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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, 16 Dec 2014 12:16:57 +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/16/t1418732233fco89fd1mjcpwrw.htm/, Retrieved Thu, 16 May 2024 14:29:57 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=269399, Retrieved Thu, 16 May 2024 14:29:57 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact64

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Multiple Regression] [] [2014-12-16 12:16:57] [6e8ac1d1765f9a3eaeef7407a694f46f] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0.67 2 149 12.9 68
0.83 1 139 12.2 39
1 2 148 12.8 32
0.83 0 158 7.4 62
0.67 0 128 6.7 33
0 0 224 12.6 52
0.83 2 159 14.8 62
0.5 2 105 13.3 77
0.83 0 159 11.1 76
0.33 2 167 8.2 41
0.5 3 165 11.4 48
0.67 0 159 6.4 63
1 0 119 10.6 30
0.5 2 176 12 78
0.67 1 54 6.3 19
0.17 2 91 11.3 31
0.83 1 163 11.9 66
0.67 1 124 9.3 35
0.67 1 137 9.6 42
0.67 0 121 10 45
0.5 2 153 6.4 21
1 1 148 13.8 25
0.83 1 221 10.8 44
0.83 1 188 13.8 69
1 2 149 11.7 54
0.67 0 244 10.9 74
1 1 148 16.1 80
0.83 2 92 13.4 42
1 3 150 9.9 61
0.83 2 153 11.5 41
0.67 1 94 8.3 46
0.67 0 156 11.7 39
1 2 132 9 34
0.67 2 161 9.7 51
1 3 105 10.8 42
1 3 97 10.3 31
0.5 1 151 10.4 39
0.67 0 131 12.7 20
0.83 2 166 9.3 49
1 2 157 11.8 53
1 2 111 5.9 31
1 2 145 11.4 39
1 1 162 13 54
1 3 163 10.8 49
0.83 2 59 12.3 34
0.83 2 187 11.3 46
0.5 0 109 11.8 55
0.83 0 90 7.9 42
0.17 0 105 12.7 50
0.83 3 83 12.3 13
1 2 116 11.6 37
1 0 42 6.7 25
0.67 2 148 10.9 30
1 0 155 12.1 28
1 0 125 13.3 45
1 2 116 10.1 35
0.83 3 128 5.7 28
0.33 0 138 14.3 41
0.33 1 49 8 6
1 2 96 13.3 45
1 2 164 9.3 73
0.83 0 162 12.5 17
1 3 99 7.6 40
0.83 2 202 15.9 64
0.67 0 186 9.2 37
0.83 3 66 9.1 25
0.67 2 183 11.1 65
0.83 2 214 13 100
0.67 3 188 14.5 28
1 0 104 12.2 35
0.83 1 177 12.3 56
0.67 2 126 11.4 29
0.83 1 76 8.8 43
0.83 2 99 14.6 59
0.67 0 139 12.6 50
1 3 78 NA 3
0.33 0 162 13 59
0.83 2 108 12.6 27
1 1 159 13.2 61
0.83 0 74 9.9 28
0.83 0 110 7.7 51
0.5 1 96 10.5 35
0.5 0 116 13.4 29
0.83 2 87 10.9 48
1 1 97 4.3 25
0.33 2 127 10.3 44
1 1 106 11.8 64
0.67 1 80 11.2 32
0.83 3 74 11.4 20
1 2 91 8.6 28
0.83 0 133 13.2 34
0.83 2 74 12.6 31
1 1 114 5.6 26
0.83 0 140 9.9 58
1 1 95 8.8 23
0.83 0 98 7.7 21
0.67 0 121 9 21
0.83 1 126 7.3 33
0.83 2 98 11.4 16
0.83 2 95 13.6 20
0.83 2 110 7.9 37
0.67 2 70 10.7 35
0.83 3 102 10.3 33
0 0 86 8.3 27
0.83 0 130 9.6 41
1 0 96 14.2 40
0.17 0 102 8.5 35
0.17 0 100 13.5 28
0.5 3 94 4.9 32
0.5 2 52 6.4 22
1 0 98 9.6 44
0.67 2 118 11.6 27
0.83 2 99 11.1 17
1 0 48 4.35 12
1 2 50 12.7 45
1 1 150 18.1 37
1 3 154 17.85 37
1 3 109 16.6 108
1 0 68 12.6 10
0.83 3 194 17.1 68
1 2 158 19.1 72
0.83 2 159 16.1 143
1 0 67 13.35 9
0.83 2 147 18.4 55
0.83 3 39 14.7 17
1 2 100 10.6 37
0.67 0 111 12.6 27
0.83 0 138 16.2 37
1 0 101 13.6 58
1 1 131 18.9 66
0.83 2 101 14.1 21
1 3 114 14.5 19
1 0 165 16.15 78
1 2 114 14.75 35
0.67 2 111 14.8 48
1 1 75 12.45 27
0.83 2 82 12.65 43
1 2 121 17.35 30
1 2 32 8.6 25
0.83 2 150 18.4 69
0.67 2 117 16.1 72
0.83 2 71 11.6 23
1 1 165 17.75 13
0 0 154 15.25 61
1 2 126 17.65 43
1 0 149 16.35 51
0.67 2 145 17.65 67
1 0 120 13.6 36
0.83 0 109 14.35 44
0.17 0 132 14.75 45
0.83 3 172 18.25 34
0.83 0 169 9.9 36
0.83 2 114 16 72
0.83 3 156 18.25 39
0.83 0 172 16.85 43
1 2 68 14.6 25
0.83 0 89 13.85 56
1 3 167 18.95 80
0.83 2 113 15.6 40
1 2 115 14.85 73
0.83 2 78 11.75 34
1 3 118 18.45 72
0.83 3 87 15.9 42
0.83 3 173 17.1 61
1 2 2 16.1 23
1 3 162 19.9 74
1 1 49 10.95 16
1 2 122 18.45 66
1 3 96 15.1 9
1 2 100 15 41
1 2 82 11.35 57
1 2 100 15.95 48
0.83 1 115 18.1 51
1 3 141 14.6 53
1 2 165 15.4 29
1 2 165 15.4 29
1 1 110 17.6 55
0.83 1 118 13.35 54
0.5 0 158 19.1 43
0.67 1 146 15.35 51
1 1 49 7.6 20
0.67 2 90 13.4 79
1 0 121 13.9 39
1 3 155 19.1 61
0.5 1 104 15.25 55
0.67 1 147 12.9 30
0.67 3 110 16.1 55
0.67 3 108 17.35 22
0.67 3 113 13.15 37
0.67 3 115 12.15 2
0.67 0 61 12.6 38
1 2 60 10.35 27
0.67 1 109 15.4 56
0.67 2 68 9.6 25
0.33 1 111 18.2 39
0.83 1 77 13.6 33
1 3 73 14.85 43
1 1 151 14.75 57
0.17 0 89 14.1 43
0.67 1 78 14.9 23
0.83 1 110 16.25 44
0.83 2 220 19.25 54
1 1 65 13.6 28
0.83 0 141 13.6 36
1 2 117 15.65 39
1 2 122 12.75 16
0.83 3 63 14.6 23
0.83 0 44 9.85 40
1 2 52 12.65 24
0 0 131 19.2 78
1 1 101 16.6 57
0.83 2 42 11.2 37
1 1 152 15.25 27
0.33 0 107 11.9 61
0.83 0 77 13.2 27
0.83 2 154 16.35 69
0.17 0 103 12.4 34
0.83 1 96 15.85 44
0.83 2 175 18.15 34
0.67 2 57 11.15 39
1 3 112 15.65 51
0.83 0 143 17.75 34
1 0 49 7.65 31
1 2 110 12.35 13
1 0 131 15.6 12
1 3 167 19.3 51
0.83 2 56 15.2 24
1 1 137 17.1 19
0.83 3 86 15.6 30
0.83 2 121 18.4 81
0.83 2 149 19.05 42
0 0 168 18.55 22
1 1 140 19.1 85
1 2 88 13.1 27
1 2 168 12.85 25
0 0 94 9.5 22
0.83 3 51 4.5 19
0.83 1 48 11.85 14
0.83 0 145 13.6 45
0 0 66 11.7 45
0.67 0 85 12.4 28
1 2 109 13.35 51
0.67 0 63 11.4 41
0.83 2 102 14.9 31
1 3 162 19.9 74
1 2 86 11.2 19
1 1 114 14.6 51
0.83 1 164 17.6 73
0.83 1 119 14.05 24
1 0 126 16.1 61
1 1 132 13.35 23
1 0 142 11.85 14
0.67 2 83 11.95 54
0.83 3 94 14.75 51
0.33 1 81 15.15 62
1 2 166 13.2 36
1 3 110 16.85 59
0.67 3 64 7.85 24
1 1 93 7.7 26
0.83 1 104 12.6 54
0.67 0 105 7.85 39
1 1 49 10.95 16
1 3 88 12.35 36
0.17 0 95 9.95 31
0.83 2 102 14.9 31
0.83 2 99 16.65 42
1 2 63 13.4 39
0.67 2 76 13.95 25
0.5 0 109 15.7 31
0.67 3 117 16.85 38
0.83 2 57 10.95 31
0.83 0 120 15.35 17
1 2 73 12.2 22
0.17 0 91 15.1 55
1 2 108 17.75 62
0.67 2 105 15.2 51
0.67 3 117 14.6 30
0.83 2 119 16.65 49
0.5 2 31 8.1 16

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'Herman Ole Andreas Wold' @ wold.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 & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=269399&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]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=269399&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=269399&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'Herman Ole Andreas Wold' @ wold.wessa.net






Multiple Linear Regression - Estimated Regression Equation
TOT[t] = + 7.65208 + 1.03207Graphical_Interpretation[t] + 0.445974Proportionality_and_Ratio[t] + 0.0158027LFM[t] + 0.0490994CH[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
TOT[t] =  +  7.65208 +  1.03207Graphical_Interpretation[t] +  0.445974Proportionality_and_Ratio[t] +  0.0158027LFM[t] +  0.0490994CH[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=269399&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]TOT[t] =  +  7.65208 +  1.03207Graphical_Interpretation[t] +  0.445974Proportionality_and_Ratio[t] +  0.0158027LFM[t] +  0.0490994CH[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=269399&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=269399&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
TOT[t] = + 7.65208 + 1.03207Graphical_Interpretation[t] + 0.445974Proportionality_and_Ratio[t] + 0.0158027LFM[t] + 0.0490994CH[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)7.652080.865448.8421.19136e-165.95679e-17
Graphical_Interpretation1.032070.8043511.2830.2005420.100271
Proportionality_and_Ratio0.4459740.1841272.4220.01608250.00804125
LFM0.01580270.005202713.0370.002617260.00130863
CH0.04909940.01088624.519.62513e-064.81256e-06

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Ordinary Least Squares \tabularnewline
Variable & Parameter & S.D. & T-STATH0: parameter = 0 & 2-tail p-value & 1-tail p-value \tabularnewline
(Intercept) & 7.65208 & 0.86544 & 8.842 & 1.19136e-16 & 5.95679e-17 \tabularnewline
Graphical_Interpretation & 1.03207 & 0.804351 & 1.283 & 0.200542 & 0.100271 \tabularnewline
Proportionality_and_Ratio & 0.445974 & 0.184127 & 2.422 & 0.0160825 & 0.00804125 \tabularnewline
LFM & 0.0158027 & 0.00520271 & 3.037 & 0.00261726 & 0.00130863 \tabularnewline
CH & 0.0490994 & 0.0108862 & 4.51 & 9.62513e-06 & 4.81256e-06 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=269399&T=2

[TABLE]
[ROW][C]Multiple Linear Regression - Ordinary Least Squares[/C][/ROW]
[ROW][C]Variable[/C][C]Parameter[/C][C]S.D.[/C][C]T-STATH0: parameter = 0[/C][C]2-tail p-value[/C][C]1-tail p-value[/C][/ROW]
[ROW][C](Intercept)[/C][C]7.65208[/C][C]0.86544[/C][C]8.842[/C][C]1.19136e-16[/C][C]5.95679e-17[/C][/ROW]
[ROW][C]Graphical_Interpretation[/C][C]1.03207[/C][C]0.804351[/C][C]1.283[/C][C]0.200542[/C][C]0.100271[/C][/ROW]
[ROW][C]Proportionality_and_Ratio[/C][C]0.445974[/C][C]0.184127[/C][C]2.422[/C][C]0.0160825[/C][C]0.00804125[/C][/ROW]
[ROW][C]LFM[/C][C]0.0158027[/C][C]0.00520271[/C][C]3.037[/C][C]0.00261726[/C][C]0.00130863[/C][/ROW]
[ROW][C]CH[/C][C]0.0490994[/C][C]0.0108862[/C][C]4.51[/C][C]9.62513e-06[/C][C]4.81256e-06[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=269399&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=269399&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)7.652080.865448.8421.19136e-165.95679e-17
Graphical_Interpretation1.032070.8043511.2830.2005420.100271
Proportionality_and_Ratio0.4459740.1841272.4220.01608250.00804125
LFM0.01580270.005202713.0370.002617260.00130863
CH0.04909940.01088624.519.62513e-064.81256e-06






Multiple Linear Regression - Regression Statistics
Multiple R0.434212
R-squared0.18854
Adjusted R-squared0.176651
F-TEST (value)15.8577
F-TEST (DF numerator)4
F-TEST (DF denominator)273
p-value1.10163e-11
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation3.07999
Sum Squared Residuals2589.78

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.434212 \tabularnewline
R-squared & 0.18854 \tabularnewline
Adjusted R-squared & 0.176651 \tabularnewline
F-TEST (value) & 15.8577 \tabularnewline
F-TEST (DF numerator) & 4 \tabularnewline
F-TEST (DF denominator) & 273 \tabularnewline
p-value & 1.10163e-11 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 3.07999 \tabularnewline
Sum Squared Residuals & 2589.78 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=269399&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.434212[/C][/ROW]
[ROW][C]R-squared[/C][C]0.18854[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.176651[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]15.8577[/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]1.10163e-11[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]3.07999[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]2589.78[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=269399&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=269399&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 R0.434212
R-squared0.18854
Adjusted R-squared0.176651
F-TEST (value)15.8577
F-TEST (DF numerator)4
F-TEST (DF denominator)273
p-value1.10163e-11
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation3.07999
Sum Squared Residuals2589.78






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
112.914.9289-2.02887
212.213.0661-0.866121
312.813.4861-0.686075
47.414.0497-6.64969
56.711.9866-5.28659
612.613.7451-1.14505
714.814.9574-0.157436
813.314.5-1.2
911.114.7529-3.65288
108.213.5367-5.33673
1111.414.4703-3.07025
126.413.9495-7.54946
1310.612.0377-1.43765
141215.6711-3.67109
156.310.5758-4.27577
1611.311.6796-0.379604
1711.914.7711-2.87107
189.312.4676-3.16755
199.613.0167-3.41668
201012.4652-2.46516
216.412.509-6.10896
2213.812.69641.10359
2310.814.6074-3.80744
2413.815.3134-1.51344
2511.714.5821-2.88207
2610.915.8328-4.93278
2716.115.39690.703125
2813.412.91670.483333
299.915.3875-5.48754
3011.513.8315-2.33153
318.312.5336-4.23357
3211.712.7237-1.02366
33913.3314-4.33143
349.714.2838-4.58382
3510.813.7435-2.94353
3610.313.077-2.77701
3710.412.9152-2.51517
3812.711.39571.30429
399.314.4298-5.12976
4011.814.6594-2.85939
415.912.8523-6.95228
4211.413.7824-2.38236
431314.3415-1.34153
4410.815.0038-4.20378
4512.312.00240.297618
4611.314.6143-3.31432
4711.812.5911-0.791075
487.911.9931-4.09311
4912.711.94180.758216
5012.311.79650.503468
5111.613.2259-1.62589
526.710.5753-3.87535
5310.913.0473-2.14729
5412.112.5083-0.408349
5513.312.8690.431041
5610.113.1277-3.02769
575.713.2441-7.54414
5814.312.18652.11349
5989.50756-1.50756
6013.313.3026-0.00262779
619.315.752-6.452
6212.511.90340.596578
637.613.5505-5.95051
6415.915.73520.164849
659.213.0995-3.89954
669.112.1171-3.01708
6711.115.3189-4.21887
681317.6924-4.69236
6914.514.02720.472825
7012.212.04610.153892
7112.314.5013-2.20131
7211.412.6505-1.25053
738.812.2669-3.46695
7414.613.8620.738024
7512.612.9951-0.395111
76NANA-0.449564
771312.8330.166982
7812.614.0378-1.43782
7913.214.3529-1.15288
809.914.9511-5.05106
817.79.04962-1.34962
8210.58.525111.97489
8313.415.6322-2.23225
8410.918.4905-7.59047
854.37.05192-2.75192
8610.312.4476-2.14757
8711.812.2249-0.424935
8811.211.798-0.598004
8911.415.1889-3.78892
908.67.679830.920165
9113.212.69210.507876
9212.619.2082-6.60821
935.69.26884-3.66884
949.912.8607-2.96066
958.812.1884-3.38845
967.79.98678-2.28678
97914.2661-5.26609
987.37.6349-0.334897
9911.49.683891.71611
10013.618.6556-5.05562
1017.99.26018-1.36018
10210.713.4788-2.77877
10310.312.3368-2.03679
1048.311.2761-2.97612
1059.67.565182.03482
10614.216.8579-2.65788
1078.55.782582.71742
10813.521.1627-7.66267
1094.99.46199-4.56199
1106.49.19319-2.79319
1119.610.4259-0.825914
11211.612.2998-0.699799
11311.116.7819-5.68187
1144.354.22570.124296
11512.77.91724.7828
11618.114.52243.57764
11717.8518.2973-0.447301
11816.614.24972.35028
11912.611.75110.848899
12017.113.60813.49192
12119.121.9345-2.83449
12216.112.93483.16518
12313.359.374113.97589
12418.414.99763.40239
12514.717.073-2.37304
12610.69.423351.17665
12712.68.906153.69385
12816.215.7280.472013
12913.69.140844.45916
13018.916.82782.0722
13114.112.35651.74354
13214.513.47131.02865
13316.1514.49611.65392
13414.7513.29641.45362
13514.813.9910.808992
13612.4512.6077-0.157739
13712.658.26124.3888
13817.3520.0593-2.70927
1398.65.358913.24109
14018.416.91961.48041
14116.116.1519-0.0519207
14211.66.225865.37414
14317.7515.58082.16924
14415.2511.27853.97149
14517.6514.84282.80718
14616.3513.51662.83344
14717.6516.39811.25195
14813.611.64161.95844
14914.3511.7232.62704
15014.7510.73414.01594
15118.2521.2969-3.04693
1529.98.637311.26269
1531611.97674.02329
15418.2514.7383.51197
15516.8514.12822.72184
15614.613.41471.1853
15713.8511.48912.36093
15818.9516.50032.44968
15915.615.7277-0.127663
16014.8515.4026-0.552633
16111.758.721953.02805
16218.4515.83362.61637
16315.914.37551.52445
16417.111.7375.36301
16516.112.41553.68454
16619.919.640.259956
16710.957.244593.70541
16818.4515.3313.11898
16915.113.26941.83056
1701517.3206-2.32058
17111.358.913142.43686
17215.9511.12614.82395
17318.118.3525-0.252518
17414.612.80741.79258
17515.413.60741.79258
17615.411.36894.03111
17717.617.7208-0.120757
17813.357.026216.32379
17919.117.35081.7492
18015.3518.6364-3.28644
1817.68.73661-1.13661
18213.412.01121.38885
18313.910.26663.63345
18419.116.8082.29196
18515.2514.93550.314483
18612.910.92031.97975
18716.111.21844.88164
18817.3517.4839-0.133868
18913.1512.5970.553007
19012.1510.72331.42669
19112.614.0999-1.49994
19210.358.21162.1384
19315.417.3376-1.93758
1949.63.507616.09239
19518.216.39181.80824
19613.612.03691.56306
19714.8514.4150.435004
19814.7511.99522.75476
19914.110.35143.74857
20014.911.50333.39666
20116.2512.52863.7214
20219.2517.18212.06792
20313.612.50451.09554
20413.611.28992.31011
20515.6515.18960.460386
20612.7510.12152.62853
20714.615.918-1.31799
2089.858.776221.07378
20912.657.001995.64801
21019.216.12493.07514
21116.617.281-0.681035
21211.28.807822.39218
21315.2516.0286-0.778615
21411.99.751192.14881
21513.212.07211.12788
21616.3515.07461.27541
21712.49.18213.2179
21815.8511.53554.31451
21918.1519.0511-0.901143
22011.159.796041.35396
22115.6510.33795.31214
22217.7521.0806-3.33056
2237.657.252680.397317
22412.358.093494.25651
22515.611.46524.13481
22619.315.5643.73602
22715.210.3284.87202
22817.114.17862.92137
22915.612.48983.11018
23018.413.16745.23258
23119.0511.88717.16288
23218.5514.9663.58405
23319.118.29240.807584
23413.113.7084-0.608433
23512.8513.5677-0.717718
2369.516.5854-7.08544
2374.53.050591.44941
23811.8511.25960.590439
23913.612.80450.79547
24011.710.36161.33842
24112.412.8527-0.452659
24213.3513.30220.047789
24311.49.03462.3654
24414.911.21553.68454
24519.920.568-0.668015
24611.210.03571.1643
24714.612.13062.46943
24817.615.56362.03642
24914.0511.62042.42965
25016.115.09541.00464
25113.3513.11550.234478
25211.8513.0985-1.2485
25311.9511.03610.913859
25414.7512.36282.38718
25515.1515.9169-0.766921
25613.211.00722.19277
25716.8520.8712-4.02124
2587.8512.0264-4.17636
2597.78.34952-0.649519
26012.616.6677-4.06773
2617.857.590040.259956
26210.9511.7803-0.830285
26312.3513.2509-0.900868
2649.957.58462.3654
26514.911.27733.62271
26616.6515.73650.913458
26713.411.1142.286
26813.959.662694.28731
26915.712.24623.45382
27016.8517.7235-0.873479
27110.956.839714.11029
27215.3514.95990.390121
27312.29.066043.13396
27415.111.6773.42305
27517.7515.94891.80113
27615.213.60341.59662
27714.611.6372.96296
27816.6518.8855-2.23553
2798.1NANA

