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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 computationTue, 09 Dec 2014 18:38:17 +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/09/t1418150350ns1p4xpnuqcqaie.htm/, Retrieved Fri, 01 Nov 2024 00:13:27 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=264797, Retrieved Fri, 01 Nov 2024 00:13:27 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact111

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Multiple Regression] [] [2014-12-09 18:38:17] [6398a3f6f1f2f5e55f0ec79c736f94f8] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1 149 68 12.9 1.00
1 139 39 12.2 0.89
1 148 32 12.8 0.89
1 158 62 7.4 0.89
1 128 33 6.7 0.89
1 224 52 12.6 0.78
1 159 62 14.8 0.89
1 105 77 13.3 1.00
1 159 76 11.1 0.89
1 167 41 8.2 0.78
1 165 48 11.4 1.00
1 159 63 6.4 0.78
1 119 30 10.6 0.89
1 176 78 12.0 0.89
1 54 19 6.3 0.89
0 91 31 11.3 0.89
1 163 66 11.9 0.89
1 124 35 9.3 0.67
0 137 42 9.6 1.00
1 121 45 10.0 0.78
1 153 21 6.4 0.78
1 148 25 13.8 0.89
1 221 44 10.8 0.78
1 188 69 13.8 0.89
1 149 54 11.7 0.89
1 244 74 10.9 0.33
0 148 80 16.1 1.00
0 92 42 13.4 0.89
1 150 61 9.9 0.89
1 153 41 11.5 0.67
1 94 46 8.3 0.56
1 156 39 11.7 0.89
1 132 34 9.0 0.89
1 161 51 9.7 1.00
1 105 42 10.8 0.78
1 97 31 10.3 0.78
1 151 39 10.4 0.33
0 131 20 12.7 0.78
1 166 49 9.3 0.89
1 157 53 11.8 0.89
1 111 31 5.9 0.78
1 145 39 11.4 0.89
1 162 54 13.0 0.89
1 163 49 10.8 1.00
0 59 34 12.3 0.67
1 187 46 11.3 1.00
1 109 55 11.8 0.89
0 90 42 7.9 0.89
1 105 50 12.7 0.89
0 83 13 12.3 0.78
0 116 37 11.6 0.89
0 42 25 6.7 0.78
1 148 30 10.9 0.78
0 155 28 12.1 1.00
1 125 45 13.3 0.78
1 116 35 10.1 1.00
0 128 28 5.7 0.78
1 138 41 14.3 0.67
0 49 6 8.0 0.33
0 96 45 13.3 1.00
1 164 73 9.3 1.00
1 162 17 12.5 0.78
1 99 40 7.6 0.67
1 202 64 15.9 1.00
1 186 37 9.2 0.89
0 66 25 9.1 0.89
1 183 65 11.1 0.78
1 214 100 13.0 1.00
1 188 28 14.5 0.56
0 104 35 12.2 0.67
1 177 56 12.3 0.89
1 126 29 11.4 0.89
0 76 43 8.8 0.89
0 99 59 14.6 0.89
1 139 50 12.6 0.78
1 78 3 NA 0.89
1 162 59 13.0 1.00
0 108 27 12.6 1.00
1 159 61 13.2 0.89
0 74 28 9.9 0.44
1 110 51 7.7 0.78
0 96 35 10.5 0.89
0 116 29 13.4 0.67
0 87 48 10.9 0.78
0 97 25 4.3 0.78
0 127 44 10.3 0.33
0 106 64 11.8 0.89
0 80 32 11.2 0.89
0 74 20 11.4 0.89
0 91 28 8.6 0.89
0 133 34 13.2 0.56
0 74 31 12.6 0.67
0 114 26 5.6 0.67
0 140 58 9.9 0.78
0 95 23 8.8 0.78
0 98 21 7.7 0.78
0 121 21 9.0 0.89
0 126 33 7.3 1.00
0 98 16 11.4 0.89
0 95 20 13.6 0.89
0 110 37 7.9 0.78
0 70 35 10.7 1.00
0 102 33 10.3 0.78
0 86 27 8.3 0.67
0 130 41 9.6 0.78
0 96 40 14.2 0.89
0 102 35 8.5 0.67
0 100 28 13.5 0.22
0 94 32 4.9 0.44
0 52 22 6.4 0.89
0 98 44 9.6 0.67
0 118 27 11.6 0.89
0 99 17 11.1 0.67
1 48 12 4.35 0.78
1 50 45 12.7 0.78
1 150 37 18.1 0.78
1 154 37 17.85 1.00
0 109 108 16.6 0.78
0 68 10 12.6 0.67
1 194 68 17.1 0.89
1 158 72 19.1 0.89
1 159 143 16.1 1.00
1 67 9 13.35 0.78
1 147 55 18.4 0.67
1 39 17 14.7 0.89
1 100 37 10.6 0.67
1 111 27 12.6 0.67
1 138 37 16.2 1.00
1 101 58 13.6 0.67
0 131 66 18.9 1.00
1 101 21 14.1 0.89
1 114 19 14.5 0.89
1 165 78 16.15 1.00
1 114 35 14.75 0.67
1 111 48 14.8 0.44
1 75 27 12.45 0.89
1 82 43 12.65 0.56
1 121 30 17.35 0.78
1 32 25 8.6 1.00
1 150 69 18.4 1.00
1 117 72 16.1 0.89
0 71 23 11.6 0.67
1 165 13 17.75 0.89
1 154 61 15.25 0.33
1 126 43 17.65 0.89
1 149 51 16.35 0.78
1 145 67 17.65 1.00
1 120 36 13.6 0.44
1 109 44 14.35 0.67
1 132 45 14.75 0.33
1 172 34 18.25 0.89
1 169 36 9.9 0.89
1 114 72 16 1.00
1 156 39 18.25 0.89
1 172 43 16.85 0.89
0 68 25 14.6 1.00
0 89 56 13.85 0.89
1 167 80 18.95 1.00
1 113 40 15.6 0.78
0 115 73 14.85 0.78
0 78 34 11.75 0.67
0 118 72 18.45 0.89
0 87 42 15.9 0.67
1 173 61 17.1 0.78
1 2 23 16.1 0.89
0 162 74 19.9 0.89
0 49 16 10.95 0.78
0 122 66 18.45 1.00
0 96 9 15.1 1.00
0 100 41 15 1.00
0 82 57 11.35 0.67
0 100 48 15.95 0.89
0 115 51 18.1 1.00
0 141 53 14.6 1.00
1 165 29 15.4 0.89
1 165 29 15.4 0.89
0 110 55 17.6 0.89
1 118 54 13.35 0.89
1 158 43 19.1 0.89
0 146 51 15.35 1.00
1 49 20 7.6 0.67
0 90 79 13.4 1.00
0 121 39 13.9 0.89
1 155 61 19.1 0.89
0 104 55 15.25 0.89
0 147 30 12.9 0.89
0 110 55 16.1 1.00
0 108 22 17.35 1.00
0 113 37 13.15 1.00
0 115 2 12.15 0.89
0 61 38 12.6 0.89
0 60 27 10.35 0.89
0 109 56 15.4 0.33
0 68 25 9.6 0.67
0 111 39 18.2 0.56
0 77 33 13.6 0.44
0 73 43 14.85 1.00
1 151 57 14.75 0.89
0 89 43 14.1 0.33
0 78 23 14.9 0.67
0 110 44 16.25 0.67
1 220 54 19.25 1.00
0 65 28 13.6 0.78
1 141 36 13.6 0.67
0 117 39 15.65 1.00
1 122 16 12.75 0.78
0 63 23 14.6 0.89
1 44 40 9.85 0.89
0 52 24 12.65 0.89
0 131 78 19.2 0.00
0 101 57 16.6 0.67
0 42 37 11.2 1.00
1 152 27 15.25 1.00
1 107 61 11.9 0.67
0 77 27 13.2 0.89
1 154 69 16.35 0.89
1 103 34 12.4 0.56
0 96 44 15.85 0.67
1 175 34 18.15 1.00
0 57 39 11.15 1.00
0 112 51 15.65 1.00
1 143 34 17.75 0.67
0 49 31 7.65 0.44
1 110 13 12.35 0.89
1 131 12 15.6 0.44
1 167 51 19.3 0.56
0 56 24 15.2 0.89
1 137 19 17.1 0.67
0 86 30 15.6 0.89
1 121 81 18.4 1.00
1 149 42 19.05 0.78
1 168 22 18.55 0.44
1 140 85 19.1 0.89
0 88 27 13.1 0.89
1 168 25 12.85 0.89
1 94 22 9.5 0.44
1 51 19 4.5 1.00
0 48 14 11.85 0.89
1 145 45 13.6 0.67
1 66 45 11.7 0.33
0 85 28 12.4 0.78
1 109 51 13.35 0.89
0 63 41 11.4 0.78
0 102 31 14.9 0.78
0 162 74 19.9 0.89
0 86 19 11.2 0.78
0 114 51 14.6 0.78
1 164 73 17.6 0.67
1 119 24 14.05 0.89
1 126 61 16.1 0.89
1 132 23 13.35 0.78
1 142 14 11.85 1.00
1 83 54 11.95 1.00
0 94 51 14.75 0.78
0 81 62 15.15 0.78
1 166 36 13.2 0.89
0 110 59 16.85 0.89
0 64 24 7.85 0.67
1 93 26 7.7 1.00
0 104 54 12.6 0.67
0 105 39 7.85 0.56
0 49 16 10.95 0.78
0 88 36 12.35 1.00
0 95 31 9.95 0.67
0 102 31 14.9 0.78
0 99 42 16.65 0.56
0 63 39 13.4 1.00
0 76 25 13.95 0.89
0 109 31 15.7 0.44
0 117 38 16.85 1.00
0 57 31 10.95 0.89
0 120 17 15.35 0.78
0 73 22 12.2 0.89
0 91 55 15.1 0.11
0 108 62 17.75 0.89
0 105 51 15.2 0.89
1 117 30 14.6 1.00
0 119 49 16.65 0.89
0 31 16 8.1 1.00

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time8 seconds
R Server'George Udny Yule' @ yule.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 & 8 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=264797&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]8 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=264797&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=264797&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 time8 seconds
R Server'George Udny Yule' @ yule.wessa.net






Multiple Linear Regression - Estimated Regression Equation
Curus[t] = -0.142126 + 0.00695062LFM[t] -0.000710908CH[t] -0.0132503TOT[t] + 0.055989Calculation[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
Curus[t] =  -0.142126 +  0.00695062LFM[t] -0.000710908CH[t] -0.0132503TOT[t] +  0.055989Calculation[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=264797&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]Curus[t] =  -0.142126 +  0.00695062LFM[t] -0.000710908CH[t] -0.0132503TOT[t] +  0.055989Calculation[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=264797&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=264797&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
Curus[t] = -0.142126 + 0.00695062LFM[t] -0.000710908CH[t] -0.0132503TOT[t] + 0.055989Calculation[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)-0.1421260.153877-0.92360.3564950.178247
LFM0.006950620.0007351019.4551.54594e-187.72968e-19
CH-0.0007109080.00157522-0.45130.6521260.326063
TOT-0.01325030.00828994-1.5980.1111190.0555593
Calculation0.0559890.144420.38770.6985540.349277

\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) & -0.142126 & 0.153877 & -0.9236 & 0.356495 & 0.178247 \tabularnewline
LFM & 0.00695062 & 0.000735101 & 9.455 & 1.54594e-18 & 7.72968e-19 \tabularnewline
CH & -0.000710908 & 0.00157522 & -0.4513 & 0.652126 & 0.326063 \tabularnewline
TOT & -0.0132503 & 0.00828994 & -1.598 & 0.111119 & 0.0555593 \tabularnewline
Calculation & 0.055989 & 0.14442 & 0.3877 & 0.698554 & 0.349277 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=264797&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]-0.142126[/C][C]0.153877[/C][C]-0.9236[/C][C]0.356495[/C][C]0.178247[/C][/ROW]
[ROW][C]LFM[/C][C]0.00695062[/C][C]0.000735101[/C][C]9.455[/C][C]1.54594e-18[/C][C]7.72968e-19[/C][/ROW]
[ROW][C]CH[/C][C]-0.000710908[/C][C]0.00157522[/C][C]-0.4513[/C][C]0.652126[/C][C]0.326063[/C][/ROW]
[ROW][C]TOT[/C][C]-0.0132503[/C][C]0.00828994[/C][C]-1.598[/C][C]0.111119[/C][C]0.0555593[/C][/ROW]
[ROW][C]Calculation[/C][C]0.055989[/C][C]0.14442[/C][C]0.3877[/C][C]0.698554[/C][C]0.349277[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=264797&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=264797&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)-0.1421260.153877-0.92360.3564950.178247
LFM0.006950620.0007351019.4551.54594e-187.72968e-19
CH-0.0007109080.00157522-0.45130.6521260.326063
TOT-0.01325030.00828994-1.5980.1111190.0555593
Calculation0.0559890.144420.38770.6985540.349277






Multiple Linear Regression - Regression Statistics
Multiple R0.524372
R-squared0.274966
Adjusted R-squared0.264343
F-TEST (value)25.8835
F-TEST (DF numerator)4
F-TEST (DF denominator)273
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.429526
Sum Squared Residuals50.3664

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.524372 \tabularnewline
R-squared & 0.274966 \tabularnewline
Adjusted R-squared & 0.264343 \tabularnewline
F-TEST (value) & 25.8835 \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 & 0.429526 \tabularnewline
Sum Squared Residuals & 50.3664 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=264797&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.524372[/C][/ROW]
[ROW][C]R-squared[/C][C]0.274966[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.264343[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]25.8835[/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]0.429526[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]50.3664[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=264797&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=264797&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 R0.524372
R-squared0.274966
Adjusted R-squared0.264343
F-TEST (value)25.8835
F-TEST (DF numerator)4
F-TEST (DF denominator)273
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.429526
Sum Squared Residuals50.3664






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
110.7302340.269766
210.6844610.315539
310.7440430.255957
410.8637740.136226
510.6851470.314853
611.25456-0.254563
710.7726720.227328
810.4127090.587291
910.8117450.188255
1010.9244990.0755008
1110.8755380.124462
1210.8771050.122895
1310.5730470.426953
1410.9165590.0834414
1510.1860540.813946
1600.368444-0.368444
1710.8360570.163943
1810.6091540.390846
1900.709037-0.709037
2010.5780760.421924
2110.8652590.134741
2210.7357690.264231
2311.26325-0.263249
2410.9825140.0174864
2510.7499290.250071
2611.37527-0.375266
2700.672352-0.672352
2800.339749-0.339749
2910.7757540.224246
3010.7773060.222694
3110.3999070.600093
3210.8092470.190753
3310.6817620.318238
3410.8681280.131872
3510.4583990.541601
3610.4172390.582761
3710.7603650.239635
3800.629579-0.629579
3910.9034450.0965553
4010.804920.19508
4110.5728490.427151
4210.7367650.263235
4310.8230610.176939
4410.8688760.131124
4500.118323-0.118323
4611.0312-0.0311985
4710.4698680.530132
4800.398724-0.398724
4910.4336950.566305
5000.306226-0.306226
5100.533969-0.533969
5200.0869218-0.0869218
5310.7644810.235519
5400.810975-0.810975
5510.5621530.437847
5610.5614250.438575
5700.695793-0.695793
5810.6359450.364055
5900.106663-0.106663
6000.372902-0.372902
6110.878640.12136
6210.8498310.150169
6310.4543590.545641
6411.06171-0.0617099
6511.05231-0.052313
6600.228095-0.228095
6710.9802210.0197787
6811.15795-0.157951
6910.9839090.0160907
7000.431715-0.431715
7110.9351740.0648259
7210.6118120.388188
7300.28878-0.28878
7400.360417-0.360417
7510.6651820.334818
7610.8256660.174334
7711.47838-0.478381
780-0.2054170.205417
7911.24577-0.245772
800-0.472170.47217
8111.41095-0.410954
8200.503488-0.503488
8300.327697-0.327697
8400.501007-0.501007
8500.591321-0.591321
8600.442618-0.442618
8700.292601-0.292601
8800.256778-0.256778
8900.406353-0.406353
9000.614585-0.614585
9100.22074-0.22074
9200.595072-0.595072
9300.702221-0.702221
9400.428901-0.428901
9500.46575-0.46575
9600.614547-0.614547
9700.669454-0.669454
9800.426437-0.426437
9900.373591-0.373591
10000.535133-0.535133
10100.233746-0.233746
10200.45057-0.45057
10300.363968-0.363968
10400.648776-0.648776
