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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 computationMon, 15 Dec 2014 20:43:53 +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/15/t14186764435y3mvknqs1l0jui.htm/, Retrieved Thu, 16 May 2024 10:25:31 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=269024, Retrieved Thu, 16 May 2024 10:25:31 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact68

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Multiple Regression] [] [2014-12-15 20:43:53] [6398a3f6f1f2f5e55f0ec79c736f94f8] [Current]
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Dataset

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

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time12 seconds
R Server'Sir Maurice George Kendall' @ kendall.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 12 seconds \tabularnewline
R Server & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=269024&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]12 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=269024&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=269024&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 time12 seconds
R Server'Sir Maurice George Kendall' @ kendall.wessa.net






Multiple Linear Regression - Estimated Regression Equation
TOT[t] = + 8.92944 -0.692506gender[t] + 0.0147444LFM[t] + 0.0482838CH[t] + 0.894363Calculation[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
TOT[t] =  +  8.92944 -0.692506gender[t] +  0.0147444LFM[t] +  0.0482838CH[t] +  0.894363Calculation[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=269024&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]TOT[t] =  +  8.92944 -0.692506gender[t] +  0.0147444LFM[t] +  0.0482838CH[t] +  0.894363Calculation[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=269024&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=269024&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] = + 8.92944 -0.692506gender[t] + 0.0147444LFM[t] + 0.0482838CH[t] + 0.894363Calculation[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)8.929440.9936488.9874.33424e-172.16712e-17
gender-0.6925060.386162-1.7930.0740310.0370155
LFM0.01474440.005261692.8020.00543860.0027193
CH0.04828380.01110424.3481.93914e-059.69569e-06
Calculation0.8943631.064580.84010.4015810.200791

\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) & 8.92944 & 0.993648 & 8.987 & 4.33424e-17 & 2.16712e-17 \tabularnewline
gender & -0.692506 & 0.386162 & -1.793 & 0.074031 & 0.0370155 \tabularnewline
LFM & 0.0147444 & 0.00526169 & 2.802 & 0.0054386 & 0.0027193 \tabularnewline
CH & 0.0482838 & 0.0111042 & 4.348 & 1.93914e-05 & 9.69569e-06 \tabularnewline
Calculation & 0.894363 & 1.06458 & 0.8401 & 0.401581 & 0.200791 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=269024&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]8.92944[/C][C]0.993648[/C][C]8.987[/C][C]4.33424e-17[/C][C]2.16712e-17[/C][/ROW]
[ROW][C]gender[/C][C]-0.692506[/C][C]0.386162[/C][C]-1.793[/C][C]0.074031[/C][C]0.0370155[/C][/ROW]
[ROW][C]LFM[/C][C]0.0147444[/C][C]0.00526169[/C][C]2.802[/C][C]0.0054386[/C][C]0.0027193[/C][/ROW]
[ROW][C]CH[/C][C]0.0482838[/C][C]0.0111042[/C][C]4.348[/C][C]1.93914e-05[/C][C]9.69569e-06[/C][/ROW]
[ROW][C]Calculation[/C][C]0.894363[/C][C]1.06458[/C][C]0.8401[/C][C]0.401581[/C][C]0.200791[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=269024&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=269024&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)8.929440.9936488.9874.33424e-172.16712e-17
gender-0.6925060.386162-1.7930.0740310.0370155
LFM0.01474440.005261692.8020.00543860.0027193
CH0.04828380.01110424.3481.93914e-059.69569e-06
Calculation0.8943631.064580.84010.4015810.200791






Multiple Linear Regression - Regression Statistics
Multiple R0.410646
R-squared0.16863
Adjusted R-squared0.156449
F-TEST (value)13.8434
F-TEST (DF numerator)4
F-TEST (DF denominator)273
p-value2.70671e-10
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation3.11755
Sum Squared Residuals2653.32

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.410646 \tabularnewline
R-squared & 0.16863 \tabularnewline
Adjusted R-squared & 0.156449 \tabularnewline
F-TEST (value) & 13.8434 \tabularnewline
F-TEST (DF numerator) & 4 \tabularnewline
F-TEST (DF denominator) & 273 \tabularnewline
p-value & 2.70671e-10 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 3.11755 \tabularnewline
Sum Squared Residuals & 2653.32 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=269024&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.410646[/C][/ROW]
[ROW][C]R-squared[/C][C]0.16863[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.156449[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]13.8434[/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]2.70671e-10[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]3.11755[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]2653.32[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=269024&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=269024&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 R0.410646
R-squared0.16863
Adjusted R-squared0.156449
F-TEST (value)13.8434
F-TEST (DF numerator)4
F-TEST (DF denominator)273
p-value2.70671e-10
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation3.11755
Sum Squared Residuals2653.32






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
112.915.304-2.40402
212.212.9655-0.765457
312.813.4527-0.652676
47.414.3561-6.95613
56.712.5136-5.81357
612.614.748-2.14804
714.815.0634-0.263379
813.314.3973-1.09731
911.115.0468-3.94685
108.213.3765-5.17649
1111.413.8817-2.48175
126.414.3208-7.92078
1310.612.236-1.63601
141216.0866-4.08658
156.311.439-5.13901
1611.312.564-1.26396
1711.914.623-2.72299
189.313.0469-3.7469
199.613.1792-3.5792
201013.5839-3.58389
216.412.2044-5.80439
2213.812.42221.37782
2310.815.01-4.21005
2413.815.1364-1.33645
2511.713.8372-2.13716
2610.915.7027-4.80271
2716.115.17620.923827
2813.413.10980.290174
299.914.1899-4.28989
3011.513.7642-2.26419
318.313.0373-4.73731
3211.713.9086-2.20862
33912.6208-3.62083
349.713.9676-4.26762
3510.812.5106-1.71062
3610.311.8615-1.56154
3710.413.3341-2.93405
3812.711.83170.868271
399.313.8464-4.54639
4011.814.5993-2.79934
415.912.068-6.16796
4211.413.0539-1.65392
431314.0288-1.02884
4410.813.9005-3.10054
4512.311.34770.952277
4611.314.8021-3.50206
4711.813.2957-1.49566
487.912.3878-4.48783
4912.713.6878-0.987774
5012.310.7861.51399
5111.612.5298-0.929767
526.710.7609-4.06089
5310.912.5652-1.66522
5412.112.7686-0.668626
5513.312.95040.349642
5610.112.5316-2.43158
575.712.8663-7.16627
5814.312.85051.44948
59810.2368-2.23675
6013.312.71950.580471
619.315.0741-5.7741
6212.512.8365-0.336461
637.612.9197-5.31971
6415.915.19980.700169
659.214.2544-5.05438
669.111.2131-2.11314
6711.115.4637-4.36372
681317.115-4.11498
6914.512.86171.63833
7012.212.752-0.552013
7112.315.0391-2.73908
7211.412.9834-1.58345
738.812.9222-4.1222
7414.613.34141.25864
7512.614.0907-1.4907
76NANA-2.06114
771312.42740.572646
7812.614.4151-1.8151
7913.215.066-1.86599
809.915.2189-5.31889
817.710.0308-2.33082
8210.59.739240.760757
8313.415.7274-2.32743
8410.918.1718-7.27184
854.37.22161-2.92161
8610.312.186-1.88599
8711.812.3575-0.557549
8811.211.5822-0.382182
8911.415.2191-3.81911
908.68.432940.167063
9113.212.0241.17596
9212.618.7724-6.1724
935.69.49921-3.89921
949.913.2383-3.33829
958.812.4934-3.69345
967.711.2235-3.52345
97914.2825-5.28246
987.37.150410.149593
9911.49.199312.20069
10013.618.0429-4.44292
1017.99.05334-1.15334
10210.713.1243-2.42434
10310.313.4078-3.10784
1048.311.5309-3.23094
1059.67.779731.82027
10614.218.4225-4.22252
1078.56.952581.54742
10813.520.854-7.35401
1094.910.0544-5.15437
1106.49.8981-3.4981
1119.610.7689-1.16892
11211.611.6167-0.0166757
11311.116.9717-5.87167
1144.353.494530.855475
11512.77.53275.1673
11618.113.43844.66156
11717.8517.69880.151167
11816.614.32162.27839
11912.610.67661.92337
12017.113.53153.56853
12119.121.3802-2.28024
12216.113.79952.30053
12313.359.30174.0483
12418.414.12884.27123
12514.716.1971-1.4971
12610.69.776450.823553
12712.69.352523.24748
12816.215.72580.474199
12913.68.949544.65046
13018.916.33612.56394
13114.111.23122.86883
13214.514.37280.127233
13316.1513.6072.54305
13414.7512.53472.2153
13514.813.79241.00759
13612.4511.8230.62698
13712.657.467125.18288
13817.3519.5602-2.21021
1398.65.567053.03295
14018.416.53441.86556
14116.115.49350.606465
14211.65.943435.65657
14317.7516.2481.50198
14415.2510.56694.68309
14517.6515.58642.06357
14616.3513.89682.45324
14717.6516.1881.462
14813.612.51031.08971
14914.3512.94361.40639
15014.759.71065.0394
15118.2522.3054-4.05544
1529.98.188591.71141
1531610.96615.03389
15418.2515.73772.51234
15516.8513.5913.25899
15614.613.79910.80094
15713.8510.35633.49368
15818.9516.57452.37549
15915.615.59740.00263394
16014.8515.4204-0.570374
16111.758.24173.5083
16218.4514.69683.75316
16315.913.92311.97686
16417.111.17295.92707
16516.111.8874.21298
16619.919.37960.52045
16710.957.309353.64065
16818.4514.33134.11869
16915.113.37791.72212
1701517.1399-2.13988
17111.358.224983.12502
17215.9511.83194.11812
17318.117.26930.830701
17414.612.0662.53403
17515.412.8662.53403
17615.411.11044.28959
17717.617.6301-0.0300808
17813.358.381244.96876
17919.117.49651.60355
18015.3518.9668-3.61681
1817.69.16522-1.56522
18213.412.89260.507437
18313.99.063614.83639
18419.117.76441.33555
18515.2514.99890.251142
18612.910.90131.9987
18716.111.22844.87156
18817.3517.4764-0.12642
18913.1512.51760.632405
19012.1511.31710.832893
19112.613.4712-0.871241
19210.357.793112.55689
19315.416.8459-1.44587
1949.64.349985.25002
19518.216.65161.54836
19613.611.03382.56616
19714.8514.8040.0459955
19814.7513.2631.48697
19914.110.98933.11075
20014.911.9252.97497
20116.2511.98244.26761
20219.2516.89492.35513
20313.613.34580.25416
20413.611.3822.21803
20515.6514.40591.24411
20612.759.914852.83515
20714.616.363-1.76302
2089.858.158431.69157
20912.658.077094.57291
21019.215.67753.52248
21116.616.9371-0.337059
21211.28.626112.57389
21315.2517.4016-2.15162
21411.910.86441.0356
21513.212.17761.02236
21616.3515.84810.501902
21712.48.926113.47389
21815.8511.05324.79678
21918.1518.8548-0.704793
22011.159.437651.71235
22115.6511.17884.47124
22217.7521.6422-3.89223
2237.656.582491.06751
22412.357.891374.45863
22515.610.65514.94493
22619.315.80993.49008
22715.210.5664.63396
22817.113.24943.85055
22915.612.02643.57364
23018.413.20195.19812
23119.0513.36235.68774
23218.5515.34383.20624
23319.117.63411.46592
23413.112.96710.132928
23512.8514.4287-1.57867
2369.515.8007-6.30065
2374.53.759120.740876
23811.8511.39690.453134
23913.613.5780.0220272
24011.710.83980.860244
24112.412.845-0.445036
24213.3514.4856-1.13557
24311.48.435262.96474
24414.910.6874.21298
24519.919.81990.0800543
24611.29.677871.52213
24714.612.47152.12854
24817.615.49632.10369
24914.0512.47851.57147
25016.114.74131.35868
25113.3513.401-0.0509746
25211.8513.5549-1.70491
25311.959.982981.96702
25414.7513.41491.33507
25515.1515.1687-0.0187049
25613.210.54612.65395
25716.8519.9386-3.08861
2587.8512.6004-4.75041
2597.78.7694-1.0694
26012.616.919-4.31901
2617.857.329550.52045
26210.9511.4595-0.509525
26312.3514.1337-1.78367
2649.956.985262.96474
26514.911.16793.7321
26616.6515.19331.45674
26713.411.50311.89691
26813.9510.67693.2731
26915.711.54124.15882
27016.8517.2701-0.420143
27110.957.817193.13281
27215.3514.32151.0285
27312.210.12522.07483
27415.111.66143.43859
27517.7515.59362.15645
27615.213.59741.60259
27714.611.79592.80409
27816.6518.9109-2.26091
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 & 15.304 & -2.40402 \tabularnewline
2 & 12.2 & 12.9655 & -0.765457 \tabularnewline
3 & 12.8 & 13.4527 & -0.652676 \tabularnewline
4 & 7.4 & 14.3561 & -6.95613 \tabularnewline
5 & 6.7 & 12.5136 & -5.81357 \tabularnewline
6 & 12.6 & 14.748 & -2.14804 \tabularnewline
7 & 14.8 & 15.0634 & -0.263379 \tabularnewline
8 & 13.3 & 14.3973 & -1.09731 \tabularnewline
9 & 11.1 & 15.0468 & -3.94685 \tabularnewline
10 & 8.2 & 13.3765 & -5.17649 \tabularnewline
11 & 11.4 & 13.8817 & -2.48175 \tabularnewline
12 & 6.4 & 14.3208 & -7.92078 \tabularnewline
13 & 10.6 & 12.236 & -1.63601 \tabularnewline
14 & 12 & 16.0866 & -4.08658 \tabularnewline
15 & 6.3 & 11.439 & -5.13901 \tabularnewline
