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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationMon, 15 Dec 2014 13:07:20 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Dec/15/t14186488940j9fimpfidpf92s.htm/, Retrieved Thu, 16 May 2024 08:19:06 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=268307, Retrieved Thu, 16 May 2024 08:19:06 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact60

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Multiple Regression] [Invloed van IM, E...] [2014-12-15 13:07:20] [5848e943dc403117a4a7bf00dc78acfc] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
12.9 26 50 149 68
12.2 57 62 139 39
12.8 37 54 148 32
7.4 67 71 158 62
6.7 43 54 128 33
12.6 52 65 224 52
14.8 52 73 159 62
13.3 43 52 105 77
11.1 84 84 159 76
8.2 67 42 167 41
11.4 49 66 165 48
6.4 70 65 159 63
10.6 52 78 119 30
12.0 58 73 176 78
6.3 68 75 54 19
11.3 62 72 91 31
11.9 43 66 163 66
9.3 56 70 124 35
9.6 56 61 137 42
10.0 74 81 121 45
6.4 65 71 153 21
13.8 63 69 148 25
10.8 58 71 221 44
13.8 57 72 188 69
11.7 63 68 149 54
10.9 53 70 244 74
16.1 57 68 148 80
13.4 51 61 92 42
9.9 64 67 150 61
11.5 53 76 153 41
8.3 29 70 94 46
11.7 54 60 156 39
9.0 58 72 132 34
9.7 43 69 161 51
10.8 51 71 105 42
10.3 53 62 97 31
10.4 54 70 151 39
12.7 56 64 131 20
9.3 61 58 166 49
11.8 47 76 157 53
5.9 39 52 111 31
11.4 48 59 145 39
13.0 50 68 162 54
10.8 35 76 163 49
12.3 30 65 59 34
11.3 68 67 187 46
11.8 49 59 109 55
7.9 61 69 90 42
12.7 67 76 105 50
12.3 47 63 83 13
11.6 56 75 116 37
6.7 50 63 42 25
10.9 43 60 148 30
12.1 67 73 155 28
13.3 62 63 125 45
10.1 57 70 116 35
5.7 41 75 128 28
14.3 54 66 138 41
8.0 45 63 49 6
13.3 48 63 96 45
9.3 61 64 164 73
12.5 56 70 162 17
7.6 41 75 99 40
15.9 43 61 202 64
9.2 53 60 186 37
9.1 44 62 66 25
11.1 66 73 183 65
13.0 58 61 214 100
14.5 46 66 188 28
12.2 37 64 104 35
12.3 51 59 177 56
11.4 51 64 126 29
8.8 56 60 76 43
14.6 66 56 99 59
12.6 37 78 139 50
NA 59 53 78 3
13.0 42 67 162 59
12.6 38 59 108 27
13.2 66 66 159 61
9.9 34 68 74 28
7.7 53 71 110 51
10.5 49 66 96 35
13.4 55 73 116 29
10.9 49 72 87 48
4.3 59 71 97 25
10.3 40 59 127 44
11.8 58 64 106 64
11.2 60 66 80 32
11.4 63 78 74 20
8.6 56 68 91 28
13.2 54 73 133 34
12.6 52 62 74 31
5.6 34 65 114 26
9.9 69 68 140 58
8.8 32 65 95 23
7.7 48 60 98 21
9.0 67 71 121 21
7.3 58 65 126 33
11.4 57 68 98 16
13.6 42 64 95 20
7.9 64 74 110 37
10.7 58 69 70 35
10.3 66 76 102 33
8.3 26 68 86 27
9.6 61 72 130 41
14.2 52 67 96 40
8.5 51 63 102 35
13.5 55 59 100 28
4.9 50 73 94 32
6.4 60 66 52 22
9.6 56 62 98 44
11.6 63 69 118 27
11.1 61 66 99 17
4.35 52 51 48 12
12.7 16 56 50 45
18.1 46 67 150 37
17.85 56 69 154 37
16.6 52 57 109 108
12.6 55 56 68 10
17.1 50 55 194 68
19.1 59 63 158 72
16.1 60 67 159 143
13.35 52 65 67 9
18.4 44 47 147 55
14.7 67 76 39 17
10.6 52 64 100 37
12.6 55 68 111 27
16.2 37 64 138 37
13.6 54 65 101 58
18.9 72 71 131 66
14.1 51 63 101 21
14.5 48 60 114 19
16.15 60 68 165 78
14.75 50 72 114 35
14.8 63 70 111 48
12.45 33 61 75 27
12.65 67 61 82 43
17.35 46 62 121 30
8.6 54 71 32 25
18.4 59 71 150 69
16.1 61 51 117 72
11.6 33 56 71 23
17.75 47 70 165 13
15.25 69 73 154 61
17.65 52 76 126 43
16.35 55 68 149 51
17.65 41 48 145 67
13.6 73 52 120 36
14.35 52 60 109 44
14.75 50 59 132 45
18.25 51 57 172 34
9.9 60 79 169 36
16 56 60 114 72
18.25 56 60 156 39
16.85 29 59 172 43
14.6 66 62 68 25
13.85 66 59 89 56
18.95 73 61 167 80
15.6 55 71 113 40
14.85 64 57 115 73
11.75 40 66 78 34
18.45 46 63 118 72
15.9 58 69 87 42
17.1 43 58 173 61
16.1 61 59 2 23
19.9 51 48 162 74
10.95 50 66 49 16
18.45 52 73 122 66
15.1 54 67 96 9
15 66 61 100 41
11.35 61 68 82 57
15.95 80 75 100 48
18.1 51 62 115 51
14.6 56 69 141 53
15.4 56 58 165 29
15.4 56 60 165 29
17.6 53 74 110 55
13.35 47 55 118 54
19.1 25 62 158 43
15.35 47 63 146 51
7.6 46 69 49 20
13.4 50 58 90 79
13.9 39 58 121 39
19.1 51 68 155 61
15.25 58 72 104 55
12.9 35 62 147 30
16.1 58 62 110 55
17.35 60 65 108 22
13.15 62 69 113 37
12.15 63 66 115 2
12.6 53 72 61 38
10.35 46 62 60 27
15.4 67 75 109 56
9.6 59 58 68 25
18.2 64 66 111 39
13.6 38 55 77 33
14.85 50 47 73 43
14.75 48 72 151 57
14.1 48 62 89 43
14.9 47 64 78 23
16.25 66 64 110 44
19.25 47 19 220 54
13.6 63 50 65 28
13.6 58 68 141 36
15.65 44 70 117 39
12.75 51 79 122 16
14.6 43 69 63 23
9.85 55 71 44 40
12.65 38 48 52 24
19.2 45 73 131 78
16.6 50 74 101 57
11.2 54 66 42 37
15.25 57 71 152 27
11.9 60 74 107 61
13.2 55 78 77 27
16.35 56 75 154 69
12.4 49 53 103 34
15.85 37 60 96 44
18.15 59 70 175 34
11.15 46 69 57 39
15.65 51 65 112 51
17.75 58 78 143 34
7.65 64 78 49 31
12.35 53 59 110 13
15.6 48 72 131 12
19.3 51 70 167 51
15.2 47 63 56 24
17.1 59 63 137 19
15.6 62 71 86 30
18.4 62 74 121 81
19.05 51 67 149 42
18.55 64 66 168 22
19.1 52 62 140 85
13.1 67 80 88 27
12.85 50 73 168 25
9.5 54 67 94 22
4.5 58 61 51 19
11.85 56 73 48 14
13.6 63 74 145 45
11.7 31 32 66 45
12.4 65 69 85 28
13.35 71 69 109 51
11.4 50 84 63 41
14.9 57 64 102 31
19.9 47 58 162 74
11.2 47 59 86 19
14.6 57 78 114 51
17.6 43 57 164 73
14.05 41 60 119 24
16.1 63 68 126 61
13.35 63 68 132 23
11.85 56 73 142 14
11.95 51 69 83 54
14.75 50 67 94 51
15.15 22 60 81 62
13.2 41 65 166 36
16.85 59 66 110 59
7.85 56 74 64 24
7.7 66 81 93 26
12.6 53 72 104 54
7.85 42 55 105 39
10.95 52 49 49 16
12.35 54 74 88 36
9.95 44 53 95 31
14.9 62 64 102 31
16.65 53 65 99 42
13.4 50 57 63 39
13.95 36 51 76 25
15.7 76 80 109 31
16.85 66 67 117 38
10.95 62 70 57 31
15.35 59 74 120 17
12.2 47 75 73 22
15.1 55 70 91 55
17.75 58 69 108 62
15.2 60 65 105 51
14.6 44 55 117 30
16.65 57 71 119 49
8.1 45 65 31 16

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time9 seconds
R Server'George Udny Yule' @ yule.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 9 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268307&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]9 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268307&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268307&T=0

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


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time9 seconds
R Server'George Udny Yule' @ yule.wessa.net






Multiple Linear Regression - Estimated Regression Equation
TOT[t] = + 11.7395 + 0.00402169AMS.I[t] -0.0426365AMS.E[t] + 0.015027LFM[t] + 0.0499078CH[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
TOT[t] =  +  11.7395 +  0.00402169AMS.I[t] -0.0426365AMS.E[t] +  0.015027LFM[t] +  0.0499078CH[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268307&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]TOT[t] =  +  11.7395 +  0.00402169AMS.I[t] -0.0426365AMS.E[t] +  0.015027LFM[t] +  0.0499078CH[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268307&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268307&T=1

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


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

Multiple Linear Regression - Estimated Regression Equation
TOT[t] = + 11.7395 + 0.00402169AMS.I[t] -0.0426365AMS.E[t] + 0.015027LFM[t] + 0.0499078CH[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)11.73951.686136.9622.49154e-111.24577e-11
AMS.I0.004021690.01956970.20550.837330.418665
AMS.E-0.04263650.0246507-1.730.08482690.0424135
LFM0.0150270.005263632.8550.00463570.00231785
CH0.04990780.01105064.5169.37231e-064.68615e-06

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Ordinary Least Squares \tabularnewline
Variable & Parameter & S.D. & T-STATH0: parameter = 0 & 2-tail p-value & 1-tail p-value \tabularnewline
(Intercept) & 11.7395 & 1.68613 & 6.962 & 2.49154e-11 & 1.24577e-11 \tabularnewline
AMS.I & 0.00402169 & 0.0195697 & 0.2055 & 0.83733 & 0.418665 \tabularnewline
AMS.E & -0.0426365 & 0.0246507 & -1.73 & 0.0848269 & 0.0424135 \tabularnewline
LFM & 0.015027 & 0.00526363 & 2.855 & 0.0046357 & 0.00231785 \tabularnewline
CH & 0.0499078 & 0.0110506 & 4.516 & 9.37231e-06 & 4.68615e-06 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268307&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]11.7395[/C][C]1.68613[/C][C]6.962[/C][C]2.49154e-11[/C][C]1.24577e-11[/C][/ROW]
[ROW][C]AMS.I[/C][C]0.00402169[/C][C]0.0195697[/C][C]0.2055[/C][C]0.83733[/C][C]0.418665[/C][/ROW]
[ROW][C]AMS.E[/C][C]-0.0426365[/C][C]0.0246507[/C][C]-1.73[/C][C]0.0848269[/C][C]0.0424135[/C][/ROW]
[ROW][C]LFM[/C][C]0.015027[/C][C]0.00526363[/C][C]2.855[/C][C]0.0046357[/C][C]0.00231785[/C][/ROW]
[ROW][C]CH[/C][C]0.0499078[/C][C]0.0110506[/C][C]4.516[/C][C]9.37231e-06[/C][C]4.68615e-06[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268307&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268307&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)11.73951.686136.9622.49154e-111.24577e-11
AMS.I0.004021690.01956970.20550.837330.418665
AMS.E-0.04263650.0246507-1.730.08482690.0424135
LFM0.0150270.005263632.8550.00463570.00231785
CH0.04990780.01105064.5169.37231e-064.68615e-06






Multiple Linear Regression - Regression Statistics
Multiple R0.409498
R-squared0.167688
Adjusted R-squared0.155493
F-TEST (value)13.7505
F-TEST (DF numerator)4
F-TEST (DF denominator)273
p-value3.14228e-10
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation3.11932
Sum Squared Residuals2656.33

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.409498 \tabularnewline
R-squared & 0.167688 \tabularnewline
Adjusted R-squared & 0.155493 \tabularnewline
F-TEST (value) & 13.7505 \tabularnewline
F-TEST (DF numerator) & 4 \tabularnewline
F-TEST (DF denominator) & 273 \tabularnewline
p-value & 3.14228e-10 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 3.11932 \tabularnewline
Sum Squared Residuals & 2656.33 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268307&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.409498[/C][/ROW]
[ROW][C]R-squared[/C][C]0.167688[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.155493[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]13.7505[/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]3.14228e-10[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]3.11932[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]2656.33[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268307&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268307&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 R0.409498
R-squared0.167688
Adjusted R-squared0.155493
F-TEST (value)13.7505
F-TEST (DF numerator)4
F-TEST (DF denominator)273
p-value3.14228e-10
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation3.11932
Sum Squared Residuals2656.33






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
112.915.3449-2.44495
212.213.3604-1.16038
312.813.4069-0.60693
47.414.4503-7.05026
56.713.1804-6.48043
612.615.1385-2.53846
714.814.31970.480307
813.315.116-1.81602
911.114.6781-3.5781
108.214.7739-6.5739
1111.413.9975-2.59754
126.414.7831-8.38308
1310.611.9084-1.30838
141215.3978-3.39781
156.310.5749-4.2749
1611.311.8336-0.533569
1711.914.8417-2.94169
189.312.5902-3.29023
199.613.5187-3.91867
201012.6476-2.64762
216.412.3209-5.92087
2213.812.52261.27741
2310.814.4624-3.66243
2413.815.1676-1.36758
2511.714.0276-2.32758
2610.916.3278-5.42781
2716.115.2860.813972
2813.412.82230.577655
299.914.4386-4.53862
3011.513.0576-1.55758
318.312.5798-4.27982
3211.713.6891-1.98905
33912.5833-3.58331
349.713.9351-4.23511
3510.812.5913-1.79133
3610.312.3139-2.0139
3710.413.1876-2.78755
3812.712.20260.497376
399.314.4518-5.15182
4011.813.6925-1.89245
415.912.8943-6.99434
4211.413.5423-2.14226
431314.1707-1.17065
4410.813.5347-2.73472
4512.311.67220.62781
4611.314.2621-2.96209
4711.813.8038-2.00383
487.912.4914-4.59142
4912.712.8418-0.141758
5012.311.13841.16158
5111.612.3567-0.756651
526.711.1333-4.43327
5310.913.0754-2.17543
5412.112.623-0.523044
5513.313.4269-0.126924
5610.112.474-2.37404
575.712.0275-6.32748
5814.313.26261.03744
59810.2701-2.2701
6013.312.93480.365162
619.315.3637-6.06374
6212.512.26290.237082
637.612.1906-4.59059
6415.915.54110.358888
659.214.036-4.83602
669.111.5124-2.41242
6711.114.8864-3.78637
681317.5784-4.57844
6914.513.33291.16707
7012.212.4691-0.269101
7112.314.8836-2.58362
7211.412.5566-1.15655
738.812.6946-3.89457
7414.614.04950.550525
7512.613.1468-0.546752
76NANA-1.43065
771312.74720.25285
7812.614.0245-1.42454
7913.214.7863-1.58633
809.915.3237-5.42368
817.79.51187-1.81187
8210.59.138641.36136
8313.415.0696-1.66961
8410.918.2549-7.35486
854.37.48914-3.18914
8610.312.5309-2.23094
8711.812.566-0.765955
8811.210.57730.622673
8911.414.6303-3.23026
908.67.939620.660384
9113.212.56430.635742
9212.619.1155-6.5155
935.69.8161-4.2161
949.912.7722-2.87222
958.812.995-4.19501
967.710.548-2.84805
97914.4417-5.4417
987.37.240580.0594222
9911.49.405351.99465
10013.618.0413-4.4413
1017.99.02946-1.12946
10210.712.3442-1.64422
10310.313.5846-3.28457
1048.311.6147-3.31468
1059.67.930841.66916
10614.218.238-4.03799
1078.57.345211.15479
10813.520.4377-6.93766
1094.99.54612-4.64612
1106.49.78979-3.38979
1119.610.1716-0.571597
11211.612.0069-0.406872
11311.117.8443-6.74431
1144.354.063360.286642
11512.77.768444.93156
11618.113.43354.6665
11717.8517.79630.053712
11816.615.09391.50608
11912.611.40451.1955
12017.113.25833.84174
12119.121.6502-2.55022
12216.113.38322.71681
12313.359.816393.53361
12418.413.9034.49698
12514.716.6691-1.96913
12610.610.07690.523129
12712.69.479833.12017
12816.216.19760.00236798
12913.68.964284.63572
13018.916.62432.27575
13114.111.63562.46437
13214.513.80370.696264
13316.1513.73062.41944
13414.7513.02181.72816
13514.814.09590.704122
13612.4512.5863-0.13633
13712.657.896494.75351
13817.3519.408-2.05799
1398.64.847233.75277
14018.417.46180.938164
14116.116.1993-0.0993215
14211.65.922175.67783
14317.7516.7630.986981
14415.2510.34764.90236
14517.6515.14572.50432
14616.3514.08052.26947
14717.6517.46590.184141
14813.612.47431.12572
14914.3513.25441.0956
15014.7510.29584.45421
15118.2521.2987-3.04871
1529.98.612921.28708
1531611.44714.55291
15418.2515.47122.77879
15516.8513.8812.96905
15614.614.37160.228428
15713.8510.83433.01566
15818.9515.97782.97218
15915.615.6879-0.0879362
16014.8515.0553-0.205283
16111.757.90493.8451
16218.4514.98433.46573
16315.913.88352.01648
16417.111.64725.45284
16516.112.22563.87444
16619.919.61140.288623
16710.956.463334.48667
16818.4514.34174.10826
16915.113.0532.04702
1701516.8125-1.81245
17111.358.161733.18827
17215.9511.42454.5255
17318.117.28670.81333
17414.612.61851.98147
17515.413.33332.06674
17615.410.99544.4046
17717.618.3017-0.701673
17813.357.966835.38317
17919.117.73161.36839
18015.3518.467-3.11701
1817.68.96277-1.36277
18213.412.68810.711947
18313.99.218844.68116
18419.117.06062.03938
18515.2515.293-0.0429516
18612.910.52712.37285
18716.110.68035.41973
18817.3516.79150.558481
18913.1512.00671.14327
19012.1511.24590.904081
19112.613.7801-1.18012
19210.358.193952.15605
19315.417.5733-2.17335
1949.64.197235.40277
19518.216.95131.24869
19613.611.92961.67037
19714.8514.07650.773512
19814.7513.42251.32753
19914.110.71973.38028
20014.911.77513.12494
20116.2514.11932.13066
20219.2517.88521.36483
20313.612.98890.611084
20413.610.58643.01358
20515.6514.10811.54191
20612.759.215053.53495
20714.616.341-1.74096
2089.859.024920.825083
20912.658.119314.53069
21019.215.74793.45209
21116.617.0203-0.420339
21211.28.523112.67689
21315.2516.8279-1.57792
21411.99.839592.06041
21513.211.37471.82527
21616.3516.8714-0.521428
21712.49.51862.8814
21815.8511.01884.83123
21918.1518.7855-0.635476
22011.158.901512.24849
22115.6510.39285.25721
22217.7521.0547-3.30466
2237.657.038820.61118
22412.358.18014.1699
22515.610.31485.28519
22619.315.38173.91833
22715.210.39764.80242
22817.113.25123.84884
22915.611.89453.7055
23018.412.77315.62694
23119.0513.30535.74466
23218.5515.10113.44894
23319.117.26791.83213
23413.112.85030.249697
23512.8514.9605-2.11049
2369.516.0865-6.58651
2374.52.922211.57779
23811.8511.51250.337516
23913.615.6374-2.03739
24011.711.03370.666342
24112.412.31630.0836842
24213.3513.3020.0480069
24311.48.819852.58015
24414.910.58314.31689
24519.920.3535-0.453489
24611.29.501421.69858
24714.612.58982.0102
24817.615.88221.71785
24914.0511.98132.06868
25016.114.9751.12502
25113.3513.18470.165255
25211.8512.8449-0.994904
25311.9510.24171.70827
25414.7513.18121.56879
25515.1515.3741-0.224132
25613.210.11033.08975
25716.8519.9691-3.11908
2587.8511.3964-3.54644
2597.78.2406-0.540604
26012.617.8376-5.2376
2617.858.29424-0.444241
26210.9510.52060.42942
26312.3515.0314-2.68138
2649.957.389962.56004
26514.911.0153.88497
26616.6515.65340.996637
26713.411.54951.85048
26813.9510.06933.88073
26915.711.65294.04711
27016.8517.3079-0.457924
27110.957.07333.8767
27215.3514.07571.27432
27312.210.18852.01152
27415.111.0984.00201
27517.7515.88251.86748
27615.213.42681.77321
27714.611.12523.47481
27816.6518.9634-2.31342
2798.1NANA

