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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationTue, 12 Dec 2017 18:40:19 +0100
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2017/Dec/12/t1513101755ttcxeb6lm2a7vl8.htm/, Retrieved Wed, 15 May 2024 15:52:13 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=309175, Retrieved Wed, 15 May 2024 15:52:13 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact57
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Multiple Regression] [regressie dataset...] [2017-12-12 17:40:19] [590d161356c203bfab730abba48e0199] [Current]
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Dataseries X:
5	0.7	0.076	34	3.51	0.56	9.4
5	0.88	0.098	67	3.2	0.68	9.8
5	0.76	0.092	54	3.26	0.65	9.8
6	0.28	0.075	60	3.16	0.58	9.8
5	0.7	0.076	34	3.51	0.56	9.4
5	0.66	0.075	40	3.51	0.56	9.4
5	0.6	0.069	59	3.3	0.46	9.4
7	0.65	0.065	21	3.39	0.47	10
7	0.58	0.073	18	3.36	0.57	9.5
5	0.5	0.071	102	3.35	0.8	10.5
5	0.58	0.097	65	3.28	0.54	9.2
5	0.5	0.071	102	3.35	0.8	10.5
5	0.615	0.089	59	3.58	0.52	9.9
5	0.61	0.114	29	3.26	1.56	9.1
5	0.62	0.176	145	3.16	0.88	9.2
5	0.62	0.17	148	3.17	0.93	9.2
7	0.28	0.092	103	3.3	0.75	10.5
5	0.56	0.368	56	3.11	1.28	9.3
4	0.59	0.086	29	3.38	0.5	9
6	0.32	0.341	56	3.04	1.08	9.2
6	0.22	0.077	60	3.39	0.53	9.4
5	0.39	0.082	71	3.52	0.65	9.7
5	0.43	0.106	37	3.17	0.91	9.5
5	0.49	0.084	67	3.17	0.53	9.4
6	0.4	0.085	40	3.43	0.63	9.7
5	0.39	0.08	23	3.34	0.56	9.3
5	0.41	0.08	11	3.28	0.59	9.5
5	0.43	0.106	37	3.17	0.91	9.5
5	0.71	0.08	35	3.47	0.55	9.4
6	0.645	0.082	16	3.38	0.59	9.8
5	0.675	0.089	82	3.35	0.54	10.1
6	0.685	0.105	37	3.46	0.57	10.6
5	0.655	0.083	113	3.17	0.66	9.8
6	0.605	0.073	83	3.45	0.52	9.4
5	0.32	0.103	50	3.38	0.55	9.2
6	0.645	0.086	18	3.4	0.55	9.6
6	0.6	0.086	15	3.42	0.6	10.8
7	0.38	0.066	30	3.23	0.73	9.7
4	1.13	0.172	19	3.5	0.48	9.8
5	0.45	0.074	87	3.33	0.83	10.5
5	0.45	0.074	87	3.33	0.83	10.5
4	0.61	0.088	46	3.26	0.51	9.3
6	0.49	0.332	14	3.21	0.9	10.5
5	0.66	0.069	23	3.3	1.2	10.3
5	0.67	0.05	11	3.48	0.52	9.5
4	0.52	0.054	65	3.9	0.56	13.1
5	0.935	0.114	114	3.25	0.73	9.2
5	0.29	0.113	37	3.25	0.58	9.5
5	0.4	0.066	12	3.34	0.56	9.2
5	0.31	0.074	96	3.32	0.58	9.2
5	0.66	0.074	23	3.15	0.74	9.2
6	0.52	0.069	15	3.4	0.63	9.4
6	0.5	0.068	14	3.39	0.64	9.4
5	0.38	0.081	119	3.2	0.56	9.4
6	0.51	0.11	73	3.17	0.63	10.2
5	0.62	0.084	45	3.34	0.53	9.5
5	0.42	0.07	10	3.04	0.63	9.6
5	0.63	0.111	110	3.26	0.77	9.4
5	0.59	0.076	54	3.43	0.59	10
6	0.39	0.074	46	3.41	0.54	9.4
5	0.4	0.079	52	3.44	0.64	9.2
5	0.69	0.115	112	3.21	0.71	9.3
7	0.52	0.085	35	3.38	0.62	9.5
5	0.735	0.081	54	3.39	0.57	9.8
5	0.725	0.086	11	3.41	0.39	10.9
5	0.725	0.086	11	3.41	0.39	10.9
5	0.52	0.079	39	3.42	0.58	9.6
5	0.705	0.076	15	3.44	0.58	10.7
5	0.32	0.074	65	3.28	0.79	10.7
6	0.705	0.074	19	3.34	0.95	10.5
6	0.63	0.076	27	3.32	0.54	9.5
5	0.67	0.088	96	3.32	0.48	9.5
5	0.69	0.084	94	3.31	0.48	9.5
4	0.675	0.084	43	3.31	0.53	9.2
5	0.32	0.094	83	3.28	0.82	9.6
5	0.41	0.093	42	3.54	0.66	10.5
5	0.41	0.093	42	3.54	0.66	10.5
6	0.785	0.104	30	3.52	0.55	10.7
5	0.75	0.086	80	3.38	0.52	10.1
4	0.625	0.08	119	3.16	1.12	9.1
5	0.45	0.069	15	3.41	0.56	9.2
5	0.43	0.464	67	3.13	1.28	9.4
5	0.5	0.086	73	3.36	0.57	9.1
5	0.67	0.401	51	3.16	1.14	9.4
6	0.3	0.069	61	3.44	0.78	10.3
5	0.55	0.076	40	3.41	0.59	10.1
6	0.49	0.11	136	2.93	1.95	9.9
5	0.49	0.062	31	3.39	0.64	9.6
5	0.39	0.107	125	3.14	1.22	9.5
5	0.62	0.076	24	3.48	0.53	9
5	0.52	0.079	140	3.23	0.54	9.5
6	0.49	0.11	136	2.93	1.95	9.9
5	0.49	0.11	133	2.93	1.98	9.8
5	0.49	0.062	31	3.39	0.64	9.6
4	1.02	0.045	85	3.75	0.48	10.5
6	0.6	0.058	106	3.85	0.6	12.9
5	0.775	0.102	23	3.45	0.56	10.7
5	0.5	0.07	22	3.25	0.63	9.2
5	0.9	0.079	10	3.39	0.56	9.8
6	0.545	0.08	35	3.3	0.59	9
6	0.61	0.084	50	3.4	0.61	10.2
6	0.5	0.075	22	3.31	0.56	10.4
6	0.545	0.08	35	3.3	0.59	9
5	0.575	0.077	65	3.29	0.51	9.2
5	0.49	0.07	36	3.33	0.48	9.4
5	0.575	0.077	65	3.29	0.51	9.2
5	0.41	0.467	69	3.08	1.31	9.3
5	0.63	0.088	64	3.46	0.79	9.3
6	0.33	0.091	80	3.37	0.8	9.6
5	0.785	0.122	153	3.21	0.69	9.3
5	0.56	0.104	47	3.19	0.93	9.5
5	0.62	0.084	108	3.15	0.66	9.8
5	0.6	0.085	111	3.15	0.66	9.8
6	0.31	0.08	46	3.32	0.67	9.7
5	0.56	0.104	47	3.19	0.93	9.5
6	0.4	0.09	62	3.07	0.63	10.5
6	0.54	0.077	40	3.39	0.61	10
6	0.56	0.082	28	3.37	0.5	9.4
6	0.55	0.119	56	3.21	0.6	10.9
6	0.69	0.097	89	3.34	0.54	9.2
5	1.07	0.178	89	3.3	0.57	9
6	0.55	0.119	56	3.21	0.6	10.9
5	0.695	0.075	13	3.49	0.52	9.2
5	0.71	0.08	34	3.44	0.53	9.5
5	0.5	0.082	102	3.39	0.48	9.5
5	0.62	0.146	90	3.16	0.7	9.4
5	1.33	0.081	12	3.53	0.49	10.9
5	1.33	0.082	12	3.54	0.48	10.9
7	0.59	0.065	16	3.42	0.92	10.5
5	0.38	0.072	19	3.42	0.57	9.4
5	0.745	0.118	134	3.24	0.66	9.4
5	0.5	0.049	99	3.63	0.63	13
5	0.5	0.049	99	3.63	0.63	13
6	0.5	0.06	26	3.4	0.58	9.8
6	1.04	0.084	29	3.22	0.55	9.9
5	0.745	0.09	63	3.19	0.82	9.6
5	0.715	0.089	52	3.23	0.77	9.5
5	0.415	0.081	45	3.48	0.64	9.2
5	0.56	0.081	105	3.33	0.54	9.5
5	0.56	0.081	108	3.32	0.54	9.5
5	0.745	0.09	63	3.19	0.82	9.6
5	0.715	0.089	52	3.23	0.77	9.5
6	0.34	0.05	63	3.68	0.79	14
5	0.39	0.066	20	3.34	0.58	9.4
6	0.34	0.05	63	3.68	0.79	14
5	0.67	0.117	141	3.17	0.62	9.4
5	0.68	0.087	94	3.54	0.52	10
5	0.49	0.236	88	3.11	0.8	9.3
6	0.49	0.074	30	3.42	0.58	10.2
6	0.4	0.089	43	3.53	0.61	10.5
6	0.33	0.077	11	3.33	0.53	10.3
4	0.52	0.61	69	2.74	2	9.4
5	0.6	0.095	99	3.35	0.54	10.1
5	0.6	0.095	99	3.35	0.54	10.1
5	0.43	0.07	129	3.42	0.72	10.5
5	0.43	0.071	128	3.42	0.71	10.5
5	0.43	0.07	129	3.42	0.72	10.5
5	0.43	0.071	128	3.42	0.71	10.5
5	0.68	0.073	22	3.48	0.5	9.3
6	0.6	0.079	86	3.59	0.57	9.3
5	0.95	0.09	20	3.2	0.56	9.6
4	0.68	0.072	20	3.17	1.08	9.2
6	0.53	0.076	31	3.33	0.56	10
5	0.6	0.07	121	3.37	0.49	9.4
5	0.59	0.07	121	3.37	0.49	9.4
5	0.63	0.1	96	3.19	0.62	9.5
5	0.64	0.085	101	3.34	0.52	10.2
4	0.55	0.072	42	3.37	0.48	9
6	0.63	0.089	44	3.47	0.55	10.4
5	0.705	0.36	63	3	1.59	9.5
4	0.885	0.058	8	3.36	0.33	9.1
6	0.42	0.073	18	3.29	0.61	9.2
6	0.42	0.073	18	3.29	0.61	9.2
6	0.62	0.068	42	3.42	0.57	11.5
5	0.38	0.08	35	3.33	0.47	9.5
5	0.5	0.085	49	3.35	0.78	9.5
5	0.38	0.08	35	3.33	0.47	9.5
6	0.52	0.087	38	3.58	0.61	10.5
5	0.805	0.068	20	3.48	0.56	9.6
5	0.61	0.067	42	3.19	0.59	9.5
5	0.61	0.067	42	3.19	0.59	9.5
5	0.61	0.27	110	3.12	1.02	9.3
5	0.73	0.076	42	3.44	0.52	9.3
5	0.61	0.077	65	3.54	0.58	9.3
6	0.62	0.079	62	3.52	0.58	9.3
5	0.31	0.111	85	3.26	0.53	9.7
5	0.39	0.082	67	3.34	0.55	9.2
5	0.705	0.084	26	3.39	0.49	9.7
5	0.5	0.084	143	3.2	0.55	9.5
5	0.49	0.082	144	3.2	0.55	9.5
5	0.5	0.077	127	3.23	0.62	9.4
6	0.37	0.074	49	3.57	0.62	9.8
5	0.63	0.099	126	3.28	0.61	9.5
5	0.55	0.071	28	3.28	0.55	9.7
5	0.55	0.071	28	3.28	0.55	9.7
5	0.59	0.074	120	3.25	0.54	9.4
5	0.58	0.074	55	3.46	0.59	10.2
6	0.3	0.067	27	3.11	0.97	10.1
7	0.835	0.046	93	3.57	0.85	13
4	1.09	0.061	31	3.51	0.43	11.4
7	0.32	0.056	24	3.22	0.82	10.3
5	0.37	0.097	145	3.04	1.03	9.3
5	0.5	0.075	49	3.36	0.79	9.5
5	0.42	0.088	39	3.34	0.55	9.2
6	0.43	0.089	37	3.34	0.56	9.2
7	0.3	0.095	28	3.2	0.77	10.8
7	0.3	0.095	28	3.2	0.77	10.8
5	0.57	0.069	120	3.29	0.53	9.3
5	0.44	0.1	95	3.22	0.67	9.4
7	0.3	0.054	19	3.31	0.88	10.5
6	0.53	0.039	19	3.3	0.86	12.4
6	0.725	0.083	62	3.35	0.56	10
6	0.44	0.059	15	3.21	0.67	10.2
5	0.57	0.06	65	3.3	0.43	10.1
6	0.735	0.092	41	3.24	0.71	9.8
5	0.49	0.06	121	3.34	0.76	10.5
5	0.625	0.101	49	3.14	0.57	11
5	0.725	0.072	41	3.36	0.55	9.1
5	0.49	0.076	44	3.39	0.54	9.7
5	0.53	0.08	144	3.3	0.6	9.5
6	0.34	0.082	58	3.34	0.59	9.4
5	0.53	0.101	72	3.15	0.57	9.4
5	0.61	0.057	10	3.42	0.6	9.5
6	0.645	0.083	28	3.28	0.6	10
4	0.635	0.089	55	3.31	0.57	10.4
6	0.43	0.073	63	3.37	0.58	10.5
6	0.59	0.337	81	3.04	1.61	9.5
5	0.82	0.089	23	3.39	0.63	9.8
6	0.43	0.073	63	3.37	0.58	10.5
5	0.52	0.081	37	3.46	0.5	11
7	0.48	0.054	106	3.54	0.62	12.2
6	0.38	0.078	49	3.37	0.52	9.9
6	0.37	0.09	58	3.34	0.7	9.6
5	0.52	0.081	37	3.46	0.5	11
6	1	0.065	37	3.32	0.55	9
6	0.63	0.097	38	3.37	0.58	9
6	0.63	0.097	38	3.37	0.58	9
6	0.645	0.097	39	3.37	0.58	9.2
6	0.63	0.097	38	3.37	0.58	9
6	1	0.065	37	3.32	0.55	9
5	0.635	0.263	62	3	1.09	9.3
6	0.38	0.093	24	3.14	0.71	10.9
6	0.58	0.102	109	3.08	0.49	9.8
7	0.21	0.075	24	3.07	0.84	9.2
7	0.21	0.075	24	3.07	0.84	9.2
6	0.66	0.084	23	3.61	0.96	9.9
5	0.68	0.075	51	3.38	0.52	9.5
5	0.6	0.072	73	3.2	0.45	9.3
6	0.53	0.074	39	3.35	0.48	9.8
6	0.66	0.084	23	3.61	0.96	9.9
6	0.32	0.063	37	3.22	0.78	10
6	0.6	0.074	34	3.47	0.7	9.9
5	0.35	0.09	21	3.17	0.53	10.5
5	0.775	0.092	86	3.23	0.59	9.5
6	0.6	0.074	34	3.47	0.7	9.9
5	0.57	0.073	119	3.26	0.57	9.3
5	0.34	0.075	13	3.22	0.62	9.2
5	0.695	0.075	56	3.49	0.67	9.2
5	0.41	0.611	45	3.06	1.26	9.4
7	0.31	0.085	33	3.36	0.8	10.5
5	0.33	0.077	45	3.29	0.65	9.3
4	0.975	0.087	67	3.35	0.6	9.4
5	0.52	0.07	35	3.34	0.57	10
5	0.37	0.077	49	3.28	0.67	9.3
5	0.56	0.064	27	3.08	0.87	10.9
7	0.26	0.071	10	3.2	0.72	10.2
4	0.87	0.096	61	3.6	0.72	9.8
8	0.35	0.078	37	3.35	0.86	12.8
6	0.54	0.077	27	3.69	0.91	9.4
6	0.18	0.104	23	3.28	0.97	10.1
6	0.545	0.087	61	3.36	0.67	10.7
6	0.18	0.104	23	3.28	0.97	10.1
5	0.37	0.071	65	3.22	0.78	10.1
5	0.715	0.076	38	3.31	0.64	9.4
5	0.65	0.088	94	3.38	0.77	9.4
6	0.545	0.087	61	3.36	0.67	10.7
6	0.54	0.077	27	3.69	0.91	9.4
6	0.18	0.104	23	3.28	0.97	10.1
8	0.32	0.073	13	3.23	0.82	12.6
7	0.4	0.087	47	3.38	0.77	10.5
6	0.26	0.071	19	3.12	0.82	9.3
7	0.27	0.358	10	3.25	1.08	9.9
5	0.52	0.067	53	3.36	0.57	9.1
7	0.4	0.087	47	3.38	0.77	10.5
5	0.59	0.102	71	3.31	0.71	9.8
5	0.59	0.102	71	3.31	0.71	9.8
6	0.45	0.073	49	3.1	0.76	10.3
6	0.4	0.092	53	3.37	0.7	10.3
7	0.52	0.091	49	3.34	0.86	10.6
5	0.42	0.105	98	3.2	0.95	9.2
7	0.52	0.091	49	3.34	0.86	10.6
5	0.2	0.343	18	3.3	0.71	10.5
6	0.55	0.091	48	3.22	0.64	10.3
6	0.36	0.098	16	3.41	0.6	10.1
6	0.34	0.094	53	3.05	0.81	9.5
5	0.5	0.073	27	3.05	0.64	9.5
5	0.83	0.086	70	3.16	0.52	9.9
5	0.63	0.083	29	3.67	0.73	9.6
5	0.65	0.094	31	3.67	0.8	9.7
5	0.67	0.08	33	3.68	0.71	9.6
6	0.53	0.086	44	3.38	0.59	10.7
6	0.18	0.068	15	3.22	0.64	10.1
5	0.705	0.092	28	3.51	0.72	10
5	0.67	0.186	21	3.39	0.54	9.5