16 & 11.3 & 12.564 & -1.26396 \tabularnewline
17 & 11.9 & 14.623 & -2.72299 \tabularnewline
18 & 9.3 & 13.0469 & -3.7469 \tabularnewline
19 & 9.6 & 13.1792 & -3.5792 \tabularnewline
20 & 10 & 13.5839 & -3.58389 \tabularnewline
21 & 6.4 & 12.2044 & -5.80439 \tabularnewline
22 & 13.8 & 12.4222 & 1.37782 \tabularnewline
23 & 10.8 & 15.01 & -4.21005 \tabularnewline
24 & 13.8 & 15.1364 & -1.33645 \tabularnewline
25 & 11.7 & 13.8372 & -2.13716 \tabularnewline
26 & 10.9 & 15.7027 & -4.80271 \tabularnewline
27 & 16.1 & 15.1762 & 0.923827 \tabularnewline
28 & 13.4 & 13.1098 & 0.290174 \tabularnewline
29 & 9.9 & 14.1899 & -4.28989 \tabularnewline
30 & 11.5 & 13.7642 & -2.26419 \tabularnewline
31 & 8.3 & 13.0373 & -4.73731 \tabularnewline
32 & 11.7 & 13.9086 & -2.20862 \tabularnewline
33 & 9 & 12.6208 & -3.62083 \tabularnewline
34 & 9.7 & 13.9676 & -4.26762 \tabularnewline
35 & 10.8 & 12.5106 & -1.71062 \tabularnewline
36 & 10.3 & 11.8615 & -1.56154 \tabularnewline
37 & 10.4 & 13.3341 & -2.93405 \tabularnewline
38 & 12.7 & 11.8317 & 0.868271 \tabularnewline
39 & 9.3 & 13.8464 & -4.54639 \tabularnewline
40 & 11.8 & 14.5993 & -2.79934 \tabularnewline
41 & 5.9 & 12.068 & -6.16796 \tabularnewline
42 & 11.4 & 13.0539 & -1.65392 \tabularnewline
43 & 13 & 14.0288 & -1.02884 \tabularnewline
44 & 10.8 & 13.9005 & -3.10054 \tabularnewline
45 & 12.3 & 11.3477 & 0.952277 \tabularnewline
46 & 11.3 & 14.8021 & -3.50206 \tabularnewline
47 & 11.8 & 13.2957 & -1.49566 \tabularnewline
48 & 7.9 & 12.3878 & -4.48783 \tabularnewline
49 & 12.7 & 13.6878 & -0.987774 \tabularnewline
50 & 12.3 & 10.786 & 1.51399 \tabularnewline
51 & 11.6 & 12.5298 & -0.929767 \tabularnewline
52 & 6.7 & 10.7609 & -4.06089 \tabularnewline
53 & 10.9 & 12.5652 & -1.66522 \tabularnewline
54 & 12.1 & 12.7686 & -0.668626 \tabularnewline
55 & 13.3 & 12.9504 & 0.349642 \tabularnewline
56 & 10.1 & 12.5316 & -2.43158 \tabularnewline
57 & 5.7 & 12.8663 & -7.16627 \tabularnewline
58 & 14.3 & 12.8505 & 1.44948 \tabularnewline
59 & 8 & 10.2368 & -2.23675 \tabularnewline
60 & 13.3 & 12.7195 & 0.580471 \tabularnewline
61 & 9.3 & 15.0741 & -5.7741 \tabularnewline
62 & 12.5 & 12.8365 & -0.336461 \tabularnewline
63 & 7.6 & 12.9197 & -5.31971 \tabularnewline
64 & 15.9 & 15.1998 & 0.700169 \tabularnewline
65 & 9.2 & 14.2544 & -5.05438 \tabularnewline
66 & 9.1 & 11.2131 & -2.11314 \tabularnewline
67 & 11.1 & 15.4637 & -4.36372 \tabularnewline
68 & 13 & 17.115 & -4.11498 \tabularnewline
69 & 14.5 & 12.8617 & 1.63833 \tabularnewline
70 & 12.2 & 12.752 & -0.552013 \tabularnewline
71 & 12.3 & 15.0391 & -2.73908 \tabularnewline
72 & 11.4 & 12.9834 & -1.58345 \tabularnewline
73 & 8.8 & 12.9222 & -4.1222 \tabularnewline
74 & 14.6 & 13.3414 & 1.25864 \tabularnewline
75 & 12.6 & 14.0907 & -1.4907 \tabularnewline
76 & NA & NA & -2.06114 \tabularnewline
77 & 13 & 12.4274 & 0.572646 \tabularnewline
78 & 12.6 & 14.4151 & -1.8151 \tabularnewline
79 & 13.2 & 15.066 & -1.86599 \tabularnewline
80 & 9.9 & 15.2189 & -5.31889 \tabularnewline
81 & 7.7 & 10.0308 & -2.33082 \tabularnewline
82 & 10.5 & 9.73924 & 0.760757 \tabularnewline
83 & 13.4 & 15.7274 & -2.32743 \tabularnewline
84 & 10.9 & 18.1718 & -7.27184 \tabularnewline
85 & 4.3 & 7.22161 & -2.92161 \tabularnewline
86 & 10.3 & 12.186 & -1.88599 \tabularnewline
87 & 11.8 & 12.3575 & -0.557549 \tabularnewline
88 & 11.2 & 11.5822 & -0.382182 \tabularnewline
89 & 11.4 & 15.2191 & -3.81911 \tabularnewline
90 & 8.6 & 8.43294 & 0.167063 \tabularnewline
91 & 13.2 & 12.024 & 1.17596 \tabularnewline
92 & 12.6 & 18.7724 & -6.1724 \tabularnewline
93 & 5.6 & 9.49921 & -3.89921 \tabularnewline
94 & 9.9 & 13.2383 & -3.33829 \tabularnewline
95 & 8.8 & 12.4934 & -3.69345 \tabularnewline
96 & 7.7 & 11.2235 & -3.52345 \tabularnewline
97 & 9 & 14.2825 & -5.28246 \tabularnewline
98 & 7.3 & 7.15041 & 0.149593 \tabularnewline
99 & 11.4 & 9.19931 & 2.20069 \tabularnewline
100 & 13.6 & 18.0429 & -4.44292 \tabularnewline
101 & 7.9 & 9.05334 & -1.15334 \tabularnewline
102 & 10.7 & 13.1243 & -2.42434 \tabularnewline
103 & 10.3 & 13.4078 & -3.10784 \tabularnewline
104 & 8.3 & 11.5309 & -3.23094 \tabularnewline
105 & 9.6 & 7.77973 & 1.82027 \tabularnewline
106 & 14.2 & 18.4225 & -4.22252 \tabularnewline
107 & 8.5 & 6.95258 & 1.54742 \tabularnewline
108 & 13.5 & 20.854 & -7.35401 \tabularnewline
109 & 4.9 & 10.0544 & -5.15437 \tabularnewline
110 & 6.4 & 9.8981 & -3.4981 \tabularnewline
111 & 9.6 & 10.7689 & -1.16892 \tabularnewline
112 & 11.6 & 11.6167 & -0.0166757 \tabularnewline
113 & 11.1 & 16.9717 & -5.87167 \tabularnewline
114 & 4.35 & 3.49453 & 0.855475 \tabularnewline
115 & 12.7 & 7.5327 & 5.1673 \tabularnewline
116 & 18.1 & 13.4384 & 4.66156 \tabularnewline
117 & 17.85 & 17.6988 & 0.151167 \tabularnewline
118 & 16.6 & 14.3216 & 2.27839 \tabularnewline
119 & 12.6 & 10.6766 & 1.92337 \tabularnewline
120 & 17.1 & 13.5315 & 3.56853 \tabularnewline
121 & 19.1 & 21.3802 & -2.28024 \tabularnewline
122 & 16.1 & 13.7995 & 2.30053 \tabularnewline
123 & 13.35 & 9.3017 & 4.0483 \tabularnewline
124 & 18.4 & 14.1288 & 4.27123 \tabularnewline
125 & 14.7 & 16.1971 & -1.4971 \tabularnewline
126 & 10.6 & 9.77645 & 0.823553 \tabularnewline
127 & 12.6 & 9.35252 & 3.24748 \tabularnewline
128 & 16.2 & 15.7258 & 0.474199 \tabularnewline
129 & 13.6 & 8.94954 & 4.65046 \tabularnewline
130 & 18.9 & 16.3361 & 2.56394 \tabularnewline
131 & 14.1 & 11.2312 & 2.86883 \tabularnewline
132 & 14.5 & 14.3728 & 0.127233 \tabularnewline
133 & 16.15 & 13.607 & 2.54305 \tabularnewline
134 & 14.75 & 12.5347 & 2.2153 \tabularnewline
135 & 14.8 & 13.7924 & 1.00759 \tabularnewline
136 & 12.45 & 11.823 & 0.62698 \tabularnewline
137 & 12.65 & 7.46712 & 5.18288 \tabularnewline
138 & 17.35 & 19.5602 & -2.21021 \tabularnewline
139 & 8.6 & 5.56705 & 3.03295 \tabularnewline
140 & 18.4 & 16.5344 & 1.86556 \tabularnewline
141 & 16.1 & 15.4935 & 0.606465 \tabularnewline
142 & 11.6 & 5.94343 & 5.65657 \tabularnewline
143 & 17.75 & 16.248 & 1.50198 \tabularnewline
144 & 15.25 & 10.5669 & 4.68309 \tabularnewline
145 & 17.65 & 15.5864 & 2.06357 \tabularnewline
146 & 16.35 & 13.8968 & 2.45324 \tabularnewline
147 & 17.65 & 16.188 & 1.462 \tabularnewline
148 & 13.6 & 12.5103 & 1.08971 \tabularnewline
149 & 14.35 & 12.9436 & 1.40639 \tabularnewline
150 & 14.75 & 9.7106 & 5.0394 \tabularnewline
151 & 18.25 & 22.3054 & -4.05544 \tabularnewline
152 & 9.9 & 8.18859 & 1.71141 \tabularnewline
153 & 16 & 10.9661 & 5.03389 \tabularnewline
154 & 18.25 & 15.7377 & 2.51234 \tabularnewline
155 & 16.85 & 13.591 & 3.25899 \tabularnewline
156 & 14.6 & 13.7991 & 0.80094 \tabularnewline
157 & 13.85 & 10.3563 & 3.49368 \tabularnewline
158 & 18.95 & 16.5745 & 2.37549 \tabularnewline
159 & 15.6 & 15.5974 & 0.00263394 \tabularnewline
160 & 14.85 & 15.4204 & -0.570374 \tabularnewline
161 & 11.75 & 8.2417 & 3.5083 \tabularnewline
162 & 18.45 & 14.6968 & 3.75316 \tabularnewline
163 & 15.9 & 13.9231 & 1.97686 \tabularnewline
164 & 17.1 & 11.1729 & 5.92707 \tabularnewline
165 & 16.1 & 11.887 & 4.21298 \tabularnewline
166 & 19.9 & 19.3796 & 0.52045 \tabularnewline
167 & 10.95 & 7.30935 & 3.64065 \tabularnewline
168 & 18.45 & 14.3313 & 4.11869 \tabularnewline
169 & 15.1 & 13.3779 & 1.72212 \tabularnewline
170 & 15 & 17.1399 & -2.13988 \tabularnewline
171 & 11.35 & 8.22498 & 3.12502 \tabularnewline
172 & 15.95 & 11.8319 & 4.11812 \tabularnewline
173 & 18.1 & 17.2693 & 0.830701 \tabularnewline
174 & 14.6 & 12.066 & 2.53403 \tabularnewline
175 & 15.4 & 12.866 & 2.53403 \tabularnewline
176 & 15.4 & 11.1104 & 4.28959 \tabularnewline
177 & 17.6 & 17.6301 & -0.0300808 \tabularnewline
178 & 13.35 & 8.38124 & 4.96876 \tabularnewline
179 & 19.1 & 17.4965 & 1.60355 \tabularnewline
180 & 15.35 & 18.9668 & -3.61681 \tabularnewline
181 & 7.6 & 9.16522 & -1.56522 \tabularnewline
182 & 13.4 & 12.8926 & 0.507437 \tabularnewline
183 & 13.9 & 9.06361 & 4.83639 \tabularnewline
184 & 19.1 & 17.7644 & 1.33555 \tabularnewline
185 & 15.25 & 14.9989 & 0.251142 \tabularnewline
186 & 12.9 & 10.9013 & 1.9987 \tabularnewline
187 & 16.1 & 11.2284 & 4.87156 \tabularnewline
188 & 17.35 & 17.4764 & -0.12642 \tabularnewline
189 & 13.15 & 12.5176 & 0.632405 \tabularnewline
190 & 12.15 & 11.3171 & 0.832893 \tabularnewline
191 & 12.6 & 13.4712 & -0.871241 \tabularnewline
192 & 10.35 & 7.79311 & 2.55689 \tabularnewline
193 & 15.4 & 16.8459 & -1.44587 \tabularnewline
194 & 9.6 & 4.34998 & 5.25002 \tabularnewline
195 & 18.2 & 16.6516 & 1.54836 \tabularnewline
196 & 13.6 & 11.0338 & 2.56616 \tabularnewline
197 & 14.85 & 14.804 & 0.0459955 \tabularnewline
198 & 14.75 & 13.263 & 1.48697 \tabularnewline
199 & 14.1 & 10.9893 & 3.11075 \tabularnewline
200 & 14.9 & 11.925 & 2.97497 \tabularnewline
201 & 16.25 & 11.9824 & 4.26761 \tabularnewline
202 & 19.25 & 16.8949 & 2.35513 \tabularnewline
203 & 13.6 & 13.3458 & 0.25416 \tabularnewline
204 & 13.6 & 11.382 & 2.21803 \tabularnewline
205 & 15.65 & 14.4059 & 1.24411 \tabularnewline
206 & 12.75 & 9.91485 & 2.83515 \tabularnewline
207 & 14.6 & 16.363 & -1.76302 \tabularnewline
208 & 9.85 & 8.15843 & 1.69157 \tabularnewline
209 & 12.65 & 8.07709 & 4.57291 \tabularnewline
210 & 19.2 & 15.6775 & 3.52248 \tabularnewline
211 & 16.6 & 16.9371 & -0.337059 \tabularnewline
212 & 11.2 & 8.62611 & 2.57389 \tabularnewline
213 & 15.25 & 17.4016 & -2.15162 \tabularnewline
214 & 11.9 & 10.8644 & 1.0356 \tabularnewline
215 & 13.2 & 12.1776 & 1.02236 \tabularnewline
216 & 16.35 & 15.8481 & 0.501902 \tabularnewline
217 & 12.4 & 8.92611 & 3.47389 \tabularnewline
218 & 15.85 & 11.0532 & 4.79678 \tabularnewline
219 & 18.15 & 18.8548 & -0.704793 \tabularnewline
220 & 11.15 & 9.43765 & 1.71235 \tabularnewline
221 & 15.65 & 11.1788 & 4.47124 \tabularnewline
222 & 17.75 & 21.6422 & -3.89223 \tabularnewline
223 & 7.65 & 6.58249 & 1.06751 \tabularnewline
224 & 12.35 & 7.89137 & 4.45863 \tabularnewline
225 & 15.6 & 10.6551 & 4.94493 \tabularnewline
226 & 19.3 & 15.8099 & 3.49008 \tabularnewline
227 & 15.2 & 10.566 & 4.63396 \tabularnewline
228 & 17.1 & 13.2494 & 3.85055 \tabularnewline
229 & 15.6 & 12.0264 & 3.57364 \tabularnewline
230 & 18.4 & 13.2019 & 5.19812 \tabularnewline
231 & 19.05 & 13.3623 & 5.68774 \tabularnewline
232 & 18.55 & 15.3438 & 3.20624 \tabularnewline
233 & 19.1 & 17.6341 & 1.46592 \tabularnewline
234 & 13.1 & 12.9671 & 0.132928 \tabularnewline
235 & 12.85 & 14.4287 & -1.57867 \tabularnewline
236 & 9.5 & 15.8007 & -6.30065 \tabularnewline
237 & 4.5 & 3.75912 & 0.740876 \tabularnewline
238 & 11.85 & 11.3969 & 0.453134 \tabularnewline
239 & 13.6 & 13.578 & 0.0220272 \tabularnewline
240 & 11.7 & 10.8398 & 0.860244 \tabularnewline
241 & 12.4 & 12.845 & -0.445036 \tabularnewline
242 & 13.35 & 14.4856 & -1.13557 \tabularnewline
243 & 11.4 & 8.43526 & 2.96474 \tabularnewline
244 & 14.9 & 10.687 & 4.21298 \tabularnewline
245 & 19.9 & 19.8199 & 0.0800543 \tabularnewline
246 & 11.2 & 9.67787 & 1.52213 \tabularnewline
247 & 14.6 & 12.4715 & 2.12854 \tabularnewline
248 & 17.6 & 15.4963 & 2.10369 \tabularnewline
249 & 14.05 & 12.4785 & 1.57147 \tabularnewline
250 & 16.1 & 14.7413 & 1.35868 \tabularnewline
251 & 13.35 & 13.401 & -0.0509746 \tabularnewline
252 & 11.85 & 13.5549 & -1.70491 \tabularnewline
253 & 11.95 & 9.98298 & 1.96702 \tabularnewline
254 & 14.75 & 13.4149 & 1.33507 \tabularnewline
255 & 15.15 & 15.1687 & -0.0187049 \tabularnewline
256 & 13.2 & 10.5461 & 2.65395 \tabularnewline
257 & 16.85 & 19.9386 & -3.08861 \tabularnewline
258 & 7.85 & 12.6004 & -4.75041 \tabularnewline
259 & 7.7 & 8.7694 & -1.0694 \tabularnewline
260 & 12.6 & 16.919 & -4.31901 \tabularnewline
261 & 7.85 & 7.32955 & 0.52045 \tabularnewline
262 & 10.95 & 11.4595 & -0.509525 \tabularnewline
263 & 12.35 & 14.1337 & -1.78367 \tabularnewline
264 & 9.95 & 6.98526 & 2.96474 \tabularnewline
265 & 14.9 & 11.1679 & 3.7321 \tabularnewline
266 & 16.65 & 15.1933 & 1.45674 \tabularnewline
267 & 13.4 & 11.5031 & 1.89691 \tabularnewline
268 & 13.95 & 10.6769 & 3.2731 \tabularnewline
269 & 15.7 & 11.5412 & 4.15882 \tabularnewline
270 & 16.85 & 17.2701 & -0.420143 \tabularnewline
271 & 10.95 & 7.81719 & 3.13281 \tabularnewline
272 & 15.35 & 14.3215 & 1.0285 \tabularnewline
273 & 12.2 & 10.1252 & 2.07483 \tabularnewline
274 & 15.1 & 11.6614 & 3.43859 \tabularnewline
275 & 17.75 & 15.5936 & 2.15645 \tabularnewline
276 & 15.2 & 13.5974 & 1.60259 \tabularnewline
277 & 14.6 & 11.7959 & 2.80409 \tabularnewline
