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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

Tue, 16 Dec 2014 16:45:36 +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/16/t1418748377l8naor89oo2280p.htm/, Retrieved Sun, 19 May 2024 16:27:56 +0000

Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=269831, Retrieved Sun, 19 May 2024 16:27:56 +0000

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User-defined keywords

Estimated Impact

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

-     [Percentiles] [Intrinsic Motivat...] [2010-10-12 12:10:58] [b98453cac15ba1066b407e146608df68]
- R  D  [Percentiles] [] [2011-10-18 22:34:54] [b98453cac15ba1066b407e146608df68]
- RMPD    [Percentiles] [] [2014-12-14 10:18:21] [2fea329c6e322b1612c5dc504f90c0ef]
-    D      [Percentiles] [] [2014-12-14 10:24:25] [2fea329c6e322b1612c5dc504f90c0ef]
-    D        [Percentiles] [] [2014-12-14 10:27:52] [2fea329c6e322b1612c5dc504f90c0ef]
-   PD          [Percentiles] [] [2014-12-16 14:14:51] [2fea329c6e322b1612c5dc504f90c0ef]
-    D            [Percentiles] [] [2014-12-16 14:30:23] [2fea329c6e322b1612c5dc504f90c0ef]
- RM D              [Multiple Regression] [] [2014-12-16 16:28:02] [2fea329c6e322b1612c5dc504f90c0ef]
- R  D                  [Multiple Regression] [] [2014-12-16 16:45:36] [4bf1efda48b6e8e35beb7b429a900cbb] [Current]

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Dataseries X:

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12,9	76	21	0	86	149	96	18	68
7,4	119	26	0	62	152	75	7	55
12,2	119	22	0	70	139	70	31	39
12,8	91	22	0	71	148	88	39	32
7,4	138	18	0	108	158	114	46	62
6,7	97	23	0	64	128	69	31	33
12,6	117	12	0	119	224	176	67	52
14,8	125	20	0	97	159	114	35	62
13,3	95	22	0	129	105	121	52	77
11,1	168	21	0	153	159	110	77	76
8,2	109	19	0	78	167	158	37	41
11,4	115	22	0	80	165	116	32	48
6,4	135	15	0	99	159	181	36	63
10,6	130	20	0	68	119	77	38	30
12,0	131	19	0	147	176	141	69	78
6,3	143	18	0	40	54	35	21	19
11,3	134	15	1	57	91	80	26	31
11,9	109	20	0	120	163	152	54	66
9,3	126	21	0	71	124	97	36	35
9,6	117	21	1	84	137	99	42	42
10,0	155	15	0	68	121	84	23	45
6,4	136	16	0	55	153	68	34	21
13,8	132	23	0	137	148	101	112	25
10,8	129	21	0	79	221	107	35	44
13,8	129	18	0	116	188	88	47	69
11,7	131	25	0	101	149	112	47	54
10,9	123	9	0	111	244	171	37	74
16,1	125	30	1	189	148	137	109	80
13,4	112	20	1	66	92	77	24	42
9,9	131	23	0	81	150	66	20	61
11,5	129	16	0	63	153	93	22	41
8,3	99	16	0	69	94	105	23	46
11,7	114	19	0	71	156	131	32	39
6,1	128	25	0	70	146	89	7	63
9,0	130	25	0	64	132	102	30	34
9,7	112	18	0	143	161	161	92	51
10,8	122	23	0	85	105	120	43	42
10,3	115	21	0	86	97	127	55	31
10,4	124	10	0	55	151	77	16	39
12,7	120	14	1	69	131	108	49	20
9,3	119	22	0	120	166	85	71	49
11,8	123	26	0	96	157	168	43	53
5,9	91	23	0	60	111	48	29	31
11,4	107	23	0	95	145	152	56	39
13,0	118	24	0	100	162	75	46	54
10,8	111	24	0	68	163	107	19	49
12,3	95	18	1	57	59	62	23	34
11,3	135	23	0	105	187	121	59	46
11,8	108	15	0	85	109	124	30	55
7,9	130	19	1	103	90	72	61	42
12,7	143	16	0	57	105	40	7	50
12,3	110	25	1	51	83	58	38	13
11,6	131	23	1	69	116	97	32	37
6,7	113	17	1	41	42	88	16	25
10,9	103	19	0	49	148	126	19	30
12,1	140	21	1	50	155	104	22	28
13,3	125	18	0	93	125	148	48	45
10,1	127	27	0	58	116	146	23	35
5,7	116	21	1	54	128	80	26	28
14,3	120	13	0	74	138	97	33	41
8,0	108	8	1	15	49	25	9	6
13,3	111	29	1	69	96	99	24	45
9,3	125	28	0	107	164	118	34	73
12,5	126	23	0	65	162	58	48	17
7,6	116	21	0	58	99	63	18	40
15,9	104	19	0	107	202	139	43	64
9,2	113	19	0	70	186	50	33	37
9,1	106	20	1	53	66	60	28	25
11,1	139	18	0	136	183	152	71	65
13,0	119	19	0	126	214	142	26	100
14,5	112	17	0	95	188	94	67	28
12,2	101	19	1	69	104	66	34	35
12,3	110	25	0	136	177	127	80	56
11,4	115	19	0	58	126	67	29	29
8,8	116	22	1	59	76	90	16	43
14,6	122	23	1	118	99	75	59	59
7,3	111	26	0	110	157	96	58	52
12,6	115	14	0	82	139	128	32	50
NA	112	28	0	50	78	41	47	3
13,0	109	16	0	102	162	146	43	59
12,6	97	24	1	65	108	69	38	27
13,2	132	20	0	90	159	186	29	61
9,9	102	12	1	64	74	81	36	28
7,7	124	24	0	83	110	85	32	51
10,5	115	22	1	70	96	54	35	35
13,4	128	12	1	50	116	46	21	29
10,9	121	22	1	77	87	106	29	48
4,3	130	20	1	37	97	34	12	25
10,3	99	10	1	81	127	60	37	44
11,8	122	23	1	101	106	95	37	64
11,2	126	17	1	79	80	57	47	32
11,4	141	22	1	71	74	62	51	20
8,6	124	24	1	60	91	36	32	28
13,2	127	18	1	55	133	56	21	34
12,6	114	21	1	44	74	54	13	31
5,6	99	20	1	40	114	64	14	26
9,9	137	20	1	56	140	76	-2	58
8,8	97	22	1	43	95	98	20	23
7,7	108	19	1	45	98	88	24	21
9,0	138	20	1	32	121	35	11	21
7,3	123	26	1	56	126	102	23	33
11,4	125	23	1	40	98	61	24	16
13,6	106	24	1	34	95	80	14	20
7,9	138	21	1	89	110	49	52	37
10,7	127	21	1	50	70	78	15	35
10,3	142	19	1	56	102	90	23	33
8,3	94	8	1	46	86	45	19	27
9,6	133	17	1	76	130	55	35	41
14,2	119	20	1	64	96	96	24	40
8,5	114	11	1	74	102	43	39	35
13,5	114	8	1	57	100	52	29	28
4,9	123	15	1	45	94	60	13	32
6,4	126	18	1	30	52	54	8	22
9,6	118	18	1	62	98	51	18	44
11,6	132	19	1	51	118	51	24	27
11,1	127	19	1	36	99	38	19	17
4,35	103	23	0	34	48	41	23	12
12,7	72	22	0	61	50	146	16	45
18,1	113	21	0	70	150	182	33	37
17,85	125	25	0	69	154	192	32	37
16,6	109	30	1	145	109	263	37	108
12,6	111	17	1	23	68	35	14	10
17,1	105	27	0	120	194	439	52	68
19,1	122	23	0	147	158	214	75	72
16,1	127	23	0	215	159	341	72	143
13,35	117	18	0	24	67	58	15	9
18,4	91	18	0	84	147	292	29	55
14,7	143	23	0	30	39	85	13	17
10,6	116	19	0	77	100	200	40	37
12,6	123	15	0	46	111	158	19	27
16,2	101	20	0	61	138	199	24	37
13,6	119	16	0	178	101	297	121	58
18,9	143	24	1	160	131	227	93	66
14,1	114	25	0	57	101	108	36	21
14,5	108	25	0	42	114	86	23	19
16,15	128	19	0	163	165	302	85	78
14,75	122	19	0	75	114	148	41	35
14,8	133	16	0	94	111	178	46	48
12,45	94	19	0	45	75	120	18	27
12,65	128	19	0	78	82	207	35	43
17,35	108	23	0	47	121	157	17	30
8,6	125	21	0	29	32	128	4	25
18,4	130	22	0	97	150	296	28	69
16,1	112	19	0	116	117	323	44	72
11,6	89	20	1	32	71	79	10	23
17,75	117	20	0	50	165	70	38	13
15,25	142	3	0	118	154	146	57	61
17,65	128	23	0	66	126	246	23	43
15,6	114	14	0	48	138	145	26	22
16,35	123	23	0	86	149	196	36	51
17,65	89	20	0	89	145	199	22	67
13,6	125	15	0	76	120	127	40	36
11,7	110	13	0	39	138	91	18	21
14,35	112	16	0	75	109	153	31	44
14,75	109	7	0	57	132	299	11	45
18,25	108	24	0	72	172	228	38	34
9,9	139	17	0	60	169	190	24	36
16	116	24	0	109	114	180	37	72
18,25	116	24	0	76	156	212	37	39
16,85	88	19	0	65	172	269	22	43
14,6	128	25	1	40	68	130	15	25
13,85	125	20	1	58	89	179	2	56
18,95	134	28	0	123	167	243	43	80
15,6	126	23	0	71	113	190	31	40
14,85	121	27	1	102	115	299	29	73
11,75	106	18	1	80	78	121	45	34
18,45	109	28	1	97	118	137	25	72
15,9	127	21	1	46	87	305	4	42
17,1	101	19	0	93	173	157	31	61
16,1	120	23	0	19	2	96	-4	23
19,9	99	27	1	140	162	183	66	74
10,95	116	22	1	78	49	52	61	16
18,45	125	28	1	98	122	238	32	66
15,1	121	25	1	40	96	40	31	9
15	127	21	1	80	100	226	39	41
11,35	129	22	1	76	82	190	19	57
15,95	155	28	1	79	100	214	31	48
18,1	113	20	1	87	115	145	36	51
14,6	125	29	1	95	141	119	42	53
15,4	114	25	0	49	165	222	21	29
15,4	116	25	0	49	165	222	21	29
17,6	127	20	1	80	110	159	25	55
13,35	102	20	0	86	118	165	32	54
19,1	87	16	0	69	158	249	26	43
15,35	110	20	1	79	146	125	28	51
7,6	115	20	0	52	49	122	32	20
13,4	108	23	1	120	90	186	41	79
13,9	97	18	1	69	121	148	29	39
19,1	119	25	0	94	155	274	33	61
15,25	130	18	1	72	104	172	17	55
12,9	97	19	1	43	147	84	13	30
16,1	120	25	1	87	110	168	32	55
17,35	125	25	1	52	108	102	30	22
13,15	131	25	1	71	113	106	34	37
12,15	129	24	1	61	115	2	59	2
12,6	125	19	1	51	61	139	13	38
10,35	108	26	1	50	60	95	23	27
15,4	142	10	1	67	109	130	10	56
9,6	117	17	1	30	68	72	5	25
18,2	130	13	1	70	111	141	31	39
13,6	93	17	1	52	77	113	19	33
14,85	97	30	1	75	73	206	32	43
14,75	120	25	0	87	151	268	30	57
14,1	110	4	1	69	89	175	25	43
14,9	111	16	1	72	78	77	48	23
16,25	130	21	1	79	110	125	35	44
19,25	66	23	0	121	220	255	67	54
13,6	113	22	1	43	65	111	15	28
13,6	126	17	0	58	141	132	22	36
15,65	114	20	1	57	117	211	18	39
12,75	130	20	0	50	122	92	33	16
14,6	112	22	1	69	63	76	46	23
9,85	126	16	0	64	44	171	24	40
12,65	86	23	1	38	52	83	14	24
11,9	122	16	1	53	62	119	23	29
19,2	118	0	1	90	131	266	12	78
16,6	124	18	1	96	101	186	38	57
11,2	120	25	1	49	42	50	12	37
15,25	128	23	0	56	152	117	28	27
11,9	134	12	0	102	107	219	41	61
13,2	133	18	1	40	77	246	12	27
16,35	131	24	0	100	154	279	31	69
12,4	102	11	0	67	103	148	33	34
15,85	97	18	1	78	96	137	34	44
14,35	93	14	0	62	154	130	41	21
18,15	129	23	0	55	175	181	21	34
11,15	115	24	1	59	57	98	20	39
15,65	116	29	1	96	112	226	44	51
17,75	136	18	0	86	143	234	52	34
7,65	142	15	1	38	49	138	7	31
12,35	112	29	0	43	110	85	29	13
15,6	120	16	0	23	131	66	11	12
19,3	121	19	0	77	167	236	26	51
15,2	110	22	1	48	56	106	24	24
17,1	122	16	0	26	137	135	7	19
15,6	133	23	1	91	86	122	60	30
18,4	136	23	0	94	121	218	13	81
19,05	118	19	0	62	149	199	20	42
18,55	130	4	0	74	168	112	52	22
19,1	114	20	0	114	140	278	28	85
13,1	147	24	1	52	88	94	25	27
12,85	123	20	0	64	168	113	39	25
9,5	121	4	0	31	94	84	9	22
4,5	119	24	0	38	51	86	19	19
11,85	129	22	1	27	48	62	13	14
13,6	137	16	0	105	145	222	60	45
11,7	63	3	0	64	66	167	19	45
12,4	134	15	1	62	85	82	34	28
13,35	140	24	0	65	109	207	14	51
11,4	134	17	1	58	63	184	17	41
14,9	121	20	1	76	102	83	45	31
19,9	105	27	1	140	162	183	66	74
17,75	114	23	0	48	128	85	24	24
11,2	106	26	1	68	86	89	48	19
14,6	135	23	1	80	114	225	29	51
17,6	100	17	0	71	164	237	-2	73
14,05	101	20	0	76	119	102	51	24
16,1	131	22	0	63	126	221	2	61
13,35	131	19	0	46	132	128	24	23
11,85	129	24	0	53	142	91	40	14
11,95	120	19	0	74	83	198	20	54
14,75	117	23	1	70	94	204	19	51
15,15	82	15	1	78	81	158	16	62
13,2	106	27	0	56	166	138	20	36
16,85	125	26	1	100	110	226	40	59
7,85	130	22	1	51	64	44	27	24
7,7	147	22	0	52	93	196	25	26
12,6	125	18	1	102	104	83	49	54
7,85	97	15	1	78	105	79	39	39
10,95	101	22	1	78	49	52	61	16
12,35	128	27	1	55	88	105	19	36
9,95	97	10	1	98	95	116	67	31
14,9	126	20	1	76	102	83	45	31
16,65	118	17	1	73	99	196	30	42
13,4	107	23	1	47	63	153	8	39
13,95	87	19	1	45	76	157	19	25
15,7	156	13	1	83	109	75	52	31
16,85	133	27	1	60	117	106	22	38
10,95	132	23	1	48	57	58	17	31
15,35	133	16	1	50	120	75	33	17
12,2	122	25	1	56	73	74	34	22
15,1	125	2	1	77	91	185	22	55
17,75	127	26	1	91	108	265	30	62
15,2	125	20	1	76	105	131	25	51
14,6	99	23	0	68	117	139	38	30
16,65	128	22	1	74	119	196	26	49
8,1	110	24	1	29	31	78	13	16

Summary of computational transaction
Raw Input	view raw input (R code)
Raw Output	view raw output of R engine
Computing time	10 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 & 10 seconds \tabularnewline
R Server & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=269831&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]10 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=269831&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=269831&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	10 seconds
R Server	'Sir Maurice George Kendall' @ kendall.wessa.net

Multiple Linear Regression - Estimated Regression Equation
TOT.SCORE[t] = + 7.08954 -0.0114471TOT.AMS[t] + 0.0326666NUMERACY[t] + 1.51503BA_of_SCH[t] + 0.183531H[t] + 0.0210737zinvolle_teksten[t] + 0.0310855B[t] -0.179839PRH[t] -0.20493CH[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
TOT.SCORE[t] =  +  7.08954 -0.0114471TOT.AMS[t] +  0.0326666NUMERACY[t] +  1.51503BA_of_SCH[t] +  0.183531H[t] +  0.0210737zinvolle_teksten[t] +  0.0310855B[t] -0.179839PRH[t] -0.20493CH[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=269831&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]TOT.SCORE[t] =  +  7.08954 -0.0114471TOT.AMS[t] +  0.0326666NUMERACY[t] +  1.51503BA_of_SCH[t] +  0.183531H[t] +  0.0210737zinvolle_teksten[t] +  0.0310855B[t] -0.179839PRH[t] -0.20493CH[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=269831&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=269831&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.SCORE[t] = + 7.08954 -0.0114471TOT.AMS[t] + 0.0326666NUMERACY[t] + 1.51503BA_of_SCH[t] + 0.183531H[t] + 0.0210737zinvolle_teksten[t] + 0.0310855B[t] -0.179839PRH[t] -0.20493CH[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)	7.08954	1.50331	4.716	3.818e-06	1.909e-06
TOT.AMS	-0.0114471	0.010595	-1.08	0.280893	0.140447
NUMERACY	0.0326666	0.0314163	1.04	0.29934	0.14967
BA_of_SCH	1.51503	0.384504	3.94	0.000103118	5.15591e-05
H	0.183531	0.43993	0.4172	0.676868	0.338434
zinvolle_teksten	0.0210737	0.00538635	3.912	0.000115033	5.75165e-05
B	0.0310855	0.00290728	10.69	1.44821e-22	7.24107e-23
PRH	-0.179839	0.440728	-0.4081	0.683552	0.341776
CH	-0.20493	0.439965	-0.4658	0.641734	0.320867

\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) & 7.08954 & 1.50331 & 4.716 & 3.818e-06 & 1.909e-06 \tabularnewline
TOT.AMS & -0.0114471 & 0.010595 & -1.08 & 0.280893 & 0.140447 \tabularnewline
NUMERACY & 0.0326666 & 0.0314163 & 1.04 & 0.29934 & 0.14967 \tabularnewline
BA_of_SCH & 1.51503 & 0.384504 & 3.94 & 0.000103118 & 5.15591e-05 \tabularnewline
H & 0.183531 & 0.43993 & 0.4172 & 0.676868 & 0.338434 \tabularnewline
zinvolle_teksten & 0.0210737 & 0.00538635 & 3.912 & 0.000115033 & 5.75165e-05 \tabularnewline
B & 0.0310855 & 0.00290728 & 10.69 & 1.44821e-22 & 7.24107e-23 \tabularnewline
PRH & -0.179839 & 0.440728 & -0.4081 & 0.683552 & 0.341776 \tabularnewline
CH & -0.20493 & 0.439965 & -0.4658 & 0.641734 & 0.320867 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=269831&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]7.08954[/C][C]1.50331[/C][C]4.716[/C][C]3.818e-06[/C][C]1.909e-06[/C][/ROW]
[ROW][C]TOT.AMS[/C][C]-0.0114471[/C][C]0.010595[/C][C]-1.08[/C][C]0.280893[/C][C]0.140447[/C][/ROW]
[ROW][C]NUMERACY[/C][C]0.0326666[/C][C]0.0314163[/C][C]1.04[/C][C]0.29934[/C][C]0.14967[/C][/ROW]
[ROW][C]BA_of_SCH[/C][C]1.51503[/C][C]0.384504[/C][C]3.94[/C][C]0.000103118[/C][C]5.15591e-05[/C][/ROW]
[ROW][C]H[/C][C]0.183531[/C][C]0.43993[/C][C]0.4172[/C][C]0.676868[/C][C]0.338434[/C][/ROW]
[ROW][C]zinvolle_teksten[/C][C]0.0210737[/C][C]0.00538635[/C][C]3.912[/C][C]0.000115033[/C][C]5.75165e-05[/C][/ROW]
[ROW][C]B[/C][C]0.0310855[/C][C]0.00290728[/C][C]10.69[/C][C]1.44821e-22[/C][C]7.24107e-23[/C][/ROW]
[ROW][C]PRH[/C][C]-0.179839[/C][C]0.440728[/C][C]-0.4081[/C][C]0.683552[/C][C]0.341776[/C][/ROW]
[ROW][C]CH[/C][C]-0.20493[/C][C]0.439965[/C][C]-0.4658[/C][C]0.641734[/C][C]0.320867[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=269831&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=269831&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)	7.08954	1.50331	4.716	3.818e-06	1.909e-06
TOT.AMS	-0.0114471	0.010595	-1.08	0.280893	0.140447
NUMERACY	0.0326666	0.0314163	1.04	0.29934	0.14967
BA_of_SCH	1.51503	0.384504	3.94	0.000103118	5.15591e-05
H	0.183531	0.43993	0.4172	0.676868	0.338434
zinvolle_teksten	0.0210737	0.00538635	3.912	0.000115033	5.75165e-05
B	0.0310855	0.00290728	10.69	1.44821e-22	7.24107e-23
PRH	-0.179839	0.440728	-0.4081	0.683552	0.341776
CH	-0.20493	0.439965	-0.4658	0.641734	0.320867

Multiple Linear Regression - Regression Statistics
Multiple R	0.634612
R-squared	0.402732
Adjusted R-squared	0.385482
F-TEST (value)	23.3473
F-TEST (DF numerator)	8
F-TEST (DF denominator)	277
p-value	0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	2.68197
Sum Squared Residuals	1992.45

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.634612 \tabularnewline
R-squared & 0.402732 \tabularnewline
Adjusted R-squared & 0.385482 \tabularnewline
F-TEST (value) & 23.3473 \tabularnewline
F-TEST (DF numerator) & 8 \tabularnewline
F-TEST (DF denominator) & 277 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 2.68197 \tabularnewline
Sum Squared Residuals & 1992.45 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=269831&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.634612[/C][/ROW]
[ROW][C]R-squared[/C][C]0.402732[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.385482[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]23.3473[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]8[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]277[/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]2.68197[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]1992.45[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=269831&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=269831&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	0.634612
R-squared	0.402732
Adjusted R-squared	0.385482
F-TEST (value)	23.3473
F-TEST (DF numerator)	8
F-TEST (DF denominator)	277
p-value	0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation	2.68197
Sum Squared Residuals	1992.45

