FreeStatistics.org

Free Statistics

of Irreproducible Research!

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 computationWed, 20 Nov 2013 09:56:48 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2013/Nov/20/t1384959734j3gh5b8dq1pjpku.htm/, Retrieved Wed, 01 May 2024 13:55:07 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=226632, Retrieved Wed, 01 May 2024 13:55:07 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact78

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Multiple Regression] [Competence to learn] [2010-11-17 07:43:53] [b98453cac15ba1066b407e146608df68]
- R PD  [Multiple Regression] [Workshop 7 1] [2013-11-18 18:21:50] [cac6c5fb035463be46c296b46e439cb5]
- R PD      [Multiple Regression] [Workshop 7 monthl...] [2013-11-20 14:56:48] [37aff36f52ac1d7cbcd609d857f1662d] [Current]
-   P         [Multiple Regression] [Workshop 7 linear...] [2013-11-20 15:25:22] [cac6c5fb035463be46c296b46e439cb5]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
14 41 38 12 13
18 39 32 11 16
11 30 35 14 19
12 31 33 12 15
16 34 37 21 14
18 35 29 12 13
14 39 31 22 19
14 34 36 11 15
15 36 35 10 14
15 37 38 13 15
17 38 31 10 16
19 36 34 8 16
10 38 35 15 16
16 39 38 14 16
18 33 37 10 17
14 32 33 14 15
14 36 32 14 15
17 38 38 11 20
14 39 38 10 18
16 32 32 13 16
18 32 33 9.5 16
11 31 31 14 16
14 39 38 12 19
12 37 39 14 16
17 39 32 11 17
9 41 32 9 17
16 36 35 11 16
14 33 37 15 15
15 33 33 14 16
11 34 33 13 14
16 31 31 9 15
13 27 32 15 12
17 37 31 10 14
15 34 37 11 16
14 34 30 13 14
16 32 33 8 10
9 29 31 20 10
15 36 33 12 14
17 29 31 10 16
13 35 33 10 16
15 37 32 9 16
16 34 33 14 14
16 38 32 8 20
12 35 33 14 14
15 38 28 11 14
11 37 35 13 11
15 38 39 9 14
15 33 34 11 15
17 36 38 15 16
13 38 32 11 14
16 32 38 10 16
14 32 30 14 14
11 32 33 18 12
12 34 38 14 16
12 32 32 11 9
15 37 35 14.5 14
16 39 34 13 16
15 29 34 9 16
12 37 36 10 15
12 35 34 15 16
8 30 28 20 12
13 38 34 12 16
11 34 35 12 16
14 31 35 14 14
15 34 31 13 16
10 35 37 11 17
11 36 35 17 18
12 30 27 12 18
15 39 40 13 12
15 35 37 14 16
14 38 36 13 10
16 31 38 15 14
15 34 39 13 18
15 38 41 10 18
13 34 27 11 16
12 39 30 19 17
17 37 37 13 16
13 34 31 17 16
15 28 31 13 13
13 37 27 9 16
15 33 36 11 16
15 35 37 9 16
16 37 33 12 15
15 32 34 12 15
14 33 31 13 16
15 38 39 13 14
14 33 34 12 16
13 29 32 15 16
7 33 33 22 15
17 31 36 13 12
13 36 32 15 17
15 35 41 13 16
14 32 28 15 15
13 29 30 12.5 13
16 39 36 11 16
12 37 35 16 16
14 35 31 11 16
17 37 34 11 16
15 32 36 10 14
17 38 36 10 16
12 37 35 16 16
16 36 37 12 20
11 32 28 11 15
15 33 39 16 16
9 40 32 19 13
16 38 35 11 17
15 41 39 16 16
10 36 35 15 16
10 43 42 24 12
15 30 34 14 16
11 31 33 15 16
13 32 41 11 17
14 32 33 15 13
18 37 34 12 12
16 37 32 10 18
14 33 40 14 14
14 34 40 13 14
14 33 35 9 13
14 38 36 15 16
12 33 37 15 13
14 31 27 14 16
15 38 39 11 13
15 37 38 8 16
15 36 31 11 15
13 31 33 11 16
17 39 32 8 15
17 44 39 10 17
19 33 36 11 15
15 35 33 13 12
13 32 33 11 16
9 28 32 20 10
15 40 37 10 16
15 27 30 15 12
15 37 38 12 14
16 32 29 14 15
11 28 22 23 13
14 34 35 14 15
11 30 35 16 11
15 35 34 11 12
13 31 35 12 11
15 32 34 10 16
16 30 37 14 15
14 30 35 12 17
15 31 23 12 16
16 40 31 11 10
16 32 27 12 18
11 36 36 13 13
12 32 31 11 16
9 35 32 19 13
16 38 39 12 10
13 42 37 17 15
16 34 38 9 16
12 35 39 12 16
9 38 34 19 14
13 33 31 18 10
13 36 32 15 17
14 32 37 14 13
19 33 36 11 15
13 34 32 9 16
12 32 38 18 12
13 34 36 16 13
10 27 26 24 13
14 31 26 14 12
16 38 33 20 17
10 34 39 18 15
11 24 30 23 10
14 30 33 12 14
12 26 25 14 11
9 34 38 16 13
9 27 37 18 16
11 37 31 20 12
16 36 37 12 16
9 41 35 12 12
13 29 25 17 9
16 36 28 13 12
13 32 35 9 15
9 37 33 16 12
12 30 30 18 12
16 31 31 10 14
11 38 37 14 12
14 36 36 11 16
13 35 30 9 11
15 31 36 11 19
14 38 32 10 15
16 22 28 11 8
13 32 36 19 16
14 36 34 14 17
15 39 31 12 12
13 28 28 14 11
11 32 36 21 11
11 32 36 13 14
14 38 40 10 16
15 32 33 15 12
11 35 37 16 16
15 32 32 14 13
12 37 38 12 15
14 34 31 19 16
14 33 37 15 16
8 33 33 19 14
13 26 32 13 16
9 30 30 17 16
15 24 30 12 14
17 34 31 11 11
13 34 32 14 12
15 33 34 11 15
15 34 36 13 15
14 35 37 12 16
16 35 36 15 16
13 36 33 14 11
16 34 33 12 15
9 34 33 17 12
16 41 44 11 12
11 32 39 18 15
10 30 32 13 15
11 35 35 17 16
15 28 25 13 14
17 33 35 11 17
14 39 34 12 14
8 36 35 22 13
15 36 39 14 15
11 35 33 12 13
16 38 36 12 14
10 33 32 17 15
15 31 32 9 12
9 34 36 21 13
16 32 36 10 8
19 31 32 11 14
12 33 34 12 14
8 34 33 23 11
11 34 35 13 12
14 34 30 12 13
9 33 38 16 10
15 32 34 9 16
13 41 33 17 18
16 34 32 9 13
11 36 31 14 11
12 37 30 17 4
13 36 27 13 13
10 29 31 11 16
11 37 30 12 10
12 27 32 10 12
8 35 35 19 12
12 28 28 16 10
12 35 33 16 13
15 37 31 14 15
11 29 35 20 12
13 32 35 15 14
14 36 32 23 10
10 19 21 20 12
12 21 20 16 12
15 31 34 14 11
13 33 32 17 10
13 36 34 11 12
13 33 32 13 16
12 37 33 17 12
12 34 33 15 14
9 35 37 21 16
9 31 32 18 14
15 37 34 15 13
10 35 30 8 4
14 27 30 12 15
15 34 38 12 11
7 40 36 22 11
14 29 32 12 14

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time16 seconds
R Server'Herman Ole Andreas Wold' @ wold.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 & 16 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=226632&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]16 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=226632&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=226632&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 time16 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net






Multiple Linear Regression - Estimated Regression Equation
Happiness[t] = + 16.198 + 0.016655Connected[t] + 0.0084247Separate[t] -0.40389Depression[t] + 0.119008Learning[t] + 0.279897M1[t] + 0.0649028M2[t] -0.0797153M3[t] + 0.103054M4[t] + 0.307929M5[t] + 1.04582M6[t] + 0.163604M7[t] + 0.593961M8[t] + 0.116885M9[t] + 0.148018M10[t] + 0.398694M11[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
Happiness[t] =  +  16.198 +  0.016655Connected[t] +  0.0084247Separate[t] -0.40389Depression[t] +  0.119008Learning[t] +  0.279897M1[t] +  0.0649028M2[t] -0.0797153M3[t] +  0.103054M4[t] +  0.307929M5[t] +  1.04582M6[t] +  0.163604M7[t] +  0.593961M8[t] +  0.116885M9[t] +  0.148018M10[t] +  0.398694M11[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=226632&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]Happiness[t] =  +  16.198 +  0.016655Connected[t] +  0.0084247Separate[t] -0.40389Depression[t] +  0.119008Learning[t] +  0.279897M1[t] +  0.0649028M2[t] -0.0797153M3[t] +  0.103054M4[t] +  0.307929M5[t] +  1.04582M6[t] +  0.163604M7[t] +  0.593961M8[t] +  0.116885M9[t] +  0.148018M10[t] +  0.398694M11[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=226632&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=226632&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
Happiness[t] = + 16.198 + 0.016655Connected[t] + 0.0084247Separate[t] -0.40389Depression[t] + 0.119008Learning[t] + 0.279897M1[t] + 0.0649028M2[t] -0.0797153M3[t] + 0.103054M4[t] + 0.307929M5[t] + 1.04582M6[t] + 0.163604M7[t] + 0.593961M8[t] + 0.116885M9[t] + 0.148018M10[t] + 0.398694M11[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)16.1981.669369.7034.45616e-192.22808e-19
Connected0.0166550.03890860.42810.6689830.334491
Separate0.00842470.03929720.21440.8304240.415212
Depression-0.403890.0383698-10.531.16336e-215.81679e-22
Learning0.1190080.05525872.1540.03223220.0161161
M10.2798970.6193890.45190.6517420.325871
M20.06490280.62110.10450.916860.45843
M3-0.07971530.619253-0.12870.8976770.448839
M40.1030540.6199770.16620.8681170.434058
M50.3079290.6214660.49550.6206940.310347
M61.045820.620461.6860.09314080.0465704
M70.1636040.6227730.26270.7929980.396499
M80.5939610.6177780.96140.3372640.168632
M90.1168850.6183540.1890.8502280.425114
M100.1480180.6215310.23820.8119610.40598
M110.3986940.6176320.64550.5191870.259594

\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) & 16.198 & 1.66936 & 9.703 & 4.45616e-19 & 2.22808e-19 \tabularnewline
Connected & 0.016655 & 0.0389086 & 0.4281 & 0.668983 & 0.334491 \tabularnewline
Separate & 0.0084247 & 0.0392972 & 0.2144 & 0.830424 & 0.415212 \tabularnewline
Depression & -0.40389 & 0.0383698 & -10.53 & 1.16336e-21 & 5.81679e-22 \tabularnewline
Learning & 0.119008 & 0.0552587 & 2.154 & 0.0322322 & 0.0161161 \tabularnewline
M1 & 0.279897 & 0.619389 & 0.4519 & 0.651742 & 0.325871 \tabularnewline
M2 & 0.0649028 & 0.6211 & 0.1045 & 0.91686 & 0.45843 \tabularnewline
M3 & -0.0797153 & 0.619253 & -0.1287 & 0.897677 & 0.448839 \tabularnewline
M4 & 0.103054 & 0.619977 & 0.1662 & 0.868117 & 0.434058 \tabularnewline
M5 & 0.307929 & 0.621466 & 0.4955 & 0.620694 & 0.310347 \tabularnewline
M6 & 1.04582 & 0.62046 & 1.686 & 0.0931408 & 0.0465704 \tabularnewline
M7 & 0.163604 & 0.622773 & 0.2627 & 0.792998 & 0.396499 \tabularnewline
M8 & 0.593961 & 0.617778 & 0.9614 & 0.337264 & 0.168632 \tabularnewline
M9 & 0.116885 & 0.618354 & 0.189 & 0.850228 & 0.425114 \tabularnewline
M10 & 0.148018 & 0.621531 & 0.2382 & 0.811961 & 0.40598 \tabularnewline
M11 & 0.398694 & 0.617632 & 0.6455 & 0.519187 & 0.259594 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=226632&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]16.198[/C][C]1.66936[/C][C]9.703[/C][C]4.45616e-19[/C][C]2.22808e-19[/C][/ROW]
[ROW][C]Connected[/C][C]0.016655[/C][C]0.0389086[/C][C]0.4281[/C][C]0.668983[/C][C]0.334491[/C][/ROW]
[ROW][C]Separate[/C][C]0.0084247[/C][C]0.0392972[/C][C]0.2144[/C][C]0.830424[/C][C]0.415212[/C][/ROW]
[ROW][C]Depression[/C][C]-0.40389[/C][C]0.0383698[/C][C]-10.53[/C][C]1.16336e-21[/C][C]5.81679e-22[/C][/ROW]
[ROW][C]Learning[/C][C]0.119008[/C][C]0.0552587[/C][C]2.154[/C][C]0.0322322[/C][C]0.0161161[/C][/ROW]
[ROW][C]M1[/C][C]0.279897[/C][C]0.619389[/C][C]0.4519[/C][C]0.651742[/C][C]0.325871[/C][/ROW]
[ROW][C]M2[/C][C]0.0649028[/C][C]0.6211[/C][C]0.1045[/C][C]0.91686[/C][C]0.45843[/C][/ROW]
[ROW][C]M3[/C][C]-0.0797153[/C][C]0.619253[/C][C]-0.1287[/C][C]0.897677[/C][C]0.448839[/C][/ROW]
[ROW][C]M4[/C][C]0.103054[/C][C]0.619977[/C][C]0.1662[/C][C]0.868117[/C][C]0.434058[/C][/ROW]
[ROW][C]M5[/C][C]0.307929[/C][C]0.621466[/C][C]0.4955[/C][C]0.620694[/C][C]0.310347[/C][/ROW]
[ROW][C]M6[/C][C]1.04582[/C][C]0.62046[/C][C]1.686[/C][C]0.0931408[/C][C]0.0465704[/C][/ROW]
[ROW][C]M7[/C][C]0.163604[/C][C]0.622773[/C][C]0.2627[/C][C]0.792998[/C][C]0.396499[/C][/ROW]
[ROW][C]M8[/C][C]0.593961[/C][C]0.617778[/C][C]0.9614[/C][C]0.337264[/C][C]0.168632[/C][/ROW]
[ROW][C]M9[/C][C]0.116885[/C][C]0.618354[/C][C]0.189[/C][C]0.850228[/C][C]0.425114[/C][/ROW]
[ROW][C]M10[/C][C]0.148018[/C][C]0.621531[/C][C]0.2382[/C][C]0.811961[/C][C]0.40598[/C][/ROW]
[ROW][C]M11[/C][C]0.398694[/C][C]0.617632[/C][C]0.6455[/C][C]0.519187[/C][C]0.259594[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=226632&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=226632&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)16.1981.669369.7034.45616e-192.22808e-19
Connected0.0166550.03890860.42810.6689830.334491
Separate0.00842470.03929720.21440.8304240.415212
Depression-0.403890.0383698-10.531.16336e-215.81679e-22
Learning0.1190080.05525872.1540.03223220.0161161
M10.2798970.6193890.45190.6517420.325871
M20.06490280.62110.10450.916860.45843
M3-0.07971530.619253-0.12870.8976770.448839
M40.1030540.6199770.16620.8681170.434058
M50.3079290.6214660.49550.6206940.310347
M61.045820.620461.6860.09314080.0465704
M70.1636040.6227730.26270.7929980.396499
M80.5939610.6177780.96140.3372640.168632
M90.1168850.6183540.1890.8502280.425114
M100.1480180.6215310.23820.8119610.40598
M110.3986940.6176320.64550.5191870.259594






Multiple Linear Regression - Regression Statistics
Multiple R0.607208
R-squared0.368701
Adjusted R-squared0.330518
F-TEST (value)9.65606
F-TEST (DF numerator)15
F-TEST (DF denominator)248
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.04444
Sum Squared Residuals1036.57

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.607208 \tabularnewline
R-squared & 0.368701 \tabularnewline
Adjusted R-squared & 0.330518 \tabularnewline
F-TEST (value) & 9.65606 \tabularnewline
F-TEST (DF numerator) & 15 \tabularnewline
F-TEST (DF denominator) & 248 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 2.04444 \tabularnewline
Sum Squared Residuals & 1036.57 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=226632&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.607208[/C][/ROW]
[ROW][C]R-squared[/C][C]0.368701[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.330518[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]9.65606[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]15[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]248[/C][/ROW]
[ROW][C]p-value[/C][C]0[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]2.04444[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]1036.57[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=226632&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=226632&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 R0.607208
R-squared0.368701
Adjusted R-squared0.330518
F-TEST (value)9.65606
F-TEST (DF numerator)15
F-TEST (DF denominator)248
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.04444
Sum Squared Residuals1036.57