278 & 16.65 & 18.9109 & -2.26091 \tabularnewline
279 & 8.1 & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=269024&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]15.304[/C][C]-2.40402[/C][/ROW]
[ROW][C]2[/C][C]12.2[/C][C]12.9655[/C][C]-0.765457[/C][/ROW]
[ROW][C]3[/C][C]12.8[/C][C]13.4527[/C][C]-0.652676[/C][/ROW]
[ROW][C]4[/C][C]7.4[/C][C]14.3561[/C][C]-6.95613[/C][/ROW]
[ROW][C]5[/C][C]6.7[/C][C]12.5136[/C][C]-5.81357[/C][/ROW]
[ROW][C]6[/C][C]12.6[/C][C]14.748[/C][C]-2.14804[/C][/ROW]
[ROW][C]7[/C][C]14.8[/C][C]15.0634[/C][C]-0.263379[/C][/ROW]
[ROW][C]8[/C][C]13.3[/C][C]14.3973[/C][C]-1.09731[/C][/ROW]
[ROW][C]9[/C][C]11.1[/C][C]15.0468[/C][C]-3.94685[/C][/ROW]
[ROW][C]10[/C][C]8.2[/C][C]13.3765[/C][C]-5.17649[/C][/ROW]
[ROW][C]11[/C][C]11.4[/C][C]13.8817[/C][C]-2.48175[/C][/ROW]
[ROW][C]12[/C][C]6.4[/C][C]14.3208[/C][C]-7.92078[/C][/ROW]
[ROW][C]13[/C][C]10.6[/C][C]12.236[/C][C]-1.63601[/C][/ROW]
[ROW][C]14[/C][C]12[/C][C]16.0866[/C][C]-4.08658[/C][/ROW]
[ROW][C]15[/C][C]6.3[/C][C]11.439[/C][C]-5.13901[/C][/ROW]
[ROW][C]16[/C][C]11.3[/C][C]12.564[/C][C]-1.26396[/C][/ROW]
[ROW][C]17[/C][C]11.9[/C][C]14.623[/C][C]-2.72299[/C][/ROW]
[ROW][C]18[/C][C]9.3[/C][C]13.0469[/C][C]-3.7469[/C][/ROW]
[ROW][C]19[/C][C]9.6[/C][C]13.1792[/C][C]-3.5792[/C][/ROW]
[ROW][C]20[/C][C]10[/C][C]13.5839[/C][C]-3.58389[/C][/ROW]
[ROW][C]21[/C][C]6.4[/C][C]12.2044[/C][C]-5.80439[/C][/ROW]
[ROW][C]22[/C][C]13.8[/C][C]12.4222[/C][C]1.37782[/C][/ROW]
[ROW][C]23[/C][C]10.8[/C][C]15.01[/C][C]-4.21005[/C][/ROW]
[ROW][C]24[/C][C]13.8[/C][C]15.1364[/C][C]-1.33645[/C][/ROW]
[ROW][C]25[/C][C]11.7[/C][C]13.8372[/C][C]-2.13716[/C][/ROW]
[ROW][C]26[/C][C]10.9[/C][C]15.7027[/C][C]-4.80271[/C][/ROW]
[ROW][C]27[/C][C]16.1[/C][C]15.1762[/C][C]0.923827[/C][/ROW]
[ROW][C]28[/C][C]13.4[/C][C]13.1098[/C][C]0.290174[/C][/ROW]
[ROW][C]29[/C][C]9.9[/C][C]14.1899[/C][C]-4.28989[/C][/ROW]
[ROW][C]30[/C][C]11.5[/C][C]13.7642[/C][C]-2.26419[/C][/ROW]
[ROW][C]31[/C][C]8.3[/C][C]13.0373[/C][C]-4.73731[/C][/ROW]
[ROW][C]32[/C][C]11.7[/C][C]13.9086[/C][C]-2.20862[/C][/ROW]
[ROW][C]33[/C][C]9[/C][C]12.6208[/C][C]-3.62083[/C][/ROW]
[ROW][C]34[/C][C]9.7[/C][C]13.9676[/C][C]-4.26762[/C][/ROW]
[ROW][C]35[/C][C]10.8[/C][C]12.5106[/C][C]-1.71062[/C][/ROW]
[ROW][C]36[/C][C]10.3[/C][C]11.8615[/C][C]-1.56154[/C][/ROW]
[ROW][C]37[/C][C]10.4[/C][C]13.3341[/C][C]-2.93405[/C][/ROW]
[ROW][C]38[/C][C]12.7[/C][C]11.8317[/C][C]0.868271[/C][/ROW]
[ROW][C]39[/C][C]9.3[/C][C]13.8464[/C][C]-4.54639[/C][/ROW]
[ROW][C]40[/C][C]11.8[/C][C]14.5993[/C][C]-2.79934[/C][/ROW]
[ROW][C]41[/C][C]5.9[/C][C]12.068[/C][C]-6.16796[/C][/ROW]
[ROW][C]42[/C][C]11.4[/C][C]13.0539[/C][C]-1.65392[/C][/ROW]
[ROW][C]43[/C][C]13[/C][C]14.0288[/C][C]-1.02884[/C][/ROW]
[ROW][C]44[/C][C]10.8[/C][C]13.9005[/C][C]-3.10054[/C][/ROW]
[ROW][C]45[/C][C]12.3[/C][C]11.3477[/C][C]0.952277[/C][/ROW]
[ROW][C]46[/C][C]11.3[/C][C]14.8021[/C][C]-3.50206[/C][/ROW]
[ROW][C]47[/C][C]11.8[/C][C]13.2957[/C][C]-1.49566[/C][/ROW]
[ROW][C]48[/C][C]7.9[/C][C]12.3878[/C][C]-4.48783[/C][/ROW]
[ROW][C]49[/C][C]12.7[/C][C]13.6878[/C][C]-0.987774[/C][/ROW]
[ROW][C]50[/C][C]12.3[/C][C]10.786[/C][C]1.51399[/C][/ROW]
[ROW][C]51[/C][C]11.6[/C][C]12.5298[/C][C]-0.929767[/C][/ROW]
[ROW][C]52[/C][C]6.7[/C][C]10.7609[/C][C]-4.06089[/C][/ROW]
[ROW][C]53[/C][C]10.9[/C][C]12.5652[/C][C]-1.66522[/C][/ROW]
[ROW][C]54[/C][C]12.1[/C][C]12.7686[/C][C]-0.668626[/C][/ROW]
[ROW][C]55[/C][C]13.3[/C][C]12.9504[/C][C]0.349642[/C][/ROW]
[ROW][C]56[/C][C]10.1[/C][C]12.5316[/C][C]-2.43158[/C][/ROW]
[ROW][C]57[/C][C]5.7[/C][C]12.8663[/C][C]-7.16627[/C][/ROW]
[ROW][C]58[/C][C]14.3[/C][C]12.8505[/C][C]1.44948[/C][/ROW]
[ROW][C]59[/C][C]8[/C][C]10.2368[/C][C]-2.23675[/C][/ROW]
[ROW][C]60[/C][C]13.3[/C][C]12.7195[/C][C]0.580471[/C][/ROW]
[ROW][C]61[/C][C]9.3[/C][C]15.0741[/C][C]-5.7741[/C][/ROW]
[ROW][C]62[/C][C]12.5[/C][C]12.8365[/C][C]-0.336461[/C][/ROW]
[ROW][C]63[/C][C]7.6[/C][C]12.9197[/C][C]-5.31971[/C][/ROW]
[ROW][C]64[/C][C]15.9[/C][C]15.1998[/C][C]0.700169[/C][/ROW]
[ROW][C]65[/C][C]9.2[/C][C]14.2544[/C][C]-5.05438[/C][/ROW]
[ROW][C]66[/C][C]9.1[/C][C]11.2131[/C][C]-2.11314[/C][/ROW]
[ROW][C]67[/C][C]11.1[/C][C]15.4637[/C][C]-4.36372[/C][/ROW]
[ROW][C]68[/C][C]13[/C][C]17.115[/C][C]-4.11498[/C][/ROW]
[ROW][C]69[/C][C]14.5[/C][C]12.8617[/C][C]1.63833[/C][/ROW]
[ROW][C]70[/C][C]12.2[/C][C]12.752[/C][C]-0.552013[/C][/ROW]
[ROW][C]71[/C][C]12.3[/C][C]15.0391[/C][C]-2.73908[/C][/ROW]
[ROW][C]72[/C][C]11.4[/C][C]12.9834[/C][C]-1.58345[/C][/ROW]
[ROW][C]73[/C][C]8.8[/C][C]12.9222[/C][C]-4.1222[/C][/ROW]
[ROW][C]74[/C][C]14.6[/C][C]13.3414[/C][C]1.25864[/C][/ROW]
[ROW][C]75[/C][C]12.6[/C][C]14.0907[/C][C]-1.4907[/C][/ROW]
[ROW][C]76[/C][C]NA[/C][C]NA[/C][C]-2.06114[/C][/ROW]
[ROW][C]77[/C][C]13[/C][C]12.4274[/C][C]0.572646[/C][/ROW]
[ROW][C]78[/C][C]12.6[/C][C]14.4151[/C][C]-1.8151[/C][/ROW]
[ROW][C]79[/C][C]13.2[/C][C]15.066[/C][C]-1.86599[/C][/ROW]
[ROW][C]80[/C][C]9.9[/C][C]15.2189[/C][C]-5.31889[/C][/ROW]
[ROW][C]81[/C][C]7.7[/C][C]10.0308[/C][C]-2.33082[/C][/ROW]
[ROW][C]82[/C][C]10.5[/C][C]9.73924[/C][C]0.760757[/C][/ROW]
[ROW][C]83[/C][C]13.4[/C][C]15.7274[/C][C]-2.32743[/C][/ROW]
[ROW][C]84[/C][C]10.9[/C][C]18.1718[/C][C]-7.27184[/C][/ROW]
[ROW][C]85[/C][C]4.3[/C][C]7.22161[/C][C]-2.92161[/C][/ROW]
[ROW][C]86[/C][C]10.3[/C][C]12.186[/C][C]-1.88599[/C][/ROW]
[ROW][C]87[/C][C]11.8[/C][C]12.3575[/C][C]-0.557549[/C][/ROW]
[ROW][C]88[/C][C]11.2[/C][C]11.5822[/C][C]-0.382182[/C][/ROW]
[ROW][C]89[/C][C]11.4[/C][C]15.2191[/C][C]-3.81911[/C][/ROW]
[ROW][C]90[/C][C]8.6[/C][C]8.43294[/C][C]0.167063[/C][/ROW]
[ROW][C]91[/C][C]13.2[/C][C]12.024[/C][C]1.17596[/C][/ROW]
[ROW][C]92[/C][C]12.6[/C][C]18.7724[/C][C]-6.1724[/C][/ROW]
[ROW][C]93[/C][C]5.6[/C][C]9.49921[/C][C]-3.89921[/C][/ROW]
[ROW][C]94[/C][C]9.9[/C][C]13.2383[/C][C]-3.33829[/C][/ROW]
[ROW][C]95[/C][C]8.8[/C][C]12.4934[/C][C]-3.69345[/C][/ROW]
[ROW][C]96[/C][C]7.7[/C][C]11.2235[/C][C]-3.52345[/C][/ROW]
[ROW][C]97[/C][C]9[/C][C]14.2825[/C][C]-5.28246[/C][/ROW]
[ROW][C]98[/C][C]7.3[/C][C]7.15041[/C][C]0.149593[/C][/ROW]
[ROW][C]99[/C][C]11.4[/C][C]9.19931[/C][C]2.20069[/C][/ROW]
[ROW][C]100[/C][C]13.6[/C][C]18.0429[/C][C]-4.44292[/C][/ROW]
[ROW][C]101[/C][C]7.9[/C][C]9.05334[/C][C]-1.15334[/C][/ROW]
[ROW][C]102[/C][C]10.7[/C][C]13.1243[/C][C]-2.42434[/C][/ROW]
[ROW][C]103[/C][C]10.3[/C][C]13.4078[/C][C]-3.10784[/C][/ROW]
[ROW][C]104[/C][C]8.3[/C][C]11.5309[/C][C]-3.23094[/C][/ROW]
[ROW][C]105[/C][C]9.6[/C][C]7.77973[/C][C]1.82027[/C][/ROW]
[ROW][C]106[/C][C]14.2[/C][C]18.4225[/C][C]-4.22252[/C][/ROW]
[ROW][C]107[/C][C]8.5[/C][C]6.95258[/C][C]1.54742[/C][/ROW]
[ROW][C]108[/C][C]13.5[/C][C]20.854[/C][C]-7.35401[/C][/ROW]
[ROW][C]109[/C][C]4.9[/C][C]10.0544[/C][C]-5.15437[/C][/ROW]
[ROW][C]110[/C][C]6.4[/C][C]9.8981[/C][C]-3.4981[/C][/ROW]
[ROW][C]111[/C][C]9.6[/C][C]10.7689[/C][C]-1.16892[/C][/ROW]
[ROW][C]112[/C][C]11.6[/C][C]11.6167[/C][C]-0.0166757[/C][/ROW]
[ROW][C]113[/C][C]11.1[/C][C]16.9717[/C][C]-5.87167[/C][/ROW]
[ROW][C]114[/C][C]4.35[/C][C]3.49453[/C][C]0.855475[/C][/ROW]
[ROW][C]115[/C][C]12.7[/C][C]7.5327[/C][C]5.1673[/C][/ROW]
[ROW][C]116[/C][C]18.1[/C][C]13.4384[/C][C]4.66156[/C][/ROW]
[ROW][C]117[/C][C]17.85[/C][C]17.6988[/C][C]0.151167[/C][/ROW]
[ROW][C]118[/C][C]16.6[/C][C]14.3216[/C][C]2.27839[/C][/ROW]
[ROW][C]119[/C][C]12.6[/C][C]10.6766[/C][C]1.92337[/C][/ROW]
[ROW][C]120[/C][C]17.1[/C][C]13.5315[/C][C]3.56853[/C][/ROW]
[ROW][C]121[/C][C]19.1[/C][C]21.3802[/C][C]-2.28024[/C][/ROW]
[ROW][C]122[/C][C]16.1[/C][C]13.7995[/C][C]2.30053[/C][/ROW]
[ROW][C]123[/C][C]13.35[/C][C]9.3017[/C][C]4.0483[/C][/ROW]
[ROW][C]124[/C][C]18.4[/C][C]14.1288[/C][C]4.27123[/C][/ROW]
[ROW][C]125[/C][C]14.7[/C][C]16.1971[/C][C]-1.4971[/C][/ROW]
[ROW][C]126[/C][C]10.6[/C][C]9.77645[/C][C]0.823553[/C][/ROW]
[ROW][C]127[/C][C]12.6[/C][C]9.35252[/C][C]3.24748[/C][/ROW]
[ROW][C]128[/C][C]16.2[/C][C]15.7258[/C][C]0.474199[/C][/ROW]
[ROW][C]129[/C][C]13.6[/C][C]8.94954[/C][C]4.65046[/C][/ROW]
[ROW][C]130[/C][C]18.9[/C][C]16.3361[/C][C]2.56394[/C][/ROW]
[ROW][C]131[/C][C]14.1[/C][C]11.2312[/C][C]2.86883[/C][/ROW]
[ROW][C]132[/C][C]14.5[/C][C]14.3728[/C][C]0.127233[/C][/ROW]
[ROW][C]133[/C][C]16.15[/C][C]13.607[/C][C]2.54305[/C][/ROW]
[ROW][C]134[/C][C]14.75[/C][C]12.5347[/C][C]2.2153[/C][/ROW]
[ROW][C]135[/C][C]14.8[/C][C]13.7924[/C][C]1.00759[/C][/ROW]
[ROW][C]136[/C][C]12.45[/C][C]11.823[/C][C]0.62698[/C][/ROW]
[ROW][C]137[/C][C]12.65[/C][C]7.46712[/C][C]5.18288[/C][/ROW]
[ROW][C]138[/C][C]17.35[/C][C]19.5602[/C][C]-2.21021[/C][/ROW]
[ROW][C]139[/C][C]8.6[/C][C]5.56705[/C][C]3.03295[/C][/ROW]
[ROW][C]140[/C][C]18.4[/C][C]16.5344[/C][C]1.86556[/C][/ROW]
[ROW][C]141[/C][C]16.1[/C][C]15.4935[/C][C]0.606465[/C][/ROW]
[ROW][C]142[/C][C]11.6[/C][C]5.94343[/C][C]5.65657[/C][/ROW]
[ROW][C]143[/C][C]17.75[/C][C]16.248[/C][C]1.50198[/C][/ROW]
[ROW][C]144[/C][C]15.25[/C][C]10.5669[/C][C]4.68309[/C][/ROW]
[ROW][C]145[/C][C]17.65[/C][C]15.5864[/C][C]2.06357[/C][/ROW]
[ROW][C]146[/C][C]16.35[/C][C]13.8968[/C][C]2.45324[/C][/ROW]
[ROW][C]147[/C][C]17.65[/C][C]16.188[/C][C]1.462[/C][/ROW]
[ROW][C]148[/C][C]13.6[/C][C]12.5103[/C][C]1.08971[/C][/ROW]
[ROW][C]149[/C][C]14.35[/C][C]12.9436[/C][C]1.40639[/C][/ROW]
[ROW][C]150[/C][C]14.75[/C][C]9.7106[/C][C]5.0394[/C][/ROW]
[ROW][C]151[/C][C]18.25[/C][C]22.3054[/C][C]-4.05544[/C][/ROW]
[ROW][C]152[/C][C]9.9[/C][C]8.18859[/C][C]1.71141[/C][/ROW]
[ROW][C]153[/C][C]16[/C][C]10.9661[/C][C]5.03389[/C][/ROW]
[ROW][C]154[/C][C]18.25[/C][C]15.7377[/C][C]2.51234[/C][/ROW]
[ROW][C]155[/C][C]16.85[/C][C]13.591[/C][C]3.25899[/C][/ROW]
[ROW][C]156[/C][C]14.6[/C][C]13.7991[/C][C]0.80094[/C][/ROW]
[ROW][C]157[/C][C]13.85[/C][C]10.3563[/C][C]3.49368[/C][/ROW]
[ROW][C]158[/C][C]18.95[/C][C]16.5745[/C][C]2.37549[/C][/ROW]
[ROW][C]159[/C][C]15.6[/C][C]15.5974[/C][C]0.00263394[/C][/ROW]
[ROW][C]160[/C][C]14.85[/C][C]15.4204[/C][C]-0.570374[/C][/ROW]
[ROW][C]161[/C][C]11.75[/C][C]8.2417[/C][C]3.5083[/C][/ROW]
[ROW][C]162[/C][C]18.45[/C][C]14.6968[/C][C]3.75316[/C][/ROW]
[ROW][C]163[/C][C]15.9[/C][C]13.9231[/C][C]1.97686[/C][/ROW]
[ROW][C]164[/C][C]17.1[/C][C]11.1729[/C][C]5.92707[/C][/ROW]
[ROW][C]165[/C][C]16.1[/C][C]11.887[/C][C]4.21298[/C][/ROW]
[ROW][C]166[/C][C]19.9[/C][C]19.3796[/C][C]0.52045[/C][/ROW]
[ROW][C]167[/C][C]10.95[/C][C]7.30935[/C][C]3.64065[/C][/ROW]
[ROW][C]168[/C][C]18.45[/C][C]14.3313[/C][C]4.11869[/C][/ROW]
[ROW][C]169[/C][C]15.1[/C][C]13.3779[/C][C]1.72212[/C][/ROW]
[ROW][C]170[/C][C]15[/C][C]17.1399[/C][C]-2.13988[/C][/ROW]
[ROW][C]171[/C][C]11.35[/C][C]8.22498[/C][C]3.12502[/C][/ROW]
[ROW][C]172[/C][C]15.95[/C][C]11.8319[/C][C]4.11812[/C][/ROW]
[ROW][C]173[/C][C]18.1[/C][C]17.2693[/C][C]0.830701[/C][/ROW]
[ROW][C]174[/C][C]14.6[/C][C]12.066[/C][C]2.53403[/C][/ROW]
[ROW][C]175[/C][C]15.4[/C][C]12.866[/C][C]2.53403[/C][/ROW]
[ROW][C]176[/C][C]15.4[/C][C]11.1104[/C][C]4.28959[/C][/ROW]
[ROW][C]177[/C][C]17.6[/C][C]17.6301[/C][C]-0.0300808[/C][/ROW]
[ROW][C]178[/C][C]13.35[/C][C]8.38124[/C][C]4.96876[/C][/ROW]
[ROW][C]179[/C][C]19.1[/C][C]17.4965[/C][C]1.60355[/C][/ROW]
[ROW][C]180[/C][C]15.35[/C][C]18.9668[/C][C]-3.61681[/C][/ROW]
[ROW][C]181[/C][C]7.6[/C][C]9.16522[/C][C]-1.56522[/C][/ROW]
[ROW][C]182[/C][C]13.4[/C][C]12.8926[/C][C]0.507437[/C][/ROW]
[ROW][C]183[/C][C]13.9[/C][C]9.06361[/C][C]4.83639[/C][/ROW]
[ROW][C]184[/C][C]19.1[/C][C]17.7644[/C][C]1.33555[/C][/ROW]
[ROW][C]185[/C][C]15.25[/C][C]14.9989[/C][C]0.251142[/C][/ROW]
[ROW][C]186[/C][C]12.9[/C][C]10.9013[/C][C]1.9987[/C][/ROW]
[ROW][C]187[/C][C]16.1[/C][C]11.2284[/C][C]4.87156[/C][/ROW]
[ROW][C]188[/C][C]17.35[/C][C]17.4764[/C][C]-0.12642[/C][/ROW]
[ROW][C]189[/C][C]13.15[/C][C]12.5176[/C][C]0.632405[/C][/ROW]
[ROW][C]190[/C][C]12.15[/C][C]11.3171[/C][C]0.832893[/C][/ROW]
[ROW][C]191[/C][C]12.6[/C][C]13.4712[/C][C]-0.871241[/C][/ROW]
[ROW][C]192[/C][C]10.35[/C][C]7.79311[/C][C]2.55689[/C][/ROW]
[ROW][C]193[/C][C]15.4[/C][C]16.8459[/C][C]-1.44587[/C][/ROW]
[ROW][C]194[/C][C]9.6[/C][C]4.34998[/C][C]5.25002[/C][/ROW]
[ROW][C]195[/C][C]18.2[/C][C]16.6516[/C][C]1.54836[/C][/ROW]
[ROW][C]196[/C][C]13.6[/C][C]11.0338[/C][C]2.56616[/C][/ROW]
[ROW][C]197[/C][C]14.85[/C][C]14.804[/C][C]0.0459955[/C][/ROW]
[ROW][C]198[/C][C]14.75[/C][C]13.263[/C][C]1.48697[/C][/ROW]
[ROW][C]199[/C][C]14.1[/C][C]10.9893[/C][C]3.11075[/C][/ROW]
[ROW][C]200[/C][C]14.9[/C][C]11.925[/C][C]2.97497[/C][/ROW]