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	InterpolationForecast	ResidualsPrediction Error
1	12.9	11.6411	1.25893
2	7.4	10.9602	-3.56018
3	12.2	10.8311	1.36888
4	12.8	12.0802	0.719832
5	7.4	11.8143	-4.41432
6	6.7	10.9811	-4.28112
7	12.6	15.4684	-2.8684
8	14.8	12.0089	2.79107
9	13.3	11.2391	2.06093
10	11.1	11.2805	-0.180501
11	8.2	14.1525	-5.95253
12	11.4	12.6659	-1.26586
13	6.4	13.7961	-7.39614
14	10.6	10.6544	-0.0544257
15	12	12.8883	-0.88828
16	6.3	7.93752	-1.63752
17	11.3	11.3978	-0.0978253
18	11.9	13.4422	-1.54217
19	9.3	11.3456	-2.04558
20	9.6	13.1721	-3.57212
21	10	10.0883	-0.0882972
22	6.4	11.0696	-4.66964
23	13.8	12.4669	1.33308
24	10.8	13.47	-2.66996
25	13.8	11.5952	2.20477
26	11.7	12.0462	-0.346165
27	10.9	14.9862	-4.08623
28	16.1	14.2218	1.8782
29	13.4	11.498	1.90196
30	9.9	10.3225	-0.4225
31	11.5	11.4546	0.0453786
32	8.3	10.8244	-2.52441
33	11.7	13.0485	-1.34851
34	6.1	10.9621	-4.86205
35	9	11.7537	-2.75372
36	9.7	14.0414	-4.3414
37	10.8	11.6473	-0.847316
38	10.3	11.9908	-1.69081
39	10.4	10.797	-0.396989
40	12.7	13.5591	-0.859064
41	9.3	11.8001	-2.50008
42	11.8	14.0864	-2.28642
43	5.9	10.0742	-4.17417
44	11.4	13.7689	-2.3689
45	13	11.2824	1.71759
46	10.8	12.3857	-1.58567
47	12.3	10.6331	1.66691
48	11.3	13.2311	-1.93111
49	11.8	11.4287	0.371302
50	7.9	11.1983	-3.29835
51	12.7	8.38732	4.31268
52	12.3	11.5762	0.723764
53	11.6	12.6426	-1.04255
54	6.7	11.0111	-4.31109
55	10.9	12.995	-2.09501
56	12.1	13.6693	-1.56934
57	13.3	12.6958	0.604227
58	10.1	12.8367	-2.73674
59	5.7	12.6438	-6.9438
60	14.3	11.3085	2.99151
61	8	9.3442	-1.3442
62	13.3	12.5075	0.792537
63	9.3	12.2609	-2.96089
64	12.5	11.4289	1.07113
65	7.6	9.70285	-2.10285
66	15.9	13.8867	2.0133
67	9.2	11.2207	-2.02074
68	9.1	10.8689	-1.7689
69	11.1	13.5391	-2.43906
70	13	13.228	-0.228003
71	14.5	12.8949	1.60512
72	12.2	11.6889	0.511053
73	12.3	13.4219	-1.12194
74	11.4	10.6183	0.781701
75	8.8	11.5336	-2.73358
76	14.6	11.3323	3.26766
77	7.3	12.0624	-4.7624
78	12.6	12.1868	0.413165
79	NA	NA	-0.213104
80	13	12.6616	0.338421
81	12.6	13.5662	-0.966201
82	13.2	14.7401	-1.54008
83	9.9	12.6413	-2.74126
84	7.7	8.28876	-0.588763
85	10.5	7.96278	2.53722
86	13.4	14.6465	-1.24652
87	10.9	16.9802	-6.08016
88	4.3	5.53451	-1.23451
89	10.3	10.4134	-0.113354
90	11.8	11.2641	0.535911
91	11.2	10.7563	0.443744
92	11.4	13.3249	-1.92488
93	8.6	7.03234	1.56766
94	13.2	11.2083	1.9917
95	12.6	19.0118	-6.41183
96	5.6	7.45394	-1.85394
97	9.9	13.9429	-4.04291
98	8.8	13.5289	-4.72892
99	7.7	9.60735	-1.90735
100	9	14.9507	-5.95066
101	7.3	7.53268	-0.232676
102	11.4	10.0877	1.31228
103	13.6	16.6524	-3.05238
104	7.9	8.24303	-0.343028
105	10.7	12.3257	-1.62571
106	10.3	12.4934	-2.19344
107	8.3	10.0386	-1.73858
108	9.6	7.53563	2.06437
109	14.2	16.2401	-2.04015
110	8.5	5.79264	2.70736
111	13.5	19.4959	-5.99586
112	4.9	8.58344	-3.68344
113	6.4	7.41729	-1.01729
114	9.6	9.29711	0.30289
115	11.6	11.2454	0.354636
116	11.1	15.3425	-4.24246
117	4.35	3.32229	1.02771
118	12.7	9.2307	3.4693
119	18.1	15.2655	2.83454
120	17.85	17.8849	-0.0348562
121	16.6	14.0644	2.53555
122	12.6	18.7413	-6.14127
123	17.1	13.1624	3.93757
124	19.1	20.5437	-1.44372
125	16.1	12.1659	3.93409
126	13.35	12.6908	0.659231
127	18.4	13.0523	5.34771
128	14.7	18.1627	-3.46272
129	10.6	10.9146	-0.314608
130	12.6	11.3777	1.22226
131	16.2	19.2329	-3.03288
132	13.6	11.3832	2.21676
133	18.9	16.5704	2.32956
134	14.1	11.024	3.07599
135	14.5	16.1046	-1.60464
136	16.15	13.9356	2.21441
137	14.75	13.0548	1.69519
138	14.8	13.7836	1.01635
139	12.45	13.4168	-0.966774
140	12.65	8.75572	3.89428
141	17.35	19.2277	-1.87774
142	8.6	7.50928	1.09072
143	18.4	19.8561	-1.45608
144	16.1	16.0523	0.0476915
145	11.6	5.58528	6.01472
146	17.75	14.751	2.99902
147	15.25	13.4427	1.80728
148	17.65	15.3327	2.31732
149	15.6	13.7736	1.82636
150	16.35	13.3133	3.03673
151	17.65	16.0527	1.59733
152	13.6	13.5091	0.0909472
153	11.7	9.90614	1.79386
154	14.35	17.0079	-2.65795
155	14.75	13.2621	1.48785
156	18.25	23.1897	-4.93967
157	9.9	7.03934	2.86066
158	16	13.4753	2.52466
159	18.25	19.2506	-1.0006
160	16.85	15.2005	1.64946
161	14.6	14.8259	-0.225916
162	13.85	10.8902	2.95979
163	18.95	17.2946	1.6554
164	15.6	19.1144	-3.51444
165	14.85	16.1064	-1.25637
166	11.75	6.86848	4.88152
167	18.45	20.8173	-2.36728
168	15.9	12.8729	3.02714
169	17.1	9.98663	7.11337
170	16.1	12.316	3.78397
171	19.9	19.6608	0.239219
172	10.95	9.26349	1.68651
173	18.45	14.5745	3.87551
174	15.1	16.3361	-1.2361
175	15	17.9812	-2.98125
176	11.35	10.9919	0.358105
177	15.95	11.7868	4.16319
178	18.1	17.3125	0.787507
179	14.6	15.4528	-0.852804
180	15.4	16.2299	-0.82991
181	15.4	11.7802	3.61983
182	17.6	17.4037	0.196335
183	13.35	11.1121	2.23793
184	19.1	17.7232	1.37681
185	15.35	18.6917	-3.34166
186	7.6	8.45899	-0.858994
187	13.4	14.1888	-0.788807
188	13.9	11.9443	1.95566
189	19.1	17.9786	1.12137
190	15.25	15.5799	-0.32991
191	12.9	11.3292	1.57075
192	16.1	11.827	4.27299
193	17.35	17.1318	0.218182
194	13.15	11.5726	1.57743
195	12.15	12.1856	-0.0355589
196	12.6	14.1923	-1.5923
197	10.35	7.616	2.734
198	15.4	16.7752	-1.37524
199	9.6	4.94324	4.65676
200	18.2	17.1946	1.00536
201	13.6	14.3642	-0.764173
202	14.85	17.0366	-2.18661
203	14.75	14.7972	-0.047247
204	14.1	10.9625	3.1375
205	14.9	11.8439	3.0561
206	16.25	15.7402	0.50981
207	19.25	17.9562	1.2938
208	13.6	12.5881	1.01193
209	13.6	14.1595	-0.559488
210	15.65	14.5486	1.10141
211	12.75	9.55895	3.19105
212	14.6	16.3954	-1.79538
213	9.85	8.78549	1.06451
214	12.65	13.1343	-0.484306
215	11.9	9.35839	2.54161
216	19.2	17.3876	1.81245
217	16.6	15.1395	1.46051
218	11.2	8.87498	2.32502
219	15.25	17.2063	-1.95626
220	11.9	15.2899	-3.38987
221	13.2	13.7801	-0.580087
222	16.35	16.3968	-0.0467789
223	12.4	10.098	2.30204
224	15.85	14.9707	0.879253
225	14.35	11.2285	3.12147
226	18.15	18.559	-0.409007
227	11.15	12.3642	-1.21424
228	15.65	13.7727	1.87731
229	17.75	22.254	-4.50396
230	7.65	7.02758	0.62242
231	12.35	7.58468	4.76532
232	15.6	12.4852	3.11477
233	19.3	16.2143	3.08573
234	15.2	11.0186	4.18144
235	17.1	14.7013	2.39872
236	15.6	11.1253	4.47471
237	18.4	14.2105	4.18948
238	19.05	12.9752	6.07476
239	18.55	15.948	2.60203
240	19.1	17.9969	1.10311
241	13.1	13.2469	-0.146933
242	12.85	13.3397	-0.489667
243	9.5	14.923	-5.42301
244	4.5	3.18381	1.31619
245	11.85	13.5092	-1.65918
246	13.6	14.0557	-0.455703
247	11.7	10.7273	0.972714
248	12.4	13.013	-0.613011
249	13.35	15.8088	-2.45877
250	11.4	8.60518	2.79482
251	14.9	11.0473	3.85265
252	19.9	13.6006	6.29937
253	17.75	19.3236	-1.57362
254	11.2	12.8229	-1.6229
255	14.6	12.754	1.846
256	17.6	15.6734	1.92655
257	14.05	12.4859	1.56414
258	16.1	15.1342	0.965794
259	13.35	13.3827	-0.0326691
260	11.85	13.0589	-1.20889
261	11.95	12.5178	-0.567755
262	14.75	13.1067	1.64328
263	15.15	15.7997	-0.649654
264	13.2	12.7851	0.414893
265	16.85	19.1377	-2.2877
266	7.85	14.0475	-6.19755
267	7.7	6.47527	1.22473
268	12.6	16.7121	-4.11212
269	7.85	7.78249	0.0675121
270	10.95	11.0396	-0.0895841
271	12.35	15.4128	-3.06277
272	9.95	7.09795	2.85205
273	14.9	13.6337	1.26627
274	16.65	16.6598	-0.00975863
275	13.4	13.8801	-0.480063
276	13.95	9.65054	4.29946
277	15.7	11.8429	3.85715
278	16.85	16.1484	0.701562
279	10.95	7.82308	3.12692
280	15.35	14.6681	0.681857
281	12.2	10.9118	1.28819
282	15.1	14.4642	0.635779
283	17.75	15.6629	2.0871
284	15.2	13.5924	1.60756
285	14.6	13.2724	1.32756
286	16.65	19.463	-2.81295
287	8.1	NA	NA

