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R Software Module

rwasp_multipleregression.wasp

Title produced by software

Multiple Regression

Date of computation

Tue, 13 Dec 2011 06:22:02 -0500

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Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Dec/13/t13237764668xrch3m1i6ge1dj.htm/, Retrieved Thu, 02 May 2024 17:55:10 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=154359, Retrieved Thu, 02 May 2024 17:55:10 +0000

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User-defined keywords

Estimated Impact

123

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)

-     [Multiple Regression] [] [2010-12-05 18:56:24] [b98453cac15ba1066b407e146608df68]
- R PD    [Multiple Regression] [Multiple regression] [2011-12-13 11:22:02] [c897fb90cb9e1f725365d7e541ad7850] [Current]

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Dataseries X:

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7.4	0.7	0	1.9	0.076	11	34	0.9978	3.51	0.56	9.4	5
7.8	0.88	0	2.6	0.098	25	67	0.9968	3.2	0.68	9.8	5
7.8	0.76	0.04	2.3	0.092	15	54	0.997	3.26	0.65	9.8	5
11.2	0.28	0.56	1.9	0.075	17	60	0.998	3.16	0.58	9.8	6
7.4	0.7	0	1.9	0.076	11	34	0.9978	3.51	0.56	9.4	5
7.4	0.66	0	1.8	0.075	13	40	0.9978	3.51	0.56	9.4	5
7.9	0.6	0.06	1.6	0.069	15	59	0.9964	3.3	0.46	9.4	5
7.3	0.65	0	1.2	0.065	15	21	0.9946	3.39	0.47	10	7
7.8	0.58	0.02	2	0.073	9	18	0.9968	3.36	0.57	9.5	7
7.5	0.5	0.36	6.1	0.071	17	102	0.9978	3.35	0.8	10.5	5
6.7	0.58	0.08	1.8	0.097	15	65	0.9959	3.28	0.54	9.2	5
7.5	0.5	0.36	6.1	0.071	17	102	0.9978	3.35	0.8	10.5	5
5.6	0.615	0	1.6	0.089	16	59	0.9943	3.58	0.52	9.9	5
7.8	0.61	0.29	1.6	0.114	9	29	0.9974	3.26	1.56	9.1	5
8.9	0.62	0.18	3.8	0.176	52	145	0.9986	3.16	0.88	9.2	5
8.9	0.62	0.19	3.9	0.17	51	148	0.9986	3.17	0.93	9.2	5
8.5	0.28	0.56	1.8	0.092	35	103	0.9969	3.3	0.75	10.5	7
8.1	0.56	0.28	1.7	0.368	16	56	0.9968	3.11	1.28	9.3	5
7.4	0.59	0.08	4.4	0.086	6	29	0.9974	3.38	0.5	9	4
7.9	0.32	0.51	1.8	0.341	17	56	0.9969	3.04	1.08	9.2	6
8.9	0.22	0.48	1.8	0.077	29	60	0.9968	3.39	0.53	9.4	6
7.6	0.39	0.31	2.3	0.082	23	71	0.9982	3.52	0.65	9.7	5
7.9	0.43	0.21	1.6	0.106	10	37	0.9966	3.17	0.91	9.5	5
8.5	0.49	0.11	2.3	0.084	9	67	0.9968	3.17	0.53	9.4	5
6.9	0.4	0.14	2.4	0.085	21	40	0.9968	3.43	0.63	9.7	6
6.3	0.39	0.16	1.4	0.08	11	23	0.9955	3.34	0.56	9.3	5
7.6	0.41	0.24	1.8	0.08	4	11	0.9962	3.28	0.59	9.5	5
7.9	0.43	0.21	1.6	0.106	10	37	0.9966	3.17	0.91	9.5	5
7.1	0.71	0	1.9	0.08	14	35	0.9972	3.47	0.55	9.4	5
7.8	0.645	0	2	0.082	8	16	0.9964	3.38	0.59	9.8	6
6.7	0.675	0.07	2.4	0.089	17	82	0.9958	3.35	0.54	10.1	5
6.9	0.685	0	2.5	0.105	22	37	0.9966	3.46	0.57	10.6	6
8.3	0.655	0.12	2.3	0.083	15	113	0.9966	3.17	0.66	9.8	5
6.9	0.605	0.12	10.7	0.073	40	83	0.9993	3.45	0.52	9.4	6
5.2	0.32	0.25	1.8	0.103	13	50	0.9957	3.38	0.55	9.2	5
7.8	0.645	0	5.5	0.086	5	18	0.9986	3.4	0.55	9.6	6
7.8	0.6	0.14	2.4	0.086	3	15	0.9975	3.42	0.6	10.8	6
8.1	0.38	0.28	2.1	0.066	13	30	0.9968	3.23	0.73	9.7	7
5.7	1.13	0.09	1.5	0.172	7	19	0.994	3.5	0.48	9.8	4
7.3	0.45	0.36	5.9	0.074	12	87	0.9978	3.33	0.83	10.5	5
7.3	0.45	0.36	5.9	0.074	12	87	0.9978	3.33	0.83	10.5	5
8.8	0.61	0.3	2.8	0.088	17	46	0.9976	3.26	0.51	9.3	4
7.5	0.49	0.2	2.6	0.332	8	14	0.9968	3.21	0.9	10.5	6
8.1	0.66	0.22	2.2	0.069	9	23	0.9968	3.3	1.2	10.3	5
6.8	0.67	0.02	1.8	0.05	5	11	0.9962	3.48	0.52	9.5	5
4.6	0.52	0.15	2.1	0.054	8	65	0.9934	3.9	0.56	13.1	4
7.7	0.935	0.43	2.2	0.114	22	114	0.997	3.25	0.73	9.2	5
8.7	0.29	0.52	1.6	0.113	12	37	0.9969	3.25	0.58	9.5	5
6.4	0.4	0.23	1.6	0.066	5	12	0.9958	3.34	0.56	9.2	5
5.6	0.31	0.37	1.4	0.074	12	96	0.9954	3.32	0.58	9.2	5
8.8	0.66	0.26	1.7	0.074	4	23	0.9971	3.15	0.74	9.2	5
6.6	0.52	0.04	2.2	0.069	8	15	0.9956	3.4	0.63	9.4	6
6.6	0.5	0.04	2.1	0.068	6	14	0.9955	3.39	0.64	9.4	6
8.6	0.38	0.36	3	0.081	30	119	0.997	3.2	0.56	9.4	5
7.6	0.51	0.15	2.8	0.11	33	73	0.9955	3.17	0.63	10.2	6
7.7	0.62	0.04	3.8	0.084	25	45	0.9978	3.34	0.53	9.5	5
10.2	0.42	0.57	3.4	0.07	4	10	0.9971	3.04	0.63	9.6	5
7.5	0.63	0.12	5.1	0.111	50	110	0.9983	3.26	0.77	9.4	5
7.8	0.59	0.18	2.3	0.076	17	54	0.9975	3.43	0.59	10	5
7.3	0.39	0.31	2.4	0.074	9	46	0.9962	3.41	0.54	9.4	6
8.8	0.4	0.4	2.2	0.079	19	52	0.998	3.44	0.64	9.2	5
7.7	0.69	0.49	1.8	0.115	20	112	0.9968	3.21	0.71	9.3	5
7.5	0.52	0.16	1.9	0.085	12	35	0.9968	3.38	0.62	9.5	7
7	0.735	0.05	2	0.081	13	54	0.9966	3.39	0.57	9.8	5
7.2	0.725	0.05	4.65	0.086	4	11	0.9962	3.41	0.39	10.9	5
7.2	0.725	0.05	4.65	0.086	4	11	0.9962	3.41	0.39	10.9	5
7.5	0.52	0.11	1.5	0.079	11	39	0.9968	3.42	0.58	9.6	5
6.6	0.705	0.07	1.6	0.076	6	15	0.9962	3.44	0.58	10.7	5
9.3	0.32	0.57	2	0.074	27	65	0.9969	3.28	0.79	10.7	5
8	0.705	0.05	1.9	0.074	8	19	0.9962	3.34	0.95	10.5	6
7.7	0.63	0.08	1.9	0.076	15	27	0.9967	3.32	0.54	9.5	6
7.7	0.67	0.23	2.1	0.088	17	96	0.9962	3.32	0.48	9.5	5
7.7	0.69	0.22	1.9	0.084	18	94	0.9961	3.31	0.48	9.5	5
8.3	0.675	0.26	2.1	0.084	11	43	0.9976	3.31	0.53	9.2	4
9.7	0.32	0.54	2.5	0.094	28	83	0.9984	3.28	0.82	9.6	5
8.8	0.41	0.64	2.2	0.093	9	42	0.9986	3.54	0.66	10.5	5
8.8	0.41	0.64	2.2	0.093	9	42	0.9986	3.54	0.66	10.5	5
6.8	0.785	0	2.4	0.104	14	30	0.9966	3.52	0.55	10.7	6
6.7	0.75	0.12	2	0.086	12	80	0.9958	3.38	0.52	10.1	5
8.3	0.625	0.2	1.5	0.08	27	119	0.9972	3.16	1.12	9.1	4
6.2	0.45	0.2	1.6	0.069	3	15	0.9958	3.41	0.56	9.2	5
7.8	0.43	0.7	1.9	0.464	22	67	0.9974	3.13	1.28	9.4	5
7.4	0.5	0.47	2	0.086	21	73	0.997	3.36	0.57	9.1	5
7.3	0.67	0.26	1.8	0.401	16	51	0.9969	3.16	1.14	9.4	5
6.3	0.3	0.48	1.8	0.069	18	61	0.9959	3.44	0.78	10.3	6
6.9	0.55	0.15	2.2	0.076	19	40	0.9961	3.41	0.59	10.1	5
8.6	0.49	0.28	1.9	0.11	20	136	0.9972	2.93	1.95	9.9	6
7.7	0.49	0.26	1.9	0.062	9	31	0.9966	3.39	0.64	9.6	5
9.3	0.39	0.44	2.1	0.107	34	125	0.9978	3.14	1.22	9.5	5
7	0.62	0.08	1.8	0.076	8	24	0.9978	3.48	0.53	9	5
7.9	0.52	0.26	1.9	0.079	42	140	0.9964	3.23	0.54	9.5	5
8.6	0.49	0.28	1.9	0.11	20	136	0.9972	2.93	1.95	9.9	6
8.6	0.49	0.29	2	0.11	19	133	0.9972	2.93	1.98	9.8	5
7.7	0.49	0.26	1.9	0.062	9	31	0.9966	3.39	0.64	9.6	5
5	1.02	0.04	1.4	0.045	41	85	0.9938	3.75	0.48	10.5	4
4.7	0.6	0.17	2.3	0.058	17	106	0.9932	3.85	0.6	12.9	6
6.8	0.775	0	3	0.102	8	23	0.9965	3.45	0.56	10.7	5
7	0.5	0.25	2	0.07	3	22	0.9963	3.25	0.63	9.2	5
7.6	0.9	0.06	2.5	0.079	5	10	0.9967	3.39	0.56	9.8	5
8.1	0.545	0.18	1.9	0.08	13	35	0.9972	3.3	0.59	9	6
8.3	0.61	0.3	2.1	0.084	11	50	0.9972	3.4	0.61	10.2	6
7.8	0.5	0.3	1.9	0.075	8	22	0.9959	3.31	0.56	10.4	6
8.1	0.545	0.18	1.9	0.08	13	35	0.9972	3.3	0.59	9	6
8.1	0.575	0.22	2.1	0.077	12	65	0.9967	3.29	0.51	9.2	5
7.2	0.49	0.24	2.2	0.07	5	36	0.996	3.33	0.48	9.4	5
8.1	0.575	0.22	2.1	0.077	12	65	0.9967	3.29	0.51	9.2	5
7.8	0.41	0.68	1.7	0.467	18	69	0.9973	3.08	1.31	9.3	5
6.2	0.63	0.31	1.7	0.088	15	64	0.9969	3.46	0.79	9.3	5
8	0.33	0.53	2.5	0.091	18	80	0.9976	3.37	0.8	9.6	6
8.1	0.785	0.52	2	0.122	37	153	0.9969	3.21	0.69	9.3	5
7.8	0.56	0.19	1.8	0.104	12	47	0.9964	3.19	0.93	9.5	5
8.4	0.62	0.09	2.2	0.084	11	108	0.9964	3.15	0.66	9.8	5
8.4	0.6	0.1	2.2	0.085	14	111	0.9964	3.15	0.66	9.8	5
10.1	0.31	0.44	2.3	0.08	22	46	0.9988	3.32	0.67	9.7	6
7.8	0.56	0.19	1.8	0.104	12	47	0.9964	3.19	0.93	9.5	5
9.4	0.4	0.31	2.2	0.09	13	62	0.9966	3.07	0.63	10.5	6
8.3	0.54	0.28	1.9	0.077	11	40	0.9978	3.39	0.61	10	6
7.8	0.56	0.12	2	0.082	7	28	0.997	3.37	0.5	9.4	6
8.8	0.55	0.04	2.2	0.119	14	56	0.9962	3.21	0.6	10.9	6
7	0.69	0.08	1.8	0.097	22	89	0.9959	3.34	0.54	9.2	6
7.3	1.07	0.09	1.7	0.178	10	89	0.9962	3.3	0.57	9	5
8.8	0.55	0.04	2.2	0.119	14	56	0.9962	3.21	0.6	10.9	6
7.3	0.695	0	2.5	0.075	3	13	0.998	3.49	0.52	9.2	5
8	0.71	0	2.6	0.08	11	34	0.9976	3.44	0.53	9.5	5
7.8	0.5	0.17	1.6	0.082	21	102	0.996	3.39	0.48	9.5	5
9	0.62	0.04	1.9	0.146	27	90	0.9984	3.16	0.7	9.4	5
8.2	1.33	0	1.7	0.081	3	12	0.9964	3.53	0.49	10.9	5
8.1	1.33	0	1.8	0.082	3	12	0.9964	3.54	0.48	10.9	5
8	0.59	0.16	1.8	0.065	3	16	0.9962	3.42	0.92	10.5	7
6.1	0.38	0.15	1.8	0.072	6	19	0.9955	3.42	0.57	9.4	5
8	0.745	0.56	2	0.118	30	134	0.9968	3.24	0.66	9.4	5
5.6	0.5	0.09	2.3	0.049	17	99	0.9937	3.63	0.63	13	5
5.6	0.5	0.09	2.3	0.049	17	99	0.9937	3.63	0.63	13	5
6.6	0.5	0.01	1.5	0.06	17	26	0.9952	3.4	0.58	9.8	6
7.9	1.04	0.05	2.2	0.084	13	29	0.9959	3.22	0.55	9.9	6
8.4	0.745	0.11	1.9	0.09	16	63	0.9965	3.19	0.82	9.6	5
8.3	0.715	0.15	1.8	0.089	10	52	0.9968	3.23	0.77	9.5	5
7.2	0.415	0.36	2	0.081	13	45	0.9972	3.48	0.64	9.2	5
7.8	0.56	0.19	2.1	0.081	15	105	0.9962	3.33	0.54	9.5	5
7.8	0.56	0.19	2	0.081	17	108	0.9962	3.32	0.54	9.5	5
8.4	0.745	0.11	1.9	0.09	16	63	0.9965	3.19	0.82	9.6	5
8.3	0.715	0.15	1.8	0.089	10	52	0.9968	3.23	0.77	9.5	5
5.2	0.34	0	1.8	0.05	27	63	0.9916	3.68	0.79	14	6
6.3	0.39	0.08	1.7	0.066	3	20	0.9954	3.34	0.58	9.4	5
5.2	0.34	0	1.8	0.05	27	63	0.9916	3.68	0.79	14	6
8.1	0.67	0.55	1.8	0.117	32	141	0.9968	3.17	0.62	9.4	5
5.8	0.68	0.02	1.8	0.087	21	94	0.9944	3.54	0.52	10	5
7.6	0.49	0.26	1.6	0.236	10	88	0.9968	3.11	0.8	9.3	5
6.9	0.49	0.1	2.3	0.074	12	30	0.9959	3.42	0.58	10.2	6
8.2	0.4	0.44	2.8	0.089	11	43	0.9975	3.53	0.61	10.5	6
7.3	0.33	0.47	2.1	0.077	5	11	0.9958	3.33	0.53	10.3	6
9.2	0.52	1	3.4	0.61	32	69	0.9996	2.74	2	9.4	4
7.5	0.6	0.03	1.8	0.095	25	99	0.995	3.35	0.54	10.1	5
7.5	0.6	0.03	1.8	0.095	25	99	0.995	3.35	0.54	10.1	5
7.1	0.43	0.42	5.5	0.07	29	129	0.9973	3.42	0.72	10.5	5
7.1	0.43	0.42	5.5	0.071	28	128	0.9973	3.42	0.71	10.5	5
7.1	0.43	0.42	5.5	0.07	29	129	0.9973	3.42	0.72	10.5	5
7.1	0.43	0.42	5.5	0.071	28	128	0.9973	3.42	0.71	10.5	5
7.1	0.68	0	2.2	0.073	12	22	0.9969	3.48	0.5	9.3	5
6.8	0.6	0.18	1.9	0.079	18	86	0.9968	3.59	0.57	9.3	6
7.6	0.95	0.03	2	0.09	7	20	0.9959	3.2	0.56	9.6	5
7.6	0.68	0.02	1.3	0.072	9	20	0.9965	3.17	1.08	9.2	4
7.8	0.53	0.04	1.7	0.076	17	31	0.9964	3.33	0.56	10	6
7.4	0.6	0.26	7.3	0.07	36	121	0.9982	3.37	0.49	9.4	5
7.3	0.59	0.26	7.2	0.07	35	121	0.9981	3.37	0.49	9.4	5
7.8	0.63	0.48	1.7	0.1	14	96	0.9961	3.19	0.62	9.5	5
6.8	0.64	0.1	2.1	0.085	18	101	0.9956	3.34	0.52	10.2	5
7.3	0.55	0.03	1.6	0.072	17	42	0.9956	3.37	0.48	9	4
6.8	0.63	0.07	2.1	0.089	11	44	0.9953	3.47	0.55	10.4	6
7.5	0.705	0.24	1.8	0.36	15	63	0.9964	3	1.59	9.5	5
7.9	0.885	0.03	1.8	0.058	4	8	0.9972	3.36	0.33	9.1	4
8	0.42	0.17	2	0.073	6	18	0.9972	3.29	0.61	9.2	6
8	0.42	0.17	2	0.073	6	18	0.9972	3.29	0.61	9.2	6
7.4	0.62	0.05	1.9	0.068	24	42	0.9961	3.42	0.57	11.5	6
7.3	0.38	0.21	2	0.08	7	35	0.9961	3.33	0.47	9.5	5
6.9	0.5	0.04	1.5	0.085	19	49	0.9958	3.35	0.78	9.5	5
7.3	0.38	0.21	2	0.08	7	35	0.9961	3.33	0.47	9.5	5
7.5	0.52	0.42	2.3	0.087	8	38	0.9972	3.58	0.61	10.5	6
7	0.805	0	2.5	0.068	7	20	0.9969	3.48	0.56	9.6	5
8.8	0.61	0.14	2.4	0.067	10	42	0.9969	3.19	0.59	9.5	5
8.8	0.61	0.14	2.4	0.067	10	42	0.9969	3.19	0.59	9.5	5
8.9	0.61	0.49	2	0.27	23	110	0.9972	3.12	1.02	9.3	5
7.2	0.73	0.02	2.5	0.076	16	42	0.9972	3.44	0.52	9.3	5
6.8	0.61	0.2	1.8	0.077	11	65	0.9971	3.54	0.58	9.3	5
6.7	0.62	0.21	1.9	0.079	8	62	0.997	3.52	0.58	9.3	6
8.9	0.31	0.57	2	0.111	26	85	0.9971	3.26	0.53	9.7	5
7.4	0.39	0.48	2	0.082	14	67	0.9972	3.34	0.55	9.2	5
7.7	0.705	0.1	2.6	0.084	9	26	0.9976	3.39	0.49	9.7	5
7.9	0.5	0.33	2	0.084	15	143	0.9968	3.2	0.55	9.5	5
7.9	0.49	0.32	1.9	0.082	17	144	0.9968	3.2	0.55	9.5	5
8.2	0.5	0.35	2.9	0.077	21	127	0.9976	3.23	0.62	9.4	5
6.4	0.37	0.25	1.9	0.074	21	49	0.9974	3.57	0.62	9.8	6
6.8	0.63	0.12	3.8	0.099	16	126	0.9969	3.28	0.61	9.5	5
7.6	0.55	0.21	2.2	0.071	7	28	0.9964	3.28	0.55	9.7	5
7.6	0.55	0.21	2.2	0.071	7	28	0.9964	3.28	0.55	9.7	5
7.8	0.59	0.33	2	0.074	24	120	0.9968	3.25	0.54	9.4	5
7.3	0.58	0.3	2.4	0.074	15	55	0.9968	3.46	0.59	10.2	5
11.5	0.3	0.6	2	0.067	12	27	0.9981	3.11	0.97	10.1	6
5.4	0.835	0.08	1.2	0.046	13	93	0.9924	3.57	0.85	13	7
6.9	1.09	0.06	2.1	0.061	12	31	0.9948	3.51	0.43	11.4	4
9.6	0.32	0.47	1.4	0.056	9	24	0.99695	3.22	0.82	10.3	7
8.8	0.37	0.48	2.1	0.097	39	145	0.9975	3.04	1.03	9.3	5
6.8	0.5	0.11	1.5	0.075	16	49	0.99545	3.36	0.79	9.5	5
7	0.42	0.35	1.6	0.088	16	39	0.9961	3.34	0.55	9.2	5
7	0.43	0.36	1.6	0.089	14	37	0.99615	3.34	0.56	9.2	6
12.8	0.3	0.74	2.6	0.095	9	28	0.9994	3.2	0.77	10.8	7
12.8	0.3	0.74	2.6	0.095	9	28	0.9994	3.2	0.77	10.8	7
7.8	0.57	0.31	1.8	0.069	26	120	0.99625	3.29	0.53	9.3	5
7.8	0.44	0.28	2.7	0.1	18	95	0.9966	3.22	0.67	9.4	5
11	0.3	0.58	2.1	0.054	7	19	0.998	3.31	0.88	10.5	7
9.7	0.53	0.6	2	0.039	5	19	0.99585	3.3	0.86	12.4	6
8	0.725	0.24	2.8	0.083	10	62	0.99685	3.35	0.56	10	6
11.6	0.44	0.64	2.1	0.059	5	15	0.998	3.21	0.67	10.2	6
8.2	0.57	0.26	2.2	0.06	28	65	0.9959	3.3	0.43	10.1	5
7.8	0.735	0.08	2.4	0.092	10	41	0.9974	3.24	0.71	9.8	6
7	0.49	0.49	5.6	0.06	26	121	0.9974	3.34	0.76	10.5	5
8.7	0.625	0.16	2	0.101	13	49	0.9962	3.14	0.57	11	5
8.1	0.725	0.22	2.2	0.072	11	41	0.9967	3.36	0.55	9.1	5
7.5	0.49	0.19	1.9	0.076	10	44	0.9957	3.39	0.54	9.7	5
7.8	0.53	0.33	2.4	0.08	24	144	0.99655	3.3	0.6	9.5	5
7.8	0.34	0.37	2	0.082	24	58	0.9964	3.34	0.59	9.4	6
7.4	0.53	0.26	2	0.101	16	72	0.9957	3.15	0.57	9.4	5
6.8	0.61	0.04	1.5	0.057	5	10	0.99525	3.42	0.6	9.5	5
8.6	0.645	0.25	2	0.083	8	28	0.99815	3.28	0.6	10	6
8.4	0.635	0.36	2	0.089	15	55	0.99745	3.31	0.57	10.4	4
7.7	0.43	0.25	2.6	0.073	29	63	0.99615	3.37	0.58	10.5	6
8.9	0.59	0.5	2	0.337	27	81	0.9964	3.04	1.61	9.5	6
9	0.82	0.14	2.6	0.089	9	23	0.9984	3.39	0.63	9.8	5
7.7	0.43	0.25	2.6	0.073	29	63	0.99615	3.37	0.58	10.5	6
6.9	0.52	0.25	2.6	0.081	10	37	0.99685	3.46	0.5	11	5
5.2	0.48	0.04	1.6	0.054	19	106	0.9927	3.54	0.62	12.2	7
8	0.38	0.06	1.8	0.078	12	49	0.99625	3.37	0.52	9.9	6
8.5	0.37	0.2	2.8	0.09	18	58	0.998	3.34	0.7	9.6	6
6.9	0.52	0.25	2.6	0.081	10	37	0.99685	3.46	0.5	11	5
8.2	1	0.09	2.3	0.065	7	37	0.99685	3.32	0.55	9	6
7.2	0.63	0	1.9	0.097	14	38	0.99675	3.37	0.58	9	6
7.2	0.63	0	1.9	0.097	14	38	0.99675	3.37	0.58	9	6
7.2	0.645	0	1.9	0.097	15	39	0.99675	3.37	0.58	9.2	6
7.2	0.63	0	1.9	0.097	14	38	0.99675	3.37	0.58	9	6
8.2	1	0.09	2.3	0.065	7	37	0.99685	3.32	0.55	9	6
8.9	0.635	0.37	1.7	0.263	5	62	0.9971	3	1.09	9.3	5
12	0.38	0.56	2.1	0.093	6	24	0.99925	3.14	0.71	10.9	6
7.7	0.58	0.1	1.8	0.102	28	109	0.99565	3.08	0.49	9.8	6
15	0.21	0.44	2.2	0.075	10	24	1.00005	3.07	0.84	9.2	7
15	0.21	0.44	2.2	0.075	10	24	1.00005	3.07	0.84	9.2	7
7.3	0.66	0	2	0.084	6	23	0.9983	3.61	0.96	9.9	6
7.1	0.68	0.07	1.9	0.075	16	51	0.99685	3.38	0.52	9.5	5
8.2	0.6	0.17	2.3	0.072	11	73	0.9963	3.2	0.45	9.3	5
7.7	0.53	0.06	1.7	0.074	9	39	0.99615	3.35	0.48	9.8	6
7.3	0.66	0	2	0.084	6	23	0.9983	3.61	0.96	9.9	6
10.8	0.32	0.44	1.6	0.063	16	37	0.9985	3.22	0.78	10	6
7.1	0.6	0	1.8	0.074	16	34	0.9972	3.47	0.7	9.9	6
11.1	0.35	0.48	3.1	0.09	5	21	0.9986	3.17	0.53	10.5	5
7.7	0.775	0.42	1.9	0.092	8	86	0.9959	3.23	0.59	9.5	5
7.1	0.6	0	1.8	0.074	16	34	0.9972	3.47	0.7	9.9	6
8	0.57	0.23	3.2	0.073	17	119	0.99675	3.26	0.57	9.3	5
9.4	0.34	0.37	2.2	0.075	5	13	0.998	3.22	0.62	9.2	5
6.6	0.695	0	2.1	0.075	12	56	0.9968	3.49	0.67	9.2	5
7.7	0.41	0.76	1.8	0.611	8	45	0.9968	3.06	1.26	9.4	5
10	0.31	0.47	2.6	0.085	14	33	0.99965	3.36	0.8	10.5	7
7.9	0.33	0.23	1.7	0.077	18	45	0.99625	3.29	0.65	9.3	5
7	0.975	0.04	2	0.087	12	67	0.99565	3.35	0.6	9.4	4
8	0.52	0.03	1.7	0.07	10	35	0.99575	3.34	0.57	10	5
7.9	0.37	0.23	1.8	0.077	23	49	0.9963	3.28	0.67	9.3	5
12.5	0.56	0.49	2.4	0.064	5	27	0.9999	3.08	0.87	10.9	5
11.8	0.26	0.52	1.8	0.071	6	10	0.9968	3.2	0.72	10.2	7
8.1	0.87	0	3.3	0.096	26	61	1.00025	3.6	0.72	9.8	4
7.9	0.35	0.46	3.6	0.078	15	37	0.9973	3.35	0.86	12.8	8
6.9	0.54	0.04	3	0.077	7	27	0.9987	3.69	0.91	9.4	6
11.5	0.18	0.51	4	0.104	4	23	0.9996	3.28	0.97	10.1	6
7.9	0.545	0.06	4	0.087	27	61	0.9965	3.36	0.67	10.7	6
11.5	0.18	0.51	4	0.104	4	23	0.9996	3.28	0.97	10.1	6
10.9	0.37	0.58	4	0.071	17	65	0.99935	3.22	0.78	10.1	5
8.4	0.715	0.2	2.4	0.076	10	38	0.99735	3.31	0.64	9.4	5
7.5	0.65	0.18	7	0.088	27	94	0.99915	3.38	0.77	9.4	5
7.9	0.545	0.06	4	0.087	27	61	0.9965	3.36	0.67	10.7	6
6.9	0.54	0.04	3	0.077	7	27	0.9987	3.69	0.91	9.4	6
11.5	0.18	0.51	4	0.104	4	23	0.9996	3.28	0.97	10.1	6
10.3	0.32	0.45	6.4	0.073	5	13	0.9976	3.23	0.82	12.6	8
8.9	0.4	0.32	5.6	0.087	10	47	0.9991	3.38	0.77	10.5	7
11.4	0.26	0.44	3.6	0.071	6	19	0.9986	3.12	0.82	9.3	6
7.7	0.27	0.68	3.5	0.358	5	10	0.9972	3.25	1.08	9.9	7
7.6	0.52	0.12	3	0.067	12	53	0.9971	3.36	0.57	9.1	5
8.9	0.4	0.32	5.6	0.087	10	47	0.9991	3.38	0.77	10.5	7
9.9	0.59	0.07	3.4	0.102	32	71	1.00015	3.31	0.71	9.8	5
9.9	0.59	0.07	3.4	0.102	32	71	1.00015	3.31	0.71	9.8	5
12	0.45	0.55	2	0.073	25	49	0.9997	3.1	0.76	10.3	6
7.5	0.4	0.12	3	0.092	29	53	0.9967	3.37	0.7	10.3	6
8.7	0.52	0.09	2.5	0.091	20	49	0.9976	3.34	0.86	10.6	7
11.6	0.42	0.53	3.3	0.105	33	98	1.001	3.2	0.95	9.2	5
8.7	0.52	0.09	2.5	0.091	20	49	0.9976	3.34	0.86	10.6	7
11	0.2	0.48	2	0.343	6	18	0.9979	3.3	0.71	10.5	5
10.4	0.55	0.23	2.7	0.091	18	48	0.9994	3.22	0.64	10.3	6
6.9	0.36	0.25	2.4	0.098	5	16	0.9964	3.41	0.6	10.1	6
13.3	0.34	0.52	3.2	0.094	17	53	1.0014	3.05	0.81	9.5	6
10.8	0.5	0.46	2.5	0.073	5	27	1.0001	3.05	0.64	9.5	5
10.6	0.83	0.37	2.6	0.086	26	70	0.9981	3.16	0.52	9.9	5
7.1	0.63	0.06	2	0.083	8	29	0.99855	3.67	0.73	9.6	5
7.2	0.65	0.02	2.3	0.094	5	31	0.9993	3.67	0.8	9.7	5
6.9	0.67	0.06	2.1	0.08	8	33	0.99845	3.68	0.71	9.6	5
7.5	0.53	0.06	2.6	0.086	20	44	0.9965	3.38	0.59	10.7	6
11.1	0.18	0.48	1.5	0.068	7	15	0.9973	3.22	0.64	10.1	6
8.3	0.705	0.12	2.6	0.092	12	28	0.9994	3.51	0.72	10	5
7.4	0.67	0.12	1.6	0.186	5	21	0.996	3.39	0.54	9.5	5
8.4	0.65	0.6	2.1	0.112	12	90	0.9973	3.2	0.52	9.2	5
10.3	0.53	0.48	2.5	0.063	6	25	0.9998	3.12	0.59	9.3	6
7.6	0.62	0.32	2.2	0.082	7	54	0.9966	3.36	0.52	9.4	5
10.3	0.41	0.42	2.4	0.213	6	14	0.9994	3.19	0.62	9.5	6
10.3	0.43	0.44	2.4	0.214	5	12	0.9994	3.19	0.63	9.5	6
7.4	0.29	0.38	1.7	0.062	9	30	0.9968	3.41	0.53	9.5	6
10.3	0.53	0.48	2.5	0.063	6	25	0.9998	3.12	0.59	9.3	6
7.9	0.53	0.24	2	0.072	15	105	0.996	3.27	0.54	9.4	6
9	0.46	0.31	2.8	0.093	19	98	0.99815	3.32	0.63	9.5	6
8.6	0.47	0.3	3	0.076	30	135	0.9976	3.3	0.53	9.4	5
7.4	0.36	0.29	2.6	0.087	26	72	0.99645	3.39	0.68	11	5
7.1	0.35	0.29	2.5	0.096	20	53	0.9962	3.42	0.65	11	6
9.6	0.56	0.23	3.4	0.102	37	92	0.9996	3.3	0.65	10.1	5
9.6	0.77	0.12	2.9	0.082	30	74	0.99865	3.3	0.64	10.4	6
9.8	0.66	0.39	3.2	0.083	21	59	0.9989	3.37	0.71	11.5	7
9.6	0.77	0.12	2.9	0.082	30	74	0.99865	3.3	0.64	10.4	6
9.8	0.66	0.39	3.2	0.083	21	59	0.9989	3.37	0.71	11.5	7
9.3	0.61	0.26	3.4	0.09	25	87	0.99975	3.24	0.62	9.7	5
7.8	0.62	0.05	2.3	0.079	6	18	0.99735	3.29	0.63	9.3	5
10.3	0.59	0.42	2.8	0.09	35	73	0.999	3.28	0.7	9.5	6
10	0.49	0.2	11	0.071	13	50	1.0015	3.16	0.69	9.2	6
10	0.49	0.2	11	0.071	13	50	1.0015	3.16	0.69	9.2	6
11.6	0.53	0.66	3.65	0.121	6	14	0.9978	3.05	0.74	11.5	7
10.3	0.44	0.5	4.5	0.107	5	13	0.998	3.28	0.83	11.5	5
13.4	0.27	0.62	2.6	0.082	6	21	1.0002	3.16	0.67	9.7	6
10.7	0.46	0.39	2	0.061	7	15	0.9981	3.18	0.62	9.5	5
10.2	0.36	0.64	2.9	0.122	10	41	0.998	3.23	0.66	12.5	6
10.2	0.36	0.64	2.9	0.122	10	41	0.998	3.23	0.66	12.5	6
8	0.58	0.28	3.2	0.066	21	114	0.9973	3.22	0.54	9.4	6
8.4	0.56	0.08	2.1	0.105	16	44	0.9958	3.13	0.52	11	5
7.9	0.65	0.01	2.5	0.078	17	38	0.9963	3.34	0.74	11.7	7
11.9	0.695	0.53	3.4	0.128	7	21	0.9992	3.17	0.84	12.2	7
8.9	0.43	0.45	1.9	0.052	6	16	0.9948	3.35	0.7	12.5	6
7.8	0.43	0.32	2.8	0.08	29	58	0.9974	3.31	0.64	10.3	5
12.4	0.49	0.58	3	0.103	28	99	1.0008	3.16	1	11.5	6
12.5	0.28	0.54	2.3	0.082	12	29	0.9997	3.11	1.36	9.8	7
12.2	0.34	0.5	2.4	0.066	10	21	1	3.12	1.18	9.2	6
10.6	0.42	0.48	2.7	0.065	5	18	0.9972	3.21	0.87	11.3	6
10.9	0.39	0.47	1.8	0.118	6	14	0.9982	3.3	0.75	9.8	6
10.9	0.39	0.47	1.8	0.118	6	14	0.9982	3.3	0.75	9.8	6
11.9	0.57	0.5	2.6	0.082	6	32	1.0006	3.12	0.78	10.7	6
7	0.685	0	1.9	0.067	40	63	0.9979	3.6	0.81	9.9	5
6.6	0.815	0.02	2.7	0.072	17	34	0.9955	3.58	0.89	12.3	7
13.8	0.49	0.67	3	0.093	6	15	0.9986	3.02	0.93	12	6
9.6	0.56	0.31	2.8	0.089	15	46	0.9979	3.11	0.92	10	6
9.1	0.785	0	2.6	0.093	11	28	0.9994	3.36	0.86	9.4	6
10.7	0.67	0.22	2.7	0.107	17	34	1.0004	3.28	0.98	9.9	6
9.1	0.795	0	2.6	0.096	11	26	0.9994	3.35	0.83	9.4	6
7.7	0.665	0	2.4	0.09	8	19	0.9974	3.27	0.73	9.3	5
13.5	0.53	0.79	4.8	0.12	23	77	1.0018	3.18	0.77	13	5
6.1	0.21	0.4	1.4	0.066	40.5	165	0.9912	3.25	0.59	11.9	6
6.7	0.75	0.01	2.4	0.078	17	32	0.9955	3.55	0.61	12.8	6
11.5	0.41	0.52	3	0.08	29	55	1.0001	3.26	0.88	11	5
10.5	0.42	0.66	2.95	0.116	12	29	0.997	3.24	0.75	11.7	7
11.9	0.43	0.66	3.1	0.109	10	23	1	3.15	0.85	10.4	7
12.6	0.38	0.66	2.6	0.088	10	41	1.001	3.17	0.68	9.8	6
8.2	0.7	0.23	2	0.099	14	81	0.9973	3.19	0.7	9.4	5
8.6	0.45	0.31	2.6	0.086	21	50	0.9982	3.37	0.91	9.9	6
11.9	0.58	0.66	2.5	0.072	6	37	0.9992	3.05	0.56	10	5
12.5	0.46	0.63	2	0.071	6	15	0.9988	2.99	0.87	10.2	5
12.8	0.615	0.66	5.8	0.083	7	42	1.0022	3.07	0.73	10	7
10	0.42	0.5	3.4	0.107	7	21	0.9979	3.26	0.93	11.8	6
12.8	0.615	0.66	5.8	0.083	7	42	1.0022	3.07	0.73	10	7
10.4	0.575	0.61	2.6	0.076	11	24	1	3.16	0.69	9	5
10.3	0.34	0.52	2.8	0.159	15	75	0.9998	3.18	0.64	9.4	5
9.4	0.27	0.53	2.4	0.074	6	18	0.9962	3.2	1.13	12	7
6.9	0.765	0.02	2.3	0.063	35	63	0.9975	3.57	0.78	9.9	5
7.9	0.24	0.4	1.6	0.056	11	25	0.9967	3.32	0.87	8.7	6
9.1	0.28	0.48	1.8	0.067	26	46	0.9967	3.32	1.04	10.6	6
7.4	0.55	0.22	2.2	0.106	12	72	0.9959	3.05	0.63	9.2	5
14	0.41	0.63	3.8	0.089	6	47	1.0014	3.01	0.81	10.8	6
11.5	0.54	0.71	4.4	0.124	6	15	0.9984	3.01	0.83	11.8	7
11.5	0.45	0.5	3	0.078	19	47	1.0003	3.26	1.11	11	6
9.4	0.27	0.53	2.4	0.074	6	18	0.9962	3.2	1.13	12	7
11.4	0.625	0.66	6.2	0.088	6	24	0.9988	3.11	0.99	13.3	6
8.3	0.42	0.38	2.5	0.094	24	60	0.9979	3.31	0.7	10.8	6
8.3	0.26	0.42	2	0.08	11	27	0.9974	3.21	0.8	9.4	6
13.7	0.415	0.68	2.9	0.085	17	43	1.0014	3.06	0.8	10	6
8.3	0.26	0.42	2	0.08	11	27	0.9974	3.21	0.8	9.4	6
8.3	0.26	0.42	2	0.08	11	27	0.9974	3.21	0.8	9.4	6
7.7	0.51	0.28	2.1	0.087	23	54	0.998	3.42	0.74	9.2	5
7.4	0.63	0.07	2.4	0.09	11	37	0.9979	3.43	0.76	9.7	6
7.8	0.54	0.26	2	0.088	23	48	0.9981	3.41	0.74	9.2	6
8.3	0.66	0.15	1.9	0.079	17	42	0.9972	3.31	0.54	9.6	6
7.8	0.46	0.26	1.9	0.088	23	53	0.9981	3.43	0.74	9.2	6
9.6	0.38	0.31	2.5	0.096	16	49	0.9982	3.19	0.7	10	7
5.6	0.85	0.05	1.4	0.045	12	88	0.9924	3.56	0.82	12.9	8
13.7	0.415	0.68	2.9	0.085	17	43	1.0014	3.06	0.8	10	6
9.5	0.37	0.52	2	0.082	6	26	0.998	3.18	0.51	9.5	5
8.4	0.665	0.61	2	0.112	13	95	0.997	3.16	0.54	9.1	5
12.7	0.6	0.65	2.3	0.063	6	25	0.9997	3.03	0.57	9.9	5
12	0.37	0.76	4.2	0.066	7	38	1.0004	3.22	0.6	13	7
6.6	0.735	0.02	7.9	0.122	68	124	0.9994	3.47	0.53	9.9	5
11.5	0.59	0.59	2.6	0.087	13	49	0.9988	3.18	0.65	11	6
11.5	0.59	0.59	2.6	0.087	13	49	0.9988	3.18	0.65	11	6
8.7	0.765	0.22	2.3	0.064	9	42	0.9963	3.1	0.55	9.4	5
6.6	0.735	0.02	7.9	0.122	68	124	0.9994	3.47	0.53	9.9	5
7.7	0.26	0.3	1.7	0.059	20	38	0.9949	3.29	0.47	10.8	6
12.2	0.48	0.54	2.6	0.085	19	64	1	3.1	0.61	10.5	6
11.4	0.6	0.49	2.7	0.085	10	41	0.9994	3.15	0.63	10.5	6
7.7	0.69	0.05	2.7	0.075	15	27	0.9974	3.26	0.61	9.1	5
8.7	0.31	0.46	1.4	0.059	11	25	0.9966	3.36	0.76	10.1	6
9.8	0.44	0.47	2.5	0.063	9	28	0.9981	3.24	0.65	10.8	6
12	0.39	0.66	3	0.093	12	30	0.9996	3.18	0.63	10.8	7
10.4	0.34	0.58	3.7	0.174	6	16	0.997	3.19	0.7	11.3	6
12.5	0.46	0.49	4.5	0.07	26	49	0.9981	3.05	0.57	9.6	4
9	0.43	0.34	2.5	0.08	26	86	0.9987	3.38	0.62	9.5	6
9.1	0.45	0.35	2.4	0.08	23	78	0.9987	3.38	0.62	9.5	5
7.1	0.735	0.16	1.9	0.1	15	77	0.9966	3.27	0.64	9.3	5
9.9	0.4	0.53	6.7	0.097	6	19	0.9986	3.27	0.82	11.7	7
8.8	0.52	0.34	2.7	0.087	24	122	0.9982	3.26	0.61	9.5	5
8.6	0.725	0.24	6.6	0.117	31	134	1.0014	3.32	1.07	9.3	5
10.6	0.48	0.64	2.2	0.111	6	20	0.997	3.26	0.66	11.7	6
7	0.58	0.12	1.9	0.091	34	124	0.9956	3.44	0.48	10.5	5
11.9	0.38	0.51	2	0.121	7	20	0.9996	3.24	0.76	10.4	6
6.8	0.77	0	1.8	0.066	34	52	0.9976	3.62	0.68	9.9	5
9.5	0.56	0.33	2.4	0.089	35	67	0.9972	3.28	0.73	11.8	7
6.6	0.84	0.03	2.3	0.059	32	48	0.9952	3.52	0.56	12.3	7
7.7	0.96	0.2	2	0.047	15	60	0.9955	3.36	0.44	10.9	5
10.5	0.24	0.47	2.1	0.066	6	24	0.9978	3.15	0.9	11	7
7.7	0.96	0.2	2	0.047	15	60	0.9955	3.36	0.44	10.9	5
6.6	0.84	0.03	2.3	0.059	32	48	0.9952	3.52	0.56	12.3	7
6.4	0.67	0.08	2.1	0.045	19	48	0.9949	3.49	0.49	11.4	6
9.5	0.78	0.22	1.9	0.077	6	32	0.9988	3.26	0.56	10.6	6
9.1	0.52	0.33	1.3	0.07	9	30	0.9978	3.24	0.6	9.3	5
12.8	0.84	0.63	2.4	0.088	13	35	0.9997	3.1	0.6	10.4	6
10.5	0.24	0.47	2.1	0.066	6	24	0.9978	3.15	0.9	11	7
7.8	0.55	0.35	2.2	0.074	21	66	0.9974	3.25	0.56	9.2	5
11.9	0.37	0.69	2.3	0.078	12	24	0.9958	3	0.65	12.8	6
12.3	0.39	0.63	2.3	0.091	6	18	1.0004	3.16	0.49	9.5	5
10.4	0.41	0.55	3.2	0.076	22	54	0.9996	3.15	0.89	9.9	6
12.3	0.39	0.63	2.3	0.091	6	18	1.0004	3.16	0.49	9.5	5
8	0.67	0.3	2	0.06	38	62	0.9958	3.26	0.56	10.2	6
11.1	0.45	0.73	3.2	0.066	6	22	0.9986	3.17	0.66	11.2	6
10.4	0.41	0.55	3.2	0.076	22	54	0.9996	3.15	0.89	9.9	6
7	0.62	0.18	1.5	0.062	7	50	0.9951	3.08	0.6	9.3	5
12.6	0.31	0.72	2.2	0.072	6	29	0.9987	2.88	0.82	9.8	8
11.9	0.4	0.65	2.15	0.068	7	27	0.9988	3.06	0.68	11.3	6
15.6	0.685	0.76	3.7	0.1	6	43	1.0032	2.95	0.68	11.2	7
10	0.44	0.49	2.7	0.077	11	19	0.9963	3.23	0.63	11.6	7
5.3	0.57	0.01	1.7	0.054	5	27	0.9934	3.57	0.84	12.5	7
9.5	0.735	0.1	2.1	0.079	6	31	0.9986	3.23	0.56	10.1	6
12.5	0.38	0.6	2.6	0.081	31	72	0.9996	3.1	0.73	10.5	5
9.3	0.48	0.29	2.1	0.127	6	16	0.9968	3.22	0.72	11.2	5
8.6	0.53	0.22	2	0.1	7	27	0.9967	3.2	0.56	10.2	6
11.9	0.39	0.69	2.8	0.095	17	35	0.9994	3.1	0.61	10.8	6
11.9	0.39	0.69	2.8	0.095	17	35	0.9994	3.1	0.61	10.8	6
8.4	0.37	0.53	1.8	0.413	9	26	0.9979	3.06	1.06	9.1	6
6.8	0.56	0.03	1.7	0.084	18	35	0.9968	3.44	0.63	10	6
10.4	0.33	0.63	2.8	0.084	5	22	0.9998	3.26	0.74	11.2	7
7	0.23	0.4	1.6	0.063	21	67	0.9952	3.5	0.63	11.1	5
11.3	0.62	0.67	5.2	0.086	6	19	0.9988	3.22	0.69	13.4	8
8.9	0.59	0.39	2.3	0.095	5	22	0.9986	3.37	0.58	10.3	5
9.2	0.63	0.21	2.7	0.097	29	65	0.9988	3.28	0.58	9.6	5
10.4	0.33	0.63	2.8	0.084	5	22	0.9998	3.26	0.74	11.2	7
11.6	0.58	0.66	2.2	0.074	10	47	1.0008	3.25	0.57	9	3
9.2	0.43	0.52	2.3	0.083	14	23	0.9976	3.35	0.61	11.3	6
8.3	0.615	0.22	2.6	0.087	6	19	0.9982	3.26	0.61	9.3	5
11	0.26	0.68	2.55	0.085	10	25	0.997	3.18	0.61	11.8	5
8.1	0.66	0.7	2.2	0.098	25	129	0.9972	3.08	0.53	9	5
11.5	0.315	0.54	2.1	0.084	5	15	0.9987	2.98	0.7	9.2	6
10	0.29	0.4	2.9	0.098	10	26	1.0006	3.48	0.91	9.7	5
10.3	0.5	0.42	2	0.069	21	51	0.9982	3.16	0.72	11.5	6
8.8	0.46	0.45	2.6	0.065	7	18	0.9947	3.32	0.79	14	6
11.4	0.36	0.69	2.1	0.09	6	21	1	3.17	0.62	9.2	6
8.7	0.82	0.02	1.2	0.07	36	48	0.9952	3.2	0.58	9.8	5
13	0.32	0.65	2.6	0.093	15	47	0.9996	3.05	0.61	10.6	5
9.6	0.54	0.42	2.4	0.081	25	52	0.997	3.2	0.71	11.4	6
12.5	0.37	0.55	2.6	0.083	25	68	0.9995	3.15	0.82	10.4	6
9.9	0.35	0.55	2.1	0.062	5	14	0.9971	3.26	0.79	10.6	5
10.5	0.28	0.51	1.7	0.08	10	24	0.9982	3.2	0.89	9.4	6
9.6	0.68	0.24	2.2	0.087	5	28	0.9988	3.14	0.6	10.2	5
9.3	0.27	0.41	2	0.091	6	16	0.998	3.28	0.7	9.7	5
10.4	0.24	0.49	1.8	0.075	6	20	0.9977	3.18	1.06	11	6
9.6	0.68	0.24	2.2	0.087	5	28	0.9988	3.14	0.6	10.2	5
9.4	0.685	0.11	2.7	0.077	6	31	0.9984	3.19	0.7	10.1	6
10.6	0.28	0.39	15.5	0.069	6	23	1.0026	3.12	0.66	9.2	5
9.4	0.3	0.56	2.8	0.08	6	17	0.9964	3.15	0.92	11.7	8
10.6	0.36	0.59	2.2	0.152	6	18	0.9986	3.04	1.05	9.4	5
10.6	0.36	0.6	2.2	0.152	7	18	0.9986	3.04	1.06	9.4	5
10.6	0.44	0.68	4.1	0.114	6	24	0.997	3.06	0.66	13.4	6
10.2	0.67	0.39	1.9	0.054	6	17	0.9976	3.17	0.47	10	5
10.2	0.67	0.39	1.9	0.054	6	17	0.9976	3.17	0.47	10	5
10.2	0.645	0.36	1.8	0.053	5	14	0.9982	3.17	0.42	10	6
11.6	0.32	0.55	2.8	0.081	35	67	1.0002	3.32	0.92	10.8	7
9.3	0.39	0.4	2.6	0.073	10	26	0.9984	3.34	0.75	10.2	6
9.3	0.775	0.27	2.8	0.078	24	56	0.9984	3.31	0.67	10.6	6
9.2	0.41	0.5	2.5	0.055	12	25	0.9952	3.34	0.79	13.3	7
8.9	0.4	0.51	2.6	0.052	13	27	0.995	3.32	0.9	13.4	7
8.7	0.69	0.31	3	0.086	23	81	1.0002	3.48	0.74	11.6	6
6.5	0.39	0.23	8.3	0.051	28	91	0.9952	3.44	0.55	12.1	6
10.7	0.35	0.53	2.6	0.07	5	16	0.9972	3.15	0.65	11	8
7.8	0.52	0.25	1.9	0.081	14	38	0.9984	3.43	0.65	9	6
7.2	0.34	0.32	2.5	0.09	43	113	0.9966	3.32	0.79	11.1	5
10.7	0.35	0.53	2.6	0.07	5	16	0.9972	3.15	0.65	11	8
8.7	0.69	0.31	3	0.086	23	81	1.0002	3.48	0.74	11.6	6

