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R Software Module

rwasp_multipleregression.wasp

Title produced by software

Multiple Regression

Date of computation

Tue, 13 Dec 2011 11:21:41 -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/t1323793321cyzx9pie45dtm8q.htm/, Retrieved Thu, 02 May 2024 18:07:29 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=154489, Retrieved Thu, 02 May 2024 18:07:29 +0000

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User-defined keywords

Estimated Impact

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] [PLC] [2011-12-13 16:21:41] [8aedcf735e397266388b06f47fe45218] [Current]
-   P       [Multiple Regression] [PAG] [2011-12-13 23:00:12] [7156a20ff7d97880b6dc50f7239ba03b] 
-   PD        [Multiple Regression] [idk] [2011-12-14 00:09:42] [7156a20ff7d97880b6dc50f7239ba03b] 

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Dataseries X:

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7	0.27	0.36	20.7	0.045	45	170	1.001	3	0.45	8.8	6
6.3	0.3	0.34	1.6	0.049	14	132	0.994	3.3	0.49	9.5	6
8.1	0.28	0.4	6.9	0.05	30	97	0.9951	3.26	0.44	10.1	6
7.2	0.23	0.32	8.5	0.058	47	186	0.9956	3.19	0.4	9.9	6
7.2	0.23	0.32	8.5	0.058	47	186	0.9956	3.19	0.4	9.9	6
8.1	0.28	0.4	6.9	0.05	30	97	0.9951	3.26	0.44	10.1	6
6.2	0.32	0.16	7	0.045	30	136	0.9949	3.18	0.47	9.6	6
7	0.27	0.36	20.7	0.045	45	170	1.001	3	0.45	8.8	6
6.3	0.3	0.34	1.6	0.049	14	132	0.994	3.3	0.49	9.5	6
8.1	0.22	0.43	1.5	0.044	28	129	0.9938	3.22	0.45	11	6
8.1	0.27	0.41	1.45	0.033	11	63	0.9908	2.99	0.56	12	5
8.6	0.23	0.4	4.2	0.035	17	109	0.9947	3.14	0.53	9.7	5
7.9	0.18	0.37	1.2	0.04	16	75	0.992	3.18	0.63	10.8	5
6.6	0.16	0.4	1.5	0.044	48	143	0.9912	3.54	0.52	12.4	7
8.3	0.42	0.62	19.25	0.04	41	172	1.0002	2.98	0.67	9.7	5
6.6	0.17	0.38	1.5	0.032	28	112	0.9914	3.25	0.55	11.4	7
6.3	0.48	0.04	1.1	0.046	30	99	0.9928	3.24	0.36	9.6	6
6.2	0.66	0.48	1.2	0.029	29	75	0.9892	3.33	0.39	12.8	8
7.4	0.34	0.42	1.1	0.033	17	171	0.9917	3.12	0.53	11.3	6
6.5	0.31	0.14	7.5	0.044	34	133	0.9955	3.22	0.5	9.5	5
6.2	0.66	0.48	1.2	0.029	29	75	0.9892	3.33	0.39	12.8	8
6.4	0.31	0.38	2.9	0.038	19	102	0.9912	3.17	0.35	11	7
6.8	0.26	0.42	1.7	0.049	41	122	0.993	3.47	0.48	10.5	8
7.6	0.67	0.14	1.5	0.074	25	168	0.9937	3.05	0.51	9.3	5
6.6	0.27	0.41	1.3	0.052	16	142	0.9951	3.42	0.47	10	6
7	0.25	0.32	9	0.046	56	245	0.9955	3.25	0.5	10.4	6
6.9	0.24	0.35	1	0.052	35	146	0.993	3.45	0.44	10	6
7	0.28	0.39	8.7	0.051	32	141	0.9961	3.38	0.53	10.5	6
7.4	0.27	0.48	1.1	0.047	17	132	0.9914	3.19	0.49	11.6	6
7.2	0.32	0.36	2	0.033	37	114	0.9906	3.1	0.71	12.3	7
8.5	0.24	0.39	10.4	0.044	20	142	0.9974	3.2	0.53	10	6
8.3	0.14	0.34	1.1	0.042	7	47	0.9934	3.47	0.4	10.2	6
7.4	0.25	0.36	2.05	0.05	31	100	0.992	3.19	0.44	10.8	6
6.2	0.12	0.34	1.5	0.045	43	117	0.9939	3.42	0.51	9	6
5.8	0.27	0.2	14.95	0.044	22	179	0.9962	3.37	0.37	10.2	5
7.3	0.28	0.43	1.7	0.08	21	123	0.9905	3.19	0.42	12.8	5
6.5	0.39	0.23	5.4	0.051	25	149	0.9934	3.24	0.35	10	5
7	0.33	0.32	1.2	0.053	38	138	0.9906	3.13	0.28	11.2	6
7.3	0.24	0.39	17.95	0.057	45	149	0.9999	3.21	0.36	8.6	5
7.3	0.24	0.39	17.95	0.057	45	149	0.9999	3.21	0.36	8.6	5
6.7	0.23	0.39	2.5	0.172	63	158	0.9937	3.11	0.36	9.4	6
6.7	0.24	0.39	2.9	0.173	63	157	0.9937	3.1	0.34	9.4	6
7	0.31	0.26	7.4	0.069	28	160	0.9954	3.13	0.46	9.8	6
6.6	0.24	0.27	1.4	0.057	33	152	0.9934	3.22	0.56	9.5	6
6.7	0.23	0.26	1.4	0.06	33	154	0.9934	3.24	0.56	9.5	6
7.4	0.18	0.31	1.4	0.058	38	167	0.9931	3.16	0.53	10	7
6.2	0.45	0.26	4.4	0.063	63	206	0.994	3.27	0.52	9.8	4
6.2	0.46	0.25	4.4	0.066	62	207	0.9939	3.25	0.52	9.8	5
7	0.31	0.26	7.4	0.069	28	160	0.9954	3.13	0.46	9.8	6
6.9	0.19	0.35	5	0.067	32	150	0.995	3.36	0.48	9.8	5
7.2	0.19	0.31	1.6	0.062	31	173	0.9917	3.35	0.44	11.7	6
6.6	0.25	0.29	1.1	0.068	39	124	0.9914	3.34	0.58	11	7
6.2	0.16	0.33	1.1	0.057	21	82	0.991	3.32	0.46	10.9	7
6.4	0.18	0.35	1	0.045	39	108	0.9911	3.31	0.35	10.9	6
6.8	0.2	0.59	0.9	0.147	38	132	0.993	3.05	0.38	9.1	6
6.9	0.25	0.35	1.3	0.039	29	191	0.9908	3.13	0.52	11	6
7.2	0.21	0.34	11.9	0.043	37	213	0.9962	3.09	0.5	9.6	6
6	0.19	0.26	12.4	0.048	50	147	0.9972	3.3	0.36	8.9	6
6.6	0.38	0.15	4.6	0.044	25	78	0.9931	3.11	0.38	10.2	6
7.4	0.2	0.36	1.2	0.038	44	111	0.9926	3.36	0.34	9.9	6
6.8	0.22	0.24	4.9	0.092	30	123	0.9951	3.03	0.46	8.6	6
6	0.19	0.26	12.4	0.048	50	147	0.9972	3.3	0.36	8.9	6
7	0.47	0.07	1.1	0.035	17	151	0.991	3.02	0.34	10.5	5
6.6	0.38	0.15	4.6	0.044	25	78	0.9931	3.11	0.38	10.2	6
7.2	0.24	0.27	1.4	0.038	31	122	0.9927	3.15	0.46	10.3	6
6.2	0.35	0.03	1.2	0.064	29	120	0.9934	3.22	0.54	9.1	5
6.4	0.26	0.24	6.4	0.04	27	124	0.9903	3.22	0.49	12.6	7
6.7	0.25	0.13	1.2	0.041	81	174	0.992	3.14	0.42	9.8	5
6.7	0.23	0.31	2.1	0.046	30	96	0.9926	3.33	0.64	10.7	8
7.4	0.24	0.29	10.1	0.05	21	105	0.9962	3.13	0.35	9.5	5
6.2	0.27	0.43	7.8	0.056	48	244	0.9956	3.1	0.51	9	6
6.8	0.3	0.23	4.6	0.061	50.5	238.5	0.9958	3.32	0.6	9.5	5
6	0.27	0.28	4.8	0.063	31	201	0.9964	3.69	0.71	10	5
8.6	0.23	0.46	1	0.054	9	72	0.9941	2.95	0.49	9.1	6
6.7	0.23	0.31	2.1	0.046	30	96	0.9926	3.33	0.64	10.7	8
7.4	0.24	0.29	10.1	0.05	21	105	0.9962	3.13	0.35	9.5	5
7.1	0.18	0.36	1.4	0.043	31	87	0.9898	3.26	0.37	12.7	7
7	0.32	0.34	1.3	0.042	20	69	0.9912	3.31	0.65	12	7
7.4	0.18	0.3	8.8	0.064	26	103	0.9961	2.94	0.56	9.3	5
6.7	0.54	0.28	5.4	0.06	21	105	0.9949	3.27	0.37	9	5
6.8	0.22	0.31	1.4	0.053	34	114	0.9929	3.39	0.77	10.6	6
7.1	0.2	0.34	16	0.05	51	166	0.9985	3.21	0.6	9.2	6
7.1	0.34	0.2	6.1	0.063	47	164	0.9946	3.17	0.42	10	5
7.3	0.22	0.3	8.2	0.047	42	207	0.9966	3.33	0.46	9.5	6
7.1	0.43	0.61	11.8	0.045	54	155	0.9974	3.11	0.45	8.7	5
7.1	0.44	0.62	11.8	0.044	52	152	0.9975	3.12	0.46	8.7	6
7.2	0.39	0.63	11	0.044	55	156	0.9974	3.09	0.44	8.7	6
6.8	0.25	0.31	13.3	0.05	69	202	0.9972	3.22	0.48	9.7	6
7.1	0.43	0.61	11.8	0.045	54	155	0.9974	3.11	0.45	8.7	5
7.1	0.44	0.62	11.8	0.044	52	152	0.9975	3.12	0.46	8.7	6
7.2	0.39	0.63	11	0.044	55	156	0.9974	3.09	0.44	8.7	6
6.1	0.27	0.43	7.5	0.049	65	243	0.9957	3.12	0.47	9	5
6.9	0.24	0.33	1.7	0.035	47	136	0.99	3.26	0.4	12.6	7
6.9	0.21	0.33	1.8	0.034	48	136	0.9899	3.25	0.41	12.6	7
7.5	0.17	0.32	1.7	0.04	51	148	0.9916	3.21	0.44	11.5	7
7.1	0.26	0.29	12.4	0.044	62	240	0.9969	3.04	0.42	9.2	6
6	0.34	0.66	15.9	0.046	26	164	0.9979	3.14	0.5	8.8	6
8.6	0.265	0.36	1.2	0.034	15	80	0.9913	2.95	0.36	11.4	7
9.8	0.36	0.46	10.5	0.038	4	83	0.9956	2.89	0.3	10.1	4
6	0.34	0.66	15.9	0.046	26	164	0.9979	3.14	0.5	8.8	6
7.4	0.25	0.37	13.5	0.06	52	192	0.9975	3	0.44	9.1	5
7.1	0.12	0.32	9.6	0.054	64	162	0.9962	3.4	0.41	9.4	5
6	0.21	0.24	12.1	0.05	55	164	0.997	3.34	0.39	9.4	5
7.5	0.305	0.4	18.9	0.059	44	170	1	2.99	0.46	9	5
7.4	0.25	0.37	13.5	0.06	52	192	0.9975	3	0.44	9.1	5
7.3	0.13	0.32	14.4	0.051	34	109	0.9974	3.2	0.35	9.2	6
7.1	0.12	0.32	9.6	0.054	64	162	0.9962	3.4	0.41	9.4	5
7.1	0.23	0.35	16.5	0.04	60	171	0.999	3.16	0.59	9.1	6
7.1	0.23	0.35	16.5	0.04	60	171	0.999	3.16	0.59	9.1	6
6.9	0.33	0.28	1.3	0.051	37	187	0.9927	3.27	0.6	10.3	5
6.5	0.17	0.54	8.5	0.082	64	163	0.9959	2.89	0.39	8.8	6
7.2	0.27	0.46	18.75	0.052	45	255	1	3.04	0.52	8.9	5
7.2	0.31	0.5	13.3	0.056	68	195	0.9982	3.01	0.47	9.2	5
6.7	0.41	0.34	9.2	0.049	29	150	0.9968	3.22	0.51	9.1	5
6.7	0.41	0.34	9.2	0.049	29	150	0.9968	3.22	0.51	9.1	5
5.5	0.485	0	1.5	0.065	8	103	0.994	3.63	0.4	9.7	4
6	0.31	0.24	3.3	0.041	25	143	0.9914	3.31	0.44	11.3	6
7	0.14	0.4	1.7	0.035	16	85	0.9911	3.19	0.42	11.8	6
7.2	0.31	0.5	13.3	0.056	68	195	0.9982	3.01	0.47	9.2	5
7.3	0.32	0.48	13.3	0.06	57	196	0.9982	3.04	0.5	9.2	5
5.9	0.36	0.04	5.7	0.046	21	87	0.9934	3.22	0.51	10.2	5
7.8	0.24	0.32	12.2	0.054	42	138	0.9984	3.01	0.54	8.8	5
7.4	0.16	0.31	6.85	0.059	31	131	0.9952	3.29	0.34	9.7	5
6.9	0.19	0.28	5	0.058	14	146	0.9952	3.29	0.36	9.1	6
6.4	0.13	0.47	1.6	0.092	40	158	0.9928	3.21	0.36	9.8	6
6.7	0.19	0.36	1.1	0.026	63	143	0.9912	3.27	0.48	11	6
7.4	0.39	0.23	7	0.033	29	126	0.994	3.14	0.42	10.5	5
6.5	0.24	0.32	7.6	0.038	48	203	0.9958	3.45	0.54	9.7	7
6.1	0.3	0.56	2.8	0.044	47	179	0.9924	3.3	0.57	10.9	7
6.1	0.3	0.56	2.7	0.046	46	184	0.9924	3.31	0.57	10.9	6
5.7	0.26	0.25	10.4	0.02	7	57	0.994	3.39	0.37	10.6	5
6.5	0.24	0.32	7.6	0.038	48	203	0.9958	3.45	0.54	9.7	7
6.5	0.425	0.4	13.1	0.038	59	241	0.9979	3.23	0.57	9	5
6.6	0.24	0.27	15.8	0.035	46	188	0.9982	3.24	0.51	9.2	5
6.8	0.27	0.22	8.1	0.034	55	203	0.9961	3.19	0.52	8.9	5
6.7	0.27	0.31	15.7	0.036	44	179	0.9979	3.26	0.56	9.6	5
8.2	0.23	0.4	1.2	0.027	36	121	0.992	3.12	0.38	10.7	6
7.1	0.37	0.67	10.5	0.045	49	155	0.9975	3.16	0.44	8.7	5
6.8	0.19	0.36	1.9	0.035	30	96	0.9917	3.15	0.54	10.8	7
8.1	0.28	0.39	1.9	0.029	18	79	0.9923	3.23	0.52	11.8	6
6.3	0.31	0.34	2.2	0.045	20	77	0.9927	3.3	0.43	10.2	5
7.1	0.37	0.67	10.5	0.045	49	155	0.9975	3.16	0.44	8.7	5
7.9	0.21	0.4	1.2	0.039	38	107	0.992	3.21	0.54	10.8	6
8.5	0.21	0.41	4.3	0.036	24	99	0.9947	3.18	0.53	9.7	6
8.1	0.2	0.4	2	0.037	19	87	0.9921	3.12	0.54	11.2	6
6.3	0.255	0.37	1.1	0.04	37	114	0.9905	3	0.39	10.9	6
5.6	0.16	0.27	1.4	0.044	53	168	0.9918	3.28	0.37	10.1	6
6.4	0.595	0.14	5.2	0.058	15	97	0.9951	3.38	0.36	9	4
6.3	0.34	0.33	4.6	0.034	19	80	0.9917	3.38	0.58	12	7
6.9	0.25	0.3	4.1	0.054	23	116	0.994	2.99	0.38	9.4	6
7.9	0.22	0.38	8	0.043	46	152	0.9934	3.12	0.32	11.5	7
7.6	0.18	0.46	10.2	0.055	58	135	0.9968	3.14	0.43	9.9	6
6.9	0.25	0.3	4.1	0.054	23	116	0.994	2.99	0.38	9.4	6
7.2	0.18	0.41	1.2	0.048	41	97	0.9919	3.14	0.45	10.4	5
8.2	0.23	0.4	7.5	0.049	12	76	0.9966	3.06	0.84	9.7	6
7.4	0.24	0.42	14	0.066	48	198	0.9979	2.89	0.42	8.9	6
7.4	0.24	0.42	14	0.066	48	198	0.9979	2.89	0.42	8.9	6
6.1	0.32	0.24	1.5	0.036	38	124	0.9898	3.29	0.42	12.4	7
5.2	0.44	0.04	1.4	0.036	43	119	0.9894	3.36	0.33	12.1	8
5.2	0.44	0.04	1.4	0.036	43	119	0.9894	3.36	0.33	12.1	8
6.1	0.32	0.24	1.5	0.036	38	124	0.9898	3.29	0.42	12.4	7
6.4	0.22	0.56	14.5	0.055	27	159	0.998	2.98	0.4	9.1	5
6.3	0.36	0.3	4.8	0.049	14	85	0.9932	3.28	0.39	10.6	5
7.4	0.24	0.42	14	0.066	48	198	0.9979	2.89	0.42	8.9	6
6.7	0.24	0.35	13.1	0.05	64	205	0.997	3.15	0.5	9.5	5
7	0.23	0.36	13	0.051	72	177	0.9972	3.16	0.49	9.8	5
8.4	0.27	0.46	8.7	0.048	39	197	0.9974	3.14	0.59	9.6	6
6.7	0.46	0.18	2.4	0.034	25	98	0.9896	3.08	0.44	12.6	7
7.5	0.29	0.31	8.95	0.055	20	151	0.9968	3.08	0.54	9.3	5
9.8	0.42	0.48	9.85	0.034	5	110	0.9958	2.87	0.29	10	5
7.1	0.3	0.46	1.5	0.066	29	133	0.9906	3.12	0.54	12.7	6
7.9	0.19	0.45	1.5	0.045	17	96	0.9917	3.13	0.39	11	6
7.6	0.48	0.37	0.8	0.037	4	100	0.9902	3.03	0.39	11.4	4
6.3	0.22	0.43	4.55	0.038	31	130	0.9918	3.35	0.33	11.5	7
7.5	0.27	0.31	17.7	0.051	33	173	0.999	3.09	0.64	10.2	5
6.9	0.23	0.4	7.5	0.04	50	151	0.9927	3.11	0.27	11.4	6
7.2	0.32	0.47	5.1	0.044	19	65	0.991	3.03	0.41	12.6	4
5.9	0.23	0.3	12.9	0.054	57	170	0.9972	3.28	0.39	9.4	5
6	0.67	0.07	1.2	0.06	9	108	0.9931	3.11	0.35	8.7	4
6.4	0.25	0.32	5.5	0.049	41	176	0.995	3.19	0.68	9.2	6
6.4	0.33	0.31	5.5	0.048	42	173	0.9951	3.19	0.66	9.3	6
7.1	0.34	0.15	1.2	0.053	61	183	0.9936	3.09	0.43	9.2	5
6.8	0.28	0.4	22	0.048	48	167	1.001	2.93	0.5	8.7	5
6.9	0.27	0.4	14	0.05	64	227	0.9979	3.18	0.58	9.6	6
6.8	0.26	0.56	11.9	0.043	64	226	0.997	3.02	0.63	9.3	5
6.8	0.29	0.56	11.9	0.043	66	230	0.9972	3.02	0.63	9.3	5
6.7	0.24	0.41	9.4	0.04	49	166	0.9954	3.12	0.61	9.9	6
5.9	0.3	0.23	4.2	0.038	42	119	0.9924	3.15	0.5	11	5
6.8	0.53	0.35	3.8	0.034	26	109	0.9906	3.26	0.57	12.7	8
6.5	0.28	0.28	8.5	0.047	54	210	0.9962	3.09	0.54	8.9	4
6.6	0.28	0.28	8.5	0.052	55	211	0.9962	3.09	0.55	8.9	6
6.8	0.28	0.4	22	0.048	48	167	1.001	2.93	0.5	8.7	5
6.8	0.28	0.36	8	0.045	28	123	0.9928	3.02	0.37	11.4	6
6.6	0.15	0.34	5.1	0.055	34	125	0.9942	3.36	0.42	9.6	5
6.4	0.29	0.44	3.6	0.2	75	181	0.9942	3.02	0.41	9.1	5
6.4	0.3	0.45	3.5	0.197	76	180	0.9942	3.02	0.39	9.1	6
6.4	0.29	0.44	3.6	0.197	75	183	0.9942	3.01	0.38	9.1	5
6.8	0.26	0.24	7.8	0.052	54	214	0.9961	3.13	0.47	8.9	5
7.1	0.32	0.24	13.1	0.05	52	204	0.998	3.1	0.49	8.8	5
6.8	0.26	0.24	7.8	0.052	54	214	0.9961	3.13	0.47	8.9	5
6.8	0.27	0.26	16.1	0.049	55	196	0.9984	3.15	0.5	9.3	5
7.1	0.32	0.24	13.1	0.05	52	204	0.998	3.1	0.49	8.8	5
6.9	0.54	0.32	13.2	0.05	53	236	0.9973	3.2	0.5	9.6	5
6.8	0.26	0.34	13.9	0.034	39	134	0.9949	3.33	0.53	12	6
5.8	0.28	0.35	2.3	0.053	36	114	0.9924	3.28	0.5	10.2	4
6.4	0.21	0.5	11.6	0.042	45	153	0.9972	3.15	0.43	8.8	5
7	0.16	0.32	8.3	0.045	38	126	0.9958	3.21	0.34	9.2	5
10.2	0.44	0.88	6.2	0.049	20	124	0.9968	2.99	0.51	9.9	4
6.8	0.57	0.29	2.2	0.04	15	77	0.9938	3.32	0.74	10.2	5
6.1	0.4	0.31	0.9	0.048	23	170	0.993	3.22	0.77	9.5	6
5.6	0.245	0.25	9.7	0.032	12	68	0.994	3.31	0.34	10.5	5
6.8	0.18	0.38	1.4	0.038	35	111	0.9918	3.32	0.59	11.2	7
7	0.16	0.32	8.3	0.045	38	126	0.9958	3.21	0.34	9.2	5
6.7	0.13	0.29	5.3	0.051	31	122	0.9944	3.44	0.37	9.7	6
6.2	0.25	0.25	1.4	0.03	35	105	0.9912	3.3	0.44	11.1	7
5.8	0.26	0.24	9.2	0.044	55	152	0.9961	3.31	0.38	9.4	5
7.5	0.27	0.36	7	0.036	45	164	0.9939	3.03	0.33	11	5
5.8	0.26	0.24	9.2	0.044	55	152	0.9961	3.31	0.38	9.4	5
5.7	0.28	0.24	17.5	0.044	60	167	0.9989	3.31	0.44	9.4	5
7.5	0.23	0.36	7	0.036	43	161	0.9938	3.04	0.32	11	5
7.5	0.27	0.36	7	0.036	45	164	0.9939	3.03	0.33	11	5
7.2	0.685	0.21	9.5	0.07	33	172	0.9971	3	0.55	9.1	6
6.2	0.25	0.25	1.4	0.03	35	105	0.9912	3.3	0.44	11.1	7
6.5	0.19	0.3	0.8	0.043	33	144	0.9936	3.42	0.39	9.1	6
6.3	0.495	0.22	1.8	0.046	31	140	0.9929	3.39	0.54	10.4	6
7.1	0.24	0.41	17.8	0.046	39	145	0.9998	3.32	0.39	8.7	5
6.4	0.17	0.32	2.4	0.048	41	200	0.9938	3.5	0.5	9.7	6
7.1	0.25	0.32	10.3	0.041	66	272	0.9969	3.17	0.52	9.1	6
6.4	0.17	0.32	2.4	0.048	41	200	0.9938	3.5	0.5	9.7	6
7.1	0.24	0.41	17.8	0.046	39	145	0.9998	3.32	0.39	8.7	5
6.8	0.64	0.08	9.7	0.062	26	142	0.9972	3.37	0.46	8.9	4
8.3	0.28	0.4	7.8	0.041	38	194	0.9976	3.34	0.51	9.6	6
8.2	0.27	0.39	7.8	0.039	49	208	0.9976	3.31	0.51	9.5	6
7.2	0.23	0.38	14.3	0.058	55	194	0.9979	3.09	0.44	9	6
7.2	0.23	0.38	14.3	0.058	55	194	0.9979	3.09	0.44	9	6
7.2	0.23	0.38	14.3	0.058	55	194	0.9979	3.09	0.44	9	6
7.2	0.23	0.38	14.3	0.058	55	194	0.9979	3.09	0.44	9	6
6.8	0.52	0.32	13.2	0.044	54	221	0.9972	3.27	0.5	9.6	6
7	0.26	0.59	1.4	0.037	40	120	0.9918	3.34	0.41	11.1	7
6.2	0.25	0.21	15.55	0.039	28	159	0.9982	3.48	0.64	9.6	6
7.3	0.32	0.23	13.7	0.05	49	197	0.9985	3.2	0.46	8.7	5
7.7	0.31	0.26	7.8	0.031	23	90	0.9944	3.13	0.5	10.4	5
7.1	0.21	0.37	2.4	0.026	23	100	0.9903	3.15	0.38	11.4	7
6.8	0.24	0.34	2.7	0.047	64.5	218.5	0.9934	3.3	0.58	9.7	6
6.9	0.4	0.56	11.2	0.043	40	142	0.9975	3.14	0.46	8.7	5
6.1	0.18	0.36	2	0.038	20	249.5	0.9923	3.37	0.79	11.3	6
6.8	0.21	0.27	2.1	0.03	26	139	0.99	3.16	0.61	12.6	7
5.8	0.2	0.27	1.4	0.031	12	77	0.9905	3.25	0.36	10.9	7
5.6	0.19	0.26	1.4	0.03	12	76	0.9905	3.25	0.37	10.9	7
6.1	0.41	0.14	10.4	0.037	18	119	0.996	3.38	0.45	10	5
5.9	0.21	0.28	4.6	0.053	40	199	0.9964	3.72	0.7	10	4
8.5	0.26	0.21	16.2	0.074	41	197	0.998	3.02	0.5	9.8	3
6.9	0.4	0.56	11.2	0.043	40	142	0.9975	3.14	0.46	8.7	5
5.8	0.24	0.44	3.5	0.029	5	109	0.9913	3.53	0.43	11.7	3
5.8	0.24	0.39	1.5	0.054	37	158	0.9932	3.21	0.52	9.3	6
6.7	0.26	0.39	1.1	0.04	45	147	0.9935	3.32	0.58	9.6	8
6.3	0.35	0.3	5.7	0.035	8	97	0.9927	3.27	0.41	11	7
6.3	0.35	0.3	5.7	0.035	8	97	0.9927	3.27	0.41	11	7
6.4	0.23	0.39	1.8	0.032	23	118	0.9912	3.32	0.5	11.8	6
5.8	0.36	0.38	0.9	0.037	3	75	0.9904	3.28	0.34	11.4	4
6.9	0.115	0.35	5.4	0.048	36	108	0.9939	3.32	0.42	10.2	6
6.9	0.29	0.4	19.45	0.043	36	156	0.9996	2.93	0.47	8.9	5
6.9	0.28	0.4	8.2	0.036	15	95	0.9944	3.17	0.33	10.2	5
7.2	0.29	0.4	13.6	0.045	66	231	0.9977	3.08	0.59	9.6	6
6.2	0.24	0.35	1.2	0.038	22	167	0.9912	3.1	0.48	10.6	6
6.9	0.29	0.4	19.45	0.043	36	156	0.9996	2.93	0.47	8.9	5
6.9	0.32	0.26	8.3	0.053	32	180	0.9965	3.25	0.51	9.2	6
5.3	0.58	0.07	6.9	0.043	34	149	0.9944	3.34	0.57	9.7	5
5.3	0.585	0.07	7.1	0.044	34	145	0.9945	3.34	0.57	9.7	6
5.4	0.59	0.07	7	0.045	36	147	0.9944	3.34	0.57	9.7	6
6.9	0.32	0.26	8.3	0.053	32	180	0.9965	3.25	0.51	9.2	6
5.2	0.6	0.07	7	0.044	33	147	0.9944	3.33	0.58	9.7	5
5.8	0.25	0.26	13.1	0.051	44	148	0.9972	3.29	0.38	9.3	5
6.6	0.58	0.3	5.1	0.057	30	123	0.9949	3.24	0.38	9	5
7	0.29	0.54	10.7	0.046	59	234	0.9966	3.05	0.61	9.5	5
6.6	0.19	0.41	8.9	0.046	51	169	0.9954	3.14	0.57	9.8	6
6.7	0.2	0.41	9.1	0.044	50	166	0.9954	3.14	0.58	9.8	6
7.7	0.26	0.4	1.1	0.042	9	60	0.9915	2.89	0.5	10.6	5
6.8	0.32	0.34	1.2	0.044	14	67	0.9919	3.05	0.47	10.6	4
7	0.3	0.49	4.7	0.036	17	105	0.9916	3.26	0.68	12.4	7
7	0.24	0.36	2.8	0.034	22	112	0.99	3.19	0.38	12.6	8
6.1	0.31	0.58	5	0.039	36	114	0.9909	3.3	0.6	12.3	8
6.8	0.44	0.37	5.1	0.047	46	201	0.9938	3.08	0.65	10.5	4
6.7	0.34	0.3	15.6	0.054	51	196	0.9982	3.19	0.49	9.3	5
7.1	0.35	0.24	15.4	0.055	46	198	0.9988	3.12	0.49	8.8	5
7.3	0.32	0.25	7.2	0.056	47	180	0.9961	3.08	0.47	8.8	5
6.5	0.28	0.33	15.7	0.053	51	190	0.9978	3.22	0.51	9.7	6
7.2	0.23	0.39	14.2	0.058	49	192	0.9979	2.98	0.48	9	7
7.2	0.23	0.39	14.2	0.058	49	192	0.9979	2.98	0.48	9	7
7.2	0.23	0.39	14.2	0.058	49	192	0.9979	2.98	0.48	9	7
7.2	0.23	0.39	14.2	0.058	49	192	0.9979	2.98	0.48	9	7
5.9	0.15	0.31	5.8	0.041	53	155	0.9945	3.52	0.46	10.5	6
7.4	0.28	0.42	19.8	0.066	53	195	1	2.96	0.44	9.1	5
6.2	0.28	0.22	7.3	0.041	26	157	0.9957	3.44	0.64	9.8	7
9.1	0.59	0.38	1.6	0.066	34	182	0.9968	3.23	0.38	8.5	3
6.3	0.33	0.27	1.2	0.046	34	175	0.9934	3.37	0.54	9.4	6
8.3	0.39	0.7	10.6	0.045	33	169	0.9976	3.09	0.57	9.4	5
7.2	0.19	0.46	3.8	0.041	82	187	0.9932	3.19	0.6	11.2	7