[ROW][C]201[/C][C]16.25[/C][C]11.9824[/C][C]4.26761[/C][/ROW]
[ROW][C]202[/C][C]19.25[/C][C]16.8949[/C][C]2.35513[/C][/ROW]
[ROW][C]203[/C][C]13.6[/C][C]13.3458[/C][C]0.25416[/C][/ROW]
[ROW][C]204[/C][C]13.6[/C][C]11.382[/C][C]2.21803[/C][/ROW]
[ROW][C]205[/C][C]15.65[/C][C]14.4059[/C][C]1.24411[/C][/ROW]
[ROW][C]206[/C][C]12.75[/C][C]9.91485[/C][C]2.83515[/C][/ROW]
[ROW][C]207[/C][C]14.6[/C][C]16.363[/C][C]-1.76302[/C][/ROW]
[ROW][C]208[/C][C]9.85[/C][C]8.15843[/C][C]1.69157[/C][/ROW]
[ROW][C]209[/C][C]12.65[/C][C]8.07709[/C][C]4.57291[/C][/ROW]
[ROW][C]210[/C][C]19.2[/C][C]15.6775[/C][C]3.52248[/C][/ROW]
[ROW][C]211[/C][C]16.6[/C][C]16.9371[/C][C]-0.337059[/C][/ROW]
[ROW][C]212[/C][C]11.2[/C][C]8.62611[/C][C]2.57389[/C][/ROW]
[ROW][C]213[/C][C]15.25[/C][C]17.4016[/C][C]-2.15162[/C][/ROW]
[ROW][C]214[/C][C]11.9[/C][C]10.8644[/C][C]1.0356[/C][/ROW]
[ROW][C]215[/C][C]13.2[/C][C]12.1776[/C][C]1.02236[/C][/ROW]
[ROW][C]216[/C][C]16.35[/C][C]15.8481[/C][C]0.501902[/C][/ROW]
[ROW][C]217[/C][C]12.4[/C][C]8.92611[/C][C]3.47389[/C][/ROW]
[ROW][C]218[/C][C]15.85[/C][C]11.0532[/C][C]4.79678[/C][/ROW]
[ROW][C]219[/C][C]18.15[/C][C]18.8548[/C][C]-0.704793[/C][/ROW]
[ROW][C]220[/C][C]11.15[/C][C]9.43765[/C][C]1.71235[/C][/ROW]
[ROW][C]221[/C][C]15.65[/C][C]11.1788[/C][C]4.47124[/C][/ROW]
[ROW][C]222[/C][C]17.75[/C][C]21.6422[/C][C]-3.89223[/C][/ROW]
[ROW][C]223[/C][C]7.65[/C][C]6.58249[/C][C]1.06751[/C][/ROW]
[ROW][C]224[/C][C]12.35[/C][C]7.89137[/C][C]4.45863[/C][/ROW]
[ROW][C]225[/C][C]15.6[/C][C]10.6551[/C][C]4.94493[/C][/ROW]
[ROW][C]226[/C][C]19.3[/C][C]15.8099[/C][C]3.49008[/C][/ROW]
[ROW][C]227[/C][C]15.2[/C][C]10.566[/C][C]4.63396[/C][/ROW]
[ROW][C]228[/C][C]17.1[/C][C]13.2494[/C][C]3.85055[/C][/ROW]
[ROW][C]229[/C][C]15.6[/C][C]12.0264[/C][C]3.57364[/C][/ROW]
[ROW][C]230[/C][C]18.4[/C][C]13.2019[/C][C]5.19812[/C][/ROW]
[ROW][C]231[/C][C]19.05[/C][C]13.3623[/C][C]5.68774[/C][/ROW]
[ROW][C]232[/C][C]18.55[/C][C]15.3438[/C][C]3.20624[/C][/ROW]
[ROW][C]233[/C][C]19.1[/C][C]17.6341[/C][C]1.46592[/C][/ROW]
[ROW][C]234[/C][C]13.1[/C][C]12.9671[/C][C]0.132928[/C][/ROW]
[ROW][C]235[/C][C]12.85[/C][C]14.4287[/C][C]-1.57867[/C][/ROW]
[ROW][C]236[/C][C]9.5[/C][C]15.8007[/C][C]-6.30065[/C][/ROW]
[ROW][C]237[/C][C]4.5[/C][C]3.75912[/C][C]0.740876[/C][/ROW]
[ROW][C]238[/C][C]11.85[/C][C]11.3969[/C][C]0.453134[/C][/ROW]
[ROW][C]239[/C][C]13.6[/C][C]13.578[/C][C]0.0220272[/C][/ROW]
[ROW][C]240[/C][C]11.7[/C][C]10.8398[/C][C]0.860244[/C][/ROW]
[ROW][C]241[/C][C]12.4[/C][C]12.845[/C][C]-0.445036[/C][/ROW]
[ROW][C]242[/C][C]13.35[/C][C]14.4856[/C][C]-1.13557[/C][/ROW]
[ROW][C]243[/C][C]11.4[/C][C]8.43526[/C][C]2.96474[/C][/ROW]
[ROW][C]244[/C][C]14.9[/C][C]10.687[/C][C]4.21298[/C][/ROW]
[ROW][C]245[/C][C]19.9[/C][C]19.8199[/C][C]0.0800543[/C][/ROW]
[ROW][C]246[/C][C]11.2[/C][C]9.67787[/C][C]1.52213[/C][/ROW]
[ROW][C]247[/C][C]14.6[/C][C]12.4715[/C][C]2.12854[/C][/ROW]
[ROW][C]248[/C][C]17.6[/C][C]15.4963[/C][C]2.10369[/C][/ROW]
[ROW][C]249[/C][C]14.05[/C][C]12.4785[/C][C]1.57147[/C][/ROW]
[ROW][C]250[/C][C]16.1[/C][C]14.7413[/C][C]1.35868[/C][/ROW]
[ROW][C]251[/C][C]13.35[/C][C]13.401[/C][C]-0.0509746[/C][/ROW]
[ROW][C]252[/C][C]11.85[/C][C]13.5549[/C][C]-1.70491[/C][/ROW]
[ROW][C]253[/C][C]11.95[/C][C]9.98298[/C][C]1.96702[/C][/ROW]
[ROW][C]254[/C][C]14.75[/C][C]13.4149[/C][C]1.33507[/C][/ROW]
[ROW][C]255[/C][C]15.15[/C][C]15.1687[/C][C]-0.0187049[/C][/ROW]
[ROW][C]256[/C][C]13.2[/C][C]10.5461[/C][C]2.65395[/C][/ROW]
[ROW][C]257[/C][C]16.85[/C][C]19.9386[/C][C]-3.08861[/C][/ROW]
[ROW][C]258[/C][C]7.85[/C][C]12.6004[/C][C]-4.75041[/C][/ROW]
[ROW][C]259[/C][C]7.7[/C][C]8.7694[/C][C]-1.0694[/C][/ROW]
[ROW][C]260[/C][C]12.6[/C][C]16.919[/C][C]-4.31901[/C][/ROW]
[ROW][C]261[/C][C]7.85[/C][C]7.32955[/C][C]0.52045[/C][/ROW]
[ROW][C]262[/C][C]10.95[/C][C]11.4595[/C][C]-0.509525[/C][/ROW]
[ROW][C]263[/C][C]12.35[/C][C]14.1337[/C][C]-1.78367[/C][/ROW]
[ROW][C]264[/C][C]9.95[/C][C]6.98526[/C][C]2.96474[/C][/ROW]
[ROW][C]265[/C][C]14.9[/C][C]11.1679[/C][C]3.7321[/C][/ROW]
[ROW][C]266[/C][C]16.65[/C][C]15.1933[/C][C]1.45674[/C][/ROW]
[ROW][C]267[/C][C]13.4[/C][C]11.5031[/C][C]1.89691[/C][/ROW]
[ROW][C]268[/C][C]13.95[/C][C]10.6769[/C][C]3.2731[/C][/ROW]
[ROW][C]269[/C][C]15.7[/C][C]11.5412[/C][C]4.15882[/C][/ROW]
[ROW][C]270[/C][C]16.85[/C][C]17.2701[/C][C]-0.420143[/C][/ROW]
[ROW][C]271[/C][C]10.95[/C][C]7.81719[/C][C]3.13281[/C][/ROW]
[ROW][C]272[/C][C]15.35[/C][C]14.3215[/C][C]1.0285[/C][/ROW]
[ROW][C]273[/C][C]12.2[/C][C]10.1252[/C][C]2.07483[/C][/ROW]
[ROW][C]274[/C][C]15.1[/C][C]11.6614[/C][C]3.43859[/C][/ROW]
[ROW][C]275[/C][C]17.75[/C][C]15.5936[/C][C]2.15645[/C][/ROW]
[ROW][C]276[/C][C]15.2[/C][C]13.5974[/C][C]1.60259[/C][/ROW]
[ROW][C]277[/C][C]14.6[/C][C]11.7959[/C][C]2.80409[/C][/ROW]
[ROW][C]278[/C][C]16.65[/C][C]18.9109[/C][C]-2.26091[/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=269024&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=269024&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
112.915.304-2.40402
212.212.9655-0.765457
312.813.4527-0.652676
47.414.3561-6.95613
56.712.5136-5.81357
612.614.748-2.14804
714.815.0634-0.263379
813.314.3973-1.09731
911.115.0468-3.94685
108.213.3765-5.17649
1111.413.8817-2.48175
126.414.3208-7.92078
1310.612.236-1.63601
141216.0866-4.08658
156.311.439-5.13901
1611.312.564-1.26396
1711.914.623-2.72299
189.313.0469-3.7469
199.613.1792-3.5792
201013.5839-3.58389
216.412.2044-5.80439
2213.812.42221.37782
2310.815.01-4.21005
2413.815.1364-1.33645
2511.713.8372-2.13716
2610.915.7027-4.80271
2716.115.17620.923827
2813.413.10980.290174
299.914.1899-4.28989
3011.513.7642-2.26419
318.313.0373-4.73731
3211.713.9086-2.20862
33912.6208-3.62083
349.713.9676-4.26762
3510.812.5106-1.71062
3610.311.8615-1.56154
3710.413.3341-2.93405
3812.711.83170.868271
399.313.8464-4.54639
4011.814.5993-2.79934
415.912.068-6.16796
4211.413.0539-1.65392
431314.0288-1.02884
4410.813.9005-3.10054
4512.311.34770.952277
4611.314.8021-3.50206
4711.813.2957-1.49566
487.912.3878-4.48783
4912.713.6878-0.987774
5012.310.7861.51399
5111.612.5298-0.929767
526.710.7609-4.06089
5310.912.5652-1.66522
5412.112.7686-0.668626
5513.312.95040.349642
5610.112.5316-2.43158
575.712.8663-7.16627
5814.312.85051.44948
59810.2368-2.23675
6013.312.71950.580471
619.315.0741-5.7741
6212.512.8365-0.336461
637.612.9197-5.31971
6415.915.19980.700169
659.214.2544-5.05438
669.111.2131-2.11314
6711.115.4637-4.36372
681317.115-4.11498
6914.512.86171.63833
7012.212.752-0.552013
7112.315.0391-2.73908
7211.412.9834-1.58345
738.812.9222-4.1222
7414.613.34141.25864
7512.614.0907-1.4907
76NANA-2.06114
771312.42740.572646
7812.614.4151-1.8151
7913.215.066-1.86599
809.915.2189-5.31889
817.710.0308-2.33082
8210.59.739240.760757
8313.415.7274-2.32743
8410.918.1718-7.27184
854.37.22161-2.92161
8610.312.186-1.88599
8711.812.3575-0.557549
8811.211.5822-0.382182
8911.415.2191-3.81911
908.68.432940.167063
9113.212.0241.17596
9212.618.7724-6.1724
935.69.49921-3.89921
949.913.2383-3.33829
958.812.4934-3.69345
967.711.2235-3.52345
97914.2825-5.28246
987.37.150410.149593
9911.49.199312.20069
10013.618.0429-4.44292
1017.99.05334-1.15334
10210.713.1243-2.42434
10310.313.4078-3.10784
1048.311.5309-3.23094
1059.67.779731.82027
10614.218.4225-4.22252
1078.56.952581.54742
10813.520.854-7.35401
1094.910.0544-5.15437
1106.49.8981-3.4981
1119.610.7689-1.16892
11211.611.6167-0.0166757
11311.116.9717-5.87167
1144.353.494530.855475
11512.77.53275.1673
11618.113.43844.66156
11717.8517.69880.151167
11816.614.32162.27839
11912.610.67661.92337
12017.113.53153.56853
12119.121.3802-2.28024
12216.113.79952.30053
12313.359.30174.0483
12418.414.12884.27123
12514.716.1971-1.4971
12610.69.776450.823553
12712.69.352523.24748
12816.215.72580.474199
12913.68.949544.65046
13018.916.33612.56394
13114.111.23122.86883
13214.514.37280.127233
13316.1513.6072.54305
13414.7512.53472.2153
13514.813.79241.00759
13612.4511.8230.62698
13712.657.467125.18288
13817.3519.5602-2.21021
1398.65.567053.03295
14018.416.53441.86556
14116.115.49350.606465
14211.65.943435.65657
14317.7516.2481.50198
14415.2510.56694.68309
14517.6515.58642.06357
14616.3513.89682.45324
14717.6516.1881.462
14813.612.51031.08971
14914.3512.94361.40639
15014.759.71065.0394
15118.2522.3054-4.05544
1529.98.188591.71141
1531610.96615.03389
15418.2515.73772.51234
15516.8513.5913.25899
15614.613.79910.80094
15713.8510.35633.49368
15818.9516.57452.37549
15915.615.59740.00263394
16014.8515.4204-0.570374
16111.758.24173.5083
16218.4514.69683.75316
16315.913.92311.97686
16417.111.17295.92707
16516.111.8874.21298
16619.919.37960.52045
16710.957.309353.64065
16818.4514.33134.11869
16915.113.37791.72212
1701517.1399-2.13988
17111.358.224983.12502
17215.9511.83194.11812
17318.117.26930.830701
17414.612.0662.53403
17515.412.8662.53403
17615.411.11044.28959
17717.617.6301-0.0300808
17813.358.381244.96876
17919.117.49651.60355
18015.3518.9668-3.61681
1817.69.16522-1.56522
18213.412.89260.507437
18313.99.063614.83639
18419.117.76441.33555
18515.2514.99890.251142
18612.910.90131.9987
18716.111.22844.87156
18817.3517.4764-0.12642
18913.1512.51760.632405
19012.1511.31710.832893
19112.613.4712-0.871241
19210.357.793112.55689
19315.416.8459-1.44587
1949.64.349985.25002
19518.216.65161.54836
19613.611.03382.56616
19714.8514.8040.0459955
19814.7513.2631.48697
19914.110.98933.11075
20014.911.9252.97497
20116.2511.98244.26761
20219.2516.89492.35513
20313.613.34580.25416
20413.611.3822.21803
20515.6514.40591.24411
20612.759.914852.83515
20714.616.363-1.76302
2089.858.158431.69157
20912.658.077094.57291
21019.215.67753.52248
21116.616.9371-0.337059
21211.28.626112.57389
21315.2517.4016-2.15162
21411.910.86441.0356
21513.212.17761.02236
21616.3515.84810.501902
21712.48.926113.47389
21815.8511.05324.79678
21918.1518.8548-0.704793
22011.159.437651.71235
22115.6511.17884.47124
22217.7521.6422-3.89223
2237.656.582491.06751
22412.357.891374.45863
22515.610.65514.94493
22619.315.80993.49008
22715.210.5664.63396
22817.113.24943.85055
22915.612.02643.57364
23018.413.20195.19812
23119.0513.36235.68774
23218.5515.34383.20624
23319.117.63411.46592
23413.112.96710.132928
23512.8514.4287-1.57867
2369.515.8007-6.30065
2374.53.759120.740876
23811.8511.39690.453134
23913.613.5780.0220272
24011.710.83980.860244
24112.412.845-0.445036
24213.3514.4856-1.13557
24311.48.435262.96474
24414.910.6874.21298
24519.919.81990.0800543
24611.29.677871.52213
24714.612.47152.12854
24817.615.49632.10369
24914.0512.47851.57147
25016.114.74131.35868
25113.3513.401-0.0509746
25211.8513.5549-1.70491
25311.959.982981.96702
25414.7513.41491.33507
25515.1515.1687-0.0187049
25613.210.54612.65395
25716.8519.9386-3.08861
2587.8512.6004-4.75041
2597.78.7694-1.0694
26012.616.919-4.31901
2617.857.329550.52045
26210.9511.4595-0.509525
26312.3514.1337-1.78367
2649.956.985262.96474
26514.911.16793.7321
26616.6515.19331.45674
26713.411.50311.89691
26813.9510.67693.2731
26915.711.54124.15882
27016.8517.2701-0.420143
27110.957.817193.13281
27215.3514.32151.0285
27312.210.12522.07483
27415.111.66143.43859
27517.7515.59362.15645
27615.213.59741.60259
27714.611.79592.80409
27816.6518.9109-2.26091
2798.1NANA






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
80.6774360.6451270.322564
90.5362940.9274120.463706
100.4356520.8713040.564348
110.310990.621980.68901
120.3153180.6306360.684682
130.2594230.5188460.740577
140.2006120.4012230.799388
150.175830.351660.82417
160.1434520.2869030.856548
170.1056990.2113990.894301
180.08879270.1775850.911207
190.06854520.137090.931455
200.04561580.09123160.954384
210.03737080.07474150.962629
220.07297460.1459490.927025
230.06525940.1305190.934741
240.05819220.1163840.941808
250.04431480.08862960.955685
260.05577020.111540.94423
270.0693610.1387220.930639
280.07466380.1493280.925336
290.06251280.1250260.937487
300.05039030.1007810.94961
310.03837250.07674510.961627
320.02766370.05532740.972336
330.02062440.04124880.979376
340.01939810.03879620.980602
350.01764510.03529010.982355
360.01544510.03089020.984555
370.0137260.02745210.986274
380.02175640.04351280.978244
390.02010520.04021030.979895
400.01509610.03019230.984904
410.02075850.0415170.979241
420.01651750.03303490.983483
430.01452690.02905390.985473
440.01155570.02311140.988444
450.0176270.03525410.982373
460.01476340.02952670.985237
470.01125890.02251770.988741
480.01170140.02340290.988299
490.009030340.01806070.99097