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
11414.1813-0.181334
21814.64343.35661
31113.5195-2.51951
41214.0338-2.03383
51610.56845.43164
61814.77153.2285
71410.64793.35209
81415.0039-1.00387
91514.83660.16344
101513.8171.18304
111715.3561.64401
121915.7573.24296
131013.2514-3.25145
141613.48232.51773
151814.96393.03613
161413.24270.757291
171413.50580.494221
181716.13420.86577
191415.4345-1.43455
201614.24811.75191
211815.19312.80695
221113.3732-2.37318
231414.9809-0.980866
241213.3925-1.39249
251714.97742.0226
26915.6035-6.60349
271614.47411.52591
281412.88921.11083
291513.58321.41675
301114.5037-3.50366
311615.28920.710798
321312.8810.118996
331714.81952.18048
341514.68540.314642
351413.83130.168734
361614.9681.03205
37910.3344-1.33436
381513.95991.04005
391714.72772.27231
401315.0272-2.02724
411515.6609-0.66089
421614.09981.90023
431616.4131-0.41314
441213.6646-1.66457
451514.4070.592993
461113.3157-2.31566
471515.5893-0.589267
481514.37640.623597
491713.24343.75659
501314.3887-1.38872
511614.83661.16337
521413.09840.901572
531111.475-0.475003
541214.3799-2.37991
551213.7925-1.79246
561513.51281.48721
571613.90442.09555
581515.3846-0.384588
591215.2625-3.26246
601212.9132-0.913163
61810.5638-2.56376
621314.2397-1.2397
631114.0369-3.03689
641413.12390.876104
651513.98691.01306
661015.7188-5.71882
671112.5321-1.53208
681214.8146-2.81456
691513.4791.52104
701513.49031.50966
711413.47240.527596
721612.64223.35777
731514.26430.735678
741515.3445-0.344466
751314.3734-1.37338
761211.55260.447412
771714.08752.91255
781313.1093-0.10927
791513.38571.61434
801315.9048-2.9048
811514.62910.370855
821515.5098-0.509792
831614.42941.5706
841513.95591.04414
851413.94230.0577453
861513.63991.36008
871414.0118-0.0118059
881312.89940.100562
89710.2331-3.23312
901714.2412.75904
911313.1956-0.19558
921514.37390.626124
931412.81051.18947
941313.5803-0.580253
951615.01090.989116
961212.551-0.551008
971414.7833-0.783344
981714.62692.37307
991514.58180.418236
1001715.10251.89752
1011212.8589-0.858937
1021615.68860.311394
1031114.4728-3.4728
1041513.1121.88795
105911.1239-2.12389
1061614.85411.14586
1071513.051.94998
1081012.9382-2.93824
109109.282660.717339
1101513.29871.70132
1111112.7584-1.7584
1121314.7598-1.75979
1131412.80571.19432
1141814.72793.27207
1151615.35070.64931
1161413.69020.309764
1171413.63370.366296
1181415.1026-1.10261
1191413.37870.621329
1201212.5481-0.548104
1211413.47140.528644
1221514.32870.671311
1231515.7277-0.727683
1241514.50410.495851
1251314.7616-1.76161
1261716.7170.283032
1271715.40721.59276
1281914.98724.01279
1291513.35341.64663
1301314.6183-1.61835
131910.4449-1.44493
1321515.0412-0.0411595
1331512.55012.44991
1341514.01870.981272
1351613.02622.97376
136119.21041.7896
1371413.49770.502257
1381112.8852-1.8852
1391514.21630.783705
1401314.0656-1.06556
1411514.99950.000469968
1421613.28812.71194
1431414.5677-0.567682
1441513.96551.03446
1451614.15261.84743
1461614.31881.68119
1471113.3177-2.31771
1481214.5565-2.55654
149911.2317-2.23166
1501614.54871.45131
1511312.29180.708161
1521615.94750.0524949
1531214.2838-2.28384
154911.2576-2.25757
1551311.32761.67244
1561313.032-0.0319758
1571413.21520.784764
1581914.45824.54184
1591315.2233-2.22328
1601211.31230.687748
1611312.46040.539626
162109.766310.233689
1631412.87061.12939
1641611.64824.35178
1651011.7248-1.72484
166118.899112.10089
1671414.1938-0.19381
1681212.4963-0.496297
169912.4492-3.44919
170911.6584-2.65843
1711110.3460.653995
1721614.26981.73019
173914.0651-5.06508
1741312.14240.857607
1751613.37462.62538
1761315.7699-2.76991
177912.175-3.17501
1781211.25650.743492
1791615.00140.998605
1801112.9163-1.91626
1811414.8421-0.842122
1821314.7727-1.77267
1831514.75630.243742
1841414.9498-0.949773
1851613.61752.38247
1861312.31030.689696
1871413.61630.383681
1881514.28410.715892
1891312.67180.328234
1901110.00970.99031
1911113.8485-2.8485
1921415.0331-1.03312
1931512.65862.34136
1941112.5994-1.59945
1951512.81352.1865
1961214.1759-2.17589
1971411.56362.4364
1981413.95090.0490582
199811.1815-3.18146
2001314.1482-1.14816
201912.1053-3.10529
2021513.81791.18207
2031714.29042.70955
2041312.80750.192483
2051514.65630.3437
2061513.6671.33297
2071414.0704-0.07039
2081613.03312.96693
2091313.0382-0.0381736
2101615.02660.973441
211911.7679-2.76788
2121614.83081.16917
2131111.6915-0.691529
2141013.6498-3.64983
2151112.5125-1.5125
2161513.29051.70948
2171714.90272.09726
2181414.0183-0.0183389
21989.67428-1.67428
2201513.35991.64012
2211114.0673-3.06731
2221614.99941.00055
2231012.0998-2.09982
2241515.371-0.370961
225910.2499-1.24988
2261614.09551.90455
2271914.60594.39407
2281213.8535-1.85351
22989.34183-1.34183
2301113.3016-2.30158
2311413.63770.362261
232911.8987-2.89867
2331515.5945-0.594464
2341313.4807-0.480719
2351615.10960.890423
2361113.3074-2.30736
2371210.79381.20621
2381313.4696-0.469619
2391014.8022-4.80221
2401113.4104-2.4104
2411214.5864-2.58639
242810.8949-2.8949
2431211.54840.451621
2441212.2469-0.24688
2451513.5141.48599
2461111.372-0.371994
2471312.79720.202789
248149.561774.43823
2491010.1586-0.158568
2501211.83010.169855
2511513.05411.94591
2521311.34121.65882
2531314.3492-1.34924
2541313.7357-0.735685
2551211.57450.425477
2561212.7531-0.753122
257910.823-1.82303
258912.4258-3.42582
2591512.75312.24695
2601014.8726-4.87256
2611413.95580.0442304
2621513.69491.30514
26379.98972-2.98972
2641413.770.229963

