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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 19:41:39 +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/t1418672856pgh2l5mwubn5s0v.htm/, Retrieved Thu, 16 May 2024 05:40:03 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=268952, Retrieved Thu, 16 May 2024 05:40:03 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact74

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Boxplot and Trimmed Means] [Reddy Moores Boxp...] [2010-10-12 16:37:57] [98fd0e87c3eb04e0cc2efde01dbafab6]
- R P   [Boxplot and Trimmed Means] [Reddy-Moores Plac...] [2010-10-13 09:46:26] [98fd0e87c3eb04e0cc2efde01dbafab6]
- RMPD    [Notched Boxplots] [] [2010-10-15 11:13:23] [b98453cac15ba1066b407e146608df68]
- RMPD        [Multiple Regression] [multiple regression] [2014-12-15 19:41:39] [8a5be748fffbe1272db475ee7e612f22] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
12.9 68 149 18
7.4 55 152 7
12.2 39 139 31
12.8 32 148 39
7.4 62 158 46
6.7 33 128 31
12.6 52 224 67
14.8 62 159 35
13.3 77 105 52
11.1 76 159 77
8.2 41 167 37
11.4 48 165 32
6.4 63 159 36
10.6 30 119 38
12.0 78 176 69
6.3 19 54 21
11.3 31 91 26
11.9 66 163 54
9.3 35 124 36
9.6 42 137 42
10.0 45 121 23
6.4 21 153 34
13.8 25 148 112
10.8 44 221 35
13.8 69 188 47
11.7 54 149 47
10.9 74 244 37
16.1 80 148 109
13.4 42 92 24
9.9 61 150 20
11.5 41 153 22
8.3 46 94 23
11.7 39 156 32
6.1 63 146 7
9.0 34 132 30
9.7 51 161 92
10.8 42 105 43
10.3 31 97 55
10.4 39 151 16
12.7 20 131 49
9.3 49 166 71
11.8 53 157 43
5.9 31 111 29
11.4 39 145 56
13.0 54 162 46
10.8 49 163 19
12.3 34 59 23
11.3 46 187 59
11.8 55 109 30
7.9 42 90 61
12.7 50 105 7
12.3 13 83 38
11.6 37 116 32
6.7 25 42 16
10.9 30 148 19
12.1 28 155 22
13.3 45 125 48
10.1 35 116 23
5.7 28 128 26
14.3 41 138 33
8.0 6 49 9
13.3 45 96 24
9.3 73 164 34
12.5 17 162 48
7.6 40 99 18
15.9 64 202 43
9.2 37 186 33
9.1 25 66 28
11.1 65 183 71
13.0 100 214 26
14.5 28 188 67
12.2 35 104 34
12.3 56 177 80
11.4 29 126 29
8.8 43 76 16
14.6 59 99 59
7.3 52 157 58
12.6 50 139 32
13.0 59 162 43
12.6 27 108 38
13.2 61 159 29
9.9 28 74 36
7.7 51 110 32
10.5 35 96 35
13.4 29 116 21
10.9 48 87 29
4.3 25 97 12
10.3 44 127 37
11.8 64 106 37
11.2 32 80 47
11.4 20 74 51
8.6 28 91 32
13.2 34 133 21
12.6 31 74 13
5.6 26 114 14
9.9 58 140 -2
8.8 23 95 20
7.7 21 98 24
9.0 21 121 11
7.3 33 126 23
11.4 16 98 24
13.6 20 95 14
7.9 37 110 52
10.7 35 70 15
10.3 33 102 23
8.3 27 86 19
9.6 41 130 35
14.2 40 96 24
8.5 35 102 39
13.5 28 100 29
4.9 32 94 13
6.4 22 52 8
9.6 44 98 18
11.6 27 118 24
11.1 17 99 19
4.35 12 48 23
12.7 45 50 16
18.1 37 150 33
17.85 37 154 32
16.6 108 109 37
12.6 10 68 14
17.1 68 194 52
19.1 72 158 75
16.1 143 159 72
13.35 9 67 15
18.4 55 147 29
14.7 17 39 13
10.6 37 100 40
12.6 27 111 19
16.2 37 138 24
13.6 58 101 121
18.9 66 131 93
14.1 21 101 36
14.5 19 114 23
16.15 78 165 85
14.75 35 114 41
14.8 48 111 46
12.45 27 75 18
12.65 43 82 35
17.35 30 121 17
8.6 25 32 4
18.4 69 150 28
16.1 72 117 44
11.6 23 71 10
17.75 13 165 38
15.25 61 154 57
17.65 43 126 23
15.6 22 138 26
16.35 51 149 36
17.65 67 145 22
13.6 36 120 40
11.7 21 138 18
14.35 44 109 31
14.75 45 132 11
18.25 34 172 38
9.9 36 169 24
16 72 114 37
18.25 39 156 37
16.85 43 172 22
14.6 25 68 15
13.85 56 89 2
18.95 80 167 43
15.6 40 113 31
14.85 73 115 29
11.75 34 78 45
18.45 72 118 25
15.9 42 87 4
17.1 61 173 31
16.1 23 2 -4
19.9 74 162 66
10.95 16 49 61
18.45 66 122 32
15.1 9 96 31
15 41 100 39
11.35 57 82 19
15.95 48 100 31
18.1 51 115 36
14.6 53 141 42
15.4 29 165 21
15.4 29 165 21
17.6 55 110 25
13.35 54 118 32
19.1 43 158 26
15.35 51 146 28
7.6 20 49 32
13.4 79 90 41
13.9 39 121 29
19.1 61 155 33
15.25 55 104 17
12.9 30 147 13
16.1 55 110 32
17.35 22 108 30
13.15 37 113 34
12.15 2 115 59
12.6 38 61 13
10.35 27 60 23
15.4 56 109 10
9.6 25 68 5
18.2 39 111 31
13.6 33 77 19
14.85 43 73 32
14.75 57 151 30
14.1 43 89 25
14.9 23 78 48
16.25 44 110 35
19.25 54 220 67
13.6 28 65 15
13.6 36 141 22
15.65 39 117 18
12.75 16 122 33
14.6 23 63 46
9.85 40 44 24
12.65 24 52 14
11.9 29 62 23
19.2 78 131 12
16.6 57 101 38
11.2 37 42 12
15.25 27 152 28
11.9 61 107 41
13.2 27 77 12
16.35 69 154 31
12.4 34 103 33
15.85 44 96 34
14.35 21 154 41
18.15 34 175 21
11.15 39 57 20
15.65 51 112 44
17.75 34 143 52
7.65 31 49 7
12.35 13 110 29
15.6 12 131 11
19.3 51 167 26
15.2 24 56 24
17.1 19 137 7
15.6 30 86 60
18.4 81 121 13
19.05 42 149 20
18.55 22 168 52
19.1 85 140 28
13.1 27 88 25
12.85 25 168 39
9.5 22 94 9
4.5 19 51 19
11.85 14 48 13
13.6 45 145 60
11.7 45 66 19
12.4 28 85 34
13.35 51 109 14
11.4 41 63 17
14.9 31 102 45
19.9 74 162 66
17.75 24 128 24
11.2 19 86 48
14.6 51 114 29
17.6 73 164 -2
14.05 24 119 51
16.1 61 126 2
13.35 23 132 24
11.85 14 142 40
11.95 54 83 20
14.75 51 94 19
15.15 62 81 16
13.2 36 166 20
16.85 59 110 40
7.85 24 64 27
7.7 26 93 25
12.6 54 104 49
7.85 39 105 39
10.95 16 49 61
12.35 36 88 19
9.95 31 95 67
14.9 31 102 45
16.65 42 99 30
13.4 39 63 8
13.95 25 76 19
15.7 31 109 52
16.85 38 117 22
10.95 31 57 17
15.35 17 120 33
12.2 22 73 34
15.1 55 91 22
17.75 62 108 30
15.2 51 105 25
14.6 30 117 38
16.65 49 119 26
8.1 16 31 13

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'Gertrude Mary Cox' @ cox.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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268952&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268952&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268952&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'Gertrude Mary Cox' @ cox.wessa.net






Multiple Linear Regression - Estimated Regression Equation
TOT[t] = + 9.30279 + 0.0460284CH[t] + 0.0143039LFM[t] + 0.00183136PRH[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
TOT[t] =  +  9.30279 +  0.0460284CH[t] +  0.0143039LFM[t] +  0.00183136PRH[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268952&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]TOT[t] =  +  9.30279 +  0.0460284CH[t] +  0.0143039LFM[t] +  0.00183136PRH[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268952&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268952&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] = + 9.30279 + 0.0460284CH[t] + 0.0143039LFM[t] + 0.00183136PRH[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)9.302790.62762214.823.76953e-371.88477e-37
CH0.04602840.01118944.1145.11736e-052.55868e-05
LFM0.01430390.005557682.5740.01057220.00528609
PRH0.001831360.01093810.16740.8671520.433576

\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) & 9.30279 & 0.627622 & 14.82 & 3.76953e-37 & 1.88477e-37 \tabularnewline
CH & 0.0460284 & 0.0111894 & 4.114 & 5.11736e-05 & 2.55868e-05 \tabularnewline
LFM & 0.0143039 & 0.00555768 & 2.574 & 0.0105722 & 0.00528609 \tabularnewline
PRH & 0.00183136 & 0.0109381 & 0.1674 & 0.867152 & 0.433576 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268952&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]9.30279[/C][C]0.627622[/C][C]14.82[/C][C]3.76953e-37[/C][C]1.88477e-37[/C][/ROW]
[ROW][C]CH[/C][C]0.0460284[/C][C]0.0111894[/C][C]4.114[/C][C]5.11736e-05[/C][C]2.55868e-05[/C][/ROW]
[ROW][C]LFM[/C][C]0.0143039[/C][C]0.00555768[/C][C]2.574[/C][C]0.0105722[/C][C]0.00528609[/C][/ROW]
[ROW][C]PRH[/C][C]0.00183136[/C][C]0.0109381[/C][C]0.1674[/C][C]0.867152[/C][C]0.433576[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268952&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268952&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)9.302790.62762214.823.76953e-371.88477e-37
CH0.04602840.01118944.1145.11736e-052.55868e-05
LFM0.01430390.005557682.5740.01057220.00528609
PRH0.001831360.01093810.16740.8671520.433576






Multiple Linear Regression - Regression Statistics
Multiple R0.36466
R-squared0.132977
Adjusted R-squared0.123753
F-TEST (value)14.4169
F-TEST (DF numerator)3
F-TEST (DF denominator)282
p-value9.16426e-09
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation3.20258
Sum Squared Residuals2892.34

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.36466 \tabularnewline
R-squared & 0.132977 \tabularnewline
Adjusted R-squared & 0.123753 \tabularnewline
F-TEST (value) & 14.4169 \tabularnewline
F-TEST (DF numerator) & 3 \tabularnewline
F-TEST (DF denominator) & 282 \tabularnewline
p-value & 9.16426e-09 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 3.20258 \tabularnewline
Sum Squared Residuals & 2892.34 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268952&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.36466[/C][/ROW]
[ROW][C]R-squared[/C][C]0.132977[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.123753[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]14.4169[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]3[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]282[/C][/ROW]
[ROW][C]p-value[/C][C]9.16426e-09[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]3.20258[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]2892.34[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268952&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268952&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 R0.36466
R-squared0.132977
Adjusted R-squared0.123753
F-TEST (value)14.4169
F-TEST (DF numerator)3
F-TEST (DF denominator)282
p-value9.16426e-09
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation3.20258
Sum Squared Residuals2892.34






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
112.914.597-1.69697
27.414.0214-6.62137
312.213.1429-0.942916
412.812.9641-0.164103
57.414.5008-7.10081
66.712.7094-6.0094
712.615.023-2.42305
814.814.4950.305026
913.314.4441-1.14412
1011.115.2163-4.11629
118.213.6465-5.44647
1211.413.9309-2.53091
136.414.5428-8.14283
1410.612.4554-1.8554
151215.5369-3.53686
166.310.9882-4.6882
1711.312.0789-0.778945
1811.914.7711-2.8711
199.312.7534-3.4534
209.613.2725-3.67254
211013.147-3.14697
226.412.5202-6.12015
2313.812.77561.02441
2410.814.5533-3.7533
2513.815.254-1.45396
2611.714.0057-2.30568
2710.916.2668-5.36681
2816.115.30170.798337
2913.412.59590.804101
309.914.2927-4.39274
3111.513.4187-1.91875
328.312.8068-4.50679
3311.713.3879-1.68791
346.114.3038-8.20377
35912.8108-3.81082
369.714.1217-4.42166
3710.812.8166-2.01665
3810.312.2179-1.91788
3910.413.2871-2.88709
4012.712.18690.51309
419.314.0627-4.76266
4211.814.0668-2.26676
435.912.3705-6.47052
4411.413.2745-1.87452
451314.1898-1.1898
4610.813.9245-3.12452
4712.311.75380.546189
4811.314.203-2.90298
4911.813.4484-1.64842
507.912.6351-4.73505
5112.713.1189-0.418944
5212.311.1581.14202
5311.612.7237-1.1237
546.711.0836-4.38357
5510.912.8354-1.93542
5612.112.849-0.748984
5713.313.250.0500345
5810.112.6152-2.51516
595.712.4701-6.7701
6014.313.22431.07567
61810.2963-2.29634
6213.312.79120.5088
639.315.071-5.77097
6412.512.49040.00958602
657.612.593-4.99298
6615.915.21670.683251
679.213.7268-4.52681
689.111.4488-2.34884
6911.115.0423-3.94228
701317.0143-4.01429
7114.513.40341.09658
7212.212.4637-0.26366
7312.314.5587-2.25868
7411.412.493-1.09302
758.812.3984-3.59841
7614.613.54261.05739
777.314.0482-6.7482
7812.613.6511-1.05106
791314.4145-1.41445
8012.612.160.440026
8113.214.438-1.23796
829.911.716-1.81601
837.713.2823-5.58228
8410.512.3511-1.85106
8513.412.33531.06467
8610.912.8097-1.90971
874.311.863-7.56296
8810.313.2124-2.9124
8911.813.8326-2.03259
9011.212.0061-0.806089
9111.411.37520.0247501
928.611.9518-3.35185
9313.212.80860.391363
9412.611.8120.788029
955.612.1558-6.55582
969.913.9713-4.07133
978.811.7569-2.95695
987.711.7151-4.01513
99912.0203-3.02031
1007.312.6661-5.36614
10111.411.485-0.0849832
10213.611.60791.99213
1037.912.6745-4.7745
10410.711.9425-1.24253
10510.312.3229-2.02285
1068.311.8105-3.51049
1079.613.1136-3.51356
10814.212.56111.63894
1098.512.4442-3.94421
11013.512.07511.42491
1114.912.1441-7.24408
1126.411.0739-4.67387
1139.612.7628-3.16279
11411.612.2774-0.677374
11511.111.5362-0.436159
1164.3510.5838-6.23384
11712.712.11860.581431
11818.113.21194.88813
11917.8513.26724.58275
12016.615.90070.699251
12112.610.76141.83862
12217.115.30291.79709
12319.115.01424.08579
12416.118.291-2.19104
12513.3510.70292.64712
12618.413.99014.40986
12714.710.66694.03306
12810.612.5095-1.90949
12912.612.16810.43191
13016.213.02373.17626
13113.613.6387-0.0387306
13218.914.38484.5152
13314.111.782.31999
13414.511.85012.6499
13516.1515.40880.74118
13614.7512.61952.13048
13714.813.18411.61587
13812.4511.65130.798682
13912.6512.5190.130967
14017.3512.44564.90445
1418.610.9186-2.31855
14218.414.67563.72438
14316.114.3711.72902
14411.611.39530.204662
14517.7512.33095.4191
14615.2514.41770.832284
14717.6513.12644.52357
14815.612.3373.26303
14916.3513.84752.50255
15017.6514.50113.14895
15113.612.74950.850461
15211.712.2763-0.576293
15314.3512.94391.40606
15414.7513.28231.46767
15518.2513.39764.85238
1569.913.4211-3.52113
1571614.31521.68475
15818.2513.39714.85293
15916.8513.78263.06742
16014.611.45363.14636
16113.8513.15710.692905
16218.9515.45263.49743
16315.612.8172.78296
16414.8514.36090.489073
16511.7512.0659-0.315875
16618.4514.35054.09952
16715.912.48783.41225
16817.114.64192.45813
16916.110.38275.71727
17019.915.1474.753
17110.9510.85190.0981477
17218.4514.14434.30565
17315.111.1473.953
1741512.69182.30823
17511.3513.1341-1.78413
17615.9512.99932.95068
17718.113.36114.73888
17814.613.83610.763933
17915.413.03622.36378
18015.413.03622.36378
18117.613.45364.14643
18213.3513.5348-0.184792
18319.113.58965.51035
18415.3513.78991.56011
1857.610.9829-3.38286
18613.414.3015-0.901476
18713.912.88181.01822
18819.114.38814.71193
18915.2513.35311.8969
19012.912.81010.0898726
19116.113.46642.63361
19217.3511.91525.43482
19313.1512.68450.465548
19412.1511.14781.00215
19512.611.94820.651781
19610.3511.4459-1.09592
19715.413.45781.94218
1989.611.4353-1.83533
19918.212.74245.45759
20013.611.95791.64207
20114.8512.38482.4652
20214.7514.14120.608756
20314.112.60081.49915
20414.911.56513.33494
20516.2512.96563.28443
20619.2515.05794.19211
20713.611.54882.05119
20813.613.0170.583043
20915.6512.80442.84558
21012.7511.84480.905241
21114.611.34683.25316
2129.8511.8173-1.96725
21312.6511.17691.47308
21411.911.56660.333419
21519.214.78884.4112
21616.613.44073.1593
21711.211.6286-0.428585
21815.2512.7712.47897
21911.913.7161-1.81613
22013.211.66891.53106
22116.3514.73831.61167
22212.412.4015-0.00149657
22315.8512.76353.08652
22414.3512.54731.80272
22518.1513.40944.7406
22611.1511.9499-0.799852
22715.6513.33292.31714
22817.7513.00844.74155
2297.6511.4434-3.79339
23012.3511.52770.822298
23115.611.74913.85091
23219.314.08665.21339
23315.211.25243.94755
23417.112.14984.95021
23515.612.02373.57634
23618.414.78573.61432
23719.0513.40395.6461
23818.5512.81375.7363
23919.115.2693.83097
24013.111.85011.24991
24112.8512.928-0.0779825
2429.511.6765-2.17647
2434.510.9416-6.44163
24411.8510.65761.19241
24513.613.5580.0419801
24611.712.3529-0.652926
24712.411.86970.530313
24813.3513.2350.114993
24911.412.1222-0.722238
25014.912.27112.62892
25119.915.1474.753
25217.7512.28235.46767
25311.211.4954-0.295374
25414.613.3341.266
25517.615.0052.59495
25614.0512.2031.84696
25716.113.91652.18352
25813.3512.29351.05649
25911.8512.0516-0.2016
26011.9513.0122-1.06218
26114.7513.02961.72039
26215.1513.34451.80553
26313.213.3709-0.170892
26416.8513.66523.18485
2657.8511.3724-3.52237
2667.711.8756-4.17558
26712.613.3657-0.765671
2687.8512.6712-4.82123
26910.9510.85190.0981477
27012.3512.25340.0966442
2719.9512.2112-2.26125
27214.912.27112.62892
27316.6512.7073.94299
27413.412.01371.3863
27513.9511.57542.3746
27615.712.3843.31597
27716.8512.76574.08428
27810.9511.5761-0.62613
27915.3511.86223.48782
28012.211.42190.77813
28115.113.17631.9237
28217.7513.75633.99368
28315.213.19792.00206
28414.612.42682.17321
28516.6513.3083.34203
2868.110.5065-2.40648

