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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationThu, 18 Dec 2014 16:15:00 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Dec/18/t1418920380pwb2xroxszrbicx.htm/, Retrieved Sun, 19 May 2024 19:39:19 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=271124, Retrieved Sun, 19 May 2024 19:39:19 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact79

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Multiple Regression] [] [2014-12-18 16:15:00] [6341ece6c012999a305a5ce37b6a24ca] [Current]
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Dataset

Dataseries X:
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Histogram
Boxplots 
1	21	149	86	12.9
1	22	139	70	12.2
1	22	148	71	12.8
1	18	158	108	7.4
1	23	128	64	6.7
1	12	224	119	12.6
1	20	159	97	14.8
1	22	105	129	13.3
1	21	159	153	11.1
1	19	167	78	8.2
1	22	165	80	11.4
1	15	159	99	6.4
1	20	119	68	10.6
1	19	176	147	12
1	18	54	40	6.3
0	15	91	57	11.3
1	20	163	120	11.9
1	21	124	71	9.3
0	21	137	84	9.6
1	15	121	68	10
1	16	153	55	6.4
1	23	148	137	13.8
1	21	221	79	10.8
1	18	188	116	13.8
1	25	149	101	11.7
1	9	244	111	10.9
0	30	148	189	16.1
0	20	92	66	13.4
1	23	150	81	9.9
1	16	153	63	11.5
1	16	94	69	8.3
1	19	156	71	11.7
1	25	132	64	9
1	18	161	143	9.7
1	23	105	85	10.8
1	21	97	86	10.3
1	10	151	55	10.4
0	14	131	69	12.7
1	22	166	120	9.3
1	26	157	96	11.8
1	23	111	60	5.9
1	23	145	95	11.4
1	24	162	100	13
1	24	163	68	10.8
0	18	59	57	12.3
1	23	187	105	11.3
1	15	109	85	11.8
0	19	90	103	7.9
1	16	105	57	12.7
0	25	83	51	12.3
0	23	116	69	11.6
0	17	42	41	6.7
1	19	148	49	10.9
0	21	155	50	12.1
1	18	125	93	13.3
1	27	116	58	10.1
0	21	128	54	5.7
1	13	138	74	14.3
0	8	49	15	8
0	29	96	69	13.3
1	28	164	107	9.3
1	23	162	65	12.5
1	21	99	58	7.6
1	19	202	107	15.9
1	19	186	70	9.2
0	20	66	53	9.1
1	18	183	136	11.1
1	19	214	126	13
1	17	188	95	14.5
0	19	104	69	12.2
1	25	177	136	12.3
1	19	126	58	11.4
0	22	76	59	8.8
0	23	99	118	14.6
1	14	139	82	12.6
1	16	162	102	13
0	24	108	65	12.6
1	20	159	90	13.2
0	12	74	64	9.9
1	24	110	83	7.7
0	22	96	70	10.5
0	12	116	50	13.4
0	22	87	77	10.9
0	20	97	37	4.3
0	10	127	81	10.3
0	23	106	101	11.8
0	17	80	79	11.2
0	22	74	71	11.4
0	24	91	60	8.6
0	18	133	55	13.2
0	21	74	44	12.6
0	20	114	40	5.6
0	20	140	56	9.9
0	22	95	43	8.8
0	19	98	45	7.7
0	20	121	32	9
0	26	126	56	7.3
0	23	98	40	11.4
0	24	95	34	13.6
0	21	110	89	7.9
0	21	70	50	10.7
0	19	102	56	10.3
0	8	86	46	8.3
0	17	130	76	9.6
0	20	96	64	14.2
0	11	102	74	8.5
0	8	100	57	13.5
0	15	94	45	4.9
0	18	52	30	6.4
0	18	98	62	9.6
0	19	118	51	11.6
0	19	99	36	11.1
1	23	48	34	4.35
1	22	50	61	12.7
1	21	150	70	18.1
1	25	154	69	17.85
0	30	109	145	16.6
0	17	68	23	12.6
1	27	194	120	17.1
1	23	158	147	19.1
1	23	159	215	16.1
1	18	67	24	13.35
1	18	147	84	18.4
1	23	39	30	14.7
1	19	100	77	10.6
1	15	111	46	12.6
1	20	138	61	16.2
1	16	101	178	13.6
0	24	131	160	18.9
1	25	101	57	14.1
1	25	114	42	14.5
1	19	165	163	16.15
1	19	114	75	14.75
1	16	111	94	14.8
1	19	75	45	12.45
1	19	82	78	12.65
1	23	121	47	17.35
1	21	32	29	8.6
1	22	150	97	18.4
1	19	117	116	16.1
0	20	71	32	11.6
1	20	165	50	17.75
1	3	154	118	15.25
1	23	126	66	17.65
1	23	149	86	16.35
1	20	145	89	17.65
1	15	120	76	13.6
1	16	109	75	14.35
1	7	132	57	14.75
1	24	172	72	18.25
1	17	169	60	9.9
1	24	114	109	16
1	24	156	76	18.25
1	19	172	65	16.85
0	25	68	40	14.6
0	20	89	58	13.85
1	28	167	123	18.95
1	23	113	71	15.6
0	27	115	102	14.85
0	18	78	80	11.75
0	28	118	97	18.45
0	21	87	46	15.9
1	19	173	93	17.1
1	23	2	19	16.1
0	27	162	140	19.9
0	22	49	78	10.95
0	28	122	98	18.45
0	25	96	40	15.1
0	21	100	80	15
0	22	82	76	11.35
0	28	100	79	15.95
0	20	115	87	18.1
0	29	141	95	14.6
1	25	165	49	15.4
1	25	165	49	15.4
0	20	110	80	17.6
1	20	118	86	13.35
1	16	158	69	19.1
0	20	146	79	15.35
1	20	49	52	7.6
0	23	90	120	13.4
0	18	121	69	13.9
1	25	155	94	19.1
0	18	104	72	15.25
0	19	147	43	12.9
0	25	110	87	16.1
0	25	108	52	17.35
0	25	113	71	13.15
0	24	115	61	12.15
0	19	61	51	12.6
0	26	60	50	10.35
0	10	109	67	15.4
0	17	68	30	9.6
0	13	111	70	18.2
0	17	77	52	13.6
0	30	73	75	14.85
1	25	151	87	14.75
0	4	89	69	14.1
0	16	78	72	14.9
0	21	110	79	16.25
1	23	220	121	19.25
0	22	65	43	13.6
1	17	141	58	13.6
0	20	117	57	15.65
1	20	122	50	12.75
0	22	63	69	14.6
1	16	44	64	9.85
0	23	52	38	12.65
0	0	131	90	19.2
0	18	101	96	16.6
0	25	42	49	11.2
1	23	152	56	15.25
1	12	107	102	11.9
0	18	77	40	13.2
1	24	154	100	16.35
1	11	103	67	12.4
0	18	96	78	15.85
1	23	175	55	18.15
0	24	57	59	11.15
0	29	112	96	15.65
1	18	143	86	17.75
0	15	49	38	7.65
1	29	110	43	12.35
1	16	131	23	15.6
1	19	167	77	19.3
0	22	56	48	15.2
1	16	137	26	17.1
0	23	86	91	15.6
1	23	121	94	18.4
1	19	149	62	19.05
1	4	168	74	18.55
1	20	140	114	19.1
0	24	88	52	13.1
1	20	168	64	12.85
1	4	94	31	9.5
1	24	51	38	4.5
0	22	48	27	11.85
1	16	145	105	13.6
1	3	66	64	11.7
0	15	85	62	12.4
1	24	109	65	13.35
0	17	63	58	11.4
0	20	102	76	14.9
0	27	162	140	19.9
0	26	86	68	11.2
0	23	114	80	14.6
1	17	164	71	17.6
1	20	119	76	14.05
1	22	126	63	16.1
1	19	132	46	13.35
1	24	142	53	11.85
1	19	83	74	11.95
0	23	94	70	14.75
0	15	81	78	15.15
1	27	166	56	13.2
0	26	110	100	16.85
0	22	64	51	7.85
1	22	93	52	7.7
0	18	104	102	12.6
0	15	105	78	7.85
0	22	49	78	10.95
0	27	88	55	12.35
0	10	95	98	9.95
0	20	102	76	14.9
0	17	99	73	16.65
0	23	63	47	13.4
0	19	76	45	13.95
0	13	109	83	15.7
0	27	117	60	16.85
0	23	57	48	10.95
0	16	120	50	15.35
0	25	73	56	12.2
0	2	91	77	15.1
0	26	108	91	17.75
0	20	105	76	15.2
1	23	117	68	14.6
0	22	119	74	16.65
0	24	31	29	8.1

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time9 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 & 9 seconds \tabularnewline
R Server & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=271124&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]9 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=271124&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=271124&T=0

As an alternative you can also use a QR Code:  
QR Code


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time9 seconds
R Server'Sir Maurice George Kendall' @ kendall.wessa.net






Multiple Linear Regression - Estimated Regression Equation
Studierichting[t] = -0.0346247 -0.00327171NUMERACYTOT[t] + 0.00710833LFM[t] -0.000784361H[t] -0.0122198TOT[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
Studierichting[t] =  -0.0346247 -0.00327171NUMERACYTOT[t] +  0.00710833LFM[t] -0.000784361H[t] -0.0122198TOT[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=271124&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]Studierichting[t] =  -0.0346247 -0.00327171NUMERACYTOT[t] +  0.00710833LFM[t] -0.000784361H[t] -0.0122198TOT[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=271124&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=271124&T=1

As an alternative you can also use a QR Code:  
QR Code


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

Multiple Linear Regression - Estimated Regression Equation
Studierichting[t] = -0.0346247 -0.00327171NUMERACYTOT[t] + 0.00710833LFM[t] -0.000784361H[t] -0.0122198TOT[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)-0.03462470.144481-0.23960.8107830.405391
NUMERACYTOT-0.003271710.00510154-0.64130.5218540.260927
LFM0.007108330.0007682769.2526.61646e-183.30823e-18
H-0.0007843610.00101684-0.77140.4411520.220576
TOT-0.01221980.00816653-1.4960.1357240.0678622

\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) & -0.0346247 & 0.144481 & -0.2396 & 0.810783 & 0.405391 \tabularnewline
NUMERACYTOT & -0.00327171 & 0.00510154 & -0.6413 & 0.521854 & 0.260927 \tabularnewline
LFM & 0.00710833 & 0.000768276 & 9.252 & 6.61646e-18 & 3.30823e-18 \tabularnewline
H & -0.000784361 & 0.00101684 & -0.7714 & 0.441152 & 0.220576 \tabularnewline
TOT & -0.0122198 & 0.00816653 & -1.496 & 0.135724 & 0.0678622 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=271124&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]-0.0346247[/C][C]0.144481[/C][C]-0.2396[/C][C]0.810783[/C][C]0.405391[/C][/ROW]
[ROW][C]NUMERACYTOT[/C][C]-0.00327171[/C][C]0.00510154[/C][C]-0.6413[/C][C]0.521854[/C][C]0.260927[/C][/ROW]
[ROW][C]LFM[/C][C]0.00710833[/C][C]0.000768276[/C][C]9.252[/C][C]6.61646e-18[/C][C]3.30823e-18[/C][/ROW]
[ROW][C]H[/C][C]-0.000784361[/C][C]0.00101684[/C][C]-0.7714[/C][C]0.441152[/C][C]0.220576[/C][/ROW]
[ROW][C]TOT[/C][C]-0.0122198[/C][C]0.00816653[/C][C]-1.496[/C][C]0.135724[/C][C]0.0678622[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=271124&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=271124&T=2

As an alternative you can also use a QR Code:  
QR Code


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

Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)-0.03462470.144481-0.23960.8107830.405391
NUMERACYTOT-0.003271710.00510154-0.64130.5218540.260927
LFM0.007108330.0007682769.2526.61646e-183.30823e-18
H-0.0007843610.00101684-0.77140.4411520.220576
TOT-0.01221980.00816653-1.4960.1357240.0678622






Multiple Linear Regression - Regression Statistics
Multiple R0.526355
R-squared0.27705
Adjusted R-squared0.266457
F-TEST (value)26.1548
F-TEST (DF numerator)4
F-TEST (DF denominator)273
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.428908
Sum Squared Residuals50.2216

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.526355 \tabularnewline
R-squared & 0.27705 \tabularnewline
Adjusted R-squared & 0.266457 \tabularnewline
F-TEST (value) & 26.1548 \tabularnewline
F-TEST (DF numerator) & 4 \tabularnewline
F-TEST (DF denominator) & 273 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 0.428908 \tabularnewline
Sum Squared Residuals & 50.2216 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=271124&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.526355[/C][/ROW]
[ROW][C]R-squared[/C][C]0.27705[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.266457[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]26.1548[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]4[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]273[/C][/ROW]
[ROW][C]p-value[/C][C]0[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]0.428908[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]50.2216[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=271124&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=271124&T=3

As an alternative you can also use a QR Code:  
QR Code


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

Multiple Linear Regression - Regression Statistics
Multiple R0.526355
R-squared0.27705
Adjusted R-squared0.266457
F-TEST (value)26.1548
F-TEST (DF numerator)4
F-TEST (DF denominator)273
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.428908
Sum Squared Residuals50.2216






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
110.730720.26928
210.6774690.322531
310.7333280.266672
410.8544630.145537
510.6679210.332079
611.27107-0.271072
710.773230.22677
810.3760670.623933
910.7712470.228753
1010.9289220.0710785
1110.8642180.135782
1210.8906660.109334
1310.5629660.437034
1410.892340.10766
1510.1819750.818025
1600.380366-0.380366
1710.819060.18094
1810.6087690.391231
1900.687314-0.687314
2010.6008730.399127
2110.8792560.120744
2210.6660680.333932
2311.27367-0.273672
2410.9832320.0167683
2510.7205320.279468
2611.4501-0.450103
2700.574274-0.574274
2800.338395-0.338395
2910.7718660.228134
3010.810660.18934
3110.4256660.574334
3210.8134510.186549
3310.6617050.338295
3410.820230.17977
3510.4378560.562144
3610.3928590.607141
3710.835790.16421
3800.64145-0.64145
3910.8656130.134387
4010.7768270.223173
4110.5599920.440008
4210.7070140.292986
4310.801110.19889
4410.8602020.139798
4500.130864-0.130864
4610.9989420.0010578
4710.4802440.519756
4800.365637-0.365637
4910.4595030.540497
5000.283268-0.283268
5100.518822-0.518822
5200.0942748-0.0942748
5310.7836160.216384
5400.811383-0.811383
5510.5595570.440443
5610.5326930.467307
5700.694527-0.694527
5810.6710070.328993
5900.177986-0.177986
6000.336251-0.336251
6110.8419630.158037
6210.8379450.162055
6310.4620310.537969
6411.06087-0.0608743
6511.05803-0.0580349
6600.21632-0.21632
6710.9649960.0350038
6811.16671-0.166709
6910.9944210.00557887
7000.439277-0.439277
7110.884780.11522
7210.6140640.385936
7300.279819-0.279819
7400.322887-0.322887
7510.6893420.310658
7610.8257150.174285
7700.449601-0.449601
7810.7982720.201728
7900.280956-0.280956
8010.5095760.490424
8100.392584-0.392584
8200.547718-0.547718
8300.318231-0.318231
8400.507883-0.507883
8500.646019-0.646019
8600.420195-0.420195
8700.279597-0.279597
8800.224419-0.224419
8900.38156-0.38156
9000.647451-0.647451
9100.234205-0.234205
9200.610485-0.610485
9300.730207-0.730207
9400.427427-0.427427
9500.470441-0.470441
9600.624971-0.624971
9700.642832-0.642832
9800.416062-0.416062
9900.369288-0.369288
10000.512241-0.512241
10100.224283-0.224283
10200.458474-0.458474
10300.413013-0.413013
10400.656918-0.656918
10500.358621-0.358621
10600.492525-0.492525
10700.440359-0.440359
10800.489309-0.489309
10900.17438-0.17438
11000.437161-0.437161
11100.560244-0.560244
11200.443061-0.443061
11310.1515010.848499
11410.04577690.954223
11510.6868360.313164
11610.7060210.293979
11700.325451-0.325451
11800.221113-0.221113
11910.9529740.0470265
12010.6645430.335457
12110.6549740.345026
12210.2007840.799216
12310.6606790.339321
1241-0.03581081.03581
12510.424120.57588
12610.5152740.484726
12710.6350840.364916
12810.3251640.674836
12900.461594-0.461594
13010.3845160.615484
13110.4838020.516198
13210.7508870.249113
13310.4744940.525506
13410.447470.55253
13510.2489050.751095
13610.2703350.729665
13710.5013560.498644
1381-0.003700641.0037
13910.658720.34128
14010.4471630.552837
14100.237784-0.237784
14210.8166960.183304
14310.7713370.228663
14410.5183290.481671
14510.6820190.317981
14610.6451620.354838
14710.5434990.456501
14810.4536550.546345
14910.6558230.344177
15010.8300020.169998
15110.9430260.0569735
15210.4161920.583808
15310.7131310.286869
15410.8689590.131041
15500.157166-0.157166
15600.317846-0.317846
15710.7328170.267183
15810.4470490.552951
15900.433028-0.433028
16000.254603-0.254603
16100.411012-0.411012
16200.284719-0.284719
16310.851050.14895
1641-0.3072991.3073
16500.675604-0.675604
16600.0467191-0.0467191
16700.438661-0.438661
16800.350089-0.350089
16900.361457-0.361457
17000.277975-0.277975
17100.32773-0.32773
17200.427982-0.427982
17300.619847-0.619847
17410.8298390.170161
17510.8298390.170161
17600.40404-0.40404
17710.5081350.491865
17810.7486250.251375
17900.688219-0.688219
18010.1145920.885408
18100.272007-0.272007
18200.542617-0.542617
18310.6782460.321754
18400.402925-0.402925
18500.756775-0.756775
18600.400521-0.400521
18700.398482-0.398482
18800.470444-0.470444
18900.507996-0.507996
19000.142849-0.142849
19100.141118-0.141118
19200.466729-0.466729
19300.252282-0.252282
19400.434562-0.434562
19500.250122-0.250122
19600.145841-0.145841
19710.7084590.291541
19800.35851-0.35851
19900.228929-0.228929
20000.41805-0.41805
20111.12382-0.12382
20200.155523-0.155523
20310.7003490.299651
20400.495668-0.495668
20510.5721370.427863
20600.108693-0.108693
20710.05523050.944769
20800.0753732-0.0753732
20900.591354-0.591354
21000.346279-0.346279
21100.00683716-0.00683716
21210.7403160.259684
21310.4612860.538714
21400.26115-0.26115
21510.7033080.296692
21610.4574670.542533
21700.334021-0.334021
21810.8691550.130845
21900.109501-0.109501
22000.40009-0.40009
22110.638620.36138
22200.141321-0.141321
22310.467770.53223
22410.635550.36445
22510.7940660.205934
22600.0680742-0.0680742
22710.6575180.342482
22800.239437-0.239437
22910.451660.54834
23010.6809370.319063
23110.8617680.138232
23210.5722920.427708
23300.311521-0.311521
23410.8869170.113083
23510.4800680.519932
23610.1645840.835416
23700.0686154-0.0686154
23810.6951890.304811
23910.2315390.768461
24000.320352-0.320352
24110.4475450.552455
24200.172783-0.172783
24300.383305-0.383305
24400.675604-0.675604
24500.301429-0.301429
24600.459318-0.459318
24710.8047650.195235
24810.5145330.485467
24910.5428940.457106
25010.6422980.357702
25110.7098620.290138
25210.2891350.710865
25300.323162-0.323162
25400.245765-0.245765
25510.8517970.148203
25600.377888-0.377888
25700.212403-0.212403
25810.4195930.580407
25900.411777-0.411777
26000.505569-0.505569
26100.0467191-0.0467191
26200.308518-0.308518
26300.409495-0.409495
26400.383305-0.383305
26500.352763-0.352763
26600.137341-0.137341
26700.237684-0.237684
26800.440699-0.440699
26900.455749-0.455749
27000.123845-0.123845
27100.539236-0.539236
27200.209485-0.209485
27300.360775-0.360775
27400.359732-0.359732
27500.400964-0.400964
27610.4900550.509945
27700.477787-0.477787
2780-0.01451420.0145142

