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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 computationThu, 11 Dec 2014 10:39:27 +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/11/t1418294453kixknhwn0vm8i5s.htm/, Retrieved Thu, 16 May 2024 15:18:48 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=265699, Retrieved Thu, 16 May 2024 15:18:48 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact72

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Multiple Regression] [Multiple regressi...] [2014-12-11 10:39:27] [d71ad52285d92a63edfc83f9fb1da7a1] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
12.9 0 50 21 68
7.4 0 68 26 55
12.2 1 62 22 39
12.8 0 54 22 32
7.4 1 71 18 62
6.7 1 54 23 33
12.6 1 65 12 52
14.8 0 73 20 62
13.3 1 52 22 77
11.1 1 84 21 76
8.2 1 42 19 41
11.4 1 66 22 48
6.4 1 65 15 63
10.6 1 78 20 30
12 0 73 19 78
6.3 0 75 18 19
11.3 0 72 15 31
11.9 1 66 20 66
9.3 0 70 21 35
9.6 1 61 21 42
10 0 81 15 45
6.4 1 71 16 21
13.8 1 69 23 25
10.8 0 71 21 44
13.8 1 72 18 69
11.7 1 68 25 54
10.9 1 70 9 74
16.1 1 68 30 80
13.4 0 61 20 42
9.9 1 67 23 61
11.5 0 76 16 41
8.3 0 70 16 46
11.7 0 60 19 39
6.1 1 77 25 63
9 1 72 25 34
9.7 1 69 18 51
10.8 1 71 23 42
10.3 1 62 21 31
10.4 0 70 10 39
12.7 1 64 14 20
9.3 1 58 22 49
11.8 0 76 26 53
5.9 1 52 23 31
11.4 1 59 23 39
13 1 68 24 54
10.8 1 76 24 49
12.3 1 65 18 34
11.3 0 67 23 46
11.8 1 59 15 55
7.9 1 69 19 42
12.7 0 76 16 50
12.3 1 63 25 13
11.6 1 75 23 37
6.7 1 63 17 25
10.9 1 60 19 30
12.1 1 73 21 28
13.3 1 63 18 45
10.1 1 70 27 35
5.7 0 75 21 28
14.3 1 66 13 41
8 0 63 8 6
13.3 1 63 29 45
9.3 1 64 28 73
12.5 0 70 23 17
7.6 0 75 21 40
15.9 1 61 19 64
9.2 0 60 19 37
9.1 1 62 20 25
11.1 0 73 18 65
13 1 61 19 100
14.5 1 66 17 28
12.2 0 64 19 35
12.3 0 59 25 56
11.4 0 64 19 29
8.8 0 60 22 43
14.6 1 56 23 59
7.3 1 66 26 52
12.6 0 78 14 50
NA 1 53 28 3
13 0 67 16 59
12.6 1 59 24 27
13.2 0 66 20 61
9.9 0 68 12 28
7.7 1 71 24 51
10.5 0 66 22 35
13.4 0 73 12 29
10.9 0 72 22 48
4.3 1 71 20 25
10.3 0 59 10 44
11.8 1 64 23 64
11.2 1 66 17 32
11.4 0 78 22 20
8.6 0 68 24 28
13.2 0 73 18 34
12.6 1 62 21 31
5.6 1 65 20 26
9.9 1 68 20 58
8.8 0 65 22 23
7.7 1 60 19 21
9 0 71 20 21
7.3 1 65 26 33
11.4 1 68 23 16
13.6 1 64 24 20
7.9 1 74 21 37
10.7 1 69 21 35
10.3 0 76 19 33
8.3 1 68 8 27
9.6 1 72 17 41
14.2 1 67 20 40
8.5 0 63 11 35
13.5 0 59 8 28
4.9 0 73 15 32
6.4 0 66 18 22
9.6 0 62 18 44
11.6 0 69 19 27
11.1 1 66 19 17
4.35 1 51 23 12
12.7 1 56 22 45
18.1 1 67 21 37
17.85 1 69 25 37
16.6 0 57 30 108
12.6 1 56 17 10
17.1 1 55 27 68
19.1 0 63 23 72
16.1 1 67 23 143
13.35 0 65 18 9
18.4 0 47 18 55
14.7 1 76 23 17
10.6 1 64 19 37
12.6 1 68 15 27
16.2 1 64 20 37
13.6 1 65 16 58
18.9 1 71 24 66
14.1 1 63 25 21
14.5 1 60 25 19
16.15 0 68 19 78
14.75 1 72 19 35
14.8 1 70 16 48
12.45 1 61 19 27
12.65 1 61 19 43
17.35 1 62 23 30
8.6 1 71 21 25
18.4 0 71 22 69
16.1 1 51 19 72
11.6 1 56 20 23
17.75 1 70 20 13
15.25 1 73 3 61
17.65 1 76 23 43
15.6 0 59 14 22
16.35 0 68 23 51
17.65 0 48 20 67
13.6 1 52 15 36
11.7 0 59 13 21
14.35 0 60 16 44
14.75 0 59 7 45
18.25 1 57 24 34
9.9 0 79 17 36
16 1 60 24 72
18.25 1 60 24 39
16.85 0 59 19 43
14.6 1 62 25 25
13.85 1 59 20 56
18.95 1 61 28 80
15.6 0 71 23 40
14.85 0 57 27 73
11.75 0 66 18 34
18.45 0 63 28 72
15.9 1 69 21 42
17.1 0 58 19 61
16.1 1 59 23 23
19.9 0 48 27 74
10.95 1 66 22 16
18.45 0 73 28 66
15.1 1 67 25 9
15 0 61 21 41
11.35 0 68 22 57
15.95 1 75 28 48
18.1 0 62 20 51
14.6 1 69 29 53
15.4 1 58 25 29
15.4 1 60 25 29
17.6 1 74 20 55
13.35 1 55 20 54
19.1 0 62 16 43
15.35 1 63 20 51
7.6 0 69 20 20
13.4 0 58 23 79
13.9 0 58 18 39
19.1 1 68 25 61
15.25 0 72 18 55
12.9 1 62 19 30
16.1 0 62 25 55
17.35 0 65 25 22
13.15 0 69 25 37
12.15 0 66 24 2
12.6 1 72 19 38
10.35 1 62 26 27
15.4 1 75 10 56
9.6 1 58 17 25
18.2 0 66 13 39
13.6 0 55 17 33
14.85 1 47 30 43
14.75 0 72 25 57
14.1 0 62 4 43
14.9 0 64 16 23
16.25 0 64 21 44
19.25 1 19 23 54
13.6 1 50 22 28
13.6 0 68 17 36
15.65 0 70 20 39
12.75 1 79 20 16
14.6 0 69 22 23
9.85 1 71 16 40
12.65 1 48 23 24
11.9 1 66 16 29
19.2 0 73 0 78
16.6 1 74 18 57
11.2 1 66 25 37
15.25 1 71 23 27
11.9 0 74 12 61
13.2 0 78 18 27
16.35 0 75 24 69
12.4 1 53 11 34
15.85 1 60 18 44
14.35 0 50 14 21
18.15 1 70 23 34
11.15 1 69 24 39
15.65 0 65 29 51
17.75 0 78 18 34
7.65 0 78 15 31
12.35 1 59 29 13
15.6 1 72 16 12
19.3 0 70 19 51
15.2 0 63 22 24
17.1 0 63 16 19
15.6 1 71 23 30
18.4 1 74 23 81
19.05 0 67 19 42
18.55 0 66 4 22
19.1 0 62 20 85
13.1 1 80 24 27
12.85 1 73 20 25
9.5 1 67 4 22
4.5 1 61 24 19
11.85 0 73 22 14
13.6 1 74 16 45
11.7 1 32 3 45
12.4 1 69 15 28
13.35 0 69 24 51
11.4 0 84 17 41
14.9 1 64 20 31
19.9 0 58 27 74
17.75 1 60 23 24
11.2 1 59 26 19
14.6 1 78 23 51
17.6 0 57 17 73
14.05 1 60 20 24
16.1 0 68 22 61
13.35 1 68 19 23
11.85 1 73 24 14
11.95 0 69 19 54
14.75 1 67 23 51
15.15 0 60 15 62
13.2 1 65 27 36
16.85 0 66 26 59
7.85 1 74 22 24
7.7 0 81 22 26
12.6 0 72 18 54
7.85 1 55 15 39
10.95 1 49 22 16
12.35 0 74 27 36
9.95 1 53 10 31
14.9 1 64 20 31
16.65 0 65 17 42
13.4 1 57 23 39
13.95 0 51 19 25
15.7 0 80 13 31
16.85 1 67 27 38
10.95 1 70 23 31
15.35 0 74 16 17
12.2 1 75 25 22
15.1 0 70 2 55
17.75 0 69 26 62
15.2 1 65 20 51
14.6 0 55 23 30
16.65 0 71 22 49
8.1 1 65 24 16

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time9 seconds
R Server'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=265699&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=265699&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265699&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] = + 13.6842 -0.919663gender[t] -0.056238AMS.E[t] + 0.0594824NUMERACYTOT[t] + 0.0548733CH[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
TOT[t] =  +  13.6842 -0.919663gender[t] -0.056238AMS.E[t] +  0.0594824NUMERACYTOT[t] +  0.0548733CH[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265699&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]TOT[t] =  +  13.6842 -0.919663gender[t] -0.056238AMS.E[t] +  0.0594824NUMERACYTOT[t] +  0.0548733CH[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265699&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265699&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] = + 13.6842 -0.919663gender[t] -0.056238AMS.E[t] + 0.0594824NUMERACYTOT[t] + 0.0548733CH[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)13.68421.787227.6573.08509e-131.54255e-13
gender-0.9196630.392839-2.3410.01992780.00996391
AMS.E-0.0562380.0233926-2.4040.01686020.00843008
NUMERACYTOT0.05948240.03769241.5780.1156670.0578336
CH0.05487330.01005545.4571.06336e-075.31679e-08

\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) & 13.6842 & 1.78722 & 7.657 & 3.08509e-13 & 1.54255e-13 \tabularnewline
gender & -0.919663 & 0.392839 & -2.341 & 0.0199278 & 0.00996391 \tabularnewline
AMS.E & -0.056238 & 0.0233926 & -2.404 & 0.0168602 & 0.00843008 \tabularnewline
NUMERACYTOT & 0.0594824 & 0.0376924 & 1.578 & 0.115667 & 0.0578336 \tabularnewline
CH & 0.0548733 & 0.0100554 & 5.457 & 1.06336e-07 & 5.31679e-08 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265699&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]13.6842[/C][C]1.78722[/C][C]7.657[/C][C]3.08509e-13[/C][C]1.54255e-13[/C][/ROW]
[ROW][C]gender[/C][C]-0.919663[/C][C]0.392839[/C][C]-2.341[/C][C]0.0199278[/C][C]0.00996391[/C][/ROW]
[ROW][C]AMS.E[/C][C]-0.056238[/C][C]0.0233926[/C][C]-2.404[/C][C]0.0168602[/C][C]0.00843008[/C][/ROW]
[ROW][C]NUMERACYTOT[/C][C]0.0594824[/C][C]0.0376924[/C][C]1.578[/C][C]0.115667[/C][C]0.0578336[/C][/ROW]
[ROW][C]CH[/C][C]0.0548733[/C][C]0.0100554[/C][C]5.457[/C][C]1.06336e-07[/C][C]5.31679e-08[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265699&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265699&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)13.68421.787227.6573.08509e-131.54255e-13
gender-0.9196630.392839-2.3410.01992780.00996391
AMS.E-0.0562380.0233926-2.4040.01686020.00843008
NUMERACYTOT0.05948240.03769241.5780.1156670.0578336
CH0.05487330.01005545.4571.06336e-075.31679e-08






Multiple Linear Regression - Regression Statistics
Multiple R0.380251
R-squared0.144591
Adjusted R-squared0.132414
F-TEST (value)11.8744
F-TEST (DF numerator)4
F-TEST (DF denominator)281
p-value6.29685e-09
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation3.18671
Sum Squared Residuals2853.59

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.380251 \tabularnewline
R-squared & 0.144591 \tabularnewline
Adjusted R-squared & 0.132414 \tabularnewline
F-TEST (value) & 11.8744 \tabularnewline
F-TEST (DF numerator) & 4 \tabularnewline
F-TEST (DF denominator) & 281 \tabularnewline
p-value & 6.29685e-09 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 3.18671 \tabularnewline
Sum Squared Residuals & 2853.59 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265699&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.380251[/C][/ROW]
[ROW][C]R-squared[/C][C]0.144591[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.132414[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]11.8744[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]4[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]281[/C][/ROW]
[ROW][C]p-value[/C][C]6.29685e-09[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]3.18671[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]2853.59[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265699&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265699&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 R0.380251
R-squared0.144591
Adjusted R-squared0.132414
F-TEST (value)11.8744
F-TEST (DF numerator)4
F-TEST (DF denominator)281
p-value6.29685e-09
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation3.18671
Sum Squared Residuals2853.59






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
112.915.8529-2.95285
27.414.4246-7.02463
312.212.7265-0.526492
412.813.7119-0.911946
57.413.2445-5.84451
66.712.9066-6.20664
712.612.6763-0.0763067
814.814.17070.629342
913.315.3741-2.07406
1011.113.4601-2.36009
118.213.7826-5.58255
1211.412.9954-1.5954
136.413.4584-7.05836
1410.611.2139-0.613859
151214.9891-2.98915
166.311.5797-5.27966
1711.312.2284-0.928411
1811.913.8642-1.96415
199.312.9173-3.61727
209.612.8879-3.28787
211012.4905-2.4905
226.410.8757-4.47574
2313.811.62412.17592
2410.813.3549-2.5549
2513.813.57240.227618
2611.713.3906-1.69061
2710.913.4239-2.52388
2816.115.11470.985271
2913.413.748-0.348048
309.913.712-3.812
3111.512.6117-1.11167
328.313.2235-4.92347
3311.713.5802-1.88018
346.113.3783-7.27833
35912.0682-3.06819
369.712.7534-3.05338
3710.812.4445-1.64445
3810.312.228-1.92802
3910.412.4825-2.08246
4012.711.09561.60444
419.313.5002-4.20018
4211.813.865-2.06498
435.912.9094-7.00937
4411.412.9547-1.55469
451313.3311-0.331129
4610.812.6069-1.80686
4712.312.04550.254518
4811.313.8086-2.50856
4911.813.3568-1.5568
507.912.319-4.419
5112.713.1055-0.405534
5212.311.4220.878005
5311.611.9451-0.345134
546.711.6046-4.90462
5510.912.1667-1.26666
5612.111.44480.655215
5713.312.76160.538436
5810.112.3545-2.25451
595.712.252-6.55197
6014.312.07592.22406
61810.9463-2.94634
6213.313.4159-0.115871
639.314.8366-5.5366
6412.512.04850.45148
657.612.9105-5.31045
6615.913.97611.92388
679.213.4704-4.27044
689.111.8393-2.7393
6911.114.2163-3.11631
701315.9516-2.95155
7114.511.60052.89948
7212.213.1357-0.935738
7312.314.9262-2.62616
7411.412.8065-1.4065
758.813.9781-5.17812
7614.614.22090.379131
777.313.4528-6.15282
7812.612.8741-0.274093
79NANA-1.10554
801312.75570.244309
8112.613.9095-1.30945
8213.215.4103-2.2103
839.915.1978-5.29779
847.710.4017-2.70171
8510.58.983981.51602
8613.416.0776-2.67763
8710.917.9332-7.03316
884.37.37545-3.07545
8910.312.5453-2.24533
9011.812.42-0.620015
9111.211.5038-0.303753
9211.415.6241-4.22409
938.67.915240.68476
9413.212.8280.371977
9512.618.7255-6.12546
965.69.01269-3.41269
979.913.6995-3.79947
988.812.7728-3.9728
997.710.7333-3.03333
100914.1665-5.16647
1017.37.086460.21354
10211.49.490391.90961
10313.617.5824-3.98241
1047.99.25385-1.35385
10510.712.7511-2.05114
10610.312.8978-2.59783
1078.310.6764-2.37645
1089.67.781211.81879
10914.218.4161-4.21612
1108.57.378511.12149
11113.520.827-7.32705
1124.910.7504-5.85043
1136.410.4826-4.08259
1149.610.4156-0.815561
11511.611.6159-0.0158799
11611.118.673-7.57301
1174.355.04316-0.69316
11812.76.876075.82393
11918.112.65155.44847
12017.8519.4395-1.58946
12116.615.17521.42482
12212.610.50892.0911
12317.113.46023.63978
12419.121.2116-2.11161
12516.114.34331.75669
12613.3510.07983.27023
12718.414.49143.90857
12814.716.4258-1.72582
12910.69.314211.28579
13012.68.78533.8147
13116.215.84350.356524
13213.68.520895.07911
13318.916.6612.23902
13414.111.51992.58005
13514.513.62030.879662
13616.1513.16622.98383
13714.7512.36362.38645
13814.814.29580.504197
13912.4512.6238-0.173776
14012.657.592115.05789
14117.3520.1426-2.79264
1428.64.986213.61379
14318.417.27751.12252
14416.116.567-0.466982
14511.64.580927.01908
14617.7514.68493.06508
14715.259.818145.43186
14817.6514.45623.19384
14915.613.27672.32331
15016.3514.5511.79903
15117.6516.75790.892125
15213.614.1918-0.591807
15311.711.02610.673897
15414.3512.85191.49813
15514.759.352285.39772
15618.2520.5781-2.32808
1579.98.668751.23125
1581610.70795.29207
15918.2515.25592.99409
16016.8514.38672.46329
16114.614.45910.140912
16213.8510.28943.56057
16318.9516.60442.34563
16415.616.8404-1.24045
16514.8516.0089-1.15891
16611.759.057632.69237
16718.4514.9883.46204
16815.913.69992.20013
16917.113.07674.02328
17016.112.85153.24853
17119.920.1895-0.289454
17210.957.366013.58399
17318.4514.32764.12245
17415.113.85271.24734
1751517.9464-2.94645
17611.358.246153.10385
17715.9512.03573.91433
17818.117.01741.08257
17914.611.78122.81884
18015.412.46872.93132
18115.410.61064.78936
18217.618.0743-0.474293
18313.357.758755.59125
18419.116.95982.14023
18515.3519.8409-4.49093
1867.610.3255-2.72552
18713.413.13320.266823
18813.98.574725.32528
18919.117.57381.52618
19015.2514.40420.845815
19112.911.50261.39743
19216.111.4734.62696
19317.3517.5212-0.171189
19413.1512.50990.640145
19512.1511.48080.669209
19612.614.5559-1.95594
19710.357.164453.18555
19815.417.6858-2.28581
1999.64.285865.31414
20018.218.01320.186831
20113.613.01540.584585
20214.8514.34990.500059
20314.7513.4451.30504
20414.111.49882.60119
20514.912.39862.50144
20616.2513.02733.22269
20719.2518.44770.802258
20813.612.84670.753306
20913.611.02732.57271
21015.6513.28942.36061
21112.7510.52452.22548
21214.616.6683-2.06833
2139.859.95021-0.100207
21412.6512.34590.304088
21511.96.558985.34102
21619.215.40143.79857
21716.617.9702-1.37024
21811.27.571353.62865
21915.2516.9337-1.68369
22011.910.54991.35006
22113.211.53021.66978
22216.3516.2540.0960391
22312.49.42542.9746
22415.8514.35741.49257
22514.358.26176.0883
22618.1519.4518-1.30179
22711.1510.05231.0977
22815.6510.13415.51595
22917.7521.991-4.24098
2307.657.184880.465123
23112.357.075645.27436
23215.69.976285.62372
23319.316.86682.43318
23415.210.23564.96444
23517.113.2863.81403
23615.611.61583.9842
23718.412.70115.69886
23819.0511.91777.13233
23918.5515.50143.04864
24019.117.17471.92531
24113.111.47071.62932
24212.8513.7918-0.941772
2439.516.8042-7.30423
2444.54.30570.194296
24511.8510.2741.57602
24613.615.5127-1.91271
24711.710.61281.08716
24812.413.0799-0.679933
24913.3514.1713-0.821253
25011.48.556062.84394
25114.911.08913.81092
25219.914.22545.67465
25317.7518.5857-0.83567
25411.29.144652.05535
25514.612.49562.10437
25617.615.44692.1531
25714.0512.46591.58406
25816.114.08262.01736
25913.3512.3550.994994
26011.8513.7971-1.94714
26111.9510.36331.58674
26214.7514.20430.54566
26315.1514.64060.50943
26413.211.10662.0934
26516.8520.2285-3.37854
2667.8512.0143-4.16428
2677.78.76894-1.06894
26812.617.4538-4.85378
2697.859.0955-1.2455
27010.9511.7041-0.754091
27112.3514.4799-2.12986
2729.957.106062.84394
27314.911.59463.30535
27416.6516.31720.332835
27513.412.76810.631901
27613.959.909544.04046
27715.711.53784.16216
27816.8517.7971-0.947084
27910.957.007193.94281
28015.3514.3910.959001
28112.29.984572.21543
28215.112.10252.9975
28317.7515.64732.10271
28415.214.20540.994557
28514.611.63872.96125
28616.6519.9647-3.31466
2878.1NANA

