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Author

*The author of this computation has been verified*

R Software Module

rwasp_multipleregression.wasp

Title produced by software

Multiple Regression

Date of computation

Thu, 04 Dec 2014 13:43:18 +0000

Cite this page as follows

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Dec/04/t1417700648u237zhw0319glw8.htm/, Retrieved Thu, 16 May 2024 09:14:32 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=263271, Retrieved Thu, 16 May 2024 09:14:32 +0000

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User-defined keywords

Estimated Impact

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

-       [Multiple Regression] [Paper statistiek ...] [2014-12-04 13:43:18] [0a6fc2c777821367d2239c664b701a36] [Current]

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2011	0	0	26	50	13	12	21	149	96	86	12,9
2011	0	1	57	62	8	8	22	139	70	70	12,2
2011	0	0	37	54	14	11	22	148	88	71	12,8
2011	0	1	67	71	16	13	18	158	114	108	7,4
2011	0	1	43	54	14	11	23	128	69	64	6,7
2011	0	1	52	65	13	10	12	224	176	119	12,6
2011	0	0	52	73	15	7	20	159	114	97	14,8
2011	0	1	43	52	13	10	22	105	121	129	13,3
2011	0	1	84	84	20	15	21	159	110	153	11,1
2011	0	1	67	42	17	12	19	167	158	78	8,2
2011	0	1	49	66	15	12	22	165	116	80	11,4
2011	0	1	70	65	16	10	15	159	181	99	6,4
2011	0	1	52	78	12	10	20	119	77	68	10,6
2011	0	0	58	73	17	14	19	176	141	147	12,0
2011	0	0	68	75	11	6	18	54	35	40	6,3
2011	1	0	62	72	16	12	15	91	80	57	11,3
2011	0	1	43	66	16	14	20	163	152	120	11,9
2011	0	0	56	70	15	11	21	124	97	71	9,3
2011	1	1	56	61	13	8	21	137	99	84	9,6
2011	0	0	74	81	14	12	15	121	84	68	10,0
2011	0	1	65	71	19	15	16	153	68	55	6,4
2011	0	1	63	69	16	13	23	148	101	137	13,8
2011	0	0	58	71	17	11	21	221	107	79	10,8
2011	0	1	57	72	10	12	18	188	88	116	13,8
2011	0	1	63	68	15	7	25	149	112	101	11,7
2011	0	1	53	70	14	11	9	244	171	111	10,9
2011	1	1	57	68	14	7	30	148	137	189	16,1
2011	1	0	51	61	16	12	20	92	77	66	13,4
2011	0	1	64	67	15	12	23	150	66	81	9,9
2011	0	0	53	76	17	13	16	153	93	63	11,5
2011	0	0	29	70	14	9	16	94	105	69	8,3
2011	0	0	54	60	16	11	19	156	131	71	11,7
2011	0	1	58	72	15	12	25	132	102	64	9,0
2011	0	1	43	69	16	15	18	161	161	143	9,7
2011	0	1	51	71	16	12	23	105	120	85	10,8
2011	0	1	53	62	10	6	21	97	127	86	10,3
2011	0	0	54	70	8	5	10	151	77	55	10,4
2011	1	1	56	64	17	13	14	131	108	69	12,7
2011	0	1	61	58	14	11	22	166	85	120	9,3
2011	0	0	47	76	10	6	26	157	168	96	11,8
2011	0	1	39	52	14	12	23	111	48	60	5,9
2011	0	1	48	59	12	10	23	145	152	95	11,4
2011	0	1	50	68	16	6	24	162	75	100	13,0
2011	0	1	35	76	16	12	24	163	107	68	10,8
2011	1	1	30	65	16	11	18	59	62	57	12,3
2011	0	0	68	67	8	6	23	187	121	105	11,3
2011	0	1	49	59	16	12	15	109	124	85	11,8
2011	1	1	61	69	15	12	19	90	72	103	7,9
2011	0	0	67	76	8	8	16	105	40	57	12,7
2011	1	1	47	63	13	10	25	83	58	51	12,3
2011	1	1	56	75	14	11	23	116	97	69	11,6
2011	1	1	50	63	13	7	17	42	88	41	6,7
2011	0	1	43	60	16	12	19	148	126	49	10,9
2011	1	1	67	73	19	13	21	155	104	50	12,1
2011	0	1	62	63	19	14	18	125	148	93	13,3
2011	0	1	57	70	14	12	27	116	146	58	10,1
2011	1	0	41	75	15	6	21	128	80	54	5,7
2011	0	1	54	66	13	14	13	138	97	74	14,3
2011	1	0	45	63	10	10	8	49	25	15	8,0
2011	1	1	48	63	16	12	29	96	99	69	13,3
2011	0	1	61	64	15	11	28	164	118	107	9,3
2011	0	0	56	70	11	10	23	162	58	65	12,5
2011	0	0	41	75	9	7	21	99	63	58	7,6
2011	0	1	43	61	16	12	19	202	139	107	15,9
2011	0	0	53	60	12	7	19	186	50	70	9,2
2011	1	1	44	62	12	12	20	66	60	53	9,1
2011	0	0	66	73	14	12	18	183	152	136	11,1
2011	0	1	58	61	14	10	19	214	142	126	13,0
2011	0	1	46	66	13	10	17	188	94	95	14,5
2011	1	0	37	64	15	12	19	104	66	69	12,2
2011	0	0	51	59	17	12	25	177	127	136	12,3
2011	0	0	51	64	14	12	19	126	67	58	11,4
2011	1	0	56	60	11	8	22	76	90	59	8,8
2011	1	1	66	56	9	10	23	99	75	118	14,6
2011	0	0	37	78	7	5	14	139	128	82	12,6
2011	0	1	59	53	13	10	28	78	41	50	NA
2011	0	0	42	67	15	10	16	162	146	102	13,0
2011	1	1	38	59	12	12	24	108	69	65	12,6
2011	0	0	66	66	15	11	20	159	186	90	13,2
2011	1	0	34	68	14	9	12	74	81	64	9,9
2011	0	1	53	71	16	12	24	110	85	83	7,7
2011	1	0	49	66	14	11	22	96	54	70	10,5
2011	1	0	55	73	13	10	12	116	46	50	13,4
2011	1	0	49	72	16	12	22	87	106	77	10,9
2011	1	1	59	71	13	10	20	97	34	37	4,3
2011	1	0	40	59	16	9	10	127	60	81	10,3
2011	1	1	58	64	16	11	23	106	95	101	11,8
2011	1	1	60	66	16	12	17	80	57	79	11,2
2011	1	0	63	78	10	7	22	74	62	71	11,4
2011	1	0	56	68	12	11	24	91	36	60	8,6
2011	1	0	54	73	12	12	18	133	56	55	13,2
2011	1	1	52	62	12	6	21	74	54	44	12,6
2011	1	1	34	65	12	9	20	114	64	40	5,6
2011	1	1	69	68	19	15	20	140	76	56	9,9
2011	1	0	32	65	14	10	22	95	98	43	8,8
2011	1	1	48	60	13	11	19	98	88	45	7,7
2011	1	0	67	71	16	12	20	121	35	32	9,0
2011	1	1	58	65	15	12	26	126	102	56	7,3
2011	1	1	57	68	12	12	23	98	61	40	11,4
2011	1	1	42	64	8	11	24	95	80	34	13,6
2011	1	1	64	74	10	9	21	110	49	89	7,9
2011	1	1	58	69	16	11	21	70	78	50	10,7
2011	1	0	66	76	16	12	19	102	90	56	10,3
2011	1	1	26	68	10	12	8	86	45	46	8,3
2011	1	1	61	72	18	14	17	130	55	76	9,6
2011	1	1	52	67	12	8	20	96	96	64	14,2
2011	1	0	51	63	16	10	11	102	43	74	8,5
2011	1	0	55	59	10	9	8	100	52	57	13,5
2011	1	0	50	73	14	10	15	94	60	45	4,9
2011	1	0	60	66	12	9	18	52	54	30	6,4
2011	1	0	56	62	11	10	18	98	51	62	9,6
2011	1	0	63	69	15	12	19	118	51	51	11,6
2011	1	1	61	66	7	11	19	99	38	36	11,1
2012	0	1	52	51	16	9	23	48	41	34	4,35
2012	0	1	16	56	16	11	22	50	146	61	12,7
2012	0	1	46	67	16	12	21	150	182	70	18,1
2012	0	1	56	69	16	12	25	154	192	69	17,85
2012	1	0	52	57	12	7	30	109	263	145	16,6
2012	1	1	55	56	15	12	17	68	35	23	12,6
2012	0	1	50	55	14	12	27	194	439	120	17,1
2012	0	0	59	63	15	12	23	158	214	147	19,1
2012	0	1	60	67	16	10	23	159	341	215	16,1
2012	0	0	52	65	13	15	18	67	58	24	13,35
2012	0	0	44	47	10	10	18	147	292	84	18,4
2012	0	1	67	76	17	15	23	39	85	30	14,7
2012	0	1	52	64	15	10	19	100	200	77	10,6
2012	0	1	55	68	18	15	15	111	158	46	12,6
2012	0	1	37	64	16	9	20	138	199	61	16,2
2012	0	1	54	65	20	15	16	101	297	178	13,6
2012	1	1	72	71	16	12	24	131	227	160	18,9
2012	0	1	51	63	17	13	25	101	108	57	14,1
2012	0	1	48	60	16	12	25	114	86	42	14,5
2012	0	0	60	68	15	12	19	165	302	163	16,15
2012	0	1	50	72	13	8	19	114	148	75	14,75
2012	0	1	63	70	16	9	16	111	178	94	14,8
2012	0	1	33	61	16	15	19	75	120	45	12,45
2012	0	1	67	61	16	12	19	82	207	78	12,65
2012	0	1	46	62	17	12	23	121	157	47	17,35
2012	0	1	54	71	20	15	21	32	128	29	8,6
2012	0	0	59	71	14	11	22	150	296	97	18,4
2012	0	1	61	51	17	12	19	117	323	116	16,1
2012	1	1	33	56	6	6	20	71	79	32	11,6
2012	0	1	47	70	16	14	20	165	70	50	17,75
2012	0	1	69	73	15	12	3	154	146	118	15,25
2012	0	1	52	76	16	12	23	126	246	66	17,65
2012	0	0	55	68	16	12	23	149	196	86	16,35
2012	0	0	41	48	14	11	20	145	199	89	17,65
2012	0	1	73	52	16	12	15	120	127	76	13,6
2012	0	0	52	60	16	12	16	109	153	75	14,35
2012	0	0	50	59	16	12	7	132	299	57	14,75
2012	0	1	51	57	14	12	24	172	228	72	18,25
2012	0	0	60	79	14	8	17	169	190	60	9,9
2012	0	1	56	60	16	8	24	114	180	109	16
2012	0	1	56	60	16	12	24	156	212	76	18,25
2012	0	0	29	59	15	12	19	172	269	65	16,85
2012	1	1	66	62	16	11	25	68	130	40	14,6
2012	1	1	66	59	16	10	20	89	179	58	13,85
2012	0	1	73	61	18	11	28	167	243	123	18,95
2012	0	0	55	71	15	12	23	113	190	71	15,6
2012	1	0	64	57	16	13	27	115	299	102	14,85
2012	1	0	40	66	16	12	18	78	121	80	11,75
2012	1	0	46	63	16	12	28	118	137	97	18,45
2012	1	1	58	69	17	10	21	87	305	46	15,9
2012	0	0	43	58	14	10	19	173	157	93	17,1
2012	0	1	61	59	18	11	23	2	96	19	16,1
2012	1	0	51	48	9	8	27	162	183	140	19,9
2012	1	1	50	66	15	12	22	49	52	78	10,95
2012	1	0	52	73	14	9	28	122	238	98	18,45
2012	1	1	54	67	15	12	25	96	40	40	15,1
2012	1	0	66	61	13	9	21	100	226	80	15
2012	1	0	61	68	16	11	22	82	190	76	11,35
2012	1	1	80	75	20	15	28	100	214	79	15,95
2012	1	0	51	62	14	8	20	115	145	87	18,1
2012	1	1	56	69	12	8	29	141	119	95	14,6
2012	0	1	56	58	15	11	25	165	222	49	15,4
2012	0	1	56	60	15	11	25	165	222	49	15,4
2012	1	1	53	74	15	11	20	110	159	80	17,6
2012	0	1	47	55	16	13	20	118	165	86	13,35
2012	0	0	25	62	11	7	16	158	249	69	19,1
2012	1	1	47	63	16	12	20	146	125	79	15,35
2012	0	0	46	69	7	8	20	49	122	52	7,6
2012	1	0	50	58	11	8	23	90	186	120	13,4
2012	1	0	39	58	9	4	18	121	148	69	13,9
2012	0	1	51	68	15	11	25	155	274	94	19,1
2012	1	0	58	72	16	10	18	104	172	72	15,25
2012	1	1	35	62	14	7	19	147	84	43	12,9
2012	1	0	58	62	15	12	25	110	168	87	16,1
2012	1	0	60	65	13	11	25	108	102	52	17,35
2012	1	0	62	69	13	9	25	113	106	71	13,15
2012	1	0	63	66	12	10	24	115	2	61	12,15
2012	1	1	53	72	16	8	19	61	139	51	12,6
2012	1	1	46	62	14	8	26	60	95	50	10,35
2012	1	1	67	75	16	11	10	109	130	67	15,4
2012	1	1	59	58	14	12	17	68	72	30	9,6
2012	1	0	64	66	15	10	13	111	141	70	18,2
2012	1	0	38	55	10	10	17	77	113	52	13,6
2012	1	1	50	47	16	12	30	73	206	75	14,85
2012	0	0	48	72	14	8	25	151	268	87	14,75
2012	1	0	48	62	16	11	4	89	175	69	14,1
2012	1	0	47	64	12	8	16	78	77	72	14,9
2012	1	0	66	64	16	10	21	110	125	79	16,25
2012	0	1	47	19	16	14	23	220	255	121	19,25
2012	1	1	63	50	15	9	22	65	111	43	13,6
2012	0	0	58	68	14	9	17	141	132	58	13,6
2012	1	0	44	70	16	10	20	117	211	57	15,65
2012	0	1	51	79	11	13	20	122	92	50	12,75
2012	1	0	43	69	15	12	22	63	76	69	14,6
2012	0	1	55	71	18	13	16	44	171	64	9,85
2012	1	1	38	48	13	8	23	52	83	38	12,65
2012	1	0	45	73	7	3	0	131	266	90	19,2
2012	1	1	50	74	7	8	18	101	186	96	16,6
2012	1	1	54	66	17	12	25	42	50	49	11,2
2012	0	1	57	71	18	11	23	152	117	56	15,25
2012	0	0	60	74	15	9	12	107	219	102	11,9
2012	1	0	55	78	8	12	18	77	246	40	13,2
2012	0	0	56	75	13	12	24	154	279	100	16,35
2012	0	1	49	53	13	12	11	103	148	67	12,4
2012	1	1	37	60	15	10	18	96	137	78	15,85
2012	0	1	59	70	18	13	23	175	181	55	18,15
2012	1	1	46	69	16	9	24	57	98	59	11,15
2012	1	0	51	65	14	12	29	112	226	96	15,65
2012	0	0	58	78	15	11	18	143	234	86	17,75
2012	1	0	64	78	19	14	15	49	138	38	7,65
2012	0	1	53	59	16	11	29	110	85	43	12,35
2012	0	1	48	72	12	9	16	131	66	23	15,6
2012	0	0	51	70	16	12	19	167	236	77	19,3
2012	1	0	47	63	11	8	22	56	106	48	15,2
2012	0	0	59	63	16	15	16	137	135	26	17,1
2012	1	1	62	71	15	12	23	86	122	91	15,6
2012	0	1	62	74	19	14	23	121	218	94	18,4
2012	0	0	51	67	15	12	19	149	199	62	19,05
2012	0	0	64	66	14	9	4	168	112	74	18,55
2012	0	0	52	62	14	9	20	140	278	114	19,1
2012	1	1	67	80	17	13	24	88	94	52	13,1
2012	0	1	50	73	16	13	20	168	113	64	12,85
2012	0	1	54	67	20	15	4	94	84	31	9,5
2012	0	1	58	61	16	11	24	51	86	38	4,5
2012	1	0	56	73	9	7	22	48	62	27	11,85
2012	0	1	63	74	13	10	16	145	222	105	13,6
2012	0	1	31	32	15	11	3	66	167	64	11,7
2012	1	1	65	69	19	14	15	85	82	62	12,4
2012	0	0	71	69	16	14	24	109	207	65	13,35
2012	1	0	50	84	17	13	17	63	184	58	11,4
2012	1	1	57	64	16	12	20	102	83	76	14,9
2012	1	0	47	58	9	8	27	162	183	140	19,9
2012	1	1	47	59	11	13	26	86	89	68	11,2
2012	1	1	57	78	14	9	23	114	225	80	14,6
2012	0	0	43	57	19	12	17	164	237	71	17,6
2012	0	1	41	60	13	13	20	119	102	76	14,05
2012	0	0	63	68	14	11	22	126	221	63	16,1
2012	0	1	63	68	15	11	19	132	128	46	13,35
2012	0	1	56	73	15	13	24	142	91	53	11,85
2012	0	0	51	69	14	12	19	83	198	74	11,95
2012	1	1	50	67	16	12	23	94	204	70	14,75
2012	1	0	22	60	17	10	15	81	158	78	15,15
2012	0	1	41	65	12	9	27	166	138	56	13,2
2012	1	0	59	66	15	10	26	110	226	100	16,85
2012	1	1	56	74	17	13	22	64	44	51	7,85
2012	0	0	66	81	15	13	22	93	196	52	7,7
2012	1	0	53	72	10	9	18	104	83	102	12,6
2012	1	1	42	55	16	11	15	105	79	78	7,85
2012	1	1	52	49	15	12	22	49	52	78	10,95
2012	1	0	54	74	11	8	27	88	105	55	12,35
2012	1	1	44	53	16	12	10	95	116	98	9,95
2012	1	1	62	64	16	12	20	102	83	76	14,9
2012	1	0	53	65	16	12	17	99	196	73	16,65
2012	1	1	50	57	14	9	23	63	153	47	13,4
2012	1	0	36	51	14	12	19	76	157	45	13,95
2012	1	0	76	80	16	12	13	109	75	83	15,7
2012	1	1	66	67	16	11	27	117	106	60	16,85
2012	1	1	62	70	18	12	23	57	58	48	10,95
2012	1	0	59	74	14	6	16	120	75	50	15,35
2012	1	1	47	75	20	7	25	73	74	56	12,2
2012	1	0	55	70	15	10	2	91	185	77	15,1
2012	1	0	58	69	16	12	26	108	265	91	17,75
2012	1	1	60	65	16	10	20	105	131	76	15,2
2012	0	0	44	55	16	12	23	117	139	68	14,6
2012	1	0	57	71	12	9	22	119	196	74	16,65
2012	1	1	45	65	8	3	24	31	78	29	8,1

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	11 seconds
R Server	'Sir Maurice George Kendall' @ kendall.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 & 11 seconds \tabularnewline
R Server & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=263271&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]11 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=263271&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=263271&T=0

As an alternative you can also use a QR Code:

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

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	11 seconds
R Server	'Sir Maurice George Kendall' @ kendall.wessa.net

Multiple Linear Regression - Estimated Regression Equation
TOT[t] = -7427.23 + 3.6959year[t] + 1.25053group[t] -0.478529gender[t] -0.00786849AMS.I[t] -0.0116978AMS.II[t] -0.090794CONFSTATTOT[t] + 0.0862514CONFSOFTTOT[t] + 0.038316NUMERACYTOT[t] + 0.0335907LFM[t] + 0.0101458B[t] + 0.00995498H[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
TOT[t] =  -7427.23 +  3.6959year[t] +  1.25053group[t] -0.478529gender[t] -0.00786849AMS.I[t] -0.0116978AMS.II[t] -0.090794CONFSTATTOT[t] +  0.0862514CONFSOFTTOT[t] +  0.038316NUMERACYTOT[t] +  0.0335907LFM[t] +  0.0101458B[t] +  0.00995498H[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=263271&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]TOT[t] =  -7427.23 +  3.6959year[t] +  1.25053group[t] -0.478529gender[t] -0.00786849AMS.I[t] -0.0116978AMS.II[t] -0.090794CONFSTATTOT[t] +  0.0862514CONFSOFTTOT[t] +  0.038316NUMERACYTOT[t] +  0.0335907LFM[t] +  0.0101458B[t] +  0.00995498H[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=263271&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=263271&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] = -7427.23 + 3.6959year[t] + 1.25053group[t] -0.478529gender[t] -0.00786849AMS.I[t] -0.0116978AMS.II[t] -0.090794CONFSTATTOT[t] + 0.0862514CONFSOFTTOT[t] + 0.038316NUMERACYTOT[t] + 0.0335907LFM[t] + 0.0101458B[t] + 0.00995498H[t] + e[t]

Multiple Linear Regression - Ordinary Least Squares
Variable	Parameter	S.D.	T-STATH0: parameter = 0	2-tail p-value	1-tail p-value
(Intercept)	-7427.23	744.007	-9.983	3.87141e-20	1.9357e-20
year	3.6959	0.369856	9.993	3.59607e-20	1.79804e-20
group	1.25053	0.333313	3.752	0.000215525	0.000107762
gender	-0.478529	0.30038	-1.593	0.11233	0.0561648
AMS.I	-0.00786849	0.0149173	-0.5275	0.598304	0.299152
AMS.II	-0.0116978	0.0184713	-0.6333	0.527084	0.263542
CONFSTATTOT	-0.090794	0.0665947	-1.363	0.173915	0.0869575
CONFSOFTTOT	0.0862514	0.0780497	1.105	0.270122	0.135061
NUMERACYTOT	0.038316	0.0274791	1.394	0.164371	0.0821853
LFM	0.0335907	0.00477956	7.028	1.75929e-11	8.79645e-12
B	0.0101458	0.00291405	3.482	0.000582243	0.000291121
H	0.00995498	0.00596906	1.668	0.0965392	0.0482696