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 1 & 0.73072 & 0.26928 \tabularnewline
2 & 1 & 0.677469 & 0.322531 \tabularnewline
3 & 1 & 0.733328 & 0.266672 \tabularnewline
4 & 1 & 0.854463 & 0.145537 \tabularnewline
5 & 1 & 0.667921 & 0.332079 \tabularnewline
6 & 1 & 1.27107 & -0.271072 \tabularnewline
7 & 1 & 0.77323 & 0.22677 \tabularnewline
8 & 1 & 0.376067 & 0.623933 \tabularnewline
9 & 1 & 0.771247 & 0.228753 \tabularnewline
10 & 1 & 0.928922 & 0.0710785 \tabularnewline
11 & 1 & 0.864218 & 0.135782 \tabularnewline
12 & 1 & 0.890666 & 0.109334 \tabularnewline
13 & 1 & 0.562966 & 0.437034 \tabularnewline
14 & 1 & 0.89234 & 0.10766 \tabularnewline
15 & 1 & 0.181975 & 0.818025 \tabularnewline
16 & 0 & 0.380366 & -0.380366 \tabularnewline
17 & 1 & 0.81906 & 0.18094 \tabularnewline
18 & 1 & 0.608769 & 0.391231 \tabularnewline
19 & 0 & 0.687314 & -0.687314 \tabularnewline
20 & 1 & 0.600873 & 0.399127 \tabularnewline
21 & 1 & 0.879256 & 0.120744 \tabularnewline
22 & 1 & 0.666068 & 0.333932 \tabularnewline
23 & 1 & 1.27367 & -0.273672 \tabularnewline
24 & 1 & 0.983232 & 0.0167683 \tabularnewline
25 & 1 & 0.720532 & 0.279468 \tabularnewline
26 & 1 & 1.4501 & -0.450103 \tabularnewline
27 & 0 & 0.574274 & -0.574274 \tabularnewline
28 & 0 & 0.338395 & -0.338395 \tabularnewline
29 & 1 & 0.771866 & 0.228134 \tabularnewline
30 & 1 & 0.81066 & 0.18934 \tabularnewline
31 & 1 & 0.425666 & 0.574334 \tabularnewline
32 & 1 & 0.813451 & 0.186549 \tabularnewline
33 & 1 & 0.661705 & 0.338295 \tabularnewline
34 & 1 & 0.82023 & 0.17977 \tabularnewline
35 & 1 & 0.437856 & 0.562144 \tabularnewline
36 & 1 & 0.392859 & 0.607141 \tabularnewline
37 & 1 & 0.83579 & 0.16421 \tabularnewline
38 & 0 & 0.64145 & -0.64145 \tabularnewline
39 & 1 & 0.865613 & 0.134387 \tabularnewline
40 & 1 & 0.776827 & 0.223173 \tabularnewline
41 & 1 & 0.559992 & 0.440008 \tabularnewline
42 & 1 & 0.707014 & 0.292986 \tabularnewline
43 & 1 & 0.80111 & 0.19889 \tabularnewline
44 & 1 & 0.860202 & 0.139798 \tabularnewline
45 & 0 & 0.130864 & -0.130864 \tabularnewline
46 & 1 & 0.998942 & 0.0010578 \tabularnewline
47 & 1 & 0.480244 & 0.519756 \tabularnewline
48 & 0 & 0.365637 & -0.365637 \tabularnewline
49 & 1 & 0.459503 & 0.540497 \tabularnewline
50 & 0 & 0.283268 & -0.283268 \tabularnewline
51 & 0 & 0.518822 & -0.518822 \tabularnewline
52 & 0 & 0.0942748 & -0.0942748 \tabularnewline
53 & 1 & 0.783616 & 0.216384 \tabularnewline
54 & 0 & 0.811383 & -0.811383 \tabularnewline
55 & 1 & 0.559557 & 0.440443 \tabularnewline
56 & 1 & 0.532693 & 0.467307 \tabularnewline
57 & 0 & 0.694527 & -0.694527 \tabularnewline
58 & 1 & 0.671007 & 0.328993 \tabularnewline
59 & 0 & 0.177986 & -0.177986 \tabularnewline
60 & 0 & 0.336251 & -0.336251 \tabularnewline
61 & 1 & 0.841963 & 0.158037 \tabularnewline
62 & 1 & 0.837945 & 0.162055 \tabularnewline
63 & 1 & 0.462031 & 0.537969 \tabularnewline
64 & 1 & 1.06087 & -0.0608743 \tabularnewline
65 & 1 & 1.05803 & -0.0580349 \tabularnewline
66 & 0 & 0.21632 & -0.21632 \tabularnewline
67 & 1 & 0.964996 & 0.0350038 \tabularnewline
68 & 1 & 1.16671 & -0.166709 \tabularnewline
69 & 1 & 0.994421 & 0.00557887 \tabularnewline
70 & 0 & 0.439277 & -0.439277 \tabularnewline
71 & 1 & 0.88478 & 0.11522 \tabularnewline
72 & 1 & 0.614064 & 0.385936 \tabularnewline
73 & 0 & 0.279819 & -0.279819 \tabularnewline
74 & 0 & 0.322887 & -0.322887 \tabularnewline
75 & 1 & 0.689342 & 0.310658 \tabularnewline
76 & 1 & 0.825715 & 0.174285 \tabularnewline
77 & 0 & 0.449601 & -0.449601 \tabularnewline
78 & 1 & 0.798272 & 0.201728 \tabularnewline
79 & 0 & 0.280956 & -0.280956 \tabularnewline
80 & 1 & 0.509576 & 0.490424 \tabularnewline
81 & 0 & 0.392584 & -0.392584 \tabularnewline
82 & 0 & 0.547718 & -0.547718 \tabularnewline
83 & 0 & 0.318231 & -0.318231 \tabularnewline
84 & 0 & 0.507883 & -0.507883 \tabularnewline
85 & 0 & 0.646019 & -0.646019 \tabularnewline
86 & 0 & 0.420195 & -0.420195 \tabularnewline
87 & 0 & 0.279597 & -0.279597 \tabularnewline
88 & 0 & 0.224419 & -0.224419 \tabularnewline
89 & 0 & 0.38156 & -0.38156 \tabularnewline
90 & 0 & 0.647451 & -0.647451 \tabularnewline
91 & 0 & 0.234205 & -0.234205 \tabularnewline
92 & 0 & 0.610485 & -0.610485 \tabularnewline
93 & 0 & 0.730207 & -0.730207 \tabularnewline
94 & 0 & 0.427427 & -0.427427 \tabularnewline
95 & 0 & 0.470441 & -0.470441 \tabularnewline
96 & 0 & 0.624971 & -0.624971 \tabularnewline
97 & 0 & 0.642832 & -0.642832 \tabularnewline
98 & 0 & 0.416062 & -0.416062 \tabularnewline
99 & 0 & 0.369288 & -0.369288 \tabularnewline
100 & 0 & 0.512241 & -0.512241 \tabularnewline
101 & 0 & 0.224283 & -0.224283 \tabularnewline
102 & 0 & 0.458474 & -0.458474 \tabularnewline
103 & 0 & 0.413013 & -0.413013 \tabularnewline
104 & 0 & 0.656918 & -0.656918 \tabularnewline
105 & 0 & 0.358621 & -0.358621 \tabularnewline
106 & 0 & 0.492525 & -0.492525 \tabularnewline
107 & 0 & 0.440359 & -0.440359 \tabularnewline
108 & 0 & 0.489309 & -0.489309 \tabularnewline
109 & 0 & 0.17438 & -0.17438 \tabularnewline
110 & 0 & 0.437161 & -0.437161 \tabularnewline
111 & 0 & 0.560244 & -0.560244 \tabularnewline
112 & 0 & 0.443061 & -0.443061 \tabularnewline
113 & 1 & 0.151501 & 0.848499 \tabularnewline
114 & 1 & 0.0457769 & 0.954223 \tabularnewline
115 & 1 & 0.686836 & 0.313164 \tabularnewline
116 & 1 & 0.706021 & 0.293979 \tabularnewline
117 & 0 & 0.325451 & -0.325451 \tabularnewline
118 & 0 & 0.221113 & -0.221113 \tabularnewline
119 & 1 & 0.952974 & 0.0470265 \tabularnewline
120 & 1 & 0.664543 & 0.335457 \tabularnewline
121 & 1 & 0.654974 & 0.345026 \tabularnewline
122 & 1 & 0.200784 & 0.799216 \tabularnewline
123 & 1 & 0.660679 & 0.339321 \tabularnewline
124 & 1 & -0.0358108 & 1.03581 \tabularnewline
125 & 1 & 0.42412 & 0.57588 \tabularnewline
126 & 1 & 0.515274 & 0.484726 \tabularnewline
127 & 1 & 0.635084 & 0.364916 \tabularnewline
128 & 1 & 0.325164 & 0.674836 \tabularnewline
129 & 0 & 0.461594 & -0.461594 \tabularnewline
130 & 1 & 0.384516 & 0.615484 \tabularnewline
131 & 1 & 0.483802 & 0.516198 \tabularnewline
132 & 1 & 0.750887 & 0.249113 \tabularnewline
133 & 1 & 0.474494 & 0.525506 \tabularnewline
134 & 1 & 0.44747 & 0.55253 \tabularnewline
135 & 1 & 0.248905 & 0.751095 \tabularnewline
136 & 1 & 0.270335 & 0.729665 \tabularnewline
137 & 1 & 0.501356 & 0.498644 \tabularnewline
138 & 1 & -0.00370064 & 1.0037 \tabularnewline
139 & 1 & 0.65872 & 0.34128 \tabularnewline
140 & 1 & 0.447163 & 0.552837 \tabularnewline
141 & 0 & 0.237784 & -0.237784 \tabularnewline
142 & 1 & 0.816696 & 0.183304 \tabularnewline
143 & 1 & 0.771337 & 0.228663 \tabularnewline
144 & 1 & 0.518329 & 0.481671 \tabularnewline
145 & 1 & 0.682019 & 0.317981 \tabularnewline
146 & 1 & 0.645162 & 0.354838 \tabularnewline
147 & 1 & 0.543499 & 0.456501 \tabularnewline
148 & 1 & 0.453655 & 0.546345 \tabularnewline
149 & 1 & 0.655823 & 0.344177 \tabularnewline
150 & 1 & 0.830002 & 0.169998 \tabularnewline
151 & 1 & 0.943026 & 0.0569735 \tabularnewline
152 & 1 & 0.416192 & 0.583808 \tabularnewline
153 & 1 & 0.713131 & 0.286869 \tabularnewline
154 & 1 & 0.868959 & 0.131041 \tabularnewline
155 & 0 & 0.157166 & -0.157166 \tabularnewline
156 & 0 & 0.317846 & -0.317846 \tabularnewline
157 & 1 & 0.732817 & 0.267183 \tabularnewline
158 & 1 & 0.447049 & 0.552951 \tabularnewline
159 & 0 & 0.433028 & -0.433028 \tabularnewline
160 & 0 & 0.254603 & -0.254603 \tabularnewline
161 & 0 & 0.411012 & -0.411012 \tabularnewline
162 & 0 & 0.284719 & -0.284719 \tabularnewline
163 & 1 & 0.85105 & 0.14895 \tabularnewline
164 & 1 & -0.307299 & 1.3073 \tabularnewline
165 & 0 & 0.675604 & -0.675604 \tabularnewline
166 & 0 & 0.0467191 & -0.0467191 \tabularnewline
167 & 0 & 0.438661 & -0.438661 \tabularnewline
168 & 0 & 0.350089 & -0.350089 \tabularnewline
169 & 0 & 0.361457 & -0.361457 \tabularnewline
170 & 0 & 0.277975 & -0.277975 \tabularnewline
171 & 0 & 0.32773 & -0.32773 \tabularnewline
172 & 0 & 0.427982 & -0.427982 \tabularnewline
173 & 0 & 0.619847 & -0.619847 \tabularnewline
174 & 1 & 0.829839 & 0.170161 \tabularnewline
175 & 1 & 0.829839 & 0.170161 \tabularnewline
176 & 0 & 0.40404 & -0.40404 \tabularnewline
177 & 1 & 0.508135 & 0.491865 \tabularnewline
178 & 1 & 0.748625 & 0.251375 \tabularnewline
179 & 0 & 0.688219 & -0.688219 \tabularnewline
180 & 1 & 0.114592 & 0.885408 \tabularnewline
181 & 0 & 0.272007 & -0.272007 \tabularnewline
182 & 0 & 0.542617 & -0.542617 \tabularnewline
183 & 1 & 0.678246 & 0.321754 \tabularnewline
184 & 0 & 0.402925 & -0.402925 \tabularnewline
185 & 0 & 0.756775 & -0.756775 \tabularnewline
186 & 0 & 0.400521 & -0.400521 \tabularnewline
187 & 0 & 0.398482 & -0.398482 \tabularnewline
188 & 0 & 0.470444 & -0.470444 \tabularnewline
189 & 0 & 0.507996 & -0.507996 \tabularnewline
190 & 0 & 0.142849 & -0.142849 \tabularnewline
191 & 0 & 0.141118 & -0.141118 \tabularnewline
192 & 0 & 0.466729 & -0.466729 \tabularnewline
193 & 0 & 0.252282 & -0.252282 \tabularnewline
194 & 0 & 0.434562 & -0.434562 \tabularnewline
195 & 0 & 0.250122 & -0.250122 \tabularnewline
196 & 0 & 0.145841 & -0.145841 \tabularnewline
197 & 1 & 0.708459 & 0.291541 \tabularnewline
198 & 0 & 0.35851 & -0.35851 \tabularnewline
199 & 0 & 0.228929 & -0.228929 \tabularnewline
200 & 0 & 0.41805 & -0.41805 \tabularnewline
201 & 1 & 1.12382 & -0.12382 \tabularnewline
202 & 0 & 0.155523 & -0.155523 \tabularnewline
203 & 1 & 0.700349 & 0.299651 \tabularnewline
204 & 0 & 0.495668 & -0.495668 \tabularnewline
205 & 1 & 0.572137 & 0.427863 \tabularnewline
206 & 0 & 0.108693 & -0.108693 \tabularnewline
207 & 1 & 0.0552305 & 0.944769 \tabularnewline
208 & 0 & 0.0753732 & -0.0753732 \tabularnewline
209 & 0 & 0.591354 & -0.591354 \tabularnewline
210 & 0 & 0.346279 & -0.346279 \tabularnewline
211 & 0 & 0.00683716 & -0.00683716 \tabularnewline
212 & 1 & 0.740316 & 0.259684 \tabularnewline
213 & 1 & 0.461286 & 0.538714 \tabularnewline
214 & 0 & 0.26115 & -0.26115 \tabularnewline
215 & 1 & 0.703308 & 0.296692 \tabularnewline
216 & 1 & 0.457467 & 0.542533 \tabularnewline
217 & 0 & 0.334021 & -0.334021 \tabularnewline
218 & 1 & 0.869155 & 0.130845 \tabularnewline
219 & 0 & 0.109501 & -0.109501 \tabularnewline
220 & 0 & 0.40009 & -0.40009 \tabularnewline
221 & 1 & 0.63862 & 0.36138 \tabularnewline
222 & 0 & 0.141321 & -0.141321 \tabularnewline
223 & 1 & 0.46777 & 0.53223 \tabularnewline
224 & 1 & 0.63555 & 0.36445 \tabularnewline
225 & 1 & 0.794066 & 0.205934 \tabularnewline
226 & 0 & 0.0680742 & -0.0680742 \tabularnewline
227 & 1 & 0.657518 & 0.342482 \tabularnewline
228 & 0 & 0.239437 & -0.239437 \tabularnewline
229 & 1 & 0.45166 & 0.54834 \tabularnewline
230 & 1 & 0.680937 & 0.319063 \tabularnewline
231 & 1 & 0.861768 & 0.138232 \tabularnewline
232 & 1 & 0.572292 & 0.427708 \tabularnewline
233 & 0 & 0.311521 & -0.311521 \tabularnewline
234 & 1 & 0.886917 & 0.113083 \tabularnewline
235 & 1 & 0.480068 & 0.519932 \tabularnewline
236 & 1 & 0.164584 & 0.835416 \tabularnewline
237 & 0 & 0.0686154 & -0.0686154 \tabularnewline
238 & 1 & 0.695189 & 0.304811 \tabularnewline
239 & 1 & 0.231539 & 0.768461 \tabularnewline
240 & 0 & 0.320352 & -0.320352 \tabularnewline
241 & 1 & 0.447545 & 0.552455 \tabularnewline
242 & 0 & 0.172783 & -0.172783 \tabularnewline
243 & 0 & 0.383305 & -0.383305 \tabularnewline
244 & 0 & 0.675604 & -0.675604 \tabularnewline
245 & 0 & 0.301429 & -0.301429 \tabularnewline
246 & 0 & 0.459318 & -0.459318 \tabularnewline
247 & 1 & 0.804765 & 0.195235 \tabularnewline
248 & 1 & 0.514533 & 0.485467 \tabularnewline
249 & 1 & 0.542894 & 0.457106 \tabularnewline
250 & 1 & 0.642298 & 0.357702 \tabularnewline
251 & 1 & 0.709862 & 0.290138 \tabularnewline
252 & 1 & 0.289135 & 0.710865 \tabularnewline
253 & 0 & 0.323162 & -0.323162 \tabularnewline
254 & 0 & 0.245765 & -0.245765 \tabularnewline
255 & 1 & 0.851797 & 0.148203 \tabularnewline
256 & 0 & 0.377888 & -0.377888 \tabularnewline
257 & 0 & 0.212403 & -0.212403 \tabularnewline
258 & 1 & 0.419593 & 0.580407 \tabularnewline
259 & 0 & 0.411777 & -0.411777 \tabularnewline
260 & 0 & 0.505569 & -0.505569 \tabularnewline
261 & 0 & 0.0467191 & -0.0467191 \tabularnewline
262 & 0 & 0.308518 & -0.308518 \tabularnewline
263 & 0 & 0.409495 & -0.409495 \tabularnewline
264 & 0 & 0.383305 & -0.383305 \tabularnewline
265 & 0 & 0.352763 & -0.352763 \tabularnewline
266 & 0 & 0.137341 & -0.137341 \tabularnewline
267 & 0 & 0.237684 & -0.237684 \tabularnewline
268 & 0 & 0.440699 & -0.440699 \tabularnewline
269 & 0 & 0.455749 & -0.455749 \tabularnewline
270 & 0 & 0.123845 & -0.123845 \tabularnewline
271 & 0 & 0.539236 & -0.539236 \tabularnewline
272 & 0 & 0.209485 & -0.209485 \tabularnewline
273 & 0 & 0.360775 & -0.360775 \tabularnewline
274 & 0 & 0.359732 & -0.359732 \tabularnewline
275 & 0 & 0.400964 & -0.400964 \tabularnewline
276 & 1 & 0.490055 & 0.509945 \tabularnewline
277 & 0 & 0.477787 & -0.477787 \tabularnewline
278 & 0 & -0.0145142 & 0.0145142 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=271124&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]1[/C][C]0.73072[/C][C]0.26928[/C][/ROW]
[ROW][C]2[/C][C]1[/C][C]0.677469[/C][C]0.322531[/C][/ROW]
[ROW][C]3[/C][C]1[/C][C]0.733328[/C][C]0.266672[/C][/ROW]
[ROW][C]4[/C][C]1[/C][C]0.854463[/C][C]0.145537[/C][/ROW]
[ROW][C]5[/C][C]1[/C][C]0.667921[/C][C]0.332079[/C][/ROW]
[ROW][C]6[/C][C]1[/C][C]1.27107[/C][C]-0.271072[/C][/ROW]
[ROW][C]7[/C][C]1[/C][C]0.77323[/C][C]0.22677[/C][/ROW]
[ROW][C]8[/C][C]1[/C][C]0.376067[/C][C]0.623933[/C][/ROW]
[ROW][C]9[/C][C]1[/C][C]0.771247[/C][C]0.228753[/C][/ROW]
[ROW][C]10[/C][C]1[/C][C]0.928922[/C][C]0.0710785[/C][/ROW]
[ROW][C]11[/C][C]1[/C][C]0.864218[/C][C]0.135782[/C][/ROW]
[ROW][C]12[/C][C]1[/C][C]0.890666[/C][C]0.109334[/C][/ROW]
[ROW][C]13[/C][C]1[/C][C]0.562966[/C][C]0.437034[/C][/ROW]
[ROW][C]14[/C][C]1[/C][C]0.89234[/C][C]0.10766[/C][/ROW]
[ROW][C]15[/C][C]1[/C][C]0.181975[/C][C]0.818025[/C][/ROW]
[ROW][C]16[/C][C]0[/C][C]0.380366[/C][C]-0.380366[/C][/ROW]
[ROW][C]17[/C][C]1[/C][C]0.81906[/C][C]0.18094[/C][/ROW]
[ROW][C]18[/C][C]1[/C][C]0.608769[/C][C]0.391231[/C][/ROW]
[ROW][C]19[/C][C]0[/C][C]0.687314[/C][C]-0.687314[/C][/ROW]
[ROW][C]20[/C][C]1[/C][C]0.600873[/C][C]0.399127[/C][/ROW]
[ROW][C]21[/C][C]1[/C][C]0.879256[/C][C]0.120744[/C][/ROW]
[ROW][C]22[/C][C]1[/C][C]0.666068[/C][C]0.333932[/C][/ROW]
[ROW][C]23[/C][C]1[/C][C]1.27367[/C][C]-0.273672[/C][/ROW]
[ROW][C]24[/C][C]1[/C][C]0.983232[/C][C]0.0167683[/C][/ROW]
[ROW][C]25[/C][C]1[/C][C]0.720532[/C][C]0.279468[/C][/ROW]
[ROW][C]26[/C][C]1[/C][C]1.4501[/C][C]-0.450103[/C][/ROW]
[ROW][C]27[/C][C]0[/C][C]0.574274[/C][C]-0.574274[/C][/ROW]
[ROW][C]28[/C][C]0[/C][C]0.338395[/C][C]-0.338395[/C][/ROW]
[ROW][C]29[/C][C]1[/C][C]0.771866[/C][C]0.228134[/C][/ROW]
[ROW][C]30[/C][C]1[/C][C]0.81066[/C][C]0.18934[/C][/ROW]
[ROW][C]31[/C][C]1[/C][C]0.425666[/C][C]0.574334[/C][/ROW]
[ROW][C]32[/C][C]1[/C][C]0.813451[/C][C]0.186549[/C][/ROW]
[ROW][C]33[/C][C]1[/C][C]0.661705[/C][C]0.338295[/C][/ROW]