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 12.9 & 14.9289 & -2.02887 \tabularnewline
2 & 12.2 & 13.0661 & -0.866121 \tabularnewline
3 & 12.8 & 13.4861 & -0.686075 \tabularnewline
4 & 7.4 & 14.0497 & -6.64969 \tabularnewline
5 & 6.7 & 11.9866 & -5.28659 \tabularnewline
6 & 12.6 & 13.7451 & -1.14505 \tabularnewline
7 & 14.8 & 14.9574 & -0.157436 \tabularnewline
8 & 13.3 & 14.5 & -1.2 \tabularnewline
9 & 11.1 & 14.7529 & -3.65288 \tabularnewline
10 & 8.2 & 13.5367 & -5.33673 \tabularnewline
11 & 11.4 & 14.4703 & -3.07025 \tabularnewline
12 & 6.4 & 13.9495 & -7.54946 \tabularnewline
13 & 10.6 & 12.0377 & -1.43765 \tabularnewline
14 & 12 & 15.6711 & -3.67109 \tabularnewline
15 & 6.3 & 10.5758 & -4.27577 \tabularnewline
16 & 11.3 & 11.6796 & -0.379604 \tabularnewline
17 & 11.9 & 14.7711 & -2.87107 \tabularnewline
18 & 9.3 & 12.4676 & -3.16755 \tabularnewline
19 & 9.6 & 13.0167 & -3.41668 \tabularnewline
20 & 10 & 12.4652 & -2.46516 \tabularnewline
21 & 6.4 & 12.509 & -6.10896 \tabularnewline
22 & 13.8 & 12.6964 & 1.10359 \tabularnewline
23 & 10.8 & 14.6074 & -3.80744 \tabularnewline
24 & 13.8 & 15.3134 & -1.51344 \tabularnewline
25 & 11.7 & 14.5821 & -2.88207 \tabularnewline
26 & 10.9 & 15.8328 & -4.93278 \tabularnewline
27 & 16.1 & 15.3969 & 0.703125 \tabularnewline
28 & 13.4 & 12.9167 & 0.483333 \tabularnewline
29 & 9.9 & 15.3875 & -5.48754 \tabularnewline
30 & 11.5 & 13.8315 & -2.33153 \tabularnewline
31 & 8.3 & 12.5336 & -4.23357 \tabularnewline
32 & 11.7 & 12.7237 & -1.02366 \tabularnewline
33 & 9 & 13.3314 & -4.33143 \tabularnewline
34 & 9.7 & 14.2838 & -4.58382 \tabularnewline
35 & 10.8 & 13.7435 & -2.94353 \tabularnewline
36 & 10.3 & 13.077 & -2.77701 \tabularnewline
37 & 10.4 & 12.9152 & -2.51517 \tabularnewline
38 & 12.7 & 11.3957 & 1.30429 \tabularnewline
39 & 9.3 & 14.4298 & -5.12976 \tabularnewline
40 & 11.8 & 14.6594 & -2.85939 \tabularnewline
41 & 5.9 & 12.8523 & -6.95228 \tabularnewline
42 & 11.4 & 13.7824 & -2.38236 \tabularnewline
43 & 13 & 14.3415 & -1.34153 \tabularnewline
44 & 10.8 & 15.0038 & -4.20378 \tabularnewline
45 & 12.3 & 12.0024 & 0.297618 \tabularnewline
46 & 11.3 & 14.6143 & -3.31432 \tabularnewline
47 & 11.8 & 12.5911 & -0.791075 \tabularnewline
48 & 7.9 & 11.9931 & -4.09311 \tabularnewline
49 & 12.7 & 11.9418 & 0.758216 \tabularnewline
50 & 12.3 & 11.7965 & 0.503468 \tabularnewline
51 & 11.6 & 13.2259 & -1.62589 \tabularnewline
52 & 6.7 & 10.5753 & -3.87535 \tabularnewline
53 & 10.9 & 13.0473 & -2.14729 \tabularnewline
54 & 12.1 & 12.5083 & -0.408349 \tabularnewline
55 & 13.3 & 12.869 & 0.431041 \tabularnewline
56 & 10.1 & 13.1277 & -3.02769 \tabularnewline
57 & 5.7 & 13.2441 & -7.54414 \tabularnewline
58 & 14.3 & 12.1865 & 2.11349 \tabularnewline
59 & 8 & 9.50756 & -1.50756 \tabularnewline
60 & 13.3 & 13.3026 & -0.00262779 \tabularnewline
61 & 9.3 & 15.752 & -6.452 \tabularnewline
62 & 12.5 & 11.9034 & 0.596578 \tabularnewline
63 & 7.6 & 13.5505 & -5.95051 \tabularnewline
64 & 15.9 & 15.7352 & 0.164849 \tabularnewline
65 & 9.2 & 13.0995 & -3.89954 \tabularnewline
66 & 9.1 & 12.1171 & -3.01708 \tabularnewline
67 & 11.1 & 15.3189 & -4.21887 \tabularnewline
68 & 13 & 17.6924 & -4.69236 \tabularnewline
69 & 14.5 & 14.0272 & 0.472825 \tabularnewline
70 & 12.2 & 12.0461 & 0.153892 \tabularnewline
71 & 12.3 & 14.5013 & -2.20131 \tabularnewline
72 & 11.4 & 12.6505 & -1.25053 \tabularnewline
73 & 8.8 & 12.2669 & -3.46695 \tabularnewline
74 & 14.6 & 13.862 & 0.738024 \tabularnewline
75 & 12.6 & 12.9951 & -0.395111 \tabularnewline
76 & NA & NA & -0.449564 \tabularnewline
77 & 13 & 12.833 & 0.166982 \tabularnewline
78 & 12.6 & 14.0378 & -1.43782 \tabularnewline
79 & 13.2 & 14.3529 & -1.15288 \tabularnewline
80 & 9.9 & 14.9511 & -5.05106 \tabularnewline
81 & 7.7 & 9.04962 & -1.34962 \tabularnewline
82 & 10.5 & 8.52511 & 1.97489 \tabularnewline
83 & 13.4 & 15.6322 & -2.23225 \tabularnewline
84 & 10.9 & 18.4905 & -7.59047 \tabularnewline
85 & 4.3 & 7.05192 & -2.75192 \tabularnewline
86 & 10.3 & 12.4476 & -2.14757 \tabularnewline
87 & 11.8 & 12.2249 & -0.424935 \tabularnewline
88 & 11.2 & 11.798 & -0.598004 \tabularnewline
89 & 11.4 & 15.1889 & -3.78892 \tabularnewline
90 & 8.6 & 7.67983 & 0.920165 \tabularnewline
91 & 13.2 & 12.6921 & 0.507876 \tabularnewline
92 & 12.6 & 19.2082 & -6.60821 \tabularnewline
93 & 5.6 & 9.26884 & -3.66884 \tabularnewline
94 & 9.9 & 12.8607 & -2.96066 \tabularnewline
95 & 8.8 & 12.1884 & -3.38845 \tabularnewline
96 & 7.7 & 9.98678 & -2.28678 \tabularnewline
97 & 9 & 14.2661 & -5.26609 \tabularnewline
98 & 7.3 & 7.6349 & -0.334897 \tabularnewline
99 & 11.4 & 9.68389 & 1.71611 \tabularnewline
100 & 13.6 & 18.6556 & -5.05562 \tabularnewline
101 & 7.9 & 9.26018 & -1.36018 \tabularnewline
102 & 10.7 & 13.4788 & -2.77877 \tabularnewline
103 & 10.3 & 12.3368 & -2.03679 \tabularnewline
104 & 8.3 & 11.2761 & -2.97612 \tabularnewline
105 & 9.6 & 7.56518 & 2.03482 \tabularnewline
106 & 14.2 & 16.8579 & -2.65788 \tabularnewline
107 & 8.5 & 5.78258 & 2.71742 \tabularnewline
108 & 13.5 & 21.1627 & -7.66267 \tabularnewline
109 & 4.9 & 9.46199 & -4.56199 \tabularnewline
110 & 6.4 & 9.19319 & -2.79319 \tabularnewline
111 & 9.6 & 10.4259 & -0.825914 \tabularnewline
112 & 11.6 & 12.2998 & -0.699799 \tabularnewline
113 & 11.1 & 16.7819 & -5.68187 \tabularnewline
114 & 4.35 & 4.2257 & 0.124296 \tabularnewline
115 & 12.7 & 7.9172 & 4.7828 \tabularnewline
116 & 18.1 & 14.5224 & 3.57764 \tabularnewline
117 & 17.85 & 18.2973 & -0.447301 \tabularnewline
118 & 16.6 & 14.2497 & 2.35028 \tabularnewline
119 & 12.6 & 11.7511 & 0.848899 \tabularnewline
120 & 17.1 & 13.6081 & 3.49192 \tabularnewline
121 & 19.1 & 21.9345 & -2.83449 \tabularnewline
122 & 16.1 & 12.9348 & 3.16518 \tabularnewline
123 & 13.35 & 9.37411 & 3.97589 \tabularnewline
124 & 18.4 & 14.9976 & 3.40239 \tabularnewline
125 & 14.7 & 17.073 & -2.37304 \tabularnewline
126 & 10.6 & 9.42335 & 1.17665 \tabularnewline
127 & 12.6 & 8.90615 & 3.69385 \tabularnewline
128 & 16.2 & 15.728 & 0.472013 \tabularnewline
129 & 13.6 & 9.14084 & 4.45916 \tabularnewline
130 & 18.9 & 16.8278 & 2.0722 \tabularnewline
131 & 14.1 & 12.3565 & 1.74354 \tabularnewline
132 & 14.5 & 13.4713 & 1.02865 \tabularnewline
133 & 16.15 & 14.4961 & 1.65392 \tabularnewline
134 & 14.75 & 13.2964 & 1.45362 \tabularnewline
135 & 14.8 & 13.991 & 0.808992 \tabularnewline
136 & 12.45 & 12.6077 & -0.157739 \tabularnewline
137 & 12.65 & 8.2612 & 4.3888 \tabularnewline
138 & 17.35 & 20.0593 & -2.70927 \tabularnewline
139 & 8.6 & 5.35891 & 3.24109 \tabularnewline
140 & 18.4 & 16.9196 & 1.48041 \tabularnewline
141 & 16.1 & 16.1519 & -0.0519207 \tabularnewline
142 & 11.6 & 6.22586 & 5.37414 \tabularnewline
143 & 17.75 & 15.5808 & 2.16924 \tabularnewline
144 & 15.25 & 11.2785 & 3.97149 \tabularnewline
145 & 17.65 & 14.8428 & 2.80718 \tabularnewline
146 & 16.35 & 13.5166 & 2.83344 \tabularnewline
147 & 17.65 & 16.3981 & 1.25195 \tabularnewline
148 & 13.6 & 11.6416 & 1.95844 \tabularnewline
149 & 14.35 & 11.723 & 2.62704 \tabularnewline
150 & 14.75 & 10.7341 & 4.01594 \tabularnewline
151 & 18.25 & 21.2969 & -3.04693 \tabularnewline
152 & 9.9 & 8.63731 & 1.26269 \tabularnewline
153 & 16 & 11.9767 & 4.02329 \tabularnewline
154 & 18.25 & 14.738 & 3.51197 \tabularnewline
155 & 16.85 & 14.1282 & 2.72184 \tabularnewline
156 & 14.6 & 13.4147 & 1.1853 \tabularnewline
157 & 13.85 & 11.4891 & 2.36093 \tabularnewline
158 & 18.95 & 16.5003 & 2.44968 \tabularnewline
159 & 15.6 & 15.7277 & -0.127663 \tabularnewline
160 & 14.85 & 15.4026 & -0.552633 \tabularnewline
161 & 11.75 & 8.72195 & 3.02805 \tabularnewline
162 & 18.45 & 15.8336 & 2.61637 \tabularnewline
163 & 15.9 & 14.3755 & 1.52445 \tabularnewline
164 & 17.1 & 11.737 & 5.36301 \tabularnewline
165 & 16.1 & 12.4155 & 3.68454 \tabularnewline
166 & 19.9 & 19.64 & 0.259956 \tabularnewline
167 & 10.95 & 7.24459 & 3.70541 \tabularnewline
168 & 18.45 & 15.331 & 3.11898 \tabularnewline
169 & 15.1 & 13.2694 & 1.83056 \tabularnewline
170 & 15 & 17.3206 & -2.32058 \tabularnewline
171 & 11.35 & 8.91314 & 2.43686 \tabularnewline
172 & 15.95 & 11.1261 & 4.82395 \tabularnewline
173 & 18.1 & 18.3525 & -0.252518 \tabularnewline
174 & 14.6 & 12.8074 & 1.79258 \tabularnewline
175 & 15.4 & 13.6074 & 1.79258 \tabularnewline
176 & 15.4 & 11.3689 & 4.03111 \tabularnewline
177 & 17.6 & 17.7208 & -0.120757 \tabularnewline
178 & 13.35 & 7.02621 & 6.32379 \tabularnewline
179 & 19.1 & 17.3508 & 1.7492 \tabularnewline
180 & 15.35 & 18.6364 & -3.28644 \tabularnewline
181 & 7.6 & 8.73661 & -1.13661 \tabularnewline
182 & 13.4 & 12.0112 & 1.38885 \tabularnewline
183 & 13.9 & 10.2666 & 3.63345 \tabularnewline
184 & 19.1 & 16.808 & 2.29196 \tabularnewline
185 & 15.25 & 14.9355 & 0.314483 \tabularnewline
186 & 12.9 & 10.9203 & 1.97975 \tabularnewline
187 & 16.1 & 11.2184 & 4.88164 \tabularnewline
188 & 17.35 & 17.4839 & -0.133868 \tabularnewline
189 & 13.15 & 12.597 & 0.553007 \tabularnewline
190 & 12.15 & 10.7233 & 1.42669 \tabularnewline
191 & 12.6 & 14.0999 & -1.49994 \tabularnewline
192 & 10.35 & 8.2116 & 2.1384 \tabularnewline
193 & 15.4 & 17.3376 & -1.93758 \tabularnewline
194 & 9.6 & 3.50761 & 6.09239 \tabularnewline
195 & 18.2 & 16.3918 & 1.80824 \tabularnewline
196 & 13.6 & 12.0369 & 1.56306 \tabularnewline
197 & 14.85 & 14.415 & 0.435004 \tabularnewline
198 & 14.75 & 11.9952 & 2.75476 \tabularnewline
199 & 14.1 & 10.3514 & 3.74857 \tabularnewline
200 & 14.9 & 11.5033 & 3.39666 \tabularnewline
201 & 16.25 & 12.5286 & 3.7214 \tabularnewline
202 & 19.25 & 17.1821 & 2.06792 \tabularnewline
203 & 13.6 & 12.5045 & 1.09554 \tabularnewline
204 & 13.6 & 11.2899 & 2.31011 \tabularnewline
205 & 15.65 & 15.1896 & 0.460386 \tabularnewline
206 & 12.75 & 10.1215 & 2.62853 \tabularnewline
207 & 14.6 & 15.918 & -1.31799 \tabularnewline
208 & 9.85 & 8.77622 & 1.07378 \tabularnewline
209 & 12.65 & 7.00199 & 5.64801 \tabularnewline
210 & 19.2 & 16.1249 & 3.07514 \tabularnewline
211 & 16.6 & 17.281 & -0.681035 \tabularnewline
212 & 11.2 & 8.80782 & 2.39218 \tabularnewline
213 & 15.25 & 16.0286 & -0.778615 \tabularnewline
214 & 11.9 & 9.75119 & 2.14881 \tabularnewline
215 & 13.2 & 12.0721 & 1.12788 \tabularnewline
216 & 16.35 & 15.0746 & 1.27541 \tabularnewline
217 & 12.4 & 9.1821 & 3.2179 \tabularnewline
218 & 15.85 & 11.5355 & 4.31451 \tabularnewline
219 & 18.15 & 19.0511 & -0.901143 \tabularnewline
220 & 11.15 & 9.79604 & 1.35396 \tabularnewline
221 & 15.65 & 10.3379 & 5.31214 \tabularnewline
222 & 17.75 & 21.0806 & -3.33056 \tabularnewline
223 & 7.65 & 7.25268 & 0.397317 \tabularnewline
224 & 12.35 & 8.09349 & 4.25651 \tabularnewline
225 & 15.6 & 11.4652 & 4.13481 \tabularnewline
226 & 19.3 & 15.564 & 3.73602 \tabularnewline
227 & 15.2 & 10.328 & 4.87202 \tabularnewline
228 & 17.1 & 14.1786 & 2.92137 \tabularnewline
229 & 15.6 & 12.4898 & 3.11018 \tabularnewline
230 & 18.4 & 13.1674 & 5.23258 \tabularnewline
231 & 19.05 & 11.8871 & 7.16288 \tabularnewline
232 & 18.55 & 14.966 & 3.58405 \tabularnewline
233 & 19.1 & 18.2924 & 0.807584 \tabularnewline
234 & 13.1 & 13.7084 & -0.608433 \tabularnewline
235 & 12.85 & 13.5677 & -0.717718 \tabularnewline
236 & 9.5 & 16.5854 & -7.08544 \tabularnewline
237 & 4.5 & 3.05059 & 1.44941 \tabularnewline
238 & 11.85 & 11.2596 & 0.590439 \tabularnewline
239 & 13.6 & 12.8045 & 0.79547 \tabularnewline
240 & 11.7 & 10.3616 & 1.33842 \tabularnewline
241 & 12.4 & 12.8527 & -0.452659 \tabularnewline
242 & 13.35 & 13.3022 & 0.047789 \tabularnewline
243 & 11.4 & 9.0346 & 2.3654 \tabularnewline
244 & 14.9 & 11.2155 & 3.68454 \tabularnewline
245 & 19.9 & 20.568 & -0.668015 \tabularnewline
246 & 11.2 & 10.0357 & 1.1643 \tabularnewline
247 & 14.6 & 12.1306 & 2.46943 \tabularnewline
248 & 17.6 & 15.5636 & 2.03642 \tabularnewline
249 & 14.05 & 11.6204 & 2.42965 \tabularnewline
250 & 16.1 & 15.0954 & 1.00464 \tabularnewline
251 & 13.35 & 13.1155 & 0.234478 \tabularnewline
252 & 11.85 & 13.0985 & -1.2485 \tabularnewline
253 & 11.95 & 11.0361 & 0.913859 \tabularnewline
254 & 14.75 & 12.3628 & 2.38718 \tabularnewline
255 & 15.15 & 15.9169 & -0.766921 \tabularnewline
256 & 13.2 & 11.0072 & 2.19277 \tabularnewline
257 & 16.85 & 20.8712 & -4.02124 \tabularnewline
258 & 7.85 & 12.0264 & -4.17636 \tabularnewline
259 & 7.7 & 8.34952 & -0.649519 \tabularnewline
260 & 12.6 & 16.6677 & -4.06773 \tabularnewline
261 & 7.85 & 7.59004 & 0.259956 \tabularnewline
262 & 10.95 & 11.7803 & -0.830285 \tabularnewline
263 & 12.35 & 13.2509 & -0.900868 \tabularnewline
264 & 9.95 & 7.5846 & 2.3654 \tabularnewline
265 & 14.9 & 11.2773 & 3.62271 \tabularnewline
266 & 16.65 & 15.7365 & 0.913458 \tabularnewline
267 & 13.4 & 11.114 & 2.286 \tabularnewline
268 & 13.95 & 9.66269 & 4.28731 \tabularnewline
269 & 15.7 & 12.2462 & 3.45382 \tabularnewline
270 & 16.85 & 17.7235 & -0.873479 \tabularnewline
271 & 10.95 & 6.83971 & 4.11029 \tabularnewline
272 & 15.35 & 14.9599 & 0.390121 \tabularnewline
273 & 12.2 & 9.06604 & 3.13396 \tabularnewline
274 & 15.1 & 11.677 & 3.42305 \tabularnewline
275 & 17.75 & 15.9489 & 1.80113 \tabularnewline
276 & 15.2 & 13.6034 & 1.59662 \tabularnewline
277 & 14.6 & 11.637 & 2.96296 \tabularnewline
278 & 16.65 & 18.8855 & -2.23553 \tabularnewline
279 & 8.1 & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=269399&T=4