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 14 & 14.1813 & -0.181334 \tabularnewline
2 & 18 & 14.6434 & 3.35661 \tabularnewline
3 & 11 & 13.5195 & -2.51951 \tabularnewline
4 & 12 & 14.0338 & -2.03383 \tabularnewline
5 & 16 & 10.5684 & 5.43164 \tabularnewline
6 & 18 & 14.7715 & 3.2285 \tabularnewline
7 & 14 & 10.6479 & 3.35209 \tabularnewline
8 & 14 & 15.0039 & -1.00387 \tabularnewline
9 & 15 & 14.8366 & 0.16344 \tabularnewline
10 & 15 & 13.817 & 1.18304 \tabularnewline
11 & 17 & 15.356 & 1.64401 \tabularnewline
12 & 19 & 15.757 & 3.24296 \tabularnewline
13 & 10 & 13.2514 & -3.25145 \tabularnewline
14 & 16 & 13.4823 & 2.51773 \tabularnewline
15 & 18 & 14.9639 & 3.03613 \tabularnewline
16 & 14 & 13.2427 & 0.757291 \tabularnewline
17 & 14 & 13.5058 & 0.494221 \tabularnewline
18 & 17 & 16.1342 & 0.86577 \tabularnewline
19 & 14 & 15.4345 & -1.43455 \tabularnewline
20 & 16 & 14.2481 & 1.75191 \tabularnewline
21 & 18 & 15.1931 & 2.80695 \tabularnewline
22 & 11 & 13.3732 & -2.37318 \tabularnewline
23 & 14 & 14.9809 & -0.980866 \tabularnewline
24 & 12 & 13.3925 & -1.39249 \tabularnewline
25 & 17 & 14.9774 & 2.0226 \tabularnewline
26 & 9 & 15.6035 & -6.60349 \tabularnewline
27 & 16 & 14.4741 & 1.52591 \tabularnewline
28 & 14 & 12.8892 & 1.11083 \tabularnewline
29 & 15 & 13.5832 & 1.41675 \tabularnewline
30 & 11 & 14.5037 & -3.50366 \tabularnewline
31 & 16 & 15.2892 & 0.710798 \tabularnewline
32 & 13 & 12.881 & 0.118996 \tabularnewline
33 & 17 & 14.8195 & 2.18048 \tabularnewline
34 & 15 & 14.6854 & 0.314642 \tabularnewline
35 & 14 & 13.8313 & 0.168734 \tabularnewline
36 & 16 & 14.968 & 1.03205 \tabularnewline
37 & 9 & 10.3344 & -1.33436 \tabularnewline
38 & 15 & 13.9599 & 1.04005 \tabularnewline
39 & 17 & 14.7277 & 2.27231 \tabularnewline
40 & 13 & 15.0272 & -2.02724 \tabularnewline
41 & 15 & 15.6609 & -0.66089 \tabularnewline
42 & 16 & 14.0998 & 1.90023 \tabularnewline
43 & 16 & 16.4131 & -0.41314 \tabularnewline
44 & 12 & 13.6646 & -1.66457 \tabularnewline
45 & 15 & 14.407 & 0.592993 \tabularnewline
46 & 11 & 13.3157 & -2.31566 \tabularnewline
47 & 15 & 15.5893 & -0.589267 \tabularnewline
48 & 15 & 14.3764 & 0.623597 \tabularnewline
49 & 17 & 13.2434 & 3.75659 \tabularnewline
50 & 13 & 14.3887 & -1.38872 \tabularnewline
51 & 16 & 14.8366 & 1.16337 \tabularnewline
52 & 14 & 13.0984 & 0.901572 \tabularnewline
53 & 11 & 11.475 & -0.475003 \tabularnewline
54 & 12 & 14.3799 & -2.37991 \tabularnewline
55 & 12 & 13.7925 & -1.79246 \tabularnewline
56 & 15 & 13.5128 & 1.48721 \tabularnewline
57 & 16 & 13.9044 & 2.09555 \tabularnewline
58 & 15 & 15.3846 & -0.384588 \tabularnewline
59 & 12 & 15.2625 & -3.26246 \tabularnewline
60 & 12 & 12.9132 & -0.913163 \tabularnewline
61 & 8 & 10.5638 & -2.56376 \tabularnewline
62 & 13 & 14.2397 & -1.2397 \tabularnewline
63 & 11 & 14.0369 & -3.03689 \tabularnewline
64 & 14 & 13.1239 & 0.876104 \tabularnewline
65 & 15 & 13.9869 & 1.01306 \tabularnewline
66 & 10 & 15.7188 & -5.71882 \tabularnewline
67 & 11 & 12.5321 & -1.53208 \tabularnewline
68 & 12 & 14.8146 & -2.81456 \tabularnewline
69 & 15 & 13.479 & 1.52104 \tabularnewline
70 & 15 & 13.4903 & 1.50966 \tabularnewline
71 & 14 & 13.4724 & 0.527596 \tabularnewline
72 & 16 & 12.6422 & 3.35777 \tabularnewline
73 & 15 & 14.2643 & 0.735678 \tabularnewline
74 & 15 & 15.3445 & -0.344466 \tabularnewline
75 & 13 & 14.3734 & -1.37338 \tabularnewline
76 & 12 & 11.5526 & 0.447412 \tabularnewline
77 & 17 & 14.0875 & 2.91255 \tabularnewline
78 & 13 & 13.1093 & -0.10927 \tabularnewline
79 & 15 & 13.3857 & 1.61434 \tabularnewline
80 & 13 & 15.9048 & -2.9048 \tabularnewline
81 & 15 & 14.6291 & 0.370855 \tabularnewline
82 & 15 & 15.5098 & -0.509792 \tabularnewline
83 & 16 & 14.4294 & 1.5706 \tabularnewline
84 & 15 & 13.9559 & 1.04414 \tabularnewline
85 & 14 & 13.9423 & 0.0577453 \tabularnewline
86 & 15 & 13.6399 & 1.36008 \tabularnewline
87 & 14 & 14.0118 & -0.0118059 \tabularnewline
88 & 13 & 12.8994 & 0.100562 \tabularnewline
89 & 7 & 10.2331 & -3.23312 \tabularnewline
90 & 17 & 14.241 & 2.75904 \tabularnewline
91 & 13 & 13.1956 & -0.19558 \tabularnewline
92 & 15 & 14.3739 & 0.626124 \tabularnewline
93 & 14 & 12.8105 & 1.18947 \tabularnewline
94 & 13 & 13.5803 & -0.580253 \tabularnewline
95 & 16 & 15.0109 & 0.989116 \tabularnewline
96 & 12 & 12.551 & -0.551008 \tabularnewline
97 & 14 & 14.7833 & -0.783344 \tabularnewline
98 & 17 & 14.6269 & 2.37307 \tabularnewline
99 & 15 & 14.5818 & 0.418236 \tabularnewline
100 & 17 & 15.1025 & 1.89752 \tabularnewline
101 & 12 & 12.8589 & -0.858937 \tabularnewline
102 & 16 & 15.6886 & 0.311394 \tabularnewline
103 & 11 & 14.4728 & -3.4728 \tabularnewline
104 & 15 & 13.112 & 1.88795 \tabularnewline
105 & 9 & 11.1239 & -2.12389 \tabularnewline
106 & 16 & 14.8541 & 1.14586 \tabularnewline
107 & 15 & 13.05 & 1.94998 \tabularnewline
108 & 10 & 12.9382 & -2.93824 \tabularnewline
109 & 10 & 9.28266 & 0.717339 \tabularnewline
110 & 15 & 13.2987 & 1.70132 \tabularnewline
111 & 11 & 12.7584 & -1.7584 \tabularnewline
112 & 13 & 14.7598 & -1.75979 \tabularnewline
113 & 14 & 12.8057 & 1.19432 \tabularnewline
114 & 18 & 14.7279 & 3.27207 \tabularnewline
115 & 16 & 15.3507 & 0.64931 \tabularnewline
116 & 14 & 13.6902 & 0.309764 \tabularnewline
117 & 14 & 13.6337 & 0.366296 \tabularnewline
118 & 14 & 15.1026 & -1.10261 \tabularnewline
119 & 14 & 13.3787 & 0.621329 \tabularnewline
120 & 12 & 12.5481 & -0.548104 \tabularnewline
121 & 14 & 13.4714 & 0.528644 \tabularnewline
122 & 15 & 14.3287 & 0.671311 \tabularnewline
123 & 15 & 15.7277 & -0.727683 \tabularnewline
124 & 15 & 14.5041 & 0.495851 \tabularnewline
125 & 13 & 14.7616 & -1.76161 \tabularnewline
126 & 17 & 16.717 & 0.283032 \tabularnewline
127 & 17 & 15.4072 & 1.59276 \tabularnewline
128 & 19 & 14.9872 & 4.01279 \tabularnewline
129 & 15 & 13.3534 & 1.64663 \tabularnewline
130 & 13 & 14.6183 & -1.61835 \tabularnewline
131 & 9 & 10.4449 & -1.44493 \tabularnewline
132 & 15 & 15.0412 & -0.0411595 \tabularnewline
133 & 15 & 12.5501 & 2.44991 \tabularnewline
134 & 15 & 14.0187 & 0.981272 \tabularnewline
135 & 16 & 13.0262 & 2.97376 \tabularnewline
136 & 11 & 9.2104 & 1.7896 \tabularnewline
137 & 14 & 13.4977 & 0.502257 \tabularnewline
138 & 11 & 12.8852 & -1.8852 \tabularnewline
139 & 15 & 14.2163 & 0.783705 \tabularnewline
140 & 13 & 14.0656 & -1.06556 \tabularnewline
141 & 15 & 14.9995 & 0.000469968 \tabularnewline
142 & 16 & 13.2881 & 2.71194 \tabularnewline
143 & 14 & 14.5677 & -0.567682 \tabularnewline
144 & 15 & 13.9655 & 1.03446 \tabularnewline
145 & 16 & 14.1526 & 1.84743 \tabularnewline
146 & 16 & 14.3188 & 1.68119 \tabularnewline
147 & 11 & 13.3177 & -2.31771 \tabularnewline
148 & 12 & 14.5565 & -2.55654 \tabularnewline
149 & 9 & 11.2317 & -2.23166 \tabularnewline
150 & 16 & 14.5487 & 1.45131 \tabularnewline
151 & 13 & 12.2918 & 0.708161 \tabularnewline
152 & 16 & 15.9475 & 0.0524949 \tabularnewline
153 & 12 & 14.2838 & -2.28384 \tabularnewline
154 & 9 & 11.2576 & -2.25757 \tabularnewline
155 & 13 & 11.3276 & 1.67244 \tabularnewline
156 & 13 & 13.032 & -0.0319758 \tabularnewline
157 & 14 & 13.2152 & 0.784764 \tabularnewline
158 & 19 & 14.4582 & 4.54184 \tabularnewline
159 & 13 & 15.2233 & -2.22328 \tabularnewline
160 & 12 & 11.3123 & 0.687748 \tabularnewline
161 & 13 & 12.4604 & 0.539626 \tabularnewline
162 & 10 & 9.76631 & 0.233689 \tabularnewline
163 & 14 & 12.8706 & 1.12939 \tabularnewline
164 & 16 & 11.6482 & 4.35178 \tabularnewline
165 & 10 & 11.7248 & -1.72484 \tabularnewline
166 & 11 & 8.89911 & 2.10089 \tabularnewline
167 & 14 & 14.1938 & -0.19381 \tabularnewline
168 & 12 & 12.4963 & -0.496297 \tabularnewline
169 & 9 & 12.4492 & -3.44919 \tabularnewline
170 & 9 & 11.6584 & -2.65843 \tabularnewline
171 & 11 & 10.346 & 0.653995 \tabularnewline
172 & 16 & 14.2698 & 1.73019 \tabularnewline
173 & 9 & 14.0651 & -5.06508 \tabularnewline
174 & 13 & 12.1424 & 0.857607 \tabularnewline
175 & 16 & 13.3746 & 2.62538 \tabularnewline
176 & 13 & 15.7699 & -2.76991 \tabularnewline
177 & 9 & 12.175 & -3.17501 \tabularnewline
178 & 12 & 11.2565 & 0.743492 \tabularnewline
179 & 16 & 15.0014 & 0.998605 \tabularnewline
180 & 11 & 12.9163 & -1.91626 \tabularnewline
181 & 14 & 14.8421 & -0.842122 \tabularnewline
182 & 13 & 14.7727 & -1.77267 \tabularnewline
183 & 15 & 14.7563 & 0.243742 \tabularnewline
184 & 14 & 14.9498 & -0.949773 \tabularnewline
185 & 16 & 13.6175 & 2.38247 \tabularnewline
186 & 13 & 12.3103 & 0.689696 \tabularnewline
187 & 14 & 13.6163 & 0.383681 \tabularnewline
188 & 15 & 14.2841 & 0.715892 \tabularnewline
189 & 13 & 12.6718 & 0.328234 \tabularnewline
190 & 11 & 10.0097 & 0.99031 \tabularnewline
191 & 11 & 13.8485 & -2.8485 \tabularnewline
192 & 14 & 15.0331 & -1.03312 \tabularnewline
193 & 15 & 12.6586 & 2.34136 \tabularnewline
194 & 11 & 12.5994 & -1.59945 \tabularnewline
195 & 15 & 12.8135 & 2.1865 \tabularnewline
196 & 12 & 14.1759 & -2.17589 \tabularnewline
197 & 14 & 11.5636 & 2.4364 \tabularnewline
198 & 14 & 13.9509 & 0.0490582 \tabularnewline
199 & 8 & 11.1815 & -3.18146 \tabularnewline
200 & 13 & 14.1482 & -1.14816 \tabularnewline
201 & 9 & 12.1053 & -3.10529 \tabularnewline
202 & 15 & 13.8179 & 1.18207 \tabularnewline
203 & 17 & 14.2904 & 2.70955 \tabularnewline
204 & 13 & 12.8075 & 0.192483 \tabularnewline
205 & 15 & 14.6563 & 0.3437 \tabularnewline
206 & 15 & 13.667 & 1.33297 \tabularnewline
207 & 14 & 14.0704 & -0.07039 \tabularnewline
208 & 16 & 13.0331 & 2.96693 \tabularnewline
209 & 13 & 13.0382 & -0.0381736 \tabularnewline
210 & 16 & 15.0266 & 0.973441 \tabularnewline
211 & 9 & 11.7679 & -2.76788 \tabularnewline
212 & 16 & 14.8308 & 1.16917 \tabularnewline
213 & 11 & 11.6915 & -0.691529 \tabularnewline
214 & 10 & 13.6498 & -3.64983 \tabularnewline
215 & 11 & 12.5125 & -1.5125 \tabularnewline
216 & 15 & 13.2905 & 1.70948 \tabularnewline
217 & 17 & 14.9027 & 2.09726 \tabularnewline
218 & 14 & 14.0183 & -0.0183389 \tabularnewline
219 & 8 & 9.67428 & -1.67428 \tabularnewline
220 & 15 & 13.3599 & 1.64012 \tabularnewline
221 & 11 & 14.0673 & -3.06731 \tabularnewline
222 & 16 & 14.9994 & 1.00055 \tabularnewline
223 & 10 & 12.0998 & -2.09982 \tabularnewline
224 & 15 & 15.371 & -0.370961 \tabularnewline
225 & 9 & 10.2499 & -1.24988 \tabularnewline
226 & 16 & 14.0955 & 1.90455 \tabularnewline
227 & 19 & 14.6059 & 4.39407 \tabularnewline
228 & 12 & 13.8535 & -1.85351 \tabularnewline
229 & 8 & 9.34183 & -1.34183 \tabularnewline
230 & 11 & 13.3016 & -2.30158 \tabularnewline
231 & 14 & 13.6377 & 0.362261 \tabularnewline
232 & 9 & 11.8987 & -2.89867 \tabularnewline
233 & 15 & 15.5945 & -0.594464 \tabularnewline
234 & 13 & 13.4807 & -0.480719 \tabularnewline
235 & 16 & 15.1096 & 0.890423 \tabularnewline
236 & 11 & 13.3074 & -2.30736 \tabularnewline
237 & 12 & 10.7938 & 1.20621 \tabularnewline
238 & 13 & 13.4696 & -0.469619 \tabularnewline
239 & 10 & 14.8022 & -4.80221 \tabularnewline
240 & 11 & 13.4104 & -2.4104 \tabularnewline
241 & 12 & 14.5864 & -2.58639 \tabularnewline
242 & 8 & 10.8949 & -2.8949 \tabularnewline
243 & 12 & 11.5484 & 0.451621 \tabularnewline
244 & 12 & 12.2469 & -0.24688 \tabularnewline