[ROW][C]34[/C][C]1[/C][C]0.82023[/C][C]0.17977[/C][/ROW]
[ROW][C]35[/C][C]1[/C][C]0.437856[/C][C]0.562144[/C][/ROW]
[ROW][C]36[/C][C]1[/C][C]0.392859[/C][C]0.607141[/C][/ROW]
[ROW][C]37[/C][C]1[/C][C]0.83579[/C][C]0.16421[/C][/ROW]
[ROW][C]38[/C][C]0[/C][C]0.64145[/C][C]-0.64145[/C][/ROW]
[ROW][C]39[/C][C]1[/C][C]0.865613[/C][C]0.134387[/C][/ROW]
[ROW][C]40[/C][C]1[/C][C]0.776827[/C][C]0.223173[/C][/ROW]
[ROW][C]41[/C][C]1[/C][C]0.559992[/C][C]0.440008[/C][/ROW]
[ROW][C]42[/C][C]1[/C][C]0.707014[/C][C]0.292986[/C][/ROW]
[ROW][C]43[/C][C]1[/C][C]0.80111[/C][C]0.19889[/C][/ROW]
[ROW][C]44[/C][C]1[/C][C]0.860202[/C][C]0.139798[/C][/ROW]
[ROW][C]45[/C][C]0[/C][C]0.130864[/C][C]-0.130864[/C][/ROW]
[ROW][C]46[/C][C]1[/C][C]0.998942[/C][C]0.0010578[/C][/ROW]
[ROW][C]47[/C][C]1[/C][C]0.480244[/C][C]0.519756[/C][/ROW]
[ROW][C]48[/C][C]0[/C][C]0.365637[/C][C]-0.365637[/C][/ROW]
[ROW][C]49[/C][C]1[/C][C]0.459503[/C][C]0.540497[/C][/ROW]
[ROW][C]50[/C][C]0[/C][C]0.283268[/C][C]-0.283268[/C][/ROW]
[ROW][C]51[/C][C]0[/C][C]0.518822[/C][C]-0.518822[/C][/ROW]
[ROW][C]52[/C][C]0[/C][C]0.0942748[/C][C]-0.0942748[/C][/ROW]
[ROW][C]53[/C][C]1[/C][C]0.783616[/C][C]0.216384[/C][/ROW]
[ROW][C]54[/C][C]0[/C][C]0.811383[/C][C]-0.811383[/C][/ROW]
[ROW][C]55[/C][C]1[/C][C]0.559557[/C][C]0.440443[/C][/ROW]
[ROW][C]56[/C][C]1[/C][C]0.532693[/C][C]0.467307[/C][/ROW]
[ROW][C]57[/C][C]0[/C][C]0.694527[/C][C]-0.694527[/C][/ROW]
[ROW][C]58[/C][C]1[/C][C]0.671007[/C][C]0.328993[/C][/ROW]
[ROW][C]59[/C][C]0[/C][C]0.177986[/C][C]-0.177986[/C][/ROW]
[ROW][C]60[/C][C]0[/C][C]0.336251[/C][C]-0.336251[/C][/ROW]
[ROW][C]61[/C][C]1[/C][C]0.841963[/C][C]0.158037[/C][/ROW]
[ROW][C]62[/C][C]1[/C][C]0.837945[/C][C]0.162055[/C][/ROW]
[ROW][C]63[/C][C]1[/C][C]0.462031[/C][C]0.537969[/C][/ROW]
[ROW][C]64[/C][C]1[/C][C]1.06087[/C][C]-0.0608743[/C][/ROW]
[ROW][C]65[/C][C]1[/C][C]1.05803[/C][C]-0.0580349[/C][/ROW]
[ROW][C]66[/C][C]0[/C][C]0.21632[/C][C]-0.21632[/C][/ROW]
[ROW][C]67[/C][C]1[/C][C]0.964996[/C][C]0.0350038[/C][/ROW]
[ROW][C]68[/C][C]1[/C][C]1.16671[/C][C]-0.166709[/C][/ROW]
[ROW][C]69[/C][C]1[/C][C]0.994421[/C][C]0.00557887[/C][/ROW]
[ROW][C]70[/C][C]0[/C][C]0.439277[/C][C]-0.439277[/C][/ROW]
[ROW][C]71[/C][C]1[/C][C]0.88478[/C][C]0.11522[/C][/ROW]
[ROW][C]72[/C][C]1[/C][C]0.614064[/C][C]0.385936[/C][/ROW]
[ROW][C]73[/C][C]0[/C][C]0.279819[/C][C]-0.279819[/C][/ROW]
[ROW][C]74[/C][C]0[/C][C]0.322887[/C][C]-0.322887[/C][/ROW]
[ROW][C]75[/C][C]1[/C][C]0.689342[/C][C]0.310658[/C][/ROW]
[ROW][C]76[/C][C]1[/C][C]0.825715[/C][C]0.174285[/C][/ROW]
[ROW][C]77[/C][C]0[/C][C]0.449601[/C][C]-0.449601[/C][/ROW]
[ROW][C]78[/C][C]1[/C][C]0.798272[/C][C]0.201728[/C][/ROW]
[ROW][C]79[/C][C]0[/C][C]0.280956[/C][C]-0.280956[/C][/ROW]
[ROW][C]80[/C][C]1[/C][C]0.509576[/C][C]0.490424[/C][/ROW]
[ROW][C]81[/C][C]0[/C][C]0.392584[/C][C]-0.392584[/C][/ROW]
[ROW][C]82[/C][C]0[/C][C]0.547718[/C][C]-0.547718[/C][/ROW]
[ROW][C]83[/C][C]0[/C][C]0.318231[/C][C]-0.318231[/C][/ROW]
[ROW][C]84[/C][C]0[/C][C]0.507883[/C][C]-0.507883[/C][/ROW]
[ROW][C]85[/C][C]0[/C][C]0.646019[/C][C]-0.646019[/C][/ROW]
[ROW][C]86[/C][C]0[/C][C]0.420195[/C][C]-0.420195[/C][/ROW]
[ROW][C]87[/C][C]0[/C][C]0.279597[/C][C]-0.279597[/C][/ROW]
[ROW][C]88[/C][C]0[/C][C]0.224419[/C][C]-0.224419[/C][/ROW]
[ROW][C]89[/C][C]0[/C][C]0.38156[/C][C]-0.38156[/C][/ROW]
[ROW][C]90[/C][C]0[/C][C]0.647451[/C][C]-0.647451[/C][/ROW]
[ROW][C]91[/C][C]0[/C][C]0.234205[/C][C]-0.234205[/C][/ROW]
[ROW][C]92[/C][C]0[/C][C]0.610485[/C][C]-0.610485[/C][/ROW]
[ROW][C]93[/C][C]0[/C][C]0.730207[/C][C]-0.730207[/C][/ROW]
[ROW][C]94[/C][C]0[/C][C]0.427427[/C][C]-0.427427[/C][/ROW]
[ROW][C]95[/C][C]0[/C][C]0.470441[/C][C]-0.470441[/C][/ROW]
[ROW][C]96[/C][C]0[/C][C]0.624971[/C][C]-0.624971[/C][/ROW]
[ROW][C]97[/C][C]0[/C][C]0.642832[/C][C]-0.642832[/C][/ROW]
[ROW][C]98[/C][C]0[/C][C]0.416062[/C][C]-0.416062[/C][/ROW]
[ROW][C]99[/C][C]0[/C][C]0.369288[/C][C]-0.369288[/C][/ROW]
[ROW][C]100[/C][C]0[/C][C]0.512241[/C][C]-0.512241[/C][/ROW]
[ROW][C]101[/C][C]0[/C][C]0.224283[/C][C]-0.224283[/C][/ROW]
[ROW][C]102[/C][C]0[/C][C]0.458474[/C][C]-0.458474[/C][/ROW]
[ROW][C]103[/C][C]0[/C][C]0.413013[/C][C]-0.413013[/C][/ROW]
[ROW][C]104[/C][C]0[/C][C]0.656918[/C][C]-0.656918[/C][/ROW]
[ROW][C]105[/C][C]0[/C][C]0.358621[/C][C]-0.358621[/C][/ROW]
[ROW][C]106[/C][C]0[/C][C]0.492525[/C][C]-0.492525[/C][/ROW]
[ROW][C]107[/C][C]0[/C][C]0.440359[/C][C]-0.440359[/C][/ROW]
[ROW][C]108[/C][C]0[/C][C]0.489309[/C][C]-0.489309[/C][/ROW]
[ROW][C]109[/C][C]0[/C][C]0.17438[/C][C]-0.17438[/C][/ROW]
[ROW][C]110[/C][C]0[/C][C]0.437161[/C][C]-0.437161[/C][/ROW]
[ROW][C]111[/C][C]0[/C][C]0.560244[/C][C]-0.560244[/C][/ROW]
[ROW][C]112[/C][C]0[/C][C]0.443061[/C][C]-0.443061[/C][/ROW]
[ROW][C]113[/C][C]1[/C][C]0.151501[/C][C]0.848499[/C][/ROW]
[ROW][C]114[/C][C]1[/C][C]0.0457769[/C][C]0.954223[/C][/ROW]
[ROW][C]115[/C][C]1[/C][C]0.686836[/C][C]0.313164[/C][/ROW]
[ROW][C]116[/C][C]1[/C][C]0.706021[/C][C]0.293979[/C][/ROW]
[ROW][C]117[/C][C]0[/C][C]0.325451[/C][C]-0.325451[/C][/ROW]
[ROW][C]118[/C][C]0[/C][C]0.221113[/C][C]-0.221113[/C][/ROW]
[ROW][C]119[/C][C]1[/C][C]0.952974[/C][C]0.0470265[/C][/ROW]
[ROW][C]120[/C][C]1[/C][C]0.664543[/C][C]0.335457[/C][/ROW]
[ROW][C]121[/C][C]1[/C][C]0.654974[/C][C]0.345026[/C][/ROW]
[ROW][C]122[/C][C]1[/C][C]0.200784[/C][C]0.799216[/C][/ROW]
[ROW][C]123[/C][C]1[/C][C]0.660679[/C][C]0.339321[/C][/ROW]
[ROW][C]124[/C][C]1[/C][C]-0.0358108[/C][C]1.03581[/C][/ROW]
[ROW][C]125[/C][C]1[/C][C]0.42412[/C][C]0.57588[/C][/ROW]
[ROW][C]126[/C][C]1[/C][C]0.515274[/C][C]0.484726[/C][/ROW]
[ROW][C]127[/C][C]1[/C][C]0.635084[/C][C]0.364916[/C][/ROW]
[ROW][C]128[/C][C]1[/C][C]0.325164[/C][C]0.674836[/C][/ROW]
[ROW][C]129[/C][C]0[/C][C]0.461594[/C][C]-0.461594[/C][/ROW]
[ROW][C]130[/C][C]1[/C][C]0.384516[/C][C]0.615484[/C][/ROW]
[ROW][C]131[/C][C]1[/C][C]0.483802[/C][C]0.516198[/C][/ROW]
[ROW][C]132[/C][C]1[/C][C]0.750887[/C][C]0.249113[/C][/ROW]
[ROW][C]133[/C][C]1[/C][C]0.474494[/C][C]0.525506[/C][/ROW]
[ROW][C]134[/C][C]1[/C][C]0.44747[/C][C]0.55253[/C][/ROW]
[ROW][C]135[/C][C]1[/C][C]0.248905[/C][C]0.751095[/C][/ROW]
[ROW][C]136[/C][C]1[/C][C]0.270335[/C][C]0.729665[/C][/ROW]
[ROW][C]137[/C][C]1[/C][C]0.501356[/C][C]0.498644[/C][/ROW]
[ROW][C]138[/C][C]1[/C][C]-0.00370064[/C][C]1.0037[/C][/ROW]
[ROW][C]139[/C][C]1[/C][C]0.65872[/C][C]0.34128[/C][/ROW]
[ROW][C]140[/C][C]1[/C][C]0.447163[/C][C]0.552837[/C][/ROW]
[ROW][C]141[/C][C]0[/C][C]0.237784[/C][C]-0.237784[/C][/ROW]
[ROW][C]142[/C][C]1[/C][C]0.816696[/C][C]0.183304[/C][/ROW]
[ROW][C]143[/C][C]1[/C][C]0.771337[/C][C]0.228663[/C][/ROW]
[ROW][C]144[/C][C]1[/C][C]0.518329[/C][C]0.481671[/C][/ROW]
[ROW][C]145[/C][C]1[/C][C]0.682019[/C][C]0.317981[/C][/ROW]
[ROW][C]146[/C][C]1[/C][C]0.645162[/C][C]0.354838[/C][/ROW]
[ROW][C]147[/C][C]1[/C][C]0.543499[/C][C]0.456501[/C][/ROW]
[ROW][C]148[/C][C]1[/C][C]0.453655[/C][C]0.546345[/C][/ROW]
[ROW][C]149[/C][C]1[/C][C]0.655823[/C][C]0.344177[/C][/ROW]
[ROW][C]150[/C][C]1[/C][C]0.830002[/C][C]0.169998[/C][/ROW]
[ROW][C]151[/C][C]1[/C][C]0.943026[/C][C]0.0569735[/C][/ROW]
[ROW][C]152[/C][C]1[/C][C]0.416192[/C][C]0.583808[/C][/ROW]
[ROW][C]153[/C][C]1[/C][C]0.713131[/C][C]0.286869[/C][/ROW]
[ROW][C]154[/C][C]1[/C][C]0.868959[/C][C]0.131041[/C][/ROW]
[ROW][C]155[/C][C]0[/C][C]0.157166[/C][C]-0.157166[/C][/ROW]
[ROW][C]156[/C][C]0[/C][C]0.317846[/C][C]-0.317846[/C][/ROW]
[ROW][C]157[/C][C]1[/C][C]0.732817[/C][C]0.267183[/C][/ROW]
[ROW][C]158[/C][C]1[/C][C]0.447049[/C][C]0.552951[/C][/ROW]
[ROW][C]159[/C][C]0[/C][C]0.433028[/C][C]-0.433028[/C][/ROW]
[ROW][C]160[/C][C]0[/C][C]0.254603[/C][C]-0.254603[/C][/ROW]
[ROW][C]161[/C][C]0[/C][C]0.411012[/C][C]-0.411012[/C][/ROW]
[ROW][C]162[/C][C]0[/C][C]0.284719[/C][C]-0.284719[/C][/ROW]
[ROW][C]163[/C][C]1[/C][C]0.85105[/C][C]0.14895[/C][/ROW]
[ROW][C]164[/C][C]1[/C][C]-0.307299[/C][C]1.3073[/C][/ROW]
[ROW][C]165[/C][C]0[/C][C]0.675604[/C][C]-0.675604[/C][/ROW]
[ROW][C]166[/C][C]0[/C][C]0.0467191[/C][C]-0.0467191[/C][/ROW]
[ROW][C]167[/C][C]0[/C][C]0.438661[/C][C]-0.438661[/C][/ROW]
[ROW][C]168[/C][C]0[/C][C]0.350089[/C][C]-0.350089[/C][/ROW]
[ROW][C]169[/C][C]0[/C][C]0.361457[/C][C]-0.361457[/C][/ROW]
[ROW][C]170[/C][C]0[/C][C]0.277975[/C][C]-0.277975[/C][/ROW]
[ROW][C]171[/C][C]0[/C][C]0.32773[/C][C]-0.32773[/C][/ROW]
[ROW][C]172[/C][C]0[/C][C]0.427982[/C][C]-0.427982[/C][/ROW]
[ROW][C]173[/C][C]0[/C][C]0.619847[/C][C]-0.619847[/C][/ROW]
[ROW][C]174[/C][C]1[/C][C]0.829839[/C][C]0.170161[/C][/ROW]
[ROW][C]175[/C][C]1[/C][C]0.829839[/C][C]0.170161[/C][/ROW]
[ROW][C]176[/C][C]0[/C][C]0.40404[/C][C]-0.40404[/C][/ROW]
[ROW][C]177[/C][C]1[/C][C]0.508135[/C][C]0.491865[/C][/ROW]
[ROW][C]178[/C][C]1[/C][C]0.748625[/C][C]0.251375[/C][/ROW]
[ROW][C]179[/C][C]0[/C][C]0.688219[/C][C]-0.688219[/C][/ROW]
[ROW][C]180[/C][C]1[/C][C]0.114592[/C][C]0.885408[/C][/ROW]
[ROW][C]181[/C][C]0[/C][C]0.272007[/C][C]-0.272007[/C][/ROW]
[ROW][C]182[/C][C]0[/C][C]0.542617[/C][C]-0.542617[/C][/ROW]
[ROW][C]183[/C][C]1[/C][C]0.678246[/C][C]0.321754[/C][/ROW]
[ROW][C]184[/C][C]0[/C][C]0.402925[/C][C]-0.402925[/C][/ROW]
[ROW][C]185[/C][C]0[/C][C]0.756775[/C][C]-0.756775[/C][/ROW]
[ROW][C]186[/C][C]0[/C][C]0.400521[/C][C]-0.400521[/C][/ROW]
[ROW][C]187[/C][C]0[/C][C]0.398482[/C][C]-0.398482[/C][/ROW]
[ROW][C]188[/C][C]0[/C][C]0.470444[/C][C]-0.470444[/C][/ROW]
[ROW][C]189[/C][C]0[/C][C]0.507996[/C][C]-0.507996[/C][/ROW]
[ROW][C]190[/C][C]0[/C][C]0.142849[/C][C]-0.142849[/C][/ROW]
[ROW][C]191[/C][C]0[/C][C]0.141118[/C][C]-0.141118[/C][/ROW]
[ROW][C]192[/C][C]0[/C][C]0.466729[/C][C]-0.466729[/C][/ROW]
[ROW][C]193[/C][C]0[/C][C]0.252282[/C][C]-0.252282[/C][/ROW]
[ROW][C]194[/C][C]0[/C][C]0.434562[/C][C]-0.434562[/C][/ROW]
[ROW][C]195[/C][C]0[/C][C]0.250122[/C][C]-0.250122[/C][/ROW]
[ROW][C]196[/C][C]0[/C][C]0.145841[/C][C]-0.145841[/C][/ROW]
[ROW][C]197[/C][C]1[/C][C]0.708459[/C][C]0.291541[/C][/ROW]
[ROW][C]198[/C][C]0[/C][C]0.35851[/C][C]-0.35851[/C][/ROW]
[ROW][C]199[/C][C]0[/C][C]0.228929[/C][C]-0.228929[/C][/ROW]
[ROW][C]200[/C][C]0[/C][C]0.41805[/C][C]-0.41805[/C][/ROW]
[ROW][C]201[/C][C]1[/C][C]1.12382[/C][C]-0.12382[/C][/ROW]
[ROW][C]202[/C][C]0[/C][C]0.155523[/C][C]-0.155523[/C][/ROW]
[ROW][C]203[/C][C]1[/C][C]0.700349[/C][C]0.299651[/C][/ROW]
[ROW][C]204[/C][C]0[/C][C]0.495668[/C][C]-0.495668[/C][/ROW]
[ROW][C]205[/C][C]1[/C][C]0.572137[/C][C]0.427863[/C][/ROW]
[ROW][C]206[/C][C]0[/C][C]0.108693[/C][C]-0.108693[/C][/ROW]
[ROW][C]207[/C][C]1[/C][C]0.0552305[/C][C]0.944769[/C][/ROW]
[ROW][C]208[/C][C]0[/C][C]0.0753732[/C][C]-0.0753732[/C][/ROW]
[ROW][C]209[/C][C]0[/C][C]0.591354[/C][C]-0.591354[/C][/ROW]
[ROW][C]210[/C][C]0[/C][C]0.346279[/C][C]-0.346279[/C][/ROW]
[ROW][C]211[/C][C]0[/C][C]0.00683716[/C][C]-0.00683716[/C][/ROW]
[ROW][C]212[/C][C]1[/C][C]0.740316[/C][C]0.259684[/C][/ROW]
[ROW][C]213[/C][C]1[/C][C]0.461286[/C][C]0.538714[/C][/ROW]
[ROW][C]214[/C][C]0[/C][C]0.26115[/C][C]-0.26115[/C][/ROW]
[ROW][C]215[/C][C]1[/C][C]0.703308[/C][C]0.296692[/C][/ROW]
[ROW][C]216[/C][C]1[/C][C]0.457467[/C][C]0.542533[/C][/ROW]
[ROW][C]217[/C][C]0[/C][C]0.334021[/C][C]-0.334021[/C][/ROW]
[ROW][C]218[/C][C]1[/C][C]0.869155[/C][C]0.130845[/C][/ROW]
[ROW][C]219[/C][C]0[/C][C]0.109501[/C][C]-0.109501[/C][/ROW]
[ROW][C]220[/C][C]0[/C][C]0.40009[/C][C]-0.40009[/C][/ROW]
[ROW][C]221[/C][C]1[/C][C]0.63862[/C][C]0.36138[/C][/ROW]
[ROW][C]222[/C][C]0[/C][C]0.141321[/C][C]-0.141321[/C][/ROW]
[ROW][C]223[/C][C]1[/C][C]0.46777[/C][C]0.53223[/C][/ROW]
[ROW][C]224[/C][C]1[/C][C]0.63555[/C][C]0.36445[/C][/ROW]
[ROW][C]225[/C][C]1[/C][C]0.794066[/C][C]0.205934[/C][/ROW]
[ROW][C]226[/C][C]0[/C][C]0.0680742[/C][C]-0.0680742[/C][/ROW]
[ROW][C]227[/C][C]1[/C][C]0.657518[/C][C]0.342482[/C][/ROW]
[ROW][C]228[/C][C]0[/C][C]0.239437[/C][C]-0.239437[/C][/ROW]
[ROW][C]229[/C][C]1[/C][C]0.45166[/C][C]0.54834[/C][/ROW]
[ROW][C]230[/C][C]1[/C][C]0.680937[/C][C]0.319063[/C][/ROW]
[ROW][C]231[/C][C]1[/C][C]0.861768[/C][C]0.138232[/C][/ROW]
[ROW][C]232[/C][C]1[/C][C]0.572292[/C][C]0.427708[/C][/ROW]
[ROW][C]233[/C][C]0[/C][C]0.311521[/C][C]-0.311521[/C][/ROW]
[ROW][C]234[/C][C]1[/C][C]0.886917[/C][C]0.113083[/C][/ROW]
[ROW][C]235[/C][C]1[/C][C]0.480068[/C][C]0.519932[/C][/ROW]
[ROW][C]236[/C][C]1[/C][C]0.164584[/C][C]0.835416[/C][/ROW]
[ROW][C]237[/C][C]0[/C][C]0.0686154[/C][C]-0.0686154[/C][/ROW]
[ROW][C]238[/C][C]1[/C][C]0.695189[/C][C]0.304811[/C][/ROW]
[ROW][C]239[/C][C]1[/C][C]0.231539[/C][C]0.768461[/C][/ROW]
[ROW][C]240[/C][C]0[/C][C]0.320352[/C][C]-0.320352[/C][/ROW]
[ROW][C]241[/C][C]1[/C][C]0.447545[/C][C]0.552455[/C][/ROW]
[ROW][C]242[/C][C]0[/C][C]0.172783[/C][C]-0.172783[/C][/ROW]
[ROW][C]243[/C][C]0[/C][C]0.383305[/C][C]-0.383305[/C][/ROW]
[ROW][C]244[/C][C]0[/C][C]0.675604[/C][C]-0.675604[/C][/ROW]
[ROW][C]245[/C][C]0[/C][C]0.301429[/C][C]-0.301429[/C][/ROW]
[ROW][C]246[/C][C]0[/C][C]0.459318[/C][C]-0.459318[/C][/ROW]
[ROW][C]247[/C][C]1[/C][C]0.804765[/C][C]0.195235[/C][/ROW]
[ROW][C]248[/C][C]1[/C][C]0.514533[/C][C]0.485467[/C][/ROW]
[ROW][C]249[/C][C]1[/C][C]0.542894[/C][C]0.457106[/C][/ROW]
[ROW][C]250[/C][C]1[/C][C]0.642298[/C][C]0.357702[/C][/ROW]
[ROW][C]251[/C][C]1[/C][C]0.709862[/C][C]0.290138[/C][/ROW]
[ROW][C]252[/C][C]1[/C][C]0.289135[/C][C]0.710865[/C][/ROW]
[ROW][C]253[/C][C]0[/C][C]0.323162[/C][C]-0.323162[/C][/ROW]
[ROW][C]254[/C][C]0[/C][C]0.245765[/C][C]-0.245765[/C][/ROW]
[ROW][C]255[/C][C]1[/C][C]0.851797[/C][C]0.148203[/C][/ROW]
[ROW][C]256[/C][C]0[/C][C]0.377888[/C][C]-0.377888[/C][/ROW]
[ROW][C]257[/C][C]0[/C][C]0.212403[/C][C]-0.212403[/C][/ROW]
[ROW][C]258[/C][C]1[/C][C]0.419593[/C][C]0.580407[/C][/ROW]
[ROW][C]259[/C][C]0[/C][C]0.411777[/C][C]-0.411777[/C][/ROW]
[ROW][C]260[/C][C]0[/C][C]0.505569[/C][C]-0.505569[/C][/ROW]
[ROW][C]261[/C][C]0[/C][C]0.0467191[/C][C]-0.0467191[/C][/ROW]
[ROW][C]262[/C][C]0[/C][C]0.308518[/C][C]-0.308518[/C][/ROW]
[ROW][C]263[/C][C]0[/C][C]0.409495[/C][C]-0.409495[/C][/ROW]
[ROW][C]264[/C][C]0[/C][C]0.383305[/C][C]-0.383305[/C][/ROW]
[ROW][C]265[/C][C]0[/C][C]0.352763[/C][C]-0.352763[/C][/ROW]
[ROW][C]266[/C][C]0[/C][C]0.137341[/C][C]-0.137341[/C][/ROW]
[ROW][C]267[/C][C]0[/C][C]0.237684[/C][C]-0.237684[/C][/ROW]
[ROW][C]268[/C][C]0[/C][C]0.440699[/C][C]-0.440699[/C][/ROW]
[ROW][C]269[/C][C]0[/C][C]0.455749[/C][C]-0.455749[/C][/ROW]
[ROW][C]270[/C][C]0[/C][C]0.123845[/C][C]-0.123845[/C][/ROW]
[ROW][C]271[/C][C]0[/C][C]0.539236[/C][C]-0.539236[/C][/ROW]
[ROW][C]272[/C][C]0[/C][C]0.209485[/C][C]-0.209485[/C][/ROW]
[ROW][C]273[/C][C]0[/C][C]0.360775[/C][C]-0.360775[/C][/ROW]
[ROW][C]274[/C][C]0[/C][C]0.359732[/C][C]-0.359732[/C][/ROW]
[ROW][C]275[/C][C]0[/C][C]0.400964[/C][C]-0.400964[/C][/ROW]
[ROW][C]276[/C][C]1[/C][C]0.490055[/C][C]0.509945[/C][/ROW]
[ROW][C]277[/C][C]0[/C][C]0.477787[/C][C]-0.477787[/C][/ROW]
[ROW][C]278[/C][C]0[/C][C]-0.0145142[/C][C]0.0145142[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=271124&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=271124&T=4