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	12 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 & 12 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154489&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]12 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=154489&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154489&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	12 seconds
R Server	'Gwilym Jenkins' @ jenkins.wessa.net

Multiple Linear Regression - Estimated Regression Equation
chlorides[t] = -10.9437764116056 -0.0101252332217488fixedAcidity[t] -0.00622716035243567volatileAcidity[t] + 0.0064056695778816citricAcid[t] -0.00545058472196667residualSugar[t] + 0.0003982753832391freeSulfurDioxide[t] -3.39407518984909e-05totSulfurDioxide[t] + 11.3250269386651density[t] -0.0622931847212471pH[t] -0.0464743871303214sulphates[t] + 0.00526791687341446alcohol[t] -0.000959300171289492quality[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
chlorides[t] =  -10.9437764116056 -0.0101252332217488fixedAcidity[t] -0.00622716035243567volatileAcidity[t] +  0.0064056695778816citricAcid[t] -0.00545058472196667residualSugar[t] +  0.0003982753832391freeSulfurDioxide[t] -3.39407518984909e-05totSulfurDioxide[t] +  11.3250269386651density[t] -0.0622931847212471pH[t] -0.0464743871303214sulphates[t] +  0.00526791687341446alcohol[t] -0.000959300171289492quality[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154489&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]chlorides[t] =  -10.9437764116056 -0.0101252332217488fixedAcidity[t] -0.00622716035243567volatileAcidity[t] +  0.0064056695778816citricAcid[t] -0.00545058472196667residualSugar[t] +  0.0003982753832391freeSulfurDioxide[t] -3.39407518984909e-05totSulfurDioxide[t] +  11.3250269386651density[t] -0.0622931847212471pH[t] -0.0464743871303214sulphates[t] +  0.00526791687341446alcohol[t] -0.000959300171289492quality[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=154489&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154489&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
chlorides[t] = -10.9437764116056 -0.0101252332217488fixedAcidity[t] -0.00622716035243567volatileAcidity[t] + 0.0064056695778816citricAcid[t] -0.00545058472196667residualSugar[t] + 0.0003982753832391freeSulfurDioxide[t] -3.39407518984909e-05totSulfurDioxide[t] + 11.3250269386651density[t] -0.0622931847212471pH[t] -0.0464743871303214sulphates[t] + 0.00526791687341446alcohol[t] -0.000959300171289492quality[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)	-10.9437764116056	2.769997	-3.9508	9.8e-05	4.9e-05
fixedAcidity	-0.0101252332217488	0.002463	-4.1107	5.2e-05	2.6e-05
volatileAcidity	-0.00622716035243567	0.010427	-0.5972	0.550818	0.275409
citricAcid	0.0064056695778816	0.00983	0.6516	0.515163	0.257581
residualSugar	-0.00545058472196667	0.000956	-5.7001	0	0
freeSulfurDioxide	0.0003982753832391	1e-04	3.9917	8.3e-05	4.2e-05
totSulfurDioxide	-3.39407518984909e-05	4e-05	-0.8535	0.394116	0.197058
density	11.3250269386651	2.797479	4.0483	6.6e-05	3.3e-05
pH	-0.0622931847212471	0.011515	-5.4098	0	0
sulphates	-0.0464743871303214	0.013136	-3.538	0.00047	0.000235
alcohol	0.00526791687341446	0.003432	1.5349	0.125917	0.062959
quality	-0.000959300171289492	0.001365	-0.703	0.482653	0.241327

\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) & -10.9437764116056 & 2.769997 & -3.9508 & 9.8e-05 & 4.9e-05 \tabularnewline
fixedAcidity & -0.0101252332217488 & 0.002463 & -4.1107 & 5.2e-05 & 2.6e-05 \tabularnewline
volatileAcidity & -0.00622716035243567 & 0.010427 & -0.5972 & 0.550818 & 0.275409 \tabularnewline
citricAcid & 0.0064056695778816 & 0.00983 & 0.6516 & 0.515163 & 0.257581 \tabularnewline
residualSugar & -0.00545058472196667 & 0.000956 & -5.7001 & 0 & 0 \tabularnewline
freeSulfurDioxide & 0.0003982753832391 & 1e-04 & 3.9917 & 8.3e-05 & 4.2e-05 \tabularnewline
totSulfurDioxide & -3.39407518984909e-05 & 4e-05 & -0.8535 & 0.394116 & 0.197058 \tabularnewline
density & 11.3250269386651 & 2.797479 & 4.0483 & 6.6e-05 & 3.3e-05 \tabularnewline
pH & -0.0622931847212471 & 0.011515 & -5.4098 & 0 & 0 \tabularnewline
sulphates & -0.0464743871303214 & 0.013136 & -3.538 & 0.00047 & 0.000235 \tabularnewline
alcohol & 0.00526791687341446 & 0.003432 & 1.5349 & 0.125917 & 0.062959 \tabularnewline
quality & -0.000959300171289492 & 0.001365 & -0.703 & 0.482653 & 0.241327 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154489&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]-10.9437764116056[/C][C]2.769997[/C][C]-3.9508[/C][C]9.8e-05[/C][C]4.9e-05[/C][/ROW]
[ROW][C]fixedAcidity[/C][C]-0.0101252332217488[/C][C]0.002463[/C][C]-4.1107[/C][C]5.2e-05[/C][C]2.6e-05[/C][/ROW]
[ROW][C]volatileAcidity[/C][C]-0.00622716035243567[/C][C]0.010427[/C][C]-0.5972[/C][C]0.550818[/C][C]0.275409[/C][/ROW]
[ROW][C]citricAcid[/C][C]0.0064056695778816[/C][C]0.00983[/C][C]0.6516[/C][C]0.515163[/C][C]0.257581[/C][/ROW]
[ROW][C]residualSugar[/C][C]-0.00545058472196667[/C][C]0.000956[/C][C]-5.7001[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]freeSulfurDioxide[/C][C]0.0003982753832391[/C][C]1e-04[/C][C]3.9917[/C][C]8.3e-05[/C][C]4.2e-05[/C][/ROW]
[ROW][C]totSulfurDioxide[/C][C]-3.39407518984909e-05[/C][C]4e-05[/C][C]-0.8535[/C][C]0.394116[/C][C]0.197058[/C][/ROW]
[ROW][C]density[/C][C]11.3250269386651[/C][C]2.797479[/C][C]4.0483[/C][C]6.6e-05[/C][C]3.3e-05[/C][/ROW]
[ROW][C]pH[/C][C]-0.0622931847212471[/C][C]0.011515[/C][C]-5.4098[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]sulphates[/C][C]-0.0464743871303214[/C][C]0.013136[/C][C]-3.538[/C][C]0.00047[/C][C]0.000235[/C][/ROW]
[ROW][C]alcohol[/C][C]0.00526791687341446[/C][C]0.003432[/C][C]1.5349[/C][C]0.125917[/C][C]0.062959[/C][/ROW]
[ROW][C]quality[/C][C]-0.000959300171289492[/C][C]0.001365[/C][C]-0.703[/C][C]0.482653[/C][C]0.241327[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=154489&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154489&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)	-10.9437764116056	2.769997	-3.9508	9.8e-05	4.9e-05
fixedAcidity	-0.0101252332217488	0.002463	-4.1107	5.2e-05	2.6e-05
volatileAcidity	-0.00622716035243567	0.010427	-0.5972	0.550818	0.275409
citricAcid	0.0064056695778816	0.00983	0.6516	0.515163	0.257581
residualSugar	-0.00545058472196667	0.000956	-5.7001	0	0
freeSulfurDioxide	0.0003982753832391	1e-04	3.9917	8.3e-05	4.2e-05
totSulfurDioxide	-3.39407518984909e-05	4e-05	-0.8535	0.394116	0.197058
density	11.3250269386651	2.797479	4.0483	6.6e-05	3.3e-05
pH	-0.0622931847212471	0.011515	-5.4098	0	0
sulphates	-0.0464743871303214	0.013136	-3.538	0.00047	0.000235
alcohol	0.00526791687341446	0.003432	1.5349	0.125917	0.062959
quality	-0.000959300171289492	0.001365	-0.703	0.482653	0.241327

Multiple Linear Regression - Regression Statistics
Multiple R	0.573400145668153
R-squared	0.328787727052259
Adjusted R-squared	0.302971870400423
F-TEST (value)	12.7358828911406
F-TEST (DF numerator)	11
F-TEST (DF denominator)	286
p-value	0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	0.0182178425502743
Sum Squared Residuals	0.0949204791353634

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.573400145668153 \tabularnewline
R-squared & 0.328787727052259 \tabularnewline
Adjusted R-squared & 0.302971870400423 \tabularnewline
F-TEST (value) & 12.7358828911406 \tabularnewline
F-TEST (DF numerator) & 11 \tabularnewline
F-TEST (DF denominator) & 286 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 0.0182178425502743 \tabularnewline
Sum Squared Residuals & 0.0949204791353634 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154489&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.573400145668153[/C][/ROW]
[ROW][C]R-squared[/C][C]0.328787727052259[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.302971870400423[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]12.7358828911406[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]11[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]286[/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]0.0182178425502743[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]0.0949204791353634[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=154489&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154489&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	0.573400145668153
R-squared	0.328787727052259
Adjusted R-squared	0.302971870400423
F-TEST (value)	12.7358828911406
F-TEST (DF numerator)	11
F-TEST (DF denominator)	286
p-value	0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	0.0182178425502743
Sum Squared Residuals	0.0949204791353634

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	InterpolationForecast	ResidualsPrediction Error
1	0.045	0.0544578289629795	-0.00945782896297947
2	0.049	0.0581453662365144	-0.00914536623651437
3	0.05	0.0395347897428837	0.0104652102571163
4	0.058	0.0543038516451516	0.0036961483548484
5	0.058	0.0543038516451516	0.00369614835484836
6	0.05	0.0395347897428837	0.0104652102571163
7	0.045	0.0538077972945297	-0.00880779729452967
8	0.045	0.0544578289629781	-0.00945782896297812
9	0.049	0.0581453662365144	-0.00914536623651435
10	0.044	0.0596966658061118	-0.0156966658061118
11	0.033	0.0364665178735266	-0.00346651787352661
12	0.035	0.0415298508653297	-0.00652985086532972
13	0.04	0.0339221361225266	0.00607786387747335
14	0.044	0.0363399995117873	0.00766000048821266
15	0.04	0.0359306929543725	0.00406930704562751
16	0.032	0.0429041506303469	-0.0109041506303469
17	0.046	0.0620365405763308	-0.0160365405763308
18	0.029	0.0317859322737939	-0.00278593227379386
19	0.033	0.0426558922092116	-0.00965589220921161
20	0.044	0.0530155826120284	-0.00901558261202837
21	0.029	0.0317859322737939	-0.00278593227379386
22	0.038	0.0430876653511008	-0.00508766535110081
23	0.049	0.0462912660610735	0.00270873393892654
24	0.074	0.0562536175744573	0.0177463824255427
25	0.052	0.0663811202603933	-0.0143811202603933
26	0.046	0.0481774627551441	-0.00217746275514415
27	0.052	0.0479555491213834	0.00404445087861658
28	0.051	0.0418749114541854	0.00912508854581458
29	0.047	0.0404811424677457	0.00651885753225435
30	0.033	0.0341473072397238	-0.0011473072397238
31	0.044	0.03615825849093	0.00784174150906996
32	0.042	0.0321989531263953	0.00980104687360472
33	0.05	0.0462253112866634	0.00377468871333659
34	0.045	0.0607118032470059	-0.0157118032470059
35	0.044	0.0221019903783809	0.0218980096216191
36	0.08	0.0400808114480768	0.0399191885519232
37	0.051	0.0449893137230778	0.00601068627692219
38	0.053	0.053077803147617	-7.78031476169549e-05
39	0.057	0.0460504208839831	0.0109495791160169
40	0.057	0.0460504208839831	0.0109495791160169
41	0.172	0.0825320412860027	0.0894679587139973
42	0.173	0.081875896135409	0.0911241038645909
43	0.069	0.0529145865289949	0.0160854134710051
44	0.057	0.0579467947240283	-0.000946794724028271
45	0.06	0.055618741111377	0.004381258888623
46	0.058	0.0553677030696118	0.00263229693038817
47	0.063	0.0634271421886454	-0.000427142188645368
48	0.066	0.0620226585834737	0.00397734141652633
49	0.069	0.0529145865289949	0.0160854134710051
50	0.067	0.0514371609074634	0.0155628390925366
51	0.062	0.0396554998586347	0.0223445001413653
52	0.068	0.0388756566335899	0.0291243433664101
53	0.057	0.0397649635058133	0.0172350364941868
54	0.045	0.0524019601638158	-0.0074019601638158
55	0.147	0.0759341866350853	0.0710658133649147
56	0.039	0.0389098417151273	9.01582848727146e-05
57	0.043	0.0379218869156875	0.00507811308431245
58	0.048	0.0554389642030877	-0.00743896420308773
59	0.044	0.0536975271222097	-0.00969752712220971
60	0.038	0.0520853863167284	-0.0140853863167284
61	0.092	0.0675610947475735	0.0244389052524265
62	0.048	0.0554389642030877	-0.00743896420308773
63	0.035	0.0482101851801835	-0.0132101851801835
64	0.044	0.0536975271222097	-0.00969752712220971
65	0.038	0.0573881028666419	-0.0193881028666419
66	0.064	0.0601392803119871	0.00386071968801294
67	0.04	0.0144797589434389	0.0255202410565611
68	0.041	0.073610351350657	-0.032610351350657
69	0.046	0.038915893504539	0.00708410649546103
70	0.05	0.0474059287192684	0.00259407128073158
71	0.056	0.0628828220393771	-0.0068828220393771
72	0.061	0.0619350355993374	-0.000935035599337445
73	0.063	0.04422692541355	0.01877307458645
74	0.054	0.0602052810283394	-0.00620528102833941
75	0.046	0.038915893504539	0.00708410649546103
76	0.05	0.0474059287192684	0.00259407128073158
77	0.043	0.0367102591135876	0.00628974088641244
78	0.042	0.0295378376557913	0.0124621623442087
79	0.064	0.0568786313258627	0.00712136867413731
80	0.06	0.0511721083056739	0.00882789169432607
81	0.053	0.0377732744166688	0.0152267255833312
82	0.05	0.0356381295158829	0.0143618704841171
83	0.063	0.058168247725484	0.00483175227451605
84	0.047	0.049864880345975	-0.00286488034597505
85	0.045	0.0594643323174339	-0.0144643323174339
86	0.044	0.0578569157029681	-0.0138569157029681
87	0.044	0.0643051186042667	-0.0203051186042667
88	0.05	0.0517012579815853	-0.00170125798158527
89	0.045	0.0594643323174339	-0.0144643323174339
90	0.044	0.0578569157029681	-0.0138569157029681
91	0.044	0.0643051186042667	-0.0203051186042667
92	0.049	0.075040057701049	-0.026040057701049
93	0.035	0.0415876220081459	-0.00658762200814594
94	0.034	0.0406533390118043	-0.0066533390118043
95	0.04	0.0506511574061211	-0.0106511574061211
96	0.044	0.0572709229742697	-0.0132709229742697
97	0.046	0.0387157320013579	0.00728426799864208
98	0.034	0.0458632763343125	-0.0118632763343125
99	0.038	0.0298419725326895	0.00815802746731046
100	0.046	0.0387157320013579	0.00728426799864208
101	0.06	0.0552486015354642	0.00475139846453581
102	0.054	0.049165024207575	0.00483497579242498
103	0.05	0.055678161372497	-0.00567816137249697
104	0.059	0.0496923102224024	0.00930768977759755
105	0.06	0.0552486015354642	0.00475139846453581
106	0.051	0.037589746600202	0.013410253399798
107	0.054	0.049165024207575	0.00483497579242498
108	0.04	0.0449199786191208	-0.00491997861912077
109	0.04	0.0449199786191208	-0.00491997861912077
110	0.051	0.0476355508019503	0.00336444919804968
111	0.082	0.0874812094459064	-0.00548120944590641
112	0.052	0.0452331560048745	0.00676684399512547
113	0.056	0.0715306035075999	-0.0155306035075999
114	0.049	0.0519652145217934	-0.00296521452179339
115	0.049	0.0519652145217934	-0.00296521452179339
116	0.065	0.0486534160710306	0.0163465839289694
117	0.041	0.0369597524000498	0.00404024759995021
118	0.035	0.0436641845510475	-0.00866418455104752
119	0.056	0.0715306035075999	-0.0155306035075999
120	0.06	0.0626496980672674	-0.00264969806726737
121	0.046	0.0437737860433191	0.00222621395668089
122	0.054	0.0592180819026076	-0.00521808190260763
123	0.059	0.0490733003203643	0.00992669967963569
124	0.058	0.0515111829374809	0.00648881706251915
125	0.092	0.0681352973217145	0.0238647026782855
126	0.026	0.0553011511417561	-0.0293011511417561
127	0.033	0.0419344930678879	-0.00893449306788791
128	0.038	0.0436055317635773	-0.00560553176357729
129	0.044	0.0511646202084997	-0.00716462020849975
130	0.046	0.0514780678620419	-0.00547806786204187
131	0.02	0.0224101140408299	-0.00241011404082989
132	0.038	0.0436055317635773	-0.00560553176357729
133	0.038	0.0504029094644281	-0.0124029094644281
134	0.035	0.0382309977184198	-0.00323099771841976
135	0.034	0.058030706045959	-0.024030706045959
136	0.036	0.0324819364584176	0.00351806354158237
137	0.027	0.0510397073103923	-0.0240397073103923
138	0.045	0.0637992726647226	-0.0187992726647226
139	0.035	0.0467166365964378	-0.0117166365964378
140	0.029	0.0379515134199956	-0.00895151341999564
141	0.045	0.0517819076438963	-0.00678190764389629
142	0.045	0.0637992726647226	-0.0187992726647226
143	0.039	0.0429580448986005	-0.00395804489860055
144	0.036	0.0418622232596547	-0.00586222325965471
145	0.037	0.0385924409047731	-0.00159244090477312
146	0.04	0.0621872017162253	-0.0221872017162253
147	0.044	0.0661259059020497	-0.0221259059020497
148	0.058	0.0487791804830461	0.00922081951695386
149	0.034	0.0222335454095439	0.0117664545904562
150	0.054	0.0665227043731632	-0.0125227043731632
151	0.043	0.0417765841724401	0.00122341582755989
152	0.055	0.0636183835986376	-0.00861838359863765
153	0.054	0.0665227043731632	-0.0125227043731632
154	0.048	0.0580936618291523	-0.0100936618291523
155	0.049	0.0378563282474684	0.0111436717525316
156	0.066	0.0614079835039887	0.00459201649601132
157	0.066	0.0614079835039887	0.00459201649601132
158	0.036	0.0404091809667046	-0.00440918096670462
159	0.036	0.0429521227587556	-0.00695212275875558
160	0.036	0.0429521227587556	-0.00695212275875558
161	0.036	0.0404091809667046	-0.00440918096670462
162	0.055	0.0612576549462593	-0.0062576549462593
163	0.049	0.0452561436497589	0.00374385635024113
164	0.066	0.0614079835039887	0.00459201649601132
165	0.05	0.0531009440596569	-0.00310094405965685
166	0.051	0.0585584974575504	-0.00755849745755044
167	0.048	0.0512408099335426	-0.00324080993354256
168	0.034	0.0348179107629295	-0.000817910762929482
169	0.055	0.0505447417005393	0.00445525829946069
170	0.034	0.0351107325491892	-0.00111073254918919
171	0.066	0.0445404047741197	0.0214595952258803
172	0.045	0.0433879495311474	0.00161205046885264
173	0.037	0.0358768009009808	0.00112319909901922
174	0.038	0.0389621044310442	-0.000962104431044172
175	0.051	0.0317933659216125	0.0192066340783875
176	0.04	0.0517716346586723	-0.0117716346586723
177	0.044	0.0397403836208584	0.00425961637914156
178	0.054	0.0591855166108175	-0.00518551661081754
179	0.06	0.0640066529990954	-0.00400665299909538
180	0.049	0.0530856180298726	-0.00408561802987257
181	0.048	0.0556122682686477	-0.00761226826864774
182	0.053	0.0784661609325025	-0.0254661609325025
183	0.048	0.0533570311116941	-0.00535703111169413
184	0.05	0.0497304125408788	0.000269587459121191
185	0.043	0.0601398743304175	-0.0171398743304175
186	0.043	0.0628788526664615	-0.0198788526664615
187	0.04	0.0487864427145748	-0.00878644271457478
188	0.038	0.0585326223163392	-0.0205326223163392
189	0.034	0.0204906334238771	0.0135093665761229
190	0.047	0.0659658836429912	-0.0189658836429912
191	0.052	0.0629343507382747	-0.0109343507382747
192	0.048	0.0533570311116941	-0.00535703111169413
193	0.045	0.0437710140467709	0.00122898595322915
194	0.055	0.0484346299862546	0.00656537001374544
195	0.2	0.091843395068309	0.108156604931691
196	0.197	0.0927926423392147	0.104207357660785
197	0.197	0.0937926770256342	0.103207322974366
198	0.052	0.0651459532432994	-0.0131459532432994
199	0.05	0.0543195786768653	-0.0043195786768653
200	0.052	0.0651459532432994	-0.0131459532432994
201	0.049	0.0464957841563818	0.00250421584361823
202	0.05	0.0543195786768653	-0.0043195786768653
203	0.05	0.0438469687584382	0.00615303124156182
204	0.034	0.0158131924382125	0.0181868075617875
205	0.053	0.0572213842854989	-0.00422138428549889
206	0.042	0.0614904138490306	-0.0194904138490306
207	0.045	0.0573862464043492	-0.0123862464043492
208	0.049	0.0529499464291723	-0.00394994642917232
209	0.04	0.0395931748740059	0.000406825125994086
210	0.048	0.0461112653832147	0.0018887346167853
211	0.032	0.0348003774232481	-0.00280037742324805
212	0.038	0.0414406882743254	-0.00344068827432537
213	0.045	0.0573862464043492	-0.0123862464043492
214	0.051	0.0442160070364202	0.00678399296357984
215	0.03	0.0473460483624026	-0.0173460483624026
216	0.044	0.0657468498838521	-0.0217468498838521
217	0.036	0.0601210244967198	-0.0241210244967198
218	0.044	0.0657468498838521	-0.0217468498838521
219	0.044	0.0517988546448162	-0.00779885464481624
220	0.036	0.0583846917302589	-0.0223846917302589
221	0.036	0.0601210244967198	-0.0241210244967198
222	0.07	0.0578523544072453	0.0121476455927547
223	0.03	0.0473460483624026	-0.0173460483624026
224	0.043	0.0586045705058028	-0.0156045705058028
225	0.046	0.0459249177460403	7.50822539596956e-05
226	0.046	0.0379150863965731	0.00808491360342692
227	0.048	0.047764453980781	0.000235546019219038
228	0.041	0.0562062456393295	-0.0152062456393295
229	0.048	0.047764453980781	0.000235546019219038
230	0.046	0.0379150863965731	0.00808491360342692
231	0.062	0.0416218469531975	0.0203781530468025
232	0.041	0.0499401140136569	-0.00894011401365689
233	0.039	0.0561987147869245	-0.0171987147869245
234	0.058	0.0516662572429108	0.00633374275708918
235	0.058	0.0516662572429108	0.00633374275708918
236	0.058	0.0516662572429108	0.00633374275708918
237	0.058	0.0516662572429108	0.00633374275708918
238	0.044	0.0394390961537351	0.00456090384626491
239	0.037	0.0485413038639364	-0.0115413038639364
240	0.039	0.0171682822342014	0.0218317177657986
241	0.05	0.0483035185409055	0.00169648145909451
242	0.031	0.0349672129731432	-0.00396721297314317
243	0.026	0.0327112114181605	-0.00671121141816052
244	0.047	0.0547136402367323	-0.00771364023673229
245	0.043	0.0582905988169026	-0.0152905988169026
246	0.038	0.0291940310841206	0.0088059689158794
247	0.03	0.028226477948475	0.00177352205152504
248	0.031	0.0414771282736805	-0.0104771282736805
249	0.03	0.0430695867063711	-0.0130695867063711
250	0.037	0.0353923102736899	0.00160768972631005
251	0.053	0.0499108037551685	0.00308919624483148
252	0.074	0.0309906832321793	0.0430093167678207
253	0.043	0.0582905988169026	-0.0152905988169026
254	0.029	0.0234130029420165	0.00558699705798353
255	0.054	0.0668233787701516	-0.0128233787701516
256	0.04	0.0567444801430011	-0.0167444801430011
257	0.035	0.0318354447233577	0.00316455527664234
258	0.035	0.0318354447233577	0.00316455527664234
259	0.032	0.0395540854641042	-0.00755408546410415
260	0.037	0.0438341501441633	-0.0068341501441633
261	0.048	0.0467131047200164	0.00128689527998356
262	0.043	0.0483680481734873	-0.0053680481734873
263	0.036	0.0429702024364486	-0.00697020243644863
264	0.045	0.0529088902280651	-0.00790889022806509
265	0.038	0.0507821004619126	-0.0127821004619126
266	0.043	0.0483680481734873	-0.0053680481734873
267	0.053	0.0493714764782803	0.00362852352171971
268	0.043	0.0436310955917998	-0.00063109559179979
269	0.044	0.0428188083758164	0.0011811916241836
270	0.045	0.0419163742928896	0.00308362570711042
271	0.053	0.0493714764782803	0.00362852352171971
272	0.044	0.0438018113311964	0.000198188668803584
273	0.051	0.0536112898948429	-0.00261128989484291
274	0.057	0.0580764306072123	-0.00107643060721227
275	0.046	0.0576619630191	-0.0116619630191
276	0.046	0.053616665029584	-0.00761666502958398
277	0.044	0.0506905561606446	-0.00669055616064457
278	0.042	0.0512980191461069	-0.00929801914610694
279	0.044	0.0577781254358364	-0.0137781254358364
280	0.036	0.0180321551737579	0.0179678448262421
281	0.034	0.0299600295455347	0.00403997045446531
282	0.039	0.0250983066955623	0.0139016933044377
283	0.047	0.054919081645491	-0.00791908164549102
284	0.054	0.0441688349597489	0.00983116504025108
285	0.055	0.0472245690742326	0.00777543092576739
286	0.056	0.0639980399708336	-0.00799803997083357
287	0.053	0.0402378398701425	0.0127621601298575
288	0.058	0.0539875762780835	0.00401242372191648
289	0.058	0.0539875762780835	0.00401242372191648
290	0.058	0.0539875762780835	0.00401242372191648
291	0.058	0.0539875762780835	0.00401242372191648
292	0.041	0.0534171716291253	-0.0124171716291253
293	0.066	0.0521441343184508	0.0138558656815492
294	0.041	0.0355576220585321	0.00544237794146786
295	0.066	0.0733062981499232	-0.00730629814992319
296	0.046	0.0521903936398788	-0.00619039363987877
297	0.045	0.0474628816571126	-0.00246288165711264
298	0.041	0.0643872273401539	-0.0233872273401539