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 12.9 & 11.6411 & 1.25893 \tabularnewline
2 & 7.4 & 10.9602 & -3.56018 \tabularnewline
3 & 12.2 & 10.8311 & 1.36888 \tabularnewline
4 & 12.8 & 12.0802 & 0.719832 \tabularnewline
5 & 7.4 & 11.8143 & -4.41432 \tabularnewline
6 & 6.7 & 10.9811 & -4.28112 \tabularnewline
7 & 12.6 & 15.4684 & -2.8684 \tabularnewline
8 & 14.8 & 12.0089 & 2.79107 \tabularnewline
9 & 13.3 & 11.2391 & 2.06093 \tabularnewline
10 & 11.1 & 11.2805 & -0.180501 \tabularnewline
11 & 8.2 & 14.1525 & -5.95253 \tabularnewline
12 & 11.4 & 12.6659 & -1.26586 \tabularnewline
13 & 6.4 & 13.7961 & -7.39614 \tabularnewline
14 & 10.6 & 10.6544 & -0.0544257 \tabularnewline
15 & 12 & 12.8883 & -0.88828 \tabularnewline
16 & 6.3 & 7.93752 & -1.63752 \tabularnewline
17 & 11.3 & 11.3978 & -0.0978253 \tabularnewline
18 & 11.9 & 13.4422 & -1.54217 \tabularnewline
19 & 9.3 & 11.3456 & -2.04558 \tabularnewline
20 & 9.6 & 13.1721 & -3.57212 \tabularnewline
21 & 10 & 10.0883 & -0.0882972 \tabularnewline
22 & 6.4 & 11.0696 & -4.66964 \tabularnewline
23 & 13.8 & 12.4669 & 1.33308 \tabularnewline
24 & 10.8 & 13.47 & -2.66996 \tabularnewline
25 & 13.8 & 11.5952 & 2.20477 \tabularnewline
26 & 11.7 & 12.0462 & -0.346165 \tabularnewline
27 & 10.9 & 14.9862 & -4.08623 \tabularnewline
28 & 16.1 & 14.2218 & 1.8782 \tabularnewline
29 & 13.4 & 11.498 & 1.90196 \tabularnewline
30 & 9.9 & 10.3225 & -0.4225 \tabularnewline
31 & 11.5 & 11.4546 & 0.0453786 \tabularnewline
32 & 8.3 & 10.8244 & -2.52441 \tabularnewline
33 & 11.7 & 13.0485 & -1.34851 \tabularnewline
34 & 6.1 & 10.9621 & -4.86205 \tabularnewline
35 & 9 & 11.7537 & -2.75372 \tabularnewline
36 & 9.7 & 14.0414 & -4.3414 \tabularnewline
37 & 10.8 & 11.6473 & -0.847316 \tabularnewline
38 & 10.3 & 11.9908 & -1.69081 \tabularnewline
39 & 10.4 & 10.797 & -0.396989 \tabularnewline
40 & 12.7 & 13.5591 & -0.859064 \tabularnewline
41 & 9.3 & 11.8001 & -2.50008 \tabularnewline
42 & 11.8 & 14.0864 & -2.28642 \tabularnewline
43 & 5.9 & 10.0742 & -4.17417 \tabularnewline
44 & 11.4 & 13.7689 & -2.3689 \tabularnewline
45 & 13 & 11.2824 & 1.71759 \tabularnewline
46 & 10.8 & 12.3857 & -1.58567 \tabularnewline
47 & 12.3 & 10.6331 & 1.66691 \tabularnewline
48 & 11.3 & 13.2311 & -1.93111 \tabularnewline
49 & 11.8 & 11.4287 & 0.371302 \tabularnewline
50 & 7.9 & 11.1983 & -3.29835 \tabularnewline
51 & 12.7 & 8.38732 & 4.31268 \tabularnewline
52 & 12.3 & 11.5762 & 0.723764 \tabularnewline
53 & 11.6 & 12.6426 & -1.04255 \tabularnewline
54 & 6.7 & 11.0111 & -4.31109 \tabularnewline
55 & 10.9 & 12.995 & -2.09501 \tabularnewline
56 & 12.1 & 13.6693 & -1.56934 \tabularnewline
57 & 13.3 & 12.6958 & 0.604227 \tabularnewline
58 & 10.1 & 12.8367 & -2.73674 \tabularnewline
59 & 5.7 & 12.6438 & -6.9438 \tabularnewline
60 & 14.3 & 11.3085 & 2.99151 \tabularnewline
61 & 8 & 9.3442 & -1.3442 \tabularnewline
62 & 13.3 & 12.5075 & 0.792537 \tabularnewline
63 & 9.3 & 12.2609 & -2.96089 \tabularnewline
64 & 12.5 & 11.4289 & 1.07113 \tabularnewline
65 & 7.6 & 9.70285 & -2.10285 \tabularnewline
66 & 15.9 & 13.8867 & 2.0133 \tabularnewline
67 & 9.2 & 11.2207 & -2.02074 \tabularnewline
68 & 9.1 & 10.8689 & -1.7689 \tabularnewline
69 & 11.1 & 13.5391 & -2.43906 \tabularnewline
70 & 13 & 13.228 & -0.228003 \tabularnewline
71 & 14.5 & 12.8949 & 1.60512 \tabularnewline
72 & 12.2 & 11.6889 & 0.511053 \tabularnewline
73 & 12.3 & 13.4219 & -1.12194 \tabularnewline
74 & 11.4 & 10.6183 & 0.781701 \tabularnewline
75 & 8.8 & 11.5336 & -2.73358 \tabularnewline
76 & 14.6 & 11.3323 & 3.26766 \tabularnewline
77 & 7.3 & 12.0624 & -4.7624 \tabularnewline
78 & 12.6 & 12.1868 & 0.413165 \tabularnewline
79 & NA & NA & -0.213104 \tabularnewline
80 & 13 & 12.6616 & 0.338421 \tabularnewline
81 & 12.6 & 13.5662 & -0.966201 \tabularnewline
82 & 13.2 & 14.7401 & -1.54008 \tabularnewline
83 & 9.9 & 12.6413 & -2.74126 \tabularnewline
84 & 7.7 & 8.28876 & -0.588763 \tabularnewline
85 & 10.5 & 7.96278 & 2.53722 \tabularnewline
86 & 13.4 & 14.6465 & -1.24652 \tabularnewline
87 & 10.9 & 16.9802 & -6.08016 \tabularnewline
88 & 4.3 & 5.53451 & -1.23451 \tabularnewline
89 & 10.3 & 10.4134 & -0.113354 \tabularnewline
90 & 11.8 & 11.2641 & 0.535911 \tabularnewline
91 & 11.2 & 10.7563 & 0.443744 \tabularnewline
92 & 11.4 & 13.3249 & -1.92488 \tabularnewline
93 & 8.6 & 7.03234 & 1.56766 \tabularnewline
94 & 13.2 & 11.2083 & 1.9917 \tabularnewline
95 & 12.6 & 19.0118 & -6.41183 \tabularnewline
96 & 5.6 & 7.45394 & -1.85394 \tabularnewline
97 & 9.9 & 13.9429 & -4.04291 \tabularnewline
98 & 8.8 & 13.5289 & -4.72892 \tabularnewline
99 & 7.7 & 9.60735 & -1.90735 \tabularnewline
100 & 9 & 14.9507 & -5.95066 \tabularnewline
101 & 7.3 & 7.53268 & -0.232676 \tabularnewline
102 & 11.4 & 10.0877 & 1.31228 \tabularnewline
103 & 13.6 & 16.6524 & -3.05238 \tabularnewline
104 & 7.9 & 8.24303 & -0.343028 \tabularnewline
105 & 10.7 & 12.3257 & -1.62571 \tabularnewline
106 & 10.3 & 12.4934 & -2.19344 \tabularnewline
107 & 8.3 & 10.0386 & -1.73858 \tabularnewline
108 & 9.6 & 7.53563 & 2.06437 \tabularnewline
109 & 14.2 & 16.2401 & -2.04015 \tabularnewline
110 & 8.5 & 5.79264 & 2.70736 \tabularnewline
111 & 13.5 & 19.4959 & -5.99586 \tabularnewline
112 & 4.9 & 8.58344 & -3.68344 \tabularnewline
113 & 6.4 & 7.41729 & -1.01729 \tabularnewline
114 & 9.6 & 9.29711 & 0.30289 \tabularnewline
115 & 11.6 & 11.2454 & 0.354636 \tabularnewline
116 & 11.1 & 15.3425 & -4.24246 \tabularnewline
117 & 4.35 & 3.32229 & 1.02771 \tabularnewline
118 & 12.7 & 9.2307 & 3.4693 \tabularnewline
119 & 18.1 & 15.2655 & 2.83454 \tabularnewline
120 & 17.85 & 17.8849 & -0.0348562 \tabularnewline
121 & 16.6 & 14.0644 & 2.53555 \tabularnewline
122 & 12.6 & 18.7413 & -6.14127 \tabularnewline
123 & 17.1 & 13.1624 & 3.93757 \tabularnewline
124 & 19.1 & 20.5437 & -1.44372 \tabularnewline
125 & 16.1 & 12.1659 & 3.93409 \tabularnewline
126 & 13.35 & 12.6908 & 0.659231 \tabularnewline
127 & 18.4 & 13.0523 & 5.34771 \tabularnewline
128 & 14.7 & 18.1627 & -3.46272 \tabularnewline
129 & 10.6 & 10.9146 & -0.314608 \tabularnewline
130 & 12.6 & 11.3777 & 1.22226 \tabularnewline
131 & 16.2 & 19.2329 & -3.03288 \tabularnewline
132 & 13.6 & 11.3832 & 2.21676 \tabularnewline
133 & 18.9 & 16.5704 & 2.32956 \tabularnewline
134 & 14.1 & 11.024 & 3.07599 \tabularnewline
135 & 14.5 & 16.1046 & -1.60464 \tabularnewline
136 & 16.15 & 13.9356 & 2.21441 \tabularnewline
137 & 14.75 & 13.0548 & 1.69519 \tabularnewline
138 & 14.8 & 13.7836 & 1.01635 \tabularnewline
139 & 12.45 & 13.4168 & -0.966774 \tabularnewline
140 & 12.65 & 8.75572 & 3.89428 \tabularnewline
141 & 17.35 & 19.2277 & -1.87774 \tabularnewline
142 & 8.6 & 7.50928 & 1.09072 \tabularnewline
143 & 18.4 & 19.8561 & -1.45608 \tabularnewline
144 & 16.1 & 16.0523 & 0.0476915 \tabularnewline
145 & 11.6 & 5.58528 & 6.01472 \tabularnewline
146 & 17.75 & 14.751 & 2.99902 \tabularnewline
147 & 15.25 & 13.4427 & 1.80728 \tabularnewline
148 & 17.65 & 15.3327 & 2.31732 \tabularnewline
149 & 15.6 & 13.7736 & 1.82636 \tabularnewline
150 & 16.35 & 13.3133 & 3.03673 \tabularnewline
151 & 17.65 & 16.0527 & 1.59733 \tabularnewline
152 & 13.6 & 13.5091 & 0.0909472 \tabularnewline
153 & 11.7 & 9.90614 & 1.79386 \tabularnewline
154 & 14.35 & 17.0079 & -2.65795 \tabularnewline
155 & 14.75 & 13.2621 & 1.48785 \tabularnewline
156 & 18.25 & 23.1897 & -4.93967 \tabularnewline
157 & 9.9 & 7.03934 & 2.86066 \tabularnewline
158 & 16 & 13.4753 & 2.52466 \tabularnewline
159 & 18.25 & 19.2506 & -1.0006 \tabularnewline
160 & 16.85 & 15.2005 & 1.64946 \tabularnewline
161 & 14.6 & 14.8259 & -0.225916 \tabularnewline
162 & 13.85 & 10.8902 & 2.95979 \tabularnewline
163 & 18.95 & 17.2946 & 1.6554 \tabularnewline
164 & 15.6 & 19.1144 & -3.51444 \tabularnewline
165 & 14.85 & 16.1064 & -1.25637 \tabularnewline
166 & 11.75 & 6.86848 & 4.88152 \tabularnewline
167 & 18.45 & 20.8173 & -2.36728 \tabularnewline
168 & 15.9 & 12.8729 & 3.02714 \tabularnewline
169 & 17.1 & 9.98663 & 7.11337 \tabularnewline
170 & 16.1 & 12.316 & 3.78397 \tabularnewline
171 & 19.9 & 19.6608 & 0.239219 \tabularnewline
172 & 10.95 & 9.26349 & 1.68651 \tabularnewline
173 & 18.45 & 14.5745 & 3.87551 \tabularnewline
174 & 15.1 & 16.3361 & -1.2361 \tabularnewline
175 & 15 & 17.9812 & -2.98125 \tabularnewline
176 & 11.35 & 10.9919 & 0.358105 \tabularnewline
177 & 15.95 & 11.7868 & 4.16319 \tabularnewline
178 & 18.1 & 17.3125 & 0.787507 \tabularnewline
179 & 14.6 & 15.4528 & -0.852804 \tabularnewline
180 & 15.4 & 16.2299 & -0.82991 \tabularnewline
181 & 15.4 & 11.7802 & 3.61983 \tabularnewline
182 & 17.6 & 17.4037 & 0.196335 \tabularnewline
183 & 13.35 & 11.1121 & 2.23793 \tabularnewline
184 & 19.1 & 17.7232 & 1.37681 \tabularnewline
185 & 15.35 & 18.6917 & -3.34166 \tabularnewline
186 & 7.6 & 8.45899 & -0.858994 \tabularnewline
187 & 13.4 & 14.1888 & -0.788807 \tabularnewline
188 & 13.9 & 11.9443 & 1.95566 \tabularnewline
189 & 19.1 & 17.9786 & 1.12137 \tabularnewline
190 & 15.25 & 15.5799 & -0.32991 \tabularnewline
191 & 12.9 & 11.3292 & 1.57075 \tabularnewline
192 & 16.1 & 11.827 & 4.27299 \tabularnewline
193 & 17.35 & 17.1318 & 0.218182 \tabularnewline
194 & 13.15 & 11.5726 & 1.57743 \tabularnewline
195 & 12.15 & 12.1856 & -0.0355589 \tabularnewline
196 & 12.6 & 14.1923 & -1.5923 \tabularnewline
197 & 10.35 & 7.616 & 2.734 \tabularnewline
198 & 15.4 & 16.7752 & -1.37524 \tabularnewline
199 & 9.6 & 4.94324 & 4.65676 \tabularnewline
200 & 18.2 & 17.1946 & 1.00536 \tabularnewline
201 & 13.6 & 14.3642 & -0.764173 \tabularnewline
202 & 14.85 & 17.0366 & -2.18661 \tabularnewline
203 & 14.75 & 14.7972 & -0.047247 \tabularnewline
204 & 14.1 & 10.9625 & 3.1375 \tabularnewline
205 & 14.9 & 11.8439 & 3.0561 \tabularnewline
206 & 16.25 & 15.7402 & 0.50981 \tabularnewline
207 & 19.25 & 17.9562 & 1.2938 \tabularnewline
208 & 13.6 & 12.5881 & 1.01193 \tabularnewline
209 & 13.6 & 14.1595 & -0.559488 \tabularnewline
210 & 15.65 & 14.5486 & 1.10141 \tabularnewline
211 & 12.75 & 9.55895 & 3.19105 \tabularnewline
212 & 14.6 & 16.3954 & -1.79538 \tabularnewline
213 & 9.85 & 8.78549 & 1.06451 \tabularnewline
214 & 12.65 & 13.1343 & -0.484306 \tabularnewline
215 & 11.9 & 9.35839 & 2.54161 \tabularnewline
216 & 19.2 & 17.3876 & 1.81245 \tabularnewline
217 & 16.6 & 15.1395 & 1.46051 \tabularnewline
218 & 11.2 & 8.87498 & 2.32502 \tabularnewline
219 & 15.25 & 17.2063 & -1.95626 \tabularnewline
220 & 11.9 & 15.2899 & -3.38987 \tabularnewline
221 & 13.2 & 13.7801 & -0.580087 \tabularnewline
222 & 16.35 & 16.3968 & -0.0467789 \tabularnewline
223 & 12.4 & 10.098 & 2.30204 \tabularnewline
224 & 15.85 & 14.9707 & 0.879253 \tabularnewline
225 & 14.35 & 11.2285 & 3.12147 \tabularnewline
226 & 18.15 & 18.559 & -0.409007 \tabularnewline
227 & 11.15 & 12.3642 & -1.21424 \tabularnewline
228 & 15.65 & 13.7727 & 1.87731 \tabularnewline
229 & 17.75 & 22.254 & -4.50396 \tabularnewline
230 & 7.65 & 7.02758 & 0.62242 \tabularnewline
231 & 12.35 & 7.58468 & 4.76532 \tabularnewline
232 & 15.6 & 12.4852 & 3.11477 \tabularnewline
233 & 19.3 & 16.2143 & 3.08573 \tabularnewline
234 & 15.2 & 11.0186 & 4.18144 \tabularnewline
235 & 17.1 & 14.7013 & 2.39872 \tabularnewline
236 & 15.6 & 11.1253 & 4.47471 \tabularnewline
237 & 18.4 & 14.2105 & 4.18948 \tabularnewline
238 & 19.05 & 12.9752 & 6.07476 \tabularnewline
239 & 18.55 & 15.948 & 2.60203 \tabularnewline
240 & 19.1 & 17.9969 & 1.10311 \tabularnewline
241 & 13.1 & 13.2469 & -0.146933 \tabularnewline
242 & 12.85 & 13.3397 & -0.489667 \tabularnewline
243 & 9.5 & 14.923 & -5.42301 \tabularnewline
244 & 4.5 & 3.18381 & 1.31619 \tabularnewline
245 & 11.85 & 13.5092 & -1.65918 \tabularnewline
246 & 13.6 & 14.0557 & -0.455703 \tabularnewline
247 & 11.7 & 10.7273 & 0.972714 \tabularnewline
248 & 12.4 & 13.013 & -0.613011 \tabularnewline
249 & 13.35 & 15.8088 & -2.45877 \tabularnewline
250 & 11.4 & 8.60518 & 2.79482 \tabularnewline
251 & 14.9 & 11.0473 & 3.85265 \tabularnewline
252 & 19.9 & 13.6006 & 6.29937 \tabularnewline
253 & 17.75 & 19.3236 & -1.57362 \tabularnewline
254 & 11.2 & 12.8229 & -1.6229 \tabularnewline
255 & 14.6 & 12.754 & 1.846 \tabularnewline
256 & 17.6 & 15.6734 & 1.92655 \tabularnewline
257 & 14.05 & 12.4859 & 1.56414 \tabularnewline
258 & 16.1 & 15.1342 & 0.965794 \tabularnewline
259 & 13.35 & 13.3827 & -0.0326691 \tabularnewline
260 & 11.85 & 13.0589 & -1.20889 \tabularnewline
261 & 11.95 & 12.5178 & -0.567755 \tabularnewline
262 & 14.75 & 13.1067 & 1.64328 \tabularnewline
263 & 15.15 & 15.7997 & -0.649654 \tabularnewline
264 & 13.2 & 12.7851 & 0.414893 \tabularnewline
265 & 16.85 & 19.1377 & -2.2877 \tabularnewline
266 & 7.85 & 14.0475 & -6.19755 \tabularnewline
267 & 7.7 & 6.47527 & 1.22473 \tabularnewline
268 & 12.6 & 16.7121 & -4.11212 \tabularnewline
269 & 7.85 & 7.78249 & 0.0675121 \tabularnewline
270 & 10.95 & 11.0396 & -0.0895841 \tabularnewline
271 & 12.35 & 15.4128 & -3.06277 \tabularnewline
272 & 9.95 & 7.09795 & 2.85205 \tabularnewline
273 & 14.9 & 13.6337 & 1.26627 \tabularnewline
274 & 16.65 & 16.6598 & -0.00975863 \tabularnewline
275 & 13.4 & 13.8801 & -0.480063 \tabularnewline
276 & 13.95 & 9.65054 & 4.29946 \tabularnewline
277 & 15.7 & 11.8429 & 3.85715 \tabularnewline
278 & 16.85 & 16.1484 & 0.701562 \tabularnewline
279 & 10.95 & 7.82308 & 3.12692 \tabularnewline
280 & 15.35 & 14.6681 & 0.681857 \tabularnewline
281 & 12.2 & 10.9118 & 1.28819 \tabularnewline
282 & 15.1 & 14.4642 & 0.635779 \tabularnewline
283 & 17.75 & 15.6629 & 2.0871 \tabularnewline
284 & 15.2 & 13.5924 & 1.60756 \tabularnewline
285 & 14.6 & 13.2724 & 1.32756 \tabularnewline
286 & 16.65 & 19.463 & -2.81295 \tabularnewline
287 & 8.1 & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=269831&T=4