5	0.65	0.112	90	3.2	0.52	9.2
6	0.53	0.063	25	3.12	0.59	9.3
5	0.62	0.082	54	3.36	0.52	9.4
6	0.41	0.213	14	3.19	0.62	9.5
6	0.43	0.214	12	3.19	0.63	9.5
6	0.29	0.062	30	3.41	0.53	9.5
6	0.53	0.063	25	3.12	0.59	9.3
6	0.53	0.072	105	3.27	0.54	9.4
6	0.46	0.093	98	3.32	0.63	9.5
5	0.47	0.076	135	3.3	0.53	9.4
5	0.36	0.087	72	3.39	0.68	11
6	0.35	0.096	53	3.42	0.65	11
5	0.56	0.102	92	3.3	0.65	10.1
6	0.77	0.082	74	3.3	0.64	10.4
7	0.66	0.083	59	3.37	0.71	11.5
6	0.77	0.082	74	3.3	0.64	10.4
7	0.66	0.083	59	3.37	0.71	11.5
5	0.61	0.09	87	3.24	0.62	9.7
5	0.62	0.079	18	3.29	0.63	9.3
6	0.59	0.09	73	3.28	0.7	9.5
6	0.49	0.071	50	3.16	0.69	9.2
6	0.49	0.071	50	3.16	0.69	9.2
7	0.53	0.121	14	3.05	0.74	11.5
5	0.44	0.107	13	3.28	0.83	11.5
6	0.27	0.082	21	3.16	0.67	9.7
5	0.46	0.061	15	3.18	0.62	9.5
6	0.36	0.122	41	3.23	0.66	12.5
6	0.36	0.122	41	3.23	0.66	12.5
6	0.58	0.066	114	3.22	0.54	9.4
5	0.56	0.105	44	3.13	0.52	11
7	0.65	0.078	38	3.34	0.74	11.7
7	0.695	0.128	21	3.17	0.84	12.2
6	0.43	0.052	16	3.35	0.7	12.5
5	0.43	0.08	58	3.31	0.64	10.3
6	0.49	0.103	99	3.16	1	11.5
7	0.28	0.082	29	3.11	1.36	9.8
6	0.34	0.066	21	3.12	1.18	9.2
6	0.42	0.065	18	3.21	0.87	11.3
6	0.39	0.118	14	3.3	0.75	9.8
6	0.39	0.118	14	3.3	0.75	9.8
6	0.57	0.082	32	3.12	0.78	10.7
5	0.685	0.067	63	3.6	0.81	9.9
7	0.815	0.072	34	3.58	0.89	12.3
6	0.49	0.093	15	3.02	0.93	12
6	0.56	0.089	46	3.11	0.92	10
6	0.785	0.093	28	3.36	0.86	9.4
6	0.67	0.107	34	3.28	0.98	9.9
6	0.795	0.096	26	3.35	0.83	9.4
5	0.665	0.09	19	3.27	0.73	9.3
5	0.53	0.12	77	3.18	0.77	13
6	0.21	0.066	165	3.25	0.59	11.9
6	0.75	0.078	32	3.55	0.61	12.8
5	0.41	0.08	55	3.26	0.88	11
7	0.42	0.116	29	3.24	0.75	11.7
7	0.43	0.109	23	3.15	0.85	10.4
6	0.38	0.088	41	3.17	0.68	9.8
5	0.7	0.099	81	3.19	0.7	9.4
6	0.45	0.086	50	3.37	0.91	9.9
5	0.58	0.072	37	3.05	0.56	10
5	0.46	0.071	15	2.99	0.87	10.2
7	0.615	0.083	42	3.07	0.73	10
6	0.42	0.107	21	3.26	0.93	11.8
7	0.615	0.083	42	3.07	0.73	10
5	0.575	0.076	24	3.16	0.69	9
5	0.34	0.159	75	3.18	0.64	9.4
7	0.27	0.074	18	3.2	1.13	12
5	0.765	0.063	63	3.57	0.78	9.9
6	0.24	0.056	25	3.32	0.87	8.7
6	0.28	0.067	46	3.32	1.04	10.6
5	0.55	0.106	72	3.05	0.63	9.2
6	0.41	0.089	47	3.01	0.81	10.8
7	0.54	0.124	15	3.01	0.83	11.8
6	0.45	0.078	47	3.26	1.11	11
7	0.27	0.074	18	3.2	1.13	12
6	0.625	0.088	24	3.11	0.99	13.3
6	0.42	0.094	60	3.31	0.7	10.8
6	0.26	0.08	27	3.21	0.8	9.4
6	0.415	0.085	43	3.06	0.8	10
6	0.26	0.08	27	3.21	0.8	9.4
6	0.26	0.08	27	3.21	0.8	9.4
5	0.51	0.087	54	3.42	0.74	9.2
6	0.63	0.09	37	3.43	0.76	9.7
6	0.54	0.088	48	3.41	0.74	9.2
6	0.66	0.079	42	3.31	0.54	9.6
6	0.46	0.088	53	3.43	0.74	9.2
7	0.38	0.096	49	3.19	0.7	10
8	0.85	0.045	88	3.56	0.82	12.9
6	0.415	0.085	43	3.06	0.8	10
5	0.37	0.082	26	3.18	0.51	9.5
5	0.665	0.112	95	3.16	0.54	9.1
5	0.6	0.063	25	3.03	0.57	9.9
7	0.37	0.066	38	3.22	0.6	13
5	0.735	0.122	124	3.47	0.53	9.9
6	0.59	0.087	49	3.18	0.65	11
6	0.59	0.087	49	3.18	0.65	11
5	0.765	0.064	42	3.1	0.55	9.4
5	0.735	0.122	124	3.47	0.53	9.9
6	0.26	0.059	38	3.29	0.47	10.8
6	0.48	0.085	64	3.1	0.61	10.5
6	0.6	0.085	41	3.15	0.63	10.5
5	0.69	0.075	27	3.26	0.61	9.1
6	0.31	0.059	25	3.36	0.76	10.1
6	0.44	0.063	28	3.24	0.65	10.8
7	0.39	0.093	30	3.18	0.63	10.8
6	0.34	0.174	16	3.19	0.7	11.3
4	0.46	0.07	49	3.05	0.57	9.6
6	0.43	0.08	86	3.38	0.62	9.5
5	0.45	0.08	78	3.38	0.62	9.5
5	0.735	0.1	77	3.27	0.64	9.3
7	0.4	0.097	19	3.27	0.82	11.7
5	0.52	0.087	122	3.26	0.61	9.5
5	0.725	0.117	134	3.32	1.07	9.3
6	0.48	0.111	20	3.26	0.66	11.7
5	0.58	0.091	124	3.44	0.48	10.5
6	0.38	0.121	20	3.24	0.76	10.4
5	0.77	0.066	52	3.62	0.68	9.9
7	0.56	0.089	67	3.28	0.73	11.8
7	0.84	0.059	48	3.52	0.56	12.3
5	0.96	0.047	60	3.36	0.44	10.9
7	0.24	0.066	24	3.15	0.9	11
5	0.96	0.047	60	3.36	0.44	10.9
7	0.84	0.059	48	3.52	0.56	12.3
6	0.67	0.045	48	3.49	0.49	11.4
6	0.78	0.077	32	3.26	0.56	10.6
5	0.52	0.07	30	3.24	0.6	9.3
6	0.84	0.088	35	3.1	0.6	10.4
7	0.24	0.066	24	3.15	0.9	11
5	0.55	0.074	66	3.25	0.56	9.2
6	0.37	0.078	24	3	0.65	12.8
5	0.39	0.091	18	3.16	0.49	9.5
6	0.41	0.076	54	3.15	0.89	9.9
5	0.39	0.091	18	3.16	0.49	9.5
6	0.67	0.06	62	3.26	0.56	10.2
6	0.45	0.066	22	3.17	0.66	11.2
6	0.41	0.076	54	3.15	0.89	9.9
5	0.62	0.062	50	3.08	0.6	9.3
8	0.31	0.072	29	2.88	0.82	9.8
6	0.4	0.068	27	3.06	0.68	11.3
7	0.685	0.1	43	2.95	0.68	11.2
7	0.44	0.077	19	3.23	0.63	11.6
7	0.57	0.054	27	3.57	0.84	12.5
6	0.735	0.079	31	3.23	0.56	10.1
5	0.38	0.081	72	3.1	0.73	10.5
5	0.48	0.127	16	3.22	0.72	11.2
6	0.53	0.1	27	3.2	0.56	10.2
6	0.39	0.095	35	3.1	0.61	10.8
6	0.39	0.095	35	3.1	0.61	10.8
6	0.37	0.413	26	3.06	1.06	9.1
6	0.56	0.084	35	3.44	0.63	10
7	0.33	0.084	22	3.26	0.74	11.2
5	0.23	0.063	67	3.5	0.63	11.1
8	0.62	0.086	19	3.22	0.69	13.4
5	0.59	0.095	22	3.37	0.58	10.3
5	0.63	0.097	65	3.28	0.58	9.6
7	0.33	0.084	22	3.26	0.74	11.2
3	0.58	0.074	47	3.25	0.57	9
6	0.43	0.083	23	3.35	0.61	11.3
5	0.615	0.087	19	3.26	0.61	9.3
5	0.26	0.085	25	3.18	0.61	11.8
5	0.66	0.098	129	3.08	0.53	9
6	0.315	0.084	15	2.98	0.7	9.2
5	0.29	0.098	26	3.48	0.91	9.7
6	0.5	0.069	51	3.16	0.72	11.5
6	0.46	0.065	18	3.32	0.79	14
6	0.36	0.09	21	3.17	0.62	9.2
5	0.82	0.07	48	3.2	0.58	9.8
5	0.32	0.093	47	3.05	0.61	10.6
6	0.54	0.081	52	3.2	0.71	11.4
6	0.37	0.083	68	3.15	0.82	10.4
5	0.35	0.062	14	3.26	0.79	10.6
6	0.28	0.08	24	3.2	0.89	9.4
5	0.68	0.087	28	3.14	0.6	10.2
5	0.27	0.091	16	3.28	0.7	9.7
6	0.24	0.075	20	3.18	1.06	11
5	0.68	0.087	28	3.14	0.6	10.2
6	0.685	0.077	31	3.19	0.7	10.1
5	0.28	0.069	23	3.12	0.66	9.2
8	0.3	0.08	17	3.15	0.92	11.7
5	0.36	0.152	18	3.04	1.05	9.4
5	0.36	0.152	18	3.04	1.06	9.4
6	0.44	0.114	24	3.06	0.66	13.4
5	0.67	0.054	17	3.17	0.47	10
5	0.67	0.054	17	3.17	0.47	10
6	0.645	0.053	14	3.17	0.42	10
7	0.32	0.081	67	3.32	0.92	10.8
6	0.39	0.073	26	3.34	0.75	10.2
6	0.775	0.078	56	3.31	0.67	10.6
7	0.41	0.055	25	3.34	0.79	13.3
7	0.4	0.052	27	3.32	0.9	13.4
6	0.69	0.086	81	3.48	0.74	11.6
6	0.39	0.051	91	3.44	0.55	12.1
8	0.35	0.07	16	3.15	0.65	11
6	0.52	0.081	38	3.43	0.65	9
5	0.34	0.09	113	3.32	0.79	11.1
8	0.35	0.07	16	3.15	0.65	11
6	0.69	0.086	81	3.48	0.74	11.6
6	0.52	0.081	38	3.43	0.65	9
7	0.44	0.074	76	3.17	0.85	12
7	0.44	0.074	76	3.17	0.85	12
7	0.26	0.078	24	3.18	1.04	10.9
7	0.24	0.077	22	3.21	1.05	10.8
7	0.49	0.072	26	3.16	0.78	12.5
7	0.24	0.075	21	3.25	1.02	10.8
6	0.67	0.084	13	3.17	0.71	9.5
6	0.59	0.09	62	3.18	0.63	10.2
7	0.29	0.084	43	3.04	0.68	11.4
5	0.42	0.073	43	3.02	0.61	9.5
6	0.59	0.09	62	3.18	0.63	10.2
6	0.4	0.125	49	3.03	0.81	9.7
7	0.51	0.107	15	3.09	0.66	11.8
7	0.51	0.107	15	3.09	0.66	11.8
5	0.655	0.122	151	3.31	1.14	9.3
6	0.6	0.1	14	3.25	0.74	11.9
3	0.61	0.2	16	3.16	0.63	8.4
6	0.21	0.088	32	3.22	0.68	11.7
5	0.365	0.088	106	3.36	0.78	11
6	0.25	0.088	33	3.42	0.9	10
5	0.41	0.088	43	3.48	0.64	9.1
5	0.39	0.099	133	3.38	0.99	9.8
5	0.4	0.085	142	3.22	0.55	9.4
5	0.43	0.086	116	3.23	0.64	9.5
5	0.64	0.105	53	3.24	0.67	9.9
5	0.365	0.088	106	3.36	0.78	11
6	0.38	0.097	85	3.39	0.77	11.4
6	0.42	0.084	55	3.34	0.75	8.7
5	0.63	0.077	33	3.09	0.57	9.4
6	0.22	0.078	28	3.41	0.87	10.3
5	0.38	0.098	42	3.16	0.61	10.3
5	0.38	0.098	42	3.16	0.61	10.3
6	0.27	0.072	33	3.22	0.66	12.8
6	0.48	0.102	32	3.28	0.56	10
6	0.22	0.078	28	3.41	0.87	10.3
5	0.63	0.077	33	3.09	0.57	9.4
6	0.825	0.084	13	3.37	0.77	10.7
7	0.35	0.066	35	3.2	0.66	12
5	0.5	0.1	17	3.22	0.62	11.2
5	0.59	0.101	47	3.26	0.67	9.6
6	0.46	0.064	17	3.21	0.73	11
5	0.715	0.07	20	3.12	0.59	9.9
6	0.66	0.085	53	3.06	0.72	11
6	0.31	0.075	15	2.86	0.79	8.4
5	0.47	0.094	106	3.08	0.59	9.1
6	0.55	0.078	28	3.45	0.78	9.5
6	0.31	0.067	21	3.26	0.86	10.7
6	0.35	0.079	69	3.12	0.75	10.4
6	0.53	0.171	25	3.27	0.61	9.4
6	0.51	0.074	25	3.33	0.56	9.5
6	0.43	0.092	45	3.19	0.73	10
6	0.46	0.092	44	3.12	0.74	10
5	1.04	0.05	96	3.74	0.62	11.5
5	0.645	0.095	23	2.92	0.74	11.1
5	0.645	0.095	23	2.92	0.74	11.1
6	0.53	0.118	17	3.07	0.56	11.7
5	0.645	0.095	23	2.92	0.74	11.1
6	0.53	0.118	17	3.07	0.56	11.7
6	0.47	0.085	47	3.3	0.68	12.7
5	0.6	0.075	19	3.14	0.57	11.4
5	0.44	0.078	121	3.23	0.58	9.2
5	0.54	0.094	110	3.08	0.61	9.2
6	0.29	0.092	60	3.31	0.61	10.1
6	0.47	0.085	47	3.3	0.68	12.7
5	0.6	0.075	19	3.14	0.57	11.4
6	0.7	0.226	15	3.32	0.6	9
6	0.7	0.226	15	3.32	0.6	9
6	0.5	0.25	20	3.31	0.79	10.7
6	0.36	0.095	42	3.57	0.57	11.7
6	0.35	0.07	37	3.32	0.91	11
6	0.36	0.095	42	3.57	0.57	11.7
5	0.24	0.075	28	3.14	0.61	10.4
4	0.59	0.07	47	3.3	0.56	9.6
6	0.34	0.078	78	3.19	0.7	10
6	0.27	0.079	46	3.2	0.8	10.2
4	0.5	0.103	14	3.34	0.52	10
5	0.44	0.083	111	3.3	0.6	9.5
5	0.47	0.085	110	3.29	0.6	9.8
6	0.31	0.063	40	3.14	0.51	9.8
5	0.5	0.089	14	3.19	0.44	9.6
5	0.5	0.089	14	3.19	0.44	9.6
5	0.49	0.083	15	3.19	0.43	9.2
7	0.28	0.074	21	2.98	0.66	9.9
7	0.33	0.093	80	3.3	0.76	10.7
6	0.51	0.091	38	3.47	0.66	9.6
7	0.31	0.094	47	3.12	1.02	10.6
5	0.73	0.108	102	3.26	0.59	9.3
8	0.42	0.06	50	3.72	0.74	14
7	0.29	0.059	13	3.05	0.74	10.5
5	0.45	0.084	75	3.35	0.57	9.7
6	0.39	0.07	149	3.12	0.5	11.5
5	0.45	0.084	75	3.35	0.57	9.7
5	0.49	0.094	43	3.29	0.58	9
5	0.72	0.096	38	3.4	0.53	9.5
5	0.595	0.086	109	3.27	0.57	9.3
6	0.4	0.059	24	3.04	0.6	9.3
6	0.58	0.071	18	3.09	0.63	10
6	0.585	0.078	30	3.2	0.48	9.8
6	0.59	0.082	22	3	0.7	9.3
4	0.915	0.088	23	3.26	0.47	10
6	0.46	0.071	35	3.1	0.56	9
5	0.835	0.081	14	3.3	0.52	9.3
6	0.46	0.071	35	3.1	0.56	9
6	0.58	0.096	63	3.17	0.62	9.1
6	0.6	0.085	24	3.31	0.59	9.2
7	0.41	0.072	20	3.34	0.79	12.2
6	0.48	0.092	52	3.31	0.53	10.5
6	0.65	0.11	65	3.32	0.64	10.4
6	0.36	0.075	39	3.56	0.52	12.7
5	0.24	0.083	57	3.39	0.54	9.2
5	0.38	0.081	16	2.98	0.54	9.4
6	0.64	0.077	29	3.32	0.6	10
5	0.39	0.058	29	3.26	0.74	9.8
6	0.755	0.148	103	2.87	1.36	10.2
5	0.6	0.079	71	3.5	0.57	9.7
5	0.6	0.079	71	3.5	0.57	9.7
6	0.31	0.079	28	3.03	0.93	9.8
5	0.46	0.122	17	3.13	0.7	10.2
5	0.37	0.088	16	3.09	0.8	9.3
5	0.54	0.076	112	3.27	0.61	9.4
5	0.56	0.078	104	3.28	0.62	9.4
5	0.58	0.08	32	3.13	0.55	9.5
6	0.51	0.077	45	3.49	0.96	12.1
5	0.69	0.124	58	3.46	0.72	10.2
5	0.69	0.124	58	3.46	0.72	10.2
5	0.6	0.098	15	3.36	0.49	9.1
5	0.6	0.098	15	3.36	0.49	9.1
6	0.54	0.097	31	3.27	0.6	9.3
