Free Statistics

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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 computationThu, 11 Dec 2014 08:33:08 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Dec/11/t14182869763hm4f66vkx1phic.htm/, Retrieved Thu, 16 May 2024 15:34:07 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=265640, Retrieved Thu, 16 May 2024 15:34:07 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact115
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Multiple Regression] [] [2013-11-04 07:18:26] [0307e7a6407eb638caabc417e3a6b260]
- RMPD  [Multiple Regression] [] [2014-11-12 13:50:26] [d253a55552bf9917a397def3be261e30]
-   PD      [Multiple Regression] [] [2014-12-11 08:33:08] [940a3d9bc049bdd1effc6e8b1116301d] [Current]
-   PD        [Multiple Regression] [] [2014-12-14 12:22:52] [d253a55552bf9917a397def3be261e30]
-    D          [Multiple Regression] [] [2014-12-14 13:07:12] [d253a55552bf9917a397def3be261e30]
- R PD          [Multiple Regression] [] [2015-01-15 13:11:49] [95c11abf048d3a1e472aeccb09199113]
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Dataseries X:
2011	0	26	50	4	0	21	149	96	18,00	68,00	86,00	12,9
2011	0	51	68	9	0	26	152	75	7,00	55,00	62,00	7,4
2011	0	57	62	4	1	22	139	70	31,00	39,00	70,00	12,2
2011	0	37	54	5	0	22	148	88	39,00	32,00	71,00	12,8
2011	0	67	71	4	1	18	158	114	46,00	62,00	108,00	7,4
2011	0	43	54	4	1	23	128	69	31,00	33,00	64,00	6,7
2011	0	52	65	9	1	12	224	176	67,00	52,00	119,00	12,6
2011	0	52	73	8	0	20	159	114	35,00	62,00	97,00	14,8
2011	0	43	52	11	1	22	105	121	52,00	77,00	129,00	13,3
2011	0	84	84	4	1	21	159	110	77,00	76,00	153,00	11,1
2011	0	67	42	4	1	19	167	158	37,00	41,00	78,00	8,2
2011	0	49	66	6	1	22	165	116	32,00	48,00	80,00	11,4
2011	0	70	65	4	1	15	159	181	36,00	63,00	99,00	6,4
2011	0	52	78	8	1	20	119	77	38,00	30,00	68,00	10,6
2011	0	58	73	4	0	19	176	141	69,00	78,00	147,00	12
2011	0	68	75	4	0	18	54	35	21,00	19,00	40,00	6,3
2011	1	62	72	11	0	15	91	80	26,00	31,00	57,00	11,3
2011	0	43	66	4	1	20	163	152	54,00	66,00	120,00	11,9
2011	0	56	70	4	0	21	124	97	36,00	35,00	71,00	9,3
2011	1	56	61	6	1	21	137	99	42,00	42,00	84,00	9,6
2011	0	74	81	6	0	15	121	84	23,00	45,00	68,00	10
2011	0	65	71	4	1	16	153	68	34,00	21,00	55,00	6,4
2011	0	63	69	8	1	23	148	101	112,00	25,00	137,00	13,8
2011	0	58	71	5	0	21	221	107	35,00	44,00	79,00	10,8
2011	0	57	72	4	1	18	188	88	47,00	69,00	116,00	13,8
2011	0	63	68	9	1	25	149	112	47,00	54,00	101,00	11,7
2011	0	53	70	4	1	9	244	171	37,00	74,00	111,00	10,9
2011	1	57	68	7	1	30	148	137	109,00	80,00	189,00	16,1
2011	1	51	61	10	0	20	92	77	24,00	42,00	66,00	13,4
2011	0	64	67	4	1	23	150	66	20,00	61,00	81,00	9,9
2011	0	53	76	4	0	16	153	93	22,00	41,00	63,00	11,5
2011	0	29	70	7	0	16	94	105	23,00	46,00	69,00	8,3
2011	0	54	60	12	0	19	156	131	32,00	39,00	71,00	11,7
2011	0	51	77	4	1	25	146	89	7,00	63,00	70,00	6,1
2011	0	58	72	7	1	25	132	102	30,00	34,00	64,00	9
2011	0	43	69	5	1	18	161	161	92,00	51,00	143,00	9,7
2011	0	51	71	8	1	23	105	120	43,00	42,00	85,00	10,8
2011	0	53	62	5	1	21	97	127	55,00	31,00	86,00	10,3
2011	0	54	70	4	0	10	151	77	16,00	39,00	55,00	10,4
2011	1	56	64	9	1	14	131	108	49,00	20,00	69,00	12,7
2011	0	61	58	7	1	22	166	85	71,00	49,00	120,00	9,3
2011	0	47	76	4	0	26	157	168	43,00	53,00	96,00	11,8
2011	0	39	52	4	1	23	111	48	29,00	31,00	60,00	5,9
2011	0	48	59	4	1	23	145	152	56,00	39,00	95,00	11,4
2011	0	50	68	4	1	24	162	75	46,00	54,00	100,00	13
2011	0	35	76	4	1	24	163	107	19,00	49,00	68,00	10,8
2011	1	30	65	7	1	18	59	62	23,00	34,00	57,00	12,3
2011	0	68	67	4	0	23	187	121	59,00	46,00	105,00	11,3
2011	0	49	59	7	1	15	109	124	30,00	55,00	85,00	11,8
2011	1	61	69	4	1	19	90	72	61,00	42,00	103,00	7,9
2011	0	67	76	4	0	16	105	40	7,00	50,00	57,00	12,7
2011	1	47	63	4	1	25	83	58	38,00	13,00	51,00	12,3
2011	1	56	75	4	1	23	116	97	32,00	37,00	69,00	11,6
2011	1	50	63	8	1	17	42	88	16,00	25,00	41,00	6,7
2011	0	43	60	4	1	19	148	126	19,00	30,00	49,00	10,9
2011	1	67	73	4	1	21	155	104	22,00	28,00	50,00	12,1
2011	0	62	63	4	1	18	125	148	48,00	45,00	93,00	13,3
2011	0	57	70	4	1	27	116	146	23,00	35,00	58,00	10,1
2011	1	41	75	7	0	21	128	80	26,00	28,00	54,00	5,7
2011	0	54	66	12	1	13	138	97	33,00	41,00	74,00	14,3
2011	1	45	63	4	0	8	49	25	9,00	6,00	15,00	8
2011	1	48	63	4	1	29	96	99	24,00	45,00	69,00	13,3
2011	0	61	64	4	1	28	164	118	34,00	73,00	107,00	9,3
2011	0	56	70	5	0	23	162	58	48,00	17,00	65,00	12,5
2011	0	41	75	15	0	21	99	63	18,00	40,00	58,00	7,6
2011	0	43	61	5	1	19	202	139	43,00	64,00	107,00	15,9
2011	0	53	60	10	0	19	186	50	33,00	37,00	70,00	9,2
2011	1	44	62	9	1	20	66	60	28,00	25,00	53,00	9,1
2011	0	66	73	8	0	18	183	152	71,00	65,00	136,00	11,1
2011	0	58	61	4	1	19	214	142	26,00	100,00	126,00	13
2011	0	46	66	5	1	17	188	94	67,00	28,00	95,00	14,5
2011	1	37	64	4	0	19	104	66	34,00	35,00	69,00	12,2
2011	0	51	59	9	0	25	177	127	80,00	56,00	136,00	12,3
2011	0	51	64	4	0	19	126	67	29,00	29,00	58,00	11,4
2011	1	56	60	10	0	22	76	90	16,00	43,00	59,00	8,8
2011	1	66	56	4	1	23	99	75	59,00	59,00	118,00	14,6
2011	0	45	66	7	1	26	157	96	58,00	52,00	110,00	7,3
2011	0	37	78	4	0	14	139	128	32,00	50,00	82,00	12,6
2011	0	59	53	6	1	28	78	41	47,00	3,00	50,00	NA
2011	0	42	67	7	0	16	162	146	43,00	59,00	102,00	13
2011	1	38	59	5	1	24	108	69	38,00	27,00	65,00	12,6
2011	0	66	66	4	0	20	159	186	29,00	61,00	90,00	13,2
2011	1	34	68	4	0	12	74	81	36,00	28,00	64,00	9,9
2011	0	53	71	4	1	24	110	85	32,00	51,00	83,00	7,7
2011	1	49	66	4	0	22	96	54	35,00	35,00	70,00	10,5
2011	1	55	73	4	0	12	116	46	21,00	29,00	50,00	13,4
2011	1	49	72	4	0	22	87	106	29,00	48,00	77,00	10,9
2011	1	59	71	6	1	20	97	34	12,00	25,00	37,00	4,3
2011	1	40	59	10	0	10	127	60	37,00	44,00	81,00	10,3
2011	1	58	64	7	1	23	106	95	37,00	64,00	101,00	11,8
2011	1	60	66	4	1	17	80	57	47,00	32,00	79,00	11,2
2011	1	63	78	4	0	22	74	62	51,00	20,00	71,00	11,4
2011	1	56	68	7	0	24	91	36	32,00	28,00	60,00	8,6
2011	1	54	73	4	0	18	133	56	21,00	34,00	55,00	13,2
2011	1	52	62	8	1	21	74	54	13,00	31,00	44,00	12,6
2011	1	34	65	11	1	20	114	64	14,00	26,00	40,00	5,6
2011	1	69	68	6	1	20	140	76	-2,00	58,00	56,00	9,9
2011	1	32	65	14	0	22	95	98	20,00	23,00	43,00	8,8
2011	1	48	60	5	1	19	98	88	24,00	21,00	45,00	7,7
2011	1	67	71	4	0	20	121	35	11,00	21,00	32,00	9
2011	1	58	65	8	1	26	126	102	23,00	33,00	56,00	7,3
2011	1	57	68	9	1	23	98	61	24,00	16,00	40,00	11,4
2011	1	42	64	4	1	24	95	80	14,00	20,00	34,00	13,6
2011	1	64	74	4	1	21	110	49	52,00	37,00	89,00	7,9
2011	1	58	69	5	1	21	70	78	15,00	35,00	50,00	10,7
2011	1	66	76	4	0	19	102	90	23,00	33,00	56,00	10,3
2011	1	26	68	5	1	8	86	45	19,00	27,00	46,00	8,3
2011	1	61	72	4	1	17	130	55	35,00	41,00	76,00	9,6
2011	1	52	67	4	1	20	96	96	24,00	40,00	64,00	14,2
2011	1	51	63	7	0	11	102	43	39,00	35,00	74,00	8,5
2011	1	55	59	10	0	8	100	52	29,00	28,00	57,00	13,5
2011	1	50	73	4	0	15	94	60	13,00	32,00	45,00	4,9
2011	1	60	66	5	0	18	52	54	8,00	22,00	30,00	6,4
2011	1	56	62	4	0	18	98	51	18,00	44,00	62,00	9,6
2011	1	63	69	4	0	19	118	51	24,00	27,00	51,00	11,6
2011	1	61	66	4	1	19	99	38	19,00	17,00	36,00	11,1
2012	0	52	51	6	1	23	48	41	22,57	11,54	34,11	4,35
2012	0	16	56	4	1	22	50	146	16,41	44,76	61,17	12,7
2012	0	46	67	8	1	21	150	182	33,38	36,69	70,08	18,1
2012	0	56	69	5	1	25	154	192	31,60	37,45	69,06	17,85
2012	1	52	57	4	0	30	109	263	36,97	108,06	145,02	16,6
2012	1	55	56	17	1	17	68	35	13,61	9,81	23,42	12,6
2012	0	50	55	4	1	27	194	439	51,62	68,21	119,83	17,1
2012	0	59	63	4	0	23	158	214	75,26	72,13	147,39	19,1
2012	0	60	67	8	1	23	159	341	72,00	143,32	215,32	16,1
2012	0	52	65	4	0	18	67	58	14,96	8,58	23,54	13,35
2012	0	44	47	7	0	18	147	292	28,57	54,99	83,56	18,4
2012	0	67	76	4	1	23	39	85	12,62	17,24	29,85	14,7
2012	0	52	64	4	1	19	100	200	40,04	37,07	77,11	10,6
2012	0	55	68	5	1	15	111	158	18,85	26,95	45,80	12,6
2012	0	37	64	7	1	20	138	199	23,94	36,60	60,54	16,2
2012	0	54	65	4	1	16	101	297	120,67	57,54	178,21	13,6
2012	1	72	71	4	1	24	131	227	93,31	66,45	159,76	18,9
2012	0	51	63	7	1	25	101	108	35,93	21,15	57,08	14,1
2012	0	48	60	11	1	25	114	86	23,29	19,10	42,39	14,5
2012	0	60	68	7	0	19	165	302	85,23	77,62	162,85	16,15
2012	0	50	72	4	1	19	114	148	40,79	34,70	75,49	14,75
2012	0	63	70	4	1	16	111	178	46,37	47,99	94,35	14,8
2012	0	33	61	4	1	19	75	120	18,23	27,00	45,23	12,45
2012	0	67	61	4	1	19	82	207	35,33	42,78	78,11	12,65
2012	0	46	62	4	1	23	121	157	16,83	29,81	46,64	17,35
2012	0	54	71	4	1	21	32	128	3,59	25,29	28,88	8,6
2012	0	59	71	6	0	22	150	296	28,13	68,96	97,09	18,4
2012	0	61	51	8	1	19	117	323	44,05	71,85	115,89	16,1
2012	1	33	56	23	1	20	71	79	9,85	22,56	32,41	11,6
2012	0	47	70	4	1	20	165	70	37,74	12,73	50,47	17,75
2012	0	69	73	8	1	3	154	146	57,43	60,86	118,28	15,25
2012	0	52	76	6	1	23	126	246	22,94	42,88	65,82	17,65
2012	0	55	59	4	0	14	138	145	25,59	22,19	47,78	15,6
2012	0	55	68	4	0	23	149	196	35,70	50,61	86,30	16,35
2012	0	41	48	7	0	20	145	199	22,08	67,10	89,18	17,65
2012	0	73	52	4	1	15	120	127	40,14	36,21	76,35	13,6
2012	0	51	59	4	0	13	138	91	18,18	20,87	39,05	11,7
2012	0	52	60	4	0	16	109	153	31,19	43,78	74,97	14,35
2012	0	50	59	4	0	7	132	299	11,48	45,41	56,88	14,75
2012	0	51	57	10	1	24	172	228	37,92	33,62	71,54	18,25
2012	0	60	79	6	0	17	169	190	24,23	36,00	60,22	9,9
2012	0	56	60	5	1	24	114	180	36,77	71,80	108,58	16
2012	0	56	60	5	1	24	156	212	36,81	39,28	76,09	18,25
2012	0	29	59	4	0	19	172	269	22,07	42,63	64,70	16,85
2012	1	66	62	4	1	25	68	130	14,94	25,01	39,95	14,6
2012	1	66	59	5	1	20	89	179	1,89	56,12	58,02	13,85
2012	0	73	61	5	1	28	167	243	43,26	79,79	123,05	18,95
2012	0	55	71	5	0	23	113	190	30,77	40,23	71,00	15,6
2012	1	64	57	5	0	27	115	299	29,16	72,60	101,76	14,85
2012	1	40	66	4	0	18	78	121	45,08	34,45	79,53	11,75
2012	1	46	63	6	0	28	118	137	24,86	72,38	97,23	18,45
2012	1	58	69	4	1	21	87	305	4,04	41,61	45,64	15,9
2012	0	43	58	4	0	19	173	157	31,32	61,22	92,53	17,1
2012	0	61	59	4	1	23	2	96	-3,82	23,31	19,49	16,1
2012	1	51	48	9	0	27	162	183	66,34	73,95	140,29	19,9
2012	1	50	66	18	1	22	49	52	61,32	16,26	77,58	10,95
2012	1	52	73	6	0	28	122	238	31,84	65,97	97,81	18,45
2012	1	54	67	5	1	25	96	40	31,40	8,65	40,05	15,1
2012	1	66	61	4	0	21	100	226	39,25	40,86	80,11	15
2012	1	61	68	11	0	22	82	190	19,14	56,56	75,70	11,35
2012	1	80	75	4	1	28	100	214	30,71	48,24	78,95	15,95
2012	1	51	62	10	0	20	115	145	35,63	50,97	86,60	18,1
2012	1	56	69	6	1	29	141	119	42,41	52,69	95,10	14,6
2012	0	56	58	8	1	25	165	222	20,63	28,54	49,18	15,4
2012	0	56	60	8	1	25	165	222	20,63	28,54	49,18	15,4
2012	1	53	74	6	1	20	110	159	24,88	55,46	80,34	17,6
2012	0	47	55	8	1	20	118	165	31,56	54,35	85,91	13,35
2012	0	25	62	4	0	16	158	249	25,70	42,90	68,60	19,1
2012	1	47	63	4	1	20	146	125	28,01	50,96	78,97	15,35
2012	0	46	69	9	0	20	49	122	31,76	20,38	52,13	7,6
2012	1	50	58	9	0	23	90	186	41,03	79,14	120,17	13,4
2012	1	39	58	5	0	18	121	148	29,16	39,41	68,57	13,9
2012	0	51	68	4	1	25	155	274	32,91	60,96	93,87	19,1
2012	1	58	72	4	0	18	104	172	16,76	55,49	72,24	15,25
2012	1	35	62	15	1	19	147	84	13,01	29,98	42,99	12,9
2012	1	58	62	10	0	25	110	168	32,29	55,04	87,33	16,1
2012	1	60	65	9	0	25	108	102	29,70	21,97	51,67	17,35
2012	1	62	69	7	0	25	113	106	34,22	36,77	70,98	13,15
2012	1	63	66	9	0	24	115	2	59,22	1,67	60,88	12,15
2012	1	53	72	6	1	19	61	139	12,93	37,83	50,76	12,6
2012	1	46	62	4	1	26	60	95	23,16	26,91	50,08	10,35
2012	1	67	75	7	1	10	109	130	10,41	56,30	66,70	15,4
2012	1	59	58	4	1	17	68	72	5,15	25,14	30,29	9,6
2012	1	64	66	7	0	13	111	141	31,28	38,65	69,93	18,2
2012	1	38	55	4	0	17	77	113	19,32	32,83	52,15	13,6
2012	1	50	47	15	1	30	73	206	31,70	43,48	75,18	14,85
2012	0	48	72	4	0	25	151	268	30,49	56,74	87,23	14,75
2012	1	48	62	9	0	4	89	175	25,14	43,44	68,58	14,1
2012	1	47	64	4	0	16	78	77	48,48	23,49	71,96	14,9
2012	1	66	64	4	0	21	110	125	34,77	43,78	78,55	16,25
2012	0	47	19	28	1	23	220	255	67,28	53,83	121,11	19,25
2012	1	63	50	4	1	22	65	111	15,25	27,54	42,78	13,6
2012	0	58	68	4	0	17	141	132	22,45	35,79	58,25	13,6
2012	1	44	70	4	0	20	117	211	17,83	39,18	57,02	15,65
2012	0	51	79	5	1	20	122	92	33,32	16,19	49,52	12,75
2012	1	43	69	4	0	22	63	76	46,40	22,62	69,01	14,6
2012	0	55	71	4	1	16	44	171	23,84	39,86	63,70	9,85
2012	1	38	48	12	1	23	52	83	13,77	23,78	37,56	12,65
2012	1	56	66	5	1	16	62	119	23,19	29,37	52,55	11,9
2012	1	45	73	4	0	0	131	266	11,84	77,81	89,65	19,2
2012	1	50	74	6	1	18	101	186	38,22	57,33	95,54	16,6
2012	1	54	66	6	1	25	42	50	11,76	37,20	48,96	11,2
2012	0	57	71	5	1	23	152	117	28,34	27,32	55,66	15,25
2012	0	60	74	4	0	12	107	219	40,85	61,04	101,89	11,9
2012	1	55	78	4	0	18	77	246	12,37	27,17	39,54	13,2
2012	0	56	75	4	0	24	154	279	31,11	69,02	100,13	16,35
2012	0	49	53	10	1	11	103	148	33,36	33,97	67,33	12,4
2012	1	37	60	7	1	18	96	137	34,38	43,84	78,22	15,85
2012	0	43	50	4	0	14	154	130	41,03	21,13	62,16	14,35
2012	0	59	70	4	1	23	175	181	21,31	34,15	55,46	18,15
2012	1	46	69	7	1	24	57	98	19,74	38,84	58,58	11,15
2012	1	51	65	4	0	29	112	226	44,34	51,19	95,53	15,65
2012	0	58	78	4	0	18	143	234	52,21	33,85	86,06	17,75
2012	1	64	78	12	0	15	49	138	6,74	31,38	38,12	7,65
2012	0	53	59	5	1	29	110	85	29,31	13,30	42,61	12,35
2012	0	48	72	8	1	16	131	66	10,78	12,07	22,85	15,6
2012	0	51	70	6	0	19	167	236	26,41	50,89	77,30	19,3
2012	1	47	63	17	0	22	56	106	23,60	24,19	47,80	15,2
2012	0	59	63	4	0	16	137	135	7,18	18,70	25,88	17,1
2012	1	62	71	5	1	23	86	122	60,28	30,41	90,68	15,6
2012	0	62	74	4	1	23	121	218	12,84	81,08	93,92	18,4
2012	0	51	67	5	0	19	149	199	20,38	41,95	62,33	19,05
2012	0	64	66	5	0	4	168	112	52,32	21,51	73,83	18,55
2012	0	52	62	6	0	20	140	278	28,28	85,42	113,70	19,1
2012	1	67	80	4	1	24	88	94	25,31	27,02	52,34	13,1
2012	0	50	73	4	1	20	168	113	39,11	24,60	63,71	12,85
2012	0	54	67	4	1	4	94	84	9,04	22,07	31,11	9,5
2012	0	58	61	6	1	24	51	86	18,78	19,20	37,99	4,5
2012	1	56	73	8	0	22	48	62	13,13	13,57	26,70	11,85
2012	0	63	74	10	1	16	145	222	60,17	44,97	105,14	13,6
2012	0	31	32	4	1	3	66	167	19,14	45,21	64,35	11,7
2012	1	65	69	5	1	15	85	82	33,90	28,04	61,93	12,4
2012	0	71	69	4	0	24	109	207	13,96	50,71	64,67	13,35
2012	1	50	84	4	0	17	63	184	16,59	41,32	57,91	11,4
2012	1	57	64	4	1	20	102	83	45,10	30,79	75,89	14,9
2012	1	47	58	16	0	27	162	183	66,34	73,95	140,29	19,9
2012	0	54	60	4	1	23	128	85	24,48	23,94	48,42	17,75
2012	1	47	59	7	1	26	86	89	48,28	19,39	67,67	11,2
2012	1	57	78	4	1	23	114	225	29,15	51,05	80,19	14,6
2012	0	43	57	4	0	17	164	237	-2,45	73,12	70,67	17,6
2012	0	41	60	14	1	20	119	102	51,40	24,31	75,71	14,05
2012	0	63	68	5	0	22	126	221	1,59	61,05	62,64	16,1
2012	0	63	68	5	1	19	132	128	23,59	22,58	46,17	13,35
2012	0	56	73	5	1	24	142	91	39,81	13,62	53,43	11,85
2012	0	51	69	5	0	19	83	198	19,58	54,49	74,07	11,95
2012	1	50	67	7	1	23	94	204	18,74	50,84	69,58	14,75
2012	1	22	60	19	0	15	81	158	16,43	61,90	78,33	15,15
2012	0	41	65	16	1	27	166	138	19,64	36,20	55,84	13,2
2012	1	59	66	4	0	26	110	226	40,13	59,43	99,56	16,85
2012	1	56	74	4	1	22	64	44	27,03	24,41	51,44	7,85
2012	0	66	81	7	0	22	93	196	25,36	26,30	51,67	7,7
