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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 computationSat, 13 Dec 2014 11:30:31 +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/13/t1418470262ieutop154adso7d.htm/, Retrieved Thu, 16 May 2024 13:49:05 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=266996, Retrieved Thu, 16 May 2024 13:49:05 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact71

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Multiple Regression] [Multiple Regressi...] [2014-12-13 11:30:31] [56a3e0974002d1c8d48b4dd203e70051] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
2.1 149 96 18 68
2 139 70 31 39
2 148 88 39 32
2.1 158 114 46 62
2 128 69 31 33
2.3 224 176 67 52
2.1 159 114 35 62
2.1 105 121 52 77
2.2 159 110 77 76
2.1 167 158 37 41
2.1 165 116 32 48
2.1 159 181 36 63
2 119 77 38 30
2.3 176 141 69 78
1.8 54 35 21 19
2 91 80 26 31
2.2 163 152 54 66
2 124 97 36 35
2.1 137 99 42 42
2 121 84 23 45
1.8 153 68 34 21
2.2 148 101 112 25
2.2 221 107 35 44
1.7 188 88 47 69
2.1 149 112 47 54
2.3 244 171 37 74
2.7 148 137 109 80
1.9 92 77 24 42
2 150 66 20 61
2 153 93 22 41
1.9 94 105 23 46
2 156 131 32 39
2 132 102 30 34
2.1 161 161 92 51
2 105 120 43 42
1.8 97 127 55 31
2 151 77 16 39
2.2 131 108 49 20
2.2 166 85 71 49
2.1 157 168 43 53
1.8 111 48 29 31
1.9 145 152 56 39
2.1 162 75 46 54
2 163 107 19 49
1.9 59 62 23 34
2.2 187 121 59 46
2 109 124 30 55
2 90 72 61 42
1.7 105 40 7 50
2 83 58 38 13
2.2 116 97 32 37
1.7 42 88 16 25
2 148 126 19 30
2.2 155 104 22 28
2 125 148 48 45
1.9 116 146 23 35
2 128 80 26 28
2 138 97 33 41
1.6 49 25 9 6
2.1 96 99 24 45
2.1 164 118 34 73
2 162 58 48 17
1.9 99 63 18 40
2.2 202 139 43 64
2.1 186 50 33 37
1.8 66 60 28 25
2.3 183 152 71 65
2.3 214 142 26 100
2.2 188 94 67 28
2.1 104 66 34 35
2.2 177 127 80 56
1.9 126 67 29 29
1.8 76 90 16 43
2.1 99 75 59 59
2 139 128 32 50
2.1 162 146 43 59
2.1 108 69 38 27
2.1 159 186 29 61
1.8 74 81 36 28
2 110 85 32 51
2.1 96 54 35 35
1.9 116 46 21 29
2.1 87 106 29 48
1 97 34 12 25
2.2 127 60 37 44
2.1 106 95 37 64
1.9 80 57 47 32
2 74 62 51 20
1.9 91 36 32 28
2 133 56 21 34
1.8 74 54 13 31
2 114 64 14 26
2 140 76 -2 58
2 95 98 20 23
1.8 98 88 24 21
2 121 35 11 21
1.1 126 102 23 33
1.8 98 61 24 16
1.8 95 80 14 20
2 110 49 52 37
1.9 70 78 15 35
2.1 102 90 23 33
1.6 86 45 19 27
2.2 130 55 35 41
1.9 96 96 24 40
2 102 43 39 35
2.1 100 52 29 28
1.3 94 60 13 32
1.8 52 54 8 22
1.9 98 51 18 44
2.1 118 51 24 27
1.8 99 38 19 17
0.75 48 41 23 12
1.5 50 146 16 45
3 150 182 33 37
2.25 154 192 32 37
3 109 263 37 108
1.5 68 35 14 10
3 194 439 52 68
3 158 214 75 72
3 159 341 72 143
0.75 67 58 15 9
3 147 292 29 55
2.25 39 85 13 17
1.5 100 200 40 37
1.5 111 158 19 27
2.25 138 199 24 37
3 101 297 121 58
3 131 227 93 66
1.5 101 108 36 21
2.25 114 86 23 19
2.25 165 302 85 78
1.5 114 148 41 35
2.25 111 178 46 48
1.5 75 120 18 27
2.25 82 207 35 43
2.25 121 157 17 30
3 32 128 4 25
3 150 296 28 69
3 117 323 44 72
1.5 71 79 10 23
3 165 70 38 13
3 154 146 57 61
2.25 126 246 23 43
2.25 149 196 36 51
2.25 145 199 22 67
3 120 127 40 36
2.25 109 153 31 44
3 132 299 11 45
3 172 228 38 34
1.5 169 190 24 36
2.25 114 180 37 72
3 156 212 37 39
2.25 172 269 22 43
1.5 68 130 15 25
2.25 89 179 2 56
2.25 167 243 43 80
1.5 113 190 31 40
2.25 115 299 29 73
1.5 78 121 45 34
2.25 118 137 25 72
3 87 305 4 42
3 173 157 31 61
3 2 96 -4 23
3 162 183 66 74
1.5 49 52 61 16
2.25 122 238 32 66
1.5 96 40 31 9
2.25 100 226 39 41
2.25 82 190 19 57
2.25 100 214 31 48
3 115 145 36 51
1.5 141 119 42 53
2.25 165 222 21 29
2.25 165 222 21 29
3 110 159 25 55
2.25 118 165 32 54
3 158 249 26 43
2.25 146 125 28 51
1.5 49 122 32 20
3 90 186 41 79
1.5 121 148 29 39
3 155 274 33 61
3 104 172 17 55
3 147 84 13 30
3 110 168 32 55
2.25 108 102 30 22
2.25 113 106 34 37
0.75 115 2 59 2
3 61 139 13 38
0.75 60 95 23 27
1.5 109 130 10 56
1.5 68 72 5 25
3 111 141 31 39
1.5 77 113 19 33
2.25 73 206 32 43
3 151 268 30 57
3 89 175 25 43
1.5 78 77 48 23
3 110 125 35 44
3 220 255 67 54
1.5 65 111 15 28
1.5 141 132 22 36
2.25 117 211 18 39
1.5 122 92 33 16
1.5 63 76 46 23
2.25 44 171 24 40
1.5 52 83 14 24
3 131 266 12 78
3 101 186 38 57
0.75 42 50 12 37
1.5 152 117 28 27
1.5 107 219 41 61
2.25 77 246 12 27
2.25 154 279 31 69
1.5 103 148 33 34
2.25 96 137 34 44
2.25 175 181 21 34
0.75 57 98 20 39
2.25 112 226 44 51
3 143 234 52 34
0.75 49 138 7 31
0.75 110 85 29 13
3 131 66 11 12
3 167 236 26 51
3 56 106 24 24
3 137 135 7 19
1.5 86 122 60 30
3 121 218 13 81
3 149 199 20 42
3 168 112 52 22
3 140 278 28 85
1.5 88 94 25 27
2.25 168 113 39 25
0.75 94 84 9 22
0.75 51 86 19 19
2.25 48 62 13 14
3 145 222 60 45
2.25 66 167 19 45
3 85 82 34 28
2.25 109 207 14 51
3 63 184 17 41
1.5 102 83 45 31
3 162 183 66 74
0.75 86 89 48 19
1.5 114 225 29 51
3 164 237 -2 73
3 119 102 51 24
3 126 221 2 61
2.25 132 128 24 23
2.25 142 91 40 14
3 83 198 20 54
1.5 94 204 19 51
2.25 81 158 16 62
2.25 166 138 20 36
2.25 110 226 40 59
0.75 64 44 27 24
2.25 93 196 25 26
1.5 104 83 49 54
2.25 105 79 39 39
1.5 49 52 61 16
0.75 88 105 19 36
1.5 95 116 67 31
1.5 102 83 45 31
2.25 99 196 30 42
1.5 63 153 8 39
1.5 76 157 19 25
3 109 75 52 31
2.25 117 106 22 38
1.5 57 58 17 31
0.75 120 75 33 17
2.25 73 74 34 22
3 91 185 22 55
3 108 265 30 62
1.5 105 131 25 51
1.5 117 139 38 30
2.25 119 196 26 49
0.75 31 78 13 16

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time8 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 8 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266996&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]8 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266996&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266996&T=0

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


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time8 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.wessa.net






Multiple Linear Regression - Estimated Regression Equation
PE[t] = + 1.1789 + 0.00266713LFM[t] + 0.00329848Blogs[t] + 0.000283572PRH[t] + 0.004003CH[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
PE[t] =  +  1.1789 +  0.00266713LFM[t] +  0.00329848Blogs[t] +  0.000283572PRH[t] +  0.004003CH[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266996&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]PE[t] =  +  1.1789 +  0.00266713LFM[t] +  0.00329848Blogs[t] +  0.000283572PRH[t] +  0.004003CH[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266996&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266996&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
PE[t] = + 1.1789 + 0.00266713LFM[t] + 0.00329848Blogs[t] + 0.000283572PRH[t] + 0.004003CH[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)1.17890.097140812.142.14267e-271.07134e-27
LFM0.002667130.0008602033.1010.002133540.00106677
Blogs0.003298480.0005204776.3379.61295e-104.80648e-10
PRH0.0002835720.00168760.1680.8666820.433341
CH0.0040030.002048511.9540.051710.025855

\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) & 1.1789 & 0.0971408 & 12.14 & 2.14267e-27 & 1.07134e-27 \tabularnewline
LFM & 0.00266713 & 0.000860203 & 3.101 & 0.00213354 & 0.00106677 \tabularnewline
Blogs & 0.00329848 & 0.000520477 & 6.337 & 9.61295e-10 & 4.80648e-10 \tabularnewline
PRH & 0.000283572 & 0.0016876 & 0.168 & 0.866682 & 0.433341 \tabularnewline
CH & 0.004003 & 0.00204851 & 1.954 & 0.05171 & 0.025855 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266996&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]1.1789[/C][C]0.0971408[/C][C]12.14[/C][C]2.14267e-27[/C][C]1.07134e-27[/C][/ROW]
[ROW][C]LFM[/C][C]0.00266713[/C][C]0.000860203[/C][C]3.101[/C][C]0.00213354[/C][C]0.00106677[/C][/ROW]
[ROW][C]Blogs[/C][C]0.00329848[/C][C]0.000520477[/C][C]6.337[/C][C]9.61295e-10[/C][C]4.80648e-10[/C][/ROW]
[ROW][C]PRH[/C][C]0.000283572[/C][C]0.0016876[/C][C]0.168[/C][C]0.866682[/C][C]0.433341[/C][/ROW]
[ROW][C]CH[/C][C]0.004003[/C][C]0.00204851[/C][C]1.954[/C][C]0.05171[/C][C]0.025855[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266996&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266996&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)1.17890.097140812.142.14267e-271.07134e-27
LFM0.002667130.0008602033.1010.002133540.00106677
Blogs0.003298480.0005204776.3379.61295e-104.80648e-10
PRH0.0002835720.00168760.1680.8666820.433341
CH0.0040030.002048511.9540.051710.025855






Multiple Linear Regression - Regression Statistics
Multiple R0.579508
R-squared0.335829
Adjusted R-squared0.326098
F-TEST (value)34.5097
F-TEST (DF numerator)4
F-TEST (DF denominator)273
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.48496
Sum Squared Residuals64.2058

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.579508 \tabularnewline
R-squared & 0.335829 \tabularnewline
Adjusted R-squared & 0.326098 \tabularnewline
F-TEST (value) & 34.5097 \tabularnewline
F-TEST (DF numerator) & 4 \tabularnewline
F-TEST (DF denominator) & 273 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 0.48496 \tabularnewline
Sum Squared Residuals & 64.2058 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266996&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.579508[/C][/ROW]
[ROW][C]R-squared[/C][C]0.335829[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.326098[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]34.5097[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]4[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]273[/C][/ROW]
[ROW][C]p-value[/C][C]0[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]0.48496[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]64.2058[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266996&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266996&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 R0.579508
R-squared0.335829
Adjusted R-squared0.326098
F-TEST (value)34.5097
F-TEST (DF numerator)4
F-TEST (DF denominator)273
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.48496
Sum Squared Residuals64.2058






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
12.12.17027-0.0702682
221.945440.0545641
322.00306-0.00306025
42.12.23757-0.137567
521.888780.111219
62.32.58403-0.284028
72.12.23711-0.137115
82.12.18105-0.081045
92.22.29187-0.0918729
102.12.32009-0.220089
112.12.20282-0.102822
122.12.4624-0.362399
1321.881140.118859
142.32.4452-0.145204
151.81.520390.279612
1621.816960.183043
172.22.39453-0.194525
1821.979890.0201062
192.12.050890.0491142
2021.965360.0346442
211.81.90498-0.104975
222.22.038620.16138
232.22.30733-0.107333
241.72.26012-0.560125
252.12.17523-0.0752254
262.32.70044-0.400437
272.72.376680.32332
281.91.853190.0468057
2922.04653-0.0465271
3022.06409-0.0640945
311.91.96661-0.0666144
3222.19227-0.192268
3322.01202-0.0120188
342.12.36961-0.269608
3522.03509-0.0350894
361.81.99621-0.196212
3721.996280.00372281
382.21.978490.221512
392.22.11830.0817016
402.12.37614-0.27614
411.81.76560.0344013
421.92.239-0.339003
432.12.087570.0124292
4422.16812-0.168118
451.91.683390.216606
462.22.27764-0.0776414
4722.1073-0.107304
4821.841860.15814
491.71.79303-0.0930265
5021.65440.345598
512.21.965430.234571
521.71.68580.0141983
5322.11473-0.114725
542.22.053670.146327
5522.19422-0.194216
561.92.1165-0.216496
5721.903630.0963685
5822.0404-0.0404009
591.61.418630.181375
602.11.948440.151562
612.12.30739-0.207394
6221.883950.116047
631.91.815980.0840219
642.22.44454-0.244538
652.11.997380.102618
661.81.660860.139142
672.32.44869-0.148686
682.32.62573-0.325726
692.22.121460.0785358
702.11.823730.276269
712.22.31675-0.116746
721.91.860270.0397293
731.81.85513-0.055135
742.11.943240.156757
7522.18106-0.181064
762.12.34093-0.240927
772.11.813410.286594
782.12.4689-0.368901
791.81.765740.0342592
8021.965890.034114
812.11.76310.336904
821.91.762060.137937
832.11.960950.13905
8411.65324-0.653242
852.21.902160.297838
862.12.041660.0583409
871.91.721710.178289
8821.67530.324701
891.91.661520.238484
9021.86040.139596
911.81.682170.117831
9221.802110.197893
9322.03459-0.034593
9421.853270.146728
951.81.82142-0.0214174
9621.704260.295745
971.11.99003-0.890028
981.81.712340.0876566
991.81.780190.0198106
10021.796770.20323
1011.91.767240.132757
1022.11.886440.213565
1031.61.67018-0.0701774
1042.21.881090.318905
1051.91.91853-0.0185279
10621.743950.25605
1072.11.737450.362555
1081.31.75931-0.459305
1091.81.586050.213953
1101.91.789740.110259
1112.11.776730.323266
1121.81.641730.158269
1130.751.49672-0.746722
1141.51.97851-0.478511
11532.336770.663235
1162.252.38013-0.130135
11732.779940.220063
1181.51.51972-0.0197155
11933.43131-0.431309
12032.615670.384332
12133.3206-0.320605
1220.751.58919-0.839194
12332.762520.237484
1242.251.635030.61497
1251.52.26477-0.764766
1261.52.10958-0.609584
1272.252.35828-0.108282
12832.694420.305582
12932.567620.432377
1301.51.89879-0.398791
1312.251.84920.400795
1322.252.95146-0.701458
1331.52.12286-0.622863
1342.252.26727-0.0172727
1351.51.88794-0.387941
1362.252.26245-0.0124476
1372.252.14440.105602
13831.787671.21233
13932.839470.16053
14032.857060.14294
1411.51.72375-0.223755
14231.912691.08731
14332.331570.668434
1442.252.50504-0.255039
1452.252.43717-0.187169
1462.252.49647-0.246474
14732.073320.926683
1482.252.159210.0907891
14932.700460.299536
15032.536580.463419
1511.52.40727-0.907273
1522.252.37539-0.125391
15332.460860.539137
1542.252.70331-0.453308
1551.51.8934-0.3934
1562.252.231440.0185588
1572.252.75828-0.508278
1581.52.27591-0.775911
1592.252.77231-0.522311
1601.51.93492-0.434919
1612.252.240820.0091781
16232.586240.413759
16332.411150.588848
16431.591831.40817
16532.529540.470462
1661.51.56246-0.0624601
1672.252.5626-0.312604
1681.51.61171-0.111705
1692.252.36626-0.116255
1702.252.25788-0.00787833
1712.252.35243-0.102426
17232.178260.821735
1731.52.17156-0.671557
1742.252.47328-0.223284
1752.252.47328-0.223284
17632.2240.776
1772.252.26311-0.0131103
17832.601130.398867
1792.252.192710.0572926
1801.51.80114-0.301142
18132.360330.639674
1821.52.15414-0.654142
18332.749630.250367
18432.248610.751391
18531.971821.02818
18632.255670.744328
1872.251.899970.350028
1882.251.987680.262319
1890.751.51696-0.766957
19031.955891.04411
1910.751.76689-1.01689
1921.52.12543-0.625427
1931.51.69925-0.199252
19432.104950.895052
1951.51.89449-0.394488
1962.252.234290.0157057
19732.702310.297689
19832.172730.82727
1991.51.7466-0.246603
20032.070650.929345
20132.841950.158055
2021.51.83474-0.334736
2031.52.14071-0.640715
2042.252.34816-0.0981583
2051.51.88116-0.381159
2061.51.70273-0.202731
2072.252.027220.222777
2081.51.69141-0.19141
20932.721330.27867
21032.300750.699252
2110.751.60736-0.857361
2121.52.08625-0.58625
2131.52.44246-0.942463
2142.252.30718-0.0571826
2152.252.79491-0.544915
2161.52.08725-0.587253
2172.252.072610.177387
2182.252.38473-0.134733
2190.751.81597-1.06597
2202.252.43971-0.189709
22132.4830.517005
2220.751.89086-1.14086
2230.751.81292-1.06292
22431.797151.20285
22532.614280.385719
22631.780781.21922
22732.067640.932363
2281.51.9478-0.447796
22932.548620.451376
23032.40650.593499
23132.099220.900777
23232.817470.182526
2331.51.83884-0.338839
2342.252.110840.139156
2350.751.7973-1.0473
2360.751.68004-0.930042
2372.251.571160.67884
23832.495050.504951
2392.252.09130.158697
24031.797811.20219
2412.252.36053-0.110529
24232.12280.877203
2431.51.86158-0.361578
24432.529540.470462
2450.751.79151-1.04151
2461.52.43749-0.937491
24732.68970.310296
24831.943271.05673
24932.488680.511324
2502.252.052040.197955
2512.251.925180.324817
25232.275210.724792
2531.52.31204-0.812045
2542.252.168820.0811758
2552.252.226620.0233834
2562.252.46526-0.215264
2570.751.59846-0.848462
2582.252.184620.0653839
2591.51.96012-0.460116
2602.251.886710.363291
2611.51.56246-0.0624601
2620.751.90945-1.15945
2631.51.958-0.457997
2641.51.86158-0.361578
2652.252.26608-0.0160847
2661.52.00999-0.509986
2671.52.00493-0.50493
26831.855851.14415
2692.251.998950.251051
2701.51.65116-0.151156
2710.751.82375-1.07375
2722.251.71540.534601
27332.258230.741765
27432.597740.402256
2751.52.1023-0.602295
2761.52.08031-0.580312
2772.252.34631-0.0963139
2780.751.5866-0.836601

