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Author's title

Author

*The author of this computation has been verified*

R Software Module

rwasp_multipleregression.wasp

Title produced by software

Multiple Regression

Date of computation

Mon, 15 Dec 2014 18:51:06 +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/15/t1418669510p6cl5bkmi8thmcq.htm/, Retrieved Thu, 16 May 2024 12:40:11 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=268888, Retrieved Thu, 16 May 2024 12:40:11 +0000

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Original text written by user:

IsPrivate?

No (this computation is public)

User-defined keywords

Estimated Impact

103

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

-       [Multiple Regression] [Regressie_1] [2014-12-15 18:51:06] [e89b1602ca7c278e2fffead05eac818b] [Current]
-    D    [Multiple Regression] [Regressie_2] [2014-12-18 19:19:37] [189b7d469e4e3b4e868a6af83e3b3816] 
- RMPD    [One Sample Tests about the Mean] [] [2015-09-03 00:01:19] [5b73c907efdd91cd8d467e65f28ae5f1] 
- RMPD    [One Sample Tests about the Mean] [] [2015-09-03 00:01:19] [5b73c907efdd91cd8d467e65f28ae5f1] 

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12,9	2011	0	0	26	50	13	12	21	149	68
12,2	2011	0	1	57	62	8	8	22	139	39
12,8	2011	0	0	37	54	14	11	22	148	32
7,4	2011	0	1	67	71	16	13	18	158	62
6,7	2011	0	1	43	54	14	11	23	128	33
12,6	2011	0	1	52	65	13	10	12	224	52
14,8	2011	0	0	52	73	15	7	20	159	62
13,3	2011	0	1	43	52	13	10	22	105	77
11,1	2011	0	1	84	84	20	15	21	159	76
8,2	2011	0	1	67	42	17	12	19	167	41
11,4	2011	0	1	49	66	15	12	22	165	48
6,4	2011	0	1	70	65	16	10	15	159	63
10,6	2011	0	1	52	78	12	10	20	119	30
12,0	2011	0	0	58	73	17	14	19	176	78
6,3	2011	0	0	68	75	11	6	18	54	19
11,3	2011	1	0	62	72	16	12	15	91	31
11,9	2011	0	1	43	66	16	14	20	163	66
9,3	2011	0	0	56	70	15	11	21	124	35
9,6	2011	1	1	56	61	13	8	21	137	42
10,0	2011	0	0	74	81	14	12	15	121	45
6,4	2011	0	1	65	71	19	15	16	153	21
13,8	2011	0	1	63	69	16	13	23	148	25
10,8	2011	0	0	58	71	17	11	21	221	44
13,8	2011	0	1	57	72	10	12	18	188	69
11,7	2011	0	1	63	68	15	7	25	149	54
10,9	2011	0	1	53	70	14	11	9	244	74
16,1	2011	1	1	57	68	14	7	30	148	80
13,4	2011	1	0	51	61	16	12	20	92	42
9,9	2011	0	1	64	67	15	12	23	150	61
11,5	2011	0	0	53	76	17	13	16	153	41
8,3	2011	0	0	29	70	14	9	16	94	46
11,7	2011	0	0	54	60	16	11	19	156	39
9,0	2011	0	1	58	72	15	12	25	132	34
9,7	2011	0	1	43	69	16	15	18	161	51
10,8	2011	0	1	51	71	16	12	23	105	42
10,3	2011	0	1	53	62	10	6	21	97	31
10,4	2011	0	0	54	70	8	5	10	151	39
12,7	2011	1	1	56	64	17	13	14	131	20
9,3	2011	0	1	61	58	14	11	22	166	49
11,8	2011	0	0	47	76	10	6	26	157	53
5,9	2011	0	1	39	52	14	12	23	111	31
11,4	2011	0	1	48	59	12	10	23	145	39
13,0	2011	0	1	50	68	16	6	24	162	54
10,8	2011	0	1	35	76	16	12	24	163	49
12,3	2011	1	1	30	65	16	11	18	59	34
11,3	2011	0	0	68	67	8	6	23	187	46
11,8	2011	0	1	49	59	16	12	15	109	55
7,9	2011	1	1	61	69	15	12	19	90	42
12,7	2011	0	0	67	76	8	8	16	105	50
12,3	2011	1	1	47	63	13	10	25	83	13
11,6	2011	1	1	56	75	14	11	23	116	37
6,7	2011	1	1	50	63	13	7	17	42	25
10,9	2011	0	1	43	60	16	12	19	148	30
12,1	2011	1	1	67	73	19	13	21	155	28
13,3	2011	0	1	62	63	19	14	18	125	45
10,1	2011	0	1	57	70	14	12	27	116	35
5,7	2011	1	0	41	75	15	6	21	128	28
14,3	2011	0	1	54	66	13	14	13	138	41
8,0	2011	1	0	45	63	10	10	8	49	6
13,3	2011	1	1	48	63	16	12	29	96	45
9,3	2011	0	1	61	64	15	11	28	164	73
12,5	2011	0	0	56	70	11	10	23	162	17
7,6	2011	0	0	41	75	9	7	21	99	40
15,9	2011	0	1	43	61	16	12	19	202	64
9,2	2011	0	0	53	60	12	7	19	186	37
9,1	2011	1	1	44	62	12	12	20	66	25
11,1	2011	0	0	66	73	14	12	18	183	65
13,0	2011	0	1	58	61	14	10	19	214	100
14,5	2011	0	1	46	66	13	10	17	188	28
12,2	2011	1	0	37	64	15	12	19	104	35
12,3	2011	0	0	51	59	17	12	25	177	56
11,4	2011	0	0	51	64	14	12	19	126	29
8,8	2011	1	0	56	60	11	8	22	76	43
14,6	2011	1	1	66	56	9	10	23	99	59
12,6	2011	0	0	37	78	7	5	14	139	50
NA	2011	0	1	59	53	13	10	28	78	3
13,0	2011	0	0	42	67	15	10	16	162	59
12,6	2011	1	1	38	59	12	12	24	108	27
13,2	2011	0	0	66	66	15	11	20	159	61
9,9	2011	1	0	34	68	14	9	12	74	28
7,7	2011	0	1	53	71	16	12	24	110	51
10,5	2011	1	0	49	66	14	11	22	96	35
13,4	2011	1	0	55	73	13	10	12	116	29
10,9	2011	1	0	49	72	16	12	22	87	48
4,3	2011	1	1	59	71	13	10	20	97	25
10,3	2011	1	0	40	59	16	9	10	127	44
11,8	2011	1	1	58	64	16	11	23	106	64
11,2	2011	1	1	60	66	16	12	17	80	32
11,4	2011	1	0	63	78	10	7	22	74	20
8,6	2011	1	0	56	68	12	11	24	91	28
13,2	2011	1	0	54	73	12	12	18	133	34
12,6	2011	1	1	52	62	12	6	21	74	31
5,6	2011	1	1	34	65	12	9	20	114	26
9,9	2011	1	1	69	68	19	15	20	140	58
8,8	2011	1	0	32	65	14	10	22	95	23
7,7	2011	1	1	48	60	13	11	19	98	21
9,0	2011	1	0	67	71	16	12	20	121	21
7,3	2011	1	1	58	65	15	12	26	126	33
11,4	2011	1	1	57	68	12	12	23	98	16
13,6	2011	1	1	42	64	8	11	24	95	20
7,9	2011	1	1	64	74	10	9	21	110	37
10,7	2011	1	1	58	69	16	11	21	70	35
10,3	2011	1	0	66	76	16	12	19	102	33
8,3	2011	1	1	26	68	10	12	8	86	27
9,6	2011	1	1	61	72	18	14	17	130	41
14,2	2011	1	1	52	67	12	8	20	96	40
8,5	2011	1	0	51	63	16	10	11	102	35
13,5	2011	1	0	55	59	10	9	8	100	28
4,9	2011	1	0	50	73	14	10	15	94	32
6,4	2011	1	0	60	66	12	9	18	52	22
9,6	2011	1	0	56	62	11	10	18	98	44
11,6	2011	1	0	63	69	15	12	19	118	27
11,1	2011	1	1	61	66	7	11	19	99	17
4,35	2012	0	1	52	51	16	9	23	48	12
12,7	2012	0	1	16	56	16	11	22	50	45
18,1	2012	0	1	46	67	16	12	21	150	37
17,85	2012	0	1	56	69	16	12	25	154	37
16,6	2012	1	0	52	57	12	7	30	109	108
12,6	2012	1	1	55	56	15	12	17	68	10
17,1	2012	0	1	50	55	14	12	27	194	68
19,1	2012	0	0	59	63	15	12	23	158	72
16,1	2012	0	1	60	67	16	10	23	159	143
13,35	2012	0	0	52	65	13	15	18	67	9
18,4	2012	0	0	44	47	10	10	18	147	55
14,7	2012	0	1	67	76	17	15	23	39	17
10,6	2012	0	1	52	64	15	10	19	100	37
12,6	2012	0	1	55	68	18	15	15	111	27
16,2	2012	0	1	37	64	16	9	20	138	37
13,6	2012	0	1	54	65	20	15	16	101	58
18,9	2012	1	1	72	71	16	12	24	131	66
14,1	2012	0	1	51	63	17	13	25	101	21
14,5	2012	0	1	48	60	16	12	25	114	19
16,15	2012	0	0	60	68	15	12	19	165	78
14,75	2012	0	1	50	72	13	8	19	114	35
14,8	2012	0	1	63	70	16	9	16	111	48
12,45	2012	0	1	33	61	16	15	19	75	27
12,65	2012	0	1	67	61	16	12	19	82	43
17,35	2012	0	1	46	62	17	12	23	121	30
8,6	2012	0	1	54	71	20	15	21	32	25
18,4	2012	0	0	59	71	14	11	22	150	69
16,1	2012	0	1	61	51	17	12	19	117	72
11,6	2012	1	1	33	56	6	6	20	71	23
17,75	2012	0	1	47	70	16	14	20	165	13
15,25	2012	0	1	69	73	15	12	3	154	61
17,65	2012	0	1	52	76	16	12	23	126	43
16,35	2012	0	0	55	68	16	12	23	149	51
17,65	2012	0	0	41	48	14	11	20	145	67
13,6	2012	0	1	73	52	16	12	15	120	36
14,35	2012	0	0	52	60	16	12	16	109	44
14,75	2012	0	0	50	59	16	12	7	132	45
18,25	2012	0	1	51	57	14	12	24	172	34
9,9	2012	0	0	60	79	14	8	17	169	36
16	2012	0	1	56	60	16	8	24	114	72
18,25	2012	0	1	56	60	16	12	24	156	39
16,85	2012	0	0	29	59	15	12	19	172	43
14,6	2012	1	1	66	62	16	11	25	68	25
13,85	2012	1	1	66	59	16	10	20	89	56
18,95	2012	0	1	73	61	18	11	28	167	80
15,6	2012	0	0	55	71	15	12	23	113	40
14,85	2012	1	0	64	57	16	13	27	115	73
11,75	2012	1	0	40	66	16	12	18	78	34
18,45	2012	1	0	46	63	16	12	28	118	72
15,9	2012	1	1	58	69	17	10	21	87	42
17,1	2012	0	0	43	58	14	10	19	173	61
16,1	2012	0	1	61	59	18	11	23	2	23
19,9	2012	1	0	51	48	9	8	27	162	74
10,95	2012	1	1	50	66	15	12	22	49	16
18,45	2012	1	0	52	73	14	9	28	122	66
15,1	2012	1	1	54	67	15	12	25	96	9
15	2012	1	0	66	61	13	9	21	100	41
11,35	2012	1	0	61	68	16	11	22	82	57
15,95	2012	1	1	80	75	20	15	28	100	48
18,1	2012	1	0	51	62	14	8	20	115	51
14,6	2012	1	1	56	69	12	8	29	141	53
15,4	2012	0	1	56	58	15	11	25	165	29
15,4	2012	0	1	56	60	15	11	25	165	29
17,6	2012	1	1	53	74	15	11	20	110	55
13,35	2012	0	1	47	55	16	13	20	118	54
19,1	2012	0	0	25	62	11	7	16	158	43
15,35	2012	1	1	47	63	16	12	20	146	51
7,6	2012	0	0	46	69	7	8	20	49	20
13,4	2012	1	0	50	58	11	8	23	90	79
13,9	2012	1	0	39	58	9	4	18	121	39
19,1	2012	0	1	51	68	15	11	25	155	61
15,25	2012	1	0	58	72	16	10	18	104	55
12,9	2012	1	1	35	62	14	7	19	147	30
16,1	2012	1	0	58	62	15	12	25	110	55
17,35	2012	1	0	60	65	13	11	25	108	22
13,15	2012	1	0	62	69	13	9	25	113	37
12,15	2012	1	0	63	66	12	10	24	115	2
12,6	2012	1	1	53	72	16	8	19	61	38
10,35	2012	1	1	46	62	14	8	26	60	27
15,4	2012	1	1	67	75	16	11	10	109	56
9,6	2012	1	1	59	58	14	12	17	68	25
18,2	2012	1	0	64	66	15	10	13	111	39
13,6	2012	1	0	38	55	10	10	17	77	33
14,85	2012	1	1	50	47	16	12	30	73	43
14,75	2012	0	0	48	72	14	8	25	151	57
14,1	2012	1	0	48	62	16	11	4	89	43
14,9	2012	1	0	47	64	12	8	16	78	23
16,25	2012	1	0	66	64	16	10	21	110	44
19,25	2012	0	1	47	19	16	14	23	220	54
13,6	2012	1	1	63	50	15	9	22	65	28
13,6	2012	0	0	58	68	14	9	17	141	36
15,65	2012	1	0	44	70	16	10	20	117	39
12,75	2012	0	1	51	79	11	13	20	122	16
14,6	2012	1	0	43	69	15	12	22	63	23
9,85	2012	0	1	55	71	18	13	16	44	40
12,65	2012	1	1	38	48	13	8	23	52	24
19,2	2012	1	0	45	73	7	3	0	131	78
16,6	2012	1	1	50	74	7	8	18	101	57
11,2	2012	1	1	54	66	17	12	25	42	37
15,25	2012	0	1	57	71	18	11	23	152	27
11,9	2012	0	0	60	74	15	9	12	107	61
13,2	2012	1	0	55	78	8	12	18	77	27
16,35	2012	0	0	56	75	13	12	24	154	69
12,4	2012	0	1	49	53	13	12	11	103	34
15,85	2012	1	1	37	60	15	10	18	96	44
18,15	2012	0	1	59	70	18	13	23	175	34
11,15	2012	1	1	46	69	16	9	24	57	39
15,65	2012	1	0	51	65	14	12	29	112	51
17,75	2012	0	0	58	78	15	11	18	143	34
7,65	2012	1	0	64	78	19	14	15	49	31
12,35	2012	0	1	53	59	16	11	29	110	13
15,6	2012	0	1	48	72	12	9	16	131	12
19,3	2012	0	0	51	70	16	12	19	167	51
15,2	2012	1	0	47	63	11	8	22	56	24
17,1	2012	0	0	59	63	16	15	16	137	19
15,6	2012	1	1	62	71	15	12	23	86	30
18,4	2012	0	1	62	74	19	14	23	121	81
19,05	2012	0	0	51	67	15	12	19	149	42
18,55	2012	0	0	64	66	14	9	4	168	22
19,1	2012	0	0	52	62	14	9	20	140	85
13,1	2012	1	1	67	80	17	13	24	88	27
12,85	2012	0	1	50	73	16	13	20	168	25
9,5	2012	0	1	54	67	20	15	4	94	22
4,5	2012	0	1	58	61	16	11	24	51	19
11,85	2012	1	0	56	73	9	7	22	48	14
13,6	2012	0	1	63	74	13	10	16	145	45
11,7	2012	0	1	31	32	15	11	3	66	45
12,4	2012	1	1	65	69	19	14	15	85	28
13,35	2012	0	0	71	69	16	14	24	109	51
11,4	2012	1	0	50	84	17	13	17	63	41
14,9	2012	1	1	57	64	16	12	20	102	31
19,9	2012	1	0	47	58	9	8	27	162	74
11,2	2012	1	1	47	59	11	13	26	86	19
14,6	2012	1	1	57	78	14	9	23	114	51
17,6	2012	0	0	43	57	19	12	17	164	73
14,05	2012	0	1	41	60	13	13	20	119	24
16,1	2012	0	0	63	68	14	11	22	126	61
13,35	2012	0	1	63	68	15	11	19	132	23
11,85	2012	0	1	56	73	15	13	24	142	14
11,95	2012	0	0	51	69	14	12	19	83	54
14,75	2012	1	1	50	67	16	12	23	94	51
15,15	2012	1	0	22	60	17	10	15	81	62
13,2	2012	0	1	41	65	12	9	27	166	36
16,85	2012	1	0	59	66	15	10	26	110	59
7,85	2012	1	1	56	74	17	13	22	64	24
7,7	2012	0	0	66	81	15	13	22	93	26
12,6	2012	1	0	53	72	10	9	18	104	54
7,85	2012	1	1	42	55	16	11	15	105	39
10,95	2012	1	1	52	49	15	12	22	49	16
12,35	2012	1	0	54	74	11	8	27	88	36
9,95	2012	1	1	44	53	16	12	10	95	31
14,9	2012	1	1	62	64	16	12	20	102	31
16,65	2012	1	0	53	65	16	12	17	99	42
13,4	2012	1	1	50	57	14	9	23	63	39
13,95	2012	1	0	36	51	14	12	19	76	25
15,7	2012	1	0	76	80	16	12	13	109	31
16,85	2012	1	1	66	67	16	11	27	117	38
10,95	2012	1	1	62	70	18	12	23	57	31
15,35	2012	1	0	59	74	14	6	16	120	17
12,2	2012	1	1	47	75	20	7	25	73	22
15,1	2012	1	0	55	70	15	10	2	91	55
17,75	2012	1	0	58	69	16	12	26	108	62
15,2	2012	1	1	60	65	16	10	20	105	51
14,6	2012	0	0	44	55	16	12	23	117	30
16,65	2012	1	0	57	71	12	9	22	119	49
8,1	2012	1	1	45	65	8	3	24	31	16

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=268888&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=268888&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268888&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] = -8851 + 4.40382YEAR[t] + 1.06759GROUP[t] -0.524218GENDER[t] -0.00846811AMS_I[t] -0.0128155AMS_E[t] -0.105214CONFTSTAT[t] + 0.119561CONFTSOFT[t] + 0.0431957NUMERACY[t] + 0.0364377LFM[t] + 0.0353596CH[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
TOT[t] =  -8851 +  4.40382YEAR[t] +  1.06759GROUP[t] -0.524218GENDER[t] -0.00846811AMS_I[t] -0.0128155AMS_E[t] -0.105214CONFTSTAT[t] +  0.119561CONFTSOFT[t] +  0.0431957NUMERACY[t] +  0.0364377LFM[t] +  0.0353596CH[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268888&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]TOT[t] =  -8851 +  4.40382YEAR[t] +  1.06759GROUP[t] -0.524218GENDER[t] -0.00846811AMS_I[t] -0.0128155AMS_E[t] -0.105214CONFTSTAT[t] +  0.119561CONFTSOFT[t] +  0.0431957NUMERACY[t] +  0.0364377LFM[t] +  0.0353596CH[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268888&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268888&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] = -8851 + 4.40382YEAR[t] + 1.06759GROUP[t] -0.524218GENDER[t] -0.00846811AMS_I[t] -0.0128155AMS_E[t] -0.105214CONFTSTAT[t] + 0.119561CONFTSOFT[t] + 0.0431957NUMERACY[t] + 0.0364377LFM[t] + 0.0353596CH[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)	-8851	599.884	-14.75	1.9465e-36	9.73248e-37
YEAR	4.40382	0.29816	14.77	1.716e-36	8.58001e-37
GROUP	1.06759	0.330902	3.226	0.00141043	0.000705213
GENDER	-0.524218	0.301357	-1.74	0.0830948	0.0415474
AMS_I	-0.00846811	0.0149435	-0.5667	0.571411	0.285706
AMS_E	-0.0128155	0.0186231	-0.6882	0.491954	0.245977
CONFTSTAT	-0.105214	0.0679118	-1.549	0.122502	0.0612509
CONFTSOFT	0.119561	0.0797512	1.499	0.13501	0.0675052
NUMERACY	0.0431957	0.0276715	1.561	0.119705	0.0598523
LFM	0.0364377	0.00459907	7.923	6.3053e-14	3.15265e-14
CH	0.0353596	0.00840718	4.206	3.55322e-05	1.77661e-05