500.01250110.02500220.987499
510.00995380.01990760.990046
520.01007810.02015620.989922
530.008129140.01625830.991871
540.006671780.01334360.993328
550.007435470.01487090.992565
560.005796390.01159280.994204
570.01544850.03089690.984552
580.02356430.04712850.976436
590.01829440.03658870.981706
600.01697680.03395370.983023
610.02533390.05066790.974666
620.02396420.04792840.976036
630.02805910.05611830.971941
640.03346740.06693470.966533
650.04097280.08194570.959027
660.03372220.06744430.966278
670.03486530.06973060.965135
680.03981690.07963380.960183
690.0557160.1114320.944284
700.05219210.1043840.947808
710.0499230.0998460.950077
720.04295650.08591310.957043
730.04108290.08216580.958917
740.04843090.09686180.951569
750.04445810.08891610.955542
760.04186560.08373120.958134
770.03813120.07626230.961869
780.03624510.07249010.963755
790.03010.06020010.9699
800.04277140.08554280.957229
810.03687060.07374130.963129
820.03977330.07954650.960227
830.03403090.06806180.965969
840.09529590.1905920.904704
850.09082610.1816520.909174
860.08246660.1649330.917533
870.07198910.1439780.928011
880.06260560.1252110.937394
890.06541860.1308370.934581
900.06678910.1335780.933211
910.06925240.1385050.930748
920.1285440.2570880.871456
930.1477440.2954880.852256
940.1479180.2958350.852082
950.1606670.3213340.839333
960.1741990.3483980.825801
970.2587450.5174890.741255
980.2456470.4912930.754353
990.2724870.5449730.727513
1000.3267450.6534910.673255
1010.3012510.6025020.698749
1020.2930850.586170.706915
1030.298380.5967610.70162
1040.3293840.6587670.670616
1050.3549710.7099410.645029
1060.3967880.7935760.603212
1070.4348150.869630.565185
1080.6672310.6655390.332769
1090.7362120.5275760.263788
1100.7596960.4806070.240304
1110.7583230.4833540.241677
1120.7468740.5062520.253126
1130.8537890.2924230.146211
1140.8536680.2926640.146332
1150.9332220.1335550.0667775
1160.9642180.07156480.0357824
1170.9666570.06668630.0333431
1180.969580.06084070.0304204
1190.9747410.05051890.0252595
1200.9853560.02928860.0146443
1210.9879530.02409370.0120468
1220.9899990.02000170.0100008
1230.9947690.01046240.00523121
1240.9976850.004629570.00231479
1250.9976140.004771320.00238566
1260.9973360.005328110.00266405
1270.997870.004259070.00212953
1280.9975660.004868250.00243412
1290.9987410.002518210.0012591
1300.9987820.002435130.00121757
1310.9988660.002268340.00113417
1320.998940.002120890.00106044
1330.9989870.002026860.00101343
1340.9989880.002024850.00101243
1350.9987410.002518260.00125913
1360.9984340.003132040.00156602
1370.9992630.001474250.000737126
1380.9991510.00169880.000849402
1390.9993180.001364630.000682316
1400.9992240.001551380.000775689
1410.9989980.00200410.00100205
1420.9995260.0009478640.000473932
1430.9994910.001018690.000509344
1440.9996820.0006363390.00031817
1450.999680.0006408730.000320437
1460.9996860.0006280550.000314027
1470.9996170.0007661380.000383069
1480.9995460.0009072560.000453628
1490.9994890.001021160.000510582
1500.9996560.0006877960.000343898
1510.9999240.0001523267.61632e-05
1520.9999050.0001906539.53264e-05
1530.9999380.0001236256.18126e-05
1540.9999360.0001271466.35728e-05
1550.9999480.0001040295.20146e-05
1560.9999280.000143227.16098e-05
1570.9999260.0001485367.4268e-05
1580.9999180.0001633438.16715e-05
1590.9999040.0001918219.59107e-05
1600.9998770.0002461430.000123072
1610.9998890.0002213990.000110699
1620.999910.0001796918.98456e-05
1630.9999030.0001945489.72741e-05
1640.9999941.296e-056.48002e-06
1650.9999941.14093e-055.70463e-06
1660.9999921.63029e-058.15145e-06
1670.9999921.55447e-057.77234e-06
1680.9999959.8495e-064.92475e-06
1690.9999931.34586e-056.7293e-06
1700.9999941.20811e-056.04053e-06
1710.9999941.23625e-056.18124e-06
1720.9999959.86582e-064.93291e-06
1730.9999931.35576e-056.77881e-06
1740.9999911.75443e-058.77217e-06
1750.9999892.28582e-051.14291e-05
1760.9999921.66842e-058.3421e-06
1770.9999892.25374e-051.12687e-05
1780.9999911.74678e-058.7339e-06
1790.9999882.49651e-051.24825e-05
1800.9999911.79964e-058.99818e-06
1810.9999911.88317e-059.41584e-06
1820.9999882.49121e-051.24561e-05
1830.999992.07493e-051.03747e-05
1840.9999853.00424e-051.50212e-05
1850.9999813.70594e-051.85297e-05
1860.9999745.19418e-052.59709e-05
1870.9999853.04082e-051.52041e-05
1880.999983.97858e-051.98929e-05
1890.9999725.61156e-052.80578e-05
1900.999967.99971e-053.99986e-05
1910.9999410.0001173035.86516e-05
1920.9999280.0001447577.23787e-05
1930.9999070.0001866659.33326e-05
1940.9999460.0001076215.38103e-05
1950.9999260.0001489547.44771e-05
1960.9999230.000153427.67099e-05
1970.9999260.0001485527.4276e-05
1980.9998960.0002073890.000103695
1990.9998950.0002097190.000104859
2000.9998710.0002584950.000129248
2010.9998460.0003081130.000154056
2020.9998410.0003177860.000158893
2030.9998340.0003319570.000165978
2040.9997670.0004653530.000232676
2050.9996650.0006696930.000334846
2060.9996890.0006226550.000311327
2070.9995670.0008668150.000433408
2080.9995440.0009119980.000455999
2090.999540.0009204320.000460216
2100.9995550.0008900120.000445006
2110.9993810.001238940.00061947
2120.9991470.001705490.000852747
2130.9994010.001198390.000599194
2140.9991410.001717980.000858992
2150.999080.001839010.000919506
2160.9986820.002635270.00131763
2170.9987720.002456690.00122835
2180.9986260.002748610.00137431
2190.9980220.003956820.00197841
2200.9972280.005544810.00277241
2210.9968940.00621170.00310585
2220.9979710.00405720.0020286
2230.9970910.005818490.00290924
2240.9973710.005257020.00262851
2250.9969750.006050180.00302509
2260.9977660.004468210.0022341
2270.9978410.004317060.00215853
2280.9986630.002674320.00133716
2290.9984990.003002940.00150147
2300.9986140.00277240.0013862
2310.9988950.002209360.00110468
2320.9984060.003188450.00159423
2330.9979160.004168880.00208444
2340.9972550.005490590.0027453
2350.9966080.006784570.00339229
2360.9992050.001589520.000794759
2370.9988660.002267130.00113357
2380.9984680.003063140.00153157
2390.99760.004799380.00239969
2400.9963450.007309310.00365465
2410.9954090.009182170.00459108
2420.9937320.01253580.0062679
2430.9932020.01359570.00679784
2440.9909430.01811330.00905663
2450.9863740.02725290.0136265
2460.9800980.03980340.0199017
2470.9731330.05373310.0268666
2480.9652640.06947170.0347359
2490.9519050.09618980.0480949
2500.9337730.1324540.0662271
2510.9114290.1771410.0885706
2520.9157120.1685760.0842879
2530.8905150.218970.109485
2540.8548870.2902250.145113
2550.838960.322080.16104
2560.7920760.4158490.207924
2570.7810390.4379220.218961
2580.9409820.1180370.0590185
2590.9543660.09126720.0456336
2600.9981930.003613530.00180677
2610.9969310.006137830.00306891
2620.9974570.005085460.00254273
2630.9998980.0002036280.000101814
2640.9996730.0006547250.000327362
2650.9994820.001036460.000518228
2660.999040.001919840.000959921
2670.9991060.001788580.000894288
2680.9968860.006227560.00311378
2690.9930640.01387240.00693621
2700.970080.05984030.0299202
2710.9229380.1541240.0770621

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
8 & 0.677436 & 0.645127 & 0.322564 \tabularnewline
9 & 0.536294 & 0.927412 & 0.463706 \tabularnewline
10 & 0.435652 & 0.871304 & 0.564348 \tabularnewline
11 & 0.31099 & 0.62198 & 0.68901 \tabularnewline
12 & 0.315318 & 0.630636 & 0.684682 \tabularnewline
13 & 0.259423 & 0.518846 & 0.740577 \tabularnewline
14 & 0.200612 & 0.401223 & 0.799388 \tabularnewline
15 & 0.17583 & 0.35166 & 0.82417 \tabularnewline
16 & 0.143452 & 0.286903 & 0.856548 \tabularnewline
17 & 0.105699 & 0.211399 & 0.894301 \tabularnewline
18 & 0.0887927 & 0.177585 & 0.911207 \tabularnewline
19 & 0.0685452 & 0.13709 & 0.931455 \tabularnewline
20 & 0.0456158 & 0.0912316 & 0.954384 \tabularnewline
21 & 0.0373708 & 0.0747415 & 0.962629 \tabularnewline
22 & 0.0729746 & 0.145949 & 0.927025 \tabularnewline
23 & 0.0652594 & 0.130519 & 0.934741 \tabularnewline
24 & 0.0581922 & 0.116384 & 0.941808 \tabularnewline
25 & 0.0443148 & 0.0886296 & 0.955685 \tabularnewline
26 & 0.0557702 & 0.11154 & 0.94423 \tabularnewline
27 & 0.069361 & 0.138722 & 0.930639 \tabularnewline
28 & 0.0746638 & 0.149328 & 0.925336 \tabularnewline
29 & 0.0625128 & 0.125026 & 0.937487 \tabularnewline
30 & 0.0503903 & 0.100781 & 0.94961 \tabularnewline
31 & 0.0383725 & 0.0767451 & 0.961627 \tabularnewline
32 & 0.0276637 & 0.0553274 & 0.972336 \tabularnewline
33 & 0.0206244 & 0.0412488 & 0.979376 \tabularnewline
34 & 0.0193981 & 0.0387962 & 0.980602 \tabularnewline
35 & 0.0176451 & 0.0352901 & 0.982355 \tabularnewline
36 & 0.0154451 & 0.0308902 & 0.984555 \tabularnewline
37 & 0.013726 & 0.0274521 & 0.986274 \tabularnewline
38 & 0.0217564 & 0.0435128 & 0.978244 \tabularnewline
39 & 0.0201052 & 0.0402103 & 0.979895 \tabularnewline
40 & 0.0150961 & 0.0301923 & 0.984904 \tabularnewline
41 & 0.0207585 & 0.041517 & 0.979241 \tabularnewline
42 & 0.0165175 & 0.0330349 & 0.983483 \tabularnewline
43 & 0.0145269 & 0.0290539 & 0.985473 \tabularnewline
44 & 0.0115557 & 0.0231114 & 0.988444 \tabularnewline
45 & 0.017627 & 0.0352541 & 0.982373 \tabularnewline
46 & 0.0147634 & 0.0295267 & 0.985237 \tabularnewline
47 & 0.0112589 & 0.0225177 & 0.988741 \tabularnewline
48 & 0.0117014 & 0.0234029 & 0.988299 \tabularnewline
49 & 0.00903034 & 0.0180607 & 0.99097 \tabularnewline
50 & 0.0125011 & 0.0250022 & 0.987499 \tabularnewline
51 & 0.0099538 & 0.0199076 & 0.990046 \tabularnewline
52 & 0.0100781 & 0.0201562 & 0.989922 \tabularnewline
53 & 0.00812914 & 0.0162583 & 0.991871 \tabularnewline
54 & 0.00667178 & 0.0133436 & 0.993328 \tabularnewline
55 & 0.00743547 & 0.0148709 & 0.992565 \tabularnewline
56 & 0.00579639 & 0.0115928 & 0.994204 \tabularnewline
57 & 0.0154485 & 0.0308969 & 0.984552 \tabularnewline
58 & 0.0235643 & 0.0471285 & 0.976436 \tabularnewline
59 & 0.0182944 & 0.0365887 & 0.981706 \tabularnewline
60 & 0.0169768 & 0.0339537 & 0.983023 \tabularnewline
61 & 0.0253339 & 0.0506679 & 0.974666 \tabularnewline
62 & 0.0239642 & 0.0479284 & 0.976036 \tabularnewline
63 & 0.0280591 & 0.0561183 & 0.971941 \tabularnewline
64 & 0.0334674 & 0.0669347 & 0.966533 \tabularnewline
65 & 0.0409728 & 0.0819457 & 0.959027 \tabularnewline
66 & 0.0337222 & 0.0674443 & 0.966278 \tabularnewline
67 & 0.0348653 & 0.0697306 & 0.965135 \tabularnewline
68 & 0.0398169 & 0.0796338 & 0.960183 \tabularnewline
69 & 0.055716 & 0.111432 & 0.944284 \tabularnewline
70 & 0.0521921 & 0.104384 & 0.947808 \tabularnewline
71 & 0.049923 & 0.099846 & 0.950077 \tabularnewline
72 & 0.0429565 & 0.0859131 & 0.957043 \tabularnewline
73 & 0.0410829 & 0.0821658 & 0.958917 \tabularnewline
74 & 0.0484309 & 0.0968618 & 0.951569 \tabularnewline
75 & 0.0444581 & 0.0889161 & 0.955542 \tabularnewline
76 & 0.0418656 & 0.0837312 & 0.958134 \tabularnewline
77 & 0.0381312 & 0.0762623 & 0.961869 \tabularnewline
78 & 0.0362451 & 0.0724901 & 0.963755 \tabularnewline
79 & 0.0301 & 0.0602001 & 0.9699 \tabularnewline
80 & 0.0427714 & 0.0855428 & 0.957229 \tabularnewline
81 & 0.0368706 & 0.0737413 & 0.963129 \tabularnewline
82 & 0.0397733 & 0.0795465 & 0.960227 \tabularnewline
83 & 0.0340309 & 0.0680618 & 0.965969 \tabularnewline
84 & 0.0952959 & 0.190592 & 0.904704 \tabularnewline
85 & 0.0908261 & 0.181652 & 0.909174 \tabularnewline
86 & 0.0824666 & 0.164933 & 0.917533 \tabularnewline
87 & 0.0719891 & 0.143978 & 0.928011 \tabularnewline
88 & 0.0626056 & 0.125211 & 0.937394 \tabularnewline
89 & 0.0654186 & 0.130837 & 0.934581 \tabularnewline
90 & 0.0667891 & 0.133578 & 0.933211 \tabularnewline
91 & 0.0692524 & 0.138505 & 0.930748 \tabularnewline
92 & 0.128544 & 0.257088 & 0.871456 \tabularnewline
93 & 0.147744 & 0.295488 & 0.852256 \tabularnewline
94 & 0.147918 & 0.295835 & 0.852082 \tabularnewline
95 & 0.160667 & 0.321334 & 0.839333 \tabularnewline
96 & 0.174199 & 0.348398 & 0.825801 \tabularnewline
97 & 0.258745 & 0.517489 & 0.741255 \tabularnewline
98 & 0.245647 & 0.491293 & 0.754353 \tabularnewline
99 & 0.272487 & 0.544973 & 0.727513 \tabularnewline
100 & 0.326745 & 0.653491 & 0.673255 \tabularnewline
101 & 0.301251 & 0.602502 & 0.698749 \tabularnewline
102 & 0.293085 & 0.58617 & 0.706915 \tabularnewline
103 & 0.29838 & 0.596761 & 0.70162 \tabularnewline
104 & 0.329384 & 0.658767 & 0.670616 \tabularnewline
105 & 0.354971 & 0.709941 & 0.645029 \tabularnewline
106 & 0.396788 & 0.793576 & 0.603212 \tabularnewline
107 & 0.434815 & 0.86963 & 0.565185 \tabularnewline
108 & 0.667231 & 0.665539 & 0.332769 \tabularnewline