As an alternative you can also use a QR Code:  
QR Code


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

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
110.730720.26928
210.6774690.322531
310.7333280.266672
410.8544630.145537
510.6679210.332079
611.27107-0.271072
710.773230.22677
810.3760670.623933
910.7712470.228753
1010.9289220.0710785
1110.8642180.135782
1210.8906660.109334
1310.5629660.437034
1410.892340.10766
1510.1819750.818025
1600.380366-0.380366
1710.819060.18094
1810.6087690.391231
1900.687314-0.687314
2010.6008730.399127
2110.8792560.120744
2210.6660680.333932
2311.27367-0.273672
2410.9832320.0167683
2510.7205320.279468
2611.4501-0.450103
2700.574274-0.574274
2800.338395-0.338395
2910.7718660.228134
3010.810660.18934
3110.4256660.574334
3210.8134510.186549
3310.6617050.338295
3410.820230.17977
3510.4378560.562144
3610.3928590.607141
3710.835790.16421
3800.64145-0.64145
3910.8656130.134387
4010.7768270.223173
4110.5599920.440008
4210.7070140.292986
4310.801110.19889
4410.8602020.139798
4500.130864-0.130864
4610.9989420.0010578
4710.4802440.519756
4800.365637-0.365637
4910.4595030.540497
5000.283268-0.283268
5100.518822-0.518822
5200.0942748-0.0942748
5310.7836160.216384
5400.811383-0.811383
5510.5595570.440443
5610.5326930.467307
5700.694527-0.694527
5810.6710070.328993
5900.177986-0.177986
6000.336251-0.336251
6110.8419630.158037
6210.8379450.162055
6310.4620310.537969
6411.06087-0.0608743
6511.05803-0.0580349
6600.21632-0.21632
6710.9649960.0350038
6811.16671-0.166709
6910.9944210.00557887
7000.439277-0.439277
7110.884780.11522
7210.6140640.385936
7300.279819-0.279819
7400.322887-0.322887
7510.6893420.310658
7610.8257150.174285
7700.449601-0.449601
7810.7982720.201728
7900.280956-0.280956
8010.5095760.490424
8100.392584-0.392584
8200.547718-0.547718
8300.318231-0.318231
8400.507883-0.507883
8500.646019-0.646019
8600.420195-0.420195
8700.279597-0.279597
8800.224419-0.224419
8900.38156-0.38156
9000.647451-0.647451
9100.234205-0.234205
9200.610485-0.610485
9300.730207-0.730207
9400.427427-0.427427
9500.470441-0.470441
9600.624971-0.624971
9700.642832-0.642832
9800.416062-0.416062
9900.369288-0.369288
10000.512241-0.512241
10100.224283-0.224283
10200.458474-0.458474
10300.413013-0.413013
10400.656918-0.656918
10500.358621-0.358621
10600.492525-0.492525
10700.440359-0.440359
10800.489309-0.489309
10900.17438-0.17438
11000.437161-0.437161
11100.560244-0.560244
11200.443061-0.443061
11310.1515010.848499
11410.04577690.954223
11510.6868360.313164
11610.7060210.293979
11700.325451-0.325451
11800.221113-0.221113
11910.9529740.0470265
12010.6645430.335457
12110.6549740.345026
12210.2007840.799216
12310.6606790.339321
1241-0.03581081.03581
12510.424120.57588
12610.5152740.484726
12710.6350840.364916
12810.3251640.674836
12900.461594-0.461594
13010.3845160.615484
13110.4838020.516198
13210.7508870.249113
13310.4744940.525506
13410.447470.55253
13510.2489050.751095
13610.2703350.729665
13710.5013560.498644
1381-0.003700641.0037
13910.658720.34128
14010.4471630.552837
14100.237784-0.237784
14210.8166960.183304
14310.7713370.228663
14410.5183290.481671
14510.6820190.317981
14610.6451620.354838
14710.5434990.456501
14810.4536550.546345
14910.6558230.344177
15010.8300020.169998
15110.9430260.0569735
15210.4161920.583808
15310.7131310.286869
15410.8689590.131041
15500.157166-0.157166
15600.317846-0.317846
15710.7328170.267183
15810.4470490.552951
15900.433028-0.433028
16000.254603-0.254603
16100.411012-0.411012
16200.284719-0.284719
16310.851050.14895
1641-0.3072991.3073
16500.675604-0.675604
16600.0467191-0.0467191
16700.438661-0.438661
16800.350089-0.350089
16900.361457-0.361457
17000.277975-0.277975
17100.32773-0.32773
17200.427982-0.427982
17300.619847-0.619847
17410.8298390.170161
17510.8298390.170161
17600.40404-0.40404
17710.5081350.491865
17810.7486250.251375
17900.688219-0.688219
18010.1145920.885408
18100.272007-0.272007
18200.542617-0.542617
18310.6782460.321754
18400.402925-0.402925
18500.756775-0.756775
18600.400521-0.400521
18700.398482-0.398482
18800.470444-0.470444
18900.507996-0.507996
19000.142849-0.142849
19100.141118-0.141118
19200.466729-0.466729
19300.252282-0.252282
19400.434562-0.434562
19500.250122-0.250122
19600.145841-0.145841
19710.7084590.291541
19800.35851-0.35851
19900.228929-0.228929
20000.41805-0.41805
20111.12382-0.12382
20200.155523-0.155523
20310.7003490.299651
20400.495668-0.495668
20510.5721370.427863
20600.108693-0.108693
20710.05523050.944769
20800.0753732-0.0753732
20900.591354-0.591354
21000.346279-0.346279
21100.00683716-0.00683716
21210.7403160.259684
21310.4612860.538714
21400.26115-0.26115
21510.7033080.296692
21610.4574670.542533
21700.334021-0.334021
21810.8691550.130845
21900.109501-0.109501
22000.40009-0.40009
22110.638620.36138
22200.141321-0.141321
22310.467770.53223
22410.635550.36445
22510.7940660.205934
22600.0680742-0.0680742
22710.6575180.342482
22800.239437-0.239437
22910.451660.54834
23010.6809370.319063
23110.8617680.138232
23210.5722920.427708
23300.311521-0.311521
23410.8869170.113083
23510.4800680.519932
23610.1645840.835416
23700.0686154-0.0686154
23810.6951890.304811
23910.2315390.768461
24000.320352-0.320352
24110.4475450.552455
24200.172783-0.172783
24300.383305-0.383305
24400.675604-0.675604
24500.301429-0.301429
24600.459318-0.459318
24710.8047650.195235
24810.5145330.485467
24910.5428940.457106
25010.6422980.357702
25110.7098620.290138
25210.2891350.710865
25300.323162-0.323162
25400.245765-0.245765
25510.8517970.148203
25600.377888-0.377888
25700.212403-0.212403
25810.4195930.580407
25900.411777-0.411777
26000.505569-0.505569
26100.0467191-0.0467191
26200.308518-0.308518
26300.409495-0.409495
26400.383305-0.383305
26500.352763-0.352763
26600.137341-0.137341
26700.237684-0.237684
26800.440699-0.440699
26900.455749-0.455749
27000.123845-0.123845
27100.539236-0.539236
27200.209485-0.209485
27300.360775-0.360775
27400.359732-0.359732
27500.400964-0.400964
27610.4900550.509945
27700.477787-0.477787
2780-0.01451420.0145142