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	28 seconds
R Server	'Gwilym Jenkins' @ jenkins.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 28 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154359&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]28 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=154359&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154359&T=0

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	28 seconds
R Server	'Gwilym Jenkins' @ jenkins.wessa.net

Multiple Linear Regression - Estimated Regression Equation
quality[t] = -2.69963379960465 + 0.0804960029242588fixedacidity[t] -1.02204287882421volatileacidity[t] -0.557938466809617citricacid[t] + 0.00753385794363874residualsugar[t] -1.09115891348537chlorides[t] + 0.00313590447629039freesulfurdioxide[t] -0.00464981360734464totalsulfurdioxide[t] + 5.42594816828161density[t] -0.0951130998496746pH[t] + 0.507081086221357sulphates[t] + 0.308771970886793alcohol[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
quality[t] =  -2.69963379960465 +  0.0804960029242588fixedacidity[t] -1.02204287882421volatileacidity[t] -0.557938466809617citricacid[t] +  0.00753385794363874residualsugar[t] -1.09115891348537chlorides[t] +  0.00313590447629039freesulfurdioxide[t] -0.00464981360734464totalsulfurdioxide[t] +  5.42594816828161density[t] -0.0951130998496746pH[t] +  0.507081086221357sulphates[t] +  0.308771970886793alcohol[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154359&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]quality[t] =  -2.69963379960465 +  0.0804960029242588fixedacidity[t] -1.02204287882421volatileacidity[t] -0.557938466809617citricacid[t] +  0.00753385794363874residualsugar[t] -1.09115891348537chlorides[t] +  0.00313590447629039freesulfurdioxide[t] -0.00464981360734464totalsulfurdioxide[t] +  5.42594816828161density[t] -0.0951130998496746pH[t] +  0.507081086221357sulphates[t] +  0.308771970886793alcohol[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=154359&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154359&T=1

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Multiple Linear Regression - Estimated Regression Equation
quality[t] = -2.69963379960465 + 0.0804960029242588fixedacidity[t] -1.02204287882421volatileacidity[t] -0.557938466809617citricacid[t] + 0.00753385794363874residualsugar[t] -1.09115891348537chlorides[t] + 0.00313590447629039freesulfurdioxide[t] -0.00464981360734464totalsulfurdioxide[t] + 5.42594816828161density[t] -0.0951130998496746pH[t] + 0.507081086221357sulphates[t] + 0.308771970886793alcohol[t] + e[t]

Multiple Linear Regression - Ordinary Least Squares
Variable	Parameter	S.D.	T-STATH0: parameter = 0	2-tail p-value	1-tail p-value
(Intercept)	-2.69963379960465	40.912232	-0.066	0.947416	0.473708
fixedacidity	0.0804960029242588	0.047488	1.6951	0.090697	0.045349
volatileacidity	-1.02204287882421	0.213045	-4.7973	2e-06	1e-06
citricacid	-0.557938466809617	0.252391	-2.2106	0.027526	0.013763
residualsugar	0.00753385794363874	0.027685	0.2721	0.785641	0.39282
chlorides	-1.09115891348537	0.623026	-1.7514	0.080508	0.040254
freesulfurdioxide	0.00313590447629039	0.00448	0.7	0.484249	0.242125
totalsulfurdioxide	-0.00464981360734464	0.0014	-3.3223	0.00096	0.00048
density	5.42594816828161	41.777511	0.1299	0.896717	0.448359
pH	-0.0951130998496746	0.360389	-0.2639	0.791954	0.395977
sulphates	0.507081086221357	0.172576	2.9383	0.003456	0.001728
alcohol	0.308771970886793	0.043878	7.037	0	0

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Ordinary Least Squares \tabularnewline
Variable & Parameter & S.D. & T-STATH0: parameter = 0 & 2-tail p-value & 1-tail p-value \tabularnewline
(Intercept) & -2.69963379960465 & 40.912232 & -0.066 & 0.947416 & 0.473708 \tabularnewline
fixedacidity & 0.0804960029242588 & 0.047488 & 1.6951 & 0.090697 & 0.045349 \tabularnewline
volatileacidity & -1.02204287882421 & 0.213045 & -4.7973 & 2e-06 & 1e-06 \tabularnewline
citricacid & -0.557938466809617 & 0.252391 & -2.2106 & 0.027526 & 0.013763 \tabularnewline
residualsugar & 0.00753385794363874 & 0.027685 & 0.2721 & 0.785641 & 0.39282 \tabularnewline
chlorides & -1.09115891348537 & 0.623026 & -1.7514 & 0.080508 & 0.040254 \tabularnewline
freesulfurdioxide & 0.00313590447629039 & 0.00448 & 0.7 & 0.484249 & 0.242125 \tabularnewline
totalsulfurdioxide & -0.00464981360734464 & 0.0014 & -3.3223 & 0.00096 & 0.00048 \tabularnewline
density & 5.42594816828161 & 41.777511 & 0.1299 & 0.896717 & 0.448359 \tabularnewline
pH & -0.0951130998496746 & 0.360389 & -0.2639 & 0.791954 & 0.395977 \tabularnewline
sulphates & 0.507081086221357 & 0.172576 & 2.9383 & 0.003456 & 0.001728 \tabularnewline
alcohol & 0.308771970886793 & 0.043878 & 7.037 & 0 & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154359&T=2

[TABLE]
[ROW][C]Multiple Linear Regression - Ordinary Least Squares[/C][/ROW]
[ROW][C]Variable[/C][C]Parameter[/C][C]S.D.[/C][C]T-STATH0: parameter = 0[/C][C]2-tail p-value[/C][C]1-tail p-value[/C][/ROW]
[ROW][C](Intercept)[/C][C]-2.69963379960465[/C][C]40.912232[/C][C]-0.066[/C][C]0.947416[/C][C]0.473708[/C][/ROW]
[ROW][C]fixedacidity[/C][C]0.0804960029242588[/C][C]0.047488[/C][C]1.6951[/C][C]0.090697[/C][C]0.045349[/C][/ROW]
[ROW][C]volatileacidity[/C][C]-1.02204287882421[/C][C]0.213045[/C][C]-4.7973[/C][C]2e-06[/C][C]1e-06[/C][/ROW]
[ROW][C]citricacid[/C][C]-0.557938466809617[/C][C]0.252391[/C][C]-2.2106[/C][C]0.027526[/C][C]0.013763[/C][/ROW]
[ROW][C]residualsugar[/C][C]0.00753385794363874[/C][C]0.027685[/C][C]0.2721[/C][C]0.785641[/C][C]0.39282[/C][/ROW]
[ROW][C]chlorides[/C][C]-1.09115891348537[/C][C]0.623026[/C][C]-1.7514[/C][C]0.080508[/C][C]0.040254[/C][/ROW]
[ROW][C]freesulfurdioxide[/C][C]0.00313590447629039[/C][C]0.00448[/C][C]0.7[/C][C]0.484249[/C][C]0.242125[/C][/ROW]
[ROW][C]totalsulfurdioxide[/C][C]-0.00464981360734464[/C][C]0.0014[/C][C]-3.3223[/C][C]0.00096[/C][C]0.00048[/C][/ROW]
[ROW][C]density[/C][C]5.42594816828161[/C][C]41.777511[/C][C]0.1299[/C][C]0.896717[/C][C]0.448359[/C][/ROW]
[ROW][C]pH[/C][C]-0.0951130998496746[/C][C]0.360389[/C][C]-0.2639[/C][C]0.791954[/C][C]0.395977[/C][/ROW]
[ROW][C]sulphates[/C][C]0.507081086221357[/C][C]0.172576[/C][C]2.9383[/C][C]0.003456[/C][C]0.001728[/C][/ROW]
[ROW][C]alcohol[/C][C]0.308771970886793[/C][C]0.043878[/C][C]7.037[/C][C]0[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=154359&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154359&T=2

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Multiple Linear Regression - Ordinary Least Squares
Variable	Parameter	S.D.	T-STATH0: parameter = 0	2-tail p-value	1-tail p-value
(Intercept)	-2.69963379960465	40.912232	-0.066	0.947416	0.473708
fixedacidity	0.0804960029242588	0.047488	1.6951	0.090697	0.045349
volatileacidity	-1.02204287882421	0.213045	-4.7973	2e-06	1e-06
citricacid	-0.557938466809617	0.252391	-2.2106	0.027526	0.013763
residualsugar	0.00753385794363874	0.027685	0.2721	0.785641	0.39282
chlorides	-1.09115891348537	0.623026	-1.7514	0.080508	0.040254
freesulfurdioxide	0.00313590447629039	0.00448	0.7	0.484249	0.242125
totalsulfurdioxide	-0.00464981360734464	0.0014	-3.3223	0.00096	0.00048
density	5.42594816828161	41.777511	0.1299	0.896717	0.448359
pH	-0.0951130998496746	0.360389	-0.2639	0.791954	0.395977
sulphates	0.507081086221357	0.172576	2.9383	0.003456	0.001728
alcohol	0.308771970886793	0.043878	7.037	0	0

Multiple Linear Regression - Regression Statistics
Multiple R	0.593519388081978
R-squared	0.352265264029206
Adjusted R-squared	0.337664685964291
F-TEST (value)	24.126802545968
F-TEST (DF numerator)	11
F-TEST (DF denominator)	488
p-value	0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	0.642625909288742
Sum Squared Residuals	201.528412933121

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.593519388081978 \tabularnewline
R-squared & 0.352265264029206 \tabularnewline
Adjusted R-squared & 0.337664685964291 \tabularnewline
F-TEST (value) & 24.126802545968 \tabularnewline
F-TEST (DF numerator) & 11 \tabularnewline
F-TEST (DF denominator) & 488 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 0.642625909288742 \tabularnewline
Sum Squared Residuals & 201.528412933121 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154359&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.593519388081978[/C][/ROW]
[ROW][C]R-squared[/C][C]0.352265264029206[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.337664685964291[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]24.126802545968[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]11[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]488[/C][/ROW]
[ROW][C]p-value[/C][C]0[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]0.642625909288742[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]201.528412933121[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=154359&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154359&T=3

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Multiple Linear Regression - Regression Statistics
Multiple R	0.593519388081978
R-squared	0.352265264029206
Adjusted R-squared	0.337664685964291
F-TEST (value)	24.126802545968
F-TEST (DF numerator)	11
F-TEST (DF denominator)	488
p-value	0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	0.642625909288742
Sum Squared Residuals	201.528412933121