5	0.685	0.111	84	3.21	0.61	9.3
6	0.54	0.097	31	3.27	0.6	9.3
5	0.28	0.105	19	3.25	0.63	9.5
6	0.41	0.087	43	3.32	0.57	10.5
4	0.935	0.105	86	3.43	0.64	11.3
5	0.35	0.073	102	3.27	0.58	9.5
5	0.84	0.065	33	3.27	0.55	9.7
5	0.88	0.086	147	3.24	0.53	9.4
5	0.885	0.084	145	3.24	0.53	9.4
7	0.915	0.143	23	3.35	0.65	10.2
6	0.29	0.067	57	3.18	1.36	10.3
5	0.54	0.071	40	3.39	0.62	9.4
5	0.59	0.071	68	3.46	0.63	9.5
5	0.54	0.071	40	3.39	0.62	9.4
5	0.59	0.071	68	3.46	0.63	9.5
5	0.54	0.071	40	3.39	0.62	9.4
7	0.64	0.115	11	3.37	0.69	10.1
5	0.67	0.107	20	3.4	0.63	10.1
4	0.845	0.07	14	3.32	0.58	11
7	0.48	0.066	28	3.33	0.67	11.2
6	0.42	0.068	148	3.16	0.57	11.3
5	0.43	0.106	32	2.89	0.5	9.6
5	0.88	0.104	155	3.41	0.67	11.2
5	0.36	0.096	71	2.98	0.84	14.9
6	0.33	0.079	30	3.12	0.54	12
5	0.47	0.074	29	3.08	0.46	9.5
5	0.55	0.087	53	3.14	0.61	9.4
5	0.43	0.106	32	2.89	0.5	9.6
7	0.5	0.073	42	2.92	0.68	10.5
6	0.52	0.074	20	3.32	0.81	9.6
4	0.84	0.096	13	3.41	0.57	11
6	0.52	0.074	20	3.32	0.81	9.6
5	0.42	0.08	42	3.31	0.64	9
6	0.57	0.076	27	3.36	0.7	9.6
6	0.28	0.05	13	3.04	0.79	10.2
5	0.4	0.092	54	3.03	0.66	10.2
5	0.59	0.084	48	3.14	0.56	9.7
6	0.49	0.222	16	3.18	0.6	9.5
6	0.34	0.082	15	2.94	0.66	9.2
5	0.73	0.059	31	3.15	0.57	11
6	0.34	0.082	15	2.94	0.66	9.2
5	0.4	0.083	45	3.26	0.58	10
5	0.73	0.074	13	3.2	0.52	9.5
5	1.24	0.079	151	3.15	0.53	9.5
5	0.73	0.074	13	3.2	0.52	9.5
6	0.4	0.084	17	3.08	0.67	9.3
5	0.41	0.064	31	3.26	0.65	10.2
6	0.4	0.084	17	3.08	0.67	9.3
5	0.8	0.084	31	3.4	0.48	9.9
5	0.78	0.081	87	3.48	0.53	10
5	0.26	0.06	49	3.13	0.54	9.6
5	0.43	0.07	40	3.06	0.49	9
6	0.45	0.094	29	3.21	0.49	10.2
5	0.46	0.078	58	3.33	0.54	9.8
5	0.78	0.059	15	3.37	0.56	11.3
5	0.98	0.078	152	3.25	0.48	9.4
5	0.78	0.059	15	3.37	0.56	11.3
5	0.65	0.07	40	3.44	0.6	9.1
5	0.64	0.095	38	3.28	0.59	9.7
5	0.66	0.039	9	3.4	0.47	9.4
5	0.38	0.157	17	3.3	1.05	9.4
3	1.185	0.097	14	3.63	0.54	10.7
5	0.92	0.087	93	3.48	0.54	9.8
5	0.49	0.422	62	3.03	1.17	9
5	0.48	0.084	122	3.32	0.62	9.4
5	0.47	0.084	125	3.31	0.61	9.4
6	0.47	0.034	44	3.9	0.62	12.8
6	0.65	0.066	25	3.47	0.67	9.5
6	0.65	0.066	25	3.47	0.67	9.5
5	0.615	0.087	72	3.31	0.53	9.7
6	0.38	0.071	19	3.11	0.62	10.8
6	1.02	0.076	88	3.08	0.57	10.1
6	0.65	0.066	25	3.47	0.67	9.5
6	0.64	0.067	23	3.47	0.67	9.4
4	0.38	0.073	84	3.32	0.7	9.6
4	0.765	0.078	14	3.29	0.54	9.7
5	1.035	0.073	54	3.37	0.49	9.9
5	0.78	0.093	19	3.4	0.47	10
5	0.49	0.077	37	3.37	0.51	10.5
6	0.545	0.068	35	3.34	0.61	11.6
6	0.31	0.062	33	3.27	0.66	10
5	1.025	0.08	84	3.06	0.57	10.1
5	0.565	0.093	112	3.38	0.61	9.5
5	0.69	0.084	33	3.36	0.45	9.4
5	0.43	0.075	48	3.34	0.46	9.4
5	0.74	0.078	77	3.28	0.51	9.8
6	0.49	0.069	34	3.29	0.48	9.2
5	0.43	0.075	48	3.34	0.46	9.4
5	0.46	0.079	49	3.21	0.57	10
5	0.56	0.082	22	3.22	0.44	9.6
5	0.66	0.086	45	3.46	0.54	9.5
5	0.56	0.082	22	3.22	0.44	9.6
5	0.48	0.094	106	3.1	0.53	9.2
5	0.42	0.084	48	3.21	0.59	10
5	0.31	0.053	127	2.94	1.62	9.5
4	1.115	0.086	12	3.54	0.6	11.2
5	0.66	0.077	13	3.29	0.55	10.4
6	0.72	0.084	49	3.43	0.72	11.1
5	0.57	0.067	11	3.46	0.68	9.5
5	0.57	0.067	11	3.46	0.68	9.5
6	0.865	0.071	58	3.61	0.49	12.7
5	0.55	0.387	37	3.17	0.67	9.6
5	0.875	0.088	14	3.44	0.52	11.5
5	0.835	0.092	19	3.39	0.47	9.6
5	0.45	0.082	72	3.55	0.6	9.5
5	0.56	0.075	39	3.48	0.62	9.3
5	0.965	0.112	22	3.26	0.5	9.5
5	0.965	0.112	22	3.26	0.5	9.5
6	0.59	0.093	58	3.5	0.65	9.3
5	0.46	0.092	104	3.1	0.56	9.2
5	0.69	0.088	38	3.35	0.6	9.3
6	0.76	0.075	16	3.45	0.68	11.5
5	0.53	0.078	139	3.21	0.57	9.5
5	0.615	0.065	18	3.46	0.65	9.2
5	0.41	0.096	101	3.13	0.53	10
5	0.39	0.095	101	3.13	0.51	9.5
6	0.51	0.07	28	3.52	0.73	9.5
6	0.34	0.08	57	3.3	0.47	9
5	0.33	0.083	68	3.3	0.48	9.4
6	0.5	0.071	31	3.52	0.72	9.6
6	0.51	0.07	28	3.52	0.73	9.5
5	0.65	0.089	40	3.29	0.55	9.5
5	0.65	0.089	40	3.29	0.55	9.5
5	0.54	0.097	66	3.39	0.61	9.4
5	0.65	0.089	40	3.29	0.55	9.5
6	0.48	0.415	32	3.09	1.06	9.1
6	0.91	0.058	47	3.51	0.43	10.7
6	0.98	0.057	33	3.6	0.46	11.2
5	0.87	0.084	31	3.25	0.5	9.8
5	0.87	0.084	31	3.25	0.5	9.8
5	0.42	0.092	88	3.19	0.52	9.2
5	0.58	0.075	104	3.23	0.57	9.7
5	0.655	0.096	35	3.25	0.42	9.6
6	0.7	0.069	19	3.31	0.53	10
5	0.655	0.096	35	3.25	0.42	9.6
6	0.68	0.093	44	3.31	0.55	9.5
6	0.67	0.091	48	3.31	0.54	9.5
5	0.59	0.089	74	3.14	0.54	9.4
5	0.6	0.103	98	3.45	0.62	9.5
6	0.59	0.082	94	3.55	0.53	9.7
5	0.72	0.076	32	3.39	0.54	9.6
6	0.59	0.082	94	3.55	0.53	9.7
5	0.685	0.082	143	3.28	0.55	9.4
5	0.57	0.082	144	3.27	0.55	9.4
6	0.4	0.157	44	3.3	0.92	9.5
6	0.4	0.157	45	3.31	0.91	9.5
5	1	0.102	16	3.43	0.46	10
6	0.765	0.243	48	3.4	0.6	10.3
6	0.635	0.241	18	3.4	0.59	10.3
5	0.43	0.079	34	3.36	0.61	10.5
5	0.52	0.076	92	3.5	0.6	9.8
6	0.57	0.19	45	3.31	0.6	9.4
5	0.46	0.114	37	3.66	0.65	9.8
5	0.82	0.081	96	3.36	0.53	10
5	0.46	0.114	37	3.66	0.65	9.8
5	0.59	0.077	85	3.55	0.59	9.8
5	0.35	0.083	61	3.21	0.5	9.5
5	0.35	0.083	61	3.21	0.5	9.5
6	0.56	0.079	58	3.18	0.56	10.1
6	0.56	0.079	58	3.18	0.56	10.1
5	0.63	0.099	119	3.09	0.52	9.3
6	0.37	0.082	82	3.33	0.68	9.7
5	0.64	0.084	130	3.23	0.54	9.6
6	0.61	0.081	87	3.48	0.6	9.7
5	0.6	0.055	13	3.38	0.56	10.8
6	0.27	0.065	26	3.17	0.53	12.5
5	0.89	0.132	60	2.99	1.18	10.2
5	0.46	0.126	64	3.1	0.74	9.6
7	0.37	0.038	42	3.24	0.81	10.8
6	0.5	0.082	14	3.29	0.52	10.7
6	0.5	0.082	14	3.29	0.52	10.7
5	0.61	0.082	108	3.25	0.51	9.4
5	0.55	0.068	17	3.23	0.44	10
7	0.585	0.044	86	3.56	0.94	12.9
6	0.56	0.114	46	3.24	0.66	9.6
6	0.52	0.084	18	3.26	0.57	9.9
7	0.28	0.052	10	3.33	0.7	12.8
7	0.25	0.041	10	3.27	0.71	12.5
7	0.28	0.052	10	3.33	0.7	12.8
5	0.53	0.165	12	3.26	0.86	9.2
6	0.48	0.07	15	3.22	0.55	10.3
5	0.49	0.068	14	3.3	0.47	10.5
6	0.5	0.072	24	3.09	0.68	10.9
5	0.45	0.099	38	3.24	0.71	10.8
4	0.39	0.102	7	3.44	0.58	11.4
6	0.41	0.103	41	3.21	0.76	11.3
5	0.45	0.099	38	3.24	0.71	10.8
6	0.51	0.081	30	3.23	0.58	10.5
6	0.29	0.084	27	3.28	0.73	11.9
5	0.715	0.071	47	3.29	0.45	9.4
5	0.66	0.097	59	3.28	0.54	9.6
5	0.685	0.099	22	3.34	0.6	9.7
7	0.42	0.048	42	3.71	0.74	14
5	0.54	0.076	36	3.61	0.64	9.8
5	0.54	0.076	36	3.61	0.64	9.8
5	0.48	0.068	16	3.24	0.53	10.3
5	0.46	0.076	37	3.36	0.49	10.7
7	0.27	0.05	8	3.4	0.64	11
5	0.46	0.076	37	3.36	0.49	10.7
8	0.57	0.065	45	3.46	0.74	12.7
6	0.61	0.071	24	3.56	0.77	11.1
4	0.685	0.058	9	3.38	0.55	10.9
6	0.61	0.071	24	3.56	0.77	11.1
3	0.44	0.145	48	3.38	0.86	9.9
4	0.47	0.147	51	3.38	0.86	9.9
5	0.685	0.088	23	3.32	0.47	9.4
5	0.665	0.066	55	3.39	0.51	9.3
7	0.28	0.012	100	3.26	0.39	11.7
7	0.28	0.012	100	3.26	0.39	11.7
7	0.31	0.075	28	3.24	0.83	11.2
5	0.5	0.092	26	3.46	0.47	10
7	0.42	0.085	34	3.24	0.77	12.1
5	0.66	0.115	31	3.45	0.63	10.3
6	0.5	0.119	68	3.23	0.72	10.9
5	0.685	0.088	92	3.28	0.62	9.4
6	0.25	0.062	42	3.18	0.83	10.6
5	0.64	0.081	31	3.59	0.66	9.8
5	0.64	0.081	31	3.59	0.66	9.8
6	0.68	0.078	39	3.5	0.7	9.9
5	0.64	0.081	31	3.59	0.66	9.8
5	0.63	0.08	32	3.58	0.66	9.8
5	0.43	0.085	22	3.28	0.55	9.5
5	0.43	0.085	22	3.28	0.55	9.5
5	0.42	0.08	122	3.22	1.07	9.7
6	0.36	0.08	55	3.47	0.73	10.9
6	0.36	0.08	55	3.47	0.73	10.9
7	0.735	0.071	14	3.51	0.71	11.7
6	0.36	0.08	55	3.47	0.73	10.9
7	0.26	0.073	47	3.4	0.78	11.3
7	0.28	0.054	32	3.15	0.67	10.6
6	0.56	0.074	24	3.4	0.82	11.2
5	0.62	0.077	85	3.51	0.54	9.5
6	1.01	0.039	88	3.66	0.6	11.5
5	0.42	0.067	25	3.24	0.44	10.4
5	0.62	0.078	84	3.51	0.53	9.7
5	0.62	0.077	85	3.51	0.54	9.5
5	0.635	0.077	86	3.51	0.54	9.7
6	0.49	0.071	24	3.41	0.83	11.3
6	0.51	0.072	22	3.4	0.84	11.2
6	0.56	0.074	24	3.4	0.82	11.2
6	0.63	0.08	43	3.44	0.64	10.9
6	0.715	0.064	43	3.41	0.57	11.8
5	0.56	0.086	46	3.53	0.57	10.6
4	0.35	0.067	48	3.43	0.54	10
7	0.21	0.067	10	3.23	0.58	11.1
7	0.38	0.104	10	3.12	0.65	11.8
7	0.31	0.109	16	3.31	0.79	11.8
4	0.47	0.067	14	3.4	0.58	10.9
6	0.715	0.064	43	3.41	0.57	11.8
6	0.61	0.094	69	3.22	0.5	10
5	0.6	0.076	88	3.53	0.55	9.5
5	0.56	0.078	21	3.15	0.49	9.9
6	0.715	0.068	35	3.48	0.65	11.4
6	0.31	0.194	26	3.22	0.78	12
5	0.6	0.076	88	3.53	0.55	9.5
6	0.61	0.094	69	3.22	0.5	10
5	0.75	0.086	30	3.34	0.64	10.5
6	0.8	0.083	28	3.33	0.65	10.4
7	0.52	0.066	56	3.15	0.79	12.1
6	0.57	0.072	64	3.43	0.56	11.2
5	0.9	0.112	99	3.22	0.68	9.3
5	0.34	0.071	52	3.44	0.58	10.1
5	0.66	0.078	86	3.53	0.57	9.7
6	0.45	0.082	18	3.22	0.65	9.3
5	0.66	0.078	86	3.53	0.57	9.7
6	0.63	0.08	88	3.53	0.58	9.8
6	0.59	0.08	43	3.42	0.58	10.7
7	0.31	0.078	43	3.31	0.77	12.5
6	0.59	0.08	43	3.42	0.58	10.7
7	0.31	0.078	43	3.31	0.77	12.5
3	1.02	0.084	11	3.48	0.49	11
5	0.31	0.056	39	3.4	0.69	11.8
7	0.635	0.08	33	3.58	0.69	10.8
7	0.635	0.08	33	3.58	0.69	10.8
7	0.59	0.06	18	3.41	0.59	10.8
7	0.59	0.06	18	3.41	0.59	10.8
5	0.58	0.081	115	3.23	0.59	9.5
5	0.54	0.084	78	3.39	0.71	11
6	0.56	0.079	9	3.59	0.54	11.5
6	0.52	0.078	61	3.43	0.59	10.8
6	0.305	0.059	11	3.29	0.52	11.5
6	0.38	0.132	11	3.23	0.57	13.2
6	0.28	0.114	9	3.18	0.6	10.9
6	0.46	0.065	8	3.33	0.62	12.2
7	0.395	0.094	10	3.27	0.64	12.2
6	0.305	0.059	11	3.29	0.52	11.5
6	0.315	0.079	6	3.27	0.67	11.9
5	0.715	0.161	62	3.62	0.61	11
6	0.41	0.084	45	3.38	0.64	10.1
6	0.36	0.081	79	3.3	0.72	11
6	0.62	0.072	46	3.38	0.89	11.8
5	0.41	0.091	23	3.24	0.56	10.5
6	0.36	0.081	79	3.3	0.72	11
6	0.62	0.072	46	3.38	0.89	11.8
6	0.41	0.084	45	3.38	0.64	10.1
5	0.47	0.055	28	3.18	0.8	11.2
7	0.22	0.064	77	3.47	0.87	11
6	0.24	0.061	73	3.47	0.9	10.2
4	0.67	0.093	75	3.2	0.59	9.2
5	0.47	0.055	28	3.18	0.8	11.2
7	0.33	0.063	19	3.3	0.73	12
5	0.61	0.08	25	3.69	0.73	10.5
5	0.61	0.074	38	3.48	0.65	9.8
6	0.4	0.078	66	3.45	0.59	9.5
5	0.61	0.074	38	3.48	0.65	9.8
5	0.61	0.08	25	3.69	0.73	10.5
6	0.3	0.06	72	3.39	0.72	11.8
6	0.3	0.06	72	3.39	0.72	11.8
4	0.63	0.071	26	3.07	0.6	10.4
7	0.38	0.068	42	3.34	0.72	12.9
5	0.46	0.073	11	3.61	0.54	11.4
7	0.33	0.074	25	3.36	0.76	12.4
7	0.27	0.082	17	3.19	0.52	12.5
7	0.43	0.092	52	3.22	0.64	10
7	0.5	0.094	45	3.24	0.6	9.7
7	0.3	0.09	24	3.27	0.64	12.1
7	0.44	0.071	20	3.14	0.79	11.1
7	0.44	0.092	24	3.29	0.99	12
7	0.28	0.093	12	3.26	0.62	12.4
7	0.12	0.075	21	3.41	0.76	11.9
7	0.12	0.075	21	3.41	0.76	11.9
7	0.12	0.075	21	3.41	0.76	11.9
7	0.28	0.093	12	3.26	0.62	12.4
7	0.31	0.058	10	3.31	0.68	11.2