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
85.65255e-461.13051e-451
9001
10001
113.04787e-916.09574e-911
123.0121e-1046.02419e-1041
13001
14001
151.27203e-1512.54406e-1511
160.005965380.01193080.994035
170.002730850.005461710.997269
180.001228360.002456730.998772
190.1039780.2079560.896022
200.09242360.1848470.907576
210.06454710.1290940.935453
220.0434950.08699010.956505
230.02961220.05922440.970388
240.01900010.03800030.981
250.01195810.02391610.988042
260.007480520.0149610.992519
270.04845410.09690820.951546
280.08354370.1670870.916456
290.0618450.123690.938155
300.04648330.09296670.953517
310.03895370.07790740.961046
320.02837430.05674850.971626
330.02023980.04047960.97976
340.01418850.02837690.985812
350.01205380.02410760.987946
360.01037280.02074570.989627
370.007129590.01425920.99287
380.01970950.0394190.98029
390.01404670.02809340.985953
400.009989730.01997950.99001
410.007389210.01477840.992611
420.0053630.0107260.994637
430.00382050.007640990.99618
440.002564710.005129410.997435
450.002894160.005788320.997106
460.001949730.003899450.99805
470.002258210.004516430.997742
480.006584730.01316950.993415
490.007272260.01454450.992728
500.01161520.02323040.988385
510.02288120.04576250.977119
520.02557910.05115810.974421
530.02001910.04003810.979981
540.05145880.1029180.948541
550.05223120.1044620.947769
560.04776820.09553630.952232
570.1100540.2201090.889946
580.1021480.2042950.897852
590.09624030.1924810.90376
600.1025490.2050970.897451
610.08572510.171450.914275
620.07234990.14470.92765
630.07282710.1456540.927173
640.0589740.1179480.941026
650.04774990.09549990.95225
660.04705030.09410060.95295
670.037940.07587990.96206
680.03084050.0616810.96916
690.02430410.04860810.975696
700.02816530.05633060.971835
710.02254390.04508780.977456
720.02143760.04287530.978562
730.02212570.04425130.977874
740.02187870.04375750.978121
750.01977970.03955940.98022
760.01621320.03242640.983787
770.01815770.03631530.981842
780.01518340.03036680.984817
790.01446740.02893480.985533
800.01465170.02930340.985348
810.01577560.03155120.984224
820.01793330.03586660.982067
830.01725010.03450010.98275
840.02354570.04709140.976454
850.03178480.06356950.968215
860.03347320.06694640.966527
870.02953420.05906840.970466
880.02531830.05063670.974682
890.02558940.05117890.974411
900.03202070.06404140.967979
910.02684480.05368960.973155
920.03590850.0718170.964092
930.05185740.1037150.948143
940.05086330.1017270.949137
950.05186660.1037330.948133
960.06006150.1201230.939939
970.07538510.150770.924615
980.07096060.1419210.929039
990.06393660.1278730.936063
1000.07242920.1448580.927571
1010.06251510.125030.937485
1020.06222470.1244490.937775
1030.05977010.119540.94023
1040.07715160.1543030.922848
1050.07044410.1408880.929556
1060.07477820.1495560.925222
1070.07110290.1422060.928897
1080.07737040.1547410.92263
1090.06852210.1370440.931478
1100.06973270.1394650.930267
1110.07798060.1559610.922019
1120.07792910.1558580.922071
1130.1274320.2548640.872568
1140.2433110.4866230.756689
1150.2420260.4840530.757974
1160.2323890.4647790.767611
1170.2335940.4671880.766406
1180.2135920.4271840.786408
1190.189010.3780190.81099
1200.1817330.3634660.818267
1210.1761190.3522390.823881
1220.2617310.5234620.738269
1230.2552450.5104910.744755
1240.4267180.8534370.573282
1250.4482680.8965360.551732
1260.4585730.9171470.541427
1270.4461690.8923370.553831
1280.5035620.9928770.496438
1290.5248120.9503760.475188
1300.5557270.8885460.444273
1310.5628580.8742840.437142
1320.5459890.9080210.454011
1330.5601160.8797680.439884
1340.5843110.8313790.415689
1350.6440660.7118690.355934
1360.702470.595060.29753
1370.7049090.5901830.295091
1380.8142180.3715640.185782
1390.8066960.3866080.193304
1400.8309210.3381580.169079
1410.8210340.3579330.178966
1420.7987170.4025650.201283
1430.7827430.4345140.217257
1440.7872960.4254070.212704
1450.7751860.4496270.224814
1460.7692070.4615870.230793
1470.7708520.4582970.229148
1480.7873650.4252690.212635
1490.7737340.4525320.226266
1500.7502920.4994160.249708
1510.7277240.5445530.272276
1520.7738590.4522820.226141
1530.7607480.4785040.239252
1540.7336190.5327630.266381
1550.7153440.5693120.284656
1560.7093090.5813820.290691
1570.7160710.5678570.283929
1580.7421590.5156810.257841
1590.7451210.5097570.254879
1600.7281440.5437120.271856
1610.7322190.5355620.267781
1620.7222470.5555050.277753
1630.6994570.6010860.300543
1640.9300260.1399480.0699741
1650.9436930.1126150.0563074
1660.9343590.1312820.0656412
1670.9338050.132390.0661952
1680.9305370.1389260.0694629
1690.9264830.1470350.0735173
1700.9195550.1608890.0804447
1710.9121760.1756480.0878242
1720.9095870.1808270.0904133
1730.9260940.1478120.0739059
1740.9133970.1732060.0866032
1750.8990330.2019350.100967
1760.8940730.2118550.105927
1770.900280.1994390.0997196
1780.8924840.2150330.107516
1790.923260.153480.07674
1800.9569410.08611780.0430589
1810.9504160.0991680.049584
1820.9590890.08182190.040911
1830.960180.07964020.0398201
1840.9582740.08345220.0417261
1850.9851860.02962860.0148143
1860.9835620.0328750.0164375
1870.982040.03592090.0179605
1880.984190.03161950.0158097
1890.9888030.02239450.0111973
1900.9858990.02820170.0141008
1910.9826210.03475890.0173795
1920.9836780.03264390.0163219
1930.9837310.03253780.0162689
1940.9823340.03533170.0176659
1950.979140.041720.02086
1960.9745130.05097410.025487
1970.9702640.05947110.0297356
1980.9686540.06269180.0313459
1990.9619610.07607790.0380389
2000.9589380.0821250.0410625
2010.9513740.09725280.0486264
2020.9410670.1178660.0589331
2030.9303510.1392990.0696494
2040.9384240.1231510.0615757
2050.9315580.1368830.0684416
2060.9189020.1621960.0810978
2070.9748690.05026230.0251312
2080.9682580.0634840.031742
2090.9735590.05288160.0264408
2100.9681560.0636880.031844
2110.9614760.07704760.0385238
2120.9527110.09457730.0472887
2130.9616180.07676310.0383816
2140.9568040.0863920.043196
2150.9536310.09273770.0463689
2160.9580540.08389250.0419462
2170.9503580.09928360.0496418
2180.9394410.1211180.0605589
2190.9252960.1494080.0747039
2200.9140950.1718090.0859046
2210.9135610.1728770.0864386
2220.9012020.1975970.0987985
2230.902430.1951390.0975696
2240.8846940.2306120.115306
2250.8654140.2691720.134586
2260.8416220.3167550.158378
2270.8170160.3659680.182984
2280.7875710.4248570.212429
2290.8780380.2439240.121962
2300.8737720.2524570.126228
2310.8472150.305570.152785
2320.9247140.1505720.075286
2330.9144590.1710830.0855415
2340.898640.202720.10136
2350.8795450.240910.120455
2360.9063410.1873190.0936593
2370.8825310.2349390.117469
2380.8835890.2328220.116411
2390.9643570.07128530.0356427
2400.9555180.08896470.0444824
2410.9717650.05646990.0282349
2420.9612860.07742780.0387139
2430.9507510.09849880.0492494
2440.9407810.1184380.059219
2450.9287840.1424330.0712164
2460.922890.1542190.0771096
2470.9075110.1849770.0924887
2480.9399170.1201660.0600828
2490.9635130.07297330.0364867
2500.9635280.07294420.0364721
2510.9555940.08881260.0444063
2520.9969420.006115950.00305798
2530.9948510.01029740.00514869
2540.9924860.0150280.00751401
2550.9885650.02286910.0114345
2560.9813370.03732630.0186632
2570.9751040.04979280.0248964
2580.9951870.009626610.00481331
2590.9912280.0175450.0087725
2600.988450.02310070.0115503
2610.9799870.04002630.0200132
2620.9700070.0599860.029993
2630.9689710.06205720.0310286
2640.9526080.09478490.0473924
2650.921810.156380.07819
2660.8983460.2033070.101654
2670.9035490.1929010.0964507
2680.8789640.2420710.121036
2690.8320140.3359720.167986
2700.688880.6222410.31112