2012	1	53	72	9	0	18	104	83	48,69	53,70	102,39	12,6
2012	1	42	55	5	1	15	105	79	39,40	38,84	78,23	7,85
2012	1	52	49	14	1	22	49	52	61,32	16,26	77,58	10,95
2012	1	54	74	4	0	27	88	105	19,38	36,08	55,46	12,35
2012	1	44	53	16	1	10	95	116	67,27	30,64	97,91	9,95
2012	1	62	64	10	1	20	102	83	45,10	30,79	75,89	14,9
2012	1	53	65	5	0	17	99	196	30,18	42,42	72,60	16,65
2012	1	50	57	6	1	23	63	153	7,92	39,08	46,99	13,4
2012	1	36	51	4	0	19	76	157	19,49	25,40	44,89	13,95
2012	1	76	80	4	0	13	109	75	51,93	31,01	82,94	15,7
2012	1	66	67	4	1	27	117	106	22,14	38,20	60,34	16,85
2012	1	62	70	5	1	23	57	58	17,24	30,66	47,90	10,95
2012	1	59	74	4	0	16	120	75	32,63	16,91	49,54	15,35
2012	1	47	75	4	1	25	73	74	34,12	22,13	56,25	12,2
2012	1	55	70	5	0	2	91	185	21,92	55,40	77,33	15,1
2012	1	58	69	4	0	26	108	265	29,60	61,71	91,31	17,75
2012	1	60	65	4	1	20	105	131	24,95	50,95	75,90	15,2
2012	0	44	55	5	0	23	117	139	37,68	30,27	67,95	14,6
2012	1	57	71	8	0	22	119	196	25,82	48,58	74,40	16,65
2012	1	45	65	15	1	24	31	78	13,04	16,22	29,26	8,1




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time12 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 12 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265640&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]12 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265640&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265640&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 Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time12 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net







Multiple Linear Regression - Estimated Regression Equation
TOT[t] = -7652.56 + 3.80841Year[t] + 1.35686Study[t] -0.00836177AMS.I[t] -0.024753AMS.E[t] -0.0653155AMS.A[t] -0.482775Gender[t] + 0.0326465NumeracyTOT[t] + 0.0336878LFM[t] + 0.00944542B[t] + 1.4776PRH[t] + 1.47939CH[t] -1.46835H[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
TOT[t] =  -7652.56 +  3.80841Year[t] +  1.35686Study[t] -0.00836177AMS.I[t] -0.024753AMS.E[t] -0.0653155AMS.A[t] -0.482775Gender[t] +  0.0326465NumeracyTOT[t] +  0.0336878LFM[t] +  0.00944542B[t] +  1.4776PRH[t] +  1.47939CH[t] -1.46835H[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265640&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]TOT[t] =  -7652.56 +  3.80841Year[t] +  1.35686Study[t] -0.00836177AMS.I[t] -0.024753AMS.E[t] -0.0653155AMS.A[t] -0.482775Gender[t] +  0.0326465NumeracyTOT[t] +  0.0336878LFM[t] +  0.00944542B[t] +  1.4776PRH[t] +  1.47939CH[t] -1.46835H[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265640&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265640&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
TOT[t] = -7652.56 + 3.80841Year[t] + 1.35686Study[t] -0.00836177AMS.I[t] -0.024753AMS.E[t] -0.0653155AMS.A[t] -0.482775Gender[t] + 0.0326465NumeracyTOT[t] + 0.0336878LFM[t] + 0.00944542B[t] + 1.4776PRH[t] + 1.47939CH[t] -1.46835H[t] + e[t]







Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)-7652.56766.795-9.983.36841e-201.6842e-20
Year3.808410.3811879.9913.10547e-201.55273e-20
Study1.356860.3355864.0436.86325e-053.43163e-05
AMS.I-0.008361770.0148319-0.56380.5733740.286687
AMS.E-0.0247530.0189846-1.3040.1933830.0966914
AMS.A-0.06531550.043544-1.50.1347730.0673866
Gender-0.4827750.290754-1.660.09797750.0489887
NumeracyTOT0.03264650.02752171.1860.2365710.118286
LFM0.03368780.004811017.0021.95837e-119.79187e-12
B0.009445420.003267122.8910.004148210.00207411
PRH1.477636.56320.040410.9677940.483897
CH1.4793936.56290.040460.9677550.483877
H-1.4683536.5639-0.040160.9679960.483998

\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) & -7652.56 & 766.795 & -9.98 & 3.36841e-20 & 1.6842e-20 \tabularnewline
Year & 3.80841 & 0.381187 & 9.991 & 3.10547e-20 & 1.55273e-20 \tabularnewline
Study & 1.35686 & 0.335586 & 4.043 & 6.86325e-05 & 3.43163e-05 \tabularnewline
AMS.I & -0.00836177 & 0.0148319 & -0.5638 & 0.573374 & 0.286687 \tabularnewline
AMS.E & -0.024753 & 0.0189846 & -1.304 & 0.193383 & 0.0966914 \tabularnewline
AMS.A & -0.0653155 & 0.043544 & -1.5 & 0.134773 & 0.0673866 \tabularnewline
Gender & -0.482775 & 0.290754 & -1.66 & 0.0979775 & 0.0489887 \tabularnewline
NumeracyTOT & 0.0326465 & 0.0275217 & 1.186 & 0.236571 & 0.118286 \tabularnewline
LFM & 0.0336878 & 0.00481101 & 7.002 & 1.95837e-11 & 9.79187e-12 \tabularnewline
B & 0.00944542 & 0.00326712 & 2.891 & 0.00414821 & 0.00207411 \tabularnewline
PRH & 1.4776 & 36.5632 & 0.04041 & 0.967794 & 0.483897 \tabularnewline
CH & 1.47939 & 36.5629 & 0.04046 & 0.967755 & 0.483877 \tabularnewline
H & -1.46835 & 36.5639 & -0.04016 & 0.967996 & 0.483998 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265640&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]-7652.56[/C][C]766.795[/C][C]-9.98[/C][C]3.36841e-20[/C][C]1.6842e-20[/C][/ROW]
[ROW][C]Year[/C][C]3.80841[/C][C]0.381187[/C][C]9.991[/C][C]3.10547e-20[/C][C]1.55273e-20[/C][/ROW]
[ROW][C]Study[/C][C]1.35686[/C][C]0.335586[/C][C]4.043[/C][C]6.86325e-05[/C][C]3.43163e-05[/C][/ROW]
[ROW][C]AMS.I[/C][C]-0.00836177[/C][C]0.0148319[/C][C]-0.5638[/C][C]0.573374[/C][C]0.286687[/C][/ROW]
[ROW][C]AMS.E[/C][C]-0.024753[/C][C]0.0189846[/C][C]-1.304[/C][C]0.193383[/C][C]0.0966914[/C][/ROW]
[ROW][C]AMS.A[/C][C]-0.0653155[/C][C]0.043544[/C][C]-1.5[/C][C]0.134773[/C][C]0.0673866[/C][/ROW]
[ROW][C]Gender[/C][C]-0.482775[/C][C]0.290754[/C][C]-1.66[/C][C]0.0979775[/C][C]0.0489887[/C][/ROW]
[ROW][C]NumeracyTOT[/C][C]0.0326465[/C][C]0.0275217[/C][C]1.186[/C][C]0.236571[/C][C]0.118286[/C][/ROW]
[ROW][C]LFM[/C][C]0.0336878[/C][C]0.00481101[/C][C]7.002[/C][C]1.95837e-11[/C][C]9.79187e-12[/C][/ROW]
[ROW][C]B[/C][C]0.00944542[/C][C]0.00326712[/C][C]2.891[/C][C]0.00414821[/C][C]0.00207411[/C][/ROW]
[ROW][C]PRH[/C][C]1.4776[/C][C]36.5632[/C][C]0.04041[/C][C]0.967794[/C][C]0.483897[/C][/ROW]
[ROW][C]CH[/C][C]1.47939[/C][C]36.5629[/C][C]0.04046[/C][C]0.967755[/C][C]0.483877[/C][/ROW]
[ROW][C]H[/C][C]-1.46835[/C][C]36.5639[/C][C]-0.04016[/C][C]0.967996[/C][C]0.483998[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265640&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265640&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)-7652.56766.795-9.983.36841e-201.6842e-20
Year3.808410.3811879.9913.10547e-201.55273e-20
Study1.356860.3355864.0436.86325e-053.43163e-05
AMS.I-0.008361770.0148319-0.56380.5733740.286687
AMS.E-0.0247530.0189846-1.3040.1933830.0966914
AMS.A-0.06531550.043544-1.50.1347730.0673866
Gender-0.4827750.290754-1.660.09797750.0489887
NumeracyTOT0.03264650.02752171.1860.2365710.118286
LFM0.03368780.004811017.0021.95837e-119.79187e-12
B0.009445420.003267122.8910.004148210.00207411
PRH1.477636.56320.040410.9677940.483897
CH1.4793936.56290.040460.9677550.483877
H-1.4683536.5639-0.040160.9679960.483998







Multiple Linear Regression - Regression Statistics
Multiple R0.754283
R-squared0.568943
Adjusted R-squared0.549995
F-TEST (value)30.0272
F-TEST (DF numerator)12
F-TEST (DF denominator)273
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.29507
Sum Squared Residuals1437.98

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.754283 \tabularnewline
R-squared & 0.568943 \tabularnewline
Adjusted R-squared & 0.549995 \tabularnewline
F-TEST (value) & 30.0272 \tabularnewline
F-TEST (DF numerator) & 12 \tabularnewline
F-TEST (DF denominator) & 273 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 2.29507 \tabularnewline
Sum Squared Residuals & 1437.98 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265640&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.754283[/C][/ROW]
[ROW][C]R-squared[/C][C]0.568943[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.549995[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]30.0272[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]12[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]273[/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]2.29507[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]1437.98[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265640&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265640&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 R0.754283
R-squared0.568943
Adjusted R-squared0.549995
F-TEST (value)30.0272
F-TEST (DF numerator)12
F-TEST (DF denominator)273
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.29507
Sum Squared Residuals1437.98







Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
112.911.96780.932222
27.410.8072-3.40718
312.210.17912.02093
412.811.43181.36824
57.411.1906-3.79056
66.710.0805-3.38055
712.613.835-1.23504
814.811.48523.31485
913.310.03683.26324
1011.111.262-0.162007
118.212.3447-4.14466
1211.411.4353-0.0353275
136.411.8011-5.40106
1410.68.856061.74394
151212.9827-0.982709
166.36.61004-0.310041
1711.39.386461.91354
1811.912.2259-0.325889
199.310.1914-0.891366
209.611.7473-2.14726
21109.208280.791716
226.49.97529-3.57529
2313.810.91822.88177
2410.813.5369-2.73686
2513.812.1011.69897
2611.710.79910.900939
2710.914.5233-3.62329
2816.113.56342.53661
2913.410.08763.31244
309.910.5033-0.603295
3111.510.78050.719479
328.39.124-0.824002
3311.711.27410.425903
346.110.414-4.314
3599.82715-0.827149
369.712.2248-2.52479
3710.89.248941.55106
3810.39.371890.928113
3910.410.4287-0.028673
4012.710.95331.74671
419.311.5806-2.28063
4211.812.3272-0.527203
435.99.35186-3.45186
4411.411.5693-0.169304
451311.28091.7191
4610.811.2391-0.439106
4712.38.461063.83894
4811.312.914-1.61396
4911.89.562582.23742
507.99.91029-2.01029
5112.78.506354.19365
5212.39.470592.82941
5311.610.72250.87747
546.77.75408-1.05408
5510.910.86940.0306141
5612.111.80280.297232
5713.310.47072.82935
5810.19.969090.130906
595.711.1583-5.45826
6014.39.550744.74926
6187.612280.387721
6213.310.64182.65825
639.311.9908-2.69075
6412.511.01541.48456
657.68.1998-0.599803
6615.913.31882.58118
679.211.6458-2.44582
689.18.516750.583253
6911.112.8366-1.7366
701313.9314-0.931429
7114.512.03272.46733
7212.210.80521.39476
7312.313.0174-0.71745
7411.49.969371.43063
758.89.65657-0.856571
7614.610.82163.77843
777.311.3605-4.06047
7812.610.85041.74959
79NANA0.903734
801311.04761.95243
8112.611.81610.783888
8213.212.87510.324938
839.911.5615-1.66152
847.77.579750.120254
8510.57.332193.16781
8613.413.00720.392802
8710.915.6151-4.71512
884.35.0635-0.763504
8910.39.270781.02922
9011.89.809051.99095
9111.29.082562.11744
9211.412.4975-1.09754
938.66.558792.04121
9413.29.288043.91196
9512.616.9317-4.33172
965.66.78583-1.18583
979.911.1041-1.20406
988.811.1227-2.32271
997.79.02617-1.32617
100912.7466-3.74664
1017.35.208522.09148
10211.47.722183.67782
10313.615.8447-2.24472
1047.96.015171.88483
10510.710.7011-0.00112466
10610.310.8591-0.559093
1078.39.40596-1.10596
1089.65.531934.06807
10914.215.7175-1.51748
1108.54.636933.86307
11113.518.3221-4.82211
1124.96.71613-1.81613
1136.47.07069-0.670688
1149.68.613120.986877
11511.69.801771.79823
11611.117.2329-6.13285
1174.353.777020.572984
11812.79.672093.02791
11918.115.73662.36338
12017.8519.1487-1.29867
12116.615.29161.30845
12212.615.7341-3.13411
12317.115.23711.86285
12419.121.3749-2.27486
12516.114.0342.066
12613.3512.09421.25583
12718.413.66724.73285
12814.717.9583-3.2583
12910.611.2043-0.604271
13012.611.33691.2631
13116.218.2412-2.04116
13213.611.85471.74526
13318.917.64221.25777
13414.112.37081.72918
13514.516.3484-1.84841
13616.1515.03821.11176
13714.7513.82650.923519
13814.814.53050.269473
13912.4513.0863-0.636317
14012.659.394853.25515
14117.3519.0453-1.69528
1428.67.10961.4904
14318.418.31390.0861235
14416.116.3042-0.204194
14511.68.3063.294
14617.7516.95720.79281
14715.2512.37752.87255
14817.6516.78910.860894
14915.615.33450.265504
15016.3515.03761.31237
15117.6517.8748-0.224824
15213.616.0467-2.44669
15311.711.54360.15643
15414.3515.5453-1.19531
15514.7512.94361.80645
15618.2524.1435-5.89349
1579.98.543021.35698
1581613.76612.23385
15918.2519.0295-0.779467
16016.8515.48881.36121
16114.615.2128-0.612783
16213.8512.05021.7998
16318.9517.85061.09944
16415.618.4487-2.84872
16514.8517.3465-2.49653
16611.759.51142.2386
16718.4517.94190.508086
16815.915.61850.281476
16917.110.19576.90427
17016.114.81571.28433
17119.920.1671-0.267105
17210.959.481591.46841
17318.4516.56491.88506
17415.116.1005-1.00054
1751518.1353-3.13529
17611.3510.57180.778232
17715.9513.3452.60497
17818.119.5643-1.46431
17914.615.217-0.616958
18015.415.9675-0.567452
18115.412.67362.72638
18217.618.5324-0.932362
18313.3511.11682.23324
18419.119.9476-0.847608
18515.3519.0225-3.67248
1867.69.87175-2.27175
18713.415.4986-2.0986
18813.911.51312.3869
18919.119.1399-0.0399423
19015.2517.1975-1.94751
19112.912.46260.437445
19216.113.3072.793
19317.3519.1981-1.84805
19413.1514.8296-1.67959
19512.1512.2956-0.145587
19612.615.171-2.57096
19710.358.872431.47757
19815.418.2981-2.89814
1999.66.30593.2941
20018.218.7373-0.537296
20113.613.1840.416
20214.8516.9615-2.11153
20314.7514.9403-0.190319
20414.112.88171.21825
20514.913.94990.950062
20616.2515.57630.673744
20719.2518.87790.372071
20813.614.6739-1.07387
20913.614.0786-0.478571
21015.6515.7763-0.12629
21112.7511.39371.35631
21214.616.0324-1.43241
2139.859.409610.440395
21412.6513.4474-0.797422
21511.99.469922.43008
21619.217.54411.65594
21716.616.9831-0.383124
21811.210.41030.78967
21915.2517.8356-2.58556
22011.913.2879-1.38788
22113.213.884-0.684021
22216.3516.9664-0.616442
22312.411.05351.34645
22415.8517.0908-1.24077
22514.3512.12332.22666
22618.1519.5285-1.37847
22711.1512.3536-1.20355
22815.6513.65851.99146
22917.7522.0232-4.27317
2307.658.42373-0.773728
23112.359.316273.03373
23215.612.99382.60617
23319.316.43412.86588
23415.212.43482.76515
23517.115.44371.65633
23615.611.96943.63065
23718.415.0733.32698
23819.0515.53773.51234
23918.5516.25182.29815
24019.119.1894-0.0894453
24113.115.2576-2.15762
24212.8514.8772-2.02724
2439.515.7787-6.27872
2444.54.364580.135422
24511.8513.2763-1.42627
24613.614.643-1.04298
24711.712.3251-0.625054
24812.413.5502-1.15017
24913.3515.5366-2.18658
25011.410.64580.754245
25114.912.94441.95562
25219.915.78924.1108
25317.7520.3243-2.5743
25411.212.3334-1.1334
25514.614.03450.565461
25617.616.65750.942532
25714.0513.11580.934201
25816.116.4377-0.33767
25913.3515.3243-1.97428
26011.8513.4717-1.62172
26111.9512.0828-0.13279
26214.7513.55631.19369
26315.1516.7923-1.64225
26413.212.99860.201401
26516.8521.0857-4.23566
2667.8513.3121-5.46212
2677.79.52565-1.82565
26812.619.1295-6.5295
2697.858.78245-0.932446
27010.9512.7911-1.84111
27112.3516.0959-3.74594
2729.958.762051.18795
27314.913.68051.21946
27416.6516.7043-0.0542749
27513.414.0698-0.669771
27613.9512.3211.62901
27715.713.66662.03339
27816.8517.8766-1.02664
27910.9510.09580.854178
28015.3516.0111-0.661109
28112.211.57910.620873
