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R Software Module

rwasp_multipleregression.wasp

Title produced by software

Multiple Regression

Date of computation

Tue, 13 Dec 2011 19:09:42 -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/t1323821404xijwpgu6efyucxj.htm/, Retrieved Fri, 03 May 2024 03:34:51 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=154781, Retrieved Fri, 03 May 2024 03:34:51 +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] [7156a20ff7d97880b6dc50f7239ba03b]
-   P     [Multiple Regression] [PAG] [2011-12-13 23:00:12] [7156a20ff7d97880b6dc50f7239ba03b]
-   PD        [Multiple Regression] [idk] [2011-12-14 00:09:42] [8aedcf735e397266388b06f47fe45218] [Current]

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Dataseries X:

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7	0.27	0.36	20.7	0.045	45	170	3	0.45	8.8	6
6.3	0.3	0.34	1.6	0.049	14	132	3.3	0.49	9.5	6
8.1	0.28	0.4	6.9	0.05	30	97	3.26	0.44	10.1	6
7.2	0.23	0.32	8.5	0.058	47	186	3.19	0.4	9.9	6
7.2	0.23	0.32	8.5	0.058	47	186	3.19	0.4	9.9	6
8.1	0.28	0.4	6.9	0.05	30	97	3.26	0.44	10.1	6
6.2	0.32	0.16	7	0.045	30	136	3.18	0.47	9.6	6
7	0.27	0.36	20.7	0.045	45	170	3	0.45	8.8	6
6.3	0.3	0.34	1.6	0.049	14	132	3.3	0.49	9.5	6
8.1	0.22	0.43	1.5	0.044	28	129	3.22	0.45	11	6
8.1	0.27	0.41	1.45	0.033	11	63	2.99	0.56	12	5
8.6	0.23	0.4	4.2	0.035	17	109	3.14	0.53	9.7	5
7.9	0.18	0.37	1.2	0.04	16	75	3.18	0.63	10.8	5
6.6	0.16	0.4	1.5	0.044	48	143	3.54	0.52	12.4	7
8.3	0.42	0.62	19.25	0.04	41	172	2.98	0.67	9.7	5
6.6	0.17	0.38	1.5	0.032	28	112	3.25	0.55	11.4	7
6.3	0.48	0.04	1.1	0.046	30	99	3.24	0.36	9.6	6
6.2	0.66	0.48	1.2	0.029	29	75	3.33	0.39	12.8	8
7.4	0.34	0.42	1.1	0.033	17	171	3.12	0.53	11.3	6
6.5	0.31	0.14	7.5	0.044	34	133	3.22	0.5	9.5	5
6.2	0.66	0.48	1.2	0.029	29	75	3.33	0.39	12.8	8
6.4	0.31	0.38	2.9	0.038	19	102	3.17	0.35	11	7
6.8	0.26	0.42	1.7	0.049	41	122	3.47	0.48	10.5	8
7.6	0.67	0.14	1.5	0.074	25	168	3.05	0.51	9.3	5
6.6	0.27	0.41	1.3	0.052	16	142	3.42	0.47	10	6
7	0.25	0.32	9	0.046	56	245	3.25	0.5	10.4	6
6.9	0.24	0.35	1	0.052	35	146	3.45	0.44	10	6
7	0.28	0.39	8.7	0.051	32	141	3.38	0.53	10.5	6
7.4	0.27	0.48	1.1	0.047	17	132	3.19	0.49	11.6	6
7.2	0.32	0.36	2	0.033	37	114	3.1	0.71	12.3	7
8.5	0.24	0.39	10.4	0.044	20	142	3.2	0.53	10	6
8.3	0.14	0.34	1.1	0.042	7	47	3.47	0.4	10.2	6
7.4	0.25	0.36	2.05	0.05	31	100	3.19	0.44	10.8	6
6.2	0.12	0.34	1.5	0.045	43	117	3.42	0.51	9	6
5.8	0.27	0.2	14.95	0.044	22	179	3.37	0.37	10.2	5
7.3	0.28	0.43	1.7	0.08	21	123	3.19	0.42	12.8	5
6.5	0.39	0.23	5.4	0.051	25	149	3.24	0.35	10	5
7	0.33	0.32	1.2	0.053	38	138	3.13	0.28	11.2	6
7.3	0.24	0.39	17.95	0.057	45	149	3.21	0.36	8.6	5
7.3	0.24	0.39	17.95	0.057	45	149	3.21	0.36	8.6	5
6.7	0.23	0.39	2.5	0.172	63	158	3.11	0.36	9.4	6
6.7	0.24	0.39	2.9	0.173	63	157	3.1	0.34	9.4	6
7	0.31	0.26	7.4	0.069	28	160	3.13	0.46	9.8	6
6.6	0.24	0.27	1.4	0.057	33	152	3.22	0.56	9.5	6
6.7	0.23	0.26	1.4	0.06	33	154	3.24	0.56	9.5	6
7.4	0.18	0.31	1.4	0.058	38	167	3.16	0.53	10	7
6.2	0.45	0.26	4.4	0.063	63	206	3.27	0.52	9.8	4
6.2	0.46	0.25	4.4	0.066	62	207	3.25	0.52	9.8	5
7	0.31	0.26	7.4	0.069	28	160	3.13	0.46	9.8	6
6.9	0.19	0.35	5	0.067	32	150	3.36	0.48	9.8	5
7.2	0.19	0.31	1.6	0.062	31	173	3.35	0.44	11.7	6
6.6	0.25	0.29	1.1	0.068	39	124	3.34	0.58	11	7
6.2	0.16	0.33	1.1	0.057	21	82	3.32	0.46	10.9	7
6.4	0.18	0.35	1	0.045	39	108	3.31	0.35	10.9	6
6.8	0.2	0.59	0.9	0.147	38	132	3.05	0.38	9.1	6
6.9	0.25	0.35	1.3	0.039	29	191	3.13	0.52	11	6
7.2	0.21	0.34	11.9	0.043	37	213	3.09	0.5	9.6	6
6	0.19	0.26	12.4	0.048	50	147	3.3	0.36	8.9	6
6.6	0.38	0.15	4.6	0.044	25	78	3.11	0.38	10.2	6
7.4	0.2	0.36	1.2	0.038	44	111	3.36	0.34	9.9	6
6.8	0.22	0.24	4.9	0.092	30	123	3.03	0.46	8.6	6
6	0.19	0.26	12.4	0.048	50	147	3.3	0.36	8.9	6
7	0.47	0.07	1.1	0.035	17	151	3.02	0.34	10.5	5
6.6	0.38	0.15	4.6	0.044	25	78	3.11	0.38	10.2	6
7.2	0.24	0.27	1.4	0.038	31	122	3.15	0.46	10.3	6
6.2	0.35	0.03	1.2	0.064	29	120	3.22	0.54	9.1	5
6.4	0.26	0.24	6.4	0.04	27	124	3.22	0.49	12.6	7
6.7	0.25	0.13	1.2	0.041	81	174	3.14	0.42	9.8	5
6.7	0.23	0.31	2.1	0.046	30	96	3.33	0.64	10.7	8
7.4	0.24	0.29	10.1	0.05	21	105	3.13	0.35	9.5	5
6.2	0.27	0.43	7.8	0.056	48	244	3.1	0.51	9	6
6.8	0.3	0.23	4.6	0.061	50.5	238.5	3.32	0.6	9.5	5
6	0.27	0.28	4.8	0.063	31	201	3.69	0.71	10	5
8.6	0.23	0.46	1	0.054	9	72	2.95	0.49	9.1	6
6.7	0.23	0.31	2.1	0.046	30	96	3.33	0.64	10.7	8
7.4	0.24	0.29	10.1	0.05	21	105	3.13	0.35	9.5	5
7.1	0.18	0.36	1.4	0.043	31	87	3.26	0.37	12.7	7
7	0.32	0.34	1.3	0.042	20	69	3.31	0.65	12	7
7.4	0.18	0.3	8.8	0.064	26	103	2.94	0.56	9.3	5
6.7	0.54	0.28	5.4	0.06	21	105	3.27	0.37	9	5
6.8	0.22	0.31	1.4	0.053	34	114	3.39	0.77	10.6	6
7.1	0.2	0.34	16	0.05	51	166	3.21	0.6	9.2	6
7.1	0.34	0.2	6.1	0.063	47	164	3.17	0.42	10	5
7.3	0.22	0.3	8.2	0.047	42	207	3.33	0.46	9.5	6
7.1	0.43	0.61	11.8	0.045	54	155	3.11	0.45	8.7	5
7.1	0.44	0.62	11.8	0.044	52	152	3.12	0.46	8.7	6
7.2	0.39	0.63	11	0.044	55	156	3.09	0.44	8.7	6
6.8	0.25	0.31	13.3	0.05	69	202	3.22	0.48	9.7	6
7.1	0.43	0.61	11.8	0.045	54	155	3.11	0.45	8.7	5
7.1	0.44	0.62	11.8	0.044	52	152	3.12	0.46	8.7	6
7.2	0.39	0.63	11	0.044	55	156	3.09	0.44	8.7	6
6.1	0.27	0.43	7.5	0.049	65	243	3.12	0.47	9	5
6.9	0.24	0.33	1.7	0.035	47	136	3.26	0.4	12.6	7
6.9	0.21	0.33	1.8	0.034	48	136	3.25	0.41	12.6	7
7.5	0.17	0.32	1.7	0.04	51	148	3.21	0.44	11.5	7
7.1	0.26	0.29	12.4	0.044	62	240	3.04	0.42	9.2	6
6	0.34	0.66	15.9	0.046	26	164	3.14	0.5	8.8	6
8.6	0.265	0.36	1.2	0.034	15	80	2.95	0.36	11.4	7
9.8	0.36	0.46	10.5	0.038	4	83	2.89	0.3	10.1	4
6	0.34	0.66	15.9	0.046	26	164	3.14	0.5	8.8	6
7.4	0.25	0.37	13.5	0.06	52	192	3	0.44	9.1	5
7.1	0.12	0.32	9.6	0.054	64	162	3.4	0.41	9.4	5
6	0.21	0.24	12.1	0.05	55	164	3.34	0.39	9.4	5
7.5	0.305	0.4	18.9	0.059	44	170	2.99	0.46	9	5
7.4	0.25	0.37	13.5	0.06	52	192	3	0.44	9.1	5
7.3	0.13	0.32	14.4	0.051	34	109	3.2	0.35	9.2	6
7.1	0.12	0.32	9.6	0.054	64	162	3.4	0.41	9.4	5
7.1	0.23	0.35	16.5	0.04	60	171	3.16	0.59	9.1	6
7.1	0.23	0.35	16.5	0.04	60	171	3.16	0.59	9.1	6
6.9	0.33	0.28	1.3	0.051	37	187	3.27	0.6	10.3	5
6.5	0.17	0.54	8.5	0.082	64	163	2.89	0.39	8.8	6
7.2	0.27	0.46	18.75	0.052	45	255	3.04	0.52	8.9	5
7.2	0.31	0.5	13.3	0.056	68	195	3.01	0.47	9.2	5
6.7	0.41	0.34	9.2	0.049	29	150	3.22	0.51	9.1	5
6.7	0.41	0.34	9.2	0.049	29	150	3.22	0.51	9.1	5
5.5	0.485	0	1.5	0.065	8	103	3.63	0.4	9.7	4
6	0.31	0.24	3.3	0.041	25	143	3.31	0.44	11.3	6
7	0.14	0.4	1.7	0.035	16	85	3.19	0.42	11.8	6
7.2	0.31	0.5	13.3	0.056	68	195	3.01	0.47	9.2	5
7.3	0.32	0.48	13.3	0.06	57	196	3.04	0.5	9.2	5
5.9	0.36	0.04	5.7	0.046	21	87	3.22	0.51	10.2	5
7.8	0.24	0.32	12.2	0.054	42	138	3.01	0.54	8.8	5
7.4	0.16	0.31	6.85	0.059	31	131	3.29	0.34	9.7	5
6.9	0.19	0.28	5	0.058	14	146	3.29	0.36	9.1	6
6.4	0.13	0.47	1.6	0.092	40	158	3.21	0.36	9.8	6
6.7	0.19	0.36	1.1	0.026	63	143	3.27	0.48	11	6
7.4	0.39	0.23	7	0.033	29	126	3.14	0.42	10.5	5
6.5	0.24	0.32	7.6	0.038	48	203	3.45	0.54	9.7	7
6.1	0.3	0.56	2.8	0.044	47	179	3.3	0.57	10.9	7
6.1	0.3	0.56	2.7	0.046	46	184	3.31	0.57	10.9	6
5.7	0.26	0.25	10.4	0.02	7	57	3.39	0.37	10.6	5
6.5	0.24	0.32	7.6	0.038	48	203	3.45	0.54	9.7	7
6.5	0.425	0.4	13.1	0.038	59	241	3.23	0.57	9	5
6.6	0.24	0.27	15.8	0.035	46	188	3.24	0.51	9.2	5
6.8	0.27	0.22	8.1	0.034	55	203	3.19	0.52	8.9	5
6.7	0.27	0.31	15.7	0.036	44	179	3.26	0.56	9.6	5
8.2	0.23	0.4	1.2	0.027	36	121	3.12	0.38	10.7	6
7.1	0.37	0.67	10.5	0.045	49	155	3.16	0.44	8.7	5
6.8	0.19	0.36	1.9	0.035	30	96	3.15	0.54	10.8	7
8.1	0.28	0.39	1.9	0.029	18	79	3.23	0.52	11.8	6
6.3	0.31	0.34	2.2	0.045	20	77	3.3	0.43	10.2	5
7.1	0.37	0.67	10.5	0.045	49	155	3.16	0.44	8.7	5
7.9	0.21	0.4	1.2	0.039	38	107	3.21	0.54	10.8	6
8.5	0.21	0.41	4.3	0.036	24	99	3.18	0.53	9.7	6
8.1	0.2	0.4	2	0.037	19	87	3.12	0.54	11.2	6
6.3	0.255	0.37	1.1	0.04	37	114	3	0.39	10.9	6
5.6	0.16	0.27	1.4	0.044	53	168	3.28	0.37	10.1	6
6.4	0.595	0.14	5.2	0.058	15	97	3.38	0.36	9	4
6.3	0.34	0.33	4.6	0.034	19	80	3.38	0.58	12	7
6.9	0.25	0.3	4.1	0.054	23	116	2.99	0.38	9.4	6
7.9	0.22	0.38	8	0.043	46	152	3.12	0.32	11.5	7
7.6	0.18	0.46	10.2	0.055	58	135	3.14	0.43	9.9	6
6.9	0.25	0.3	4.1	0.054	23	116	2.99	0.38	9.4	6
7.2	0.18	0.41	1.2	0.048	41	97	3.14	0.45	10.4	5
8.2	0.23	0.4	7.5	0.049	12	76	3.06	0.84	9.7	6
7.4	0.24	0.42	14	0.066	48	198	2.89	0.42	8.9	6
7.4	0.24	0.42	14	0.066	48	198	2.89	0.42	8.9	6
6.1	0.32	0.24	1.5	0.036	38	124	3.29	0.42	12.4	7
5.2	0.44	0.04	1.4	0.036	43	119	3.36	0.33	12.1	8
5.2	0.44	0.04	1.4	0.036	43	119	3.36	0.33	12.1	8
6.1	0.32	0.24	1.5	0.036	38	124	3.29	0.42	12.4	7
6.4	0.22	0.56	14.5	0.055	27	159	2.98	0.4	9.1	5
6.3	0.36	0.3	4.8	0.049	14	85	3.28	0.39	10.6	5
7.4	0.24	0.42	14	0.066	48	198	2.89	0.42	8.9	6
6.7	0.24	0.35	13.1	0.05	64	205	3.15	0.5	9.5	5
7	0.23	0.36	13	0.051	72	177	3.16	0.49	9.8	5
8.4	0.27	0.46	8.7	0.048	39	197	3.14	0.59	9.6	6
6.7	0.46	0.18	2.4	0.034	25	98	3.08	0.44	12.6	7
7.5	0.29	0.31	8.95	0.055	20	151	3.08	0.54	9.3	5
9.8	0.42	0.48	9.85	0.034	5	110	2.87	0.29	10	5
7.1	0.3	0.46	1.5	0.066	29	133	3.12	0.54	12.7	6
7.9	0.19	0.45	1.5	0.045	17	96	3.13	0.39	11	6
7.6	0.48	0.37	0.8	0.037	4	100	3.03	0.39	11.4	4
6.3	0.22	0.43	4.55	0.038	31	130	3.35	0.33	11.5	7
7.5	0.27	0.31	17.7	0.051	33	173	3.09	0.64	10.2	5
6.9	0.23	0.4	7.5	0.04	50	151	3.11	0.27	11.4	6
7.2	0.32	0.47	5.1	0.044	19	65	3.03	0.41	12.6	4
5.9	0.23	0.3	12.9	0.054	57	170	3.28	0.39	9.4	5
6	0.67	0.07	1.2	0.06	9	108	3.11	0.35	8.7	4
6.4	0.25	0.32	5.5	0.049	41	176	3.19	0.68	9.2	6
6.4	0.33	0.31	5.5	0.048	42	173	3.19	0.66	9.3	6
7.1	0.34	0.15	1.2	0.053	61	183	3.09	0.43	9.2	5
6.8	0.28	0.4	22	0.048	48	167	2.93	0.5	8.7	5
6.9	0.27	0.4	14	0.05	64	227	3.18	0.58	9.6	6
6.8	0.26	0.56	11.9	0.043	64	226	3.02	0.63	9.3	5
6.8	0.29	0.56	11.9	0.043	66	230	3.02	0.63	9.3	5
6.7	0.24	0.41	9.4	0.04	49	166	3.12	0.61	9.9	6
5.9	0.3	0.23	4.2	0.038	42	119	3.15	0.5	11	5
6.8	0.53	0.35	3.8	0.034	26	109	3.26	0.57	12.7	8
6.5	0.28	0.28	8.5	0.047	54	210	3.09	0.54	8.9	4
6.6	0.28	0.28	8.5	0.052	55	211	3.09	0.55	8.9	6
6.8	0.28	0.4	22	0.048	48	167	2.93	0.5	8.7	5
6.8	0.28	0.36	8	0.045	28	123	3.02	0.37	11.4	6
6.6	0.15	0.34	5.1	0.055	34	125	3.36	0.42	9.6	5
6.4	0.29	0.44	3.6	0.2	75	181	3.02	0.41	9.1	5
6.4	0.3	0.45	3.5	0.197	76	180	3.02	0.39	9.1	6
6.4	0.29	0.44	3.6	0.197	75	183	3.01	0.38	9.1	5
6.8	0.26	0.24	7.8	0.052	54	214	3.13	0.47	8.9	5
7.1	0.32	0.24	13.1	0.05	52	204	3.1	0.49	8.8	5
6.8	0.26	0.24	7.8	0.052	54	214	3.13	0.47	8.9	5
6.8	0.27	0.26	16.1	0.049	55	196	3.15	0.5	9.3	5
7.1	0.32	0.24	13.1	0.05	52	204	3.1	0.49	8.8	5
6.9	0.54	0.32	13.2	0.05	53	236	3.2	0.5	9.6	5
6.8	0.26	0.34	13.9	0.034	39	134	3.33	0.53	12	6
5.8	0.28	0.35	2.3	0.053	36	114	3.28	0.5	10.2	4
6.4	0.21	0.5	11.6	0.042	45	153	3.15	0.43	8.8	5
7	0.16	0.32	8.3	0.045	38	126	3.21	0.34	9.2	5
10.2	0.44	0.88	6.2	0.049	20	124	2.99	0.51	9.9	4
6.8	0.57	0.29	2.2	0.04	15	77	3.32	0.74	10.2	5
6.1	0.4	0.31	0.9	0.048	23	170	3.22	0.77	9.5	6
5.6	0.245	0.25	9.7	0.032	12	68	3.31	0.34	10.5	5
6.8	0.18	0.38	1.4	0.038	35	111	3.32	0.59	11.2	7
7	0.16	0.32	8.3	0.045	38	126	3.21	0.34	9.2	5
6.7	0.13	0.29	5.3	0.051	31	122	3.44	0.37	9.7	6
6.2	0.25	0.25	1.4	0.03	35	105	3.3	0.44	11.1	7
5.8	0.26	0.24	9.2	0.044	55	152	3.31	0.38	9.4	5
7.5	0.27	0.36	7	0.036	45	164	3.03	0.33	11	5
5.8	0.26	0.24	9.2	0.044	55	152	3.31	0.38	9.4	5
5.7	0.28	0.24	17.5	0.044	60	167	3.31	0.44	9.4	5
7.5	0.23	0.36	7	0.036	43	161	3.04	0.32	11	5
7.5	0.27	0.36	7	0.036	45	164	3.03	0.33	11	5
7.2	0.685	0.21	9.5	0.07	33	172	3	0.55	9.1	6
6.2	0.25	0.25	1.4	0.03	35	105	3.3	0.44	11.1	7
6.5	0.19	0.3	0.8	0.043	33	144	3.42	0.39	9.1	6
6.3	0.495	0.22	1.8	0.046	31	140	3.39	0.54	10.4	6
7.1	0.24	0.41	17.8	0.046	39	145	3.32	0.39	8.7	5
6.4	0.17	0.32	2.4	0.048	41	200	3.5	0.5	9.7	6
7.1	0.25	0.32	10.3	0.041	66	272	3.17	0.52	9.1	6
6.4	0.17	0.32	2.4	0.048	41	200	3.5	0.5	9.7	6
7.1	0.24	0.41	17.8	0.046	39	145	3.32	0.39	8.7	5
6.8	0.64	0.08	9.7	0.062	26	142	3.37	0.46	8.9	4
8.3	0.28	0.4	7.8	0.041	38	194	3.34	0.51	9.6	6
8.2	0.27	0.39	7.8	0.039	49	208	3.31	0.51	9.5	6
7.2	0.23	0.38	14.3	0.058	55	194	3.09	0.44	9	6
7.2	0.23	0.38	14.3	0.058	55	194	3.09	0.44	9	6
7.2	0.23	0.38	14.3	0.058	55	194	3.09	0.44	9	6
7.2	0.23	0.38	14.3	0.058	55	194	3.09	0.44	9	6
6.8	0.52	0.32	13.2	0.044	54	221	3.27	0.5	9.6	6
7	0.26	0.59	1.4	0.037	40	120	3.34	0.41	11.1	7
6.2	0.25	0.21	15.55	0.039	28	159	3.48	0.64	9.6	6
7.3	0.32	0.23	13.7	0.05	49	197	3.2	0.46	8.7	5
7.7	0.31	0.26	7.8	0.031	23	90	3.13	0.5	10.4	5
7.1	0.21	0.37	2.4	0.026	23	100	3.15	0.38	11.4	7
6.8	0.24	0.34	2.7	0.047	64.5	218.5	3.3	0.58	9.7	6
6.9	0.4	0.56	11.2	0.043	40	142	3.14	0.46	8.7	5
6.1	0.18	0.36	2	0.038	20	249.5	3.37	0.79	11.3	6
6.8	0.21	0.27	2.1	0.03	26	139	3.16	0.61	12.6	7
5.8	0.2	0.27	1.4	0.031	12	77	3.25	0.36	10.9	7
5.6	0.19	0.26	1.4	0.03	12	76	3.25	0.37	10.9	7
6.1	0.41	0.14	10.4	0.037	18	119	3.38	0.45	10	5
5.9	0.21	0.28	4.6	0.053	40	199	3.72	0.7	10	4
8.5	0.26	0.21	16.2	0.074	41	197	3.02	0.5	9.8	3
6.9	0.4	0.56	11.2	0.043	40	142	3.14	0.46	8.7	5
5.8	0.24	0.44	3.5	0.029	5	109	3.53	0.43	11.7	3
5.8	0.24	0.39	1.5	0.054	37	158	3.21	0.52	9.3	6
6.7	0.26	0.39	1.1	0.04	45	147	3.32	0.58	9.6	8
6.3	0.35	0.3	5.7	0.035	8	97	3.27	0.41	11	7
6.3	0.35	0.3	5.7	0.035	8	97	3.27	0.41	11	7
6.4	0.23	0.39	1.8	0.032	23	118	3.32	0.5	11.8	6
5.8	0.36	0.38	0.9	0.037	3	75	3.28	0.34	11.4	4
6.9	0.115	0.35	5.4	0.048	36	108	3.32	0.42	10.2	6
6.9	0.29	0.4	19.45	0.043	36	156	2.93	0.47	8.9	5
6.9	0.28	0.4	8.2	0.036	15	95	3.17	0.33	10.2	5
7.2	0.29	0.4	13.6	0.045	66	231	3.08	0.59	9.6	6
6.2	0.24	0.35	1.2	0.038	22	167	3.1	0.48	10.6	6
6.9	0.29	0.4	19.45	0.043	36	156	2.93	0.47	8.9	5
6.9	0.32	0.26	8.3	0.053	32	180	3.25	0.51	9.2	6
5.3	0.58	0.07	6.9	0.043	34	149	3.34	0.57	9.7	5
5.3	0.585	0.07	7.1	0.044	34	145	3.34	0.57	9.7	6
5.4	0.59	0.07	7	0.045	36	147	3.34	0.57	9.7	6
6.9	0.32	0.26	8.3	0.053	32	180	3.25	0.51	9.2	6
5.2	0.6	0.07	7	0.044	33	147	3.33	0.58	9.7	5
5.8	0.25	0.26	13.1	0.051	44	148	3.29	0.38	9.3	5
6.6	0.58	0.3	5.1	0.057	30	123	3.24	0.38	9	5
7	0.29	0.54	10.7	0.046	59	234	3.05	0.61	9.5	5
6.6	0.19	0.41	8.9	0.046	51	169	3.14	0.57	9.8	6
6.7	0.2	0.41	9.1	0.044	50	166	3.14	0.58	9.8	6
7.7	0.26	0.4	1.1	0.042	9	60	2.89	0.5	10.6	5
6.8	0.32	0.34	1.2	0.044	14	67	3.05	0.47	10.6	4
7	0.3	0.49	4.7	0.036	17	105	3.26	0.68	12.4	7
7	0.24	0.36	2.8	0.034	22	112	3.19	0.38	12.6	8
6.1	0.31	0.58	5	0.039	36	114	3.3	0.6	12.3	8
6.8	0.44	0.37	5.1	0.047	46	201	3.08	0.65	10.5	4
6.7	0.34	0.3	15.6	0.054	51	196	3.19	0.49	9.3	5
7.1	0.35	0.24	15.4	0.055	46	198	3.12	0.49	8.8	5
7.3	0.32	0.25	7.2	0.056	47	180	3.08	0.47	8.8	5
6.5	0.28	0.33	15.7	0.053	51	190	3.22	0.51	9.7	6
7.2	0.23	0.39	14.2	0.058	49	192	2.98	0.48	9	7
7.2	0.23	0.39	14.2	0.058	49	192	2.98	0.48	9	7
7.2	0.23	0.39	14.2	0.058	49	192	2.98	0.48	9	7
7.2	0.23	0.39	14.2	0.058	49	192	2.98	0.48	9	7
5.9	0.15	0.31	5.8	0.041	53	155	3.52	0.46	10.5	6
7.4	0.28	0.42	19.8	0.066	53	195	2.96	0.44	9.1	5
6.2	0.28	0.22	7.3	0.041	26	157	3.44	0.64	9.8	7
9.1	0.59	0.38	1.6	0.066	34	182	3.23	0.38	8.5	3
6.3	0.33	0.27	1.2	0.046	34	175	3.37	0.54	9.4	6
8.3	0.39	0.7	10.6	0.045	33	169	3.09	0.57	9.4	5
7.2	0.19	0.46	3.8	0.041	82	187	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	13 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 & 13 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154781&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]13 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=154781&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154781&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	13 seconds
R Server	'Gwilym Jenkins' @ jenkins.wessa.net