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 12.9 & 15.8529 & -2.95285 \tabularnewline
2 & 7.4 & 14.4246 & -7.02463 \tabularnewline
3 & 12.2 & 12.7265 & -0.526492 \tabularnewline
4 & 12.8 & 13.7119 & -0.911946 \tabularnewline
5 & 7.4 & 13.2445 & -5.84451 \tabularnewline
6 & 6.7 & 12.9066 & -6.20664 \tabularnewline
7 & 12.6 & 12.6763 & -0.0763067 \tabularnewline
8 & 14.8 & 14.1707 & 0.629342 \tabularnewline
9 & 13.3 & 15.3741 & -2.07406 \tabularnewline
10 & 11.1 & 13.4601 & -2.36009 \tabularnewline
11 & 8.2 & 13.7826 & -5.58255 \tabularnewline
12 & 11.4 & 12.9954 & -1.5954 \tabularnewline
13 & 6.4 & 13.4584 & -7.05836 \tabularnewline
14 & 10.6 & 11.2139 & -0.613859 \tabularnewline
15 & 12 & 14.9891 & -2.98915 \tabularnewline
16 & 6.3 & 11.5797 & -5.27966 \tabularnewline
17 & 11.3 & 12.2284 & -0.928411 \tabularnewline
18 & 11.9 & 13.8642 & -1.96415 \tabularnewline
19 & 9.3 & 12.9173 & -3.61727 \tabularnewline
20 & 9.6 & 12.8879 & -3.28787 \tabularnewline
21 & 10 & 12.4905 & -2.4905 \tabularnewline
22 & 6.4 & 10.8757 & -4.47574 \tabularnewline
23 & 13.8 & 11.6241 & 2.17592 \tabularnewline
24 & 10.8 & 13.3549 & -2.5549 \tabularnewline
25 & 13.8 & 13.5724 & 0.227618 \tabularnewline
26 & 11.7 & 13.3906 & -1.69061 \tabularnewline
27 & 10.9 & 13.4239 & -2.52388 \tabularnewline
28 & 16.1 & 15.1147 & 0.985271 \tabularnewline
29 & 13.4 & 13.748 & -0.348048 \tabularnewline
30 & 9.9 & 13.712 & -3.812 \tabularnewline
31 & 11.5 & 12.6117 & -1.11167 \tabularnewline
32 & 8.3 & 13.2235 & -4.92347 \tabularnewline
33 & 11.7 & 13.5802 & -1.88018 \tabularnewline
34 & 6.1 & 13.3783 & -7.27833 \tabularnewline
35 & 9 & 12.0682 & -3.06819 \tabularnewline
36 & 9.7 & 12.7534 & -3.05338 \tabularnewline
37 & 10.8 & 12.4445 & -1.64445 \tabularnewline
38 & 10.3 & 12.228 & -1.92802 \tabularnewline
39 & 10.4 & 12.4825 & -2.08246 \tabularnewline
40 & 12.7 & 11.0956 & 1.60444 \tabularnewline
41 & 9.3 & 13.5002 & -4.20018 \tabularnewline
42 & 11.8 & 13.865 & -2.06498 \tabularnewline
43 & 5.9 & 12.9094 & -7.00937 \tabularnewline
44 & 11.4 & 12.9547 & -1.55469 \tabularnewline
45 & 13 & 13.3311 & -0.331129 \tabularnewline
46 & 10.8 & 12.6069 & -1.80686 \tabularnewline
47 & 12.3 & 12.0455 & 0.254518 \tabularnewline
48 & 11.3 & 13.8086 & -2.50856 \tabularnewline
49 & 11.8 & 13.3568 & -1.5568 \tabularnewline
50 & 7.9 & 12.319 & -4.419 \tabularnewline
51 & 12.7 & 13.1055 & -0.405534 \tabularnewline
52 & 12.3 & 11.422 & 0.878005 \tabularnewline
53 & 11.6 & 11.9451 & -0.345134 \tabularnewline
54 & 6.7 & 11.6046 & -4.90462 \tabularnewline
55 & 10.9 & 12.1667 & -1.26666 \tabularnewline
56 & 12.1 & 11.4448 & 0.655215 \tabularnewline
57 & 13.3 & 12.7616 & 0.538436 \tabularnewline
58 & 10.1 & 12.3545 & -2.25451 \tabularnewline
59 & 5.7 & 12.252 & -6.55197 \tabularnewline
60 & 14.3 & 12.0759 & 2.22406 \tabularnewline
61 & 8 & 10.9463 & -2.94634 \tabularnewline
62 & 13.3 & 13.4159 & -0.115871 \tabularnewline
63 & 9.3 & 14.8366 & -5.5366 \tabularnewline
64 & 12.5 & 12.0485 & 0.45148 \tabularnewline
65 & 7.6 & 12.9105 & -5.31045 \tabularnewline
66 & 15.9 & 13.9761 & 1.92388 \tabularnewline
67 & 9.2 & 13.4704 & -4.27044 \tabularnewline
68 & 9.1 & 11.8393 & -2.7393 \tabularnewline
69 & 11.1 & 14.2163 & -3.11631 \tabularnewline
70 & 13 & 15.9516 & -2.95155 \tabularnewline
71 & 14.5 & 11.6005 & 2.89948 \tabularnewline
72 & 12.2 & 13.1357 & -0.935738 \tabularnewline
73 & 12.3 & 14.9262 & -2.62616 \tabularnewline
74 & 11.4 & 12.8065 & -1.4065 \tabularnewline
75 & 8.8 & 13.9781 & -5.17812 \tabularnewline
76 & 14.6 & 14.2209 & 0.379131 \tabularnewline
77 & 7.3 & 13.4528 & -6.15282 \tabularnewline
78 & 12.6 & 12.8741 & -0.274093 \tabularnewline
79 & NA & NA & -1.10554 \tabularnewline
80 & 13 & 12.7557 & 0.244309 \tabularnewline
81 & 12.6 & 13.9095 & -1.30945 \tabularnewline
82 & 13.2 & 15.4103 & -2.2103 \tabularnewline
83 & 9.9 & 15.1978 & -5.29779 \tabularnewline
84 & 7.7 & 10.4017 & -2.70171 \tabularnewline
85 & 10.5 & 8.98398 & 1.51602 \tabularnewline
86 & 13.4 & 16.0776 & -2.67763 \tabularnewline
87 & 10.9 & 17.9332 & -7.03316 \tabularnewline
88 & 4.3 & 7.37545 & -3.07545 \tabularnewline
89 & 10.3 & 12.5453 & -2.24533 \tabularnewline
90 & 11.8 & 12.42 & -0.620015 \tabularnewline
91 & 11.2 & 11.5038 & -0.303753 \tabularnewline
92 & 11.4 & 15.6241 & -4.22409 \tabularnewline
93 & 8.6 & 7.91524 & 0.68476 \tabularnewline
94 & 13.2 & 12.828 & 0.371977 \tabularnewline
95 & 12.6 & 18.7255 & -6.12546 \tabularnewline
96 & 5.6 & 9.01269 & -3.41269 \tabularnewline
97 & 9.9 & 13.6995 & -3.79947 \tabularnewline
98 & 8.8 & 12.7728 & -3.9728 \tabularnewline
99 & 7.7 & 10.7333 & -3.03333 \tabularnewline
100 & 9 & 14.1665 & -5.16647 \tabularnewline
101 & 7.3 & 7.08646 & 0.21354 \tabularnewline
102 & 11.4 & 9.49039 & 1.90961 \tabularnewline
103 & 13.6 & 17.5824 & -3.98241 \tabularnewline
104 & 7.9 & 9.25385 & -1.35385 \tabularnewline
105 & 10.7 & 12.7511 & -2.05114 \tabularnewline
106 & 10.3 & 12.8978 & -2.59783 \tabularnewline
107 & 8.3 & 10.6764 & -2.37645 \tabularnewline
108 & 9.6 & 7.78121 & 1.81879 \tabularnewline
109 & 14.2 & 18.4161 & -4.21612 \tabularnewline
110 & 8.5 & 7.37851 & 1.12149 \tabularnewline
111 & 13.5 & 20.827 & -7.32705 \tabularnewline
112 & 4.9 & 10.7504 & -5.85043 \tabularnewline
113 & 6.4 & 10.4826 & -4.08259 \tabularnewline
114 & 9.6 & 10.4156 & -0.815561 \tabularnewline
115 & 11.6 & 11.6159 & -0.0158799 \tabularnewline
116 & 11.1 & 18.673 & -7.57301 \tabularnewline
117 & 4.35 & 5.04316 & -0.69316 \tabularnewline
118 & 12.7 & 6.87607 & 5.82393 \tabularnewline
119 & 18.1 & 12.6515 & 5.44847 \tabularnewline
120 & 17.85 & 19.4395 & -1.58946 \tabularnewline
121 & 16.6 & 15.1752 & 1.42482 \tabularnewline
122 & 12.6 & 10.5089 & 2.0911 \tabularnewline
123 & 17.1 & 13.4602 & 3.63978 \tabularnewline
124 & 19.1 & 21.2116 & -2.11161 \tabularnewline
125 & 16.1 & 14.3433 & 1.75669 \tabularnewline
126 & 13.35 & 10.0798 & 3.27023 \tabularnewline
127 & 18.4 & 14.4914 & 3.90857 \tabularnewline
128 & 14.7 & 16.4258 & -1.72582 \tabularnewline
129 & 10.6 & 9.31421 & 1.28579 \tabularnewline
130 & 12.6 & 8.7853 & 3.8147 \tabularnewline
131 & 16.2 & 15.8435 & 0.356524 \tabularnewline
132 & 13.6 & 8.52089 & 5.07911 \tabularnewline
133 & 18.9 & 16.661 & 2.23902 \tabularnewline
134 & 14.1 & 11.5199 & 2.58005 \tabularnewline
135 & 14.5 & 13.6203 & 0.879662 \tabularnewline
136 & 16.15 & 13.1662 & 2.98383 \tabularnewline
137 & 14.75 & 12.3636 & 2.38645 \tabularnewline
138 & 14.8 & 14.2958 & 0.504197 \tabularnewline
139 & 12.45 & 12.6238 & -0.173776 \tabularnewline
140 & 12.65 & 7.59211 & 5.05789 \tabularnewline
141 & 17.35 & 20.1426 & -2.79264 \tabularnewline
142 & 8.6 & 4.98621 & 3.61379 \tabularnewline
143 & 18.4 & 17.2775 & 1.12252 \tabularnewline
144 & 16.1 & 16.567 & -0.466982 \tabularnewline
145 & 11.6 & 4.58092 & 7.01908 \tabularnewline
146 & 17.75 & 14.6849 & 3.06508 \tabularnewline
147 & 15.25 & 9.81814 & 5.43186 \tabularnewline
148 & 17.65 & 14.4562 & 3.19384 \tabularnewline
149 & 15.6 & 13.2767 & 2.32331 \tabularnewline
150 & 16.35 & 14.551 & 1.79903 \tabularnewline
151 & 17.65 & 16.7579 & 0.892125 \tabularnewline
152 & 13.6 & 14.1918 & -0.591807 \tabularnewline
153 & 11.7 & 11.0261 & 0.673897 \tabularnewline
154 & 14.35 & 12.8519 & 1.49813 \tabularnewline
155 & 14.75 & 9.35228 & 5.39772 \tabularnewline
156 & 18.25 & 20.5781 & -2.32808 \tabularnewline
157 & 9.9 & 8.66875 & 1.23125 \tabularnewline
158 & 16 & 10.7079 & 5.29207 \tabularnewline
159 & 18.25 & 15.2559 & 2.99409 \tabularnewline
160 & 16.85 & 14.3867 & 2.46329 \tabularnewline
161 & 14.6 & 14.4591 & 0.140912 \tabularnewline
162 & 13.85 & 10.2894 & 3.56057 \tabularnewline
163 & 18.95 & 16.6044 & 2.34563 \tabularnewline
164 & 15.6 & 16.8404 & -1.24045 \tabularnewline
165 & 14.85 & 16.0089 & -1.15891 \tabularnewline
166 & 11.75 & 9.05763 & 2.69237 \tabularnewline
167 & 18.45 & 14.988 & 3.46204 \tabularnewline
168 & 15.9 & 13.6999 & 2.20013 \tabularnewline
169 & 17.1 & 13.0767 & 4.02328 \tabularnewline
170 & 16.1 & 12.8515 & 3.24853 \tabularnewline
171 & 19.9 & 20.1895 & -0.289454 \tabularnewline
172 & 10.95 & 7.36601 & 3.58399 \tabularnewline
173 & 18.45 & 14.3276 & 4.12245 \tabularnewline
174 & 15.1 & 13.8527 & 1.24734 \tabularnewline
175 & 15 & 17.9464 & -2.94645 \tabularnewline
176 & 11.35 & 8.24615 & 3.10385 \tabularnewline
177 & 15.95 & 12.0357 & 3.91433 \tabularnewline
178 & 18.1 & 17.0174 & 1.08257 \tabularnewline
179 & 14.6 & 11.7812 & 2.81884 \tabularnewline
180 & 15.4 & 12.4687 & 2.93132 \tabularnewline
181 & 15.4 & 10.6106 & 4.78936 \tabularnewline
182 & 17.6 & 18.0743 & -0.474293 \tabularnewline
183 & 13.35 & 7.75875 & 5.59125 \tabularnewline
184 & 19.1 & 16.9598 & 2.14023 \tabularnewline
185 & 15.35 & 19.8409 & -4.49093 \tabularnewline
186 & 7.6 & 10.3255 & -2.72552 \tabularnewline
187 & 13.4 & 13.1332 & 0.266823 \tabularnewline
188 & 13.9 & 8.57472 & 5.32528 \tabularnewline
189 & 19.1 & 17.5738 & 1.52618 \tabularnewline
190 & 15.25 & 14.4042 & 0.845815 \tabularnewline
191 & 12.9 & 11.5026 & 1.39743 \tabularnewline
192 & 16.1 & 11.473 & 4.62696 \tabularnewline
193 & 17.35 & 17.5212 & -0.171189 \tabularnewline
194 & 13.15 & 12.5099 & 0.640145 \tabularnewline
195 & 12.15 & 11.4808 & 0.669209 \tabularnewline
196 & 12.6 & 14.5559 & -1.95594 \tabularnewline
197 & 10.35 & 7.16445 & 3.18555 \tabularnewline
198 & 15.4 & 17.6858 & -2.28581 \tabularnewline
199 & 9.6 & 4.28586 & 5.31414 \tabularnewline
200 & 18.2 & 18.0132 & 0.186831 \tabularnewline
201 & 13.6 & 13.0154 & 0.584585 \tabularnewline
202 & 14.85 & 14.3499 & 0.500059 \tabularnewline
203 & 14.75 & 13.445 & 1.30504 \tabularnewline
204 & 14.1 & 11.4988 & 2.60119 \tabularnewline
205 & 14.9 & 12.3986 & 2.50144 \tabularnewline
206 & 16.25 & 13.0273 & 3.22269 \tabularnewline
207 & 19.25 & 18.4477 & 0.802258 \tabularnewline
208 & 13.6 & 12.8467 & 0.753306 \tabularnewline
209 & 13.6 & 11.0273 & 2.57271 \tabularnewline
210 & 15.65 & 13.2894 & 2.36061 \tabularnewline
211 & 12.75 & 10.5245 & 2.22548 \tabularnewline
212 & 14.6 & 16.6683 & -2.06833 \tabularnewline
213 & 9.85 & 9.95021 & -0.100207 \tabularnewline
214 & 12.65 & 12.3459 & 0.304088 \tabularnewline
215 & 11.9 & 6.55898 & 5.34102 \tabularnewline
216 & 19.2 & 15.4014 & 3.79857 \tabularnewline
217 & 16.6 & 17.9702 & -1.37024 \tabularnewline
218 & 11.2 & 7.57135 & 3.62865 \tabularnewline
219 & 15.25 & 16.9337 & -1.68369 \tabularnewline
220 & 11.9 & 10.5499 & 1.35006 \tabularnewline
221 & 13.2 & 11.5302 & 1.66978 \tabularnewline
222 & 16.35 & 16.254 & 0.0960391 \tabularnewline
223 & 12.4 & 9.4254 & 2.9746 \tabularnewline
224 & 15.85 & 14.3574 & 1.49257 \tabularnewline
225 & 14.35 & 8.2617 & 6.0883 \tabularnewline
226 & 18.15 & 19.4518 & -1.30179 \tabularnewline
227 & 11.15 & 10.0523 & 1.0977 \tabularnewline
228 & 15.65 & 10.1341 & 5.51595 \tabularnewline
229 & 17.75 & 21.991 & -4.24098 \tabularnewline
230 & 7.65 & 7.18488 & 0.465123 \tabularnewline
231 & 12.35 & 7.07564 & 5.27436 \tabularnewline
232 & 15.6 & 9.97628 & 5.62372 \tabularnewline
233 & 19.3 & 16.8668 & 2.43318 \tabularnewline
234 & 15.2 & 10.2356 & 4.96444 \tabularnewline
235 & 17.1 & 13.286 & 3.81403 \tabularnewline
236 & 15.6 & 11.6158 & 3.9842 \tabularnewline
237 & 18.4 & 12.7011 & 5.69886 \tabularnewline
238 & 19.05 & 11.9177 & 7.13233 \tabularnewline
239 & 18.55 & 15.5014 & 3.04864 \tabularnewline
240 & 19.1 & 17.1747 & 1.92531 \tabularnewline
241 & 13.1 & 11.4707 & 1.62932 \tabularnewline
242 & 12.85 & 13.7918 & -0.941772 \tabularnewline
243 & 9.5 & 16.8042 & -7.30423 \tabularnewline
244 & 4.5 & 4.3057 & 0.194296 \tabularnewline
245 & 11.85 & 10.274 & 1.57602 \tabularnewline
246 & 13.6 & 15.5127 & -1.91271 \tabularnewline
247 & 11.7 & 10.6128 & 1.08716 \tabularnewline
248 & 12.4 & 13.0799 & -0.679933 \tabularnewline
249 & 13.35 & 14.1713 & -0.821253 \tabularnewline
250 & 11.4 & 8.55606 & 2.84394 \tabularnewline
251 & 14.9 & 11.0891 & 3.81092 \tabularnewline
252 & 19.9 & 14.2254 & 5.67465 \tabularnewline
253 & 17.75 & 18.5857 & -0.83567 \tabularnewline
254 & 11.2 & 9.14465 & 2.05535 \tabularnewline
255 & 14.6 & 12.4956 & 2.10437 \tabularnewline
256 & 17.6 & 15.4469 & 2.1531 \tabularnewline
257 & 14.05 & 12.4659 & 1.58406 \tabularnewline
258 & 16.1 & 14.0826 & 2.01736 \tabularnewline
259 & 13.35 & 12.355 & 0.994994 \tabularnewline
260 & 11.85 & 13.7971 & -1.94714 \tabularnewline
261 & 11.95 & 10.3633 & 1.58674 \tabularnewline
262 & 14.75 & 14.2043 & 0.54566 \tabularnewline
263 & 15.15 & 14.6406 & 0.50943 \tabularnewline
264 & 13.2 & 11.1066 & 2.0934 \tabularnewline
265 & 16.85 & 20.2285 & -3.37854 \tabularnewline
266 & 7.85 & 12.0143 & -4.16428 \tabularnewline
267 & 7.7 & 8.76894 & -1.06894 \tabularnewline
268 & 12.6 & 17.4538 & -4.85378 \tabularnewline
269 & 7.85 & 9.0955 & -1.2455 \tabularnewline
270 & 10.95 & 11.7041 & -0.754091 \tabularnewline
271 & 12.35 & 14.4799 & -2.12986 \tabularnewline
272 & 9.95 & 7.10606 & 2.84394 \tabularnewline
273 & 14.9 & 11.5946 & 3.30535 \tabularnewline
274 & 16.65 & 16.3172 & 0.332835 \tabularnewline
275 & 13.4 & 12.7681 & 0.631901 \tabularnewline
276 & 13.95 & 9.90954 & 4.04046 \tabularnewline
277 & 15.7 & 11.5378 & 4.16216 \tabularnewline
278 & 16.85 & 17.7971 & -0.947084 \tabularnewline
279 & 10.95 & 7.00719 & 3.94281 \tabularnewline
280 & 15.35 & 14.391 & 0.959001 \tabularnewline
281 & 12.2 & 9.98457 & 2.21543 \tabularnewline
282 & 15.1 & 12.1025 & 2.9975 \tabularnewline
283 & 17.75 & 15.6473 & 2.10271 \tabularnewline
284 & 15.2 & 14.2054 & 0.994557 \tabularnewline
285 & 14.6 & 11.6387 & 2.96125 \tabularnewline
286 & 16.65 & 19.9647 & -3.31466 \tabularnewline
287 & 8.1 & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265699&T=4

