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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationThu, 11 Dec 2014 10:22:05 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Dec/11/t1418293406ekb0bjk5yr4t8ii.htm/, Retrieved Thu, 16 May 2024 13:29:51 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=265669, Retrieved Thu, 16 May 2024 13:29:51 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact109

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Multiple Regression] [nickske en willy] [2014-12-11 10:22:05] [52f27f122f36bfdf20d2404cd2faf7fa] [Current]
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Dataset

Dataseries X:
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Histogram
Boxplots 
7.5 11 8 7 18 12 20 4
6 19 18 20 23 20 19 4
6.5 16 12 9 22 14 18 5
1 24 24 19 22 25 24 4
1 15 16 12 19 15 20 4
5.5 17 19 16 25 20 20 9
8.5 19 16 17 28 21 24 8
6.5 19 15 9 16 15 21 11
4.5 28 28 28 28 28 28 4
2 26 21 20 21 11 10 4
5 15 18 16 22 22 22 6
0.5 26 22 22 24 22 19 4
5 16 19 17 24 27 27 8
5 24 22 12 26 24 23 4
2.5 25 25 18 28 23 24 4
5 22 20 20 24 24 24 11
5.5 15 16 12 20 21 25 4
3.5 21 19 16 26 20 24 4
3 22 18 16 21 19 21 6
4 27 26 21 28 25 28 6
0.5 26 24 15 27 16 28 4
6.5 26 20 17 23 24 22 8
4.5 22 19 17 24 21 26 5
7.5 21 19 17 24 22 26 4
5.5 22 23 18 22 25 21 9
4 20 18 15 21 23 26 4
7.5 21 16 20 25 20 23 7
7 20 18 13 20 21 20 10
4 22 21 21 21 22 24 4
5.5 21 20 12 26 25 25 4
2.5 8 15 6 23 23 24 7
5.5 22 19 13 21 19 20 12
3.5 20 19 19 27 21 24 7
2.5 24 7 12 25 19 25 5
4.5 17 20 14 23 25 23 8
4.5 20 20 13 25 16 21 5
4.5 23 19 12 23 24 23 4
6 20 19 17 19 24 21 9
2.5 22 20 19 22 18 18 7
5 19 18 10 24 28 24 4
0 15 14 10 19 15 18 4
5 20 17 11 21 17 21 4
6.5 22 17 11 27 18 23 4
5 17 8 10 25 26 25 4
6 14 9 7 25 18 22 7
4.5 24 22 22 23 22 22 4
5.5 17 20 12 17 19 23 7
1 23 20 18 28 17 24 4
7.5 25 22 20 25 26 25 4
6 16 22 9 20 21 22 4
5 18 22 16 25 26 24 4
1 20 16 14 21 21 21 8
5 18 14 11 24 12 24 4
6.5 23 24 20 28 20 25 4
7 24 21 17 20 20 23 4
4.5 23 20 14 19 24 27 4
0 13 20 8 24 24 27 7
8.5 20 18 16 21 22 23 12
3.5 20 14 11 24 21 18 4
7.5 19 19 10 23 20 20 4
3.5 22 24 15 18 23 23 4
6 22 19 15 27 19 24 5
1.5 15 16 10 25 24 26 15
9 17 16 10 20 21 20 5
3.5 19 16 18 21 16 23 10
3.5 20 14 10 23 17 22 9
4 22 22 22 27 23 23 8
6.5 21 21 16 24 20 17 4
7.5 21 15 10 27 19 20 5
6 16 14 7 24 18 22 4
5 20 15 16 23 18 18 9
5.5 21 14 16 24 21 19 4
3.5 20 20 16 21 20 19 10
7.5 23 21 22 23 17 16 4
6.5 18 14 5 27 25 26 4
6.5 16 16 10 25 17 25 7
6.5 17 13 8 19 17 23 5
7 24 26 16 24 24 18 4
3.5 13 13 8 25 21 22 4
1.5 19 18 16 23 22 26 4
4 20 15 14 23 18 25 4
7.5 22 18 15 25 22 26 4
4.5 19 21 9 26 20 26 4
0 21 17 21 26 21 24 6
3.5 15 18 7 16 21 22 10
5.5 21 20 17 23 20 21 7
5 24 18 18 26 18 22 4
4.5 22 25 16 25 25 28 4
2.5 20 20 16 23 23 22 7
7.5 21 19 14 26 21 26 4
7 19 18 15 22 20 20 8
0 14 12 8 20 21 24 11
4.5 25 22 22 27 20 21 6
3 11 16 5 20 22 23 14
1.5 17 18 13 22 15 23 5
3.5 22 23 22 24 24 23 4
2.5 20 20 18 21 22 22 8
5.5 22 20 15 24 21 23 9
8 15 16 11 26 17 21 4
1 23 22 19 24 23 27 4
5 20 19 19 24 22 23 5
4.5 22 23 21 27 23 26 4
3 16 6 4 25 16 27 5
3 25 19 17 27 18 27 4
8 18 24 10 19 25 23 4
2.5 19 19 13 22 18 23 7
7 25 15 15 22 14 23 10
0 21 18 11 25 20 28 4
1 22 18 20 23 19 24 5
3.5 21 22 13 24 18 20 4
5.5 22 23 18 24 22 23 4
5.5 23 18 20 23 21 22 4
0.5 20 17 15 22 14 15 6
7.5 6 6 4 24 5 27 4
9 15 22 9 19 25 23 8
9.5 18 20 18 25 21 23 5
8.5 24 16 12 26 11 20 4
7 22 16 17 18 20 18 17
8 21 17 12 24 9 22 4
10 23 20 16 28 15 20 4
7 20 23 17 23 23 21 8
8.5 20 18 14 19 21 25 4
9 18 13 13 19 9 19 7
9.5 25 22 20 27 24 25 4
4 16 20 16 24 16 24 4
6 20 20 15 26 20 22 5
8 14 13 10 21 15 28 7
5.5 22 16 16 25 18 22 4
9.5 26 25 21 28 22 21 4
7.5 20 16 15 19 21 23 7
7 17 15 16 20 21 19 11
7.5 22 19 19 26 21 21 7
8 22 19 9 27 20 25 4
7 20 24 19 23 24 23 4
7 17 9 7 18 15 28 4
6 22 22 23 23 24 14 4
10 17 15 14 21 18 23 4
2.5 22 22 10 23 24 24 4
9 21 22 16 22 24 25 6
8 25 24 12 21 15 15 8
6 11 12 10 14 19 23 23
8.5 19 21 7 24 20 26 4
6 24 25 20 26 26 21 8
9 17 26 9 24 26 26 6
8 22 19 14 26 18 15 4
9 17 14 10 20 13 15 7
5.5 26 28 19 20 16 16 4
5 19 16 16 20 19 20 4
5.5 19 16 15 18 21 20 4
9 21 16 14 25 11 21 10
2 24 25 11 28 23 28 6
8.5 21 21 14 23 18 19 5
9 19 22 15 20 19 21 5
8.5 13 9 7 22 15 22 4
9 24 20 22 27 8 27 4
7.5 28 19 19 24 15 20 5
10 27 24 22 23 21 17 5
9 22 22 11 20 25 26 5
7.5 23 22 19 22 14 21 5
6 19 12 9 21 21 24 4
10.5 18 17 11 24 18 21 6
8.5 23 18 17 26 18 25 4
8 21 10 12 24 12 22 4
10 22 22 17 18 24 17 4
10.5 17 24 10 17 17 14 9
6.5 15 18 17 23 20 23 18
9.5 21 18 13 21 24 28 6
8.5 20 23 11 21 22 24 5
7.5 26 21 19 24 15 22 4
5 19 21 21 22 22 24 11
8 28 28 24 24 26 25 4
10 21 17 13 24 17 21 10
7 19 21 16 24 23 22 6
7.5 22 21 13 23 19 16 8
7.5 21 20 15 21 21 18 8
9.5 20 18 15 24 23 27 6
6 19 17 11 19 19 17 8
10 11 7 7 19 18 25 4
7 17 17 13 23 16 24 4
3 19 14 13 25 23 21 9
6 20 18 12 24 13 21 9
7 17 14 8 21 18 19 5
10 21 23 7 18 23 27 4
7 21 20 17 23 21 28 4
3.5 12 14 9 20 23 19 15
8 23 17 18 23 16 23 10
10 22 21 17 23 17 25 9
5.5 22 23 17 23 20 26 7
6 21 24 18 23 18 25 9
6.5 20 21 12 27 20 25 6
6.5 18 14 14 19 19 24 4
8.5 21 24 22 25 26 24 7
4 24 16 19 25 9 24 4
9.5 22 21 21 21 23 22 7
8 20 8 10 25 9 21 4
8.5 17 17 16 17 13 17 15
5.5 19 18 11 22 27 23 4
7 16 17 15 23 22 17 9
9 19 16 12 27 12 25 4
8 23 22 21 27 18 19 4
10 8 17 22 5 6 8 28
8 22 21 20 19 17 14 4
6 23 20 15 24 22 22 4
8 15 20 9 23 22 25 4
5 17 19 15 28 23 28 5
9 21 8 14 25 19 25 4
4.5 25 19 11 27 20 24 4
8.5 18 11 9 16 17 15 12
7 23 15 18 23 18 25 5
8.5 21 18 11 26 20 28 6
7.5 21 19 14 24 18 24 6
7.5 24 23 10 23 23 25 5
5 22 20 18 24 27 23 4
7 22 22 11 27 25 26 4
8 23 19 14 25 24 26 4
5.5 17 16 16 19 12 22 10
8.5 15 11 11 19 16 25 7
7.5 24 11 8 14 16 20 4
7 19 14 13 20 23 26 7
8 18 21 12 21 24 20 4
8.5 21 20 17 28 24 26 4
3.5 20 21 23 26 26 26 12
6.5 19 20 14 19 19 21 5
6.5 19 19 10 23 28 21 8
10.5 16 19 16 23 23 24 6
8.5 18 18 11 21 21 21 17
8 23 20 16 26 19 18 4
10 22 21 19 25 23 23 5
10 23 22 17 25 23 26 4
9.5 20 19 12 24 20 23 5
9 24 23 17 23 18 25 5
10 25 16 11 22 20 20 6
7.5 25 23 19 27 28 25 4
4.5 20 18 12 26 21 26 4
4.5 23 23 8 23 25 19 4
0.5 21 20 17 22 18 21 6
6.5 23 20 13 26 24 23 8
4.5 23 23 17 22 28 24 10
5.5 11 13 7 17 9 6 4
5 21 21 23 25 22 22 5
6 27 26 18 22 26 21 4
4 19 18 13 28 28 28 4
8 21 19 17 22 18 24 4
10.5 16 18 13 21 23 14 16
8.5 22 19 13 21 22 17 4
8 22 19 16 26 24 28 4
8.5 16 13 14 26 12 19 4
5.5 18 10 13 24 12 24 14
7 23 21 19 27 20 21 5
5 24 24 15 22 25 21 5
3.5 20 21 15 23 24 26 5
5 20 23 8 22 23 24 5
9 18 18 14 23 18 26 7
8.5 4 11 7 15 20 25 19
5 14 16 11 20 22 23 16
9.5 22 20 17 22 20 24 4
3 17 20 19 25 25 24 4
1.5 23 26 17 27 28 26 7
6 20 21 12 24 25 23 9
0.5 18 12 12 21 14 20 5
6.5 19 15 18 17 16 16 14
7.5 20 18 16 26 24 24 4
4.5 15 14 15 20 13 20 16
8 24 18 20 22 19 23 10
9 21 16 16 24 18 23 5
7.5 19 19 12 23 16 18 6
8.5 19 7 10 22 8 21 4
7 27 21 28 28 27 25 4
9.5 23 24 19 21 23 23 4
6.5 23 21 18 24 20 26 5
9.5 20 20 19 28 20 26 4
6 17 22 8 25 26 24 4
8 21 17 17 24 23 23 5
9.5 23 19 16 24 24 21 4
8 22 20 18 21 21 23 4
8 16 16 12 20 15 20 5
9 20 20 17 26 22 23 8
5 16 16 13 16 25 24 15

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time9 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 9 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265669&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]9 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265669&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265669&T=0

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


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time9 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net






Multiple Linear Regression - Estimated Regression Equation
AMS.A[t] = + 20.0797 -0.00453532Ex[t] -0.377293AMS.I1[t] -0.0382167AMS.I2[t] + 0.230567AMS.I3[t] -0.366537AMS.E1[t] + 0.0580378AMS.E2[t] -0.0728846AMS.E3[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
AMS.A[t] =  +  20.0797 -0.00453532Ex[t] -0.377293AMS.I1[t] -0.0382167AMS.I2[t] +  0.230567AMS.I3[t] -0.366537AMS.E1[t] +  0.0580378AMS.E2[t] -0.0728846AMS.E3[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265669&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]AMS.A[t] =  +  20.0797 -0.00453532Ex[t] -0.377293AMS.I1[t] -0.0382167AMS.I2[t] +  0.230567AMS.I3[t] -0.366537AMS.E1[t] +  0.0580378AMS.E2[t] -0.0728846AMS.E3[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265669&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265669&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
AMS.A[t] = + 20.0797 -0.00453532Ex[t] -0.377293AMS.I1[t] -0.0382167AMS.I2[t] + 0.230567AMS.I3[t] -0.366537AMS.E1[t] + 0.0580378AMS.E2[t] -0.0728846AMS.E3[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)20.07971.6827111.931.20378e-266.0189e-27
Ex-0.004535320.0702766-0.064540.9485920.474296
AMS.I1-0.3772930.0667775-5.654.06806e-082.03403e-08
AMS.I2-0.03821670.0614676-0.62170.5346390.26732
AMS.I30.2305670.05193554.4391.31543e-056.57717e-06
AMS.E1-0.3665370.0685793-5.3451.92814e-079.64069e-08
AMS.E20.05803780.05096571.1390.2558120.127906
AMS.E3-0.07288460.059725-1.220.2234020.111701

\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) & 20.0797 & 1.68271 & 11.93 & 1.20378e-26 & 6.0189e-27 \tabularnewline
Ex & -0.00453532 & 0.0702766 & -0.06454 & 0.948592 & 0.474296 \tabularnewline
AMS.I1 & -0.377293 & 0.0667775 & -5.65 & 4.06806e-08 & 2.03403e-08 \tabularnewline
AMS.I2 & -0.0382167 & 0.0614676 & -0.6217 & 0.534639 & 0.26732 \tabularnewline
AMS.I3 & 0.230567 & 0.0519355 & 4.439 & 1.31543e-05 & 6.57717e-06 \tabularnewline
AMS.E1 & -0.366537 & 0.0685793 & -5.345 & 1.92814e-07 & 9.64069e-08 \tabularnewline
AMS.E2 & 0.0580378 & 0.0509657 & 1.139 & 0.255812 & 0.127906 \tabularnewline
AMS.E3 & -0.0728846 & 0.059725 & -1.22 & 0.223402 & 0.111701 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265669&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]20.0797[/C][C]1.68271[/C][C]11.93[/C][C]1.20378e-26[/C][C]6.0189e-27[/C][/ROW]
[ROW][C]Ex[/C][C]-0.00453532[/C][C]0.0702766[/C][C]-0.06454[/C][C]0.948592[/C][C]0.474296[/C][/ROW]
[ROW][C]AMS.I1[/C][C]-0.377293[/C][C]0.0667775[/C][C]-5.65[/C][C]4.06806e-08[/C][C]2.03403e-08[/C][/ROW]
[ROW][C]AMS.I2[/C][C]-0.0382167[/C][C]0.0614676[/C][C]-0.6217[/C][C]0.534639[/C][C]0.26732[/C][/ROW]
[ROW][C]AMS.I3[/C][C]0.230567[/C][C]0.0519355[/C][C]4.439[/C][C]1.31543e-05[/C][C]6.57717e-06[/C][/ROW]
[ROW][C]AMS.E1[/C][C]-0.366537[/C][C]0.0685793[/C][C]-5.345[/C][C]1.92814e-07[/C][C]9.64069e-08[/C][/ROW]
[ROW][C]AMS.E2[/C][C]0.0580378[/C][C]0.0509657[/C][C]1.139[/C][C]0.255812[/C][C]0.127906[/C][/ROW]
[ROW][C]AMS.E3[/C][C]-0.0728846[/C][C]0.059725[/C][C]-1.22[/C][C]0.223402[/C][C]0.111701[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265669&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265669&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)20.07971.6827111.931.20378e-266.0189e-27
Ex-0.004535320.0702766-0.064540.9485920.474296
AMS.I1-0.3772930.0667775-5.654.06806e-082.03403e-08
AMS.I2-0.03821670.0614676-0.62170.5346390.26732
AMS.I30.2305670.05193554.4391.31543e-056.57717e-06
AMS.E1-0.3665370.0685793-5.3451.92814e-079.64069e-08
AMS.E20.05803780.05096571.1390.2558120.127906
AMS.E3-0.07288460.059725-1.220.2234020.111701






Multiple Linear Regression - Regression Statistics
Multiple R0.561176
R-squared0.314918
Adjusted R-squared0.297157
F-TEST (value)17.7305
F-TEST (DF numerator)7
F-TEST (DF denominator)270
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.91043
Sum Squared Residuals2287.06

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.561176 \tabularnewline
R-squared & 0.314918 \tabularnewline
Adjusted R-squared & 0.297157 \tabularnewline
F-TEST (value) & 17.7305 \tabularnewline
F-TEST (DF numerator) & 7 \tabularnewline
F-TEST (DF denominator) & 270 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 2.91043 \tabularnewline
Sum Squared Residuals & 2287.06 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265669&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.561176[/C][/ROW]
[ROW][C]R-squared[/C][C]0.314918[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.297157[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]17.7305[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]7[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]270[/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]2.91043[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]2287.06[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265669&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265669&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 R0.561176
R-squared0.314918
Adjusted R-squared0.297157
F-TEST (value)17.7305
F-TEST (DF numerator)7
F-TEST (DF denominator)270
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.91043
Sum Squared Residuals2287.06