Multiple Linear Regression - Estimated Regression Equation
alcohol[t] = + 10.5745270481007 -0.0222707310431585fixedAcidity[t] -0.0902579455417693volatileAcidity[t] + 0.469711775128441citricAcid[t] -0.0840534214123238residualSugar[t] -12.480736892535chlorides[t] -0.000462239369130119freeSulfurDioxide[t] -0.00484154992008051totSulfurDioxide[t] -0.0834722320718668pH[t] -0.0350952423154816sulphates[t] + 0.29652365355868quality[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
alcohol[t] =  +  10.5745270481007 -0.0222707310431585fixedAcidity[t] -0.0902579455417693volatileAcidity[t] +  0.469711775128441citricAcid[t] -0.0840534214123238residualSugar[t] -12.480736892535chlorides[t] -0.000462239369130119freeSulfurDioxide[t] -0.00484154992008051totSulfurDioxide[t] -0.0834722320718668pH[t] -0.0350952423154816sulphates[t] +  0.29652365355868quality[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154781&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]alcohol[t] =  +  10.5745270481007 -0.0222707310431585fixedAcidity[t] -0.0902579455417693volatileAcidity[t] +  0.469711775128441citricAcid[t] -0.0840534214123238residualSugar[t] -12.480736892535chlorides[t] -0.000462239369130119freeSulfurDioxide[t] -0.00484154992008051totSulfurDioxide[t] -0.0834722320718668pH[t] -0.0350952423154816sulphates[t] +  0.29652365355868quality[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=154781&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154781&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
alcohol[t] = + 10.5745270481007 -0.0222707310431585fixedAcidity[t] -0.0902579455417693volatileAcidity[t] + 0.469711775128441citricAcid[t] -0.0840534214123238residualSugar[t] -12.480736892535chlorides[t] -0.000462239369130119freeSulfurDioxide[t] -0.00484154992008051totSulfurDioxide[t] -0.0834722320718668pH[t] -0.0350952423154816sulphates[t] + 0.29652365355868quality[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)	10.5745270481007	1.646846	6.4211	0	0
fixedAcidity	-0.0222707310431585	0.074846	-0.2976	0.76626	0.38313
volatileAcidity	-0.0902579455417693	0.435197	-0.2074	0.835848	0.417924
citricAcid	0.469711775128441	0.407884	1.1516	0.250452	0.125226
residualSugar	-0.0840534214123238	0.010415	-8.0704	0	0
chlorides	-12.480736892535	2.289535	-5.4512	0	0
freeSulfurDioxide	-0.000462239369130119	0.00428	-0.108	0.914066	0.457033
totSulfurDioxide	-0.00484154992008051	0.001608	-3.0103	0.002841	0.001421
pH	-0.0834722320718668	0.382827	-0.218	0.827551	0.413776
sulphates	-0.0350952423154816	0.500332	-0.0701	0.944128	0.472064
quality	0.29652365355868	0.053887	5.5027	0	0

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Ordinary Least Squares \tabularnewline
Variable & Parameter & S.D. & T-STATH0: parameter = 0 & 2-tail p-value & 1-tail p-value \tabularnewline
(Intercept) & 10.5745270481007 & 1.646846 & 6.4211 & 0 & 0 \tabularnewline
fixedAcidity & -0.0222707310431585 & 0.074846 & -0.2976 & 0.76626 & 0.38313 \tabularnewline
volatileAcidity & -0.0902579455417693 & 0.435197 & -0.2074 & 0.835848 & 0.417924 \tabularnewline
citricAcid & 0.469711775128441 & 0.407884 & 1.1516 & 0.250452 & 0.125226 \tabularnewline
residualSugar & -0.0840534214123238 & 0.010415 & -8.0704 & 0 & 0 \tabularnewline
chlorides & -12.480736892535 & 2.289535 & -5.4512 & 0 & 0 \tabularnewline
freeSulfurDioxide & -0.000462239369130119 & 0.00428 & -0.108 & 0.914066 & 0.457033 \tabularnewline
totSulfurDioxide & -0.00484154992008051 & 0.001608 & -3.0103 & 0.002841 & 0.001421 \tabularnewline
pH & -0.0834722320718668 & 0.382827 & -0.218 & 0.827551 & 0.413776 \tabularnewline
sulphates & -0.0350952423154816 & 0.500332 & -0.0701 & 0.944128 & 0.472064 \tabularnewline
quality & 0.29652365355868 & 0.053887 & 5.5027 & 0 & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154781&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]10.5745270481007[/C][C]1.646846[/C][C]6.4211[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]fixedAcidity[/C][C]-0.0222707310431585[/C][C]0.074846[/C][C]-0.2976[/C][C]0.76626[/C][C]0.38313[/C][/ROW]
[ROW][C]volatileAcidity[/C][C]-0.0902579455417693[/C][C]0.435197[/C][C]-0.2074[/C][C]0.835848[/C][C]0.417924[/C][/ROW]
[ROW][C]citricAcid[/C][C]0.469711775128441[/C][C]0.407884[/C][C]1.1516[/C][C]0.250452[/C][C]0.125226[/C][/ROW]
[ROW][C]residualSugar[/C][C]-0.0840534214123238[/C][C]0.010415[/C][C]-8.0704[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]chlorides[/C][C]-12.480736892535[/C][C]2.289535[/C][C]-5.4512[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]freeSulfurDioxide[/C][C]-0.000462239369130119[/C][C]0.00428[/C][C]-0.108[/C][C]0.914066[/C][C]0.457033[/C][/ROW]
[ROW][C]totSulfurDioxide[/C][C]-0.00484154992008051[/C][C]0.001608[/C][C]-3.0103[/C][C]0.002841[/C][C]0.001421[/C][/ROW]
[ROW][C]pH[/C][C]-0.0834722320718668[/C][C]0.382827[/C][C]-0.218[/C][C]0.827551[/C][C]0.413776[/C][/ROW]
[ROW][C]sulphates[/C][C]-0.0350952423154816[/C][C]0.500332[/C][C]-0.0701[/C][C]0.944128[/C][C]0.472064[/C][/ROW]
[ROW][C]quality[/C][C]0.29652365355868[/C][C]0.053887[/C][C]5.5027[/C][C]0[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=154781&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154781&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)	10.5745270481007	1.646846	6.4211	0	0
fixedAcidity	-0.0222707310431585	0.074846	-0.2976	0.76626	0.38313
volatileAcidity	-0.0902579455417693	0.435197	-0.2074	0.835848	0.417924
citricAcid	0.469711775128441	0.407884	1.1516	0.250452	0.125226
residualSugar	-0.0840534214123238	0.010415	-8.0704	0	0
chlorides	-12.480736892535	2.289535	-5.4512	0	0
freeSulfurDioxide	-0.000462239369130119	0.00428	-0.108	0.914066	0.457033
totSulfurDioxide	-0.00484154992008051	0.001608	-3.0103	0.002841	0.001421
pH	-0.0834722320718668	0.382827	-0.218	0.827551	0.413776
sulphates	-0.0350952423154816	0.500332	-0.0701	0.944128	0.472064
quality	0.29652365355868	0.053887	5.5027	0	0

Multiple Linear Regression - Regression Statistics
Multiple R	0.728429829700059
R-squared	0.530610016796857
Adjusted R-squared	0.514254965117305
F-TEST (value)	32.4431880249119
F-TEST (DF numerator)	10
F-TEST (DF denominator)	287
p-value	0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	0.761940010903479
Sum Squared Residuals	166.618590521875

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.728429829700059 \tabularnewline
R-squared & 0.530610016796857 \tabularnewline
Adjusted R-squared & 0.514254965117305 \tabularnewline
F-TEST (value) & 32.4431880249119 \tabularnewline
F-TEST (DF numerator) & 10 \tabularnewline
F-TEST (DF denominator) & 287 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 0.761940010903479 \tabularnewline
Sum Squared Residuals & 166.618590521875 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154781&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.728429829700059[/C][/ROW]
[ROW][C]R-squared[/C][C]0.530610016796857[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.514254965117305[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]32.4431880249119[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]10[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]287[/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]0.761940010903479[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]166.618590521875[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=154781&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154781&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	0.728429829700059
R-squared	0.530610016796857
Adjusted R-squared	0.514254965117305
F-TEST (value)	32.4431880249119
F-TEST (DF numerator)	10
F-TEST (DF denominator)	287
p-value	0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	0.761940010903479
Sum Squared Residuals	166.618590521875

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	InterpolationForecast	ResidualsPrediction Error
1	8.8	8.93088764921938	-0.130887649219384
2	9.5	10.6617354265779	-1.16173542657794
3	10.1	10.3608241744363	-0.260824174436326
4	9.9	9.68196327201726	0.218036727982744
5	9.9	9.68196327201726	0.218036727982745
6	10.1	10.3608241744363	-0.260824174436328
7	9.6	10.1576002363004	-0.557600236300419
8	8.8	8.93088764921939	-0.130887649219387
9	9.5	10.6617354265779	-1.16173542657794
10	11	10.7580867195598	0.241913280440152
11	12	10.9318852108324	1.06811478916764
12	9.7	10.4266019526324	-0.726601952632411
13	10.8	10.7805961112976	0.0194038887024028
14	12.4	10.9731463256731	1.42685367432689
15	9.7	8.88439390948567	0.815606090514333
16	11.4	11.295105278362	0.104894721637983
17	9.6	10.7459904181076	-1.14599041810755
18	12.8	11.8435528135152	0.956447186484784
19	11.3	10.7363367746956	0.563663225304426
20	9.5	9.82464167929939	-0.324641679299394
21	12.8	11.8435528135152	0.956447186484784
22	11	11.1606365814142	-0.16063658141416
23	10.5	11.2985249950697	-0.798524995069661
24	9.3	9.74609467060319	-0.446094670603192
25	10	10.6197608446949	-0.619760844694945
26	10.4	9.49402493355653	0.905975066443472
27	10	10.5832206262778	-0.583220626277756
28	10.5	9.98972005051898	0.510279949481022
29	11.6	10.7804884212264	0.819511578773556
30	12.3	11.1973648066816	1.10263519331844
31	10	9.92012893790512	0.0798710620948776
32	10.2	11.1647628158791	-0.96476281587914
33	10.8	10.7588482144931	0.0411517855069183
34	9	10.7870369539926	-1.78703695399264
35	10.2	9.02070334863326	1.17929665136674
36	12.8	10.0436889610255	2.75631103897452
37	10	9.87913232744252	0.120867672557485
38	11.2	10.5991595979326	0.600840402067444
39	8.6	8.81316188553633	-0.213161885536329
40	8.6	8.81316188553633	-0.213161885536329
41	9.4	8.94374414063732	0.456255859362678
42	9.4	8.90311763281155	0.496882367188451
43	9.8	9.74375019913146	0.0562498008685406
44	9.5	10.4431622140693	-0.943162214069272
45	9.5	10.3883458475099	-0.888345847509886
46	10	10.6647192391855	-0.664719239185453
47	9.8	9.23024654879271	0.569753451207289
48	9.8	9.48101842855757	0.318981571442429
49	9.8	9.74375019913146	0.0562498008685406
50	9.8	9.75591434057976	0.0440856594202401
51	11.7	10.2664987443055	1.43350125569445
52	11	10.7581768331335	0.241823166866544
53	10.9	11.1488311964795	-0.24883119647952
54	10.9	10.8841112505646	0.0158887494354208
55	9.1	9.62641376872639	-0.52641376872639
56	11	10.5281587846905	0.471841215309488
57	9.6	9.47333033184155	0.12666966815845
58	8.9	9.66077037894076	-0.76077037894076
59	10.2	10.6449110179452	-0.444911017945222
60	9.9	10.9146284465408	-1.01462844654082
61	8.6	9.85657002145069	-1.25657002145069
62	8.9	9.66077037894076	-0.76077037894076
63	10.5	10.3594736032024	0.140526396797558
64	10.2	10.6449110179452	-0.444911017945222
65	10.3	10.8224573332188	-0.522457333218795
66	9.1	10.1198136386876	-1.01981363868756
67	12.6	10.6609424227225	1.93905757727751
68	9.8	10.1771412585258	-0.3771412585258
69	10.7	11.3926481580909	-0.692648158090886
70	9.5	9.74229882358523	-0.242298823585226
71	9	9.55847073877453	-0.558470738774534
72	9.5	9.36245228052819	0.137547719471808
73	10	9.52051662159762	0.479483378402377
74	9.1	10.9832440560424	-1.88324405604236
75	10.7	11.3926481580909	-0.692648158090886
76	9.5	9.74229882358523	-0.242298823585226
77	12.7	11.2699247853965	1.43007521460351
78	12	11.3492398418261	0.650760158173892
79	9.3	9.70281217561146	-0.402812175611461
80	9	9.98396952827782	-0.983969528277823
81	10.6	10.6711810226022	-0.0711810226022146
82	9.2	9.2520311013588	-0.0520311013588017
83	10	9.56817906950169	0.431820930498314
84	9.5	9.72059549660234	-0.220595496602341
85	8.7	9.54248019457263	-0.842480194572633
86	8.7	9.86954257707434	-1.16954257707434
87	8.7	9.92622141014901	-1.22622141014901
88	9.7	9.28781290894398	0.41218709105602
89	8.7	9.54248019457263	-0.842480194572633
90	8.7	9.86954257707434	-1.16954257707434
91	8.7	9.92622141014901	-1.22622141014901
92	9	9.37347318868766	-0.373473188687662
93	12.6	11.0838173370759	1.51618266292415
94	12.6	11.0906220007218	1.50937799927816
95	11.5	10.9524943978174	0.54750560218259
96	9.2	9.25775487023206	-0.0577548702320642
97	8.8	9.50312051542789	-0.703120515427893
98	11.4	11.4254981034881	-0.0254981034880594
99	10.1	9.71365320330528	0.386346796694716
100	8.8	9.50312051542789	-0.703120515427893
101	9.1	8.94053273928374	0.159467260716256
102	9.4	9.44551825723754	-0.0455182572375431
103	9.4	9.26429259156795	0.135707408432055
104	9	8.61636992436369	0.383630075636309
105	9.1	8.94053273928374	0.159467260716256
106	9.2	9.6599404608221	-0.459940460822099
107	9.4	9.44551825723754	-0.0455182572375431
108	9.1	9.3129577990672	-0.212957799067195
109	9.1	9.3129577990672	-0.212957799067195
110	10.3	10.0429403813711	0.25705961862894
111	8.8	9.63565736651875	-0.835657366518745
112	8.9	8.3360927410194	0.563907258980596
113	9.2	9.04355951212266	0.156440487877335
114	9.1	9.61946348847978	-0.519463488479776
115	9.1	9.61946348847978	-0.519463488479776
116	9.7	9.83760965180867	-0.137609651808671
117	11.3	10.5200763252757	0.779923674724311
118	11.8	11.0933618469919	0.706638153008115
119	9.2	9.04355951212266	0.156440487877335
120	9.2	8.97779873539895	0.222201264601047
121	10.2	10.1412241835917	0.0587758164082894
122	8.8	9.35491714958009	-0.554917149580088
123	9.7	9.77625338596664	-0.0762533859666361
124	9.1	10.1696257955598	-1.06962579555982
125	9.8	10.0734194094714	-0.273419409471418
126	11	10.9281817440844	0.071818255915648
127	10.5	10.06465370624	0.435346293759982
128	9.7	10.2090519726992	-0.50905197269917
129	10.9	10.7819750308311	0.118024969168925
130	10.9	10.4443150130766	0.455684986923434
131	10.6	10.3252325789417	0.274767421058334
132	9.7	10.2090519726992	-0.50905197269917
133	9	9.00283757366193	-0.00283757366193095
134	9.2	9.03062591236164	0.169374087638355
135	8.9	9.58670977685483	-0.686709776854825
136	9.6	9.08147839840668	0.518521601593315
137	10.7	11.0240926419199	-0.324092641919927
138	8.7	9.68383636331408	-0.983836363314079
139	10.8	11.2936266541108	-0.493626654110815
140	11.8	11.1308809570578	0.669119042942177
141	10.2	10.6294176122152	-0.429417612215161
142	8.7	9.68383636331408	-0.983836363314079
143	10.8	10.9365396579192	-0.136539657919211
144	9.7	10.7528098112578	-1.05280981125778
145	11.2	11.0038328751228	0.19616712487724
146	10.9	10.9393093170447	-0.0393093170447103
147	10.1	10.5498533363705	-0.449853336370466
148	9	9.69785025904752	-0.69785025904752
149	12	11.1246154823391	0.875384517660892
150	9.4	10.4646016892266	-1.06460168922661
151	11.5	10.3949460761852	1.10505392381483
152	9.9	9.88283408686952	0.017165913130479
153	9.4	10.4646016892266	-1.06460168922661
154	10.4	10.6067141493223	-0.206714149322303
155	9.7	10.4378078891085	-0.737807889108454
156	8.9	9.12721693732314	-0.227216937323144
157	8.9	9.12721693732314	-0.227216937323144
158	12.4	11.1155218554501	1.28447814454992
159	12.1	11.3549332689162	0.745066731083751
160	12.1	11.3549332689162	0.745066731083751
161	12.4	11.1155218554501	1.28447814454992
162	9.1	9.20750709494288	-0.107507094942877
163	10.6	10.3047686918789	0.295231308121054
164	8.9	9.12721693732314	-0.227216937323144
165	9.5	9.02294576171677	0.477054238283234
166	9.8	9.14917055777087	0.650829442229134
167	9.6	9.77333079150047	-0.17333079150047
168	12.6	11.1593706660642	1.44062933393582
169	9.3	9.55446729747697	-0.254467297476965
170	10	9.98954959697546	0.010450403024535
171	12.7	10.4980121689271	2.20198783107291
172	11	10.9366360985933	0.0633639014067479
173	11.4	10.4401916900259	0.959808309974087
174	11.5	10.9003509459249	0.59964905407512
175	10.2	8.75386051000738	1.44613948999262
176	11.4	10.2142358079806	1.18576419201938
177	12.6	10.2235363127415	2.37646368725848
178	9.4	9.1507660832347	0.249233916765298
179	8.7	9.95076643533084	-1.25076643533084
180	9.2	10.103823861778	-0.903823861777986
181	9.3	10.1191511605133	-0.819151160513314
182	9.2	9.98922864108424	-0.789228641084244
183	8.7	8.52721860068754	0.172781399312459
184	9.6	9.14831915559673	0.451680844403274
185	9.3	9.21039872676776	0.089601273232241
186	9.3	9.18740030998292	0.112599690017076
187	9.9	9.97785487766165	-0.077854877661645
188	11	10.3033683093313	0.696631690668738
189	12.7	11.3362187303612	1.36378126963877
190	8.9	9.10249322978294	-0.202493229782941
191	8.9	9.62525503762095	-0.725255037620945
192	8.7	8.52721860068754	0.172781399312459
193	11.4	10.2384667581719	1.16153324182809
194	9.6	10.025092244335	-0.425092244334964
195	9.1	8.11890764005025	0.98109235994975
196	9.1	8.47015460012089	0.629845399879105
197	9.1	8.14855433047788	0.951445669522123
198	8.9	9.35153764045921	-0.45153764045921
199	8.8	8.97006152476842	-0.170061524768421
200	8.9	9.35153764045921	-0.45153764045921
201	9.3	8.7837914667431	0.516208533256905
202	8.8	8.97006152476842	-0.170061524768421
203	9.6	8.81974051038486	0.78025948961514
204	12	9.78241728817128	2.21758271182872
205	10.2	10.0558625437444	0.144137456255622
206	8.8	9.59171732374374	-0.79171732374374
207	9.2	9.87036150416504	-0.670361504165045
208	9.9	9.89732822633091	0.00267177366908985
209	10.2	10.6234955036454	-0.423495503645388
210	9.5	10.5231026162919	-1.02310261629188
211	10.5	10.190044463376	0.309955536624007
212	11.2	11.2176284818825	-0.0176284818825105
213	9.2	9.87036150416504	-0.670361504165045
214	9.7	10.3418090096491	-0.641809009649074
215	11.1	11.2994392592033	-0.199439259203307
216	9.4	9.64382690237671	-0.243826902376714
217	11	9.91784369715696	1.08215630284304
218	9.4	9.64382690237671	-0.243826902376714
219	9.4	8.86956525866212	0.53043474133788
220	11	9.93641937357957	1.06358062642043
221	11	9.91784369715696	1.08215630284304
222	9.1	9.44025383520416	-0.340253835204161
223	11.1	11.2994392592033	-0.199439259203307
224	9.1	10.7171600511873	-1.61716005118732
225	10.4	10.5525435089389	-0.15254350893892
226	8.7	8.988811219375	-0.288811219374996
227	9.7	10.2483343942846	-0.548334394284642
228	9.1	9.31556372926483	-0.215563729264832
229	9.7	10.2483343942846	-0.548334394284642
230	8.7	8.988811219375	-0.288811219374996
231	8.9	9.00290512727269	-0.102905127272689
232	9.6	9.91058587826073	-0.310585878260734
233	9.5	9.86361772187485	-0.363617721874851
234	9	9.18714923353437	-0.187149233534367
235	9	9.18714923353437	-0.187149233534367
236	9	9.18714923353437	-0.187149233534367
237	9	9.18714923353437	-0.187149233534367
238	9.6	9.26149877050095	0.338501229499052
239	11.1	11.275836462549	-0.175836462549019
240	9.6	9.40219251928582	0.197807480714178
241	8.7	8.93846140957134	-0.238461409571344
242	10.4	10.2120995487526	0.187900451247365
243	11.4	11.349622029639	0.0503779703609641
244	9.7	10.1432225199839	-0.443222519983949
245	8.7	9.66810639776712	-0.968106397767117
246	11.3	10.2020543182432	1.09794568175681
247	12.6	11.0855113572489	1.51448864275111
248	10.9	11.4629500817488	-0.562950081748771
249	10.9	11.480581024051	-0.580581024050996
250	10	9.73171114708597	0.268288852914029
251	10	9.37662330206257	0.623376697937432
252	9.8	7.82235833451384	1.97764166548616
253	8.7	9.66810639776712	-0.968106397767117
254	11.7	10.0240226264825	1.67597737351747
255	9.3	10.5177213554719	-1.21772135547192
256	9.6	11.335543004901	-1.73554300490103
257	11	10.9426084703243	0.057391529675654
258	11	10.9426084703243	0.057391529675654
259	11.8	10.946274988803	0.85372501119704
260	11.4	10.5897894264476	0.810210573552387
261	10.2	10.469660715436	-0.269660715435974
262	8.9	8.86068563601182	0.0393143639881807
263	10.2	10.1844759347072	0.0155240652928105
264	9.6	9.223563422766	0.376436577234003
265	10.6	10.6888778052305	-0.0888778052305268
266	8.9	8.86068563601182	0.0393143639881807
267	9.2	9.7586670179473	-0.558667017947298
268	9.7	9.76709174320385	-0.0670917432038497
269	9.7	10.0532388855401	-0.353238885540144
270	9.7	10.0358775493784	-0.335877549378395
271	9.2	9.7586670179473	-0.558667017947298
272	9.7	9.75725668747042	-0.0572566874704178
273	9.3	9.26507049296108	0.0349295070389166
274	9	9.96548391781972	-0.96548391781972
275	9.5	9.21904103707665	0.28095896292335
276	9.8	9.93602237394668	-0.136022373946681
277	9.8	9.95567944759577	-0.15567944759577
278	10.6	10.8799930966599	-0.279993096659876
279	10.6	10.4880433557253	0.111956644274725
280	12.4	11.0408162308781	1.35918376912186
281	12.6	11.4465253875246	1.15347461247542
282	12.3	11.2832090183887	1.01679098161133
283	10.5	9.45367254164655	1.04632745835345
284	9.3	8.77697300152491	0.523026998475087
285	8.8	8.74178052378497	0.0582194762150252
286	8.8	9.51221500570391	-0.712215005703905
287	9.7	9.12737625374191	0.572623746258094
288	9	9.51701001887579	-0.517010018875792
289	9	9.51701001887579	-0.517010018875792
290	9	9.51701001887579	-0.517010018875792
291	9	9.51701001887579	-0.517010018875792
292	10.5	10.2702185654369	0.229781434563141
293	9.1	8.34524161357457	0.754758386425435
294	9.8	10.3831312729574	-0.58313127295743
295	8.5	9.24862880811909	-0.748628808119086
296	9.4	10.4721821908884	-1.07218219088836
297	9.4	9.60188714403305	-0.201887144033046
298	11.2	10.6270415234239	0.572958476576124