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
8 & 5.65255e-46 & 1.13051e-45 & 1 \tabularnewline
9 & 0 & 0 & 1 \tabularnewline
10 & 0 & 0 & 1 \tabularnewline
11 & 3.04787e-91 & 6.09574e-91 & 1 \tabularnewline
12 & 3.0121e-104 & 6.02419e-104 & 1 \tabularnewline
13 & 0 & 0 & 1 \tabularnewline
14 & 0 & 0 & 1 \tabularnewline
15 & 1.27203e-151 & 2.54406e-151 & 1 \tabularnewline
16 & 0.00596538 & 0.0119308 & 0.994035 \tabularnewline
17 & 0.00273085 & 0.00546171 & 0.997269 \tabularnewline
18 & 0.00122836 & 0.00245673 & 0.998772 \tabularnewline
19 & 0.103978 & 0.207956 & 0.896022 \tabularnewline
20 & 0.0924236 & 0.184847 & 0.907576 \tabularnewline
21 & 0.0645471 & 0.129094 & 0.935453 \tabularnewline
22 & 0.043495 & 0.0869901 & 0.956505 \tabularnewline
23 & 0.0296122 & 0.0592244 & 0.970388 \tabularnewline
24 & 0.0190001 & 0.0380003 & 0.981 \tabularnewline
25 & 0.0119581 & 0.0239161 & 0.988042 \tabularnewline
26 & 0.00748052 & 0.014961 & 0.992519 \tabularnewline
27 & 0.0484541 & 0.0969082 & 0.951546 \tabularnewline
28 & 0.0835437 & 0.167087 & 0.916456 \tabularnewline
29 & 0.061845 & 0.12369 & 0.938155 \tabularnewline
30 & 0.0464833 & 0.0929667 & 0.953517 \tabularnewline
31 & 0.0389537 & 0.0779074 & 0.961046 \tabularnewline
32 & 0.0283743 & 0.0567485 & 0.971626 \tabularnewline
33 & 0.0202398 & 0.0404796 & 0.97976 \tabularnewline
34 & 0.0141885 & 0.0283769 & 0.985812 \tabularnewline
35 & 0.0120538 & 0.0241076 & 0.987946 \tabularnewline
36 & 0.0103728 & 0.0207457 & 0.989627 \tabularnewline
37 & 0.00712959 & 0.0142592 & 0.99287 \tabularnewline
38 & 0.0197095 & 0.039419 & 0.98029 \tabularnewline
39 & 0.0140467 & 0.0280934 & 0.985953 \tabularnewline
40 & 0.00998973 & 0.0199795 & 0.99001 \tabularnewline
41 & 0.00738921 & 0.0147784 & 0.992611 \tabularnewline
42 & 0.005363 & 0.010726 & 0.994637 \tabularnewline
43 & 0.0038205 & 0.00764099 & 0.99618 \tabularnewline
44 & 0.00256471 & 0.00512941 & 0.997435 \tabularnewline
45 & 0.00289416 & 0.00578832 & 0.997106 \tabularnewline
46 & 0.00194973 & 0.00389945 & 0.99805 \tabularnewline
47 & 0.00225821 & 0.00451643 & 0.997742 \tabularnewline
48 & 0.00658473 & 0.0131695 & 0.993415 \tabularnewline
49 & 0.00727226 & 0.0145445 & 0.992728 \tabularnewline
50 & 0.0116152 & 0.0232304 & 0.988385 \tabularnewline
51 & 0.0228812 & 0.0457625 & 0.977119 \tabularnewline
52 & 0.0255791 & 0.0511581 & 0.974421 \tabularnewline
53 & 0.0200191 & 0.0400381 & 0.979981 \tabularnewline
54 & 0.0514588 & 0.102918 & 0.948541 \tabularnewline
55 & 0.0522312 & 0.104462 & 0.947769 \tabularnewline
56 & 0.0477682 & 0.0955363 & 0.952232 \tabularnewline
57 & 0.110054 & 0.220109 & 0.889946 \tabularnewline
58 & 0.102148 & 0.204295 & 0.897852 \tabularnewline
59 & 0.0962403 & 0.192481 & 0.90376 \tabularnewline
60 & 0.102549 & 0.205097 & 0.897451 \tabularnewline
61 & 0.0857251 & 0.17145 & 0.914275 \tabularnewline
62 & 0.0723499 & 0.1447 & 0.92765 \tabularnewline
63 & 0.0728271 & 0.145654 & 0.927173 \tabularnewline
64 & 0.058974 & 0.117948 & 0.941026 \tabularnewline
65 & 0.0477499 & 0.0954999 & 0.95225 \tabularnewline
66 & 0.0470503 & 0.0941006 & 0.95295 \tabularnewline
67 & 0.03794 & 0.0758799 & 0.96206 \tabularnewline
68 & 0.0308405 & 0.061681 & 0.96916 \tabularnewline
69 & 0.0243041 & 0.0486081 & 0.975696 \tabularnewline
70 & 0.0281653 & 0.0563306 & 0.971835 \tabularnewline
71 & 0.0225439 & 0.0450878 & 0.977456 \tabularnewline
72 & 0.0214376 & 0.0428753 & 0.978562 \tabularnewline
73 & 0.0221257 & 0.0442513 & 0.977874 \tabularnewline
74 & 0.0218787 & 0.0437575 & 0.978121 \tabularnewline
75 & 0.0197797 & 0.0395594 & 0.98022 \tabularnewline
76 & 0.0162132 & 0.0324264 & 0.983787 \tabularnewline
77 & 0.0181577 & 0.0363153 & 0.981842 \tabularnewline
78 & 0.0151834 & 0.0303668 & 0.984817 \tabularnewline
79 & 0.0144674 & 0.0289348 & 0.985533 \tabularnewline
80 & 0.0146517 & 0.0293034 & 0.985348 \tabularnewline
81 & 0.0157756 & 0.0315512 & 0.984224 \tabularnewline
82 & 0.0179333 & 0.0358666 & 0.982067 \tabularnewline
83 & 0.0172501 & 0.0345001 & 0.98275 \tabularnewline
84 & 0.0235457 & 0.0470914 & 0.976454 \tabularnewline
85 & 0.0317848 & 0.0635695 & 0.968215 \tabularnewline
86 & 0.0334732 & 0.0669464 & 0.966527 \tabularnewline
87 & 0.0295342 & 0.0590684 & 0.970466 \tabularnewline
88 & 0.0253183 & 0.0506367 & 0.974682 \tabularnewline
89 & 0.0255894 & 0.0511789 & 0.974411 \tabularnewline
90 & 0.0320207 & 0.0640414 & 0.967979 \tabularnewline
91 & 0.0268448 & 0.0536896 & 0.973155 \tabularnewline
92 & 0.0359085 & 0.071817 & 0.964092 \tabularnewline
93 & 0.0518574 & 0.103715 & 0.948143 \tabularnewline
94 & 0.0508633 & 0.101727 & 0.949137 \tabularnewline
95 & 0.0518666 & 0.103733 & 0.948133 \tabularnewline
96 & 0.0600615 & 0.120123 & 0.939939 \tabularnewline
97 & 0.0753851 & 0.15077 & 0.924615 \tabularnewline
98 & 0.0709606 & 0.141921 & 0.929039 \tabularnewline
99 & 0.0639366 & 0.127873 & 0.936063 \tabularnewline
100 & 0.0724292 & 0.144858 & 0.927571 \tabularnewline
101 & 0.0625151 & 0.12503 & 0.937485 \tabularnewline
102 & 0.0622247 & 0.124449 & 0.937775 \tabularnewline
103 & 0.0597701 & 0.11954 & 0.94023 \tabularnewline
104 & 0.0771516 & 0.154303 & 0.922848 \tabularnewline
105 & 0.0704441 & 0.140888 & 0.929556 \tabularnewline
106 & 0.0747782 & 0.149556 & 0.925222 \tabularnewline
107 & 0.0711029 & 0.142206 & 0.928897 \tabularnewline
108 & 0.0773704 & 0.154741 & 0.92263 \tabularnewline
109 & 0.0685221 & 0.137044 & 0.931478 \tabularnewline
110 & 0.0697327 & 0.139465 & 0.930267 \tabularnewline
111 & 0.0779806 & 0.155961 & 0.922019 \tabularnewline
112 & 0.0779291 & 0.155858 & 0.922071 \tabularnewline
113 & 0.127432 & 0.254864 & 0.872568 \tabularnewline
114 & 0.243311 & 0.486623 & 0.756689 \tabularnewline
115 & 0.242026 & 0.484053 & 0.757974 \tabularnewline
116 & 0.232389 & 0.464779 & 0.767611 \tabularnewline
117 & 0.233594 & 0.467188 & 0.766406 \tabularnewline
118 & 0.213592 & 0.427184 & 0.786408 \tabularnewline
119 & 0.18901 & 0.378019 & 0.81099 \tabularnewline
120 & 0.181733 & 0.363466 & 0.818267 \tabularnewline
121 & 0.176119 & 0.352239 & 0.823881 \tabularnewline
122 & 0.261731 & 0.523462 & 0.738269 \tabularnewline
123 & 0.255245 & 0.510491 & 0.744755 \tabularnewline
124 & 0.426718 & 0.853437 & 0.573282 \tabularnewline
125 & 0.448268 & 0.896536 & 0.551732 \tabularnewline
126 & 0.458573 & 0.917147 & 0.541427 \tabularnewline
127 & 0.446169 & 0.892337 & 0.553831 \tabularnewline
128 & 0.503562 & 0.992877 & 0.496438 \tabularnewline
129 & 0.524812 & 0.950376 & 0.475188 \tabularnewline
130 & 0.555727 & 0.888546 & 0.444273 \tabularnewline
131 & 0.562858 & 0.874284 & 0.437142 \tabularnewline
132 & 0.545989 & 0.908021 & 0.454011 \tabularnewline
133 & 0.560116 & 0.879768 & 0.439884 \tabularnewline
134 & 0.584311 & 0.831379 & 0.415689 \tabularnewline
135 & 0.644066 & 0.711869 & 0.355934 \tabularnewline
136 & 0.70247 & 0.59506 & 0.29753 \tabularnewline
137 & 0.704909 & 0.590183 & 0.295091 \tabularnewline
138 & 0.814218 & 0.371564 & 0.185782 \tabularnewline
139 & 0.806696 & 0.386608 & 0.193304 \tabularnewline
140 & 0.830921 & 0.338158 & 0.169079 \tabularnewline
141 & 0.821034 & 0.357933 & 0.178966 \tabularnewline
142 & 0.798717 & 0.402565 & 0.201283 \tabularnewline
143 & 0.782743 & 0.434514 & 0.217257 \tabularnewline
144 & 0.787296 & 0.425407 & 0.212704 \tabularnewline
145 & 0.775186 & 0.449627 & 0.224814 \tabularnewline
146 & 0.769207 & 0.461587 & 0.230793 \tabularnewline
147 & 0.770852 & 0.458297 & 0.229148 \tabularnewline
148 & 0.787365 & 0.425269 & 0.212635 \tabularnewline
149 & 0.773734 & 0.452532 & 0.226266 \tabularnewline
150 & 0.750292 & 0.499416 & 0.249708 \tabularnewline
151 & 0.727724 & 0.544553 & 0.272276 \tabularnewline
152 & 0.773859 & 0.452282 & 0.226141 \tabularnewline
153 & 0.760748 & 0.478504 & 0.239252 \tabularnewline
154 & 0.733619 & 0.532763 & 0.266381 \tabularnewline
155 & 0.715344 & 0.569312 & 0.284656 \tabularnewline
156 & 0.709309 & 0.581382 & 0.290691 \tabularnewline
157 & 0.716071 & 0.567857 & 0.283929 \tabularnewline
158 & 0.742159 & 0.515681 & 0.257841 \tabularnewline
159 & 0.745121 & 0.509757 & 0.254879 \tabularnewline
160 & 0.728144 & 0.543712 & 0.271856 \tabularnewline
161 & 0.732219 & 0.535562 & 0.267781 \tabularnewline
162 & 0.722247 & 0.555505 & 0.277753 \tabularnewline
163 & 0.699457 & 0.601086 & 0.300543 \tabularnewline
164 & 0.930026 & 0.139948 & 0.0699741 \tabularnewline
165 & 0.943693 & 0.112615 & 0.0563074 \tabularnewline
166 & 0.934359 & 0.131282 & 0.0656412 \tabularnewline
167 & 0.933805 & 0.13239 & 0.0661952 \tabularnewline
168 & 0.930537 & 0.138926 & 0.0694629 \tabularnewline
169 & 0.926483 & 0.147035 & 0.0735173 \tabularnewline
170 & 0.919555 & 0.160889 & 0.0804447 \tabularnewline
171 & 0.912176 & 0.175648 & 0.0878242 \tabularnewline
172 & 0.909587 & 0.180827 & 0.0904133 \tabularnewline
173 & 0.926094 & 0.147812 & 0.0739059 \tabularnewline
174 & 0.913397 & 0.173206 & 0.0866032 \tabularnewline
175 & 0.899033 & 0.201935 & 0.100967 \tabularnewline
176 & 0.894073 & 0.211855 & 0.105927 \tabularnewline
177 & 0.90028 & 0.199439 & 0.0997196 \tabularnewline
178 & 0.892484 & 0.215033 & 0.107516 \tabularnewline
179 & 0.92326 & 0.15348 & 0.07674 \tabularnewline
180 & 0.956941 & 0.0861178 & 0.0430589 \tabularnewline
181 & 0.950416 & 0.099168 & 0.049584 \tabularnewline
182 & 0.959089 & 0.0818219 & 0.040911 \tabularnewline
183 & 0.96018 & 0.0796402 & 0.0398201 \tabularnewline
184 & 0.958274 & 0.0834522 & 0.0417261 \tabularnewline
185 & 0.985186 & 0.0296286 & 0.0148143 \tabularnewline
186 & 0.983562 & 0.032875 & 0.0164375 \tabularnewline
187 & 0.98204 & 0.0359209 & 0.0179605 \tabularnewline
188 & 0.98419 & 0.0316195 & 0.0158097 \tabularnewline
189 & 0.988803 & 0.0223945 & 0.0111973 \tabularnewline
190 & 0.985899 & 0.0282017 & 0.0141008 \tabularnewline
191 & 0.982621 & 0.0347589 & 0.0173795 \tabularnewline
192 & 0.983678 & 0.0326439 & 0.0163219 \tabularnewline
193 & 0.983731 & 0.0325378 & 0.0162689 \tabularnewline
194 & 0.982334 & 0.0353317 & 0.0176659 \tabularnewline
195 & 0.97914 & 0.04172 & 0.02086 \tabularnewline
196 & 0.974513 & 0.0509741 & 0.025487 \tabularnewline
197 & 0.970264 & 0.0594711 & 0.0297356 \tabularnewline
198 & 0.968654 & 0.0626918 & 0.0313459 \tabularnewline
199 & 0.961961 & 0.0760779 & 0.0380389 \tabularnewline
200 & 0.958938 & 0.082125 & 0.0410625 \tabularnewline
201 & 0.951374 & 0.0972528 & 0.0486264 \tabularnewline
202 & 0.941067 & 0.117866 & 0.0589331 \tabularnewline
203 & 0.930351 & 0.139299 & 0.0696494 \tabularnewline
204 & 0.938424 & 0.123151 & 0.0615757 \tabularnewline
205 & 0.931558 & 0.136883 & 0.0684416 \tabularnewline
206 & 0.918902 & 0.162196 & 0.0810978 \tabularnewline
207 & 0.974869 & 0.0502623 & 0.0251312 \tabularnewline
208 & 0.968258 & 0.063484 & 0.031742 \tabularnewline
209 & 0.973559 & 0.0528816 & 0.0264408 \tabularnewline
210 & 0.968156 & 0.063688 & 0.031844 \tabularnewline
211 & 0.961476 & 0.0770476 & 0.0385238 \tabularnewline
212 & 0.952711 & 0.0945773 & 0.0472887 \tabularnewline
213 & 0.961618 & 0.0767631 & 0.0383816 \tabularnewline
214 & 0.956804 & 0.086392 & 0.043196 \tabularnewline
215 & 0.953631 & 0.0927377 & 0.0463689 \tabularnewline
216 & 0.958054 & 0.0838925 & 0.0419462 \tabularnewline
217 & 0.950358 & 0.0992836 & 0.0496418 \tabularnewline
218 & 0.939441 & 0.121118 & 0.0605589 \tabularnewline
219 & 0.925296 & 0.149408 & 0.0747039 \tabularnewline
220 & 0.914095 & 0.171809 & 0.0859046 \tabularnewline
221 & 0.913561 & 0.172877 & 0.0864386 \tabularnewline
222 & 0.901202 & 0.197597 & 0.0987985 \tabularnewline
223 & 0.90243 & 0.195139 & 0.0975696 \tabularnewline
224 & 0.884694 & 0.230612 & 0.115306 \tabularnewline
225 & 0.865414 & 0.269172 & 0.134586 \tabularnewline
226 & 0.841622 & 0.316755 & 0.158378 \tabularnewline
227 & 0.817016 & 0.365968 & 0.182984 \tabularnewline
228 & 0.787571 & 0.424857 & 0.212429 \tabularnewline
229 & 0.878038 & 0.243924 & 0.121962 \tabularnewline
230 & 0.873772 & 0.252457 & 0.126228 \tabularnewline
231 & 0.847215 & 0.30557 & 0.152785 \tabularnewline
232 & 0.924714 & 0.150572 & 0.075286 \tabularnewline
233 & 0.914459 & 0.171083 & 0.0855415 \tabularnewline
234 & 0.89864 & 0.20272 & 0.10136 \tabularnewline
235 & 0.879545 & 0.24091 & 0.120455 \tabularnewline
236 & 0.906341 & 0.187319 & 0.0936593 \tabularnewline
237 & 0.882531 & 0.234939 & 0.117469 \tabularnewline
238 & 0.883589 & 0.232822 & 0.116411 \tabularnewline
239 & 0.964357 & 0.0712853 & 0.0356427 \tabularnewline
240 & 0.955518 & 0.0889647 & 0.0444824 \tabularnewline
241 & 0.971765 & 0.0564699 & 0.0282349 \tabularnewline
242 & 0.961286 & 0.0774278 & 0.0387139 \tabularnewline
243 & 0.950751 & 0.0984988 & 0.0492494 \tabularnewline
244 & 0.940781 & 0.118438 & 0.059219 \tabularnewline
245 & 0.928784 & 0.142433 & 0.0712164 \tabularnewline
246 & 0.92289 & 0.154219 & 0.0771096 \tabularnewline
247 & 0.907511 & 0.184977 & 0.0924887 \tabularnewline
248 & 0.939917 & 0.120166 & 0.0600828 \tabularnewline
249 & 0.963513 & 0.0729733 & 0.0364867 \tabularnewline
250 & 0.963528 & 0.0729442 & 0.0364721 \tabularnewline
251 & 0.955594 & 0.0888126 & 0.0444063 \tabularnewline
252 & 0.996942 & 0.00611595 & 0.00305798 \tabularnewline
253 & 0.994851 & 0.0102974 & 0.00514869 \tabularnewline
254 & 0.992486 & 0.015028 & 0.00751401 \tabularnewline
255 & 0.988565 & 0.0228691 & 0.0114345 \tabularnewline
256 & 0.981337 & 0.0373263 & 0.0186632 \tabularnewline
257 & 0.975104 & 0.0497928 & 0.0248964 \tabularnewline
258 & 0.995187 & 0.00962661 & 0.00481331 \tabularnewline
259 & 0.991228 & 0.017545 & 0.0087725 \tabularnewline
260 & 0.98845 & 0.0231007 & 0.0115503 \tabularnewline
261 & 0.979987 & 0.0400263 & 0.0200132 \tabularnewline
262 & 0.970007 & 0.059986 & 0.029993 \tabularnewline
263 & 0.968971 & 0.0620572 & 0.0310286 \tabularnewline
264 & 0.952608 & 0.0947849 & 0.0473924 \tabularnewline
265 & 0.92181 & 0.15638 & 0.07819 \tabularnewline
266 & 0.898346 & 0.203307 & 0.101654 \tabularnewline
267 & 0.903549 & 0.192901 & 0.0964507 \tabularnewline
268 & 0.878964 & 0.242071 & 0.121036 \tabularnewline
269 & 0.832014 & 0.335972 & 0.167986 \tabularnewline
270 & 0.68888 & 0.622241 & 0.31112 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=271124&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]8[/C][C]5.65255e-46[/C][C]1.13051e-45[/C][C]1[/C][/ROW]
[ROW][C]9[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]10[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]11[/C][C]3.04787e-91[/C][C]6.09574e-91[/C][C]1[/C][/ROW]
[ROW][C]12[/C][C]3.0121e-104[/C][C]6.02419e-104[/C][C]1[/C][/ROW]
[ROW][C]13[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]14[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]15[/C][C]1.27203e-151[/C][C]2.54406e-151[/C][C]1[/C][/ROW]
[ROW][C]16[/C][C]0.00596538[/C][C]0.0119308[/C][C]0.994035[/C][/ROW]
[ROW][C]17[/C][C]0.00273085[/C][C]0.00546171[/C][C]0.997269[/C][/ROW]
[ROW][C]18[/C][C]0.00122836[/C][C]0.00245673[/C][C]0.998772[/C][/ROW]
[ROW][C]19[/C][C]0.103978[/C][C]0.207956[/C][C]0.896022[/C][/ROW]
[ROW][C]20[/C][C]0.0924236[/C][C]0.184847[/C][C]0.907576[/C][/ROW]
[ROW][C]21[/C][C]0.0645471[/C][C]0.129094[/C][C]0.935453[/C][/ROW]
[ROW][C]22[/C][C]0.043495[/C][C]0.0869901[/C][C]0.956505[/C][/ROW]
[ROW][C]23[/C][C]0.0296122[/C][C]0.0592244[/C][C]0.970388[/C][/ROW]
[ROW][C]24[/C][C]0.0190001[/C][C]0.0380003[/C][C]0.981[/C][/ROW]
[ROW][C]25[/C][C]0.0119581[/C][C]0.0239161[/C][C]0.988042[/C][/ROW]
[ROW][C]26[/C][C]0.00748052[/C][C]0.014961[/C][C]0.992519[/C][/ROW]
[ROW][C]27[/C][C]0.0484541[/C][C]0.0969082[/C][C]0.951546[/C][/ROW]
[ROW][C]28[/C][C]0.0835437[/C][C]0.167087[/C][C]0.916456[/C][/ROW]
[ROW][C]29[/C][C]0.061845[/C][C]0.12369[/C][C]0.938155[/C][/ROW]
[ROW][C]30[/C][C]0.0464833[/C][C]0.0929667[/C][C]0.953517[/C][/ROW]
[ROW][C]31[/C][C]0.0389537[/C][C]0.0779074[/C][C]0.961046[/C][/ROW]
[ROW][C]32[/C][C]0.0283743[/C][C]0.0567485[/C][C]0.971626[/C][/ROW]
[ROW][C]33[/C][C]0.0202398[/C][C]0.0404796[/C][C]0.97976[/C][/ROW]
[ROW][C]34[/C][C]0.0141885[/C][C]0.0283769[/C][C]0.985812[/C][/ROW]
[ROW][C]35[/C][C]0.0120538[/C][C]0.0241076[/C][C]0.987946[/C][/ROW]