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
149.84478-5.84478
248.15295-4.15295
357.06681-2.06681
446.1216-2.1216
549.01977-5.01977
697.143361.85664
785.387272.61273
8117.858893.14111
944.20215-0.202146
1046.28209-2.28209
1169.00835-3.00835
1245.59465-1.59465
1388.01609-0.0160948
1443.114620.885383
1543.153420.84658
16116.450364.54964
1748.61662-4.61662
1844.98518-0.985181
1966.64168-0.641675
2062.870053.12995
2141.800452.19955
2284.7553.245
2355.47926-0.479264
2445.90099-1.90099
2596.882082.11792
2647.02889-3.02889
2776.443380.556618
28107.241912.75809
2947.63079-3.63079
3044.23293-0.232929
3179.01544-2.01544
32125.97336.0267
3375.745681.25432
3453.629781.37022
3587.453150.546849
3654.981060.0189405
3744.70844-0.708439
3898.598270.401731
3977.05329-0.0532905
4045.58515-1.58515
4148.78537-4.78537
4246.15649-2.15649
4343.108150.891849
4446.16641-2.16641
4576.318180.681817
4646.47898-2.47898
4778.83848-1.83848
4843.757660.242336
4944.90737-0.907369
5047.53472-3.53472
5146.71037-2.71037
5287.136710.863294
5345.41727-1.41727
5444.14222-0.142217
5546.26367-2.26367
5646.30597-2.30597
5776.883210.116787
58127.399664.60034
5945.62914-1.62914
6045.72937-1.72937
6147.36553-3.36553
6253.941411.05859
63156.442178.55783
6457.74945-2.74945
65107.988972.01103
6695.241423.75858
6785.754842.24516
6846.13841-2.13841
6953.603471.39653
7045.73905-1.73905
7196.929382.07062
7246.32273-2.32273
73107.521372.47863
7447.028-3.028
7543.536180.463822
7675.708821.29118
7757.33004-2.33004
7844.97245-0.972446
7946.95863-2.95863
8046.85697-2.85697
8145.96259-1.96259
8244.73424-0.73424
8343.899060.100943
8466.28836-0.288363
85109.081230.918773
8676.486730.513273
8744.37555-0.375545
8844.73924-0.739241
8976.748290.251713
9044.41817-0.418174
9187.289230.71077
92118.322342.67766
9364.592351.40765
94148.726975.27303
9557.09878-2.09878
9646.87654-2.87654
9787.884460.115541
9895.194033.80597
9946.23488-2.23488
10045.50752-1.50752
10156.96941-1.96941
10245.26513-1.26513
10354.519650.480347
10443.007580.992421
10547.451-3.451
10676.475560.524442
107104.573245.42676
10843.961430.0385663
10956.62129-1.62129
11045.08737-1.08737
11145.82912-1.82912
11246.48543-2.48543
11366.99583-0.995829
11448.00029-4.00029
11588.42421-0.424206
11657.01023-2.01023
11742.792211.20779
118178.306848.69316
11944.35936-0.359364
12043.431170.568826
12186.916681.08332
12247.46779-3.46779
12377.92148-0.921481
12444.04915-0.0491478
12547.33208-3.33208
12655.22812-0.228121
12777.70268-0.702676
12845.1097-1.1097
12943.59670.403302
13077.9251-0.925099
131119.253031.74697
13275.558141.44186
13342.534091.46591
13447.25187-3.25187
13547.13611-3.13611
13648.15648-4.15648
13747.9461-3.9461
13844.44613-0.446133
13966.471-0.471003
14084.540713.45929
1412312.044210.9558
14244.15286-0.152856
14385.101822.89818
14465.523450.476548
14544.66623-0.66623
14677.72601-0.726007
14745.98755-1.98755
14848.28034-4.28034
14948.89665-4.89665
150104.67665.3234
15161.627474.37253
15255.7729-0.772896
15357.72944-2.72944
15447.60964-3.60964
15543.89190.108098
15653.752121.24788
15755.55211-0.552108
15855.6591-0.659101
15956.12608-1.12608
16046.2727-2.2727
16165.844560.155439
16244.28774-0.287743
16344.80099-0.800994
16448.36897-4.36897
16598.741680.258315
166188.676619.32339
16766.07778-0.0777834
16855.98286-0.982856
16944.2845-0.2845
170118.391592.60841
17144.83273-0.83273
172105.118054.88195
17366.70042-0.700417
17485.446262.55374
17587.026290.973712
17665.831450.168554
17787.669940.33006
17849.48892-5.48892
17946.73067-2.73067
18096.000722.99928
18195.012553.98745
18256.90606-1.90606
18345.61549-1.61549
18446.02777-2.02777
185159.695695.30431
186105.68814.3119
18795.585163.41484
18875.630361.36964
18996.154552.84545
19063.910742.08926
19148.34113-4.34113
19276.869590.13041
19344.38551-0.385509
19477.80965-0.809649
19544.32582-0.325819
196159.950875.04913
19746.56137-2.56137
19898.427520.572483
19944.00348-0.00347837
20045.13018-1.13018
2012819.37138.62875
20248.55381-4.55381
20344.94539-0.945393
20446.71914-2.71914
20555.40648-0.406482
20645.1551-1.1551
20741.95212.0479
208128.933373.06663
20955.73938-0.739376
21063.556352.44365
21165.12290.877096
21253.499731.50027
21346.23623-2.23623
21443.102410.897589
21544.20197-0.201972
216108.847161.15284
21778.63988-1.63988
21846.75419-2.75419
21977.45084-0.450842
22047.45432-3.45432
22144.50816-0.508163
222127.102474.89753
22357.95319-2.95319
22486.125321.87468
22568.11362-2.11362
226177.089149.91086
22744.55124-0.55124
22855.80721-0.807213
22944.71192-0.711915
23055.21895-0.218952
23154.816710.183289
23264.166031.83397
23344.02159-0.0215857
23444.38615-0.386154
23543.982880.0171213
23666.75987-0.759865
23783.792114.20789
238106.234213.76579
239410.8756-6.87557
24057.1443-2.1443
24144.93673-0.936735
24244.5237-0.523703
24346.54541-2.54541
244168.922067.07794
24546.35246-2.35246
24644.52809-0.528093
24746.51725-2.51725
248146.029017.97099
24954.682110.317892
25055.39984-0.399842
25156.24147-1.24147
25254.998530.00147222
25376.506960.493036
2541913.56615.43387
255168.969427.03058
25646.23918-2.23918
25747.80683-3.80683
25874.154712.84529
25995.448583.55142
26057.25191-2.25191
261149.989924.01008
26245.6147-1.6147
263169.289426.71058
264106.274383.72562
26555.76477-0.764771
26666.10412-0.104124
26745.78063-1.78063
26844.99623-0.996233
26946.78369-2.78369
27055.189-0.188997
27145.1099-1.1099
27245.23859-1.23859
27356.25185-1.25185
27445.38726-1.38726
27546.97401-2.97401
27658.24419-3.24419
27785.718842.28116
2781510.24344.75665