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 2.1 & 2.17027 & -0.0702682 \tabularnewline
2 & 2 & 1.94544 & 0.0545641 \tabularnewline
3 & 2 & 2.00306 & -0.00306025 \tabularnewline
4 & 2.1 & 2.23757 & -0.137567 \tabularnewline
5 & 2 & 1.88878 & 0.111219 \tabularnewline
6 & 2.3 & 2.58403 & -0.284028 \tabularnewline
7 & 2.1 & 2.23711 & -0.137115 \tabularnewline
8 & 2.1 & 2.18105 & -0.081045 \tabularnewline
9 & 2.2 & 2.29187 & -0.0918729 \tabularnewline
10 & 2.1 & 2.32009 & -0.220089 \tabularnewline
11 & 2.1 & 2.20282 & -0.102822 \tabularnewline
12 & 2.1 & 2.4624 & -0.362399 \tabularnewline
13 & 2 & 1.88114 & 0.118859 \tabularnewline
14 & 2.3 & 2.4452 & -0.145204 \tabularnewline
15 & 1.8 & 1.52039 & 0.279612 \tabularnewline
16 & 2 & 1.81696 & 0.183043 \tabularnewline
17 & 2.2 & 2.39453 & -0.194525 \tabularnewline
18 & 2 & 1.97989 & 0.0201062 \tabularnewline
19 & 2.1 & 2.05089 & 0.0491142 \tabularnewline
20 & 2 & 1.96536 & 0.0346442 \tabularnewline
21 & 1.8 & 1.90498 & -0.104975 \tabularnewline
22 & 2.2 & 2.03862 & 0.16138 \tabularnewline
23 & 2.2 & 2.30733 & -0.107333 \tabularnewline
24 & 1.7 & 2.26012 & -0.560125 \tabularnewline
25 & 2.1 & 2.17523 & -0.0752254 \tabularnewline
26 & 2.3 & 2.70044 & -0.400437 \tabularnewline
27 & 2.7 & 2.37668 & 0.32332 \tabularnewline
28 & 1.9 & 1.85319 & 0.0468057 \tabularnewline
29 & 2 & 2.04653 & -0.0465271 \tabularnewline
30 & 2 & 2.06409 & -0.0640945 \tabularnewline
31 & 1.9 & 1.96661 & -0.0666144 \tabularnewline
32 & 2 & 2.19227 & -0.192268 \tabularnewline
33 & 2 & 2.01202 & -0.0120188 \tabularnewline
34 & 2.1 & 2.36961 & -0.269608 \tabularnewline
35 & 2 & 2.03509 & -0.0350894 \tabularnewline
36 & 1.8 & 1.99621 & -0.196212 \tabularnewline
37 & 2 & 1.99628 & 0.00372281 \tabularnewline
38 & 2.2 & 1.97849 & 0.221512 \tabularnewline
39 & 2.2 & 2.1183 & 0.0817016 \tabularnewline
40 & 2.1 & 2.37614 & -0.27614 \tabularnewline
41 & 1.8 & 1.7656 & 0.0344013 \tabularnewline
42 & 1.9 & 2.239 & -0.339003 \tabularnewline
43 & 2.1 & 2.08757 & 0.0124292 \tabularnewline
44 & 2 & 2.16812 & -0.168118 \tabularnewline
45 & 1.9 & 1.68339 & 0.216606 \tabularnewline
46 & 2.2 & 2.27764 & -0.0776414 \tabularnewline
47 & 2 & 2.1073 & -0.107304 \tabularnewline
48 & 2 & 1.84186 & 0.15814 \tabularnewline
49 & 1.7 & 1.79303 & -0.0930265 \tabularnewline
50 & 2 & 1.6544 & 0.345598 \tabularnewline
51 & 2.2 & 1.96543 & 0.234571 \tabularnewline
52 & 1.7 & 1.6858 & 0.0141983 \tabularnewline
53 & 2 & 2.11473 & -0.114725 \tabularnewline
54 & 2.2 & 2.05367 & 0.146327 \tabularnewline
55 & 2 & 2.19422 & -0.194216 \tabularnewline
56 & 1.9 & 2.1165 & -0.216496 \tabularnewline
57 & 2 & 1.90363 & 0.0963685 \tabularnewline
58 & 2 & 2.0404 & -0.0404009 \tabularnewline
59 & 1.6 & 1.41863 & 0.181375 \tabularnewline
60 & 2.1 & 1.94844 & 0.151562 \tabularnewline
61 & 2.1 & 2.30739 & -0.207394 \tabularnewline
62 & 2 & 1.88395 & 0.116047 \tabularnewline
63 & 1.9 & 1.81598 & 0.0840219 \tabularnewline
64 & 2.2 & 2.44454 & -0.244538 \tabularnewline
65 & 2.1 & 1.99738 & 0.102618 \tabularnewline
66 & 1.8 & 1.66086 & 0.139142 \tabularnewline
67 & 2.3 & 2.44869 & -0.148686 \tabularnewline
68 & 2.3 & 2.62573 & -0.325726 \tabularnewline
69 & 2.2 & 2.12146 & 0.0785358 \tabularnewline
70 & 2.1 & 1.82373 & 0.276269 \tabularnewline
71 & 2.2 & 2.31675 & -0.116746 \tabularnewline
72 & 1.9 & 1.86027 & 0.0397293 \tabularnewline
73 & 1.8 & 1.85513 & -0.055135 \tabularnewline
74 & 2.1 & 1.94324 & 0.156757 \tabularnewline
75 & 2 & 2.18106 & -0.181064 \tabularnewline
76 & 2.1 & 2.34093 & -0.240927 \tabularnewline
77 & 2.1 & 1.81341 & 0.286594 \tabularnewline
78 & 2.1 & 2.4689 & -0.368901 \tabularnewline
79 & 1.8 & 1.76574 & 0.0342592 \tabularnewline
80 & 2 & 1.96589 & 0.034114 \tabularnewline
81 & 2.1 & 1.7631 & 0.336904 \tabularnewline
82 & 1.9 & 1.76206 & 0.137937 \tabularnewline
83 & 2.1 & 1.96095 & 0.13905 \tabularnewline
84 & 1 & 1.65324 & -0.653242 \tabularnewline
85 & 2.2 & 1.90216 & 0.297838 \tabularnewline
86 & 2.1 & 2.04166 & 0.0583409 \tabularnewline
87 & 1.9 & 1.72171 & 0.178289 \tabularnewline
88 & 2 & 1.6753 & 0.324701 \tabularnewline
89 & 1.9 & 1.66152 & 0.238484 \tabularnewline
90 & 2 & 1.8604 & 0.139596 \tabularnewline
91 & 1.8 & 1.68217 & 0.117831 \tabularnewline
92 & 2 & 1.80211 & 0.197893 \tabularnewline
93 & 2 & 2.03459 & -0.034593 \tabularnewline
94 & 2 & 1.85327 & 0.146728 \tabularnewline
95 & 1.8 & 1.82142 & -0.0214174 \tabularnewline
96 & 2 & 1.70426 & 0.295745 \tabularnewline
97 & 1.1 & 1.99003 & -0.890028 \tabularnewline
98 & 1.8 & 1.71234 & 0.0876566 \tabularnewline
99 & 1.8 & 1.78019 & 0.0198106 \tabularnewline
100 & 2 & 1.79677 & 0.20323 \tabularnewline
101 & 1.9 & 1.76724 & 0.132757 \tabularnewline
102 & 2.1 & 1.88644 & 0.213565 \tabularnewline
103 & 1.6 & 1.67018 & -0.0701774 \tabularnewline
104 & 2.2 & 1.88109 & 0.318905 \tabularnewline
105 & 1.9 & 1.91853 & -0.0185279 \tabularnewline
106 & 2 & 1.74395 & 0.25605 \tabularnewline
107 & 2.1 & 1.73745 & 0.362555 \tabularnewline
108 & 1.3 & 1.75931 & -0.459305 \tabularnewline
109 & 1.8 & 1.58605 & 0.213953 \tabularnewline
110 & 1.9 & 1.78974 & 0.110259 \tabularnewline
111 & 2.1 & 1.77673 & 0.323266 \tabularnewline
112 & 1.8 & 1.64173 & 0.158269 \tabularnewline
113 & 0.75 & 1.49672 & -0.746722 \tabularnewline
114 & 1.5 & 1.97851 & -0.478511 \tabularnewline
115 & 3 & 2.33677 & 0.663235 \tabularnewline
116 & 2.25 & 2.38013 & -0.130135 \tabularnewline
117 & 3 & 2.77994 & 0.220063 \tabularnewline
118 & 1.5 & 1.51972 & -0.0197155 \tabularnewline
119 & 3 & 3.43131 & -0.431309 \tabularnewline
120 & 3 & 2.61567 & 0.384332 \tabularnewline
121 & 3 & 3.3206 & -0.320605 \tabularnewline
122 & 0.75 & 1.58919 & -0.839194 \tabularnewline
123 & 3 & 2.76252 & 0.237484 \tabularnewline
124 & 2.25 & 1.63503 & 0.61497 \tabularnewline
125 & 1.5 & 2.26477 & -0.764766 \tabularnewline
126 & 1.5 & 2.10958 & -0.609584 \tabularnewline
127 & 2.25 & 2.35828 & -0.108282 \tabularnewline
128 & 3 & 2.69442 & 0.305582 \tabularnewline
129 & 3 & 2.56762 & 0.432377 \tabularnewline
130 & 1.5 & 1.89879 & -0.398791 \tabularnewline
131 & 2.25 & 1.8492 & 0.400795 \tabularnewline
132 & 2.25 & 2.95146 & -0.701458 \tabularnewline
133 & 1.5 & 2.12286 & -0.622863 \tabularnewline
134 & 2.25 & 2.26727 & -0.0172727 \tabularnewline
135 & 1.5 & 1.88794 & -0.387941 \tabularnewline
136 & 2.25 & 2.26245 & -0.0124476 \tabularnewline
137 & 2.25 & 2.1444 & 0.105602 \tabularnewline
138 & 3 & 1.78767 & 1.21233 \tabularnewline
139 & 3 & 2.83947 & 0.16053 \tabularnewline
140 & 3 & 2.85706 & 0.14294 \tabularnewline
141 & 1.5 & 1.72375 & -0.223755 \tabularnewline
142 & 3 & 1.91269 & 1.08731 \tabularnewline
143 & 3 & 2.33157 & 0.668434 \tabularnewline
144 & 2.25 & 2.50504 & -0.255039 \tabularnewline
145 & 2.25 & 2.43717 & -0.187169 \tabularnewline
146 & 2.25 & 2.49647 & -0.246474 \tabularnewline
147 & 3 & 2.07332 & 0.926683 \tabularnewline
148 & 2.25 & 2.15921 & 0.0907891 \tabularnewline
149 & 3 & 2.70046 & 0.299536 \tabularnewline
150 & 3 & 2.53658 & 0.463419 \tabularnewline
151 & 1.5 & 2.40727 & -0.907273 \tabularnewline
152 & 2.25 & 2.37539 & -0.125391 \tabularnewline
153 & 3 & 2.46086 & 0.539137 \tabularnewline
154 & 2.25 & 2.70331 & -0.453308 \tabularnewline
155 & 1.5 & 1.8934 & -0.3934 \tabularnewline
156 & 2.25 & 2.23144 & 0.0185588 \tabularnewline
157 & 2.25 & 2.75828 & -0.508278 \tabularnewline
158 & 1.5 & 2.27591 & -0.775911 \tabularnewline
159 & 2.25 & 2.77231 & -0.522311 \tabularnewline
160 & 1.5 & 1.93492 & -0.434919 \tabularnewline
161 & 2.25 & 2.24082 & 0.0091781 \tabularnewline
162 & 3 & 2.58624 & 0.413759 \tabularnewline
163 & 3 & 2.41115 & 0.588848 \tabularnewline
164 & 3 & 1.59183 & 1.40817 \tabularnewline
165 & 3 & 2.52954 & 0.470462 \tabularnewline
166 & 1.5 & 1.56246 & -0.0624601 \tabularnewline
167 & 2.25 & 2.5626 & -0.312604 \tabularnewline
168 & 1.5 & 1.61171 & -0.111705 \tabularnewline
169 & 2.25 & 2.36626 & -0.116255 \tabularnewline
170 & 2.25 & 2.25788 & -0.00787833 \tabularnewline
171 & 2.25 & 2.35243 & -0.102426 \tabularnewline
172 & 3 & 2.17826 & 0.821735 \tabularnewline
173 & 1.5 & 2.17156 & -0.671557 \tabularnewline
174 & 2.25 & 2.47328 & -0.223284 \tabularnewline
175 & 2.25 & 2.47328 & -0.223284 \tabularnewline
176 & 3 & 2.224 & 0.776 \tabularnewline
177 & 2.25 & 2.26311 & -0.0131103 \tabularnewline
178 & 3 & 2.60113 & 0.398867 \tabularnewline
179 & 2.25 & 2.19271 & 0.0572926 \tabularnewline
180 & 1.5 & 1.80114 & -0.301142 \tabularnewline
181 & 3 & 2.36033 & 0.639674 \tabularnewline
182 & 1.5 & 2.15414 & -0.654142 \tabularnewline
183 & 3 & 2.74963 & 0.250367 \tabularnewline
184 & 3 & 2.24861 & 0.751391 \tabularnewline
185 & 3 & 1.97182 & 1.02818 \tabularnewline
186 & 3 & 2.25567 & 0.744328 \tabularnewline
187 & 2.25 & 1.89997 & 0.350028 \tabularnewline
188 & 2.25 & 1.98768 & 0.262319 \tabularnewline
189 & 0.75 & 1.51696 & -0.766957 \tabularnewline
190 & 3 & 1.95589 & 1.04411 \tabularnewline
191 & 0.75 & 1.76689 & -1.01689 \tabularnewline
192 & 1.5 & 2.12543 & -0.625427 \tabularnewline
193 & 1.5 & 1.69925 & -0.199252 \tabularnewline
194 & 3 & 2.10495 & 0.895052 \tabularnewline
195 & 1.5 & 1.89449 & -0.394488 \tabularnewline
196 & 2.25 & 2.23429 & 0.0157057 \tabularnewline
197 & 3 & 2.70231 & 0.297689 \tabularnewline
198 & 3 & 2.17273 & 0.82727 \tabularnewline
199 & 1.5 & 1.7466 & -0.246603 \tabularnewline
200 & 3 & 2.07065 & 0.929345 \tabularnewline
201 & 3 & 2.84195 & 0.158055 \tabularnewline
202 & 1.5 & 1.83474 & -0.334736 \tabularnewline
203 & 1.5 & 2.14071 & -0.640715 \tabularnewline
204 & 2.25 & 2.34816 & -0.0981583 \tabularnewline
205 & 1.5 & 1.88116 & -0.381159 \tabularnewline
206 & 1.5 & 1.70273 & -0.202731 \tabularnewline
207 & 2.25 & 2.02722 & 0.222777 \tabularnewline
208 & 1.5 & 1.69141 & -0.19141 \tabularnewline
209 & 3 & 2.72133 & 0.27867 \tabularnewline
210 & 3 & 2.30075 & 0.699252 \tabularnewline
211 & 0.75 & 1.60736 & -0.857361 \tabularnewline
212 & 1.5 & 2.08625 & -0.58625 \tabularnewline
213 & 1.5 & 2.44246 & -0.942463 \tabularnewline
214 & 2.25 & 2.30718 & -0.0571826 \tabularnewline
215 & 2.25 & 2.79491 & -0.544915 \tabularnewline
216 & 1.5 & 2.08725 & -0.587253 \tabularnewline
217 & 2.25 & 2.07261 & 0.177387 \tabularnewline
218 & 2.25 & 2.38473 & -0.134733 \tabularnewline
219 & 0.75 & 1.81597 & -1.06597 \tabularnewline
220 & 2.25 & 2.43971 & -0.189709 \tabularnewline
221 & 3 & 2.483 & 0.517005 \tabularnewline
222 & 0.75 & 1.89086 & -1.14086 \tabularnewline
223 & 0.75 & 1.81292 & -1.06292 \tabularnewline
224 & 3 & 1.79715 & 1.20285 \tabularnewline
225 & 3 & 2.61428 & 0.385719 \tabularnewline
226 & 3 & 1.78078 & 1.21922 \tabularnewline
227 & 3 & 2.06764 & 0.932363 \tabularnewline
228 & 1.5 & 1.9478 & -0.447796 \tabularnewline
229 & 3 & 2.54862 & 0.451376 \tabularnewline
230 & 3 & 2.4065 & 0.593499 \tabularnewline
231 & 3 & 2.09922 & 0.900777 \tabularnewline
232 & 3 & 2.81747 & 0.182526 \tabularnewline
233 & 1.5 & 1.83884 & -0.338839 \tabularnewline
234 & 2.25 & 2.11084 & 0.139156 \tabularnewline
235 & 0.75 & 1.7973 & -1.0473 \tabularnewline
236 & 0.75 & 1.68004 & -0.930042 \tabularnewline
237 & 2.25 & 1.57116 & 0.67884 \tabularnewline
238 & 3 & 2.49505 & 0.504951 \tabularnewline
239 & 2.25 & 2.0913 & 0.158697 \tabularnewline
240 & 3 & 1.79781 & 1.20219 \tabularnewline
241 & 2.25 & 2.36053 & -0.110529 \tabularnewline
242 & 3 & 2.1228 & 0.877203 \tabularnewline
243 & 1.5 & 1.86158 & -0.361578 \tabularnewline
244 & 3 & 2.52954 & 0.470462 \tabularnewline
245 & 0.75 & 1.79151 & -1.04151 \tabularnewline
246 & 1.5 & 2.43749 & -0.937491 \tabularnewline
247 & 3 & 2.6897 & 0.310296 \tabularnewline
248 & 3 & 1.94327 & 1.05673 \tabularnewline
249 & 3 & 2.48868 & 0.511324 \tabularnewline
250 & 2.25 & 2.05204 & 0.197955 \tabularnewline
251 & 2.25 & 1.92518 & 0.324817 \tabularnewline
252 & 3 & 2.27521 & 0.724792 \tabularnewline
253 & 1.5 & 2.31204 & -0.812045 \tabularnewline
254 & 2.25 & 2.16882 & 0.0811758 \tabularnewline
255 & 2.25 & 2.22662 & 0.0233834 \tabularnewline
256 & 2.25 & 2.46526 & -0.215264 \tabularnewline
257 & 0.75 & 1.59846 & -0.848462 \tabularnewline
258 & 2.25 & 2.18462 & 0.0653839 \tabularnewline