[ROW][C]36[/C][C]0.0103728[/C][C]0.0207457[/C][C]0.989627[/C][/ROW]
[ROW][C]37[/C][C]0.00712959[/C][C]0.0142592[/C][C]0.99287[/C][/ROW]
[ROW][C]38[/C][C]0.0197095[/C][C]0.039419[/C][C]0.98029[/C][/ROW]
[ROW][C]39[/C][C]0.0140467[/C][C]0.0280934[/C][C]0.985953[/C][/ROW]
[ROW][C]40[/C][C]0.00998973[/C][C]0.0199795[/C][C]0.99001[/C][/ROW]
[ROW][C]41[/C][C]0.00738921[/C][C]0.0147784[/C][C]0.992611[/C][/ROW]
[ROW][C]42[/C][C]0.005363[/C][C]0.010726[/C][C]0.994637[/C][/ROW]
[ROW][C]43[/C][C]0.0038205[/C][C]0.00764099[/C][C]0.99618[/C][/ROW]
[ROW][C]44[/C][C]0.00256471[/C][C]0.00512941[/C][C]0.997435[/C][/ROW]
[ROW][C]45[/C][C]0.00289416[/C][C]0.00578832[/C][C]0.997106[/C][/ROW]
[ROW][C]46[/C][C]0.00194973[/C][C]0.00389945[/C][C]0.99805[/C][/ROW]
[ROW][C]47[/C][C]0.00225821[/C][C]0.00451643[/C][C]0.997742[/C][/ROW]
[ROW][C]48[/C][C]0.00658473[/C][C]0.0131695[/C][C]0.993415[/C][/ROW]
[ROW][C]49[/C][C]0.00727226[/C][C]0.0145445[/C][C]0.992728[/C][/ROW]
[ROW][C]50[/C][C]0.0116152[/C][C]0.0232304[/C][C]0.988385[/C][/ROW]
[ROW][C]51[/C][C]0.0228812[/C][C]0.0457625[/C][C]0.977119[/C][/ROW]
[ROW][C]52[/C][C]0.0255791[/C][C]0.0511581[/C][C]0.974421[/C][/ROW]
[ROW][C]53[/C][C]0.0200191[/C][C]0.0400381[/C][C]0.979981[/C][/ROW]
[ROW][C]54[/C][C]0.0514588[/C][C]0.102918[/C][C]0.948541[/C][/ROW]
[ROW][C]55[/C][C]0.0522312[/C][C]0.104462[/C][C]0.947769[/C][/ROW]
[ROW][C]56[/C][C]0.0477682[/C][C]0.0955363[/C][C]0.952232[/C][/ROW]
[ROW][C]57[/C][C]0.110054[/C][C]0.220109[/C][C]0.889946[/C][/ROW]
[ROW][C]58[/C][C]0.102148[/C][C]0.204295[/C][C]0.897852[/C][/ROW]
[ROW][C]59[/C][C]0.0962403[/C][C]0.192481[/C][C]0.90376[/C][/ROW]
[ROW][C]60[/C][C]0.102549[/C][C]0.205097[/C][C]0.897451[/C][/ROW]
[ROW][C]61[/C][C]0.0857251[/C][C]0.17145[/C][C]0.914275[/C][/ROW]
[ROW][C]62[/C][C]0.0723499[/C][C]0.1447[/C][C]0.92765[/C][/ROW]
[ROW][C]63[/C][C]0.0728271[/C][C]0.145654[/C][C]0.927173[/C][/ROW]
[ROW][C]64[/C][C]0.058974[/C][C]0.117948[/C][C]0.941026[/C][/ROW]
[ROW][C]65[/C][C]0.0477499[/C][C]0.0954999[/C][C]0.95225[/C][/ROW]
[ROW][C]66[/C][C]0.0470503[/C][C]0.0941006[/C][C]0.95295[/C][/ROW]
[ROW][C]67[/C][C]0.03794[/C][C]0.0758799[/C][C]0.96206[/C][/ROW]
[ROW][C]68[/C][C]0.0308405[/C][C]0.061681[/C][C]0.96916[/C][/ROW]
[ROW][C]69[/C][C]0.0243041[/C][C]0.0486081[/C][C]0.975696[/C][/ROW]
[ROW][C]70[/C][C]0.0281653[/C][C]0.0563306[/C][C]0.971835[/C][/ROW]
[ROW][C]71[/C][C]0.0225439[/C][C]0.0450878[/C][C]0.977456[/C][/ROW]
[ROW][C]72[/C][C]0.0214376[/C][C]0.0428753[/C][C]0.978562[/C][/ROW]
[ROW][C]73[/C][C]0.0221257[/C][C]0.0442513[/C][C]0.977874[/C][/ROW]
[ROW][C]74[/C][C]0.0218787[/C][C]0.0437575[/C][C]0.978121[/C][/ROW]
[ROW][C]75[/C][C]0.0197797[/C][C]0.0395594[/C][C]0.98022[/C][/ROW]
[ROW][C]76[/C][C]0.0162132[/C][C]0.0324264[/C][C]0.983787[/C][/ROW]
[ROW][C]77[/C][C]0.0181577[/C][C]0.0363153[/C][C]0.981842[/C][/ROW]
[ROW][C]78[/C][C]0.0151834[/C][C]0.0303668[/C][C]0.984817[/C][/ROW]
[ROW][C]79[/C][C]0.0144674[/C][C]0.0289348[/C][C]0.985533[/C][/ROW]
[ROW][C]80[/C][C]0.0146517[/C][C]0.0293034[/C][C]0.985348[/C][/ROW]
[ROW][C]81[/C][C]0.0157756[/C][C]0.0315512[/C][C]0.984224[/C][/ROW]
[ROW][C]82[/C][C]0.0179333[/C][C]0.0358666[/C][C]0.982067[/C][/ROW]
[ROW][C]83[/C][C]0.0172501[/C][C]0.0345001[/C][C]0.98275[/C][/ROW]
[ROW][C]84[/C][C]0.0235457[/C][C]0.0470914[/C][C]0.976454[/C][/ROW]
[ROW][C]85[/C][C]0.0317848[/C][C]0.0635695[/C][C]0.968215[/C][/ROW]
[ROW][C]86[/C][C]0.0334732[/C][C]0.0669464[/C][C]0.966527[/C][/ROW]
[ROW][C]87[/C][C]0.0295342[/C][C]0.0590684[/C][C]0.970466[/C][/ROW]
[ROW][C]88[/C][C]0.0253183[/C][C]0.0506367[/C][C]0.974682[/C][/ROW]
[ROW][C]89[/C][C]0.0255894[/C][C]0.0511789[/C][C]0.974411[/C][/ROW]
[ROW][C]90[/C][C]0.0320207[/C][C]0.0640414[/C][C]0.967979[/C][/ROW]
[ROW][C]91[/C][C]0.0268448[/C][C]0.0536896[/C][C]0.973155[/C][/ROW]
[ROW][C]92[/C][C]0.0359085[/C][C]0.071817[/C][C]0.964092[/C][/ROW]
[ROW][C]93[/C][C]0.0518574[/C][C]0.103715[/C][C]0.948143[/C][/ROW]
[ROW][C]94[/C][C]0.0508633[/C][C]0.101727[/C][C]0.949137[/C][/ROW]
[ROW][C]95[/C][C]0.0518666[/C][C]0.103733[/C][C]0.948133[/C][/ROW]
[ROW][C]96[/C][C]0.0600615[/C][C]0.120123[/C][C]0.939939[/C][/ROW]
[ROW][C]97[/C][C]0.0753851[/C][C]0.15077[/C][C]0.924615[/C][/ROW]
[ROW][C]98[/C][C]0.0709606[/C][C]0.141921[/C][C]0.929039[/C][/ROW]
[ROW][C]99[/C][C]0.0639366[/C][C]0.127873[/C][C]0.936063[/C][/ROW]
[ROW][C]100[/C][C]0.0724292[/C][C]0.144858[/C][C]0.927571[/C][/ROW]
[ROW][C]101[/C][C]0.0625151[/C][C]0.12503[/C][C]0.937485[/C][/ROW]
[ROW][C]102[/C][C]0.0622247[/C][C]0.124449[/C][C]0.937775[/C][/ROW]
[ROW][C]103[/C][C]0.0597701[/C][C]0.11954[/C][C]0.94023[/C][/ROW]
[ROW][C]104[/C][C]0.0771516[/C][C]0.154303[/C][C]0.922848[/C][/ROW]
[ROW][C]105[/C][C]0.0704441[/C][C]0.140888[/C][C]0.929556[/C][/ROW]
[ROW][C]106[/C][C]0.0747782[/C][C]0.149556[/C][C]0.925222[/C][/ROW]
[ROW][C]107[/C][C]0.0711029[/C][C]0.142206[/C][C]0.928897[/C][/ROW]
[ROW][C]108[/C][C]0.0773704[/C][C]0.154741[/C][C]0.92263[/C][/ROW]
[ROW][C]109[/C][C]0.0685221[/C][C]0.137044[/C][C]0.931478[/C][/ROW]
[ROW][C]110[/C][C]0.0697327[/C][C]0.139465[/C][C]0.930267[/C][/ROW]
[ROW][C]111[/C][C]0.0779806[/C][C]0.155961[/C][C]0.922019[/C][/ROW]
[ROW][C]112[/C][C]0.0779291[/C][C]0.155858[/C][C]0.922071[/C][/ROW]
[ROW][C]113[/C][C]0.127432[/C][C]0.254864[/C][C]0.872568[/C][/ROW]
[ROW][C]114[/C][C]0.243311[/C][C]0.486623[/C][C]0.756689[/C][/ROW]
[ROW][C]115[/C][C]0.242026[/C][C]0.484053[/C][C]0.757974[/C][/ROW]
[ROW][C]116[/C][C]0.232389[/C][C]0.464779[/C][C]0.767611[/C][/ROW]
[ROW][C]117[/C][C]0.233594[/C][C]0.467188[/C][C]0.766406[/C][/ROW]
[ROW][C]118[/C][C]0.213592[/C][C]0.427184[/C][C]0.786408[/C][/ROW]
[ROW][C]119[/C][C]0.18901[/C][C]0.378019[/C][C]0.81099[/C][/ROW]
[ROW][C]120[/C][C]0.181733[/C][C]0.363466[/C][C]0.818267[/C][/ROW]
[ROW][C]121[/C][C]0.176119[/C][C]0.352239[/C][C]0.823881[/C][/ROW]
[ROW][C]122[/C][C]0.261731[/C][C]0.523462[/C][C]0.738269[/C][/ROW]
[ROW][C]123[/C][C]0.255245[/C][C]0.510491[/C][C]0.744755[/C][/ROW]
[ROW][C]124[/C][C]0.426718[/C][C]0.853437[/C][C]0.573282[/C][/ROW]
[ROW][C]125[/C][C]0.448268[/C][C]0.896536[/C][C]0.551732[/C][/ROW]
[ROW][C]126[/C][C]0.458573[/C][C]0.917147[/C][C]0.541427[/C][/ROW]
[ROW][C]127[/C][C]0.446169[/C][C]0.892337[/C][C]0.553831[/C][/ROW]
[ROW][C]128[/C][C]0.503562[/C][C]0.992877[/C][C]0.496438[/C][/ROW]
[ROW][C]129[/C][C]0.524812[/C][C]0.950376[/C][C]0.475188[/C][/ROW]
[ROW][C]130[/C][C]0.555727[/C][C]0.888546[/C][C]0.444273[/C][/ROW]
[ROW][C]131[/C][C]0.562858[/C][C]0.874284[/C][C]0.437142[/C][/ROW]
[ROW][C]132[/C][C]0.545989[/C][C]0.908021[/C][C]0.454011[/C][/ROW]
[ROW][C]133[/C][C]0.560116[/C][C]0.879768[/C][C]0.439884[/C][/ROW]
[ROW][C]134[/C][C]0.584311[/C][C]0.831379[/C][C]0.415689[/C][/ROW]
[ROW][C]135[/C][C]0.644066[/C][C]0.711869[/C][C]0.355934[/C][/ROW]
[ROW][C]136[/C][C]0.70247[/C][C]0.59506[/C][C]0.29753[/C][/ROW]
[ROW][C]137[/C][C]0.704909[/C][C]0.590183[/C][C]0.295091[/C][/ROW]
[ROW][C]138[/C][C]0.814218[/C][C]0.371564[/C][C]0.185782[/C][/ROW]
[ROW][C]139[/C][C]0.806696[/C][C]0.386608[/C][C]0.193304[/C][/ROW]
[ROW][C]140[/C][C]0.830921[/C][C]0.338158[/C][C]0.169079[/C][/ROW]
[ROW][C]141[/C][C]0.821034[/C][C]0.357933[/C][C]0.178966[/C][/ROW]
[ROW][C]142[/C][C]0.798717[/C][C]0.402565[/C][C]0.201283[/C][/ROW]
[ROW][C]143[/C][C]0.782743[/C][C]0.434514[/C][C]0.217257[/C][/ROW]
[ROW][C]144[/C][C]0.787296[/C][C]0.425407[/C][C]0.212704[/C][/ROW]
[ROW][C]145[/C][C]0.775186[/C][C]0.449627[/C][C]0.224814[/C][/ROW]
[ROW][C]146[/C][C]0.769207[/C][C]0.461587[/C][C]0.230793[/C][/ROW]
[ROW][C]147[/C][C]0.770852[/C][C]0.458297[/C][C]0.229148[/C][/ROW]
[ROW][C]148[/C][C]0.787365[/C][C]0.425269[/C][C]0.212635[/C][/ROW]
[ROW][C]149[/C][C]0.773734[/C][C]0.452532[/C][C]0.226266[/C][/ROW]
[ROW][C]150[/C][C]0.750292[/C][C]0.499416[/C][C]0.249708[/C][/ROW]
[ROW][C]151[/C][C]0.727724[/C][C]0.544553[/C][C]0.272276[/C][/ROW]
[ROW][C]152[/C][C]0.773859[/C][C]0.452282[/C][C]0.226141[/C][/ROW]
[ROW][C]153[/C][C]0.760748[/C][C]0.478504[/C][C]0.239252[/C][/ROW]
[ROW][C]154[/C][C]0.733619[/C][C]0.532763[/C][C]0.266381[/C][/ROW]
[ROW][C]155[/C][C]0.715344[/C][C]0.569312[/C][C]0.284656[/C][/ROW]
[ROW][C]156[/C][C]0.709309[/C][C]0.581382[/C][C]0.290691[/C][/ROW]
[ROW][C]157[/C][C]0.716071[/C][C]0.567857[/C][C]0.283929[/C][/ROW]
[ROW][C]158[/C][C]0.742159[/C][C]0.515681[/C][C]0.257841[/C][/ROW]
[ROW][C]159[/C][C]0.745121[/C][C]0.509757[/C][C]0.254879[/C][/ROW]
[ROW][C]160[/C][C]0.728144[/C][C]0.543712[/C][C]0.271856[/C][/ROW]
[ROW][C]161[/C][C]0.732219[/C][C]0.535562[/C][C]0.267781[/C][/ROW]
[ROW][C]162[/C][C]0.722247[/C][C]0.555505[/C][C]0.277753[/C][/ROW]
[ROW][C]163[/C][C]0.699457[/C][C]0.601086[/C][C]0.300543[/C][/ROW]
[ROW][C]164[/C][C]0.930026[/C][C]0.139948[/C][C]0.0699741[/C][/ROW]
[ROW][C]165[/C][C]0.943693[/C][C]0.112615[/C][C]0.0563074[/C][/ROW]
[ROW][C]166[/C][C]0.934359[/C][C]0.131282[/C][C]0.0656412[/C][/ROW]
[ROW][C]167[/C][C]0.933805[/C][C]0.13239[/C][C]0.0661952[/C][/ROW]
[ROW][C]168[/C][C]0.930537[/C][C]0.138926[/C][C]0.0694629[/C][/ROW]
[ROW][C]169[/C][C]0.926483[/C][C]0.147035[/C][C]0.0735173[/C][/ROW]
[ROW][C]170[/C][C]0.919555[/C][C]0.160889[/C][C]0.0804447[/C][/ROW]
[ROW][C]171[/C][C]0.912176[/C][C]0.175648[/C][C]0.0878242[/C][/ROW]
[ROW][C]172[/C][C]0.909587[/C][C]0.180827[/C][C]0.0904133[/C][/ROW]
[ROW][C]173[/C][C]0.926094[/C][C]0.147812[/C][C]0.0739059[/C][/ROW]
[ROW][C]174[/C][C]0.913397[/C][C]0.173206[/C][C]0.0866032[/C][/ROW]
[ROW][C]175[/C][C]0.899033[/C][C]0.201935[/C][C]0.100967[/C][/ROW]
[ROW][C]176[/C][C]0.894073[/C][C]0.211855[/C][C]0.105927[/C][/ROW]
[ROW][C]177[/C][C]0.90028[/C][C]0.199439[/C][C]0.0997196[/C][/ROW]
[ROW][C]178[/C][C]0.892484[/C][C]0.215033[/C][C]0.107516[/C][/ROW]
[ROW][C]179[/C][C]0.92326[/C][C]0.15348[/C][C]0.07674[/C][/ROW]
[ROW][C]180[/C][C]0.956941[/C][C]0.0861178[/C][C]0.0430589[/C][/ROW]
[ROW][C]181[/C][C]0.950416[/C][C]0.099168[/C][C]0.049584[/C][/ROW]
[ROW][C]182[/C][C]0.959089[/C][C]0.0818219[/C][C]0.040911[/C][/ROW]
[ROW][C]183[/C][C]0.96018[/C][C]0.0796402[/C][C]0.0398201[/C][/ROW]
[ROW][C]184[/C][C]0.958274[/C][C]0.0834522[/C][C]0.0417261[/C][/ROW]
[ROW][C]185[/C][C]0.985186[/C][C]0.0296286[/C][C]0.0148143[/C][/ROW]
[ROW][C]186[/C][C]0.983562[/C][C]0.032875[/C][C]0.0164375[/C][/ROW]
[ROW][C]187[/C][C]0.98204[/C][C]0.0359209[/C][C]0.0179605[/C][/ROW]
[ROW][C]188[/C][C]0.98419[/C][C]0.0316195[/C][C]0.0158097[/C][/ROW]
[ROW][C]189[/C][C]0.988803[/C][C]0.0223945[/C][C]0.0111973[/C][/ROW]
[ROW][C]190[/C][C]0.985899[/C][C]0.0282017[/C][C]0.0141008[/C][/ROW]
[ROW][C]191[/C][C]0.982621[/C][C]0.0347589[/C][C]0.0173795[/C][/ROW]
[ROW][C]192[/C][C]0.983678[/C][C]0.0326439[/C][C]0.0163219[/C][/ROW]
[ROW][C]193[/C][C]0.983731[/C][C]0.0325378[/C][C]0.0162689[/C][/ROW]
[ROW][C]194[/C][C]0.982334[/C][C]0.0353317[/C][C]0.0176659[/C][/ROW]
[ROW][C]195[/C][C]0.97914[/C][C]0.04172[/C][C]0.02086[/C][/ROW]
[ROW][C]196[/C][C]0.974513[/C][C]0.0509741[/C][C]0.025487[/C][/ROW]
[ROW][C]197[/C][C]0.970264[/C][C]0.0594711[/C][C]0.0297356[/C][/ROW]
[ROW][C]198[/C][C]0.968654[/C][C]0.0626918[/C][C]0.0313459[/C][/ROW]
[ROW][C]199[/C][C]0.961961[/C][C]0.0760779[/C][C]0.0380389[/C][/ROW]
[ROW][C]200[/C][C]0.958938[/C][C]0.082125[/C][C]0.0410625[/C][/ROW]
[ROW][C]201[/C][C]0.951374[/C][C]0.0972528[/C][C]0.0486264[/C][/ROW]
[ROW][C]202[/C][C]0.941067[/C][C]0.117866[/C][C]0.0589331[/C][/ROW]
[ROW][C]203[/C][C]0.930351[/C][C]0.139299[/C][C]0.0696494[/C][/ROW]
[ROW][C]204[/C][C]0.938424[/C][C]0.123151[/C][C]0.0615757[/C][/ROW]
[ROW][C]205[/C][C]0.931558[/C][C]0.136883[/C][C]0.0684416[/C][/ROW]
[ROW][C]206[/C][C]0.918902[/C][C]0.162196[/C][C]0.0810978[/C][/ROW]
[ROW][C]207[/C][C]0.974869[/C][C]0.0502623[/C][C]0.0251312[/C][/ROW]
[ROW][C]208[/C][C]0.968258[/C][C]0.063484[/C][C]0.031742[/C][/ROW]
[ROW][C]209[/C][C]0.973559[/C][C]0.0528816[/C][C]0.0264408[/C][/ROW]
[ROW][C]210[/C][C]0.968156[/C][C]0.063688[/C][C]0.031844[/C][/ROW]
[ROW][C]211[/C][C]0.961476[/C][C]0.0770476[/C][C]0.0385238[/C][/ROW]
[ROW][C]212[/C][C]0.952711[/C][C]0.0945773[/C][C]0.0472887[/C][/ROW]
[ROW][C]213[/C][C]0.961618[/C][C]0.0767631[/C][C]0.0383816[/C][/ROW]
[ROW][C]214[/C][C]0.956804[/C][C]0.086392[/C][C]0.043196[/C][/ROW]
[ROW][C]215[/C][C]0.953631[/C][C]0.0927377[/C][C]0.0463689[/C][/ROW]
[ROW][C]216[/C][C]0.958054[/C][C]0.0838925[/C][C]0.0419462[/C][/ROW]
[ROW][C]217[/C][C]0.950358[/C][C]0.0992836[/C][C]0.0496418[/C][/ROW]
[ROW][C]218[/C][C]0.939441[/C][C]0.121118[/C][C]0.0605589[/C][/ROW]
[ROW][C]219[/C][C]0.925296[/C][C]0.149408[/C][C]0.0747039[/C][/ROW]
[ROW][C]220[/C][C]0.914095[/C][C]0.171809[/C][C]0.0859046[/C][/ROW]
[ROW][C]221[/C][C]0.913561[/C][C]0.172877[/C][C]0.0864386[/C][/ROW]
[ROW][C]222[/C][C]0.901202[/C][C]0.197597[/C][C]0.0987985[/C][/ROW]
[ROW][C]223[/C][C]0.90243[/C][C]0.195139[/C][C]0.0975696[/C][/ROW]
[ROW][C]224[/C][C]0.884694[/C][C]0.230612[/C][C]0.115306[/C][/ROW]
[ROW][C]225[/C][C]0.865414[/C][C]0.269172[/C][C]0.134586[/C][/ROW]
[ROW][C]226[/C][C]0.841622[/C][C]0.316755[/C][C]0.158378[/C][/ROW]
[ROW][C]227[/C][C]0.817016[/C][C]0.365968[/C][C]0.182984[/C][/ROW]
[ROW][C]228[/C][C]0.787571[/C][C]0.424857[/C][C]0.212429[/C][/ROW]
[ROW][C]229[/C][C]0.878038[/C][C]0.243924[/C][C]0.121962[/C][/ROW]
[ROW][C]230[/C][C]0.873772[/C][C]0.252457[/C][C]0.126228[/C][/ROW]
[ROW][C]231[/C][C]0.847215[/C][C]0.30557[/C][C]0.152785[/C][/ROW]
[ROW][C]232[/C][C]0.924714[/C][C]0.150572[/C][C]0.075286[/C][/ROW]
[ROW][C]233[/C][C]0.914459[/C][C]0.171083[/C][C]0.0855415[/C][/ROW]
[ROW][C]234[/C][C]0.89864[/C][C]0.20272[/C][C]0.10136[/C][/ROW]
[ROW][C]235[/C][C]0.879545[/C][C]0.24091[/C][C]0.120455[/C][/ROW]
[ROW][C]236[/C][C]0.906341[/C][C]0.187319[/C][C]0.0936593[/C][/ROW]
[ROW][C]237[/C][C]0.882531[/C][C]0.234939[/C][C]0.117469[/C][/ROW]
[ROW][C]238[/C][C]0.883589[/C][C]0.232822[/C][C]0.116411[/C][/ROW]
[ROW][C]239[/C][C]0.964357[/C][C]0.0712853[/C][C]0.0356427[/C][/ROW]
[ROW][C]240[/C][C]0.955518[/C][C]0.0889647[/C][C]0.0444824[/C][/ROW]
[ROW][C]241[/C][C]0.971765[/C][C]0.0564699[/C][C]0.0282349[/C][/ROW]
[ROW][C]242[/C][C]0.961286[/C][C]0.0774278[/C][C]0.0387139[/C][/ROW]
[ROW][C]243[/C][C]0.950751[/C][C]0.0984988[/C][C]0.0492494[/C][/ROW]
[ROW][C]244[/C][C]0.940781[/C][C]0.118438[/C][C]0.059219[/C][/ROW]
[ROW][C]245[/C][C]0.928784[/C][C]0.142433[/C][C]0.0712164[/C][/ROW]
[ROW][C]246[/C][C]0.92289[/C][C]0.154219[/C][C]0.0771096[/C][/ROW]
[ROW][C]247[/C][C]0.907511[/C][C]0.184977[/C][C]0.0924887[/C][/ROW]
[ROW][C]248[/C][C]0.939917[/C][C]0.120166[/C][C]0.0600828[/C][/ROW]
[ROW][C]249[/C][C]0.963513[/C][C]0.0729733[/C][C]0.0364867[/C][/ROW]
[ROW][C]250[/C][C]0.963528[/C][C]0.0729442[/C][C]0.0364721[/C][/ROW]
[ROW][C]251[/C][C]0.955594[/C][C]0.0888126[/C][C]0.0444063[/C][/ROW]
[ROW][C]252[/C][C]0.996942[/C][C]0.00611595[/C][C]0.00305798[/C][/ROW]
[ROW][C]253[/C][C]0.994851[/C][C]0.0102974[/C][C]0.00514869[/C][/ROW]
[ROW][C]254[/C][C]0.992486[/C][C]0.015028[/C][C]0.00751401[/C][/ROW]
[ROW][C]255[/C][C]0.988565[/C][C]0.0228691[/C][C]0.0114345[/C][/ROW]
[ROW][C]256[/C][C]0.981337[/C][C]0.0373263[/C][C]0.0186632[/C][/ROW]
[ROW][C]257[/C][C]0.975104[/C][C]0.0497928[/C][C]0.0248964[/C][/ROW]
[ROW][C]258[/C][C]0.995187[/C][C]0.00962661[/C][C]0.00481331[/C][/ROW]
[ROW][C]259[/C][C]0.991228[/C][C]0.017545[/C][C]0.0087725[/C][/ROW]
[ROW][C]260[/C][C]0.98845[/C][C]0.0231007[/C][C]0.0115503[/C][/ROW]
[ROW][C]261[/C][C]0.979987[/C][C]0.0400263[/C][C]0.0200132[/C][/ROW]
[ROW][C]262[/C][C]0.970007[/C][C]0.059986[/C][C]0.029993[/C][/ROW]
[ROW][C]263[/C][C]0.968971[/C][C]0.0620572[/C][C]0.0310286[/C][/ROW]
[ROW][C]264[/C][C]0.952608[/C][C]0.0947849[/C][C]0.0473924[/C][/ROW]
[ROW][C]265[/C][C]0.92181[/C][C]0.15638[/C][C]0.07819[/C][/ROW]
[ROW][C]266[/C][C]0.898346[/C][C]0.203307[/C][C]0.101654[/C][/ROW]
[ROW][C]267[/C][C]0.903549[/C][C]0.192901[/C][C]0.0964507[/C][/ROW]
[ROW][C]268[/C][C]0.878964[/C][C]0.242071[/C][C]0.121036[/C][/ROW]
[ROW][C]269[/C][C]0.832014[/C][C]0.335972[/C][C]0.167986[/C][/ROW]
[ROW][C]270[/C][C]0.68888[/C][C]0.622241[/C][C]0.31112[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=271124&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=271124&T=5