245 & 15 & 13.514 & 1.48599 \tabularnewline
246 & 11 & 11.372 & -0.371994 \tabularnewline
247 & 13 & 12.7972 & 0.202789 \tabularnewline
248 & 14 & 9.56177 & 4.43823 \tabularnewline
249 & 10 & 10.1586 & -0.158568 \tabularnewline
250 & 12 & 11.8301 & 0.169855 \tabularnewline
251 & 15 & 13.0541 & 1.94591 \tabularnewline
252 & 13 & 11.3412 & 1.65882 \tabularnewline
253 & 13 & 14.3492 & -1.34924 \tabularnewline
254 & 13 & 13.7357 & -0.735685 \tabularnewline
255 & 12 & 11.5745 & 0.425477 \tabularnewline
256 & 12 & 12.7531 & -0.753122 \tabularnewline
257 & 9 & 10.823 & -1.82303 \tabularnewline
258 & 9 & 12.4258 & -3.42582 \tabularnewline
259 & 15 & 12.7531 & 2.24695 \tabularnewline
260 & 10 & 14.8726 & -4.87256 \tabularnewline
261 & 14 & 13.9558 & 0.0442304 \tabularnewline
262 & 15 & 13.6949 & 1.30514 \tabularnewline
263 & 7 & 9.98972 & -2.98972 \tabularnewline
264 & 14 & 13.77 & 0.229963 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=226632&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]14[/C][C]14.1813[/C][C]-0.181334[/C][/ROW]
[ROW][C]2[/C][C]18[/C][C]14.6434[/C][C]3.35661[/C][/ROW]
[ROW][C]3[/C][C]11[/C][C]13.5195[/C][C]-2.51951[/C][/ROW]
[ROW][C]4[/C][C]12[/C][C]14.0338[/C][C]-2.03383[/C][/ROW]
[ROW][C]5[/C][C]16[/C][C]10.5684[/C][C]5.43164[/C][/ROW]
[ROW][C]6[/C][C]18[/C][C]14.7715[/C][C]3.2285[/C][/ROW]
[ROW][C]7[/C][C]14[/C][C]10.6479[/C][C]3.35209[/C][/ROW]
[ROW][C]8[/C][C]14[/C][C]15.0039[/C][C]-1.00387[/C][/ROW]
[ROW][C]9[/C][C]15[/C][C]14.8366[/C][C]0.16344[/C][/ROW]
[ROW][C]10[/C][C]15[/C][C]13.817[/C][C]1.18304[/C][/ROW]
[ROW][C]11[/C][C]17[/C][C]15.356[/C][C]1.64401[/C][/ROW]
[ROW][C]12[/C][C]19[/C][C]15.757[/C][C]3.24296[/C][/ROW]
[ROW][C]13[/C][C]10[/C][C]13.2514[/C][C]-3.25145[/C][/ROW]
[ROW][C]14[/C][C]16[/C][C]13.4823[/C][C]2.51773[/C][/ROW]
[ROW][C]15[/C][C]18[/C][C]14.9639[/C][C]3.03613[/C][/ROW]
[ROW][C]16[/C][C]14[/C][C]13.2427[/C][C]0.757291[/C][/ROW]
[ROW][C]17[/C][C]14[/C][C]13.5058[/C][C]0.494221[/C][/ROW]
[ROW][C]18[/C][C]17[/C][C]16.1342[/C][C]0.86577[/C][/ROW]
[ROW][C]19[/C][C]14[/C][C]15.4345[/C][C]-1.43455[/C][/ROW]
[ROW][C]20[/C][C]16[/C][C]14.2481[/C][C]1.75191[/C][/ROW]
[ROW][C]21[/C][C]18[/C][C]15.1931[/C][C]2.80695[/C][/ROW]
[ROW][C]22[/C][C]11[/C][C]13.3732[/C][C]-2.37318[/C][/ROW]
[ROW][C]23[/C][C]14[/C][C]14.9809[/C][C]-0.980866[/C][/ROW]
[ROW][C]24[/C][C]12[/C][C]13.3925[/C][C]-1.39249[/C][/ROW]
[ROW][C]25[/C][C]17[/C][C]14.9774[/C][C]2.0226[/C][/ROW]
[ROW][C]26[/C][C]9[/C][C]15.6035[/C][C]-6.60349[/C][/ROW]
[ROW][C]27[/C][C]16[/C][C]14.4741[/C][C]1.52591[/C][/ROW]
[ROW][C]28[/C][C]14[/C][C]12.8892[/C][C]1.11083[/C][/ROW]
[ROW][C]29[/C][C]15[/C][C]13.5832[/C][C]1.41675[/C][/ROW]
[ROW][C]30[/C][C]11[/C][C]14.5037[/C][C]-3.50366[/C][/ROW]
[ROW][C]31[/C][C]16[/C][C]15.2892[/C][C]0.710798[/C][/ROW]
[ROW][C]32[/C][C]13[/C][C]12.881[/C][C]0.118996[/C][/ROW]
[ROW][C]33[/C][C]17[/C][C]14.8195[/C][C]2.18048[/C][/ROW]
[ROW][C]34[/C][C]15[/C][C]14.6854[/C][C]0.314642[/C][/ROW]
[ROW][C]35[/C][C]14[/C][C]13.8313[/C][C]0.168734[/C][/ROW]
[ROW][C]36[/C][C]16[/C][C]14.968[/C][C]1.03205[/C][/ROW]
[ROW][C]37[/C][C]9[/C][C]10.3344[/C][C]-1.33436[/C][/ROW]
[ROW][C]38[/C][C]15[/C][C]13.9599[/C][C]1.04005[/C][/ROW]
[ROW][C]39[/C][C]17[/C][C]14.7277[/C][C]2.27231[/C][/ROW]
[ROW][C]40[/C][C]13[/C][C]15.0272[/C][C]-2.02724[/C][/ROW]
[ROW][C]41[/C][C]15[/C][C]15.6609[/C][C]-0.66089[/C][/ROW]
[ROW][C]42[/C][C]16[/C][C]14.0998[/C][C]1.90023[/C][/ROW]
[ROW][C]43[/C][C]16[/C][C]16.4131[/C][C]-0.41314[/C][/ROW]
[ROW][C]44[/C][C]12[/C][C]13.6646[/C][C]-1.66457[/C][/ROW]
[ROW][C]45[/C][C]15[/C][C]14.407[/C][C]0.592993[/C][/ROW]
[ROW][C]46[/C][C]11[/C][C]13.3157[/C][C]-2.31566[/C][/ROW]
[ROW][C]47[/C][C]15[/C][C]15.5893[/C][C]-0.589267[/C][/ROW]
[ROW][C]48[/C][C]15[/C][C]14.3764[/C][C]0.623597[/C][/ROW]
[ROW][C]49[/C][C]17[/C][C]13.2434[/C][C]3.75659[/C][/ROW]
[ROW][C]50[/C][C]13[/C][C]14.3887[/C][C]-1.38872[/C][/ROW]
[ROW][C]51[/C][C]16[/C][C]14.8366[/C][C]1.16337[/C][/ROW]
[ROW][C]52[/C][C]14[/C][C]13.0984[/C][C]0.901572[/C][/ROW]
[ROW][C]53[/C][C]11[/C][C]11.475[/C][C]-0.475003[/C][/ROW]
[ROW][C]54[/C][C]12[/C][C]14.3799[/C][C]-2.37991[/C][/ROW]
[ROW][C]55[/C][C]12[/C][C]13.7925[/C][C]-1.79246[/C][/ROW]
[ROW][C]56[/C][C]15[/C][C]13.5128[/C][C]1.48721[/C][/ROW]
[ROW][C]57[/C][C]16[/C][C]13.9044[/C][C]2.09555[/C][/ROW]
[ROW][C]58[/C][C]15[/C][C]15.3846[/C][C]-0.384588[/C][/ROW]
[ROW][C]59[/C][C]12[/C][C]15.2625[/C][C]-3.26246[/C][/ROW]
[ROW][C]60[/C][C]12[/C][C]12.9132[/C][C]-0.913163[/C][/ROW]
[ROW][C]61[/C][C]8[/C][C]10.5638[/C][C]-2.56376[/C][/ROW]
[ROW][C]62[/C][C]13[/C][C]14.2397[/C][C]-1.2397[/C][/ROW]
[ROW][C]63[/C][C]11[/C][C]14.0369[/C][C]-3.03689[/C][/ROW]
[ROW][C]64[/C][C]14[/C][C]13.1239[/C][C]0.876104[/C][/ROW]
[ROW][C]65[/C][C]15[/C][C]13.9869[/C][C]1.01306[/C][/ROW]
[ROW][C]66[/C][C]10[/C][C]15.7188[/C][C]-5.71882[/C][/ROW]
[ROW][C]67[/C][C]11[/C][C]12.5321[/C][C]-1.53208[/C][/ROW]
[ROW][C]68[/C][C]12[/C][C]14.8146[/C][C]-2.81456[/C][/ROW]
[ROW][C]69[/C][C]15[/C][C]13.479[/C][C]1.52104[/C][/ROW]
[ROW][C]70[/C][C]15[/C][C]13.4903[/C][C]1.50966[/C][/ROW]
[ROW][C]71[/C][C]14[/C][C]13.4724[/C][C]0.527596[/C][/ROW]
[ROW][C]72[/C][C]16[/C][C]12.6422[/C][C]3.35777[/C][/ROW]
[ROW][C]73[/C][C]15[/C][C]14.2643[/C][C]0.735678[/C][/ROW]
[ROW][C]74[/C][C]15[/C][C]15.3445[/C][C]-0.344466[/C][/ROW]
[ROW][C]75[/C][C]13[/C][C]14.3734[/C][C]-1.37338[/C][/ROW]
[ROW][C]76[/C][C]12[/C][C]11.5526[/C][C]0.447412[/C][/ROW]
[ROW][C]77[/C][C]17[/C][C]14.0875[/C][C]2.91255[/C][/ROW]
[ROW][C]78[/C][C]13[/C][C]13.1093[/C][C]-0.10927[/C][/ROW]
[ROW][C]79[/C][C]15[/C][C]13.3857[/C][C]1.61434[/C][/ROW]
[ROW][C]80[/C][C]13[/C][C]15.9048[/C][C]-2.9048[/C][/ROW]
[ROW][C]81[/C][C]15[/C][C]14.6291[/C][C]0.370855[/C][/ROW]
[ROW][C]82[/C][C]15[/C][C]15.5098[/C][C]-0.509792[/C][/ROW]
[ROW][C]83[/C][C]16[/C][C]14.4294[/C][C]1.5706[/C][/ROW]
[ROW][C]84[/C][C]15[/C][C]13.9559[/C][C]1.04414[/C][/ROW]
[ROW][C]85[/C][C]14[/C][C]13.9423[/C][C]0.0577453[/C][/ROW]
[ROW][C]86[/C][C]15[/C][C]13.6399[/C][C]1.36008[/C][/ROW]
[ROW][C]87[/C][C]14[/C][C]14.0118[/C][C]-0.0118059[/C][/ROW]
[ROW][C]88[/C][C]13[/C][C]12.8994[/C][C]0.100562[/C][/ROW]
[ROW][C]89[/C][C]7[/C][C]10.2331[/C][C]-3.23312[/C][/ROW]
[ROW][C]90[/C][C]17[/C][C]14.241[/C][C]2.75904[/C][/ROW]
[ROW][C]91[/C][C]13[/C][C]13.1956[/C][C]-0.19558[/C][/ROW]
[ROW][C]92[/C][C]15[/C][C]14.3739[/C][C]0.626124[/C][/ROW]
[ROW][C]93[/C][C]14[/C][C]12.8105[/C][C]1.18947[/C][/ROW]
[ROW][C]94[/C][C]13[/C][C]13.5803[/C][C]-0.580253[/C][/ROW]
[ROW][C]95[/C][C]16[/C][C]15.0109[/C][C]0.989116[/C][/ROW]
[ROW][C]96[/C][C]12[/C][C]12.551[/C][C]-0.551008[/C][/ROW]
[ROW][C]97[/C][C]14[/C][C]14.7833[/C][C]-0.783344[/C][/ROW]
[ROW][C]98[/C][C]17[/C][C]14.6269[/C][C]2.37307[/C][/ROW]
[ROW][C]99[/C][C]15[/C][C]14.5818[/C][C]0.418236[/C][/ROW]
[ROW][C]100[/C][C]17[/C][C]15.1025[/C][C]1.89752[/C][/ROW]
[ROW][C]101[/C][C]12[/C][C]12.8589[/C][C]-0.858937[/C][/ROW]
[ROW][C]102[/C][C]16[/C][C]15.6886[/C][C]0.311394[/C][/ROW]
[ROW][C]103[/C][C]11[/C][C]14.4728[/C][C]-3.4728[/C][/ROW]
[ROW][C]104[/C][C]15[/C][C]13.112[/C][C]1.88795[/C][/ROW]
[ROW][C]105[/C][C]9[/C][C]11.1239[/C][C]-2.12389[/C][/ROW]
[ROW][C]106[/C][C]16[/C][C]14.8541[/C][C]1.14586[/C][/ROW]
[ROW][C]107[/C][C]15[/C][C]13.05[/C][C]1.94998[/C][/ROW]
[ROW][C]108[/C][C]10[/C][C]12.9382[/C][C]-2.93824[/C][/ROW]
[ROW][C]109[/C][C]10[/C][C]9.28266[/C][C]0.717339[/C][/ROW]
[ROW][C]110[/C][C]15[/C][C]13.2987[/C][C]1.70132[/C][/ROW]
[ROW][C]111[/C][C]11[/C][C]12.7584[/C][C]-1.7584[/C][/ROW]
[ROW][C]112[/C][C]13[/C][C]14.7598[/C][C]-1.75979[/C][/ROW]
[ROW][C]113[/C][C]14[/C][C]12.8057[/C][C]1.19432[/C][/ROW]
[ROW][C]114[/C][C]18[/C][C]14.7279[/C][C]3.27207[/C][/ROW]
[ROW][C]115[/C][C]16[/C][C]15.3507[/C][C]0.64931[/C][/ROW]
[ROW][C]116[/C][C]14[/C][C]13.6902[/C][C]0.309764[/C][/ROW]
[ROW][C]117[/C][C]14[/C][C]13.6337[/C][C]0.366296[/C][/ROW]
[ROW][C]118[/C][C]14[/C][C]15.1026[/C][C]-1.10261[/C][/ROW]
[ROW][C]119[/C][C]14[/C][C]13.3787[/C][C]0.621329[/C][/ROW]
[ROW][C]120[/C][C]12[/C][C]12.5481[/C][C]-0.548104[/C][/ROW]
[ROW][C]121[/C][C]14[/C][C]13.4714[/C][C]0.528644[/C][/ROW]
[ROW][C]122[/C][C]15[/C][C]14.3287[/C][C]0.671311[/C][/ROW]
[ROW][C]123[/C][C]15[/C][C]15.7277[/C][C]-0.727683[/C][/ROW]
[ROW][C]124[/C][C]15[/C][C]14.5041[/C][C]0.495851[/C][/ROW]
[ROW][C]125[/C][C]13[/C][C]14.7616[/C][C]-1.76161[/C][/ROW]
[ROW][C]126[/C][C]17[/C][C]16.717[/C][C]0.283032[/C][/ROW]
[ROW][C]127[/C][C]17[/C][C]15.4072[/C][C]1.59276[/C][/ROW]
[ROW][C]128[/C][C]19[/C][C]14.9872[/C][C]4.01279[/C][/ROW]
[ROW][C]129[/C][C]15[/C][C]13.3534[/C][C]1.64663[/C][/ROW]
[ROW][C]130[/C][C]13[/C][C]14.6183[/C][C]-1.61835[/C][/ROW]
[ROW][C]131[/C][C]9[/C][C]10.4449[/C][C]-1.44493[/C][/ROW]
[ROW][C]132[/C][C]15[/C][C]15.0412[/C][C]-0.0411595[/C][/ROW]
[ROW][C]133[/C][C]15[/C][C]12.5501[/C][C]2.44991[/C][/ROW]
[ROW][C]134[/C][C]15[/C][C]14.0187[/C][C]0.981272[/C][/ROW]
[ROW][C]135[/C][C]16[/C][C]13.0262[/C][C]2.97376[/C][/ROW]
[ROW][C]136[/C][C]11[/C][C]9.2104[/C][C]1.7896[/C][/ROW]
[ROW][C]137[/C][C]14[/C][C]13.4977[/C][C]0.502257[/C][/ROW]
[ROW][C]138[/C][C]11[/C][C]12.8852[/C][C]-1.8852[/C][/ROW]
[ROW][C]139[/C][C]15[/C][C]14.2163[/C][C]0.783705[/C][/ROW]
[ROW][C]140[/C][C]13[/C][C]14.0656[/C][C]-1.06556[/C][/ROW]
[ROW][C]141[/C][C]15[/C][C]14.9995[/C][C]0.000469968[/C][/ROW]
[ROW][C]142[/C][C]16[/C][C]13.2881[/C][C]2.71194[/C][/ROW]
[ROW][C]143[/C][C]14[/C][C]14.5677[/C][C]-0.567682[/C][/ROW]
[ROW][C]144[/C][C]15[/C][C]13.9655[/C][C]1.03446[/C][/ROW]
[ROW][C]145[/C][C]16[/C][C]14.1526[/C][C]1.84743[/C][/ROW]
[ROW][C]146[/C][C]16[/C][C]14.3188[/C][C]1.68119[/C][/ROW]
[ROW][C]147[/C][C]11[/C][C]13.3177[/C][C]-2.31771[/C][/ROW]
[ROW][C]148[/C][C]12[/C][C]14.5565[/C][C]-2.55654[/C][/ROW]
[ROW][C]149[/C][C]9[/C][C]11.2317[/C][C]-2.23166[/C][/ROW]
[ROW][C]150[/C][C]16[/C][C]14.5487[/C][C]1.45131[/C][/ROW]
[ROW][C]151[/C][C]13[/C][C]12.2918[/C][C]0.708161[/C][/ROW]
[ROW][C]152[/C][C]16[/C][C]15.9475[/C][C]0.0524949[/C][/ROW]
[ROW][C]153[/C][C]12[/C][C]14.2838[/C][C]-2.28384[/C][/ROW]
[ROW][C]154[/C][C]9[/C][C]11.2576[/C][C]-2.25757[/C][/ROW]
[ROW][C]155[/C][C]13[/C][C]11.3276[/C][C]1.67244[/C][/ROW]
[ROW][C]156[/C][C]13[/C][C]13.032[/C][C]-0.0319758[/C][/ROW]
[ROW][C]157[/C][C]14[/C][C]13.2152[/C][C]0.784764[/C][/ROW]
[ROW][C]158[/C][C]19[/C][C]14.4582[/C][C]4.54184[/C][/ROW]
[ROW][C]159[/C][C]13[/C][C]15.2233[/C][C]-2.22328[/C][/ROW]
[ROW][C]160[/C][C]12[/C][C]11.3123[/C][C]0.687748[/C][/ROW]
[ROW][C]161[/C][C]13[/C][C]12.4604[/C][C]0.539626[/C][/ROW]
[ROW][C]162[/C][C]10[/C][C]9.76631[/C][C]0.233689[/C][/ROW]
[ROW][C]163[/C][C]14[/C][C]12.8706[/C][C]1.12939[/C][/ROW]
[ROW][C]164[/C][C]16[/C][C]11.6482[/C][C]4.35178[/C][/ROW]
[ROW][C]165[/C][C]10[/C][C]11.7248[/C][C]-1.72484[/C][/ROW]
[ROW][C]166[/C][C]11[/C][C]8.89911[/C][C]2.10089[/C][/ROW]
[ROW][C]167[/C][C]14[/C][C]14.1938[/C][C]-0.19381[/C][/ROW]
[ROW][C]168[/C][C]12[/C][C]12.4963[/C][C]-0.496297[/C][/ROW]
[ROW][C]169[/C][C]9[/C][C]12.4492[/C][C]-3.44919[/C][/ROW]
[ROW][C]170[/C][C]9[/C][C]11.6584[/C][C]-2.65843[/C][/ROW]
[ROW][C]171[/C][C]11[/C][C]10.346[/C][C]0.653995[/C][/ROW]