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 4 & 9.84478 & -5.84478 \tabularnewline
2 & 4 & 8.15295 & -4.15295 \tabularnewline
3 & 5 & 7.06681 & -2.06681 \tabularnewline
4 & 4 & 6.1216 & -2.1216 \tabularnewline
5 & 4 & 9.01977 & -5.01977 \tabularnewline
6 & 9 & 7.14336 & 1.85664 \tabularnewline
7 & 8 & 5.38727 & 2.61273 \tabularnewline
8 & 11 & 7.85889 & 3.14111 \tabularnewline
9 & 4 & 4.20215 & -0.202146 \tabularnewline
10 & 4 & 6.28209 & -2.28209 \tabularnewline
11 & 6 & 9.00835 & -3.00835 \tabularnewline
12 & 4 & 5.59465 & -1.59465 \tabularnewline
13 & 8 & 8.01609 & -0.0160948 \tabularnewline
14 & 4 & 3.11462 & 0.885383 \tabularnewline
15 & 4 & 3.15342 & 0.84658 \tabularnewline
16 & 11 & 6.45036 & 4.54964 \tabularnewline
17 & 4 & 8.61662 & -4.61662 \tabularnewline
18 & 4 & 4.98518 & -0.985181 \tabularnewline
19 & 6 & 6.64168 & -0.641675 \tabularnewline
20 & 6 & 2.87005 & 3.12995 \tabularnewline
21 & 4 & 1.80045 & 2.19955 \tabularnewline
22 & 8 & 4.755 & 3.245 \tabularnewline
23 & 5 & 5.47926 & -0.479264 \tabularnewline
24 & 4 & 5.90099 & -1.90099 \tabularnewline
25 & 9 & 6.88208 & 2.11792 \tabularnewline
26 & 4 & 7.02889 & -3.02889 \tabularnewline
27 & 7 & 6.44338 & 0.556618 \tabularnewline
28 & 10 & 7.24191 & 2.75809 \tabularnewline
29 & 4 & 7.63079 & -3.63079 \tabularnewline
30 & 4 & 4.23293 & -0.232929 \tabularnewline
31 & 7 & 9.01544 & -2.01544 \tabularnewline
32 & 12 & 5.9733 & 6.0267 \tabularnewline
33 & 7 & 5.74568 & 1.25432 \tabularnewline
34 & 5 & 3.62978 & 1.37022 \tabularnewline
35 & 8 & 7.45315 & 0.546849 \tabularnewline
36 & 5 & 4.98106 & 0.0189405 \tabularnewline
37 & 4 & 4.70844 & -0.708439 \tabularnewline
38 & 9 & 8.59827 & 0.401731 \tabularnewline
39 & 7 & 7.05329 & -0.0532905 \tabularnewline
40 & 4 & 5.58515 & -1.58515 \tabularnewline
41 & 4 & 8.78537 & -4.78537 \tabularnewline
42 & 4 & 6.15649 & -2.15649 \tabularnewline
43 & 4 & 3.10815 & 0.891849 \tabularnewline
44 & 4 & 6.16641 & -2.16641 \tabularnewline
45 & 7 & 6.31818 & 0.681817 \tabularnewline
46 & 4 & 6.47898 & -2.47898 \tabularnewline
47 & 7 & 8.83848 & -1.83848 \tabularnewline
48 & 4 & 3.75766 & 0.242336 \tabularnewline
49 & 4 & 4.90737 & -0.907369 \tabularnewline
50 & 4 & 7.53472 & -3.53472 \tabularnewline
51 & 4 & 6.71037 & -2.71037 \tabularnewline
52 & 8 & 7.13671 & 0.863294 \tabularnewline
53 & 4 & 5.41727 & -1.41727 \tabularnewline
54 & 4 & 4.14222 & -0.142217 \tabularnewline
55 & 4 & 6.26367 & -2.26367 \tabularnewline
56 & 4 & 6.30597 & -2.30597 \tabularnewline
57 & 7 & 6.88321 & 0.116787 \tabularnewline
58 & 12 & 7.39966 & 4.60034 \tabularnewline
59 & 4 & 5.62914 & -1.62914 \tabularnewline
60 & 4 & 5.72937 & -1.72937 \tabularnewline
61 & 4 & 7.36553 & -3.36553 \tabularnewline
62 & 5 & 3.94141 & 1.05859 \tabularnewline
63 & 15 & 6.44217 & 8.55783 \tabularnewline
64 & 5 & 7.74945 & -2.74945 \tabularnewline
65 & 10 & 7.98897 & 2.01103 \tabularnewline
66 & 9 & 5.24142 & 3.75858 \tabularnewline
67 & 8 & 5.75484 & 2.24516 \tabularnewline
68 & 4 & 6.13841 & -2.13841 \tabularnewline
69 & 5 & 3.60347 & 1.39653 \tabularnewline
70 & 4 & 5.73905 & -1.73905 \tabularnewline
71 & 9 & 6.92938 & 2.07062 \tabularnewline
72 & 4 & 6.32273 & -2.32273 \tabularnewline
73 & 10 & 7.52137 & 2.47863 \tabularnewline
74 & 4 & 7.028 & -3.028 \tabularnewline
75 & 4 & 3.53618 & 0.463822 \tabularnewline
76 & 7 & 5.70882 & 1.29118 \tabularnewline
77 & 5 & 7.33004 & -2.33004 \tabularnewline
78 & 4 & 4.97245 & -0.972446 \tabularnewline
79 & 4 & 6.95863 & -2.95863 \tabularnewline
80 & 4 & 6.85697 & -2.85697 \tabularnewline
81 & 4 & 5.96259 & -1.96259 \tabularnewline
82 & 4 & 4.73424 & -0.73424 \tabularnewline
83 & 4 & 3.89906 & 0.100943 \tabularnewline
84 & 6 & 6.28836 & -0.288363 \tabularnewline
85 & 10 & 9.08123 & 0.918773 \tabularnewline
86 & 7 & 6.48673 & 0.513273 \tabularnewline
87 & 4 & 4.37555 & -0.375545 \tabularnewline
88 & 4 & 4.73924 & -0.739241 \tabularnewline
89 & 7 & 6.74829 & 0.251713 \tabularnewline
90 & 4 & 4.41817 & -0.418174 \tabularnewline
91 & 8 & 7.28923 & 0.71077 \tabularnewline
92 & 11 & 8.32234 & 2.67766 \tabularnewline
93 & 6 & 4.59235 & 1.40765 \tabularnewline
94 & 14 & 8.72697 & 5.27303 \tabularnewline
95 & 5 & 7.09878 & -2.09878 \tabularnewline
96 & 4 & 6.87654 & -2.87654 \tabularnewline
97 & 8 & 7.88446 & 0.115541 \tabularnewline
98 & 9 & 5.19403 & 3.80597 \tabularnewline
99 & 4 & 6.23488 & -2.23488 \tabularnewline
100 & 4 & 5.50752 & -1.50752 \tabularnewline
101 & 5 & 6.96941 & -1.96941 \tabularnewline
102 & 4 & 5.26513 & -1.26513 \tabularnewline
103 & 5 & 4.51965 & 0.480347 \tabularnewline
104 & 4 & 3.00758 & 0.992421 \tabularnewline
105 & 4 & 7.451 & -3.451 \tabularnewline
106 & 7 & 6.47556 & 0.524442 \tabularnewline
107 & 10 & 4.57324 & 5.42676 \tabularnewline
108 & 4 & 3.96143 & 0.0385663 \tabularnewline
109 & 5 & 6.62129 & -1.62129 \tabularnewline
110 & 4 & 5.08737 & -1.08737 \tabularnewline
111 & 4 & 5.82912 & -1.82912 \tabularnewline
112 & 4 & 6.48543 & -2.48543 \tabularnewline
113 & 6 & 6.99583 & -0.995829 \tabularnewline
114 & 4 & 8.00029 & -4.00029 \tabularnewline
115 & 8 & 8.42421 & -0.424206 \tabularnewline
116 & 5 & 7.01023 & -2.01023 \tabularnewline
117 & 4 & 2.79221 & 1.20779 \tabularnewline
118 & 17 & 8.30684 & 8.69316 \tabularnewline
119 & 4 & 4.35936 & -0.359364 \tabularnewline
120 & 4 & 3.43117 & 0.568826 \tabularnewline
121 & 8 & 6.91668 & 1.08332 \tabularnewline
122 & 4 & 7.46779 & -3.46779 \tabularnewline
123 & 7 & 7.92148 & -0.921481 \tabularnewline
124 & 4 & 4.04915 & -0.0491478 \tabularnewline
125 & 4 & 7.33208 & -3.33208 \tabularnewline
126 & 5 & 5.22812 & -0.228121 \tabularnewline
127 & 7 & 7.70268 & -0.702676 \tabularnewline
128 & 4 & 5.1097 & -1.1097 \tabularnewline
129 & 4 & 3.5967 & 0.403302 \tabularnewline
130 & 7 & 7.9251 & -0.925099 \tabularnewline
131 & 11 & 9.25303 & 1.74697 \tabularnewline
132 & 7 & 5.55814 & 1.44186 \tabularnewline
133 & 4 & 2.53409 & 1.46591 \tabularnewline
134 & 4 & 7.25187 & -3.25187 \tabularnewline
135 & 4 & 7.13611 & -3.13611 \tabularnewline
136 & 4 & 8.15648 & -4.15648 \tabularnewline
137 & 4 & 7.9461 & -3.9461 \tabularnewline
138 & 4 & 4.44613 & -0.446133 \tabularnewline
139 & 6 & 6.471 & -0.471003 \tabularnewline
140 & 8 & 4.54071 & 3.45929 \tabularnewline
141 & 23 & 12.0442 & 10.9558 \tabularnewline
142 & 4 & 4.15286 & -0.152856 \tabularnewline
143 & 8 & 5.10182 & 2.89818 \tabularnewline
144 & 6 & 5.52345 & 0.476548 \tabularnewline
145 & 4 & 4.66623 & -0.66623 \tabularnewline
146 & 7 & 7.72601 & -0.726007 \tabularnewline
147 & 4 & 5.98755 & -1.98755 \tabularnewline
148 & 4 & 8.28034 & -4.28034 \tabularnewline
149 & 4 & 8.89665 & -4.89665 \tabularnewline
150 & 10 & 4.6766 & 5.3234 \tabularnewline
151 & 6 & 1.62747 & 4.37253 \tabularnewline
152 & 5 & 5.7729 & -0.772896 \tabularnewline
153 & 5 & 7.72944 & -2.72944 \tabularnewline
154 & 4 & 7.60964 & -3.60964 \tabularnewline
155 & 4 & 3.8919 & 0.108098 \tabularnewline
156 & 5 & 3.75212 & 1.24788 \tabularnewline
157 & 5 & 5.55211 & -0.552108 \tabularnewline
158 & 5 & 5.6591 & -0.659101 \tabularnewline
159 & 5 & 6.12608 & -1.12608 \tabularnewline
160 & 4 & 6.2727 & -2.2727 \tabularnewline
161 & 6 & 5.84456 & 0.155439 \tabularnewline
162 & 4 & 4.28774 & -0.287743 \tabularnewline
163 & 4 & 4.80099 & -0.800994 \tabularnewline
164 & 4 & 8.36897 & -4.36897 \tabularnewline
165 & 9 & 8.74168 & 0.258315 \tabularnewline
166 & 18 & 8.67661 & 9.32339 \tabularnewline
167 & 6 & 6.07778 & -0.0777834 \tabularnewline
168 & 5 & 5.98286 & -0.982856 \tabularnewline
169 & 4 & 4.2845 & -0.2845 \tabularnewline
170 & 11 & 8.39159 & 2.60841 \tabularnewline
171 & 4 & 4.83273 & -0.83273 \tabularnewline
172 & 10 & 5.11805 & 4.88195 \tabularnewline
173 & 6 & 6.70042 & -0.700417 \tabularnewline
174 & 8 & 5.44626 & 2.55374 \tabularnewline
175 & 8 & 7.02629 & 0.973712 \tabularnewline
176 & 6 & 5.83145 & 0.168554 \tabularnewline
177 & 8 & 7.66994 & 0.33006 \tabularnewline
178 & 4 & 9.48892 & -5.48892 \tabularnewline
179 & 4 & 6.73067 & -2.73067 \tabularnewline
180 & 9 & 6.00072 & 2.99928 \tabularnewline
181 & 9 & 5.01255 & 3.98745 \tabularnewline
182 & 5 & 6.90606 & -1.90606 \tabularnewline
183 & 4 & 5.61549 & -1.61549 \tabularnewline
184 & 4 & 6.02777 & -2.02777 \tabularnewline
185 & 15 & 9.69569 & 5.30431 \tabularnewline
186 & 10 & 5.6881 & 4.3119 \tabularnewline
187 & 9 & 5.58516 & 3.41484 \tabularnewline
188 & 7 & 5.63036 & 1.36964 \tabularnewline
189 & 9 & 6.15455 & 2.84545 \tabularnewline
190 & 6 & 3.91074 & 2.08926 \tabularnewline
191 & 4 & 8.34113 & -4.34113 \tabularnewline
192 & 7 & 6.86959 & 0.13041 \tabularnewline
193 & 4 & 4.38551 & -0.385509 \tabularnewline
194 & 7 & 7.80965 & -0.809649 \tabularnewline
195 & 4 & 4.32582 & -0.325819 \tabularnewline
196 & 15 & 9.95087 & 5.04913 \tabularnewline
197 & 4 & 6.56137 & -2.56137 \tabularnewline
198 & 9 & 8.42752 & 0.572483 \tabularnewline
199 & 4 & 4.00348 & -0.00347837 \tabularnewline
200 & 4 & 5.13018 & -1.13018 \tabularnewline
201 & 28 & 19.3713 & 8.62875 \tabularnewline
202 & 4 & 8.55381 & -4.55381 \tabularnewline
203 & 4 & 4.94539 & -0.945393 \tabularnewline
204 & 4 & 6.71914 & -2.71914 \tabularnewline
205 & 5 & 5.40648 & -0.406482 \tabularnewline
206 & 4 & 5.1551 & -1.1551 \tabularnewline
207 & 4 & 1.9521 & 2.0479 \tabularnewline
208 & 12 & 8.93337 & 3.06663 \tabularnewline
209 & 5 & 5.73938 & -0.739376 \tabularnewline
210 & 6 & 3.55635 & 2.44365 \tabularnewline
211 & 6 & 5.1229 & 0.877096 \tabularnewline
212 & 5 & 3.49973 & 1.50027 \tabularnewline
213 & 4 & 6.23623 & -2.23623 \tabularnewline
214 & 4 & 3.10241 & 0.897589 \tabularnewline
215 & 4 & 4.20197 & -0.201972 \tabularnewline
216 & 10 & 8.84716 & 1.15284 \tabularnewline
217 & 7 & 8.63988 & -1.63988 \tabularnewline
218 & 4 & 6.75419 & -2.75419 \tabularnewline
219 & 7 & 7.45084 & -0.450842 \tabularnewline
220 & 4 & 7.45432 & -3.45432 \tabularnewline
221 & 4 & 4.50816 & -0.508163 \tabularnewline
222 & 12 & 7.10247 & 4.89753 \tabularnewline
223 & 5 & 7.95319 & -2.95319 \tabularnewline
224 & 8 & 6.12532 & 1.87468 \tabularnewline
225 & 6 & 8.11362 & -2.11362 \tabularnewline
226 & 17 & 7.08914 & 9.91086 \tabularnewline
227 & 4 & 4.55124 & -0.55124 \tabularnewline
228 & 5 & 5.80721 & -0.807213 \tabularnewline
229 & 4 & 4.71192 & -0.711915 \tabularnewline
230 & 5 & 5.21895 & -0.218952 \tabularnewline
231 & 5 & 4.81671 & 0.183289 \tabularnewline
232 & 6 & 4.16603 & 1.83397 \tabularnewline
233 & 4 & 4.02159 & -0.0215857 \tabularnewline
234 & 4 & 4.38615 & -0.386154 \tabularnewline
235 & 4 & 3.98288 & 0.0171213 \tabularnewline
236 & 6 & 6.75987 & -0.759865 \tabularnewline
237 & 8 & 3.79211 & 4.20789 \tabularnewline
238 & 10 & 6.23421 & 3.76579 \tabularnewline
239 & 4 & 10.8756 & -6.87557 \tabularnewline
240 & 5 & 7.1443 & -2.1443 \tabularnewline
241 & 4 & 4.93673 & -0.936735 \tabularnewline
242 & 4 & 4.5237 & -0.523703 \tabularnewline
243 & 4 & 6.54541 & -2.54541 \tabularnewline
244 & 16 & 8.92206 & 7.07794 \tabularnewline
245 & 4 & 6.35246 & -2.35246 \tabularnewline
246 & 4 & 4.52809 & -0.528093 \tabularnewline
247 & 4 & 6.51725 & -2.51725 \tabularnewline
248 & 14 & 6.02901 & 7.97099 \tabularnewline
249 & 5 & 4.68211 & 0.317892 \tabularnewline
250 & 5 & 5.39984 & -0.399842 \tabularnewline
251 & 5 & 6.24147 & -1.24147 \tabularnewline
252 & 5 & 4.99853 & 0.00147222 \tabularnewline
253 & 7 & 6.50696 & 0.493036 \tabularnewline
254 & 19 & 13.5661 & 5.43387 \tabularnewline
255 & 16 & 8.96942 & 7.03058 \tabularnewline
256 & 4 & 6.23918 & -2.23918 \tabularnewline
257 & 4 & 7.80683 & -3.80683 \tabularnewline
258 & 7 & 4.15471 & 2.84529 \tabularnewline
259 & 9 & 5.44858 & 3.55142 \tabularnewline
260 & 5 & 7.25191 & -2.25191 \tabularnewline
261 & 14 & 9.98992 & 4.01008 \tabularnewline
262 & 4 & 5.6147 & -1.6147 \tabularnewline
263 & 16 & 9.28942 & 6.71058 \tabularnewline
264 & 10 & 6.27438 & 3.72562 \tabularnewline
265 & 5 & 5.76477 & -0.764771 \tabularnewline
266 & 6 & 6.10412 & -0.104124 \tabularnewline
267 & 4 & 5.78063 & -1.78063 \tabularnewline
268 & 4 & 4.99623 & -0.996233 \tabularnewline
269 & 4 & 6.78369 & -2.78369 \tabularnewline
270 & 5 & 5.189 & -0.188997 \tabularnewline
271 & 4 & 5.1099 & -1.1099 \tabularnewline
272 & 4 & 5.23859 & -1.23859 \tabularnewline
273 & 5 & 6.25185 & -1.25185 \tabularnewline
274 & 4 & 5.38726 & -1.38726 \tabularnewline
275 & 4 & 6.97401 & -2.97401 \tabularnewline
276 & 5 & 8.24419 & -3.24419 \tabularnewline
277 & 8 & 5.71884 & 2.28116 \tabularnewline
278 & 15 & 10.2434 & 4.75665 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265669&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]4[/C][C]9.84478[/C][C]-5.84478[/C][/ROW]
[ROW][C]2[/C][C]4[/C][C]8.15295[/C][C]-4.15295[/C][/ROW]
[ROW][C]3[/C][C]5[/C][C]7.06681[/C][C]-2.06681[/C][/ROW]
[ROW][C]4[/C][C]4[/C][C]6.1216[/C][C]-2.1216[/C][/ROW]
[ROW][C]5[/C][C]4[/C][C]9.01977[/C][C]-5.01977[/C][/ROW]
[ROW][C]6[/C][C]9[/C][C]7.14336[/C][C]1.85664[/C][/ROW]
[ROW][C]7[/C][C]8[/C][C]5.38727[/C][C]2.61273[/C][/ROW]
[ROW][C]8[/C][C]11[/C][C]7.85889[/C][C]3.14111[/C][/ROW]
[ROW][C]9[/C][C]4[/C][C]4.20215[/C][C]-0.202146[/C][/ROW]
[ROW][C]10[/C][C]4[/C][C]6.28209[/C][C]-2.28209[/C][/ROW]
[ROW][C]11[/C][C]6[/C][C]9.00835[/C][C]-3.00835[/C][/ROW]
[ROW][C]12[/C][C]4[/C][C]5.59465[/C][C]-1.59465[/C][/ROW]
[ROW][C]13[/C][C]8[/C][C]8.01609[/C][C]-0.0160948[/C][/ROW]
[ROW][C]14[/C][C]4[/C][C]3.11462[/C][C]0.885383[/C][/ROW]
[ROW][C]15[/C][C]4[/C][C]3.15342[/C][C]0.84658[/C][/ROW]
[ROW][C]16[/C][C]11[/C][C]6.45036[/C][C]4.54964[/C][/ROW]
[ROW][C]17[/C][C]4[/C][C]8.61662[/C][C]-4.61662[/C][/ROW]
[ROW][C]18[/C][C]4[/C][C]4.98518[/C][C]-0.985181[/C][/ROW]
[ROW][C]19[/C][C]6[/C][C]6.64168[/C][C]-0.641675[/C][/ROW]
[ROW][C]20[/C][C]6[/C][C]2.87005[/C][C]3.12995[/C][/ROW]
[ROW][C]21[/C][C]4[/C][C]1.80045[/C][C]2.19955[/C][/ROW]
[ROW][C]22[/C][C]8[/C][C]4.755[/C][C]3.245[/C][/ROW]
[ROW][C]23[/C][C]5[/C][C]5.47926[/C][C]-0.479264[/C][/ROW]
[ROW][C]24[/C][C]4[/C][C]5.90099[/C][C]-1.90099[/C][/ROW]
[ROW][C]25[/C][C]9[/C][C]6.88208[/C][C]2.11792[/C][/ROW]
[ROW][C]26[/C][C]4[/C][C]7.02889[/C][C]-3.02889[/C][/ROW]
[ROW][C]27[/C][C]7[/C][C]6.44338[/C][C]0.556618[/C][/ROW]
[ROW][C]28[/C][C]10[/C][C]7.24191[/C][C]2.75809[/C][/ROW]
[ROW][C]29[/C][C]4[/C][C]7.63079[/C][C]-3.63079[/C][/ROW]
[ROW][C]30[/C][C]4[/C][C]4.23293[/C][C]-0.232929[/C][/ROW]
[ROW][C]31[/C][C]7[/C][C]9.01544[/C][C]-2.01544[/C][/ROW]
[ROW][C]32[/C][C]12[/C][C]5.9733[/C][C]6.0267[/C][/ROW]
[ROW][C]33[/C][C]7[/C][C]5.74568[/C][C]1.25432[/C][/ROW]
[ROW][C]34[/C][C]5[/C][C]3.62978[/C][C]1.37022[/C][/ROW]
[ROW][C]35[/C][C]8[/C][C]7.45315[/C][C]0.546849[/C][/ROW]
[ROW][C]36[/C][C]5[/C][C]4.98106[/C][C]0.0189405[/C][/ROW]
[ROW][C]37[/C][C]4[/C][C]4.70844[/C][C]-0.708439[/C][/ROW]
[ROW][C]38[/C][C]9[/C][C]8.59827[/C][C]0.401731[/C][/ROW]
[ROW][C]39[/C][C]7[/C][C]7.05329[/C][C]-0.0532905[/C][/ROW]
[ROW][C]40[/C][C]4[/C][C]5.58515[/C][C]-1.58515[/C][/ROW]
[ROW][C]41[/C][C]4[/C][C]8.78537[/C][C]-4.78537[/C][/ROW]
[ROW][C]42[/C][C]4[/C][C]6.15649[/C][C]-2.15649[/C][/ROW]
[ROW][C]43[/C][C]4[/C][C]3.10815[/C][C]0.891849[/C][/ROW]
[ROW][C]44[/C][C]4[/C][C]6.16641[/C][C]-2.16641[/C][/ROW]
[ROW][C]45[/C][C]7[/C][C]6.31818[/C][C]0.681817[/C][/ROW]
[ROW][C]46[/C][C]4[/C][C]6.47898[/C][C]-2.47898[/C][/ROW]
[ROW][C]47[/C][C]7[/C][C]8.83848[/C][C]-1.83848[/C][/ROW]
[ROW][C]48[/C][C]4[/C][C]3.75766[/C][C]0.242336[/C][/ROW]
[ROW][C]49[/C][C]4[/C][C]4.90737[/C][C]-0.907369[/C][/ROW]
[ROW][C]50[/C][C]4[/C][C]7.53472[/C][C]-3.53472[/C][/ROW]
[ROW][C]51[/C][C]4[/C][C]6.71037[/C][C]-2.71037[/C][/ROW]
[ROW][C]52[/C][C]8[/C][C]7.13671[/C][C]0.863294[/C][/ROW]
[ROW][C]53[/C][C]4[/C][C]5.41727[/C][C]-1.41727[/C][/ROW]
[ROW][C]54[/C][C]4[/C][C]4.14222[/C][C]-0.142217[/C][/ROW]
[ROW][C]55[/C][C]4[/C][C]6.26367[/C][C]-2.26367[/C][/ROW]
[ROW][C]56[/C][C]4[/C][C]6.30597[/C][C]-2.30597[/C][/ROW]
[ROW][C]57[/C][C]7[/C][C]6.88321[/C][C]0.116787[/C][/ROW]
[ROW][C]58[/C][C]12[/C][C]7.39966[/C][C]4.60034[/C][/ROW]
[ROW][C]59[/C][C]4[/C][C]5.62914[/C][C]-1.62914[/C][/ROW]
[ROW][C]60[/C][C]4[/C][C]5.72937[/C][C]-1.72937[/C][/ROW]
[ROW][C]61[/C][C]4[/C][C]7.36553[/C][C]-3.36553[/C][/ROW]
[ROW][C]62[/C][C]5[/C][C]3.94141[/C][C]1.05859[/C][/ROW]
[ROW][C]63[/C][C]15[/C][C]6.44217[/C][C]8.55783[/C][/ROW]
[ROW][C]64[/C][C]5[/C][C]7.74945[/C][C]-2.74945[/C][/ROW]
[ROW][C]65[/C][C]10[/C][C]7.98897[/C][C]2.01103[/C][/ROW]
[ROW][C]66[/C][C]9[/C][C]5.24142[/C][C]3.75858[/C][/ROW]
[ROW][C]67[/C][C]8[/C][C]5.75484[/C][C]2.24516[/C][/ROW]
[ROW][C]68[/C][C]4[/C][C]6.13841[/C][C]-2.13841[/C][/ROW]
[ROW][C]69[/C][C]5[/C][C]3.60347[/C][C]1.39653[/C][/ROW]
[ROW][C]70[/C][C]4[/C][C]5.73905[/C][C]-1.73905[/C][/ROW]
[ROW][C]71[/C][C]9[/C][C]6.92938[/C][C]2.07062[/C][/ROW]
[ROW][C]72[/C][C]4[/C][C]6.32273[/C][C]-2.32273[/C][/ROW]
[ROW][C]73[/C][C]10[/C][C]7.52137[/C][C]2.47863[/C][/ROW]
[ROW][C]74[/C][C]4[/C][C]7.028[/C][C]-3.028[/C][/ROW]
[ROW][C]75[/C][C]4[/C][C]3.53618[/C][C]0.463822[/C][/ROW]
[ROW][C]76[/C][C]7[/C][C]5.70882[/C][C]1.29118[/C][/ROW]
[ROW][C]77[/C][C]5[/C][C]7.33004[/C][C]-2.33004[/C][/ROW]
[ROW][C]78[/C][C]4[/C][C]4.97245[/C][C]-0.972446[/C][/ROW]
[ROW][C]79[/C][C]4[/C][C]6.95863[/C][C]-2.95863[/C][/ROW]
[ROW][C]80[/C][C]4[/C][C]6.85697[/C][C]-2.85697[/C][/ROW]
[ROW][C]81[/C][C]4[/C][C]5.96259[/C][C]-1.96259[/C][/ROW]