[TABLE]
[ROW][C]Multiple Linear Regression - Actuals, Interpolation, and Residuals[/C][/ROW]
[ROW][C]Time or Index[/C][C]Actuals[/C][C]InterpolationForecast[/C][C]ResidualsPrediction Error[/C][/ROW]
[ROW][C]1[/C][C]12.9[/C][C]14.9289[/C][C]-2.02887[/C][/ROW]
[ROW][C]2[/C][C]12.2[/C][C]13.0661[/C][C]-0.866121[/C][/ROW]
[ROW][C]3[/C][C]12.8[/C][C]13.4861[/C][C]-0.686075[/C][/ROW]
[ROW][C]4[/C][C]7.4[/C][C]14.0497[/C][C]-6.64969[/C][/ROW]
[ROW][C]5[/C][C]6.7[/C][C]11.9866[/C][C]-5.28659[/C][/ROW]
[ROW][C]6[/C][C]12.6[/C][C]13.7451[/C][C]-1.14505[/C][/ROW]
[ROW][C]7[/C][C]14.8[/C][C]14.9574[/C][C]-0.157436[/C][/ROW]
[ROW][C]8[/C][C]13.3[/C][C]14.5[/C][C]-1.2[/C][/ROW]
[ROW][C]9[/C][C]11.1[/C][C]14.7529[/C][C]-3.65288[/C][/ROW]
[ROW][C]10[/C][C]8.2[/C][C]13.5367[/C][C]-5.33673[/C][/ROW]
[ROW][C]11[/C][C]11.4[/C][C]14.4703[/C][C]-3.07025[/C][/ROW]
[ROW][C]12[/C][C]6.4[/C][C]13.9495[/C][C]-7.54946[/C][/ROW]
[ROW][C]13[/C][C]10.6[/C][C]12.0377[/C][C]-1.43765[/C][/ROW]
[ROW][C]14[/C][C]12[/C][C]15.6711[/C][C]-3.67109[/C][/ROW]
[ROW][C]15[/C][C]6.3[/C][C]10.5758[/C][C]-4.27577[/C][/ROW]
[ROW][C]16[/C][C]11.3[/C][C]11.6796[/C][C]-0.379604[/C][/ROW]
[ROW][C]17[/C][C]11.9[/C][C]14.7711[/C][C]-2.87107[/C][/ROW]
[ROW][C]18[/C][C]9.3[/C][C]12.4676[/C][C]-3.16755[/C][/ROW]
[ROW][C]19[/C][C]9.6[/C][C]13.0167[/C][C]-3.41668[/C][/ROW]
[ROW][C]20[/C][C]10[/C][C]12.4652[/C][C]-2.46516[/C][/ROW]
[ROW][C]21[/C][C]6.4[/C][C]12.509[/C][C]-6.10896[/C][/ROW]
[ROW][C]22[/C][C]13.8[/C][C]12.6964[/C][C]1.10359[/C][/ROW]
[ROW][C]23[/C][C]10.8[/C][C]14.6074[/C][C]-3.80744[/C][/ROW]
[ROW][C]24[/C][C]13.8[/C][C]15.3134[/C][C]-1.51344[/C][/ROW]
[ROW][C]25[/C][C]11.7[/C][C]14.5821[/C][C]-2.88207[/C][/ROW]
[ROW][C]26[/C][C]10.9[/C][C]15.8328[/C][C]-4.93278[/C][/ROW]
[ROW][C]27[/C][C]16.1[/C][C]15.3969[/C][C]0.703125[/C][/ROW]
[ROW][C]28[/C][C]13.4[/C][C]12.9167[/C][C]0.483333[/C][/ROW]
[ROW][C]29[/C][C]9.9[/C][C]15.3875[/C][C]-5.48754[/C][/ROW]
[ROW][C]30[/C][C]11.5[/C][C]13.8315[/C][C]-2.33153[/C][/ROW]
[ROW][C]31[/C][C]8.3[/C][C]12.5336[/C][C]-4.23357[/C][/ROW]
[ROW][C]32[/C][C]11.7[/C][C]12.7237[/C][C]-1.02366[/C][/ROW]
[ROW][C]33[/C][C]9[/C][C]13.3314[/C][C]-4.33143[/C][/ROW]
[ROW][C]34[/C][C]9.7[/C][C]14.2838[/C][C]-4.58382[/C][/ROW]
[ROW][C]35[/C][C]10.8[/C][C]13.7435[/C][C]-2.94353[/C][/ROW]
[ROW][C]36[/C][C]10.3[/C][C]13.077[/C][C]-2.77701[/C][/ROW]
[ROW][C]37[/C][C]10.4[/C][C]12.9152[/C][C]-2.51517[/C][/ROW]
[ROW][C]38[/C][C]12.7[/C][C]11.3957[/C][C]1.30429[/C][/ROW]
[ROW][C]39[/C][C]9.3[/C][C]14.4298[/C][C]-5.12976[/C][/ROW]
[ROW][C]40[/C][C]11.8[/C][C]14.6594[/C][C]-2.85939[/C][/ROW]
[ROW][C]41[/C][C]5.9[/C][C]12.8523[/C][C]-6.95228[/C][/ROW]
[ROW][C]42[/C][C]11.4[/C][C]13.7824[/C][C]-2.38236[/C][/ROW]
[ROW][C]43[/C][C]13[/C][C]14.3415[/C][C]-1.34153[/C][/ROW]
[ROW][C]44[/C][C]10.8[/C][C]15.0038[/C][C]-4.20378[/C][/ROW]
[ROW][C]45[/C][C]12.3[/C][C]12.0024[/C][C]0.297618[/C][/ROW]
[ROW][C]46[/C][C]11.3[/C][C]14.6143[/C][C]-3.31432[/C][/ROW]
[ROW][C]47[/C][C]11.8[/C][C]12.5911[/C][C]-0.791075[/C][/ROW]
[ROW][C]48[/C][C]7.9[/C][C]11.9931[/C][C]-4.09311[/C][/ROW]
[ROW][C]49[/C][C]12.7[/C][C]11.9418[/C][C]0.758216[/C][/ROW]
[ROW][C]50[/C][C]12.3[/C][C]11.7965[/C][C]0.503468[/C][/ROW]
[ROW][C]51[/C][C]11.6[/C][C]13.2259[/C][C]-1.62589[/C][/ROW]
[ROW][C]52[/C][C]6.7[/C][C]10.5753[/C][C]-3.87535[/C][/ROW]
[ROW][C]53[/C][C]10.9[/C][C]13.0473[/C][C]-2.14729[/C][/ROW]
[ROW][C]54[/C][C]12.1[/C][C]12.5083[/C][C]-0.408349[/C][/ROW]
[ROW][C]55[/C][C]13.3[/C][C]12.869[/C][C]0.431041[/C][/ROW]
[ROW][C]56[/C][C]10.1[/C][C]13.1277[/C][C]-3.02769[/C][/ROW]
[ROW][C]57[/C][C]5.7[/C][C]13.2441[/C][C]-7.54414[/C][/ROW]
[ROW][C]58[/C][C]14.3[/C][C]12.1865[/C][C]2.11349[/C][/ROW]
[ROW][C]59[/C][C]8[/C][C]9.50756[/C][C]-1.50756[/C][/ROW]
[ROW][C]60[/C][C]13.3[/C][C]13.3026[/C][C]-0.00262779[/C][/ROW]
[ROW][C]61[/C][C]9.3[/C][C]15.752[/C][C]-6.452[/C][/ROW]
[ROW][C]62[/C][C]12.5[/C][C]11.9034[/C][C]0.596578[/C][/ROW]
[ROW][C]63[/C][C]7.6[/C][C]13.5505[/C][C]-5.95051[/C][/ROW]
[ROW][C]64[/C][C]15.9[/C][C]15.7352[/C][C]0.164849[/C][/ROW]
[ROW][C]65[/C][C]9.2[/C][C]13.0995[/C][C]-3.89954[/C][/ROW]
[ROW][C]66[/C][C]9.1[/C][C]12.1171[/C][C]-3.01708[/C][/ROW]
[ROW][C]67[/C][C]11.1[/C][C]15.3189[/C][C]-4.21887[/C][/ROW]
[ROW][C]68[/C][C]13[/C][C]17.6924[/C][C]-4.69236[/C][/ROW]
[ROW][C]69[/C][C]14.5[/C][C]14.0272[/C][C]0.472825[/C][/ROW]
[ROW][C]70[/C][C]12.2[/C][C]12.0461[/C][C]0.153892[/C][/ROW]
[ROW][C]71[/C][C]12.3[/C][C]14.5013[/C][C]-2.20131[/C][/ROW]
[ROW][C]72[/C][C]11.4[/C][C]12.6505[/C][C]-1.25053[/C][/ROW]
[ROW][C]73[/C][C]8.8[/C][C]12.2669[/C][C]-3.46695[/C][/ROW]
[ROW][C]74[/C][C]14.6[/C][C]13.862[/C][C]0.738024[/C][/ROW]
[ROW][C]75[/C][C]12.6[/C][C]12.9951[/C][C]-0.395111[/C][/ROW]
[ROW][C]76[/C][C]NA[/C][C]NA[/C][C]-0.449564[/C][/ROW]
[ROW][C]77[/C][C]13[/C][C]12.833[/C][C]0.166982[/C][/ROW]
[ROW][C]78[/C][C]12.6[/C][C]14.0378[/C][C]-1.43782[/C][/ROW]
[ROW][C]79[/C][C]13.2[/C][C]14.3529[/C][C]-1.15288[/C][/ROW]
[ROW][C]80[/C][C]9.9[/C][C]14.9511[/C][C]-5.05106[/C][/ROW]
[ROW][C]81[/C][C]7.7[/C][C]9.04962[/C][C]-1.34962[/C][/ROW]
[ROW][C]82[/C][C]10.5[/C][C]8.52511[/C][C]1.97489[/C][/ROW]
[ROW][C]83[/C][C]13.4[/C][C]15.6322[/C][C]-2.23225[/C][/ROW]
[ROW][C]84[/C][C]10.9[/C][C]18.4905[/C][C]-7.59047[/C][/ROW]
[ROW][C]85[/C][C]4.3[/C][C]7.05192[/C][C]-2.75192[/C][/ROW]
[ROW][C]86[/C][C]10.3[/C][C]12.4476[/C][C]-2.14757[/C][/ROW]
[ROW][C]87[/C][C]11.8[/C][C]12.2249[/C][C]-0.424935[/C][/ROW]
[ROW][C]88[/C][C]11.2[/C][C]11.798[/C][C]-0.598004[/C][/ROW]
[ROW][C]89[/C][C]11.4[/C][C]15.1889[/C][C]-3.78892[/C][/ROW]
[ROW][C]90[/C][C]8.6[/C][C]7.67983[/C][C]0.920165[/C][/ROW]
[ROW][C]91[/C][C]13.2[/C][C]12.6921[/C][C]0.507876[/C][/ROW]
[ROW][C]92[/C][C]12.6[/C][C]19.2082[/C][C]-6.60821[/C][/ROW]
[ROW][C]93[/C][C]5.6[/C][C]9.26884[/C][C]-3.66884[/C][/ROW]
[ROW][C]94[/C][C]9.9[/C][C]12.8607[/C][C]-2.96066[/C][/ROW]
[ROW][C]95[/C][C]8.8[/C][C]12.1884[/C][C]-3.38845[/C][/ROW]
[ROW][C]96[/C][C]7.7[/C][C]9.98678[/C][C]-2.28678[/C][/ROW]
[ROW][C]97[/C][C]9[/C][C]14.2661[/C][C]-5.26609[/C][/ROW]
[ROW][C]98[/C][C]7.3[/C][C]7.6349[/C][C]-0.334897[/C][/ROW]
[ROW][C]99[/C][C]11.4[/C][C]9.68389[/C][C]1.71611[/C][/ROW]
[ROW][C]100[/C][C]13.6[/C][C]18.6556[/C][C]-5.05562[/C][/ROW]
[ROW][C]101[/C][C]7.9[/C][C]9.26018[/C][C]-1.36018[/C][/ROW]
[ROW][C]102[/C][C]10.7[/C][C]13.4788[/C][C]-2.77877[/C][/ROW]
[ROW][C]103[/C][C]10.3[/C][C]12.3368[/C][C]-2.03679[/C][/ROW]
[ROW][C]104[/C][C]8.3[/C][C]11.2761[/C][C]-2.97612[/C][/ROW]
[ROW][C]105[/C][C]9.6[/C][C]7.56518[/C][C]2.03482[/C][/ROW]
[ROW][C]106[/C][C]14.2[/C][C]16.8579[/C][C]-2.65788[/C][/ROW]
[ROW][C]107[/C][C]8.5[/C][C]5.78258[/C][C]2.71742[/C][/ROW]
[ROW][C]108[/C][C]13.5[/C][C]21.1627[/C][C]-7.66267[/C][/ROW]
[ROW][C]109[/C][C]4.9[/C][C]9.46199[/C][C]-4.56199[/C][/ROW]
[ROW][C]110[/C][C]6.4[/C][C]9.19319[/C][C]-2.79319[/C][/ROW]
[ROW][C]111[/C][C]9.6[/C][C]10.4259[/C][C]-0.825914[/C][/ROW]
[ROW][C]112[/C][C]11.6[/C][C]12.2998[/C][C]-0.699799[/C][/ROW]
[ROW][C]113[/C][C]11.1[/C][C]16.7819[/C][C]-5.68187[/C][/ROW]
[ROW][C]114[/C][C]4.35[/C][C]4.2257[/C][C]0.124296[/C][/ROW]
[ROW][C]115[/C][C]12.7[/C][C]7.9172[/C][C]4.7828[/C][/ROW]
[ROW][C]116[/C][C]18.1[/C][C]14.5224[/C][C]3.57764[/C][/ROW]
[ROW][C]117[/C][C]17.85[/C][C]18.2973[/C][C]-0.447301[/C][/ROW]
[ROW][C]118[/C][C]16.6[/C][C]14.2497[/C][C]2.35028[/C][/ROW]
[ROW][C]119[/C][C]12.6[/C][C]11.7511[/C][C]0.848899[/C][/ROW]
[ROW][C]120[/C][C]17.1[/C][C]13.6081[/C][C]3.49192[/C][/ROW]
[ROW][C]121[/C][C]19.1[/C][C]21.9345[/C][C]-2.83449[/C][/ROW]
[ROW][C]122[/C][C]16.1[/C][C]12.9348[/C][C]3.16518[/C][/ROW]
[ROW][C]123[/C][C]13.35[/C][C]9.37411[/C][C]3.97589[/C][/ROW]
[ROW][C]124[/C][C]18.4[/C][C]14.9976[/C][C]3.40239[/C][/ROW]
[ROW][C]125[/C][C]14.7[/C][C]17.073[/C][C]-2.37304[/C][/ROW]
[ROW][C]126[/C][C]10.6[/C][C]9.42335[/C][C]1.17665[/C][/ROW]
[ROW][C]127[/C][C]12.6[/C][C]8.90615[/C][C]3.69385[/C][/ROW]
[ROW][C]128[/C][C]16.2[/C][C]15.728[/C][C]0.472013[/C][/ROW]
[ROW][C]129[/C][C]13.6[/C][C]9.14084[/C][C]4.45916[/C][/ROW]
[ROW][C]130[/C][C]18.9[/C][C]16.8278[/C][C]2.0722[/C][/ROW]
[ROW][C]131[/C][C]14.1[/C][C]12.3565[/C][C]1.74354[/C][/ROW]
[ROW][C]132[/C][C]14.5[/C][C]13.4713[/C][C]1.02865[/C][/ROW]
[ROW][C]133[/C][C]16.15[/C][C]14.4961[/C][C]1.65392[/C][/ROW]
[ROW][C]134[/C][C]14.75[/C][C]13.2964[/C][C]1.45362[/C][/ROW]
[ROW][C]135[/C][C]14.8[/C][C]13.991[/C][C]0.808992[/C][/ROW]
[ROW][C]136[/C][C]12.45[/C][C]12.6077[/C][C]-0.157739[/C][/ROW]
[ROW][C]137[/C][C]12.65[/C][C]8.2612[/C][C]4.3888[/C][/ROW]
[ROW][C]138[/C][C]17.35[/C][C]20.0593[/C][C]-2.70927[/C][/ROW]
[ROW][C]139[/C][C]8.6[/C][C]5.35891[/C][C]3.24109[/C][/ROW]
[ROW][C]140[/C][C]18.4[/C][C]16.9196[/C][C]1.48041[/C][/ROW]
[ROW][C]141[/C][C]16.1[/C][C]16.1519[/C][C]-0.0519207[/C][/ROW]
[ROW][C]142[/C][C]11.6[/C][C]6.22586[/C][C]5.37414[/C][/ROW]
[ROW][C]143[/C][C]17.75[/C][C]15.5808[/C][C]2.16924[/C][/ROW]
[ROW][C]144[/C][C]15.25[/C][C]11.2785[/C][C]3.97149[/C][/ROW]
[ROW][C]145[/C][C]17.65[/C][C]14.8428[/C][C]2.80718[/C][/ROW]
[ROW][C]146[/C][C]16.35[/C][C]13.5166[/C][C]2.83344[/C][/ROW]
[ROW][C]147[/C][C]17.65[/C][C]16.3981[/C][C]1.25195[/C][/ROW]
[ROW][C]148[/C][C]13.6[/C][C]11.6416[/C][C]1.95844[/C][/ROW]
[ROW][C]149[/C][C]14.35[/C][C]11.723[/C][C]2.62704[/C][/ROW]
[ROW][C]150[/C][C]14.75[/C][C]10.7341[/C][C]4.01594[/C][/ROW]
[ROW][C]151[/C][C]18.25[/C][C]21.2969[/C][C]-3.04693[/C][/ROW]
[ROW][C]152[/C][C]9.9[/C][C]8.63731[/C][C]1.26269[/C][/ROW]
[ROW][C]153[/C][C]16[/C][C]11.9767[/C][C]4.02329[/C][/ROW]
[ROW][C]154[/C][C]18.25[/C][C]14.738[/C][C]3.51197[/C][/ROW]
[ROW][C]155[/C][C]16.85[/C][C]14.1282[/C][C]2.72184[/C][/ROW]
[ROW][C]156[/C][C]14.6[/C][C]13.4147[/C][C]1.1853[/C][/ROW]
[ROW][C]157[/C][C]13.85[/C][C]11.4891[/C][C]2.36093[/C][/ROW]
[ROW][C]158[/C][C]18.95[/C][C]16.5003[/C][C]2.44968[/C][/ROW]
[ROW][C]159[/C][C]15.6[/C][C]15.7277[/C][C]-0.127663[/C][/ROW]
[ROW][C]160[/C][C]14.85[/C][C]15.4026[/C][C]-0.552633[/C][/ROW]
[ROW][C]161[/C][C]11.75[/C][C]8.72195[/C][C]3.02805[/C][/ROW]
[ROW][C]162[/C][C]18.45[/C][C]15.8336[/C][C]2.61637[/C][/ROW]
[ROW][C]163[/C][C]15.9[/C][C]14.3755[/C][C]1.52445[/C][/ROW]
[ROW][C]164[/C][C]17.1[/C][C]11.737[/C][C]5.36301[/C][/ROW]
[ROW][C]165[/C][C]16.1[/C][C]12.4155[/C][C]3.68454[/C][/ROW]
[ROW][C]166[/C][C]19.9[/C][C]19.64[/C][C]0.259956[/C][/ROW]
[ROW][C]167[/C][C]10.95[/C][C]7.24459[/C][C]3.70541[/C][/ROW]
[ROW][C]168[/C][C]18.45[/C][C]15.331[/C][C]3.11898[/C][/ROW]
[ROW][C]169[/C][C]15.1[/C][C]13.2694[/C][C]1.83056[/C][/ROW]
[ROW][C]170[/C][C]15[/C][C]17.3206[/C][C]-2.32058[/C][/ROW]
[ROW][C]171[/C][C]11.35[/C][C]8.91314[/C][C]2.43686[/C][/ROW]
[ROW][C]172[/C][C]15.95[/C][C]11.1261[/C][C]4.82395[/C][/ROW]
[ROW][C]173[/C][C]18.1[/C][C]18.3525[/C][C]-0.252518[/C][/ROW]
[ROW][C]174[/C][C]14.6[/C][C]12.8074[/C][C]1.79258[/C][/ROW]
[ROW][C]175[/C][C]15.4[/C][C]13.6074[/C][C]1.79258[/C][/ROW]
[ROW][C]176[/C][C]15.4[/C][C]11.3689[/C][C]4.03111[/C][/ROW]
[ROW][C]177[/C][C]17.6[/C][C]17.7208[/C][C]-0.120757[/C][/ROW]
[ROW][C]178[/C][C]13.35[/C][C]7.02621[/C][C]6.32379[/C][/ROW]
[ROW][C]179[/C][C]19.1[/C][C]17.3508[/C][C]1.7492[/C][/ROW]
[ROW][C]180[/C][C]15.35[/C][C]18.6364[/C][C]-3.28644[/C][/ROW]
[ROW][C]181[/C][C]7.6[/C][C]8.73661[/C][C]-1.13661[/C][/ROW]
[ROW][C]182[/C][C]13.4[/C][C]12.0112[/C][C]1.38885[/C][/ROW]
[ROW][C]183[/C][C]13.9[/C][C]10.2666[/C][C]3.63345[/C][/ROW]
[ROW][C]184[/C][C]19.1[/C][C]16.808[/C][C]2.29196[/C][/ROW]
[ROW][C]185[/C][C]15.25[/C][C]14.9355[/C][C]0.314483[/C][/ROW]
[ROW][C]186[/C][C]12.9[/C][C]10.9203[/C][C]1.97975[/C][/ROW]
[ROW][C]187[/C][C]16.1[/C][C]11.2184[/C][C]4.88164[/C][/ROW]
[ROW][C]188[/C][C]17.35[/C][C]17.4839[/C][C]-0.133868[/C][/ROW]
[ROW][C]189[/C][C]13.15[/C][C]12.597[/C][C]0.553007[/C][/ROW]
[ROW][C]190[/C][C]12.15[/C][C]10.7233[/C][C]1.42669[/C][/ROW]