[ROW][C]172[/C][C]16[/C][C]14.2698[/C][C]1.73019[/C][/ROW]
[ROW][C]173[/C][C]9[/C][C]14.0651[/C][C]-5.06508[/C][/ROW]
[ROW][C]174[/C][C]13[/C][C]12.1424[/C][C]0.857607[/C][/ROW]
[ROW][C]175[/C][C]16[/C][C]13.3746[/C][C]2.62538[/C][/ROW]
[ROW][C]176[/C][C]13[/C][C]15.7699[/C][C]-2.76991[/C][/ROW]
[ROW][C]177[/C][C]9[/C][C]12.175[/C][C]-3.17501[/C][/ROW]
[ROW][C]178[/C][C]12[/C][C]11.2565[/C][C]0.743492[/C][/ROW]
[ROW][C]179[/C][C]16[/C][C]15.0014[/C][C]0.998605[/C][/ROW]
[ROW][C]180[/C][C]11[/C][C]12.9163[/C][C]-1.91626[/C][/ROW]
[ROW][C]181[/C][C]14[/C][C]14.8421[/C][C]-0.842122[/C][/ROW]
[ROW][C]182[/C][C]13[/C][C]14.7727[/C][C]-1.77267[/C][/ROW]
[ROW][C]183[/C][C]15[/C][C]14.7563[/C][C]0.243742[/C][/ROW]
[ROW][C]184[/C][C]14[/C][C]14.9498[/C][C]-0.949773[/C][/ROW]
[ROW][C]185[/C][C]16[/C][C]13.6175[/C][C]2.38247[/C][/ROW]
[ROW][C]186[/C][C]13[/C][C]12.3103[/C][C]0.689696[/C][/ROW]
[ROW][C]187[/C][C]14[/C][C]13.6163[/C][C]0.383681[/C][/ROW]
[ROW][C]188[/C][C]15[/C][C]14.2841[/C][C]0.715892[/C][/ROW]
[ROW][C]189[/C][C]13[/C][C]12.6718[/C][C]0.328234[/C][/ROW]
[ROW][C]190[/C][C]11[/C][C]10.0097[/C][C]0.99031[/C][/ROW]
[ROW][C]191[/C][C]11[/C][C]13.8485[/C][C]-2.8485[/C][/ROW]
[ROW][C]192[/C][C]14[/C][C]15.0331[/C][C]-1.03312[/C][/ROW]
[ROW][C]193[/C][C]15[/C][C]12.6586[/C][C]2.34136[/C][/ROW]
[ROW][C]194[/C][C]11[/C][C]12.5994[/C][C]-1.59945[/C][/ROW]
[ROW][C]195[/C][C]15[/C][C]12.8135[/C][C]2.1865[/C][/ROW]
[ROW][C]196[/C][C]12[/C][C]14.1759[/C][C]-2.17589[/C][/ROW]
[ROW][C]197[/C][C]14[/C][C]11.5636[/C][C]2.4364[/C][/ROW]
[ROW][C]198[/C][C]14[/C][C]13.9509[/C][C]0.0490582[/C][/ROW]
[ROW][C]199[/C][C]8[/C][C]11.1815[/C][C]-3.18146[/C][/ROW]
[ROW][C]200[/C][C]13[/C][C]14.1482[/C][C]-1.14816[/C][/ROW]
[ROW][C]201[/C][C]9[/C][C]12.1053[/C][C]-3.10529[/C][/ROW]
[ROW][C]202[/C][C]15[/C][C]13.8179[/C][C]1.18207[/C][/ROW]
[ROW][C]203[/C][C]17[/C][C]14.2904[/C][C]2.70955[/C][/ROW]
[ROW][C]204[/C][C]13[/C][C]12.8075[/C][C]0.192483[/C][/ROW]
[ROW][C]205[/C][C]15[/C][C]14.6563[/C][C]0.3437[/C][/ROW]
[ROW][C]206[/C][C]15[/C][C]13.667[/C][C]1.33297[/C][/ROW]
[ROW][C]207[/C][C]14[/C][C]14.0704[/C][C]-0.07039[/C][/ROW]
[ROW][C]208[/C][C]16[/C][C]13.0331[/C][C]2.96693[/C][/ROW]
[ROW][C]209[/C][C]13[/C][C]13.0382[/C][C]-0.0381736[/C][/ROW]
[ROW][C]210[/C][C]16[/C][C]15.0266[/C][C]0.973441[/C][/ROW]
[ROW][C]211[/C][C]9[/C][C]11.7679[/C][C]-2.76788[/C][/ROW]
[ROW][C]212[/C][C]16[/C][C]14.8308[/C][C]1.16917[/C][/ROW]
[ROW][C]213[/C][C]11[/C][C]11.6915[/C][C]-0.691529[/C][/ROW]
[ROW][C]214[/C][C]10[/C][C]13.6498[/C][C]-3.64983[/C][/ROW]
[ROW][C]215[/C][C]11[/C][C]12.5125[/C][C]-1.5125[/C][/ROW]
[ROW][C]216[/C][C]15[/C][C]13.2905[/C][C]1.70948[/C][/ROW]
[ROW][C]217[/C][C]17[/C][C]14.9027[/C][C]2.09726[/C][/ROW]
[ROW][C]218[/C][C]14[/C][C]14.0183[/C][C]-0.0183389[/C][/ROW]
[ROW][C]219[/C][C]8[/C][C]9.67428[/C][C]-1.67428[/C][/ROW]
[ROW][C]220[/C][C]15[/C][C]13.3599[/C][C]1.64012[/C][/ROW]
[ROW][C]221[/C][C]11[/C][C]14.0673[/C][C]-3.06731[/C][/ROW]
[ROW][C]222[/C][C]16[/C][C]14.9994[/C][C]1.00055[/C][/ROW]
[ROW][C]223[/C][C]10[/C][C]12.0998[/C][C]-2.09982[/C][/ROW]
[ROW][C]224[/C][C]15[/C][C]15.371[/C][C]-0.370961[/C][/ROW]
[ROW][C]225[/C][C]9[/C][C]10.2499[/C][C]-1.24988[/C][/ROW]
[ROW][C]226[/C][C]16[/C][C]14.0955[/C][C]1.90455[/C][/ROW]
[ROW][C]227[/C][C]19[/C][C]14.6059[/C][C]4.39407[/C][/ROW]
[ROW][C]228[/C][C]12[/C][C]13.8535[/C][C]-1.85351[/C][/ROW]
[ROW][C]229[/C][C]8[/C][C]9.34183[/C][C]-1.34183[/C][/ROW]
[ROW][C]230[/C][C]11[/C][C]13.3016[/C][C]-2.30158[/C][/ROW]
[ROW][C]231[/C][C]14[/C][C]13.6377[/C][C]0.362261[/C][/ROW]
[ROW][C]232[/C][C]9[/C][C]11.8987[/C][C]-2.89867[/C][/ROW]
[ROW][C]233[/C][C]15[/C][C]15.5945[/C][C]-0.594464[/C][/ROW]
[ROW][C]234[/C][C]13[/C][C]13.4807[/C][C]-0.480719[/C][/ROW]
[ROW][C]235[/C][C]16[/C][C]15.1096[/C][C]0.890423[/C][/ROW]
[ROW][C]236[/C][C]11[/C][C]13.3074[/C][C]-2.30736[/C][/ROW]
[ROW][C]237[/C][C]12[/C][C]10.7938[/C][C]1.20621[/C][/ROW]
[ROW][C]238[/C][C]13[/C][C]13.4696[/C][C]-0.469619[/C][/ROW]
[ROW][C]239[/C][C]10[/C][C]14.8022[/C][C]-4.80221[/C][/ROW]
[ROW][C]240[/C][C]11[/C][C]13.4104[/C][C]-2.4104[/C][/ROW]
[ROW][C]241[/C][C]12[/C][C]14.5864[/C][C]-2.58639[/C][/ROW]
[ROW][C]242[/C][C]8[/C][C]10.8949[/C][C]-2.8949[/C][/ROW]
[ROW][C]243[/C][C]12[/C][C]11.5484[/C][C]0.451621[/C][/ROW]
[ROW][C]244[/C][C]12[/C][C]12.2469[/C][C]-0.24688[/C][/ROW]
[ROW][C]245[/C][C]15[/C][C]13.514[/C][C]1.48599[/C][/ROW]
[ROW][C]246[/C][C]11[/C][C]11.372[/C][C]-0.371994[/C][/ROW]
[ROW][C]247[/C][C]13[/C][C]12.7972[/C][C]0.202789[/C][/ROW]
[ROW][C]248[/C][C]14[/C][C]9.56177[/C][C]4.43823[/C][/ROW]
[ROW][C]249[/C][C]10[/C][C]10.1586[/C][C]-0.158568[/C][/ROW]
[ROW][C]250[/C][C]12[/C][C]11.8301[/C][C]0.169855[/C][/ROW]
[ROW][C]251[/C][C]15[/C][C]13.0541[/C][C]1.94591[/C][/ROW]
[ROW][C]252[/C][C]13[/C][C]11.3412[/C][C]1.65882[/C][/ROW]
[ROW][C]253[/C][C]13[/C][C]14.3492[/C][C]-1.34924[/C][/ROW]
[ROW][C]254[/C][C]13[/C][C]13.7357[/C][C]-0.735685[/C][/ROW]
[ROW][C]255[/C][C]12[/C][C]11.5745[/C][C]0.425477[/C][/ROW]
[ROW][C]256[/C][C]12[/C][C]12.7531[/C][C]-0.753122[/C][/ROW]
[ROW][C]257[/C][C]9[/C][C]10.823[/C][C]-1.82303[/C][/ROW]
[ROW][C]258[/C][C]9[/C][C]12.4258[/C][C]-3.42582[/C][/ROW]
[ROW][C]259[/C][C]15[/C][C]12.7531[/C][C]2.24695[/C][/ROW]
[ROW][C]260[/C][C]10[/C][C]14.8726[/C][C]-4.87256[/C][/ROW]
[ROW][C]261[/C][C]14[/C][C]13.9558[/C][C]0.0442304[/C][/ROW]
[ROW][C]262[/C][C]15[/C][C]13.6949[/C][C]1.30514[/C][/ROW]
[ROW][C]263[/C][C]7[/C][C]9.98972[/C][C]-2.98972[/C][/ROW]
[ROW][C]264[/C][C]14[/C][C]13.77[/C][C]0.229963[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=226632&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=226632&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
11414.1813-0.181334
21814.64343.35661
31113.5195-2.51951
41214.0338-2.03383
51610.56845.43164
61814.77153.2285
71410.64793.35209
81415.0039-1.00387
91514.83660.16344
101513.8171.18304
111715.3561.64401
121915.7573.24296
131013.2514-3.25145
141613.48232.51773
151814.96393.03613
161413.24270.757291
171413.50580.494221
181716.13420.86577
191415.4345-1.43455
201614.24811.75191
211815.19312.80695
221113.3732-2.37318
231414.9809-0.980866
241213.3925-1.39249
251714.97742.0226
26915.6035-6.60349
271614.47411.52591
281412.88921.11083
291513.58321.41675
301114.5037-3.50366
311615.28920.710798
321312.8810.118996
331714.81952.18048
341514.68540.314642
351413.83130.168734
361614.9681.03205
37910.3344-1.33436
381513.95991.04005
391714.72772.27231
401315.0272-2.02724
411515.6609-0.66089
421614.09981.90023
431616.4131-0.41314
441213.6646-1.66457
451514.4070.592993
461113.3157-2.31566
471515.5893-0.589267
481514.37640.623597
491713.24343.75659
501314.3887-1.38872
511614.83661.16337
521413.09840.901572
531111.475-0.475003
541214.3799-2.37991
551213.7925-1.79246
561513.51281.48721
571613.90442.09555
581515.3846-0.384588
591215.2625-3.26246
601212.9132-0.913163
61810.5638-2.56376
621314.2397-1.2397
631114.0369-3.03689
641413.12390.876104
651513.98691.01306
661015.7188-5.71882
671112.5321-1.53208
681214.8146-2.81456
691513.4791.52104
701513.49031.50966
711413.47240.527596
721612.64223.35777
731514.26430.735678
741515.3445-0.344466
751314.3734-1.37338
761211.55260.447412
771714.08752.91255
781313.1093-0.10927
791513.38571.61434
801315.9048-2.9048
811514.62910.370855
821515.5098-0.509792
831614.42941.5706
841513.95591.04414
851413.94230.0577453
861513.63991.36008
871414.0118-0.0118059
881312.89940.100562
89710.2331-3.23312
901714.2412.75904
911313.1956-0.19558
921514.37390.626124
931412.81051.18947
941313.5803-0.580253
951615.01090.989116
961212.551-0.551008
971414.7833-0.783344
981714.62692.37307
991514.58180.418236
1001715.10251.89752
1011212.8589-0.858937
1021615.68860.311394
1031114.4728-3.4728
1041513.1121.88795
105911.1239-2.12389
1061614.85411.14586
1071513.051.94998
1081012.9382-2.93824
109109.282660.717339
1101513.29871.70132
1111112.7584-1.7584
1121314.7598-1.75979
1131412.80571.19432
1141814.72793.27207
1151615.35070.64931
1161413.69020.309764
1171413.63370.366296
1181415.1026-1.10261
1191413.37870.621329
1201212.5481-0.548104
1211413.47140.528644
1221514.32870.671311
1231515.7277-0.727683
1241514.50410.495851
1251314.7616-1.76161
1261716.7170.283032
1271715.40721.59276
1281914.98724.01279
1291513.35341.64663
1301314.6183-1.61835
131910.4449-1.44493
1321515.0412-0.0411595
1331512.55012.44991
1341514.01870.981272
1351613.02622.97376
136119.21041.7896
1371413.49770.502257
1381112.8852-1.8852
1391514.21630.783705
1401314.0656-1.06556
1411514.99950.000469968
1421613.28812.71194
1431414.5677-0.567682
1441513.96551.03446
1451614.15261.84743
1461614.31881.68119
1471113.3177-2.31771
1481214.5565-2.55654
149911.2317-2.23166
1501614.54871.45131
1511312.29180.708161
1521615.94750.0524949
1531214.2838-2.28384
154911.2576-2.25757
1551311.32761.67244
1561313.032-0.0319758
1571413.21520.784764
1581914.45824.54184
1591315.2233-2.22328
1601211.31230.687748
1611312.46040.539626
162109.766310.233689
1631412.87061.12939
1641611.64824.35178
1651011.7248-1.72484
166118.899112.10089
1671414.1938-0.19381
1681212.4963-0.496297
169912.4492-3.44919
170911.6584-2.65843
1711110.3460.653995
1721614.26981.73019
173914.0651-5.06508
1741312.14240.857607
1751613.37462.62538
1761315.7699-2.76991
177912.175-3.17501
1781211.25650.743492
1791615.00140.998605
1801112.9163-1.91626
1811414.8421-0.842122
1821314.7727-1.77267
1831514.75630.243742
1841414.9498-0.949773
1851613.61752.38247
1861312.31030.689696
1871413.61630.383681
1881514.28410.715892
1891312.67180.328234
1901110.00970.99031
1911113.8485-2.8485
1921415.0331-1.03312
1931512.65862.34136
1941112.5994-1.59945
1951512.81352.1865
1961214.1759-2.17589
1971411.56362.4364
1981413.95090.0490582
199811.1815-3.18146
2001314.1482-1.14816
201912.1053-3.10529
2021513.81791.18207
2031714.29042.70955
2041312.80750.192483
2051514.65630.3437
2061513.6671.33297
2071414.0704-0.07039
2081613.03312.96693
2091313.0382-0.0381736
2101615.02660.973441
211911.7679-2.76788
2121614.83081.16917
2131111.6915-0.691529
2141013.6498-3.64983
2151112.5125-1.5125
2161513.29051.70948
2171714.90272.09726
2181414.0183-0.0183389
21989.67428-1.67428
2201513.35991.64012
2211114.0673-3.06731
2221614.99941.00055
2231012.0998-2.09982
2241515.371-0.370961
225910.2499-1.24988
2261614.09551.90455
2271914.60594.39407
2281213.8535-1.85351
22989.34183-1.34183
2301113.3016-2.30158
2311413.63770.362261
232911.8987-2.89867
2331515.5945-0.594464
2341313.4807-0.480719
2351615.10960.890423
2361113.3074-2.30736
2371210.79381.20621
2381313.4696-0.469619
2391014.8022-4.80221
2401113.4104-2.4104
2411214.5864-2.58639
242810.8949-2.8949
2431211.54840.451621
2441212.2469-0.24688
2451513.5141.48599
2461111.372-0.371994
2471312.79720.202789
248149.561774.43823
2491010.1586-0.158568
2501211.83010.169855
2511513.05411.94591
2521311.34121.65882
2531314.3492-1.34924
2541313.7357-0.735685
2551211.57450.425477
2561212.7531-0.753122
257910.823-1.82303
258912.4258-3.42582
2591512.75312.24695
2601014.8726-4.87256
2611413.95580.0442304
2621513.69491.30514
26379.98972-2.98972
2641413.770.229963