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	InterpolationForecast	ResidualsPrediction Error
1	5	5.25498018257426	-0.254980182574256
2	5	5.18335551513157	-0.183355515131565
3	5	5.29722442120452	-0.297224421204518
4	6	5.74471407801968	0.25528592198032
5	5	5.25498018257426	-0.254980182574261
6	5	5.27457259815486	-0.274572598154864
7	5	5.22730171155379	-0.227301711553787
8	7	5.51142939112709	1.48857060887291
9	7	5.51560605592649	1.48439394407351
10	5	5.48287333471363	-0.482873334713629
11	5	5.06104541728524	-0.0610454172852416
12	5	5.48287333471363	-0.482873334713628
13	5	5.18840398736617	-0.188403987366167
14	5	5.62667074110239	-0.626670741102386
15	5	5.01284180199337	-0.0128418019933702
16	5	5.0218803346148	-0.021880334614797
17	7	5.6476358655723	1.3523641344277
18	5	5.25828954240564	-0.25828954240564
19	4	5.19452309346482	-1.19452309346482
20	6	5.2674124637805	0.7325875362195
21	6	5.52297607802911	0.47702392197089
22	5	5.41649422811869	-0.416494228118689
23	5	5.63611530661604	-0.636115306616036
24	5	5.34305024606356	-0.343050246063558
25	6	5.57095068839656	0.42904931160344
26	5	5.40982645125729	-0.409826451257291
27	5	5.57272707174191	-0.572727071741909
28	5	5.63611530661604	-0.636115306616036
29	5	5.21648236130713	-0.216482361307131
30	6	5.5553759023823	0.444624097617699
31	5	5.18069955415863	-0.180699554158634
32	6	5.59732673210367	0.402673267896326
33	5	5.14709388556783	-0.147093885567827
34	6	5.17110789307484	0.828892106925163
35	5	5.16258577495578	-0.162585774955779
36	6	5.48666961523455	0.513330384765452
37	6	5.82688244606558	0.173117553934419
38	7	5.71948885495713	1.28051114504287
39	4	4.64115769444474	-0.641157694444738
40	5	5.58427840605316	-0.584278406053156
41	5	5.58427840605316	-0.584278406053156
42	4	5.21544296840559	-1.21544296840559
43	6	5.71076139056152	0.289238609438483
44	5	5.90121151936173	-0.901211519361726
45	5	5.34669795948174	-0.346697959481744
46	4	6.08331666638142	-2.08331666638142
47	5	4.46717938342855	0.532820616571453
48	5	5.4959528618475	-0.495952861847497
49	5	5.38846603664718	-0.388466036647178
50	5	4.96894615792318	0.0310538420768164
51	5	5.35332721860626	-0.353327218606263
52	6	5.47509160568773	0.524908394312267
53	6	5.49972758808198	0.500272411918015
54	5	5.17009503927023	-0.17009503927023
55	6	5.54127702290376	0.458722977096239
56	5	5.36874863833388	-0.368748638333879
57	5	5.6941630698145	-0.694163069814495
58	5	5.15543066938506	-0.155430669385061
59	5	5.43446395293341	-0.434463952933408
60	6	5.32537079575572	0.674629204244278
61	5	5.37804453445588	-0.378044534455878
62	5	4.70648160662765	0.293518393372348
63	7	5.41463382408722	1.58536617591278
64	5	5.20116851873481	-0.201168518734808
65	5	5.65801785311165	-0.658017853111646
66	5	5.65801785311165	-0.658017853111646
67	5	5.43111842847133	-0.431118428471327
68	5	5.62634583573655	-0.626345835736549
69	5	5.92226478101408	-0.922264781014082
70	6	5.87769095660948	0.122309043390521
71	6	5.38396774213162	0.616032257868382
72	5	4.90010495237249	0.0998950476275105
73	5	4.90094541140196	0.0990545885980365
74	4	5.09981343719322	-1.09981343719322
75	5	5.55628653329786	-0.556286533297864
76	5	5.63907118294834	-0.639071182948335
77	5	5.63907118294834	-0.639071182948335
78	6	5.50990086586231	0.490099134137691
79	5	5.05703443858266	-0.0570344385826579
80	4	5.16142207698528	-1.16142207698528
81	5	5.30785020262086	-0.307850202620856
82	5	5.02932565677921	-0.0293256567792091
83	5	4.95938121571356	0.0406187842864423
84	5	5.03629378725987	-0.0362937872598658
85	6	5.59653358559096	0.40346641440904
86	5	5.51543636476995	-0.515436364769951
87	6	5.83796309351165	0.162036906488355
88	5	5.47887115854746	-0.478871158547461
89	5	5.49667912606578	-0.496679126065779
90	5	5.16037934327007	-0.160379343270069
91	5	4.97496213638683	0.0250378636131711
92	6	5.83796309351165	0.162036906488355
93	5	5.82828586648162	-0.828285866481618
94	5	5.47887115854746	-0.478871158547461
95	4	4.85396589776099	-0.853965897760986
96	6	5.79536629998231	0.204633700017687
97	5	5.55174332867224	-0.551743328672238
98	5	5.31604837278671	-0.316048372786712
99	5	5.25617525448152	-0.256175254481518
100	6	5.27499429280394	0.725005707196056
101	6	5.44998788992372	0.550012110076285
102	6	5.68917211757566	0.310827882424336
103	6	5.27499429280394	0.725005707196056
104	5	5.10359146759339	-0.103591467593394
105	5	5.26708397567208	-0.267083975672083
106	5	5.10359146759339	-0.103591467593394
107	5	5.02285008591647	-0.022850085916468
108	5	5.0010393413894	-0.0010393413893975
109	6	5.37762359776054	0.622376402239459
110	5	4.47178543078731	0.528214569212695
111	5	5.47697583380126	-0.476975833801265
112	5	5.21733111841044	-0.217331118410438
113	5	5.22655970501218	-0.226559705012178
114	6	5.77467722917965	0.225322770820351
115	5	5.47697583380126	-0.476975833801265
116	6	5.82316855804317	0.176831441956826
117	6	5.52777144337883	0.472228556621174
118	6	5.35142387708561	0.648576122914394
119	6	5.86440923065468	0.135590769345325
120	6	4.87741852025864	1.12258147974136
121	5	4.33973387786621	0.660266122133791
122	6	5.86440923065468	0.135590769345325
123	5	5.25116093430398	-0.251160934303975
124	5	5.31520391230504	-0.315203912305039
125	5	5.09505980422066	-0.0950598042206611
126	5	5.26415997047134	-0.264159970471343
127	5	5.16389975951163	-0.163899759511626
128	5	5.14949044423937	-0.149490444239369
129	7	5.91836813861818	1.08163186138182
130	5	5.45252857062496	-0.452528570624961
131	5	4.56532854652464	0.43467145347536
132	5	6.12674867904051	-1.12674867904051
133	5	6.12674867904051	-1.12674867904051
134	6	5.58987689231149	0.410123107688514
135	6	5.10947711697804	0.890522883021956
136	5	5.31064766351008	-0.310647663510076
137	5	5.28520411590891	-0.285204115908912
138	5	5.25813672171644	-0.258136721716445
139	5	5.03188852315846	-0.0318885231584627
140	5	5.02440863649314	-0.0244086364931425
141	5	5.31064766351008	-0.310647663510076
142	5	5.28520411590891	-0.285204115908912
143	6	6.87594064577388	-0.875940645773884
144	5	5.50133633978194	-0.501336339781935
145	6	6.87594064577388	-0.875940645773884
146	5	4.61529292196353	0.384707078036474
147	5	5.01876108293084	-0.018761082930835
148	5	5.03301451890408	-0.0330145189040803
149	6	5.65590843479495	0.344091565205054
150	6	5.69271718281162	0.307282817188375
151	6	5.72035206968055	0.279647930319449
152	4	5.17083524182189	-1.17083524182189
153	5	5.27469948878599	-0.274699488785985
154	5	5.27469948878599	-0.274699488785985
155	5	5.3474609795462	-0.347460979546198
156	5	5.34281291890155	-0.342812918901554
157	5	5.3474609795462	-0.347460979546198
158	5	5.34281291890155	-0.342812918901554
159	5	5.25240751854352	-0.252407518543517
160	6	4.94650410930533	1.05349589069467
161	5	5.11779159666303	-0.117791596663026
162	4	5.56624386582528	-1.56624386582528
163	6	5.66465364363217	0.335346356367834
164	5	4.91320462074179	0.0867953792582085
165	5	4.91094356415013	0.0890564358498747
166	5	4.86684994778195	0.133150052218052
167	5	5.1452779421423	-0.145277942142303
168	4	5.20452372912732	-1.20452372912732
169	6	5.47393427289856	0.526065727101439
170	5	5.28515291189063	-0.285152911890633
171	4	5.00899454953446	-1.00899454953446
172	6	5.53861358211251	0.461386417887489
173	6	5.53861358211251	0.461386417887489
174	6	5.97397222700549	0.026027772994512
175	5	5.4291486895191	-0.429148689519099
176	5	5.48613051220268	-0.486130512202681
177	5	5.4291486895191	-0.429148689519099
178	6	5.53075690866197	0.469243091338034
179	5	5.24099507162114	-0.24099507162114
180	5	5.42644247454296	-0.426442474542958
181	5	5.42644247454296	-0.426442474542958
182	5	4.90385041606716	0.0961495839328399
183	5	5.13230416212834	-0.132304162128343
184	5	5.01370284793889	-0.0137028479388888
185	6	4.99432589673085	1.00567410326915
186	5	5.32615615053678	-0.326156150536783
187	5	5.100261760675	-0.100261760675003
188	5	5.31316034911414	-0.313160349114144
189	5	4.86312061395672	0.136879386043281
190	5	4.8819713547909	0.118028645209099
191	5	4.98984751910268	0.0101524808973154
192	6	5.482124359709	0.517875640291002
193	5	4.86161122292246	0.138388777077539
194	5	5.4321304185758	-0.432130418575804
195	5	5.4321304185758	-0.432130418575804
196	5	4.86846393401713	0.131536065982868
197	5	5.38460068276785	-0.384600682767846
198	6	6.16904293111294	-0.169042931112936
199	7	5.89439688779991	1.10560311220009
200	4	5.35296420701141	-1.35296420701141
201	7	6.0492057792081	0.950794220791904
202	5	5.23793300785223	-0.237933007852229
203	5	5.44274969294438	-0.442749692944382
204	5	5.23087162414058	-0.230871624140577
205	6	5.22235057830349	0.777649421696511
206	7	6.26870440372228	0.731295596277717
207	7	6.26870440372228	0.731295596277717
208	5	4.86754758942365	0.132452410576346
209	5	5.19168951588766	-0.191689515887656
210	7	6.23471741294201	0.76528258705799
211	6	6.45899663202722	-0.458996632027219
212	6	5.204959782345	0.795040217655004
213	6	5.92371704517441	0.0762829548255859
214	5	5.3959476999191	-0.3959476999191
215	6	5.38047690124872	0.619523098751281
216	5	5.30692377046041	-0.306923770460406
217	5	5.78262335955393	-0.782623359553926
218	5	5.04770196760223	-0.0477019676022317
219	5	5.40452548854639	-0.404525488546387
220	5	4.86984749009426	0.130152509905737
221	6	5.39583978345557	0.604160216544432
222	5	5.12404152451817	-0.124041524518167
223	5	5.43273192883368	-0.432731928833681
224	6	5.50923109013671	0.490768909863285
225	4	5.43348329650065	-1.43348329650065
226	6	5.6998986164941	0.300101383505904
227	6	5.35719297879149	0.642807021208509
228	5	5.39265563712741	-0.392655637127413
229	6	5.6998986164941	0.300101383505904
230	5	5.70515913577108	-0.705159135771084
231	7	5.8569275206075	1.1430724793925
232	6	5.66631655060143	0.333683449398568
233	6	5.6210724574157	0.378927542584298
234	5	5.70515913577108	-0.705159135771084
235	6	4.83541013074678	1.16458986925322
236	6	5.17256952709537	0.827430472904627
237	6	5.17256952709537	0.827430472904627
238	6	5.21747936895931	0.782520631040687
239	6	5.17256952709537	0.827430472904627
240	6	4.83541013074678	1.16458986925322
241	5	5.16374134090496	-0.163741340904958
242	6	6.23592525063946	-0.235925250639465
243	6	5.13867707692336	0.861322923076635
244	7	6.3030578951971	0.696942104802896
245	7	6.3030578951971	0.696942104802896
246	6	5.66572492325174	0.334275076748265
247	5	5.16774440242729	-0.167744402427288
248	5	5.08745720371136	-0.0874572037113583
249	6	5.47976221704731	0.520237782952692
250	6	5.66572492325174	0.334275076748265
251	6	6.01340693530032	-0.0134069353003225
252	6	5.57607041660087	0.423929583399133
253	5	6.03923243956753	-1.03923243956753
254	5	4.76189704396662	0.23810295603338
255	6	5.57607041660087	0.423929583399133
256	5	4.93674091666964	0.0632590833303561
257	5	5.65699082685899	-0.656990826858992
258	5	5.0896323693816	-0.0896323693815988
259	5	4.89874082303558	0.101259176964425
260	7	6.09579982865102	0.904200171348979
261	5	5.5405384159635	-0.5405384159635
262	4	4.78168069509845	-0.781680695098454
263	5	5.66314183894519	-0.663141838945191
264	5	5.50885440468831	-0.508854404688306
265	5	6.23844627326153	-1.23844627326153
266	7	6.2215615356405	0.778438464359498
267	4	5.25717307399452	-1.25717307399452
268	8	6.61996506342609	1.38003493657391
269	6	5.54838404077838	0.451615959221625
270	6	6.30207908857006	-0.302079088570059
271	6	5.81301209409707	0.186987905902926
272	6	6.30207908857006	-0.302079088570059
273	5	5.8100253705574	-0.810025370557401
274	5	5.2477370492123	-0.2477370492123
275	5	5.13639418762699	-0.13639418762699
276	6	5.81301209409707	0.186987905902926
277	6	5.54838404077838	0.451615959221625
278	6	6.30207908857006	-0.302079088570059
279	8	6.88718693890635	1.11281306109365
280	7	5.92164041788137	1.07835958211863
281	6	5.99589992316292	0.00410007683708063
282	7	5.57587871007934	1.42412128992066
283	5	5.24389962608226	-0.243899626082259
284	7	5.92164041788137	1.07835958211863
285	5	5.6376753090274	-0.637675309027401
286	5	5.6376753090274	-0.637675309027401
287	6	5.98070534357982	0.0192946564201828
288	6	5.81785197051566	0.18214802948434
289	7	5.97774183806298	1.02225816193702
290	5	5.51668895829705	-0.51668895829705
291	7	5.97774183806298	1.02225816193702
292	5	5.99233589636885	-0.99233589636885
293	6	5.82268799600977	0.177312003990227
294	6	5.70572339977854	0.294276600221457
295	6	5.94926906464597	0.0507309353540265
296	5	5.62562592415375	-0.625625924153755
297	5	5.21629208506324	-0.216292085063239
298	5	5.41266424719917	-0.412664247199172
299	5	5.46458293152908	-0.464582931529075
300	5	5.32947559202704	-0.32947559202704
301	6	5.80131484499825	0.198685155001751
302	6	6.17956248646953	-0.179562486469533
303	5	5.5492913722567	-0.549291372256701
304	5	5.1604158057364	-0.160415805736395
305	5	4.70152109176525	0.298478908234749
306	6	5.47151083788815	0.528489162111848
307	5	5.05194840166276	-0.0519484016627566
308	6	5.58249154872647	0.417508451273535
309	6	5.56103529650092	0.438964703499084
310	6	5.50784817050012	0.492151829499878
311	6	5.47151083788815	0.528489162111848
312	6	5.02551393017078	0.974486069829216
313	6	5.2581765329747	0.741823467025295
314	5	5.0211780913639	-0.0211780913639015
315	5	5.86326263429738	-0.863262634297383
316	6	5.88886916525022	0.11113083474978
317	5	5.53312466205122	-0.533124662051223
318	6	5.54207658138721	0.457923418612787
319	7	5.93249358896085	1.06750641103915
320	6	5.54207658138721	0.457923418612787
321	7	5.93249358896085	1.06750641103915
322	5	5.30764714178637	-0.307647141786374
323	5	5.4226043367205	-0.422604336720499
324	6	5.38218807569728	0.617811924302724
325	6	5.63073153465955	0.369268465340454
326	6	5.63073153465955	0.369268465340454
327	7	6.22341790653484	0.776582093465157
328	5	6.34806750411712	-1.34806750411712
329	6	6.06972996148757	-0.0697299614875733
330	5	5.73555206088024	-0.735552060880243
331	6	6.42805697496263	-0.42805697496263
332	6	6.42805697496263	-0.42805697496263
333	6	4.96450792286578	1.03549207713422
334	5	5.87201465217113	-0.872014652171125
335	7	6.15278554595857	0.84721445404143
336	7	6.37555850913247	0.624441490867529
337	6	6.52193310394441	-0.52193310394441
338	5	5.66716994353816	-0.667169943538157
339	6	6.19948758194439	-0.199487581944387
340	7	6.39386079551792	0.60613920448208
341	6	6.10398446429995	-0.103984464299948
342	6	6.37368060166453	-0.373680601664534
343	6	5.86405142042136	0.135948579578637
344	6	5.86405142042136	0.135948579578637
345	6	6.02870355342273	-0.0287035534227268
346	5	5.47716816283681	-0.477168162836809
347	7	6.13473470494869	0.865265295051305
348	6	6.71474261511553	-0.714742615115535
349	6	5.75793793655149	0.242062063448508
350	6	5.49464543143391	0.505354568566085
351	6	5.82289192264486	0.177108077355144
352	6	5.47618985153176	0.523810148468238
353	5	5.43971403134027	-0.439714031340269
354	5	6.56166500439808	-1.56166500439808
355	6	5.69454977017807	0.305450229821926
356	6	6.23054566768038	-0.230545667680383
357	5	6.24656008634396	-1.24656008634396
358	7	6.24096029427678	0.759039705723218
359	7	6.04797210332055	0.952027896679446
360	6	5.8229289315695	0.177071068430503
361	5	5.05628891215407	-0.0562889121540746
362	6	5.73279989841666	0.267200101583336
363	5	5.58748547621314	-0.587485476213143
364	5	6.09727244436379	-1.09727244436379
365	7	5.71748556485685	1.28251443514315
366	6	6.44984498424049	-0.449844984240487
367	7	5.71748556485685	1.28251443514315
368	5	5.32329134685186	-0.323291346851856
369	5	5.38714727320901	-0.387147273209012
370	7	6.73705686837893	0.262943131621073
371	5	5.35336560049374	-0.353365600493736
372	6	5.55676156801859	0.443238431981409
373	6	6.17960701330301	-0.179607013303009
374	5	5.08869253534475	-0.088692535344753
375	6	6.2812881617115	-0.281288161711504
376	7	6.32030703914454	0.679692960855461
377	6	6.34257276191458	-0.342572761914578
378	7	6.73705686837893	0.262943131621073
379	6	6.80122505961841	-0.801225059618409
380	6	5.82917035871274	0.170829641287257
381	6	5.71979175260126	0.280208247398743
382	6	6.01796654770873	-0.0179665477087315
383	6	5.71979175260126	0.280208247398743
384	6	5.71979175260126	0.280208247398743
385	5	5.29039853479304	-0.290398534793039
386	6	5.46420820609138	0.535791793908616
387	6	5.30649368080847	0.693506319191526
388	6	5.33034079511805	0.669659204881954
389	6	5.36235239528633	0.63764760471367
390	7	5.80365474611043	1.19634525388957
391	8	5.88947619459251	2.11052380540749
392	6	6.01796654770873	-0.0179665477087315
393	5	5.52488901013861	-0.52488901013861
394	5	4.64118567873925	0.358814321260755
395	5	5.67994107741961	-0.679941077419607
396	7	6.70915190416846	0.290848095831539
397	5	5.05058587218885	-0.0505858721888481
398	6	5.8745360954688	0.125463904531205
399	6	5.8745360954688	0.125463904531205
400	5	5.16886950670578	-0.16886950670578
401	5	5.05058587218885	-0.0505858721888481
402	6	5.97994621964956	0.0200537803504359
403	6	5.86190643499913	0.138093565000875
404	6	5.78436776684894	0.215632233151055
405	5	5.26799340606441	-0.267993406064406
406	6	5.88351353344889	0.116486466551111
407	6	5.99722949043057	0.00277050956943443
408	7	6.09425886641173	0.905741133588265
409	6	6.19919734047508	-0.199197340475078
410	4	5.75304160225854	-1.75304160225854
411	6	5.35398034308889	0.64601965691111
412	5	5.36304711077226	-0.363047110772258
413	5	4.9182088410853	0.0817911589146957
414	7	6.40362604675379	0.596373953246212
415	5	5.06973063082281	-0.0697306308228087
416	5	5.04586648701347	-0.0458664870134697
417	6	6.17414482813709	-0.17414482813709
418	5	5.20955301753471	-0.209553017534712
419	6	6.10955773796284	-0.109557737962837
420	5	5.33741502583782	-0.337415025837815
421	7	6.14026477803892	0.859735221961084
422	7	5.93345919073683	1.06654080926317
423	5	5.22995111016899	-0.229951110168992
424	7	6.45634684959367	0.543653150406331
425	5	5.22995111016899	-0.229951110168992
426	7	5.93345919073683	1.06654080926317
427	6	5.7240482099313	0.275951790068701
428	6	5.61177142982576	0.388228570174244
429	5	5.4211120791978	-0.421112079197799
430	6	5.56572726538879	0.43427273461121
431	7	6.45634684959367	0.543653150406331
432	5	5.09301866923841	-0.0930186692384117
433	6	6.75309185290879	-0.75309185290879
434	5	5.70288488129791	-0.702884881297915
435	6	5.80301732842504	0.196982671574965
436	5	5.70288488129791	-0.702884881297915
437	6	5.39918805425027	0.600811945749732
438	6	6.1050317463992	-0.105031746399196
439	6	5.80301732842504	0.196982671574965
440	5	5.1450929529146	-0.145092952914602
441	8	6.00478924014025	1.99521075985975
442	6	6.28752618722659	-0.287526187226586
443	7	6.13539283445491	0.864607165545087
444	7	6.26458097917844	0.735419020821563
445	7	6.31905161487361	0.680948385126393
446	6	5.57607246067754	0.423927539322462
447	5	6.01825954734017	-1.01825954734017
448	5	6.14392402782838	-1.14392402782838
449	6	5.66768095668006	0.332319043319939
450	6	6.05459471367394	-0.0545947136739405
451	6	6.05459471367394	-0.0545947136739405
452	6	5.24374814996248	0.756251850037522
453	6	5.56208673206965	0.43791326793035
454	7	6.23985067410877	0.760149325891226
455	5	5.91705834424485	-0.917058344244845
456	8	6.67889424721087	1.32110575278913
457	5	5.59550974986331	-0.595509749863309
458	5	5.34886169627836	-0.348861696278356
459	7	6.23985067410877	0.760149325891226
460	3	5.21089741903226	-2.21089741903225
461	6	6.06778136161045	-0.0677813616104491
462	5	5.35931791290108	-0.359317912901081
463	5	6.44230884664065	-1.44230884664065
464	5	4.44099904735725	0.559000952642749
465	6	5.80405231696191	0.195947683038088
466	5	5.96587896931103	-0.965878969311031
467	6	6.1842107992586	-0.184210799258602
468	6	6.97925318150287	-0.979253181502869
469	6	5.58342584320188	0.416574156798116
470	5	5.38942255170051	-0.389422551700511
471	5	6.11969328152701	-1.11969328152701
472	6	6.03853165282528	-0.0385316528252824
473	6	6.06344026007549	-0.0634402600754855
474	5	6.10516800853445	-1.10516800853445
475	6	5.88571020570097	0.114289794299027
476	5	5.62586649394183	-0.625866493941834
477	5	5.85763352521176	-0.857633525211764
478	6	6.52139413277307	-0.521394132773068
479	5	5.62586649394183	-0.625866493941834
480	6	5.6939589386827	0.306041061317299
481	5	5.92188878130343	-0.921888781303431
482	8	6.49749605656742	1.50250394343258
483	5	5.80644149832115	-0.80644149832115
484	5	5.80906882899156	-0.809068828991558
485	6	6.72908557401824	-0.729085574018236
486	5	5.55168622919863	-0.551686229198633
487	5	5.55168622919863	-0.551686229198633
488	6	5.58302827922829	0.416971720771708
489	7	6.24363978289102	0.756360217108985
490	6	5.90697805449239	0.0930219455076139
491	6	5.57227847275184	0.427721527248158
492	7	6.81261616621022	0.187383833789776
493	7	6.87844473818588	0.121555261814121
494	6	5.79979835929665	0.200201640703351
495	6	6.05597185145051	-0.0559718514505077
496	8	6.22998408274332	1.77001591725668
497	6	5.25000747595613	0.749992524043869
498	5	5.80363521873346	-0.803635218733462
499	8	6.22998408274332	1.77001591725668
500	6	5.79979835929665	0.200201640703351