109 & 0.736212 & 0.527576 & 0.263788 \tabularnewline
110 & 0.759696 & 0.480607 & 0.240304 \tabularnewline
111 & 0.758323 & 0.483354 & 0.241677 \tabularnewline
112 & 0.746874 & 0.506252 & 0.253126 \tabularnewline
113 & 0.853789 & 0.292423 & 0.146211 \tabularnewline
114 & 0.853668 & 0.292664 & 0.146332 \tabularnewline
115 & 0.933222 & 0.133555 & 0.0667775 \tabularnewline
116 & 0.964218 & 0.0715648 & 0.0357824 \tabularnewline
117 & 0.966657 & 0.0666863 & 0.0333431 \tabularnewline
118 & 0.96958 & 0.0608407 & 0.0304204 \tabularnewline
119 & 0.974741 & 0.0505189 & 0.0252595 \tabularnewline
120 & 0.985356 & 0.0292886 & 0.0146443 \tabularnewline
121 & 0.987953 & 0.0240937 & 0.0120468 \tabularnewline
122 & 0.989999 & 0.0200017 & 0.0100008 \tabularnewline
123 & 0.994769 & 0.0104624 & 0.00523121 \tabularnewline
124 & 0.997685 & 0.00462957 & 0.00231479 \tabularnewline
125 & 0.997614 & 0.00477132 & 0.00238566 \tabularnewline
126 & 0.997336 & 0.00532811 & 0.00266405 \tabularnewline
127 & 0.99787 & 0.00425907 & 0.00212953 \tabularnewline
128 & 0.997566 & 0.00486825 & 0.00243412 \tabularnewline
129 & 0.998741 & 0.00251821 & 0.0012591 \tabularnewline
130 & 0.998782 & 0.00243513 & 0.00121757 \tabularnewline
131 & 0.998866 & 0.00226834 & 0.00113417 \tabularnewline
132 & 0.99894 & 0.00212089 & 0.00106044 \tabularnewline
133 & 0.998987 & 0.00202686 & 0.00101343 \tabularnewline
134 & 0.998988 & 0.00202485 & 0.00101243 \tabularnewline
135 & 0.998741 & 0.00251826 & 0.00125913 \tabularnewline
136 & 0.998434 & 0.00313204 & 0.00156602 \tabularnewline
137 & 0.999263 & 0.00147425 & 0.000737126 \tabularnewline
138 & 0.999151 & 0.0016988 & 0.000849402 \tabularnewline
139 & 0.999318 & 0.00136463 & 0.000682316 \tabularnewline
140 & 0.999224 & 0.00155138 & 0.000775689 \tabularnewline
141 & 0.998998 & 0.0020041 & 0.00100205 \tabularnewline
142 & 0.999526 & 0.000947864 & 0.000473932 \tabularnewline
143 & 0.999491 & 0.00101869 & 0.000509344 \tabularnewline
144 & 0.999682 & 0.000636339 & 0.00031817 \tabularnewline
145 & 0.99968 & 0.000640873 & 0.000320437 \tabularnewline
146 & 0.999686 & 0.000628055 & 0.000314027 \tabularnewline
147 & 0.999617 & 0.000766138 & 0.000383069 \tabularnewline
148 & 0.999546 & 0.000907256 & 0.000453628 \tabularnewline
149 & 0.999489 & 0.00102116 & 0.000510582 \tabularnewline
150 & 0.999656 & 0.000687796 & 0.000343898 \tabularnewline
151 & 0.999924 & 0.000152326 & 7.61632e-05 \tabularnewline
152 & 0.999905 & 0.000190653 & 9.53264e-05 \tabularnewline
153 & 0.999938 & 0.000123625 & 6.18126e-05 \tabularnewline
154 & 0.999936 & 0.000127146 & 6.35728e-05 \tabularnewline
155 & 0.999948 & 0.000104029 & 5.20146e-05 \tabularnewline
156 & 0.999928 & 0.00014322 & 7.16098e-05 \tabularnewline
157 & 0.999926 & 0.000148536 & 7.4268e-05 \tabularnewline
158 & 0.999918 & 0.000163343 & 8.16715e-05 \tabularnewline
159 & 0.999904 & 0.000191821 & 9.59107e-05 \tabularnewline
160 & 0.999877 & 0.000246143 & 0.000123072 \tabularnewline
161 & 0.999889 & 0.000221399 & 0.000110699 \tabularnewline
162 & 0.99991 & 0.000179691 & 8.98456e-05 \tabularnewline
163 & 0.999903 & 0.000194548 & 9.72741e-05 \tabularnewline
164 & 0.999994 & 1.296e-05 & 6.48002e-06 \tabularnewline
165 & 0.999994 & 1.14093e-05 & 5.70463e-06 \tabularnewline
166 & 0.999992 & 1.63029e-05 & 8.15145e-06 \tabularnewline
167 & 0.999992 & 1.55447e-05 & 7.77234e-06 \tabularnewline
168 & 0.999995 & 9.8495e-06 & 4.92475e-06 \tabularnewline
169 & 0.999993 & 1.34586e-05 & 6.7293e-06 \tabularnewline
170 & 0.999994 & 1.20811e-05 & 6.04053e-06 \tabularnewline
171 & 0.999994 & 1.23625e-05 & 6.18124e-06 \tabularnewline
172 & 0.999995 & 9.86582e-06 & 4.93291e-06 \tabularnewline
173 & 0.999993 & 1.35576e-05 & 6.77881e-06 \tabularnewline
174 & 0.999991 & 1.75443e-05 & 8.77217e-06 \tabularnewline
175 & 0.999989 & 2.28582e-05 & 1.14291e-05 \tabularnewline
176 & 0.999992 & 1.66842e-05 & 8.3421e-06 \tabularnewline
177 & 0.999989 & 2.25374e-05 & 1.12687e-05 \tabularnewline
178 & 0.999991 & 1.74678e-05 & 8.7339e-06 \tabularnewline
179 & 0.999988 & 2.49651e-05 & 1.24825e-05 \tabularnewline
180 & 0.999991 & 1.79964e-05 & 8.99818e-06 \tabularnewline
181 & 0.999991 & 1.88317e-05 & 9.41584e-06 \tabularnewline
182 & 0.999988 & 2.49121e-05 & 1.24561e-05 \tabularnewline
183 & 0.99999 & 2.07493e-05 & 1.03747e-05 \tabularnewline
184 & 0.999985 & 3.00424e-05 & 1.50212e-05 \tabularnewline
185 & 0.999981 & 3.70594e-05 & 1.85297e-05 \tabularnewline
186 & 0.999974 & 5.19418e-05 & 2.59709e-05 \tabularnewline
187 & 0.999985 & 3.04082e-05 & 1.52041e-05 \tabularnewline
188 & 0.99998 & 3.97858e-05 & 1.98929e-05 \tabularnewline
189 & 0.999972 & 5.61156e-05 & 2.80578e-05 \tabularnewline
190 & 0.99996 & 7.99971e-05 & 3.99986e-05 \tabularnewline
191 & 0.999941 & 0.000117303 & 5.86516e-05 \tabularnewline
192 & 0.999928 & 0.000144757 & 7.23787e-05 \tabularnewline
193 & 0.999907 & 0.000186665 & 9.33326e-05 \tabularnewline
194 & 0.999946 & 0.000107621 & 5.38103e-05 \tabularnewline
195 & 0.999926 & 0.000148954 & 7.44771e-05 \tabularnewline
196 & 0.999923 & 0.00015342 & 7.67099e-05 \tabularnewline
197 & 0.999926 & 0.000148552 & 7.4276e-05 \tabularnewline
198 & 0.999896 & 0.000207389 & 0.000103695 \tabularnewline
199 & 0.999895 & 0.000209719 & 0.000104859 \tabularnewline
200 & 0.999871 & 0.000258495 & 0.000129248 \tabularnewline
201 & 0.999846 & 0.000308113 & 0.000154056 \tabularnewline
202 & 0.999841 & 0.000317786 & 0.000158893 \tabularnewline
203 & 0.999834 & 0.000331957 & 0.000165978 \tabularnewline
204 & 0.999767 & 0.000465353 & 0.000232676 \tabularnewline
205 & 0.999665 & 0.000669693 & 0.000334846 \tabularnewline
206 & 0.999689 & 0.000622655 & 0.000311327 \tabularnewline
207 & 0.999567 & 0.000866815 & 0.000433408 \tabularnewline
208 & 0.999544 & 0.000911998 & 0.000455999 \tabularnewline
209 & 0.99954 & 0.000920432 & 0.000460216 \tabularnewline
210 & 0.999555 & 0.000890012 & 0.000445006 \tabularnewline
211 & 0.999381 & 0.00123894 & 0.00061947 \tabularnewline
212 & 0.999147 & 0.00170549 & 0.000852747 \tabularnewline
213 & 0.999401 & 0.00119839 & 0.000599194 \tabularnewline
214 & 0.999141 & 0.00171798 & 0.000858992 \tabularnewline
215 & 0.99908 & 0.00183901 & 0.000919506 \tabularnewline
216 & 0.998682 & 0.00263527 & 0.00131763 \tabularnewline
217 & 0.998772 & 0.00245669 & 0.00122835 \tabularnewline
218 & 0.998626 & 0.00274861 & 0.00137431 \tabularnewline
219 & 0.998022 & 0.00395682 & 0.00197841 \tabularnewline
220 & 0.997228 & 0.00554481 & 0.00277241 \tabularnewline
221 & 0.996894 & 0.0062117 & 0.00310585 \tabularnewline
222 & 0.997971 & 0.0040572 & 0.0020286 \tabularnewline
223 & 0.997091 & 0.00581849 & 0.00290924 \tabularnewline
224 & 0.997371 & 0.00525702 & 0.00262851 \tabularnewline
225 & 0.996975 & 0.00605018 & 0.00302509 \tabularnewline
226 & 0.997766 & 0.00446821 & 0.0022341 \tabularnewline
227 & 0.997841 & 0.00431706 & 0.00215853 \tabularnewline
228 & 0.998663 & 0.00267432 & 0.00133716 \tabularnewline
229 & 0.998499 & 0.00300294 & 0.00150147 \tabularnewline
230 & 0.998614 & 0.0027724 & 0.0013862 \tabularnewline
231 & 0.998895 & 0.00220936 & 0.00110468 \tabularnewline
232 & 0.998406 & 0.00318845 & 0.00159423 \tabularnewline
233 & 0.997916 & 0.00416888 & 0.00208444 \tabularnewline
234 & 0.997255 & 0.00549059 & 0.0027453 \tabularnewline
235 & 0.996608 & 0.00678457 & 0.00339229 \tabularnewline
236 & 0.999205 & 0.00158952 & 0.000794759 \tabularnewline
237 & 0.998866 & 0.00226713 & 0.00113357 \tabularnewline
238 & 0.998468 & 0.00306314 & 0.00153157 \tabularnewline
239 & 0.9976 & 0.00479938 & 0.00239969 \tabularnewline
240 & 0.996345 & 0.00730931 & 0.00365465 \tabularnewline
241 & 0.995409 & 0.00918217 & 0.00459108 \tabularnewline
242 & 0.993732 & 0.0125358 & 0.0062679 \tabularnewline
243 & 0.993202 & 0.0135957 & 0.00679784 \tabularnewline
244 & 0.990943 & 0.0181133 & 0.00905663 \tabularnewline
245 & 0.986374 & 0.0272529 & 0.0136265 \tabularnewline
246 & 0.980098 & 0.0398034 & 0.0199017 \tabularnewline
247 & 0.973133 & 0.0537331 & 0.0268666 \tabularnewline
248 & 0.965264 & 0.0694717 & 0.0347359 \tabularnewline
249 & 0.951905 & 0.0961898 & 0.0480949 \tabularnewline
250 & 0.933773 & 0.132454 & 0.0662271 \tabularnewline
251 & 0.911429 & 0.177141 & 0.0885706 \tabularnewline
252 & 0.915712 & 0.168576 & 0.0842879 \tabularnewline
253 & 0.890515 & 0.21897 & 0.109485 \tabularnewline
254 & 0.854887 & 0.290225 & 0.145113 \tabularnewline
255 & 0.83896 & 0.32208 & 0.16104 \tabularnewline
256 & 0.792076 & 0.415849 & 0.207924 \tabularnewline
257 & 0.781039 & 0.437922 & 0.218961 \tabularnewline
258 & 0.940982 & 0.118037 & 0.0590185 \tabularnewline
259 & 0.954366 & 0.0912672 & 0.0456336 \tabularnewline
260 & 0.998193 & 0.00361353 & 0.00180677 \tabularnewline
261 & 0.996931 & 0.00613783 & 0.00306891 \tabularnewline
262 & 0.997457 & 0.00508546 & 0.00254273 \tabularnewline
263 & 0.999898 & 0.000203628 & 0.000101814 \tabularnewline
264 & 0.999673 & 0.000654725 & 0.000327362 \tabularnewline
265 & 0.999482 & 0.00103646 & 0.000518228 \tabularnewline
266 & 0.99904 & 0.00191984 & 0.000959921 \tabularnewline
267 & 0.999106 & 0.00178858 & 0.000894288 \tabularnewline
268 & 0.996886 & 0.00622756 & 0.00311378 \tabularnewline
269 & 0.993064 & 0.0138724 & 0.00693621 \tabularnewline
270 & 0.97008 & 0.0598403 & 0.0299202 \tabularnewline
271 & 0.922938 & 0.154124 & 0.0770621 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=269024&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]0.677436[/C][C]0.645127[/C][C]0.322564[/C][/ROW]
[ROW][C]9[/C][C]0.536294[/C][C]0.927412[/C][C]0.463706[/C][/ROW]
[ROW][C]10[/C][C]0.435652[/C][C]0.871304[/C][C]0.564348[/C][/ROW]
[ROW][C]11[/C][C]0.31099[/C][C]0.62198[/C][C]0.68901[/C][/ROW]
[ROW][C]12[/C][C]0.315318[/C][C]0.630636[/C][C]0.684682[/C][/ROW]
[ROW][C]13[/C][C]0.259423[/C][C]0.518846[/C][C]0.740577[/C][/ROW]
[ROW][C]14[/C][C]0.200612[/C][C]0.401223[/C][C]0.799388[/C][/ROW]
[ROW][C]15[/C][C]0.17583[/C][C]0.35166[/C][C]0.82417[/C][/ROW]
[ROW][C]16[/C][C]0.143452[/C][C]0.286903[/C][C]0.856548[/C][/ROW]
[ROW][C]17[/C][C]0.105699[/C][C]0.211399[/C][C]0.894301[/C][/ROW]
[ROW][C]18[/C][C]0.0887927[/C][C]0.177585[/C][C]0.911207[/C][/ROW]
[ROW][C]19[/C][C]0.0685452[/C][C]0.13709[/C][C]0.931455[/C][/ROW]
[ROW][C]20[/C][C]0.0456158[/C][C]0.0912316[/C][C]0.954384[/C][/ROW]
[ROW][C]21[/C][C]0.0373708[/C][C]0.0747415[/C][C]0.962629[/C][/ROW]
[ROW][C]22[/C][C]0.0729746[/C][C]0.145949[/C][C]0.927025[/C][/ROW]
[ROW][C]23[/C][C]0.0652594[/C][C]0.130519[/C][C]0.934741[/C][/ROW]
[ROW][C]24[/C][C]0.0581922[/C][C]0.116384[/C][C]0.941808[/C][/ROW]
[ROW][C]25[/C][C]0.0443148[/C][C]0.0886296[/C][C]0.955685[/C][/ROW]
[ROW][C]26[/C][C]0.0557702[/C][C]0.11154[/C][C]0.94423[/C][/ROW]
[ROW][C]27[/C][C]0.069361[/C][C]0.138722[/C][C]0.930639[/C][/ROW]
[ROW][C]28[/C][C]0.0746638[/C][C]0.149328[/C][C]0.925336[/C][/ROW]
[ROW][C]29[/C][C]0.0625128[/C][C]0.125026[/C][C]0.937487[/C][/ROW]
[ROW][C]30[/C][C]0.0503903[/C][C]0.100781[/C][C]0.94961[/C][/ROW]
[ROW][C]31[/C][C]0.0383725[/C][C]0.0767451[/C][C]0.961627[/C][/ROW]
[ROW][C]32[/C][C]0.0276637[/C][C]0.0553274[/C][C]0.972336[/C][/ROW]
[ROW][C]33[/C][C]0.0206244[/C][C]0.0412488[/C][C]0.979376[/C][/ROW]
[ROW][C]34[/C][C]0.0193981[/C][C]0.0387962[/C][C]0.980602[/C][/ROW]
[ROW][C]35[/C][C]0.0176451[/C][C]0.0352901[/C][C]0.982355[/C][/ROW]
[ROW][C]36[/C][C]0.0154451[/C][C]0.0308902[/C][C]0.984555[/C][/ROW]
[ROW][C]37[/C][C]0.013726[/C][C]0.0274521[/C][C]0.986274[/C][/ROW]
[ROW][C]38[/C][C]0.0217564[/C][C]0.0435128[/C][C]0.978244[/C][/ROW]
[ROW][C]39[/C][C]0.0201052[/C][C]0.0402103[/C][C]0.979895[/C][/ROW]
[ROW][C]40[/C][C]0.0150961[/C][C]0.0301923[/C][C]0.984904[/C][/ROW]
[ROW][C]41[/C][C]0.0207585[/C][C]0.041517[/C][C]0.979241[/C][/ROW]
[ROW][C]42[/C][C]0.0165175[/C][C]0.0330349[/C][C]0.983483[/C][/ROW]
[ROW][C]43[/C][C]0.0145269[/C][C]0.0290539[/C][C]0.985473[/C][/ROW]
[ROW][C]44[/C][C]0.0115557[/C][C]0.0231114[/C][C]0.988444[/C][/ROW]
[ROW][C]45[/C][C]0.017627[/C][C]0.0352541[/C][C]0.982373[/C][/ROW]
[ROW][C]46[/C][C]0.0147634[/C][C]0.0295267[/C][C]0.985237[/C][/ROW]
[ROW][C]47[/C][C]0.0112589[/C][C]0.0225177[/C][C]0.988741[/C][/ROW]
[ROW][C]48[/C][C]0.0117014[/C][C]0.0234029[/C][C]0.988299[/C][/ROW]
[ROW][C]49[/C][C]0.00903034[/C][C]0.0180607[/C][C]0.99097[/C][/ROW]
[ROW][C]50[/C][C]0.0125011[/C][C]0.0250022[/C][C]0.987499[/C][/ROW]
[ROW][C]51[/C][C]0.0099538[/C][C]0.0199076[/C][C]0.990046[/C][/ROW]