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 8.8 & 8.93088764921938 & -0.130887649219384 \tabularnewline
2 & 9.5 & 10.6617354265779 & -1.16173542657794 \tabularnewline
3 & 10.1 & 10.3608241744363 & -0.260824174436326 \tabularnewline
4 & 9.9 & 9.68196327201726 & 0.218036727982744 \tabularnewline
5 & 9.9 & 9.68196327201726 & 0.218036727982745 \tabularnewline
6 & 10.1 & 10.3608241744363 & -0.260824174436328 \tabularnewline
7 & 9.6 & 10.1576002363004 & -0.557600236300419 \tabularnewline
8 & 8.8 & 8.93088764921939 & -0.130887649219387 \tabularnewline
9 & 9.5 & 10.6617354265779 & -1.16173542657794 \tabularnewline
10 & 11 & 10.7580867195598 & 0.241913280440152 \tabularnewline
11 & 12 & 10.9318852108324 & 1.06811478916764 \tabularnewline
12 & 9.7 & 10.4266019526324 & -0.726601952632411 \tabularnewline
13 & 10.8 & 10.7805961112976 & 0.0194038887024028 \tabularnewline
14 & 12.4 & 10.9731463256731 & 1.42685367432689 \tabularnewline
15 & 9.7 & 8.88439390948567 & 0.815606090514333 \tabularnewline
16 & 11.4 & 11.295105278362 & 0.104894721637983 \tabularnewline
17 & 9.6 & 10.7459904181076 & -1.14599041810755 \tabularnewline
18 & 12.8 & 11.8435528135152 & 0.956447186484784 \tabularnewline
19 & 11.3 & 10.7363367746956 & 0.563663225304426 \tabularnewline
20 & 9.5 & 9.82464167929939 & -0.324641679299394 \tabularnewline
21 & 12.8 & 11.8435528135152 & 0.956447186484784 \tabularnewline
22 & 11 & 11.1606365814142 & -0.16063658141416 \tabularnewline
23 & 10.5 & 11.2985249950697 & -0.798524995069661 \tabularnewline
24 & 9.3 & 9.74609467060319 & -0.446094670603192 \tabularnewline
25 & 10 & 10.6197608446949 & -0.619760844694945 \tabularnewline
26 & 10.4 & 9.49402493355653 & 0.905975066443472 \tabularnewline
27 & 10 & 10.5832206262778 & -0.583220626277756 \tabularnewline
28 & 10.5 & 9.98972005051898 & 0.510279949481022 \tabularnewline
29 & 11.6 & 10.7804884212264 & 0.819511578773556 \tabularnewline
30 & 12.3 & 11.1973648066816 & 1.10263519331844 \tabularnewline
31 & 10 & 9.92012893790512 & 0.0798710620948776 \tabularnewline
32 & 10.2 & 11.1647628158791 & -0.96476281587914 \tabularnewline
33 & 10.8 & 10.7588482144931 & 0.0411517855069183 \tabularnewline
34 & 9 & 10.7870369539926 & -1.78703695399264 \tabularnewline
35 & 10.2 & 9.02070334863326 & 1.17929665136674 \tabularnewline
36 & 12.8 & 10.0436889610255 & 2.75631103897452 \tabularnewline
37 & 10 & 9.87913232744252 & 0.120867672557485 \tabularnewline
38 & 11.2 & 10.5991595979326 & 0.600840402067444 \tabularnewline
39 & 8.6 & 8.81316188553633 & -0.213161885536329 \tabularnewline
40 & 8.6 & 8.81316188553633 & -0.213161885536329 \tabularnewline
41 & 9.4 & 8.94374414063732 & 0.456255859362678 \tabularnewline
42 & 9.4 & 8.90311763281155 & 0.496882367188451 \tabularnewline
43 & 9.8 & 9.74375019913146 & 0.0562498008685406 \tabularnewline
44 & 9.5 & 10.4431622140693 & -0.943162214069272 \tabularnewline
45 & 9.5 & 10.3883458475099 & -0.888345847509886 \tabularnewline
46 & 10 & 10.6647192391855 & -0.664719239185453 \tabularnewline
47 & 9.8 & 9.23024654879271 & 0.569753451207289 \tabularnewline
48 & 9.8 & 9.48101842855757 & 0.318981571442429 \tabularnewline
49 & 9.8 & 9.74375019913146 & 0.0562498008685406 \tabularnewline
50 & 9.8 & 9.75591434057976 & 0.0440856594202401 \tabularnewline
51 & 11.7 & 10.2664987443055 & 1.43350125569445 \tabularnewline
52 & 11 & 10.7581768331335 & 0.241823166866544 \tabularnewline
53 & 10.9 & 11.1488311964795 & -0.24883119647952 \tabularnewline
54 & 10.9 & 10.8841112505646 & 0.0158887494354208 \tabularnewline
55 & 9.1 & 9.62641376872639 & -0.52641376872639 \tabularnewline
56 & 11 & 10.5281587846905 & 0.471841215309488 \tabularnewline
57 & 9.6 & 9.47333033184155 & 0.12666966815845 \tabularnewline
58 & 8.9 & 9.66077037894076 & -0.76077037894076 \tabularnewline
59 & 10.2 & 10.6449110179452 & -0.444911017945222 \tabularnewline
60 & 9.9 & 10.9146284465408 & -1.01462844654082 \tabularnewline
61 & 8.6 & 9.85657002145069 & -1.25657002145069 \tabularnewline
62 & 8.9 & 9.66077037894076 & -0.76077037894076 \tabularnewline
63 & 10.5 & 10.3594736032024 & 0.140526396797558 \tabularnewline
64 & 10.2 & 10.6449110179452 & -0.444911017945222 \tabularnewline
65 & 10.3 & 10.8224573332188 & -0.522457333218795 \tabularnewline
66 & 9.1 & 10.1198136386876 & -1.01981363868756 \tabularnewline
67 & 12.6 & 10.6609424227225 & 1.93905757727751 \tabularnewline
68 & 9.8 & 10.1771412585258 & -0.3771412585258 \tabularnewline
69 & 10.7 & 11.3926481580909 & -0.692648158090886 \tabularnewline
70 & 9.5 & 9.74229882358523 & -0.242298823585226 \tabularnewline
71 & 9 & 9.55847073877453 & -0.558470738774534 \tabularnewline
72 & 9.5 & 9.36245228052819 & 0.137547719471808 \tabularnewline
73 & 10 & 9.52051662159762 & 0.479483378402377 \tabularnewline
74 & 9.1 & 10.9832440560424 & -1.88324405604236 \tabularnewline
75 & 10.7 & 11.3926481580909 & -0.692648158090886 \tabularnewline
76 & 9.5 & 9.74229882358523 & -0.242298823585226 \tabularnewline
77 & 12.7 & 11.2699247853965 & 1.43007521460351 \tabularnewline
78 & 12 & 11.3492398418261 & 0.650760158173892 \tabularnewline
79 & 9.3 & 9.70281217561146 & -0.402812175611461 \tabularnewline
80 & 9 & 9.98396952827782 & -0.983969528277823 \tabularnewline
81 & 10.6 & 10.6711810226022 & -0.0711810226022146 \tabularnewline
82 & 9.2 & 9.2520311013588 & -0.0520311013588017 \tabularnewline
83 & 10 & 9.56817906950169 & 0.431820930498314 \tabularnewline
84 & 9.5 & 9.72059549660234 & -0.220595496602341 \tabularnewline
85 & 8.7 & 9.54248019457263 & -0.842480194572633 \tabularnewline
86 & 8.7 & 9.86954257707434 & -1.16954257707434 \tabularnewline
87 & 8.7 & 9.92622141014901 & -1.22622141014901 \tabularnewline
88 & 9.7 & 9.28781290894398 & 0.41218709105602 \tabularnewline
89 & 8.7 & 9.54248019457263 & -0.842480194572633 \tabularnewline
90 & 8.7 & 9.86954257707434 & -1.16954257707434 \tabularnewline
91 & 8.7 & 9.92622141014901 & -1.22622141014901 \tabularnewline
92 & 9 & 9.37347318868766 & -0.373473188687662 \tabularnewline
93 & 12.6 & 11.0838173370759 & 1.51618266292415 \tabularnewline
94 & 12.6 & 11.0906220007218 & 1.50937799927816 \tabularnewline
95 & 11.5 & 10.9524943978174 & 0.54750560218259 \tabularnewline
96 & 9.2 & 9.25775487023206 & -0.0577548702320642 \tabularnewline
97 & 8.8 & 9.50312051542789 & -0.703120515427893 \tabularnewline
98 & 11.4 & 11.4254981034881 & -0.0254981034880594 \tabularnewline
99 & 10.1 & 9.71365320330528 & 0.386346796694716 \tabularnewline
100 & 8.8 & 9.50312051542789 & -0.703120515427893 \tabularnewline
101 & 9.1 & 8.94053273928374 & 0.159467260716256 \tabularnewline
102 & 9.4 & 9.44551825723754 & -0.0455182572375431 \tabularnewline
103 & 9.4 & 9.26429259156795 & 0.135707408432055 \tabularnewline
104 & 9 & 8.61636992436369 & 0.383630075636309 \tabularnewline
105 & 9.1 & 8.94053273928374 & 0.159467260716256 \tabularnewline
106 & 9.2 & 9.6599404608221 & -0.459940460822099 \tabularnewline
107 & 9.4 & 9.44551825723754 & -0.0455182572375431 \tabularnewline
108 & 9.1 & 9.3129577990672 & -0.212957799067195 \tabularnewline
109 & 9.1 & 9.3129577990672 & -0.212957799067195 \tabularnewline
110 & 10.3 & 10.0429403813711 & 0.25705961862894 \tabularnewline
111 & 8.8 & 9.63565736651875 & -0.835657366518745 \tabularnewline
112 & 8.9 & 8.3360927410194 & 0.563907258980596 \tabularnewline
113 & 9.2 & 9.04355951212266 & 0.156440487877335 \tabularnewline
114 & 9.1 & 9.61946348847978 & -0.519463488479776 \tabularnewline
115 & 9.1 & 9.61946348847978 & -0.519463488479776 \tabularnewline
116 & 9.7 & 9.83760965180867 & -0.137609651808671 \tabularnewline
117 & 11.3 & 10.5200763252757 & 0.779923674724311 \tabularnewline
118 & 11.8 & 11.0933618469919 & 0.706638153008115 \tabularnewline
119 & 9.2 & 9.04355951212266 & 0.156440487877335 \tabularnewline
120 & 9.2 & 8.97779873539895 & 0.222201264601047 \tabularnewline
121 & 10.2 & 10.1412241835917 & 0.0587758164082894 \tabularnewline
122 & 8.8 & 9.35491714958009 & -0.554917149580088 \tabularnewline
123 & 9.7 & 9.77625338596664 & -0.0762533859666361 \tabularnewline
124 & 9.1 & 10.1696257955598 & -1.06962579555982 \tabularnewline
125 & 9.8 & 10.0734194094714 & -0.273419409471418 \tabularnewline
126 & 11 & 10.9281817440844 & 0.071818255915648 \tabularnewline
127 & 10.5 & 10.06465370624 & 0.435346293759982 \tabularnewline
128 & 9.7 & 10.2090519726992 & -0.50905197269917 \tabularnewline
129 & 10.9 & 10.7819750308311 & 0.118024969168925 \tabularnewline
130 & 10.9 & 10.4443150130766 & 0.455684986923434 \tabularnewline
131 & 10.6 & 10.3252325789417 & 0.274767421058334 \tabularnewline
132 & 9.7 & 10.2090519726992 & -0.50905197269917 \tabularnewline
133 & 9 & 9.00283757366193 & -0.00283757366193095 \tabularnewline
134 & 9.2 & 9.03062591236164 & 0.169374087638355 \tabularnewline
135 & 8.9 & 9.58670977685483 & -0.686709776854825 \tabularnewline
136 & 9.6 & 9.08147839840668 & 0.518521601593315 \tabularnewline
137 & 10.7 & 11.0240926419199 & -0.324092641919927 \tabularnewline
138 & 8.7 & 9.68383636331408 & -0.983836363314079 \tabularnewline
139 & 10.8 & 11.2936266541108 & -0.493626654110815 \tabularnewline
140 & 11.8 & 11.1308809570578 & 0.669119042942177 \tabularnewline
141 & 10.2 & 10.6294176122152 & -0.429417612215161 \tabularnewline
142 & 8.7 & 9.68383636331408 & -0.983836363314079 \tabularnewline
143 & 10.8 & 10.9365396579192 & -0.136539657919211 \tabularnewline
144 & 9.7 & 10.7528098112578 & -1.05280981125778 \tabularnewline
145 & 11.2 & 11.0038328751228 & 0.19616712487724 \tabularnewline
146 & 10.9 & 10.9393093170447 & -0.0393093170447103 \tabularnewline
147 & 10.1 & 10.5498533363705 & -0.449853336370466 \tabularnewline
148 & 9 & 9.69785025904752 & -0.69785025904752 \tabularnewline
149 & 12 & 11.1246154823391 & 0.875384517660892 \tabularnewline
150 & 9.4 & 10.4646016892266 & -1.06460168922661 \tabularnewline
151 & 11.5 & 10.3949460761852 & 1.10505392381483 \tabularnewline
152 & 9.9 & 9.88283408686952 & 0.017165913130479 \tabularnewline
153 & 9.4 & 10.4646016892266 & -1.06460168922661 \tabularnewline
154 & 10.4 & 10.6067141493223 & -0.206714149322303 \tabularnewline
155 & 9.7 & 10.4378078891085 & -0.737807889108454 \tabularnewline
156 & 8.9 & 9.12721693732314 & -0.227216937323144 \tabularnewline
157 & 8.9 & 9.12721693732314 & -0.227216937323144 \tabularnewline
158 & 12.4 & 11.1155218554501 & 1.28447814454992 \tabularnewline
159 & 12.1 & 11.3549332689162 & 0.745066731083751 \tabularnewline
160 & 12.1 & 11.3549332689162 & 0.745066731083751 \tabularnewline
161 & 12.4 & 11.1155218554501 & 1.28447814454992 \tabularnewline
162 & 9.1 & 9.20750709494288 & -0.107507094942877 \tabularnewline
163 & 10.6 & 10.3047686918789 & 0.295231308121054 \tabularnewline
164 & 8.9 & 9.12721693732314 & -0.227216937323144 \tabularnewline
165 & 9.5 & 9.02294576171677 & 0.477054238283234 \tabularnewline
166 & 9.8 & 9.14917055777087 & 0.650829442229134 \tabularnewline
167 & 9.6 & 9.77333079150047 & -0.17333079150047 \tabularnewline
168 & 12.6 & 11.1593706660642 & 1.44062933393582 \tabularnewline
169 & 9.3 & 9.55446729747697 & -0.254467297476965 \tabularnewline
170 & 10 & 9.98954959697546 & 0.010450403024535 \tabularnewline
171 & 12.7 & 10.4980121689271 & 2.20198783107291 \tabularnewline
172 & 11 & 10.9366360985933 & 0.0633639014067479 \tabularnewline
173 & 11.4 & 10.4401916900259 & 0.959808309974087 \tabularnewline
174 & 11.5 & 10.9003509459249 & 0.59964905407512 \tabularnewline
175 & 10.2 & 8.75386051000738 & 1.44613948999262 \tabularnewline
176 & 11.4 & 10.2142358079806 & 1.18576419201938 \tabularnewline
177 & 12.6 & 10.2235363127415 & 2.37646368725848 \tabularnewline
178 & 9.4 & 9.1507660832347 & 0.249233916765298 \tabularnewline
179 & 8.7 & 9.95076643533084 & -1.25076643533084 \tabularnewline
180 & 9.2 & 10.103823861778 & -0.903823861777986 \tabularnewline
181 & 9.3 & 10.1191511605133 & -0.819151160513314 \tabularnewline
182 & 9.2 & 9.98922864108424 & -0.789228641084244 \tabularnewline
183 & 8.7 & 8.52721860068754 & 0.172781399312459 \tabularnewline
184 & 9.6 & 9.14831915559673 & 0.451680844403274 \tabularnewline
185 & 9.3 & 9.21039872676776 & 0.089601273232241 \tabularnewline
186 & 9.3 & 9.18740030998292 & 0.112599690017076 \tabularnewline
187 & 9.9 & 9.97785487766165 & -0.077854877661645 \tabularnewline
188 & 11 & 10.3033683093313 & 0.696631690668738 \tabularnewline
189 & 12.7 & 11.3362187303612 & 1.36378126963877 \tabularnewline
190 & 8.9 & 9.10249322978294 & -0.202493229782941 \tabularnewline
191 & 8.9 & 9.62525503762095 & -0.725255037620945 \tabularnewline
192 & 8.7 & 8.52721860068754 & 0.172781399312459 \tabularnewline
193 & 11.4 & 10.2384667581719 & 1.16153324182809 \tabularnewline
194 & 9.6 & 10.025092244335 & -0.425092244334964 \tabularnewline
195 & 9.1 & 8.11890764005025 & 0.98109235994975 \tabularnewline
196 & 9.1 & 8.47015460012089 & 0.629845399879105 \tabularnewline
197 & 9.1 & 8.14855433047788 & 0.951445669522123 \tabularnewline
198 & 8.9 & 9.35153764045921 & -0.45153764045921 \tabularnewline
199 & 8.8 & 8.97006152476842 & -0.170061524768421 \tabularnewline
200 & 8.9 & 9.35153764045921 & -0.45153764045921 \tabularnewline
201 & 9.3 & 8.7837914667431 & 0.516208533256905 \tabularnewline
202 & 8.8 & 8.97006152476842 & -0.170061524768421 \tabularnewline
203 & 9.6 & 8.81974051038486 & 0.78025948961514 \tabularnewline
204 & 12 & 9.78241728817128 & 2.21758271182872 \tabularnewline
205 & 10.2 & 10.0558625437444 & 0.144137456255622 \tabularnewline
206 & 8.8 & 9.59171732374374 & -0.79171732374374 \tabularnewline
207 & 9.2 & 9.87036150416504 & -0.670361504165045 \tabularnewline
208 & 9.9 & 9.89732822633091 & 0.00267177366908985 \tabularnewline
209 & 10.2 & 10.6234955036454 & -0.423495503645388 \tabularnewline
210 & 9.5 & 10.5231026162919 & -1.02310261629188 \tabularnewline
211 & 10.5 & 10.190044463376 & 0.309955536624007 \tabularnewline
212 & 11.2 & 11.2176284818825 & -0.0176284818825105 \tabularnewline
213 & 9.2 & 9.87036150416504 & -0.670361504165045 \tabularnewline
214 & 9.7 & 10.3418090096491 & -0.641809009649074 \tabularnewline
215 & 11.1 & 11.2994392592033 & -0.199439259203307 \tabularnewline
216 & 9.4 & 9.64382690237671 & -0.243826902376714 \tabularnewline
217 & 11 & 9.91784369715696 & 1.08215630284304 \tabularnewline
218 & 9.4 & 9.64382690237671 & -0.243826902376714 \tabularnewline
219 & 9.4 & 8.86956525866212 & 0.53043474133788 \tabularnewline
220 & 11 & 9.93641937357957 & 1.06358062642043 \tabularnewline
221 & 11 & 9.91784369715696 & 1.08215630284304 \tabularnewline
222 & 9.1 & 9.44025383520416 & -0.340253835204161 \tabularnewline
223 & 11.1 & 11.2994392592033 & -0.199439259203307 \tabularnewline
224 & 9.1 & 10.7171600511873 & -1.61716005118732 \tabularnewline
225 & 10.4 & 10.5525435089389 & -0.15254350893892 \tabularnewline
226 & 8.7 & 8.988811219375 & -0.288811219374996 \tabularnewline
227 & 9.7 & 10.2483343942846 & -0.548334394284642 \tabularnewline
228 & 9.1 & 9.31556372926483 & -0.215563729264832 \tabularnewline
229 & 9.7 & 10.2483343942846 & -0.548334394284642 \tabularnewline
230 & 8.7 & 8.988811219375 & -0.288811219374996 \tabularnewline
231 & 8.9 & 9.00290512727269 & -0.102905127272689 \tabularnewline
232 & 9.6 & 9.91058587826073 & -0.310585878260734 \tabularnewline
233 & 9.5 & 9.86361772187485 & -0.363617721874851 \tabularnewline
234 & 9 & 9.18714923353437 & -0.187149233534367 \tabularnewline
235 & 9 & 9.18714923353437 & -0.187149233534367 \tabularnewline
236 & 9 & 9.18714923353437 & -0.187149233534367 \tabularnewline
237 & 9 & 9.18714923353437 & -0.187149233534367 \tabularnewline
238 & 9.6 & 9.26149877050095 & 0.338501229499052 \tabularnewline
239 & 11.1 & 11.275836462549 & -0.175836462549019 \tabularnewline
240 & 9.6 & 9.40219251928582 & 0.197807480714178 \tabularnewline
241 & 8.7 & 8.93846140957134 & -0.238461409571344 \tabularnewline
242 & 10.4 & 10.2120995487526 & 0.187900451247365 \tabularnewline
243 & 11.4 & 11.349622029639 & 0.0503779703609641 \tabularnewline
244 & 9.7 & 10.1432225199839 & -0.443222519983949 \tabularnewline
245 & 8.7 & 9.66810639776712 & -0.968106397767117 \tabularnewline
246 & 11.3 & 10.2020543182432 & 1.09794568175681 \tabularnewline
247 & 12.6 & 11.0855113572489 & 1.51448864275111 \tabularnewline
248 & 10.9 & 11.4629500817488 & -0.562950081748771 \tabularnewline
249 & 10.9 & 11.480581024051 & -0.580581024050996 \tabularnewline
250 & 10 & 9.73171114708597 & 0.268288852914029 \tabularnewline
251 & 10 & 9.37662330206257 & 0.623376697937432 \tabularnewline
252 & 9.8 & 7.82235833451384 & 1.97764166548616 \tabularnewline
253 & 8.7 & 9.66810639776712 & -0.968106397767117 \tabularnewline
254 & 11.7 & 10.0240226264825 & 1.67597737351747 \tabularnewline
255 & 9.3 & 10.5177213554719 & -1.21772135547192 \tabularnewline
256 & 9.6 & 11.335543004901 & -1.73554300490103 \tabularnewline
257 & 11 & 10.9426084703243 & 0.057391529675654 \tabularnewline
258 & 11 & 10.9426084703243 & 0.057391529675654 \tabularnewline
259 & 11.8 & 10.946274988803 & 0.85372501119704 \tabularnewline
260 & 11.4 & 10.5897894264476 & 0.810210573552387 \tabularnewline
261 & 10.2 & 10.469660715436 & -0.269660715435974 \tabularnewline
262 & 8.9 & 8.86068563601182 & 0.0393143639881807 \tabularnewline
263 & 10.2 & 10.1844759347072 & 0.0155240652928105 \tabularnewline
264 & 9.6 & 9.223563422766 & 0.376436577234003 \tabularnewline
265 & 10.6 & 10.6888778052305 & -0.0888778052305268 \tabularnewline
266 & 8.9 & 8.86068563601182 & 0.0393143639881807 \tabularnewline
267 & 9.2 & 9.7586670179473 & -0.558667017947298 \tabularnewline
268 & 9.7 & 9.76709174320385 & -0.0670917432038497 \tabularnewline
269 & 9.7 & 10.0532388855401 & -0.353238885540144 \tabularnewline
270 & 9.7 & 10.0358775493784 & -0.335877549378395 \tabularnewline
271 & 9.2 & 9.7586670179473 & -0.558667017947298 \tabularnewline
272 & 9.7 & 9.75725668747042 & -0.0572566874704178 \tabularnewline
273 & 9.3 & 9.26507049296108 & 0.0349295070389166 \tabularnewline
274 & 9 & 9.96548391781972 & -0.96548391781972 \tabularnewline
275 & 9.5 & 9.21904103707665 & 0.28095896292335 \tabularnewline
276 & 9.8 & 9.93602237394668 & -0.136022373946681 \tabularnewline
277 & 9.8 & 9.95567944759577 & -0.15567944759577 \tabularnewline
278 & 10.6 & 10.8799930966599 & -0.279993096659876 \tabularnewline
279 & 10.6 & 10.4880433557253 & 0.111956644274725 \tabularnewline
280 & 12.4 & 11.0408162308781 & 1.35918376912186 \tabularnewline
281 & 12.6 & 11.4465253875246 & 1.15347461247542 \tabularnewline
282 & 12.3 & 11.2832090183887 & 1.01679098161133 \tabularnewline
283 & 10.5 & 9.45367254164655 & 1.04632745835345 \tabularnewline
284 & 9.3 & 8.77697300152491 & 0.523026998475087 \tabularnewline
285 & 8.8 & 8.74178052378497 & 0.0582194762150252 \tabularnewline
286 & 8.8 & 9.51221500570391 & -0.712215005703905 \tabularnewline
287 & 9.7 & 9.12737625374191 & 0.572623746258094 \tabularnewline