\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) & -8851 & 599.884 & -14.75 & 1.9465e-36 & 9.73248e-37 \tabularnewline
YEAR & 4.40382 & 0.29816 & 14.77 & 1.716e-36 & 8.58001e-37 \tabularnewline
GROUP & 1.06759 & 0.330902 & 3.226 & 0.00141043 & 0.000705213 \tabularnewline
GENDER & -0.524218 & 0.301357 & -1.74 & 0.0830948 & 0.0415474 \tabularnewline
AMS_I & -0.00846811 & 0.0149435 & -0.5667 & 0.571411 & 0.285706 \tabularnewline
AMS_E & -0.0128155 & 0.0186231 & -0.6882 & 0.491954 & 0.245977 \tabularnewline
CONFTSTAT & -0.105214 & 0.0679118 & -1.549 & 0.122502 & 0.0612509 \tabularnewline
CONFTSOFT & 0.119561 & 0.0797512 & 1.499 & 0.13501 & 0.0675052 \tabularnewline
NUMERACY & 0.0431957 & 0.0276715 & 1.561 & 0.119705 & 0.0598523 \tabularnewline
LFM & 0.0364377 & 0.00459907 & 7.923 & 6.3053e-14 & 3.15265e-14 \tabularnewline
CH & 0.0353596 & 0.00840718 & 4.206 & 3.55322e-05 & 1.77661e-05 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268888&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]-8851[/C][C]599.884[/C][C]-14.75[/C][C]1.9465e-36[/C][C]9.73248e-37[/C][/ROW]
[ROW][C]YEAR[/C][C]4.40382[/C][C]0.29816[/C][C]14.77[/C][C]1.716e-36[/C][C]8.58001e-37[/C][/ROW]
[ROW][C]GROUP[/C][C]1.06759[/C][C]0.330902[/C][C]3.226[/C][C]0.00141043[/C][C]0.000705213[/C][/ROW]
[ROW][C]GENDER[/C][C]-0.524218[/C][C]0.301357[/C][C]-1.74[/C][C]0.0830948[/C][C]0.0415474[/C][/ROW]
[ROW][C]AMS_I[/C][C]-0.00846811[/C][C]0.0149435[/C][C]-0.5667[/C][C]0.571411[/C][C]0.285706[/C][/ROW]
[ROW][C]AMS_E[/C][C]-0.0128155[/C][C]0.0186231[/C][C]-0.6882[/C][C]0.491954[/C][C]0.245977[/C][/ROW]
[ROW][C]CONFTSTAT[/C][C]-0.105214[/C][C]0.0679118[/C][C]-1.549[/C][C]0.122502[/C][C]0.0612509[/C][/ROW]
[ROW][C]CONFTSOFT[/C][C]0.119561[/C][C]0.0797512[/C][C]1.499[/C][C]0.13501[/C][C]0.0675052[/C][/ROW]
[ROW][C]NUMERACY[/C][C]0.0431957[/C][C]0.0276715[/C][C]1.561[/C][C]0.119705[/C][C]0.0598523[/C][/ROW]
[ROW][C]LFM[/C][C]0.0364377[/C][C]0.00459907[/C][C]7.923[/C][C]6.3053e-14[/C][C]3.15265e-14[/C][/ROW]
[ROW][C]CH[/C][C]0.0353596[/C][C]0.00840718[/C][C]4.206[/C][C]3.55322e-05[/C][C]1.77661e-05[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268888&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268888&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)	-8851	599.884	-14.75	1.9465e-36	9.73248e-37
YEAR	4.40382	0.29816	14.77	1.716e-36	8.58001e-37
GROUP	1.06759	0.330902	3.226	0.00141043	0.000705213
GENDER	-0.524218	0.301357	-1.74	0.0830948	0.0415474
AMS_I	-0.00846811	0.0149435	-0.5667	0.571411	0.285706
AMS_E	-0.0128155	0.0186231	-0.6882	0.491954	0.245977
CONFTSTAT	-0.105214	0.0679118	-1.549	0.122502	0.0612509
CONFTSOFT	0.119561	0.0797512	1.499	0.13501	0.0675052
NUMERACY	0.0431957	0.0276715	1.561	0.119705	0.0598523
LFM	0.0364377	0.00459907	7.923	6.3053e-14	3.15265e-14
CH	0.0353596	0.00840718	4.206	3.55322e-05	1.77661e-05

Multiple Linear Regression - Regression Statistics
Multiple R	0.749904
R-squared	0.562356
Adjusted R-squared	0.545965
F-TEST (value)	34.3085
F-TEST (DF numerator)	10
F-TEST (DF denominator)	267
p-value	0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	2.28719
Sum Squared Residuals	1396.74

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.749904 \tabularnewline
R-squared & 0.562356 \tabularnewline
Adjusted R-squared & 0.545965 \tabularnewline
F-TEST (value) & 34.3085 \tabularnewline
F-TEST (DF numerator) & 10 \tabularnewline
F-TEST (DF denominator) & 267 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 2.28719 \tabularnewline
Sum Squared Residuals & 1396.74 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268888&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.749904[/C][/ROW]
[ROW][C]R-squared[/C][C]0.562356[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.545965[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]34.3085[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]10[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]267[/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]2.28719[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]1396.74[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268888&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268888&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	0.749904
R-squared	0.562356
Adjusted R-squared	0.545965
F-TEST (value)	34.3085
F-TEST (DF numerator)	10
F-TEST (DF denominator)	267
p-value	0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	2.28719
Sum Squared Residuals	1396.74