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 12.9 & 15.3449 & -2.44495 \tabularnewline
2 & 12.2 & 13.3604 & -1.16038 \tabularnewline
3 & 12.8 & 13.4069 & -0.60693 \tabularnewline
4 & 7.4 & 14.4503 & -7.05026 \tabularnewline
5 & 6.7 & 13.1804 & -6.48043 \tabularnewline
6 & 12.6 & 15.1385 & -2.53846 \tabularnewline
7 & 14.8 & 14.3197 & 0.480307 \tabularnewline
8 & 13.3 & 15.116 & -1.81602 \tabularnewline
9 & 11.1 & 14.6781 & -3.5781 \tabularnewline
10 & 8.2 & 14.7739 & -6.5739 \tabularnewline
11 & 11.4 & 13.9975 & -2.59754 \tabularnewline
12 & 6.4 & 14.7831 & -8.38308 \tabularnewline
13 & 10.6 & 11.9084 & -1.30838 \tabularnewline
14 & 12 & 15.3978 & -3.39781 \tabularnewline
15 & 6.3 & 10.5749 & -4.2749 \tabularnewline
16 & 11.3 & 11.8336 & -0.533569 \tabularnewline
17 & 11.9 & 14.8417 & -2.94169 \tabularnewline
18 & 9.3 & 12.5902 & -3.29023 \tabularnewline
19 & 9.6 & 13.5187 & -3.91867 \tabularnewline
20 & 10 & 12.6476 & -2.64762 \tabularnewline
21 & 6.4 & 12.3209 & -5.92087 \tabularnewline
22 & 13.8 & 12.5226 & 1.27741 \tabularnewline
23 & 10.8 & 14.4624 & -3.66243 \tabularnewline
24 & 13.8 & 15.1676 & -1.36758 \tabularnewline
25 & 11.7 & 14.0276 & -2.32758 \tabularnewline
26 & 10.9 & 16.3278 & -5.42781 \tabularnewline
27 & 16.1 & 15.286 & 0.813972 \tabularnewline
28 & 13.4 & 12.8223 & 0.577655 \tabularnewline
29 & 9.9 & 14.4386 & -4.53862 \tabularnewline
30 & 11.5 & 13.0576 & -1.55758 \tabularnewline
31 & 8.3 & 12.5798 & -4.27982 \tabularnewline
32 & 11.7 & 13.6891 & -1.98905 \tabularnewline
33 & 9 & 12.5833 & -3.58331 \tabularnewline
34 & 9.7 & 13.9351 & -4.23511 \tabularnewline
35 & 10.8 & 12.5913 & -1.79133 \tabularnewline
36 & 10.3 & 12.3139 & -2.0139 \tabularnewline
37 & 10.4 & 13.1876 & -2.78755 \tabularnewline
38 & 12.7 & 12.2026 & 0.497376 \tabularnewline
39 & 9.3 & 14.4518 & -5.15182 \tabularnewline
40 & 11.8 & 13.6925 & -1.89245 \tabularnewline
41 & 5.9 & 12.8943 & -6.99434 \tabularnewline
42 & 11.4 & 13.5423 & -2.14226 \tabularnewline
43 & 13 & 14.1707 & -1.17065 \tabularnewline
44 & 10.8 & 13.5347 & -2.73472 \tabularnewline
45 & 12.3 & 11.6722 & 0.62781 \tabularnewline
46 & 11.3 & 14.2621 & -2.96209 \tabularnewline
47 & 11.8 & 13.8038 & -2.00383 \tabularnewline
48 & 7.9 & 12.4914 & -4.59142 \tabularnewline
49 & 12.7 & 12.8418 & -0.141758 \tabularnewline
50 & 12.3 & 11.1384 & 1.16158 \tabularnewline
51 & 11.6 & 12.3567 & -0.756651 \tabularnewline
52 & 6.7 & 11.1333 & -4.43327 \tabularnewline
53 & 10.9 & 13.0754 & -2.17543 \tabularnewline
54 & 12.1 & 12.623 & -0.523044 \tabularnewline
55 & 13.3 & 13.4269 & -0.126924 \tabularnewline
56 & 10.1 & 12.474 & -2.37404 \tabularnewline
57 & 5.7 & 12.0275 & -6.32748 \tabularnewline
58 & 14.3 & 13.2626 & 1.03744 \tabularnewline
59 & 8 & 10.2701 & -2.2701 \tabularnewline
60 & 13.3 & 12.9348 & 0.365162 \tabularnewline
61 & 9.3 & 15.3637 & -6.06374 \tabularnewline
62 & 12.5 & 12.2629 & 0.237082 \tabularnewline
63 & 7.6 & 12.1906 & -4.59059 \tabularnewline
64 & 15.9 & 15.5411 & 0.358888 \tabularnewline
65 & 9.2 & 14.036 & -4.83602 \tabularnewline
66 & 9.1 & 11.5124 & -2.41242 \tabularnewline
67 & 11.1 & 14.8864 & -3.78637 \tabularnewline
68 & 13 & 17.5784 & -4.57844 \tabularnewline
69 & 14.5 & 13.3329 & 1.16707 \tabularnewline
70 & 12.2 & 12.4691 & -0.269101 \tabularnewline
71 & 12.3 & 14.8836 & -2.58362 \tabularnewline
72 & 11.4 & 12.5566 & -1.15655 \tabularnewline
73 & 8.8 & 12.6946 & -3.89457 \tabularnewline
74 & 14.6 & 14.0495 & 0.550525 \tabularnewline
75 & 12.6 & 13.1468 & -0.546752 \tabularnewline
76 & NA & NA & -1.43065 \tabularnewline
77 & 13 & 12.7472 & 0.25285 \tabularnewline
78 & 12.6 & 14.0245 & -1.42454 \tabularnewline
79 & 13.2 & 14.7863 & -1.58633 \tabularnewline
80 & 9.9 & 15.3237 & -5.42368 \tabularnewline
81 & 7.7 & 9.51187 & -1.81187 \tabularnewline
82 & 10.5 & 9.13864 & 1.36136 \tabularnewline
83 & 13.4 & 15.0696 & -1.66961 \tabularnewline
84 & 10.9 & 18.2549 & -7.35486 \tabularnewline
85 & 4.3 & 7.48914 & -3.18914 \tabularnewline
86 & 10.3 & 12.5309 & -2.23094 \tabularnewline
87 & 11.8 & 12.566 & -0.765955 \tabularnewline
88 & 11.2 & 10.5773 & 0.622673 \tabularnewline
89 & 11.4 & 14.6303 & -3.23026 \tabularnewline
90 & 8.6 & 7.93962 & 0.660384 \tabularnewline
91 & 13.2 & 12.5643 & 0.635742 \tabularnewline
92 & 12.6 & 19.1155 & -6.5155 \tabularnewline
93 & 5.6 & 9.8161 & -4.2161 \tabularnewline
94 & 9.9 & 12.7722 & -2.87222 \tabularnewline
95 & 8.8 & 12.995 & -4.19501 \tabularnewline
96 & 7.7 & 10.548 & -2.84805 \tabularnewline
97 & 9 & 14.4417 & -5.4417 \tabularnewline
98 & 7.3 & 7.24058 & 0.0594222 \tabularnewline
99 & 11.4 & 9.40535 & 1.99465 \tabularnewline
100 & 13.6 & 18.0413 & -4.4413 \tabularnewline
101 & 7.9 & 9.02946 & -1.12946 \tabularnewline
102 & 10.7 & 12.3442 & -1.64422 \tabularnewline
103 & 10.3 & 13.5846 & -3.28457 \tabularnewline
104 & 8.3 & 11.6147 & -3.31468 \tabularnewline
105 & 9.6 & 7.93084 & 1.66916 \tabularnewline
106 & 14.2 & 18.238 & -4.03799 \tabularnewline
107 & 8.5 & 7.34521 & 1.15479 \tabularnewline
108 & 13.5 & 20.4377 & -6.93766 \tabularnewline
109 & 4.9 & 9.54612 & -4.64612 \tabularnewline
110 & 6.4 & 9.78979 & -3.38979 \tabularnewline
111 & 9.6 & 10.1716 & -0.571597 \tabularnewline
112 & 11.6 & 12.0069 & -0.406872 \tabularnewline
113 & 11.1 & 17.8443 & -6.74431 \tabularnewline
114 & 4.35 & 4.06336 & 0.286642 \tabularnewline
115 & 12.7 & 7.76844 & 4.93156 \tabularnewline
116 & 18.1 & 13.4335 & 4.6665 \tabularnewline
117 & 17.85 & 17.7963 & 0.053712 \tabularnewline
118 & 16.6 & 15.0939 & 1.50608 \tabularnewline
119 & 12.6 & 11.4045 & 1.1955 \tabularnewline
120 & 17.1 & 13.2583 & 3.84174 \tabularnewline
121 & 19.1 & 21.6502 & -2.55022 \tabularnewline
122 & 16.1 & 13.3832 & 2.71681 \tabularnewline
123 & 13.35 & 9.81639 & 3.53361 \tabularnewline
124 & 18.4 & 13.903 & 4.49698 \tabularnewline
125 & 14.7 & 16.6691 & -1.96913 \tabularnewline
126 & 10.6 & 10.0769 & 0.523129 \tabularnewline
127 & 12.6 & 9.47983 & 3.12017 \tabularnewline
128 & 16.2 & 16.1976 & 0.00236798 \tabularnewline
129 & 13.6 & 8.96428 & 4.63572 \tabularnewline
130 & 18.9 & 16.6243 & 2.27575 \tabularnewline
131 & 14.1 & 11.6356 & 2.46437 \tabularnewline
132 & 14.5 & 13.8037 & 0.696264 \tabularnewline
133 & 16.15 & 13.7306 & 2.41944 \tabularnewline
134 & 14.75 & 13.0218 & 1.72816 \tabularnewline
135 & 14.8 & 14.0959 & 0.704122 \tabularnewline
136 & 12.45 & 12.5863 & -0.13633 \tabularnewline
137 & 12.65 & 7.89649 & 4.75351 \tabularnewline
138 & 17.35 & 19.408 & -2.05799 \tabularnewline
139 & 8.6 & 4.84723 & 3.75277 \tabularnewline
140 & 18.4 & 17.4618 & 0.938164 \tabularnewline
141 & 16.1 & 16.1993 & -0.0993215 \tabularnewline
142 & 11.6 & 5.92217 & 5.67783 \tabularnewline
143 & 17.75 & 16.763 & 0.986981 \tabularnewline
144 & 15.25 & 10.3476 & 4.90236 \tabularnewline
145 & 17.65 & 15.1457 & 2.50432 \tabularnewline
146 & 16.35 & 14.0805 & 2.26947 \tabularnewline
147 & 17.65 & 17.4659 & 0.184141 \tabularnewline
148 & 13.6 & 12.4743 & 1.12572 \tabularnewline
149 & 14.35 & 13.2544 & 1.0956 \tabularnewline
150 & 14.75 & 10.2958 & 4.45421 \tabularnewline
151 & 18.25 & 21.2987 & -3.04871 \tabularnewline
152 & 9.9 & 8.61292 & 1.28708 \tabularnewline
153 & 16 & 11.4471 & 4.55291 \tabularnewline
154 & 18.25 & 15.4712 & 2.77879 \tabularnewline
155 & 16.85 & 13.881 & 2.96905 \tabularnewline
156 & 14.6 & 14.3716 & 0.228428 \tabularnewline
157 & 13.85 & 10.8343 & 3.01566 \tabularnewline
158 & 18.95 & 15.9778 & 2.97218 \tabularnewline
159 & 15.6 & 15.6879 & -0.0879362 \tabularnewline
160 & 14.85 & 15.0553 & -0.205283 \tabularnewline
161 & 11.75 & 7.9049 & 3.8451 \tabularnewline
162 & 18.45 & 14.9843 & 3.46573 \tabularnewline
163 & 15.9 & 13.8835 & 2.01648 \tabularnewline
164 & 17.1 & 11.6472 & 5.45284 \tabularnewline
165 & 16.1 & 12.2256 & 3.87444 \tabularnewline
166 & 19.9 & 19.6114 & 0.288623 \tabularnewline
167 & 10.95 & 6.46333 & 4.48667 \tabularnewline
168 & 18.45 & 14.3417 & 4.10826 \tabularnewline
169 & 15.1 & 13.053 & 2.04702 \tabularnewline
170 & 15 & 16.8125 & -1.81245 \tabularnewline
171 & 11.35 & 8.16173 & 3.18827 \tabularnewline
172 & 15.95 & 11.4245 & 4.5255 \tabularnewline
173 & 18.1 & 17.2867 & 0.81333 \tabularnewline
174 & 14.6 & 12.6185 & 1.98147 \tabularnewline
175 & 15.4 & 13.3333 & 2.06674 \tabularnewline
176 & 15.4 & 10.9954 & 4.4046 \tabularnewline
177 & 17.6 & 18.3017 & -0.701673 \tabularnewline
178 & 13.35 & 7.96683 & 5.38317 \tabularnewline
179 & 19.1 & 17.7316 & 1.36839 \tabularnewline
180 & 15.35 & 18.467 & -3.11701 \tabularnewline
181 & 7.6 & 8.96277 & -1.36277 \tabularnewline
182 & 13.4 & 12.6881 & 0.711947 \tabularnewline
183 & 13.9 & 9.21884 & 4.68116 \tabularnewline
184 & 19.1 & 17.0606 & 2.03938 \tabularnewline
185 & 15.25 & 15.293 & -0.0429516 \tabularnewline
186 & 12.9 & 10.5271 & 2.37285 \tabularnewline
187 & 16.1 & 10.6803 & 5.41973 \tabularnewline
188 & 17.35 & 16.7915 & 0.558481 \tabularnewline
189 & 13.15 & 12.0067 & 1.14327 \tabularnewline
190 & 12.15 & 11.2459 & 0.904081 \tabularnewline
191 & 12.6 & 13.7801 & -1.18012 \tabularnewline
192 & 10.35 & 8.19395 & 2.15605 \tabularnewline
193 & 15.4 & 17.5733 & -2.17335 \tabularnewline
194 & 9.6 & 4.19723 & 5.40277 \tabularnewline
195 & 18.2 & 16.9513 & 1.24869 \tabularnewline
196 & 13.6 & 11.9296 & 1.67037 \tabularnewline
197 & 14.85 & 14.0765 & 0.773512 \tabularnewline
198 & 14.75 & 13.4225 & 1.32753 \tabularnewline
199 & 14.1 & 10.7197 & 3.38028 \tabularnewline
200 & 14.9 & 11.7751 & 3.12494 \tabularnewline
201 & 16.25 & 14.1193 & 2.13066 \tabularnewline
202 & 19.25 & 17.8852 & 1.36483 \tabularnewline
203 & 13.6 & 12.9889 & 0.611084 \tabularnewline
204 & 13.6 & 10.5864 & 3.01358 \tabularnewline
205 & 15.65 & 14.1081 & 1.54191 \tabularnewline
206 & 12.75 & 9.21505 & 3.53495 \tabularnewline
207 & 14.6 & 16.341 & -1.74096 \tabularnewline
208 & 9.85 & 9.02492 & 0.825083 \tabularnewline
209 & 12.65 & 8.11931 & 4.53069 \tabularnewline
210 & 19.2 & 15.7479 & 3.45209 \tabularnewline
211 & 16.6 & 17.0203 & -0.420339 \tabularnewline
212 & 11.2 & 8.52311 & 2.67689 \tabularnewline
213 & 15.25 & 16.8279 & -1.57792 \tabularnewline
214 & 11.9 & 9.83959 & 2.06041 \tabularnewline
215 & 13.2 & 11.3747 & 1.82527 \tabularnewline
216 & 16.35 & 16.8714 & -0.521428 \tabularnewline
217 & 12.4 & 9.5186 & 2.8814 \tabularnewline
218 & 15.85 & 11.0188 & 4.83123 \tabularnewline
219 & 18.15 & 18.7855 & -0.635476 \tabularnewline
220 & 11.15 & 8.90151 & 2.24849 \tabularnewline
221 & 15.65 & 10.3928 & 5.25721 \tabularnewline
222 & 17.75 & 21.0547 & -3.30466 \tabularnewline
223 & 7.65 & 7.03882 & 0.61118 \tabularnewline
224 & 12.35 & 8.1801 & 4.1699 \tabularnewline
225 & 15.6 & 10.3148 & 5.28519 \tabularnewline
226 & 19.3 & 15.3817 & 3.91833 \tabularnewline
227 & 15.2 & 10.3976 & 4.80242 \tabularnewline
228 & 17.1 & 13.2512 & 3.84884 \tabularnewline
229 & 15.6 & 11.8945 & 3.7055 \tabularnewline
230 & 18.4 & 12.7731 & 5.62694 \tabularnewline
231 & 19.05 & 13.3053 & 5.74466 \tabularnewline
232 & 18.55 & 15.1011 & 3.44894 \tabularnewline
233 & 19.1 & 17.2679 & 1.83213 \tabularnewline
234 & 13.1 & 12.8503 & 0.249697 \tabularnewline
235 & 12.85 & 14.9605 & -2.11049 \tabularnewline
236 & 9.5 & 16.0865 & -6.58651 \tabularnewline
237 & 4.5 & 2.92221 & 1.57779 \tabularnewline
238 & 11.85 & 11.5125 & 0.337516 \tabularnewline
239 & 13.6 & 15.6374 & -2.03739 \tabularnewline
240 & 11.7 & 11.0337 & 0.666342 \tabularnewline
241 & 12.4 & 12.3163 & 0.0836842 \tabularnewline
242 & 13.35 & 13.302 & 0.0480069 \tabularnewline
243 & 11.4 & 8.81985 & 2.58015 \tabularnewline
244 & 14.9 & 10.5831 & 4.31689 \tabularnewline
245 & 19.9 & 20.3535 & -0.453489 \tabularnewline
246 & 11.2 & 9.50142 & 1.69858 \tabularnewline
247 & 14.6 & 12.5898 & 2.0102 \tabularnewline
248 & 17.6 & 15.8822 & 1.71785 \tabularnewline
249 & 14.05 & 11.9813 & 2.06868 \tabularnewline
250 & 16.1 & 14.975 & 1.12502 \tabularnewline
251 & 13.35 & 13.1847 & 0.165255 \tabularnewline
252 & 11.85 & 12.8449 & -0.994904 \tabularnewline
253 & 11.95 & 10.2417 & 1.70827 \tabularnewline
254 & 14.75 & 13.1812 & 1.56879 \tabularnewline
255 & 15.15 & 15.3741 & -0.224132 \tabularnewline
256 & 13.2 & 10.1103 & 3.08975 \tabularnewline
257 & 16.85 & 19.9691 & -3.11908 \tabularnewline
258 & 7.85 & 11.3964 & -3.54644 \tabularnewline
259 & 7.7 & 8.2406 & -0.540604 \tabularnewline
260 & 12.6 & 17.8376 & -5.2376 \tabularnewline
261 & 7.85 & 8.29424 & -0.444241 \tabularnewline
262 & 10.95 & 10.5206 & 0.42942 \tabularnewline
263 & 12.35 & 15.0314 & -2.68138 \tabularnewline
264 & 9.95 & 7.38996 & 2.56004 \tabularnewline
265 & 14.9 & 11.015 & 3.88497 \tabularnewline
266 & 16.65 & 15.6534 & 0.996637 \tabularnewline
267 & 13.4 & 11.5495 & 1.85048 \tabularnewline
268 & 13.95 & 10.0693 & 3.88073 \tabularnewline
269 & 15.7 & 11.6529 & 4.04711 \tabularnewline
270 & 16.85 & 17.3079 & -0.457924 \tabularnewline
271 & 10.95 & 7.0733 & 3.8767 \tabularnewline
272 & 15.35 & 14.0757 & 1.27432 \tabularnewline
273 & 12.2 & 10.1885 & 2.01152 \tabularnewline
274 & 15.1 & 11.098 & 4.00201 \tabularnewline
275 & 17.75 & 15.8825 & 1.86748 \tabularnewline
276 & 15.2 & 13.4268 & 1.77321 \tabularnewline
277 & 14.6 & 11.1252 & 3.47481 \tabularnewline
278 & 16.65 & 18.9634 & -2.31342 \tabularnewline
279 & 8.1 & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268307&T=4