[TABLE]
[ROW][C]Multiple Linear Regression - Actuals, Interpolation, and Residuals[/C][/ROW]
[ROW][C]Time or Index[/C][C]Actuals[/C][C]InterpolationForecast[/C][C]ResidualsPrediction Error[/C][/ROW]
[ROW][C]1[/C][C]12.9[/C][C]15.8529[/C][C]-2.95285[/C][/ROW]
[ROW][C]2[/C][C]7.4[/C][C]14.4246[/C][C]-7.02463[/C][/ROW]
[ROW][C]3[/C][C]12.2[/C][C]12.7265[/C][C]-0.526492[/C][/ROW]
[ROW][C]4[/C][C]12.8[/C][C]13.7119[/C][C]-0.911946[/C][/ROW]
[ROW][C]5[/C][C]7.4[/C][C]13.2445[/C][C]-5.84451[/C][/ROW]
[ROW][C]6[/C][C]6.7[/C][C]12.9066[/C][C]-6.20664[/C][/ROW]
[ROW][C]7[/C][C]12.6[/C][C]12.6763[/C][C]-0.0763067[/C][/ROW]
[ROW][C]8[/C][C]14.8[/C][C]14.1707[/C][C]0.629342[/C][/ROW]
[ROW][C]9[/C][C]13.3[/C][C]15.3741[/C][C]-2.07406[/C][/ROW]
[ROW][C]10[/C][C]11.1[/C][C]13.4601[/C][C]-2.36009[/C][/ROW]
[ROW][C]11[/C][C]8.2[/C][C]13.7826[/C][C]-5.58255[/C][/ROW]
[ROW][C]12[/C][C]11.4[/C][C]12.9954[/C][C]-1.5954[/C][/ROW]
[ROW][C]13[/C][C]6.4[/C][C]13.4584[/C][C]-7.05836[/C][/ROW]
[ROW][C]14[/C][C]10.6[/C][C]11.2139[/C][C]-0.613859[/C][/ROW]
[ROW][C]15[/C][C]12[/C][C]14.9891[/C][C]-2.98915[/C][/ROW]
[ROW][C]16[/C][C]6.3[/C][C]11.5797[/C][C]-5.27966[/C][/ROW]
[ROW][C]17[/C][C]11.3[/C][C]12.2284[/C][C]-0.928411[/C][/ROW]
[ROW][C]18[/C][C]11.9[/C][C]13.8642[/C][C]-1.96415[/C][/ROW]
[ROW][C]19[/C][C]9.3[/C][C]12.9173[/C][C]-3.61727[/C][/ROW]
[ROW][C]20[/C][C]9.6[/C][C]12.8879[/C][C]-3.28787[/C][/ROW]
[ROW][C]21[/C][C]10[/C][C]12.4905[/C][C]-2.4905[/C][/ROW]
[ROW][C]22[/C][C]6.4[/C][C]10.8757[/C][C]-4.47574[/C][/ROW]
[ROW][C]23[/C][C]13.8[/C][C]11.6241[/C][C]2.17592[/C][/ROW]
[ROW][C]24[/C][C]10.8[/C][C]13.3549[/C][C]-2.5549[/C][/ROW]
[ROW][C]25[/C][C]13.8[/C][C]13.5724[/C][C]0.227618[/C][/ROW]
[ROW][C]26[/C][C]11.7[/C][C]13.3906[/C][C]-1.69061[/C][/ROW]
[ROW][C]27[/C][C]10.9[/C][C]13.4239[/C][C]-2.52388[/C][/ROW]
[ROW][C]28[/C][C]16.1[/C][C]15.1147[/C][C]0.985271[/C][/ROW]
[ROW][C]29[/C][C]13.4[/C][C]13.748[/C][C]-0.348048[/C][/ROW]
[ROW][C]30[/C][C]9.9[/C][C]13.712[/C][C]-3.812[/C][/ROW]
[ROW][C]31[/C][C]11.5[/C][C]12.6117[/C][C]-1.11167[/C][/ROW]
[ROW][C]32[/C][C]8.3[/C][C]13.2235[/C][C]-4.92347[/C][/ROW]
[ROW][C]33[/C][C]11.7[/C][C]13.5802[/C][C]-1.88018[/C][/ROW]
[ROW][C]34[/C][C]6.1[/C][C]13.3783[/C][C]-7.27833[/C][/ROW]
[ROW][C]35[/C][C]9[/C][C]12.0682[/C][C]-3.06819[/C][/ROW]
[ROW][C]36[/C][C]9.7[/C][C]12.7534[/C][C]-3.05338[/C][/ROW]
[ROW][C]37[/C][C]10.8[/C][C]12.4445[/C][C]-1.64445[/C][/ROW]
[ROW][C]38[/C][C]10.3[/C][C]12.228[/C][C]-1.92802[/C][/ROW]
[ROW][C]39[/C][C]10.4[/C][C]12.4825[/C][C]-2.08246[/C][/ROW]
[ROW][C]40[/C][C]12.7[/C][C]11.0956[/C][C]1.60444[/C][/ROW]
[ROW][C]41[/C][C]9.3[/C][C]13.5002[/C][C]-4.20018[/C][/ROW]
[ROW][C]42[/C][C]11.8[/C][C]13.865[/C][C]-2.06498[/C][/ROW]
[ROW][C]43[/C][C]5.9[/C][C]12.9094[/C][C]-7.00937[/C][/ROW]
[ROW][C]44[/C][C]11.4[/C][C]12.9547[/C][C]-1.55469[/C][/ROW]
[ROW][C]45[/C][C]13[/C][C]13.3311[/C][C]-0.331129[/C][/ROW]
[ROW][C]46[/C][C]10.8[/C][C]12.6069[/C][C]-1.80686[/C][/ROW]
[ROW][C]47[/C][C]12.3[/C][C]12.0455[/C][C]0.254518[/C][/ROW]
[ROW][C]48[/C][C]11.3[/C][C]13.8086[/C][C]-2.50856[/C][/ROW]
[ROW][C]49[/C][C]11.8[/C][C]13.3568[/C][C]-1.5568[/C][/ROW]
[ROW][C]50[/C][C]7.9[/C][C]12.319[/C][C]-4.419[/C][/ROW]
[ROW][C]51[/C][C]12.7[/C][C]13.1055[/C][C]-0.405534[/C][/ROW]
[ROW][C]52[/C][C]12.3[/C][C]11.422[/C][C]0.878005[/C][/ROW]
[ROW][C]53[/C][C]11.6[/C][C]11.9451[/C][C]-0.345134[/C][/ROW]
[ROW][C]54[/C][C]6.7[/C][C]11.6046[/C][C]-4.90462[/C][/ROW]
[ROW][C]55[/C][C]10.9[/C][C]12.1667[/C][C]-1.26666[/C][/ROW]
[ROW][C]56[/C][C]12.1[/C][C]11.4448[/C][C]0.655215[/C][/ROW]
[ROW][C]57[/C][C]13.3[/C][C]12.7616[/C][C]0.538436[/C][/ROW]
[ROW][C]58[/C][C]10.1[/C][C]12.3545[/C][C]-2.25451[/C][/ROW]
[ROW][C]59[/C][C]5.7[/C][C]12.252[/C][C]-6.55197[/C][/ROW]
[ROW][C]60[/C][C]14.3[/C][C]12.0759[/C][C]2.22406[/C][/ROW]
[ROW][C]61[/C][C]8[/C][C]10.9463[/C][C]-2.94634[/C][/ROW]
[ROW][C]62[/C][C]13.3[/C][C]13.4159[/C][C]-0.115871[/C][/ROW]
[ROW][C]63[/C][C]9.3[/C][C]14.8366[/C][C]-5.5366[/C][/ROW]
[ROW][C]64[/C][C]12.5[/C][C]12.0485[/C][C]0.45148[/C][/ROW]
[ROW][C]65[/C][C]7.6[/C][C]12.9105[/C][C]-5.31045[/C][/ROW]
[ROW][C]66[/C][C]15.9[/C][C]13.9761[/C][C]1.92388[/C][/ROW]
[ROW][C]67[/C][C]9.2[/C][C]13.4704[/C][C]-4.27044[/C][/ROW]
[ROW][C]68[/C][C]9.1[/C][C]11.8393[/C][C]-2.7393[/C][/ROW]
[ROW][C]69[/C][C]11.1[/C][C]14.2163[/C][C]-3.11631[/C][/ROW]
[ROW][C]70[/C][C]13[/C][C]15.9516[/C][C]-2.95155[/C][/ROW]
[ROW][C]71[/C][C]14.5[/C][C]11.6005[/C][C]2.89948[/C][/ROW]
[ROW][C]72[/C][C]12.2[/C][C]13.1357[/C][C]-0.935738[/C][/ROW]
[ROW][C]73[/C][C]12.3[/C][C]14.9262[/C][C]-2.62616[/C][/ROW]
[ROW][C]74[/C][C]11.4[/C][C]12.8065[/C][C]-1.4065[/C][/ROW]
[ROW][C]75[/C][C]8.8[/C][C]13.9781[/C][C]-5.17812[/C][/ROW]
[ROW][C]76[/C][C]14.6[/C][C]14.2209[/C][C]0.379131[/C][/ROW]
[ROW][C]77[/C][C]7.3[/C][C]13.4528[/C][C]-6.15282[/C][/ROW]
[ROW][C]78[/C][C]12.6[/C][C]12.8741[/C][C]-0.274093[/C][/ROW]
[ROW][C]79[/C][C]NA[/C][C]NA[/C][C]-1.10554[/C][/ROW]
[ROW][C]80[/C][C]13[/C][C]12.7557[/C][C]0.244309[/C][/ROW]
[ROW][C]81[/C][C]12.6[/C][C]13.9095[/C][C]-1.30945[/C][/ROW]
[ROW][C]82[/C][C]13.2[/C][C]15.4103[/C][C]-2.2103[/C][/ROW]
[ROW][C]83[/C][C]9.9[/C][C]15.1978[/C][C]-5.29779[/C][/ROW]
[ROW][C]84[/C][C]7.7[/C][C]10.4017[/C][C]-2.70171[/C][/ROW]
[ROW][C]85[/C][C]10.5[/C][C]8.98398[/C][C]1.51602[/C][/ROW]
[ROW][C]86[/C][C]13.4[/C][C]16.0776[/C][C]-2.67763[/C][/ROW]
[ROW][C]87[/C][C]10.9[/C][C]17.9332[/C][C]-7.03316[/C][/ROW]
[ROW][C]88[/C][C]4.3[/C][C]7.37545[/C][C]-3.07545[/C][/ROW]
[ROW][C]89[/C][C]10.3[/C][C]12.5453[/C][C]-2.24533[/C][/ROW]
[ROW][C]90[/C][C]11.8[/C][C]12.42[/C][C]-0.620015[/C][/ROW]
[ROW][C]91[/C][C]11.2[/C][C]11.5038[/C][C]-0.303753[/C][/ROW]
[ROW][C]92[/C][C]11.4[/C][C]15.6241[/C][C]-4.22409[/C][/ROW]
[ROW][C]93[/C][C]8.6[/C][C]7.91524[/C][C]0.68476[/C][/ROW]
[ROW][C]94[/C][C]13.2[/C][C]12.828[/C][C]0.371977[/C][/ROW]
[ROW][C]95[/C][C]12.6[/C][C]18.7255[/C][C]-6.12546[/C][/ROW]
[ROW][C]96[/C][C]5.6[/C][C]9.01269[/C][C]-3.41269[/C][/ROW]
[ROW][C]97[/C][C]9.9[/C][C]13.6995[/C][C]-3.79947[/C][/ROW]
[ROW][C]98[/C][C]8.8[/C][C]12.7728[/C][C]-3.9728[/C][/ROW]
[ROW][C]99[/C][C]7.7[/C][C]10.7333[/C][C]-3.03333[/C][/ROW]
[ROW][C]100[/C][C]9[/C][C]14.1665[/C][C]-5.16647[/C][/ROW]
[ROW][C]101[/C][C]7.3[/C][C]7.08646[/C][C]0.21354[/C][/ROW]
[ROW][C]102[/C][C]11.4[/C][C]9.49039[/C][C]1.90961[/C][/ROW]
[ROW][C]103[/C][C]13.6[/C][C]17.5824[/C][C]-3.98241[/C][/ROW]
[ROW][C]104[/C][C]7.9[/C][C]9.25385[/C][C]-1.35385[/C][/ROW]
[ROW][C]105[/C][C]10.7[/C][C]12.7511[/C][C]-2.05114[/C][/ROW]
[ROW][C]106[/C][C]10.3[/C][C]12.8978[/C][C]-2.59783[/C][/ROW]
[ROW][C]107[/C][C]8.3[/C][C]10.6764[/C][C]-2.37645[/C][/ROW]
[ROW][C]108[/C][C]9.6[/C][C]7.78121[/C][C]1.81879[/C][/ROW]
[ROW][C]109[/C][C]14.2[/C][C]18.4161[/C][C]-4.21612[/C][/ROW]
[ROW][C]110[/C][C]8.5[/C][C]7.37851[/C][C]1.12149[/C][/ROW]
[ROW][C]111[/C][C]13.5[/C][C]20.827[/C][C]-7.32705[/C][/ROW]
[ROW][C]112[/C][C]4.9[/C][C]10.7504[/C][C]-5.85043[/C][/ROW]
[ROW][C]113[/C][C]6.4[/C][C]10.4826[/C][C]-4.08259[/C][/ROW]
[ROW][C]114[/C][C]9.6[/C][C]10.4156[/C][C]-0.815561[/C][/ROW]
[ROW][C]115[/C][C]11.6[/C][C]11.6159[/C][C]-0.0158799[/C][/ROW]
[ROW][C]116[/C][C]11.1[/C][C]18.673[/C][C]-7.57301[/C][/ROW]
[ROW][C]117[/C][C]4.35[/C][C]5.04316[/C][C]-0.69316[/C][/ROW]
[ROW][C]118[/C][C]12.7[/C][C]6.87607[/C][C]5.82393[/C][/ROW]
[ROW][C]119[/C][C]18.1[/C][C]12.6515[/C][C]5.44847[/C][/ROW]
[ROW][C]120[/C][C]17.85[/C][C]19.4395[/C][C]-1.58946[/C][/ROW]
[ROW][C]121[/C][C]16.6[/C][C]15.1752[/C][C]1.42482[/C][/ROW]
[ROW][C]122[/C][C]12.6[/C][C]10.5089[/C][C]2.0911[/C][/ROW]
[ROW][C]123[/C][C]17.1[/C][C]13.4602[/C][C]3.63978[/C][/ROW]
[ROW][C]124[/C][C]19.1[/C][C]21.2116[/C][C]-2.11161[/C][/ROW]
[ROW][C]125[/C][C]16.1[/C][C]14.3433[/C][C]1.75669[/C][/ROW]
[ROW][C]126[/C][C]13.35[/C][C]10.0798[/C][C]3.27023[/C][/ROW]
[ROW][C]127[/C][C]18.4[/C][C]14.4914[/C][C]3.90857[/C][/ROW]
[ROW][C]128[/C][C]14.7[/C][C]16.4258[/C][C]-1.72582[/C][/ROW]
[ROW][C]129[/C][C]10.6[/C][C]9.31421[/C][C]1.28579[/C][/ROW]
[ROW][C]130[/C][C]12.6[/C][C]8.7853[/C][C]3.8147[/C][/ROW]
[ROW][C]131[/C][C]16.2[/C][C]15.8435[/C][C]0.356524[/C][/ROW]
[ROW][C]132[/C][C]13.6[/C][C]8.52089[/C][C]5.07911[/C][/ROW]
[ROW][C]133[/C][C]18.9[/C][C]16.661[/C][C]2.23902[/C][/ROW]
[ROW][C]134[/C][C]14.1[/C][C]11.5199[/C][C]2.58005[/C][/ROW]
[ROW][C]135[/C][C]14.5[/C][C]13.6203[/C][C]0.879662[/C][/ROW]
[ROW][C]136[/C][C]16.15[/C][C]13.1662[/C][C]2.98383[/C][/ROW]
[ROW][C]137[/C][C]14.75[/C][C]12.3636[/C][C]2.38645[/C][/ROW]
[ROW][C]138[/C][C]14.8[/C][C]14.2958[/C][C]0.504197[/C][/ROW]
[ROW][C]139[/C][C]12.45[/C][C]12.6238[/C][C]-0.173776[/C][/ROW]
[ROW][C]140[/C][C]12.65[/C][C]7.59211[/C][C]5.05789[/C][/ROW]
[ROW][C]141[/C][C]17.35[/C][C]20.1426[/C][C]-2.79264[/C][/ROW]
[ROW][C]142[/C][C]8.6[/C][C]4.98621[/C][C]3.61379[/C][/ROW]
[ROW][C]143[/C][C]18.4[/C][C]17.2775[/C][C]1.12252[/C][/ROW]
[ROW][C]144[/C][C]16.1[/C][C]16.567[/C][C]-0.466982[/C][/ROW]