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	InterpolationForecast	ResidualsPrediction Error
1	12.9	13.0171	-0.117112
2	12.2	10.7778	1.42219
3	12.8	11.3817	1.41826
4	7.4	11.6667	-4.26669
5	6.7	10.1565	-3.45651
6	12.6	13.6197	-1.01968
7	14.8	11.803	2.99702
8	13.3	10.8424	2.45764
9	11.1	11.8355	-0.735457
10	8.2	11.4421	-3.24215
11	11.4	11.8017	-0.401658
12	6.4	11.3017	-4.90171
13	10.6	9.29999	1.30001
14	12	13.5207	-1.52066
15	6.3	6.51034	-0.210336
16	11.3	9.5014	1.7986
17	11.9	12.4636	-0.563581
18	9.3	10.099	-0.79896
19	9.6	11.3306	-1.73062
20	10	10.0154	-0.0154464
21	6.4	9.88878	-3.48878
22	13.8	10.2695	3.53051
23	10.8	13.7115	-2.91147
24	13.8	13.5909	0.209076
25	11.7	10.8184	0.881589
26	10.9	14.9386	-4.03856
27	16.1	13.1409	2.95909
28	13.4	10.3769	3.02311
29	9.9	11.6181	-1.71813
30	11.5	11.129	0.370962
31	8.3	9.27354	-0.973537
32	11.7	11.3599	0.340109
33	9	10.0807	-1.08066
34	9.7	11.855	-2.15503
35	10.8	9.26021	1.53979
36	10.3	8.50568	1.79432
37	10.4	10.7851	-0.38513
38	12.7	10.1702	2.52978
39	9.3	11.86	-2.56002
40	11.8	12.0814	-0.281439
41	5.9	9.64542	-3.74542
42	11.4	10.9726	0.427441
43	13	11.1342	1.86578
44	10.8	11.7357	-0.935718
45	12.3	8.28797	4.01203
46	11.3	12.9454	-1.6454
47	11.8	9.69079	2.10921
48	7.9	9.65461	-1.75461
49	12.7	9.92883	2.77117
50	12.3	8.80004	3.49996
51	11.6	10.5491	1.05093
52	6.7	7.00076	-0.300759
53	10.9	10.4386	0.461355
54	12.1	11.2111	0.888949
55	13.3	9.81192	3.48808
56	10.1	9.75872	0.341279
57	5.7	10.5299	-4.82992
58	14.3	10.5888	3.71123
59	8	7.43611	0.563889
60	13.3	10.493	2.80697
61	9.3	12.7128	-3.41284
62	12.5	11.2348	1.2652
63	7.6	9.5808	-1.9808
64	15.9	13.5957	2.30431
65	9.2	12.3334	-3.13338
66	9.1	8.77149	0.328507
67	11.1	13.2816	-2.18163
68	13	15.1502	-2.15018
69	14.5	11.7133	2.78674
70	12.2	10.7087	1.49125
71	12.3	13.0379	-0.737938
72	11.4	10.2173	1.18271
73	8.8	9.93394	-1.13394
74	14.6	11.2729	3.32714
75	12.6	11.0563	1.54374
76	NA	NA	0.846316
77	13	11.0346	1.96537
78	12.6	11.617	0.982985
79	13.2	12.0864	1.1136
80	9.9	11.9869	-2.08689
81	7.7	7.60524	0.0947617
82	10.5	7.43501	3.06499
83	13.4	12.8692	0.530785
84	10.9	15.9144	-5.01436
85	4.3	5.05107	-0.751069
86	10.3	9.55301	0.746987
87	11.8	9.39194	2.40806
88	11.2	8.54349	2.65651
89	11.4	12.9874	-1.58744
90	8.6	7.14323	1.45677
91	13.2	9.13324	4.06676
92	12.6	17.2434	-4.64341
93	5.6	7.66834	-2.06834
94	9.9	11.0817	-1.1817
95	8.8	10.6198	-1.81985
96	7.7	9.12738	-1.42738
97	9	12.7272	-3.72716
98	7.3	5.46187	1.83813
99	11.4	7.91677	3.48323
100	13.6	16.0709	-2.47086
101	7.9	5.76536	2.13464
102	10.7	10.4606	0.239421
103	10.3	11.3386	-1.03858
104	8.3	9.5754	-1.2754
105	9.6	5.18495	4.41505
106	14.2	15.5402	-1.34023
107	8.5	4.91937	3.58063
108	13.5	18.3062	-4.80618
109	4.9	6.54768	-1.64768
110	6.4	7.61163	-1.21163
111	9.6	8.65175	0.948249
112	11.6	10.3592	1.24085
113	11.1	17.1654	-6.06545
114	4.35	3.74189	0.608112
115	12.7	9.73413	2.96587
116	18.1	15.5924	2.50765
117	17.85	19.2817	-1.43168
118	16.6	16.2563	0.343694
119	12.6	13.9231	-1.32305
120	17.1	15.3202	1.77978
121	19.1	21.9389	-2.83891
122	16.1	14.9135	1.18649
123	13.35	11.6713	1.67867
124	18.4	14.129	4.27095
125	14.7	17.1796	-2.47959
126	10.6	11.1595	-0.559518
127	12.6	10.8097	1.79034
128	16.2	16.371	-0.170973
129	13.6	11.093	2.50702
130	18.9	17.779	1.12102
131	14.1	13.0315	1.06854
132	14.5	15.8921	-1.39211
133	16.15	14.8047	1.34529
134	14.75	13.295	1.45505
135	14.8	14.857	-0.0569779
136	12.45	12.4812	-0.0311979
137	12.65	9.17518	3.47482
138	17.35	18.979	-1.62899
139	8.6	6.96257	1.63743
140	18.4	17.3557	1.0443
141	16.1	17.8707	-1.77074
142	11.6	8.83108	2.76892
143	17.75	17.6845	0.0654548
144	15.25	11.992	3.25797
145	17.65	17.4143	0.235691
146	16.35	15.5705	0.779544
147	17.65	17.7601	-0.110062
148	13.6	13.4848	0.115157
149	14.35	14.3493	0.000739324
150	14.75	12.7555	1.99449
151	18.25	23.9524	-5.70237
152	9.9	8.61633	1.28367
153	16	13.3081	2.69191
154	18.25	18.3374	-0.0874409
155	16.85	14.9874	1.86255
156	14.6	15.0517	-0.451696
157	13.85	11.9947	1.85533
158	18.95	17.8304	1.11964
159	15.6	17.828	-2.22803
160	14.85	17.0304	-2.18038
161	11.75	10.4511	1.29885
162	18.45	16.1614	2.28864
163	15.9	16.1707	-0.270706
164	17.1	9.97822	7.12178
165	16.1	15.3901	0.709926
166	19.9	20.8563	-0.956311
167	10.95	9.25752	1.69248
168	18.45	16.8043	1.64574
169	15.1	15.01	0.0900214
170	15	18.3892	-3.38916
171	11.35	10.0185	1.33145
172	15.95	13.5064	2.44362
173	18.1	20.1174	-2.0174
174	14.6	14.7869	-0.186914
175	15.4	15.5613	-0.161283
176	15.4	12.9742	2.42585
177	17.6	19.0409	-1.44092
178	13.35	10.3662	2.9838
179	19.1	20.3006	-1.2006
180	15.35	19.5269	-4.17688
181	7.6	10.4405	-2.84046
182	13.4	15.065	-1.665
183	13.9	11.0682	2.83177
184	19.1	19.0019	0.0981288
185	15.25	17.8783	-2.62835
186	12.9	12.9454	-0.0453575
187	16.1	13.6911	2.4089
188	17.35	19.5464	-2.19636
189	13.15	15.3932	-2.24321
190	12.15	11.8561	0.293866
191	12.6	14.831	-2.23097
192	10.35	9.45454	0.895463
193	15.4	18.6324	-3.23241
194	9.6	6.1565	3.4435
195	18.2	18.9655	-0.765453
196	13.6	12.9694	0.630628
197	14.85	16.3259	-1.47593
198	14.75	14.5586	0.191352
199	14.1	12.564	1.536
200	14.9	13.7959	1.10409
201	16.25	16.2181	0.0319253
202	19.25	18.2999	0.95009
203	13.6	14.8596	-1.25958
204	13.6	13.2404	0.359617
205	15.65	16.6776	-1.02763
206	12.75	11.359	1.391
207	14.6	15.6935	-1.0935
208	9.85	9.60618	0.243823
209	12.65	9.8287	2.8213
210	19.2	17.939	1.26103
211	16.6	17.6791	-1.07909
212	11.2	10.4154	0.784597
213	15.25	17.4397	-2.18967
214	11.9	12.9073	-1.00732
215	13.2	14.0436	-0.84363
216	16.35	17.3032	-0.953178
217	12.4	10.934	1.46597
218	15.85	13.486	2.36401
219	18.15	19.629	-1.479
220	11.15	11.8756	-0.725621
221	15.65	12.8107	2.83932
222	17.75	22.3045	-4.55448
223	7.65	8.39725	-0.747245
224	12.35	10.073	2.277
225	15.6	12.9056	2.69435
226	19.3	17.0749	2.22507
227	15.2	12.7321	2.46793
228	17.1	15.127	1.97296
229	15.6	12.6179	2.98206
230	18.4	15.1252	3.27481
231	19.05	15.2616	3.78836
232	18.55	16.2631	2.28695
233	19.1	19.3885	-0.288486
234	13.1	15.5813	-2.48129
235	12.85	15.049	-2.19898
236	9.5	15.8756	-6.37563
237	4.5	4.86633	-0.366331
238	11.85	13.1117	-1.26169
239	13.6	14.0399	-0.439939
240	11.7	12.2928	-0.592813
241	12.4	13.8408	-1.44081
242	13.35	15.2371	-1.88712
243	11.4	10.6427	0.757348
244	14.9	14.0958	0.804209
245	19.9	22.8889	-2.98889
246	11.2	11.689	-0.489011
247	14.6	14.1066	0.49344
248	17.6	17.6189	-0.018943
249	14.05	13.5598	0.490236
250	16.1	16.4757	-0.375707
251	13.35	15.7221	-2.37215
252	11.85	13.7742	-1.9242
253	11.95	11.9088	0.0412398
254	14.75	14.3852	0.364841
255	15.15	18.0211	-2.87109
256	13.2	12.3811	0.81886
257	16.85	21.4916	-4.64155
258	7.85	13.2616	-5.41164
259	7.7	10.7706	-3.07057
260	12.6	19.1917	-6.59166
261	7.85	9.00724	-1.15724
262	10.95	13.181	-2.23098
263	12.35	16.1067	-3.75669
264	9.95	9.15031	0.799688
265	14.9	13.088	1.81202
266	16.65	16.3848	0.265224
267	13.4	13.469	-0.068996
268	13.95	12.5036	1.44638
269	15.7	13.8549	1.84512
270	16.85	18.2029	-1.35288
271	10.95	9.6029	1.3471
272	15.35	15.0588	0.291247
273	12.2	11.2433	0.956701
274	15.1	13.5183	1.58173
275	17.75	17.2318	0.518184
276	15.2	15.0655	0.134498
277	14.6	13.9316	0.668362
278	16.65	19.6024	-2.95243
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 & 13.0171 & -0.117112 \tabularnewline
2 & 12.2 & 10.7778 & 1.42219 \tabularnewline
3 & 12.8 & 11.3817 & 1.41826 \tabularnewline
4 & 7.4 & 11.6667 & -4.26669 \tabularnewline
5 & 6.7 & 10.1565 & -3.45651 \tabularnewline
6 & 12.6 & 13.6197 & -1.01968 \tabularnewline
7 & 14.8 & 11.803 & 2.99702 \tabularnewline
8 & 13.3 & 10.8424 & 2.45764 \tabularnewline
9 & 11.1 & 11.8355 & -0.735457 \tabularnewline
10 & 8.2 & 11.4421 & -3.24215 \tabularnewline
11 & 11.4 & 11.8017 & -0.401658 \tabularnewline
12 & 6.4 & 11.3017 & -4.90171 \tabularnewline
13 & 10.6 & 9.29999 & 1.30001 \tabularnewline
14 & 12 & 13.5207 & -1.52066 \tabularnewline
15 & 6.3 & 6.51034 & -0.210336 \tabularnewline
16 & 11.3 & 9.5014 & 1.7986 \tabularnewline
17 & 11.9 & 12.4636 & -0.563581 \tabularnewline
18 & 9.3 & 10.099 & -0.79896 \tabularnewline
19 & 9.6 & 11.3306 & -1.73062 \tabularnewline
20 & 10 & 10.0154 & -0.0154464 \tabularnewline
21 & 6.4 & 9.88878 & -3.48878 \tabularnewline
22 & 13.8 & 10.2695 & 3.53051 \tabularnewline
23 & 10.8 & 13.7115 & -2.91147 \tabularnewline
24 & 13.8 & 13.5909 & 0.209076 \tabularnewline
25 & 11.7 & 10.8184 & 0.881589 \tabularnewline
26 & 10.9 & 14.9386 & -4.03856 \tabularnewline
27 & 16.1 & 13.1409 & 2.95909 \tabularnewline
28 & 13.4 & 10.3769 & 3.02311 \tabularnewline
29 & 9.9 & 11.6181 & -1.71813 \tabularnewline
30 & 11.5 & 11.129 & 0.370962 \tabularnewline
31 & 8.3 & 9.27354 & -0.973537 \tabularnewline
32 & 11.7 & 11.3599 & 0.340109 \tabularnewline
33 & 9 & 10.0807 & -1.08066 \tabularnewline
34 & 9.7 & 11.855 & -2.15503 \tabularnewline
35 & 10.8 & 9.26021 & 1.53979 \tabularnewline
36 & 10.3 & 8.50568 & 1.79432 \tabularnewline
37 & 10.4 & 10.7851 & -0.38513 \tabularnewline
38 & 12.7 & 10.1702 & 2.52978 \tabularnewline
39 & 9.3 & 11.86 & -2.56002 \tabularnewline
40 & 11.8 & 12.0814 & -0.281439 \tabularnewline
41 & 5.9 & 9.64542 & -3.74542 \tabularnewline
42 & 11.4 & 10.9726 & 0.427441 \tabularnewline
43 & 13 & 11.1342 & 1.86578 \tabularnewline
44 & 10.8 & 11.7357 & -0.935718 \tabularnewline
45 & 12.3 & 8.28797 & 4.01203 \tabularnewline
46 & 11.3 & 12.9454 & -1.6454 \tabularnewline
47 & 11.8 & 9.69079 & 2.10921 \tabularnewline
48 & 7.9 & 9.65461 & -1.75461 \tabularnewline
49 & 12.7 & 9.92883 & 2.77117 \tabularnewline
50 & 12.3 & 8.80004 & 3.49996 \tabularnewline
51 & 11.6 & 10.5491 & 1.05093 \tabularnewline
52 & 6.7 & 7.00076 & -0.300759 \tabularnewline
53 & 10.9 & 10.4386 & 0.461355 \tabularnewline
54 & 12.1 & 11.2111 & 0.888949 \tabularnewline
55 & 13.3 & 9.81192 & 3.48808 \tabularnewline
56 & 10.1 & 9.75872 & 0.341279 \tabularnewline
57 & 5.7 & 10.5299 & -4.82992 \tabularnewline
58 & 14.3 & 10.5888 & 3.71123 \tabularnewline
59 & 8 & 7.43611 & 0.563889 \tabularnewline
60 & 13.3 & 10.493 & 2.80697 \tabularnewline
61 & 9.3 & 12.7128 & -3.41284 \tabularnewline
62 & 12.5 & 11.2348 & 1.2652 \tabularnewline
63 & 7.6 & 9.5808 & -1.9808 \tabularnewline
64 & 15.9 & 13.5957 & 2.30431 \tabularnewline
65 & 9.2 & 12.3334 & -3.13338 \tabularnewline
66 & 9.1 & 8.77149 & 0.328507 \tabularnewline
67 & 11.1 & 13.2816 & -2.18163 \tabularnewline
68 & 13 & 15.1502 & -2.15018 \tabularnewline
69 & 14.5 & 11.7133 & 2.78674 \tabularnewline
70 & 12.2 & 10.7087 & 1.49125 \tabularnewline
71 & 12.3 & 13.0379 & -0.737938 \tabularnewline
72 & 11.4 & 10.2173 & 1.18271 \tabularnewline
73 & 8.8 & 9.93394 & -1.13394 \tabularnewline
74 & 14.6 & 11.2729 & 3.32714 \tabularnewline
75 & 12.6 & 11.0563 & 1.54374 \tabularnewline
76 & NA & NA & 0.846316 \tabularnewline
77 & 13 & 11.0346 & 1.96537 \tabularnewline
78 & 12.6 & 11.617 & 0.982985 \tabularnewline
79 & 13.2 & 12.0864 & 1.1136 \tabularnewline
80 & 9.9 & 11.9869 & -2.08689 \tabularnewline
81 & 7.7 & 7.60524 & 0.0947617 \tabularnewline
82 & 10.5 & 7.43501 & 3.06499 \tabularnewline
83 & 13.4 & 12.8692 & 0.530785 \tabularnewline
84 & 10.9 & 15.9144 & -5.01436 \tabularnewline
85 & 4.3 & 5.05107 & -0.751069 \tabularnewline
86 & 10.3 & 9.55301 & 0.746987 \tabularnewline
87 & 11.8 & 9.39194 & 2.40806 \tabularnewline
88 & 11.2 & 8.54349 & 2.65651 \tabularnewline
89 & 11.4 & 12.9874 & -1.58744 \tabularnewline
90 & 8.6 & 7.14323 & 1.45677 \tabularnewline
91 & 13.2 & 9.13324 & 4.06676 \tabularnewline
92 & 12.6 & 17.2434 & -4.64341 \tabularnewline
93 & 5.6 & 7.66834 & -2.06834 \tabularnewline
94 & 9.9 & 11.0817 & -1.1817 \tabularnewline
95 & 8.8 & 10.6198 & -1.81985 \tabularnewline
96 & 7.7 & 9.12738 & -1.42738 \tabularnewline
97 & 9 & 12.7272 & -3.72716 \tabularnewline
98 & 7.3 & 5.46187 & 1.83813 \tabularnewline
99 & 11.4 & 7.91677 & 3.48323 \tabularnewline
100 & 13.6 & 16.0709 & -2.47086 \tabularnewline
101 & 7.9 & 5.76536 & 2.13464 \tabularnewline
102 & 10.7 & 10.4606 & 0.239421 \tabularnewline
103 & 10.3 & 11.3386 & -1.03858 \tabularnewline
104 & 8.3 & 9.5754 & -1.2754 \tabularnewline
105 & 9.6 & 5.18495 & 4.41505 \tabularnewline
106 & 14.2 & 15.5402 & -1.34023 \tabularnewline
107 & 8.5 & 4.91937 & 3.58063 \tabularnewline
108 & 13.5 & 18.3062 & -4.80618 \tabularnewline
109 & 4.9 & 6.54768 & -1.64768 \tabularnewline
110 & 6.4 & 7.61163 & -1.21163 \tabularnewline
111 & 9.6 & 8.65175 & 0.948249 \tabularnewline
112 & 11.6 & 10.3592 & 1.24085 \tabularnewline
113 & 11.1 & 17.1654 & -6.06545 \tabularnewline
114 & 4.35 & 3.74189 & 0.608112 \tabularnewline
115 & 12.7 & 9.73413 & 2.96587 \tabularnewline
116 & 18.1 & 15.5924 & 2.50765 \tabularnewline
117 & 17.85 & 19.2817 & -1.43168 \tabularnewline
118 & 16.6 & 16.2563 & 0.343694 \tabularnewline
119 & 12.6 & 13.9231 & -1.32305 \tabularnewline
120 & 17.1 & 15.3202 & 1.77978 \tabularnewline
121 & 19.1 & 21.9389 & -2.83891 \tabularnewline
122 & 16.1 & 14.9135 & 1.18649 \tabularnewline
123 & 13.35 & 11.6713 & 1.67867 \tabularnewline
124 & 18.4 & 14.129 & 4.27095 \tabularnewline
125 & 14.7 & 17.1796 & -2.47959 \tabularnewline
126 & 10.6 & 11.1595 & -0.559518 \tabularnewline
127 & 12.6 & 10.8097 & 1.79034 \tabularnewline
128 & 16.2 & 16.371 & -0.170973 \tabularnewline
129 & 13.6 & 11.093 & 2.50702 \tabularnewline
130 & 18.9 & 17.779 & 1.12102 \tabularnewline
131 & 14.1 & 13.0315 & 1.06854 \tabularnewline
132 & 14.5 & 15.8921 & -1.39211 \tabularnewline
133 & 16.15 & 14.8047 & 1.34529 \tabularnewline
134 & 14.75 & 13.295 & 1.45505 \tabularnewline
135 & 14.8 & 14.857 & -0.0569779 \tabularnewline
136 & 12.45 & 12.4812 & -0.0311979 \tabularnewline
137 & 12.65 & 9.17518 & 3.47482 \tabularnewline
138 & 17.35 & 18.979 & -1.62899 \tabularnewline
139 & 8.6 & 6.96257 & 1.63743 \tabularnewline
140 & 18.4 & 17.3557 & 1.0443 \tabularnewline
141 & 16.1 & 17.8707 & -1.77074 \tabularnewline
142 & 11.6 & 8.83108 & 2.76892 \tabularnewline
143 & 17.75 & 17.6845 & 0.0654548 \tabularnewline
144 & 15.25 & 11.992 & 3.25797 \tabularnewline
145 & 17.65 & 17.4143 & 0.235691 \tabularnewline
146 & 16.35 & 15.5705 & 0.779544 \tabularnewline
147 & 17.65 & 17.7601 & -0.110062 \tabularnewline
148 & 13.6 & 13.4848 & 0.115157 \tabularnewline
149 & 14.35 & 14.3493 & 0.000739324 \tabularnewline
150 & 14.75 & 12.7555 & 1.99449 \tabularnewline
151 & 18.25 & 23.9524 & -5.70237 \tabularnewline
152 & 9.9 & 8.61633 & 1.28367 \tabularnewline
153 & 16 & 13.3081 & 2.69191 \tabularnewline
154 & 18.25 & 18.3374 & -0.0874409 \tabularnewline
155 & 16.85 & 14.9874 & 1.86255 \tabularnewline
156 & 14.6 & 15.0517 & -0.451696 \tabularnewline
157 & 13.85 & 11.9947 & 1.85533 \tabularnewline
158 & 18.95 & 17.8304 & 1.11964 \tabularnewline
159 & 15.6 & 17.828 & -2.22803 \tabularnewline
160 & 14.85 & 17.0304 & -2.18038 \tabularnewline
161 & 11.75 & 10.4511 & 1.29885 \tabularnewline
162 & 18.45 & 16.1614 & 2.28864 \tabularnewline
163 & 15.9 & 16.1707 & -0.270706 \tabularnewline
164 & 17.1 & 9.97822 & 7.12178 \tabularnewline
165 & 16.1 & 15.3901 & 0.709926 \tabularnewline
166 & 19.9 & 20.8563 & -0.956311 \tabularnewline
167 & 10.95 & 9.25752 & 1.69248 \tabularnewline
168 & 18.45 & 16.8043 & 1.64574 \tabularnewline
169 & 15.1 & 15.01 & 0.0900214 \tabularnewline
170 & 15 & 18.3892 & -3.38916 \tabularnewline
171 & 11.35 & 10.0185 & 1.33145 \tabularnewline
172 & 15.95 & 13.5064 & 2.44362 \tabularnewline
173 & 18.1 & 20.1174 & -2.0174 \tabularnewline
174 & 14.6 & 14.7869 & -0.186914 \tabularnewline
175 & 15.4 & 15.5613 & -0.161283 \tabularnewline
176 & 15.4 & 12.9742 & 2.42585 \tabularnewline
177 & 17.6 & 19.0409 & -1.44092 \tabularnewline
178 & 13.35 & 10.3662 & 2.9838 \tabularnewline
179 & 19.1 & 20.3006 & -1.2006 \tabularnewline
180 & 15.35 & 19.5269 & -4.17688 \tabularnewline
181 & 7.6 & 10.4405 & -2.84046 \tabularnewline
182 & 13.4 & 15.065 & -1.665 \tabularnewline
183 & 13.9 & 11.0682 & 2.83177 \tabularnewline
184 & 19.1 & 19.0019 & 0.0981288 \tabularnewline
185 & 15.25 & 17.8783 & -2.62835 \tabularnewline
186 & 12.9 & 12.9454 & -0.0453575 \tabularnewline
187 & 16.1 & 13.6911 & 2.4089 \tabularnewline
188 & 17.35 & 19.5464 & -2.19636 \tabularnewline
189 & 13.15 & 15.3932 & -2.24321 \tabularnewline
190 & 12.15 & 11.8561 & 0.293866 \tabularnewline
191 & 12.6 & 14.831 & -2.23097 \tabularnewline
192 & 10.35 & 9.45454 & 0.895463 \tabularnewline
193 & 15.4 & 18.6324 & -3.23241 \tabularnewline
194 & 9.6 & 6.1565 & 3.4435 \tabularnewline
195 & 18.2 & 18.9655 & -0.765453 \tabularnewline
196 & 13.6 & 12.9694 & 0.630628 \tabularnewline
197 & 14.85 & 16.3259 & -1.47593 \tabularnewline
198 & 14.75 & 14.5586 & 0.191352 \tabularnewline
199 & 14.1 & 12.564 & 1.536 \tabularnewline
200 & 14.9 & 13.7959 & 1.10409 \tabularnewline
201 & 16.25 & 16.2181 & 0.0319253 \tabularnewline
202 & 19.25 & 18.2999 & 0.95009 \tabularnewline
203 & 13.6 & 14.8596 & -1.25958 \tabularnewline
204 & 13.6 & 13.2404 & 0.359617 \tabularnewline
205 & 15.65 & 16.6776 & -1.02763 \tabularnewline
206 & 12.75 & 11.359 & 1.391 \tabularnewline
207 & 14.6 & 15.6935 & -1.0935 \tabularnewline
208 & 9.85 & 9.60618 & 0.243823 \tabularnewline
209 & 12.65 & 9.8287 & 2.8213 \tabularnewline
210 & 19.2 & 17.939 & 1.26103 \tabularnewline
211 & 16.6 & 17.6791 & -1.07909 \tabularnewline
212 & 11.2 & 10.4154 & 0.784597 \tabularnewline
213 & 15.25 & 17.4397 & -2.18967 \tabularnewline
214 & 11.9 & 12.9073 & -1.00732 \tabularnewline
215 & 13.2 & 14.0436 & -0.84363 \tabularnewline
216 & 16.35 & 17.3032 & -0.953178 \tabularnewline
217 & 12.4 & 10.934 & 1.46597 \tabularnewline
218 & 15.85 & 13.486 & 2.36401 \tabularnewline
219 & 18.15 & 19.629 & -1.479 \tabularnewline
220 & 11.15 & 11.8756 & -0.725621 \tabularnewline
221 & 15.65 & 12.8107 & 2.83932 \tabularnewline
222 & 17.75 & 22.3045 & -4.55448 \tabularnewline
223 & 7.65 & 8.39725 & -0.747245 \tabularnewline
224 & 12.35 & 10.073 & 2.277 \tabularnewline
225 & 15.6 & 12.9056 & 2.69435 \tabularnewline
226 & 19.3 & 17.0749 & 2.22507 \tabularnewline
227 & 15.2 & 12.7321 & 2.46793 \tabularnewline
228 & 17.1 & 15.127 & 1.97296 \tabularnewline
229 & 15.6 & 12.6179 & 2.98206 \tabularnewline
230 & 18.4 & 15.1252 & 3.27481 \tabularnewline
231 & 19.05 & 15.2616 & 3.78836 \tabularnewline
232 & 18.55 & 16.2631 & 2.28695 \tabularnewline
233 & 19.1 & 19.3885 & -0.288486 \tabularnewline
234 & 13.1 & 15.5813 & -2.48129 \tabularnewline
235 & 12.85 & 15.049 & -2.19898 \tabularnewline
236 & 9.5 & 15.8756 & -6.37563 \tabularnewline
237 & 4.5 & 4.86633 & -0.366331 \tabularnewline
238 & 11.85 & 13.1117 & -1.26169 \tabularnewline
239 & 13.6 & 14.0399 & -0.439939 \tabularnewline
240 & 11.7 & 12.2928 & -0.592813 \tabularnewline
241 & 12.4 & 13.8408 & -1.44081 \tabularnewline
242 & 13.35 & 15.2371 & -1.88712 \tabularnewline
243 & 11.4 & 10.6427 & 0.757348 \tabularnewline
244 & 14.9 & 14.0958 & 0.804209 \tabularnewline
245 & 19.9 & 22.8889 & -2.98889 \tabularnewline
246 & 11.2 & 11.689 & -0.489011 \tabularnewline
247 & 14.6 & 14.1066 & 0.49344 \tabularnewline
248 & 17.6 & 17.6189 & -0.018943 \tabularnewline
249 & 14.05 & 13.5598 & 0.490236 \tabularnewline
250 & 16.1 & 16.4757 & -0.375707 \tabularnewline
251 & 13.35 & 15.7221 & -2.37215 \tabularnewline
252 & 11.85 & 13.7742 & -1.9242 \tabularnewline
253 & 11.95 & 11.9088 & 0.0412398 \tabularnewline
254 & 14.75 & 14.3852 & 0.364841 \tabularnewline
255 & 15.15 & 18.0211 & -2.87109 \tabularnewline
256 & 13.2 & 12.3811 & 0.81886 \tabularnewline
257 & 16.85 & 21.4916 & -4.64155 \tabularnewline
258 & 7.85 & 13.2616 & -5.41164 \tabularnewline
259 & 7.7 & 10.7706 & -3.07057 \tabularnewline
260 & 12.6 & 19.1917 & -6.59166 \tabularnewline
261 & 7.85 & 9.00724 & -1.15724 \tabularnewline
262 & 10.95 & 13.181 & -2.23098 \tabularnewline
263 & 12.35 & 16.1067 & -3.75669 \tabularnewline
264 & 9.95 & 9.15031 & 0.799688 \tabularnewline
265 & 14.9 & 13.088 & 1.81202 \tabularnewline
266 & 16.65 & 16.3848 & 0.265224 \tabularnewline
267 & 13.4 & 13.469 & -0.068996 \tabularnewline
268 & 13.95 & 12.5036 & 1.44638 \tabularnewline
269 & 15.7 & 13.8549 & 1.84512 \tabularnewline
270 & 16.85 & 18.2029 & -1.35288 \tabularnewline
271 & 10.95 & 9.6029 & 1.3471 \tabularnewline
272 & 15.35 & 15.0588 & 0.291247 \tabularnewline
273 & 12.2 & 11.2433 & 0.956701 \tabularnewline
274 & 15.1 & 13.5183 & 1.58173 \tabularnewline
275 & 17.75 & 17.2318 & 0.518184 \tabularnewline
276 & 15.2 & 15.0655 & 0.134498 \tabularnewline
277 & 14.6 & 13.9316 & 0.668362 \tabularnewline
278 & 16.65 & 19.6024 & -2.95243 \tabularnewline
279 & 8.1 & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268888&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]13.0171[/C][C]-0.117112[/C][/ROW]
[ROW][C]2[/C][C]12.2[/C][C]10.7778[/C][C]1.42219[/C][/ROW]
[ROW][C]3[/C][C]12.8[/C][C]11.3817[/C][C]1.41826[/C][/ROW]
[ROW][C]4[/C][C]7.4[/C][C]11.6667[/C][C]-4.26669[/C][/ROW]
[ROW][C]5[/C][C]6.7[/C][C]10.1565[/C][C]-3.45651[/C][/ROW]
[ROW][C]6[/C][C]12.6[/C][C]13.6197[/C][C]-1.01968[/C][/ROW]
[ROW][C]7[/C][C]14.8[/C][C]11.803[/C][C]2.99702[/C][/ROW]
[ROW][C]8[/C][C]13.3[/C][C]10.8424[/C][C]2.45764[/C][/ROW]
[ROW][C]9[/C][C]11.1[/C][C]11.8355[/C][C]-0.735457[/C][/ROW]
[ROW][C]10[/C][C]8.2[/C][C]11.4421[/C][C]-3.24215[/C][/ROW]
[ROW][C]11[/C][C]11.4[/C][C]11.8017[/C][C]-0.401658[/C][/ROW]
[ROW][C]12[/C][C]6.4[/C][C]11.3017[/C][C]-4.90171[/C][/ROW]
[ROW][C]13[/C][C]10.6[/C][C]9.29999[/C][C]1.30001[/C][/ROW]
[ROW][C]14[/C][C]12[/C][C]13.5207[/C][C]-1.52066[/C][/ROW]
[ROW][C]15[/C][C]6.3[/C][C]6.51034[/C][C]-0.210336[/C][/ROW]
[ROW][C]16[/C][C]11.3[/C][C]9.5014[/C][C]1.7986[/C][/ROW]
[ROW][C]17[/C][C]11.9[/C][C]12.4636[/C][C]-0.563581[/C][/ROW]
[ROW][C]18[/C][C]9.3[/C][C]10.099[/C][C]-0.79896[/C][/ROW]
[ROW][C]19[/C][C]9.6[/C][C]11.3306[/C][C]-1.73062[/C][/ROW]
[ROW][C]20[/C][C]10[/C][C]10.0154[/C][C]-0.0154464[/C][/ROW]
[ROW][C]21[/C][C]6.4[/C][C]9.88878[/C][C]-3.48878[/C][/ROW]
[ROW][C]22[/C][C]13.8[/C][C]10.2695[/C][C]3.53051[/C][/ROW]
[ROW][C]23[/C][C]10.8[/C][C]13.7115[/C][C]-2.91147[/C][/ROW]
[ROW][C]24[/C][C]13.8[/C][C]13.5909[/C][C]0.209076[/C][/ROW]
[ROW][C]25[/C][C]11.7[/C][C]10.8184[/C][C]0.881589[/C][/ROW]
[ROW][C]26[/C][C]10.9[/C][C]14.9386[/C][C]-4.03856[/C][/ROW]
[ROW][C]27[/C][C]16.1[/C][C]13.1409[/C][C]2.95909[/C][/ROW]
[ROW][C]28[/C][C]13.4[/C][C]10.3769[/C][C]3.02311[/C][/ROW]
[ROW][C]29[/C][C]9.9[/C][C]11.6181[/C][C]-1.71813[/C][/ROW]
[ROW][C]30[/C][C]11.5[/C][C]11.129[/C][C]0.370962[/C][/ROW]
[ROW][C]31[/C][C]8.3[/C][C]9.27354[/C][C]-0.973537[/C][/ROW]
[ROW][C]32[/C][C]11.7[/C][C]11.3599[/C][C]0.340109[/C][/ROW]