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 0.045 & 0.0544578289629795 & -0.00945782896297947 \tabularnewline
2 & 0.049 & 0.0581453662365144 & -0.00914536623651437 \tabularnewline
3 & 0.05 & 0.0395347897428837 & 0.0104652102571163 \tabularnewline
4 & 0.058 & 0.0543038516451516 & 0.0036961483548484 \tabularnewline
5 & 0.058 & 0.0543038516451516 & 0.00369614835484836 \tabularnewline
6 & 0.05 & 0.0395347897428837 & 0.0104652102571163 \tabularnewline
7 & 0.045 & 0.0538077972945297 & -0.00880779729452967 \tabularnewline
8 & 0.045 & 0.0544578289629781 & -0.00945782896297812 \tabularnewline
9 & 0.049 & 0.0581453662365144 & -0.00914536623651435 \tabularnewline
10 & 0.044 & 0.0596966658061118 & -0.0156966658061118 \tabularnewline
11 & 0.033 & 0.0364665178735266 & -0.00346651787352661 \tabularnewline
12 & 0.035 & 0.0415298508653297 & -0.00652985086532972 \tabularnewline
13 & 0.04 & 0.0339221361225266 & 0.00607786387747335 \tabularnewline
14 & 0.044 & 0.0363399995117873 & 0.00766000048821266 \tabularnewline
15 & 0.04 & 0.0359306929543725 & 0.00406930704562751 \tabularnewline
16 & 0.032 & 0.0429041506303469 & -0.0109041506303469 \tabularnewline
17 & 0.046 & 0.0620365405763308 & -0.0160365405763308 \tabularnewline
18 & 0.029 & 0.0317859322737939 & -0.00278593227379386 \tabularnewline
19 & 0.033 & 0.0426558922092116 & -0.00965589220921161 \tabularnewline
20 & 0.044 & 0.0530155826120284 & -0.00901558261202837 \tabularnewline
21 & 0.029 & 0.0317859322737939 & -0.00278593227379386 \tabularnewline
22 & 0.038 & 0.0430876653511008 & -0.00508766535110081 \tabularnewline
23 & 0.049 & 0.0462912660610735 & 0.00270873393892654 \tabularnewline
24 & 0.074 & 0.0562536175744573 & 0.0177463824255427 \tabularnewline
25 & 0.052 & 0.0663811202603933 & -0.0143811202603933 \tabularnewline
26 & 0.046 & 0.0481774627551441 & -0.00217746275514415 \tabularnewline
27 & 0.052 & 0.0479555491213834 & 0.00404445087861658 \tabularnewline
28 & 0.051 & 0.0418749114541854 & 0.00912508854581458 \tabularnewline
29 & 0.047 & 0.0404811424677457 & 0.00651885753225435 \tabularnewline
30 & 0.033 & 0.0341473072397238 & -0.0011473072397238 \tabularnewline
31 & 0.044 & 0.03615825849093 & 0.00784174150906996 \tabularnewline
32 & 0.042 & 0.0321989531263953 & 0.00980104687360472 \tabularnewline
33 & 0.05 & 0.0462253112866634 & 0.00377468871333659 \tabularnewline
34 & 0.045 & 0.0607118032470059 & -0.0157118032470059 \tabularnewline
35 & 0.044 & 0.0221019903783809 & 0.0218980096216191 \tabularnewline
36 & 0.08 & 0.0400808114480768 & 0.0399191885519232 \tabularnewline
37 & 0.051 & 0.0449893137230778 & 0.00601068627692219 \tabularnewline
38 & 0.053 & 0.053077803147617 & -7.78031476169549e-05 \tabularnewline
39 & 0.057 & 0.0460504208839831 & 0.0109495791160169 \tabularnewline
40 & 0.057 & 0.0460504208839831 & 0.0109495791160169 \tabularnewline
41 & 0.172 & 0.0825320412860027 & 0.0894679587139973 \tabularnewline
42 & 0.173 & 0.081875896135409 & 0.0911241038645909 \tabularnewline
43 & 0.069 & 0.0529145865289949 & 0.0160854134710051 \tabularnewline
44 & 0.057 & 0.0579467947240283 & -0.000946794724028271 \tabularnewline
45 & 0.06 & 0.055618741111377 & 0.004381258888623 \tabularnewline
46 & 0.058 & 0.0553677030696118 & 0.00263229693038817 \tabularnewline
47 & 0.063 & 0.0634271421886454 & -0.000427142188645368 \tabularnewline
48 & 0.066 & 0.0620226585834737 & 0.00397734141652633 \tabularnewline
49 & 0.069 & 0.0529145865289949 & 0.0160854134710051 \tabularnewline
50 & 0.067 & 0.0514371609074634 & 0.0155628390925366 \tabularnewline
51 & 0.062 & 0.0396554998586347 & 0.0223445001413653 \tabularnewline
52 & 0.068 & 0.0388756566335899 & 0.0291243433664101 \tabularnewline
53 & 0.057 & 0.0397649635058133 & 0.0172350364941868 \tabularnewline
54 & 0.045 & 0.0524019601638158 & -0.0074019601638158 \tabularnewline
55 & 0.147 & 0.0759341866350853 & 0.0710658133649147 \tabularnewline
56 & 0.039 & 0.0389098417151273 & 9.01582848727146e-05 \tabularnewline
57 & 0.043 & 0.0379218869156875 & 0.00507811308431245 \tabularnewline
58 & 0.048 & 0.0554389642030877 & -0.00743896420308773 \tabularnewline
59 & 0.044 & 0.0536975271222097 & -0.00969752712220971 \tabularnewline
60 & 0.038 & 0.0520853863167284 & -0.0140853863167284 \tabularnewline
61 & 0.092 & 0.0675610947475735 & 0.0244389052524265 \tabularnewline
62 & 0.048 & 0.0554389642030877 & -0.00743896420308773 \tabularnewline
63 & 0.035 & 0.0482101851801835 & -0.0132101851801835 \tabularnewline
64 & 0.044 & 0.0536975271222097 & -0.00969752712220971 \tabularnewline
65 & 0.038 & 0.0573881028666419 & -0.0193881028666419 \tabularnewline
66 & 0.064 & 0.0601392803119871 & 0.00386071968801294 \tabularnewline
67 & 0.04 & 0.0144797589434389 & 0.0255202410565611 \tabularnewline
68 & 0.041 & 0.073610351350657 & -0.032610351350657 \tabularnewline
69 & 0.046 & 0.038915893504539 & 0.00708410649546103 \tabularnewline
70 & 0.05 & 0.0474059287192684 & 0.00259407128073158 \tabularnewline
71 & 0.056 & 0.0628828220393771 & -0.0068828220393771 \tabularnewline
72 & 0.061 & 0.0619350355993374 & -0.000935035599337445 \tabularnewline
73 & 0.063 & 0.04422692541355 & 0.01877307458645 \tabularnewline
74 & 0.054 & 0.0602052810283394 & -0.00620528102833941 \tabularnewline
75 & 0.046 & 0.038915893504539 & 0.00708410649546103 \tabularnewline
76 & 0.05 & 0.0474059287192684 & 0.00259407128073158 \tabularnewline
77 & 0.043 & 0.0367102591135876 & 0.00628974088641244 \tabularnewline
78 & 0.042 & 0.0295378376557913 & 0.0124621623442087 \tabularnewline
79 & 0.064 & 0.0568786313258627 & 0.00712136867413731 \tabularnewline
80 & 0.06 & 0.0511721083056739 & 0.00882789169432607 \tabularnewline
81 & 0.053 & 0.0377732744166688 & 0.0152267255833312 \tabularnewline
82 & 0.05 & 0.0356381295158829 & 0.0143618704841171 \tabularnewline
83 & 0.063 & 0.058168247725484 & 0.00483175227451605 \tabularnewline
84 & 0.047 & 0.049864880345975 & -0.00286488034597505 \tabularnewline
85 & 0.045 & 0.0594643323174339 & -0.0144643323174339 \tabularnewline
86 & 0.044 & 0.0578569157029681 & -0.0138569157029681 \tabularnewline
87 & 0.044 & 0.0643051186042667 & -0.0203051186042667 \tabularnewline
88 & 0.05 & 0.0517012579815853 & -0.00170125798158527 \tabularnewline
89 & 0.045 & 0.0594643323174339 & -0.0144643323174339 \tabularnewline
90 & 0.044 & 0.0578569157029681 & -0.0138569157029681 \tabularnewline
91 & 0.044 & 0.0643051186042667 & -0.0203051186042667 \tabularnewline
92 & 0.049 & 0.075040057701049 & -0.026040057701049 \tabularnewline
93 & 0.035 & 0.0415876220081459 & -0.00658762200814594 \tabularnewline
94 & 0.034 & 0.0406533390118043 & -0.0066533390118043 \tabularnewline
95 & 0.04 & 0.0506511574061211 & -0.0106511574061211 \tabularnewline
96 & 0.044 & 0.0572709229742697 & -0.0132709229742697 \tabularnewline
97 & 0.046 & 0.0387157320013579 & 0.00728426799864208 \tabularnewline
98 & 0.034 & 0.0458632763343125 & -0.0118632763343125 \tabularnewline
99 & 0.038 & 0.0298419725326895 & 0.00815802746731046 \tabularnewline
100 & 0.046 & 0.0387157320013579 & 0.00728426799864208 \tabularnewline
101 & 0.06 & 0.0552486015354642 & 0.00475139846453581 \tabularnewline
102 & 0.054 & 0.049165024207575 & 0.00483497579242498 \tabularnewline
103 & 0.05 & 0.055678161372497 & -0.00567816137249697 \tabularnewline
104 & 0.059 & 0.0496923102224024 & 0.00930768977759755 \tabularnewline
105 & 0.06 & 0.0552486015354642 & 0.00475139846453581 \tabularnewline
106 & 0.051 & 0.037589746600202 & 0.013410253399798 \tabularnewline
107 & 0.054 & 0.049165024207575 & 0.00483497579242498 \tabularnewline
108 & 0.04 & 0.0449199786191208 & -0.00491997861912077 \tabularnewline
109 & 0.04 & 0.0449199786191208 & -0.00491997861912077 \tabularnewline
110 & 0.051 & 0.0476355508019503 & 0.00336444919804968 \tabularnewline
111 & 0.082 & 0.0874812094459064 & -0.00548120944590641 \tabularnewline
112 & 0.052 & 0.0452331560048745 & 0.00676684399512547 \tabularnewline
113 & 0.056 & 0.0715306035075999 & -0.0155306035075999 \tabularnewline
114 & 0.049 & 0.0519652145217934 & -0.00296521452179339 \tabularnewline
115 & 0.049 & 0.0519652145217934 & -0.00296521452179339 \tabularnewline
116 & 0.065 & 0.0486534160710306 & 0.0163465839289694 \tabularnewline
117 & 0.041 & 0.0369597524000498 & 0.00404024759995021 \tabularnewline
118 & 0.035 & 0.0436641845510475 & -0.00866418455104752 \tabularnewline
119 & 0.056 & 0.0715306035075999 & -0.0155306035075999 \tabularnewline
120 & 0.06 & 0.0626496980672674 & -0.00264969806726737 \tabularnewline
121 & 0.046 & 0.0437737860433191 & 0.00222621395668089 \tabularnewline
122 & 0.054 & 0.0592180819026076 & -0.00521808190260763 \tabularnewline
123 & 0.059 & 0.0490733003203643 & 0.00992669967963569 \tabularnewline
124 & 0.058 & 0.0515111829374809 & 0.00648881706251915 \tabularnewline
125 & 0.092 & 0.0681352973217145 & 0.0238647026782855 \tabularnewline
126 & 0.026 & 0.0553011511417561 & -0.0293011511417561 \tabularnewline
127 & 0.033 & 0.0419344930678879 & -0.00893449306788791 \tabularnewline
128 & 0.038 & 0.0436055317635773 & -0.00560553176357729 \tabularnewline
129 & 0.044 & 0.0511646202084997 & -0.00716462020849975 \tabularnewline
130 & 0.046 & 0.0514780678620419 & -0.00547806786204187 \tabularnewline
131 & 0.02 & 0.0224101140408299 & -0.00241011404082989 \tabularnewline
132 & 0.038 & 0.0436055317635773 & -0.00560553176357729 \tabularnewline
133 & 0.038 & 0.0504029094644281 & -0.0124029094644281 \tabularnewline
134 & 0.035 & 0.0382309977184198 & -0.00323099771841976 \tabularnewline
135 & 0.034 & 0.058030706045959 & -0.024030706045959 \tabularnewline
136 & 0.036 & 0.0324819364584176 & 0.00351806354158237 \tabularnewline
137 & 0.027 & 0.0510397073103923 & -0.0240397073103923 \tabularnewline
138 & 0.045 & 0.0637992726647226 & -0.0187992726647226 \tabularnewline
139 & 0.035 & 0.0467166365964378 & -0.0117166365964378 \tabularnewline
140 & 0.029 & 0.0379515134199956 & -0.00895151341999564 \tabularnewline
141 & 0.045 & 0.0517819076438963 & -0.00678190764389629 \tabularnewline
142 & 0.045 & 0.0637992726647226 & -0.0187992726647226 \tabularnewline
143 & 0.039 & 0.0429580448986005 & -0.00395804489860055 \tabularnewline
144 & 0.036 & 0.0418622232596547 & -0.00586222325965471 \tabularnewline
145 & 0.037 & 0.0385924409047731 & -0.00159244090477312 \tabularnewline
146 & 0.04 & 0.0621872017162253 & -0.0221872017162253 \tabularnewline
147 & 0.044 & 0.0661259059020497 & -0.0221259059020497 \tabularnewline
148 & 0.058 & 0.0487791804830461 & 0.00922081951695386 \tabularnewline
149 & 0.034 & 0.0222335454095439 & 0.0117664545904562 \tabularnewline
150 & 0.054 & 0.0665227043731632 & -0.0125227043731632 \tabularnewline
151 & 0.043 & 0.0417765841724401 & 0.00122341582755989 \tabularnewline
152 & 0.055 & 0.0636183835986376 & -0.00861838359863765 \tabularnewline
153 & 0.054 & 0.0665227043731632 & -0.0125227043731632 \tabularnewline
154 & 0.048 & 0.0580936618291523 & -0.0100936618291523 \tabularnewline
155 & 0.049 & 0.0378563282474684 & 0.0111436717525316 \tabularnewline
156 & 0.066 & 0.0614079835039887 & 0.00459201649601132 \tabularnewline
157 & 0.066 & 0.0614079835039887 & 0.00459201649601132 \tabularnewline
158 & 0.036 & 0.0404091809667046 & -0.00440918096670462 \tabularnewline
159 & 0.036 & 0.0429521227587556 & -0.00695212275875558 \tabularnewline
160 & 0.036 & 0.0429521227587556 & -0.00695212275875558 \tabularnewline
161 & 0.036 & 0.0404091809667046 & -0.00440918096670462 \tabularnewline
162 & 0.055 & 0.0612576549462593 & -0.0062576549462593 \tabularnewline
163 & 0.049 & 0.0452561436497589 & 0.00374385635024113 \tabularnewline
164 & 0.066 & 0.0614079835039887 & 0.00459201649601132 \tabularnewline
165 & 0.05 & 0.0531009440596569 & -0.00310094405965685 \tabularnewline
166 & 0.051 & 0.0585584974575504 & -0.00755849745755044 \tabularnewline
167 & 0.048 & 0.0512408099335426 & -0.00324080993354256 \tabularnewline
168 & 0.034 & 0.0348179107629295 & -0.000817910762929482 \tabularnewline
169 & 0.055 & 0.0505447417005393 & 0.00445525829946069 \tabularnewline
170 & 0.034 & 0.0351107325491892 & -0.00111073254918919 \tabularnewline
171 & 0.066 & 0.0445404047741197 & 0.0214595952258803 \tabularnewline
172 & 0.045 & 0.0433879495311474 & 0.00161205046885264 \tabularnewline
173 & 0.037 & 0.0358768009009808 & 0.00112319909901922 \tabularnewline
174 & 0.038 & 0.0389621044310442 & -0.000962104431044172 \tabularnewline
175 & 0.051 & 0.0317933659216125 & 0.0192066340783875 \tabularnewline
176 & 0.04 & 0.0517716346586723 & -0.0117716346586723 \tabularnewline
177 & 0.044 & 0.0397403836208584 & 0.00425961637914156 \tabularnewline
178 & 0.054 & 0.0591855166108175 & -0.00518551661081754 \tabularnewline
179 & 0.06 & 0.0640066529990954 & -0.00400665299909538 \tabularnewline
180 & 0.049 & 0.0530856180298726 & -0.00408561802987257 \tabularnewline
181 & 0.048 & 0.0556122682686477 & -0.00761226826864774 \tabularnewline
182 & 0.053 & 0.0784661609325025 & -0.0254661609325025 \tabularnewline
183 & 0.048 & 0.0533570311116941 & -0.00535703111169413 \tabularnewline
184 & 0.05 & 0.0497304125408788 & 0.000269587459121191 \tabularnewline
185 & 0.043 & 0.0601398743304175 & -0.0171398743304175 \tabularnewline
186 & 0.043 & 0.0628788526664615 & -0.0198788526664615 \tabularnewline
187 & 0.04 & 0.0487864427145748 & -0.00878644271457478 \tabularnewline
188 & 0.038 & 0.0585326223163392 & -0.0205326223163392 \tabularnewline
189 & 0.034 & 0.0204906334238771 & 0.0135093665761229 \tabularnewline
190 & 0.047 & 0.0659658836429912 & -0.0189658836429912 \tabularnewline
191 & 0.052 & 0.0629343507382747 & -0.0109343507382747 \tabularnewline
192 & 0.048 & 0.0533570311116941 & -0.00535703111169413 \tabularnewline
193 & 0.045 & 0.0437710140467709 & 0.00122898595322915 \tabularnewline
194 & 0.055 & 0.0484346299862546 & 0.00656537001374544 \tabularnewline
195 & 0.2 & 0.091843395068309 & 0.108156604931691 \tabularnewline
196 & 0.197 & 0.0927926423392147 & 0.104207357660785 \tabularnewline
197 & 0.197 & 0.0937926770256342 & 0.103207322974366 \tabularnewline
198 & 0.052 & 0.0651459532432994 & -0.0131459532432994 \tabularnewline
199 & 0.05 & 0.0543195786768653 & -0.0043195786768653 \tabularnewline
200 & 0.052 & 0.0651459532432994 & -0.0131459532432994 \tabularnewline
201 & 0.049 & 0.0464957841563818 & 0.00250421584361823 \tabularnewline
202 & 0.05 & 0.0543195786768653 & -0.0043195786768653 \tabularnewline
203 & 0.05 & 0.0438469687584382 & 0.00615303124156182 \tabularnewline
204 & 0.034 & 0.0158131924382125 & 0.0181868075617875 \tabularnewline
205 & 0.053 & 0.0572213842854989 & -0.00422138428549889 \tabularnewline
206 & 0.042 & 0.0614904138490306 & -0.0194904138490306 \tabularnewline
207 & 0.045 & 0.0573862464043492 & -0.0123862464043492 \tabularnewline
208 & 0.049 & 0.0529499464291723 & -0.00394994642917232 \tabularnewline
209 & 0.04 & 0.0395931748740059 & 0.000406825125994086 \tabularnewline
210 & 0.048 & 0.0461112653832147 & 0.0018887346167853 \tabularnewline
211 & 0.032 & 0.0348003774232481 & -0.00280037742324805 \tabularnewline
212 & 0.038 & 0.0414406882743254 & -0.00344068827432537 \tabularnewline
213 & 0.045 & 0.0573862464043492 & -0.0123862464043492 \tabularnewline
214 & 0.051 & 0.0442160070364202 & 0.00678399296357984 \tabularnewline
215 & 0.03 & 0.0473460483624026 & -0.0173460483624026 \tabularnewline
216 & 0.044 & 0.0657468498838521 & -0.0217468498838521 \tabularnewline
217 & 0.036 & 0.0601210244967198 & -0.0241210244967198 \tabularnewline
218 & 0.044 & 0.0657468498838521 & -0.0217468498838521 \tabularnewline
219 & 0.044 & 0.0517988546448162 & -0.00779885464481624 \tabularnewline
220 & 0.036 & 0.0583846917302589 & -0.0223846917302589 \tabularnewline
221 & 0.036 & 0.0601210244967198 & -0.0241210244967198 \tabularnewline
222 & 0.07 & 0.0578523544072453 & 0.0121476455927547 \tabularnewline
223 & 0.03 & 0.0473460483624026 & -0.0173460483624026 \tabularnewline
224 & 0.043 & 0.0586045705058028 & -0.0156045705058028 \tabularnewline
225 & 0.046 & 0.0459249177460403 & 7.50822539596956e-05 \tabularnewline
226 & 0.046 & 0.0379150863965731 & 0.00808491360342692 \tabularnewline
227 & 0.048 & 0.047764453980781 & 0.000235546019219038 \tabularnewline
228 & 0.041 & 0.0562062456393295 & -0.0152062456393295 \tabularnewline
229 & 0.048 & 0.047764453980781 & 0.000235546019219038 \tabularnewline
230 & 0.046 & 0.0379150863965731 & 0.00808491360342692 \tabularnewline
231 & 0.062 & 0.0416218469531975 & 0.0203781530468025 \tabularnewline
232 & 0.041 & 0.0499401140136569 & -0.00894011401365689 \tabularnewline
233 & 0.039 & 0.0561987147869245 & -0.0171987147869245 \tabularnewline
234 & 0.058 & 0.0516662572429108 & 0.00633374275708918 \tabularnewline
235 & 0.058 & 0.0516662572429108 & 0.00633374275708918 \tabularnewline
236 & 0.058 & 0.0516662572429108 & 0.00633374275708918 \tabularnewline
237 & 0.058 & 0.0516662572429108 & 0.00633374275708918 \tabularnewline
238 & 0.044 & 0.0394390961537351 & 0.00456090384626491 \tabularnewline
239 & 0.037 & 0.0485413038639364 & -0.0115413038639364 \tabularnewline
240 & 0.039 & 0.0171682822342014 & 0.0218317177657986 \tabularnewline
241 & 0.05 & 0.0483035185409055 & 0.00169648145909451 \tabularnewline
242 & 0.031 & 0.0349672129731432 & -0.00396721297314317 \tabularnewline
243 & 0.026 & 0.0327112114181605 & -0.00671121141816052 \tabularnewline
244 & 0.047 & 0.0547136402367323 & -0.00771364023673229 \tabularnewline
245 & 0.043 & 0.0582905988169026 & -0.0152905988169026 \tabularnewline
246 & 0.038 & 0.0291940310841206 & 0.0088059689158794 \tabularnewline
247 & 0.03 & 0.028226477948475 & 0.00177352205152504 \tabularnewline
248 & 0.031 & 0.0414771282736805 & -0.0104771282736805 \tabularnewline
249 & 0.03 & 0.0430695867063711 & -0.0130695867063711 \tabularnewline
250 & 0.037 & 0.0353923102736899 & 0.00160768972631005 \tabularnewline
251 & 0.053 & 0.0499108037551685 & 0.00308919624483148 \tabularnewline
252 & 0.074 & 0.0309906832321793 & 0.0430093167678207 \tabularnewline
253 & 0.043 & 0.0582905988169026 & -0.0152905988169026 \tabularnewline
254 & 0.029 & 0.0234130029420165 & 0.00558699705798353 \tabularnewline
255 & 0.054 & 0.0668233787701516 & -0.0128233787701516 \tabularnewline
256 & 0.04 & 0.0567444801430011 & -0.0167444801430011 \tabularnewline
257 & 0.035 & 0.0318354447233577 & 0.00316455527664234 \tabularnewline
258 & 0.035 & 0.0318354447233577 & 0.00316455527664234 \tabularnewline
259 & 0.032 & 0.0395540854641042 & -0.00755408546410415 \tabularnewline
260 & 0.037 & 0.0438341501441633 & -0.0068341501441633 \tabularnewline
261 & 0.048 & 0.0467131047200164 & 0.00128689527998356 \tabularnewline
262 & 0.043 & 0.0483680481734873 & -0.0053680481734873 \tabularnewline
263 & 0.036 & 0.0429702024364486 & -0.00697020243644863 \tabularnewline
264 & 0.045 & 0.0529088902280651 & -0.00790889022806509 \tabularnewline
265 & 0.038 & 0.0507821004619126 & -0.0127821004619126 \tabularnewline
266 & 0.043 & 0.0483680481734873 & -0.0053680481734873 \tabularnewline
267 & 0.053 & 0.0493714764782803 & 0.00362852352171971 \tabularnewline
268 & 0.043 & 0.0436310955917998 & -0.00063109559179979 \tabularnewline
269 & 0.044 & 0.0428188083758164 & 0.0011811916241836 \tabularnewline
270 & 0.045 & 0.0419163742928896 & 0.00308362570711042 \tabularnewline
271 & 0.053 & 0.0493714764782803 & 0.00362852352171971 \tabularnewline
272 & 0.044 & 0.0438018113311964 & 0.000198188668803584 \tabularnewline
273 & 0.051 & 0.0536112898948429 & -0.00261128989484291 \tabularnewline
274 & 0.057 & 0.0580764306072123 & -0.00107643060721227 \tabularnewline
275 & 0.046 & 0.0576619630191 & -0.0116619630191 \tabularnewline
276 & 0.046 & 0.053616665029584 & -0.00761666502958398 \tabularnewline
277 & 0.044 & 0.0506905561606446 & -0.00669055616064457 \tabularnewline
278 & 0.042 & 0.0512980191461069 & -0.00929801914610694 \tabularnewline
279 & 0.044 & 0.0577781254358364 & -0.0137781254358364 \tabularnewline
280 & 0.036 & 0.0180321551737579 & 0.0179678448262421 \tabularnewline
281 & 0.034 & 0.0299600295455347 & 0.00403997045446531 \tabularnewline
282 & 0.039 & 0.0250983066955623 & 0.0139016933044377 \tabularnewline
283 & 0.047 & 0.054919081645491 & -0.00791908164549102 \tabularnewline
284 & 0.054 & 0.0441688349597489 & 0.00983116504025108 \tabularnewline
285 & 0.055 & 0.0472245690742326 & 0.00777543092576739 \tabularnewline
286 & 0.056 & 0.0639980399708336 & -0.00799803997083357 \tabularnewline
287 & 0.053 & 0.0402378398701425 & 0.0127621601298575 \tabularnewline
288 & 0.058 & 0.0539875762780835 & 0.00401242372191648 \tabularnewline