7	0.34	0.052	9	3.2	0.69	12.1
6	0.43	0.082	11	3.44	0.54	12.2
5	0.21	0.09	23	3.36	0.67	10.4
6	0.36	0.111	10	3.31	0.62	11.3
6	0.37	0.088	51	3.29	0.58	11.1
7	0.57	0.12	36	3.47	0.71	11.3
5	0.59	0.089	32	3.36	0.61	10
6	0.47	0.058	38	3.16	0.85	11.1
5	0.56	0.078	18	3.27	0.62	9.3
5	0.57	0.115	16	3.38	0.69	9.5
6	0.27	0.1	27	3.15	0.69	11.2
6	0.47	0.058	38	3.16	0.85	11.1
6	0.34	0.065	48	3.34	0.86	11
7	0.38	0.103	10	3.13	0.58	11.9
5	0.66	0.097	113	3.13	0.48	9.2
6	0.4	0.068	46	3.2	0.6	12.2
5	0.56	0.079	22	3.46	0.61	10.2
6	0.26	0.066	10	3.33	0.87	10.9
6	0.26	0.066	10	3.33	0.87	10.9
7	0.38	0.104	13	3.22	0.65	11.6
5	0.34	0.079	12	3.52	0.63	10.7
7	0.33	0.073	13	3.3	0.62	12.1
5	0.41	0.083	72	3.44	0.52	9.4
5	0.41	0.083	72	3.44	0.52	9.4
5	0.59	0.109	119	3.15	0.5	9.1
7	0.4	0.061	29	3.28	0.49	11.3
5	0.45	0.075	6	3.13	0.63	10.4
6	0.5	0.065	17	3.32	0.71	10.5
5	0.86	0.079	28	3.25	0.62	10
6	0.52	0.07	70	3.34	0.82	12.9
6	0.5	0.065	17	3.32	0.71	10.5
5	0.45	0.075	6	3.13	0.63	10.4
6	0.58	0.064	11	3.45	0.58	11.3
7	0.34	0.066	7	3.19	0.55	11.4
5	0.36	0.08	70	3.44	0.5	9.4
5	0.39	0.097	27	3.16	0.49	9.4
6	0.295	0.073	21	3.14	0.51	10.9
5	0.39	0.097	27	3.16	0.49	9.4
5	0.34	0.082	68	3.45	0.48	9.4
6	0.4	0.076	47	3.36	0.48	9.4
5	0.34	0.082	68	3.45	0.48	9.4
5	0.35	0.092	88	3.15	0.43	9.4
6	0.6	0.079	41	3.39	0.62	10.1
7	0.66	0.087	11	3.71	0.63	12.8
7	0.66	0.087	11	3.71	0.63	12.8
6	0.84	0.05	10	3.12	0.48	9.1
6	0.69	0.055	12	3.47	0.53	12.9
7	0.43	0.062	12	3.44	0.72	11.5
7	0.35	0.058	47	3.26	0.82	10.6
7	0.29	0.063	27	3.26	0.84	11.7
7	0.36	0.067	8	3.36	0.55	12.8
5	0.43	0.081	45	3.25	0.54	10.3
7	0.36	0.067	8	3.36	0.55	12.8
7	0.29	0.063	27	3.26	0.84	11.7
7	0.3	0.064	25	3.26	0.84	11.7
7	0.35	0.11	24	3.23	0.7	12
5	0.5	0.116	55	3.18	0.68	10.9
7	0.28	0.067	12	3.25	0.55	12.3
6	0.32	0.088	19	3.17	0.55	10.4
5	1.005	0.102	32	3.23	0.48	10
6	0.71	0.092	31	3.38	0.58	10
6	0.58	0.12	7	3.22	0.58	11.2
6	0.39	0.075	27	3.06	0.84	11.4
7	0.38	0.068	28	3.27	0.75	12.6
6	0.18	0.049	109	2.89	0.44	12.7
6	0.18	0.049	109	2.89	0.44	12.7
5	0.5	0.078	23	3.53	0.61	10.4
6	0.36	0.123	8	3.2	0.53	11.9
6	0.36	0.123	8	3.2	0.53	11.9
5	0.51	0.062	9	3.35	0.54	10.5
6	0.32	0.098	9	3.27	0.55	12.3
7	0.58	0.088	18	3.32	0.56	10.5
6	0.83	0.095	43	3.33	0.6	10.4
6	0.31	0.066	36	3.41	0.56	12.6
5	0.795	0.065	52	3.49	0.52	11.6
6	0.34	0.075	68	3.37	0.54	10.1
7	0.58	0.088	18	3.32	0.56	10.5
7	0.59	0.091	14	3.42	0.55	11.5
7	0.55	0.093	15	3.35	0.58	11
5	0.82	0.095	14	3.36	0.53	9.6
6	0.57	0.089	27	3.3	0.59	10.4
6	0.745	0.077	48	3.2	0.47	9.7
7	0.37	0.085	17	3.17	0.65	10.6
7	0.31	0.082	35	3.22	0.59	12.5
5	0.91	0.074	56	3.35	0.56	9.2
7	0.41	0.078	42	3.24	0.77	12.6
6	0.5	0.088	39	3.33	0.83	11.1
5	0.965	0.088	32	3.58	0.67	10.2
6	0.49	0.079	26	3.38	0.64	9.8
6	0.5	0.088	39	3.33	0.83	11.1
7	0.39	0.069	39	3.29	0.81	10.9
6	0.39	0.046	53	3.36	0.62	12.2
6	0.44	0.07	38	3.32	0.58	11.4
6	0.78	0.076	45	3.31	0.62	10.7
5	0.43	0.082	51	3.49	0.64	10.4
6	0.49	0.081	14	3.27	0.78	10.9
6	0.5	0.084	17	3.27	0.77	10.8
5	0.43	0.082	51	3.49	0.64	10.4
5	0.46	0.414	45	3.03	1.34	9.2
5	0.605	0.073	25	3.56	0.55	12.9
7	0.33	0.07	20	3.38	0.77	12.7
6	0.64	0.095	77	3.13	0.62	9.1
6	0.64	0.095	77	3.13	0.62	9.1
7	0.48	0.101	10	3.21	0.59	12.1
5	0.42	0.104	90	3.15	0.57	9.1
7	0.53	0.093	52	3.19	0.76	11.6
7	0.48	0.101	10	3.21	0.59	12.1
6	0.23	0.074	8	3.14	0.7	9.9
8	0.4	0.071	16	3.21	0.69	12.5
6	0.38	0.098	15	3.3	0.64	11.4
6	0.29	0.075	17	3.22	0.63	11.8
6	0.74	0.067	10	3.28	0.57	11.8
6	0.61	0.083	20	3.29	0.6	10.2
7	0.52	0.07	26	3.4	0.72	12.5
7	0.31	0.06	10	3.02	0.83	10.9
7	0.31	0.06	10	3.02	0.83	10.9
5	0.62	0.086	52	3.31	0.62	10.8
7	0.33	0.057	37	3.18	0.89	11.1
5	0.77	0.098	92	3.2	0.58	9.2
6	0.35	0.083	75	3.4	0.58	9.5
6	0.62	0.088	37	3.31	0.58	10.7
5	0.77	0.098	92	3.2	0.58	9.2
7	0.25	0.071	67	3.44	0.86	10.2
6	0.32	0.073	8	3.15	0.73	11.4
5	0.37	0.08	8	3.27	0.58	11
5	0.37	0.08	8	3.27	0.58	11
7	0.3	0.05	278	3.01	0.51	12.3
6	0.27	0.047	8	3.16	0.51	11.8
7	0.3	0.05	289	3.01	0.51	12.3
6	0.38	0.073	70	3.42	0.59	9.5
6	0.42	0.072	59	3.33	0.77	12
6	0.38	0.073	70	3.42	0.59	9.5
5	0.48	0.074	64	3.12	0.49	9.6
7	0.34	0.055	9	3.38	0.66	11.6
6	0.19	0.057	30	3.29	0.69	11.2
7	0.41	0.095	41	3.02	0.76	9.9
7	0.41	0.095	41	3.02	0.76	9.9
8	0.26	0.083	74	2.98	0.63	11.8
6	0.34	0.086	19	3.35	0.6	11.4
6	0.54	0.081	16	3.43	0.59	11.5
7	0.31	0.079	31	3.33	0.86	12
6	0.725	0.117	17	3.35	0.49	10.8
5	0.4	0.087	20	3.15	0.5	10.5
6	0.725	0.117	17	3.35	0.49	10.8
5	0.52	0.096	18	3.2	0.52	9.4
7	0.31	0.216	16	3.15	0.81	12.5
5	0.52	0.096	18	3.2	0.52	9.4
6	0.34	0.072	36	3.11	0.78	12.4
6	0.49	0.071	25	3.35	0.63	12
6	0.48	0.078	30	3.45	0.54	11.2
6	0.49	0.071	25	3.35	0.63	12
6	0.48	0.073	25	3.28	0.66	12.4
5	0.57	0.048	49	3.41	0.6	12.8
6	0.23	0.069	17	3.21	0.54	12.3
7	0.3	0.068	24	3.27	0.85	11.7
5	0.78	0.09	13	3.36	0.49	9.5
6	0.47	0.171	66	3.17	0.76	10.8
6	0.53	0.07	14	3.25	0.64	10
7	0.42	0.092	55	3.78	0.64	12.3
6	0.33	0.056	35	3.29	0.71	11
6	0.24	0.074	10	3.12	0.59	9.5
6	0.4	0.046	80	3.49	0.66	13.6
6	0.69	0.091	21	3.38	0.6	11.3
6	0.69	0.091	21	3.38	0.6	11.3
6	0.69	0.091	21	3.38	0.6	11.3
6	0.39	0.065	24	3.3	0.53	13.3
5	0.66	0.066	15	3.52	0.58	12.9
8	0.54	0.076	17	3.2	0.72	13.1
6	0.5	0.062	28	3.44	0.55	12.3
6	0.47	0.055	33	3.45	0.48	12.3
6	0.4	0.081	29	3.12	0.65	11.2
4	0.58	0.096	13	3.62	0.62	11.5
7	0.24	0.055	27	3.14	0.59	11.3
6	0.29	0.063	11	3.39	0.54	13.5
6	0.76	0.072	52	3.51	0.6	11.5
5	0.43	0.095	89	3.22	0.68	10
6	0.43	0.092	70	3.21	0.69	10.5
6	0.6	0.058	10	3.18	0.63	10.4
5	0.19	0.045	135	3.32	0.44	9.5
7	0.36	0.075	38	3.38	0.88	13.6
7	0.48	0.089	18	3.37	0.68	11.2
7	0.28	0.061	15	3.3	0.74	11.8
6	0.25	0.067	50	3.38	0.6	11.9
6	0.52	0.08	13	3.22	0.76	11.4
6	0.52	0.08	13	3.22	0.76	11.4
5	0.41	0.104	94	3.14	0.58	9.1
6	0.51	0.079	86	3.34	0.64	9.5
6	0.4	0.08	79	3.41	0.65	9.5
6	0.38	0.08	71	3.27	0.85	11
6	0.45	0.043	12	3.3	0.65	11.4
6	0.22	0.065	20	3.61	0.82	10
5	0.32	0.066	70	3.43	0.62	10.1
6	0.2	0.076	51	3.53	0.81	10.4
6	0.5	0.178	21	3.28	0.87	9.8
7	0.41	0.071	14	3.21	0.49	11.8
6	0.39	0.086	21	3.39	0.66	11.6
6	0.35	0.061	11	3.23	0.52	12
7	0.33	0.067	12	3.3	0.76	12.8
6	0.58	0.044	70	3.46	0.65	12.5
5	0.6	0.118	38	3.15	0.53	9.8
6	0.42	0.083	38	3.23	0.66	11.1
6	0.58	0.1	63	3.59	0.68	11.4
5	0.6	0.118	38	3.15	0.53	9.8
7	0.18	0.071	88	3.33	0.76	11.8
7	0.51	0.042	101	3.46	0.87	12.9
6	0.41	0.076	54	3.42	1.16	10.6
5	0.41	0.11	37	3.16	0.67	10.8
7	0.36	0.087	20	3.14	0.72	11.1
6	0.45	0.076	21	3.21	0.75	10.2
7	0.32	0.075	19	3.14	0.71	11.8
5	0.785	0.078	21	3.29	0.67	10
5	0.785	0.078	21	3.29	0.67	10
5	0.44	0.369	38	3.01	1.1	9.4
5	0.54	0.111	60	2.94	0.98	10.2
7	0.33	0.074	48	3.32	0.88	12.4
6	0.34	0.067	44	3.21	0.56	12
6	0.5	0.086	14	3.32	0.62	11.5
6	0.36	0.062	12	3.2	0.67	10.5
6	0.59	0.078	44	3.42	0.68	10.8
6	0.42	0.074	16	3.27	0.74	12.3
6	0.36	0.079	65	3.46	0.62	9.5
6	0.36	0.079	65	3.46	0.62	9.5
6	0.61	0.095	59	3.61	0.7	11.5
4	0.88	0.079	47	3.58	0.5	11.2
7	0.66	0.052	11	3.35	0.66	12.7
5	0.915	0.041	78	3.68	0.73	11.4
6	0.35	0.076	47	3.27	0.81	11
6	0.35	0.076	47	3.27	0.81	11
5	0.39	0.068	11	3.19	0.46	11.4
6	0.4	0.068	54	3.38	0.86	10.5
5	0.66	0.07	61	3.29	0.6	9.3
5	0.64	0.08	119	3.36	0.7	10.9
6	0.43	0.085	39	3.33	0.46	11.9
5	0.8	0.079	12	3.52	0.5	12.2
6	0.43	0.085	39	3.33	0.46	11.9
5	0.64	0.08	119	3.36	0.7	10.9
4	0.955	0.075	19	3.3	0.44	9.6
6	0.4	0.08	20	3.28	0.57	12.5
5	0.885	0.166	12	3.56	0.51	10.8
7	0.25	0.063	41	3.52	0.8	12.4
5	0.885	0.166	12	3.56	0.51	10.8
6	0.745	0.114	64	3.22	0.59	9.5
6	0.43	0.078	56	3.52	0.6	9.5
6	0.58	0.076	94	3.21	0.58	9.5
6	0.57	0.069	9	3.16	0.54	9.8
6	0.26	0.052	77	3.15	0.79	10.9
6	0.58	0.076	94	3.21	0.58	9.5
6	0.57	0.069	9	3.16	0.54	9.8
7	0.34	0.065	10	3.27	0.54	11.2
8	0.42	0.068	12	3.35	0.69	11.7
5	0.74	0.111	76	3.14	0.55	9.4
7	0.36	0.074	44	3.4	0.85	11
7	0.36	0.074	44	3.4	0.85	11
7	0.36	0.074	44	3.4	0.85	11
5	0.72	0.136	52	3.35	0.94	10
7	0.36	0.074	44	3.4	0.85	11
7	0.39	0.071	24	3.45	0.87	11.2
6	0.65	0.078	15	3.35	0.62	10.4
5	0.44	0.076	53	3.32	0.62	9.3
6	0.65	0.078	15	3.35	0.62	10.4
6	0.38	0.071	13	3.15	0.75	10.5
6	0.33	0.081	9	3.1	0.48	10.4
6	0.27	0.095	29	3.26	0.56	11.3
6	0.57	0.079	79	3.29	0.69	9.5
6	0.34	0.057	74	3.23	0.81	12
6	0.4	0.082	24	3.24	0.69	10.6
6	0.39	0.044	50	3.2	0.83	10.9
6	0.32	0.132	44	3.28	0.77	11.5
6	0.32	0.132	44	3.28	0.77	11.5
6	0.53	0.078	89	3.26	0.46	9.6
6	0.36	0.074	23	3.23	0.76	12
6	0.39	0.08	20	3.07	0.82	10.3
5	0.46	0.091	77	3.15	0.51	9.4
5	0.58	0.08	46	3.02	0.47	9.2
5	0.58	0.104	21	3.27	0.72	9.6
7	0.42	0.044	88	3.68	0.73	13.6
5	0.43	0.075	66	3.4	0.64	9.5
6	0.18	0.066	58	3.37	0.78	11.8
5	0.815	0.074	90	3.38	0.62	10.8
5	0.43	0.075	66	3.4	0.64	9.5
4	0.23	0.057	36	3.23	0.49	9.3
6	0.75	0.059	18	3.39	0.4	12.8
4	0.33	0.054	113	3.3	0.56	11.5
6	0.55	0.07	17	3.26	0.64	9.4
6	0.75	0.059	18	3.39	0.4	12.8
4	0.73	0.081	24	3.38	0.46	9.6
4	0.67	0.057	20	3.45	0.56	11.8
5	0.61	0.076	60	3.1	0.4	9.3
5	0.37	0.079	65	3.16	0.59	9.8
6	0.4	0.058	40	3.22	0.6	12.2
5	0.56	0.082	86	3.37	0.62	9.5
6	0.29	0.067	160	3.33	0.54	10.3
5	0.55	0.082	34	3.49	0.68	10.5
5	0.74	0.086	48	3.12	0.48	10
5	0.55	0.082	34	3.49	0.68	10.5
6	0.41	0.081	36	3.41	0.75	11.1
6	0.6	0.079	37	3.4	0.61	10.9
6	0.6	0.079	37	3.4	0.61	10.9
5	0.58	0.077	60	3.28	0.59	9.8
5	0.72	0.123	14	3.45	0.58	9.8
5	0.66	0.096	13	3.43	0.58	9.5
5	0.7	0.079	35	3.4	0.69	10.9
5	0.64	0.069	46	3.47	0.45	11
5	0.59	0.082	60	3.1	0.42	9.2
6	0.58	0.085	69	3.32	0.7	11
6	0.64	0.123	33	3.44	0.63	11.3
6	0.64	0.123	33	3.44	0.63	11.3
5	0.635	0.403	56	3.02	1.15	9.3
4	1.02	0.083	24	3.59	0.55	11.2
5	0.45	0.081	66	3.15	0.58	9.8
4	0.78	0.089	26	3.37	0.46	9.6
6	0.37	0.066	51	3.38	0.72	11.8
6	0.57	0.081	36	3.38	0.6	10.3
6	0.57	0.081	36	3.38	0.6	10.3
6	0.43	0.068	19	3.1	0.87	11.4
6	0.41	0.079	51	3.47	0.55	9.5
8	0.49	0.044	87	3.5	0.82	14
6	0.38	0.048	60	3.7	0.75	14
6	0.44	0.049	64	3.38	0.57	11.7
5	0.46	0.077	44	3.5	0.53	11.2
5	0.58	0.073	44	3.1	0.43	9.3
6	0.58	0.102	36	3.24	0.53	11.2
6	0.715	0.075	81	3.24	0.54	9.5
4	0.4	0.05	10	3.28	0.56	12
