Free Statistics

of Irreproducible Research!

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationTue, 09 Dec 2014 16:09:33 +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/09/t1418141400cjm7snh7adcmlyl.htm/, Retrieved Thu, 31 Oct 2024 23:53:47 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=264730, Retrieved Thu, 31 Oct 2024 23:53:47 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact129
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Multiple Regression] [Paper] [2014-12-09 15:40:26] [0157b5c42b4f7eb2350035031c315d52]
-   PD    [Multiple Regression] [MRPRARA] [2014-12-09 16:09:33] [242d85a9bfb0ea698bfc8f0fddf92a5c] [Current]
Feedback Forum

Post a new message
Dataseries X:
0 2
0 1
0 2
0 0
0 0
0 0
0 2
0 2
0 0
0 2
0 3
0 0
0 0
0 2
0 1
1 2
0 1
0 1
1 1
0 0
0 2
0 1
0 1
0 1
0 2
0 0
1 1
1 2
0 3
0 2
0 1
0 0
0 2
0 2
0 3
0 3
0 1
1 0
0 2
0 2
0 2
0 2
0 1
0 3
1 2
0 2
0 0
1 0
0 0
1 3
1 2
1 0
0 2
1 0
0 0
0 2
1 3
0 0
1 1
1 2
0 2
0 0
0 3
0 2
0 0
1 3
0 2
0 2
0 3
1 0
0 1
0 2
1 1
1 2
0 0
0 0
1 2
0 1
1 0
0 0
1 1
1 0
1 2
1 1
1 2
1 1
1 1
1 3
1 2
1 0
1 2
1 1
1 0
1 1
1 0
1 0
1 1
1 2
1 2
1 2
1 2
1 3
1 0
1 0
1 0
1 0
1 0
1 3
1 2
1 0
1 2
1 2
0 0
0 2
0 1
0 3
1 3
1 0
0 3
0 2
0 2
0 0
0 2
0 3
0 2
0 0
0 0
0 0
1 1
0 2
0 3
0 0
0 2
0 2
0 1
0 2
0 2
0 2
0 2
0 2
1 2
0 1
0 0
0 2
0 0
0 2
0 0
0 0
0 0
0 3
0 0
0 2
0 3
0 0
1 2
1 0
0 3
0 2
1 2
1 2
1 3
1 3
0 3
0 2
1 3
1 1
1 2
1 3
1 2
1 2
1 2
1 1
1 3
0 2
0 2
1 1
0 1
0 0
1 1
0 1
1 2
1 0
0 3
1 1
1 1
1 3
1 3
1 3
1 3
1 0
1 2
1 1
1 2
1 1
1 1
1 3
0 1
1 0
1 1
1 1
0 2
1 1
0 0
1 2
0 2
1 3
0 0
1 2
1 0
1 1
1 2
0 1
0 0
1 0
0 2
0 0
1 1
0 2
1 2
1 3
0 0
1 0
0 2
0 0
0 3
1 2
0 1
1 3
0 2
0 2
0 0
0 1
1 2
0 2
0 0
0 3
1 1
0 0
0 0
1 0
0 2
1 0
1 2
1 3
1 2
1 1
0 1
0 1
0 0
0 1
0 0
0 2
1 3
1 1
0 2
1 3
1 3
0 1
1 1
1 0
1 1
1 3
1 0
1 2
1 2
1 2
1 2
1 0
1 3
1 2
1 0
1 2
1 0
1 2
1 2
0 3
1 2
1 2




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time7 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.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 & 7 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=264730&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]7 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=264730&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=264730&T=0

As an alternative you can also use a 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 time7 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.wessa.net







Multiple Linear Regression - Estimated Regression Equation
Proportionality_and_Ratio[t] = + 1.33803 + 0.154619Programma_Bin[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
Proportionality_and_Ratio[t] =  +  1.33803 +  0.154619Programma_Bin[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=264730&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]Proportionality_and_Ratio[t] =  +  1.33803 +  0.154619Programma_Bin[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=264730&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=264730&T=1

As an alternative you can also use a QR Code:  

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

Multiple Linear Regression - Estimated Regression Equation
Proportionality_and_Ratio[t] = + 1.33803 + 0.154619Programma_Bin[t] + e[t]







Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)1.338030.088616115.15.79896e-382.89948e-38
Programma_Bin0.1546190.1266971.220.223360.11168

\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) & 1.33803 & 0.0886161 & 15.1 & 5.79896e-38 & 2.89948e-38 \tabularnewline
Programma_Bin & 0.154619 & 0.126697 & 1.22 & 0.22336 & 0.11168 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=264730&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]1.33803[/C][C]0.0886161[/C][C]15.1[/C][C]5.79896e-38[/C][C]2.89948e-38[/C][/ROW]
[ROW][C]Programma_Bin[/C][C]0.154619[/C][C]0.126697[/C][C]1.22[/C][C]0.22336[/C][C]0.11168[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=264730&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=264730&T=2

As an alternative you can also use a 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)1.338030.088616115.15.79896e-382.89948e-38
Programma_Bin0.1546190.1266971.220.223360.11168







Multiple Linear Regression - Regression Statistics
Multiple R0.0732612
R-squared0.0053672
Adjusted R-squared0.00176346
F-TEST (value)1.48934
F-TEST (DF numerator)1
F-TEST (DF denominator)276
p-value0.22336
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation1.05598
Sum Squared Residuals307.767

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.0732612 \tabularnewline
R-squared & 0.0053672 \tabularnewline
Adjusted R-squared & 0.00176346 \tabularnewline
F-TEST (value) & 1.48934 \tabularnewline
F-TEST (DF numerator) & 1 \tabularnewline
F-TEST (DF denominator) & 276 \tabularnewline
p-value & 0.22336 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 1.05598 \tabularnewline
Sum Squared Residuals & 307.767 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=264730&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.0732612[/C][/ROW]
[ROW][C]R-squared[/C][C]0.0053672[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.00176346[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]1.48934[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]1[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]276[/C][/ROW]
[ROW][C]p-value[/C][C]0.22336[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]1.05598[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]307.767[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=264730&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=264730&T=3

As an alternative you can also use a QR Code:  

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

Multiple Linear Regression - Regression Statistics
Multiple R0.0732612
R-squared0.0053672
Adjusted R-squared0.00176346
F-TEST (value)1.48934
F-TEST (DF numerator)1
F-TEST (DF denominator)276
p-value0.22336
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation1.05598
Sum Squared Residuals307.767







Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
121.338030.661972
211.33803-0.338028
321.338030.661972
401.33803-1.33803
501.33803-1.33803
601.33803-1.33803
721.338030.661972
821.338030.661972
901.33803-1.33803
1021.338030.661972
1131.338031.66197
1201.33803-1.33803
1301.33803-1.33803
1421.338030.661972
1511.33803-0.338028
1621.492650.507353
1711.33803-0.338028
1811.33803-0.338028
1911.49265-0.492647
2001.33803-1.33803
2121.338030.661972
2211.33803-0.338028
2311.33803-0.338028
2411.33803-0.338028
2521.338030.661972
2601.33803-1.33803
2711.49265-0.492647
2821.492650.507353
2931.338031.66197
3021.338030.661972
3111.33803-0.338028
3201.33803-1.33803
3321.338030.661972
3421.338030.661972
3531.338031.66197
3631.338031.66197
3711.33803-0.338028
3801.49265-1.49265
3921.338030.661972
4021.338030.661972
4121.338030.661972
4221.338030.661972
4311.33803-0.338028
4431.338031.66197
4521.492650.507353
4621.338030.661972
4701.33803-1.33803
4801.49265-1.49265
4901.33803-1.33803
5031.492651.50735
5121.492650.507353
5201.49265-1.49265
5321.338030.661972
5401.49265-1.49265
5501.33803-1.33803
5621.338030.661972
5731.492651.50735
5801.33803-1.33803
5911.49265-0.492647
6021.492650.507353
6121.338030.661972
6201.33803-1.33803
6331.338031.66197
6421.338030.661972
6501.33803-1.33803
6631.492651.50735
6721.338030.661972
6821.338030.661972
6931.338031.66197
7001.49265-1.49265
7111.33803-0.338028
7221.338030.661972
7311.49265-0.492647
7421.492650.507353
7501.33803-1.33803
7601.33803-1.33803
7721.492650.507353
7811.33803-0.338028
7901.49265-1.49265
8001.33803-1.33803
8111.49265-0.492647
8201.49265-1.49265
8321.492650.507353
8411.49265-0.492647
8521.492650.507353
8611.49265-0.492647
8711.49265-0.492647
8831.492651.50735
8921.492650.507353
9001.49265-1.49265
9121.492650.507353
9211.49265-0.492647
9301.49265-1.49265
9411.49265-0.492647
9501.49265-1.49265
9601.49265-1.49265
9711.49265-0.492647
9821.492650.507353
9921.492650.507353
10021.492650.507353
10121.492650.507353
10231.492651.50735
10301.49265-1.49265
10401.49265-1.49265
10501.49265-1.49265
10601.49265-1.49265
10701.49265-1.49265
10831.492651.50735
10921.492650.507353
11001.49265-1.49265
11121.492650.507353
11221.492650.507353
11301.33803-1.33803
11421.338030.661972
11511.33803-0.338028
11631.338031.66197
11731.492651.50735
11801.49265-1.49265
11931.338031.66197
12021.338030.661972
12121.338030.661972
12201.33803-1.33803
12321.338030.661972
12431.338031.66197
12521.338030.661972
12601.33803-1.33803
12701.33803-1.33803
12801.33803-1.33803
12911.49265-0.492647
13021.338030.661972
13131.338031.66197
13201.33803-1.33803
13321.338030.661972
13421.338030.661972
13511.33803-0.338028
13621.338030.661972
13721.338030.661972
13821.338030.661972
13921.338030.661972
14021.338030.661972
14121.492650.507353
14211.33803-0.338028
14301.33803-1.33803
14421.338030.661972
14501.33803-1.33803
14621.338030.661972
14701.33803-1.33803
14801.33803-1.33803
14901.33803-1.33803
15031.338031.66197
15101.33803-1.33803
15221.338030.661972
15331.338031.66197
15401.33803-1.33803
15521.492650.507353
15601.49265-1.49265
15731.338031.66197
15821.338030.661972
15921.492650.507353
16021.492650.507353
16131.492651.50735
16231.492651.50735
16331.338031.66197
16421.338030.661972
16531.492651.50735
16611.49265-0.492647
16721.492650.507353
16831.492651.50735
16921.492650.507353
17021.492650.507353
17121.492650.507353
17211.49265-0.492647
17331.492651.50735
17421.338030.661972
17521.338030.661972
17611.49265-0.492647
17711.33803-0.338028
17801.33803-1.33803
17911.49265-0.492647
18011.33803-0.338028
18121.492650.507353
18201.49265-1.49265
18331.338031.66197
18411.49265-0.492647
18511.49265-0.492647
18631.492651.50735
18731.492651.50735
18831.492651.50735
18931.492651.50735
19001.49265-1.49265
19121.492650.507353
19211.49265-0.492647
19321.492650.507353
19411.49265-0.492647
19511.49265-0.492647
19631.492651.50735
19711.33803-0.338028
19801.49265-1.49265
19911.49265-0.492647
20011.49265-0.492647
20121.338030.661972
20211.49265-0.492647
20301.33803-1.33803
20421.492650.507353
20521.338030.661972
20631.492651.50735
20701.33803-1.33803
20821.492650.507353
20901.49265-1.49265
21011.49265-0.492647
21121.492650.507353
21211.33803-0.338028
21301.33803-1.33803
21401.49265-1.49265
21521.338030.661972
21601.33803-1.33803
21711.49265-0.492647
21821.338030.661972
21921.492650.507353
22031.492651.50735
22101.33803-1.33803
22201.49265-1.49265
22321.338030.661972
22401.33803-1.33803
22531.338031.66197
22621.492650.507353
22711.33803-0.338028
22831.492651.50735
22921.338030.661972
23021.338030.661972
23101.33803-1.33803
23211.33803-0.338028
23321.492650.507353
23421.338030.661972
23501.33803-1.33803
23631.338031.66197
23711.49265-0.492647
23801.33803-1.33803
23901.33803-1.33803
24001.49265-1.49265
24121.338030.661972
24201.49265-1.49265
24321.492650.507353
24431.492651.50735
24521.492650.507353
24611.49265-0.492647
24711.33803-0.338028
24811.33803-0.338028
24901.33803-1.33803
25011.33803-0.338028
25101.33803-1.33803
25221.338030.661972
25331.492651.50735
25411.49265-0.492647
25521.338030.661972
25631.492651.50735
25731.492651.50735
25811.33803-0.338028
25911.49265-0.492647
26001.49265-1.49265
26111.49265-0.492647
26231.492651.50735
26301.49265-1.49265
26421.492650.507353
26521.492650.507353
26621.492650.507353
26721.492650.507353
26801.49265-1.49265
26931.492651.50735
27021.492650.507353
27101.49265-1.49265
27221.492650.507353
27301.49265-1.49265
27421.492650.507353
27521.492650.507353
27631.338031.66197
27721.492650.507353
27821.492650.507353