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 12.9 & 14.597 & -1.69697 \tabularnewline
2 & 7.4 & 14.0214 & -6.62137 \tabularnewline
3 & 12.2 & 13.1429 & -0.942916 \tabularnewline
4 & 12.8 & 12.9641 & -0.164103 \tabularnewline
5 & 7.4 & 14.5008 & -7.10081 \tabularnewline
6 & 6.7 & 12.7094 & -6.0094 \tabularnewline
7 & 12.6 & 15.023 & -2.42305 \tabularnewline
8 & 14.8 & 14.495 & 0.305026 \tabularnewline
9 & 13.3 & 14.4441 & -1.14412 \tabularnewline
10 & 11.1 & 15.2163 & -4.11629 \tabularnewline
11 & 8.2 & 13.6465 & -5.44647 \tabularnewline
12 & 11.4 & 13.9309 & -2.53091 \tabularnewline
13 & 6.4 & 14.5428 & -8.14283 \tabularnewline
14 & 10.6 & 12.4554 & -1.8554 \tabularnewline
15 & 12 & 15.5369 & -3.53686 \tabularnewline
16 & 6.3 & 10.9882 & -4.6882 \tabularnewline
17 & 11.3 & 12.0789 & -0.778945 \tabularnewline
18 & 11.9 & 14.7711 & -2.8711 \tabularnewline
19 & 9.3 & 12.7534 & -3.4534 \tabularnewline
20 & 9.6 & 13.2725 & -3.67254 \tabularnewline
21 & 10 & 13.147 & -3.14697 \tabularnewline
22 & 6.4 & 12.5202 & -6.12015 \tabularnewline
23 & 13.8 & 12.7756 & 1.02441 \tabularnewline
24 & 10.8 & 14.5533 & -3.7533 \tabularnewline
25 & 13.8 & 15.254 & -1.45396 \tabularnewline
26 & 11.7 & 14.0057 & -2.30568 \tabularnewline
27 & 10.9 & 16.2668 & -5.36681 \tabularnewline
28 & 16.1 & 15.3017 & 0.798337 \tabularnewline
29 & 13.4 & 12.5959 & 0.804101 \tabularnewline
30 & 9.9 & 14.2927 & -4.39274 \tabularnewline
31 & 11.5 & 13.4187 & -1.91875 \tabularnewline
32 & 8.3 & 12.8068 & -4.50679 \tabularnewline
33 & 11.7 & 13.3879 & -1.68791 \tabularnewline
34 & 6.1 & 14.3038 & -8.20377 \tabularnewline
35 & 9 & 12.8108 & -3.81082 \tabularnewline
36 & 9.7 & 14.1217 & -4.42166 \tabularnewline
37 & 10.8 & 12.8166 & -2.01665 \tabularnewline
38 & 10.3 & 12.2179 & -1.91788 \tabularnewline
39 & 10.4 & 13.2871 & -2.88709 \tabularnewline
40 & 12.7 & 12.1869 & 0.51309 \tabularnewline
41 & 9.3 & 14.0627 & -4.76266 \tabularnewline
42 & 11.8 & 14.0668 & -2.26676 \tabularnewline
43 & 5.9 & 12.3705 & -6.47052 \tabularnewline
44 & 11.4 & 13.2745 & -1.87452 \tabularnewline
45 & 13 & 14.1898 & -1.1898 \tabularnewline
46 & 10.8 & 13.9245 & -3.12452 \tabularnewline
47 & 12.3 & 11.7538 & 0.546189 \tabularnewline
48 & 11.3 & 14.203 & -2.90298 \tabularnewline
49 & 11.8 & 13.4484 & -1.64842 \tabularnewline
50 & 7.9 & 12.6351 & -4.73505 \tabularnewline
51 & 12.7 & 13.1189 & -0.418944 \tabularnewline
52 & 12.3 & 11.158 & 1.14202 \tabularnewline
53 & 11.6 & 12.7237 & -1.1237 \tabularnewline
54 & 6.7 & 11.0836 & -4.38357 \tabularnewline
55 & 10.9 & 12.8354 & -1.93542 \tabularnewline
56 & 12.1 & 12.849 & -0.748984 \tabularnewline
57 & 13.3 & 13.25 & 0.0500345 \tabularnewline
58 & 10.1 & 12.6152 & -2.51516 \tabularnewline
59 & 5.7 & 12.4701 & -6.7701 \tabularnewline
60 & 14.3 & 13.2243 & 1.07567 \tabularnewline
61 & 8 & 10.2963 & -2.29634 \tabularnewline
62 & 13.3 & 12.7912 & 0.5088 \tabularnewline
63 & 9.3 & 15.071 & -5.77097 \tabularnewline
64 & 12.5 & 12.4904 & 0.00958602 \tabularnewline
65 & 7.6 & 12.593 & -4.99298 \tabularnewline
66 & 15.9 & 15.2167 & 0.683251 \tabularnewline
67 & 9.2 & 13.7268 & -4.52681 \tabularnewline
68 & 9.1 & 11.4488 & -2.34884 \tabularnewline
69 & 11.1 & 15.0423 & -3.94228 \tabularnewline
70 & 13 & 17.0143 & -4.01429 \tabularnewline
71 & 14.5 & 13.4034 & 1.09658 \tabularnewline
72 & 12.2 & 12.4637 & -0.26366 \tabularnewline
73 & 12.3 & 14.5587 & -2.25868 \tabularnewline
74 & 11.4 & 12.493 & -1.09302 \tabularnewline
75 & 8.8 & 12.3984 & -3.59841 \tabularnewline
76 & 14.6 & 13.5426 & 1.05739 \tabularnewline
77 & 7.3 & 14.0482 & -6.7482 \tabularnewline
78 & 12.6 & 13.6511 & -1.05106 \tabularnewline
79 & 13 & 14.4145 & -1.41445 \tabularnewline
80 & 12.6 & 12.16 & 0.440026 \tabularnewline
81 & 13.2 & 14.438 & -1.23796 \tabularnewline
82 & 9.9 & 11.716 & -1.81601 \tabularnewline
83 & 7.7 & 13.2823 & -5.58228 \tabularnewline
84 & 10.5 & 12.3511 & -1.85106 \tabularnewline
85 & 13.4 & 12.3353 & 1.06467 \tabularnewline
86 & 10.9 & 12.8097 & -1.90971 \tabularnewline
87 & 4.3 & 11.863 & -7.56296 \tabularnewline
88 & 10.3 & 13.2124 & -2.9124 \tabularnewline
89 & 11.8 & 13.8326 & -2.03259 \tabularnewline
90 & 11.2 & 12.0061 & -0.806089 \tabularnewline
91 & 11.4 & 11.3752 & 0.0247501 \tabularnewline
92 & 8.6 & 11.9518 & -3.35185 \tabularnewline
93 & 13.2 & 12.8086 & 0.391363 \tabularnewline
94 & 12.6 & 11.812 & 0.788029 \tabularnewline
95 & 5.6 & 12.1558 & -6.55582 \tabularnewline
96 & 9.9 & 13.9713 & -4.07133 \tabularnewline
97 & 8.8 & 11.7569 & -2.95695 \tabularnewline
98 & 7.7 & 11.7151 & -4.01513 \tabularnewline
99 & 9 & 12.0203 & -3.02031 \tabularnewline
100 & 7.3 & 12.6661 & -5.36614 \tabularnewline
101 & 11.4 & 11.485 & -0.0849832 \tabularnewline
102 & 13.6 & 11.6079 & 1.99213 \tabularnewline
103 & 7.9 & 12.6745 & -4.7745 \tabularnewline
104 & 10.7 & 11.9425 & -1.24253 \tabularnewline
105 & 10.3 & 12.3229 & -2.02285 \tabularnewline
106 & 8.3 & 11.8105 & -3.51049 \tabularnewline
107 & 9.6 & 13.1136 & -3.51356 \tabularnewline
108 & 14.2 & 12.5611 & 1.63894 \tabularnewline
109 & 8.5 & 12.4442 & -3.94421 \tabularnewline
110 & 13.5 & 12.0751 & 1.42491 \tabularnewline
111 & 4.9 & 12.1441 & -7.24408 \tabularnewline
112 & 6.4 & 11.0739 & -4.67387 \tabularnewline
113 & 9.6 & 12.7628 & -3.16279 \tabularnewline
114 & 11.6 & 12.2774 & -0.677374 \tabularnewline
115 & 11.1 & 11.5362 & -0.436159 \tabularnewline
116 & 4.35 & 10.5838 & -6.23384 \tabularnewline
117 & 12.7 & 12.1186 & 0.581431 \tabularnewline
118 & 18.1 & 13.2119 & 4.88813 \tabularnewline
119 & 17.85 & 13.2672 & 4.58275 \tabularnewline
120 & 16.6 & 15.9007 & 0.699251 \tabularnewline
121 & 12.6 & 10.7614 & 1.83862 \tabularnewline
122 & 17.1 & 15.3029 & 1.79709 \tabularnewline
123 & 19.1 & 15.0142 & 4.08579 \tabularnewline
124 & 16.1 & 18.291 & -2.19104 \tabularnewline
125 & 13.35 & 10.7029 & 2.64712 \tabularnewline
126 & 18.4 & 13.9901 & 4.40986 \tabularnewline
127 & 14.7 & 10.6669 & 4.03306 \tabularnewline
128 & 10.6 & 12.5095 & -1.90949 \tabularnewline
129 & 12.6 & 12.1681 & 0.43191 \tabularnewline
130 & 16.2 & 13.0237 & 3.17626 \tabularnewline
131 & 13.6 & 13.6387 & -0.0387306 \tabularnewline
132 & 18.9 & 14.3848 & 4.5152 \tabularnewline
133 & 14.1 & 11.78 & 2.31999 \tabularnewline
134 & 14.5 & 11.8501 & 2.6499 \tabularnewline
135 & 16.15 & 15.4088 & 0.74118 \tabularnewline
136 & 14.75 & 12.6195 & 2.13048 \tabularnewline
137 & 14.8 & 13.1841 & 1.61587 \tabularnewline
138 & 12.45 & 11.6513 & 0.798682 \tabularnewline
139 & 12.65 & 12.519 & 0.130967 \tabularnewline
140 & 17.35 & 12.4456 & 4.90445 \tabularnewline
141 & 8.6 & 10.9186 & -2.31855 \tabularnewline
142 & 18.4 & 14.6756 & 3.72438 \tabularnewline
143 & 16.1 & 14.371 & 1.72902 \tabularnewline
144 & 11.6 & 11.3953 & 0.204662 \tabularnewline
145 & 17.75 & 12.3309 & 5.4191 \tabularnewline
146 & 15.25 & 14.4177 & 0.832284 \tabularnewline
147 & 17.65 & 13.1264 & 4.52357 \tabularnewline
148 & 15.6 & 12.337 & 3.26303 \tabularnewline
149 & 16.35 & 13.8475 & 2.50255 \tabularnewline
150 & 17.65 & 14.5011 & 3.14895 \tabularnewline
151 & 13.6 & 12.7495 & 0.850461 \tabularnewline
152 & 11.7 & 12.2763 & -0.576293 \tabularnewline
153 & 14.35 & 12.9439 & 1.40606 \tabularnewline
154 & 14.75 & 13.2823 & 1.46767 \tabularnewline
155 & 18.25 & 13.3976 & 4.85238 \tabularnewline
156 & 9.9 & 13.4211 & -3.52113 \tabularnewline
157 & 16 & 14.3152 & 1.68475 \tabularnewline
158 & 18.25 & 13.3971 & 4.85293 \tabularnewline
159 & 16.85 & 13.7826 & 3.06742 \tabularnewline
160 & 14.6 & 11.4536 & 3.14636 \tabularnewline
161 & 13.85 & 13.1571 & 0.692905 \tabularnewline
162 & 18.95 & 15.4526 & 3.49743 \tabularnewline
163 & 15.6 & 12.817 & 2.78296 \tabularnewline
164 & 14.85 & 14.3609 & 0.489073 \tabularnewline
165 & 11.75 & 12.0659 & -0.315875 \tabularnewline
166 & 18.45 & 14.3505 & 4.09952 \tabularnewline
167 & 15.9 & 12.4878 & 3.41225 \tabularnewline
168 & 17.1 & 14.6419 & 2.45813 \tabularnewline
169 & 16.1 & 10.3827 & 5.71727 \tabularnewline
170 & 19.9 & 15.147 & 4.753 \tabularnewline
171 & 10.95 & 10.8519 & 0.0981477 \tabularnewline
172 & 18.45 & 14.1443 & 4.30565 \tabularnewline
173 & 15.1 & 11.147 & 3.953 \tabularnewline
174 & 15 & 12.6918 & 2.30823 \tabularnewline
175 & 11.35 & 13.1341 & -1.78413 \tabularnewline
176 & 15.95 & 12.9993 & 2.95068 \tabularnewline
177 & 18.1 & 13.3611 & 4.73888 \tabularnewline
178 & 14.6 & 13.8361 & 0.763933 \tabularnewline
179 & 15.4 & 13.0362 & 2.36378 \tabularnewline
180 & 15.4 & 13.0362 & 2.36378 \tabularnewline
181 & 17.6 & 13.4536 & 4.14643 \tabularnewline
182 & 13.35 & 13.5348 & -0.184792 \tabularnewline
183 & 19.1 & 13.5896 & 5.51035 \tabularnewline
184 & 15.35 & 13.7899 & 1.56011 \tabularnewline
185 & 7.6 & 10.9829 & -3.38286 \tabularnewline
186 & 13.4 & 14.3015 & -0.901476 \tabularnewline
187 & 13.9 & 12.8818 & 1.01822 \tabularnewline
188 & 19.1 & 14.3881 & 4.71193 \tabularnewline
189 & 15.25 & 13.3531 & 1.8969 \tabularnewline
190 & 12.9 & 12.8101 & 0.0898726 \tabularnewline
191 & 16.1 & 13.4664 & 2.63361 \tabularnewline
192 & 17.35 & 11.9152 & 5.43482 \tabularnewline
193 & 13.15 & 12.6845 & 0.465548 \tabularnewline
194 & 12.15 & 11.1478 & 1.00215 \tabularnewline
195 & 12.6 & 11.9482 & 0.651781 \tabularnewline
196 & 10.35 & 11.4459 & -1.09592 \tabularnewline
197 & 15.4 & 13.4578 & 1.94218 \tabularnewline
198 & 9.6 & 11.4353 & -1.83533 \tabularnewline
199 & 18.2 & 12.7424 & 5.45759 \tabularnewline
200 & 13.6 & 11.9579 & 1.64207 \tabularnewline
201 & 14.85 & 12.3848 & 2.4652 \tabularnewline
202 & 14.75 & 14.1412 & 0.608756 \tabularnewline
203 & 14.1 & 12.6008 & 1.49915 \tabularnewline
204 & 14.9 & 11.5651 & 3.33494 \tabularnewline
205 & 16.25 & 12.9656 & 3.28443 \tabularnewline
206 & 19.25 & 15.0579 & 4.19211 \tabularnewline
207 & 13.6 & 11.5488 & 2.05119 \tabularnewline
208 & 13.6 & 13.017 & 0.583043 \tabularnewline
209 & 15.65 & 12.8044 & 2.84558 \tabularnewline
210 & 12.75 & 11.8448 & 0.905241 \tabularnewline
211 & 14.6 & 11.3468 & 3.25316 \tabularnewline
212 & 9.85 & 11.8173 & -1.96725 \tabularnewline
213 & 12.65 & 11.1769 & 1.47308 \tabularnewline
214 & 11.9 & 11.5666 & 0.333419 \tabularnewline
215 & 19.2 & 14.7888 & 4.4112 \tabularnewline
216 & 16.6 & 13.4407 & 3.1593 \tabularnewline
217 & 11.2 & 11.6286 & -0.428585 \tabularnewline
218 & 15.25 & 12.771 & 2.47897 \tabularnewline
219 & 11.9 & 13.7161 & -1.81613 \tabularnewline
220 & 13.2 & 11.6689 & 1.53106 \tabularnewline
221 & 16.35 & 14.7383 & 1.61167 \tabularnewline
222 & 12.4 & 12.4015 & -0.00149657 \tabularnewline
223 & 15.85 & 12.7635 & 3.08652 \tabularnewline
224 & 14.35 & 12.5473 & 1.80272 \tabularnewline
225 & 18.15 & 13.4094 & 4.7406 \tabularnewline
226 & 11.15 & 11.9499 & -0.799852 \tabularnewline
227 & 15.65 & 13.3329 & 2.31714 \tabularnewline
228 & 17.75 & 13.0084 & 4.74155 \tabularnewline
229 & 7.65 & 11.4434 & -3.79339 \tabularnewline
230 & 12.35 & 11.5277 & 0.822298 \tabularnewline
231 & 15.6 & 11.7491 & 3.85091 \tabularnewline
232 & 19.3 & 14.0866 & 5.21339 \tabularnewline
233 & 15.2 & 11.2524 & 3.94755 \tabularnewline
234 & 17.1 & 12.1498 & 4.95021 \tabularnewline
235 & 15.6 & 12.0237 & 3.57634 \tabularnewline
236 & 18.4 & 14.7857 & 3.61432 \tabularnewline
237 & 19.05 & 13.4039 & 5.6461 \tabularnewline
238 & 18.55 & 12.8137 & 5.7363 \tabularnewline
239 & 19.1 & 15.269 & 3.83097 \tabularnewline
240 & 13.1 & 11.8501 & 1.24991 \tabularnewline
241 & 12.85 & 12.928 & -0.0779825 \tabularnewline
242 & 9.5 & 11.6765 & -2.17647 \tabularnewline
243 & 4.5 & 10.9416 & -6.44163 \tabularnewline
244 & 11.85 & 10.6576 & 1.19241 \tabularnewline
245 & 13.6 & 13.558 & 0.0419801 \tabularnewline
246 & 11.7 & 12.3529 & -0.652926 \tabularnewline
247 & 12.4 & 11.8697 & 0.530313 \tabularnewline
248 & 13.35 & 13.235 & 0.114993 \tabularnewline
249 & 11.4 & 12.1222 & -0.722238 \tabularnewline
250 & 14.9 & 12.2711 & 2.62892 \tabularnewline
251 & 19.9 & 15.147 & 4.753 \tabularnewline
252 & 17.75 & 12.2823 & 5.46767 \tabularnewline
253 & 11.2 & 11.4954 & -0.295374 \tabularnewline
254 & 14.6 & 13.334 & 1.266 \tabularnewline
255 & 17.6 & 15.005 & 2.59495 \tabularnewline
256 & 14.05 & 12.203 & 1.84696 \tabularnewline
257 & 16.1 & 13.9165 & 2.18352 \tabularnewline
258 & 13.35 & 12.2935 & 1.05649 \tabularnewline
259 & 11.85 & 12.0516 & -0.2016 \tabularnewline
260 & 11.95 & 13.0122 & -1.06218 \tabularnewline
261 & 14.75 & 13.0296 & 1.72039 \tabularnewline
262 & 15.15 & 13.3445 & 1.80553 \tabularnewline
263 & 13.2 & 13.3709 & -0.170892 \tabularnewline
264 & 16.85 & 13.6652 & 3.18485 \tabularnewline
265 & 7.85 & 11.3724 & -3.52237 \tabularnewline
266 & 7.7 & 11.8756 & -4.17558 \tabularnewline
267 & 12.6 & 13.3657 & -0.765671 \tabularnewline
268 & 7.85 & 12.6712 & -4.82123 \tabularnewline
269 & 10.95 & 10.8519 & 0.0981477 \tabularnewline
270 & 12.35 & 12.2534 & 0.0966442 \tabularnewline
271 & 9.95 & 12.2112 & -2.26125 \tabularnewline
272 & 14.9 & 12.2711 & 2.62892 \tabularnewline
273 & 16.65 & 12.707 & 3.94299 \tabularnewline
274 & 13.4 & 12.0137 & 1.3863 \tabularnewline
275 & 13.95 & 11.5754 & 2.3746 \tabularnewline
276 & 15.7 & 12.384 & 3.31597 \tabularnewline
277 & 16.85 & 12.7657 & 4.08428 \tabularnewline
278 & 10.95 & 11.5761 & -0.62613 \tabularnewline
279 & 15.35 & 11.8622 & 3.48782 \tabularnewline
280 & 12.2 & 11.4219 & 0.77813 \tabularnewline
281 & 15.1 & 13.1763 & 1.9237 \tabularnewline
282 & 17.75 & 13.7563 & 3.99368 \tabularnewline
283 & 15.2 & 13.1979 & 2.00206 \tabularnewline
284 & 14.6 & 12.4268 & 2.17321 \tabularnewline
285 & 16.65 & 13.308 & 3.34203 \tabularnewline
286 & 8.1 & 10.5065 & -2.40648 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268952&T=4