[ROW][C]33[/C][C]9[/C][C]10.0807[/C][C]-1.08066[/C][/ROW]
[ROW][C]34[/C][C]9.7[/C][C]11.855[/C][C]-2.15503[/C][/ROW]
[ROW][C]35[/C][C]10.8[/C][C]9.26021[/C][C]1.53979[/C][/ROW]
[ROW][C]36[/C][C]10.3[/C][C]8.50568[/C][C]1.79432[/C][/ROW]
[ROW][C]37[/C][C]10.4[/C][C]10.7851[/C][C]-0.38513[/C][/ROW]
[ROW][C]38[/C][C]12.7[/C][C]10.1702[/C][C]2.52978[/C][/ROW]
[ROW][C]39[/C][C]9.3[/C][C]11.86[/C][C]-2.56002[/C][/ROW]
[ROW][C]40[/C][C]11.8[/C][C]12.0814[/C][C]-0.281439[/C][/ROW]
[ROW][C]41[/C][C]5.9[/C][C]9.64542[/C][C]-3.74542[/C][/ROW]
[ROW][C]42[/C][C]11.4[/C][C]10.9726[/C][C]0.427441[/C][/ROW]
[ROW][C]43[/C][C]13[/C][C]11.1342[/C][C]1.86578[/C][/ROW]
[ROW][C]44[/C][C]10.8[/C][C]11.7357[/C][C]-0.935718[/C][/ROW]
[ROW][C]45[/C][C]12.3[/C][C]8.28797[/C][C]4.01203[/C][/ROW]
[ROW][C]46[/C][C]11.3[/C][C]12.9454[/C][C]-1.6454[/C][/ROW]
[ROW][C]47[/C][C]11.8[/C][C]9.69079[/C][C]2.10921[/C][/ROW]
[ROW][C]48[/C][C]7.9[/C][C]9.65461[/C][C]-1.75461[/C][/ROW]
[ROW][C]49[/C][C]12.7[/C][C]9.92883[/C][C]2.77117[/C][/ROW]
[ROW][C]50[/C][C]12.3[/C][C]8.80004[/C][C]3.49996[/C][/ROW]
[ROW][C]51[/C][C]11.6[/C][C]10.5491[/C][C]1.05093[/C][/ROW]
[ROW][C]52[/C][C]6.7[/C][C]7.00076[/C][C]-0.300759[/C][/ROW]
[ROW][C]53[/C][C]10.9[/C][C]10.4386[/C][C]0.461355[/C][/ROW]
[ROW][C]54[/C][C]12.1[/C][C]11.2111[/C][C]0.888949[/C][/ROW]
[ROW][C]55[/C][C]13.3[/C][C]9.81192[/C][C]3.48808[/C][/ROW]
[ROW][C]56[/C][C]10.1[/C][C]9.75872[/C][C]0.341279[/C][/ROW]
[ROW][C]57[/C][C]5.7[/C][C]10.5299[/C][C]-4.82992[/C][/ROW]
[ROW][C]58[/C][C]14.3[/C][C]10.5888[/C][C]3.71123[/C][/ROW]
[ROW][C]59[/C][C]8[/C][C]7.43611[/C][C]0.563889[/C][/ROW]
[ROW][C]60[/C][C]13.3[/C][C]10.493[/C][C]2.80697[/C][/ROW]
[ROW][C]61[/C][C]9.3[/C][C]12.7128[/C][C]-3.41284[/C][/ROW]
[ROW][C]62[/C][C]12.5[/C][C]11.2348[/C][C]1.2652[/C][/ROW]
[ROW][C]63[/C][C]7.6[/C][C]9.5808[/C][C]-1.9808[/C][/ROW]
[ROW][C]64[/C][C]15.9[/C][C]13.5957[/C][C]2.30431[/C][/ROW]
[ROW][C]65[/C][C]9.2[/C][C]12.3334[/C][C]-3.13338[/C][/ROW]
[ROW][C]66[/C][C]9.1[/C][C]8.77149[/C][C]0.328507[/C][/ROW]
[ROW][C]67[/C][C]11.1[/C][C]13.2816[/C][C]-2.18163[/C][/ROW]
[ROW][C]68[/C][C]13[/C][C]15.1502[/C][C]-2.15018[/C][/ROW]
[ROW][C]69[/C][C]14.5[/C][C]11.7133[/C][C]2.78674[/C][/ROW]
[ROW][C]70[/C][C]12.2[/C][C]10.7087[/C][C]1.49125[/C][/ROW]
[ROW][C]71[/C][C]12.3[/C][C]13.0379[/C][C]-0.737938[/C][/ROW]
[ROW][C]72[/C][C]11.4[/C][C]10.2173[/C][C]1.18271[/C][/ROW]
[ROW][C]73[/C][C]8.8[/C][C]9.93394[/C][C]-1.13394[/C][/ROW]
[ROW][C]74[/C][C]14.6[/C][C]11.2729[/C][C]3.32714[/C][/ROW]
[ROW][C]75[/C][C]12.6[/C][C]11.0563[/C][C]1.54374[/C][/ROW]
[ROW][C]76[/C][C]NA[/C][C]NA[/C][C]0.846316[/C][/ROW]
[ROW][C]77[/C][C]13[/C][C]11.0346[/C][C]1.96537[/C][/ROW]
[ROW][C]78[/C][C]12.6[/C][C]11.617[/C][C]0.982985[/C][/ROW]
[ROW][C]79[/C][C]13.2[/C][C]12.0864[/C][C]1.1136[/C][/ROW]
[ROW][C]80[/C][C]9.9[/C][C]11.9869[/C][C]-2.08689[/C][/ROW]
[ROW][C]81[/C][C]7.7[/C][C]7.60524[/C][C]0.0947617[/C][/ROW]
[ROW][C]82[/C][C]10.5[/C][C]7.43501[/C][C]3.06499[/C][/ROW]
[ROW][C]83[/C][C]13.4[/C][C]12.8692[/C][C]0.530785[/C][/ROW]
[ROW][C]84[/C][C]10.9[/C][C]15.9144[/C][C]-5.01436[/C][/ROW]
[ROW][C]85[/C][C]4.3[/C][C]5.05107[/C][C]-0.751069[/C][/ROW]
[ROW][C]86[/C][C]10.3[/C][C]9.55301[/C][C]0.746987[/C][/ROW]
[ROW][C]87[/C][C]11.8[/C][C]9.39194[/C][C]2.40806[/C][/ROW]
[ROW][C]88[/C][C]11.2[/C][C]8.54349[/C][C]2.65651[/C][/ROW]
[ROW][C]89[/C][C]11.4[/C][C]12.9874[/C][C]-1.58744[/C][/ROW]
[ROW][C]90[/C][C]8.6[/C][C]7.14323[/C][C]1.45677[/C][/ROW]
[ROW][C]91[/C][C]13.2[/C][C]9.13324[/C][C]4.06676[/C][/ROW]
[ROW][C]92[/C][C]12.6[/C][C]17.2434[/C][C]-4.64341[/C][/ROW]
[ROW][C]93[/C][C]5.6[/C][C]7.66834[/C][C]-2.06834[/C][/ROW]
[ROW][C]94[/C][C]9.9[/C][C]11.0817[/C][C]-1.1817[/C][/ROW]
[ROW][C]95[/C][C]8.8[/C][C]10.6198[/C][C]-1.81985[/C][/ROW]
[ROW][C]96[/C][C]7.7[/C][C]9.12738[/C][C]-1.42738[/C][/ROW]
[ROW][C]97[/C][C]9[/C][C]12.7272[/C][C]-3.72716[/C][/ROW]
[ROW][C]98[/C][C]7.3[/C][C]5.46187[/C][C]1.83813[/C][/ROW]
[ROW][C]99[/C][C]11.4[/C][C]7.91677[/C][C]3.48323[/C][/ROW]
[ROW][C]100[/C][C]13.6[/C][C]16.0709[/C][C]-2.47086[/C][/ROW]
[ROW][C]101[/C][C]7.9[/C][C]5.76536[/C][C]2.13464[/C][/ROW]
[ROW][C]102[/C][C]10.7[/C][C]10.4606[/C][C]0.239421[/C][/ROW]
[ROW][C]103[/C][C]10.3[/C][C]11.3386[/C][C]-1.03858[/C][/ROW]
[ROW][C]104[/C][C]8.3[/C][C]9.5754[/C][C]-1.2754[/C][/ROW]
[ROW][C]105[/C][C]9.6[/C][C]5.18495[/C][C]4.41505[/C][/ROW]
[ROW][C]106[/C][C]14.2[/C][C]15.5402[/C][C]-1.34023[/C][/ROW]
[ROW][C]107[/C][C]8.5[/C][C]4.91937[/C][C]3.58063[/C][/ROW]
[ROW][C]108[/C][C]13.5[/C][C]18.3062[/C][C]-4.80618[/C][/ROW]
[ROW][C]109[/C][C]4.9[/C][C]6.54768[/C][C]-1.64768[/C][/ROW]
[ROW][C]110[/C][C]6.4[/C][C]7.61163[/C][C]-1.21163[/C][/ROW]
[ROW][C]111[/C][C]9.6[/C][C]8.65175[/C][C]0.948249[/C][/ROW]
[ROW][C]112[/C][C]11.6[/C][C]10.3592[/C][C]1.24085[/C][/ROW]
[ROW][C]113[/C][C]11.1[/C][C]17.1654[/C][C]-6.06545[/C][/ROW]
[ROW][C]114[/C][C]4.35[/C][C]3.74189[/C][C]0.608112[/C][/ROW]
[ROW][C]115[/C][C]12.7[/C][C]9.73413[/C][C]2.96587[/C][/ROW]
[ROW][C]116[/C][C]18.1[/C][C]15.5924[/C][C]2.50765[/C][/ROW]
[ROW][C]117[/C][C]17.85[/C][C]19.2817[/C][C]-1.43168[/C][/ROW]
[ROW][C]118[/C][C]16.6[/C][C]16.2563[/C][C]0.343694[/C][/ROW]
[ROW][C]119[/C][C]12.6[/C][C]13.9231[/C][C]-1.32305[/C][/ROW]
[ROW][C]120[/C][C]17.1[/C][C]15.3202[/C][C]1.77978[/C][/ROW]
[ROW][C]121[/C][C]19.1[/C][C]21.9389[/C][C]-2.83891[/C][/ROW]
[ROW][C]122[/C][C]16.1[/C][C]14.9135[/C][C]1.18649[/C][/ROW]
[ROW][C]123[/C][C]13.35[/C][C]11.6713[/C][C]1.67867[/C][/ROW]
[ROW][C]124[/C][C]18.4[/C][C]14.129[/C][C]4.27095[/C][/ROW]
[ROW][C]125[/C][C]14.7[/C][C]17.1796[/C][C]-2.47959[/C][/ROW]
[ROW][C]126[/C][C]10.6[/C][C]11.1595[/C][C]-0.559518[/C][/ROW]
[ROW][C]127[/C][C]12.6[/C][C]10.8097[/C][C]1.79034[/C][/ROW]
[ROW][C]128[/C][C]16.2[/C][C]16.371[/C][C]-0.170973[/C][/ROW]
[ROW][C]129[/C][C]13.6[/C][C]11.093[/C][C]2.50702[/C][/ROW]
[ROW][C]130[/C][C]18.9[/C][C]17.779[/C][C]1.12102[/C][/ROW]
[ROW][C]131[/C][C]14.1[/C][C]13.0315[/C][C]1.06854[/C][/ROW]
[ROW][C]132[/C][C]14.5[/C][C]15.8921[/C][C]-1.39211[/C][/ROW]
[ROW][C]133[/C][C]16.15[/C][C]14.8047[/C][C]1.34529[/C][/ROW]
[ROW][C]134[/C][C]14.75[/C][C]13.295[/C][C]1.45505[/C][/ROW]
[ROW][C]135[/C][C]14.8[/C][C]14.857[/C][C]-0.0569779[/C][/ROW]
[ROW][C]136[/C][C]12.45[/C][C]12.4812[/C][C]-0.0311979[/C][/ROW]
[ROW][C]137[/C][C]12.65[/C][C]9.17518[/C][C]3.47482[/C][/ROW]
[ROW][C]138[/C][C]17.35[/C][C]18.979[/C][C]-1.62899[/C][/ROW]
[ROW][C]139[/C][C]8.6[/C][C]6.96257[/C][C]1.63743[/C][/ROW]
[ROW][C]140[/C][C]18.4[/C][C]17.3557[/C][C]1.0443[/C][/ROW]
[ROW][C]141[/C][C]16.1[/C][C]17.8707[/C][C]-1.77074[/C][/ROW]
[ROW][C]142[/C][C]11.6[/C][C]8.83108[/C][C]2.76892[/C][/ROW]
[ROW][C]143[/C][C]17.75[/C][C]17.6845[/C][C]0.0654548[/C][/ROW]
[ROW][C]144[/C][C]15.25[/C][C]11.992[/C][C]3.25797[/C][/ROW]
[ROW][C]145[/C][C]17.65[/C][C]17.4143[/C][C]0.235691[/C][/ROW]
[ROW][C]146[/C][C]16.35[/C][C]15.5705[/C][C]0.779544[/C][/ROW]
[ROW][C]147[/C][C]17.65[/C][C]17.7601[/C][C]-0.110062[/C][/ROW]
[ROW][C]148[/C][C]13.6[/C][C]13.4848[/C][C]0.115157[/C][/ROW]
[ROW][C]149[/C][C]14.35[/C][C]14.3493[/C][C]0.000739324[/C][/ROW]
[ROW][C]150[/C][C]14.75[/C][C]12.7555[/C][C]1.99449[/C][/ROW]
[ROW][C]151[/C][C]18.25[/C][C]23.9524[/C][C]-5.70237[/C][/ROW]
[ROW][C]152[/C][C]9.9[/C][C]8.61633[/C][C]1.28367[/C][/ROW]
[ROW][C]153[/C][C]16[/C][C]13.3081[/C][C]2.69191[/C][/ROW]
[ROW][C]154[/C][C]18.25[/C][C]18.3374[/C][C]-0.0874409[/C][/ROW]
[ROW][C]155[/C][C]16.85[/C][C]14.9874[/C][C]1.86255[/C][/ROW]
[ROW][C]156[/C][C]14.6[/C][C]15.0517[/C][C]-0.451696[/C][/ROW]
[ROW][C]157[/C][C]13.85[/C][C]11.9947[/C][C]1.85533[/C][/ROW]
[ROW][C]158[/C][C]18.95[/C][C]17.8304[/C][C]1.11964[/C][/ROW]
[ROW][C]159[/C][C]15.6[/C][C]17.828[/C][C]-2.22803[/C][/ROW]
[ROW][C]160[/C][C]14.85[/C][C]17.0304[/C][C]-2.18038[/C][/ROW]
[ROW][C]161[/C][C]11.75[/C][C]10.4511[/C][C]1.29885[/C][/ROW]
[ROW][C]162[/C][C]18.45[/C][C]16.1614[/C][C]2.28864[/C][/ROW]
[ROW][C]163[/C][C]15.9[/C][C]16.1707[/C][C]-0.270706[/C][/ROW]
[ROW][C]164[/C][C]17.1[/C][C]9.97822[/C][C]7.12178[/C][/ROW]
[ROW][C]165[/C][C]16.1[/C][C]15.3901[/C][C]0.709926[/C][/ROW]
[ROW][C]166[/C][C]19.9[/C][C]20.8563[/C][C]-0.956311[/C][/ROW]
[ROW][C]167[/C][C]10.95[/C][C]9.25752[/C][C]1.69248[/C][/ROW]
[ROW][C]168[/C][C]18.45[/C][C]16.8043[/C][C]1.64574[/C][/ROW]
[ROW][C]169[/C][C]15.1[/C][C]15.01[/C][C]0.0900214[/C][/ROW]
[ROW][C]170[/C][C]15[/C][C]18.3892[/C][C]-3.38916[/C][/ROW]
[ROW][C]171[/C][C]11.35[/C][C]10.0185[/C][C]1.33145[/C][/ROW]
[ROW][C]172[/C][C]15.95[/C][C]13.5064[/C][C]2.44362[/C][/ROW]
[ROW][C]173[/C][C]18.1[/C][C]20.1174[/C][C]-2.0174[/C][/ROW]
[ROW][C]174[/C][C]14.6[/C][C]14.7869[/C][C]-0.186914[/C][/ROW]
[ROW][C]175[/C][C]15.4[/C][C]15.5613[/C][C]-0.161283[/C][/ROW]
[ROW][C]176[/C][C]15.4[/C][C]12.9742[/C][C]2.42585[/C][/ROW]
[ROW][C]177[/C][C]17.6[/C][C]19.0409[/C][C]-1.44092[/C][/ROW]
[ROW][C]178[/C][C]13.35[/C][C]10.3662[/C][C]2.9838[/C][/ROW]
[ROW][C]179[/C][C]19.1[/C][C]20.3006[/C][C]-1.2006[/C][/ROW]
[ROW][C]180[/C][C]15.35[/C][C]19.5269[/C][C]-4.17688[/C][/ROW]
[ROW][C]181[/C][C]7.6[/C][C]10.4405[/C][C]-2.84046[/C][/ROW]
[ROW][C]182[/C][C]13.4[/C][C]15.065[/C][C]-1.665[/C][/ROW]
[ROW][C]183[/C][C]13.9[/C][C]11.0682[/C][C]2.83177[/C][/ROW]
[ROW][C]184[/C][C]19.1[/C][C]19.0019[/C][C]0.0981288[/C][/ROW]
[ROW][C]185[/C][C]15.25[/C][C]17.8783[/C][C]-2.62835[/C][/ROW]
[ROW][C]186[/C][C]12.9[/C][C]12.9454[/C][C]-0.0453575[/C][/ROW]
[ROW][C]187[/C][C]16.1[/C][C]13.6911[/C][C]2.4089[/C][/ROW]
[ROW][C]188[/C][C]17.35[/C][C]19.5464[/C][C]-2.19636[/C][/ROW]
[ROW][C]189[/C][C]13.15[/C][C]15.3932[/C][C]-2.24321[/C][/ROW]
[ROW][C]190[/C][C]12.15[/C][C]11.8561[/C][C]0.293866[/C][/ROW]
[ROW][C]191[/C][C]12.6[/C][C]14.831[/C][C]-2.23097[/C][/ROW]
[ROW][C]192[/C][C]10.35[/C][C]9.45454[/C][C]0.895463[/C][/ROW]
[ROW][C]193[/C][C]15.4[/C][C]18.6324[/C][C]-3.23241[/C][/ROW]
[ROW][C]194[/C][C]9.6[/C][C]6.1565[/C][C]3.4435[/C][/ROW]
[ROW][C]195[/C][C]18.2[/C][C]18.9655[/C][C]-0.765453[/C][/ROW]
[ROW][C]196[/C][C]13.6[/C][C]12.9694[/C][C]0.630628[/C][/ROW]
[ROW][C]197[/C][C]14.85[/C][C]16.3259[/C][C]-1.47593[/C][/ROW]
[ROW][C]198[/C][C]14.75[/C][C]14.5586[/C][C]0.191352[/C][/ROW]
[ROW][C]199[/C][C]14.1[/C][C]12.564[/C][C]1.536[/C][/ROW]
[ROW][C]200[/C][C]14.9[/C][C]13.7959[/C][C]1.10409[/C][/ROW]
[ROW][C]201[/C][C]16.25[/C][C]16.2181[/C][C]0.0319253[/C][/ROW]
[ROW][C]202[/C][C]19.25[/C][C]18.2999[/C][C]0.95009[/C][/ROW]
[ROW][C]203[/C][C]13.6[/C][C]14.8596[/C][C]-1.25958[/C][/ROW]
[ROW][C]204[/C][C]13.6[/C][C]13.2404[/C][C]0.359617[/C][/ROW]
[ROW][C]205[/C][C]15.65[/C][C]16.6776[/C][C]-1.02763[/C][/ROW]
[ROW][C]206[/C][C]12.75[/C][C]11.359[/C][C]1.391[/C][/ROW]
[ROW][C]207[/C][C]14.6[/C][C]15.6935[/C][C]-1.0935[/C][/ROW]
[ROW][C]208[/C][C]9.85[/C][C]9.60618[/C][C]0.243823[/C][/ROW]
[ROW][C]209[/C][C]12.65[/C][C]9.8287[/C][C]2.8213[/C][/ROW]
[ROW][C]210[/C][C]19.2[/C][C]17.939[/C][C]1.26103[/C][/ROW]
[ROW][C]211[/C][C]16.6[/C][C]17.6791[/C][C]-1.07909[/C][/ROW]
[ROW][C]212[/C][C]11.2[/C][C]10.4154[/C][C]0.784597[/C][/ROW]
[ROW][C]213[/C][C]15.25[/C][C]17.4397[/C][C]-2.18967[/C][/ROW]
[ROW][C]214[/C][C]11.9[/C][C]12.9073[/C][C]-1.00732[/C][/ROW]
[ROW][C]215[/C][C]13.2[/C][C]14.0436[/C][C]-0.84363[/C][/ROW]
[ROW][C]216[/C][C]16.35[/C][C]17.3032[/C][C]-0.953178[/C][/ROW]
[ROW][C]217[/C][C]12.4[/C][C]10.934[/C][C]1.46597[/C][/ROW]
[ROW][C]218[/C][C]15.85[/C][C]13.486[/C][C]2.36401[/C][/ROW]
[ROW][C]219[/C][C]18.15[/C][C]19.629[/C][C]-1.479[/C][/ROW]
[ROW][C]220[/C][C]11.15[/C][C]11.8756[/C][C]-0.725621[/C][/ROW]
[ROW][C]221[/C][C]15.65[/C][C]12.8107[/C][C]2.83932[/C][/ROW]
[ROW][C]222[/C][C]17.75[/C][C]22.3045[/C][C]-4.55448[/C][/ROW]
[ROW][C]223[/C][C]7.65[/C][C]8.39725[/C][C]-0.747245[/C][/ROW]
[ROW][C]224[/C][C]12.35[/C][C]10.073[/C][C]2.277[/C][/ROW]
[ROW][C]225[/C][C]15.6[/C][C]12.9056[/C][C]2.69435[/C][/ROW]
[ROW][C]226[/C][C]19.3[/C][C]17.0749[/C][C]2.22507[/C][/ROW]
[ROW][C]227[/C][C]15.2[/C][C]12.7321[/C][C]2.46793[/C][/ROW]
[ROW][C]228[/C][C]17.1[/C][C]15.127[/C][C]1.97296[/C][/ROW]
[ROW][C]229[/C][C]15.6[/C][C]12.6179[/C][C]2.98206[/C][/ROW]
[ROW][C]230[/C][C]18.4[/C][C]15.1252[/C][C]3.27481[/C][/ROW]
[ROW][C]231[/C][C]19.05[/C][C]15.2616[/C][C]3.78836[/C][/ROW]
[ROW][C]232[/C][C]18.55[/C][C]16.2631[/C][C]2.28695[/C][/ROW]
[ROW][C]233[/C][C]19.1[/C][C]19.3885[/C][C]-0.288486[/C][/ROW]
[ROW][C]234[/C][C]13.1[/C][C]15.5813[/C][C]-2.48129[/C][/ROW]
[ROW][C]235[/C][C]12.85[/C][C]15.049[/C][C]-2.19898[/C][/ROW]
[ROW][C]236[/C][C]9.5[/C][C]15.8756[/C][C]-6.37563[/C][/ROW]
[ROW][C]237[/C][C]4.5[/C][C]4.86633[/C][C]-0.366331[/C][/ROW]
[ROW][C]238[/C][C]11.85[/C][C]13.1117[/C][C]-1.26169[/C][/ROW]
[ROW][C]239[/C][C]13.6[/C][C]14.0399[/C][C]-0.439939[/C][/ROW]
[ROW][C]240[/C][C]11.7[/C][C]12.2928[/C][C]-0.592813[/C][/ROW]
[ROW][C]241[/C][C]12.4[/C][C]13.8408[/C][C]-1.44081[/C][/ROW]
[ROW][C]242[/C][C]13.35[/C][C]15.2371[/C][C]-1.88712[/C][/ROW]
[ROW][C]243[/C][C]11.4[/C][C]10.6427[/C][C]0.757348[/C][/ROW]
[ROW][C]244[/C][C]14.9[/C][C]14.0958[/C][C]0.804209[/C][/ROW]
[ROW][C]245[/C][C]19.9[/C][C]22.8889[/C][C]-2.98889[/C][/ROW]
[ROW][C]246[/C][C]11.2[/C][C]11.689[/C][C]-0.489011[/C][/ROW]
[ROW][C]247[/C][C]14.6[/C][C]14.1066[/C][C]0.49344[/C][/ROW]
[ROW][C]248[/C][C]17.6[/C][C]17.6189[/C][C]-0.018943[/C][/ROW]
[ROW][C]249[/C][C]14.05[/C][C]13.5598[/C][C]0.490236[/C][/ROW]
[ROW][C]250[/C][C]16.1[/C][C]16.4757[/C][C]-0.375707[/C][/ROW]
[ROW][C]251[/C][C]13.35[/C][C]15.7221[/C][C]-2.37215[/C][/ROW]
[ROW][C]252[/C][C]11.85[/C][C]13.7742[/C][C]-1.9242[/C][/ROW]
[ROW][C]253[/C][C]11.95[/C][C]11.9088[/C][C]0.0412398[/C][/ROW]
[ROW][C]254[/C][C]14.75[/C][C]14.3852[/C][C]0.364841[/C][/ROW]
[ROW][C]255[/C][C]15.15[/C][C]18.0211[/C][C]-2.87109[/C][/ROW]
[ROW][C]256[/C][C]13.2[/C][C]12.3811[/C][C]0.81886[/C][/ROW]
[ROW][C]257[/C][C]16.85[/C][C]21.4916[/C][C]-4.64155[/C][/ROW]
[ROW][C]258[/C][C]7.85[/C][C]13.2616[/C][C]-5.41164[/C][/ROW]
[ROW][C]259[/C][C]7.7[/C][C]10.7706[/C][C]-3.07057[/C][/ROW]
[ROW][C]260[/C][C]12.6[/C][C]19.1917[/C][C]-6.59166[/C][/ROW]
[ROW][C]261[/C][C]7.85[/C][C]9.00724[/C][C]-1.15724[/C][/ROW]
[ROW][C]262[/C][C]10.95[/C][C]13.181[/C][C]-2.23098[/C][/ROW]
[ROW][C]263[/C][C]12.35[/C][C]16.1067[/C][C]-3.75669[/C][/ROW]
[ROW][C]264[/C][C]9.95[/C][C]9.15031[/C][C]0.799688[/C][/ROW]
[ROW][C]265[/C][C]14.9[/C][C]13.088[/C][C]1.81202[/C][/ROW]
[ROW][C]266[/C][C]16.65[/C][C]16.3848[/C][C]0.265224[/C][/ROW]
[ROW][C]267[/C][C]13.4[/C][C]13.469[/C][C]-0.068996[/C][/ROW]
[ROW][C]268[/C][C]13.95[/C][C]12.5036[/C][C]1.44638[/C][/ROW]
[ROW][C]269[/C][C]15.7[/C][C]13.8549[/C][C]1.84512[/C][/ROW]
[ROW][C]270[/C][C]16.85[/C][C]18.2029[/C][C]-1.35288[/C][/ROW]
[ROW][C]271[/C][C]10.95[/C][C]9.6029[/C][C]1.3471[/C][/ROW]
[ROW][C]272[/C][C]15.35[/C][C]15.0588[/C][C]0.291247[/C][/ROW]
[ROW][C]273[/C][C]12.2[/C][C]11.2433[/C][C]0.956701[/C][/ROW]
[ROW][C]274[/C][C]15.1[/C][C]13.5183[/C][C]1.58173[/C][/ROW]
[ROW][C]275[/C][C]17.75[/C][C]17.2318[/C][C]0.518184[/C][/ROW]
[ROW][C]276[/C][C]15.2[/C][C]15.0655[/C][C]0.134498[/C][/ROW]
[ROW][C]277[/C][C]14.6[/C][C]13.9316[/C][C]0.668362[/C][/ROW]
[ROW][C]278[/C][C]16.65[/C][C]19.6024[/C][C]-2.95243[/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=268888&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268888&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	13.0171	-0.117112
2	12.2	10.7778	1.42219
3	12.8	11.3817	1.41826
4	7.4	11.6667	-4.26669
5	6.7	10.1565	-3.45651
6	12.6	13.6197	-1.01968
7	14.8	11.803	2.99702
8	13.3	10.8424	2.45764
9	11.1	11.8355	-0.735457
10	8.2	11.4421	-3.24215
11	11.4	11.8017	-0.401658
12	6.4	11.3017	-4.90171
13	10.6	9.29999	1.30001
14	12	13.5207	-1.52066
15	6.3	6.51034	-0.210336
16	11.3	9.5014	1.7986
17	11.9	12.4636	-0.563581
18	9.3	10.099	-0.79896
19	9.6	11.3306	-1.73062
20	10	10.0154	-0.0154464
21	6.4	9.88878	-3.48878
22	13.8	10.2695	3.53051
23	10.8	13.7115	-2.91147
24	13.8	13.5909	0.209076
25	11.7	10.8184	0.881589
26	10.9	14.9386	-4.03856
27	16.1	13.1409	2.95909
28	13.4	10.3769	3.02311
29	9.9	11.6181	-1.71813
30	11.5	11.129	0.370962
31	8.3	9.27354	-0.973537
32	11.7	11.3599	0.340109
33	9	10.0807	-1.08066
34	9.7	11.855	-2.15503
35	10.8	9.26021	1.53979
36	10.3	8.50568	1.79432
37	10.4	10.7851	-0.38513
38	12.7	10.1702	2.52978
39	9.3	11.86	-2.56002
40	11.8	12.0814	-0.281439
41	5.9	9.64542	-3.74542
42	11.4	10.9726	0.427441
43	13	11.1342	1.86578
44	10.8	11.7357	-0.935718
45	12.3	8.28797	4.01203
46	11.3	12.9454	-1.6454
47	11.8	9.69079	2.10921
48	7.9	9.65461	-1.75461
49	12.7	9.92883	2.77117
50	12.3	8.80004	3.49996
51	11.6	10.5491	1.05093
52	6.7	7.00076	-0.300759
53	10.9	10.4386	0.461355
54	12.1	11.2111	0.888949
55	13.3	9.81192	3.48808
56	10.1	9.75872	0.341279
57	5.7	10.5299	-4.82992
58	14.3	10.5888	3.71123
59	8	7.43611	0.563889
60	13.3	10.493	2.80697
61	9.3	12.7128	-3.41284
62	12.5	11.2348	1.2652
63	7.6	9.5808	-1.9808
64	15.9	13.5957	2.30431
65	9.2	12.3334	-3.13338
66	9.1	8.77149	0.328507
67	11.1	13.2816	-2.18163
68	13	15.1502	-2.15018
69	14.5	11.7133	2.78674
70	12.2	10.7087	1.49125
71	12.3	13.0379	-0.737938
72	11.4	10.2173	1.18271
73	8.8	9.93394	-1.13394
74	14.6	11.2729	3.32714
75	12.6	11.0563	1.54374
76	NA	NA	0.846316
77	13	11.0346	1.96537
78	12.6	11.617	0.982985
79	13.2	12.0864	1.1136
80	9.9	11.9869	-2.08689
81	7.7	7.60524	0.0947617
82	10.5	7.43501	3.06499
83	13.4	12.8692	0.530785
84	10.9	15.9144	-5.01436
85	4.3	5.05107	-0.751069
86	10.3	9.55301	0.746987
87	11.8	9.39194	2.40806
88	11.2	8.54349	2.65651
89	11.4	12.9874	-1.58744
90	8.6	7.14323	1.45677
91	13.2	9.13324	4.06676
92	12.6	17.2434	-4.64341
93	5.6	7.66834	-2.06834
94	9.9	11.0817	-1.1817
95	8.8	10.6198	-1.81985
96	7.7	9.12738	-1.42738
97	9	12.7272	-3.72716
98	7.3	5.46187	1.83813
99	11.4	7.91677	3.48323
100	13.6	16.0709	-2.47086
101	7.9	5.76536	2.13464
102	10.7	10.4606	0.239421
103	10.3	11.3386	-1.03858
104	8.3	9.5754	-1.2754
105	9.6	5.18495	4.41505
106	14.2	15.5402	-1.34023
107	8.5	4.91937	3.58063
108	13.5	18.3062	-4.80618
109	4.9	6.54768	-1.64768
110	6.4	7.61163	-1.21163
111	9.6	8.65175	0.948249
112	11.6	10.3592	1.24085
113	11.1	17.1654	-6.06545
114	4.35	3.74189	0.608112
115	12.7	9.73413	2.96587
116	18.1	15.5924	2.50765
117	17.85	19.2817	-1.43168
118	16.6	16.2563	0.343694
119	12.6	13.9231	-1.32305
120	17.1	15.3202	1.77978
121	19.1	21.9389	-2.83891
122	16.1	14.9135	1.18649
123	13.35	11.6713	1.67867
124	18.4	14.129	4.27095
125	14.7	17.1796	-2.47959
126	10.6	11.1595	-0.559518
127	12.6	10.8097	1.79034
128	16.2	16.371	-0.170973
129	13.6	11.093	2.50702
130	18.9	17.779	1.12102
131	14.1	13.0315	1.06854
132	14.5	15.8921	-1.39211
133	16.15	14.8047	1.34529
134	14.75	13.295	1.45505
135	14.8	14.857	-0.0569779
136	12.45	12.4812	-0.0311979
137	12.65	9.17518	3.47482
138	17.35	18.979	-1.62899
139	8.6	6.96257	1.63743
140	18.4	17.3557	1.0443
141	16.1	17.8707	-1.77074
142	11.6	8.83108	2.76892
143	17.75	17.6845	0.0654548
144	15.25	11.992	3.25797
145	17.65	17.4143	0.235691
146	16.35	15.5705	0.779544
147	17.65	17.7601	-0.110062
148	13.6	13.4848	0.115157
149	14.35	14.3493	0.000739324
150	14.75	12.7555	1.99449
151	18.25	23.9524	-5.70237
152	9.9	8.61633	1.28367
153	16	13.3081	2.69191
154	18.25	18.3374	-0.0874409
155	16.85	14.9874	1.86255
156	14.6	15.0517	-0.451696
157	13.85	11.9947	1.85533
158	18.95	17.8304	1.11964
159	15.6	17.828	-2.22803
160	14.85	17.0304	-2.18038
161	11.75	10.4511	1.29885
162	18.45	16.1614	2.28864
163	15.9	16.1707	-0.270706
164	17.1	9.97822	7.12178
165	16.1	15.3901	0.709926
166	19.9	20.8563	-0.956311
167	10.95	9.25752	1.69248
168	18.45	16.8043	1.64574
169	15.1	15.01	0.0900214
170	15	18.3892	-3.38916
171	11.35	10.0185	1.33145
172	15.95	13.5064	2.44362
173	18.1	20.1174	-2.0174
174	14.6	14.7869	-0.186914
175	15.4	15.5613	-0.161283
176	15.4	12.9742	2.42585
177	17.6	19.0409	-1.44092
178	13.35	10.3662	2.9838
179	19.1	20.3006	-1.2006
180	15.35	19.5269	-4.17688
181	7.6	10.4405	-2.84046
182	13.4	15.065	-1.665
183	13.9	11.0682	2.83177
184	19.1	19.0019	0.0981288
185	15.25	17.8783	-2.62835
186	12.9	12.9454	-0.0453575
187	16.1	13.6911	2.4089
188	17.35	19.5464	-2.19636
189	13.15	15.3932	-2.24321
190	12.15	11.8561	0.293866
191	12.6	14.831	-2.23097
192	10.35	9.45454	0.895463
193	15.4	18.6324	-3.23241
194	9.6	6.1565	3.4435
195	18.2	18.9655	-0.765453
196	13.6	12.9694	0.630628
197	14.85	16.3259	-1.47593
198	14.75	14.5586	0.191352
199	14.1	12.564	1.536
200	14.9	13.7959	1.10409
201	16.25	16.2181	0.0319253
202	19.25	18.2999	0.95009
203	13.6	14.8596	-1.25958
204	13.6	13.2404	0.359617
205	15.65	16.6776	-1.02763
206	12.75	11.359	1.391
207	14.6	15.6935	-1.0935
208	9.85	9.60618	0.243823
209	12.65	9.8287	2.8213
210	19.2	17.939	1.26103
211	16.6	17.6791	-1.07909
212	11.2	10.4154	0.784597
213	15.25	17.4397	-2.18967
214	11.9	12.9073	-1.00732
215	13.2	14.0436	-0.84363
216	16.35	17.3032	-0.953178
217	12.4	10.934	1.46597
218	15.85	13.486	2.36401
219	18.15	19.629	-1.479
220	11.15	11.8756	-0.725621
221	15.65	12.8107	2.83932
222	17.75	22.3045	-4.55448
223	7.65	8.39725	-0.747245
224	12.35	10.073	2.277
225	15.6	12.9056	2.69435
226	19.3	17.0749	2.22507
227	15.2	12.7321	2.46793
228	17.1	15.127	1.97296
229	15.6	12.6179	2.98206
230	18.4	15.1252	3.27481
231	19.05	15.2616	3.78836
232	18.55	16.2631	2.28695
233	19.1	19.3885	-0.288486
234	13.1	15.5813	-2.48129
235	12.85	15.049	-2.19898
236	9.5	15.8756	-6.37563
237	4.5	4.86633	-0.366331
238	11.85	13.1117	-1.26169
239	13.6	14.0399	-0.439939
240	11.7	12.2928	-0.592813
241	12.4	13.8408	-1.44081
242	13.35	15.2371	-1.88712
243	11.4	10.6427	0.757348
244	14.9	14.0958	0.804209
245	19.9	22.8889	-2.98889
246	11.2	11.689	-0.489011
247	14.6	14.1066	0.49344
248	17.6	17.6189	-0.018943
249	14.05	13.5598	0.490236
250	16.1	16.4757	-0.375707
251	13.35	15.7221	-2.37215
252	11.85	13.7742	-1.9242
253	11.95	11.9088	0.0412398
254	14.75	14.3852	0.364841
255	15.15	18.0211	-2.87109
256	13.2	12.3811	0.81886
257	16.85	21.4916	-4.64155
258	7.85	13.2616	-5.41164
259	7.7	10.7706	-3.07057
260	12.6	19.1917	-6.59166
261	7.85	9.00724	-1.15724
262	10.95	13.181	-2.23098
263	12.35	16.1067	-3.75669
264	9.95	9.15031	0.799688
265	14.9	13.088	1.81202
266	16.65	16.3848	0.265224
267	13.4	13.469	-0.068996
268	13.95	12.5036	1.44638
269	15.7	13.8549	1.84512
270	16.85	18.2029	-1.35288
271	10.95	9.6029	1.3471
272	15.35	15.0588	0.291247
273	12.2	11.2433	0.956701
274	15.1	13.5183	1.58173
275	17.75	17.2318	0.518184
276	15.2	15.0655	0.134498
277	14.6	13.9316	0.668362
278	16.65	19.6024	-2.95243
279	8.1	NA	NA