[ROW][C]145[/C][C]11.6[/C][C]4.58092[/C][C]7.01908[/C][/ROW]
[ROW][C]146[/C][C]17.75[/C][C]14.6849[/C][C]3.06508[/C][/ROW]
[ROW][C]147[/C][C]15.25[/C][C]9.81814[/C][C]5.43186[/C][/ROW]
[ROW][C]148[/C][C]17.65[/C][C]14.4562[/C][C]3.19384[/C][/ROW]
[ROW][C]149[/C][C]15.6[/C][C]13.2767[/C][C]2.32331[/C][/ROW]
[ROW][C]150[/C][C]16.35[/C][C]14.551[/C][C]1.79903[/C][/ROW]
[ROW][C]151[/C][C]17.65[/C][C]16.7579[/C][C]0.892125[/C][/ROW]
[ROW][C]152[/C][C]13.6[/C][C]14.1918[/C][C]-0.591807[/C][/ROW]
[ROW][C]153[/C][C]11.7[/C][C]11.0261[/C][C]0.673897[/C][/ROW]
[ROW][C]154[/C][C]14.35[/C][C]12.8519[/C][C]1.49813[/C][/ROW]
[ROW][C]155[/C][C]14.75[/C][C]9.35228[/C][C]5.39772[/C][/ROW]
[ROW][C]156[/C][C]18.25[/C][C]20.5781[/C][C]-2.32808[/C][/ROW]
[ROW][C]157[/C][C]9.9[/C][C]8.66875[/C][C]1.23125[/C][/ROW]
[ROW][C]158[/C][C]16[/C][C]10.7079[/C][C]5.29207[/C][/ROW]
[ROW][C]159[/C][C]18.25[/C][C]15.2559[/C][C]2.99409[/C][/ROW]
[ROW][C]160[/C][C]16.85[/C][C]14.3867[/C][C]2.46329[/C][/ROW]
[ROW][C]161[/C][C]14.6[/C][C]14.4591[/C][C]0.140912[/C][/ROW]
[ROW][C]162[/C][C]13.85[/C][C]10.2894[/C][C]3.56057[/C][/ROW]
[ROW][C]163[/C][C]18.95[/C][C]16.6044[/C][C]2.34563[/C][/ROW]
[ROW][C]164[/C][C]15.6[/C][C]16.8404[/C][C]-1.24045[/C][/ROW]
[ROW][C]165[/C][C]14.85[/C][C]16.0089[/C][C]-1.15891[/C][/ROW]
[ROW][C]166[/C][C]11.75[/C][C]9.05763[/C][C]2.69237[/C][/ROW]
[ROW][C]167[/C][C]18.45[/C][C]14.988[/C][C]3.46204[/C][/ROW]
[ROW][C]168[/C][C]15.9[/C][C]13.6999[/C][C]2.20013[/C][/ROW]
[ROW][C]169[/C][C]17.1[/C][C]13.0767[/C][C]4.02328[/C][/ROW]
[ROW][C]170[/C][C]16.1[/C][C]12.8515[/C][C]3.24853[/C][/ROW]
[ROW][C]171[/C][C]19.9[/C][C]20.1895[/C][C]-0.289454[/C][/ROW]
[ROW][C]172[/C][C]10.95[/C][C]7.36601[/C][C]3.58399[/C][/ROW]
[ROW][C]173[/C][C]18.45[/C][C]14.3276[/C][C]4.12245[/C][/ROW]
[ROW][C]174[/C][C]15.1[/C][C]13.8527[/C][C]1.24734[/C][/ROW]
[ROW][C]175[/C][C]15[/C][C]17.9464[/C][C]-2.94645[/C][/ROW]
[ROW][C]176[/C][C]11.35[/C][C]8.24615[/C][C]3.10385[/C][/ROW]
[ROW][C]177[/C][C]15.95[/C][C]12.0357[/C][C]3.91433[/C][/ROW]
[ROW][C]178[/C][C]18.1[/C][C]17.0174[/C][C]1.08257[/C][/ROW]
[ROW][C]179[/C][C]14.6[/C][C]11.7812[/C][C]2.81884[/C][/ROW]
[ROW][C]180[/C][C]15.4[/C][C]12.4687[/C][C]2.93132[/C][/ROW]
[ROW][C]181[/C][C]15.4[/C][C]10.6106[/C][C]4.78936[/C][/ROW]
[ROW][C]182[/C][C]17.6[/C][C]18.0743[/C][C]-0.474293[/C][/ROW]
[ROW][C]183[/C][C]13.35[/C][C]7.75875[/C][C]5.59125[/C][/ROW]
[ROW][C]184[/C][C]19.1[/C][C]16.9598[/C][C]2.14023[/C][/ROW]
[ROW][C]185[/C][C]15.35[/C][C]19.8409[/C][C]-4.49093[/C][/ROW]
[ROW][C]186[/C][C]7.6[/C][C]10.3255[/C][C]-2.72552[/C][/ROW]
[ROW][C]187[/C][C]13.4[/C][C]13.1332[/C][C]0.266823[/C][/ROW]
[ROW][C]188[/C][C]13.9[/C][C]8.57472[/C][C]5.32528[/C][/ROW]
[ROW][C]189[/C][C]19.1[/C][C]17.5738[/C][C]1.52618[/C][/ROW]
[ROW][C]190[/C][C]15.25[/C][C]14.4042[/C][C]0.845815[/C][/ROW]
[ROW][C]191[/C][C]12.9[/C][C]11.5026[/C][C]1.39743[/C][/ROW]
[ROW][C]192[/C][C]16.1[/C][C]11.473[/C][C]4.62696[/C][/ROW]
[ROW][C]193[/C][C]17.35[/C][C]17.5212[/C][C]-0.171189[/C][/ROW]
[ROW][C]194[/C][C]13.15[/C][C]12.5099[/C][C]0.640145[/C][/ROW]
[ROW][C]195[/C][C]12.15[/C][C]11.4808[/C][C]0.669209[/C][/ROW]
[ROW][C]196[/C][C]12.6[/C][C]14.5559[/C][C]-1.95594[/C][/ROW]
[ROW][C]197[/C][C]10.35[/C][C]7.16445[/C][C]3.18555[/C][/ROW]
[ROW][C]198[/C][C]15.4[/C][C]17.6858[/C][C]-2.28581[/C][/ROW]
[ROW][C]199[/C][C]9.6[/C][C]4.28586[/C][C]5.31414[/C][/ROW]
[ROW][C]200[/C][C]18.2[/C][C]18.0132[/C][C]0.186831[/C][/ROW]
[ROW][C]201[/C][C]13.6[/C][C]13.0154[/C][C]0.584585[/C][/ROW]
[ROW][C]202[/C][C]14.85[/C][C]14.3499[/C][C]0.500059[/C][/ROW]
[ROW][C]203[/C][C]14.75[/C][C]13.445[/C][C]1.30504[/C][/ROW]
[ROW][C]204[/C][C]14.1[/C][C]11.4988[/C][C]2.60119[/C][/ROW]
[ROW][C]205[/C][C]14.9[/C][C]12.3986[/C][C]2.50144[/C][/ROW]
[ROW][C]206[/C][C]16.25[/C][C]13.0273[/C][C]3.22269[/C][/ROW]
[ROW][C]207[/C][C]19.25[/C][C]18.4477[/C][C]0.802258[/C][/ROW]
[ROW][C]208[/C][C]13.6[/C][C]12.8467[/C][C]0.753306[/C][/ROW]
[ROW][C]209[/C][C]13.6[/C][C]11.0273[/C][C]2.57271[/C][/ROW]
[ROW][C]210[/C][C]15.65[/C][C]13.2894[/C][C]2.36061[/C][/ROW]
[ROW][C]211[/C][C]12.75[/C][C]10.5245[/C][C]2.22548[/C][/ROW]
[ROW][C]212[/C][C]14.6[/C][C]16.6683[/C][C]-2.06833[/C][/ROW]
[ROW][C]213[/C][C]9.85[/C][C]9.95021[/C][C]-0.100207[/C][/ROW]
[ROW][C]214[/C][C]12.65[/C][C]12.3459[/C][C]0.304088[/C][/ROW]
[ROW][C]215[/C][C]11.9[/C][C]6.55898[/C][C]5.34102[/C][/ROW]
[ROW][C]216[/C][C]19.2[/C][C]15.4014[/C][C]3.79857[/C][/ROW]
[ROW][C]217[/C][C]16.6[/C][C]17.9702[/C][C]-1.37024[/C][/ROW]
[ROW][C]218[/C][C]11.2[/C][C]7.57135[/C][C]3.62865[/C][/ROW]
[ROW][C]219[/C][C]15.25[/C][C]16.9337[/C][C]-1.68369[/C][/ROW]
[ROW][C]220[/C][C]11.9[/C][C]10.5499[/C][C]1.35006[/C][/ROW]
[ROW][C]221[/C][C]13.2[/C][C]11.5302[/C][C]1.66978[/C][/ROW]
[ROW][C]222[/C][C]16.35[/C][C]16.254[/C][C]0.0960391[/C][/ROW]
[ROW][C]223[/C][C]12.4[/C][C]9.4254[/C][C]2.9746[/C][/ROW]
[ROW][C]224[/C][C]15.85[/C][C]14.3574[/C][C]1.49257[/C][/ROW]
[ROW][C]225[/C][C]14.35[/C][C]8.2617[/C][C]6.0883[/C][/ROW]
[ROW][C]226[/C][C]18.15[/C][C]19.4518[/C][C]-1.30179[/C][/ROW]
[ROW][C]227[/C][C]11.15[/C][C]10.0523[/C][C]1.0977[/C][/ROW]
[ROW][C]228[/C][C]15.65[/C][C]10.1341[/C][C]5.51595[/C][/ROW]
[ROW][C]229[/C][C]17.75[/C][C]21.991[/C][C]-4.24098[/C][/ROW]
[ROW][C]230[/C][C]7.65[/C][C]7.18488[/C][C]0.465123[/C][/ROW]
[ROW][C]231[/C][C]12.35[/C][C]7.07564[/C][C]5.27436[/C][/ROW]
[ROW][C]232[/C][C]15.6[/C][C]9.97628[/C][C]5.62372[/C][/ROW]
[ROW][C]233[/C][C]19.3[/C][C]16.8668[/C][C]2.43318[/C][/ROW]
[ROW][C]234[/C][C]15.2[/C][C]10.2356[/C][C]4.96444[/C][/ROW]
[ROW][C]235[/C][C]17.1[/C][C]13.286[/C][C]3.81403[/C][/ROW]
[ROW][C]236[/C][C]15.6[/C][C]11.6158[/C][C]3.9842[/C][/ROW]
[ROW][C]237[/C][C]18.4[/C][C]12.7011[/C][C]5.69886[/C][/ROW]
[ROW][C]238[/C][C]19.05[/C][C]11.9177[/C][C]7.13233[/C][/ROW]
[ROW][C]239[/C][C]18.55[/C][C]15.5014[/C][C]3.04864[/C][/ROW]
[ROW][C]240[/C][C]19.1[/C][C]17.1747[/C][C]1.92531[/C][/ROW]
[ROW][C]241[/C][C]13.1[/C][C]11.4707[/C][C]1.62932[/C][/ROW]
[ROW][C]242[/C][C]12.85[/C][C]13.7918[/C][C]-0.941772[/C][/ROW]
[ROW][C]243[/C][C]9.5[/C][C]16.8042[/C][C]-7.30423[/C][/ROW]
[ROW][C]244[/C][C]4.5[/C][C]4.3057[/C][C]0.194296[/C][/ROW]
[ROW][C]245[/C][C]11.85[/C][C]10.274[/C][C]1.57602[/C][/ROW]
[ROW][C]246[/C][C]13.6[/C][C]15.5127[/C][C]-1.91271[/C][/ROW]
[ROW][C]247[/C][C]11.7[/C][C]10.6128[/C][C]1.08716[/C][/ROW]
[ROW][C]248[/C][C]12.4[/C][C]13.0799[/C][C]-0.679933[/C][/ROW]
[ROW][C]249[/C][C]13.35[/C][C]14.1713[/C][C]-0.821253[/C][/ROW]
[ROW][C]250[/C][C]11.4[/C][C]8.55606[/C][C]2.84394[/C][/ROW]
[ROW][C]251[/C][C]14.9[/C][C]11.0891[/C][C]3.81092[/C][/ROW]
[ROW][C]252[/C][C]19.9[/C][C]14.2254[/C][C]5.67465[/C][/ROW]
[ROW][C]253[/C][C]17.75[/C][C]18.5857[/C][C]-0.83567[/C][/ROW]
[ROW][C]254[/C][C]11.2[/C][C]9.14465[/C][C]2.05535[/C][/ROW]
[ROW][C]255[/C][C]14.6[/C][C]12.4956[/C][C]2.10437[/C][/ROW]
[ROW][C]256[/C][C]17.6[/C][C]15.4469[/C][C]2.1531[/C][/ROW]
[ROW][C]257[/C][C]14.05[/C][C]12.4659[/C][C]1.58406[/C][/ROW]
[ROW][C]258[/C][C]16.1[/C][C]14.0826[/C][C]2.01736[/C][/ROW]
[ROW][C]259[/C][C]13.35[/C][C]12.355[/C][C]0.994994[/C][/ROW]
[ROW][C]260[/C][C]11.85[/C][C]13.7971[/C][C]-1.94714[/C][/ROW]
[ROW][C]261[/C][C]11.95[/C][C]10.3633[/C][C]1.58674[/C][/ROW]
[ROW][C]262[/C][C]14.75[/C][C]14.2043[/C][C]0.54566[/C][/ROW]
[ROW][C]263[/C][C]15.15[/C][C]14.6406[/C][C]0.50943[/C][/ROW]
[ROW][C]264[/C][C]13.2[/C][C]11.1066[/C][C]2.0934[/C][/ROW]
[ROW][C]265[/C][C]16.85[/C][C]20.2285[/C][C]-3.37854[/C][/ROW]
[ROW][C]266[/C][C]7.85[/C][C]12.0143[/C][C]-4.16428[/C][/ROW]
[ROW][C]267[/C][C]7.7[/C][C]8.76894[/C][C]-1.06894[/C][/ROW]
[ROW][C]268[/C][C]12.6[/C][C]17.4538[/C][C]-4.85378[/C][/ROW]
[ROW][C]269[/C][C]7.85[/C][C]9.0955[/C][C]-1.2455[/C][/ROW]
[ROW][C]270[/C][C]10.95[/C][C]11.7041[/C][C]-0.754091[/C][/ROW]
[ROW][C]271[/C][C]12.35[/C][C]14.4799[/C][C]-2.12986[/C][/ROW]
[ROW][C]272[/C][C]9.95[/C][C]7.10606[/C][C]2.84394[/C][/ROW]
[ROW][C]273[/C][C]14.9[/C][C]11.5946[/C][C]3.30535[/C][/ROW]
[ROW][C]274[/C][C]16.65[/C][C]16.3172[/C][C]0.332835[/C][/ROW]
[ROW][C]275[/C][C]13.4[/C][C]12.7681[/C][C]0.631901[/C][/ROW]
[ROW][C]276[/C][C]13.95[/C][C]9.90954[/C][C]4.04046[/C][/ROW]
[ROW][C]277[/C][C]15.7[/C][C]11.5378[/C][C]4.16216[/C][/ROW]
[ROW][C]278[/C][C]16.85[/C][C]17.7971[/C][C]-0.947084[/C][/ROW]
[ROW][C]279[/C][C]10.95[/C][C]7.00719[/C][C]3.94281[/C][/ROW]
[ROW][C]280[/C][C]15.35[/C][C]14.391[/C][C]0.959001[/C][/ROW]
[ROW][C]281[/C][C]12.2[/C][C]9.98457[/C][C]2.21543[/C][/ROW]
[ROW][C]282[/C][C]15.1[/C][C]12.1025[/C][C]2.9975[/C][/ROW]
[ROW][C]283[/C][C]17.75[/C][C]15.6473[/C][C]2.10271[/C][/ROW]
[ROW][C]284[/C][C]15.2[/C][C]14.2054[/C][C]0.994557[/C][/ROW]
[ROW][C]285[/C][C]14.6[/C][C]11.6387[/C][C]2.96125[/C][/ROW]
[ROW][C]286[/C][C]16.65[/C][C]19.9647[/C][C]-3.31466[/C][/ROW]
[ROW][C]287[/C][C]8.1[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265699&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265699&T=4