[ROW][C]191[/C][C]12.6[/C][C]14.0999[/C][C]-1.49994[/C][/ROW]
[ROW][C]192[/C][C]10.35[/C][C]8.2116[/C][C]2.1384[/C][/ROW]
[ROW][C]193[/C][C]15.4[/C][C]17.3376[/C][C]-1.93758[/C][/ROW]
[ROW][C]194[/C][C]9.6[/C][C]3.50761[/C][C]6.09239[/C][/ROW]
[ROW][C]195[/C][C]18.2[/C][C]16.3918[/C][C]1.80824[/C][/ROW]
[ROW][C]196[/C][C]13.6[/C][C]12.0369[/C][C]1.56306[/C][/ROW]
[ROW][C]197[/C][C]14.85[/C][C]14.415[/C][C]0.435004[/C][/ROW]
[ROW][C]198[/C][C]14.75[/C][C]11.9952[/C][C]2.75476[/C][/ROW]
[ROW][C]199[/C][C]14.1[/C][C]10.3514[/C][C]3.74857[/C][/ROW]
[ROW][C]200[/C][C]14.9[/C][C]11.5033[/C][C]3.39666[/C][/ROW]
[ROW][C]201[/C][C]16.25[/C][C]12.5286[/C][C]3.7214[/C][/ROW]
[ROW][C]202[/C][C]19.25[/C][C]17.1821[/C][C]2.06792[/C][/ROW]
[ROW][C]203[/C][C]13.6[/C][C]12.5045[/C][C]1.09554[/C][/ROW]
[ROW][C]204[/C][C]13.6[/C][C]11.2899[/C][C]2.31011[/C][/ROW]
[ROW][C]205[/C][C]15.65[/C][C]15.1896[/C][C]0.460386[/C][/ROW]
[ROW][C]206[/C][C]12.75[/C][C]10.1215[/C][C]2.62853[/C][/ROW]
[ROW][C]207[/C][C]14.6[/C][C]15.918[/C][C]-1.31799[/C][/ROW]
[ROW][C]208[/C][C]9.85[/C][C]8.77622[/C][C]1.07378[/C][/ROW]
[ROW][C]209[/C][C]12.65[/C][C]7.00199[/C][C]5.64801[/C][/ROW]
[ROW][C]210[/C][C]19.2[/C][C]16.1249[/C][C]3.07514[/C][/ROW]
[ROW][C]211[/C][C]16.6[/C][C]17.281[/C][C]-0.681035[/C][/ROW]
[ROW][C]212[/C][C]11.2[/C][C]8.80782[/C][C]2.39218[/C][/ROW]
[ROW][C]213[/C][C]15.25[/C][C]16.0286[/C][C]-0.778615[/C][/ROW]
[ROW][C]214[/C][C]11.9[/C][C]9.75119[/C][C]2.14881[/C][/ROW]
[ROW][C]215[/C][C]13.2[/C][C]12.0721[/C][C]1.12788[/C][/ROW]
[ROW][C]216[/C][C]16.35[/C][C]15.0746[/C][C]1.27541[/C][/ROW]
[ROW][C]217[/C][C]12.4[/C][C]9.1821[/C][C]3.2179[/C][/ROW]
[ROW][C]218[/C][C]15.85[/C][C]11.5355[/C][C]4.31451[/C][/ROW]
[ROW][C]219[/C][C]18.15[/C][C]19.0511[/C][C]-0.901143[/C][/ROW]
[ROW][C]220[/C][C]11.15[/C][C]9.79604[/C][C]1.35396[/C][/ROW]
[ROW][C]221[/C][C]15.65[/C][C]10.3379[/C][C]5.31214[/C][/ROW]
[ROW][C]222[/C][C]17.75[/C][C]21.0806[/C][C]-3.33056[/C][/ROW]
[ROW][C]223[/C][C]7.65[/C][C]7.25268[/C][C]0.397317[/C][/ROW]
[ROW][C]224[/C][C]12.35[/C][C]8.09349[/C][C]4.25651[/C][/ROW]
[ROW][C]225[/C][C]15.6[/C][C]11.4652[/C][C]4.13481[/C][/ROW]
[ROW][C]226[/C][C]19.3[/C][C]15.564[/C][C]3.73602[/C][/ROW]
[ROW][C]227[/C][C]15.2[/C][C]10.328[/C][C]4.87202[/C][/ROW]
[ROW][C]228[/C][C]17.1[/C][C]14.1786[/C][C]2.92137[/C][/ROW]
[ROW][C]229[/C][C]15.6[/C][C]12.4898[/C][C]3.11018[/C][/ROW]
[ROW][C]230[/C][C]18.4[/C][C]13.1674[/C][C]5.23258[/C][/ROW]
[ROW][C]231[/C][C]19.05[/C][C]11.8871[/C][C]7.16288[/C][/ROW]
[ROW][C]232[/C][C]18.55[/C][C]14.966[/C][C]3.58405[/C][/ROW]
[ROW][C]233[/C][C]19.1[/C][C]18.2924[/C][C]0.807584[/C][/ROW]
[ROW][C]234[/C][C]13.1[/C][C]13.7084[/C][C]-0.608433[/C][/ROW]
[ROW][C]235[/C][C]12.85[/C][C]13.5677[/C][C]-0.717718[/C][/ROW]
[ROW][C]236[/C][C]9.5[/C][C]16.5854[/C][C]-7.08544[/C][/ROW]
[ROW][C]237[/C][C]4.5[/C][C]3.05059[/C][C]1.44941[/C][/ROW]
[ROW][C]238[/C][C]11.85[/C][C]11.2596[/C][C]0.590439[/C][/ROW]
[ROW][C]239[/C][C]13.6[/C][C]12.8045[/C][C]0.79547[/C][/ROW]
[ROW][C]240[/C][C]11.7[/C][C]10.3616[/C][C]1.33842[/C][/ROW]
[ROW][C]241[/C][C]12.4[/C][C]12.8527[/C][C]-0.452659[/C][/ROW]
[ROW][C]242[/C][C]13.35[/C][C]13.3022[/C][C]0.047789[/C][/ROW]
[ROW][C]243[/C][C]11.4[/C][C]9.0346[/C][C]2.3654[/C][/ROW]
[ROW][C]244[/C][C]14.9[/C][C]11.2155[/C][C]3.68454[/C][/ROW]
[ROW][C]245[/C][C]19.9[/C][C]20.568[/C][C]-0.668015[/C][/ROW]
[ROW][C]246[/C][C]11.2[/C][C]10.0357[/C][C]1.1643[/C][/ROW]
[ROW][C]247[/C][C]14.6[/C][C]12.1306[/C][C]2.46943[/C][/ROW]
[ROW][C]248[/C][C]17.6[/C][C]15.5636[/C][C]2.03642[/C][/ROW]
[ROW][C]249[/C][C]14.05[/C][C]11.6204[/C][C]2.42965[/C][/ROW]
[ROW][C]250[/C][C]16.1[/C][C]15.0954[/C][C]1.00464[/C][/ROW]
[ROW][C]251[/C][C]13.35[/C][C]13.1155[/C][C]0.234478[/C][/ROW]
[ROW][C]252[/C][C]11.85[/C][C]13.0985[/C][C]-1.2485[/C][/ROW]
[ROW][C]253[/C][C]11.95[/C][C]11.0361[/C][C]0.913859[/C][/ROW]
[ROW][C]254[/C][C]14.75[/C][C]12.3628[/C][C]2.38718[/C][/ROW]
[ROW][C]255[/C][C]15.15[/C][C]15.9169[/C][C]-0.766921[/C][/ROW]
[ROW][C]256[/C][C]13.2[/C][C]11.0072[/C][C]2.19277[/C][/ROW]
[ROW][C]257[/C][C]16.85[/C][C]20.8712[/C][C]-4.02124[/C][/ROW]
[ROW][C]258[/C][C]7.85[/C][C]12.0264[/C][C]-4.17636[/C][/ROW]
[ROW][C]259[/C][C]7.7[/C][C]8.34952[/C][C]-0.649519[/C][/ROW]
[ROW][C]260[/C][C]12.6[/C][C]16.6677[/C][C]-4.06773[/C][/ROW]
[ROW][C]261[/C][C]7.85[/C][C]7.59004[/C][C]0.259956[/C][/ROW]
[ROW][C]262[/C][C]10.95[/C][C]11.7803[/C][C]-0.830285[/C][/ROW]
[ROW][C]263[/C][C]12.35[/C][C]13.2509[/C][C]-0.900868[/C][/ROW]
[ROW][C]264[/C][C]9.95[/C][C]7.5846[/C][C]2.3654[/C][/ROW]
[ROW][C]265[/C][C]14.9[/C][C]11.2773[/C][C]3.62271[/C][/ROW]
[ROW][C]266[/C][C]16.65[/C][C]15.7365[/C][C]0.913458[/C][/ROW]
[ROW][C]267[/C][C]13.4[/C][C]11.114[/C][C]2.286[/C][/ROW]
[ROW][C]268[/C][C]13.95[/C][C]9.66269[/C][C]4.28731[/C][/ROW]
[ROW][C]269[/C][C]15.7[/C][C]12.2462[/C][C]3.45382[/C][/ROW]
[ROW][C]270[/C][C]16.85[/C][C]17.7235[/C][C]-0.873479[/C][/ROW]
[ROW][C]271[/C][C]10.95[/C][C]6.83971[/C][C]4.11029[/C][/ROW]
[ROW][C]272[/C][C]15.35[/C][C]14.9599[/C][C]0.390121[/C][/ROW]
[ROW][C]273[/C][C]12.2[/C][C]9.06604[/C][C]3.13396[/C][/ROW]
[ROW][C]274[/C][C]15.1[/C][C]11.677[/C][C]3.42305[/C][/ROW]
[ROW][C]275[/C][C]17.75[/C][C]15.9489[/C][C]1.80113[/C][/ROW]
[ROW][C]276[/C][C]15.2[/C][C]13.6034[/C][C]1.59662[/C][/ROW]
[ROW][C]277[/C][C]14.6[/C][C]11.637[/C][C]2.96296[/C][/ROW]
[ROW][C]278[/C][C]16.65[/C][C]18.8855[/C][C]-2.23553[/C][/ROW]
[ROW][C]279[/C][C]8.1[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=269399&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=269399&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
112.914.9289-2.02887
212.213.0661-0.866121
312.813.4861-0.686075
47.414.0497-6.64969
56.711.9866-5.28659
612.613.7451-1.14505
714.814.9574-0.157436
813.314.5-1.2
911.114.7529-3.65288
108.213.5367-5.33673
1111.414.4703-3.07025
126.413.9495-7.54946
1310.612.0377-1.43765
141215.6711-3.67109
156.310.5758-4.27577
1611.311.6796-0.379604
1711.914.7711-2.87107
189.312.4676-3.16755
199.613.0167-3.41668
201012.4652-2.46516
216.412.509-6.10896
2213.812.69641.10359
2310.814.6074-3.80744
2413.815.3134-1.51344
2511.714.5821-2.88207
2610.915.8328-4.93278
2716.115.39690.703125
2813.412.91670.483333
299.915.3875-5.48754
3011.513.8315-2.33153
318.312.5336-4.23357
3211.712.7237-1.02366
33913.3314-4.33143
349.714.2838-4.58382
3510.813.7435-2.94353
3610.313.077-2.77701
3710.412.9152-2.51517
3812.711.39571.30429
399.314.4298-5.12976
4011.814.6594-2.85939
415.912.8523-6.95228
4211.413.7824-2.38236
431314.3415-1.34153
4410.815.0038-4.20378
4512.312.00240.297618
4611.314.6143-3.31432
4711.812.5911-0.791075
487.911.9931-4.09311
4912.711.94180.758216
5012.311.79650.503468
5111.613.2259-1.62589
526.710.5753-3.87535
5310.913.0473-2.14729
5412.112.5083-0.408349
5513.312.8690.431041
5610.113.1277-3.02769
575.713.2441-7.54414
5814.312.18652.11349
5989.50756-1.50756
6013.313.3026-0.00262779
619.315.752-6.452
6212.511.90340.596578
637.613.5505-5.95051
6415.915.73520.164849
659.213.0995-3.89954
669.112.1171-3.01708
6711.115.3189-4.21887
681317.6924-4.69236
6914.514.02720.472825
7012.212.04610.153892
7112.314.5013-2.20131
7211.412.6505-1.25053
738.812.2669-3.46695
7414.613.8620.738024
7512.612.9951-0.395111
76NANA-0.449564
771312.8330.166982
7812.614.0378-1.43782
7913.214.3529-1.15288
809.914.9511-5.05106
817.79.04962-1.34962
8210.58.525111.97489
8313.415.6322-2.23225
8410.918.4905-7.59047
854.37.05192-2.75192
8610.312.4476-2.14757
8711.812.2249-0.424935
8811.211.798-0.598004
8911.415.1889-3.78892
908.67.679830.920165
9113.212.69210.507876
9212.619.2082-6.60821
935.69.26884-3.66884
949.912.8607-2.96066
958.812.1884-3.38845
967.79.98678-2.28678
97914.2661-5.26609
987.37.6349-0.334897
9911.49.683891.71611
10013.618.6556-5.05562
1017.99.26018-1.36018
10210.713.4788-2.77877
10310.312.3368-2.03679
1048.311.2761-2.97612
1059.67.565182.03482
10614.216.8579-2.65788
1078.55.782582.71742
10813.521.1627-7.66267
1094.99.46199-4.56199
1106.49.19319-2.79319
1119.610.4259-0.825914
11211.612.2998-0.699799
11311.116.7819-5.68187
1144.354.22570.124296
11512.77.91724.7828
11618.114.52243.57764
11717.8518.2973-0.447301
11816.614.24972.35028
11912.611.75110.848899
12017.113.60813.49192
12119.121.9345-2.83449
12216.112.93483.16518
12313.359.374113.97589
12418.414.99763.40239
12514.717.073-2.37304
12610.69.423351.17665
12712.68.906153.69385
12816.215.7280.472013
12913.69.140844.45916
13018.916.82782.0722
13114.112.35651.74354
13214.513.47131.02865
13316.1514.49611.65392
13414.7513.29641.45362
13514.813.9910.808992
13612.4512.6077-0.157739
13712.658.26124.3888
13817.3520.0593-2.70927
1398.65.358913.24109
14018.416.91961.48041
14116.116.1519-0.0519207
14211.66.225865.37414
14317.7515.58082.16924
14415.2511.27853.97149
14517.6514.84282.80718
14616.3513.51662.83344
14717.6516.39811.25195
14813.611.64161.95844
14914.3511.7232.62704
15014.7510.73414.01594
15118.2521.2969-3.04693
1529.98.637311.26269
1531611.97674.02329
15418.2514.7383.51197
15516.8514.12822.72184
15614.613.41471.1853
15713.8511.48912.36093
15818.9516.50032.44968
15915.615.7277-0.127663
16014.8515.4026-0.552633
16111.758.721953.02805
16218.4515.83362.61637
16315.914.37551.52445
16417.111.7375.36301
16516.112.41553.68454
16619.919.640.259956
16710.957.244593.70541
16818.4515.3313.11898
16915.113.26941.83056
1701517.3206-2.32058
17111.358.913142.43686
17215.9511.12614.82395
17318.118.3525-0.252518
17414.612.80741.79258
17515.413.60741.79258
17615.411.36894.03111
17717.617.7208-0.120757
17813.357.026216.32379
17919.117.35081.7492
18015.3518.6364-3.28644
1817.68.73661-1.13661
18213.412.01121.38885
18313.910.26663.63345
18419.116.8082.29196
18515.2514.93550.314483
18612.910.92031.97975
18716.111.21844.88164
18817.3517.4839-0.133868
18913.1512.5970.553007
19012.1510.72331.42669
19112.614.0999-1.49994
19210.358.21162.1384
19315.417.3376-1.93758
1949.63.507616.09239
19518.216.39181.80824
19613.612.03691.56306
19714.8514.4150.435004
19814.7511.99522.75476
19914.110.35143.74857
20014.911.50333.39666
20116.2512.52863.7214
20219.2517.18212.06792
20313.612.50451.09554
20413.611.28992.31011
20515.6515.18960.460386
20612.7510.12152.62853
20714.615.918-1.31799
2089.858.776221.07378
20912.657.001995.64801
21019.216.12493.07514
21116.617.281-0.681035
21211.28.807822.39218
21315.2516.0286-0.778615
21411.99.751192.14881
21513.212.07211.12788
21616.3515.07461.27541
21712.49.18213.2179
21815.8511.53554.31451
21918.1519.0511-0.901143
22011.159.796041.35396
22115.6510.33795.31214
22217.7521.0806-3.33056
2237.657.252680.397317
22412.358.093494.25651
22515.611.46524.13481
22619.315.5643.73602
22715.210.3284.87202
22817.114.17862.92137
22915.612.48983.11018
23018.413.16745.23258
23119.0511.88717.16288
23218.5514.9663.58405
23319.118.29240.807584
23413.113.7084-0.608433
23512.8513.5677-0.717718
2369.516.5854-7.08544
2374.53.050591.44941
23811.8511.25960.590439
23913.612.80450.79547
24011.710.36161.33842
24112.412.8527-0.452659
24213.3513.30220.047789
24311.49.03462.3654
24414.911.21553.68454
24519.920.568-0.668015
24611.210.03571.1643
24714.612.13062.46943
24817.615.56362.03642
24914.0511.62042.42965
25016.115.09541.00464
25113.3513.11550.234478
25211.8513.0985-1.2485
25311.9511.03610.913859
25414.7512.36282.38718
25515.1515.9169-0.766921
25613.211.00722.19277
25716.8520.8712-4.02124
2587.8512.0264-4.17636
2597.78.34952-0.649519
26012.616.6677-4.06773
2617.857.590040.259956
26210.9511.7803-0.830285
26312.3513.2509-0.900868
2649.957.58462.3654
26514.911.27733.62271
26616.6515.73650.913458
26713.411.1142.286
26813.959.662694.28731
26915.712.24623.45382
27016.8517.7235-0.873479
27110.956.839714.11029
27215.3514.95990.390121
27312.29.066043.13396
27415.111.6773.42305
27517.7515.94891.80113
27615.213.60341.59662
27714.611.6372.96296
27816.6518.8855-2.23553
2798.1NANA