Goldfeld-Quandt test for Heteroskedasticity
p-values	Alternative Hypothesis
breakpoint index	greater	2-sided	less
14	0.861391	0.277218	0.138609
15	0.760214	0.479573	0.239786
16	0.642083	0.715834	0.357917
17	0.530637	0.938727	0.469363
18	0.413719	0.827439	0.586281
19	0.652771	0.694458	0.347229
20	0.55966	0.88068	0.44034
21	0.475236	0.950472	0.524764
22	0.703911	0.592178	0.296089
23	0.714803	0.570393	0.285197
24	0.641351	0.717298	0.358649
25	0.572895	0.85421	0.427105
26	0.51762	0.964759	0.48238
27	0.448657	0.897315	0.551343
28	0.434062	0.868125	0.565938
29	0.391102	0.782204	0.608898
30	0.334779	0.669558	0.665221
31	0.323319	0.646637	0.676681
32	0.284838	0.569676	0.715162
33	0.262402	0.524804	0.737598
34	0.224484	0.448968	0.775516
35	0.199338	0.398675	0.800662
36	0.172544	0.345087	0.827456
37	0.135884	0.271767	0.864116
38	0.183203	0.366406	0.816797
39	0.166336	0.332671	0.833664
40	0.172452	0.344904	0.827548
41	0.247686	0.495372	0.752314
42	0.210033	0.420066	0.789967
43	0.202754	0.405508	0.797246
44	0.180842	0.361684	0.819158
45	0.169755	0.33951	0.830245
46	0.152067	0.304134	0.847933
47	0.17663	0.35326	0.82337
48	0.226184	0.452369	0.773816
49	0.230603	0.461206	0.769397
50	0.214748	0.429496	0.785252
51	0.185617	0.371233	0.814383
52	0.206841	0.413681	0.793159
53	0.185887	0.371774	0.814113
54	0.159316	0.318632	0.840684
55	0.267462	0.534924	0.732538
56	0.229937	0.459875	0.770063
57	0.501026	0.997948	0.498974
58	0.587809	0.824383	0.412191
59	0.553308	0.893385	0.446692
60	0.529792	0.940416	0.470208
61	0.581487	0.837026	0.418513
62	0.556915	0.886171	0.443085
63	0.58647	0.82706	0.41353
64	0.631231	0.737537	0.368769
65	0.630607	0.738787	0.369393
66	0.609522	0.780956	0.390478
67	0.59176	0.816481	0.40824
68	0.573096	0.853808	0.426904
69	0.620624	0.758753	0.379376
70	0.586811	0.826378	0.413189
71	0.550709	0.898583	0.449291
72	0.519522	0.960957	0.480478
73	0.503999	0.992002	0.496001
74	0.518539	0.962921	0.481461
75	0.491207	0.982415	0.508793
76	0.465079	0.930158	0.534921
77	0.436428	0.872857	0.563572
78	0.41967	0.83934	0.58033
79	0.385606	0.771211	0.614394
80	0.395593	0.791186	0.604407
81	0.363191	0.726382	0.636809
82	0.37548	0.750961	0.62452
83	0.342871	0.685742	0.657129
84	0.552783	0.894435	0.447217
85	0.519086	0.961828	0.480914
86	0.481268	0.962536	0.518732
87	0.470515	0.941031	0.529485
88	0.462995	0.92599	0.537005
89	0.466572	0.933145	0.533428
90	0.437891	0.875783	0.562109
91	0.493521	0.987042	0.506479
92	0.652314	0.695371	0.347686
93	0.647649	0.704701	0.352351
94	0.631702	0.736597	0.368298
95	0.630026	0.739948	0.369974
96	0.608878	0.782244	0.391122
97	0.674519	0.650963	0.325481
98	0.65441	0.691181	0.34559
99	0.679338	0.641324	0.320662
100	0.698459	0.603081	0.301541
101	0.68395	0.632101	0.31605
102	0.650416	0.699167	0.349584
103	0.640353	0.719293	0.359647
104	0.619816	0.760369	0.380184
105	0.697257	0.605487	0.302743
106	0.676931	0.646138	0.323069
107	0.724396	0.551208	0.275604
108	0.82454	0.35092	0.17546
109	0.825016	0.349969	0.174984
110	0.815466	0.369069	0.184534
111	0.79794	0.40412	0.20206
112	0.771833	0.456335	0.228167
113	0.820981	0.358038	0.179019
114	0.844441	0.311119	0.155559
115	0.902564	0.194872	0.0974358
116	0.911941	0.176118	0.0880592
117	0.902648	0.194704	0.0973519
118	0.887489	0.225022	0.112511
119	0.875633	0.248735	0.124367
120	0.871604	0.256792	0.128396
121	0.88587	0.22826	0.11413
122	0.87782	0.24436	0.12218
123	0.871519	0.256963	0.128481
124	0.914097	0.171807	0.0859035
125	0.918308	0.163383	0.0816916
126	0.904891	0.190217	0.0951086
127	0.898918	0.202165	0.101082
128	0.882702	0.234596	0.117298
129	0.88261	0.23478	0.11739
130	0.868267	0.263466	0.131733
131	0.852213	0.295573	0.147787
132	0.84446	0.311079	0.15554
133	0.828228	0.343544	0.171772
134	0.811662	0.376677	0.188338
135	0.794812	0.410376	0.205188
136	0.769065	0.461871	0.230935
137	0.800465	0.39907	0.199535
138	0.793349	0.413301	0.206651
139	0.776137	0.447725	0.223863
140	0.754509	0.490982	0.245491
141	0.756784	0.486433	0.243216
142	0.769537	0.460926	0.230463
143	0.743091	0.513817	0.256909
144	0.768679	0.462642	0.231321
145	0.740797	0.518406	0.259203
146	0.714384	0.571231	0.285616
147	0.685607	0.628787	0.314393
148	0.653412	0.693176	0.346588
149	0.620848	0.758304	0.379152
150	0.609419	0.781162	0.390581
151	0.816164	0.367672	0.183836
152	0.796399	0.407202	0.203601
153	0.80134	0.397319	0.19866
154	0.775572	0.448856	0.224428
155	0.766801	0.466398	0.233199
156	0.742551	0.514898	0.257449
157	0.724498	0.551005	0.275502
158	0.701509	0.596983	0.298491
159	0.715441	0.569117	0.284559
160	0.711945	0.576109	0.288055
161	0.68815	0.6237	0.31185
162	0.683112	0.633776	0.316888
163	0.655334	0.689333	0.344666
164	0.937347	0.125306	0.0626529
165	0.926212	0.147575	0.0737877
166	0.920703	0.158593	0.0792967
167	0.910871	0.178257	0.0891286
168	0.911147	0.177706	0.0888531
169	0.895643	0.208713	0.104357
170	0.922439	0.155123	0.0775614
171	0.912891	0.174218	0.0871091
172	0.910011	0.179978	0.0899888
173	0.914299	0.171402	0.0857011
174	0.899372	0.201256	0.100628
175	0.882529	0.234943	0.117471
176	0.886135	0.227731	0.113865
177	0.87362	0.252759	0.12638
178	0.88641	0.227179	0.11359
179	0.879046	0.241908	0.120954
180	0.903242	0.193515	0.0967577
181	0.919702	0.160596	0.0802982
182	0.921013	0.157973	0.0789867
183	0.92934	0.141321	0.0706604
184	0.916597	0.166806	0.0834028
185	0.933644	0.132711	0.0663557
186	0.92081	0.158379	0.0791896
187	0.923181	0.153639	0.0768193
188	0.931352	0.137295	0.0686475
189	0.937334	0.125332	0.0626658
190	0.926446	0.147107	0.0735537
191	0.921887	0.156226	0.0781129
192	0.907409	0.185182	0.0925912
193	0.917023	0.165954	0.0829772
194	0.924036	0.151928	0.0759638
195	0.909566	0.180869	0.0904344
196	0.899688	0.200623	0.100312
197	0.899572	0.200857	0.100428
198	0.881256	0.237489	0.118744
199	0.870177	0.259646	0.129823
200	0.849097	0.301806	0.150903
201	0.851224	0.297552	0.148776
202	0.831873	0.336254	0.168127
203	0.82985	0.3403	0.17015
204	0.803351	0.393298	0.196649
205	0.783929	0.432142	0.216071
206	0.798756	0.402488	0.201244
207	0.797505	0.404991	0.202495
208	0.780296	0.439408	0.219704
209	0.765004	0.469991	0.234996
210	0.769352	0.461296	0.230648
211	0.751485	0.497029	0.248515
212	0.716499	0.567002	0.283501
213	0.72589	0.54822	0.27411
214	0.709732	0.580537	0.290268
215	0.680613	0.638775	0.319387
216	0.643683	0.712634	0.356317
217	0.64527	0.70946	0.35473
218	0.624256	0.751488	0.375744
219	0.589777	0.820446	0.410223
220	0.551289	0.897421	0.448711
221	0.56068	0.878639	0.43932
222	0.643415	0.71317	0.356585
223	0.601388	0.797224	0.398612
224	0.706581	0.586839	0.293419
225	0.697632	0.604736	0.302368
226	0.755974	0.488053	0.244026
227	0.770742	0.458517	0.229258
228	0.815157	0.369687	0.184843
229	0.879744	0.240512	0.120256
230	0.916891	0.166219	0.0831094
231	0.921255	0.15749	0.078745
232	0.913985	0.172031	0.0860155
233	0.900664	0.198671	0.0993355
234	0.881031	0.237938	0.118969
235	0.857286	0.285429	0.142714
236	0.937683	0.124633	0.0623167
237	0.929672	0.140657	0.0703284
238	0.909468	0.181065	0.0905324
239	0.893059	0.213882	0.106941
240	0.862964	0.274073	0.137036
241	0.844623	0.310754	0.155377
242	0.810683	0.378633	0.189317
243	0.786047	0.427907	0.213953
244	0.739585	0.52083	0.260415
245	0.695852	0.608296	0.304148
246	0.645377	0.709247	0.354623
247	0.61782	0.764361	0.38218
248	0.802834	0.394332	0.197166
249	0.752159	0.495682	0.247841
250	0.715583	0.568833	0.284417
251	0.738882	0.522236	0.261118
252	0.682127	0.635746	0.317873
253	0.700514	0.598972	0.299486
254	0.694009	0.611982	0.305991
255	0.800005	0.399989	0.199995
256	0.883023	0.233954	0.116977
257	0.863858	0.272284	0.136142
258	0.834398	0.331203	0.165602
259	0.761324	0.477352	0.238676
260	0.950531	0.0989372	0.0494686
261	0.933373	0.133255	0.0666273
262	0.908916	0.182169	0.0910843
263	0.979983	0.0400342	0.0200171
264	0.935152	0.129697	0.0648483
265	0.841503	0.316994	0.158497