[TABLE]
[ROW][C]Multiple Linear Regression - Actuals, Interpolation, and Residuals[/C][/ROW]
[ROW][C]Time or Index[/C][C]Actuals[/C][C]InterpolationForecast[/C][C]ResidualsPrediction Error[/C][/ROW]
[ROW][C]1[/C][C]12.9[/C][C]15.3449[/C][C]-2.44495[/C][/ROW]
[ROW][C]2[/C][C]12.2[/C][C]13.3604[/C][C]-1.16038[/C][/ROW]
[ROW][C]3[/C][C]12.8[/C][C]13.4069[/C][C]-0.60693[/C][/ROW]
[ROW][C]4[/C][C]7.4[/C][C]14.4503[/C][C]-7.05026[/C][/ROW]
[ROW][C]5[/C][C]6.7[/C][C]13.1804[/C][C]-6.48043[/C][/ROW]
[ROW][C]6[/C][C]12.6[/C][C]15.1385[/C][C]-2.53846[/C][/ROW]
[ROW][C]7[/C][C]14.8[/C][C]14.3197[/C][C]0.480307[/C][/ROW]
[ROW][C]8[/C][C]13.3[/C][C]15.116[/C][C]-1.81602[/C][/ROW]
[ROW][C]9[/C][C]11.1[/C][C]14.6781[/C][C]-3.5781[/C][/ROW]
[ROW][C]10[/C][C]8.2[/C][C]14.7739[/C][C]-6.5739[/C][/ROW]
[ROW][C]11[/C][C]11.4[/C][C]13.9975[/C][C]-2.59754[/C][/ROW]
[ROW][C]12[/C][C]6.4[/C][C]14.7831[/C][C]-8.38308[/C][/ROW]
[ROW][C]13[/C][C]10.6[/C][C]11.9084[/C][C]-1.30838[/C][/ROW]
[ROW][C]14[/C][C]12[/C][C]15.3978[/C][C]-3.39781[/C][/ROW]
[ROW][C]15[/C][C]6.3[/C][C]10.5749[/C][C]-4.2749[/C][/ROW]
[ROW][C]16[/C][C]11.3[/C][C]11.8336[/C][C]-0.533569[/C][/ROW]
[ROW][C]17[/C][C]11.9[/C][C]14.8417[/C][C]-2.94169[/C][/ROW]
[ROW][C]18[/C][C]9.3[/C][C]12.5902[/C][C]-3.29023[/C][/ROW]
[ROW][C]19[/C][C]9.6[/C][C]13.5187[/C][C]-3.91867[/C][/ROW]
[ROW][C]20[/C][C]10[/C][C]12.6476[/C][C]-2.64762[/C][/ROW]
[ROW][C]21[/C][C]6.4[/C][C]12.3209[/C][C]-5.92087[/C][/ROW]
[ROW][C]22[/C][C]13.8[/C][C]12.5226[/C][C]1.27741[/C][/ROW]
[ROW][C]23[/C][C]10.8[/C][C]14.4624[/C][C]-3.66243[/C][/ROW]
[ROW][C]24[/C][C]13.8[/C][C]15.1676[/C][C]-1.36758[/C][/ROW]
[ROW][C]25[/C][C]11.7[/C][C]14.0276[/C][C]-2.32758[/C][/ROW]
[ROW][C]26[/C][C]10.9[/C][C]16.3278[/C][C]-5.42781[/C][/ROW]
[ROW][C]27[/C][C]16.1[/C][C]15.286[/C][C]0.813972[/C][/ROW]
[ROW][C]28[/C][C]13.4[/C][C]12.8223[/C][C]0.577655[/C][/ROW]
[ROW][C]29[/C][C]9.9[/C][C]14.4386[/C][C]-4.53862[/C][/ROW]
[ROW][C]30[/C][C]11.5[/C][C]13.0576[/C][C]-1.55758[/C][/ROW]
[ROW][C]31[/C][C]8.3[/C][C]12.5798[/C][C]-4.27982[/C][/ROW]
[ROW][C]32[/C][C]11.7[/C][C]13.6891[/C][C]-1.98905[/C][/ROW]
[ROW][C]33[/C][C]9[/C][C]12.5833[/C][C]-3.58331[/C][/ROW]
[ROW][C]34[/C][C]9.7[/C][C]13.9351[/C][C]-4.23511[/C][/ROW]
[ROW][C]35[/C][C]10.8[/C][C]12.5913[/C][C]-1.79133[/C][/ROW]
[ROW][C]36[/C][C]10.3[/C][C]12.3139[/C][C]-2.0139[/C][/ROW]
[ROW][C]37[/C][C]10.4[/C][C]13.1876[/C][C]-2.78755[/C][/ROW]
[ROW][C]38[/C][C]12.7[/C][C]12.2026[/C][C]0.497376[/C][/ROW]
[ROW][C]39[/C][C]9.3[/C][C]14.4518[/C][C]-5.15182[/C][/ROW]
[ROW][C]40[/C][C]11.8[/C][C]13.6925[/C][C]-1.89245[/C][/ROW]
[ROW][C]41[/C][C]5.9[/C][C]12.8943[/C][C]-6.99434[/C][/ROW]
[ROW][C]42[/C][C]11.4[/C][C]13.5423[/C][C]-2.14226[/C][/ROW]
[ROW][C]43[/C][C]13[/C][C]14.1707[/C][C]-1.17065[/C][/ROW]
[ROW][C]44[/C][C]10.8[/C][C]13.5347[/C][C]-2.73472[/C][/ROW]
[ROW][C]45[/C][C]12.3[/C][C]11.6722[/C][C]0.62781[/C][/ROW]
[ROW][C]46[/C][C]11.3[/C][C]14.2621[/C][C]-2.96209[/C][/ROW]
[ROW][C]47[/C][C]11.8[/C][C]13.8038[/C][C]-2.00383[/C][/ROW]
[ROW][C]48[/C][C]7.9[/C][C]12.4914[/C][C]-4.59142[/C][/ROW]
[ROW][C]49[/C][C]12.7[/C][C]12.8418[/C][C]-0.141758[/C][/ROW]
[ROW][C]50[/C][C]12.3[/C][C]11.1384[/C][C]1.16158[/C][/ROW]
[ROW][C]51[/C][C]11.6[/C][C]12.3567[/C][C]-0.756651[/C][/ROW]
[ROW][C]52[/C][C]6.7[/C][C]11.1333[/C][C]-4.43327[/C][/ROW]
[ROW][C]53[/C][C]10.9[/C][C]13.0754[/C][C]-2.17543[/C][/ROW]
[ROW][C]54[/C][C]12.1[/C][C]12.623[/C][C]-0.523044[/C][/ROW]
[ROW][C]55[/C][C]13.3[/C][C]13.4269[/C][C]-0.126924[/C][/ROW]
[ROW][C]56[/C][C]10.1[/C][C]12.474[/C][C]-2.37404[/C][/ROW]
[ROW][C]57[/C][C]5.7[/C][C]12.0275[/C][C]-6.32748[/C][/ROW]
[ROW][C]58[/C][C]14.3[/C][C]13.2626[/C][C]1.03744[/C][/ROW]
[ROW][C]59[/C][C]8[/C][C]10.2701[/C][C]-2.2701[/C][/ROW]
[ROW][C]60[/C][C]13.3[/C][C]12.9348[/C][C]0.365162[/C][/ROW]
[ROW][C]61[/C][C]9.3[/C][C]15.3637[/C][C]-6.06374[/C][/ROW]
[ROW][C]62[/C][C]12.5[/C][C]12.2629[/C][C]0.237082[/C][/ROW]
[ROW][C]63[/C][C]7.6[/C][C]12.1906[/C][C]-4.59059[/C][/ROW]
[ROW][C]64[/C][C]15.9[/C][C]15.5411[/C][C]0.358888[/C][/ROW]
[ROW][C]65[/C][C]9.2[/C][C]14.036[/C][C]-4.83602[/C][/ROW]
[ROW][C]66[/C][C]9.1[/C][C]11.5124[/C][C]-2.41242[/C][/ROW]
[ROW][C]67[/C][C]11.1[/C][C]14.8864[/C][C]-3.78637[/C][/ROW]
[ROW][C]68[/C][C]13[/C][C]17.5784[/C][C]-4.57844[/C][/ROW]
[ROW][C]69[/C][C]14.5[/C][C]13.3329[/C][C]1.16707[/C][/ROW]
[ROW][C]70[/C][C]12.2[/C][C]12.4691[/C][C]-0.269101[/C][/ROW]
[ROW][C]71[/C][C]12.3[/C][C]14.8836[/C][C]-2.58362[/C][/ROW]
[ROW][C]72[/C][C]11.4[/C][C]12.5566[/C][C]-1.15655[/C][/ROW]
[ROW][C]73[/C][C]8.8[/C][C]12.6946[/C][C]-3.89457[/C][/ROW]
[ROW][C]74[/C][C]14.6[/C][C]14.0495[/C][C]0.550525[/C][/ROW]
[ROW][C]75[/C][C]12.6[/C][C]13.1468[/C][C]-0.546752[/C][/ROW]
[ROW][C]76[/C][C]NA[/C][C]NA[/C][C]-1.43065[/C][/ROW]
[ROW][C]77[/C][C]13[/C][C]12.7472[/C][C]0.25285[/C][/ROW]
[ROW][C]78[/C][C]12.6[/C][C]14.0245[/C][C]-1.42454[/C][/ROW]
[ROW][C]79[/C][C]13.2[/C][C]14.7863[/C][C]-1.58633[/C][/ROW]
[ROW][C]80[/C][C]9.9[/C][C]15.3237[/C][C]-5.42368[/C][/ROW]
[ROW][C]81[/C][C]7.7[/C][C]9.51187[/C][C]-1.81187[/C][/ROW]
[ROW][C]82[/C][C]10.5[/C][C]9.13864[/C][C]1.36136[/C][/ROW]
[ROW][C]83[/C][C]13.4[/C][C]15.0696[/C][C]-1.66961[/C][/ROW]
[ROW][C]84[/C][C]10.9[/C][C]18.2549[/C][C]-7.35486[/C][/ROW]
[ROW][C]85[/C][C]4.3[/C][C]7.48914[/C][C]-3.18914[/C][/ROW]
[ROW][C]86[/C][C]10.3[/C][C]12.5309[/C][C]-2.23094[/C][/ROW]
[ROW][C]87[/C][C]11.8[/C][C]12.566[/C][C]-0.765955[/C][/ROW]
[ROW][C]88[/C][C]11.2[/C][C]10.5773[/C][C]0.622673[/C][/ROW]
[ROW][C]89[/C][C]11.4[/C][C]14.6303[/C][C]-3.23026[/C][/ROW]
[ROW][C]90[/C][C]8.6[/C][C]7.93962[/C][C]0.660384[/C][/ROW]
[ROW][C]91[/C][C]13.2[/C][C]12.5643[/C][C]0.635742[/C][/ROW]
[ROW][C]92[/C][C]12.6[/C][C]19.1155[/C][C]-6.5155[/C][/ROW]
[ROW][C]93[/C][C]5.6[/C][C]9.8161[/C][C]-4.2161[/C][/ROW]
[ROW][C]94[/C][C]9.9[/C][C]12.7722[/C][C]-2.87222[/C][/ROW]
[ROW][C]95[/C][C]8.8[/C][C]12.995[/C][C]-4.19501[/C][/ROW]
[ROW][C]96[/C][C]7.7[/C][C]10.548[/C][C]-2.84805[/C][/ROW]
[ROW][C]97[/C][C]9[/C][C]14.4417[/C][C]-5.4417[/C][/ROW]
[ROW][C]98[/C][C]7.3[/C][C]7.24058[/C][C]0.0594222[/C][/ROW]
[ROW][C]99[/C][C]11.4[/C][C]9.40535[/C][C]1.99465[/C][/ROW]
[ROW][C]100[/C][C]13.6[/C][C]18.0413[/C][C]-4.4413[/C][/ROW]
[ROW][C]101[/C][C]7.9[/C][C]9.02946[/C][C]-1.12946[/C][/ROW]
[ROW][C]102[/C][C]10.7[/C][C]12.3442[/C][C]-1.64422[/C][/ROW]
[ROW][C]103[/C][C]10.3[/C][C]13.5846[/C][C]-3.28457[/C][/ROW]
[ROW][C]104[/C][C]8.3[/C][C]11.6147[/C][C]-3.31468[/C][/ROW]
[ROW][C]105[/C][C]9.6[/C][C]7.93084[/C][C]1.66916[/C][/ROW]
[ROW][C]106[/C][C]14.2[/C][C]18.238[/C][C]-4.03799[/C][/ROW]
[ROW][C]107[/C][C]8.5[/C][C]7.34521[/C][C]1.15479[/C][/ROW]
[ROW][C]108[/C][C]13.5[/C][C]20.4377[/C][C]-6.93766[/C][/ROW]
[ROW][C]109[/C][C]4.9[/C][C]9.54612[/C][C]-4.64612[/C][/ROW]
[ROW][C]110[/C][C]6.4[/C][C]9.78979[/C][C]-3.38979[/C][/ROW]
[ROW][C]111[/C][C]9.6[/C][C]10.1716[/C][C]-0.571597[/C][/ROW]
[ROW][C]112[/C][C]11.6[/C][C]12.0069[/C][C]-0.406872[/C][/ROW]
[ROW][C]113[/C][C]11.1[/C][C]17.8443[/C][C]-6.74431[/C][/ROW]
[ROW][C]114[/C][C]4.35[/C][C]4.06336[/C][C]0.286642[/C][/ROW]
[ROW][C]115[/C][C]12.7[/C][C]7.76844[/C][C]4.93156[/C][/ROW]
[ROW][C]116[/C][C]18.1[/C][C]13.4335[/C][C]4.6665[/C][/ROW]
[ROW][C]117[/C][C]17.85[/C][C]17.7963[/C][C]0.053712[/C][/ROW]
[ROW][C]118[/C][C]16.6[/C][C]15.0939[/C][C]1.50608[/C][/ROW]
[ROW][C]119[/C][C]12.6[/C][C]11.4045[/C][C]1.1955[/C][/ROW]
[ROW][C]120[/C][C]17.1[/C][C]13.2583[/C][C]3.84174[/C][/ROW]
[ROW][C]121[/C][C]19.1[/C][C]21.6502[/C][C]-2.55022[/C][/ROW]
[ROW][C]122[/C][C]16.1[/C][C]13.3832[/C][C]2.71681[/C][/ROW]
[ROW][C]123[/C][C]13.35[/C][C]9.81639[/C][C]3.53361[/C][/ROW]
[ROW][C]124[/C][C]18.4[/C][C]13.903[/C][C]4.49698[/C][/ROW]
[ROW][C]125[/C][C]14.7[/C][C]16.6691[/C][C]-1.96913[/C][/ROW]
[ROW][C]126[/C][C]10.6[/C][C]10.0769[/C][C]0.523129[/C][/ROW]
[ROW][C]127[/C][C]12.6[/C][C]9.47983[/C][C]3.12017[/C][/ROW]
[ROW][C]128[/C][C]16.2[/C][C]16.1976[/C][C]0.00236798[/C][/ROW]
[ROW][C]129[/C][C]13.6[/C][C]8.96428[/C][C]4.63572[/C][/ROW]
[ROW][C]130[/C][C]18.9[/C][C]16.6243[/C][C]2.27575[/C][/ROW]
[ROW][C]131[/C][C]14.1[/C][C]11.6356[/C][C]2.46437[/C][/ROW]
[ROW][C]132[/C][C]14.5[/C][C]13.8037[/C][C]0.696264[/C][/ROW]
[ROW][C]133[/C][C]16.15[/C][C]13.7306[/C][C]2.41944[/C][/ROW]
[ROW][C]134[/C][C]14.75[/C][C]13.0218[/C][C]1.72816[/C][/ROW]
[ROW][C]135[/C][C]14.8[/C][C]14.0959[/C][C]0.704122[/C][/ROW]
[ROW][C]136[/C][C]12.45[/C][C]12.5863[/C][C]-0.13633[/C][/ROW]
[ROW][C]137[/C][C]12.65[/C][C]7.89649[/C][C]4.75351[/C][/ROW]
[ROW][C]138[/C][C]17.35[/C][C]19.408[/C][C]-2.05799[/C][/ROW]
[ROW][C]139[/C][C]8.6[/C][C]4.84723[/C][C]3.75277[/C][/ROW]
[ROW][C]140[/C][C]18.4[/C][C]17.4618[/C][C]0.938164[/C][/ROW]