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
80.1192130.2384260.880787
90.1251280.2502570.874872
100.4121530.8243070.587847
110.3632210.7264430.636779
120.4316740.8633480.568326
130.4087630.8175260.591237
140.3240480.6480970.675952
150.251450.50290.74855
160.2263590.4527180.773641
170.166230.332460.83377
180.1185330.2370660.881467
190.0832310.1664620.916769
200.06423650.1284730.935764
210.1035860.2071720.896414
220.143640.287280.85636
230.113570.227140.88643
240.09155810.1831160.908442
250.06993480.139870.930065
260.05627510.112550.943725
270.06483080.1296620.935169
280.05574550.1114910.944255
290.09663310.1932660.903367
300.07356890.1471380.926431
310.06509070.1301810.934909
320.06104280.1220860.938957
330.05816020.116320.94184
340.05359230.1071850.946408
350.04195280.08390570.958047
360.03181140.06362280.968189
370.02435750.04871510.975642
380.03719160.07438320.962808
390.03845510.07691030.961545
400.02982650.0596530.970174
410.06009890.1201980.939901
420.0482530.0965060.951747
430.04113480.08226970.958865
440.03619360.07238710.963806
450.03439650.06879310.965603
460.02886770.05773550.971132
470.02332550.0466510.976675
480.02314850.04629710.976851
490.02324540.04649080.976755
500.02376330.04752650.976237
510.0187670.0375340.981233
520.01884670.03769340.981153
530.01507380.03014760.984926
540.01456160.02912320.985438
550.01508250.0301650.984917
560.01222960.02445920.98777
570.03252060.06504120.967479
580.04405380.08810760.955946
590.03511950.0702390.964881
600.03359950.06719910.9664
610.0500810.1001620.949919
620.04952830.09905660.950472
630.06329340.1265870.936707
640.07845570.1569110.921544
650.0843720.1687440.915628
660.07329180.1465840.926708
670.0777520.1555040.922248
680.09122470.1824490.908775
690.1099070.2198140.890093
700.1009040.2018090.899096
710.09631460.1926290.903685
720.08639080.1727820.913609
730.08054180.1610840.919458
740.09183080.1836620.908169
750.08297970.1659590.91702
760.07631280.1526260.923687
770.07346810.1469360.926532
780.06915240.1383050.930848
790.05728870.1145770.942711
800.07752490.155050.922475
810.06655140.1331030.933449
820.07121450.1424290.928786
830.06228070.1245610.937719
840.161680.323360.83832
850.1602790.3205580.839721
860.1476460.2952930.852354
870.1313470.2626930.868653
880.1198190.2396370.880181
890.1219360.2438730.878064
900.1208880.2417770.879112
910.11790.23580.8821
920.2180540.4361070.781946
930.2412760.4825520.758724
940.2368180.4736360.763182
950.2495780.4991550.750422
960.2482050.496410.751795
970.3411310.6822610.658869
980.3255980.6511960.674402
990.3515220.7030440.648478
1000.4328050.8656090.567195
1010.4045860.8091720.595414
1020.4045670.8091340.595433
1030.4030890.8061770.596911
1040.4301430.8602850.569857
1050.4676020.9352040.532398
1060.4888560.9777110.511144
1070.5077790.9844420.492221
1080.7758050.448390.224195
1090.824230.3515390.17577
1100.82960.3408010.1704
1110.8288890.3422210.171111
1120.821740.356520.17826
1130.8981970.2036060.101803
1140.8948480.2103040.105152
1150.9533590.09328290.0466415
1160.9746120.05077510.0253875
1170.9748490.05030280.0251514
1180.9774290.04514280.0225714
1190.9820510.0358970.0179485
1200.9894810.02103740.0105187
1210.9926430.01471410.00735703
1220.994930.01014040.00507022
1230.9972850.005429940.00271497
1240.9985570.002885720.00144286
1250.9986770.002646360.00132318
1260.9985120.002976220.00148811
1270.9989840.002032180.00101609
1280.9987730.00245310.00122655
1290.9994110.001178110.000589056
1300.9994190.001161390.000580696
1310.9994010.001198930.000599465
1320.9993790.001241160.000620582
1330.9993270.00134630.000673151
1340.9992750.001450950.000725477
1350.9990910.001817930.000908964
1360.9988650.002269270.00113463
1370.9993680.001263630.000631813
1380.9993030.001393660.00069683
1390.9994420.001115590.000557795
1400.999390.001219090.000609547
1410.9992080.001584180.00079209
1420.9996230.00075470.00037735
1430.9996510.0006985020.000349251
1440.9997570.0004852470.000242623
1450.9997460.0005074970.000253749
1460.999760.000480920.00024046
1470.9996920.0006158920.000307946
1480.9996340.0007326830.000366341
1490.9996160.0007679360.000383968
1500.9996990.0006019460.000300973
1510.9998940.0002119370.000105969
1520.9998710.0002588530.000129427
1530.9998970.0002061090.000103054
1540.9998960.0002085690.000104284
1550.9999060.0001882889.41438e-05
1560.9998760.0002482360.000124118
1570.9998640.0002723520.000136176
1580.9998460.0003084330.000154217
1590.9998130.0003735510.000186776
1600.9997550.0004909350.000245468
1610.9997480.000503490.000251745
1620.9997380.0005245440.000262272
1630.9997050.0005891110.000294555
1640.9999686.44565e-053.22283e-05
1650.9999676.68306e-053.34153e-05
1660.9999539.33114e-054.66557e-05
1670.9999568.78517e-054.39259e-05
1680.9999617.72531e-053.86265e-05
1690.999950.0001005245.02621e-05
1700.9999519.74461e-054.8723e-05
1710.9999420.0001150665.75331e-05
1720.9999647.21063e-053.60532e-05
1730.999968.04845e-054.02422e-05
1740.9999490.0001027315.13654e-05
1750.9999350.0001308986.54492e-05
1760.9999470.0001067865.33929e-05
1770.9999350.0001292896.46444e-05
1780.9999686.32753e-053.16376e-05
1790.999967.98566e-053.99283e-05
1800.9999617.74489e-053.87244e-05
1810.9999598.11728e-054.05864e-05
1820.9999430.000114955.74752e-05
1830.9999330.0001336796.68395e-05
1840.9999140.000172918.64551e-05
1850.9999070.0001867929.33958e-05
1860.9998740.0002517980.000125899
1870.9999260.0001474287.37138e-05
1880.9999070.0001866739.33364e-05
1890.9998690.0002623450.000131172
1900.9998260.0003475760.000173788
1910.9997670.0004664560.000233228
1920.999690.0006195380.000309769
1930.9996570.000685970.000342985
1940.9998450.000310170.000155085
1950.9997990.0004022250.000201112
1960.9997370.0005253820.000262691
1970.9997090.0005828510.000291425
1980.9996410.0007176810.000358841
1990.9997240.000552450.000276225
2000.9996970.0006056010.0003028
2010.9996680.0006633750.000331687
2020.9996430.0007145180.000357259
2030.9995410.0009185860.000459293
2040.9993870.001225230.000612615
2050.9991630.001674620.00083731
2060.9992520.001495470.000747737
2070.9989560.002088180.00104409
2080.9987780.002443720.00122186
2090.9989370.002126480.00106324
2100.9988060.002388080.00119404
2110.9983150.003370940.00168547
2120.9977670.004466210.0022331
2130.9978210.004358950.00217947
2140.9974650.005069790.00253489
2150.9972120.005576980.00278849
2160.9962550.007489510.00374475
2170.996030.007940950.00397048
2180.9952330.009534190.00476709
2190.9934770.01304670.00652333
2200.9911550.01768990.00884497
2210.9923340.01533230.00766613
2220.9918020.0163970.00819849
2230.9888430.02231390.011157
2240.9897650.02047040.0102352
2250.987690.02461990.01231
2260.9930990.01380270.00690135
2270.9949930.01001420.00500711
2280.9953180.009363250.00468163
2290.9937260.01254710.00627353
2300.9947350.01053040.00526522
2310.9975710.004858110.00242906
2320.9966420.006716640.00335832
2330.995290.009420470.00471024
2340.9944580.01108460.00554231
2350.9929180.01416350.00708175
2360.9990250.001949640.000974821
2370.9989730.002054970.00102748
2380.9985720.002855570.00142778
2390.9977620.004475710.00223786
2400.9967610.006478030.00323902
2410.9957970.008405440.00420272
2420.9935410.01291810.00645904
2430.9917970.01640560.00820282
2440.9883450.02330930.0116547
2450.982880.03424080.0171204
2460.9751790.04964120.0248206
2470.9669460.06610840.0330542
2480.9565320.08693630.0434682
2490.9405920.1188150.0594077
2500.9186010.1627980.0813991
2510.8914590.2170810.108541
2520.8828950.234210.117105
2530.8465460.3069090.153454
2540.803770.3924610.19623
2550.8446240.3107520.155376
2560.7971940.4056120.202806
2570.8504560.2990880.149544
2580.9340130.1319730.0659867
2590.9310710.1378580.0689291
2600.999390.00121990.000609951
2610.9985350.002929260.00146463
2620.9989310.002138410.0010692
2630.9999220.0001566917.83455e-05
2640.9997220.0005553390.000277669
2650.9996060.0007883750.000394187
2660.9989090.002182510.00109125
2670.9994520.001095070.000547533
2680.9980550.003890320.00194516
2690.9993970.001206210.000603103
2700.997560.004879280.00243964
2710.9782660.04346720.0217336