[ROW][C]82[/C][C]4[/C][C]4.73424[/C][C]-0.73424[/C][/ROW]
[ROW][C]83[/C][C]4[/C][C]3.89906[/C][C]0.100943[/C][/ROW]
[ROW][C]84[/C][C]6[/C][C]6.28836[/C][C]-0.288363[/C][/ROW]
[ROW][C]85[/C][C]10[/C][C]9.08123[/C][C]0.918773[/C][/ROW]
[ROW][C]86[/C][C]7[/C][C]6.48673[/C][C]0.513273[/C][/ROW]
[ROW][C]87[/C][C]4[/C][C]4.37555[/C][C]-0.375545[/C][/ROW]
[ROW][C]88[/C][C]4[/C][C]4.73924[/C][C]-0.739241[/C][/ROW]
[ROW][C]89[/C][C]7[/C][C]6.74829[/C][C]0.251713[/C][/ROW]
[ROW][C]90[/C][C]4[/C][C]4.41817[/C][C]-0.418174[/C][/ROW]
[ROW][C]91[/C][C]8[/C][C]7.28923[/C][C]0.71077[/C][/ROW]
[ROW][C]92[/C][C]11[/C][C]8.32234[/C][C]2.67766[/C][/ROW]
[ROW][C]93[/C][C]6[/C][C]4.59235[/C][C]1.40765[/C][/ROW]
[ROW][C]94[/C][C]14[/C][C]8.72697[/C][C]5.27303[/C][/ROW]
[ROW][C]95[/C][C]5[/C][C]7.09878[/C][C]-2.09878[/C][/ROW]
[ROW][C]96[/C][C]4[/C][C]6.87654[/C][C]-2.87654[/C][/ROW]
[ROW][C]97[/C][C]8[/C][C]7.88446[/C][C]0.115541[/C][/ROW]
[ROW][C]98[/C][C]9[/C][C]5.19403[/C][C]3.80597[/C][/ROW]
[ROW][C]99[/C][C]4[/C][C]6.23488[/C][C]-2.23488[/C][/ROW]
[ROW][C]100[/C][C]4[/C][C]5.50752[/C][C]-1.50752[/C][/ROW]
[ROW][C]101[/C][C]5[/C][C]6.96941[/C][C]-1.96941[/C][/ROW]
[ROW][C]102[/C][C]4[/C][C]5.26513[/C][C]-1.26513[/C][/ROW]
[ROW][C]103[/C][C]5[/C][C]4.51965[/C][C]0.480347[/C][/ROW]
[ROW][C]104[/C][C]4[/C][C]3.00758[/C][C]0.992421[/C][/ROW]
[ROW][C]105[/C][C]4[/C][C]7.451[/C][C]-3.451[/C][/ROW]
[ROW][C]106[/C][C]7[/C][C]6.47556[/C][C]0.524442[/C][/ROW]
[ROW][C]107[/C][C]10[/C][C]4.57324[/C][C]5.42676[/C][/ROW]
[ROW][C]108[/C][C]4[/C][C]3.96143[/C][C]0.0385663[/C][/ROW]
[ROW][C]109[/C][C]5[/C][C]6.62129[/C][C]-1.62129[/C][/ROW]
[ROW][C]110[/C][C]4[/C][C]5.08737[/C][C]-1.08737[/C][/ROW]
[ROW][C]111[/C][C]4[/C][C]5.82912[/C][C]-1.82912[/C][/ROW]
[ROW][C]112[/C][C]4[/C][C]6.48543[/C][C]-2.48543[/C][/ROW]
[ROW][C]113[/C][C]6[/C][C]6.99583[/C][C]-0.995829[/C][/ROW]
[ROW][C]114[/C][C]4[/C][C]8.00029[/C][C]-4.00029[/C][/ROW]
[ROW][C]115[/C][C]8[/C][C]8.42421[/C][C]-0.424206[/C][/ROW]
[ROW][C]116[/C][C]5[/C][C]7.01023[/C][C]-2.01023[/C][/ROW]
[ROW][C]117[/C][C]4[/C][C]2.79221[/C][C]1.20779[/C][/ROW]
[ROW][C]118[/C][C]17[/C][C]8.30684[/C][C]8.69316[/C][/ROW]
[ROW][C]119[/C][C]4[/C][C]4.35936[/C][C]-0.359364[/C][/ROW]
[ROW][C]120[/C][C]4[/C][C]3.43117[/C][C]0.568826[/C][/ROW]
[ROW][C]121[/C][C]8[/C][C]6.91668[/C][C]1.08332[/C][/ROW]
[ROW][C]122[/C][C]4[/C][C]7.46779[/C][C]-3.46779[/C][/ROW]
[ROW][C]123[/C][C]7[/C][C]7.92148[/C][C]-0.921481[/C][/ROW]
[ROW][C]124[/C][C]4[/C][C]4.04915[/C][C]-0.0491478[/C][/ROW]
[ROW][C]125[/C][C]4[/C][C]7.33208[/C][C]-3.33208[/C][/ROW]
[ROW][C]126[/C][C]5[/C][C]5.22812[/C][C]-0.228121[/C][/ROW]
[ROW][C]127[/C][C]7[/C][C]7.70268[/C][C]-0.702676[/C][/ROW]
[ROW][C]128[/C][C]4[/C][C]5.1097[/C][C]-1.1097[/C][/ROW]
[ROW][C]129[/C][C]4[/C][C]3.5967[/C][C]0.403302[/C][/ROW]
[ROW][C]130[/C][C]7[/C][C]7.9251[/C][C]-0.925099[/C][/ROW]
[ROW][C]131[/C][C]11[/C][C]9.25303[/C][C]1.74697[/C][/ROW]
[ROW][C]132[/C][C]7[/C][C]5.55814[/C][C]1.44186[/C][/ROW]
[ROW][C]133[/C][C]4[/C][C]2.53409[/C][C]1.46591[/C][/ROW]
[ROW][C]134[/C][C]4[/C][C]7.25187[/C][C]-3.25187[/C][/ROW]
[ROW][C]135[/C][C]4[/C][C]7.13611[/C][C]-3.13611[/C][/ROW]
[ROW][C]136[/C][C]4[/C][C]8.15648[/C][C]-4.15648[/C][/ROW]
[ROW][C]137[/C][C]4[/C][C]7.9461[/C][C]-3.9461[/C][/ROW]
[ROW][C]138[/C][C]4[/C][C]4.44613[/C][C]-0.446133[/C][/ROW]
[ROW][C]139[/C][C]6[/C][C]6.471[/C][C]-0.471003[/C][/ROW]
[ROW][C]140[/C][C]8[/C][C]4.54071[/C][C]3.45929[/C][/ROW]
[ROW][C]141[/C][C]23[/C][C]12.0442[/C][C]10.9558[/C][/ROW]
[ROW][C]142[/C][C]4[/C][C]4.15286[/C][C]-0.152856[/C][/ROW]
[ROW][C]143[/C][C]8[/C][C]5.10182[/C][C]2.89818[/C][/ROW]
[ROW][C]144[/C][C]6[/C][C]5.52345[/C][C]0.476548[/C][/ROW]
[ROW][C]145[/C][C]4[/C][C]4.66623[/C][C]-0.66623[/C][/ROW]
[ROW][C]146[/C][C]7[/C][C]7.72601[/C][C]-0.726007[/C][/ROW]
[ROW][C]147[/C][C]4[/C][C]5.98755[/C][C]-1.98755[/C][/ROW]
[ROW][C]148[/C][C]4[/C][C]8.28034[/C][C]-4.28034[/C][/ROW]
[ROW][C]149[/C][C]4[/C][C]8.89665[/C][C]-4.89665[/C][/ROW]
[ROW][C]150[/C][C]10[/C][C]4.6766[/C][C]5.3234[/C][/ROW]
[ROW][C]151[/C][C]6[/C][C]1.62747[/C][C]4.37253[/C][/ROW]
[ROW][C]152[/C][C]5[/C][C]5.7729[/C][C]-0.772896[/C][/ROW]
[ROW][C]153[/C][C]5[/C][C]7.72944[/C][C]-2.72944[/C][/ROW]
[ROW][C]154[/C][C]4[/C][C]7.60964[/C][C]-3.60964[/C][/ROW]
[ROW][C]155[/C][C]4[/C][C]3.8919[/C][C]0.108098[/C][/ROW]
[ROW][C]156[/C][C]5[/C][C]3.75212[/C][C]1.24788[/C][/ROW]
[ROW][C]157[/C][C]5[/C][C]5.55211[/C][C]-0.552108[/C][/ROW]
[ROW][C]158[/C][C]5[/C][C]5.6591[/C][C]-0.659101[/C][/ROW]
[ROW][C]159[/C][C]5[/C][C]6.12608[/C][C]-1.12608[/C][/ROW]
[ROW][C]160[/C][C]4[/C][C]6.2727[/C][C]-2.2727[/C][/ROW]
[ROW][C]161[/C][C]6[/C][C]5.84456[/C][C]0.155439[/C][/ROW]
[ROW][C]162[/C][C]4[/C][C]4.28774[/C][C]-0.287743[/C][/ROW]
[ROW][C]163[/C][C]4[/C][C]4.80099[/C][C]-0.800994[/C][/ROW]
[ROW][C]164[/C][C]4[/C][C]8.36897[/C][C]-4.36897[/C][/ROW]
[ROW][C]165[/C][C]9[/C][C]8.74168[/C][C]0.258315[/C][/ROW]
[ROW][C]166[/C][C]18[/C][C]8.67661[/C][C]9.32339[/C][/ROW]
[ROW][C]167[/C][C]6[/C][C]6.07778[/C][C]-0.0777834[/C][/ROW]
[ROW][C]168[/C][C]5[/C][C]5.98286[/C][C]-0.982856[/C][/ROW]
[ROW][C]169[/C][C]4[/C][C]4.2845[/C][C]-0.2845[/C][/ROW]
[ROW][C]170[/C][C]11[/C][C]8.39159[/C][C]2.60841[/C][/ROW]
[ROW][C]171[/C][C]4[/C][C]4.83273[/C][C]-0.83273[/C][/ROW]
[ROW][C]172[/C][C]10[/C][C]5.11805[/C][C]4.88195[/C][/ROW]
[ROW][C]173[/C][C]6[/C][C]6.70042[/C][C]-0.700417[/C][/ROW]
[ROW][C]174[/C][C]8[/C][C]5.44626[/C][C]2.55374[/C][/ROW]
[ROW][C]175[/C][C]8[/C][C]7.02629[/C][C]0.973712[/C][/ROW]
[ROW][C]176[/C][C]6[/C][C]5.83145[/C][C]0.168554[/C][/ROW]
[ROW][C]177[/C][C]8[/C][C]7.66994[/C][C]0.33006[/C][/ROW]
[ROW][C]178[/C][C]4[/C][C]9.48892[/C][C]-5.48892[/C][/ROW]
[ROW][C]179[/C][C]4[/C][C]6.73067[/C][C]-2.73067[/C][/ROW]
[ROW][C]180[/C][C]9[/C][C]6.00072[/C][C]2.99928[/C][/ROW]
[ROW][C]181[/C][C]9[/C][C]5.01255[/C][C]3.98745[/C][/ROW]
[ROW][C]182[/C][C]5[/C][C]6.90606[/C][C]-1.90606[/C][/ROW]
[ROW][C]183[/C][C]4[/C][C]5.61549[/C][C]-1.61549[/C][/ROW]
[ROW][C]184[/C][C]4[/C][C]6.02777[/C][C]-2.02777[/C][/ROW]
[ROW][C]185[/C][C]15[/C][C]9.69569[/C][C]5.30431[/C][/ROW]
[ROW][C]186[/C][C]10[/C][C]5.6881[/C][C]4.3119[/C][/ROW]
[ROW][C]187[/C][C]9[/C][C]5.58516[/C][C]3.41484[/C][/ROW]
[ROW][C]188[/C][C]7[/C][C]5.63036[/C][C]1.36964[/C][/ROW]
[ROW][C]189[/C][C]9[/C][C]6.15455[/C][C]2.84545[/C][/ROW]
[ROW][C]190[/C][C]6[/C][C]3.91074[/C][C]2.08926[/C][/ROW]
[ROW][C]191[/C][C]4[/C][C]8.34113[/C][C]-4.34113[/C][/ROW]
[ROW][C]192[/C][C]7[/C][C]6.86959[/C][C]0.13041[/C][/ROW]
[ROW][C]193[/C][C]4[/C][C]4.38551[/C][C]-0.385509[/C][/ROW]
[ROW][C]194[/C][C]7[/C][C]7.80965[/C][C]-0.809649[/C][/ROW]
[ROW][C]195[/C][C]4[/C][C]4.32582[/C][C]-0.325819[/C][/ROW]
[ROW][C]196[/C][C]15[/C][C]9.95087[/C][C]5.04913[/C][/ROW]
[ROW][C]197[/C][C]4[/C][C]6.56137[/C][C]-2.56137[/C][/ROW]
[ROW][C]198[/C][C]9[/C][C]8.42752[/C][C]0.572483[/C][/ROW]
[ROW][C]199[/C][C]4[/C][C]4.00348[/C][C]-0.00347837[/C][/ROW]
[ROW][C]200[/C][C]4[/C][C]5.13018[/C][C]-1.13018[/C][/ROW]
[ROW][C]201[/C][C]28[/C][C]19.3713[/C][C]8.62875[/C][/ROW]
[ROW][C]202[/C][C]4[/C][C]8.55381[/C][C]-4.55381[/C][/ROW]
[ROW][C]203[/C][C]4[/C][C]4.94539[/C][C]-0.945393[/C][/ROW]
[ROW][C]204[/C][C]4[/C][C]6.71914[/C][C]-2.71914[/C][/ROW]
[ROW][C]205[/C][C]5[/C][C]5.40648[/C][C]-0.406482[/C][/ROW]
[ROW][C]206[/C][C]4[/C][C]5.1551[/C][C]-1.1551[/C][/ROW]
[ROW][C]207[/C][C]4[/C][C]1.9521[/C][C]2.0479[/C][/ROW]
[ROW][C]208[/C][C]12[/C][C]8.93337[/C][C]3.06663[/C][/ROW]
[ROW][C]209[/C][C]5[/C][C]5.73938[/C][C]-0.739376[/C][/ROW]
[ROW][C]210[/C][C]6[/C][C]3.55635[/C][C]2.44365[/C][/ROW]
[ROW][C]211[/C][C]6[/C][C]5.1229[/C][C]0.877096[/C][/ROW]
[ROW][C]212[/C][C]5[/C][C]3.49973[/C][C]1.50027[/C][/ROW]
[ROW][C]213[/C][C]4[/C][C]6.23623[/C][C]-2.23623[/C][/ROW]
[ROW][C]214[/C][C]4[/C][C]3.10241[/C][C]0.897589[/C][/ROW]
[ROW][C]215[/C][C]4[/C][C]4.20197[/C][C]-0.201972[/C][/ROW]
[ROW][C]216[/C][C]10[/C][C]8.84716[/C][C]1.15284[/C][/ROW]
[ROW][C]217[/C][C]7[/C][C]8.63988[/C][C]-1.63988[/C][/ROW]
[ROW][C]218[/C][C]4[/C][C]6.75419[/C][C]-2.75419[/C][/ROW]
[ROW][C]219[/C][C]7[/C][C]7.45084[/C][C]-0.450842[/C][/ROW]
[ROW][C]220[/C][C]4[/C][C]7.45432[/C][C]-3.45432[/C][/ROW]
[ROW][C]221[/C][C]4[/C][C]4.50816[/C][C]-0.508163[/C][/ROW]
[ROW][C]222[/C][C]12[/C][C]7.10247[/C][C]4.89753[/C][/ROW]
[ROW][C]223[/C][C]5[/C][C]7.95319[/C][C]-2.95319[/C][/ROW]
[ROW][C]224[/C][C]8[/C][C]6.12532[/C][C]1.87468[/C][/ROW]
[ROW][C]225[/C][C]6[/C][C]8.11362[/C][C]-2.11362[/C][/ROW]
[ROW][C]226[/C][C]17[/C][C]7.08914[/C][C]9.91086[/C][/ROW]
[ROW][C]227[/C][C]4[/C][C]4.55124[/C][C]-0.55124[/C][/ROW]
[ROW][C]228[/C][C]5[/C][C]5.80721[/C][C]-0.807213[/C][/ROW]
[ROW][C]229[/C][C]4[/C][C]4.71192[/C][C]-0.711915[/C][/ROW]
[ROW][C]230[/C][C]5[/C][C]5.21895[/C][C]-0.218952[/C][/ROW]
[ROW][C]231[/C][C]5[/C][C]4.81671[/C][C]0.183289[/C][/ROW]
[ROW][C]232[/C][C]6[/C][C]4.16603[/C][C]1.83397[/C][/ROW]
[ROW][C]233[/C][C]4[/C][C]4.02159[/C][C]-0.0215857[/C][/ROW]
[ROW][C]234[/C][C]4[/C][C]4.38615[/C][C]-0.386154[/C][/ROW]
[ROW][C]235[/C][C]4[/C][C]3.98288[/C][C]0.0171213[/C][/ROW]
[ROW][C]236[/C][C]6[/C][C]6.75987[/C][C]-0.759865[/C][/ROW]
[ROW][C]237[/C][C]8[/C][C]3.79211[/C][C]4.20789[/C][/ROW]
[ROW][C]238[/C][C]10[/C][C]6.23421[/C][C]3.76579[/C][/ROW]
[ROW][C]239[/C][C]4[/C][C]10.8756[/C][C]-6.87557[/C][/ROW]
[ROW][C]240[/C][C]5[/C][C]7.1443[/C][C]-2.1443[/C][/ROW]
[ROW][C]241[/C][C]4[/C][C]4.93673[/C][C]-0.936735[/C][/ROW]
[ROW][C]242[/C][C]4[/C][C]4.5237[/C][C]-0.523703[/C][/ROW]
[ROW][C]243[/C][C]4[/C][C]6.54541[/C][C]-2.54541[/C][/ROW]
[ROW][C]244[/C][C]16[/C][C]8.92206[/C][C]7.07794[/C][/ROW]
[ROW][C]245[/C][C]4[/C][C]6.35246[/C][C]-2.35246[/C][/ROW]
[ROW][C]246[/C][C]4[/C][C]4.52809[/C][C]-0.528093[/C][/ROW]
[ROW][C]247[/C][C]4[/C][C]6.51725[/C][C]-2.51725[/C][/ROW]
[ROW][C]248[/C][C]14[/C][C]6.02901[/C][C]7.97099[/C][/ROW]
[ROW][C]249[/C][C]5[/C][C]4.68211[/C][C]0.317892[/C][/ROW]
[ROW][C]250[/C][C]5[/C][C]5.39984[/C][C]-0.399842[/C][/ROW]
[ROW][C]251[/C][C]5[/C][C]6.24147[/C][C]-1.24147[/C][/ROW]
[ROW][C]252[/C][C]5[/C][C]4.99853[/C][C]0.00147222[/C][/ROW]
[ROW][C]253[/C][C]7[/C][C]6.50696[/C][C]0.493036[/C][/ROW]
[ROW][C]254[/C][C]19[/C][C]13.5661[/C][C]5.43387[/C][/ROW]
[ROW][C]255[/C][C]16[/C][C]8.96942[/C][C]7.03058[/C][/ROW]
[ROW][C]256[/C][C]4[/C][C]6.23918[/C][C]-2.23918[/C][/ROW]
[ROW][C]257[/C][C]4[/C][C]7.80683[/C][C]-3.80683[/C][/ROW]
[ROW][C]258[/C][C]7[/C][C]4.15471[/C][C]2.84529[/C][/ROW]
[ROW][C]259[/C][C]9[/C][C]5.44858[/C][C]3.55142[/C][/ROW]
[ROW][C]260[/C][C]5[/C][C]7.25191[/C][C]-2.25191[/C][/ROW]
[ROW][C]261[/C][C]14[/C][C]9.98992[/C][C]4.01008[/C][/ROW]
[ROW][C]262[/C][C]4[/C][C]5.6147[/C][C]-1.6147[/C][/ROW]
[ROW][C]263[/C][C]16[/C][C]9.28942[/C][C]6.71058[/C][/ROW]
[ROW][C]264[/C][C]10[/C][C]6.27438[/C][C]3.72562[/C][/ROW]
[ROW][C]265[/C][C]5[/C][C]5.76477[/C][C]-0.764771[/C][/ROW]
[ROW][C]266[/C][C]6[/C][C]6.10412[/C][C]-0.104124[/C][/ROW]
[ROW][C]267[/C][C]4[/C][C]5.78063[/C][C]-1.78063[/C][/ROW]
[ROW][C]268[/C][C]4[/C][C]4.99623[/C][C]-0.996233[/C][/ROW]
[ROW][C]269[/C][C]4[/C][C]6.78369[/C][C]-2.78369[/C][/ROW]
[ROW][C]270[/C][C]5[/C][C]5.189[/C][C]-0.188997[/C][/ROW]
[ROW][C]271[/C][C]4[/C][C]5.1099[/C][C]-1.1099[/C][/ROW]
[ROW][C]272[/C][C]4[/C][C]5.23859[/C][C]-1.23859[/C][/ROW]
[ROW][C]273[/C][C]5[/C][C]6.25185[/C][C]-1.25185[/C][/ROW]
[ROW][C]274[/C][C]4[/C][C]5.38726[/C][C]-1.38726[/C][/ROW]
[ROW][C]275[/C][C]4[/C][C]6.97401[/C][C]-2.97401[/C][/ROW]
[ROW][C]276[/C][C]5[/C][C]8.24419[/C][C]-3.24419[/C][/ROW]
[ROW][C]277[/C][C]8[/C][C]5.71884[/C][C]2.28116[/C][/ROW]
[ROW][C]278[/C][C]15[/C][C]10.2434[/C][C]4.75665[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265669&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265669&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
149.84478-5.84478
248.15295-4.15295
357.06681-2.06681
446.1216-2.1216
549.01977-5.01977
697.143361.85664
785.387272.61273
8117.858893.14111
944.20215-0.202146
1046.28209-2.28209
1169.00835-3.00835
1245.59465-1.59465
1388.01609-0.0160948
1443.114620.885383
1543.153420.84658
16116.450364.54964
1748.61662-4.61662
1844.98518-0.985181
1966.64168-0.641675
2062.870053.12995
2141.800452.19955
2284.7553.245
2355.47926-0.479264
2445.90099-1.90099
2596.882082.11792
2647.02889-3.02889
2776.443380.556618
28107.241912.75809
2947.63079-3.63079
3044.23293-0.232929
3179.01544-2.01544
32125.97336.0267
3375.745681.25432
3453.629781.37022
3587.453150.546849
3654.981060.0189405
3744.70844-0.708439
3898.598270.401731
3977.05329-0.0532905
4045.58515-1.58515
4148.78537-4.78537
4246.15649-2.15649
4343.108150.891849
4446.16641-2.16641
4576.318180.681817
4646.47898-2.47898
4778.83848-1.83848
4843.757660.242336
4944.90737-0.907369
5047.53472-3.53472
5146.71037-2.71037
5287.136710.863294
5345.41727-1.41727
5444.14222-0.142217
5546.26367-2.26367
5646.30597-2.30597
5776.883210.116787
58127.399664.60034
5945.62914-1.62914
6045.72937-1.72937
6147.36553-3.36553
6253.941411.05859
63156.442178.55783
6457.74945-2.74945
65107.988972.01103
6695.241423.75858
6785.754842.24516
6846.13841-2.13841
6953.603471.39653
7045.73905-1.73905
7196.929382.07062
7246.32273-2.32273
73107.521372.47863
7447.028-3.028
7543.536180.463822
7675.708821.29118
7757.33004-2.33004
7844.97245-0.972446
7946.95863-2.95863
8046.85697-2.85697
8145.96259-1.96259
8244.73424-0.73424
8343.899060.100943
8466.28836-0.288363
85109.081230.918773
8676.486730.513273
8744.37555-0.375545
8844.73924-0.739241
8976.748290.251713
9044.41817-0.418174
9187.289230.71077
92118.322342.67766
9364.592351.40765
94148.726975.27303
9557.09878-2.09878
9646.87654-2.87654
9787.884460.115541
9895.194033.80597
9946.23488-2.23488
10045.50752-1.50752
10156.96941-1.96941
10245.26513-1.26513
10354.519650.480347
10443.007580.992421
10547.451-3.451
10676.475560.524442
107104.573245.42676
10843.961430.0385663
10956.62129-1.62129
11045.08737-1.08737
11145.82912-1.82912
11246.48543-2.48543
11366.99583-0.995829
11448.00029-4.00029
11588.42421-0.424206
11657.01023-2.01023
11742.792211.20779
118178.306848.69316
11944.35936-0.359364
12043.431170.568826
12186.916681.08332
12247.46779-3.46779
12377.92148-0.921481
12444.04915-0.0491478
12547.33208-3.33208
12655.22812-0.228121
12777.70268-0.702676
12845.1097-1.1097
12943.59670.403302
13077.9251-0.925099
131119.253031.74697
13275.558141.44186
13342.534091.46591
13447.25187-3.25187
13547.13611-3.13611
13648.15648-4.15648
13747.9461-3.9461
13844.44613-0.446133
13966.471-0.471003
14084.540713.45929
1412312.044210.9558
14244.15286-0.152856
14385.101822.89818
14465.523450.476548
14544.66623-0.66623
14677.72601-0.726007
14745.98755-1.98755
14848.28034-4.28034
14948.89665-4.89665
150104.67665.3234
15161.627474.37253
15255.7729-0.772896
15357.72944-2.72944
15447.60964-3.60964
15543.89190.108098
15653.752121.24788
15755.55211-0.552108
15855.6591-0.659101
15956.12608-1.12608
16046.2727-2.2727
16165.844560.155439
16244.28774-0.287743
16344.80099-0.800994
16448.36897-4.36897
16598.741680.258315
166188.676619.32339
16766.07778-0.0777834
16855.98286-0.982856
16944.2845-0.2845
170118.391592.60841
17144.83273-0.83273
172105.118054.88195
17366.70042-0.700417
17485.446262.55374
17587.026290.973712
17665.831450.168554
17787.669940.33006
17849.48892-5.48892
17946.73067-2.73067
18096.000722.99928
18195.012553.98745
18256.90606-1.90606
18345.61549-1.61549
18446.02777-2.02777
185159.695695.30431
186105.68814.3119
18795.585163.41484
18875.630361.36964
18996.154552.84545
19063.910742.08926
19148.34113-4.34113
19276.869590.13041
19344.38551-0.385509
19477.80965-0.809649
19544.32582-0.325819
196159.950875.04913
19746.56137-2.56137
19898.427520.572483
19944.00348-0.00347837
20045.13018-1.13018
2012819.37138.62875
20248.55381-4.55381
20344.94539-0.945393
20446.71914-2.71914
20555.40648-0.406482
20645.1551-1.1551
20741.95212.0479
208128.933373.06663
20955.73938-0.739376
21063.556352.44365
21165.12290.877096
21253.499731.50027
21346.23623-2.23623
21443.102410.897589
21544.20197-0.201972
216108.847161.15284
21778.63988-1.63988
21846.75419-2.75419
21977.45084-0.450842
22047.45432-3.45432
22144.50816-0.508163
222127.102474.89753
22357.95319-2.95319
22486.125321.87468
22568.11362-2.11362
226177.089149.91086
22744.55124-0.55124
22855.80721-0.807213
22944.71192-0.711915
23055.21895-0.218952
23154.816710.183289
23264.166031.83397
23344.02159-0.0215857
23444.38615-0.386154
23543.982880.0171213
23666.75987-0.759865
23783.792114.20789
238106.234213.76579
239410.8756-6.87557
24057.1443-2.1443
24144.93673-0.936735
24244.5237-0.523703
24346.54541-2.54541
244168.922067.07794
24546.35246-2.35246
24644.52809-0.528093
24746.51725-2.51725
248146.029017.97099
24954.682110.317892
25055.39984-0.399842
25156.24147-1.24147
25254.998530.00147222
25376.506960.493036
2541913.56615.43387
255168.969427.03058
25646.23918-2.23918
25747.80683-3.80683
25874.154712.84529
25995.448583.55142
26057.25191-2.25191
261149.989924.01008
26245.6147-1.6147
263169.289426.71058
264106.274383.72562
26555.76477-0.764771
26666.10412-0.104124
26745.78063-1.78063
26844.99623-0.996233
26946.78369-2.78369
27055.189-0.188997
27145.1099-1.1099
27245.23859-1.23859
27356.25185-1.25185
27445.38726-1.38726
27546.97401-2.97401
27658.24419-3.24419
27785.718842.28116
2781510.24344.75665