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
14 & 0.861391 & 0.277218 & 0.138609 \tabularnewline
15 & 0.760214 & 0.479573 & 0.239786 \tabularnewline
16 & 0.642083 & 0.715834 & 0.357917 \tabularnewline
17 & 0.530637 & 0.938727 & 0.469363 \tabularnewline
18 & 0.413719 & 0.827439 & 0.586281 \tabularnewline
19 & 0.652771 & 0.694458 & 0.347229 \tabularnewline
20 & 0.55966 & 0.88068 & 0.44034 \tabularnewline
21 & 0.475236 & 0.950472 & 0.524764 \tabularnewline
22 & 0.703911 & 0.592178 & 0.296089 \tabularnewline
23 & 0.714803 & 0.570393 & 0.285197 \tabularnewline
24 & 0.641351 & 0.717298 & 0.358649 \tabularnewline
25 & 0.572895 & 0.85421 & 0.427105 \tabularnewline
26 & 0.51762 & 0.964759 & 0.48238 \tabularnewline
27 & 0.448657 & 0.897315 & 0.551343 \tabularnewline
28 & 0.434062 & 0.868125 & 0.565938 \tabularnewline
29 & 0.391102 & 0.782204 & 0.608898 \tabularnewline
30 & 0.334779 & 0.669558 & 0.665221 \tabularnewline
31 & 0.323319 & 0.646637 & 0.676681 \tabularnewline
32 & 0.284838 & 0.569676 & 0.715162 \tabularnewline
33 & 0.262402 & 0.524804 & 0.737598 \tabularnewline
34 & 0.224484 & 0.448968 & 0.775516 \tabularnewline
35 & 0.199338 & 0.398675 & 0.800662 \tabularnewline
36 & 0.172544 & 0.345087 & 0.827456 \tabularnewline
37 & 0.135884 & 0.271767 & 0.864116 \tabularnewline
38 & 0.183203 & 0.366406 & 0.816797 \tabularnewline
39 & 0.166336 & 0.332671 & 0.833664 \tabularnewline
40 & 0.172452 & 0.344904 & 0.827548 \tabularnewline
41 & 0.247686 & 0.495372 & 0.752314 \tabularnewline
42 & 0.210033 & 0.420066 & 0.789967 \tabularnewline
43 & 0.202754 & 0.405508 & 0.797246 \tabularnewline
44 & 0.180842 & 0.361684 & 0.819158 \tabularnewline
45 & 0.169755 & 0.33951 & 0.830245 \tabularnewline
46 & 0.152067 & 0.304134 & 0.847933 \tabularnewline
47 & 0.17663 & 0.35326 & 0.82337 \tabularnewline
48 & 0.226184 & 0.452369 & 0.773816 \tabularnewline
49 & 0.230603 & 0.461206 & 0.769397 \tabularnewline
50 & 0.214748 & 0.429496 & 0.785252 \tabularnewline
51 & 0.185617 & 0.371233 & 0.814383 \tabularnewline
52 & 0.206841 & 0.413681 & 0.793159 \tabularnewline
53 & 0.185887 & 0.371774 & 0.814113 \tabularnewline
54 & 0.159316 & 0.318632 & 0.840684 \tabularnewline
55 & 0.267462 & 0.534924 & 0.732538 \tabularnewline
56 & 0.229937 & 0.459875 & 0.770063 \tabularnewline
57 & 0.501026 & 0.997948 & 0.498974 \tabularnewline
58 & 0.587809 & 0.824383 & 0.412191 \tabularnewline
59 & 0.553308 & 0.893385 & 0.446692 \tabularnewline
60 & 0.529792 & 0.940416 & 0.470208 \tabularnewline
61 & 0.581487 & 0.837026 & 0.418513 \tabularnewline
62 & 0.556915 & 0.886171 & 0.443085 \tabularnewline
63 & 0.58647 & 0.82706 & 0.41353 \tabularnewline
64 & 0.631231 & 0.737537 & 0.368769 \tabularnewline
65 & 0.630607 & 0.738787 & 0.369393 \tabularnewline
66 & 0.609522 & 0.780956 & 0.390478 \tabularnewline
67 & 0.59176 & 0.816481 & 0.40824 \tabularnewline
68 & 0.573096 & 0.853808 & 0.426904 \tabularnewline
69 & 0.620624 & 0.758753 & 0.379376 \tabularnewline
70 & 0.586811 & 0.826378 & 0.413189 \tabularnewline
71 & 0.550709 & 0.898583 & 0.449291 \tabularnewline
72 & 0.519522 & 0.960957 & 0.480478 \tabularnewline
73 & 0.503999 & 0.992002 & 0.496001 \tabularnewline
74 & 0.518539 & 0.962921 & 0.481461 \tabularnewline
75 & 0.491207 & 0.982415 & 0.508793 \tabularnewline
76 & 0.465079 & 0.930158 & 0.534921 \tabularnewline
77 & 0.436428 & 0.872857 & 0.563572 \tabularnewline
78 & 0.41967 & 0.83934 & 0.58033 \tabularnewline
79 & 0.385606 & 0.771211 & 0.614394 \tabularnewline
80 & 0.395593 & 0.791186 & 0.604407 \tabularnewline
81 & 0.363191 & 0.726382 & 0.636809 \tabularnewline
82 & 0.37548 & 0.750961 & 0.62452 \tabularnewline
83 & 0.342871 & 0.685742 & 0.657129 \tabularnewline
84 & 0.552783 & 0.894435 & 0.447217 \tabularnewline
85 & 0.519086 & 0.961828 & 0.480914 \tabularnewline
86 & 0.481268 & 0.962536 & 0.518732 \tabularnewline
87 & 0.470515 & 0.941031 & 0.529485 \tabularnewline
88 & 0.462995 & 0.92599 & 0.537005 \tabularnewline
89 & 0.466572 & 0.933145 & 0.533428 \tabularnewline
90 & 0.437891 & 0.875783 & 0.562109 \tabularnewline
91 & 0.493521 & 0.987042 & 0.506479 \tabularnewline
92 & 0.652314 & 0.695371 & 0.347686 \tabularnewline
93 & 0.647649 & 0.704701 & 0.352351 \tabularnewline
94 & 0.631702 & 0.736597 & 0.368298 \tabularnewline
95 & 0.630026 & 0.739948 & 0.369974 \tabularnewline
96 & 0.608878 & 0.782244 & 0.391122 \tabularnewline
97 & 0.674519 & 0.650963 & 0.325481 \tabularnewline
98 & 0.65441 & 0.691181 & 0.34559 \tabularnewline
99 & 0.679338 & 0.641324 & 0.320662 \tabularnewline
100 & 0.698459 & 0.603081 & 0.301541 \tabularnewline
101 & 0.68395 & 0.632101 & 0.31605 \tabularnewline
102 & 0.650416 & 0.699167 & 0.349584 \tabularnewline
103 & 0.640353 & 0.719293 & 0.359647 \tabularnewline
104 & 0.619816 & 0.760369 & 0.380184 \tabularnewline
105 & 0.697257 & 0.605487 & 0.302743 \tabularnewline
106 & 0.676931 & 0.646138 & 0.323069 \tabularnewline
107 & 0.724396 & 0.551208 & 0.275604 \tabularnewline
108 & 0.82454 & 0.35092 & 0.17546 \tabularnewline
109 & 0.825016 & 0.349969 & 0.174984 \tabularnewline
110 & 0.815466 & 0.369069 & 0.184534 \tabularnewline
111 & 0.79794 & 0.40412 & 0.20206 \tabularnewline
112 & 0.771833 & 0.456335 & 0.228167 \tabularnewline
113 & 0.820981 & 0.358038 & 0.179019 \tabularnewline
114 & 0.844441 & 0.311119 & 0.155559 \tabularnewline
115 & 0.902564 & 0.194872 & 0.0974358 \tabularnewline
116 & 0.911941 & 0.176118 & 0.0880592 \tabularnewline
117 & 0.902648 & 0.194704 & 0.0973519 \tabularnewline
118 & 0.887489 & 0.225022 & 0.112511 \tabularnewline
119 & 0.875633 & 0.248735 & 0.124367 \tabularnewline
120 & 0.871604 & 0.256792 & 0.128396 \tabularnewline
121 & 0.88587 & 0.22826 & 0.11413 \tabularnewline
122 & 0.87782 & 0.24436 & 0.12218 \tabularnewline
123 & 0.871519 & 0.256963 & 0.128481 \tabularnewline
124 & 0.914097 & 0.171807 & 0.0859035 \tabularnewline
125 & 0.918308 & 0.163383 & 0.0816916 \tabularnewline
126 & 0.904891 & 0.190217 & 0.0951086 \tabularnewline
127 & 0.898918 & 0.202165 & 0.101082 \tabularnewline
128 & 0.882702 & 0.234596 & 0.117298 \tabularnewline
129 & 0.88261 & 0.23478 & 0.11739 \tabularnewline
130 & 0.868267 & 0.263466 & 0.131733 \tabularnewline
131 & 0.852213 & 0.295573 & 0.147787 \tabularnewline
132 & 0.84446 & 0.311079 & 0.15554 \tabularnewline
133 & 0.828228 & 0.343544 & 0.171772 \tabularnewline
134 & 0.811662 & 0.376677 & 0.188338 \tabularnewline
135 & 0.794812 & 0.410376 & 0.205188 \tabularnewline
136 & 0.769065 & 0.461871 & 0.230935 \tabularnewline
137 & 0.800465 & 0.39907 & 0.199535 \tabularnewline
138 & 0.793349 & 0.413301 & 0.206651 \tabularnewline
139 & 0.776137 & 0.447725 & 0.223863 \tabularnewline
140 & 0.754509 & 0.490982 & 0.245491 \tabularnewline
141 & 0.756784 & 0.486433 & 0.243216 \tabularnewline
142 & 0.769537 & 0.460926 & 0.230463 \tabularnewline
143 & 0.743091 & 0.513817 & 0.256909 \tabularnewline
144 & 0.768679 & 0.462642 & 0.231321 \tabularnewline
145 & 0.740797 & 0.518406 & 0.259203 \tabularnewline
146 & 0.714384 & 0.571231 & 0.285616 \tabularnewline
147 & 0.685607 & 0.628787 & 0.314393 \tabularnewline
148 & 0.653412 & 0.693176 & 0.346588 \tabularnewline
149 & 0.620848 & 0.758304 & 0.379152 \tabularnewline
150 & 0.609419 & 0.781162 & 0.390581 \tabularnewline
151 & 0.816164 & 0.367672 & 0.183836 \tabularnewline
152 & 0.796399 & 0.407202 & 0.203601 \tabularnewline
153 & 0.80134 & 0.397319 & 0.19866 \tabularnewline
154 & 0.775572 & 0.448856 & 0.224428 \tabularnewline
155 & 0.766801 & 0.466398 & 0.233199 \tabularnewline
156 & 0.742551 & 0.514898 & 0.257449 \tabularnewline
157 & 0.724498 & 0.551005 & 0.275502 \tabularnewline
158 & 0.701509 & 0.596983 & 0.298491 \tabularnewline
159 & 0.715441 & 0.569117 & 0.284559 \tabularnewline
160 & 0.711945 & 0.576109 & 0.288055 \tabularnewline
161 & 0.68815 & 0.6237 & 0.31185 \tabularnewline
162 & 0.683112 & 0.633776 & 0.316888 \tabularnewline
163 & 0.655334 & 0.689333 & 0.344666 \tabularnewline
164 & 0.937347 & 0.125306 & 0.0626529 \tabularnewline
165 & 0.926212 & 0.147575 & 0.0737877 \tabularnewline
166 & 0.920703 & 0.158593 & 0.0792967 \tabularnewline
167 & 0.910871 & 0.178257 & 0.0891286 \tabularnewline
168 & 0.911147 & 0.177706 & 0.0888531 \tabularnewline
169 & 0.895643 & 0.208713 & 0.104357 \tabularnewline
170 & 0.922439 & 0.155123 & 0.0775614 \tabularnewline
171 & 0.912891 & 0.174218 & 0.0871091 \tabularnewline
172 & 0.910011 & 0.179978 & 0.0899888 \tabularnewline
173 & 0.914299 & 0.171402 & 0.0857011 \tabularnewline
174 & 0.899372 & 0.201256 & 0.100628 \tabularnewline
175 & 0.882529 & 0.234943 & 0.117471 \tabularnewline
176 & 0.886135 & 0.227731 & 0.113865 \tabularnewline
177 & 0.87362 & 0.252759 & 0.12638 \tabularnewline
178 & 0.88641 & 0.227179 & 0.11359 \tabularnewline
179 & 0.879046 & 0.241908 & 0.120954 \tabularnewline
180 & 0.903242 & 0.193515 & 0.0967577 \tabularnewline
181 & 0.919702 & 0.160596 & 0.0802982 \tabularnewline
182 & 0.921013 & 0.157973 & 0.0789867 \tabularnewline
183 & 0.92934 & 0.141321 & 0.0706604 \tabularnewline
184 & 0.916597 & 0.166806 & 0.0834028 \tabularnewline
185 & 0.933644 & 0.132711 & 0.0663557 \tabularnewline
186 & 0.92081 & 0.158379 & 0.0791896 \tabularnewline
187 & 0.923181 & 0.153639 & 0.0768193 \tabularnewline
188 & 0.931352 & 0.137295 & 0.0686475 \tabularnewline
189 & 0.937334 & 0.125332 & 0.0626658 \tabularnewline
190 & 0.926446 & 0.147107 & 0.0735537 \tabularnewline
191 & 0.921887 & 0.156226 & 0.0781129 \tabularnewline
192 & 0.907409 & 0.185182 & 0.0925912 \tabularnewline
193 & 0.917023 & 0.165954 & 0.0829772 \tabularnewline
194 & 0.924036 & 0.151928 & 0.0759638 \tabularnewline
195 & 0.909566 & 0.180869 & 0.0904344 \tabularnewline
196 & 0.899688 & 0.200623 & 0.100312 \tabularnewline
197 & 0.899572 & 0.200857 & 0.100428 \tabularnewline
198 & 0.881256 & 0.237489 & 0.118744 \tabularnewline
199 & 0.870177 & 0.259646 & 0.129823 \tabularnewline
200 & 0.849097 & 0.301806 & 0.150903 \tabularnewline
201 & 0.851224 & 0.297552 & 0.148776 \tabularnewline
202 & 0.831873 & 0.336254 & 0.168127 \tabularnewline
203 & 0.82985 & 0.3403 & 0.17015 \tabularnewline
204 & 0.803351 & 0.393298 & 0.196649 \tabularnewline
205 & 0.783929 & 0.432142 & 0.216071 \tabularnewline
206 & 0.798756 & 0.402488 & 0.201244 \tabularnewline
207 & 0.797505 & 0.404991 & 0.202495 \tabularnewline
208 & 0.780296 & 0.439408 & 0.219704 \tabularnewline
209 & 0.765004 & 0.469991 & 0.234996 \tabularnewline
210 & 0.769352 & 0.461296 & 0.230648 \tabularnewline
211 & 0.751485 & 0.497029 & 0.248515 \tabularnewline
212 & 0.716499 & 0.567002 & 0.283501 \tabularnewline
213 & 0.72589 & 0.54822 & 0.27411 \tabularnewline
214 & 0.709732 & 0.580537 & 0.290268 \tabularnewline
215 & 0.680613 & 0.638775 & 0.319387 \tabularnewline
216 & 0.643683 & 0.712634 & 0.356317 \tabularnewline
217 & 0.64527 & 0.70946 & 0.35473 \tabularnewline
218 & 0.624256 & 0.751488 & 0.375744 \tabularnewline
219 & 0.589777 & 0.820446 & 0.410223 \tabularnewline
220 & 0.551289 & 0.897421 & 0.448711 \tabularnewline
221 & 0.56068 & 0.878639 & 0.43932 \tabularnewline
222 & 0.643415 & 0.71317 & 0.356585 \tabularnewline
223 & 0.601388 & 0.797224 & 0.398612 \tabularnewline
224 & 0.706581 & 0.586839 & 0.293419 \tabularnewline
225 & 0.697632 & 0.604736 & 0.302368 \tabularnewline
226 & 0.755974 & 0.488053 & 0.244026 \tabularnewline
227 & 0.770742 & 0.458517 & 0.229258 \tabularnewline
228 & 0.815157 & 0.369687 & 0.184843 \tabularnewline
229 & 0.879744 & 0.240512 & 0.120256 \tabularnewline
230 & 0.916891 & 0.166219 & 0.0831094 \tabularnewline
231 & 0.921255 & 0.15749 & 0.078745 \tabularnewline
232 & 0.913985 & 0.172031 & 0.0860155 \tabularnewline
233 & 0.900664 & 0.198671 & 0.0993355 \tabularnewline
234 & 0.881031 & 0.237938 & 0.118969 \tabularnewline
235 & 0.857286 & 0.285429 & 0.142714 \tabularnewline
236 & 0.937683 & 0.124633 & 0.0623167 \tabularnewline
237 & 0.929672 & 0.140657 & 0.0703284 \tabularnewline
238 & 0.909468 & 0.181065 & 0.0905324 \tabularnewline
239 & 0.893059 & 0.213882 & 0.106941 \tabularnewline
240 & 0.862964 & 0.274073 & 0.137036 \tabularnewline
241 & 0.844623 & 0.310754 & 0.155377 \tabularnewline
242 & 0.810683 & 0.378633 & 0.189317 \tabularnewline
243 & 0.786047 & 0.427907 & 0.213953 \tabularnewline
244 & 0.739585 & 0.52083 & 0.260415 \tabularnewline
245 & 0.695852 & 0.608296 & 0.304148 \tabularnewline
246 & 0.645377 & 0.709247 & 0.354623 \tabularnewline
247 & 0.61782 & 0.764361 & 0.38218 \tabularnewline
248 & 0.802834 & 0.394332 & 0.197166 \tabularnewline
249 & 0.752159 & 0.495682 & 0.247841 \tabularnewline
250 & 0.715583 & 0.568833 & 0.284417 \tabularnewline
251 & 0.738882 & 0.522236 & 0.261118 \tabularnewline
252 & 0.682127 & 0.635746 & 0.317873 \tabularnewline
253 & 0.700514 & 0.598972 & 0.299486 \tabularnewline
254 & 0.694009 & 0.611982 & 0.305991 \tabularnewline
255 & 0.800005 & 0.399989 & 0.199995 \tabularnewline
256 & 0.883023 & 0.233954 & 0.116977 \tabularnewline
257 & 0.863858 & 0.272284 & 0.136142 \tabularnewline
258 & 0.834398 & 0.331203 & 0.165602 \tabularnewline
259 & 0.761324 & 0.477352 & 0.238676 \tabularnewline
260 & 0.950531 & 0.0989372 & 0.0494686 \tabularnewline
261 & 0.933373 & 0.133255 & 0.0666273 \tabularnewline
262 & 0.908916 & 0.182169 & 0.0910843 \tabularnewline
263 & 0.979983 & 0.0400342 & 0.0200171 \tabularnewline
264 & 0.935152 & 0.129697 & 0.0648483 \tabularnewline
265 & 0.841503 & 0.316994 & 0.158497 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268888&T=5