[TABLE]
[ROW][C]Multiple Linear Regression - Actuals, Interpolation, and Residuals[/C][/ROW]
[ROW][C]Time or Index[/C][C]Actuals[/C][C]InterpolationForecast[/C][C]ResidualsPrediction Error[/C][/ROW]
[ROW][C]1[/C][C]12.9[/C][C]14.597[/C][C]-1.69697[/C][/ROW]
[ROW][C]2[/C][C]7.4[/C][C]14.0214[/C][C]-6.62137[/C][/ROW]
[ROW][C]3[/C][C]12.2[/C][C]13.1429[/C][C]-0.942916[/C][/ROW]
[ROW][C]4[/C][C]12.8[/C][C]12.9641[/C][C]-0.164103[/C][/ROW]
[ROW][C]5[/C][C]7.4[/C][C]14.5008[/C][C]-7.10081[/C][/ROW]
[ROW][C]6[/C][C]6.7[/C][C]12.7094[/C][C]-6.0094[/C][/ROW]
[ROW][C]7[/C][C]12.6[/C][C]15.023[/C][C]-2.42305[/C][/ROW]
[ROW][C]8[/C][C]14.8[/C][C]14.495[/C][C]0.305026[/C][/ROW]
[ROW][C]9[/C][C]13.3[/C][C]14.4441[/C][C]-1.14412[/C][/ROW]
[ROW][C]10[/C][C]11.1[/C][C]15.2163[/C][C]-4.11629[/C][/ROW]
[ROW][C]11[/C][C]8.2[/C][C]13.6465[/C][C]-5.44647[/C][/ROW]
[ROW][C]12[/C][C]11.4[/C][C]13.9309[/C][C]-2.53091[/C][/ROW]
[ROW][C]13[/C][C]6.4[/C][C]14.5428[/C][C]-8.14283[/C][/ROW]
[ROW][C]14[/C][C]10.6[/C][C]12.4554[/C][C]-1.8554[/C][/ROW]
[ROW][C]15[/C][C]12[/C][C]15.5369[/C][C]-3.53686[/C][/ROW]
[ROW][C]16[/C][C]6.3[/C][C]10.9882[/C][C]-4.6882[/C][/ROW]
[ROW][C]17[/C][C]11.3[/C][C]12.0789[/C][C]-0.778945[/C][/ROW]
[ROW][C]18[/C][C]11.9[/C][C]14.7711[/C][C]-2.8711[/C][/ROW]
[ROW][C]19[/C][C]9.3[/C][C]12.7534[/C][C]-3.4534[/C][/ROW]
[ROW][C]20[/C][C]9.6[/C][C]13.2725[/C][C]-3.67254[/C][/ROW]
[ROW][C]21[/C][C]10[/C][C]13.147[/C][C]-3.14697[/C][/ROW]
[ROW][C]22[/C][C]6.4[/C][C]12.5202[/C][C]-6.12015[/C][/ROW]
[ROW][C]23[/C][C]13.8[/C][C]12.7756[/C][C]1.02441[/C][/ROW]
[ROW][C]24[/C][C]10.8[/C][C]14.5533[/C][C]-3.7533[/C][/ROW]
[ROW][C]25[/C][C]13.8[/C][C]15.254[/C][C]-1.45396[/C][/ROW]
[ROW][C]26[/C][C]11.7[/C][C]14.0057[/C][C]-2.30568[/C][/ROW]
[ROW][C]27[/C][C]10.9[/C][C]16.2668[/C][C]-5.36681[/C][/ROW]
[ROW][C]28[/C][C]16.1[/C][C]15.3017[/C][C]0.798337[/C][/ROW]
[ROW][C]29[/C][C]13.4[/C][C]12.5959[/C][C]0.804101[/C][/ROW]
[ROW][C]30[/C][C]9.9[/C][C]14.2927[/C][C]-4.39274[/C][/ROW]
[ROW][C]31[/C][C]11.5[/C][C]13.4187[/C][C]-1.91875[/C][/ROW]
[ROW][C]32[/C][C]8.3[/C][C]12.8068[/C][C]-4.50679[/C][/ROW]
[ROW][C]33[/C][C]11.7[/C][C]13.3879[/C][C]-1.68791[/C][/ROW]
[ROW][C]34[/C][C]6.1[/C][C]14.3038[/C][C]-8.20377[/C][/ROW]
[ROW][C]35[/C][C]9[/C][C]12.8108[/C][C]-3.81082[/C][/ROW]
[ROW][C]36[/C][C]9.7[/C][C]14.1217[/C][C]-4.42166[/C][/ROW]
[ROW][C]37[/C][C]10.8[/C][C]12.8166[/C][C]-2.01665[/C][/ROW]
[ROW][C]38[/C][C]10.3[/C][C]12.2179[/C][C]-1.91788[/C][/ROW]
[ROW][C]39[/C][C]10.4[/C][C]13.2871[/C][C]-2.88709[/C][/ROW]
[ROW][C]40[/C][C]12.7[/C][C]12.1869[/C][C]0.51309[/C][/ROW]
[ROW][C]41[/C][C]9.3[/C][C]14.0627[/C][C]-4.76266[/C][/ROW]
[ROW][C]42[/C][C]11.8[/C][C]14.0668[/C][C]-2.26676[/C][/ROW]
[ROW][C]43[/C][C]5.9[/C][C]12.3705[/C][C]-6.47052[/C][/ROW]
[ROW][C]44[/C][C]11.4[/C][C]13.2745[/C][C]-1.87452[/C][/ROW]
[ROW][C]45[/C][C]13[/C][C]14.1898[/C][C]-1.1898[/C][/ROW]
[ROW][C]46[/C][C]10.8[/C][C]13.9245[/C][C]-3.12452[/C][/ROW]
[ROW][C]47[/C][C]12.3[/C][C]11.7538[/C][C]0.546189[/C][/ROW]
[ROW][C]48[/C][C]11.3[/C][C]14.203[/C][C]-2.90298[/C][/ROW]
[ROW][C]49[/C][C]11.8[/C][C]13.4484[/C][C]-1.64842[/C][/ROW]
[ROW][C]50[/C][C]7.9[/C][C]12.6351[/C][C]-4.73505[/C][/ROW]
[ROW][C]51[/C][C]12.7[/C][C]13.1189[/C][C]-0.418944[/C][/ROW]
[ROW][C]52[/C][C]12.3[/C][C]11.158[/C][C]1.14202[/C][/ROW]
[ROW][C]53[/C][C]11.6[/C][C]12.7237[/C][C]-1.1237[/C][/ROW]
[ROW][C]54[/C][C]6.7[/C][C]11.0836[/C][C]-4.38357[/C][/ROW]
[ROW][C]55[/C][C]10.9[/C][C]12.8354[/C][C]-1.93542[/C][/ROW]
[ROW][C]56[/C][C]12.1[/C][C]12.849[/C][C]-0.748984[/C][/ROW]
[ROW][C]57[/C][C]13.3[/C][C]13.25[/C][C]0.0500345[/C][/ROW]
[ROW][C]58[/C][C]10.1[/C][C]12.6152[/C][C]-2.51516[/C][/ROW]
[ROW][C]59[/C][C]5.7[/C][C]12.4701[/C][C]-6.7701[/C][/ROW]
[ROW][C]60[/C][C]14.3[/C][C]13.2243[/C][C]1.07567[/C][/ROW]
[ROW][C]61[/C][C]8[/C][C]10.2963[/C][C]-2.29634[/C][/ROW]
[ROW][C]62[/C][C]13.3[/C][C]12.7912[/C][C]0.5088[/C][/ROW]
[ROW][C]63[/C][C]9.3[/C][C]15.071[/C][C]-5.77097[/C][/ROW]
[ROW][C]64[/C][C]12.5[/C][C]12.4904[/C][C]0.00958602[/C][/ROW]
[ROW][C]65[/C][C]7.6[/C][C]12.593[/C][C]-4.99298[/C][/ROW]
[ROW][C]66[/C][C]15.9[/C][C]15.2167[/C][C]0.683251[/C][/ROW]
[ROW][C]67[/C][C]9.2[/C][C]13.7268[/C][C]-4.52681[/C][/ROW]
[ROW][C]68[/C][C]9.1[/C][C]11.4488[/C][C]-2.34884[/C][/ROW]
[ROW][C]69[/C][C]11.1[/C][C]15.0423[/C][C]-3.94228[/C][/ROW]
[ROW][C]70[/C][C]13[/C][C]17.0143[/C][C]-4.01429[/C][/ROW]
[ROW][C]71[/C][C]14.5[/C][C]13.4034[/C][C]1.09658[/C][/ROW]
[ROW][C]72[/C][C]12.2[/C][C]12.4637[/C][C]-0.26366[/C][/ROW]
[ROW][C]73[/C][C]12.3[/C][C]14.5587[/C][C]-2.25868[/C][/ROW]
[ROW][C]74[/C][C]11.4[/C][C]12.493[/C][C]-1.09302[/C][/ROW]
[ROW][C]75[/C][C]8.8[/C][C]12.3984[/C][C]-3.59841[/C][/ROW]
[ROW][C]76[/C][C]14.6[/C][C]13.5426[/C][C]1.05739[/C][/ROW]
[ROW][C]77[/C][C]7.3[/C][C]14.0482[/C][C]-6.7482[/C][/ROW]
[ROW][C]78[/C][C]12.6[/C][C]13.6511[/C][C]-1.05106[/C][/ROW]
[ROW][C]79[/C][C]13[/C][C]14.4145[/C][C]-1.41445[/C][/ROW]
[ROW][C]80[/C][C]12.6[/C][C]12.16[/C][C]0.440026[/C][/ROW]
[ROW][C]81[/C][C]13.2[/C][C]14.438[/C][C]-1.23796[/C][/ROW]
[ROW][C]82[/C][C]9.9[/C][C]11.716[/C][C]-1.81601[/C][/ROW]
[ROW][C]83[/C][C]7.7[/C][C]13.2823[/C][C]-5.58228[/C][/ROW]
[ROW][C]84[/C][C]10.5[/C][C]12.3511[/C][C]-1.85106[/C][/ROW]
[ROW][C]85[/C][C]13.4[/C][C]12.3353[/C][C]1.06467[/C][/ROW]
[ROW][C]86[/C][C]10.9[/C][C]12.8097[/C][C]-1.90971[/C][/ROW]
[ROW][C]87[/C][C]4.3[/C][C]11.863[/C][C]-7.56296[/C][/ROW]
[ROW][C]88[/C][C]10.3[/C][C]13.2124[/C][C]-2.9124[/C][/ROW]
[ROW][C]89[/C][C]11.8[/C][C]13.8326[/C][C]-2.03259[/C][/ROW]
[ROW][C]90[/C][C]11.2[/C][C]12.0061[/C][C]-0.806089[/C][/ROW]
[ROW][C]91[/C][C]11.4[/C][C]11.3752[/C][C]0.0247501[/C][/ROW]
[ROW][C]92[/C][C]8.6[/C][C]11.9518[/C][C]-3.35185[/C][/ROW]
[ROW][C]93[/C][C]13.2[/C][C]12.8086[/C][C]0.391363[/C][/ROW]
[ROW][C]94[/C][C]12.6[/C][C]11.812[/C][C]0.788029[/C][/ROW]
[ROW][C]95[/C][C]5.6[/C][C]12.1558[/C][C]-6.55582[/C][/ROW]
[ROW][C]96[/C][C]9.9[/C][C]13.9713[/C][C]-4.07133[/C][/ROW]
[ROW][C]97[/C][C]8.8[/C][C]11.7569[/C][C]-2.95695[/C][/ROW]
[ROW][C]98[/C][C]7.7[/C][C]11.7151[/C][C]-4.01513[/C][/ROW]
[ROW][C]99[/C][C]9[/C][C]12.0203[/C][C]-3.02031[/C][/ROW]
[ROW][C]100[/C][C]7.3[/C][C]12.6661[/C][C]-5.36614[/C][/ROW]
[ROW][C]101[/C][C]11.4[/C][C]11.485[/C][C]-0.0849832[/C][/ROW]
[ROW][C]102[/C][C]13.6[/C][C]11.6079[/C][C]1.99213[/C][/ROW]
[ROW][C]103[/C][C]7.9[/C][C]12.6745[/C][C]-4.7745[/C][/ROW]
[ROW][C]104[/C][C]10.7[/C][C]11.9425[/C][C]-1.24253[/C][/ROW]
[ROW][C]105[/C][C]10.3[/C][C]12.3229[/C][C]-2.02285[/C][/ROW]
[ROW][C]106[/C][C]8.3[/C][C]11.8105[/C][C]-3.51049[/C][/ROW]
[ROW][C]107[/C][C]9.6[/C][C]13.1136[/C][C]-3.51356[/C][/ROW]
[ROW][C]108[/C][C]14.2[/C][C]12.5611[/C][C]1.63894[/C][/ROW]
[ROW][C]109[/C][C]8.5[/C][C]12.4442[/C][C]-3.94421[/C][/ROW]
[ROW][C]110[/C][C]13.5[/C][C]12.0751[/C][C]1.42491[/C][/ROW]
[ROW][C]111[/C][C]4.9[/C][C]12.1441[/C][C]-7.24408[/C][/ROW]
[ROW][C]112[/C][C]6.4[/C][C]11.0739[/C][C]-4.67387[/C][/ROW]
[ROW][C]113[/C][C]9.6[/C][C]12.7628[/C][C]-3.16279[/C][/ROW]
[ROW][C]114[/C][C]11.6[/C][C]12.2774[/C][C]-0.677374[/C][/ROW]
[ROW][C]115[/C][C]11.1[/C][C]11.5362[/C][C]-0.436159[/C][/ROW]
[ROW][C]116[/C][C]4.35[/C][C]10.5838[/C][C]-6.23384[/C][/ROW]
[ROW][C]117[/C][C]12.7[/C][C]12.1186[/C][C]0.581431[/C][/ROW]
[ROW][C]118[/C][C]18.1[/C][C]13.2119[/C][C]4.88813[/C][/ROW]
[ROW][C]119[/C][C]17.85[/C][C]13.2672[/C][C]4.58275[/C][/ROW]
[ROW][C]120[/C][C]16.6[/C][C]15.9007[/C][C]0.699251[/C][/ROW]
[ROW][C]121[/C][C]12.6[/C][C]10.7614[/C][C]1.83862[/C][/ROW]
[ROW][C]122[/C][C]17.1[/C][C]15.3029[/C][C]1.79709[/C][/ROW]
[ROW][C]123[/C][C]19.1[/C][C]15.0142[/C][C]4.08579[/C][/ROW]
[ROW][C]124[/C][C]16.1[/C][C]18.291[/C][C]-2.19104[/C][/ROW]
[ROW][C]125[/C][C]13.35[/C][C]10.7029[/C][C]2.64712[/C][/ROW]
[ROW][C]126[/C][C]18.4[/C][C]13.9901[/C][C]4.40986[/C][/ROW]
[ROW][C]127[/C][C]14.7[/C][C]10.6669[/C][C]4.03306[/C][/ROW]
[ROW][C]128[/C][C]10.6[/C][C]12.5095[/C][C]-1.90949[/C][/ROW]
[ROW][C]129[/C][C]12.6[/C][C]12.1681[/C][C]0.43191[/C][/ROW]
[ROW][C]130[/C][C]16.2[/C][C]13.0237[/C][C]3.17626[/C][/ROW]
[ROW][C]131[/C][C]13.6[/C][C]13.6387[/C][C]-0.0387306[/C][/ROW]
[ROW][C]132[/C][C]18.9[/C][C]14.3848[/C][C]4.5152[/C][/ROW]
[ROW][C]133[/C][C]14.1[/C][C]11.78[/C][C]2.31999[/C][/ROW]
[ROW][C]134[/C][C]14.5[/C][C]11.8501[/C][C]2.6499[/C][/ROW]
[ROW][C]135[/C][C]16.15[/C][C]15.4088[/C][C]0.74118[/C][/ROW]
[ROW][C]136[/C][C]14.75[/C][C]12.6195[/C][C]2.13048[/C][/ROW]
[ROW][C]137[/C][C]14.8[/C][C]13.1841[/C][C]1.61587[/C][/ROW]
[ROW][C]138[/C][C]12.45[/C][C]11.6513[/C][C]0.798682[/C][/ROW]
[ROW][C]139[/C][C]12.65[/C][C]12.519[/C][C]0.130967[/C][/ROW]
[ROW][C]140[/C][C]17.35[/C][C]12.4456[/C][C]4.90445[/C][/ROW]
[ROW][C]141[/C][C]8.6[/C][C]10.9186[/C][C]-2.31855[/C][/ROW]
[ROW][C]142[/C][C]18.4[/C][C]14.6756[/C][C]3.72438[/C][/ROW]
[ROW][C]143[/C][C]16.1[/C][C]14.371[/C][C]1.72902[/C][/ROW]
[ROW][C]144[/C][C]11.6[/C][C]11.3953[/C][C]0.204662[/C][/ROW]
[ROW][C]145[/C][C]17.75[/C][C]12.3309[/C][C]5.4191[/C][/ROW]
[ROW][C]146[/C][C]15.25[/C][C]14.4177[/C][C]0.832284[/C][/ROW]
[ROW][C]147[/C][C]17.65[/C][C]13.1264[/C][C]4.52357[/C][/ROW]
[ROW][C]148[/C][C]15.6[/C][C]12.337[/C][C]3.26303[/C][/ROW]
[ROW][C]149[/C][C]16.35[/C][C]13.8475[/C][C]2.50255[/C][/ROW]
[ROW][C]150[/C][C]17.65[/C][C]14.5011[/C][C]3.14895[/C][/ROW]
[ROW][C]151[/C][C]13.6[/C][C]12.7495[/C][C]0.850461[/C][/ROW]
[ROW][C]152[/C][C]11.7[/C][C]12.2763[/C][C]-0.576293[/C][/ROW]
[ROW][C]153[/C][C]14.35[/C][C]12.9439[/C][C]1.40606[/C][/ROW]
[ROW][C]154[/C][C]14.75[/C][C]13.2823[/C][C]1.46767[/C][/ROW]
[ROW][C]155[/C][C]18.25[/C][C]13.3976[/C][C]4.85238[/C][/ROW]
[ROW][C]156[/C][C]9.9[/C][C]13.4211[/C][C]-3.52113[/C][/ROW]
[ROW][C]157[/C][C]16[/C][C]14.3152[/C][C]1.68475[/C][/ROW]
[ROW][C]158[/C][C]18.25[/C][C]13.3971[/C][C]4.85293[/C][/ROW]
[ROW][C]159[/C][C]16.85[/C][C]13.7826[/C][C]3.06742[/C][/ROW]
[ROW][C]160[/C][C]14.6[/C][C]11.4536[/C][C]3.14636[/C][/ROW]
[ROW][C]161[/C][C]13.85[/C][C]13.1571[/C][C]0.692905[/C][/ROW]
[ROW][C]162[/C][C]18.95[/C][C]15.4526[/C][C]3.49743[/C][/ROW]
[ROW][C]163[/C][C]15.6[/C][C]12.817[/C][C]2.78296[/C][/ROW]
[ROW][C]164[/C][C]14.85[/C][C]14.3609[/C][C]0.489073[/C][/ROW]
[ROW][C]165[/C][C]11.75[/C][C]12.0659[/C][C]-0.315875[/C][/ROW]
[ROW][C]166[/C][C]18.45[/C][C]14.3505[/C][C]4.09952[/C][/ROW]
[ROW][C]167[/C][C]15.9[/C][C]12.4878[/C][C]3.41225[/C][/ROW]
[ROW][C]168[/C][C]17.1[/C][C]14.6419[/C][C]2.45813[/C][/ROW]
[ROW][C]169[/C][C]16.1[/C][C]10.3827[/C][C]5.71727[/C][/ROW]
[ROW][C]170[/C][C]19.9[/C][C]15.147[/C][C]4.753[/C][/ROW]
[ROW][C]171[/C][C]10.95[/C][C]10.8519[/C][C]0.0981477[/C][/ROW]
[ROW][C]172[/C][C]18.45[/C][C]14.1443[/C][C]4.30565[/C][/ROW]
[ROW][C]173[/C][C]15.1[/C][C]11.147[/C][C]3.953[/C][/ROW]
[ROW][C]174[/C][C]15[/C][C]12.6918[/C][C]2.30823[/C][/ROW]
[ROW][C]175[/C][C]11.35[/C][C]13.1341[/C][C]-1.78413[/C][/ROW]
[ROW][C]176[/C][C]15.95[/C][C]12.9993[/C][C]2.95068[/C][/ROW]
[ROW][C]177[/C][C]18.1[/C][C]13.3611[/C][C]4.73888[/C][/ROW]
[ROW][C]178[/C][C]14.6[/C][C]13.8361[/C][C]0.763933[/C][/ROW]
[ROW][C]179[/C][C]15.4[/C][C]13.0362[/C][C]2.36378[/C][/ROW]
[ROW][C]180[/C][C]15.4[/C][C]13.0362[/C][C]2.36378[/C][/ROW]
[ROW][C]181[/C][C]17.6[/C][C]13.4536[/C][C]4.14643[/C][/ROW]
[ROW][C]182[/C][C]13.35[/C][C]13.5348[/C][C]-0.184792[/C][/ROW]
[ROW][C]183[/C][C]19.1[/C][C]13.5896[/C][C]5.51035[/C][/ROW]
[ROW][C]184[/C][C]15.35[/C][C]13.7899[/C][C]1.56011[/C][/ROW]
[ROW][C]185[/C][C]7.6[/C][C]10.9829[/C][C]-3.38286[/C][/ROW]
[ROW][C]186[/C][C]13.4[/C][C]14.3015[/C][C]-0.901476[/C][/ROW]
[ROW][C]187[/C][C]13.9[/C][C]12.8818[/C][C]1.01822[/C][/ROW]
[ROW][C]188[/C][C]19.1[/C][C]14.3881[/C][C]4.71193[/C][/ROW]
[ROW][C]189[/C][C]15.25[/C][C]13.3531[/C][C]1.8969[/C][/ROW]
[ROW][C]190[/C][C]12.9[/C][C]12.8101[/C][C]0.0898726[/C][/ROW]
[ROW][C]191[/C][C]16.1[/C][C]13.4664[/C][C]2.63361[/C][/ROW]
[ROW][C]192[/C][C]17.35[/C][C]11.9152[/C][C]5.43482[/C][/ROW]
[ROW][C]193[/C][C]13.15[/C][C]12.6845[/C][C]0.465548[/C][/ROW]
[ROW][C]194[/C][C]12.15[/C][C]11.1478[/C][C]1.00215[/C][/ROW]
[ROW][C]195[/C][C]12.6[/C][C]11.9482[/C][C]0.651781[/C][/ROW]
[ROW][C]196[/C][C]10.35[/C][C]11.4459[/C][C]-1.09592[/C][/ROW]
[ROW][C]197[/C][C]15.4[/C][C]13.4578[/C][C]1.94218[/C][/ROW]
[ROW][C]198[/C][C]9.6[/C][C]11.4353[/C][C]-1.83533[/C][/ROW]
[ROW][C]199[/C][C]18.2[/C][C]12.7424[/C][C]5.45759[/C][/ROW]
[ROW][C]200[/C][C]13.6[/C][C]11.9579[/C][C]1.64207[/C][/ROW]
[ROW][C]201[/C][C]14.85[/C][C]12.3848[/C][C]2.4652[/C][/ROW]
[ROW][C]202[/C][C]14.75[/C][C]14.1412[/C][C]0.608756[/C][/ROW]
[ROW][C]203[/C][C]14.1[/C][C]12.6008[/C][C]1.49915[/C][/ROW]
[ROW][C]204[/C][C]14.9[/C][C]11.5651[/C][C]3.33494[/C][/ROW]
[ROW][C]205[/C][C]16.25[/C][C]12.9656[/C][C]3.28443[/C][/ROW]
[ROW][C]206[/C][C]19.25[/C][C]15.0579[/C][C]4.19211[/C][/ROW]
[ROW][C]207[/C][C]13.6[/C][C]11.5488[/C][C]2.05119[/C][/ROW]
[ROW][C]208[/C][C]13.6[/C][C]13.017[/C][C]0.583043[/C][/ROW]
[ROW][C]209[/C][C]15.65[/C][C]12.8044[/C][C]2.84558[/C][/ROW]
[ROW][C]210[/C][C]12.75[/C][C]11.8448[/C][C]0.905241[/C][/ROW]
[ROW][C]211[/C][C]14.6[/C][C]11.3468[/C][C]3.25316[/C][/ROW]
[ROW][C]212[/C][C]9.85[/C][C]11.8173[/C][C]-1.96725[/C][/ROW]
[ROW][C]213[/C][C]12.65[/C][C]11.1769[/C][C]1.47308[/C][/ROW]
[ROW][C]214[/C][C]11.9[/C][C]11.5666[/C][C]0.333419[/C][/ROW]
[ROW][C]215[/C][C]19.2[/C][C]14.7888[/C][C]4.4112[/C][/ROW]
[ROW][C]216[/C][C]16.6[/C][C]13.4407[/C][C]3.1593[/C][/ROW]
[ROW][C]217[/C][C]11.2[/C][C]11.6286[/C][C]-0.428585[/C][/ROW]
[ROW][C]218[/C][C]15.25[/C][C]12.771[/C][C]2.47897[/C][/ROW]
[ROW][C]219[/C][C]11.9[/C][C]13.7161[/C][C]-1.81613[/C][/ROW]
[ROW][C]220[/C][C]13.2[/C][C]11.6689[/C][C]1.53106[/C][/ROW]
[ROW][C]221[/C][C]16.35[/C][C]14.7383[/C][C]1.61167[/C][/ROW]
[ROW][C]222[/C][C]12.4[/C][C]12.4015[/C][C]-0.00149657[/C][/ROW]
[ROW][C]223[/C][C]15.85[/C][C]12.7635[/C][C]3.08652[/C][/ROW]
[ROW][C]224[/C][C]14.35[/C][C]12.5473[/C][C]1.80272[/C][/ROW]
[ROW][C]225[/C][C]18.15[/C][C]13.4094[/C][C]4.7406[/C][/ROW]
[ROW][C]226[/C][C]11.15[/C][C]11.9499[/C][C]-0.799852[/C][/ROW]
[ROW][C]227[/C][C]15.65[/C][C]13.3329[/C][C]2.31714[/C][/ROW]
[ROW][C]228[/C][C]17.75[/C][C]13.0084[/C][C]4.74155[/C][/ROW]
[ROW][C]229[/C][C]7.65[/C][C]11.4434[/C][C]-3.79339[/C][/ROW]
[ROW][C]230[/C][C]12.35[/C][C]11.5277[/C][C]0.822298[/C][/ROW]
[ROW][C]231[/C][C]15.6[/C][C]11.7491[/C][C]3.85091[/C][/ROW]
[ROW][C]232[/C][C]19.3[/C][C]14.0866[/C][C]5.21339[/C][/ROW]
[ROW][C]233[/C][C]15.2[/C][C]11.2524[/C][C]3.94755[/C][/ROW]
[ROW][C]234[/C][C]17.1[/C][C]12.1498[/C][C]4.95021[/C][/ROW]
[ROW][C]235[/C][C]15.6[/C][C]12.0237[/C][C]3.57634[/C][/ROW]
[ROW][C]236[/C][C]18.4[/C][C]14.7857[/C][C]3.61432[/C][/ROW]
[ROW][C]237[/C][C]19.05[/C][C]13.4039[/C][C]5.6461[/C][/ROW]
[ROW][C]238[/C][C]18.55[/C][C]12.8137[/C][C]5.7363[/C][/ROW]
[ROW][C]239[/C][C]19.1[/C][C]15.269[/C][C]3.83097[/C][/ROW]
[ROW][C]240[/C][C]13.1[/C][C]11.8501[/C][C]1.24991[/C][/ROW]
[ROW][C]241[/C][C]12.85[/C][C]12.928[/C][C]-0.0779825[/C][/ROW]
[ROW][C]242[/C][C]9.5[/C][C]11.6765[/C][C]-2.17647[/C][/ROW]
[ROW][C]243[/C][C]4.5[/C][C]10.9416[/C][C]-6.44163[/C][/ROW]
[ROW][C]244[/C][C]11.85[/C][C]10.6576[/C][C]1.19241[/C][/ROW]
[ROW][C]245[/C][C]13.6[/C][C]13.558[/C][C]0.0419801[/C][/ROW]
[ROW][C]246[/C][C]11.7[/C][C]12.3529[/C][C]-0.652926[/C][/ROW]
[ROW][C]247[/C][C]12.4[/C][C]11.8697[/C][C]0.530313[/C][/ROW]
[ROW][C]248[/C][C]13.35[/C][C]13.235[/C][C]0.114993[/C][/ROW]
[ROW][C]249[/C][C]11.4[/C][C]12.1222[/C][C]-0.722238[/C][/ROW]
[ROW][C]250[/C][C]14.9[/C][C]12.2711[/C][C]2.62892[/C][/ROW]
[ROW][C]251[/C][C]19.9[/C][C]15.147[/C][C]4.753[/C][/ROW]
[ROW][C]252[/C][C]17.75[/C][C]12.2823[/C][C]5.46767[/C][/ROW]
[ROW][C]253[/C][C]11.2[/C][C]11.4954[/C][C]-0.295374[/C][/ROW]
[ROW][C]254[/C][C]14.6[/C][C]13.334[/C][C]1.266[/C][/ROW]
[ROW][C]255[/C][C]17.6[/C][C]15.005[/C][C]2.59495[/C][/ROW]
[ROW][C]256[/C][C]14.05[/C][C]12.203[/C][C]1.84696[/C][/ROW]
[ROW][C]257[/C][C]16.1[/C][C]13.9165[/C][C]2.18352[/C][/ROW]
[ROW][C]258[/C][C]13.35[/C][C]12.2935[/C][C]1.05649[/C][/ROW]
[ROW][C]259[/C][C]11.85[/C][C]12.0516[/C][C]-0.2016[/C][/ROW]
[ROW][C]260[/C][C]11.95[/C][C]13.0122[/C][C]-1.06218[/C][/ROW]
[ROW][C]261[/C][C]14.75[/C][C]13.0296[/C][C]1.72039[/C][/ROW]
[ROW][C]262[/C][C]15.15[/C][C]13.3445[/C][C]1.80553[/C][/ROW]
[ROW][C]263[/C][C]13.2[/C][C]13.3709[/C][C]-0.170892[/C][/ROW]
[ROW][C]264[/C][C]16.85[/C][C]13.6652[/C][C]3.18485[/C][/ROW]
[ROW][C]265[/C][C]7.85[/C][C]11.3724[/C][C]-3.52237[/C][/ROW]
[ROW][C]266[/C][C]7.7[/C][C]11.8756[/C][C]-4.17558[/C][/ROW]
[ROW][C]267[/C][C]12.6[/C][C]13.3657[/C][C]-0.765671[/C][/ROW]
[ROW][C]268[/C][C]7.85[/C][C]12.6712[/C][C]-4.82123[/C][/ROW]
[ROW][C]269[/C][C]10.95[/C][C]10.8519[/C][C]0.0981477[/C][/ROW]
[ROW][C]270[/C][C]12.35[/C][C]12.2534[/C][C]0.0966442[/C][/ROW]
[ROW][C]271[/C][C]9.95[/C][C]12.2112[/C][C]-2.26125[/C][/ROW]
[ROW][C]272[/C][C]14.9[/C][C]12.2711[/C][C]2.62892[/C][/ROW]
[ROW][C]273[/C][C]16.65[/C][C]12.707[/C][C]3.94299[/C][/ROW]
[ROW][C]274[/C][C]13.4[/C][C]12.0137[/C][C]1.3863[/C][/ROW]
[ROW][C]275[/C][C]13.95[/C][C]11.5754[/C][C]2.3746[/C][/ROW]
[ROW][C]276[/C][C]15.7[/C][C]12.384[/C][C]3.31597[/C][/ROW]
[ROW][C]277[/C][C]16.85[/C][C]12.7657[/C][C]4.08428[/C][/ROW]
[ROW][C]278[/C][C]10.95[/C][C]11.5761[/C][C]-0.62613[/C][/ROW]
[ROW][C]279[/C][C]15.35[/C][C]11.8622[/C][C]3.48782[/C][/ROW]
[ROW][C]280[/C][C]12.2[/C][C]11.4219[/C][C]0.77813[/C][/ROW]
[ROW][C]281[/C][C]15.1[/C][C]13.1763[/C][C]1.9237[/C][/ROW]
[ROW][C]282[/C][C]17.75[/C][C]13.7563[/C][C]3.99368[/C][/ROW]
[ROW][C]283[/C][C]15.2[/C][C]13.1979[/C][C]2.00206[/C][/ROW]
[ROW][C]284[/C][C]14.6[/C][C]12.4268[/C][C]2.17321[/C][/ROW]
[ROW][C]285[/C][C]16.65[/C][C]13.308[/C][C]3.34203[/C][/ROW]
[ROW][C]286[/C][C]8.1[/C][C]10.5065[/C][C]-2.40648[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268952&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268952&T=4