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 5 & 5.25498018257426 & -0.254980182574256 \tabularnewline
2 & 5 & 5.18335551513157 & -0.183355515131565 \tabularnewline
3 & 5 & 5.29722442120452 & -0.297224421204518 \tabularnewline
4 & 6 & 5.74471407801968 & 0.25528592198032 \tabularnewline
5 & 5 & 5.25498018257426 & -0.254980182574261 \tabularnewline
6 & 5 & 5.27457259815486 & -0.274572598154864 \tabularnewline
7 & 5 & 5.22730171155379 & -0.227301711553787 \tabularnewline
8 & 7 & 5.51142939112709 & 1.48857060887291 \tabularnewline
9 & 7 & 5.51560605592649 & 1.48439394407351 \tabularnewline
10 & 5 & 5.48287333471363 & -0.482873334713629 \tabularnewline
11 & 5 & 5.06104541728524 & -0.0610454172852416 \tabularnewline
12 & 5 & 5.48287333471363 & -0.482873334713628 \tabularnewline
13 & 5 & 5.18840398736617 & -0.188403987366167 \tabularnewline
14 & 5 & 5.62667074110239 & -0.626670741102386 \tabularnewline
15 & 5 & 5.01284180199337 & -0.0128418019933702 \tabularnewline
16 & 5 & 5.0218803346148 & -0.021880334614797 \tabularnewline
17 & 7 & 5.6476358655723 & 1.3523641344277 \tabularnewline
18 & 5 & 5.25828954240564 & -0.25828954240564 \tabularnewline
19 & 4 & 5.19452309346482 & -1.19452309346482 \tabularnewline
20 & 6 & 5.2674124637805 & 0.7325875362195 \tabularnewline
21 & 6 & 5.52297607802911 & 0.47702392197089 \tabularnewline
22 & 5 & 5.41649422811869 & -0.416494228118689 \tabularnewline
23 & 5 & 5.63611530661604 & -0.636115306616036 \tabularnewline
24 & 5 & 5.34305024606356 & -0.343050246063558 \tabularnewline
25 & 6 & 5.57095068839656 & 0.42904931160344 \tabularnewline
26 & 5 & 5.40982645125729 & -0.409826451257291 \tabularnewline
27 & 5 & 5.57272707174191 & -0.572727071741909 \tabularnewline
28 & 5 & 5.63611530661604 & -0.636115306616036 \tabularnewline
29 & 5 & 5.21648236130713 & -0.216482361307131 \tabularnewline
30 & 6 & 5.5553759023823 & 0.444624097617699 \tabularnewline
31 & 5 & 5.18069955415863 & -0.180699554158634 \tabularnewline
32 & 6 & 5.59732673210367 & 0.402673267896326 \tabularnewline
33 & 5 & 5.14709388556783 & -0.147093885567827 \tabularnewline
34 & 6 & 5.17110789307484 & 0.828892106925163 \tabularnewline
35 & 5 & 5.16258577495578 & -0.162585774955779 \tabularnewline
36 & 6 & 5.48666961523455 & 0.513330384765452 \tabularnewline
37 & 6 & 5.82688244606558 & 0.173117553934419 \tabularnewline
38 & 7 & 5.71948885495713 & 1.28051114504287 \tabularnewline
39 & 4 & 4.64115769444474 & -0.641157694444738 \tabularnewline
40 & 5 & 5.58427840605316 & -0.584278406053156 \tabularnewline
41 & 5 & 5.58427840605316 & -0.584278406053156 \tabularnewline
42 & 4 & 5.21544296840559 & -1.21544296840559 \tabularnewline
43 & 6 & 5.71076139056152 & 0.289238609438483 \tabularnewline
44 & 5 & 5.90121151936173 & -0.901211519361726 \tabularnewline
45 & 5 & 5.34669795948174 & -0.346697959481744 \tabularnewline
46 & 4 & 6.08331666638142 & -2.08331666638142 \tabularnewline
47 & 5 & 4.46717938342855 & 0.532820616571453 \tabularnewline
48 & 5 & 5.4959528618475 & -0.495952861847497 \tabularnewline
49 & 5 & 5.38846603664718 & -0.388466036647178 \tabularnewline
50 & 5 & 4.96894615792318 & 0.0310538420768164 \tabularnewline
51 & 5 & 5.35332721860626 & -0.353327218606263 \tabularnewline
52 & 6 & 5.47509160568773 & 0.524908394312267 \tabularnewline
53 & 6 & 5.49972758808198 & 0.500272411918015 \tabularnewline
54 & 5 & 5.17009503927023 & -0.17009503927023 \tabularnewline
55 & 6 & 5.54127702290376 & 0.458722977096239 \tabularnewline
56 & 5 & 5.36874863833388 & -0.368748638333879 \tabularnewline
57 & 5 & 5.6941630698145 & -0.694163069814495 \tabularnewline
58 & 5 & 5.15543066938506 & -0.155430669385061 \tabularnewline
59 & 5 & 5.43446395293341 & -0.434463952933408 \tabularnewline
60 & 6 & 5.32537079575572 & 0.674629204244278 \tabularnewline
61 & 5 & 5.37804453445588 & -0.378044534455878 \tabularnewline
62 & 5 & 4.70648160662765 & 0.293518393372348 \tabularnewline
63 & 7 & 5.41463382408722 & 1.58536617591278 \tabularnewline
64 & 5 & 5.20116851873481 & -0.201168518734808 \tabularnewline
65 & 5 & 5.65801785311165 & -0.658017853111646 \tabularnewline
66 & 5 & 5.65801785311165 & -0.658017853111646 \tabularnewline
67 & 5 & 5.43111842847133 & -0.431118428471327 \tabularnewline
68 & 5 & 5.62634583573655 & -0.626345835736549 \tabularnewline
69 & 5 & 5.92226478101408 & -0.922264781014082 \tabularnewline
70 & 6 & 5.87769095660948 & 0.122309043390521 \tabularnewline
71 & 6 & 5.38396774213162 & 0.616032257868382 \tabularnewline
72 & 5 & 4.90010495237249 & 0.0998950476275105 \tabularnewline
73 & 5 & 4.90094541140196 & 0.0990545885980365 \tabularnewline
74 & 4 & 5.09981343719322 & -1.09981343719322 \tabularnewline
75 & 5 & 5.55628653329786 & -0.556286533297864 \tabularnewline
76 & 5 & 5.63907118294834 & -0.639071182948335 \tabularnewline
77 & 5 & 5.63907118294834 & -0.639071182948335 \tabularnewline
78 & 6 & 5.50990086586231 & 0.490099134137691 \tabularnewline
79 & 5 & 5.05703443858266 & -0.0570344385826579 \tabularnewline
80 & 4 & 5.16142207698528 & -1.16142207698528 \tabularnewline
81 & 5 & 5.30785020262086 & -0.307850202620856 \tabularnewline
82 & 5 & 5.02932565677921 & -0.0293256567792091 \tabularnewline
83 & 5 & 4.95938121571356 & 0.0406187842864423 \tabularnewline
84 & 5 & 5.03629378725987 & -0.0362937872598658 \tabularnewline
85 & 6 & 5.59653358559096 & 0.40346641440904 \tabularnewline
86 & 5 & 5.51543636476995 & -0.515436364769951 \tabularnewline
87 & 6 & 5.83796309351165 & 0.162036906488355 \tabularnewline
88 & 5 & 5.47887115854746 & -0.478871158547461 \tabularnewline
89 & 5 & 5.49667912606578 & -0.496679126065779 \tabularnewline
90 & 5 & 5.16037934327007 & -0.160379343270069 \tabularnewline
91 & 5 & 4.97496213638683 & 0.0250378636131711 \tabularnewline
92 & 6 & 5.83796309351165 & 0.162036906488355 \tabularnewline
93 & 5 & 5.82828586648162 & -0.828285866481618 \tabularnewline
94 & 5 & 5.47887115854746 & -0.478871158547461 \tabularnewline
95 & 4 & 4.85396589776099 & -0.853965897760986 \tabularnewline
96 & 6 & 5.79536629998231 & 0.204633700017687 \tabularnewline
97 & 5 & 5.55174332867224 & -0.551743328672238 \tabularnewline
98 & 5 & 5.31604837278671 & -0.316048372786712 \tabularnewline
99 & 5 & 5.25617525448152 & -0.256175254481518 \tabularnewline
100 & 6 & 5.27499429280394 & 0.725005707196056 \tabularnewline
101 & 6 & 5.44998788992372 & 0.550012110076285 \tabularnewline
102 & 6 & 5.68917211757566 & 0.310827882424336 \tabularnewline
103 & 6 & 5.27499429280394 & 0.725005707196056 \tabularnewline
104 & 5 & 5.10359146759339 & -0.103591467593394 \tabularnewline
105 & 5 & 5.26708397567208 & -0.267083975672083 \tabularnewline
106 & 5 & 5.10359146759339 & -0.103591467593394 \tabularnewline
107 & 5 & 5.02285008591647 & -0.022850085916468 \tabularnewline
108 & 5 & 5.0010393413894 & -0.0010393413893975 \tabularnewline
109 & 6 & 5.37762359776054 & 0.622376402239459 \tabularnewline
110 & 5 & 4.47178543078731 & 0.528214569212695 \tabularnewline
111 & 5 & 5.47697583380126 & -0.476975833801265 \tabularnewline
112 & 5 & 5.21733111841044 & -0.217331118410438 \tabularnewline
113 & 5 & 5.22655970501218 & -0.226559705012178 \tabularnewline
114 & 6 & 5.77467722917965 & 0.225322770820351 \tabularnewline
115 & 5 & 5.47697583380126 & -0.476975833801265 \tabularnewline
116 & 6 & 5.82316855804317 & 0.176831441956826 \tabularnewline
117 & 6 & 5.52777144337883 & 0.472228556621174 \tabularnewline
118 & 6 & 5.35142387708561 & 0.648576122914394 \tabularnewline
119 & 6 & 5.86440923065468 & 0.135590769345325 \tabularnewline
120 & 6 & 4.87741852025864 & 1.12258147974136 \tabularnewline
121 & 5 & 4.33973387786621 & 0.660266122133791 \tabularnewline
122 & 6 & 5.86440923065468 & 0.135590769345325 \tabularnewline
123 & 5 & 5.25116093430398 & -0.251160934303975 \tabularnewline
124 & 5 & 5.31520391230504 & -0.315203912305039 \tabularnewline
125 & 5 & 5.09505980422066 & -0.0950598042206611 \tabularnewline
126 & 5 & 5.26415997047134 & -0.264159970471343 \tabularnewline
127 & 5 & 5.16389975951163 & -0.163899759511626 \tabularnewline
128 & 5 & 5.14949044423937 & -0.149490444239369 \tabularnewline
129 & 7 & 5.91836813861818 & 1.08163186138182 \tabularnewline
130 & 5 & 5.45252857062496 & -0.452528570624961 \tabularnewline
131 & 5 & 4.56532854652464 & 0.43467145347536 \tabularnewline
132 & 5 & 6.12674867904051 & -1.12674867904051 \tabularnewline
133 & 5 & 6.12674867904051 & -1.12674867904051 \tabularnewline
134 & 6 & 5.58987689231149 & 0.410123107688514 \tabularnewline
135 & 6 & 5.10947711697804 & 0.890522883021956 \tabularnewline
136 & 5 & 5.31064766351008 & -0.310647663510076 \tabularnewline
137 & 5 & 5.28520411590891 & -0.285204115908912 \tabularnewline
138 & 5 & 5.25813672171644 & -0.258136721716445 \tabularnewline
139 & 5 & 5.03188852315846 & -0.0318885231584627 \tabularnewline
140 & 5 & 5.02440863649314 & -0.0244086364931425 \tabularnewline
141 & 5 & 5.31064766351008 & -0.310647663510076 \tabularnewline
142 & 5 & 5.28520411590891 & -0.285204115908912 \tabularnewline
143 & 6 & 6.87594064577388 & -0.875940645773884 \tabularnewline
144 & 5 & 5.50133633978194 & -0.501336339781935 \tabularnewline
145 & 6 & 6.87594064577388 & -0.875940645773884 \tabularnewline
146 & 5 & 4.61529292196353 & 0.384707078036474 \tabularnewline
147 & 5 & 5.01876108293084 & -0.018761082930835 \tabularnewline
148 & 5 & 5.03301451890408 & -0.0330145189040803 \tabularnewline
149 & 6 & 5.65590843479495 & 0.344091565205054 \tabularnewline
150 & 6 & 5.69271718281162 & 0.307282817188375 \tabularnewline
151 & 6 & 5.72035206968055 & 0.279647930319449 \tabularnewline
152 & 4 & 5.17083524182189 & -1.17083524182189 \tabularnewline
153 & 5 & 5.27469948878599 & -0.274699488785985 \tabularnewline
154 & 5 & 5.27469948878599 & -0.274699488785985 \tabularnewline
155 & 5 & 5.3474609795462 & -0.347460979546198 \tabularnewline
156 & 5 & 5.34281291890155 & -0.342812918901554 \tabularnewline
157 & 5 & 5.3474609795462 & -0.347460979546198 \tabularnewline
158 & 5 & 5.34281291890155 & -0.342812918901554 \tabularnewline
159 & 5 & 5.25240751854352 & -0.252407518543517 \tabularnewline
160 & 6 & 4.94650410930533 & 1.05349589069467 \tabularnewline
161 & 5 & 5.11779159666303 & -0.117791596663026 \tabularnewline
162 & 4 & 5.56624386582528 & -1.56624386582528 \tabularnewline
163 & 6 & 5.66465364363217 & 0.335346356367834 \tabularnewline
164 & 5 & 4.91320462074179 & 0.0867953792582085 \tabularnewline
165 & 5 & 4.91094356415013 & 0.0890564358498747 \tabularnewline
166 & 5 & 4.86684994778195 & 0.133150052218052 \tabularnewline
167 & 5 & 5.1452779421423 & -0.145277942142303 \tabularnewline
168 & 4 & 5.20452372912732 & -1.20452372912732 \tabularnewline
169 & 6 & 5.47393427289856 & 0.526065727101439 \tabularnewline
170 & 5 & 5.28515291189063 & -0.285152911890633 \tabularnewline
171 & 4 & 5.00899454953446 & -1.00899454953446 \tabularnewline
172 & 6 & 5.53861358211251 & 0.461386417887489 \tabularnewline
173 & 6 & 5.53861358211251 & 0.461386417887489 \tabularnewline
174 & 6 & 5.97397222700549 & 0.026027772994512 \tabularnewline
175 & 5 & 5.4291486895191 & -0.429148689519099 \tabularnewline
176 & 5 & 5.48613051220268 & -0.486130512202681 \tabularnewline
177 & 5 & 5.4291486895191 & -0.429148689519099 \tabularnewline
178 & 6 & 5.53075690866197 & 0.469243091338034 \tabularnewline
179 & 5 & 5.24099507162114 & -0.24099507162114 \tabularnewline
180 & 5 & 5.42644247454296 & -0.426442474542958 \tabularnewline
181 & 5 & 5.42644247454296 & -0.426442474542958 \tabularnewline
182 & 5 & 4.90385041606716 & 0.0961495839328399 \tabularnewline
183 & 5 & 5.13230416212834 & -0.132304162128343 \tabularnewline
184 & 5 & 5.01370284793889 & -0.0137028479388888 \tabularnewline
185 & 6 & 4.99432589673085 & 1.00567410326915 \tabularnewline
186 & 5 & 5.32615615053678 & -0.326156150536783 \tabularnewline
187 & 5 & 5.100261760675 & -0.100261760675003 \tabularnewline
188 & 5 & 5.31316034911414 & -0.313160349114144 \tabularnewline
189 & 5 & 4.86312061395672 & 0.136879386043281 \tabularnewline
190 & 5 & 4.8819713547909 & 0.118028645209099 \tabularnewline
191 & 5 & 4.98984751910268 & 0.0101524808973154 \tabularnewline
192 & 6 & 5.482124359709 & 0.517875640291002 \tabularnewline
193 & 5 & 4.86161122292246 & 0.138388777077539 \tabularnewline
194 & 5 & 5.4321304185758 & -0.432130418575804 \tabularnewline
195 & 5 & 5.4321304185758 & -0.432130418575804 \tabularnewline
196 & 5 & 4.86846393401713 & 0.131536065982868 \tabularnewline
197 & 5 & 5.38460068276785 & -0.384600682767846 \tabularnewline
198 & 6 & 6.16904293111294 & -0.169042931112936 \tabularnewline
199 & 7 & 5.89439688779991 & 1.10560311220009 \tabularnewline
200 & 4 & 5.35296420701141 & -1.35296420701141 \tabularnewline
201 & 7 & 6.0492057792081 & 0.950794220791904 \tabularnewline
202 & 5 & 5.23793300785223 & -0.237933007852229 \tabularnewline
203 & 5 & 5.44274969294438 & -0.442749692944382 \tabularnewline
204 & 5 & 5.23087162414058 & -0.230871624140577 \tabularnewline
205 & 6 & 5.22235057830349 & 0.777649421696511 \tabularnewline
206 & 7 & 6.26870440372228 & 0.731295596277717 \tabularnewline
207 & 7 & 6.26870440372228 & 0.731295596277717 \tabularnewline
208 & 5 & 4.86754758942365 & 0.132452410576346 \tabularnewline
209 & 5 & 5.19168951588766 & -0.191689515887656 \tabularnewline
210 & 7 & 6.23471741294201 & 0.76528258705799 \tabularnewline
211 & 6 & 6.45899663202722 & -0.458996632027219 \tabularnewline
212 & 6 & 5.204959782345 & 0.795040217655004 \tabularnewline
213 & 6 & 5.92371704517441 & 0.0762829548255859 \tabularnewline
214 & 5 & 5.3959476999191 & -0.3959476999191 \tabularnewline
215 & 6 & 5.38047690124872 & 0.619523098751281 \tabularnewline
216 & 5 & 5.30692377046041 & -0.306923770460406 \tabularnewline
217 & 5 & 5.78262335955393 & -0.782623359553926 \tabularnewline
218 & 5 & 5.04770196760223 & -0.0477019676022317 \tabularnewline
219 & 5 & 5.40452548854639 & -0.404525488546387 \tabularnewline
220 & 5 & 4.86984749009426 & 0.130152509905737 \tabularnewline
221 & 6 & 5.39583978345557 & 0.604160216544432 \tabularnewline
222 & 5 & 5.12404152451817 & -0.124041524518167 \tabularnewline
223 & 5 & 5.43273192883368 & -0.432731928833681 \tabularnewline
224 & 6 & 5.50923109013671 & 0.490768909863285 \tabularnewline
225 & 4 & 5.43348329650065 & -1.43348329650065 \tabularnewline
226 & 6 & 5.6998986164941 & 0.300101383505904 \tabularnewline
227 & 6 & 5.35719297879149 & 0.642807021208509 \tabularnewline
228 & 5 & 5.39265563712741 & -0.392655637127413 \tabularnewline
229 & 6 & 5.6998986164941 & 0.300101383505904 \tabularnewline
230 & 5 & 5.70515913577108 & -0.705159135771084 \tabularnewline
231 & 7 & 5.8569275206075 & 1.1430724793925 \tabularnewline
232 & 6 & 5.66631655060143 & 0.333683449398568 \tabularnewline
233 & 6 & 5.6210724574157 & 0.378927542584298 \tabularnewline
234 & 5 & 5.70515913577108 & -0.705159135771084 \tabularnewline
235 & 6 & 4.83541013074678 & 1.16458986925322 \tabularnewline
236 & 6 & 5.17256952709537 & 0.827430472904627 \tabularnewline
237 & 6 & 5.17256952709537 & 0.827430472904627 \tabularnewline
238 & 6 & 5.21747936895931 & 0.782520631040687 \tabularnewline
239 & 6 & 5.17256952709537 & 0.827430472904627 \tabularnewline
240 & 6 & 4.83541013074678 & 1.16458986925322 \tabularnewline
241 & 5 & 5.16374134090496 & -0.163741340904958 \tabularnewline
242 & 6 & 6.23592525063946 & -0.235925250639465 \tabularnewline
243 & 6 & 5.13867707692336 & 0.861322923076635 \tabularnewline
244 & 7 & 6.3030578951971 & 0.696942104802896 \tabularnewline
245 & 7 & 6.3030578951971 & 0.696942104802896 \tabularnewline
246 & 6 & 5.66572492325174 & 0.334275076748265 \tabularnewline
247 & 5 & 5.16774440242729 & -0.167744402427288 \tabularnewline
248 & 5 & 5.08745720371136 & -0.0874572037113583 \tabularnewline
249 & 6 & 5.47976221704731 & 0.520237782952692 \tabularnewline
250 & 6 & 5.66572492325174 & 0.334275076748265 \tabularnewline
251 & 6 & 6.01340693530032 & -0.0134069353003225 \tabularnewline
252 & 6 & 5.57607041660087 & 0.423929583399133 \tabularnewline
253 & 5 & 6.03923243956753 & -1.03923243956753 \tabularnewline
254 & 5 & 4.76189704396662 & 0.23810295603338 \tabularnewline
255 & 6 & 5.57607041660087 & 0.423929583399133 \tabularnewline
256 & 5 & 4.93674091666964 & 0.0632590833303561 \tabularnewline
257 & 5 & 5.65699082685899 & -0.656990826858992 \tabularnewline
258 & 5 & 5.0896323693816 & -0.0896323693815988 \tabularnewline
259 & 5 & 4.89874082303558 & 0.101259176964425 \tabularnewline
260 & 7 & 6.09579982865102 & 0.904200171348979 \tabularnewline
261 & 5 & 5.5405384159635 & -0.5405384159635 \tabularnewline
262 & 4 & 4.78168069509845 & -0.781680695098454 \tabularnewline
263 & 5 & 5.66314183894519 & -0.663141838945191 \tabularnewline
264 & 5 & 5.50885440468831 & -0.508854404688306 \tabularnewline
265 & 5 & 6.23844627326153 & -1.23844627326153 \tabularnewline
266 & 7 & 6.2215615356405 & 0.778438464359498 \tabularnewline
267 & 4 & 5.25717307399452 & -1.25717307399452 \tabularnewline
268 & 8 & 6.61996506342609 & 1.38003493657391 \tabularnewline
269 & 6 & 5.54838404077838 & 0.451615959221625 \tabularnewline
270 & 6 & 6.30207908857006 & -0.302079088570059 \tabularnewline
271 & 6 & 5.81301209409707 & 0.186987905902926 \tabularnewline
272 & 6 & 6.30207908857006 & -0.302079088570059 \tabularnewline
273 & 5 & 5.8100253705574 & -0.810025370557401 \tabularnewline
274 & 5 & 5.2477370492123 & -0.2477370492123 \tabularnewline
275 & 5 & 5.13639418762699 & -0.13639418762699 \tabularnewline
276 & 6 & 5.81301209409707 & 0.186987905902926 \tabularnewline
277 & 6 & 5.54838404077838 & 0.451615959221625 \tabularnewline
278 & 6 & 6.30207908857006 & -0.302079088570059 \tabularnewline
279 & 8 & 6.88718693890635 & 1.11281306109365 \tabularnewline
280 & 7 & 5.92164041788137 & 1.07835958211863 \tabularnewline
281 & 6 & 5.99589992316292 & 0.00410007683708063 \tabularnewline
282 & 7 & 5.57587871007934 & 1.42412128992066 \tabularnewline
283 & 5 & 5.24389962608226 & -0.243899626082259 \tabularnewline
284 & 7 & 5.92164041788137 & 1.07835958211863 \tabularnewline
285 & 5 & 5.6376753090274 & -0.637675309027401 \tabularnewline
286 & 5 & 5.6376753090274 & -0.637675309027401 \tabularnewline
287 & 6 & 5.98070534357982 & 0.0192946564201828 \tabularnewline
288 & 6 & 5.81785197051566 & 0.18214802948434 \tabularnewline
289 & 7 & 5.97774183806298 & 1.02225816193702 \tabularnewline
290 & 5 & 5.51668895829705 & -0.51668895829705 \tabularnewline
291 & 7 & 5.97774183806298 & 1.02225816193702 \tabularnewline
292 & 5 & 5.99233589636885 & -0.99233589636885 \tabularnewline
293 & 6 & 5.82268799600977 & 0.177312003990227 \tabularnewline
294 & 6 & 5.70572339977854 & 0.294276600221457 \tabularnewline
295 & 6 & 5.94926906464597 & 0.0507309353540265 \tabularnewline
296 & 5 & 5.62562592415375 & -0.625625924153755 \tabularnewline
297 & 5 & 5.21629208506324 & -0.216292085063239 \tabularnewline
298 & 5 & 5.41266424719917 & -0.412664247199172 \tabularnewline
299 & 5 & 5.46458293152908 & -0.464582931529075 \tabularnewline
300 & 5 & 5.32947559202704 & -0.32947559202704 \tabularnewline
301 & 6 & 5.80131484499825 & 0.198685155001751 \tabularnewline
302 & 6 & 6.17956248646953 & -0.179562486469533 \tabularnewline
303 & 5 & 5.5492913722567 & -0.549291372256701 \tabularnewline
304 & 5 & 5.1604158057364 & -0.160415805736395 \tabularnewline
305 & 5 & 4.70152109176525 & 0.298478908234749 \tabularnewline
306 & 6 & 5.47151083788815 & 0.528489162111848 \tabularnewline
307 & 5 & 5.05194840166276 & -0.0519484016627566 \tabularnewline
308 & 6 & 5.58249154872647 & 0.417508451273535 \tabularnewline
309 & 6 & 5.56103529650092 & 0.438964703499084 \tabularnewline
310 & 6 & 5.50784817050012 & 0.492151829499878 \tabularnewline
311 & 6 & 5.47151083788815 & 0.528489162111848 \tabularnewline
312 & 6 & 5.02551393017078 & 0.974486069829216 \tabularnewline
313 & 6 & 5.2581765329747 & 0.741823467025295 \tabularnewline
314 & 5 & 5.0211780913639 & -0.0211780913639015 \tabularnewline
315 & 5 & 5.86326263429738 & -0.863262634297383 \tabularnewline
316 & 6 & 5.88886916525022 & 0.11113083474978 \tabularnewline
317 & 5 & 5.53312466205122 & -0.533124662051223 \tabularnewline
318 & 6 & 5.54207658138721 & 0.457923418612787 \tabularnewline
319 & 7 & 5.93249358896085 & 1.06750641103915 \tabularnewline
320 & 6 & 5.54207658138721 & 0.457923418612787 \tabularnewline
321 & 7 & 5.93249358896085 & 1.06750641103915 \tabularnewline
322 & 5 & 5.30764714178637 & -0.307647141786374 \tabularnewline
323 & 5 & 5.4226043367205 & -0.422604336720499 \tabularnewline
324 & 6 & 5.38218807569728 & 0.617811924302724 \tabularnewline
325 & 6 & 5.63073153465955 & 0.369268465340454 \tabularnewline
326 & 6 & 5.63073153465955 & 0.369268465340454 \tabularnewline
327 & 7 & 6.22341790653484 & 0.776582093465157 \tabularnewline
328 & 5 & 6.34806750411712 & -1.34806750411712 \tabularnewline
329 & 6 & 6.06972996148757 & -0.0697299614875733 \tabularnewline
330 & 5 & 5.73555206088024 & -0.735552060880243 \tabularnewline
331 & 6 & 6.42805697496263 & -0.42805697496263 \tabularnewline
332 & 6 & 6.42805697496263 & -0.42805697496263 \tabularnewline
333 & 6 & 4.96450792286578 & 1.03549207713422 \tabularnewline
334 & 5 & 5.87201465217113 & -0.872014652171125 \tabularnewline
335 & 7 & 6.15278554595857 & 0.84721445404143 \tabularnewline
336 & 7 & 6.37555850913247 & 0.624441490867529 \tabularnewline
337 & 6 & 6.52193310394441 & -0.52193310394441 \tabularnewline
338 & 5 & 5.66716994353816 & -0.667169943538157 \tabularnewline
339 & 6 & 6.19948758194439 & -0.199487581944387 \tabularnewline
340 & 7 & 6.39386079551792 & 0.60613920448208 \tabularnewline
341 & 6 & 6.10398446429995 & -0.103984464299948 \tabularnewline
342 & 6 & 6.37368060166453 & -0.373680601664534 \tabularnewline
343 & 6 & 5.86405142042136 & 0.135948579578637 \tabularnewline
344 & 6 & 5.86405142042136 & 0.135948579578637 \tabularnewline
345 & 6 & 6.02870355342273 & -0.0287035534227268 \tabularnewline
346 & 5 & 5.47716816283681 & -0.477168162836809 \tabularnewline
347 & 7 & 6.13473470494869 & 0.865265295051305 \tabularnewline
348 & 6 & 6.71474261511553 & -0.714742615115535 \tabularnewline
349 & 6 & 5.75793793655149 & 0.242062063448508 \tabularnewline
350 & 6 & 5.49464543143391 & 0.505354568566085 \tabularnewline
351 & 6 & 5.82289192264486 & 0.177108077355144 \tabularnewline
352 & 6 & 5.47618985153176 & 0.523810148468238 \tabularnewline
353 & 5 & 5.43971403134027 & -0.439714031340269 \tabularnewline
354 & 5 & 6.56166500439808 & -1.56166500439808 \tabularnewline
355 & 6 & 5.69454977017807 & 0.305450229821926 \tabularnewline
356 & 6 & 6.23054566768038 & -0.230545667680383 \tabularnewline
357 & 5 & 6.24656008634396 & -1.24656008634396 \tabularnewline
358 & 7 & 6.24096029427678 & 0.759039705723218 \tabularnewline
359 & 7 & 6.04797210332055 & 0.952027896679446 \tabularnewline
360 & 6 & 5.8229289315695 & 0.177071068430503 \tabularnewline
361 & 5 & 5.05628891215407 & -0.0562889121540746 \tabularnewline
362 & 6 & 5.73279989841666 & 0.267200101583336 \tabularnewline
363 & 5 & 5.58748547621314 & -0.587485476213143 \tabularnewline
364 & 5 & 6.09727244436379 & -1.09727244436379 \tabularnewline
365 & 7 & 5.71748556485685 & 1.28251443514315 \tabularnewline
366 & 6 & 6.44984498424049 & -0.449844984240487 \tabularnewline
367 & 7 & 5.71748556485685 & 1.28251443514315 \tabularnewline
368 & 5 & 5.32329134685186 & -0.323291346851856 \tabularnewline
369 & 5 & 5.38714727320901 & -0.387147273209012 \tabularnewline
370 & 7 & 6.73705686837893 & 0.262943131621073 \tabularnewline
371 & 5 & 5.35336560049374 & -0.353365600493736 \tabularnewline
372 & 6 & 5.55676156801859 & 0.443238431981409 \tabularnewline
373 & 6 & 6.17960701330301 & -0.179607013303009 \tabularnewline
374 & 5 & 5.08869253534475 & -0.088692535344753 \tabularnewline
375 & 6 & 6.2812881617115 & -0.281288161711504 \tabularnewline
376 & 7 & 6.32030703914454 & 0.679692960855461 \tabularnewline
377 & 6 & 6.34257276191458 & -0.342572761914578 \tabularnewline
378 & 7 & 6.73705686837893 & 0.262943131621073 \tabularnewline
379 & 6 & 6.80122505961841 & -0.801225059618409 \tabularnewline
380 & 6 & 5.82917035871274 & 0.170829641287257 \tabularnewline
381 & 6 & 5.71979175260126 & 0.280208247398743 \tabularnewline
382 & 6 & 6.01796654770873 & -0.0179665477087315 \tabularnewline
383 & 6 & 5.71979175260126 & 0.280208247398743 \tabularnewline
384 & 6 & 5.71979175260126 & 0.280208247398743 \tabularnewline
385 & 5 & 5.29039853479304 & -0.290398534793039 \tabularnewline
386 & 6 & 5.46420820609138 & 0.535791793908616 \tabularnewline
387 & 6 & 5.30649368080847 & 0.693506319191526 \tabularnewline
388 & 6 & 5.33034079511805 & 0.669659204881954 \tabularnewline
389 & 6 & 5.36235239528633 & 0.63764760471367 \tabularnewline
390 & 7 & 5.80365474611043 & 1.19634525388957 \tabularnewline
391 & 8 & 5.88947619459251 & 2.11052380540749 \tabularnewline
392 & 6 & 6.01796654770873 & -0.0179665477087315 \tabularnewline
393 & 5 & 5.52488901013861 & -0.52488901013861 \tabularnewline
394 & 5 & 4.64118567873925 & 0.358814321260755 \tabularnewline
395 & 5 & 5.67994107741961 & -0.679941077419607 \tabularnewline
396 & 7 & 6.70915190416846 & 0.290848095831539 \tabularnewline
397 & 5 & 5.05058587218885 & -0.0505858721888481 \tabularnewline
398 & 6 & 5.8745360954688 & 0.125463904531205 \tabularnewline
399 & 6 & 5.8745360954688 & 0.125463904531205 \tabularnewline
400 & 5 & 5.16886950670578 & -0.16886950670578 \tabularnewline
401 & 5 & 5.05058587218885 & -0.0505858721888481 \tabularnewline
402 & 6 & 5.97994621964956 & 0.0200537803504359 \tabularnewline
403 & 6 & 5.86190643499913 & 0.138093565000875 \tabularnewline
404 & 6 & 5.78436776684894 & 0.215632233151055 \tabularnewline
405 & 5 & 5.26799340606441 & -0.267993406064406 \tabularnewline
406 & 6 & 5.88351353344889 & 0.116486466551111 \tabularnewline
407 & 6 & 5.99722949043057 & 0.00277050956943443 \tabularnewline
408 & 7 & 6.09425886641173 & 0.905741133588265 \tabularnewline
409 & 6 & 6.19919734047508 & -0.199197340475078 \tabularnewline
410 & 4 & 5.75304160225854 & -1.75304160225854 \tabularnewline
411 & 6 & 5.35398034308889 & 0.64601965691111 \tabularnewline
412 & 5 & 5.36304711077226 & -0.363047110772258 \tabularnewline
413 & 5 & 4.9182088410853 & 0.0817911589146957 \tabularnewline
414 & 7 & 6.40362604675379 & 0.596373953246212 \tabularnewline
415 & 5 & 5.06973063082281 & -0.0697306308228087 \tabularnewline
416 & 5 & 5.04586648701347 & -0.0458664870134697 \tabularnewline
417 & 6 & 6.17414482813709 & -0.17414482813709 \tabularnewline
418 & 5 & 5.20955301753471 & -0.209553017534712 \tabularnewline
419 & 6 & 6.10955773796284 & -0.109557737962837 \tabularnewline
420 & 5 & 5.33741502583782 & -0.337415025837815 \tabularnewline
421 & 7 & 6.14026477803892 & 0.859735221961084 \tabularnewline
422 & 7 & 5.93345919073683 & 1.06654080926317 \tabularnewline
423 & 5 & 5.22995111016899 & -0.229951110168992 \tabularnewline
424 & 7 & 6.45634684959367 & 0.543653150406331 \tabularnewline
425 & 5 & 5.22995111016899 & -0.229951110168992 \tabularnewline
426 & 7 & 5.93345919073683 & 1.06654080926317 \tabularnewline
427 & 6 & 5.7240482099313 & 0.275951790068701 \tabularnewline
428 & 6 & 5.61177142982576 & 0.388228570174244 \tabularnewline
429 & 5 & 5.4211120791978 & -0.421112079197799 \tabularnewline
430 & 6 & 5.56572726538879 & 0.43427273461121 \tabularnewline
431 & 7 & 6.45634684959367 & 0.543653150406331 \tabularnewline
432 & 5 & 5.09301866923841 & -0.0930186692384117 \tabularnewline
433 & 6 & 6.75309185290879 & -0.75309185290879 \tabularnewline
434 & 5 & 5.70288488129791 & -0.702884881297915 \tabularnewline
435 & 6 & 5.80301732842504 & 0.196982671574965 \tabularnewline
436 & 5 & 5.70288488129791 & -0.702884881297915 \tabularnewline
437 & 6 & 5.39918805425027 & 0.600811945749732 \tabularnewline
438 & 6 & 6.1050317463992 & -0.105031746399196 \tabularnewline
439 & 6 & 5.80301732842504 & 0.196982671574965 \tabularnewline
440 & 5 & 5.1450929529146 & -0.145092952914602 \tabularnewline
441 & 8 & 6.00478924014025 & 1.99521075985975 \tabularnewline
442 & 6 & 6.28752618722659 & -0.287526187226586 \tabularnewline
443 & 7 & 6.13539283445491 & 0.864607165545087 \tabularnewline
444 & 7 & 6.26458097917844 & 0.735419020821563 \tabularnewline
445 & 7 & 6.31905161487361 & 0.680948385126393 \tabularnewline
446 & 6 & 5.57607246067754 & 0.423927539322462 \tabularnewline
447 & 5 & 6.01825954734017 & -1.01825954734017 \tabularnewline
448 & 5 & 6.14392402782838 & -1.14392402782838 \tabularnewline
449 & 6 & 5.66768095668006 & 0.332319043319939 \tabularnewline
450 & 6 & 6.05459471367394 & -0.0545947136739405 \tabularnewline
451 & 6 & 6.05459471367394 & -0.0545947136739405 \tabularnewline
452 & 6 & 5.24374814996248 & 0.756251850037522 \tabularnewline
453 & 6 & 5.56208673206965 & 0.43791326793035 \tabularnewline
454 & 7 & 6.23985067410877 & 0.760149325891226 \tabularnewline
455 & 5 & 5.91705834424485 & -0.917058344244845 \tabularnewline
456 & 8 & 6.67889424721087 & 1.32110575278913 \tabularnewline
457 & 5 & 5.59550974986331 & -0.595509749863309 \tabularnewline
458 & 5 & 5.34886169627836 & -0.348861696278356 \tabularnewline
459 & 7 & 6.23985067410877 & 0.760149325891226 \tabularnewline
460 & 3 & 5.21089741903226 & -2.21089741903225 \tabularnewline
461 & 6 & 6.06778136161045 & -0.0677813616104491 \tabularnewline
462 & 5 & 5.35931791290108 & -0.359317912901081 \tabularnewline
463 & 5 & 6.44230884664065 & -1.44230884664065 \tabularnewline
464 & 5 & 4.44099904735725 & 0.559000952642749 \tabularnewline
465 & 6 & 5.80405231696191 & 0.195947683038088 \tabularnewline
466 & 5 & 5.96587896931103 & -0.965878969311031 \tabularnewline
467 & 6 & 6.1842107992586 & -0.184210799258602 \tabularnewline
468 & 6 & 6.97925318150287 & -0.979253181502869 \tabularnewline
469 & 6 & 5.58342584320188 & 0.416574156798116 \tabularnewline
470 & 5 & 5.38942255170051 & -0.389422551700511 \tabularnewline
471 & 5 & 6.11969328152701 & -1.11969328152701 \tabularnewline
472 & 6 & 6.03853165282528 & -0.0385316528252824 \tabularnewline
473 & 6 & 6.06344026007549 & -0.0634402600754855 \tabularnewline
474 & 5 & 6.10516800853445 & -1.10516800853445 \tabularnewline
475 & 6 & 5.88571020570097 & 0.114289794299027 \tabularnewline
476 & 5 & 5.62586649394183 & -0.625866493941834 \tabularnewline
477 & 5 & 5.85763352521176 & -0.857633525211764 \tabularnewline
478 & 6 & 6.52139413277307 & -0.521394132773068 \tabularnewline
479 & 5 & 5.62586649394183 & -0.625866493941834 \tabularnewline
480 & 6 & 5.6939589386827 & 0.306041061317299 \tabularnewline
481 & 5 & 5.92188878130343 & -0.921888781303431 \tabularnewline
482 & 8 & 6.49749605656742 & 1.50250394343258 \tabularnewline
483 & 5 & 5.80644149832115 & -0.80644149832115 \tabularnewline
484 & 5 & 5.80906882899156 & -0.809068828991558 \tabularnewline
485 & 6 & 6.72908557401824 & -0.729085574018236 \tabularnewline
486 & 5 & 5.55168622919863 & -0.551686229198633 \tabularnewline
487 & 5 & 5.55168622919863 & -0.551686229198633 \tabularnewline
488 & 6 & 5.58302827922829 & 0.416971720771708 \tabularnewline
489 & 7 & 6.24363978289102 & 0.756360217108985 \tabularnewline
490 & 6 & 5.90697805449239 & 0.0930219455076139 \tabularnewline
491 & 6 & 5.57227847275184 & 0.427721527248158 \tabularnewline
492 & 7 & 6.81261616621022 & 0.187383833789776 \tabularnewline
493 & 7 & 6.87844473818588 & 0.121555261814121 \tabularnewline
494 & 6 & 5.79979835929665 & 0.200201640703351 \tabularnewline
495 & 6 & 6.05597185145051 & -0.0559718514505077 \tabularnewline
496 & 8 & 6.22998408274332 & 1.77001591725668 \tabularnewline
497 & 6 & 5.25000747595613 & 0.749992524043869 \tabularnewline
498 & 5 & 5.80363521873346 & -0.803635218733462 \tabularnewline
499 & 8 & 6.22998408274332 & 1.77001591725668 \tabularnewline
500 & 6 & 5.79979835929665 & 0.200201640703351 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154359&T=4