10500.358373-0.358373
10600.46684-0.46684
10700.366469-0.366469
10800.448192-0.448192
10900.168695-0.168695
11000.418064-0.418064
11100.554979-0.554979
11200.424334-0.424334
1130-0.8309940.830994
11410.04880660.951193
11510.6780040.321996
11610.7214370.278563
11711.36243-0.36243
11800.193966-0.193966
1190-0.01879790.0187979
12010.7016350.298365
12110.7040210.295979
12210.1839470.816053
12310.6342220.365778
1241-0.02808671.02809
12510.4236920.576308
12610.4807570.519243
12710.632090.36791
12810.3759620.624038
12911.52704-0.527043
1300-0.5920420.592042
13110.4944380.505562
13210.7912720.208728
13310.4674330.532567
13410.42380.5762
13510.244840.75516
13610.2609930.739007
13710.491350.50865
13810.004557550.995442
13910.6635970.336403
14010.4564110.543589
14111.21883-0.218826
1420-0.1898790.189879
14310.7013130.298687
14410.5190450.480955
14510.6842890.315711
14610.6402040.359796
14710.5107870.489213
14810.4315820.568418
14910.5663990.433601
15010.8372210.162779
15110.9255880.0744118
15210.4430430.556957
15310.7224570.277543
15410.8493740.150626
15511.17528-0.175278
15600.302982-0.302982
1570-0.233350.23335
15810.4518240.548176
15911.4522-0.452203
16000.257673-0.257673
16100.432223-0.432223
16200.259552-0.259552
1630-0.1659430.165943
1641-0.3080761.30808
16511.71742-0.717416
16600.0856604-0.0856604
16700.47045-0.47045
16800.374644-0.374644
16900.381023-0.381023
17000.274425-0.274425
17100.3573-0.3573
17200.437097-0.437097
17300.662768-0.662768
1740-0.1701150.170115
17510.8298850.170115
17611.39997-0.399967
1770-0.4874030.487403
17810.7222520.277748
17911.689-0.689005
1800-0.8789530.878953
18111.3057-0.305703
18200.536824-0.536824
1830-0.3113960.311396
18411.3894-0.389401
18500.737189-0.737189
18600.426001-0.426001
18700.418997-0.418997
18800.498738-0.498738
18900.544612-0.544612
19000.137724-0.137724
19100.168406-0.168406
19200.390102-0.390102
19300.223053-0.223053
19400.391865-0.391865
19500.214043-0.214043
19600.193922-0.193922
1970-0.2787160.278716
19811.27756-0.277557
19900.223754-0.223754
20000.413357-0.413357
20100.149541-0.149541
20211.15323-0.153226
2030-0.3303730.330373
20411.49199-0.491993
2050-0.4307950.430795
20611.13579-0.135788
2070-0.945420.94542
20811.08446-0.0844582
20900.458548-0.458548
21000.336922-0.336922
21100.031082-0.031082
2120-0.2509050.250905
21310.4380590.561941
21411.2488-0.248803
2150-0.2875960.287596
21610.4166670.583333
21711.32135-0.321349
2180-0.1344430.134443
21911.13458-0.134582
22000.448709-0.448709
2210-0.3700390.370039
22211.09969-0.0996866
2230-0.5006110.500611
22410.5778040.422196
22510.7579940.242006
22611.07847-0.0784723
2270-0.3924660.392466
22811.27743-0.277425
2290-0.5465020.546502
23010.6549110.345089
23110.788780.21122
23210.5672830.432717
23311.32659-0.326585
2340-0.1126310.112631
23510.394350.60565
23610.1952110.804789
23711.07437-0.0743651
2380-0.3089690.308969
23910.1480720.851928
24011.30814-0.308139
2410-0.5478260.547826
24211.15923-0.159234
24300.391041-0.391041
24400.717416-0.717416
24500.337388-0.337388
24600.464205-0.464205
2470-0.2498140.249814
24810.5315990.468401
24910.5267870.473213
25010.6257850.374215
25110.7338820.266118
25210.2940340.705966
25311.32321-0.323205
25400.219727-0.219727
2550-0.138990.13899
25611.40706-0.407061
25700.21915-0.21915
2580-0.560240.56024
25911.41291-0.412908
26000.487303-0.487303
26100.0856604-0.0856604
26200.336283-0.336283
26300.401817-0.401817
26400.391041-0.391041
26500.326863-0.326863
26600.146472-0.146472
26700.233337-0.233337
26800.410059-0.410059
26900.476803-0.476803
27000.13676-0.13676
27100.520142-0.520142
27200.237806-0.237806
27300.257359-0.257359
27400.379102-0.379102
27500.399858-0.399858
2760-0.4876960.487696
27711.47938-0.479376
27800.0106303-0.0106303
2790NANA

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 1 & 0.730234 & 0.269766 \tabularnewline
2 & 1 & 0.684461 & 0.315539 \tabularnewline
3 & 1 & 0.744043 & 0.255957 \tabularnewline
4 & 1 & 0.863774 & 0.136226 \tabularnewline
5 & 1 & 0.685147 & 0.314853 \tabularnewline
6 & 1 & 1.25456 & -0.254563 \tabularnewline
7 & 1 & 0.772672 & 0.227328 \tabularnewline
8 & 1 & 0.412709 & 0.587291 \tabularnewline
9 & 1 & 0.811745 & 0.188255 \tabularnewline
10 & 1 & 0.924499 & 0.0755008 \tabularnewline
11 & 1 & 0.875538 & 0.124462 \tabularnewline
12 & 1 & 0.877105 & 0.122895 \tabularnewline
13 & 1 & 0.573047 & 0.426953 \tabularnewline
14 & 1 & 0.916559 & 0.0834414 \tabularnewline
15 & 1 & 0.186054 & 0.813946 \tabularnewline
16 & 0 & 0.368444 & -0.368444 \tabularnewline
17 & 1 & 0.836057 & 0.163943 \tabularnewline
18 & 1 & 0.609154 & 0.390846 \tabularnewline
19 & 0 & 0.709037 & -0.709037 \tabularnewline
20 & 1 & 0.578076 & 0.421924 \tabularnewline
21 & 1 & 0.865259 & 0.134741 \tabularnewline
22 & 1 & 0.735769 & 0.264231 \tabularnewline
23 & 1 & 1.26325 & -0.263249 \tabularnewline
24 & 1 & 0.982514 & 0.0174864 \tabularnewline
25 & 1 & 0.749929 & 0.250071 \tabularnewline
26 & 1 & 1.37527 & -0.375266 \tabularnewline
27 & 0 & 0.672352 & -0.672352 \tabularnewline
28 & 0 & 0.339749 & -0.339749 \tabularnewline
29 & 1 & 0.775754 & 0.224246 \tabularnewline
30 & 1 & 0.777306 & 0.222694 \tabularnewline
31 & 1 & 0.399907 & 0.600093 \tabularnewline
32 & 1 & 0.809247 & 0.190753 \tabularnewline
33 & 1 & 0.681762 & 0.318238 \tabularnewline
34 & 1 & 0.868128 & 0.131872 \tabularnewline
35 & 1 & 0.458399 & 0.541601 \tabularnewline
36 & 1 & 0.417239 & 0.582761 \tabularnewline
37 & 1 & 0.760365 & 0.239635 \tabularnewline
38 & 0 & 0.629579 & -0.629579 \tabularnewline
39 & 1 & 0.903445 & 0.0965553 \tabularnewline
40 & 1 & 0.80492 & 0.19508 \tabularnewline
41 & 1 & 0.572849 & 0.427151 \tabularnewline
42 & 1 & 0.736765 & 0.263235 \tabularnewline
43 & 1 & 0.823061 & 0.176939 \tabularnewline
44 & 1 & 0.868876 & 0.131124 \tabularnewline
45 & 0 & 0.118323 & -0.118323 \tabularnewline
46 & 1 & 1.0312 & -0.0311985 \tabularnewline
47 & 1 & 0.469868 & 0.530132 \tabularnewline
48 & 0 & 0.398724 & -0.398724 \tabularnewline
49 & 1 & 0.433695 & 0.566305 \tabularnewline
50 & 0 & 0.306226 & -0.306226 \tabularnewline
51 & 0 & 0.533969 & -0.533969 \tabularnewline
52 & 0 & 0.0869218 & -0.0869218 \tabularnewline
53 & 1 & 0.764481 & 0.235519 \tabularnewline
54 & 0 & 0.810975 & -0.810975 \tabularnewline
55 & 1 & 0.562153 & 0.437847 \tabularnewline
56 & 1 & 0.561425 & 0.438575 \tabularnewline
57 & 0 & 0.695793 & -0.695793 \tabularnewline
58 & 1 & 0.635945 & 0.364055 \tabularnewline
59 & 0 & 0.106663 & -0.106663 \tabularnewline
60 & 0 & 0.372902 & -0.372902 \tabularnewline
61 & 1 & 0.87864 & 0.12136 \tabularnewline
62 & 1 & 0.849831 & 0.150169 \tabularnewline
63 & 1 & 0.454359 & 0.545641 \tabularnewline
64 & 1 & 1.06171 & -0.0617099 \tabularnewline
65 & 1 & 1.05231 & -0.052313 \tabularnewline
66 & 0 & 0.228095 & -0.228095 \tabularnewline
67 & 1 & 0.980221 & 0.0197787 \tabularnewline
68 & 1 & 1.15795 & -0.157951 \tabularnewline
69 & 1 & 0.983909 & 0.0160907 \tabularnewline
70 & 0 & 0.431715 & -0.431715 \tabularnewline
71 & 1 & 0.935174 & 0.0648259 \tabularnewline
72 & 1 & 0.611812 & 0.388188 \tabularnewline
73 & 0 & 0.28878 & -0.28878 \tabularnewline
74 & 0 & 0.360417 & -0.360417 \tabularnewline
75 & 1 & 0.665182 & 0.334818 \tabularnewline
76 & 1 & 0.825666 & 0.174334 \tabularnewline
77 & 1 & 1.47838 & -0.478381 \tabularnewline
78 & 0 & -0.205417 & 0.205417 \tabularnewline
79 & 1 & 1.24577 & -0.245772 \tabularnewline
80 & 0 & -0.47217 & 0.47217 \tabularnewline
81 & 1 & 1.41095 & -0.410954 \tabularnewline
82 & 0 & 0.503488 & -0.503488 \tabularnewline
83 & 0 & 0.327697 & -0.327697 \tabularnewline
84 & 0 & 0.501007 & -0.501007 \tabularnewline
85 & 0 & 0.591321 & -0.591321 \tabularnewline
86 & 0 & 0.442618 & -0.442618 \tabularnewline
87 & 0 & 0.292601 & -0.292601 \tabularnewline
88 & 0 & 0.256778 & -0.256778 \tabularnewline
89 & 0 & 0.406353 & -0.406353 \tabularnewline
90 & 0 & 0.614585 & -0.614585 \tabularnewline
91 & 0 & 0.22074 & -0.22074 \tabularnewline
92 & 0 & 0.595072 & -0.595072 \tabularnewline
93 & 0 & 0.702221 & -0.702221 \tabularnewline
94 & 0 & 0.428901 & -0.428901 \tabularnewline
95 & 0 & 0.46575 & -0.46575 \tabularnewline
96 & 0 & 0.614547 & -0.614547 \tabularnewline
97 & 0 & 0.669454 & -0.669454 \tabularnewline
98 & 0 & 0.426437 & -0.426437 \tabularnewline
99 & 0 & 0.373591 & -0.373591 \tabularnewline
100 & 0 & 0.535133 & -0.535133 \tabularnewline
101 & 0 & 0.233746 & -0.233746 \tabularnewline
102 & 0 & 0.45057 & -0.45057 \tabularnewline
103 & 0 & 0.363968 & -0.363968 \tabularnewline
104 & 0 & 0.648776 & -0.648776 \tabularnewline
105 & 0 & 0.358373 & -0.358373 \tabularnewline
106 & 0 & 0.46684 & -0.46684 \tabularnewline
107 & 0 & 0.366469 & -0.366469 \tabularnewline
108 & 0 & 0.448192 & -0.448192 \tabularnewline
109 & 0 & 0.168695 & -0.168695 \tabularnewline
110 & 0 & 0.418064 & -0.418064 \tabularnewline
111 & 0 & 0.554979 & -0.554979 \tabularnewline
112 & 0 & 0.424334 & -0.424334 \tabularnewline
113 & 0 & -0.830994 & 0.830994 \tabularnewline
114 & 1 & 0.0488066 & 0.951193 \tabularnewline
115 & 1 & 0.678004 & 0.321996 \tabularnewline
116 & 1 & 0.721437 & 0.278563 \tabularnewline
117 & 1 & 1.36243 & -0.36243 \tabularnewline
118 & 0 & 0.193966 & -0.193966 \tabularnewline
119 & 0 & -0.0187979 & 0.0187979 \tabularnewline
120 & 1 & 0.701635 & 0.298365 \tabularnewline
121 & 1 & 0.704021 & 0.295979 \tabularnewline
122 & 1 & 0.183947 & 0.816053 \tabularnewline
123 & 1 & 0.634222 & 0.365778 \tabularnewline
124 & 1 & -0.0280867 & 1.02809 \tabularnewline
125 & 1 & 0.423692 & 0.576308 \tabularnewline
126 & 1 & 0.480757 & 0.519243 \tabularnewline
127 & 1 & 0.63209 & 0.36791 \tabularnewline
128 & 1 & 0.375962 & 0.624038 \tabularnewline
129 & 1 & 1.52704 & -0.527043 \tabularnewline
130 & 0 & -0.592042 & 0.592042 \tabularnewline
131 & 1 & 0.494438 & 0.505562 \tabularnewline
132 & 1 & 0.791272 & 0.208728 \tabularnewline
133 & 1 & 0.467433 & 0.532567 \tabularnewline
134 & 1 & 0.4238 & 0.5762 \tabularnewline
135 & 1 & 0.24484 & 0.75516 \tabularnewline
136 & 1 & 0.260993 & 0.739007 \tabularnewline
137 & 1 & 0.49135 & 0.50865 \tabularnewline
138 & 1 & 0.00455755 & 0.995442 \tabularnewline
139 & 1 & 0.663597 & 0.336403 \tabularnewline
140 & 1 & 0.456411 & 0.543589 \tabularnewline
141 & 1 & 1.21883 & -0.218826 \tabularnewline
142 & 0 & -0.189879 & 0.189879 \tabularnewline
143 & 1 & 0.701313 & 0.298687 \tabularnewline
144 & 1 & 0.519045 & 0.480955 \tabularnewline
145 & 1 & 0.684289 & 0.315711 \tabularnewline
146 & 1 & 0.640204 & 0.359796 \tabularnewline
147 & 1 & 0.510787 & 0.489213 \tabularnewline
148 & 1 & 0.431582 & 0.568418 \tabularnewline
149 & 1 & 0.566399 & 0.433601 \tabularnewline
150 & 1 & 0.837221 & 0.162779 \tabularnewline
151 & 1 & 0.925588 & 0.0744118 \tabularnewline
152 & 1 & 0.443043 & 0.556957 \tabularnewline
153 & 1 & 0.722457 & 0.277543 \tabularnewline
154 & 1 & 0.849374 & 0.150626 \tabularnewline
155 & 1 & 1.17528 & -0.175278 \tabularnewline
156 & 0 & 0.302982 & -0.302982 \tabularnewline
157 & 0 & -0.23335 & 0.23335 \tabularnewline
158 & 1 & 0.451824 & 0.548176 \tabularnewline
159 & 1 & 1.4522 & -0.452203 \tabularnewline
160 & 0 & 0.257673 & -0.257673 \tabularnewline
161 & 0 & 0.432223 & -0.432223 \tabularnewline
162 & 0 & 0.259552 & -0.259552 \tabularnewline
163 & 0 & -0.165943 & 0.165943 \tabularnewline
164 & 1 & -0.308076 & 1.30808 \tabularnewline
165 & 1 & 1.71742 & -0.717416 \tabularnewline
166 & 0 & 0.0856604 & -0.0856604 \tabularnewline
167 & 0 & 0.47045 & -0.47045 \tabularnewline
168 & 0 & 0.374644 & -0.374644 \tabularnewline
169 & 0 & 0.381023 & -0.381023 \tabularnewline
170 & 0 & 0.274425 & -0.274425 \tabularnewline
171 & 0 & 0.3573 & -0.3573 \tabularnewline
172 & 0 & 0.437097 & -0.437097 \tabularnewline
173 & 0 & 0.662768 & -0.662768 \tabularnewline
174 & 0 & -0.170115 & 0.170115 \tabularnewline
175 & 1 & 0.829885 & 0.170115 \tabularnewline
176 & 1 & 1.39997 & -0.399967 \tabularnewline
177 & 0 & -0.487403 & 0.487403 \tabularnewline
178 & 1 & 0.722252 & 0.277748 \tabularnewline
179 & 1 & 1.689 & -0.689005 \tabularnewline
180 & 0 & -0.878953 & 0.878953 \tabularnewline
181 & 1 & 1.3057 & -0.305703 \tabularnewline
182 & 0 & 0.536824 & -0.536824 \tabularnewline
183 & 0 & -0.311396 & 0.311396 \tabularnewline
184 & 1 & 1.3894 & -0.389401 \tabularnewline
185 & 0 & 0.737189 & -0.737189 \tabularnewline
186 & 0 & 0.426001 & -0.426001 \tabularnewline
187 & 0 & 0.418997 & -0.418997 \tabularnewline
188 & 0 & 0.498738 & -0.498738 \tabularnewline
189 & 0 & 0.544612 & -0.544612 \tabularnewline
190 & 0 & 0.137724 & -0.137724 \tabularnewline