288 & 9 & 9.51701001887579 & -0.517010018875792 \tabularnewline
289 & 9 & 9.51701001887579 & -0.517010018875792 \tabularnewline
290 & 9 & 9.51701001887579 & -0.517010018875792 \tabularnewline
291 & 9 & 9.51701001887579 & -0.517010018875792 \tabularnewline
292 & 10.5 & 10.2702185654369 & 0.229781434563141 \tabularnewline
293 & 9.1 & 8.34524161357457 & 0.754758386425435 \tabularnewline
294 & 9.8 & 10.3831312729574 & -0.58313127295743 \tabularnewline
295 & 8.5 & 9.24862880811909 & -0.748628808119086 \tabularnewline
296 & 9.4 & 10.4721821908884 & -1.07218219088836 \tabularnewline
297 & 9.4 & 9.60188714403305 & -0.201887144033046 \tabularnewline
298 & 11.2 & 10.6270415234239 & 0.572958476576124 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154781&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]8.8[/C][C]8.93088764921938[/C][C]-0.130887649219384[/C][/ROW]
[ROW][C]2[/C][C]9.5[/C][C]10.6617354265779[/C][C]-1.16173542657794[/C][/ROW]
[ROW][C]3[/C][C]10.1[/C][C]10.3608241744363[/C][C]-0.260824174436326[/C][/ROW]
[ROW][C]4[/C][C]9.9[/C][C]9.68196327201726[/C][C]0.218036727982744[/C][/ROW]
[ROW][C]5[/C][C]9.9[/C][C]9.68196327201726[/C][C]0.218036727982745[/C][/ROW]
[ROW][C]6[/C][C]10.1[/C][C]10.3608241744363[/C][C]-0.260824174436328[/C][/ROW]
[ROW][C]7[/C][C]9.6[/C][C]10.1576002363004[/C][C]-0.557600236300419[/C][/ROW]
[ROW][C]8[/C][C]8.8[/C][C]8.93088764921939[/C][C]-0.130887649219387[/C][/ROW]
[ROW][C]9[/C][C]9.5[/C][C]10.6617354265779[/C][C]-1.16173542657794[/C][/ROW]
[ROW][C]10[/C][C]11[/C][C]10.7580867195598[/C][C]0.241913280440152[/C][/ROW]
[ROW][C]11[/C][C]12[/C][C]10.9318852108324[/C][C]1.06811478916764[/C][/ROW]
[ROW][C]12[/C][C]9.7[/C][C]10.4266019526324[/C][C]-0.726601952632411[/C][/ROW]
[ROW][C]13[/C][C]10.8[/C][C]10.7805961112976[/C][C]0.0194038887024028[/C][/ROW]
[ROW][C]14[/C][C]12.4[/C][C]10.9731463256731[/C][C]1.42685367432689[/C][/ROW]
[ROW][C]15[/C][C]9.7[/C][C]8.88439390948567[/C][C]0.815606090514333[/C][/ROW]
[ROW][C]16[/C][C]11.4[/C][C]11.295105278362[/C][C]0.104894721637983[/C][/ROW]
[ROW][C]17[/C][C]9.6[/C][C]10.7459904181076[/C][C]-1.14599041810755[/C][/ROW]
[ROW][C]18[/C][C]12.8[/C][C]11.8435528135152[/C][C]0.956447186484784[/C][/ROW]
[ROW][C]19[/C][C]11.3[/C][C]10.7363367746956[/C][C]0.563663225304426[/C][/ROW]
[ROW][C]20[/C][C]9.5[/C][C]9.82464167929939[/C][C]-0.324641679299394[/C][/ROW]
[ROW][C]21[/C][C]12.8[/C][C]11.8435528135152[/C][C]0.956447186484784[/C][/ROW]
[ROW][C]22[/C][C]11[/C][C]11.1606365814142[/C][C]-0.16063658141416[/C][/ROW]
[ROW][C]23[/C][C]10.5[/C][C]11.2985249950697[/C][C]-0.798524995069661[/C][/ROW]
[ROW][C]24[/C][C]9.3[/C][C]9.74609467060319[/C][C]-0.446094670603192[/C][/ROW]
[ROW][C]25[/C][C]10[/C][C]10.6197608446949[/C][C]-0.619760844694945[/C][/ROW]
[ROW][C]26[/C][C]10.4[/C][C]9.49402493355653[/C][C]0.905975066443472[/C][/ROW]
[ROW][C]27[/C][C]10[/C][C]10.5832206262778[/C][C]-0.583220626277756[/C][/ROW]
[ROW][C]28[/C][C]10.5[/C][C]9.98972005051898[/C][C]0.510279949481022[/C][/ROW]
[ROW][C]29[/C][C]11.6[/C][C]10.7804884212264[/C][C]0.819511578773556[/C][/ROW]
[ROW][C]30[/C][C]12.3[/C][C]11.1973648066816[/C][C]1.10263519331844[/C][/ROW]
[ROW][C]31[/C][C]10[/C][C]9.92012893790512[/C][C]0.0798710620948776[/C][/ROW]
[ROW][C]32[/C][C]10.2[/C][C]11.1647628158791[/C][C]-0.96476281587914[/C][/ROW]
[ROW][C]33[/C][C]10.8[/C][C]10.7588482144931[/C][C]0.0411517855069183[/C][/ROW]
[ROW][C]34[/C][C]9[/C][C]10.7870369539926[/C][C]-1.78703695399264[/C][/ROW]
[ROW][C]35[/C][C]10.2[/C][C]9.02070334863326[/C][C]1.17929665136674[/C][/ROW]
[ROW][C]36[/C][C]12.8[/C][C]10.0436889610255[/C][C]2.75631103897452[/C][/ROW]
[ROW][C]37[/C][C]10[/C][C]9.87913232744252[/C][C]0.120867672557485[/C][/ROW]
[ROW][C]38[/C][C]11.2[/C][C]10.5991595979326[/C][C]0.600840402067444[/C][/ROW]
[ROW][C]39[/C][C]8.6[/C][C]8.81316188553633[/C][C]-0.213161885536329[/C][/ROW]
[ROW][C]40[/C][C]8.6[/C][C]8.81316188553633[/C][C]-0.213161885536329[/C][/ROW]
[ROW][C]41[/C][C]9.4[/C][C]8.94374414063732[/C][C]0.456255859362678[/C][/ROW]
[ROW][C]42[/C][C]9.4[/C][C]8.90311763281155[/C][C]0.496882367188451[/C][/ROW]
[ROW][C]43[/C][C]9.8[/C][C]9.74375019913146[/C][C]0.0562498008685406[/C][/ROW]
[ROW][C]44[/C][C]9.5[/C][C]10.4431622140693[/C][C]-0.943162214069272[/C][/ROW]
[ROW][C]45[/C][C]9.5[/C][C]10.3883458475099[/C][C]-0.888345847509886[/C][/ROW]
[ROW][C]46[/C][C]10[/C][C]10.6647192391855[/C][C]-0.664719239185453[/C][/ROW]
[ROW][C]47[/C][C]9.8[/C][C]9.23024654879271[/C][C]0.569753451207289[/C][/ROW]
[ROW][C]48[/C][C]9.8[/C][C]9.48101842855757[/C][C]0.318981571442429[/C][/ROW]
[ROW][C]49[/C][C]9.8[/C][C]9.74375019913146[/C][C]0.0562498008685406[/C][/ROW]
[ROW][C]50[/C][C]9.8[/C][C]9.75591434057976[/C][C]0.0440856594202401[/C][/ROW]
[ROW][C]51[/C][C]11.7[/C][C]10.2664987443055[/C][C]1.43350125569445[/C][/ROW]
[ROW][C]52[/C][C]11[/C][C]10.7581768331335[/C][C]0.241823166866544[/C][/ROW]
[ROW][C]53[/C][C]10.9[/C][C]11.1488311964795[/C][C]-0.24883119647952[/C][/ROW]
[ROW][C]54[/C][C]10.9[/C][C]10.8841112505646[/C][C]0.0158887494354208[/C][/ROW]
[ROW][C]55[/C][C]9.1[/C][C]9.62641376872639[/C][C]-0.52641376872639[/C][/ROW]
[ROW][C]56[/C][C]11[/C][C]10.5281587846905[/C][C]0.471841215309488[/C][/ROW]
[ROW][C]57[/C][C]9.6[/C][C]9.47333033184155[/C][C]0.12666966815845[/C][/ROW]
[ROW][C]58[/C][C]8.9[/C][C]9.66077037894076[/C][C]-0.76077037894076[/C][/ROW]
[ROW][C]59[/C][C]10.2[/C][C]10.6449110179452[/C][C]-0.444911017945222[/C][/ROW]
[ROW][C]60[/C][C]9.9[/C][C]10.9146284465408[/C][C]-1.01462844654082[/C][/ROW]
[ROW][C]61[/C][C]8.6[/C][C]9.85657002145069[/C][C]-1.25657002145069[/C][/ROW]
[ROW][C]62[/C][C]8.9[/C][C]9.66077037894076[/C][C]-0.76077037894076[/C][/ROW]
[ROW][C]63[/C][C]10.5[/C][C]10.3594736032024[/C][C]0.140526396797558[/C][/ROW]
[ROW][C]64[/C][C]10.2[/C][C]10.6449110179452[/C][C]-0.444911017945222[/C][/ROW]
[ROW][C]65[/C][C]10.3[/C][C]10.8224573332188[/C][C]-0.522457333218795[/C][/ROW]
[ROW][C]66[/C][C]9.1[/C][C]10.1198136386876[/C][C]-1.01981363868756[/C][/ROW]
[ROW][C]67[/C][C]12.6[/C][C]10.6609424227225[/C][C]1.93905757727751[/C][/ROW]
[ROW][C]68[/C][C]9.8[/C][C]10.1771412585258[/C][C]-0.3771412585258[/C][/ROW]
[ROW][C]69[/C][C]10.7[/C][C]11.3926481580909[/C][C]-0.692648158090886[/C][/ROW]
[ROW][C]70[/C][C]9.5[/C][C]9.74229882358523[/C][C]-0.242298823585226[/C][/ROW]
[ROW][C]71[/C][C]9[/C][C]9.55847073877453[/C][C]-0.558470738774534[/C][/ROW]
[ROW][C]72[/C][C]9.5[/C][C]9.36245228052819[/C][C]0.137547719471808[/C][/ROW]
[ROW][C]73[/C][C]10[/C][C]9.52051662159762[/C][C]0.479483378402377[/C][/ROW]
[ROW][C]74[/C][C]9.1[/C][C]10.9832440560424[/C][C]-1.88324405604236[/C][/ROW]
[ROW][C]75[/C][C]10.7[/C][C]11.3926481580909[/C][C]-0.692648158090886[/C][/ROW]
[ROW][C]76[/C][C]9.5[/C][C]9.74229882358523[/C][C]-0.242298823585226[/C][/ROW]
[ROW][C]77[/C][C]12.7[/C][C]11.2699247853965[/C][C]1.43007521460351[/C][/ROW]
[ROW][C]78[/C][C]12[/C][C]11.3492398418261[/C][C]0.650760158173892[/C][/ROW]
[ROW][C]79[/C][C]9.3[/C][C]9.70281217561146[/C][C]-0.402812175611461[/C][/ROW]
[ROW][C]80[/C][C]9[/C][C]9.98396952827782[/C][C]-0.983969528277823[/C][/ROW]
[ROW][C]81[/C][C]10.6[/C][C]10.6711810226022[/C][C]-0.0711810226022146[/C][/ROW]
[ROW][C]82[/C][C]9.2[/C][C]9.2520311013588[/C][C]-0.0520311013588017[/C][/ROW]
[ROW][C]83[/C][C]10[/C][C]9.56817906950169[/C][C]0.431820930498314[/C][/ROW]
[ROW][C]84[/C][C]9.5[/C][C]9.72059549660234[/C][C]-0.220595496602341[/C][/ROW]
[ROW][C]85[/C][C]8.7[/C][C]9.54248019457263[/C][C]-0.842480194572633[/C][/ROW]
[ROW][C]86[/C][C]8.7[/C][C]9.86954257707434[/C][C]-1.16954257707434[/C][/ROW]
[ROW][C]87[/C][C]8.7[/C][C]9.92622141014901[/C][C]-1.22622141014901[/C][/ROW]
[ROW][C]88[/C][C]9.7[/C][C]9.28781290894398[/C][C]0.41218709105602[/C][/ROW]
[ROW][C]89[/C][C]8.7[/C][C]9.54248019457263[/C][C]-0.842480194572633[/C][/ROW]
[ROW][C]90[/C][C]8.7[/C][C]9.86954257707434[/C][C]-1.16954257707434[/C][/ROW]
[ROW][C]91[/C][C]8.7[/C][C]9.92622141014901[/C][C]-1.22622141014901[/C][/ROW]
[ROW][C]92[/C][C]9[/C][C]9.37347318868766[/C][C]-0.373473188687662[/C][/ROW]
[ROW][C]93[/C][C]12.6[/C][C]11.0838173370759[/C][C]1.51618266292415[/C][/ROW]
[ROW][C]94[/C][C]12.6[/C][C]11.0906220007218[/C][C]1.50937799927816[/C][/ROW]
[ROW][C]95[/C][C]11.5[/C][C]10.9524943978174[/C][C]0.54750560218259[/C][/ROW]
[ROW][C]96[/C][C]9.2[/C][C]9.25775487023206[/C][C]-0.0577548702320642[/C][/ROW]
[ROW][C]97[/C][C]8.8[/C][C]9.50312051542789[/C][C]-0.703120515427893[/C][/ROW]
[ROW][C]98[/C][C]11.4[/C][C]11.4254981034881[/C][C]-0.0254981034880594[/C][/ROW]
[ROW][C]99[/C][C]10.1[/C][C]9.71365320330528[/C][C]0.386346796694716[/C][/ROW]
[ROW][C]100[/C][C]8.8[/C][C]9.50312051542789[/C][C]-0.703120515427893[/C][/ROW]
[ROW][C]101[/C][C]9.1[/C][C]8.94053273928374[/C][C]0.159467260716256[/C][/ROW]
[ROW][C]102[/C][C]9.4[/C][C]9.44551825723754[/C][C]-0.0455182572375431[/C][/ROW]
[ROW][C]103[/C][C]9.4[/C][C]9.26429259156795[/C][C]0.135707408432055[/C][/ROW]
[ROW][C]104[/C][C]9[/C][C]8.61636992436369[/C][C]0.383630075636309[/C][/ROW]
[ROW][C]105[/C][C]9.1[/C][C]8.94053273928374[/C][C]0.159467260716256[/C][/ROW]
[ROW][C]106[/C][C]9.2[/C][C]9.6599404608221[/C][C]-0.459940460822099[/C][/ROW]
[ROW][C]107[/C][C]9.4[/C][C]9.44551825723754[/C][C]-0.0455182572375431[/C][/ROW]
[ROW][C]108[/C][C]9.1[/C][C]9.3129577990672[/C][C]-0.212957799067195[/C][/ROW]
[ROW][C]109[/C][C]9.1[/C][C]9.3129577990672[/C][C]-0.212957799067195[/C][/ROW]
[ROW][C]110[/C][C]10.3[/C][C]10.0429403813711[/C][C]0.25705961862894[/C][/ROW]
[ROW][C]111[/C][C]8.8[/C][C]9.63565736651875[/C][C]-0.835657366518745[/C][/ROW]
[ROW][C]112[/C][C]8.9[/C][C]8.3360927410194[/C][C]0.563907258980596[/C][/ROW]
[ROW][C]113[/C][C]9.2[/C][C]9.04355951212266[/C][C]0.156440487877335[/C][/ROW]
[ROW][C]114[/C][C]9.1[/C][C]9.61946348847978[/C][C]-0.519463488479776[/C][/ROW]
[ROW][C]115[/C][C]9.1[/C][C]9.61946348847978[/C][C]-0.519463488479776[/C][/ROW]
[ROW][C]116[/C][C]9.7[/C][C]9.83760965180867[/C][C]-0.137609651808671[/C][/ROW]
[ROW][C]117[/C][C]11.3[/C][C]10.5200763252757[/C][C]0.779923674724311[/C][/ROW]
[ROW][C]118[/C][C]11.8[/C][C]11.0933618469919[/C][C]0.706638153008115[/C][/ROW]
[ROW][C]119[/C][C]9.2[/C][C]9.04355951212266[/C][C]0.156440487877335[/C][/ROW]
[ROW][C]120[/C][C]9.2[/C][C]8.97779873539895[/C][C]0.222201264601047[/C][/ROW]
[ROW][C]121[/C][C]10.2[/C][C]10.1412241835917[/C][C]0.0587758164082894[/C][/ROW]
[ROW][C]122[/C][C]8.8[/C][C]9.35491714958009[/C][C]-0.554917149580088[/C][/ROW]
[ROW][C]123[/C][C]9.7[/C][C]9.77625338596664[/C][C]-0.0762533859666361[/C][/ROW]
[ROW][C]124[/C][C]9.1[/C][C]10.1696257955598[/C][C]-1.06962579555982[/C][/ROW]
[ROW][C]125[/C][C]9.8[/C][C]10.0734194094714[/C][C]-0.273419409471418[/C][/ROW]
[ROW][C]126[/C][C]11[/C][C]10.9281817440844[/C][C]0.071818255915648[/C][/ROW]
[ROW][C]127[/C][C]10.5[/C][C]10.06465370624[/C][C]0.435346293759982[/C][/ROW]
[ROW][C]128[/C][C]9.7[/C][C]10.2090519726992[/C][C]-0.50905197269917[/C][/ROW]
[ROW][C]129[/C][C]10.9[/C][C]10.7819750308311[/C][C]0.118024969168925[/C][/ROW]
[ROW][C]130[/C][C]10.9[/C][C]10.4443150130766[/C][C]0.455684986923434[/C][/ROW]
[ROW][C]131[/C][C]10.6[/C][C]10.3252325789417[/C][C]0.274767421058334[/C][/ROW]
[ROW][C]132[/C][C]9.7[/C][C]10.2090519726992[/C][C]-0.50905197269917[/C][/ROW]
[ROW][C]133[/C][C]9[/C][C]9.00283757366193[/C][C]-0.00283757366193095[/C][/ROW]
[ROW][C]134[/C][C]9.2[/C][C]9.03062591236164[/C][C]0.169374087638355[/C][/ROW]
[ROW][C]135[/C][C]8.9[/C][C]9.58670977685483[/C][C]-0.686709776854825[/C][/ROW]
[ROW][C]136[/C][C]9.6[/C][C]9.08147839840668[/C][C]0.518521601593315[/C][/ROW]
[ROW][C]137[/C][C]10.7[/C][C]11.0240926419199[/C][C]-0.324092641919927[/C][/ROW]
[ROW][C]138[/C][C]8.7[/C][C]9.68383636331408[/C][C]-0.983836363314079[/C][/ROW]
[ROW][C]139[/C][C]10.8[/C][C]11.2936266541108[/C][C]-0.493626654110815[/C][/ROW]
[ROW][C]140[/C][C]11.8[/C][C]11.1308809570578[/C][C]0.669119042942177[/C][/ROW]
[ROW][C]141[/C][C]10.2[/C][C]10.6294176122152[/C][C]-0.429417612215161[/C][/ROW]
[ROW][C]142[/C][C]8.7[/C][C]9.68383636331408[/C][C]-0.983836363314079[/C][/ROW]
[ROW][C]143[/C][C]10.8[/C][C]10.9365396579192[/C][C]-0.136539657919211[/C][/ROW]
[ROW][C]144[/C][C]9.7[/C][C]10.7528098112578[/C][C]-1.05280981125778[/C][/ROW]
[ROW][C]145[/C][C]11.2[/C][C]11.0038328751228[/C][C]0.19616712487724[/C][/ROW]
[ROW][C]146[/C][C]10.9[/C][C]10.9393093170447[/C][C]-0.0393093170447103[/C][/ROW]
[ROW][C]147[/C][C]10.1[/C][C]10.5498533363705[/C][C]-0.449853336370466[/C][/ROW]
[ROW][C]148[/C][C]9[/C][C]9.69785025904752[/C][C]-0.69785025904752[/C][/ROW]
[ROW][C]149[/C][C]12[/C][C]11.1246154823391[/C][C]0.875384517660892[/C][/ROW]
[ROW][C]150[/C][C]9.4[/C][C]10.4646016892266[/C][C]-1.06460168922661[/C][/ROW]
[ROW][C]151[/C][C]11.5[/C][C]10.3949460761852[/C][C]1.10505392381483[/C][/ROW]
[ROW][C]152[/C][C]9.9[/C][C]9.88283408686952[/C][C]0.017165913130479[/C][/ROW]
[ROW][C]153[/C][C]9.4[/C][C]10.4646016892266[/C][C]-1.06460168922661[/C][/ROW]
[ROW][C]154[/C][C]10.4[/C][C]10.6067141493223[/C][C]-0.206714149322303[/C][/ROW]
[ROW][C]155[/C][C]9.7[/C][C]10.4378078891085[/C][C]-0.737807889108454[/C][/ROW]
[ROW][C]156[/C][C]8.9[/C][C]9.12721693732314[/C][C]-0.227216937323144[/C][/ROW]
[ROW][C]157[/C][C]8.9[/C][C]9.12721693732314[/C][C]-0.227216937323144[/C][/ROW]
[ROW][C]158[/C][C]12.4[/C][C]11.1155218554501[/C][C]1.28447814454992[/C][/ROW]
[ROW][C]159[/C][C]12.1[/C][C]11.3549332689162[/C][C]0.745066731083751[/C][/ROW]
[ROW][C]160[/C][C]12.1[/C][C]11.3549332689162[/C][C]0.745066731083751[/C][/ROW]
[ROW][C]161[/C][C]12.4[/C][C]11.1155218554501[/C][C]1.28447814454992[/C][/ROW]
[ROW][C]162[/C][C]9.1[/C][C]9.20750709494288[/C][C]-0.107507094942877[/C][/ROW]
[ROW][C]163[/C][C]10.6[/C][C]10.3047686918789[/C][C]0.295231308121054[/C][/ROW]
[ROW][C]164[/C][C]8.9[/C][C]9.12721693732314[/C][C]-0.227216937323144[/C][/ROW]
[ROW][C]165[/C][C]9.5[/C][C]9.02294576171677[/C][C]0.477054238283234[/C][/ROW]
[ROW][C]166[/C][C]9.8[/C][C]9.14917055777087[/C][C]0.650829442229134[/C][/ROW]
[ROW][C]167[/C][C]9.6[/C][C]9.77333079150047[/C][C]-0.17333079150047[/C][/ROW]
[ROW][C]168[/C][C]12.6[/C][C]11.1593706660642[/C][C]1.44062933393582[/C][/ROW]
[ROW][C]169[/C][C]9.3[/C][C]9.55446729747697[/C][C]-0.254467297476965[/C][/ROW]
[ROW][C]170[/C][C]10[/C][C]9.98954959697546[/C][C]0.010450403024535[/C][/ROW]
[ROW][C]171[/C][C]12.7[/C][C]10.4980121689271[/C][C]2.20198783107291[/C][/ROW]
[ROW][C]172[/C][C]11[/C][C]10.9366360985933[/C][C]0.0633639014067479[/C][/ROW]
[ROW][C]173[/C][C]11.4[/C][C]10.4401916900259[/C][C]0.959808309974087[/C][/ROW]
[ROW][C]174[/C][C]11.5[/C][C]10.9003509459249[/C][C]0.59964905407512[/C][/ROW]
[ROW][C]175[/C][C]10.2[/C][C]8.75386051000738[/C][C]1.44613948999262[/C][/ROW]
[ROW][C]176[/C][C]11.4[/C][C]10.2142358079806[/C][C]1.18576419201938[/C][/ROW]
[ROW][C]177[/C][C]12.6[/C][C]10.2235363127415[/C][C]2.37646368725848[/C][/ROW]
[ROW][C]178[/C][C]9.4[/C][C]9.1507660832347[/C][C]0.249233916765298[/C][/ROW]
[ROW][C]179[/C][C]8.7[/C][C]9.95076643533084[/C][C]-1.25076643533084[/C][/ROW]
[ROW][C]180[/C][C]9.2[/C][C]10.103823861778[/C][C]-0.903823861777986[/C][/ROW]
[ROW][C]181[/C][C]9.3[/C][C]10.1191511605133[/C][C]-0.819151160513314[/C][/ROW]
[ROW][C]182[/C][C]9.2[/C][C]9.98922864108424[/C][C]-0.789228641084244[/C][/ROW]
[ROW][C]183[/C][C]8.7[/C][C]8.52721860068754[/C][C]0.172781399312459[/C][/ROW]
[ROW][C]184[/C][C]9.6[/C][C]9.14831915559673[/C][C]0.451680844403274[/C][/ROW]
[ROW][C]185[/C][C]9.3[/C][C]9.21039872676776[/C][C]0.089601273232241[/C][/ROW]
[ROW][C]186[/C][C]9.3[/C][C]9.18740030998292[/C][C]0.112599690017076[/C][/ROW]
[ROW][C]187[/C][C]9.9[/C][C]9.97785487766165[/C][C]-0.077854877661645[/C][/ROW]
[ROW][C]188[/C][C]11[/C][C]10.3033683093313[/C][C]0.696631690668738[/C][/ROW]
[ROW][C]189[/C][C]12.7[/C][C]11.3362187303612[/C][C]1.36378126963877[/C][/ROW]
[ROW][C]190[/C][C]8.9[/C][C]9.10249322978294[/C][C]-0.202493229782941[/C][/ROW]
[ROW][C]191[/C][C]8.9[/C][C]9.62525503762095[/C][C]-0.725255037620945[/C][/ROW]
[ROW][C]192[/C][C]8.7[/C][C]8.52721860068754[/C][C]0.172781399312459[/C][/ROW]
[ROW][C]193[/C][C]11.4[/C][C]10.2384667581719[/C][C]1.16153324182809[/C][/ROW]
[ROW][C]194[/C][C]9.6[/C][C]10.025092244335[/C][C]-0.425092244334964[/C][/ROW]
[ROW][C]195[/C][C]9.1[/C][C]8.11890764005025[/C][C]0.98109235994975[/C][/ROW]
[ROW][C]196[/C][C]9.1[/C][C]8.47015460012089[/C][C]0.629845399879105[/C][/ROW]
[ROW][C]197[/C][C]9.1[/C][C]8.14855433047788[/C][C]0.951445669522123[/C][/ROW]
[ROW][C]198[/C][C]8.9[/C][C]9.35153764045921[/C][C]-0.45153764045921[/C][/ROW]
[ROW][C]199[/C][C]8.8[/C][C]8.97006152476842[/C][C]-0.170061524768421[/C][/ROW]
[ROW][C]200[/C][C]8.9[/C][C]9.35153764045921[/C][C]-0.45153764045921[/C][/ROW]
[ROW][C]201[/C][C]9.3[/C][C]8.7837914667431[/C][C]0.516208533256905[/C][/ROW]
[ROW][C]202[/C][C]8.8[/C][C]8.97006152476842[/C][C]-0.170061524768421[/C][/ROW]
[ROW][C]203[/C][C]9.6[/C][C]8.81974051038486[/C][C]0.78025948961514[/C][/ROW]
[ROW][C]204[/C][C]12[/C][C]9.78241728817128[/C][C]2.21758271182872[/C][/ROW]
[ROW][C]205[/C][C]10.2[/C][C]10.0558625437444[/C][C]0.144137456255622[/C][/ROW]
[ROW][C]206[/C][C]8.8[/C][C]9.59171732374374[/C][C]-0.79171732374374[/C][/ROW]
[ROW][C]207[/C][C]9.2[/C][C]9.87036150416504[/C][C]-0.670361504165045[/C][/ROW]
[ROW][C]208[/C][C]9.9[/C][C]9.89732822633091[/C][C]0.00267177366908985[/C][/ROW]
[ROW][C]209[/C][C]10.2[/C][C]10.6234955036454[/C][C]-0.423495503645388[/C][/ROW]
[ROW][C]210[/C][C]9.5[/C][C]10.5231026162919[/C][C]-1.02310261629188[/C][/ROW]
[ROW][C]211[/C][C]10.5[/C][C]10.190044463376[/C][C]0.309955536624007[/C][/ROW]
[ROW][C]212[/C][C]11.2[/C][C]11.2176284818825[/C][C]-0.0176284818825105[/C][/ROW]
[ROW][C]213[/C][C]9.2[/C][C]9.87036150416504[/C][C]-0.670361504165045[/C][/ROW]
[ROW][C]214[/C][C]9.7[/C][C]10.3418090096491[/C][C]-0.641809009649074[/C][/ROW]
[ROW][C]215[/C][C]11.1[/C][C]11.2994392592033[/C][C]-0.199439259203307[/C][/ROW]
[ROW][C]216[/C][C]9.4[/C][C]9.64382690237671[/C][C]-0.243826902376714[/C][/ROW]
[ROW][C]217[/C][C]11[/C][C]9.91784369715696[/C][C]1.08215630284304[/C][/ROW]
[ROW][C]218[/C][C]9.4[/C][C]9.64382690237671[/C][C]-0.243826902376714[/C][/ROW]
[ROW][C]219[/C][C]9.4[/C][C]8.86956525866212[/C][C]0.53043474133788[/C][/ROW]
[ROW][C]220[/C][C]11[/C][C]9.93641937357957[/C][C]1.06358062642043[/C][/ROW]
[ROW][C]221[/C][C]11[/C][C]9.91784369715696[/C][C]1.08215630284304[/C][/ROW]
[ROW][C]222[/C][C]9.1[/C][C]9.44025383520416[/C][C]-0.340253835204161[/C][/ROW]
[ROW][C]223[/C][C]11.1[/C][C]11.2994392592033[/C][C]-0.199439259203307[/C][/ROW]
[ROW][C]224[/C][C]9.1[/C][C]10.7171600511873[/C][C]-1.61716005118732[/C][/ROW]
[ROW][C]225[/C][C]10.4[/C][C]10.5525435089389[/C][C]-0.15254350893892[/C][/ROW]
[ROW][C]226[/C][C]8.7[/C][C]8.988811219375[/C][C]-0.288811219374996[/C][/ROW]