[ROW][C]52[/C][C]0.0100781[/C][C]0.0201562[/C][C]0.989922[/C][/ROW]
[ROW][C]53[/C][C]0.00812914[/C][C]0.0162583[/C][C]0.991871[/C][/ROW]
[ROW][C]54[/C][C]0.00667178[/C][C]0.0133436[/C][C]0.993328[/C][/ROW]
[ROW][C]55[/C][C]0.00743547[/C][C]0.0148709[/C][C]0.992565[/C][/ROW]
[ROW][C]56[/C][C]0.00579639[/C][C]0.0115928[/C][C]0.994204[/C][/ROW]
[ROW][C]57[/C][C]0.0154485[/C][C]0.0308969[/C][C]0.984552[/C][/ROW]
[ROW][C]58[/C][C]0.0235643[/C][C]0.0471285[/C][C]0.976436[/C][/ROW]
[ROW][C]59[/C][C]0.0182944[/C][C]0.0365887[/C][C]0.981706[/C][/ROW]
[ROW][C]60[/C][C]0.0169768[/C][C]0.0339537[/C][C]0.983023[/C][/ROW]
[ROW][C]61[/C][C]0.0253339[/C][C]0.0506679[/C][C]0.974666[/C][/ROW]
[ROW][C]62[/C][C]0.0239642[/C][C]0.0479284[/C][C]0.976036[/C][/ROW]
[ROW][C]63[/C][C]0.0280591[/C][C]0.0561183[/C][C]0.971941[/C][/ROW]
[ROW][C]64[/C][C]0.0334674[/C][C]0.0669347[/C][C]0.966533[/C][/ROW]
[ROW][C]65[/C][C]0.0409728[/C][C]0.0819457[/C][C]0.959027[/C][/ROW]
[ROW][C]66[/C][C]0.0337222[/C][C]0.0674443[/C][C]0.966278[/C][/ROW]
[ROW][C]67[/C][C]0.0348653[/C][C]0.0697306[/C][C]0.965135[/C][/ROW]
[ROW][C]68[/C][C]0.0398169[/C][C]0.0796338[/C][C]0.960183[/C][/ROW]
[ROW][C]69[/C][C]0.055716[/C][C]0.111432[/C][C]0.944284[/C][/ROW]
[ROW][C]70[/C][C]0.0521921[/C][C]0.104384[/C][C]0.947808[/C][/ROW]
[ROW][C]71[/C][C]0.049923[/C][C]0.099846[/C][C]0.950077[/C][/ROW]
[ROW][C]72[/C][C]0.0429565[/C][C]0.0859131[/C][C]0.957043[/C][/ROW]
[ROW][C]73[/C][C]0.0410829[/C][C]0.0821658[/C][C]0.958917[/C][/ROW]
[ROW][C]74[/C][C]0.0484309[/C][C]0.0968618[/C][C]0.951569[/C][/ROW]
[ROW][C]75[/C][C]0.0444581[/C][C]0.0889161[/C][C]0.955542[/C][/ROW]
[ROW][C]76[/C][C]0.0418656[/C][C]0.0837312[/C][C]0.958134[/C][/ROW]
[ROW][C]77[/C][C]0.0381312[/C][C]0.0762623[/C][C]0.961869[/C][/ROW]
[ROW][C]78[/C][C]0.0362451[/C][C]0.0724901[/C][C]0.963755[/C][/ROW]
[ROW][C]79[/C][C]0.0301[/C][C]0.0602001[/C][C]0.9699[/C][/ROW]
[ROW][C]80[/C][C]0.0427714[/C][C]0.0855428[/C][C]0.957229[/C][/ROW]
[ROW][C]81[/C][C]0.0368706[/C][C]0.0737413[/C][C]0.963129[/C][/ROW]
[ROW][C]82[/C][C]0.0397733[/C][C]0.0795465[/C][C]0.960227[/C][/ROW]
[ROW][C]83[/C][C]0.0340309[/C][C]0.0680618[/C][C]0.965969[/C][/ROW]
[ROW][C]84[/C][C]0.0952959[/C][C]0.190592[/C][C]0.904704[/C][/ROW]
[ROW][C]85[/C][C]0.0908261[/C][C]0.181652[/C][C]0.909174[/C][/ROW]
[ROW][C]86[/C][C]0.0824666[/C][C]0.164933[/C][C]0.917533[/C][/ROW]
[ROW][C]87[/C][C]0.0719891[/C][C]0.143978[/C][C]0.928011[/C][/ROW]
[ROW][C]88[/C][C]0.0626056[/C][C]0.125211[/C][C]0.937394[/C][/ROW]
[ROW][C]89[/C][C]0.0654186[/C][C]0.130837[/C][C]0.934581[/C][/ROW]
[ROW][C]90[/C][C]0.0667891[/C][C]0.133578[/C][C]0.933211[/C][/ROW]
[ROW][C]91[/C][C]0.0692524[/C][C]0.138505[/C][C]0.930748[/C][/ROW]
[ROW][C]92[/C][C]0.128544[/C][C]0.257088[/C][C]0.871456[/C][/ROW]
[ROW][C]93[/C][C]0.147744[/C][C]0.295488[/C][C]0.852256[/C][/ROW]
[ROW][C]94[/C][C]0.147918[/C][C]0.295835[/C][C]0.852082[/C][/ROW]
[ROW][C]95[/C][C]0.160667[/C][C]0.321334[/C][C]0.839333[/C][/ROW]
[ROW][C]96[/C][C]0.174199[/C][C]0.348398[/C][C]0.825801[/C][/ROW]
[ROW][C]97[/C][C]0.258745[/C][C]0.517489[/C][C]0.741255[/C][/ROW]
[ROW][C]98[/C][C]0.245647[/C][C]0.491293[/C][C]0.754353[/C][/ROW]
[ROW][C]99[/C][C]0.272487[/C][C]0.544973[/C][C]0.727513[/C][/ROW]
[ROW][C]100[/C][C]0.326745[/C][C]0.653491[/C][C]0.673255[/C][/ROW]
[ROW][C]101[/C][C]0.301251[/C][C]0.602502[/C][C]0.698749[/C][/ROW]
[ROW][C]102[/C][C]0.293085[/C][C]0.58617[/C][C]0.706915[/C][/ROW]
[ROW][C]103[/C][C]0.29838[/C][C]0.596761[/C][C]0.70162[/C][/ROW]
[ROW][C]104[/C][C]0.329384[/C][C]0.658767[/C][C]0.670616[/C][/ROW]
[ROW][C]105[/C][C]0.354971[/C][C]0.709941[/C][C]0.645029[/C][/ROW]
[ROW][C]106[/C][C]0.396788[/C][C]0.793576[/C][C]0.603212[/C][/ROW]
[ROW][C]107[/C][C]0.434815[/C][C]0.86963[/C][C]0.565185[/C][/ROW]
[ROW][C]108[/C][C]0.667231[/C][C]0.665539[/C][C]0.332769[/C][/ROW]
[ROW][C]109[/C][C]0.736212[/C][C]0.527576[/C][C]0.263788[/C][/ROW]
[ROW][C]110[/C][C]0.759696[/C][C]0.480607[/C][C]0.240304[/C][/ROW]
[ROW][C]111[/C][C]0.758323[/C][C]0.483354[/C][C]0.241677[/C][/ROW]
[ROW][C]112[/C][C]0.746874[/C][C]0.506252[/C][C]0.253126[/C][/ROW]
[ROW][C]113[/C][C]0.853789[/C][C]0.292423[/C][C]0.146211[/C][/ROW]
[ROW][C]114[/C][C]0.853668[/C][C]0.292664[/C][C]0.146332[/C][/ROW]
[ROW][C]115[/C][C]0.933222[/C][C]0.133555[/C][C]0.0667775[/C][/ROW]
[ROW][C]116[/C][C]0.964218[/C][C]0.0715648[/C][C]0.0357824[/C][/ROW]
[ROW][C]117[/C][C]0.966657[/C][C]0.0666863[/C][C]0.0333431[/C][/ROW]
[ROW][C]118[/C][C]0.96958[/C][C]0.0608407[/C][C]0.0304204[/C][/ROW]
[ROW][C]119[/C][C]0.974741[/C][C]0.0505189[/C][C]0.0252595[/C][/ROW]
[ROW][C]120[/C][C]0.985356[/C][C]0.0292886[/C][C]0.0146443[/C][/ROW]
[ROW][C]121[/C][C]0.987953[/C][C]0.0240937[/C][C]0.0120468[/C][/ROW]
[ROW][C]122[/C][C]0.989999[/C][C]0.0200017[/C][C]0.0100008[/C][/ROW]
[ROW][C]123[/C][C]0.994769[/C][C]0.0104624[/C][C]0.00523121[/C][/ROW]
[ROW][C]124[/C][C]0.997685[/C][C]0.00462957[/C][C]0.00231479[/C][/ROW]
[ROW][C]125[/C][C]0.997614[/C][C]0.00477132[/C][C]0.00238566[/C][/ROW]
[ROW][C]126[/C][C]0.997336[/C][C]0.00532811[/C][C]0.00266405[/C][/ROW]
[ROW][C]127[/C][C]0.99787[/C][C]0.00425907[/C][C]0.00212953[/C][/ROW]
[ROW][C]128[/C][C]0.997566[/C][C]0.00486825[/C][C]0.00243412[/C][/ROW]
[ROW][C]129[/C][C]0.998741[/C][C]0.00251821[/C][C]0.0012591[/C][/ROW]
[ROW][C]130[/C][C]0.998782[/C][C]0.00243513[/C][C]0.00121757[/C][/ROW]
[ROW][C]131[/C][C]0.998866[/C][C]0.00226834[/C][C]0.00113417[/C][/ROW]
[ROW][C]132[/C][C]0.99894[/C][C]0.00212089[/C][C]0.00106044[/C][/ROW]
[ROW][C]133[/C][C]0.998987[/C][C]0.00202686[/C][C]0.00101343[/C][/ROW]
[ROW][C]134[/C][C]0.998988[/C][C]0.00202485[/C][C]0.00101243[/C][/ROW]
[ROW][C]135[/C][C]0.998741[/C][C]0.00251826[/C][C]0.00125913[/C][/ROW]
[ROW][C]136[/C][C]0.998434[/C][C]0.00313204[/C][C]0.00156602[/C][/ROW]
[ROW][C]137[/C][C]0.999263[/C][C]0.00147425[/C][C]0.000737126[/C][/ROW]
[ROW][C]138[/C][C]0.999151[/C][C]0.0016988[/C][C]0.000849402[/C][/ROW]
[ROW][C]139[/C][C]0.999318[/C][C]0.00136463[/C][C]0.000682316[/C][/ROW]
[ROW][C]140[/C][C]0.999224[/C][C]0.00155138[/C][C]0.000775689[/C][/ROW]
[ROW][C]141[/C][C]0.998998[/C][C]0.0020041[/C][C]0.00100205[/C][/ROW]
[ROW][C]142[/C][C]0.999526[/C][C]0.000947864[/C][C]0.000473932[/C][/ROW]
[ROW][C]143[/C][C]0.999491[/C][C]0.00101869[/C][C]0.000509344[/C][/ROW]
[ROW][C]144[/C][C]0.999682[/C][C]0.000636339[/C][C]0.00031817[/C][/ROW]
[ROW][C]145[/C][C]0.99968[/C][C]0.000640873[/C][C]0.000320437[/C][/ROW]
[ROW][C]146[/C][C]0.999686[/C][C]0.000628055[/C][C]0.000314027[/C][/ROW]
[ROW][C]147[/C][C]0.999617[/C][C]0.000766138[/C][C]0.000383069[/C][/ROW]
[ROW][C]148[/C][C]0.999546[/C][C]0.000907256[/C][C]0.000453628[/C][/ROW]
[ROW][C]149[/C][C]0.999489[/C][C]0.00102116[/C][C]0.000510582[/C][/ROW]
[ROW][C]150[/C][C]0.999656[/C][C]0.000687796[/C][C]0.000343898[/C][/ROW]
[ROW][C]151[/C][C]0.999924[/C][C]0.000152326[/C][C]7.61632e-05[/C][/ROW]
[ROW][C]152[/C][C]0.999905[/C][C]0.000190653[/C][C]9.53264e-05[/C][/ROW]
[ROW][C]153[/C][C]0.999938[/C][C]0.000123625[/C][C]6.18126e-05[/C][/ROW]
[ROW][C]154[/C][C]0.999936[/C][C]0.000127146[/C][C]6.35728e-05[/C][/ROW]
[ROW][C]155[/C][C]0.999948[/C][C]0.000104029[/C][C]5.20146e-05[/C][/ROW]
[ROW][C]156[/C][C]0.999928[/C][C]0.00014322[/C][C]7.16098e-05[/C][/ROW]
[ROW][C]157[/C][C]0.999926[/C][C]0.000148536[/C][C]7.4268e-05[/C][/ROW]
[ROW][C]158[/C][C]0.999918[/C][C]0.000163343[/C][C]8.16715e-05[/C][/ROW]
[ROW][C]159[/C][C]0.999904[/C][C]0.000191821[/C][C]9.59107e-05[/C][/ROW]
[ROW][C]160[/C][C]0.999877[/C][C]0.000246143[/C][C]0.000123072[/C][/ROW]
[ROW][C]161[/C][C]0.999889[/C][C]0.000221399[/C][C]0.000110699[/C][/ROW]
[ROW][C]162[/C][C]0.99991[/C][C]0.000179691[/C][C]8.98456e-05[/C][/ROW]
[ROW][C]163[/C][C]0.999903[/C][C]0.000194548[/C][C]9.72741e-05[/C][/ROW]
[ROW][C]164[/C][C]0.999994[/C][C]1.296e-05[/C][C]6.48002e-06[/C][/ROW]
[ROW][C]165[/C][C]0.999994[/C][C]1.14093e-05[/C][C]5.70463e-06[/C][/ROW]
[ROW][C]166[/C][C]0.999992[/C][C]1.63029e-05[/C][C]8.15145e-06[/C][/ROW]
[ROW][C]167[/C][C]0.999992[/C][C]1.55447e-05[/C][C]7.77234e-06[/C][/ROW]
[ROW][C]168[/C][C]0.999995[/C][C]9.8495e-06[/C][C]4.92475e-06[/C][/ROW]
[ROW][C]169[/C][C]0.999993[/C][C]1.34586e-05[/C][C]6.7293e-06[/C][/ROW]
[ROW][C]170[/C][C]0.999994[/C][C]1.20811e-05[/C][C]6.04053e-06[/C][/ROW]
[ROW][C]171[/C][C]0.999994[/C][C]1.23625e-05[/C][C]6.18124e-06[/C][/ROW]
[ROW][C]172[/C][C]0.999995[/C][C]9.86582e-06[/C][C]4.93291e-06[/C][/ROW]
[ROW][C]173[/C][C]0.999993[/C][C]1.35576e-05[/C][C]6.77881e-06[/C][/ROW]
[ROW][C]174[/C][C]0.999991[/C][C]1.75443e-05[/C][C]8.77217e-06[/C][/ROW]
[ROW][C]175[/C][C]0.999989[/C][C]2.28582e-05[/C][C]1.14291e-05[/C][/ROW]
[ROW][C]176[/C][C]0.999992[/C][C]1.66842e-05[/C][C]8.3421e-06[/C][/ROW]
[ROW][C]177[/C][C]0.999989[/C][C]2.25374e-05[/C][C]1.12687e-05[/C][/ROW]
[ROW][C]178[/C][C]0.999991[/C][C]1.74678e-05[/C][C]8.7339e-06[/C][/ROW]
[ROW][C]179[/C][C]0.999988[/C][C]2.49651e-05[/C][C]1.24825e-05[/C][/ROW]
[ROW][C]180[/C][C]0.999991[/C][C]1.79964e-05[/C][C]8.99818e-06[/C][/ROW]
[ROW][C]181[/C][C]0.999991[/C][C]1.88317e-05[/C][C]9.41584e-06[/C][/ROW]
[ROW][C]182[/C][C]0.999988[/C][C]2.49121e-05[/C][C]1.24561e-05[/C][/ROW]
[ROW][C]183[/C][C]0.99999[/C][C]2.07493e-05[/C][C]1.03747e-05[/C][/ROW]
[ROW][C]184[/C][C]0.999985[/C][C]3.00424e-05[/C][C]1.50212e-05[/C][/ROW]
[ROW][C]185[/C][C]0.999981[/C][C]3.70594e-05[/C][C]1.85297e-05[/C][/ROW]
[ROW][C]186[/C][C]0.999974[/C][C]5.19418e-05[/C][C]2.59709e-05[/C][/ROW]
[ROW][C]187[/C][C]0.999985[/C][C]3.04082e-05[/C][C]1.52041e-05[/C][/ROW]
[ROW][C]188[/C][C]0.99998[/C][C]3.97858e-05[/C][C]1.98929e-05[/C][/ROW]
[ROW][C]189[/C][C]0.999972[/C][C]5.61156e-05[/C][C]2.80578e-05[/C][/ROW]
[ROW][C]190[/C][C]0.99996[/C][C]7.99971e-05[/C][C]3.99986e-05[/C][/ROW]
[ROW][C]191[/C][C]0.999941[/C][C]0.000117303[/C][C]5.86516e-05[/C][/ROW]
[ROW][C]192[/C][C]0.999928[/C][C]0.000144757[/C][C]7.23787e-05[/C][/ROW]
[ROW][C]193[/C][C]0.999907[/C][C]0.000186665[/C][C]9.33326e-05[/C][/ROW]
[ROW][C]194[/C][C]0.999946[/C][C]0.000107621[/C][C]5.38103e-05[/C][/ROW]
[ROW][C]195[/C][C]0.999926[/C][C]0.000148954[/C][C]7.44771e-05[/C][/ROW]
[ROW][C]196[/C][C]0.999923[/C][C]0.00015342[/C][C]7.67099e-05[/C][/ROW]
[ROW][C]197[/C][C]0.999926[/C][C]0.000148552[/C][C]7.4276e-05[/C][/ROW]
[ROW][C]198[/C][C]0.999896[/C][C]0.000207389[/C][C]0.000103695[/C][/ROW]
[ROW][C]199[/C][C]0.999895[/C][C]0.000209719[/C][C]0.000104859[/C][/ROW]
[ROW][C]200[/C][C]0.999871[/C][C]0.000258495[/C][C]0.000129248[/C][/ROW]
[ROW][C]201[/C][C]0.999846[/C][C]0.000308113[/C][C]0.000154056[/C][/ROW]
[ROW][C]202[/C][C]0.999841[/C][C]0.000317786[/C][C]0.000158893[/C][/ROW]
[ROW][C]203[/C][C]0.999834[/C][C]0.000331957[/C][C]0.000165978[/C][/ROW]
[ROW][C]204[/C][C]0.999767[/C][C]0.000465353[/C][C]0.000232676[/C][/ROW]
[ROW][C]205[/C][C]0.999665[/C][C]0.000669693[/C][C]0.000334846[/C][/ROW]
[ROW][C]206[/C][C]0.999689[/C][C]0.000622655[/C][C]0.000311327[/C][/ROW]
[ROW][C]207[/C][C]0.999567[/C][C]0.000866815[/C][C]0.000433408[/C][/ROW]
[ROW][C]208[/C][C]0.999544[/C][C]0.000911998[/C][C]0.000455999[/C][/ROW]
[ROW][C]209[/C][C]0.99954[/C][C]0.000920432[/C][C]0.000460216[/C][/ROW]
[ROW][C]210[/C][C]0.999555[/C][C]0.000890012[/C][C]0.000445006[/C][/ROW]
[ROW][C]211[/C][C]0.999381[/C][C]0.00123894[/C][C]0.00061947[/C][/ROW]
[ROW][C]212[/C][C]0.999147[/C][C]0.00170549[/C][C]0.000852747[/C][/ROW]
[ROW][C]213[/C][C]0.999401[/C][C]0.00119839[/C][C]0.000599194[/C][/ROW]
[ROW][C]214[/C][C]0.999141[/C][C]0.00171798[/C][C]0.000858992[/C][/ROW]
[ROW][C]215[/C][C]0.99908[/C][C]0.00183901[/C][C]0.000919506[/C][/ROW]
[ROW][C]216[/C][C]0.998682[/C][C]0.00263527[/C][C]0.00131763[/C][/ROW]
[ROW][C]217[/C][C]0.998772[/C][C]0.00245669[/C][C]0.00122835[/C][/ROW]
[ROW][C]218[/C][C]0.998626[/C][C]0.00274861[/C][C]0.00137431[/C][/ROW]
[ROW][C]219[/C][C]0.998022[/C][C]0.00395682[/C][C]0.00197841[/C][/ROW]
[ROW][C]220[/C][C]0.997228[/C][C]0.00554481[/C][C]0.00277241[/C][/ROW]
[ROW][C]221[/C][C]0.996894[/C][C]0.0062117[/C][C]0.00310585[/C][/ROW]
[ROW][C]222[/C][C]0.997971[/C][C]0.0040572[/C][C]0.0020286[/C][/ROW]
[ROW][C]223[/C][C]0.997091[/C][C]0.00581849[/C][C]0.00290924[/C][/ROW]
[ROW][C]224[/C][C]0.997371[/C][C]0.00525702[/C][C]0.00262851[/C][/ROW]
[ROW][C]225[/C][C]0.996975[/C][C]0.00605018[/C][C]0.00302509[/C][/ROW]
[ROW][C]226[/C][C]0.997766[/C][C]0.00446821[/C][C]0.0022341[/C][/ROW]