191 & 0 & 0.168406 & -0.168406 \tabularnewline
192 & 0 & 0.390102 & -0.390102 \tabularnewline
193 & 0 & 0.223053 & -0.223053 \tabularnewline
194 & 0 & 0.391865 & -0.391865 \tabularnewline
195 & 0 & 0.214043 & -0.214043 \tabularnewline
196 & 0 & 0.193922 & -0.193922 \tabularnewline
197 & 0 & -0.278716 & 0.278716 \tabularnewline
198 & 1 & 1.27756 & -0.277557 \tabularnewline
199 & 0 & 0.223754 & -0.223754 \tabularnewline
200 & 0 & 0.413357 & -0.413357 \tabularnewline
201 & 0 & 0.149541 & -0.149541 \tabularnewline
202 & 1 & 1.15323 & -0.153226 \tabularnewline
203 & 0 & -0.330373 & 0.330373 \tabularnewline
204 & 1 & 1.49199 & -0.491993 \tabularnewline
205 & 0 & -0.430795 & 0.430795 \tabularnewline
206 & 1 & 1.13579 & -0.135788 \tabularnewline
207 & 0 & -0.94542 & 0.94542 \tabularnewline
208 & 1 & 1.08446 & -0.0844582 \tabularnewline
209 & 0 & 0.458548 & -0.458548 \tabularnewline
210 & 0 & 0.336922 & -0.336922 \tabularnewline
211 & 0 & 0.031082 & -0.031082 \tabularnewline
212 & 0 & -0.250905 & 0.250905 \tabularnewline
213 & 1 & 0.438059 & 0.561941 \tabularnewline
214 & 1 & 1.2488 & -0.248803 \tabularnewline
215 & 0 & -0.287596 & 0.287596 \tabularnewline
216 & 1 & 0.416667 & 0.583333 \tabularnewline
217 & 1 & 1.32135 & -0.321349 \tabularnewline
218 & 0 & -0.134443 & 0.134443 \tabularnewline
219 & 1 & 1.13458 & -0.134582 \tabularnewline
220 & 0 & 0.448709 & -0.448709 \tabularnewline
221 & 0 & -0.370039 & 0.370039 \tabularnewline
222 & 1 & 1.09969 & -0.0996866 \tabularnewline
223 & 0 & -0.500611 & 0.500611 \tabularnewline
224 & 1 & 0.577804 & 0.422196 \tabularnewline
225 & 1 & 0.757994 & 0.242006 \tabularnewline
226 & 1 & 1.07847 & -0.0784723 \tabularnewline
227 & 0 & -0.392466 & 0.392466 \tabularnewline
228 & 1 & 1.27743 & -0.277425 \tabularnewline
229 & 0 & -0.546502 & 0.546502 \tabularnewline
230 & 1 & 0.654911 & 0.345089 \tabularnewline
231 & 1 & 0.78878 & 0.21122 \tabularnewline
232 & 1 & 0.567283 & 0.432717 \tabularnewline
233 & 1 & 1.32659 & -0.326585 \tabularnewline
234 & 0 & -0.112631 & 0.112631 \tabularnewline
235 & 1 & 0.39435 & 0.60565 \tabularnewline
236 & 1 & 0.195211 & 0.804789 \tabularnewline
237 & 1 & 1.07437 & -0.0743651 \tabularnewline
238 & 0 & -0.308969 & 0.308969 \tabularnewline
239 & 1 & 0.148072 & 0.851928 \tabularnewline
240 & 1 & 1.30814 & -0.308139 \tabularnewline
241 & 0 & -0.547826 & 0.547826 \tabularnewline
242 & 1 & 1.15923 & -0.159234 \tabularnewline
243 & 0 & 0.391041 & -0.391041 \tabularnewline
244 & 0 & 0.717416 & -0.717416 \tabularnewline
245 & 0 & 0.337388 & -0.337388 \tabularnewline
246 & 0 & 0.464205 & -0.464205 \tabularnewline
247 & 0 & -0.249814 & 0.249814 \tabularnewline
248 & 1 & 0.531599 & 0.468401 \tabularnewline
249 & 1 & 0.526787 & 0.473213 \tabularnewline
250 & 1 & 0.625785 & 0.374215 \tabularnewline
251 & 1 & 0.733882 & 0.266118 \tabularnewline
252 & 1 & 0.294034 & 0.705966 \tabularnewline
253 & 1 & 1.32321 & -0.323205 \tabularnewline
254 & 0 & 0.219727 & -0.219727 \tabularnewline
255 & 0 & -0.13899 & 0.13899 \tabularnewline
256 & 1 & 1.40706 & -0.407061 \tabularnewline
257 & 0 & 0.21915 & -0.21915 \tabularnewline
258 & 0 & -0.56024 & 0.56024 \tabularnewline
259 & 1 & 1.41291 & -0.412908 \tabularnewline
260 & 0 & 0.487303 & -0.487303 \tabularnewline
261 & 0 & 0.0856604 & -0.0856604 \tabularnewline
262 & 0 & 0.336283 & -0.336283 \tabularnewline
263 & 0 & 0.401817 & -0.401817 \tabularnewline
264 & 0 & 0.391041 & -0.391041 \tabularnewline
265 & 0 & 0.326863 & -0.326863 \tabularnewline
266 & 0 & 0.146472 & -0.146472 \tabularnewline
267 & 0 & 0.233337 & -0.233337 \tabularnewline
268 & 0 & 0.410059 & -0.410059 \tabularnewline
269 & 0 & 0.476803 & -0.476803 \tabularnewline
270 & 0 & 0.13676 & -0.13676 \tabularnewline
271 & 0 & 0.520142 & -0.520142 \tabularnewline
272 & 0 & 0.237806 & -0.237806 \tabularnewline
273 & 0 & 0.257359 & -0.257359 \tabularnewline
274 & 0 & 0.379102 & -0.379102 \tabularnewline
275 & 0 & 0.399858 & -0.399858 \tabularnewline
276 & 0 & -0.487696 & 0.487696 \tabularnewline
277 & 1 & 1.47938 & -0.479376 \tabularnewline
278 & 0 & 0.0106303 & -0.0106303 \tabularnewline
279 & 0 & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=264797&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]0.730234[/C][C]0.269766[/C][/ROW]
[ROW][C]2[/C][C]1[/C][C]0.684461[/C][C]0.315539[/C][/ROW]
[ROW][C]3[/C][C]1[/C][C]0.744043[/C][C]0.255957[/C][/ROW]
[ROW][C]4[/C][C]1[/C][C]0.863774[/C][C]0.136226[/C][/ROW]
[ROW][C]5[/C][C]1[/C][C]0.685147[/C][C]0.314853[/C][/ROW]
[ROW][C]6[/C][C]1[/C][C]1.25456[/C][C]-0.254563[/C][/ROW]
[ROW][C]7[/C][C]1[/C][C]0.772672[/C][C]0.227328[/C][/ROW]
[ROW][C]8[/C][C]1[/C][C]0.412709[/C][C]0.587291[/C][/ROW]
[ROW][C]9[/C][C]1[/C][C]0.811745[/C][C]0.188255[/C][/ROW]
[ROW][C]10[/C][C]1[/C][C]0.924499[/C][C]0.0755008[/C][/ROW]
[ROW][C]11[/C][C]1[/C][C]0.875538[/C][C]0.124462[/C][/ROW]
[ROW][C]12[/C][C]1[/C][C]0.877105[/C][C]0.122895[/C][/ROW]
[ROW][C]13[/C][C]1[/C][C]0.573047[/C][C]0.426953[/C][/ROW]
[ROW][C]14[/C][C]1[/C][C]0.916559[/C][C]0.0834414[/C][/ROW]
[ROW][C]15[/C][C]1[/C][C]0.186054[/C][C]0.813946[/C][/ROW]
[ROW][C]16[/C][C]0[/C][C]0.368444[/C][C]-0.368444[/C][/ROW]
[ROW][C]17[/C][C]1[/C][C]0.836057[/C][C]0.163943[/C][/ROW]
[ROW][C]18[/C][C]1[/C][C]0.609154[/C][C]0.390846[/C][/ROW]
[ROW][C]19[/C][C]0[/C][C]0.709037[/C][C]-0.709037[/C][/ROW]
[ROW][C]20[/C][C]1[/C][C]0.578076[/C][C]0.421924[/C][/ROW]
[ROW][C]21[/C][C]1[/C][C]0.865259[/C][C]0.134741[/C][/ROW]
[ROW][C]22[/C][C]1[/C][C]0.735769[/C][C]0.264231[/C][/ROW]
[ROW][C]23[/C][C]1[/C][C]1.26325[/C][C]-0.263249[/C][/ROW]
[ROW][C]24[/C][C]1[/C][C]0.982514[/C][C]0.0174864[/C][/ROW]
[ROW][C]25[/C][C]1[/C][C]0.749929[/C][C]0.250071[/C][/ROW]
[ROW][C]26[/C][C]1[/C][C]1.37527[/C][C]-0.375266[/C][/ROW]
[ROW][C]27[/C][C]0[/C][C]0.672352[/C][C]-0.672352[/C][/ROW]
[ROW][C]28[/C][C]0[/C][C]0.339749[/C][C]-0.339749[/C][/ROW]
[ROW][C]29[/C][C]1[/C][C]0.775754[/C][C]0.224246[/C][/ROW]
[ROW][C]30[/C][C]1[/C][C]0.777306[/C][C]0.222694[/C][/ROW]
[ROW][C]31[/C][C]1[/C][C]0.399907[/C][C]0.600093[/C][/ROW]
[ROW][C]32[/C][C]1[/C][C]0.809247[/C][C]0.190753[/C][/ROW]
[ROW][C]33[/C][C]1[/C][C]0.681762[/C][C]0.318238[/C][/ROW]
[ROW][C]34[/C][C]1[/C][C]0.868128[/C][C]0.131872[/C][/ROW]
[ROW][C]35[/C][C]1[/C][C]0.458399[/C][C]0.541601[/C][/ROW]
[ROW][C]36[/C][C]1[/C][C]0.417239[/C][C]0.582761[/C][/ROW]
[ROW][C]37[/C][C]1[/C][C]0.760365[/C][C]0.239635[/C][/ROW]
[ROW][C]38[/C][C]0[/C][C]0.629579[/C][C]-0.629579[/C][/ROW]
[ROW][C]39[/C][C]1[/C][C]0.903445[/C][C]0.0965553[/C][/ROW]
[ROW][C]40[/C][C]1[/C][C]0.80492[/C][C]0.19508[/C][/ROW]
[ROW][C]41[/C][C]1[/C][C]0.572849[/C][C]0.427151[/C][/ROW]
[ROW][C]42[/C][C]1[/C][C]0.736765[/C][C]0.263235[/C][/ROW]
[ROW][C]43[/C][C]1[/C][C]0.823061[/C][C]0.176939[/C][/ROW]
[ROW][C]44[/C][C]1[/C][C]0.868876[/C][C]0.131124[/C][/ROW]
[ROW][C]45[/C][C]0[/C][C]0.118323[/C][C]-0.118323[/C][/ROW]
[ROW][C]46[/C][C]1[/C][C]1.0312[/C][C]-0.0311985[/C][/ROW]
[ROW][C]47[/C][C]1[/C][C]0.469868[/C][C]0.530132[/C][/ROW]
[ROW][C]48[/C][C]0[/C][C]0.398724[/C][C]-0.398724[/C][/ROW]
[ROW][C]49[/C][C]1[/C][C]0.433695[/C][C]0.566305[/C][/ROW]
[ROW][C]50[/C][C]0[/C][C]0.306226[/C][C]-0.306226[/C][/ROW]
[ROW][C]51[/C][C]0[/C][C]0.533969[/C][C]-0.533969[/C][/ROW]
[ROW][C]52[/C][C]0[/C][C]0.0869218[/C][C]-0.0869218[/C][/ROW]
[ROW][C]53[/C][C]1[/C][C]0.764481[/C][C]0.235519[/C][/ROW]
[ROW][C]54[/C][C]0[/C][C]0.810975[/C][C]-0.810975[/C][/ROW]
[ROW][C]55[/C][C]1[/C][C]0.562153[/C][C]0.437847[/C][/ROW]
[ROW][C]56[/C][C]1[/C][C]0.561425[/C][C]0.438575[/C][/ROW]
[ROW][C]57[/C][C]0[/C][C]0.695793[/C][C]-0.695793[/C][/ROW]
[ROW][C]58[/C][C]1[/C][C]0.635945[/C][C]0.364055[/C][/ROW]
[ROW][C]59[/C][C]0[/C][C]0.106663[/C][C]-0.106663[/C][/ROW]
[ROW][C]60[/C][C]0[/C][C]0.372902[/C][C]-0.372902[/C][/ROW]
[ROW][C]61[/C][C]1[/C][C]0.87864[/C][C]0.12136[/C][/ROW]
[ROW][C]62[/C][C]1[/C][C]0.849831[/C][C]0.150169[/C][/ROW]
[ROW][C]63[/C][C]1[/C][C]0.454359[/C][C]0.545641[/C][/ROW]
[ROW][C]64[/C][C]1[/C][C]1.06171[/C][C]-0.0617099[/C][/ROW]
[ROW][C]65[/C][C]1[/C][C]1.05231[/C][C]-0.052313[/C][/ROW]
[ROW][C]66[/C][C]0[/C][C]0.228095[/C][C]-0.228095[/C][/ROW]
[ROW][C]67[/C][C]1[/C][C]0.980221[/C][C]0.0197787[/C][/ROW]
[ROW][C]68[/C][C]1[/C][C]1.15795[/C][C]-0.157951[/C][/ROW]
[ROW][C]69[/C][C]1[/C][C]0.983909[/C][C]0.0160907[/C][/ROW]
[ROW][C]70[/C][C]0[/C][C]0.431715[/C][C]-0.431715[/C][/ROW]
[ROW][C]71[/C][C]1[/C][C]0.935174[/C][C]0.0648259[/C][/ROW]
[ROW][C]72[/C][C]1[/C][C]0.611812[/C][C]0.388188[/C][/ROW]
[ROW][C]73[/C][C]0[/C][C]0.28878[/C][C]-0.28878[/C][/ROW]
[ROW][C]74[/C][C]0[/C][C]0.360417[/C][C]-0.360417[/C][/ROW]
[ROW][C]75[/C][C]1[/C][C]0.665182[/C][C]0.334818[/C][/ROW]
[ROW][C]76[/C][C]1[/C][C]0.825666[/C][C]0.174334[/C][/ROW]
[ROW][C]77[/C][C]1[/C][C]1.47838[/C][C]-0.478381[/C][/ROW]
[ROW][C]78[/C][C]0[/C][C]-0.205417[/C][C]0.205417[/C][/ROW]
[ROW][C]79[/C][C]1[/C][C]1.24577[/C][C]-0.245772[/C][/ROW]
[ROW][C]80[/C][C]0[/C][C]-0.47217[/C][C]0.47217[/C][/ROW]
[ROW][C]81[/C][C]1[/C][C]1.41095[/C][C]-0.410954[/C][/ROW]
[ROW][C]82[/C][C]0[/C][C]0.503488[/C][C]-0.503488[/C][/ROW]
[ROW][C]83[/C][C]0[/C][C]0.327697[/C][C]-0.327697[/C][/ROW]
[ROW][C]84[/C][C]0[/C][C]0.501007[/C][C]-0.501007[/C][/ROW]
[ROW][C]85[/C][C]0[/C][C]0.591321[/C][C]-0.591321[/C][/ROW]
[ROW][C]86[/C][C]0[/C][C]0.442618[/C][C]-0.442618[/C][/ROW]
[ROW][C]87[/C][C]0[/C][C]0.292601[/C][C]-0.292601[/C][/ROW]
[ROW][C]88[/C][C]0[/C][C]0.256778[/C][C]-0.256778[/C][/ROW]
[ROW][C]89[/C][C]0[/C][C]0.406353[/C][C]-0.406353[/C][/ROW]
[ROW][C]90[/C][C]0[/C][C]0.614585[/C][C]-0.614585[/C][/ROW]
[ROW][C]91[/C][C]0[/C][C]0.22074[/C][C]-0.22074[/C][/ROW]
[ROW][C]92[/C][C]0[/C][C]0.595072[/C][C]-0.595072[/C][/ROW]
[ROW][C]93[/C][C]0[/C][C]0.702221[/C][C]-0.702221[/C][/ROW]
[ROW][C]94[/C][C]0[/C][C]0.428901[/C][C]-0.428901[/C][/ROW]
[ROW][C]95[/C][C]0[/C][C]0.46575[/C][C]-0.46575[/C][/ROW]
[ROW][C]96[/C][C]0[/C][C]0.614547[/C][C]-0.614547[/C][/ROW]
[ROW][C]97[/C][C]0[/C][C]0.669454[/C][C]-0.669454[/C][/ROW]
[ROW][C]98[/C][C]0[/C][C]0.426437[/C][C]-0.426437[/C][/ROW]
[ROW][C]99[/C][C]0[/C][C]0.373591[/C][C]-0.373591[/C][/ROW]
[ROW][C]100[/C][C]0[/C][C]0.535133[/C][C]-0.535133[/C][/ROW]
[ROW][C]101[/C][C]0[/C][C]0.233746[/C][C]-0.233746[/C][/ROW]
[ROW][C]102[/C][C]0[/C][C]0.45057[/C][C]-0.45057[/C][/ROW]
[ROW][C]103[/C][C]0[/C][C]0.363968[/C][C]-0.363968[/C][/ROW]
[ROW][C]104[/C][C]0[/C][C]0.648776[/C][C]-0.648776[/C][/ROW]
[ROW][C]105[/C][C]0[/C][C]0.358373[/C][C]-0.358373[/C][/ROW]
[ROW][C]106[/C][C]0[/C][C]0.46684[/C][C]-0.46684[/C][/ROW]
[ROW][C]107[/C][C]0[/C][C]0.366469[/C][C]-0.366469[/C][/ROW]
[ROW][C]108[/C][C]0[/C][C]0.448192[/C][C]-0.448192[/C][/ROW]
[ROW][C]109[/C][C]0[/C][C]0.168695[/C][C]-0.168695[/C][/ROW]
[ROW][C]110[/C][C]0[/C][C]0.418064[/C][C]-0.418064[/C][/ROW]
[ROW][C]111[/C][C]0[/C][C]0.554979[/C][C]-0.554979[/C][/ROW]
[ROW][C]112[/C][C]0[/C][C]0.424334[/C][C]-0.424334[/C][/ROW]
[ROW][C]113[/C][C]0[/C][C]-0.830994[/C][C]0.830994[/C][/ROW]
[ROW][C]114[/C][C]1[/C][C]0.0488066[/C][C]0.951193[/C][/ROW]
[ROW][C]115[/C][C]1[/C][C]0.678004[/C][C]0.321996[/C][/ROW]
[ROW][C]116[/C][C]1[/C][C]0.721437[/C][C]0.278563[/C][/ROW]
[ROW][C]117[/C][C]1[/C][C]1.36243[/C][C]-0.36243[/C][/ROW]
[ROW][C]118[/C][C]0[/C][C]0.193966[/C][C]-0.193966[/C][/ROW]
[ROW][C]119[/C][C]0[/C][C]-0.0187979[/C][C]0.0187979[/C][/ROW]
[ROW][C]120[/C][C]1[/C][C]0.701635[/C][C]0.298365[/C][/ROW]
[ROW][C]121[/C][C]1[/C][C]0.704021[/C][C]0.295979[/C][/ROW]
[ROW][C]122[/C][C]1[/C][C]0.183947[/C][C]0.816053[/C][/ROW]
[ROW][C]123[/C][C]1[/C][C]0.634222[/C][C]0.365778[/C][/ROW]
[ROW][C]124[/C][C]1[/C][C]-0.0280867[/C][C]1.02809[/C][/ROW]
[ROW][C]125[/C][C]1[/C][C]0.423692[/C][C]0.576308[/C][/ROW]
[ROW][C]126[/C][C]1[/C][C]0.480757[/C][C]0.519243[/C][/ROW]
[ROW][C]127[/C][C]1[/C][C]0.63209[/C][C]0.36791[/C][/ROW]
[ROW][C]128[/C][C]1[/C][C]0.375962[/C][C]0.624038[/C][/ROW]
[ROW][C]129[/C][C]1[/C][C]1.52704[/C][C]-0.527043[/C][/ROW]
[ROW][C]130[/C][C]0[/C][C]-0.592042[/C][C]0.592042[/C][/ROW]
[ROW][C]131[/C][C]1[/C][C]0.494438[/C][C]0.505562[/C][/ROW]
[ROW][C]132[/C][C]1[/C][C]0.791272[/C][C]0.208728[/C][/ROW]
[ROW][C]133[/C][C]1[/C][C]0.467433[/C][C]0.532567[/C][/ROW]
[ROW][C]134[/C][C]1[/C][C]0.4238[/C][C]0.5762[/C][/ROW]
[ROW][C]135[/C][C]1[/C][C]0.24484[/C][C]0.75516[/C][/ROW]
[ROW][C]136[/C][C]1[/C][C]0.260993[/C][C]0.739007[/C][/ROW]
[ROW][C]137[/C][C]1[/C][C]0.49135[/C][C]0.50865[/C][/ROW]
[ROW][C]138[/C][C]1[/C][C]0.00455755[/C][C]0.995442[/C][/ROW]