[TABLE]
[ROW][C]Multiple Linear Regression - Actuals, Interpolation, and Residuals[/C][/ROW]
[ROW][C]Time or Index[/C][C]Actuals[/C][C]InterpolationForecast[/C][C]ResidualsPrediction Error[/C][/ROW]
[ROW][C]1[/C][C]12.9[/C][C]11.6411[/C][C]1.25893[/C][/ROW]
[ROW][C]2[/C][C]7.4[/C][C]10.9602[/C][C]-3.56018[/C][/ROW]
[ROW][C]3[/C][C]12.2[/C][C]10.8311[/C][C]1.36888[/C][/ROW]
[ROW][C]4[/C][C]12.8[/C][C]12.0802[/C][C]0.719832[/C][/ROW]
[ROW][C]5[/C][C]7.4[/C][C]11.8143[/C][C]-4.41432[/C][/ROW]
[ROW][C]6[/C][C]6.7[/C][C]10.9811[/C][C]-4.28112[/C][/ROW]
[ROW][C]7[/C][C]12.6[/C][C]15.4684[/C][C]-2.8684[/C][/ROW]
[ROW][C]8[/C][C]14.8[/C][C]12.0089[/C][C]2.79107[/C][/ROW]
[ROW][C]9[/C][C]13.3[/C][C]11.2391[/C][C]2.06093[/C][/ROW]
[ROW][C]10[/C][C]11.1[/C][C]11.2805[/C][C]-0.180501[/C][/ROW]
[ROW][C]11[/C][C]8.2[/C][C]14.1525[/C][C]-5.95253[/C][/ROW]
[ROW][C]12[/C][C]11.4[/C][C]12.6659[/C][C]-1.26586[/C][/ROW]
[ROW][C]13[/C][C]6.4[/C][C]13.7961[/C][C]-7.39614[/C][/ROW]
[ROW][C]14[/C][C]10.6[/C][C]10.6544[/C][C]-0.0544257[/C][/ROW]
[ROW][C]15[/C][C]12[/C][C]12.8883[/C][C]-0.88828[/C][/ROW]
[ROW][C]16[/C][C]6.3[/C][C]7.93752[/C][C]-1.63752[/C][/ROW]
[ROW][C]17[/C][C]11.3[/C][C]11.3978[/C][C]-0.0978253[/C][/ROW]
[ROW][C]18[/C][C]11.9[/C][C]13.4422[/C][C]-1.54217[/C][/ROW]
[ROW][C]19[/C][C]9.3[/C][C]11.3456[/C][C]-2.04558[/C][/ROW]
[ROW][C]20[/C][C]9.6[/C][C]13.1721[/C][C]-3.57212[/C][/ROW]
[ROW][C]21[/C][C]10[/C][C]10.0883[/C][C]-0.0882972[/C][/ROW]
[ROW][C]22[/C][C]6.4[/C][C]11.0696[/C][C]-4.66964[/C][/ROW]
[ROW][C]23[/C][C]13.8[/C][C]12.4669[/C][C]1.33308[/C][/ROW]
[ROW][C]24[/C][C]10.8[/C][C]13.47[/C][C]-2.66996[/C][/ROW]
[ROW][C]25[/C][C]13.8[/C][C]11.5952[/C][C]2.20477[/C][/ROW]
[ROW][C]26[/C][C]11.7[/C][C]12.0462[/C][C]-0.346165[/C][/ROW]
[ROW][C]27[/C][C]10.9[/C][C]14.9862[/C][C]-4.08623[/C][/ROW]
[ROW][C]28[/C][C]16.1[/C][C]14.2218[/C][C]1.8782[/C][/ROW]
[ROW][C]29[/C][C]13.4[/C][C]11.498[/C][C]1.90196[/C][/ROW]
[ROW][C]30[/C][C]9.9[/C][C]10.3225[/C][C]-0.4225[/C][/ROW]
[ROW][C]31[/C][C]11.5[/C][C]11.4546[/C][C]0.0453786[/C][/ROW]
[ROW][C]32[/C][C]8.3[/C][C]10.8244[/C][C]-2.52441[/C][/ROW]
[ROW][C]33[/C][C]11.7[/C][C]13.0485[/C][C]-1.34851[/C][/ROW]
[ROW][C]34[/C][C]6.1[/C][C]10.9621[/C][C]-4.86205[/C][/ROW]
[ROW][C]35[/C][C]9[/C][C]11.7537[/C][C]-2.75372[/C][/ROW]
[ROW][C]36[/C][C]9.7[/C][C]14.0414[/C][C]-4.3414[/C][/ROW]
[ROW][C]37[/C][C]10.8[/C][C]11.6473[/C][C]-0.847316[/C][/ROW]
[ROW][C]38[/C][C]10.3[/C][C]11.9908[/C][C]-1.69081[/C][/ROW]
[ROW][C]39[/C][C]10.4[/C][C]10.797[/C][C]-0.396989[/C][/ROW]
[ROW][C]40[/C][C]12.7[/C][C]13.5591[/C][C]-0.859064[/C][/ROW]
[ROW][C]41[/C][C]9.3[/C][C]11.8001[/C][C]-2.50008[/C][/ROW]
[ROW][C]42[/C][C]11.8[/C][C]14.0864[/C][C]-2.28642[/C][/ROW]
[ROW][C]43[/C][C]5.9[/C][C]10.0742[/C][C]-4.17417[/C][/ROW]
[ROW][C]44[/C][C]11.4[/C][C]13.7689[/C][C]-2.3689[/C][/ROW]
[ROW][C]45[/C][C]13[/C][C]11.2824[/C][C]1.71759[/C][/ROW]
[ROW][C]46[/C][C]10.8[/C][C]12.3857[/C][C]-1.58567[/C][/ROW]
[ROW][C]47[/C][C]12.3[/C][C]10.6331[/C][C]1.66691[/C][/ROW]
[ROW][C]48[/C][C]11.3[/C][C]13.2311[/C][C]-1.93111[/C][/ROW]
[ROW][C]49[/C][C]11.8[/C][C]11.4287[/C][C]0.371302[/C][/ROW]
[ROW][C]50[/C][C]7.9[/C][C]11.1983[/C][C]-3.29835[/C][/ROW]
[ROW][C]51[/C][C]12.7[/C][C]8.38732[/C][C]4.31268[/C][/ROW]
[ROW][C]52[/C][C]12.3[/C][C]11.5762[/C][C]0.723764[/C][/ROW]
[ROW][C]53[/C][C]11.6[/C][C]12.6426[/C][C]-1.04255[/C][/ROW]
[ROW][C]54[/C][C]6.7[/C][C]11.0111[/C][C]-4.31109[/C][/ROW]
[ROW][C]55[/C][C]10.9[/C][C]12.995[/C][C]-2.09501[/C][/ROW]
[ROW][C]56[/C][C]12.1[/C][C]13.6693[/C][C]-1.56934[/C][/ROW]
[ROW][C]57[/C][C]13.3[/C][C]12.6958[/C][C]0.604227[/C][/ROW]
[ROW][C]58[/C][C]10.1[/C][C]12.8367[/C][C]-2.73674[/C][/ROW]
[ROW][C]59[/C][C]5.7[/C][C]12.6438[/C][C]-6.9438[/C][/ROW]
[ROW][C]60[/C][C]14.3[/C][C]11.3085[/C][C]2.99151[/C][/ROW]
[ROW][C]61[/C][C]8[/C][C]9.3442[/C][C]-1.3442[/C][/ROW]
[ROW][C]62[/C][C]13.3[/C][C]12.5075[/C][C]0.792537[/C][/ROW]
[ROW][C]63[/C][C]9.3[/C][C]12.2609[/C][C]-2.96089[/C][/ROW]
[ROW][C]64[/C][C]12.5[/C][C]11.4289[/C][C]1.07113[/C][/ROW]
[ROW][C]65[/C][C]7.6[/C][C]9.70285[/C][C]-2.10285[/C][/ROW]
[ROW][C]66[/C][C]15.9[/C][C]13.8867[/C][C]2.0133[/C][/ROW]
[ROW][C]67[/C][C]9.2[/C][C]11.2207[/C][C]-2.02074[/C][/ROW]
[ROW][C]68[/C][C]9.1[/C][C]10.8689[/C][C]-1.7689[/C][/ROW]
[ROW][C]69[/C][C]11.1[/C][C]13.5391[/C][C]-2.43906[/C][/ROW]
[ROW][C]70[/C][C]13[/C][C]13.228[/C][C]-0.228003[/C][/ROW]
[ROW][C]71[/C][C]14.5[/C][C]12.8949[/C][C]1.60512[/C][/ROW]
[ROW][C]72[/C][C]12.2[/C][C]11.6889[/C][C]0.511053[/C][/ROW]
[ROW][C]73[/C][C]12.3[/C][C]13.4219[/C][C]-1.12194[/C][/ROW]
[ROW][C]74[/C][C]11.4[/C][C]10.6183[/C][C]0.781701[/C][/ROW]
[ROW][C]75[/C][C]8.8[/C][C]11.5336[/C][C]-2.73358[/C][/ROW]
[ROW][C]76[/C][C]14.6[/C][C]11.3323[/C][C]3.26766[/C][/ROW]
[ROW][C]77[/C][C]7.3[/C][C]12.0624[/C][C]-4.7624[/C][/ROW]
[ROW][C]78[/C][C]12.6[/C][C]12.1868[/C][C]0.413165[/C][/ROW]
[ROW][C]79[/C][C]NA[/C][C]NA[/C][C]-0.213104[/C][/ROW]
[ROW][C]80[/C][C]13[/C][C]12.6616[/C][C]0.338421[/C][/ROW]
[ROW][C]81[/C][C]12.6[/C][C]13.5662[/C][C]-0.966201[/C][/ROW]
[ROW][C]82[/C][C]13.2[/C][C]14.7401[/C][C]-1.54008[/C][/ROW]
[ROW][C]83[/C][C]9.9[/C][C]12.6413[/C][C]-2.74126[/C][/ROW]
[ROW][C]84[/C][C]7.7[/C][C]8.28876[/C][C]-0.588763[/C][/ROW]
[ROW][C]85[/C][C]10.5[/C][C]7.96278[/C][C]2.53722[/C][/ROW]
[ROW][C]86[/C][C]13.4[/C][C]14.6465[/C][C]-1.24652[/C][/ROW]
[ROW][C]87[/C][C]10.9[/C][C]16.9802[/C][C]-6.08016[/C][/ROW]
[ROW][C]88[/C][C]4.3[/C][C]5.53451[/C][C]-1.23451[/C][/ROW]
[ROW][C]89[/C][C]10.3[/C][C]10.4134[/C][C]-0.113354[/C][/ROW]
[ROW][C]90[/C][C]11.8[/C][C]11.2641[/C][C]0.535911[/C][/ROW]
[ROW][C]91[/C][C]11.2[/C][C]10.7563[/C][C]0.443744[/C][/ROW]
[ROW][C]92[/C][C]11.4[/C][C]13.3249[/C][C]-1.92488[/C][/ROW]
[ROW][C]93[/C][C]8.6[/C][C]7.03234[/C][C]1.56766[/C][/ROW]
[ROW][C]94[/C][C]13.2[/C][C]11.2083[/C][C]1.9917[/C][/ROW]
[ROW][C]95[/C][C]12.6[/C][C]19.0118[/C][C]-6.41183[/C][/ROW]
[ROW][C]96[/C][C]5.6[/C][C]7.45394[/C][C]-1.85394[/C][/ROW]
[ROW][C]97[/C][C]9.9[/C][C]13.9429[/C][C]-4.04291[/C][/ROW]
[ROW][C]98[/C][C]8.8[/C][C]13.5289[/C][C]-4.72892[/C][/ROW]
[ROW][C]99[/C][C]7.7[/C][C]9.60735[/C][C]-1.90735[/C][/ROW]
[ROW][C]100[/C][C]9[/C][C]14.9507[/C][C]-5.95066[/C][/ROW]
[ROW][C]101[/C][C]7.3[/C][C]7.53268[/C][C]-0.232676[/C][/ROW]
[ROW][C]102[/C][C]11.4[/C][C]10.0877[/C][C]1.31228[/C][/ROW]
[ROW][C]103[/C][C]13.6[/C][C]16.6524[/C][C]-3.05238[/C][/ROW]
[ROW][C]104[/C][C]7.9[/C][C]8.24303[/C][C]-0.343028[/C][/ROW]
[ROW][C]105[/C][C]10.7[/C][C]12.3257[/C][C]-1.62571[/C][/ROW]
[ROW][C]106[/C][C]10.3[/C][C]12.4934[/C][C]-2.19344[/C][/ROW]
[ROW][C]107[/C][C]8.3[/C][C]10.0386[/C][C]-1.73858[/C][/ROW]
[ROW][C]108[/C][C]9.6[/C][C]7.53563[/C][C]2.06437[/C][/ROW]
[ROW][C]109[/C][C]14.2[/C][C]16.2401[/C][C]-2.04015[/C][/ROW]
[ROW][C]110[/C][C]8.5[/C][C]5.79264[/C][C]2.70736[/C][/ROW]
[ROW][C]111[/C][C]13.5[/C][C]19.4959[/C][C]-5.99586[/C][/ROW]
[ROW][C]112[/C][C]4.9[/C][C]8.58344[/C][C]-3.68344[/C][/ROW]
[ROW][C]113[/C][C]6.4[/C][C]7.41729[/C][C]-1.01729[/C][/ROW]
[ROW][C]114[/C][C]9.6[/C][C]9.29711[/C][C]0.30289[/C][/ROW]
[ROW][C]115[/C][C]11.6[/C][C]11.2454[/C][C]0.354636[/C][/ROW]
[ROW][C]116[/C][C]11.1[/C][C]15.3425[/C][C]-4.24246[/C][/ROW]
[ROW][C]117[/C][C]4.35[/C][C]3.32229[/C][C]1.02771[/C][/ROW]
[ROW][C]118[/C][C]12.7[/C][C]9.2307[/C][C]3.4693[/C][/ROW]
[ROW][C]119[/C][C]18.1[/C][C]15.2655[/C][C]2.83454[/C][/ROW]
[ROW][C]120[/C][C]17.85[/C][C]17.8849[/C][C]-0.0348562[/C][/ROW]
[ROW][C]121[/C][C]16.6[/C][C]14.0644[/C][C]2.53555[/C][/ROW]
[ROW][C]122[/C][C]12.6[/C][C]18.7413[/C][C]-6.14127[/C][/ROW]
[ROW][C]123[/C][C]17.1[/C][C]13.1624[/C][C]3.93757[/C][/ROW]
[ROW][C]124[/C][C]19.1[/C][C]20.5437[/C][C]-1.44372[/C][/ROW]
[ROW][C]125[/C][C]16.1[/C][C]12.1659[/C][C]3.93409[/C][/ROW]
[ROW][C]126[/C][C]13.35[/C][C]12.6908[/C][C]0.659231[/C][/ROW]
[ROW][C]127[/C][C]18.4[/C][C]13.0523[/C][C]5.34771[/C][/ROW]
[ROW][C]128[/C][C]14.7[/C][C]18.1627[/C][C]-3.46272[/C][/ROW]
[ROW][C]129[/C][C]10.6[/C][C]10.9146[/C][C]-0.314608[/C][/ROW]
[ROW][C]130[/C][C]12.6[/C][C]11.3777[/C][C]1.22226[/C][/ROW]
[ROW][C]131[/C][C]16.2[/C][C]19.2329[/C][C]-3.03288[/C][/ROW]
[ROW][C]132[/C][C]13.6[/C][C]11.3832[/C][C]2.21676[/C][/ROW]
[ROW][C]133[/C][C]18.9[/C][C]16.5704[/C][C]2.32956[/C][/ROW]
[ROW][C]134[/C][C]14.1[/C][C]11.024[/C][C]3.07599[/C][/ROW]
[ROW][C]135[/C][C]14.5[/C][C]16.1046[/C][C]-1.60464[/C][/ROW]
[ROW][C]136[/C][C]16.15[/C][C]13.9356[/C][C]2.21441[/C][/ROW]
[ROW][C]137[/C][C]14.75[/C][C]13.0548[/C][C]1.69519[/C][/ROW]
[ROW][C]138[/C][C]14.8[/C][C]13.7836[/C][C]1.01635[/C][/ROW]
[ROW][C]139[/C][C]12.45[/C][C]13.4168[/C][C]-0.966774[/C][/ROW]
[ROW][C]140[/C][C]12.65[/C][C]8.75572[/C][C]3.89428[/C][/ROW]
[ROW][C]141[/C][C]17.35[/C][C]19.2277[/C][C]-1.87774[/C][/ROW]
[ROW][C]142[/C][C]8.6[/C][C]7.50928[/C][C]1.09072[/C][/ROW]
[ROW][C]143[/C][C]18.4[/C][C]19.8561[/C][C]-1.45608[/C][/ROW]
[ROW][C]144[/C][C]16.1[/C][C]16.0523[/C][C]0.0476915[/C][/ROW]
[ROW][C]145[/C][C]11.6[/C][C]5.58528[/C][C]6.01472[/C][/ROW]
[ROW][C]146[/C][C]17.75[/C][C]14.751[/C][C]2.99902[/C][/ROW]
[ROW][C]147[/C][C]15.25[/C][C]13.4427[/C][C]1.80728[/C][/ROW]
[ROW][C]148[/C][C]17.65[/C][C]15.3327[/C][C]2.31732[/C][/ROW]
[ROW][C]149[/C][C]15.6[/C][C]13.7736[/C][C]1.82636[/C][/ROW]
[ROW][C]150[/C][C]16.35[/C][C]13.3133[/C][C]3.03673[/C][/ROW]
[ROW][C]151[/C][C]17.65[/C][C]16.0527[/C][C]1.59733[/C][/ROW]
[ROW][C]152[/C][C]13.6[/C][C]13.5091[/C][C]0.0909472[/C][/ROW]
[ROW][C]153[/C][C]11.7[/C][C]9.90614[/C][C]1.79386[/C][/ROW]
[ROW][C]154[/C][C]14.35[/C][C]17.0079[/C][C]-2.65795[/C][/ROW]
[ROW][C]155[/C][C]14.75[/C][C]13.2621[/C][C]1.48785[/C][/ROW]
[ROW][C]156[/C][C]18.25[/C][C]23.1897[/C][C]-4.93967[/C][/ROW]
[ROW][C]157[/C][C]9.9[/C][C]7.03934[/C][C]2.86066[/C][/ROW]
[ROW][C]158[/C][C]16[/C][C]13.4753[/C][C]2.52466[/C][/ROW]
[ROW][C]159[/C][C]18.25[/C][C]19.2506[/C][C]-1.0006[/C][/ROW]
[ROW][C]160[/C][C]16.85[/C][C]15.2005[/C][C]1.64946[/C][/ROW]
[ROW][C]161[/C][C]14.6[/C][C]14.8259[/C][C]-0.225916[/C][/ROW]
[ROW][C]162[/C][C]13.85[/C][C]10.8902[/C][C]2.95979[/C][/ROW]
[ROW][C]163[/C][C]18.95[/C][C]17.2946[/C][C]1.6554[/C][/ROW]
[ROW][C]164[/C][C]15.6[/C][C]19.1144[/C][C]-3.51444[/C][/ROW]
[ROW][C]165[/C][C]14.85[/C][C]16.1064[/C][C]-1.25637[/C][/ROW]
[ROW][C]166[/C][C]11.75[/C][C]6.86848[/C][C]4.88152[/C][/ROW]
[ROW][C]167[/C][C]18.45[/C][C]20.8173[/C][C]-2.36728[/C][/ROW]
[ROW][C]168[/C][C]15.9[/C][C]12.8729[/C][C]3.02714[/C][/ROW]
[ROW][C]169[/C][C]17.1[/C][C]9.98663[/C][C]7.11337[/C][/ROW]
[ROW][C]170[/C][C]16.1[/C][C]12.316[/C][C]3.78397[/C][/ROW]
[ROW][C]171[/C][C]19.9[/C][C]19.6608[/C][C]0.239219[/C][/ROW]
[ROW][C]172[/C][C]10.95[/C][C]9.26349[/C][C]1.68651[/C][/ROW]
[ROW][C]173[/C][C]18.45[/C][C]14.5745[/C][C]3.87551[/C][/ROW]
[ROW][C]174[/C][C]15.1[/C][C]16.3361[/C][C]-1.2361[/C][/ROW]
[ROW][C]175[/C][C]15[/C][C]17.9812[/C][C]-2.98125[/C][/ROW]
[ROW][C]176[/C][C]11.35[/C][C]10.9919[/C][C]0.358105[/C][/ROW]
[ROW][C]177[/C][C]15.95[/C][C]11.7868[/C][C]4.16319[/C][/ROW]
[ROW][C]178[/C][C]18.1[/C][C]17.3125[/C][C]0.787507[/C][/ROW]
[ROW][C]179[/C][C]14.6[/C][C]15.4528[/C][C]-0.852804[/C][/ROW]
[ROW][C]180[/C][C]15.4[/C][C]16.2299[/C][C]-0.82991[/C][/ROW]
[ROW][C]181[/C][C]15.4[/C][C]11.7802[/C][C]3.61983[/C][/ROW]
[ROW][C]182[/C][C]17.6[/C][C]17.4037[/C][C]0.196335[/C][/ROW]
[ROW][C]183[/C][C]13.35[/C][C]11.1121[/C][C]2.23793[/C][/ROW]
[ROW][C]184[/C][C]19.1[/C][C]17.7232[/C][C]1.37681[/C][/ROW]
[ROW][C]185[/C][C]15.35[/C][C]18.6917[/C][C]-3.34166[/C][/ROW]
[ROW][C]186[/C][C]7.6[/C][C]8.45899[/C][C]-0.858994[/C][/ROW]
[ROW][C]187[/C][C]13.4[/C][C]14.1888[/C][C]-0.788807[/C][/ROW]
[ROW][C]188[/C][C]13.9[/C][C]11.9443[/C][C]1.95566[/C][/ROW]
[ROW][C]189[/C][C]19.1[/C][C]17.9786[/C][C]1.12137[/C][/ROW]
[ROW][C]190[/C][C]15.25[/C][C]15.5799[/C][C]-0.32991[/C][/ROW]
[ROW][C]191[/C][C]12.9[/C][C]11.3292[/C][C]1.57075[/C][/ROW]
[ROW][C]192[/C][C]16.1[/C][C]11.827[/C][C]4.27299[/C][/ROW]
[ROW][C]193[/C][C]17.35[/C][C]17.1318[/C][C]0.218182[/C][/ROW]
[ROW][C]194[/C][C]13.15[/C][C]11.5726[/C][C]1.57743[/C][/ROW]
[ROW][C]195[/C][C]12.15[/C][C]12.1856[/C][C]-0.0355589[/C][/ROW]
[ROW][C]196[/C][C]12.6[/C][C]14.1923[/C][C]-1.5923[/C][/ROW]
[ROW][C]197[/C][C]10.35[/C][C]7.616[/C][C]2.734[/C][/ROW]
[ROW][C]198[/C][C]15.4[/C][C]16.7752[/C][C]-1.37524[/C][/ROW]
[ROW][C]199[/C][C]9.6[/C][C]4.94324[/C][C]4.65676[/C][/ROW]
[ROW][C]200[/C][C]18.2[/C][C]17.1946[/C][C]1.00536[/C][/ROW]
[ROW][C]201[/C][C]13.6[/C][C]14.3642[/C][C]-0.764173[/C][/ROW]
[ROW][C]202[/C][C]14.85[/C][C]17.0366[/C][C]-2.18661[/C][/ROW]
[ROW][C]203[/C][C]14.75[/C][C]14.7972[/C][C]-0.047247[/C][/ROW]
[ROW][C]204[/C][C]14.1[/C][C]10.9625[/C][C]3.1375[/C][/ROW]
[ROW][C]205[/C][C]14.9[/C][C]11.8439[/C][C]3.0561[/C][/ROW]
[ROW][C]206[/C][C]16.25[/C][C]15.7402[/C][C]0.50981[/C][/ROW]
[ROW][C]207[/C][C]19.25[/C][C]17.9562[/C][C]1.2938[/C][/ROW]
[ROW][C]208[/C][C]13.6[/C][C]12.5881[/C][C]1.01193[/C][/ROW]
[ROW][C]209[/C][C]13.6[/C][C]14.1595[/C][C]-0.559488[/C][/ROW]
[ROW][C]210[/C][C]15.65[/C][C]14.5486[/C][C]1.10141[/C][/ROW]
[ROW][C]211[/C][C]12.75[/C][C]9.55895[/C][C]3.19105[/C][/ROW]
[ROW][C]212[/C][C]14.6[/C][C]16.3954[/C][C]-1.79538[/C][/ROW]
[ROW][C]213[/C][C]9.85[/C][C]8.78549[/C][C]1.06451[/C][/ROW]
[ROW][C]214[/C][C]12.65[/C][C]13.1343[/C][C]-0.484306[/C][/ROW]
[ROW][C]215[/C][C]11.9[/C][C]9.35839[/C][C]2.54161[/C][/ROW]
[ROW][C]216[/C][C]19.2[/C][C]17.3876[/C][C]1.81245[/C][/ROW]
[ROW][C]217[/C][C]16.6[/C][C]15.1395[/C][C]1.46051[/C][/ROW]
[ROW][C]218[/C][C]11.2[/C][C]8.87498[/C][C]2.32502[/C][/ROW]
[ROW][C]219[/C][C]15.25[/C][C]17.2063[/C][C]-1.95626[/C][/ROW]
[ROW][C]220[/C][C]11.9[/C][C]15.2899[/C][C]-3.38987[/C][/ROW]
[ROW][C]221[/C][C]13.2[/C][C]13.7801[/C][C]-0.580087[/C][/ROW]
[ROW][C]222[/C][C]16.35[/C][C]16.3968[/C][C]-0.0467789[/C][/ROW]
[ROW][C]223[/C][C]12.4[/C][C]10.098[/C][C]2.30204[/C][/ROW]
[ROW][C]224[/C][C]15.85[/C][C]14.9707[/C][C]0.879253[/C][/ROW]
[ROW][C]225[/C][C]14.35[/C][C]11.2285[/C][C]3.12147[/C][/ROW]
[ROW][C]226[/C][C]18.15[/C][C]18.559[/C][C]-0.409007[/C][/ROW]
[ROW][C]227[/C][C]11.15[/C][C]12.3642[/C][C]-1.21424[/C][/ROW]
[ROW][C]228[/C][C]15.65[/C][C]13.7727[/C][C]1.87731[/C][/ROW]
[ROW][C]229[/C][C]17.75[/C][C]22.254[/C][C]-4.50396[/C][/ROW]
[ROW][C]230[/C][C]7.65[/C][C]7.02758[/C][C]0.62242[/C][/ROW]
[ROW][C]231[/C][C]12.35[/C][C]7.58468[/C][C]4.76532[/C][/ROW]
[ROW][C]232[/C][C]15.6[/C][C]12.4852[/C][C]3.11477[/C][/ROW]
[ROW][C]233[/C][C]19.3[/C][C]16.2143[/C][C]3.08573[/C][/ROW]
[ROW][C]234[/C][C]15.2[/C][C]11.0186[/C][C]4.18144[/C][/ROW]
[ROW][C]235[/C][C]17.1[/C][C]14.7013[/C][C]2.39872[/C][/ROW]
[ROW][C]236[/C][C]15.6[/C][C]11.1253[/C][C]4.47471[/C][/ROW]
[ROW][C]237[/C][C]18.4[/C][C]14.2105[/C][C]4.18948[/C][/ROW]
[ROW][C]238[/C][C]19.05[/C][C]12.9752[/C][C]6.07476[/C][/ROW]
[ROW][C]239[/C][C]18.55[/C][C]15.948[/C][C]2.60203[/C][/ROW]
[ROW][C]240[/C][C]19.1[/C][C]17.9969[/C][C]1.10311[/C][/ROW]
[ROW][C]241[/C][C]13.1[/C][C]13.2469[/C][C]-0.146933[/C][/ROW]
[ROW][C]242[/C][C]12.85[/C][C]13.3397[/C][C]-0.489667[/C][/ROW]
[ROW][C]243[/C][C]9.5[/C][C]14.923[/C][C]-5.42301[/C][/ROW]
[ROW][C]244[/C][C]4.5[/C][C]3.18381[/C][C]1.31619[/C][/ROW]
[ROW][C]245[/C][C]11.85[/C][C]13.5092[/C][C]-1.65918[/C][/ROW]
[ROW][C]246[/C][C]13.6[/C][C]14.0557[/C][C]-0.455703[/C][/ROW]
[ROW][C]247[/C][C]11.7[/C][C]10.7273[/C][C]0.972714[/C][/ROW]
[ROW][C]248[/C][C]12.4[/C][C]13.013[/C][C]-0.613011[/C][/ROW]
[ROW][C]249[/C][C]13.35[/C][C]15.8088[/C][C]-2.45877[/C][/ROW]
[ROW][C]250[/C][C]11.4[/C][C]8.60518[/C][C]2.79482[/C][/ROW]
[ROW][C]251[/C][C]14.9[/C][C]11.0473[/C][C]3.85265[/C][/ROW]
[ROW][C]252[/C][C]19.9[/C][C]13.6006[/C][C]6.29937[/C][/ROW]
[ROW][C]253[/C][C]17.75[/C][C]19.3236[/C][C]-1.57362[/C][/ROW]
[ROW][C]254[/C][C]11.2[/C][C]12.8229[/C][C]-1.6229[/C][/ROW]
[ROW][C]255[/C][C]14.6[/C][C]12.754[/C][C]1.846[/C][/ROW]
[ROW][C]256[/C][C]17.6[/C][C]15.6734[/C][C]1.92655[/C][/ROW]
[ROW][C]257[/C][C]14.05[/C][C]12.4859[/C][C]1.56414[/C][/ROW]
[ROW][C]258[/C][C]16.1[/C][C]15.1342[/C][C]0.965794[/C][/ROW]
[ROW][C]259[/C][C]13.35[/C][C]13.3827[/C][C]-0.0326691[/C][/ROW]
[ROW][C]260[/C][C]11.85[/C][C]13.0589[/C][C]-1.20889[/C][/ROW]
[ROW][C]261[/C][C]11.95[/C][C]12.5178[/C][C]-0.567755[/C][/ROW]
[ROW][C]262[/C][C]14.75[/C][C]13.1067[/C][C]1.64328[/C][/ROW]
[ROW][C]263[/C][C]15.15[/C][C]15.7997[/C][C]-0.649654[/C][/ROW]
[ROW][C]264[/C][C]13.2[/C][C]12.7851[/C][C]0.414893[/C][/ROW]
[ROW][C]265[/C][C]16.85[/C][C]19.1377[/C][C]-2.2877[/C][/ROW]
[ROW][C]266[/C][C]7.85[/C][C]14.0475[/C][C]-6.19755[/C][/ROW]
[ROW][C]267[/C][C]7.7[/C][C]6.47527[/C][C]1.22473[/C][/ROW]
[ROW][C]268[/C][C]12.6[/C][C]16.7121[/C][C]-4.11212[/C][/ROW]
[ROW][C]269[/C][C]7.85[/C][C]7.78249[/C][C]0.0675121[/C][/ROW]
[ROW][C]270[/C][C]10.95[/C][C]11.0396[/C][C]-0.0895841[/C][/ROW]
[ROW][C]271[/C][C]12.35[/C][C]15.4128[/C][C]-3.06277[/C][/ROW]
[ROW][C]272[/C][C]9.95[/C][C]7.09795[/C][C]2.85205[/C][/ROW]
[ROW][C]273[/C][C]14.9[/C][C]13.6337[/C][C]1.26627[/C][/ROW]
[ROW][C]274[/C][C]16.65[/C][C]16.6598[/C][C]-0.00975863[/C][/ROW]
[ROW][C]275[/C][C]13.4[/C][C]13.8801[/C][C]-0.480063[/C][/ROW]
[ROW][C]276[/C][C]13.95[/C][C]9.65054[/C][C]4.29946[/C][/ROW]
[ROW][C]277[/C][C]15.7[/C][C]11.8429[/C][C]3.85715[/C][/ROW]
[ROW][C]278[/C][C]16.85[/C][C]16.1484[/C][C]0.701562[/C][/ROW]
[ROW][C]279[/C][C]10.95[/C][C]7.82308[/C][C]3.12692[/C][/ROW]
[ROW][C]280[/C][C]15.35[/C][C]14.6681[/C][C]0.681857[/C][/ROW]
[ROW][C]281[/C][C]12.2[/C][C]10.9118[/C][C]1.28819[/C][/ROW]
[ROW][C]282[/C][C]15.1[/C][C]14.4642[/C][C]0.635779[/C][/ROW]
[ROW][C]283[/C][C]17.75[/C][C]15.6629[/C][C]2.0871[/C][/ROW]
[ROW][C]284[/C][C]15.2[/C][C]13.5924[/C][C]1.60756[/C][/ROW]
[ROW][C]285[/C][C]14.6[/C][C]13.2724[/C][C]1.32756[/C][/ROW]
[ROW][C]286[/C][C]16.65[/C][C]19.463[/C][C]-2.81295[/C][/ROW]
[ROW][C]287[/C][C]8.1[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=269831&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=269831&T=4