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
190.5666750.8666490.433325
200.747420.505160.25258
210.9139090.1721830.0860913
220.8792990.2414010.120701
230.8402820.3194360.159718
240.9397290.1205420.0602708
250.9597610.08047780.0402389
260.9996510.0006987710.000349386
270.9993530.001293720.000646861
280.9989380.002124120.00106206
290.9981620.0036770.0018385
300.9997080.000583490.000291745
310.9995240.0009521370.000476068
320.9991990.001601590.000800797
330.9987420.002515480.00125774
340.9981610.003678370.00183919
350.997120.005759790.0028799
360.9955340.008932710.00446636
370.9938420.01231690.00615847
380.9916560.01668770.00834383
390.9903160.01936850.00968426
400.988560.02287970.0114399
410.9867770.02644630.0132232
420.9831650.03366920.0168346
430.9765170.04696650.0234832
440.9759840.04803210.024016
450.9705840.05883110.0294155
460.9710670.05786630.0289331
470.9619170.07616640.0380832
480.9505330.09893360.0494668
490.9713860.0572290.0286145
500.9652350.069530.034765
510.9556170.0887650.0443825
520.946710.106580.0532901
530.9460170.1079660.0539832
540.9542770.09144610.045723
550.9483070.1033870.0516934
560.9402730.1194550.0597275
570.9301110.1397780.0698891
580.9151160.1697690.0848843
590.9285510.1428990.0714493
600.927430.1451410.0725703
610.9368070.1263860.063193
620.9256160.1487680.074384
630.9493380.1013230.0506615
640.939180.121640.0608201
650.9265230.1469550.0734774
660.9787180.04256410.0212821
670.9771470.04570680.0228534
680.9796260.04074710.0203736
690.9757570.0484860.024243
700.9731460.05370720.0268536
710.9666020.06679530.0333977
720.9717270.05654630.0282732
730.9656320.0687360.034368
740.9570120.08597620.0429881
750.9505680.09886340.0494317
760.939110.121780.0608898
770.9420040.1159930.0579963
780.929980.1400390.0700197
790.925450.1491010.0745503
800.9293730.1412540.0706269
810.9200650.1598710.0799354
820.9044070.1911850.0955926
830.8987620.2024770.101238
840.8834550.233090.116545
850.8637860.2724280.136214
860.8488390.3023220.151161
870.824390.3512210.17561
880.7973860.4052280.202614
890.8762890.2474220.123711
900.8940840.2118310.105916
910.8751970.2496070.124803
920.855120.289760.14488
930.8369570.3260860.163043
940.8134220.3731550.186578
950.7925250.414950.207475
960.7730430.4539140.226957
970.7462130.5075740.253787
980.7568850.4862310.243115
990.7269860.5460270.273014
1000.7211810.5576380.278819
1010.7019410.5961170.298059
1020.670080.659840.32992
1030.7211760.5576480.278824
1040.7094690.5810620.290531
1050.732330.5353410.26767
1060.7157410.5685190.284259
1070.7077730.5844550.292227
1080.7457280.5085440.254272
1090.718520.5629610.28148
1100.7030310.5939380.296969
1110.6939150.612170.306085
1120.701660.596680.29834
1130.6795620.6408760.320438
1140.7311080.5377830.268892
1150.7051160.5897670.294884
1160.6728890.6542220.327111
1170.6555210.6889580.344479
1180.6293960.7412080.370604
1190.5972060.8055880.402794
1200.5674460.8651080.432554
1210.5378420.9243160.462158
1220.507250.98550.49275
1230.4746720.9493440.525328
1240.440760.8815190.55924
1250.4350880.8701760.564912
1260.4000820.8001630.599918
1270.3846790.7693580.615321
1280.4842250.968450.515775
1290.4771290.9542590.522871
1300.4607080.9214160.539292
1310.4419490.8838980.558051
1320.4082530.8165060.591747
1330.4212190.8424380.578781
1340.3975080.7950160.602492
1350.4407980.8815960.559202
1360.4299640.8599280.570036
1370.399350.79870.60065
1380.397430.794860.60257
1390.3662670.7325340.633733
1400.3425920.6851840.657408
1410.3166510.6333020.683349
1420.3442050.6884110.655795
1430.3120390.6240770.687961
1440.2906130.5812270.709387
1450.2850540.5701080.714946
1460.2793160.5586320.720684
1470.287680.575360.71232
1480.3055420.6110850.694458
1490.3106620.6213250.689338
1500.2983340.5966680.701666
1510.2726460.5452920.727354
1520.2429110.4858220.757089
1530.2466620.4933230.753338
1540.2505830.5011650.749417
1550.2383380.4766760.761662
1560.2103980.4207970.789602
1570.1910750.3821510.808925
1580.3366660.6733310.663334
1590.3419440.6838880.658056
1600.3113120.6226240.688688
1610.2853760.5707520.714624
1620.2545850.5091690.745415
1630.230620.461240.76938
1640.3529080.7058160.647092
1650.3389530.6779050.661047
1660.33010.6601990.6699
1670.2960210.5920410.703979
1680.2666380.5332750.733362
1690.3136910.6273820.686309
1700.321560.643120.67844
1710.2884890.5769770.711511
1720.2822040.5644090.717796
1730.4500440.9000880.549956
1740.4135110.8270230.586489
1750.4386660.8773320.561334
1760.4568890.9137770.543111
1770.4922450.984490.507755
1780.455630.9112590.54437
1790.42710.85420.5729
1800.4150790.8301580.584921
1810.3801360.7602720.619864
1820.3589120.7178240.641088
1830.3215640.6431290.678436
1840.2912090.5824170.708791
1850.3030940.6061890.696906
1860.2758020.5516030.724198
1870.2462360.4924710.753764
1880.2187360.4374730.781264
1890.1920370.3840730.807963
1900.1709890.3419780.829011
1910.1877440.3754890.812256
1920.1670280.3340560.832972
1930.1809460.3618930.819054
1940.1618230.3236460.838177
1950.1597870.3195750.840213
1960.1642820.3285650.835718
1970.1916190.3832370.808381
1980.1635770.3271550.836423
1990.1808620.3617240.819138
2000.1567660.3135320.843234
2010.1848680.3697360.815132
2020.1656890.3313790.834311
2030.1888350.377670.811165
2040.1594040.3188070.840596
2050.1350160.2700310.864984
2060.1354480.2708950.864552
2070.1120730.2241460.887927
2080.1320350.264070.867965
2090.1122410.2244820.887759
2100.09862210.1972440.901378
2110.1095830.2191670.890417
2120.0959750.191950.904025
2130.07827310.1565460.921727
2140.1351280.2702560.864872
2150.1203170.2406330.879683
2160.1175270.2350530.882473
2170.1320450.2640910.867955
2180.1168990.2337980.883101
2190.1170360.2340720.882964
2200.1161170.2322340.883883
2210.1214260.2428510.878574
2220.1190310.2380610.880969
2230.1421870.2843740.857813
2240.1149210.2298430.885079
2250.1117930.2235870.888207
2260.1011070.2022150.898893
2270.3932280.7864550.606772
2280.3677350.735470.632265
2290.326680.653360.67332
2300.276340.552680.72366
2310.223370.4467390.77663
2320.2227510.4455030.777249
2330.1820060.3640130.817994
2340.1541530.3083050.845847
2350.1211760.2423510.878824
2360.1028490.2056980.897151
2370.08787190.1757440.912128
2380.05979080.1195820.940209
2390.1225390.2450790.877461
2400.09528280.1905660.904717
2410.06714160.1342830.932858
2420.04415560.08831120.955844
2430.02447610.04895230.975524
2440.01211620.02423230.987884
2450.06936080.1387220.930639