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
110.3304860.6609710.669514
120.400680.8013610.59932
130.3095220.6190440.690478
140.5223990.9552010.477601
150.403730.8074590.59627
160.5881640.8236720.411836
170.599190.8016190.40081
180.5047170.9905660.495283
190.4182410.8364820.581759
200.3437770.6875550.656223
210.2884410.5768810.711559
220.2249530.4499060.775047
230.1748860.3497720.825114
240.2031710.4063410.796829
250.1685930.3371870.831407
260.1479030.2958060.852097
270.1124960.2249920.887504
280.09687940.1937590.903121
290.08598420.1719680.914016
300.08115680.1623140.918843
310.07435530.1487110.925645
320.1481990.2963980.851801
330.1547770.3095530.845223
340.1316970.2633940.868303
350.1058830.2117660.894117
360.08108190.1621640.918918
370.08558490.171170.914415
380.06730970.1346190.93269
390.05556360.1111270.944436
400.05872550.1174510.941275
410.04908640.09817280.950914
420.04500210.09000420.954998
430.03639880.07279760.963601
440.02907530.05815070.970925
450.02448940.04897880.975511
460.02319230.04638470.976808
470.0172440.0344880.982756
480.01286740.02573480.987133
490.0138620.02772410.986138
500.01602110.03204220.983979
510.01452170.02904340.985478
520.01514190.03028370.984858
530.01134620.02269230.988654
540.008590040.01718010.99141
550.008532770.01706550.991467
560.007131420.01426280.992869
570.006895320.01379060.993105
580.01583870.03167750.984161
590.0136120.0272240.986388
600.01272740.02545470.987273
610.0120480.0240960.987952
620.008946230.01789250.991054
630.1303420.2606850.869658
640.1216140.2432290.878386
650.1382150.276430.861785
660.1570510.3141030.842949
670.1462080.2924160.853792
680.1324590.2649180.867541
690.1124580.2249160.887542
700.1002040.2004070.899796
710.09768830.1953770.902312
720.09333730.1866750.906663
730.1045690.2091380.895431
740.09878280.1975660.901217
750.08456440.1691290.915436
760.07325480.146510.926745
770.06435740.1287150.935643
780.05366490.107330.946335
790.05221310.1044260.947787
800.05096660.1019330.949033
810.04567970.09135930.95432
820.03874450.07748890.961256
830.03118250.06236490.968818
840.02491020.04982050.97509
850.02547570.05095130.974524
860.0207830.0415660.979217
870.01666690.03333380.983333
880.01357060.02714120.986429
890.01072360.02144730.989276
900.008466480.0169330.991534
910.007014920.01402980.992985
920.008222630.01644530.991777
930.006610890.01322180.993389
940.0174310.0348620.982569
950.01496980.02993970.98503
960.01454290.02908590.985457
970.01174010.02348030.98826
980.01425670.02851340.985743
990.01237470.02474950.987625
1000.01070280.02140560.989297
1010.009082540.01816510.990917
1020.007419610.01483920.99258
1030.005734440.01146890.994266
1040.004415960.008831920.995584
1050.004637140.009274280.995363
1060.003646750.00729350.996353
1070.007605110.01521020.992395
1080.006032320.01206460.993968
1090.005043880.01008780.994956
1100.004043950.00808790.995956
1110.003406180.006812350.996594
1120.003132140.006264280.996868
1130.002499680.004999360.9975
1140.002676060.005352120.997324
1150.002091090.004182180.997909
1160.001681910.003363830.998318
1170.001304440.002608880.998696
1180.01740250.03480510.982597
1190.01394650.02789310.986053
1200.0111850.022370.988815
1210.009522680.01904540.990477
1220.01019320.02038630.989807
1230.008208960.01641790.991791
1240.006494580.01298920.993505
1250.007062320.01412460.992938
1260.00553470.01106940.994465
1270.004546780.009093570.995453
1280.003707550.007415090.996292
1290.002870260.005740530.99713
1300.002213080.004426170.997787
1310.002078160.004156320.997922
1320.001703920.003407840.998296
1330.001336610.002673210.998663
1340.001393560.002787110.998606
1350.001497670.002995340.998502
1360.001932710.003865420.998067
1370.002198240.004396470.997802
1380.001756310.003512620.998244
1390.001327520.002655040.998672
1400.00154410.003088190.998456
1410.06253320.1250660.937467
1420.05255550.1051110.947444
1430.05228350.1045670.947716
1440.0441290.0882580.955871
1450.03695920.07391840.963041
1460.03067740.06135480.969323
1470.02770540.05541080.972295
1480.03556630.07113260.964434
1490.05162290.1032460.948377
1500.08237620.1647520.917624
1510.0901750.180350.909825
1520.07741660.1548330.922583
1530.07556940.1511390.924431
1540.08283980.165680.91716
1550.07098590.1419720.929014
1560.0627570.1255140.937243
1570.05279740.1055950.947203
1580.04478740.08957480.955213
1590.0383010.07660190.961699
1600.03680590.07361180.963194
1610.03034510.06069010.969655
1620.02483810.04967620.975162
1630.02051610.04103220.979484
1640.02532880.05065750.974671
1650.02157080.04314170.978429
1660.1215520.2431040.878448
1670.1045170.2090340.895483
1680.09159580.1831920.908404
1690.07786450.1557290.922135
1700.07571140.1514230.924289
1710.06472930.1294590.935271
1720.09091150.1818230.909088
1730.07853030.1570610.92147
1740.07578320.1515660.924217
1750.06509250.1301850.934908
1760.05444650.1088930.945553
1770.04547070.09094150.954529
1780.07817060.1563410.921829
1790.07999990.160.92
1800.07814770.1562950.921852
1810.09059190.1811840.909408
1820.08386430.1677290.916136
1830.07772130.1554430.922279
1840.07421040.1484210.92579
1850.0995150.199030.900485
1860.1225110.2450210.877489
1870.1291180.2582350.870882
1880.1134150.2268290.886585
1890.1109770.2219540.889023
1900.1028340.2056690.897166
1910.141770.283540.85823
1920.1219080.2438170.878092
1930.1040870.2081740.895913
1940.09037520.180750.909625
1950.0764310.1528620.923569
1960.1052940.2105880.894706
1970.1103390.2206780.889661
1980.09391990.187840.90608
1990.08010510.160210.919895
2000.06777290.1355460.932227
2010.2084080.4168160.791592
2020.2217480.4434960.778252
2030.195850.3917010.80415
2040.2044440.4088880.795556
2050.182440.364880.81756
2060.170520.341040.82948
2070.1592220.3184440.840778
2080.1532440.3064880.846756
2090.1321950.264390.867805
2100.1223260.2446510.877674
2110.1056070.2112140.894393
2120.09433780.1886760.905662
2130.0952680.1905360.904732
2140.08027910.1605580.919721
2150.06620730.1324150.933793
2160.05655760.1131150.943442
2170.05613410.1122680.943866
2180.06721210.1344240.932788
2190.07414220.1482840.925858
2200.08488960.1697790.91511
2210.06963460.1392690.930365
2220.09071310.1814260.909287
2230.09365750.1873150.906342
2240.07904060.1580810.920959
2250.07843730.1568750.921563
2260.3112930.6225860.688707
2270.2805450.561090.719455
2280.2432370.4864740.756763
2290.2086710.4173410.791329
2300.1762020.3524040.823798
2310.1564550.3129110.843545
2320.133130.2662610.86687
2330.1087160.2174310.891284
2340.08879340.1775870.911207
2350.07083660.1416730.929163
2360.05561520.111230.944385
2370.07219570.1443910.927804
2380.07079770.1415950.929202
2390.211020.4220410.78898
2400.1984490.3968980.801551
2410.164060.328120.83594
2420.13780.27560.8622
2430.1227320.2454650.877268
2440.2542130.5084260.745787
2450.2186410.4372820.781359
2460.1785820.3571650.821418
2470.1653610.3307230.834639
2480.4044350.808870.595565
2490.362060.7241210.63794
2500.3043370.6086750.695663
2510.2765620.5531240.723438
2520.2238640.4477280.776136
2530.1781710.3563420.821829
2540.1489350.2978710.851065
2550.2301080.4602160.769892
2560.197420.394840.80258
2570.3829720.7659440.617028
2580.3517660.7035320.648234
2590.4909770.9819540.509023
2600.657940.6841210.34206
2610.5698680.8602640.430132
2620.496830.993660.50317
2630.486290.9725790.51371
2640.6904840.6190320.309516
2650.570930.858140.42907
2660.630060.7398790.36994
2670.4616480.9232960.538352