259 & 1.5 & 1.96012 & -0.460116 \tabularnewline
260 & 2.25 & 1.88671 & 0.363291 \tabularnewline
261 & 1.5 & 1.56246 & -0.0624601 \tabularnewline
262 & 0.75 & 1.90945 & -1.15945 \tabularnewline
263 & 1.5 & 1.958 & -0.457997 \tabularnewline
264 & 1.5 & 1.86158 & -0.361578 \tabularnewline
265 & 2.25 & 2.26608 & -0.0160847 \tabularnewline
266 & 1.5 & 2.00999 & -0.509986 \tabularnewline
267 & 1.5 & 2.00493 & -0.50493 \tabularnewline
268 & 3 & 1.85585 & 1.14415 \tabularnewline
269 & 2.25 & 1.99895 & 0.251051 \tabularnewline
270 & 1.5 & 1.65116 & -0.151156 \tabularnewline
271 & 0.75 & 1.82375 & -1.07375 \tabularnewline
272 & 2.25 & 1.7154 & 0.534601 \tabularnewline
273 & 3 & 2.25823 & 0.741765 \tabularnewline
274 & 3 & 2.59774 & 0.402256 \tabularnewline
275 & 1.5 & 2.1023 & -0.602295 \tabularnewline
276 & 1.5 & 2.08031 & -0.580312 \tabularnewline
277 & 2.25 & 2.34631 & -0.0963139 \tabularnewline
278 & 0.75 & 1.5866 & -0.836601 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266996&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]2.1[/C][C]2.17027[/C][C]-0.0702682[/C][/ROW]
[ROW][C]2[/C][C]2[/C][C]1.94544[/C][C]0.0545641[/C][/ROW]
[ROW][C]3[/C][C]2[/C][C]2.00306[/C][C]-0.00306025[/C][/ROW]
[ROW][C]4[/C][C]2.1[/C][C]2.23757[/C][C]-0.137567[/C][/ROW]
[ROW][C]5[/C][C]2[/C][C]1.88878[/C][C]0.111219[/C][/ROW]
[ROW][C]6[/C][C]2.3[/C][C]2.58403[/C][C]-0.284028[/C][/ROW]
[ROW][C]7[/C][C]2.1[/C][C]2.23711[/C][C]-0.137115[/C][/ROW]
[ROW][C]8[/C][C]2.1[/C][C]2.18105[/C][C]-0.081045[/C][/ROW]
[ROW][C]9[/C][C]2.2[/C][C]2.29187[/C][C]-0.0918729[/C][/ROW]
[ROW][C]10[/C][C]2.1[/C][C]2.32009[/C][C]-0.220089[/C][/ROW]
[ROW][C]11[/C][C]2.1[/C][C]2.20282[/C][C]-0.102822[/C][/ROW]
[ROW][C]12[/C][C]2.1[/C][C]2.4624[/C][C]-0.362399[/C][/ROW]
[ROW][C]13[/C][C]2[/C][C]1.88114[/C][C]0.118859[/C][/ROW]
[ROW][C]14[/C][C]2.3[/C][C]2.4452[/C][C]-0.145204[/C][/ROW]
[ROW][C]15[/C][C]1.8[/C][C]1.52039[/C][C]0.279612[/C][/ROW]
[ROW][C]16[/C][C]2[/C][C]1.81696[/C][C]0.183043[/C][/ROW]
[ROW][C]17[/C][C]2.2[/C][C]2.39453[/C][C]-0.194525[/C][/ROW]
[ROW][C]18[/C][C]2[/C][C]1.97989[/C][C]0.0201062[/C][/ROW]
[ROW][C]19[/C][C]2.1[/C][C]2.05089[/C][C]0.0491142[/C][/ROW]
[ROW][C]20[/C][C]2[/C][C]1.96536[/C][C]0.0346442[/C][/ROW]
[ROW][C]21[/C][C]1.8[/C][C]1.90498[/C][C]-0.104975[/C][/ROW]
[ROW][C]22[/C][C]2.2[/C][C]2.03862[/C][C]0.16138[/C][/ROW]
[ROW][C]23[/C][C]2.2[/C][C]2.30733[/C][C]-0.107333[/C][/ROW]
[ROW][C]24[/C][C]1.7[/C][C]2.26012[/C][C]-0.560125[/C][/ROW]
[ROW][C]25[/C][C]2.1[/C][C]2.17523[/C][C]-0.0752254[/C][/ROW]
[ROW][C]26[/C][C]2.3[/C][C]2.70044[/C][C]-0.400437[/C][/ROW]
[ROW][C]27[/C][C]2.7[/C][C]2.37668[/C][C]0.32332[/C][/ROW]
[ROW][C]28[/C][C]1.9[/C][C]1.85319[/C][C]0.0468057[/C][/ROW]
[ROW][C]29[/C][C]2[/C][C]2.04653[/C][C]-0.0465271[/C][/ROW]
[ROW][C]30[/C][C]2[/C][C]2.06409[/C][C]-0.0640945[/C][/ROW]
[ROW][C]31[/C][C]1.9[/C][C]1.96661[/C][C]-0.0666144[/C][/ROW]
[ROW][C]32[/C][C]2[/C][C]2.19227[/C][C]-0.192268[/C][/ROW]
[ROW][C]33[/C][C]2[/C][C]2.01202[/C][C]-0.0120188[/C][/ROW]
[ROW][C]34[/C][C]2.1[/C][C]2.36961[/C][C]-0.269608[/C][/ROW]
[ROW][C]35[/C][C]2[/C][C]2.03509[/C][C]-0.0350894[/C][/ROW]
[ROW][C]36[/C][C]1.8[/C][C]1.99621[/C][C]-0.196212[/C][/ROW]
[ROW][C]37[/C][C]2[/C][C]1.99628[/C][C]0.00372281[/C][/ROW]
[ROW][C]38[/C][C]2.2[/C][C]1.97849[/C][C]0.221512[/C][/ROW]
[ROW][C]39[/C][C]2.2[/C][C]2.1183[/C][C]0.0817016[/C][/ROW]
[ROW][C]40[/C][C]2.1[/C][C]2.37614[/C][C]-0.27614[/C][/ROW]
[ROW][C]41[/C][C]1.8[/C][C]1.7656[/C][C]0.0344013[/C][/ROW]
[ROW][C]42[/C][C]1.9[/C][C]2.239[/C][C]-0.339003[/C][/ROW]
[ROW][C]43[/C][C]2.1[/C][C]2.08757[/C][C]0.0124292[/C][/ROW]
[ROW][C]44[/C][C]2[/C][C]2.16812[/C][C]-0.168118[/C][/ROW]
[ROW][C]45[/C][C]1.9[/C][C]1.68339[/C][C]0.216606[/C][/ROW]
[ROW][C]46[/C][C]2.2[/C][C]2.27764[/C][C]-0.0776414[/C][/ROW]
[ROW][C]47[/C][C]2[/C][C]2.1073[/C][C]-0.107304[/C][/ROW]
[ROW][C]48[/C][C]2[/C][C]1.84186[/C][C]0.15814[/C][/ROW]
[ROW][C]49[/C][C]1.7[/C][C]1.79303[/C][C]-0.0930265[/C][/ROW]
[ROW][C]50[/C][C]2[/C][C]1.6544[/C][C]0.345598[/C][/ROW]
[ROW][C]51[/C][C]2.2[/C][C]1.96543[/C][C]0.234571[/C][/ROW]
[ROW][C]52[/C][C]1.7[/C][C]1.6858[/C][C]0.0141983[/C][/ROW]
[ROW][C]53[/C][C]2[/C][C]2.11473[/C][C]-0.114725[/C][/ROW]
[ROW][C]54[/C][C]2.2[/C][C]2.05367[/C][C]0.146327[/C][/ROW]
[ROW][C]55[/C][C]2[/C][C]2.19422[/C][C]-0.194216[/C][/ROW]
[ROW][C]56[/C][C]1.9[/C][C]2.1165[/C][C]-0.216496[/C][/ROW]
[ROW][C]57[/C][C]2[/C][C]1.90363[/C][C]0.0963685[/C][/ROW]
[ROW][C]58[/C][C]2[/C][C]2.0404[/C][C]-0.0404009[/C][/ROW]
[ROW][C]59[/C][C]1.6[/C][C]1.41863[/C][C]0.181375[/C][/ROW]
[ROW][C]60[/C][C]2.1[/C][C]1.94844[/C][C]0.151562[/C][/ROW]
[ROW][C]61[/C][C]2.1[/C][C]2.30739[/C][C]-0.207394[/C][/ROW]
[ROW][C]62[/C][C]2[/C][C]1.88395[/C][C]0.116047[/C][/ROW]
[ROW][C]63[/C][C]1.9[/C][C]1.81598[/C][C]0.0840219[/C][/ROW]
[ROW][C]64[/C][C]2.2[/C][C]2.44454[/C][C]-0.244538[/C][/ROW]
[ROW][C]65[/C][C]2.1[/C][C]1.99738[/C][C]0.102618[/C][/ROW]
[ROW][C]66[/C][C]1.8[/C][C]1.66086[/C][C]0.139142[/C][/ROW]
[ROW][C]67[/C][C]2.3[/C][C]2.44869[/C][C]-0.148686[/C][/ROW]
[ROW][C]68[/C][C]2.3[/C][C]2.62573[/C][C]-0.325726[/C][/ROW]
[ROW][C]69[/C][C]2.2[/C][C]2.12146[/C][C]0.0785358[/C][/ROW]
[ROW][C]70[/C][C]2.1[/C][C]1.82373[/C][C]0.276269[/C][/ROW]
[ROW][C]71[/C][C]2.2[/C][C]2.31675[/C][C]-0.116746[/C][/ROW]
[ROW][C]72[/C][C]1.9[/C][C]1.86027[/C][C]0.0397293[/C][/ROW]
[ROW][C]73[/C][C]1.8[/C][C]1.85513[/C][C]-0.055135[/C][/ROW]
[ROW][C]74[/C][C]2.1[/C][C]1.94324[/C][C]0.156757[/C][/ROW]
[ROW][C]75[/C][C]2[/C][C]2.18106[/C][C]-0.181064[/C][/ROW]
[ROW][C]76[/C][C]2.1[/C][C]2.34093[/C][C]-0.240927[/C][/ROW]
[ROW][C]77[/C][C]2.1[/C][C]1.81341[/C][C]0.286594[/C][/ROW]
[ROW][C]78[/C][C]2.1[/C][C]2.4689[/C][C]-0.368901[/C][/ROW]
[ROW][C]79[/C][C]1.8[/C][C]1.76574[/C][C]0.0342592[/C][/ROW]
[ROW][C]80[/C][C]2[/C][C]1.96589[/C][C]0.034114[/C][/ROW]
[ROW][C]81[/C][C]2.1[/C][C]1.7631[/C][C]0.336904[/C][/ROW]
[ROW][C]82[/C][C]1.9[/C][C]1.76206[/C][C]0.137937[/C][/ROW]
[ROW][C]83[/C][C]2.1[/C][C]1.96095[/C][C]0.13905[/C][/ROW]
[ROW][C]84[/C][C]1[/C][C]1.65324[/C][C]-0.653242[/C][/ROW]
[ROW][C]85[/C][C]2.2[/C][C]1.90216[/C][C]0.297838[/C][/ROW]
[ROW][C]86[/C][C]2.1[/C][C]2.04166[/C][C]0.0583409[/C][/ROW]
[ROW][C]87[/C][C]1.9[/C][C]1.72171[/C][C]0.178289[/C][/ROW]
[ROW][C]88[/C][C]2[/C][C]1.6753[/C][C]0.324701[/C][/ROW]
[ROW][C]89[/C][C]1.9[/C][C]1.66152[/C][C]0.238484[/C][/ROW]
[ROW][C]90[/C][C]2[/C][C]1.8604[/C][C]0.139596[/C][/ROW]
[ROW][C]91[/C][C]1.8[/C][C]1.68217[/C][C]0.117831[/C][/ROW]
[ROW][C]92[/C][C]2[/C][C]1.80211[/C][C]0.197893[/C][/ROW]
[ROW][C]93[/C][C]2[/C][C]2.03459[/C][C]-0.034593[/C][/ROW]
[ROW][C]94[/C][C]2[/C][C]1.85327[/C][C]0.146728[/C][/ROW]
[ROW][C]95[/C][C]1.8[/C][C]1.82142[/C][C]-0.0214174[/C][/ROW]
[ROW][C]96[/C][C]2[/C][C]1.70426[/C][C]0.295745[/C][/ROW]
[ROW][C]97[/C][C]1.1[/C][C]1.99003[/C][C]-0.890028[/C][/ROW]
[ROW][C]98[/C][C]1.8[/C][C]1.71234[/C][C]0.0876566[/C][/ROW]
[ROW][C]99[/C][C]1.8[/C][C]1.78019[/C][C]0.0198106[/C][/ROW]
[ROW][C]100[/C][C]2[/C][C]1.79677[/C][C]0.20323[/C][/ROW]
[ROW][C]101[/C][C]1.9[/C][C]1.76724[/C][C]0.132757[/C][/ROW]
[ROW][C]102[/C][C]2.1[/C][C]1.88644[/C][C]0.213565[/C][/ROW]
[ROW][C]103[/C][C]1.6[/C][C]1.67018[/C][C]-0.0701774[/C][/ROW]
[ROW][C]104[/C][C]2.2[/C][C]1.88109[/C][C]0.318905[/C][/ROW]
[ROW][C]105[/C][C]1.9[/C][C]1.91853[/C][C]-0.0185279[/C][/ROW]
[ROW][C]106[/C][C]2[/C][C]1.74395[/C][C]0.25605[/C][/ROW]
[ROW][C]107[/C][C]2.1[/C][C]1.73745[/C][C]0.362555[/C][/ROW]
[ROW][C]108[/C][C]1.3[/C][C]1.75931[/C][C]-0.459305[/C][/ROW]
[ROW][C]109[/C][C]1.8[/C][C]1.58605[/C][C]0.213953[/C][/ROW]
[ROW][C]110[/C][C]1.9[/C][C]1.78974[/C][C]0.110259[/C][/ROW]
[ROW][C]111[/C][C]2.1[/C][C]1.77673[/C][C]0.323266[/C][/ROW]
[ROW][C]112[/C][C]1.8[/C][C]1.64173[/C][C]0.158269[/C][/ROW]
[ROW][C]113[/C][C]0.75[/C][C]1.49672[/C][C]-0.746722[/C][/ROW]
[ROW][C]114[/C][C]1.5[/C][C]1.97851[/C][C]-0.478511[/C][/ROW]
[ROW][C]115[/C][C]3[/C][C]2.33677[/C][C]0.663235[/C][/ROW]
[ROW][C]116[/C][C]2.25[/C][C]2.38013[/C][C]-0.130135[/C][/ROW]
[ROW][C]117[/C][C]3[/C][C]2.77994[/C][C]0.220063[/C][/ROW]
[ROW][C]118[/C][C]1.5[/C][C]1.51972[/C][C]-0.0197155[/C][/ROW]
[ROW][C]119[/C][C]3[/C][C]3.43131[/C][C]-0.431309[/C][/ROW]
[ROW][C]120[/C][C]3[/C][C]2.61567[/C][C]0.384332[/C][/ROW]
[ROW][C]121[/C][C]3[/C][C]3.3206[/C][C]-0.320605[/C][/ROW]
[ROW][C]122[/C][C]0.75[/C][C]1.58919[/C][C]-0.839194[/C][/ROW]
[ROW][C]123[/C][C]3[/C][C]2.76252[/C][C]0.237484[/C][/ROW]
[ROW][C]124[/C][C]2.25[/C][C]1.63503[/C][C]0.61497[/C][/ROW]
[ROW][C]125[/C][C]1.5[/C][C]2.26477[/C][C]-0.764766[/C][/ROW]
[ROW][C]126[/C][C]1.5[/C][C]2.10958[/C][C]-0.609584[/C][/ROW]
[ROW][C]127[/C][C]2.25[/C][C]2.35828[/C][C]-0.108282[/C][/ROW]
[ROW][C]128[/C][C]3[/C][C]2.69442[/C][C]0.305582[/C][/ROW]
[ROW][C]129[/C][C]3[/C][C]2.56762[/C][C]0.432377[/C][/ROW]
[ROW][C]130[/C][C]1.5[/C][C]1.89879[/C][C]-0.398791[/C][/ROW]
[ROW][C]131[/C][C]2.25[/C][C]1.8492[/C][C]0.400795[/C][/ROW]
[ROW][C]132[/C][C]2.25[/C][C]2.95146[/C][C]-0.701458[/C][/ROW]
[ROW][C]133[/C][C]1.5[/C][C]2.12286[/C][C]-0.622863[/C][/ROW]
[ROW][C]134[/C][C]2.25[/C][C]2.26727[/C][C]-0.0172727[/C][/ROW]
[ROW][C]135[/C][C]1.5[/C][C]1.88794[/C][C]-0.387941[/C][/ROW]
[ROW][C]136[/C][C]2.25[/C][C]2.26245[/C][C]-0.0124476[/C][/ROW]
[ROW][C]137[/C][C]2.25[/C][C]2.1444[/C][C]0.105602[/C][/ROW]
[ROW][C]138[/C][C]3[/C][C]1.78767[/C][C]1.21233[/C][/ROW]
[ROW][C]139[/C][C]3[/C][C]2.83947[/C][C]0.16053[/C][/ROW]
[ROW][C]140[/C][C]3[/C][C]2.85706[/C][C]0.14294[/C][/ROW]
[ROW][C]141[/C][C]1.5[/C][C]1.72375[/C][C]-0.223755[/C][/ROW]
[ROW][C]142[/C][C]3[/C][C]1.91269[/C][C]1.08731[/C][/ROW]
[ROW][C]143[/C][C]3[/C][C]2.33157[/C][C]0.668434[/C][/ROW]
[ROW][C]144[/C][C]2.25[/C][C]2.50504[/C][C]-0.255039[/C][/ROW]
[ROW][C]145[/C][C]2.25[/C][C]2.43717[/C][C]-0.187169[/C][/ROW]
[ROW][C]146[/C][C]2.25[/C][C]2.49647[/C][C]-0.246474[/C][/ROW]
[ROW][C]147[/C][C]3[/C][C]2.07332[/C][C]0.926683[/C][/ROW]
[ROW][C]148[/C][C]2.25[/C][C]2.15921[/C][C]0.0907891[/C][/ROW]
[ROW][C]149[/C][C]3[/C][C]2.70046[/C][C]0.299536[/C][/ROW]
[ROW][C]150[/C][C]3[/C][C]2.53658[/C][C]0.463419[/C][/ROW]
[ROW][C]151[/C][C]1.5[/C][C]2.40727[/C][C]-0.907273[/C][/ROW]
[ROW][C]152[/C][C]2.25[/C][C]2.37539[/C][C]-0.125391[/C][/ROW]
[ROW][C]153[/C][C]3[/C][C]2.46086[/C][C]0.539137[/C][/ROW]
[ROW][C]154[/C][C]2.25[/C][C]2.70331[/C][C]-0.453308[/C][/ROW]
[ROW][C]155[/C][C]1.5[/C][C]1.8934[/C][C]-0.3934[/C][/ROW]
[ROW][C]156[/C][C]2.25[/C][C]2.23144[/C][C]0.0185588[/C][/ROW]
[ROW][C]157[/C][C]2.25[/C][C]2.75828[/C][C]-0.508278[/C][/ROW]
[ROW][C]158[/C][C]1.5[/C][C]2.27591[/C][C]-0.775911[/C][/ROW]
[ROW][C]159[/C][C]2.25[/C][C]2.77231[/C][C]-0.522311[/C][/ROW]
[ROW][C]160[/C][C]1.5[/C][C]1.93492[/C][C]-0.434919[/C][/ROW]
[ROW][C]161[/C][C]2.25[/C][C]2.24082[/C][C]0.0091781[/C][/ROW]
[ROW][C]162[/C][C]3[/C][C]2.58624[/C][C]0.413759[/C][/ROW]
[ROW][C]163[/C][C]3[/C][C]2.41115[/C][C]0.588848[/C][/ROW]
[ROW][C]164[/C][C]3[/C][C]1.59183[/C][C]1.40817[/C][/ROW]
[ROW][C]165[/C][C]3[/C][C]2.52954[/C][C]0.470462[/C][/ROW]
[ROW][C]166[/C][C]1.5[/C][C]1.56246[/C][C]-0.0624601[/C][/ROW]
[ROW][C]167[/C][C]2.25[/C][C]2.5626[/C][C]-0.312604[/C][/ROW]
[ROW][C]168[/C][C]1.5[/C][C]1.61171[/C][C]-0.111705[/C][/ROW]
[ROW][C]169[/C][C]2.25[/C][C]2.36626[/C][C]-0.116255[/C][/ROW]
[ROW][C]170[/C][C]2.25[/C][C]2.25788[/C][C]-0.00787833[/C][/ROW]
[ROW][C]171[/C][C]2.25[/C][C]2.35243[/C][C]-0.102426[/C][/ROW]
[ROW][C]172[/C][C]3[/C][C]2.17826[/C][C]0.821735[/C][/ROW]
[ROW][C]173[/C][C]1.5[/C][C]2.17156[/C][C]-0.671557[/C][/ROW]
[ROW][C]174[/C][C]2.25[/C][C]2.47328[/C][C]-0.223284[/C][/ROW]
[ROW][C]175[/C][C]2.25[/C][C]2.47328[/C][C]-0.223284[/C][/ROW]
[ROW][C]176[/C][C]3[/C][C]2.224[/C][C]0.776[/C][/ROW]
[ROW][C]177[/C][C]2.25[/C][C]2.26311[/C][C]-0.0131103[/C][/ROW]
[ROW][C]178[/C][C]3[/C][C]2.60113[/C][C]0.398867[/C][/ROW]
[ROW][C]179[/C][C]2.25[/C][C]2.19271[/C][C]0.0572926[/C][/ROW]
[ROW][C]180[/C][C]1.5[/C][C]1.80114[/C][C]-0.301142[/C][/ROW]
[ROW][C]181[/C][C]3[/C][C]2.36033[/C][C]0.639674[/C][/ROW]
[ROW][C]182[/C][C]1.5[/C][C]2.15414[/C][C]-0.654142[/C][/ROW]