6	0.69	0.114	10	3.35	0.6	9.7
6	0.715	0.075	81	3.24	0.54	9.5
7	0.3	0.062	9	3.14	0.57	11.5
6	0.46	0.077	54	3.37	0.64	10.4
6	0.46	0.077	54	3.37	0.64	10.4
6	0.765	0.084	22	3.33	0.68	10.9
6	0.63	0.096	69	3.26	0.63	10.2
5	0.42	0.071	36	3.39	0.56	10.9
5	0.37	0.09	47	3.15	0.57	10.5
6	0.16	0.068	31	3.35	0.54	12.4
5	0.6	0.056	7	3.22	0.37	13
5	0.6	0.068	110	3.3	1.17	10.2
5	0.6	0.068	110	3.3	1.17	10.2
5	0.74	0.1	12	3.36	0.59	11
6	0.635	0.073	60	3.29	0.75	10.9
6	0.395	0.056	28	3.62	0.67	12.4
4	0.755	0.084	12	3.34	0.49	9.7
6	0.635	0.073	60	3.29	0.75	10.9
5	0.63	0.093	77.5	3.2	0.45	9.5
5	0.63	0.093	77.5	3.2	0.45	9.5
6	0.53	0.064	29	3.35	0.61	12.1
6	0.6	0.063	18	3.45	0.56	12.2
3	1.58	0.137	9	3.5	0.4	10.9
6	0.645	0.08	28	3.78	0.61	12.5
6	0.86	0.1	57	3.6	0.74	11.7
6	0.37	0.064	15	3.3	0.8	11.2
5	0.28	0.081	68	3.36	0.66	11.2
5	0.79	0.087	68	3.12	0.44	9.2
5	0.61	0.073	88	3.3	0.53	9.8
5	0.69	0.088	91	3.29	0.62	10.1
4	0.68	0.068	29	3.41	0.52	11.1
5	0.69	0.088	91	3.29	0.62	10.1
5	0.62	0.071	63	3.28	0.61	9.2
5	0.61	0.073	88	3.3	0.53	9.8
6	0.51	0.064	27	3.33	0.59	12.8
5	1.18	0.083	41	3.34	0.47	10.5
6	0.36	0.086	65	3.4	0.54	10.1
6	0.36	0.086	69	3.4	0.53	10.1
6	0.63	0.083	91	3.26	0.58	9.8
6	0.74	0.041	46	4.01	0.59	12.5
6	0.44	0.091	41	3.18	0.69	11.9
6	0.63	0.083	91	3.26	0.58	9.8
6	0.76	0.414	64	2.9	1.33	9.1
5	0.66	0.094	88	3.26	0.66	10.1
6	0.74	0.041	46	4.01	0.59	12.5
5	0.34	0.058	18	3.18	0.55	11.4
7	0.36	0.06	55	3.18	0.82	11
6	0.46	0.077	34	3.39	0.6	10.6
6	0.46	0.077	34	3.39	0.6	10.6
6	0.46	0.077	34	3.39	0.6	10.6
6	0.46	0.077	34	3.39	0.6	10.6
5	0.52	0.073	38	3.34	0.52	9.3
6	0.6	0.083	91	3.29	0.56	9.8
6	0.6	0.083	91	3.29	0.56	9.8
5	0.87	0.107	67	3.26	0.46	9.2
6	0.39	0.075	25	3.09	0.43	9.7
5	0.775	0.079	48	3.18	0.51	9.6
5	0.835	0.166	11	3.39	0.52	10
6	0.58	0.069	40	3.38	0.66	12.6
5	0.5	0.057	26	3.36	0.45	9.5
5	0.5	0.057	26	3.36	0.45	9.5
5	0.5	0.057	26	3.36	0.45	9.5
6	0.51	0.084	31	3.36	0.54	10.5
6	0.51	0.084	31	3.36	0.54	10.5
6	0.51	0.084	31	3.36	0.54	10.5
6	0.54	0.085	31	3.37	0.51	10.4
6	0.51	0.084	31	3.36	0.54	10.5
5	0.42	0.077	20	3.09	0.53	11
6	0.44	0.063	28	3.25	0.53	10.2
5	0.59	0.056	13	3.52	0.56	11.4
5	0.655	0.078	12	3.34	0.39	9.5
5	0.655	0.078	12	3.34	0.39	9.5
5	0.57	0.081	41	3.41	0.52	10.8
5	0.6	0.069	73	3.34	0.57	10
6	0.62	0.065	46	3.32	0.51	11.8
5	0.645	0.086	57	3.37	0.46	10.3
5	0.645	0.086	57	3.37	0.46	10.3
5	0.58	0.077	28	3.35	0.52	10
5	0.32	0.086	32	3.36	0.44	10.1
5	0.34	0.084	28	3.36	0.44	10.1
6	0.43	0.078	67	3.6	0.59	11.1
5	0.64	0.168	98	3.28	0.5	9.5
6	0.475	0.091	28	3.07	0.65	10.03333333
5	0.54	0.112	38	3.24	0.56	10.9
5	0.85	0.093	54	3.36	0.54	10.1
6	0.475	0.091	28	3.07	0.65	10.03333333
4	0.83	0.08	63	3.29	0.48	9.8
6	0.605	0.096	31	3.46	0.53	11.8
5	0.5	0.115	42	3.18	0.62	9.5
5	0.74	0.094	45	3.24	0.5	9.8
6	0.54	0.088	105	3.25	1.18	10.5
6	0.77	0.079	74	3.27	0.5	9.8
4	0.61	0.069	8	3.33	0.37	10.4
5	0.78	0.415	66	3	1.17	9.2
6	0.58	0.153	14	3.21	1.03	11.6
5	0.78	0.415	66	3	1.17	9.2
5	0.75	0.11	89	3.24	0.45	9.3
3	0.815	0.267	29	3.32	0.51	9.8
5	0.56	0.083	100	3.26	0.52	9.9
5	0.885	0.086	31	3.11	0.46	10
6	0.49	0.09	74	3.71	0.62	12.2
6	0.45	0.078	28	3.29	0.51	9.9
6	0.57	0.077	35	3.36	0.62	10.8
6	0.57	0.077	35	3.36	0.62	10.8
5	0.83	0.074	25	3.38	0.45	9.6
5	0.6	0.08	105	3.3	0.49	9.9
5	0.6	0.08	105	3.3	0.49	9.9
5	0.755	0.107	84	3.19	0.5	9.5
5	0.81	0.076	85	3.19	0.42	9.2
5	0.64	0.1	23	3.3	0.58	9.6
5	0.64	0.1	23	3.3	0.58	9.6
5	0.64	0.083	49	3.35	0.68	10.3
5	0.48	0.08	111	3.1	0.53	9.7
6	0.49	0.068	33	3.58	0.59	12.5
5	0.64	0.094	33	3.37	0.58	11
5	0.62	0.07	12	3.17	0.48	9.8
5	0.52	0.078	59	3.3	0.48	10.2
5	0.57	0.07	73	3.32	0.48	9.2
6	0.685	0.092	12	3.31	0.65	9.55
5	0.675	0.09	11	3.31	0.65	9.55
5	0.59	0.08	104	3.28	0.52	9.9
7	0.6	0.083	28	3.52	0.62	10.2
6	0.67	0.068	24	3.42	0.72	11.1
5	0.69	0.08	141	3.25	0.51	9.9
5	0.69	0.08	141	3.25	0.51	9.9
6	0.3	0.052	24	3.44	0.82	11.9
8	0.33	0.061	13	3.23	1.1	10
6	0.5	0.082	46	3.43	0.62	10.7
7	0.28	0.062	34	3.28	0.9	11.3
6	0.24	0.062	22	3.22	0.94	10.9
6	0.51	0.064	54	3.54	0.93	10.7
7	0.29	0.048	53	3.27	1.01	12.4
6	0.51	0.064	54	3.54	0.93	10.7
6	0.96	0.082	16	3.5	0.44	11.9
6	0.47	0.071	19	3.56	0.73	10.6
6	0.24	0.062	22	3.22	0.94	10.9
5	0.57	0.104	89	3.04	0.9	10.1
5	0.32	0.077	15	3.2	0.78	9.6
5	0.58	0.065	18	3.56	0.84	9.4
5	0.32	0.077	15	3.2	0.78	9.6
7	0.34	0.064	37	3.35	0.77	12.1
5	0.53	0.077	19	3.16	0.46	9.8
5	0.64	0.077	133	3.27	0.45	9.9
5	0.53	0.077	19	3.16	0.46	9.8
5	0.4	0.079	58	3.34	0.58	9.4
6	0.54	0.079	55	3.39	0.84	11.4
4	0.53	0.123	31	3.5	0.67	11
6	0.26	0.076	23	3.26	0.7	9.6
6	0.26	0.076	23	3.26	0.7	9.6
6	0.23	0.046	60	3.41	0.71	12.1
5	0.41	0.078	23	3.3	0.58	11.2
5	0.64	0.072	55	3.31	0.63	11
5	0.18	0.049	67	3.33	0.93	11.3
5	0.41	0.066	47	3.37	0.62	10.4
6	0.43	0.069	74	3.26	0.54	9.9
6	0.44	0.042	11	3.48	0.85	11.7
7	0.4	0.069	25	3.42	0.74	10.1
6	0.54	0.214	95	3.18	0.77	9
6	0.54	0.214	95	3.18	0.77	9
5	0.38	0.169	90	3.15	0.65	8.5
5	0.915	0.07	39	3.53	0.54	11.1
5	0.59	0.052	8	3.41	0.47	10.3
6	0.67	0.072	92	3.32	0.68	11.06666667
7	0.37	0.062	28	3.23	0.73	11.3
6	0.785	0.094	98	3.16	0.52	9.566666667
5	0.63	0.078	30	3.4	0.75	9.8
5	0.58	0.058	22	3.38	0.49	11.7
6	0.67	0.072	92	3.32	0.68	11.1
6	0.785	0.094	98	3.16	0.52	9.6
5	0.63	0.078	30	3.4	0.75	9.8
5	0.67	0.08	39	3.4	0.74	9.7
5	0.58	0.08	54	3.4	0.73	9.7
8	0.38	0.056	29	3.23	0.76	11.3
7	0.37	0.062	28	3.23	0.73	11.3
7	0.32	0.104	17	3.33	0.78	11
7	0.58	0.062	53	3.35	0.76	11.6
5	0.49	0.074	85	3.41	0.58	9
6	0.45	0.073	23	3.21	0.69	10.9
6	0.9	0.052	17	3.5	0.63	10.9
6	0.54	0.05	89	3.3	0.5	10.55
5	0.49	0.074	85	3.41	0.58	9
5	0.29	0.067	20	3.39	0.6	10.5
7	0.2	0.054	15	3.32	0.8	11.9
6	0.42	0.054	64	3.41	0.68	10.4
4	0.785	0.06	13	3.59	0.61	10
6	0.64	0.075	31	3.36	0.58	10.4
6	0.63	0.076	39	3.34	0.53	10.8
5	0.59	0.063	53	3.41	0.67	9.7
5	0.59	0.063	53	3.41	0.67	9.7
7	0.48	0.062	54	3.3	0.65	10
4	1.04	0.067	32	3.52	0.57	11
7	0.48	0.062	54	3.3	0.65	10
3	0.98	0.061	49	3.31	0.55	9.7
5	0.69	0.084	24	2.88	0.47	9.7
5	0.7	0.067	16	3.43	0.52	12.6
6	0.35	0.073	44	3.38	0.79	11.1
5	0.6	0.071	45	3.38	0.54	11
5	0.5	0.205	82	3.16	0.75	8.8
7	0.47	0.048	89	3.54	0.88	13.56666667
5	0.5	0.205	82	3.16	0.75	8.8
7	0.47	0.048	89	3.54	0.88	13.6
3	0.875	0.082	14	3.4	0.52	10.2
5	0.28	0.104	22	3.39	0.68	10.6
4	0.62	0.08	13	3.66	0.62	10.1
5	0.28	0.104	22	3.39	0.68	10.6
4	0.58	0.114	9	3.33	0.57	10.3
5	0.33	0.042	12	3.35	0.61	10.7
4	0.91	0.06	11	3.53	0.64	10.9
5	0.655	0.074	25	3.37	0.55	9.7
5	0.68	0.07	23	3.38	0.6	10.3
5	0.64	0.066	17	3.52	0.78	10.6
5	0.54	0.049	13	3.72	0.58	11.4
6	0.57	0.048	11	3.44	0.76	10.8
6	0.22	0.039	18	3.39	0.56	12.4
5	0.54	0.049	13	3.72	0.58	11.4
5	0.65	0.05	18	3.57	0.54	11.95
5	0.54	0.089	147	3.26	0.59	9.7
7	0.31	0.066	28	3.42	0.7	10
6	0.43	0.08	28	3.35	0.81	10.6
5	0.54	0.089	147	3.26	0.59	9.7
6	0.74	0.054	16	3.45	0.63	11.5
6	0.895	0.068	13	3.53	0.58	10.8
6	0.74	0.054	16	3.45	0.63	11.5
5	0.725	0.076	15	3.26	0.53	9.6
5	0.82	0.083	64	3.16	0.53	9.4
5	0.585	0.078	60	3.31	0.54	9.8
6	0.44	0.077	14	3.51	0.69	11
6	0.38	0.106	12	3.36	0.55	11.4
3	0.76	0.078	12	3.55	0.63	9.95
6	0.81	0.07	14	3.51	0.66	10.8
6	0.38	0.106	12	3.36	0.55	11.4
6	0.27	0.074	25	3.38	0.72	10.6
5	0.18	0.062	20	3.28	0.7	11.1
6	0.36	0.047	48	3.47	0.77	9.7
5	0.69	0.068	27	3.44	0.67	9.8
6	0.79	0.061	17	3.53	0.65	10.4
6	0.56	0.078	65	3.33	0.6	10.5
6	0.84	0.074	65	3.53	0.72	9.233333333
6	0.84	0.074	65	3.53	0.72	9.25
5	0.32	0.071	58	3.42	0.97	10.6
6	0.53	0.063	44	3.38	0.83	10.3
5	0.47	0.114	20	3.32	0.63	10.5
5	0.7	0.106	27	3.44	0.58	10.2
6	0.53	0.063	44	3.38	0.83	10.3
4	0.48	0.082	23	3.39	0.43	9.05
5	0.32	0.071	58	3.42	0.97	10.6
5	0.48	0.076	61	3.34	0.6	10.4
6	0.42	0.075	47	3.39	0.78	10
5	0.48	0.064	34	3.33	0.64	9.7
6	0.47	0.064	38	3.3	0.65	9.6
6	0.53	0.071	24	3.29	0.66	10.8
6	0.29	0.096	59	3.31	0.67	10.1
6	0.69	0.063	52	3.42	0.6	10.2
6	0.44	0.063	18	3.42	0.69	11.3
5	0.705	0.081	28	3.6	0.66	10.2
6	0.53	0.058	22	3.21	0.68	9.9
5	0.39	0.074	84	3.39	0.61	9
7	0.56	0.064	29	3.42	0.62	11.7
6	0.55	0.075	35	3.36	0.59	9.7
6	0.53	0.077	45	3.6	0.68	10.3
6	0.58	0.059	31	3.5	0.64	10.2
5	0.64	0.081	26	3.57	0.63	12
5	0.39	0.065	60	3.46	0.78	9.9
6	0.52	0.071	32	3.56	0.63	11.6
7	0.25	0.054	49	3.4	0.76	10.9
6	0.855	0.064	38	3.3	0.56	10.75
6	0.44	0.064	19	3.25	0.57	10.4
7	0.37	0.063	19	3.17	0.81	11.2
6	0.63	0.059	28	3.36	0.64	10.1
5	0.57	0.072	26	3.36	0.61	10.2
5	0.6	0.048	26	3.55	0.51	12.1
5	0.4	0.099	50	3.1	0.58	10.4
8	0.36	0.074	24	3.24	0.7	11.4
5	0.68	0.087	26	3.45	0.53	9.5
5	0.67	0.083	27	3.44	0.54	9.4
6	0.68	0.103	54	3.51	0.66	11.3
5	0.735	0.08	28	3.41	0.6	9.4
6	0.855	0.062	23	3.54	0.6	11
7	0.56	0.065	24	3.44	0.68	10.55
5	0.88	0.066	20	3.53	0.56	9.9
6	0.855	0.062	23	3.54	0.6	11
5	0.63	0.235	115	3.22	0.56	9.5
5	0.6	0.08	131	3.21	0.52	9.9
5	0.6	0.08	131	3.21	0.52	9.9
5	0.6	0.08	131	3.21	0.52	9.9
5	0.695	0.076	20	3.29	0.54	10.1
5	0.695	0.076	20	3.29	0.54	10.1
5	0.695	0.076	20	3.29	0.54	10.1
6	0.67	0.061	42	3.39	0.82	10.9
6	0.16	0.059	52	3.34	0.71	11.2
5	0.695	0.076	20	3.29	0.54	10.1
5	0.56	0.077	42	3.34	0.59	9.2
6	0.51	0.056	34	3.48	0.57	11.5
6	0.36	0.23	35	3.37	0.93	12.4
6	0.38	0.038	25	3.44	0.65	11.1
5	0.69	0.069	104	3.33	0.51	9.5
6	0.58	0.075	50	3.58	0.67	12.5
6	0.31	0.074	92	3.39	0.48	10.5
6	0.52	0.06	20	3.26	0.64	11.8
6	0.3	0.081	29	3.3	0.78	10.8
6	0.7	0.076	27	3.54	0.6	11.9
6	0.67	0.118	20	3.42	0.67	11.3
5	0.56	0.053	32	3.54	0.6	11.3
6	0.35	0.068	26	3.36	0.6	11.9
5	0.56	0.053	32	3.54	0.6	11.3
5	0.715	0.053	27	3.57	0.5	11.9
5	0.46	0.074	98	3.33	0.62	9.8
7	0.32	0.061	34	3.29	0.8	11.6
6	0.39	0.066	48	3.3	0.84	11.5
6	0.31	0.065	60	3.34	0.85	11.4
6	0.61	0.066	28	3.55	0.66	10.9
6	0.66	0.068	102	3.27	0.78	12.8
5	0.725	0.073	79	3.29	0.54	9.2
6	0.55	0.077	35	3.32	0.82	11.6
6	0.74	0.089	26	3.67	0.56	11.6
6	0.51	0.076	40	3.42	0.75	11
6	0.62	0.068	38	3.42	0.82	9.5
5	0.6	0.09	44	3.45	0.58	10.5
6	0.55	0.062	51	3.52	0.76	11.2
6	0.51	0.076	40	3.42	0.75	11
5	0.645	0.075	44	3.57	0.71	10.2
6	0.31	0.067	42	3.39	0.66	11