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
11 & 0.330486 & 0.660971 & 0.669514 \tabularnewline
12 & 0.40068 & 0.801361 & 0.59932 \tabularnewline
13 & 0.309522 & 0.619044 & 0.690478 \tabularnewline
14 & 0.522399 & 0.955201 & 0.477601 \tabularnewline
15 & 0.40373 & 0.807459 & 0.59627 \tabularnewline
16 & 0.588164 & 0.823672 & 0.411836 \tabularnewline
17 & 0.59919 & 0.801619 & 0.40081 \tabularnewline
18 & 0.504717 & 0.990566 & 0.495283 \tabularnewline
19 & 0.418241 & 0.836482 & 0.581759 \tabularnewline
20 & 0.343777 & 0.687555 & 0.656223 \tabularnewline
21 & 0.288441 & 0.576881 & 0.711559 \tabularnewline
22 & 0.224953 & 0.449906 & 0.775047 \tabularnewline
23 & 0.174886 & 0.349772 & 0.825114 \tabularnewline
24 & 0.203171 & 0.406341 & 0.796829 \tabularnewline
25 & 0.168593 & 0.337187 & 0.831407 \tabularnewline
26 & 0.147903 & 0.295806 & 0.852097 \tabularnewline
27 & 0.112496 & 0.224992 & 0.887504 \tabularnewline
28 & 0.0968794 & 0.193759 & 0.903121 \tabularnewline
29 & 0.0859842 & 0.171968 & 0.914016 \tabularnewline
30 & 0.0811568 & 0.162314 & 0.918843 \tabularnewline
31 & 0.0743553 & 0.148711 & 0.925645 \tabularnewline
32 & 0.148199 & 0.296398 & 0.851801 \tabularnewline
33 & 0.154777 & 0.309553 & 0.845223 \tabularnewline
34 & 0.131697 & 0.263394 & 0.868303 \tabularnewline
35 & 0.105883 & 0.211766 & 0.894117 \tabularnewline
36 & 0.0810819 & 0.162164 & 0.918918 \tabularnewline
37 & 0.0855849 & 0.17117 & 0.914415 \tabularnewline
38 & 0.0673097 & 0.134619 & 0.93269 \tabularnewline
39 & 0.0555636 & 0.111127 & 0.944436 \tabularnewline
40 & 0.0587255 & 0.117451 & 0.941275 \tabularnewline
41 & 0.0490864 & 0.0981728 & 0.950914 \tabularnewline
42 & 0.0450021 & 0.0900042 & 0.954998 \tabularnewline
43 & 0.0363988 & 0.0727976 & 0.963601 \tabularnewline
44 & 0.0290753 & 0.0581507 & 0.970925 \tabularnewline
45 & 0.0244894 & 0.0489788 & 0.975511 \tabularnewline
46 & 0.0231923 & 0.0463847 & 0.976808 \tabularnewline
47 & 0.017244 & 0.034488 & 0.982756 \tabularnewline
48 & 0.0128674 & 0.0257348 & 0.987133 \tabularnewline
49 & 0.013862 & 0.0277241 & 0.986138 \tabularnewline
50 & 0.0160211 & 0.0320422 & 0.983979 \tabularnewline
51 & 0.0145217 & 0.0290434 & 0.985478 \tabularnewline
52 & 0.0151419 & 0.0302837 & 0.984858 \tabularnewline
53 & 0.0113462 & 0.0226923 & 0.988654 \tabularnewline
54 & 0.00859004 & 0.0171801 & 0.99141 \tabularnewline
55 & 0.00853277 & 0.0170655 & 0.991467 \tabularnewline
56 & 0.00713142 & 0.0142628 & 0.992869 \tabularnewline
57 & 0.00689532 & 0.0137906 & 0.993105 \tabularnewline
58 & 0.0158387 & 0.0316775 & 0.984161 \tabularnewline
59 & 0.013612 & 0.027224 & 0.986388 \tabularnewline
60 & 0.0127274 & 0.0254547 & 0.987273 \tabularnewline
61 & 0.012048 & 0.024096 & 0.987952 \tabularnewline
62 & 0.00894623 & 0.0178925 & 0.991054 \tabularnewline
63 & 0.130342 & 0.260685 & 0.869658 \tabularnewline
64 & 0.121614 & 0.243229 & 0.878386 \tabularnewline
65 & 0.138215 & 0.27643 & 0.861785 \tabularnewline
66 & 0.157051 & 0.314103 & 0.842949 \tabularnewline
67 & 0.146208 & 0.292416 & 0.853792 \tabularnewline
68 & 0.132459 & 0.264918 & 0.867541 \tabularnewline
69 & 0.112458 & 0.224916 & 0.887542 \tabularnewline
70 & 0.100204 & 0.200407 & 0.899796 \tabularnewline
71 & 0.0976883 & 0.195377 & 0.902312 \tabularnewline
72 & 0.0933373 & 0.186675 & 0.906663 \tabularnewline
73 & 0.104569 & 0.209138 & 0.895431 \tabularnewline
74 & 0.0987828 & 0.197566 & 0.901217 \tabularnewline
75 & 0.0845644 & 0.169129 & 0.915436 \tabularnewline
76 & 0.0732548 & 0.14651 & 0.926745 \tabularnewline
77 & 0.0643574 & 0.128715 & 0.935643 \tabularnewline
78 & 0.0536649 & 0.10733 & 0.946335 \tabularnewline
79 & 0.0522131 & 0.104426 & 0.947787 \tabularnewline
80 & 0.0509666 & 0.101933 & 0.949033 \tabularnewline
81 & 0.0456797 & 0.0913593 & 0.95432 \tabularnewline
82 & 0.0387445 & 0.0774889 & 0.961256 \tabularnewline
83 & 0.0311825 & 0.0623649 & 0.968818 \tabularnewline
84 & 0.0249102 & 0.0498205 & 0.97509 \tabularnewline
85 & 0.0254757 & 0.0509513 & 0.974524 \tabularnewline
86 & 0.020783 & 0.041566 & 0.979217 \tabularnewline
87 & 0.0166669 & 0.0333338 & 0.983333 \tabularnewline
88 & 0.0135706 & 0.0271412 & 0.986429 \tabularnewline
89 & 0.0107236 & 0.0214473 & 0.989276 \tabularnewline
90 & 0.00846648 & 0.016933 & 0.991534 \tabularnewline
91 & 0.00701492 & 0.0140298 & 0.992985 \tabularnewline
92 & 0.00822263 & 0.0164453 & 0.991777 \tabularnewline
93 & 0.00661089 & 0.0132218 & 0.993389 \tabularnewline
94 & 0.017431 & 0.034862 & 0.982569 \tabularnewline
95 & 0.0149698 & 0.0299397 & 0.98503 \tabularnewline
96 & 0.0145429 & 0.0290859 & 0.985457 \tabularnewline
97 & 0.0117401 & 0.0234803 & 0.98826 \tabularnewline
98 & 0.0142567 & 0.0285134 & 0.985743 \tabularnewline
99 & 0.0123747 & 0.0247495 & 0.987625 \tabularnewline
100 & 0.0107028 & 0.0214056 & 0.989297 \tabularnewline
101 & 0.00908254 & 0.0181651 & 0.990917 \tabularnewline
102 & 0.00741961 & 0.0148392 & 0.99258 \tabularnewline
103 & 0.00573444 & 0.0114689 & 0.994266 \tabularnewline
104 & 0.00441596 & 0.00883192 & 0.995584 \tabularnewline
105 & 0.00463714 & 0.00927428 & 0.995363 \tabularnewline
106 & 0.00364675 & 0.0072935 & 0.996353 \tabularnewline
107 & 0.00760511 & 0.0152102 & 0.992395 \tabularnewline
108 & 0.00603232 & 0.0120646 & 0.993968 \tabularnewline
109 & 0.00504388 & 0.0100878 & 0.994956 \tabularnewline
110 & 0.00404395 & 0.0080879 & 0.995956 \tabularnewline
111 & 0.00340618 & 0.00681235 & 0.996594 \tabularnewline
112 & 0.00313214 & 0.00626428 & 0.996868 \tabularnewline
113 & 0.00249968 & 0.00499936 & 0.9975 \tabularnewline
114 & 0.00267606 & 0.00535212 & 0.997324 \tabularnewline
115 & 0.00209109 & 0.00418218 & 0.997909 \tabularnewline
116 & 0.00168191 & 0.00336383 & 0.998318 \tabularnewline
117 & 0.00130444 & 0.00260888 & 0.998696 \tabularnewline
118 & 0.0174025 & 0.0348051 & 0.982597 \tabularnewline
119 & 0.0139465 & 0.0278931 & 0.986053 \tabularnewline
120 & 0.011185 & 0.02237 & 0.988815 \tabularnewline
121 & 0.00952268 & 0.0190454 & 0.990477 \tabularnewline
122 & 0.0101932 & 0.0203863 & 0.989807 \tabularnewline
123 & 0.00820896 & 0.0164179 & 0.991791 \tabularnewline
124 & 0.00649458 & 0.0129892 & 0.993505 \tabularnewline
125 & 0.00706232 & 0.0141246 & 0.992938 \tabularnewline
126 & 0.0055347 & 0.0110694 & 0.994465 \tabularnewline
127 & 0.00454678 & 0.00909357 & 0.995453 \tabularnewline
128 & 0.00370755 & 0.00741509 & 0.996292 \tabularnewline
129 & 0.00287026 & 0.00574053 & 0.99713 \tabularnewline
130 & 0.00221308 & 0.00442617 & 0.997787 \tabularnewline
131 & 0.00207816 & 0.00415632 & 0.997922 \tabularnewline
132 & 0.00170392 & 0.00340784 & 0.998296 \tabularnewline
133 & 0.00133661 & 0.00267321 & 0.998663 \tabularnewline
134 & 0.00139356 & 0.00278711 & 0.998606 \tabularnewline
135 & 0.00149767 & 0.00299534 & 0.998502 \tabularnewline
136 & 0.00193271 & 0.00386542 & 0.998067 \tabularnewline
137 & 0.00219824 & 0.00439647 & 0.997802 \tabularnewline
138 & 0.00175631 & 0.00351262 & 0.998244 \tabularnewline
139 & 0.00132752 & 0.00265504 & 0.998672 \tabularnewline
140 & 0.0015441 & 0.00308819 & 0.998456 \tabularnewline
141 & 0.0625332 & 0.125066 & 0.937467 \tabularnewline
142 & 0.0525555 & 0.105111 & 0.947444 \tabularnewline
143 & 0.0522835 & 0.104567 & 0.947716 \tabularnewline
144 & 0.044129 & 0.088258 & 0.955871 \tabularnewline
145 & 0.0369592 & 0.0739184 & 0.963041 \tabularnewline
146 & 0.0306774 & 0.0613548 & 0.969323 \tabularnewline
147 & 0.0277054 & 0.0554108 & 0.972295 \tabularnewline
148 & 0.0355663 & 0.0711326 & 0.964434 \tabularnewline
149 & 0.0516229 & 0.103246 & 0.948377 \tabularnewline
150 & 0.0823762 & 0.164752 & 0.917624 \tabularnewline
151 & 0.090175 & 0.18035 & 0.909825 \tabularnewline
152 & 0.0774166 & 0.154833 & 0.922583 \tabularnewline
153 & 0.0755694 & 0.151139 & 0.924431 \tabularnewline
154 & 0.0828398 & 0.16568 & 0.91716 \tabularnewline
155 & 0.0709859 & 0.141972 & 0.929014 \tabularnewline
156 & 0.062757 & 0.125514 & 0.937243 \tabularnewline
157 & 0.0527974 & 0.105595 & 0.947203 \tabularnewline
158 & 0.0447874 & 0.0895748 & 0.955213 \tabularnewline
159 & 0.038301 & 0.0766019 & 0.961699 \tabularnewline
160 & 0.0368059 & 0.0736118 & 0.963194 \tabularnewline
161 & 0.0303451 & 0.0606901 & 0.969655 \tabularnewline
162 & 0.0248381 & 0.0496762 & 0.975162 \tabularnewline
163 & 0.0205161 & 0.0410322 & 0.979484 \tabularnewline
164 & 0.0253288 & 0.0506575 & 0.974671 \tabularnewline
165 & 0.0215708 & 0.0431417 & 0.978429 \tabularnewline
166 & 0.121552 & 0.243104 & 0.878448 \tabularnewline
167 & 0.104517 & 0.209034 & 0.895483 \tabularnewline
168 & 0.0915958 & 0.183192 & 0.908404 \tabularnewline
169 & 0.0778645 & 0.155729 & 0.922135 \tabularnewline
170 & 0.0757114 & 0.151423 & 0.924289 \tabularnewline
171 & 0.0647293 & 0.129459 & 0.935271 \tabularnewline
172 & 0.0909115 & 0.181823 & 0.909088 \tabularnewline
173 & 0.0785303 & 0.157061 & 0.92147 \tabularnewline
174 & 0.0757832 & 0.151566 & 0.924217 \tabularnewline
175 & 0.0650925 & 0.130185 & 0.934908 \tabularnewline
176 & 0.0544465 & 0.108893 & 0.945553 \tabularnewline
177 & 0.0454707 & 0.0909415 & 0.954529 \tabularnewline
178 & 0.0781706 & 0.156341 & 0.921829 \tabularnewline
179 & 0.0799999 & 0.16 & 0.92 \tabularnewline
180 & 0.0781477 & 0.156295 & 0.921852 \tabularnewline
181 & 0.0905919 & 0.181184 & 0.909408 \tabularnewline
182 & 0.0838643 & 0.167729 & 0.916136 \tabularnewline
183 & 0.0777213 & 0.155443 & 0.922279 \tabularnewline
184 & 0.0742104 & 0.148421 & 0.92579 \tabularnewline
185 & 0.099515 & 0.19903 & 0.900485 \tabularnewline
186 & 0.122511 & 0.245021 & 0.877489 \tabularnewline
187 & 0.129118 & 0.258235 & 0.870882 \tabularnewline
188 & 0.113415 & 0.226829 & 0.886585 \tabularnewline
189 & 0.110977 & 0.221954 & 0.889023 \tabularnewline
190 & 0.102834 & 0.205669 & 0.897166 \tabularnewline
191 & 0.14177 & 0.28354 & 0.85823 \tabularnewline
192 & 0.121908 & 0.243817 & 0.878092 \tabularnewline
193 & 0.104087 & 0.208174 & 0.895913 \tabularnewline
194 & 0.0903752 & 0.18075 & 0.909625 \tabularnewline
195 & 0.076431 & 0.152862 & 0.923569 \tabularnewline
196 & 0.105294 & 0.210588 & 0.894706 \tabularnewline
197 & 0.110339 & 0.220678 & 0.889661 \tabularnewline
198 & 0.0939199 & 0.18784 & 0.90608 \tabularnewline
199 & 0.0801051 & 0.16021 & 0.919895 \tabularnewline
200 & 0.0677729 & 0.135546 & 0.932227 \tabularnewline
201 & 0.208408 & 0.416816 & 0.791592 \tabularnewline
202 & 0.221748 & 0.443496 & 0.778252 \tabularnewline
203 & 0.19585 & 0.391701 & 0.80415 \tabularnewline
204 & 0.204444 & 0.408888 & 0.795556 \tabularnewline
205 & 0.18244 & 0.36488 & 0.81756 \tabularnewline
206 & 0.17052 & 0.34104 & 0.82948 \tabularnewline
207 & 0.159222 & 0.318444 & 0.840778 \tabularnewline
208 & 0.153244 & 0.306488 & 0.846756 \tabularnewline
209 & 0.132195 & 0.26439 & 0.867805 \tabularnewline
210 & 0.122326 & 0.244651 & 0.877674 \tabularnewline
211 & 0.105607 & 0.211214 & 0.894393 \tabularnewline
212 & 0.0943378 & 0.188676 & 0.905662 \tabularnewline
213 & 0.095268 & 0.190536 & 0.904732 \tabularnewline
214 & 0.0802791 & 0.160558 & 0.919721 \tabularnewline
215 & 0.0662073 & 0.132415 & 0.933793 \tabularnewline
216 & 0.0565576 & 0.113115 & 0.943442 \tabularnewline
217 & 0.0561341 & 0.112268 & 0.943866 \tabularnewline
218 & 0.0672121 & 0.134424 & 0.932788 \tabularnewline
219 & 0.0741422 & 0.148284 & 0.925858 \tabularnewline
220 & 0.0848896 & 0.169779 & 0.91511 \tabularnewline
221 & 0.0696346 & 0.139269 & 0.930365 \tabularnewline
222 & 0.0907131 & 0.181426 & 0.909287 \tabularnewline
223 & 0.0936575 & 0.187315 & 0.906342 \tabularnewline
224 & 0.0790406 & 0.158081 & 0.920959 \tabularnewline
225 & 0.0784373 & 0.156875 & 0.921563 \tabularnewline
226 & 0.311293 & 0.622586 & 0.688707 \tabularnewline
227 & 0.280545 & 0.56109 & 0.719455 \tabularnewline
228 & 0.243237 & 0.486474 & 0.756763 \tabularnewline
229 & 0.208671 & 0.417341 & 0.791329 \tabularnewline
230 & 0.176202 & 0.352404 & 0.823798 \tabularnewline
231 & 0.156455 & 0.312911 & 0.843545 \tabularnewline
232 & 0.13313 & 0.266261 & 0.86687 \tabularnewline
233 & 0.108716 & 0.217431 & 0.891284 \tabularnewline
234 & 0.0887934 & 0.177587 & 0.911207 \tabularnewline
235 & 0.0708366 & 0.141673 & 0.929163 \tabularnewline
236 & 0.0556152 & 0.11123 & 0.944385 \tabularnewline
237 & 0.0721957 & 0.144391 & 0.927804 \tabularnewline
238 & 0.0707977 & 0.141595 & 0.929202 \tabularnewline
239 & 0.21102 & 0.422041 & 0.78898 \tabularnewline
240 & 0.198449 & 0.396898 & 0.801551 \tabularnewline
241 & 0.16406 & 0.32812 & 0.83594 \tabularnewline
242 & 0.1378 & 0.2756 & 0.8622 \tabularnewline
243 & 0.122732 & 0.245465 & 0.877268 \tabularnewline
244 & 0.254213 & 0.508426 & 0.745787 \tabularnewline
245 & 0.218641 & 0.437282 & 0.781359 \tabularnewline
246 & 0.178582 & 0.357165 & 0.821418 \tabularnewline
247 & 0.165361 & 0.330723 & 0.834639 \tabularnewline
248 & 0.404435 & 0.80887 & 0.595565 \tabularnewline
249 & 0.36206 & 0.724121 & 0.63794 \tabularnewline
250 & 0.304337 & 0.608675 & 0.695663 \tabularnewline
251 & 0.276562 & 0.553124 & 0.723438 \tabularnewline
252 & 0.223864 & 0.447728 & 0.776136 \tabularnewline
253 & 0.178171 & 0.356342 & 0.821829 \tabularnewline
254 & 0.148935 & 0.297871 & 0.851065 \tabularnewline
255 & 0.230108 & 0.460216 & 0.769892 \tabularnewline
256 & 0.19742 & 0.39484 & 0.80258 \tabularnewline
257 & 0.382972 & 0.765944 & 0.617028 \tabularnewline
258 & 0.351766 & 0.703532 & 0.648234 \tabularnewline
259 & 0.490977 & 0.981954 & 0.509023 \tabularnewline