[TABLE]
[ROW][C]Multiple Linear Regression - Actuals, Interpolation, and Residuals[/C][/ROW]
[ROW][C]Time or Index[/C][C]Actuals[/C][C]InterpolationForecast[/C][C]ResidualsPrediction Error[/C][/ROW]
[ROW][C]1[/C][C]5[/C][C]5.25498018257426[/C][C]-0.254980182574256[/C][/ROW]
[ROW][C]2[/C][C]5[/C][C]5.18335551513157[/C][C]-0.183355515131565[/C][/ROW]
[ROW][C]3[/C][C]5[/C][C]5.29722442120452[/C][C]-0.297224421204518[/C][/ROW]
[ROW][C]4[/C][C]6[/C][C]5.74471407801968[/C][C]0.25528592198032[/C][/ROW]
[ROW][C]5[/C][C]5[/C][C]5.25498018257426[/C][C]-0.254980182574261[/C][/ROW]
[ROW][C]6[/C][C]5[/C][C]5.27457259815486[/C][C]-0.274572598154864[/C][/ROW]
[ROW][C]7[/C][C]5[/C][C]5.22730171155379[/C][C]-0.227301711553787[/C][/ROW]
[ROW][C]8[/C][C]7[/C][C]5.51142939112709[/C][C]1.48857060887291[/C][/ROW]
[ROW][C]9[/C][C]7[/C][C]5.51560605592649[/C][C]1.48439394407351[/C][/ROW]
[ROW][C]10[/C][C]5[/C][C]5.48287333471363[/C][C]-0.482873334713629[/C][/ROW]
[ROW][C]11[/C][C]5[/C][C]5.06104541728524[/C][C]-0.0610454172852416[/C][/ROW]
[ROW][C]12[/C][C]5[/C][C]5.48287333471363[/C][C]-0.482873334713628[/C][/ROW]
[ROW][C]13[/C][C]5[/C][C]5.18840398736617[/C][C]-0.188403987366167[/C][/ROW]
[ROW][C]14[/C][C]5[/C][C]5.62667074110239[/C][C]-0.626670741102386[/C][/ROW]
[ROW][C]15[/C][C]5[/C][C]5.01284180199337[/C][C]-0.0128418019933702[/C][/ROW]
[ROW][C]16[/C][C]5[/C][C]5.0218803346148[/C][C]-0.021880334614797[/C][/ROW]
[ROW][C]17[/C][C]7[/C][C]5.6476358655723[/C][C]1.3523641344277[/C][/ROW]
[ROW][C]18[/C][C]5[/C][C]5.25828954240564[/C][C]-0.25828954240564[/C][/ROW]
[ROW][C]19[/C][C]4[/C][C]5.19452309346482[/C][C]-1.19452309346482[/C][/ROW]
[ROW][C]20[/C][C]6[/C][C]5.2674124637805[/C][C]0.7325875362195[/C][/ROW]
[ROW][C]21[/C][C]6[/C][C]5.52297607802911[/C][C]0.47702392197089[/C][/ROW]
[ROW][C]22[/C][C]5[/C][C]5.41649422811869[/C][C]-0.416494228118689[/C][/ROW]
[ROW][C]23[/C][C]5[/C][C]5.63611530661604[/C][C]-0.636115306616036[/C][/ROW]
[ROW][C]24[/C][C]5[/C][C]5.34305024606356[/C][C]-0.343050246063558[/C][/ROW]
[ROW][C]25[/C][C]6[/C][C]5.57095068839656[/C][C]0.42904931160344[/C][/ROW]
[ROW][C]26[/C][C]5[/C][C]5.40982645125729[/C][C]-0.409826451257291[/C][/ROW]
[ROW][C]27[/C][C]5[/C][C]5.57272707174191[/C][C]-0.572727071741909[/C][/ROW]
[ROW][C]28[/C][C]5[/C][C]5.63611530661604[/C][C]-0.636115306616036[/C][/ROW]
[ROW][C]29[/C][C]5[/C][C]5.21648236130713[/C][C]-0.216482361307131[/C][/ROW]
[ROW][C]30[/C][C]6[/C][C]5.5553759023823[/C][C]0.444624097617699[/C][/ROW]
[ROW][C]31[/C][C]5[/C][C]5.18069955415863[/C][C]-0.180699554158634[/C][/ROW]
[ROW][C]32[/C][C]6[/C][C]5.59732673210367[/C][C]0.402673267896326[/C][/ROW]
[ROW][C]33[/C][C]5[/C][C]5.14709388556783[/C][C]-0.147093885567827[/C][/ROW]
[ROW][C]34[/C][C]6[/C][C]5.17110789307484[/C][C]0.828892106925163[/C][/ROW]
[ROW][C]35[/C][C]5[/C][C]5.16258577495578[/C][C]-0.162585774955779[/C][/ROW]
[ROW][C]36[/C][C]6[/C][C]5.48666961523455[/C][C]0.513330384765452[/C][/ROW]
[ROW][C]37[/C][C]6[/C][C]5.82688244606558[/C][C]0.173117553934419[/C][/ROW]
[ROW][C]38[/C][C]7[/C][C]5.71948885495713[/C][C]1.28051114504287[/C][/ROW]
[ROW][C]39[/C][C]4[/C][C]4.64115769444474[/C][C]-0.641157694444738[/C][/ROW]
[ROW][C]40[/C][C]5[/C][C]5.58427840605316[/C][C]-0.584278406053156[/C][/ROW]
[ROW][C]41[/C][C]5[/C][C]5.58427840605316[/C][C]-0.584278406053156[/C][/ROW]
[ROW][C]42[/C][C]4[/C][C]5.21544296840559[/C][C]-1.21544296840559[/C][/ROW]
[ROW][C]43[/C][C]6[/C][C]5.71076139056152[/C][C]0.289238609438483[/C][/ROW]
[ROW][C]44[/C][C]5[/C][C]5.90121151936173[/C][C]-0.901211519361726[/C][/ROW]
[ROW][C]45[/C][C]5[/C][C]5.34669795948174[/C][C]-0.346697959481744[/C][/ROW]
[ROW][C]46[/C][C]4[/C][C]6.08331666638142[/C][C]-2.08331666638142[/C][/ROW]
[ROW][C]47[/C][C]5[/C][C]4.46717938342855[/C][C]0.532820616571453[/C][/ROW]
[ROW][C]48[/C][C]5[/C][C]5.4959528618475[/C][C]-0.495952861847497[/C][/ROW]
[ROW][C]49[/C][C]5[/C][C]5.38846603664718[/C][C]-0.388466036647178[/C][/ROW]
[ROW][C]50[/C][C]5[/C][C]4.96894615792318[/C][C]0.0310538420768164[/C][/ROW]
[ROW][C]51[/C][C]5[/C][C]5.35332721860626[/C][C]-0.353327218606263[/C][/ROW]
[ROW][C]52[/C][C]6[/C][C]5.47509160568773[/C][C]0.524908394312267[/C][/ROW]
[ROW][C]53[/C][C]6[/C][C]5.49972758808198[/C][C]0.500272411918015[/C][/ROW]
[ROW][C]54[/C][C]5[/C][C]5.17009503927023[/C][C]-0.17009503927023[/C][/ROW]
[ROW][C]55[/C][C]6[/C][C]5.54127702290376[/C][C]0.458722977096239[/C][/ROW]
[ROW][C]56[/C][C]5[/C][C]5.36874863833388[/C][C]-0.368748638333879[/C][/ROW]
[ROW][C]57[/C][C]5[/C][C]5.6941630698145[/C][C]-0.694163069814495[/C][/ROW]
[ROW][C]58[/C][C]5[/C][C]5.15543066938506[/C][C]-0.155430669385061[/C][/ROW]
[ROW][C]59[/C][C]5[/C][C]5.43446395293341[/C][C]-0.434463952933408[/C][/ROW]
[ROW][C]60[/C][C]6[/C][C]5.32537079575572[/C][C]0.674629204244278[/C][/ROW]
[ROW][C]61[/C][C]5[/C][C]5.37804453445588[/C][C]-0.378044534455878[/C][/ROW]
[ROW][C]62[/C][C]5[/C][C]4.70648160662765[/C][C]0.293518393372348[/C][/ROW]
[ROW][C]63[/C][C]7[/C][C]5.41463382408722[/C][C]1.58536617591278[/C][/ROW]
[ROW][C]64[/C][C]5[/C][C]5.20116851873481[/C][C]-0.201168518734808[/C][/ROW]
[ROW][C]65[/C][C]5[/C][C]5.65801785311165[/C][C]-0.658017853111646[/C][/ROW]
[ROW][C]66[/C][C]5[/C][C]5.65801785311165[/C][C]-0.658017853111646[/C][/ROW]
[ROW][C]67[/C][C]5[/C][C]5.43111842847133[/C][C]-0.431118428471327[/C][/ROW]
[ROW][C]68[/C][C]5[/C][C]5.62634583573655[/C][C]-0.626345835736549[/C][/ROW]
[ROW][C]69[/C][C]5[/C][C]5.92226478101408[/C][C]-0.922264781014082[/C][/ROW]
[ROW][C]70[/C][C]6[/C][C]5.87769095660948[/C][C]0.122309043390521[/C][/ROW]
[ROW][C]71[/C][C]6[/C][C]5.38396774213162[/C][C]0.616032257868382[/C][/ROW]
[ROW][C]72[/C][C]5[/C][C]4.90010495237249[/C][C]0.0998950476275105[/C][/ROW]
[ROW][C]73[/C][C]5[/C][C]4.90094541140196[/C][C]0.0990545885980365[/C][/ROW]
[ROW][C]74[/C][C]4[/C][C]5.09981343719322[/C][C]-1.09981343719322[/C][/ROW]
[ROW][C]75[/C][C]5[/C][C]5.55628653329786[/C][C]-0.556286533297864[/C][/ROW]
[ROW][C]76[/C][C]5[/C][C]5.63907118294834[/C][C]-0.639071182948335[/C][/ROW]
[ROW][C]77[/C][C]5[/C][C]5.63907118294834[/C][C]-0.639071182948335[/C][/ROW]
[ROW][C]78[/C][C]6[/C][C]5.50990086586231[/C][C]0.490099134137691[/C][/ROW]
[ROW][C]79[/C][C]5[/C][C]5.05703443858266[/C][C]-0.0570344385826579[/C][/ROW]
[ROW][C]80[/C][C]4[/C][C]5.16142207698528[/C][C]-1.16142207698528[/C][/ROW]
[ROW][C]81[/C][C]5[/C][C]5.30785020262086[/C][C]-0.307850202620856[/C][/ROW]
[ROW][C]82[/C][C]5[/C][C]5.02932565677921[/C][C]-0.0293256567792091[/C][/ROW]
[ROW][C]83[/C][C]5[/C][C]4.95938121571356[/C][C]0.0406187842864423[/C][/ROW]
[ROW][C]84[/C][C]5[/C][C]5.03629378725987[/C][C]-0.0362937872598658[/C][/ROW]
[ROW][C]85[/C][C]6[/C][C]5.59653358559096[/C][C]0.40346641440904[/C][/ROW]
[ROW][C]86[/C][C]5[/C][C]5.51543636476995[/C][C]-0.515436364769951[/C][/ROW]
[ROW][C]87[/C][C]6[/C][C]5.83796309351165[/C][C]0.162036906488355[/C][/ROW]
[ROW][C]88[/C][C]5[/C][C]5.47887115854746[/C][C]-0.478871158547461[/C][/ROW]
[ROW][C]89[/C][C]5[/C][C]5.49667912606578[/C][C]-0.496679126065779[/C][/ROW]
[ROW][C]90[/C][C]5[/C][C]5.16037934327007[/C][C]-0.160379343270069[/C][/ROW]
[ROW][C]91[/C][C]5[/C][C]4.97496213638683[/C][C]0.0250378636131711[/C][/ROW]
[ROW][C]92[/C][C]6[/C][C]5.83796309351165[/C][C]0.162036906488355[/C][/ROW]
[ROW][C]93[/C][C]5[/C][C]5.82828586648162[/C][C]-0.828285866481618[/C][/ROW]
[ROW][C]94[/C][C]5[/C][C]5.47887115854746[/C][C]-0.478871158547461[/C][/ROW]
[ROW][C]95[/C][C]4[/C][C]4.85396589776099[/C][C]-0.853965897760986[/C][/ROW]
[ROW][C]96[/C][C]6[/C][C]5.79536629998231[/C][C]0.204633700017687[/C][/ROW]
[ROW][C]97[/C][C]5[/C][C]5.55174332867224[/C][C]-0.551743328672238[/C][/ROW]
[ROW][C]98[/C][C]5[/C][C]5.31604837278671[/C][C]-0.316048372786712[/C][/ROW]
[ROW][C]99[/C][C]5[/C][C]5.25617525448152[/C][C]-0.256175254481518[/C][/ROW]
[ROW][C]100[/C][C]6[/C][C]5.27499429280394[/C][C]0.725005707196056[/C][/ROW]
[ROW][C]101[/C][C]6[/C][C]5.44998788992372[/C][C]0.550012110076285[/C][/ROW]
[ROW][C]102[/C][C]6[/C][C]5.68917211757566[/C][C]0.310827882424336[/C][/ROW]
[ROW][C]103[/C][C]6[/C][C]5.27499429280394[/C][C]0.725005707196056[/C][/ROW]
[ROW][C]104[/C][C]5[/C][C]5.10359146759339[/C][C]-0.103591467593394[/C][/ROW]
[ROW][C]105[/C][C]5[/C][C]5.26708397567208[/C][C]-0.267083975672083[/C][/ROW]
[ROW][C]106[/C][C]5[/C][C]5.10359146759339[/C][C]-0.103591467593394[/C][/ROW]
[ROW][C]107[/C][C]5[/C][C]5.02285008591647[/C][C]-0.022850085916468[/C][/ROW]
[ROW][C]108[/C][C]5[/C][C]5.0010393413894[/C][C]-0.0010393413893975[/C][/ROW]
[ROW][C]109[/C][C]6[/C][C]5.37762359776054[/C][C]0.622376402239459[/C][/ROW]
[ROW][C]110[/C][C]5[/C][C]4.47178543078731[/C][C]0.528214569212695[/C][/ROW]
[ROW][C]111[/C][C]5[/C][C]5.47697583380126[/C][C]-0.476975833801265[/C][/ROW]
[ROW][C]112[/C][C]5[/C][C]5.21733111841044[/C][C]-0.217331118410438[/C][/ROW]
[ROW][C]113[/C][C]5[/C][C]5.22655970501218[/C][C]-0.226559705012178[/C][/ROW]
[ROW][C]114[/C][C]6[/C][C]5.77467722917965[/C][C]0.225322770820351[/C][/ROW]
[ROW][C]115[/C][C]5[/C][C]5.47697583380126[/C][C]-0.476975833801265[/C][/ROW]
[ROW][C]116[/C][C]6[/C][C]5.82316855804317[/C][C]0.176831441956826[/C][/ROW]
[ROW][C]117[/C][C]6[/C][C]5.52777144337883[/C][C]0.472228556621174[/C][/ROW]
[ROW][C]118[/C][C]6[/C][C]5.35142387708561[/C][C]0.648576122914394[/C][/ROW]
[ROW][C]119[/C][C]6[/C][C]5.86440923065468[/C][C]0.135590769345325[/C][/ROW]
[ROW][C]120[/C][C]6[/C][C]4.87741852025864[/C][C]1.12258147974136[/C][/ROW]
[ROW][C]121[/C][C]5[/C][C]4.33973387786621[/C][C]0.660266122133791[/C][/ROW]
[ROW][C]122[/C][C]6[/C][C]5.86440923065468[/C][C]0.135590769345325[/C][/ROW]
[ROW][C]123[/C][C]5[/C][C]5.25116093430398[/C][C]-0.251160934303975[/C][/ROW]
[ROW][C]124[/C][C]5[/C][C]5.31520391230504[/C][C]-0.315203912305039[/C][/ROW]
[ROW][C]125[/C][C]5[/C][C]5.09505980422066[/C][C]-0.0950598042206611[/C][/ROW]
[ROW][C]126[/C][C]5[/C][C]5.26415997047134[/C][C]-0.264159970471343[/C][/ROW]
[ROW][C]127[/C][C]5[/C][C]5.16389975951163[/C][C]-0.163899759511626[/C][/ROW]
[ROW][C]128[/C][C]5[/C][C]5.14949044423937[/C][C]-0.149490444239369[/C][/ROW]
[ROW][C]129[/C][C]7[/C][C]5.91836813861818[/C][C]1.08163186138182[/C][/ROW]
[ROW][C]130[/C][C]5[/C][C]5.45252857062496[/C][C]-0.452528570624961[/C][/ROW]
[ROW][C]131[/C][C]5[/C][C]4.56532854652464[/C][C]0.43467145347536[/C][/ROW]
[ROW][C]132[/C][C]5[/C][C]6.12674867904051[/C][C]-1.12674867904051[/C][/ROW]
[ROW][C]133[/C][C]5[/C][C]6.12674867904051[/C][C]-1.12674867904051[/C][/ROW]
[ROW][C]134[/C][C]6[/C][C]5.58987689231149[/C][C]0.410123107688514[/C][/ROW]
[ROW][C]135[/C][C]6[/C][C]5.10947711697804[/C][C]0.890522883021956[/C][/ROW]
[ROW][C]136[/C][C]5[/C][C]5.31064766351008[/C][C]-0.310647663510076[/C][/ROW]
[ROW][C]137[/C][C]5[/C][C]5.28520411590891[/C][C]-0.285204115908912[/C][/ROW]
[ROW][C]138[/C][C]5[/C][C]5.25813672171644[/C][C]-0.258136721716445[/C][/ROW]
[ROW][C]139[/C][C]5[/C][C]5.03188852315846[/C][C]-0.0318885231584627[/C][/ROW]
[ROW][C]140[/C][C]5[/C][C]5.02440863649314[/C][C]-0.0244086364931425[/C][/ROW]
[ROW][C]141[/C][C]5[/C][C]5.31064766351008[/C][C]-0.310647663510076[/C][/ROW]
[ROW][C]142[/C][C]5[/C][C]5.28520411590891[/C][C]-0.285204115908912[/C][/ROW]
[ROW][C]143[/C][C]6[/C][C]6.87594064577388[/C][C]-0.875940645773884[/C][/ROW]
[ROW][C]144[/C][C]5[/C][C]5.50133633978194[/C][C]-0.501336339781935[/C][/ROW]
[ROW][C]145[/C][C]6[/C][C]6.87594064577388[/C][C]-0.875940645773884[/C][/ROW]
[ROW][C]146[/C][C]5[/C][C]4.61529292196353[/C][C]0.384707078036474[/C][/ROW]
[ROW][C]147[/C][C]5[/C][C]5.01876108293084[/C][C]-0.018761082930835[/C][/ROW]
[ROW][C]148[/C][C]5[/C][C]5.03301451890408[/C][C]-0.0330145189040803[/C][/ROW]
[ROW][C]149[/C][C]6[/C][C]5.65590843479495[/C][C]0.344091565205054[/C][/ROW]
[ROW][C]150[/C][C]6[/C][C]5.69271718281162[/C][C]0.307282817188375[/C][/ROW]
[ROW][C]151[/C][C]6[/C][C]5.72035206968055[/C][C]0.279647930319449[/C][/ROW]
[ROW][C]152[/C][C]4[/C][C]5.17083524182189[/C][C]-1.17083524182189[/C][/ROW]
[ROW][C]153[/C][C]5[/C][C]5.27469948878599[/C][C]-0.274699488785985[/C][/ROW]
[ROW][C]154[/C][C]5[/C][C]5.27469948878599[/C][C]-0.274699488785985[/C][/ROW]
[ROW][C]155[/C][C]5[/C][C]5.3474609795462[/C][C]-0.347460979546198[/C][/ROW]
[ROW][C]156[/C][C]5[/C][C]5.34281291890155[/C][C]-0.342812918901554[/C][/ROW]
[ROW][C]157[/C][C]5[/C][C]5.3474609795462[/C][C]-0.347460979546198[/C][/ROW]
[ROW][C]158[/C][C]5[/C][C]5.34281291890155[/C][C]-0.342812918901554[/C][/ROW]
[ROW][C]159[/C][C]5[/C][C]5.25240751854352[/C][C]-0.252407518543517[/C][/ROW]
[ROW][C]160[/C][C]6[/C][C]4.94650410930533[/C][C]1.05349589069467[/C][/ROW]
[ROW][C]161[/C][C]5[/C][C]5.11779159666303[/C][C]-0.117791596663026[/C][/ROW]
[ROW][C]162[/C][C]4[/C][C]5.56624386582528[/C][C]-1.56624386582528[/C][/ROW]
[ROW][C]163[/C][C]6[/C][C]5.66465364363217[/C][C]0.335346356367834[/C][/ROW]
[ROW][C]164[/C][C]5[/C][C]4.91320462074179[/C][C]0.0867953792582085[/C][/ROW]
[ROW][C]165[/C][C]5[/C][C]4.91094356415013[/C][C]0.0890564358498747[/C][/ROW]
[ROW][C]166[/C][C]5[/C][C]4.86684994778195[/C][C]0.133150052218052[/C][/ROW]
[ROW][C]167[/C][C]5[/C][C]5.1452779421423[/C][C]-0.145277942142303[/C][/ROW]
[ROW][C]168[/C][C]4[/C][C]5.20452372912732[/C][C]-1.20452372912732[/C][/ROW]
[ROW][C]169[/C][C]6[/C][C]5.47393427289856[/C][C]0.526065727101439[/C][/ROW]
[ROW][C]170[/C][C]5[/C][C]5.28515291189063[/C][C]-0.285152911890633[/C][/ROW]
[ROW][C]171[/C][C]4[/C][C]5.00899454953446[/C][C]-1.00899454953446[/C][/ROW]
[ROW][C]172[/C][C]6[/C][C]5.53861358211251[/C][C]0.461386417887489[/C][/ROW]
[ROW][C]173[/C][C]6[/C][C]5.53861358211251[/C][C]0.461386417887489[/C][/ROW]
[ROW][C]174[/C][C]6[/C][C]5.97397222700549[/C][C]0.026027772994512[/C][/ROW]
[ROW][C]175[/C][C]5[/C][C]5.4291486895191[/C][C]-0.429148689519099[/C][/ROW]
[ROW][C]176[/C][C]5[/C][C]5.48613051220268[/C][C]-0.486130512202681[/C][/ROW]
[ROW][C]177[/C][C]5[/C][C]5.4291486895191[/C][C]-0.429148689519099[/C][/ROW]
[ROW][C]178[/C][C]6[/C][C]5.53075690866197[/C][C]0.469243091338034[/C][/ROW]
[ROW][C]179[/C][C]5[/C][C]5.24099507162114[/C][C]-0.24099507162114[/C][/ROW]
[ROW][C]180[/C][C]5[/C][C]5.42644247454296[/C][C]-0.426442474542958[/C][/ROW]
[ROW][C]181[/C][C]5[/C][C]5.42644247454296[/C][C]-0.426442474542958[/C][/ROW]
[ROW][C]182[/C][C]5[/C][C]4.90385041606716[/C][C]0.0961495839328399[/C][/ROW]
[ROW][C]183[/C][C]5[/C][C]5.13230416212834[/C][C]-0.132304162128343[/C][/ROW]
[ROW][C]184[/C][C]5[/C][C]5.01370284793889[/C][C]-0.0137028479388888[/C][/ROW]
[ROW][C]185[/C][C]6[/C][C]4.99432589673085[/C][C]1.00567410326915[/C][/ROW]
[ROW][C]186[/C][C]5[/C][C]5.32615615053678[/C][C]-0.326156150536783[/C][/ROW]
[ROW][C]187[/C][C]5[/C][C]5.100261760675[/C][C]-0.100261760675003[/C][/ROW]
[ROW][C]188[/C][C]5[/C][C]5.31316034911414[/C][C]-0.313160349114144[/C][/ROW]
[ROW][C]189[/C][C]5[/C][C]4.86312061395672[/C][C]0.136879386043281[/C][/ROW]
[ROW][C]190[/C][C]5[/C][C]4.8819713547909[/C][C]0.118028645209099[/C][/ROW]
[ROW][C]191[/C][C]5[/C][C]4.98984751910268[/C][C]0.0101524808973154[/C][/ROW]
[ROW][C]192[/C][C]6[/C][C]5.482124359709[/C][C]0.517875640291002[/C][/ROW]
[ROW][C]193[/C][C]5[/C][C]4.86161122292246[/C][C]0.138388777077539[/C][/ROW]
[ROW][C]194[/C][C]5[/C][C]5.4321304185758[/C][C]-0.432130418575804[/C][/ROW]
[ROW][C]195[/C][C]5[/C][C]5.4321304185758[/C][C]-0.432130418575804[/C][/ROW]
[ROW][C]196[/C][C]5[/C][C]4.86846393401713[/C][C]0.131536065982868[/C][/ROW]
[ROW][C]197[/C][C]5[/C][C]5.38460068276785[/C][C]-0.384600682767846[/C][/ROW]
[ROW][C]198[/C][C]6[/C][C]6.16904293111294[/C][C]-0.169042931112936[/C][/ROW]
[ROW][C]199[/C][C]7[/C][C]5.89439688779991[/C][C]1.10560311220009[/C][/ROW]
[ROW][C]200[/C][C]4[/C][C]5.35296420701141[/C][C]-1.35296420701141[/C][/ROW]
[ROW][C]201[/C][C]7[/C][C]6.0492057792081[/C][C]0.950794220791904[/C][/ROW]
[ROW][C]202[/C][C]5[/C][C]5.23793300785223[/C][C]-0.237933007852229[/C][/ROW]
[ROW][C]203[/C][C]5[/C][C]5.44274969294438[/C][C]-0.442749692944382[/C][/ROW]
[ROW][C]204[/C][C]5[/C][C]5.23087162414058[/C][C]-0.230871624140577[/C][/ROW]
[ROW][C]205[/C][C]6[/C][C]5.22235057830349[/C][C]0.777649421696511[/C][/ROW]
[ROW][C]206[/C][C]7[/C][C]6.26870440372228[/C][C]0.731295596277717[/C][/ROW]
[ROW][C]207[/C][C]7[/C][C]6.26870440372228[/C][C]0.731295596277717[/C][/ROW]
[ROW][C]208[/C][C]5[/C][C]4.86754758942365[/C][C]0.132452410576346[/C][/ROW]
[ROW][C]209[/C][C]5[/C][C]5.19168951588766[/C][C]-0.191689515887656[/C][/ROW]
[ROW][C]210[/C][C]7[/C][C]6.23471741294201[/C][C]0.76528258705799[/C][/ROW]
[ROW][C]211[/C][C]6[/C][C]6.45899663202722[/C][C]-0.458996632027219[/C][/ROW]
[ROW][C]212[/C][C]6[/C][C]5.204959782345[/C][C]0.795040217655004[/C][/ROW]
[ROW][C]213[/C][C]6[/C][C]5.92371704517441[/C][C]0.0762829548255859[/C][/ROW]
[ROW][C]214[/C][C]5[/C][C]5.3959476999191[/C][C]-0.3959476999191[/C][/ROW]
[ROW][C]215[/C][C]6[/C][C]5.38047690124872[/C][C]0.619523098751281[/C][/ROW]
[ROW][C]216[/C][C]5[/C][C]5.30692377046041[/C][C]-0.306923770460406[/C][/ROW]
[ROW][C]217[/C][C]5[/C][C]5.78262335955393[/C][C]-0.782623359553926[/C][/ROW]
[ROW][C]218[/C][C]5[/C][C]5.04770196760223[/C][C]-0.0477019676022317[/C][/ROW]
[ROW][C]219[/C][C]5[/C][C]5.40452548854639[/C][C]-0.404525488546387[/C][/ROW]
[ROW][C]220[/C][C]5[/C][C]4.86984749009426[/C][C]0.130152509905737[/C][/ROW]
[ROW][C]221[/C][C]6[/C][C]5.39583978345557[/C][C]0.604160216544432[/C][/ROW]
[ROW][C]222[/C][C]5[/C][C]5.12404152451817[/C][C]-0.124041524518167[/C][/ROW]
[ROW][C]223[/C][C]5[/C][C]5.43273192883368[/C][C]-0.432731928833681[/C][/ROW]
[ROW][C]224[/C][C]6[/C][C]5.50923109013671[/C][C]0.490768909863285[/C][/ROW]
[ROW][C]225[/C][C]4[/C][C]5.43348329650065[/C][C]-1.43348329650065[/C][/ROW]
[ROW][C]226[/C][C]6[/C][C]5.6998986164941[/C][C]0.300101383505904[/C][/ROW]
[ROW][C]227[/C][C]6[/C][C]5.35719297879149[/C][C]0.642807021208509[/C][/ROW]
[ROW][C]228[/C][C]5[/C][C]5.39265563712741[/C][C]-0.392655637127413[/C][/ROW]
[ROW][C]229[/C][C]6[/C][C]5.6998986164941[/C][C]0.300101383505904[/C][/ROW]
[ROW][C]230[/C][C]5[/C][C]5.70515913577108[/C][C]-0.705159135771084[/C][/ROW]
[ROW][C]231[/C][C]7[/C][C]5.8569275206075[/C][C]1.1430724793925[/C][/ROW]
[ROW][C]232[/C][C]6[/C][C]5.66631655060143[/C][C]0.333683449398568[/C][/ROW]
[ROW][C]233[/C][C]6[/C][C]5.6210724574157[/C][C]0.378927542584298[/C][/ROW]
[ROW][C]234[/C][C]5[/C][C]5.70515913577108[/C][C]-0.705159135771084[/C][/ROW]
[ROW][C]235[/C][C]6[/C][C]4.83541013074678[/C][C]1.16458986925322[/C][/ROW]
[ROW][C]236[/C][C]6[/C][C]5.17256952709537[/C][C]0.827430472904627[/C][/ROW]
[ROW][C]237[/C][C]6[/C][C]5.17256952709537[/C][C]0.827430472904627[/C][/ROW]
[ROW][C]238[/C][C]6[/C][C]5.21747936895931[/C][C]0.782520631040687[/C][/ROW]
[ROW][C]239[/C][C]6[/C][C]5.17256952709537[/C][C]0.827430472904627[/C][/ROW]
[ROW][C]240[/C][C]6[/C][C]4.83541013074678[/C][C]1.16458986925322[/C][/ROW]
[ROW][C]241[/C][C]5[/C][C]5.16374134090496[/C][C]-0.163741340904958[/C][/ROW]
[ROW][C]242[/C][C]6[/C][C]6.23592525063946[/C][C]-0.235925250639465[/C][/ROW]
[ROW][C]243[/C][C]6[/C][C]5.13867707692336[/C][C]0.861322923076635[/C][/ROW]
[ROW][C]244[/C][C]7[/C][C]6.3030578951971[/C][C]0.696942104802896[/C][/ROW]
[ROW][C]245[/C][C]7[/C][C]6.3030578951971[/C][C]0.696942104802896[/C][/ROW]
[ROW][C]246[/C][C]6[/C][C]5.66572492325174[/C][C]0.334275076748265[/C][/ROW]
[ROW][C]247[/C][C]5[/C][C]5.16774440242729[/C][C]-0.167744402427288[/C][/ROW]
[ROW][C]248[/C][C]5[/C][C]5.08745720371136[/C][C]-0.0874572037113583[/C][/ROW]
[ROW][C]249[/C][C]6[/C][C]5.47976221704731[/C][C]0.520237782952692[/C][/ROW]
[ROW][C]250[/C][C]6[/C][C]5.66572492325174[/C][C]0.334275076748265[/C][/ROW]
[ROW][C]251[/C][C]6[/C][C]6.01340693530032[/C][C]-0.0134069353003225[/C][/ROW]
[ROW][C]252[/C][C]6[/C][C]5.57607041660087[/C][C]0.423929583399133[/C][/ROW]
[ROW][C]253[/C][C]5[/C][C]6.03923243956753[/C][C]-1.03923243956753[/C][/ROW]
[ROW][C]254[/C][C]5[/C][C]4.76189704396662[/C][C]0.23810295603338[/C][/ROW]
[ROW][C]255[/C][C]6[/C][C]5.57607041660087[/C][C]0.423929583399133[/C][/ROW]
[ROW][C]256[/C][C]5[/C][C]4.93674091666964[/C][C]0.0632590833303561[/C][/ROW]
[ROW][C]257[/C][C]5[/C][C]5.65699082685899[/C][C]-0.656990826858992[/C][/ROW]
[ROW][C]258[/C][C]5[/C][C]5.0896323693816[/C][C]-0.0896323693815988[/C][/ROW]
[ROW][C]259[/C][C]5[/C][C]4.89874082303558[/C][C]0.101259176964425[/C][/ROW]
[ROW][C]260[/C][C]7[/C][C]6.09579982865102[/C][C]0.904200171348979[/C][/ROW]
[ROW][C]261[/C][C]5[/C][C]5.5405384159635[/C][C]-0.5405384159635[/C][/ROW]
[ROW][C]262[/C][C]4[/C][C]4.78168069509845[/C][C]-0.781680695098454[/C][/ROW]
[ROW][C]263[/C][C]5[/C][C]5.66314183894519[/C][C]-0.663141838945191[/C][/ROW]
[ROW][C]264[/C][C]5[/C][C]5.50885440468831[/C][C]-0.508854404688306[/C][/ROW]
[ROW][C]265[/C][C]5[/C][C]6.23844627326153[/C][C]-1.23844627326153[/C][/ROW]
[ROW][C]266[/C][C]7[/C][C]6.2215615356405[/C][C]0.778438464359498[/C][/ROW]
[ROW][C]267[/C][C]4[/C][C]5.25717307399452[/C][C]-1.25717307399452[/C][/ROW]
[ROW][C]268[/C][C]8[/C][C]6.61996506342609[/C][C]1.38003493657391[/C][/ROW]
[ROW][C]269[/C][C]6[/C][C]5.54838404077838[/C][C]0.451615959221625[/C][/ROW]
[ROW][C]270[/C][C]6[/C][C]6.30207908857006[/C][C]-0.302079088570059[/C][/ROW]
[ROW][C]271[/C][C]6[/C][C]5.81301209409707[/C][C]0.186987905902926[/C][/ROW]
[ROW][C]272[/C][C]6[/C][C]6.30207908857006[/C][C]-0.302079088570059[/C][/ROW]
[ROW][C]273[/C][C]5[/C][C]5.8100253705574[/C][C]-0.810025370557401[/C][/ROW]
[ROW][C]274[/C][C]5[/C][C]5.2477370492123[/C][C]-0.2477370492123[/C][/ROW]
[ROW][C]275[/C][C]5[/C][C]5.13639418762699[/C][C]-0.13639418762699[/C][/ROW]
[ROW][C]276[/C][C]6[/C][C]5.81301209409707[/C][C]0.186987905902926[/C][/ROW]
[ROW][C]277[/C][C]6[/C][C]5.54838404077838[/C][C]0.451615959221625[/C][/ROW]
[ROW][C]278[/C][C]6[/C][C]6.30207908857006[/C][C]-0.302079088570059[/C][/ROW]
[ROW][C]279[/C][C]8[/C][C]6.88718693890635[/C][C]1.11281306109365[/C][/ROW]
[ROW][C]280[/C][C]7[/C][C]5.92164041788137[/C][C]1.07835958211863[/C][/ROW]
[ROW][C]281[/C][C]6[/C][C]5.99589992316292[/C][C]0.00410007683708063[/C][/ROW]
[ROW][C]282[/C][C]7[/C][C]5.57587871007934[/C][C]1.42412128992066[/C][/ROW]
[ROW][C]283[/C][C]5[/C][C]5.24389962608226[/C][C]-0.243899626082259[/C][/ROW]
[ROW][C]284[/C][C]7[/C][C]5.92164041788137[/C][C]1.07835958211863[/C][/ROW]
[ROW][C]285[/C][C]5[/C][C]5.6376753090274[/C][C]-0.637675309027401[/C][/ROW]
[ROW][C]286[/C][C]5[/C][C]5.6376753090274[/C][C]-0.637675309027401[/C][/ROW]
[ROW][C]287[/C][C]6[/C][C]5.98070534357982[/C][C]0.0192946564201828[/C][/ROW]
[ROW][C]288[/C][C]6[/C][C]5.81785197051566[/C][C]0.18214802948434[/C][/ROW]
[ROW][C]289[/C][C]7[/C][C]5.97774183806298[/C][C]1.02225816193702[/C][/ROW]
[ROW][C]290[/C][C]5[/C][C]5.51668895829705[/C][C]-0.51668895829705[/C][/ROW]
[ROW][C]291[/C][C]7[/C][C]5.97774183806298[/C][C]1.02225816193702[/C][/ROW]
[ROW][C]292[/C][C]5[/C][C]5.99233589636885[/C][C]-0.99233589636885[/C][/ROW]
[ROW][C]293[/C][C]6[/C][C]5.82268799600977[/C][C]0.177312003990227[/C][/ROW]
[ROW][C]294[/C][C]6[/C][C]5.70572339977854[/C][C]0.294276600221457[/C][/ROW]
[ROW][C]295[/C][C]6[/C][C]5.94926906464597[/C][C]0.0507309353540265[/C][/ROW]
[ROW][C]296[/C][C]5[/C][C]5.62562592415375[/C][C]-0.625625924153755[/C][/ROW]
[ROW][C]297[/C][C]5[/C][C]5.21629208506324[/C][C]-0.216292085063239[/C][/ROW]
[ROW][C]298[/C][C]5[/C][C]5.41266424719917[/C][C]-0.412664247199172[/C][/ROW]
[ROW][C]299[/C][C]5[/C][C]5.46458293152908[/C][C]-0.464582931529075[/C][/ROW]
[ROW][C]300[/C][C]5[/C][C]5.32947559202704[/C][C]-0.32947559202704[/C][/ROW]
[ROW][C]301[/C][C]6[/C][C]5.80131484499825[/C][C]0.198685155001751[/C][/ROW]
[ROW][C]302[/C][C]6[/C][C]6.17956248646953[/C][C]-0.179562486469533[/C][/ROW]
[ROW][C]303[/C][C]5[/C][C]5.5492913722567[/C][C]-0.549291372256701[/C][/ROW]
[ROW][C]304[/C][C]5[/C][C]5.1604158057364[/C][C]-0.160415805736395[/C][/ROW]
[ROW][C]305[/C][C]5[/C][C]4.70152109176525[/C][C]0.298478908234749[/C][/ROW]
[ROW][C]306[/C][C]6[/C][C]5.47151083788815[/C][C]0.528489162111848[/C][/ROW]
[ROW][C]307[/C][C]5[/C][C]5.05194840166276[/C][C]-0.0519484016627566[/C][/ROW]
[ROW][C]308[/C][C]6[/C][C]5.58249154872647[/C][C]0.417508451273535[/C][/ROW]
[ROW][C]309[/C][C]6[/C][C]5.56103529650092[/C][C]0.438964703499084[/C][/ROW]
[ROW][C]310[/C][C]6[/C][C]5.50784817050012[/C][C]0.492151829499878[/C][/ROW]
[ROW][C]311[/C][C]6[/C][C]5.47151083788815[/C][C]0.528489162111848[/C][/ROW]
[ROW][C]312[/C][C]6[/C][C]5.02551393017078[/C][C]0.974486069829216[/C][/ROW]
[ROW][C]313[/C][C]6[/C][C]5.2581765329747[/C][C]0.741823467025295[/C][/ROW]
[ROW][C]314[/C][C]5[/C][C]5.0211780913639[/C][C]-0.0211780913639015[/C][/ROW]
[ROW][C]315[/C][C]5[/C][C]5.86326263429738[/C][C]-0.863262634297383[/C][/ROW]
[ROW][C]316[/C][C]6[/C][C]5.88886916525022[/C][C]0.11113083474978[/C][/ROW]
[ROW][C]317[/C][C]5[/C][C]5.53312466205122[/C][C]-0.533124662051223[/C][/ROW]
[ROW][C]318[/C][C]6[/C][C]5.54207658138721[/C][C]0.457923418612787[/C][/ROW]
[ROW][C]319[/C][C]7[/C][C]5.93249358896085[/C][C]1.06750641103915[/C][/ROW]
[ROW][C]320[/C][C]6[/C][C]5.54207658138721[/C][C]0.457923418612787[/C][/ROW]
[ROW][C]321[/C][C]7[/C][C]5.93249358896085[/C][C]1.06750641103915[/C][/ROW]
[ROW][C]322[/C][C]5[/C][C]5.30764714178637[/C][C]-0.307647141786374[/C][/ROW]
[ROW][C]323[/C][C]5[/C][C]5.4226043367205[/C][C]-0.422604336720499[/C][/ROW]
[ROW][C]324[/C][C]6[/C][C]5.38218807569728[/C][C]0.617811924302724[/C][/ROW]
[ROW][C]325[/C][C]6[/C][C]5.63073153465955[/C][C]0.369268465340454[/C][/ROW]
[ROW][C]326[/C][C]6[/C][C]5.63073153465955[/C][C]0.369268465340454[/C][/ROW]
[ROW][C]327[/C][C]7[/C][C]6.22341790653484[/C][C]0.776582093465157[/C][/ROW]
[ROW][C]328[/C][C]5[/C][C]6.34806750411712[/C][C]-1.34806750411712[/C][/ROW]
[ROW][C]329[/C][C]6[/C][C]6.06972996148757[/C][C]-0.0697299614875733[/C][/ROW]
[ROW][C]330[/C][C]5[/C][C]5.73555206088024[/C][C]-0.735552060880243[/C][/ROW]
[ROW][C]331[/C][C]6[/C][C]6.42805697496263[/C][C]-0.42805697496263[/C][/ROW]
[ROW][C]332[/C][C]6[/C][C]6.42805697496263[/C][C]-0.42805697496263[/C][/ROW]
[ROW][C]333[/C][C]6[/C][C]4.96450792286578[/C][C]1.03549207713422[/C][/ROW]
[ROW][C]334[/C][C]5[/C][C]5.87201465217113[/C][C]-0.872014652171125[/C][/ROW]
[ROW][C]335[/C][C]7[/C][C]6.15278554595857[/C][C]0.84721445404143[/C][/ROW]
[ROW][C]336[/C][C]7[/C][C]6.37555850913247[/C][C]0.624441490867529[/C][/ROW]
[ROW][C]337[/C][C]6[/C][C]6.52193310394441[/C][C]-0.52193310394441[/C][/ROW]
[ROW][C]338[/C][C]5[/C][C]5.66716994353816[/C][C]-0.667169943538157[/C][/ROW]
[ROW][C]339[/C][C]6[/C][C]6.19948758194439[/C][C]-0.199487581944387[/C][/ROW]
[ROW][C]340[/C][C]7[/C][C]6.39386079551792[/C][C]0.60613920448208[/C][/ROW]
[ROW][C]341[/C][C]6[/C][C]6.10398446429995[/C][C]-0.103984464299948[/C][/ROW]
[ROW][C]342[/C][C]6[/C][C]6.37368060166453[/C][C]-0.373680601664534[/C][/ROW]
[ROW][C]343[/C][C]6[/C][C]5.86405142042136[/C][C]0.135948579578637[/C][/ROW]
[ROW][C]344[/C][C]6[/C][C]5.86405142042136[/C][C]0.135948579578637[/C][/ROW]
[ROW][C]345[/C][C]6[/C][C]6.02870355342273[/C][C]-0.0287035534227268[/C][/ROW]
[ROW][C]346[/C][C]5[/C][C]5.47716816283681[/C][C]-0.477168162836809[/C][/ROW]
[ROW][C]347[/C][C]7[/C][C]6.13473470494869[/C][C]0.865265295051305[/C][/ROW]
[ROW][C]348[/C][C]6[/C][C]6.71474261511553[/C][C]-0.714742615115535[/C][/ROW]
[ROW][C]349[/C][C]6[/C][C]5.75793793655149[/C][C]0.242062063448508[/C][/ROW]
[ROW][C]350[/C][C]6[/C][C]5.49464543143391[/C][C]0.505354568566085[/C][/ROW]
[ROW][C]351[/C][C]6[/C][C]5.82289192264486[/C][C]0.177108077355144[/C][/ROW]
[ROW][C]352[/C][C]6[/C][C]5.47618985153176[/C][C]0.523810148468238[/C][/ROW]
[ROW][C]353[/C][C]5[/C][C]5.43971403134027[/C][C]-0.439714031340269[/C][/ROW]
[ROW][C]354[/C][C]5[/C][C]6.56166500439808[/C][C]-1.56166500439808[/C][/ROW]
[ROW][C]355[/C][C]6[/C][C]5.69454977017807[/C][C]0.305450229821926[/C][/ROW]
[ROW][C]356[/C][C]6[/C][C]6.23054566768038[/C][C]-0.230545667680383[/C][/ROW]
[ROW][C]357[/C][C]5[/C][C]6.24656008634396[/C][C]-1.24656008634396[/C][/ROW]
[ROW][C]358[/C][C]7[/C][C]6.24096029427678[/C][C]0.759039705723218[/C][/ROW]
[ROW][C]359[/C][C]7[/C][C]6.04797210332055[/C][C]0.952027896679446[/C][/ROW]
[ROW][C]360[/C][C]6[/C][C]5.8229289315695[/C][C]0.177071068430503[/C][/ROW]
[ROW][C]361[/C][C]5[/C][C]5.05628891215407[/C][C]-0.0562889121540746[/C][/ROW]
[ROW][C]362[/C][C]6[/C][C]5.73279989841666[/C][C]0.267200101583336[/C][/ROW]
[ROW][C]363[/C][C]5[/C][C]5.58748547621314[/C][C]-0.587485476213143[/C][/ROW]
[ROW][C]364[/C][C]5[/C][C]6.09727244436379[/C][C]-1.09727244436379[/C][/ROW]
[ROW][C]365[/C][C]7[/C][C]5.71748556485685[/C][C]1.28251443514315[/C][/ROW]
[ROW][C]366[/C][C]6[/C][C]6.44984498424049[/C][C]-0.449844984240487[/C][/ROW]
[ROW][C]367[/C][C]7[/C][C]5.71748556485685[/C][C]1.28251443514315[/C][/ROW]
[ROW][C]368[/C][C]5[/C][C]5.32329134685186[/C][C]-0.323291346851856[/C][/ROW]
[ROW][C]369[/C][C]5[/C][C]5.38714727320901[/C][C]-0.387147273209012[/C][/ROW]
[ROW][C]370[/C][C]7[/C][C]6.73705686837893[/C][C]0.262943131621073[/C][/ROW]
[ROW][C]371[/C][C]5[/C][C]5.35336560049374[/C][C]-0.353365600493736[/C][/ROW]
[ROW][C]372[/C][C]6[/C][C]5.55676156801859[/C][C]0.443238431981409[/C][/ROW]
[ROW][C]373[/C][C]6[/C][C]6.17960701330301[/C][C]-0.179607013303009[/C][/ROW]
[ROW][C]374[/C][C]5[/C][C]5.08869253534475[/C][C]-0.088692535344753[/C][/ROW]
[ROW][C]375[/C][C]6[/C][C]6.2812881617115[/C][C]-0.281288161711504[/C][/ROW]
[ROW][C]376[/C][C]7[/C][C]6.32030703914454[/C][C]0.679692960855461[/C][/ROW]
[ROW][C]377[/C][C]6[/C][C]6.34257276191458[/C][C]-0.342572761914578[/C][/ROW]
[ROW][C]378[/C][C]7[/C][C]6.73705686837893[/C][C]0.262943131621073[/C][/ROW]
[ROW][C]379[/C][C]6[/C][C]6.80122505961841[/C][C]-0.801225059618409[/C][/ROW]
[ROW][C]380[/C][C]6[/C][C]5.82917035871274[/C][C]0.170829641287257[/C][/ROW]
[ROW][C]381[/C][C]6[/C][C]5.71979175260126[/C][C]0.280208247398743[/C][/ROW]
[ROW][C]382[/C][C]6[/C][C]6.01796654770873[/C][C]-0.0179665477087315[/C][/ROW]
[ROW][C]383[/C][C]6[/C][C]5.71979175260126[/C][C]0.280208247398743[/C][/ROW]
[ROW][C]384[/C][C]6[/C][C]5.71979175260126[/C][C]0.280208247398743[/C][/ROW]
[ROW][C]385[/C][C]5[/C][C]5.29039853479304[/C][C]-0.290398534793039[/C][/ROW]
[ROW][C]386[/C][C]6[/C][C]5.46420820609138[/C][C]0.535791793908616[/C][/ROW]
[ROW][C]387[/C][C]6[/C][C]5.30649368080847[/C][C]0.693506319191526[/C][/ROW]
[ROW][C]388[/C][C]6[/C][C]5.33034079511805[/C][C]0.669659204881954[/C][/ROW]
[ROW][C]389[/C][C]6[/C][C]5.36235239528633[/C][C]0.63764760471367[/C][/ROW]
[ROW][C]390[/C][C]7[/C][C]5.80365474611043[/C][C]1.19634525388957[/C][/ROW]
[ROW][C]391[/C][C]8[/C][C]5.88947619459251[/C][C]2.11052380540749[/C][/ROW]
[ROW][C]392[/C][C]6[/C][C]6.01796654770873[/C][C]-0.0179665477087315[/C][/ROW]
[ROW][C]393[/C][C]5[/C][C]5.52488901013861[/C][C]-0.52488901013861[/C][/ROW]
[ROW][C]394[/C][C]5[/C][C]4.64118567873925[/C][C]0.358814321260755[/C][/ROW]
[ROW][C]395[/C][C]5[/C][C]5.67994107741961[/C][C]-0.679941077419607[/C][/ROW]
[ROW][C]396[/C][C]7[/C][C]6.70915190416846[/C][C]0.290848095831539[/C][/ROW]
[ROW][C]397[/C][C]5[/C][C]5.05058587218885[/C][C]-0.0505858721888481[/C][/ROW]
[ROW][C]398[/C][C]6[/C][C]5.8745360954688[/C][C]0.125463904531205[/C][/ROW]
[ROW][C]399[/C][C]6[/C][C]5.8745360954688[/C][C]0.125463904531205[/C][/ROW]
[ROW][C]400[/C][C]5[/C][C]5.16886950670578[/C][C]-0.16886950670578[/C][/ROW]
[ROW][C]401[/C][C]5[/C][C]5.05058587218885[/C][C]-0.0505858721888481[/C][/ROW]
[ROW][C]402[/C][C]6[/C][C]5.97994621964956[/C][C]0.0200537803504359[/C][/ROW]
[ROW][C]403[/C][C]6[/C][C]5.86190643499913[/C][C]0.138093565000875[/C][/ROW]
[ROW][C]404[/C][C]6[/C][C]5.78436776684894[/C][C]0.215632233151055[/C][/ROW]
[ROW][C]405[/C][C]5[/C][C]5.26799340606441[/C][C]-0.267993406064406[/C][/ROW]
[ROW][C]406[/C][C]6[/C][C]5.88351353344889[/C][C]0.116486466551111[/C][/ROW]
[ROW][C]407[/C][C]6[/C][C]5.99722949043057[/C][C]0.00277050956943443[/C][/ROW]
[ROW][C]408[/C][C]7[/C][C]6.09425886641173[/C][C]0.905741133588265[/C][/ROW]
[ROW][C]409[/C][C]6[/C][C]6.19919734047508[/C][C]-0.199197340475078[/C][/ROW]
[ROW][C]410[/C][C]4[/C][C]5.75304160225854[/C][C]-1.75304160225854[/C][/ROW]
[ROW][C]411[/C][C]6[/C][C]5.35398034308889[/C][C]0.64601965691111[/C][/ROW]
[ROW][C]412[/C][C]5[/C][C]5.36304711077226[/C][C]-0.363047110772258[/C][/ROW]
[ROW][C]413[/C][C]5[/C][C]4.9182088410853[/C][C]0.0817911589146957[/C][/ROW]
[ROW][C]414[/C][C]7[/C][C]6.40362604675379[/C][C]0.596373953246212[/C][/ROW]
[ROW][C]415[/C][C]5[/C][C]5.06973063082281[/C][C]-0.0697306308228087[/C][/ROW]
[ROW][C]416[/C][C]5[/C][C]5.04586648701347[/C][C]-0.0458664870134697[/C][/ROW]
[ROW][C]417[/C][C]6[/C][C]6.17414482813709[/C][C]-0.17414482813709[/C][/ROW]
[ROW][C]418[/C][C]5[/C][C]5.20955301753471[/C][C]-0.209553017534712[/C][/ROW]
[ROW][C]419[/C][C]6[/C][C]6.10955773796284[/C][C]-0.109557737962837[/C][/ROW]
[ROW][C]420[/C][C]5[/C][C]5.33741502583782[/C][C]-0.337415025837815[/C][/ROW]
[ROW][C]421[/C][C]7[/C][C]6.14026477803892[/C][C]0.859735221961084[/C][/ROW]
[ROW][C]422[/C][C]7[/C][C]5.93345919073683[/C][C]1.06654080926317[/C][/ROW]
[ROW][C]423[/C][C]5[/C][C]5.22995111016899[/C][C]-0.229951110168992[/C][/ROW]
[ROW][C]424[/C][C]7[/C][C]6.45634684959367[/C][C]0.543653150406331[/C][/ROW]
[ROW][C]425[/C][C]5[/C][C]5.22995111016899[/C][C]-0.229951110168992[/C][/ROW]
[ROW][C]426[/C][C]7[/C][C]5.93345919073683[/C][C]1.06654080926317[/C][/ROW]
[ROW][C]427[/C][C]6[/C][C]5.7240482099313[/C][C]0.275951790068701[/C][/ROW]
[ROW][C]428[/C][C]6[/C][C]5.61177142982576[/C][C]0.388228570174244[/C][/ROW]
[ROW][C]429[/C][C]5[/C][C]5.4211120791978[/C][C]-0.421112079197799[/C][/ROW]
[ROW][C]430[/C][C]6[/C][C]5.56572726538879[/C][C]0.43427273461121[/C][/ROW]
[ROW][C]431[/C][C]7[/C][C]6.45634684959367[/C][C]0.543653150406331[/C][/ROW]
[ROW][C]432[/C][C]5[/C][C]5.09301866923841[/C][C]-0.0930186692384117[/C][/ROW]
[ROW][C]433[/C][C]6[/C][C]6.75309185290879[/C][C]-0.75309185290879[/C][/ROW]
[ROW][C]434[/C][C]5[/C][C]5.70288488129791[/C][C]-0.702884881297915[/C][/ROW]
[ROW][C]435[/C][C]6[/C][C]5.80301732842504[/C][C]0.196982671574965[/C][/ROW]
[ROW][C]436[/C][C]5[/C][C]5.70288488129791[/C][C]-0.702884881297915[/C][/ROW]
[ROW][C]437[/C][C]6[/C][C]5.39918805425027[/C][C]0.600811945749732[/C][/ROW]
[ROW][C]438[/C][C]6[/C][C]6.1050317463992[/C][C]-0.105031746399196[/C][/ROW]
[ROW][C]439[/C][C]6[/C][C]5.80301732842504[/C][C]0.196982671574965[/C][/ROW]
[ROW][C]440[/C][C]5[/C][C]5.1450929529146[/C][C]-0.145092952914602[/C][/ROW]
[ROW][C]441[/C][C]8[/C][C]6.00478924014025[/C][C]1.99521075985975[/C][/ROW]
[ROW][C]442[/C][C]6[/C][C]6.28752618722659[/C][C]-0.287526187226586[/C][/ROW]
[ROW][C]443[/C][C]7[/C][C]6.13539283445491[/C][C]0.864607165545087[/C][/ROW]
[ROW][C]444[/C][C]7[/C][C]6.26458097917844[/C][C]0.735419020821563[/C][/ROW]
[ROW][C]445[/C][C]7[/C][C]6.31905161487361[/C][C]0.680948385126393[/C][/ROW]
[ROW][C]446[/C][C]6[/C][C]5.57607246067754[/C][C]0.423927539322462[/C][/ROW]
[ROW][C]447[/C][C]5[/C][C]6.01825954734017[/C][C]-1.01825954734017[/C][/ROW]
[ROW][C]448[/C][C]5[/C][C]6.14392402782838[/C][C]-1.14392402782838[/C][/ROW]
[ROW][C]449[/C][C]6[/C][C]5.66768095668006[/C][C]0.332319043319939[/C][/ROW]
[ROW][C]450[/C][C]6[/C][C]6.05459471367394[/C][C]-0.0545947136739405[/C][/ROW]
[ROW][C]451[/C][C]6[/C][C]6.05459471367394[/C][C]-0.0545947136739405[/C][/ROW]
[ROW][C]452[/C][C]6[/C][C]5.24374814996248[/C][C]0.756251850037522[/C][/ROW]
[ROW][C]453[/C][C]6[/C][C]5.56208673206965[/C][C]0.43791326793035[/C][/ROW]
[ROW][C]454[/C][C]7[/C][C]6.23985067410877[/C][C]0.760149325891226[/C][/ROW]
[ROW][C]455[/C][C]5[/C][C]5.91705834424485[/C][C]-0.917058344244845[/C][/ROW]
[ROW][C]456[/C][C]8[/C][C]6.67889424721087[/C][C]1.32110575278913[/C][/ROW]
[ROW][C]457[/C][C]5[/C][C]5.59550974986331[/C][C]-0.595509749863309[/C][/ROW]
[ROW][C]458[/C][C]5[/C][C]5.34886169627836[/C][C]-0.348861696278356[/C][/ROW]
[ROW][C]459[/C][C]7[/C][C]6.23985067410877[/C][C]0.760149325891226[/C][/ROW]
[ROW][C]460[/C][C]3[/C][C]5.21089741903226[/C][C]-2.21089741903225[/C][/ROW]
[ROW][C]461[/C][C]6[/C][C]6.06778136161045[/C][C]-0.0677813616104491[/C][/ROW]
[ROW][C]462[/C][C]5[/C][C]5.35931791290108[/C][C]-0.359317912901081[/C][/ROW]
[ROW][C]463[/C][C]5[/C][C]6.44230884664065[/C][C]-1.44230884664065[/C][/ROW]
[ROW][C]464[/C][C]5[/C][C]4.44099904735725[/C][C]0.559000952642749[/C][/ROW]
[ROW][C]465[/C][C]6[/C][C]5.80405231696191[/C][C]0.195947683038088[/C][/ROW]
[ROW][C]466[/C][C]5[/C][C]5.96587896931103[/C][C]-0.965878969311031[/C][/ROW]
[ROW][C]467[/C][C]6[/C][C]6.1842107992586[/C][C]-0.184210799258602[/C][/ROW]
[ROW][C]468[/C][C]6[/C][C]6.97925318150287[/C][C]-0.979253181502869[/C][/ROW]
[ROW][C]469[/C][C]6[/C][C]5.58342584320188[/C][C]0.416574156798116[/C][/ROW]
[ROW][C]470[/C][C]5[/C][C]5.38942255170051[/C][C]-0.389422551700511[/C][/ROW]
[ROW][C]471[/C][C]5[/C][C]6.11969328152701[/C][C]-1.11969328152701[/C][/ROW]
[ROW][C]472[/C][C]6[/C][C]6.03853165282528[/C][C]-0.0385316528252824[/C][/ROW]
[ROW][C]473[/C][C]6[/C][C]6.06344026007549[/C][C]-0.0634402600754855[/C][/ROW]
[ROW][C]474[/C][C]5[/C][C]6.10516800853445[/C][C]-1.10516800853445[/C][/ROW]
[ROW][C]475[/C][C]6[/C][C]5.88571020570097[/C][C]0.114289794299027[/C][/ROW]
[ROW][C]476[/C][C]5[/C][C]5.62586649394183[/C][C]-0.625866493941834[/C][/ROW]
[ROW][C]477[/C][C]5[/C][C]5.85763352521176[/C][C]-0.857633525211764[/C][/ROW]
[ROW][C]478[/C][C]6[/C][C]6.52139413277307[/C][C]-0.521394132773068[/C][/ROW]
[ROW][C]479[/C][C]5[/C][C]5.62586649394183[/C][C]-0.625866493941834[/C][/ROW]
[ROW][C]480[/C][C]6[/C][C]5.6939589386827[/C][C]0.306041061317299[/C][/ROW]
[ROW][C]481[/C][C]5[/C][C]5.92188878130343[/C][C]-0.921888781303431[/C][/ROW]
[ROW][C]482[/C][C]8[/C][C]6.49749605656742[/C][C]1.50250394343258[/C][/ROW]
[ROW][C]483[/C][C]5[/C][C]5.80644149832115[/C][C]-0.80644149832115[/C][/ROW]
[ROW][C]484[/C][C]5[/C][C]5.80906882899156[/C][C]-0.809068828991558[/C][/ROW]
[ROW][C]485[/C][C]6[/C][C]6.72908557401824[/C][C]-0.729085574018236[/C][/ROW]
[ROW][C]486[/C][C]5[/C][C]5.55168622919863[/C][C]-0.551686229198633[/C][/ROW]
[ROW][C]487[/C][C]5[/C][C]5.55168622919863[/C][C]-0.551686229198633[/C][/ROW]
[ROW][C]488[/C][C]6[/C][C]5.58302827922829[/C][C]0.416971720771708[/C][/ROW]
[ROW][C]489[/C][C]7[/C][C]6.24363978289102[/C][C]0.756360217108985[/C][/ROW]
[ROW][C]490[/C][C]6[/C][C]5.90697805449239[/C][C]0.0930219455076139[/C][/ROW]
[ROW][C]491[/C][C]6[/C][C]5.57227847275184[/C][C]0.427721527248158[/C][/ROW]
[ROW][C]492[/C][C]7[/C][C]6.81261616621022[/C][C]0.187383833789776[/C][/ROW]
[ROW][C]493[/C][C]7[/C][C]6.87844473818588[/C][C]0.121555261814121[/C][/ROW]
[ROW][C]494[/C][C]6[/C][C]5.79979835929665[/C][C]0.200201640703351[/C][/ROW]
[ROW][C]495[/C][C]6[/C][C]6.05597185145051[/C][C]-0.0559718514505077[/C][/ROW]
[ROW][C]496[/C][C]8[/C][C]6.22998408274332[/C][C]1.77001591725668[/C][/ROW]
[ROW][C]497[/C][C]6[/C][C]5.25000747595613[/C][C]0.749992524043869[/C][/ROW]
[ROW][C]498[/C][C]5[/C][C]5.80363521873346[/C][C]-0.803635218733462[/C][/ROW]
[ROW][C]499[/C][C]8[/C][C]6.22998408274332[/C][C]1.77001591725668[/C][/ROW]
[ROW][C]500[/C][C]6[/C][C]5.79979835929665[/C][C]0.200201640703351[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=154359&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154359&T=4