[ROW][C]141[/C][C]16.1[/C][C]16.1993[/C][C]-0.0993215[/C][/ROW]
[ROW][C]142[/C][C]11.6[/C][C]5.92217[/C][C]5.67783[/C][/ROW]
[ROW][C]143[/C][C]17.75[/C][C]16.763[/C][C]0.986981[/C][/ROW]
[ROW][C]144[/C][C]15.25[/C][C]10.3476[/C][C]4.90236[/C][/ROW]
[ROW][C]145[/C][C]17.65[/C][C]15.1457[/C][C]2.50432[/C][/ROW]
[ROW][C]146[/C][C]16.35[/C][C]14.0805[/C][C]2.26947[/C][/ROW]
[ROW][C]147[/C][C]17.65[/C][C]17.4659[/C][C]0.184141[/C][/ROW]
[ROW][C]148[/C][C]13.6[/C][C]12.4743[/C][C]1.12572[/C][/ROW]
[ROW][C]149[/C][C]14.35[/C][C]13.2544[/C][C]1.0956[/C][/ROW]
[ROW][C]150[/C][C]14.75[/C][C]10.2958[/C][C]4.45421[/C][/ROW]
[ROW][C]151[/C][C]18.25[/C][C]21.2987[/C][C]-3.04871[/C][/ROW]
[ROW][C]152[/C][C]9.9[/C][C]8.61292[/C][C]1.28708[/C][/ROW]
[ROW][C]153[/C][C]16[/C][C]11.4471[/C][C]4.55291[/C][/ROW]
[ROW][C]154[/C][C]18.25[/C][C]15.4712[/C][C]2.77879[/C][/ROW]
[ROW][C]155[/C][C]16.85[/C][C]13.881[/C][C]2.96905[/C][/ROW]
[ROW][C]156[/C][C]14.6[/C][C]14.3716[/C][C]0.228428[/C][/ROW]
[ROW][C]157[/C][C]13.85[/C][C]10.8343[/C][C]3.01566[/C][/ROW]
[ROW][C]158[/C][C]18.95[/C][C]15.9778[/C][C]2.97218[/C][/ROW]
[ROW][C]159[/C][C]15.6[/C][C]15.6879[/C][C]-0.0879362[/C][/ROW]
[ROW][C]160[/C][C]14.85[/C][C]15.0553[/C][C]-0.205283[/C][/ROW]
[ROW][C]161[/C][C]11.75[/C][C]7.9049[/C][C]3.8451[/C][/ROW]
[ROW][C]162[/C][C]18.45[/C][C]14.9843[/C][C]3.46573[/C][/ROW]
[ROW][C]163[/C][C]15.9[/C][C]13.8835[/C][C]2.01648[/C][/ROW]
[ROW][C]164[/C][C]17.1[/C][C]11.6472[/C][C]5.45284[/C][/ROW]
[ROW][C]165[/C][C]16.1[/C][C]12.2256[/C][C]3.87444[/C][/ROW]
[ROW][C]166[/C][C]19.9[/C][C]19.6114[/C][C]0.288623[/C][/ROW]
[ROW][C]167[/C][C]10.95[/C][C]6.46333[/C][C]4.48667[/C][/ROW]
[ROW][C]168[/C][C]18.45[/C][C]14.3417[/C][C]4.10826[/C][/ROW]
[ROW][C]169[/C][C]15.1[/C][C]13.053[/C][C]2.04702[/C][/ROW]
[ROW][C]170[/C][C]15[/C][C]16.8125[/C][C]-1.81245[/C][/ROW]
[ROW][C]171[/C][C]11.35[/C][C]8.16173[/C][C]3.18827[/C][/ROW]
[ROW][C]172[/C][C]15.95[/C][C]11.4245[/C][C]4.5255[/C][/ROW]
[ROW][C]173[/C][C]18.1[/C][C]17.2867[/C][C]0.81333[/C][/ROW]
[ROW][C]174[/C][C]14.6[/C][C]12.6185[/C][C]1.98147[/C][/ROW]
[ROW][C]175[/C][C]15.4[/C][C]13.3333[/C][C]2.06674[/C][/ROW]
[ROW][C]176[/C][C]15.4[/C][C]10.9954[/C][C]4.4046[/C][/ROW]
[ROW][C]177[/C][C]17.6[/C][C]18.3017[/C][C]-0.701673[/C][/ROW]
[ROW][C]178[/C][C]13.35[/C][C]7.96683[/C][C]5.38317[/C][/ROW]
[ROW][C]179[/C][C]19.1[/C][C]17.7316[/C][C]1.36839[/C][/ROW]
[ROW][C]180[/C][C]15.35[/C][C]18.467[/C][C]-3.11701[/C][/ROW]
[ROW][C]181[/C][C]7.6[/C][C]8.96277[/C][C]-1.36277[/C][/ROW]
[ROW][C]182[/C][C]13.4[/C][C]12.6881[/C][C]0.711947[/C][/ROW]
[ROW][C]183[/C][C]13.9[/C][C]9.21884[/C][C]4.68116[/C][/ROW]
[ROW][C]184[/C][C]19.1[/C][C]17.0606[/C][C]2.03938[/C][/ROW]
[ROW][C]185[/C][C]15.25[/C][C]15.293[/C][C]-0.0429516[/C][/ROW]
[ROW][C]186[/C][C]12.9[/C][C]10.5271[/C][C]2.37285[/C][/ROW]
[ROW][C]187[/C][C]16.1[/C][C]10.6803[/C][C]5.41973[/C][/ROW]
[ROW][C]188[/C][C]17.35[/C][C]16.7915[/C][C]0.558481[/C][/ROW]
[ROW][C]189[/C][C]13.15[/C][C]12.0067[/C][C]1.14327[/C][/ROW]
[ROW][C]190[/C][C]12.15[/C][C]11.2459[/C][C]0.904081[/C][/ROW]
[ROW][C]191[/C][C]12.6[/C][C]13.7801[/C][C]-1.18012[/C][/ROW]
[ROW][C]192[/C][C]10.35[/C][C]8.19395[/C][C]2.15605[/C][/ROW]
[ROW][C]193[/C][C]15.4[/C][C]17.5733[/C][C]-2.17335[/C][/ROW]
[ROW][C]194[/C][C]9.6[/C][C]4.19723[/C][C]5.40277[/C][/ROW]
[ROW][C]195[/C][C]18.2[/C][C]16.9513[/C][C]1.24869[/C][/ROW]
[ROW][C]196[/C][C]13.6[/C][C]11.9296[/C][C]1.67037[/C][/ROW]
[ROW][C]197[/C][C]14.85[/C][C]14.0765[/C][C]0.773512[/C][/ROW]
[ROW][C]198[/C][C]14.75[/C][C]13.4225[/C][C]1.32753[/C][/ROW]
[ROW][C]199[/C][C]14.1[/C][C]10.7197[/C][C]3.38028[/C][/ROW]
[ROW][C]200[/C][C]14.9[/C][C]11.7751[/C][C]3.12494[/C][/ROW]
[ROW][C]201[/C][C]16.25[/C][C]14.1193[/C][C]2.13066[/C][/ROW]
[ROW][C]202[/C][C]19.25[/C][C]17.8852[/C][C]1.36483[/C][/ROW]
[ROW][C]203[/C][C]13.6[/C][C]12.9889[/C][C]0.611084[/C][/ROW]
[ROW][C]204[/C][C]13.6[/C][C]10.5864[/C][C]3.01358[/C][/ROW]
[ROW][C]205[/C][C]15.65[/C][C]14.1081[/C][C]1.54191[/C][/ROW]
[ROW][C]206[/C][C]12.75[/C][C]9.21505[/C][C]3.53495[/C][/ROW]
[ROW][C]207[/C][C]14.6[/C][C]16.341[/C][C]-1.74096[/C][/ROW]
[ROW][C]208[/C][C]9.85[/C][C]9.02492[/C][C]0.825083[/C][/ROW]
[ROW][C]209[/C][C]12.65[/C][C]8.11931[/C][C]4.53069[/C][/ROW]
[ROW][C]210[/C][C]19.2[/C][C]15.7479[/C][C]3.45209[/C][/ROW]
[ROW][C]211[/C][C]16.6[/C][C]17.0203[/C][C]-0.420339[/C][/ROW]
[ROW][C]212[/C][C]11.2[/C][C]8.52311[/C][C]2.67689[/C][/ROW]
[ROW][C]213[/C][C]15.25[/C][C]16.8279[/C][C]-1.57792[/C][/ROW]
[ROW][C]214[/C][C]11.9[/C][C]9.83959[/C][C]2.06041[/C][/ROW]
[ROW][C]215[/C][C]13.2[/C][C]11.3747[/C][C]1.82527[/C][/ROW]
[ROW][C]216[/C][C]16.35[/C][C]16.8714[/C][C]-0.521428[/C][/ROW]
[ROW][C]217[/C][C]12.4[/C][C]9.5186[/C][C]2.8814[/C][/ROW]
[ROW][C]218[/C][C]15.85[/C][C]11.0188[/C][C]4.83123[/C][/ROW]
[ROW][C]219[/C][C]18.15[/C][C]18.7855[/C][C]-0.635476[/C][/ROW]
[ROW][C]220[/C][C]11.15[/C][C]8.90151[/C][C]2.24849[/C][/ROW]
[ROW][C]221[/C][C]15.65[/C][C]10.3928[/C][C]5.25721[/C][/ROW]
[ROW][C]222[/C][C]17.75[/C][C]21.0547[/C][C]-3.30466[/C][/ROW]
[ROW][C]223[/C][C]7.65[/C][C]7.03882[/C][C]0.61118[/C][/ROW]
[ROW][C]224[/C][C]12.35[/C][C]8.1801[/C][C]4.1699[/C][/ROW]
[ROW][C]225[/C][C]15.6[/C][C]10.3148[/C][C]5.28519[/C][/ROW]
[ROW][C]226[/C][C]19.3[/C][C]15.3817[/C][C]3.91833[/C][/ROW]
[ROW][C]227[/C][C]15.2[/C][C]10.3976[/C][C]4.80242[/C][/ROW]
[ROW][C]228[/C][C]17.1[/C][C]13.2512[/C][C]3.84884[/C][/ROW]
[ROW][C]229[/C][C]15.6[/C][C]11.8945[/C][C]3.7055[/C][/ROW]
[ROW][C]230[/C][C]18.4[/C][C]12.7731[/C][C]5.62694[/C][/ROW]
[ROW][C]231[/C][C]19.05[/C][C]13.3053[/C][C]5.74466[/C][/ROW]
[ROW][C]232[/C][C]18.55[/C][C]15.1011[/C][C]3.44894[/C][/ROW]
[ROW][C]233[/C][C]19.1[/C][C]17.2679[/C][C]1.83213[/C][/ROW]
[ROW][C]234[/C][C]13.1[/C][C]12.8503[/C][C]0.249697[/C][/ROW]
[ROW][C]235[/C][C]12.85[/C][C]14.9605[/C][C]-2.11049[/C][/ROW]
[ROW][C]236[/C][C]9.5[/C][C]16.0865[/C][C]-6.58651[/C][/ROW]
[ROW][C]237[/C][C]4.5[/C][C]2.92221[/C][C]1.57779[/C][/ROW]
[ROW][C]238[/C][C]11.85[/C][C]11.5125[/C][C]0.337516[/C][/ROW]
[ROW][C]239[/C][C]13.6[/C][C]15.6374[/C][C]-2.03739[/C][/ROW]
[ROW][C]240[/C][C]11.7[/C][C]11.0337[/C][C]0.666342[/C][/ROW]
[ROW][C]241[/C][C]12.4[/C][C]12.3163[/C][C]0.0836842[/C][/ROW]
[ROW][C]242[/C][C]13.35[/C][C]13.302[/C][C]0.0480069[/C][/ROW]
[ROW][C]243[/C][C]11.4[/C][C]8.81985[/C][C]2.58015[/C][/ROW]
[ROW][C]244[/C][C]14.9[/C][C]10.5831[/C][C]4.31689[/C][/ROW]
[ROW][C]245[/C][C]19.9[/C][C]20.3535[/C][C]-0.453489[/C][/ROW]
[ROW][C]246[/C][C]11.2[/C][C]9.50142[/C][C]1.69858[/C][/ROW]
[ROW][C]247[/C][C]14.6[/C][C]12.5898[/C][C]2.0102[/C][/ROW]
[ROW][C]248[/C][C]17.6[/C][C]15.8822[/C][C]1.71785[/C][/ROW]
[ROW][C]249[/C][C]14.05[/C][C]11.9813[/C][C]2.06868[/C][/ROW]
[ROW][C]250[/C][C]16.1[/C][C]14.975[/C][C]1.12502[/C][/ROW]
[ROW][C]251[/C][C]13.35[/C][C]13.1847[/C][C]0.165255[/C][/ROW]
[ROW][C]252[/C][C]11.85[/C][C]12.8449[/C][C]-0.994904[/C][/ROW]
[ROW][C]253[/C][C]11.95[/C][C]10.2417[/C][C]1.70827[/C][/ROW]
[ROW][C]254[/C][C]14.75[/C][C]13.1812[/C][C]1.56879[/C][/ROW]
[ROW][C]255[/C][C]15.15[/C][C]15.3741[/C][C]-0.224132[/C][/ROW]
[ROW][C]256[/C][C]13.2[/C][C]10.1103[/C][C]3.08975[/C][/ROW]
[ROW][C]257[/C][C]16.85[/C][C]19.9691[/C][C]-3.11908[/C][/ROW]
[ROW][C]258[/C][C]7.85[/C][C]11.3964[/C][C]-3.54644[/C][/ROW]
[ROW][C]259[/C][C]7.7[/C][C]8.2406[/C][C]-0.540604[/C][/ROW]
[ROW][C]260[/C][C]12.6[/C][C]17.8376[/C][C]-5.2376[/C][/ROW]
[ROW][C]261[/C][C]7.85[/C][C]8.29424[/C][C]-0.444241[/C][/ROW]
[ROW][C]262[/C][C]10.95[/C][C]10.5206[/C][C]0.42942[/C][/ROW]
[ROW][C]263[/C][C]12.35[/C][C]15.0314[/C][C]-2.68138[/C][/ROW]
[ROW][C]264[/C][C]9.95[/C][C]7.38996[/C][C]2.56004[/C][/ROW]
[ROW][C]265[/C][C]14.9[/C][C]11.015[/C][C]3.88497[/C][/ROW]
[ROW][C]266[/C][C]16.65[/C][C]15.6534[/C][C]0.996637[/C][/ROW]
[ROW][C]267[/C][C]13.4[/C][C]11.5495[/C][C]1.85048[/C][/ROW]
[ROW][C]268[/C][C]13.95[/C][C]10.0693[/C][C]3.88073[/C][/ROW]
[ROW][C]269[/C][C]15.7[/C][C]11.6529[/C][C]4.04711[/C][/ROW]
[ROW][C]270[/C][C]16.85[/C][C]17.3079[/C][C]-0.457924[/C][/ROW]
[ROW][C]271[/C][C]10.95[/C][C]7.0733[/C][C]3.8767[/C][/ROW]
[ROW][C]272[/C][C]15.35[/C][C]14.0757[/C][C]1.27432[/C][/ROW]
[ROW][C]273[/C][C]12.2[/C][C]10.1885[/C][C]2.01152[/C][/ROW]
[ROW][C]274[/C][C]15.1[/C][C]11.098[/C][C]4.00201[/C][/ROW]
[ROW][C]275[/C][C]17.75[/C][C]15.8825[/C][C]1.86748[/C][/ROW]
[ROW][C]276[/C][C]15.2[/C][C]13.4268[/C][C]1.77321[/C][/ROW]
[ROW][C]277[/C][C]14.6[/C][C]11.1252[/C][C]3.47481[/C][/ROW]
[ROW][C]278[/C][C]16.65[/C][C]18.9634[/C][C]-2.31342[/C][/ROW]
[ROW][C]279[/C][C]8.1[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268307&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268307&T=4