[ROW][C]183[/C][C]3[/C][C]2.74963[/C][C]0.250367[/C][/ROW]
[ROW][C]184[/C][C]3[/C][C]2.24861[/C][C]0.751391[/C][/ROW]
[ROW][C]185[/C][C]3[/C][C]1.97182[/C][C]1.02818[/C][/ROW]
[ROW][C]186[/C][C]3[/C][C]2.25567[/C][C]0.744328[/C][/ROW]
[ROW][C]187[/C][C]2.25[/C][C]1.89997[/C][C]0.350028[/C][/ROW]
[ROW][C]188[/C][C]2.25[/C][C]1.98768[/C][C]0.262319[/C][/ROW]
[ROW][C]189[/C][C]0.75[/C][C]1.51696[/C][C]-0.766957[/C][/ROW]
[ROW][C]190[/C][C]3[/C][C]1.95589[/C][C]1.04411[/C][/ROW]
[ROW][C]191[/C][C]0.75[/C][C]1.76689[/C][C]-1.01689[/C][/ROW]
[ROW][C]192[/C][C]1.5[/C][C]2.12543[/C][C]-0.625427[/C][/ROW]
[ROW][C]193[/C][C]1.5[/C][C]1.69925[/C][C]-0.199252[/C][/ROW]
[ROW][C]194[/C][C]3[/C][C]2.10495[/C][C]0.895052[/C][/ROW]
[ROW][C]195[/C][C]1.5[/C][C]1.89449[/C][C]-0.394488[/C][/ROW]
[ROW][C]196[/C][C]2.25[/C][C]2.23429[/C][C]0.0157057[/C][/ROW]
[ROW][C]197[/C][C]3[/C][C]2.70231[/C][C]0.297689[/C][/ROW]
[ROW][C]198[/C][C]3[/C][C]2.17273[/C][C]0.82727[/C][/ROW]
[ROW][C]199[/C][C]1.5[/C][C]1.7466[/C][C]-0.246603[/C][/ROW]
[ROW][C]200[/C][C]3[/C][C]2.07065[/C][C]0.929345[/C][/ROW]
[ROW][C]201[/C][C]3[/C][C]2.84195[/C][C]0.158055[/C][/ROW]
[ROW][C]202[/C][C]1.5[/C][C]1.83474[/C][C]-0.334736[/C][/ROW]
[ROW][C]203[/C][C]1.5[/C][C]2.14071[/C][C]-0.640715[/C][/ROW]
[ROW][C]204[/C][C]2.25[/C][C]2.34816[/C][C]-0.0981583[/C][/ROW]
[ROW][C]205[/C][C]1.5[/C][C]1.88116[/C][C]-0.381159[/C][/ROW]
[ROW][C]206[/C][C]1.5[/C][C]1.70273[/C][C]-0.202731[/C][/ROW]
[ROW][C]207[/C][C]2.25[/C][C]2.02722[/C][C]0.222777[/C][/ROW]
[ROW][C]208[/C][C]1.5[/C][C]1.69141[/C][C]-0.19141[/C][/ROW]
[ROW][C]209[/C][C]3[/C][C]2.72133[/C][C]0.27867[/C][/ROW]
[ROW][C]210[/C][C]3[/C][C]2.30075[/C][C]0.699252[/C][/ROW]
[ROW][C]211[/C][C]0.75[/C][C]1.60736[/C][C]-0.857361[/C][/ROW]
[ROW][C]212[/C][C]1.5[/C][C]2.08625[/C][C]-0.58625[/C][/ROW]
[ROW][C]213[/C][C]1.5[/C][C]2.44246[/C][C]-0.942463[/C][/ROW]
[ROW][C]214[/C][C]2.25[/C][C]2.30718[/C][C]-0.0571826[/C][/ROW]
[ROW][C]215[/C][C]2.25[/C][C]2.79491[/C][C]-0.544915[/C][/ROW]
[ROW][C]216[/C][C]1.5[/C][C]2.08725[/C][C]-0.587253[/C][/ROW]
[ROW][C]217[/C][C]2.25[/C][C]2.07261[/C][C]0.177387[/C][/ROW]
[ROW][C]218[/C][C]2.25[/C][C]2.38473[/C][C]-0.134733[/C][/ROW]
[ROW][C]219[/C][C]0.75[/C][C]1.81597[/C][C]-1.06597[/C][/ROW]
[ROW][C]220[/C][C]2.25[/C][C]2.43971[/C][C]-0.189709[/C][/ROW]
[ROW][C]221[/C][C]3[/C][C]2.483[/C][C]0.517005[/C][/ROW]
[ROW][C]222[/C][C]0.75[/C][C]1.89086[/C][C]-1.14086[/C][/ROW]
[ROW][C]223[/C][C]0.75[/C][C]1.81292[/C][C]-1.06292[/C][/ROW]
[ROW][C]224[/C][C]3[/C][C]1.79715[/C][C]1.20285[/C][/ROW]
[ROW][C]225[/C][C]3[/C][C]2.61428[/C][C]0.385719[/C][/ROW]
[ROW][C]226[/C][C]3[/C][C]1.78078[/C][C]1.21922[/C][/ROW]
[ROW][C]227[/C][C]3[/C][C]2.06764[/C][C]0.932363[/C][/ROW]
[ROW][C]228[/C][C]1.5[/C][C]1.9478[/C][C]-0.447796[/C][/ROW]
[ROW][C]229[/C][C]3[/C][C]2.54862[/C][C]0.451376[/C][/ROW]
[ROW][C]230[/C][C]3[/C][C]2.4065[/C][C]0.593499[/C][/ROW]
[ROW][C]231[/C][C]3[/C][C]2.09922[/C][C]0.900777[/C][/ROW]
[ROW][C]232[/C][C]3[/C][C]2.81747[/C][C]0.182526[/C][/ROW]
[ROW][C]233[/C][C]1.5[/C][C]1.83884[/C][C]-0.338839[/C][/ROW]
[ROW][C]234[/C][C]2.25[/C][C]2.11084[/C][C]0.139156[/C][/ROW]
[ROW][C]235[/C][C]0.75[/C][C]1.7973[/C][C]-1.0473[/C][/ROW]
[ROW][C]236[/C][C]0.75[/C][C]1.68004[/C][C]-0.930042[/C][/ROW]
[ROW][C]237[/C][C]2.25[/C][C]1.57116[/C][C]0.67884[/C][/ROW]
[ROW][C]238[/C][C]3[/C][C]2.49505[/C][C]0.504951[/C][/ROW]
[ROW][C]239[/C][C]2.25[/C][C]2.0913[/C][C]0.158697[/C][/ROW]
[ROW][C]240[/C][C]3[/C][C]1.79781[/C][C]1.20219[/C][/ROW]
[ROW][C]241[/C][C]2.25[/C][C]2.36053[/C][C]-0.110529[/C][/ROW]
[ROW][C]242[/C][C]3[/C][C]2.1228[/C][C]0.877203[/C][/ROW]
[ROW][C]243[/C][C]1.5[/C][C]1.86158[/C][C]-0.361578[/C][/ROW]
[ROW][C]244[/C][C]3[/C][C]2.52954[/C][C]0.470462[/C][/ROW]
[ROW][C]245[/C][C]0.75[/C][C]1.79151[/C][C]-1.04151[/C][/ROW]
[ROW][C]246[/C][C]1.5[/C][C]2.43749[/C][C]-0.937491[/C][/ROW]
[ROW][C]247[/C][C]3[/C][C]2.6897[/C][C]0.310296[/C][/ROW]
[ROW][C]248[/C][C]3[/C][C]1.94327[/C][C]1.05673[/C][/ROW]
[ROW][C]249[/C][C]3[/C][C]2.48868[/C][C]0.511324[/C][/ROW]
[ROW][C]250[/C][C]2.25[/C][C]2.05204[/C][C]0.197955[/C][/ROW]
[ROW][C]251[/C][C]2.25[/C][C]1.92518[/C][C]0.324817[/C][/ROW]
[ROW][C]252[/C][C]3[/C][C]2.27521[/C][C]0.724792[/C][/ROW]
[ROW][C]253[/C][C]1.5[/C][C]2.31204[/C][C]-0.812045[/C][/ROW]
[ROW][C]254[/C][C]2.25[/C][C]2.16882[/C][C]0.0811758[/C][/ROW]
[ROW][C]255[/C][C]2.25[/C][C]2.22662[/C][C]0.0233834[/C][/ROW]
[ROW][C]256[/C][C]2.25[/C][C]2.46526[/C][C]-0.215264[/C][/ROW]
[ROW][C]257[/C][C]0.75[/C][C]1.59846[/C][C]-0.848462[/C][/ROW]
[ROW][C]258[/C][C]2.25[/C][C]2.18462[/C][C]0.0653839[/C][/ROW]
[ROW][C]259[/C][C]1.5[/C][C]1.96012[/C][C]-0.460116[/C][/ROW]
[ROW][C]260[/C][C]2.25[/C][C]1.88671[/C][C]0.363291[/C][/ROW]
[ROW][C]261[/C][C]1.5[/C][C]1.56246[/C][C]-0.0624601[/C][/ROW]
[ROW][C]262[/C][C]0.75[/C][C]1.90945[/C][C]-1.15945[/C][/ROW]
[ROW][C]263[/C][C]1.5[/C][C]1.958[/C][C]-0.457997[/C][/ROW]
[ROW][C]264[/C][C]1.5[/C][C]1.86158[/C][C]-0.361578[/C][/ROW]
[ROW][C]265[/C][C]2.25[/C][C]2.26608[/C][C]-0.0160847[/C][/ROW]
[ROW][C]266[/C][C]1.5[/C][C]2.00999[/C][C]-0.509986[/C][/ROW]
[ROW][C]267[/C][C]1.5[/C][C]2.00493[/C][C]-0.50493[/C][/ROW]
[ROW][C]268[/C][C]3[/C][C]1.85585[/C][C]1.14415[/C][/ROW]
[ROW][C]269[/C][C]2.25[/C][C]1.99895[/C][C]0.251051[/C][/ROW]
[ROW][C]270[/C][C]1.5[/C][C]1.65116[/C][C]-0.151156[/C][/ROW]
[ROW][C]271[/C][C]0.75[/C][C]1.82375[/C][C]-1.07375[/C][/ROW]
[ROW][C]272[/C][C]2.25[/C][C]1.7154[/C][C]0.534601[/C][/ROW]
[ROW][C]273[/C][C]3[/C][C]2.25823[/C][C]0.741765[/C][/ROW]
[ROW][C]274[/C][C]3[/C][C]2.59774[/C][C]0.402256[/C][/ROW]
[ROW][C]275[/C][C]1.5[/C][C]2.1023[/C][C]-0.602295[/C][/ROW]
[ROW][C]276[/C][C]1.5[/C][C]2.08031[/C][C]-0.580312[/C][/ROW]
[ROW][C]277[/C][C]2.25[/C][C]2.34631[/C][C]-0.0963139[/C][/ROW]
[ROW][C]278[/C][C]0.75[/C][C]1.5866[/C][C]-0.836601[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266996&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266996&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
12.12.17027-0.0702682
221.945440.0545641
322.00306-0.00306025
42.12.23757-0.137567
521.888780.111219
62.32.58403-0.284028
72.12.23711-0.137115
82.12.18105-0.081045
92.22.29187-0.0918729
102.12.32009-0.220089
112.12.20282-0.102822
122.12.4624-0.362399
1321.881140.118859
142.32.4452-0.145204
151.81.520390.279612
1621.816960.183043
172.22.39453-0.194525
1821.979890.0201062
192.12.050890.0491142
2021.965360.0346442
211.81.90498-0.104975
222.22.038620.16138
232.22.30733-0.107333
241.72.26012-0.560125
252.12.17523-0.0752254
262.32.70044-0.400437
272.72.376680.32332
281.91.853190.0468057
2922.04653-0.0465271
3022.06409-0.0640945
311.91.96661-0.0666144
3222.19227-0.192268
3322.01202-0.0120188
342.12.36961-0.269608
3522.03509-0.0350894
361.81.99621-0.196212
3721.996280.00372281
382.21.978490.221512
392.22.11830.0817016
402.12.37614-0.27614
411.81.76560.0344013
421.92.239-0.339003
432.12.087570.0124292
4422.16812-0.168118
451.91.683390.216606
462.22.27764-0.0776414
4722.1073-0.107304
4821.841860.15814
491.71.79303-0.0930265
5021.65440.345598
512.21.965430.234571
521.71.68580.0141983
5322.11473-0.114725
542.22.053670.146327
5522.19422-0.194216
561.92.1165-0.216496
5721.903630.0963685
5822.0404-0.0404009
591.61.418630.181375
602.11.948440.151562
612.12.30739-0.207394
6221.883950.116047
631.91.815980.0840219
642.22.44454-0.244538
652.11.997380.102618
661.81.660860.139142
672.32.44869-0.148686
682.32.62573-0.325726
692.22.121460.0785358
702.11.823730.276269
712.22.31675-0.116746
721.91.860270.0397293
731.81.85513-0.055135
742.11.943240.156757
7522.18106-0.181064
762.12.34093-0.240927
772.11.813410.286594
782.12.4689-0.368901
791.81.765740.0342592
8021.965890.034114
812.11.76310.336904
821.91.762060.137937
832.11.960950.13905
8411.65324-0.653242
852.21.902160.297838
862.12.041660.0583409
871.91.721710.178289
8821.67530.324701
891.91.661520.238484
9021.86040.139596
911.81.682170.117831
9221.802110.197893
9322.03459-0.034593
9421.853270.146728
951.81.82142-0.0214174
9621.704260.295745
971.11.99003-0.890028
981.81.712340.0876566
991.81.780190.0198106
10021.796770.20323
1011.91.767240.132757
1022.11.886440.213565
1031.61.67018-0.0701774
1042.21.881090.318905
1051.91.91853-0.0185279
10621.743950.25605
1072.11.737450.362555
1081.31.75931-0.459305
1091.81.586050.213953
1101.91.789740.110259
1112.11.776730.323266
1121.81.641730.158269
1130.751.49672-0.746722
1141.51.97851-0.478511
11532.336770.663235
1162.252.38013-0.130135
11732.779940.220063
1181.51.51972-0.0197155
11933.43131-0.431309
12032.615670.384332
12133.3206-0.320605
1220.751.58919-0.839194
12332.762520.237484
1242.251.635030.61497
1251.52.26477-0.764766
1261.52.10958-0.609584
1272.252.35828-0.108282
12832.694420.305582
12932.567620.432377
1301.51.89879-0.398791
1312.251.84920.400795
1322.252.95146-0.701458
1331.52.12286-0.622863
1342.252.26727-0.0172727
1351.51.88794-0.387941
1362.252.26245-0.0124476
1372.252.14440.105602
13831.787671.21233
13932.839470.16053
14032.857060.14294
1411.51.72375-0.223755
14231.912691.08731
14332.331570.668434
1442.252.50504-0.255039
1452.252.43717-0.187169
1462.252.49647-0.246474
14732.073320.926683
1482.252.159210.0907891
14932.700460.299536
15032.536580.463419
1511.52.40727-0.907273
1522.252.37539-0.125391
15332.460860.539137
1542.252.70331-0.453308
1551.51.8934-0.3934
1562.252.231440.0185588
1572.252.75828-0.508278
1581.52.27591-0.775911
1592.252.77231-0.522311
1601.51.93492-0.434919
1612.252.240820.0091781
16232.586240.413759
16332.411150.588848
16431.591831.40817
16532.529540.470462
1661.51.56246-0.0624601
1672.252.5626-0.312604
1681.51.61171-0.111705
1692.252.36626-0.116255
1702.252.25788-0.00787833
1712.252.35243-0.102426
17232.178260.821735
1731.52.17156-0.671557
1742.252.47328-0.223284
1752.252.47328-0.223284
17632.2240.776
1772.252.26311-0.0131103
17832.601130.398867
1792.252.192710.0572926
1801.51.80114-0.301142
18132.360330.639674
1821.52.15414-0.654142
18332.749630.250367
18432.248610.751391
18531.971821.02818
18632.255670.744328
1872.251.899970.350028
1882.251.987680.262319
1890.751.51696-0.766957
19031.955891.04411
1910.751.76689-1.01689
1921.52.12543-0.625427
1931.51.69925-0.199252
19432.104950.895052
1951.51.89449-0.394488
1962.252.234290.0157057
19732.702310.297689
19832.172730.82727
1991.51.7466-0.246603
20032.070650.929345
20132.841950.158055
2021.51.83474-0.334736
2031.52.14071-0.640715
2042.252.34816-0.0981583
2051.51.88116-0.381159
2061.51.70273-0.202731
2072.252.027220.222777
2081.51.69141-0.19141
20932.721330.27867
21032.300750.699252
2110.751.60736-0.857361
2121.52.08625-0.58625
2131.52.44246-0.942463
2142.252.30718-0.0571826
2152.252.79491-0.544915
2161.52.08725-0.587253
2172.252.072610.177387
2182.252.38473-0.134733
2190.751.81597-1.06597
2202.252.43971-0.189709
22132.4830.517005
2220.751.89086-1.14086
2230.751.81292-1.06292
22431.797151.20285
22532.614280.385719
22631.780781.21922
22732.067640.932363
2281.51.9478-0.447796
22932.548620.451376
23032.40650.593499
23132.099220.900777
23232.817470.182526
2331.51.83884-0.338839
2342.252.110840.139156
2350.751.7973-1.0473
2360.751.68004-0.930042
2372.251.571160.67884
23832.495050.504951
2392.252.09130.158697
24031.797811.20219
2412.252.36053-0.110529
24232.12280.877203
2431.51.86158-0.361578
24432.529540.470462
2450.751.79151-1.04151
2461.52.43749-0.937491
24732.68970.310296
24831.943271.05673
24932.488680.511324
2502.252.052040.197955
2512.251.925180.324817
25232.275210.724792
2531.52.31204-0.812045
2542.252.168820.0811758
2552.252.226620.0233834
2562.252.46526-0.215264
2570.751.59846-0.848462
2582.252.184620.0653839
2591.51.96012-0.460116
2602.251.886710.363291
2611.51.56246-0.0624601
2620.751.90945-1.15945
2631.51.958-0.457997
2641.51.86158-0.361578
2652.252.26608-0.0160847
2661.52.00999-0.509986
2671.52.00493-0.50493
26831.855851.14415
2692.251.998950.251051
2701.51.65116-0.151156
2710.751.82375-1.07375
2722.251.71540.534601
27332.258230.741765
27432.597740.402256
2751.52.1023-0.602295
2761.52.08031-0.580312
2772.252.34631-0.0963139
2780.751.5866-0.836601