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	InterpolationForecast	ResidualsPrediction Error
1	5	5.25498018257426	-0.254980182574256
2	5	5.18335551513157	-0.183355515131565
3	5	5.29722442120452	-0.297224421204518
4	6	5.74471407801968	0.25528592198032
5	5	5.25498018257426	-0.254980182574261
6	5	5.27457259815486	-0.274572598154864
7	5	5.22730171155379	-0.227301711553787
8	7	5.51142939112709	1.48857060887291
9	7	5.51560605592649	1.48439394407351
10	5	5.48287333471363	-0.482873334713629
11	5	5.06104541728524	-0.0610454172852416
12	5	5.48287333471363	-0.482873334713628
13	5	5.18840398736617	-0.188403987366167
14	5	5.62667074110239	-0.626670741102386
15	5	5.01284180199337	-0.0128418019933702
16	5	5.0218803346148	-0.021880334614797
17	7	5.6476358655723	1.3523641344277
18	5	5.25828954240564	-0.25828954240564
19	4	5.19452309346482	-1.19452309346482
20	6	5.2674124637805	0.7325875362195
21	6	5.52297607802911	0.47702392197089
22	5	5.41649422811869	-0.416494228118689
23	5	5.63611530661604	-0.636115306616036
24	5	5.34305024606356	-0.343050246063558
25	6	5.57095068839656	0.42904931160344
26	5	5.40982645125729	-0.409826451257291
27	5	5.57272707174191	-0.572727071741909
28	5	5.63611530661604	-0.636115306616036
29	5	5.21648236130713	-0.216482361307131
30	6	5.5553759023823	0.444624097617699
31	5	5.18069955415863	-0.180699554158634
32	6	5.59732673210367	0.402673267896326
33	5	5.14709388556783	-0.147093885567827
34	6	5.17110789307484	0.828892106925163
35	5	5.16258577495578	-0.162585774955779
36	6	5.48666961523455	0.513330384765452
37	6	5.82688244606558	0.173117553934419
38	7	5.71948885495713	1.28051114504287
39	4	4.64115769444474	-0.641157694444738
40	5	5.58427840605316	-0.584278406053156
41	5	5.58427840605316	-0.584278406053156
42	4	5.21544296840559	-1.21544296840559
43	6	5.71076139056152	0.289238609438483
44	5	5.90121151936173	-0.901211519361726
45	5	5.34669795948174	-0.346697959481744
46	4	6.08331666638142	-2.08331666638142
47	5	4.46717938342855	0.532820616571453
48	5	5.4959528618475	-0.495952861847497
49	5	5.38846603664718	-0.388466036647178
50	5	4.96894615792318	0.0310538420768164
51	5	5.35332721860626	-0.353327218606263
52	6	5.47509160568773	0.524908394312267
53	6	5.49972758808198	0.500272411918015
54	5	5.17009503927023	-0.17009503927023
55	6	5.54127702290376	0.458722977096239
56	5	5.36874863833388	-0.368748638333879
57	5	5.6941630698145	-0.694163069814495
58	5	5.15543066938506	-0.155430669385061
59	5	5.43446395293341	-0.434463952933408
60	6	5.32537079575572	0.674629204244278
61	5	5.37804453445588	-0.378044534455878
62	5	4.70648160662765	0.293518393372348
63	7	5.41463382408722	1.58536617591278
64	5	5.20116851873481	-0.201168518734808
65	5	5.65801785311165	-0.658017853111646
66	5	5.65801785311165	-0.658017853111646
67	5	5.43111842847133	-0.431118428471327
68	5	5.62634583573655	-0.626345835736549
69	5	5.92226478101408	-0.922264781014082
70	6	5.87769095660948	0.122309043390521
71	6	5.38396774213162	0.616032257868382
72	5	4.90010495237249	0.0998950476275105
73	5	4.90094541140196	0.0990545885980365
74	4	5.09981343719322	-1.09981343719322
75	5	5.55628653329786	-0.556286533297864
76	5	5.63907118294834	-0.639071182948335
77	5	5.63907118294834	-0.639071182948335
78	6	5.50990086586231	0.490099134137691
79	5	5.05703443858266	-0.0570344385826579
80	4	5.16142207698528	-1.16142207698528
81	5	5.30785020262086	-0.307850202620856
82	5	5.02932565677921	-0.0293256567792091
83	5	4.95938121571356	0.0406187842864423
84	5	5.03629378725987	-0.0362937872598658
85	6	5.59653358559096	0.40346641440904
86	5	5.51543636476995	-0.515436364769951
87	6	5.83796309351165	0.162036906488355
88	5	5.47887115854746	-0.478871158547461
89	5	5.49667912606578	-0.496679126065779
90	5	5.16037934327007	-0.160379343270069
91	5	4.97496213638683	0.0250378636131711
92	6	5.83796309351165	0.162036906488355
93	5	5.82828586648162	-0.828285866481618
94	5	5.47887115854746	-0.478871158547461
95	4	4.85396589776099	-0.853965897760986
96	6	5.79536629998231	0.204633700017687
97	5	5.55174332867224	-0.551743328672238
98	5	5.31604837278671	-0.316048372786712
99	5	5.25617525448152	-0.256175254481518
100	6	5.27499429280394	0.725005707196056
101	6	5.44998788992372	0.550012110076285
102	6	5.68917211757566	0.310827882424336
103	6	5.27499429280394	0.725005707196056
104	5	5.10359146759339	-0.103591467593394
105	5	5.26708397567208	-0.267083975672083
106	5	5.10359146759339	-0.103591467593394
107	5	5.02285008591647	-0.022850085916468
108	5	5.0010393413894	-0.0010393413893975
109	6	5.37762359776054	0.622376402239459
110	5	4.47178543078731	0.528214569212695
111	5	5.47697583380126	-0.476975833801265
112	5	5.21733111841044	-0.217331118410438
113	5	5.22655970501218	-0.226559705012178
114	6	5.77467722917965	0.225322770820351
115	5	5.47697583380126	-0.476975833801265
116	6	5.82316855804317	0.176831441956826
117	6	5.52777144337883	0.472228556621174
118	6	5.35142387708561	0.648576122914394
119	6	5.86440923065468	0.135590769345325
120	6	4.87741852025864	1.12258147974136
121	5	4.33973387786621	0.660266122133791
122	6	5.86440923065468	0.135590769345325
123	5	5.25116093430398	-0.251160934303975
124	5	5.31520391230504	-0.315203912305039
125	5	5.09505980422066	-0.0950598042206611
126	5	5.26415997047134	-0.264159970471343
127	5	5.16389975951163	-0.163899759511626
128	5	5.14949044423937	-0.149490444239369
129	7	5.91836813861818	1.08163186138182
130	5	5.45252857062496	-0.452528570624961
131	5	4.56532854652464	0.43467145347536
132	5	6.12674867904051	-1.12674867904051
133	5	6.12674867904051	-1.12674867904051
134	6	5.58987689231149	0.410123107688514
135	6	5.10947711697804	0.890522883021956
136	5	5.31064766351008	-0.310647663510076
137	5	5.28520411590891	-0.285204115908912
138	5	5.25813672171644	-0.258136721716445
139	5	5.03188852315846	-0.0318885231584627
140	5	5.02440863649314	-0.0244086364931425
141	5	5.31064766351008	-0.310647663510076
142	5	5.28520411590891	-0.285204115908912
143	6	6.87594064577388	-0.875940645773884
144	5	5.50133633978194	-0.501336339781935
145	6	6.87594064577388	-0.875940645773884
146	5	4.61529292196353	0.384707078036474
147	5	5.01876108293084	-0.018761082930835
148	5	5.03301451890408	-0.0330145189040803
149	6	5.65590843479495	0.344091565205054
150	6	5.69271718281162	0.307282817188375
151	6	5.72035206968055	0.279647930319449
152	4	5.17083524182189	-1.17083524182189
153	5	5.27469948878599	-0.274699488785985
154	5	5.27469948878599	-0.274699488785985
155	5	5.3474609795462	-0.347460979546198
156	5	5.34281291890155	-0.342812918901554
157	5	5.3474609795462	-0.347460979546198
158	5	5.34281291890155	-0.342812918901554
159	5	5.25240751854352	-0.252407518543517
160	6	4.94650410930533	1.05349589069467
161	5	5.11779159666303	-0.117791596663026
162	4	5.56624386582528	-1.56624386582528
163	6	5.66465364363217	0.335346356367834
164	5	4.91320462074179	0.0867953792582085
165	5	4.91094356415013	0.0890564358498747
166	5	4.86684994778195	0.133150052218052
167	5	5.1452779421423	-0.145277942142303
168	4	5.20452372912732	-1.20452372912732
169	6	5.47393427289856	0.526065727101439
170	5	5.28515291189063	-0.285152911890633
171	4	5.00899454953446	-1.00899454953446
172	6	5.53861358211251	0.461386417887489
173	6	5.53861358211251	0.461386417887489
174	6	5.97397222700549	0.026027772994512
175	5	5.4291486895191	-0.429148689519099
176	5	5.48613051220268	-0.486130512202681
177	5	5.4291486895191	-0.429148689519099
178	6	5.53075690866197	0.469243091338034
179	5	5.24099507162114	-0.24099507162114
180	5	5.42644247454296	-0.426442474542958
181	5	5.42644247454296	-0.426442474542958
182	5	4.90385041606716	0.0961495839328399
183	5	5.13230416212834	-0.132304162128343
184	5	5.01370284793889	-0.0137028479388888
185	6	4.99432589673085	1.00567410326915
186	5	5.32615615053678	-0.326156150536783
187	5	5.100261760675	-0.100261760675003
188	5	5.31316034911414	-0.313160349114144
189	5	4.86312061395672	0.136879386043281
190	5	4.8819713547909	0.118028645209099
191	5	4.98984751910268	0.0101524808973154
192	6	5.482124359709	0.517875640291002
193	5	4.86161122292246	0.138388777077539
194	5	5.4321304185758	-0.432130418575804
195	5	5.4321304185758	-0.432130418575804
196	5	4.86846393401713	0.131536065982868
197	5	5.38460068276785	-0.384600682767846
198	6	6.16904293111294	-0.169042931112936
199	7	5.89439688779991	1.10560311220009
200	4	5.35296420701141	-1.35296420701141
201	7	6.0492057792081	0.950794220791904
202	5	5.23793300785223	-0.237933007852229
203	5	5.44274969294438	-0.442749692944382
204	5	5.23087162414058	-0.230871624140577
205	6	5.22235057830349	0.777649421696511
206	7	6.26870440372228	0.731295596277717
207	7	6.26870440372228	0.731295596277717
208	5	4.86754758942365	0.132452410576346
209	5	5.19168951588766	-0.191689515887656
210	7	6.23471741294201	0.76528258705799
211	6	6.45899663202722	-0.458996632027219
212	6	5.204959782345	0.795040217655004
213	6	5.92371704517441	0.0762829548255859
214	5	5.3959476999191	-0.3959476999191
215	6	5.38047690124872	0.619523098751281
216	5	5.30692377046041	-0.306923770460406
217	5	5.78262335955393	-0.782623359553926
218	5	5.04770196760223	-0.0477019676022317
219	5	5.40452548854639	-0.404525488546387
220	5	4.86984749009426	0.130152509905737
221	6	5.39583978345557	0.604160216544432
222	5	5.12404152451817	-0.124041524518167
223	5	5.43273192883368	-0.432731928833681
224	6	5.50923109013671	0.490768909863285
225	4	5.43348329650065	-1.43348329650065
226	6	5.6998986164941	0.300101383505904
227	6	5.35719297879149	0.642807021208509
228	5	5.39265563712741	-0.392655637127413
229	6	5.6998986164941	0.300101383505904
230	5	5.70515913577108	-0.705159135771084
231	7	5.8569275206075	1.1430724793925
232	6	5.66631655060143	0.333683449398568
233	6	5.6210724574157	0.378927542584298
234	5	5.70515913577108	-0.705159135771084
235	6	4.83541013074678	1.16458986925322
236	6	5.17256952709537	0.827430472904627
237	6	5.17256952709537	0.827430472904627
238	6	5.21747936895931	0.782520631040687
239	6	5.17256952709537	0.827430472904627
240	6	4.83541013074678	1.16458986925322
241	5	5.16374134090496	-0.163741340904958
242	6	6.23592525063946	-0.235925250639465
243	6	5.13867707692336	0.861322923076635
244	7	6.3030578951971	0.696942104802896
245	7	6.3030578951971	0.696942104802896
246	6	5.66572492325174	0.334275076748265
247	5	5.16774440242729	-0.167744402427288
248	5	5.08745720371136	-0.0874572037113583
249	6	5.47976221704731	0.520237782952692
250	6	5.66572492325174	0.334275076748265
251	6	6.01340693530032	-0.0134069353003225
252	6	5.57607041660087	0.423929583399133
253	5	6.03923243956753	-1.03923243956753
254	5	4.76189704396662	0.23810295603338
255	6	5.57607041660087	0.423929583399133
256	5	4.93674091666964	0.0632590833303561
257	5	5.65699082685899	-0.656990826858992
258	5	5.0896323693816	-0.0896323693815988
259	5	4.89874082303558	0.101259176964425
260	7	6.09579982865102	0.904200171348979
261	5	5.5405384159635	-0.5405384159635
262	4	4.78168069509845	-0.781680695098454
263	5	5.66314183894519	-0.663141838945191
264	5	5.50885440468831	-0.508854404688306
265	5	6.23844627326153	-1.23844627326153
266	7	6.2215615356405	0.778438464359498
267	4	5.25717307399452	-1.25717307399452
268	8	6.61996506342609	1.38003493657391
269	6	5.54838404077838	0.451615959221625
270	6	6.30207908857006	-0.302079088570059
271	6	5.81301209409707	0.186987905902926
272	6	6.30207908857006	-0.302079088570059
273	5	5.8100253705574	-0.810025370557401
274	5	5.2477370492123	-0.2477370492123
275	5	5.13639418762699	-0.13639418762699
276	6	5.81301209409707	0.186987905902926
277	6	5.54838404077838	0.451615959221625
278	6	6.30207908857006	-0.302079088570059
279	8	6.88718693890635	1.11281306109365
280	7	5.92164041788137	1.07835958211863
281	6	5.99589992316292	0.00410007683708063
282	7	5.57587871007934	1.42412128992066
283	5	5.24389962608226	-0.243899626082259
284	7	5.92164041788137	1.07835958211863
285	5	5.6376753090274	-0.637675309027401
286	5	5.6376753090274	-0.637675309027401
287	6	5.98070534357982	0.0192946564201828
288	6	5.81785197051566	0.18214802948434
289	7	5.97774183806298	1.02225816193702
290	5	5.51668895829705	-0.51668895829705
291	7	5.97774183806298	1.02225816193702
292	5	5.99233589636885	-0.99233589636885
293	6	5.82268799600977	0.177312003990227
294	6	5.70572339977854	0.294276600221457
295	6	5.94926906464597	0.0507309353540265
296	5	5.62562592415375	-0.625625924153755
297	5	5.21629208506324	-0.216292085063239
298	5	5.41266424719917	-0.412664247199172
299	5	5.46458293152908	-0.464582931529075
300	5	5.32947559202704	-0.32947559202704
301	6	5.80131484499825	0.198685155001751
302	6	6.17956248646953	-0.179562486469533
303	5	5.5492913722567	-0.549291372256701
304	5	5.1604158057364	-0.160415805736395
305	5	4.70152109176525	0.298478908234749
306	6	5.47151083788815	0.528489162111848
307	5	5.05194840166276	-0.0519484016627566
308	6	5.58249154872647	0.417508451273535
309	6	5.56103529650092	0.438964703499084
310	6	5.50784817050012	0.492151829499878
311	6	5.47151083788815	0.528489162111848
312	6	5.02551393017078	0.974486069829216
313	6	5.2581765329747	0.741823467025295
314	5	5.0211780913639	-0.0211780913639015
315	5	5.86326263429738	-0.863262634297383
316	6	5.88886916525022	0.11113083474978
317	5	5.53312466205122	-0.533124662051223
318	6	5.54207658138721	0.457923418612787
319	7	5.93249358896085	1.06750641103915
320	6	5.54207658138721	0.457923418612787
321	7	5.93249358896085	1.06750641103915
322	5	5.30764714178637	-0.307647141786374
323	5	5.4226043367205	-0.422604336720499
324	6	5.38218807569728	0.617811924302724
325	6	5.63073153465955	0.369268465340454
326	6	5.63073153465955	0.369268465340454
327	7	6.22341790653484	0.776582093465157
328	5	6.34806750411712	-1.34806750411712
329	6	6.06972996148757	-0.0697299614875733
330	5	5.73555206088024	-0.735552060880243
331	6	6.42805697496263	-0.42805697496263
332	6	6.42805697496263	-0.42805697496263
333	6	4.96450792286578	1.03549207713422
334	5	5.87201465217113	-0.872014652171125
335	7	6.15278554595857	0.84721445404143
336	7	6.37555850913247	0.624441490867529
337	6	6.52193310394441	-0.52193310394441
338	5	5.66716994353816	-0.667169943538157
339	6	6.19948758194439	-0.199487581944387
340	7	6.39386079551792	0.60613920448208
341	6	6.10398446429995	-0.103984464299948
342	6	6.37368060166453	-0.373680601664534
343	6	5.86405142042136	0.135948579578637
344	6	5.86405142042136	0.135948579578637
345	6	6.02870355342273	-0.0287035534227268
346	5	5.47716816283681	-0.477168162836809
347	7	6.13473470494869	0.865265295051305
348	6	6.71474261511553	-0.714742615115535
349	6	5.75793793655149	0.242062063448508
350	6	5.49464543143391	0.505354568566085
351	6	5.82289192264486	0.177108077355144
352	6	5.47618985153176	0.523810148468238
353	5	5.43971403134027	-0.439714031340269
354	5	6.56166500439808	-1.56166500439808
355	6	5.69454977017807	0.305450229821926
356	6	6.23054566768038	-0.230545667680383
357	5	6.24656008634396	-1.24656008634396
358	7	6.24096029427678	0.759039705723218
359	7	6.04797210332055	0.952027896679446
360	6	5.8229289315695	0.177071068430503
361	5	5.05628891215407	-0.0562889121540746
362	6	5.73279989841666	0.267200101583336
363	5	5.58748547621314	-0.587485476213143
364	5	6.09727244436379	-1.09727244436379
365	7	5.71748556485685	1.28251443514315
366	6	6.44984498424049	-0.449844984240487
367	7	5.71748556485685	1.28251443514315
368	5	5.32329134685186	-0.323291346851856
369	5	5.38714727320901	-0.387147273209012
370	7	6.73705686837893	0.262943131621073
371	5	5.35336560049374	-0.353365600493736
372	6	5.55676156801859	0.443238431981409
373	6	6.17960701330301	-0.179607013303009
374	5	5.08869253534475	-0.088692535344753
375	6	6.2812881617115	-0.281288161711504
376	7	6.32030703914454	0.679692960855461
377	6	6.34257276191458	-0.342572761914578
378	7	6.73705686837893	0.262943131621073
379	6	6.80122505961841	-0.801225059618409
380	6	5.82917035871274	0.170829641287257
381	6	5.71979175260126	0.280208247398743
382	6	6.01796654770873	-0.0179665477087315
383	6	5.71979175260126	0.280208247398743
384	6	5.71979175260126	0.280208247398743
385	5	5.29039853479304	-0.290398534793039
386	6	5.46420820609138	0.535791793908616
387	6	5.30649368080847	0.693506319191526
388	6	5.33034079511805	0.669659204881954
389	6	5.36235239528633	0.63764760471367
390	7	5.80365474611043	1.19634525388957
391	8	5.88947619459251	2.11052380540749
392	6	6.01796654770873	-0.0179665477087315
393	5	5.52488901013861	-0.52488901013861
394	5	4.64118567873925	0.358814321260755
395	5	5.67994107741961	-0.679941077419607
396	7	6.70915190416846	0.290848095831539
397	5	5.05058587218885	-0.0505858721888481
398	6	5.8745360954688	0.125463904531205
399	6	5.8745360954688	0.125463904531205
400	5	5.16886950670578	-0.16886950670578
401	5	5.05058587218885	-0.0505858721888481
402	6	5.97994621964956	0.0200537803504359
403	6	5.86190643499913	0.138093565000875
404	6	5.78436776684894	0.215632233151055
405	5	5.26799340606441	-0.267993406064406
406	6	5.88351353344889	0.116486466551111
407	6	5.99722949043057	0.00277050956943443
408	7	6.09425886641173	0.905741133588265
409	6	6.19919734047508	-0.199197340475078
410	4	5.75304160225854	-1.75304160225854
411	6	5.35398034308889	0.64601965691111
412	5	5.36304711077226	-0.363047110772258
413	5	4.9182088410853	0.0817911589146957
414	7	6.40362604675379	0.596373953246212
415	5	5.06973063082281	-0.0697306308228087
416	5	5.04586648701347	-0.0458664870134697
417	6	6.17414482813709	-0.17414482813709
418	5	5.20955301753471	-0.209553017534712
419	6	6.10955773796284	-0.109557737962837
420	5	5.33741502583782	-0.337415025837815
421	7	6.14026477803892	0.859735221961084
422	7	5.93345919073683	1.06654080926317
423	5	5.22995111016899	-0.229951110168992
424	7	6.45634684959367	0.543653150406331
425	5	5.22995111016899	-0.229951110168992
426	7	5.93345919073683	1.06654080926317
427	6	5.7240482099313	0.275951790068701
428	6	5.61177142982576	0.388228570174244
429	5	5.4211120791978	-0.421112079197799
430	6	5.56572726538879	0.43427273461121
431	7	6.45634684959367	0.543653150406331
432	5	5.09301866923841	-0.0930186692384117
433	6	6.75309185290879	-0.75309185290879
434	5	5.70288488129791	-0.702884881297915
435	6	5.80301732842504	0.196982671574965
436	5	5.70288488129791	-0.702884881297915
437	6	5.39918805425027	0.600811945749732
438	6	6.1050317463992	-0.105031746399196
439	6	5.80301732842504	0.196982671574965
440	5	5.1450929529146	-0.145092952914602
441	8	6.00478924014025	1.99521075985975
442	6	6.28752618722659	-0.287526187226586
443	7	6.13539283445491	0.864607165545087
444	7	6.26458097917844	0.735419020821563
445	7	6.31905161487361	0.680948385126393
446	6	5.57607246067754	0.423927539322462
447	5	6.01825954734017	-1.01825954734017
448	5	6.14392402782838	-1.14392402782838
449	6	5.66768095668006	0.332319043319939
450	6	6.05459471367394	-0.0545947136739405
451	6	6.05459471367394	-0.0545947136739405
452	6	5.24374814996248	0.756251850037522
453	6	5.56208673206965	0.43791326793035
454	7	6.23985067410877	0.760149325891226
455	5	5.91705834424485	-0.917058344244845
456	8	6.67889424721087	1.32110575278913
457	5	5.59550974986331	-0.595509749863309
458	5	5.34886169627836	-0.348861696278356
459	7	6.23985067410877	0.760149325891226
460	3	5.21089741903226	-2.21089741903225
461	6	6.06778136161045	-0.0677813616104491
462	5	5.35931791290108	-0.359317912901081
463	5	6.44230884664065	-1.44230884664065
464	5	4.44099904735725	0.559000952642749
465	6	5.80405231696191	0.195947683038088
466	5	5.96587896931103	-0.965878969311031
467	6	6.1842107992586	-0.184210799258602
468	6	6.97925318150287	-0.979253181502869
469	6	5.58342584320188	0.416574156798116
470	5	5.38942255170051	-0.389422551700511
471	5	6.11969328152701	-1.11969328152701
472	6	6.03853165282528	-0.0385316528252824
473	6	6.06344026007549	-0.0634402600754855
474	5	6.10516800853445	-1.10516800853445
475	6	5.88571020570097	0.114289794299027
476	5	5.62586649394183	-0.625866493941834
477	5	5.85763352521176	-0.857633525211764
478	6	6.52139413277307	-0.521394132773068
479	5	5.62586649394183	-0.625866493941834
480	6	5.6939589386827	0.306041061317299
481	5	5.92188878130343	-0.921888781303431
482	8	6.49749605656742	1.50250394343258
483	5	5.80644149832115	-0.80644149832115
484	5	5.80906882899156	-0.809068828991558
485	6	6.72908557401824	-0.729085574018236
486	5	5.55168622919863	-0.551686229198633
487	5	5.55168622919863	-0.551686229198633
488	6	5.58302827922829	0.416971720771708
489	7	6.24363978289102	0.756360217108985
490	6	5.90697805449239	0.0930219455076139
491	6	5.57227847275184	0.427721527248158
492	7	6.81261616621022	0.187383833789776
493	7	6.87844473818588	0.121555261814121
494	6	5.79979835929665	0.200201640703351
495	6	6.05597185145051	-0.0559718514505077
496	8	6.22998408274332	1.77001591725668
497	6	5.25000747595613	0.749992524043869
498	5	5.80363521873346	-0.803635218733462
499	8	6.22998408274332	1.77001591725668
500	6	5.79979835929665	0.200201640703351