Summary of computational transaction
Raw Input view raw input (R code)
Raw Outputview raw output of R engine
Computing time20 seconds
R ServerBig Analytics Cloud Computing Center

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input view raw input (R code)  \tabularnewline
Raw Outputview raw output of R engine  \tabularnewline
Computing time20 seconds \tabularnewline
R ServerBig Analytics Cloud Computing Center \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=309175&T=0

[TABLE]
[ROW]
Summary of computational transaction[/C][/ROW] [ROW]Raw Input[/C] view raw input (R code) [/C][/ROW] [ROW]Raw Output[/C]view raw output of R engine [/C][/ROW] [ROW]Computing time[/C]20 seconds[/C][/ROW] [ROW]R Server[/C]Big Analytics Cloud Computing Center[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=309175&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=309175&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 Outputview raw output of R engine
Computing time20 seconds
R ServerBig Analytics Cloud Computing Center







Multiple Linear Regression - Estimated Regression Equation
quality[t] = + 4.29573 -1.03819volatile_acidity[t] -2.00228chlorides[t] -0.00237213total_sulfur_dioxide[t] -0.435183pH[t] + 0.88868sulphates[t] + 0.290674alcohol[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
quality[t] =  +  4.29573 -1.03819volatile_acidity[t] -2.00228chlorides[t] -0.00237213total_sulfur_dioxide[t] -0.435183pH[t] +  0.88868sulphates[t] +  0.290674alcohol[t]  + e[t] \tabularnewline
 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=309175&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]quality[t] =  +  4.29573 -1.03819volatile_acidity[t] -2.00228chlorides[t] -0.00237213total_sulfur_dioxide[t] -0.435183pH[t] +  0.88868sulphates[t] +  0.290674alcohol[t]  + e[t][/C][/ROW]
[ROW][C][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=309175&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=309175&T=1