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
80.0002728310.0005456620.999727
92.38652e-054.77303e-050.999976
101.4352e-062.87041e-060.999999
117.11022e-081.42204e-071
121.23353e-082.46706e-081
131.12238e-092.24476e-091
143.16184e-106.32368e-101
151.92617e-113.85234e-111
162.51482e-115.02964e-111
172.07037e-124.14074e-121
181.48948e-132.97897e-131
192.22706e-144.45411e-141
201.55957e-153.11914e-151
213.14249e-136.28498e-131
224.01111e-148.02222e-141
231.14296e-142.28593e-141
242.6399e-105.27981e-101
255.43299e-111.0866e-101
261.46945e-112.9389e-111
271.90653e-103.81306e-101
284.7173e-119.4346e-111
291.31561e-112.63122e-111
303.15271e-126.30542e-121
319.62635e-131.92527e-121
322.45844e-134.91687e-131
335.38905e-141.07781e-131
348.32986e-141.66597e-131
352.07158e-144.14316e-141
363.2909e-146.58179e-141
378.893e-151.7786e-141
387.49551e-151.4991e-141
391.87486e-153.74972e-151
404.63492e-169.26983e-161
411.50103e-163.00206e-161
421.41441e-162.82882e-161
433.34134e-176.68268e-171
447.84477e-181.56895e-171
451.95399e-183.90799e-181
464.78055e-199.56111e-191
471.0728e-192.14559e-191
482.45036e-204.90071e-201
491.3689e-202.73781e-201
505.66846e-211.13369e-201
517.61637e-211.52327e-201
522.55242e-215.10484e-211
536.10128e-221.22026e-211
547.36819e-221.47364e-211
552.07355e-224.14709e-221
565.4418e-231.08836e-221
571.36285e-232.72571e-231
583.03788e-246.07576e-241
591.03669e-242.07338e-241
605.95321e-251.19064e-241
611.37481e-252.74961e-251
623.02936e-266.05873e-261
636.58539e-271.31708e-261
641.51272e-273.02543e-271
653.73736e-287.47473e-281
668.5916e-291.71832e-281
671.93907e-293.87813e-291
685.70722e-301.14144e-291
691.25603e-302.51206e-301
706.87705e-311.37541e-301
711.63624e-313.27249e-311
723.56711e-327.13422e-321
738.73117e-331.74623e-321
741.84719e-333.69439e-331
754.04982e-348.09964e-341
768.97653e-351.79531e-341
774.65018e-359.30037e-351
781.05229e-352.10458e-351
793.01739e-366.03478e-361
805.93754e-371.18751e-361
813.70229e-377.40458e-371
827.1958e-381.43916e-371
833.49207e-386.98415e-381
842.76393e-305.52786e-301
852.05029e-304.10058e-301
865.74231e-311.14846e-301
871.50875e-313.01751e-311
884.82663e-329.65325e-321
891.24969e-322.49939e-321
903.66288e-337.32576e-331
918.98522e-341.79704e-331
923.67644e-347.35288e-341
931.09105e-342.18211e-341
944.01385e-358.0277e-351
951.10186e-352.20372e-351
965.2377e-361.04754e-351
972.64872e-305.29744e-301
987.62176e-311.52435e-301
992.11836e-314.23672e-311
1005.96057e-321.19211e-311
1011.82868e-323.65736e-321
1021.05844e-322.11687e-321
1037.10823e-331.42165e-321
1044.43889e-338.87778e-331
1051.21286e-332.42573e-331
1063.5903e-347.1806e-341
1072.2376e-344.47521e-341
1087.52779e-331.50556e-321
1092.4715e-334.943e-331
1106.94782e-341.38956e-331
1114.10681e-348.21363e-341
1121.17504e-342.35008e-341
1131.94019e-293.88039e-291
1141.80784e-293.61568e-291
1157.79744e-261.55949e-251
1163.26905e-266.53809e-261
1174.13703e-258.27405e-251
1181.86085e-253.72171e-251
1191.03947e-252.07893e-251
1203.21819e-256.43638e-251
1211.51466e-253.02931e-251
1225.16442e-231.03288e-221
1231.2824e-222.5648e-221
1244.54745e-229.0949e-221
1256.17542e-211.23508e-201
1261.45907e-202.91813e-201
1276.43345e-211.28669e-201
1284.4144e-218.8288e-211
1295.37289e-211.07458e-201
1306.75438e-211.35088e-201
1318.21352e-211.6427e-201
1322.75496e-205.50991e-201
1339.04549e-201.8091e-191
1343.93023e-207.86046e-201
1353.50284e-207.00568e-201
1361.56243e-203.12485e-201
1379.24913e-211.84983e-201
1381.25597e-172.51195e-171
1391.26584e-172.53168e-171
1408.51037e-181.70207e-171
1415.45044e-181.09009e-171
1426.49279e-161.29856e-151
1432.21947e-154.43895e-151
1441.21853e-152.43706e-151
1456.45304e-161.29061e-151
1463.66851e-167.33701e-161
1475.62995e-151.12599e-141
1482.92405e-155.8481e-151
1493.31077e-156.62154e-151
1504.84235e-159.68469e-151
1513.59717e-147.19435e-141
1521.93836e-143.87671e-141
1533.483e-146.966e-141
1543.02446e-146.04893e-141
1552.84298e-145.68597e-141
1561.51404e-143.02808e-141
1571.74806e-143.49611e-141
1586.69973e-141.33995e-131
1597.32625e-141.46525e-131
1608.54704e-141.70941e-131
1614.67168e-149.34337e-141
1626.47967e-141.29593e-131
1631.34596e-132.69192e-131
1643.69884e-117.39767e-111
1653.78948e-117.57896e-111
1662.70506e-115.41012e-111
1672.08253e-114.16505e-111
1681.2917e-112.5834e-111
1697.36012e-121.47202e-111
1704.01618e-128.03237e-121
1712.24324e-124.48647e-121
1728.13964e-121.62793e-111
1731.96619e-113.93238e-111
1741.26153e-112.52305e-111
1758.27107e-121.65421e-111
1762.39758e-114.79517e-111
1771.34244e-112.68489e-111
1781.27626e-112.55251e-111
1797.25317e-121.45063e-111
1805.68757e-121.13751e-111
1818.50346e-121.70069e-111
1821.61605e-113.2321e-111
1831.14786e-112.29573e-111
1842.77741e-115.55481e-111
1852.39915e-104.79831e-101
1864.98554e-109.97107e-101
1873.89526e-107.79053e-101
1882.62813e-105.25625e-101
1896.37426e-101.27485e-091
1905.66329e-091.13266e-081
1913.00396e-086.00793e-081
1924.10114e-088.20229e-081
1932.74991e-085.49982e-081
1948.51488e-081.70298e-071
1956.96175e-081.39235e-071
1964.28524e-088.57047e-081
1973.01139e-086.02278e-081
1987.7504e-081.55008e-071
1995.36143e-081.07229e-071
2001.83294e-073.66589e-071
2011.38972e-072.77944e-071
2021.02655e-072.0531e-071
2031.53129e-073.06257e-071
2049.60703e-081.92141e-071
2057.89527e-081.57905e-071
2065.23275e-081.04655e-071
2074.24621e-088.49242e-081
2082.81619e-085.63238e-081
2091.85354e-083.70708e-081
2103.1032e-086.2064e-081
2115.70156e-081.14031e-071
2128.82404e-081.76481e-071
2133.0173e-076.0346e-071
2141.85249e-073.70498e-071
2152.98753e-075.97506e-071
2163.49632e-076.99263e-071
2172.2657e-074.5314e-071
2181.95148e-073.90295e-071
2196.24014e-071.24803e-060.999999
2204.26593e-078.53186e-071
2213.4234e-076.8468e-071
2221.34213e-062.68425e-060.999999
2236.71212e-061.34242e-050.999993
2243.43204e-056.86409e-050.999966
2252.46227e-054.92454e-050.999975
2260.0002875620.0005751240.999712
2270.0006153060.001230610.999385
2280.0005601260.001120250.99944
2290.0004546360.0009092730.999545
2300.0004358290.0008716580.999564
2310.0006972830.001394570.999303
2320.000495530.0009910590.999504
2330.0003576970.0007153940.999642
2340.0002405650.0004811310.999759
2350.0004815430.0009630870.999518
2360.0007125730.001425150.999287
2370.001609840.003219670.99839
2380.001257930.002515850.998742
2390.0009263540.001852710.999074
2400.006741170.01348230.993259
2410.00481880.009637610.995181
2420.01425960.02851920.98574
2430.01133890.02267790.988661
2440.008584820.01716960.991415
2450.01597860.03195710.984021
2460.03833110.07666220.961669
2470.02883760.05767520.971162
2480.0656840.1313680.934316
2490.06319470.1263890.936805
2500.05424360.1084870.945756
2510.05554770.1110950.944452
2520.08056620.1611320.919434
2530.1031930.2063860.896807
2540.0791250.158250.920875
2550.06295890.1259180.937041
2560.05890260.1178050.941097
2570.05453930.1090790.945461
2580.0447090.08941790.955291
2590.08901290.1780260.910987
2600.06731120.1346220.932689
2610.04620340.09240690.953797
2620.1036610.2073230.896339
2630.2473210.4946430.752679
2640.3858070.7716140.614193
2650.2954670.5909340.704533
2660.2152730.4305450.784727
2670.170210.3404190.82979
2680.1326450.265290.867355
2690.3280260.6560530.671974
2700.2072220.4144440.792778