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


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

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
112.914.597-1.69697
27.414.0214-6.62137
312.213.1429-0.942916
412.812.9641-0.164103
57.414.5008-7.10081
66.712.7094-6.0094
712.615.023-2.42305
814.814.4950.305026
913.314.4441-1.14412
1011.115.2163-4.11629
118.213.6465-5.44647
1211.413.9309-2.53091
136.414.5428-8.14283
1410.612.4554-1.8554
151215.5369-3.53686
166.310.9882-4.6882
1711.312.0789-0.778945
1811.914.7711-2.8711
199.312.7534-3.4534
209.613.2725-3.67254
211013.147-3.14697
226.412.5202-6.12015
2313.812.77561.02441
2410.814.5533-3.7533
2513.815.254-1.45396
2611.714.0057-2.30568
2710.916.2668-5.36681
2816.115.30170.798337
2913.412.59590.804101
309.914.2927-4.39274
3111.513.4187-1.91875
328.312.8068-4.50679
3311.713.3879-1.68791
346.114.3038-8.20377
35912.8108-3.81082
369.714.1217-4.42166
3710.812.8166-2.01665
3810.312.2179-1.91788
3910.413.2871-2.88709
4012.712.18690.51309
419.314.0627-4.76266
4211.814.0668-2.26676
435.912.3705-6.47052
4411.413.2745-1.87452
451314.1898-1.1898
4610.813.9245-3.12452
4712.311.75380.546189
4811.314.203-2.90298
4911.813.4484-1.64842
507.912.6351-4.73505
5112.713.1189-0.418944
5212.311.1581.14202
5311.612.7237-1.1237
546.711.0836-4.38357
5510.912.8354-1.93542
5612.112.849-0.748984
5713.313.250.0500345
5810.112.6152-2.51516
595.712.4701-6.7701
6014.313.22431.07567
61810.2963-2.29634
6213.312.79120.5088
639.315.071-5.77097
6412.512.49040.00958602
657.612.593-4.99298
6615.915.21670.683251
679.213.7268-4.52681
689.111.4488-2.34884
6911.115.0423-3.94228
701317.0143-4.01429
7114.513.40341.09658
7212.212.4637-0.26366
7312.314.5587-2.25868
7411.412.493-1.09302
758.812.3984-3.59841
7614.613.54261.05739
777.314.0482-6.7482
7812.613.6511-1.05106
791314.4145-1.41445
8012.612.160.440026
8113.214.438-1.23796
829.911.716-1.81601
837.713.2823-5.58228
8410.512.3511-1.85106
8513.412.33531.06467
8610.912.8097-1.90971
874.311.863-7.56296
8810.313.2124-2.9124
8911.813.8326-2.03259
9011.212.0061-0.806089
9111.411.37520.0247501
928.611.9518-3.35185
9313.212.80860.391363
9412.611.8120.788029
955.612.1558-6.55582
969.913.9713-4.07133
978.811.7569-2.95695
987.711.7151-4.01513
99912.0203-3.02031
1007.312.6661-5.36614
10111.411.485-0.0849832
10213.611.60791.99213
1037.912.6745-4.7745
10410.711.9425-1.24253
10510.312.3229-2.02285
1068.311.8105-3.51049
1079.613.1136-3.51356
10814.212.56111.63894
1098.512.4442-3.94421
11013.512.07511.42491
1114.912.1441-7.24408
1126.411.0739-4.67387
1139.612.7628-3.16279
11411.612.2774-0.677374
11511.111.5362-0.436159
1164.3510.5838-6.23384
11712.712.11860.581431
11818.113.21194.88813
11917.8513.26724.58275
12016.615.90070.699251
12112.610.76141.83862
12217.115.30291.79709
12319.115.01424.08579
12416.118.291-2.19104
12513.3510.70292.64712
12618.413.99014.40986
12714.710.66694.03306
12810.612.5095-1.90949
12912.612.16810.43191
13016.213.02373.17626
13113.613.6387-0.0387306
13218.914.38484.5152
13314.111.782.31999
13414.511.85012.6499
13516.1515.40880.74118
13614.7512.61952.13048
13714.813.18411.61587
13812.4511.65130.798682
13912.6512.5190.130967
14017.3512.44564.90445
1418.610.9186-2.31855
14218.414.67563.72438
14316.114.3711.72902
14411.611.39530.204662
14517.7512.33095.4191
14615.2514.41770.832284
14717.6513.12644.52357
14815.612.3373.26303
14916.3513.84752.50255
15017.6514.50113.14895
15113.612.74950.850461
15211.712.2763-0.576293
15314.3512.94391.40606
15414.7513.28231.46767
15518.2513.39764.85238
1569.913.4211-3.52113
1571614.31521.68475
15818.2513.39714.85293
15916.8513.78263.06742
16014.611.45363.14636
16113.8513.15710.692905
16218.9515.45263.49743
16315.612.8172.78296
16414.8514.36090.489073
16511.7512.0659-0.315875
16618.4514.35054.09952
16715.912.48783.41225
16817.114.64192.45813
16916.110.38275.71727
17019.915.1474.753
17110.9510.85190.0981477
17218.4514.14434.30565
17315.111.1473.953
1741512.69182.30823
17511.3513.1341-1.78413
17615.9512.99932.95068
17718.113.36114.73888
17814.613.83610.763933
17915.413.03622.36378
18015.413.03622.36378
18117.613.45364.14643
18213.3513.5348-0.184792
18319.113.58965.51035
18415.3513.78991.56011
1857.610.9829-3.38286
18613.414.3015-0.901476
18713.912.88181.01822
18819.114.38814.71193
18915.2513.35311.8969
19012.912.81010.0898726
19116.113.46642.63361
19217.3511.91525.43482
19313.1512.68450.465548
19412.1511.14781.00215
19512.611.94820.651781
19610.3511.4459-1.09592
19715.413.45781.94218
1989.611.4353-1.83533
19918.212.74245.45759
20013.611.95791.64207
20114.8512.38482.4652
20214.7514.14120.608756
20314.112.60081.49915
20414.911.56513.33494
20516.2512.96563.28443
20619.2515.05794.19211
20713.611.54882.05119
20813.613.0170.583043
20915.6512.80442.84558
21012.7511.84480.905241
21114.611.34683.25316
2129.8511.8173-1.96725
21312.6511.17691.47308
21411.911.56660.333419
21519.214.78884.4112
21616.613.44073.1593
21711.211.6286-0.428585
21815.2512.7712.47897
21911.913.7161-1.81613
22013.211.66891.53106
22116.3514.73831.61167
22212.412.4015-0.00149657
22315.8512.76353.08652
22414.3512.54731.80272
22518.1513.40944.7406
22611.1511.9499-0.799852
22715.6513.33292.31714
22817.7513.00844.74155
2297.6511.4434-3.79339
23012.3511.52770.822298
23115.611.74913.85091
23219.314.08665.21339
23315.211.25243.94755
23417.112.14984.95021
23515.612.02373.57634
23618.414.78573.61432
23719.0513.40395.6461
23818.5512.81375.7363
23919.115.2693.83097
24013.111.85011.24991
24112.8512.928-0.0779825
2429.511.6765-2.17647
2434.510.9416-6.44163
24411.8510.65761.19241
24513.613.5580.0419801
24611.712.3529-0.652926
24712.411.86970.530313
24813.3513.2350.114993
24911.412.1222-0.722238
25014.912.27112.62892
25119.915.1474.753
25217.7512.28235.46767
25311.211.4954-0.295374
25414.613.3341.266
25517.615.0052.59495
25614.0512.2031.84696
25716.113.91652.18352
25813.3512.29351.05649
25911.8512.0516-0.2016
26011.9513.0122-1.06218
26114.7513.02961.72039
26215.1513.34451.80553
26313.213.3709-0.170892
26416.8513.66523.18485
2657.8511.3724-3.52237
2667.711.8756-4.17558
26712.613.3657-0.765671
2687.8512.6712-4.82123
26910.9510.85190.0981477
27012.3512.25340.0966442
2719.9512.2112-2.26125
27214.912.27112.62892
27316.6512.7073.94299
27413.412.01371.3863
27513.9511.57542.3746
27615.712.3843.31597
27716.8512.76574.08428
27810.9511.5761-0.62613
27915.3511.86223.48782
28012.211.42190.77813
28115.113.17631.9237
28217.7513.75633.99368
28315.213.19792.00206
28414.612.42682.17321
28516.6513.3083.34203
2868.110.5065-2.40648