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
19 & 0.566675 & 0.866649 & 0.433325 \tabularnewline
20 & 0.74742 & 0.50516 & 0.25258 \tabularnewline
21 & 0.913909 & 0.172183 & 0.0860913 \tabularnewline
22 & 0.879299 & 0.241401 & 0.120701 \tabularnewline
23 & 0.840282 & 0.319436 & 0.159718 \tabularnewline
24 & 0.939729 & 0.120542 & 0.0602708 \tabularnewline
25 & 0.959761 & 0.0804778 & 0.0402389 \tabularnewline
26 & 0.999651 & 0.000698771 & 0.000349386 \tabularnewline
27 & 0.999353 & 0.00129372 & 0.000646861 \tabularnewline
28 & 0.998938 & 0.00212412 & 0.00106206 \tabularnewline
29 & 0.998162 & 0.003677 & 0.0018385 \tabularnewline
30 & 0.999708 & 0.00058349 & 0.000291745 \tabularnewline
31 & 0.999524 & 0.000952137 & 0.000476068 \tabularnewline
32 & 0.999199 & 0.00160159 & 0.000800797 \tabularnewline
33 & 0.998742 & 0.00251548 & 0.00125774 \tabularnewline
34 & 0.998161 & 0.00367837 & 0.00183919 \tabularnewline
35 & 0.99712 & 0.00575979 & 0.0028799 \tabularnewline
36 & 0.995534 & 0.00893271 & 0.00446636 \tabularnewline
37 & 0.993842 & 0.0123169 & 0.00615847 \tabularnewline
38 & 0.991656 & 0.0166877 & 0.00834383 \tabularnewline
39 & 0.990316 & 0.0193685 & 0.00968426 \tabularnewline
40 & 0.98856 & 0.0228797 & 0.0114399 \tabularnewline
41 & 0.986777 & 0.0264463 & 0.0132232 \tabularnewline
42 & 0.983165 & 0.0336692 & 0.0168346 \tabularnewline
43 & 0.976517 & 0.0469665 & 0.0234832 \tabularnewline
44 & 0.975984 & 0.0480321 & 0.024016 \tabularnewline
45 & 0.970584 & 0.0588311 & 0.0294155 \tabularnewline
46 & 0.971067 & 0.0578663 & 0.0289331 \tabularnewline
47 & 0.961917 & 0.0761664 & 0.0380832 \tabularnewline
48 & 0.950533 & 0.0989336 & 0.0494668 \tabularnewline
49 & 0.971386 & 0.057229 & 0.0286145 \tabularnewline
50 & 0.965235 & 0.06953 & 0.034765 \tabularnewline
51 & 0.955617 & 0.088765 & 0.0443825 \tabularnewline
52 & 0.94671 & 0.10658 & 0.0532901 \tabularnewline
53 & 0.946017 & 0.107966 & 0.0539832 \tabularnewline
54 & 0.954277 & 0.0914461 & 0.045723 \tabularnewline
55 & 0.948307 & 0.103387 & 0.0516934 \tabularnewline
56 & 0.940273 & 0.119455 & 0.0597275 \tabularnewline
57 & 0.930111 & 0.139778 & 0.0698891 \tabularnewline
58 & 0.915116 & 0.169769 & 0.0848843 \tabularnewline
59 & 0.928551 & 0.142899 & 0.0714493 \tabularnewline
60 & 0.92743 & 0.145141 & 0.0725703 \tabularnewline
61 & 0.936807 & 0.126386 & 0.063193 \tabularnewline
62 & 0.925616 & 0.148768 & 0.074384 \tabularnewline
63 & 0.949338 & 0.101323 & 0.0506615 \tabularnewline
64 & 0.93918 & 0.12164 & 0.0608201 \tabularnewline
65 & 0.926523 & 0.146955 & 0.0734774 \tabularnewline
66 & 0.978718 & 0.0425641 & 0.0212821 \tabularnewline
67 & 0.977147 & 0.0457068 & 0.0228534 \tabularnewline
68 & 0.979626 & 0.0407471 & 0.0203736 \tabularnewline
69 & 0.975757 & 0.048486 & 0.024243 \tabularnewline
70 & 0.973146 & 0.0537072 & 0.0268536 \tabularnewline
71 & 0.966602 & 0.0667953 & 0.0333977 \tabularnewline
72 & 0.971727 & 0.0565463 & 0.0282732 \tabularnewline
73 & 0.965632 & 0.068736 & 0.034368 \tabularnewline
74 & 0.957012 & 0.0859762 & 0.0429881 \tabularnewline
75 & 0.950568 & 0.0988634 & 0.0494317 \tabularnewline
76 & 0.93911 & 0.12178 & 0.0608898 \tabularnewline
77 & 0.942004 & 0.115993 & 0.0579963 \tabularnewline
78 & 0.92998 & 0.140039 & 0.0700197 \tabularnewline
79 & 0.92545 & 0.149101 & 0.0745503 \tabularnewline
80 & 0.929373 & 0.141254 & 0.0706269 \tabularnewline
81 & 0.920065 & 0.159871 & 0.0799354 \tabularnewline
82 & 0.904407 & 0.191185 & 0.0955926 \tabularnewline
83 & 0.898762 & 0.202477 & 0.101238 \tabularnewline
84 & 0.883455 & 0.23309 & 0.116545 \tabularnewline
85 & 0.863786 & 0.272428 & 0.136214 \tabularnewline
86 & 0.848839 & 0.302322 & 0.151161 \tabularnewline
87 & 0.82439 & 0.351221 & 0.17561 \tabularnewline
88 & 0.797386 & 0.405228 & 0.202614 \tabularnewline
89 & 0.876289 & 0.247422 & 0.123711 \tabularnewline
90 & 0.894084 & 0.211831 & 0.105916 \tabularnewline
91 & 0.875197 & 0.249607 & 0.124803 \tabularnewline
92 & 0.85512 & 0.28976 & 0.14488 \tabularnewline
93 & 0.836957 & 0.326086 & 0.163043 \tabularnewline
94 & 0.813422 & 0.373155 & 0.186578 \tabularnewline
95 & 0.792525 & 0.41495 & 0.207475 \tabularnewline
96 & 0.773043 & 0.453914 & 0.226957 \tabularnewline
97 & 0.746213 & 0.507574 & 0.253787 \tabularnewline
98 & 0.756885 & 0.486231 & 0.243115 \tabularnewline
99 & 0.726986 & 0.546027 & 0.273014 \tabularnewline
100 & 0.721181 & 0.557638 & 0.278819 \tabularnewline
101 & 0.701941 & 0.596117 & 0.298059 \tabularnewline
102 & 0.67008 & 0.65984 & 0.32992 \tabularnewline
103 & 0.721176 & 0.557648 & 0.278824 \tabularnewline
104 & 0.709469 & 0.581062 & 0.290531 \tabularnewline
105 & 0.73233 & 0.535341 & 0.26767 \tabularnewline
106 & 0.715741 & 0.568519 & 0.284259 \tabularnewline
107 & 0.707773 & 0.584455 & 0.292227 \tabularnewline
108 & 0.745728 & 0.508544 & 0.254272 \tabularnewline
109 & 0.71852 & 0.562961 & 0.28148 \tabularnewline
110 & 0.703031 & 0.593938 & 0.296969 \tabularnewline
111 & 0.693915 & 0.61217 & 0.306085 \tabularnewline
112 & 0.70166 & 0.59668 & 0.29834 \tabularnewline
113 & 0.679562 & 0.640876 & 0.320438 \tabularnewline
114 & 0.731108 & 0.537783 & 0.268892 \tabularnewline
115 & 0.705116 & 0.589767 & 0.294884 \tabularnewline
116 & 0.672889 & 0.654222 & 0.327111 \tabularnewline
117 & 0.655521 & 0.688958 & 0.344479 \tabularnewline
118 & 0.629396 & 0.741208 & 0.370604 \tabularnewline
119 & 0.597206 & 0.805588 & 0.402794 \tabularnewline
120 & 0.567446 & 0.865108 & 0.432554 \tabularnewline
121 & 0.537842 & 0.924316 & 0.462158 \tabularnewline
122 & 0.50725 & 0.9855 & 0.49275 \tabularnewline
123 & 0.474672 & 0.949344 & 0.525328 \tabularnewline
124 & 0.44076 & 0.881519 & 0.55924 \tabularnewline
125 & 0.435088 & 0.870176 & 0.564912 \tabularnewline
126 & 0.400082 & 0.800163 & 0.599918 \tabularnewline
127 & 0.384679 & 0.769358 & 0.615321 \tabularnewline
128 & 0.484225 & 0.96845 & 0.515775 \tabularnewline
129 & 0.477129 & 0.954259 & 0.522871 \tabularnewline
130 & 0.460708 & 0.921416 & 0.539292 \tabularnewline
131 & 0.441949 & 0.883898 & 0.558051 \tabularnewline
132 & 0.408253 & 0.816506 & 0.591747 \tabularnewline
133 & 0.421219 & 0.842438 & 0.578781 \tabularnewline
134 & 0.397508 & 0.795016 & 0.602492 \tabularnewline
135 & 0.440798 & 0.881596 & 0.559202 \tabularnewline
136 & 0.429964 & 0.859928 & 0.570036 \tabularnewline
137 & 0.39935 & 0.7987 & 0.60065 \tabularnewline
138 & 0.39743 & 0.79486 & 0.60257 \tabularnewline
139 & 0.366267 & 0.732534 & 0.633733 \tabularnewline
140 & 0.342592 & 0.685184 & 0.657408 \tabularnewline
141 & 0.316651 & 0.633302 & 0.683349 \tabularnewline
142 & 0.344205 & 0.688411 & 0.655795 \tabularnewline
143 & 0.312039 & 0.624077 & 0.687961 \tabularnewline
144 & 0.290613 & 0.581227 & 0.709387 \tabularnewline
145 & 0.285054 & 0.570108 & 0.714946 \tabularnewline
146 & 0.279316 & 0.558632 & 0.720684 \tabularnewline
147 & 0.28768 & 0.57536 & 0.71232 \tabularnewline
148 & 0.305542 & 0.611085 & 0.694458 \tabularnewline
149 & 0.310662 & 0.621325 & 0.689338 \tabularnewline
150 & 0.298334 & 0.596668 & 0.701666 \tabularnewline
151 & 0.272646 & 0.545292 & 0.727354 \tabularnewline
152 & 0.242911 & 0.485822 & 0.757089 \tabularnewline
153 & 0.246662 & 0.493323 & 0.753338 \tabularnewline
154 & 0.250583 & 0.501165 & 0.749417 \tabularnewline
155 & 0.238338 & 0.476676 & 0.761662 \tabularnewline
156 & 0.210398 & 0.420797 & 0.789602 \tabularnewline
157 & 0.191075 & 0.382151 & 0.808925 \tabularnewline
158 & 0.336666 & 0.673331 & 0.663334 \tabularnewline
159 & 0.341944 & 0.683888 & 0.658056 \tabularnewline
160 & 0.311312 & 0.622624 & 0.688688 \tabularnewline
161 & 0.285376 & 0.570752 & 0.714624 \tabularnewline
162 & 0.254585 & 0.509169 & 0.745415 \tabularnewline
163 & 0.23062 & 0.46124 & 0.76938 \tabularnewline
164 & 0.352908 & 0.705816 & 0.647092 \tabularnewline
165 & 0.338953 & 0.677905 & 0.661047 \tabularnewline
166 & 0.3301 & 0.660199 & 0.6699 \tabularnewline
167 & 0.296021 & 0.592041 & 0.703979 \tabularnewline
168 & 0.266638 & 0.533275 & 0.733362 \tabularnewline
169 & 0.313691 & 0.627382 & 0.686309 \tabularnewline
170 & 0.32156 & 0.64312 & 0.67844 \tabularnewline
171 & 0.288489 & 0.576977 & 0.711511 \tabularnewline
172 & 0.282204 & 0.564409 & 0.717796 \tabularnewline
173 & 0.450044 & 0.900088 & 0.549956 \tabularnewline
174 & 0.413511 & 0.827023 & 0.586489 \tabularnewline
175 & 0.438666 & 0.877332 & 0.561334 \tabularnewline
176 & 0.456889 & 0.913777 & 0.543111 \tabularnewline
177 & 0.492245 & 0.98449 & 0.507755 \tabularnewline
178 & 0.45563 & 0.911259 & 0.54437 \tabularnewline
179 & 0.4271 & 0.8542 & 0.5729 \tabularnewline
180 & 0.415079 & 0.830158 & 0.584921 \tabularnewline
181 & 0.380136 & 0.760272 & 0.619864 \tabularnewline
182 & 0.358912 & 0.717824 & 0.641088 \tabularnewline
183 & 0.321564 & 0.643129 & 0.678436 \tabularnewline
184 & 0.291209 & 0.582417 & 0.708791 \tabularnewline
185 & 0.303094 & 0.606189 & 0.696906 \tabularnewline
186 & 0.275802 & 0.551603 & 0.724198 \tabularnewline
187 & 0.246236 & 0.492471 & 0.753764 \tabularnewline
188 & 0.218736 & 0.437473 & 0.781264 \tabularnewline
189 & 0.192037 & 0.384073 & 0.807963 \tabularnewline
190 & 0.170989 & 0.341978 & 0.829011 \tabularnewline
191 & 0.187744 & 0.375489 & 0.812256 \tabularnewline
192 & 0.167028 & 0.334056 & 0.832972 \tabularnewline
193 & 0.180946 & 0.361893 & 0.819054 \tabularnewline
194 & 0.161823 & 0.323646 & 0.838177 \tabularnewline
195 & 0.159787 & 0.319575 & 0.840213 \tabularnewline
196 & 0.164282 & 0.328565 & 0.835718 \tabularnewline
197 & 0.191619 & 0.383237 & 0.808381 \tabularnewline
198 & 0.163577 & 0.327155 & 0.836423 \tabularnewline
199 & 0.180862 & 0.361724 & 0.819138 \tabularnewline
200 & 0.156766 & 0.313532 & 0.843234 \tabularnewline
201 & 0.184868 & 0.369736 & 0.815132 \tabularnewline
202 & 0.165689 & 0.331379 & 0.834311 \tabularnewline
203 & 0.188835 & 0.37767 & 0.811165 \tabularnewline
204 & 0.159404 & 0.318807 & 0.840596 \tabularnewline
205 & 0.135016 & 0.270031 & 0.864984 \tabularnewline
206 & 0.135448 & 0.270895 & 0.864552 \tabularnewline
207 & 0.112073 & 0.224146 & 0.887927 \tabularnewline
208 & 0.132035 & 0.26407 & 0.867965 \tabularnewline
209 & 0.112241 & 0.224482 & 0.887759 \tabularnewline
210 & 0.0986221 & 0.197244 & 0.901378 \tabularnewline
211 & 0.109583 & 0.219167 & 0.890417 \tabularnewline
212 & 0.095975 & 0.19195 & 0.904025 \tabularnewline
213 & 0.0782731 & 0.156546 & 0.921727 \tabularnewline
214 & 0.135128 & 0.270256 & 0.864872 \tabularnewline
215 & 0.120317 & 0.240633 & 0.879683 \tabularnewline
216 & 0.117527 & 0.235053 & 0.882473 \tabularnewline
217 & 0.132045 & 0.264091 & 0.867955 \tabularnewline
218 & 0.116899 & 0.233798 & 0.883101 \tabularnewline
219 & 0.117036 & 0.234072 & 0.882964 \tabularnewline
220 & 0.116117 & 0.232234 & 0.883883 \tabularnewline
221 & 0.121426 & 0.242851 & 0.878574 \tabularnewline
222 & 0.119031 & 0.238061 & 0.880969 \tabularnewline
223 & 0.142187 & 0.284374 & 0.857813 \tabularnewline
224 & 0.114921 & 0.229843 & 0.885079 \tabularnewline
225 & 0.111793 & 0.223587 & 0.888207 \tabularnewline
226 & 0.101107 & 0.202215 & 0.898893 \tabularnewline
227 & 0.393228 & 0.786455 & 0.606772 \tabularnewline
228 & 0.367735 & 0.73547 & 0.632265 \tabularnewline
229 & 0.32668 & 0.65336 & 0.67332 \tabularnewline
230 & 0.27634 & 0.55268 & 0.72366 \tabularnewline
231 & 0.22337 & 0.446739 & 0.77663 \tabularnewline
232 & 0.222751 & 0.445503 & 0.777249 \tabularnewline
233 & 0.182006 & 0.364013 & 0.817994 \tabularnewline
234 & 0.154153 & 0.308305 & 0.845847 \tabularnewline
235 & 0.121176 & 0.242351 & 0.878824 \tabularnewline
236 & 0.102849 & 0.205698 & 0.897151 \tabularnewline
237 & 0.0878719 & 0.175744 & 0.912128 \tabularnewline
238 & 0.0597908 & 0.119582 & 0.940209 \tabularnewline
239 & 0.122539 & 0.245079 & 0.877461 \tabularnewline
240 & 0.0952828 & 0.190566 & 0.904717 \tabularnewline
241 & 0.0671416 & 0.134283 & 0.932858 \tabularnewline
242 & 0.0441556 & 0.0883112 & 0.955844 \tabularnewline
243 & 0.0244761 & 0.0489523 & 0.975524 \tabularnewline
244 & 0.0121162 & 0.0242323 & 0.987884 \tabularnewline
245 & 0.0693608 & 0.138722 & 0.930639 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=226632&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]19[/C][C]0.566675[/C][C]0.866649[/C][C]0.433325[/C][/ROW]
[ROW][C]20[/C][C]0.74742[/C][C]0.50516[/C][C]0.25258[/C][/ROW]
[ROW][C]21[/C][C]0.913909[/C][C]0.172183[/C][C]0.0860913[/C][/ROW]
[ROW][C]22[/C][C]0.879299[/C][C]0.241401[/C][C]0.120701[/C][/ROW]
[ROW][C]23[/C][C]0.840282[/C][C]0.319436[/C][C]0.159718[/C][/ROW]
[ROW][C]24[/C][C]0.939729[/C][C]0.120542[/C][C]0.0602708[/C][/ROW]
[ROW][C]25[/C][C]0.959761[/C][C]0.0804778[/C][C]0.0402389[/C][/ROW]
[ROW][C]26[/C][C]0.999651[/C][C]0.000698771[/C][C]0.000349386[/C][/ROW]
[ROW][C]27[/C][C]0.999353[/C][C]0.00129372[/C][C]0.000646861[/C][/ROW]
[ROW][C]28[/C][C]0.998938[/C][C]0.00212412[/C][C]0.00106206[/C][/ROW]
[ROW][C]29[/C][C]0.998162[/C][C]0.003677[/C][C]0.0018385[/C][/ROW]
[ROW][C]30[/C][C]0.999708[/C][C]0.00058349[/C][C]0.000291745[/C][/ROW]
[ROW][C]31[/C][C]0.999524[/C][C]0.000952137[/C][C]0.000476068[/C][/ROW]
[ROW][C]32[/C][C]0.999199[/C][C]0.00160159[/C][C]0.000800797[/C][/ROW]
[ROW][C]33[/C][C]0.998742[/C][C]0.00251548[/C][C]0.00125774[/C][/ROW]
[ROW][C]34[/C][C]0.998161[/C][C]0.00367837[/C][C]0.00183919[/C][/ROW]
[ROW][C]35[/C][C]0.99712[/C][C]0.00575979[/C][C]0.0028799[/C][/ROW]
[ROW][C]36[/C][C]0.995534[/C][C]0.00893271[/C][C]0.00446636[/C][/ROW]
[ROW][C]37[/C][C]0.993842[/C][C]0.0123169[/C][C]0.00615847[/C][/ROW]
[ROW][C]38[/C][C]0.991656[/C][C]0.0166877[/C][C]0.00834383[/C][/ROW]
[ROW][C]39[/C][C]0.990316[/C][C]0.0193685[/C][C]0.00968426[/C][/ROW]
[ROW][C]40[/C][C]0.98856[/C][C]0.0228797[/C][C]0.0114399[/C][/ROW]
[ROW][C]41[/C][C]0.986777[/C][C]0.0264463[/C][C]0.0132232[/C][/ROW]
[ROW][C]42[/C][C]0.983165[/C][C]0.0336692[/C][C]0.0168346[/C][/ROW]
[ROW][C]43[/C][C]0.976517[/C][C]0.0469665[/C][C]0.0234832[/C][/ROW]
[ROW][C]44[/C][C]0.975984[/C][C]0.0480321[/C][C]0.024016[/C][/ROW]
[ROW][C]45[/C][C]0.970584[/C][C]0.0588311[/C][C]0.0294155[/C][/ROW]
[ROW][C]46[/C][C]0.971067[/C][C]0.0578663[/C][C]0.0289331[/C][/ROW]
[ROW][C]47[/C][C]0.961917[/C][C]0.0761664[/C][C]0.0380832[/C][/ROW]
[ROW][C]48[/C][C]0.950533[/C][C]0.0989336[/C][C]0.0494668[/C][/ROW]
[ROW][C]49[/C][C]0.971386[/C][C]0.057229[/C][C]0.0286145[/C][/ROW]
[ROW][C]50[/C][C]0.965235[/C][C]0.06953[/C][C]0.034765[/C][/ROW]
[ROW][C]51[/C][C]0.955617[/C][C]0.088765[/C][C]0.0443825[/C][/ROW]
[ROW][C]52[/C][C]0.94671[/C][C]0.10658[/C][C]0.0532901[/C][/ROW]
[ROW][C]53[/C][C]0.946017[/C][C]0.107966[/C][C]0.0539832[/C][/ROW]
[ROW][C]54[/C][C]0.954277[/C][C]0.0914461[/C][C]0.045723[/C][/ROW]
[ROW][C]55[/C][C]0.948307[/C][C]0.103387[/C][C]0.0516934[/C][/ROW]
[ROW][C]56[/C][C]0.940273[/C][C]0.119455[/C][C]0.0597275[/C][/ROW]
[ROW][C]57[/C][C]0.930111[/C][C]0.139778[/C][C]0.0698891[/C][/ROW]
[ROW][C]58[/C][C]0.915116[/C][C]0.169769[/C][C]0.0848843[/C][/ROW]
[ROW][C]59[/C][C]0.928551[/C][C]0.142899[/C][C]0.0714493[/C][/ROW]
[ROW][C]60[/C][C]0.92743[/C][C]0.145141[/C][C]0.0725703[/C][/ROW]
[ROW][C]61[/C][C]0.936807[/C][C]0.126386[/C][C]0.063193[/C][/ROW]
[ROW][C]62[/C][C]0.925616[/C][C]0.148768[/C][C]0.074384[/C][/ROW]
[ROW][C]63[/C][C]0.949338[/C][C]0.101323[/C][C]0.0506615[/C][/ROW]
[ROW][C]64[/C][C]0.93918[/C][C]0.12164[/C][C]0.0608201[/C][/ROW]
[ROW][C]65[/C][C]0.926523[/C][C]0.146955[/C][C]0.0734774[/C][/ROW]
[ROW][C]66[/C][C]0.978718[/C][C]0.0425641[/C][C]0.0212821[/C][/ROW]
[ROW][C]67[/C][C]0.977147[/C][C]0.0457068[/C][C]0.0228534[/C][/ROW]
[ROW][C]68[/C][C]0.979626[/C][C]0.0407471[/C][C]0.0203736[/C][/ROW]
[ROW][C]69[/C][C]0.975757[/C][C]0.048486[/C][C]0.024243[/C][/ROW]
[ROW][C]70[/C][C]0.973146[/C][C]0.0537072[/C][C]0.0268536[/C][/ROW]
[ROW][C]71[/C][C]0.966602[/C][C]0.0667953[/C][C]0.0333977[/C][/ROW]
[ROW][C]72[/C][C]0.971727[/C][C]0.0565463[/C][C]0.0282732[/C][/ROW]
[ROW][C]73[/C][C]0.965632[/C][C]0.068736[/C][C]0.034368[/C][/ROW]
[ROW][C]74[/C][C]0.957012[/C][C]0.0859762[/C][C]0.0429881[/C][/ROW]
[ROW][C]75[/C][C]0.950568[/C][C]0.0988634[/C][C]0.0494317[/C][/ROW]
[ROW][C]76[/C][C]0.93911[/C][C]0.12178[/C][C]0.0608898[/C][/ROW]
[ROW][C]77[/C][C]0.942004[/C][C]0.115993[/C][C]0.0579963[/C][/ROW]
[ROW][C]78[/C][C]0.92998[/C][C]0.140039[/C][C]0.0700197[/C][/ROW]
[ROW][C]79[/C][C]0.92545[/C][C]0.149101[/C][C]0.0745503[/C][/ROW]
[ROW][C]80[/C][C]0.929373[/C][C]0.141254[/C][C]0.0706269[/C][/ROW]
[ROW][C]81[/C][C]0.920065[/C][C]0.159871[/C][C]0.0799354[/C][/ROW]
[ROW][C]82[/C][C]0.904407[/C][C]0.191185[/C][C]0.0955926[/C][/ROW]
[ROW][C]83[/C][C]0.898762[/C][C]0.202477[/C][C]0.101238[/C][/ROW]
[ROW][C]84[/C][C]0.883455[/C][C]0.23309[/C][C]0.116545[/C][/ROW]
[ROW][C]85[/C][C]0.863786[/C][C]0.272428[/C][C]0.136214[/C][/ROW]
[ROW][C]86[/C][C]0.848839[/C][C]0.302322[/C][C]0.151161[/C][/ROW]
[ROW][C]87[/C][C]0.82439[/C][C]0.351221[/C][C]0.17561[/C][/ROW]
[ROW][C]88[/C][C]0.797386[/C][C]0.405228[/C][C]0.202614[/C][/ROW]
[ROW][C]89[/C][C]0.876289[/C][C]0.247422[/C][C]0.123711[/C][/ROW]
[ROW][C]90[/C][C]0.894084[/C][C]0.211831[/C][C]0.105916[/C][/ROW]
[ROW][C]91[/C][C]0.875197[/C][C]0.249607[/C][C]0.124803[/C][/ROW]
[ROW][C]92[/C][C]0.85512[/C][C]0.28976[/C][C]0.14488[/C][/ROW]
[ROW][C]93[/C][C]0.836957[/C][C]0.326086[/C][C]0.163043[/C][/ROW]
[ROW][C]94[/C][C]0.813422[/C][C]0.373155[/C][C]0.186578[/C][/ROW]
[ROW][C]95[/C][C]0.792525[/C][C]0.41495[/C][C]0.207475[/C][/ROW]
[ROW][C]96[/C][C]0.773043[/C][C]0.453914[/C][C]0.226957[/C][/ROW]
[ROW][C]97[/C][C]0.746213[/C][C]0.507574[/C][C]0.253787[/C][/ROW]
[ROW][C]98[/C][C]0.756885[/C][C]0.486231[/C][C]0.243115[/C][/ROW]
[ROW][C]99[/C][C]0.726986[/C][C]0.546027[/C][C]0.273014[/C][/ROW]
[ROW][C]100[/C][C]0.721181[/C][C]0.557638[/C][C]0.278819[/C][/ROW]
[ROW][C]101[/C][C]0.701941[/C][C]0.596117[/C][C]0.298059[/C][/ROW]
[ROW][C]102[/C][C]0.67008[/C][C]0.65984[/C][C]0.32992[/C][/ROW]