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


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

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
112.915.8529-2.95285
27.414.4246-7.02463
312.212.7265-0.526492
412.813.7119-0.911946
57.413.2445-5.84451
66.712.9066-6.20664
712.612.6763-0.0763067
814.814.17070.629342
913.315.3741-2.07406
1011.113.4601-2.36009
118.213.7826-5.58255
1211.412.9954-1.5954
136.413.4584-7.05836
1410.611.2139-0.613859
151214.9891-2.98915
166.311.5797-5.27966
1711.312.2284-0.928411
1811.913.8642-1.96415
199.312.9173-3.61727
209.612.8879-3.28787
211012.4905-2.4905
226.410.8757-4.47574
2313.811.62412.17592
2410.813.3549-2.5549
2513.813.57240.227618
2611.713.3906-1.69061
2710.913.4239-2.52388
2816.115.11470.985271
2913.413.748-0.348048
309.913.712-3.812
3111.512.6117-1.11167
328.313.2235-4.92347
3311.713.5802-1.88018
346.113.3783-7.27833
35912.0682-3.06819
369.712.7534-3.05338
3710.812.4445-1.64445
3810.312.228-1.92802
3910.412.4825-2.08246
4012.711.09561.60444
419.313.5002-4.20018
4211.813.865-2.06498
435.912.9094-7.00937
4411.412.9547-1.55469
451313.3311-0.331129
4610.812.6069-1.80686
4712.312.04550.254518
4811.313.8086-2.50856
4911.813.3568-1.5568
507.912.319-4.419
5112.713.1055-0.405534
5212.311.4220.878005
5311.611.9451-0.345134
546.711.6046-4.90462
5510.912.1667-1.26666
5612.111.44480.655215
5713.312.76160.538436
5810.112.3545-2.25451
595.712.252-6.55197
6014.312.07592.22406
61810.9463-2.94634
6213.313.4159-0.115871
639.314.8366-5.5366
6412.512.04850.45148
657.612.9105-5.31045
6615.913.97611.92388
679.213.4704-4.27044
689.111.8393-2.7393
6911.114.2163-3.11631
701315.9516-2.95155
7114.511.60052.89948
7212.213.1357-0.935738
7312.314.9262-2.62616
7411.412.8065-1.4065
758.813.9781-5.17812
7614.614.22090.379131
777.313.4528-6.15282
7812.612.8741-0.274093
79NANA-1.10554
801312.75570.244309
8112.613.9095-1.30945
8213.215.4103-2.2103
839.915.1978-5.29779
847.710.4017-2.70171
8510.58.983981.51602
8613.416.0776-2.67763
8710.917.9332-7.03316
884.37.37545-3.07545
8910.312.5453-2.24533
9011.812.42-0.620015
9111.211.5038-0.303753
9211.415.6241-4.22409
938.67.915240.68476
9413.212.8280.371977
9512.618.7255-6.12546
965.69.01269-3.41269
979.913.6995-3.79947
988.812.7728-3.9728
997.710.7333-3.03333
100914.1665-5.16647
1017.37.086460.21354
10211.49.490391.90961
10313.617.5824-3.98241
1047.99.25385-1.35385
10510.712.7511-2.05114
10610.312.8978-2.59783
1078.310.6764-2.37645
1089.67.781211.81879
10914.218.4161-4.21612
1108.57.378511.12149
11113.520.827-7.32705
1124.910.7504-5.85043
1136.410.4826-4.08259
1149.610.4156-0.815561
11511.611.6159-0.0158799
11611.118.673-7.57301
1174.355.04316-0.69316
11812.76.876075.82393
11918.112.65155.44847
12017.8519.4395-1.58946
12116.615.17521.42482
12212.610.50892.0911
12317.113.46023.63978
12419.121.2116-2.11161
12516.114.34331.75669
12613.3510.07983.27023
12718.414.49143.90857
12814.716.4258-1.72582
12910.69.314211.28579
13012.68.78533.8147
13116.215.84350.356524
13213.68.520895.07911
13318.916.6612.23902
13414.111.51992.58005
13514.513.62030.879662
13616.1513.16622.98383
13714.7512.36362.38645
13814.814.29580.504197
13912.4512.6238-0.173776
14012.657.592115.05789
14117.3520.1426-2.79264
1428.64.986213.61379
14318.417.27751.12252
14416.116.567-0.466982
14511.64.580927.01908
14617.7514.68493.06508
14715.259.818145.43186
14817.6514.45623.19384
14915.613.27672.32331
15016.3514.5511.79903
15117.6516.75790.892125
15213.614.1918-0.591807
15311.711.02610.673897
15414.3512.85191.49813
15514.759.352285.39772
15618.2520.5781-2.32808
1579.98.668751.23125
1581610.70795.29207
15918.2515.25592.99409
16016.8514.38672.46329
16114.614.45910.140912
16213.8510.28943.56057
16318.9516.60442.34563
16415.616.8404-1.24045
16514.8516.0089-1.15891
16611.759.057632.69237
16718.4514.9883.46204
16815.913.69992.20013
16917.113.07674.02328
17016.112.85153.24853
17119.920.1895-0.289454
17210.957.366013.58399
17318.4514.32764.12245
17415.113.85271.24734
1751517.9464-2.94645
17611.358.246153.10385
17715.9512.03573.91433
17818.117.01741.08257
17914.611.78122.81884
18015.412.46872.93132
18115.410.61064.78936
18217.618.0743-0.474293
18313.357.758755.59125
18419.116.95982.14023
18515.3519.8409-4.49093
1867.610.3255-2.72552
18713.413.13320.266823
18813.98.574725.32528
18919.117.57381.52618
19015.2514.40420.845815
19112.911.50261.39743
19216.111.4734.62696
19317.3517.5212-0.171189
19413.1512.50990.640145
19512.1511.48080.669209
19612.614.5559-1.95594
19710.357.164453.18555
19815.417.6858-2.28581
1999.64.285865.31414
20018.218.01320.186831
20113.613.01540.584585
20214.8514.34990.500059
20314.7513.4451.30504
20414.111.49882.60119
20514.912.39862.50144
20616.2513.02733.22269
20719.2518.44770.802258
20813.612.84670.753306
20913.611.02732.57271
21015.6513.28942.36061
21112.7510.52452.22548
21214.616.6683-2.06833
2139.859.95021-0.100207
21412.6512.34590.304088
21511.96.558985.34102
21619.215.40143.79857
21716.617.9702-1.37024
21811.27.571353.62865
21915.2516.9337-1.68369
22011.910.54991.35006
22113.211.53021.66978
22216.3516.2540.0960391
22312.49.42542.9746
22415.8514.35741.49257
22514.358.26176.0883
22618.1519.4518-1.30179
22711.1510.05231.0977
22815.6510.13415.51595
22917.7521.991-4.24098
2307.657.184880.465123
23112.357.075645.27436
23215.69.976285.62372
23319.316.86682.43318
23415.210.23564.96444
23517.113.2863.81403
23615.611.61583.9842
23718.412.70115.69886
23819.0511.91777.13233
23918.5515.50143.04864
24019.117.17471.92531
24113.111.47071.62932
24212.8513.7918-0.941772
2439.516.8042-7.30423
2444.54.30570.194296
24511.8510.2741.57602
24613.615.5127-1.91271
24711.710.61281.08716
24812.413.0799-0.679933
24913.3514.1713-0.821253
25011.48.556062.84394
25114.911.08913.81092
25219.914.22545.67465
25317.7518.5857-0.83567
25411.29.144652.05535
25514.612.49562.10437
25617.615.44692.1531
25714.0512.46591.58406
25816.114.08262.01736
25913.3512.3550.994994
26011.8513.7971-1.94714
26111.9510.36331.58674
26214.7514.20430.54566
26315.1514.64060.50943
26413.211.10662.0934
26516.8520.2285-3.37854
2667.8512.0143-4.16428
2677.78.76894-1.06894
26812.617.4538-4.85378
2697.859.0955-1.2455
27010.9511.7041-0.754091
27112.3514.4799-2.12986
2729.957.106062.84394
27314.911.59463.30535
27416.6516.31720.332835
27513.412.76810.631901
27613.959.909544.04046
27715.711.53784.16216
27816.8517.7971-0.947084
27910.957.007193.94281
28015.3514.3910.959001
28112.29.984572.21543
28215.112.10252.9975
28317.7515.64732.10271
28415.214.20540.994557
28514.611.63872.96125
28616.6519.9647-3.31466
2878.1NANA






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
80.6360650.7278690.363935
90.6658220.6683550.334178
100.5744550.8510890.425545
110.5267430.9465140.473257
120.4646920.9293840.535308
130.6240020.7519970.375998
140.5437520.9124960.456248
150.4559330.9118670.544067
160.4988020.9976040.501198
170.4280830.8561660.571917
180.3594080.7188170.640592
190.2944370.5888750.705563
200.2321440.4642880.767856
210.1794160.3588310.820584
220.1516360.3032720.848364
230.2514570.5029130.748543
240.1998640.3997280.800136
250.1928010.3856020.807199
260.1515340.3030680.848466
270.1174660.2349310.882534
280.1086270.2172530.891373
290.1065070.2130150.893493
300.0930540.1861080.906946
310.07408650.1481730.925913
320.06935130.1387030.930649
330.05498360.1099670.945016
340.127190.2543790.87281
350.1034710.2069410.896529
360.08302070.1660410.916979
370.06574930.1314990.934251
380.05143970.1028790.94856
390.03971530.07943050.960285
400.05223930.1044790.947761
410.04556530.09113050.954435
420.03517130.07034270.964829
430.0548420.1096840.945158
440.04522130.09044250.954779
450.04090260.08180520.959097
460.03175850.06351710.968241
470.03033990.06067980.96966
480.0234710.0469420.976529
490.01864460.03728910.981355
500.01837610.03675220.981624
510.01523590.03047180.984764
520.01607260.03214510.983927
530.01286230.02572460.987138
540.01434980.02869960.98565
550.01131170.02262350.988688
560.01019230.02038460.989808
570.01035870.02071740.989641
580.007975640.01595130.992024
590.01579040.03158080.98421
600.02090640.04181280.979094
610.01711970.03423930.98288
620.01547760.03095520.984522
630.01895420.03790840.981046
640.01800210.03600420.981998
650.02171530.04343050.978285
660.02958650.0591730.970413
670.02724740.05449480.972753
680.02301310.04602620.976987
690.01965360.03930720.980346
700.01717670.03435340.982823
710.02427170.04854340.975728
720.02096690.04193370.979033
730.0178120.03562410.982188
740.01457130.02914260.985429
750.01585480.03170950.984145
760.01582560.03165130.984174
770.02583780.05167560.974162
780.02261580.04523150.977384
790.01955890.03911770.980441
800.01775360.03550710.982246
810.01553890.03107780.984461
820.01275920.02551850.987241
830.01776160.03552320.982238
840.01513130.03026250.984869
850.01550430.03100860.984496
860.01348510.02697030.986515
870.03488710.06977410.965113
880.03200140.06400270.967999
890.0286340.0572680.971366
900.02397470.04794950.976025
910.02091640.04183280.979084
920.0215760.04315190.978424
930.02077760.04155520.979222
940.01895310.03790620.981047
950.03444830.06889670.965552
960.03510340.07020670.964897
970.03473920.06947850.965261
980.03706120.07412240.962939
990.03471180.06942360.965288
1000.04588190.09176390.954118
1010.04227820.08455640.957722
1020.04875950.0975190.951241
1030.05643180.1128640.943568
1040.05034490.100690.949655
1050.04581640.09163270.954184
1060.04486120.08972230.955139
1070.04313220.08626440.956868
1080.04757410.09514820.952426
1090.05433620.1086720.945664
1100.05314970.1062990.94685
1110.1317810.2635620.868219
1120.1920330.3840660.807967
1130.2116950.423390.788305
1140.2005060.4010120.799494
1150.1852750.370550.814725
1160.3475550.6951090.652445
1170.3345420.6690850.665458
1180.5262630.9474730.473737
1190.6815640.6368730.318436
1200.6896830.6206330.310317
1210.6850220.6299560.314978
1220.7077640.5844730.292236
1230.7761720.4476570.223828
1240.7936120.4127770.206388
1250.8001570.3996850.199843
1260.8370290.3259410.162971
1270.8697030.2605930.130297
1280.8646720.2706560.135328
1290.8558060.2883880.144194
1300.8811120.2377760.118888
1310.8713150.257370.128685
1320.912870.174260.0871301
1330.9126160.1747680.0873838
1340.9148240.1703520.0851762
1350.912540.1749210.0874604
1360.9158910.1682170.0841086
1370.9136180.1727640.0863822
1380.9026020.1947970.0973984
1390.8916530.2166940.108347
1400.9250230.1499540.0749768
1410.9304560.1390880.0695441
1420.9425420.1149170.0574583
1430.9363950.1272110.0636053
1440.9273040.1453930.0726965
1450.9704510.05909870.0295493
1460.9692130.06157470.0307873
1470.9798150.04037020.0201851
1480.9824380.03512340.0175617
1490.9824260.03514860.0175743
1500.981610.03678090.0183905
1510.9780250.04395050.0219752
1520.9742050.05159050.0257953
1530.9704040.05919240.0295962
1540.9663660.0672680.033634
1550.9788180.04236360.0211818
1560.9801660.03966820.0198341
1570.9770450.04590920.0229546
1580.9850990.02980250.0149013
1590.9854330.02913480.0145674
1600.9842680.0314640.015732
1610.9812770.03744660.0187233
1620.9816480.03670310.0183515
1630.9806340.03873210.019366
1640.9796650.04067060.0203353
1650.9776250.04475010.0223751
1660.9765950.046810.023405
1670.9768590.04628130.0231406
1680.9743280.05134490.0256725
1690.9776570.0446860.022343
1700.9769880.04602380.0230119
1710.9722710.05545890.0277294
1720.9730940.05381130.0269056
1730.977350.04530030.0226501
1740.9731780.05364460.0268223
1750.9785060.04298810.0214941
1760.9772030.04559370.0227969
1770.9786370.04272540.0213627
1780.9740570.05188570.0259428
1790.9724120.05517640.0275882
1800.9710640.0578720.028936
1810.975840.04831970.0241599
1820.971530.05694080.0284704
1830.9809170.03816580.0190829
1840.9776130.0447750.0223875
1850.9862080.02758390.013792
1860.9896920.02061530.0103077
1870.9874340.02513240.0125662
1880.9909420.01811680.00905841
1890.9891950.02161020.0108051
1900.9863740.02725250.0136262
1910.9833480.03330410.0166521
1920.9866260.02674880.0133744
1930.9840470.03190660.0159533
1940.9800620.0398760.019938
1950.9754220.04915660.0245783
1960.9735450.05290990.0264549
1970.9716580.05668310.0283416
1980.9710290.05794250.0289712
1990.9781070.04378520.0218926
2000.973410.05318050.0265903
2010.9668910.06621860.0331093
2020.9612780.07744320.0387216
2030.9543060.09138890.0456945
2040.9487560.1024880.0512441
2050.9413090.1173830.0586914
2060.9422710.1154590.0577294
2070.9306480.1387030.0693517
2080.9185970.1628070.0814033
2090.9082820.1834360.0917182
2100.8974390.2051220.102561
2110.8837380.2325240.116262
2120.8859580.2280850.114042
2130.8653680.2692650.134632
2140.8435410.3129180.156459
2150.8531980.2936050.146802
2160.8486220.3027560.151378
2170.8360510.3278990.163949
2180.8351680.3296640.164832
2190.8478390.3043230.152161
2200.8252960.3494090.174704
2210.8024250.395150.197575
2220.7725590.4548820.227441
2230.758220.4835610.24178
2240.7276780.5446430.272322
2250.7990960.4018070.200904
2260.7817520.4364970.218248
2270.7506640.4986730.249336
2280.7784480.4431030.221552
2290.8622930.2754140.137707
2300.8377070.3245850.162293
2310.8769230.2461540.123077
2320.8938320.2123370.106168
2330.878550.2429010.12145
2340.9027780.1944440.0972222
2350.9075160.1849690.0924845
2360.898770.2024590.10123
2370.9243090.1513810.0756907
2380.975740.04851960.0242598
2390.9690880.06182490.0309124
2400.9611510.07769760.0388488
2410.9520750.09585040.0479252
2420.9384010.1231980.0615992
2430.9875140.02497160.0124858
2440.982470.03506090.0175305
2450.9762270.04754610.0237731
2460.971510.05698040.0284902
2470.9620070.07598590.0379929
2480.9559550.08808990.0440449
2490.9481680.1036630.0518317
2500.9433980.1132040.056602
2510.9341230.1317540.065877
2520.9741830.05163410.0258171
2530.9639410.07211850.0360592
2540.9517290.09654290.0482715
2550.9353260.1293480.0646739
2560.9294030.1411950.0705973
2570.9055030.1889940.0944972
2580.8939230.2121540.106077
2590.8693850.261230.130615
2600.8876150.2247710.112385
2610.8551640.2896720.144836
2620.8231710.3536590.176829
2630.7744340.4511310.225566
2640.7175510.5648980.282449
2650.7178760.5642470.282124
2660.9008850.1982290.0991146
2670.9323730.1352540.0676272
2680.9727230.0545540.027277
2690.9544330.09113330.0455666
2700.9790190.04196180.0209809
2710.9656640.06867230.0343361
2720.967530.06493950.0324697
2730.9434970.1130050.0565026
2740.9019990.1960010.0980006
2750.8385930.3228150.161407
2760.7432170.5135650.256783
2770.855280.289440.14472
2780.7430960.5138080.256904
2790.7087720.5824560.291228