[ROW][C]139[/C][C]1[/C][C]0.663597[/C][C]0.336403[/C][/ROW]
[ROW][C]140[/C][C]1[/C][C]0.456411[/C][C]0.543589[/C][/ROW]
[ROW][C]141[/C][C]1[/C][C]1.21883[/C][C]-0.218826[/C][/ROW]
[ROW][C]142[/C][C]0[/C][C]-0.189879[/C][C]0.189879[/C][/ROW]
[ROW][C]143[/C][C]1[/C][C]0.701313[/C][C]0.298687[/C][/ROW]
[ROW][C]144[/C][C]1[/C][C]0.519045[/C][C]0.480955[/C][/ROW]
[ROW][C]145[/C][C]1[/C][C]0.684289[/C][C]0.315711[/C][/ROW]
[ROW][C]146[/C][C]1[/C][C]0.640204[/C][C]0.359796[/C][/ROW]
[ROW][C]147[/C][C]1[/C][C]0.510787[/C][C]0.489213[/C][/ROW]
[ROW][C]148[/C][C]1[/C][C]0.431582[/C][C]0.568418[/C][/ROW]
[ROW][C]149[/C][C]1[/C][C]0.566399[/C][C]0.433601[/C][/ROW]
[ROW][C]150[/C][C]1[/C][C]0.837221[/C][C]0.162779[/C][/ROW]
[ROW][C]151[/C][C]1[/C][C]0.925588[/C][C]0.0744118[/C][/ROW]
[ROW][C]152[/C][C]1[/C][C]0.443043[/C][C]0.556957[/C][/ROW]
[ROW][C]153[/C][C]1[/C][C]0.722457[/C][C]0.277543[/C][/ROW]
[ROW][C]154[/C][C]1[/C][C]0.849374[/C][C]0.150626[/C][/ROW]
[ROW][C]155[/C][C]1[/C][C]1.17528[/C][C]-0.175278[/C][/ROW]
[ROW][C]156[/C][C]0[/C][C]0.302982[/C][C]-0.302982[/C][/ROW]
[ROW][C]157[/C][C]0[/C][C]-0.23335[/C][C]0.23335[/C][/ROW]
[ROW][C]158[/C][C]1[/C][C]0.451824[/C][C]0.548176[/C][/ROW]
[ROW][C]159[/C][C]1[/C][C]1.4522[/C][C]-0.452203[/C][/ROW]
[ROW][C]160[/C][C]0[/C][C]0.257673[/C][C]-0.257673[/C][/ROW]
[ROW][C]161[/C][C]0[/C][C]0.432223[/C][C]-0.432223[/C][/ROW]
[ROW][C]162[/C][C]0[/C][C]0.259552[/C][C]-0.259552[/C][/ROW]
[ROW][C]163[/C][C]0[/C][C]-0.165943[/C][C]0.165943[/C][/ROW]
[ROW][C]164[/C][C]1[/C][C]-0.308076[/C][C]1.30808[/C][/ROW]
[ROW][C]165[/C][C]1[/C][C]1.71742[/C][C]-0.717416[/C][/ROW]
[ROW][C]166[/C][C]0[/C][C]0.0856604[/C][C]-0.0856604[/C][/ROW]
[ROW][C]167[/C][C]0[/C][C]0.47045[/C][C]-0.47045[/C][/ROW]
[ROW][C]168[/C][C]0[/C][C]0.374644[/C][C]-0.374644[/C][/ROW]
[ROW][C]169[/C][C]0[/C][C]0.381023[/C][C]-0.381023[/C][/ROW]
[ROW][C]170[/C][C]0[/C][C]0.274425[/C][C]-0.274425[/C][/ROW]
[ROW][C]171[/C][C]0[/C][C]0.3573[/C][C]-0.3573[/C][/ROW]
[ROW][C]172[/C][C]0[/C][C]0.437097[/C][C]-0.437097[/C][/ROW]
[ROW][C]173[/C][C]0[/C][C]0.662768[/C][C]-0.662768[/C][/ROW]
[ROW][C]174[/C][C]0[/C][C]-0.170115[/C][C]0.170115[/C][/ROW]
[ROW][C]175[/C][C]1[/C][C]0.829885[/C][C]0.170115[/C][/ROW]
[ROW][C]176[/C][C]1[/C][C]1.39997[/C][C]-0.399967[/C][/ROW]
[ROW][C]177[/C][C]0[/C][C]-0.487403[/C][C]0.487403[/C][/ROW]
[ROW][C]178[/C][C]1[/C][C]0.722252[/C][C]0.277748[/C][/ROW]
[ROW][C]179[/C][C]1[/C][C]1.689[/C][C]-0.689005[/C][/ROW]
[ROW][C]180[/C][C]0[/C][C]-0.878953[/C][C]0.878953[/C][/ROW]
[ROW][C]181[/C][C]1[/C][C]1.3057[/C][C]-0.305703[/C][/ROW]
[ROW][C]182[/C][C]0[/C][C]0.536824[/C][C]-0.536824[/C][/ROW]
[ROW][C]183[/C][C]0[/C][C]-0.311396[/C][C]0.311396[/C][/ROW]
[ROW][C]184[/C][C]1[/C][C]1.3894[/C][C]-0.389401[/C][/ROW]
[ROW][C]185[/C][C]0[/C][C]0.737189[/C][C]-0.737189[/C][/ROW]
[ROW][C]186[/C][C]0[/C][C]0.426001[/C][C]-0.426001[/C][/ROW]
[ROW][C]187[/C][C]0[/C][C]0.418997[/C][C]-0.418997[/C][/ROW]
[ROW][C]188[/C][C]0[/C][C]0.498738[/C][C]-0.498738[/C][/ROW]
[ROW][C]189[/C][C]0[/C][C]0.544612[/C][C]-0.544612[/C][/ROW]
[ROW][C]190[/C][C]0[/C][C]0.137724[/C][C]-0.137724[/C][/ROW]
[ROW][C]191[/C][C]0[/C][C]0.168406[/C][C]-0.168406[/C][/ROW]
[ROW][C]192[/C][C]0[/C][C]0.390102[/C][C]-0.390102[/C][/ROW]
[ROW][C]193[/C][C]0[/C][C]0.223053[/C][C]-0.223053[/C][/ROW]
[ROW][C]194[/C][C]0[/C][C]0.391865[/C][C]-0.391865[/C][/ROW]
[ROW][C]195[/C][C]0[/C][C]0.214043[/C][C]-0.214043[/C][/ROW]
[ROW][C]196[/C][C]0[/C][C]0.193922[/C][C]-0.193922[/C][/ROW]
[ROW][C]197[/C][C]0[/C][C]-0.278716[/C][C]0.278716[/C][/ROW]
[ROW][C]198[/C][C]1[/C][C]1.27756[/C][C]-0.277557[/C][/ROW]
[ROW][C]199[/C][C]0[/C][C]0.223754[/C][C]-0.223754[/C][/ROW]
[ROW][C]200[/C][C]0[/C][C]0.413357[/C][C]-0.413357[/C][/ROW]
[ROW][C]201[/C][C]0[/C][C]0.149541[/C][C]-0.149541[/C][/ROW]
[ROW][C]202[/C][C]1[/C][C]1.15323[/C][C]-0.153226[/C][/ROW]
[ROW][C]203[/C][C]0[/C][C]-0.330373[/C][C]0.330373[/C][/ROW]
[ROW][C]204[/C][C]1[/C][C]1.49199[/C][C]-0.491993[/C][/ROW]
[ROW][C]205[/C][C]0[/C][C]-0.430795[/C][C]0.430795[/C][/ROW]
[ROW][C]206[/C][C]1[/C][C]1.13579[/C][C]-0.135788[/C][/ROW]
[ROW][C]207[/C][C]0[/C][C]-0.94542[/C][C]0.94542[/C][/ROW]
[ROW][C]208[/C][C]1[/C][C]1.08446[/C][C]-0.0844582[/C][/ROW]
[ROW][C]209[/C][C]0[/C][C]0.458548[/C][C]-0.458548[/C][/ROW]
[ROW][C]210[/C][C]0[/C][C]0.336922[/C][C]-0.336922[/C][/ROW]
[ROW][C]211[/C][C]0[/C][C]0.031082[/C][C]-0.031082[/C][/ROW]
[ROW][C]212[/C][C]0[/C][C]-0.250905[/C][C]0.250905[/C][/ROW]
[ROW][C]213[/C][C]1[/C][C]0.438059[/C][C]0.561941[/C][/ROW]
[ROW][C]214[/C][C]1[/C][C]1.2488[/C][C]-0.248803[/C][/ROW]
[ROW][C]215[/C][C]0[/C][C]-0.287596[/C][C]0.287596[/C][/ROW]
[ROW][C]216[/C][C]1[/C][C]0.416667[/C][C]0.583333[/C][/ROW]
[ROW][C]217[/C][C]1[/C][C]1.32135[/C][C]-0.321349[/C][/ROW]
[ROW][C]218[/C][C]0[/C][C]-0.134443[/C][C]0.134443[/C][/ROW]
[ROW][C]219[/C][C]1[/C][C]1.13458[/C][C]-0.134582[/C][/ROW]
[ROW][C]220[/C][C]0[/C][C]0.448709[/C][C]-0.448709[/C][/ROW]
[ROW][C]221[/C][C]0[/C][C]-0.370039[/C][C]0.370039[/C][/ROW]
[ROW][C]222[/C][C]1[/C][C]1.09969[/C][C]-0.0996866[/C][/ROW]
[ROW][C]223[/C][C]0[/C][C]-0.500611[/C][C]0.500611[/C][/ROW]
[ROW][C]224[/C][C]1[/C][C]0.577804[/C][C]0.422196[/C][/ROW]
[ROW][C]225[/C][C]1[/C][C]0.757994[/C][C]0.242006[/C][/ROW]
[ROW][C]226[/C][C]1[/C][C]1.07847[/C][C]-0.0784723[/C][/ROW]
[ROW][C]227[/C][C]0[/C][C]-0.392466[/C][C]0.392466[/C][/ROW]
[ROW][C]228[/C][C]1[/C][C]1.27743[/C][C]-0.277425[/C][/ROW]
[ROW][C]229[/C][C]0[/C][C]-0.546502[/C][C]0.546502[/C][/ROW]
[ROW][C]230[/C][C]1[/C][C]0.654911[/C][C]0.345089[/C][/ROW]
[ROW][C]231[/C][C]1[/C][C]0.78878[/C][C]0.21122[/C][/ROW]
[ROW][C]232[/C][C]1[/C][C]0.567283[/C][C]0.432717[/C][/ROW]
[ROW][C]233[/C][C]1[/C][C]1.32659[/C][C]-0.326585[/C][/ROW]
[ROW][C]234[/C][C]0[/C][C]-0.112631[/C][C]0.112631[/C][/ROW]
[ROW][C]235[/C][C]1[/C][C]0.39435[/C][C]0.60565[/C][/ROW]
[ROW][C]236[/C][C]1[/C][C]0.195211[/C][C]0.804789[/C][/ROW]
[ROW][C]237[/C][C]1[/C][C]1.07437[/C][C]-0.0743651[/C][/ROW]
[ROW][C]238[/C][C]0[/C][C]-0.308969[/C][C]0.308969[/C][/ROW]
[ROW][C]239[/C][C]1[/C][C]0.148072[/C][C]0.851928[/C][/ROW]
[ROW][C]240[/C][C]1[/C][C]1.30814[/C][C]-0.308139[/C][/ROW]
[ROW][C]241[/C][C]0[/C][C]-0.547826[/C][C]0.547826[/C][/ROW]
[ROW][C]242[/C][C]1[/C][C]1.15923[/C][C]-0.159234[/C][/ROW]
[ROW][C]243[/C][C]0[/C][C]0.391041[/C][C]-0.391041[/C][/ROW]
[ROW][C]244[/C][C]0[/C][C]0.717416[/C][C]-0.717416[/C][/ROW]
[ROW][C]245[/C][C]0[/C][C]0.337388[/C][C]-0.337388[/C][/ROW]
[ROW][C]246[/C][C]0[/C][C]0.464205[/C][C]-0.464205[/C][/ROW]
[ROW][C]247[/C][C]0[/C][C]-0.249814[/C][C]0.249814[/C][/ROW]
[ROW][C]248[/C][C]1[/C][C]0.531599[/C][C]0.468401[/C][/ROW]
[ROW][C]249[/C][C]1[/C][C]0.526787[/C][C]0.473213[/C][/ROW]
[ROW][C]250[/C][C]1[/C][C]0.625785[/C][C]0.374215[/C][/ROW]
[ROW][C]251[/C][C]1[/C][C]0.733882[/C][C]0.266118[/C][/ROW]
[ROW][C]252[/C][C]1[/C][C]0.294034[/C][C]0.705966[/C][/ROW]
[ROW][C]253[/C][C]1[/C][C]1.32321[/C][C]-0.323205[/C][/ROW]
[ROW][C]254[/C][C]0[/C][C]0.219727[/C][C]-0.219727[/C][/ROW]
[ROW][C]255[/C][C]0[/C][C]-0.13899[/C][C]0.13899[/C][/ROW]
[ROW][C]256[/C][C]1[/C][C]1.40706[/C][C]-0.407061[/C][/ROW]
[ROW][C]257[/C][C]0[/C][C]0.21915[/C][C]-0.21915[/C][/ROW]
[ROW][C]258[/C][C]0[/C][C]-0.56024[/C][C]0.56024[/C][/ROW]
[ROW][C]259[/C][C]1[/C][C]1.41291[/C][C]-0.412908[/C][/ROW]
[ROW][C]260[/C][C]0[/C][C]0.487303[/C][C]-0.487303[/C][/ROW]
[ROW][C]261[/C][C]0[/C][C]0.0856604[/C][C]-0.0856604[/C][/ROW]
[ROW][C]262[/C][C]0[/C][C]0.336283[/C][C]-0.336283[/C][/ROW]
[ROW][C]263[/C][C]0[/C][C]0.401817[/C][C]-0.401817[/C][/ROW]
[ROW][C]264[/C][C]0[/C][C]0.391041[/C][C]-0.391041[/C][/ROW]
[ROW][C]265[/C][C]0[/C][C]0.326863[/C][C]-0.326863[/C][/ROW]
[ROW][C]266[/C][C]0[/C][C]0.146472[/C][C]-0.146472[/C][/ROW]
[ROW][C]267[/C][C]0[/C][C]0.233337[/C][C]-0.233337[/C][/ROW]
[ROW][C]268[/C][C]0[/C][C]0.410059[/C][C]-0.410059[/C][/ROW]
[ROW][C]269[/C][C]0[/C][C]0.476803[/C][C]-0.476803[/C][/ROW]
[ROW][C]270[/C][C]0[/C][C]0.13676[/C][C]-0.13676[/C][/ROW]
[ROW][C]271[/C][C]0[/C][C]0.520142[/C][C]-0.520142[/C][/ROW]
[ROW][C]272[/C][C]0[/C][C]0.237806[/C][C]-0.237806[/C][/ROW]
[ROW][C]273[/C][C]0[/C][C]0.257359[/C][C]-0.257359[/C][/ROW]
[ROW][C]274[/C][C]0[/C][C]0.379102[/C][C]-0.379102[/C][/ROW]
[ROW][C]275[/C][C]0[/C][C]0.399858[/C][C]-0.399858[/C][/ROW]
[ROW][C]276[/C][C]0[/C][C]-0.487696[/C][C]0.487696[/C][/ROW]
[ROW][C]277[/C][C]1[/C][C]1.47938[/C][C]-0.479376[/C][/ROW]
[ROW][C]278[/C][C]0[/C][C]0.0106303[/C][C]-0.0106303[/C][/ROW]
[ROW][C]279[/C][C]0[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=264797&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=264797&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
110.7302340.269766
210.6844610.315539
310.7440430.255957
410.8637740.136226
510.6851470.314853
611.25456-0.254563
710.7726720.227328
810.4127090.587291
910.8117450.188255
1010.9244990.0755008
1110.8755380.124462
1210.8771050.122895
1310.5730470.426953
1410.9165590.0834414
1510.1860540.813946
1600.368444-0.368444
1710.8360570.163943
1810.6091540.390846
1900.709037-0.709037
2010.5780760.421924
2110.8652590.134741
2210.7357690.264231
2311.26325-0.263249
2410.9825140.0174864
2510.7499290.250071
2611.37527-0.375266
2700.672352-0.672352
2800.339749-0.339749
2910.7757540.224246
3010.7773060.222694
3110.3999070.600093
3210.8092470.190753
3310.6817620.318238
3410.8681280.131872
3510.4583990.541601
3610.4172390.582761
3710.7603650.239635
3800.629579-0.629579
3910.9034450.0965553
4010.804920.19508
4110.5728490.427151
4210.7367650.263235
4310.8230610.176939
4410.8688760.131124
4500.118323-0.118323
4611.0312-0.0311985
4710.4698680.530132
4800.398724-0.398724
4910.4336950.566305
5000.306226-0.306226
5100.533969-0.533969
5200.0869218-0.0869218
5310.7644810.235519
5400.810975-0.810975
5510.5621530.437847
5610.5614250.438575
5700.695793-0.695793
5810.6359450.364055
5900.106663-0.106663
6000.372902-0.372902
6110.878640.12136
6210.8498310.150169
6310.4543590.545641
6411.06171-0.0617099
6511.05231-0.052313
6600.228095-0.228095
6710.9802210.0197787
6811.15795-0.157951
6910.9839090.0160907
7000.431715-0.431715
7110.9351740.0648259
7210.6118120.388188
7300.28878-0.28878
7400.360417-0.360417
7510.6651820.334818
7610.8256660.174334
7711.47838-0.478381
780-0.2054170.205417
7911.24577-0.245772
800-0.472170.47217
8111.41095-0.410954
8200.503488-0.503488
8300.327697-0.327697
8400.501007-0.501007
8500.591321-0.591321
8600.442618-0.442618
8700.292601-0.292601
8800.256778-0.256778
8900.406353-0.406353
9000.614585-0.614585
9100.22074-0.22074
9200.595072-0.595072
9300.702221-0.702221
9400.428901-0.428901
9500.46575-0.46575
9600.614547-0.614547
9700.669454-0.669454
9800.426437-0.426437
9900.373591-0.373591
10000.535133-0.535133
10100.233746-0.233746
10200.45057-0.45057
10300.363968-0.363968
10400.648776-0.648776
10500.358373-0.358373
10600.46684-0.46684
10700.366469-0.366469
10800.448192-0.448192
10900.168695-0.168695
11000.418064-0.418064
11100.554979-0.554979
11200.424334-0.424334
1130-0.8309940.830994
11410.04880660.951193
11510.6780040.321996
11610.7214370.278563
11711.36243-0.36243
11800.193966-0.193966
1190-0.01879790.0187979
12010.7016350.298365
12110.7040210.295979
12210.1839470.816053
12310.6342220.365778
1241-0.02808671.02809
12510.4236920.576308
12610.4807570.519243
12710.632090.36791
12810.3759620.624038
12911.52704-0.527043
1300-0.5920420.592042
13110.4944380.505562
13210.7912720.208728
13310.4674330.532567
13410.42380.5762
13510.244840.75516
13610.2609930.739007
13710.491350.50865
13810.004557550.995442
13910.6635970.336403
14010.4564110.543589
14111.21883-0.218826
1420-0.1898790.189879
14310.7013130.298687
14410.5190450.480955
14510.6842890.315711
14610.6402040.359796
14710.5107870.489213
14810.4315820.568418
14910.5663990.433601
15010.8372210.162779
15110.9255880.0744118
15210.4430430.556957
15310.7224570.277543
15410.8493740.150626
15511.17528-0.175278
15600.302982-0.302982
1570-0.233350.23335
15810.4518240.548176
15911.4522-0.452203
16000.257673-0.257673
16100.432223-0.432223
16200.259552-0.259552
1630-0.1659430.165943
1641-0.3080761.30808
16511.71742-0.717416
16600.0856604-0.0856604
16700.47045-0.47045
16800.374644-0.374644
16900.381023-0.381023
17000.274425-0.274425
17100.3573-0.3573
17200.437097-0.437097
17300.662768-0.662768
1740-0.1701150.170115
17510.8298850.170115
17611.39997-0.399967
1770-0.4874030.487403
17810.7222520.277748
17911.689-0.689005
1800-0.8789530.878953
18111.3057-0.305703
18200.536824-0.536824
1830-0.3113960.311396