289 & 0.058 & 0.0539875762780835 & 0.00401242372191648 \tabularnewline
290 & 0.058 & 0.0539875762780835 & 0.00401242372191648 \tabularnewline
291 & 0.058 & 0.0539875762780835 & 0.00401242372191648 \tabularnewline
292 & 0.041 & 0.0534171716291253 & -0.0124171716291253 \tabularnewline
293 & 0.066 & 0.0521441343184508 & 0.0138558656815492 \tabularnewline
294 & 0.041 & 0.0355576220585321 & 0.00544237794146786 \tabularnewline
295 & 0.066 & 0.0733062981499232 & -0.00730629814992319 \tabularnewline
296 & 0.046 & 0.0521903936398788 & -0.00619039363987877 \tabularnewline
297 & 0.045 & 0.0474628816571126 & -0.00246288165711264 \tabularnewline
298 & 0.041 & 0.0643872273401539 & -0.0233872273401539 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154489&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]0.045[/C][C]0.0544578289629795[/C][C]-0.00945782896297947[/C][/ROW]
[ROW][C]2[/C][C]0.049[/C][C]0.0581453662365144[/C][C]-0.00914536623651437[/C][/ROW]
[ROW][C]3[/C][C]0.05[/C][C]0.0395347897428837[/C][C]0.0104652102571163[/C][/ROW]
[ROW][C]4[/C][C]0.058[/C][C]0.0543038516451516[/C][C]0.0036961483548484[/C][/ROW]
[ROW][C]5[/C][C]0.058[/C][C]0.0543038516451516[/C][C]0.00369614835484836[/C][/ROW]
[ROW][C]6[/C][C]0.05[/C][C]0.0395347897428837[/C][C]0.0104652102571163[/C][/ROW]
[ROW][C]7[/C][C]0.045[/C][C]0.0538077972945297[/C][C]-0.00880779729452967[/C][/ROW]
[ROW][C]8[/C][C]0.045[/C][C]0.0544578289629781[/C][C]-0.00945782896297812[/C][/ROW]
[ROW][C]9[/C][C]0.049[/C][C]0.0581453662365144[/C][C]-0.00914536623651435[/C][/ROW]
[ROW][C]10[/C][C]0.044[/C][C]0.0596966658061118[/C][C]-0.0156966658061118[/C][/ROW]
[ROW][C]11[/C][C]0.033[/C][C]0.0364665178735266[/C][C]-0.00346651787352661[/C][/ROW]
[ROW][C]12[/C][C]0.035[/C][C]0.0415298508653297[/C][C]-0.00652985086532972[/C][/ROW]
[ROW][C]13[/C][C]0.04[/C][C]0.0339221361225266[/C][C]0.00607786387747335[/C][/ROW]
[ROW][C]14[/C][C]0.044[/C][C]0.0363399995117873[/C][C]0.00766000048821266[/C][/ROW]
[ROW][C]15[/C][C]0.04[/C][C]0.0359306929543725[/C][C]0.00406930704562751[/C][/ROW]
[ROW][C]16[/C][C]0.032[/C][C]0.0429041506303469[/C][C]-0.0109041506303469[/C][/ROW]
[ROW][C]17[/C][C]0.046[/C][C]0.0620365405763308[/C][C]-0.0160365405763308[/C][/ROW]
[ROW][C]18[/C][C]0.029[/C][C]0.0317859322737939[/C][C]-0.00278593227379386[/C][/ROW]
[ROW][C]19[/C][C]0.033[/C][C]0.0426558922092116[/C][C]-0.00965589220921161[/C][/ROW]
[ROW][C]20[/C][C]0.044[/C][C]0.0530155826120284[/C][C]-0.00901558261202837[/C][/ROW]
[ROW][C]21[/C][C]0.029[/C][C]0.0317859322737939[/C][C]-0.00278593227379386[/C][/ROW]
[ROW][C]22[/C][C]0.038[/C][C]0.0430876653511008[/C][C]-0.00508766535110081[/C][/ROW]
[ROW][C]23[/C][C]0.049[/C][C]0.0462912660610735[/C][C]0.00270873393892654[/C][/ROW]
[ROW][C]24[/C][C]0.074[/C][C]0.0562536175744573[/C][C]0.0177463824255427[/C][/ROW]
[ROW][C]25[/C][C]0.052[/C][C]0.0663811202603933[/C][C]-0.0143811202603933[/C][/ROW]
[ROW][C]26[/C][C]0.046[/C][C]0.0481774627551441[/C][C]-0.00217746275514415[/C][/ROW]
[ROW][C]27[/C][C]0.052[/C][C]0.0479555491213834[/C][C]0.00404445087861658[/C][/ROW]
[ROW][C]28[/C][C]0.051[/C][C]0.0418749114541854[/C][C]0.00912508854581458[/C][/ROW]
[ROW][C]29[/C][C]0.047[/C][C]0.0404811424677457[/C][C]0.00651885753225435[/C][/ROW]
[ROW][C]30[/C][C]0.033[/C][C]0.0341473072397238[/C][C]-0.0011473072397238[/C][/ROW]
[ROW][C]31[/C][C]0.044[/C][C]0.03615825849093[/C][C]0.00784174150906996[/C][/ROW]
[ROW][C]32[/C][C]0.042[/C][C]0.0321989531263953[/C][C]0.00980104687360472[/C][/ROW]
[ROW][C]33[/C][C]0.05[/C][C]0.0462253112866634[/C][C]0.00377468871333659[/C][/ROW]
[ROW][C]34[/C][C]0.045[/C][C]0.0607118032470059[/C][C]-0.0157118032470059[/C][/ROW]
[ROW][C]35[/C][C]0.044[/C][C]0.0221019903783809[/C][C]0.0218980096216191[/C][/ROW]
[ROW][C]36[/C][C]0.08[/C][C]0.0400808114480768[/C][C]0.0399191885519232[/C][/ROW]
[ROW][C]37[/C][C]0.051[/C][C]0.0449893137230778[/C][C]0.00601068627692219[/C][/ROW]
[ROW][C]38[/C][C]0.053[/C][C]0.053077803147617[/C][C]-7.78031476169549e-05[/C][/ROW]
[ROW][C]39[/C][C]0.057[/C][C]0.0460504208839831[/C][C]0.0109495791160169[/C][/ROW]
[ROW][C]40[/C][C]0.057[/C][C]0.0460504208839831[/C][C]0.0109495791160169[/C][/ROW]
[ROW][C]41[/C][C]0.172[/C][C]0.0825320412860027[/C][C]0.0894679587139973[/C][/ROW]
[ROW][C]42[/C][C]0.173[/C][C]0.081875896135409[/C][C]0.0911241038645909[/C][/ROW]
[ROW][C]43[/C][C]0.069[/C][C]0.0529145865289949[/C][C]0.0160854134710051[/C][/ROW]
[ROW][C]44[/C][C]0.057[/C][C]0.0579467947240283[/C][C]-0.000946794724028271[/C][/ROW]
[ROW][C]45[/C][C]0.06[/C][C]0.055618741111377[/C][C]0.004381258888623[/C][/ROW]
[ROW][C]46[/C][C]0.058[/C][C]0.0553677030696118[/C][C]0.00263229693038817[/C][/ROW]
[ROW][C]47[/C][C]0.063[/C][C]0.0634271421886454[/C][C]-0.000427142188645368[/C][/ROW]
[ROW][C]48[/C][C]0.066[/C][C]0.0620226585834737[/C][C]0.00397734141652633[/C][/ROW]
[ROW][C]49[/C][C]0.069[/C][C]0.0529145865289949[/C][C]0.0160854134710051[/C][/ROW]
[ROW][C]50[/C][C]0.067[/C][C]0.0514371609074634[/C][C]0.0155628390925366[/C][/ROW]
[ROW][C]51[/C][C]0.062[/C][C]0.0396554998586347[/C][C]0.0223445001413653[/C][/ROW]
[ROW][C]52[/C][C]0.068[/C][C]0.0388756566335899[/C][C]0.0291243433664101[/C][/ROW]
[ROW][C]53[/C][C]0.057[/C][C]0.0397649635058133[/C][C]0.0172350364941868[/C][/ROW]
[ROW][C]54[/C][C]0.045[/C][C]0.0524019601638158[/C][C]-0.0074019601638158[/C][/ROW]
[ROW][C]55[/C][C]0.147[/C][C]0.0759341866350853[/C][C]0.0710658133649147[/C][/ROW]
[ROW][C]56[/C][C]0.039[/C][C]0.0389098417151273[/C][C]9.01582848727146e-05[/C][/ROW]
[ROW][C]57[/C][C]0.043[/C][C]0.0379218869156875[/C][C]0.00507811308431245[/C][/ROW]
[ROW][C]58[/C][C]0.048[/C][C]0.0554389642030877[/C][C]-0.00743896420308773[/C][/ROW]
[ROW][C]59[/C][C]0.044[/C][C]0.0536975271222097[/C][C]-0.00969752712220971[/C][/ROW]
[ROW][C]60[/C][C]0.038[/C][C]0.0520853863167284[/C][C]-0.0140853863167284[/C][/ROW]
[ROW][C]61[/C][C]0.092[/C][C]0.0675610947475735[/C][C]0.0244389052524265[/C][/ROW]
[ROW][C]62[/C][C]0.048[/C][C]0.0554389642030877[/C][C]-0.00743896420308773[/C][/ROW]
[ROW][C]63[/C][C]0.035[/C][C]0.0482101851801835[/C][C]-0.0132101851801835[/C][/ROW]
[ROW][C]64[/C][C]0.044[/C][C]0.0536975271222097[/C][C]-0.00969752712220971[/C][/ROW]
[ROW][C]65[/C][C]0.038[/C][C]0.0573881028666419[/C][C]-0.0193881028666419[/C][/ROW]
[ROW][C]66[/C][C]0.064[/C][C]0.0601392803119871[/C][C]0.00386071968801294[/C][/ROW]
[ROW][C]67[/C][C]0.04[/C][C]0.0144797589434389[/C][C]0.0255202410565611[/C][/ROW]
[ROW][C]68[/C][C]0.041[/C][C]0.073610351350657[/C][C]-0.032610351350657[/C][/ROW]
[ROW][C]69[/C][C]0.046[/C][C]0.038915893504539[/C][C]0.00708410649546103[/C][/ROW]
[ROW][C]70[/C][C]0.05[/C][C]0.0474059287192684[/C][C]0.00259407128073158[/C][/ROW]
[ROW][C]71[/C][C]0.056[/C][C]0.0628828220393771[/C][C]-0.0068828220393771[/C][/ROW]
[ROW][C]72[/C][C]0.061[/C][C]0.0619350355993374[/C][C]-0.000935035599337445[/C][/ROW]
[ROW][C]73[/C][C]0.063[/C][C]0.04422692541355[/C][C]0.01877307458645[/C][/ROW]
[ROW][C]74[/C][C]0.054[/C][C]0.0602052810283394[/C][C]-0.00620528102833941[/C][/ROW]
[ROW][C]75[/C][C]0.046[/C][C]0.038915893504539[/C][C]0.00708410649546103[/C][/ROW]
[ROW][C]76[/C][C]0.05[/C][C]0.0474059287192684[/C][C]0.00259407128073158[/C][/ROW]
[ROW][C]77[/C][C]0.043[/C][C]0.0367102591135876[/C][C]0.00628974088641244[/C][/ROW]
[ROW][C]78[/C][C]0.042[/C][C]0.0295378376557913[/C][C]0.0124621623442087[/C][/ROW]
[ROW][C]79[/C][C]0.064[/C][C]0.0568786313258627[/C][C]0.00712136867413731[/C][/ROW]
[ROW][C]80[/C][C]0.06[/C][C]0.0511721083056739[/C][C]0.00882789169432607[/C][/ROW]
[ROW][C]81[/C][C]0.053[/C][C]0.0377732744166688[/C][C]0.0152267255833312[/C][/ROW]
[ROW][C]82[/C][C]0.05[/C][C]0.0356381295158829[/C][C]0.0143618704841171[/C][/ROW]
[ROW][C]83[/C][C]0.063[/C][C]0.058168247725484[/C][C]0.00483175227451605[/C][/ROW]
[ROW][C]84[/C][C]0.047[/C][C]0.049864880345975[/C][C]-0.00286488034597505[/C][/ROW]
[ROW][C]85[/C][C]0.045[/C][C]0.0594643323174339[/C][C]-0.0144643323174339[/C][/ROW]
[ROW][C]86[/C][C]0.044[/C][C]0.0578569157029681[/C][C]-0.0138569157029681[/C][/ROW]
[ROW][C]87[/C][C]0.044[/C][C]0.0643051186042667[/C][C]-0.0203051186042667[/C][/ROW]
[ROW][C]88[/C][C]0.05[/C][C]0.0517012579815853[/C][C]-0.00170125798158527[/C][/ROW]
[ROW][C]89[/C][C]0.045[/C][C]0.0594643323174339[/C][C]-0.0144643323174339[/C][/ROW]
[ROW][C]90[/C][C]0.044[/C][C]0.0578569157029681[/C][C]-0.0138569157029681[/C][/ROW]
[ROW][C]91[/C][C]0.044[/C][C]0.0643051186042667[/C][C]-0.0203051186042667[/C][/ROW]
[ROW][C]92[/C][C]0.049[/C][C]0.075040057701049[/C][C]-0.026040057701049[/C][/ROW]
[ROW][C]93[/C][C]0.035[/C][C]0.0415876220081459[/C][C]-0.00658762200814594[/C][/ROW]
[ROW][C]94[/C][C]0.034[/C][C]0.0406533390118043[/C][C]-0.0066533390118043[/C][/ROW]
[ROW][C]95[/C][C]0.04[/C][C]0.0506511574061211[/C][C]-0.0106511574061211[/C][/ROW]
[ROW][C]96[/C][C]0.044[/C][C]0.0572709229742697[/C][C]-0.0132709229742697[/C][/ROW]
[ROW][C]97[/C][C]0.046[/C][C]0.0387157320013579[/C][C]0.00728426799864208[/C][/ROW]
[ROW][C]98[/C][C]0.034[/C][C]0.0458632763343125[/C][C]-0.0118632763343125[/C][/ROW]
[ROW][C]99[/C][C]0.038[/C][C]0.0298419725326895[/C][C]0.00815802746731046[/C][/ROW]
[ROW][C]100[/C][C]0.046[/C][C]0.0387157320013579[/C][C]0.00728426799864208[/C][/ROW]
[ROW][C]101[/C][C]0.06[/C][C]0.0552486015354642[/C][C]0.00475139846453581[/C][/ROW]
[ROW][C]102[/C][C]0.054[/C][C]0.049165024207575[/C][C]0.00483497579242498[/C][/ROW]
[ROW][C]103[/C][C]0.05[/C][C]0.055678161372497[/C][C]-0.00567816137249697[/C][/ROW]
[ROW][C]104[/C][C]0.059[/C][C]0.0496923102224024[/C][C]0.00930768977759755[/C][/ROW]
[ROW][C]105[/C][C]0.06[/C][C]0.0552486015354642[/C][C]0.00475139846453581[/C][/ROW]
[ROW][C]106[/C][C]0.051[/C][C]0.037589746600202[/C][C]0.013410253399798[/C][/ROW]
[ROW][C]107[/C][C]0.054[/C][C]0.049165024207575[/C][C]0.00483497579242498[/C][/ROW]
[ROW][C]108[/C][C]0.04[/C][C]0.0449199786191208[/C][C]-0.00491997861912077[/C][/ROW]
[ROW][C]109[/C][C]0.04[/C][C]0.0449199786191208[/C][C]-0.00491997861912077[/C][/ROW]
[ROW][C]110[/C][C]0.051[/C][C]0.0476355508019503[/C][C]0.00336444919804968[/C][/ROW]
[ROW][C]111[/C][C]0.082[/C][C]0.0874812094459064[/C][C]-0.00548120944590641[/C][/ROW]
[ROW][C]112[/C][C]0.052[/C][C]0.0452331560048745[/C][C]0.00676684399512547[/C][/ROW]
[ROW][C]113[/C][C]0.056[/C][C]0.0715306035075999[/C][C]-0.0155306035075999[/C][/ROW]
[ROW][C]114[/C][C]0.049[/C][C]0.0519652145217934[/C][C]-0.00296521452179339[/C][/ROW]
[ROW][C]115[/C][C]0.049[/C][C]0.0519652145217934[/C][C]-0.00296521452179339[/C][/ROW]
[ROW][C]116[/C][C]0.065[/C][C]0.0486534160710306[/C][C]0.0163465839289694[/C][/ROW]
[ROW][C]117[/C][C]0.041[/C][C]0.0369597524000498[/C][C]0.00404024759995021[/C][/ROW]
[ROW][C]118[/C][C]0.035[/C][C]0.0436641845510475[/C][C]-0.00866418455104752[/C][/ROW]
[ROW][C]119[/C][C]0.056[/C][C]0.0715306035075999[/C][C]-0.0155306035075999[/C][/ROW]
[ROW][C]120[/C][C]0.06[/C][C]0.0626496980672674[/C][C]-0.00264969806726737[/C][/ROW]
[ROW][C]121[/C][C]0.046[/C][C]0.0437737860433191[/C][C]0.00222621395668089[/C][/ROW]
[ROW][C]122[/C][C]0.054[/C][C]0.0592180819026076[/C][C]-0.00521808190260763[/C][/ROW]
[ROW][C]123[/C][C]0.059[/C][C]0.0490733003203643[/C][C]0.00992669967963569[/C][/ROW]
[ROW][C]124[/C][C]0.058[/C][C]0.0515111829374809[/C][C]0.00648881706251915[/C][/ROW]
[ROW][C]125[/C][C]0.092[/C][C]0.0681352973217145[/C][C]0.0238647026782855[/C][/ROW]
[ROW][C]126[/C][C]0.026[/C][C]0.0553011511417561[/C][C]-0.0293011511417561[/C][/ROW]
[ROW][C]127[/C][C]0.033[/C][C]0.0419344930678879[/C][C]-0.00893449306788791[/C][/ROW]
[ROW][C]128[/C][C]0.038[/C][C]0.0436055317635773[/C][C]-0.00560553176357729[/C][/ROW]
[ROW][C]129[/C][C]0.044[/C][C]0.0511646202084997[/C][C]-0.00716462020849975[/C][/ROW]
[ROW][C]130[/C][C]0.046[/C][C]0.0514780678620419[/C][C]-0.00547806786204187[/C][/ROW]
[ROW][C]131[/C][C]0.02[/C][C]0.0224101140408299[/C][C]-0.00241011404082989[/C][/ROW]
[ROW][C]132[/C][C]0.038[/C][C]0.0436055317635773[/C][C]-0.00560553176357729[/C][/ROW]
[ROW][C]133[/C][C]0.038[/C][C]0.0504029094644281[/C][C]-0.0124029094644281[/C][/ROW]
[ROW][C]134[/C][C]0.035[/C][C]0.0382309977184198[/C][C]-0.00323099771841976[/C][/ROW]
[ROW][C]135[/C][C]0.034[/C][C]0.058030706045959[/C][C]-0.024030706045959[/C][/ROW]
[ROW][C]136[/C][C]0.036[/C][C]0.0324819364584176[/C][C]0.00351806354158237[/C][/ROW]
[ROW][C]137[/C][C]0.027[/C][C]0.0510397073103923[/C][C]-0.0240397073103923[/C][/ROW]
[ROW][C]138[/C][C]0.045[/C][C]0.0637992726647226[/C][C]-0.0187992726647226[/C][/ROW]
[ROW][C]139[/C][C]0.035[/C][C]0.0467166365964378[/C][C]-0.0117166365964378[/C][/ROW]
[ROW][C]140[/C][C]0.029[/C][C]0.0379515134199956[/C][C]-0.00895151341999564[/C][/ROW]
[ROW][C]141[/C][C]0.045[/C][C]0.0517819076438963[/C][C]-0.00678190764389629[/C][/ROW]
[ROW][C]142[/C][C]0.045[/C][C]0.0637992726647226[/C][C]-0.0187992726647226[/C][/ROW]
[ROW][C]143[/C][C]0.039[/C][C]0.0429580448986005[/C][C]-0.00395804489860055[/C][/ROW]
[ROW][C]144[/C][C]0.036[/C][C]0.0418622232596547[/C][C]-0.00586222325965471[/C][/ROW]
[ROW][C]145[/C][C]0.037[/C][C]0.0385924409047731[/C][C]-0.00159244090477312[/C][/ROW]
[ROW][C]146[/C][C]0.04[/C][C]0.0621872017162253[/C][C]-0.0221872017162253[/C][/ROW]
[ROW][C]147[/C][C]0.044[/C][C]0.0661259059020497[/C][C]-0.0221259059020497[/C][/ROW]
[ROW][C]148[/C][C]0.058[/C][C]0.0487791804830461[/C][C]0.00922081951695386[/C][/ROW]
[ROW][C]149[/C][C]0.034[/C][C]0.0222335454095439[/C][C]0.0117664545904562[/C][/ROW]
[ROW][C]150[/C][C]0.054[/C][C]0.0665227043731632[/C][C]-0.0125227043731632[/C][/ROW]
[ROW][C]151[/C][C]0.043[/C][C]0.0417765841724401[/C][C]0.00122341582755989[/C][/ROW]
[ROW][C]152[/C][C]0.055[/C][C]0.0636183835986376[/C][C]-0.00861838359863765[/C][/ROW]
[ROW][C]153[/C][C]0.054[/C][C]0.0665227043731632[/C][C]-0.0125227043731632[/C][/ROW]
[ROW][C]154[/C][C]0.048[/C][C]0.0580936618291523[/C][C]-0.0100936618291523[/C][/ROW]
[ROW][C]155[/C][C]0.049[/C][C]0.0378563282474684[/C][C]0.0111436717525316[/C][/ROW]
[ROW][C]156[/C][C]0.066[/C][C]0.0614079835039887[/C][C]0.00459201649601132[/C][/ROW]
[ROW][C]157[/C][C]0.066[/C][C]0.0614079835039887[/C][C]0.00459201649601132[/C][/ROW]
[ROW][C]158[/C][C]0.036[/C][C]0.0404091809667046[/C][C]-0.00440918096670462[/C][/ROW]
[ROW][C]159[/C][C]0.036[/C][C]0.0429521227587556[/C][C]-0.00695212275875558[/C][/ROW]
[ROW][C]160[/C][C]0.036[/C][C]0.0429521227587556[/C][C]-0.00695212275875558[/C][/ROW]
[ROW][C]161[/C][C]0.036[/C][C]0.0404091809667046[/C][C]-0.00440918096670462[/C][/ROW]
[ROW][C]162[/C][C]0.055[/C][C]0.0612576549462593[/C][C]-0.0062576549462593[/C][/ROW]
[ROW][C]163[/C][C]0.049[/C][C]0.0452561436497589[/C][C]0.00374385635024113[/C][/ROW]
[ROW][C]164[/C][C]0.066[/C][C]0.0614079835039887[/C][C]0.00459201649601132[/C][/ROW]
[ROW][C]165[/C][C]0.05[/C][C]0.0531009440596569[/C][C]-0.00310094405965685[/C][/ROW]
[ROW][C]166[/C][C]0.051[/C][C]0.0585584974575504[/C][C]-0.00755849745755044[/C][/ROW]
[ROW][C]167[/C][C]0.048[/C][C]0.0512408099335426[/C][C]-0.00324080993354256[/C][/ROW]
[ROW][C]168[/C][C]0.034[/C][C]0.0348179107629295[/C][C]-0.000817910762929482[/C][/ROW]
[ROW][C]169[/C][C]0.055[/C][C]0.0505447417005393[/C][C]0.00445525829946069[/C][/ROW]
[ROW][C]170[/C][C]0.034[/C][C]0.0351107325491892[/C][C]-0.00111073254918919[/C][/ROW]
[ROW][C]171[/C][C]0.066[/C][C]0.0445404047741197[/C][C]0.0214595952258803[/C][/ROW]
[ROW][C]172[/C][C]0.045[/C][C]0.0433879495311474[/C][C]0.00161205046885264[/C][/ROW]
[ROW][C]173[/C][C]0.037[/C][C]0.0358768009009808[/C][C]0.00112319909901922[/C][/ROW]
[ROW][C]174[/C][C]0.038[/C][C]0.0389621044310442[/C][C]-0.000962104431044172[/C][/ROW]
[ROW][C]175[/C][C]0.051[/C][C]0.0317933659216125[/C][C]0.0192066340783875[/C][/ROW]
[ROW][C]176[/C][C]0.04[/C][C]0.0517716346586723[/C][C]-0.0117716346586723[/C][/ROW]
[ROW][C]177[/C][C]0.044[/C][C]0.0397403836208584[/C][C]0.00425961637914156[/C][/ROW]
[ROW][C]178[/C][C]0.054[/C][C]0.0591855166108175[/C][C]-0.00518551661081754[/C][/ROW]
[ROW][C]179[/C][C]0.06[/C][C]0.0640066529990954[/C][C]-0.00400665299909538[/C][/ROW]
[ROW][C]180[/C][C]0.049[/C][C]0.0530856180298726[/C][C]-0.00408561802987257[/C][/ROW]
[ROW][C]181[/C][C]0.048[/C][C]0.0556122682686477[/C][C]-0.00761226826864774[/C][/ROW]
[ROW][C]182[/C][C]0.053[/C][C]0.0784661609325025[/C][C]-0.0254661609325025[/C][/ROW]
[ROW][C]183[/C][C]0.048[/C][C]0.0533570311116941[/C][C]-0.00535703111169413[/C][/ROW]
[ROW][C]184[/C][C]0.05[/C][C]0.0497304125408788[/C][C]0.000269587459121191[/C][/ROW]
[ROW][C]185[/C][C]0.043[/C][C]0.0601398743304175[/C][C]-0.0171398743304175[/C][/ROW]
[ROW][C]186[/C][C]0.043[/C][C]0.0628788526664615[/C][C]-0.0198788526664615[/C][/ROW]
[ROW][C]187[/C][C]0.04[/C][C]0.0487864427145748[/C][C]-0.00878644271457478[/C][/ROW]
[ROW][C]188[/C][C]0.038[/C][C]0.0585326223163392[/C][C]-0.0205326223163392[/C][/ROW]
[ROW][C]189[/C][C]0.034[/C][C]0.0204906334238771[/C][C]0.0135093665761229[/C][/ROW]
[ROW][C]190[/C][C]0.047[/C][C]0.0659658836429912[/C][C]-0.0189658836429912[/C][/ROW]
[ROW][C]191[/C][C]0.052[/C][C]0.0629343507382747[/C][C]-0.0109343507382747[/C][/ROW]
[ROW][C]192[/C][C]0.048[/C][C]0.0533570311116941[/C][C]-0.00535703111169413[/C][/ROW]
[ROW][C]193[/C][C]0.045[/C][C]0.0437710140467709[/C][C]0.00122898595322915[/C][/ROW]
[ROW][C]194[/C][C]0.055[/C][C]0.0484346299862546[/C][C]0.00656537001374544[/C][/ROW]
[ROW][C]195[/C][C]0.2[/C][C]0.091843395068309[/C][C]0.108156604931691[/C][/ROW]
[ROW][C]196[/C][C]0.197[/C][C]0.0927926423392147[/C][C]0.104207357660785[/C][/ROW]
[ROW][C]197[/C][C]0.197[/C][C]0.0937926770256342[/C][C]0.103207322974366[/C][/ROW]
[ROW][C]198[/C][C]0.052[/C][C]0.0651459532432994[/C][C]-0.0131459532432994[/C][/ROW]
[ROW][C]199[/C][C]0.05[/C][C]0.0543195786768653[/C][C]-0.0043195786768653[/C][/ROW]
[ROW][C]200[/C][C]0.052[/C][C]0.0651459532432994[/C][C]-0.0131459532432994[/C][/ROW]
[ROW][C]201[/C][C]0.049[/C][C]0.0464957841563818[/C][C]0.00250421584361823[/C][/ROW]
[ROW][C]202[/C][C]0.05[/C][C]0.0543195786768653[/C][C]-0.0043195786768653[/C][/ROW]
[ROW][C]203[/C][C]0.05[/C][C]0.0438469687584382[/C][C]0.00615303124156182[/C][/ROW]
[ROW][C]204[/C][C]0.034[/C][C]0.0158131924382125[/C][C]0.0181868075617875[/C][/ROW]
[ROW][C]205[/C][C]0.053[/C][C]0.0572213842854989[/C][C]-0.00422138428549889[/C][/ROW]
[ROW][C]206[/C][C]0.042[/C][C]0.0614904138490306[/C][C]-0.0194904138490306[/C][/ROW]
[ROW][C]207[/C][C]0.045[/C][C]0.0573862464043492[/C][C]-0.0123862464043492[/C][/ROW]
[ROW][C]208[/C][C]0.049[/C][C]0.0529499464291723[/C][C]-0.00394994642917232[/C][/ROW]
[ROW][C]209[/C][C]0.04[/C][C]0.0395931748740059[/C][C]0.000406825125994086[/C][/ROW]
[ROW][C]210[/C][C]0.048[/C][C]0.0461112653832147[/C][C]0.0018887346167853[/C][/ROW]
[ROW][C]211[/C][C]0.032[/C][C]0.0348003774232481[/C][C]-0.00280037742324805[/C][/ROW]
[ROW][C]212[/C][C]0.038[/C][C]0.0414406882743254[/C][C]-0.00344068827432537[/C][/ROW]
[ROW][C]213[/C][C]0.045[/C][C]0.0573862464043492[/C][C]-0.0123862464043492[/C][/ROW]
[ROW][C]214[/C][C]0.051[/C][C]0.0442160070364202[/C][C]0.00678399296357984[/C][/ROW]
[ROW][C]215[/C][C]0.03[/C][C]0.0473460483624026[/C][C]-0.0173460483624026[/C][/ROW]
[ROW][C]216[/C][C]0.044[/C][C]0.0657468498838521[/C][C]-0.0217468498838521[/C][/ROW]
[ROW][C]217[/C][C]0.036[/C][C]0.0601210244967198[/C][C]-0.0241210244967198[/C][/ROW]
[ROW][C]218[/C][C]0.044[/C][C]0.0657468498838521[/C][C]-0.0217468498838521[/C][/ROW]
[ROW][C]219[/C][C]0.044[/C][C]0.0517988546448162[/C][C]-0.00779885464481624[/C][/ROW]
[ROW][C]220[/C][C]0.036[/C][C]0.0583846917302589[/C][C]-0.0223846917302589[/C][/ROW]
[ROW][C]221[/C][C]0.036[/C][C]0.0601210244967198[/C][C]-0.0241210244967198[/C][/ROW]
[ROW][C]222[/C][C]0.07[/C][C]0.0578523544072453[/C][C]0.0121476455927547[/C][/ROW]
[ROW][C]223[/C][C]0.03[/C][C]0.0473460483624026[/C][C]-0.0173460483624026[/C][/ROW]
[ROW][C]224[/C][C]0.043[/C][C]0.0586045705058028[/C][C]-0.0156045705058028[/C][/ROW]
[ROW][C]225[/C][C]0.046[/C][C]0.0459249177460403[/C][C]7.50822539596956e-05[/C][/ROW]
[ROW][C]226[/C][C]0.046[/C][C]0.0379150863965731[/C][C]0.00808491360342692[/C][/ROW]
[ROW][C]227[/C][C]0.048[/C][C]0.047764453980781[/C][C]0.000235546019219038[/C][/ROW]
[ROW][C]228[/C][C]0.041[/C][C]0.0562062456393295[/C][C]-0.0152062456393295[/C][/ROW]
[ROW][C]229[/C][C]0.048[/C][C]0.047764453980781[/C][C]0.000235546019219038[/C][/ROW]
[ROW][C]230[/C][C]0.046[/C][C]0.0379150863965731[/C][C]0.00808491360342692[/C][/ROW]
[ROW][C]231[/C][C]0.062[/C][C]0.0416218469531975[/C][C]0.0203781530468025[/C][/ROW]