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
8 & 0.119213 & 0.238426 & 0.880787 \tabularnewline
9 & 0.125128 & 0.250257 & 0.874872 \tabularnewline
10 & 0.412153 & 0.824307 & 0.587847 \tabularnewline
11 & 0.363221 & 0.726443 & 0.636779 \tabularnewline
12 & 0.431674 & 0.863348 & 0.568326 \tabularnewline
13 & 0.408763 & 0.817526 & 0.591237 \tabularnewline
14 & 0.324048 & 0.648097 & 0.675952 \tabularnewline
15 & 0.25145 & 0.5029 & 0.74855 \tabularnewline
16 & 0.226359 & 0.452718 & 0.773641 \tabularnewline
17 & 0.16623 & 0.33246 & 0.83377 \tabularnewline
18 & 0.118533 & 0.237066 & 0.881467 \tabularnewline
19 & 0.083231 & 0.166462 & 0.916769 \tabularnewline
20 & 0.0642365 & 0.128473 & 0.935764 \tabularnewline
21 & 0.103586 & 0.207172 & 0.896414 \tabularnewline
22 & 0.14364 & 0.28728 & 0.85636 \tabularnewline
23 & 0.11357 & 0.22714 & 0.88643 \tabularnewline
24 & 0.0915581 & 0.183116 & 0.908442 \tabularnewline
25 & 0.0699348 & 0.13987 & 0.930065 \tabularnewline
26 & 0.0562751 & 0.11255 & 0.943725 \tabularnewline
27 & 0.0648308 & 0.129662 & 0.935169 \tabularnewline
28 & 0.0557455 & 0.111491 & 0.944255 \tabularnewline
29 & 0.0966331 & 0.193266 & 0.903367 \tabularnewline
30 & 0.0735689 & 0.147138 & 0.926431 \tabularnewline
31 & 0.0650907 & 0.130181 & 0.934909 \tabularnewline
32 & 0.0610428 & 0.122086 & 0.938957 \tabularnewline
33 & 0.0581602 & 0.11632 & 0.94184 \tabularnewline
34 & 0.0535923 & 0.107185 & 0.946408 \tabularnewline
35 & 0.0419528 & 0.0839057 & 0.958047 \tabularnewline
36 & 0.0318114 & 0.0636228 & 0.968189 \tabularnewline
37 & 0.0243575 & 0.0487151 & 0.975642 \tabularnewline
38 & 0.0371916 & 0.0743832 & 0.962808 \tabularnewline
39 & 0.0384551 & 0.0769103 & 0.961545 \tabularnewline
40 & 0.0298265 & 0.059653 & 0.970174 \tabularnewline
41 & 0.0600989 & 0.120198 & 0.939901 \tabularnewline
42 & 0.048253 & 0.096506 & 0.951747 \tabularnewline
43 & 0.0411348 & 0.0822697 & 0.958865 \tabularnewline
44 & 0.0361936 & 0.0723871 & 0.963806 \tabularnewline
45 & 0.0343965 & 0.0687931 & 0.965603 \tabularnewline
46 & 0.0288677 & 0.0577355 & 0.971132 \tabularnewline
47 & 0.0233255 & 0.046651 & 0.976675 \tabularnewline
48 & 0.0231485 & 0.0462971 & 0.976851 \tabularnewline
49 & 0.0232454 & 0.0464908 & 0.976755 \tabularnewline
50 & 0.0237633 & 0.0475265 & 0.976237 \tabularnewline
51 & 0.018767 & 0.037534 & 0.981233 \tabularnewline
52 & 0.0188467 & 0.0376934 & 0.981153 \tabularnewline
53 & 0.0150738 & 0.0301476 & 0.984926 \tabularnewline
54 & 0.0145616 & 0.0291232 & 0.985438 \tabularnewline
55 & 0.0150825 & 0.030165 & 0.984917 \tabularnewline
56 & 0.0122296 & 0.0244592 & 0.98777 \tabularnewline
57 & 0.0325206 & 0.0650412 & 0.967479 \tabularnewline
58 & 0.0440538 & 0.0881076 & 0.955946 \tabularnewline
59 & 0.0351195 & 0.070239 & 0.964881 \tabularnewline
60 & 0.0335995 & 0.0671991 & 0.9664 \tabularnewline
61 & 0.050081 & 0.100162 & 0.949919 \tabularnewline
62 & 0.0495283 & 0.0990566 & 0.950472 \tabularnewline
63 & 0.0632934 & 0.126587 & 0.936707 \tabularnewline
64 & 0.0784557 & 0.156911 & 0.921544 \tabularnewline
65 & 0.084372 & 0.168744 & 0.915628 \tabularnewline
66 & 0.0732918 & 0.146584 & 0.926708 \tabularnewline
67 & 0.077752 & 0.155504 & 0.922248 \tabularnewline
68 & 0.0912247 & 0.182449 & 0.908775 \tabularnewline
69 & 0.109907 & 0.219814 & 0.890093 \tabularnewline
70 & 0.100904 & 0.201809 & 0.899096 \tabularnewline
71 & 0.0963146 & 0.192629 & 0.903685 \tabularnewline
72 & 0.0863908 & 0.172782 & 0.913609 \tabularnewline
73 & 0.0805418 & 0.161084 & 0.919458 \tabularnewline
74 & 0.0918308 & 0.183662 & 0.908169 \tabularnewline
75 & 0.0829797 & 0.165959 & 0.91702 \tabularnewline
76 & 0.0763128 & 0.152626 & 0.923687 \tabularnewline
77 & 0.0734681 & 0.146936 & 0.926532 \tabularnewline
78 & 0.0691524 & 0.138305 & 0.930848 \tabularnewline
79 & 0.0572887 & 0.114577 & 0.942711 \tabularnewline
80 & 0.0775249 & 0.15505 & 0.922475 \tabularnewline
81 & 0.0665514 & 0.133103 & 0.933449 \tabularnewline
82 & 0.0712145 & 0.142429 & 0.928786 \tabularnewline
83 & 0.0622807 & 0.124561 & 0.937719 \tabularnewline
84 & 0.16168 & 0.32336 & 0.83832 \tabularnewline
85 & 0.160279 & 0.320558 & 0.839721 \tabularnewline
86 & 0.147646 & 0.295293 & 0.852354 \tabularnewline
87 & 0.131347 & 0.262693 & 0.868653 \tabularnewline
88 & 0.119819 & 0.239637 & 0.880181 \tabularnewline
89 & 0.121936 & 0.243873 & 0.878064 \tabularnewline
90 & 0.120888 & 0.241777 & 0.879112 \tabularnewline
91 & 0.1179 & 0.2358 & 0.8821 \tabularnewline
92 & 0.218054 & 0.436107 & 0.781946 \tabularnewline
93 & 0.241276 & 0.482552 & 0.758724 \tabularnewline
94 & 0.236818 & 0.473636 & 0.763182 \tabularnewline
95 & 0.249578 & 0.499155 & 0.750422 \tabularnewline
96 & 0.248205 & 0.49641 & 0.751795 \tabularnewline
97 & 0.341131 & 0.682261 & 0.658869 \tabularnewline
98 & 0.325598 & 0.651196 & 0.674402 \tabularnewline
99 & 0.351522 & 0.703044 & 0.648478 \tabularnewline
100 & 0.432805 & 0.865609 & 0.567195 \tabularnewline
101 & 0.404586 & 0.809172 & 0.595414 \tabularnewline
102 & 0.404567 & 0.809134 & 0.595433 \tabularnewline
103 & 0.403089 & 0.806177 & 0.596911 \tabularnewline
104 & 0.430143 & 0.860285 & 0.569857 \tabularnewline
105 & 0.467602 & 0.935204 & 0.532398 \tabularnewline
106 & 0.488856 & 0.977711 & 0.511144 \tabularnewline
107 & 0.507779 & 0.984442 & 0.492221 \tabularnewline
108 & 0.775805 & 0.44839 & 0.224195 \tabularnewline
109 & 0.82423 & 0.351539 & 0.17577 \tabularnewline
110 & 0.8296 & 0.340801 & 0.1704 \tabularnewline
111 & 0.828889 & 0.342221 & 0.171111 \tabularnewline
112 & 0.82174 & 0.35652 & 0.17826 \tabularnewline
113 & 0.898197 & 0.203606 & 0.101803 \tabularnewline
114 & 0.894848 & 0.210304 & 0.105152 \tabularnewline
115 & 0.953359 & 0.0932829 & 0.0466415 \tabularnewline
116 & 0.974612 & 0.0507751 & 0.0253875 \tabularnewline
117 & 0.974849 & 0.0503028 & 0.0251514 \tabularnewline
118 & 0.977429 & 0.0451428 & 0.0225714 \tabularnewline
119 & 0.982051 & 0.035897 & 0.0179485 \tabularnewline
120 & 0.989481 & 0.0210374 & 0.0105187 \tabularnewline
121 & 0.992643 & 0.0147141 & 0.00735703 \tabularnewline
122 & 0.99493 & 0.0101404 & 0.00507022 \tabularnewline
123 & 0.997285 & 0.00542994 & 0.00271497 \tabularnewline
124 & 0.998557 & 0.00288572 & 0.00144286 \tabularnewline
125 & 0.998677 & 0.00264636 & 0.00132318 \tabularnewline
126 & 0.998512 & 0.00297622 & 0.00148811 \tabularnewline
127 & 0.998984 & 0.00203218 & 0.00101609 \tabularnewline
128 & 0.998773 & 0.0024531 & 0.00122655 \tabularnewline
129 & 0.999411 & 0.00117811 & 0.000589056 \tabularnewline
130 & 0.999419 & 0.00116139 & 0.000580696 \tabularnewline
131 & 0.999401 & 0.00119893 & 0.000599465 \tabularnewline
132 & 0.999379 & 0.00124116 & 0.000620582 \tabularnewline
133 & 0.999327 & 0.0013463 & 0.000673151 \tabularnewline
134 & 0.999275 & 0.00145095 & 0.000725477 \tabularnewline
135 & 0.999091 & 0.00181793 & 0.000908964 \tabularnewline
136 & 0.998865 & 0.00226927 & 0.00113463 \tabularnewline
137 & 0.999368 & 0.00126363 & 0.000631813 \tabularnewline
138 & 0.999303 & 0.00139366 & 0.00069683 \tabularnewline
139 & 0.999442 & 0.00111559 & 0.000557795 \tabularnewline
140 & 0.99939 & 0.00121909 & 0.000609547 \tabularnewline
141 & 0.999208 & 0.00158418 & 0.00079209 \tabularnewline
142 & 0.999623 & 0.0007547 & 0.00037735 \tabularnewline
143 & 0.999651 & 0.000698502 & 0.000349251 \tabularnewline
144 & 0.999757 & 0.000485247 & 0.000242623 \tabularnewline
145 & 0.999746 & 0.000507497 & 0.000253749 \tabularnewline
146 & 0.99976 & 0.00048092 & 0.00024046 \tabularnewline
147 & 0.999692 & 0.000615892 & 0.000307946 \tabularnewline
148 & 0.999634 & 0.000732683 & 0.000366341 \tabularnewline
149 & 0.999616 & 0.000767936 & 0.000383968 \tabularnewline
150 & 0.999699 & 0.000601946 & 0.000300973 \tabularnewline
151 & 0.999894 & 0.000211937 & 0.000105969 \tabularnewline
152 & 0.999871 & 0.000258853 & 0.000129427 \tabularnewline
153 & 0.999897 & 0.000206109 & 0.000103054 \tabularnewline
154 & 0.999896 & 0.000208569 & 0.000104284 \tabularnewline
155 & 0.999906 & 0.000188288 & 9.41438e-05 \tabularnewline
156 & 0.999876 & 0.000248236 & 0.000124118 \tabularnewline
157 & 0.999864 & 0.000272352 & 0.000136176 \tabularnewline
158 & 0.999846 & 0.000308433 & 0.000154217 \tabularnewline
159 & 0.999813 & 0.000373551 & 0.000186776 \tabularnewline
160 & 0.999755 & 0.000490935 & 0.000245468 \tabularnewline
161 & 0.999748 & 0.00050349 & 0.000251745 \tabularnewline
162 & 0.999738 & 0.000524544 & 0.000262272 \tabularnewline
163 & 0.999705 & 0.000589111 & 0.000294555 \tabularnewline
164 & 0.999968 & 6.44565e-05 & 3.22283e-05 \tabularnewline
165 & 0.999967 & 6.68306e-05 & 3.34153e-05 \tabularnewline
166 & 0.999953 & 9.33114e-05 & 4.66557e-05 \tabularnewline
167 & 0.999956 & 8.78517e-05 & 4.39259e-05 \tabularnewline
168 & 0.999961 & 7.72531e-05 & 3.86265e-05 \tabularnewline
169 & 0.99995 & 0.000100524 & 5.02621e-05 \tabularnewline
170 & 0.999951 & 9.74461e-05 & 4.8723e-05 \tabularnewline
171 & 0.999942 & 0.000115066 & 5.75331e-05 \tabularnewline
172 & 0.999964 & 7.21063e-05 & 3.60532e-05 \tabularnewline
173 & 0.99996 & 8.04845e-05 & 4.02422e-05 \tabularnewline
174 & 0.999949 & 0.000102731 & 5.13654e-05 \tabularnewline
175 & 0.999935 & 0.000130898 & 6.54492e-05 \tabularnewline
176 & 0.999947 & 0.000106786 & 5.33929e-05 \tabularnewline
177 & 0.999935 & 0.000129289 & 6.46444e-05 \tabularnewline
178 & 0.999968 & 6.32753e-05 & 3.16376e-05 \tabularnewline
179 & 0.99996 & 7.98566e-05 & 3.99283e-05 \tabularnewline
180 & 0.999961 & 7.74489e-05 & 3.87244e-05 \tabularnewline
181 & 0.999959 & 8.11728e-05 & 4.05864e-05 \tabularnewline
182 & 0.999943 & 0.00011495 & 5.74752e-05 \tabularnewline
183 & 0.999933 & 0.000133679 & 6.68395e-05 \tabularnewline
184 & 0.999914 & 0.00017291 & 8.64551e-05 \tabularnewline
185 & 0.999907 & 0.000186792 & 9.33958e-05 \tabularnewline
186 & 0.999874 & 0.000251798 & 0.000125899 \tabularnewline
187 & 0.999926 & 0.000147428 & 7.37138e-05 \tabularnewline
188 & 0.999907 & 0.000186673 & 9.33364e-05 \tabularnewline
189 & 0.999869 & 0.000262345 & 0.000131172 \tabularnewline
190 & 0.999826 & 0.000347576 & 0.000173788 \tabularnewline
191 & 0.999767 & 0.000466456 & 0.000233228 \tabularnewline
192 & 0.99969 & 0.000619538 & 0.000309769 \tabularnewline
193 & 0.999657 & 0.00068597 & 0.000342985 \tabularnewline
194 & 0.999845 & 0.00031017 & 0.000155085 \tabularnewline
195 & 0.999799 & 0.000402225 & 0.000201112 \tabularnewline
196 & 0.999737 & 0.000525382 & 0.000262691 \tabularnewline
197 & 0.999709 & 0.000582851 & 0.000291425 \tabularnewline
198 & 0.999641 & 0.000717681 & 0.000358841 \tabularnewline
199 & 0.999724 & 0.00055245 & 0.000276225 \tabularnewline
200 & 0.999697 & 0.000605601 & 0.0003028 \tabularnewline
201 & 0.999668 & 0.000663375 & 0.000331687 \tabularnewline
202 & 0.999643 & 0.000714518 & 0.000357259 \tabularnewline
203 & 0.999541 & 0.000918586 & 0.000459293 \tabularnewline
204 & 0.999387 & 0.00122523 & 0.000612615 \tabularnewline
205 & 0.999163 & 0.00167462 & 0.00083731 \tabularnewline
206 & 0.999252 & 0.00149547 & 0.000747737 \tabularnewline
207 & 0.998956 & 0.00208818 & 0.00104409 \tabularnewline
208 & 0.998778 & 0.00244372 & 0.00122186 \tabularnewline
209 & 0.998937 & 0.00212648 & 0.00106324 \tabularnewline
210 & 0.998806 & 0.00238808 & 0.00119404 \tabularnewline
211 & 0.998315 & 0.00337094 & 0.00168547 \tabularnewline
212 & 0.997767 & 0.00446621 & 0.0022331 \tabularnewline
213 & 0.997821 & 0.00435895 & 0.00217947 \tabularnewline
214 & 0.997465 & 0.00506979 & 0.00253489 \tabularnewline
215 & 0.997212 & 0.00557698 & 0.00278849 \tabularnewline
216 & 0.996255 & 0.00748951 & 0.00374475 \tabularnewline
217 & 0.99603 & 0.00794095 & 0.00397048 \tabularnewline
218 & 0.995233 & 0.00953419 & 0.00476709 \tabularnewline
219 & 0.993477 & 0.0130467 & 0.00652333 \tabularnewline
220 & 0.991155 & 0.0176899 & 0.00884497 \tabularnewline
221 & 0.992334 & 0.0153323 & 0.00766613 \tabularnewline
222 & 0.991802 & 0.016397 & 0.00819849 \tabularnewline
223 & 0.988843 & 0.0223139 & 0.011157 \tabularnewline
224 & 0.989765 & 0.0204704 & 0.0102352 \tabularnewline
225 & 0.98769 & 0.0246199 & 0.01231 \tabularnewline
226 & 0.993099 & 0.0138027 & 0.00690135 \tabularnewline
227 & 0.994993 & 0.0100142 & 0.00500711 \tabularnewline
228 & 0.995318 & 0.00936325 & 0.00468163 \tabularnewline
229 & 0.993726 & 0.0125471 & 0.00627353 \tabularnewline
230 & 0.994735 & 0.0105304 & 0.00526522 \tabularnewline
231 & 0.997571 & 0.00485811 & 0.00242906 \tabularnewline
232 & 0.996642 & 0.00671664 & 0.00335832 \tabularnewline
233 & 0.99529 & 0.00942047 & 0.00471024 \tabularnewline
234 & 0.994458 & 0.0110846 & 0.00554231 \tabularnewline
235 & 0.992918 & 0.0141635 & 0.00708175 \tabularnewline
236 & 0.999025 & 0.00194964 & 0.000974821 \tabularnewline
237 & 0.998973 & 0.00205497 & 0.00102748 \tabularnewline
238 & 0.998572 & 0.00285557 & 0.00142778 \tabularnewline
239 & 0.997762 & 0.00447571 & 0.00223786 \tabularnewline
240 & 0.996761 & 0.00647803 & 0.00323902 \tabularnewline
241 & 0.995797 & 0.00840544 & 0.00420272 \tabularnewline
242 & 0.993541 & 0.0129181 & 0.00645904 \tabularnewline
243 & 0.991797 & 0.0164056 & 0.00820282 \tabularnewline
244 & 0.988345 & 0.0233093 & 0.0116547 \tabularnewline
245 & 0.98288 & 0.0342408 & 0.0171204 \tabularnewline
246 & 0.975179 & 0.0496412 & 0.0248206 \tabularnewline
247 & 0.966946 & 0.0661084 & 0.0330542 \tabularnewline
248 & 0.956532 & 0.0869363 & 0.0434682 \tabularnewline
249 & 0.940592 & 0.118815 & 0.0594077 \tabularnewline
250 & 0.918601 & 0.162798 & 0.0813991 \tabularnewline
251 & 0.891459 & 0.217081 & 0.108541 \tabularnewline
252 & 0.882895 & 0.23421 & 0.117105 \tabularnewline
253 & 0.846546 & 0.306909 & 0.153454 \tabularnewline
254 & 0.80377 & 0.392461 & 0.19623 \tabularnewline
255 & 0.844624 & 0.310752 & 0.155376 \tabularnewline
256 & 0.797194 & 0.405612 & 0.202806 \tabularnewline
257 & 0.850456 & 0.299088 & 0.149544 \tabularnewline
258 & 0.934013 & 0.131973 & 0.0659867 \tabularnewline
259 & 0.931071 & 0.137858 & 0.0689291 \tabularnewline
260 & 0.99939 & 0.0012199 & 0.000609951 \tabularnewline
261 & 0.998535 & 0.00292926 & 0.00146463 \tabularnewline
262 & 0.998931 & 0.00213841 & 0.0010692 \tabularnewline