28215.114.16140.938601
28317.7517.23640.513566
28415.215.19560.00438837
28514.613.86730.732725
28616.6519.2868-2.63675
2878.1NANA

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 12.9 & 11.9678 & 0.932222 \tabularnewline
2 & 7.4 & 10.8072 & -3.40718 \tabularnewline
3 & 12.2 & 10.1791 & 2.02093 \tabularnewline
4 & 12.8 & 11.4318 & 1.36824 \tabularnewline
5 & 7.4 & 11.1906 & -3.79056 \tabularnewline
6 & 6.7 & 10.0805 & -3.38055 \tabularnewline
7 & 12.6 & 13.835 & -1.23504 \tabularnewline
8 & 14.8 & 11.4852 & 3.31485 \tabularnewline
9 & 13.3 & 10.0368 & 3.26324 \tabularnewline
10 & 11.1 & 11.262 & -0.162007 \tabularnewline
11 & 8.2 & 12.3447 & -4.14466 \tabularnewline
12 & 11.4 & 11.4353 & -0.0353275 \tabularnewline
13 & 6.4 & 11.8011 & -5.40106 \tabularnewline
14 & 10.6 & 8.85606 & 1.74394 \tabularnewline
15 & 12 & 12.9827 & -0.982709 \tabularnewline
16 & 6.3 & 6.61004 & -0.310041 \tabularnewline
17 & 11.3 & 9.38646 & 1.91354 \tabularnewline
18 & 11.9 & 12.2259 & -0.325889 \tabularnewline
19 & 9.3 & 10.1914 & -0.891366 \tabularnewline
20 & 9.6 & 11.7473 & -2.14726 \tabularnewline
21 & 10 & 9.20828 & 0.791716 \tabularnewline
22 & 6.4 & 9.97529 & -3.57529 \tabularnewline
23 & 13.8 & 10.9182 & 2.88177 \tabularnewline
24 & 10.8 & 13.5369 & -2.73686 \tabularnewline
25 & 13.8 & 12.101 & 1.69897 \tabularnewline
26 & 11.7 & 10.7991 & 0.900939 \tabularnewline
27 & 10.9 & 14.5233 & -3.62329 \tabularnewline
28 & 16.1 & 13.5634 & 2.53661 \tabularnewline
29 & 13.4 & 10.0876 & 3.31244 \tabularnewline
30 & 9.9 & 10.5033 & -0.603295 \tabularnewline
31 & 11.5 & 10.7805 & 0.719479 \tabularnewline
32 & 8.3 & 9.124 & -0.824002 \tabularnewline
33 & 11.7 & 11.2741 & 0.425903 \tabularnewline
34 & 6.1 & 10.414 & -4.314 \tabularnewline
35 & 9 & 9.82715 & -0.827149 \tabularnewline
36 & 9.7 & 12.2248 & -2.52479 \tabularnewline
37 & 10.8 & 9.24894 & 1.55106 \tabularnewline
38 & 10.3 & 9.37189 & 0.928113 \tabularnewline
39 & 10.4 & 10.4287 & -0.028673 \tabularnewline
40 & 12.7 & 10.9533 & 1.74671 \tabularnewline
41 & 9.3 & 11.5806 & -2.28063 \tabularnewline
42 & 11.8 & 12.3272 & -0.527203 \tabularnewline
43 & 5.9 & 9.35186 & -3.45186 \tabularnewline
44 & 11.4 & 11.5693 & -0.169304 \tabularnewline
45 & 13 & 11.2809 & 1.7191 \tabularnewline
46 & 10.8 & 11.2391 & -0.439106 \tabularnewline
47 & 12.3 & 8.46106 & 3.83894 \tabularnewline
48 & 11.3 & 12.914 & -1.61396 \tabularnewline
49 & 11.8 & 9.56258 & 2.23742 \tabularnewline
50 & 7.9 & 9.91029 & -2.01029 \tabularnewline
51 & 12.7 & 8.50635 & 4.19365 \tabularnewline
52 & 12.3 & 9.47059 & 2.82941 \tabularnewline
53 & 11.6 & 10.7225 & 0.87747 \tabularnewline
54 & 6.7 & 7.75408 & -1.05408 \tabularnewline
55 & 10.9 & 10.8694 & 0.0306141 \tabularnewline
56 & 12.1 & 11.8028 & 0.297232 \tabularnewline
57 & 13.3 & 10.4707 & 2.82935 \tabularnewline
58 & 10.1 & 9.96909 & 0.130906 \tabularnewline
59 & 5.7 & 11.1583 & -5.45826 \tabularnewline
60 & 14.3 & 9.55074 & 4.74926 \tabularnewline
61 & 8 & 7.61228 & 0.387721 \tabularnewline
62 & 13.3 & 10.6418 & 2.65825 \tabularnewline
63 & 9.3 & 11.9908 & -2.69075 \tabularnewline
64 & 12.5 & 11.0154 & 1.48456 \tabularnewline
65 & 7.6 & 8.1998 & -0.599803 \tabularnewline
66 & 15.9 & 13.3188 & 2.58118 \tabularnewline
67 & 9.2 & 11.6458 & -2.44582 \tabularnewline
68 & 9.1 & 8.51675 & 0.583253 \tabularnewline
69 & 11.1 & 12.8366 & -1.7366 \tabularnewline
70 & 13 & 13.9314 & -0.931429 \tabularnewline
71 & 14.5 & 12.0327 & 2.46733 \tabularnewline
72 & 12.2 & 10.8052 & 1.39476 \tabularnewline
73 & 12.3 & 13.0174 & -0.71745 \tabularnewline
74 & 11.4 & 9.96937 & 1.43063 \tabularnewline
75 & 8.8 & 9.65657 & -0.856571 \tabularnewline
76 & 14.6 & 10.8216 & 3.77843 \tabularnewline
77 & 7.3 & 11.3605 & -4.06047 \tabularnewline
78 & 12.6 & 10.8504 & 1.74959 \tabularnewline
79 & NA & NA & 0.903734 \tabularnewline
80 & 13 & 11.0476 & 1.95243 \tabularnewline
81 & 12.6 & 11.8161 & 0.783888 \tabularnewline
82 & 13.2 & 12.8751 & 0.324938 \tabularnewline
83 & 9.9 & 11.5615 & -1.66152 \tabularnewline
84 & 7.7 & 7.57975 & 0.120254 \tabularnewline
85 & 10.5 & 7.33219 & 3.16781 \tabularnewline
86 & 13.4 & 13.0072 & 0.392802 \tabularnewline
87 & 10.9 & 15.6151 & -4.71512 \tabularnewline
88 & 4.3 & 5.0635 & -0.763504 \tabularnewline
89 & 10.3 & 9.27078 & 1.02922 \tabularnewline
90 & 11.8 & 9.80905 & 1.99095 \tabularnewline
91 & 11.2 & 9.08256 & 2.11744 \tabularnewline
92 & 11.4 & 12.4975 & -1.09754 \tabularnewline
93 & 8.6 & 6.55879 & 2.04121 \tabularnewline
94 & 13.2 & 9.28804 & 3.91196 \tabularnewline
95 & 12.6 & 16.9317 & -4.33172 \tabularnewline
96 & 5.6 & 6.78583 & -1.18583 \tabularnewline
97 & 9.9 & 11.1041 & -1.20406 \tabularnewline
98 & 8.8 & 11.1227 & -2.32271 \tabularnewline
99 & 7.7 & 9.02617 & -1.32617 \tabularnewline
100 & 9 & 12.7466 & -3.74664 \tabularnewline
101 & 7.3 & 5.20852 & 2.09148 \tabularnewline
102 & 11.4 & 7.72218 & 3.67782 \tabularnewline
103 & 13.6 & 15.8447 & -2.24472 \tabularnewline
104 & 7.9 & 6.01517 & 1.88483 \tabularnewline
105 & 10.7 & 10.7011 & -0.00112466 \tabularnewline
106 & 10.3 & 10.8591 & -0.559093 \tabularnewline
107 & 8.3 & 9.40596 & -1.10596 \tabularnewline
108 & 9.6 & 5.53193 & 4.06807 \tabularnewline
109 & 14.2 & 15.7175 & -1.51748 \tabularnewline
110 & 8.5 & 4.63693 & 3.86307 \tabularnewline
111 & 13.5 & 18.3221 & -4.82211 \tabularnewline
112 & 4.9 & 6.71613 & -1.81613 \tabularnewline
113 & 6.4 & 7.07069 & -0.670688 \tabularnewline
114 & 9.6 & 8.61312 & 0.986877 \tabularnewline
115 & 11.6 & 9.80177 & 1.79823 \tabularnewline
116 & 11.1 & 17.2329 & -6.13285 \tabularnewline
117 & 4.35 & 3.77702 & 0.572984 \tabularnewline
118 & 12.7 & 9.67209 & 3.02791 \tabularnewline
119 & 18.1 & 15.7366 & 2.36338 \tabularnewline
120 & 17.85 & 19.1487 & -1.29867 \tabularnewline
121 & 16.6 & 15.2916 & 1.30845 \tabularnewline
122 & 12.6 & 15.7341 & -3.13411 \tabularnewline
123 & 17.1 & 15.2371 & 1.86285 \tabularnewline
124 & 19.1 & 21.3749 & -2.27486 \tabularnewline
125 & 16.1 & 14.034 & 2.066 \tabularnewline
126 & 13.35 & 12.0942 & 1.25583 \tabularnewline
127 & 18.4 & 13.6672 & 4.73285 \tabularnewline
128 & 14.7 & 17.9583 & -3.2583 \tabularnewline
129 & 10.6 & 11.2043 & -0.604271 \tabularnewline
130 & 12.6 & 11.3369 & 1.2631 \tabularnewline
131 & 16.2 & 18.2412 & -2.04116 \tabularnewline
132 & 13.6 & 11.8547 & 1.74526 \tabularnewline
133 & 18.9 & 17.6422 & 1.25777 \tabularnewline
134 & 14.1 & 12.3708 & 1.72918 \tabularnewline
135 & 14.5 & 16.3484 & -1.84841 \tabularnewline
136 & 16.15 & 15.0382 & 1.11176 \tabularnewline
137 & 14.75 & 13.8265 & 0.923519 \tabularnewline
138 & 14.8 & 14.5305 & 0.269473 \tabularnewline
139 & 12.45 & 13.0863 & -0.636317 \tabularnewline
140 & 12.65 & 9.39485 & 3.25515 \tabularnewline
141 & 17.35 & 19.0453 & -1.69528 \tabularnewline
142 & 8.6 & 7.1096 & 1.4904 \tabularnewline
143 & 18.4 & 18.3139 & 0.0861235 \tabularnewline
144 & 16.1 & 16.3042 & -0.204194 \tabularnewline
145 & 11.6 & 8.306 & 3.294 \tabularnewline
146 & 17.75 & 16.9572 & 0.79281 \tabularnewline
147 & 15.25 & 12.3775 & 2.87255 \tabularnewline
148 & 17.65 & 16.7891 & 0.860894 \tabularnewline
149 & 15.6 & 15.3345 & 0.265504 \tabularnewline
150 & 16.35 & 15.0376 & 1.31237 \tabularnewline
151 & 17.65 & 17.8748 & -0.224824 \tabularnewline
152 & 13.6 & 16.0467 & -2.44669 \tabularnewline
153 & 11.7 & 11.5436 & 0.15643 \tabularnewline
154 & 14.35 & 15.5453 & -1.19531 \tabularnewline
155 & 14.75 & 12.9436 & 1.80645 \tabularnewline
156 & 18.25 & 24.1435 & -5.89349 \tabularnewline
157 & 9.9 & 8.54302 & 1.35698 \tabularnewline
158 & 16 & 13.7661 & 2.23385 \tabularnewline
159 & 18.25 & 19.0295 & -0.779467 \tabularnewline
160 & 16.85 & 15.4888 & 1.36121 \tabularnewline
161 & 14.6 & 15.2128 & -0.612783 \tabularnewline
162 & 13.85 & 12.0502 & 1.7998 \tabularnewline
163 & 18.95 & 17.8506 & 1.09944 \tabularnewline
164 & 15.6 & 18.4487 & -2.84872 \tabularnewline
165 & 14.85 & 17.3465 & -2.49653 \tabularnewline
166 & 11.75 & 9.5114 & 2.2386 \tabularnewline
167 & 18.45 & 17.9419 & 0.508086 \tabularnewline
168 & 15.9 & 15.6185 & 0.281476 \tabularnewline
169 & 17.1 & 10.1957 & 6.90427 \tabularnewline
170 & 16.1 & 14.8157 & 1.28433 \tabularnewline
171 & 19.9 & 20.1671 & -0.267105 \tabularnewline
172 & 10.95 & 9.48159 & 1.46841 \tabularnewline
173 & 18.45 & 16.5649 & 1.88506 \tabularnewline
174 & 15.1 & 16.1005 & -1.00054 \tabularnewline
175 & 15 & 18.1353 & -3.13529 \tabularnewline
176 & 11.35 & 10.5718 & 0.778232 \tabularnewline
177 & 15.95 & 13.345 & 2.60497 \tabularnewline
178 & 18.1 & 19.5643 & -1.46431 \tabularnewline
179 & 14.6 & 15.217 & -0.616958 \tabularnewline
180 & 15.4 & 15.9675 & -0.567452 \tabularnewline
181 & 15.4 & 12.6736 & 2.72638 \tabularnewline
182 & 17.6 & 18.5324 & -0.932362 \tabularnewline
183 & 13.35 & 11.1168 & 2.23324 \tabularnewline
184 & 19.1 & 19.9476 & -0.847608 \tabularnewline
185 & 15.35 & 19.0225 & -3.67248 \tabularnewline
186 & 7.6 & 9.87175 & -2.27175 \tabularnewline
187 & 13.4 & 15.4986 & -2.0986 \tabularnewline
188 & 13.9 & 11.5131 & 2.3869 \tabularnewline
189 & 19.1 & 19.1399 & -0.0399423 \tabularnewline
190 & 15.25 & 17.1975 & -1.94751 \tabularnewline
191 & 12.9 & 12.4626 & 0.437445 \tabularnewline
192 & 16.1 & 13.307 & 2.793 \tabularnewline
193 & 17.35 & 19.1981 & -1.84805 \tabularnewline
194 & 13.15 & 14.8296 & -1.67959 \tabularnewline
195 & 12.15 & 12.2956 & -0.145587 \tabularnewline
196 & 12.6 & 15.171 & -2.57096 \tabularnewline
197 & 10.35 & 8.87243 & 1.47757 \tabularnewline
198 & 15.4 & 18.2981 & -2.89814 \tabularnewline
199 & 9.6 & 6.3059 & 3.2941 \tabularnewline
200 & 18.2 & 18.7373 & -0.537296 \tabularnewline
201 & 13.6 & 13.184 & 0.416 \tabularnewline
202 & 14.85 & 16.9615 & -2.11153 \tabularnewline
203 & 14.75 & 14.9403 & -0.190319 \tabularnewline
204 & 14.1 & 12.8817 & 1.21825 \tabularnewline
205 & 14.9 & 13.9499 & 0.950062 \tabularnewline
206 & 16.25 & 15.5763 & 0.673744 \tabularnewline
207 & 19.25 & 18.8779 & 0.372071 \tabularnewline
208 & 13.6 & 14.6739 & -1.07387 \tabularnewline
209 & 13.6 & 14.0786 & -0.478571 \tabularnewline
210 & 15.65 & 15.7763 & -0.12629 \tabularnewline
211 & 12.75 & 11.3937 & 1.35631 \tabularnewline
212 & 14.6 & 16.0324 & -1.43241 \tabularnewline
213 & 9.85 & 9.40961 & 0.440395 \tabularnewline
214 & 12.65 & 13.4474 & -0.797422 \tabularnewline
215 & 11.9 & 9.46992 & 2.43008 \tabularnewline
216 & 19.2 & 17.5441 & 1.65594 \tabularnewline
217 & 16.6 & 16.9831 & -0.383124 \tabularnewline
218 & 11.2 & 10.4103 & 0.78967 \tabularnewline
219 & 15.25 & 17.8356 & -2.58556 \tabularnewline
220 & 11.9 & 13.2879 & -1.38788 \tabularnewline
221 & 13.2 & 13.884 & -0.684021 \tabularnewline
222 & 16.35 & 16.9664 & -0.616442 \tabularnewline
223 & 12.4 & 11.0535 & 1.34645 \tabularnewline
224 & 15.85 & 17.0908 & -1.24077 \tabularnewline
225 & 14.35 & 12.1233 & 2.22666 \tabularnewline
226 & 18.15 & 19.5285 & -1.37847 \tabularnewline
227 & 11.15 & 12.3536 & -1.20355 \tabularnewline
228 & 15.65 & 13.6585 & 1.99146 \tabularnewline
229 & 17.75 & 22.0232 & -4.27317 \tabularnewline
230 & 7.65 & 8.42373 & -0.773728 \tabularnewline
231 & 12.35 & 9.31627 & 3.03373 \tabularnewline
232 & 15.6 & 12.9938 & 2.60617 \tabularnewline
233 & 19.3 & 16.4341 & 2.86588 \tabularnewline
234 & 15.2 & 12.4348 & 2.76515 \tabularnewline
235 & 17.1 & 15.4437 & 1.65633 \tabularnewline
236 & 15.6 & 11.9694 & 3.63065 \tabularnewline
237 & 18.4 & 15.073 & 3.32698 \tabularnewline
238 & 19.05 & 15.5377 & 3.51234 \tabularnewline
239 & 18.55 & 16.2518 & 2.29815 \tabularnewline
240 & 19.1 & 19.1894 & -0.0894453 \tabularnewline
241 & 13.1 & 15.2576 & -2.15762 \tabularnewline
242 & 12.85 & 14.8772 & -2.02724 \tabularnewline
243 & 9.5 & 15.7787 & -6.27872 \tabularnewline
244 & 4.5 & 4.36458 & 0.135422 \tabularnewline
245 & 11.85 & 13.2763 & -1.42627 \tabularnewline
246 & 13.6 & 14.643 & -1.04298 \tabularnewline
247 & 11.7 & 12.3251 & -0.625054 \tabularnewline
248 & 12.4 & 13.5502 & -1.15017 \tabularnewline
249 & 13.35 & 15.5366 & -2.18658 \tabularnewline
250 & 11.4 & 10.6458 & 0.754245 \tabularnewline
251 & 14.9 & 12.9444 & 1.95562 \tabularnewline
252 & 19.9 & 15.7892 & 4.1108 \tabularnewline
253 & 17.75 & 20.3243 & -2.5743 \tabularnewline
254 & 11.2 & 12.3334 & -1.1334 \tabularnewline
255 & 14.6 & 14.0345 & 0.565461 \tabularnewline
256 & 17.6 & 16.6575 & 0.942532 \tabularnewline
257 & 14.05 & 13.1158 & 0.934201 \tabularnewline
258 & 16.1 & 16.4377 & -0.33767 \tabularnewline
259 & 13.35 & 15.3243 & -1.97428 \tabularnewline
260 & 11.85 & 13.4717 & -1.62172 \tabularnewline
261 & 11.95 & 12.0828 & -0.13279 \tabularnewline
262 & 14.75 & 13.5563 & 1.19369 \tabularnewline
263 & 15.15 & 16.7923 & -1.64225 \tabularnewline
264 & 13.2 & 12.9986 & 0.201401 \tabularnewline
265 & 16.85 & 21.0857 & -4.23566 \tabularnewline
266 & 7.85 & 13.3121 & -5.46212 \tabularnewline
267 & 7.7 & 9.52565 & -1.82565 \tabularnewline
268 & 12.6 & 19.1295 & -6.5295 \tabularnewline
269 & 7.85 & 8.78245 & -0.932446 \tabularnewline
270 & 10.95 & 12.7911 & -1.84111 \tabularnewline
271 & 12.35 & 16.0959 & -3.74594 \tabularnewline
272 & 9.95 & 8.76205 & 1.18795 \tabularnewline
273 & 14.9 & 13.6805 & 1.21946 \tabularnewline
274 & 16.65 & 16.7043 & -0.0542749 \tabularnewline
275 & 13.4 & 14.0698 & -0.669771 \tabularnewline
276 & 13.95 & 12.321 & 1.62901 \tabularnewline
277 & 15.7 & 13.6666 & 2.03339 \tabularnewline
278 & 16.85 & 17.8766 & -1.02664 \tabularnewline
279 & 10.95 & 10.0958 & 0.854178 \tabularnewline
280 & 15.35 & 16.0111 & -0.661109 \tabularnewline
281 & 12.2 & 11.5791 & 0.620873 \tabularnewline
282 & 15.1 & 14.1614 & 0.938601 \tabularnewline
283 & 17.75 & 17.2364 & 0.513566 \tabularnewline
284 & 15.2 & 15.1956 & 0.00438837 \tabularnewline
285 & 14.6 & 13.8673 & 0.732725 \tabularnewline
286 & 16.65 & 19.2868 & -2.63675 \tabularnewline
287 & 8.1 & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265640&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]12.9[/C][C]11.9678[/C][C]0.932222[/C][/ROW]
[ROW][C]2[/C][C]7.4[/C][C]10.8072[/C][C]-3.40718[/C][/ROW]
[ROW][C]3[/C][C]12.2[/C][C]10.1791[/C][C]2.02093[/C][/ROW]
[ROW][C]4[/C][C]12.8[/C][C]11.4318[/C][C]1.36824[/C][/ROW]
[ROW][C]5[/C][C]7.4[/C][C]11.1906[/C][C]-3.79056[/C][/ROW]
[ROW][C]6[/C][C]6.7[/C][C]10.0805[/C][C]-3.38055[/C][/ROW]
[ROW][C]7[/C][C]12.6[/C][C]13.835[/C][C]-1.23504[/C][/ROW]
[ROW][C]8[/C][C]14.8[/C][C]11.4852[/C][C]3.31485[/C][/ROW]
[ROW][C]9[/C][C]13.3[/C][C]10.0368[/C][C]3.26324[/C][/ROW]
[ROW][C]10[/C][C]11.1[/C][C]11.262[/C][C]-0.162007[/C][/ROW]
[ROW][C]11[/C][C]8.2[/C][C]12.3447[/C][C]-4.14466[/C][/ROW]
[ROW][C]12[/C][C]11.4[/C][C]11.4353[/C][C]-0.0353275[/C][/ROW]
[ROW][C]13[/C][C]6.4[/C][C]11.8011[/C][C]-5.40106[/C][/ROW]
[ROW][C]14[/C][C]10.6[/C][C]8.85606[/C][C]1.74394[/C][/ROW]