Goldfeld-Quandt test for Heteroskedasticity
p-values	Alternative Hypothesis
breakpoint index	greater	2-sided	less
15	1.28166739394663e-05	2.56333478789326e-05	0.999987183326061
16	0.00141716722479225	0.00283433444958449	0.998582832775208
17	0.00168085407851523	0.00336170815703046	0.998319145921485
18	0.000334461718618174	0.000668923437236348	0.999665538281382
19	0.0066127912197576	0.0132255824395152	0.993387208780242
20	0.00406933748570261	0.00813867497140522	0.995930662514297
21	0.00199081652395884	0.00398163304791768	0.998009183476041
22	0.0111573773138612	0.0223147546277224	0.988842622686139
23	0.348776326651871	0.697552653303743	0.651223673348129
24	0.276307842300916	0.552615684601832	0.723692157699084
25	0.250667804928062	0.501335609856124	0.749332195071938
26	0.250940123754119	0.501880247508238	0.749059876245881
27	0.256850970328723	0.513701940657446	0.743149029671277
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284	0.0607804811368319	0.121560962273664	0.939219518863168
285	0.0601055180624504	0.120211036124901	0.93989448193755
286	0.059122640483737	0.118245280967474	0.940877359516263
287	0.052000476917512	0.104000953835024	0.947999523082488
288	0.0461609207774794	0.0923218415549589	0.953839079222521
289	0.0562461763484791	0.112492352696958	0.943753823651521
290	0.0544293167368569	0.108858633473714	0.945570683263143
291	0.0660039416495473	0.132007883299095	0.933996058350453
292	0.0785135147167963	0.157027029433593	0.921486485283204
293	0.070608986878166	0.141217973756332	0.929391013121834
294	0.06408684070969	0.12817368141938	0.93591315929031
295	0.0569072647329745	0.113814529465949	0.943092735267026
296	0.0558490872686815	0.111698174537363	0.944150912731318
297	0.0495945749651799	0.0991891499303598	0.95040542503482
298	0.0463768803721526	0.0927537607443053	0.953623119627847
299	0.0451027322525921	0.0902054645051843	0.954897267747408
300	0.0422005935193275	0.0844011870386551	0.957799406480672
301	0.037320653048566	0.0746413060971319	0.962679346951434
302	0.0330280600963949	0.0660561201927899	0.966971939903605
303	0.0327793631532493	0.0655587263064986	0.967220636846751
304	0.0288974448287167	0.0577948896574333	0.971102555171283
305	0.025397605897214	0.0507952117944281	0.974602394102786
306	0.0244880168718664	0.0489760337437328	0.975511983128134
307	0.0213460053581226	0.0426920107162452	0.978653994641877
308	0.0199512063172447	0.0399024126344894	0.980048793682755
309	0.0189461006924759	0.0378922013849519	0.981053899307524
310	0.0178829425117619	0.0357658850235238	0.982117057488238
311	0.0171201252684229	0.0342402505368459	0.982879874731577
312	0.0193712202596057	0.0387424405192114	0.980628779740394
313	0.0199752352815296	0.0399504705630591	0.98002476471847
314	0.0170119272497805	0.034023854499561	0.982988072750219
315	0.018884103150358	0.0377682063007161	0.981115896849642
316	0.0161637455928895	0.032327491185779	0.983836254407111
317	0.0148499064679908	0.0296998129359817	0.985150093532009
318	0.0137768584568906	0.0275537169137812	0.986223141543109
319	0.0182974795882947	0.0365949591765893	0.981702520411705
320	0.0169243787367645	0.033848757473529	0.983075621263235
321	0.0219470746578637	0.0438941493157273	0.978052925342136
322	0.0194460270530157	0.0388920541060314	0.980553972946984
323	0.0179738779418019	0.0359477558836039	0.982026122058198
324	0.0181694552552766	0.0363389105105532	0.981830544744723
325	0.0161831043268063	0.0323662086536127	0.983816895673194
326	0.01461880398587	0.0292376079717399	0.98538119601413
327	0.0157369147782115	0.0314738295564229	0.984263085221789
328	0.0276015426317275	0.055203085263455	0.972398457368273
329	0.0246364404212044	0.0492728808424088	0.975363559578796
330	0.0249820870077197	0.0499641740154395	0.97501791299228
331	0.022616792260922	0.045233584521844	0.977383207739078
332	0.0205186703805121	0.0410373407610242	0.979481329619488
333	0.0251697461157357	0.0503394922314714	0.974830253884264
334	0.0275933441607609	0.0551866883215218	0.972406655839239
335	0.0301127769885662	0.0602255539771325	0.969887223011434
336	0.0291028777752111	0.0582057555504221	0.970897122224789
337	0.0280429537723008	0.0560859075446015	0.971957046227699
338	0.0280251661734976	0.0560503323469951	0.971974833826502
339	0.0243540202227648	0.0487080404455295	0.975645979777235
340	0.0233249896083081	0.0466499792166162	0.976675010391692
341	0.0198942007808857	0.0397884015617714	0.980105799219114
342	0.0179118163686207	0.0358236327372413	0.982088183631379
343	0.0154989245932746	0.0309978491865492	0.984501075406725
344	0.0134410731236833	0.0268821462473666	0.986558926876317
345	0.0112754709650722	0.0225509419301445	0.988724529034928
346	0.0105462471429552	0.0210924942859105	0.989453752857045
347	0.0110960250101749	0.0221920500203498	0.988903974989825
348	0.0111369127798484	0.0222738255596969	0.988863087220152
349	0.00938565300174892	0.0187713060034978	0.990614346998251
350	0.00840418512277864	0.0168083702455573	0.991595814877221
351	0.00698284883950394	0.0139656976790079	0.993017151160496
352	0.00633188935773449	0.012663778715469	0.993668110642265
353	0.00587106043070843	0.0117421208614169	0.994128939569292
354	0.014313154408464	0.028626308816928	0.985686845591536
355	0.0124053396425759	0.0248106792851517	0.987594660357424
356	0.0113635642988546	0.0227271285977093	0.988636435701145
357	0.0178724977158962	0.0357449954317925	0.982127502284104
358	0.0192551656011115	0.0385103312022229	0.980744834398888
359	0.0235584518420359	0.0471169036840718	0.976441548157964
360	0.0206851048001255	0.0413702096002511	0.979314895199874
361	0.0177069866342242	0.0354139732684484	0.982293013365776
362	0.0151022518003152	0.0302045036006303	0.984897748199685
363	0.0141885973785248	0.0283771947570495	0.985811402621475
364	0.0192809733495618	0.0385619466991237	0.980719026650438
365	0.0313359710662821	0.0626719421325643	0.968664028933718
366	0.0302049913518147	0.0604099827036293	0.969795008648185
367	0.0501301777265965	0.100260355453193	0.949869822273403
368	0.0444967384742408	0.0889934769484815	0.955503261525759
369	0.039438819273642	0.078877638547284	0.960561180726358
370	0.0345155297128906	0.0690310594257812	0.965484470287109
371	0.0319865976203692	0.0639731952407383	0.968013402379631
372	0.0295184054389746	0.0590368108779491	0.970481594561025
373	0.0255829273639635	0.0511658547279269	0.974417072636036
374	0.0219373091566361	0.0438746183132721	0.978062690843364
375	0.0186626823197299	0.0373253646394597	0.98133731768027
376	0.0182124434054678	0.0364248868109356	0.981787556594532
377	0.0169648024652471	0.0339296049304941	0.983035197534753
378	0.0145117312045832	0.0290234624091664	0.985488268795417
379	0.0216598061686004	0.0433196123372008	0.9783401938314
380	0.0182589993151752	0.0365179986303504	0.981741000684825
381	0.0155200783771037	0.0310401567542074	0.984479921622896
382	0.0128841176952376	0.0257682353904751	0.987115882304762
383	0.0108728503913149	0.0217457007826298	0.989127149608685
384	0.00916082920720866	0.0183216584144173	0.990839170792791
385	0.00778365809922809	0.0155673161984562	0.992216341900772
386	0.00684951229329632	0.0136990245865926	0.993150487706704
387	0.00690666255068739	0.0138133251013748	0.993093337449313
388	0.00725278249792434	0.0145055649958487	0.992747217502076
389	0.0074436283070157	0.0148872566140314	0.992556371692984
390	0.0130273138783152	0.0260546277566305	0.986972686121685
391	0.041284200173007	0.0825684003460141	0.958715799826993
392	0.0349547742763501	0.0699095485527003	0.96504522572365
393	0.0311816680400633	0.0623633360801265	0.968818331959937
394	0.0282267549408306	0.0564535098816612	0.971773245059169
395	0.02709874137563	0.0541974827512601	0.97290125862437
396	0.0230476997150511	0.0460953994301022	0.976952300284949
397	0.0190412944066002	0.0380825888132003	0.9809587055934
398	0.015803781297843	0.0316075625956859	0.984196218702157
399	0.0130534605226139	0.0261069210452278	0.986946539477386
400	0.0106543228619265	0.0213086457238529	0.989345677138074
401	0.00859774828403627	0.0171954965680725	0.991402251715964
402	0.00702950065396281	0.0140590013079256	0.992970499346037
403	0.00576377200198763	0.0115275440039753	0.994236227998012
404	0.00471122708111553	0.00942245416223107	0.995288772918885
405	0.00386310484805408	0.00772620969610816	0.996136895151946
406	0.00313474936278474	0.00626949872556949	0.996865250637215
407	0.00243703929262664	0.00487407858525328	0.997562960707373
408	0.00349040104814952	0.00698080209629904	0.99650959895185
409	0.00275583733506964	0.00551167467013929	0.99724416266493
410	0.00574636675162788	0.0114927335032558	0.994253633248372
411	0.00733196555782137	0.0146639311156427	0.992668034442179
412	0.00592013433717999	0.01184026867436	0.99407986566282
413	0.00466585245732943	0.00933170491465886	0.995334147542671
414	0.00431604745362898	0.00863209490725797	0.995683952546371
415	0.00357758924600596	0.00715517849201191	0.996422410753994
416	0.00278959986115187	0.00557919972230375	0.997210400138848
417	0.00213903868350213	0.00427807736700427	0.997860961316498
418	0.00175933608250935	0.0035186721650187	0.998240663917491
419	0.0013812544483919	0.00276250889678381	0.998618745551608
420	0.00115874697788284	0.00231749395576568	0.998841253022117
421	0.00118046567080624	0.00236093134161248	0.998819534329194
422	0.00133034819795414	0.00266069639590828	0.998669651802046
423	0.00102414847569971	0.00204829695139942	0.9989758515243
424	0.000905747784713596	0.00181149556942719	0.999094252215286
425	0.000707288473643378	0.00141457694728676	0.999292711526357
426	0.000843604532754286	0.00168720906550857	0.999156395467246
427	0.000686485457259804	0.00137297091451961	0.99931351454274
428	0.000532562556447725	0.00106512511289545	0.999467437443552
429	0.000408381213930138	0.000816762427860276	0.99959161878607
430	0.000322082164038554	0.000644164328077109	0.999677917835961
431	0.000274923534352535	0.00054984706870507	0.999725076465647
432	0.000194326035563034	0.000388652071126067	0.999805673964437
433	0.00021032818453913	0.00042065636907826	0.999789671815461
434	0.000164286423249428	0.000328572846498856	0.999835713576751
435	0.000114455689815069	0.000228911379630138	0.999885544310185
436	8.88369971184765e-05	0.000177673994236953	0.999911163002882
437	8.03049754144363e-05	0.000160609950828873	0.999919695024586
438	5.57956568884511e-05	0.000111591313776902	0.999944204343112
439	3.78101851502653e-05	7.56203703005306e-05	0.99996218981485
440	2.71270459549677e-05	5.42540919099354e-05	0.999972872954045
441	0.000345277923026249	0.000690555846052498	0.999654722076974
442	0.00025262893713695	0.0005052578742739	0.999747371062863
443	0.000347381571887973	0.000694763143775946	0.999652618428112
444	0.000392933903608655	0.00078586780721731	0.999607066096391
445	0.000348720915172794	0.000697441830345587	0.999651279084827
446	0.000329504973110327	0.000659009946220654	0.99967049502689
447	0.000325067006626573	0.000650134013253145	0.999674932993373
448	0.000472783046891565	0.00094556609378313	0.999527216953108
449	0.000378844949078791	0.000757689898157582	0.999621155050921
450	0.000255408093004435	0.000510816186008871	0.999744591906996
451	0.000170013040507971	0.000340026081015941	0.999829986959492
452	0.000682682466789602	0.0013653649335792	0.99931731753321
453	0.000708787063360858	0.00141757412672172	0.999291212936639
454	0.000579955093427603	0.00115991018685521	0.999420044906572
455	0.000493199111122494	0.000986398222244988	0.999506800888878
456	0.00183703192400549	0.00367406384801099	0.998162968075994
457	0.00129193599139899	0.00258387198279799	0.998708064008601
458	0.000884149398154216	0.00176829879630843	0.999115850601846
459	0.000835562990636909	0.00167112598127382	0.999164437009363
460	0.015527530066842	0.031055060133684	0.984472469933158
461	0.0112788376440048	0.0225576752880095	0.988721162355995
462	0.00807896225102152	0.016157924502043	0.991921037748978
463	0.0139193855928748	0.0278387711857496	0.986080614407125
464	0.00998824384864893	0.0199764876972979	0.990011756151351
465	0.00710513467614293	0.0142102693522859	0.992894865323857
466	0.00827846756040199	0.016556935120804	0.991721532439598
467	0.00573617339211764	0.0114723467842353	0.994263826607882
468	0.0106057701292953	0.0212115402585907	0.989394229870705
469	0.0086070053992266	0.0172140107984532	0.991392994600773
470	0.00694237630638471	0.0138847526127694	0.993057623693615
471	0.00971474840262087	0.0194294968052417	0.990285251597379
472	0.00627187538641915	0.0125437507728383	0.993728124613581
473	0.00476062792912372	0.00952125585824743	0.995239372070876
474	0.0158910614320531	0.0317821228641062	0.984108938567947
475	0.0112644208440392	0.0225288416880784	0.988735579155961
476	0.00727278741526982	0.0145455748305396	0.99272721258473
477	0.0220995115955585	0.0441990231911171	0.977900488404441
478	0.0718065418826245	0.143613083765249	0.928193458117376
479	0.0603349201003664	0.120669840200733	0.939665079899634
480	0.103680411992855	0.20736082398571	0.896319588007145
481	0.152172933648003	0.304345867296007	0.847827066351997
482	0.525355123507731	0.949289752984538	0.474644876492269
483	0.447696725073841	0.895393450147682	0.552303274926159
484	0.416840866339928	0.833681732679855	0.583159133660072
485	1	5.99249947039427e-36	2.99624973519713e-36

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
15 & 1.28166739394663e-05 & 2.56333478789326e-05 & 0.999987183326061 \tabularnewline
16 & 0.00141716722479225 & 0.00283433444958449 & 0.998582832775208 \tabularnewline
17 & 0.00168085407851523 & 0.00336170815703046 & 0.998319145921485 \tabularnewline
18 & 0.000334461718618174 & 0.000668923437236348 & 0.999665538281382 \tabularnewline
19 & 0.0066127912197576 & 0.0132255824395152 & 0.993387208780242 \tabularnewline
20 & 0.00406933748570261 & 0.00813867497140522 & 0.995930662514297 \tabularnewline
21 & 0.00199081652395884 & 0.00398163304791768 & 0.998009183476041 \tabularnewline
22 & 0.0111573773138612 & 0.0223147546277224 & 0.988842622686139 \tabularnewline
23 & 0.348776326651871 & 0.697552653303743 & 0.651223673348129 \tabularnewline
24 & 0.276307842300916 & 0.552615684601832 & 0.723692157699084 \tabularnewline
25 & 0.250667804928062 & 0.501335609856124 & 0.749332195071938 \tabularnewline
26 & 0.250940123754119 & 0.501880247508238 & 0.749059876245881 \tabularnewline
27 & 0.256850970328723 & 0.513701940657446 & 0.743149029671277 \tabularnewline
28 & 0.246134254427034 & 0.492268508854069 & 0.753865745572966 \tabularnewline
29 & 0.190919443765295 & 0.38183888753059 & 0.809080556234705 \tabularnewline
30 & 0.145115234219895 & 0.29023046843979 & 0.854884765780105 \tabularnewline
31 & 0.108563327449886 & 0.217126654899772 & 0.891436672550114 \tabularnewline
32 & 0.12764339166038 & 0.255286783320761 & 0.87235660833962 \tabularnewline
33 & 0.106131924450557 & 0.212263848901113 & 0.893868075549443 \tabularnewline
34 & 0.148234589070354 & 0.296469178140708 & 0.851765410929646 \tabularnewline
35 & 0.125483863988174 & 0.250967727976348 & 0.874516136011826 \tabularnewline
36 & 0.132141721475081 & 0.264283442950163 & 0.867858278524918 \tabularnewline
37 & 0.105197814846334 & 0.210395629692668 & 0.894802185153666 \tabularnewline
38 & 0.170537395727005 & 0.34107479145401 & 0.829462604272995 \tabularnewline
39 & 0.139978638669903 & 0.279957277339806 & 0.860021361330097 \tabularnewline
40 & 0.114026051616659 & 0.228052103233319 & 0.885973948383341 \tabularnewline
41 & 0.0910414306906173 & 0.182082861381235 & 0.908958569309383 \tabularnewline
42 & 0.142699766993369 & 0.285399533986739 & 0.857300233006631 \tabularnewline
43 & 0.145128478823037 & 0.290256957646074 & 0.854871521176963 \tabularnewline
44 & 0.177074194835231 & 0.354148389670461 & 0.822925805164769 \tabularnewline
45 & 0.14563276594203 & 0.291265531884059 & 0.85436723405797 \tabularnewline
46 & 0.467193582589766 & 0.934387165179531 & 0.532806417410234 \tabularnewline
47 & 0.626444271806282 & 0.747111456387436 & 0.373555728193718 \tabularnewline
48 & 0.64212837451847 & 0.715743250963059 & 0.35787162548153 \tabularnewline
49 & 0.608973914532218 & 0.782052170935563 & 0.391026085467782 \tabularnewline
50 & 0.604289835965844 & 0.791420328068312 & 0.395710164034156 \tabularnewline
51 & 0.566564005057808 & 0.866871989884383 & 0.433435994942192 \tabularnewline
52 & 0.563240015207946 & 0.873519969584109 & 0.436759984792054 \tabularnewline
53 & 0.554955204990114 & 0.890089590019772 & 0.445044795009886 \tabularnewline
54 & 0.519924835332505 & 0.960150329334991 & 0.480075164667495 \tabularnewline
55 & 0.488846306824129 & 0.977692613648257 & 0.511153693175871 \tabularnewline
56 & 0.51058322027699 & 0.97883355944602 & 0.48941677972301 \tabularnewline
57 & 0.537373041420417 & 0.925253917159165 & 0.462626958579583 \tabularnewline
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276 & 0.024100313346884 & 0.0482006266937679 & 0.975899686653116 \tabularnewline
277 & 0.0216792793645147 & 0.0433585587290294 & 0.978320720635485 \tabularnewline
278 & 0.0192052512751767 & 0.0384105025503534 & 0.980794748724823 \tabularnewline
279 & 0.0305900248312739 & 0.0611800496625478 & 0.969409975168726 \tabularnewline
280 & 0.0400132696794301 & 0.0800265393588602 & 0.95998673032057 \tabularnewline
281 & 0.0350175150140225 & 0.0700350300280449 & 0.964982484985977 \tabularnewline
282 & 0.0535555609615707 & 0.107111121923141 & 0.946444439038429 \tabularnewline
283 & 0.0482318975639114 & 0.0964637951278227 & 0.951768102436089 \tabularnewline
284 & 0.0607804811368319 & 0.121560962273664 & 0.939219518863168 \tabularnewline
285 & 0.0601055180624504 & 0.120211036124901 & 0.93989448193755 \tabularnewline
286 & 0.059122640483737 & 0.118245280967474 & 0.940877359516263 \tabularnewline
287 & 0.052000476917512 & 0.104000953835024 & 0.947999523082488 \tabularnewline
288 & 0.0461609207774794 & 0.0923218415549589 & 0.953839079222521 \tabularnewline
289 & 0.0562461763484791 & 0.112492352696958 & 0.943753823651521 \tabularnewline
290 & 0.0544293167368569 & 0.108858633473714 & 0.945570683263143 \tabularnewline
291 & 0.0660039416495473 & 0.132007883299095 & 0.933996058350453 \tabularnewline
292 & 0.0785135147167963 & 0.157027029433593 & 0.921486485283204 \tabularnewline
293 & 0.070608986878166 & 0.141217973756332 & 0.929391013121834 \tabularnewline
294 & 0.06408684070969 & 0.12817368141938 & 0.93591315929031 \tabularnewline
295 & 0.0569072647329745 & 0.113814529465949 & 0.943092735267026 \tabularnewline
296 & 0.0558490872686815 & 0.111698174537363 & 0.944150912731318 \tabularnewline
297 & 0.0495945749651799 & 0.0991891499303598 & 0.95040542503482 \tabularnewline
298 & 0.0463768803721526 & 0.0927537607443053 & 0.953623119627847 \tabularnewline
299 & 0.0451027322525921 & 0.0902054645051843 & 0.954897267747408 \tabularnewline
300 & 0.0422005935193275 & 0.0844011870386551 & 0.957799406480672 \tabularnewline
301 & 0.037320653048566 & 0.0746413060971319 & 0.962679346951434 \tabularnewline
302 & 0.0330280600963949 & 0.0660561201927899 & 0.966971939903605 \tabularnewline
303 & 0.0327793631532493 & 0.0655587263064986 & 0.967220636846751 \tabularnewline
304 & 0.0288974448287167 & 0.0577948896574333 & 0.971102555171283 \tabularnewline
305 & 0.025397605897214 & 0.0507952117944281 & 0.974602394102786 \tabularnewline
306 & 0.0244880168718664 & 0.0489760337437328 & 0.975511983128134 \tabularnewline
307 & 0.0213460053581226 & 0.0426920107162452 & 0.978653994641877 \tabularnewline
308 & 0.0199512063172447 & 0.0399024126344894 & 0.980048793682755 \tabularnewline
309 & 0.0189461006924759 & 0.0378922013849519 & 0.981053899307524 \tabularnewline
310 & 0.0178829425117619 & 0.0357658850235238 & 0.982117057488238 \tabularnewline
311 & 0.0171201252684229 & 0.0342402505368459 & 0.982879874731577 \tabularnewline
312 & 0.0193712202596057 & 0.0387424405192114 & 0.980628779740394 \tabularnewline
313 & 0.0199752352815296 & 0.0399504705630591 & 0.98002476471847 \tabularnewline
314 & 0.0170119272497805 & 0.034023854499561 & 0.982988072750219 \tabularnewline
315 & 0.018884103150358 & 0.0377682063007161 & 0.981115896849642 \tabularnewline
316 & 0.0161637455928895 & 0.032327491185779 & 0.983836254407111 \tabularnewline
317 & 0.0148499064679908 & 0.0296998129359817 & 0.985150093532009 \tabularnewline
318 & 0.0137768584568906 & 0.0275537169137812 & 0.986223141543109 \tabularnewline
319 & 0.0182974795882947 & 0.0365949591765893 & 0.981702520411705 \tabularnewline
320 & 0.0169243787367645 & 0.033848757473529 & 0.983075621263235 \tabularnewline
321 & 0.0219470746578637 & 0.0438941493157273 & 0.978052925342136 \tabularnewline
322 & 0.0194460270530157 & 0.0388920541060314 & 0.980553972946984 \tabularnewline
323 & 0.0179738779418019 & 0.0359477558836039 & 0.982026122058198 \tabularnewline
324 & 0.0181694552552766 & 0.0363389105105532 & 0.981830544744723 \tabularnewline
325 & 0.0161831043268063 & 0.0323662086536127 & 0.983816895673194 \tabularnewline
326 & 0.01461880398587 & 0.0292376079717399 & 0.98538119601413 \tabularnewline
327 & 0.0157369147782115 & 0.0314738295564229 & 0.984263085221789 \tabularnewline
328 & 0.0276015426317275 & 0.055203085263455 & 0.972398457368273 \tabularnewline
329 & 0.0246364404212044 & 0.0492728808424088 & 0.975363559578796 \tabularnewline
330 & 0.0249820870077197 & 0.0499641740154395 & 0.97501791299228 \tabularnewline
331 & 0.022616792260922 & 0.045233584521844 & 0.977383207739078 \tabularnewline
332 & 0.0205186703805121 & 0.0410373407610242 & 0.979481329619488 \tabularnewline
333 & 0.0251697461157357 & 0.0503394922314714 & 0.974830253884264 \tabularnewline
334 & 0.0275933441607609 & 0.0551866883215218 & 0.972406655839239 \tabularnewline
335 & 0.0301127769885662 & 0.0602255539771325 & 0.969887223011434 \tabularnewline
336 & 0.0291028777752111 & 0.0582057555504221 & 0.970897122224789 \tabularnewline
337 & 0.0280429537723008 & 0.0560859075446015 & 0.971957046227699 \tabularnewline
338 & 0.0280251661734976 & 0.0560503323469951 & 0.971974833826502 \tabularnewline
339 & 0.0243540202227648 & 0.0487080404455295 & 0.975645979777235 \tabularnewline
340 & 0.0233249896083081 & 0.0466499792166162 & 0.976675010391692 \tabularnewline
341 & 0.0198942007808857 & 0.0397884015617714 & 0.980105799219114 \tabularnewline
342 & 0.0179118163686207 & 0.0358236327372413 & 0.982088183631379 \tabularnewline
343 & 0.0154989245932746 & 0.0309978491865492 & 0.984501075406725 \tabularnewline
344 & 0.0134410731236833 & 0.0268821462473666 & 0.986558926876317 \tabularnewline
345 & 0.0112754709650722 & 0.0225509419301445 & 0.988724529034928 \tabularnewline
346 & 0.0105462471429552 & 0.0210924942859105 & 0.989453752857045 \tabularnewline
347 & 0.0110960250101749 & 0.0221920500203498 & 0.988903974989825 \tabularnewline
348 & 0.0111369127798484 & 0.0222738255596969 & 0.988863087220152 \tabularnewline
349 & 0.00938565300174892 & 0.0187713060034978 & 0.990614346998251 \tabularnewline
350 & 0.00840418512277864 & 0.0168083702455573 & 0.991595814877221 \tabularnewline
351 & 0.00698284883950394 & 0.0139656976790079 & 0.993017151160496 \tabularnewline
352 & 0.00633188935773449 & 0.012663778715469 & 0.993668110642265 \tabularnewline
353 & 0.00587106043070843 & 0.0117421208614169 & 0.994128939569292 \tabularnewline
354 & 0.014313154408464 & 0.028626308816928 & 0.985686845591536 \tabularnewline
355 & 0.0124053396425759 & 0.0248106792851517 & 0.987594660357424 \tabularnewline
356 & 0.0113635642988546 & 0.0227271285977093 & 0.988636435701145 \tabularnewline
357 & 0.0178724977158962 & 0.0357449954317925 & 0.982127502284104 \tabularnewline
358 & 0.0192551656011115 & 0.0385103312022229 & 0.980744834398888 \tabularnewline
359 & 0.0235584518420359 & 0.0471169036840718 & 0.976441548157964 \tabularnewline
360 & 0.0206851048001255 & 0.0413702096002511 & 0.979314895199874 \tabularnewline
361 & 0.0177069866342242 & 0.0354139732684484 & 0.982293013365776 \tabularnewline
362 & 0.0151022518003152 & 0.0302045036006303 & 0.984897748199685 \tabularnewline
363 & 0.0141885973785248 & 0.0283771947570495 & 0.985811402621475 \tabularnewline
364 & 0.0192809733495618 & 0.0385619466991237 & 0.980719026650438 \tabularnewline
365 & 0.0313359710662821 & 0.0626719421325643 & 0.968664028933718 \tabularnewline
366 & 0.0302049913518147 & 0.0604099827036293 & 0.969795008648185 \tabularnewline
367 & 0.0501301777265965 & 0.100260355453193 & 0.949869822273403 \tabularnewline
368 & 0.0444967384742408 & 0.0889934769484815 & 0.955503261525759 \tabularnewline
369 & 0.039438819273642 & 0.078877638547284 & 0.960561180726358 \tabularnewline
370 & 0.0345155297128906 & 0.0690310594257812 & 0.965484470287109 \tabularnewline
371 & 0.0319865976203692 & 0.0639731952407383 & 0.968013402379631 \tabularnewline
372 & 0.0295184054389746 & 0.0590368108779491 & 0.970481594561025 \tabularnewline
373 & 0.0255829273639635 & 0.0511658547279269 & 0.974417072636036 \tabularnewline
374 & 0.0219373091566361 & 0.0438746183132721 & 0.978062690843364 \tabularnewline
375 & 0.0186626823197299 & 0.0373253646394597 & 0.98133731768027 \tabularnewline
376 & 0.0182124434054678 & 0.0364248868109356 & 0.981787556594532 \tabularnewline
377 & 0.0169648024652471 & 0.0339296049304941 & 0.983035197534753 \tabularnewline
378 & 0.0145117312045832 & 0.0290234624091664 & 0.985488268795417 \tabularnewline
379 & 0.0216598061686004 & 0.0433196123372008 & 0.9783401938314 \tabularnewline
380 & 0.0182589993151752 & 0.0365179986303504 & 0.981741000684825 \tabularnewline
381 & 0.0155200783771037 & 0.0310401567542074 & 0.984479921622896 \tabularnewline
382 & 0.0128841176952376 & 0.0257682353904751 & 0.987115882304762 \tabularnewline
383 & 0.0108728503913149 & 0.0217457007826298 & 0.989127149608685 \tabularnewline
384 & 0.00916082920720866 & 0.0183216584144173 & 0.990839170792791 \tabularnewline
385 & 0.00778365809922809 & 0.0155673161984562 & 0.992216341900772 \tabularnewline
386 & 0.00684951229329632 & 0.0136990245865926 & 0.993150487706704 \tabularnewline
387 & 0.00690666255068739 & 0.0138133251013748 & 0.993093337449313 \tabularnewline
388 & 0.00725278249792434 & 0.0145055649958487 & 0.992747217502076 \tabularnewline
389 & 0.0074436283070157 & 0.0148872566140314 & 0.992556371692984 \tabularnewline
390 & 0.0130273138783152 & 0.0260546277566305 & 0.986972686121685 \tabularnewline
391 & 0.041284200173007 & 0.0825684003460141 & 0.958715799826993 \tabularnewline
392 & 0.0349547742763501 & 0.0699095485527003 & 0.96504522572365 \tabularnewline
393 & 0.0311816680400633 & 0.0623633360801265 & 0.968818331959937 \tabularnewline
394 & 0.0282267549408306 & 0.0564535098816612 & 0.971773245059169 \tabularnewline
395 & 0.02709874137563 & 0.0541974827512601 & 0.97290125862437 \tabularnewline
396 & 0.0230476997150511 & 0.0460953994301022 & 0.976952300284949 \tabularnewline
397 & 0.0190412944066002 & 0.0380825888132003 & 0.9809587055934 \tabularnewline
398 & 0.015803781297843 & 0.0316075625956859 & 0.984196218702157 \tabularnewline
399 & 0.0130534605226139 & 0.0261069210452278 & 0.986946539477386 \tabularnewline
400 & 0.0106543228619265 & 0.0213086457238529 & 0.989345677138074 \tabularnewline
401 & 0.00859774828403627 & 0.0171954965680725 & 0.991402251715964 \tabularnewline
402 & 0.00702950065396281 & 0.0140590013079256 & 0.992970499346037 \tabularnewline
403 & 0.00576377200198763 & 0.0115275440039753 & 0.994236227998012 \tabularnewline
404 & 0.00471122708111553 & 0.00942245416223107 & 0.995288772918885 \tabularnewline
405 & 0.00386310484805408 & 0.00772620969610816 & 0.996136895151946 \tabularnewline
406 & 0.00313474936278474 & 0.00626949872556949 & 0.996865250637215 \tabularnewline
407 & 0.00243703929262664 & 0.00487407858525328 & 0.997562960707373 \tabularnewline
408 & 0.00349040104814952 & 0.00698080209629904 & 0.99650959895185 \tabularnewline
409 & 0.00275583733506964 & 0.00551167467013929 & 0.99724416266493 \tabularnewline
410 & 0.00574636675162788 & 0.0114927335032558 & 0.994253633248372 \tabularnewline
411 & 0.00733196555782137 & 0.0146639311156427 & 0.992668034442179 \tabularnewline
412 & 0.00592013433717999 & 0.01184026867436 & 0.99407986566282 \tabularnewline
413 & 0.00466585245732943 & 0.00933170491465886 & 0.995334147542671 \tabularnewline
414 & 0.00431604745362898 & 0.00863209490725797 & 0.995683952546371 \tabularnewline
415 & 0.00357758924600596 & 0.00715517849201191 & 0.996422410753994 \tabularnewline
416 & 0.00278959986115187 & 0.00557919972230375 & 0.997210400138848 \tabularnewline
417 & 0.00213903868350213 & 0.00427807736700427 & 0.997860961316498 \tabularnewline
418 & 0.00175933608250935 & 0.0035186721650187 & 0.998240663917491 \tabularnewline
419 & 0.0013812544483919 & 0.00276250889678381 & 0.998618745551608 \tabularnewline
420 & 0.00115874697788284 & 0.00231749395576568 & 0.998841253022117 \tabularnewline
421 & 0.00118046567080624 & 0.00236093134161248 & 0.998819534329194 \tabularnewline
422 & 0.00133034819795414 & 0.00266069639590828 & 0.998669651802046 \tabularnewline
423 & 0.00102414847569971 & 0.00204829695139942 & 0.9989758515243 \tabularnewline
424 & 0.000905747784713596 & 0.00181149556942719 & 0.999094252215286 \tabularnewline
425 & 0.000707288473643378 & 0.00141457694728676 & 0.999292711526357 \tabularnewline
426 & 0.000843604532754286 & 0.00168720906550857 & 0.999156395467246 \tabularnewline
427 & 0.000686485457259804 & 0.00137297091451961 & 0.99931351454274 \tabularnewline
428 & 0.000532562556447725 & 0.00106512511289545 & 0.999467437443552 \tabularnewline
429 & 0.000408381213930138 & 0.000816762427860276 & 0.99959161878607 \tabularnewline
430 & 0.000322082164038554 & 0.000644164328077109 & 0.999677917835961 \tabularnewline
431 & 0.000274923534352535 & 0.00054984706870507 & 0.999725076465647 \tabularnewline
432 & 0.000194326035563034 & 0.000388652071126067 & 0.999805673964437 \tabularnewline
433 & 0.00021032818453913 & 0.00042065636907826 & 0.999789671815461 \tabularnewline
434 & 0.000164286423249428 & 0.000328572846498856 & 0.999835713576751 \tabularnewline
435 & 0.000114455689815069 & 0.000228911379630138 & 0.999885544310185 \tabularnewline
436 & 8.88369971184765e-05 & 0.000177673994236953 & 0.999911163002882 \tabularnewline
437 & 8.03049754144363e-05 & 0.000160609950828873 & 0.999919695024586 \tabularnewline
438 & 5.57956568884511e-05 & 0.000111591313776902 & 0.999944204343112 \tabularnewline
439 & 3.78101851502653e-05 & 7.56203703005306e-05 & 0.99996218981485 \tabularnewline
440 & 2.71270459549677e-05 & 5.42540919099354e-05 & 0.999972872954045 \tabularnewline
441 & 0.000345277923026249 & 0.000690555846052498 & 0.999654722076974 \tabularnewline
442 & 0.00025262893713695 & 0.0005052578742739 & 0.999747371062863 \tabularnewline
443 & 0.000347381571887973 & 0.000694763143775946 & 0.999652618428112 \tabularnewline
444 & 0.000392933903608655 & 0.00078586780721731 & 0.999607066096391 \tabularnewline
445 & 0.000348720915172794 & 0.000697441830345587 & 0.999651279084827 \tabularnewline
446 & 0.000329504973110327 & 0.000659009946220654 & 0.99967049502689 \tabularnewline
447 & 0.000325067006626573 & 0.000650134013253145 & 0.999674932993373 \tabularnewline
448 & 0.000472783046891565 & 0.00094556609378313 & 0.999527216953108 \tabularnewline
449 & 0.000378844949078791 & 0.000757689898157582 & 0.999621155050921 \tabularnewline
450 & 0.000255408093004435 & 0.000510816186008871 & 0.999744591906996 \tabularnewline
451 & 0.000170013040507971 & 0.000340026081015941 & 0.999829986959492 \tabularnewline
452 & 0.000682682466789602 & 0.0013653649335792 & 0.99931731753321 \tabularnewline
453 & 0.000708787063360858 & 0.00141757412672172 & 0.999291212936639 \tabularnewline
454 & 0.000579955093427603 & 0.00115991018685521 & 0.999420044906572 \tabularnewline
455 & 0.000493199111122494 & 0.000986398222244988 & 0.999506800888878 \tabularnewline
456 & 0.00183703192400549 & 0.00367406384801099 & 0.998162968075994 \tabularnewline
457 & 0.00129193599139899 & 0.00258387198279799 & 0.998708064008601 \tabularnewline
458 & 0.000884149398154216 & 0.00176829879630843 & 0.999115850601846 \tabularnewline
459 & 0.000835562990636909 & 0.00167112598127382 & 0.999164437009363 \tabularnewline
460 & 0.015527530066842 & 0.031055060133684 & 0.984472469933158 \tabularnewline
461 & 0.0112788376440048 & 0.0225576752880095 & 0.988721162355995 \tabularnewline
462 & 0.00807896225102152 & 0.016157924502043 & 0.991921037748978 \tabularnewline
463 & 0.0139193855928748 & 0.0278387711857496 & 0.986080614407125 \tabularnewline
464 & 0.00998824384864893 & 0.0199764876972979 & 0.990011756151351 \tabularnewline
465 & 0.00710513467614293 & 0.0142102693522859 & 0.992894865323857 \tabularnewline
466 & 0.00827846756040199 & 0.016556935120804 & 0.991721532439598 \tabularnewline
467 & 0.00573617339211764 & 0.0114723467842353 & 0.994263826607882 \tabularnewline
468 & 0.0106057701292953 & 0.0212115402585907 & 0.989394229870705 \tabularnewline
469 & 0.0086070053992266 & 0.0172140107984532 & 0.991392994600773 \tabularnewline
470 & 0.00694237630638471 & 0.0138847526127694 & 0.993057623693615 \tabularnewline
471 & 0.00971474840262087 & 0.0194294968052417 & 0.990285251597379 \tabularnewline
472 & 0.00627187538641915 & 0.0125437507728383 & 0.993728124613581 \tabularnewline
473 & 0.00476062792912372 & 0.00952125585824743 & 0.995239372070876 \tabularnewline
474 & 0.0158910614320531 & 0.0317821228641062 & 0.984108938567947 \tabularnewline
475 & 0.0112644208440392 & 0.0225288416880784 & 0.988735579155961 \tabularnewline
476 & 0.00727278741526982 & 0.0145455748305396 & 0.99272721258473 \tabularnewline
477 & 0.0220995115955585 & 0.0441990231911171 & 0.977900488404441 \tabularnewline
478 & 0.0718065418826245 & 0.143613083765249 & 0.928193458117376 \tabularnewline
479 & 0.0603349201003664 & 0.120669840200733 & 0.939665079899634 \tabularnewline
480 & 0.103680411992855 & 0.20736082398571 & 0.896319588007145 \tabularnewline
481 & 0.152172933648003 & 0.304345867296007 & 0.847827066351997 \tabularnewline
482 & 0.525355123507731 & 0.949289752984538 & 0.474644876492269 \tabularnewline
483 & 0.447696725073841 & 0.895393450147682 & 0.552303274926159 \tabularnewline
484 & 0.416840866339928 & 0.833681732679855 & 0.583159133660072 \tabularnewline
485 & 1 & 5.99249947039427e-36 & 2.99624973519713e-36 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154359&T=5