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
8 & 0.636065 & 0.727869 & 0.363935 \tabularnewline
9 & 0.665822 & 0.668355 & 0.334178 \tabularnewline
10 & 0.574455 & 0.851089 & 0.425545 \tabularnewline
11 & 0.526743 & 0.946514 & 0.473257 \tabularnewline
12 & 0.464692 & 0.929384 & 0.535308 \tabularnewline
13 & 0.624002 & 0.751997 & 0.375998 \tabularnewline
14 & 0.543752 & 0.912496 & 0.456248 \tabularnewline
15 & 0.455933 & 0.911867 & 0.544067 \tabularnewline
16 & 0.498802 & 0.997604 & 0.501198 \tabularnewline
17 & 0.428083 & 0.856166 & 0.571917 \tabularnewline
18 & 0.359408 & 0.718817 & 0.640592 \tabularnewline
19 & 0.294437 & 0.588875 & 0.705563 \tabularnewline
20 & 0.232144 & 0.464288 & 0.767856 \tabularnewline
21 & 0.179416 & 0.358831 & 0.820584 \tabularnewline
22 & 0.151636 & 0.303272 & 0.848364 \tabularnewline
23 & 0.251457 & 0.502913 & 0.748543 \tabularnewline
24 & 0.199864 & 0.399728 & 0.800136 \tabularnewline
25 & 0.192801 & 0.385602 & 0.807199 \tabularnewline
26 & 0.151534 & 0.303068 & 0.848466 \tabularnewline
27 & 0.117466 & 0.234931 & 0.882534 \tabularnewline
28 & 0.108627 & 0.217253 & 0.891373 \tabularnewline
29 & 0.106507 & 0.213015 & 0.893493 \tabularnewline
30 & 0.093054 & 0.186108 & 0.906946 \tabularnewline
31 & 0.0740865 & 0.148173 & 0.925913 \tabularnewline
32 & 0.0693513 & 0.138703 & 0.930649 \tabularnewline
33 & 0.0549836 & 0.109967 & 0.945016 \tabularnewline
34 & 0.12719 & 0.254379 & 0.87281 \tabularnewline
35 & 0.103471 & 0.206941 & 0.896529 \tabularnewline
36 & 0.0830207 & 0.166041 & 0.916979 \tabularnewline
37 & 0.0657493 & 0.131499 & 0.934251 \tabularnewline
38 & 0.0514397 & 0.102879 & 0.94856 \tabularnewline
39 & 0.0397153 & 0.0794305 & 0.960285 \tabularnewline
40 & 0.0522393 & 0.104479 & 0.947761 \tabularnewline
41 & 0.0455653 & 0.0911305 & 0.954435 \tabularnewline
42 & 0.0351713 & 0.0703427 & 0.964829 \tabularnewline
43 & 0.054842 & 0.109684 & 0.945158 \tabularnewline
44 & 0.0452213 & 0.0904425 & 0.954779 \tabularnewline
45 & 0.0409026 & 0.0818052 & 0.959097 \tabularnewline
46 & 0.0317585 & 0.0635171 & 0.968241 \tabularnewline
47 & 0.0303399 & 0.0606798 & 0.96966 \tabularnewline
48 & 0.023471 & 0.046942 & 0.976529 \tabularnewline
49 & 0.0186446 & 0.0372891 & 0.981355 \tabularnewline
50 & 0.0183761 & 0.0367522 & 0.981624 \tabularnewline
51 & 0.0152359 & 0.0304718 & 0.984764 \tabularnewline
52 & 0.0160726 & 0.0321451 & 0.983927 \tabularnewline
53 & 0.0128623 & 0.0257246 & 0.987138 \tabularnewline
54 & 0.0143498 & 0.0286996 & 0.98565 \tabularnewline
55 & 0.0113117 & 0.0226235 & 0.988688 \tabularnewline
56 & 0.0101923 & 0.0203846 & 0.989808 \tabularnewline
57 & 0.0103587 & 0.0207174 & 0.989641 \tabularnewline
58 & 0.00797564 & 0.0159513 & 0.992024 \tabularnewline
59 & 0.0157904 & 0.0315808 & 0.98421 \tabularnewline
60 & 0.0209064 & 0.0418128 & 0.979094 \tabularnewline
61 & 0.0171197 & 0.0342393 & 0.98288 \tabularnewline
62 & 0.0154776 & 0.0309552 & 0.984522 \tabularnewline
63 & 0.0189542 & 0.0379084 & 0.981046 \tabularnewline
64 & 0.0180021 & 0.0360042 & 0.981998 \tabularnewline
65 & 0.0217153 & 0.0434305 & 0.978285 \tabularnewline
66 & 0.0295865 & 0.059173 & 0.970413 \tabularnewline
67 & 0.0272474 & 0.0544948 & 0.972753 \tabularnewline
68 & 0.0230131 & 0.0460262 & 0.976987 \tabularnewline
69 & 0.0196536 & 0.0393072 & 0.980346 \tabularnewline
70 & 0.0171767 & 0.0343534 & 0.982823 \tabularnewline
71 & 0.0242717 & 0.0485434 & 0.975728 \tabularnewline
72 & 0.0209669 & 0.0419337 & 0.979033 \tabularnewline
73 & 0.017812 & 0.0356241 & 0.982188 \tabularnewline
74 & 0.0145713 & 0.0291426 & 0.985429 \tabularnewline
75 & 0.0158548 & 0.0317095 & 0.984145 \tabularnewline
76 & 0.0158256 & 0.0316513 & 0.984174 \tabularnewline
77 & 0.0258378 & 0.0516756 & 0.974162 \tabularnewline
78 & 0.0226158 & 0.0452315 & 0.977384 \tabularnewline
79 & 0.0195589 & 0.0391177 & 0.980441 \tabularnewline
80 & 0.0177536 & 0.0355071 & 0.982246 \tabularnewline
81 & 0.0155389 & 0.0310778 & 0.984461 \tabularnewline
82 & 0.0127592 & 0.0255185 & 0.987241 \tabularnewline
83 & 0.0177616 & 0.0355232 & 0.982238 \tabularnewline
84 & 0.0151313 & 0.0302625 & 0.984869 \tabularnewline
85 & 0.0155043 & 0.0310086 & 0.984496 \tabularnewline
86 & 0.0134851 & 0.0269703 & 0.986515 \tabularnewline
87 & 0.0348871 & 0.0697741 & 0.965113 \tabularnewline
88 & 0.0320014 & 0.0640027 & 0.967999 \tabularnewline
89 & 0.028634 & 0.057268 & 0.971366 \tabularnewline
90 & 0.0239747 & 0.0479495 & 0.976025 \tabularnewline
91 & 0.0209164 & 0.0418328 & 0.979084 \tabularnewline
92 & 0.021576 & 0.0431519 & 0.978424 \tabularnewline
93 & 0.0207776 & 0.0415552 & 0.979222 \tabularnewline
94 & 0.0189531 & 0.0379062 & 0.981047 \tabularnewline
95 & 0.0344483 & 0.0688967 & 0.965552 \tabularnewline
96 & 0.0351034 & 0.0702067 & 0.964897 \tabularnewline
97 & 0.0347392 & 0.0694785 & 0.965261 \tabularnewline
98 & 0.0370612 & 0.0741224 & 0.962939 \tabularnewline
99 & 0.0347118 & 0.0694236 & 0.965288 \tabularnewline
100 & 0.0458819 & 0.0917639 & 0.954118 \tabularnewline
101 & 0.0422782 & 0.0845564 & 0.957722 \tabularnewline
102 & 0.0487595 & 0.097519 & 0.951241 \tabularnewline
103 & 0.0564318 & 0.112864 & 0.943568 \tabularnewline
104 & 0.0503449 & 0.10069 & 0.949655 \tabularnewline
105 & 0.0458164 & 0.0916327 & 0.954184 \tabularnewline
106 & 0.0448612 & 0.0897223 & 0.955139 \tabularnewline
107 & 0.0431322 & 0.0862644 & 0.956868 \tabularnewline
108 & 0.0475741 & 0.0951482 & 0.952426 \tabularnewline
109 & 0.0543362 & 0.108672 & 0.945664 \tabularnewline
110 & 0.0531497 & 0.106299 & 0.94685 \tabularnewline
111 & 0.131781 & 0.263562 & 0.868219 \tabularnewline
112 & 0.192033 & 0.384066 & 0.807967 \tabularnewline
113 & 0.211695 & 0.42339 & 0.788305 \tabularnewline
114 & 0.200506 & 0.401012 & 0.799494 \tabularnewline
115 & 0.185275 & 0.37055 & 0.814725 \tabularnewline
116 & 0.347555 & 0.695109 & 0.652445 \tabularnewline
117 & 0.334542 & 0.669085 & 0.665458 \tabularnewline
118 & 0.526263 & 0.947473 & 0.473737 \tabularnewline
119 & 0.681564 & 0.636873 & 0.318436 \tabularnewline
120 & 0.689683 & 0.620633 & 0.310317 \tabularnewline
121 & 0.685022 & 0.629956 & 0.314978 \tabularnewline
122 & 0.707764 & 0.584473 & 0.292236 \tabularnewline
123 & 0.776172 & 0.447657 & 0.223828 \tabularnewline
124 & 0.793612 & 0.412777 & 0.206388 \tabularnewline
125 & 0.800157 & 0.399685 & 0.199843 \tabularnewline
126 & 0.837029 & 0.325941 & 0.162971 \tabularnewline
127 & 0.869703 & 0.260593 & 0.130297 \tabularnewline
128 & 0.864672 & 0.270656 & 0.135328 \tabularnewline
129 & 0.855806 & 0.288388 & 0.144194 \tabularnewline
130 & 0.881112 & 0.237776 & 0.118888 \tabularnewline
131 & 0.871315 & 0.25737 & 0.128685 \tabularnewline
132 & 0.91287 & 0.17426 & 0.0871301 \tabularnewline
133 & 0.912616 & 0.174768 & 0.0873838 \tabularnewline
134 & 0.914824 & 0.170352 & 0.0851762 \tabularnewline
135 & 0.91254 & 0.174921 & 0.0874604 \tabularnewline
136 & 0.915891 & 0.168217 & 0.0841086 \tabularnewline
137 & 0.913618 & 0.172764 & 0.0863822 \tabularnewline
138 & 0.902602 & 0.194797 & 0.0973984 \tabularnewline
139 & 0.891653 & 0.216694 & 0.108347 \tabularnewline
140 & 0.925023 & 0.149954 & 0.0749768 \tabularnewline
141 & 0.930456 & 0.139088 & 0.0695441 \tabularnewline
142 & 0.942542 & 0.114917 & 0.0574583 \tabularnewline
143 & 0.936395 & 0.127211 & 0.0636053 \tabularnewline
144 & 0.927304 & 0.145393 & 0.0726965 \tabularnewline
145 & 0.970451 & 0.0590987 & 0.0295493 \tabularnewline
146 & 0.969213 & 0.0615747 & 0.0307873 \tabularnewline
147 & 0.979815 & 0.0403702 & 0.0201851 \tabularnewline
148 & 0.982438 & 0.0351234 & 0.0175617 \tabularnewline
149 & 0.982426 & 0.0351486 & 0.0175743 \tabularnewline
150 & 0.98161 & 0.0367809 & 0.0183905 \tabularnewline
151 & 0.978025 & 0.0439505 & 0.0219752 \tabularnewline
152 & 0.974205 & 0.0515905 & 0.0257953 \tabularnewline
153 & 0.970404 & 0.0591924 & 0.0295962 \tabularnewline
154 & 0.966366 & 0.067268 & 0.033634 \tabularnewline
155 & 0.978818 & 0.0423636 & 0.0211818 \tabularnewline
156 & 0.980166 & 0.0396682 & 0.0198341 \tabularnewline
157 & 0.977045 & 0.0459092 & 0.0229546 \tabularnewline
158 & 0.985099 & 0.0298025 & 0.0149013 \tabularnewline
159 & 0.985433 & 0.0291348 & 0.0145674 \tabularnewline
160 & 0.984268 & 0.031464 & 0.015732 \tabularnewline
161 & 0.981277 & 0.0374466 & 0.0187233 \tabularnewline
162 & 0.981648 & 0.0367031 & 0.0183515 \tabularnewline
163 & 0.980634 & 0.0387321 & 0.019366 \tabularnewline
164 & 0.979665 & 0.0406706 & 0.0203353 \tabularnewline
165 & 0.977625 & 0.0447501 & 0.0223751 \tabularnewline
166 & 0.976595 & 0.04681 & 0.023405 \tabularnewline
167 & 0.976859 & 0.0462813 & 0.0231406 \tabularnewline
168 & 0.974328 & 0.0513449 & 0.0256725 \tabularnewline
169 & 0.977657 & 0.044686 & 0.022343 \tabularnewline
170 & 0.976988 & 0.0460238 & 0.0230119 \tabularnewline
171 & 0.972271 & 0.0554589 & 0.0277294 \tabularnewline
172 & 0.973094 & 0.0538113 & 0.0269056 \tabularnewline
173 & 0.97735 & 0.0453003 & 0.0226501 \tabularnewline
174 & 0.973178 & 0.0536446 & 0.0268223 \tabularnewline
175 & 0.978506 & 0.0429881 & 0.0214941 \tabularnewline
176 & 0.977203 & 0.0455937 & 0.0227969 \tabularnewline
177 & 0.978637 & 0.0427254 & 0.0213627 \tabularnewline
178 & 0.974057 & 0.0518857 & 0.0259428 \tabularnewline
179 & 0.972412 & 0.0551764 & 0.0275882 \tabularnewline
180 & 0.971064 & 0.057872 & 0.028936 \tabularnewline
181 & 0.97584 & 0.0483197 & 0.0241599 \tabularnewline
182 & 0.97153 & 0.0569408 & 0.0284704 \tabularnewline
183 & 0.980917 & 0.0381658 & 0.0190829 \tabularnewline
184 & 0.977613 & 0.044775 & 0.0223875 \tabularnewline
185 & 0.986208 & 0.0275839 & 0.013792 \tabularnewline
186 & 0.989692 & 0.0206153 & 0.0103077 \tabularnewline
187 & 0.987434 & 0.0251324 & 0.0125662 \tabularnewline
188 & 0.990942 & 0.0181168 & 0.00905841 \tabularnewline
189 & 0.989195 & 0.0216102 & 0.0108051 \tabularnewline
190 & 0.986374 & 0.0272525 & 0.0136262 \tabularnewline
191 & 0.983348 & 0.0333041 & 0.0166521 \tabularnewline
192 & 0.986626 & 0.0267488 & 0.0133744 \tabularnewline
193 & 0.984047 & 0.0319066 & 0.0159533 \tabularnewline
194 & 0.980062 & 0.039876 & 0.019938 \tabularnewline
195 & 0.975422 & 0.0491566 & 0.0245783 \tabularnewline
196 & 0.973545 & 0.0529099 & 0.0264549 \tabularnewline
197 & 0.971658 & 0.0566831 & 0.0283416 \tabularnewline
198 & 0.971029 & 0.0579425 & 0.0289712 \tabularnewline
199 & 0.978107 & 0.0437852 & 0.0218926 \tabularnewline
200 & 0.97341 & 0.0531805 & 0.0265903 \tabularnewline
201 & 0.966891 & 0.0662186 & 0.0331093 \tabularnewline
202 & 0.961278 & 0.0774432 & 0.0387216 \tabularnewline
203 & 0.954306 & 0.0913889 & 0.0456945 \tabularnewline
204 & 0.948756 & 0.102488 & 0.0512441 \tabularnewline
205 & 0.941309 & 0.117383 & 0.0586914 \tabularnewline
206 & 0.942271 & 0.115459 & 0.0577294 \tabularnewline
207 & 0.930648 & 0.138703 & 0.0693517 \tabularnewline
208 & 0.918597 & 0.162807 & 0.0814033 \tabularnewline
209 & 0.908282 & 0.183436 & 0.0917182 \tabularnewline
210 & 0.897439 & 0.205122 & 0.102561 \tabularnewline
211 & 0.883738 & 0.232524 & 0.116262 \tabularnewline
212 & 0.885958 & 0.228085 & 0.114042 \tabularnewline
213 & 0.865368 & 0.269265 & 0.134632 \tabularnewline
214 & 0.843541 & 0.312918 & 0.156459 \tabularnewline
215 & 0.853198 & 0.293605 & 0.146802 \tabularnewline
216 & 0.848622 & 0.302756 & 0.151378 \tabularnewline
217 & 0.836051 & 0.327899 & 0.163949 \tabularnewline
218 & 0.835168 & 0.329664 & 0.164832 \tabularnewline
219 & 0.847839 & 0.304323 & 0.152161 \tabularnewline
220 & 0.825296 & 0.349409 & 0.174704 \tabularnewline
221 & 0.802425 & 0.39515 & 0.197575 \tabularnewline
222 & 0.772559 & 0.454882 & 0.227441 \tabularnewline
223 & 0.75822 & 0.483561 & 0.24178 \tabularnewline
224 & 0.727678 & 0.544643 & 0.272322 \tabularnewline
225 & 0.799096 & 0.401807 & 0.200904 \tabularnewline
226 & 0.781752 & 0.436497 & 0.218248 \tabularnewline
227 & 0.750664 & 0.498673 & 0.249336 \tabularnewline
228 & 0.778448 & 0.443103 & 0.221552 \tabularnewline
229 & 0.862293 & 0.275414 & 0.137707 \tabularnewline
230 & 0.837707 & 0.324585 & 0.162293 \tabularnewline
231 & 0.876923 & 0.246154 & 0.123077 \tabularnewline
232 & 0.893832 & 0.212337 & 0.106168 \tabularnewline
233 & 0.87855 & 0.242901 & 0.12145 \tabularnewline
234 & 0.902778 & 0.194444 & 0.0972222 \tabularnewline
235 & 0.907516 & 0.184969 & 0.0924845 \tabularnewline
236 & 0.89877 & 0.202459 & 0.10123 \tabularnewline
237 & 0.924309 & 0.151381 & 0.0756907 \tabularnewline
238 & 0.97574 & 0.0485196 & 0.0242598 \tabularnewline
239 & 0.969088 & 0.0618249 & 0.0309124 \tabularnewline
240 & 0.961151 & 0.0776976 & 0.0388488 \tabularnewline
241 & 0.952075 & 0.0958504 & 0.0479252 \tabularnewline
242 & 0.938401 & 0.123198 & 0.0615992 \tabularnewline
243 & 0.987514 & 0.0249716 & 0.0124858 \tabularnewline
244 & 0.98247 & 0.0350609 & 0.0175305 \tabularnewline
245 & 0.976227 & 0.0475461 & 0.0237731 \tabularnewline
246 & 0.97151 & 0.0569804 & 0.0284902 \tabularnewline
247 & 0.962007 & 0.0759859 & 0.0379929 \tabularnewline
248 & 0.955955 & 0.0880899 & 0.0440449 \tabularnewline
249 & 0.948168 & 0.103663 & 0.0518317 \tabularnewline
250 & 0.943398 & 0.113204 & 0.056602 \tabularnewline
251 & 0.934123 & 0.131754 & 0.065877 \tabularnewline
252 & 0.974183 & 0.0516341 & 0.0258171 \tabularnewline
253 & 0.963941 & 0.0721185 & 0.0360592 \tabularnewline
254 & 0.951729 & 0.0965429 & 0.0482715 \tabularnewline
255 & 0.935326 & 0.129348 & 0.0646739 \tabularnewline
256 & 0.929403 & 0.141195 & 0.0705973 \tabularnewline
257 & 0.905503 & 0.188994 & 0.0944972 \tabularnewline
258 & 0.893923 & 0.212154 & 0.106077 \tabularnewline
259 & 0.869385 & 0.26123 & 0.130615 \tabularnewline
260 & 0.887615 & 0.224771 & 0.112385 \tabularnewline
261 & 0.855164 & 0.289672 & 0.144836 \tabularnewline
262 & 0.823171 & 0.353659 & 0.176829 \tabularnewline
263 & 0.774434 & 0.451131 & 0.225566 \tabularnewline
264 & 0.717551 & 0.564898 & 0.282449 \tabularnewline
265 & 0.717876 & 0.564247 & 0.282124 \tabularnewline
266 & 0.900885 & 0.198229 & 0.0991146 \tabularnewline
267 & 0.932373 & 0.135254 & 0.0676272 \tabularnewline
268 & 0.972723 & 0.054554 & 0.027277 \tabularnewline
269 & 0.954433 & 0.0911333 & 0.0455666 \tabularnewline
270 & 0.979019 & 0.0419618 & 0.0209809 \tabularnewline
271 & 0.965664 & 0.0686723 & 0.0343361 \tabularnewline
272 & 0.96753 & 0.0649395 & 0.0324697 \tabularnewline
273 & 0.943497 & 0.113005 & 0.0565026 \tabularnewline
274 & 0.901999 & 0.196001 & 0.0980006 \tabularnewline
275 & 0.838593 & 0.322815 & 0.161407 \tabularnewline
276 & 0.743217 & 0.513565 & 0.256783 \tabularnewline
277 & 0.85528 & 0.28944 & 0.14472 \tabularnewline
278 & 0.743096 & 0.513808 & 0.256904 \tabularnewline
279 & 0.708772 & 0.582456 & 0.291228 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265699&T=5