[ROW][C]15[/C][C]12[/C][C]12.9827[/C][C]-0.982709[/C][/ROW]
[ROW][C]16[/C][C]6.3[/C][C]6.61004[/C][C]-0.310041[/C][/ROW]
[ROW][C]17[/C][C]11.3[/C][C]9.38646[/C][C]1.91354[/C][/ROW]
[ROW][C]18[/C][C]11.9[/C][C]12.2259[/C][C]-0.325889[/C][/ROW]
[ROW][C]19[/C][C]9.3[/C][C]10.1914[/C][C]-0.891366[/C][/ROW]
[ROW][C]20[/C][C]9.6[/C][C]11.7473[/C][C]-2.14726[/C][/ROW]
[ROW][C]21[/C][C]10[/C][C]9.20828[/C][C]0.791716[/C][/ROW]
[ROW][C]22[/C][C]6.4[/C][C]9.97529[/C][C]-3.57529[/C][/ROW]
[ROW][C]23[/C][C]13.8[/C][C]10.9182[/C][C]2.88177[/C][/ROW]
[ROW][C]24[/C][C]10.8[/C][C]13.5369[/C][C]-2.73686[/C][/ROW]
[ROW][C]25[/C][C]13.8[/C][C]12.101[/C][C]1.69897[/C][/ROW]
[ROW][C]26[/C][C]11.7[/C][C]10.7991[/C][C]0.900939[/C][/ROW]
[ROW][C]27[/C][C]10.9[/C][C]14.5233[/C][C]-3.62329[/C][/ROW]
[ROW][C]28[/C][C]16.1[/C][C]13.5634[/C][C]2.53661[/C][/ROW]
[ROW][C]29[/C][C]13.4[/C][C]10.0876[/C][C]3.31244[/C][/ROW]
[ROW][C]30[/C][C]9.9[/C][C]10.5033[/C][C]-0.603295[/C][/ROW]
[ROW][C]31[/C][C]11.5[/C][C]10.7805[/C][C]0.719479[/C][/ROW]
[ROW][C]32[/C][C]8.3[/C][C]9.124[/C][C]-0.824002[/C][/ROW]
[ROW][C]33[/C][C]11.7[/C][C]11.2741[/C][C]0.425903[/C][/ROW]
[ROW][C]34[/C][C]6.1[/C][C]10.414[/C][C]-4.314[/C][/ROW]
[ROW][C]35[/C][C]9[/C][C]9.82715[/C][C]-0.827149[/C][/ROW]
[ROW][C]36[/C][C]9.7[/C][C]12.2248[/C][C]-2.52479[/C][/ROW]
[ROW][C]37[/C][C]10.8[/C][C]9.24894[/C][C]1.55106[/C][/ROW]
[ROW][C]38[/C][C]10.3[/C][C]9.37189[/C][C]0.928113[/C][/ROW]
[ROW][C]39[/C][C]10.4[/C][C]10.4287[/C][C]-0.028673[/C][/ROW]
[ROW][C]40[/C][C]12.7[/C][C]10.9533[/C][C]1.74671[/C][/ROW]
[ROW][C]41[/C][C]9.3[/C][C]11.5806[/C][C]-2.28063[/C][/ROW]
[ROW][C]42[/C][C]11.8[/C][C]12.3272[/C][C]-0.527203[/C][/ROW]
[ROW][C]43[/C][C]5.9[/C][C]9.35186[/C][C]-3.45186[/C][/ROW]
[ROW][C]44[/C][C]11.4[/C][C]11.5693[/C][C]-0.169304[/C][/ROW]
[ROW][C]45[/C][C]13[/C][C]11.2809[/C][C]1.7191[/C][/ROW]
[ROW][C]46[/C][C]10.8[/C][C]11.2391[/C][C]-0.439106[/C][/ROW]
[ROW][C]47[/C][C]12.3[/C][C]8.46106[/C][C]3.83894[/C][/ROW]
[ROW][C]48[/C][C]11.3[/C][C]12.914[/C][C]-1.61396[/C][/ROW]
[ROW][C]49[/C][C]11.8[/C][C]9.56258[/C][C]2.23742[/C][/ROW]
[ROW][C]50[/C][C]7.9[/C][C]9.91029[/C][C]-2.01029[/C][/ROW]
[ROW][C]51[/C][C]12.7[/C][C]8.50635[/C][C]4.19365[/C][/ROW]
[ROW][C]52[/C][C]12.3[/C][C]9.47059[/C][C]2.82941[/C][/ROW]
[ROW][C]53[/C][C]11.6[/C][C]10.7225[/C][C]0.87747[/C][/ROW]
[ROW][C]54[/C][C]6.7[/C][C]7.75408[/C][C]-1.05408[/C][/ROW]
[ROW][C]55[/C][C]10.9[/C][C]10.8694[/C][C]0.0306141[/C][/ROW]
[ROW][C]56[/C][C]12.1[/C][C]11.8028[/C][C]0.297232[/C][/ROW]
[ROW][C]57[/C][C]13.3[/C][C]10.4707[/C][C]2.82935[/C][/ROW]
[ROW][C]58[/C][C]10.1[/C][C]9.96909[/C][C]0.130906[/C][/ROW]
[ROW][C]59[/C][C]5.7[/C][C]11.1583[/C][C]-5.45826[/C][/ROW]
[ROW][C]60[/C][C]14.3[/C][C]9.55074[/C][C]4.74926[/C][/ROW]
[ROW][C]61[/C][C]8[/C][C]7.61228[/C][C]0.387721[/C][/ROW]
[ROW][C]62[/C][C]13.3[/C][C]10.6418[/C][C]2.65825[/C][/ROW]
[ROW][C]63[/C][C]9.3[/C][C]11.9908[/C][C]-2.69075[/C][/ROW]
[ROW][C]64[/C][C]12.5[/C][C]11.0154[/C][C]1.48456[/C][/ROW]
[ROW][C]65[/C][C]7.6[/C][C]8.1998[/C][C]-0.599803[/C][/ROW]
[ROW][C]66[/C][C]15.9[/C][C]13.3188[/C][C]2.58118[/C][/ROW]
[ROW][C]67[/C][C]9.2[/C][C]11.6458[/C][C]-2.44582[/C][/ROW]
[ROW][C]68[/C][C]9.1[/C][C]8.51675[/C][C]0.583253[/C][/ROW]
[ROW][C]69[/C][C]11.1[/C][C]12.8366[/C][C]-1.7366[/C][/ROW]
[ROW][C]70[/C][C]13[/C][C]13.9314[/C][C]-0.931429[/C][/ROW]
[ROW][C]71[/C][C]14.5[/C][C]12.0327[/C][C]2.46733[/C][/ROW]
[ROW][C]72[/C][C]12.2[/C][C]10.8052[/C][C]1.39476[/C][/ROW]
[ROW][C]73[/C][C]12.3[/C][C]13.0174[/C][C]-0.71745[/C][/ROW]
[ROW][C]74[/C][C]11.4[/C][C]9.96937[/C][C]1.43063[/C][/ROW]
[ROW][C]75[/C][C]8.8[/C][C]9.65657[/C][C]-0.856571[/C][/ROW]
[ROW][C]76[/C][C]14.6[/C][C]10.8216[/C][C]3.77843[/C][/ROW]
[ROW][C]77[/C][C]7.3[/C][C]11.3605[/C][C]-4.06047[/C][/ROW]
[ROW][C]78[/C][C]12.6[/C][C]10.8504[/C][C]1.74959[/C][/ROW]
[ROW][C]79[/C][C]NA[/C][C]NA[/C][C]0.903734[/C][/ROW]
[ROW][C]80[/C][C]13[/C][C]11.0476[/C][C]1.95243[/C][/ROW]
[ROW][C]81[/C][C]12.6[/C][C]11.8161[/C][C]0.783888[/C][/ROW]
[ROW][C]82[/C][C]13.2[/C][C]12.8751[/C][C]0.324938[/C][/ROW]
[ROW][C]83[/C][C]9.9[/C][C]11.5615[/C][C]-1.66152[/C][/ROW]
[ROW][C]84[/C][C]7.7[/C][C]7.57975[/C][C]0.120254[/C][/ROW]
[ROW][C]85[/C][C]10.5[/C][C]7.33219[/C][C]3.16781[/C][/ROW]
[ROW][C]86[/C][C]13.4[/C][C]13.0072[/C][C]0.392802[/C][/ROW]
[ROW][C]87[/C][C]10.9[/C][C]15.6151[/C][C]-4.71512[/C][/ROW]
[ROW][C]88[/C][C]4.3[/C][C]5.0635[/C][C]-0.763504[/C][/ROW]
[ROW][C]89[/C][C]10.3[/C][C]9.27078[/C][C]1.02922[/C][/ROW]
[ROW][C]90[/C][C]11.8[/C][C]9.80905[/C][C]1.99095[/C][/ROW]
[ROW][C]91[/C][C]11.2[/C][C]9.08256[/C][C]2.11744[/C][/ROW]
[ROW][C]92[/C][C]11.4[/C][C]12.4975[/C][C]-1.09754[/C][/ROW]
[ROW][C]93[/C][C]8.6[/C][C]6.55879[/C][C]2.04121[/C][/ROW]
[ROW][C]94[/C][C]13.2[/C][C]9.28804[/C][C]3.91196[/C][/ROW]
[ROW][C]95[/C][C]12.6[/C][C]16.9317[/C][C]-4.33172[/C][/ROW]
[ROW][C]96[/C][C]5.6[/C][C]6.78583[/C][C]-1.18583[/C][/ROW]
[ROW][C]97[/C][C]9.9[/C][C]11.1041[/C][C]-1.20406[/C][/ROW]
[ROW][C]98[/C][C]8.8[/C][C]11.1227[/C][C]-2.32271[/C][/ROW]
[ROW][C]99[/C][C]7.7[/C][C]9.02617[/C][C]-1.32617[/C][/ROW]
[ROW][C]100[/C][C]9[/C][C]12.7466[/C][C]-3.74664[/C][/ROW]
[ROW][C]101[/C][C]7.3[/C][C]5.20852[/C][C]2.09148[/C][/ROW]
[ROW][C]102[/C][C]11.4[/C][C]7.72218[/C][C]3.67782[/C][/ROW]
[ROW][C]103[/C][C]13.6[/C][C]15.8447[/C][C]-2.24472[/C][/ROW]
[ROW][C]104[/C][C]7.9[/C][C]6.01517[/C][C]1.88483[/C][/ROW]
[ROW][C]105[/C][C]10.7[/C][C]10.7011[/C][C]-0.00112466[/C][/ROW]
[ROW][C]106[/C][C]10.3[/C][C]10.8591[/C][C]-0.559093[/C][/ROW]
[ROW][C]107[/C][C]8.3[/C][C]9.40596[/C][C]-1.10596[/C][/ROW]
[ROW][C]108[/C][C]9.6[/C][C]5.53193[/C][C]4.06807[/C][/ROW]
[ROW][C]109[/C][C]14.2[/C][C]15.7175[/C][C]-1.51748[/C][/ROW]
[ROW][C]110[/C][C]8.5[/C][C]4.63693[/C][C]3.86307[/C][/ROW]
[ROW][C]111[/C][C]13.5[/C][C]18.3221[/C][C]-4.82211[/C][/ROW]
[ROW][C]112[/C][C]4.9[/C][C]6.71613[/C][C]-1.81613[/C][/ROW]
[ROW][C]113[/C][C]6.4[/C][C]7.07069[/C][C]-0.670688[/C][/ROW]
[ROW][C]114[/C][C]9.6[/C][C]8.61312[/C][C]0.986877[/C][/ROW]
[ROW][C]115[/C][C]11.6[/C][C]9.80177[/C][C]1.79823[/C][/ROW]
[ROW][C]116[/C][C]11.1[/C][C]17.2329[/C][C]-6.13285[/C][/ROW]
[ROW][C]117[/C][C]4.35[/C][C]3.77702[/C][C]0.572984[/C][/ROW]
[ROW][C]118[/C][C]12.7[/C][C]9.67209[/C][C]3.02791[/C][/ROW]
[ROW][C]119[/C][C]18.1[/C][C]15.7366[/C][C]2.36338[/C][/ROW]
[ROW][C]120[/C][C]17.85[/C][C]19.1487[/C][C]-1.29867[/C][/ROW]
[ROW][C]121[/C][C]16.6[/C][C]15.2916[/C][C]1.30845[/C][/ROW]
[ROW][C]122[/C][C]12.6[/C][C]15.7341[/C][C]-3.13411[/C][/ROW]
[ROW][C]123[/C][C]17.1[/C][C]15.2371[/C][C]1.86285[/C][/ROW]
[ROW][C]124[/C][C]19.1[/C][C]21.3749[/C][C]-2.27486[/C][/ROW]
[ROW][C]125[/C][C]16.1[/C][C]14.034[/C][C]2.066[/C][/ROW]
[ROW][C]126[/C][C]13.35[/C][C]12.0942[/C][C]1.25583[/C][/ROW]
[ROW][C]127[/C][C]18.4[/C][C]13.6672[/C][C]4.73285[/C][/ROW]
[ROW][C]128[/C][C]14.7[/C][C]17.9583[/C][C]-3.2583[/C][/ROW]
[ROW][C]129[/C][C]10.6[/C][C]11.2043[/C][C]-0.604271[/C][/ROW]
[ROW][C]130[/C][C]12.6[/C][C]11.3369[/C][C]1.2631[/C][/ROW]
[ROW][C]131[/C][C]16.2[/C][C]18.2412[/C][C]-2.04116[/C][/ROW]
[ROW][C]132[/C][C]13.6[/C][C]11.8547[/C][C]1.74526[/C][/ROW]
[ROW][C]133[/C][C]18.9[/C][C]17.6422[/C][C]1.25777[/C][/ROW]
[ROW][C]134[/C][C]14.1[/C][C]12.3708[/C][C]1.72918[/C][/ROW]
[ROW][C]135[/C][C]14.5[/C][C]16.3484[/C][C]-1.84841[/C][/ROW]
[ROW][C]136[/C][C]16.15[/C][C]15.0382[/C][C]1.11176[/C][/ROW]
[ROW][C]137[/C][C]14.75[/C][C]13.8265[/C][C]0.923519[/C][/ROW]
[ROW][C]138[/C][C]14.8[/C][C]14.5305[/C][C]0.269473[/C][/ROW]
[ROW][C]139[/C][C]12.45[/C][C]13.0863[/C][C]-0.636317[/C][/ROW]
[ROW][C]140[/C][C]12.65[/C][C]9.39485[/C][C]3.25515[/C][/ROW]
[ROW][C]141[/C][C]17.35[/C][C]19.0453[/C][C]-1.69528[/C][/ROW]
[ROW][C]142[/C][C]8.6[/C][C]7.1096[/C][C]1.4904[/C][/ROW]
[ROW][C]143[/C][C]18.4[/C][C]18.3139[/C][C]0.0861235[/C][/ROW]
[ROW][C]144[/C][C]16.1[/C][C]16.3042[/C][C]-0.204194[/C][/ROW]
[ROW][C]145[/C][C]11.6[/C][C]8.306[/C][C]3.294[/C][/ROW]
[ROW][C]146[/C][C]17.75[/C][C]16.9572[/C][C]0.79281[/C][/ROW]
[ROW][C]147[/C][C]15.25[/C][C]12.3775[/C][C]2.87255[/C][/ROW]
[ROW][C]148[/C][C]17.65[/C][C]16.7891[/C][C]0.860894[/C][/ROW]
[ROW][C]149[/C][C]15.6[/C][C]15.3345[/C][C]0.265504[/C][/ROW]
[ROW][C]150[/C][C]16.35[/C][C]15.0376[/C][C]1.31237[/C][/ROW]
[ROW][C]151[/C][C]17.65[/C][C]17.8748[/C][C]-0.224824[/C][/ROW]
[ROW][C]152[/C][C]13.6[/C][C]16.0467[/C][C]-2.44669[/C][/ROW]
[ROW][C]153[/C][C]11.7[/C][C]11.5436[/C][C]0.15643[/C][/ROW]
[ROW][C]154[/C][C]14.35[/C][C]15.5453[/C][C]-1.19531[/C][/ROW]
[ROW][C]155[/C][C]14.75[/C][C]12.9436[/C][C]1.80645[/C][/ROW]
[ROW][C]156[/C][C]18.25[/C][C]24.1435[/C][C]-5.89349[/C][/ROW]
[ROW][C]157[/C][C]9.9[/C][C]8.54302[/C][C]1.35698[/C][/ROW]
[ROW][C]158[/C][C]16[/C][C]13.7661[/C][C]2.23385[/C][/ROW]
[ROW][C]159[/C][C]18.25[/C][C]19.0295[/C][C]-0.779467[/C][/ROW]
[ROW][C]160[/C][C]16.85[/C][C]15.4888[/C][C]1.36121[/C][/ROW]
[ROW][C]161[/C][C]14.6[/C][C]15.2128[/C][C]-0.612783[/C][/ROW]
[ROW][C]162[/C][C]13.85[/C][C]12.0502[/C][C]1.7998[/C][/ROW]
[ROW][C]163[/C][C]18.95[/C][C]17.8506[/C][C]1.09944[/C][/ROW]
[ROW][C]164[/C][C]15.6[/C][C]18.4487[/C][C]-2.84872[/C][/ROW]
[ROW][C]165[/C][C]14.85[/C][C]17.3465[/C][C]-2.49653[/C][/ROW]
[ROW][C]166[/C][C]11.75[/C][C]9.5114[/C][C]2.2386[/C][/ROW]
[ROW][C]167[/C][C]18.45[/C][C]17.9419[/C][C]0.508086[/C][/ROW]
[ROW][C]168[/C][C]15.9[/C][C]15.6185[/C][C]0.281476[/C][/ROW]
[ROW][C]169[/C][C]17.1[/C][C]10.1957[/C][C]6.90427[/C][/ROW]
[ROW][C]170[/C][C]16.1[/C][C]14.8157[/C][C]1.28433[/C][/ROW]
[ROW][C]171[/C][C]19.9[/C][C]20.1671[/C][C]-0.267105[/C][/ROW]
[ROW][C]172[/C][C]10.95[/C][C]9.48159[/C][C]1.46841[/C][/ROW]
[ROW][C]173[/C][C]18.45[/C][C]16.5649[/C][C]1.88506[/C][/ROW]
[ROW][C]174[/C][C]15.1[/C][C]16.1005[/C][C]-1.00054[/C][/ROW]
[ROW][C]175[/C][C]15[/C][C]18.1353[/C][C]-3.13529[/C][/ROW]
[ROW][C]176[/C][C]11.35[/C][C]10.5718[/C][C]0.778232[/C][/ROW]
[ROW][C]177[/C][C]15.95[/C][C]13.345[/C][C]2.60497[/C][/ROW]
[ROW][C]178[/C][C]18.1[/C][C]19.5643[/C][C]-1.46431[/C][/ROW]
[ROW][C]179[/C][C]14.6[/C][C]15.217[/C][C]-0.616958[/C][/ROW]
[ROW][C]180[/C][C]15.4[/C][C]15.9675[/C][C]-0.567452[/C][/ROW]
[ROW][C]181[/C][C]15.4[/C][C]12.6736[/C][C]2.72638[/C][/ROW]
[ROW][C]182[/C][C]17.6[/C][C]18.5324[/C][C]-0.932362[/C][/ROW]
[ROW][C]183[/C][C]13.35[/C][C]11.1168[/C][C]2.23324[/C][/ROW]
[ROW][C]184[/C][C]19.1[/C][C]19.9476[/C][C]-0.847608[/C][/ROW]
[ROW][C]185[/C][C]15.35[/C][C]19.0225[/C][C]-3.67248[/C][/ROW]
[ROW][C]186[/C][C]7.6[/C][C]9.87175[/C][C]-2.27175[/C][/ROW]
[ROW][C]187[/C][C]13.4[/C][C]15.4986[/C][C]-2.0986[/C][/ROW]
[ROW][C]188[/C][C]13.9[/C][C]11.5131[/C][C]2.3869[/C][/ROW]
[ROW][C]189[/C][C]19.1[/C][C]19.1399[/C][C]-0.0399423[/C][/ROW]
[ROW][C]190[/C][C]15.25[/C][C]17.1975[/C][C]-1.94751[/C][/ROW]
[ROW][C]191[/C][C]12.9[/C][C]12.4626[/C][C]0.437445[/C][/ROW]
[ROW][C]192[/C][C]16.1[/C][C]13.307[/C][C]2.793[/C][/ROW]
[ROW][C]193[/C][C]17.35[/C][C]19.1981[/C][C]-1.84805[/C][/ROW]
[ROW][C]194[/C][C]13.15[/C][C]14.8296[/C][C]-1.67959[/C][/ROW]
[ROW][C]195[/C][C]12.15[/C][C]12.2956[/C][C]-0.145587[/C][/ROW]
[ROW][C]196[/C][C]12.6[/C][C]15.171[/C][C]-2.57096[/C][/ROW]
[ROW][C]197[/C][C]10.35[/C][C]8.87243[/C][C]1.47757[/C][/ROW]
[ROW][C]198[/C][C]15.4[/C][C]18.2981[/C][C]-2.89814[/C][/ROW]
[ROW][C]199[/C][C]9.6[/C][C]6.3059[/C][C]3.2941[/C][/ROW]
[ROW][C]200[/C][C]18.2[/C][C]18.7373[/C][C]-0.537296[/C][/ROW]
[ROW][C]201[/C][C]13.6[/C][C]13.184[/C][C]0.416[/C][/ROW]
[ROW][C]202[/C][C]14.85[/C][C]16.9615[/C][C]-2.11153[/C][/ROW]
[ROW][C]203[/C][C]14.75[/C][C]14.9403[/C][C]-0.190319[/C][/ROW]
[ROW][C]204[/C][C]14.1[/C][C]12.8817[/C][C]1.21825[/C][/ROW]
[ROW][C]205[/C][C]14.9[/C][C]13.9499[/C][C]0.950062[/C][/ROW]
[ROW][C]206[/C][C]16.25[/C][C]15.5763[/C][C]0.673744[/C][/ROW]
[ROW][C]207[/C][C]19.25[/C][C]18.8779[/C][C]0.372071[/C][/ROW]
[ROW][C]208[/C][C]13.6[/C][C]14.6739[/C][C]-1.07387[/C][/ROW]
[ROW][C]209[/C][C]13.6[/C][C]14.0786[/C][C]-0.478571[/C][/ROW]
[ROW][C]210[/C][C]15.65[/C][C]15.7763[/C][C]-0.12629[/C][/ROW]
[ROW][C]211[/C][C]12.75[/C][C]11.3937[/C][C]1.35631[/C][/ROW]
[ROW][C]212[/C][C]14.6[/C][C]16.0324[/C][C]-1.43241[/C][/ROW]
[ROW][C]213[/C][C]9.85[/C][C]9.40961[/C][C]0.440395[/C][/ROW]
[ROW][C]214[/C][C]12.65[/C][C]13.4474[/C][C]-0.797422[/C][/ROW]
[ROW][C]215[/C][C]11.9[/C][C]9.46992[/C][C]2.43008[/C][/ROW]
[ROW][C]216[/C][C]19.2[/C][C]17.5441[/C][C]1.65594[/C][/ROW]
[ROW][C]217[/C][C]16.6[/C][C]16.9831[/C][C]-0.383124[/C][/ROW]
[ROW][C]218[/C][C]11.2[/C][C]10.4103[/C][C]0.78967[/C][/ROW]
[ROW][C]219[/C][C]15.25[/C][C]17.8356[/C][C]-2.58556[/C][/ROW]
[ROW][C]220[/C][C]11.9[/C][C]13.2879[/C][C]-1.38788[/C][/ROW]
[ROW][C]221[/C][C]13.2[/C][C]13.884[/C][C]-0.684021[/C][/ROW]
[ROW][C]222[/C][C]16.35[/C][C]16.9664[/C][C]-0.616442[/C][/ROW]
[ROW][C]223[/C][C]12.4[/C][C]11.0535[/C][C]1.34645[/C][/ROW]
[ROW][C]224[/C][C]15.85[/C][C]17.0908[/C][C]-1.24077[/C][/ROW]
[ROW][C]225[/C][C]14.35[/C][C]12.1233[/C][C]2.22666[/C][/ROW]
[ROW][C]226[/C][C]18.15[/C][C]19.5285[/C][C]-1.37847[/C][/ROW]
[ROW][C]227[/C][C]11.15[/C][C]12.3536[/C][C]-1.20355[/C][/ROW]
[ROW][C]228[/C][C]15.65[/C][C]13.6585[/C][C]1.99146[/C][/ROW]
[ROW][C]229[/C][C]17.75[/C][C]22.0232[/C][C]-4.27317[/C][/ROW]
[ROW][C]230[/C][C]7.65[/C][C]8.42373[/C][C]-0.773728[/C][/ROW]
[ROW][C]231[/C][C]12.35[/C][C]9.31627[/C][C]3.03373[/C][/ROW]
[ROW][C]232[/C][C]15.6[/C][C]12.9938[/C][C]2.60617[/C][/ROW]
[ROW][C]233[/C][C]19.3[/C][C]16.4341[/C][C]2.86588[/C][/ROW]
[ROW][C]234[/C][C]15.2[/C][C]12.4348[/C][C]2.76515[/C][/ROW]
[ROW][C]235[/C][C]17.1[/C][C]15.4437[/C][C]1.65633[/C][/ROW]
[ROW][C]236[/C][C]15.6[/C][C]11.9694[/C][C]3.63065[/C][/ROW]
[ROW][C]237[/C][C]18.4[/C][C]15.073[/C][C]3.32698[/C][/ROW]
[ROW][C]238[/C][C]19.05[/C][C]15.5377[/C][C]3.51234[/C][/ROW]
[ROW][C]239[/C][C]18.55[/C][C]16.2518[/C][C]2.29815[/C][/ROW]
[ROW][C]240[/C][C]19.1[/C][C]19.1894[/C][C]-0.0894453[/C][/ROW]
[ROW][C]241[/C][C]13.1[/C][C]15.2576[/C][C]-2.15762[/C][/ROW]
[ROW][C]242[/C][C]12.85[/C][C]14.8772[/C][C]-2.02724[/C][/ROW]
[ROW][C]243[/C][C]9.5[/C][C]15.7787[/C][C]-6.27872[/C][/ROW]
[ROW][C]244[/C][C]4.5[/C][C]4.36458[/C][C]0.135422[/C][/ROW]
[ROW][C]245[/C][C]11.85[/C][C]13.2763[/C][C]-1.42627[/C][/ROW]
[ROW][C]246[/C][C]13.6[/C][C]14.643[/C][C]-1.04298[/C][/ROW]
[ROW][C]247[/C][C]11.7[/C][C]12.3251[/C][C]-0.625054[/C][/ROW]
[ROW][C]248[/C][C]12.4[/C][C]13.5502[/C][C]-1.15017[/C][/ROW]
[ROW][C]249[/C][C]13.35[/C][C]15.5366[/C][C]-2.18658[/C][/ROW]
[ROW][C]250[/C][C]11.4[/C][C]10.6458[/C][C]0.754245[/C][/ROW]
[ROW][C]251[/C][C]14.9[/C][C]12.9444[/C][C]1.95562[/C][/ROW]
[ROW][C]252[/C][C]19.9[/C][C]15.7892[/C][C]4.1108[/C][/ROW]
[ROW][C]253[/C][C]17.75[/C][C]20.3243[/C][C]-2.5743[/C][/ROW]