[TABLE]
[ROW][C]Goldfeld-Quandt test for Heteroskedasticity[/C][/ROW]
[ROW][C]p-values[/C][C]Alternative Hypothesis[/C][/ROW]
[ROW][C]breakpoint index[/C][C]greater[/C][C]2-sided[/C][C]less[/C][/ROW]
[ROW][C]15[/C][C]1.28166739394663e-05[/C][C]2.56333478789326e-05[/C][C]0.999987183326061[/C][/ROW]
[ROW][C]16[/C][C]0.00141716722479225[/C][C]0.00283433444958449[/C][C]0.998582832775208[/C][/ROW]
[ROW][C]17[/C][C]0.00168085407851523[/C][C]0.00336170815703046[/C][C]0.998319145921485[/C][/ROW]
[ROW][C]18[/C][C]0.000334461718618174[/C][C]0.000668923437236348[/C][C]0.999665538281382[/C][/ROW]
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[ROW][C]456[/C][C]0.00183703192400549[/C][C]0.00367406384801099[/C][C]0.998162968075994[/C][/ROW]
[ROW][C]457[/C][C]0.00129193599139899[/C][C]0.00258387198279799[/C][C]0.998708064008601[/C][/ROW]
[ROW][C]458[/C][C]0.000884149398154216[/C][C]0.00176829879630843[/C][C]0.999115850601846[/C][/ROW]
[ROW][C]459[/C][C]0.000835562990636909[/C][C]0.00167112598127382[/C][C]0.999164437009363[/C][/ROW]
[ROW][C]460[/C][C]0.015527530066842[/C][C]0.031055060133684[/C][C]0.984472469933158[/C][/ROW]
[ROW][C]461[/C][C]0.0112788376440048[/C][C]0.0225576752880095[/C][C]0.988721162355995[/C][/ROW]
[ROW][C]462[/C][C]0.00807896225102152[/C][C]0.016157924502043[/C][C]0.991921037748978[/C][/ROW]
[ROW][C]463[/C][C]0.0139193855928748[/C][C]0.0278387711857496[/C][C]0.986080614407125[/C][/ROW]
[ROW][C]464[/C][C]0.00998824384864893[/C][C]0.0199764876972979[/C][C]0.990011756151351[/C][/ROW]
[ROW][C]465[/C][C]0.00710513467614293[/C][C]0.0142102693522859[/C][C]0.992894865323857[/C][/ROW]
[ROW][C]466[/C][C]0.00827846756040199[/C][C]0.016556935120804[/C][C]0.991721532439598[/C][/ROW]
[ROW][C]467[/C][C]0.00573617339211764[/C][C]0.0114723467842353[/C][C]0.994263826607882[/C][/ROW]
[ROW][C]468[/C][C]0.0106057701292953[/C][C]0.0212115402585907[/C][C]0.989394229870705[/C][/ROW]
[ROW][C]469[/C][C]0.0086070053992266[/C][C]0.0172140107984532[/C][C]0.991392994600773[/C][/ROW]
[ROW][C]470[/C][C]0.00694237630638471[/C][C]0.0138847526127694[/C][C]0.993057623693615[/C][/ROW]
[ROW][C]471[/C][C]0.00971474840262087[/C][C]0.0194294968052417[/C][C]0.990285251597379[/C][/ROW]
[ROW][C]472[/C][C]0.00627187538641915[/C][C]0.0125437507728383[/C][C]0.993728124613581[/C][/ROW]
[ROW][C]473[/C][C]0.00476062792912372[/C][C]0.00952125585824743[/C][C]0.995239372070876[/C][/ROW]
[ROW][C]474[/C][C]0.0158910614320531[/C][C]0.0317821228641062[/C][C]0.984108938567947[/C][/ROW]
[ROW][C]475[/C][C]0.0112644208440392[/C][C]0.0225288416880784[/C][C]0.988735579155961[/C][/ROW]
[ROW][C]476[/C][C]0.00727278741526982[/C][C]0.0145455748305396[/C][C]0.99272721258473[/C][/ROW]
[ROW][C]477[/C][C]0.0220995115955585[/C][C]0.0441990231911171[/C][C]0.977900488404441[/C][/ROW]
[ROW][C]478[/C][C]0.0718065418826245[/C][C]0.143613083765249[/C][C]0.928193458117376[/C][/ROW]
[ROW][C]479[/C][C]0.0603349201003664[/C][C]0.120669840200733[/C][C]0.939665079899634[/C][/ROW]
[ROW][C]480[/C][C]0.103680411992855[/C][C]0.20736082398571[/C][C]0.896319588007145[/C][/ROW]
[ROW][C]481[/C][C]0.152172933648003[/C][C]0.304345867296007[/C][C]0.847827066351997[/C][/ROW]
[ROW][C]482[/C][C]0.525355123507731[/C][C]0.949289752984538[/C][C]0.474644876492269[/C][/ROW]
[ROW][C]483[/C][C]0.447696725073841[/C][C]0.895393450147682[/C][C]0.552303274926159[/C][/ROW]
[ROW][C]484[/C][C]0.416840866339928[/C][C]0.833681732679855[/C][C]0.583159133660072[/C][/ROW]
[ROW][C]485[/C][C]1[/C][C]5.99249947039427e-36[/C][C]2.99624973519713e-36[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=154359&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154359&T=5

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Goldfeld-Quandt test for Heteroskedasticity
p-values	Alternative Hypothesis
breakpoint index	greater	2-sided	less
15	1.28166739394663e-05	2.56333478789326e-05	0.999987183326061
16	0.00141716722479225	0.00283433444958449	0.998582832775208
17	0.00168085407851523	0.00336170815703046	0.998319145921485
18	0.000334461718618174	0.000668923437236348	0.999665538281382
19	0.0066127912197576	0.0132255824395152	0.993387208780242
20	0.00406933748570261	0.00813867497140522	0.995930662514297
21	0.00199081652395884	0.00398163304791768	0.998009183476041
22	0.0111573773138612	0.0223147546277224	0.988842622686139
23	0.348776326651871	0.697552653303743	0.651223673348129
24	0.276307842300916	0.552615684601832	0.723692157699084
25	0.250667804928062	0.501335609856124	0.749332195071938
26	0.250940123754119	0.501880247508238	0.749059876245881
27	0.256850970328723	0.513701940657446	0.743149029671277
28	0.246134254427034	0.492268508854069	0.753865745572966
29	0.190919443765295	0.38183888753059	0.809080556234705
30	0.145115234219895	0.29023046843979	0.854884765780105
31	0.108563327449886	0.217126654899772	0.891436672550114
32	0.12764339166038	0.255286783320761	0.87235660833962
33	0.106131924450557	0.212263848901113	0.893868075549443
34	0.148234589070354	0.296469178140708	0.851765410929646
35	0.125483863988174	0.250967727976348	0.874516136011826
36	0.132141721475081	0.264283442950163	0.867858278524918
37	0.105197814846334	0.210395629692668	0.894802185153666
38	0.170537395727005	0.34107479145401	0.829462604272995
39	0.139978638669903	0.279957277339806	0.860021361330097
40	0.114026051616659	0.228052103233319	0.885973948383341
41	0.0910414306906173	0.182082861381235	0.908958569309383
42	0.142699766993369	0.285399533986739	0.857300233006631
43	0.145128478823037	0.290256957646074	0.854871521176963
44	0.177074194835231	0.354148389670461	0.822925805164769
45	0.14563276594203	0.291265531884059	0.85436723405797
46	0.467193582589766	0.934387165179531	0.532806417410234
47	0.626444271806282	0.747111456387436	0.373555728193718
48	0.64212837451847	0.715743250963059	0.35787162548153
49	0.608973914532218	0.782052170935563	0.391026085467782
50	0.604289835965844	0.791420328068312	0.395710164034156
51	0.566564005057808	0.866871989884383	0.433435994942192
52	0.563240015207946	0.873519969584109	0.436759984792054
53	0.554955204990114	0.890089590019772	0.445044795009886
54	0.519924835332505	0.960150329334991	0.480075164667495
55	0.488846306824129	0.977692613648257	0.511153693175871
56	0.51058322027699	0.97883355944602	0.48941677972301
57	0.537373041420417	0.925253917159165	0.462626958579583
58	0.548902363735746	0.902195272528509	0.451097636264254
59	0.513627863155895	0.97274427368821	0.486372136844105
60	0.541303307718922	0.917393384562157	0.458696692281078
61	0.509536428094919	0.980927143810161	0.490463571905081
62	0.511540022008615	0.97691995598277	0.488459977991385
63	0.719468972371832	0.561062055256335	0.280531027628168
64	0.684099535445935	0.631800929108129	0.315900464554065
65	0.665286234179521	0.669427531640957	0.334713765820479
66	0.642322943784817	0.715354112430365	0.357677056215182
67	0.616294260553061	0.767411478893879	0.383705739446939
68	0.588900128897227	0.822199742205546	0.411099871102773
69	0.617362894499333	0.765274211001335	0.382637105500667
70	0.603637484903923	0.792725030192153	0.396362515096077
71	0.589815974166368	0.820368051667265	0.410184025833632
72	0.557306210283102	0.885387579433796	0.442693789716898
73	0.522230928003079	0.955538143993842	0.477769071996921
74	0.571994707210914	0.856010585578173	0.428005292789087
75	0.554649678475716	0.890700643048567	0.445350321524284
76	0.526892963021778	0.946214073956444	0.473107036978222
77	0.498515333938044	0.997030667876087	0.501484666061956
78	0.509351458154883	0.981297083690234	0.490648541845117
79	0.477634271202602	0.955268542405203	0.522365728797398
80	0.521738805621741	0.956522388756518	0.478261194378259
81	0.491528890113477	0.983057780226953	0.508471109886523
82	0.454959216973477	0.909918433946955	0.545040783026522
83	0.420019106441062	0.840038212882125	0.579980893558938
84	0.385122701903713	0.770245403807426	0.614877298096287
85	0.382339714210102	0.764679428420204	0.617660285789898
86	0.375764697065267	0.751529394130534	0.624235302934733
87	0.394849751574685	0.789699503149371	0.605150248425315
88	0.370685607099024	0.741371214198048	0.629314392900976
89	0.351412471170396	0.702824942340793	0.648587528829604
90	0.319630279522009	0.639260559044017	0.680369720477991
91	0.292246755631508	0.584493511263016	0.707753244368492
92	0.284207481106151	0.568414962212301	0.715792518893849
93	0.281032414198385	0.562064828396771	0.718967585801615
94	0.26050277805614	0.52100555611228	0.73949722194386
95	0.262689114787969	0.525378229575937	0.737310885212031
96	0.289653634118203	0.579307268236406	0.710346365881797
97	0.26998251707434	0.539965034148679	0.73001748292566
98	0.246096153440214	0.492192306880428	0.753903846559786
99	0.222586178023616	0.445172356047233	0.777413821976384
100	0.233662569974237	0.467325139948475	0.766337430025763
101	0.257123995160855	0.51424799032171	0.742876004839145
102	0.242183158783262	0.484366317566525	0.757816841216738
103	0.25070766880415	0.5014153376083	0.74929233119585
104	0.225095173689121	0.450190347378243	0.774904826310879
105	0.203586411867804	0.407172823735608	0.796413588132196
106	0.181087329798427	0.362174659596853	0.818912670201573
107	0.160093392931937	0.320186785863874	0.839906607068063
108	0.146837647550076	0.293675295100151	0.853162352449924
109	0.160219188152931	0.320438376305863	0.839780811847069
110	0.164093244697334	0.328186489394668	0.835906755302666
111	0.153796460570279	0.307592921140558	0.846203539429721
112	0.136338870695917	0.272677741391833	0.863661129304083
113	0.120694069944359	0.241388139888718	0.879305930055641
114	0.107139588363265	0.214279176726531	0.892860411636735
115	0.0995197891437637	0.199039578287527	0.900480210856236
116	0.0870309414921451	0.17406188298429	0.912969058507855
117	0.0872559046778228	0.174511809355646	0.912744095322177
118	0.0903116392891069	0.180623278578214	0.909688360710893
119	0.0784239922936094	0.156847984587219	0.921576007706391
120	0.104265879682294	0.208531759364589	0.895734120317705
121	0.114112750782061	0.228225501564123	0.885887249217938
122	0.100156704550617	0.200313409101234	0.899843295449383
123	0.0879178830252247	0.175835766050449	0.912082116974775
124	0.07810129131353	0.15620258262706	0.92189870868647
125	0.0685069763887325	0.137013952777465	0.931493023611268
126	0.0639402276192783	0.127880455238557	0.936059772380722
127	0.0579521296627912	0.115904259325582	0.942047870337209
128	0.0516343413310518	0.103268682662104	0.948365658668948
129	0.0865461106258057	0.173092221251611	0.913453889374194
130	0.0808977563224565	0.161795512644913	0.919102243677543
131	0.0764752070289507	0.152950414057901	0.923524792971049
132	0.0862214213579266	0.172442842715853	0.913778578642073
133	0.0944882702537986	0.188976540507597	0.905511729746201
134	0.0861924686486181	0.172384937297236	0.913807531351382
135	0.0968337617148713	0.193667523429743	0.903166238285129
136	0.0882351938671353	0.176470387734271	0.911764806132865
137	0.0789147709448061	0.157829541889612	0.921085229055194
138	0.0694982079439037	0.138996415887807	0.930501792056096
139	0.0601775627313368	0.120355125462674	0.939822437268663
140	0.051833889076346	0.103667778152692	0.948166110923654
141	0.0465421114938702	0.0930842229877404	0.95345788850613
142	0.0409653187508497	0.0819306375016994	0.95903468124915
143	0.0408815970792976	0.0817631941585952	0.959118402920702
144	0.0383721413628957	0.0767442827257915	0.961627858637104
145	0.0385781411916848	0.0771562823833696	0.961421858808315
146	0.0342259420931524	0.0684518841863048	0.965774057906848
147	0.0292047731628163	0.0584095463256327	0.970795226837184
148	0.0246744859846134	0.0493489719692268	0.975325514015387
149	0.0226506790818152	0.0453013581636303	0.977349320918185
150	0.0217928306036884	0.0435856612073768	0.978207169396312
151	0.0195160634883674	0.0390321269767349	0.980483936511633
152	0.0284823655489372	0.0569647310978744	0.971517634451063
153	0.0255208547075151	0.0510417094150302	0.974479145292485
154	0.0227144813273609	0.0454289626547219	0.977285518672639
155	0.0198116333163238	0.0396232666326476	0.980188366683676
156	0.0172858514723353	0.0345717029446707	0.982714148527665
157	0.0151139482085691	0.0302278964171382	0.984886051791431
158	0.0132390447246491	0.0264780894492982	0.986760955275351
159	0.0114021021616343	0.0228042043232685	0.988597897838366
160	0.0166217162026227	0.0332434324052453	0.983378283797377
161	0.0139595773266201	0.0279191546532402	0.98604042267338
162	0.0340053301066737	0.0680106602133474	0.965994669893326
163	0.0304192144105749	0.0608384288211498	0.969580785589425
164	0.0258857001175001	0.0517714002350001	0.9741142998825
165	0.0219392205379438	0.0438784410758876	0.978060779462056
166	0.0186929537123452	0.0373859074246903	0.981307046287655
167	0.015876159597429	0.0317523191948581	0.984123840402571
168	0.0301629270194233	0.0603258540388466	0.969837072980577
169	0.0303261745043972	0.0606523490087944	0.969673825495603
170	0.028250484838753	0.0565009696775061	0.971749515161247
171	0.0376315732257783	0.0752631464515565	0.962368426774222
172	0.0352523320696698	0.0705046641393396	0.96474766793033
173	0.0329196954841797	0.0658393909683594	0.96708030451582
174	0.0285844150359794	0.0571688300719588	0.971415584964021
175	0.0264438153412545	0.052887630682509	0.973556184658745
176	0.0251332867777109	0.0502665735554217	0.974866713222289
177	0.0231526026081297	0.0463052052162595	0.97684739739187
178	0.0234167363644889	0.0468334727289778	0.976583263635511
179	0.0202219869148049	0.0404439738296097	0.979778013085195
180	0.0186560857225221	0.0373121714450443	0.981343914277478
181	0.0171643012261199	0.0343286024522397	0.98283569877388
182	0.0145380326315759	0.0290760652631518	0.985461967368424
183	0.0122995770993607	0.0245991541987214	0.987700422900639
184	0.0103122053343332	0.0206244106686665	0.989687794665667
185	0.0141864296220426	0.0283728592440852	0.985813570377957
186	0.0128548817773353	0.0257097635546705	0.987145118222665
187	0.0108241744368263	0.0216483488736527	0.989175825563174
188	0.00935708402921181	0.0187141680584236	0.990642915970788
189	0.00781848149018328	0.0156369629803666	0.992181518509817
190	0.00648823013618547	0.0129764602723709	0.993511769863815
191	0.0053642621988534	0.0107285243977068	0.994635737801147
192	0.00512936757759229	0.0102587351551846	0.994870632422408
193	0.00429838848380217	0.00859677696760433	0.995701611516198
194	0.00381127313618668	0.00762254627237336	0.996188726863813
195	0.00337434147786379	0.00674868295572758	0.996625658522136
196	0.00274855804088361	0.00549711608176723	0.997251441959116
197	0.00237220157079408	0.00474440314158817	0.997627798429206
198	0.00194236513196085	0.0038847302639217	0.998057634868039
199	0.00496461762350975	0.0099292352470195	0.99503538237649
200	0.00886684869910984	0.0177336973982197	0.99113315130089
201	0.0123584631111551	0.0247169262223102	0.987641536888845
202	0.0109356524386177	0.0218713048772353	0.989064347561382
203	0.0102359952827647	0.0204719905655295	0.989764004717235
204	0.00878946494744825	0.0175789298948965	0.991210535052552
205	0.00971841315261235	0.0194368263052247	0.990281586847388
206	0.0106883495857069	0.0213766991714137	0.989311650414293
207	0.0112218942661529	0.0224437885323059	0.988778105733847
208	0.00940272971463159	0.0188054594292632	0.990597270285368
209	0.0081103770648404	0.0162207541296808	0.99188962293516
210	0.00858494903076612	0.0171698980615322	0.991415050969234
211	0.00783643402146993	0.0156728680429399	0.99216356597853
212	0.00887252157194789	0.0177450431438958	0.991127478428052
213	0.00746150517794507	0.0149230103558901	0.992538494822055
214	0.00672291339660339	0.0134458267932068	0.993277086603397
215	0.00702844171499031	0.0140568834299806	0.99297155828501
216	0.00622841260855794	0.0124568252171159	0.993771587391442
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472	0.00627187538641915	0.0125437507728383	0.993728124613581
473	0.00476062792912372	0.00952125585824743	0.995239372070876
474	0.0158910614320531	0.0317821228641062	0.984108938567947
475	0.0112644208440392	0.0225288416880784	0.988735579155961
476	0.00727278741526982	0.0145455748305396	0.99272721258473
477	0.0220995115955585	0.0441990231911171	0.977900488404441
478	0.0718065418826245	0.143613083765249	0.928193458117376
479	0.0603349201003664	0.120669840200733	0.939665079899634
480	0.103680411992855	0.20736082398571	0.896319588007145
481	0.152172933648003	0.304345867296007	0.847827066351997
482	0.525355123507731	0.949289752984538	0.474644876492269
483	0.447696725073841	0.895393450147682	0.552303274926159
484	0.416840866339928	0.833681732679855	0.583159133660072
485	1	5.99249947039427e-36	2.99624973519713e-36

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description	# significant tests	% significant tests	OK/NOK
1% type I error level	76	0.16135881104034	NOK
5% type I error level	269	0.571125265392781	NOK
10% type I error level	332	0.704883227176221	NOK

\begin{tabular}{lllllllll}
\hline
Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
Description & # significant tests & % significant tests & OK/NOK \tabularnewline
1% type I error level & 76 & 0.16135881104034 & NOK \tabularnewline
5% type I error level & 269 & 0.571125265392781 & NOK \tabularnewline
10% type I error level & 332 & 0.704883227176221 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154359&T=6

[TABLE]
[ROW][C]Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity[/C][/ROW]
[ROW][C]Description[/C][C]# significant tests[/C][C]% significant tests[/C][C]OK/NOK[/C][/ROW]
[ROW][C]1% type I error level[/C][C]76[/C][C]0.16135881104034[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]269[/C][C]0.571125265392781[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]332[/C][C]0.704883227176221[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=154359&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154359&T=6

As an alternative you can also use a QR Code:

The GUIDs for individual cells are displayed in the table below:

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description	# significant tests	% significant tests	OK/NOK
1% type I error level	76	0.16135881104034	NOK
5% type I error level	269	0.571125265392781	NOK
10% type I error level	332	0.704883227176221	NOK

Figure 1

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Figure 8

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Figure 9

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Figure 10

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Parameters (Session):

par1 = 12 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;

Parameters (R input):

par1 = 12 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;

R code (references can be found in the software module):

library(lattice)
library(lmtest)
n25 <- 25 #minimum number of obs. for Goldfeld-Quandt test
par1 <- as.numeric(par1)
x <- t(y)
k <- length(x[1,])
n <- length(x[,1])
x1 <- cbind(x[,par1], x[,1:k!=par1])
mycolnames <- c(colnames(x)[par1], colnames(x)[1:k!=par1])
colnames(x1) <- mycolnames #colnames(x)[par1]
x <- x1
if (par3 == 'First Differences'){
x2 <- array(0, dim=c(n-1,k), dimnames=list(1:(n-1), paste('(1-B)',colnames(x),sep='')))
for (i in 1:n-1) {
for (j in 1:k) {
x2[i,j] <- x[i+1,j] - x[i,j]
}
}
x <- x2
}
if (par2 == 'Include Monthly Dummies'){
x2 <- array(0, dim=c(n,11), dimnames=list(1:n, paste('M', seq(1:11), sep ='')))
for (i in 1:11){
x2[seq(i,n,12),i] <- 1
}
x <- cbind(x, x2)
}
if (par2 == 'Include Quarterly Dummies'){
x2 <- array(0, dim=c(n,3), dimnames=list(1:n, paste('Q', seq(1:3), sep ='')))
for (i in 1:3){
x2[seq(i,n,4),i] <- 1
}
x <- cbind(x, x2)
}
k <- length(x[1,])
if (par3 == 'Linear Trend'){
x <- cbind(x, c(1:n))
colnames(x)[k+1] <- 't'
}
x
k <- length(x[1,])
df <- as.data.frame(x)
(mylm <- lm(df))
(mysum <- summary(mylm))
if (n > n25) {
kp3 <- k + 3
nmkm3 <- n - k - 3
gqarr <- array(NA, dim=c(nmkm3-kp3+1,3))
numgqtests <- 0
numsignificant1 <- 0
numsignificant5 <- 0
numsignificant10 <- 0
for (mypoint in kp3:nmkm3) {
j <- 0
numgqtests <- numgqtests + 1
for (myalt in c('greater', 'two.sided', 'less')) {
j <- j + 1
gqarr[mypoint-kp3+1,j] <- gqtest(mylm, point=mypoint, alternative=myalt)$p.value
}
if (gqarr[mypoint-kp3+1,2] < 0.01) numsignificant1 <- numsignificant1 + 1
if (gqarr[mypoint-kp3+1,2] < 0.05) numsignificant5 <- numsignificant5 + 1
if (gqarr[mypoint-kp3+1,2] < 0.10) numsignificant10 <- numsignificant10 + 1
}
gqarr
}
bitmap(file='test0.png')
plot(x[,1], type='l', main='Actuals and Interpolation', ylab='value of Actuals and Interpolation (dots)', xlab='time or index')
points(x[,1]-mysum$resid)
grid()
dev.off()
bitmap(file='test1.png')
plot(mysum$resid, type='b', pch=19, main='Residuals', ylab='value of Residuals', xlab='time or index')
grid()
dev.off()
bitmap(file='test2.png')
hist(mysum$resid, main='Residual Histogram', xlab='values of Residuals')
grid()
dev.off()
bitmap(file='test3.png')
densityplot(~mysum$resid,col='black',main='Residual Density Plot', xlab='values of Residuals')
dev.off()
bitmap(file='test4.png')
qqnorm(mysum$resid, main='Residual Normal Q-Q Plot')
qqline(mysum$resid)
grid()
dev.off()
(myerror <- as.ts(mysum$resid))
bitmap(file='test5.png')
dum <- cbind(lag(myerror,k=1),myerror)
dum
dum1 <- dum[2:length(myerror),]
dum1
z <- as.data.frame(dum1)
z
plot(z,main=paste('Residual Lag plot, lowess, and regression line'), ylab='values of Residuals', xlab='lagged values of Residuals')
lines(lowess(z))
abline(lm(z))
grid()
dev.off()
bitmap(file='test6.png')
acf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Autocorrelation Function')
grid()
dev.off()
bitmap(file='test7.png')
pacf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Partial Autocorrelation Function')
grid()
dev.off()
bitmap(file='test8.png')
opar <- par(mfrow = c(2,2), oma = c(0, 0, 1.1, 0))
plot(mylm, las = 1, sub='Residual Diagnostics')
par(opar)
dev.off()
if (n > n25) {
bitmap(file='test9.png')
plot(kp3:nmkm3,gqarr[,2], main='Goldfeld-Quandt test',ylab='2-sided p-value',xlab='breakpoint')
grid()
dev.off()
}
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Estimated Regression Equation', 1, TRUE)
a<-table.row.end(a)
myeq <- colnames(x)[1]
myeq <- paste(myeq, '[t] = ', sep='')
for (i in 1:k){
if (mysum$coefficients[i,1] > 0) myeq <- paste(myeq, '+', '')
myeq <- paste(myeq, mysum$coefficients[i,1], sep=' ')
if (rownames(mysum$coefficients)[i] != '(Intercept)') {
myeq <- paste(myeq, rownames(mysum$coefficients)[i], sep='')
if (rownames(mysum$coefficients)[i] != 't') myeq <- paste(myeq, '[t]', sep='')
}
}
myeq <- paste(myeq, ' + e[t]')
a<-table.row.start(a)
a<-table.element(a, myeq)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable1.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,hyperlink('ols1.htm','Multiple Linear Regression - Ordinary Least Squares',''), 6, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Variable',header=TRUE)
a<-table.element(a,'Parameter',header=TRUE)
a<-table.element(a,'S.D.',header=TRUE)
a<-table.element(a,'T-STAT
H0: parameter = 0',header=TRUE)
a<-table.element(a,'2-tail p-value',header=TRUE)
a<-table.element(a,'1-tail p-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:k){
a<-table.row.start(a)
a<-table.element(a,rownames(mysum$coefficients)[i],header=TRUE)
a<-table.element(a,mysum$coefficients[i,1])
a<-table.element(a, round(mysum$coefficients[i,2],6))
a<-table.element(a, round(mysum$coefficients[i,3],4))
a<-table.element(a, round(mysum$coefficients[i,4],6))
a<-table.element(a, round(mysum$coefficients[i,4]/2,6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable2.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Regression Statistics', 2, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Multiple R',1,TRUE)
a<-table.element(a, sqrt(mysum$r.squared))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'R-squared',1,TRUE)
a<-table.element(a, mysum$r.squared)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Adjusted R-squared',1,TRUE)
a<-table.element(a, mysum$adj.r.squared)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (value)',1,TRUE)
a<-table.element(a, mysum$fstatistic[1])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (DF numerator)',1,TRUE)
a<-table.element(a, mysum$fstatistic[2])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (DF denominator)',1,TRUE)
a<-table.element(a, mysum$fstatistic[3])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'p-value',1,TRUE)
a<-table.element(a, 1-pf(mysum$fstatistic[1],mysum$fstatistic[2],mysum$fstatistic[3]))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Residual Statistics', 2, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Residual Standard Deviation',1,TRUE)
a<-table.element(a, mysum$sigma)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Sum Squared Residuals',1,TRUE)
a<-table.element(a, sum(myerror*myerror))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable3.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Actuals, Interpolation, and Residuals', 4, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Time or Index', 1, TRUE)
a<-table.element(a, 'Actuals', 1, TRUE)
a<-table.element(a, 'Interpolation
Forecast', 1, TRUE)
a<-table.element(a, 'Residuals
Prediction Error', 1, TRUE)
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,i, 1, TRUE)
a<-table.element(a,x[i])
a<-table.element(a,x[i]-mysum$resid[i])
a<-table.element(a,mysum$resid[i])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable4.tab')
if (n > n25) {
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Goldfeld-Quandt test for Heteroskedasticity',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'p-values',header=TRUE)
a<-table.element(a,'Alternative Hypothesis',3,header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'breakpoint index',header=TRUE)
a<-table.element(a,'greater',header=TRUE)
a<-table.element(a,'2-sided',header=TRUE)
a<-table.element(a,'less',header=TRUE)
a<-table.row.end(a)
for (mypoint in kp3:nmkm3) {
a<-table.row.start(a)
a<-table.element(a,mypoint,header=TRUE)
a<-table.element(a,gqarr[mypoint-kp3+1,1])
a<-table.element(a,gqarr[mypoint-kp3+1,2])
a<-table.element(a,gqarr[mypoint-kp3+1,3])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable5.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Description',header=TRUE)
a<-table.element(a,'# significant tests',header=TRUE)
a<-table.element(a,'% significant tests',header=TRUE)
a<-table.element(a,'OK/NOK',header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'1% type I error level',header=TRUE)
a<-table.element(a,numsignificant1)
a<-table.element(a,numsignificant1/numgqtests)
if (numsignificant1/numgqtests < 0.01) dum <- 'OK' else dum <- 'NOK'
a<-table.element(a,dum)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'5% type I error level',header=TRUE)
a<-table.element(a,numsignificant5)
a<-table.element(a,numsignificant5/numgqtests)
if (numsignificant5/numgqtests < 0.05) dum <- 'OK' else dum <- 'NOK'
a<-table.element(a,dum)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'10% type I error level',header=TRUE)
a<-table.element(a,numsignificant10)
a<-table.element(a,numsignificant10/numgqtests)
if (numsignificant10/numgqtests < 0.1) dum <- 'OK' else dum <- 'NOK'
a<-table.element(a,dum)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable6.tab')
}

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code