As an alternative you can also use a QR Code:

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

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or Index	Actuals	InterpolationForecast	ResidualsPrediction Error
1	12.9	11.6411	1.25893
2	7.4	10.9602	-3.56018
3	12.2	10.8311	1.36888
4	12.8	12.0802	0.719832
5	7.4	11.8143	-4.41432
6	6.7	10.9811	-4.28112
7	12.6	15.4684	-2.8684
8	14.8	12.0089	2.79107
9	13.3	11.2391	2.06093
10	11.1	11.2805	-0.180501
11	8.2	14.1525	-5.95253
12	11.4	12.6659	-1.26586
13	6.4	13.7961	-7.39614
14	10.6	10.6544	-0.0544257
15	12	12.8883	-0.88828
16	6.3	7.93752	-1.63752
17	11.3	11.3978	-0.0978253
18	11.9	13.4422	-1.54217
19	9.3	11.3456	-2.04558
20	9.6	13.1721	-3.57212
21	10	10.0883	-0.0882972
22	6.4	11.0696	-4.66964
23	13.8	12.4669	1.33308
24	10.8	13.47	-2.66996
25	13.8	11.5952	2.20477
26	11.7	12.0462	-0.346165
27	10.9	14.9862	-4.08623
28	16.1	14.2218	1.8782
29	13.4	11.498	1.90196
30	9.9	10.3225	-0.4225
31	11.5	11.4546	0.0453786
32	8.3	10.8244	-2.52441
33	11.7	13.0485	-1.34851
34	6.1	10.9621	-4.86205
35	9	11.7537	-2.75372
36	9.7	14.0414	-4.3414
37	10.8	11.6473	-0.847316
38	10.3	11.9908	-1.69081
39	10.4	10.797	-0.396989
40	12.7	13.5591	-0.859064
41	9.3	11.8001	-2.50008
42	11.8	14.0864	-2.28642
43	5.9	10.0742	-4.17417
44	11.4	13.7689	-2.3689
45	13	11.2824	1.71759
46	10.8	12.3857	-1.58567
47	12.3	10.6331	1.66691
48	11.3	13.2311	-1.93111
49	11.8	11.4287	0.371302
50	7.9	11.1983	-3.29835
51	12.7	8.38732	4.31268
52	12.3	11.5762	0.723764
53	11.6	12.6426	-1.04255
54	6.7	11.0111	-4.31109
55	10.9	12.995	-2.09501
56	12.1	13.6693	-1.56934
57	13.3	12.6958	0.604227
58	10.1	12.8367	-2.73674
59	5.7	12.6438	-6.9438
60	14.3	11.3085	2.99151
61	8	9.3442	-1.3442
62	13.3	12.5075	0.792537
63	9.3	12.2609	-2.96089
64	12.5	11.4289	1.07113
65	7.6	9.70285	-2.10285
66	15.9	13.8867	2.0133
67	9.2	11.2207	-2.02074
68	9.1	10.8689	-1.7689
69	11.1	13.5391	-2.43906
70	13	13.228	-0.228003
71	14.5	12.8949	1.60512
72	12.2	11.6889	0.511053
73	12.3	13.4219	-1.12194
74	11.4	10.6183	0.781701
75	8.8	11.5336	-2.73358
76	14.6	11.3323	3.26766
77	7.3	12.0624	-4.7624
78	12.6	12.1868	0.413165
79	NA	NA	-0.213104
80	13	12.6616	0.338421
81	12.6	13.5662	-0.966201
82	13.2	14.7401	-1.54008
83	9.9	12.6413	-2.74126
84	7.7	8.28876	-0.588763
85	10.5	7.96278	2.53722
86	13.4	14.6465	-1.24652
87	10.9	16.9802	-6.08016
88	4.3	5.53451	-1.23451
89	10.3	10.4134	-0.113354
90	11.8	11.2641	0.535911
91	11.2	10.7563	0.443744
92	11.4	13.3249	-1.92488
93	8.6	7.03234	1.56766
94	13.2	11.2083	1.9917
95	12.6	19.0118	-6.41183
96	5.6	7.45394	-1.85394
97	9.9	13.9429	-4.04291
98	8.8	13.5289	-4.72892
99	7.7	9.60735	-1.90735
100	9	14.9507	-5.95066
101	7.3	7.53268	-0.232676
102	11.4	10.0877	1.31228
103	13.6	16.6524	-3.05238
104	7.9	8.24303	-0.343028
105	10.7	12.3257	-1.62571
106	10.3	12.4934	-2.19344
107	8.3	10.0386	-1.73858
108	9.6	7.53563	2.06437
109	14.2	16.2401	-2.04015
110	8.5	5.79264	2.70736
111	13.5	19.4959	-5.99586
112	4.9	8.58344	-3.68344
113	6.4	7.41729	-1.01729
114	9.6	9.29711	0.30289
115	11.6	11.2454	0.354636
116	11.1	15.3425	-4.24246
117	4.35	3.32229	1.02771
118	12.7	9.2307	3.4693
119	18.1	15.2655	2.83454
120	17.85	17.8849	-0.0348562
121	16.6	14.0644	2.53555
122	12.6	18.7413	-6.14127
123	17.1	13.1624	3.93757
124	19.1	20.5437	-1.44372
125	16.1	12.1659	3.93409
126	13.35	12.6908	0.659231
127	18.4	13.0523	5.34771
128	14.7	18.1627	-3.46272
129	10.6	10.9146	-0.314608
130	12.6	11.3777	1.22226
131	16.2	19.2329	-3.03288
132	13.6	11.3832	2.21676
133	18.9	16.5704	2.32956
134	14.1	11.024	3.07599
135	14.5	16.1046	-1.60464
136	16.15	13.9356	2.21441
137	14.75	13.0548	1.69519
138	14.8	13.7836	1.01635
139	12.45	13.4168	-0.966774
140	12.65	8.75572	3.89428
141	17.35	19.2277	-1.87774
142	8.6	7.50928	1.09072
143	18.4	19.8561	-1.45608
144	16.1	16.0523	0.0476915
145	11.6	5.58528	6.01472
146	17.75	14.751	2.99902
147	15.25	13.4427	1.80728
148	17.65	15.3327	2.31732
149	15.6	13.7736	1.82636
150	16.35	13.3133	3.03673
151	17.65	16.0527	1.59733
152	13.6	13.5091	0.0909472
153	11.7	9.90614	1.79386
154	14.35	17.0079	-2.65795
155	14.75	13.2621	1.48785
156	18.25	23.1897	-4.93967
157	9.9	7.03934	2.86066
158	16	13.4753	2.52466
159	18.25	19.2506	-1.0006
160	16.85	15.2005	1.64946
161	14.6	14.8259	-0.225916
162	13.85	10.8902	2.95979
163	18.95	17.2946	1.6554
164	15.6	19.1144	-3.51444
165	14.85	16.1064	-1.25637
166	11.75	6.86848	4.88152
167	18.45	20.8173	-2.36728
168	15.9	12.8729	3.02714
169	17.1	9.98663	7.11337
170	16.1	12.316	3.78397
171	19.9	19.6608	0.239219
172	10.95	9.26349	1.68651
173	18.45	14.5745	3.87551
174	15.1	16.3361	-1.2361
175	15	17.9812	-2.98125
176	11.35	10.9919	0.358105
177	15.95	11.7868	4.16319
178	18.1	17.3125	0.787507
179	14.6	15.4528	-0.852804
180	15.4	16.2299	-0.82991
181	15.4	11.7802	3.61983
182	17.6	17.4037	0.196335
183	13.35	11.1121	2.23793
184	19.1	17.7232	1.37681
185	15.35	18.6917	-3.34166
186	7.6	8.45899	-0.858994
187	13.4	14.1888	-0.788807
188	13.9	11.9443	1.95566
189	19.1	17.9786	1.12137
190	15.25	15.5799	-0.32991
191	12.9	11.3292	1.57075
192	16.1	11.827	4.27299
193	17.35	17.1318	0.218182
194	13.15	11.5726	1.57743
195	12.15	12.1856	-0.0355589
196	12.6	14.1923	-1.5923
197	10.35	7.616	2.734
198	15.4	16.7752	-1.37524
199	9.6	4.94324	4.65676
200	18.2	17.1946	1.00536
201	13.6	14.3642	-0.764173
202	14.85	17.0366	-2.18661
203	14.75	14.7972	-0.047247
204	14.1	10.9625	3.1375
205	14.9	11.8439	3.0561
206	16.25	15.7402	0.50981
207	19.25	17.9562	1.2938
208	13.6	12.5881	1.01193
209	13.6	14.1595	-0.559488
210	15.65	14.5486	1.10141
211	12.75	9.55895	3.19105
212	14.6	16.3954	-1.79538
213	9.85	8.78549	1.06451
214	12.65	13.1343	-0.484306
215	11.9	9.35839	2.54161
216	19.2	17.3876	1.81245
217	16.6	15.1395	1.46051
218	11.2	8.87498	2.32502
219	15.25	17.2063	-1.95626
220	11.9	15.2899	-3.38987
221	13.2	13.7801	-0.580087
222	16.35	16.3968	-0.0467789
223	12.4	10.098	2.30204
224	15.85	14.9707	0.879253
225	14.35	11.2285	3.12147
226	18.15	18.559	-0.409007
227	11.15	12.3642	-1.21424
228	15.65	13.7727	1.87731
229	17.75	22.254	-4.50396
230	7.65	7.02758	0.62242
231	12.35	7.58468	4.76532
232	15.6	12.4852	3.11477
233	19.3	16.2143	3.08573
234	15.2	11.0186	4.18144
235	17.1	14.7013	2.39872
236	15.6	11.1253	4.47471
237	18.4	14.2105	4.18948
238	19.05	12.9752	6.07476
239	18.55	15.948	2.60203
240	19.1	17.9969	1.10311
241	13.1	13.2469	-0.146933
242	12.85	13.3397	-0.489667
243	9.5	14.923	-5.42301
244	4.5	3.18381	1.31619
245	11.85	13.5092	-1.65918
246	13.6	14.0557	-0.455703
247	11.7	10.7273	0.972714
248	12.4	13.013	-0.613011
249	13.35	15.8088	-2.45877
250	11.4	8.60518	2.79482
251	14.9	11.0473	3.85265
252	19.9	13.6006	6.29937
253	17.75	19.3236	-1.57362
254	11.2	12.8229	-1.6229
255	14.6	12.754	1.846
256	17.6	15.6734	1.92655
257	14.05	12.4859	1.56414
258	16.1	15.1342	0.965794
259	13.35	13.3827	-0.0326691
260	11.85	13.0589	-1.20889
261	11.95	12.5178	-0.567755
262	14.75	13.1067	1.64328
263	15.15	15.7997	-0.649654
264	13.2	12.7851	0.414893
265	16.85	19.1377	-2.2877
266	7.85	14.0475	-6.19755
267	7.7	6.47527	1.22473
268	12.6	16.7121	-4.11212
269	7.85	7.78249	0.0675121
270	10.95	11.0396	-0.0895841
271	12.35	15.4128	-3.06277
272	9.95	7.09795	2.85205
273	14.9	13.6337	1.26627
274	16.65	16.6598	-0.00975863
275	13.4	13.8801	-0.480063
276	13.95	9.65054	4.29946
277	15.7	11.8429	3.85715
278	16.85	16.1484	0.701562
279	10.95	7.82308	3.12692
280	15.35	14.6681	0.681857
281	12.2	10.9118	1.28819
282	15.1	14.4642	0.635779
283	17.75	15.6629	2.0871
284	15.2	13.5924	1.60756
285	14.6	13.2724	1.32756
286	16.65	19.463	-2.81295
287	8.1	NA	NA

Goldfeld-Quandt test for Heteroskedasticity
p-values	Alternative Hypothesis
breakpoint index	greater	2-sided	less
12	0.950343	0.0993141	0.049657
13	0.912694	0.174613	0.0873063
14	0.891526	0.216948	0.108474
15	0.831729	0.336541	0.168271
16	0.754852	0.490296	0.245148
17	0.665122	0.669755	0.334878
18	0.572283	0.855435	0.427717
19	0.484903	0.969806	0.515097
20	0.498388	0.996777	0.501612
21	0.436116	0.872232	0.563884
22	0.483055	0.96611	0.516945
23	0.42281	0.84562	0.57719
24	0.364207	0.728413	0.635793
25	0.299328	0.598656	0.700672
26	0.268905	0.53781	0.731095
27	0.226723	0.453446	0.773277
28	0.177952	0.355903	0.822048
29	0.170493	0.340987	0.829507
30	0.131928	0.263857	0.868072
31	0.12811	0.25622	0.87189
32	0.111746	0.223493	0.888254
33	0.115354	0.230709	0.884646
34	0.130136	0.260272	0.869864
35	0.108267	0.216534	0.891733
36	0.137016	0.274031	0.862984
37	0.124162	0.248324	0.875838
38	0.100334	0.200668	0.899666
39	0.0787652	0.15753	0.921235
40	0.0617713	0.123543	0.938229
41	0.0835415	0.167083	0.916459
42	0.0838633	0.167727	0.916137
43	0.145545	0.291089	0.854455
44	0.123507	0.247013	0.876493
45	0.112279	0.224558	0.887721
46	0.0945317	0.189063	0.905468
47	0.0769784	0.153957	0.923022
48	0.0632862	0.126572	0.936714
49	0.0554626	0.110925	0.944537
50	0.097076	0.194152	0.902924
51	0.135978	0.271957	0.864022
52	0.120073	0.240146	0.879927
53	0.0988227	0.197645	0.901177
54	0.115026	0.230053	0.884974
55	0.104451	0.208902	0.895549
56	0.0924581	0.184916	0.907542
57	0.104832	0.209664	0.895168
58	0.0927229	0.185446	0.907277
59	0.202325	0.40465	0.797675
60	0.252335	0.504671	0.747665
61	0.224721	0.449442	0.775279
62	0.216532	0.433064	0.783468
63	0.220535	0.441069	0.779465
64	0.214403	0.428806	0.785597
65	0.20578	0.41156	0.79422
66	0.23409	0.46818	0.76591
67	0.229631	0.459262	0.770369
68	0.206923	0.413846	0.793077
69	0.19832	0.396639	0.80168
70	0.178998	0.357996	0.821002
71	0.178966	0.357933	0.821034
72	0.155107	0.310213	0.844893
73	0.140276	0.280552	0.859724
74	0.126331	0.252663	0.873669
75	0.11637	0.232741	0.88363
76	0.114758	0.229516	0.885242
77	0.197394	0.394788	0.802606
78	0.185616	0.371232	0.814384
79	0.170237	0.340474	0.829763
80	0.150512	0.301025	0.849488
81	0.154706	0.309412	0.845294
82	0.138193	0.276386	0.861807
83	0.150816	0.301632	0.849184
84	0.131282	0.262563	0.868718
85	0.132956	0.265913	0.867044
86	0.11549	0.23098	0.88451
87	0.229985	0.45997	0.770015
88	0.224742	0.449484	0.775258
89	0.200833	0.401665	0.799167
90	0.175917	0.351834	0.824083
91	0.157964	0.315928	0.842036
92	0.15143	0.30286	0.84857
93	0.148912	0.297825	0.851088
94	0.151195	0.302389	0.848805
95	0.277009	0.554019	0.722991
96	0.280095	0.560191	0.719905
97	0.287927	0.575854	0.712073
98	0.327677	0.655355	0.672323
99	0.324384	0.648768	0.675616
100	0.440652	0.881305	0.559348
101	0.428241	0.856481	0.571759
102	0.465674	0.931347	0.534326
103	0.532074	0.935851	0.467926
104	0.505644	0.988713	0.494356
105	0.491842	0.983685	0.508158
106	0.503573	0.992854	0.496427
107	0.528709	0.942582	0.471291
108	0.550306	0.899388	0.449694
109	0.581975	0.836049	0.418025
110	0.586089	0.827822	0.413911
111	0.7895	0.420999	0.2105
112	0.822167	0.355667	0.177833
113	0.83206	0.33588	0.16794
114	0.83224	0.335521	0.16776
115	0.827365	0.345271	0.172635
116	0.858212	0.283576	0.141788
117	0.854706	0.290587	0.145294
118	0.922687	0.154627	0.0773134
119	0.951069	0.097863	0.0489315
120	0.943368	0.113264	0.0566322
121	0.958709	0.0825811	0.0412905
122	0.961103	0.0777943	0.0388972
123	0.971678	0.056643	0.0283215
124	0.973847	0.0523057	0.0261528
125	0.983079	0.0338416	0.0169208
126	0.983403	0.0331941	0.0165971
127	0.994228	0.0115447	0.00577235
128	0.9947	0.0105993	0.00529967
129	0.993449	0.0131011	0.00655056
130	0.993221	0.0135586	0.00677932
131	0.992206	0.0155883	0.00779413
132	0.991463	0.0170734	0.00853668
133	0.991384	0.0172319	0.00861597
134	0.992208	0.0155838	0.00779188
135	0.991091	0.0178172	0.00890861
136	0.992361	0.0152784	0.00763918
137	0.991211	0.017578	0.008789
138	0.989361	0.0212779	0.010639
139	0.986792	0.0264153	0.0132076
140	0.991557	0.0168869	0.00844343
141	0.990454	0.0190927	0.00954634
142	0.989553	0.0208946	0.0104473
143	0.98698	0.0260409	0.0130205
144	0.98485	0.0303002	0.0151501
145	0.993691	0.0126188	0.00630938
146	0.993315	0.0133706	0.00668531
147	0.993628	0.0127438	0.00637188
148	0.993416	0.0131679	0.00658393
149	0.992304	0.015392	0.00769598
150	0.992555	0.0148899	0.00744496
151	0.990991	0.0180176	0.00900882
152	0.989768	0.0204632	0.0102316
153	0.987989	0.0240227	0.0120113
154	0.985781	0.0284373	0.0142187
155	0.98464	0.0307197	0.0153598
156	0.995199	0.00960275	0.00480138
157	0.994826	0.0103471	0.00517355
158	0.995043	0.00991365	0.00495682
159	0.993787	0.012426	0.00621298
160	0.993587	0.0128264	0.0064132
161	0.992178	0.0156434	0.00782169
162	0.991888	0.0162243	0.00811215
163	0.990863	0.0182745	0.00913724
164	0.991243	0.017514	0.00875698
165	0.989526	0.0209488	0.0104744
166	0.992591	0.0148178	0.00740891
167	0.990697	0.0186058	0.0093029
168	0.99065	0.0187006	0.0093503
169	0.999716	0.000568298	0.000284149
170	0.999746	0.000508371	0.000254186
171	0.999652	0.000695324	0.000347662
172	0.999591	0.000817856	0.000408928
173	0.999695	0.000610812	0.000305406
174	0.999576	0.000847425	0.000423712
175	0.999645	0.000710105	0.000355053
176	0.999522	0.000956475	0.000478237
177	0.999655	0.000690885	0.000345442
178	0.999634	0.000732511	0.000366256
179	0.999517	0.000965849	0.000482925
180	0.999378	0.00124343	0.000621714
181	0.999449	0.00110155	0.000550774
182	0.999249	0.0015013	0.000750652
183	0.999229	0.00154133	0.000770667
184	0.999194	0.00161243	0.000806214
185	0.999131	0.00173734	0.000868671
186	0.998994	0.00201143	0.00100572
187	0.99894	0.00212048	0.00106024
188	0.998791	0.00241815	0.00120908
189	0.998422	0.00315531	0.00157766
190	0.999109	0.00178212	0.000891058
191	0.998825	0.00235021	0.00117511
192	0.999197	0.00160622	0.000803108
193	0.999068	0.00186393	0.000931964
194	0.998837	0.00232635	0.00116317
195	0.998406	0.00318876	0.00159438
196	0.998037	0.00392648	0.00196324
197	0.997808	0.00438365	0.00219183
198	0.997857	0.00428573	0.00214287
199	0.998538	0.00292459	0.0014623
200	0.998028	0.00394361	0.0019718
201	0.997563	0.00487436	0.00243718
202	0.997382	0.00523571	0.00261785
203	0.996557	0.00688531	0.00344265
204	0.996725	0.00654992	0.00327496
205	0.996217	0.00756613	0.00378306
206	0.995893	0.00821365	0.00410682
207	0.995081	0.00983816	0.00491908
208	0.994049	0.0119025	0.00595123
209	0.992364	0.0152713	0.00763565
210	0.990011	0.0199787	0.00998937
211	0.993323	0.0133548	0.00667739
212	0.992374	0.0152515	0.00762576
213	0.991121	0.017757	0.00887851
214	0.988257	0.0234854	0.0117427
215	0.98581	0.0283793	0.0141897
216	0.982205	0.0355899	0.0177949
217	0.978589	0.0428215	0.0214107
218	0.974159	0.051682	0.025841
219	0.970035	0.0599305	0.0299652
220	0.966097	0.0678052	0.0339026
221	0.960837	0.0783259	0.039163
222	0.950448	0.0991037	0.0495518
223	0.943975	0.11205	0.056025
224	0.933819	0.132362	0.0661808
225	0.924034	0.151931	0.0759656
226	0.906553	0.186894	0.0934469
227	0.892319	0.215361	0.107681
228	0.889738	0.220524	0.110262
229	0.91222	0.17556	0.08778
230	0.891958	0.216084	0.108042
231	0.896598	0.206805	0.103402
232	0.884158	0.231684	0.115842
233	0.927203	0.145594	0.0727971
234	0.935499	0.129001	0.0645005
235	0.937348	0.125304	0.0626521
236	0.943816	0.112367	0.0561835
237	0.953378	0.0932446	0.0466223
238	0.972175	0.05565	0.027825
239	0.96759	0.06482	0.03241
240	0.957253	0.0854949	0.0427474
241	0.955314	0.0893713	0.0446857
242	0.943571	0.112857	0.0564287
243	0.958489	0.0830212	0.0415106
244	0.953186	0.0936278	0.0468139
245	0.942646	0.114708	0.0573542
246	0.932226	0.135547	0.0677736
247	0.911562	0.176875	0.0884375
248	0.886367	0.227265	0.113633
249	0.862002	0.275996	0.137998
250	0.842406	0.315187	0.157594
251	0.813838	0.372324	0.186162
252	0.927744	0.144512	0.0722561
253	0.910011	0.179978	0.0899892
254	0.907698	0.184603	0.0923016
255	0.878069	0.243862	0.121931
256	0.889575	0.22085	0.110425
257	0.864736	0.270528	0.135264
258	0.835413	0.329174	0.164587
259	0.788026	0.423948	0.211974
260	0.757714	0.484571	0.242286
261	0.704736	0.590528	0.295264
262	0.692019	0.615962	0.307981
263	0.639435	0.721131	0.360565
264	0.570286	0.859428	0.429714
265	0.562472	0.875056	0.437528
266	0.991491	0.0170174	0.00850871
267	0.991565	0.0168706	0.00843532
268	0.996036	0.00792732	0.00396366
269	0.996184	0.00763192	0.00381596
270	0.998772	0.00245677	0.00122839
271	0.999533	0.000933782	0.000466891
272	0.998092	0.00381521	0.00190761
273	0.997106	0.00578786	0.00289393
274	0.997414	0.00517261	0.00258631
275	0.977305	0.0453895	0.0226947