[TABLE]
[ROW][C]Goldfeld-Quandt test for Heteroskedasticity[/C][/ROW]
[ROW][C]p-values[/C][C]Alternative Hypothesis[/C][/ROW]
[ROW][C]breakpoint index[/C][C]greater[/C][C]2-sided[/C][C]less[/C][/ROW]
[ROW][C]14[/C][C]0.861391[/C][C]0.277218[/C][C]0.138609[/C][/ROW]
[ROW][C]15[/C][C]0.760214[/C][C]0.479573[/C][C]0.239786[/C][/ROW]
[ROW][C]16[/C][C]0.642083[/C][C]0.715834[/C][C]0.357917[/C][/ROW]
[ROW][C]17[/C][C]0.530637[/C][C]0.938727[/C][C]0.469363[/C][/ROW]
[ROW][C]18[/C][C]0.413719[/C][C]0.827439[/C][C]0.586281[/C][/ROW]
[ROW][C]19[/C][C]0.652771[/C][C]0.694458[/C][C]0.347229[/C][/ROW]
[ROW][C]20[/C][C]0.55966[/C][C]0.88068[/C][C]0.44034[/C][/ROW]
[ROW][C]21[/C][C]0.475236[/C][C]0.950472[/C][C]0.524764[/C][/ROW]
[ROW][C]22[/C][C]0.703911[/C][C]0.592178[/C][C]0.296089[/C][/ROW]
[ROW][C]23[/C][C]0.714803[/C][C]0.570393[/C][C]0.285197[/C][/ROW]
[ROW][C]24[/C][C]0.641351[/C][C]0.717298[/C][C]0.358649[/C][/ROW]
[ROW][C]25[/C][C]0.572895[/C][C]0.85421[/C][C]0.427105[/C][/ROW]
[ROW][C]26[/C][C]0.51762[/C][C]0.964759[/C][C]0.48238[/C][/ROW]
[ROW][C]27[/C][C]0.448657[/C][C]0.897315[/C][C]0.551343[/C][/ROW]
[ROW][C]28[/C][C]0.434062[/C][C]0.868125[/C][C]0.565938[/C][/ROW]
[ROW][C]29[/C][C]0.391102[/C][C]0.782204[/C][C]0.608898[/C][/ROW]
[ROW][C]30[/C][C]0.334779[/C][C]0.669558[/C][C]0.665221[/C][/ROW]
[ROW][C]31[/C][C]0.323319[/C][C]0.646637[/C][C]0.676681[/C][/ROW]
[ROW][C]32[/C][C]0.284838[/C][C]0.569676[/C][C]0.715162[/C][/ROW]
[ROW][C]33[/C][C]0.262402[/C][C]0.524804[/C][C]0.737598[/C][/ROW]
[ROW][C]34[/C][C]0.224484[/C][C]0.448968[/C][C]0.775516[/C][/ROW]
[ROW][C]35[/C][C]0.199338[/C][C]0.398675[/C][C]0.800662[/C][/ROW]
[ROW][C]36[/C][C]0.172544[/C][C]0.345087[/C][C]0.827456[/C][/ROW]
[ROW][C]37[/C][C]0.135884[/C][C]0.271767[/C][C]0.864116[/C][/ROW]
[ROW][C]38[/C][C]0.183203[/C][C]0.366406[/C][C]0.816797[/C][/ROW]
[ROW][C]39[/C][C]0.166336[/C][C]0.332671[/C][C]0.833664[/C][/ROW]
[ROW][C]40[/C][C]0.172452[/C][C]0.344904[/C][C]0.827548[/C][/ROW]
[ROW][C]41[/C][C]0.247686[/C][C]0.495372[/C][C]0.752314[/C][/ROW]
[ROW][C]42[/C][C]0.210033[/C][C]0.420066[/C][C]0.789967[/C][/ROW]
[ROW][C]43[/C][C]0.202754[/C][C]0.405508[/C][C]0.797246[/C][/ROW]
[ROW][C]44[/C][C]0.180842[/C][C]0.361684[/C][C]0.819158[/C][/ROW]
[ROW][C]45[/C][C]0.169755[/C][C]0.33951[/C][C]0.830245[/C][/ROW]
[ROW][C]46[/C][C]0.152067[/C][C]0.304134[/C][C]0.847933[/C][/ROW]
[ROW][C]47[/C][C]0.17663[/C][C]0.35326[/C][C]0.82337[/C][/ROW]
[ROW][C]48[/C][C]0.226184[/C][C]0.452369[/C][C]0.773816[/C][/ROW]
[ROW][C]49[/C][C]0.230603[/C][C]0.461206[/C][C]0.769397[/C][/ROW]
[ROW][C]50[/C][C]0.214748[/C][C]0.429496[/C][C]0.785252[/C][/ROW]
[ROW][C]51[/C][C]0.185617[/C][C]0.371233[/C][C]0.814383[/C][/ROW]
[ROW][C]52[/C][C]0.206841[/C][C]0.413681[/C][C]0.793159[/C][/ROW]
[ROW][C]53[/C][C]0.185887[/C][C]0.371774[/C][C]0.814113[/C][/ROW]
[ROW][C]54[/C][C]0.159316[/C][C]0.318632[/C][C]0.840684[/C][/ROW]
[ROW][C]55[/C][C]0.267462[/C][C]0.534924[/C][C]0.732538[/C][/ROW]
[ROW][C]56[/C][C]0.229937[/C][C]0.459875[/C][C]0.770063[/C][/ROW]
[ROW][C]57[/C][C]0.501026[/C][C]0.997948[/C][C]0.498974[/C][/ROW]
[ROW][C]58[/C][C]0.587809[/C][C]0.824383[/C][C]0.412191[/C][/ROW]
[ROW][C]59[/C][C]0.553308[/C][C]0.893385[/C][C]0.446692[/C][/ROW]
[ROW][C]60[/C][C]0.529792[/C][C]0.940416[/C][C]0.470208[/C][/ROW]
[ROW][C]61[/C][C]0.581487[/C][C]0.837026[/C][C]0.418513[/C][/ROW]
[ROW][C]62[/C][C]0.556915[/C][C]0.886171[/C][C]0.443085[/C][/ROW]
[ROW][C]63[/C][C]0.58647[/C][C]0.82706[/C][C]0.41353[/C][/ROW]
[ROW][C]64[/C][C]0.631231[/C][C]0.737537[/C][C]0.368769[/C][/ROW]
[ROW][C]65[/C][C]0.630607[/C][C]0.738787[/C][C]0.369393[/C][/ROW]
[ROW][C]66[/C][C]0.609522[/C][C]0.780956[/C][C]0.390478[/C][/ROW]
[ROW][C]67[/C][C]0.59176[/C][C]0.816481[/C][C]0.40824[/C][/ROW]
[ROW][C]68[/C][C]0.573096[/C][C]0.853808[/C][C]0.426904[/C][/ROW]
[ROW][C]69[/C][C]0.620624[/C][C]0.758753[/C][C]0.379376[/C][/ROW]
[ROW][C]70[/C][C]0.586811[/C][C]0.826378[/C][C]0.413189[/C][/ROW]
[ROW][C]71[/C][C]0.550709[/C][C]0.898583[/C][C]0.449291[/C][/ROW]
[ROW][C]72[/C][C]0.519522[/C][C]0.960957[/C][C]0.480478[/C][/ROW]
[ROW][C]73[/C][C]0.503999[/C][C]0.992002[/C][C]0.496001[/C][/ROW]
[ROW][C]74[/C][C]0.518539[/C][C]0.962921[/C][C]0.481461[/C][/ROW]
[ROW][C]75[/C][C]0.491207[/C][C]0.982415[/C][C]0.508793[/C][/ROW]
[ROW][C]76[/C][C]0.465079[/C][C]0.930158[/C][C]0.534921[/C][/ROW]
[ROW][C]77[/C][C]0.436428[/C][C]0.872857[/C][C]0.563572[/C][/ROW]
[ROW][C]78[/C][C]0.41967[/C][C]0.83934[/C][C]0.58033[/C][/ROW]
[ROW][C]79[/C][C]0.385606[/C][C]0.771211[/C][C]0.614394[/C][/ROW]
[ROW][C]80[/C][C]0.395593[/C][C]0.791186[/C][C]0.604407[/C][/ROW]
[ROW][C]81[/C][C]0.363191[/C][C]0.726382[/C][C]0.636809[/C][/ROW]
[ROW][C]82[/C][C]0.37548[/C][C]0.750961[/C][C]0.62452[/C][/ROW]
[ROW][C]83[/C][C]0.342871[/C][C]0.685742[/C][C]0.657129[/C][/ROW]
[ROW][C]84[/C][C]0.552783[/C][C]0.894435[/C][C]0.447217[/C][/ROW]
[ROW][C]85[/C][C]0.519086[/C][C]0.961828[/C][C]0.480914[/C][/ROW]
[ROW][C]86[/C][C]0.481268[/C][C]0.962536[/C][C]0.518732[/C][/ROW]
[ROW][C]87[/C][C]0.470515[/C][C]0.941031[/C][C]0.529485[/C][/ROW]
[ROW][C]88[/C][C]0.462995[/C][C]0.92599[/C][C]0.537005[/C][/ROW]
[ROW][C]89[/C][C]0.466572[/C][C]0.933145[/C][C]0.533428[/C][/ROW]
[ROW][C]90[/C][C]0.437891[/C][C]0.875783[/C][C]0.562109[/C][/ROW]
[ROW][C]91[/C][C]0.493521[/C][C]0.987042[/C][C]0.506479[/C][/ROW]
[ROW][C]92[/C][C]0.652314[/C][C]0.695371[/C][C]0.347686[/C][/ROW]
[ROW][C]93[/C][C]0.647649[/C][C]0.704701[/C][C]0.352351[/C][/ROW]
[ROW][C]94[/C][C]0.631702[/C][C]0.736597[/C][C]0.368298[/C][/ROW]
[ROW][C]95[/C][C]0.630026[/C][C]0.739948[/C][C]0.369974[/C][/ROW]
[ROW][C]96[/C][C]0.608878[/C][C]0.782244[/C][C]0.391122[/C][/ROW]
[ROW][C]97[/C][C]0.674519[/C][C]0.650963[/C][C]0.325481[/C][/ROW]
[ROW][C]98[/C][C]0.65441[/C][C]0.691181[/C][C]0.34559[/C][/ROW]
[ROW][C]99[/C][C]0.679338[/C][C]0.641324[/C][C]0.320662[/C][/ROW]
[ROW][C]100[/C][C]0.698459[/C][C]0.603081[/C][C]0.301541[/C][/ROW]
[ROW][C]101[/C][C]0.68395[/C][C]0.632101[/C][C]0.31605[/C][/ROW]
[ROW][C]102[/C][C]0.650416[/C][C]0.699167[/C][C]0.349584[/C][/ROW]
[ROW][C]103[/C][C]0.640353[/C][C]0.719293[/C][C]0.359647[/C][/ROW]
[ROW][C]104[/C][C]0.619816[/C][C]0.760369[/C][C]0.380184[/C][/ROW]
[ROW][C]105[/C][C]0.697257[/C][C]0.605487[/C][C]0.302743[/C][/ROW]
[ROW][C]106[/C][C]0.676931[/C][C]0.646138[/C][C]0.323069[/C][/ROW]
[ROW][C]107[/C][C]0.724396[/C][C]0.551208[/C][C]0.275604[/C][/ROW]
[ROW][C]108[/C][C]0.82454[/C][C]0.35092[/C][C]0.17546[/C][/ROW]
[ROW][C]109[/C][C]0.825016[/C][C]0.349969[/C][C]0.174984[/C][/ROW]
[ROW][C]110[/C][C]0.815466[/C][C]0.369069[/C][C]0.184534[/C][/ROW]
[ROW][C]111[/C][C]0.79794[/C][C]0.40412[/C][C]0.20206[/C][/ROW]
[ROW][C]112[/C][C]0.771833[/C][C]0.456335[/C][C]0.228167[/C][/ROW]
[ROW][C]113[/C][C]0.820981[/C][C]0.358038[/C][C]0.179019[/C][/ROW]
[ROW][C]114[/C][C]0.844441[/C][C]0.311119[/C][C]0.155559[/C][/ROW]
[ROW][C]115[/C][C]0.902564[/C][C]0.194872[/C][C]0.0974358[/C][/ROW]
[ROW][C]116[/C][C]0.911941[/C][C]0.176118[/C][C]0.0880592[/C][/ROW]
[ROW][C]117[/C][C]0.902648[/C][C]0.194704[/C][C]0.0973519[/C][/ROW]
[ROW][C]118[/C][C]0.887489[/C][C]0.225022[/C][C]0.112511[/C][/ROW]
[ROW][C]119[/C][C]0.875633[/C][C]0.248735[/C][C]0.124367[/C][/ROW]
[ROW][C]120[/C][C]0.871604[/C][C]0.256792[/C][C]0.128396[/C][/ROW]
[ROW][C]121[/C][C]0.88587[/C][C]0.22826[/C][C]0.11413[/C][/ROW]
[ROW][C]122[/C][C]0.87782[/C][C]0.24436[/C][C]0.12218[/C][/ROW]
[ROW][C]123[/C][C]0.871519[/C][C]0.256963[/C][C]0.128481[/C][/ROW]
[ROW][C]124[/C][C]0.914097[/C][C]0.171807[/C][C]0.0859035[/C][/ROW]
[ROW][C]125[/C][C]0.918308[/C][C]0.163383[/C][C]0.0816916[/C][/ROW]
[ROW][C]126[/C][C]0.904891[/C][C]0.190217[/C][C]0.0951086[/C][/ROW]
[ROW][C]127[/C][C]0.898918[/C][C]0.202165[/C][C]0.101082[/C][/ROW]
[ROW][C]128[/C][C]0.882702[/C][C]0.234596[/C][C]0.117298[/C][/ROW]
[ROW][C]129[/C][C]0.88261[/C][C]0.23478[/C][C]0.11739[/C][/ROW]
[ROW][C]130[/C][C]0.868267[/C][C]0.263466[/C][C]0.131733[/C][/ROW]
[ROW][C]131[/C][C]0.852213[/C][C]0.295573[/C][C]0.147787[/C][/ROW]
[ROW][C]132[/C][C]0.84446[/C][C]0.311079[/C][C]0.15554[/C][/ROW]
[ROW][C]133[/C][C]0.828228[/C][C]0.343544[/C][C]0.171772[/C][/ROW]
[ROW][C]134[/C][C]0.811662[/C][C]0.376677[/C][C]0.188338[/C][/ROW]
[ROW][C]135[/C][C]0.794812[/C][C]0.410376[/C][C]0.205188[/C][/ROW]
[ROW][C]136[/C][C]0.769065[/C][C]0.461871[/C][C]0.230935[/C][/ROW]
[ROW][C]137[/C][C]0.800465[/C][C]0.39907[/C][C]0.199535[/C][/ROW]
[ROW][C]138[/C][C]0.793349[/C][C]0.413301[/C][C]0.206651[/C][/ROW]
[ROW][C]139[/C][C]0.776137[/C][C]0.447725[/C][C]0.223863[/C][/ROW]
[ROW][C]140[/C][C]0.754509[/C][C]0.490982[/C][C]0.245491[/C][/ROW]
[ROW][C]141[/C][C]0.756784[/C][C]0.486433[/C][C]0.243216[/C][/ROW]
[ROW][C]142[/C][C]0.769537[/C][C]0.460926[/C][C]0.230463[/C][/ROW]
[ROW][C]143[/C][C]0.743091[/C][C]0.513817[/C][C]0.256909[/C][/ROW]
[ROW][C]144[/C][C]0.768679[/C][C]0.462642[/C][C]0.231321[/C][/ROW]
[ROW][C]145[/C][C]0.740797[/C][C]0.518406[/C][C]0.259203[/C][/ROW]
[ROW][C]146[/C][C]0.714384[/C][C]0.571231[/C][C]0.285616[/C][/ROW]
[ROW][C]147[/C][C]0.685607[/C][C]0.628787[/C][C]0.314393[/C][/ROW]
[ROW][C]148[/C][C]0.653412[/C][C]0.693176[/C][C]0.346588[/C][/ROW]
[ROW][C]149[/C][C]0.620848[/C][C]0.758304[/C][C]0.379152[/C][/ROW]
[ROW][C]150[/C][C]0.609419[/C][C]0.781162[/C][C]0.390581[/C][/ROW]
[ROW][C]151[/C][C]0.816164[/C][C]0.367672[/C][C]0.183836[/C][/ROW]
[ROW][C]152[/C][C]0.796399[/C][C]0.407202[/C][C]0.203601[/C][/ROW]
[ROW][C]153[/C][C]0.80134[/C][C]0.397319[/C][C]0.19866[/C][/ROW]
[ROW][C]154[/C][C]0.775572[/C][C]0.448856[/C][C]0.224428[/C][/ROW]
[ROW][C]155[/C][C]0.766801[/C][C]0.466398[/C][C]0.233199[/C][/ROW]
[ROW][C]156[/C][C]0.742551[/C][C]0.514898[/C][C]0.257449[/C][/ROW]
[ROW][C]157[/C][C]0.724498[/C][C]0.551005[/C][C]0.275502[/C][/ROW]
[ROW][C]158[/C][C]0.701509[/C][C]0.596983[/C][C]0.298491[/C][/ROW]
[ROW][C]159[/C][C]0.715441[/C][C]0.569117[/C][C]0.284559[/C][/ROW]
[ROW][C]160[/C][C]0.711945[/C][C]0.576109[/C][C]0.288055[/C][/ROW]
[ROW][C]161[/C][C]0.68815[/C][C]0.6237[/C][C]0.31185[/C][/ROW]
[ROW][C]162[/C][C]0.683112[/C][C]0.633776[/C][C]0.316888[/C][/ROW]
[ROW][C]163[/C][C]0.655334[/C][C]0.689333[/C][C]0.344666[/C][/ROW]
[ROW][C]164[/C][C]0.937347[/C][C]0.125306[/C][C]0.0626529[/C][/ROW]
[ROW][C]165[/C][C]0.926212[/C][C]0.147575[/C][C]0.0737877[/C][/ROW]
[ROW][C]166[/C][C]0.920703[/C][C]0.158593[/C][C]0.0792967[/C][/ROW]
[ROW][C]167[/C][C]0.910871[/C][C]0.178257[/C][C]0.0891286[/C][/ROW]
[ROW][C]168[/C][C]0.911147[/C][C]0.177706[/C][C]0.0888531[/C][/ROW]
[ROW][C]169[/C][C]0.895643[/C][C]0.208713[/C][C]0.104357[/C][/ROW]
[ROW][C]170[/C][C]0.922439[/C][C]0.155123[/C][C]0.0775614[/C][/ROW]
[ROW][C]171[/C][C]0.912891[/C][C]0.174218[/C][C]0.0871091[/C][/ROW]
[ROW][C]172[/C][C]0.910011[/C][C]0.179978[/C][C]0.0899888[/C][/ROW]
[ROW][C]173[/C][C]0.914299[/C][C]0.171402[/C][C]0.0857011[/C][/ROW]
[ROW][C]174[/C][C]0.899372[/C][C]0.201256[/C][C]0.100628[/C][/ROW]
[ROW][C]175[/C][C]0.882529[/C][C]0.234943[/C][C]0.117471[/C][/ROW]
[ROW][C]176[/C][C]0.886135[/C][C]0.227731[/C][C]0.113865[/C][/ROW]
[ROW][C]177[/C][C]0.87362[/C][C]0.252759[/C][C]0.12638[/C][/ROW]
[ROW][C]178[/C][C]0.88641[/C][C]0.227179[/C][C]0.11359[/C][/ROW]
[ROW][C]179[/C][C]0.879046[/C][C]0.241908[/C][C]0.120954[/C][/ROW]
[ROW][C]180[/C][C]0.903242[/C][C]0.193515[/C][C]0.0967577[/C][/ROW]
[ROW][C]181[/C][C]0.919702[/C][C]0.160596[/C][C]0.0802982[/C][/ROW]
[ROW][C]182[/C][C]0.921013[/C][C]0.157973[/C][C]0.0789867[/C][/ROW]
[ROW][C]183[/C][C]0.92934[/C][C]0.141321[/C][C]0.0706604[/C][/ROW]
[ROW][C]184[/C][C]0.916597[/C][C]0.166806[/C][C]0.0834028[/C][/ROW]
[ROW][C]185[/C][C]0.933644[/C][C]0.132711[/C][C]0.0663557[/C][/ROW]
[ROW][C]186[/C][C]0.92081[/C][C]0.158379[/C][C]0.0791896[/C][/ROW]
[ROW][C]187[/C][C]0.923181[/C][C]0.153639[/C][C]0.0768193[/C][/ROW]
[ROW][C]188[/C][C]0.931352[/C][C]0.137295[/C][C]0.0686475[/C][/ROW]
[ROW][C]189[/C][C]0.937334[/C][C]0.125332[/C][C]0.0626658[/C][/ROW]
[ROW][C]190[/C][C]0.926446[/C][C]0.147107[/C][C]0.0735537[/C][/ROW]
[ROW][C]191[/C][C]0.921887[/C][C]0.156226[/C][C]0.0781129[/C][/ROW]
[ROW][C]192[/C][C]0.907409[/C][C]0.185182[/C][C]0.0925912[/C][/ROW]
[ROW][C]193[/C][C]0.917023[/C][C]0.165954[/C][C]0.0829772[/C][/ROW]
[ROW][C]194[/C][C]0.924036[/C][C]0.151928[/C][C]0.0759638[/C][/ROW]
[ROW][C]195[/C][C]0.909566[/C][C]0.180869[/C][C]0.0904344[/C][/ROW]
[ROW][C]196[/C][C]0.899688[/C][C]0.200623[/C][C]0.100312[/C][/ROW]
[ROW][C]197[/C][C]0.899572[/C][C]0.200857[/C][C]0.100428[/C][/ROW]
[ROW][C]198[/C][C]0.881256[/C][C]0.237489[/C][C]0.118744[/C][/ROW]
[ROW][C]199[/C][C]0.870177[/C][C]0.259646[/C][C]0.129823[/C][/ROW]
[ROW][C]200[/C][C]0.849097[/C][C]0.301806[/C][C]0.150903[/C][/ROW]
[ROW][C]201[/C][C]0.851224[/C][C]0.297552[/C][C]0.148776[/C][/ROW]
[ROW][C]202[/C][C]0.831873[/C][C]0.336254[/C][C]0.168127[/C][/ROW]
[ROW][C]203[/C][C]0.82985[/C][C]0.3403[/C][C]0.17015[/C][/ROW]
[ROW][C]204[/C][C]0.803351[/C][C]0.393298[/C][C]0.196649[/C][/ROW]
[ROW][C]205[/C][C]0.783929[/C][C]0.432142[/C][C]0.216071[/C][/ROW]
[ROW][C]206[/C][C]0.798756[/C][C]0.402488[/C][C]0.201244[/C][/ROW]
[ROW][C]207[/C][C]0.797505[/C][C]0.404991[/C][C]0.202495[/C][/ROW]
[ROW][C]208[/C][C]0.780296[/C][C]0.439408[/C][C]0.219704[/C][/ROW]
[ROW][C]209[/C][C]0.765004[/C][C]0.469991[/C][C]0.234996[/C][/ROW]
[ROW][C]210[/C][C]0.769352[/C][C]0.461296[/C][C]0.230648[/C][/ROW]
[ROW][C]211[/C][C]0.751485[/C][C]0.497029[/C][C]0.248515[/C][/ROW]
[ROW][C]212[/C][C]0.716499[/C][C]0.567002[/C][C]0.283501[/C][/ROW]
[ROW][C]213[/C][C]0.72589[/C][C]0.54822[/C][C]0.27411[/C][/ROW]
[ROW][C]214[/C][C]0.709732[/C][C]0.580537[/C][C]0.290268[/C][/ROW]
[ROW][C]215[/C][C]0.680613[/C][C]0.638775[/C][C]0.319387[/C][/ROW]
[ROW][C]216[/C][C]0.643683[/C][C]0.712634[/C][C]0.356317[/C][/ROW]
[ROW][C]217[/C][C]0.64527[/C][C]0.70946[/C][C]0.35473[/C][/ROW]
[ROW][C]218[/C][C]0.624256[/C][C]0.751488[/C][C]0.375744[/C][/ROW]
[ROW][C]219[/C][C]0.589777[/C][C]0.820446[/C][C]0.410223[/C][/ROW]
[ROW][C]220[/C][C]0.551289[/C][C]0.897421[/C][C]0.448711[/C][/ROW]
[ROW][C]221[/C][C]0.56068[/C][C]0.878639[/C][C]0.43932[/C][/ROW]
[ROW][C]222[/C][C]0.643415[/C][C]0.71317[/C][C]0.356585[/C][/ROW]
[ROW][C]223[/C][C]0.601388[/C][C]0.797224[/C][C]0.398612[/C][/ROW]
[ROW][C]224[/C][C]0.706581[/C][C]0.586839[/C][C]0.293419[/C][/ROW]
[ROW][C]225[/C][C]0.697632[/C][C]0.604736[/C][C]0.302368[/C][/ROW]
[ROW][C]226[/C][C]0.755974[/C][C]0.488053[/C][C]0.244026[/C][/ROW]
[ROW][C]227[/C][C]0.770742[/C][C]0.458517[/C][C]0.229258[/C][/ROW]
[ROW][C]228[/C][C]0.815157[/C][C]0.369687[/C][C]0.184843[/C][/ROW]
[ROW][C]229[/C][C]0.879744[/C][C]0.240512[/C][C]0.120256[/C][/ROW]
[ROW][C]230[/C][C]0.916891[/C][C]0.166219[/C][C]0.0831094[/C][/ROW]
[ROW][C]231[/C][C]0.921255[/C][C]0.15749[/C][C]0.078745[/C][/ROW]
[ROW][C]232[/C][C]0.913985[/C][C]0.172031[/C][C]0.0860155[/C][/ROW]
[ROW][C]233[/C][C]0.900664[/C][C]0.198671[/C][C]0.0993355[/C][/ROW]
[ROW][C]234[/C][C]0.881031[/C][C]0.237938[/C][C]0.118969[/C][/ROW]
[ROW][C]235[/C][C]0.857286[/C][C]0.285429[/C][C]0.142714[/C][/ROW]
[ROW][C]236[/C][C]0.937683[/C][C]0.124633[/C][C]0.0623167[/C][/ROW]
[ROW][C]237[/C][C]0.929672[/C][C]0.140657[/C][C]0.0703284[/C][/ROW]
[ROW][C]238[/C][C]0.909468[/C][C]0.181065[/C][C]0.0905324[/C][/ROW]
[ROW][C]239[/C][C]0.893059[/C][C]0.213882[/C][C]0.106941[/C][/ROW]
[ROW][C]240[/C][C]0.862964[/C][C]0.274073[/C][C]0.137036[/C][/ROW]
[ROW][C]241[/C][C]0.844623[/C][C]0.310754[/C][C]0.155377[/C][/ROW]
[ROW][C]242[/C][C]0.810683[/C][C]0.378633[/C][C]0.189317[/C][/ROW]
[ROW][C]243[/C][C]0.786047[/C][C]0.427907[/C][C]0.213953[/C][/ROW]
[ROW][C]244[/C][C]0.739585[/C][C]0.52083[/C][C]0.260415[/C][/ROW]
[ROW][C]245[/C][C]0.695852[/C][C]0.608296[/C][C]0.304148[/C][/ROW]
[ROW][C]246[/C][C]0.645377[/C][C]0.709247[/C][C]0.354623[/C][/ROW]
[ROW][C]247[/C][C]0.61782[/C][C]0.764361[/C][C]0.38218[/C][/ROW]
[ROW][C]248[/C][C]0.802834[/C][C]0.394332[/C][C]0.197166[/C][/ROW]
[ROW][C]249[/C][C]0.752159[/C][C]0.495682[/C][C]0.247841[/C][/ROW]
[ROW][C]250[/C][C]0.715583[/C][C]0.568833[/C][C]0.284417[/C][/ROW]
[ROW][C]251[/C][C]0.738882[/C][C]0.522236[/C][C]0.261118[/C][/ROW]
[ROW][C]252[/C][C]0.682127[/C][C]0.635746[/C][C]0.317873[/C][/ROW]
[ROW][C]253[/C][C]0.700514[/C][C]0.598972[/C][C]0.299486[/C][/ROW]
[ROW][C]254[/C][C]0.694009[/C][C]0.611982[/C][C]0.305991[/C][/ROW]
[ROW][C]255[/C][C]0.800005[/C][C]0.399989[/C][C]0.199995[/C][/ROW]
[ROW][C]256[/C][C]0.883023[/C][C]0.233954[/C][C]0.116977[/C][/ROW]
[ROW][C]257[/C][C]0.863858[/C][C]0.272284[/C][C]0.136142[/C][/ROW]
[ROW][C]258[/C][C]0.834398[/C][C]0.331203[/C][C]0.165602[/C][/ROW]
[ROW][C]259[/C][C]0.761324[/C][C]0.477352[/C][C]0.238676[/C][/ROW]
[ROW][C]260[/C][C]0.950531[/C][C]0.0989372[/C][C]0.0494686[/C][/ROW]
[ROW][C]261[/C][C]0.933373[/C][C]0.133255[/C][C]0.0666273[/C][/ROW]
[ROW][C]262[/C][C]0.908916[/C][C]0.182169[/C][C]0.0910843[/C][/ROW]
[ROW][C]263[/C][C]0.979983[/C][C]0.0400342[/C][C]0.0200171[/C][/ROW]
[ROW][C]264[/C][C]0.935152[/C][C]0.129697[/C][C]0.0648483[/C][/ROW]
[ROW][C]265[/C][C]0.841503[/C][C]0.316994[/C][C]0.158497[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268888&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268888&T=5