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
70.7806280.4387450.219372
80.8095440.3809130.190456
90.7125970.5748060.287403
100.6514970.6970060.348503
110.5977470.8045060.402253
120.5008510.9982980.499149
130.6192430.7615140.380757
140.5289310.9421370.471069
150.4424730.8849460.557527
160.4072230.8144460.592777
170.3720640.7441290.627936
180.3018880.6037770.698112
190.2407560.4815120.759244
200.1898450.3796890.810155
210.1450510.2901030.854949
220.1485250.2970510.851475
230.123780.2475590.87622
240.09728190.1945640.902718
250.08736510.174730.912635
260.0656170.1312340.934383
270.05323680.1064740.946763
280.03947380.07894760.960526
290.05413160.1082630.945868
300.04174830.08349660.958252
310.0366130.0732260.963387
320.03127360.06254710.968726
330.02619770.05239540.973802
340.04116510.08233010.958835
350.03226260.06452510.967737
360.04236050.08472090.95764
370.0317780.06355590.968222
380.02338750.0467750.976613
390.01906040.03812080.98094
400.01868380.03736750.981316
410.02089910.04179820.979101
420.01652570.03305140.983474
430.02594050.0518810.97406
440.01994070.03988140.980059
450.01792330.03584650.982077
460.01502820.03005640.984972
470.01585760.03171520.984142
480.01277780.02555570.987222
490.01017310.02034620.989827
500.01385430.02770850.986146
510.01549040.03098080.98451
520.01578180.03156360.984218
530.01288880.02577760.987111
540.01360320.02720650.986397
550.01151240.02302470.988488
560.01112390.02224770.988876
570.01041910.02083820.989581
580.008152610.01630520.991847
590.01626480.03252960.983735
600.02172370.04344730.978276
610.0170610.03412190.982939
620.01833260.03666520.981667
630.0222610.04452190.977739
640.0203710.04074190.979629
650.02213580.04427150.977864
660.03194870.06389740.968051
670.03481350.06962690.965187
680.02850380.05700760.971496
690.03004060.06008120.969959
700.03422590.06845180.965774
710.03567660.07135310.964323
720.03222170.06444350.967778
730.02981650.0596330.970184
740.02590320.05180640.974097
750.02290440.04580880.977096
760.02390210.04780410.976098
770.05688370.1137670.943116
780.05396720.1079340.946033
790.05226870.1045370.947731
800.04920890.09841770.950791
810.05001120.1000220.949989
820.04183040.08366090.95817
830.05857980.117160.94142
840.05061160.1012230.949388
850.0568650.113730.943135
860.04928340.09856690.950717
870.1150480.2300960.884952
880.1128440.2256870.887156
890.1043920.2087840.895608
900.09023050.1804610.90977
910.07766370.1553270.922336
920.07679320.1535860.923207
930.08194620.1638920.918054
940.08551550.1710310.914485
950.150470.3009390.84953
960.1714340.3428680.828566
970.1665920.3331830.833408
980.182620.365240.81738
990.1875650.375130.812435
1000.260960.5219210.73904
1010.2489470.4978940.751053
1020.2885740.5771480.711426
1030.3622290.7244590.637771
1040.3394470.6788950.660553
1050.3293150.6586310.670685
1060.3418030.6836060.658197
1070.3790590.7581180.620941
1080.4121930.8243850.587807
1090.456690.913380.54331
1100.4704920.9409850.529508
1110.6923440.6153120.307656
1120.7360740.5278510.263926
1130.7545790.4908410.245421
1140.7528240.4943530.247176
1150.7435290.5129420.256471
1160.8582130.2835740.141787
1170.8588130.2823740.141187
1180.9354230.1291540.0645772
1190.9691430.06171490.0308575
1200.9725370.05492630.0274632
1210.974320.05135950.0256797
1220.9797290.04054280.0202714
1230.986940.0261190.0130595
1240.9899210.02015890.0100795
1250.9922120.01557530.00778763
1260.9964350.007130640.00356532
1270.9984320.003136040.00156802
1280.9984480.003103580.00155179
1290.9983030.003394280.00169714
1300.9988150.002369740.00118487
1310.9985030.002993270.00149663
1320.9989960.002007210.00100361
1330.9990110.001977310.000988653
1340.9991340.001732120.00086606
1350.9990980.001804560.000902278
1360.9990610.001877280.00093864
1370.9989470.002106890.00105345
1380.9987430.002514720.00125736
1390.998430.003139170.00156958
1400.9993340.001332320.00066616
1410.9992080.001584650.000792327
1420.9994840.001031990.000515997
1430.9994320.001136150.000568077
1440.999280.001439580.000719789
1450.9996650.0006707190.000335359
1460.999640.00071940.0003597
1470.99980.0004004590.00020023
1480.9998220.0003559780.000177989
1490.999820.0003597240.000179862
1500.9998490.0003023440.000151172
1510.9998110.0003785620.000189281
1520.9997990.0004021510.000201076
1530.9997560.000487340.00024367
1540.9997310.0005387160.000269358
1550.9998160.0003683780.000184189
1560.9999529.68923e-054.84461e-05
1570.9999430.000114315.7155e-05
1580.9999627.63055e-053.81528e-05
1590.9999627.50249e-053.75125e-05
1600.9999696.1736e-053.0868e-05
1610.9999617.84264e-053.92132e-05
1620.9999637.47015e-053.73508e-05
1630.9999598.23337e-054.11668e-05
1640.9999519.8892e-054.9446e-05
1650.9999320.000135386.76901e-05
1660.9999450.0001109465.54731e-05
1670.9999529.60529e-054.80264e-05
1680.9999470.0001055.25e-05
1690.9999968.14404e-064.07202e-06
1700.9999967.36173e-063.68086e-06
1710.9999941.10787e-055.53934e-06
1720.9999959.40284e-064.70142e-06
1730.9999976.61611e-063.30805e-06
1740.9999968.57487e-064.28743e-06
1750.9999968.94315e-064.47157e-06
1760.9999951.01606e-055.08028e-06
1770.9999967.01268e-063.50634e-06
1780.9999968.45892e-064.22946e-06
1790.9999951.02696e-055.13478e-06
1800.9999941.25573e-056.27866e-06
1810.9999951.0742e-055.37102e-06
1820.9999941.27625e-056.38124e-06
1830.9999968.66597e-064.33298e-06
1840.9999941.12559e-055.62796e-06
1850.9999951.0134e-055.06698e-06
1860.9999941.11616e-055.58078e-06
1870.9999921.5711e-057.85549e-06
1880.9999921.5226e-057.61298e-06
1890.9999892.15563e-051.07781e-05
1900.9999882.3775e-051.18875e-05
1910.9999843.14698e-051.57349e-05
1920.9999931.39664e-056.9832e-06
1930.999991.96274e-059.81368e-06
1940.9999852.92806e-051.46403e-05
1950.9999784.34879e-052.17439e-05
1960.9999696.2106e-053.1053e-05
1970.9999568.7107e-054.35535e-05
1980.9999470.0001064365.32182e-05
1990.9999725.67015e-052.83508e-05
2000.9999617.79236e-053.89618e-05
2010.9999549.19013e-054.59506e-05
2020.999959.93167e-054.96584e-05
2030.9999280.0001431887.15938e-05
2040.9999370.0001254066.27031e-05
2050.9999270.0001467227.33608e-05
2060.9999180.0001636248.18122e-05
2070.9999060.0001881989.40991e-05
2080.9998870.0002262760.000113138
2090.9998530.0002932580.000146629
2100.9997920.0004157570.000207879
2110.9998470.0003066330.000153317
2120.9997930.0004148920.000207446
2130.999760.0004804310.000240216
2140.9996540.0006929980.000346499
2150.9996170.0007659780.000382989
2160.999550.000900640.00045032
2170.9993540.001292230.000646115
2180.9991350.001729320.000864662
2190.999290.001419870.000709936
2200.9990780.001843360.000921682
2210.9989560.002087070.00104354
2220.9985950.002809440.00140472
2230.9983920.003215920.00160796
2240.9979180.004163450.00208173
2250.9975570.004886170.00244309
2260.9965690.00686220.0034311
2270.995390.009220880.00461044
2280.9951440.009712140.00485607
2290.9955270.00894640.0044732
2300.9938110.0123790.00618949
2310.9932730.01345490.00672744
2320.9926540.01469240.00734619
2330.9959590.008081110.00404055
2340.9968450.006309940.00315497
2350.997210.005579950.00278998
2360.9963360.007328640.00366432
2370.9970620.005876070.00293803
2380.9978730.004253570.00212679
2390.9970890.005822870.00291143
2400.9960110.007978380.00398919
2410.9954450.009109890.00455495
2420.9949220.01015630.00507816
2430.9987270.002546680.00127334
2440.9984710.003057570.00152878
2450.9983380.003323270.00166163
2460.9975140.004972540.00248627
2470.9961930.007613160.00380658
2480.9949050.01019080.00509538
2490.9926050.01478980.00739488
2500.9907240.01855270.00927636
2510.9880510.02389870.0119493
2520.9935820.01283630.00641813
2530.9902510.01949870.00974933
2540.9856290.02874280.0143714
2550.9807410.03851840.0192592
2560.9737710.05245720.0262286
2570.9633560.07328770.0366438
2580.9483080.1033850.0516923
2590.9319060.1361890.0680943
2600.9250180.1499630.0749817
2610.8981320.2037370.101868
2620.8643420.2713160.135658
2630.8928520.2142960.107148
2640.8639580.2720830.136042
2650.8704280.2591430.129572
2660.9612780.07744370.0387219
2670.9495680.1008630.0504315
2680.9995070.0009853640.000492682
2690.9997560.0004885060.000244253
2700.9998150.0003706420.000185321
2710.9999715.89795e-052.94897e-05
2720.9998950.0002096630.000104832
2730.9998710.0002586710.000129335
2740.9997130.0005739650.000286983
2750.999840.0003206180.000160309
2760.9993810.00123710.000618548
2770.9986760.002647330.00132366
2780.9935760.01284890.00642446
2790.9938480.01230310.00615156