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


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

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
112.915.3449-2.44495
212.213.3604-1.16038
312.813.4069-0.60693
47.414.4503-7.05026
56.713.1804-6.48043
612.615.1385-2.53846
714.814.31970.480307
813.315.116-1.81602
911.114.6781-3.5781
108.214.7739-6.5739
1111.413.9975-2.59754
126.414.7831-8.38308
1310.611.9084-1.30838
141215.3978-3.39781
156.310.5749-4.2749
1611.311.8336-0.533569
1711.914.8417-2.94169
189.312.5902-3.29023
199.613.5187-3.91867
201012.6476-2.64762
216.412.3209-5.92087
2213.812.52261.27741
2310.814.4624-3.66243
2413.815.1676-1.36758
2511.714.0276-2.32758
2610.916.3278-5.42781
2716.115.2860.813972
2813.412.82230.577655
299.914.4386-4.53862
3011.513.0576-1.55758
318.312.5798-4.27982
3211.713.6891-1.98905
33912.5833-3.58331
349.713.9351-4.23511
3510.812.5913-1.79133
3610.312.3139-2.0139
3710.413.1876-2.78755
3812.712.20260.497376
399.314.4518-5.15182
4011.813.6925-1.89245
415.912.8943-6.99434
4211.413.5423-2.14226
431314.1707-1.17065
4410.813.5347-2.73472
4512.311.67220.62781
4611.314.2621-2.96209
4711.813.8038-2.00383
487.912.4914-4.59142
4912.712.8418-0.141758
5012.311.13841.16158
5111.612.3567-0.756651
526.711.1333-4.43327
5310.913.0754-2.17543
5412.112.623-0.523044
5513.313.4269-0.126924
5610.112.474-2.37404
575.712.0275-6.32748
5814.313.26261.03744
59810.2701-2.2701
6013.312.93480.365162
619.315.3637-6.06374
6212.512.26290.237082
637.612.1906-4.59059
6415.915.54110.358888
659.214.036-4.83602
669.111.5124-2.41242
6711.114.8864-3.78637
681317.5784-4.57844
6914.513.33291.16707
7012.212.4691-0.269101
7112.314.8836-2.58362
7211.412.5566-1.15655
738.812.6946-3.89457
7414.614.04950.550525
7512.613.1468-0.546752
76NANA-1.43065
771312.74720.25285
7812.614.0245-1.42454
7913.214.7863-1.58633
809.915.3237-5.42368
817.79.51187-1.81187
8210.59.138641.36136
8313.415.0696-1.66961
8410.918.2549-7.35486
854.37.48914-3.18914
8610.312.5309-2.23094
8711.812.566-0.765955
8811.210.57730.622673
8911.414.6303-3.23026
908.67.939620.660384
9113.212.56430.635742
9212.619.1155-6.5155
935.69.8161-4.2161
949.912.7722-2.87222
958.812.995-4.19501
967.710.548-2.84805
97914.4417-5.4417
987.37.240580.0594222
9911.49.405351.99465
10013.618.0413-4.4413
1017.99.02946-1.12946
10210.712.3442-1.64422
10310.313.5846-3.28457
1048.311.6147-3.31468
1059.67.930841.66916
10614.218.238-4.03799
1078.57.345211.15479
10813.520.4377-6.93766
1094.99.54612-4.64612
1106.49.78979-3.38979
1119.610.1716-0.571597
11211.612.0069-0.406872
11311.117.8443-6.74431
1144.354.063360.286642
11512.77.768444.93156
11618.113.43354.6665
11717.8517.79630.053712
11816.615.09391.50608
11912.611.40451.1955
12017.113.25833.84174
12119.121.6502-2.55022
12216.113.38322.71681
12313.359.816393.53361
12418.413.9034.49698
12514.716.6691-1.96913
12610.610.07690.523129
12712.69.479833.12017
12816.216.19760.00236798
12913.68.964284.63572
13018.916.62432.27575
13114.111.63562.46437
13214.513.80370.696264
13316.1513.73062.41944
13414.7513.02181.72816
13514.814.09590.704122
13612.4512.5863-0.13633
13712.657.896494.75351
13817.3519.408-2.05799
1398.64.847233.75277
14018.417.46180.938164
14116.116.1993-0.0993215
14211.65.922175.67783
14317.7516.7630.986981
14415.2510.34764.90236
14517.6515.14572.50432
14616.3514.08052.26947
14717.6517.46590.184141
14813.612.47431.12572
14914.3513.25441.0956
15014.7510.29584.45421
15118.2521.2987-3.04871
1529.98.612921.28708
1531611.44714.55291
15418.2515.47122.77879
15516.8513.8812.96905
15614.614.37160.228428
15713.8510.83433.01566
15818.9515.97782.97218
15915.615.6879-0.0879362
16014.8515.0553-0.205283
16111.757.90493.8451
16218.4514.98433.46573
16315.913.88352.01648
16417.111.64725.45284
16516.112.22563.87444
16619.919.61140.288623
16710.956.463334.48667
16818.4514.34174.10826
16915.113.0532.04702
1701516.8125-1.81245
17111.358.161733.18827
17215.9511.42454.5255
17318.117.28670.81333
17414.612.61851.98147
17515.413.33332.06674
17615.410.99544.4046
17717.618.3017-0.701673
17813.357.966835.38317
17919.117.73161.36839
18015.3518.467-3.11701
1817.68.96277-1.36277
18213.412.68810.711947
18313.99.218844.68116
18419.117.06062.03938
18515.2515.293-0.0429516
18612.910.52712.37285
18716.110.68035.41973
18817.3516.79150.558481
18913.1512.00671.14327
19012.1511.24590.904081
19112.613.7801-1.18012
19210.358.193952.15605
19315.417.5733-2.17335
1949.64.197235.40277
19518.216.95131.24869
19613.611.92961.67037
19714.8514.07650.773512
19814.7513.42251.32753
19914.110.71973.38028
20014.911.77513.12494
20116.2514.11932.13066
20219.2517.88521.36483
20313.612.98890.611084
20413.610.58643.01358
20515.6514.10811.54191
20612.759.215053.53495
20714.616.341-1.74096
2089.859.024920.825083
20912.658.119314.53069
21019.215.74793.45209
21116.617.0203-0.420339
21211.28.523112.67689
21315.2516.8279-1.57792
21411.99.839592.06041
21513.211.37471.82527
21616.3516.8714-0.521428
21712.49.51862.8814
21815.8511.01884.83123
21918.1518.7855-0.635476
22011.158.901512.24849
22115.6510.39285.25721
22217.7521.0547-3.30466
2237.657.038820.61118
22412.358.18014.1699
22515.610.31485.28519
22619.315.38173.91833
22715.210.39764.80242
22817.113.25123.84884
22915.611.89453.7055
23018.412.77315.62694
23119.0513.30535.74466
23218.5515.10113.44894
23319.117.26791.83213
23413.112.85030.249697
23512.8514.9605-2.11049
2369.516.0865-6.58651
2374.52.922211.57779
23811.8511.51250.337516
23913.615.6374-2.03739
24011.711.03370.666342
24112.412.31630.0836842
24213.3513.3020.0480069
24311.48.819852.58015
24414.910.58314.31689
24519.920.3535-0.453489
24611.29.501421.69858
24714.612.58982.0102
24817.615.88221.71785
24914.0511.98132.06868
25016.114.9751.12502
25113.3513.18470.165255
25211.8512.8449-0.994904
25311.9510.24171.70827
25414.7513.18121.56879
25515.1515.3741-0.224132
25613.210.11033.08975
25716.8519.9691-3.11908
2587.8511.3964-3.54644
2597.78.2406-0.540604
26012.617.8376-5.2376
2617.858.29424-0.444241
26210.9510.52060.42942
26312.3515.0314-2.68138
2649.957.389962.56004
26514.911.0153.88497
26616.6515.65340.996637
26713.411.54951.85048
26813.9510.06933.88073
26915.711.65294.04711
27016.8517.3079-0.457924
27110.957.07333.8767
27215.3514.07571.27432
27312.210.18852.01152
27415.111.0984.00201
27517.7515.88251.86748
27615.213.42681.77321
27714.611.12523.47481
27816.6518.9634-2.31342
2798.1NANA






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
80.722820.554360.27718
90.5790710.8418570.420929
100.4925220.9850440.507478
110.366990.7339810.63301
120.4231620.8463250.576838
130.3180250.636050.681975
140.2358360.4716720.764164
150.169180.338360.83082
160.165280.3305610.83472
170.1244750.248950.875525
180.08810770.1762150.911892
190.05959870.1191970.940401
200.04074570.08149140.959254
210.0391750.078350.960825
220.1034740.2069480.896526
230.0781230.1562460.921877
240.06227830.1245570.937722
250.04883070.09766140.951169
260.05004630.1000930.949954
270.07317470.1463490.926825
280.07379660.1475930.926203
290.05956550.1191310.940435
300.04318310.08636620.956817
310.09254020.185080.90746
320.07711140.1542230.922889
330.06298170.1259630.937018
340.06050080.1210020.939499
350.04535870.09071740.954641
360.03416670.06833330.965833
370.0257850.05156990.974215
380.03157560.06315130.968424
390.02829330.05658650.971707
400.02105690.04211370.978943
410.04309840.08619680.956902
420.03487580.06975160.965124
430.02912340.05824680.970877
440.02508820.05017630.974912
450.020210.04041990.97979
460.01732130.03464260.982679
470.01326010.02652020.98674
480.0133280.0266560.986672
490.01239870.02479750.987601
500.01373420.02746830.986266
510.0105630.02112610.989437
520.01203980.02407970.98796
530.009340020.018680.99066
540.008805160.01761030.991195
550.009946110.01989220.990054
560.007681270.01536250.992319
570.02170780.04341550.978292
580.02712880.05425760.972871
590.02160730.04321460.978393
600.02089840.04179680.979102
610.02876270.05752550.971237
620.02848040.05696080.97152
630.03608010.07216010.96392
640.04207060.08414110.957929
650.04878120.09756250.951219
660.04040160.08080310.959598
670.04091830.08183650.959082
680.04714940.09429880.952851
690.05379820.1075960.946202
700.04627070.09254140.953729
710.04420780.08841570.955792
720.03814240.07628470.961858
730.03504440.07008880.964956
740.04665440.09330880.953346
750.03973160.07946310.960268
760.03579750.07159510.964202
770.03233180.06466370.967668
780.03169330.06338660.968307
790.02583060.05166120.974169
800.03848940.07697870.961511
810.03247750.06495490.967523
820.03520850.07041710.964791
830.02943390.05886790.970566
840.08249710.1649940.917503
850.08199710.1639940.918003
860.07495980.149920.92504
870.06693120.1338620.933069
880.06313080.1262620.936869
890.06120840.1224170.938792
900.06041090.1208220.939589
910.05942160.1188430.940578
920.1340380.2680750.865962
930.1561310.3122610.843869
940.1549370.3098730.845063
950.1738190.3476380.826181
960.1767420.3534840.823258
970.2538950.5077890.746105
980.2423830.4847650.757617
990.2633540.5267070.736646
1000.3163630.6327260.683637
1010.2921660.5843330.707834
1020.2810430.5620850.718957
1030.2996620.5993240.700338
1040.3330580.6661160.666942
1050.3570880.7141760.642912
1060.3986150.7972310.601385
1070.4132110.8264220.586789
1080.6554590.6890820.344541
1090.7033460.5933090.296654
1100.7234150.553170.276585
1110.7206050.558790.279395
1120.7097970.5804060.290203
1130.8357160.3285680.164284
1140.8234980.3530040.176502
1150.9077680.1844630.0922317
1160.9520.09599950.0479998
1170.9536860.09262870.0463143
1180.9564970.08700670.0435034
1190.9629090.07418280.0370914
1200.9787820.04243570.0212178
1210.9836460.03270830.0163542
1220.9872230.02555490.0127775
1230.9915590.01688140.00844069
1240.9967770.006445170.00322258
1250.9968290.006341110.00317056
1260.9964520.007096210.00354811
1270.9970790.005841340.00292067
1280.9966590.006682370.00334118
1290.9984930.003014940.00150747
1300.9985470.00290540.0014527
1310.9986220.002756790.0013784
1320.9987120.002575940.00128797
1330.9987360.002527460.00126373
1340.9986620.002676810.0013384
1350.9983260.003348060.00167403
1360.9979430.004113790.00205689
1370.9989320.002136770.00106838
1380.998730.002540160.00127008
1390.9990530.001894590.000947295
1400.99890.002200720.00110036
1410.9985560.002887330.00144366
1420.9993540.001291320.000645659
1430.9993460.001307970.000653985
1440.9996270.0007459070.000372953
1450.9996130.0007745610.000387281
1460.9995860.0008276620.000413831
1470.9995140.0009727910.000486395
1480.9994010.001198150.000599076
1490.999280.001439850.000719924
1500.9994540.001091580.000545789
1510.9998270.0003458810.000172941
1520.9997890.0004225350.000211267
1530.9998460.0003085860.000154293
1540.9998230.0003542290.000177114
1550.9998450.0003107360.000155368
1560.9997970.0004062590.00020313
1570.9997940.0004117470.000205874
1580.9997880.0004248170.000212408
1590.9997530.0004930890.000246544
1600.9996670.0006659160.000332958
1610.9997070.0005864910.000293246
1620.9997410.0005176970.000258848
1630.9996940.000612670.000306335
1640.9999637.48756e-053.74378e-05
1650.999967.91024e-053.95512e-05
1660.9999440.0001113965.56979e-05
1670.9999578.60769e-054.30385e-05
1680.9999715.7415e-052.87075e-05
1690.9999637.41605e-053.70802e-05
1700.9999637.46263e-053.73131e-05
1710.999967.93808e-053.96904e-05
1720.9999725.6926e-052.8463e-05
1730.9999666.74099e-053.3705e-05
1740.9999578.60697e-054.30349e-05
1750.9999460.0001088425.44212e-05
1760.9999588.4892e-054.2446e-05
1770.9999519.83651e-054.91826e-05
1780.9999686.45987e-053.22994e-05
1790.9999588.47481e-054.23741e-05
1800.9999588.36099e-054.1805e-05
1810.9999558.94134e-054.47067e-05
1820.9999370.0001263056.31526e-05
1830.9999410.0001182115.91056e-05
1840.9999210.0001587447.93719e-05
1850.999910.0001803129.01562e-05
1860.9998810.0002371390.00011857
1870.9999450.0001094285.47138e-05
1880.9999260.0001488597.44294e-05
1890.9998940.0002123180.000106159
1900.999850.0003001450.000150073
1910.9997930.0004134960.000206748
1920.9997260.0005475770.000273788
1930.9996940.0006119780.000305989
1940.999830.0003397780.000169889
1950.9997660.0004686380.000234319
1960.9997060.0005878220.000293911
1970.9996830.0006331180.000316559
1980.9995560.0008876620.000443831
1990.9996210.0007573820.000378691
2000.9995640.0008724960.000436248
2010.9994530.001094780.000547388
2020.999340.001319580.00065979
2030.9992190.001562640.00078132
2040.999040.001919690.000959847
2050.9987240.002551910.00127595
2060.9991020.001796760.000898378
2070.9988010.002398320.00119916
2080.99860.002800850.00140043
2090.9985380.002924660.00146233
2100.9984130.003174390.00158719
2110.9977890.004422520.00221126
2120.9971520.005695880.00284794
2130.9976220.004756040.00237802
2140.9971230.005753460.00287673
2150.9967650.006469490.00323475
2160.9958170.008366090.00418305
2170.9954780.00904390.00452195
2180.9948830.01023340.00511669
2190.9929340.01413170.00706583
2200.9907410.01851730.00925865
2210.9914580.01708330.00854164
2220.9921340.01573170.00786584
2230.9892520.02149690.0107484
2240.9899860.02002890.0100144
2250.9898730.02025420.0101271
2260.9950730.009854550.00492728
2270.9959030.008194750.00409738
2280.9966240.0067530.0033765
2290.9955290.008941890.00447094
2300.9968170.006366470.00318324
2310.9979210.004158390.00207919
2320.9970760.00584840.0029242
2330.9959950.008009360.00400468
2340.994680.0106410.00532048
2350.9939250.01214990.00607497
2360.9989560.002087880.00104394
2370.9988560.00228880.0011444
2380.9986910.002618440.00130922
2390.9982860.003428560.00171428
2400.9972960.005408670.00270434
2410.9972570.00548560.0027428
2420.9957530.00849410.00424705
2430.9943850.01123020.00561508
2440.9923070.01538670.00769335
2450.988340.02331930.0116597
2460.9827760.03444850.0172243
2470.9768380.04632480.0231624
2480.9706480.05870380.0293519
2490.9611630.07767470.0388373
2500.9457160.1085690.0542844
2510.9254740.1490520.0745261
2520.915560.168880.0844402
2530.8859330.2281340.114067
2540.8833470.2333050.116653
2550.8599910.2800170.140009
2560.8179570.3640860.182043
2570.8131060.3737880.186894
2580.9449680.1100640.055032
2590.9403270.1193460.0596731
2600.9979780.004043430.00202172
2610.9961520.007695780.00384789
2620.9949250.01015020.00507512
2630.9998770.0002464850.000123243
2640.9995850.0008290270.000414513
2650.9994330.00113330.000566648
2660.9987130.002574150.00128708
2670.999830.000339530.000169765
2680.9991160.001767040.000883521
2690.9984780.003043170.00152158
2700.9902960.0194080.009704
2710.9660020.06799670.0339983