\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) & -7427.23 & 744.007 & -9.983 & 3.87141e-20 & 1.9357e-20 \tabularnewline
year & 3.6959 & 0.369856 & 9.993 & 3.59607e-20 & 1.79804e-20 \tabularnewline
group & 1.25053 & 0.333313 & 3.752 & 0.000215525 & 0.000107762 \tabularnewline
gender & -0.478529 & 0.30038 & -1.593 & 0.11233 & 0.0561648 \tabularnewline
AMS.I & -0.00786849 & 0.0149173 & -0.5275 & 0.598304 & 0.299152 \tabularnewline
AMS.II & -0.0116978 & 0.0184713 & -0.6333 & 0.527084 & 0.263542 \tabularnewline
CONFSTATTOT & -0.090794 & 0.0665947 & -1.363 & 0.173915 & 0.0869575 \tabularnewline
CONFSOFTTOT & 0.0862514 & 0.0780497 & 1.105 & 0.270122 & 0.135061 \tabularnewline
NUMERACYTOT & 0.038316 & 0.0274791 & 1.394 & 0.164371 & 0.0821853 \tabularnewline
LFM & 0.0335907 & 0.00477956 & 7.028 & 1.75929e-11 & 8.79645e-12 \tabularnewline
B & 0.0101458 & 0.00291405 & 3.482 & 0.000582243 & 0.000291121 \tabularnewline
H & 0.00995498 & 0.00596906 & 1.668 & 0.0965392 & 0.0482696 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=263271&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]-7427.23[/C][C]744.007[/C][C]-9.983[/C][C]3.87141e-20[/C][C]1.9357e-20[/C][/ROW]
[ROW][C]year[/C][C]3.6959[/C][C]0.369856[/C][C]9.993[/C][C]3.59607e-20[/C][C]1.79804e-20[/C][/ROW]
[ROW][C]group[/C][C]1.25053[/C][C]0.333313[/C][C]3.752[/C][C]0.000215525[/C][C]0.000107762[/C][/ROW]
[ROW][C]gender[/C][C]-0.478529[/C][C]0.30038[/C][C]-1.593[/C][C]0.11233[/C][C]0.0561648[/C][/ROW]
[ROW][C]AMS.I[/C][C]-0.00786849[/C][C]0.0149173[/C][C]-0.5275[/C][C]0.598304[/C][C]0.299152[/C][/ROW]
[ROW][C]AMS.II[/C][C]-0.0116978[/C][C]0.0184713[/C][C]-0.6333[/C][C]0.527084[/C][C]0.263542[/C][/ROW]
[ROW][C]CONFSTATTOT[/C][C]-0.090794[/C][C]0.0665947[/C][C]-1.363[/C][C]0.173915[/C][C]0.0869575[/C][/ROW]
[ROW][C]CONFSOFTTOT[/C][C]0.0862514[/C][C]0.0780497[/C][C]1.105[/C][C]0.270122[/C][C]0.135061[/C][/ROW]
[ROW][C]NUMERACYTOT[/C][C]0.038316[/C][C]0.0274791[/C][C]1.394[/C][C]0.164371[/C][C]0.0821853[/C][/ROW]
[ROW][C]LFM[/C][C]0.0335907[/C][C]0.00477956[/C][C]7.028[/C][C]1.75929e-11[/C][C]8.79645e-12[/C][/ROW]
[ROW][C]B[/C][C]0.0101458[/C][C]0.00291405[/C][C]3.482[/C][C]0.000582243[/C][C]0.000291121[/C][/ROW]
[ROW][C]H[/C][C]0.00995498[/C][C]0.00596906[/C][C]1.668[/C][C]0.0965392[/C][C]0.0482696[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=263271&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=263271&T=2

As an alternative you can also use a QR Code:

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

Multiple Linear Regression - Ordinary Least Squares
Variable	Parameter	S.D.	T-STATH0: parameter = 0	2-tail p-value	1-tail p-value
(Intercept)	-7427.23	744.007	-9.983	3.87141e-20	1.9357e-20
year	3.6959	0.369856	9.993	3.59607e-20	1.79804e-20
group	1.25053	0.333313	3.752	0.000215525	0.000107762
gender	-0.478529	0.30038	-1.593	0.11233	0.0561648
AMS.I	-0.00786849	0.0149173	-0.5275	0.598304	0.299152
AMS.II	-0.0116978	0.0184713	-0.6333	0.527084	0.263542
CONFSTATTOT	-0.090794	0.0665947	-1.363	0.173915	0.0869575
CONFSOFTTOT	0.0862514	0.0780497	1.105	0.270122	0.135061
NUMERACYTOT	0.038316	0.0274791	1.394	0.164371	0.0821853
LFM	0.0335907	0.00477956	7.028	1.75929e-11	8.79645e-12
B	0.0101458	0.00291405	3.482	0.000582243	0.000291121
H	0.00995498	0.00596906	1.668	0.0965392	0.0482696

Multiple Linear Regression - Regression Statistics
Multiple R	0.756741
R-squared	0.572657
Adjusted R-squared	0.554985
F-TEST (value)	32.4046
F-TEST (DF numerator)	11
F-TEST (DF denominator)	266
p-value	0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	2.26436
Sum Squared Residuals	1363.87

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.756741 \tabularnewline
R-squared & 0.572657 \tabularnewline
Adjusted R-squared & 0.554985 \tabularnewline
F-TEST (value) & 32.4046 \tabularnewline
F-TEST (DF numerator) & 11 \tabularnewline
F-TEST (DF denominator) & 266 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 2.26436 \tabularnewline
Sum Squared Residuals & 1363.87 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=263271&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.756741[/C][/ROW]
[ROW][C]R-squared[/C][C]0.572657[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.554985[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]32.4046[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]11[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]266[/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]2.26436[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]1363.87[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=263271&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=263271&T=3

As an alternative you can also use a QR Code:

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

Multiple Linear Regression - Regression Statistics
Multiple R	0.756741
R-squared	0.572657
Adjusted R-squared	0.554985
F-TEST (value)	32.4046
F-TEST (DF numerator)	11
F-TEST (DF denominator)	266
p-value	0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	2.26436
Sum Squared Residuals	1363.87

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	InterpolationForecast	ResidualsPrediction Error
1	12.9	11.9332	0.966778
2	12.2	10.4587	1.7413
3	12.8	11.3971	1.40293
4	7.4	11.2893	-3.8893
5	6.7	9.97537	-3.27537
6	12.6	14.2168	-1.61678
7	14.8	11.4365	3.36353
8	13.3	10.3671	2.93294
9	11.1	11.3687	-0.268724
10	8.2	11.9399	-3.73989
11	11.4	11.6239	-0.223919
12	6.4	11.5859	-5.18595
13	10.6	9.42287	1.17713
14	12	13.1158	-1.11584
15	6.3	6.59149	-0.291488
16	11.3	9.74156	1.55844
17	11.9	12.3725	-0.472474
18	9.3	10.2164	-0.916425
19	9.6	11.6029	-2.00292
20	10	9.63073	0.369268
21	6.4	9.96625	-3.56625
22	13.8	11.3566	2.44336
23	10.8	13.4468	-2.6468
24	13.8	12.6384	1.16163
25	11.7	10.8051	0.894925
26	10.9	14.5724	-3.67238
27	16.1	13.4813	2.61872
28	13.4	10.2411	3.15888
29	9.9	10.5313	-0.631313
30	11.5	10.8231	0.676914
31	8.3	9.20912	-0.909119
32	11.7	11.6016	0.098425
33	9	10.188	-1.18805
34	9.7	12.6001	-2.9001
35	10.8	9.57213	1.22787
36	10.3	9.42455	0.875455
37	10.4	10.4735	-0.0734886
38	12.7	11.1081	1.59186
39	9.3	11.7449	-2.44489
40	11.8	12.5091	-0.709068
41	5.9	9.29257	-3.39257
42	11.4	11.6946	-0.294626
43	13	10.7433	2.25667
44	10.8	11.325	-0.524984
45	12.3	8.36788	3.93212
46	11.3	13.1362	-1.83621
47	11.8	9.59666	2.20334
48	7.9	9.89323	-1.99323
49	12.7	8.889	3.811
50	12.3	9.41772	2.88228
51	11.6	10.8087	0.791278
52	6.7	7.65643	-0.956433
53	10.9	10.7574	0.142614
54	12.1	11.5794	0.52062
55	13.3	10.3232	2.97676
56	10.1	10.236	-0.135972
57	5.7	10.8879	-5.18788
58	14.3	10.4344	3.86563
59	8	7.69772	0.302284
60	13.3	10.4951	2.80492
61	9.3	11.952	-2.65202
62	12.5	11.391	1.10899
63	7.6	9.16158	-1.56158
64	15.9	13.2689	2.63113
65	9.2	11.8036	-2.60357
66	9.1	8.9939	0.106104
67	11.1	13.3517	-2.25169
68	13	13.7826	-0.782601
69	14.5	12.1637	2.33627
70	12.2	10.69	1.50999
71	12.3	13.1741	-0.874128
72	11.4	10.0598	1.34024
73	8.8	9.92383	-1.12383
74	14.6	11.0136	3.58644
75	12.6	11.1409	1.45914
76	NA	NA	0.833957
77	13	11.251	1.74895
78	12.6	11.814	0.785987
79	13.2	12.6253	0.574654
80	9.9	11.5876	-1.68765
81	7.7	7.51117	0.188834
82	10.5	7.295	3.205
83	13.4	12.9406	0.459407
84	10.9	15.7255	-4.82553
85	4.3	4.86168	-0.561677
86	10.3	9.20243	1.09757
87	11.8	9.64175	2.15825
88	11.2	9.23093	1.96907
89	11.4	12.8408	-1.44078
90	8.6	6.81834	1.78166
91	13.2	9.17001	4.02999
92	12.6	17.3023	-4.70226
93	5.6	6.72811	-1.12811
94	9.9	11.6144	-1.71442
95	8.8	11.1498	-2.3498
96	7.7	8.90778	-1.20778
97	9	12.9776	-3.97759
98	7.3	5.792	1.508
99	11.4	8.20433	3.19567
100	13.6	16.0821	-2.48207
101	7.9	5.87786	2.02214
102	10.7	10.6776	0.0224373
103	10.3	11.2371	-0.93708
104	8.3	9.28399	-0.983987
105	9.6	5.40993	4.19007
106	14.2	15.471	-1.27097
107	8.5	4.98475	3.51525
108	13.5	18.2118	-4.71177
109	4.9	6.70424	-1.80424
110	6.4	7.09285	-0.692848
111	9.6	8.56584	1.03416
112	11.6	10.3588	1.24121
113	11.1	16.7615	-5.66147
114	4.35	3.42171	0.928291
115	12.7	9.86883	2.83117
116	18.1	15.7959	2.30412
117	17.85	18.7856	-0.935631
118	16.6	15.801	0.799012
119	12.6	15.8724	-3.27243
120	17.1	15.2192	1.88079
121	19.1	21.4218	-2.32178
122	16.1	14.3857	1.71431
123	13.35	12.359	0.990996
124	18.4	13.832	4.56801
125	14.7	17.7711	-3.07115
126	10.6	11.2411	-0.64113
127	12.6	11.1575	1.44253
128	16.2	18.1292	-1.92924
129	13.6	11.7972	1.80278
130	18.9	17.6989	1.20115
131	14.1	12.6262	1.47376
132	14.5	16.6368	-2.13684
133	16.15	14.9252	1.22484
134	14.75	13.4879	1.26206
135	14.8	14.5762	0.223789
136	12.45	12.9463	-0.496263
137	12.65	9.15642	3.49358
138	17.35	18.8849	-1.53494
139	8.6	7.35734	1.24266
140	18.4	18.2505	0.149462
141	16.1	17.5255	-1.42546
142	11.6	8.37849	3.22151
143	17.75	17.1657	0.584271
144	15.25	12.5963	2.65369
145	17.65	17.3092	0.340791
146	16.35	14.9597	1.39035
147	17.65	17.5459	0.104058
148	13.6	13.2188	0.381219
149	14.35	15.3261	-0.976058
150	14.75	13.3686	1.38138
151	18.25	24.15	-5.89999
152	9.9	8.10066	1.79934
153	16	13.7026	2.29737
154	18.25	18.9608	-0.710777
155	16.85	15.1568	1.69318
156	14.6	14.7958	-0.195819
157	13.85	11.7445	2.10551
158	18.95	17.9954	0.954556
159	15.6	18.3693	-2.76932
160	14.85	17.104	-2.25397
161	11.75	9.35021	2.39979
162	18.45	17.581	0.868958
163	15.9	15.3566	0.543394
164	17.1	9.70151	7.39849
165	16.1	15.0113	1.08867
166	19.9	20.9467	-1.04671
167	10.95	9.4779	1.4721
168	18.45	16.4972	1.95279
169	15.1	15.8908	-0.790761
170	15	18.327	-3.32695
171	11.35	10.4568	0.893239
172	15.95	13.2835	2.66654
173	18.1	19.5493	-1.44935
174	14.6	15.3539	-0.753873
175	15.4	16.1305	-0.730477
176	15.4	12.6712	2.72881
177	17.6	18.6112	-1.01117
178	13.35	10.9908	2.35924
179	19.1	19.6469	-0.546885
180	15.35	19.7272	-4.37719
181	7.6	9.98018	-2.38018
182	13.4	15.1598	-1.7598
183	13.9	11.5159	2.38411
184	19.1	18.7808	0.319197
185	15.25	17.3243	-2.07425
186	12.9	12.6896	0.210424
187	16.1	13.5989	2.50115
188	17.35	19.2115	-1.8615
189	13.15	15.0899	-1.93992
190	12.15	11.9192	0.230839
191	12.6	14.7511	-2.15106
192	10.35	8.76814	1.58186
193	15.4	18.082	-2.68199
194	9.6	6.1537	3.4463
195	18.2	18.6888	-0.488831
196	13.6	13.5235	0.0765281
197	14.85	16.8383	-1.98835
198	14.75	14.823	-0.0730054
199	14.1	12.5878	1.51223
200	14.9	13.5208	1.37924
201	16.25	16.6713	-0.421293
202	19.25	18.2605	0.989538
203	13.6	14.4817	-0.881744
204	13.6	13.774	-0.174031
205	15.65	16.4383	-0.788257
206	12.75	11.2694	1.4806
207	14.6	15.8824	-1.28236
208	9.85	9.39369	0.456315
209	12.65	10.0349	2.61506
210	19.2	18.0167	1.18334
211	16.6	16.7545	-0.154476
212	11.2	10.1626	1.03739
213	15.25	17.6421	-2.39207
214	11.9	14.0084	-2.10836
215	13.2	14.2296	-1.02958
216	16.35	17.2946	-0.944631
217	12.4	10.8346	1.56542
218	15.85	13.493	2.35696
219	18.15	19.2665	-1.11646
220	11.15	12.3989	-1.24885
221	15.65	13.7656	1.88442
222	17.75	22.3402	-4.59016
223	7.65	8.23105	-0.581054
224	12.35	9.57442	2.77558
225	15.6	13.0849	2.51511
226	19.3	17.1365	2.16353
227	15.2	12.5075	2.69252
228	17.1	15.4646	1.6354
229	15.6	11.8678	3.73216
230	18.4	15.1314	3.26857
231	19.05	15.3231	3.72687
232	18.55	16.1693	2.38073
233	19.1	19.1578	-0.0578066
234	13.1	15.3099	-2.20995
235	12.85	14.5365	-1.68648
236	9.5	15.6553	-6.15525
237	4.5	4.66982	-0.169815
238	11.85	13.7978	-1.94779
239	13.6	13.9776	-0.377598
240	11.7	12.0391	-0.339067
241	12.4	13.6914	-1.29135
242	13.35	15.5382	-2.18818
243	11.4	10.3725	1.02748
244	14.9	13.7258	1.17417
245	19.9	22.9236	-3.0236
246	11.2	12.2301	-1.03015
247	14.6	13.5005	1.09946
248	17.6	17.4671	0.132872
249	14.05	13.2054	0.844624
250	16.1	16.4099	-0.309853
251	13.35	15.5507	-2.20072
252	11.85	13.6412	-1.79115
253	11.95	12.1066	-0.156643
254	14.75	13.8938	0.856197
255	15.15	17.5676	-2.41755
256	13.2	12.7686	0.431398
257	16.85	20.9145	-4.06449
258	7.85	13.8398	-5.98976
259	7.7	9.92433	-2.22433
260	12.6	18.6481	-6.0481
261	7.85	9.07984	-1.22984
262	10.95	12.7787	-1.82874
263	12.35	16.439	-4.08901
264	9.95	8.88318	1.06682
265	14.9	13.5217	1.37828
266	16.65	16.4087	0.24126
267	13.4	13.8305	-0.430459
268	13.95	12.2198	1.73017
269	15.7	13.3765	2.32349
270	16.85	17.5524	-0.702384
271	10.95	9.59379	1.35621
272	15.35	15.1051	0.244866
273	12.2	11.3005	0.899467
274	15.1	14.062	1.038
275	17.75	16.8025	0.947514
276	15.2	15.0154	0.18457
277	14.6	14.0978	0.502171
278	16.65	19.705	-3.05504
279	8.1	NA	NA