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
7 & 0.780628 & 0.438745 & 0.219372 \tabularnewline
8 & 0.809544 & 0.380913 & 0.190456 \tabularnewline
9 & 0.712597 & 0.574806 & 0.287403 \tabularnewline
10 & 0.651497 & 0.697006 & 0.348503 \tabularnewline
11 & 0.597747 & 0.804506 & 0.402253 \tabularnewline
12 & 0.500851 & 0.998298 & 0.499149 \tabularnewline
13 & 0.619243 & 0.761514 & 0.380757 \tabularnewline
14 & 0.528931 & 0.942137 & 0.471069 \tabularnewline
15 & 0.442473 & 0.884946 & 0.557527 \tabularnewline
16 & 0.407223 & 0.814446 & 0.592777 \tabularnewline
17 & 0.372064 & 0.744129 & 0.627936 \tabularnewline
18 & 0.301888 & 0.603777 & 0.698112 \tabularnewline
19 & 0.240756 & 0.481512 & 0.759244 \tabularnewline
20 & 0.189845 & 0.379689 & 0.810155 \tabularnewline
21 & 0.145051 & 0.290103 & 0.854949 \tabularnewline
22 & 0.148525 & 0.297051 & 0.851475 \tabularnewline
23 & 0.12378 & 0.247559 & 0.87622 \tabularnewline
24 & 0.0972819 & 0.194564 & 0.902718 \tabularnewline
25 & 0.0873651 & 0.17473 & 0.912635 \tabularnewline
26 & 0.065617 & 0.131234 & 0.934383 \tabularnewline
27 & 0.0532368 & 0.106474 & 0.946763 \tabularnewline
28 & 0.0394738 & 0.0789476 & 0.960526 \tabularnewline
29 & 0.0541316 & 0.108263 & 0.945868 \tabularnewline
30 & 0.0417483 & 0.0834966 & 0.958252 \tabularnewline
31 & 0.036613 & 0.073226 & 0.963387 \tabularnewline
32 & 0.0312736 & 0.0625471 & 0.968726 \tabularnewline
33 & 0.0261977 & 0.0523954 & 0.973802 \tabularnewline
34 & 0.0411651 & 0.0823301 & 0.958835 \tabularnewline
35 & 0.0322626 & 0.0645251 & 0.967737 \tabularnewline
36 & 0.0423605 & 0.0847209 & 0.95764 \tabularnewline
37 & 0.031778 & 0.0635559 & 0.968222 \tabularnewline
38 & 0.0233875 & 0.046775 & 0.976613 \tabularnewline
39 & 0.0190604 & 0.0381208 & 0.98094 \tabularnewline
40 & 0.0186838 & 0.0373675 & 0.981316 \tabularnewline
41 & 0.0208991 & 0.0417982 & 0.979101 \tabularnewline
42 & 0.0165257 & 0.0330514 & 0.983474 \tabularnewline
43 & 0.0259405 & 0.051881 & 0.97406 \tabularnewline
44 & 0.0199407 & 0.0398814 & 0.980059 \tabularnewline
45 & 0.0179233 & 0.0358465 & 0.982077 \tabularnewline
46 & 0.0150282 & 0.0300564 & 0.984972 \tabularnewline
47 & 0.0158576 & 0.0317152 & 0.984142 \tabularnewline
48 & 0.0127778 & 0.0255557 & 0.987222 \tabularnewline
49 & 0.0101731 & 0.0203462 & 0.989827 \tabularnewline
50 & 0.0138543 & 0.0277085 & 0.986146 \tabularnewline
51 & 0.0154904 & 0.0309808 & 0.98451 \tabularnewline
52 & 0.0157818 & 0.0315636 & 0.984218 \tabularnewline
53 & 0.0128888 & 0.0257776 & 0.987111 \tabularnewline
54 & 0.0136032 & 0.0272065 & 0.986397 \tabularnewline
55 & 0.0115124 & 0.0230247 & 0.988488 \tabularnewline
56 & 0.0111239 & 0.0222477 & 0.988876 \tabularnewline
57 & 0.0104191 & 0.0208382 & 0.989581 \tabularnewline
58 & 0.00815261 & 0.0163052 & 0.991847 \tabularnewline
59 & 0.0162648 & 0.0325296 & 0.983735 \tabularnewline
60 & 0.0217237 & 0.0434473 & 0.978276 \tabularnewline
61 & 0.017061 & 0.0341219 & 0.982939 \tabularnewline
62 & 0.0183326 & 0.0366652 & 0.981667 \tabularnewline
63 & 0.022261 & 0.0445219 & 0.977739 \tabularnewline
64 & 0.020371 & 0.0407419 & 0.979629 \tabularnewline
65 & 0.0221358 & 0.0442715 & 0.977864 \tabularnewline
66 & 0.0319487 & 0.0638974 & 0.968051 \tabularnewline
67 & 0.0348135 & 0.0696269 & 0.965187 \tabularnewline
68 & 0.0285038 & 0.0570076 & 0.971496 \tabularnewline
69 & 0.0300406 & 0.0600812 & 0.969959 \tabularnewline
70 & 0.0342259 & 0.0684518 & 0.965774 \tabularnewline
71 & 0.0356766 & 0.0713531 & 0.964323 \tabularnewline
72 & 0.0322217 & 0.0644435 & 0.967778 \tabularnewline
73 & 0.0298165 & 0.059633 & 0.970184 \tabularnewline
74 & 0.0259032 & 0.0518064 & 0.974097 \tabularnewline
75 & 0.0229044 & 0.0458088 & 0.977096 \tabularnewline
76 & 0.0239021 & 0.0478041 & 0.976098 \tabularnewline
77 & 0.0568837 & 0.113767 & 0.943116 \tabularnewline
78 & 0.0539672 & 0.107934 & 0.946033 \tabularnewline
79 & 0.0522687 & 0.104537 & 0.947731 \tabularnewline
80 & 0.0492089 & 0.0984177 & 0.950791 \tabularnewline
81 & 0.0500112 & 0.100022 & 0.949989 \tabularnewline
82 & 0.0418304 & 0.0836609 & 0.95817 \tabularnewline
83 & 0.0585798 & 0.11716 & 0.94142 \tabularnewline
84 & 0.0506116 & 0.101223 & 0.949388 \tabularnewline
85 & 0.056865 & 0.11373 & 0.943135 \tabularnewline
86 & 0.0492834 & 0.0985669 & 0.950717 \tabularnewline
87 & 0.115048 & 0.230096 & 0.884952 \tabularnewline
88 & 0.112844 & 0.225687 & 0.887156 \tabularnewline
89 & 0.104392 & 0.208784 & 0.895608 \tabularnewline
90 & 0.0902305 & 0.180461 & 0.90977 \tabularnewline
91 & 0.0776637 & 0.155327 & 0.922336 \tabularnewline
92 & 0.0767932 & 0.153586 & 0.923207 \tabularnewline
93 & 0.0819462 & 0.163892 & 0.918054 \tabularnewline
94 & 0.0855155 & 0.171031 & 0.914485 \tabularnewline
95 & 0.15047 & 0.300939 & 0.84953 \tabularnewline
96 & 0.171434 & 0.342868 & 0.828566 \tabularnewline
97 & 0.166592 & 0.333183 & 0.833408 \tabularnewline
98 & 0.18262 & 0.36524 & 0.81738 \tabularnewline
99 & 0.187565 & 0.37513 & 0.812435 \tabularnewline
100 & 0.26096 & 0.521921 & 0.73904 \tabularnewline
101 & 0.248947 & 0.497894 & 0.751053 \tabularnewline
102 & 0.288574 & 0.577148 & 0.711426 \tabularnewline
103 & 0.362229 & 0.724459 & 0.637771 \tabularnewline
104 & 0.339447 & 0.678895 & 0.660553 \tabularnewline
105 & 0.329315 & 0.658631 & 0.670685 \tabularnewline
106 & 0.341803 & 0.683606 & 0.658197 \tabularnewline
107 & 0.379059 & 0.758118 & 0.620941 \tabularnewline
108 & 0.412193 & 0.824385 & 0.587807 \tabularnewline
109 & 0.45669 & 0.91338 & 0.54331 \tabularnewline
110 & 0.470492 & 0.940985 & 0.529508 \tabularnewline
111 & 0.692344 & 0.615312 & 0.307656 \tabularnewline
112 & 0.736074 & 0.527851 & 0.263926 \tabularnewline
113 & 0.754579 & 0.490841 & 0.245421 \tabularnewline
114 & 0.752824 & 0.494353 & 0.247176 \tabularnewline
115 & 0.743529 & 0.512942 & 0.256471 \tabularnewline
116 & 0.858213 & 0.283574 & 0.141787 \tabularnewline
117 & 0.858813 & 0.282374 & 0.141187 \tabularnewline
118 & 0.935423 & 0.129154 & 0.0645772 \tabularnewline
119 & 0.969143 & 0.0617149 & 0.0308575 \tabularnewline
120 & 0.972537 & 0.0549263 & 0.0274632 \tabularnewline
121 & 0.97432 & 0.0513595 & 0.0256797 \tabularnewline
122 & 0.979729 & 0.0405428 & 0.0202714 \tabularnewline
123 & 0.98694 & 0.026119 & 0.0130595 \tabularnewline
124 & 0.989921 & 0.0201589 & 0.0100795 \tabularnewline
125 & 0.992212 & 0.0155753 & 0.00778763 \tabularnewline
126 & 0.996435 & 0.00713064 & 0.00356532 \tabularnewline
127 & 0.998432 & 0.00313604 & 0.00156802 \tabularnewline
128 & 0.998448 & 0.00310358 & 0.00155179 \tabularnewline
129 & 0.998303 & 0.00339428 & 0.00169714 \tabularnewline
130 & 0.998815 & 0.00236974 & 0.00118487 \tabularnewline
131 & 0.998503 & 0.00299327 & 0.00149663 \tabularnewline
132 & 0.998996 & 0.00200721 & 0.00100361 \tabularnewline
133 & 0.999011 & 0.00197731 & 0.000988653 \tabularnewline
134 & 0.999134 & 0.00173212 & 0.00086606 \tabularnewline
135 & 0.999098 & 0.00180456 & 0.000902278 \tabularnewline
136 & 0.999061 & 0.00187728 & 0.00093864 \tabularnewline
137 & 0.998947 & 0.00210689 & 0.00105345 \tabularnewline
138 & 0.998743 & 0.00251472 & 0.00125736 \tabularnewline
139 & 0.99843 & 0.00313917 & 0.00156958 \tabularnewline
140 & 0.999334 & 0.00133232 & 0.00066616 \tabularnewline
141 & 0.999208 & 0.00158465 & 0.000792327 \tabularnewline
142 & 0.999484 & 0.00103199 & 0.000515997 \tabularnewline
143 & 0.999432 & 0.00113615 & 0.000568077 \tabularnewline
144 & 0.99928 & 0.00143958 & 0.000719789 \tabularnewline
145 & 0.999665 & 0.000670719 & 0.000335359 \tabularnewline
146 & 0.99964 & 0.0007194 & 0.0003597 \tabularnewline
147 & 0.9998 & 0.000400459 & 0.00020023 \tabularnewline
148 & 0.999822 & 0.000355978 & 0.000177989 \tabularnewline
149 & 0.99982 & 0.000359724 & 0.000179862 \tabularnewline
150 & 0.999849 & 0.000302344 & 0.000151172 \tabularnewline
151 & 0.999811 & 0.000378562 & 0.000189281 \tabularnewline
152 & 0.999799 & 0.000402151 & 0.000201076 \tabularnewline
153 & 0.999756 & 0.00048734 & 0.00024367 \tabularnewline
154 & 0.999731 & 0.000538716 & 0.000269358 \tabularnewline
155 & 0.999816 & 0.000368378 & 0.000184189 \tabularnewline
156 & 0.999952 & 9.68923e-05 & 4.84461e-05 \tabularnewline
157 & 0.999943 & 0.00011431 & 5.7155e-05 \tabularnewline
158 & 0.999962 & 7.63055e-05 & 3.81528e-05 \tabularnewline
159 & 0.999962 & 7.50249e-05 & 3.75125e-05 \tabularnewline
160 & 0.999969 & 6.1736e-05 & 3.0868e-05 \tabularnewline
161 & 0.999961 & 7.84264e-05 & 3.92132e-05 \tabularnewline
162 & 0.999963 & 7.47015e-05 & 3.73508e-05 \tabularnewline
163 & 0.999959 & 8.23337e-05 & 4.11668e-05 \tabularnewline
164 & 0.999951 & 9.8892e-05 & 4.9446e-05 \tabularnewline
165 & 0.999932 & 0.00013538 & 6.76901e-05 \tabularnewline
166 & 0.999945 & 0.000110946 & 5.54731e-05 \tabularnewline
167 & 0.999952 & 9.60529e-05 & 4.80264e-05 \tabularnewline
168 & 0.999947 & 0.000105 & 5.25e-05 \tabularnewline
169 & 0.999996 & 8.14404e-06 & 4.07202e-06 \tabularnewline
170 & 0.999996 & 7.36173e-06 & 3.68086e-06 \tabularnewline
171 & 0.999994 & 1.10787e-05 & 5.53934e-06 \tabularnewline
172 & 0.999995 & 9.40284e-06 & 4.70142e-06 \tabularnewline
173 & 0.999997 & 6.61611e-06 & 3.30805e-06 \tabularnewline
174 & 0.999996 & 8.57487e-06 & 4.28743e-06 \tabularnewline
175 & 0.999996 & 8.94315e-06 & 4.47157e-06 \tabularnewline
176 & 0.999995 & 1.01606e-05 & 5.08028e-06 \tabularnewline
177 & 0.999996 & 7.01268e-06 & 3.50634e-06 \tabularnewline
178 & 0.999996 & 8.45892e-06 & 4.22946e-06 \tabularnewline
179 & 0.999995 & 1.02696e-05 & 5.13478e-06 \tabularnewline
180 & 0.999994 & 1.25573e-05 & 6.27866e-06 \tabularnewline
181 & 0.999995 & 1.0742e-05 & 5.37102e-06 \tabularnewline
182 & 0.999994 & 1.27625e-05 & 6.38124e-06 \tabularnewline
183 & 0.999996 & 8.66597e-06 & 4.33298e-06 \tabularnewline
184 & 0.999994 & 1.12559e-05 & 5.62796e-06 \tabularnewline
185 & 0.999995 & 1.0134e-05 & 5.06698e-06 \tabularnewline
186 & 0.999994 & 1.11616e-05 & 5.58078e-06 \tabularnewline
187 & 0.999992 & 1.5711e-05 & 7.85549e-06 \tabularnewline
188 & 0.999992 & 1.5226e-05 & 7.61298e-06 \tabularnewline
189 & 0.999989 & 2.15563e-05 & 1.07781e-05 \tabularnewline
190 & 0.999988 & 2.3775e-05 & 1.18875e-05 \tabularnewline
191 & 0.999984 & 3.14698e-05 & 1.57349e-05 \tabularnewline
192 & 0.999993 & 1.39664e-05 & 6.9832e-06 \tabularnewline
193 & 0.99999 & 1.96274e-05 & 9.81368e-06 \tabularnewline
194 & 0.999985 & 2.92806e-05 & 1.46403e-05 \tabularnewline
195 & 0.999978 & 4.34879e-05 & 2.17439e-05 \tabularnewline
196 & 0.999969 & 6.2106e-05 & 3.1053e-05 \tabularnewline
197 & 0.999956 & 8.7107e-05 & 4.35535e-05 \tabularnewline
198 & 0.999947 & 0.000106436 & 5.32182e-05 \tabularnewline
199 & 0.999972 & 5.67015e-05 & 2.83508e-05 \tabularnewline
200 & 0.999961 & 7.79236e-05 & 3.89618e-05 \tabularnewline
201 & 0.999954 & 9.19013e-05 & 4.59506e-05 \tabularnewline
202 & 0.99995 & 9.93167e-05 & 4.96584e-05 \tabularnewline
203 & 0.999928 & 0.000143188 & 7.15938e-05 \tabularnewline
204 & 0.999937 & 0.000125406 & 6.27031e-05 \tabularnewline
205 & 0.999927 & 0.000146722 & 7.33608e-05 \tabularnewline
206 & 0.999918 & 0.000163624 & 8.18122e-05 \tabularnewline
207 & 0.999906 & 0.000188198 & 9.40991e-05 \tabularnewline
208 & 0.999887 & 0.000226276 & 0.000113138 \tabularnewline
209 & 0.999853 & 0.000293258 & 0.000146629 \tabularnewline
210 & 0.999792 & 0.000415757 & 0.000207879 \tabularnewline
211 & 0.999847 & 0.000306633 & 0.000153317 \tabularnewline
212 & 0.999793 & 0.000414892 & 0.000207446 \tabularnewline
213 & 0.99976 & 0.000480431 & 0.000240216 \tabularnewline
214 & 0.999654 & 0.000692998 & 0.000346499 \tabularnewline
215 & 0.999617 & 0.000765978 & 0.000382989 \tabularnewline
216 & 0.99955 & 0.00090064 & 0.00045032 \tabularnewline
217 & 0.999354 & 0.00129223 & 0.000646115 \tabularnewline
218 & 0.999135 & 0.00172932 & 0.000864662 \tabularnewline
219 & 0.99929 & 0.00141987 & 0.000709936 \tabularnewline
220 & 0.999078 & 0.00184336 & 0.000921682 \tabularnewline
221 & 0.998956 & 0.00208707 & 0.00104354 \tabularnewline
222 & 0.998595 & 0.00280944 & 0.00140472 \tabularnewline
223 & 0.998392 & 0.00321592 & 0.00160796 \tabularnewline
224 & 0.997918 & 0.00416345 & 0.00208173 \tabularnewline
225 & 0.997557 & 0.00488617 & 0.00244309 \tabularnewline
226 & 0.996569 & 0.0068622 & 0.0034311 \tabularnewline
227 & 0.99539 & 0.00922088 & 0.00461044 \tabularnewline
228 & 0.995144 & 0.00971214 & 0.00485607 \tabularnewline
229 & 0.995527 & 0.0089464 & 0.0044732 \tabularnewline
230 & 0.993811 & 0.012379 & 0.00618949 \tabularnewline
231 & 0.993273 & 0.0134549 & 0.00672744 \tabularnewline
232 & 0.992654 & 0.0146924 & 0.00734619 \tabularnewline
233 & 0.995959 & 0.00808111 & 0.00404055 \tabularnewline
234 & 0.996845 & 0.00630994 & 0.00315497 \tabularnewline
235 & 0.99721 & 0.00557995 & 0.00278998 \tabularnewline
236 & 0.996336 & 0.00732864 & 0.00366432 \tabularnewline
237 & 0.997062 & 0.00587607 & 0.00293803 \tabularnewline
238 & 0.997873 & 0.00425357 & 0.00212679 \tabularnewline
239 & 0.997089 & 0.00582287 & 0.00291143 \tabularnewline
240 & 0.996011 & 0.00797838 & 0.00398919 \tabularnewline
241 & 0.995445 & 0.00910989 & 0.00455495 \tabularnewline
242 & 0.994922 & 0.0101563 & 0.00507816 \tabularnewline
243 & 0.998727 & 0.00254668 & 0.00127334 \tabularnewline
244 & 0.998471 & 0.00305757 & 0.00152878 \tabularnewline
245 & 0.998338 & 0.00332327 & 0.00166163 \tabularnewline
246 & 0.997514 & 0.00497254 & 0.00248627 \tabularnewline
247 & 0.996193 & 0.00761316 & 0.00380658 \tabularnewline
248 & 0.994905 & 0.0101908 & 0.00509538 \tabularnewline
249 & 0.992605 & 0.0147898 & 0.00739488 \tabularnewline
250 & 0.990724 & 0.0185527 & 0.00927636 \tabularnewline
251 & 0.988051 & 0.0238987 & 0.0119493 \tabularnewline
252 & 0.993582 & 0.0128363 & 0.00641813 \tabularnewline
253 & 0.990251 & 0.0194987 & 0.00974933 \tabularnewline
254 & 0.985629 & 0.0287428 & 0.0143714 \tabularnewline
255 & 0.980741 & 0.0385184 & 0.0192592 \tabularnewline
256 & 0.973771 & 0.0524572 & 0.0262286 \tabularnewline
257 & 0.963356 & 0.0732877 & 0.0366438 \tabularnewline
258 & 0.948308 & 0.103385 & 0.0516923 \tabularnewline
259 & 0.931906 & 0.136189 & 0.0680943 \tabularnewline
260 & 0.925018 & 0.149963 & 0.0749817 \tabularnewline
261 & 0.898132 & 0.203737 & 0.101868 \tabularnewline
262 & 0.864342 & 0.271316 & 0.135658 \tabularnewline
263 & 0.892852 & 0.214296 & 0.107148 \tabularnewline
264 & 0.863958 & 0.272083 & 0.136042 \tabularnewline
265 & 0.870428 & 0.259143 & 0.129572 \tabularnewline