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
8 & 0.72282 & 0.55436 & 0.27718 \tabularnewline
9 & 0.579071 & 0.841857 & 0.420929 \tabularnewline
10 & 0.492522 & 0.985044 & 0.507478 \tabularnewline
11 & 0.36699 & 0.733981 & 0.63301 \tabularnewline
12 & 0.423162 & 0.846325 & 0.576838 \tabularnewline
13 & 0.318025 & 0.63605 & 0.681975 \tabularnewline
14 & 0.235836 & 0.471672 & 0.764164 \tabularnewline
15 & 0.16918 & 0.33836 & 0.83082 \tabularnewline
16 & 0.16528 & 0.330561 & 0.83472 \tabularnewline
17 & 0.124475 & 0.24895 & 0.875525 \tabularnewline
18 & 0.0881077 & 0.176215 & 0.911892 \tabularnewline
19 & 0.0595987 & 0.119197 & 0.940401 \tabularnewline
20 & 0.0407457 & 0.0814914 & 0.959254 \tabularnewline
21 & 0.039175 & 0.07835 & 0.960825 \tabularnewline
22 & 0.103474 & 0.206948 & 0.896526 \tabularnewline
23 & 0.078123 & 0.156246 & 0.921877 \tabularnewline
24 & 0.0622783 & 0.124557 & 0.937722 \tabularnewline
25 & 0.0488307 & 0.0976614 & 0.951169 \tabularnewline
26 & 0.0500463 & 0.100093 & 0.949954 \tabularnewline
27 & 0.0731747 & 0.146349 & 0.926825 \tabularnewline
28 & 0.0737966 & 0.147593 & 0.926203 \tabularnewline
29 & 0.0595655 & 0.119131 & 0.940435 \tabularnewline
30 & 0.0431831 & 0.0863662 & 0.956817 \tabularnewline
31 & 0.0925402 & 0.18508 & 0.90746 \tabularnewline
32 & 0.0771114 & 0.154223 & 0.922889 \tabularnewline
33 & 0.0629817 & 0.125963 & 0.937018 \tabularnewline
34 & 0.0605008 & 0.121002 & 0.939499 \tabularnewline
35 & 0.0453587 & 0.0907174 & 0.954641 \tabularnewline
36 & 0.0341667 & 0.0683333 & 0.965833 \tabularnewline
37 & 0.025785 & 0.0515699 & 0.974215 \tabularnewline
38 & 0.0315756 & 0.0631513 & 0.968424 \tabularnewline
39 & 0.0282933 & 0.0565865 & 0.971707 \tabularnewline
40 & 0.0210569 & 0.0421137 & 0.978943 \tabularnewline
41 & 0.0430984 & 0.0861968 & 0.956902 \tabularnewline
42 & 0.0348758 & 0.0697516 & 0.965124 \tabularnewline
43 & 0.0291234 & 0.0582468 & 0.970877 \tabularnewline
44 & 0.0250882 & 0.0501763 & 0.974912 \tabularnewline
45 & 0.02021 & 0.0404199 & 0.97979 \tabularnewline
46 & 0.0173213 & 0.0346426 & 0.982679 \tabularnewline
47 & 0.0132601 & 0.0265202 & 0.98674 \tabularnewline
48 & 0.013328 & 0.026656 & 0.986672 \tabularnewline
49 & 0.0123987 & 0.0247975 & 0.987601 \tabularnewline
50 & 0.0137342 & 0.0274683 & 0.986266 \tabularnewline
51 & 0.010563 & 0.0211261 & 0.989437 \tabularnewline
52 & 0.0120398 & 0.0240797 & 0.98796 \tabularnewline
53 & 0.00934002 & 0.01868 & 0.99066 \tabularnewline
54 & 0.00880516 & 0.0176103 & 0.991195 \tabularnewline
55 & 0.00994611 & 0.0198922 & 0.990054 \tabularnewline
56 & 0.00768127 & 0.0153625 & 0.992319 \tabularnewline
57 & 0.0217078 & 0.0434155 & 0.978292 \tabularnewline
58 & 0.0271288 & 0.0542576 & 0.972871 \tabularnewline
59 & 0.0216073 & 0.0432146 & 0.978393 \tabularnewline
60 & 0.0208984 & 0.0417968 & 0.979102 \tabularnewline
61 & 0.0287627 & 0.0575255 & 0.971237 \tabularnewline
62 & 0.0284804 & 0.0569608 & 0.97152 \tabularnewline
63 & 0.0360801 & 0.0721601 & 0.96392 \tabularnewline
64 & 0.0420706 & 0.0841411 & 0.957929 \tabularnewline
65 & 0.0487812 & 0.0975625 & 0.951219 \tabularnewline
66 & 0.0404016 & 0.0808031 & 0.959598 \tabularnewline
67 & 0.0409183 & 0.0818365 & 0.959082 \tabularnewline
68 & 0.0471494 & 0.0942988 & 0.952851 \tabularnewline
69 & 0.0537982 & 0.107596 & 0.946202 \tabularnewline
70 & 0.0462707 & 0.0925414 & 0.953729 \tabularnewline
71 & 0.0442078 & 0.0884157 & 0.955792 \tabularnewline
72 & 0.0381424 & 0.0762847 & 0.961858 \tabularnewline
73 & 0.0350444 & 0.0700888 & 0.964956 \tabularnewline
74 & 0.0466544 & 0.0933088 & 0.953346 \tabularnewline
75 & 0.0397316 & 0.0794631 & 0.960268 \tabularnewline
76 & 0.0357975 & 0.0715951 & 0.964202 \tabularnewline
77 & 0.0323318 & 0.0646637 & 0.967668 \tabularnewline
78 & 0.0316933 & 0.0633866 & 0.968307 \tabularnewline
79 & 0.0258306 & 0.0516612 & 0.974169 \tabularnewline
80 & 0.0384894 & 0.0769787 & 0.961511 \tabularnewline
81 & 0.0324775 & 0.0649549 & 0.967523 \tabularnewline
82 & 0.0352085 & 0.0704171 & 0.964791 \tabularnewline
83 & 0.0294339 & 0.0588679 & 0.970566 \tabularnewline
84 & 0.0824971 & 0.164994 & 0.917503 \tabularnewline
85 & 0.0819971 & 0.163994 & 0.918003 \tabularnewline
86 & 0.0749598 & 0.14992 & 0.92504 \tabularnewline
87 & 0.0669312 & 0.133862 & 0.933069 \tabularnewline
88 & 0.0631308 & 0.126262 & 0.936869 \tabularnewline
89 & 0.0612084 & 0.122417 & 0.938792 \tabularnewline
90 & 0.0604109 & 0.120822 & 0.939589 \tabularnewline
91 & 0.0594216 & 0.118843 & 0.940578 \tabularnewline
92 & 0.134038 & 0.268075 & 0.865962 \tabularnewline
93 & 0.156131 & 0.312261 & 0.843869 \tabularnewline
94 & 0.154937 & 0.309873 & 0.845063 \tabularnewline
95 & 0.173819 & 0.347638 & 0.826181 \tabularnewline
96 & 0.176742 & 0.353484 & 0.823258 \tabularnewline
97 & 0.253895 & 0.507789 & 0.746105 \tabularnewline
98 & 0.242383 & 0.484765 & 0.757617 \tabularnewline
99 & 0.263354 & 0.526707 & 0.736646 \tabularnewline
100 & 0.316363 & 0.632726 & 0.683637 \tabularnewline
101 & 0.292166 & 0.584333 & 0.707834 \tabularnewline
102 & 0.281043 & 0.562085 & 0.718957 \tabularnewline
103 & 0.299662 & 0.599324 & 0.700338 \tabularnewline
104 & 0.333058 & 0.666116 & 0.666942 \tabularnewline
105 & 0.357088 & 0.714176 & 0.642912 \tabularnewline
106 & 0.398615 & 0.797231 & 0.601385 \tabularnewline
107 & 0.413211 & 0.826422 & 0.586789 \tabularnewline
108 & 0.655459 & 0.689082 & 0.344541 \tabularnewline
109 & 0.703346 & 0.593309 & 0.296654 \tabularnewline
110 & 0.723415 & 0.55317 & 0.276585 \tabularnewline
111 & 0.720605 & 0.55879 & 0.279395 \tabularnewline
112 & 0.709797 & 0.580406 & 0.290203 \tabularnewline
113 & 0.835716 & 0.328568 & 0.164284 \tabularnewline
114 & 0.823498 & 0.353004 & 0.176502 \tabularnewline
115 & 0.907768 & 0.184463 & 0.0922317 \tabularnewline
116 & 0.952 & 0.0959995 & 0.0479998 \tabularnewline
117 & 0.953686 & 0.0926287 & 0.0463143 \tabularnewline
118 & 0.956497 & 0.0870067 & 0.0435034 \tabularnewline
119 & 0.962909 & 0.0741828 & 0.0370914 \tabularnewline
120 & 0.978782 & 0.0424357 & 0.0212178 \tabularnewline
121 & 0.983646 & 0.0327083 & 0.0163542 \tabularnewline
122 & 0.987223 & 0.0255549 & 0.0127775 \tabularnewline
123 & 0.991559 & 0.0168814 & 0.00844069 \tabularnewline
124 & 0.996777 & 0.00644517 & 0.00322258 \tabularnewline
125 & 0.996829 & 0.00634111 & 0.00317056 \tabularnewline
126 & 0.996452 & 0.00709621 & 0.00354811 \tabularnewline
127 & 0.997079 & 0.00584134 & 0.00292067 \tabularnewline
128 & 0.996659 & 0.00668237 & 0.00334118 \tabularnewline
129 & 0.998493 & 0.00301494 & 0.00150747 \tabularnewline
130 & 0.998547 & 0.0029054 & 0.0014527 \tabularnewline
131 & 0.998622 & 0.00275679 & 0.0013784 \tabularnewline
132 & 0.998712 & 0.00257594 & 0.00128797 \tabularnewline
133 & 0.998736 & 0.00252746 & 0.00126373 \tabularnewline
134 & 0.998662 & 0.00267681 & 0.0013384 \tabularnewline
135 & 0.998326 & 0.00334806 & 0.00167403 \tabularnewline
136 & 0.997943 & 0.00411379 & 0.00205689 \tabularnewline
137 & 0.998932 & 0.00213677 & 0.00106838 \tabularnewline
138 & 0.99873 & 0.00254016 & 0.00127008 \tabularnewline
139 & 0.999053 & 0.00189459 & 0.000947295 \tabularnewline
140 & 0.9989 & 0.00220072 & 0.00110036 \tabularnewline
141 & 0.998556 & 0.00288733 & 0.00144366 \tabularnewline
142 & 0.999354 & 0.00129132 & 0.000645659 \tabularnewline
143 & 0.999346 & 0.00130797 & 0.000653985 \tabularnewline
144 & 0.999627 & 0.000745907 & 0.000372953 \tabularnewline
145 & 0.999613 & 0.000774561 & 0.000387281 \tabularnewline
146 & 0.999586 & 0.000827662 & 0.000413831 \tabularnewline
147 & 0.999514 & 0.000972791 & 0.000486395 \tabularnewline
148 & 0.999401 & 0.00119815 & 0.000599076 \tabularnewline
149 & 0.99928 & 0.00143985 & 0.000719924 \tabularnewline
150 & 0.999454 & 0.00109158 & 0.000545789 \tabularnewline
151 & 0.999827 & 0.000345881 & 0.000172941 \tabularnewline
152 & 0.999789 & 0.000422535 & 0.000211267 \tabularnewline
153 & 0.999846 & 0.000308586 & 0.000154293 \tabularnewline
154 & 0.999823 & 0.000354229 & 0.000177114 \tabularnewline
155 & 0.999845 & 0.000310736 & 0.000155368 \tabularnewline
156 & 0.999797 & 0.000406259 & 0.00020313 \tabularnewline
157 & 0.999794 & 0.000411747 & 0.000205874 \tabularnewline
158 & 0.999788 & 0.000424817 & 0.000212408 \tabularnewline
159 & 0.999753 & 0.000493089 & 0.000246544 \tabularnewline
160 & 0.999667 & 0.000665916 & 0.000332958 \tabularnewline
161 & 0.999707 & 0.000586491 & 0.000293246 \tabularnewline
162 & 0.999741 & 0.000517697 & 0.000258848 \tabularnewline
163 & 0.999694 & 0.00061267 & 0.000306335 \tabularnewline
164 & 0.999963 & 7.48756e-05 & 3.74378e-05 \tabularnewline
165 & 0.99996 & 7.91024e-05 & 3.95512e-05 \tabularnewline
166 & 0.999944 & 0.000111396 & 5.56979e-05 \tabularnewline
167 & 0.999957 & 8.60769e-05 & 4.30385e-05 \tabularnewline
168 & 0.999971 & 5.7415e-05 & 2.87075e-05 \tabularnewline
169 & 0.999963 & 7.41605e-05 & 3.70802e-05 \tabularnewline
170 & 0.999963 & 7.46263e-05 & 3.73131e-05 \tabularnewline
171 & 0.99996 & 7.93808e-05 & 3.96904e-05 \tabularnewline
172 & 0.999972 & 5.6926e-05 & 2.8463e-05 \tabularnewline
173 & 0.999966 & 6.74099e-05 & 3.3705e-05 \tabularnewline
174 & 0.999957 & 8.60697e-05 & 4.30349e-05 \tabularnewline
175 & 0.999946 & 0.000108842 & 5.44212e-05 \tabularnewline
176 & 0.999958 & 8.4892e-05 & 4.2446e-05 \tabularnewline
177 & 0.999951 & 9.83651e-05 & 4.91826e-05 \tabularnewline
178 & 0.999968 & 6.45987e-05 & 3.22994e-05 \tabularnewline
179 & 0.999958 & 8.47481e-05 & 4.23741e-05 \tabularnewline
180 & 0.999958 & 8.36099e-05 & 4.1805e-05 \tabularnewline
181 & 0.999955 & 8.94134e-05 & 4.47067e-05 \tabularnewline
182 & 0.999937 & 0.000126305 & 6.31526e-05 \tabularnewline
183 & 0.999941 & 0.000118211 & 5.91056e-05 \tabularnewline
184 & 0.999921 & 0.000158744 & 7.93719e-05 \tabularnewline
185 & 0.99991 & 0.000180312 & 9.01562e-05 \tabularnewline
186 & 0.999881 & 0.000237139 & 0.00011857 \tabularnewline
187 & 0.999945 & 0.000109428 & 5.47138e-05 \tabularnewline
188 & 0.999926 & 0.000148859 & 7.44294e-05 \tabularnewline
189 & 0.999894 & 0.000212318 & 0.000106159 \tabularnewline
190 & 0.99985 & 0.000300145 & 0.000150073 \tabularnewline
191 & 0.999793 & 0.000413496 & 0.000206748 \tabularnewline
192 & 0.999726 & 0.000547577 & 0.000273788 \tabularnewline
193 & 0.999694 & 0.000611978 & 0.000305989 \tabularnewline
194 & 0.99983 & 0.000339778 & 0.000169889 \tabularnewline
195 & 0.999766 & 0.000468638 & 0.000234319 \tabularnewline
196 & 0.999706 & 0.000587822 & 0.000293911 \tabularnewline
197 & 0.999683 & 0.000633118 & 0.000316559 \tabularnewline
198 & 0.999556 & 0.000887662 & 0.000443831 \tabularnewline
199 & 0.999621 & 0.000757382 & 0.000378691 \tabularnewline
200 & 0.999564 & 0.000872496 & 0.000436248 \tabularnewline
201 & 0.999453 & 0.00109478 & 0.000547388 \tabularnewline
202 & 0.99934 & 0.00131958 & 0.00065979 \tabularnewline
203 & 0.999219 & 0.00156264 & 0.00078132 \tabularnewline
204 & 0.99904 & 0.00191969 & 0.000959847 \tabularnewline
205 & 0.998724 & 0.00255191 & 0.00127595 \tabularnewline
206 & 0.999102 & 0.00179676 & 0.000898378 \tabularnewline
207 & 0.998801 & 0.00239832 & 0.00119916 \tabularnewline
208 & 0.9986 & 0.00280085 & 0.00140043 \tabularnewline
209 & 0.998538 & 0.00292466 & 0.00146233 \tabularnewline
210 & 0.998413 & 0.00317439 & 0.00158719 \tabularnewline
211 & 0.997789 & 0.00442252 & 0.00221126 \tabularnewline
212 & 0.997152 & 0.00569588 & 0.00284794 \tabularnewline
213 & 0.997622 & 0.00475604 & 0.00237802 \tabularnewline
214 & 0.997123 & 0.00575346 & 0.00287673 \tabularnewline
215 & 0.996765 & 0.00646949 & 0.00323475 \tabularnewline
216 & 0.995817 & 0.00836609 & 0.00418305 \tabularnewline
217 & 0.995478 & 0.0090439 & 0.00452195 \tabularnewline
218 & 0.994883 & 0.0102334 & 0.00511669 \tabularnewline
219 & 0.992934 & 0.0141317 & 0.00706583 \tabularnewline
220 & 0.990741 & 0.0185173 & 0.00925865 \tabularnewline
221 & 0.991458 & 0.0170833 & 0.00854164 \tabularnewline
222 & 0.992134 & 0.0157317 & 0.00786584 \tabularnewline
223 & 0.989252 & 0.0214969 & 0.0107484 \tabularnewline
224 & 0.989986 & 0.0200289 & 0.0100144 \tabularnewline
225 & 0.989873 & 0.0202542 & 0.0101271 \tabularnewline
226 & 0.995073 & 0.00985455 & 0.00492728 \tabularnewline
227 & 0.995903 & 0.00819475 & 0.00409738 \tabularnewline
228 & 0.996624 & 0.006753 & 0.0033765 \tabularnewline
229 & 0.995529 & 0.00894189 & 0.00447094 \tabularnewline
230 & 0.996817 & 0.00636647 & 0.00318324 \tabularnewline
231 & 0.997921 & 0.00415839 & 0.00207919 \tabularnewline
232 & 0.997076 & 0.0058484 & 0.0029242 \tabularnewline
233 & 0.995995 & 0.00800936 & 0.00400468 \tabularnewline
234 & 0.99468 & 0.010641 & 0.00532048 \tabularnewline
235 & 0.993925 & 0.0121499 & 0.00607497 \tabularnewline
236 & 0.998956 & 0.00208788 & 0.00104394 \tabularnewline
237 & 0.998856 & 0.0022888 & 0.0011444 \tabularnewline
238 & 0.998691 & 0.00261844 & 0.00130922 \tabularnewline
239 & 0.998286 & 0.00342856 & 0.00171428 \tabularnewline
240 & 0.997296 & 0.00540867 & 0.00270434 \tabularnewline
241 & 0.997257 & 0.0054856 & 0.0027428 \tabularnewline
242 & 0.995753 & 0.0084941 & 0.00424705 \tabularnewline
243 & 0.994385 & 0.0112302 & 0.00561508 \tabularnewline
244 & 0.992307 & 0.0153867 & 0.00769335 \tabularnewline
245 & 0.98834 & 0.0233193 & 0.0116597 \tabularnewline
246 & 0.982776 & 0.0344485 & 0.0172243 \tabularnewline
247 & 0.976838 & 0.0463248 & 0.0231624 \tabularnewline
248 & 0.970648 & 0.0587038 & 0.0293519 \tabularnewline
249 & 0.961163 & 0.0776747 & 0.0388373 \tabularnewline
250 & 0.945716 & 0.108569 & 0.0542844 \tabularnewline
251 & 0.925474 & 0.149052 & 0.0745261 \tabularnewline
252 & 0.91556 & 0.16888 & 0.0844402 \tabularnewline
253 & 0.885933 & 0.228134 & 0.114067 \tabularnewline
254 & 0.883347 & 0.233305 & 0.116653 \tabularnewline
255 & 0.859991 & 0.280017 & 0.140009 \tabularnewline
256 & 0.817957 & 0.364086 & 0.182043 \tabularnewline
257 & 0.813106 & 0.373788 & 0.186894 \tabularnewline
258 & 0.944968 & 0.110064 & 0.055032 \tabularnewline
259 & 0.940327 & 0.119346 & 0.0596731 \tabularnewline
260 & 0.997978 & 0.00404343 & 0.00202172 \tabularnewline