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 12.9 & 11.9332 & 0.966778 \tabularnewline
2 & 12.2 & 10.4587 & 1.7413 \tabularnewline
3 & 12.8 & 11.3971 & 1.40293 \tabularnewline
4 & 7.4 & 11.2893 & -3.8893 \tabularnewline
5 & 6.7 & 9.97537 & -3.27537 \tabularnewline
6 & 12.6 & 14.2168 & -1.61678 \tabularnewline
7 & 14.8 & 11.4365 & 3.36353 \tabularnewline
8 & 13.3 & 10.3671 & 2.93294 \tabularnewline
9 & 11.1 & 11.3687 & -0.268724 \tabularnewline
10 & 8.2 & 11.9399 & -3.73989 \tabularnewline
11 & 11.4 & 11.6239 & -0.223919 \tabularnewline
12 & 6.4 & 11.5859 & -5.18595 \tabularnewline
13 & 10.6 & 9.42287 & 1.17713 \tabularnewline
14 & 12 & 13.1158 & -1.11584 \tabularnewline
15 & 6.3 & 6.59149 & -0.291488 \tabularnewline
16 & 11.3 & 9.74156 & 1.55844 \tabularnewline
17 & 11.9 & 12.3725 & -0.472474 \tabularnewline
18 & 9.3 & 10.2164 & -0.916425 \tabularnewline
19 & 9.6 & 11.6029 & -2.00292 \tabularnewline
20 & 10 & 9.63073 & 0.369268 \tabularnewline
21 & 6.4 & 9.96625 & -3.56625 \tabularnewline
22 & 13.8 & 11.3566 & 2.44336 \tabularnewline
23 & 10.8 & 13.4468 & -2.6468 \tabularnewline
24 & 13.8 & 12.6384 & 1.16163 \tabularnewline
25 & 11.7 & 10.8051 & 0.894925 \tabularnewline
26 & 10.9 & 14.5724 & -3.67238 \tabularnewline
27 & 16.1 & 13.4813 & 2.61872 \tabularnewline
28 & 13.4 & 10.2411 & 3.15888 \tabularnewline
29 & 9.9 & 10.5313 & -0.631313 \tabularnewline
30 & 11.5 & 10.8231 & 0.676914 \tabularnewline
31 & 8.3 & 9.20912 & -0.909119 \tabularnewline
32 & 11.7 & 11.6016 & 0.098425 \tabularnewline
33 & 9 & 10.188 & -1.18805 \tabularnewline
34 & 9.7 & 12.6001 & -2.9001 \tabularnewline
35 & 10.8 & 9.57213 & 1.22787 \tabularnewline
36 & 10.3 & 9.42455 & 0.875455 \tabularnewline
37 & 10.4 & 10.4735 & -0.0734886 \tabularnewline
38 & 12.7 & 11.1081 & 1.59186 \tabularnewline
39 & 9.3 & 11.7449 & -2.44489 \tabularnewline
40 & 11.8 & 12.5091 & -0.709068 \tabularnewline
41 & 5.9 & 9.29257 & -3.39257 \tabularnewline
42 & 11.4 & 11.6946 & -0.294626 \tabularnewline
43 & 13 & 10.7433 & 2.25667 \tabularnewline
44 & 10.8 & 11.325 & -0.524984 \tabularnewline
45 & 12.3 & 8.36788 & 3.93212 \tabularnewline
46 & 11.3 & 13.1362 & -1.83621 \tabularnewline
47 & 11.8 & 9.59666 & 2.20334 \tabularnewline
48 & 7.9 & 9.89323 & -1.99323 \tabularnewline
49 & 12.7 & 8.889 & 3.811 \tabularnewline
50 & 12.3 & 9.41772 & 2.88228 \tabularnewline
51 & 11.6 & 10.8087 & 0.791278 \tabularnewline
52 & 6.7 & 7.65643 & -0.956433 \tabularnewline
53 & 10.9 & 10.7574 & 0.142614 \tabularnewline
54 & 12.1 & 11.5794 & 0.52062 \tabularnewline
55 & 13.3 & 10.3232 & 2.97676 \tabularnewline
56 & 10.1 & 10.236 & -0.135972 \tabularnewline
57 & 5.7 & 10.8879 & -5.18788 \tabularnewline
58 & 14.3 & 10.4344 & 3.86563 \tabularnewline
59 & 8 & 7.69772 & 0.302284 \tabularnewline
60 & 13.3 & 10.4951 & 2.80492 \tabularnewline
61 & 9.3 & 11.952 & -2.65202 \tabularnewline
62 & 12.5 & 11.391 & 1.10899 \tabularnewline
63 & 7.6 & 9.16158 & -1.56158 \tabularnewline
64 & 15.9 & 13.2689 & 2.63113 \tabularnewline
65 & 9.2 & 11.8036 & -2.60357 \tabularnewline
66 & 9.1 & 8.9939 & 0.106104 \tabularnewline
67 & 11.1 & 13.3517 & -2.25169 \tabularnewline
68 & 13 & 13.7826 & -0.782601 \tabularnewline
69 & 14.5 & 12.1637 & 2.33627 \tabularnewline
70 & 12.2 & 10.69 & 1.50999 \tabularnewline
71 & 12.3 & 13.1741 & -0.874128 \tabularnewline
72 & 11.4 & 10.0598 & 1.34024 \tabularnewline
73 & 8.8 & 9.92383 & -1.12383 \tabularnewline
74 & 14.6 & 11.0136 & 3.58644 \tabularnewline
75 & 12.6 & 11.1409 & 1.45914 \tabularnewline
76 & NA & NA & 0.833957 \tabularnewline
77 & 13 & 11.251 & 1.74895 \tabularnewline
78 & 12.6 & 11.814 & 0.785987 \tabularnewline
79 & 13.2 & 12.6253 & 0.574654 \tabularnewline
80 & 9.9 & 11.5876 & -1.68765 \tabularnewline
81 & 7.7 & 7.51117 & 0.188834 \tabularnewline
82 & 10.5 & 7.295 & 3.205 \tabularnewline
83 & 13.4 & 12.9406 & 0.459407 \tabularnewline
84 & 10.9 & 15.7255 & -4.82553 \tabularnewline
85 & 4.3 & 4.86168 & -0.561677 \tabularnewline
86 & 10.3 & 9.20243 & 1.09757 \tabularnewline
87 & 11.8 & 9.64175 & 2.15825 \tabularnewline
88 & 11.2 & 9.23093 & 1.96907 \tabularnewline
89 & 11.4 & 12.8408 & -1.44078 \tabularnewline
90 & 8.6 & 6.81834 & 1.78166 \tabularnewline
91 & 13.2 & 9.17001 & 4.02999 \tabularnewline
92 & 12.6 & 17.3023 & -4.70226 \tabularnewline
93 & 5.6 & 6.72811 & -1.12811 \tabularnewline
94 & 9.9 & 11.6144 & -1.71442 \tabularnewline
95 & 8.8 & 11.1498 & -2.3498 \tabularnewline
96 & 7.7 & 8.90778 & -1.20778 \tabularnewline
97 & 9 & 12.9776 & -3.97759 \tabularnewline
98 & 7.3 & 5.792 & 1.508 \tabularnewline
99 & 11.4 & 8.20433 & 3.19567 \tabularnewline
100 & 13.6 & 16.0821 & -2.48207 \tabularnewline
101 & 7.9 & 5.87786 & 2.02214 \tabularnewline
102 & 10.7 & 10.6776 & 0.0224373 \tabularnewline
103 & 10.3 & 11.2371 & -0.93708 \tabularnewline
104 & 8.3 & 9.28399 & -0.983987 \tabularnewline
105 & 9.6 & 5.40993 & 4.19007 \tabularnewline
106 & 14.2 & 15.471 & -1.27097 \tabularnewline
107 & 8.5 & 4.98475 & 3.51525 \tabularnewline
108 & 13.5 & 18.2118 & -4.71177 \tabularnewline
109 & 4.9 & 6.70424 & -1.80424 \tabularnewline
110 & 6.4 & 7.09285 & -0.692848 \tabularnewline
111 & 9.6 & 8.56584 & 1.03416 \tabularnewline
112 & 11.6 & 10.3588 & 1.24121 \tabularnewline
113 & 11.1 & 16.7615 & -5.66147 \tabularnewline
114 & 4.35 & 3.42171 & 0.928291 \tabularnewline
115 & 12.7 & 9.86883 & 2.83117 \tabularnewline
116 & 18.1 & 15.7959 & 2.30412 \tabularnewline
117 & 17.85 & 18.7856 & -0.935631 \tabularnewline
118 & 16.6 & 15.801 & 0.799012 \tabularnewline
119 & 12.6 & 15.8724 & -3.27243 \tabularnewline
120 & 17.1 & 15.2192 & 1.88079 \tabularnewline
121 & 19.1 & 21.4218 & -2.32178 \tabularnewline
122 & 16.1 & 14.3857 & 1.71431 \tabularnewline
123 & 13.35 & 12.359 & 0.990996 \tabularnewline
124 & 18.4 & 13.832 & 4.56801 \tabularnewline
125 & 14.7 & 17.7711 & -3.07115 \tabularnewline
126 & 10.6 & 11.2411 & -0.64113 \tabularnewline
127 & 12.6 & 11.1575 & 1.44253 \tabularnewline
128 & 16.2 & 18.1292 & -1.92924 \tabularnewline
129 & 13.6 & 11.7972 & 1.80278 \tabularnewline
130 & 18.9 & 17.6989 & 1.20115 \tabularnewline
131 & 14.1 & 12.6262 & 1.47376 \tabularnewline
132 & 14.5 & 16.6368 & -2.13684 \tabularnewline
133 & 16.15 & 14.9252 & 1.22484 \tabularnewline
134 & 14.75 & 13.4879 & 1.26206 \tabularnewline
135 & 14.8 & 14.5762 & 0.223789 \tabularnewline
136 & 12.45 & 12.9463 & -0.496263 \tabularnewline
137 & 12.65 & 9.15642 & 3.49358 \tabularnewline
138 & 17.35 & 18.8849 & -1.53494 \tabularnewline
139 & 8.6 & 7.35734 & 1.24266 \tabularnewline
140 & 18.4 & 18.2505 & 0.149462 \tabularnewline
141 & 16.1 & 17.5255 & -1.42546 \tabularnewline
142 & 11.6 & 8.37849 & 3.22151 \tabularnewline
143 & 17.75 & 17.1657 & 0.584271 \tabularnewline
144 & 15.25 & 12.5963 & 2.65369 \tabularnewline
145 & 17.65 & 17.3092 & 0.340791 \tabularnewline
146 & 16.35 & 14.9597 & 1.39035 \tabularnewline
147 & 17.65 & 17.5459 & 0.104058 \tabularnewline
148 & 13.6 & 13.2188 & 0.381219 \tabularnewline
149 & 14.35 & 15.3261 & -0.976058 \tabularnewline
150 & 14.75 & 13.3686 & 1.38138 \tabularnewline
151 & 18.25 & 24.15 & -5.89999 \tabularnewline
152 & 9.9 & 8.10066 & 1.79934 \tabularnewline
153 & 16 & 13.7026 & 2.29737 \tabularnewline
154 & 18.25 & 18.9608 & -0.710777 \tabularnewline
155 & 16.85 & 15.1568 & 1.69318 \tabularnewline
156 & 14.6 & 14.7958 & -0.195819 \tabularnewline
157 & 13.85 & 11.7445 & 2.10551 \tabularnewline
158 & 18.95 & 17.9954 & 0.954556 \tabularnewline
159 & 15.6 & 18.3693 & -2.76932 \tabularnewline
160 & 14.85 & 17.104 & -2.25397 \tabularnewline
161 & 11.75 & 9.35021 & 2.39979 \tabularnewline
162 & 18.45 & 17.581 & 0.868958 \tabularnewline
163 & 15.9 & 15.3566 & 0.543394 \tabularnewline
164 & 17.1 & 9.70151 & 7.39849 \tabularnewline
165 & 16.1 & 15.0113 & 1.08867 \tabularnewline
166 & 19.9 & 20.9467 & -1.04671 \tabularnewline
167 & 10.95 & 9.4779 & 1.4721 \tabularnewline
168 & 18.45 & 16.4972 & 1.95279 \tabularnewline
169 & 15.1 & 15.8908 & -0.790761 \tabularnewline
170 & 15 & 18.327 & -3.32695 \tabularnewline
171 & 11.35 & 10.4568 & 0.893239 \tabularnewline
172 & 15.95 & 13.2835 & 2.66654 \tabularnewline
173 & 18.1 & 19.5493 & -1.44935 \tabularnewline
174 & 14.6 & 15.3539 & -0.753873 \tabularnewline
175 & 15.4 & 16.1305 & -0.730477 \tabularnewline
176 & 15.4 & 12.6712 & 2.72881 \tabularnewline
177 & 17.6 & 18.6112 & -1.01117 \tabularnewline
178 & 13.35 & 10.9908 & 2.35924 \tabularnewline
179 & 19.1 & 19.6469 & -0.546885 \tabularnewline
180 & 15.35 & 19.7272 & -4.37719 \tabularnewline
181 & 7.6 & 9.98018 & -2.38018 \tabularnewline
182 & 13.4 & 15.1598 & -1.7598 \tabularnewline
183 & 13.9 & 11.5159 & 2.38411 \tabularnewline
184 & 19.1 & 18.7808 & 0.319197 \tabularnewline
185 & 15.25 & 17.3243 & -2.07425 \tabularnewline
186 & 12.9 & 12.6896 & 0.210424 \tabularnewline
187 & 16.1 & 13.5989 & 2.50115 \tabularnewline
188 & 17.35 & 19.2115 & -1.8615 \tabularnewline
189 & 13.15 & 15.0899 & -1.93992 \tabularnewline
190 & 12.15 & 11.9192 & 0.230839 \tabularnewline
191 & 12.6 & 14.7511 & -2.15106 \tabularnewline
192 & 10.35 & 8.76814 & 1.58186 \tabularnewline
193 & 15.4 & 18.082 & -2.68199 \tabularnewline
194 & 9.6 & 6.1537 & 3.4463 \tabularnewline
195 & 18.2 & 18.6888 & -0.488831 \tabularnewline
196 & 13.6 & 13.5235 & 0.0765281 \tabularnewline
197 & 14.85 & 16.8383 & -1.98835 \tabularnewline
198 & 14.75 & 14.823 & -0.0730054 \tabularnewline
199 & 14.1 & 12.5878 & 1.51223 \tabularnewline
200 & 14.9 & 13.5208 & 1.37924 \tabularnewline
201 & 16.25 & 16.6713 & -0.421293 \tabularnewline
202 & 19.25 & 18.2605 & 0.989538 \tabularnewline
203 & 13.6 & 14.4817 & -0.881744 \tabularnewline
204 & 13.6 & 13.774 & -0.174031 \tabularnewline
205 & 15.65 & 16.4383 & -0.788257 \tabularnewline
206 & 12.75 & 11.2694 & 1.4806 \tabularnewline
207 & 14.6 & 15.8824 & -1.28236 \tabularnewline
208 & 9.85 & 9.39369 & 0.456315 \tabularnewline
209 & 12.65 & 10.0349 & 2.61506 \tabularnewline
210 & 19.2 & 18.0167 & 1.18334 \tabularnewline
211 & 16.6 & 16.7545 & -0.154476 \tabularnewline
212 & 11.2 & 10.1626 & 1.03739 \tabularnewline
213 & 15.25 & 17.6421 & -2.39207 \tabularnewline
214 & 11.9 & 14.0084 & -2.10836 \tabularnewline
215 & 13.2 & 14.2296 & -1.02958 \tabularnewline
216 & 16.35 & 17.2946 & -0.944631 \tabularnewline
217 & 12.4 & 10.8346 & 1.56542 \tabularnewline
218 & 15.85 & 13.493 & 2.35696 \tabularnewline
219 & 18.15 & 19.2665 & -1.11646 \tabularnewline
220 & 11.15 & 12.3989 & -1.24885 \tabularnewline
221 & 15.65 & 13.7656 & 1.88442 \tabularnewline
222 & 17.75 & 22.3402 & -4.59016 \tabularnewline
223 & 7.65 & 8.23105 & -0.581054 \tabularnewline
224 & 12.35 & 9.57442 & 2.77558 \tabularnewline
225 & 15.6 & 13.0849 & 2.51511 \tabularnewline
226 & 19.3 & 17.1365 & 2.16353 \tabularnewline
227 & 15.2 & 12.5075 & 2.69252 \tabularnewline
228 & 17.1 & 15.4646 & 1.6354 \tabularnewline
229 & 15.6 & 11.8678 & 3.73216 \tabularnewline
230 & 18.4 & 15.1314 & 3.26857 \tabularnewline
231 & 19.05 & 15.3231 & 3.72687 \tabularnewline
232 & 18.55 & 16.1693 & 2.38073 \tabularnewline
233 & 19.1 & 19.1578 & -0.0578066 \tabularnewline
234 & 13.1 & 15.3099 & -2.20995 \tabularnewline
235 & 12.85 & 14.5365 & -1.68648 \tabularnewline
236 & 9.5 & 15.6553 & -6.15525 \tabularnewline
237 & 4.5 & 4.66982 & -0.169815 \tabularnewline
238 & 11.85 & 13.7978 & -1.94779 \tabularnewline
239 & 13.6 & 13.9776 & -0.377598 \tabularnewline
240 & 11.7 & 12.0391 & -0.339067 \tabularnewline
241 & 12.4 & 13.6914 & -1.29135 \tabularnewline
242 & 13.35 & 15.5382 & -2.18818 \tabularnewline
243 & 11.4 & 10.3725 & 1.02748 \tabularnewline
244 & 14.9 & 13.7258 & 1.17417 \tabularnewline
245 & 19.9 & 22.9236 & -3.0236 \tabularnewline
246 & 11.2 & 12.2301 & -1.03015 \tabularnewline
247 & 14.6 & 13.5005 & 1.09946 \tabularnewline
248 & 17.6 & 17.4671 & 0.132872 \tabularnewline
249 & 14.05 & 13.2054 & 0.844624 \tabularnewline
250 & 16.1 & 16.4099 & -0.309853 \tabularnewline
251 & 13.35 & 15.5507 & -2.20072 \tabularnewline
252 & 11.85 & 13.6412 & -1.79115 \tabularnewline
253 & 11.95 & 12.1066 & -0.156643 \tabularnewline
254 & 14.75 & 13.8938 & 0.856197 \tabularnewline
255 & 15.15 & 17.5676 & -2.41755 \tabularnewline
256 & 13.2 & 12.7686 & 0.431398 \tabularnewline
257 & 16.85 & 20.9145 & -4.06449 \tabularnewline
258 & 7.85 & 13.8398 & -5.98976 \tabularnewline
259 & 7.7 & 9.92433 & -2.22433 \tabularnewline
260 & 12.6 & 18.6481 & -6.0481 \tabularnewline
261 & 7.85 & 9.07984 & -1.22984 \tabularnewline
262 & 10.95 & 12.7787 & -1.82874 \tabularnewline
263 & 12.35 & 16.439 & -4.08901 \tabularnewline
264 & 9.95 & 8.88318 & 1.06682 \tabularnewline
265 & 14.9 & 13.5217 & 1.37828 \tabularnewline
266 & 16.65 & 16.4087 & 0.24126 \tabularnewline
267 & 13.4 & 13.8305 & -0.430459 \tabularnewline
268 & 13.95 & 12.2198 & 1.73017 \tabularnewline
269 & 15.7 & 13.3765 & 2.32349 \tabularnewline
270 & 16.85 & 17.5524 & -0.702384 \tabularnewline
271 & 10.95 & 9.59379 & 1.35621 \tabularnewline
272 & 15.35 & 15.1051 & 0.244866 \tabularnewline
273 & 12.2 & 11.3005 & 0.899467 \tabularnewline
274 & 15.1 & 14.062 & 1.038 \tabularnewline
275 & 17.75 & 16.8025 & 0.947514 \tabularnewline
276 & 15.2 & 15.0154 & 0.18457 \tabularnewline
277 & 14.6 & 14.0978 & 0.502171 \tabularnewline
278 & 16.65 & 19.705 & -3.05504 \tabularnewline
279 & 8.1 & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=263271&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]11.9332[/C][C]0.966778[/C][/ROW]
[ROW][C]2[/C][C]12.2[/C][C]10.4587[/C][C]1.7413[/C][/ROW]
[ROW][C]3[/C][C]12.8[/C][C]11.3971[/C][C]1.40293[/C][/ROW]
[ROW][C]4[/C][C]7.4[/C][C]11.2893[/C][C]-3.8893[/C][/ROW]
[ROW][C]5[/C][C]6.7[/C][C]9.97537[/C][C]-3.27537[/C][/ROW]
[ROW][C]6[/C][C]12.6[/C][C]14.2168[/C][C]-1.61678[/C][/ROW]
[ROW][C]7[/C][C]14.8[/C][C]11.4365[/C][C]3.36353[/C][/ROW]
[ROW][C]8[/C][C]13.3[/C][C]10.3671[/C][C]2.93294[/C][/ROW]
[ROW][C]9[/C][C]11.1[/C][C]11.3687[/C][C]-0.268724[/C][/ROW]
[ROW][C]10[/C][C]8.2[/C][C]11.9399[/C][C]-3.73989[/C][/ROW]
[ROW][C]11[/C][C]11.4[/C][C]11.6239[/C][C]-0.223919[/C][/ROW]
[ROW][C]12[/C][C]6.4[/C][C]11.5859[/C][C]-5.18595[/C][/ROW]
[ROW][C]13[/C][C]10.6[/C][C]9.42287[/C][C]1.17713[/C][/ROW]
[ROW][C]14[/C][C]12[/C][C]13.1158[/C][C]-1.11584[/C][/ROW]
[ROW][C]15[/C][C]6.3[/C][C]6.59149[/C][C]-0.291488[/C][/ROW]
[ROW][C]16[/C][C]11.3[/C][C]9.74156[/C][C]1.55844[/C][/ROW]
[ROW][C]17[/C][C]11.9[/C][C]12.3725[/C][C]-0.472474[/C][/ROW]
[ROW][C]18[/C][C]9.3[/C][C]10.2164[/C][C]-0.916425[/C][/ROW]
[ROW][C]19[/C][C]9.6[/C][C]11.6029[/C][C]-2.00292[/C][/ROW]
[ROW][C]20[/C][C]10[/C][C]9.63073[/C][C]0.369268[/C][/ROW]
[ROW][C]21[/C][C]6.4[/C][C]9.96625[/C][C]-3.56625[/C][/ROW]
[ROW][C]22[/C][C]13.8[/C][C]11.3566[/C][C]2.44336[/C][/ROW]
[ROW][C]23[/C][C]10.8[/C][C]13.4468[/C][C]-2.6468[/C][/ROW]
[ROW][C]24[/C][C]13.8[/C][C]12.6384[/C][C]1.16163[/C][/ROW]
[ROW][C]25[/C][C]11.7[/C][C]10.8051[/C][C]0.894925[/C][/ROW]
[ROW][C]26[/C][C]10.9[/C][C]14.5724[/C][C]-3.67238[/C][/ROW]
[ROW][C]27[/C][C]16.1[/C][C]13.4813[/C][C]2.61872[/C][/ROW]
[ROW][C]28[/C][C]13.4[/C][C]10.2411[/C][C]3.15888[/C][/ROW]
[ROW][C]29[/C][C]9.9[/C][C]10.5313[/C][C]-0.631313[/C][/ROW]
[ROW][C]30[/C][C]11.5[/C][C]10.8231[/C][C]0.676914[/C][/ROW]
[ROW][C]31[/C][C]8.3[/C][C]9.20912[/C][C]-0.909119[/C][/ROW]
[ROW][C]32[/C][C]11.7[/C][C]11.6016[/C][C]0.098425[/C][/ROW]