260 & 0.65794 & 0.684121 & 0.34206 \tabularnewline
261 & 0.569868 & 0.860264 & 0.430132 \tabularnewline
262 & 0.49683 & 0.99366 & 0.50317 \tabularnewline
263 & 0.48629 & 0.972579 & 0.51371 \tabularnewline
264 & 0.690484 & 0.619032 & 0.309516 \tabularnewline
265 & 0.57093 & 0.85814 & 0.42907 \tabularnewline
266 & 0.63006 & 0.739879 & 0.36994 \tabularnewline
267 & 0.461648 & 0.923296 & 0.538352 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265669&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]11[/C][C]0.330486[/C][C]0.660971[/C][C]0.669514[/C][/ROW]
[ROW][C]12[/C][C]0.40068[/C][C]0.801361[/C][C]0.59932[/C][/ROW]
[ROW][C]13[/C][C]0.309522[/C][C]0.619044[/C][C]0.690478[/C][/ROW]
[ROW][C]14[/C][C]0.522399[/C][C]0.955201[/C][C]0.477601[/C][/ROW]
[ROW][C]15[/C][C]0.40373[/C][C]0.807459[/C][C]0.59627[/C][/ROW]
[ROW][C]16[/C][C]0.588164[/C][C]0.823672[/C][C]0.411836[/C][/ROW]
[ROW][C]17[/C][C]0.59919[/C][C]0.801619[/C][C]0.40081[/C][/ROW]
[ROW][C]18[/C][C]0.504717[/C][C]0.990566[/C][C]0.495283[/C][/ROW]
[ROW][C]19[/C][C]0.418241[/C][C]0.836482[/C][C]0.581759[/C][/ROW]
[ROW][C]20[/C][C]0.343777[/C][C]0.687555[/C][C]0.656223[/C][/ROW]
[ROW][C]21[/C][C]0.288441[/C][C]0.576881[/C][C]0.711559[/C][/ROW]
[ROW][C]22[/C][C]0.224953[/C][C]0.449906[/C][C]0.775047[/C][/ROW]
[ROW][C]23[/C][C]0.174886[/C][C]0.349772[/C][C]0.825114[/C][/ROW]
[ROW][C]24[/C][C]0.203171[/C][C]0.406341[/C][C]0.796829[/C][/ROW]
[ROW][C]25[/C][C]0.168593[/C][C]0.337187[/C][C]0.831407[/C][/ROW]
[ROW][C]26[/C][C]0.147903[/C][C]0.295806[/C][C]0.852097[/C][/ROW]
[ROW][C]27[/C][C]0.112496[/C][C]0.224992[/C][C]0.887504[/C][/ROW]
[ROW][C]28[/C][C]0.0968794[/C][C]0.193759[/C][C]0.903121[/C][/ROW]
[ROW][C]29[/C][C]0.0859842[/C][C]0.171968[/C][C]0.914016[/C][/ROW]
[ROW][C]30[/C][C]0.0811568[/C][C]0.162314[/C][C]0.918843[/C][/ROW]
[ROW][C]31[/C][C]0.0743553[/C][C]0.148711[/C][C]0.925645[/C][/ROW]
[ROW][C]32[/C][C]0.148199[/C][C]0.296398[/C][C]0.851801[/C][/ROW]
[ROW][C]33[/C][C]0.154777[/C][C]0.309553[/C][C]0.845223[/C][/ROW]
[ROW][C]34[/C][C]0.131697[/C][C]0.263394[/C][C]0.868303[/C][/ROW]
[ROW][C]35[/C][C]0.105883[/C][C]0.211766[/C][C]0.894117[/C][/ROW]
[ROW][C]36[/C][C]0.0810819[/C][C]0.162164[/C][C]0.918918[/C][/ROW]
[ROW][C]37[/C][C]0.0855849[/C][C]0.17117[/C][C]0.914415[/C][/ROW]
[ROW][C]38[/C][C]0.0673097[/C][C]0.134619[/C][C]0.93269[/C][/ROW]
[ROW][C]39[/C][C]0.0555636[/C][C]0.111127[/C][C]0.944436[/C][/ROW]
[ROW][C]40[/C][C]0.0587255[/C][C]0.117451[/C][C]0.941275[/C][/ROW]
[ROW][C]41[/C][C]0.0490864[/C][C]0.0981728[/C][C]0.950914[/C][/ROW]
[ROW][C]42[/C][C]0.0450021[/C][C]0.0900042[/C][C]0.954998[/C][/ROW]
[ROW][C]43[/C][C]0.0363988[/C][C]0.0727976[/C][C]0.963601[/C][/ROW]
[ROW][C]44[/C][C]0.0290753[/C][C]0.0581507[/C][C]0.970925[/C][/ROW]
[ROW][C]45[/C][C]0.0244894[/C][C]0.0489788[/C][C]0.975511[/C][/ROW]
[ROW][C]46[/C][C]0.0231923[/C][C]0.0463847[/C][C]0.976808[/C][/ROW]
[ROW][C]47[/C][C]0.017244[/C][C]0.034488[/C][C]0.982756[/C][/ROW]
[ROW][C]48[/C][C]0.0128674[/C][C]0.0257348[/C][C]0.987133[/C][/ROW]
[ROW][C]49[/C][C]0.013862[/C][C]0.0277241[/C][C]0.986138[/C][/ROW]
[ROW][C]50[/C][C]0.0160211[/C][C]0.0320422[/C][C]0.983979[/C][/ROW]
[ROW][C]51[/C][C]0.0145217[/C][C]0.0290434[/C][C]0.985478[/C][/ROW]
[ROW][C]52[/C][C]0.0151419[/C][C]0.0302837[/C][C]0.984858[/C][/ROW]
[ROW][C]53[/C][C]0.0113462[/C][C]0.0226923[/C][C]0.988654[/C][/ROW]
[ROW][C]54[/C][C]0.00859004[/C][C]0.0171801[/C][C]0.99141[/C][/ROW]
[ROW][C]55[/C][C]0.00853277[/C][C]0.0170655[/C][C]0.991467[/C][/ROW]
[ROW][C]56[/C][C]0.00713142[/C][C]0.0142628[/C][C]0.992869[/C][/ROW]
[ROW][C]57[/C][C]0.00689532[/C][C]0.0137906[/C][C]0.993105[/C][/ROW]
[ROW][C]58[/C][C]0.0158387[/C][C]0.0316775[/C][C]0.984161[/C][/ROW]
[ROW][C]59[/C][C]0.013612[/C][C]0.027224[/C][C]0.986388[/C][/ROW]
[ROW][C]60[/C][C]0.0127274[/C][C]0.0254547[/C][C]0.987273[/C][/ROW]
[ROW][C]61[/C][C]0.012048[/C][C]0.024096[/C][C]0.987952[/C][/ROW]
[ROW][C]62[/C][C]0.00894623[/C][C]0.0178925[/C][C]0.991054[/C][/ROW]
[ROW][C]63[/C][C]0.130342[/C][C]0.260685[/C][C]0.869658[/C][/ROW]
[ROW][C]64[/C][C]0.121614[/C][C]0.243229[/C][C]0.878386[/C][/ROW]
[ROW][C]65[/C][C]0.138215[/C][C]0.27643[/C][C]0.861785[/C][/ROW]
[ROW][C]66[/C][C]0.157051[/C][C]0.314103[/C][C]0.842949[/C][/ROW]
[ROW][C]67[/C][C]0.146208[/C][C]0.292416[/C][C]0.853792[/C][/ROW]
[ROW][C]68[/C][C]0.132459[/C][C]0.264918[/C][C]0.867541[/C][/ROW]
[ROW][C]69[/C][C]0.112458[/C][C]0.224916[/C][C]0.887542[/C][/ROW]
[ROW][C]70[/C][C]0.100204[/C][C]0.200407[/C][C]0.899796[/C][/ROW]
[ROW][C]71[/C][C]0.0976883[/C][C]0.195377[/C][C]0.902312[/C][/ROW]
[ROW][C]72[/C][C]0.0933373[/C][C]0.186675[/C][C]0.906663[/C][/ROW]
[ROW][C]73[/C][C]0.104569[/C][C]0.209138[/C][C]0.895431[/C][/ROW]
[ROW][C]74[/C][C]0.0987828[/C][C]0.197566[/C][C]0.901217[/C][/ROW]
[ROW][C]75[/C][C]0.0845644[/C][C]0.169129[/C][C]0.915436[/C][/ROW]
[ROW][C]76[/C][C]0.0732548[/C][C]0.14651[/C][C]0.926745[/C][/ROW]
[ROW][C]77[/C][C]0.0643574[/C][C]0.128715[/C][C]0.935643[/C][/ROW]
[ROW][C]78[/C][C]0.0536649[/C][C]0.10733[/C][C]0.946335[/C][/ROW]
[ROW][C]79[/C][C]0.0522131[/C][C]0.104426[/C][C]0.947787[/C][/ROW]
[ROW][C]80[/C][C]0.0509666[/C][C]0.101933[/C][C]0.949033[/C][/ROW]
[ROW][C]81[/C][C]0.0456797[/C][C]0.0913593[/C][C]0.95432[/C][/ROW]
[ROW][C]82[/C][C]0.0387445[/C][C]0.0774889[/C][C]0.961256[/C][/ROW]
[ROW][C]83[/C][C]0.0311825[/C][C]0.0623649[/C][C]0.968818[/C][/ROW]
[ROW][C]84[/C][C]0.0249102[/C][C]0.0498205[/C][C]0.97509[/C][/ROW]
[ROW][C]85[/C][C]0.0254757[/C][C]0.0509513[/C][C]0.974524[/C][/ROW]
[ROW][C]86[/C][C]0.020783[/C][C]0.041566[/C][C]0.979217[/C][/ROW]
[ROW][C]87[/C][C]0.0166669[/C][C]0.0333338[/C][C]0.983333[/C][/ROW]
[ROW][C]88[/C][C]0.0135706[/C][C]0.0271412[/C][C]0.986429[/C][/ROW]
[ROW][C]89[/C][C]0.0107236[/C][C]0.0214473[/C][C]0.989276[/C][/ROW]
[ROW][C]90[/C][C]0.00846648[/C][C]0.016933[/C][C]0.991534[/C][/ROW]
[ROW][C]91[/C][C]0.00701492[/C][C]0.0140298[/C][C]0.992985[/C][/ROW]
[ROW][C]92[/C][C]0.00822263[/C][C]0.0164453[/C][C]0.991777[/C][/ROW]
[ROW][C]93[/C][C]0.00661089[/C][C]0.0132218[/C][C]0.993389[/C][/ROW]
[ROW][C]94[/C][C]0.017431[/C][C]0.034862[/C][C]0.982569[/C][/ROW]
[ROW][C]95[/C][C]0.0149698[/C][C]0.0299397[/C][C]0.98503[/C][/ROW]
[ROW][C]96[/C][C]0.0145429[/C][C]0.0290859[/C][C]0.985457[/C][/ROW]
[ROW][C]97[/C][C]0.0117401[/C][C]0.0234803[/C][C]0.98826[/C][/ROW]
[ROW][C]98[/C][C]0.0142567[/C][C]0.0285134[/C][C]0.985743[/C][/ROW]
[ROW][C]99[/C][C]0.0123747[/C][C]0.0247495[/C][C]0.987625[/C][/ROW]
[ROW][C]100[/C][C]0.0107028[/C][C]0.0214056[/C][C]0.989297[/C][/ROW]
[ROW][C]101[/C][C]0.00908254[/C][C]0.0181651[/C][C]0.990917[/C][/ROW]
[ROW][C]102[/C][C]0.00741961[/C][C]0.0148392[/C][C]0.99258[/C][/ROW]
[ROW][C]103[/C][C]0.00573444[/C][C]0.0114689[/C][C]0.994266[/C][/ROW]
[ROW][C]104[/C][C]0.00441596[/C][C]0.00883192[/C][C]0.995584[/C][/ROW]
[ROW][C]105[/C][C]0.00463714[/C][C]0.00927428[/C][C]0.995363[/C][/ROW]
[ROW][C]106[/C][C]0.00364675[/C][C]0.0072935[/C][C]0.996353[/C][/ROW]
[ROW][C]107[/C][C]0.00760511[/C][C]0.0152102[/C][C]0.992395[/C][/ROW]
[ROW][C]108[/C][C]0.00603232[/C][C]0.0120646[/C][C]0.993968[/C][/ROW]
[ROW][C]109[/C][C]0.00504388[/C][C]0.0100878[/C][C]0.994956[/C][/ROW]
[ROW][C]110[/C][C]0.00404395[/C][C]0.0080879[/C][C]0.995956[/C][/ROW]
[ROW][C]111[/C][C]0.00340618[/C][C]0.00681235[/C][C]0.996594[/C][/ROW]
[ROW][C]112[/C][C]0.00313214[/C][C]0.00626428[/C][C]0.996868[/C][/ROW]
[ROW][C]113[/C][C]0.00249968[/C][C]0.00499936[/C][C]0.9975[/C][/ROW]
[ROW][C]114[/C][C]0.00267606[/C][C]0.00535212[/C][C]0.997324[/C][/ROW]
[ROW][C]115[/C][C]0.00209109[/C][C]0.00418218[/C][C]0.997909[/C][/ROW]
[ROW][C]116[/C][C]0.00168191[/C][C]0.00336383[/C][C]0.998318[/C][/ROW]
[ROW][C]117[/C][C]0.00130444[/C][C]0.00260888[/C][C]0.998696[/C][/ROW]
[ROW][C]118[/C][C]0.0174025[/C][C]0.0348051[/C][C]0.982597[/C][/ROW]
[ROW][C]119[/C][C]0.0139465[/C][C]0.0278931[/C][C]0.986053[/C][/ROW]
[ROW][C]120[/C][C]0.011185[/C][C]0.02237[/C][C]0.988815[/C][/ROW]
[ROW][C]121[/C][C]0.00952268[/C][C]0.0190454[/C][C]0.990477[/C][/ROW]
[ROW][C]122[/C][C]0.0101932[/C][C]0.0203863[/C][C]0.989807[/C][/ROW]
[ROW][C]123[/C][C]0.00820896[/C][C]0.0164179[/C][C]0.991791[/C][/ROW]
[ROW][C]124[/C][C]0.00649458[/C][C]0.0129892[/C][C]0.993505[/C][/ROW]
[ROW][C]125[/C][C]0.00706232[/C][C]0.0141246[/C][C]0.992938[/C][/ROW]
[ROW][C]126[/C][C]0.0055347[/C][C]0.0110694[/C][C]0.994465[/C][/ROW]
[ROW][C]127[/C][C]0.00454678[/C][C]0.00909357[/C][C]0.995453[/C][/ROW]
[ROW][C]128[/C][C]0.00370755[/C][C]0.00741509[/C][C]0.996292[/C][/ROW]
[ROW][C]129[/C][C]0.00287026[/C][C]0.00574053[/C][C]0.99713[/C][/ROW]
[ROW][C]130[/C][C]0.00221308[/C][C]0.00442617[/C][C]0.997787[/C][/ROW]
[ROW][C]131[/C][C]0.00207816[/C][C]0.00415632[/C][C]0.997922[/C][/ROW]
[ROW][C]132[/C][C]0.00170392[/C][C]0.00340784[/C][C]0.998296[/C][/ROW]
[ROW][C]133[/C][C]0.00133661[/C][C]0.00267321[/C][C]0.998663[/C][/ROW]
[ROW][C]134[/C][C]0.00139356[/C][C]0.00278711[/C][C]0.998606[/C][/ROW]
[ROW][C]135[/C][C]0.00149767[/C][C]0.00299534[/C][C]0.998502[/C][/ROW]
[ROW][C]136[/C][C]0.00193271[/C][C]0.00386542[/C][C]0.998067[/C][/ROW]
[ROW][C]137[/C][C]0.00219824[/C][C]0.00439647[/C][C]0.997802[/C][/ROW]
[ROW][C]138[/C][C]0.00175631[/C][C]0.00351262[/C][C]0.998244[/C][/ROW]
[ROW][C]139[/C][C]0.00132752[/C][C]0.00265504[/C][C]0.998672[/C][/ROW]
[ROW][C]140[/C][C]0.0015441[/C][C]0.00308819[/C][C]0.998456[/C][/ROW]
[ROW][C]141[/C][C]0.0625332[/C][C]0.125066[/C][C]0.937467[/C][/ROW]
[ROW][C]142[/C][C]0.0525555[/C][C]0.105111[/C][C]0.947444[/C][/ROW]
[ROW][C]143[/C][C]0.0522835[/C][C]0.104567[/C][C]0.947716[/C][/ROW]
[ROW][C]144[/C][C]0.044129[/C][C]0.088258[/C][C]0.955871[/C][/ROW]
[ROW][C]145[/C][C]0.0369592[/C][C]0.0739184[/C][C]0.963041[/C][/ROW]
[ROW][C]146[/C][C]0.0306774[/C][C]0.0613548[/C][C]0.969323[/C][/ROW]
[ROW][C]147[/C][C]0.0277054[/C][C]0.0554108[/C][C]0.972295[/C][/ROW]
[ROW][C]148[/C][C]0.0355663[/C][C]0.0711326[/C][C]0.964434[/C][/ROW]
[ROW][C]149[/C][C]0.0516229[/C][C]0.103246[/C][C]0.948377[/C][/ROW]
[ROW][C]150[/C][C]0.0823762[/C][C]0.164752[/C][C]0.917624[/C][/ROW]
[ROW][C]151[/C][C]0.090175[/C][C]0.18035[/C][C]0.909825[/C][/ROW]
[ROW][C]152[/C][C]0.0774166[/C][C]0.154833[/C][C]0.922583[/C][/ROW]
[ROW][C]153[/C][C]0.0755694[/C][C]0.151139[/C][C]0.924431[/C][/ROW]
[ROW][C]154[/C][C]0.0828398[/C][C]0.16568[/C][C]0.91716[/C][/ROW]
[ROW][C]155[/C][C]0.0709859[/C][C]0.141972[/C][C]0.929014[/C][/ROW]
[ROW][C]156[/C][C]0.062757[/C][C]0.125514[/C][C]0.937243[/C][/ROW]
[ROW][C]157[/C][C]0.0527974[/C][C]0.105595[/C][C]0.947203[/C][/ROW]
[ROW][C]158[/C][C]0.0447874[/C][C]0.0895748[/C][C]0.955213[/C][/ROW]
[ROW][C]159[/C][C]0.038301[/C][C]0.0766019[/C][C]0.961699[/C][/ROW]
[ROW][C]160[/C][C]0.0368059[/C][C]0.0736118[/C][C]0.963194[/C][/ROW]
[ROW][C]161[/C][C]0.0303451[/C][C]0.0606901[/C][C]0.969655[/C][/ROW]
[ROW][C]162[/C][C]0.0248381[/C][C]0.0496762[/C][C]0.975162[/C][/ROW]
[ROW][C]163[/C][C]0.0205161[/C][C]0.0410322[/C][C]0.979484[/C][/ROW]
[ROW][C]164[/C][C]0.0253288[/C][C]0.0506575[/C][C]0.974671[/C][/ROW]
[ROW][C]165[/C][C]0.0215708[/C][C]0.0431417[/C][C]0.978429[/C][/ROW]
[ROW][C]166[/C][C]0.121552[/C][C]0.243104[/C][C]0.878448[/C][/ROW]
[ROW][C]167[/C][C]0.104517[/C][C]0.209034[/C][C]0.895483[/C][/ROW]
[ROW][C]168[/C][C]0.0915958[/C][C]0.183192[/C][C]0.908404[/C][/ROW]
[ROW][C]169[/C][C]0.0778645[/C][C]0.155729[/C][C]0.922135[/C][/ROW]
[ROW][C]170[/C][C]0.0757114[/C][C]0.151423[/C][C]0.924289[/C][/ROW]
[ROW][C]171[/C][C]0.0647293[/C][C]0.129459[/C][C]0.935271[/C][/ROW]
[ROW][C]172[/C][C]0.0909115[/C][C]0.181823[/C][C]0.909088[/C][/ROW]
[ROW][C]173[/C][C]0.0785303[/C][C]0.157061[/C][C]0.92147[/C][/ROW]
[ROW][C]174[/C][C]0.0757832[/C][C]0.151566[/C][C]0.924217[/C][/ROW]
[ROW][C]175[/C][C]0.0650925[/C][C]0.130185[/C][C]0.934908[/C][/ROW]
[ROW][C]176[/C][C]0.0544465[/C][C]0.108893[/C][C]0.945553[/C][/ROW]
[ROW][C]177[/C][C]0.0454707[/C][C]0.0909415[/C][C]0.954529[/C][/ROW]
[ROW][C]178[/C][C]0.0781706[/C][C]0.156341[/C][C]0.921829[/C][/ROW]
[ROW][C]179[/C][C]0.0799999[/C][C]0.16[/C][C]0.92[/C][/ROW]
[ROW][C]180[/C][C]0.0781477[/C][C]0.156295[/C][C]0.921852[/C][/ROW]
[ROW][C]181[/C][C]0.0905919[/C][C]0.181184[/C][C]0.909408[/C][/ROW]
[ROW][C]182[/C][C]0.0838643[/C][C]0.167729[/C][C]0.916136[/C][/ROW]
[ROW][C]183[/C][C]0.0777213[/C][C]0.155443[/C][C]0.922279[/C][/ROW]
[ROW][C]184[/C][C]0.0742104[/C][C]0.148421[/C][C]0.92579[/C][/ROW]
[ROW][C]185[/C][C]0.099515[/C][C]0.19903[/C][C]0.900485[/C][/ROW]
[ROW][C]186[/C][C]0.122511[/C][C]0.245021[/C][C]0.877489[/C][/ROW]
[ROW][C]187[/C][C]0.129118[/C][C]0.258235[/C][C]0.870882[/C][/ROW]
[ROW][C]188[/C][C]0.113415[/C][C]0.226829[/C][C]0.886585[/C][/ROW]
[ROW][C]189[/C][C]0.110977[/C][C]0.221954[/C][C]0.889023[/C][/ROW]
[ROW][C]190[/C][C]0.102834[/C][C]0.205669[/C][C]0.897166[/C][/ROW]
[ROW][C]191[/C][C]0.14177[/C][C]0.28354[/C][C]0.85823[/C][/ROW]
[ROW][C]192[/C][C]0.121908[/C][C]0.243817[/C][C]0.878092[/C][/ROW]
[ROW][C]193[/C][C]0.104087[/C][C]0.208174[/C][C]0.895913[/C][/ROW]
[ROW][C]194[/C][C]0.0903752[/C][C]0.18075[/C][C]0.909625[/C][/ROW]
[ROW][C]195[/C][C]0.076431[/C][C]0.152862[/C][C]0.923569[/C][/ROW]
[ROW][C]196[/C][C]0.105294[/C][C]0.210588[/C][C]0.894706[/C][/ROW]
[ROW][C]197[/C][C]0.110339[/C][C]0.220678[/C][C]0.889661[/C][/ROW]
[ROW][C]198[/C][C]0.0939199[/C][C]0.18784[/C][C]0.90608[/C][/ROW]
[ROW][C]199[/C][C]0.0801051[/C][C]0.16021[/C][C]0.919895[/C][/ROW]
[ROW][C]200[/C][C]0.0677729[/C][C]0.135546[/C][C]0.932227[/C][/ROW]