263 & 0.999922 & 0.000156691 & 7.83455e-05 \tabularnewline
264 & 0.999722 & 0.000555339 & 0.000277669 \tabularnewline
265 & 0.999606 & 0.000788375 & 0.000394187 \tabularnewline
266 & 0.998909 & 0.00218251 & 0.00109125 \tabularnewline
267 & 0.999452 & 0.00109507 & 0.000547533 \tabularnewline
268 & 0.998055 & 0.00389032 & 0.00194516 \tabularnewline
269 & 0.999397 & 0.00120621 & 0.000603103 \tabularnewline
270 & 0.99756 & 0.00487928 & 0.00243964 \tabularnewline
271 & 0.978266 & 0.0434672 & 0.0217336 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=269399&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]0.119213[/C][C]0.238426[/C][C]0.880787[/C][/ROW]
[ROW][C]9[/C][C]0.125128[/C][C]0.250257[/C][C]0.874872[/C][/ROW]
[ROW][C]10[/C][C]0.412153[/C][C]0.824307[/C][C]0.587847[/C][/ROW]
[ROW][C]11[/C][C]0.363221[/C][C]0.726443[/C][C]0.636779[/C][/ROW]
[ROW][C]12[/C][C]0.431674[/C][C]0.863348[/C][C]0.568326[/C][/ROW]
[ROW][C]13[/C][C]0.408763[/C][C]0.817526[/C][C]0.591237[/C][/ROW]
[ROW][C]14[/C][C]0.324048[/C][C]0.648097[/C][C]0.675952[/C][/ROW]
[ROW][C]15[/C][C]0.25145[/C][C]0.5029[/C][C]0.74855[/C][/ROW]
[ROW][C]16[/C][C]0.226359[/C][C]0.452718[/C][C]0.773641[/C][/ROW]
[ROW][C]17[/C][C]0.16623[/C][C]0.33246[/C][C]0.83377[/C][/ROW]
[ROW][C]18[/C][C]0.118533[/C][C]0.237066[/C][C]0.881467[/C][/ROW]
[ROW][C]19[/C][C]0.083231[/C][C]0.166462[/C][C]0.916769[/C][/ROW]
[ROW][C]20[/C][C]0.0642365[/C][C]0.128473[/C][C]0.935764[/C][/ROW]
[ROW][C]21[/C][C]0.103586[/C][C]0.207172[/C][C]0.896414[/C][/ROW]
[ROW][C]22[/C][C]0.14364[/C][C]0.28728[/C][C]0.85636[/C][/ROW]
[ROW][C]23[/C][C]0.11357[/C][C]0.22714[/C][C]0.88643[/C][/ROW]
[ROW][C]24[/C][C]0.0915581[/C][C]0.183116[/C][C]0.908442[/C][/ROW]
[ROW][C]25[/C][C]0.0699348[/C][C]0.13987[/C][C]0.930065[/C][/ROW]
[ROW][C]26[/C][C]0.0562751[/C][C]0.11255[/C][C]0.943725[/C][/ROW]
[ROW][C]27[/C][C]0.0648308[/C][C]0.129662[/C][C]0.935169[/C][/ROW]
[ROW][C]28[/C][C]0.0557455[/C][C]0.111491[/C][C]0.944255[/C][/ROW]
[ROW][C]29[/C][C]0.0966331[/C][C]0.193266[/C][C]0.903367[/C][/ROW]
[ROW][C]30[/C][C]0.0735689[/C][C]0.147138[/C][C]0.926431[/C][/ROW]
[ROW][C]31[/C][C]0.0650907[/C][C]0.130181[/C][C]0.934909[/C][/ROW]
[ROW][C]32[/C][C]0.0610428[/C][C]0.122086[/C][C]0.938957[/C][/ROW]
[ROW][C]33[/C][C]0.0581602[/C][C]0.11632[/C][C]0.94184[/C][/ROW]
[ROW][C]34[/C][C]0.0535923[/C][C]0.107185[/C][C]0.946408[/C][/ROW]
[ROW][C]35[/C][C]0.0419528[/C][C]0.0839057[/C][C]0.958047[/C][/ROW]
[ROW][C]36[/C][C]0.0318114[/C][C]0.0636228[/C][C]0.968189[/C][/ROW]
[ROW][C]37[/C][C]0.0243575[/C][C]0.0487151[/C][C]0.975642[/C][/ROW]
[ROW][C]38[/C][C]0.0371916[/C][C]0.0743832[/C][C]0.962808[/C][/ROW]
[ROW][C]39[/C][C]0.0384551[/C][C]0.0769103[/C][C]0.961545[/C][/ROW]
[ROW][C]40[/C][C]0.0298265[/C][C]0.059653[/C][C]0.970174[/C][/ROW]
[ROW][C]41[/C][C]0.0600989[/C][C]0.120198[/C][C]0.939901[/C][/ROW]
[ROW][C]42[/C][C]0.048253[/C][C]0.096506[/C][C]0.951747[/C][/ROW]
[ROW][C]43[/C][C]0.0411348[/C][C]0.0822697[/C][C]0.958865[/C][/ROW]
[ROW][C]44[/C][C]0.0361936[/C][C]0.0723871[/C][C]0.963806[/C][/ROW]
[ROW][C]45[/C][C]0.0343965[/C][C]0.0687931[/C][C]0.965603[/C][/ROW]
[ROW][C]46[/C][C]0.0288677[/C][C]0.0577355[/C][C]0.971132[/C][/ROW]
[ROW][C]47[/C][C]0.0233255[/C][C]0.046651[/C][C]0.976675[/C][/ROW]
[ROW][C]48[/C][C]0.0231485[/C][C]0.0462971[/C][C]0.976851[/C][/ROW]
[ROW][C]49[/C][C]0.0232454[/C][C]0.0464908[/C][C]0.976755[/C][/ROW]
[ROW][C]50[/C][C]0.0237633[/C][C]0.0475265[/C][C]0.976237[/C][/ROW]
[ROW][C]51[/C][C]0.018767[/C][C]0.037534[/C][C]0.981233[/C][/ROW]
[ROW][C]52[/C][C]0.0188467[/C][C]0.0376934[/C][C]0.981153[/C][/ROW]
[ROW][C]53[/C][C]0.0150738[/C][C]0.0301476[/C][C]0.984926[/C][/ROW]
[ROW][C]54[/C][C]0.0145616[/C][C]0.0291232[/C][C]0.985438[/C][/ROW]
[ROW][C]55[/C][C]0.0150825[/C][C]0.030165[/C][C]0.984917[/C][/ROW]
[ROW][C]56[/C][C]0.0122296[/C][C]0.0244592[/C][C]0.98777[/C][/ROW]
[ROW][C]57[/C][C]0.0325206[/C][C]0.0650412[/C][C]0.967479[/C][/ROW]
[ROW][C]58[/C][C]0.0440538[/C][C]0.0881076[/C][C]0.955946[/C][/ROW]
[ROW][C]59[/C][C]0.0351195[/C][C]0.070239[/C][C]0.964881[/C][/ROW]
[ROW][C]60[/C][C]0.0335995[/C][C]0.0671991[/C][C]0.9664[/C][/ROW]
[ROW][C]61[/C][C]0.050081[/C][C]0.100162[/C][C]0.949919[/C][/ROW]
[ROW][C]62[/C][C]0.0495283[/C][C]0.0990566[/C][C]0.950472[/C][/ROW]
[ROW][C]63[/C][C]0.0632934[/C][C]0.126587[/C][C]0.936707[/C][/ROW]
[ROW][C]64[/C][C]0.0784557[/C][C]0.156911[/C][C]0.921544[/C][/ROW]
[ROW][C]65[/C][C]0.084372[/C][C]0.168744[/C][C]0.915628[/C][/ROW]
[ROW][C]66[/C][C]0.0732918[/C][C]0.146584[/C][C]0.926708[/C][/ROW]
[ROW][C]67[/C][C]0.077752[/C][C]0.155504[/C][C]0.922248[/C][/ROW]
[ROW][C]68[/C][C]0.0912247[/C][C]0.182449[/C][C]0.908775[/C][/ROW]
[ROW][C]69[/C][C]0.109907[/C][C]0.219814[/C][C]0.890093[/C][/ROW]
[ROW][C]70[/C][C]0.100904[/C][C]0.201809[/C][C]0.899096[/C][/ROW]
[ROW][C]71[/C][C]0.0963146[/C][C]0.192629[/C][C]0.903685[/C][/ROW]
[ROW][C]72[/C][C]0.0863908[/C][C]0.172782[/C][C]0.913609[/C][/ROW]
[ROW][C]73[/C][C]0.0805418[/C][C]0.161084[/C][C]0.919458[/C][/ROW]
[ROW][C]74[/C][C]0.0918308[/C][C]0.183662[/C][C]0.908169[/C][/ROW]
[ROW][C]75[/C][C]0.0829797[/C][C]0.165959[/C][C]0.91702[/C][/ROW]
[ROW][C]76[/C][C]0.0763128[/C][C]0.152626[/C][C]0.923687[/C][/ROW]
[ROW][C]77[/C][C]0.0734681[/C][C]0.146936[/C][C]0.926532[/C][/ROW]
[ROW][C]78[/C][C]0.0691524[/C][C]0.138305[/C][C]0.930848[/C][/ROW]
[ROW][C]79[/C][C]0.0572887[/C][C]0.114577[/C][C]0.942711[/C][/ROW]
[ROW][C]80[/C][C]0.0775249[/C][C]0.15505[/C][C]0.922475[/C][/ROW]
[ROW][C]81[/C][C]0.0665514[/C][C]0.133103[/C][C]0.933449[/C][/ROW]
[ROW][C]82[/C][C]0.0712145[/C][C]0.142429[/C][C]0.928786[/C][/ROW]
[ROW][C]83[/C][C]0.0622807[/C][C]0.124561[/C][C]0.937719[/C][/ROW]
[ROW][C]84[/C][C]0.16168[/C][C]0.32336[/C][C]0.83832[/C][/ROW]
[ROW][C]85[/C][C]0.160279[/C][C]0.320558[/C][C]0.839721[/C][/ROW]
[ROW][C]86[/C][C]0.147646[/C][C]0.295293[/C][C]0.852354[/C][/ROW]
[ROW][C]87[/C][C]0.131347[/C][C]0.262693[/C][C]0.868653[/C][/ROW]
[ROW][C]88[/C][C]0.119819[/C][C]0.239637[/C][C]0.880181[/C][/ROW]
[ROW][C]89[/C][C]0.121936[/C][C]0.243873[/C][C]0.878064[/C][/ROW]
[ROW][C]90[/C][C]0.120888[/C][C]0.241777[/C][C]0.879112[/C][/ROW]
[ROW][C]91[/C][C]0.1179[/C][C]0.2358[/C][C]0.8821[/C][/ROW]
[ROW][C]92[/C][C]0.218054[/C][C]0.436107[/C][C]0.781946[/C][/ROW]
[ROW][C]93[/C][C]0.241276[/C][C]0.482552[/C][C]0.758724[/C][/ROW]
[ROW][C]94[/C][C]0.236818[/C][C]0.473636[/C][C]0.763182[/C][/ROW]
[ROW][C]95[/C][C]0.249578[/C][C]0.499155[/C][C]0.750422[/C][/ROW]
[ROW][C]96[/C][C]0.248205[/C][C]0.49641[/C][C]0.751795[/C][/ROW]
[ROW][C]97[/C][C]0.341131[/C][C]0.682261[/C][C]0.658869[/C][/ROW]
[ROW][C]98[/C][C]0.325598[/C][C]0.651196[/C][C]0.674402[/C][/ROW]
[ROW][C]99[/C][C]0.351522[/C][C]0.703044[/C][C]0.648478[/C][/ROW]
[ROW][C]100[/C][C]0.432805[/C][C]0.865609[/C][C]0.567195[/C][/ROW]
[ROW][C]101[/C][C]0.404586[/C][C]0.809172[/C][C]0.595414[/C][/ROW]
[ROW][C]102[/C][C]0.404567[/C][C]0.809134[/C][C]0.595433[/C][/ROW]
[ROW][C]103[/C][C]0.403089[/C][C]0.806177[/C][C]0.596911[/C][/ROW]
[ROW][C]104[/C][C]0.430143[/C][C]0.860285[/C][C]0.569857[/C][/ROW]
[ROW][C]105[/C][C]0.467602[/C][C]0.935204[/C][C]0.532398[/C][/ROW]
[ROW][C]106[/C][C]0.488856[/C][C]0.977711[/C][C]0.511144[/C][/ROW]
[ROW][C]107[/C][C]0.507779[/C][C]0.984442[/C][C]0.492221[/C][/ROW]
[ROW][C]108[/C][C]0.775805[/C][C]0.44839[/C][C]0.224195[/C][/ROW]
[ROW][C]109[/C][C]0.82423[/C][C]0.351539[/C][C]0.17577[/C][/ROW]
[ROW][C]110[/C][C]0.8296[/C][C]0.340801[/C][C]0.1704[/C][/ROW]
[ROW][C]111[/C][C]0.828889[/C][C]0.342221[/C][C]0.171111[/C][/ROW]
[ROW][C]112[/C][C]0.82174[/C][C]0.35652[/C][C]0.17826[/C][/ROW]
[ROW][C]113[/C][C]0.898197[/C][C]0.203606[/C][C]0.101803[/C][/ROW]
[ROW][C]114[/C][C]0.894848[/C][C]0.210304[/C][C]0.105152[/C][/ROW]
[ROW][C]115[/C][C]0.953359[/C][C]0.0932829[/C][C]0.0466415[/C][/ROW]
[ROW][C]116[/C][C]0.974612[/C][C]0.0507751[/C][C]0.0253875[/C][/ROW]
[ROW][C]117[/C][C]0.974849[/C][C]0.0503028[/C][C]0.0251514[/C][/ROW]
[ROW][C]118[/C][C]0.977429[/C][C]0.0451428[/C][C]0.0225714[/C][/ROW]
[ROW][C]119[/C][C]0.982051[/C][C]0.035897[/C][C]0.0179485[/C][/ROW]
[ROW][C]120[/C][C]0.989481[/C][C]0.0210374[/C][C]0.0105187[/C][/ROW]
[ROW][C]121[/C][C]0.992643[/C][C]0.0147141[/C][C]0.00735703[/C][/ROW]
[ROW][C]122[/C][C]0.99493[/C][C]0.0101404[/C][C]0.00507022[/C][/ROW]
[ROW][C]123[/C][C]0.997285[/C][C]0.00542994[/C][C]0.00271497[/C][/ROW]
[ROW][C]124[/C][C]0.998557[/C][C]0.00288572[/C][C]0.00144286[/C][/ROW]
[ROW][C]125[/C][C]0.998677[/C][C]0.00264636[/C][C]0.00132318[/C][/ROW]
[ROW][C]126[/C][C]0.998512[/C][C]0.00297622[/C][C]0.00148811[/C][/ROW]
[ROW][C]127[/C][C]0.998984[/C][C]0.00203218[/C][C]0.00101609[/C][/ROW]
[ROW][C]128[/C][C]0.998773[/C][C]0.0024531[/C][C]0.00122655[/C][/ROW]
[ROW][C]129[/C][C]0.999411[/C][C]0.00117811[/C][C]0.000589056[/C][/ROW]
[ROW][C]130[/C][C]0.999419[/C][C]0.00116139[/C][C]0.000580696[/C][/ROW]
[ROW][C]131[/C][C]0.999401[/C][C]0.00119893[/C][C]0.000599465[/C][/ROW]
[ROW][C]132[/C][C]0.999379[/C][C]0.00124116[/C][C]0.000620582[/C][/ROW]
[ROW][C]133[/C][C]0.999327[/C][C]0.0013463[/C][C]0.000673151[/C][/ROW]
[ROW][C]134[/C][C]0.999275[/C][C]0.00145095[/C][C]0.000725477[/C][/ROW]
[ROW][C]135[/C][C]0.999091[/C][C]0.00181793[/C][C]0.000908964[/C][/ROW]
[ROW][C]136[/C][C]0.998865[/C][C]0.00226927[/C][C]0.00113463[/C][/ROW]
[ROW][C]137[/C][C]0.999368[/C][C]0.00126363[/C][C]0.000631813[/C][/ROW]
[ROW][C]138[/C][C]0.999303[/C][C]0.00139366[/C][C]0.00069683[/C][/ROW]
[ROW][C]139[/C][C]0.999442[/C][C]0.00111559[/C][C]0.000557795[/C][/ROW]
[ROW][C]140[/C][C]0.99939[/C][C]0.00121909[/C][C]0.000609547[/C][/ROW]
[ROW][C]141[/C][C]0.999208[/C][C]0.00158418[/C][C]0.00079209[/C][/ROW]
[ROW][C]142[/C][C]0.999623[/C][C]0.0007547[/C][C]0.00037735[/C][/ROW]
[ROW][C]143[/C][C]0.999651[/C][C]0.000698502[/C][C]0.000349251[/C][/ROW]
[ROW][C]144[/C][C]0.999757[/C][C]0.000485247[/C][C]0.000242623[/C][/ROW]
[ROW][C]145[/C][C]0.999746[/C][C]0.000507497[/C][C]0.000253749[/C][/ROW]
[ROW][C]146[/C][C]0.99976[/C][C]0.00048092[/C][C]0.00024046[/C][/ROW]
[ROW][C]147[/C][C]0.999692[/C][C]0.000615892[/C][C]0.000307946[/C][/ROW]
[ROW][C]148[/C][C]0.999634[/C][C]0.000732683[/C][C]0.000366341[/C][/ROW]
[ROW][C]149[/C][C]0.999616[/C][C]0.000767936[/C][C]0.000383968[/C][/ROW]
[ROW][C]150[/C][C]0.999699[/C][C]0.000601946[/C][C]0.000300973[/C][/ROW]
[ROW][C]151[/C][C]0.999894[/C][C]0.000211937[/C][C]0.000105969[/C][/ROW]
[ROW][C]152[/C][C]0.999871[/C][C]0.000258853[/C][C]0.000129427[/C][/ROW]
[ROW][C]153[/C][C]0.999897[/C][C]0.000206109[/C][C]0.000103054[/C][/ROW]
[ROW][C]154[/C][C]0.999896[/C][C]0.000208569[/C][C]0.000104284[/C][/ROW]
[ROW][C]155[/C][C]0.999906[/C][C]0.000188288[/C][C]9.41438e-05[/C][/ROW]
[ROW][C]156[/C][C]0.999876[/C][C]0.000248236[/C][C]0.000124118[/C][/ROW]
[ROW][C]157[/C][C]0.999864[/C][C]0.000272352[/C][C]0.000136176[/C][/ROW]
[ROW][C]158[/C][C]0.999846[/C][C]0.000308433[/C][C]0.000154217[/C][/ROW]
[ROW][C]159[/C][C]0.999813[/C][C]0.000373551[/C][C]0.000186776[/C][/ROW]
[ROW][C]160[/C][C]0.999755[/C][C]0.000490935[/C][C]0.000245468[/C][/ROW]
[ROW][C]161[/C][C]0.999748[/C][C]0.00050349[/C][C]0.000251745[/C][/ROW]
[ROW][C]162[/C][C]0.999738[/C][C]0.000524544[/C][C]0.000262272[/C][/ROW]
[ROW][C]163[/C][C]0.999705[/C][C]0.000589111[/C][C]0.000294555[/C][/ROW]
[ROW][C]164[/C][C]0.999968[/C][C]6.44565e-05[/C][C]3.22283e-05[/C][/ROW]
[ROW][C]165[/C][C]0.999967[/C][C]6.68306e-05[/C][C]3.34153e-05[/C][/ROW]
[ROW][C]166[/C][C]0.999953[/C][C]9.33114e-05[/C][C]4.66557e-05[/C][/ROW]
[ROW][C]167[/C][C]0.999956[/C][C]8.78517e-05[/C][C]4.39259e-05[/C][/ROW]
[ROW][C]168[/C][C]0.999961[/C][C]7.72531e-05[/C][C]3.86265e-05[/C][/ROW]
[ROW][C]169[/C][C]0.99995[/C][C]0.000100524[/C][C]5.02621e-05[/C][/ROW]
[ROW][C]170[/C][C]0.999951[/C][C]9.74461e-05[/C][C]4.8723e-05[/C][/ROW]
[ROW][C]171[/C][C]0.999942[/C][C]0.000115066[/C][C]5.75331e-05[/C][/ROW]
[ROW][C]172[/C][C]0.999964[/C][C]7.21063e-05[/C][C]3.60532e-05[/C][/ROW]
[ROW][C]173[/C][C]0.99996[/C][C]8.04845e-05[/C][C]4.02422e-05[/C][/ROW]
[ROW][C]174[/C][C]0.999949[/C][C]0.000102731[/C][C]5.13654e-05[/C][/ROW]
[ROW][C]175[/C][C]0.999935[/C][C]0.000130898[/C][C]6.54492e-05[/C][/ROW]
[ROW][C]176[/C][C]0.999947[/C][C]0.000106786[/C][C]5.33929e-05[/C][/ROW]
[ROW][C]177[/C][C]0.999935[/C][C]0.000129289[/C][C]6.46444e-05[/C][/ROW]
[ROW][C]178[/C][C]0.999968[/C][C]6.32753e-05[/C][C]3.16376e-05[/C][/ROW]
[ROW][C]179[/C][C]0.99996[/C][C]7.98566e-05[/C][C]3.99283e-05[/C][/ROW]
[ROW][C]180[/C][C]0.999961[/C][C]7.74489e-05[/C][C]3.87244e-05[/C][/ROW]
[ROW][C]181[/C][C]0.999959[/C][C]8.11728e-05[/C][C]4.05864e-05[/C][/ROW]
[ROW][C]182[/C][C]0.999943[/C][C]0.00011495[/C][C]5.74752e-05[/C][/ROW]
[ROW][C]183[/C][C]0.999933[/C][C]0.000133679[/C][C]6.68395e-05[/C][/ROW]
[ROW][C]184[/C][C]0.999914[/C][C]0.00017291[/C][C]8.64551e-05[/C][/ROW]
[ROW][C]185[/C][C]0.999907[/C][C]0.000186792[/C][C]9.33958e-05[/C][/ROW]
[ROW][C]186[/C][C]0.999874[/C][C]0.000251798[/C][C]0.000125899[/C][/ROW]
[ROW][C]187[/C][C]0.999926[/C][C]0.000147428[/C][C]7.37138e-05[/C][/ROW]
[ROW][C]188[/C][C]0.999907[/C][C]0.000186673[/C][C]9.33364e-05[/C][/ROW]
[ROW][C]189[/C][C]0.999869[/C][C]0.000262345[/C][C]0.000131172[/C][/ROW]
[ROW][C]190[/C][C]0.999826[/C][C]0.000347576[/C][C]0.000173788[/C][/ROW]
[ROW][C]191[/C][C]0.999767[/C][C]0.000466456[/C][C]0.000233228[/C][/ROW]
[ROW][C]192[/C][C]0.99969[/C][C]0.000619538[/C][C]0.000309769[/C][/ROW]
[ROW][C]193[/C][C]0.999657[/C][C]0.00068597[/C][C]0.000342985[/C][/ROW]
[ROW][C]194[/C][C]0.999845[/C][C]0.00031017[/C][C]0.000155085[/C][/ROW]
[ROW][C]195[/C][C]0.999799[/C][C]0.000402225[/C][C]0.000201112[/C][/ROW]
[ROW][C]196[/C][C]0.999737[/C][C]0.000525382[/C][C]0.000262691[/C][/ROW]
[ROW][C]197[/C][C]0.999709[/C][C]0.000582851[/C][C]0.000291425[/C][/ROW]
[ROW][C]198[/C][C]0.999641[/C][C]0.000717681[/C][C]0.000358841[/C][/ROW]
[ROW][C]199[/C][C]0.999724[/C][C]0.00055245[/C][C]0.000276225[/C][/ROW]
[ROW][C]200[/C][C]0.999697[/C][C]0.000605601[/C][C]0.0003028[/C][/ROW]
[ROW][C]201[/C][C]0.999668[/C][C]0.000663375[/C][C]0.000331687[/C][/ROW]
[ROW][C]202[/C][C]0.999643[/C][C]0.000714518[/C][C]0.000357259[/C][/ROW]
[ROW][C]203[/C][C]0.999541[/C][C]0.000918586[/C][C]0.000459293[/C][/ROW]