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
12 & 0.950343 & 0.0993141 & 0.049657 \tabularnewline
13 & 0.912694 & 0.174613 & 0.0873063 \tabularnewline
14 & 0.891526 & 0.216948 & 0.108474 \tabularnewline
15 & 0.831729 & 0.336541 & 0.168271 \tabularnewline
16 & 0.754852 & 0.490296 & 0.245148 \tabularnewline
17 & 0.665122 & 0.669755 & 0.334878 \tabularnewline
18 & 0.572283 & 0.855435 & 0.427717 \tabularnewline
19 & 0.484903 & 0.969806 & 0.515097 \tabularnewline
20 & 0.498388 & 0.996777 & 0.501612 \tabularnewline
21 & 0.436116 & 0.872232 & 0.563884 \tabularnewline
22 & 0.483055 & 0.96611 & 0.516945 \tabularnewline
23 & 0.42281 & 0.84562 & 0.57719 \tabularnewline
24 & 0.364207 & 0.728413 & 0.635793 \tabularnewline
25 & 0.299328 & 0.598656 & 0.700672 \tabularnewline
26 & 0.268905 & 0.53781 & 0.731095 \tabularnewline
27 & 0.226723 & 0.453446 & 0.773277 \tabularnewline
28 & 0.177952 & 0.355903 & 0.822048 \tabularnewline
29 & 0.170493 & 0.340987 & 0.829507 \tabularnewline
30 & 0.131928 & 0.263857 & 0.868072 \tabularnewline
31 & 0.12811 & 0.25622 & 0.87189 \tabularnewline
32 & 0.111746 & 0.223493 & 0.888254 \tabularnewline
33 & 0.115354 & 0.230709 & 0.884646 \tabularnewline
34 & 0.130136 & 0.260272 & 0.869864 \tabularnewline
35 & 0.108267 & 0.216534 & 0.891733 \tabularnewline
36 & 0.137016 & 0.274031 & 0.862984 \tabularnewline
37 & 0.124162 & 0.248324 & 0.875838 \tabularnewline
38 & 0.100334 & 0.200668 & 0.899666 \tabularnewline
39 & 0.0787652 & 0.15753 & 0.921235 \tabularnewline
40 & 0.0617713 & 0.123543 & 0.938229 \tabularnewline
41 & 0.0835415 & 0.167083 & 0.916459 \tabularnewline
42 & 0.0838633 & 0.167727 & 0.916137 \tabularnewline
43 & 0.145545 & 0.291089 & 0.854455 \tabularnewline
44 & 0.123507 & 0.247013 & 0.876493 \tabularnewline
45 & 0.112279 & 0.224558 & 0.887721 \tabularnewline
46 & 0.0945317 & 0.189063 & 0.905468 \tabularnewline
47 & 0.0769784 & 0.153957 & 0.923022 \tabularnewline
48 & 0.0632862 & 0.126572 & 0.936714 \tabularnewline
49 & 0.0554626 & 0.110925 & 0.944537 \tabularnewline
50 & 0.097076 & 0.194152 & 0.902924 \tabularnewline
51 & 0.135978 & 0.271957 & 0.864022 \tabularnewline
52 & 0.120073 & 0.240146 & 0.879927 \tabularnewline
53 & 0.0988227 & 0.197645 & 0.901177 \tabularnewline
54 & 0.115026 & 0.230053 & 0.884974 \tabularnewline
55 & 0.104451 & 0.208902 & 0.895549 \tabularnewline
56 & 0.0924581 & 0.184916 & 0.907542 \tabularnewline
57 & 0.104832 & 0.209664 & 0.895168 \tabularnewline
58 & 0.0927229 & 0.185446 & 0.907277 \tabularnewline
59 & 0.202325 & 0.40465 & 0.797675 \tabularnewline
60 & 0.252335 & 0.504671 & 0.747665 \tabularnewline
61 & 0.224721 & 0.449442 & 0.775279 \tabularnewline
62 & 0.216532 & 0.433064 & 0.783468 \tabularnewline
63 & 0.220535 & 0.441069 & 0.779465 \tabularnewline
64 & 0.214403 & 0.428806 & 0.785597 \tabularnewline
65 & 0.20578 & 0.41156 & 0.79422 \tabularnewline
66 & 0.23409 & 0.46818 & 0.76591 \tabularnewline
67 & 0.229631 & 0.459262 & 0.770369 \tabularnewline
68 & 0.206923 & 0.413846 & 0.793077 \tabularnewline
69 & 0.19832 & 0.396639 & 0.80168 \tabularnewline
70 & 0.178998 & 0.357996 & 0.821002 \tabularnewline
71 & 0.178966 & 0.357933 & 0.821034 \tabularnewline
72 & 0.155107 & 0.310213 & 0.844893 \tabularnewline
73 & 0.140276 & 0.280552 & 0.859724 \tabularnewline
74 & 0.126331 & 0.252663 & 0.873669 \tabularnewline
75 & 0.11637 & 0.232741 & 0.88363 \tabularnewline
76 & 0.114758 & 0.229516 & 0.885242 \tabularnewline
77 & 0.197394 & 0.394788 & 0.802606 \tabularnewline
78 & 0.185616 & 0.371232 & 0.814384 \tabularnewline
79 & 0.170237 & 0.340474 & 0.829763 \tabularnewline
80 & 0.150512 & 0.301025 & 0.849488 \tabularnewline
81 & 0.154706 & 0.309412 & 0.845294 \tabularnewline
82 & 0.138193 & 0.276386 & 0.861807 \tabularnewline
83 & 0.150816 & 0.301632 & 0.849184 \tabularnewline
84 & 0.131282 & 0.262563 & 0.868718 \tabularnewline
85 & 0.132956 & 0.265913 & 0.867044 \tabularnewline
86 & 0.11549 & 0.23098 & 0.88451 \tabularnewline
87 & 0.229985 & 0.45997 & 0.770015 \tabularnewline
88 & 0.224742 & 0.449484 & 0.775258 \tabularnewline
89 & 0.200833 & 0.401665 & 0.799167 \tabularnewline
90 & 0.175917 & 0.351834 & 0.824083 \tabularnewline
91 & 0.157964 & 0.315928 & 0.842036 \tabularnewline
92 & 0.15143 & 0.30286 & 0.84857 \tabularnewline
93 & 0.148912 & 0.297825 & 0.851088 \tabularnewline
94 & 0.151195 & 0.302389 & 0.848805 \tabularnewline
95 & 0.277009 & 0.554019 & 0.722991 \tabularnewline
96 & 0.280095 & 0.560191 & 0.719905 \tabularnewline
97 & 0.287927 & 0.575854 & 0.712073 \tabularnewline
98 & 0.327677 & 0.655355 & 0.672323 \tabularnewline
99 & 0.324384 & 0.648768 & 0.675616 \tabularnewline
100 & 0.440652 & 0.881305 & 0.559348 \tabularnewline
101 & 0.428241 & 0.856481 & 0.571759 \tabularnewline
102 & 0.465674 & 0.931347 & 0.534326 \tabularnewline
103 & 0.532074 & 0.935851 & 0.467926 \tabularnewline
104 & 0.505644 & 0.988713 & 0.494356 \tabularnewline
105 & 0.491842 & 0.983685 & 0.508158 \tabularnewline
106 & 0.503573 & 0.992854 & 0.496427 \tabularnewline
107 & 0.528709 & 0.942582 & 0.471291 \tabularnewline
108 & 0.550306 & 0.899388 & 0.449694 \tabularnewline
109 & 0.581975 & 0.836049 & 0.418025 \tabularnewline
110 & 0.586089 & 0.827822 & 0.413911 \tabularnewline
111 & 0.7895 & 0.420999 & 0.2105 \tabularnewline
112 & 0.822167 & 0.355667 & 0.177833 \tabularnewline
113 & 0.83206 & 0.33588 & 0.16794 \tabularnewline
114 & 0.83224 & 0.335521 & 0.16776 \tabularnewline
115 & 0.827365 & 0.345271 & 0.172635 \tabularnewline
116 & 0.858212 & 0.283576 & 0.141788 \tabularnewline
117 & 0.854706 & 0.290587 & 0.145294 \tabularnewline
118 & 0.922687 & 0.154627 & 0.0773134 \tabularnewline
119 & 0.951069 & 0.097863 & 0.0489315 \tabularnewline
120 & 0.943368 & 0.113264 & 0.0566322 \tabularnewline
121 & 0.958709 & 0.0825811 & 0.0412905 \tabularnewline
122 & 0.961103 & 0.0777943 & 0.0388972 \tabularnewline
123 & 0.971678 & 0.056643 & 0.0283215 \tabularnewline
124 & 0.973847 & 0.0523057 & 0.0261528 \tabularnewline
125 & 0.983079 & 0.0338416 & 0.0169208 \tabularnewline
126 & 0.983403 & 0.0331941 & 0.0165971 \tabularnewline
127 & 0.994228 & 0.0115447 & 0.00577235 \tabularnewline
128 & 0.9947 & 0.0105993 & 0.00529967 \tabularnewline
129 & 0.993449 & 0.0131011 & 0.00655056 \tabularnewline
130 & 0.993221 & 0.0135586 & 0.00677932 \tabularnewline
131 & 0.992206 & 0.0155883 & 0.00779413 \tabularnewline
132 & 0.991463 & 0.0170734 & 0.00853668 \tabularnewline
133 & 0.991384 & 0.0172319 & 0.00861597 \tabularnewline
134 & 0.992208 & 0.0155838 & 0.00779188 \tabularnewline
135 & 0.991091 & 0.0178172 & 0.00890861 \tabularnewline
136 & 0.992361 & 0.0152784 & 0.00763918 \tabularnewline
137 & 0.991211 & 0.017578 & 0.008789 \tabularnewline
138 & 0.989361 & 0.0212779 & 0.010639 \tabularnewline
139 & 0.986792 & 0.0264153 & 0.0132076 \tabularnewline
140 & 0.991557 & 0.0168869 & 0.00844343 \tabularnewline
141 & 0.990454 & 0.0190927 & 0.00954634 \tabularnewline
142 & 0.989553 & 0.0208946 & 0.0104473 \tabularnewline
143 & 0.98698 & 0.0260409 & 0.0130205 \tabularnewline
144 & 0.98485 & 0.0303002 & 0.0151501 \tabularnewline
145 & 0.993691 & 0.0126188 & 0.00630938 \tabularnewline
146 & 0.993315 & 0.0133706 & 0.00668531 \tabularnewline
147 & 0.993628 & 0.0127438 & 0.00637188 \tabularnewline
148 & 0.993416 & 0.0131679 & 0.00658393 \tabularnewline
149 & 0.992304 & 0.015392 & 0.00769598 \tabularnewline
150 & 0.992555 & 0.0148899 & 0.00744496 \tabularnewline
151 & 0.990991 & 0.0180176 & 0.00900882 \tabularnewline
152 & 0.989768 & 0.0204632 & 0.0102316 \tabularnewline
153 & 0.987989 & 0.0240227 & 0.0120113 \tabularnewline
154 & 0.985781 & 0.0284373 & 0.0142187 \tabularnewline
155 & 0.98464 & 0.0307197 & 0.0153598 \tabularnewline
156 & 0.995199 & 0.00960275 & 0.00480138 \tabularnewline
157 & 0.994826 & 0.0103471 & 0.00517355 \tabularnewline
158 & 0.995043 & 0.00991365 & 0.00495682 \tabularnewline
159 & 0.993787 & 0.012426 & 0.00621298 \tabularnewline
160 & 0.993587 & 0.0128264 & 0.0064132 \tabularnewline
161 & 0.992178 & 0.0156434 & 0.00782169 \tabularnewline
162 & 0.991888 & 0.0162243 & 0.00811215 \tabularnewline
163 & 0.990863 & 0.0182745 & 0.00913724 \tabularnewline
164 & 0.991243 & 0.017514 & 0.00875698 \tabularnewline
165 & 0.989526 & 0.0209488 & 0.0104744 \tabularnewline
166 & 0.992591 & 0.0148178 & 0.00740891 \tabularnewline
167 & 0.990697 & 0.0186058 & 0.0093029 \tabularnewline
168 & 0.99065 & 0.0187006 & 0.0093503 \tabularnewline
169 & 0.999716 & 0.000568298 & 0.000284149 \tabularnewline
170 & 0.999746 & 0.000508371 & 0.000254186 \tabularnewline
171 & 0.999652 & 0.000695324 & 0.000347662 \tabularnewline
172 & 0.999591 & 0.000817856 & 0.000408928 \tabularnewline
173 & 0.999695 & 0.000610812 & 0.000305406 \tabularnewline
174 & 0.999576 & 0.000847425 & 0.000423712 \tabularnewline
175 & 0.999645 & 0.000710105 & 0.000355053 \tabularnewline
176 & 0.999522 & 0.000956475 & 0.000478237 \tabularnewline
177 & 0.999655 & 0.000690885 & 0.000345442 \tabularnewline
178 & 0.999634 & 0.000732511 & 0.000366256 \tabularnewline
179 & 0.999517 & 0.000965849 & 0.000482925 \tabularnewline
180 & 0.999378 & 0.00124343 & 0.000621714 \tabularnewline
181 & 0.999449 & 0.00110155 & 0.000550774 \tabularnewline
182 & 0.999249 & 0.0015013 & 0.000750652 \tabularnewline
183 & 0.999229 & 0.00154133 & 0.000770667 \tabularnewline
184 & 0.999194 & 0.00161243 & 0.000806214 \tabularnewline
185 & 0.999131 & 0.00173734 & 0.000868671 \tabularnewline
186 & 0.998994 & 0.00201143 & 0.00100572 \tabularnewline
187 & 0.99894 & 0.00212048 & 0.00106024 \tabularnewline
188 & 0.998791 & 0.00241815 & 0.00120908 \tabularnewline
189 & 0.998422 & 0.00315531 & 0.00157766 \tabularnewline
190 & 0.999109 & 0.00178212 & 0.000891058 \tabularnewline
191 & 0.998825 & 0.00235021 & 0.00117511 \tabularnewline
192 & 0.999197 & 0.00160622 & 0.000803108 \tabularnewline
193 & 0.999068 & 0.00186393 & 0.000931964 \tabularnewline
194 & 0.998837 & 0.00232635 & 0.00116317 \tabularnewline
195 & 0.998406 & 0.00318876 & 0.00159438 \tabularnewline
196 & 0.998037 & 0.00392648 & 0.00196324 \tabularnewline
197 & 0.997808 & 0.00438365 & 0.00219183 \tabularnewline
198 & 0.997857 & 0.00428573 & 0.00214287 \tabularnewline
199 & 0.998538 & 0.00292459 & 0.0014623 \tabularnewline
200 & 0.998028 & 0.00394361 & 0.0019718 \tabularnewline
201 & 0.997563 & 0.00487436 & 0.00243718 \tabularnewline
202 & 0.997382 & 0.00523571 & 0.00261785 \tabularnewline
203 & 0.996557 & 0.00688531 & 0.00344265 \tabularnewline
204 & 0.996725 & 0.00654992 & 0.00327496 \tabularnewline
205 & 0.996217 & 0.00756613 & 0.00378306 \tabularnewline
206 & 0.995893 & 0.00821365 & 0.00410682 \tabularnewline
207 & 0.995081 & 0.00983816 & 0.00491908 \tabularnewline
208 & 0.994049 & 0.0119025 & 0.00595123 \tabularnewline
209 & 0.992364 & 0.0152713 & 0.00763565 \tabularnewline
210 & 0.990011 & 0.0199787 & 0.00998937 \tabularnewline
211 & 0.993323 & 0.0133548 & 0.00667739 \tabularnewline
212 & 0.992374 & 0.0152515 & 0.00762576 \tabularnewline
213 & 0.991121 & 0.017757 & 0.00887851 \tabularnewline
214 & 0.988257 & 0.0234854 & 0.0117427 \tabularnewline
215 & 0.98581 & 0.0283793 & 0.0141897 \tabularnewline
216 & 0.982205 & 0.0355899 & 0.0177949 \tabularnewline
217 & 0.978589 & 0.0428215 & 0.0214107 \tabularnewline
218 & 0.974159 & 0.051682 & 0.025841 \tabularnewline
219 & 0.970035 & 0.0599305 & 0.0299652 \tabularnewline
220 & 0.966097 & 0.0678052 & 0.0339026 \tabularnewline
221 & 0.960837 & 0.0783259 & 0.039163 \tabularnewline
222 & 0.950448 & 0.0991037 & 0.0495518 \tabularnewline
223 & 0.943975 & 0.11205 & 0.056025 \tabularnewline
224 & 0.933819 & 0.132362 & 0.0661808 \tabularnewline
225 & 0.924034 & 0.151931 & 0.0759656 \tabularnewline
226 & 0.906553 & 0.186894 & 0.0934469 \tabularnewline
227 & 0.892319 & 0.215361 & 0.107681 \tabularnewline
228 & 0.889738 & 0.220524 & 0.110262 \tabularnewline
229 & 0.91222 & 0.17556 & 0.08778 \tabularnewline
230 & 0.891958 & 0.216084 & 0.108042 \tabularnewline
231 & 0.896598 & 0.206805 & 0.103402 \tabularnewline
232 & 0.884158 & 0.231684 & 0.115842 \tabularnewline
233 & 0.927203 & 0.145594 & 0.0727971 \tabularnewline
234 & 0.935499 & 0.129001 & 0.0645005 \tabularnewline
235 & 0.937348 & 0.125304 & 0.0626521 \tabularnewline
236 & 0.943816 & 0.112367 & 0.0561835 \tabularnewline
237 & 0.953378 & 0.0932446 & 0.0466223 \tabularnewline
238 & 0.972175 & 0.05565 & 0.027825 \tabularnewline
239 & 0.96759 & 0.06482 & 0.03241 \tabularnewline
240 & 0.957253 & 0.0854949 & 0.0427474 \tabularnewline
241 & 0.955314 & 0.0893713 & 0.0446857 \tabularnewline
242 & 0.943571 & 0.112857 & 0.0564287 \tabularnewline
243 & 0.958489 & 0.0830212 & 0.0415106 \tabularnewline
244 & 0.953186 & 0.0936278 & 0.0468139 \tabularnewline
245 & 0.942646 & 0.114708 & 0.0573542 \tabularnewline
246 & 0.932226 & 0.135547 & 0.0677736 \tabularnewline
247 & 0.911562 & 0.176875 & 0.0884375 \tabularnewline
248 & 0.886367 & 0.227265 & 0.113633 \tabularnewline
249 & 0.862002 & 0.275996 & 0.137998 \tabularnewline
250 & 0.842406 & 0.315187 & 0.157594 \tabularnewline
251 & 0.813838 & 0.372324 & 0.186162 \tabularnewline
252 & 0.927744 & 0.144512 & 0.0722561 \tabularnewline
253 & 0.910011 & 0.179978 & 0.0899892 \tabularnewline
254 & 0.907698 & 0.184603 & 0.0923016 \tabularnewline
255 & 0.878069 & 0.243862 & 0.121931 \tabularnewline
256 & 0.889575 & 0.22085 & 0.110425 \tabularnewline
257 & 0.864736 & 0.270528 & 0.135264 \tabularnewline
258 & 0.835413 & 0.329174 & 0.164587 \tabularnewline
259 & 0.788026 & 0.423948 & 0.211974 \tabularnewline
260 & 0.757714 & 0.484571 & 0.242286 \tabularnewline
261 & 0.704736 & 0.590528 & 0.295264 \tabularnewline
262 & 0.692019 & 0.615962 & 0.307981 \tabularnewline
263 & 0.639435 & 0.721131 & 0.360565 \tabularnewline
264 & 0.570286 & 0.859428 & 0.429714 \tabularnewline
265 & 0.562472 & 0.875056 & 0.437528 \tabularnewline
266 & 0.991491 & 0.0170174 & 0.00850871 \tabularnewline
267 & 0.991565 & 0.0168706 & 0.00843532 \tabularnewline
268 & 0.996036 & 0.00792732 & 0.00396366 \tabularnewline
269 & 0.996184 & 0.00763192 & 0.00381596 \tabularnewline
270 & 0.998772 & 0.00245677 & 0.00122839 \tabularnewline
271 & 0.999533 & 0.000933782 & 0.000466891 \tabularnewline
272 & 0.998092 & 0.00381521 & 0.00190761 \tabularnewline