As an alternative you can also use a QR Code:  

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

Multiple Linear Regression - Estimated Regression Equation
quality[t] = + 4.29573 -1.03819volatile_acidity[t] -2.00228chlorides[t] -0.00237213total_sulfur_dioxide[t] -0.435183pH[t] + 0.88868sulphates[t] + 0.290674alcohol[t] + e[t]







Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)+4.296 0.3996+1.0750e+01 4.486e-26 2.243e-26
volatile_acidity-1.038 0.1004-1.0340e+01 2.734e-24 1.367e-24
chlorides-2.002 0.3981-5.0300e+00 5.463e-07 2.731e-07
total_sulfur_dioxide-0.002372 0.0005064-4.6840e+00 3.05e-06 1.525e-06
pH-0.4352 0.116-3.7500e+00 0.0001829 9.144e-05
sulphates+0.8887 0.11+8.0760e+00 1.31e-15 6.55e-16
alcohol+0.2907 0.01681+1.7290e+01 1.602e-61 8.008e-62

\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) & +4.296 &  0.3996 & +1.0750e+01 &  4.486e-26 &  2.243e-26 \tabularnewline
volatile_acidity & -1.038 &  0.1004 & -1.0340e+01 &  2.734e-24 &  1.367e-24 \tabularnewline
chlorides & -2.002 &  0.3981 & -5.0300e+00 &  5.463e-07 &  2.731e-07 \tabularnewline
total_sulfur_dioxide & -0.002372 &  0.0005064 & -4.6840e+00 &  3.05e-06 &  1.525e-06 \tabularnewline
pH & -0.4352 &  0.116 & -3.7500e+00 &  0.0001829 &  9.144e-05 \tabularnewline
sulphates & +0.8887 &  0.11 & +8.0760e+00 &  1.31e-15 &  6.55e-16 \tabularnewline
alcohol & +0.2907 &  0.01681 & +1.7290e+01 &  1.602e-61 &  8.008e-62 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=309175&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]+4.296[/C][C] 0.3996[/C][C]+1.0750e+01[/C][C] 4.486e-26[/C][C] 2.243e-26[/C][/ROW]
[ROW][C]volatile_acidity[/C][C]-1.038[/C][C] 0.1004[/C][C]-1.0340e+01[/C][C] 2.734e-24[/C][C] 1.367e-24[/C][/ROW]
[ROW][C]chlorides[/C][C]-2.002[/C][C] 0.3981[/C][C]-5.0300e+00[/C][C] 5.463e-07[/C][C] 2.731e-07[/C][/ROW]
[ROW][C]total_sulfur_dioxide[/C][C]-0.002372[/C][C] 0.0005064[/C][C]-4.6840e+00[/C][C] 3.05e-06[/C][C] 1.525e-06[/C][/ROW]
[ROW][C]pH[/C][C]-0.4352[/C][C] 0.116[/C][C]-3.7500e+00[/C][C] 0.0001829[/C][C] 9.144e-05[/C][/ROW]
[ROW][C]sulphates[/C][C]+0.8887[/C][C] 0.11[/C][C]+8.0760e+00[/C][C] 1.31e-15[/C][C] 6.55e-16[/C][/ROW]
[ROW][C]alcohol[/C][C]+0.2907[/C][C] 0.01681[/C][C]+1.7290e+01[/C][C] 1.602e-61[/C][C] 8.008e-62[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=309175&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=309175&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
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)+4.296 0.3996+1.0750e+01 4.486e-26 2.243e-26
volatile_acidity-1.038 0.1004-1.0340e+01 2.734e-24 1.367e-24
chlorides-2.002 0.3981-5.0300e+00 5.463e-07 2.731e-07
total_sulfur_dioxide-0.002372 0.0005064-4.6840e+00 3.05e-06 1.525e-06
pH-0.4352 0.116-3.7500e+00 0.0001829 9.144e-05
sulphates+0.8887 0.11+8.0760e+00 1.31e-15 6.55e-16
alcohol+0.2907 0.01681+1.7290e+01 1.602e-61 8.008e-62







Multiple Linear Regression - Regression Statistics
Multiple R 0.5976
R-squared 0.3572
Adjusted R-squared 0.3548
F-TEST (value) 147.4
F-TEST (DF numerator)6
F-TEST (DF denominator)1592
p-value 0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation 0.6487
Sum Squared Residuals 669.9

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R &  0.5976 \tabularnewline
R-squared &  0.3572 \tabularnewline
Adjusted R-squared &  0.3548 \tabularnewline
F-TEST (value) &  147.4 \tabularnewline
F-TEST (DF numerator) & 6 \tabularnewline
F-TEST (DF denominator) & 1592 \tabularnewline
p-value &  0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation &  0.6487 \tabularnewline
Sum Squared Residuals &  669.9 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=309175&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C] 0.5976[/C][/ROW]
[ROW][C]R-squared[/C][C] 0.3572[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C] 0.3548[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C] 147.4[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]6[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]1592[/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] 0.6487[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C] 669.9[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=309175&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=309175&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 0.5976
R-squared 0.3572
Adjusted R-squared 0.3548
F-TEST (value) 147.4
F-TEST (DF numerator)6
F-TEST (DF denominator)1592
p-value 0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation 0.6487
Sum Squared Residuals 669.9







Menu of Residual Diagnostics
DescriptionLink
HistogramCompute
Central TendencyCompute
QQ PlotCompute
Kernel Density PlotCompute
Skewness/Kurtosis TestCompute
Skewness-Kurtosis PlotCompute
Harrell-Davis PlotCompute
Bootstrap Plot -- Central TendencyCompute
Blocked Bootstrap Plot -- Central TendencyCompute
(Partial) Autocorrelation PlotCompute
Spectral AnalysisCompute
Tukey lambda PPCC PlotCompute
Box-Cox Normality PlotCompute
Summary StatisticsCompute

\begin{tabular}{lllllllll}
\hline
Menu of Residual Diagnostics \tabularnewline
Description & Link \tabularnewline
Histogram & Compute \tabularnewline
Central Tendency & Compute \tabularnewline
QQ Plot & Compute \tabularnewline
Kernel Density Plot & Compute \tabularnewline
Skewness/Kurtosis Test & Compute \tabularnewline
Skewness-Kurtosis Plot & Compute \tabularnewline
Harrell-Davis Plot & Compute \tabularnewline
Bootstrap Plot -- Central Tendency & Compute \tabularnewline
Blocked Bootstrap Plot -- Central Tendency & Compute \tabularnewline
(Partial) Autocorrelation Plot & Compute \tabularnewline
Spectral Analysis & Compute \tabularnewline
Tukey lambda PPCC Plot & Compute \tabularnewline
Box-Cox Normality Plot & Compute \tabularnewline
Summary Statistics & Compute \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=309175&T=4

[TABLE]
[ROW][C]Menu of Residual Diagnostics[/C][/ROW]
[ROW][C]Description[/C][C]Link[/C][/ROW]
[ROW][C]Histogram[/C][C]Compute[/C][/ROW]
[ROW][C]Central Tendency[/C][C]Compute[/C][/ROW]
[ROW][C]QQ Plot[/C][C]Compute[/C][/ROW]
[ROW][C]Kernel Density Plot[/C][C]Compute[/C][/ROW]
[ROW][C]Skewness/Kurtosis Test[/C][C]Compute[/C][/ROW]
[ROW][C]Skewness-Kurtosis Plot[/C][C]Compute[/C][/ROW]
[ROW][C]Harrell-Davis Plot[/C][C]Compute[/C][/ROW]
[ROW][C]Bootstrap Plot -- Central Tendency[/C][C]Compute[/C][/ROW]
[ROW][C]Blocked Bootstrap Plot -- Central Tendency[/C][C]Compute[/C][/ROW]
[ROW][C](Partial) Autocorrelation Plot[/C][C]Compute[/C][/ROW]
[ROW][C]Spectral Analysis[/C][C]Compute[/C][/ROW]
[ROW][C]Tukey lambda PPCC Plot[/C][C]Compute[/C][/ROW]
[ROW][C]Box-Cox Normality Plot[/C][C]Compute[/C][/ROW]
[ROW][C]Summary Statistics[/C][C]Compute[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=309175&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=309175&T=4

As an alternative you can also use a QR Code:  

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

Menu of Residual Diagnostics
DescriptionLink
HistogramCompute
Central TendencyCompute
QQ PlotCompute
Kernel Density PlotCompute
Skewness/Kurtosis TestCompute
Skewness-Kurtosis PlotCompute
Harrell-Davis PlotCompute
Bootstrap Plot -- Central TendencyCompute
Blocked Bootstrap Plot -- Central TendencyCompute
(Partial) Autocorrelation PlotCompute
Spectral AnalysisCompute
Tukey lambda PPCC PlotCompute
Box-Cox Normality PlotCompute
Summary StatisticsCompute







Ramsey RESET F-Test for powers (2 and 3) of fitted values
> reset_test_fitted
	RESET test
data:  mylm
RESET = 4.6146, df1 = 2, df2 = 1590, p-value = 0.01004
Ramsey RESET F-Test for powers (2 and 3) of regressors
> reset_test_regressors
	RESET test
data:  mylm
RESET = 8.2156, df1 = 12, df2 = 1580, p-value = 3.469e-15
Ramsey RESET F-Test for powers (2 and 3) of principal components
> reset_test_principal_components
	RESET test
data:  mylm
RESET = 7.6608, df1 = 2, df2 = 1590, p-value = 0.0004885

\begin{tabular}{lllllllll}
\hline
Ramsey RESET F-Test for powers (2 and 3) of fitted values \tabularnewline
> reset_test_fitted
	RESET test
data:  mylm
RESET = 4.6146, df1 = 2, df2 = 1590, p-value = 0.01004
\tabularnewline Ramsey RESET F-Test for powers (2 and 3) of regressors \tabularnewline
> reset_test_regressors
	RESET test
data:  mylm
RESET = 8.2156, df1 = 12, df2 = 1580, p-value = 3.469e-15
\tabularnewline Ramsey RESET F-Test for powers (2 and 3) of principal components \tabularnewline
> reset_test_principal_components
	RESET test
data:  mylm
RESET = 7.6608, df1 = 2, df2 = 1590, p-value = 0.0004885
\tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=309175&T=5

[TABLE]
[ROW][C]Ramsey RESET F-Test for powers (2 and 3) of fitted values[/C][/ROW]
[ROW][C]
> reset_test_fitted
	RESET test
data:  mylm
RESET = 4.6146, df1 = 2, df2 = 1590, p-value = 0.01004
[/C][/ROW] [ROW][C]Ramsey RESET F-Test for powers (2 and 3) of regressors[/C][/ROW] [ROW][C]
> reset_test_regressors
	RESET test
data:  mylm
RESET = 8.2156, df1 = 12, df2 = 1580, p-value = 3.469e-15
[/C][/ROW] [ROW][C]Ramsey RESET F-Test for powers (2 and 3) of principal components[/C][/ROW] [ROW][C]
> reset_test_principal_components
	RESET test
data:  mylm
RESET = 7.6608, df1 = 2, df2 = 1590, p-value = 0.0004885
[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=309175&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=309175&T=5

As an alternative you can also use a QR Code:  

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

Ramsey RESET F-Test for powers (2 and 3) of fitted values
> reset_test_fitted
	RESET test
data:  mylm
RESET = 4.6146, df1 = 2, df2 = 1590, p-value = 0.01004
Ramsey RESET F-Test for powers (2 and 3) of regressors
> reset_test_regressors
	RESET test
data:  mylm
RESET = 8.2156, df1 = 12, df2 = 1580, p-value = 3.469e-15
Ramsey RESET F-Test for powers (2 and 3) of principal components
> reset_test_principal_components
	RESET test
data:  mylm
RESET = 7.6608, df1 = 2, df2 = 1590, p-value = 0.0004885







Variance Inflation Factors (Multicollinearity)
> vif
    volatile_acidity            chlorides total_sulfur_dioxide 
            1.227967             1.332977             1.053830 
                  pH            sulphates              alcohol 
            1.218707             1.321237             1.218733 

\begin{tabular}{lllllllll}
\hline
Variance Inflation Factors (Multicollinearity) \tabularnewline
> vif
    volatile_acidity            chlorides total_sulfur_dioxide 
            1.227967             1.332977             1.053830 
                  pH            sulphates              alcohol 
            1.218707             1.321237             1.218733 
\tabularnewline \hline \end{tabular} %Source: https://freestatistics.org/blog/index.php?pk=309175&T=6

[TABLE]
[ROW][C]Variance Inflation Factors (Multicollinearity)[/C][/ROW]
[ROW][C]
> vif
    volatile_acidity            chlorides total_sulfur_dioxide 
            1.227967             1.332977             1.053830 
                  pH            sulphates              alcohol 
            1.218707             1.321237             1.218733 
[/C][/ROW] [/TABLE] Source: https://freestatistics.org/blog/index.php?pk=309175&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=309175&T=6

As an alternative you can also use a QR Code:  

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

Variance Inflation Factors (Multicollinearity)
> vif
    volatile_acidity            chlorides total_sulfur_dioxide 
            1.227967             1.332977             1.053830 
                  pH            sulphates              alcohol 
            1.218707             1.321237             1.218733 