[ROW][C]204[/C][C]0.999387[/C][C]0.00122523[/C][C]0.000612615[/C][/ROW]
[ROW][C]205[/C][C]0.999163[/C][C]0.00167462[/C][C]0.00083731[/C][/ROW]
[ROW][C]206[/C][C]0.999252[/C][C]0.00149547[/C][C]0.000747737[/C][/ROW]
[ROW][C]207[/C][C]0.998956[/C][C]0.00208818[/C][C]0.00104409[/C][/ROW]
[ROW][C]208[/C][C]0.998778[/C][C]0.00244372[/C][C]0.00122186[/C][/ROW]
[ROW][C]209[/C][C]0.998937[/C][C]0.00212648[/C][C]0.00106324[/C][/ROW]
[ROW][C]210[/C][C]0.998806[/C][C]0.00238808[/C][C]0.00119404[/C][/ROW]
[ROW][C]211[/C][C]0.998315[/C][C]0.00337094[/C][C]0.00168547[/C][/ROW]
[ROW][C]212[/C][C]0.997767[/C][C]0.00446621[/C][C]0.0022331[/C][/ROW]
[ROW][C]213[/C][C]0.997821[/C][C]0.00435895[/C][C]0.00217947[/C][/ROW]
[ROW][C]214[/C][C]0.997465[/C][C]0.00506979[/C][C]0.00253489[/C][/ROW]
[ROW][C]215[/C][C]0.997212[/C][C]0.00557698[/C][C]0.00278849[/C][/ROW]
[ROW][C]216[/C][C]0.996255[/C][C]0.00748951[/C][C]0.00374475[/C][/ROW]
[ROW][C]217[/C][C]0.99603[/C][C]0.00794095[/C][C]0.00397048[/C][/ROW]
[ROW][C]218[/C][C]0.995233[/C][C]0.00953419[/C][C]0.00476709[/C][/ROW]
[ROW][C]219[/C][C]0.993477[/C][C]0.0130467[/C][C]0.00652333[/C][/ROW]
[ROW][C]220[/C][C]0.991155[/C][C]0.0176899[/C][C]0.00884497[/C][/ROW]
[ROW][C]221[/C][C]0.992334[/C][C]0.0153323[/C][C]0.00766613[/C][/ROW]
[ROW][C]222[/C][C]0.991802[/C][C]0.016397[/C][C]0.00819849[/C][/ROW]
[ROW][C]223[/C][C]0.988843[/C][C]0.0223139[/C][C]0.011157[/C][/ROW]
[ROW][C]224[/C][C]0.989765[/C][C]0.0204704[/C][C]0.0102352[/C][/ROW]
[ROW][C]225[/C][C]0.98769[/C][C]0.0246199[/C][C]0.01231[/C][/ROW]
[ROW][C]226[/C][C]0.993099[/C][C]0.0138027[/C][C]0.00690135[/C][/ROW]
[ROW][C]227[/C][C]0.994993[/C][C]0.0100142[/C][C]0.00500711[/C][/ROW]
[ROW][C]228[/C][C]0.995318[/C][C]0.00936325[/C][C]0.00468163[/C][/ROW]
[ROW][C]229[/C][C]0.993726[/C][C]0.0125471[/C][C]0.00627353[/C][/ROW]
[ROW][C]230[/C][C]0.994735[/C][C]0.0105304[/C][C]0.00526522[/C][/ROW]
[ROW][C]231[/C][C]0.997571[/C][C]0.00485811[/C][C]0.00242906[/C][/ROW]
[ROW][C]232[/C][C]0.996642[/C][C]0.00671664[/C][C]0.00335832[/C][/ROW]
[ROW][C]233[/C][C]0.99529[/C][C]0.00942047[/C][C]0.00471024[/C][/ROW]
[ROW][C]234[/C][C]0.994458[/C][C]0.0110846[/C][C]0.00554231[/C][/ROW]
[ROW][C]235[/C][C]0.992918[/C][C]0.0141635[/C][C]0.00708175[/C][/ROW]
[ROW][C]236[/C][C]0.999025[/C][C]0.00194964[/C][C]0.000974821[/C][/ROW]
[ROW][C]237[/C][C]0.998973[/C][C]0.00205497[/C][C]0.00102748[/C][/ROW]
[ROW][C]238[/C][C]0.998572[/C][C]0.00285557[/C][C]0.00142778[/C][/ROW]
[ROW][C]239[/C][C]0.997762[/C][C]0.00447571[/C][C]0.00223786[/C][/ROW]
[ROW][C]240[/C][C]0.996761[/C][C]0.00647803[/C][C]0.00323902[/C][/ROW]
[ROW][C]241[/C][C]0.995797[/C][C]0.00840544[/C][C]0.00420272[/C][/ROW]
[ROW][C]242[/C][C]0.993541[/C][C]0.0129181[/C][C]0.00645904[/C][/ROW]
[ROW][C]243[/C][C]0.991797[/C][C]0.0164056[/C][C]0.00820282[/C][/ROW]
[ROW][C]244[/C][C]0.988345[/C][C]0.0233093[/C][C]0.0116547[/C][/ROW]
[ROW][C]245[/C][C]0.98288[/C][C]0.0342408[/C][C]0.0171204[/C][/ROW]
[ROW][C]246[/C][C]0.975179[/C][C]0.0496412[/C][C]0.0248206[/C][/ROW]
[ROW][C]247[/C][C]0.966946[/C][C]0.0661084[/C][C]0.0330542[/C][/ROW]
[ROW][C]248[/C][C]0.956532[/C][C]0.0869363[/C][C]0.0434682[/C][/ROW]
[ROW][C]249[/C][C]0.940592[/C][C]0.118815[/C][C]0.0594077[/C][/ROW]
[ROW][C]250[/C][C]0.918601[/C][C]0.162798[/C][C]0.0813991[/C][/ROW]
[ROW][C]251[/C][C]0.891459[/C][C]0.217081[/C][C]0.108541[/C][/ROW]
[ROW][C]252[/C][C]0.882895[/C][C]0.23421[/C][C]0.117105[/C][/ROW]
[ROW][C]253[/C][C]0.846546[/C][C]0.306909[/C][C]0.153454[/C][/ROW]
[ROW][C]254[/C][C]0.80377[/C][C]0.392461[/C][C]0.19623[/C][/ROW]
[ROW][C]255[/C][C]0.844624[/C][C]0.310752[/C][C]0.155376[/C][/ROW]
[ROW][C]256[/C][C]0.797194[/C][C]0.405612[/C][C]0.202806[/C][/ROW]
[ROW][C]257[/C][C]0.850456[/C][C]0.299088[/C][C]0.149544[/C][/ROW]
[ROW][C]258[/C][C]0.934013[/C][C]0.131973[/C][C]0.0659867[/C][/ROW]
[ROW][C]259[/C][C]0.931071[/C][C]0.137858[/C][C]0.0689291[/C][/ROW]
[ROW][C]260[/C][C]0.99939[/C][C]0.0012199[/C][C]0.000609951[/C][/ROW]
[ROW][C]261[/C][C]0.998535[/C][C]0.00292926[/C][C]0.00146463[/C][/ROW]
[ROW][C]262[/C][C]0.998931[/C][C]0.00213841[/C][C]0.0010692[/C][/ROW]
[ROW][C]263[/C][C]0.999922[/C][C]0.000156691[/C][C]7.83455e-05[/C][/ROW]
[ROW][C]264[/C][C]0.999722[/C][C]0.000555339[/C][C]0.000277669[/C][/ROW]
[ROW][C]265[/C][C]0.999606[/C][C]0.000788375[/C][C]0.000394187[/C][/ROW]
[ROW][C]266[/C][C]0.998909[/C][C]0.00218251[/C][C]0.00109125[/C][/ROW]
[ROW][C]267[/C][C]0.999452[/C][C]0.00109507[/C][C]0.000547533[/C][/ROW]
[ROW][C]268[/C][C]0.998055[/C][C]0.00389032[/C][C]0.00194516[/C][/ROW]
[ROW][C]269[/C][C]0.999397[/C][C]0.00120621[/C][C]0.000603103[/C][/ROW]
[ROW][C]270[/C][C]0.99756[/C][C]0.00487928[/C][C]0.00243964[/C][/ROW]
[ROW][C]271[/C][C]0.978266[/C][C]0.0434672[/C][C]0.0217336[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=269399&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=269399&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
80.1192130.2384260.880787
90.1251280.2502570.874872
100.4121530.8243070.587847
110.3632210.7264430.636779
120.4316740.8633480.568326
130.4087630.8175260.591237
140.3240480.6480970.675952
150.251450.50290.74855
160.2263590.4527180.773641
170.166230.332460.83377
180.1185330.2370660.881467
190.0832310.1664620.916769
200.06423650.1284730.935764
210.1035860.2071720.896414
220.143640.287280.85636
230.113570.227140.88643
240.09155810.1831160.908442
250.06993480.139870.930065
260.05627510.112550.943725
270.06483080.1296620.935169
280.05574550.1114910.944255
290.09663310.1932660.903367
300.07356890.1471380.926431
310.06509070.1301810.934909
320.06104280.1220860.938957
330.05816020.116320.94184
340.05359230.1071850.946408
350.04195280.08390570.958047
360.03181140.06362280.968189
370.02435750.04871510.975642
380.03719160.07438320.962808
390.03845510.07691030.961545
400.02982650.0596530.970174
410.06009890.1201980.939901
420.0482530.0965060.951747
430.04113480.08226970.958865
440.03619360.07238710.963806
450.03439650.06879310.965603
460.02886770.05773550.971132
470.02332550.0466510.976675
480.02314850.04629710.976851
490.02324540.04649080.976755
500.02376330.04752650.976237
510.0187670.0375340.981233
520.01884670.03769340.981153
530.01507380.03014760.984926
540.01456160.02912320.985438
550.01508250.0301650.984917
560.01222960.02445920.98777
570.03252060.06504120.967479
580.04405380.08810760.955946
590.03511950.0702390.964881
600.03359950.06719910.9664
610.0500810.1001620.949919
620.04952830.09905660.950472
630.06329340.1265870.936707
640.07845570.1569110.921544
650.0843720.1687440.915628
660.07329180.1465840.926708
670.0777520.1555040.922248
680.09122470.1824490.908775
690.1099070.2198140.890093
700.1009040.2018090.899096
710.09631460.1926290.903685
720.08639080.1727820.913609
730.08054180.1610840.919458
740.09183080.1836620.908169
750.08297970.1659590.91702
760.07631280.1526260.923687
770.07346810.1469360.926532
780.06915240.1383050.930848
790.05728870.1145770.942711
800.07752490.155050.922475
810.06655140.1331030.933449
820.07121450.1424290.928786
830.06228070.1245610.937719
840.161680.323360.83832
850.1602790.3205580.839721
860.1476460.2952930.852354
870.1313470.2626930.868653
880.1198190.2396370.880181
890.1219360.2438730.878064
900.1208880.2417770.879112
910.11790.23580.8821
920.2180540.4361070.781946
930.2412760.4825520.758724
940.2368180.4736360.763182
950.2495780.4991550.750422
960.2482050.496410.751795
970.3411310.6822610.658869
980.3255980.6511960.674402
990.3515220.7030440.648478
1000.4328050.8656090.567195
1010.4045860.8091720.595414
1020.4045670.8091340.595433
1030.4030890.8061770.596911
1040.4301430.8602850.569857
1050.4676020.9352040.532398
1060.4888560.9777110.511144
1070.5077790.9844420.492221
1080.7758050.448390.224195
1090.824230.3515390.17577
1100.82960.3408010.1704
1110.8288890.3422210.171111
1120.821740.356520.17826
1130.8981970.2036060.101803
1140.8948480.2103040.105152
1150.9533590.09328290.0466415
1160.9746120.05077510.0253875
1170.9748490.05030280.0251514
1180.9774290.04514280.0225714
1190.9820510.0358970.0179485
1200.9894810.02103740.0105187
1210.9926430.01471410.00735703
1220.994930.01014040.00507022
1230.9972850.005429940.00271497
1240.9985570.002885720.00144286
1250.9986770.002646360.00132318
1260.9985120.002976220.00148811
1270.9989840.002032180.00101609
1280.9987730.00245310.00122655
1290.9994110.001178110.000589056
1300.9994190.001161390.000580696
1310.9994010.001198930.000599465
1320.9993790.001241160.000620582
1330.9993270.00134630.000673151
1340.9992750.001450950.000725477
1350.9990910.001817930.000908964
1360.9988650.002269270.00113463
1370.9993680.001263630.000631813
1380.9993030.001393660.00069683
1390.9994420.001115590.000557795
1400.999390.001219090.000609547
1410.9992080.001584180.00079209
1420.9996230.00075470.00037735
1430.9996510.0006985020.000349251
1440.9997570.0004852470.000242623
1450.9997460.0005074970.000253749
1460.999760.000480920.00024046
1470.9996920.0006158920.000307946
1480.9996340.0007326830.000366341
1490.9996160.0007679360.000383968
1500.9996990.0006019460.000300973
1510.9998940.0002119370.000105969
1520.9998710.0002588530.000129427
1530.9998970.0002061090.000103054
1540.9998960.0002085690.000104284
1550.9999060.0001882889.41438e-05
1560.9998760.0002482360.000124118
1570.9998640.0002723520.000136176
1580.9998460.0003084330.000154217
1590.9998130.0003735510.000186776
1600.9997550.0004909350.000245468
1610.9997480.000503490.000251745
1620.9997380.0005245440.000262272
1630.9997050.0005891110.000294555
1640.9999686.44565e-053.22283e-05
1650.9999676.68306e-053.34153e-05
1660.9999539.33114e-054.66557e-05
1670.9999568.78517e-054.39259e-05
1680.9999617.72531e-053.86265e-05
1690.999950.0001005245.02621e-05
1700.9999519.74461e-054.8723e-05
1710.9999420.0001150665.75331e-05
1720.9999647.21063e-053.60532e-05
1730.999968.04845e-054.02422e-05
1740.9999490.0001027315.13654e-05
1750.9999350.0001308986.54492e-05
1760.9999470.0001067865.33929e-05
1770.9999350.0001292896.46444e-05
1780.9999686.32753e-053.16376e-05
1790.999967.98566e-053.99283e-05
1800.9999617.74489e-053.87244e-05
1810.9999598.11728e-054.05864e-05
1820.9999430.000114955.74752e-05
1830.9999330.0001336796.68395e-05
1840.9999140.000172918.64551e-05
1850.9999070.0001867929.33958e-05
1860.9998740.0002517980.000125899
1870.9999260.0001474287.37138e-05
1880.9999070.0001866739.33364e-05
1890.9998690.0002623450.000131172
1900.9998260.0003475760.000173788
1910.9997670.0004664560.000233228
1920.999690.0006195380.000309769
1930.9996570.000685970.000342985
1940.9998450.000310170.000155085
1950.9997990.0004022250.000201112
1960.9997370.0005253820.000262691
1970.9997090.0005828510.000291425
1980.9996410.0007176810.000358841
1990.9997240.000552450.000276225
2000.9996970.0006056010.0003028
2010.9996680.0006633750.000331687
2020.9996430.0007145180.000357259
2030.9995410.0009185860.000459293
2040.9993870.001225230.000612615
2050.9991630.001674620.00083731
2060.9992520.001495470.000747737
2070.9989560.002088180.00104409
2080.9987780.002443720.00122186
2090.9989370.002126480.00106324
2100.9988060.002388080.00119404
2110.9983150.003370940.00168547
2120.9977670.004466210.0022331
2130.9978210.004358950.00217947
2140.9974650.005069790.00253489
2150.9972120.005576980.00278849
2160.9962550.007489510.00374475
2170.996030.007940950.00397048
2180.9952330.009534190.00476709
2190.9934770.01304670.00652333
2200.9911550.01768990.00884497
2210.9923340.01533230.00766613
2220.9918020.0163970.00819849
2230.9888430.02231390.011157
2240.9897650.02047040.0102352
2250.987690.02461990.01231
2260.9930990.01380270.00690135
2270.9949930.01001420.00500711
2280.9953180.009363250.00468163
2290.9937260.01254710.00627353
2300.9947350.01053040.00526522
2310.9975710.004858110.00242906
2320.9966420.006716640.00335832
2330.995290.009420470.00471024
2340.9944580.01108460.00554231
2350.9929180.01416350.00708175
2360.9990250.001949640.000974821
2370.9989730.002054970.00102748
2380.9985720.002855570.00142778
2390.9977620.004475710.00223786
2400.9967610.006478030.00323902
2410.9957970.008405440.00420272
2420.9935410.01291810.00645904
2430.9917970.01640560.00820282
2440.9883450.02330930.0116547
2450.982880.03424080.0171204
2460.9751790.04964120.0248206
2470.9669460.06610840.0330542
2480.9565320.08693630.0434682
2490.9405920.1188150.0594077
2500.9186010.1627980.0813991
2510.8914590.2170810.108541
2520.8828950.234210.117105
2530.8465460.3069090.153454
2540.803770.3924610.19623
2550.8446240.3107520.155376
2560.7971940.4056120.202806
2570.8504560.2990880.149544
2580.9340130.1319730.0659867
2590.9310710.1378580.0689291
2600.999390.00121990.000609951
2610.9985350.002929260.00146463
2620.9989310.002138410.0010692
2630.9999220.0001566917.83455e-05
2640.9997220.0005553390.000277669
2650.9996060.0007883750.000394187
2660.9989090.002182510.00109125
2670.9994520.001095070.000547533
2680.9980550.003890320.00194516
2690.9993970.001206210.000603103
2700.997560.004879280.00243964
2710.9782660.04346720.0217336






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level1170.443182NOK
5% type I error level1520.575758NOK
10% type I error level1720.651515NOK

\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 & 117 & 0.443182 & NOK \tabularnewline
5% type I error level & 152 & 0.575758 & NOK \tabularnewline
10% type I error level & 172 & 0.651515 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=269399&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]117[/C][C]0.443182[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]152[/C][C]0.575758[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]172[/C][C]0.651515[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=269399&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=269399&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 level1170.443182NOK
5% type I error level1520.575758NOK
10% type I error level1720.651515NOK


Figures (Output of Computation)

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Input Parameters & R Code

Parameters (Session):
par1 = 4 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;
Parameters (R input):
par1 = 4 ; 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')
}