18411.3894-0.389401
18500.737189-0.737189
18600.426001-0.426001
18700.418997-0.418997
18800.498738-0.498738
18900.544612-0.544612
19000.137724-0.137724
19100.168406-0.168406
19200.390102-0.390102
19300.223053-0.223053
19400.391865-0.391865
19500.214043-0.214043
19600.193922-0.193922
1970-0.2787160.278716
19811.27756-0.277557
19900.223754-0.223754
20000.413357-0.413357
20100.149541-0.149541
20211.15323-0.153226
2030-0.3303730.330373
20411.49199-0.491993
2050-0.4307950.430795
20611.13579-0.135788
2070-0.945420.94542
20811.08446-0.0844582
20900.458548-0.458548
21000.336922-0.336922
21100.031082-0.031082
2120-0.2509050.250905
21310.4380590.561941
21411.2488-0.248803
2150-0.2875960.287596
21610.4166670.583333
21711.32135-0.321349
2180-0.1344430.134443
21911.13458-0.134582
22000.448709-0.448709
2210-0.3700390.370039
22211.09969-0.0996866
2230-0.5006110.500611
22410.5778040.422196
22510.7579940.242006
22611.07847-0.0784723
2270-0.3924660.392466
22811.27743-0.277425
2290-0.5465020.546502
23010.6549110.345089
23110.788780.21122
23210.5672830.432717
23311.32659-0.326585
2340-0.1126310.112631
23510.394350.60565
23610.1952110.804789
23711.07437-0.0743651
2380-0.3089690.308969
23910.1480720.851928
24011.30814-0.308139
2410-0.5478260.547826
24211.15923-0.159234
24300.391041-0.391041
24400.717416-0.717416
24500.337388-0.337388
24600.464205-0.464205
2470-0.2498140.249814
24810.5315990.468401
24910.5267870.473213
25010.6257850.374215
25110.7338820.266118
25210.2940340.705966
25311.32321-0.323205
25400.219727-0.219727
2550-0.138990.13899
25611.40706-0.407061
25700.21915-0.21915
2580-0.560240.56024
25911.41291-0.412908
26000.487303-0.487303
26100.0856604-0.0856604
26200.336283-0.336283
26300.401817-0.401817
26400.391041-0.391041
26500.326863-0.326863
26600.146472-0.146472
26700.233337-0.233337
26800.410059-0.410059
26900.476803-0.476803
27000.13676-0.13676
27100.520142-0.520142
27200.237806-0.237806
27300.257359-0.257359
27400.379102-0.379102
27500.399858-0.399858
2760-0.4876960.487696
27711.47938-0.479376
27800.0106303-0.0106303
2790NANA






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
89.64586e-481.92917e-471
9001
10001
111.56247e-913.12494e-911
121.46183e-1042.92367e-1041
13001
14001
155.44529e-1521.08906e-1511
160.02448660.04897330.975513
170.01313140.02626280.986869
180.01005090.02010180.989949
190.1062850.212570.893715
200.07378460.1475690.926215
210.05063110.1012620.949369
220.03778320.07556630.962217
230.0247830.0495660.975217
240.01548770.03097540.984512
250.00978490.01956980.990215
260.01011730.02023470.989883
270.05081240.1016250.949188
280.08461950.1692390.915381
290.06334220.1266840.936658
300.0479440.09588810.952056
310.03791320.07582640.962087
320.028230.05645990.97177
330.02046970.04093930.97953
340.01415860.02831710.985841
350.0116750.02334990.988325
360.009480770.01896150.990519
370.006434090.01286820.993566
380.01924090.03848180.980759
390.0135580.02711590.986442
400.01003230.02006460.989968
410.007280530.01456110.992719
420.005538890.01107780.994461
430.004144220.008288440.995856
440.002848330.005696650.997152
450.003801730.007603450.996198
460.00254530.005090590.997455
470.002362580.004725170.997637
480.008625610.01725120.991374
490.009139240.01827850.990861
500.01049690.02099380.989503
510.01860940.03721880.981391
520.02214960.04429910.97785
530.01812260.03624520.981877
540.03690970.07381930.96309
550.03692290.07384590.963077
560.03522030.07044070.96478
570.08084790.1616960.919152
580.07529620.1505920.924704
590.06993340.1398670.930067
600.07658630.1531730.923414
610.06322410.1264480.936776
620.0559210.1118420.944079
630.05468120.1093620.945319
640.04364840.08729670.956352
650.03460050.06920110.965399
660.0333470.06669410.966653
670.02660160.05320320.973398
680.02298730.04597470.977013
690.01808690.03617380.981913
700.02164830.04329660.978352
710.0169620.03392390.983038
720.0166470.03329390.983353
730.01788950.03577910.98211
740.01850310.03700620.981497
750.0166640.0333280.983336
760.01361410.02722820.986386
770.01469250.02938510.985307
780.01210710.02421420.987893
790.01166440.02332880.988336
800.01131120.02262250.988689
810.01218990.02437990.98781
820.01344470.02688930.986555
830.01344170.02688340.986558
840.01842750.0368550.981573
850.02502730.05005460.974973
860.02774630.05549250.972254
870.02471920.04943850.975281
880.02100670.04201340.978993
890.02108450.0421690.978916
900.02495890.04991770.975041
910.02060130.04120250.979399
920.02707520.05415040.972925
930.04174720.08349450.958253
940.0409110.08182190.959089
950.0415680.0831360.958432
960.0493730.09874610.950627
970.06565310.1313060.934347
980.06200150.1240030.937998
990.05619030.1123810.94381
1000.06260880.1252180.937391
1010.05430250.1086050.945698
1020.05406330.1081270.945937
1030.05033750.1006750.949662
1040.06509620.1301920.934904
1050.05981320.1196260.940187
1060.06205190.1241040.937948
1070.05633680.1126740.943663
1080.05967120.1193420.940329
1090.05193010.103860.94807
1100.05271890.1054380.947281
1110.05922670.1184530.940773
1120.05788660.1157730.942113
1130.1014970.2029940.898503
1140.1947480.3894970.805252
1150.1950230.3900460.804977
1160.1861270.3722530.813873
1170.1900570.3801150.809943
1180.1707140.3414280.829286
1190.1493390.2986790.850661
1200.1402090.2804190.859791
1210.1285560.2571130.871444
1220.2017060.4034120.798294
1230.1975510.3951020.802449
1240.3512430.7024870.648757
1250.3735390.7470780.626461
1260.3868610.7737230.613139
1270.3741160.7482320.625884
1280.403840.807680.59616
1290.4314610.8629230.568539
1300.4594480.9188970.540552
1310.4686920.9373850.531308
1320.4385890.8771780.561411
1330.4520050.9040090.547995
1340.4726690.9453380.527331
1350.5372850.925430.462715
1360.5940220.8119570.405978
1370.6044510.7910980.395549
1380.7322280.5355440.267772
1390.7197090.5605820.280291
1400.7342810.5314370.265719
1410.7164050.5671890.283595
1420.6901870.6196250.309813
1430.6685680.6628650.331432
1440.6766390.6467220.323361
1450.6586560.6826880.341344
1460.6510270.6979460.348973
1470.6524440.6951120.347556
1480.6714540.6570910.328546
1490.6657670.6684650.334233
1500.6384320.7231360.361568
1510.6099130.7801730.390087
1520.6385130.7229730.361487
1530.6214530.7570930.378547
1540.5918030.8163950.408197
1550.5699590.8600820.430041
1560.5602390.8795210.439761
1570.547030.905940.45297
1580.5719250.8561510.428075
1590.5847020.8305960.415298
1600.5682570.8634860.431743
1610.5777240.8445520.422276
1620.560880.8782390.43912
1630.5333910.9332180.466609
1640.8736690.2526610.126331
1650.9065160.1869690.0934843
1660.8921470.2157050.107853
1670.8948860.2102290.105114
1680.8893870.2212260.110613
1690.8849060.2301870.115094
1700.8781920.2436150.121808
1710.8711620.2576750.128838
1720.8678870.2642260.132113
1730.9024220.1951570.0975783
1740.886960.226080.11304
1750.86980.26040.1302
1760.8635070.2729850.136493
1770.8655910.2688170.134409
1780.8611870.2776250.138813
1790.8989160.2021680.101084
1800.9383680.1232640.0616319
1810.9341110.1317790.0658895
1820.9444680.1110640.0555321
1830.9422610.1154790.0577394
1840.9397450.120510.0602549
1850.9712610.05747790.028739
1860.9705190.05896230.0294811
1870.9672780.06544490.0327225
1880.973240.05352030.0267602
1890.980450.03909950.0195497
1900.9757360.04852870.0242644
1910.9710030.05799430.0289972
1920.9697820.06043590.0302179
1930.9665240.06695180.0334759
1940.9622530.07549320.0377466
1950.9549650.09006910.0450345
1960.945770.108460.0542298
1970.9358340.1283330.0641664
1980.9271020.1457950.0728976
1990.9140190.1719630.0859813
2000.9092540.1814930.0907463
2010.9047660.1904680.0952341
2020.8875990.2248020.112401
2030.8719670.2560670.128033
2040.8797660.2404680.120234
2050.8720520.2558960.127948
2060.8513630.2972730.148637
2070.9365050.1269910.0634954
2080.9240080.1519850.0759923
2090.9206830.1586330.0793166
2100.9099420.1801160.0900578
2110.8940460.2119090.105954
2120.8759450.248110.124055
2130.8796110.2407770.120389
2140.8607510.2784980.139249
2150.8408330.3183340.159167
2160.858060.283880.14194
2170.8395070.3209870.160493
2180.8120470.3759060.187953
2190.7820230.4359540.217977
2200.7821790.4356410.217821
2210.7768630.4462740.223137
2220.7446730.5106540.255327
2230.7493560.5012890.250644
2240.7601080.4797840.239892
2250.7402380.5195250.259762
2260.7155920.5688160.284408
2270.7462250.507550.253775
2280.7105090.5789830.289491
2290.7584710.4830580.241529
2300.7868670.4262660.213133
2310.8068480.3863030.193152
2320.8388940.3222110.161106
2330.8165190.3669610.183481
2340.7828360.4343290.217164
2350.8074870.3850250.192513
2360.8199710.3600590.180029
2370.7896490.4207020.210351
2380.7686150.4627710.231385
2390.9569310.08613860.0430693
2400.9452670.1094660.0547331
2410.9617340.07653150.0382658
2420.9485490.1029030.0514514
2430.9355850.128830.0644149
2440.9610740.07785190.0389259
2450.9515090.09698130.0484906
2460.9508060.09838820.0491941
2470.9458030.1083930.0541966
2480.9603510.07929840.0396492
2490.977740.04451990.02226
2500.9844310.03113820.0155691
2510.9806560.03868890.0193444
2520.9974090.005181660.00259083
2530.9955050.008989070.00449454
2540.9932750.01344970.00672485
2550.9918720.0162570.0081285
2560.9865060.02698810.013494
2570.9787570.04248670.0212434
2580.9967460.006507220.00325361
2590.9937590.0124830.0062415
2600.9895620.02087630.0104381
2610.9809070.03818640.0190932
2620.9691740.06165210.0308261
2630.9726290.05474120.0273706
2640.9535690.09286260.0464313
2650.9287530.1424930.0712467
2660.893350.21330.10665
2670.8734670.2530670.126533
2680.7861130.4277740.213887
2690.6576260.6847490.342374
2700.4897930.9795850.510207
2710.4482590.8965190.551741

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
8 & 9.64586e-48 & 1.92917e-47 & 1 \tabularnewline
9 & 0 & 0 & 1 \tabularnewline
10 & 0 & 0 & 1 \tabularnewline
11 & 1.56247e-91 & 3.12494e-91 & 1 \tabularnewline
12 & 1.46183e-104 & 2.92367e-104 & 1 \tabularnewline
13 & 0 & 0 & 1 \tabularnewline
14 & 0 & 0 & 1 \tabularnewline
15 & 5.44529e-152 & 1.08906e-151 & 1 \tabularnewline
16 & 0.0244866 & 0.0489733 & 0.975513 \tabularnewline
17 & 0.0131314 & 0.0262628 & 0.986869 \tabularnewline
18 & 0.0100509 & 0.0201018 & 0.989949 \tabularnewline
19 & 0.106285 & 0.21257 & 0.893715 \tabularnewline
20 & 0.0737846 & 0.147569 & 0.926215 \tabularnewline
21 & 0.0506311 & 0.101262 & 0.949369 \tabularnewline
22 & 0.0377832 & 0.0755663 & 0.962217 \tabularnewline
23 & 0.024783 & 0.049566 & 0.975217 \tabularnewline
24 & 0.0154877 & 0.0309754 & 0.984512 \tabularnewline
25 & 0.0097849 & 0.0195698 & 0.990215 \tabularnewline
26 & 0.0101173 & 0.0202347 & 0.989883 \tabularnewline
27 & 0.0508124 & 0.101625 & 0.949188 \tabularnewline
28 & 0.0846195 & 0.169239 & 0.915381 \tabularnewline
29 & 0.0633422 & 0.126684 & 0.936658 \tabularnewline
30 & 0.047944 & 0.0958881 & 0.952056 \tabularnewline
31 & 0.0379132 & 0.0758264 & 0.962087 \tabularnewline
32 & 0.02823 & 0.0564599 & 0.97177 \tabularnewline
33 & 0.0204697 & 0.0409393 & 0.97953 \tabularnewline
34 & 0.0141586 & 0.0283171 & 0.985841 \tabularnewline
35 & 0.011675 & 0.0233499 & 0.988325 \tabularnewline
36 & 0.00948077 & 0.0189615 & 0.990519 \tabularnewline
37 & 0.00643409 & 0.0128682 & 0.993566 \tabularnewline
38 & 0.0192409 & 0.0384818 & 0.980759 \tabularnewline
39 & 0.013558 & 0.0271159 & 0.986442 \tabularnewline
40 & 0.0100323 & 0.0200646 & 0.989968 \tabularnewline
41 & 0.00728053 & 0.0145611 & 0.992719 \tabularnewline
42 & 0.00553889 & 0.0110778 & 0.994461 \tabularnewline
43 & 0.00414422 & 0.00828844 & 0.995856 \tabularnewline
44 & 0.00284833 & 0.00569665 & 0.997152 \tabularnewline
45 & 0.00380173 & 0.00760345 & 0.996198 \tabularnewline
46 & 0.0025453 & 0.00509059 & 0.997455 \tabularnewline
47 & 0.00236258 & 0.00472517 & 0.997637 \tabularnewline
48 & 0.00862561 & 0.0172512 & 0.991374 \tabularnewline
49 & 0.00913924 & 0.0182785 & 0.990861 \tabularnewline
50 & 0.0104969 & 0.0209938 & 0.989503 \tabularnewline
51 & 0.0186094 & 0.0372188 & 0.981391 \tabularnewline
52 & 0.0221496 & 0.0442991 & 0.97785 \tabularnewline
53 & 0.0181226 & 0.0362452 & 0.981877 \tabularnewline
54 & 0.0369097 & 0.0738193 & 0.96309 \tabularnewline
55 & 0.0369229 & 0.0738459 & 0.963077 \tabularnewline
56 & 0.0352203 & 0.0704407 & 0.96478 \tabularnewline
57 & 0.0808479 & 0.161696 & 0.919152 \tabularnewline
58 & 0.0752962 & 0.150592 & 0.924704 \tabularnewline
59 & 0.0699334 & 0.139867 & 0.930067 \tabularnewline
60 & 0.0765863 & 0.153173 & 0.923414 \tabularnewline
61 & 0.0632241 & 0.126448 & 0.936776 \tabularnewline
62 & 0.055921 & 0.111842 & 0.944079 \tabularnewline