[ROW][C]254[/C][C]11.2[/C][C]12.3334[/C][C]-1.1334[/C][/ROW]
[ROW][C]255[/C][C]14.6[/C][C]14.0345[/C][C]0.565461[/C][/ROW]
[ROW][C]256[/C][C]17.6[/C][C]16.6575[/C][C]0.942532[/C][/ROW]
[ROW][C]257[/C][C]14.05[/C][C]13.1158[/C][C]0.934201[/C][/ROW]
[ROW][C]258[/C][C]16.1[/C][C]16.4377[/C][C]-0.33767[/C][/ROW]
[ROW][C]259[/C][C]13.35[/C][C]15.3243[/C][C]-1.97428[/C][/ROW]
[ROW][C]260[/C][C]11.85[/C][C]13.4717[/C][C]-1.62172[/C][/ROW]
[ROW][C]261[/C][C]11.95[/C][C]12.0828[/C][C]-0.13279[/C][/ROW]
[ROW][C]262[/C][C]14.75[/C][C]13.5563[/C][C]1.19369[/C][/ROW]
[ROW][C]263[/C][C]15.15[/C][C]16.7923[/C][C]-1.64225[/C][/ROW]
[ROW][C]264[/C][C]13.2[/C][C]12.9986[/C][C]0.201401[/C][/ROW]
[ROW][C]265[/C][C]16.85[/C][C]21.0857[/C][C]-4.23566[/C][/ROW]
[ROW][C]266[/C][C]7.85[/C][C]13.3121[/C][C]-5.46212[/C][/ROW]
[ROW][C]267[/C][C]7.7[/C][C]9.52565[/C][C]-1.82565[/C][/ROW]
[ROW][C]268[/C][C]12.6[/C][C]19.1295[/C][C]-6.5295[/C][/ROW]
[ROW][C]269[/C][C]7.85[/C][C]8.78245[/C][C]-0.932446[/C][/ROW]
[ROW][C]270[/C][C]10.95[/C][C]12.7911[/C][C]-1.84111[/C][/ROW]
[ROW][C]271[/C][C]12.35[/C][C]16.0959[/C][C]-3.74594[/C][/ROW]
[ROW][C]272[/C][C]9.95[/C][C]8.76205[/C][C]1.18795[/C][/ROW]
[ROW][C]273[/C][C]14.9[/C][C]13.6805[/C][C]1.21946[/C][/ROW]
[ROW][C]274[/C][C]16.65[/C][C]16.7043[/C][C]-0.0542749[/C][/ROW]
[ROW][C]275[/C][C]13.4[/C][C]14.0698[/C][C]-0.669771[/C][/ROW]
[ROW][C]276[/C][C]13.95[/C][C]12.321[/C][C]1.62901[/C][/ROW]
[ROW][C]277[/C][C]15.7[/C][C]13.6666[/C][C]2.03339[/C][/ROW]
[ROW][C]278[/C][C]16.85[/C][C]17.8766[/C][C]-1.02664[/C][/ROW]
[ROW][C]279[/C][C]10.95[/C][C]10.0958[/C][C]0.854178[/C][/ROW]
[ROW][C]280[/C][C]15.35[/C][C]16.0111[/C][C]-0.661109[/C][/ROW]
[ROW][C]281[/C][C]12.2[/C][C]11.5791[/C][C]0.620873[/C][/ROW]
[ROW][C]282[/C][C]15.1[/C][C]14.1614[/C][C]0.938601[/C][/ROW]
[ROW][C]283[/C][C]17.75[/C][C]17.2364[/C][C]0.513566[/C][/ROW]
[ROW][C]284[/C][C]15.2[/C][C]15.1956[/C][C]0.00438837[/C][/ROW]
[ROW][C]285[/C][C]14.6[/C][C]13.8673[/C][C]0.732725[/C][/ROW]
[ROW][C]286[/C][C]16.65[/C][C]19.2868[/C][C]-2.63675[/C][/ROW]
[ROW][C]287[/C][C]8.1[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265640&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265640&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 IndexActualsInterpolationForecastResidualsPrediction Error
112.911.96780.932222
27.410.8072-3.40718
312.210.17912.02093
412.811.43181.36824
57.411.1906-3.79056
66.710.0805-3.38055
712.613.835-1.23504
814.811.48523.31485
913.310.03683.26324
1011.111.262-0.162007
118.212.3447-4.14466
1211.411.4353-0.0353275
136.411.8011-5.40106
1410.68.856061.74394
151212.9827-0.982709
166.36.61004-0.310041
1711.39.386461.91354
1811.912.2259-0.325889
199.310.1914-0.891366
209.611.7473-2.14726
21109.208280.791716
226.49.97529-3.57529
2313.810.91822.88177
2410.813.5369-2.73686
2513.812.1011.69897
2611.710.79910.900939
2710.914.5233-3.62329
2816.113.56342.53661
2913.410.08763.31244
309.910.5033-0.603295
3111.510.78050.719479
328.39.124-0.824002
3311.711.27410.425903
346.110.414-4.314
3599.82715-0.827149
369.712.2248-2.52479
3710.89.248941.55106
3810.39.371890.928113
3910.410.4287-0.028673
4012.710.95331.74671
419.311.5806-2.28063
4211.812.3272-0.527203
435.99.35186-3.45186
4411.411.5693-0.169304
451311.28091.7191
4610.811.2391-0.439106
4712.38.461063.83894
4811.312.914-1.61396
4911.89.562582.23742
507.99.91029-2.01029
5112.78.506354.19365
5212.39.470592.82941
5311.610.72250.87747
546.77.75408-1.05408
5510.910.86940.0306141
5612.111.80280.297232
5713.310.47072.82935
5810.19.969090.130906
595.711.1583-5.45826
6014.39.550744.74926
6187.612280.387721
6213.310.64182.65825
639.311.9908-2.69075
6412.511.01541.48456
657.68.1998-0.599803
6615.913.31882.58118
679.211.6458-2.44582
689.18.516750.583253
6911.112.8366-1.7366
701313.9314-0.931429
7114.512.03272.46733
7212.210.80521.39476
7312.313.0174-0.71745
7411.49.969371.43063
758.89.65657-0.856571
7614.610.82163.77843
777.311.3605-4.06047
7812.610.85041.74959
79NANA0.903734
801311.04761.95243
8112.611.81610.783888
8213.212.87510.324938
839.911.5615-1.66152
847.77.579750.120254
8510.57.332193.16781
8613.413.00720.392802
8710.915.6151-4.71512
884.35.0635-0.763504
8910.39.270781.02922
9011.89.809051.99095
9111.29.082562.11744
9211.412.4975-1.09754
938.66.558792.04121
9413.29.288043.91196
9512.616.9317-4.33172
965.66.78583-1.18583
979.911.1041-1.20406
988.811.1227-2.32271
997.79.02617-1.32617
100912.7466-3.74664
1017.35.208522.09148
10211.47.722183.67782
10313.615.8447-2.24472
1047.96.015171.88483
10510.710.7011-0.00112466
10610.310.8591-0.559093
1078.39.40596-1.10596
1089.65.531934.06807
10914.215.7175-1.51748
1108.54.636933.86307
11113.518.3221-4.82211
1124.96.71613-1.81613
1136.47.07069-0.670688
1149.68.613120.986877
11511.69.801771.79823
11611.117.2329-6.13285
1174.353.777020.572984
11812.79.672093.02791
11918.115.73662.36338
12017.8519.1487-1.29867
12116.615.29161.30845
12212.615.7341-3.13411
12317.115.23711.86285
12419.121.3749-2.27486
12516.114.0342.066
12613.3512.09421.25583
12718.413.66724.73285
12814.717.9583-3.2583
12910.611.2043-0.604271
13012.611.33691.2631
13116.218.2412-2.04116
13213.611.85471.74526
13318.917.64221.25777
13414.112.37081.72918
13514.516.3484-1.84841
13616.1515.03821.11176
13714.7513.82650.923519
13814.814.53050.269473
13912.4513.0863-0.636317
14012.659.394853.25515
14117.3519.0453-1.69528
1428.67.10961.4904
14318.418.31390.0861235
14416.116.3042-0.204194
14511.68.3063.294
14617.7516.95720.79281
14715.2512.37752.87255
14817.6516.78910.860894
14915.615.33450.265504
15016.3515.03761.31237
15117.6517.8748-0.224824
15213.616.0467-2.44669
15311.711.54360.15643
15414.3515.5453-1.19531
15514.7512.94361.80645
15618.2524.1435-5.89349
1579.98.543021.35698
1581613.76612.23385
15918.2519.0295-0.779467
16016.8515.48881.36121
16114.615.2128-0.612783
16213.8512.05021.7998
16318.9517.85061.09944
16415.618.4487-2.84872
16514.8517.3465-2.49653
16611.759.51142.2386
16718.4517.94190.508086
16815.915.61850.281476
16917.110.19576.90427
17016.114.81571.28433
17119.920.1671-0.267105
17210.959.481591.46841
17318.4516.56491.88506
17415.116.1005-1.00054
1751518.1353-3.13529
17611.3510.57180.778232
17715.9513.3452.60497
17818.119.5643-1.46431
17914.615.217-0.616958
18015.415.9675-0.567452
18115.412.67362.72638
18217.618.5324-0.932362
18313.3511.11682.23324
18419.119.9476-0.847608
18515.3519.0225-3.67248
1867.69.87175-2.27175
18713.415.4986-2.0986
18813.911.51312.3869
18919.119.1399-0.0399423
19015.2517.1975-1.94751
19112.912.46260.437445
19216.113.3072.793
19317.3519.1981-1.84805
19413.1514.8296-1.67959
19512.1512.2956-0.145587
19612.615.171-2.57096
19710.358.872431.47757
19815.418.2981-2.89814
1999.66.30593.2941
20018.218.7373-0.537296
20113.613.1840.416
20214.8516.9615-2.11153
20314.7514.9403-0.190319
20414.112.88171.21825
20514.913.94990.950062
20616.2515.57630.673744
20719.2518.87790.372071
20813.614.6739-1.07387
20913.614.0786-0.478571
21015.6515.7763-0.12629
21112.7511.39371.35631
21214.616.0324-1.43241
2139.859.409610.440395
21412.6513.4474-0.797422
21511.99.469922.43008
21619.217.54411.65594
21716.616.9831-0.383124
21811.210.41030.78967
21915.2517.8356-2.58556
22011.913.2879-1.38788
22113.213.884-0.684021
22216.3516.9664-0.616442
22312.411.05351.34645
22415.8517.0908-1.24077
22514.3512.12332.22666
22618.1519.5285-1.37847
22711.1512.3536-1.20355
22815.6513.65851.99146
22917.7522.0232-4.27317
2307.658.42373-0.773728
23112.359.316273.03373
23215.612.99382.60617
23319.316.43412.86588
23415.212.43482.76515
23517.115.44371.65633
23615.611.96943.63065
23718.415.0733.32698
23819.0515.53773.51234
23918.5516.25182.29815
24019.119.1894-0.0894453
24113.115.2576-2.15762
24212.8514.8772-2.02724
2439.515.7787-6.27872
2444.54.364580.135422
24511.8513.2763-1.42627
24613.614.643-1.04298
24711.712.3251-0.625054
24812.413.5502-1.15017
24913.3515.5366-2.18658
25011.410.64580.754245
25114.912.94441.95562
25219.915.78924.1108
25317.7520.3243-2.5743
25411.212.3334-1.1334
25514.614.03450.565461
25617.616.65750.942532
25714.0513.11580.934201
25816.116.4377-0.33767
25913.3515.3243-1.97428
26011.8513.4717-1.62172
26111.9512.0828-0.13279
26214.7513.55631.19369
26315.1516.7923-1.64225
26413.212.99860.201401
26516.8521.0857-4.23566
2667.8513.3121-5.46212
2677.79.52565-1.82565
26812.619.1295-6.5295
2697.858.78245-0.932446
27010.9512.7911-1.84111
27112.3516.0959-3.74594
2729.958.762051.18795
27314.913.68051.21946
27416.6516.7043-0.0542749
27513.414.0698-0.669771
27613.9512.3211.62901
27715.713.66662.03339
27816.8517.8766-1.02664
27910.9510.09580.854178
28015.3516.0111-0.661109
28112.211.57910.620873
28215.114.16140.938601
28317.7517.23640.513566
28415.215.19560.00438837
28514.613.86730.732725
28616.6519.2868-2.63675
2878.1NANA







Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
160.9735150.0529710.0264855
170.9443480.1113040.055652
180.8991620.2016750.100838
190.8387030.3225930.161297
200.784270.4314590.21573
210.7357890.5284230.264211
220.7009410.5981190.299059
230.6211390.7577210.378861
240.5389990.9220020.461001
250.528230.9435390.47177
260.4709110.9418230.529089
270.4085240.8170480.591476
280.3401620.6803240.659838
290.309330.6186590.69067
300.2606750.5213510.739325
310.2383050.476610.761695
320.2783890.5567790.721611
330.2227810.4455620.777219
340.2119350.423870.788065
350.1832120.3664250.816788
360.199160.398320.80084
370.1967640.3935280.803236
380.1947520.3895040.805248
390.1589230.3178460.841077
400.1378150.275630.862185
410.2075330.4150660.792467
420.1864790.3729580.813521
430.2251930.4503860.774807
440.2127150.4254290.787285
450.221240.442480.77876
460.1901830.3803660.809817
470.1806150.3612310.819385
480.1510620.3021240.848938
490.1581770.3163540.841823
500.1827330.3654650.817267
510.2826360.5652730.717364
520.3139590.6279180.686041
530.2847150.569430.715285
540.2900650.5801290.709935
550.2932310.5864630.706769
560.2908160.5816320.709184
570.4016860.8033730.598314
580.3720530.7441060.627947
590.6683620.6632760.331638
600.7199570.5600860.280043
610.6821170.6357660.317883
620.7054860.5890270.294514
630.6974820.6050370.302518
640.6840020.6319970.315998
650.733710.5325790.26629
660.7797050.4405890.220295
670.7830040.4339920.216996
680.7587750.482450.241225
690.7437470.5125050.256253
700.7215670.5568670.278433
710.7312690.5374610.268731
720.7025280.5949440.297472
730.6722930.6554140.327707
740.6525720.6948560.347428
750.6255620.7488770.374438
760.6586410.6827170.341359
770.7546950.4906110.245305
780.7370640.5258720.262936
790.7078890.5842230.292111
800.688870.6222610.31113
810.6817350.6365310.318265
820.6608660.6782680.339134
830.6495980.7008050.350402
840.6146550.770690.385345
850.6316940.7366130.368306
860.5965820.8068370.403418
870.7216020.5567960.278398
880.7102330.5795350.289767
890.6790820.6418350.320918
900.659060.681880.34094
910.6467950.7064090.353205
920.6257770.7484470.374223
930.623350.7533010.37665
940.6781390.6437220.321861
950.7603820.4792350.239618
960.7414730.5170550.258527
970.7195310.5609380.280469
980.7181010.5637990.281899
990.6954750.6090490.304525
1000.7329520.5340950.267048
1010.7334310.5331370.266569
1020.7892470.4215060.210753
1030.8004420.3991170.199558
1040.7867910.4264170.213209
1050.759260.481480.24074
1060.7418650.5162710.258135
1070.7225790.5548420.277421
1080.7786180.4427640.221382
1090.7740680.4518630.225932
1100.8183170.3633660.181683
1110.890380.219240.10962
1120.8897030.2205930.110297
1130.8772540.2454920.122746
1140.8634690.2730610.136531
1150.8523540.2952910.147646
1160.8898870.2202260.110113
1170.9071540.1856930.0928464
1180.9028680.1942640.0971321
1190.8926680.2146650.107332
1200.9118630.1762750.0881374
1210.9080960.1838090.0919044
1220.9126430.1747140.0873571
1230.9093470.1813060.0906529
1240.9194110.1611790.0805894
1250.9226630.1546750.0773373
1260.9169110.1661780.0830891
1270.9651550.06969070.0348454
1280.9731050.05378940.0268947
1290.9676260.06474870.0323744
1300.9633010.07339830.0366992
1310.965320.06935930.0346797
1320.9617040.07659190.038296
1330.9562630.08747340.0437367
1340.9517230.09655320.0482766
1350.9489880.1020250.0510123
1360.9412530.1174930.0587466
1370.9327910.1344190.0672094
1380.9219360.1561280.0780642
1390.9093670.1812670.0906333
1400.9238840.1522310.0761157
1410.919830.1603390.0801696
1420.9130350.1739290.0869645
1430.8995680.2008630.100432
1440.8878940.2242120.112106
1450.9007280.1985450.0992724
1460.8847110.2305780.115289
1470.8957220.2085560.104278
1480.8809410.2381190.119059
1490.8626210.2747580.137379
1500.8477410.3045190.152259
1510.8278320.3443360.172168
1520.8372670.3254670.162733
1530.8147330.3705340.185267
1540.7961480.4077040.203852
1550.7856190.4287630.214381
1560.9135670.1728650.0864326
1570.9025210.1949580.0974788
1580.9006420.1987160.099358
1590.8865670.2268660.113433
1600.8754440.2491120.124556
1610.8611570.2776870.138843
1620.8496120.3007750.150388
1630.8333220.3333570.166678
1640.8546310.2907370.145369
1650.8580210.2839580.141979
1660.8526830.2946330.147317
1670.8332250.333550.166775
1680.8139930.3720140.186007
1690.9745760.05084820.0254241
1700.9693380.06132360.0306618
1710.9689480.06210370.0310518
1720.9639320.07213530.0360676
1730.9634730.0730550.0365275
1740.9579040.08419280.0420964
1750.9671430.06571350.0328567
1760.9603780.07924410.0396221
1770.9606750.07864990.0393249
1780.9595150.08096960.0404848
1790.9528340.09433190.0471659
1800.9456030.1087930.0543967
1810.9485950.1028090.0514046
1820.9398160.1203680.0601838
1830.939250.12150.0607498
1840.9346960.1306080.0653038
1850.940340.1193210.0596605
1860.9431390.1137220.0568612
1870.9465520.1068950.0534476
1880.9467930.1064150.0532074
1890.9373270.1253460.0626731
1900.9456260.1087480.0543739
1910.9344080.1311830.0655917
1920.9378110.1243780.0621891
1930.9415030.1169940.0584971
1940.9420910.1158180.0579092
1950.932490.1350210.0675103
1960.9316060.1367890.0683945
1970.9198170.1603650.0801826
1980.9317770.1364460.068223
1990.9367690.1264630.0632315
2000.9244330.1511350.0755674
2010.9149850.1700290.0850147
2020.9169880.1660240.0830119
2030.900820.1983610.0991803
2040.8898440.2203120.110156
2050.8702190.2595620.129781
2060.8641210.2717580.135879
2070.8409180.3181650.159082
2080.8295150.340970.170485
2090.8059070.3881850.194093
2100.7831330.4337350.216867
2110.8055890.3888210.194411
2120.8033450.3933090.196655
2130.7835770.4328460.216423
2140.7538820.4922370.246118
2150.7328720.5342550.267128
2160.7345750.5308510.265425
2170.7101280.5797430.289872
2180.6730690.6538620.326931
2190.6588130.6823740.341187
2200.6219870.7560260.378013
2210.5950630.8098740.404937
2220.5532240.8935520.446776
2230.5478410.9043170.452159
2240.5491470.9017060.450853
2250.5160720.9678570.483928