[ROW][C]232[/C][C]0.041[/C][C]0.0499401140136569[/C][C]-0.00894011401365689[/C][/ROW]
[ROW][C]233[/C][C]0.039[/C][C]0.0561987147869245[/C][C]-0.0171987147869245[/C][/ROW]
[ROW][C]234[/C][C]0.058[/C][C]0.0516662572429108[/C][C]0.00633374275708918[/C][/ROW]
[ROW][C]235[/C][C]0.058[/C][C]0.0516662572429108[/C][C]0.00633374275708918[/C][/ROW]
[ROW][C]236[/C][C]0.058[/C][C]0.0516662572429108[/C][C]0.00633374275708918[/C][/ROW]
[ROW][C]237[/C][C]0.058[/C][C]0.0516662572429108[/C][C]0.00633374275708918[/C][/ROW]
[ROW][C]238[/C][C]0.044[/C][C]0.0394390961537351[/C][C]0.00456090384626491[/C][/ROW]
[ROW][C]239[/C][C]0.037[/C][C]0.0485413038639364[/C][C]-0.0115413038639364[/C][/ROW]
[ROW][C]240[/C][C]0.039[/C][C]0.0171682822342014[/C][C]0.0218317177657986[/C][/ROW]
[ROW][C]241[/C][C]0.05[/C][C]0.0483035185409055[/C][C]0.00169648145909451[/C][/ROW]
[ROW][C]242[/C][C]0.031[/C][C]0.0349672129731432[/C][C]-0.00396721297314317[/C][/ROW]
[ROW][C]243[/C][C]0.026[/C][C]0.0327112114181605[/C][C]-0.00671121141816052[/C][/ROW]
[ROW][C]244[/C][C]0.047[/C][C]0.0547136402367323[/C][C]-0.00771364023673229[/C][/ROW]
[ROW][C]245[/C][C]0.043[/C][C]0.0582905988169026[/C][C]-0.0152905988169026[/C][/ROW]
[ROW][C]246[/C][C]0.038[/C][C]0.0291940310841206[/C][C]0.0088059689158794[/C][/ROW]
[ROW][C]247[/C][C]0.03[/C][C]0.028226477948475[/C][C]0.00177352205152504[/C][/ROW]
[ROW][C]248[/C][C]0.031[/C][C]0.0414771282736805[/C][C]-0.0104771282736805[/C][/ROW]
[ROW][C]249[/C][C]0.03[/C][C]0.0430695867063711[/C][C]-0.0130695867063711[/C][/ROW]
[ROW][C]250[/C][C]0.037[/C][C]0.0353923102736899[/C][C]0.00160768972631005[/C][/ROW]
[ROW][C]251[/C][C]0.053[/C][C]0.0499108037551685[/C][C]0.00308919624483148[/C][/ROW]
[ROW][C]252[/C][C]0.074[/C][C]0.0309906832321793[/C][C]0.0430093167678207[/C][/ROW]
[ROW][C]253[/C][C]0.043[/C][C]0.0582905988169026[/C][C]-0.0152905988169026[/C][/ROW]
[ROW][C]254[/C][C]0.029[/C][C]0.0234130029420165[/C][C]0.00558699705798353[/C][/ROW]
[ROW][C]255[/C][C]0.054[/C][C]0.0668233787701516[/C][C]-0.0128233787701516[/C][/ROW]
[ROW][C]256[/C][C]0.04[/C][C]0.0567444801430011[/C][C]-0.0167444801430011[/C][/ROW]
[ROW][C]257[/C][C]0.035[/C][C]0.0318354447233577[/C][C]0.00316455527664234[/C][/ROW]
[ROW][C]258[/C][C]0.035[/C][C]0.0318354447233577[/C][C]0.00316455527664234[/C][/ROW]
[ROW][C]259[/C][C]0.032[/C][C]0.0395540854641042[/C][C]-0.00755408546410415[/C][/ROW]
[ROW][C]260[/C][C]0.037[/C][C]0.0438341501441633[/C][C]-0.0068341501441633[/C][/ROW]
[ROW][C]261[/C][C]0.048[/C][C]0.0467131047200164[/C][C]0.00128689527998356[/C][/ROW]
[ROW][C]262[/C][C]0.043[/C][C]0.0483680481734873[/C][C]-0.0053680481734873[/C][/ROW]
[ROW][C]263[/C][C]0.036[/C][C]0.0429702024364486[/C][C]-0.00697020243644863[/C][/ROW]
[ROW][C]264[/C][C]0.045[/C][C]0.0529088902280651[/C][C]-0.00790889022806509[/C][/ROW]
[ROW][C]265[/C][C]0.038[/C][C]0.0507821004619126[/C][C]-0.0127821004619126[/C][/ROW]
[ROW][C]266[/C][C]0.043[/C][C]0.0483680481734873[/C][C]-0.0053680481734873[/C][/ROW]
[ROW][C]267[/C][C]0.053[/C][C]0.0493714764782803[/C][C]0.00362852352171971[/C][/ROW]
[ROW][C]268[/C][C]0.043[/C][C]0.0436310955917998[/C][C]-0.00063109559179979[/C][/ROW]
[ROW][C]269[/C][C]0.044[/C][C]0.0428188083758164[/C][C]0.0011811916241836[/C][/ROW]
[ROW][C]270[/C][C]0.045[/C][C]0.0419163742928896[/C][C]0.00308362570711042[/C][/ROW]
[ROW][C]271[/C][C]0.053[/C][C]0.0493714764782803[/C][C]0.00362852352171971[/C][/ROW]
[ROW][C]272[/C][C]0.044[/C][C]0.0438018113311964[/C][C]0.000198188668803584[/C][/ROW]
[ROW][C]273[/C][C]0.051[/C][C]0.0536112898948429[/C][C]-0.00261128989484291[/C][/ROW]
[ROW][C]274[/C][C]0.057[/C][C]0.0580764306072123[/C][C]-0.00107643060721227[/C][/ROW]
[ROW][C]275[/C][C]0.046[/C][C]0.0576619630191[/C][C]-0.0116619630191[/C][/ROW]
[ROW][C]276[/C][C]0.046[/C][C]0.053616665029584[/C][C]-0.00761666502958398[/C][/ROW]
[ROW][C]277[/C][C]0.044[/C][C]0.0506905561606446[/C][C]-0.00669055616064457[/C][/ROW]
[ROW][C]278[/C][C]0.042[/C][C]0.0512980191461069[/C][C]-0.00929801914610694[/C][/ROW]
[ROW][C]279[/C][C]0.044[/C][C]0.0577781254358364[/C][C]-0.0137781254358364[/C][/ROW]
[ROW][C]280[/C][C]0.036[/C][C]0.0180321551737579[/C][C]0.0179678448262421[/C][/ROW]
[ROW][C]281[/C][C]0.034[/C][C]0.0299600295455347[/C][C]0.00403997045446531[/C][/ROW]
[ROW][C]282[/C][C]0.039[/C][C]0.0250983066955623[/C][C]0.0139016933044377[/C][/ROW]
[ROW][C]283[/C][C]0.047[/C][C]0.054919081645491[/C][C]-0.00791908164549102[/C][/ROW]
[ROW][C]284[/C][C]0.054[/C][C]0.0441688349597489[/C][C]0.00983116504025108[/C][/ROW]
[ROW][C]285[/C][C]0.055[/C][C]0.0472245690742326[/C][C]0.00777543092576739[/C][/ROW]
[ROW][C]286[/C][C]0.056[/C][C]0.0639980399708336[/C][C]-0.00799803997083357[/C][/ROW]
[ROW][C]287[/C][C]0.053[/C][C]0.0402378398701425[/C][C]0.0127621601298575[/C][/ROW]
[ROW][C]288[/C][C]0.058[/C][C]0.0539875762780835[/C][C]0.00401242372191648[/C][/ROW]
[ROW][C]289[/C][C]0.058[/C][C]0.0539875762780835[/C][C]0.00401242372191648[/C][/ROW]
[ROW][C]290[/C][C]0.058[/C][C]0.0539875762780835[/C][C]0.00401242372191648[/C][/ROW]
[ROW][C]291[/C][C]0.058[/C][C]0.0539875762780835[/C][C]0.00401242372191648[/C][/ROW]
[ROW][C]292[/C][C]0.041[/C][C]0.0534171716291253[/C][C]-0.0124171716291253[/C][/ROW]
[ROW][C]293[/C][C]0.066[/C][C]0.0521441343184508[/C][C]0.0138558656815492[/C][/ROW]
[ROW][C]294[/C][C]0.041[/C][C]0.0355576220585321[/C][C]0.00544237794146786[/C][/ROW]
[ROW][C]295[/C][C]0.066[/C][C]0.0733062981499232[/C][C]-0.00730629814992319[/C][/ROW]
[ROW][C]296[/C][C]0.046[/C][C]0.0521903936398788[/C][C]-0.00619039363987877[/C][/ROW]
[ROW][C]297[/C][C]0.045[/C][C]0.0474628816571126[/C][C]-0.00246288165711264[/C][/ROW]
[ROW][C]298[/C][C]0.041[/C][C]0.0643872273401539[/C][C]-0.0233872273401539[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=154489&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154489&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	0.045	0.0544578289629795	-0.00945782896297947
2	0.049	0.0581453662365144	-0.00914536623651437
3	0.05	0.0395347897428837	0.0104652102571163
4	0.058	0.0543038516451516	0.0036961483548484
5	0.058	0.0543038516451516	0.00369614835484836
6	0.05	0.0395347897428837	0.0104652102571163
7	0.045	0.0538077972945297	-0.00880779729452967
8	0.045	0.0544578289629781	-0.00945782896297812
9	0.049	0.0581453662365144	-0.00914536623651435
10	0.044	0.0596966658061118	-0.0156966658061118
11	0.033	0.0364665178735266	-0.00346651787352661
12	0.035	0.0415298508653297	-0.00652985086532972
13	0.04	0.0339221361225266	0.00607786387747335
14	0.044	0.0363399995117873	0.00766000048821266
15	0.04	0.0359306929543725	0.00406930704562751
16	0.032	0.0429041506303469	-0.0109041506303469
17	0.046	0.0620365405763308	-0.0160365405763308
18	0.029	0.0317859322737939	-0.00278593227379386
19	0.033	0.0426558922092116	-0.00965589220921161
20	0.044	0.0530155826120284	-0.00901558261202837
21	0.029	0.0317859322737939	-0.00278593227379386
22	0.038	0.0430876653511008	-0.00508766535110081
23	0.049	0.0462912660610735	0.00270873393892654
24	0.074	0.0562536175744573	0.0177463824255427
25	0.052	0.0663811202603933	-0.0143811202603933
26	0.046	0.0481774627551441	-0.00217746275514415
27	0.052	0.0479555491213834	0.00404445087861658
28	0.051	0.0418749114541854	0.00912508854581458
29	0.047	0.0404811424677457	0.00651885753225435
30	0.033	0.0341473072397238	-0.0011473072397238
31	0.044	0.03615825849093	0.00784174150906996
32	0.042	0.0321989531263953	0.00980104687360472
33	0.05	0.0462253112866634	0.00377468871333659
34	0.045	0.0607118032470059	-0.0157118032470059
35	0.044	0.0221019903783809	0.0218980096216191
36	0.08	0.0400808114480768	0.0399191885519232
37	0.051	0.0449893137230778	0.00601068627692219
38	0.053	0.053077803147617	-7.78031476169549e-05
39	0.057	0.0460504208839831	0.0109495791160169
40	0.057	0.0460504208839831	0.0109495791160169
41	0.172	0.0825320412860027	0.0894679587139973
42	0.173	0.081875896135409	0.0911241038645909
43	0.069	0.0529145865289949	0.0160854134710051
44	0.057	0.0579467947240283	-0.000946794724028271
45	0.06	0.055618741111377	0.004381258888623
46	0.058	0.0553677030696118	0.00263229693038817
47	0.063	0.0634271421886454	-0.000427142188645368
48	0.066	0.0620226585834737	0.00397734141652633
49	0.069	0.0529145865289949	0.0160854134710051
50	0.067	0.0514371609074634	0.0155628390925366
51	0.062	0.0396554998586347	0.0223445001413653
52	0.068	0.0388756566335899	0.0291243433664101
53	0.057	0.0397649635058133	0.0172350364941868
54	0.045	0.0524019601638158	-0.0074019601638158
55	0.147	0.0759341866350853	0.0710658133649147
56	0.039	0.0389098417151273	9.01582848727146e-05
57	0.043	0.0379218869156875	0.00507811308431245
58	0.048	0.0554389642030877	-0.00743896420308773
59	0.044	0.0536975271222097	-0.00969752712220971
60	0.038	0.0520853863167284	-0.0140853863167284
61	0.092	0.0675610947475735	0.0244389052524265
62	0.048	0.0554389642030877	-0.00743896420308773
63	0.035	0.0482101851801835	-0.0132101851801835
64	0.044	0.0536975271222097	-0.00969752712220971
65	0.038	0.0573881028666419	-0.0193881028666419
66	0.064	0.0601392803119871	0.00386071968801294
67	0.04	0.0144797589434389	0.0255202410565611
68	0.041	0.073610351350657	-0.032610351350657
69	0.046	0.038915893504539	0.00708410649546103
70	0.05	0.0474059287192684	0.00259407128073158
71	0.056	0.0628828220393771	-0.0068828220393771
72	0.061	0.0619350355993374	-0.000935035599337445
73	0.063	0.04422692541355	0.01877307458645
74	0.054	0.0602052810283394	-0.00620528102833941
75	0.046	0.038915893504539	0.00708410649546103
76	0.05	0.0474059287192684	0.00259407128073158
77	0.043	0.0367102591135876	0.00628974088641244
78	0.042	0.0295378376557913	0.0124621623442087
79	0.064	0.0568786313258627	0.00712136867413731
80	0.06	0.0511721083056739	0.00882789169432607
81	0.053	0.0377732744166688	0.0152267255833312
82	0.05	0.0356381295158829	0.0143618704841171
83	0.063	0.058168247725484	0.00483175227451605
84	0.047	0.049864880345975	-0.00286488034597505
85	0.045	0.0594643323174339	-0.0144643323174339
86	0.044	0.0578569157029681	-0.0138569157029681
87	0.044	0.0643051186042667	-0.0203051186042667
88	0.05	0.0517012579815853	-0.00170125798158527
89	0.045	0.0594643323174339	-0.0144643323174339
90	0.044	0.0578569157029681	-0.0138569157029681
91	0.044	0.0643051186042667	-0.0203051186042667
92	0.049	0.075040057701049	-0.026040057701049
93	0.035	0.0415876220081459	-0.00658762200814594
94	0.034	0.0406533390118043	-0.0066533390118043
95	0.04	0.0506511574061211	-0.0106511574061211
96	0.044	0.0572709229742697	-0.0132709229742697
97	0.046	0.0387157320013579	0.00728426799864208
98	0.034	0.0458632763343125	-0.0118632763343125
99	0.038	0.0298419725326895	0.00815802746731046
100	0.046	0.0387157320013579	0.00728426799864208
101	0.06	0.0552486015354642	0.00475139846453581
102	0.054	0.049165024207575	0.00483497579242498
103	0.05	0.055678161372497	-0.00567816137249697
104	0.059	0.0496923102224024	0.00930768977759755
105	0.06	0.0552486015354642	0.00475139846453581
106	0.051	0.037589746600202	0.013410253399798
107	0.054	0.049165024207575	0.00483497579242498
108	0.04	0.0449199786191208	-0.00491997861912077
109	0.04	0.0449199786191208	-0.00491997861912077
110	0.051	0.0476355508019503	0.00336444919804968
111	0.082	0.0874812094459064	-0.00548120944590641
112	0.052	0.0452331560048745	0.00676684399512547
113	0.056	0.0715306035075999	-0.0155306035075999
114	0.049	0.0519652145217934	-0.00296521452179339
115	0.049	0.0519652145217934	-0.00296521452179339
116	0.065	0.0486534160710306	0.0163465839289694
117	0.041	0.0369597524000498	0.00404024759995021
118	0.035	0.0436641845510475	-0.00866418455104752
119	0.056	0.0715306035075999	-0.0155306035075999
120	0.06	0.0626496980672674	-0.00264969806726737
121	0.046	0.0437737860433191	0.00222621395668089
122	0.054	0.0592180819026076	-0.00521808190260763
123	0.059	0.0490733003203643	0.00992669967963569
124	0.058	0.0515111829374809	0.00648881706251915
125	0.092	0.0681352973217145	0.0238647026782855
126	0.026	0.0553011511417561	-0.0293011511417561
127	0.033	0.0419344930678879	-0.00893449306788791
128	0.038	0.0436055317635773	-0.00560553176357729
129	0.044	0.0511646202084997	-0.00716462020849975
130	0.046	0.0514780678620419	-0.00547806786204187
131	0.02	0.0224101140408299	-0.00241011404082989
132	0.038	0.0436055317635773	-0.00560553176357729
133	0.038	0.0504029094644281	-0.0124029094644281
134	0.035	0.0382309977184198	-0.00323099771841976
135	0.034	0.058030706045959	-0.024030706045959
136	0.036	0.0324819364584176	0.00351806354158237
137	0.027	0.0510397073103923	-0.0240397073103923
138	0.045	0.0637992726647226	-0.0187992726647226
139	0.035	0.0467166365964378	-0.0117166365964378
140	0.029	0.0379515134199956	-0.00895151341999564
141	0.045	0.0517819076438963	-0.00678190764389629
142	0.045	0.0637992726647226	-0.0187992726647226
143	0.039	0.0429580448986005	-0.00395804489860055
144	0.036	0.0418622232596547	-0.00586222325965471
145	0.037	0.0385924409047731	-0.00159244090477312
146	0.04	0.0621872017162253	-0.0221872017162253
147	0.044	0.0661259059020497	-0.0221259059020497
148	0.058	0.0487791804830461	0.00922081951695386
149	0.034	0.0222335454095439	0.0117664545904562
150	0.054	0.0665227043731632	-0.0125227043731632
151	0.043	0.0417765841724401	0.00122341582755989
152	0.055	0.0636183835986376	-0.00861838359863765
153	0.054	0.0665227043731632	-0.0125227043731632
154	0.048	0.0580936618291523	-0.0100936618291523
155	0.049	0.0378563282474684	0.0111436717525316
156	0.066	0.0614079835039887	0.00459201649601132
157	0.066	0.0614079835039887	0.00459201649601132
158	0.036	0.0404091809667046	-0.00440918096670462
159	0.036	0.0429521227587556	-0.00695212275875558
160	0.036	0.0429521227587556	-0.00695212275875558
161	0.036	0.0404091809667046	-0.00440918096670462
162	0.055	0.0612576549462593	-0.0062576549462593
163	0.049	0.0452561436497589	0.00374385635024113
164	0.066	0.0614079835039887	0.00459201649601132
165	0.05	0.0531009440596569	-0.00310094405965685
166	0.051	0.0585584974575504	-0.00755849745755044
167	0.048	0.0512408099335426	-0.00324080993354256
168	0.034	0.0348179107629295	-0.000817910762929482
169	0.055	0.0505447417005393	0.00445525829946069
170	0.034	0.0351107325491892	-0.00111073254918919
171	0.066	0.0445404047741197	0.0214595952258803
172	0.045	0.0433879495311474	0.00161205046885264
173	0.037	0.0358768009009808	0.00112319909901922
174	0.038	0.0389621044310442	-0.000962104431044172
175	0.051	0.0317933659216125	0.0192066340783875
176	0.04	0.0517716346586723	-0.0117716346586723
177	0.044	0.0397403836208584	0.00425961637914156
178	0.054	0.0591855166108175	-0.00518551661081754
179	0.06	0.0640066529990954	-0.00400665299909538
180	0.049	0.0530856180298726	-0.00408561802987257
181	0.048	0.0556122682686477	-0.00761226826864774
182	0.053	0.0784661609325025	-0.0254661609325025
183	0.048	0.0533570311116941	-0.00535703111169413
184	0.05	0.0497304125408788	0.000269587459121191
185	0.043	0.0601398743304175	-0.0171398743304175
186	0.043	0.0628788526664615	-0.0198788526664615
187	0.04	0.0487864427145748	-0.00878644271457478
188	0.038	0.0585326223163392	-0.0205326223163392
189	0.034	0.0204906334238771	0.0135093665761229
190	0.047	0.0659658836429912	-0.0189658836429912
191	0.052	0.0629343507382747	-0.0109343507382747
192	0.048	0.0533570311116941	-0.00535703111169413
193	0.045	0.0437710140467709	0.00122898595322915
194	0.055	0.0484346299862546	0.00656537001374544
195	0.2	0.091843395068309	0.108156604931691
196	0.197	0.0927926423392147	0.104207357660785
197	0.197	0.0937926770256342	0.103207322974366
198	0.052	0.0651459532432994	-0.0131459532432994
199	0.05	0.0543195786768653	-0.0043195786768653
200	0.052	0.0651459532432994	-0.0131459532432994
201	0.049	0.0464957841563818	0.00250421584361823
202	0.05	0.0543195786768653	-0.0043195786768653
203	0.05	0.0438469687584382	0.00615303124156182
204	0.034	0.0158131924382125	0.0181868075617875
205	0.053	0.0572213842854989	-0.00422138428549889
206	0.042	0.0614904138490306	-0.0194904138490306
207	0.045	0.0573862464043492	-0.0123862464043492
208	0.049	0.0529499464291723	-0.00394994642917232
209	0.04	0.0395931748740059	0.000406825125994086
210	0.048	0.0461112653832147	0.0018887346167853
211	0.032	0.0348003774232481	-0.00280037742324805
212	0.038	0.0414406882743254	-0.00344068827432537
213	0.045	0.0573862464043492	-0.0123862464043492
214	0.051	0.0442160070364202	0.00678399296357984
215	0.03	0.0473460483624026	-0.0173460483624026
216	0.044	0.0657468498838521	-0.0217468498838521
217	0.036	0.0601210244967198	-0.0241210244967198
218	0.044	0.0657468498838521	-0.0217468498838521
219	0.044	0.0517988546448162	-0.00779885464481624
220	0.036	0.0583846917302589	-0.0223846917302589
221	0.036	0.0601210244967198	-0.0241210244967198
222	0.07	0.0578523544072453	0.0121476455927547
223	0.03	0.0473460483624026	-0.0173460483624026
224	0.043	0.0586045705058028	-0.0156045705058028
225	0.046	0.0459249177460403	7.50822539596956e-05
226	0.046	0.0379150863965731	0.00808491360342692
227	0.048	0.047764453980781	0.000235546019219038
228	0.041	0.0562062456393295	-0.0152062456393295
229	0.048	0.047764453980781	0.000235546019219038
230	0.046	0.0379150863965731	0.00808491360342692
231	0.062	0.0416218469531975	0.0203781530468025
232	0.041	0.0499401140136569	-0.00894011401365689
233	0.039	0.0561987147869245	-0.0171987147869245
234	0.058	0.0516662572429108	0.00633374275708918
235	0.058	0.0516662572429108	0.00633374275708918
236	0.058	0.0516662572429108	0.00633374275708918
237	0.058	0.0516662572429108	0.00633374275708918
238	0.044	0.0394390961537351	0.00456090384626491
239	0.037	0.0485413038639364	-0.0115413038639364
240	0.039	0.0171682822342014	0.0218317177657986
241	0.05	0.0483035185409055	0.00169648145909451
242	0.031	0.0349672129731432	-0.00396721297314317
243	0.026	0.0327112114181605	-0.00671121141816052
244	0.047	0.0547136402367323	-0.00771364023673229
245	0.043	0.0582905988169026	-0.0152905988169026
246	0.038	0.0291940310841206	0.0088059689158794
247	0.03	0.028226477948475	0.00177352205152504
248	0.031	0.0414771282736805	-0.0104771282736805
249	0.03	0.0430695867063711	-0.0130695867063711
250	0.037	0.0353923102736899	0.00160768972631005
251	0.053	0.0499108037551685	0.00308919624483148
252	0.074	0.0309906832321793	0.0430093167678207
253	0.043	0.0582905988169026	-0.0152905988169026
254	0.029	0.0234130029420165	0.00558699705798353
255	0.054	0.0668233787701516	-0.0128233787701516
256	0.04	0.0567444801430011	-0.0167444801430011
257	0.035	0.0318354447233577	0.00316455527664234
258	0.035	0.0318354447233577	0.00316455527664234
259	0.032	0.0395540854641042	-0.00755408546410415
260	0.037	0.0438341501441633	-0.0068341501441633
261	0.048	0.0467131047200164	0.00128689527998356
262	0.043	0.0483680481734873	-0.0053680481734873
263	0.036	0.0429702024364486	-0.00697020243644863
264	0.045	0.0529088902280651	-0.00790889022806509
265	0.038	0.0507821004619126	-0.0127821004619126
266	0.043	0.0483680481734873	-0.0053680481734873
267	0.053	0.0493714764782803	0.00362852352171971
268	0.043	0.0436310955917998	-0.00063109559179979
269	0.044	0.0428188083758164	0.0011811916241836
270	0.045	0.0419163742928896	0.00308362570711042
271	0.053	0.0493714764782803	0.00362852352171971
272	0.044	0.0438018113311964	0.000198188668803584
273	0.051	0.0536112898948429	-0.00261128989484291
274	0.057	0.0580764306072123	-0.00107643060721227
275	0.046	0.0576619630191	-0.0116619630191
276	0.046	0.053616665029584	-0.00761666502958398
277	0.044	0.0506905561606446	-0.00669055616064457
278	0.042	0.0512980191461069	-0.00929801914610694
279	0.044	0.0577781254358364	-0.0137781254358364
280	0.036	0.0180321551737579	0.0179678448262421
281	0.034	0.0299600295455347	0.00403997045446531
282	0.039	0.0250983066955623	0.0139016933044377
283	0.047	0.054919081645491	-0.00791908164549102
284	0.054	0.0441688349597489	0.00983116504025108
285	0.055	0.0472245690742326	0.00777543092576739
286	0.056	0.0639980399708336	-0.00799803997083357
287	0.053	0.0402378398701425	0.0127621601298575
288	0.058	0.0539875762780835	0.00401242372191648
289	0.058	0.0539875762780835	0.00401242372191648
290	0.058	0.0539875762780835	0.00401242372191648
291	0.058	0.0539875762780835	0.00401242372191648
292	0.041	0.0534171716291253	-0.0124171716291253
293	0.066	0.0521441343184508	0.0138558656815492
294	0.041	0.0355576220585321	0.00544237794146786
295	0.066	0.0733062981499232	-0.00730629814992319
296	0.046	0.0521903936398788	-0.00619039363987877
297	0.045	0.0474628816571126	-0.00246288165711264
298	0.041	0.0643872273401539	-0.0233872273401539