[ROW][C]33[/C][C]9[/C][C]10.188[/C][C]-1.18805[/C][/ROW]
[ROW][C]34[/C][C]9.7[/C][C]12.6001[/C][C]-2.9001[/C][/ROW]
[ROW][C]35[/C][C]10.8[/C][C]9.57213[/C][C]1.22787[/C][/ROW]
[ROW][C]36[/C][C]10.3[/C][C]9.42455[/C][C]0.875455[/C][/ROW]
[ROW][C]37[/C][C]10.4[/C][C]10.4735[/C][C]-0.0734886[/C][/ROW]
[ROW][C]38[/C][C]12.7[/C][C]11.1081[/C][C]1.59186[/C][/ROW]
[ROW][C]39[/C][C]9.3[/C][C]11.7449[/C][C]-2.44489[/C][/ROW]
[ROW][C]40[/C][C]11.8[/C][C]12.5091[/C][C]-0.709068[/C][/ROW]
[ROW][C]41[/C][C]5.9[/C][C]9.29257[/C][C]-3.39257[/C][/ROW]
[ROW][C]42[/C][C]11.4[/C][C]11.6946[/C][C]-0.294626[/C][/ROW]
[ROW][C]43[/C][C]13[/C][C]10.7433[/C][C]2.25667[/C][/ROW]
[ROW][C]44[/C][C]10.8[/C][C]11.325[/C][C]-0.524984[/C][/ROW]
[ROW][C]45[/C][C]12.3[/C][C]8.36788[/C][C]3.93212[/C][/ROW]
[ROW][C]46[/C][C]11.3[/C][C]13.1362[/C][C]-1.83621[/C][/ROW]
[ROW][C]47[/C][C]11.8[/C][C]9.59666[/C][C]2.20334[/C][/ROW]
[ROW][C]48[/C][C]7.9[/C][C]9.89323[/C][C]-1.99323[/C][/ROW]
[ROW][C]49[/C][C]12.7[/C][C]8.889[/C][C]3.811[/C][/ROW]
[ROW][C]50[/C][C]12.3[/C][C]9.41772[/C][C]2.88228[/C][/ROW]
[ROW][C]51[/C][C]11.6[/C][C]10.8087[/C][C]0.791278[/C][/ROW]
[ROW][C]52[/C][C]6.7[/C][C]7.65643[/C][C]-0.956433[/C][/ROW]
[ROW][C]53[/C][C]10.9[/C][C]10.7574[/C][C]0.142614[/C][/ROW]
[ROW][C]54[/C][C]12.1[/C][C]11.5794[/C][C]0.52062[/C][/ROW]
[ROW][C]55[/C][C]13.3[/C][C]10.3232[/C][C]2.97676[/C][/ROW]
[ROW][C]56[/C][C]10.1[/C][C]10.236[/C][C]-0.135972[/C][/ROW]
[ROW][C]57[/C][C]5.7[/C][C]10.8879[/C][C]-5.18788[/C][/ROW]
[ROW][C]58[/C][C]14.3[/C][C]10.4344[/C][C]3.86563[/C][/ROW]
[ROW][C]59[/C][C]8[/C][C]7.69772[/C][C]0.302284[/C][/ROW]
[ROW][C]60[/C][C]13.3[/C][C]10.4951[/C][C]2.80492[/C][/ROW]
[ROW][C]61[/C][C]9.3[/C][C]11.952[/C][C]-2.65202[/C][/ROW]
[ROW][C]62[/C][C]12.5[/C][C]11.391[/C][C]1.10899[/C][/ROW]
[ROW][C]63[/C][C]7.6[/C][C]9.16158[/C][C]-1.56158[/C][/ROW]
[ROW][C]64[/C][C]15.9[/C][C]13.2689[/C][C]2.63113[/C][/ROW]
[ROW][C]65[/C][C]9.2[/C][C]11.8036[/C][C]-2.60357[/C][/ROW]
[ROW][C]66[/C][C]9.1[/C][C]8.9939[/C][C]0.106104[/C][/ROW]
[ROW][C]67[/C][C]11.1[/C][C]13.3517[/C][C]-2.25169[/C][/ROW]
[ROW][C]68[/C][C]13[/C][C]13.7826[/C][C]-0.782601[/C][/ROW]
[ROW][C]69[/C][C]14.5[/C][C]12.1637[/C][C]2.33627[/C][/ROW]
[ROW][C]70[/C][C]12.2[/C][C]10.69[/C][C]1.50999[/C][/ROW]
[ROW][C]71[/C][C]12.3[/C][C]13.1741[/C][C]-0.874128[/C][/ROW]
[ROW][C]72[/C][C]11.4[/C][C]10.0598[/C][C]1.34024[/C][/ROW]
[ROW][C]73[/C][C]8.8[/C][C]9.92383[/C][C]-1.12383[/C][/ROW]
[ROW][C]74[/C][C]14.6[/C][C]11.0136[/C][C]3.58644[/C][/ROW]
[ROW][C]75[/C][C]12.6[/C][C]11.1409[/C][C]1.45914[/C][/ROW]
[ROW][C]76[/C][C]NA[/C][C]NA[/C][C]0.833957[/C][/ROW]
[ROW][C]77[/C][C]13[/C][C]11.251[/C][C]1.74895[/C][/ROW]
[ROW][C]78[/C][C]12.6[/C][C]11.814[/C][C]0.785987[/C][/ROW]
[ROW][C]79[/C][C]13.2[/C][C]12.6253[/C][C]0.574654[/C][/ROW]
[ROW][C]80[/C][C]9.9[/C][C]11.5876[/C][C]-1.68765[/C][/ROW]
[ROW][C]81[/C][C]7.7[/C][C]7.51117[/C][C]0.188834[/C][/ROW]
[ROW][C]82[/C][C]10.5[/C][C]7.295[/C][C]3.205[/C][/ROW]
[ROW][C]83[/C][C]13.4[/C][C]12.9406[/C][C]0.459407[/C][/ROW]
[ROW][C]84[/C][C]10.9[/C][C]15.7255[/C][C]-4.82553[/C][/ROW]
[ROW][C]85[/C][C]4.3[/C][C]4.86168[/C][C]-0.561677[/C][/ROW]
[ROW][C]86[/C][C]10.3[/C][C]9.20243[/C][C]1.09757[/C][/ROW]
[ROW][C]87[/C][C]11.8[/C][C]9.64175[/C][C]2.15825[/C][/ROW]
[ROW][C]88[/C][C]11.2[/C][C]9.23093[/C][C]1.96907[/C][/ROW]
[ROW][C]89[/C][C]11.4[/C][C]12.8408[/C][C]-1.44078[/C][/ROW]
[ROW][C]90[/C][C]8.6[/C][C]6.81834[/C][C]1.78166[/C][/ROW]
[ROW][C]91[/C][C]13.2[/C][C]9.17001[/C][C]4.02999[/C][/ROW]
[ROW][C]92[/C][C]12.6[/C][C]17.3023[/C][C]-4.70226[/C][/ROW]
[ROW][C]93[/C][C]5.6[/C][C]6.72811[/C][C]-1.12811[/C][/ROW]
[ROW][C]94[/C][C]9.9[/C][C]11.6144[/C][C]-1.71442[/C][/ROW]
[ROW][C]95[/C][C]8.8[/C][C]11.1498[/C][C]-2.3498[/C][/ROW]
[ROW][C]96[/C][C]7.7[/C][C]8.90778[/C][C]-1.20778[/C][/ROW]
[ROW][C]97[/C][C]9[/C][C]12.9776[/C][C]-3.97759[/C][/ROW]
[ROW][C]98[/C][C]7.3[/C][C]5.792[/C][C]1.508[/C][/ROW]
[ROW][C]99[/C][C]11.4[/C][C]8.20433[/C][C]3.19567[/C][/ROW]
[ROW][C]100[/C][C]13.6[/C][C]16.0821[/C][C]-2.48207[/C][/ROW]
[ROW][C]101[/C][C]7.9[/C][C]5.87786[/C][C]2.02214[/C][/ROW]
[ROW][C]102[/C][C]10.7[/C][C]10.6776[/C][C]0.0224373[/C][/ROW]
[ROW][C]103[/C][C]10.3[/C][C]11.2371[/C][C]-0.93708[/C][/ROW]
[ROW][C]104[/C][C]8.3[/C][C]9.28399[/C][C]-0.983987[/C][/ROW]
[ROW][C]105[/C][C]9.6[/C][C]5.40993[/C][C]4.19007[/C][/ROW]
[ROW][C]106[/C][C]14.2[/C][C]15.471[/C][C]-1.27097[/C][/ROW]
[ROW][C]107[/C][C]8.5[/C][C]4.98475[/C][C]3.51525[/C][/ROW]
[ROW][C]108[/C][C]13.5[/C][C]18.2118[/C][C]-4.71177[/C][/ROW]
[ROW][C]109[/C][C]4.9[/C][C]6.70424[/C][C]-1.80424[/C][/ROW]
[ROW][C]110[/C][C]6.4[/C][C]7.09285[/C][C]-0.692848[/C][/ROW]
[ROW][C]111[/C][C]9.6[/C][C]8.56584[/C][C]1.03416[/C][/ROW]
[ROW][C]112[/C][C]11.6[/C][C]10.3588[/C][C]1.24121[/C][/ROW]
[ROW][C]113[/C][C]11.1[/C][C]16.7615[/C][C]-5.66147[/C][/ROW]
[ROW][C]114[/C][C]4.35[/C][C]3.42171[/C][C]0.928291[/C][/ROW]
[ROW][C]115[/C][C]12.7[/C][C]9.86883[/C][C]2.83117[/C][/ROW]
[ROW][C]116[/C][C]18.1[/C][C]15.7959[/C][C]2.30412[/C][/ROW]
[ROW][C]117[/C][C]17.85[/C][C]18.7856[/C][C]-0.935631[/C][/ROW]
[ROW][C]118[/C][C]16.6[/C][C]15.801[/C][C]0.799012[/C][/ROW]
[ROW][C]119[/C][C]12.6[/C][C]15.8724[/C][C]-3.27243[/C][/ROW]
[ROW][C]120[/C][C]17.1[/C][C]15.2192[/C][C]1.88079[/C][/ROW]
[ROW][C]121[/C][C]19.1[/C][C]21.4218[/C][C]-2.32178[/C][/ROW]
[ROW][C]122[/C][C]16.1[/C][C]14.3857[/C][C]1.71431[/C][/ROW]
[ROW][C]123[/C][C]13.35[/C][C]12.359[/C][C]0.990996[/C][/ROW]
[ROW][C]124[/C][C]18.4[/C][C]13.832[/C][C]4.56801[/C][/ROW]
[ROW][C]125[/C][C]14.7[/C][C]17.7711[/C][C]-3.07115[/C][/ROW]
[ROW][C]126[/C][C]10.6[/C][C]11.2411[/C][C]-0.64113[/C][/ROW]
[ROW][C]127[/C][C]12.6[/C][C]11.1575[/C][C]1.44253[/C][/ROW]
[ROW][C]128[/C][C]16.2[/C][C]18.1292[/C][C]-1.92924[/C][/ROW]
[ROW][C]129[/C][C]13.6[/C][C]11.7972[/C][C]1.80278[/C][/ROW]
[ROW][C]130[/C][C]18.9[/C][C]17.6989[/C][C]1.20115[/C][/ROW]
[ROW][C]131[/C][C]14.1[/C][C]12.6262[/C][C]1.47376[/C][/ROW]
[ROW][C]132[/C][C]14.5[/C][C]16.6368[/C][C]-2.13684[/C][/ROW]
[ROW][C]133[/C][C]16.15[/C][C]14.9252[/C][C]1.22484[/C][/ROW]
[ROW][C]134[/C][C]14.75[/C][C]13.4879[/C][C]1.26206[/C][/ROW]
[ROW][C]135[/C][C]14.8[/C][C]14.5762[/C][C]0.223789[/C][/ROW]
[ROW][C]136[/C][C]12.45[/C][C]12.9463[/C][C]-0.496263[/C][/ROW]
[ROW][C]137[/C][C]12.65[/C][C]9.15642[/C][C]3.49358[/C][/ROW]
[ROW][C]138[/C][C]17.35[/C][C]18.8849[/C][C]-1.53494[/C][/ROW]
[ROW][C]139[/C][C]8.6[/C][C]7.35734[/C][C]1.24266[/C][/ROW]
[ROW][C]140[/C][C]18.4[/C][C]18.2505[/C][C]0.149462[/C][/ROW]
[ROW][C]141[/C][C]16.1[/C][C]17.5255[/C][C]-1.42546[/C][/ROW]
[ROW][C]142[/C][C]11.6[/C][C]8.37849[/C][C]3.22151[/C][/ROW]
[ROW][C]143[/C][C]17.75[/C][C]17.1657[/C][C]0.584271[/C][/ROW]
[ROW][C]144[/C][C]15.25[/C][C]12.5963[/C][C]2.65369[/C][/ROW]
[ROW][C]145[/C][C]17.65[/C][C]17.3092[/C][C]0.340791[/C][/ROW]
[ROW][C]146[/C][C]16.35[/C][C]14.9597[/C][C]1.39035[/C][/ROW]
[ROW][C]147[/C][C]17.65[/C][C]17.5459[/C][C]0.104058[/C][/ROW]
[ROW][C]148[/C][C]13.6[/C][C]13.2188[/C][C]0.381219[/C][/ROW]
[ROW][C]149[/C][C]14.35[/C][C]15.3261[/C][C]-0.976058[/C][/ROW]
[ROW][C]150[/C][C]14.75[/C][C]13.3686[/C][C]1.38138[/C][/ROW]
[ROW][C]151[/C][C]18.25[/C][C]24.15[/C][C]-5.89999[/C][/ROW]
[ROW][C]152[/C][C]9.9[/C][C]8.10066[/C][C]1.79934[/C][/ROW]
[ROW][C]153[/C][C]16[/C][C]13.7026[/C][C]2.29737[/C][/ROW]
[ROW][C]154[/C][C]18.25[/C][C]18.9608[/C][C]-0.710777[/C][/ROW]
[ROW][C]155[/C][C]16.85[/C][C]15.1568[/C][C]1.69318[/C][/ROW]
[ROW][C]156[/C][C]14.6[/C][C]14.7958[/C][C]-0.195819[/C][/ROW]
[ROW][C]157[/C][C]13.85[/C][C]11.7445[/C][C]2.10551[/C][/ROW]
[ROW][C]158[/C][C]18.95[/C][C]17.9954[/C][C]0.954556[/C][/ROW]
[ROW][C]159[/C][C]15.6[/C][C]18.3693[/C][C]-2.76932[/C][/ROW]
[ROW][C]160[/C][C]14.85[/C][C]17.104[/C][C]-2.25397[/C][/ROW]
[ROW][C]161[/C][C]11.75[/C][C]9.35021[/C][C]2.39979[/C][/ROW]
[ROW][C]162[/C][C]18.45[/C][C]17.581[/C][C]0.868958[/C][/ROW]
[ROW][C]163[/C][C]15.9[/C][C]15.3566[/C][C]0.543394[/C][/ROW]
[ROW][C]164[/C][C]17.1[/C][C]9.70151[/C][C]7.39849[/C][/ROW]
[ROW][C]165[/C][C]16.1[/C][C]15.0113[/C][C]1.08867[/C][/ROW]
[ROW][C]166[/C][C]19.9[/C][C]20.9467[/C][C]-1.04671[/C][/ROW]
[ROW][C]167[/C][C]10.95[/C][C]9.4779[/C][C]1.4721[/C][/ROW]
[ROW][C]168[/C][C]18.45[/C][C]16.4972[/C][C]1.95279[/C][/ROW]
[ROW][C]169[/C][C]15.1[/C][C]15.8908[/C][C]-0.790761[/C][/ROW]
[ROW][C]170[/C][C]15[/C][C]18.327[/C][C]-3.32695[/C][/ROW]
[ROW][C]171[/C][C]11.35[/C][C]10.4568[/C][C]0.893239[/C][/ROW]
[ROW][C]172[/C][C]15.95[/C][C]13.2835[/C][C]2.66654[/C][/ROW]
[ROW][C]173[/C][C]18.1[/C][C]19.5493[/C][C]-1.44935[/C][/ROW]
[ROW][C]174[/C][C]14.6[/C][C]15.3539[/C][C]-0.753873[/C][/ROW]
[ROW][C]175[/C][C]15.4[/C][C]16.1305[/C][C]-0.730477[/C][/ROW]
[ROW][C]176[/C][C]15.4[/C][C]12.6712[/C][C]2.72881[/C][/ROW]
[ROW][C]177[/C][C]17.6[/C][C]18.6112[/C][C]-1.01117[/C][/ROW]
[ROW][C]178[/C][C]13.35[/C][C]10.9908[/C][C]2.35924[/C][/ROW]
[ROW][C]179[/C][C]19.1[/C][C]19.6469[/C][C]-0.546885[/C][/ROW]
[ROW][C]180[/C][C]15.35[/C][C]19.7272[/C][C]-4.37719[/C][/ROW]
[ROW][C]181[/C][C]7.6[/C][C]9.98018[/C][C]-2.38018[/C][/ROW]
[ROW][C]182[/C][C]13.4[/C][C]15.1598[/C][C]-1.7598[/C][/ROW]
[ROW][C]183[/C][C]13.9[/C][C]11.5159[/C][C]2.38411[/C][/ROW]
[ROW][C]184[/C][C]19.1[/C][C]18.7808[/C][C]0.319197[/C][/ROW]
[ROW][C]185[/C][C]15.25[/C][C]17.3243[/C][C]-2.07425[/C][/ROW]
[ROW][C]186[/C][C]12.9[/C][C]12.6896[/C][C]0.210424[/C][/ROW]
[ROW][C]187[/C][C]16.1[/C][C]13.5989[/C][C]2.50115[/C][/ROW]
[ROW][C]188[/C][C]17.35[/C][C]19.2115[/C][C]-1.8615[/C][/ROW]
[ROW][C]189[/C][C]13.15[/C][C]15.0899[/C][C]-1.93992[/C][/ROW]
[ROW][C]190[/C][C]12.15[/C][C]11.9192[/C][C]0.230839[/C][/ROW]
[ROW][C]191[/C][C]12.6[/C][C]14.7511[/C][C]-2.15106[/C][/ROW]
[ROW][C]192[/C][C]10.35[/C][C]8.76814[/C][C]1.58186[/C][/ROW]
[ROW][C]193[/C][C]15.4[/C][C]18.082[/C][C]-2.68199[/C][/ROW]
[ROW][C]194[/C][C]9.6[/C][C]6.1537[/C][C]3.4463[/C][/ROW]
[ROW][C]195[/C][C]18.2[/C][C]18.6888[/C][C]-0.488831[/C][/ROW]
[ROW][C]196[/C][C]13.6[/C][C]13.5235[/C][C]0.0765281[/C][/ROW]
[ROW][C]197[/C][C]14.85[/C][C]16.8383[/C][C]-1.98835[/C][/ROW]
[ROW][C]198[/C][C]14.75[/C][C]14.823[/C][C]-0.0730054[/C][/ROW]
[ROW][C]199[/C][C]14.1[/C][C]12.5878[/C][C]1.51223[/C][/ROW]
[ROW][C]200[/C][C]14.9[/C][C]13.5208[/C][C]1.37924[/C][/ROW]
[ROW][C]201[/C][C]16.25[/C][C]16.6713[/C][C]-0.421293[/C][/ROW]
[ROW][C]202[/C][C]19.25[/C][C]18.2605[/C][C]0.989538[/C][/ROW]
[ROW][C]203[/C][C]13.6[/C][C]14.4817[/C][C]-0.881744[/C][/ROW]
[ROW][C]204[/C][C]13.6[/C][C]13.774[/C][C]-0.174031[/C][/ROW]
[ROW][C]205[/C][C]15.65[/C][C]16.4383[/C][C]-0.788257[/C][/ROW]
[ROW][C]206[/C][C]12.75[/C][C]11.2694[/C][C]1.4806[/C][/ROW]
[ROW][C]207[/C][C]14.6[/C][C]15.8824[/C][C]-1.28236[/C][/ROW]
[ROW][C]208[/C][C]9.85[/C][C]9.39369[/C][C]0.456315[/C][/ROW]
[ROW][C]209[/C][C]12.65[/C][C]10.0349[/C][C]2.61506[/C][/ROW]
[ROW][C]210[/C][C]19.2[/C][C]18.0167[/C][C]1.18334[/C][/ROW]
[ROW][C]211[/C][C]16.6[/C][C]16.7545[/C][C]-0.154476[/C][/ROW]
[ROW][C]212[/C][C]11.2[/C][C]10.1626[/C][C]1.03739[/C][/ROW]
[ROW][C]213[/C][C]15.25[/C][C]17.6421[/C][C]-2.39207[/C][/ROW]
[ROW][C]214[/C][C]11.9[/C][C]14.0084[/C][C]-2.10836[/C][/ROW]
[ROW][C]215[/C][C]13.2[/C][C]14.2296[/C][C]-1.02958[/C][/ROW]
[ROW][C]216[/C][C]16.35[/C][C]17.2946[/C][C]-0.944631[/C][/ROW]
[ROW][C]217[/C][C]12.4[/C][C]10.8346[/C][C]1.56542[/C][/ROW]
[ROW][C]218[/C][C]15.85[/C][C]13.493[/C][C]2.35696[/C][/ROW]
[ROW][C]219[/C][C]18.15[/C][C]19.2665[/C][C]-1.11646[/C][/ROW]
[ROW][C]220[/C][C]11.15[/C][C]12.3989[/C][C]-1.24885[/C][/ROW]
[ROW][C]221[/C][C]15.65[/C][C]13.7656[/C][C]1.88442[/C][/ROW]
[ROW][C]222[/C][C]17.75[/C][C]22.3402[/C][C]-4.59016[/C][/ROW]
[ROW][C]223[/C][C]7.65[/C][C]8.23105[/C][C]-0.581054[/C][/ROW]
[ROW][C]224[/C][C]12.35[/C][C]9.57442[/C][C]2.77558[/C][/ROW]
[ROW][C]225[/C][C]15.6[/C][C]13.0849[/C][C]2.51511[/C][/ROW]
[ROW][C]226[/C][C]19.3[/C][C]17.1365[/C][C]2.16353[/C][/ROW]
[ROW][C]227[/C][C]15.2[/C][C]12.5075[/C][C]2.69252[/C][/ROW]
[ROW][C]228[/C][C]17.1[/C][C]15.4646[/C][C]1.6354[/C][/ROW]
[ROW][C]229[/C][C]15.6[/C][C]11.8678[/C][C]3.73216[/C][/ROW]
[ROW][C]230[/C][C]18.4[/C][C]15.1314[/C][C]3.26857[/C][/ROW]
[ROW][C]231[/C][C]19.05[/C][C]15.3231[/C][C]3.72687[/C][/ROW]
[ROW][C]232[/C][C]18.55[/C][C]16.1693[/C][C]2.38073[/C][/ROW]
[ROW][C]233[/C][C]19.1[/C][C]19.1578[/C][C]-0.0578066[/C][/ROW]
[ROW][C]234[/C][C]13.1[/C][C]15.3099[/C][C]-2.20995[/C][/ROW]
[ROW][C]235[/C][C]12.85[/C][C]14.5365[/C][C]-1.68648[/C][/ROW]
[ROW][C]236[/C][C]9.5[/C][C]15.6553[/C][C]-6.15525[/C][/ROW]
[ROW][C]237[/C][C]4.5[/C][C]4.66982[/C][C]-0.169815[/C][/ROW]
[ROW][C]238[/C][C]11.85[/C][C]13.7978[/C][C]-1.94779[/C][/ROW]
[ROW][C]239[/C][C]13.6[/C][C]13.9776[/C][C]-0.377598[/C][/ROW]
[ROW][C]240[/C][C]11.7[/C][C]12.0391[/C][C]-0.339067[/C][/ROW]
[ROW][C]241[/C][C]12.4[/C][C]13.6914[/C][C]-1.29135[/C][/ROW]
[ROW][C]242[/C][C]13.35[/C][C]15.5382[/C][C]-2.18818[/C][/ROW]
[ROW][C]243[/C][C]11.4[/C][C]10.3725[/C][C]1.02748[/C][/ROW]
[ROW][C]244[/C][C]14.9[/C][C]13.7258[/C][C]1.17417[/C][/ROW]
[ROW][C]245[/C][C]19.9[/C][C]22.9236[/C][C]-3.0236[/C][/ROW]
[ROW][C]246[/C][C]11.2[/C][C]12.2301[/C][C]-1.03015[/C][/ROW]
[ROW][C]247[/C][C]14.6[/C][C]13.5005[/C][C]1.09946[/C][/ROW]
[ROW][C]248[/C][C]17.6[/C][C]17.4671[/C][C]0.132872[/C][/ROW]
[ROW][C]249[/C][C]14.05[/C][C]13.2054[/C][C]0.844624[/C][/ROW]
[ROW][C]250[/C][C]16.1[/C][C]16.4099[/C][C]-0.309853[/C][/ROW]
[ROW][C]251[/C][C]13.35[/C][C]15.5507[/C][C]-2.20072[/C][/ROW]
[ROW][C]252[/C][C]11.85[/C][C]13.6412[/C][C]-1.79115[/C][/ROW]
[ROW][C]253[/C][C]11.95[/C][C]12.1066[/C][C]-0.156643[/C][/ROW]
[ROW][C]254[/C][C]14.75[/C][C]13.8938[/C][C]0.856197[/C][/ROW]
[ROW][C]255[/C][C]15.15[/C][C]17.5676[/C][C]-2.41755[/C][/ROW]
[ROW][C]256[/C][C]13.2[/C][C]12.7686[/C][C]0.431398[/C][/ROW]
[ROW][C]257[/C][C]16.85[/C][C]20.9145[/C][C]-4.06449[/C][/ROW]
[ROW][C]258[/C][C]7.85[/C][C]13.8398[/C][C]-5.98976[/C][/ROW]
[ROW][C]259[/C][C]7.7[/C][C]9.92433[/C][C]-2.22433[/C][/ROW]
[ROW][C]260[/C][C]12.6[/C][C]18.6481[/C][C]-6.0481[/C][/ROW]
[ROW][C]261[/C][C]7.85[/C][C]9.07984[/C][C]-1.22984[/C][/ROW]
[ROW][C]262[/C][C]10.95[/C][C]12.7787[/C][C]-1.82874[/C][/ROW]
[ROW][C]263[/C][C]12.35[/C][C]16.439[/C][C]-4.08901[/C][/ROW]
[ROW][C]264[/C][C]9.95[/C][C]8.88318[/C][C]1.06682[/C][/ROW]
[ROW][C]265[/C][C]14.9[/C][C]13.5217[/C][C]1.37828[/C][/ROW]
[ROW][C]266[/C][C]16.65[/C][C]16.4087[/C][C]0.24126[/C][/ROW]
[ROW][C]267[/C][C]13.4[/C][C]13.8305[/C][C]-0.430459[/C][/ROW]
[ROW][C]268[/C][C]13.95[/C][C]12.2198[/C][C]1.73017[/C][/ROW]
[ROW][C]269[/C][C]15.7[/C][C]13.3765[/C][C]2.32349[/C][/ROW]
[ROW][C]270[/C][C]16.85[/C][C]17.5524[/C][C]-0.702384[/C][/ROW]
[ROW][C]271[/C][C]10.95[/C][C]9.59379[/C][C]1.35621[/C][/ROW]
[ROW][C]272[/C][C]15.35[/C][C]15.1051[/C][C]0.244866[/C][/ROW]
[ROW][C]273[/C][C]12.2[/C][C]11.3005[/C][C]0.899467[/C][/ROW]
[ROW][C]274[/C][C]15.1[/C][C]14.062[/C][C]1.038[/C][/ROW]
[ROW][C]275[/C][C]17.75[/C][C]16.8025[/C][C]0.947514[/C][/ROW]
[ROW][C]276[/C][C]15.2[/C][C]15.0154[/C][C]0.18457[/C][/ROW]
[ROW][C]277[/C][C]14.6[/C][C]14.0978[/C][C]0.502171[/C][/ROW]
[ROW][C]278[/C][C]16.65[/C][C]19.705[/C][C]-3.05504[/C][/ROW]
[ROW][C]279[/C][C]8.1[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=263271&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=263271&T=4