2260.4838230.9676450.516177
2270.4557070.9114140.544293
2280.4595480.9190970.540452
2290.5579040.8841920.442096
2300.5133180.9733630.486682
2310.5745670.8508650.425433
2320.5557690.8884610.444231
2330.6326770.7346460.367323
2340.61410.7717990.3859
2350.6520850.6958290.347915
2360.7612150.4775690.238785
2370.7837350.432530.216265
2380.7902870.4194260.209713
2390.7916270.4167460.208373
2400.7600140.4799710.239986
2410.7318310.5363390.268169
2420.6923860.6152280.307614
2430.8138110.3723770.186189
2440.7874580.4250840.212542
2450.7464170.5071670.253583
2460.6992460.6015090.300754
2470.6528130.6943730.347187
2480.6202150.759570.379785
2490.5732540.8534930.426746
2500.5291830.9416340.470817
2510.4689660.9379320.531034
2520.6765320.6469370.323468
2530.6347420.7305160.365258
2540.5744750.8510510.425525
2550.5156130.9687740.484387
2560.6658270.6683450.334173
2570.5971310.8057370.402869
2580.5451730.9096530.454827
2590.5193480.9613050.480652
2600.5040410.9919190.495959
2610.4330580.8661170.566942
2620.4859330.9718650.514067
2630.4273840.8547680.572616
2640.3598390.7196780.640161
2650.3471420.6942830.652858
2660.8917160.2165690.108284
2670.978470.0430610.0215305
2680.9681930.06361470.0318073
2690.9544580.0910830.0455415
2700.8792710.2414590.120729
2710.9522710.0954590.0477295

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
16 & 0.973515 & 0.052971 & 0.0264855 \tabularnewline
17 & 0.944348 & 0.111304 & 0.055652 \tabularnewline
18 & 0.899162 & 0.201675 & 0.100838 \tabularnewline
19 & 0.838703 & 0.322593 & 0.161297 \tabularnewline
20 & 0.78427 & 0.431459 & 0.21573 \tabularnewline
21 & 0.735789 & 0.528423 & 0.264211 \tabularnewline
22 & 0.700941 & 0.598119 & 0.299059 \tabularnewline
23 & 0.621139 & 0.757721 & 0.378861 \tabularnewline
24 & 0.538999 & 0.922002 & 0.461001 \tabularnewline
25 & 0.52823 & 0.943539 & 0.47177 \tabularnewline
26 & 0.470911 & 0.941823 & 0.529089 \tabularnewline
27 & 0.408524 & 0.817048 & 0.591476 \tabularnewline
28 & 0.340162 & 0.680324 & 0.659838 \tabularnewline
29 & 0.30933 & 0.618659 & 0.69067 \tabularnewline
30 & 0.260675 & 0.521351 & 0.739325 \tabularnewline
31 & 0.238305 & 0.47661 & 0.761695 \tabularnewline
32 & 0.278389 & 0.556779 & 0.721611 \tabularnewline
33 & 0.222781 & 0.445562 & 0.777219 \tabularnewline
34 & 0.211935 & 0.42387 & 0.788065 \tabularnewline
35 & 0.183212 & 0.366425 & 0.816788 \tabularnewline
36 & 0.19916 & 0.39832 & 0.80084 \tabularnewline
37 & 0.196764 & 0.393528 & 0.803236 \tabularnewline
38 & 0.194752 & 0.389504 & 0.805248 \tabularnewline
39 & 0.158923 & 0.317846 & 0.841077 \tabularnewline
40 & 0.137815 & 0.27563 & 0.862185 \tabularnewline
41 & 0.207533 & 0.415066 & 0.792467 \tabularnewline
42 & 0.186479 & 0.372958 & 0.813521 \tabularnewline
43 & 0.225193 & 0.450386 & 0.774807 \tabularnewline
44 & 0.212715 & 0.425429 & 0.787285 \tabularnewline
45 & 0.22124 & 0.44248 & 0.77876 \tabularnewline
46 & 0.190183 & 0.380366 & 0.809817 \tabularnewline
47 & 0.180615 & 0.361231 & 0.819385 \tabularnewline
48 & 0.151062 & 0.302124 & 0.848938 \tabularnewline
49 & 0.158177 & 0.316354 & 0.841823 \tabularnewline
50 & 0.182733 & 0.365465 & 0.817267 \tabularnewline
51 & 0.282636 & 0.565273 & 0.717364 \tabularnewline
52 & 0.313959 & 0.627918 & 0.686041 \tabularnewline
53 & 0.284715 & 0.56943 & 0.715285 \tabularnewline
54 & 0.290065 & 0.580129 & 0.709935 \tabularnewline
55 & 0.293231 & 0.586463 & 0.706769 \tabularnewline
56 & 0.290816 & 0.581632 & 0.709184 \tabularnewline
57 & 0.401686 & 0.803373 & 0.598314 \tabularnewline
58 & 0.372053 & 0.744106 & 0.627947 \tabularnewline
59 & 0.668362 & 0.663276 & 0.331638 \tabularnewline
60 & 0.719957 & 0.560086 & 0.280043 \tabularnewline
61 & 0.682117 & 0.635766 & 0.317883 \tabularnewline
62 & 0.705486 & 0.589027 & 0.294514 \tabularnewline
63 & 0.697482 & 0.605037 & 0.302518 \tabularnewline
64 & 0.684002 & 0.631997 & 0.315998 \tabularnewline
65 & 0.73371 & 0.532579 & 0.26629 \tabularnewline
66 & 0.779705 & 0.440589 & 0.220295 \tabularnewline
67 & 0.783004 & 0.433992 & 0.216996 \tabularnewline
68 & 0.758775 & 0.48245 & 0.241225 \tabularnewline
69 & 0.743747 & 0.512505 & 0.256253 \tabularnewline
70 & 0.721567 & 0.556867 & 0.278433 \tabularnewline
71 & 0.731269 & 0.537461 & 0.268731 \tabularnewline
72 & 0.702528 & 0.594944 & 0.297472 \tabularnewline
73 & 0.672293 & 0.655414 & 0.327707 \tabularnewline
74 & 0.652572 & 0.694856 & 0.347428 \tabularnewline
75 & 0.625562 & 0.748877 & 0.374438 \tabularnewline
76 & 0.658641 & 0.682717 & 0.341359 \tabularnewline
77 & 0.754695 & 0.490611 & 0.245305 \tabularnewline
78 & 0.737064 & 0.525872 & 0.262936 \tabularnewline
79 & 0.707889 & 0.584223 & 0.292111 \tabularnewline
80 & 0.68887 & 0.622261 & 0.31113 \tabularnewline
81 & 0.681735 & 0.636531 & 0.318265 \tabularnewline
82 & 0.660866 & 0.678268 & 0.339134 \tabularnewline
83 & 0.649598 & 0.700805 & 0.350402 \tabularnewline
84 & 0.614655 & 0.77069 & 0.385345 \tabularnewline
85 & 0.631694 & 0.736613 & 0.368306 \tabularnewline
86 & 0.596582 & 0.806837 & 0.403418 \tabularnewline
87 & 0.721602 & 0.556796 & 0.278398 \tabularnewline
88 & 0.710233 & 0.579535 & 0.289767 \tabularnewline
89 & 0.679082 & 0.641835 & 0.320918 \tabularnewline
90 & 0.65906 & 0.68188 & 0.34094 \tabularnewline
91 & 0.646795 & 0.706409 & 0.353205 \tabularnewline
92 & 0.625777 & 0.748447 & 0.374223 \tabularnewline
93 & 0.62335 & 0.753301 & 0.37665 \tabularnewline
94 & 0.678139 & 0.643722 & 0.321861 \tabularnewline
95 & 0.760382 & 0.479235 & 0.239618 \tabularnewline
96 & 0.741473 & 0.517055 & 0.258527 \tabularnewline
97 & 0.719531 & 0.560938 & 0.280469 \tabularnewline
98 & 0.718101 & 0.563799 & 0.281899 \tabularnewline
99 & 0.695475 & 0.609049 & 0.304525 \tabularnewline
100 & 0.732952 & 0.534095 & 0.267048 \tabularnewline
101 & 0.733431 & 0.533137 & 0.266569 \tabularnewline
102 & 0.789247 & 0.421506 & 0.210753 \tabularnewline
103 & 0.800442 & 0.399117 & 0.199558 \tabularnewline
104 & 0.786791 & 0.426417 & 0.213209 \tabularnewline
105 & 0.75926 & 0.48148 & 0.24074 \tabularnewline
106 & 0.741865 & 0.516271 & 0.258135 \tabularnewline
107 & 0.722579 & 0.554842 & 0.277421 \tabularnewline
108 & 0.778618 & 0.442764 & 0.221382 \tabularnewline
109 & 0.774068 & 0.451863 & 0.225932 \tabularnewline
110 & 0.818317 & 0.363366 & 0.181683 \tabularnewline
111 & 0.89038 & 0.21924 & 0.10962 \tabularnewline
112 & 0.889703 & 0.220593 & 0.110297 \tabularnewline
113 & 0.877254 & 0.245492 & 0.122746 \tabularnewline
114 & 0.863469 & 0.273061 & 0.136531 \tabularnewline
115 & 0.852354 & 0.295291 & 0.147646 \tabularnewline
116 & 0.889887 & 0.220226 & 0.110113 \tabularnewline
117 & 0.907154 & 0.185693 & 0.0928464 \tabularnewline
118 & 0.902868 & 0.194264 & 0.0971321 \tabularnewline
119 & 0.892668 & 0.214665 & 0.107332 \tabularnewline
120 & 0.911863 & 0.176275 & 0.0881374 \tabularnewline
121 & 0.908096 & 0.183809 & 0.0919044 \tabularnewline
122 & 0.912643 & 0.174714 & 0.0873571 \tabularnewline
123 & 0.909347 & 0.181306 & 0.0906529 \tabularnewline
124 & 0.919411 & 0.161179 & 0.0805894 \tabularnewline
125 & 0.922663 & 0.154675 & 0.0773373 \tabularnewline
126 & 0.916911 & 0.166178 & 0.0830891 \tabularnewline
127 & 0.965155 & 0.0696907 & 0.0348454 \tabularnewline
128 & 0.973105 & 0.0537894 & 0.0268947 \tabularnewline
129 & 0.967626 & 0.0647487 & 0.0323744 \tabularnewline
130 & 0.963301 & 0.0733983 & 0.0366992 \tabularnewline
131 & 0.96532 & 0.0693593 & 0.0346797 \tabularnewline
132 & 0.961704 & 0.0765919 & 0.038296 \tabularnewline
133 & 0.956263 & 0.0874734 & 0.0437367 \tabularnewline
134 & 0.951723 & 0.0965532 & 0.0482766 \tabularnewline
135 & 0.948988 & 0.102025 & 0.0510123 \tabularnewline
136 & 0.941253 & 0.117493 & 0.0587466 \tabularnewline
137 & 0.932791 & 0.134419 & 0.0672094 \tabularnewline
138 & 0.921936 & 0.156128 & 0.0780642 \tabularnewline
139 & 0.909367 & 0.181267 & 0.0906333 \tabularnewline
140 & 0.923884 & 0.152231 & 0.0761157 \tabularnewline
141 & 0.91983 & 0.160339 & 0.0801696 \tabularnewline
142 & 0.913035 & 0.173929 & 0.0869645 \tabularnewline
143 & 0.899568 & 0.200863 & 0.100432 \tabularnewline
144 & 0.887894 & 0.224212 & 0.112106 \tabularnewline
145 & 0.900728 & 0.198545 & 0.0992724 \tabularnewline
146 & 0.884711 & 0.230578 & 0.115289 \tabularnewline
147 & 0.895722 & 0.208556 & 0.104278 \tabularnewline
148 & 0.880941 & 0.238119 & 0.119059 \tabularnewline
149 & 0.862621 & 0.274758 & 0.137379 \tabularnewline
150 & 0.847741 & 0.304519 & 0.152259 \tabularnewline
151 & 0.827832 & 0.344336 & 0.172168 \tabularnewline
152 & 0.837267 & 0.325467 & 0.162733 \tabularnewline
153 & 0.814733 & 0.370534 & 0.185267 \tabularnewline
154 & 0.796148 & 0.407704 & 0.203852 \tabularnewline
155 & 0.785619 & 0.428763 & 0.214381 \tabularnewline
156 & 0.913567 & 0.172865 & 0.0864326 \tabularnewline
157 & 0.902521 & 0.194958 & 0.0974788 \tabularnewline
158 & 0.900642 & 0.198716 & 0.099358 \tabularnewline
159 & 0.886567 & 0.226866 & 0.113433 \tabularnewline
160 & 0.875444 & 0.249112 & 0.124556 \tabularnewline
161 & 0.861157 & 0.277687 & 0.138843 \tabularnewline
162 & 0.849612 & 0.300775 & 0.150388 \tabularnewline
163 & 0.833322 & 0.333357 & 0.166678 \tabularnewline
164 & 0.854631 & 0.290737 & 0.145369 \tabularnewline
165 & 0.858021 & 0.283958 & 0.141979 \tabularnewline
166 & 0.852683 & 0.294633 & 0.147317 \tabularnewline
167 & 0.833225 & 0.33355 & 0.166775 \tabularnewline
168 & 0.813993 & 0.372014 & 0.186007 \tabularnewline
169 & 0.974576 & 0.0508482 & 0.0254241 \tabularnewline
170 & 0.969338 & 0.0613236 & 0.0306618 \tabularnewline
171 & 0.968948 & 0.0621037 & 0.0310518 \tabularnewline
172 & 0.963932 & 0.0721353 & 0.0360676 \tabularnewline
173 & 0.963473 & 0.073055 & 0.0365275 \tabularnewline
174 & 0.957904 & 0.0841928 & 0.0420964 \tabularnewline
175 & 0.967143 & 0.0657135 & 0.0328567 \tabularnewline
176 & 0.960378 & 0.0792441 & 0.0396221 \tabularnewline
177 & 0.960675 & 0.0786499 & 0.0393249 \tabularnewline
178 & 0.959515 & 0.0809696 & 0.0404848 \tabularnewline
179 & 0.952834 & 0.0943319 & 0.0471659 \tabularnewline
180 & 0.945603 & 0.108793 & 0.0543967 \tabularnewline
181 & 0.948595 & 0.102809 & 0.0514046 \tabularnewline
182 & 0.939816 & 0.120368 & 0.0601838 \tabularnewline
183 & 0.93925 & 0.1215 & 0.0607498 \tabularnewline
184 & 0.934696 & 0.130608 & 0.0653038 \tabularnewline
185 & 0.94034 & 0.119321 & 0.0596605 \tabularnewline
186 & 0.943139 & 0.113722 & 0.0568612 \tabularnewline
187 & 0.946552 & 0.106895 & 0.0534476 \tabularnewline
188 & 0.946793 & 0.106415 & 0.0532074 \tabularnewline
189 & 0.937327 & 0.125346 & 0.0626731 \tabularnewline
190 & 0.945626 & 0.108748 & 0.0543739 \tabularnewline
191 & 0.934408 & 0.131183 & 0.0655917 \tabularnewline
192 & 0.937811 & 0.124378 & 0.0621891 \tabularnewline
193 & 0.941503 & 0.116994 & 0.0584971 \tabularnewline
194 & 0.942091 & 0.115818 & 0.0579092 \tabularnewline
195 & 0.93249 & 0.135021 & 0.0675103 \tabularnewline
196 & 0.931606 & 0.136789 & 0.0683945 \tabularnewline
197 & 0.919817 & 0.160365 & 0.0801826 \tabularnewline
198 & 0.931777 & 0.136446 & 0.068223 \tabularnewline
199 & 0.936769 & 0.126463 & 0.0632315 \tabularnewline
200 & 0.924433 & 0.151135 & 0.0755674 \tabularnewline
201 & 0.914985 & 0.170029 & 0.0850147 \tabularnewline
202 & 0.916988 & 0.166024 & 0.0830119 \tabularnewline
203 & 0.90082 & 0.198361 & 0.0991803 \tabularnewline
204 & 0.889844 & 0.220312 & 0.110156 \tabularnewline
205 & 0.870219 & 0.259562 & 0.129781 \tabularnewline
206 & 0.864121 & 0.271758 & 0.135879 \tabularnewline
207 & 0.840918 & 0.318165 & 0.159082 \tabularnewline
208 & 0.829515 & 0.34097 & 0.170485 \tabularnewline
209 & 0.805907 & 0.388185 & 0.194093 \tabularnewline
210 & 0.783133 & 0.433735 & 0.216867 \tabularnewline
211 & 0.805589 & 0.388821 & 0.194411 \tabularnewline
212 & 0.803345 & 0.393309 & 0.196655 \tabularnewline
213 & 0.783577 & 0.432846 & 0.216423 \tabularnewline
214 & 0.753882 & 0.492237 & 0.246118 \tabularnewline
215 & 0.732872 & 0.534255 & 0.267128 \tabularnewline
216 & 0.734575 & 0.530851 & 0.265425 \tabularnewline
217 & 0.710128 & 0.579743 & 0.289872 \tabularnewline
218 & 0.673069 & 0.653862 & 0.326931 \tabularnewline
219 & 0.658813 & 0.682374 & 0.341187 \tabularnewline
220 & 0.621987 & 0.756026 & 0.378013 \tabularnewline
221 & 0.595063 & 0.809874 & 0.404937 \tabularnewline
222 & 0.553224 & 0.893552 & 0.446776 \tabularnewline
223 & 0.547841 & 0.904317 & 0.452159 \tabularnewline
224 & 0.549147 & 0.901706 & 0.450853 \tabularnewline
225 & 0.516072 & 0.967857 & 0.483928 \tabularnewline
226 & 0.483823 & 0.967645 & 0.516177 \tabularnewline
227 & 0.455707 & 0.911414 & 0.544293 \tabularnewline
228 & 0.459548 & 0.919097 & 0.540452 \tabularnewline
229 & 0.557904 & 0.884192 & 0.442096 \tabularnewline
230 & 0.513318 & 0.973363 & 0.486682 \tabularnewline
231 & 0.574567 & 0.850865 & 0.425433 \tabularnewline
232 & 0.555769 & 0.888461 & 0.444231 \tabularnewline
233 & 0.632677 & 0.734646 & 0.367323 \tabularnewline
234 & 0.6141 & 0.771799 & 0.3859 \tabularnewline
235 & 0.652085 & 0.695829 & 0.347915 \tabularnewline
236 & 0.761215 & 0.477569 & 0.238785 \tabularnewline
237 & 0.783735 & 0.43253 & 0.216265 \tabularnewline
238 & 0.790287 & 0.419426 & 0.209713 \tabularnewline
239 & 0.791627 & 0.416746 & 0.208373 \tabularnewline
240 & 0.760014 & 0.479971 & 0.239986 \tabularnewline
241 & 0.731831 & 0.536339 & 0.268169 \tabularnewline
242 & 0.692386 & 0.615228 & 0.307614 \tabularnewline
243 & 0.813811 & 0.372377 & 0.186189 \tabularnewline
244 & 0.787458 & 0.425084 & 0.212542 \tabularnewline
245 & 0.746417 & 0.507167 & 0.253583 \tabularnewline
246 & 0.699246 & 0.601509 & 0.300754 \tabularnewline
247 & 0.652813 & 0.694373 & 0.347187 \tabularnewline
248 & 0.620215 & 0.75957 & 0.379785 \tabularnewline
249 & 0.573254 & 0.853493 & 0.426746 \tabularnewline
250 & 0.529183 & 0.941634 & 0.470817 \tabularnewline
251 & 0.468966 & 0.937932 & 0.531034 \tabularnewline
252 & 0.676532 & 0.646937 & 0.323468 \tabularnewline
253 & 0.634742 & 0.730516 & 0.365258 \tabularnewline
254 & 0.574475 & 0.851051 & 0.425525 \tabularnewline
255 & 0.515613 & 0.968774 & 0.484387 \tabularnewline
256 & 0.665827 & 0.668345 & 0.334173 \tabularnewline
257 & 0.597131 & 0.805737 & 0.402869 \tabularnewline
258 & 0.545173 & 0.909653 & 0.454827 \tabularnewline
259 & 0.519348 & 0.961305 & 0.480652 \tabularnewline
260 & 0.504041 & 0.991919 & 0.495959 \tabularnewline
261 & 0.433058 & 0.866117 & 0.566942 \tabularnewline
262 & 0.485933 & 0.971865 & 0.514067 \tabularnewline
263 & 0.427384 & 0.854768 & 0.572616 \tabularnewline
264 & 0.359839 & 0.719678 & 0.640161 \tabularnewline
265 & 0.347142 & 0.694283 & 0.652858 \tabularnewline
266 & 0.891716 & 0.216569 & 0.108284 \tabularnewline