[ROW][C]227[/C][C]9.7[/C][C]10.2483343942846[/C][C]-0.548334394284642[/C][/ROW]
[ROW][C]228[/C][C]9.1[/C][C]9.31556372926483[/C][C]-0.215563729264832[/C][/ROW]
[ROW][C]229[/C][C]9.7[/C][C]10.2483343942846[/C][C]-0.548334394284642[/C][/ROW]
[ROW][C]230[/C][C]8.7[/C][C]8.988811219375[/C][C]-0.288811219374996[/C][/ROW]
[ROW][C]231[/C][C]8.9[/C][C]9.00290512727269[/C][C]-0.102905127272689[/C][/ROW]
[ROW][C]232[/C][C]9.6[/C][C]9.91058587826073[/C][C]-0.310585878260734[/C][/ROW]
[ROW][C]233[/C][C]9.5[/C][C]9.86361772187485[/C][C]-0.363617721874851[/C][/ROW]
[ROW][C]234[/C][C]9[/C][C]9.18714923353437[/C][C]-0.187149233534367[/C][/ROW]
[ROW][C]235[/C][C]9[/C][C]9.18714923353437[/C][C]-0.187149233534367[/C][/ROW]
[ROW][C]236[/C][C]9[/C][C]9.18714923353437[/C][C]-0.187149233534367[/C][/ROW]
[ROW][C]237[/C][C]9[/C][C]9.18714923353437[/C][C]-0.187149233534367[/C][/ROW]
[ROW][C]238[/C][C]9.6[/C][C]9.26149877050095[/C][C]0.338501229499052[/C][/ROW]
[ROW][C]239[/C][C]11.1[/C][C]11.275836462549[/C][C]-0.175836462549019[/C][/ROW]
[ROW][C]240[/C][C]9.6[/C][C]9.40219251928582[/C][C]0.197807480714178[/C][/ROW]
[ROW][C]241[/C][C]8.7[/C][C]8.93846140957134[/C][C]-0.238461409571344[/C][/ROW]
[ROW][C]242[/C][C]10.4[/C][C]10.2120995487526[/C][C]0.187900451247365[/C][/ROW]
[ROW][C]243[/C][C]11.4[/C][C]11.349622029639[/C][C]0.0503779703609641[/C][/ROW]
[ROW][C]244[/C][C]9.7[/C][C]10.1432225199839[/C][C]-0.443222519983949[/C][/ROW]
[ROW][C]245[/C][C]8.7[/C][C]9.66810639776712[/C][C]-0.968106397767117[/C][/ROW]
[ROW][C]246[/C][C]11.3[/C][C]10.2020543182432[/C][C]1.09794568175681[/C][/ROW]
[ROW][C]247[/C][C]12.6[/C][C]11.0855113572489[/C][C]1.51448864275111[/C][/ROW]
[ROW][C]248[/C][C]10.9[/C][C]11.4629500817488[/C][C]-0.562950081748771[/C][/ROW]
[ROW][C]249[/C][C]10.9[/C][C]11.480581024051[/C][C]-0.580581024050996[/C][/ROW]
[ROW][C]250[/C][C]10[/C][C]9.73171114708597[/C][C]0.268288852914029[/C][/ROW]
[ROW][C]251[/C][C]10[/C][C]9.37662330206257[/C][C]0.623376697937432[/C][/ROW]
[ROW][C]252[/C][C]9.8[/C][C]7.82235833451384[/C][C]1.97764166548616[/C][/ROW]
[ROW][C]253[/C][C]8.7[/C][C]9.66810639776712[/C][C]-0.968106397767117[/C][/ROW]
[ROW][C]254[/C][C]11.7[/C][C]10.0240226264825[/C][C]1.67597737351747[/C][/ROW]
[ROW][C]255[/C][C]9.3[/C][C]10.5177213554719[/C][C]-1.21772135547192[/C][/ROW]
[ROW][C]256[/C][C]9.6[/C][C]11.335543004901[/C][C]-1.73554300490103[/C][/ROW]
[ROW][C]257[/C][C]11[/C][C]10.9426084703243[/C][C]0.057391529675654[/C][/ROW]
[ROW][C]258[/C][C]11[/C][C]10.9426084703243[/C][C]0.057391529675654[/C][/ROW]
[ROW][C]259[/C][C]11.8[/C][C]10.946274988803[/C][C]0.85372501119704[/C][/ROW]
[ROW][C]260[/C][C]11.4[/C][C]10.5897894264476[/C][C]0.810210573552387[/C][/ROW]
[ROW][C]261[/C][C]10.2[/C][C]10.469660715436[/C][C]-0.269660715435974[/C][/ROW]
[ROW][C]262[/C][C]8.9[/C][C]8.86068563601182[/C][C]0.0393143639881807[/C][/ROW]
[ROW][C]263[/C][C]10.2[/C][C]10.1844759347072[/C][C]0.0155240652928105[/C][/ROW]
[ROW][C]264[/C][C]9.6[/C][C]9.223563422766[/C][C]0.376436577234003[/C][/ROW]
[ROW][C]265[/C][C]10.6[/C][C]10.6888778052305[/C][C]-0.0888778052305268[/C][/ROW]
[ROW][C]266[/C][C]8.9[/C][C]8.86068563601182[/C][C]0.0393143639881807[/C][/ROW]
[ROW][C]267[/C][C]9.2[/C][C]9.7586670179473[/C][C]-0.558667017947298[/C][/ROW]
[ROW][C]268[/C][C]9.7[/C][C]9.76709174320385[/C][C]-0.0670917432038497[/C][/ROW]
[ROW][C]269[/C][C]9.7[/C][C]10.0532388855401[/C][C]-0.353238885540144[/C][/ROW]
[ROW][C]270[/C][C]9.7[/C][C]10.0358775493784[/C][C]-0.335877549378395[/C][/ROW]
[ROW][C]271[/C][C]9.2[/C][C]9.7586670179473[/C][C]-0.558667017947298[/C][/ROW]
[ROW][C]272[/C][C]9.7[/C][C]9.75725668747042[/C][C]-0.0572566874704178[/C][/ROW]
[ROW][C]273[/C][C]9.3[/C][C]9.26507049296108[/C][C]0.0349295070389166[/C][/ROW]
[ROW][C]274[/C][C]9[/C][C]9.96548391781972[/C][C]-0.96548391781972[/C][/ROW]
[ROW][C]275[/C][C]9.5[/C][C]9.21904103707665[/C][C]0.28095896292335[/C][/ROW]
[ROW][C]276[/C][C]9.8[/C][C]9.93602237394668[/C][C]-0.136022373946681[/C][/ROW]
[ROW][C]277[/C][C]9.8[/C][C]9.95567944759577[/C][C]-0.15567944759577[/C][/ROW]
[ROW][C]278[/C][C]10.6[/C][C]10.8799930966599[/C][C]-0.279993096659876[/C][/ROW]
[ROW][C]279[/C][C]10.6[/C][C]10.4880433557253[/C][C]0.111956644274725[/C][/ROW]
[ROW][C]280[/C][C]12.4[/C][C]11.0408162308781[/C][C]1.35918376912186[/C][/ROW]
[ROW][C]281[/C][C]12.6[/C][C]11.4465253875246[/C][C]1.15347461247542[/C][/ROW]
[ROW][C]282[/C][C]12.3[/C][C]11.2832090183887[/C][C]1.01679098161133[/C][/ROW]
[ROW][C]283[/C][C]10.5[/C][C]9.45367254164655[/C][C]1.04632745835345[/C][/ROW]
[ROW][C]284[/C][C]9.3[/C][C]8.77697300152491[/C][C]0.523026998475087[/C][/ROW]
[ROW][C]285[/C][C]8.8[/C][C]8.74178052378497[/C][C]0.0582194762150252[/C][/ROW]
[ROW][C]286[/C][C]8.8[/C][C]9.51221500570391[/C][C]-0.712215005703905[/C][/ROW]
[ROW][C]287[/C][C]9.7[/C][C]9.12737625374191[/C][C]0.572623746258094[/C][/ROW]
[ROW][C]288[/C][C]9[/C][C]9.51701001887579[/C][C]-0.517010018875792[/C][/ROW]
[ROW][C]289[/C][C]9[/C][C]9.51701001887579[/C][C]-0.517010018875792[/C][/ROW]
[ROW][C]290[/C][C]9[/C][C]9.51701001887579[/C][C]-0.517010018875792[/C][/ROW]
[ROW][C]291[/C][C]9[/C][C]9.51701001887579[/C][C]-0.517010018875792[/C][/ROW]
[ROW][C]292[/C][C]10.5[/C][C]10.2702185654369[/C][C]0.229781434563141[/C][/ROW]
[ROW][C]293[/C][C]9.1[/C][C]8.34524161357457[/C][C]0.754758386425435[/C][/ROW]
[ROW][C]294[/C][C]9.8[/C][C]10.3831312729574[/C][C]-0.58313127295743[/C][/ROW]
[ROW][C]295[/C][C]8.5[/C][C]9.24862880811909[/C][C]-0.748628808119086[/C][/ROW]
[ROW][C]296[/C][C]9.4[/C][C]10.4721821908884[/C][C]-1.07218219088836[/C][/ROW]
[ROW][C]297[/C][C]9.4[/C][C]9.60188714403305[/C][C]-0.201887144033046[/C][/ROW]
[ROW][C]298[/C][C]11.2[/C][C]10.6270415234239[/C][C]0.572958476576124[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=154781&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154781&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	8.8	8.93088764921938	-0.130887649219384
2	9.5	10.6617354265779	-1.16173542657794
3	10.1	10.3608241744363	-0.260824174436326
4	9.9	9.68196327201726	0.218036727982744
5	9.9	9.68196327201726	0.218036727982745
6	10.1	10.3608241744363	-0.260824174436328
7	9.6	10.1576002363004	-0.557600236300419
8	8.8	8.93088764921939	-0.130887649219387
9	9.5	10.6617354265779	-1.16173542657794
10	11	10.7580867195598	0.241913280440152
11	12	10.9318852108324	1.06811478916764
12	9.7	10.4266019526324	-0.726601952632411
13	10.8	10.7805961112976	0.0194038887024028
14	12.4	10.9731463256731	1.42685367432689
15	9.7	8.88439390948567	0.815606090514333
16	11.4	11.295105278362	0.104894721637983
17	9.6	10.7459904181076	-1.14599041810755
18	12.8	11.8435528135152	0.956447186484784
19	11.3	10.7363367746956	0.563663225304426
20	9.5	9.82464167929939	-0.324641679299394
21	12.8	11.8435528135152	0.956447186484784
22	11	11.1606365814142	-0.16063658141416
23	10.5	11.2985249950697	-0.798524995069661
24	9.3	9.74609467060319	-0.446094670603192
25	10	10.6197608446949	-0.619760844694945
26	10.4	9.49402493355653	0.905975066443472
27	10	10.5832206262778	-0.583220626277756
28	10.5	9.98972005051898	0.510279949481022
29	11.6	10.7804884212264	0.819511578773556
30	12.3	11.1973648066816	1.10263519331844
31	10	9.92012893790512	0.0798710620948776
32	10.2	11.1647628158791	-0.96476281587914
33	10.8	10.7588482144931	0.0411517855069183
34	9	10.7870369539926	-1.78703695399264
35	10.2	9.02070334863326	1.17929665136674
36	12.8	10.0436889610255	2.75631103897452
37	10	9.87913232744252	0.120867672557485
38	11.2	10.5991595979326	0.600840402067444
39	8.6	8.81316188553633	-0.213161885536329
40	8.6	8.81316188553633	-0.213161885536329
41	9.4	8.94374414063732	0.456255859362678
42	9.4	8.90311763281155	0.496882367188451
43	9.8	9.74375019913146	0.0562498008685406
44	9.5	10.4431622140693	-0.943162214069272
45	9.5	10.3883458475099	-0.888345847509886
46	10	10.6647192391855	-0.664719239185453
47	9.8	9.23024654879271	0.569753451207289
48	9.8	9.48101842855757	0.318981571442429
49	9.8	9.74375019913146	0.0562498008685406
50	9.8	9.75591434057976	0.0440856594202401
51	11.7	10.2664987443055	1.43350125569445
52	11	10.7581768331335	0.241823166866544
53	10.9	11.1488311964795	-0.24883119647952
54	10.9	10.8841112505646	0.0158887494354208
55	9.1	9.62641376872639	-0.52641376872639
56	11	10.5281587846905	0.471841215309488
57	9.6	9.47333033184155	0.12666966815845
58	8.9	9.66077037894076	-0.76077037894076
59	10.2	10.6449110179452	-0.444911017945222
60	9.9	10.9146284465408	-1.01462844654082
61	8.6	9.85657002145069	-1.25657002145069
62	8.9	9.66077037894076	-0.76077037894076
63	10.5	10.3594736032024	0.140526396797558
64	10.2	10.6449110179452	-0.444911017945222
65	10.3	10.8224573332188	-0.522457333218795
66	9.1	10.1198136386876	-1.01981363868756
67	12.6	10.6609424227225	1.93905757727751
68	9.8	10.1771412585258	-0.3771412585258
69	10.7	11.3926481580909	-0.692648158090886
70	9.5	9.74229882358523	-0.242298823585226
71	9	9.55847073877453	-0.558470738774534
72	9.5	9.36245228052819	0.137547719471808
73	10	9.52051662159762	0.479483378402377
74	9.1	10.9832440560424	-1.88324405604236
75	10.7	11.3926481580909	-0.692648158090886
76	9.5	9.74229882358523	-0.242298823585226
77	12.7	11.2699247853965	1.43007521460351
78	12	11.3492398418261	0.650760158173892
79	9.3	9.70281217561146	-0.402812175611461
80	9	9.98396952827782	-0.983969528277823
81	10.6	10.6711810226022	-0.0711810226022146
82	9.2	9.2520311013588	-0.0520311013588017
83	10	9.56817906950169	0.431820930498314
84	9.5	9.72059549660234	-0.220595496602341
85	8.7	9.54248019457263	-0.842480194572633
86	8.7	9.86954257707434	-1.16954257707434
87	8.7	9.92622141014901	-1.22622141014901
88	9.7	9.28781290894398	0.41218709105602
89	8.7	9.54248019457263	-0.842480194572633
90	8.7	9.86954257707434	-1.16954257707434
91	8.7	9.92622141014901	-1.22622141014901
92	9	9.37347318868766	-0.373473188687662
93	12.6	11.0838173370759	1.51618266292415
94	12.6	11.0906220007218	1.50937799927816
95	11.5	10.9524943978174	0.54750560218259
96	9.2	9.25775487023206	-0.0577548702320642
97	8.8	9.50312051542789	-0.703120515427893
98	11.4	11.4254981034881	-0.0254981034880594
99	10.1	9.71365320330528	0.386346796694716
100	8.8	9.50312051542789	-0.703120515427893
101	9.1	8.94053273928374	0.159467260716256
102	9.4	9.44551825723754	-0.0455182572375431
103	9.4	9.26429259156795	0.135707408432055
104	9	8.61636992436369	0.383630075636309
105	9.1	8.94053273928374	0.159467260716256
106	9.2	9.6599404608221	-0.459940460822099
107	9.4	9.44551825723754	-0.0455182572375431
108	9.1	9.3129577990672	-0.212957799067195
109	9.1	9.3129577990672	-0.212957799067195
110	10.3	10.0429403813711	0.25705961862894
111	8.8	9.63565736651875	-0.835657366518745
112	8.9	8.3360927410194	0.563907258980596
113	9.2	9.04355951212266	0.156440487877335
114	9.1	9.61946348847978	-0.519463488479776
115	9.1	9.61946348847978	-0.519463488479776
116	9.7	9.83760965180867	-0.137609651808671
117	11.3	10.5200763252757	0.779923674724311
118	11.8	11.0933618469919	0.706638153008115
119	9.2	9.04355951212266	0.156440487877335
120	9.2	8.97779873539895	0.222201264601047
121	10.2	10.1412241835917	0.0587758164082894
122	8.8	9.35491714958009	-0.554917149580088
123	9.7	9.77625338596664	-0.0762533859666361
124	9.1	10.1696257955598	-1.06962579555982
125	9.8	10.0734194094714	-0.273419409471418
126	11	10.9281817440844	0.071818255915648
127	10.5	10.06465370624	0.435346293759982
128	9.7	10.2090519726992	-0.50905197269917
129	10.9	10.7819750308311	0.118024969168925
130	10.9	10.4443150130766	0.455684986923434
131	10.6	10.3252325789417	0.274767421058334
132	9.7	10.2090519726992	-0.50905197269917
133	9	9.00283757366193	-0.00283757366193095
134	9.2	9.03062591236164	0.169374087638355
135	8.9	9.58670977685483	-0.686709776854825
136	9.6	9.08147839840668	0.518521601593315
137	10.7	11.0240926419199	-0.324092641919927
138	8.7	9.68383636331408	-0.983836363314079
139	10.8	11.2936266541108	-0.493626654110815
140	11.8	11.1308809570578	0.669119042942177
141	10.2	10.6294176122152	-0.429417612215161
142	8.7	9.68383636331408	-0.983836363314079
143	10.8	10.9365396579192	-0.136539657919211
144	9.7	10.7528098112578	-1.05280981125778
145	11.2	11.0038328751228	0.19616712487724
146	10.9	10.9393093170447	-0.0393093170447103
147	10.1	10.5498533363705	-0.449853336370466
148	9	9.69785025904752	-0.69785025904752
149	12	11.1246154823391	0.875384517660892
150	9.4	10.4646016892266	-1.06460168922661
151	11.5	10.3949460761852	1.10505392381483
152	9.9	9.88283408686952	0.017165913130479
153	9.4	10.4646016892266	-1.06460168922661
154	10.4	10.6067141493223	-0.206714149322303
155	9.7	10.4378078891085	-0.737807889108454
156	8.9	9.12721693732314	-0.227216937323144
157	8.9	9.12721693732314	-0.227216937323144
158	12.4	11.1155218554501	1.28447814454992
159	12.1	11.3549332689162	0.745066731083751
160	12.1	11.3549332689162	0.745066731083751
161	12.4	11.1155218554501	1.28447814454992
162	9.1	9.20750709494288	-0.107507094942877
163	10.6	10.3047686918789	0.295231308121054
164	8.9	9.12721693732314	-0.227216937323144
165	9.5	9.02294576171677	0.477054238283234
166	9.8	9.14917055777087	0.650829442229134
167	9.6	9.77333079150047	-0.17333079150047
168	12.6	11.1593706660642	1.44062933393582
169	9.3	9.55446729747697	-0.254467297476965
170	10	9.98954959697546	0.010450403024535
171	12.7	10.4980121689271	2.20198783107291
172	11	10.9366360985933	0.0633639014067479
173	11.4	10.4401916900259	0.959808309974087
174	11.5	10.9003509459249	0.59964905407512
175	10.2	8.75386051000738	1.44613948999262
176	11.4	10.2142358079806	1.18576419201938
177	12.6	10.2235363127415	2.37646368725848
178	9.4	9.1507660832347	0.249233916765298
179	8.7	9.95076643533084	-1.25076643533084
180	9.2	10.103823861778	-0.903823861777986
181	9.3	10.1191511605133	-0.819151160513314
182	9.2	9.98922864108424	-0.789228641084244
183	8.7	8.52721860068754	0.172781399312459
184	9.6	9.14831915559673	0.451680844403274
185	9.3	9.21039872676776	0.089601273232241
186	9.3	9.18740030998292	0.112599690017076
187	9.9	9.97785487766165	-0.077854877661645
188	11	10.3033683093313	0.696631690668738
189	12.7	11.3362187303612	1.36378126963877
190	8.9	9.10249322978294	-0.202493229782941
191	8.9	9.62525503762095	-0.725255037620945
192	8.7	8.52721860068754	0.172781399312459
193	11.4	10.2384667581719	1.16153324182809
194	9.6	10.025092244335	-0.425092244334964
195	9.1	8.11890764005025	0.98109235994975
196	9.1	8.47015460012089	0.629845399879105
197	9.1	8.14855433047788	0.951445669522123
198	8.9	9.35153764045921	-0.45153764045921
199	8.8	8.97006152476842	-0.170061524768421
200	8.9	9.35153764045921	-0.45153764045921
201	9.3	8.7837914667431	0.516208533256905
202	8.8	8.97006152476842	-0.170061524768421
203	9.6	8.81974051038486	0.78025948961514
204	12	9.78241728817128	2.21758271182872
205	10.2	10.0558625437444	0.144137456255622
206	8.8	9.59171732374374	-0.79171732374374
207	9.2	9.87036150416504	-0.670361504165045
208	9.9	9.89732822633091	0.00267177366908985
209	10.2	10.6234955036454	-0.423495503645388
210	9.5	10.5231026162919	-1.02310261629188
211	10.5	10.190044463376	0.309955536624007
212	11.2	11.2176284818825	-0.0176284818825105
213	9.2	9.87036150416504	-0.670361504165045
214	9.7	10.3418090096491	-0.641809009649074
215	11.1	11.2994392592033	-0.199439259203307
216	9.4	9.64382690237671	-0.243826902376714
217	11	9.91784369715696	1.08215630284304
218	9.4	9.64382690237671	-0.243826902376714
219	9.4	8.86956525866212	0.53043474133788
220	11	9.93641937357957	1.06358062642043
221	11	9.91784369715696	1.08215630284304
222	9.1	9.44025383520416	-0.340253835204161
223	11.1	11.2994392592033	-0.199439259203307
224	9.1	10.7171600511873	-1.61716005118732
225	10.4	10.5525435089389	-0.15254350893892
226	8.7	8.988811219375	-0.288811219374996
227	9.7	10.2483343942846	-0.548334394284642
228	9.1	9.31556372926483	-0.215563729264832
229	9.7	10.2483343942846	-0.548334394284642
230	8.7	8.988811219375	-0.288811219374996
231	8.9	9.00290512727269	-0.102905127272689
232	9.6	9.91058587826073	-0.310585878260734
233	9.5	9.86361772187485	-0.363617721874851
234	9	9.18714923353437	-0.187149233534367
235	9	9.18714923353437	-0.187149233534367
236	9	9.18714923353437	-0.187149233534367
237	9	9.18714923353437	-0.187149233534367
238	9.6	9.26149877050095	0.338501229499052
239	11.1	11.275836462549	-0.175836462549019
240	9.6	9.40219251928582	0.197807480714178
241	8.7	8.93846140957134	-0.238461409571344
242	10.4	10.2120995487526	0.187900451247365
243	11.4	11.349622029639	0.0503779703609641
244	9.7	10.1432225199839	-0.443222519983949
245	8.7	9.66810639776712	-0.968106397767117
246	11.3	10.2020543182432	1.09794568175681
247	12.6	11.0855113572489	1.51448864275111
248	10.9	11.4629500817488	-0.562950081748771
249	10.9	11.480581024051	-0.580581024050996
250	10	9.73171114708597	0.268288852914029
251	10	9.37662330206257	0.623376697937432
252	9.8	7.82235833451384	1.97764166548616
253	8.7	9.66810639776712	-0.968106397767117
254	11.7	10.0240226264825	1.67597737351747
255	9.3	10.5177213554719	-1.21772135547192
256	9.6	11.335543004901	-1.73554300490103
257	11	10.9426084703243	0.057391529675654
258	11	10.9426084703243	0.057391529675654
259	11.8	10.946274988803	0.85372501119704
260	11.4	10.5897894264476	0.810210573552387
261	10.2	10.469660715436	-0.269660715435974
262	8.9	8.86068563601182	0.0393143639881807
263	10.2	10.1844759347072	0.0155240652928105
264	9.6	9.223563422766	0.376436577234003
265	10.6	10.6888778052305	-0.0888778052305268
266	8.9	8.86068563601182	0.0393143639881807
267	9.2	9.7586670179473	-0.558667017947298
268	9.7	9.76709174320385	-0.0670917432038497
269	9.7	10.0532388855401	-0.353238885540144
270	9.7	10.0358775493784	-0.335877549378395
271	9.2	9.7586670179473	-0.558667017947298
272	9.7	9.75725668747042	-0.0572566874704178
273	9.3	9.26507049296108	0.0349295070389166
274	9	9.96548391781972	-0.96548391781972
275	9.5	9.21904103707665	0.28095896292335
276	9.8	9.93602237394668	-0.136022373946681
277	9.8	9.95567944759577	-0.15567944759577
278	10.6	10.8799930966599	-0.279993096659876
279	10.6	10.4880433557253	0.111956644274725
280	12.4	11.0408162308781	1.35918376912186
281	12.6	11.4465253875246	1.15347461247542
282	12.3	11.2832090183887	1.01679098161133
283	10.5	9.45367254164655	1.04632745835345
284	9.3	8.77697300152491	0.523026998475087
285	8.8	8.74178052378497	0.0582194762150252
286	8.8	9.51221500570391	-0.712215005703905
287	9.7	9.12737625374191	0.572623746258094
288	9	9.51701001887579	-0.517010018875792
289	9	9.51701001887579	-0.517010018875792
290	9	9.51701001887579	-0.517010018875792
291	9	9.51701001887579	-0.517010018875792
292	10.5	10.2702185654369	0.229781434563141
293	9.1	8.34524161357457	0.754758386425435
294	9.8	10.3831312729574	-0.58313127295743
295	8.5	9.24862880811909	-0.748628808119086
296	9.4	10.4721821908884	-1.07218219088836
297	9.4	9.60188714403305	-0.201887144033046
298	11.2	10.6270415234239	0.572958476576124