63 & 0.0546812 & 0.109362 & 0.945319 \tabularnewline
64 & 0.0436484 & 0.0872967 & 0.956352 \tabularnewline
65 & 0.0346005 & 0.0692011 & 0.965399 \tabularnewline
66 & 0.033347 & 0.0666941 & 0.966653 \tabularnewline
67 & 0.0266016 & 0.0532032 & 0.973398 \tabularnewline
68 & 0.0229873 & 0.0459747 & 0.977013 \tabularnewline
69 & 0.0180869 & 0.0361738 & 0.981913 \tabularnewline
70 & 0.0216483 & 0.0432966 & 0.978352 \tabularnewline
71 & 0.016962 & 0.0339239 & 0.983038 \tabularnewline
72 & 0.016647 & 0.0332939 & 0.983353 \tabularnewline
73 & 0.0178895 & 0.0357791 & 0.98211 \tabularnewline
74 & 0.0185031 & 0.0370062 & 0.981497 \tabularnewline
75 & 0.016664 & 0.033328 & 0.983336 \tabularnewline
76 & 0.0136141 & 0.0272282 & 0.986386 \tabularnewline
77 & 0.0146925 & 0.0293851 & 0.985307 \tabularnewline
78 & 0.0121071 & 0.0242142 & 0.987893 \tabularnewline
79 & 0.0116644 & 0.0233288 & 0.988336 \tabularnewline
80 & 0.0113112 & 0.0226225 & 0.988689 \tabularnewline
81 & 0.0121899 & 0.0243799 & 0.98781 \tabularnewline
82 & 0.0134447 & 0.0268893 & 0.986555 \tabularnewline
83 & 0.0134417 & 0.0268834 & 0.986558 \tabularnewline
84 & 0.0184275 & 0.036855 & 0.981573 \tabularnewline
85 & 0.0250273 & 0.0500546 & 0.974973 \tabularnewline
86 & 0.0277463 & 0.0554925 & 0.972254 \tabularnewline
87 & 0.0247192 & 0.0494385 & 0.975281 \tabularnewline
88 & 0.0210067 & 0.0420134 & 0.978993 \tabularnewline
89 & 0.0210845 & 0.042169 & 0.978916 \tabularnewline
90 & 0.0249589 & 0.0499177 & 0.975041 \tabularnewline
91 & 0.0206013 & 0.0412025 & 0.979399 \tabularnewline
92 & 0.0270752 & 0.0541504 & 0.972925 \tabularnewline
93 & 0.0417472 & 0.0834945 & 0.958253 \tabularnewline
94 & 0.040911 & 0.0818219 & 0.959089 \tabularnewline
95 & 0.041568 & 0.083136 & 0.958432 \tabularnewline
96 & 0.049373 & 0.0987461 & 0.950627 \tabularnewline
97 & 0.0656531 & 0.131306 & 0.934347 \tabularnewline
98 & 0.0620015 & 0.124003 & 0.937998 \tabularnewline
99 & 0.0561903 & 0.112381 & 0.94381 \tabularnewline
100 & 0.0626088 & 0.125218 & 0.937391 \tabularnewline
101 & 0.0543025 & 0.108605 & 0.945698 \tabularnewline
102 & 0.0540633 & 0.108127 & 0.945937 \tabularnewline
103 & 0.0503375 & 0.100675 & 0.949662 \tabularnewline
104 & 0.0650962 & 0.130192 & 0.934904 \tabularnewline
105 & 0.0598132 & 0.119626 & 0.940187 \tabularnewline
106 & 0.0620519 & 0.124104 & 0.937948 \tabularnewline
107 & 0.0563368 & 0.112674 & 0.943663 \tabularnewline
108 & 0.0596712 & 0.119342 & 0.940329 \tabularnewline
109 & 0.0519301 & 0.10386 & 0.94807 \tabularnewline
110 & 0.0527189 & 0.105438 & 0.947281 \tabularnewline
111 & 0.0592267 & 0.118453 & 0.940773 \tabularnewline
112 & 0.0578866 & 0.115773 & 0.942113 \tabularnewline
113 & 0.101497 & 0.202994 & 0.898503 \tabularnewline
114 & 0.194748 & 0.389497 & 0.805252 \tabularnewline
115 & 0.195023 & 0.390046 & 0.804977 \tabularnewline
116 & 0.186127 & 0.372253 & 0.813873 \tabularnewline
117 & 0.190057 & 0.380115 & 0.809943 \tabularnewline
118 & 0.170714 & 0.341428 & 0.829286 \tabularnewline
119 & 0.149339 & 0.298679 & 0.850661 \tabularnewline
120 & 0.140209 & 0.280419 & 0.859791 \tabularnewline
121 & 0.128556 & 0.257113 & 0.871444 \tabularnewline
122 & 0.201706 & 0.403412 & 0.798294 \tabularnewline
123 & 0.197551 & 0.395102 & 0.802449 \tabularnewline
124 & 0.351243 & 0.702487 & 0.648757 \tabularnewline
125 & 0.373539 & 0.747078 & 0.626461 \tabularnewline
126 & 0.386861 & 0.773723 & 0.613139 \tabularnewline
127 & 0.374116 & 0.748232 & 0.625884 \tabularnewline
128 & 0.40384 & 0.80768 & 0.59616 \tabularnewline
129 & 0.431461 & 0.862923 & 0.568539 \tabularnewline
130 & 0.459448 & 0.918897 & 0.540552 \tabularnewline
131 & 0.468692 & 0.937385 & 0.531308 \tabularnewline
132 & 0.438589 & 0.877178 & 0.561411 \tabularnewline
133 & 0.452005 & 0.904009 & 0.547995 \tabularnewline
134 & 0.472669 & 0.945338 & 0.527331 \tabularnewline
135 & 0.537285 & 0.92543 & 0.462715 \tabularnewline
136 & 0.594022 & 0.811957 & 0.405978 \tabularnewline
137 & 0.604451 & 0.791098 & 0.395549 \tabularnewline
138 & 0.732228 & 0.535544 & 0.267772 \tabularnewline
139 & 0.719709 & 0.560582 & 0.280291 \tabularnewline
140 & 0.734281 & 0.531437 & 0.265719 \tabularnewline
141 & 0.716405 & 0.567189 & 0.283595 \tabularnewline
142 & 0.690187 & 0.619625 & 0.309813 \tabularnewline
143 & 0.668568 & 0.662865 & 0.331432 \tabularnewline
144 & 0.676639 & 0.646722 & 0.323361 \tabularnewline
145 & 0.658656 & 0.682688 & 0.341344 \tabularnewline
146 & 0.651027 & 0.697946 & 0.348973 \tabularnewline
147 & 0.652444 & 0.695112 & 0.347556 \tabularnewline
148 & 0.671454 & 0.657091 & 0.328546 \tabularnewline
149 & 0.665767 & 0.668465 & 0.334233 \tabularnewline
150 & 0.638432 & 0.723136 & 0.361568 \tabularnewline
151 & 0.609913 & 0.780173 & 0.390087 \tabularnewline
152 & 0.638513 & 0.722973 & 0.361487 \tabularnewline
153 & 0.621453 & 0.757093 & 0.378547 \tabularnewline
154 & 0.591803 & 0.816395 & 0.408197 \tabularnewline
155 & 0.569959 & 0.860082 & 0.430041 \tabularnewline
156 & 0.560239 & 0.879521 & 0.439761 \tabularnewline
157 & 0.54703 & 0.90594 & 0.45297 \tabularnewline
158 & 0.571925 & 0.856151 & 0.428075 \tabularnewline
159 & 0.584702 & 0.830596 & 0.415298 \tabularnewline
160 & 0.568257 & 0.863486 & 0.431743 \tabularnewline
161 & 0.577724 & 0.844552 & 0.422276 \tabularnewline
162 & 0.56088 & 0.878239 & 0.43912 \tabularnewline
163 & 0.533391 & 0.933218 & 0.466609 \tabularnewline
164 & 0.873669 & 0.252661 & 0.126331 \tabularnewline
165 & 0.906516 & 0.186969 & 0.0934843 \tabularnewline
166 & 0.892147 & 0.215705 & 0.107853 \tabularnewline
167 & 0.894886 & 0.210229 & 0.105114 \tabularnewline
168 & 0.889387 & 0.221226 & 0.110613 \tabularnewline
169 & 0.884906 & 0.230187 & 0.115094 \tabularnewline
170 & 0.878192 & 0.243615 & 0.121808 \tabularnewline
171 & 0.871162 & 0.257675 & 0.128838 \tabularnewline
172 & 0.867887 & 0.264226 & 0.132113 \tabularnewline
173 & 0.902422 & 0.195157 & 0.0975783 \tabularnewline
174 & 0.88696 & 0.22608 & 0.11304 \tabularnewline
175 & 0.8698 & 0.2604 & 0.1302 \tabularnewline
176 & 0.863507 & 0.272985 & 0.136493 \tabularnewline
177 & 0.865591 & 0.268817 & 0.134409 \tabularnewline
178 & 0.861187 & 0.277625 & 0.138813 \tabularnewline
179 & 0.898916 & 0.202168 & 0.101084 \tabularnewline
180 & 0.938368 & 0.123264 & 0.0616319 \tabularnewline
181 & 0.934111 & 0.131779 & 0.0658895 \tabularnewline
182 & 0.944468 & 0.111064 & 0.0555321 \tabularnewline
183 & 0.942261 & 0.115479 & 0.0577394 \tabularnewline
184 & 0.939745 & 0.12051 & 0.0602549 \tabularnewline
185 & 0.971261 & 0.0574779 & 0.028739 \tabularnewline
186 & 0.970519 & 0.0589623 & 0.0294811 \tabularnewline
187 & 0.967278 & 0.0654449 & 0.0327225 \tabularnewline
188 & 0.97324 & 0.0535203 & 0.0267602 \tabularnewline
189 & 0.98045 & 0.0390995 & 0.0195497 \tabularnewline
190 & 0.975736 & 0.0485287 & 0.0242644 \tabularnewline
191 & 0.971003 & 0.0579943 & 0.0289972 \tabularnewline
192 & 0.969782 & 0.0604359 & 0.0302179 \tabularnewline
193 & 0.966524 & 0.0669518 & 0.0334759 \tabularnewline
194 & 0.962253 & 0.0754932 & 0.0377466 \tabularnewline
195 & 0.954965 & 0.0900691 & 0.0450345 \tabularnewline
196 & 0.94577 & 0.10846 & 0.0542298 \tabularnewline
197 & 0.935834 & 0.128333 & 0.0641664 \tabularnewline
198 & 0.927102 & 0.145795 & 0.0728976 \tabularnewline
199 & 0.914019 & 0.171963 & 0.0859813 \tabularnewline
200 & 0.909254 & 0.181493 & 0.0907463 \tabularnewline
201 & 0.904766 & 0.190468 & 0.0952341 \tabularnewline
202 & 0.887599 & 0.224802 & 0.112401 \tabularnewline
203 & 0.871967 & 0.256067 & 0.128033 \tabularnewline
204 & 0.879766 & 0.240468 & 0.120234 \tabularnewline
205 & 0.872052 & 0.255896 & 0.127948 \tabularnewline
206 & 0.851363 & 0.297273 & 0.148637 \tabularnewline
207 & 0.936505 & 0.126991 & 0.0634954 \tabularnewline
208 & 0.924008 & 0.151985 & 0.0759923 \tabularnewline
209 & 0.920683 & 0.158633 & 0.0793166 \tabularnewline
210 & 0.909942 & 0.180116 & 0.0900578 \tabularnewline
211 & 0.894046 & 0.211909 & 0.105954 \tabularnewline
212 & 0.875945 & 0.24811 & 0.124055 \tabularnewline
213 & 0.879611 & 0.240777 & 0.120389 \tabularnewline
214 & 0.860751 & 0.278498 & 0.139249 \tabularnewline
215 & 0.840833 & 0.318334 & 0.159167 \tabularnewline
216 & 0.85806 & 0.28388 & 0.14194 \tabularnewline
217 & 0.839507 & 0.320987 & 0.160493 \tabularnewline
218 & 0.812047 & 0.375906 & 0.187953 \tabularnewline
219 & 0.782023 & 0.435954 & 0.217977 \tabularnewline
220 & 0.782179 & 0.435641 & 0.217821 \tabularnewline
221 & 0.776863 & 0.446274 & 0.223137 \tabularnewline
222 & 0.744673 & 0.510654 & 0.255327 \tabularnewline
223 & 0.749356 & 0.501289 & 0.250644 \tabularnewline
224 & 0.760108 & 0.479784 & 0.239892 \tabularnewline
225 & 0.740238 & 0.519525 & 0.259762 \tabularnewline
226 & 0.715592 & 0.568816 & 0.284408 \tabularnewline
227 & 0.746225 & 0.50755 & 0.253775 \tabularnewline
228 & 0.710509 & 0.578983 & 0.289491 \tabularnewline
229 & 0.758471 & 0.483058 & 0.241529 \tabularnewline
230 & 0.786867 & 0.426266 & 0.213133 \tabularnewline
231 & 0.806848 & 0.386303 & 0.193152 \tabularnewline
232 & 0.838894 & 0.322211 & 0.161106 \tabularnewline
233 & 0.816519 & 0.366961 & 0.183481 \tabularnewline
234 & 0.782836 & 0.434329 & 0.217164 \tabularnewline
235 & 0.807487 & 0.385025 & 0.192513 \tabularnewline
236 & 0.819971 & 0.360059 & 0.180029 \tabularnewline
237 & 0.789649 & 0.420702 & 0.210351 \tabularnewline
238 & 0.768615 & 0.462771 & 0.231385 \tabularnewline
239 & 0.956931 & 0.0861386 & 0.0430693 \tabularnewline
240 & 0.945267 & 0.109466 & 0.0547331 \tabularnewline
241 & 0.961734 & 0.0765315 & 0.0382658 \tabularnewline
242 & 0.948549 & 0.102903 & 0.0514514 \tabularnewline
243 & 0.935585 & 0.12883 & 0.0644149 \tabularnewline
244 & 0.961074 & 0.0778519 & 0.0389259 \tabularnewline
245 & 0.951509 & 0.0969813 & 0.0484906 \tabularnewline
246 & 0.950806 & 0.0983882 & 0.0491941 \tabularnewline
247 & 0.945803 & 0.108393 & 0.0541966 \tabularnewline
248 & 0.960351 & 0.0792984 & 0.0396492 \tabularnewline
249 & 0.97774 & 0.0445199 & 0.02226 \tabularnewline
250 & 0.984431 & 0.0311382 & 0.0155691 \tabularnewline
251 & 0.980656 & 0.0386889 & 0.0193444 \tabularnewline
252 & 0.997409 & 0.00518166 & 0.00259083 \tabularnewline
253 & 0.995505 & 0.00898907 & 0.00449454 \tabularnewline
254 & 0.993275 & 0.0134497 & 0.00672485 \tabularnewline
255 & 0.991872 & 0.016257 & 0.0081285 \tabularnewline
256 & 0.986506 & 0.0269881 & 0.013494 \tabularnewline
257 & 0.978757 & 0.0424867 & 0.0212434 \tabularnewline
258 & 0.996746 & 0.00650722 & 0.00325361 \tabularnewline
259 & 0.993759 & 0.012483 & 0.0062415 \tabularnewline
260 & 0.989562 & 0.0208763 & 0.0104381 \tabularnewline
261 & 0.980907 & 0.0381864 & 0.0190932 \tabularnewline
262 & 0.969174 & 0.0616521 & 0.0308261 \tabularnewline
263 & 0.972629 & 0.0547412 & 0.0273706 \tabularnewline
264 & 0.953569 & 0.0928626 & 0.0464313 \tabularnewline
265 & 0.928753 & 0.142493 & 0.0712467 \tabularnewline
266 & 0.89335 & 0.2133 & 0.10665 \tabularnewline
267 & 0.873467 & 0.253067 & 0.126533 \tabularnewline
268 & 0.786113 & 0.427774 & 0.213887 \tabularnewline
269 & 0.657626 & 0.684749 & 0.342374 \tabularnewline
270 & 0.489793 & 0.979585 & 0.510207 \tabularnewline
271 & 0.448259 & 0.896519 & 0.551741 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=264797&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]9.64586e-48[/C][C]1.92917e-47[/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]1.56247e-91[/C][C]3.12494e-91[/C][C]1[/C][/ROW]
[ROW][C]12[/C][C]1.46183e-104[/C][C]2.92367e-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]5.44529e-152[/C][C]1.08906e-151[/C][C]1[/C][/ROW]
[ROW][C]16[/C][C]0.0244866[/C][C]0.0489733[/C][C]0.975513[/C][/ROW]
[ROW][C]17[/C][C]0.0131314[/C][C]0.0262628[/C][C]0.986869[/C][/ROW]
[ROW][C]18[/C][C]0.0100509[/C][C]0.0201018[/C][C]0.989949[/C][/ROW]
[ROW][C]19[/C][C]0.106285[/C][C]0.21257[/C][C]0.893715[/C][/ROW]
[ROW][C]20[/C][C]0.0737846[/C][C]0.147569[/C][C]0.926215[/C][/ROW]
[ROW][C]21[/C][C]0.0506311[/C][C]0.101262[/C][C]0.949369[/C][/ROW]
[ROW][C]22[/C][C]0.0377832[/C][C]0.0755663[/C][C]0.962217[/C][/ROW]
[ROW][C]23[/C][C]0.024783[/C][C]0.049566[/C][C]0.975217[/C][/ROW]
[ROW][C]24[/C][C]0.0154877[/C][C]0.0309754[/C][C]0.984512[/C][/ROW]
[ROW][C]25[/C][C]0.0097849[/C][C]0.0195698[/C][C]0.990215[/C][/ROW]
[ROW][C]26[/C][C]0.0101173[/C][C]0.0202347[/C][C]0.989883[/C][/ROW]
[ROW][C]27[/C][C]0.0508124[/C][C]0.101625[/C][C]0.949188[/C][/ROW]
[ROW][C]28[/C][C]0.0846195[/C][C]0.169239[/C][C]0.915381[/C][/ROW]
[ROW][C]29[/C][C]0.0633422[/C][C]0.126684[/C][C]0.936658[/C][/ROW]