[TABLE]
[ROW][C]Goldfeld-Quandt test for Heteroskedasticity[/C][/ROW]
[ROW][C]p-values[/C][C]Alternative Hypothesis[/C][/ROW]
[ROW][C]breakpoint index[/C][C]greater[/C][C]2-sided[/C][C]less[/C][/ROW]
[ROW][C]8[/C][C]0.636065[/C][C]0.727869[/C][C]0.363935[/C][/ROW]
[ROW][C]9[/C][C]0.665822[/C][C]0.668355[/C][C]0.334178[/C][/ROW]
[ROW][C]10[/C][C]0.574455[/C][C]0.851089[/C][C]0.425545[/C][/ROW]
[ROW][C]11[/C][C]0.526743[/C][C]0.946514[/C][C]0.473257[/C][/ROW]
[ROW][C]12[/C][C]0.464692[/C][C]0.929384[/C][C]0.535308[/C][/ROW]
[ROW][C]13[/C][C]0.624002[/C][C]0.751997[/C][C]0.375998[/C][/ROW]
[ROW][C]14[/C][C]0.543752[/C][C]0.912496[/C][C]0.456248[/C][/ROW]
[ROW][C]15[/C][C]0.455933[/C][C]0.911867[/C][C]0.544067[/C][/ROW]
[ROW][C]16[/C][C]0.498802[/C][C]0.997604[/C][C]0.501198[/C][/ROW]
[ROW][C]17[/C][C]0.428083[/C][C]0.856166[/C][C]0.571917[/C][/ROW]
[ROW][C]18[/C][C]0.359408[/C][C]0.718817[/C][C]0.640592[/C][/ROW]
[ROW][C]19[/C][C]0.294437[/C][C]0.588875[/C][C]0.705563[/C][/ROW]
[ROW][C]20[/C][C]0.232144[/C][C]0.464288[/C][C]0.767856[/C][/ROW]
[ROW][C]21[/C][C]0.179416[/C][C]0.358831[/C][C]0.820584[/C][/ROW]
[ROW][C]22[/C][C]0.151636[/C][C]0.303272[/C][C]0.848364[/C][/ROW]
[ROW][C]23[/C][C]0.251457[/C][C]0.502913[/C][C]0.748543[/C][/ROW]
[ROW][C]24[/C][C]0.199864[/C][C]0.399728[/C][C]0.800136[/C][/ROW]
[ROW][C]25[/C][C]0.192801[/C][C]0.385602[/C][C]0.807199[/C][/ROW]
[ROW][C]26[/C][C]0.151534[/C][C]0.303068[/C][C]0.848466[/C][/ROW]
[ROW][C]27[/C][C]0.117466[/C][C]0.234931[/C][C]0.882534[/C][/ROW]
[ROW][C]28[/C][C]0.108627[/C][C]0.217253[/C][C]0.891373[/C][/ROW]
[ROW][C]29[/C][C]0.106507[/C][C]0.213015[/C][C]0.893493[/C][/ROW]
[ROW][C]30[/C][C]0.093054[/C][C]0.186108[/C][C]0.906946[/C][/ROW]
[ROW][C]31[/C][C]0.0740865[/C][C]0.148173[/C][C]0.925913[/C][/ROW]
[ROW][C]32[/C][C]0.0693513[/C][C]0.138703[/C][C]0.930649[/C][/ROW]
[ROW][C]33[/C][C]0.0549836[/C][C]0.109967[/C][C]0.945016[/C][/ROW]
[ROW][C]34[/C][C]0.12719[/C][C]0.254379[/C][C]0.87281[/C][/ROW]
[ROW][C]35[/C][C]0.103471[/C][C]0.206941[/C][C]0.896529[/C][/ROW]
[ROW][C]36[/C][C]0.0830207[/C][C]0.166041[/C][C]0.916979[/C][/ROW]
[ROW][C]37[/C][C]0.0657493[/C][C]0.131499[/C][C]0.934251[/C][/ROW]
[ROW][C]38[/C][C]0.0514397[/C][C]0.102879[/C][C]0.94856[/C][/ROW]
[ROW][C]39[/C][C]0.0397153[/C][C]0.0794305[/C][C]0.960285[/C][/ROW]
[ROW][C]40[/C][C]0.0522393[/C][C]0.104479[/C][C]0.947761[/C][/ROW]
[ROW][C]41[/C][C]0.0455653[/C][C]0.0911305[/C][C]0.954435[/C][/ROW]
[ROW][C]42[/C][C]0.0351713[/C][C]0.0703427[/C][C]0.964829[/C][/ROW]
[ROW][C]43[/C][C]0.054842[/C][C]0.109684[/C][C]0.945158[/C][/ROW]
[ROW][C]44[/C][C]0.0452213[/C][C]0.0904425[/C][C]0.954779[/C][/ROW]
[ROW][C]45[/C][C]0.0409026[/C][C]0.0818052[/C][C]0.959097[/C][/ROW]
[ROW][C]46[/C][C]0.0317585[/C][C]0.0635171[/C][C]0.968241[/C][/ROW]
[ROW][C]47[/C][C]0.0303399[/C][C]0.0606798[/C][C]0.96966[/C][/ROW]
[ROW][C]48[/C][C]0.023471[/C][C]0.046942[/C][C]0.976529[/C][/ROW]
[ROW][C]49[/C][C]0.0186446[/C][C]0.0372891[/C][C]0.981355[/C][/ROW]
[ROW][C]50[/C][C]0.0183761[/C][C]0.0367522[/C][C]0.981624[/C][/ROW]
[ROW][C]51[/C][C]0.0152359[/C][C]0.0304718[/C][C]0.984764[/C][/ROW]
[ROW][C]52[/C][C]0.0160726[/C][C]0.0321451[/C][C]0.983927[/C][/ROW]
[ROW][C]53[/C][C]0.0128623[/C][C]0.0257246[/C][C]0.987138[/C][/ROW]
[ROW][C]54[/C][C]0.0143498[/C][C]0.0286996[/C][C]0.98565[/C][/ROW]
[ROW][C]55[/C][C]0.0113117[/C][C]0.0226235[/C][C]0.988688[/C][/ROW]
[ROW][C]56[/C][C]0.0101923[/C][C]0.0203846[/C][C]0.989808[/C][/ROW]
[ROW][C]57[/C][C]0.0103587[/C][C]0.0207174[/C][C]0.989641[/C][/ROW]
[ROW][C]58[/C][C]0.00797564[/C][C]0.0159513[/C][C]0.992024[/C][/ROW]
[ROW][C]59[/C][C]0.0157904[/C][C]0.0315808[/C][C]0.98421[/C][/ROW]
[ROW][C]60[/C][C]0.0209064[/C][C]0.0418128[/C][C]0.979094[/C][/ROW]
[ROW][C]61[/C][C]0.0171197[/C][C]0.0342393[/C][C]0.98288[/C][/ROW]
[ROW][C]62[/C][C]0.0154776[/C][C]0.0309552[/C][C]0.984522[/C][/ROW]
[ROW][C]63[/C][C]0.0189542[/C][C]0.0379084[/C][C]0.981046[/C][/ROW]
[ROW][C]64[/C][C]0.0180021[/C][C]0.0360042[/C][C]0.981998[/C][/ROW]
[ROW][C]65[/C][C]0.0217153[/C][C]0.0434305[/C][C]0.978285[/C][/ROW]
[ROW][C]66[/C][C]0.0295865[/C][C]0.059173[/C][C]0.970413[/C][/ROW]
[ROW][C]67[/C][C]0.0272474[/C][C]0.0544948[/C][C]0.972753[/C][/ROW]
[ROW][C]68[/C][C]0.0230131[/C][C]0.0460262[/C][C]0.976987[/C][/ROW]
[ROW][C]69[/C][C]0.0196536[/C][C]0.0393072[/C][C]0.980346[/C][/ROW]
[ROW][C]70[/C][C]0.0171767[/C][C]0.0343534[/C][C]0.982823[/C][/ROW]
[ROW][C]71[/C][C]0.0242717[/C][C]0.0485434[/C][C]0.975728[/C][/ROW]
[ROW][C]72[/C][C]0.0209669[/C][C]0.0419337[/C][C]0.979033[/C][/ROW]
[ROW][C]73[/C][C]0.017812[/C][C]0.0356241[/C][C]0.982188[/C][/ROW]
[ROW][C]74[/C][C]0.0145713[/C][C]0.0291426[/C][C]0.985429[/C][/ROW]
[ROW][C]75[/C][C]0.0158548[/C][C]0.0317095[/C][C]0.984145[/C][/ROW]
[ROW][C]76[/C][C]0.0158256[/C][C]0.0316513[/C][C]0.984174[/C][/ROW]
[ROW][C]77[/C][C]0.0258378[/C][C]0.0516756[/C][C]0.974162[/C][/ROW]
[ROW][C]78[/C][C]0.0226158[/C][C]0.0452315[/C][C]0.977384[/C][/ROW]
[ROW][C]79[/C][C]0.0195589[/C][C]0.0391177[/C][C]0.980441[/C][/ROW]
[ROW][C]80[/C][C]0.0177536[/C][C]0.0355071[/C][C]0.982246[/C][/ROW]
[ROW][C]81[/C][C]0.0155389[/C][C]0.0310778[/C][C]0.984461[/C][/ROW]
[ROW][C]82[/C][C]0.0127592[/C][C]0.0255185[/C][C]0.987241[/C][/ROW]
[ROW][C]83[/C][C]0.0177616[/C][C]0.0355232[/C][C]0.982238[/C][/ROW]
[ROW][C]84[/C][C]0.0151313[/C][C]0.0302625[/C][C]0.984869[/C][/ROW]
[ROW][C]85[/C][C]0.0155043[/C][C]0.0310086[/C][C]0.984496[/C][/ROW]
[ROW][C]86[/C][C]0.0134851[/C][C]0.0269703[/C][C]0.986515[/C][/ROW]
[ROW][C]87[/C][C]0.0348871[/C][C]0.0697741[/C][C]0.965113[/C][/ROW]
[ROW][C]88[/C][C]0.0320014[/C][C]0.0640027[/C][C]0.967999[/C][/ROW]
[ROW][C]89[/C][C]0.028634[/C][C]0.057268[/C][C]0.971366[/C][/ROW]
[ROW][C]90[/C][C]0.0239747[/C][C]0.0479495[/C][C]0.976025[/C][/ROW]
[ROW][C]91[/C][C]0.0209164[/C][C]0.0418328[/C][C]0.979084[/C][/ROW]
[ROW][C]92[/C][C]0.021576[/C][C]0.0431519[/C][C]0.978424[/C][/ROW]
[ROW][C]93[/C][C]0.0207776[/C][C]0.0415552[/C][C]0.979222[/C][/ROW]
[ROW][C]94[/C][C]0.0189531[/C][C]0.0379062[/C][C]0.981047[/C][/ROW]
[ROW][C]95[/C][C]0.0344483[/C][C]0.0688967[/C][C]0.965552[/C][/ROW]
[ROW][C]96[/C][C]0.0351034[/C][C]0.0702067[/C][C]0.964897[/C][/ROW]
[ROW][C]97[/C][C]0.0347392[/C][C]0.0694785[/C][C]0.965261[/C][/ROW]
[ROW][C]98[/C][C]0.0370612[/C][C]0.0741224[/C][C]0.962939[/C][/ROW]
[ROW][C]99[/C][C]0.0347118[/C][C]0.0694236[/C][C]0.965288[/C][/ROW]
[ROW][C]100[/C][C]0.0458819[/C][C]0.0917639[/C][C]0.954118[/C][/ROW]
[ROW][C]101[/C][C]0.0422782[/C][C]0.0845564[/C][C]0.957722[/C][/ROW]
[ROW][C]102[/C][C]0.0487595[/C][C]0.097519[/C][C]0.951241[/C][/ROW]
[ROW][C]103[/C][C]0.0564318[/C][C]0.112864[/C][C]0.943568[/C][/ROW]
[ROW][C]104[/C][C]0.0503449[/C][C]0.10069[/C][C]0.949655[/C][/ROW]
[ROW][C]105[/C][C]0.0458164[/C][C]0.0916327[/C][C]0.954184[/C][/ROW]
[ROW][C]106[/C][C]0.0448612[/C][C]0.0897223[/C][C]0.955139[/C][/ROW]
[ROW][C]107[/C][C]0.0431322[/C][C]0.0862644[/C][C]0.956868[/C][/ROW]
[ROW][C]108[/C][C]0.0475741[/C][C]0.0951482[/C][C]0.952426[/C][/ROW]
[ROW][C]109[/C][C]0.0543362[/C][C]0.108672[/C][C]0.945664[/C][/ROW]
[ROW][C]110[/C][C]0.0531497[/C][C]0.106299[/C][C]0.94685[/C][/ROW]
[ROW][C]111[/C][C]0.131781[/C][C]0.263562[/C][C]0.868219[/C][/ROW]
[ROW][C]112[/C][C]0.192033[/C][C]0.384066[/C][C]0.807967[/C][/ROW]
[ROW][C]113[/C][C]0.211695[/C][C]0.42339[/C][C]0.788305[/C][/ROW]
[ROW][C]114[/C][C]0.200506[/C][C]0.401012[/C][C]0.799494[/C][/ROW]
[ROW][C]115[/C][C]0.185275[/C][C]0.37055[/C][C]0.814725[/C][/ROW]
[ROW][C]116[/C][C]0.347555[/C][C]0.695109[/C][C]0.652445[/C][/ROW]
[ROW][C]117[/C][C]0.334542[/C][C]0.669085[/C][C]0.665458[/C][/ROW]
[ROW][C]118[/C][C]0.526263[/C][C]0.947473[/C][C]0.473737[/C][/ROW]
[ROW][C]119[/C][C]0.681564[/C][C]0.636873[/C][C]0.318436[/C][/ROW]
[ROW][C]120[/C][C]0.689683[/C][C]0.620633[/C][C]0.310317[/C][/ROW]
[ROW][C]121[/C][C]0.685022[/C][C]0.629956[/C][C]0.314978[/C][/ROW]
[ROW][C]122[/C][C]0.707764[/C][C]0.584473[/C][C]0.292236[/C][/ROW]
[ROW][C]123[/C][C]0.776172[/C][C]0.447657[/C][C]0.223828[/C][/ROW]
[ROW][C]124[/C][C]0.793612[/C][C]0.412777[/C][C]0.206388[/C][/ROW]
[ROW][C]125[/C][C]0.800157[/C][C]0.399685[/C][C]0.199843[/C][/ROW]
[ROW][C]126[/C][C]0.837029[/C][C]0.325941[/C][C]0.162971[/C][/ROW]
[ROW][C]127[/C][C]0.869703[/C][C]0.260593[/C][C]0.130297[/C][/ROW]
[ROW][C]128[/C][C]0.864672[/C][C]0.270656[/C][C]0.135328[/C][/ROW]
[ROW][C]129[/C][C]0.855806[/C][C]0.288388[/C][C]0.144194[/C][/ROW]
[ROW][C]130[/C][C]0.881112[/C][C]0.237776[/C][C]0.118888[/C][/ROW]
[ROW][C]131[/C][C]0.871315[/C][C]0.25737[/C][C]0.128685[/C][/ROW]
[ROW][C]132[/C][C]0.91287[/C][C]0.17426[/C][C]0.0871301[/C][/ROW]
[ROW][C]133[/C][C]0.912616[/C][C]0.174768[/C][C]0.0873838[/C][/ROW]
[ROW][C]134[/C][C]0.914824[/C][C]0.170352[/C][C]0.0851762[/C][/ROW]
[ROW][C]135[/C][C]0.91254[/C][C]0.174921[/C][C]0.0874604[/C][/ROW]
[ROW][C]136[/C][C]0.915891[/C][C]0.168217[/C][C]0.0841086[/C][/ROW]
[ROW][C]137[/C][C]0.913618[/C][C]0.172764[/C][C]0.0863822[/C][/ROW]
[ROW][C]138[/C][C]0.902602[/C][C]0.194797[/C][C]0.0973984[/C][/ROW]
[ROW][C]139[/C][C]0.891653[/C][C]0.216694[/C][C]0.108347[/C][/ROW]
[ROW][C]140[/C][C]0.925023[/C][C]0.149954[/C][C]0.0749768[/C][/ROW]
[ROW][C]141[/C][C]0.930456[/C][C]0.139088[/C][C]0.0695441[/C][/ROW]
[ROW][C]142[/C][C]0.942542[/C][C]0.114917[/C][C]0.0574583[/C][/ROW]
[ROW][C]143[/C][C]0.936395[/C][C]0.127211[/C][C]0.0636053[/C][/ROW]
[ROW][C]144[/C][C]0.927304[/C][C]0.145393[/C][C]0.0726965[/C][/ROW]
[ROW][C]145[/C][C]0.970451[/C][C]0.0590987[/C][C]0.0295493[/C][/ROW]
[ROW][C]146[/C][C]0.969213[/C][C]0.0615747[/C][C]0.0307873[/C][/ROW]
[ROW][C]147[/C][C]0.979815[/C][C]0.0403702[/C][C]0.0201851[/C][/ROW]
[ROW][C]148[/C][C]0.982438[/C][C]0.0351234[/C][C]0.0175617[/C][/ROW]
[ROW][C]149[/C][C]0.982426[/C][C]0.0351486[/C][C]0.0175743[/C][/ROW]
[ROW][C]150[/C][C]0.98161[/C][C]0.0367809[/C][C]0.0183905[/C][/ROW]
[ROW][C]151[/C][C]0.978025[/C][C]0.0439505[/C][C]0.0219752[/C][/ROW]
[ROW][C]152[/C][C]0.974205[/C][C]0.0515905[/C][C]0.0257953[/C][/ROW]
[ROW][C]153[/C][C]0.970404[/C][C]0.0591924[/C][C]0.0295962[/C][/ROW]
[ROW][C]154[/C][C]0.966366[/C][C]0.067268[/C][C]0.033634[/C][/ROW]
[ROW][C]155[/C][C]0.978818[/C][C]0.0423636[/C][C]0.0211818[/C][/ROW]
[ROW][C]156[/C][C]0.980166[/C][C]0.0396682[/C][C]0.0198341[/C][/ROW]
[ROW][C]157[/C][C]0.977045[/C][C]0.0459092[/C][C]0.0229546[/C][/ROW]
[ROW][C]158[/C][C]0.985099[/C][C]0.0298025[/C][C]0.0149013[/C][/ROW]
[ROW][C]159[/C][C]0.985433[/C][C]0.0291348[/C][C]0.0145674[/C][/ROW]
[ROW][C]160[/C][C]0.984268[/C][C]0.031464[/C][C]0.015732[/C][/ROW]
[ROW][C]161[/C][C]0.981277[/C][C]0.0374466[/C][C]0.0187233[/C][/ROW]
[ROW][C]162[/C][C]0.981648[/C][C]0.0367031[/C][C]0.0183515[/C][/ROW]
[ROW][C]163[/C][C]0.980634[/C][C]0.0387321[/C][C]0.019366[/C][/ROW]
[ROW][C]164[/C][C]0.979665[/C][C]0.0406706[/C][C]0.0203353[/C][/ROW]
[ROW][C]165[/C][C]0.977625[/C][C]0.0447501[/C][C]0.0223751[/C][/ROW]
[ROW][C]166[/C][C]0.976595[/C][C]0.04681[/C][C]0.023405[/C][/ROW]
[ROW][C]167[/C][C]0.976859[/C][C]0.0462813[/C][C]0.0231406[/C][/ROW]
[ROW][C]168[/C][C]0.974328[/C][C]0.0513449[/C][C]0.0256725[/C][/ROW]
[ROW][C]169[/C][C]0.977657[/C][C]0.044686[/C][C]0.022343[/C][/ROW]
[ROW][C]170[/C][C]0.976988[/C][C]0.0460238[/C][C]0.0230119[/C][/ROW]
[ROW][C]171[/C][C]0.972271[/C][C]0.0554589[/C][C]0.0277294[/C][/ROW]
[ROW][C]172[/C][C]0.973094[/C][C]0.0538113[/C][C]0.0269056[/C][/ROW]
[ROW][C]173[/C][C]0.97735[/C][C]0.0453003[/C][C]0.0226501[/C][/ROW]
[ROW][C]174[/C][C]0.973178[/C][C]0.0536446[/C][C]0.0268223[/C][/ROW]
[ROW][C]175[/C][C]0.978506[/C][C]0.0429881[/C][C]0.0214941[/C][/ROW]
[ROW][C]176[/C][C]0.977203[/C][C]0.0455937[/C][C]0.0227969[/C][/ROW]
[ROW][C]177[/C][C]0.978637[/C][C]0.0427254[/C][C]0.0213627[/C][/ROW]
[ROW][C]178[/C][C]0.974057[/C][C]0.0518857[/C][C]0.0259428[/C][/ROW]
[ROW][C]179[/C][C]0.972412[/C][C]0.0551764[/C][C]0.0275882[/C][/ROW]
[ROW][C]180[/C][C]0.971064[/C][C]0.057872[/C][C]0.028936[/C][/ROW]
[ROW][C]181[/C][C]0.97584[/C][C]0.0483197[/C][C]0.0241599[/C][/ROW]
[ROW][C]182[/C][C]0.97153[/C][C]0.0569408[/C][C]0.0284704[/C][/ROW]
[ROW][C]183[/C][C]0.980917[/C][C]0.0381658[/C][C]0.0190829[/C][/ROW]
[ROW][C]184[/C][C]0.977613[/C][C]0.044775[/C][C]0.0223875[/C][/ROW]
[ROW][C]185[/C][C]0.986208[/C][C]0.0275839[/C][C]0.013792[/C][/ROW]
[ROW][C]186[/C][C]0.989692[/C][C]0.0206153[/C][C]0.0103077[/C][/ROW]
[ROW][C]187[/C][C]0.987434[/C][C]0.0251324[/C][C]0.0125662[/C][/ROW]
[ROW][C]188[/C][C]0.990942[/C][C]0.0181168[/C][C]0.00905841[/C][/ROW]
[ROW][C]189[/C][C]0.989195[/C][C]0.0216102[/C][C]0.0108051[/C][/ROW]
[ROW][C]190[/C][C]0.986374[/C][C]0.0272525[/C][C]0.0136262[/C][/ROW]
[ROW][C]191[/C][C]0.983348[/C][C]0.0333041[/C][C]0.0166521[/C][/ROW]
[ROW][C]192[/C][C]0.986626[/C][C]0.0267488[/C][C]0.0133744[/C][/ROW]
[ROW][C]193[/C][C]0.984047[/C][C]0.0319066[/C][C]0.0159533[/C][/ROW]
[ROW][C]194[/C][C]0.980062[/C][C]0.039876[/C][C]0.019938[/C][/ROW]
[ROW][C]195[/C][C]0.975422[/C][C]0.0491566[/C][C]0.0245783[/C][/ROW]
[ROW][C]196[/C][C]0.973545[/C][C]0.0529099[/C][C]0.0264549[/C][/ROW]
[ROW][C]197[/C][C]0.971658[/C][C]0.0566831[/C][C]0.0283416[/C][/ROW]
[ROW][C]198[/C][C]0.971029[/C][C]0.0579425[/C][C]0.0289712[/C][/ROW]
[ROW][C]199[/C][C]0.978107[/C][C]0.0437852[/C][C]0.0218926[/C][/ROW]
[ROW][C]200[/C][C]0.97341[/C][C]0.0531805[/C][C]0.0265903[/C][/ROW]
[ROW][C]201[/C][C]0.966891[/C][C]0.0662186[/C][C]0.0331093[/C][/ROW]
[ROW][C]202[/C][C]0.961278[/C][C]0.0774432[/C][C]0.0387216[/C][/ROW]
[ROW][C]203[/C][C]0.954306[/C][C]0.0913889[/C][C]0.0456945[/C][/ROW]
[ROW][C]204[/C][C]0.948756[/C][C]0.102488[/C][C]0.0512441[/C][/ROW]
[ROW][C]205[/C][C]0.941309[/C][C]0.117383[/C][C]0.0586914[/C][/ROW]
[ROW][C]206[/C][C]0.942271[/C][C]0.115459[/C][C]0.0577294[/C][/ROW]
[ROW][C]207[/C][C]0.930648[/C][C]0.138703[/C][C]0.0693517[/C][/ROW]
[ROW][C]208[/C][C]0.918597[/C][C]0.162807[/C][C]0.0814033[/C][/ROW]
[ROW][C]209[/C][C]0.908282[/C][C]0.183436[/C][C]0.0917182[/C][/ROW]
[ROW][C]210[/C][C]0.897439[/C][C]0.205122[/C][C]0.102561[/C][/ROW]
[ROW][C]211[/C][C]0.883738[/C][C]0.232524[/C][C]0.116262[/C][/ROW]
[ROW][C]212[/C][C]0.885958[/C][C]0.228085[/C][C]0.114042[/C][/ROW]
[ROW][C]213[/C][C]0.865368[/C][C]0.269265[/C][C]0.134632[/C][/ROW]
[ROW][C]214[/C][C]0.843541[/C][C]0.312918[/C][C]0.156459[/C][/ROW]
[ROW][C]215[/C][C]0.853198[/C][C]0.293605[/C][C]0.146802[/C][/ROW]
[ROW][C]216[/C][C]0.848622[/C][C]0.302756[/C][C]0.151378[/C][/ROW]
[ROW][C]217[/C][C]0.836051[/C][C]0.327899[/C][C]0.163949[/C][/ROW]
[ROW][C]218[/C][C]0.835168[/C][C]0.329664[/C][C]0.164832[/C][/ROW]
[ROW][C]219[/C][C]0.847839[/C][C]0.304323[/C][C]0.152161[/C][/ROW]
[ROW][C]220[/C][C]0.825296[/C][C]0.349409[/C][C]0.174704[/C][/ROW]
[ROW][C]221[/C][C]0.802425[/C][C]0.39515[/C][C]0.197575[/C][/ROW]
[ROW][C]222[/C][C]0.772559[/C][C]0.454882[/C][C]0.227441[/C][/ROW]
[ROW][C]223[/C][C]0.75822[/C][C]0.483561[/C][C]0.24178[/C][/ROW]
[ROW][C]224[/C][C]0.727678[/C][C]0.544643[/C][C]0.272322[/C][/ROW]
[ROW][C]225[/C][C]0.799096[/C][C]0.401807[/C][C]0.200904[/C][/ROW]
[ROW][C]226[/C][C]0.781752[/C][C]0.436497[/C][C]0.218248[/C][/ROW]
[ROW][C]227[/C][C]0.750664[/C][C]0.498673[/C][C]0.249336[/C][/ROW]
[ROW][C]228[/C][C]0.778448[/C][C]0.443103[/C][C]0.221552[/C][/ROW]
[ROW][C]229[/C][C]0.862293[/C][C]0.275414[/C][C]0.137707[/C][/ROW]
[ROW][C]230[/C][C]0.837707[/C][C]0.324585[/C][C]0.162293[/C][/ROW]
[ROW][C]231[/C][C]0.876923[/C][C]0.246154[/C][C]0.123077[/C][/ROW]
[ROW][C]232[/C][C]0.893832[/C][C]0.212337[/C][C]0.106168[/C][/ROW]
[ROW][C]233[/C][C]0.87855[/C][C]0.242901[/C][C]0.12145[/C][/ROW]
[ROW][C]234[/C][C]0.902778[/C][C]0.194444[/C][C]0.0972222[/C][/ROW]
[ROW][C]235[/C][C]0.907516[/C][C]0.184969[/C][C]0.0924845[/C][/ROW]
[ROW][C]236[/C][C]0.89877[/C][C]0.202459[/C][C]0.10123[/C][/ROW]
[ROW][C]237[/C][C]0.924309[/C][C]0.151381[/C][C]0.0756907[/C][/ROW]
[ROW][C]238[/C][C]0.97574[/C][C]0.0485196[/C][C]0.0242598[/C][/ROW]
[ROW][C]239[/C][C]0.969088[/C][C]0.0618249[/C][C]0.0309124[/C][/ROW]
[ROW][C]240[/C][C]0.961151[/C][C]0.0776976[/C][C]0.0388488[/C][/ROW]
[ROW][C]241[/C][C]0.952075[/C][C]0.0958504[/C][C]0.0479252[/C][/ROW]
[ROW][C]242[/C][C]0.938401[/C][C]0.123198[/C][C]0.0615992[/C][/ROW]
[ROW][C]243[/C][C]0.987514[/C][C]0.0249716[/C][C]0.0124858[/C][/ROW]
[ROW][C]244[/C][C]0.98247[/C][C]0.0350609[/C][C]0.0175305[/C][/ROW]
[ROW][C]245[/C][C]0.976227[/C][C]0.0475461[/C][C]0.0237731[/C][/ROW]
[ROW][C]246[/C][C]0.97151[/C][C]0.0569804[/C][C]0.0284902[/C][/ROW]
[ROW][C]247[/C][C]0.962007[/C][C]0.0759859[/C][C]0.0379929[/C][/ROW]
[ROW][C]248[/C][C]0.955955[/C][C]0.0880899[/C][C]0.0440449[/C][/ROW]
[ROW][C]249[/C][C]0.948168[/C][C]0.103663[/C][C]0.0518317[/C][/ROW]
[ROW][C]250[/C][C]0.943398[/C][C]0.113204[/C][C]0.056602[/C][/ROW]
[ROW][C]251[/C][C]0.934123[/C][C]0.131754[/C][C]0.065877[/C][/ROW]
[ROW][C]252[/C][C]0.974183[/C][C]0.0516341[/C][C]0.0258171[/C][/ROW]
[ROW][C]253[/C][C]0.963941[/C][C]0.0721185[/C][C]0.0360592[/C][/ROW]
[ROW][C]254[/C][C]0.951729[/C][C]0.0965429[/C][C]0.0482715[/C][/ROW]
[ROW][C]255[/C][C]0.935326[/C][C]0.129348[/C][C]0.0646739[/C][/ROW]
[ROW][C]256[/C][C]0.929403[/C][C]0.141195[/C][C]0.0705973[/C][/ROW]
[ROW][C]257[/C][C]0.905503[/C][C]0.188994[/C][C]0.0944972[/C][/ROW]
[ROW][C]258[/C][C]0.893923[/C][C]0.212154[/C][C]0.106077[/C][/ROW]
[ROW][C]259[/C][C]0.869385[/C][C]0.26123[/C][C]0.130615[/C][/ROW]
[ROW][C]260[/C][C]0.887615[/C][C]0.224771[/C][C]0.112385[/C][/ROW]
[ROW][C]261[/C][C]0.855164[/C][C]0.289672[/C][C]0.144836[/C][/ROW]
[ROW][C]262[/C][C]0.823171[/C][C]0.353659[/C][C]0.176829[/C][/ROW]
[ROW][C]263[/C][C]0.774434[/C][C]0.451131[/C][C]0.225566[/C][/ROW]
[ROW][C]264[/C][C]0.717551[/C][C]0.564898[/C][C]0.282449[/C][/ROW]
[ROW][C]265[/C][C]0.717876[/C][C]0.564247[/C][C]0.282124[/C][/ROW]
[ROW][C]266[/C][C]0.900885[/C][C]0.198229[/C][C]0.0991146[/C][/ROW]
[ROW][C]267[/C][C]0.932373[/C][C]0.135254[/C][C]0.0676272[/C][/ROW]
[ROW][C]268[/C][C]0.972723[/C][C]0.054554[/C][C]0.027277[/C][/ROW]
[ROW][C]269[/C][C]0.954433[/C][C]0.0911333[/C][C]0.0455666[/C][/ROW]
[ROW][C]270[/C][C]0.979019[/C][C]0.0419618[/C][C]0.0209809[/C][/ROW]
[ROW][C]271[/C][C]0.965664[/C][C]0.0686723[/C][C]0.0343361[/C][/ROW]
[ROW][C]272[/C][C]0.96753[/C][C]0.0649395[/C][C]0.0324697[/C][/ROW]
[ROW][C]273[/C][C]0.943497[/C][C]0.113005[/C][C]0.0565026[/C][/ROW]
[ROW][C]274[/C][C]0.901999[/C][C]0.196001[/C][C]0.0980006[/C][/ROW]
[ROW][C]275[/C][C]0.838593[/C][C]0.322815[/C][C]0.161407[/C][/ROW]
[ROW][C]276[/C][C]0.743217[/C][C]0.513565[/C][C]0.256783[/C][/ROW]
[ROW][C]277[/C][C]0.85528[/C][C]0.28944[/C][C]0.14472[/C][/ROW]
[ROW][C]278[/C][C]0.743096[/C][C]0.513808[/C][C]0.256904[/C][/ROW]
[ROW][C]279[/C][C]0.708772[/C][C]0.582456[/C][C]0.291228[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265699&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265699&T=5