Goldfeld-Quandt test for Heteroskedasticity
p-values	Alternative Hypothesis
breakpoint index	greater	2-sided	less
14	6.61302628548314e-44	1.32260525709663e-43	1
15	2.32024393742377e-57	4.64048787484755e-57	1
16	4.63183643762539e-05	9.26367287525079e-05	0.999953681635624
17	0.013105227619882	0.0262104552397641	0.986894772380118
18	0.00470394515025884	0.00940789030051768	0.995296054849741
19	0.0402493766797198	0.0804987533594396	0.95975062332028
20	0.0215365243462587	0.0430730486925174	0.978463475653741
21	0.0107207052599671	0.0214414105199342	0.989279294740033
22	0.00514263451999302	0.010285269039986	0.994857365480007
23	0.00538162074610449	0.010763241492209	0.994618379253896
24	0.00883385905909649	0.017667718118193	0.991166140940903
25	0.00594188318332864	0.0118837663666573	0.994058116816671
26	0.00309582812019055	0.0061916562403811	0.996904171879809
27	0.00427819345183806	0.00855638690367613	0.995721806548162
28	0.0255382301200504	0.0510764602401009	0.97446176987995
29	0.0263205566231759	0.0526411132463518	0.973679443376824
30	0.0174902528309495	0.034980505661899	0.98250974716905
31	0.0395035734613927	0.0790071469227853	0.960496426538607
32	0.0294077885061058	0.0588155770122116	0.970592211493894
33	0.0194246371261787	0.0388492742523575	0.980575362873821
34	0.13290721088506	0.26581442177012	0.86709278911494
35	0.432788846310964	0.865577692621928	0.567211153689036
36	0.948806657441954	0.102386685116092	0.0511933425580462
37	0.932408008343541	0.135183983312918	0.0675919916564591
38	0.914306240616193	0.171387518767613	0.0856937593838065
39	0.902717557671373	0.194564884657254	0.0972824423286271
40	0.884763736245872	0.230472527508255	0.115236263754128
41	0.861188164377492	0.277623671245016	0.138811835622508
42	0.832419845047519	0.335160309904962	0.167580154952481
43	0.800571378391807	0.398857243216386	0.199428621608193
44	0.805017947761926	0.389964104476148	0.194982052238074
45	0.793207256143777	0.413585487712446	0.206792743856223
46	0.767138770916426	0.465722458167148	0.232861229083574
47	0.733185784049981	0.533628431900037	0.266814215950019
48	0.693638859568318	0.612722280863364	0.306361140431682
49	0.654787979227002	0.690424041545996	0.345212020772998
50	0.608857659623575	0.78228468075285	0.391142340376425
51	0.734670698064303	0.530658603871393	0.265329301935697
52	0.727157001774609	0.545685996450783	0.272842998225391
53	0.690710851878044	0.618578296243912	0.309289148121956
54	0.648183733184238	0.703632533631523	0.351816266815762
55	0.72176866905209	0.55646266189582	0.27823133094791
56	0.685234695217251	0.629530609565497	0.314765304782749
57	0.644819791796087	0.710360416407825	0.355180208203913
58	0.621587765275386	0.756824469449228	0.378412234724614
59	0.583764767765339	0.832470464469322	0.416235232234661
60	0.614554979843299	0.770890040313401	0.385445020156701
61	0.62973967326378	0.74052065347244	0.37026032673622
62	0.603783442981688	0.792433114036624	0.396216557018312
63	0.567545718592858	0.864908562814285	0.432454281407142
64	0.532301217701193	0.935397564597615	0.467698782298807
65	0.499048314515408	0.998096629030816	0.500951685484592
66	0.479161137388201	0.958322274776402	0.520838862611799
67	0.784850372938763	0.430299254122473	0.215149627061237
68	0.757647864726342	0.484704270547317	0.242352135273658
69	0.735932550531207	0.528134898937587	0.264067449468793
70	0.702992593570405	0.594014812859191	0.297007406429595
71	0.744540702327227	0.510918595345545	0.255459297672773
72	0.710899032779247	0.578201934441506	0.289100967220753
73	0.687537072872475	0.624925854255051	0.312462927127525
74	0.832505963926606	0.334988072146788	0.167494036073394
75	0.817490157184894	0.365019685630212	0.182509842815106
76	0.792349102782039	0.415301794435921	0.207650897217961
77	0.878776951412935	0.24244609717413	0.121223048587065
78	0.879522226404048	0.240955547191903	0.120477773595952
79	0.864527062479048	0.270945875041904	0.135472937520952
80	0.883534191904772	0.232931616190456	0.116465808095228
81	0.864622378130072	0.270755243739856	0.135377621869928
82	0.84286778067886	0.314264438642281	0.15713221932114
83	0.8293292584492	0.3413414831016	0.1706707415508
84	0.808760915450162	0.382478169099676	0.191239084549838
85	0.853126255705175	0.29374748858965	0.146873744294825
86	0.898141299555664	0.203717400888671	0.101858700444336
87	0.923972434286374	0.152055131427253	0.0760275657136263
88	0.914049701489733	0.171900597020535	0.0859502985102674
89	0.913561403630839	0.172877192738321	0.0864385963691606
90	0.927984054952907	0.144031890094185	0.0720159450470925
91	0.94048885045381	0.11902229909238	0.0595111495461902
92	0.929871910162594	0.140256179674811	0.0701280898374056
93	0.958603994508656	0.0827920109826879	0.0413960054913439
94	0.97546278881152	0.0490744223769606	0.0245372111884803
95	0.971502721254237	0.0569945574915262	0.0284972787457631
96	0.965734762131008	0.0685304757379847	0.0342652378689923
97	0.961789183907727	0.0764216321845454	0.0382108160922727
98	0.953830564902328	0.0923388701953439	0.046169435097672
99	0.948528996993868	0.102942006012265	0.0514710030061325
100	0.943935446190579	0.112129107618842	0.056064553809421
101	0.934435341568469	0.131129316863062	0.0655646584315311
102	0.922267899139333	0.155464201721334	0.0777321008606672
103	0.911736966436334	0.176526067127332	0.088263033563666
104	0.903920506451983	0.192158987096033	0.0960794935480166
105	0.889253372030091	0.221493255939817	0.110746627969909
106	0.876857029777482	0.246285940445036	0.123142970222518
107	0.85786651167494	0.28426697665012	0.14213348832506
108	0.838801196715168	0.322397606569663	0.161198803284832
109	0.818369259487327	0.363261481025346	0.181630740512673
110	0.79742603920949	0.405147921581021	0.20257396079051
111	0.793342966600701	0.413314066798598	0.206657033399299
112	0.780449921274904	0.439100157450193	0.219550078725096
113	0.758013163716801	0.483973672566398	0.241986836283199
114	0.739340201344239	0.521319597311522	0.260659798655761
115	0.719979379521941	0.560041240956118	0.280020620478059
116	0.690321622240601	0.619356755518797	0.309678377759399
117	0.69833734908535	0.6033253018293	0.30166265091465
118	0.70805934530305	0.583881309393899	0.29194065469695
119	0.682331254980103	0.635337490039794	0.317668745019897
120	0.655089786216404	0.689820427567191	0.344910213783596
121	0.633109125011915	0.733781749976171	0.366890874988085
122	0.61582723718633	0.76834552562734	0.38417276281367
123	0.582417781806957	0.835164436386086	0.417582218193043
124	0.618274578516123	0.763450842967755	0.381725421483877
125	0.587509064494079	0.824981871011841	0.412490935505921
126	0.55420049324937	0.89159901350126	0.44579950675063
127	0.53258217638764	0.934835647224721	0.46741782361236
128	0.525080714465144	0.949838571069712	0.474919285534856
129	0.491561701314914	0.983123402629829	0.508438298685086
130	0.472077074117887	0.944154148235775	0.527922925882113
131	0.461056393405769	0.922112786811538	0.538943606594231
132	0.449510315921606	0.899020631843212	0.550489684078394
133	0.415967465554843	0.831934931109686	0.584032534445157
134	0.385644682231995	0.771289364463991	0.614355317768005
135	0.378984459895872	0.757968919791745	0.621015540104128
136	0.364433294478589	0.728866588957178	0.635566705521411
137	0.339895919691446	0.679791839382892	0.660104080308554
138	0.35841044699275	0.716820893985499	0.64158955300725
139	0.339135246557658	0.678270493115316	0.660864753442342
140	0.330406545007375	0.66081309001475	0.669593454992625
141	0.30906777959153	0.618135559183061	0.69093222040847
142	0.333653794651064	0.667307589302128	0.666346205348936
143	0.30461264522164	0.60922529044328	0.69538735477836
144	0.338312112831045	0.676624225662091	0.661687887168955
145	0.31052513217521	0.621050264350421	0.68947486782479
146	0.283410421280708	0.566820842561416	0.716589578719292
147	0.26248976451861	0.524979529037219	0.73751023548139
148	0.256982267248661	0.513964534497321	0.743017732751339
149	0.265064989001138	0.530129978002276	0.734935010998862
150	0.287431803210724	0.574863606421448	0.712568196789276
151	0.31088404281603	0.62176808563206	0.68911595718397
152	0.283777631626311	0.567555263252622	0.716222368373689
153	0.308311634223737	0.616623268447474	0.691688365776263
154	0.28656758130231	0.573135162604619	0.71343241869769
155	0.299996660768225	0.59999332153645	0.700003339231775
156	0.273574748597127	0.547149497194254	0.726425251402873
157	0.248534892753273	0.497069785506546	0.751465107246727
158	0.299052336414653	0.598104672829306	0.700947663585347
159	0.299678232850863	0.599356465701725	0.700321767149137
160	0.307833113785824	0.615666227571648	0.692166886214176
161	0.374989948814661	0.749979897629321	0.625010051185339
162	0.355777170074584	0.711554340149168	0.644222829925416
163	0.333672695399743	0.667345390799486	0.666327304600257
164	0.307214943844877	0.614429887689753	0.692785056155123
165	0.291288226394464	0.582576452788928	0.708711773605536
166	0.284718207787184	0.569436415574368	0.715281792212816
167	0.259992326049158	0.519984652098317	0.740007673950842
168	0.348844042464932	0.697688084929863	0.651155957535068
169	0.327262298252897	0.654524596505794	0.672737701747103
170	0.298587419361924	0.597174838723848	0.701412580638076
171	0.54047568322549	0.91904863354902	0.45952431677451
172	0.507156669703055	0.98568666059389	0.492843330296945
173	0.531728301894366	0.936543396211268	0.468271698105634
174	0.527042513756469	0.945914972487062	0.472957486243531
175	0.592892494307626	0.814215011384748	0.407107505692374
176	0.660541848001217	0.678916303997566	0.339458151998783
177	0.87466660206628	0.250666795867439	0.12533339793372
178	0.858212365778785	0.28357526844243	0.141787634221215
179	0.880439412250955	0.23912117549809	0.119560587749045
180	0.891783771218285	0.21643245756343	0.108216228781715
181	0.896994297597218	0.206011404805564	0.103005702402782
182	0.89239000891444	0.21521998217112	0.10760999108556
183	0.878378601896087	0.243242796207826	0.121621398103913
184	0.866180981225784	0.267638037548432	0.133819018774216
185	0.846977854324774	0.306044291350451	0.153022145675226
186	0.825725980928566	0.348548038142867	0.174274019071434
187	0.803741096673301	0.392517806653398	0.196258903326699
188	0.799818341941012	0.400363316117977	0.200181658058989
189	0.872976268740574	0.254047462518852	0.127023731259426
190	0.857425722130743	0.285148555738514	0.142574277869257
191	0.855745618711627	0.288508762576746	0.144254381288373
192	0.838766346868979	0.322467306262042	0.161233653131021
193	0.87080481496869	0.258390370062621	0.12919518503131
194	0.860830397605845	0.27833920478831	0.139169602394155
195	0.867138015948965	0.26572396810207	0.132861984051035
196	0.864533011267642	0.270933977464715	0.135466988732358
197	0.9792967544397	0.0414064911205997	0.0207032455602998
198	0.975854977054424	0.0482900458911513	0.0241450229455756
199	0.971622386335238	0.0567552273295234	0.0283776136647617
200	0.96741912330494	0.0651617533901205	0.0325808766950602
201	0.961486156609962	0.0770276867800767	0.0385138433900383
202	0.95560221171322	0.0887955765735599	0.0443977882867799
203	0.956586195623509	0.0868276087529813	0.0434138043764907
204	0.988673579552995	0.0226528408940108	0.0113264204470054
205	0.986413639969481	0.0271727200610381	0.0135863600305191
206	0.988602898003702	0.0227942039925958	0.0113971019962979
207	0.988363327061497	0.023273345877007	0.0116366729385035
208	0.985243275704231	0.0295134485915389	0.0147567242957695
209	0.984475434752472	0.0310491304950562	0.0155245652475281
210	0.989653588893534	0.0206928222129316	0.0103464111064658
211	0.986910565198206	0.0261788696035882	0.0130894348017941
212	0.983180915430717	0.0336381691385655	0.0168190845692828
213	0.982764942085187	0.0344701158296253	0.0172350579148127
214	0.979052063986512	0.0418958720269768	0.0209479360134884
215	0.973672555220291	0.0526548895594191	0.0263274447797095
216	0.967242581332531	0.065514837334937	0.0327574186674685
217	0.971923452466864	0.0561530950662725	0.0280765475331363
218	0.964986540602544	0.0700269187949128	0.0350134593974564
219	0.959551418154666	0.0808971636906672	0.0404485818453336
220	0.967054995780905	0.0658900084381894	0.0329450042190947
221	0.978284591866706	0.0434308162665876	0.0217154081332938
222	0.974107706684005	0.0517845866319902	0.0258922933159951
223	0.967444849239554	0.0651103015208929	0.0325551507604465
224	0.981542419142213	0.0369151617155732	0.0184575808577866
225	0.976789320542356	0.0464213589152873	0.0232106794576436
226	0.973207735864991	0.0535845282700183	0.0267922641350091
227	0.968140660366443	0.0637186792671138	0.0318593396335569
228	0.960272727838592	0.0794545443228151	0.0397272721614076
229	0.95400074720108	0.091998505597841	0.0459992527989205
230	0.949474604839156	0.101050790321688	0.0505253951608438
231	0.939054536228054	0.121890927543892	0.0609454637719462
232	0.931582863134574	0.136834273730851	0.0684171368654257
233	0.928117992981033	0.143764014037934	0.0718820070189668
234	0.911997062740039	0.176005874519923	0.0880029372599614
235	0.893222781701749	0.213554436596502	0.106777218298251
236	0.87160761781356	0.25678476437288	0.12839238218644
237	0.847012300655436	0.305975398689128	0.152987699344564
238	0.838977469228229	0.322045061543542	0.161022530771771
239	0.814500828338094	0.370998343323812	0.185499171661906
240	0.818987320883671	0.362025358232658	0.181012679116329
241	0.796943517275939	0.406112965448122	0.203056482724061
242	0.800149794165035	0.399700411669931	0.199850205834965
243	0.765482772928022	0.469034454143955	0.234517227071978
244	0.734086458350156	0.531827083299689	0.265913541649844
245	0.761875748616495	0.47624850276701	0.238124251383505
246	0.744353375458061	0.511293249083877	0.255646624541939
247	0.801964378417599	0.396071243164802	0.198035621582401
248	0.774283500397754	0.451432999204491	0.225716499602246
249	0.74985541951281	0.500289160974381	0.25014458048719
250	0.71529611477536	0.56940777044928	0.28470388522464
251	0.683277818452761	0.633444363094478	0.316722181547239
252	0.890687780808952	0.218624438382096	0.109312219191048
253	0.960381937913567	0.0792361241728671	0.0396180620864335
254	0.960999983274805	0.0780000334503899	0.0390000167251949
255	0.965162611023175	0.0696747779536502	0.0348373889768251
256	0.996283799596316	0.00743240080736773	0.00371620040368386
257	0.994233557591758	0.0115328848164837	0.00576644240824183
258	0.991211772906744	0.0175764541865122	0.00878822709325612
259	0.989254137694223	0.0214917246115538	0.0107458623057769
260	0.989139256847146	0.0217214863057087	0.0108607431528544
261	0.984190605472268	0.031618789055464	0.015809394527732
262	0.979964659742904	0.0400706805141929	0.0200353402570965
263	0.973969935590964	0.0520601288180712	0.0260300644090356
264	0.962234332066983	0.0755313358660348	0.0377656679330174
265	0.947532791095045	0.10493441780991	0.0524672089049551
266	0.958137735518152	0.0837245289636951	0.0418622644818476
267	0.940486877493888	0.119026245012224	0.0595131225061122
268	0.915951365533435	0.16809726893313	0.084048634466565
269	0.890568865663297	0.218862268673405	0.109431134336703
270	0.86510585484134	0.26978829031732	0.13489414515866
271	0.820843925471174	0.358312149057652	0.179156074528826
272	0.79553648828798	0.408927023424041	0.204463511712021
273	0.735926227454687	0.528147545090626	0.264073772545313
274	0.927871292979207	0.144257414041585	0.0721287070207926
275	0.899065208005109	0.201869583989781	0.100934791994891
276	0.850463942821192	0.299072114357615	0.149536057178808
277	0.795115829348833	0.409768341302335	0.204884170651167
278	0.73098961576152	0.538020768476961	0.26901038423848
279	0.903948688012486	0.192102623975027	0.0960513119875136
280	0.909810828935647	0.180378342128706	0.0901891710643529
281	0.998322854767295	0.00335429046541047	0.00167714523270523
282	0.99710841678455	0.00578316643089944	0.00289158321544972
283	0.999999802419154	3.95161691668588e-07	1.97580845834294e-07
284	1	9.12836954062089e-48	4.56418477031044e-48