Parameters (Session):
par1 = 1 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ; par4 = 0 ; par5 = 0 ; par6 = 12 ;
Parameters (R input):
par1 = 1 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ; par4 = 0 ; par5 = 0 ; par6 = 12 ;
R code (references can be found in the software module):
par6 <- '12'
par5 <- '0'
par4 <- '0'
par3 <- 'No Linear Trend'
par2 <- 'Do not include Seasonal Dummies'
par1 <- '1'
library(lattice)
library(lmtest)
library(car)
library(MASS)
n25 <- 25 #minimum number of obs. for Goldfeld-Quandt test
mywarning <- ''
par6 <- as.numeric(par6)
if(is.na(par6)) {
par6 <- 12
mywarning = 'Warning: you did not specify the seasonality. The seasonal period was set to s = 12.'
}
par1 <- as.numeric(par1)
if(is.na(par1)) {
par1 <- 1
mywarning = 'Warning: you did not specify the column number of the endogenous series! The first column was selected by default.'
}
if (par4=='') par4 <- 0
par4 <- as.numeric(par4)
if (!is.numeric(par4)) par4 <- 0
if (par5=='') par5 <- 0
par5 <- as.numeric(par5)
if (!is.numeric(par5)) par5 <- 0
x <- na.omit(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'){
(n <- n -1)
x2 <- array(0, dim=c(n,k), dimnames=list(1:n, paste('(1-B)',colnames(x),sep='')))
for (i in 1:n) {
for (j in 1:k) {
x2[i,j] <- x[i+1,j] - x[i,j]
}
}
x <- x2
}
if (par3 == 'Seasonal Differences (s)'){
(n <- n - par6)
x2 <- array(0, dim=c(n,k), dimnames=list(1:n, paste('(1-Bs)',colnames(x),sep='')))
for (i in 1:n) {
for (j in 1:k) {
x2[i,j] <- x[i+par6,j] - x[i,j]
}
}
x <- x2
}
if (par3 == 'First and Seasonal Differences (s)'){
(n <- n -1)
x2 <- array(0, dim=c(n,k), dimnames=list(1:n, paste('(1-B)',colnames(x),sep='')))
for (i in 1:n) {
for (j in 1:k) {
x2[i,j] <- x[i+1,j] - x[i,j]
}
}
x <- x2
(n <- n - par6)
x2 <- array(0, dim=c(n,k), dimnames=list(1:n, paste('(1-Bs)',colnames(x),sep='')))
for (i in 1:n) {
for (j in 1:k) {
x2[i,j] <- x[i+par6,j] - x[i,j]
}
}
x <- x2
}
if(par4 > 0) {
x2 <- array(0, dim=c(n-par4,par4), dimnames=list(1:(n-par4), paste(colnames(x)[par1],'(t-',1:par4,')',sep='')))
for (i in 1:(n-par4)) {
for (j in 1:par4) {
x2[i,j] <- x[i+par4-j,par1]
}
}
x <- cbind(x[(par4+1):n,], x2)
n <- n - par4
}
if(par5 > 0) {
x2 <- array(0, dim=c(n-par5*par6,par5), dimnames=list(1:(n-par5*par6), paste(colnames(x)[par1],'(t-',1:par5,'s)',sep='')))
for (i in 1:(n-par5*par6)) {
for (j in 1:par5) {
x2[i,j] <- x[i+par5*par6-j*par6,par1]
}
}
x <- cbind(x[(par5*par6+1):n,], x2)
n <- n - par5*par6
}
if (par2 == 'Include Seasonal Dummies'){
x2 <- array(0, dim=c(n,par6-1), dimnames=list(1:n, paste('M', seq(1:(par6-1)), sep ='')))
for (i in 1:(par6-1)){
x2[seq(i,n,par6),i] <- 1
}
x <- cbind(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[n,]))
if (par3 == 'Linear Trend'){
x <- cbind(x, c(1:n))
colnames(x)[k+1] <- 't'
}
print(x)
(k <- length(x[n,]))
head(x)
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$resid, type='b', pch=19, main='Residuals', ylab='value of Residuals', xlab='time or index')
grid()
dev.off()
bitmap(file='test2.png')
sresid <- studres(mylm)
hist(sresid, freq=FALSE, main='Distribution of Studentized Residuals')
xfit<-seq(min(sresid),max(sresid),length=40)
yfit<-dnorm(xfit)
lines(xfit, yfit)
grid()
dev.off()
bitmap(file='test3.png')
densityplot(~mysum$resid,col='black',main='Residual Density Plot', xlab='values of Residuals')
dev.off()
bitmap(file='test4.png')
qqPlot(mylm, main='QQ Plot')
grid()
dev.off()
(myerror <- as.ts(mysum$resid))
bitmap(file='test5.png')
dum <- cbind(lag(myerror,k=1),myerror)
dum
dum1 <- dum[2:length(myerror),]
dum1
z <- as.data.frame(dum1)
print(z)
plot(z,main=paste('Residual Lag plot, lowess, and regression line'), ylab='values of Residuals', xlab='lagged values of Residuals')
lines(lowess(z))
abline(lm(z))
grid()
dev.off()
bitmap(file='test6.png')
acf(mysum$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, signif(mysum$coefficients[i,1],6), sep=' ')
if (rownames(mysum$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.row.start(a)
a<-table.element(a, mywarning)
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,'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$coefficients)[i],header=TRUE)
a<-table.element(a,formatC(signif(mysum$coefficients[i,1],5),format='g',flag='+'))
a<-table.element(a,formatC(signif(mysum$coefficients[i,2],5),format='g',flag=' '))
a<-table.element(a,formatC(signif(mysum$coefficients[i,3],4),format='e',flag='+'))
a<-table.element(a,formatC(signif(mysum$coefficients[i,4],4),format='g',flag=' '))
a<-table.element(a,formatC(signif(mysum$coefficients[i,4]/2,4),format='g',flag=' '))
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,formatC(signif(sqrt(mysum$r.squared),6),format='g',flag=' '))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'R-squared',1,TRUE)
a<-table.element(a,formatC(signif(mysum$r.squared,6),format='g',flag=' '))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Adjusted R-squared',1,TRUE)
a<-table.element(a,formatC(signif(mysum$adj.r.squared,6),format='g',flag=' '))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (value)',1,TRUE)
a<-table.element(a,formatC(signif(mysum$fstatistic[1],6),format='g',flag=' '))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (DF numerator)',1,TRUE)
a<-table.element(a, signif(mysum$fstatistic[2],6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (DF denominator)',1,TRUE)
a<-table.element(a, signif(mysum$fstatistic[3],6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'p-value',1,TRUE)
a<-table.element(a,formatC(signif(1-pf(mysum$fstatistic[1],mysum$fstatistic[2],mysum$fstatistic[3]),6),format='g',flag=' '))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Residual Statistics', 2, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Residual Standard Deviation',1,TRUE)
a<-table.element(a,formatC(signif(mysum$sigma,6),format='g',flag=' '))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Sum Squared Residuals',1,TRUE)
a<-table.element(a,formatC(signif(sum(myerror*myerror),6),format='g',flag=' '))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable3.tab')
myr <- as.numeric(mysum$resid)
myr
a <-table.start()
a <- table.row.start(a)
a <- table.element(a,'Menu of Residual Diagnostics',2,TRUE)
a <- table.row.end(a)
a <- table.row.start(a)
a <- table.element(a,'Description',1,TRUE)
a <- table.element(a,'Link',1,TRUE)
a <- table.row.end(a)
a <- table.row.start(a)
a <-table.element(a,'Histogram',1,header=TRUE)
a <- table.element(a,hyperlink( paste('https://supernova.wessa.net/rwasp_histogram.wasp?convertgetintopost=1&data=',paste(as.character(mysum$resid),sep='',collapse=' '),sep='') ,'Compute','Click here to examine the Residuals.'),1)
a <- table.row.end(a)
a <- table.row.start(a)
a <-table.element(a,'Central Tendency',1,header=TRUE)
a <- table.element(a,hyperlink( paste('https://supernova.wessa.net/rwasp_centraltendency.wasp?convertgetintopost=1&data=',paste(as.character(mysum$resid),sep='',collapse=' '),sep='') ,'Compute','Click here to examine the Residuals.'),1)
a <- table.row.end(a)
a <- table.row.start(a)
a <-table.element(a,'QQ Plot',1,header=TRUE)
a <- table.element(a,hyperlink( paste('https://supernova.wessa.net/rwasp_fitdistrnorm.wasp?convertgetintopost=1&data=',paste(as.character(mysum$resid),sep='',collapse=' '),sep='') ,'Compute','Click here to examine the Residuals.'),1)
a <- table.row.end(a)
a <- table.row.start(a)
a <-table.element(a,'Kernel Density Plot',1,header=TRUE)
a <- table.element(a,hyperlink( paste('https://supernova.wessa.net/rwasp_density.wasp?convertgetintopost=1&data=',paste(as.character(mysum$resid),sep='',collapse=' '),sep='') ,'Compute','Click here to examine the Residuals.'),1)
a <- table.row.end(a)
a <- table.row.start(a)
a <-table.element(a,'Skewness/Kurtosis Test',1,header=TRUE)
a <- table.element(a,hyperlink( paste('https://supernova.wessa.net/rwasp_skewness_kurtosis.wasp?convertgetintopost=1&data=',paste(as.character(mysum$resid),sep='',collapse=' '),sep='') ,'Compute','Click here to examine the Residuals.'),1)
a <- table.row.end(a)
a <- table.row.start(a)
a <-table.element(a,'Skewness-Kurtosis Plot',1,header=TRUE)
a <- table.element(a,hyperlink( paste('https://supernova.wessa.net/rwasp_skewness_kurtosis_plot.wasp?convertgetintopost=1&data=',paste(as.character(mysum$resid),sep='',collapse=' '),sep='') ,'Compute','Click here to examine the Residuals.'),1)
a <- table.row.end(a)
a <- table.row.start(a)
a <-table.element(a,'Harrell-Davis Plot',1,header=TRUE)
a <- table.element(a,hyperlink( paste('https://supernova.wessa.net/rwasp_harrell_davis.wasp?convertgetintopost=1&data=',paste(as.character(mysum$resid),sep='',collapse=' '),sep='') ,'Compute','Click here to examine the Residuals.'),1)
a <- table.row.end(a)
a <- table.row.start(a)
a <-table.element(a,'Bootstrap Plot -- Central Tendency',1,header=TRUE)
a <- table.element(a,hyperlink( paste('https://supernova.wessa.net/rwasp_bootstrapplot1.wasp?convertgetintopost=1&data=',paste(as.character(mysum$resid),sep='',collapse=' '),sep='') ,'Compute','Click here to examine the Residuals.'),1)
a <- table.row.end(a)
a <- table.row.start(a)
a <-table.element(a,'Blocked Bootstrap Plot -- Central Tendency',1,header=TRUE)
a <- table.element(a,hyperlink( paste('https://supernova.wessa.net/rwasp_bootstrapplot.wasp?convertgetintopost=1&data=',paste(as.character(mysum$resid),sep='',collapse=' '),sep='') ,'Compute','Click here to examine the Residuals.'),1)
a <- table.row.end(a)
a <- table.row.start(a)
a <-table.element(a,'(Partial) Autocorrelation Plot',1,header=TRUE)
a <- table.element(a,hyperlink( paste('https://supernova.wessa.net/rwasp_autocorrelation.wasp?convertgetintopost=1&data=',paste(as.character(mysum$resid),sep='',collapse=' '),sep='') ,'Compute','Click here to examine the Residuals.'),1)
a <- table.row.end(a)
a <- table.row.start(a)
a <-table.element(a,'Spectral Analysis',1,header=TRUE)
a <- table.element(a,hyperlink( paste('https://supernova.wessa.net/rwasp_spectrum.wasp?convertgetintopost=1&data=',paste(as.character(mysum$resid),sep='',collapse=' '),sep='') ,'Compute','Click here to examine the Residuals.'),1)
a <- table.row.end(a)
a <- table.row.start(a)
a <-table.element(a,'Tukey lambda PPCC Plot',1,header=TRUE)
a <- table.element(a,hyperlink( paste('https://supernova.wessa.net/rwasp_tukeylambda.wasp?convertgetintopost=1&data=',paste(as.character(mysum$resid),sep='',collapse=' '),sep='') ,'Compute','Click here to examine the Residuals.'),1)
a <- table.row.end(a)
a <- table.row.start(a)
a <-table.element(a,'Box-Cox Normality Plot',1,header=TRUE)
a <- table.element(a,hyperlink( paste('https://supernova.wessa.net/rwasp_boxcoxnorm.wasp?convertgetintopost=1&data=',paste(as.character(mysum$resid),sep='',collapse=' '),sep='') ,'Compute','Click here to examine the Residuals.'),1)
a <- table.row.end(a)
a <- table.row.start(a)
a <- table.element(a,'Summary Statistics',1,header=TRUE)
a <- table.element(a,hyperlink( paste('https://supernova.wessa.net/rwasp_summary1.wasp?convertgetintopost=1&data=',paste(as.character(mysum$resid),sep='',collapse=' '),sep='') ,'Compute','Click here to examine the Residuals.'),1)
a <- table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable7.tab')
if(n < 200) {
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Actuals, Interpolation, and Residuals', 4, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Time or Index', 1, TRUE)
a<-table.element(a, 'Actuals', 1, TRUE)
a<-table.element(a, 'Interpolation
Forecast', 1, TRUE)
a<-table.element(a, 'Residuals
Prediction Error', 1, TRUE)
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,i, 1, TRUE)
a<-table.element(a,formatC(signif(x[i],6),format='g',flag=' '))
a<-table.element(a,formatC(signif(x[i]-mysum$resid[i],6),format='g',flag=' '))
a<-table.element(a,formatC(signif(mysum$resid[i],6),format='g',flag=' '))
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,formatC(signif(gqarr[mypoint-kp3+1,1],6),format='g',flag=' '))
a<-table.element(a,formatC(signif(gqarr[mypoint-kp3+1,2],6),format='g',flag=' '))
a<-table.element(a,formatC(signif(gqarr[mypoint-kp3+1,3],6),format='g',flag=' '))
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,signif(numsignificant1,6))
a<-table.element(a,formatC(signif(numsignificant1/numgqtests,6),format='g',flag=' '))
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,signif(numsignificant5,6))
a<-table.element(a,signif(numsignificant5/numgqtests,6))
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,signif(numsignificant10,6))
a<-table.element(a,signif(numsignificant10/numgqtests,6))
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')
}
}
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Ramsey RESET F-Test for powers (2 and 3) of fitted values',1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
reset_test_fitted <- resettest(mylm,power=2:3,type='fitted')
a<-table.element(a,paste('
',RC.texteval('reset_test_fitted'),'
',sep=''))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Ramsey RESET F-Test for powers (2 and 3) of regressors',1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
reset_test_regressors <- resettest(mylm,power=2:3,type='regressor')
a<-table.element(a,paste('
',RC.texteval('reset_test_regressors'),'
',sep=''))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Ramsey RESET F-Test for powers (2 and 3) of principal components',1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
reset_test_principal_components <- resettest(mylm,power=2:3,type='princomp')
a<-table.element(a,paste('
',RC.texteval('reset_test_principal_components'),'
',sep=''))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable8.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Variance Inflation Factors (Multicollinearity)',1,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
vif <- vif(mylm)
a<-table.element(a,paste('
',RC.texteval('vif'),'
',sep=''))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable9.tab')