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


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

Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
80.6360650.7278690.363935
90.6658220.6683550.334178
100.5744550.8510890.425545
110.5267430.9465140.473257
120.4646920.9293840.535308
130.6240020.7519970.375998
140.5437520.9124960.456248
150.4559330.9118670.544067
160.4988020.9976040.501198
170.4280830.8561660.571917
180.3594080.7188170.640592
190.2944370.5888750.705563
200.2321440.4642880.767856
210.1794160.3588310.820584
220.1516360.3032720.848364
230.2514570.5029130.748543
240.1998640.3997280.800136
250.1928010.3856020.807199
260.1515340.3030680.848466
270.1174660.2349310.882534
280.1086270.2172530.891373
290.1065070.2130150.893493
300.0930540.1861080.906946
310.07408650.1481730.925913
320.06935130.1387030.930649
330.05498360.1099670.945016
340.127190.2543790.87281
350.1034710.2069410.896529
360.08302070.1660410.916979
370.06574930.1314990.934251
380.05143970.1028790.94856
390.03971530.07943050.960285
400.05223930.1044790.947761
410.04556530.09113050.954435
420.03517130.07034270.964829
430.0548420.1096840.945158
440.04522130.09044250.954779
450.04090260.08180520.959097
460.03175850.06351710.968241
470.03033990.06067980.96966
480.0234710.0469420.976529
490.01864460.03728910.981355
500.01837610.03675220.981624
510.01523590.03047180.984764
520.01607260.03214510.983927
530.01286230.02572460.987138
540.01434980.02869960.98565
550.01131170.02262350.988688
560.01019230.02038460.989808
570.01035870.02071740.989641
580.007975640.01595130.992024
590.01579040.03158080.98421
600.02090640.04181280.979094
610.01711970.03423930.98288
620.01547760.03095520.984522
630.01895420.03790840.981046
640.01800210.03600420.981998
650.02171530.04343050.978285
660.02958650.0591730.970413
670.02724740.05449480.972753
680.02301310.04602620.976987
690.01965360.03930720.980346
700.01717670.03435340.982823
710.02427170.04854340.975728
720.02096690.04193370.979033
730.0178120.03562410.982188
740.01457130.02914260.985429
750.01585480.03170950.984145
760.01582560.03165130.984174
770.02583780.05167560.974162
780.02261580.04523150.977384
790.01955890.03911770.980441
800.01775360.03550710.982246
810.01553890.03107780.984461
820.01275920.02551850.987241
830.01776160.03552320.982238
840.01513130.03026250.984869
850.01550430.03100860.984496
860.01348510.02697030.986515
870.03488710.06977410.965113
880.03200140.06400270.967999
890.0286340.0572680.971366
900.02397470.04794950.976025
910.02091640.04183280.979084
920.0215760.04315190.978424
930.02077760.04155520.979222
940.01895310.03790620.981047
950.03444830.06889670.965552
960.03510340.07020670.964897
970.03473920.06947850.965261
980.03706120.07412240.962939
990.03471180.06942360.965288
1000.04588190.09176390.954118
1010.04227820.08455640.957722
1020.04875950.0975190.951241
1030.05643180.1128640.943568
1040.05034490.100690.949655
1050.04581640.09163270.954184
1060.04486120.08972230.955139
1070.04313220.08626440.956868
1080.04757410.09514820.952426
1090.05433620.1086720.945664
1100.05314970.1062990.94685
1110.1317810.2635620.868219
1120.1920330.3840660.807967
1130.2116950.423390.788305
1140.2005060.4010120.799494
1150.1852750.370550.814725
1160.3475550.6951090.652445
1170.3345420.6690850.665458
1180.5262630.9474730.473737
1190.6815640.6368730.318436
1200.6896830.6206330.310317
1210.6850220.6299560.314978
1220.7077640.5844730.292236
1230.7761720.4476570.223828
1240.7936120.4127770.206388
1250.8001570.3996850.199843
1260.8370290.3259410.162971
1270.8697030.2605930.130297
1280.8646720.2706560.135328
1290.8558060.2883880.144194
1300.8811120.2377760.118888
1310.8713150.257370.128685
1320.912870.174260.0871301
1330.9126160.1747680.0873838
1340.9148240.1703520.0851762
1350.912540.1749210.0874604
1360.9158910.1682170.0841086
1370.9136180.1727640.0863822
1380.9026020.1947970.0973984
1390.8916530.2166940.108347
1400.9250230.1499540.0749768
1410.9304560.1390880.0695441
1420.9425420.1149170.0574583
1430.9363950.1272110.0636053
1440.9273040.1453930.0726965
1450.9704510.05909870.0295493
1460.9692130.06157470.0307873
1470.9798150.04037020.0201851
1480.9824380.03512340.0175617
1490.9824260.03514860.0175743
1500.981610.03678090.0183905
1510.9780250.04395050.0219752
1520.9742050.05159050.0257953
1530.9704040.05919240.0295962
1540.9663660.0672680.033634
1550.9788180.04236360.0211818
1560.9801660.03966820.0198341
1570.9770450.04590920.0229546
1580.9850990.02980250.0149013
1590.9854330.02913480.0145674
1600.9842680.0314640.015732
1610.9812770.03744660.0187233
1620.9816480.03670310.0183515
1630.9806340.03873210.019366
1640.9796650.04067060.0203353
1650.9776250.04475010.0223751
1660.9765950.046810.023405
1670.9768590.04628130.0231406
1680.9743280.05134490.0256725
1690.9776570.0446860.022343
1700.9769880.04602380.0230119
1710.9722710.05545890.0277294
1720.9730940.05381130.0269056
1730.977350.04530030.0226501
1740.9731780.05364460.0268223
1750.9785060.04298810.0214941
1760.9772030.04559370.0227969
1770.9786370.04272540.0213627
1780.9740570.05188570.0259428
1790.9724120.05517640.0275882
1800.9710640.0578720.028936
1810.975840.04831970.0241599
1820.971530.05694080.0284704
1830.9809170.03816580.0190829
1840.9776130.0447750.0223875
1850.9862080.02758390.013792
1860.9896920.02061530.0103077
1870.9874340.02513240.0125662
1880.9909420.01811680.00905841
1890.9891950.02161020.0108051
1900.9863740.02725250.0136262
1910.9833480.03330410.0166521
1920.9866260.02674880.0133744
1930.9840470.03190660.0159533
1940.9800620.0398760.019938
1950.9754220.04915660.0245783
1960.9735450.05290990.0264549
1970.9716580.05668310.0283416
1980.9710290.05794250.0289712
1990.9781070.04378520.0218926
2000.973410.05318050.0265903
2010.9668910.06621860.0331093
2020.9612780.07744320.0387216
2030.9543060.09138890.0456945
2040.9487560.1024880.0512441
2050.9413090.1173830.0586914
2060.9422710.1154590.0577294
2070.9306480.1387030.0693517
2080.9185970.1628070.0814033
2090.9082820.1834360.0917182
2100.8974390.2051220.102561
2110.8837380.2325240.116262
2120.8859580.2280850.114042
2130.8653680.2692650.134632
2140.8435410.3129180.156459
2150.8531980.2936050.146802
2160.8486220.3027560.151378
2170.8360510.3278990.163949
2180.8351680.3296640.164832
2190.8478390.3043230.152161
2200.8252960.3494090.174704
2210.8024250.395150.197575
2220.7725590.4548820.227441
2230.758220.4835610.24178
2240.7276780.5446430.272322
2250.7990960.4018070.200904
2260.7817520.4364970.218248
2270.7506640.4986730.249336
2280.7784480.4431030.221552
2290.8622930.2754140.137707
2300.8377070.3245850.162293
2310.8769230.2461540.123077
2320.8938320.2123370.106168
2330.878550.2429010.12145
2340.9027780.1944440.0972222
2350.9075160.1849690.0924845
2360.898770.2024590.10123
2370.9243090.1513810.0756907
2380.975740.04851960.0242598
2390.9690880.06182490.0309124
2400.9611510.07769760.0388488
2410.9520750.09585040.0479252
2420.9384010.1231980.0615992
2430.9875140.02497160.0124858
2440.982470.03506090.0175305
2450.9762270.04754610.0237731
2460.971510.05698040.0284902
2470.9620070.07598590.0379929
2480.9559550.08808990.0440449
2490.9481680.1036630.0518317
2500.9433980.1132040.056602
2510.9341230.1317540.065877
2520.9741830.05163410.0258171
2530.9639410.07211850.0360592
2540.9517290.09654290.0482715
2550.9353260.1293480.0646739
2560.9294030.1411950.0705973
2570.9055030.1889940.0944972
2580.8939230.2121540.106077
2590.8693850.261230.130615
2600.8876150.2247710.112385
2610.8551640.2896720.144836
2620.8231710.3536590.176829
2630.7744340.4511310.225566
2640.7175510.5648980.282449
2650.7178760.5642470.282124
2660.9008850.1982290.0991146
2670.9323730.1352540.0676272
2680.9727230.0545540.027277
2690.9544330.09113330.0455666
2700.9790190.04196180.0209809
2710.9656640.06867230.0343361
2720.967530.06493950.0324697
2730.9434970.1130050.0565026
2740.9019990.1960010.0980006
2750.8385930.3228150.161407
2760.7432170.5135650.256783
2770.855280.289440.14472
2780.7430960.5138080.256904
2790.7087720.5824560.291228






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level850.3125NOK
10% type I error level1430.525735NOK

\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 & 0 & 0 & OK \tabularnewline
5% type I error level & 85 & 0.3125 & NOK \tabularnewline
10% type I error level & 143 & 0.525735 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265699&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]0[/C][C]0[/C][C]OK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]85[/C][C]0.3125[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]143[/C][C]0.525735[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265699&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265699&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 level00OK
5% type I error level850.3125NOK
10% type I error level1430.525735NOK


Figures (Output of Computation)

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Input Parameters & R Code

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