273 & 0.997106 & 0.00578786 & 0.00289393 \tabularnewline
274 & 0.997414 & 0.00517261 & 0.00258631 \tabularnewline
275 & 0.977305 & 0.0453895 & 0.0226947 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=269831&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]12[/C][C]0.950343[/C][C]0.0993141[/C][C]0.049657[/C][/ROW]
[ROW][C]13[/C][C]0.912694[/C][C]0.174613[/C][C]0.0873063[/C][/ROW]
[ROW][C]14[/C][C]0.891526[/C][C]0.216948[/C][C]0.108474[/C][/ROW]
[ROW][C]15[/C][C]0.831729[/C][C]0.336541[/C][C]0.168271[/C][/ROW]
[ROW][C]16[/C][C]0.754852[/C][C]0.490296[/C][C]0.245148[/C][/ROW]
[ROW][C]17[/C][C]0.665122[/C][C]0.669755[/C][C]0.334878[/C][/ROW]
[ROW][C]18[/C][C]0.572283[/C][C]0.855435[/C][C]0.427717[/C][/ROW]
[ROW][C]19[/C][C]0.484903[/C][C]0.969806[/C][C]0.515097[/C][/ROW]
[ROW][C]20[/C][C]0.498388[/C][C]0.996777[/C][C]0.501612[/C][/ROW]
[ROW][C]21[/C][C]0.436116[/C][C]0.872232[/C][C]0.563884[/C][/ROW]
[ROW][C]22[/C][C]0.483055[/C][C]0.96611[/C][C]0.516945[/C][/ROW]
[ROW][C]23[/C][C]0.42281[/C][C]0.84562[/C][C]0.57719[/C][/ROW]
[ROW][C]24[/C][C]0.364207[/C][C]0.728413[/C][C]0.635793[/C][/ROW]
[ROW][C]25[/C][C]0.299328[/C][C]0.598656[/C][C]0.700672[/C][/ROW]
[ROW][C]26[/C][C]0.268905[/C][C]0.53781[/C][C]0.731095[/C][/ROW]
[ROW][C]27[/C][C]0.226723[/C][C]0.453446[/C][C]0.773277[/C][/ROW]
[ROW][C]28[/C][C]0.177952[/C][C]0.355903[/C][C]0.822048[/C][/ROW]
[ROW][C]29[/C][C]0.170493[/C][C]0.340987[/C][C]0.829507[/C][/ROW]
[ROW][C]30[/C][C]0.131928[/C][C]0.263857[/C][C]0.868072[/C][/ROW]
[ROW][C]31[/C][C]0.12811[/C][C]0.25622[/C][C]0.87189[/C][/ROW]
[ROW][C]32[/C][C]0.111746[/C][C]0.223493[/C][C]0.888254[/C][/ROW]
[ROW][C]33[/C][C]0.115354[/C][C]0.230709[/C][C]0.884646[/C][/ROW]
[ROW][C]34[/C][C]0.130136[/C][C]0.260272[/C][C]0.869864[/C][/ROW]
[ROW][C]35[/C][C]0.108267[/C][C]0.216534[/C][C]0.891733[/C][/ROW]
[ROW][C]36[/C][C]0.137016[/C][C]0.274031[/C][C]0.862984[/C][/ROW]
[ROW][C]37[/C][C]0.124162[/C][C]0.248324[/C][C]0.875838[/C][/ROW]
[ROW][C]38[/C][C]0.100334[/C][C]0.200668[/C][C]0.899666[/C][/ROW]
[ROW][C]39[/C][C]0.0787652[/C][C]0.15753[/C][C]0.921235[/C][/ROW]
[ROW][C]40[/C][C]0.0617713[/C][C]0.123543[/C][C]0.938229[/C][/ROW]
[ROW][C]41[/C][C]0.0835415[/C][C]0.167083[/C][C]0.916459[/C][/ROW]
[ROW][C]42[/C][C]0.0838633[/C][C]0.167727[/C][C]0.916137[/C][/ROW]
[ROW][C]43[/C][C]0.145545[/C][C]0.291089[/C][C]0.854455[/C][/ROW]
[ROW][C]44[/C][C]0.123507[/C][C]0.247013[/C][C]0.876493[/C][/ROW]
[ROW][C]45[/C][C]0.112279[/C][C]0.224558[/C][C]0.887721[/C][/ROW]
[ROW][C]46[/C][C]0.0945317[/C][C]0.189063[/C][C]0.905468[/C][/ROW]
[ROW][C]47[/C][C]0.0769784[/C][C]0.153957[/C][C]0.923022[/C][/ROW]
[ROW][C]48[/C][C]0.0632862[/C][C]0.126572[/C][C]0.936714[/C][/ROW]
[ROW][C]49[/C][C]0.0554626[/C][C]0.110925[/C][C]0.944537[/C][/ROW]
[ROW][C]50[/C][C]0.097076[/C][C]0.194152[/C][C]0.902924[/C][/ROW]
[ROW][C]51[/C][C]0.135978[/C][C]0.271957[/C][C]0.864022[/C][/ROW]
[ROW][C]52[/C][C]0.120073[/C][C]0.240146[/C][C]0.879927[/C][/ROW]
[ROW][C]53[/C][C]0.0988227[/C][C]0.197645[/C][C]0.901177[/C][/ROW]
[ROW][C]54[/C][C]0.115026[/C][C]0.230053[/C][C]0.884974[/C][/ROW]
[ROW][C]55[/C][C]0.104451[/C][C]0.208902[/C][C]0.895549[/C][/ROW]
[ROW][C]56[/C][C]0.0924581[/C][C]0.184916[/C][C]0.907542[/C][/ROW]
[ROW][C]57[/C][C]0.104832[/C][C]0.209664[/C][C]0.895168[/C][/ROW]
[ROW][C]58[/C][C]0.0927229[/C][C]0.185446[/C][C]0.907277[/C][/ROW]
[ROW][C]59[/C][C]0.202325[/C][C]0.40465[/C][C]0.797675[/C][/ROW]
[ROW][C]60[/C][C]0.252335[/C][C]0.504671[/C][C]0.747665[/C][/ROW]
[ROW][C]61[/C][C]0.224721[/C][C]0.449442[/C][C]0.775279[/C][/ROW]
[ROW][C]62[/C][C]0.216532[/C][C]0.433064[/C][C]0.783468[/C][/ROW]
[ROW][C]63[/C][C]0.220535[/C][C]0.441069[/C][C]0.779465[/C][/ROW]
[ROW][C]64[/C][C]0.214403[/C][C]0.428806[/C][C]0.785597[/C][/ROW]
[ROW][C]65[/C][C]0.20578[/C][C]0.41156[/C][C]0.79422[/C][/ROW]
[ROW][C]66[/C][C]0.23409[/C][C]0.46818[/C][C]0.76591[/C][/ROW]
[ROW][C]67[/C][C]0.229631[/C][C]0.459262[/C][C]0.770369[/C][/ROW]
[ROW][C]68[/C][C]0.206923[/C][C]0.413846[/C][C]0.793077[/C][/ROW]
[ROW][C]69[/C][C]0.19832[/C][C]0.396639[/C][C]0.80168[/C][/ROW]
[ROW][C]70[/C][C]0.178998[/C][C]0.357996[/C][C]0.821002[/C][/ROW]
[ROW][C]71[/C][C]0.178966[/C][C]0.357933[/C][C]0.821034[/C][/ROW]
[ROW][C]72[/C][C]0.155107[/C][C]0.310213[/C][C]0.844893[/C][/ROW]
[ROW][C]73[/C][C]0.140276[/C][C]0.280552[/C][C]0.859724[/C][/ROW]
[ROW][C]74[/C][C]0.126331[/C][C]0.252663[/C][C]0.873669[/C][/ROW]
[ROW][C]75[/C][C]0.11637[/C][C]0.232741[/C][C]0.88363[/C][/ROW]
[ROW][C]76[/C][C]0.114758[/C][C]0.229516[/C][C]0.885242[/C][/ROW]
[ROW][C]77[/C][C]0.197394[/C][C]0.394788[/C][C]0.802606[/C][/ROW]
[ROW][C]78[/C][C]0.185616[/C][C]0.371232[/C][C]0.814384[/C][/ROW]
[ROW][C]79[/C][C]0.170237[/C][C]0.340474[/C][C]0.829763[/C][/ROW]
[ROW][C]80[/C][C]0.150512[/C][C]0.301025[/C][C]0.849488[/C][/ROW]
[ROW][C]81[/C][C]0.154706[/C][C]0.309412[/C][C]0.845294[/C][/ROW]
[ROW][C]82[/C][C]0.138193[/C][C]0.276386[/C][C]0.861807[/C][/ROW]
[ROW][C]83[/C][C]0.150816[/C][C]0.301632[/C][C]0.849184[/C][/ROW]
[ROW][C]84[/C][C]0.131282[/C][C]0.262563[/C][C]0.868718[/C][/ROW]
[ROW][C]85[/C][C]0.132956[/C][C]0.265913[/C][C]0.867044[/C][/ROW]
[ROW][C]86[/C][C]0.11549[/C][C]0.23098[/C][C]0.88451[/C][/ROW]
[ROW][C]87[/C][C]0.229985[/C][C]0.45997[/C][C]0.770015[/C][/ROW]
[ROW][C]88[/C][C]0.224742[/C][C]0.449484[/C][C]0.775258[/C][/ROW]
[ROW][C]89[/C][C]0.200833[/C][C]0.401665[/C][C]0.799167[/C][/ROW]
[ROW][C]90[/C][C]0.175917[/C][C]0.351834[/C][C]0.824083[/C][/ROW]
[ROW][C]91[/C][C]0.157964[/C][C]0.315928[/C][C]0.842036[/C][/ROW]
[ROW][C]92[/C][C]0.15143[/C][C]0.30286[/C][C]0.84857[/C][/ROW]
[ROW][C]93[/C][C]0.148912[/C][C]0.297825[/C][C]0.851088[/C][/ROW]
[ROW][C]94[/C][C]0.151195[/C][C]0.302389[/C][C]0.848805[/C][/ROW]
[ROW][C]95[/C][C]0.277009[/C][C]0.554019[/C][C]0.722991[/C][/ROW]
[ROW][C]96[/C][C]0.280095[/C][C]0.560191[/C][C]0.719905[/C][/ROW]
[ROW][C]97[/C][C]0.287927[/C][C]0.575854[/C][C]0.712073[/C][/ROW]
[ROW][C]98[/C][C]0.327677[/C][C]0.655355[/C][C]0.672323[/C][/ROW]
[ROW][C]99[/C][C]0.324384[/C][C]0.648768[/C][C]0.675616[/C][/ROW]
[ROW][C]100[/C][C]0.440652[/C][C]0.881305[/C][C]0.559348[/C][/ROW]
[ROW][C]101[/C][C]0.428241[/C][C]0.856481[/C][C]0.571759[/C][/ROW]
[ROW][C]102[/C][C]0.465674[/C][C]0.931347[/C][C]0.534326[/C][/ROW]
[ROW][C]103[/C][C]0.532074[/C][C]0.935851[/C][C]0.467926[/C][/ROW]
[ROW][C]104[/C][C]0.505644[/C][C]0.988713[/C][C]0.494356[/C][/ROW]
[ROW][C]105[/C][C]0.491842[/C][C]0.983685[/C][C]0.508158[/C][/ROW]
[ROW][C]106[/C][C]0.503573[/C][C]0.992854[/C][C]0.496427[/C][/ROW]
[ROW][C]107[/C][C]0.528709[/C][C]0.942582[/C][C]0.471291[/C][/ROW]
[ROW][C]108[/C][C]0.550306[/C][C]0.899388[/C][C]0.449694[/C][/ROW]
[ROW][C]109[/C][C]0.581975[/C][C]0.836049[/C][C]0.418025[/C][/ROW]
[ROW][C]110[/C][C]0.586089[/C][C]0.827822[/C][C]0.413911[/C][/ROW]
[ROW][C]111[/C][C]0.7895[/C][C]0.420999[/C][C]0.2105[/C][/ROW]
[ROW][C]112[/C][C]0.822167[/C][C]0.355667[/C][C]0.177833[/C][/ROW]
[ROW][C]113[/C][C]0.83206[/C][C]0.33588[/C][C]0.16794[/C][/ROW]
[ROW][C]114[/C][C]0.83224[/C][C]0.335521[/C][C]0.16776[/C][/ROW]
[ROW][C]115[/C][C]0.827365[/C][C]0.345271[/C][C]0.172635[/C][/ROW]
[ROW][C]116[/C][C]0.858212[/C][C]0.283576[/C][C]0.141788[/C][/ROW]
[ROW][C]117[/C][C]0.854706[/C][C]0.290587[/C][C]0.145294[/C][/ROW]
[ROW][C]118[/C][C]0.922687[/C][C]0.154627[/C][C]0.0773134[/C][/ROW]
[ROW][C]119[/C][C]0.951069[/C][C]0.097863[/C][C]0.0489315[/C][/ROW]
[ROW][C]120[/C][C]0.943368[/C][C]0.113264[/C][C]0.0566322[/C][/ROW]
[ROW][C]121[/C][C]0.958709[/C][C]0.0825811[/C][C]0.0412905[/C][/ROW]
[ROW][C]122[/C][C]0.961103[/C][C]0.0777943[/C][C]0.0388972[/C][/ROW]
[ROW][C]123[/C][C]0.971678[/C][C]0.056643[/C][C]0.0283215[/C][/ROW]
[ROW][C]124[/C][C]0.973847[/C][C]0.0523057[/C][C]0.0261528[/C][/ROW]
[ROW][C]125[/C][C]0.983079[/C][C]0.0338416[/C][C]0.0169208[/C][/ROW]
[ROW][C]126[/C][C]0.983403[/C][C]0.0331941[/C][C]0.0165971[/C][/ROW]
[ROW][C]127[/C][C]0.994228[/C][C]0.0115447[/C][C]0.00577235[/C][/ROW]
[ROW][C]128[/C][C]0.9947[/C][C]0.0105993[/C][C]0.00529967[/C][/ROW]
[ROW][C]129[/C][C]0.993449[/C][C]0.0131011[/C][C]0.00655056[/C][/ROW]
[ROW][C]130[/C][C]0.993221[/C][C]0.0135586[/C][C]0.00677932[/C][/ROW]
[ROW][C]131[/C][C]0.992206[/C][C]0.0155883[/C][C]0.00779413[/C][/ROW]
[ROW][C]132[/C][C]0.991463[/C][C]0.0170734[/C][C]0.00853668[/C][/ROW]
[ROW][C]133[/C][C]0.991384[/C][C]0.0172319[/C][C]0.00861597[/C][/ROW]
[ROW][C]134[/C][C]0.992208[/C][C]0.0155838[/C][C]0.00779188[/C][/ROW]
[ROW][C]135[/C][C]0.991091[/C][C]0.0178172[/C][C]0.00890861[/C][/ROW]
[ROW][C]136[/C][C]0.992361[/C][C]0.0152784[/C][C]0.00763918[/C][/ROW]
[ROW][C]137[/C][C]0.991211[/C][C]0.017578[/C][C]0.008789[/C][/ROW]
[ROW][C]138[/C][C]0.989361[/C][C]0.0212779[/C][C]0.010639[/C][/ROW]
[ROW][C]139[/C][C]0.986792[/C][C]0.0264153[/C][C]0.0132076[/C][/ROW]
[ROW][C]140[/C][C]0.991557[/C][C]0.0168869[/C][C]0.00844343[/C][/ROW]
[ROW][C]141[/C][C]0.990454[/C][C]0.0190927[/C][C]0.00954634[/C][/ROW]
[ROW][C]142[/C][C]0.989553[/C][C]0.0208946[/C][C]0.0104473[/C][/ROW]
[ROW][C]143[/C][C]0.98698[/C][C]0.0260409[/C][C]0.0130205[/C][/ROW]
[ROW][C]144[/C][C]0.98485[/C][C]0.0303002[/C][C]0.0151501[/C][/ROW]
[ROW][C]145[/C][C]0.993691[/C][C]0.0126188[/C][C]0.00630938[/C][/ROW]
[ROW][C]146[/C][C]0.993315[/C][C]0.0133706[/C][C]0.00668531[/C][/ROW]
[ROW][C]147[/C][C]0.993628[/C][C]0.0127438[/C][C]0.00637188[/C][/ROW]
[ROW][C]148[/C][C]0.993416[/C][C]0.0131679[/C][C]0.00658393[/C][/ROW]
[ROW][C]149[/C][C]0.992304[/C][C]0.015392[/C][C]0.00769598[/C][/ROW]
[ROW][C]150[/C][C]0.992555[/C][C]0.0148899[/C][C]0.00744496[/C][/ROW]
[ROW][C]151[/C][C]0.990991[/C][C]0.0180176[/C][C]0.00900882[/C][/ROW]
[ROW][C]152[/C][C]0.989768[/C][C]0.0204632[/C][C]0.0102316[/C][/ROW]
[ROW][C]153[/C][C]0.987989[/C][C]0.0240227[/C][C]0.0120113[/C][/ROW]
[ROW][C]154[/C][C]0.985781[/C][C]0.0284373[/C][C]0.0142187[/C][/ROW]
[ROW][C]155[/C][C]0.98464[/C][C]0.0307197[/C][C]0.0153598[/C][/ROW]
[ROW][C]156[/C][C]0.995199[/C][C]0.00960275[/C][C]0.00480138[/C][/ROW]
[ROW][C]157[/C][C]0.994826[/C][C]0.0103471[/C][C]0.00517355[/C][/ROW]
[ROW][C]158[/C][C]0.995043[/C][C]0.00991365[/C][C]0.00495682[/C][/ROW]
[ROW][C]159[/C][C]0.993787[/C][C]0.012426[/C][C]0.00621298[/C][/ROW]
[ROW][C]160[/C][C]0.993587[/C][C]0.0128264[/C][C]0.0064132[/C][/ROW]
[ROW][C]161[/C][C]0.992178[/C][C]0.0156434[/C][C]0.00782169[/C][/ROW]
[ROW][C]162[/C][C]0.991888[/C][C]0.0162243[/C][C]0.00811215[/C][/ROW]
[ROW][C]163[/C][C]0.990863[/C][C]0.0182745[/C][C]0.00913724[/C][/ROW]
[ROW][C]164[/C][C]0.991243[/C][C]0.017514[/C][C]0.00875698[/C][/ROW]
[ROW][C]165[/C][C]0.989526[/C][C]0.0209488[/C][C]0.0104744[/C][/ROW]
[ROW][C]166[/C][C]0.992591[/C][C]0.0148178[/C][C]0.00740891[/C][/ROW]
[ROW][C]167[/C][C]0.990697[/C][C]0.0186058[/C][C]0.0093029[/C][/ROW]
[ROW][C]168[/C][C]0.99065[/C][C]0.0187006[/C][C]0.0093503[/C][/ROW]
[ROW][C]169[/C][C]0.999716[/C][C]0.000568298[/C][C]0.000284149[/C][/ROW]
[ROW][C]170[/C][C]0.999746[/C][C]0.000508371[/C][C]0.000254186[/C][/ROW]
[ROW][C]171[/C][C]0.999652[/C][C]0.000695324[/C][C]0.000347662[/C][/ROW]
[ROW][C]172[/C][C]0.999591[/C][C]0.000817856[/C][C]0.000408928[/C][/ROW]
[ROW][C]173[/C][C]0.999695[/C][C]0.000610812[/C][C]0.000305406[/C][/ROW]
[ROW][C]174[/C][C]0.999576[/C][C]0.000847425[/C][C]0.000423712[/C][/ROW]
[ROW][C]175[/C][C]0.999645[/C][C]0.000710105[/C][C]0.000355053[/C][/ROW]
[ROW][C]176[/C][C]0.999522[/C][C]0.000956475[/C][C]0.000478237[/C][/ROW]
[ROW][C]177[/C][C]0.999655[/C][C]0.000690885[/C][C]0.000345442[/C][/ROW]
[ROW][C]178[/C][C]0.999634[/C][C]0.000732511[/C][C]0.000366256[/C][/ROW]
[ROW][C]179[/C][C]0.999517[/C][C]0.000965849[/C][C]0.000482925[/C][/ROW]
[ROW][C]180[/C][C]0.999378[/C][C]0.00124343[/C][C]0.000621714[/C][/ROW]
[ROW][C]181[/C][C]0.999449[/C][C]0.00110155[/C][C]0.000550774[/C][/ROW]
[ROW][C]182[/C][C]0.999249[/C][C]0.0015013[/C][C]0.000750652[/C][/ROW]
[ROW][C]183[/C][C]0.999229[/C][C]0.00154133[/C][C]0.000770667[/C][/ROW]
[ROW][C]184[/C][C]0.999194[/C][C]0.00161243[/C][C]0.000806214[/C][/ROW]
[ROW][C]185[/C][C]0.999131[/C][C]0.00173734[/C][C]0.000868671[/C][/ROW]
[ROW][C]186[/C][C]0.998994[/C][C]0.00201143[/C][C]0.00100572[/C][/ROW]
[ROW][C]187[/C][C]0.99894[/C][C]0.00212048[/C][C]0.00106024[/C][/ROW]
[ROW][C]188[/C][C]0.998791[/C][C]0.00241815[/C][C]0.00120908[/C][/ROW]
[ROW][C]189[/C][C]0.998422[/C][C]0.00315531[/C][C]0.00157766[/C][/ROW]
[ROW][C]190[/C][C]0.999109[/C][C]0.00178212[/C][C]0.000891058[/C][/ROW]
[ROW][C]191[/C][C]0.998825[/C][C]0.00235021[/C][C]0.00117511[/C][/ROW]
[ROW][C]192[/C][C]0.999197[/C][C]0.00160622[/C][C]0.000803108[/C][/ROW]
[ROW][C]193[/C][C]0.999068[/C][C]0.00186393[/C][C]0.000931964[/C][/ROW]
[ROW][C]194[/C][C]0.998837[/C][C]0.00232635[/C][C]0.00116317[/C][/ROW]
[ROW][C]195[/C][C]0.998406[/C][C]0.00318876[/C][C]0.00159438[/C][/ROW]
[ROW][C]196[/C][C]0.998037[/C][C]0.00392648[/C][C]0.00196324[/C][/ROW]
[ROW][C]197[/C][C]0.997808[/C][C]0.00438365[/C][C]0.00219183[/C][/ROW]
[ROW][C]198[/C][C]0.997857[/C][C]0.00428573[/C][C]0.00214287[/C][/ROW]
[ROW][C]199[/C][C]0.998538[/C][C]0.00292459[/C][C]0.0014623[/C][/ROW]
[ROW][C]200[/C][C]0.998028[/C][C]0.00394361[/C][C]0.0019718[/C][/ROW]
[ROW][C]201[/C][C]0.997563[/C][C]0.00487436[/C][C]0.00243718[/C][/ROW]
[ROW][C]202[/C][C]0.997382[/C][C]0.00523571[/C][C]0.00261785[/C][/ROW]
[ROW][C]203[/C][C]0.996557[/C][C]0.00688531[/C][C]0.00344265[/C][/ROW]
[ROW][C]204[/C][C]0.996725[/C][C]0.00654992[/C][C]0.00327496[/C][/ROW]
[ROW][C]205[/C][C]0.996217[/C][C]0.00756613[/C][C]0.00378306[/C][/ROW]
[ROW][C]206[/C][C]0.995893[/C][C]0.00821365[/C][C]0.00410682[/C][/ROW]
[ROW][C]207[/C][C]0.995081[/C][C]0.00983816[/C][C]0.00491908[/C][/ROW]
[ROW][C]208[/C][C]0.994049[/C][C]0.0119025[/C][C]0.00595123[/C][/ROW]
[ROW][C]209[/C][C]0.992364[/C][C]0.0152713[/C][C]0.00763565[/C][/ROW]
[ROW][C]210[/C][C]0.990011[/C][C]0.0199787[/C][C]0.00998937[/C][/ROW]
[ROW][C]211[/C][C]0.993323[/C][C]0.0133548[/C][C]0.00667739[/C][/ROW]
[ROW][C]212[/C][C]0.992374[/C][C]0.0152515[/C][C]0.00762576[/C][/ROW]
[ROW][C]213[/C][C]0.991121[/C][C]0.017757[/C][C]0.00887851[/C][/ROW]
[ROW][C]214[/C][C]0.988257[/C][C]0.0234854[/C][C]0.0117427[/C][/ROW]
[ROW][C]215[/C][C]0.98581[/C][C]0.0283793[/C][C]0.0141897[/C][/ROW]