266 & 0.961278 & 0.0774437 & 0.0387219 \tabularnewline
267 & 0.949568 & 0.100863 & 0.0504315 \tabularnewline
268 & 0.999507 & 0.000985364 & 0.000492682 \tabularnewline
269 & 0.999756 & 0.000488506 & 0.000244253 \tabularnewline
270 & 0.999815 & 0.000370642 & 0.000185321 \tabularnewline
271 & 0.999971 & 5.89795e-05 & 2.94897e-05 \tabularnewline
272 & 0.999895 & 0.000209663 & 0.000104832 \tabularnewline
273 & 0.999871 & 0.000258671 & 0.000129335 \tabularnewline
274 & 0.999713 & 0.000573965 & 0.000286983 \tabularnewline
275 & 0.99984 & 0.000320618 & 0.000160309 \tabularnewline
276 & 0.999381 & 0.0012371 & 0.000618548 \tabularnewline
277 & 0.998676 & 0.00264733 & 0.00132366 \tabularnewline
278 & 0.993576 & 0.0128489 & 0.00642446 \tabularnewline
279 & 0.993848 & 0.0123031 & 0.00615156 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268952&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]7[/C][C]0.780628[/C][C]0.438745[/C][C]0.219372[/C][/ROW]
[ROW][C]8[/C][C]0.809544[/C][C]0.380913[/C][C]0.190456[/C][/ROW]
[ROW][C]9[/C][C]0.712597[/C][C]0.574806[/C][C]0.287403[/C][/ROW]
[ROW][C]10[/C][C]0.651497[/C][C]0.697006[/C][C]0.348503[/C][/ROW]
[ROW][C]11[/C][C]0.597747[/C][C]0.804506[/C][C]0.402253[/C][/ROW]
[ROW][C]12[/C][C]0.500851[/C][C]0.998298[/C][C]0.499149[/C][/ROW]
[ROW][C]13[/C][C]0.619243[/C][C]0.761514[/C][C]0.380757[/C][/ROW]
[ROW][C]14[/C][C]0.528931[/C][C]0.942137[/C][C]0.471069[/C][/ROW]
[ROW][C]15[/C][C]0.442473[/C][C]0.884946[/C][C]0.557527[/C][/ROW]
[ROW][C]16[/C][C]0.407223[/C][C]0.814446[/C][C]0.592777[/C][/ROW]
[ROW][C]17[/C][C]0.372064[/C][C]0.744129[/C][C]0.627936[/C][/ROW]
[ROW][C]18[/C][C]0.301888[/C][C]0.603777[/C][C]0.698112[/C][/ROW]
[ROW][C]19[/C][C]0.240756[/C][C]0.481512[/C][C]0.759244[/C][/ROW]
[ROW][C]20[/C][C]0.189845[/C][C]0.379689[/C][C]0.810155[/C][/ROW]
[ROW][C]21[/C][C]0.145051[/C][C]0.290103[/C][C]0.854949[/C][/ROW]
[ROW][C]22[/C][C]0.148525[/C][C]0.297051[/C][C]0.851475[/C][/ROW]
[ROW][C]23[/C][C]0.12378[/C][C]0.247559[/C][C]0.87622[/C][/ROW]
[ROW][C]24[/C][C]0.0972819[/C][C]0.194564[/C][C]0.902718[/C][/ROW]
[ROW][C]25[/C][C]0.0873651[/C][C]0.17473[/C][C]0.912635[/C][/ROW]
[ROW][C]26[/C][C]0.065617[/C][C]0.131234[/C][C]0.934383[/C][/ROW]
[ROW][C]27[/C][C]0.0532368[/C][C]0.106474[/C][C]0.946763[/C][/ROW]
[ROW][C]28[/C][C]0.0394738[/C][C]0.0789476[/C][C]0.960526[/C][/ROW]
[ROW][C]29[/C][C]0.0541316[/C][C]0.108263[/C][C]0.945868[/C][/ROW]
[ROW][C]30[/C][C]0.0417483[/C][C]0.0834966[/C][C]0.958252[/C][/ROW]
[ROW][C]31[/C][C]0.036613[/C][C]0.073226[/C][C]0.963387[/C][/ROW]
[ROW][C]32[/C][C]0.0312736[/C][C]0.0625471[/C][C]0.968726[/C][/ROW]
[ROW][C]33[/C][C]0.0261977[/C][C]0.0523954[/C][C]0.973802[/C][/ROW]
[ROW][C]34[/C][C]0.0411651[/C][C]0.0823301[/C][C]0.958835[/C][/ROW]
[ROW][C]35[/C][C]0.0322626[/C][C]0.0645251[/C][C]0.967737[/C][/ROW]
[ROW][C]36[/C][C]0.0423605[/C][C]0.0847209[/C][C]0.95764[/C][/ROW]
[ROW][C]37[/C][C]0.031778[/C][C]0.0635559[/C][C]0.968222[/C][/ROW]
[ROW][C]38[/C][C]0.0233875[/C][C]0.046775[/C][C]0.976613[/C][/ROW]
[ROW][C]39[/C][C]0.0190604[/C][C]0.0381208[/C][C]0.98094[/C][/ROW]
[ROW][C]40[/C][C]0.0186838[/C][C]0.0373675[/C][C]0.981316[/C][/ROW]
[ROW][C]41[/C][C]0.0208991[/C][C]0.0417982[/C][C]0.979101[/C][/ROW]
[ROW][C]42[/C][C]0.0165257[/C][C]0.0330514[/C][C]0.983474[/C][/ROW]
[ROW][C]43[/C][C]0.0259405[/C][C]0.051881[/C][C]0.97406[/C][/ROW]
[ROW][C]44[/C][C]0.0199407[/C][C]0.0398814[/C][C]0.980059[/C][/ROW]
[ROW][C]45[/C][C]0.0179233[/C][C]0.0358465[/C][C]0.982077[/C][/ROW]
[ROW][C]46[/C][C]0.0150282[/C][C]0.0300564[/C][C]0.984972[/C][/ROW]
[ROW][C]47[/C][C]0.0158576[/C][C]0.0317152[/C][C]0.984142[/C][/ROW]
[ROW][C]48[/C][C]0.0127778[/C][C]0.0255557[/C][C]0.987222[/C][/ROW]
[ROW][C]49[/C][C]0.0101731[/C][C]0.0203462[/C][C]0.989827[/C][/ROW]
[ROW][C]50[/C][C]0.0138543[/C][C]0.0277085[/C][C]0.986146[/C][/ROW]
[ROW][C]51[/C][C]0.0154904[/C][C]0.0309808[/C][C]0.98451[/C][/ROW]
[ROW][C]52[/C][C]0.0157818[/C][C]0.0315636[/C][C]0.984218[/C][/ROW]
[ROW][C]53[/C][C]0.0128888[/C][C]0.0257776[/C][C]0.987111[/C][/ROW]
[ROW][C]54[/C][C]0.0136032[/C][C]0.0272065[/C][C]0.986397[/C][/ROW]
[ROW][C]55[/C][C]0.0115124[/C][C]0.0230247[/C][C]0.988488[/C][/ROW]
[ROW][C]56[/C][C]0.0111239[/C][C]0.0222477[/C][C]0.988876[/C][/ROW]
[ROW][C]57[/C][C]0.0104191[/C][C]0.0208382[/C][C]0.989581[/C][/ROW]
[ROW][C]58[/C][C]0.00815261[/C][C]0.0163052[/C][C]0.991847[/C][/ROW]
[ROW][C]59[/C][C]0.0162648[/C][C]0.0325296[/C][C]0.983735[/C][/ROW]
[ROW][C]60[/C][C]0.0217237[/C][C]0.0434473[/C][C]0.978276[/C][/ROW]
[ROW][C]61[/C][C]0.017061[/C][C]0.0341219[/C][C]0.982939[/C][/ROW]
[ROW][C]62[/C][C]0.0183326[/C][C]0.0366652[/C][C]0.981667[/C][/ROW]
[ROW][C]63[/C][C]0.022261[/C][C]0.0445219[/C][C]0.977739[/C][/ROW]
[ROW][C]64[/C][C]0.020371[/C][C]0.0407419[/C][C]0.979629[/C][/ROW]
[ROW][C]65[/C][C]0.0221358[/C][C]0.0442715[/C][C]0.977864[/C][/ROW]
[ROW][C]66[/C][C]0.0319487[/C][C]0.0638974[/C][C]0.968051[/C][/ROW]
[ROW][C]67[/C][C]0.0348135[/C][C]0.0696269[/C][C]0.965187[/C][/ROW]
[ROW][C]68[/C][C]0.0285038[/C][C]0.0570076[/C][C]0.971496[/C][/ROW]
[ROW][C]69[/C][C]0.0300406[/C][C]0.0600812[/C][C]0.969959[/C][/ROW]
[ROW][C]70[/C][C]0.0342259[/C][C]0.0684518[/C][C]0.965774[/C][/ROW]
[ROW][C]71[/C][C]0.0356766[/C][C]0.0713531[/C][C]0.964323[/C][/ROW]
[ROW][C]72[/C][C]0.0322217[/C][C]0.0644435[/C][C]0.967778[/C][/ROW]
[ROW][C]73[/C][C]0.0298165[/C][C]0.059633[/C][C]0.970184[/C][/ROW]
[ROW][C]74[/C][C]0.0259032[/C][C]0.0518064[/C][C]0.974097[/C][/ROW]
[ROW][C]75[/C][C]0.0229044[/C][C]0.0458088[/C][C]0.977096[/C][/ROW]
[ROW][C]76[/C][C]0.0239021[/C][C]0.0478041[/C][C]0.976098[/C][/ROW]
[ROW][C]77[/C][C]0.0568837[/C][C]0.113767[/C][C]0.943116[/C][/ROW]
[ROW][C]78[/C][C]0.0539672[/C][C]0.107934[/C][C]0.946033[/C][/ROW]
[ROW][C]79[/C][C]0.0522687[/C][C]0.104537[/C][C]0.947731[/C][/ROW]
[ROW][C]80[/C][C]0.0492089[/C][C]0.0984177[/C][C]0.950791[/C][/ROW]
[ROW][C]81[/C][C]0.0500112[/C][C]0.100022[/C][C]0.949989[/C][/ROW]
[ROW][C]82[/C][C]0.0418304[/C][C]0.0836609[/C][C]0.95817[/C][/ROW]
[ROW][C]83[/C][C]0.0585798[/C][C]0.11716[/C][C]0.94142[/C][/ROW]
[ROW][C]84[/C][C]0.0506116[/C][C]0.101223[/C][C]0.949388[/C][/ROW]
[ROW][C]85[/C][C]0.056865[/C][C]0.11373[/C][C]0.943135[/C][/ROW]
[ROW][C]86[/C][C]0.0492834[/C][C]0.0985669[/C][C]0.950717[/C][/ROW]
[ROW][C]87[/C][C]0.115048[/C][C]0.230096[/C][C]0.884952[/C][/ROW]
[ROW][C]88[/C][C]0.112844[/C][C]0.225687[/C][C]0.887156[/C][/ROW]
[ROW][C]89[/C][C]0.104392[/C][C]0.208784[/C][C]0.895608[/C][/ROW]
[ROW][C]90[/C][C]0.0902305[/C][C]0.180461[/C][C]0.90977[/C][/ROW]
[ROW][C]91[/C][C]0.0776637[/C][C]0.155327[/C][C]0.922336[/C][/ROW]
[ROW][C]92[/C][C]0.0767932[/C][C]0.153586[/C][C]0.923207[/C][/ROW]
[ROW][C]93[/C][C]0.0819462[/C][C]0.163892[/C][C]0.918054[/C][/ROW]
[ROW][C]94[/C][C]0.0855155[/C][C]0.171031[/C][C]0.914485[/C][/ROW]
[ROW][C]95[/C][C]0.15047[/C][C]0.300939[/C][C]0.84953[/C][/ROW]
[ROW][C]96[/C][C]0.171434[/C][C]0.342868[/C][C]0.828566[/C][/ROW]
[ROW][C]97[/C][C]0.166592[/C][C]0.333183[/C][C]0.833408[/C][/ROW]
[ROW][C]98[/C][C]0.18262[/C][C]0.36524[/C][C]0.81738[/C][/ROW]
[ROW][C]99[/C][C]0.187565[/C][C]0.37513[/C][C]0.812435[/C][/ROW]
[ROW][C]100[/C][C]0.26096[/C][C]0.521921[/C][C]0.73904[/C][/ROW]
[ROW][C]101[/C][C]0.248947[/C][C]0.497894[/C][C]0.751053[/C][/ROW]
[ROW][C]102[/C][C]0.288574[/C][C]0.577148[/C][C]0.711426[/C][/ROW]
[ROW][C]103[/C][C]0.362229[/C][C]0.724459[/C][C]0.637771[/C][/ROW]
[ROW][C]104[/C][C]0.339447[/C][C]0.678895[/C][C]0.660553[/C][/ROW]
[ROW][C]105[/C][C]0.329315[/C][C]0.658631[/C][C]0.670685[/C][/ROW]
[ROW][C]106[/C][C]0.341803[/C][C]0.683606[/C][C]0.658197[/C][/ROW]
[ROW][C]107[/C][C]0.379059[/C][C]0.758118[/C][C]0.620941[/C][/ROW]
[ROW][C]108[/C][C]0.412193[/C][C]0.824385[/C][C]0.587807[/C][/ROW]
[ROW][C]109[/C][C]0.45669[/C][C]0.91338[/C][C]0.54331[/C][/ROW]
[ROW][C]110[/C][C]0.470492[/C][C]0.940985[/C][C]0.529508[/C][/ROW]
[ROW][C]111[/C][C]0.692344[/C][C]0.615312[/C][C]0.307656[/C][/ROW]
[ROW][C]112[/C][C]0.736074[/C][C]0.527851[/C][C]0.263926[/C][/ROW]
[ROW][C]113[/C][C]0.754579[/C][C]0.490841[/C][C]0.245421[/C][/ROW]
[ROW][C]114[/C][C]0.752824[/C][C]0.494353[/C][C]0.247176[/C][/ROW]
[ROW][C]115[/C][C]0.743529[/C][C]0.512942[/C][C]0.256471[/C][/ROW]
[ROW][C]116[/C][C]0.858213[/C][C]0.283574[/C][C]0.141787[/C][/ROW]
[ROW][C]117[/C][C]0.858813[/C][C]0.282374[/C][C]0.141187[/C][/ROW]
[ROW][C]118[/C][C]0.935423[/C][C]0.129154[/C][C]0.0645772[/C][/ROW]
[ROW][C]119[/C][C]0.969143[/C][C]0.0617149[/C][C]0.0308575[/C][/ROW]
[ROW][C]120[/C][C]0.972537[/C][C]0.0549263[/C][C]0.0274632[/C][/ROW]
[ROW][C]121[/C][C]0.97432[/C][C]0.0513595[/C][C]0.0256797[/C][/ROW]
[ROW][C]122[/C][C]0.979729[/C][C]0.0405428[/C][C]0.0202714[/C][/ROW]
[ROW][C]123[/C][C]0.98694[/C][C]0.026119[/C][C]0.0130595[/C][/ROW]
[ROW][C]124[/C][C]0.989921[/C][C]0.0201589[/C][C]0.0100795[/C][/ROW]
[ROW][C]125[/C][C]0.992212[/C][C]0.0155753[/C][C]0.00778763[/C][/ROW]
[ROW][C]126[/C][C]0.996435[/C][C]0.00713064[/C][C]0.00356532[/C][/ROW]
[ROW][C]127[/C][C]0.998432[/C][C]0.00313604[/C][C]0.00156802[/C][/ROW]
[ROW][C]128[/C][C]0.998448[/C][C]0.00310358[/C][C]0.00155179[/C][/ROW]
[ROW][C]129[/C][C]0.998303[/C][C]0.00339428[/C][C]0.00169714[/C][/ROW]
[ROW][C]130[/C][C]0.998815[/C][C]0.00236974[/C][C]0.00118487[/C][/ROW]
[ROW][C]131[/C][C]0.998503[/C][C]0.00299327[/C][C]0.00149663[/C][/ROW]
[ROW][C]132[/C][C]0.998996[/C][C]0.00200721[/C][C]0.00100361[/C][/ROW]
[ROW][C]133[/C][C]0.999011[/C][C]0.00197731[/C][C]0.000988653[/C][/ROW]
[ROW][C]134[/C][C]0.999134[/C][C]0.00173212[/C][C]0.00086606[/C][/ROW]
[ROW][C]135[/C][C]0.999098[/C][C]0.00180456[/C][C]0.000902278[/C][/ROW]
[ROW][C]136[/C][C]0.999061[/C][C]0.00187728[/C][C]0.00093864[/C][/ROW]
[ROW][C]137[/C][C]0.998947[/C][C]0.00210689[/C][C]0.00105345[/C][/ROW]
[ROW][C]138[/C][C]0.998743[/C][C]0.00251472[/C][C]0.00125736[/C][/ROW]
[ROW][C]139[/C][C]0.99843[/C][C]0.00313917[/C][C]0.00156958[/C][/ROW]
[ROW][C]140[/C][C]0.999334[/C][C]0.00133232[/C][C]0.00066616[/C][/ROW]
[ROW][C]141[/C][C]0.999208[/C][C]0.00158465[/C][C]0.000792327[/C][/ROW]
[ROW][C]142[/C][C]0.999484[/C][C]0.00103199[/C][C]0.000515997[/C][/ROW]
[ROW][C]143[/C][C]0.999432[/C][C]0.00113615[/C][C]0.000568077[/C][/ROW]
[ROW][C]144[/C][C]0.99928[/C][C]0.00143958[/C][C]0.000719789[/C][/ROW]
[ROW][C]145[/C][C]0.999665[/C][C]0.000670719[/C][C]0.000335359[/C][/ROW]
[ROW][C]146[/C][C]0.99964[/C][C]0.0007194[/C][C]0.0003597[/C][/ROW]
[ROW][C]147[/C][C]0.9998[/C][C]0.000400459[/C][C]0.00020023[/C][/ROW]
[ROW][C]148[/C][C]0.999822[/C][C]0.000355978[/C][C]0.000177989[/C][/ROW]
[ROW][C]149[/C][C]0.99982[/C][C]0.000359724[/C][C]0.000179862[/C][/ROW]
[ROW][C]150[/C][C]0.999849[/C][C]0.000302344[/C][C]0.000151172[/C][/ROW]
[ROW][C]151[/C][C]0.999811[/C][C]0.000378562[/C][C]0.000189281[/C][/ROW]
[ROW][C]152[/C][C]0.999799[/C][C]0.000402151[/C][C]0.000201076[/C][/ROW]
[ROW][C]153[/C][C]0.999756[/C][C]0.00048734[/C][C]0.00024367[/C][/ROW]
[ROW][C]154[/C][C]0.999731[/C][C]0.000538716[/C][C]0.000269358[/C][/ROW]
[ROW][C]155[/C][C]0.999816[/C][C]0.000368378[/C][C]0.000184189[/C][/ROW]
[ROW][C]156[/C][C]0.999952[/C][C]9.68923e-05[/C][C]4.84461e-05[/C][/ROW]
[ROW][C]157[/C][C]0.999943[/C][C]0.00011431[/C][C]5.7155e-05[/C][/ROW]
[ROW][C]158[/C][C]0.999962[/C][C]7.63055e-05[/C][C]3.81528e-05[/C][/ROW]
[ROW][C]159[/C][C]0.999962[/C][C]7.50249e-05[/C][C]3.75125e-05[/C][/ROW]
[ROW][C]160[/C][C]0.999969[/C][C]6.1736e-05[/C][C]3.0868e-05[/C][/ROW]
[ROW][C]161[/C][C]0.999961[/C][C]7.84264e-05[/C][C]3.92132e-05[/C][/ROW]
[ROW][C]162[/C][C]0.999963[/C][C]7.47015e-05[/C][C]3.73508e-05[/C][/ROW]
[ROW][C]163[/C][C]0.999959[/C][C]8.23337e-05[/C][C]4.11668e-05[/C][/ROW]
[ROW][C]164[/C][C]0.999951[/C][C]9.8892e-05[/C][C]4.9446e-05[/C][/ROW]
[ROW][C]165[/C][C]0.999932[/C][C]0.00013538[/C][C]6.76901e-05[/C][/ROW]
[ROW][C]166[/C][C]0.999945[/C][C]0.000110946[/C][C]5.54731e-05[/C][/ROW]
[ROW][C]167[/C][C]0.999952[/C][C]9.60529e-05[/C][C]4.80264e-05[/C][/ROW]
[ROW][C]168[/C][C]0.999947[/C][C]0.000105[/C][C]5.25e-05[/C][/ROW]
[ROW][C]169[/C][C]0.999996[/C][C]8.14404e-06[/C][C]4.07202e-06[/C][/ROW]
[ROW][C]170[/C][C]0.999996[/C][C]7.36173e-06[/C][C]3.68086e-06[/C][/ROW]
[ROW][C]171[/C][C]0.999994[/C][C]1.10787e-05[/C][C]5.53934e-06[/C][/ROW]
[ROW][C]172[/C][C]0.999995[/C][C]9.40284e-06[/C][C]4.70142e-06[/C][/ROW]
[ROW][C]173[/C][C]0.999997[/C][C]6.61611e-06[/C][C]3.30805e-06[/C][/ROW]
[ROW][C]174[/C][C]0.999996[/C][C]8.57487e-06[/C][C]4.28743e-06[/C][/ROW]
[ROW][C]175[/C][C]0.999996[/C][C]8.94315e-06[/C][C]4.47157e-06[/C][/ROW]
[ROW][C]176[/C][C]0.999995[/C][C]1.01606e-05[/C][C]5.08028e-06[/C][/ROW]
[ROW][C]177[/C][C]0.999996[/C][C]7.01268e-06[/C][C]3.50634e-06[/C][/ROW]
[ROW][C]178[/C][C]0.999996[/C][C]8.45892e-06[/C][C]4.22946e-06[/C][/ROW]
[ROW][C]179[/C][C]0.999995[/C][C]1.02696e-05[/C][C]5.13478e-06[/C][/ROW]
[ROW][C]180[/C][C]0.999994[/C][C]1.25573e-05[/C][C]6.27866e-06[/C][/ROW]
[ROW][C]181[/C][C]0.999995[/C][C]1.0742e-05[/C][C]5.37102e-06[/C][/ROW]
[ROW][C]182[/C][C]0.999994[/C][C]1.27625e-05[/C][C]6.38124e-06[/C][/ROW]
[ROW][C]183[/C][C]0.999996[/C][C]8.66597e-06[/C][C]4.33298e-06[/C][/ROW]
[ROW][C]184[/C][C]0.999994[/C][C]1.12559e-05[/C][C]5.62796e-06[/C][/ROW]
[ROW][C]185[/C][C]0.999995[/C][C]1.0134e-05[/C][C]5.06698e-06[/C][/ROW]
[ROW][C]186[/C][C]0.999994[/C][C]1.11616e-05[/C][C]5.58078e-06[/C][/ROW]
[ROW][C]187[/C][C]0.999992[/C][C]1.5711e-05[/C][C]7.85549e-06[/C][/ROW]
[ROW][C]188[/C][C]0.999992[/C][C]1.5226e-05[/C][C]7.61298e-06[/C][/ROW]
[ROW][C]189[/C][C]0.999989[/C][C]2.15563e-05[/C][C]1.07781e-05[/C][/ROW]
[ROW][C]190[/C][C]0.999988[/C][C]2.3775e-05[/C][C]1.18875e-05[/C][/ROW]
[ROW][C]191[/C][C]0.999984[/C][C]3.14698e-05[/C][C]1.57349e-05[/C][/ROW]
[ROW][C]192[/C][C]0.999993[/C][C]1.39664e-05[/C][C]6.9832e-06[/C][/ROW]
[ROW][C]193[/C][C]0.99999[/C][C]1.96274e-05[/C][C]9.81368e-06[/C][/ROW]
[ROW][C]194[/C][C]0.999985[/C][C]2.92806e-05[/C][C]1.46403e-05[/C][/ROW]
[ROW][C]195[/C][C]0.999978[/C][C]4.34879e-05[/C][C]2.17439e-05[/C][/ROW]
[ROW][C]196[/C][C]0.999969[/C][C]6.2106e-05[/C][C]3.1053e-05[/C][/ROW]
[ROW][C]197[/C][C]0.999956[/C][C]8.7107e-05[/C][C]4.35535e-05[/C][/ROW]
[ROW][C]198[/C][C]0.999947[/C][C]0.000106436[/C][C]5.32182e-05[/C][/ROW]
[ROW][C]199[/C][C]0.999972[/C][C]5.67015e-05[/C][C]2.83508e-05[/C][/ROW]
[ROW][C]200[/C][C]0.999961[/C][C]7.79236e-05[/C][C]3.89618e-05[/C][/ROW]
[ROW][C]201[/C][C]0.999954[/C][C]9.19013e-05[/C][C]4.59506e-05[/C][/ROW]
[ROW][C]202[/C][C]0.99995[/C][C]9.93167e-05[/C][C]4.96584e-05[/C][/ROW]