267 & 0.97847 & 0.043061 & 0.0215305 \tabularnewline
268 & 0.968193 & 0.0636147 & 0.0318073 \tabularnewline
269 & 0.954458 & 0.091083 & 0.0455415 \tabularnewline
270 & 0.879271 & 0.241459 & 0.120729 \tabularnewline
271 & 0.952271 & 0.095459 & 0.0477295 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265640&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]16[/C][C]0.973515[/C][C]0.052971[/C][C]0.0264855[/C][/ROW]
[ROW][C]17[/C][C]0.944348[/C][C]0.111304[/C][C]0.055652[/C][/ROW]
[ROW][C]18[/C][C]0.899162[/C][C]0.201675[/C][C]0.100838[/C][/ROW]
[ROW][C]19[/C][C]0.838703[/C][C]0.322593[/C][C]0.161297[/C][/ROW]
[ROW][C]20[/C][C]0.78427[/C][C]0.431459[/C][C]0.21573[/C][/ROW]
[ROW][C]21[/C][C]0.735789[/C][C]0.528423[/C][C]0.264211[/C][/ROW]
[ROW][C]22[/C][C]0.700941[/C][C]0.598119[/C][C]0.299059[/C][/ROW]
[ROW][C]23[/C][C]0.621139[/C][C]0.757721[/C][C]0.378861[/C][/ROW]
[ROW][C]24[/C][C]0.538999[/C][C]0.922002[/C][C]0.461001[/C][/ROW]
[ROW][C]25[/C][C]0.52823[/C][C]0.943539[/C][C]0.47177[/C][/ROW]
[ROW][C]26[/C][C]0.470911[/C][C]0.941823[/C][C]0.529089[/C][/ROW]
[ROW][C]27[/C][C]0.408524[/C][C]0.817048[/C][C]0.591476[/C][/ROW]
[ROW][C]28[/C][C]0.340162[/C][C]0.680324[/C][C]0.659838[/C][/ROW]
[ROW][C]29[/C][C]0.30933[/C][C]0.618659[/C][C]0.69067[/C][/ROW]
[ROW][C]30[/C][C]0.260675[/C][C]0.521351[/C][C]0.739325[/C][/ROW]
[ROW][C]31[/C][C]0.238305[/C][C]0.47661[/C][C]0.761695[/C][/ROW]
[ROW][C]32[/C][C]0.278389[/C][C]0.556779[/C][C]0.721611[/C][/ROW]
[ROW][C]33[/C][C]0.222781[/C][C]0.445562[/C][C]0.777219[/C][/ROW]
[ROW][C]34[/C][C]0.211935[/C][C]0.42387[/C][C]0.788065[/C][/ROW]
[ROW][C]35[/C][C]0.183212[/C][C]0.366425[/C][C]0.816788[/C][/ROW]
[ROW][C]36[/C][C]0.19916[/C][C]0.39832[/C][C]0.80084[/C][/ROW]
[ROW][C]37[/C][C]0.196764[/C][C]0.393528[/C][C]0.803236[/C][/ROW]
[ROW][C]38[/C][C]0.194752[/C][C]0.389504[/C][C]0.805248[/C][/ROW]
[ROW][C]39[/C][C]0.158923[/C][C]0.317846[/C][C]0.841077[/C][/ROW]
[ROW][C]40[/C][C]0.137815[/C][C]0.27563[/C][C]0.862185[/C][/ROW]
[ROW][C]41[/C][C]0.207533[/C][C]0.415066[/C][C]0.792467[/C][/ROW]
[ROW][C]42[/C][C]0.186479[/C][C]0.372958[/C][C]0.813521[/C][/ROW]
[ROW][C]43[/C][C]0.225193[/C][C]0.450386[/C][C]0.774807[/C][/ROW]
[ROW][C]44[/C][C]0.212715[/C][C]0.425429[/C][C]0.787285[/C][/ROW]
[ROW][C]45[/C][C]0.22124[/C][C]0.44248[/C][C]0.77876[/C][/ROW]
[ROW][C]46[/C][C]0.190183[/C][C]0.380366[/C][C]0.809817[/C][/ROW]
[ROW][C]47[/C][C]0.180615[/C][C]0.361231[/C][C]0.819385[/C][/ROW]
[ROW][C]48[/C][C]0.151062[/C][C]0.302124[/C][C]0.848938[/C][/ROW]
[ROW][C]49[/C][C]0.158177[/C][C]0.316354[/C][C]0.841823[/C][/ROW]
[ROW][C]50[/C][C]0.182733[/C][C]0.365465[/C][C]0.817267[/C][/ROW]
[ROW][C]51[/C][C]0.282636[/C][C]0.565273[/C][C]0.717364[/C][/ROW]
[ROW][C]52[/C][C]0.313959[/C][C]0.627918[/C][C]0.686041[/C][/ROW]
[ROW][C]53[/C][C]0.284715[/C][C]0.56943[/C][C]0.715285[/C][/ROW]
[ROW][C]54[/C][C]0.290065[/C][C]0.580129[/C][C]0.709935[/C][/ROW]
[ROW][C]55[/C][C]0.293231[/C][C]0.586463[/C][C]0.706769[/C][/ROW]
[ROW][C]56[/C][C]0.290816[/C][C]0.581632[/C][C]0.709184[/C][/ROW]
[ROW][C]57[/C][C]0.401686[/C][C]0.803373[/C][C]0.598314[/C][/ROW]
[ROW][C]58[/C][C]0.372053[/C][C]0.744106[/C][C]0.627947[/C][/ROW]
[ROW][C]59[/C][C]0.668362[/C][C]0.663276[/C][C]0.331638[/C][/ROW]
[ROW][C]60[/C][C]0.719957[/C][C]0.560086[/C][C]0.280043[/C][/ROW]
[ROW][C]61[/C][C]0.682117[/C][C]0.635766[/C][C]0.317883[/C][/ROW]
[ROW][C]62[/C][C]0.705486[/C][C]0.589027[/C][C]0.294514[/C][/ROW]
[ROW][C]63[/C][C]0.697482[/C][C]0.605037[/C][C]0.302518[/C][/ROW]
[ROW][C]64[/C][C]0.684002[/C][C]0.631997[/C][C]0.315998[/C][/ROW]
[ROW][C]65[/C][C]0.73371[/C][C]0.532579[/C][C]0.26629[/C][/ROW]
[ROW][C]66[/C][C]0.779705[/C][C]0.440589[/C][C]0.220295[/C][/ROW]
[ROW][C]67[/C][C]0.783004[/C][C]0.433992[/C][C]0.216996[/C][/ROW]
[ROW][C]68[/C][C]0.758775[/C][C]0.48245[/C][C]0.241225[/C][/ROW]
[ROW][C]69[/C][C]0.743747[/C][C]0.512505[/C][C]0.256253[/C][/ROW]
[ROW][C]70[/C][C]0.721567[/C][C]0.556867[/C][C]0.278433[/C][/ROW]
[ROW][C]71[/C][C]0.731269[/C][C]0.537461[/C][C]0.268731[/C][/ROW]
[ROW][C]72[/C][C]0.702528[/C][C]0.594944[/C][C]0.297472[/C][/ROW]
[ROW][C]73[/C][C]0.672293[/C][C]0.655414[/C][C]0.327707[/C][/ROW]
[ROW][C]74[/C][C]0.652572[/C][C]0.694856[/C][C]0.347428[/C][/ROW]
[ROW][C]75[/C][C]0.625562[/C][C]0.748877[/C][C]0.374438[/C][/ROW]
[ROW][C]76[/C][C]0.658641[/C][C]0.682717[/C][C]0.341359[/C][/ROW]
[ROW][C]77[/C][C]0.754695[/C][C]0.490611[/C][C]0.245305[/C][/ROW]
[ROW][C]78[/C][C]0.737064[/C][C]0.525872[/C][C]0.262936[/C][/ROW]
[ROW][C]79[/C][C]0.707889[/C][C]0.584223[/C][C]0.292111[/C][/ROW]
[ROW][C]80[/C][C]0.68887[/C][C]0.622261[/C][C]0.31113[/C][/ROW]
[ROW][C]81[/C][C]0.681735[/C][C]0.636531[/C][C]0.318265[/C][/ROW]
[ROW][C]82[/C][C]0.660866[/C][C]0.678268[/C][C]0.339134[/C][/ROW]
[ROW][C]83[/C][C]0.649598[/C][C]0.700805[/C][C]0.350402[/C][/ROW]
[ROW][C]84[/C][C]0.614655[/C][C]0.77069[/C][C]0.385345[/C][/ROW]
[ROW][C]85[/C][C]0.631694[/C][C]0.736613[/C][C]0.368306[/C][/ROW]
[ROW][C]86[/C][C]0.596582[/C][C]0.806837[/C][C]0.403418[/C][/ROW]
[ROW][C]87[/C][C]0.721602[/C][C]0.556796[/C][C]0.278398[/C][/ROW]
[ROW][C]88[/C][C]0.710233[/C][C]0.579535[/C][C]0.289767[/C][/ROW]
[ROW][C]89[/C][C]0.679082[/C][C]0.641835[/C][C]0.320918[/C][/ROW]
[ROW][C]90[/C][C]0.65906[/C][C]0.68188[/C][C]0.34094[/C][/ROW]
[ROW][C]91[/C][C]0.646795[/C][C]0.706409[/C][C]0.353205[/C][/ROW]
[ROW][C]92[/C][C]0.625777[/C][C]0.748447[/C][C]0.374223[/C][/ROW]
[ROW][C]93[/C][C]0.62335[/C][C]0.753301[/C][C]0.37665[/C][/ROW]
[ROW][C]94[/C][C]0.678139[/C][C]0.643722[/C][C]0.321861[/C][/ROW]
[ROW][C]95[/C][C]0.760382[/C][C]0.479235[/C][C]0.239618[/C][/ROW]
[ROW][C]96[/C][C]0.741473[/C][C]0.517055[/C][C]0.258527[/C][/ROW]
[ROW][C]97[/C][C]0.719531[/C][C]0.560938[/C][C]0.280469[/C][/ROW]
[ROW][C]98[/C][C]0.718101[/C][C]0.563799[/C][C]0.281899[/C][/ROW]
[ROW][C]99[/C][C]0.695475[/C][C]0.609049[/C][C]0.304525[/C][/ROW]
[ROW][C]100[/C][C]0.732952[/C][C]0.534095[/C][C]0.267048[/C][/ROW]
[ROW][C]101[/C][C]0.733431[/C][C]0.533137[/C][C]0.266569[/C][/ROW]
[ROW][C]102[/C][C]0.789247[/C][C]0.421506[/C][C]0.210753[/C][/ROW]
[ROW][C]103[/C][C]0.800442[/C][C]0.399117[/C][C]0.199558[/C][/ROW]
[ROW][C]104[/C][C]0.786791[/C][C]0.426417[/C][C]0.213209[/C][/ROW]
[ROW][C]105[/C][C]0.75926[/C][C]0.48148[/C][C]0.24074[/C][/ROW]
[ROW][C]106[/C][C]0.741865[/C][C]0.516271[/C][C]0.258135[/C][/ROW]
[ROW][C]107[/C][C]0.722579[/C][C]0.554842[/C][C]0.277421[/C][/ROW]
[ROW][C]108[/C][C]0.778618[/C][C]0.442764[/C][C]0.221382[/C][/ROW]
[ROW][C]109[/C][C]0.774068[/C][C]0.451863[/C][C]0.225932[/C][/ROW]
[ROW][C]110[/C][C]0.818317[/C][C]0.363366[/C][C]0.181683[/C][/ROW]
[ROW][C]111[/C][C]0.89038[/C][C]0.21924[/C][C]0.10962[/C][/ROW]
[ROW][C]112[/C][C]0.889703[/C][C]0.220593[/C][C]0.110297[/C][/ROW]
[ROW][C]113[/C][C]0.877254[/C][C]0.245492[/C][C]0.122746[/C][/ROW]
[ROW][C]114[/C][C]0.863469[/C][C]0.273061[/C][C]0.136531[/C][/ROW]
[ROW][C]115[/C][C]0.852354[/C][C]0.295291[/C][C]0.147646[/C][/ROW]
[ROW][C]116[/C][C]0.889887[/C][C]0.220226[/C][C]0.110113[/C][/ROW]
[ROW][C]117[/C][C]0.907154[/C][C]0.185693[/C][C]0.0928464[/C][/ROW]
[ROW][C]118[/C][C]0.902868[/C][C]0.194264[/C][C]0.0971321[/C][/ROW]
[ROW][C]119[/C][C]0.892668[/C][C]0.214665[/C][C]0.107332[/C][/ROW]
[ROW][C]120[/C][C]0.911863[/C][C]0.176275[/C][C]0.0881374[/C][/ROW]
[ROW][C]121[/C][C]0.908096[/C][C]0.183809[/C][C]0.0919044[/C][/ROW]
[ROW][C]122[/C][C]0.912643[/C][C]0.174714[/C][C]0.0873571[/C][/ROW]
[ROW][C]123[/C][C]0.909347[/C][C]0.181306[/C][C]0.0906529[/C][/ROW]
[ROW][C]124[/C][C]0.919411[/C][C]0.161179[/C][C]0.0805894[/C][/ROW]
[ROW][C]125[/C][C]0.922663[/C][C]0.154675[/C][C]0.0773373[/C][/ROW]
[ROW][C]126[/C][C]0.916911[/C][C]0.166178[/C][C]0.0830891[/C][/ROW]
[ROW][C]127[/C][C]0.965155[/C][C]0.0696907[/C][C]0.0348454[/C][/ROW]
[ROW][C]128[/C][C]0.973105[/C][C]0.0537894[/C][C]0.0268947[/C][/ROW]
[ROW][C]129[/C][C]0.967626[/C][C]0.0647487[/C][C]0.0323744[/C][/ROW]
[ROW][C]130[/C][C]0.963301[/C][C]0.0733983[/C][C]0.0366992[/C][/ROW]
[ROW][C]131[/C][C]0.96532[/C][C]0.0693593[/C][C]0.0346797[/C][/ROW]
[ROW][C]132[/C][C]0.961704[/C][C]0.0765919[/C][C]0.038296[/C][/ROW]
[ROW][C]133[/C][C]0.956263[/C][C]0.0874734[/C][C]0.0437367[/C][/ROW]
[ROW][C]134[/C][C]0.951723[/C][C]0.0965532[/C][C]0.0482766[/C][/ROW]
[ROW][C]135[/C][C]0.948988[/C][C]0.102025[/C][C]0.0510123[/C][/ROW]
[ROW][C]136[/C][C]0.941253[/C][C]0.117493[/C][C]0.0587466[/C][/ROW]
[ROW][C]137[/C][C]0.932791[/C][C]0.134419[/C][C]0.0672094[/C][/ROW]
[ROW][C]138[/C][C]0.921936[/C][C]0.156128[/C][C]0.0780642[/C][/ROW]
[ROW][C]139[/C][C]0.909367[/C][C]0.181267[/C][C]0.0906333[/C][/ROW]
[ROW][C]140[/C][C]0.923884[/C][C]0.152231[/C][C]0.0761157[/C][/ROW]
[ROW][C]141[/C][C]0.91983[/C][C]0.160339[/C][C]0.0801696[/C][/ROW]
[ROW][C]142[/C][C]0.913035[/C][C]0.173929[/C][C]0.0869645[/C][/ROW]
[ROW][C]143[/C][C]0.899568[/C][C]0.200863[/C][C]0.100432[/C][/ROW]
[ROW][C]144[/C][C]0.887894[/C][C]0.224212[/C][C]0.112106[/C][/ROW]
[ROW][C]145[/C][C]0.900728[/C][C]0.198545[/C][C]0.0992724[/C][/ROW]
[ROW][C]146[/C][C]0.884711[/C][C]0.230578[/C][C]0.115289[/C][/ROW]
[ROW][C]147[/C][C]0.895722[/C][C]0.208556[/C][C]0.104278[/C][/ROW]
[ROW][C]148[/C][C]0.880941[/C][C]0.238119[/C][C]0.119059[/C][/ROW]
[ROW][C]149[/C][C]0.862621[/C][C]0.274758[/C][C]0.137379[/C][/ROW]
[ROW][C]150[/C][C]0.847741[/C][C]0.304519[/C][C]0.152259[/C][/ROW]
[ROW][C]151[/C][C]0.827832[/C][C]0.344336[/C][C]0.172168[/C][/ROW]
[ROW][C]152[/C][C]0.837267[/C][C]0.325467[/C][C]0.162733[/C][/ROW]
[ROW][C]153[/C][C]0.814733[/C][C]0.370534[/C][C]0.185267[/C][/ROW]
[ROW][C]154[/C][C]0.796148[/C][C]0.407704[/C][C]0.203852[/C][/ROW]
[ROW][C]155[/C][C]0.785619[/C][C]0.428763[/C][C]0.214381[/C][/ROW]
[ROW][C]156[/C][C]0.913567[/C][C]0.172865[/C][C]0.0864326[/C][/ROW]
[ROW][C]157[/C][C]0.902521[/C][C]0.194958[/C][C]0.0974788[/C][/ROW]
[ROW][C]158[/C][C]0.900642[/C][C]0.198716[/C][C]0.099358[/C][/ROW]
[ROW][C]159[/C][C]0.886567[/C][C]0.226866[/C][C]0.113433[/C][/ROW]
[ROW][C]160[/C][C]0.875444[/C][C]0.249112[/C][C]0.124556[/C][/ROW]
[ROW][C]161[/C][C]0.861157[/C][C]0.277687[/C][C]0.138843[/C][/ROW]
[ROW][C]162[/C][C]0.849612[/C][C]0.300775[/C][C]0.150388[/C][/ROW]
[ROW][C]163[/C][C]0.833322[/C][C]0.333357[/C][C]0.166678[/C][/ROW]
[ROW][C]164[/C][C]0.854631[/C][C]0.290737[/C][C]0.145369[/C][/ROW]
[ROW][C]165[/C][C]0.858021[/C][C]0.283958[/C][C]0.141979[/C][/ROW]
[ROW][C]166[/C][C]0.852683[/C][C]0.294633[/C][C]0.147317[/C][/ROW]
[ROW][C]167[/C][C]0.833225[/C][C]0.33355[/C][C]0.166775[/C][/ROW]
[ROW][C]168[/C][C]0.813993[/C][C]0.372014[/C][C]0.186007[/C][/ROW]
[ROW][C]169[/C][C]0.974576[/C][C]0.0508482[/C][C]0.0254241[/C][/ROW]
[ROW][C]170[/C][C]0.969338[/C][C]0.0613236[/C][C]0.0306618[/C][/ROW]
[ROW][C]171[/C][C]0.968948[/C][C]0.0621037[/C][C]0.0310518[/C][/ROW]
[ROW][C]172[/C][C]0.963932[/C][C]0.0721353[/C][C]0.0360676[/C][/ROW]
[ROW][C]173[/C][C]0.963473[/C][C]0.073055[/C][C]0.0365275[/C][/ROW]
[ROW][C]174[/C][C]0.957904[/C][C]0.0841928[/C][C]0.0420964[/C][/ROW]
[ROW][C]175[/C][C]0.967143[/C][C]0.0657135[/C][C]0.0328567[/C][/ROW]
[ROW][C]176[/C][C]0.960378[/C][C]0.0792441[/C][C]0.0396221[/C][/ROW]
[ROW][C]177[/C][C]0.960675[/C][C]0.0786499[/C][C]0.0393249[/C][/ROW]
[ROW][C]178[/C][C]0.959515[/C][C]0.0809696[/C][C]0.0404848[/C][/ROW]
[ROW][C]179[/C][C]0.952834[/C][C]0.0943319[/C][C]0.0471659[/C][/ROW]
[ROW][C]180[/C][C]0.945603[/C][C]0.108793[/C][C]0.0543967[/C][/ROW]
[ROW][C]181[/C][C]0.948595[/C][C]0.102809[/C][C]0.0514046[/C][/ROW]
[ROW][C]182[/C][C]0.939816[/C][C]0.120368[/C][C]0.0601838[/C][/ROW]
[ROW][C]183[/C][C]0.93925[/C][C]0.1215[/C][C]0.0607498[/C][/ROW]
[ROW][C]184[/C][C]0.934696[/C][C]0.130608[/C][C]0.0653038[/C][/ROW]
[ROW][C]185[/C][C]0.94034[/C][C]0.119321[/C][C]0.0596605[/C][/ROW]
[ROW][C]186[/C][C]0.943139[/C][C]0.113722[/C][C]0.0568612[/C][/ROW]
[ROW][C]187[/C][C]0.946552[/C][C]0.106895[/C][C]0.0534476[/C][/ROW]
[ROW][C]188[/C][C]0.946793[/C][C]0.106415[/C][C]0.0532074[/C][/ROW]
[ROW][C]189[/C][C]0.937327[/C][C]0.125346[/C][C]0.0626731[/C][/ROW]
[ROW][C]190[/C][C]0.945626[/C][C]0.108748[/C][C]0.0543739[/C][/ROW]
[ROW][C]191[/C][C]0.934408[/C][C]0.131183[/C][C]0.0655917[/C][/ROW]
[ROW][C]192[/C][C]0.937811[/C][C]0.124378[/C][C]0.0621891[/C][/ROW]
[ROW][C]193[/C][C]0.941503[/C][C]0.116994[/C][C]0.0584971[/C][/ROW]
[ROW][C]194[/C][C]0.942091[/C][C]0.115818[/C][C]0.0579092[/C][/ROW]
[ROW][C]195[/C][C]0.93249[/C][C]0.135021[/C][C]0.0675103[/C][/ROW]
[ROW][C]196[/C][C]0.931606[/C][C]0.136789[/C][C]0.0683945[/C][/ROW]
[ROW][C]197[/C][C]0.919817[/C][C]0.160365[/C][C]0.0801826[/C][/ROW]
[ROW][C]198[/C][C]0.931777[/C][C]0.136446[/C][C]0.068223[/C][/ROW]
[ROW][C]199[/C][C]0.936769[/C][C]0.126463[/C][C]0.0632315[/C][/ROW]
[ROW][C]200[/C][C]0.924433[/C][C]0.151135[/C][C]0.0755674[/C][/ROW]
[ROW][C]201[/C][C]0.914985[/C][C]0.170029[/C][C]0.0850147[/C][/ROW]
[ROW][C]202[/C][C]0.916988[/C][C]0.166024[/C][C]0.0830119[/C][/ROW]
[ROW][C]203[/C][C]0.90082[/C][C]0.198361[/C][C]0.0991803[/C][/ROW]
[ROW][C]204[/C][C]0.889844[/C][C]0.220312[/C][C]0.110156[/C][/ROW]
[ROW][C]205[/C][C]0.870219[/C][C]0.259562[/C][C]0.129781[/C][/ROW]
[ROW][C]206[/C][C]0.864121[/C][C]0.271758[/C][C]0.135879[/C][/ROW]
[ROW][C]207[/C][C]0.840918[/C][C]0.318165[/C][C]0.159082[/C][/ROW]
[ROW][C]208[/C][C]0.829515[/C][C]0.34097[/C][C]0.170485[/C][/ROW]
[ROW][C]209[/C][C]0.805907[/C][C]0.388185[/C][C]0.194093[/C][/ROW]
[ROW][C]210[/C][C]0.783133[/C][C]0.433735[/C][C]0.216867[/C][/ROW]
[ROW][C]211[/C][C]0.805589[/C][C]0.388821[/C][C]0.194411[/C][/ROW]
[ROW][C]212[/C][C]0.803345[/C][C]0.393309[/C][C]0.196655[/C][/ROW]
[ROW][C]213[/C][C]0.783577[/C][C]0.432846[/C][C]0.216423[/C][/ROW]
[ROW][C]214[/C][C]0.753882[/C][C]0.492237[/C][C]0.246118[/C][/ROW]
[ROW][C]215[/C][C]0.732872[/C][C]0.534255[/C][C]0.267128[/C][/ROW]
[ROW][C]216[/C][C]0.734575[/C][C]0.530851[/C][C]0.265425[/C][/ROW]
[ROW][C]217[/C][C]0.710128[/C][C]0.579743[/C][C]0.289872[/C][/ROW]
[ROW][C]218[/C][C]0.673069[/C][C]0.653862[/C][C]0.326931[/C][/ROW]
[ROW][C]219[/C][C]0.658813[/C][C]0.682374[/C][C]0.341187[/C][/ROW]
[ROW][C]220[/C][C]0.621987[/C][C]0.756026[/C][C]0.378013[/C][/ROW]
[ROW][C]221[/C][C]0.595063[/C][C]0.809874[/C][C]0.404937[/C][/ROW]
[ROW][C]222[/C][C]0.553224[/C][C]0.893552[/C][C]0.446776[/C][/ROW]
[ROW][C]223[/C][C]0.547841[/C][C]0.904317[/C][C]0.452159[/C][/ROW]
[ROW][C]224[/C][C]0.549147[/C][C]0.901706[/C][C]0.450853[/C][/ROW]
[ROW][C]225[/C][C]0.516072[/C][C]0.967857[/C][C]0.483928[/C][/ROW]
[ROW][C]226[/C][C]0.483823[/C][C]0.967645[/C][C]0.516177[/C][/ROW]
[ROW][C]227[/C][C]0.455707[/C][C]0.911414[/C][C]0.544293[/C][/ROW]
[ROW][C]228[/C][C]0.459548[/C][C]0.919097[/C][C]0.540452[/C][/ROW]
[ROW][C]229[/C][C]0.557904[/C][C]0.884192[/C][C]0.442096[/C][/ROW]