Goldfeld-Quandt test for Heteroskedasticity
p-values	Alternative Hypothesis
breakpoint index	greater	2-sided	less
15	3.09029181298582e-41	6.18058362597164e-41	1
16	1.57535665058165e-57	3.1507133011633e-57	1
17	0.00224909267003155	0.0044981853400631	0.997750907329968
18	0.000668878515770731	0.00133775703154146	0.999331121484229
19	0.000221212174034108	0.000442424348068216	0.999778787825966
20	0.000127016695272448	0.000254033390544895	0.999872983304728
21	3.10579725222789e-05	6.21159450445578e-05	0.999968942027478
22	1.30064144387662e-05	2.60128288775323e-05	0.999986993585561
23	3.70568807797962e-06	7.41137615595924e-06	0.999996294311922
24	0.000188855957293858	0.000377711914587716	0.999811144042706
25	8.80955207467985e-05	0.000176191041493597	0.999911904479253
26	7.1207076300932e-05	0.000142414152601864	0.999928792923699
27	2.86822696164595e-05	5.73645392329189e-05	0.999971317730384
28	1.92603283769088e-05	3.85206567538175e-05	0.999980739671623
29	1.58923630678435e-05	3.17847261356871e-05	0.999984107636932
30	6.14693985859574e-06	1.22938797171915e-05	0.999993853060141
31	2.21077596044433e-06	4.42155192088867e-06	0.99999778922404
32	7.90146069695699e-07	1.5802921393914e-06	0.99999920985393
33	3.87679329110203e-07	7.75358658220407e-07	0.999999612320671
34	2.29175798680202e-07	4.58351597360404e-07	0.999999770824201
35	8.65327830743361e-08	1.73065566148672e-07	0.999999913467217
36	3.24753039693758e-05	6.49506079387516e-05	0.999967524696031
37	1.71925251542327e-05	3.43850503084654e-05	0.999982807474846
38	8.23138449603837e-06	1.64627689920767e-05	0.999991768615504
39	3.85770061276153e-06	7.71540122552306e-06	0.999996142299387
40	1.74451007001579e-06	3.48902014003158e-06	0.99999825548993
41	0.334281654773394	0.668563309546789	0.665718345226606
42	0.777834359793621	0.444331280412758	0.222165640206379
43	0.80003055318679	0.399938893626421	0.199969446813211
44	0.761237826498196	0.477524347003609	0.238762173501804
45	0.721926121167639	0.556147757664723	0.278073878832361
46	0.678843850613172	0.642312298773655	0.321156149386828
47	0.771689105361336	0.456621789277329	0.228310894638664
48	0.747935413140797	0.504129173718406	0.252064586859203
49	0.747109829476205	0.50578034104759	0.252890170523795
50	0.720582831134264	0.558834337731472	0.279417168865736
51	0.713816072577422	0.572367854845156	0.286183927422578
52	0.797435180670848	0.405129638658305	0.202564819329153
53	0.787906954500037	0.424186090999926	0.212093045499963
54	0.839037293426382	0.321925413147237	0.160962706573618
55	0.92994738193087	0.140105236138261	0.0700526180691303
56	0.922949598966055	0.15410080206789	0.0770504010339451
57	0.906096074528453	0.187807850943094	0.093903925471547
58	0.903180038479749	0.193639923040503	0.0968199615202513
59	0.886749764601435	0.22650047079713	0.113250235398565
60	0.934511503971047	0.130976992057906	0.0654884960289531
61	0.93375470588939	0.132490588221221	0.0662452941106103
62	0.926794626603582	0.146410746792836	0.0732053733964179
63	0.921276434456409	0.157447131087183	0.0787235655435913
64	0.906512927356847	0.186974145286306	0.0934870726431529
65	0.921190521087586	0.157618957824827	0.0788094789124137
66	0.914894027205175	0.170211945589651	0.0851059727948254
67	0.943978934086349	0.112042131827302	0.0560210659136511
68	0.985657363940074	0.028685272119852	0.014342636059926
69	0.983963169109385	0.0320736617812304	0.0160368308906152
70	0.979503088171332	0.0409938236573367	0.0204969118286683
71	0.983309814903771	0.0333803701924578	0.0166901850962289
72	0.978897519678393	0.0422049606432136	0.0211024803216068
73	0.98496027163452	0.0300794567309593	0.0150397283654797
74	0.983137658419714	0.0337246831605723	0.0168623415802862
75	0.980296871507445	0.039406256985109	0.0197031284925545
76	0.975164521946186	0.0496709561076283	0.0248354780538141
77	0.969575472643606	0.0608490547127873	0.0304245273563936
78	0.967669451110705	0.0646610977785905	0.0323305488892952
79	0.960481275479594	0.0790374490408118	0.0395187245204059
80	0.953818173646591	0.0923636527068179	0.0461818263534089
81	0.950604295879899	0.0987914082402011	0.0493957041201006
82	0.944391629221351	0.111216741557298	0.055608370778649
83	0.933493871627805	0.133012256744391	0.0665061283721953
84	0.920702224532344	0.158595550935311	0.0792977754676557
85	0.942180124932896	0.115639750134207	0.0578198750671037
86	0.946549978606472	0.106900042787055	0.0534500213935275
87	0.956720560175341	0.0865588796493179	0.0432794398246589
88	0.948259608964323	0.103480782071353	0.0517403910356767
89	0.947650774569656	0.104698450860687	0.0523492254303436
90	0.943649644155674	0.112700711688652	0.0563503558443262
91	0.947738998370405	0.104522003259191	0.0522610016295954
92	0.964593516565222	0.0708129668695557	0.0354064834347778
93	0.961559730229794	0.0768805395404114	0.0384402697702057
94	0.957792426312174	0.084415147375652	0.042207573687826
95	0.954568030692075	0.0908639386158507	0.0454319693079253
96	0.949749963184491	0.100500073631018	0.050250036815509
97	0.94009524692116	0.11980950615768	0.0599047530788398
98	0.933496722452339	0.133006555095322	0.066503277547661
99	0.923883588437359	0.152232823125283	0.0761164115626413
100	0.910612811476447	0.178774377047105	0.0893871885235526
101	0.895776686376782	0.208446627246435	0.104223313623218
102	0.879873013009081	0.240253973981839	0.120126986990919
103	0.86528776062777	0.26942447874446	0.13471223937223
104	0.850615757951589	0.298768484096822	0.149384242048411
105	0.829731641021938	0.340536717956124	0.170268358978062
106	0.817323245572982	0.365353508854035	0.182676754427018
107	0.795389774939439	0.409220450121121	0.204610225060561
108	0.770127658816423	0.459744682367154	0.229872341183577
109	0.74323374751481	0.513532504970381	0.25676625248519
110	0.71508457198388	0.56983085603224	0.28491542801612
111	0.696285684761557	0.607428630476886	0.303714315238443
112	0.667709043301179	0.664581913397641	0.332290956698821
113	0.659722380358017	0.680555239283966	0.340277619641983
114	0.627482384296313	0.745035231407374	0.372517615703687
115	0.594356079672099	0.811287840655802	0.405643920327901
116	0.585797261869225	0.828405476261551	0.414202738130775
117	0.553921584831984	0.892156830336031	0.446078415168016
118	0.545500211103094	0.908999577793812	0.454499788896906
119	0.535022346935569	0.929955306128861	0.464977653064431
120	0.500996315443662	0.998007369112677	0.499003684556338
121	0.466987133251018	0.933974266502035	0.533012866748982
122	0.433734340321691	0.867468680643382	0.566265659678309
123	0.411558238443297	0.823116476886594	0.588441761556703
124	0.38765534362935	0.775310687258701	0.612344656370649
125	0.404213461236776	0.808426922473551	0.595786538763224
126	0.471462476099439	0.942924952198878	0.528537523900561
127	0.444279534612475	0.888559069224951	0.555720465387525
128	0.413367375404962	0.826734750809924	0.586632624595038
129	0.388041273493001	0.776082546986001	0.611958726506999
130	0.361689338281773	0.723378676563545	0.638310661718227
131	0.338293872806324	0.676587745612648	0.661706127193676
132	0.309665427722545	0.619330855445091	0.690334572277455
133	0.293801905596237	0.587603811192473	0.706198094403763
134	0.265682137214148	0.531364274428296	0.734317862785852
135	0.283345770953011	0.566691541906022	0.716654229046989
136	0.256120558832948	0.512241117665897	0.743879441167052
137	0.279003210885414	0.558006421770827	0.720996789114586
138	0.286647060864927	0.573294121729854	0.713352939135073
139	0.272237942652108	0.544475885304216	0.727762057347892
140	0.250199176033256	0.500398352066513	0.749800823966744
141	0.230564572609408	0.461129145218815	0.769435427390592
142	0.239173997908389	0.478347995816777	0.760826002091611
143	0.214386220045698	0.428772440091395	0.785613779954302
144	0.191951962693086	0.383903925386171	0.808048037306914
145	0.170284884089363	0.340569768178727	0.829715115910637
146	0.186142746321628	0.372285492643256	0.813857253678372
147	0.201329857936513	0.402659715873026	0.798670142063487
148	0.184384788749377	0.368769577498755	0.815615211250623
149	0.170754388925545	0.341508777851089	0.829245611074455
150	0.158621517646868	0.317243035293736	0.841378482353132
151	0.139049096192371	0.278098192384742	0.860950903807629
152	0.124125748243012	0.248251496486023	0.875874251756988
153	0.11382958872258	0.227659177445161	0.886170411277419
154	0.103162835235979	0.206325670471958	0.896837164764021
155	0.0971529824693784	0.194305964938757	0.902847017530622
156	0.0844818105134607	0.168963621026921	0.915518189486539
157	0.0730298546422266	0.146059709284453	0.926970145357773
158	0.0624330568407546	0.124866113681509	0.937566943159245
159	0.0539942128010221	0.107988425602044	0.946005787198978
160	0.0468021394496059	0.0936042788992119	0.953197860550394
161	0.0395319906015303	0.0790639812030606	0.96046800939847
162	0.0337399733909743	0.0674799467819485	0.966260026609026
163	0.0282163419538941	0.0564326839077881	0.971783658046106
164	0.0235355529923171	0.0470711059846343	0.976464447007683
165	0.0194451058382493	0.0388902116764987	0.980554894161751
166	0.0166897149026764	0.0333794298053528	0.983310285097324
167	0.0135240246462272	0.0270480492924544	0.986475975353773
168	0.0109043659258737	0.0218087318517475	0.989095634074126
169	0.00929768718264764	0.0185953743652953	0.990702312817352
170	0.00741111568333539	0.0148222313666708	0.992588884316665
171	0.00840680874254173	0.0168136174850835	0.991593191257458
172	0.00685672292647297	0.0137134458529459	0.993143277073527
173	0.00538511097452403	0.0107702219490481	0.994614889025476
174	0.00423932366726815	0.00847864733453629	0.995760676332732
175	0.00496141029913085	0.00992282059826171	0.995038589700869
176	0.00449157194044166	0.00898314388088332	0.995508428059558
177	0.00352660108825121	0.00705320217650242	0.996473398911749
178	0.00281047923401442	0.00562095846802883	0.997189520765986
179	0.00217370150185292	0.00434740300370584	0.997826298498147
180	0.00166546802496826	0.00333093604993651	0.998334531975032
181	0.00129355342866449	0.00258710685732898	0.998706446571336
182	0.00168686233995166	0.00337372467990332	0.998313137660048
183	0.00128453217839647	0.00256906435679295	0.998715467821603
184	0.000967994803988767	0.00193598960797753	0.999032005196011
185	0.00102927677502832	0.00205855355005664	0.998970723224972
186	0.00129634152847784	0.00259268305695568	0.998703658471522
187	0.00107108193291116	0.00214216386582231	0.998928918067089
188	0.00117530401873518	0.00235060803747037	0.998824695981265
189	0.00100063061685742	0.00200126123371484	0.998999369383143
190	0.0011156122930476	0.0022312245860952	0.998884387706952
191	0.000959152960321139	0.00191830592064228	0.999040847039679
192	0.000740705994253496	0.00148141198850699	0.999259294005747
193	0.000546972653044673	0.00109394530608935	0.999453027346955
194	0.000418416342608557	0.000836832685217114	0.999581583657391
195	0.273769424626094	0.547538849252188	0.726230575373906
196	0.99482633925415	0.0103473214916993	0.00517366074584966
197	1	8.68749266280232e-26	4.34374633140116e-26
198	1	2.39211187663035e-25	1.19605593831517e-25
199	1	5.61643851653617e-25	2.80821925826808e-25
200	1	1.51948615682823e-24	7.59743078414115e-25
201	1	4.36147034868841e-24	2.18073517434421e-24
202	1	9.61037101116934e-24	4.80518550558467e-24
203	1	2.57793518627746e-23	1.28896759313873e-23
204	1	6.17054502012692e-23	3.08527251006346e-23
205	1	4.07095109190513e-23	2.03547554595256e-23
206	1	7.33017618488031e-23	3.66508809244016e-23
207	1	1.97461017757263e-22	9.87305088786315e-23
208	1	5.94814072450485e-22	2.97407036225242e-22
209	1	1.53700970728273e-21	7.68504853641367e-22
210	1	4.59141208937753e-21	2.29570604468876e-21
211	1	1.26047372993236e-20	6.30236864966178e-21
212	1	3.54465589255659e-20	1.7723279462783e-20
213	1	9.24464733956258e-20	4.62232366978129e-20
214	1	1.15253463106894e-19	5.7626731553447e-20
215	1	2.31621498656194e-19	1.15810749328097e-19
216	1	5.22871649961901e-19	2.61435824980951e-19
217	1	7.29680141416086e-19	3.64840070708043e-19
218	1	1.66232834266442e-18	8.31164171332208e-19
219	1	4.25804233523136e-18	2.12902116761568e-18
220	1	5.45813300822485e-18	2.72906650411243e-18
221	1	3.92017686219893e-18	1.96008843109946e-18
222	1	1.63382874023256e-18	8.16914370116278e-19
223	1	2.60267250100253e-18	1.30133625050126e-18
224	1	6.62759786015164e-18	3.31379893007582e-18
225	1	1.70581562117071e-17	8.52907810585353e-18
226	1	4.34420474426336e-17	2.17210237213168e-17
227	1	1.16954234534077e-16	5.84771172670386e-17
228	1	2.48320447030166e-17	1.24160223515083e-17
229	1	7.29749004935591e-17	3.64874502467796e-17
230	1	1.8895972646701e-16	9.44798632335052e-17
231	1	1.62179612710261e-16	8.10898063551304e-17
232	1	2.11591543313303e-16	1.05795771656651e-16
233	1	2.86463020676924e-17	1.43231510338462e-17
234	1	7.76694316002199e-17	3.88347158001099e-17
235	1	2.04420066886044e-16	1.02210033443022e-16
236	1	5.19390113282623e-16	2.59695056641311e-16
237	0.999999999999999	1.26441748881228e-15	6.32208744406138e-16
238	0.999999999999999	2.14339231290025e-15	1.07169615645012e-15
239	0.999999999999997	6.5010856941866e-15	3.2505428470933e-15
240	0.999999999999992	1.57194643891712e-14	7.8597321945856e-15
241	0.999999999999987	2.52162549042123e-14	1.26081274521061e-14
242	0.999999999999996	7.31100865429035e-15	3.65550432714518e-15
243	0.999999999999998	4.00347042158485e-15	2.00173521079242e-15
244	0.999999999999996	8.09289192181397e-15	4.04644596090698e-15
245	0.999999999999991	1.88294412555484e-14	9.41472062777418e-15
246	0.999999999999968	6.30674887453963e-14	3.15337443726981e-14
247	0.999999999999939	1.2121541074451e-13	6.0607705372255e-14
248	0.999999999999837	3.26238672202675e-13	1.63119336101338e-13
249	0.999999999999597	8.05538866215505e-13	4.02769433107752e-13
250	0.999999999999464	1.07163149143695e-12	5.35815745718476e-13
251	0.999999999999723	5.53083795586192e-13	2.76541897793096e-13
252	0.99999999999988	2.40936508021292e-13	1.20468254010646e-13
253	0.999999999999848	3.04793062761925e-13	1.52396531380963e-13
254	0.999999999999442	1.11634523831157e-12	5.58172619155783e-13
255	0.999999999999675	6.50425625781753e-13	3.25212812890877e-13
256	0.99999999999941	1.17938120723579e-12	5.89690603617893e-13
257	0.999999999998304	3.39164645483032e-12	1.69582322741516e-12
258	0.99999999999589	8.22099337372571e-12	4.11049668686285e-12
259	0.999999999985974	2.80528070739794e-11	1.40264035369897e-11
260	0.99999999995789	8.42193048016451e-11	4.21096524008225e-11
261	0.999999999856754	2.86492574178712e-10	1.43246287089356e-10
262	0.999999999853647	2.92705604164984e-10	1.46352802082492e-10
263	0.99999999993687	1.26258954741946e-10	6.31294773709729e-11
264	0.999999999919215	1.61570103165978e-10	8.07850515829892e-11
265	0.999999999709866	5.80267299258492e-10	2.90133649629246e-10
266	0.999999999988688	2.26247905440093e-11	1.13123952720046e-11
267	0.999999999945336	1.09327597132387e-10	5.46637985661934e-11
268	0.99999999976409	4.71820855343989e-10	2.35910427671995e-10
269	0.99999999910232	1.79536107617048e-09	8.97680538085239e-10
270	0.9999999968603	6.27939913036907e-09	3.13969956518453e-09
271	0.999999985740022	2.85199567240387e-08	1.42599783620194e-08
272	0.999999984499303	3.10013942297869e-08	1.55006971148935e-08
273	0.999999926503567	1.46992866549588e-07	7.34964332747938e-08
274	0.999999911958689	1.76082622722247e-07	8.80413113611234e-08
275	0.999999520524865	9.58950270827615e-07	4.79475135413808e-07
276	0.999997650978022	4.69804395602156e-06	2.34902197801078e-06
277	0.999987936372338	2.4127255324913e-05	1.20636276624565e-05
278	0.999944180851789	0.000111638296421389	5.58191482106944e-05
279	0.999905940731056	0.000188118537887494	9.4059268943747e-05
280	0.999991637423886	1.6725152228233e-05	8.36257611411648e-06
281	0.999929153076688	0.000141693846624922	7.08469233124612e-05
282	0.999390533341907	0.00121893331618579	0.000609466658092897
283	1	1.67463245758328e-46	8.3731622879164e-47