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
8 & 0.000272831 & 0.000545662 & 0.999727 \tabularnewline
9 & 2.38652e-05 & 4.77303e-05 & 0.999976 \tabularnewline
10 & 1.4352e-06 & 2.87041e-06 & 0.999999 \tabularnewline
11 & 7.11022e-08 & 1.42204e-07 & 1 \tabularnewline
12 & 1.23353e-08 & 2.46706e-08 & 1 \tabularnewline
13 & 1.12238e-09 & 2.24476e-09 & 1 \tabularnewline
14 & 3.16184e-10 & 6.32368e-10 & 1 \tabularnewline
15 & 1.92617e-11 & 3.85234e-11 & 1 \tabularnewline
16 & 2.51482e-11 & 5.02964e-11 & 1 \tabularnewline
17 & 2.07037e-12 & 4.14074e-12 & 1 \tabularnewline
18 & 1.48948e-13 & 2.97897e-13 & 1 \tabularnewline
19 & 2.22706e-14 & 4.45411e-14 & 1 \tabularnewline
20 & 1.55957e-15 & 3.11914e-15 & 1 \tabularnewline
21 & 3.14249e-13 & 6.28498e-13 & 1 \tabularnewline
22 & 4.01111e-14 & 8.02222e-14 & 1 \tabularnewline
23 & 1.14296e-14 & 2.28593e-14 & 1 \tabularnewline
24 & 2.6399e-10 & 5.27981e-10 & 1 \tabularnewline
25 & 5.43299e-11 & 1.0866e-10 & 1 \tabularnewline
26 & 1.46945e-11 & 2.9389e-11 & 1 \tabularnewline
27 & 1.90653e-10 & 3.81306e-10 & 1 \tabularnewline
28 & 4.7173e-11 & 9.4346e-11 & 1 \tabularnewline
29 & 1.31561e-11 & 2.63122e-11 & 1 \tabularnewline
30 & 3.15271e-12 & 6.30542e-12 & 1 \tabularnewline
31 & 9.62635e-13 & 1.92527e-12 & 1 \tabularnewline
32 & 2.45844e-13 & 4.91687e-13 & 1 \tabularnewline
33 & 5.38905e-14 & 1.07781e-13 & 1 \tabularnewline
34 & 8.32986e-14 & 1.66597e-13 & 1 \tabularnewline
35 & 2.07158e-14 & 4.14316e-14 & 1 \tabularnewline
36 & 3.2909e-14 & 6.58179e-14 & 1 \tabularnewline
37 & 8.893e-15 & 1.7786e-14 & 1 \tabularnewline
38 & 7.49551e-15 & 1.4991e-14 & 1 \tabularnewline
39 & 1.87486e-15 & 3.74972e-15 & 1 \tabularnewline
40 & 4.63492e-16 & 9.26983e-16 & 1 \tabularnewline
41 & 1.50103e-16 & 3.00206e-16 & 1 \tabularnewline
42 & 1.41441e-16 & 2.82882e-16 & 1 \tabularnewline
43 & 3.34134e-17 & 6.68268e-17 & 1 \tabularnewline
44 & 7.84477e-18 & 1.56895e-17 & 1 \tabularnewline
45 & 1.95399e-18 & 3.90799e-18 & 1 \tabularnewline
46 & 4.78055e-19 & 9.56111e-19 & 1 \tabularnewline
47 & 1.0728e-19 & 2.14559e-19 & 1 \tabularnewline
48 & 2.45036e-20 & 4.90071e-20 & 1 \tabularnewline
49 & 1.3689e-20 & 2.73781e-20 & 1 \tabularnewline
50 & 5.66846e-21 & 1.13369e-20 & 1 \tabularnewline
51 & 7.61637e-21 & 1.52327e-20 & 1 \tabularnewline
52 & 2.55242e-21 & 5.10484e-21 & 1 \tabularnewline
53 & 6.10128e-22 & 1.22026e-21 & 1 \tabularnewline
54 & 7.36819e-22 & 1.47364e-21 & 1 \tabularnewline
55 & 2.07355e-22 & 4.14709e-22 & 1 \tabularnewline
56 & 5.4418e-23 & 1.08836e-22 & 1 \tabularnewline
57 & 1.36285e-23 & 2.72571e-23 & 1 \tabularnewline
58 & 3.03788e-24 & 6.07576e-24 & 1 \tabularnewline
59 & 1.03669e-24 & 2.07338e-24 & 1 \tabularnewline
60 & 5.95321e-25 & 1.19064e-24 & 1 \tabularnewline
61 & 1.37481e-25 & 2.74961e-25 & 1 \tabularnewline
62 & 3.02936e-26 & 6.05873e-26 & 1 \tabularnewline
63 & 6.58539e-27 & 1.31708e-26 & 1 \tabularnewline
64 & 1.51272e-27 & 3.02543e-27 & 1 \tabularnewline
65 & 3.73736e-28 & 7.47473e-28 & 1 \tabularnewline
66 & 8.5916e-29 & 1.71832e-28 & 1 \tabularnewline
67 & 1.93907e-29 & 3.87813e-29 & 1 \tabularnewline
68 & 5.70722e-30 & 1.14144e-29 & 1 \tabularnewline
69 & 1.25603e-30 & 2.51206e-30 & 1 \tabularnewline
70 & 6.87705e-31 & 1.37541e-30 & 1 \tabularnewline
71 & 1.63624e-31 & 3.27249e-31 & 1 \tabularnewline
72 & 3.56711e-32 & 7.13422e-32 & 1 \tabularnewline
73 & 8.73117e-33 & 1.74623e-32 & 1 \tabularnewline
74 & 1.84719e-33 & 3.69439e-33 & 1 \tabularnewline
75 & 4.04982e-34 & 8.09964e-34 & 1 \tabularnewline
76 & 8.97653e-35 & 1.79531e-34 & 1 \tabularnewline
77 & 4.65018e-35 & 9.30037e-35 & 1 \tabularnewline
78 & 1.05229e-35 & 2.10458e-35 & 1 \tabularnewline
79 & 3.01739e-36 & 6.03478e-36 & 1 \tabularnewline
80 & 5.93754e-37 & 1.18751e-36 & 1 \tabularnewline
81 & 3.70229e-37 & 7.40458e-37 & 1 \tabularnewline
82 & 7.1958e-38 & 1.43916e-37 & 1 \tabularnewline
83 & 3.49207e-38 & 6.98415e-38 & 1 \tabularnewline
84 & 2.76393e-30 & 5.52786e-30 & 1 \tabularnewline
85 & 2.05029e-30 & 4.10058e-30 & 1 \tabularnewline
86 & 5.74231e-31 & 1.14846e-30 & 1 \tabularnewline
87 & 1.50875e-31 & 3.01751e-31 & 1 \tabularnewline
88 & 4.82663e-32 & 9.65325e-32 & 1 \tabularnewline
89 & 1.24969e-32 & 2.49939e-32 & 1 \tabularnewline
90 & 3.66288e-33 & 7.32576e-33 & 1 \tabularnewline
91 & 8.98522e-34 & 1.79704e-33 & 1 \tabularnewline
92 & 3.67644e-34 & 7.35288e-34 & 1 \tabularnewline
93 & 1.09105e-34 & 2.18211e-34 & 1 \tabularnewline
94 & 4.01385e-35 & 8.0277e-35 & 1 \tabularnewline
95 & 1.10186e-35 & 2.20372e-35 & 1 \tabularnewline
96 & 5.2377e-36 & 1.04754e-35 & 1 \tabularnewline
97 & 2.64872e-30 & 5.29744e-30 & 1 \tabularnewline
98 & 7.62176e-31 & 1.52435e-30 & 1 \tabularnewline
99 & 2.11836e-31 & 4.23672e-31 & 1 \tabularnewline
100 & 5.96057e-32 & 1.19211e-31 & 1 \tabularnewline
101 & 1.82868e-32 & 3.65736e-32 & 1 \tabularnewline
102 & 1.05844e-32 & 2.11687e-32 & 1 \tabularnewline
103 & 7.10823e-33 & 1.42165e-32 & 1 \tabularnewline
104 & 4.43889e-33 & 8.87778e-33 & 1 \tabularnewline
105 & 1.21286e-33 & 2.42573e-33 & 1 \tabularnewline
106 & 3.5903e-34 & 7.1806e-34 & 1 \tabularnewline
107 & 2.2376e-34 & 4.47521e-34 & 1 \tabularnewline
108 & 7.52779e-33 & 1.50556e-32 & 1 \tabularnewline
109 & 2.4715e-33 & 4.943e-33 & 1 \tabularnewline
110 & 6.94782e-34 & 1.38956e-33 & 1 \tabularnewline
111 & 4.10681e-34 & 8.21363e-34 & 1 \tabularnewline
112 & 1.17504e-34 & 2.35008e-34 & 1 \tabularnewline
113 & 1.94019e-29 & 3.88039e-29 & 1 \tabularnewline
114 & 1.80784e-29 & 3.61568e-29 & 1 \tabularnewline
115 & 7.79744e-26 & 1.55949e-25 & 1 \tabularnewline
116 & 3.26905e-26 & 6.53809e-26 & 1 \tabularnewline
117 & 4.13703e-25 & 8.27405e-25 & 1 \tabularnewline
118 & 1.86085e-25 & 3.72171e-25 & 1 \tabularnewline
119 & 1.03947e-25 & 2.07893e-25 & 1 \tabularnewline
120 & 3.21819e-25 & 6.43638e-25 & 1 \tabularnewline
121 & 1.51466e-25 & 3.02931e-25 & 1 \tabularnewline
122 & 5.16442e-23 & 1.03288e-22 & 1 \tabularnewline
123 & 1.2824e-22 & 2.5648e-22 & 1 \tabularnewline
124 & 4.54745e-22 & 9.0949e-22 & 1 \tabularnewline
125 & 6.17542e-21 & 1.23508e-20 & 1 \tabularnewline
126 & 1.45907e-20 & 2.91813e-20 & 1 \tabularnewline
127 & 6.43345e-21 & 1.28669e-20 & 1 \tabularnewline
128 & 4.4144e-21 & 8.8288e-21 & 1 \tabularnewline
129 & 5.37289e-21 & 1.07458e-20 & 1 \tabularnewline
130 & 6.75438e-21 & 1.35088e-20 & 1 \tabularnewline
131 & 8.21352e-21 & 1.6427e-20 & 1 \tabularnewline
132 & 2.75496e-20 & 5.50991e-20 & 1 \tabularnewline
133 & 9.04549e-20 & 1.8091e-19 & 1 \tabularnewline
134 & 3.93023e-20 & 7.86046e-20 & 1 \tabularnewline
135 & 3.50284e-20 & 7.00568e-20 & 1 \tabularnewline
136 & 1.56243e-20 & 3.12485e-20 & 1 \tabularnewline
137 & 9.24913e-21 & 1.84983e-20 & 1 \tabularnewline
138 & 1.25597e-17 & 2.51195e-17 & 1 \tabularnewline
139 & 1.26584e-17 & 2.53168e-17 & 1 \tabularnewline
140 & 8.51037e-18 & 1.70207e-17 & 1 \tabularnewline
141 & 5.45044e-18 & 1.09009e-17 & 1 \tabularnewline
142 & 6.49279e-16 & 1.29856e-15 & 1 \tabularnewline
143 & 2.21947e-15 & 4.43895e-15 & 1 \tabularnewline
144 & 1.21853e-15 & 2.43706e-15 & 1 \tabularnewline
145 & 6.45304e-16 & 1.29061e-15 & 1 \tabularnewline
146 & 3.66851e-16 & 7.33701e-16 & 1 \tabularnewline
147 & 5.62995e-15 & 1.12599e-14 & 1 \tabularnewline
148 & 2.92405e-15 & 5.8481e-15 & 1 \tabularnewline
149 & 3.31077e-15 & 6.62154e-15 & 1 \tabularnewline
150 & 4.84235e-15 & 9.68469e-15 & 1 \tabularnewline
151 & 3.59717e-14 & 7.19435e-14 & 1 \tabularnewline
152 & 1.93836e-14 & 3.87671e-14 & 1 \tabularnewline
153 & 3.483e-14 & 6.966e-14 & 1 \tabularnewline
154 & 3.02446e-14 & 6.04893e-14 & 1 \tabularnewline
155 & 2.84298e-14 & 5.68597e-14 & 1 \tabularnewline
156 & 1.51404e-14 & 3.02808e-14 & 1 \tabularnewline
157 & 1.74806e-14 & 3.49611e-14 & 1 \tabularnewline
158 & 6.69973e-14 & 1.33995e-13 & 1 \tabularnewline
159 & 7.32625e-14 & 1.46525e-13 & 1 \tabularnewline
160 & 8.54704e-14 & 1.70941e-13 & 1 \tabularnewline
161 & 4.67168e-14 & 9.34337e-14 & 1 \tabularnewline
162 & 6.47967e-14 & 1.29593e-13 & 1 \tabularnewline
163 & 1.34596e-13 & 2.69192e-13 & 1 \tabularnewline
164 & 3.69884e-11 & 7.39767e-11 & 1 \tabularnewline
165 & 3.78948e-11 & 7.57896e-11 & 1 \tabularnewline
166 & 2.70506e-11 & 5.41012e-11 & 1 \tabularnewline
167 & 2.08253e-11 & 4.16505e-11 & 1 \tabularnewline
168 & 1.2917e-11 & 2.5834e-11 & 1 \tabularnewline
169 & 7.36012e-12 & 1.47202e-11 & 1 \tabularnewline
170 & 4.01618e-12 & 8.03237e-12 & 1 \tabularnewline
171 & 2.24324e-12 & 4.48647e-12 & 1 \tabularnewline
172 & 8.13964e-12 & 1.62793e-11 & 1 \tabularnewline
173 & 1.96619e-11 & 3.93238e-11 & 1 \tabularnewline
174 & 1.26153e-11 & 2.52305e-11 & 1 \tabularnewline
175 & 8.27107e-12 & 1.65421e-11 & 1 \tabularnewline
176 & 2.39758e-11 & 4.79517e-11 & 1 \tabularnewline
177 & 1.34244e-11 & 2.68489e-11 & 1 \tabularnewline
178 & 1.27626e-11 & 2.55251e-11 & 1 \tabularnewline
179 & 7.25317e-12 & 1.45063e-11 & 1 \tabularnewline
180 & 5.68757e-12 & 1.13751e-11 & 1 \tabularnewline
181 & 8.50346e-12 & 1.70069e-11 & 1 \tabularnewline
182 & 1.61605e-11 & 3.2321e-11 & 1 \tabularnewline
183 & 1.14786e-11 & 2.29573e-11 & 1 \tabularnewline
184 & 2.77741e-11 & 5.55481e-11 & 1 \tabularnewline
185 & 2.39915e-10 & 4.79831e-10 & 1 \tabularnewline
186 & 4.98554e-10 & 9.97107e-10 & 1 \tabularnewline
187 & 3.89526e-10 & 7.79053e-10 & 1 \tabularnewline
188 & 2.62813e-10 & 5.25625e-10 & 1 \tabularnewline
189 & 6.37426e-10 & 1.27485e-09 & 1 \tabularnewline
190 & 5.66329e-09 & 1.13266e-08 & 1 \tabularnewline
191 & 3.00396e-08 & 6.00793e-08 & 1 \tabularnewline
192 & 4.10114e-08 & 8.20229e-08 & 1 \tabularnewline
193 & 2.74991e-08 & 5.49982e-08 & 1 \tabularnewline
194 & 8.51488e-08 & 1.70298e-07 & 1 \tabularnewline
195 & 6.96175e-08 & 1.39235e-07 & 1 \tabularnewline
196 & 4.28524e-08 & 8.57047e-08 & 1 \tabularnewline
197 & 3.01139e-08 & 6.02278e-08 & 1 \tabularnewline
198 & 7.7504e-08 & 1.55008e-07 & 1 \tabularnewline
199 & 5.36143e-08 & 1.07229e-07 & 1 \tabularnewline
200 & 1.83294e-07 & 3.66589e-07 & 1 \tabularnewline
201 & 1.38972e-07 & 2.77944e-07 & 1 \tabularnewline
202 & 1.02655e-07 & 2.0531e-07 & 1 \tabularnewline
203 & 1.53129e-07 & 3.06257e-07 & 1 \tabularnewline
204 & 9.60703e-08 & 1.92141e-07 & 1 \tabularnewline
205 & 7.89527e-08 & 1.57905e-07 & 1 \tabularnewline
206 & 5.23275e-08 & 1.04655e-07 & 1 \tabularnewline
207 & 4.24621e-08 & 8.49242e-08 & 1 \tabularnewline
208 & 2.81619e-08 & 5.63238e-08 & 1 \tabularnewline
209 & 1.85354e-08 & 3.70708e-08 & 1 \tabularnewline
210 & 3.1032e-08 & 6.2064e-08 & 1 \tabularnewline
211 & 5.70156e-08 & 1.14031e-07 & 1 \tabularnewline
212 & 8.82404e-08 & 1.76481e-07 & 1 \tabularnewline
213 & 3.0173e-07 & 6.0346e-07 & 1 \tabularnewline
214 & 1.85249e-07 & 3.70498e-07 & 1 \tabularnewline
215 & 2.98753e-07 & 5.97506e-07 & 1 \tabularnewline
216 & 3.49632e-07 & 6.99263e-07 & 1 \tabularnewline
217 & 2.2657e-07 & 4.5314e-07 & 1 \tabularnewline
218 & 1.95148e-07 & 3.90295e-07 & 1 \tabularnewline
219 & 6.24014e-07 & 1.24803e-06 & 0.999999 \tabularnewline
220 & 4.26593e-07 & 8.53186e-07 & 1 \tabularnewline
221 & 3.4234e-07 & 6.8468e-07 & 1 \tabularnewline
222 & 1.34213e-06 & 2.68425e-06 & 0.999999 \tabularnewline
223 & 6.71212e-06 & 1.34242e-05 & 0.999993 \tabularnewline
224 & 3.43204e-05 & 6.86409e-05 & 0.999966 \tabularnewline
225 & 2.46227e-05 & 4.92454e-05 & 0.999975 \tabularnewline
226 & 0.000287562 & 0.000575124 & 0.999712 \tabularnewline
227 & 0.000615306 & 0.00123061 & 0.999385 \tabularnewline
228 & 0.000560126 & 0.00112025 & 0.99944 \tabularnewline
229 & 0.000454636 & 0.000909273 & 0.999545 \tabularnewline
230 & 0.000435829 & 0.000871658 & 0.999564 \tabularnewline
231 & 0.000697283 & 0.00139457 & 0.999303 \tabularnewline
232 & 0.00049553 & 0.000991059 & 0.999504 \tabularnewline
233 & 0.000357697 & 0.000715394 & 0.999642 \tabularnewline
234 & 0.000240565 & 0.000481131 & 0.999759 \tabularnewline
235 & 0.000481543 & 0.000963087 & 0.999518 \tabularnewline
236 & 0.000712573 & 0.00142515 & 0.999287 \tabularnewline
237 & 0.00160984 & 0.00321967 & 0.99839 \tabularnewline
238 & 0.00125793 & 0.00251585 & 0.998742 \tabularnewline
239 & 0.000926354 & 0.00185271 & 0.999074 \tabularnewline
240 & 0.00674117 & 0.0134823 & 0.993259 \tabularnewline
241 & 0.0048188 & 0.00963761 & 0.995181 \tabularnewline
242 & 0.0142596 & 0.0285192 & 0.98574 \tabularnewline
243 & 0.0113389 & 0.0226779 & 0.988661 \tabularnewline
244 & 0.00858482 & 0.0171696 & 0.991415 \tabularnewline
245 & 0.0159786 & 0.0319571 & 0.984021 \tabularnewline
246 & 0.0383311 & 0.0766622 & 0.961669 \tabularnewline
247 & 0.0288376 & 0.0576752 & 0.971162 \tabularnewline
248 & 0.065684 & 0.131368 & 0.934316 \tabularnewline
249 & 0.0631947 & 0.126389 & 0.936805 \tabularnewline
250 & 0.0542436 & 0.108487 & 0.945756 \tabularnewline
251 & 0.0555477 & 0.111095 & 0.944452 \tabularnewline
252 & 0.0805662 & 0.161132 & 0.919434 \tabularnewline
253 & 0.103193 & 0.206386 & 0.896807 \tabularnewline
254 & 0.079125 & 0.15825 & 0.920875 \tabularnewline
255 & 0.0629589 & 0.125918 & 0.937041 \tabularnewline
256 & 0.0589026 & 0.117805 & 0.941097 \tabularnewline
257 & 0.0545393 & 0.109079 & 0.945461 \tabularnewline
258 & 0.044709 & 0.0894179 & 0.955291 \tabularnewline
259 & 0.0890129 & 0.178026 & 0.910987 \tabularnewline