As an alternative you can also use a QR Code:

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

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	InterpolationForecast	ResidualsPrediction Error
1	12.9	11.9332	0.966778
2	12.2	10.4587	1.7413
3	12.8	11.3971	1.40293
4	7.4	11.2893	-3.8893
5	6.7	9.97537	-3.27537
6	12.6	14.2168	-1.61678
7	14.8	11.4365	3.36353
8	13.3	10.3671	2.93294
9	11.1	11.3687	-0.268724
10	8.2	11.9399	-3.73989
11	11.4	11.6239	-0.223919
12	6.4	11.5859	-5.18595
13	10.6	9.42287	1.17713
14	12	13.1158	-1.11584
15	6.3	6.59149	-0.291488
16	11.3	9.74156	1.55844
17	11.9	12.3725	-0.472474
18	9.3	10.2164	-0.916425
19	9.6	11.6029	-2.00292
20	10	9.63073	0.369268
21	6.4	9.96625	-3.56625
22	13.8	11.3566	2.44336
23	10.8	13.4468	-2.6468
24	13.8	12.6384	1.16163
25	11.7	10.8051	0.894925
26	10.9	14.5724	-3.67238
27	16.1	13.4813	2.61872
28	13.4	10.2411	3.15888
29	9.9	10.5313	-0.631313
30	11.5	10.8231	0.676914
31	8.3	9.20912	-0.909119
32	11.7	11.6016	0.098425
33	9	10.188	-1.18805
34	9.7	12.6001	-2.9001
35	10.8	9.57213	1.22787
36	10.3	9.42455	0.875455
37	10.4	10.4735	-0.0734886
38	12.7	11.1081	1.59186
39	9.3	11.7449	-2.44489
40	11.8	12.5091	-0.709068
41	5.9	9.29257	-3.39257
42	11.4	11.6946	-0.294626
43	13	10.7433	2.25667
44	10.8	11.325	-0.524984
45	12.3	8.36788	3.93212
46	11.3	13.1362	-1.83621
47	11.8	9.59666	2.20334
48	7.9	9.89323	-1.99323
49	12.7	8.889	3.811
50	12.3	9.41772	2.88228
51	11.6	10.8087	0.791278
52	6.7	7.65643	-0.956433
53	10.9	10.7574	0.142614
54	12.1	11.5794	0.52062
55	13.3	10.3232	2.97676
56	10.1	10.236	-0.135972
57	5.7	10.8879	-5.18788
58	14.3	10.4344	3.86563
59	8	7.69772	0.302284
60	13.3	10.4951	2.80492
61	9.3	11.952	-2.65202
62	12.5	11.391	1.10899
63	7.6	9.16158	-1.56158
64	15.9	13.2689	2.63113
65	9.2	11.8036	-2.60357
66	9.1	8.9939	0.106104
67	11.1	13.3517	-2.25169
68	13	13.7826	-0.782601
69	14.5	12.1637	2.33627
70	12.2	10.69	1.50999
71	12.3	13.1741	-0.874128
72	11.4	10.0598	1.34024
73	8.8	9.92383	-1.12383
74	14.6	11.0136	3.58644
75	12.6	11.1409	1.45914
76	NA	NA	0.833957
77	13	11.251	1.74895
78	12.6	11.814	0.785987
79	13.2	12.6253	0.574654
80	9.9	11.5876	-1.68765
81	7.7	7.51117	0.188834
82	10.5	7.295	3.205
83	13.4	12.9406	0.459407
84	10.9	15.7255	-4.82553
85	4.3	4.86168	-0.561677
86	10.3	9.20243	1.09757
87	11.8	9.64175	2.15825
88	11.2	9.23093	1.96907
89	11.4	12.8408	-1.44078
90	8.6	6.81834	1.78166
91	13.2	9.17001	4.02999
92	12.6	17.3023	-4.70226
93	5.6	6.72811	-1.12811
94	9.9	11.6144	-1.71442
95	8.8	11.1498	-2.3498
96	7.7	8.90778	-1.20778
97	9	12.9776	-3.97759
98	7.3	5.792	1.508
99	11.4	8.20433	3.19567
100	13.6	16.0821	-2.48207
101	7.9	5.87786	2.02214
102	10.7	10.6776	0.0224373
103	10.3	11.2371	-0.93708
104	8.3	9.28399	-0.983987
105	9.6	5.40993	4.19007
106	14.2	15.471	-1.27097
107	8.5	4.98475	3.51525
108	13.5	18.2118	-4.71177
109	4.9	6.70424	-1.80424
110	6.4	7.09285	-0.692848
111	9.6	8.56584	1.03416
112	11.6	10.3588	1.24121
113	11.1	16.7615	-5.66147
114	4.35	3.42171	0.928291
115	12.7	9.86883	2.83117
116	18.1	15.7959	2.30412
117	17.85	18.7856	-0.935631
118	16.6	15.801	0.799012
119	12.6	15.8724	-3.27243
120	17.1	15.2192	1.88079
121	19.1	21.4218	-2.32178
122	16.1	14.3857	1.71431
123	13.35	12.359	0.990996
124	18.4	13.832	4.56801
125	14.7	17.7711	-3.07115
126	10.6	11.2411	-0.64113
127	12.6	11.1575	1.44253
128	16.2	18.1292	-1.92924
129	13.6	11.7972	1.80278
130	18.9	17.6989	1.20115
131	14.1	12.6262	1.47376
132	14.5	16.6368	-2.13684
133	16.15	14.9252	1.22484
134	14.75	13.4879	1.26206
135	14.8	14.5762	0.223789
136	12.45	12.9463	-0.496263
137	12.65	9.15642	3.49358
138	17.35	18.8849	-1.53494
139	8.6	7.35734	1.24266
140	18.4	18.2505	0.149462
141	16.1	17.5255	-1.42546
142	11.6	8.37849	3.22151
143	17.75	17.1657	0.584271
144	15.25	12.5963	2.65369
145	17.65	17.3092	0.340791
146	16.35	14.9597	1.39035
147	17.65	17.5459	0.104058
148	13.6	13.2188	0.381219
149	14.35	15.3261	-0.976058
150	14.75	13.3686	1.38138
151	18.25	24.15	-5.89999
152	9.9	8.10066	1.79934
153	16	13.7026	2.29737
154	18.25	18.9608	-0.710777
155	16.85	15.1568	1.69318
156	14.6	14.7958	-0.195819
157	13.85	11.7445	2.10551
158	18.95	17.9954	0.954556
159	15.6	18.3693	-2.76932
160	14.85	17.104	-2.25397
161	11.75	9.35021	2.39979
162	18.45	17.581	0.868958
163	15.9	15.3566	0.543394
164	17.1	9.70151	7.39849
165	16.1	15.0113	1.08867
166	19.9	20.9467	-1.04671
167	10.95	9.4779	1.4721
168	18.45	16.4972	1.95279
169	15.1	15.8908	-0.790761
170	15	18.327	-3.32695
171	11.35	10.4568	0.893239
172	15.95	13.2835	2.66654
173	18.1	19.5493	-1.44935
174	14.6	15.3539	-0.753873
175	15.4	16.1305	-0.730477
176	15.4	12.6712	2.72881
177	17.6	18.6112	-1.01117
178	13.35	10.9908	2.35924
179	19.1	19.6469	-0.546885
180	15.35	19.7272	-4.37719
181	7.6	9.98018	-2.38018
182	13.4	15.1598	-1.7598
183	13.9	11.5159	2.38411
184	19.1	18.7808	0.319197
185	15.25	17.3243	-2.07425
186	12.9	12.6896	0.210424
187	16.1	13.5989	2.50115
188	17.35	19.2115	-1.8615
189	13.15	15.0899	-1.93992
190	12.15	11.9192	0.230839
191	12.6	14.7511	-2.15106
192	10.35	8.76814	1.58186
193	15.4	18.082	-2.68199
194	9.6	6.1537	3.4463
195	18.2	18.6888	-0.488831
196	13.6	13.5235	0.0765281
197	14.85	16.8383	-1.98835
198	14.75	14.823	-0.0730054
199	14.1	12.5878	1.51223
200	14.9	13.5208	1.37924
201	16.25	16.6713	-0.421293
202	19.25	18.2605	0.989538
203	13.6	14.4817	-0.881744
204	13.6	13.774	-0.174031
205	15.65	16.4383	-0.788257
206	12.75	11.2694	1.4806
207	14.6	15.8824	-1.28236
208	9.85	9.39369	0.456315
209	12.65	10.0349	2.61506
210	19.2	18.0167	1.18334
211	16.6	16.7545	-0.154476
212	11.2	10.1626	1.03739
213	15.25	17.6421	-2.39207
214	11.9	14.0084	-2.10836
215	13.2	14.2296	-1.02958
216	16.35	17.2946	-0.944631
217	12.4	10.8346	1.56542
218	15.85	13.493	2.35696
219	18.15	19.2665	-1.11646
220	11.15	12.3989	-1.24885
221	15.65	13.7656	1.88442
222	17.75	22.3402	-4.59016
223	7.65	8.23105	-0.581054
224	12.35	9.57442	2.77558
225	15.6	13.0849	2.51511
226	19.3	17.1365	2.16353
227	15.2	12.5075	2.69252
228	17.1	15.4646	1.6354
229	15.6	11.8678	3.73216
230	18.4	15.1314	3.26857
231	19.05	15.3231	3.72687
232	18.55	16.1693	2.38073
233	19.1	19.1578	-0.0578066
234	13.1	15.3099	-2.20995
235	12.85	14.5365	-1.68648
236	9.5	15.6553	-6.15525
237	4.5	4.66982	-0.169815
238	11.85	13.7978	-1.94779
239	13.6	13.9776	-0.377598
240	11.7	12.0391	-0.339067
241	12.4	13.6914	-1.29135
242	13.35	15.5382	-2.18818
243	11.4	10.3725	1.02748
244	14.9	13.7258	1.17417
245	19.9	22.9236	-3.0236
246	11.2	12.2301	-1.03015
247	14.6	13.5005	1.09946
248	17.6	17.4671	0.132872
249	14.05	13.2054	0.844624
250	16.1	16.4099	-0.309853
251	13.35	15.5507	-2.20072
252	11.85	13.6412	-1.79115
253	11.95	12.1066	-0.156643
254	14.75	13.8938	0.856197
255	15.15	17.5676	-2.41755
256	13.2	12.7686	0.431398
257	16.85	20.9145	-4.06449
258	7.85	13.8398	-5.98976
259	7.7	9.92433	-2.22433
260	12.6	18.6481	-6.0481
261	7.85	9.07984	-1.22984
262	10.95	12.7787	-1.82874
263	12.35	16.439	-4.08901
264	9.95	8.88318	1.06682
265	14.9	13.5217	1.37828
266	16.65	16.4087	0.24126
267	13.4	13.8305	-0.430459
268	13.95	12.2198	1.73017
269	15.7	13.3765	2.32349
270	16.85	17.5524	-0.702384
271	10.95	9.59379	1.35621
272	15.35	15.1051	0.244866
273	12.2	11.3005	0.899467
274	15.1	14.062	1.038
275	17.75	16.8025	0.947514
276	15.2	15.0154	0.18457
277	14.6	14.0978	0.502171
278	16.65	19.705	-3.05504
279	8.1	NA	NA

Goldfeld-Quandt test for Heteroskedasticity
p-values	Alternative Hypothesis
breakpoint index	greater	2-sided	less
15	0.701515	0.59697	0.298485
16	0.548357	0.903286	0.451643
17	0.406344	0.812688	0.593656
18	0.288406	0.576811	0.711594
19	0.699511	0.600978	0.300489
20	0.62737	0.745261	0.37263
21	0.54659	0.906819	0.45341
22	0.530635	0.93873	0.469365
23	0.46668	0.93336	0.53332
24	0.380293	0.760586	0.619707
25	0.31916	0.63832	0.68084
26	0.262296	0.524592	0.737704
27	0.238935	0.47787	0.761065
28	0.262356	0.524713	0.737644
29	0.20569	0.411379	0.79431
30	0.175592	0.351184	0.824408
31	0.192903	0.385806	0.807097
32	0.164014	0.328029	0.835986
33	0.126973	0.253947	0.873027
34	0.138145	0.276291	0.861855
35	0.133542	0.267084	0.866458
36	0.103033	0.206067	0.896967
37	0.0772193	0.154439	0.922781
38	0.113338	0.226675	0.886662
39	0.115021	0.230042	0.884979
40	0.112401	0.224803	0.887599
41	0.165134	0.330269	0.834866
42	0.133925	0.267851	0.866075
43	0.135394	0.270788	0.864606
44	0.107306	0.214611	0.892694
45	0.102326	0.204652	0.897674
46	0.0939724	0.187945	0.906028
47	0.119059	0.238118	0.880941
48	0.182182	0.364364	0.817818
49	0.218038	0.436077	0.781962
50	0.201938	0.403876	0.798062
51	0.168194	0.336389	0.831806
52	0.175772	0.351544	0.824228
53	0.170325	0.34065	0.829675
54	0.159403	0.318805	0.840597
55	0.265626	0.531253	0.734374
56	0.229086	0.458173	0.770914
57	0.524473	0.951054	0.475527
58	0.615512	0.768975	0.384488
59	0.587977	0.824045	0.412023
60	0.580235	0.839531	0.419765
61	0.585342	0.829315	0.414658
62	0.550344	0.899312	0.449656
63	0.572442	0.855115	0.427558
64	0.634981	0.730039	0.365019
65	0.625129	0.749742	0.374871
66	0.60184	0.79632	0.39816
67	0.594723	0.810555	0.405277
68	0.56277	0.874459	0.43723
69	0.577587	0.844825	0.422413
70	0.541981	0.916039	0.458019
71	0.505937	0.988125	0.494063
72	0.476153	0.952305	0.523847
73	0.452147	0.904293	0.547853
74	0.466348	0.932696	0.533652
75	0.436666	0.873332	0.563334
76	0.406818	0.813635	0.593182
77	0.377502	0.755005	0.622498
78	0.369787	0.739573	0.630213
79	0.337959	0.675918	0.662041
80	0.33443	0.668859	0.66557
81	0.303563	0.607127	0.696437
82	0.325993	0.651986	0.674007
83	0.294693	0.589385	0.705307
84	0.451267	0.902534	0.548733
85	0.417701	0.835401	0.582299
86	0.384463	0.768926	0.615537
87	0.369271	0.738542	0.630729
88	0.34872	0.697441	0.65128
89	0.346544	0.693088	0.653456
90	0.329297	0.658595	0.670703
91	0.403517	0.807034	0.596483
92	0.542795	0.91441	0.457205
93	0.511337	0.977327	0.488663
94	0.497812	0.995624	0.502188
95	0.500664	0.998672	0.499336
96	0.471901	0.943801	0.528099
97	0.53394	0.932119	0.46606
98	0.513712	0.972575	0.486288
99	0.545212	0.909575	0.454788
100	0.57918	0.841641	0.42082
101	0.568085	0.863829	0.431915
102	0.531533	0.936935	0.468467
103	0.520776	0.958448	0.479224
104	0.49345	0.986899	0.50655
105	0.580248	0.839504	0.419752
106	0.559884	0.880233	0.440116
107	0.607283	0.785434	0.392717
108	0.720974	0.558052	0.279026
109	0.720981	0.558037	0.279019
110	0.700247	0.599506	0.299753
111	0.680759	0.638483	0.319241
112	0.649195	0.70161	0.350805
113	0.706585	0.586829	0.293415
114	0.735228	0.529545	0.264772
115	0.804274	0.391451	0.195726
116	0.810739	0.378523	0.189261
117	0.805413	0.389173	0.194587
118	0.785967	0.428066	0.214033
119	0.806044	0.387912	0.193956
120	0.796045	0.40791	0.203955
121	0.802698	0.394605	0.197302
122	0.796948	0.406104	0.203052
123	0.780365	0.439269	0.219635
124	0.856656	0.286687	0.143344
125	0.873256	0.253489	0.126744
126	0.854776	0.290447	0.145224
127	0.847806	0.304389	0.152194
128	0.846432	0.307136	0.153568
129	0.835193	0.329615	0.164807
130	0.818238	0.363524	0.181762
131	0.803087	0.393826	0.196913
132	0.804579	0.390843	0.195421
133	0.785303	0.429393	0.214697
134	0.765916	0.468168	0.234084
135	0.747076	0.505847	0.252924
136	0.718662	0.562676	0.281338
137	0.76176	0.47648	0.23824
138	0.748391	0.503219	0.251609
139	0.729874	0.540253	0.270126
140	0.704328	0.591345	0.295672
141	0.698547	0.602905	0.301453
142	0.727472	0.545057	0.272528
143	0.697457	0.605086	0.302543
144	0.712183	0.575633	0.287817
145	0.681131	0.637738	0.318869
146	0.6608	0.678399	0.3392
147	0.629107	0.741786	0.370893
148	0.59574	0.808519	0.40426
149	0.570233	0.859534	0.429767
150	0.547732	0.904536	0.452268
151	0.780621	0.438757	0.219379
152	0.765918	0.468164	0.234082
153	0.764893	0.470214	0.235107
154	0.739567	0.520865	0.260433
155	0.725549	0.548901	0.274451
156	0.697042	0.605917	0.302958
157	0.684645	0.63071	0.315355
158	0.659203	0.681595	0.340797
159	0.68912	0.621759	0.31088
160	0.692836	0.614328	0.307164
161	0.694566	0.610868	0.305434
162	0.669561	0.660879	0.330439
163	0.636839	0.726322	0.363161
164	0.943259	0.113483	0.0567415
165	0.932637	0.134726	0.0673628
166	0.92951	0.140979	0.0704897
167	0.919889	0.160221	0.0801107
168	0.921482	0.157037	0.0785183
169	0.911916	0.176168	0.088084
170	0.934398	0.131203	0.0656016
171	0.922559	0.154882	0.0774409
172	0.923242	0.153516	0.0767578
173	0.91958	0.160841	0.0804203
174	0.910301	0.179397	0.0896987
175	0.901287	0.197426	0.0987132
176	0.909663	0.180675	0.0903374
177	0.896518	0.206963	0.103482
178	0.897273	0.205454	0.102727
179	0.883891	0.232218	0.116109
180	0.910955	0.17809	0.089045
181	0.912718	0.174563	0.0872816
182	0.916421	0.167158	0.0835789
183	0.918597	0.162807	0.0814034
184	0.903782	0.192437	0.0962184
185	0.919617	0.160767	0.0803835
186	0.904068	0.191865	0.0959324
187	0.906078	0.187845	0.0939223
188	0.90916	0.181681	0.0908404
189	0.91307	0.17386	0.08693
190	0.897598	0.204805	0.102402
191	0.891916	0.216169	0.108084
192	0.878083	0.243834	0.121917
193	0.883066	0.233868	0.116934
194	0.891869	0.216263	0.108131
195	0.872684	0.254632	0.127316
196	0.853938	0.292124	0.146062
197	0.863569	0.272863	0.136431
198	0.842043	0.315914	0.157957
199	0.829415	0.341171	0.170585
200	0.80556	0.38888	0.19444
201	0.827069	0.345862	0.172931
202	0.801528	0.396944	0.198472
203	0.791284	0.417432	0.208716
204	0.77061	0.45878	0.22939
205	0.754315	0.491371	0.245685
206	0.790254	0.419492	0.209746
207	0.790258	0.419484	0.209742
208	0.765274	0.469452	0.234726
209	0.746828	0.506344	0.253172
210	0.762945	0.47411	0.237055
211	0.761932	0.476136	0.238068
212	0.728186	0.543628	0.271814
213	0.72781	0.54438	0.27219
214	0.699697	0.600606	0.300303
215	0.670327	0.659345	0.329673
216	0.631687	0.736626	0.368313
217	0.63138	0.737239	0.36862
218	0.601414	0.797171	0.398586
219	0.568356	0.863288	0.431644
220	0.541105	0.91779	0.458895
221	0.517071	0.965858	0.482929
222	0.617517	0.764965	0.382483
223	0.573131	0.853737	0.426869
224	0.6868	0.6264	0.3132
225	0.665027	0.669945	0.334973
226	0.721414	0.557171	0.278586
227	0.727422	0.545157	0.272578
228	0.754183	0.491634	0.245817
229	0.899552	0.200896	0.100448
230	0.923081	0.153838	0.0769191
231	0.921723	0.156555	0.0782774
232	0.925235	0.14953	0.0747652
233	0.913345	0.173311	0.0866554
234	0.89476	0.210481	0.10524
235	0.871425	0.257149	0.128575
236	0.9338	0.132401	0.0662004
237	0.92603	0.147939	0.0739696
238	0.905623	0.188755	0.0943774
239	0.886369	0.227263	0.113631
240	0.854592	0.290817	0.145408
241	0.82996	0.340081	0.17004
242	0.791796	0.416409	0.208204
243	0.772322	0.455357	0.227678
244	0.722193	0.555614	0.277807
245	0.676127	0.647746	0.323873
246	0.614936	0.770128	0.385064
247	0.563951	0.872097	0.436049
248	0.77738	0.445241	0.22262
249	0.720849	0.558301	0.279151
250	0.666409	0.667183	0.333591
251	0.637013	0.725975	0.362987
252	0.63416	0.731681	0.36584
253	0.596202	0.807596	0.403798
254	0.6959	0.608199	0.3041
255	0.74763	0.504739	0.25237
256	0.787433	0.425134	0.212567
257	0.743564	0.512872	0.256436
258	0.900849	0.198301	0.0991506
259	0.931655	0.136691	0.0683455
260	0.978341	0.0433176	0.0216588
261	0.963451	0.0730989	0.0365494
262	0.916656	0.166688	0.0833442
263	0.971871	0.0562573	0.0281287
264	0.889499	0.221002	0.110501