[ROW][C]30[/C][C]0.047944[/C][C]0.0958881[/C][C]0.952056[/C][/ROW]
[ROW][C]31[/C][C]0.0379132[/C][C]0.0758264[/C][C]0.962087[/C][/ROW]
[ROW][C]32[/C][C]0.02823[/C][C]0.0564599[/C][C]0.97177[/C][/ROW]
[ROW][C]33[/C][C]0.0204697[/C][C]0.0409393[/C][C]0.97953[/C][/ROW]
[ROW][C]34[/C][C]0.0141586[/C][C]0.0283171[/C][C]0.985841[/C][/ROW]
[ROW][C]35[/C][C]0.011675[/C][C]0.0233499[/C][C]0.988325[/C][/ROW]
[ROW][C]36[/C][C]0.00948077[/C][C]0.0189615[/C][C]0.990519[/C][/ROW]
[ROW][C]37[/C][C]0.00643409[/C][C]0.0128682[/C][C]0.993566[/C][/ROW]
[ROW][C]38[/C][C]0.0192409[/C][C]0.0384818[/C][C]0.980759[/C][/ROW]
[ROW][C]39[/C][C]0.013558[/C][C]0.0271159[/C][C]0.986442[/C][/ROW]
[ROW][C]40[/C][C]0.0100323[/C][C]0.0200646[/C][C]0.989968[/C][/ROW]
[ROW][C]41[/C][C]0.00728053[/C][C]0.0145611[/C][C]0.992719[/C][/ROW]
[ROW][C]42[/C][C]0.00553889[/C][C]0.0110778[/C][C]0.994461[/C][/ROW]
[ROW][C]43[/C][C]0.00414422[/C][C]0.00828844[/C][C]0.995856[/C][/ROW]
[ROW][C]44[/C][C]0.00284833[/C][C]0.00569665[/C][C]0.997152[/C][/ROW]
[ROW][C]45[/C][C]0.00380173[/C][C]0.00760345[/C][C]0.996198[/C][/ROW]
[ROW][C]46[/C][C]0.0025453[/C][C]0.00509059[/C][C]0.997455[/C][/ROW]
[ROW][C]47[/C][C]0.00236258[/C][C]0.00472517[/C][C]0.997637[/C][/ROW]
[ROW][C]48[/C][C]0.00862561[/C][C]0.0172512[/C][C]0.991374[/C][/ROW]
[ROW][C]49[/C][C]0.00913924[/C][C]0.0182785[/C][C]0.990861[/C][/ROW]
[ROW][C]50[/C][C]0.0104969[/C][C]0.0209938[/C][C]0.989503[/C][/ROW]
[ROW][C]51[/C][C]0.0186094[/C][C]0.0372188[/C][C]0.981391[/C][/ROW]
[ROW][C]52[/C][C]0.0221496[/C][C]0.0442991[/C][C]0.97785[/C][/ROW]
[ROW][C]53[/C][C]0.0181226[/C][C]0.0362452[/C][C]0.981877[/C][/ROW]
[ROW][C]54[/C][C]0.0369097[/C][C]0.0738193[/C][C]0.96309[/C][/ROW]
[ROW][C]55[/C][C]0.0369229[/C][C]0.0738459[/C][C]0.963077[/C][/ROW]
[ROW][C]56[/C][C]0.0352203[/C][C]0.0704407[/C][C]0.96478[/C][/ROW]
[ROW][C]57[/C][C]0.0808479[/C][C]0.161696[/C][C]0.919152[/C][/ROW]
[ROW][C]58[/C][C]0.0752962[/C][C]0.150592[/C][C]0.924704[/C][/ROW]
[ROW][C]59[/C][C]0.0699334[/C][C]0.139867[/C][C]0.930067[/C][/ROW]
[ROW][C]60[/C][C]0.0765863[/C][C]0.153173[/C][C]0.923414[/C][/ROW]
[ROW][C]61[/C][C]0.0632241[/C][C]0.126448[/C][C]0.936776[/C][/ROW]
[ROW][C]62[/C][C]0.055921[/C][C]0.111842[/C][C]0.944079[/C][/ROW]
[ROW][C]63[/C][C]0.0546812[/C][C]0.109362[/C][C]0.945319[/C][/ROW]
[ROW][C]64[/C][C]0.0436484[/C][C]0.0872967[/C][C]0.956352[/C][/ROW]
[ROW][C]65[/C][C]0.0346005[/C][C]0.0692011[/C][C]0.965399[/C][/ROW]
[ROW][C]66[/C][C]0.033347[/C][C]0.0666941[/C][C]0.966653[/C][/ROW]
[ROW][C]67[/C][C]0.0266016[/C][C]0.0532032[/C][C]0.973398[/C][/ROW]
[ROW][C]68[/C][C]0.0229873[/C][C]0.0459747[/C][C]0.977013[/C][/ROW]
[ROW][C]69[/C][C]0.0180869[/C][C]0.0361738[/C][C]0.981913[/C][/ROW]
[ROW][C]70[/C][C]0.0216483[/C][C]0.0432966[/C][C]0.978352[/C][/ROW]
[ROW][C]71[/C][C]0.016962[/C][C]0.0339239[/C][C]0.983038[/C][/ROW]
[ROW][C]72[/C][C]0.016647[/C][C]0.0332939[/C][C]0.983353[/C][/ROW]
[ROW][C]73[/C][C]0.0178895[/C][C]0.0357791[/C][C]0.98211[/C][/ROW]
[ROW][C]74[/C][C]0.0185031[/C][C]0.0370062[/C][C]0.981497[/C][/ROW]
[ROW][C]75[/C][C]0.016664[/C][C]0.033328[/C][C]0.983336[/C][/ROW]
[ROW][C]76[/C][C]0.0136141[/C][C]0.0272282[/C][C]0.986386[/C][/ROW]
[ROW][C]77[/C][C]0.0146925[/C][C]0.0293851[/C][C]0.985307[/C][/ROW]
[ROW][C]78[/C][C]0.0121071[/C][C]0.0242142[/C][C]0.987893[/C][/ROW]
[ROW][C]79[/C][C]0.0116644[/C][C]0.0233288[/C][C]0.988336[/C][/ROW]
[ROW][C]80[/C][C]0.0113112[/C][C]0.0226225[/C][C]0.988689[/C][/ROW]
[ROW][C]81[/C][C]0.0121899[/C][C]0.0243799[/C][C]0.98781[/C][/ROW]
[ROW][C]82[/C][C]0.0134447[/C][C]0.0268893[/C][C]0.986555[/C][/ROW]
[ROW][C]83[/C][C]0.0134417[/C][C]0.0268834[/C][C]0.986558[/C][/ROW]
[ROW][C]84[/C][C]0.0184275[/C][C]0.036855[/C][C]0.981573[/C][/ROW]
[ROW][C]85[/C][C]0.0250273[/C][C]0.0500546[/C][C]0.974973[/C][/ROW]
[ROW][C]86[/C][C]0.0277463[/C][C]0.0554925[/C][C]0.972254[/C][/ROW]
[ROW][C]87[/C][C]0.0247192[/C][C]0.0494385[/C][C]0.975281[/C][/ROW]
[ROW][C]88[/C][C]0.0210067[/C][C]0.0420134[/C][C]0.978993[/C][/ROW]
[ROW][C]89[/C][C]0.0210845[/C][C]0.042169[/C][C]0.978916[/C][/ROW]
[ROW][C]90[/C][C]0.0249589[/C][C]0.0499177[/C][C]0.975041[/C][/ROW]
[ROW][C]91[/C][C]0.0206013[/C][C]0.0412025[/C][C]0.979399[/C][/ROW]
[ROW][C]92[/C][C]0.0270752[/C][C]0.0541504[/C][C]0.972925[/C][/ROW]
[ROW][C]93[/C][C]0.0417472[/C][C]0.0834945[/C][C]0.958253[/C][/ROW]
[ROW][C]94[/C][C]0.040911[/C][C]0.0818219[/C][C]0.959089[/C][/ROW]
[ROW][C]95[/C][C]0.041568[/C][C]0.083136[/C][C]0.958432[/C][/ROW]
[ROW][C]96[/C][C]0.049373[/C][C]0.0987461[/C][C]0.950627[/C][/ROW]
[ROW][C]97[/C][C]0.0656531[/C][C]0.131306[/C][C]0.934347[/C][/ROW]
[ROW][C]98[/C][C]0.0620015[/C][C]0.124003[/C][C]0.937998[/C][/ROW]
[ROW][C]99[/C][C]0.0561903[/C][C]0.112381[/C][C]0.94381[/C][/ROW]
[ROW][C]100[/C][C]0.0626088[/C][C]0.125218[/C][C]0.937391[/C][/ROW]
[ROW][C]101[/C][C]0.0543025[/C][C]0.108605[/C][C]0.945698[/C][/ROW]
[ROW][C]102[/C][C]0.0540633[/C][C]0.108127[/C][C]0.945937[/C][/ROW]
[ROW][C]103[/C][C]0.0503375[/C][C]0.100675[/C][C]0.949662[/C][/ROW]
[ROW][C]104[/C][C]0.0650962[/C][C]0.130192[/C][C]0.934904[/C][/ROW]
[ROW][C]105[/C][C]0.0598132[/C][C]0.119626[/C][C]0.940187[/C][/ROW]
[ROW][C]106[/C][C]0.0620519[/C][C]0.124104[/C][C]0.937948[/C][/ROW]
[ROW][C]107[/C][C]0.0563368[/C][C]0.112674[/C][C]0.943663[/C][/ROW]
[ROW][C]108[/C][C]0.0596712[/C][C]0.119342[/C][C]0.940329[/C][/ROW]
[ROW][C]109[/C][C]0.0519301[/C][C]0.10386[/C][C]0.94807[/C][/ROW]
[ROW][C]110[/C][C]0.0527189[/C][C]0.105438[/C][C]0.947281[/C][/ROW]
[ROW][C]111[/C][C]0.0592267[/C][C]0.118453[/C][C]0.940773[/C][/ROW]
[ROW][C]112[/C][C]0.0578866[/C][C]0.115773[/C][C]0.942113[/C][/ROW]
[ROW][C]113[/C][C]0.101497[/C][C]0.202994[/C][C]0.898503[/C][/ROW]
[ROW][C]114[/C][C]0.194748[/C][C]0.389497[/C][C]0.805252[/C][/ROW]
[ROW][C]115[/C][C]0.195023[/C][C]0.390046[/C][C]0.804977[/C][/ROW]
[ROW][C]116[/C][C]0.186127[/C][C]0.372253[/C][C]0.813873[/C][/ROW]
[ROW][C]117[/C][C]0.190057[/C][C]0.380115[/C][C]0.809943[/C][/ROW]
[ROW][C]118[/C][C]0.170714[/C][C]0.341428[/C][C]0.829286[/C][/ROW]
[ROW][C]119[/C][C]0.149339[/C][C]0.298679[/C][C]0.850661[/C][/ROW]
[ROW][C]120[/C][C]0.140209[/C][C]0.280419[/C][C]0.859791[/C][/ROW]
[ROW][C]121[/C][C]0.128556[/C][C]0.257113[/C][C]0.871444[/C][/ROW]
[ROW][C]122[/C][C]0.201706[/C][C]0.403412[/C][C]0.798294[/C][/ROW]
[ROW][C]123[/C][C]0.197551[/C][C]0.395102[/C][C]0.802449[/C][/ROW]
[ROW][C]124[/C][C]0.351243[/C][C]0.702487[/C][C]0.648757[/C][/ROW]
[ROW][C]125[/C][C]0.373539[/C][C]0.747078[/C][C]0.626461[/C][/ROW]
[ROW][C]126[/C][C]0.386861[/C][C]0.773723[/C][C]0.613139[/C][/ROW]
[ROW][C]127[/C][C]0.374116[/C][C]0.748232[/C][C]0.625884[/C][/ROW]
[ROW][C]128[/C][C]0.40384[/C][C]0.80768[/C][C]0.59616[/C][/ROW]
[ROW][C]129[/C][C]0.431461[/C][C]0.862923[/C][C]0.568539[/C][/ROW]
[ROW][C]130[/C][C]0.459448[/C][C]0.918897[/C][C]0.540552[/C][/ROW]
[ROW][C]131[/C][C]0.468692[/C][C]0.937385[/C][C]0.531308[/C][/ROW]
[ROW][C]132[/C][C]0.438589[/C][C]0.877178[/C][C]0.561411[/C][/ROW]
[ROW][C]133[/C][C]0.452005[/C][C]0.904009[/C][C]0.547995[/C][/ROW]
[ROW][C]134[/C][C]0.472669[/C][C]0.945338[/C][C]0.527331[/C][/ROW]
[ROW][C]135[/C][C]0.537285[/C][C]0.92543[/C][C]0.462715[/C][/ROW]
[ROW][C]136[/C][C]0.594022[/C][C]0.811957[/C][C]0.405978[/C][/ROW]
[ROW][C]137[/C][C]0.604451[/C][C]0.791098[/C][C]0.395549[/C][/ROW]
[ROW][C]138[/C][C]0.732228[/C][C]0.535544[/C][C]0.267772[/C][/ROW]
[ROW][C]139[/C][C]0.719709[/C][C]0.560582[/C][C]0.280291[/C][/ROW]
[ROW][C]140[/C][C]0.734281[/C][C]0.531437[/C][C]0.265719[/C][/ROW]
[ROW][C]141[/C][C]0.716405[/C][C]0.567189[/C][C]0.283595[/C][/ROW]
[ROW][C]142[/C][C]0.690187[/C][C]0.619625[/C][C]0.309813[/C][/ROW]
[ROW][C]143[/C][C]0.668568[/C][C]0.662865[/C][C]0.331432[/C][/ROW]
[ROW][C]144[/C][C]0.676639[/C][C]0.646722[/C][C]0.323361[/C][/ROW]
[ROW][C]145[/C][C]0.658656[/C][C]0.682688[/C][C]0.341344[/C][/ROW]
[ROW][C]146[/C][C]0.651027[/C][C]0.697946[/C][C]0.348973[/C][/ROW]
[ROW][C]147[/C][C]0.652444[/C][C]0.695112[/C][C]0.347556[/C][/ROW]
[ROW][C]148[/C][C]0.671454[/C][C]0.657091[/C][C]0.328546[/C][/ROW]
[ROW][C]149[/C][C]0.665767[/C][C]0.668465[/C][C]0.334233[/C][/ROW]
[ROW][C]150[/C][C]0.638432[/C][C]0.723136[/C][C]0.361568[/C][/ROW]
[ROW][C]151[/C][C]0.609913[/C][C]0.780173[/C][C]0.390087[/C][/ROW]
[ROW][C]152[/C][C]0.638513[/C][C]0.722973[/C][C]0.361487[/C][/ROW]
[ROW][C]153[/C][C]0.621453[/C][C]0.757093[/C][C]0.378547[/C][/ROW]
[ROW][C]154[/C][C]0.591803[/C][C]0.816395[/C][C]0.408197[/C][/ROW]
[ROW][C]155[/C][C]0.569959[/C][C]0.860082[/C][C]0.430041[/C][/ROW]
[ROW][C]156[/C][C]0.560239[/C][C]0.879521[/C][C]0.439761[/C][/ROW]
[ROW][C]157[/C][C]0.54703[/C][C]0.90594[/C][C]0.45297[/C][/ROW]
[ROW][C]158[/C][C]0.571925[/C][C]0.856151[/C][C]0.428075[/C][/ROW]
[ROW][C]159[/C][C]0.584702[/C][C]0.830596[/C][C]0.415298[/C][/ROW]
[ROW][C]160[/C][C]0.568257[/C][C]0.863486[/C][C]0.431743[/C][/ROW]
[ROW][C]161[/C][C]0.577724[/C][C]0.844552[/C][C]0.422276[/C][/ROW]
[ROW][C]162[/C][C]0.56088[/C][C]0.878239[/C][C]0.43912[/C][/ROW]
[ROW][C]163[/C][C]0.533391[/C][C]0.933218[/C][C]0.466609[/C][/ROW]
[ROW][C]164[/C][C]0.873669[/C][C]0.252661[/C][C]0.126331[/C][/ROW]
[ROW][C]165[/C][C]0.906516[/C][C]0.186969[/C][C]0.0934843[/C][/ROW]
[ROW][C]166[/C][C]0.892147[/C][C]0.215705[/C][C]0.107853[/C][/ROW]
[ROW][C]167[/C][C]0.894886[/C][C]0.210229[/C][C]0.105114[/C][/ROW]
[ROW][C]168[/C][C]0.889387[/C][C]0.221226[/C][C]0.110613[/C][/ROW]
[ROW][C]169[/C][C]0.884906[/C][C]0.230187[/C][C]0.115094[/C][/ROW]
[ROW][C]170[/C][C]0.878192[/C][C]0.243615[/C][C]0.121808[/C][/ROW]
[ROW][C]171[/C][C]0.871162[/C][C]0.257675[/C][C]0.128838[/C][/ROW]
[ROW][C]172[/C][C]0.867887[/C][C]0.264226[/C][C]0.132113[/C][/ROW]
[ROW][C]173[/C][C]0.902422[/C][C]0.195157[/C][C]0.0975783[/C][/ROW]
[ROW][C]174[/C][C]0.88696[/C][C]0.22608[/C][C]0.11304[/C][/ROW]
[ROW][C]175[/C][C]0.8698[/C][C]0.2604[/C][C]0.1302[/C][/ROW]
[ROW][C]176[/C][C]0.863507[/C][C]0.272985[/C][C]0.136493[/C][/ROW]
[ROW][C]177[/C][C]0.865591[/C][C]0.268817[/C][C]0.134409[/C][/ROW]
[ROW][C]178[/C][C]0.861187[/C][C]0.277625[/C][C]0.138813[/C][/ROW]
[ROW][C]179[/C][C]0.898916[/C][C]0.202168[/C][C]0.101084[/C][/ROW]
[ROW][C]180[/C][C]0.938368[/C][C]0.123264[/C][C]0.0616319[/C][/ROW]
[ROW][C]181[/C][C]0.934111[/C][C]0.131779[/C][C]0.0658895[/C][/ROW]
[ROW][C]182[/C][C]0.944468[/C][C]0.111064[/C][C]0.0555321[/C][/ROW]
[ROW][C]183[/C][C]0.942261[/C][C]0.115479[/C][C]0.0577394[/C][/ROW]
[ROW][C]184[/C][C]0.939745[/C][C]0.12051[/C][C]0.0602549[/C][/ROW]
[ROW][C]185[/C][C]0.971261[/C][C]0.0574779[/C][C]0.028739[/C][/ROW]
[ROW][C]186[/C][C]0.970519[/C][C]0.0589623[/C][C]0.0294811[/C][/ROW]
[ROW][C]187[/C][C]0.967278[/C][C]0.0654449[/C][C]0.0327225[/C][/ROW]
[ROW][C]188[/C][C]0.97324[/C][C]0.0535203[/C][C]0.0267602[/C][/ROW]
[ROW][C]189[/C][C]0.98045[/C][C]0.0390995[/C][C]0.0195497[/C][/ROW]
[ROW][C]190[/C][C]0.975736[/C][C]0.0485287[/C][C]0.0242644[/C][/ROW]
[ROW][C]191[/C][C]0.971003[/C][C]0.0579943[/C][C]0.0289972[/C][/ROW]
[ROW][C]192[/C][C]0.969782[/C][C]0.0604359[/C][C]0.0302179[/C][/ROW]
[ROW][C]193[/C][C]0.966524[/C][C]0.0669518[/C][C]0.0334759[/C][/ROW]
[ROW][C]194[/C][C]0.962253[/C][C]0.0754932[/C][C]0.0377466[/C][/ROW]
[ROW][C]195[/C][C]0.954965[/C][C]0.0900691[/C][C]0.0450345[/C][/ROW]
[ROW][C]196[/C][C]0.94577[/C][C]0.10846[/C][C]0.0542298[/C][/ROW]
[ROW][C]197[/C][C]0.935834[/C][C]0.128333[/C][C]0.0641664[/C][/ROW]
[ROW][C]198[/C][C]0.927102[/C][C]0.145795[/C][C]0.0728976[/C][/ROW]
[ROW][C]199[/C][C]0.914019[/C][C]0.171963[/C][C]0.0859813[/C][/ROW]
[ROW][C]200[/C][C]0.909254[/C][C]0.181493[/C][C]0.0907463[/C][/ROW]
[ROW][C]201[/C][C]0.904766[/C][C]0.190468[/C][C]0.0952341[/C][/ROW]
[ROW][C]202[/C][C]0.887599[/C][C]0.224802[/C][C]0.112401[/C][/ROW]
[ROW][C]203[/C][C]0.871967[/C][C]0.256067[/C][C]0.128033[/C][/ROW]
[ROW][C]204[/C][C]0.879766[/C][C]0.240468[/C][C]0.120234[/C][/ROW]
[ROW][C]205[/C][C]0.872052[/C][C]0.255896[/C][C]0.127948[/C][/ROW]
[ROW][C]206[/C][C]0.851363[/C][C]0.297273[/C][C]0.148637[/C][/ROW]
[ROW][C]207[/C][C]0.936505[/C][C]0.126991[/C][C]0.0634954[/C][/ROW]
[ROW][C]208[/C][C]0.924008[/C][C]0.151985[/C][C]0.0759923[/C][/ROW]
[ROW][C]209[/C][C]0.920683[/C][C]0.158633[/C][C]0.0793166[/C][/ROW]
[ROW][C]210[/C][C]0.909942[/C][C]0.180116[/C][C]0.0900578[/C][/ROW]
[ROW][C]211[/C][C]0.894046[/C][C]0.211909[/C][C]0.105954[/C][/ROW]
[ROW][C]212[/C][C]0.875945[/C][C]0.24811[/C][C]0.124055[/C][/ROW]
[ROW][C]213[/C][C]0.879611[/C][C]0.240777[/C][C]0.120389[/C][/ROW]