As an alternative you can also use a QR Code:  
QR Code


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

Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
85.65255e-461.13051e-451
9001
10001
113.04787e-916.09574e-911
123.0121e-1046.02419e-1041
13001
14001
151.27203e-1512.54406e-1511
160.005965380.01193080.994035
170.002730850.005461710.997269
180.001228360.002456730.998772
190.1039780.2079560.896022
200.09242360.1848470.907576
210.06454710.1290940.935453
220.0434950.08699010.956505
230.02961220.05922440.970388
240.01900010.03800030.981
250.01195810.02391610.988042
260.007480520.0149610.992519
270.04845410.09690820.951546
280.08354370.1670870.916456
290.0618450.123690.938155
300.04648330.09296670.953517
310.03895370.07790740.961046
320.02837430.05674850.971626
330.02023980.04047960.97976
340.01418850.02837690.985812
350.01205380.02410760.987946
360.01037280.02074570.989627
370.007129590.01425920.99287
380.01970950.0394190.98029
390.01404670.02809340.985953
400.009989730.01997950.99001
410.007389210.01477840.992611
420.0053630.0107260.994637
430.00382050.007640990.99618
440.002564710.005129410.997435
450.002894160.005788320.997106
460.001949730.003899450.99805
470.002258210.004516430.997742
480.006584730.01316950.993415
490.007272260.01454450.992728
500.01161520.02323040.988385
510.02288120.04576250.977119
520.02557910.05115810.974421
530.02001910.04003810.979981
540.05145880.1029180.948541
550.05223120.1044620.947769
560.04776820.09553630.952232
570.1100540.2201090.889946
580.1021480.2042950.897852
590.09624030.1924810.90376
600.1025490.2050970.897451
610.08572510.171450.914275
620.07234990.14470.92765
630.07282710.1456540.927173
640.0589740.1179480.941026
650.04774990.09549990.95225
660.04705030.09410060.95295
670.037940.07587990.96206
680.03084050.0616810.96916
690.02430410.04860810.975696
700.02816530.05633060.971835
710.02254390.04508780.977456
720.02143760.04287530.978562
730.02212570.04425130.977874
740.02187870.04375750.978121
750.01977970.03955940.98022
760.01621320.03242640.983787
770.01815770.03631530.981842
780.01518340.03036680.984817
790.01446740.02893480.985533
800.01465170.02930340.985348
810.01577560.03155120.984224
820.01793330.03586660.982067
830.01725010.03450010.98275
840.02354570.04709140.976454
850.03178480.06356950.968215
860.03347320.06694640.966527
870.02953420.05906840.970466
880.02531830.05063670.974682
890.02558940.05117890.974411
900.03202070.06404140.967979
910.02684480.05368960.973155
920.03590850.0718170.964092
930.05185740.1037150.948143
940.05086330.1017270.949137
950.05186660.1037330.948133
960.06006150.1201230.939939
970.07538510.150770.924615
980.07096060.1419210.929039
990.06393660.1278730.936063
1000.07242920.1448580.927571
1010.06251510.125030.937485
1020.06222470.1244490.937775
1030.05977010.119540.94023
1040.07715160.1543030.922848
1050.07044410.1408880.929556
1060.07477820.1495560.925222
1070.07110290.1422060.928897
1080.07737040.1547410.92263
1090.06852210.1370440.931478
1100.06973270.1394650.930267
1110.07798060.1559610.922019
1120.07792910.1558580.922071
1130.1274320.2548640.872568
1140.2433110.4866230.756689
1150.2420260.4840530.757974
1160.2323890.4647790.767611
1170.2335940.4671880.766406
1180.2135920.4271840.786408
1190.189010.3780190.81099
1200.1817330.3634660.818267
1210.1761190.3522390.823881
1220.2617310.5234620.738269
1230.2552450.5104910.744755
1240.4267180.8534370.573282
1250.4482680.8965360.551732
1260.4585730.9171470.541427
1270.4461690.8923370.553831
1280.5035620.9928770.496438
1290.5248120.9503760.475188
1300.5557270.8885460.444273
1310.5628580.8742840.437142
1320.5459890.9080210.454011
1330.5601160.8797680.439884
1340.5843110.8313790.415689
1350.6440660.7118690.355934
1360.702470.595060.29753
1370.7049090.5901830.295091
1380.8142180.3715640.185782
1390.8066960.3866080.193304
1400.8309210.3381580.169079
1410.8210340.3579330.178966
1420.7987170.4025650.201283
1430.7827430.4345140.217257
1440.7872960.4254070.212704
1450.7751860.4496270.224814
1460.7692070.4615870.230793
1470.7708520.4582970.229148
1480.7873650.4252690.212635
1490.7737340.4525320.226266
1500.7502920.4994160.249708
1510.7277240.5445530.272276
1520.7738590.4522820.226141
1530.7607480.4785040.239252
1540.7336190.5327630.266381
1550.7153440.5693120.284656
1560.7093090.5813820.290691
1570.7160710.5678570.283929
1580.7421590.5156810.257841
1590.7451210.5097570.254879
1600.7281440.5437120.271856
1610.7322190.5355620.267781
1620.7222470.5555050.277753
1630.6994570.6010860.300543
1640.9300260.1399480.0699741
1650.9436930.1126150.0563074
1660.9343590.1312820.0656412
1670.9338050.132390.0661952
1680.9305370.1389260.0694629
1690.9264830.1470350.0735173
1700.9195550.1608890.0804447
1710.9121760.1756480.0878242
1720.9095870.1808270.0904133
1730.9260940.1478120.0739059
1740.9133970.1732060.0866032
1750.8990330.2019350.100967
1760.8940730.2118550.105927
1770.900280.1994390.0997196
1780.8924840.2150330.107516
1790.923260.153480.07674
1800.9569410.08611780.0430589
1810.9504160.0991680.049584
1820.9590890.08182190.040911
1830.960180.07964020.0398201
1840.9582740.08345220.0417261
1850.9851860.02962860.0148143
1860.9835620.0328750.0164375
1870.982040.03592090.0179605
1880.984190.03161950.0158097
1890.9888030.02239450.0111973
1900.9858990.02820170.0141008
1910.9826210.03475890.0173795
1920.9836780.03264390.0163219
1930.9837310.03253780.0162689
1940.9823340.03533170.0176659
1950.979140.041720.02086
1960.9745130.05097410.025487
1970.9702640.05947110.0297356
1980.9686540.06269180.0313459
1990.9619610.07607790.0380389
2000.9589380.0821250.0410625
2010.9513740.09725280.0486264
2020.9410670.1178660.0589331
2030.9303510.1392990.0696494
2040.9384240.1231510.0615757
2050.9315580.1368830.0684416
2060.9189020.1621960.0810978
2070.9748690.05026230.0251312
2080.9682580.0634840.031742
2090.9735590.05288160.0264408
2100.9681560.0636880.031844
2110.9614760.07704760.0385238
2120.9527110.09457730.0472887
2130.9616180.07676310.0383816
2140.9568040.0863920.043196
2150.9536310.09273770.0463689
2160.9580540.08389250.0419462
2170.9503580.09928360.0496418
2180.9394410.1211180.0605589
2190.9252960.1494080.0747039
2200.9140950.1718090.0859046
2210.9135610.1728770.0864386
2220.9012020.1975970.0987985
2230.902430.1951390.0975696
2240.8846940.2306120.115306
2250.8654140.2691720.134586
2260.8416220.3167550.158378
2270.8170160.3659680.182984
2280.7875710.4248570.212429
2290.8780380.2439240.121962
2300.8737720.2524570.126228
2310.8472150.305570.152785
2320.9247140.1505720.075286
2330.9144590.1710830.0855415
2340.898640.202720.10136
2350.8795450.240910.120455
2360.9063410.1873190.0936593
2370.8825310.2349390.117469
2380.8835890.2328220.116411
2390.9643570.07128530.0356427
2400.9555180.08896470.0444824
2410.9717650.05646990.0282349
2420.9612860.07742780.0387139
2430.9507510.09849880.0492494
2440.9407810.1184380.059219
2450.9287840.1424330.0712164
2460.922890.1542190.0771096
2470.9075110.1849770.0924887
2480.9399170.1201660.0600828
2490.9635130.07297330.0364867
2500.9635280.07294420.0364721
2510.9555940.08881260.0444063
2520.9969420.006115950.00305798
2530.9948510.01029740.00514869
2540.9924860.0150280.00751401
2550.9885650.02286910.0114345
2560.9813370.03732630.0186632
2570.9751040.04979280.0248964
2580.9951870.009626610.00481331
2590.9912280.0175450.0087725
2600.988450.02310070.0115503
2610.9799870.04002630.0200132
2620.9700070.0599860.029993
2630.9689710.06205720.0310286
2640.9526080.09478490.0473924
2650.921810.156380.07819
2660.8983460.2033070.101654
2670.9035490.1929010.0964507
2680.8789640.2420710.121036
2690.8320140.3359720.167986
2700.688880.6222410.31112






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level170.0646388NOK
5% type I error level700.26616NOK
10% type I error level1240.471483NOK

\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 & 17 & 0.0646388 & NOK \tabularnewline
5% type I error level & 70 & 0.26616 & NOK \tabularnewline
10% type I error level & 124 & 0.471483 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=271124&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]17[/C][C]0.0646388[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]70[/C][C]0.26616[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]124[/C][C]0.471483[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=271124&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=271124&T=6

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

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level170.0646388NOK
5% type I error level700.26616NOK
10% type I error level1240.471483NOK


Figures (Output of Computation)

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Input Parameters & R Code

Parameters (Session):
par1 = 1 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;
Parameters (R input):
par1 = 1 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;
R code (references can be found in the software module):
library(lattice)
library(lmtest)
n25 <- 25 #minimum number of obs. for Goldfeld-Quandt test
par1 <- as.numeric(par1)
x <- t(y)
k <- length(x[1,])
n <- length(x[,1])
x1 <- cbind(x[,par1], x[,1:k!=par1])
mycolnames <- c(colnames(x)[par1], colnames(x)[1:k!=par1])
colnames(x1) <- mycolnames #colnames(x)[par1]
x <- x1
if (par3 == 'First Differences'){
x2 <- array(0, dim=c(n-1,k), dimnames=list(1:(n-1), paste('(1-B)',colnames(x),sep='')))
for (i in 1:n-1) {
for (j in 1:k) {
x2[i,j] <- x[i+1,j] - x[i,j]
}
}
x <- x2
}
if (par2 == 'Include Monthly Dummies'){
x2 <- array(0, dim=c(n,11), dimnames=list(1:n, paste('M', seq(1:11), sep ='')))
for (i in 1:11){
x2[seq(i,n,12),i] <- 1
}
x <- cbind(x, x2)
}
if (par2 == 'Include Quarterly Dummies'){
x2 <- array(0, dim=c(n,3), dimnames=list(1:n, paste('Q', seq(1:3), sep ='')))
for (i in 1:3){
x2[seq(i,n,4),i] <- 1
}
x <- cbind(x, x2)
}
k <- length(x[1,])
if (par3 == 'Linear Trend'){
x <- cbind(x, c(1:n))
colnames(x)[k+1] <- 't'
}
x
k <- length(x[1,])
df <- as.data.frame(x)
(mylm <- lm(df))
(mysum <- summary(mylm))
if (n > n25) {
kp3 <- k + 3
nmkm3 <- n - k - 3
gqarr <- array(NA, dim=c(nmkm3-kp3+1,3))
numgqtests <- 0
numsignificant1 <- 0
numsignificant5 <- 0
numsignificant10 <- 0
for (mypoint in kp3:nmkm3) {
j <- 0
numgqtests <- numgqtests + 1
for (myalt in c('greater', 'two.sided', 'less')) {
j <- j + 1
gqarr[mypoint-kp3+1,j] <- gqtest(mylm, point=mypoint, alternative=myalt)$p.value
}
if (gqarr[mypoint-kp3+1,2] < 0.01) numsignificant1 <- numsignificant1 + 1
if (gqarr[mypoint-kp3+1,2] < 0.05) numsignificant5 <- numsignificant5 + 1
if (gqarr[mypoint-kp3+1,2] < 0.10) numsignificant10 <- numsignificant10 + 1
}
gqarr
}
bitmap(file='test0.png')
plot(x[,1], type='l', main='Actuals and Interpolation', ylab='value of Actuals and Interpolation (dots)', xlab='time or index')
points(x[,1]-mysum$resid)
grid()
dev.off()
bitmap(file='test1.png')
plot(mysum$resid, type='b', pch=19, main='Residuals', ylab='value of Residuals', xlab='time or index')
grid()
dev.off()
bitmap(file='test2.png')
hist(mysum$resid, main='Residual Histogram', xlab='values of Residuals')
grid()
dev.off()
bitmap(file='test3.png')
densityplot(~mysum$resid,col='black',main='Residual Density Plot', xlab='values of Residuals')
dev.off()
bitmap(file='test4.png')
qqnorm(mysum$resid, main='Residual Normal Q-Q Plot')
qqline(mysum$resid)
grid()
dev.off()
(myerror <- as.ts(mysum$resid))
bitmap(file='test5.png')
dum <- cbind(lag(myerror,k=1),myerror)
dum
dum1 <- dum[2:length(myerror),]
dum1
z <- as.data.frame(dum1)
z
plot(z,main=paste('Residual Lag plot, lowess, and regression line'), ylab='values of Residuals', xlab='lagged values of Residuals')
lines(lowess(z))
abline(lm(z))
grid()
dev.off()
bitmap(file='test6.png')
acf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Autocorrelation Function')
grid()
dev.off()
bitmap(file='test7.png')
pacf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Partial Autocorrelation Function')
grid()
dev.off()
bitmap(file='test8.png')
opar <- par(mfrow = c(2,2), oma = c(0, 0, 1.1, 0))
plot(mylm, las = 1, sub='Residual Diagnostics')
par(opar)
dev.off()
if (n > n25) {
bitmap(file='test9.png')
plot(kp3:nmkm3,gqarr[,2], main='Goldfeld-Quandt test',ylab='2-sided p-value',xlab='breakpoint')
grid()
dev.off()
}
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Estimated Regression Equation', 1, TRUE)
a<-table.row.end(a)
myeq <- colnames(x)[1]
myeq <- paste(myeq, '[t] = ', sep='')
for (i in 1:k){
if (mysum$coefficients[i,1] > 0) myeq <- paste(myeq, '+', '')
myeq <- paste(myeq, signif(mysum$coefficients[i,1],6), sep=' ')
if (rownames(mysum$coefficients)[i] != '(Intercept)') {
myeq <- paste(myeq, rownames(mysum$coefficients)[i], sep='')
if (rownames(mysum$coefficients)[i] != 't') myeq <- paste(myeq, '[t]', sep='')
}
}
myeq <- paste(myeq, ' + e[t]')
a<-table.row.start(a)
a<-table.element(a, myeq)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable1.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,hyperlink('ols1.htm','Multiple Linear Regression - Ordinary Least Squares',''), 6, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Variable',header=TRUE)
a<-table.element(a,'Parameter',header=TRUE)
a<-table.element(a,'S.D.',header=TRUE)
a<-table.element(a,'T-STAT
H0: parameter = 0',header=TRUE)
a<-table.element(a,'2-tail p-value',header=TRUE)
a<-table.element(a,'1-tail p-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:k){
a<-table.row.start(a)
a<-table.element(a,rownames(mysum$coefficients)[i],header=TRUE)
a<-table.element(a,signif(mysum$coefficients[i,1],6))
a<-table.element(a, signif(mysum$coefficients[i,2],6))
a<-table.element(a, signif(mysum$coefficients[i,3],4))
a<-table.element(a, signif(mysum$coefficients[i,4],6))
a<-table.element(a, signif(mysum$coefficients[i,4]/2,6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable2.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Regression Statistics', 2, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Multiple R',1,TRUE)
a<-table.element(a, signif(sqrt(mysum$r.squared),6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'R-squared',1,TRUE)
a<-table.element(a, signif(mysum$r.squared,6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Adjusted R-squared',1,TRUE)
a<-table.element(a, signif(mysum$adj.r.squared,6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (value)',1,TRUE)
a<-table.element(a, signif(mysum$fstatistic[1],6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (DF numerator)',1,TRUE)
a<-table.element(a, signif(mysum$fstatistic[2],6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (DF denominator)',1,TRUE)
a<-table.element(a, signif(mysum$fstatistic[3],6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'p-value',1,TRUE)
a<-table.element(a, signif(1-pf(mysum$fstatistic[1],mysum$fstatistic[2],mysum$fstatistic[3]),6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Residual Statistics', 2, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Residual Standard Deviation',1,TRUE)
a<-table.element(a, signif(mysum$sigma,6))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Sum Squared Residuals',1,TRUE)
a<-table.element(a, signif(sum(myerror*myerror),6))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable3.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Actuals, Interpolation, and Residuals', 4, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Time or Index', 1, TRUE)
a<-table.element(a, 'Actuals', 1, TRUE)
a<-table.element(a, 'Interpolation
Forecast', 1, TRUE)
a<-table.element(a, 'Residuals
Prediction Error', 1, TRUE)
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,i, 1, TRUE)
a<-table.element(a,signif(x[i],6))
a<-table.element(a,signif(x[i]-mysum$resid[i],6))
a<-table.element(a,signif(mysum$resid[i],6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable4.tab')
if (n > n25) {
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Goldfeld-Quandt test for Heteroskedasticity',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'p-values',header=TRUE)
a<-table.element(a,'Alternative Hypothesis',3,header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'breakpoint index',header=TRUE)
a<-table.element(a,'greater',header=TRUE)
a<-table.element(a,'2-sided',header=TRUE)
a<-table.element(a,'less',header=TRUE)
a<-table.row.end(a)
for (mypoint in kp3:nmkm3) {
a<-table.row.start(a)
a<-table.element(a,mypoint,header=TRUE)
a<-table.element(a,signif(gqarr[mypoint-kp3+1,1],6))
a<-table.element(a,signif(gqarr[mypoint-kp3+1,2],6))
a<-table.element(a,signif(gqarr[mypoint-kp3+1,3],6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable5.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Description',header=TRUE)
a<-table.element(a,'# significant tests',header=TRUE)
a<-table.element(a,'% significant tests',header=TRUE)
a<-table.element(a,'OK/NOK',header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'1% type I error level',header=TRUE)
a<-table.element(a,signif(numsignificant1,6))
a<-table.element(a,signif(numsignificant1/numgqtests,6))
if (numsignificant1/numgqtests < 0.01) dum <- 'OK' else dum <- 'NOK'
a<-table.element(a,dum)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'5% type I error level',header=TRUE)
a<-table.element(a,signif(numsignificant5,6))
a<-table.element(a,signif(numsignificant5/numgqtests,6))
if (numsignificant5/numgqtests < 0.05) dum <- 'OK' else dum <- 'NOK'
a<-table.element(a,dum)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'10% type I error level',header=TRUE)
a<-table.element(a,signif(numsignificant10,6))
a<-table.element(a,signif(numsignificant10/numgqtests,6))
if (numsignificant10/numgqtests < 0.1) dum <- 'OK' else dum <- 'NOK'
a<-table.element(a,dum)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable6.tab')
}