As an alternative you can also use a QR Code:

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

Goldfeld-Quandt test for Heteroskedasticity
p-values	Alternative Hypothesis
breakpoint index	greater	2-sided	less
14	0.861391	0.277218	0.138609
15	0.760214	0.479573	0.239786
16	0.642083	0.715834	0.357917
17	0.530637	0.938727	0.469363
18	0.413719	0.827439	0.586281
19	0.652771	0.694458	0.347229
20	0.55966	0.88068	0.44034
21	0.475236	0.950472	0.524764
22	0.703911	0.592178	0.296089
23	0.714803	0.570393	0.285197
24	0.641351	0.717298	0.358649
25	0.572895	0.85421	0.427105
26	0.51762	0.964759	0.48238
27	0.448657	0.897315	0.551343
28	0.434062	0.868125	0.565938
29	0.391102	0.782204	0.608898
30	0.334779	0.669558	0.665221
31	0.323319	0.646637	0.676681
32	0.284838	0.569676	0.715162
33	0.262402	0.524804	0.737598
34	0.224484	0.448968	0.775516
35	0.199338	0.398675	0.800662
36	0.172544	0.345087	0.827456
37	0.135884	0.271767	0.864116
38	0.183203	0.366406	0.816797
39	0.166336	0.332671	0.833664
40	0.172452	0.344904	0.827548
41	0.247686	0.495372	0.752314
42	0.210033	0.420066	0.789967
43	0.202754	0.405508	0.797246
44	0.180842	0.361684	0.819158
45	0.169755	0.33951	0.830245
46	0.152067	0.304134	0.847933
47	0.17663	0.35326	0.82337
48	0.226184	0.452369	0.773816
49	0.230603	0.461206	0.769397
50	0.214748	0.429496	0.785252
51	0.185617	0.371233	0.814383
52	0.206841	0.413681	0.793159
53	0.185887	0.371774	0.814113
54	0.159316	0.318632	0.840684
55	0.267462	0.534924	0.732538
56	0.229937	0.459875	0.770063
57	0.501026	0.997948	0.498974
58	0.587809	0.824383	0.412191
59	0.553308	0.893385	0.446692
60	0.529792	0.940416	0.470208
61	0.581487	0.837026	0.418513
62	0.556915	0.886171	0.443085
63	0.58647	0.82706	0.41353
64	0.631231	0.737537	0.368769
65	0.630607	0.738787	0.369393
66	0.609522	0.780956	0.390478
67	0.59176	0.816481	0.40824
68	0.573096	0.853808	0.426904
69	0.620624	0.758753	0.379376
70	0.586811	0.826378	0.413189
71	0.550709	0.898583	0.449291
72	0.519522	0.960957	0.480478
73	0.503999	0.992002	0.496001
74	0.518539	0.962921	0.481461
75	0.491207	0.982415	0.508793
76	0.465079	0.930158	0.534921
77	0.436428	0.872857	0.563572
78	0.41967	0.83934	0.58033
79	0.385606	0.771211	0.614394
80	0.395593	0.791186	0.604407
81	0.363191	0.726382	0.636809
82	0.37548	0.750961	0.62452
83	0.342871	0.685742	0.657129
84	0.552783	0.894435	0.447217
85	0.519086	0.961828	0.480914
86	0.481268	0.962536	0.518732
87	0.470515	0.941031	0.529485
88	0.462995	0.92599	0.537005
89	0.466572	0.933145	0.533428
90	0.437891	0.875783	0.562109
91	0.493521	0.987042	0.506479
92	0.652314	0.695371	0.347686
93	0.647649	0.704701	0.352351
94	0.631702	0.736597	0.368298
95	0.630026	0.739948	0.369974
96	0.608878	0.782244	0.391122
97	0.674519	0.650963	0.325481
98	0.65441	0.691181	0.34559
99	0.679338	0.641324	0.320662
100	0.698459	0.603081	0.301541
101	0.68395	0.632101	0.31605
102	0.650416	0.699167	0.349584
103	0.640353	0.719293	0.359647
104	0.619816	0.760369	0.380184
105	0.697257	0.605487	0.302743
106	0.676931	0.646138	0.323069
107	0.724396	0.551208	0.275604
108	0.82454	0.35092	0.17546
109	0.825016	0.349969	0.174984
110	0.815466	0.369069	0.184534
111	0.79794	0.40412	0.20206
112	0.771833	0.456335	0.228167
113	0.820981	0.358038	0.179019
114	0.844441	0.311119	0.155559
115	0.902564	0.194872	0.0974358
116	0.911941	0.176118	0.0880592
117	0.902648	0.194704	0.0973519
118	0.887489	0.225022	0.112511
119	0.875633	0.248735	0.124367
120	0.871604	0.256792	0.128396
121	0.88587	0.22826	0.11413
122	0.87782	0.24436	0.12218
123	0.871519	0.256963	0.128481
124	0.914097	0.171807	0.0859035
125	0.918308	0.163383	0.0816916
126	0.904891	0.190217	0.0951086
127	0.898918	0.202165	0.101082
128	0.882702	0.234596	0.117298
129	0.88261	0.23478	0.11739
130	0.868267	0.263466	0.131733
131	0.852213	0.295573	0.147787
132	0.84446	0.311079	0.15554
133	0.828228	0.343544	0.171772
134	0.811662	0.376677	0.188338
135	0.794812	0.410376	0.205188
136	0.769065	0.461871	0.230935
137	0.800465	0.39907	0.199535
138	0.793349	0.413301	0.206651
139	0.776137	0.447725	0.223863
140	0.754509	0.490982	0.245491
141	0.756784	0.486433	0.243216
142	0.769537	0.460926	0.230463
143	0.743091	0.513817	0.256909
144	0.768679	0.462642	0.231321
145	0.740797	0.518406	0.259203
146	0.714384	0.571231	0.285616
147	0.685607	0.628787	0.314393
148	0.653412	0.693176	0.346588
149	0.620848	0.758304	0.379152
150	0.609419	0.781162	0.390581
151	0.816164	0.367672	0.183836
152	0.796399	0.407202	0.203601
153	0.80134	0.397319	0.19866
154	0.775572	0.448856	0.224428
155	0.766801	0.466398	0.233199
156	0.742551	0.514898	0.257449
157	0.724498	0.551005	0.275502
158	0.701509	0.596983	0.298491
159	0.715441	0.569117	0.284559
160	0.711945	0.576109	0.288055
161	0.68815	0.6237	0.31185
162	0.683112	0.633776	0.316888
163	0.655334	0.689333	0.344666
164	0.937347	0.125306	0.0626529
165	0.926212	0.147575	0.0737877
166	0.920703	0.158593	0.0792967
167	0.910871	0.178257	0.0891286
168	0.911147	0.177706	0.0888531
169	0.895643	0.208713	0.104357
170	0.922439	0.155123	0.0775614
171	0.912891	0.174218	0.0871091
172	0.910011	0.179978	0.0899888
173	0.914299	0.171402	0.0857011
174	0.899372	0.201256	0.100628
175	0.882529	0.234943	0.117471
176	0.886135	0.227731	0.113865
177	0.87362	0.252759	0.12638
178	0.88641	0.227179	0.11359
179	0.879046	0.241908	0.120954
180	0.903242	0.193515	0.0967577
181	0.919702	0.160596	0.0802982
182	0.921013	0.157973	0.0789867
183	0.92934	0.141321	0.0706604
184	0.916597	0.166806	0.0834028
185	0.933644	0.132711	0.0663557
186	0.92081	0.158379	0.0791896
187	0.923181	0.153639	0.0768193
188	0.931352	0.137295	0.0686475
189	0.937334	0.125332	0.0626658
190	0.926446	0.147107	0.0735537
191	0.921887	0.156226	0.0781129
192	0.907409	0.185182	0.0925912
193	0.917023	0.165954	0.0829772
194	0.924036	0.151928	0.0759638
195	0.909566	0.180869	0.0904344
196	0.899688	0.200623	0.100312
197	0.899572	0.200857	0.100428
198	0.881256	0.237489	0.118744
199	0.870177	0.259646	0.129823
200	0.849097	0.301806	0.150903
201	0.851224	0.297552	0.148776
202	0.831873	0.336254	0.168127
203	0.82985	0.3403	0.17015
204	0.803351	0.393298	0.196649
205	0.783929	0.432142	0.216071
206	0.798756	0.402488	0.201244
207	0.797505	0.404991	0.202495
208	0.780296	0.439408	0.219704
209	0.765004	0.469991	0.234996
210	0.769352	0.461296	0.230648
211	0.751485	0.497029	0.248515
212	0.716499	0.567002	0.283501
213	0.72589	0.54822	0.27411
214	0.709732	0.580537	0.290268
215	0.680613	0.638775	0.319387
216	0.643683	0.712634	0.356317
217	0.64527	0.70946	0.35473
218	0.624256	0.751488	0.375744
219	0.589777	0.820446	0.410223
220	0.551289	0.897421	0.448711
221	0.56068	0.878639	0.43932
222	0.643415	0.71317	0.356585
223	0.601388	0.797224	0.398612
224	0.706581	0.586839	0.293419
225	0.697632	0.604736	0.302368
226	0.755974	0.488053	0.244026
227	0.770742	0.458517	0.229258
228	0.815157	0.369687	0.184843
229	0.879744	0.240512	0.120256
230	0.916891	0.166219	0.0831094
231	0.921255	0.15749	0.078745
232	0.913985	0.172031	0.0860155
233	0.900664	0.198671	0.0993355
234	0.881031	0.237938	0.118969
235	0.857286	0.285429	0.142714
236	0.937683	0.124633	0.0623167
237	0.929672	0.140657	0.0703284
238	0.909468	0.181065	0.0905324
239	0.893059	0.213882	0.106941
240	0.862964	0.274073	0.137036
241	0.844623	0.310754	0.155377
242	0.810683	0.378633	0.189317
243	0.786047	0.427907	0.213953
244	0.739585	0.52083	0.260415
245	0.695852	0.608296	0.304148
246	0.645377	0.709247	0.354623
247	0.61782	0.764361	0.38218
248	0.802834	0.394332	0.197166
249	0.752159	0.495682	0.247841
250	0.715583	0.568833	0.284417
251	0.738882	0.522236	0.261118
252	0.682127	0.635746	0.317873
253	0.700514	0.598972	0.299486
254	0.694009	0.611982	0.305991
255	0.800005	0.399989	0.199995
256	0.883023	0.233954	0.116977
257	0.863858	0.272284	0.136142
258	0.834398	0.331203	0.165602
259	0.761324	0.477352	0.238676
260	0.950531	0.0989372	0.0494686
261	0.933373	0.133255	0.0666273
262	0.908916	0.182169	0.0910843
263	0.979983	0.0400342	0.0200171
264	0.935152	0.129697	0.0648483
265	0.841503	0.316994	0.158497

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	0.00396825	OK
10% type I error level	2	0.00793651	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 & 0.00396825 & OK \tabularnewline
10% type I error level & 2 & 0.00793651 & OK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268888&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]0.00396825[/C][C]OK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]2[/C][C]0.00793651[/C][C]OK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268888&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268888&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	0.00396825	OK
10% type I error level	2	0.00793651	OK

Figure 1

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Figure 2

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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 = 1 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;

Parameters (R input):

par1 = 1 ; 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