260 & 0.0673112 & 0.134622 & 0.932689 \tabularnewline
261 & 0.0462034 & 0.0924069 & 0.953797 \tabularnewline
262 & 0.103661 & 0.207323 & 0.896339 \tabularnewline
263 & 0.247321 & 0.494643 & 0.752679 \tabularnewline
264 & 0.385807 & 0.771614 & 0.614193 \tabularnewline
265 & 0.295467 & 0.590934 & 0.704533 \tabularnewline
266 & 0.215273 & 0.430545 & 0.784727 \tabularnewline
267 & 0.17021 & 0.340419 & 0.82979 \tabularnewline
268 & 0.132645 & 0.26529 & 0.867355 \tabularnewline
269 & 0.328026 & 0.656053 & 0.671974 \tabularnewline
270 & 0.207222 & 0.414444 & 0.792778 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266996&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]0.000272831[/C][C]0.000545662[/C][C]0.999727[/C][/ROW]
[ROW][C]9[/C][C]2.38652e-05[/C][C]4.77303e-05[/C][C]0.999976[/C][/ROW]
[ROW][C]10[/C][C]1.4352e-06[/C][C]2.87041e-06[/C][C]0.999999[/C][/ROW]
[ROW][C]11[/C][C]7.11022e-08[/C][C]1.42204e-07[/C][C]1[/C][/ROW]
[ROW][C]12[/C][C]1.23353e-08[/C][C]2.46706e-08[/C][C]1[/C][/ROW]
[ROW][C]13[/C][C]1.12238e-09[/C][C]2.24476e-09[/C][C]1[/C][/ROW]
[ROW][C]14[/C][C]3.16184e-10[/C][C]6.32368e-10[/C][C]1[/C][/ROW]
[ROW][C]15[/C][C]1.92617e-11[/C][C]3.85234e-11[/C][C]1[/C][/ROW]
[ROW][C]16[/C][C]2.51482e-11[/C][C]5.02964e-11[/C][C]1[/C][/ROW]
[ROW][C]17[/C][C]2.07037e-12[/C][C]4.14074e-12[/C][C]1[/C][/ROW]
[ROW][C]18[/C][C]1.48948e-13[/C][C]2.97897e-13[/C][C]1[/C][/ROW]
[ROW][C]19[/C][C]2.22706e-14[/C][C]4.45411e-14[/C][C]1[/C][/ROW]
[ROW][C]20[/C][C]1.55957e-15[/C][C]3.11914e-15[/C][C]1[/C][/ROW]
[ROW][C]21[/C][C]3.14249e-13[/C][C]6.28498e-13[/C][C]1[/C][/ROW]
[ROW][C]22[/C][C]4.01111e-14[/C][C]8.02222e-14[/C][C]1[/C][/ROW]
[ROW][C]23[/C][C]1.14296e-14[/C][C]2.28593e-14[/C][C]1[/C][/ROW]
[ROW][C]24[/C][C]2.6399e-10[/C][C]5.27981e-10[/C][C]1[/C][/ROW]
[ROW][C]25[/C][C]5.43299e-11[/C][C]1.0866e-10[/C][C]1[/C][/ROW]
[ROW][C]26[/C][C]1.46945e-11[/C][C]2.9389e-11[/C][C]1[/C][/ROW]
[ROW][C]27[/C][C]1.90653e-10[/C][C]3.81306e-10[/C][C]1[/C][/ROW]
[ROW][C]28[/C][C]4.7173e-11[/C][C]9.4346e-11[/C][C]1[/C][/ROW]
[ROW][C]29[/C][C]1.31561e-11[/C][C]2.63122e-11[/C][C]1[/C][/ROW]
[ROW][C]30[/C][C]3.15271e-12[/C][C]6.30542e-12[/C][C]1[/C][/ROW]
[ROW][C]31[/C][C]9.62635e-13[/C][C]1.92527e-12[/C][C]1[/C][/ROW]
[ROW][C]32[/C][C]2.45844e-13[/C][C]4.91687e-13[/C][C]1[/C][/ROW]
[ROW][C]33[/C][C]5.38905e-14[/C][C]1.07781e-13[/C][C]1[/C][/ROW]
[ROW][C]34[/C][C]8.32986e-14[/C][C]1.66597e-13[/C][C]1[/C][/ROW]
[ROW][C]35[/C][C]2.07158e-14[/C][C]4.14316e-14[/C][C]1[/C][/ROW]
[ROW][C]36[/C][C]3.2909e-14[/C][C]6.58179e-14[/C][C]1[/C][/ROW]
[ROW][C]37[/C][C]8.893e-15[/C][C]1.7786e-14[/C][C]1[/C][/ROW]
[ROW][C]38[/C][C]7.49551e-15[/C][C]1.4991e-14[/C][C]1[/C][/ROW]
[ROW][C]39[/C][C]1.87486e-15[/C][C]3.74972e-15[/C][C]1[/C][/ROW]
[ROW][C]40[/C][C]4.63492e-16[/C][C]9.26983e-16[/C][C]1[/C][/ROW]
[ROW][C]41[/C][C]1.50103e-16[/C][C]3.00206e-16[/C][C]1[/C][/ROW]
[ROW][C]42[/C][C]1.41441e-16[/C][C]2.82882e-16[/C][C]1[/C][/ROW]
[ROW][C]43[/C][C]3.34134e-17[/C][C]6.68268e-17[/C][C]1[/C][/ROW]
[ROW][C]44[/C][C]7.84477e-18[/C][C]1.56895e-17[/C][C]1[/C][/ROW]
[ROW][C]45[/C][C]1.95399e-18[/C][C]3.90799e-18[/C][C]1[/C][/ROW]
[ROW][C]46[/C][C]4.78055e-19[/C][C]9.56111e-19[/C][C]1[/C][/ROW]
[ROW][C]47[/C][C]1.0728e-19[/C][C]2.14559e-19[/C][C]1[/C][/ROW]
[ROW][C]48[/C][C]2.45036e-20[/C][C]4.90071e-20[/C][C]1[/C][/ROW]
[ROW][C]49[/C][C]1.3689e-20[/C][C]2.73781e-20[/C][C]1[/C][/ROW]
[ROW][C]50[/C][C]5.66846e-21[/C][C]1.13369e-20[/C][C]1[/C][/ROW]
[ROW][C]51[/C][C]7.61637e-21[/C][C]1.52327e-20[/C][C]1[/C][/ROW]
[ROW][C]52[/C][C]2.55242e-21[/C][C]5.10484e-21[/C][C]1[/C][/ROW]
[ROW][C]53[/C][C]6.10128e-22[/C][C]1.22026e-21[/C][C]1[/C][/ROW]
[ROW][C]54[/C][C]7.36819e-22[/C][C]1.47364e-21[/C][C]1[/C][/ROW]
[ROW][C]55[/C][C]2.07355e-22[/C][C]4.14709e-22[/C][C]1[/C][/ROW]
[ROW][C]56[/C][C]5.4418e-23[/C][C]1.08836e-22[/C][C]1[/C][/ROW]
[ROW][C]57[/C][C]1.36285e-23[/C][C]2.72571e-23[/C][C]1[/C][/ROW]
[ROW][C]58[/C][C]3.03788e-24[/C][C]6.07576e-24[/C][C]1[/C][/ROW]
[ROW][C]59[/C][C]1.03669e-24[/C][C]2.07338e-24[/C][C]1[/C][/ROW]
[ROW][C]60[/C][C]5.95321e-25[/C][C]1.19064e-24[/C][C]1[/C][/ROW]
[ROW][C]61[/C][C]1.37481e-25[/C][C]2.74961e-25[/C][C]1[/C][/ROW]
[ROW][C]62[/C][C]3.02936e-26[/C][C]6.05873e-26[/C][C]1[/C][/ROW]
[ROW][C]63[/C][C]6.58539e-27[/C][C]1.31708e-26[/C][C]1[/C][/ROW]
[ROW][C]64[/C][C]1.51272e-27[/C][C]3.02543e-27[/C][C]1[/C][/ROW]
[ROW][C]65[/C][C]3.73736e-28[/C][C]7.47473e-28[/C][C]1[/C][/ROW]
[ROW][C]66[/C][C]8.5916e-29[/C][C]1.71832e-28[/C][C]1[/C][/ROW]
[ROW][C]67[/C][C]1.93907e-29[/C][C]3.87813e-29[/C][C]1[/C][/ROW]
[ROW][C]68[/C][C]5.70722e-30[/C][C]1.14144e-29[/C][C]1[/C][/ROW]
[ROW][C]69[/C][C]1.25603e-30[/C][C]2.51206e-30[/C][C]1[/C][/ROW]
[ROW][C]70[/C][C]6.87705e-31[/C][C]1.37541e-30[/C][C]1[/C][/ROW]
[ROW][C]71[/C][C]1.63624e-31[/C][C]3.27249e-31[/C][C]1[/C][/ROW]
[ROW][C]72[/C][C]3.56711e-32[/C][C]7.13422e-32[/C][C]1[/C][/ROW]
[ROW][C]73[/C][C]8.73117e-33[/C][C]1.74623e-32[/C][C]1[/C][/ROW]
[ROW][C]74[/C][C]1.84719e-33[/C][C]3.69439e-33[/C][C]1[/C][/ROW]
[ROW][C]75[/C][C]4.04982e-34[/C][C]8.09964e-34[/C][C]1[/C][/ROW]
[ROW][C]76[/C][C]8.97653e-35[/C][C]1.79531e-34[/C][C]1[/C][/ROW]
[ROW][C]77[/C][C]4.65018e-35[/C][C]9.30037e-35[/C][C]1[/C][/ROW]
[ROW][C]78[/C][C]1.05229e-35[/C][C]2.10458e-35[/C][C]1[/C][/ROW]
[ROW][C]79[/C][C]3.01739e-36[/C][C]6.03478e-36[/C][C]1[/C][/ROW]
[ROW][C]80[/C][C]5.93754e-37[/C][C]1.18751e-36[/C][C]1[/C][/ROW]
[ROW][C]81[/C][C]3.70229e-37[/C][C]7.40458e-37[/C][C]1[/C][/ROW]
[ROW][C]82[/C][C]7.1958e-38[/C][C]1.43916e-37[/C][C]1[/C][/ROW]
[ROW][C]83[/C][C]3.49207e-38[/C][C]6.98415e-38[/C][C]1[/C][/ROW]
[ROW][C]84[/C][C]2.76393e-30[/C][C]5.52786e-30[/C][C]1[/C][/ROW]
[ROW][C]85[/C][C]2.05029e-30[/C][C]4.10058e-30[/C][C]1[/C][/ROW]
[ROW][C]86[/C][C]5.74231e-31[/C][C]1.14846e-30[/C][C]1[/C][/ROW]
[ROW][C]87[/C][C]1.50875e-31[/C][C]3.01751e-31[/C][C]1[/C][/ROW]
[ROW][C]88[/C][C]4.82663e-32[/C][C]9.65325e-32[/C][C]1[/C][/ROW]
[ROW][C]89[/C][C]1.24969e-32[/C][C]2.49939e-32[/C][C]1[/C][/ROW]
[ROW][C]90[/C][C]3.66288e-33[/C][C]7.32576e-33[/C][C]1[/C][/ROW]
[ROW][C]91[/C][C]8.98522e-34[/C][C]1.79704e-33[/C][C]1[/C][/ROW]
[ROW][C]92[/C][C]3.67644e-34[/C][C]7.35288e-34[/C][C]1[/C][/ROW]
[ROW][C]93[/C][C]1.09105e-34[/C][C]2.18211e-34[/C][C]1[/C][/ROW]
[ROW][C]94[/C][C]4.01385e-35[/C][C]8.0277e-35[/C][C]1[/C][/ROW]
[ROW][C]95[/C][C]1.10186e-35[/C][C]2.20372e-35[/C][C]1[/C][/ROW]
[ROW][C]96[/C][C]5.2377e-36[/C][C]1.04754e-35[/C][C]1[/C][/ROW]
[ROW][C]97[/C][C]2.64872e-30[/C][C]5.29744e-30[/C][C]1[/C][/ROW]
[ROW][C]98[/C][C]7.62176e-31[/C][C]1.52435e-30[/C][C]1[/C][/ROW]
[ROW][C]99[/C][C]2.11836e-31[/C][C]4.23672e-31[/C][C]1[/C][/ROW]
[ROW][C]100[/C][C]5.96057e-32[/C][C]1.19211e-31[/C][C]1[/C][/ROW]
[ROW][C]101[/C][C]1.82868e-32[/C][C]3.65736e-32[/C][C]1[/C][/ROW]
[ROW][C]102[/C][C]1.05844e-32[/C][C]2.11687e-32[/C][C]1[/C][/ROW]
[ROW][C]103[/C][C]7.10823e-33[/C][C]1.42165e-32[/C][C]1[/C][/ROW]
[ROW][C]104[/C][C]4.43889e-33[/C][C]8.87778e-33[/C][C]1[/C][/ROW]
[ROW][C]105[/C][C]1.21286e-33[/C][C]2.42573e-33[/C][C]1[/C][/ROW]
[ROW][C]106[/C][C]3.5903e-34[/C][C]7.1806e-34[/C][C]1[/C][/ROW]
[ROW][C]107[/C][C]2.2376e-34[/C][C]4.47521e-34[/C][C]1[/C][/ROW]
[ROW][C]108[/C][C]7.52779e-33[/C][C]1.50556e-32[/C][C]1[/C][/ROW]
[ROW][C]109[/C][C]2.4715e-33[/C][C]4.943e-33[/C][C]1[/C][/ROW]
[ROW][C]110[/C][C]6.94782e-34[/C][C]1.38956e-33[/C][C]1[/C][/ROW]
[ROW][C]111[/C][C]4.10681e-34[/C][C]8.21363e-34[/C][C]1[/C][/ROW]
[ROW][C]112[/C][C]1.17504e-34[/C][C]2.35008e-34[/C][C]1[/C][/ROW]
[ROW][C]113[/C][C]1.94019e-29[/C][C]3.88039e-29[/C][C]1[/C][/ROW]
[ROW][C]114[/C][C]1.80784e-29[/C][C]3.61568e-29[/C][C]1[/C][/ROW]
[ROW][C]115[/C][C]7.79744e-26[/C][C]1.55949e-25[/C][C]1[/C][/ROW]
[ROW][C]116[/C][C]3.26905e-26[/C][C]6.53809e-26[/C][C]1[/C][/ROW]
[ROW][C]117[/C][C]4.13703e-25[/C][C]8.27405e-25[/C][C]1[/C][/ROW]
[ROW][C]118[/C][C]1.86085e-25[/C][C]3.72171e-25[/C][C]1[/C][/ROW]
[ROW][C]119[/C][C]1.03947e-25[/C][C]2.07893e-25[/C][C]1[/C][/ROW]
[ROW][C]120[/C][C]3.21819e-25[/C][C]6.43638e-25[/C][C]1[/C][/ROW]
[ROW][C]121[/C][C]1.51466e-25[/C][C]3.02931e-25[/C][C]1[/C][/ROW]
[ROW][C]122[/C][C]5.16442e-23[/C][C]1.03288e-22[/C][C]1[/C][/ROW]
[ROW][C]123[/C][C]1.2824e-22[/C][C]2.5648e-22[/C][C]1[/C][/ROW]
[ROW][C]124[/C][C]4.54745e-22[/C][C]9.0949e-22[/C][C]1[/C][/ROW]
[ROW][C]125[/C][C]6.17542e-21[/C][C]1.23508e-20[/C][C]1[/C][/ROW]
[ROW][C]126[/C][C]1.45907e-20[/C][C]2.91813e-20[/C][C]1[/C][/ROW]
[ROW][C]127[/C][C]6.43345e-21[/C][C]1.28669e-20[/C][C]1[/C][/ROW]
[ROW][C]128[/C][C]4.4144e-21[/C][C]8.8288e-21[/C][C]1[/C][/ROW]
[ROW][C]129[/C][C]5.37289e-21[/C][C]1.07458e-20[/C][C]1[/C][/ROW]
[ROW][C]130[/C][C]6.75438e-21[/C][C]1.35088e-20[/C][C]1[/C][/ROW]
[ROW][C]131[/C][C]8.21352e-21[/C][C]1.6427e-20[/C][C]1[/C][/ROW]
[ROW][C]132[/C][C]2.75496e-20[/C][C]5.50991e-20[/C][C]1[/C][/ROW]
[ROW][C]133[/C][C]9.04549e-20[/C][C]1.8091e-19[/C][C]1[/C][/ROW]
[ROW][C]134[/C][C]3.93023e-20[/C][C]7.86046e-20[/C][C]1[/C][/ROW]
[ROW][C]135[/C][C]3.50284e-20[/C][C]7.00568e-20[/C][C]1[/C][/ROW]
[ROW][C]136[/C][C]1.56243e-20[/C][C]3.12485e-20[/C][C]1[/C][/ROW]
[ROW][C]137[/C][C]9.24913e-21[/C][C]1.84983e-20[/C][C]1[/C][/ROW]
[ROW][C]138[/C][C]1.25597e-17[/C][C]2.51195e-17[/C][C]1[/C][/ROW]
[ROW][C]139[/C][C]1.26584e-17[/C][C]2.53168e-17[/C][C]1[/C][/ROW]
[ROW][C]140[/C][C]8.51037e-18[/C][C]1.70207e-17[/C][C]1[/C][/ROW]
[ROW][C]141[/C][C]5.45044e-18[/C][C]1.09009e-17[/C][C]1[/C][/ROW]
[ROW][C]142[/C][C]6.49279e-16[/C][C]1.29856e-15[/C][C]1[/C][/ROW]
[ROW][C]143[/C][C]2.21947e-15[/C][C]4.43895e-15[/C][C]1[/C][/ROW]
[ROW][C]144[/C][C]1.21853e-15[/C][C]2.43706e-15[/C][C]1[/C][/ROW]
[ROW][C]145[/C][C]6.45304e-16[/C][C]1.29061e-15[/C][C]1[/C][/ROW]
[ROW][C]146[/C][C]3.66851e-16[/C][C]7.33701e-16[/C][C]1[/C][/ROW]
[ROW][C]147[/C][C]5.62995e-15[/C][C]1.12599e-14[/C][C]1[/C][/ROW]
[ROW][C]148[/C][C]2.92405e-15[/C][C]5.8481e-15[/C][C]1[/C][/ROW]
[ROW][C]149[/C][C]3.31077e-15[/C][C]6.62154e-15[/C][C]1[/C][/ROW]
[ROW][C]150[/C][C]4.84235e-15[/C][C]9.68469e-15[/C][C]1[/C][/ROW]
[ROW][C]151[/C][C]3.59717e-14[/C][C]7.19435e-14[/C][C]1[/C][/ROW]
[ROW][C]152[/C][C]1.93836e-14[/C][C]3.87671e-14[/C][C]1[/C][/ROW]
[ROW][C]153[/C][C]3.483e-14[/C][C]6.966e-14[/C][C]1[/C][/ROW]
[ROW][C]154[/C][C]3.02446e-14[/C][C]6.04893e-14[/C][C]1[/C][/ROW]
[ROW][C]155[/C][C]2.84298e-14[/C][C]5.68597e-14[/C][C]1[/C][/ROW]
[ROW][C]156[/C][C]1.51404e-14[/C][C]3.02808e-14[/C][C]1[/C][/ROW]
[ROW][C]157[/C][C]1.74806e-14[/C][C]3.49611e-14[/C][C]1[/C][/ROW]
[ROW][C]158[/C][C]6.69973e-14[/C][C]1.33995e-13[/C][C]1[/C][/ROW]
[ROW][C]159[/C][C]7.32625e-14[/C][C]1.46525e-13[/C][C]1[/C][/ROW]
[ROW][C]160[/C][C]8.54704e-14[/C][C]1.70941e-13[/C][C]1[/C][/ROW]
[ROW][C]161[/C][C]4.67168e-14[/C][C]9.34337e-14[/C][C]1[/C][/ROW]
[ROW][C]162[/C][C]6.47967e-14[/C][C]1.29593e-13[/C][C]1[/C][/ROW]
[ROW][C]163[/C][C]1.34596e-13[/C][C]2.69192e-13[/C][C]1[/C][/ROW]
[ROW][C]164[/C][C]3.69884e-11[/C][C]7.39767e-11[/C][C]1[/C][/ROW]
[ROW][C]165[/C][C]3.78948e-11[/C][C]7.57896e-11[/C][C]1[/C][/ROW]
[ROW][C]166[/C][C]2.70506e-11[/C][C]5.41012e-11[/C][C]1[/C][/ROW]
[ROW][C]167[/C][C]2.08253e-11[/C][C]4.16505e-11[/C][C]1[/C][/ROW]
[ROW][C]168[/C][C]1.2917e-11[/C][C]2.5834e-11[/C][C]1[/C][/ROW]
[ROW][C]169[/C][C]7.36012e-12[/C][C]1.47202e-11[/C][C]1[/C][/ROW]
[ROW][C]170[/C][C]4.01618e-12[/C][C]8.03237e-12[/C][C]1[/C][/ROW]
[ROW][C]171[/C][C]2.24324e-12[/C][C]4.48647e-12[/C][C]1[/C][/ROW]
[ROW][C]172[/C][C]8.13964e-12[/C][C]1.62793e-11[/C][C]1[/C][/ROW]
[ROW][C]173[/C][C]1.96619e-11[/C][C]3.93238e-11[/C][C]1[/C][/ROW]
[ROW][C]174[/C][C]1.26153e-11[/C][C]2.52305e-11[/C][C]1[/C][/ROW]
[ROW][C]175[/C][C]8.27107e-12[/C][C]1.65421e-11[/C][C]1[/C][/ROW]
[ROW][C]176[/C][C]2.39758e-11[/C][C]4.79517e-11[/C][C]1[/C][/ROW]
[ROW][C]177[/C][C]1.34244e-11[/C][C]2.68489e-11[/C][C]1[/C][/ROW]
[ROW][C]178[/C][C]1.27626e-11[/C][C]2.55251e-11[/C][C]1[/C][/ROW]
[ROW][C]179[/C][C]7.25317e-12[/C][C]1.45063e-11[/C][C]1[/C][/ROW]
[ROW][C]180[/C][C]5.68757e-12[/C][C]1.13751e-11[/C][C]1[/C][/ROW]
[ROW][C]181[/C][C]8.50346e-12[/C][C]1.70069e-11[/C][C]1[/C][/ROW]
[ROW][C]182[/C][C]1.61605e-11[/C][C]3.2321e-11[/C][C]1[/C][/ROW]
[ROW][C]183[/C][C]1.14786e-11[/C][C]2.29573e-11[/C][C]1[/C][/ROW]
[ROW][C]184[/C][C]2.77741e-11[/C][C]5.55481e-11[/C][C]1[/C][/ROW]
[ROW][C]185[/C][C]2.39915e-10[/C][C]4.79831e-10[/C][C]1[/C][/ROW]
[ROW][C]186[/C][C]4.98554e-10[/C][C]9.97107e-10[/C][C]1[/C][/ROW]
[ROW][C]187[/C][C]3.89526e-10[/C][C]7.79053e-10[/C][C]1[/C][/ROW]
[ROW][C]188[/C][C]2.62813e-10[/C][C]5.25625e-10[/C][C]1[/C][/ROW]
[ROW][C]189[/C][C]6.37426e-10[/C][C]1.27485e-09[/C][C]1[/C][/ROW]
[ROW][C]190[/C][C]5.66329e-09[/C][C]1.13266e-08[/C][C]1[/C][/ROW]
[ROW][C]191[/C][C]3.00396e-08[/C][C]6.00793e-08[/C][C]1[/C][/ROW]
[ROW][C]192[/C][C]4.10114e-08[/C][C]8.20229e-08[/C][C]1[/C][/ROW]
[ROW][C]193[/C][C]2.74991e-08[/C][C]5.49982e-08[/C][C]1[/C][/ROW]
[ROW][C]194[/C][C]8.51488e-08[/C][C]1.70298e-07[/C][C]1[/C][/ROW]
[ROW][C]195[/C][C]6.96175e-08[/C][C]1.39235e-07[/C][C]1[/C][/ROW]
[ROW][C]196[/C][C]4.28524e-08[/C][C]8.57047e-08[/C][C]1[/C][/ROW]
[ROW][C]197[/C][C]3.01139e-08[/C][C]6.02278e-08[/C][C]1[/C][/ROW]
[ROW][C]198[/C][C]7.7504e-08[/C][C]1.55008e-07[/C][C]1[/C][/ROW]
[ROW][C]199[/C][C]5.36143e-08[/C][C]1.07229e-07[/C][C]1[/C][/ROW]