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
14 & 6.61302628548314e-44 & 1.32260525709663e-43 & 1 \tabularnewline
15 & 2.32024393742377e-57 & 4.64048787484755e-57 & 1 \tabularnewline
16 & 4.63183643762539e-05 & 9.26367287525079e-05 & 0.999953681635624 \tabularnewline
17 & 0.013105227619882 & 0.0262104552397641 & 0.986894772380118 \tabularnewline
18 & 0.00470394515025884 & 0.00940789030051768 & 0.995296054849741 \tabularnewline
19 & 0.0402493766797198 & 0.0804987533594396 & 0.95975062332028 \tabularnewline
20 & 0.0215365243462587 & 0.0430730486925174 & 0.978463475653741 \tabularnewline
21 & 0.0107207052599671 & 0.0214414105199342 & 0.989279294740033 \tabularnewline
22 & 0.00514263451999302 & 0.010285269039986 & 0.994857365480007 \tabularnewline
23 & 0.00538162074610449 & 0.010763241492209 & 0.994618379253896 \tabularnewline
24 & 0.00883385905909649 & 0.017667718118193 & 0.991166140940903 \tabularnewline
25 & 0.00594188318332864 & 0.0118837663666573 & 0.994058116816671 \tabularnewline
26 & 0.00309582812019055 & 0.0061916562403811 & 0.996904171879809 \tabularnewline
27 & 0.00427819345183806 & 0.00855638690367613 & 0.995721806548162 \tabularnewline
28 & 0.0255382301200504 & 0.0510764602401009 & 0.97446176987995 \tabularnewline
29 & 0.0263205566231759 & 0.0526411132463518 & 0.973679443376824 \tabularnewline
30 & 0.0174902528309495 & 0.034980505661899 & 0.98250974716905 \tabularnewline
31 & 0.0395035734613927 & 0.0790071469227853 & 0.960496426538607 \tabularnewline
32 & 0.0294077885061058 & 0.0588155770122116 & 0.970592211493894 \tabularnewline
33 & 0.0194246371261787 & 0.0388492742523575 & 0.980575362873821 \tabularnewline
34 & 0.13290721088506 & 0.26581442177012 & 0.86709278911494 \tabularnewline
35 & 0.432788846310964 & 0.865577692621928 & 0.567211153689036 \tabularnewline
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38 & 0.914306240616193 & 0.171387518767613 & 0.0856937593838065 \tabularnewline
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42 & 0.832419845047519 & 0.335160309904962 & 0.167580154952481 \tabularnewline
43 & 0.800571378391807 & 0.398857243216386 & 0.199428621608193 \tabularnewline
44 & 0.805017947761926 & 0.389964104476148 & 0.194982052238074 \tabularnewline
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52 & 0.727157001774609 & 0.545685996450783 & 0.272842998225391 \tabularnewline
53 & 0.690710851878044 & 0.618578296243912 & 0.309289148121956 \tabularnewline
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68 & 0.757647864726342 & 0.484704270547317 & 0.242352135273658 \tabularnewline
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70 & 0.702992593570405 & 0.594014812859191 & 0.297007406429595 \tabularnewline
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72 & 0.710899032779247 & 0.578201934441506 & 0.289100967220753 \tabularnewline
73 & 0.687537072872475 & 0.624925854255051 & 0.312462927127525 \tabularnewline
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75 & 0.817490157184894 & 0.365019685630212 & 0.182509842815106 \tabularnewline
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80 & 0.883534191904772 & 0.232931616190456 & 0.116465808095228 \tabularnewline
81 & 0.864622378130072 & 0.270755243739856 & 0.135377621869928 \tabularnewline
82 & 0.84286778067886 & 0.314264438642281 & 0.15713221932114 \tabularnewline
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92 & 0.929871910162594 & 0.140256179674811 & 0.0701280898374056 \tabularnewline
93 & 0.958603994508656 & 0.0827920109826879 & 0.0413960054913439 \tabularnewline
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100 & 0.943935446190579 & 0.112129107618842 & 0.056064553809421 \tabularnewline
101 & 0.934435341568469 & 0.131129316863062 & 0.0655646584315311 \tabularnewline
102 & 0.922267899139333 & 0.155464201721334 & 0.0777321008606672 \tabularnewline
103 & 0.911736966436334 & 0.176526067127332 & 0.088263033563666 \tabularnewline
104 & 0.903920506451983 & 0.192158987096033 & 0.0960794935480166 \tabularnewline
105 & 0.889253372030091 & 0.221493255939817 & 0.110746627969909 \tabularnewline
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107 & 0.85786651167494 & 0.28426697665012 & 0.14213348832506 \tabularnewline
108 & 0.838801196715168 & 0.322397606569663 & 0.161198803284832 \tabularnewline
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113 & 0.758013163716801 & 0.483973672566398 & 0.241986836283199 \tabularnewline
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115 & 0.719979379521941 & 0.560041240956118 & 0.280020620478059 \tabularnewline
116 & 0.690321622240601 & 0.619356755518797 & 0.309678377759399 \tabularnewline
117 & 0.69833734908535 & 0.6033253018293 & 0.30166265091465 \tabularnewline
118 & 0.70805934530305 & 0.583881309393899 & 0.29194065469695 \tabularnewline
119 & 0.682331254980103 & 0.635337490039794 & 0.317668745019897 \tabularnewline
120 & 0.655089786216404 & 0.689820427567191 & 0.344910213783596 \tabularnewline
121 & 0.633109125011915 & 0.733781749976171 & 0.366890874988085 \tabularnewline
122 & 0.61582723718633 & 0.76834552562734 & 0.38417276281367 \tabularnewline
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124 & 0.618274578516123 & 0.763450842967755 & 0.381725421483877 \tabularnewline
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126 & 0.55420049324937 & 0.89159901350126 & 0.44579950675063 \tabularnewline
127 & 0.53258217638764 & 0.934835647224721 & 0.46741782361236 \tabularnewline
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129 & 0.491561701314914 & 0.983123402629829 & 0.508438298685086 \tabularnewline
130 & 0.472077074117887 & 0.944154148235775 & 0.527922925882113 \tabularnewline
131 & 0.461056393405769 & 0.922112786811538 & 0.538943606594231 \tabularnewline
132 & 0.449510315921606 & 0.899020631843212 & 0.550489684078394 \tabularnewline
133 & 0.415967465554843 & 0.831934931109686 & 0.584032534445157 \tabularnewline
134 & 0.385644682231995 & 0.771289364463991 & 0.614355317768005 \tabularnewline
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136 & 0.364433294478589 & 0.728866588957178 & 0.635566705521411 \tabularnewline
137 & 0.339895919691446 & 0.679791839382892 & 0.660104080308554 \tabularnewline
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139 & 0.339135246557658 & 0.678270493115316 & 0.660864753442342 \tabularnewline
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255 & 0.965162611023175 & 0.0696747779536502 & 0.0348373889768251 \tabularnewline
256 & 0.996283799596316 & 0.00743240080736773 & 0.00371620040368386 \tabularnewline
257 & 0.994233557591758 & 0.0115328848164837 & 0.00576644240824183 \tabularnewline
258 & 0.991211772906744 & 0.0175764541865122 & 0.00878822709325612 \tabularnewline
259 & 0.989254137694223 & 0.0214917246115538 & 0.0107458623057769 \tabularnewline
260 & 0.989139256847146 & 0.0217214863057087 & 0.0108607431528544 \tabularnewline
261 & 0.984190605472268 & 0.031618789055464 & 0.015809394527732 \tabularnewline
262 & 0.979964659742904 & 0.0400706805141929 & 0.0200353402570965 \tabularnewline
263 & 0.973969935590964 & 0.0520601288180712 & 0.0260300644090356 \tabularnewline
264 & 0.962234332066983 & 0.0755313358660348 & 0.0377656679330174 \tabularnewline
265 & 0.947532791095045 & 0.10493441780991 & 0.0524672089049551 \tabularnewline
266 & 0.958137735518152 & 0.0837245289636951 & 0.0418622644818476 \tabularnewline
267 & 0.940486877493888 & 0.119026245012224 & 0.0595131225061122 \tabularnewline
268 & 0.915951365533435 & 0.16809726893313 & 0.084048634466565 \tabularnewline
269 & 0.890568865663297 & 0.218862268673405 & 0.109431134336703 \tabularnewline
270 & 0.86510585484134 & 0.26978829031732 & 0.13489414515866 \tabularnewline
271 & 0.820843925471174 & 0.358312149057652 & 0.179156074528826 \tabularnewline
272 & 0.79553648828798 & 0.408927023424041 & 0.204463511712021 \tabularnewline
273 & 0.735926227454687 & 0.528147545090626 & 0.264073772545313 \tabularnewline
274 & 0.927871292979207 & 0.144257414041585 & 0.0721287070207926 \tabularnewline
275 & 0.899065208005109 & 0.201869583989781 & 0.100934791994891 \tabularnewline
276 & 0.850463942821192 & 0.299072114357615 & 0.149536057178808 \tabularnewline
277 & 0.795115829348833 & 0.409768341302335 & 0.204884170651167 \tabularnewline
278 & 0.73098961576152 & 0.538020768476961 & 0.26901038423848 \tabularnewline
279 & 0.903948688012486 & 0.192102623975027 & 0.0960513119875136 \tabularnewline
280 & 0.909810828935647 & 0.180378342128706 & 0.0901891710643529 \tabularnewline
281 & 0.998322854767295 & 0.00335429046541047 & 0.00167714523270523 \tabularnewline
282 & 0.99710841678455 & 0.00578316643089944 & 0.00289158321544972 \tabularnewline
283 & 0.999999802419154 & 3.95161691668588e-07 & 1.97580845834294e-07 \tabularnewline
284 & 1 & 9.12836954062089e-48 & 4.56418477031044e-48 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154781&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]14[/C][C]6.61302628548314e-44[/C][C]1.32260525709663e-43[/C][C]1[/C][/ROW]
[ROW][C]15[/C][C]2.32024393742377e-57[/C][C]4.64048787484755e-57[/C][C]1[/C][/ROW]
[ROW][C]16[/C][C]4.63183643762539e-05[/C][C]9.26367287525079e-05[/C][C]0.999953681635624[/C][/ROW]
[ROW][C]17[/C][C]0.013105227619882[/C][C]0.0262104552397641[/C][C]0.986894772380118[/C][/ROW]
[ROW][C]18[/C][C]0.00470394515025884[/C][C]0.00940789030051768[/C][C]0.995296054849741[/C][/ROW]
[ROW][C]19[/C][C]0.0402493766797198[/C][C]0.0804987533594396[/C][C]0.95975062332028[/C][/ROW]
[ROW][C]20[/C][C]0.0215365243462587[/C][C]0.0430730486925174[/C][C]0.978463475653741[/C][/ROW]
[ROW][C]21[/C][C]0.0107207052599671[/C][C]0.0214414105199342[/C][C]0.989279294740033[/C][/ROW]
[ROW][C]22[/C][C]0.00514263451999302[/C][C]0.010285269039986[/C][C]0.994857365480007[/C][/ROW]
[ROW][C]23[/C][C]0.00538162074610449[/C][C]0.010763241492209[/C][C]0.994618379253896[/C][/ROW]
[ROW][C]24[/C][C]0.00883385905909649[/C][C]0.017667718118193[/C][C]0.991166140940903[/C][/ROW]
[ROW][C]25[/C][C]0.00594188318332864[/C][C]0.0118837663666573[/C][C]0.994058116816671[/C][/ROW]
[ROW][C]26[/C][C]0.00309582812019055[/C][C]0.0061916562403811[/C][C]0.996904171879809[/C][/ROW]
[ROW][C]27[/C][C]0.00427819345183806[/C][C]0.00855638690367613[/C][C]0.995721806548162[/C][/ROW]
[ROW][C]28[/C][C]0.0255382301200504[/C][C]0.0510764602401009[/C][C]0.97446176987995[/C][/ROW]
[ROW][C]29[/C][C]0.0263205566231759[/C][C]0.0526411132463518[/C][C]0.973679443376824[/C][/ROW]
[ROW][C]30[/C][C]0.0174902528309495[/C][C]0.034980505661899[/C][C]0.98250974716905[/C][/ROW]
[ROW][C]31[/C][C]0.0395035734613927[/C][C]0.0790071469227853[/C][C]0.960496426538607[/C][/ROW]
[ROW][C]32[/C][C]0.0294077885061058[/C][C]0.0588155770122116[/C][C]0.970592211493894[/C][/ROW]
[ROW][C]33[/C][C]0.0194246371261787[/C][C]0.0388492742523575[/C][C]0.980575362873821[/C][/ROW]
[ROW][C]34[/C][C]0.13290721088506[/C][C]0.26581442177012[/C][C]0.86709278911494[/C][/ROW]
[ROW][C]35[/C][C]0.432788846310964[/C][C]0.865577692621928[/C][C]0.567211153689036[/C][/ROW]
[ROW][C]36[/C][C]0.948806657441954[/C][C]0.102386685116092[/C][C]0.0511933425580462[/C][/ROW]
[ROW][C]37[/C][C]0.932408008343541[/C][C]0.135183983312918[/C][C]0.0675919916564591[/C][/ROW]
[ROW][C]38[/C][C]0.914306240616193[/C][C]0.171387518767613[/C][C]0.0856937593838065[/C][/ROW]
[ROW][C]39[/C][C]0.902717557671373[/C][C]0.194564884657254[/C][C]0.0972824423286271[/C][/ROW]
[ROW][C]40[/C][C]0.884763736245872[/C][C]0.230472527508255[/C][C]0.115236263754128[/C][/ROW]
[ROW][C]41[/C][C]0.861188164377492[/C][C]0.277623671245016[/C][C]0.138811835622508[/C][/ROW]
[ROW][C]42[/C][C]0.832419845047519[/C][C]0.335160309904962[/C][C]0.167580154952481[/C][/ROW]
[ROW][C]43[/C][C]0.800571378391807[/C][C]0.398857243216386[/C][C]0.199428621608193[/C][/ROW]
[ROW][C]44[/C][C]0.805017947761926[/C][C]0.389964104476148[/C][C]0.194982052238074[/C][/ROW]
[ROW][C]45[/C][C]0.793207256143777[/C][C]0.413585487712446[/C][C]0.206792743856223[/C][/ROW]
[ROW][C]46[/C][C]0.767138770916426[/C][C]0.465722458167148[/C][C]0.232861229083574[/C][/ROW]
[ROW][C]47[/C][C]0.733185784049981[/C][C]0.533628431900037[/C][C]0.266814215950019[/C][/ROW]
[ROW][C]48[/C][C]0.693638859568318[/C][C]0.612722280863364[/C][C]0.306361140431682[/C][/ROW]
[ROW][C]49[/C][C]0.654787979227002[/C][C]0.690424041545996[/C][C]0.345212020772998[/C][/ROW]
[ROW][C]50[/C][C]0.608857659623575[/C][C]0.78228468075285[/C][C]0.391142340376425[/C][/ROW]
[ROW][C]51[/C][C]0.734670698064303[/C][C]0.530658603871393[/C][C]0.265329301935697[/C][/ROW]
[ROW][C]52[/C][C]0.727157001774609[/C][C]0.545685996450783[/C][C]0.272842998225391[/C][/ROW]
[ROW][C]53[/C][C]0.690710851878044[/C][C]0.618578296243912[/C][C]0.309289148121956[/C][/ROW]
[ROW][C]54[/C][C]0.648183733184238[/C][C]0.703632533631523[/C][C]0.351816266815762[/C][/ROW]
[ROW][C]55[/C][C]0.72176866905209[/C][C]0.55646266189582[/C][C]0.27823133094791[/C][/ROW]
[ROW][C]56[/C][C]0.685234695217251[/C][C]0.629530609565497[/C][C]0.314765304782749[/C][/ROW]
[ROW][C]57[/C][C]0.644819791796087[/C][C]0.710360416407825[/C][C]0.355180208203913[/C][/ROW]
[ROW][C]58[/C][C]0.621587765275386[/C][C]0.756824469449228[/C][C]0.378412234724614[/C][/ROW]
[ROW][C]59[/C][C]0.583764767765339[/C][C]0.832470464469322[/C][C]0.416235232234661[/C][/ROW]
[ROW][C]60[/C][C]0.614554979843299[/C][C]0.770890040313401[/C][C]0.385445020156701[/C][/ROW]
[ROW][C]61[/C][C]0.62973967326378[/C][C]0.74052065347244[/C][C]0.37026032673622[/C][/ROW]
[ROW][C]62[/C][C]0.603783442981688[/C][C]0.792433114036624[/C][C]0.396216557018312[/C][/ROW]
[ROW][C]63[/C][C]0.567545718592858[/C][C]0.864908562814285[/C][C]0.432454281407142[/C][/ROW]
[ROW][C]64[/C][C]0.532301217701193[/C][C]0.935397564597615[/C][C]0.467698782298807[/C][/ROW]
[ROW][C]65[/C][C]0.499048314515408[/C][C]0.998096629030816[/C][C]0.500951685484592[/C][/ROW]
[ROW][C]66[/C][C]0.479161137388201[/C][C]0.958322274776402[/C][C]0.520838862611799[/C][/ROW]
[ROW][C]67[/C][C]0.784850372938763[/C][C]0.430299254122473[/C][C]0.215149627061237[/C][/ROW]
[ROW][C]68[/C][C]0.757647864726342[/C][C]0.484704270547317[/C][C]0.242352135273658[/C][/ROW]
[ROW][C]69[/C][C]0.735932550531207[/C][C]0.528134898937587[/C][C]0.264067449468793[/C][/ROW]
[ROW][C]70[/C][C]0.702992593570405[/C][C]0.594014812859191[/C][C]0.297007406429595[/C][/ROW]
[ROW][C]71[/C][C]0.744540702327227[/C][C]0.510918595345545[/C][C]0.255459297672773[/C][/ROW]
[ROW][C]72[/C][C]0.710899032779247[/C][C]0.578201934441506[/C][C]0.289100967220753[/C][/ROW]
[ROW][C]73[/C][C]0.687537072872475[/C][C]0.624925854255051[/C][C]0.312462927127525[/C][/ROW]
[ROW][C]74[/C][C]0.832505963926606[/C][C]0.334988072146788[/C][C]0.167494036073394[/C][/ROW]
[ROW][C]75[/C][C]0.817490157184894[/C][C]0.365019685630212[/C][C]0.182509842815106[/C][/ROW]
[ROW][C]76[/C][C]0.792349102782039[/C][C]0.415301794435921[/C][C]0.207650897217961[/C][/ROW]
[ROW][C]77[/C][C]0.878776951412935[/C][C]0.24244609717413[/C][C]0.121223048587065[/C][/ROW]
[ROW][C]78[/C][C]0.879522226404048[/C][C]0.240955547191903[/C][C]0.120477773595952[/C][/ROW]
[ROW][C]79[/C][C]0.864527062479048[/C][C]0.270945875041904[/C][C]0.135472937520952[/C][/ROW]
[ROW][C]80[/C][C]0.883534191904772[/C][C]0.232931616190456[/C][C]0.116465808095228[/C][/ROW]
[ROW][C]81[/C][C]0.864622378130072[/C][C]0.270755243739856[/C][C]0.135377621869928[/C][/ROW]
[ROW][C]82[/C][C]0.84286778067886[/C][C]0.314264438642281[/C][C]0.15713221932114[/C][/ROW]
[ROW][C]83[/C][C]0.8293292584492[/C][C]0.3413414831016[/C][C]0.1706707415508[/C][/ROW]
[ROW][C]84[/C][C]0.808760915450162[/C][C]0.382478169099676[/C][C]0.191239084549838[/C][/ROW]
[ROW][C]85[/C][C]0.853126255705175[/C][C]0.29374748858965[/C][C]0.146873744294825[/C][/ROW]
[ROW][C]86[/C][C]0.898141299555664[/C][C]0.203717400888671[/C][C]0.101858700444336[/C][/ROW]
[ROW][C]87[/C][C]0.923972434286374[/C][C]0.152055131427253[/C][C]0.0760275657136263[/C][/ROW]
[ROW][C]88[/C][C]0.914049701489733[/C][C]0.171900597020535[/C][C]0.0859502985102674[/C][/ROW]
[ROW][C]89[/C][C]0.913561403630839[/C][C]0.172877192738321[/C][C]0.0864385963691606[/C][/ROW]
[ROW][C]90[/C][C]0.927984054952907[/C][C]0.144031890094185[/C][C]0.0720159450470925[/C][/ROW]
[ROW][C]91[/C][C]0.94048885045381[/C][C]0.11902229909238[/C][C]0.0595111495461902[/C][/ROW]
[ROW][C]92[/C][C]0.929871910162594[/C][C]0.140256179674811[/C][C]0.0701280898374056[/C][/ROW]
[ROW][C]93[/C][C]0.958603994508656[/C][C]0.0827920109826879[/C][C]0.0413960054913439[/C][/ROW]
[ROW][C]94[/C][C]0.97546278881152[/C][C]0.0490744223769606[/C][C]0.0245372111884803[/C][/ROW]
[ROW][C]95[/C][C]0.971502721254237[/C][C]0.0569945574915262[/C][C]0.0284972787457631[/C][/ROW]
[ROW][C]96[/C][C]0.965734762131008[/C][C]0.0685304757379847[/C][C]0.0342652378689923[/C][/ROW]
[ROW][C]97[/C][C]0.961789183907727[/C][C]0.0764216321845454[/C][C]0.0382108160922727[/C][/ROW]
[ROW][C]98[/C][C]0.953830564902328[/C][C]0.0923388701953439[/C][C]0.046169435097672[/C][/ROW]
[ROW][C]99[/C][C]0.948528996993868[/C][C]0.102942006012265[/C][C]0.0514710030061325[/C][/ROW]
[ROW][C]100[/C][C]0.943935446190579[/C][C]0.112129107618842[/C][C]0.056064553809421[/C][/ROW]
[ROW][C]101[/C][C]0.934435341568469[/C][C]0.131129316863062[/C][C]0.0655646584315311[/C][/ROW]
[ROW][C]102[/C][C]0.922267899139333[/C][C]0.155464201721334[/C][C]0.0777321008606672[/C][/ROW]
[ROW][C]103[/C][C]0.911736966436334[/C][C]0.176526067127332[/C][C]0.088263033563666[/C][/ROW]
[ROW][C]104[/C][C]0.903920506451983[/C][C]0.192158987096033[/C][C]0.0960794935480166[/C][/ROW]
[ROW][C]105[/C][C]0.889253372030091[/C][C]0.221493255939817[/C][C]0.110746627969909[/C][/ROW]
[ROW][C]106[/C][C]0.876857029777482[/C][C]0.246285940445036[/C][C]0.123142970222518[/C][/ROW]
[ROW][C]107[/C][C]0.85786651167494[/C][C]0.28426697665012[/C][C]0.14213348832506[/C][/ROW]
[ROW][C]108[/C][C]0.838801196715168[/C][C]0.322397606569663[/C][C]0.161198803284832[/C][/ROW]
[ROW][C]109[/C][C]0.818369259487327[/C][C]0.363261481025346[/C][C]0.181630740512673[/C][/ROW]
[ROW][C]110[/C][C]0.79742603920949[/C][C]0.405147921581021[/C][C]0.20257396079051[/C][/ROW]
[ROW][C]111[/C][C]0.793342966600701[/C][C]0.413314066798598[/C][C]0.206657033399299[/C][/ROW]
[ROW][C]112[/C][C]0.780449921274904[/C][C]0.439100157450193[/C][C]0.219550078725096[/C][/ROW]
[ROW][C]113[/C][C]0.758013163716801[/C][C]0.483973672566398[/C][C]0.241986836283199[/C][/ROW]
[ROW][C]114[/C][C]0.739340201344239[/C][C]0.521319597311522[/C][C]0.260659798655761[/C][/ROW]
[ROW][C]115[/C][C]0.719979379521941[/C][C]0.560041240956118[/C][C]0.280020620478059[/C][/ROW]