[ROW][C]230[/C][C]0.513318[/C][C]0.973363[/C][C]0.486682[/C][/ROW]
[ROW][C]231[/C][C]0.574567[/C][C]0.850865[/C][C]0.425433[/C][/ROW]
[ROW][C]232[/C][C]0.555769[/C][C]0.888461[/C][C]0.444231[/C][/ROW]
[ROW][C]233[/C][C]0.632677[/C][C]0.734646[/C][C]0.367323[/C][/ROW]
[ROW][C]234[/C][C]0.6141[/C][C]0.771799[/C][C]0.3859[/C][/ROW]
[ROW][C]235[/C][C]0.652085[/C][C]0.695829[/C][C]0.347915[/C][/ROW]
[ROW][C]236[/C][C]0.761215[/C][C]0.477569[/C][C]0.238785[/C][/ROW]
[ROW][C]237[/C][C]0.783735[/C][C]0.43253[/C][C]0.216265[/C][/ROW]
[ROW][C]238[/C][C]0.790287[/C][C]0.419426[/C][C]0.209713[/C][/ROW]
[ROW][C]239[/C][C]0.791627[/C][C]0.416746[/C][C]0.208373[/C][/ROW]
[ROW][C]240[/C][C]0.760014[/C][C]0.479971[/C][C]0.239986[/C][/ROW]
[ROW][C]241[/C][C]0.731831[/C][C]0.536339[/C][C]0.268169[/C][/ROW]
[ROW][C]242[/C][C]0.692386[/C][C]0.615228[/C][C]0.307614[/C][/ROW]
[ROW][C]243[/C][C]0.813811[/C][C]0.372377[/C][C]0.186189[/C][/ROW]
[ROW][C]244[/C][C]0.787458[/C][C]0.425084[/C][C]0.212542[/C][/ROW]
[ROW][C]245[/C][C]0.746417[/C][C]0.507167[/C][C]0.253583[/C][/ROW]
[ROW][C]246[/C][C]0.699246[/C][C]0.601509[/C][C]0.300754[/C][/ROW]
[ROW][C]247[/C][C]0.652813[/C][C]0.694373[/C][C]0.347187[/C][/ROW]
[ROW][C]248[/C][C]0.620215[/C][C]0.75957[/C][C]0.379785[/C][/ROW]
[ROW][C]249[/C][C]0.573254[/C][C]0.853493[/C][C]0.426746[/C][/ROW]
[ROW][C]250[/C][C]0.529183[/C][C]0.941634[/C][C]0.470817[/C][/ROW]
[ROW][C]251[/C][C]0.468966[/C][C]0.937932[/C][C]0.531034[/C][/ROW]
[ROW][C]252[/C][C]0.676532[/C][C]0.646937[/C][C]0.323468[/C][/ROW]
[ROW][C]253[/C][C]0.634742[/C][C]0.730516[/C][C]0.365258[/C][/ROW]
[ROW][C]254[/C][C]0.574475[/C][C]0.851051[/C][C]0.425525[/C][/ROW]
[ROW][C]255[/C][C]0.515613[/C][C]0.968774[/C][C]0.484387[/C][/ROW]
[ROW][C]256[/C][C]0.665827[/C][C]0.668345[/C][C]0.334173[/C][/ROW]
[ROW][C]257[/C][C]0.597131[/C][C]0.805737[/C][C]0.402869[/C][/ROW]
[ROW][C]258[/C][C]0.545173[/C][C]0.909653[/C][C]0.454827[/C][/ROW]
[ROW][C]259[/C][C]0.519348[/C][C]0.961305[/C][C]0.480652[/C][/ROW]
[ROW][C]260[/C][C]0.504041[/C][C]0.991919[/C][C]0.495959[/C][/ROW]
[ROW][C]261[/C][C]0.433058[/C][C]0.866117[/C][C]0.566942[/C][/ROW]
[ROW][C]262[/C][C]0.485933[/C][C]0.971865[/C][C]0.514067[/C][/ROW]
[ROW][C]263[/C][C]0.427384[/C][C]0.854768[/C][C]0.572616[/C][/ROW]
[ROW][C]264[/C][C]0.359839[/C][C]0.719678[/C][C]0.640161[/C][/ROW]
[ROW][C]265[/C][C]0.347142[/C][C]0.694283[/C][C]0.652858[/C][/ROW]
[ROW][C]266[/C][C]0.891716[/C][C]0.216569[/C][C]0.108284[/C][/ROW]
[ROW][C]267[/C][C]0.97847[/C][C]0.043061[/C][C]0.0215305[/C][/ROW]
[ROW][C]268[/C][C]0.968193[/C][C]0.0636147[/C][C]0.0318073[/C][/ROW]
[ROW][C]269[/C][C]0.954458[/C][C]0.091083[/C][C]0.0455415[/C][/ROW]
[ROW][C]270[/C][C]0.879271[/C][C]0.241459[/C][C]0.120729[/C][/ROW]
[ROW][C]271[/C][C]0.952271[/C][C]0.095459[/C][C]0.0477295[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265640&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265640&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-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
160.9735150.0529710.0264855
170.9443480.1113040.055652
180.8991620.2016750.100838
190.8387030.3225930.161297
200.784270.4314590.21573
210.7357890.5284230.264211
220.7009410.5981190.299059
230.6211390.7577210.378861
240.5389990.9220020.461001
250.528230.9435390.47177
260.4709110.9418230.529089
270.4085240.8170480.591476
280.3401620.6803240.659838
290.309330.6186590.69067
300.2606750.5213510.739325
310.2383050.476610.761695
320.2783890.5567790.721611
330.2227810.4455620.777219
340.2119350.423870.788065
350.1832120.3664250.816788
360.199160.398320.80084
370.1967640.3935280.803236
380.1947520.3895040.805248
390.1589230.3178460.841077
400.1378150.275630.862185
410.2075330.4150660.792467
420.1864790.3729580.813521
430.2251930.4503860.774807
440.2127150.4254290.787285
450.221240.442480.77876
460.1901830.3803660.809817
470.1806150.3612310.819385
480.1510620.3021240.848938
490.1581770.3163540.841823
500.1827330.3654650.817267
510.2826360.5652730.717364
520.3139590.6279180.686041
530.2847150.569430.715285
540.2900650.5801290.709935
550.2932310.5864630.706769
560.2908160.5816320.709184
570.4016860.8033730.598314
580.3720530.7441060.627947
590.6683620.6632760.331638
600.7199570.5600860.280043
610.6821170.6357660.317883
620.7054860.5890270.294514
630.6974820.6050370.302518
640.6840020.6319970.315998
650.733710.5325790.26629
660.7797050.4405890.220295
670.7830040.4339920.216996
680.7587750.482450.241225
690.7437470.5125050.256253
700.7215670.5568670.278433
710.7312690.5374610.268731
720.7025280.5949440.297472
730.6722930.6554140.327707
740.6525720.6948560.347428
750.6255620.7488770.374438
760.6586410.6827170.341359
770.7546950.4906110.245305
780.7370640.5258720.262936
790.7078890.5842230.292111
800.688870.6222610.31113
810.6817350.6365310.318265
820.6608660.6782680.339134
830.6495980.7008050.350402
840.6146550.770690.385345
850.6316940.7366130.368306
860.5965820.8068370.403418
870.7216020.5567960.278398
880.7102330.5795350.289767
890.6790820.6418350.320918
900.659060.681880.34094
910.6467950.7064090.353205
920.6257770.7484470.374223
930.623350.7533010.37665
940.6781390.6437220.321861
950.7603820.4792350.239618
960.7414730.5170550.258527
970.7195310.5609380.280469
980.7181010.5637990.281899
990.6954750.6090490.304525
1000.7329520.5340950.267048
1010.7334310.5331370.266569
1020.7892470.4215060.210753
1030.8004420.3991170.199558
1040.7867910.4264170.213209
1050.759260.481480.24074
1060.7418650.5162710.258135
1070.7225790.5548420.277421
1080.7786180.4427640.221382
1090.7740680.4518630.225932
1100.8183170.3633660.181683
1110.890380.219240.10962
1120.8897030.2205930.110297
1130.8772540.2454920.122746
1140.8634690.2730610.136531
1150.8523540.2952910.147646
1160.8898870.2202260.110113
1170.9071540.1856930.0928464
1180.9028680.1942640.0971321
1190.8926680.2146650.107332
1200.9118630.1762750.0881374
1210.9080960.1838090.0919044
1220.9126430.1747140.0873571
1230.9093470.1813060.0906529
1240.9194110.1611790.0805894
1250.9226630.1546750.0773373
1260.9169110.1661780.0830891
1270.9651550.06969070.0348454
1280.9731050.05378940.0268947
1290.9676260.06474870.0323744
1300.9633010.07339830.0366992
1310.965320.06935930.0346797
1320.9617040.07659190.038296
1330.9562630.08747340.0437367
1340.9517230.09655320.0482766
1350.9489880.1020250.0510123
1360.9412530.1174930.0587466
1370.9327910.1344190.0672094
1380.9219360.1561280.0780642
1390.9093670.1812670.0906333
1400.9238840.1522310.0761157
1410.919830.1603390.0801696
1420.9130350.1739290.0869645
1430.8995680.2008630.100432
1440.8878940.2242120.112106
1450.9007280.1985450.0992724
1460.8847110.2305780.115289
1470.8957220.2085560.104278
1480.8809410.2381190.119059
1490.8626210.2747580.137379
1500.8477410.3045190.152259
1510.8278320.3443360.172168
1520.8372670.3254670.162733
1530.8147330.3705340.185267
1540.7961480.4077040.203852
1550.7856190.4287630.214381
1560.9135670.1728650.0864326
1570.9025210.1949580.0974788
1580.9006420.1987160.099358
1590.8865670.2268660.113433
1600.8754440.2491120.124556
1610.8611570.2776870.138843
1620.8496120.3007750.150388
1630.8333220.3333570.166678
1640.8546310.2907370.145369
1650.8580210.2839580.141979
1660.8526830.2946330.147317
1670.8332250.333550.166775
1680.8139930.3720140.186007
1690.9745760.05084820.0254241
1700.9693380.06132360.0306618
1710.9689480.06210370.0310518
1720.9639320.07213530.0360676
1730.9634730.0730550.0365275
1740.9579040.08419280.0420964
1750.9671430.06571350.0328567
1760.9603780.07924410.0396221
1770.9606750.07864990.0393249
1780.9595150.08096960.0404848
1790.9528340.09433190.0471659
1800.9456030.1087930.0543967
1810.9485950.1028090.0514046
1820.9398160.1203680.0601838
1830.939250.12150.0607498
1840.9346960.1306080.0653038
1850.940340.1193210.0596605
1860.9431390.1137220.0568612
1870.9465520.1068950.0534476
1880.9467930.1064150.0532074
1890.9373270.1253460.0626731
1900.9456260.1087480.0543739
1910.9344080.1311830.0655917
1920.9378110.1243780.0621891
1930.9415030.1169940.0584971
1940.9420910.1158180.0579092
1950.932490.1350210.0675103
1960.9316060.1367890.0683945
1970.9198170.1603650.0801826
1980.9317770.1364460.068223
1990.9367690.1264630.0632315
2000.9244330.1511350.0755674
2010.9149850.1700290.0850147
2020.9169880.1660240.0830119
2030.900820.1983610.0991803
2040.8898440.2203120.110156
2050.8702190.2595620.129781
2060.8641210.2717580.135879
2070.8409180.3181650.159082
2080.8295150.340970.170485
2090.8059070.3881850.194093
2100.7831330.4337350.216867
2110.8055890.3888210.194411
2120.8033450.3933090.196655
2130.7835770.4328460.216423
2140.7538820.4922370.246118
2150.7328720.5342550.267128
2160.7345750.5308510.265425
2170.7101280.5797430.289872
2180.6730690.6538620.326931
2190.6588130.6823740.341187
2200.6219870.7560260.378013
2210.5950630.8098740.404937
2220.5532240.8935520.446776
2230.5478410.9043170.452159
2240.5491470.9017060.450853
2250.5160720.9678570.483928
2260.4838230.9676450.516177
2270.4557070.9114140.544293
2280.4595480.9190970.540452
2290.5579040.8841920.442096
2300.5133180.9733630.486682
2310.5745670.8508650.425433
2320.5557690.8884610.444231
2330.6326770.7346460.367323
2340.61410.7717990.3859
2350.6520850.6958290.347915
2360.7612150.4775690.238785
2370.7837350.432530.216265
2380.7902870.4194260.209713
2390.7916270.4167460.208373
2400.7600140.4799710.239986
2410.7318310.5363390.268169
2420.6923860.6152280.307614
2430.8138110.3723770.186189
2440.7874580.4250840.212542
2450.7464170.5071670.253583
2460.6992460.6015090.300754
2470.6528130.6943730.347187
2480.6202150.759570.379785
2490.5732540.8534930.426746
2500.5291830.9416340.470817
2510.4689660.9379320.531034
2520.6765320.6469370.323468
2530.6347420.7305160.365258
2540.5744750.8510510.425525
2550.5156130.9687740.484387
2560.6658270.6683450.334173
2570.5971310.8057370.402869
2580.5451730.9096530.454827
2590.5193480.9613050.480652
2600.5040410.9919190.495959
2610.4330580.8661170.566942
2620.4859330.9718650.514067
2630.4273840.8547680.572616
2640.3598390.7196780.640161
2650.3471420.6942830.652858
2660.8917160.2165690.108284
2670.978470.0430610.0215305
2680.9681930.06361470.0318073
2690.9544580.0910830.0455415
2700.8792710.2414590.120729
2710.9522710.0954590.0477295







Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level10.00390625OK
10% type I error level240.09375OK

\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 & 0 & 0 & OK \tabularnewline
5% type I error level & 1 & 0.00390625 & OK \tabularnewline
10% type I error level & 24 & 0.09375 & OK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265640&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]0[/C][C]0[/C][C]OK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]1[/C][C]0.00390625[/C][C]OK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]24[/C][C]0.09375[/C][C]OK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265640&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265640&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 testsOK/NOK
1% type I error level00OK
5% type I error level10.00390625OK
10% type I error level240.09375OK



Parameters (Session):
par1 = 13 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;
Parameters (R input):
par1 = 13 ; 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$coefficients[i,1] > 0) myeq <- paste(myeq, '+', '')
myeq <- paste(myeq, signif(mysum$coefficients[i,1],6), sep=' ')
if (rownames(mysum$coefficients)[i] != '(Intercept)') {
myeq <- paste(myeq, rownames(mysum$coefficients)[i], sep='')
if (rownames(mysum$coefficients)[i] != 't') myeq <- paste(myeq, '[t]', sep='')
}
}
myeq <- paste(myeq, ' + e[t]')
a<-table.row.start(a)
a<-table.element(a, myeq)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable1.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,hyperlink('ols1.htm','Multiple Linear Regression - Ordinary Least Squares',''), 6, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Variable',header=TRUE)
a<-table.element(a,'Parameter',header=TRUE)
a<-table.element(a,'S.D.',header=TRUE)
a<-table.element(a,'T-STAT
H0: parameter = 0',header=TRUE)
a<-table.element(a,'2-tail p-value',header=TRUE)
a<-table.element(a,'1-tail p-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:k){
a<-table.row.start(a)
a<-table.element(a,rownames(mysum$coefficients)[i],header=TRUE)
a<-table.element(a,signif(mysum$coefficients[i,1],6))
a<-table.element(a, signif(mysum$coefficients[i,2],6))
a<-table.element(a, signif(mysum$coefficients[i,3],4))
a<-table.element(a, signif(mysum$coefficients[i,4],6))
a<-table.element(a, signif(mysum$coefficients[i,4]/2,6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable2.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Regression Statistics', 2, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Multiple R',1,TRUE)
a<-table.element(a, signif(sqrt(mysum$r.squared),6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'R-squared',1,TRUE)
a<-table.element(a, signif(mysum$r.squared,6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Adjusted R-squared',1,TRUE)
a<-table.element(a, signif(mysum$adj.r.squared,6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (value)',1,TRUE)
a<-table.element(a, signif(mysum$fstatistic[1],6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (DF numerator)',1,TRUE)
a<-table.element(a, signif(mysum$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$fstatistic[3],6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'p-value',1,TRUE)
a<-table.element(a, signif(1-pf(mysum$fstatistic[1],mysum$fstatistic[2],mysum$fstatistic[3]),6))
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, signif(mysum$sigma,6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Sum Squared Residuals',1,TRUE)
a<-table.element(a, signif(sum(myerror*myerror),6))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable3.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Actuals, Interpolation, and Residuals', 4, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Time or Index', 1, TRUE)
a<-table.element(a, 'Actuals', 1, TRUE)
a<-table.element(a, 'Interpolation
Forecast', 1, TRUE)
a<-table.element(a, 'Residuals
Prediction Error', 1, TRUE)
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,i, 1, TRUE)
a<-table.element(a,signif(x[i],6))
a<-table.element(a,signif(x[i]-mysum$resid[i],6))
a<-table.element(a,signif(mysum$resid[i],6))
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,signif(gqarr[mypoint-kp3+1,1],6))
a<-table.element(a,signif(gqarr[mypoint-kp3+1,2],6))
a<-table.element(a,signif(gqarr[mypoint-kp3+1,3],6))
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,signif(numsignificant1/numgqtests,6))
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')
}