[ROW][C]216[/C][C]0.982205[/C][C]0.0355899[/C][C]0.0177949[/C][/ROW]
[ROW][C]217[/C][C]0.978589[/C][C]0.0428215[/C][C]0.0214107[/C][/ROW]
[ROW][C]218[/C][C]0.974159[/C][C]0.051682[/C][C]0.025841[/C][/ROW]
[ROW][C]219[/C][C]0.970035[/C][C]0.0599305[/C][C]0.0299652[/C][/ROW]
[ROW][C]220[/C][C]0.966097[/C][C]0.0678052[/C][C]0.0339026[/C][/ROW]
[ROW][C]221[/C][C]0.960837[/C][C]0.0783259[/C][C]0.039163[/C][/ROW]
[ROW][C]222[/C][C]0.950448[/C][C]0.0991037[/C][C]0.0495518[/C][/ROW]
[ROW][C]223[/C][C]0.943975[/C][C]0.11205[/C][C]0.056025[/C][/ROW]
[ROW][C]224[/C][C]0.933819[/C][C]0.132362[/C][C]0.0661808[/C][/ROW]
[ROW][C]225[/C][C]0.924034[/C][C]0.151931[/C][C]0.0759656[/C][/ROW]
[ROW][C]226[/C][C]0.906553[/C][C]0.186894[/C][C]0.0934469[/C][/ROW]
[ROW][C]227[/C][C]0.892319[/C][C]0.215361[/C][C]0.107681[/C][/ROW]
[ROW][C]228[/C][C]0.889738[/C][C]0.220524[/C][C]0.110262[/C][/ROW]
[ROW][C]229[/C][C]0.91222[/C][C]0.17556[/C][C]0.08778[/C][/ROW]
[ROW][C]230[/C][C]0.891958[/C][C]0.216084[/C][C]0.108042[/C][/ROW]
[ROW][C]231[/C][C]0.896598[/C][C]0.206805[/C][C]0.103402[/C][/ROW]
[ROW][C]232[/C][C]0.884158[/C][C]0.231684[/C][C]0.115842[/C][/ROW]
[ROW][C]233[/C][C]0.927203[/C][C]0.145594[/C][C]0.0727971[/C][/ROW]
[ROW][C]234[/C][C]0.935499[/C][C]0.129001[/C][C]0.0645005[/C][/ROW]
[ROW][C]235[/C][C]0.937348[/C][C]0.125304[/C][C]0.0626521[/C][/ROW]
[ROW][C]236[/C][C]0.943816[/C][C]0.112367[/C][C]0.0561835[/C][/ROW]
[ROW][C]237[/C][C]0.953378[/C][C]0.0932446[/C][C]0.0466223[/C][/ROW]
[ROW][C]238[/C][C]0.972175[/C][C]0.05565[/C][C]0.027825[/C][/ROW]
[ROW][C]239[/C][C]0.96759[/C][C]0.06482[/C][C]0.03241[/C][/ROW]
[ROW][C]240[/C][C]0.957253[/C][C]0.0854949[/C][C]0.0427474[/C][/ROW]
[ROW][C]241[/C][C]0.955314[/C][C]0.0893713[/C][C]0.0446857[/C][/ROW]
[ROW][C]242[/C][C]0.943571[/C][C]0.112857[/C][C]0.0564287[/C][/ROW]
[ROW][C]243[/C][C]0.958489[/C][C]0.0830212[/C][C]0.0415106[/C][/ROW]
[ROW][C]244[/C][C]0.953186[/C][C]0.0936278[/C][C]0.0468139[/C][/ROW]
[ROW][C]245[/C][C]0.942646[/C][C]0.114708[/C][C]0.0573542[/C][/ROW]
[ROW][C]246[/C][C]0.932226[/C][C]0.135547[/C][C]0.0677736[/C][/ROW]
[ROW][C]247[/C][C]0.911562[/C][C]0.176875[/C][C]0.0884375[/C][/ROW]
[ROW][C]248[/C][C]0.886367[/C][C]0.227265[/C][C]0.113633[/C][/ROW]
[ROW][C]249[/C][C]0.862002[/C][C]0.275996[/C][C]0.137998[/C][/ROW]
[ROW][C]250[/C][C]0.842406[/C][C]0.315187[/C][C]0.157594[/C][/ROW]
[ROW][C]251[/C][C]0.813838[/C][C]0.372324[/C][C]0.186162[/C][/ROW]
[ROW][C]252[/C][C]0.927744[/C][C]0.144512[/C][C]0.0722561[/C][/ROW]
[ROW][C]253[/C][C]0.910011[/C][C]0.179978[/C][C]0.0899892[/C][/ROW]
[ROW][C]254[/C][C]0.907698[/C][C]0.184603[/C][C]0.0923016[/C][/ROW]
[ROW][C]255[/C][C]0.878069[/C][C]0.243862[/C][C]0.121931[/C][/ROW]
[ROW][C]256[/C][C]0.889575[/C][C]0.22085[/C][C]0.110425[/C][/ROW]
[ROW][C]257[/C][C]0.864736[/C][C]0.270528[/C][C]0.135264[/C][/ROW]
[ROW][C]258[/C][C]0.835413[/C][C]0.329174[/C][C]0.164587[/C][/ROW]
[ROW][C]259[/C][C]0.788026[/C][C]0.423948[/C][C]0.211974[/C][/ROW]
[ROW][C]260[/C][C]0.757714[/C][C]0.484571[/C][C]0.242286[/C][/ROW]
[ROW][C]261[/C][C]0.704736[/C][C]0.590528[/C][C]0.295264[/C][/ROW]
[ROW][C]262[/C][C]0.692019[/C][C]0.615962[/C][C]0.307981[/C][/ROW]
[ROW][C]263[/C][C]0.639435[/C][C]0.721131[/C][C]0.360565[/C][/ROW]
[ROW][C]264[/C][C]0.570286[/C][C]0.859428[/C][C]0.429714[/C][/ROW]
[ROW][C]265[/C][C]0.562472[/C][C]0.875056[/C][C]0.437528[/C][/ROW]
[ROW][C]266[/C][C]0.991491[/C][C]0.0170174[/C][C]0.00850871[/C][/ROW]
[ROW][C]267[/C][C]0.991565[/C][C]0.0168706[/C][C]0.00843532[/C][/ROW]
[ROW][C]268[/C][C]0.996036[/C][C]0.00792732[/C][C]0.00396366[/C][/ROW]
[ROW][C]269[/C][C]0.996184[/C][C]0.00763192[/C][C]0.00381596[/C][/ROW]
[ROW][C]270[/C][C]0.998772[/C][C]0.00245677[/C][C]0.00122839[/C][/ROW]
[ROW][C]271[/C][C]0.999533[/C][C]0.000933782[/C][C]0.000466891[/C][/ROW]
[ROW][C]272[/C][C]0.998092[/C][C]0.00381521[/C][C]0.00190761[/C][/ROW]
[ROW][C]273[/C][C]0.997106[/C][C]0.00578786[/C][C]0.00289393[/C][/ROW]
[ROW][C]274[/C][C]0.997414[/C][C]0.00517261[/C][C]0.00258631[/C][/ROW]
[ROW][C]275[/C][C]0.977305[/C][C]0.0453895[/C][C]0.0226947[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=269831&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=269831&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
12	0.950343	0.0993141	0.049657
13	0.912694	0.174613	0.0873063
14	0.891526	0.216948	0.108474
15	0.831729	0.336541	0.168271
16	0.754852	0.490296	0.245148
17	0.665122	0.669755	0.334878
18	0.572283	0.855435	0.427717
19	0.484903	0.969806	0.515097
20	0.498388	0.996777	0.501612
21	0.436116	0.872232	0.563884
22	0.483055	0.96611	0.516945
23	0.42281	0.84562	0.57719
24	0.364207	0.728413	0.635793
25	0.299328	0.598656	0.700672
26	0.268905	0.53781	0.731095
27	0.226723	0.453446	0.773277
28	0.177952	0.355903	0.822048
29	0.170493	0.340987	0.829507
30	0.131928	0.263857	0.868072
31	0.12811	0.25622	0.87189
32	0.111746	0.223493	0.888254
33	0.115354	0.230709	0.884646
34	0.130136	0.260272	0.869864
35	0.108267	0.216534	0.891733
36	0.137016	0.274031	0.862984
37	0.124162	0.248324	0.875838
38	0.100334	0.200668	0.899666
39	0.0787652	0.15753	0.921235
40	0.0617713	0.123543	0.938229
41	0.0835415	0.167083	0.916459
42	0.0838633	0.167727	0.916137
43	0.145545	0.291089	0.854455
44	0.123507	0.247013	0.876493
45	0.112279	0.224558	0.887721
46	0.0945317	0.189063	0.905468
47	0.0769784	0.153957	0.923022
48	0.0632862	0.126572	0.936714
49	0.0554626	0.110925	0.944537
50	0.097076	0.194152	0.902924
51	0.135978	0.271957	0.864022
52	0.120073	0.240146	0.879927
53	0.0988227	0.197645	0.901177
54	0.115026	0.230053	0.884974
55	0.104451	0.208902	0.895549
56	0.0924581	0.184916	0.907542
57	0.104832	0.209664	0.895168
58	0.0927229	0.185446	0.907277
59	0.202325	0.40465	0.797675
60	0.252335	0.504671	0.747665
61	0.224721	0.449442	0.775279
62	0.216532	0.433064	0.783468
63	0.220535	0.441069	0.779465
64	0.214403	0.428806	0.785597
65	0.20578	0.41156	0.79422
66	0.23409	0.46818	0.76591
67	0.229631	0.459262	0.770369
68	0.206923	0.413846	0.793077
69	0.19832	0.396639	0.80168
70	0.178998	0.357996	0.821002
71	0.178966	0.357933	0.821034
72	0.155107	0.310213	0.844893
73	0.140276	0.280552	0.859724
74	0.126331	0.252663	0.873669
75	0.11637	0.232741	0.88363
76	0.114758	0.229516	0.885242
77	0.197394	0.394788	0.802606
78	0.185616	0.371232	0.814384
79	0.170237	0.340474	0.829763
80	0.150512	0.301025	0.849488
81	0.154706	0.309412	0.845294
82	0.138193	0.276386	0.861807
83	0.150816	0.301632	0.849184
84	0.131282	0.262563	0.868718
85	0.132956	0.265913	0.867044
86	0.11549	0.23098	0.88451
87	0.229985	0.45997	0.770015
88	0.224742	0.449484	0.775258
89	0.200833	0.401665	0.799167
90	0.175917	0.351834	0.824083
91	0.157964	0.315928	0.842036
92	0.15143	0.30286	0.84857
93	0.148912	0.297825	0.851088
94	0.151195	0.302389	0.848805
95	0.277009	0.554019	0.722991
96	0.280095	0.560191	0.719905
97	0.287927	0.575854	0.712073
98	0.327677	0.655355	0.672323
99	0.324384	0.648768	0.675616
100	0.440652	0.881305	0.559348
101	0.428241	0.856481	0.571759
102	0.465674	0.931347	0.534326
103	0.532074	0.935851	0.467926
104	0.505644	0.988713	0.494356
105	0.491842	0.983685	0.508158
106	0.503573	0.992854	0.496427
107	0.528709	0.942582	0.471291
108	0.550306	0.899388	0.449694
109	0.581975	0.836049	0.418025
110	0.586089	0.827822	0.413911
111	0.7895	0.420999	0.2105
112	0.822167	0.355667	0.177833
113	0.83206	0.33588	0.16794
114	0.83224	0.335521	0.16776
115	0.827365	0.345271	0.172635
116	0.858212	0.283576	0.141788
117	0.854706	0.290587	0.145294
118	0.922687	0.154627	0.0773134
119	0.951069	0.097863	0.0489315
120	0.943368	0.113264	0.0566322
121	0.958709	0.0825811	0.0412905
122	0.961103	0.0777943	0.0388972
123	0.971678	0.056643	0.0283215
124	0.973847	0.0523057	0.0261528
125	0.983079	0.0338416	0.0169208
126	0.983403	0.0331941	0.0165971
127	0.994228	0.0115447	0.00577235
128	0.9947	0.0105993	0.00529967
129	0.993449	0.0131011	0.00655056
130	0.993221	0.0135586	0.00677932
131	0.992206	0.0155883	0.00779413
132	0.991463	0.0170734	0.00853668
133	0.991384	0.0172319	0.00861597
134	0.992208	0.0155838	0.00779188
135	0.991091	0.0178172	0.00890861
136	0.992361	0.0152784	0.00763918
137	0.991211	0.017578	0.008789
138	0.989361	0.0212779	0.010639
139	0.986792	0.0264153	0.0132076
140	0.991557	0.0168869	0.00844343
141	0.990454	0.0190927	0.00954634
142	0.989553	0.0208946	0.0104473
143	0.98698	0.0260409	0.0130205
144	0.98485	0.0303002	0.0151501
145	0.993691	0.0126188	0.00630938
146	0.993315	0.0133706	0.00668531
147	0.993628	0.0127438	0.00637188
148	0.993416	0.0131679	0.00658393
149	0.992304	0.015392	0.00769598
150	0.992555	0.0148899	0.00744496
151	0.990991	0.0180176	0.00900882
152	0.989768	0.0204632	0.0102316
153	0.987989	0.0240227	0.0120113
154	0.985781	0.0284373	0.0142187
155	0.98464	0.0307197	0.0153598
156	0.995199	0.00960275	0.00480138
157	0.994826	0.0103471	0.00517355
158	0.995043	0.00991365	0.00495682
159	0.993787	0.012426	0.00621298
160	0.993587	0.0128264	0.0064132
161	0.992178	0.0156434	0.00782169
162	0.991888	0.0162243	0.00811215
163	0.990863	0.0182745	0.00913724
164	0.991243	0.017514	0.00875698
165	0.989526	0.0209488	0.0104744
166	0.992591	0.0148178	0.00740891
167	0.990697	0.0186058	0.0093029
168	0.99065	0.0187006	0.0093503
169	0.999716	0.000568298	0.000284149
170	0.999746	0.000508371	0.000254186
171	0.999652	0.000695324	0.000347662
172	0.999591	0.000817856	0.000408928
173	0.999695	0.000610812	0.000305406
174	0.999576	0.000847425	0.000423712
175	0.999645	0.000710105	0.000355053
176	0.999522	0.000956475	0.000478237
177	0.999655	0.000690885	0.000345442
178	0.999634	0.000732511	0.000366256
179	0.999517	0.000965849	0.000482925
180	0.999378	0.00124343	0.000621714
181	0.999449	0.00110155	0.000550774
182	0.999249	0.0015013	0.000750652
183	0.999229	0.00154133	0.000770667
184	0.999194	0.00161243	0.000806214
185	0.999131	0.00173734	0.000868671
186	0.998994	0.00201143	0.00100572
187	0.99894	0.00212048	0.00106024
188	0.998791	0.00241815	0.00120908
189	0.998422	0.00315531	0.00157766
190	0.999109	0.00178212	0.000891058
191	0.998825	0.00235021	0.00117511
192	0.999197	0.00160622	0.000803108
193	0.999068	0.00186393	0.000931964
194	0.998837	0.00232635	0.00116317
195	0.998406	0.00318876	0.00159438
196	0.998037	0.00392648	0.00196324
197	0.997808	0.00438365	0.00219183
198	0.997857	0.00428573	0.00214287
199	0.998538	0.00292459	0.0014623
200	0.998028	0.00394361	0.0019718
201	0.997563	0.00487436	0.00243718
202	0.997382	0.00523571	0.00261785
203	0.996557	0.00688531	0.00344265
204	0.996725	0.00654992	0.00327496
205	0.996217	0.00756613	0.00378306
206	0.995893	0.00821365	0.00410682
207	0.995081	0.00983816	0.00491908
208	0.994049	0.0119025	0.00595123
209	0.992364	0.0152713	0.00763565
210	0.990011	0.0199787	0.00998937
211	0.993323	0.0133548	0.00667739
212	0.992374	0.0152515	0.00762576
213	0.991121	0.017757	0.00887851
214	0.988257	0.0234854	0.0117427
215	0.98581	0.0283793	0.0141897
216	0.982205	0.0355899	0.0177949
217	0.978589	0.0428215	0.0214107
218	0.974159	0.051682	0.025841
219	0.970035	0.0599305	0.0299652
220	0.966097	0.0678052	0.0339026
221	0.960837	0.0783259	0.039163
222	0.950448	0.0991037	0.0495518
223	0.943975	0.11205	0.056025
224	0.933819	0.132362	0.0661808
225	0.924034	0.151931	0.0759656
226	0.906553	0.186894	0.0934469
227	0.892319	0.215361	0.107681
228	0.889738	0.220524	0.110262
229	0.91222	0.17556	0.08778
230	0.891958	0.216084	0.108042
231	0.896598	0.206805	0.103402
232	0.884158	0.231684	0.115842
233	0.927203	0.145594	0.0727971
234	0.935499	0.129001	0.0645005
235	0.937348	0.125304	0.0626521
236	0.943816	0.112367	0.0561835
237	0.953378	0.0932446	0.0466223
238	0.972175	0.05565	0.027825
239	0.96759	0.06482	0.03241
240	0.957253	0.0854949	0.0427474
241	0.955314	0.0893713	0.0446857
242	0.943571	0.112857	0.0564287
243	0.958489	0.0830212	0.0415106
244	0.953186	0.0936278	0.0468139
245	0.942646	0.114708	0.0573542
246	0.932226	0.135547	0.0677736
247	0.911562	0.176875	0.0884375
248	0.886367	0.227265	0.113633
249	0.862002	0.275996	0.137998
250	0.842406	0.315187	0.157594
251	0.813838	0.372324	0.186162
252	0.927744	0.144512	0.0722561
253	0.910011	0.179978	0.0899892
254	0.907698	0.184603	0.0923016
255	0.878069	0.243862	0.121931
256	0.889575	0.22085	0.110425
257	0.864736	0.270528	0.135264
258	0.835413	0.329174	0.164587
259	0.788026	0.423948	0.211974
260	0.757714	0.484571	0.242286
261	0.704736	0.590528	0.295264
262	0.692019	0.615962	0.307981
263	0.639435	0.721131	0.360565
264	0.570286	0.859428	0.429714
265	0.562472	0.875056	0.437528
266	0.991491	0.0170174	0.00850871
267	0.991565	0.0168706	0.00843532
268	0.996036	0.00792732	0.00396366
269	0.996184	0.00763192	0.00381596
270	0.998772	0.00245677	0.00122839
271	0.999533	0.000933782	0.000466891
272	0.998092	0.00381521	0.00190761
273	0.997106	0.00578786	0.00289393
274	0.997414	0.00517261	0.00258631
275	0.977305	0.0453895	0.0226947

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description	# significant tests	% significant tests	OK/NOK
1% type I error level	48	0.181818	NOK
5% type I error level	103	0.390152	NOK
10% type I error level	121	0.458333	NOK

\begin{tabular}{lllllllll}
\hline
Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
Description & # significant tests & % significant tests & OK/NOK \tabularnewline
1% type I error level & 48 & 0.181818 & NOK \tabularnewline
5% type I error level & 103 & 0.390152 & NOK \tabularnewline
10% type I error level & 121 & 0.458333 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=269831&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]48[/C][C]0.181818[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]103[/C][C]0.390152[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]121[/C][C]0.458333[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=269831&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=269831&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	48	0.181818	NOK
5% type I error level	103	0.390152	NOK
10% type I error level	121	0.458333	NOK

Figure 1

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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 = 0 ;

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):

par3 <- 'No Linear Trend'
par2 <- 'Do not include Seasonal Dummies'
par1 <- '1'
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