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
15 & 0.701515 & 0.59697 & 0.298485 \tabularnewline
16 & 0.548357 & 0.903286 & 0.451643 \tabularnewline
17 & 0.406344 & 0.812688 & 0.593656 \tabularnewline
18 & 0.288406 & 0.576811 & 0.711594 \tabularnewline
19 & 0.699511 & 0.600978 & 0.300489 \tabularnewline
20 & 0.62737 & 0.745261 & 0.37263 \tabularnewline
21 & 0.54659 & 0.906819 & 0.45341 \tabularnewline
22 & 0.530635 & 0.93873 & 0.469365 \tabularnewline
23 & 0.46668 & 0.93336 & 0.53332 \tabularnewline
24 & 0.380293 & 0.760586 & 0.619707 \tabularnewline
25 & 0.31916 & 0.63832 & 0.68084 \tabularnewline
26 & 0.262296 & 0.524592 & 0.737704 \tabularnewline
27 & 0.238935 & 0.47787 & 0.761065 \tabularnewline
28 & 0.262356 & 0.524713 & 0.737644 \tabularnewline
29 & 0.20569 & 0.411379 & 0.79431 \tabularnewline
30 & 0.175592 & 0.351184 & 0.824408 \tabularnewline
31 & 0.192903 & 0.385806 & 0.807097 \tabularnewline
32 & 0.164014 & 0.328029 & 0.835986 \tabularnewline
33 & 0.126973 & 0.253947 & 0.873027 \tabularnewline
34 & 0.138145 & 0.276291 & 0.861855 \tabularnewline
35 & 0.133542 & 0.267084 & 0.866458 \tabularnewline
36 & 0.103033 & 0.206067 & 0.896967 \tabularnewline
37 & 0.0772193 & 0.154439 & 0.922781 \tabularnewline
38 & 0.113338 & 0.226675 & 0.886662 \tabularnewline
39 & 0.115021 & 0.230042 & 0.884979 \tabularnewline
40 & 0.112401 & 0.224803 & 0.887599 \tabularnewline
41 & 0.165134 & 0.330269 & 0.834866 \tabularnewline
42 & 0.133925 & 0.267851 & 0.866075 \tabularnewline
43 & 0.135394 & 0.270788 & 0.864606 \tabularnewline
44 & 0.107306 & 0.214611 & 0.892694 \tabularnewline
45 & 0.102326 & 0.204652 & 0.897674 \tabularnewline
46 & 0.0939724 & 0.187945 & 0.906028 \tabularnewline
47 & 0.119059 & 0.238118 & 0.880941 \tabularnewline
48 & 0.182182 & 0.364364 & 0.817818 \tabularnewline
49 & 0.218038 & 0.436077 & 0.781962 \tabularnewline
50 & 0.201938 & 0.403876 & 0.798062 \tabularnewline
51 & 0.168194 & 0.336389 & 0.831806 \tabularnewline
52 & 0.175772 & 0.351544 & 0.824228 \tabularnewline
53 & 0.170325 & 0.34065 & 0.829675 \tabularnewline
54 & 0.159403 & 0.318805 & 0.840597 \tabularnewline
55 & 0.265626 & 0.531253 & 0.734374 \tabularnewline
56 & 0.229086 & 0.458173 & 0.770914 \tabularnewline
57 & 0.524473 & 0.951054 & 0.475527 \tabularnewline
58 & 0.615512 & 0.768975 & 0.384488 \tabularnewline
59 & 0.587977 & 0.824045 & 0.412023 \tabularnewline
60 & 0.580235 & 0.839531 & 0.419765 \tabularnewline
61 & 0.585342 & 0.829315 & 0.414658 \tabularnewline
62 & 0.550344 & 0.899312 & 0.449656 \tabularnewline
63 & 0.572442 & 0.855115 & 0.427558 \tabularnewline
64 & 0.634981 & 0.730039 & 0.365019 \tabularnewline
65 & 0.625129 & 0.749742 & 0.374871 \tabularnewline
66 & 0.60184 & 0.79632 & 0.39816 \tabularnewline
67 & 0.594723 & 0.810555 & 0.405277 \tabularnewline
68 & 0.56277 & 0.874459 & 0.43723 \tabularnewline
69 & 0.577587 & 0.844825 & 0.422413 \tabularnewline
70 & 0.541981 & 0.916039 & 0.458019 \tabularnewline
71 & 0.505937 & 0.988125 & 0.494063 \tabularnewline
72 & 0.476153 & 0.952305 & 0.523847 \tabularnewline
73 & 0.452147 & 0.904293 & 0.547853 \tabularnewline
74 & 0.466348 & 0.932696 & 0.533652 \tabularnewline
75 & 0.436666 & 0.873332 & 0.563334 \tabularnewline
76 & 0.406818 & 0.813635 & 0.593182 \tabularnewline
77 & 0.377502 & 0.755005 & 0.622498 \tabularnewline
78 & 0.369787 & 0.739573 & 0.630213 \tabularnewline
79 & 0.337959 & 0.675918 & 0.662041 \tabularnewline
80 & 0.33443 & 0.668859 & 0.66557 \tabularnewline
81 & 0.303563 & 0.607127 & 0.696437 \tabularnewline
82 & 0.325993 & 0.651986 & 0.674007 \tabularnewline
83 & 0.294693 & 0.589385 & 0.705307 \tabularnewline
84 & 0.451267 & 0.902534 & 0.548733 \tabularnewline
85 & 0.417701 & 0.835401 & 0.582299 \tabularnewline
86 & 0.384463 & 0.768926 & 0.615537 \tabularnewline
87 & 0.369271 & 0.738542 & 0.630729 \tabularnewline
88 & 0.34872 & 0.697441 & 0.65128 \tabularnewline
89 & 0.346544 & 0.693088 & 0.653456 \tabularnewline
90 & 0.329297 & 0.658595 & 0.670703 \tabularnewline
91 & 0.403517 & 0.807034 & 0.596483 \tabularnewline
92 & 0.542795 & 0.91441 & 0.457205 \tabularnewline
93 & 0.511337 & 0.977327 & 0.488663 \tabularnewline
94 & 0.497812 & 0.995624 & 0.502188 \tabularnewline
95 & 0.500664 & 0.998672 & 0.499336 \tabularnewline
96 & 0.471901 & 0.943801 & 0.528099 \tabularnewline
97 & 0.53394 & 0.932119 & 0.46606 \tabularnewline
98 & 0.513712 & 0.972575 & 0.486288 \tabularnewline
99 & 0.545212 & 0.909575 & 0.454788 \tabularnewline
100 & 0.57918 & 0.841641 & 0.42082 \tabularnewline
101 & 0.568085 & 0.863829 & 0.431915 \tabularnewline
102 & 0.531533 & 0.936935 & 0.468467 \tabularnewline
103 & 0.520776 & 0.958448 & 0.479224 \tabularnewline
104 & 0.49345 & 0.986899 & 0.50655 \tabularnewline
105 & 0.580248 & 0.839504 & 0.419752 \tabularnewline
106 & 0.559884 & 0.880233 & 0.440116 \tabularnewline
107 & 0.607283 & 0.785434 & 0.392717 \tabularnewline
108 & 0.720974 & 0.558052 & 0.279026 \tabularnewline
109 & 0.720981 & 0.558037 & 0.279019 \tabularnewline
110 & 0.700247 & 0.599506 & 0.299753 \tabularnewline
111 & 0.680759 & 0.638483 & 0.319241 \tabularnewline
112 & 0.649195 & 0.70161 & 0.350805 \tabularnewline
113 & 0.706585 & 0.586829 & 0.293415 \tabularnewline
114 & 0.735228 & 0.529545 & 0.264772 \tabularnewline
115 & 0.804274 & 0.391451 & 0.195726 \tabularnewline
116 & 0.810739 & 0.378523 & 0.189261 \tabularnewline
117 & 0.805413 & 0.389173 & 0.194587 \tabularnewline
118 & 0.785967 & 0.428066 & 0.214033 \tabularnewline
119 & 0.806044 & 0.387912 & 0.193956 \tabularnewline
120 & 0.796045 & 0.40791 & 0.203955 \tabularnewline
121 & 0.802698 & 0.394605 & 0.197302 \tabularnewline
122 & 0.796948 & 0.406104 & 0.203052 \tabularnewline
123 & 0.780365 & 0.439269 & 0.219635 \tabularnewline
124 & 0.856656 & 0.286687 & 0.143344 \tabularnewline
125 & 0.873256 & 0.253489 & 0.126744 \tabularnewline
126 & 0.854776 & 0.290447 & 0.145224 \tabularnewline
127 & 0.847806 & 0.304389 & 0.152194 \tabularnewline
128 & 0.846432 & 0.307136 & 0.153568 \tabularnewline
129 & 0.835193 & 0.329615 & 0.164807 \tabularnewline
130 & 0.818238 & 0.363524 & 0.181762 \tabularnewline
131 & 0.803087 & 0.393826 & 0.196913 \tabularnewline
132 & 0.804579 & 0.390843 & 0.195421 \tabularnewline
133 & 0.785303 & 0.429393 & 0.214697 \tabularnewline
134 & 0.765916 & 0.468168 & 0.234084 \tabularnewline
135 & 0.747076 & 0.505847 & 0.252924 \tabularnewline
136 & 0.718662 & 0.562676 & 0.281338 \tabularnewline
137 & 0.76176 & 0.47648 & 0.23824 \tabularnewline
138 & 0.748391 & 0.503219 & 0.251609 \tabularnewline
139 & 0.729874 & 0.540253 & 0.270126 \tabularnewline
140 & 0.704328 & 0.591345 & 0.295672 \tabularnewline
141 & 0.698547 & 0.602905 & 0.301453 \tabularnewline
142 & 0.727472 & 0.545057 & 0.272528 \tabularnewline
143 & 0.697457 & 0.605086 & 0.302543 \tabularnewline
144 & 0.712183 & 0.575633 & 0.287817 \tabularnewline
145 & 0.681131 & 0.637738 & 0.318869 \tabularnewline
146 & 0.6608 & 0.678399 & 0.3392 \tabularnewline
147 & 0.629107 & 0.741786 & 0.370893 \tabularnewline
148 & 0.59574 & 0.808519 & 0.40426 \tabularnewline
149 & 0.570233 & 0.859534 & 0.429767 \tabularnewline
150 & 0.547732 & 0.904536 & 0.452268 \tabularnewline
151 & 0.780621 & 0.438757 & 0.219379 \tabularnewline
152 & 0.765918 & 0.468164 & 0.234082 \tabularnewline
153 & 0.764893 & 0.470214 & 0.235107 \tabularnewline
154 & 0.739567 & 0.520865 & 0.260433 \tabularnewline
155 & 0.725549 & 0.548901 & 0.274451 \tabularnewline
156 & 0.697042 & 0.605917 & 0.302958 \tabularnewline
157 & 0.684645 & 0.63071 & 0.315355 \tabularnewline
158 & 0.659203 & 0.681595 & 0.340797 \tabularnewline
159 & 0.68912 & 0.621759 & 0.31088 \tabularnewline
160 & 0.692836 & 0.614328 & 0.307164 \tabularnewline
161 & 0.694566 & 0.610868 & 0.305434 \tabularnewline
162 & 0.669561 & 0.660879 & 0.330439 \tabularnewline
163 & 0.636839 & 0.726322 & 0.363161 \tabularnewline
164 & 0.943259 & 0.113483 & 0.0567415 \tabularnewline
165 & 0.932637 & 0.134726 & 0.0673628 \tabularnewline
166 & 0.92951 & 0.140979 & 0.0704897 \tabularnewline
167 & 0.919889 & 0.160221 & 0.0801107 \tabularnewline
168 & 0.921482 & 0.157037 & 0.0785183 \tabularnewline
169 & 0.911916 & 0.176168 & 0.088084 \tabularnewline
170 & 0.934398 & 0.131203 & 0.0656016 \tabularnewline
171 & 0.922559 & 0.154882 & 0.0774409 \tabularnewline
172 & 0.923242 & 0.153516 & 0.0767578 \tabularnewline
173 & 0.91958 & 0.160841 & 0.0804203 \tabularnewline
174 & 0.910301 & 0.179397 & 0.0896987 \tabularnewline
175 & 0.901287 & 0.197426 & 0.0987132 \tabularnewline
176 & 0.909663 & 0.180675 & 0.0903374 \tabularnewline
177 & 0.896518 & 0.206963 & 0.103482 \tabularnewline
178 & 0.897273 & 0.205454 & 0.102727 \tabularnewline
179 & 0.883891 & 0.232218 & 0.116109 \tabularnewline
180 & 0.910955 & 0.17809 & 0.089045 \tabularnewline
181 & 0.912718 & 0.174563 & 0.0872816 \tabularnewline
182 & 0.916421 & 0.167158 & 0.0835789 \tabularnewline
183 & 0.918597 & 0.162807 & 0.0814034 \tabularnewline
184 & 0.903782 & 0.192437 & 0.0962184 \tabularnewline
185 & 0.919617 & 0.160767 & 0.0803835 \tabularnewline
186 & 0.904068 & 0.191865 & 0.0959324 \tabularnewline
187 & 0.906078 & 0.187845 & 0.0939223 \tabularnewline
188 & 0.90916 & 0.181681 & 0.0908404 \tabularnewline
189 & 0.91307 & 0.17386 & 0.08693 \tabularnewline
190 & 0.897598 & 0.204805 & 0.102402 \tabularnewline
191 & 0.891916 & 0.216169 & 0.108084 \tabularnewline
192 & 0.878083 & 0.243834 & 0.121917 \tabularnewline
193 & 0.883066 & 0.233868 & 0.116934 \tabularnewline
194 & 0.891869 & 0.216263 & 0.108131 \tabularnewline
195 & 0.872684 & 0.254632 & 0.127316 \tabularnewline
196 & 0.853938 & 0.292124 & 0.146062 \tabularnewline
197 & 0.863569 & 0.272863 & 0.136431 \tabularnewline
198 & 0.842043 & 0.315914 & 0.157957 \tabularnewline
199 & 0.829415 & 0.341171 & 0.170585 \tabularnewline
200 & 0.80556 & 0.38888 & 0.19444 \tabularnewline
201 & 0.827069 & 0.345862 & 0.172931 \tabularnewline
202 & 0.801528 & 0.396944 & 0.198472 \tabularnewline
203 & 0.791284 & 0.417432 & 0.208716 \tabularnewline
204 & 0.77061 & 0.45878 & 0.22939 \tabularnewline
205 & 0.754315 & 0.491371 & 0.245685 \tabularnewline
206 & 0.790254 & 0.419492 & 0.209746 \tabularnewline
207 & 0.790258 & 0.419484 & 0.209742 \tabularnewline
208 & 0.765274 & 0.469452 & 0.234726 \tabularnewline
209 & 0.746828 & 0.506344 & 0.253172 \tabularnewline
210 & 0.762945 & 0.47411 & 0.237055 \tabularnewline
211 & 0.761932 & 0.476136 & 0.238068 \tabularnewline
212 & 0.728186 & 0.543628 & 0.271814 \tabularnewline
213 & 0.72781 & 0.54438 & 0.27219 \tabularnewline
214 & 0.699697 & 0.600606 & 0.300303 \tabularnewline
215 & 0.670327 & 0.659345 & 0.329673 \tabularnewline
216 & 0.631687 & 0.736626 & 0.368313 \tabularnewline
217 & 0.63138 & 0.737239 & 0.36862 \tabularnewline
218 & 0.601414 & 0.797171 & 0.398586 \tabularnewline
219 & 0.568356 & 0.863288 & 0.431644 \tabularnewline
220 & 0.541105 & 0.91779 & 0.458895 \tabularnewline
221 & 0.517071 & 0.965858 & 0.482929 \tabularnewline
222 & 0.617517 & 0.764965 & 0.382483 \tabularnewline
223 & 0.573131 & 0.853737 & 0.426869 \tabularnewline
224 & 0.6868 & 0.6264 & 0.3132 \tabularnewline
225 & 0.665027 & 0.669945 & 0.334973 \tabularnewline
226 & 0.721414 & 0.557171 & 0.278586 \tabularnewline
227 & 0.727422 & 0.545157 & 0.272578 \tabularnewline
228 & 0.754183 & 0.491634 & 0.245817 \tabularnewline
229 & 0.899552 & 0.200896 & 0.100448 \tabularnewline
230 & 0.923081 & 0.153838 & 0.0769191 \tabularnewline
231 & 0.921723 & 0.156555 & 0.0782774 \tabularnewline
232 & 0.925235 & 0.14953 & 0.0747652 \tabularnewline
233 & 0.913345 & 0.173311 & 0.0866554 \tabularnewline
234 & 0.89476 & 0.210481 & 0.10524 \tabularnewline
235 & 0.871425 & 0.257149 & 0.128575 \tabularnewline
236 & 0.9338 & 0.132401 & 0.0662004 \tabularnewline
237 & 0.92603 & 0.147939 & 0.0739696 \tabularnewline
238 & 0.905623 & 0.188755 & 0.0943774 \tabularnewline
239 & 0.886369 & 0.227263 & 0.113631 \tabularnewline
240 & 0.854592 & 0.290817 & 0.145408 \tabularnewline
241 & 0.82996 & 0.340081 & 0.17004 \tabularnewline
242 & 0.791796 & 0.416409 & 0.208204 \tabularnewline
243 & 0.772322 & 0.455357 & 0.227678 \tabularnewline
244 & 0.722193 & 0.555614 & 0.277807 \tabularnewline
245 & 0.676127 & 0.647746 & 0.323873 \tabularnewline
246 & 0.614936 & 0.770128 & 0.385064 \tabularnewline
247 & 0.563951 & 0.872097 & 0.436049 \tabularnewline
248 & 0.77738 & 0.445241 & 0.22262 \tabularnewline
249 & 0.720849 & 0.558301 & 0.279151 \tabularnewline
250 & 0.666409 & 0.667183 & 0.333591 \tabularnewline
251 & 0.637013 & 0.725975 & 0.362987 \tabularnewline
252 & 0.63416 & 0.731681 & 0.36584 \tabularnewline
253 & 0.596202 & 0.807596 & 0.403798 \tabularnewline
254 & 0.6959 & 0.608199 & 0.3041 \tabularnewline
255 & 0.74763 & 0.504739 & 0.25237 \tabularnewline
256 & 0.787433 & 0.425134 & 0.212567 \tabularnewline
257 & 0.743564 & 0.512872 & 0.256436 \tabularnewline
258 & 0.900849 & 0.198301 & 0.0991506 \tabularnewline
259 & 0.931655 & 0.136691 & 0.0683455 \tabularnewline
260 & 0.978341 & 0.0433176 & 0.0216588 \tabularnewline
261 & 0.963451 & 0.0730989 & 0.0365494 \tabularnewline
262 & 0.916656 & 0.166688 & 0.0833442 \tabularnewline
263 & 0.971871 & 0.0562573 & 0.0281287 \tabularnewline
264 & 0.889499 & 0.221002 & 0.110501 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=263271&T=5