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
15 & 3.09029181298582e-41 & 6.18058362597164e-41 & 1 \tabularnewline
16 & 1.57535665058165e-57 & 3.1507133011633e-57 & 1 \tabularnewline
17 & 0.00224909267003155 & 0.0044981853400631 & 0.997750907329968 \tabularnewline
18 & 0.000668878515770731 & 0.00133775703154146 & 0.999331121484229 \tabularnewline
19 & 0.000221212174034108 & 0.000442424348068216 & 0.999778787825966 \tabularnewline
20 & 0.000127016695272448 & 0.000254033390544895 & 0.999872983304728 \tabularnewline
21 & 3.10579725222789e-05 & 6.21159450445578e-05 & 0.999968942027478 \tabularnewline
22 & 1.30064144387662e-05 & 2.60128288775323e-05 & 0.999986993585561 \tabularnewline
23 & 3.70568807797962e-06 & 7.41137615595924e-06 & 0.999996294311922 \tabularnewline
24 & 0.000188855957293858 & 0.000377711914587716 & 0.999811144042706 \tabularnewline
25 & 8.80955207467985e-05 & 0.000176191041493597 & 0.999911904479253 \tabularnewline
26 & 7.1207076300932e-05 & 0.000142414152601864 & 0.999928792923699 \tabularnewline
27 & 2.86822696164595e-05 & 5.73645392329189e-05 & 0.999971317730384 \tabularnewline
28 & 1.92603283769088e-05 & 3.85206567538175e-05 & 0.999980739671623 \tabularnewline
29 & 1.58923630678435e-05 & 3.17847261356871e-05 & 0.999984107636932 \tabularnewline
30 & 6.14693985859574e-06 & 1.22938797171915e-05 & 0.999993853060141 \tabularnewline
31 & 2.21077596044433e-06 & 4.42155192088867e-06 & 0.99999778922404 \tabularnewline
32 & 7.90146069695699e-07 & 1.5802921393914e-06 & 0.99999920985393 \tabularnewline
33 & 3.87679329110203e-07 & 7.75358658220407e-07 & 0.999999612320671 \tabularnewline
34 & 2.29175798680202e-07 & 4.58351597360404e-07 & 0.999999770824201 \tabularnewline
35 & 8.65327830743361e-08 & 1.73065566148672e-07 & 0.999999913467217 \tabularnewline
36 & 3.24753039693758e-05 & 6.49506079387516e-05 & 0.999967524696031 \tabularnewline
37 & 1.71925251542327e-05 & 3.43850503084654e-05 & 0.999982807474846 \tabularnewline
38 & 8.23138449603837e-06 & 1.64627689920767e-05 & 0.999991768615504 \tabularnewline
39 & 3.85770061276153e-06 & 7.71540122552306e-06 & 0.999996142299387 \tabularnewline
40 & 1.74451007001579e-06 & 3.48902014003158e-06 & 0.99999825548993 \tabularnewline
41 & 0.334281654773394 & 0.668563309546789 & 0.665718345226606 \tabularnewline
42 & 0.777834359793621 & 0.444331280412758 & 0.222165640206379 \tabularnewline
43 & 0.80003055318679 & 0.399938893626421 & 0.199969446813211 \tabularnewline
44 & 0.761237826498196 & 0.477524347003609 & 0.238762173501804 \tabularnewline
45 & 0.721926121167639 & 0.556147757664723 & 0.278073878832361 \tabularnewline
46 & 0.678843850613172 & 0.642312298773655 & 0.321156149386828 \tabularnewline
47 & 0.771689105361336 & 0.456621789277329 & 0.228310894638664 \tabularnewline
48 & 0.747935413140797 & 0.504129173718406 & 0.252064586859203 \tabularnewline
49 & 0.747109829476205 & 0.50578034104759 & 0.252890170523795 \tabularnewline
50 & 0.720582831134264 & 0.558834337731472 & 0.279417168865736 \tabularnewline
51 & 0.713816072577422 & 0.572367854845156 & 0.286183927422578 \tabularnewline
52 & 0.797435180670848 & 0.405129638658305 & 0.202564819329153 \tabularnewline
53 & 0.787906954500037 & 0.424186090999926 & 0.212093045499963 \tabularnewline
54 & 0.839037293426382 & 0.321925413147237 & 0.160962706573618 \tabularnewline
55 & 0.92994738193087 & 0.140105236138261 & 0.0700526180691303 \tabularnewline
56 & 0.922949598966055 & 0.15410080206789 & 0.0770504010339451 \tabularnewline
57 & 0.906096074528453 & 0.187807850943094 & 0.093903925471547 \tabularnewline
58 & 0.903180038479749 & 0.193639923040503 & 0.0968199615202513 \tabularnewline
59 & 0.886749764601435 & 0.22650047079713 & 0.113250235398565 \tabularnewline
60 & 0.934511503971047 & 0.130976992057906 & 0.0654884960289531 \tabularnewline
61 & 0.93375470588939 & 0.132490588221221 & 0.0662452941106103 \tabularnewline
62 & 0.926794626603582 & 0.146410746792836 & 0.0732053733964179 \tabularnewline
63 & 0.921276434456409 & 0.157447131087183 & 0.0787235655435913 \tabularnewline
64 & 0.906512927356847 & 0.186974145286306 & 0.0934870726431529 \tabularnewline
65 & 0.921190521087586 & 0.157618957824827 & 0.0788094789124137 \tabularnewline
66 & 0.914894027205175 & 0.170211945589651 & 0.0851059727948254 \tabularnewline
67 & 0.943978934086349 & 0.112042131827302 & 0.0560210659136511 \tabularnewline
68 & 0.985657363940074 & 0.028685272119852 & 0.014342636059926 \tabularnewline
69 & 0.983963169109385 & 0.0320736617812304 & 0.0160368308906152 \tabularnewline
70 & 0.979503088171332 & 0.0409938236573367 & 0.0204969118286683 \tabularnewline
71 & 0.983309814903771 & 0.0333803701924578 & 0.0166901850962289 \tabularnewline
72 & 0.978897519678393 & 0.0422049606432136 & 0.0211024803216068 \tabularnewline
73 & 0.98496027163452 & 0.0300794567309593 & 0.0150397283654797 \tabularnewline
74 & 0.983137658419714 & 0.0337246831605723 & 0.0168623415802862 \tabularnewline
75 & 0.980296871507445 & 0.039406256985109 & 0.0197031284925545 \tabularnewline
76 & 0.975164521946186 & 0.0496709561076283 & 0.0248354780538141 \tabularnewline
77 & 0.969575472643606 & 0.0608490547127873 & 0.0304245273563936 \tabularnewline
78 & 0.967669451110705 & 0.0646610977785905 & 0.0323305488892952 \tabularnewline
79 & 0.960481275479594 & 0.0790374490408118 & 0.0395187245204059 \tabularnewline
80 & 0.953818173646591 & 0.0923636527068179 & 0.0461818263534089 \tabularnewline
81 & 0.950604295879899 & 0.0987914082402011 & 0.0493957041201006 \tabularnewline
82 & 0.944391629221351 & 0.111216741557298 & 0.055608370778649 \tabularnewline
83 & 0.933493871627805 & 0.133012256744391 & 0.0665061283721953 \tabularnewline
84 & 0.920702224532344 & 0.158595550935311 & 0.0792977754676557 \tabularnewline
85 & 0.942180124932896 & 0.115639750134207 & 0.0578198750671037 \tabularnewline
86 & 0.946549978606472 & 0.106900042787055 & 0.0534500213935275 \tabularnewline
87 & 0.956720560175341 & 0.0865588796493179 & 0.0432794398246589 \tabularnewline
88 & 0.948259608964323 & 0.103480782071353 & 0.0517403910356767 \tabularnewline
89 & 0.947650774569656 & 0.104698450860687 & 0.0523492254303436 \tabularnewline
90 & 0.943649644155674 & 0.112700711688652 & 0.0563503558443262 \tabularnewline
91 & 0.947738998370405 & 0.104522003259191 & 0.0522610016295954 \tabularnewline
92 & 0.964593516565222 & 0.0708129668695557 & 0.0354064834347778 \tabularnewline
93 & 0.961559730229794 & 0.0768805395404114 & 0.0384402697702057 \tabularnewline
94 & 0.957792426312174 & 0.084415147375652 & 0.042207573687826 \tabularnewline
95 & 0.954568030692075 & 0.0908639386158507 & 0.0454319693079253 \tabularnewline
96 & 0.949749963184491 & 0.100500073631018 & 0.050250036815509 \tabularnewline
97 & 0.94009524692116 & 0.11980950615768 & 0.0599047530788398 \tabularnewline
98 & 0.933496722452339 & 0.133006555095322 & 0.066503277547661 \tabularnewline
99 & 0.923883588437359 & 0.152232823125283 & 0.0761164115626413 \tabularnewline
100 & 0.910612811476447 & 0.178774377047105 & 0.0893871885235526 \tabularnewline
101 & 0.895776686376782 & 0.208446627246435 & 0.104223313623218 \tabularnewline
102 & 0.879873013009081 & 0.240253973981839 & 0.120126986990919 \tabularnewline
103 & 0.86528776062777 & 0.26942447874446 & 0.13471223937223 \tabularnewline
104 & 0.850615757951589 & 0.298768484096822 & 0.149384242048411 \tabularnewline
105 & 0.829731641021938 & 0.340536717956124 & 0.170268358978062 \tabularnewline
106 & 0.817323245572982 & 0.365353508854035 & 0.182676754427018 \tabularnewline
107 & 0.795389774939439 & 0.409220450121121 & 0.204610225060561 \tabularnewline
108 & 0.770127658816423 & 0.459744682367154 & 0.229872341183577 \tabularnewline
109 & 0.74323374751481 & 0.513532504970381 & 0.25676625248519 \tabularnewline
110 & 0.71508457198388 & 0.56983085603224 & 0.28491542801612 \tabularnewline
111 & 0.696285684761557 & 0.607428630476886 & 0.303714315238443 \tabularnewline
112 & 0.667709043301179 & 0.664581913397641 & 0.332290956698821 \tabularnewline
113 & 0.659722380358017 & 0.680555239283966 & 0.340277619641983 \tabularnewline
114 & 0.627482384296313 & 0.745035231407374 & 0.372517615703687 \tabularnewline
115 & 0.594356079672099 & 0.811287840655802 & 0.405643920327901 \tabularnewline
116 & 0.585797261869225 & 0.828405476261551 & 0.414202738130775 \tabularnewline
117 & 0.553921584831984 & 0.892156830336031 & 0.446078415168016 \tabularnewline
118 & 0.545500211103094 & 0.908999577793812 & 0.454499788896906 \tabularnewline
119 & 0.535022346935569 & 0.929955306128861 & 0.464977653064431 \tabularnewline
120 & 0.500996315443662 & 0.998007369112677 & 0.499003684556338 \tabularnewline
121 & 0.466987133251018 & 0.933974266502035 & 0.533012866748982 \tabularnewline
122 & 0.433734340321691 & 0.867468680643382 & 0.566265659678309 \tabularnewline
123 & 0.411558238443297 & 0.823116476886594 & 0.588441761556703 \tabularnewline
124 & 0.38765534362935 & 0.775310687258701 & 0.612344656370649 \tabularnewline
125 & 0.404213461236776 & 0.808426922473551 & 0.595786538763224 \tabularnewline
126 & 0.471462476099439 & 0.942924952198878 & 0.528537523900561 \tabularnewline
127 & 0.444279534612475 & 0.888559069224951 & 0.555720465387525 \tabularnewline
128 & 0.413367375404962 & 0.826734750809924 & 0.586632624595038 \tabularnewline
129 & 0.388041273493001 & 0.776082546986001 & 0.611958726506999 \tabularnewline
130 & 0.361689338281773 & 0.723378676563545 & 0.638310661718227 \tabularnewline
131 & 0.338293872806324 & 0.676587745612648 & 0.661706127193676 \tabularnewline
132 & 0.309665427722545 & 0.619330855445091 & 0.690334572277455 \tabularnewline
133 & 0.293801905596237 & 0.587603811192473 & 0.706198094403763 \tabularnewline
134 & 0.265682137214148 & 0.531364274428296 & 0.734317862785852 \tabularnewline
135 & 0.283345770953011 & 0.566691541906022 & 0.716654229046989 \tabularnewline
136 & 0.256120558832948 & 0.512241117665897 & 0.743879441167052 \tabularnewline
137 & 0.279003210885414 & 0.558006421770827 & 0.720996789114586 \tabularnewline
138 & 0.286647060864927 & 0.573294121729854 & 0.713352939135073 \tabularnewline
139 & 0.272237942652108 & 0.544475885304216 & 0.727762057347892 \tabularnewline
140 & 0.250199176033256 & 0.500398352066513 & 0.749800823966744 \tabularnewline
141 & 0.230564572609408 & 0.461129145218815 & 0.769435427390592 \tabularnewline
142 & 0.239173997908389 & 0.478347995816777 & 0.760826002091611 \tabularnewline
143 & 0.214386220045698 & 0.428772440091395 & 0.785613779954302 \tabularnewline
144 & 0.191951962693086 & 0.383903925386171 & 0.808048037306914 \tabularnewline
145 & 0.170284884089363 & 0.340569768178727 & 0.829715115910637 \tabularnewline
146 & 0.186142746321628 & 0.372285492643256 & 0.813857253678372 \tabularnewline
147 & 0.201329857936513 & 0.402659715873026 & 0.798670142063487 \tabularnewline
148 & 0.184384788749377 & 0.368769577498755 & 0.815615211250623 \tabularnewline
149 & 0.170754388925545 & 0.341508777851089 & 0.829245611074455 \tabularnewline
150 & 0.158621517646868 & 0.317243035293736 & 0.841378482353132 \tabularnewline
151 & 0.139049096192371 & 0.278098192384742 & 0.860950903807629 \tabularnewline
152 & 0.124125748243012 & 0.248251496486023 & 0.875874251756988 \tabularnewline
153 & 0.11382958872258 & 0.227659177445161 & 0.886170411277419 \tabularnewline
154 & 0.103162835235979 & 0.206325670471958 & 0.896837164764021 \tabularnewline
155 & 0.0971529824693784 & 0.194305964938757 & 0.902847017530622 \tabularnewline
156 & 0.0844818105134607 & 0.168963621026921 & 0.915518189486539 \tabularnewline
157 & 0.0730298546422266 & 0.146059709284453 & 0.926970145357773 \tabularnewline
158 & 0.0624330568407546 & 0.124866113681509 & 0.937566943159245 \tabularnewline
159 & 0.0539942128010221 & 0.107988425602044 & 0.946005787198978 \tabularnewline
160 & 0.0468021394496059 & 0.0936042788992119 & 0.953197860550394 \tabularnewline
161 & 0.0395319906015303 & 0.0790639812030606 & 0.96046800939847 \tabularnewline
162 & 0.0337399733909743 & 0.0674799467819485 & 0.966260026609026 \tabularnewline
163 & 0.0282163419538941 & 0.0564326839077881 & 0.971783658046106 \tabularnewline
164 & 0.0235355529923171 & 0.0470711059846343 & 0.976464447007683 \tabularnewline
165 & 0.0194451058382493 & 0.0388902116764987 & 0.980554894161751 \tabularnewline
166 & 0.0166897149026764 & 0.0333794298053528 & 0.983310285097324 \tabularnewline
167 & 0.0135240246462272 & 0.0270480492924544 & 0.986475975353773 \tabularnewline
168 & 0.0109043659258737 & 0.0218087318517475 & 0.989095634074126 \tabularnewline
169 & 0.00929768718264764 & 0.0185953743652953 & 0.990702312817352 \tabularnewline
170 & 0.00741111568333539 & 0.0148222313666708 & 0.992588884316665 \tabularnewline
171 & 0.00840680874254173 & 0.0168136174850835 & 0.991593191257458 \tabularnewline
172 & 0.00685672292647297 & 0.0137134458529459 & 0.993143277073527 \tabularnewline
173 & 0.00538511097452403 & 0.0107702219490481 & 0.994614889025476 \tabularnewline
174 & 0.00423932366726815 & 0.00847864733453629 & 0.995760676332732 \tabularnewline
175 & 0.00496141029913085 & 0.00992282059826171 & 0.995038589700869 \tabularnewline
176 & 0.00449157194044166 & 0.00898314388088332 & 0.995508428059558 \tabularnewline
177 & 0.00352660108825121 & 0.00705320217650242 & 0.996473398911749 \tabularnewline
178 & 0.00281047923401442 & 0.00562095846802883 & 0.997189520765986 \tabularnewline
179 & 0.00217370150185292 & 0.00434740300370584 & 0.997826298498147 \tabularnewline
180 & 0.00166546802496826 & 0.00333093604993651 & 0.998334531975032 \tabularnewline
181 & 0.00129355342866449 & 0.00258710685732898 & 0.998706446571336 \tabularnewline
182 & 0.00168686233995166 & 0.00337372467990332 & 0.998313137660048 \tabularnewline
183 & 0.00128453217839647 & 0.00256906435679295 & 0.998715467821603 \tabularnewline
184 & 0.000967994803988767 & 0.00193598960797753 & 0.999032005196011 \tabularnewline
185 & 0.00102927677502832 & 0.00205855355005664 & 0.998970723224972 \tabularnewline
186 & 0.00129634152847784 & 0.00259268305695568 & 0.998703658471522 \tabularnewline
187 & 0.00107108193291116 & 0.00214216386582231 & 0.998928918067089 \tabularnewline
188 & 0.00117530401873518 & 0.00235060803747037 & 0.998824695981265 \tabularnewline
189 & 0.00100063061685742 & 0.00200126123371484 & 0.998999369383143 \tabularnewline
190 & 0.0011156122930476 & 0.0022312245860952 & 0.998884387706952 \tabularnewline
191 & 0.000959152960321139 & 0.00191830592064228 & 0.999040847039679 \tabularnewline
192 & 0.000740705994253496 & 0.00148141198850699 & 0.999259294005747 \tabularnewline
193 & 0.000546972653044673 & 0.00109394530608935 & 0.999453027346955 \tabularnewline
194 & 0.000418416342608557 & 0.000836832685217114 & 0.999581583657391 \tabularnewline
195 & 0.273769424626094 & 0.547538849252188 & 0.726230575373906 \tabularnewline
196 & 0.99482633925415 & 0.0103473214916993 & 0.00517366074584966 \tabularnewline
197 & 1 & 8.68749266280232e-26 & 4.34374633140116e-26 \tabularnewline
198 & 1 & 2.39211187663035e-25 & 1.19605593831517e-25 \tabularnewline
199 & 1 & 5.61643851653617e-25 & 2.80821925826808e-25 \tabularnewline
200 & 1 & 1.51948615682823e-24 & 7.59743078414115e-25 \tabularnewline
201 & 1 & 4.36147034868841e-24 & 2.18073517434421e-24 \tabularnewline
202 & 1 & 9.61037101116934e-24 & 4.80518550558467e-24 \tabularnewline
203 & 1 & 2.57793518627746e-23 & 1.28896759313873e-23 \tabularnewline
204 & 1 & 6.17054502012692e-23 & 3.08527251006346e-23 \tabularnewline
205 & 1 & 4.07095109190513e-23 & 2.03547554595256e-23 \tabularnewline
206 & 1 & 7.33017618488031e-23 & 3.66508809244016e-23 \tabularnewline
207 & 1 & 1.97461017757263e-22 & 9.87305088786315e-23 \tabularnewline
208 & 1 & 5.94814072450485e-22 & 2.97407036225242e-22 \tabularnewline
209 & 1 & 1.53700970728273e-21 & 7.68504853641367e-22 \tabularnewline
210 & 1 & 4.59141208937753e-21 & 2.29570604468876e-21 \tabularnewline
211 & 1 & 1.26047372993236e-20 & 6.30236864966178e-21 \tabularnewline
212 & 1 & 3.54465589255659e-20 & 1.7723279462783e-20 \tabularnewline
213 & 1 & 9.24464733956258e-20 & 4.62232366978129e-20 \tabularnewline
214 & 1 & 1.15253463106894e-19 & 5.7626731553447e-20 \tabularnewline
215 & 1 & 2.31621498656194e-19 & 1.15810749328097e-19 \tabularnewline
216 & 1 & 5.22871649961901e-19 & 2.61435824980951e-19 \tabularnewline
217 & 1 & 7.29680141416086e-19 & 3.64840070708043e-19 \tabularnewline
218 & 1 & 1.66232834266442e-18 & 8.31164171332208e-19 \tabularnewline
219 & 1 & 4.25804233523136e-18 & 2.12902116761568e-18 \tabularnewline
220 & 1 & 5.45813300822485e-18 & 2.72906650411243e-18 \tabularnewline
221 & 1 & 3.92017686219893e-18 & 1.96008843109946e-18 \tabularnewline
222 & 1 & 1.63382874023256e-18 & 8.16914370116278e-19 \tabularnewline
223 & 1 & 2.60267250100253e-18 & 1.30133625050126e-18 \tabularnewline
224 & 1 & 6.62759786015164e-18 & 3.31379893007582e-18 \tabularnewline
225 & 1 & 1.70581562117071e-17 & 8.52907810585353e-18 \tabularnewline
226 & 1 & 4.34420474426336e-17 & 2.17210237213168e-17 \tabularnewline
227 & 1 & 1.16954234534077e-16 & 5.84771172670386e-17 \tabularnewline
228 & 1 & 2.48320447030166e-17 & 1.24160223515083e-17 \tabularnewline
229 & 1 & 7.29749004935591e-17 & 3.64874502467796e-17 \tabularnewline
230 & 1 & 1.8895972646701e-16 & 9.44798632335052e-17 \tabularnewline
231 & 1 & 1.62179612710261e-16 & 8.10898063551304e-17 \tabularnewline
232 & 1 & 2.11591543313303e-16 & 1.05795771656651e-16 \tabularnewline
233 & 1 & 2.86463020676924e-17 & 1.43231510338462e-17 \tabularnewline
234 & 1 & 7.76694316002199e-17 & 3.88347158001099e-17 \tabularnewline
235 & 1 & 2.04420066886044e-16 & 1.02210033443022e-16 \tabularnewline
236 & 1 & 5.19390113282623e-16 & 2.59695056641311e-16 \tabularnewline
237 & 0.999999999999999 & 1.26441748881228e-15 & 6.32208744406138e-16 \tabularnewline
238 & 0.999999999999999 & 2.14339231290025e-15 & 1.07169615645012e-15 \tabularnewline
239 & 0.999999999999997 & 6.5010856941866e-15 & 3.2505428470933e-15 \tabularnewline
240 & 0.999999999999992 & 1.57194643891712e-14 & 7.8597321945856e-15 \tabularnewline
241 & 0.999999999999987 & 2.52162549042123e-14 & 1.26081274521061e-14 \tabularnewline
242 & 0.999999999999996 & 7.31100865429035e-15 & 3.65550432714518e-15 \tabularnewline
243 & 0.999999999999998 & 4.00347042158485e-15 & 2.00173521079242e-15 \tabularnewline
244 & 0.999999999999996 & 8.09289192181397e-15 & 4.04644596090698e-15 \tabularnewline
245 & 0.999999999999991 & 1.88294412555484e-14 & 9.41472062777418e-15 \tabularnewline
246 & 0.999999999999968 & 6.30674887453963e-14 & 3.15337443726981e-14 \tabularnewline
247 & 0.999999999999939 & 1.2121541074451e-13 & 6.0607705372255e-14 \tabularnewline
248 & 0.999999999999837 & 3.26238672202675e-13 & 1.63119336101338e-13 \tabularnewline
249 & 0.999999999999597 & 8.05538866215505e-13 & 4.02769433107752e-13 \tabularnewline
250 & 0.999999999999464 & 1.07163149143695e-12 & 5.35815745718476e-13 \tabularnewline
251 & 0.999999999999723 & 5.53083795586192e-13 & 2.76541897793096e-13 \tabularnewline
252 & 0.99999999999988 & 2.40936508021292e-13 & 1.20468254010646e-13 \tabularnewline
253 & 0.999999999999848 & 3.04793062761925e-13 & 1.52396531380963e-13 \tabularnewline
254 & 0.999999999999442 & 1.11634523831157e-12 & 5.58172619155783e-13 \tabularnewline
255 & 0.999999999999675 & 6.50425625781753e-13 & 3.25212812890877e-13 \tabularnewline
256 & 0.99999999999941 & 1.17938120723579e-12 & 5.89690603617893e-13 \tabularnewline
257 & 0.999999999998304 & 3.39164645483032e-12 & 1.69582322741516e-12 \tabularnewline
258 & 0.99999999999589 & 8.22099337372571e-12 & 4.11049668686285e-12 \tabularnewline
259 & 0.999999999985974 & 2.80528070739794e-11 & 1.40264035369897e-11 \tabularnewline
260 & 0.99999999995789 & 8.42193048016451e-11 & 4.21096524008225e-11 \tabularnewline
261 & 0.999999999856754 & 2.86492574178712e-10 & 1.43246287089356e-10 \tabularnewline
262 & 0.999999999853647 & 2.92705604164984e-10 & 1.46352802082492e-10 \tabularnewline
263 & 0.99999999993687 & 1.26258954741946e-10 & 6.31294773709729e-11 \tabularnewline
264 & 0.999999999919215 & 1.61570103165978e-10 & 8.07850515829892e-11 \tabularnewline
265 & 0.999999999709866 & 5.80267299258492e-10 & 2.90133649629246e-10 \tabularnewline
266 & 0.999999999988688 & 2.26247905440093e-11 & 1.13123952720046e-11 \tabularnewline
267 & 0.999999999945336 & 1.09327597132387e-10 & 5.46637985661934e-11 \tabularnewline
268 & 0.99999999976409 & 4.71820855343989e-10 & 2.35910427671995e-10 \tabularnewline
269 & 0.99999999910232 & 1.79536107617048e-09 & 8.97680538085239e-10 \tabularnewline
270 & 0.9999999968603 & 6.27939913036907e-09 & 3.13969956518453e-09 \tabularnewline
271 & 0.999999985740022 & 2.85199567240387e-08 & 1.42599783620194e-08 \tabularnewline
272 & 0.999999984499303 & 3.10013942297869e-08 & 1.55006971148935e-08 \tabularnewline
273 & 0.999999926503567 & 1.46992866549588e-07 & 7.34964332747938e-08 \tabularnewline
274 & 0.999999911958689 & 1.76082622722247e-07 & 8.80413113611234e-08 \tabularnewline
275 & 0.999999520524865 & 9.58950270827615e-07 & 4.79475135413808e-07 \tabularnewline
276 & 0.999997650978022 & 4.69804395602156e-06 & 2.34902197801078e-06 \tabularnewline
277 & 0.999987936372338 & 2.4127255324913e-05 & 1.20636276624565e-05 \tabularnewline
278 & 0.999944180851789 & 0.000111638296421389 & 5.58191482106944e-05 \tabularnewline
279 & 0.999905940731056 & 0.000188118537887494 & 9.4059268943747e-05 \tabularnewline
280 & 0.999991637423886 & 1.6725152228233e-05 & 8.36257611411648e-06 \tabularnewline
281 & 0.999929153076688 & 0.000141693846624922 & 7.08469233124612e-05 \tabularnewline
282 & 0.999390533341907 & 0.00121893331618579 & 0.000609466658092897 \tabularnewline
283 & 1 & 1.67463245758328e-46 & 8.3731622879164e-47 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154489&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]3.09029181298582e-41[/C][C]6.18058362597164e-41[/C][C]1[/C][/ROW]
[ROW][C]16[/C][C]1.57535665058165e-57[/C][C]3.1507133011633e-57[/C][C]1[/C][/ROW]
[ROW][C]17[/C][C]0.00224909267003155[/C][C]0.0044981853400631[/C][C]0.997750907329968[/C][/ROW]
[ROW][C]18[/C][C]0.000668878515770731[/C][C]0.00133775703154146[/C][C]0.999331121484229[/C][/ROW]
[ROW][C]19[/C][C]0.000221212174034108[/C][C]0.000442424348068216[/C][C]0.999778787825966[/C][/ROW]
[ROW][C]20[/C][C]0.000127016695272448[/C][C]0.000254033390544895[/C][C]0.999872983304728[/C][/ROW]
[ROW][C]21[/C][C]3.10579725222789e-05[/C][C]6.21159450445578e-05[/C][C]0.999968942027478[/C][/ROW]
[ROW][C]22[/C][C]1.30064144387662e-05[/C][C]2.60128288775323e-05[/C][C]0.999986993585561[/C][/ROW]
[ROW][C]23[/C][C]3.70568807797962e-06[/C][C]7.41137615595924e-06[/C][C]0.999996294311922[/C][/ROW]
[ROW][C]24[/C][C]0.000188855957293858[/C][C]0.000377711914587716[/C][C]0.999811144042706[/C][/ROW]
[ROW][C]25[/C][C]8.80955207467985e-05[/C][C]0.000176191041493597[/C][C]0.999911904479253[/C][/ROW]
[ROW][C]26[/C][C]7.1207076300932e-05[/C][C]0.000142414152601864[/C][C]0.999928792923699[/C][/ROW]
[ROW][C]27[/C][C]2.86822696164595e-05[/C][C]5.73645392329189e-05[/C][C]0.999971317730384[/C][/ROW]
[ROW][C]28[/C][C]1.92603283769088e-05[/C][C]3.85206567538175e-05[/C][C]0.999980739671623[/C][/ROW]
[ROW][C]29[/C][C]1.58923630678435e-05[/C][C]3.17847261356871e-05[/C][C]0.999984107636932[/C][/ROW]
[ROW][C]30[/C][C]6.14693985859574e-06[/C][C]1.22938797171915e-05[/C][C]0.999993853060141[/C][/ROW]
[ROW][C]31[/C][C]2.21077596044433e-06[/C][C]4.42155192088867e-06[/C][C]0.99999778922404[/C][/ROW]
[ROW][C]32[/C][C]7.90146069695699e-07[/C][C]1.5802921393914e-06[/C][C]0.99999920985393[/C][/ROW]
[ROW][C]33[/C][C]3.87679329110203e-07[/C][C]7.75358658220407e-07[/C][C]0.999999612320671[/C][/ROW]
[ROW][C]34[/C][C]2.29175798680202e-07[/C][C]4.58351597360404e-07[/C][C]0.999999770824201[/C][/ROW]
[ROW][C]35[/C][C]8.65327830743361e-08[/C][C]1.73065566148672e-07[/C][C]0.999999913467217[/C][/ROW]
[ROW][C]36[/C][C]3.24753039693758e-05[/C][C]6.49506079387516e-05[/C][C]0.999967524696031[/C][/ROW]
[ROW][C]37[/C][C]1.71925251542327e-05[/C][C]3.43850503084654e-05[/C][C]0.999982807474846[/C][/ROW]
[ROW][C]38[/C][C]8.23138449603837e-06[/C][C]1.64627689920767e-05[/C][C]0.999991768615504[/C][/ROW]
[ROW][C]39[/C][C]3.85770061276153e-06[/C][C]7.71540122552306e-06[/C][C]0.999996142299387[/C][/ROW]
[ROW][C]40[/C][C]1.74451007001579e-06[/C][C]3.48902014003158e-06[/C][C]0.99999825548993[/C][/ROW]
[ROW][C]41[/C][C]0.334281654773394[/C][C]0.668563309546789[/C][C]0.665718345226606[/C][/ROW]
[ROW][C]42[/C][C]0.777834359793621[/C][C]0.444331280412758[/C][C]0.222165640206379[/C][/ROW]
[ROW][C]43[/C][C]0.80003055318679[/C][C]0.399938893626421[/C][C]0.199969446813211[/C][/ROW]
[ROW][C]44[/C][C]0.761237826498196[/C][C]0.477524347003609[/C][C]0.238762173501804[/C][/ROW]
[ROW][C]45[/C][C]0.721926121167639[/C][C]0.556147757664723[/C][C]0.278073878832361[/C][/ROW]
[ROW][C]46[/C][C]0.678843850613172[/C][C]0.642312298773655[/C][C]0.321156149386828[/C][/ROW]
[ROW][C]47[/C][C]0.771689105361336[/C][C]0.456621789277329[/C][C]0.228310894638664[/C][/ROW]
[ROW][C]48[/C][C]0.747935413140797[/C][C]0.504129173718406[/C][C]0.252064586859203[/C][/ROW]
[ROW][C]49[/C][C]0.747109829476205[/C][C]0.50578034104759[/C][C]0.252890170523795[/C][/ROW]
[ROW][C]50[/C][C]0.720582831134264[/C][C]0.558834337731472[/C][C]0.279417168865736[/C][/ROW]
[ROW][C]51[/C][C]0.713816072577422[/C][C]0.572367854845156[/C][C]0.286183927422578[/C][/ROW]
[ROW][C]52[/C][C]0.797435180670848[/C][C]0.405129638658305[/C][C]0.202564819329153[/C][/ROW]
[ROW][C]53[/C][C]0.787906954500037[/C][C]0.424186090999926[/C][C]0.212093045499963[/C][/ROW]
[ROW][C]54[/C][C]0.839037293426382[/C][C]0.321925413147237[/C][C]0.160962706573618[/C][/ROW]
[ROW][C]55[/C][C]0.92994738193087[/C][C]0.140105236138261[/C][C]0.0700526180691303[/C][/ROW]
[ROW][C]56[/C][C]0.922949598966055[/C][C]0.15410080206789[/C][C]0.0770504010339451[/C][/ROW]
[ROW][C]57[/C][C]0.906096074528453[/C][C]0.187807850943094[/C][C]0.093903925471547[/C][/ROW]