[ROW][C]214[/C][C]0.860751[/C][C]0.278498[/C][C]0.139249[/C][/ROW]
[ROW][C]215[/C][C]0.840833[/C][C]0.318334[/C][C]0.159167[/C][/ROW]
[ROW][C]216[/C][C]0.85806[/C][C]0.28388[/C][C]0.14194[/C][/ROW]
[ROW][C]217[/C][C]0.839507[/C][C]0.320987[/C][C]0.160493[/C][/ROW]
[ROW][C]218[/C][C]0.812047[/C][C]0.375906[/C][C]0.187953[/C][/ROW]
[ROW][C]219[/C][C]0.782023[/C][C]0.435954[/C][C]0.217977[/C][/ROW]
[ROW][C]220[/C][C]0.782179[/C][C]0.435641[/C][C]0.217821[/C][/ROW]
[ROW][C]221[/C][C]0.776863[/C][C]0.446274[/C][C]0.223137[/C][/ROW]
[ROW][C]222[/C][C]0.744673[/C][C]0.510654[/C][C]0.255327[/C][/ROW]
[ROW][C]223[/C][C]0.749356[/C][C]0.501289[/C][C]0.250644[/C][/ROW]
[ROW][C]224[/C][C]0.760108[/C][C]0.479784[/C][C]0.239892[/C][/ROW]
[ROW][C]225[/C][C]0.740238[/C][C]0.519525[/C][C]0.259762[/C][/ROW]
[ROW][C]226[/C][C]0.715592[/C][C]0.568816[/C][C]0.284408[/C][/ROW]
[ROW][C]227[/C][C]0.746225[/C][C]0.50755[/C][C]0.253775[/C][/ROW]
[ROW][C]228[/C][C]0.710509[/C][C]0.578983[/C][C]0.289491[/C][/ROW]
[ROW][C]229[/C][C]0.758471[/C][C]0.483058[/C][C]0.241529[/C][/ROW]
[ROW][C]230[/C][C]0.786867[/C][C]0.426266[/C][C]0.213133[/C][/ROW]
[ROW][C]231[/C][C]0.806848[/C][C]0.386303[/C][C]0.193152[/C][/ROW]
[ROW][C]232[/C][C]0.838894[/C][C]0.322211[/C][C]0.161106[/C][/ROW]
[ROW][C]233[/C][C]0.816519[/C][C]0.366961[/C][C]0.183481[/C][/ROW]
[ROW][C]234[/C][C]0.782836[/C][C]0.434329[/C][C]0.217164[/C][/ROW]
[ROW][C]235[/C][C]0.807487[/C][C]0.385025[/C][C]0.192513[/C][/ROW]
[ROW][C]236[/C][C]0.819971[/C][C]0.360059[/C][C]0.180029[/C][/ROW]
[ROW][C]237[/C][C]0.789649[/C][C]0.420702[/C][C]0.210351[/C][/ROW]
[ROW][C]238[/C][C]0.768615[/C][C]0.462771[/C][C]0.231385[/C][/ROW]
[ROW][C]239[/C][C]0.956931[/C][C]0.0861386[/C][C]0.0430693[/C][/ROW]
[ROW][C]240[/C][C]0.945267[/C][C]0.109466[/C][C]0.0547331[/C][/ROW]
[ROW][C]241[/C][C]0.961734[/C][C]0.0765315[/C][C]0.0382658[/C][/ROW]
[ROW][C]242[/C][C]0.948549[/C][C]0.102903[/C][C]0.0514514[/C][/ROW]
[ROW][C]243[/C][C]0.935585[/C][C]0.12883[/C][C]0.0644149[/C][/ROW]
[ROW][C]244[/C][C]0.961074[/C][C]0.0778519[/C][C]0.0389259[/C][/ROW]
[ROW][C]245[/C][C]0.951509[/C][C]0.0969813[/C][C]0.0484906[/C][/ROW]
[ROW][C]246[/C][C]0.950806[/C][C]0.0983882[/C][C]0.0491941[/C][/ROW]
[ROW][C]247[/C][C]0.945803[/C][C]0.108393[/C][C]0.0541966[/C][/ROW]
[ROW][C]248[/C][C]0.960351[/C][C]0.0792984[/C][C]0.0396492[/C][/ROW]
[ROW][C]249[/C][C]0.97774[/C][C]0.0445199[/C][C]0.02226[/C][/ROW]
[ROW][C]250[/C][C]0.984431[/C][C]0.0311382[/C][C]0.0155691[/C][/ROW]
[ROW][C]251[/C][C]0.980656[/C][C]0.0386889[/C][C]0.0193444[/C][/ROW]
[ROW][C]252[/C][C]0.997409[/C][C]0.00518166[/C][C]0.00259083[/C][/ROW]
[ROW][C]253[/C][C]0.995505[/C][C]0.00898907[/C][C]0.00449454[/C][/ROW]
[ROW][C]254[/C][C]0.993275[/C][C]0.0134497[/C][C]0.00672485[/C][/ROW]
[ROW][C]255[/C][C]0.991872[/C][C]0.016257[/C][C]0.0081285[/C][/ROW]
[ROW][C]256[/C][C]0.986506[/C][C]0.0269881[/C][C]0.013494[/C][/ROW]
[ROW][C]257[/C][C]0.978757[/C][C]0.0424867[/C][C]0.0212434[/C][/ROW]
[ROW][C]258[/C][C]0.996746[/C][C]0.00650722[/C][C]0.00325361[/C][/ROW]
[ROW][C]259[/C][C]0.993759[/C][C]0.012483[/C][C]0.0062415[/C][/ROW]
[ROW][C]260[/C][C]0.989562[/C][C]0.0208763[/C][C]0.0104381[/C][/ROW]
[ROW][C]261[/C][C]0.980907[/C][C]0.0381864[/C][C]0.0190932[/C][/ROW]
[ROW][C]262[/C][C]0.969174[/C][C]0.0616521[/C][C]0.0308261[/C][/ROW]
[ROW][C]263[/C][C]0.972629[/C][C]0.0547412[/C][C]0.0273706[/C][/ROW]
[ROW][C]264[/C][C]0.953569[/C][C]0.0928626[/C][C]0.0464313[/C][/ROW]
[ROW][C]265[/C][C]0.928753[/C][C]0.142493[/C][C]0.0712467[/C][/ROW]
[ROW][C]266[/C][C]0.89335[/C][C]0.2133[/C][C]0.10665[/C][/ROW]
[ROW][C]267[/C][C]0.873467[/C][C]0.253067[/C][C]0.126533[/C][/ROW]
[ROW][C]268[/C][C]0.786113[/C][C]0.427774[/C][C]0.213887[/C][/ROW]
[ROW][C]269[/C][C]0.657626[/C][C]0.684749[/C][C]0.342374[/C][/ROW]
[ROW][C]270[/C][C]0.489793[/C][C]0.979585[/C][C]0.510207[/C][/ROW]
[ROW][C]271[/C][C]0.448259[/C][C]0.896519[/C][C]0.551741[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=264797&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=264797&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
89.64586e-481.92917e-471
9001
10001
111.56247e-913.12494e-911
121.46183e-1042.92367e-1041
13001
14001
155.44529e-1521.08906e-1511
160.02448660.04897330.975513
170.01313140.02626280.986869
180.01005090.02010180.989949
190.1062850.212570.893715
200.07378460.1475690.926215
210.05063110.1012620.949369
220.03778320.07556630.962217
230.0247830.0495660.975217
240.01548770.03097540.984512
250.00978490.01956980.990215
260.01011730.02023470.989883
270.05081240.1016250.949188
280.08461950.1692390.915381
290.06334220.1266840.936658
300.0479440.09588810.952056
310.03791320.07582640.962087
320.028230.05645990.97177
330.02046970.04093930.97953
340.01415860.02831710.985841
350.0116750.02334990.988325
360.009480770.01896150.990519
370.006434090.01286820.993566
380.01924090.03848180.980759
390.0135580.02711590.986442
400.01003230.02006460.989968
410.007280530.01456110.992719
420.005538890.01107780.994461
430.004144220.008288440.995856
440.002848330.005696650.997152
450.003801730.007603450.996198
460.00254530.005090590.997455
470.002362580.004725170.997637
480.008625610.01725120.991374
490.009139240.01827850.990861
500.01049690.02099380.989503
510.01860940.03721880.981391
520.02214960.04429910.97785
530.01812260.03624520.981877
540.03690970.07381930.96309
550.03692290.07384590.963077
560.03522030.07044070.96478
570.08084790.1616960.919152
580.07529620.1505920.924704
590.06993340.1398670.930067
600.07658630.1531730.923414
610.06322410.1264480.936776
620.0559210.1118420.944079
630.05468120.1093620.945319
640.04364840.08729670.956352
650.03460050.06920110.965399
660.0333470.06669410.966653
670.02660160.05320320.973398
680.02298730.04597470.977013
690.01808690.03617380.981913
700.02164830.04329660.978352
710.0169620.03392390.983038
720.0166470.03329390.983353
730.01788950.03577910.98211
740.01850310.03700620.981497
750.0166640.0333280.983336
760.01361410.02722820.986386
770.01469250.02938510.985307
780.01210710.02421420.987893
790.01166440.02332880.988336
800.01131120.02262250.988689
810.01218990.02437990.98781
820.01344470.02688930.986555
830.01344170.02688340.986558
840.01842750.0368550.981573
850.02502730.05005460.974973
860.02774630.05549250.972254
870.02471920.04943850.975281
880.02100670.04201340.978993
890.02108450.0421690.978916
900.02495890.04991770.975041
910.02060130.04120250.979399
920.02707520.05415040.972925
930.04174720.08349450.958253
940.0409110.08182190.959089
950.0415680.0831360.958432
960.0493730.09874610.950627
970.06565310.1313060.934347
980.06200150.1240030.937998
990.05619030.1123810.94381
1000.06260880.1252180.937391
1010.05430250.1086050.945698
1020.05406330.1081270.945937
1030.05033750.1006750.949662
1040.06509620.1301920.934904
1050.05981320.1196260.940187
1060.06205190.1241040.937948
1070.05633680.1126740.943663
1080.05967120.1193420.940329
1090.05193010.103860.94807
1100.05271890.1054380.947281
1110.05922670.1184530.940773
1120.05788660.1157730.942113
1130.1014970.2029940.898503
1140.1947480.3894970.805252
1150.1950230.3900460.804977
1160.1861270.3722530.813873
1170.1900570.3801150.809943
1180.1707140.3414280.829286
1190.1493390.2986790.850661
1200.1402090.2804190.859791
1210.1285560.2571130.871444
1220.2017060.4034120.798294
1230.1975510.3951020.802449
1240.3512430.7024870.648757
1250.3735390.7470780.626461
1260.3868610.7737230.613139
1270.3741160.7482320.625884
1280.403840.807680.59616
1290.4314610.8629230.568539
1300.4594480.9188970.540552
1310.4686920.9373850.531308
1320.4385890.8771780.561411
1330.4520050.9040090.547995
1340.4726690.9453380.527331
1350.5372850.925430.462715
1360.5940220.8119570.405978
1370.6044510.7910980.395549
1380.7322280.5355440.267772
1390.7197090.5605820.280291
1400.7342810.5314370.265719
1410.7164050.5671890.283595
1420.6901870.6196250.309813
1430.6685680.6628650.331432
1440.6766390.6467220.323361
1450.6586560.6826880.341344
1460.6510270.6979460.348973
1470.6524440.6951120.347556
1480.6714540.6570910.328546
1490.6657670.6684650.334233
1500.6384320.7231360.361568
1510.6099130.7801730.390087
1520.6385130.7229730.361487
1530.6214530.7570930.378547
1540.5918030.8163950.408197
1550.5699590.8600820.430041
1560.5602390.8795210.439761
1570.547030.905940.45297
1580.5719250.8561510.428075
1590.5847020.8305960.415298
1600.5682570.8634860.431743
1610.5777240.8445520.422276
1620.560880.8782390.43912
1630.5333910.9332180.466609
1640.8736690.2526610.126331
1650.9065160.1869690.0934843
1660.8921470.2157050.107853
1670.8948860.2102290.105114
1680.8893870.2212260.110613
1690.8849060.2301870.115094
1700.8781920.2436150.121808
1710.8711620.2576750.128838
1720.8678870.2642260.132113
1730.9024220.1951570.0975783
1740.886960.226080.11304
1750.86980.26040.1302
1760.8635070.2729850.136493
1770.8655910.2688170.134409
1780.8611870.2776250.138813
1790.8989160.2021680.101084
1800.9383680.1232640.0616319
1810.9341110.1317790.0658895
1820.9444680.1110640.0555321
1830.9422610.1154790.0577394
1840.9397450.120510.0602549
1850.9712610.05747790.028739
1860.9705190.05896230.0294811
1870.9672780.06544490.0327225
1880.973240.05352030.0267602
1890.980450.03909950.0195497
1900.9757360.04852870.0242644
1910.9710030.05799430.0289972
1920.9697820.06043590.0302179
1930.9665240.06695180.0334759
1940.9622530.07549320.0377466
1950.9549650.09006910.0450345
1960.945770.108460.0542298
1970.9358340.1283330.0641664
1980.9271020.1457950.0728976
1990.9140190.1719630.0859813
2000.9092540.1814930.0907463
2010.9047660.1904680.0952341
2020.8875990.2248020.112401
2030.8719670.2560670.128033
2040.8797660.2404680.120234
2050.8720520.2558960.127948
2060.8513630.2972730.148637
2070.9365050.1269910.0634954
2080.9240080.1519850.0759923
2090.9206830.1586330.0793166
2100.9099420.1801160.0900578
2110.8940460.2119090.105954
2120.8759450.248110.124055
2130.8796110.2407770.120389
2140.8607510.2784980.139249
2150.8408330.3183340.159167
2160.858060.283880.14194
2170.8395070.3209870.160493
2180.8120470.3759060.187953
2190.7820230.4359540.217977
2200.7821790.4356410.217821
2210.7768630.4462740.223137
2220.7446730.5106540.255327
2230.7493560.5012890.250644
2240.7601080.4797840.239892
2250.7402380.5195250.259762
2260.7155920.5688160.284408
2270.7462250.507550.253775
2280.7105090.5789830.289491
2290.7584710.4830580.241529
2300.7868670.4262660.213133
2310.8068480.3863030.193152
2320.8388940.3222110.161106
2330.8165190.3669610.183481
2340.7828360.4343290.217164
2350.8074870.3850250.192513
2360.8199710.3600590.180029
2370.7896490.4207020.210351
2380.7686150.4627710.231385
2390.9569310.08613860.0430693
2400.9452670.1094660.0547331
2410.9617340.07653150.0382658
2420.9485490.1029030.0514514
2430.9355850.128830.0644149
2440.9610740.07785190.0389259
2450.9515090.09698130.0484906
2460.9508060.09838820.0491941
2470.9458030.1083930.0541966
2480.9603510.07929840.0396492
2490.977740.04451990.02226
2500.9844310.03113820.0155691
2510.9806560.03868890.0193444
2520.9974090.005181660.00259083
2530.9955050.008989070.00449454
2540.9932750.01344970.00672485
2550.9918720.0162570.0081285
2560.9865060.02698810.013494
2570.9787570.04248670.0212434
2580.9967460.006507220.00325361
2590.9937590.0124830.0062415
2600.9895620.02087630.0104381
2610.9809070.03818640.0190932
2620.9691740.06165210.0308261
2630.9726290.05474120.0273706
2640.9535690.09286260.0464313
2650.9287530.1424930.0712467
2660.893350.21330.10665
2670.8734670.2530670.126533
2680.7861130.4277740.213887
2690.6576260.6847490.342374
2700.4897930.9795850.510207
2710.4482590.8965190.551741






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level160.0606061NOK
5% type I error level730.276515NOK
10% type I error level1090.412879NOK

\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 & 16 & 0.0606061 & NOK \tabularnewline
5% type I error level & 73 & 0.276515 & NOK \tabularnewline
10% type I error level & 109 & 0.412879 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=264797&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]16[/C][C]0.0606061[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]73[/C][C]0.276515[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]109[/C][C]0.412879[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=264797&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=264797&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 level160.0606061NOK
5% type I error level730.276515NOK
10% type I error level1090.412879NOK


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')
}