[ROW][C]201[/C][C]0.208408[/C][C]0.416816[/C][C]0.791592[/C][/ROW]
[ROW][C]202[/C][C]0.221748[/C][C]0.443496[/C][C]0.778252[/C][/ROW]
[ROW][C]203[/C][C]0.19585[/C][C]0.391701[/C][C]0.80415[/C][/ROW]
[ROW][C]204[/C][C]0.204444[/C][C]0.408888[/C][C]0.795556[/C][/ROW]
[ROW][C]205[/C][C]0.18244[/C][C]0.36488[/C][C]0.81756[/C][/ROW]
[ROW][C]206[/C][C]0.17052[/C][C]0.34104[/C][C]0.82948[/C][/ROW]
[ROW][C]207[/C][C]0.159222[/C][C]0.318444[/C][C]0.840778[/C][/ROW]
[ROW][C]208[/C][C]0.153244[/C][C]0.306488[/C][C]0.846756[/C][/ROW]
[ROW][C]209[/C][C]0.132195[/C][C]0.26439[/C][C]0.867805[/C][/ROW]
[ROW][C]210[/C][C]0.122326[/C][C]0.244651[/C][C]0.877674[/C][/ROW]
[ROW][C]211[/C][C]0.105607[/C][C]0.211214[/C][C]0.894393[/C][/ROW]
[ROW][C]212[/C][C]0.0943378[/C][C]0.188676[/C][C]0.905662[/C][/ROW]
[ROW][C]213[/C][C]0.095268[/C][C]0.190536[/C][C]0.904732[/C][/ROW]
[ROW][C]214[/C][C]0.0802791[/C][C]0.160558[/C][C]0.919721[/C][/ROW]
[ROW][C]215[/C][C]0.0662073[/C][C]0.132415[/C][C]0.933793[/C][/ROW]
[ROW][C]216[/C][C]0.0565576[/C][C]0.113115[/C][C]0.943442[/C][/ROW]
[ROW][C]217[/C][C]0.0561341[/C][C]0.112268[/C][C]0.943866[/C][/ROW]
[ROW][C]218[/C][C]0.0672121[/C][C]0.134424[/C][C]0.932788[/C][/ROW]
[ROW][C]219[/C][C]0.0741422[/C][C]0.148284[/C][C]0.925858[/C][/ROW]
[ROW][C]220[/C][C]0.0848896[/C][C]0.169779[/C][C]0.91511[/C][/ROW]
[ROW][C]221[/C][C]0.0696346[/C][C]0.139269[/C][C]0.930365[/C][/ROW]
[ROW][C]222[/C][C]0.0907131[/C][C]0.181426[/C][C]0.909287[/C][/ROW]
[ROW][C]223[/C][C]0.0936575[/C][C]0.187315[/C][C]0.906342[/C][/ROW]
[ROW][C]224[/C][C]0.0790406[/C][C]0.158081[/C][C]0.920959[/C][/ROW]
[ROW][C]225[/C][C]0.0784373[/C][C]0.156875[/C][C]0.921563[/C][/ROW]
[ROW][C]226[/C][C]0.311293[/C][C]0.622586[/C][C]0.688707[/C][/ROW]
[ROW][C]227[/C][C]0.280545[/C][C]0.56109[/C][C]0.719455[/C][/ROW]
[ROW][C]228[/C][C]0.243237[/C][C]0.486474[/C][C]0.756763[/C][/ROW]
[ROW][C]229[/C][C]0.208671[/C][C]0.417341[/C][C]0.791329[/C][/ROW]
[ROW][C]230[/C][C]0.176202[/C][C]0.352404[/C][C]0.823798[/C][/ROW]
[ROW][C]231[/C][C]0.156455[/C][C]0.312911[/C][C]0.843545[/C][/ROW]
[ROW][C]232[/C][C]0.13313[/C][C]0.266261[/C][C]0.86687[/C][/ROW]
[ROW][C]233[/C][C]0.108716[/C][C]0.217431[/C][C]0.891284[/C][/ROW]
[ROW][C]234[/C][C]0.0887934[/C][C]0.177587[/C][C]0.911207[/C][/ROW]
[ROW][C]235[/C][C]0.0708366[/C][C]0.141673[/C][C]0.929163[/C][/ROW]
[ROW][C]236[/C][C]0.0556152[/C][C]0.11123[/C][C]0.944385[/C][/ROW]
[ROW][C]237[/C][C]0.0721957[/C][C]0.144391[/C][C]0.927804[/C][/ROW]
[ROW][C]238[/C][C]0.0707977[/C][C]0.141595[/C][C]0.929202[/C][/ROW]
[ROW][C]239[/C][C]0.21102[/C][C]0.422041[/C][C]0.78898[/C][/ROW]
[ROW][C]240[/C][C]0.198449[/C][C]0.396898[/C][C]0.801551[/C][/ROW]
[ROW][C]241[/C][C]0.16406[/C][C]0.32812[/C][C]0.83594[/C][/ROW]
[ROW][C]242[/C][C]0.1378[/C][C]0.2756[/C][C]0.8622[/C][/ROW]
[ROW][C]243[/C][C]0.122732[/C][C]0.245465[/C][C]0.877268[/C][/ROW]
[ROW][C]244[/C][C]0.254213[/C][C]0.508426[/C][C]0.745787[/C][/ROW]
[ROW][C]245[/C][C]0.218641[/C][C]0.437282[/C][C]0.781359[/C][/ROW]
[ROW][C]246[/C][C]0.178582[/C][C]0.357165[/C][C]0.821418[/C][/ROW]
[ROW][C]247[/C][C]0.165361[/C][C]0.330723[/C][C]0.834639[/C][/ROW]
[ROW][C]248[/C][C]0.404435[/C][C]0.80887[/C][C]0.595565[/C][/ROW]
[ROW][C]249[/C][C]0.36206[/C][C]0.724121[/C][C]0.63794[/C][/ROW]
[ROW][C]250[/C][C]0.304337[/C][C]0.608675[/C][C]0.695663[/C][/ROW]
[ROW][C]251[/C][C]0.276562[/C][C]0.553124[/C][C]0.723438[/C][/ROW]
[ROW][C]252[/C][C]0.223864[/C][C]0.447728[/C][C]0.776136[/C][/ROW]
[ROW][C]253[/C][C]0.178171[/C][C]0.356342[/C][C]0.821829[/C][/ROW]
[ROW][C]254[/C][C]0.148935[/C][C]0.297871[/C][C]0.851065[/C][/ROW]
[ROW][C]255[/C][C]0.230108[/C][C]0.460216[/C][C]0.769892[/C][/ROW]
[ROW][C]256[/C][C]0.19742[/C][C]0.39484[/C][C]0.80258[/C][/ROW]
[ROW][C]257[/C][C]0.382972[/C][C]0.765944[/C][C]0.617028[/C][/ROW]
[ROW][C]258[/C][C]0.351766[/C][C]0.703532[/C][C]0.648234[/C][/ROW]
[ROW][C]259[/C][C]0.490977[/C][C]0.981954[/C][C]0.509023[/C][/ROW]
[ROW][C]260[/C][C]0.65794[/C][C]0.684121[/C][C]0.34206[/C][/ROW]
[ROW][C]261[/C][C]0.569868[/C][C]0.860264[/C][C]0.430132[/C][/ROW]
[ROW][C]262[/C][C]0.49683[/C][C]0.99366[/C][C]0.50317[/C][/ROW]
[ROW][C]263[/C][C]0.48629[/C][C]0.972579[/C][C]0.51371[/C][/ROW]
[ROW][C]264[/C][C]0.690484[/C][C]0.619032[/C][C]0.309516[/C][/ROW]
[ROW][C]265[/C][C]0.57093[/C][C]0.85814[/C][C]0.42907[/C][/ROW]
[ROW][C]266[/C][C]0.63006[/C][C]0.739879[/C][C]0.36994[/C][/ROW]
[ROW][C]267[/C][C]0.461648[/C][C]0.923296[/C][C]0.538352[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265669&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265669&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
110.3304860.6609710.669514
120.400680.8013610.59932
130.3095220.6190440.690478
140.5223990.9552010.477601
150.403730.8074590.59627
160.5881640.8236720.411836
170.599190.8016190.40081
180.5047170.9905660.495283
190.4182410.8364820.581759
200.3437770.6875550.656223
210.2884410.5768810.711559
220.2249530.4499060.775047
230.1748860.3497720.825114
240.2031710.4063410.796829
250.1685930.3371870.831407
260.1479030.2958060.852097
270.1124960.2249920.887504
280.09687940.1937590.903121
290.08598420.1719680.914016
300.08115680.1623140.918843
310.07435530.1487110.925645
320.1481990.2963980.851801
330.1547770.3095530.845223
340.1316970.2633940.868303
350.1058830.2117660.894117
360.08108190.1621640.918918
370.08558490.171170.914415
380.06730970.1346190.93269
390.05556360.1111270.944436
400.05872550.1174510.941275
410.04908640.09817280.950914
420.04500210.09000420.954998
430.03639880.07279760.963601
440.02907530.05815070.970925
450.02448940.04897880.975511
460.02319230.04638470.976808
470.0172440.0344880.982756
480.01286740.02573480.987133
490.0138620.02772410.986138
500.01602110.03204220.983979
510.01452170.02904340.985478
520.01514190.03028370.984858
530.01134620.02269230.988654
540.008590040.01718010.99141
550.008532770.01706550.991467
560.007131420.01426280.992869
570.006895320.01379060.993105
580.01583870.03167750.984161
590.0136120.0272240.986388
600.01272740.02545470.987273
610.0120480.0240960.987952
620.008946230.01789250.991054
630.1303420.2606850.869658
640.1216140.2432290.878386
650.1382150.276430.861785
660.1570510.3141030.842949
670.1462080.2924160.853792
680.1324590.2649180.867541
690.1124580.2249160.887542
700.1002040.2004070.899796
710.09768830.1953770.902312
720.09333730.1866750.906663
730.1045690.2091380.895431
740.09878280.1975660.901217
750.08456440.1691290.915436
760.07325480.146510.926745
770.06435740.1287150.935643
780.05366490.107330.946335
790.05221310.1044260.947787
800.05096660.1019330.949033
810.04567970.09135930.95432
820.03874450.07748890.961256
830.03118250.06236490.968818
840.02491020.04982050.97509
850.02547570.05095130.974524
860.0207830.0415660.979217
870.01666690.03333380.983333
880.01357060.02714120.986429
890.01072360.02144730.989276
900.008466480.0169330.991534
910.007014920.01402980.992985
920.008222630.01644530.991777
930.006610890.01322180.993389
940.0174310.0348620.982569
950.01496980.02993970.98503
960.01454290.02908590.985457
970.01174010.02348030.98826
980.01425670.02851340.985743
990.01237470.02474950.987625
1000.01070280.02140560.989297
1010.009082540.01816510.990917
1020.007419610.01483920.99258
1030.005734440.01146890.994266
1040.004415960.008831920.995584
1050.004637140.009274280.995363
1060.003646750.00729350.996353
1070.007605110.01521020.992395
1080.006032320.01206460.993968
1090.005043880.01008780.994956
1100.004043950.00808790.995956
1110.003406180.006812350.996594
1120.003132140.006264280.996868
1130.002499680.004999360.9975
1140.002676060.005352120.997324
1150.002091090.004182180.997909
1160.001681910.003363830.998318
1170.001304440.002608880.998696
1180.01740250.03480510.982597
1190.01394650.02789310.986053
1200.0111850.022370.988815
1210.009522680.01904540.990477
1220.01019320.02038630.989807
1230.008208960.01641790.991791
1240.006494580.01298920.993505
1250.007062320.01412460.992938
1260.00553470.01106940.994465
1270.004546780.009093570.995453
1280.003707550.007415090.996292
1290.002870260.005740530.99713
1300.002213080.004426170.997787
1310.002078160.004156320.997922
1320.001703920.003407840.998296
1330.001336610.002673210.998663
1340.001393560.002787110.998606
1350.001497670.002995340.998502
1360.001932710.003865420.998067
1370.002198240.004396470.997802
1380.001756310.003512620.998244
1390.001327520.002655040.998672
1400.00154410.003088190.998456
1410.06253320.1250660.937467
1420.05255550.1051110.947444
1430.05228350.1045670.947716
1440.0441290.0882580.955871
1450.03695920.07391840.963041
1460.03067740.06135480.969323
1470.02770540.05541080.972295
1480.03556630.07113260.964434
1490.05162290.1032460.948377
1500.08237620.1647520.917624
1510.0901750.180350.909825
1520.07741660.1548330.922583
1530.07556940.1511390.924431
1540.08283980.165680.91716
1550.07098590.1419720.929014
1560.0627570.1255140.937243
1570.05279740.1055950.947203
1580.04478740.08957480.955213
1590.0383010.07660190.961699
1600.03680590.07361180.963194
1610.03034510.06069010.969655
1620.02483810.04967620.975162
1630.02051610.04103220.979484
1640.02532880.05065750.974671
1650.02157080.04314170.978429
1660.1215520.2431040.878448
1670.1045170.2090340.895483
1680.09159580.1831920.908404
1690.07786450.1557290.922135
1700.07571140.1514230.924289
1710.06472930.1294590.935271
1720.09091150.1818230.909088
1730.07853030.1570610.92147
1740.07578320.1515660.924217
1750.06509250.1301850.934908
1760.05444650.1088930.945553
1770.04547070.09094150.954529
1780.07817060.1563410.921829
1790.07999990.160.92
1800.07814770.1562950.921852
1810.09059190.1811840.909408
1820.08386430.1677290.916136
1830.07772130.1554430.922279
1840.07421040.1484210.92579
1850.0995150.199030.900485
1860.1225110.2450210.877489
1870.1291180.2582350.870882
1880.1134150.2268290.886585
1890.1109770.2219540.889023
1900.1028340.2056690.897166
1910.141770.283540.85823
1920.1219080.2438170.878092
1930.1040870.2081740.895913
1940.09037520.180750.909625
1950.0764310.1528620.923569
1960.1052940.2105880.894706
1970.1103390.2206780.889661
1980.09391990.187840.90608
1990.08010510.160210.919895
2000.06777290.1355460.932227
2010.2084080.4168160.791592
2020.2217480.4434960.778252
2030.195850.3917010.80415
2040.2044440.4088880.795556
2050.182440.364880.81756
2060.170520.341040.82948
2070.1592220.3184440.840778
2080.1532440.3064880.846756
2090.1321950.264390.867805
2100.1223260.2446510.877674
2110.1056070.2112140.894393
2120.09433780.1886760.905662
2130.0952680.1905360.904732
2140.08027910.1605580.919721
2150.06620730.1324150.933793
2160.05655760.1131150.943442
2170.05613410.1122680.943866
2180.06721210.1344240.932788
2190.07414220.1482840.925858
2200.08488960.1697790.91511
2210.06963460.1392690.930365
2220.09071310.1814260.909287
2230.09365750.1873150.906342
2240.07904060.1580810.920959
2250.07843730.1568750.921563
2260.3112930.6225860.688707
2270.2805450.561090.719455
2280.2432370.4864740.756763
2290.2086710.4173410.791329
2300.1762020.3524040.823798
2310.1564550.3129110.843545
2320.133130.2662610.86687
2330.1087160.2174310.891284
2340.08879340.1775870.911207
2350.07083660.1416730.929163
2360.05561520.111230.944385
2370.07219570.1443910.927804
2380.07079770.1415950.929202
2390.211020.4220410.78898
2400.1984490.3968980.801551
2410.164060.328120.83594
2420.13780.27560.8622
2430.1227320.2454650.877268
2440.2542130.5084260.745787
2450.2186410.4372820.781359
2460.1785820.3571650.821418
2470.1653610.3307230.834639
2480.4044350.808870.595565
2490.362060.7241210.63794
2500.3043370.6086750.695663
2510.2765620.5531240.723438
2520.2238640.4477280.776136
2530.1781710.3563420.821829
2540.1489350.2978710.851065
2550.2301080.4602160.769892
2560.197420.394840.80258
2570.3829720.7659440.617028
2580.3517660.7035320.648234
2590.4909770.9819540.509023
2600.657940.6841210.34206
2610.5698680.8602640.430132
2620.496830.993660.50317
2630.486290.9725790.51371
2640.6904840.6190320.309516
2650.570930.858140.42907
2660.630060.7398790.36994
2670.4616480.9232960.538352






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level250.0972763NOK
5% type I error level770.299611NOK
10% type I error level960.373541NOK

\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 & 25 & 0.0972763 & NOK \tabularnewline
5% type I error level & 77 & 0.299611 & NOK \tabularnewline
10% type I error level & 96 & 0.373541 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265669&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]25[/C][C]0.0972763[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]77[/C][C]0.299611[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]96[/C][C]0.373541[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265669&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265669&T=6

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

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level250.0972763NOK
5% type I error level770.299611NOK
10% type I error level960.373541NOK


Figures (Output of Computation)

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Input Parameters & R Code

Parameters (Session):
par1 = 8 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;
Parameters (R input):
par1 = 8 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;
R code (references can be found in the software module):
par3 <- 'No Linear Trend'
par2 <- 'Do not include Seasonal Dummies'
par1 <- ''
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')
}