[ROW][C]58[/C][C]0.903180038479749[/C][C]0.193639923040503[/C][C]0.0968199615202513[/C][/ROW]
[ROW][C]59[/C][C]0.886749764601435[/C][C]0.22650047079713[/C][C]0.113250235398565[/C][/ROW]
[ROW][C]60[/C][C]0.934511503971047[/C][C]0.130976992057906[/C][C]0.0654884960289531[/C][/ROW]
[ROW][C]61[/C][C]0.93375470588939[/C][C]0.132490588221221[/C][C]0.0662452941106103[/C][/ROW]
[ROW][C]62[/C][C]0.926794626603582[/C][C]0.146410746792836[/C][C]0.0732053733964179[/C][/ROW]
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[ROW][C]198[/C][C]1[/C][C]2.39211187663035e-25[/C][C]1.19605593831517e-25[/C][/ROW]
[ROW][C]199[/C][C]1[/C][C]5.61643851653617e-25[/C][C]2.80821925826808e-25[/C][/ROW]
[ROW][C]200[/C][C]1[/C][C]1.51948615682823e-24[/C][C]7.59743078414115e-25[/C][/ROW]
[ROW][C]201[/C][C]1[/C][C]4.36147034868841e-24[/C][C]2.18073517434421e-24[/C][/ROW]
[ROW][C]202[/C][C]1[/C][C]9.61037101116934e-24[/C][C]4.80518550558467e-24[/C][/ROW]
[ROW][C]203[/C][C]1[/C][C]2.57793518627746e-23[/C][C]1.28896759313873e-23[/C][/ROW]
[ROW][C]204[/C][C]1[/C][C]6.17054502012692e-23[/C][C]3.08527251006346e-23[/C][/ROW]
[ROW][C]205[/C][C]1[/C][C]4.07095109190513e-23[/C][C]2.03547554595256e-23[/C][/ROW]
[ROW][C]206[/C][C]1[/C][C]7.33017618488031e-23[/C][C]3.66508809244016e-23[/C][/ROW]
[ROW][C]207[/C][C]1[/C][C]1.97461017757263e-22[/C][C]9.87305088786315e-23[/C][/ROW]
[ROW][C]208[/C][C]1[/C][C]5.94814072450485e-22[/C][C]2.97407036225242e-22[/C][/ROW]
[ROW][C]209[/C][C]1[/C][C]1.53700970728273e-21[/C][C]7.68504853641367e-22[/C][/ROW]
[ROW][C]210[/C][C]1[/C][C]4.59141208937753e-21[/C][C]2.29570604468876e-21[/C][/ROW]
[ROW][C]211[/C][C]1[/C][C]1.26047372993236e-20[/C][C]6.30236864966178e-21[/C][/ROW]
[ROW][C]212[/C][C]1[/C][C]3.54465589255659e-20[/C][C]1.7723279462783e-20[/C][/ROW]
[ROW][C]213[/C][C]1[/C][C]9.24464733956258e-20[/C][C]4.62232366978129e-20[/C][/ROW]
[ROW][C]214[/C][C]1[/C][C]1.15253463106894e-19[/C][C]5.7626731553447e-20[/C][/ROW]
[ROW][C]215[/C][C]1[/C][C]2.31621498656194e-19[/C][C]1.15810749328097e-19[/C][/ROW]
[ROW][C]216[/C][C]1[/C][C]5.22871649961901e-19[/C][C]2.61435824980951e-19[/C][/ROW]
[ROW][C]217[/C][C]1[/C][C]7.29680141416086e-19[/C][C]3.64840070708043e-19[/C][/ROW]
[ROW][C]218[/C][C]1[/C][C]1.66232834266442e-18[/C][C]8.31164171332208e-19[/C][/ROW]
[ROW][C]219[/C][C]1[/C][C]4.25804233523136e-18[/C][C]2.12902116761568e-18[/C][/ROW]
[ROW][C]220[/C][C]1[/C][C]5.45813300822485e-18[/C][C]2.72906650411243e-18[/C][/ROW]
[ROW][C]221[/C][C]1[/C][C]3.92017686219893e-18[/C][C]1.96008843109946e-18[/C][/ROW]
[ROW][C]222[/C][C]1[/C][C]1.63382874023256e-18[/C][C]8.16914370116278e-19[/C][/ROW]
[ROW][C]223[/C][C]1[/C][C]2.60267250100253e-18[/C][C]1.30133625050126e-18[/C][/ROW]
[ROW][C]224[/C][C]1[/C][C]6.62759786015164e-18[/C][C]3.31379893007582e-18[/C][/ROW]
[ROW][C]225[/C][C]1[/C][C]1.70581562117071e-17[/C][C]8.52907810585353e-18[/C][/ROW]
[ROW][C]226[/C][C]1[/C][C]4.34420474426336e-17[/C][C]2.17210237213168e-17[/C][/ROW]
[ROW][C]227[/C][C]1[/C][C]1.16954234534077e-16[/C][C]5.84771172670386e-17[/C][/ROW]
[ROW][C]228[/C][C]1[/C][C]2.48320447030166e-17[/C][C]1.24160223515083e-17[/C][/ROW]
[ROW][C]229[/C][C]1[/C][C]7.29749004935591e-17[/C][C]3.64874502467796e-17[/C][/ROW]
[ROW][C]230[/C][C]1[/C][C]1.8895972646701e-16[/C][C]9.44798632335052e-17[/C][/ROW]
[ROW][C]231[/C][C]1[/C][C]1.62179612710261e-16[/C][C]8.10898063551304e-17[/C][/ROW]
[ROW][C]232[/C][C]1[/C][C]2.11591543313303e-16[/C][C]1.05795771656651e-16[/C][/ROW]
[ROW][C]233[/C][C]1[/C][C]2.86463020676924e-17[/C][C]1.43231510338462e-17[/C][/ROW]
[ROW][C]234[/C][C]1[/C][C]7.76694316002199e-17[/C][C]3.88347158001099e-17[/C][/ROW]
[ROW][C]235[/C][C]1[/C][C]2.04420066886044e-16[/C][C]1.02210033443022e-16[/C][/ROW]
[ROW][C]236[/C][C]1[/C][C]5.19390113282623e-16[/C][C]2.59695056641311e-16[/C][/ROW]
[ROW][C]237[/C][C]0.999999999999999[/C][C]1.26441748881228e-15[/C][C]6.32208744406138e-16[/C][/ROW]
[ROW][C]238[/C][C]0.999999999999999[/C][C]2.14339231290025e-15[/C][C]1.07169615645012e-15[/C][/ROW]
[ROW][C]239[/C][C]0.999999999999997[/C][C]6.5010856941866e-15[/C][C]3.2505428470933e-15[/C][/ROW]
[ROW][C]240[/C][C]0.999999999999992[/C][C]1.57194643891712e-14[/C][C]7.8597321945856e-15[/C][/ROW]
[ROW][C]241[/C][C]0.999999999999987[/C][C]2.52162549042123e-14[/C][C]1.26081274521061e-14[/C][/ROW]
[ROW][C]242[/C][C]0.999999999999996[/C][C]7.31100865429035e-15[/C][C]3.65550432714518e-15[/C][/ROW]
[ROW][C]243[/C][C]0.999999999999998[/C][C]4.00347042158485e-15[/C][C]2.00173521079242e-15[/C][/ROW]
[ROW][C]244[/C][C]0.999999999999996[/C][C]8.09289192181397e-15[/C][C]4.04644596090698e-15[/C][/ROW]
[ROW][C]245[/C][C]0.999999999999991[/C][C]1.88294412555484e-14[/C][C]9.41472062777418e-15[/C][/ROW]
[ROW][C]246[/C][C]0.999999999999968[/C][C]6.30674887453963e-14[/C][C]3.15337443726981e-14[/C][/ROW]
[ROW][C]247[/C][C]0.999999999999939[/C][C]1.2121541074451e-13[/C][C]6.0607705372255e-14[/C][/ROW]
[ROW][C]248[/C][C]0.999999999999837[/C][C]3.26238672202675e-13[/C][C]1.63119336101338e-13[/C][/ROW]
[ROW][C]249[/C][C]0.999999999999597[/C][C]8.05538866215505e-13[/C][C]4.02769433107752e-13[/C][/ROW]
[ROW][C]250[/C][C]0.999999999999464[/C][C]1.07163149143695e-12[/C][C]5.35815745718476e-13[/C][/ROW]
[ROW][C]251[/C][C]0.999999999999723[/C][C]5.53083795586192e-13[/C][C]2.76541897793096e-13[/C][/ROW]
[ROW][C]252[/C][C]0.99999999999988[/C][C]2.40936508021292e-13[/C][C]1.20468254010646e-13[/C][/ROW]
[ROW][C]253[/C][C]0.999999999999848[/C][C]3.04793062761925e-13[/C][C]1.52396531380963e-13[/C][/ROW]
[ROW][C]254[/C][C]0.999999999999442[/C][C]1.11634523831157e-12[/C][C]5.58172619155783e-13[/C][/ROW]
[ROW][C]255[/C][C]0.999999999999675[/C][C]6.50425625781753e-13[/C][C]3.25212812890877e-13[/C][/ROW]
[ROW][C]256[/C][C]0.99999999999941[/C][C]1.17938120723579e-12[/C][C]5.89690603617893e-13[/C][/ROW]
[ROW][C]257[/C][C]0.999999999998304[/C][C]3.39164645483032e-12[/C][C]1.69582322741516e-12[/C][/ROW]
[ROW][C]258[/C][C]0.99999999999589[/C][C]8.22099337372571e-12[/C][C]4.11049668686285e-12[/C][/ROW]
[ROW][C]259[/C][C]0.999999999985974[/C][C]2.80528070739794e-11[/C][C]1.40264035369897e-11[/C][/ROW]
[ROW][C]260[/C][C]0.99999999995789[/C][C]8.42193048016451e-11[/C][C]4.21096524008225e-11[/C][/ROW]
[ROW][C]261[/C][C]0.999999999856754[/C][C]2.86492574178712e-10[/C][C]1.43246287089356e-10[/C][/ROW]
[ROW][C]262[/C][C]0.999999999853647[/C][C]2.92705604164984e-10[/C][C]1.46352802082492e-10[/C][/ROW]
[ROW][C]263[/C][C]0.99999999993687[/C][C]1.26258954741946e-10[/C][C]6.31294773709729e-11[/C][/ROW]
[ROW][C]264[/C][C]0.999999999919215[/C][C]1.61570103165978e-10[/C][C]8.07850515829892e-11[/C][/ROW]
[ROW][C]265[/C][C]0.999999999709866[/C][C]5.80267299258492e-10[/C][C]2.90133649629246e-10[/C][/ROW]
[ROW][C]266[/C][C]0.999999999988688[/C][C]2.26247905440093e-11[/C][C]1.13123952720046e-11[/C][/ROW]
[ROW][C]267[/C][C]0.999999999945336[/C][C]1.09327597132387e-10[/C][C]5.46637985661934e-11[/C][/ROW]
[ROW][C]268[/C][C]0.99999999976409[/C][C]4.71820855343989e-10[/C][C]2.35910427671995e-10[/C][/ROW]
[ROW][C]269[/C][C]0.99999999910232[/C][C]1.79536107617048e-09[/C][C]8.97680538085239e-10[/C][/ROW]
[ROW][C]270[/C][C]0.9999999968603[/C][C]6.27939913036907e-09[/C][C]3.13969956518453e-09[/C][/ROW]
[ROW][C]271[/C][C]0.999999985740022[/C][C]2.85199567240387e-08[/C][C]1.42599783620194e-08[/C][/ROW]
[ROW][C]272[/C][C]0.999999984499303[/C][C]3.10013942297869e-08[/C][C]1.55006971148935e-08[/C][/ROW]
[ROW][C]273[/C][C]0.999999926503567[/C][C]1.46992866549588e-07[/C][C]7.34964332747938e-08[/C][/ROW]
[ROW][C]274[/C][C]0.999999911958689[/C][C]1.76082622722247e-07[/C][C]8.80413113611234e-08[/C][/ROW]
[ROW][C]275[/C][C]0.999999520524865[/C][C]9.58950270827615e-07[/C][C]4.79475135413808e-07[/C][/ROW]
[ROW][C]276[/C][C]0.999997650978022[/C][C]4.69804395602156e-06[/C][C]2.34902197801078e-06[/C][/ROW]
[ROW][C]277[/C][C]0.999987936372338[/C][C]2.4127255324913e-05[/C][C]1.20636276624565e-05[/C][/ROW]
[ROW][C]278[/C][C]0.999944180851789[/C][C]0.000111638296421389[/C][C]5.58191482106944e-05[/C][/ROW]
[ROW][C]279[/C][C]0.999905940731056[/C][C]0.000188118537887494[/C][C]9.4059268943747e-05[/C][/ROW]
[ROW][C]280[/C][C]0.999991637423886[/C][C]1.6725152228233e-05[/C][C]8.36257611411648e-06[/C][/ROW]
[ROW][C]281[/C][C]0.999929153076688[/C][C]0.000141693846624922[/C][C]7.08469233124612e-05[/C][/ROW]
[ROW][C]282[/C][C]0.999390533341907[/C][C]0.00121893331618579[/C][C]0.000609466658092897[/C][/ROW]
[ROW][C]283[/C][C]1[/C][C]1.67463245758328e-46[/C][C]8.3731622879164e-47[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=154489&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154489&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	3.09029181298582e-41	6.18058362597164e-41	1
16	1.57535665058165e-57	3.1507133011633e-57	1
17	0.00224909267003155	0.0044981853400631	0.997750907329968
18	0.000668878515770731	0.00133775703154146	0.999331121484229
19	0.000221212174034108	0.000442424348068216	0.999778787825966
20	0.000127016695272448	0.000254033390544895	0.999872983304728
21	3.10579725222789e-05	6.21159450445578e-05	0.999968942027478
22	1.30064144387662e-05	2.60128288775323e-05	0.999986993585561
23	3.70568807797962e-06	7.41137615595924e-06	0.999996294311922
24	0.000188855957293858	0.000377711914587716	0.999811144042706
25	8.80955207467985e-05	0.000176191041493597	0.999911904479253
26	7.1207076300932e-05	0.000142414152601864	0.999928792923699
27	2.86822696164595e-05	5.73645392329189e-05	0.999971317730384
28	1.92603283769088e-05	3.85206567538175e-05	0.999980739671623
29	1.58923630678435e-05	3.17847261356871e-05	0.999984107636932
30	6.14693985859574e-06	1.22938797171915e-05	0.999993853060141
31	2.21077596044433e-06	4.42155192088867e-06	0.99999778922404
32	7.90146069695699e-07	1.5802921393914e-06	0.99999920985393
33	3.87679329110203e-07	7.75358658220407e-07	0.999999612320671
34	2.29175798680202e-07	4.58351597360404e-07	0.999999770824201
35	8.65327830743361e-08	1.73065566148672e-07	0.999999913467217
36	3.24753039693758e-05	6.49506079387516e-05	0.999967524696031
37	1.71925251542327e-05	3.43850503084654e-05	0.999982807474846
38	8.23138449603837e-06	1.64627689920767e-05	0.999991768615504
39	3.85770061276153e-06	7.71540122552306e-06	0.999996142299387
40	1.74451007001579e-06	3.48902014003158e-06	0.99999825548993
41	0.334281654773394	0.668563309546789	0.665718345226606
42	0.777834359793621	0.444331280412758	0.222165640206379
43	0.80003055318679	0.399938893626421	0.199969446813211
44	0.761237826498196	0.477524347003609	0.238762173501804
45	0.721926121167639	0.556147757664723	0.278073878832361
46	0.678843850613172	0.642312298773655	0.321156149386828
47	0.771689105361336	0.456621789277329	0.228310894638664
48	0.747935413140797	0.504129173718406	0.252064586859203
49	0.747109829476205	0.50578034104759	0.252890170523795
50	0.720582831134264	0.558834337731472	0.279417168865736
51	0.713816072577422	0.572367854845156	0.286183927422578
52	0.797435180670848	0.405129638658305	0.202564819329153
53	0.787906954500037	0.424186090999926	0.212093045499963
54	0.839037293426382	0.321925413147237	0.160962706573618
55	0.92994738193087	0.140105236138261	0.0700526180691303
56	0.922949598966055	0.15410080206789	0.0770504010339451
57	0.906096074528453	0.187807850943094	0.093903925471547
58	0.903180038479749	0.193639923040503	0.0968199615202513
59	0.886749764601435	0.22650047079713	0.113250235398565
60	0.934511503971047	0.130976992057906	0.0654884960289531
61	0.93375470588939	0.132490588221221	0.0662452941106103
62	0.926794626603582	0.146410746792836	0.0732053733964179
63	0.921276434456409	0.157447131087183	0.0787235655435913
64	0.906512927356847	0.186974145286306	0.0934870726431529
65	0.921190521087586	0.157618957824827	0.0788094789124137
66	0.914894027205175	0.170211945589651	0.0851059727948254
67	0.943978934086349	0.112042131827302	0.0560210659136511
68	0.985657363940074	0.028685272119852	0.014342636059926
69	0.983963169109385	0.0320736617812304	0.0160368308906152
70	0.979503088171332	0.0409938236573367	0.0204969118286683
71	0.983309814903771	0.0333803701924578	0.0166901850962289
72	0.978897519678393	0.0422049606432136	0.0211024803216068
73	0.98496027163452	0.0300794567309593	0.0150397283654797
74	0.983137658419714	0.0337246831605723	0.0168623415802862
75	0.980296871507445	0.039406256985109	0.0197031284925545
76	0.975164521946186	0.0496709561076283	0.0248354780538141
77	0.969575472643606	0.0608490547127873	0.0304245273563936
78	0.967669451110705	0.0646610977785905	0.0323305488892952
79	0.960481275479594	0.0790374490408118	0.0395187245204059
80	0.953818173646591	0.0923636527068179	0.0461818263534089
81	0.950604295879899	0.0987914082402011	0.0493957041201006
82	0.944391629221351	0.111216741557298	0.055608370778649
83	0.933493871627805	0.133012256744391	0.0665061283721953
84	0.920702224532344	0.158595550935311	0.0792977754676557
85	0.942180124932896	0.115639750134207	0.0578198750671037
86	0.946549978606472	0.106900042787055	0.0534500213935275
87	0.956720560175341	0.0865588796493179	0.0432794398246589
88	0.948259608964323	0.103480782071353	0.0517403910356767
89	0.947650774569656	0.104698450860687	0.0523492254303436
90	0.943649644155674	0.112700711688652	0.0563503558443262
91	0.947738998370405	0.104522003259191	0.0522610016295954
92	0.964593516565222	0.0708129668695557	0.0354064834347778
93	0.961559730229794	0.0768805395404114	0.0384402697702057
94	0.957792426312174	0.084415147375652	0.042207573687826
95	0.954568030692075	0.0908639386158507	0.0454319693079253
96	0.949749963184491	0.100500073631018	0.050250036815509
97	0.94009524692116	0.11980950615768	0.0599047530788398
98	0.933496722452339	0.133006555095322	0.066503277547661
99	0.923883588437359	0.152232823125283	0.0761164115626413
100	0.910612811476447	0.178774377047105	0.0893871885235526
101	0.895776686376782	0.208446627246435	0.104223313623218
102	0.879873013009081	0.240253973981839	0.120126986990919
103	0.86528776062777	0.26942447874446	0.13471223937223
104	0.850615757951589	0.298768484096822	0.149384242048411
105	0.829731641021938	0.340536717956124	0.170268358978062
106	0.817323245572982	0.365353508854035	0.182676754427018
107	0.795389774939439	0.409220450121121	0.204610225060561
108	0.770127658816423	0.459744682367154	0.229872341183577
109	0.74323374751481	0.513532504970381	0.25676625248519
110	0.71508457198388	0.56983085603224	0.28491542801612
111	0.696285684761557	0.607428630476886	0.303714315238443
112	0.667709043301179	0.664581913397641	0.332290956698821
113	0.659722380358017	0.680555239283966	0.340277619641983
114	0.627482384296313	0.745035231407374	0.372517615703687
115	0.594356079672099	0.811287840655802	0.405643920327901
116	0.585797261869225	0.828405476261551	0.414202738130775
117	0.553921584831984	0.892156830336031	0.446078415168016
118	0.545500211103094	0.908999577793812	0.454499788896906
119	0.535022346935569	0.929955306128861	0.464977653064431
120	0.500996315443662	0.998007369112677	0.499003684556338
121	0.466987133251018	0.933974266502035	0.533012866748982
122	0.433734340321691	0.867468680643382	0.566265659678309
123	0.411558238443297	0.823116476886594	0.588441761556703
124	0.38765534362935	0.775310687258701	0.612344656370649
125	0.404213461236776	0.808426922473551	0.595786538763224
126	0.471462476099439	0.942924952198878	0.528537523900561
127	0.444279534612475	0.888559069224951	0.555720465387525
128	0.413367375404962	0.826734750809924	0.586632624595038
129	0.388041273493001	0.776082546986001	0.611958726506999
130	0.361689338281773	0.723378676563545	0.638310661718227
131	0.338293872806324	0.676587745612648	0.661706127193676
132	0.309665427722545	0.619330855445091	0.690334572277455
133	0.293801905596237	0.587603811192473	0.706198094403763
134	0.265682137214148	0.531364274428296	0.734317862785852
135	0.283345770953011	0.566691541906022	0.716654229046989
136	0.256120558832948	0.512241117665897	0.743879441167052
137	0.279003210885414	0.558006421770827	0.720996789114586
138	0.286647060864927	0.573294121729854	0.713352939135073
139	0.272237942652108	0.544475885304216	0.727762057347892
140	0.250199176033256	0.500398352066513	0.749800823966744
141	0.230564572609408	0.461129145218815	0.769435427390592
142	0.239173997908389	0.478347995816777	0.760826002091611
143	0.214386220045698	0.428772440091395	0.785613779954302
144	0.191951962693086	0.383903925386171	0.808048037306914
145	0.170284884089363	0.340569768178727	0.829715115910637
146	0.186142746321628	0.372285492643256	0.813857253678372
147	0.201329857936513	0.402659715873026	0.798670142063487
148	0.184384788749377	0.368769577498755	0.815615211250623
149	0.170754388925545	0.341508777851089	0.829245611074455
150	0.158621517646868	0.317243035293736	0.841378482353132
151	0.139049096192371	0.278098192384742	0.860950903807629
152	0.124125748243012	0.248251496486023	0.875874251756988
153	0.11382958872258	0.227659177445161	0.886170411277419
154	0.103162835235979	0.206325670471958	0.896837164764021
155	0.0971529824693784	0.194305964938757	0.902847017530622
156	0.0844818105134607	0.168963621026921	0.915518189486539
157	0.0730298546422266	0.146059709284453	0.926970145357773
158	0.0624330568407546	0.124866113681509	0.937566943159245
159	0.0539942128010221	0.107988425602044	0.946005787198978
160	0.0468021394496059	0.0936042788992119	0.953197860550394
161	0.0395319906015303	0.0790639812030606	0.96046800939847
162	0.0337399733909743	0.0674799467819485	0.966260026609026
163	0.0282163419538941	0.0564326839077881	0.971783658046106
164	0.0235355529923171	0.0470711059846343	0.976464447007683
165	0.0194451058382493	0.0388902116764987	0.980554894161751
166	0.0166897149026764	0.0333794298053528	0.983310285097324
167	0.0135240246462272	0.0270480492924544	0.986475975353773
168	0.0109043659258737	0.0218087318517475	0.989095634074126
169	0.00929768718264764	0.0185953743652953	0.990702312817352
170	0.00741111568333539	0.0148222313666708	0.992588884316665
171	0.00840680874254173	0.0168136174850835	0.991593191257458
172	0.00685672292647297	0.0137134458529459	0.993143277073527
173	0.00538511097452403	0.0107702219490481	0.994614889025476
174	0.00423932366726815	0.00847864733453629	0.995760676332732
175	0.00496141029913085	0.00992282059826171	0.995038589700869
176	0.00449157194044166	0.00898314388088332	0.995508428059558
177	0.00352660108825121	0.00705320217650242	0.996473398911749
178	0.00281047923401442	0.00562095846802883	0.997189520765986
179	0.00217370150185292	0.00434740300370584	0.997826298498147
180	0.00166546802496826	0.00333093604993651	0.998334531975032
181	0.00129355342866449	0.00258710685732898	0.998706446571336
182	0.00168686233995166	0.00337372467990332	0.998313137660048
183	0.00128453217839647	0.00256906435679295	0.998715467821603
184	0.000967994803988767	0.00193598960797753	0.999032005196011
185	0.00102927677502832	0.00205855355005664	0.998970723224972
186	0.00129634152847784	0.00259268305695568	0.998703658471522
187	0.00107108193291116	0.00214216386582231	0.998928918067089
188	0.00117530401873518	0.00235060803747037	0.998824695981265
189	0.00100063061685742	0.00200126123371484	0.998999369383143
190	0.0011156122930476	0.0022312245860952	0.998884387706952
191	0.000959152960321139	0.00191830592064228	0.999040847039679
192	0.000740705994253496	0.00148141198850699	0.999259294005747
193	0.000546972653044673	0.00109394530608935	0.999453027346955
194	0.000418416342608557	0.000836832685217114	0.999581583657391
195	0.273769424626094	0.547538849252188	0.726230575373906
196	0.99482633925415	0.0103473214916993	0.00517366074584966
197	1	8.68749266280232e-26	4.34374633140116e-26
198	1	2.39211187663035e-25	1.19605593831517e-25
199	1	5.61643851653617e-25	2.80821925826808e-25
200	1	1.51948615682823e-24	7.59743078414115e-25
201	1	4.36147034868841e-24	2.18073517434421e-24
202	1	9.61037101116934e-24	4.80518550558467e-24
203	1	2.57793518627746e-23	1.28896759313873e-23
204	1	6.17054502012692e-23	3.08527251006346e-23
205	1	4.07095109190513e-23	2.03547554595256e-23
206	1	7.33017618488031e-23	3.66508809244016e-23
207	1	1.97461017757263e-22	9.87305088786315e-23
208	1	5.94814072450485e-22	2.97407036225242e-22
209	1	1.53700970728273e-21	7.68504853641367e-22
210	1	4.59141208937753e-21	2.29570604468876e-21
211	1	1.26047372993236e-20	6.30236864966178e-21
212	1	3.54465589255659e-20	1.7723279462783e-20
213	1	9.24464733956258e-20	4.62232366978129e-20
214	1	1.15253463106894e-19	5.7626731553447e-20
215	1	2.31621498656194e-19	1.15810749328097e-19
216	1	5.22871649961901e-19	2.61435824980951e-19
217	1	7.29680141416086e-19	3.64840070708043e-19
218	1	1.66232834266442e-18	8.31164171332208e-19
219	1	4.25804233523136e-18	2.12902116761568e-18
220	1	5.45813300822485e-18	2.72906650411243e-18
221	1	3.92017686219893e-18	1.96008843109946e-18
222	1	1.63382874023256e-18	8.16914370116278e-19
223	1	2.60267250100253e-18	1.30133625050126e-18
224	1	6.62759786015164e-18	3.31379893007582e-18
225	1	1.70581562117071e-17	8.52907810585353e-18
226	1	4.34420474426336e-17	2.17210237213168e-17
227	1	1.16954234534077e-16	5.84771172670386e-17
228	1	2.48320447030166e-17	1.24160223515083e-17
229	1	7.29749004935591e-17	3.64874502467796e-17
230	1	1.8895972646701e-16	9.44798632335052e-17
231	1	1.62179612710261e-16	8.10898063551304e-17
232	1	2.11591543313303e-16	1.05795771656651e-16
233	1	2.86463020676924e-17	1.43231510338462e-17
234	1	7.76694316002199e-17	3.88347158001099e-17
235	1	2.04420066886044e-16	1.02210033443022e-16
236	1	5.19390113282623e-16	2.59695056641311e-16
237	0.999999999999999	1.26441748881228e-15	6.32208744406138e-16
238	0.999999999999999	2.14339231290025e-15	1.07169615645012e-15
239	0.999999999999997	6.5010856941866e-15	3.2505428470933e-15
240	0.999999999999992	1.57194643891712e-14	7.8597321945856e-15
241	0.999999999999987	2.52162549042123e-14	1.26081274521061e-14
242	0.999999999999996	7.31100865429035e-15	3.65550432714518e-15
243	0.999999999999998	4.00347042158485e-15	2.00173521079242e-15
244	0.999999999999996	8.09289192181397e-15	4.04644596090698e-15
245	0.999999999999991	1.88294412555484e-14	9.41472062777418e-15
246	0.999999999999968	6.30674887453963e-14	3.15337443726981e-14
247	0.999999999999939	1.2121541074451e-13	6.0607705372255e-14
248	0.999999999999837	3.26238672202675e-13	1.63119336101338e-13
249	0.999999999999597	8.05538866215505e-13	4.02769433107752e-13
250	0.999999999999464	1.07163149143695e-12	5.35815745718476e-13
251	0.999999999999723	5.53083795586192e-13	2.76541897793096e-13
252	0.99999999999988	2.40936508021292e-13	1.20468254010646e-13
253	0.999999999999848	3.04793062761925e-13	1.52396531380963e-13
254	0.999999999999442	1.11634523831157e-12	5.58172619155783e-13
255	0.999999999999675	6.50425625781753e-13	3.25212812890877e-13
256	0.99999999999941	1.17938120723579e-12	5.89690603617893e-13
257	0.999999999998304	3.39164645483032e-12	1.69582322741516e-12
258	0.99999999999589	8.22099337372571e-12	4.11049668686285e-12
259	0.999999999985974	2.80528070739794e-11	1.40264035369897e-11
260	0.99999999995789	8.42193048016451e-11	4.21096524008225e-11
261	0.999999999856754	2.86492574178712e-10	1.43246287089356e-10
262	0.999999999853647	2.92705604164984e-10	1.46352802082492e-10
263	0.99999999993687	1.26258954741946e-10	6.31294773709729e-11
264	0.999999999919215	1.61570103165978e-10	8.07850515829892e-11
265	0.999999999709866	5.80267299258492e-10	2.90133649629246e-10
266	0.999999999988688	2.26247905440093e-11	1.13123952720046e-11
267	0.999999999945336	1.09327597132387e-10	5.46637985661934e-11
268	0.99999999976409	4.71820855343989e-10	2.35910427671995e-10
269	0.99999999910232	1.79536107617048e-09	8.97680538085239e-10
270	0.9999999968603	6.27939913036907e-09	3.13969956518453e-09
271	0.999999985740022	2.85199567240387e-08	1.42599783620194e-08
272	0.999999984499303	3.10013942297869e-08	1.55006971148935e-08
273	0.999999926503567	1.46992866549588e-07	7.34964332747938e-08
274	0.999999911958689	1.76082622722247e-07	8.80413113611234e-08
275	0.999999520524865	9.58950270827615e-07	4.79475135413808e-07
276	0.999997650978022	4.69804395602156e-06	2.34902197801078e-06
277	0.999987936372338	2.4127255324913e-05	1.20636276624565e-05
278	0.999944180851789	0.000111638296421389	5.58191482106944e-05
279	0.999905940731056	0.000188118537887494	9.4059268943747e-05
280	0.999991637423886	1.6725152228233e-05	8.36257611411648e-06
281	0.999929153076688	0.000141693846624922	7.08469233124612e-05
282	0.999390533341907	0.00121893331618579	0.000609466658092897
283	1	1.67463245758328e-46	8.3731622879164e-47

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description	# significant tests	% significant tests	OK/NOK
1% type I error level	134	0.49814126394052	NOK
5% type I error level	154	0.572490706319703	NOK
10% type I error level	168	0.62453531598513	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 & 134 & 0.49814126394052 & NOK \tabularnewline
5% type I error level & 154 & 0.572490706319703 & NOK \tabularnewline
10% type I error level & 168 & 0.62453531598513 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154489&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]134[/C][C]0.49814126394052[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]154[/C][C]0.572490706319703[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]168[/C][C]0.62453531598513[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=154489&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154489&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	134	0.49814126394052	NOK
5% type I error level	154	0.572490706319703	NOK
10% type I error level	168	0.62453531598513	NOK

Figure 1

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Figure 5

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Figure 6

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Figure 7

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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 = 5 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;

Parameters (R input):

par1 = 5 ; 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