261 & 0.996152 & 0.00769578 & 0.00384789 \tabularnewline
262 & 0.994925 & 0.0101502 & 0.00507512 \tabularnewline
263 & 0.999877 & 0.000246485 & 0.000123243 \tabularnewline
264 & 0.999585 & 0.000829027 & 0.000414513 \tabularnewline
265 & 0.999433 & 0.0011333 & 0.000566648 \tabularnewline
266 & 0.998713 & 0.00257415 & 0.00128708 \tabularnewline
267 & 0.99983 & 0.00033953 & 0.000169765 \tabularnewline
268 & 0.999116 & 0.00176704 & 0.000883521 \tabularnewline
269 & 0.998478 & 0.00304317 & 0.00152158 \tabularnewline
270 & 0.990296 & 0.019408 & 0.009704 \tabularnewline
271 & 0.966002 & 0.0679967 & 0.0339983 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268307&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]0.72282[/C][C]0.55436[/C][C]0.27718[/C][/ROW]
[ROW][C]9[/C][C]0.579071[/C][C]0.841857[/C][C]0.420929[/C][/ROW]
[ROW][C]10[/C][C]0.492522[/C][C]0.985044[/C][C]0.507478[/C][/ROW]
[ROW][C]11[/C][C]0.36699[/C][C]0.733981[/C][C]0.63301[/C][/ROW]
[ROW][C]12[/C][C]0.423162[/C][C]0.846325[/C][C]0.576838[/C][/ROW]
[ROW][C]13[/C][C]0.318025[/C][C]0.63605[/C][C]0.681975[/C][/ROW]
[ROW][C]14[/C][C]0.235836[/C][C]0.471672[/C][C]0.764164[/C][/ROW]
[ROW][C]15[/C][C]0.16918[/C][C]0.33836[/C][C]0.83082[/C][/ROW]
[ROW][C]16[/C][C]0.16528[/C][C]0.330561[/C][C]0.83472[/C][/ROW]
[ROW][C]17[/C][C]0.124475[/C][C]0.24895[/C][C]0.875525[/C][/ROW]
[ROW][C]18[/C][C]0.0881077[/C][C]0.176215[/C][C]0.911892[/C][/ROW]
[ROW][C]19[/C][C]0.0595987[/C][C]0.119197[/C][C]0.940401[/C][/ROW]
[ROW][C]20[/C][C]0.0407457[/C][C]0.0814914[/C][C]0.959254[/C][/ROW]
[ROW][C]21[/C][C]0.039175[/C][C]0.07835[/C][C]0.960825[/C][/ROW]
[ROW][C]22[/C][C]0.103474[/C][C]0.206948[/C][C]0.896526[/C][/ROW]
[ROW][C]23[/C][C]0.078123[/C][C]0.156246[/C][C]0.921877[/C][/ROW]
[ROW][C]24[/C][C]0.0622783[/C][C]0.124557[/C][C]0.937722[/C][/ROW]
[ROW][C]25[/C][C]0.0488307[/C][C]0.0976614[/C][C]0.951169[/C][/ROW]
[ROW][C]26[/C][C]0.0500463[/C][C]0.100093[/C][C]0.949954[/C][/ROW]
[ROW][C]27[/C][C]0.0731747[/C][C]0.146349[/C][C]0.926825[/C][/ROW]
[ROW][C]28[/C][C]0.0737966[/C][C]0.147593[/C][C]0.926203[/C][/ROW]
[ROW][C]29[/C][C]0.0595655[/C][C]0.119131[/C][C]0.940435[/C][/ROW]
[ROW][C]30[/C][C]0.0431831[/C][C]0.0863662[/C][C]0.956817[/C][/ROW]
[ROW][C]31[/C][C]0.0925402[/C][C]0.18508[/C][C]0.90746[/C][/ROW]
[ROW][C]32[/C][C]0.0771114[/C][C]0.154223[/C][C]0.922889[/C][/ROW]
[ROW][C]33[/C][C]0.0629817[/C][C]0.125963[/C][C]0.937018[/C][/ROW]
[ROW][C]34[/C][C]0.0605008[/C][C]0.121002[/C][C]0.939499[/C][/ROW]
[ROW][C]35[/C][C]0.0453587[/C][C]0.0907174[/C][C]0.954641[/C][/ROW]
[ROW][C]36[/C][C]0.0341667[/C][C]0.0683333[/C][C]0.965833[/C][/ROW]
[ROW][C]37[/C][C]0.025785[/C][C]0.0515699[/C][C]0.974215[/C][/ROW]
[ROW][C]38[/C][C]0.0315756[/C][C]0.0631513[/C][C]0.968424[/C][/ROW]
[ROW][C]39[/C][C]0.0282933[/C][C]0.0565865[/C][C]0.971707[/C][/ROW]
[ROW][C]40[/C][C]0.0210569[/C][C]0.0421137[/C][C]0.978943[/C][/ROW]
[ROW][C]41[/C][C]0.0430984[/C][C]0.0861968[/C][C]0.956902[/C][/ROW]
[ROW][C]42[/C][C]0.0348758[/C][C]0.0697516[/C][C]0.965124[/C][/ROW]
[ROW][C]43[/C][C]0.0291234[/C][C]0.0582468[/C][C]0.970877[/C][/ROW]
[ROW][C]44[/C][C]0.0250882[/C][C]0.0501763[/C][C]0.974912[/C][/ROW]
[ROW][C]45[/C][C]0.02021[/C][C]0.0404199[/C][C]0.97979[/C][/ROW]
[ROW][C]46[/C][C]0.0173213[/C][C]0.0346426[/C][C]0.982679[/C][/ROW]
[ROW][C]47[/C][C]0.0132601[/C][C]0.0265202[/C][C]0.98674[/C][/ROW]
[ROW][C]48[/C][C]0.013328[/C][C]0.026656[/C][C]0.986672[/C][/ROW]
[ROW][C]49[/C][C]0.0123987[/C][C]0.0247975[/C][C]0.987601[/C][/ROW]
[ROW][C]50[/C][C]0.0137342[/C][C]0.0274683[/C][C]0.986266[/C][/ROW]
[ROW][C]51[/C][C]0.010563[/C][C]0.0211261[/C][C]0.989437[/C][/ROW]
[ROW][C]52[/C][C]0.0120398[/C][C]0.0240797[/C][C]0.98796[/C][/ROW]
[ROW][C]53[/C][C]0.00934002[/C][C]0.01868[/C][C]0.99066[/C][/ROW]
[ROW][C]54[/C][C]0.00880516[/C][C]0.0176103[/C][C]0.991195[/C][/ROW]
[ROW][C]55[/C][C]0.00994611[/C][C]0.0198922[/C][C]0.990054[/C][/ROW]
[ROW][C]56[/C][C]0.00768127[/C][C]0.0153625[/C][C]0.992319[/C][/ROW]
[ROW][C]57[/C][C]0.0217078[/C][C]0.0434155[/C][C]0.978292[/C][/ROW]
[ROW][C]58[/C][C]0.0271288[/C][C]0.0542576[/C][C]0.972871[/C][/ROW]
[ROW][C]59[/C][C]0.0216073[/C][C]0.0432146[/C][C]0.978393[/C][/ROW]
[ROW][C]60[/C][C]0.0208984[/C][C]0.0417968[/C][C]0.979102[/C][/ROW]
[ROW][C]61[/C][C]0.0287627[/C][C]0.0575255[/C][C]0.971237[/C][/ROW]
[ROW][C]62[/C][C]0.0284804[/C][C]0.0569608[/C][C]0.97152[/C][/ROW]
[ROW][C]63[/C][C]0.0360801[/C][C]0.0721601[/C][C]0.96392[/C][/ROW]
[ROW][C]64[/C][C]0.0420706[/C][C]0.0841411[/C][C]0.957929[/C][/ROW]
[ROW][C]65[/C][C]0.0487812[/C][C]0.0975625[/C][C]0.951219[/C][/ROW]
[ROW][C]66[/C][C]0.0404016[/C][C]0.0808031[/C][C]0.959598[/C][/ROW]
[ROW][C]67[/C][C]0.0409183[/C][C]0.0818365[/C][C]0.959082[/C][/ROW]
[ROW][C]68[/C][C]0.0471494[/C][C]0.0942988[/C][C]0.952851[/C][/ROW]
[ROW][C]69[/C][C]0.0537982[/C][C]0.107596[/C][C]0.946202[/C][/ROW]
[ROW][C]70[/C][C]0.0462707[/C][C]0.0925414[/C][C]0.953729[/C][/ROW]
[ROW][C]71[/C][C]0.0442078[/C][C]0.0884157[/C][C]0.955792[/C][/ROW]
[ROW][C]72[/C][C]0.0381424[/C][C]0.0762847[/C][C]0.961858[/C][/ROW]
[ROW][C]73[/C][C]0.0350444[/C][C]0.0700888[/C][C]0.964956[/C][/ROW]
[ROW][C]74[/C][C]0.0466544[/C][C]0.0933088[/C][C]0.953346[/C][/ROW]
[ROW][C]75[/C][C]0.0397316[/C][C]0.0794631[/C][C]0.960268[/C][/ROW]
[ROW][C]76[/C][C]0.0357975[/C][C]0.0715951[/C][C]0.964202[/C][/ROW]
[ROW][C]77[/C][C]0.0323318[/C][C]0.0646637[/C][C]0.967668[/C][/ROW]
[ROW][C]78[/C][C]0.0316933[/C][C]0.0633866[/C][C]0.968307[/C][/ROW]
[ROW][C]79[/C][C]0.0258306[/C][C]0.0516612[/C][C]0.974169[/C][/ROW]
[ROW][C]80[/C][C]0.0384894[/C][C]0.0769787[/C][C]0.961511[/C][/ROW]
[ROW][C]81[/C][C]0.0324775[/C][C]0.0649549[/C][C]0.967523[/C][/ROW]
[ROW][C]82[/C][C]0.0352085[/C][C]0.0704171[/C][C]0.964791[/C][/ROW]
[ROW][C]83[/C][C]0.0294339[/C][C]0.0588679[/C][C]0.970566[/C][/ROW]
[ROW][C]84[/C][C]0.0824971[/C][C]0.164994[/C][C]0.917503[/C][/ROW]
[ROW][C]85[/C][C]0.0819971[/C][C]0.163994[/C][C]0.918003[/C][/ROW]
[ROW][C]86[/C][C]0.0749598[/C][C]0.14992[/C][C]0.92504[/C][/ROW]
[ROW][C]87[/C][C]0.0669312[/C][C]0.133862[/C][C]0.933069[/C][/ROW]
[ROW][C]88[/C][C]0.0631308[/C][C]0.126262[/C][C]0.936869[/C][/ROW]
[ROW][C]89[/C][C]0.0612084[/C][C]0.122417[/C][C]0.938792[/C][/ROW]
[ROW][C]90[/C][C]0.0604109[/C][C]0.120822[/C][C]0.939589[/C][/ROW]
[ROW][C]91[/C][C]0.0594216[/C][C]0.118843[/C][C]0.940578[/C][/ROW]
[ROW][C]92[/C][C]0.134038[/C][C]0.268075[/C][C]0.865962[/C][/ROW]
[ROW][C]93[/C][C]0.156131[/C][C]0.312261[/C][C]0.843869[/C][/ROW]
[ROW][C]94[/C][C]0.154937[/C][C]0.309873[/C][C]0.845063[/C][/ROW]
[ROW][C]95[/C][C]0.173819[/C][C]0.347638[/C][C]0.826181[/C][/ROW]
[ROW][C]96[/C][C]0.176742[/C][C]0.353484[/C][C]0.823258[/C][/ROW]
[ROW][C]97[/C][C]0.253895[/C][C]0.507789[/C][C]0.746105[/C][/ROW]
[ROW][C]98[/C][C]0.242383[/C][C]0.484765[/C][C]0.757617[/C][/ROW]
[ROW][C]99[/C][C]0.263354[/C][C]0.526707[/C][C]0.736646[/C][/ROW]
[ROW][C]100[/C][C]0.316363[/C][C]0.632726[/C][C]0.683637[/C][/ROW]
[ROW][C]101[/C][C]0.292166[/C][C]0.584333[/C][C]0.707834[/C][/ROW]
[ROW][C]102[/C][C]0.281043[/C][C]0.562085[/C][C]0.718957[/C][/ROW]
[ROW][C]103[/C][C]0.299662[/C][C]0.599324[/C][C]0.700338[/C][/ROW]
[ROW][C]104[/C][C]0.333058[/C][C]0.666116[/C][C]0.666942[/C][/ROW]
[ROW][C]105[/C][C]0.357088[/C][C]0.714176[/C][C]0.642912[/C][/ROW]
[ROW][C]106[/C][C]0.398615[/C][C]0.797231[/C][C]0.601385[/C][/ROW]
[ROW][C]107[/C][C]0.413211[/C][C]0.826422[/C][C]0.586789[/C][/ROW]
[ROW][C]108[/C][C]0.655459[/C][C]0.689082[/C][C]0.344541[/C][/ROW]
[ROW][C]109[/C][C]0.703346[/C][C]0.593309[/C][C]0.296654[/C][/ROW]
[ROW][C]110[/C][C]0.723415[/C][C]0.55317[/C][C]0.276585[/C][/ROW]
[ROW][C]111[/C][C]0.720605[/C][C]0.55879[/C][C]0.279395[/C][/ROW]
[ROW][C]112[/C][C]0.709797[/C][C]0.580406[/C][C]0.290203[/C][/ROW]
[ROW][C]113[/C][C]0.835716[/C][C]0.328568[/C][C]0.164284[/C][/ROW]
[ROW][C]114[/C][C]0.823498[/C][C]0.353004[/C][C]0.176502[/C][/ROW]
[ROW][C]115[/C][C]0.907768[/C][C]0.184463[/C][C]0.0922317[/C][/ROW]
[ROW][C]116[/C][C]0.952[/C][C]0.0959995[/C][C]0.0479998[/C][/ROW]
[ROW][C]117[/C][C]0.953686[/C][C]0.0926287[/C][C]0.0463143[/C][/ROW]
[ROW][C]118[/C][C]0.956497[/C][C]0.0870067[/C][C]0.0435034[/C][/ROW]
[ROW][C]119[/C][C]0.962909[/C][C]0.0741828[/C][C]0.0370914[/C][/ROW]
[ROW][C]120[/C][C]0.978782[/C][C]0.0424357[/C][C]0.0212178[/C][/ROW]
[ROW][C]121[/C][C]0.983646[/C][C]0.0327083[/C][C]0.0163542[/C][/ROW]
[ROW][C]122[/C][C]0.987223[/C][C]0.0255549[/C][C]0.0127775[/C][/ROW]
[ROW][C]123[/C][C]0.991559[/C][C]0.0168814[/C][C]0.00844069[/C][/ROW]
[ROW][C]124[/C][C]0.996777[/C][C]0.00644517[/C][C]0.00322258[/C][/ROW]
[ROW][C]125[/C][C]0.996829[/C][C]0.00634111[/C][C]0.00317056[/C][/ROW]
[ROW][C]126[/C][C]0.996452[/C][C]0.00709621[/C][C]0.00354811[/C][/ROW]
[ROW][C]127[/C][C]0.997079[/C][C]0.00584134[/C][C]0.00292067[/C][/ROW]
[ROW][C]128[/C][C]0.996659[/C][C]0.00668237[/C][C]0.00334118[/C][/ROW]
[ROW][C]129[/C][C]0.998493[/C][C]0.00301494[/C][C]0.00150747[/C][/ROW]
[ROW][C]130[/C][C]0.998547[/C][C]0.0029054[/C][C]0.0014527[/C][/ROW]
[ROW][C]131[/C][C]0.998622[/C][C]0.00275679[/C][C]0.0013784[/C][/ROW]
[ROW][C]132[/C][C]0.998712[/C][C]0.00257594[/C][C]0.00128797[/C][/ROW]
[ROW][C]133[/C][C]0.998736[/C][C]0.00252746[/C][C]0.00126373[/C][/ROW]
[ROW][C]134[/C][C]0.998662[/C][C]0.00267681[/C][C]0.0013384[/C][/ROW]
[ROW][C]135[/C][C]0.998326[/C][C]0.00334806[/C][C]0.00167403[/C][/ROW]
[ROW][C]136[/C][C]0.997943[/C][C]0.00411379[/C][C]0.00205689[/C][/ROW]
[ROW][C]137[/C][C]0.998932[/C][C]0.00213677[/C][C]0.00106838[/C][/ROW]
[ROW][C]138[/C][C]0.99873[/C][C]0.00254016[/C][C]0.00127008[/C][/ROW]
[ROW][C]139[/C][C]0.999053[/C][C]0.00189459[/C][C]0.000947295[/C][/ROW]
[ROW][C]140[/C][C]0.9989[/C][C]0.00220072[/C][C]0.00110036[/C][/ROW]
[ROW][C]141[/C][C]0.998556[/C][C]0.00288733[/C][C]0.00144366[/C][/ROW]
[ROW][C]142[/C][C]0.999354[/C][C]0.00129132[/C][C]0.000645659[/C][/ROW]
[ROW][C]143[/C][C]0.999346[/C][C]0.00130797[/C][C]0.000653985[/C][/ROW]
[ROW][C]144[/C][C]0.999627[/C][C]0.000745907[/C][C]0.000372953[/C][/ROW]
[ROW][C]145[/C][C]0.999613[/C][C]0.000774561[/C][C]0.000387281[/C][/ROW]
[ROW][C]146[/C][C]0.999586[/C][C]0.000827662[/C][C]0.000413831[/C][/ROW]
[ROW][C]147[/C][C]0.999514[/C][C]0.000972791[/C][C]0.000486395[/C][/ROW]
[ROW][C]148[/C][C]0.999401[/C][C]0.00119815[/C][C]0.000599076[/C][/ROW]
[ROW][C]149[/C][C]0.99928[/C][C]0.00143985[/C][C]0.000719924[/C][/ROW]
[ROW][C]150[/C][C]0.999454[/C][C]0.00109158[/C][C]0.000545789[/C][/ROW]
[ROW][C]151[/C][C]0.999827[/C][C]0.000345881[/C][C]0.000172941[/C][/ROW]
[ROW][C]152[/C][C]0.999789[/C][C]0.000422535[/C][C]0.000211267[/C][/ROW]
[ROW][C]153[/C][C]0.999846[/C][C]0.000308586[/C][C]0.000154293[/C][/ROW]
[ROW][C]154[/C][C]0.999823[/C][C]0.000354229[/C][C]0.000177114[/C][/ROW]
[ROW][C]155[/C][C]0.999845[/C][C]0.000310736[/C][C]0.000155368[/C][/ROW]
[ROW][C]156[/C][C]0.999797[/C][C]0.000406259[/C][C]0.00020313[/C][/ROW]
[ROW][C]157[/C][C]0.999794[/C][C]0.000411747[/C][C]0.000205874[/C][/ROW]
[ROW][C]158[/C][C]0.999788[/C][C]0.000424817[/C][C]0.000212408[/C][/ROW]
[ROW][C]159[/C][C]0.999753[/C][C]0.000493089[/C][C]0.000246544[/C][/ROW]
[ROW][C]160[/C][C]0.999667[/C][C]0.000665916[/C][C]0.000332958[/C][/ROW]
[ROW][C]161[/C][C]0.999707[/C][C]0.000586491[/C][C]0.000293246[/C][/ROW]
[ROW][C]162[/C][C]0.999741[/C][C]0.000517697[/C][C]0.000258848[/C][/ROW]
[ROW][C]163[/C][C]0.999694[/C][C]0.00061267[/C][C]0.000306335[/C][/ROW]
[ROW][C]164[/C][C]0.999963[/C][C]7.48756e-05[/C][C]3.74378e-05[/C][/ROW]
[ROW][C]165[/C][C]0.99996[/C][C]7.91024e-05[/C][C]3.95512e-05[/C][/ROW]
[ROW][C]166[/C][C]0.999944[/C][C]0.000111396[/C][C]5.56979e-05[/C][/ROW]
[ROW][C]167[/C][C]0.999957[/C][C]8.60769e-05[/C][C]4.30385e-05[/C][/ROW]
[ROW][C]168[/C][C]0.999971[/C][C]5.7415e-05[/C][C]2.87075e-05[/C][/ROW]
[ROW][C]169[/C][C]0.999963[/C][C]7.41605e-05[/C][C]3.70802e-05[/C][/ROW]
[ROW][C]170[/C][C]0.999963[/C][C]7.46263e-05[/C][C]3.73131e-05[/C][/ROW]
[ROW][C]171[/C][C]0.99996[/C][C]7.93808e-05[/C][C]3.96904e-05[/C][/ROW]
[ROW][C]172[/C][C]0.999972[/C][C]5.6926e-05[/C][C]2.8463e-05[/C][/ROW]
[ROW][C]173[/C][C]0.999966[/C][C]6.74099e-05[/C][C]3.3705e-05[/C][/ROW]
[ROW][C]174[/C][C]0.999957[/C][C]8.60697e-05[/C][C]4.30349e-05[/C][/ROW]
[ROW][C]175[/C][C]0.999946[/C][C]0.000108842[/C][C]5.44212e-05[/C][/ROW]
[ROW][C]176[/C][C]0.999958[/C][C]8.4892e-05[/C][C]4.2446e-05[/C][/ROW]
[ROW][C]177[/C][C]0.999951[/C][C]9.83651e-05[/C][C]4.91826e-05[/C][/ROW]
[ROW][C]178[/C][C]0.999968[/C][C]6.45987e-05[/C][C]3.22994e-05[/C][/ROW]
[ROW][C]179[/C][C]0.999958[/C][C]8.47481e-05[/C][C]4.23741e-05[/C][/ROW]
[ROW][C]180[/C][C]0.999958[/C][C]8.36099e-05[/C][C]4.1805e-05[/C][/ROW]
[ROW][C]181[/C][C]0.999955[/C][C]8.94134e-05[/C][C]4.47067e-05[/C][/ROW]
[ROW][C]182[/C][C]0.999937[/C][C]0.000126305[/C][C]6.31526e-05[/C][/ROW]
[ROW][C]183[/C][C]0.999941[/C][C]0.000118211[/C][C]5.91056e-05[/C][/ROW]
[ROW][C]184[/C][C]0.999921[/C][C]0.000158744[/C][C]7.93719e-05[/C][/ROW]
[ROW][C]185[/C][C]0.99991[/C][C]0.000180312[/C][C]9.01562e-05[/C][/ROW]
[ROW][C]186[/C][C]0.999881[/C][C]0.000237139[/C][C]0.00011857[/C][/ROW]
[ROW][C]187[/C][C]0.999945[/C][C]0.000109428[/C][C]5.47138e-05[/C][/ROW]
[ROW][C]188[/C][C]0.999926[/C][C]0.000148859[/C][C]7.44294e-05[/C][/ROW]
[ROW][C]189[/C][C]0.999894[/C][C]0.000212318[/C][C]0.000106159[/C][/ROW]
[ROW][C]190[/C][C]0.99985[/C][C]0.000300145[/C][C]0.000150073[/C][/ROW]
[ROW][C]191[/C][C]0.999793[/C][C]0.000413496[/C][C]0.000206748[/C][/ROW]
[ROW][C]192[/C][C]0.999726[/C][C]0.000547577[/C][C]0.000273788[/C][/ROW]
[ROW][C]193[/C][C]0.999694[/C][C]0.000611978[/C][C]0.000305989[/C][/ROW]
[ROW][C]194[/C][C]0.99983[/C][C]0.000339778[/C][C]0.000169889[/C][/ROW]
[ROW][C]195[/C][C]0.999766[/C][C]0.000468638[/C][C]0.000234319[/C][/ROW]
[ROW][C]196[/C][C]0.999706[/C][C]0.000587822[/C][C]0.000293911[/C][/ROW]
[ROW][C]197[/C][C]0.999683[/C][C]0.000633118[/C][C]0.000316559[/C][/ROW]
[ROW][C]198[/C][C]0.999556[/C][C]0.000887662[/C][C]0.000443831[/C][/ROW]
[ROW][C]199[/C][C]0.999621[/C][C]0.000757382[/C][C]0.000378691[/C][/ROW]
[ROW][C]200[/C][C]0.999564[/C][C]0.000872496[/C][C]0.000436248[/C][/ROW]