[ROW][C]227[/C][C]0.997841[/C][C]0.00431706[/C][C]0.00215853[/C][/ROW]
[ROW][C]228[/C][C]0.998663[/C][C]0.00267432[/C][C]0.00133716[/C][/ROW]
[ROW][C]229[/C][C]0.998499[/C][C]0.00300294[/C][C]0.00150147[/C][/ROW]
[ROW][C]230[/C][C]0.998614[/C][C]0.0027724[/C][C]0.0013862[/C][/ROW]
[ROW][C]231[/C][C]0.998895[/C][C]0.00220936[/C][C]0.00110468[/C][/ROW]
[ROW][C]232[/C][C]0.998406[/C][C]0.00318845[/C][C]0.00159423[/C][/ROW]
[ROW][C]233[/C][C]0.997916[/C][C]0.00416888[/C][C]0.00208444[/C][/ROW]
[ROW][C]234[/C][C]0.997255[/C][C]0.00549059[/C][C]0.0027453[/C][/ROW]
[ROW][C]235[/C][C]0.996608[/C][C]0.00678457[/C][C]0.00339229[/C][/ROW]
[ROW][C]236[/C][C]0.999205[/C][C]0.00158952[/C][C]0.000794759[/C][/ROW]
[ROW][C]237[/C][C]0.998866[/C][C]0.00226713[/C][C]0.00113357[/C][/ROW]
[ROW][C]238[/C][C]0.998468[/C][C]0.00306314[/C][C]0.00153157[/C][/ROW]
[ROW][C]239[/C][C]0.9976[/C][C]0.00479938[/C][C]0.00239969[/C][/ROW]
[ROW][C]240[/C][C]0.996345[/C][C]0.00730931[/C][C]0.00365465[/C][/ROW]
[ROW][C]241[/C][C]0.995409[/C][C]0.00918217[/C][C]0.00459108[/C][/ROW]
[ROW][C]242[/C][C]0.993732[/C][C]0.0125358[/C][C]0.0062679[/C][/ROW]
[ROW][C]243[/C][C]0.993202[/C][C]0.0135957[/C][C]0.00679784[/C][/ROW]
[ROW][C]244[/C][C]0.990943[/C][C]0.0181133[/C][C]0.00905663[/C][/ROW]
[ROW][C]245[/C][C]0.986374[/C][C]0.0272529[/C][C]0.0136265[/C][/ROW]
[ROW][C]246[/C][C]0.980098[/C][C]0.0398034[/C][C]0.0199017[/C][/ROW]
[ROW][C]247[/C][C]0.973133[/C][C]0.0537331[/C][C]0.0268666[/C][/ROW]
[ROW][C]248[/C][C]0.965264[/C][C]0.0694717[/C][C]0.0347359[/C][/ROW]
[ROW][C]249[/C][C]0.951905[/C][C]0.0961898[/C][C]0.0480949[/C][/ROW]
[ROW][C]250[/C][C]0.933773[/C][C]0.132454[/C][C]0.0662271[/C][/ROW]
[ROW][C]251[/C][C]0.911429[/C][C]0.177141[/C][C]0.0885706[/C][/ROW]
[ROW][C]252[/C][C]0.915712[/C][C]0.168576[/C][C]0.0842879[/C][/ROW]
[ROW][C]253[/C][C]0.890515[/C][C]0.21897[/C][C]0.109485[/C][/ROW]
[ROW][C]254[/C][C]0.854887[/C][C]0.290225[/C][C]0.145113[/C][/ROW]
[ROW][C]255[/C][C]0.83896[/C][C]0.32208[/C][C]0.16104[/C][/ROW]
[ROW][C]256[/C][C]0.792076[/C][C]0.415849[/C][C]0.207924[/C][/ROW]
[ROW][C]257[/C][C]0.781039[/C][C]0.437922[/C][C]0.218961[/C][/ROW]
[ROW][C]258[/C][C]0.940982[/C][C]0.118037[/C][C]0.0590185[/C][/ROW]
[ROW][C]259[/C][C]0.954366[/C][C]0.0912672[/C][C]0.0456336[/C][/ROW]
[ROW][C]260[/C][C]0.998193[/C][C]0.00361353[/C][C]0.00180677[/C][/ROW]
[ROW][C]261[/C][C]0.996931[/C][C]0.00613783[/C][C]0.00306891[/C][/ROW]
[ROW][C]262[/C][C]0.997457[/C][C]0.00508546[/C][C]0.00254273[/C][/ROW]
[ROW][C]263[/C][C]0.999898[/C][C]0.000203628[/C][C]0.000101814[/C][/ROW]
[ROW][C]264[/C][C]0.999673[/C][C]0.000654725[/C][C]0.000327362[/C][/ROW]
[ROW][C]265[/C][C]0.999482[/C][C]0.00103646[/C][C]0.000518228[/C][/ROW]
[ROW][C]266[/C][C]0.99904[/C][C]0.00191984[/C][C]0.000959921[/C][/ROW]
[ROW][C]267[/C][C]0.999106[/C][C]0.00178858[/C][C]0.000894288[/C][/ROW]
[ROW][C]268[/C][C]0.996886[/C][C]0.00622756[/C][C]0.00311378[/C][/ROW]
[ROW][C]269[/C][C]0.993064[/C][C]0.0138724[/C][C]0.00693621[/C][/ROW]
[ROW][C]270[/C][C]0.97008[/C][C]0.0598403[/C][C]0.0299202[/C][/ROW]
[ROW][C]271[/C][C]0.922938[/C][C]0.154124[/C][C]0.0770621[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=269024&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=269024&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
80.6774360.6451270.322564
90.5362940.9274120.463706
100.4356520.8713040.564348
110.310990.621980.68901
120.3153180.6306360.684682
130.2594230.5188460.740577
140.2006120.4012230.799388
150.175830.351660.82417
160.1434520.2869030.856548
170.1056990.2113990.894301
180.08879270.1775850.911207
190.06854520.137090.931455
200.04561580.09123160.954384
210.03737080.07474150.962629
220.07297460.1459490.927025
230.06525940.1305190.934741
240.05819220.1163840.941808
250.04431480.08862960.955685
260.05577020.111540.94423
270.0693610.1387220.930639
280.07466380.1493280.925336
290.06251280.1250260.937487
300.05039030.1007810.94961
310.03837250.07674510.961627
320.02766370.05532740.972336
330.02062440.04124880.979376
340.01939810.03879620.980602
350.01764510.03529010.982355
360.01544510.03089020.984555
370.0137260.02745210.986274
380.02175640.04351280.978244
390.02010520.04021030.979895
400.01509610.03019230.984904
410.02075850.0415170.979241
420.01651750.03303490.983483
430.01452690.02905390.985473
440.01155570.02311140.988444
450.0176270.03525410.982373
460.01476340.02952670.985237
470.01125890.02251770.988741
480.01170140.02340290.988299
490.009030340.01806070.99097
500.01250110.02500220.987499
510.00995380.01990760.990046
520.01007810.02015620.989922
530.008129140.01625830.991871
540.006671780.01334360.993328
550.007435470.01487090.992565
560.005796390.01159280.994204
570.01544850.03089690.984552
580.02356430.04712850.976436
590.01829440.03658870.981706
600.01697680.03395370.983023
610.02533390.05066790.974666
620.02396420.04792840.976036
630.02805910.05611830.971941
640.03346740.06693470.966533
650.04097280.08194570.959027
660.03372220.06744430.966278
670.03486530.06973060.965135
680.03981690.07963380.960183
690.0557160.1114320.944284
700.05219210.1043840.947808
710.0499230.0998460.950077
720.04295650.08591310.957043
730.04108290.08216580.958917
740.04843090.09686180.951569
750.04445810.08891610.955542
760.04186560.08373120.958134
770.03813120.07626230.961869
780.03624510.07249010.963755
790.03010.06020010.9699
800.04277140.08554280.957229
810.03687060.07374130.963129
820.03977330.07954650.960227
830.03403090.06806180.965969
840.09529590.1905920.904704
850.09082610.1816520.909174
860.08246660.1649330.917533
870.07198910.1439780.928011
880.06260560.1252110.937394
890.06541860.1308370.934581
900.06678910.1335780.933211
910.06925240.1385050.930748
920.1285440.2570880.871456
930.1477440.2954880.852256
940.1479180.2958350.852082
950.1606670.3213340.839333
960.1741990.3483980.825801
970.2587450.5174890.741255
980.2456470.4912930.754353
990.2724870.5449730.727513
1000.3267450.6534910.673255
1010.3012510.6025020.698749
1020.2930850.586170.706915
1030.298380.5967610.70162
1040.3293840.6587670.670616
1050.3549710.7099410.645029
1060.3967880.7935760.603212
1070.4348150.869630.565185
1080.6672310.6655390.332769
1090.7362120.5275760.263788
1100.7596960.4806070.240304
1110.7583230.4833540.241677
1120.7468740.5062520.253126
1130.8537890.2924230.146211
1140.8536680.2926640.146332
1150.9332220.1335550.0667775
1160.9642180.07156480.0357824
1170.9666570.06668630.0333431
1180.969580.06084070.0304204
1190.9747410.05051890.0252595
1200.9853560.02928860.0146443
1210.9879530.02409370.0120468
1220.9899990.02000170.0100008
1230.9947690.01046240.00523121
1240.9976850.004629570.00231479
1250.9976140.004771320.00238566
1260.9973360.005328110.00266405
1270.997870.004259070.00212953
1280.9975660.004868250.00243412
1290.9987410.002518210.0012591
1300.9987820.002435130.00121757
1310.9988660.002268340.00113417
1320.998940.002120890.00106044
1330.9989870.002026860.00101343
1340.9989880.002024850.00101243
1350.9987410.002518260.00125913
1360.9984340.003132040.00156602
1370.9992630.001474250.000737126
1380.9991510.00169880.000849402
1390.9993180.001364630.000682316
1400.9992240.001551380.000775689
1410.9989980.00200410.00100205
1420.9995260.0009478640.000473932
1430.9994910.001018690.000509344
1440.9996820.0006363390.00031817
1450.999680.0006408730.000320437
1460.9996860.0006280550.000314027
1470.9996170.0007661380.000383069
1480.9995460.0009072560.000453628
1490.9994890.001021160.000510582
1500.9996560.0006877960.000343898
1510.9999240.0001523267.61632e-05
1520.9999050.0001906539.53264e-05
1530.9999380.0001236256.18126e-05
1540.9999360.0001271466.35728e-05
1550.9999480.0001040295.20146e-05
1560.9999280.000143227.16098e-05
1570.9999260.0001485367.4268e-05
1580.9999180.0001633438.16715e-05
1590.9999040.0001918219.59107e-05
1600.9998770.0002461430.000123072
1610.9998890.0002213990.000110699
1620.999910.0001796918.98456e-05
1630.9999030.0001945489.72741e-05
1640.9999941.296e-056.48002e-06
1650.9999941.14093e-055.70463e-06
1660.9999921.63029e-058.15145e-06
1670.9999921.55447e-057.77234e-06
1680.9999959.8495e-064.92475e-06
1690.9999931.34586e-056.7293e-06
1700.9999941.20811e-056.04053e-06
1710.9999941.23625e-056.18124e-06
1720.9999959.86582e-064.93291e-06
1730.9999931.35576e-056.77881e-06
1740.9999911.75443e-058.77217e-06
1750.9999892.28582e-051.14291e-05
1760.9999921.66842e-058.3421e-06
1770.9999892.25374e-051.12687e-05
1780.9999911.74678e-058.7339e-06
1790.9999882.49651e-051.24825e-05
1800.9999911.79964e-058.99818e-06
1810.9999911.88317e-059.41584e-06
1820.9999882.49121e-051.24561e-05
1830.999992.07493e-051.03747e-05
1840.9999853.00424e-051.50212e-05
1850.9999813.70594e-051.85297e-05
1860.9999745.19418e-052.59709e-05
1870.9999853.04082e-051.52041e-05
1880.999983.97858e-051.98929e-05
1890.9999725.61156e-052.80578e-05
1900.999967.99971e-053.99986e-05
1910.9999410.0001173035.86516e-05
1920.9999280.0001447577.23787e-05
1930.9999070.0001866659.33326e-05
1940.9999460.0001076215.38103e-05
1950.9999260.0001489547.44771e-05
1960.9999230.000153427.67099e-05
1970.9999260.0001485527.4276e-05
1980.9998960.0002073890.000103695
1990.9998950.0002097190.000104859
2000.9998710.0002584950.000129248
2010.9998460.0003081130.000154056
2020.9998410.0003177860.000158893
2030.9998340.0003319570.000165978
2040.9997670.0004653530.000232676
2050.9996650.0006696930.000334846
2060.9996890.0006226550.000311327
2070.9995670.0008668150.000433408
2080.9995440.0009119980.000455999
2090.999540.0009204320.000460216
2100.9995550.0008900120.000445006
2110.9993810.001238940.00061947
2120.9991470.001705490.000852747
2130.9994010.001198390.000599194
2140.9991410.001717980.000858992
2150.999080.001839010.000919506
2160.9986820.002635270.00131763
2170.9987720.002456690.00122835
2180.9986260.002748610.00137431
2190.9980220.003956820.00197841
2200.9972280.005544810.00277241
2210.9968940.00621170.00310585
2220.9979710.00405720.0020286
2230.9970910.005818490.00290924
2240.9973710.005257020.00262851
2250.9969750.006050180.00302509
2260.9977660.004468210.0022341
2270.9978410.004317060.00215853
2280.9986630.002674320.00133716
2290.9984990.003002940.00150147
2300.9986140.00277240.0013862
2310.9988950.002209360.00110468
2320.9984060.003188450.00159423
2330.9979160.004168880.00208444
2340.9972550.005490590.0027453
2350.9966080.006784570.00339229
2360.9992050.001589520.000794759
2370.9988660.002267130.00113357
2380.9984680.003063140.00153157
2390.99760.004799380.00239969
2400.9963450.007309310.00365465
2410.9954090.009182170.00459108
2420.9937320.01253580.0062679
2430.9932020.01359570.00679784
2440.9909430.01811330.00905663
2450.9863740.02725290.0136265
2460.9800980.03980340.0199017
2470.9731330.05373310.0268666
2480.9652640.06947170.0347359
2490.9519050.09618980.0480949
2500.9337730.1324540.0662271
2510.9114290.1771410.0885706
2520.9157120.1685760.0842879
2530.8905150.218970.109485
2540.8548870.2902250.145113
2550.838960.322080.16104
2560.7920760.4158490.207924
2570.7810390.4379220.218961
2580.9409820.1180370.0590185
2590.9543660.09126720.0456336
2600.9981930.003613530.00180677
2610.9969310.006137830.00306891
2620.9974570.005085460.00254273
2630.9998980.0002036280.000101814
2640.9996730.0006547250.000327362
2650.9994820.001036460.000518228
2660.999040.001919840.000959921
2670.9991060.001788580.000894288
2680.9968860.006227560.00311378
2690.9930640.01387240.00693621
2700.970080.05984030.0299202
2710.9229380.1541240.0770621






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level1270.481061NOK
5% type I error level1660.628788NOK
10% type I error level2000.757576NOK

\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 & 127 & 0.481061 & NOK \tabularnewline
5% type I error level & 166 & 0.628788 & NOK \tabularnewline
10% type I error level & 200 & 0.757576 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=269024&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]127[/C][C]0.481061[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]166[/C][C]0.628788[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]200[/C][C]0.757576[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=269024&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=269024&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 level1270.481061NOK
5% type I error level1660.628788NOK
10% type I error level2000.757576NOK


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')
}