[ROW][C]116[/C][C]0.690321622240601[/C][C]0.619356755518797[/C][C]0.309678377759399[/C][/ROW]
[ROW][C]117[/C][C]0.69833734908535[/C][C]0.6033253018293[/C][C]0.30166265091465[/C][/ROW]
[ROW][C]118[/C][C]0.70805934530305[/C][C]0.583881309393899[/C][C]0.29194065469695[/C][/ROW]
[ROW][C]119[/C][C]0.682331254980103[/C][C]0.635337490039794[/C][C]0.317668745019897[/C][/ROW]
[ROW][C]120[/C][C]0.655089786216404[/C][C]0.689820427567191[/C][C]0.344910213783596[/C][/ROW]
[ROW][C]121[/C][C]0.633109125011915[/C][C]0.733781749976171[/C][C]0.366890874988085[/C][/ROW]
[ROW][C]122[/C][C]0.61582723718633[/C][C]0.76834552562734[/C][C]0.38417276281367[/C][/ROW]
[ROW][C]123[/C][C]0.582417781806957[/C][C]0.835164436386086[/C][C]0.417582218193043[/C][/ROW]
[ROW][C]124[/C][C]0.618274578516123[/C][C]0.763450842967755[/C][C]0.381725421483877[/C][/ROW]
[ROW][C]125[/C][C]0.587509064494079[/C][C]0.824981871011841[/C][C]0.412490935505921[/C][/ROW]
[ROW][C]126[/C][C]0.55420049324937[/C][C]0.89159901350126[/C][C]0.44579950675063[/C][/ROW]
[ROW][C]127[/C][C]0.53258217638764[/C][C]0.934835647224721[/C][C]0.46741782361236[/C][/ROW]
[ROW][C]128[/C][C]0.525080714465144[/C][C]0.949838571069712[/C][C]0.474919285534856[/C][/ROW]
[ROW][C]129[/C][C]0.491561701314914[/C][C]0.983123402629829[/C][C]0.508438298685086[/C][/ROW]
[ROW][C]130[/C][C]0.472077074117887[/C][C]0.944154148235775[/C][C]0.527922925882113[/C][/ROW]
[ROW][C]131[/C][C]0.461056393405769[/C][C]0.922112786811538[/C][C]0.538943606594231[/C][/ROW]
[ROW][C]132[/C][C]0.449510315921606[/C][C]0.899020631843212[/C][C]0.550489684078394[/C][/ROW]
[ROW][C]133[/C][C]0.415967465554843[/C][C]0.831934931109686[/C][C]0.584032534445157[/C][/ROW]
[ROW][C]134[/C][C]0.385644682231995[/C][C]0.771289364463991[/C][C]0.614355317768005[/C][/ROW]
[ROW][C]135[/C][C]0.378984459895872[/C][C]0.757968919791745[/C][C]0.621015540104128[/C][/ROW]
[ROW][C]136[/C][C]0.364433294478589[/C][C]0.728866588957178[/C][C]0.635566705521411[/C][/ROW]
[ROW][C]137[/C][C]0.339895919691446[/C][C]0.679791839382892[/C][C]0.660104080308554[/C][/ROW]
[ROW][C]138[/C][C]0.35841044699275[/C][C]0.716820893985499[/C][C]0.64158955300725[/C][/ROW]
[ROW][C]139[/C][C]0.339135246557658[/C][C]0.678270493115316[/C][C]0.660864753442342[/C][/ROW]
[ROW][C]140[/C][C]0.330406545007375[/C][C]0.66081309001475[/C][C]0.669593454992625[/C][/ROW]
[ROW][C]141[/C][C]0.30906777959153[/C][C]0.618135559183061[/C][C]0.69093222040847[/C][/ROW]
[ROW][C]142[/C][C]0.333653794651064[/C][C]0.667307589302128[/C][C]0.666346205348936[/C][/ROW]
[ROW][C]143[/C][C]0.30461264522164[/C][C]0.60922529044328[/C][C]0.69538735477836[/C][/ROW]
[ROW][C]144[/C][C]0.338312112831045[/C][C]0.676624225662091[/C][C]0.661687887168955[/C][/ROW]
[ROW][C]145[/C][C]0.31052513217521[/C][C]0.621050264350421[/C][C]0.68947486782479[/C][/ROW]
[ROW][C]146[/C][C]0.283410421280708[/C][C]0.566820842561416[/C][C]0.716589578719292[/C][/ROW]
[ROW][C]147[/C][C]0.26248976451861[/C][C]0.524979529037219[/C][C]0.73751023548139[/C][/ROW]
[ROW][C]148[/C][C]0.256982267248661[/C][C]0.513964534497321[/C][C]0.743017732751339[/C][/ROW]
[ROW][C]149[/C][C]0.265064989001138[/C][C]0.530129978002276[/C][C]0.734935010998862[/C][/ROW]
[ROW][C]150[/C][C]0.287431803210724[/C][C]0.574863606421448[/C][C]0.712568196789276[/C][/ROW]
[ROW][C]151[/C][C]0.31088404281603[/C][C]0.62176808563206[/C][C]0.68911595718397[/C][/ROW]
[ROW][C]152[/C][C]0.283777631626311[/C][C]0.567555263252622[/C][C]0.716222368373689[/C][/ROW]
[ROW][C]153[/C][C]0.308311634223737[/C][C]0.616623268447474[/C][C]0.691688365776263[/C][/ROW]
[ROW][C]154[/C][C]0.28656758130231[/C][C]0.573135162604619[/C][C]0.71343241869769[/C][/ROW]
[ROW][C]155[/C][C]0.299996660768225[/C][C]0.59999332153645[/C][C]0.700003339231775[/C][/ROW]
[ROW][C]156[/C][C]0.273574748597127[/C][C]0.547149497194254[/C][C]0.726425251402873[/C][/ROW]
[ROW][C]157[/C][C]0.248534892753273[/C][C]0.497069785506546[/C][C]0.751465107246727[/C][/ROW]
[ROW][C]158[/C][C]0.299052336414653[/C][C]0.598104672829306[/C][C]0.700947663585347[/C][/ROW]
[ROW][C]159[/C][C]0.299678232850863[/C][C]0.599356465701725[/C][C]0.700321767149137[/C][/ROW]
[ROW][C]160[/C][C]0.307833113785824[/C][C]0.615666227571648[/C][C]0.692166886214176[/C][/ROW]
[ROW][C]161[/C][C]0.374989948814661[/C][C]0.749979897629321[/C][C]0.625010051185339[/C][/ROW]
[ROW][C]162[/C][C]0.355777170074584[/C][C]0.711554340149168[/C][C]0.644222829925416[/C][/ROW]
[ROW][C]163[/C][C]0.333672695399743[/C][C]0.667345390799486[/C][C]0.666327304600257[/C][/ROW]
[ROW][C]164[/C][C]0.307214943844877[/C][C]0.614429887689753[/C][C]0.692785056155123[/C][/ROW]
[ROW][C]165[/C][C]0.291288226394464[/C][C]0.582576452788928[/C][C]0.708711773605536[/C][/ROW]
[ROW][C]166[/C][C]0.284718207787184[/C][C]0.569436415574368[/C][C]0.715281792212816[/C][/ROW]
[ROW][C]167[/C][C]0.259992326049158[/C][C]0.519984652098317[/C][C]0.740007673950842[/C][/ROW]
[ROW][C]168[/C][C]0.348844042464932[/C][C]0.697688084929863[/C][C]0.651155957535068[/C][/ROW]
[ROW][C]169[/C][C]0.327262298252897[/C][C]0.654524596505794[/C][C]0.672737701747103[/C][/ROW]
[ROW][C]170[/C][C]0.298587419361924[/C][C]0.597174838723848[/C][C]0.701412580638076[/C][/ROW]
[ROW][C]171[/C][C]0.54047568322549[/C][C]0.91904863354902[/C][C]0.45952431677451[/C][/ROW]
[ROW][C]172[/C][C]0.507156669703055[/C][C]0.98568666059389[/C][C]0.492843330296945[/C][/ROW]
[ROW][C]173[/C][C]0.531728301894366[/C][C]0.936543396211268[/C][C]0.468271698105634[/C][/ROW]
[ROW][C]174[/C][C]0.527042513756469[/C][C]0.945914972487062[/C][C]0.472957486243531[/C][/ROW]
[ROW][C]175[/C][C]0.592892494307626[/C][C]0.814215011384748[/C][C]0.407107505692374[/C][/ROW]
[ROW][C]176[/C][C]0.660541848001217[/C][C]0.678916303997566[/C][C]0.339458151998783[/C][/ROW]
[ROW][C]177[/C][C]0.87466660206628[/C][C]0.250666795867439[/C][C]0.12533339793372[/C][/ROW]
[ROW][C]178[/C][C]0.858212365778785[/C][C]0.28357526844243[/C][C]0.141787634221215[/C][/ROW]
[ROW][C]179[/C][C]0.880439412250955[/C][C]0.23912117549809[/C][C]0.119560587749045[/C][/ROW]
[ROW][C]180[/C][C]0.891783771218285[/C][C]0.21643245756343[/C][C]0.108216228781715[/C][/ROW]
[ROW][C]181[/C][C]0.896994297597218[/C][C]0.206011404805564[/C][C]0.103005702402782[/C][/ROW]
[ROW][C]182[/C][C]0.89239000891444[/C][C]0.21521998217112[/C][C]0.10760999108556[/C][/ROW]
[ROW][C]183[/C][C]0.878378601896087[/C][C]0.243242796207826[/C][C]0.121621398103913[/C][/ROW]
[ROW][C]184[/C][C]0.866180981225784[/C][C]0.267638037548432[/C][C]0.133819018774216[/C][/ROW]
[ROW][C]185[/C][C]0.846977854324774[/C][C]0.306044291350451[/C][C]0.153022145675226[/C][/ROW]
[ROW][C]186[/C][C]0.825725980928566[/C][C]0.348548038142867[/C][C]0.174274019071434[/C][/ROW]
[ROW][C]187[/C][C]0.803741096673301[/C][C]0.392517806653398[/C][C]0.196258903326699[/C][/ROW]
[ROW][C]188[/C][C]0.799818341941012[/C][C]0.400363316117977[/C][C]0.200181658058989[/C][/ROW]
[ROW][C]189[/C][C]0.872976268740574[/C][C]0.254047462518852[/C][C]0.127023731259426[/C][/ROW]
[ROW][C]190[/C][C]0.857425722130743[/C][C]0.285148555738514[/C][C]0.142574277869257[/C][/ROW]
[ROW][C]191[/C][C]0.855745618711627[/C][C]0.288508762576746[/C][C]0.144254381288373[/C][/ROW]
[ROW][C]192[/C][C]0.838766346868979[/C][C]0.322467306262042[/C][C]0.161233653131021[/C][/ROW]
[ROW][C]193[/C][C]0.87080481496869[/C][C]0.258390370062621[/C][C]0.12919518503131[/C][/ROW]
[ROW][C]194[/C][C]0.860830397605845[/C][C]0.27833920478831[/C][C]0.139169602394155[/C][/ROW]
[ROW][C]195[/C][C]0.867138015948965[/C][C]0.26572396810207[/C][C]0.132861984051035[/C][/ROW]
[ROW][C]196[/C][C]0.864533011267642[/C][C]0.270933977464715[/C][C]0.135466988732358[/C][/ROW]
[ROW][C]197[/C][C]0.9792967544397[/C][C]0.0414064911205997[/C][C]0.0207032455602998[/C][/ROW]
[ROW][C]198[/C][C]0.975854977054424[/C][C]0.0482900458911513[/C][C]0.0241450229455756[/C][/ROW]
[ROW][C]199[/C][C]0.971622386335238[/C][C]0.0567552273295234[/C][C]0.0283776136647617[/C][/ROW]
[ROW][C]200[/C][C]0.96741912330494[/C][C]0.0651617533901205[/C][C]0.0325808766950602[/C][/ROW]
[ROW][C]201[/C][C]0.961486156609962[/C][C]0.0770276867800767[/C][C]0.0385138433900383[/C][/ROW]
[ROW][C]202[/C][C]0.95560221171322[/C][C]0.0887955765735599[/C][C]0.0443977882867799[/C][/ROW]
[ROW][C]203[/C][C]0.956586195623509[/C][C]0.0868276087529813[/C][C]0.0434138043764907[/C][/ROW]
[ROW][C]204[/C][C]0.988673579552995[/C][C]0.0226528408940108[/C][C]0.0113264204470054[/C][/ROW]
[ROW][C]205[/C][C]0.986413639969481[/C][C]0.0271727200610381[/C][C]0.0135863600305191[/C][/ROW]
[ROW][C]206[/C][C]0.988602898003702[/C][C]0.0227942039925958[/C][C]0.0113971019962979[/C][/ROW]
[ROW][C]207[/C][C]0.988363327061497[/C][C]0.023273345877007[/C][C]0.0116366729385035[/C][/ROW]
[ROW][C]208[/C][C]0.985243275704231[/C][C]0.0295134485915389[/C][C]0.0147567242957695[/C][/ROW]
[ROW][C]209[/C][C]0.984475434752472[/C][C]0.0310491304950562[/C][C]0.0155245652475281[/C][/ROW]
[ROW][C]210[/C][C]0.989653588893534[/C][C]0.0206928222129316[/C][C]0.0103464111064658[/C][/ROW]
[ROW][C]211[/C][C]0.986910565198206[/C][C]0.0261788696035882[/C][C]0.0130894348017941[/C][/ROW]
[ROW][C]212[/C][C]0.983180915430717[/C][C]0.0336381691385655[/C][C]0.0168190845692828[/C][/ROW]
[ROW][C]213[/C][C]0.982764942085187[/C][C]0.0344701158296253[/C][C]0.0172350579148127[/C][/ROW]
[ROW][C]214[/C][C]0.979052063986512[/C][C]0.0418958720269768[/C][C]0.0209479360134884[/C][/ROW]
[ROW][C]215[/C][C]0.973672555220291[/C][C]0.0526548895594191[/C][C]0.0263274447797095[/C][/ROW]
[ROW][C]216[/C][C]0.967242581332531[/C][C]0.065514837334937[/C][C]0.0327574186674685[/C][/ROW]
[ROW][C]217[/C][C]0.971923452466864[/C][C]0.0561530950662725[/C][C]0.0280765475331363[/C][/ROW]
[ROW][C]218[/C][C]0.964986540602544[/C][C]0.0700269187949128[/C][C]0.0350134593974564[/C][/ROW]
[ROW][C]219[/C][C]0.959551418154666[/C][C]0.0808971636906672[/C][C]0.0404485818453336[/C][/ROW]
[ROW][C]220[/C][C]0.967054995780905[/C][C]0.0658900084381894[/C][C]0.0329450042190947[/C][/ROW]
[ROW][C]221[/C][C]0.978284591866706[/C][C]0.0434308162665876[/C][C]0.0217154081332938[/C][/ROW]
[ROW][C]222[/C][C]0.974107706684005[/C][C]0.0517845866319902[/C][C]0.0258922933159951[/C][/ROW]
[ROW][C]223[/C][C]0.967444849239554[/C][C]0.0651103015208929[/C][C]0.0325551507604465[/C][/ROW]
[ROW][C]224[/C][C]0.981542419142213[/C][C]0.0369151617155732[/C][C]0.0184575808577866[/C][/ROW]
[ROW][C]225[/C][C]0.976789320542356[/C][C]0.0464213589152873[/C][C]0.0232106794576436[/C][/ROW]
[ROW][C]226[/C][C]0.973207735864991[/C][C]0.0535845282700183[/C][C]0.0267922641350091[/C][/ROW]
[ROW][C]227[/C][C]0.968140660366443[/C][C]0.0637186792671138[/C][C]0.0318593396335569[/C][/ROW]
[ROW][C]228[/C][C]0.960272727838592[/C][C]0.0794545443228151[/C][C]0.0397272721614076[/C][/ROW]
[ROW][C]229[/C][C]0.95400074720108[/C][C]0.091998505597841[/C][C]0.0459992527989205[/C][/ROW]
[ROW][C]230[/C][C]0.949474604839156[/C][C]0.101050790321688[/C][C]0.0505253951608438[/C][/ROW]
[ROW][C]231[/C][C]0.939054536228054[/C][C]0.121890927543892[/C][C]0.0609454637719462[/C][/ROW]
[ROW][C]232[/C][C]0.931582863134574[/C][C]0.136834273730851[/C][C]0.0684171368654257[/C][/ROW]
[ROW][C]233[/C][C]0.928117992981033[/C][C]0.143764014037934[/C][C]0.0718820070189668[/C][/ROW]
[ROW][C]234[/C][C]0.911997062740039[/C][C]0.176005874519923[/C][C]0.0880029372599614[/C][/ROW]
[ROW][C]235[/C][C]0.893222781701749[/C][C]0.213554436596502[/C][C]0.106777218298251[/C][/ROW]
[ROW][C]236[/C][C]0.87160761781356[/C][C]0.25678476437288[/C][C]0.12839238218644[/C][/ROW]
[ROW][C]237[/C][C]0.847012300655436[/C][C]0.305975398689128[/C][C]0.152987699344564[/C][/ROW]
[ROW][C]238[/C][C]0.838977469228229[/C][C]0.322045061543542[/C][C]0.161022530771771[/C][/ROW]
[ROW][C]239[/C][C]0.814500828338094[/C][C]0.370998343323812[/C][C]0.185499171661906[/C][/ROW]
[ROW][C]240[/C][C]0.818987320883671[/C][C]0.362025358232658[/C][C]0.181012679116329[/C][/ROW]
[ROW][C]241[/C][C]0.796943517275939[/C][C]0.406112965448122[/C][C]0.203056482724061[/C][/ROW]
[ROW][C]242[/C][C]0.800149794165035[/C][C]0.399700411669931[/C][C]0.199850205834965[/C][/ROW]
[ROW][C]243[/C][C]0.765482772928022[/C][C]0.469034454143955[/C][C]0.234517227071978[/C][/ROW]
[ROW][C]244[/C][C]0.734086458350156[/C][C]0.531827083299689[/C][C]0.265913541649844[/C][/ROW]
[ROW][C]245[/C][C]0.761875748616495[/C][C]0.47624850276701[/C][C]0.238124251383505[/C][/ROW]
[ROW][C]246[/C][C]0.744353375458061[/C][C]0.511293249083877[/C][C]0.255646624541939[/C][/ROW]
[ROW][C]247[/C][C]0.801964378417599[/C][C]0.396071243164802[/C][C]0.198035621582401[/C][/ROW]
[ROW][C]248[/C][C]0.774283500397754[/C][C]0.451432999204491[/C][C]0.225716499602246[/C][/ROW]
[ROW][C]249[/C][C]0.74985541951281[/C][C]0.500289160974381[/C][C]0.25014458048719[/C][/ROW]
[ROW][C]250[/C][C]0.71529611477536[/C][C]0.56940777044928[/C][C]0.28470388522464[/C][/ROW]
[ROW][C]251[/C][C]0.683277818452761[/C][C]0.633444363094478[/C][C]0.316722181547239[/C][/ROW]
[ROW][C]252[/C][C]0.890687780808952[/C][C]0.218624438382096[/C][C]0.109312219191048[/C][/ROW]
[ROW][C]253[/C][C]0.960381937913567[/C][C]0.0792361241728671[/C][C]0.0396180620864335[/C][/ROW]
[ROW][C]254[/C][C]0.960999983274805[/C][C]0.0780000334503899[/C][C]0.0390000167251949[/C][/ROW]
[ROW][C]255[/C][C]0.965162611023175[/C][C]0.0696747779536502[/C][C]0.0348373889768251[/C][/ROW]
[ROW][C]256[/C][C]0.996283799596316[/C][C]0.00743240080736773[/C][C]0.00371620040368386[/C][/ROW]
[ROW][C]257[/C][C]0.994233557591758[/C][C]0.0115328848164837[/C][C]0.00576644240824183[/C][/ROW]
[ROW][C]258[/C][C]0.991211772906744[/C][C]0.0175764541865122[/C][C]0.00878822709325612[/C][/ROW]
[ROW][C]259[/C][C]0.989254137694223[/C][C]0.0214917246115538[/C][C]0.0107458623057769[/C][/ROW]
[ROW][C]260[/C][C]0.989139256847146[/C][C]0.0217214863057087[/C][C]0.0108607431528544[/C][/ROW]
[ROW][C]261[/C][C]0.984190605472268[/C][C]0.031618789055464[/C][C]0.015809394527732[/C][/ROW]
[ROW][C]262[/C][C]0.979964659742904[/C][C]0.0400706805141929[/C][C]0.0200353402570965[/C][/ROW]
[ROW][C]263[/C][C]0.973969935590964[/C][C]0.0520601288180712[/C][C]0.0260300644090356[/C][/ROW]
[ROW][C]264[/C][C]0.962234332066983[/C][C]0.0755313358660348[/C][C]0.0377656679330174[/C][/ROW]
[ROW][C]265[/C][C]0.947532791095045[/C][C]0.10493441780991[/C][C]0.0524672089049551[/C][/ROW]
[ROW][C]266[/C][C]0.958137735518152[/C][C]0.0837245289636951[/C][C]0.0418622644818476[/C][/ROW]
[ROW][C]267[/C][C]0.940486877493888[/C][C]0.119026245012224[/C][C]0.0595131225061122[/C][/ROW]
[ROW][C]268[/C][C]0.915951365533435[/C][C]0.16809726893313[/C][C]0.084048634466565[/C][/ROW]
[ROW][C]269[/C][C]0.890568865663297[/C][C]0.218862268673405[/C][C]0.109431134336703[/C][/ROW]
[ROW][C]270[/C][C]0.86510585484134[/C][C]0.26978829031732[/C][C]0.13489414515866[/C][/ROW]
[ROW][C]271[/C][C]0.820843925471174[/C][C]0.358312149057652[/C][C]0.179156074528826[/C][/ROW]
[ROW][C]272[/C][C]0.79553648828798[/C][C]0.408927023424041[/C][C]0.204463511712021[/C][/ROW]
[ROW][C]273[/C][C]0.735926227454687[/C][C]0.528147545090626[/C][C]0.264073772545313[/C][/ROW]
[ROW][C]274[/C][C]0.927871292979207[/C][C]0.144257414041585[/C][C]0.0721287070207926[/C][/ROW]
[ROW][C]275[/C][C]0.899065208005109[/C][C]0.201869583989781[/C][C]0.100934791994891[/C][/ROW]
[ROW][C]276[/C][C]0.850463942821192[/C][C]0.299072114357615[/C][C]0.149536057178808[/C][/ROW]
[ROW][C]277[/C][C]0.795115829348833[/C][C]0.409768341302335[/C][C]0.204884170651167[/C][/ROW]
[ROW][C]278[/C][C]0.73098961576152[/C][C]0.538020768476961[/C][C]0.26901038423848[/C][/ROW]
[ROW][C]279[/C][C]0.903948688012486[/C][C]0.192102623975027[/C][C]0.0960513119875136[/C][/ROW]
[ROW][C]280[/C][C]0.909810828935647[/C][C]0.180378342128706[/C][C]0.0901891710643529[/C][/ROW]
[ROW][C]281[/C][C]0.998322854767295[/C][C]0.00335429046541047[/C][C]0.00167714523270523[/C][/ROW]
[ROW][C]282[/C][C]0.99710841678455[/C][C]0.00578316643089944[/C][C]0.00289158321544972[/C][/ROW]
[ROW][C]283[/C][C]0.999999802419154[/C][C]3.95161691668588e-07[/C][C]1.97580845834294e-07[/C][/ROW]
[ROW][C]284[/C][C]1[/C][C]9.12836954062089e-48[/C][C]4.56418477031044e-48[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=154781&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154781&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
14	6.61302628548314e-44	1.32260525709663e-43	1
15	2.32024393742377e-57	4.64048787484755e-57	1
16	4.63183643762539e-05	9.26367287525079e-05	0.999953681635624
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275	0.899065208005109	0.201869583989781	0.100934791994891
276	0.850463942821192	0.299072114357615	0.149536057178808
277	0.795115829348833	0.409768341302335	0.204884170651167
278	0.73098961576152	0.538020768476961	0.26901038423848
279	0.903948688012486	0.192102623975027	0.0960513119875136
280	0.909810828935647	0.180378342128706	0.0901891710643529
281	0.998322854767295	0.00335429046541047	0.00167714523270523
282	0.99710841678455	0.00578316643089944	0.00289158321544972
283	0.999999802419154	3.95161691668588e-07	1.97580845834294e-07
284	1	9.12836954062089e-48	4.56418477031044e-48

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description	# significant tests	% significant tests	OK/NOK
1% type I error level	11	0.040590405904059	NOK
5% type I error level	43	0.158671586715867	NOK
10% type I error level	76	0.280442804428044	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 & 11 & 0.040590405904059 & NOK \tabularnewline
5% type I error level & 43 & 0.158671586715867 & NOK \tabularnewline
10% type I error level & 76 & 0.280442804428044 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=154781&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]11[/C][C]0.040590405904059[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]43[/C][C]0.158671586715867[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]76[/C][C]0.280442804428044[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=154781&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=154781&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	11	0.040590405904059	NOK
5% type I error level	43	0.158671586715867	NOK
10% type I error level	76	0.280442804428044	NOK

Figure 1

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Figure 8

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Figure 9

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Figure 10

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Parameters (Session):

par1 = 10 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;

Parameters (R input):

par1 = 10 ; 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