[TABLE]
[ROW][C]Goldfeld-Quandt test for Heteroskedasticity[/C][/ROW]
[ROW][C]p-values[/C][C]Alternative Hypothesis[/C][/ROW]
[ROW][C]breakpoint index[/C][C]greater[/C][C]2-sided[/C][C]less[/C][/ROW]
[ROW][C]15[/C][C]0.701515[/C][C]0.59697[/C][C]0.298485[/C][/ROW]
[ROW][C]16[/C][C]0.548357[/C][C]0.903286[/C][C]0.451643[/C][/ROW]
[ROW][C]17[/C][C]0.406344[/C][C]0.812688[/C][C]0.593656[/C][/ROW]
[ROW][C]18[/C][C]0.288406[/C][C]0.576811[/C][C]0.711594[/C][/ROW]
[ROW][C]19[/C][C]0.699511[/C][C]0.600978[/C][C]0.300489[/C][/ROW]
[ROW][C]20[/C][C]0.62737[/C][C]0.745261[/C][C]0.37263[/C][/ROW]
[ROW][C]21[/C][C]0.54659[/C][C]0.906819[/C][C]0.45341[/C][/ROW]
[ROW][C]22[/C][C]0.530635[/C][C]0.93873[/C][C]0.469365[/C][/ROW]
[ROW][C]23[/C][C]0.46668[/C][C]0.93336[/C][C]0.53332[/C][/ROW]
[ROW][C]24[/C][C]0.380293[/C][C]0.760586[/C][C]0.619707[/C][/ROW]
[ROW][C]25[/C][C]0.31916[/C][C]0.63832[/C][C]0.68084[/C][/ROW]
[ROW][C]26[/C][C]0.262296[/C][C]0.524592[/C][C]0.737704[/C][/ROW]
[ROW][C]27[/C][C]0.238935[/C][C]0.47787[/C][C]0.761065[/C][/ROW]
[ROW][C]28[/C][C]0.262356[/C][C]0.524713[/C][C]0.737644[/C][/ROW]
[ROW][C]29[/C][C]0.20569[/C][C]0.411379[/C][C]0.79431[/C][/ROW]
[ROW][C]30[/C][C]0.175592[/C][C]0.351184[/C][C]0.824408[/C][/ROW]
[ROW][C]31[/C][C]0.192903[/C][C]0.385806[/C][C]0.807097[/C][/ROW]
[ROW][C]32[/C][C]0.164014[/C][C]0.328029[/C][C]0.835986[/C][/ROW]
[ROW][C]33[/C][C]0.126973[/C][C]0.253947[/C][C]0.873027[/C][/ROW]
[ROW][C]34[/C][C]0.138145[/C][C]0.276291[/C][C]0.861855[/C][/ROW]
[ROW][C]35[/C][C]0.133542[/C][C]0.267084[/C][C]0.866458[/C][/ROW]
[ROW][C]36[/C][C]0.103033[/C][C]0.206067[/C][C]0.896967[/C][/ROW]
[ROW][C]37[/C][C]0.0772193[/C][C]0.154439[/C][C]0.922781[/C][/ROW]
[ROW][C]38[/C][C]0.113338[/C][C]0.226675[/C][C]0.886662[/C][/ROW]
[ROW][C]39[/C][C]0.115021[/C][C]0.230042[/C][C]0.884979[/C][/ROW]
[ROW][C]40[/C][C]0.112401[/C][C]0.224803[/C][C]0.887599[/C][/ROW]
[ROW][C]41[/C][C]0.165134[/C][C]0.330269[/C][C]0.834866[/C][/ROW]
[ROW][C]42[/C][C]0.133925[/C][C]0.267851[/C][C]0.866075[/C][/ROW]
[ROW][C]43[/C][C]0.135394[/C][C]0.270788[/C][C]0.864606[/C][/ROW]
[ROW][C]44[/C][C]0.107306[/C][C]0.214611[/C][C]0.892694[/C][/ROW]
[ROW][C]45[/C][C]0.102326[/C][C]0.204652[/C][C]0.897674[/C][/ROW]
[ROW][C]46[/C][C]0.0939724[/C][C]0.187945[/C][C]0.906028[/C][/ROW]
[ROW][C]47[/C][C]0.119059[/C][C]0.238118[/C][C]0.880941[/C][/ROW]
[ROW][C]48[/C][C]0.182182[/C][C]0.364364[/C][C]0.817818[/C][/ROW]
[ROW][C]49[/C][C]0.218038[/C][C]0.436077[/C][C]0.781962[/C][/ROW]
[ROW][C]50[/C][C]0.201938[/C][C]0.403876[/C][C]0.798062[/C][/ROW]
[ROW][C]51[/C][C]0.168194[/C][C]0.336389[/C][C]0.831806[/C][/ROW]
[ROW][C]52[/C][C]0.175772[/C][C]0.351544[/C][C]0.824228[/C][/ROW]
[ROW][C]53[/C][C]0.170325[/C][C]0.34065[/C][C]0.829675[/C][/ROW]
[ROW][C]54[/C][C]0.159403[/C][C]0.318805[/C][C]0.840597[/C][/ROW]
[ROW][C]55[/C][C]0.265626[/C][C]0.531253[/C][C]0.734374[/C][/ROW]
[ROW][C]56[/C][C]0.229086[/C][C]0.458173[/C][C]0.770914[/C][/ROW]
[ROW][C]57[/C][C]0.524473[/C][C]0.951054[/C][C]0.475527[/C][/ROW]
[ROW][C]58[/C][C]0.615512[/C][C]0.768975[/C][C]0.384488[/C][/ROW]
[ROW][C]59[/C][C]0.587977[/C][C]0.824045[/C][C]0.412023[/C][/ROW]
[ROW][C]60[/C][C]0.580235[/C][C]0.839531[/C][C]0.419765[/C][/ROW]
[ROW][C]61[/C][C]0.585342[/C][C]0.829315[/C][C]0.414658[/C][/ROW]
[ROW][C]62[/C][C]0.550344[/C][C]0.899312[/C][C]0.449656[/C][/ROW]
[ROW][C]63[/C][C]0.572442[/C][C]0.855115[/C][C]0.427558[/C][/ROW]
[ROW][C]64[/C][C]0.634981[/C][C]0.730039[/C][C]0.365019[/C][/ROW]
[ROW][C]65[/C][C]0.625129[/C][C]0.749742[/C][C]0.374871[/C][/ROW]
[ROW][C]66[/C][C]0.60184[/C][C]0.79632[/C][C]0.39816[/C][/ROW]
[ROW][C]67[/C][C]0.594723[/C][C]0.810555[/C][C]0.405277[/C][/ROW]
[ROW][C]68[/C][C]0.56277[/C][C]0.874459[/C][C]0.43723[/C][/ROW]
[ROW][C]69[/C][C]0.577587[/C][C]0.844825[/C][C]0.422413[/C][/ROW]
[ROW][C]70[/C][C]0.541981[/C][C]0.916039[/C][C]0.458019[/C][/ROW]
[ROW][C]71[/C][C]0.505937[/C][C]0.988125[/C][C]0.494063[/C][/ROW]
[ROW][C]72[/C][C]0.476153[/C][C]0.952305[/C][C]0.523847[/C][/ROW]
[ROW][C]73[/C][C]0.452147[/C][C]0.904293[/C][C]0.547853[/C][/ROW]
[ROW][C]74[/C][C]0.466348[/C][C]0.932696[/C][C]0.533652[/C][/ROW]
[ROW][C]75[/C][C]0.436666[/C][C]0.873332[/C][C]0.563334[/C][/ROW]
[ROW][C]76[/C][C]0.406818[/C][C]0.813635[/C][C]0.593182[/C][/ROW]
[ROW][C]77[/C][C]0.377502[/C][C]0.755005[/C][C]0.622498[/C][/ROW]
[ROW][C]78[/C][C]0.369787[/C][C]0.739573[/C][C]0.630213[/C][/ROW]
[ROW][C]79[/C][C]0.337959[/C][C]0.675918[/C][C]0.662041[/C][/ROW]
[ROW][C]80[/C][C]0.33443[/C][C]0.668859[/C][C]0.66557[/C][/ROW]
[ROW][C]81[/C][C]0.303563[/C][C]0.607127[/C][C]0.696437[/C][/ROW]
[ROW][C]82[/C][C]0.325993[/C][C]0.651986[/C][C]0.674007[/C][/ROW]
[ROW][C]83[/C][C]0.294693[/C][C]0.589385[/C][C]0.705307[/C][/ROW]
[ROW][C]84[/C][C]0.451267[/C][C]0.902534[/C][C]0.548733[/C][/ROW]
[ROW][C]85[/C][C]0.417701[/C][C]0.835401[/C][C]0.582299[/C][/ROW]
[ROW][C]86[/C][C]0.384463[/C][C]0.768926[/C][C]0.615537[/C][/ROW]
[ROW][C]87[/C][C]0.369271[/C][C]0.738542[/C][C]0.630729[/C][/ROW]
[ROW][C]88[/C][C]0.34872[/C][C]0.697441[/C][C]0.65128[/C][/ROW]
[ROW][C]89[/C][C]0.346544[/C][C]0.693088[/C][C]0.653456[/C][/ROW]
[ROW][C]90[/C][C]0.329297[/C][C]0.658595[/C][C]0.670703[/C][/ROW]
[ROW][C]91[/C][C]0.403517[/C][C]0.807034[/C][C]0.596483[/C][/ROW]
[ROW][C]92[/C][C]0.542795[/C][C]0.91441[/C][C]0.457205[/C][/ROW]
[ROW][C]93[/C][C]0.511337[/C][C]0.977327[/C][C]0.488663[/C][/ROW]
[ROW][C]94[/C][C]0.497812[/C][C]0.995624[/C][C]0.502188[/C][/ROW]
[ROW][C]95[/C][C]0.500664[/C][C]0.998672[/C][C]0.499336[/C][/ROW]
[ROW][C]96[/C][C]0.471901[/C][C]0.943801[/C][C]0.528099[/C][/ROW]
[ROW][C]97[/C][C]0.53394[/C][C]0.932119[/C][C]0.46606[/C][/ROW]
[ROW][C]98[/C][C]0.513712[/C][C]0.972575[/C][C]0.486288[/C][/ROW]
[ROW][C]99[/C][C]0.545212[/C][C]0.909575[/C][C]0.454788[/C][/ROW]
[ROW][C]100[/C][C]0.57918[/C][C]0.841641[/C][C]0.42082[/C][/ROW]
[ROW][C]101[/C][C]0.568085[/C][C]0.863829[/C][C]0.431915[/C][/ROW]
[ROW][C]102[/C][C]0.531533[/C][C]0.936935[/C][C]0.468467[/C][/ROW]
[ROW][C]103[/C][C]0.520776[/C][C]0.958448[/C][C]0.479224[/C][/ROW]
[ROW][C]104[/C][C]0.49345[/C][C]0.986899[/C][C]0.50655[/C][/ROW]
[ROW][C]105[/C][C]0.580248[/C][C]0.839504[/C][C]0.419752[/C][/ROW]
[ROW][C]106[/C][C]0.559884[/C][C]0.880233[/C][C]0.440116[/C][/ROW]
[ROW][C]107[/C][C]0.607283[/C][C]0.785434[/C][C]0.392717[/C][/ROW]
[ROW][C]108[/C][C]0.720974[/C][C]0.558052[/C][C]0.279026[/C][/ROW]
[ROW][C]109[/C][C]0.720981[/C][C]0.558037[/C][C]0.279019[/C][/ROW]
[ROW][C]110[/C][C]0.700247[/C][C]0.599506[/C][C]0.299753[/C][/ROW]
[ROW][C]111[/C][C]0.680759[/C][C]0.638483[/C][C]0.319241[/C][/ROW]
[ROW][C]112[/C][C]0.649195[/C][C]0.70161[/C][C]0.350805[/C][/ROW]
[ROW][C]113[/C][C]0.706585[/C][C]0.586829[/C][C]0.293415[/C][/ROW]
[ROW][C]114[/C][C]0.735228[/C][C]0.529545[/C][C]0.264772[/C][/ROW]
[ROW][C]115[/C][C]0.804274[/C][C]0.391451[/C][C]0.195726[/C][/ROW]
[ROW][C]116[/C][C]0.810739[/C][C]0.378523[/C][C]0.189261[/C][/ROW]
[ROW][C]117[/C][C]0.805413[/C][C]0.389173[/C][C]0.194587[/C][/ROW]
[ROW][C]118[/C][C]0.785967[/C][C]0.428066[/C][C]0.214033[/C][/ROW]
[ROW][C]119[/C][C]0.806044[/C][C]0.387912[/C][C]0.193956[/C][/ROW]
[ROW][C]120[/C][C]0.796045[/C][C]0.40791[/C][C]0.203955[/C][/ROW]
[ROW][C]121[/C][C]0.802698[/C][C]0.394605[/C][C]0.197302[/C][/ROW]
[ROW][C]122[/C][C]0.796948[/C][C]0.406104[/C][C]0.203052[/C][/ROW]
[ROW][C]123[/C][C]0.780365[/C][C]0.439269[/C][C]0.219635[/C][/ROW]
[ROW][C]124[/C][C]0.856656[/C][C]0.286687[/C][C]0.143344[/C][/ROW]
[ROW][C]125[/C][C]0.873256[/C][C]0.253489[/C][C]0.126744[/C][/ROW]
[ROW][C]126[/C][C]0.854776[/C][C]0.290447[/C][C]0.145224[/C][/ROW]
[ROW][C]127[/C][C]0.847806[/C][C]0.304389[/C][C]0.152194[/C][/ROW]
[ROW][C]128[/C][C]0.846432[/C][C]0.307136[/C][C]0.153568[/C][/ROW]
[ROW][C]129[/C][C]0.835193[/C][C]0.329615[/C][C]0.164807[/C][/ROW]
[ROW][C]130[/C][C]0.818238[/C][C]0.363524[/C][C]0.181762[/C][/ROW]
[ROW][C]131[/C][C]0.803087[/C][C]0.393826[/C][C]0.196913[/C][/ROW]
[ROW][C]132[/C][C]0.804579[/C][C]0.390843[/C][C]0.195421[/C][/ROW]
[ROW][C]133[/C][C]0.785303[/C][C]0.429393[/C][C]0.214697[/C][/ROW]
[ROW][C]134[/C][C]0.765916[/C][C]0.468168[/C][C]0.234084[/C][/ROW]
[ROW][C]135[/C][C]0.747076[/C][C]0.505847[/C][C]0.252924[/C][/ROW]
[ROW][C]136[/C][C]0.718662[/C][C]0.562676[/C][C]0.281338[/C][/ROW]
[ROW][C]137[/C][C]0.76176[/C][C]0.47648[/C][C]0.23824[/C][/ROW]
[ROW][C]138[/C][C]0.748391[/C][C]0.503219[/C][C]0.251609[/C][/ROW]
[ROW][C]139[/C][C]0.729874[/C][C]0.540253[/C][C]0.270126[/C][/ROW]
[ROW][C]140[/C][C]0.704328[/C][C]0.591345[/C][C]0.295672[/C][/ROW]
[ROW][C]141[/C][C]0.698547[/C][C]0.602905[/C][C]0.301453[/C][/ROW]
[ROW][C]142[/C][C]0.727472[/C][C]0.545057[/C][C]0.272528[/C][/ROW]
[ROW][C]143[/C][C]0.697457[/C][C]0.605086[/C][C]0.302543[/C][/ROW]
[ROW][C]144[/C][C]0.712183[/C][C]0.575633[/C][C]0.287817[/C][/ROW]
[ROW][C]145[/C][C]0.681131[/C][C]0.637738[/C][C]0.318869[/C][/ROW]
[ROW][C]146[/C][C]0.6608[/C][C]0.678399[/C][C]0.3392[/C][/ROW]
[ROW][C]147[/C][C]0.629107[/C][C]0.741786[/C][C]0.370893[/C][/ROW]
[ROW][C]148[/C][C]0.59574[/C][C]0.808519[/C][C]0.40426[/C][/ROW]
[ROW][C]149[/C][C]0.570233[/C][C]0.859534[/C][C]0.429767[/C][/ROW]
[ROW][C]150[/C][C]0.547732[/C][C]0.904536[/C][C]0.452268[/C][/ROW]
[ROW][C]151[/C][C]0.780621[/C][C]0.438757[/C][C]0.219379[/C][/ROW]
[ROW][C]152[/C][C]0.765918[/C][C]0.468164[/C][C]0.234082[/C][/ROW]
[ROW][C]153[/C][C]0.764893[/C][C]0.470214[/C][C]0.235107[/C][/ROW]
[ROW][C]154[/C][C]0.739567[/C][C]0.520865[/C][C]0.260433[/C][/ROW]
[ROW][C]155[/C][C]0.725549[/C][C]0.548901[/C][C]0.274451[/C][/ROW]
[ROW][C]156[/C][C]0.697042[/C][C]0.605917[/C][C]0.302958[/C][/ROW]
[ROW][C]157[/C][C]0.684645[/C][C]0.63071[/C][C]0.315355[/C][/ROW]
[ROW][C]158[/C][C]0.659203[/C][C]0.681595[/C][C]0.340797[/C][/ROW]
[ROW][C]159[/C][C]0.68912[/C][C]0.621759[/C][C]0.31088[/C][/ROW]
[ROW][C]160[/C][C]0.692836[/C][C]0.614328[/C][C]0.307164[/C][/ROW]
[ROW][C]161[/C][C]0.694566[/C][C]0.610868[/C][C]0.305434[/C][/ROW]
[ROW][C]162[/C][C]0.669561[/C][C]0.660879[/C][C]0.330439[/C][/ROW]
[ROW][C]163[/C][C]0.636839[/C][C]0.726322[/C][C]0.363161[/C][/ROW]
[ROW][C]164[/C][C]0.943259[/C][C]0.113483[/C][C]0.0567415[/C][/ROW]
[ROW][C]165[/C][C]0.932637[/C][C]0.134726[/C][C]0.0673628[/C][/ROW]
[ROW][C]166[/C][C]0.92951[/C][C]0.140979[/C][C]0.0704897[/C][/ROW]
[ROW][C]167[/C][C]0.919889[/C][C]0.160221[/C][C]0.0801107[/C][/ROW]
[ROW][C]168[/C][C]0.921482[/C][C]0.157037[/C][C]0.0785183[/C][/ROW]
[ROW][C]169[/C][C]0.911916[/C][C]0.176168[/C][C]0.088084[/C][/ROW]
[ROW][C]170[/C][C]0.934398[/C][C]0.131203[/C][C]0.0656016[/C][/ROW]
[ROW][C]171[/C][C]0.922559[/C][C]0.154882[/C][C]0.0774409[/C][/ROW]
[ROW][C]172[/C][C]0.923242[/C][C]0.153516[/C][C]0.0767578[/C][/ROW]
[ROW][C]173[/C][C]0.91958[/C][C]0.160841[/C][C]0.0804203[/C][/ROW]
[ROW][C]174[/C][C]0.910301[/C][C]0.179397[/C][C]0.0896987[/C][/ROW]
[ROW][C]175[/C][C]0.901287[/C][C]0.197426[/C][C]0.0987132[/C][/ROW]
[ROW][C]176[/C][C]0.909663[/C][C]0.180675[/C][C]0.0903374[/C][/ROW]
[ROW][C]177[/C][C]0.896518[/C][C]0.206963[/C][C]0.103482[/C][/ROW]
[ROW][C]178[/C][C]0.897273[/C][C]0.205454[/C][C]0.102727[/C][/ROW]
[ROW][C]179[/C][C]0.883891[/C][C]0.232218[/C][C]0.116109[/C][/ROW]
[ROW][C]180[/C][C]0.910955[/C][C]0.17809[/C][C]0.089045[/C][/ROW]
[ROW][C]181[/C][C]0.912718[/C][C]0.174563[/C][C]0.0872816[/C][/ROW]
[ROW][C]182[/C][C]0.916421[/C][C]0.167158[/C][C]0.0835789[/C][/ROW]
[ROW][C]183[/C][C]0.918597[/C][C]0.162807[/C][C]0.0814034[/C][/ROW]
[ROW][C]184[/C][C]0.903782[/C][C]0.192437[/C][C]0.0962184[/C][/ROW]
[ROW][C]185[/C][C]0.919617[/C][C]0.160767[/C][C]0.0803835[/C][/ROW]
[ROW][C]186[/C][C]0.904068[/C][C]0.191865[/C][C]0.0959324[/C][/ROW]
[ROW][C]187[/C][C]0.906078[/C][C]0.187845[/C][C]0.0939223[/C][/ROW]
[ROW][C]188[/C][C]0.90916[/C][C]0.181681[/C][C]0.0908404[/C][/ROW]
[ROW][C]189[/C][C]0.91307[/C][C]0.17386[/C][C]0.08693[/C][/ROW]
[ROW][C]190[/C][C]0.897598[/C][C]0.204805[/C][C]0.102402[/C][/ROW]
[ROW][C]191[/C][C]0.891916[/C][C]0.216169[/C][C]0.108084[/C][/ROW]
[ROW][C]192[/C][C]0.878083[/C][C]0.243834[/C][C]0.121917[/C][/ROW]
[ROW][C]193[/C][C]0.883066[/C][C]0.233868[/C][C]0.116934[/C][/ROW]
[ROW][C]194[/C][C]0.891869[/C][C]0.216263[/C][C]0.108131[/C][/ROW]
[ROW][C]195[/C][C]0.872684[/C][C]0.254632[/C][C]0.127316[/C][/ROW]
[ROW][C]196[/C][C]0.853938[/C][C]0.292124[/C][C]0.146062[/C][/ROW]
[ROW][C]197[/C][C]0.863569[/C][C]0.272863[/C][C]0.136431[/C][/ROW]
[ROW][C]198[/C][C]0.842043[/C][C]0.315914[/C][C]0.157957[/C][/ROW]
[ROW][C]199[/C][C]0.829415[/C][C]0.341171[/C][C]0.170585[/C][/ROW]
[ROW][C]200[/C][C]0.80556[/C][C]0.38888[/C][C]0.19444[/C][/ROW]
[ROW][C]201[/C][C]0.827069[/C][C]0.345862[/C][C]0.172931[/C][/ROW]
[ROW][C]202[/C][C]0.801528[/C][C]0.396944[/C][C]0.198472[/C][/ROW]
[ROW][C]203[/C][C]0.791284[/C][C]0.417432[/C][C]0.208716[/C][/ROW]
[ROW][C]204[/C][C]0.77061[/C][C]0.45878[/C][C]0.22939[/C][/ROW]
[ROW][C]205[/C][C]0.754315[/C][C]0.491371[/C][C]0.245685[/C][/ROW]
[ROW][C]206[/C][C]0.790254[/C][C]0.419492[/C][C]0.209746[/C][/ROW]
[ROW][C]207[/C][C]0.790258[/C][C]0.419484[/C][C]0.209742[/C][/ROW]
[ROW][C]208[/C][C]0.765274[/C][C]0.469452[/C][C]0.234726[/C][/ROW]
[ROW][C]209[/C][C]0.746828[/C][C]0.506344[/C][C]0.253172[/C][/ROW]
[ROW][C]210[/C][C]0.762945[/C][C]0.47411[/C][C]0.237055[/C][/ROW]
[ROW][C]211[/C][C]0.761932[/C][C]0.476136[/C][C]0.238068[/C][/ROW]
[ROW][C]212[/C][C]0.728186[/C][C]0.543628[/C][C]0.271814[/C][/ROW]
[ROW][C]213[/C][C]0.72781[/C][C]0.54438[/C][C]0.27219[/C][/ROW]
[ROW][C]214[/C][C]0.699697[/C][C]0.600606[/C][C]0.300303[/C][/ROW]
[ROW][C]215[/C][C]0.670327[/C][C]0.659345[/C][C]0.329673[/C][/ROW]
[ROW][C]216[/C][C]0.631687[/C][C]0.736626[/C][C]0.368313[/C][/ROW]
[ROW][C]217[/C][C]0.63138[/C][C]0.737239[/C][C]0.36862[/C][/ROW]
[ROW][C]218[/C][C]0.601414[/C][C]0.797171[/C][C]0.398586[/C][/ROW]
[ROW][C]219[/C][C]0.568356[/C][C]0.863288[/C][C]0.431644[/C][/ROW]
[ROW][C]220[/C][C]0.541105[/C][C]0.91779[/C][C]0.458895[/C][/ROW]
[ROW][C]221[/C][C]0.517071[/C][C]0.965858[/C][C]0.482929[/C][/ROW]
[ROW][C]222[/C][C]0.617517[/C][C]0.764965[/C][C]0.382483[/C][/ROW]
[ROW][C]223[/C][C]0.573131[/C][C]0.853737[/C][C]0.426869[/C][/ROW]
[ROW][C]224[/C][C]0.6868[/C][C]0.6264[/C][C]0.3132[/C][/ROW]
[ROW][C]225[/C][C]0.665027[/C][C]0.669945[/C][C]0.334973[/C][/ROW]
[ROW][C]226[/C][C]0.721414[/C][C]0.557171[/C][C]0.278586[/C][/ROW]
[ROW][C]227[/C][C]0.727422[/C][C]0.545157[/C][C]0.272578[/C][/ROW]
[ROW][C]228[/C][C]0.754183[/C][C]0.491634[/C][C]0.245817[/C][/ROW]
[ROW][C]229[/C][C]0.899552[/C][C]0.200896[/C][C]0.100448[/C][/ROW]
[ROW][C]230[/C][C]0.923081[/C][C]0.153838[/C][C]0.0769191[/C][/ROW]
[ROW][C]231[/C][C]0.921723[/C][C]0.156555[/C][C]0.0782774[/C][/ROW]
[ROW][C]232[/C][C]0.925235[/C][C]0.14953[/C][C]0.0747652[/C][/ROW]
[ROW][C]233[/C][C]0.913345[/C][C]0.173311[/C][C]0.0866554[/C][/ROW]
[ROW][C]234[/C][C]0.89476[/C][C]0.210481[/C][C]0.10524[/C][/ROW]
[ROW][C]235[/C][C]0.871425[/C][C]0.257149[/C][C]0.128575[/C][/ROW]
[ROW][C]236[/C][C]0.9338[/C][C]0.132401[/C][C]0.0662004[/C][/ROW]
[ROW][C]237[/C][C]0.92603[/C][C]0.147939[/C][C]0.0739696[/C][/ROW]
[ROW][C]238[/C][C]0.905623[/C][C]0.188755[/C][C]0.0943774[/C][/ROW]
[ROW][C]239[/C][C]0.886369[/C][C]0.227263[/C][C]0.113631[/C][/ROW]
[ROW][C]240[/C][C]0.854592[/C][C]0.290817[/C][C]0.145408[/C][/ROW]
[ROW][C]241[/C][C]0.82996[/C][C]0.340081[/C][C]0.17004[/C][/ROW]
[ROW][C]242[/C][C]0.791796[/C][C]0.416409[/C][C]0.208204[/C][/ROW]
[ROW][C]243[/C][C]0.772322[/C][C]0.455357[/C][C]0.227678[/C][/ROW]
[ROW][C]244[/C][C]0.722193[/C][C]0.555614[/C][C]0.277807[/C][/ROW]
[ROW][C]245[/C][C]0.676127[/C][C]0.647746[/C][C]0.323873[/C][/ROW]
[ROW][C]246[/C][C]0.614936[/C][C]0.770128[/C][C]0.385064[/C][/ROW]
[ROW][C]247[/C][C]0.563951[/C][C]0.872097[/C][C]0.436049[/C][/ROW]
[ROW][C]248[/C][C]0.77738[/C][C]0.445241[/C][C]0.22262[/C][/ROW]
[ROW][C]249[/C][C]0.720849[/C][C]0.558301[/C][C]0.279151[/C][/ROW]
[ROW][C]250[/C][C]0.666409[/C][C]0.667183[/C][C]0.333591[/C][/ROW]
[ROW][C]251[/C][C]0.637013[/C][C]0.725975[/C][C]0.362987[/C][/ROW]
[ROW][C]252[/C][C]0.63416[/C][C]0.731681[/C][C]0.36584[/C][/ROW]
[ROW][C]253[/C][C]0.596202[/C][C]0.807596[/C][C]0.403798[/C][/ROW]
[ROW][C]254[/C][C]0.6959[/C][C]0.608199[/C][C]0.3041[/C][/ROW]
[ROW][C]255[/C][C]0.74763[/C][C]0.504739[/C][C]0.25237[/C][/ROW]
[ROW][C]256[/C][C]0.787433[/C][C]0.425134[/C][C]0.212567[/C][/ROW]
[ROW][C]257[/C][C]0.743564[/C][C]0.512872[/C][C]0.256436[/C][/ROW]
[ROW][C]258[/C][C]0.900849[/C][C]0.198301[/C][C]0.0991506[/C][/ROW]
[ROW][C]259[/C][C]0.931655[/C][C]0.136691[/C][C]0.0683455[/C][/ROW]
[ROW][C]260[/C][C]0.978341[/C][C]0.0433176[/C][C]0.0216588[/C][/ROW]
[ROW][C]261[/C][C]0.963451[/C][C]0.0730989[/C][C]0.0365494[/C][/ROW]
[ROW][C]262[/C][C]0.916656[/C][C]0.166688[/C][C]0.0833442[/C][/ROW]
[ROW][C]263[/C][C]0.971871[/C][C]0.0562573[/C][C]0.0281287[/C][/ROW]
[ROW][C]264[/C][C]0.889499[/C][C]0.221002[/C][C]0.110501[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=263271&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=263271&T=5