[ROW][C]200[/C][C]1.83294e-07[/C][C]3.66589e-07[/C][C]1[/C][/ROW]
[ROW][C]201[/C][C]1.38972e-07[/C][C]2.77944e-07[/C][C]1[/C][/ROW]
[ROW][C]202[/C][C]1.02655e-07[/C][C]2.0531e-07[/C][C]1[/C][/ROW]
[ROW][C]203[/C][C]1.53129e-07[/C][C]3.06257e-07[/C][C]1[/C][/ROW]
[ROW][C]204[/C][C]9.60703e-08[/C][C]1.92141e-07[/C][C]1[/C][/ROW]
[ROW][C]205[/C][C]7.89527e-08[/C][C]1.57905e-07[/C][C]1[/C][/ROW]
[ROW][C]206[/C][C]5.23275e-08[/C][C]1.04655e-07[/C][C]1[/C][/ROW]
[ROW][C]207[/C][C]4.24621e-08[/C][C]8.49242e-08[/C][C]1[/C][/ROW]
[ROW][C]208[/C][C]2.81619e-08[/C][C]5.63238e-08[/C][C]1[/C][/ROW]
[ROW][C]209[/C][C]1.85354e-08[/C][C]3.70708e-08[/C][C]1[/C][/ROW]
[ROW][C]210[/C][C]3.1032e-08[/C][C]6.2064e-08[/C][C]1[/C][/ROW]
[ROW][C]211[/C][C]5.70156e-08[/C][C]1.14031e-07[/C][C]1[/C][/ROW]
[ROW][C]212[/C][C]8.82404e-08[/C][C]1.76481e-07[/C][C]1[/C][/ROW]
[ROW][C]213[/C][C]3.0173e-07[/C][C]6.0346e-07[/C][C]1[/C][/ROW]
[ROW][C]214[/C][C]1.85249e-07[/C][C]3.70498e-07[/C][C]1[/C][/ROW]
[ROW][C]215[/C][C]2.98753e-07[/C][C]5.97506e-07[/C][C]1[/C][/ROW]
[ROW][C]216[/C][C]3.49632e-07[/C][C]6.99263e-07[/C][C]1[/C][/ROW]
[ROW][C]217[/C][C]2.2657e-07[/C][C]4.5314e-07[/C][C]1[/C][/ROW]
[ROW][C]218[/C][C]1.95148e-07[/C][C]3.90295e-07[/C][C]1[/C][/ROW]
[ROW][C]219[/C][C]6.24014e-07[/C][C]1.24803e-06[/C][C]0.999999[/C][/ROW]
[ROW][C]220[/C][C]4.26593e-07[/C][C]8.53186e-07[/C][C]1[/C][/ROW]
[ROW][C]221[/C][C]3.4234e-07[/C][C]6.8468e-07[/C][C]1[/C][/ROW]
[ROW][C]222[/C][C]1.34213e-06[/C][C]2.68425e-06[/C][C]0.999999[/C][/ROW]
[ROW][C]223[/C][C]6.71212e-06[/C][C]1.34242e-05[/C][C]0.999993[/C][/ROW]
[ROW][C]224[/C][C]3.43204e-05[/C][C]6.86409e-05[/C][C]0.999966[/C][/ROW]
[ROW][C]225[/C][C]2.46227e-05[/C][C]4.92454e-05[/C][C]0.999975[/C][/ROW]
[ROW][C]226[/C][C]0.000287562[/C][C]0.000575124[/C][C]0.999712[/C][/ROW]
[ROW][C]227[/C][C]0.000615306[/C][C]0.00123061[/C][C]0.999385[/C][/ROW]
[ROW][C]228[/C][C]0.000560126[/C][C]0.00112025[/C][C]0.99944[/C][/ROW]
[ROW][C]229[/C][C]0.000454636[/C][C]0.000909273[/C][C]0.999545[/C][/ROW]
[ROW][C]230[/C][C]0.000435829[/C][C]0.000871658[/C][C]0.999564[/C][/ROW]
[ROW][C]231[/C][C]0.000697283[/C][C]0.00139457[/C][C]0.999303[/C][/ROW]
[ROW][C]232[/C][C]0.00049553[/C][C]0.000991059[/C][C]0.999504[/C][/ROW]
[ROW][C]233[/C][C]0.000357697[/C][C]0.000715394[/C][C]0.999642[/C][/ROW]
[ROW][C]234[/C][C]0.000240565[/C][C]0.000481131[/C][C]0.999759[/C][/ROW]
[ROW][C]235[/C][C]0.000481543[/C][C]0.000963087[/C][C]0.999518[/C][/ROW]
[ROW][C]236[/C][C]0.000712573[/C][C]0.00142515[/C][C]0.999287[/C][/ROW]
[ROW][C]237[/C][C]0.00160984[/C][C]0.00321967[/C][C]0.99839[/C][/ROW]
[ROW][C]238[/C][C]0.00125793[/C][C]0.00251585[/C][C]0.998742[/C][/ROW]
[ROW][C]239[/C][C]0.000926354[/C][C]0.00185271[/C][C]0.999074[/C][/ROW]
[ROW][C]240[/C][C]0.00674117[/C][C]0.0134823[/C][C]0.993259[/C][/ROW]
[ROW][C]241[/C][C]0.0048188[/C][C]0.00963761[/C][C]0.995181[/C][/ROW]
[ROW][C]242[/C][C]0.0142596[/C][C]0.0285192[/C][C]0.98574[/C][/ROW]
[ROW][C]243[/C][C]0.0113389[/C][C]0.0226779[/C][C]0.988661[/C][/ROW]
[ROW][C]244[/C][C]0.00858482[/C][C]0.0171696[/C][C]0.991415[/C][/ROW]
[ROW][C]245[/C][C]0.0159786[/C][C]0.0319571[/C][C]0.984021[/C][/ROW]
[ROW][C]246[/C][C]0.0383311[/C][C]0.0766622[/C][C]0.961669[/C][/ROW]
[ROW][C]247[/C][C]0.0288376[/C][C]0.0576752[/C][C]0.971162[/C][/ROW]
[ROW][C]248[/C][C]0.065684[/C][C]0.131368[/C][C]0.934316[/C][/ROW]
[ROW][C]249[/C][C]0.0631947[/C][C]0.126389[/C][C]0.936805[/C][/ROW]
[ROW][C]250[/C][C]0.0542436[/C][C]0.108487[/C][C]0.945756[/C][/ROW]
[ROW][C]251[/C][C]0.0555477[/C][C]0.111095[/C][C]0.944452[/C][/ROW]
[ROW][C]252[/C][C]0.0805662[/C][C]0.161132[/C][C]0.919434[/C][/ROW]
[ROW][C]253[/C][C]0.103193[/C][C]0.206386[/C][C]0.896807[/C][/ROW]
[ROW][C]254[/C][C]0.079125[/C][C]0.15825[/C][C]0.920875[/C][/ROW]
[ROW][C]255[/C][C]0.0629589[/C][C]0.125918[/C][C]0.937041[/C][/ROW]
[ROW][C]256[/C][C]0.0589026[/C][C]0.117805[/C][C]0.941097[/C][/ROW]
[ROW][C]257[/C][C]0.0545393[/C][C]0.109079[/C][C]0.945461[/C][/ROW]
[ROW][C]258[/C][C]0.044709[/C][C]0.0894179[/C][C]0.955291[/C][/ROW]
[ROW][C]259[/C][C]0.0890129[/C][C]0.178026[/C][C]0.910987[/C][/ROW]
[ROW][C]260[/C][C]0.0673112[/C][C]0.134622[/C][C]0.932689[/C][/ROW]
[ROW][C]261[/C][C]0.0462034[/C][C]0.0924069[/C][C]0.953797[/C][/ROW]
[ROW][C]262[/C][C]0.103661[/C][C]0.207323[/C][C]0.896339[/C][/ROW]
[ROW][C]263[/C][C]0.247321[/C][C]0.494643[/C][C]0.752679[/C][/ROW]
[ROW][C]264[/C][C]0.385807[/C][C]0.771614[/C][C]0.614193[/C][/ROW]
[ROW][C]265[/C][C]0.295467[/C][C]0.590934[/C][C]0.704533[/C][/ROW]
[ROW][C]266[/C][C]0.215273[/C][C]0.430545[/C][C]0.784727[/C][/ROW]
[ROW][C]267[/C][C]0.17021[/C][C]0.340419[/C][C]0.82979[/C][/ROW]
[ROW][C]268[/C][C]0.132645[/C][C]0.26529[/C][C]0.867355[/C][/ROW]
[ROW][C]269[/C][C]0.328026[/C][C]0.656053[/C][C]0.671974[/C][/ROW]
[ROW][C]270[/C][C]0.207222[/C][C]0.414444[/C][C]0.792778[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266996&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266996&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
80.0002728310.0005456620.999727
92.38652e-054.77303e-050.999976
101.4352e-062.87041e-060.999999
117.11022e-081.42204e-071
121.23353e-082.46706e-081
131.12238e-092.24476e-091
143.16184e-106.32368e-101
151.92617e-113.85234e-111
162.51482e-115.02964e-111
172.07037e-124.14074e-121
181.48948e-132.97897e-131
192.22706e-144.45411e-141
201.55957e-153.11914e-151
213.14249e-136.28498e-131
224.01111e-148.02222e-141
231.14296e-142.28593e-141
242.6399e-105.27981e-101
255.43299e-111.0866e-101
261.46945e-112.9389e-111
271.90653e-103.81306e-101
284.7173e-119.4346e-111
291.31561e-112.63122e-111
303.15271e-126.30542e-121
319.62635e-131.92527e-121
322.45844e-134.91687e-131
335.38905e-141.07781e-131
348.32986e-141.66597e-131
352.07158e-144.14316e-141
363.2909e-146.58179e-141
378.893e-151.7786e-141
387.49551e-151.4991e-141
391.87486e-153.74972e-151
404.63492e-169.26983e-161
411.50103e-163.00206e-161
421.41441e-162.82882e-161
433.34134e-176.68268e-171
447.84477e-181.56895e-171
451.95399e-183.90799e-181
464.78055e-199.56111e-191
471.0728e-192.14559e-191
482.45036e-204.90071e-201
491.3689e-202.73781e-201
505.66846e-211.13369e-201
517.61637e-211.52327e-201
522.55242e-215.10484e-211
536.10128e-221.22026e-211
547.36819e-221.47364e-211
552.07355e-224.14709e-221
565.4418e-231.08836e-221
571.36285e-232.72571e-231
583.03788e-246.07576e-241
591.03669e-242.07338e-241
605.95321e-251.19064e-241
611.37481e-252.74961e-251
623.02936e-266.05873e-261
636.58539e-271.31708e-261
641.51272e-273.02543e-271
653.73736e-287.47473e-281
668.5916e-291.71832e-281
671.93907e-293.87813e-291
685.70722e-301.14144e-291
691.25603e-302.51206e-301
706.87705e-311.37541e-301
711.63624e-313.27249e-311
723.56711e-327.13422e-321
738.73117e-331.74623e-321
741.84719e-333.69439e-331
754.04982e-348.09964e-341
768.97653e-351.79531e-341
774.65018e-359.30037e-351
781.05229e-352.10458e-351
793.01739e-366.03478e-361
805.93754e-371.18751e-361
813.70229e-377.40458e-371
827.1958e-381.43916e-371
833.49207e-386.98415e-381
842.76393e-305.52786e-301
852.05029e-304.10058e-301
865.74231e-311.14846e-301
871.50875e-313.01751e-311
884.82663e-329.65325e-321
891.24969e-322.49939e-321
903.66288e-337.32576e-331
918.98522e-341.79704e-331
923.67644e-347.35288e-341
931.09105e-342.18211e-341
944.01385e-358.0277e-351
951.10186e-352.20372e-351
965.2377e-361.04754e-351
972.64872e-305.29744e-301
987.62176e-311.52435e-301
992.11836e-314.23672e-311
1005.96057e-321.19211e-311
1011.82868e-323.65736e-321
1021.05844e-322.11687e-321
1037.10823e-331.42165e-321
1044.43889e-338.87778e-331
1051.21286e-332.42573e-331
1063.5903e-347.1806e-341
1072.2376e-344.47521e-341
1087.52779e-331.50556e-321
1092.4715e-334.943e-331
1106.94782e-341.38956e-331
1114.10681e-348.21363e-341
1121.17504e-342.35008e-341
1131.94019e-293.88039e-291
1141.80784e-293.61568e-291
1157.79744e-261.55949e-251
1163.26905e-266.53809e-261
1174.13703e-258.27405e-251
1181.86085e-253.72171e-251
1191.03947e-252.07893e-251
1203.21819e-256.43638e-251
1211.51466e-253.02931e-251
1225.16442e-231.03288e-221
1231.2824e-222.5648e-221
1244.54745e-229.0949e-221
1256.17542e-211.23508e-201
1261.45907e-202.91813e-201
1276.43345e-211.28669e-201
1284.4144e-218.8288e-211
1295.37289e-211.07458e-201
1306.75438e-211.35088e-201
1318.21352e-211.6427e-201
1322.75496e-205.50991e-201
1339.04549e-201.8091e-191
1343.93023e-207.86046e-201
1353.50284e-207.00568e-201
1361.56243e-203.12485e-201
1379.24913e-211.84983e-201
1381.25597e-172.51195e-171
1391.26584e-172.53168e-171
1408.51037e-181.70207e-171
1415.45044e-181.09009e-171
1426.49279e-161.29856e-151
1432.21947e-154.43895e-151
1441.21853e-152.43706e-151
1456.45304e-161.29061e-151
1463.66851e-167.33701e-161
1475.62995e-151.12599e-141
1482.92405e-155.8481e-151
1493.31077e-156.62154e-151
1504.84235e-159.68469e-151
1513.59717e-147.19435e-141
1521.93836e-143.87671e-141
1533.483e-146.966e-141
1543.02446e-146.04893e-141
1552.84298e-145.68597e-141
1561.51404e-143.02808e-141
1571.74806e-143.49611e-141
1586.69973e-141.33995e-131
1597.32625e-141.46525e-131
1608.54704e-141.70941e-131
1614.67168e-149.34337e-141
1626.47967e-141.29593e-131
1631.34596e-132.69192e-131
1643.69884e-117.39767e-111
1653.78948e-117.57896e-111
1662.70506e-115.41012e-111
1672.08253e-114.16505e-111
1681.2917e-112.5834e-111
1697.36012e-121.47202e-111
1704.01618e-128.03237e-121
1712.24324e-124.48647e-121
1728.13964e-121.62793e-111
1731.96619e-113.93238e-111
1741.26153e-112.52305e-111
1758.27107e-121.65421e-111
1762.39758e-114.79517e-111
1771.34244e-112.68489e-111
1781.27626e-112.55251e-111
1797.25317e-121.45063e-111
1805.68757e-121.13751e-111
1818.50346e-121.70069e-111
1821.61605e-113.2321e-111
1831.14786e-112.29573e-111
1842.77741e-115.55481e-111
1852.39915e-104.79831e-101
1864.98554e-109.97107e-101
1873.89526e-107.79053e-101
1882.62813e-105.25625e-101
1896.37426e-101.27485e-091
1905.66329e-091.13266e-081
1913.00396e-086.00793e-081
1924.10114e-088.20229e-081
1932.74991e-085.49982e-081
1948.51488e-081.70298e-071
1956.96175e-081.39235e-071
1964.28524e-088.57047e-081
1973.01139e-086.02278e-081
1987.7504e-081.55008e-071
1995.36143e-081.07229e-071
2001.83294e-073.66589e-071
2011.38972e-072.77944e-071
2021.02655e-072.0531e-071
2031.53129e-073.06257e-071
2049.60703e-081.92141e-071
2057.89527e-081.57905e-071
2065.23275e-081.04655e-071
2074.24621e-088.49242e-081
2082.81619e-085.63238e-081
2091.85354e-083.70708e-081
2103.1032e-086.2064e-081
2115.70156e-081.14031e-071
2128.82404e-081.76481e-071
2133.0173e-076.0346e-071
2141.85249e-073.70498e-071
2152.98753e-075.97506e-071
2163.49632e-076.99263e-071
2172.2657e-074.5314e-071
2181.95148e-073.90295e-071
2196.24014e-071.24803e-060.999999
2204.26593e-078.53186e-071
2213.4234e-076.8468e-071
2221.34213e-062.68425e-060.999999
2236.71212e-061.34242e-050.999993
2243.43204e-056.86409e-050.999966
2252.46227e-054.92454e-050.999975
2260.0002875620.0005751240.999712
2270.0006153060.001230610.999385
2280.0005601260.001120250.99944
2290.0004546360.0009092730.999545
2300.0004358290.0008716580.999564
2310.0006972830.001394570.999303
2320.000495530.0009910590.999504
2330.0003576970.0007153940.999642
2340.0002405650.0004811310.999759
2350.0004815430.0009630870.999518
2360.0007125730.001425150.999287
2370.001609840.003219670.99839
2380.001257930.002515850.998742
2390.0009263540.001852710.999074
2400.006741170.01348230.993259
2410.00481880.009637610.995181
2420.01425960.02851920.98574
2430.01133890.02267790.988661
2440.008584820.01716960.991415
2450.01597860.03195710.984021
2460.03833110.07666220.961669
2470.02883760.05767520.971162
2480.0656840.1313680.934316
2490.06319470.1263890.936805
2500.05424360.1084870.945756
2510.05554770.1110950.944452
2520.08056620.1611320.919434
2530.1031930.2063860.896807
2540.0791250.158250.920875
2550.06295890.1259180.937041
2560.05890260.1178050.941097
2570.05453930.1090790.945461
2580.0447090.08941790.955291
2590.08901290.1780260.910987
2600.06731120.1346220.932689
2610.04620340.09240690.953797
2620.1036610.2073230.896339
2630.2473210.4946430.752679
2640.3858070.7716140.614193
2650.2954670.5909340.704533
2660.2152730.4305450.784727
2670.170210.3404190.82979
2680.1326450.265290.867355
2690.3280260.6560530.671974
2700.2072220.4144440.792778






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level2330.885932NOK
5% type I error level2380.904943NOK
10% type I error level2420.920152NOK

\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 & 233 & 0.885932 & NOK \tabularnewline
5% type I error level & 238 & 0.904943 & NOK \tabularnewline
10% type I error level & 242 & 0.920152 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266996&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]233[/C][C]0.885932[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]238[/C][C]0.904943[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]242[/C][C]0.920152[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266996&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266996&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 level2330.885932NOK
5% type I error level2380.904943NOK
10% type I error level2420.920152NOK


Figures (Output of Computation)

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Input Parameters & R Code

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