[ROW][C]103[/C][C]0.721176[/C][C]0.557648[/C][C]0.278824[/C][/ROW]
[ROW][C]104[/C][C]0.709469[/C][C]0.581062[/C][C]0.290531[/C][/ROW]
[ROW][C]105[/C][C]0.73233[/C][C]0.535341[/C][C]0.26767[/C][/ROW]
[ROW][C]106[/C][C]0.715741[/C][C]0.568519[/C][C]0.284259[/C][/ROW]
[ROW][C]107[/C][C]0.707773[/C][C]0.584455[/C][C]0.292227[/C][/ROW]
[ROW][C]108[/C][C]0.745728[/C][C]0.508544[/C][C]0.254272[/C][/ROW]
[ROW][C]109[/C][C]0.71852[/C][C]0.562961[/C][C]0.28148[/C][/ROW]
[ROW][C]110[/C][C]0.703031[/C][C]0.593938[/C][C]0.296969[/C][/ROW]
[ROW][C]111[/C][C]0.693915[/C][C]0.61217[/C][C]0.306085[/C][/ROW]
[ROW][C]112[/C][C]0.70166[/C][C]0.59668[/C][C]0.29834[/C][/ROW]
[ROW][C]113[/C][C]0.679562[/C][C]0.640876[/C][C]0.320438[/C][/ROW]
[ROW][C]114[/C][C]0.731108[/C][C]0.537783[/C][C]0.268892[/C][/ROW]
[ROW][C]115[/C][C]0.705116[/C][C]0.589767[/C][C]0.294884[/C][/ROW]
[ROW][C]116[/C][C]0.672889[/C][C]0.654222[/C][C]0.327111[/C][/ROW]
[ROW][C]117[/C][C]0.655521[/C][C]0.688958[/C][C]0.344479[/C][/ROW]
[ROW][C]118[/C][C]0.629396[/C][C]0.741208[/C][C]0.370604[/C][/ROW]
[ROW][C]119[/C][C]0.597206[/C][C]0.805588[/C][C]0.402794[/C][/ROW]
[ROW][C]120[/C][C]0.567446[/C][C]0.865108[/C][C]0.432554[/C][/ROW]
[ROW][C]121[/C][C]0.537842[/C][C]0.924316[/C][C]0.462158[/C][/ROW]
[ROW][C]122[/C][C]0.50725[/C][C]0.9855[/C][C]0.49275[/C][/ROW]
[ROW][C]123[/C][C]0.474672[/C][C]0.949344[/C][C]0.525328[/C][/ROW]
[ROW][C]124[/C][C]0.44076[/C][C]0.881519[/C][C]0.55924[/C][/ROW]
[ROW][C]125[/C][C]0.435088[/C][C]0.870176[/C][C]0.564912[/C][/ROW]
[ROW][C]126[/C][C]0.400082[/C][C]0.800163[/C][C]0.599918[/C][/ROW]
[ROW][C]127[/C][C]0.384679[/C][C]0.769358[/C][C]0.615321[/C][/ROW]
[ROW][C]128[/C][C]0.484225[/C][C]0.96845[/C][C]0.515775[/C][/ROW]
[ROW][C]129[/C][C]0.477129[/C][C]0.954259[/C][C]0.522871[/C][/ROW]
[ROW][C]130[/C][C]0.460708[/C][C]0.921416[/C][C]0.539292[/C][/ROW]
[ROW][C]131[/C][C]0.441949[/C][C]0.883898[/C][C]0.558051[/C][/ROW]
[ROW][C]132[/C][C]0.408253[/C][C]0.816506[/C][C]0.591747[/C][/ROW]
[ROW][C]133[/C][C]0.421219[/C][C]0.842438[/C][C]0.578781[/C][/ROW]
[ROW][C]134[/C][C]0.397508[/C][C]0.795016[/C][C]0.602492[/C][/ROW]
[ROW][C]135[/C][C]0.440798[/C][C]0.881596[/C][C]0.559202[/C][/ROW]
[ROW][C]136[/C][C]0.429964[/C][C]0.859928[/C][C]0.570036[/C][/ROW]
[ROW][C]137[/C][C]0.39935[/C][C]0.7987[/C][C]0.60065[/C][/ROW]
[ROW][C]138[/C][C]0.39743[/C][C]0.79486[/C][C]0.60257[/C][/ROW]
[ROW][C]139[/C][C]0.366267[/C][C]0.732534[/C][C]0.633733[/C][/ROW]
[ROW][C]140[/C][C]0.342592[/C][C]0.685184[/C][C]0.657408[/C][/ROW]
[ROW][C]141[/C][C]0.316651[/C][C]0.633302[/C][C]0.683349[/C][/ROW]
[ROW][C]142[/C][C]0.344205[/C][C]0.688411[/C][C]0.655795[/C][/ROW]
[ROW][C]143[/C][C]0.312039[/C][C]0.624077[/C][C]0.687961[/C][/ROW]
[ROW][C]144[/C][C]0.290613[/C][C]0.581227[/C][C]0.709387[/C][/ROW]
[ROW][C]145[/C][C]0.285054[/C][C]0.570108[/C][C]0.714946[/C][/ROW]
[ROW][C]146[/C][C]0.279316[/C][C]0.558632[/C][C]0.720684[/C][/ROW]
[ROW][C]147[/C][C]0.28768[/C][C]0.57536[/C][C]0.71232[/C][/ROW]
[ROW][C]148[/C][C]0.305542[/C][C]0.611085[/C][C]0.694458[/C][/ROW]
[ROW][C]149[/C][C]0.310662[/C][C]0.621325[/C][C]0.689338[/C][/ROW]
[ROW][C]150[/C][C]0.298334[/C][C]0.596668[/C][C]0.701666[/C][/ROW]
[ROW][C]151[/C][C]0.272646[/C][C]0.545292[/C][C]0.727354[/C][/ROW]
[ROW][C]152[/C][C]0.242911[/C][C]0.485822[/C][C]0.757089[/C][/ROW]
[ROW][C]153[/C][C]0.246662[/C][C]0.493323[/C][C]0.753338[/C][/ROW]
[ROW][C]154[/C][C]0.250583[/C][C]0.501165[/C][C]0.749417[/C][/ROW]
[ROW][C]155[/C][C]0.238338[/C][C]0.476676[/C][C]0.761662[/C][/ROW]
[ROW][C]156[/C][C]0.210398[/C][C]0.420797[/C][C]0.789602[/C][/ROW]
[ROW][C]157[/C][C]0.191075[/C][C]0.382151[/C][C]0.808925[/C][/ROW]
[ROW][C]158[/C][C]0.336666[/C][C]0.673331[/C][C]0.663334[/C][/ROW]
[ROW][C]159[/C][C]0.341944[/C][C]0.683888[/C][C]0.658056[/C][/ROW]
[ROW][C]160[/C][C]0.311312[/C][C]0.622624[/C][C]0.688688[/C][/ROW]
[ROW][C]161[/C][C]0.285376[/C][C]0.570752[/C][C]0.714624[/C][/ROW]
[ROW][C]162[/C][C]0.254585[/C][C]0.509169[/C][C]0.745415[/C][/ROW]
[ROW][C]163[/C][C]0.23062[/C][C]0.46124[/C][C]0.76938[/C][/ROW]
[ROW][C]164[/C][C]0.352908[/C][C]0.705816[/C][C]0.647092[/C][/ROW]
[ROW][C]165[/C][C]0.338953[/C][C]0.677905[/C][C]0.661047[/C][/ROW]
[ROW][C]166[/C][C]0.3301[/C][C]0.660199[/C][C]0.6699[/C][/ROW]
[ROW][C]167[/C][C]0.296021[/C][C]0.592041[/C][C]0.703979[/C][/ROW]
[ROW][C]168[/C][C]0.266638[/C][C]0.533275[/C][C]0.733362[/C][/ROW]
[ROW][C]169[/C][C]0.313691[/C][C]0.627382[/C][C]0.686309[/C][/ROW]
[ROW][C]170[/C][C]0.32156[/C][C]0.64312[/C][C]0.67844[/C][/ROW]
[ROW][C]171[/C][C]0.288489[/C][C]0.576977[/C][C]0.711511[/C][/ROW]
[ROW][C]172[/C][C]0.282204[/C][C]0.564409[/C][C]0.717796[/C][/ROW]
[ROW][C]173[/C][C]0.450044[/C][C]0.900088[/C][C]0.549956[/C][/ROW]
[ROW][C]174[/C][C]0.413511[/C][C]0.827023[/C][C]0.586489[/C][/ROW]
[ROW][C]175[/C][C]0.438666[/C][C]0.877332[/C][C]0.561334[/C][/ROW]
[ROW][C]176[/C][C]0.456889[/C][C]0.913777[/C][C]0.543111[/C][/ROW]
[ROW][C]177[/C][C]0.492245[/C][C]0.98449[/C][C]0.507755[/C][/ROW]
[ROW][C]178[/C][C]0.45563[/C][C]0.911259[/C][C]0.54437[/C][/ROW]
[ROW][C]179[/C][C]0.4271[/C][C]0.8542[/C][C]0.5729[/C][/ROW]
[ROW][C]180[/C][C]0.415079[/C][C]0.830158[/C][C]0.584921[/C][/ROW]
[ROW][C]181[/C][C]0.380136[/C][C]0.760272[/C][C]0.619864[/C][/ROW]
[ROW][C]182[/C][C]0.358912[/C][C]0.717824[/C][C]0.641088[/C][/ROW]
[ROW][C]183[/C][C]0.321564[/C][C]0.643129[/C][C]0.678436[/C][/ROW]
[ROW][C]184[/C][C]0.291209[/C][C]0.582417[/C][C]0.708791[/C][/ROW]
[ROW][C]185[/C][C]0.303094[/C][C]0.606189[/C][C]0.696906[/C][/ROW]
[ROW][C]186[/C][C]0.275802[/C][C]0.551603[/C][C]0.724198[/C][/ROW]
[ROW][C]187[/C][C]0.246236[/C][C]0.492471[/C][C]0.753764[/C][/ROW]
[ROW][C]188[/C][C]0.218736[/C][C]0.437473[/C][C]0.781264[/C][/ROW]
[ROW][C]189[/C][C]0.192037[/C][C]0.384073[/C][C]0.807963[/C][/ROW]
[ROW][C]190[/C][C]0.170989[/C][C]0.341978[/C][C]0.829011[/C][/ROW]
[ROW][C]191[/C][C]0.187744[/C][C]0.375489[/C][C]0.812256[/C][/ROW]
[ROW][C]192[/C][C]0.167028[/C][C]0.334056[/C][C]0.832972[/C][/ROW]
[ROW][C]193[/C][C]0.180946[/C][C]0.361893[/C][C]0.819054[/C][/ROW]
[ROW][C]194[/C][C]0.161823[/C][C]0.323646[/C][C]0.838177[/C][/ROW]
[ROW][C]195[/C][C]0.159787[/C][C]0.319575[/C][C]0.840213[/C][/ROW]
[ROW][C]196[/C][C]0.164282[/C][C]0.328565[/C][C]0.835718[/C][/ROW]
[ROW][C]197[/C][C]0.191619[/C][C]0.383237[/C][C]0.808381[/C][/ROW]
[ROW][C]198[/C][C]0.163577[/C][C]0.327155[/C][C]0.836423[/C][/ROW]
[ROW][C]199[/C][C]0.180862[/C][C]0.361724[/C][C]0.819138[/C][/ROW]
[ROW][C]200[/C][C]0.156766[/C][C]0.313532[/C][C]0.843234[/C][/ROW]
[ROW][C]201[/C][C]0.184868[/C][C]0.369736[/C][C]0.815132[/C][/ROW]
[ROW][C]202[/C][C]0.165689[/C][C]0.331379[/C][C]0.834311[/C][/ROW]
[ROW][C]203[/C][C]0.188835[/C][C]0.37767[/C][C]0.811165[/C][/ROW]
[ROW][C]204[/C][C]0.159404[/C][C]0.318807[/C][C]0.840596[/C][/ROW]
[ROW][C]205[/C][C]0.135016[/C][C]0.270031[/C][C]0.864984[/C][/ROW]
[ROW][C]206[/C][C]0.135448[/C][C]0.270895[/C][C]0.864552[/C][/ROW]
[ROW][C]207[/C][C]0.112073[/C][C]0.224146[/C][C]0.887927[/C][/ROW]
[ROW][C]208[/C][C]0.132035[/C][C]0.26407[/C][C]0.867965[/C][/ROW]
[ROW][C]209[/C][C]0.112241[/C][C]0.224482[/C][C]0.887759[/C][/ROW]
[ROW][C]210[/C][C]0.0986221[/C][C]0.197244[/C][C]0.901378[/C][/ROW]
[ROW][C]211[/C][C]0.109583[/C][C]0.219167[/C][C]0.890417[/C][/ROW]
[ROW][C]212[/C][C]0.095975[/C][C]0.19195[/C][C]0.904025[/C][/ROW]
[ROW][C]213[/C][C]0.0782731[/C][C]0.156546[/C][C]0.921727[/C][/ROW]
[ROW][C]214[/C][C]0.135128[/C][C]0.270256[/C][C]0.864872[/C][/ROW]
[ROW][C]215[/C][C]0.120317[/C][C]0.240633[/C][C]0.879683[/C][/ROW]
[ROW][C]216[/C][C]0.117527[/C][C]0.235053[/C][C]0.882473[/C][/ROW]
[ROW][C]217[/C][C]0.132045[/C][C]0.264091[/C][C]0.867955[/C][/ROW]
[ROW][C]218[/C][C]0.116899[/C][C]0.233798[/C][C]0.883101[/C][/ROW]
[ROW][C]219[/C][C]0.117036[/C][C]0.234072[/C][C]0.882964[/C][/ROW]
[ROW][C]220[/C][C]0.116117[/C][C]0.232234[/C][C]0.883883[/C][/ROW]
[ROW][C]221[/C][C]0.121426[/C][C]0.242851[/C][C]0.878574[/C][/ROW]
[ROW][C]222[/C][C]0.119031[/C][C]0.238061[/C][C]0.880969[/C][/ROW]
[ROW][C]223[/C][C]0.142187[/C][C]0.284374[/C][C]0.857813[/C][/ROW]
[ROW][C]224[/C][C]0.114921[/C][C]0.229843[/C][C]0.885079[/C][/ROW]
[ROW][C]225[/C][C]0.111793[/C][C]0.223587[/C][C]0.888207[/C][/ROW]
[ROW][C]226[/C][C]0.101107[/C][C]0.202215[/C][C]0.898893[/C][/ROW]
[ROW][C]227[/C][C]0.393228[/C][C]0.786455[/C][C]0.606772[/C][/ROW]
[ROW][C]228[/C][C]0.367735[/C][C]0.73547[/C][C]0.632265[/C][/ROW]
[ROW][C]229[/C][C]0.32668[/C][C]0.65336[/C][C]0.67332[/C][/ROW]
[ROW][C]230[/C][C]0.27634[/C][C]0.55268[/C][C]0.72366[/C][/ROW]
[ROW][C]231[/C][C]0.22337[/C][C]0.446739[/C][C]0.77663[/C][/ROW]
[ROW][C]232[/C][C]0.222751[/C][C]0.445503[/C][C]0.777249[/C][/ROW]
[ROW][C]233[/C][C]0.182006[/C][C]0.364013[/C][C]0.817994[/C][/ROW]
[ROW][C]234[/C][C]0.154153[/C][C]0.308305[/C][C]0.845847[/C][/ROW]
[ROW][C]235[/C][C]0.121176[/C][C]0.242351[/C][C]0.878824[/C][/ROW]
[ROW][C]236[/C][C]0.102849[/C][C]0.205698[/C][C]0.897151[/C][/ROW]
[ROW][C]237[/C][C]0.0878719[/C][C]0.175744[/C][C]0.912128[/C][/ROW]
[ROW][C]238[/C][C]0.0597908[/C][C]0.119582[/C][C]0.940209[/C][/ROW]
[ROW][C]239[/C][C]0.122539[/C][C]0.245079[/C][C]0.877461[/C][/ROW]
[ROW][C]240[/C][C]0.0952828[/C][C]0.190566[/C][C]0.904717[/C][/ROW]
[ROW][C]241[/C][C]0.0671416[/C][C]0.134283[/C][C]0.932858[/C][/ROW]
[ROW][C]242[/C][C]0.0441556[/C][C]0.0883112[/C][C]0.955844[/C][/ROW]
[ROW][C]243[/C][C]0.0244761[/C][C]0.0489523[/C][C]0.975524[/C][/ROW]
[ROW][C]244[/C][C]0.0121162[/C][C]0.0242323[/C][C]0.987884[/C][/ROW]
[ROW][C]245[/C][C]0.0693608[/C][C]0.138722[/C][C]0.930639[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=226632&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=226632&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
190.5666750.8666490.433325
200.747420.505160.25258
210.9139090.1721830.0860913
220.8792990.2414010.120701
230.8402820.3194360.159718
240.9397290.1205420.0602708
250.9597610.08047780.0402389
260.9996510.0006987710.000349386
270.9993530.001293720.000646861
280.9989380.002124120.00106206
290.9981620.0036770.0018385
300.9997080.000583490.000291745
310.9995240.0009521370.000476068
320.9991990.001601590.000800797
330.9987420.002515480.00125774
340.9981610.003678370.00183919
350.997120.005759790.0028799
360.9955340.008932710.00446636
370.9938420.01231690.00615847
380.9916560.01668770.00834383
390.9903160.01936850.00968426
400.988560.02287970.0114399
410.9867770.02644630.0132232
420.9831650.03366920.0168346
430.9765170.04696650.0234832
440.9759840.04803210.024016
450.9705840.05883110.0294155
460.9710670.05786630.0289331
470.9619170.07616640.0380832
480.9505330.09893360.0494668
490.9713860.0572290.0286145
500.9652350.069530.034765
510.9556170.0887650.0443825
520.946710.106580.0532901
530.9460170.1079660.0539832
540.9542770.09144610.045723
550.9483070.1033870.0516934
560.9402730.1194550.0597275
570.9301110.1397780.0698891
580.9151160.1697690.0848843
590.9285510.1428990.0714493
600.927430.1451410.0725703
610.9368070.1263860.063193
620.9256160.1487680.074384
630.9493380.1013230.0506615
640.939180.121640.0608201
650.9265230.1469550.0734774
660.9787180.04256410.0212821
670.9771470.04570680.0228534
680.9796260.04074710.0203736
690.9757570.0484860.024243
700.9731460.05370720.0268536
710.9666020.06679530.0333977
720.9717270.05654630.0282732
730.9656320.0687360.034368
740.9570120.08597620.0429881
750.9505680.09886340.0494317
760.939110.121780.0608898
770.9420040.1159930.0579963
780.929980.1400390.0700197
790.925450.1491010.0745503
800.9293730.1412540.0706269
810.9200650.1598710.0799354
820.9044070.1911850.0955926
830.8987620.2024770.101238
840.8834550.233090.116545
850.8637860.2724280.136214
860.8488390.3023220.151161
870.824390.3512210.17561
880.7973860.4052280.202614
890.8762890.2474220.123711
900.8940840.2118310.105916
910.8751970.2496070.124803
920.855120.289760.14488
930.8369570.3260860.163043
940.8134220.3731550.186578
950.7925250.414950.207475
960.7730430.4539140.226957
970.7462130.5075740.253787
980.7568850.4862310.243115
990.7269860.5460270.273014
1000.7211810.5576380.278819
1010.7019410.5961170.298059
1020.670080.659840.32992
1030.7211760.5576480.278824
1040.7094690.5810620.290531
1050.732330.5353410.26767
1060.7157410.5685190.284259
1070.7077730.5844550.292227
1080.7457280.5085440.254272
1090.718520.5629610.28148
1100.7030310.5939380.296969
1110.6939150.612170.306085
1120.701660.596680.29834
1130.6795620.6408760.320438
1140.7311080.5377830.268892
1150.7051160.5897670.294884
1160.6728890.6542220.327111
1170.6555210.6889580.344479
1180.6293960.7412080.370604
1190.5972060.8055880.402794
1200.5674460.8651080.432554
1210.5378420.9243160.462158
1220.507250.98550.49275
1230.4746720.9493440.525328
1240.440760.8815190.55924
1250.4350880.8701760.564912
1260.4000820.8001630.599918
1270.3846790.7693580.615321
1280.4842250.968450.515775
1290.4771290.9542590.522871
1300.4607080.9214160.539292
1310.4419490.8838980.558051
1320.4082530.8165060.591747
1330.4212190.8424380.578781
1340.3975080.7950160.602492
1350.4407980.8815960.559202
1360.4299640.8599280.570036
1370.399350.79870.60065
1380.397430.794860.60257
1390.3662670.7325340.633733
1400.3425920.6851840.657408
1410.3166510.6333020.683349
1420.3442050.6884110.655795
1430.3120390.6240770.687961
1440.2906130.5812270.709387
1450.2850540.5701080.714946
1460.2793160.5586320.720684
1470.287680.575360.71232
1480.3055420.6110850.694458
1490.3106620.6213250.689338
1500.2983340.5966680.701666
1510.2726460.5452920.727354
1520.2429110.4858220.757089
1530.2466620.4933230.753338
1540.2505830.5011650.749417
1550.2383380.4766760.761662
1560.2103980.4207970.789602
1570.1910750.3821510.808925
1580.3366660.6733310.663334
1590.3419440.6838880.658056
1600.3113120.6226240.688688
1610.2853760.5707520.714624
1620.2545850.5091690.745415
1630.230620.461240.76938
1640.3529080.7058160.647092
1650.3389530.6779050.661047
1660.33010.6601990.6699
1670.2960210.5920410.703979
1680.2666380.5332750.733362
1690.3136910.6273820.686309
1700.321560.643120.67844
1710.2884890.5769770.711511
1720.2822040.5644090.717796
1730.4500440.9000880.549956
1740.4135110.8270230.586489
1750.4386660.8773320.561334
1760.4568890.9137770.543111
1770.4922450.984490.507755
1780.455630.9112590.54437
1790.42710.85420.5729
1800.4150790.8301580.584921
1810.3801360.7602720.619864
1820.3589120.7178240.641088
1830.3215640.6431290.678436
1840.2912090.5824170.708791
1850.3030940.6061890.696906
1860.2758020.5516030.724198
1870.2462360.4924710.753764
1880.2187360.4374730.781264
1890.1920370.3840730.807963
1900.1709890.3419780.829011
1910.1877440.3754890.812256
1920.1670280.3340560.832972
1930.1809460.3618930.819054
1940.1618230.3236460.838177
1950.1597870.3195750.840213
1960.1642820.3285650.835718
1970.1916190.3832370.808381
1980.1635770.3271550.836423
1990.1808620.3617240.819138
2000.1567660.3135320.843234
2010.1848680.3697360.815132
2020.1656890.3313790.834311
2030.1888350.377670.811165
2040.1594040.3188070.840596
2050.1350160.2700310.864984
2060.1354480.2708950.864552
2070.1120730.2241460.887927
2080.1320350.264070.867965
2090.1122410.2244820.887759
2100.09862210.1972440.901378
2110.1095830.2191670.890417
2120.0959750.191950.904025
2130.07827310.1565460.921727
2140.1351280.2702560.864872
2150.1203170.2406330.879683
2160.1175270.2350530.882473
2170.1320450.2640910.867955
2180.1168990.2337980.883101
2190.1170360.2340720.882964
2200.1161170.2322340.883883
2210.1214260.2428510.878574
2220.1190310.2380610.880969
2230.1421870.2843740.857813
2240.1149210.2298430.885079
2250.1117930.2235870.888207
2260.1011070.2022150.898893
2270.3932280.7864550.606772
2280.3677350.735470.632265
2290.326680.653360.67332
2300.276340.552680.72366
2310.223370.4467390.77663
2320.2227510.4455030.777249
2330.1820060.3640130.817994
2340.1541530.3083050.845847
2350.1211760.2423510.878824
2360.1028490.2056980.897151
2370.08787190.1757440.912128
2380.05979080.1195820.940209
2390.1225390.2450790.877461
2400.09528280.1905660.904717
2410.06714160.1342830.932858
2420.04415560.08831120.955844
2430.02447610.04895230.975524
2440.01211620.02423230.987884
2450.06936080.1387220.930639






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level110.0484581NOK
5% type I error level250.110132NOK
10% type I error level410.180617NOK

\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 & 11 & 0.0484581 & NOK \tabularnewline
5% type I error level & 25 & 0.110132 & NOK \tabularnewline
10% type I error level & 41 & 0.180617 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=226632&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]11[/C][C]0.0484581[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]25[/C][C]0.110132[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]41[/C][C]0.180617[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=226632&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=226632&T=6

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


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 level110.0484581NOK
5% type I error level250.110132NOK
10% type I error level410.180617NOK


Figures (Output of Computation)

Figure 1
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 2
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 3
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 4
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 5
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 6
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 7
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 8
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 9
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 10
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Input Parameters & R Code

Parameters (Session):
par1 = 1 ; par2 = Include Monthly Dummies ; par3 = No Linear Trend ;
Parameters (R input):
par1 = 1 ; par2 = Include Monthly 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')
}