[ROW][C]203[/C][C]0.999928[/C][C]0.000143188[/C][C]7.15938e-05[/C][/ROW]
[ROW][C]204[/C][C]0.999937[/C][C]0.000125406[/C][C]6.27031e-05[/C][/ROW]
[ROW][C]205[/C][C]0.999927[/C][C]0.000146722[/C][C]7.33608e-05[/C][/ROW]
[ROW][C]206[/C][C]0.999918[/C][C]0.000163624[/C][C]8.18122e-05[/C][/ROW]
[ROW][C]207[/C][C]0.999906[/C][C]0.000188198[/C][C]9.40991e-05[/C][/ROW]
[ROW][C]208[/C][C]0.999887[/C][C]0.000226276[/C][C]0.000113138[/C][/ROW]
[ROW][C]209[/C][C]0.999853[/C][C]0.000293258[/C][C]0.000146629[/C][/ROW]
[ROW][C]210[/C][C]0.999792[/C][C]0.000415757[/C][C]0.000207879[/C][/ROW]
[ROW][C]211[/C][C]0.999847[/C][C]0.000306633[/C][C]0.000153317[/C][/ROW]
[ROW][C]212[/C][C]0.999793[/C][C]0.000414892[/C][C]0.000207446[/C][/ROW]
[ROW][C]213[/C][C]0.99976[/C][C]0.000480431[/C][C]0.000240216[/C][/ROW]
[ROW][C]214[/C][C]0.999654[/C][C]0.000692998[/C][C]0.000346499[/C][/ROW]
[ROW][C]215[/C][C]0.999617[/C][C]0.000765978[/C][C]0.000382989[/C][/ROW]
[ROW][C]216[/C][C]0.99955[/C][C]0.00090064[/C][C]0.00045032[/C][/ROW]
[ROW][C]217[/C][C]0.999354[/C][C]0.00129223[/C][C]0.000646115[/C][/ROW]
[ROW][C]218[/C][C]0.999135[/C][C]0.00172932[/C][C]0.000864662[/C][/ROW]
[ROW][C]219[/C][C]0.99929[/C][C]0.00141987[/C][C]0.000709936[/C][/ROW]
[ROW][C]220[/C][C]0.999078[/C][C]0.00184336[/C][C]0.000921682[/C][/ROW]
[ROW][C]221[/C][C]0.998956[/C][C]0.00208707[/C][C]0.00104354[/C][/ROW]
[ROW][C]222[/C][C]0.998595[/C][C]0.00280944[/C][C]0.00140472[/C][/ROW]
[ROW][C]223[/C][C]0.998392[/C][C]0.00321592[/C][C]0.00160796[/C][/ROW]
[ROW][C]224[/C][C]0.997918[/C][C]0.00416345[/C][C]0.00208173[/C][/ROW]
[ROW][C]225[/C][C]0.997557[/C][C]0.00488617[/C][C]0.00244309[/C][/ROW]
[ROW][C]226[/C][C]0.996569[/C][C]0.0068622[/C][C]0.0034311[/C][/ROW]
[ROW][C]227[/C][C]0.99539[/C][C]0.00922088[/C][C]0.00461044[/C][/ROW]
[ROW][C]228[/C][C]0.995144[/C][C]0.00971214[/C][C]0.00485607[/C][/ROW]
[ROW][C]229[/C][C]0.995527[/C][C]0.0089464[/C][C]0.0044732[/C][/ROW]
[ROW][C]230[/C][C]0.993811[/C][C]0.012379[/C][C]0.00618949[/C][/ROW]
[ROW][C]231[/C][C]0.993273[/C][C]0.0134549[/C][C]0.00672744[/C][/ROW]
[ROW][C]232[/C][C]0.992654[/C][C]0.0146924[/C][C]0.00734619[/C][/ROW]
[ROW][C]233[/C][C]0.995959[/C][C]0.00808111[/C][C]0.00404055[/C][/ROW]
[ROW][C]234[/C][C]0.996845[/C][C]0.00630994[/C][C]0.00315497[/C][/ROW]
[ROW][C]235[/C][C]0.99721[/C][C]0.00557995[/C][C]0.00278998[/C][/ROW]
[ROW][C]236[/C][C]0.996336[/C][C]0.00732864[/C][C]0.00366432[/C][/ROW]
[ROW][C]237[/C][C]0.997062[/C][C]0.00587607[/C][C]0.00293803[/C][/ROW]
[ROW][C]238[/C][C]0.997873[/C][C]0.00425357[/C][C]0.00212679[/C][/ROW]
[ROW][C]239[/C][C]0.997089[/C][C]0.00582287[/C][C]0.00291143[/C][/ROW]
[ROW][C]240[/C][C]0.996011[/C][C]0.00797838[/C][C]0.00398919[/C][/ROW]
[ROW][C]241[/C][C]0.995445[/C][C]0.00910989[/C][C]0.00455495[/C][/ROW]
[ROW][C]242[/C][C]0.994922[/C][C]0.0101563[/C][C]0.00507816[/C][/ROW]
[ROW][C]243[/C][C]0.998727[/C][C]0.00254668[/C][C]0.00127334[/C][/ROW]
[ROW][C]244[/C][C]0.998471[/C][C]0.00305757[/C][C]0.00152878[/C][/ROW]
[ROW][C]245[/C][C]0.998338[/C][C]0.00332327[/C][C]0.00166163[/C][/ROW]
[ROW][C]246[/C][C]0.997514[/C][C]0.00497254[/C][C]0.00248627[/C][/ROW]
[ROW][C]247[/C][C]0.996193[/C][C]0.00761316[/C][C]0.00380658[/C][/ROW]
[ROW][C]248[/C][C]0.994905[/C][C]0.0101908[/C][C]0.00509538[/C][/ROW]
[ROW][C]249[/C][C]0.992605[/C][C]0.0147898[/C][C]0.00739488[/C][/ROW]
[ROW][C]250[/C][C]0.990724[/C][C]0.0185527[/C][C]0.00927636[/C][/ROW]
[ROW][C]251[/C][C]0.988051[/C][C]0.0238987[/C][C]0.0119493[/C][/ROW]
[ROW][C]252[/C][C]0.993582[/C][C]0.0128363[/C][C]0.00641813[/C][/ROW]
[ROW][C]253[/C][C]0.990251[/C][C]0.0194987[/C][C]0.00974933[/C][/ROW]
[ROW][C]254[/C][C]0.985629[/C][C]0.0287428[/C][C]0.0143714[/C][/ROW]
[ROW][C]255[/C][C]0.980741[/C][C]0.0385184[/C][C]0.0192592[/C][/ROW]
[ROW][C]256[/C][C]0.973771[/C][C]0.0524572[/C][C]0.0262286[/C][/ROW]
[ROW][C]257[/C][C]0.963356[/C][C]0.0732877[/C][C]0.0366438[/C][/ROW]
[ROW][C]258[/C][C]0.948308[/C][C]0.103385[/C][C]0.0516923[/C][/ROW]
[ROW][C]259[/C][C]0.931906[/C][C]0.136189[/C][C]0.0680943[/C][/ROW]
[ROW][C]260[/C][C]0.925018[/C][C]0.149963[/C][C]0.0749817[/C][/ROW]
[ROW][C]261[/C][C]0.898132[/C][C]0.203737[/C][C]0.101868[/C][/ROW]
[ROW][C]262[/C][C]0.864342[/C][C]0.271316[/C][C]0.135658[/C][/ROW]
[ROW][C]263[/C][C]0.892852[/C][C]0.214296[/C][C]0.107148[/C][/ROW]
[ROW][C]264[/C][C]0.863958[/C][C]0.272083[/C][C]0.136042[/C][/ROW]
[ROW][C]265[/C][C]0.870428[/C][C]0.259143[/C][C]0.129572[/C][/ROW]
[ROW][C]266[/C][C]0.961278[/C][C]0.0774437[/C][C]0.0387219[/C][/ROW]
[ROW][C]267[/C][C]0.949568[/C][C]0.100863[/C][C]0.0504315[/C][/ROW]
[ROW][C]268[/C][C]0.999507[/C][C]0.000985364[/C][C]0.000492682[/C][/ROW]
[ROW][C]269[/C][C]0.999756[/C][C]0.000488506[/C][C]0.000244253[/C][/ROW]
[ROW][C]270[/C][C]0.999815[/C][C]0.000370642[/C][C]0.000185321[/C][/ROW]
[ROW][C]271[/C][C]0.999971[/C][C]5.89795e-05[/C][C]2.94897e-05[/C][/ROW]
[ROW][C]272[/C][C]0.999895[/C][C]0.000209663[/C][C]0.000104832[/C][/ROW]
[ROW][C]273[/C][C]0.999871[/C][C]0.000258671[/C][C]0.000129335[/C][/ROW]
[ROW][C]274[/C][C]0.999713[/C][C]0.000573965[/C][C]0.000286983[/C][/ROW]
[ROW][C]275[/C][C]0.99984[/C][C]0.000320618[/C][C]0.000160309[/C][/ROW]
[ROW][C]276[/C][C]0.999381[/C][C]0.0012371[/C][C]0.000618548[/C][/ROW]
[ROW][C]277[/C][C]0.998676[/C][C]0.00264733[/C][C]0.00132366[/C][/ROW]
[ROW][C]278[/C][C]0.993576[/C][C]0.0128489[/C][C]0.00642446[/C][/ROW]
[ROW][C]279[/C][C]0.993848[/C][C]0.0123031[/C][C]0.00615156[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268952&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268952&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
70.7806280.4387450.219372
80.8095440.3809130.190456
90.7125970.5748060.287403
100.6514970.6970060.348503
110.5977470.8045060.402253
120.5008510.9982980.499149
130.6192430.7615140.380757
140.5289310.9421370.471069
150.4424730.8849460.557527
160.4072230.8144460.592777
170.3720640.7441290.627936
180.3018880.6037770.698112
190.2407560.4815120.759244
200.1898450.3796890.810155
210.1450510.2901030.854949
220.1485250.2970510.851475
230.123780.2475590.87622
240.09728190.1945640.902718
250.08736510.174730.912635
260.0656170.1312340.934383
270.05323680.1064740.946763
280.03947380.07894760.960526
290.05413160.1082630.945868
300.04174830.08349660.958252
310.0366130.0732260.963387
320.03127360.06254710.968726
330.02619770.05239540.973802
340.04116510.08233010.958835
350.03226260.06452510.967737
360.04236050.08472090.95764
370.0317780.06355590.968222
380.02338750.0467750.976613
390.01906040.03812080.98094
400.01868380.03736750.981316
410.02089910.04179820.979101
420.01652570.03305140.983474
430.02594050.0518810.97406
440.01994070.03988140.980059
450.01792330.03584650.982077
460.01502820.03005640.984972
470.01585760.03171520.984142
480.01277780.02555570.987222
490.01017310.02034620.989827
500.01385430.02770850.986146
510.01549040.03098080.98451
520.01578180.03156360.984218
530.01288880.02577760.987111
540.01360320.02720650.986397
550.01151240.02302470.988488
560.01112390.02224770.988876
570.01041910.02083820.989581
580.008152610.01630520.991847
590.01626480.03252960.983735
600.02172370.04344730.978276
610.0170610.03412190.982939
620.01833260.03666520.981667
630.0222610.04452190.977739
640.0203710.04074190.979629
650.02213580.04427150.977864
660.03194870.06389740.968051
670.03481350.06962690.965187
680.02850380.05700760.971496
690.03004060.06008120.969959
700.03422590.06845180.965774
710.03567660.07135310.964323
720.03222170.06444350.967778
730.02981650.0596330.970184
740.02590320.05180640.974097
750.02290440.04580880.977096
760.02390210.04780410.976098
770.05688370.1137670.943116
780.05396720.1079340.946033
790.05226870.1045370.947731
800.04920890.09841770.950791
810.05001120.1000220.949989
820.04183040.08366090.95817
830.05857980.117160.94142
840.05061160.1012230.949388
850.0568650.113730.943135
860.04928340.09856690.950717
870.1150480.2300960.884952
880.1128440.2256870.887156
890.1043920.2087840.895608
900.09023050.1804610.90977
910.07766370.1553270.922336
920.07679320.1535860.923207
930.08194620.1638920.918054
940.08551550.1710310.914485
950.150470.3009390.84953
960.1714340.3428680.828566
970.1665920.3331830.833408
980.182620.365240.81738
990.1875650.375130.812435
1000.260960.5219210.73904
1010.2489470.4978940.751053
1020.2885740.5771480.711426
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1060.3418030.6836060.658197
1070.3790590.7581180.620941
1080.4121930.8243850.587807
1090.456690.913380.54331
1100.4704920.9409850.529508
1110.6923440.6153120.307656
1120.7360740.5278510.263926
1130.7545790.4908410.245421
1140.7528240.4943530.247176
1150.7435290.5129420.256471
1160.8582130.2835740.141787
1170.8588130.2823740.141187
1180.9354230.1291540.0645772
1190.9691430.06171490.0308575
1200.9725370.05492630.0274632
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1380.9987430.002514720.00125736
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1400.9993340.001332320.00066616
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1500.9998490.0003023440.000151172
1510.9998110.0003785620.000189281
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1550.9998160.0003683780.000184189
1560.9999529.68923e-054.84461e-05
1570.9999430.000114315.7155e-05
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1600.9999696.1736e-053.0868e-05
1610.9999617.84264e-053.92132e-05
1620.9999637.47015e-053.73508e-05
1630.9999598.23337e-054.11668e-05
1640.9999519.8892e-054.9446e-05
1650.9999320.000135386.76901e-05
1660.9999450.0001109465.54731e-05
1670.9999529.60529e-054.80264e-05
1680.9999470.0001055.25e-05
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1700.9999967.36173e-063.68086e-06
1710.9999941.10787e-055.53934e-06
1720.9999959.40284e-064.70142e-06
1730.9999976.61611e-063.30805e-06
1740.9999968.57487e-064.28743e-06
1750.9999968.94315e-064.47157e-06
1760.9999951.01606e-055.08028e-06
1770.9999967.01268e-063.50634e-06
1780.9999968.45892e-064.22946e-06
1790.9999951.02696e-055.13478e-06
1800.9999941.25573e-056.27866e-06
1810.9999951.0742e-055.37102e-06
1820.9999941.27625e-056.38124e-06
1830.9999968.66597e-064.33298e-06
1840.9999941.12559e-055.62796e-06
1850.9999951.0134e-055.06698e-06
1860.9999941.11616e-055.58078e-06
1870.9999921.5711e-057.85549e-06
1880.9999921.5226e-057.61298e-06
1890.9999892.15563e-051.07781e-05
1900.9999882.3775e-051.18875e-05
1910.9999843.14698e-051.57349e-05
1920.9999931.39664e-056.9832e-06
1930.999991.96274e-059.81368e-06
1940.9999852.92806e-051.46403e-05
1950.9999784.34879e-052.17439e-05
1960.9999696.2106e-053.1053e-05
1970.9999568.7107e-054.35535e-05
1980.9999470.0001064365.32182e-05
1990.9999725.67015e-052.83508e-05
2000.9999617.79236e-053.89618e-05
2010.9999549.19013e-054.59506e-05
2020.999959.93167e-054.96584e-05
2030.9999280.0001431887.15938e-05
2040.9999370.0001254066.27031e-05
2050.9999270.0001467227.33608e-05
2060.9999180.0001636248.18122e-05
2070.9999060.0001881989.40991e-05
2080.9998870.0002262760.000113138
2090.9998530.0002932580.000146629
2100.9997920.0004157570.000207879
2110.9998470.0003066330.000153317
2120.9997930.0004148920.000207446
2130.999760.0004804310.000240216
2140.9996540.0006929980.000346499
2150.9996170.0007659780.000382989
2160.999550.000900640.00045032
2170.9993540.001292230.000646115
2180.9991350.001729320.000864662
2190.999290.001419870.000709936
2200.9990780.001843360.000921682
2210.9989560.002087070.00104354
2220.9985950.002809440.00140472
2230.9983920.003215920.00160796
2240.9979180.004163450.00208173
2250.9975570.004886170.00244309
2260.9965690.00686220.0034311
2270.995390.009220880.00461044
2280.9951440.009712140.00485607
2290.9955270.00894640.0044732
2300.9938110.0123790.00618949
2310.9932730.01345490.00672744
2320.9926540.01469240.00734619
2330.9959590.008081110.00404055
2340.9968450.006309940.00315497
2350.997210.005579950.00278998
2360.9963360.007328640.00366432
2370.9970620.005876070.00293803
2380.9978730.004253570.00212679
2390.9970890.005822870.00291143
2400.9960110.007978380.00398919
2410.9954450.009109890.00455495
2420.9949220.01015630.00507816
2430.9987270.002546680.00127334
2440.9984710.003057570.00152878
2450.9983380.003323270.00166163
2460.9975140.004972540.00248627
2470.9961930.007613160.00380658
2480.9949050.01019080.00509538
2490.9926050.01478980.00739488
2500.9907240.01855270.00927636
2510.9880510.02389870.0119493
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2550.9807410.03851840.0192592
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2570.9633560.07328770.0366438
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2600.9250180.1499630.0749817
2610.8981320.2037370.101868
2620.8643420.2713160.135658
2630.8928520.2142960.107148
2640.8639580.2720830.136042
2650.8704280.2591430.129572
2660.9612780.07744370.0387219
2670.9495680.1008630.0504315
2680.9995070.0009853640.000492682
2690.9997560.0004885060.000244253
2700.9998150.0003706420.000185321
2710.9999715.89795e-052.94897e-05
2720.9998950.0002096630.000104832
2730.9998710.0002586710.000129335
2740.9997130.0005739650.000286983
2750.999840.0003206180.000160309
2760.9993810.00123710.000618548
2770.9986760.002647330.00132366
2780.9935760.01284890.00642446
2790.9938480.01230310.00615156






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level1280.468864NOK
5% type I error level1750.641026NOK
10% type I error level2030.74359NOK

\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 & 128 & 0.468864 & NOK \tabularnewline
5% type I error level & 175 & 0.641026 & NOK \tabularnewline
10% type I error level & 203 & 0.74359 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268952&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]128[/C][C]0.468864[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]175[/C][C]0.641026[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]203[/C][C]0.74359[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268952&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268952&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 level1280.468864NOK
5% type I error level1750.641026NOK
10% type I error level2030.74359NOK


Figures (Output of Computation)

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Input Parameters & R Code

Parameters (Session):
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):
par3 <- 'No Linear Trend'
par2 <- 'Do not include Seasonal Dummies'
par1 <- '1'
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')
}