[ROW][C]201[/C][C]0.999453[/C][C]0.00109478[/C][C]0.000547388[/C][/ROW]
[ROW][C]202[/C][C]0.99934[/C][C]0.00131958[/C][C]0.00065979[/C][/ROW]
[ROW][C]203[/C][C]0.999219[/C][C]0.00156264[/C][C]0.00078132[/C][/ROW]
[ROW][C]204[/C][C]0.99904[/C][C]0.00191969[/C][C]0.000959847[/C][/ROW]
[ROW][C]205[/C][C]0.998724[/C][C]0.00255191[/C][C]0.00127595[/C][/ROW]
[ROW][C]206[/C][C]0.999102[/C][C]0.00179676[/C][C]0.000898378[/C][/ROW]
[ROW][C]207[/C][C]0.998801[/C][C]0.00239832[/C][C]0.00119916[/C][/ROW]
[ROW][C]208[/C][C]0.9986[/C][C]0.00280085[/C][C]0.00140043[/C][/ROW]
[ROW][C]209[/C][C]0.998538[/C][C]0.00292466[/C][C]0.00146233[/C][/ROW]
[ROW][C]210[/C][C]0.998413[/C][C]0.00317439[/C][C]0.00158719[/C][/ROW]
[ROW][C]211[/C][C]0.997789[/C][C]0.00442252[/C][C]0.00221126[/C][/ROW]
[ROW][C]212[/C][C]0.997152[/C][C]0.00569588[/C][C]0.00284794[/C][/ROW]
[ROW][C]213[/C][C]0.997622[/C][C]0.00475604[/C][C]0.00237802[/C][/ROW]
[ROW][C]214[/C][C]0.997123[/C][C]0.00575346[/C][C]0.00287673[/C][/ROW]
[ROW][C]215[/C][C]0.996765[/C][C]0.00646949[/C][C]0.00323475[/C][/ROW]
[ROW][C]216[/C][C]0.995817[/C][C]0.00836609[/C][C]0.00418305[/C][/ROW]
[ROW][C]217[/C][C]0.995478[/C][C]0.0090439[/C][C]0.00452195[/C][/ROW]
[ROW][C]218[/C][C]0.994883[/C][C]0.0102334[/C][C]0.00511669[/C][/ROW]
[ROW][C]219[/C][C]0.992934[/C][C]0.0141317[/C][C]0.00706583[/C][/ROW]
[ROW][C]220[/C][C]0.990741[/C][C]0.0185173[/C][C]0.00925865[/C][/ROW]
[ROW][C]221[/C][C]0.991458[/C][C]0.0170833[/C][C]0.00854164[/C][/ROW]
[ROW][C]222[/C][C]0.992134[/C][C]0.0157317[/C][C]0.00786584[/C][/ROW]
[ROW][C]223[/C][C]0.989252[/C][C]0.0214969[/C][C]0.0107484[/C][/ROW]
[ROW][C]224[/C][C]0.989986[/C][C]0.0200289[/C][C]0.0100144[/C][/ROW]
[ROW][C]225[/C][C]0.989873[/C][C]0.0202542[/C][C]0.0101271[/C][/ROW]
[ROW][C]226[/C][C]0.995073[/C][C]0.00985455[/C][C]0.00492728[/C][/ROW]
[ROW][C]227[/C][C]0.995903[/C][C]0.00819475[/C][C]0.00409738[/C][/ROW]
[ROW][C]228[/C][C]0.996624[/C][C]0.006753[/C][C]0.0033765[/C][/ROW]
[ROW][C]229[/C][C]0.995529[/C][C]0.00894189[/C][C]0.00447094[/C][/ROW]
[ROW][C]230[/C][C]0.996817[/C][C]0.00636647[/C][C]0.00318324[/C][/ROW]
[ROW][C]231[/C][C]0.997921[/C][C]0.00415839[/C][C]0.00207919[/C][/ROW]
[ROW][C]232[/C][C]0.997076[/C][C]0.0058484[/C][C]0.0029242[/C][/ROW]
[ROW][C]233[/C][C]0.995995[/C][C]0.00800936[/C][C]0.00400468[/C][/ROW]
[ROW][C]234[/C][C]0.99468[/C][C]0.010641[/C][C]0.00532048[/C][/ROW]
[ROW][C]235[/C][C]0.993925[/C][C]0.0121499[/C][C]0.00607497[/C][/ROW]
[ROW][C]236[/C][C]0.998956[/C][C]0.00208788[/C][C]0.00104394[/C][/ROW]
[ROW][C]237[/C][C]0.998856[/C][C]0.0022888[/C][C]0.0011444[/C][/ROW]
[ROW][C]238[/C][C]0.998691[/C][C]0.00261844[/C][C]0.00130922[/C][/ROW]
[ROW][C]239[/C][C]0.998286[/C][C]0.00342856[/C][C]0.00171428[/C][/ROW]
[ROW][C]240[/C][C]0.997296[/C][C]0.00540867[/C][C]0.00270434[/C][/ROW]
[ROW][C]241[/C][C]0.997257[/C][C]0.0054856[/C][C]0.0027428[/C][/ROW]
[ROW][C]242[/C][C]0.995753[/C][C]0.0084941[/C][C]0.00424705[/C][/ROW]
[ROW][C]243[/C][C]0.994385[/C][C]0.0112302[/C][C]0.00561508[/C][/ROW]
[ROW][C]244[/C][C]0.992307[/C][C]0.0153867[/C][C]0.00769335[/C][/ROW]
[ROW][C]245[/C][C]0.98834[/C][C]0.0233193[/C][C]0.0116597[/C][/ROW]
[ROW][C]246[/C][C]0.982776[/C][C]0.0344485[/C][C]0.0172243[/C][/ROW]
[ROW][C]247[/C][C]0.976838[/C][C]0.0463248[/C][C]0.0231624[/C][/ROW]
[ROW][C]248[/C][C]0.970648[/C][C]0.0587038[/C][C]0.0293519[/C][/ROW]
[ROW][C]249[/C][C]0.961163[/C][C]0.0776747[/C][C]0.0388373[/C][/ROW]
[ROW][C]250[/C][C]0.945716[/C][C]0.108569[/C][C]0.0542844[/C][/ROW]
[ROW][C]251[/C][C]0.925474[/C][C]0.149052[/C][C]0.0745261[/C][/ROW]
[ROW][C]252[/C][C]0.91556[/C][C]0.16888[/C][C]0.0844402[/C][/ROW]
[ROW][C]253[/C][C]0.885933[/C][C]0.228134[/C][C]0.114067[/C][/ROW]
[ROW][C]254[/C][C]0.883347[/C][C]0.233305[/C][C]0.116653[/C][/ROW]
[ROW][C]255[/C][C]0.859991[/C][C]0.280017[/C][C]0.140009[/C][/ROW]
[ROW][C]256[/C][C]0.817957[/C][C]0.364086[/C][C]0.182043[/C][/ROW]
[ROW][C]257[/C][C]0.813106[/C][C]0.373788[/C][C]0.186894[/C][/ROW]
[ROW][C]258[/C][C]0.944968[/C][C]0.110064[/C][C]0.055032[/C][/ROW]
[ROW][C]259[/C][C]0.940327[/C][C]0.119346[/C][C]0.0596731[/C][/ROW]
[ROW][C]260[/C][C]0.997978[/C][C]0.00404343[/C][C]0.00202172[/C][/ROW]
[ROW][C]261[/C][C]0.996152[/C][C]0.00769578[/C][C]0.00384789[/C][/ROW]
[ROW][C]262[/C][C]0.994925[/C][C]0.0101502[/C][C]0.00507512[/C][/ROW]
[ROW][C]263[/C][C]0.999877[/C][C]0.000246485[/C][C]0.000123243[/C][/ROW]
[ROW][C]264[/C][C]0.999585[/C][C]0.000829027[/C][C]0.000414513[/C][/ROW]
[ROW][C]265[/C][C]0.999433[/C][C]0.0011333[/C][C]0.000566648[/C][/ROW]
[ROW][C]266[/C][C]0.998713[/C][C]0.00257415[/C][C]0.00128708[/C][/ROW]
[ROW][C]267[/C][C]0.99983[/C][C]0.00033953[/C][C]0.000169765[/C][/ROW]
[ROW][C]268[/C][C]0.999116[/C][C]0.00176704[/C][C]0.000883521[/C][/ROW]
[ROW][C]269[/C][C]0.998478[/C][C]0.00304317[/C][C]0.00152158[/C][/ROW]
[ROW][C]270[/C][C]0.990296[/C][C]0.019408[/C][C]0.009704[/C][/ROW]
[ROW][C]271[/C][C]0.966002[/C][C]0.0679967[/C][C]0.0339983[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268307&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268307&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
80.722820.554360.27718
90.5790710.8418570.420929
100.4925220.9850440.507478
110.366990.7339810.63301
120.4231620.8463250.576838
130.3180250.636050.681975
140.2358360.4716720.764164
150.169180.338360.83082
160.165280.3305610.83472
170.1244750.248950.875525
180.08810770.1762150.911892
190.05959870.1191970.940401
200.04074570.08149140.959254
210.0391750.078350.960825
220.1034740.2069480.896526
230.0781230.1562460.921877
240.06227830.1245570.937722
250.04883070.09766140.951169
260.05004630.1000930.949954
270.07317470.1463490.926825
280.07379660.1475930.926203
290.05956550.1191310.940435
300.04318310.08636620.956817
310.09254020.185080.90746
320.07711140.1542230.922889
330.06298170.1259630.937018
340.06050080.1210020.939499
350.04535870.09071740.954641
360.03416670.06833330.965833
370.0257850.05156990.974215
380.03157560.06315130.968424
390.02829330.05658650.971707
400.02105690.04211370.978943
410.04309840.08619680.956902
420.03487580.06975160.965124
430.02912340.05824680.970877
440.02508820.05017630.974912
450.020210.04041990.97979
460.01732130.03464260.982679
470.01326010.02652020.98674
480.0133280.0266560.986672
490.01239870.02479750.987601
500.01373420.02746830.986266
510.0105630.02112610.989437
520.01203980.02407970.98796
530.009340020.018680.99066
540.008805160.01761030.991195
550.009946110.01989220.990054
560.007681270.01536250.992319
570.02170780.04341550.978292
580.02712880.05425760.972871
590.02160730.04321460.978393
600.02089840.04179680.979102
610.02876270.05752550.971237
620.02848040.05696080.97152
630.03608010.07216010.96392
640.04207060.08414110.957929
650.04878120.09756250.951219
660.04040160.08080310.959598
670.04091830.08183650.959082
680.04714940.09429880.952851
690.05379820.1075960.946202
700.04627070.09254140.953729
710.04420780.08841570.955792
720.03814240.07628470.961858
730.03504440.07008880.964956
740.04665440.09330880.953346
750.03973160.07946310.960268
760.03579750.07159510.964202
770.03233180.06466370.967668
780.03169330.06338660.968307
790.02583060.05166120.974169
800.03848940.07697870.961511
810.03247750.06495490.967523
820.03520850.07041710.964791
830.02943390.05886790.970566
840.08249710.1649940.917503
850.08199710.1639940.918003
860.07495980.149920.92504
870.06693120.1338620.933069
880.06313080.1262620.936869
890.06120840.1224170.938792
900.06041090.1208220.939589
910.05942160.1188430.940578
920.1340380.2680750.865962
930.1561310.3122610.843869
940.1549370.3098730.845063
950.1738190.3476380.826181
960.1767420.3534840.823258
970.2538950.5077890.746105
980.2423830.4847650.757617
990.2633540.5267070.736646
1000.3163630.6327260.683637
1010.2921660.5843330.707834
1020.2810430.5620850.718957
1030.2996620.5993240.700338
1040.3330580.6661160.666942
1050.3570880.7141760.642912
1060.3986150.7972310.601385
1070.4132110.8264220.586789
1080.6554590.6890820.344541
1090.7033460.5933090.296654
1100.7234150.553170.276585
1110.7206050.558790.279395
1120.7097970.5804060.290203
1130.8357160.3285680.164284
1140.8234980.3530040.176502
1150.9077680.1844630.0922317
1160.9520.09599950.0479998
1170.9536860.09262870.0463143
1180.9564970.08700670.0435034
1190.9629090.07418280.0370914
1200.9787820.04243570.0212178
1210.9836460.03270830.0163542
1220.9872230.02555490.0127775
1230.9915590.01688140.00844069
1240.9967770.006445170.00322258
1250.9968290.006341110.00317056
1260.9964520.007096210.00354811
1270.9970790.005841340.00292067
1280.9966590.006682370.00334118
1290.9984930.003014940.00150747
1300.9985470.00290540.0014527
1310.9986220.002756790.0013784
1320.9987120.002575940.00128797
1330.9987360.002527460.00126373
1340.9986620.002676810.0013384
1350.9983260.003348060.00167403
1360.9979430.004113790.00205689
1370.9989320.002136770.00106838
1380.998730.002540160.00127008
1390.9990530.001894590.000947295
1400.99890.002200720.00110036
1410.9985560.002887330.00144366
1420.9993540.001291320.000645659
1430.9993460.001307970.000653985
1440.9996270.0007459070.000372953
1450.9996130.0007745610.000387281
1460.9995860.0008276620.000413831
1470.9995140.0009727910.000486395
1480.9994010.001198150.000599076
1490.999280.001439850.000719924
1500.9994540.001091580.000545789
1510.9998270.0003458810.000172941
1520.9997890.0004225350.000211267
1530.9998460.0003085860.000154293
1540.9998230.0003542290.000177114
1550.9998450.0003107360.000155368
1560.9997970.0004062590.00020313
1570.9997940.0004117470.000205874
1580.9997880.0004248170.000212408
1590.9997530.0004930890.000246544
1600.9996670.0006659160.000332958
1610.9997070.0005864910.000293246
1620.9997410.0005176970.000258848
1630.9996940.000612670.000306335
1640.9999637.48756e-053.74378e-05
1650.999967.91024e-053.95512e-05
1660.9999440.0001113965.56979e-05
1670.9999578.60769e-054.30385e-05
1680.9999715.7415e-052.87075e-05
1690.9999637.41605e-053.70802e-05
1700.9999637.46263e-053.73131e-05
1710.999967.93808e-053.96904e-05
1720.9999725.6926e-052.8463e-05
1730.9999666.74099e-053.3705e-05
1740.9999578.60697e-054.30349e-05
1750.9999460.0001088425.44212e-05
1760.9999588.4892e-054.2446e-05
1770.9999519.83651e-054.91826e-05
1780.9999686.45987e-053.22994e-05
1790.9999588.47481e-054.23741e-05
1800.9999588.36099e-054.1805e-05
1810.9999558.94134e-054.47067e-05
1820.9999370.0001263056.31526e-05
1830.9999410.0001182115.91056e-05
1840.9999210.0001587447.93719e-05
1850.999910.0001803129.01562e-05
1860.9998810.0002371390.00011857
1870.9999450.0001094285.47138e-05
1880.9999260.0001488597.44294e-05
1890.9998940.0002123180.000106159
1900.999850.0003001450.000150073
1910.9997930.0004134960.000206748
1920.9997260.0005475770.000273788
1930.9996940.0006119780.000305989
1940.999830.0003397780.000169889
1950.9997660.0004686380.000234319
1960.9997060.0005878220.000293911
1970.9996830.0006331180.000316559
1980.9995560.0008876620.000443831
1990.9996210.0007573820.000378691
2000.9995640.0008724960.000436248
2010.9994530.001094780.000547388
2020.999340.001319580.00065979
2030.9992190.001562640.00078132
2040.999040.001919690.000959847
2050.9987240.002551910.00127595
2060.9991020.001796760.000898378
2070.9988010.002398320.00119916
2080.99860.002800850.00140043
2090.9985380.002924660.00146233
2100.9984130.003174390.00158719
2110.9977890.004422520.00221126
2120.9971520.005695880.00284794
2130.9976220.004756040.00237802
2140.9971230.005753460.00287673
2150.9967650.006469490.00323475
2160.9958170.008366090.00418305
2170.9954780.00904390.00452195
2180.9948830.01023340.00511669
2190.9929340.01413170.00706583
2200.9907410.01851730.00925865
2210.9914580.01708330.00854164
2220.9921340.01573170.00786584
2230.9892520.02149690.0107484
2240.9899860.02002890.0100144
2250.9898730.02025420.0101271
2260.9950730.009854550.00492728
2270.9959030.008194750.00409738
2280.9966240.0067530.0033765
2290.9955290.008941890.00447094
2300.9968170.006366470.00318324
2310.9979210.004158390.00207919
2320.9970760.00584840.0029242
2330.9959950.008009360.00400468
2340.994680.0106410.00532048
2350.9939250.01214990.00607497
2360.9989560.002087880.00104394
2370.9988560.00228880.0011444
2380.9986910.002618440.00130922
2390.9982860.003428560.00171428
2400.9972960.005408670.00270434
2410.9972570.00548560.0027428
2420.9957530.00849410.00424705
2430.9943850.01123020.00561508
2440.9923070.01538670.00769335
2450.988340.02331930.0116597
2460.9827760.03444850.0172243
2470.9768380.04632480.0231624
2480.9706480.05870380.0293519
2490.9611630.07767470.0388373
2500.9457160.1085690.0542844
2510.9254740.1490520.0745261
2520.915560.168880.0844402
2530.8859330.2281340.114067
2540.8833470.2333050.116653
2550.8599910.2800170.140009
2560.8179570.3640860.182043
2570.8131060.3737880.186894
2580.9449680.1100640.055032
2590.9403270.1193460.0596731
2600.9979780.004043430.00202172
2610.9961520.007695780.00384789
2620.9949250.01015020.00507512
2630.9998770.0002464850.000123243
2640.9995850.0008290270.000414513
2650.9994330.00113330.000566648
2660.9987130.002574150.00128708
2670.999830.000339530.000169765
2680.9991160.001767040.000883521
2690.9984780.003043170.00152158
2700.9902960.0194080.009704
2710.9660020.06799670.0339983






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level1180.44697NOK
5% type I error level1550.587121NOK
10% type I error level1980.75NOK

\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 & 118 & 0.44697 & NOK \tabularnewline
5% type I error level & 155 & 0.587121 & NOK \tabularnewline
10% type I error level & 198 & 0.75 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268307&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]118[/C][C]0.44697[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]155[/C][C]0.587121[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]198[/C][C]0.75[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268307&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268307&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 level1180.44697NOK
5% type I error level1550.587121NOK
10% type I error level1980.75NOK


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')
}