As an alternative you can also use a QR Code:

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

Goldfeld-Quandt test for Heteroskedasticity
p-values	Alternative Hypothesis
breakpoint index	greater	2-sided	less
15	0.701515	0.59697	0.298485
16	0.548357	0.903286	0.451643
17	0.406344	0.812688	0.593656
18	0.288406	0.576811	0.711594
19	0.699511	0.600978	0.300489
20	0.62737	0.745261	0.37263
21	0.54659	0.906819	0.45341
22	0.530635	0.93873	0.469365
23	0.46668	0.93336	0.53332
24	0.380293	0.760586	0.619707
25	0.31916	0.63832	0.68084
26	0.262296	0.524592	0.737704
27	0.238935	0.47787	0.761065
28	0.262356	0.524713	0.737644
29	0.20569	0.411379	0.79431
30	0.175592	0.351184	0.824408
31	0.192903	0.385806	0.807097
32	0.164014	0.328029	0.835986
33	0.126973	0.253947	0.873027
34	0.138145	0.276291	0.861855
35	0.133542	0.267084	0.866458
36	0.103033	0.206067	0.896967
37	0.0772193	0.154439	0.922781
38	0.113338	0.226675	0.886662
39	0.115021	0.230042	0.884979
40	0.112401	0.224803	0.887599
41	0.165134	0.330269	0.834866
42	0.133925	0.267851	0.866075
43	0.135394	0.270788	0.864606
44	0.107306	0.214611	0.892694
45	0.102326	0.204652	0.897674
46	0.0939724	0.187945	0.906028
47	0.119059	0.238118	0.880941
48	0.182182	0.364364	0.817818
49	0.218038	0.436077	0.781962
50	0.201938	0.403876	0.798062
51	0.168194	0.336389	0.831806
52	0.175772	0.351544	0.824228
53	0.170325	0.34065	0.829675
54	0.159403	0.318805	0.840597
55	0.265626	0.531253	0.734374
56	0.229086	0.458173	0.770914
57	0.524473	0.951054	0.475527
58	0.615512	0.768975	0.384488
59	0.587977	0.824045	0.412023
60	0.580235	0.839531	0.419765
61	0.585342	0.829315	0.414658
62	0.550344	0.899312	0.449656
63	0.572442	0.855115	0.427558
64	0.634981	0.730039	0.365019
65	0.625129	0.749742	0.374871
66	0.60184	0.79632	0.39816
67	0.594723	0.810555	0.405277
68	0.56277	0.874459	0.43723
69	0.577587	0.844825	0.422413
70	0.541981	0.916039	0.458019
71	0.505937	0.988125	0.494063
72	0.476153	0.952305	0.523847
73	0.452147	0.904293	0.547853
74	0.466348	0.932696	0.533652
75	0.436666	0.873332	0.563334
76	0.406818	0.813635	0.593182
77	0.377502	0.755005	0.622498
78	0.369787	0.739573	0.630213
79	0.337959	0.675918	0.662041
80	0.33443	0.668859	0.66557
81	0.303563	0.607127	0.696437
82	0.325993	0.651986	0.674007
83	0.294693	0.589385	0.705307
84	0.451267	0.902534	0.548733
85	0.417701	0.835401	0.582299
86	0.384463	0.768926	0.615537
87	0.369271	0.738542	0.630729
88	0.34872	0.697441	0.65128
89	0.346544	0.693088	0.653456
90	0.329297	0.658595	0.670703
91	0.403517	0.807034	0.596483
92	0.542795	0.91441	0.457205
93	0.511337	0.977327	0.488663
94	0.497812	0.995624	0.502188
95	0.500664	0.998672	0.499336
96	0.471901	0.943801	0.528099
97	0.53394	0.932119	0.46606
98	0.513712	0.972575	0.486288
99	0.545212	0.909575	0.454788
100	0.57918	0.841641	0.42082
101	0.568085	0.863829	0.431915
102	0.531533	0.936935	0.468467
103	0.520776	0.958448	0.479224
104	0.49345	0.986899	0.50655
105	0.580248	0.839504	0.419752
106	0.559884	0.880233	0.440116
107	0.607283	0.785434	0.392717
108	0.720974	0.558052	0.279026
109	0.720981	0.558037	0.279019
110	0.700247	0.599506	0.299753
111	0.680759	0.638483	0.319241
112	0.649195	0.70161	0.350805
113	0.706585	0.586829	0.293415
114	0.735228	0.529545	0.264772
115	0.804274	0.391451	0.195726
116	0.810739	0.378523	0.189261
117	0.805413	0.389173	0.194587
118	0.785967	0.428066	0.214033
119	0.806044	0.387912	0.193956
120	0.796045	0.40791	0.203955
121	0.802698	0.394605	0.197302
122	0.796948	0.406104	0.203052
123	0.780365	0.439269	0.219635
124	0.856656	0.286687	0.143344
125	0.873256	0.253489	0.126744
126	0.854776	0.290447	0.145224
127	0.847806	0.304389	0.152194
128	0.846432	0.307136	0.153568
129	0.835193	0.329615	0.164807
130	0.818238	0.363524	0.181762
131	0.803087	0.393826	0.196913
132	0.804579	0.390843	0.195421
133	0.785303	0.429393	0.214697
134	0.765916	0.468168	0.234084
135	0.747076	0.505847	0.252924
136	0.718662	0.562676	0.281338
137	0.76176	0.47648	0.23824
138	0.748391	0.503219	0.251609
139	0.729874	0.540253	0.270126
140	0.704328	0.591345	0.295672
141	0.698547	0.602905	0.301453
142	0.727472	0.545057	0.272528
143	0.697457	0.605086	0.302543
144	0.712183	0.575633	0.287817
145	0.681131	0.637738	0.318869
146	0.6608	0.678399	0.3392
147	0.629107	0.741786	0.370893
148	0.59574	0.808519	0.40426
149	0.570233	0.859534	0.429767
150	0.547732	0.904536	0.452268
151	0.780621	0.438757	0.219379
152	0.765918	0.468164	0.234082
153	0.764893	0.470214	0.235107
154	0.739567	0.520865	0.260433
155	0.725549	0.548901	0.274451
156	0.697042	0.605917	0.302958
157	0.684645	0.63071	0.315355
158	0.659203	0.681595	0.340797
159	0.68912	0.621759	0.31088
160	0.692836	0.614328	0.307164
161	0.694566	0.610868	0.305434
162	0.669561	0.660879	0.330439
163	0.636839	0.726322	0.363161
164	0.943259	0.113483	0.0567415
165	0.932637	0.134726	0.0673628
166	0.92951	0.140979	0.0704897
167	0.919889	0.160221	0.0801107
168	0.921482	0.157037	0.0785183
169	0.911916	0.176168	0.088084
170	0.934398	0.131203	0.0656016
171	0.922559	0.154882	0.0774409
172	0.923242	0.153516	0.0767578
173	0.91958	0.160841	0.0804203
174	0.910301	0.179397	0.0896987
175	0.901287	0.197426	0.0987132
176	0.909663	0.180675	0.0903374
177	0.896518	0.206963	0.103482
178	0.897273	0.205454	0.102727
179	0.883891	0.232218	0.116109
180	0.910955	0.17809	0.089045
181	0.912718	0.174563	0.0872816
182	0.916421	0.167158	0.0835789
183	0.918597	0.162807	0.0814034
184	0.903782	0.192437	0.0962184
185	0.919617	0.160767	0.0803835
186	0.904068	0.191865	0.0959324
187	0.906078	0.187845	0.0939223
188	0.90916	0.181681	0.0908404
189	0.91307	0.17386	0.08693
190	0.897598	0.204805	0.102402
191	0.891916	0.216169	0.108084
192	0.878083	0.243834	0.121917
193	0.883066	0.233868	0.116934
194	0.891869	0.216263	0.108131
195	0.872684	0.254632	0.127316
196	0.853938	0.292124	0.146062
197	0.863569	0.272863	0.136431
198	0.842043	0.315914	0.157957
199	0.829415	0.341171	0.170585
200	0.80556	0.38888	0.19444
201	0.827069	0.345862	0.172931
202	0.801528	0.396944	0.198472
203	0.791284	0.417432	0.208716
204	0.77061	0.45878	0.22939
205	0.754315	0.491371	0.245685
206	0.790254	0.419492	0.209746
207	0.790258	0.419484	0.209742
208	0.765274	0.469452	0.234726
209	0.746828	0.506344	0.253172
210	0.762945	0.47411	0.237055
211	0.761932	0.476136	0.238068
212	0.728186	0.543628	0.271814
213	0.72781	0.54438	0.27219
214	0.699697	0.600606	0.300303
215	0.670327	0.659345	0.329673
216	0.631687	0.736626	0.368313
217	0.63138	0.737239	0.36862
218	0.601414	0.797171	0.398586
219	0.568356	0.863288	0.431644
220	0.541105	0.91779	0.458895
221	0.517071	0.965858	0.482929
222	0.617517	0.764965	0.382483
223	0.573131	0.853737	0.426869
224	0.6868	0.6264	0.3132
225	0.665027	0.669945	0.334973
226	0.721414	0.557171	0.278586
227	0.727422	0.545157	0.272578
228	0.754183	0.491634	0.245817
229	0.899552	0.200896	0.100448
230	0.923081	0.153838	0.0769191
231	0.921723	0.156555	0.0782774
232	0.925235	0.14953	0.0747652
233	0.913345	0.173311	0.0866554
234	0.89476	0.210481	0.10524
235	0.871425	0.257149	0.128575
236	0.9338	0.132401	0.0662004
237	0.92603	0.147939	0.0739696
238	0.905623	0.188755	0.0943774
239	0.886369	0.227263	0.113631
240	0.854592	0.290817	0.145408
241	0.82996	0.340081	0.17004
242	0.791796	0.416409	0.208204
243	0.772322	0.455357	0.227678
244	0.722193	0.555614	0.277807
245	0.676127	0.647746	0.323873
246	0.614936	0.770128	0.385064
247	0.563951	0.872097	0.436049
248	0.77738	0.445241	0.22262
249	0.720849	0.558301	0.279151
250	0.666409	0.667183	0.333591
251	0.637013	0.725975	0.362987
252	0.63416	0.731681	0.36584
253	0.596202	0.807596	0.403798
254	0.6959	0.608199	0.3041
255	0.74763	0.504739	0.25237
256	0.787433	0.425134	0.212567
257	0.743564	0.512872	0.256436
258	0.900849	0.198301	0.0991506
259	0.931655	0.136691	0.0683455
260	0.978341	0.0433176	0.0216588
261	0.963451	0.0730989	0.0365494
262	0.916656	0.166688	0.0833442
263	0.971871	0.0562573	0.0281287
264	0.889499	0.221002	0.110501

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description	# significant tests	% significant tests	OK/NOK
1% type I error level	0	0	OK
5% type I error level	1	0.004	OK
10% type I error level	3	0.012	OK

\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 & 0.004 & OK \tabularnewline
10% type I error level & 3 & 0.012 & OK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=263271&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]0.004[/C][C]OK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]3[/C][C]0.012[/C][C]OK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=263271&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=263271&T=6

As an alternative you can also use a QR Code:

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

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description	# significant tests	% significant tests	OK/NOK
1% type I error level	0	0	OK
5% type I error level	1	0.004	OK
10% type I error level	3	0.012	OK

Figure 1

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Figure 3

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Figure 4

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Figure 5

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Figure 6

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Figure 7

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Figure 8

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Figure 9

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Figure 10

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Parameters (Session):

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

Parameters (R input):

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

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

library(lattice)
library(lmtest)
n25 <- 25 #minimum number of obs. for Goldfeld-Quandt test
par1 <- as.numeric(par1)
x <- t(y)
k <- length(x[1,])
n <- length(x[,1])
x1 <- cbind(x[,par1], x[,1:k!=par1])
mycolnames <- c(colnames(x)[par1], colnames(x)[1:k!=par1])
colnames(x1) <- mycolnames #colnames(x)[par1]
x <- x1
if (par3 == 'First Differences'){
x2 <- array(0, dim=c(n-1,k), dimnames=list(1:(n-1), paste('(1-B)',colnames(x),sep='')))
for (i in 1:n-1) {
for (j in 1:k) {
x2[i,j] <- x[i+1,j] - x[i,j]
}
}
x <- x2
}
if (par2 == 'Include Monthly Dummies'){
x2 <- array(0, dim=c(n,11), dimnames=list(1:n, paste('M', seq(1:11), sep ='')))
for (i in 1:11){
x2[seq(i,n,12),i] <- 1
}
x <- cbind(x, x2)
}
if (par2 == 'Include Quarterly Dummies'){
x2 <- array(0, dim=c(n,3), dimnames=list(1:n, paste('Q', seq(1:3), sep ='')))
for (i in 1:3){
x2[seq(i,n,4),i] <- 1
}
x <- cbind(x, x2)
}
k <- length(x[1,])
if (par3 == 'Linear Trend'){
x <- cbind(x, c(1:n))
colnames(x)[k+1] <- 't'
}
x
k <- length(x[1,])
df <- as.data.frame(x)
(mylm <- lm(df))
(mysum <- summary(mylm))
if (n > n25) {
kp3 <- k + 3
nmkm3 <- n - k - 3
gqarr <- array(NA, dim=c(nmkm3-kp3+1,3))
numgqtests <- 0
numsignificant1 <- 0
numsignificant5 <- 0
numsignificant10 <- 0
for (mypoint in kp3:nmkm3) {
j <- 0
numgqtests <- numgqtests + 1
for (myalt in c('greater', 'two.sided', 'less')) {
j <- j + 1
gqarr[mypoint-kp3+1,j] <- gqtest(mylm, point=mypoint, alternative=myalt)$p.value
}
if (gqarr[mypoint-kp3+1,2] < 0.01) numsignificant1 <- numsignificant1 + 1
if (gqarr[mypoint-kp3+1,2] < 0.05) numsignificant5 <- numsignificant5 + 1
if (gqarr[mypoint-kp3+1,2] < 0.10) numsignificant10 <- numsignificant10 + 1
}
gqarr
}
bitmap(file='test0.png')
plot(x[,1], type='l', main='Actuals and Interpolation', ylab='value of Actuals and Interpolation (dots)', xlab='time or index')
points(x[,1]-mysum$resid)
grid()
dev.off()
bitmap(file='test1.png')
plot(mysum$resid, type='b', pch=19, main='Residuals', ylab='value of Residuals', xlab='time or index')
grid()
dev.off()
bitmap(file='test2.png')
hist(mysum$resid, main='Residual Histogram', xlab='values of Residuals')
grid()
dev.off()
bitmap(file='test3.png')
densityplot(~mysum$resid,col='black',main='Residual Density Plot', xlab='values of Residuals')
dev.off()
bitmap(file='test4.png')
qqnorm(mysum$resid, main='Residual Normal Q-Q Plot')
qqline(mysum$resid)
grid()
dev.off()
(myerror <- as.ts(mysum$resid))
bitmap(file='test5.png')
dum <- cbind(lag(myerror,k=1),myerror)
dum
dum1 <- dum[2:length(myerror),]
dum1
z <- as.data.frame(dum1)
z
plot(z,main=paste('Residual Lag plot, lowess, and regression line'), ylab='values of Residuals', xlab='lagged values of Residuals')
lines(lowess(z))
abline(lm(z))
grid()
dev.off()
bitmap(file='test6.png')
acf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Autocorrelation Function')
grid()
dev.off()
bitmap(file='test7.png')
pacf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Partial Autocorrelation Function')
grid()
dev.off()
bitmap(file='test8.png')
opar <- par(mfrow = c(2,2), oma = c(0, 0, 1.1, 0))
plot(mylm, las = 1, sub='Residual Diagnostics')
par(opar)
dev.off()
if (n > n25) {
bitmap(file='test9.png')
plot(kp3:nmkm3,gqarr[,2], main='Goldfeld-Quandt test',ylab='2-sided p-value',xlab='breakpoint')
grid()
dev.off()
}
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Estimated Regression Equation', 1, TRUE)
a<-table.row.end(a)
myeq <- colnames(x)[1]
myeq <- paste(myeq, '[t] = ', sep='')
for (i in 1:k){
if (mysum$coefficients[i,1] > 0) myeq <- paste(myeq, '+', '')
myeq <- paste(myeq, signif(mysum$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')
}

Free Statistics

Description of Statistical Computation

Tree of Dependent Computations

Dataset

Tables (Output of Computation)

Figures (Output of Computation)

Input Parameters & R Code