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 2 & 1.33803 & 0.661972 \tabularnewline
2 & 1 & 1.33803 & -0.338028 \tabularnewline
3 & 2 & 1.33803 & 0.661972 \tabularnewline
4 & 0 & 1.33803 & -1.33803 \tabularnewline
5 & 0 & 1.33803 & -1.33803 \tabularnewline
6 & 0 & 1.33803 & -1.33803 \tabularnewline
7 & 2 & 1.33803 & 0.661972 \tabularnewline
8 & 2 & 1.33803 & 0.661972 \tabularnewline
9 & 0 & 1.33803 & -1.33803 \tabularnewline
10 & 2 & 1.33803 & 0.661972 \tabularnewline
11 & 3 & 1.33803 & 1.66197 \tabularnewline
12 & 0 & 1.33803 & -1.33803 \tabularnewline
13 & 0 & 1.33803 & -1.33803 \tabularnewline
14 & 2 & 1.33803 & 0.661972 \tabularnewline
15 & 1 & 1.33803 & -0.338028 \tabularnewline
16 & 2 & 1.49265 & 0.507353 \tabularnewline
17 & 1 & 1.33803 & -0.338028 \tabularnewline
18 & 1 & 1.33803 & -0.338028 \tabularnewline
19 & 1 & 1.49265 & -0.492647 \tabularnewline
20 & 0 & 1.33803 & -1.33803 \tabularnewline
21 & 2 & 1.33803 & 0.661972 \tabularnewline
22 & 1 & 1.33803 & -0.338028 \tabularnewline
23 & 1 & 1.33803 & -0.338028 \tabularnewline
24 & 1 & 1.33803 & -0.338028 \tabularnewline
25 & 2 & 1.33803 & 0.661972 \tabularnewline
26 & 0 & 1.33803 & -1.33803 \tabularnewline
27 & 1 & 1.49265 & -0.492647 \tabularnewline
28 & 2 & 1.49265 & 0.507353 \tabularnewline
29 & 3 & 1.33803 & 1.66197 \tabularnewline
30 & 2 & 1.33803 & 0.661972 \tabularnewline
31 & 1 & 1.33803 & -0.338028 \tabularnewline
32 & 0 & 1.33803 & -1.33803 \tabularnewline
33 & 2 & 1.33803 & 0.661972 \tabularnewline
34 & 2 & 1.33803 & 0.661972 \tabularnewline
35 & 3 & 1.33803 & 1.66197 \tabularnewline
36 & 3 & 1.33803 & 1.66197 \tabularnewline
37 & 1 & 1.33803 & -0.338028 \tabularnewline
38 & 0 & 1.49265 & -1.49265 \tabularnewline
39 & 2 & 1.33803 & 0.661972 \tabularnewline
40 & 2 & 1.33803 & 0.661972 \tabularnewline
41 & 2 & 1.33803 & 0.661972 \tabularnewline
42 & 2 & 1.33803 & 0.661972 \tabularnewline
43 & 1 & 1.33803 & -0.338028 \tabularnewline
44 & 3 & 1.33803 & 1.66197 \tabularnewline
45 & 2 & 1.49265 & 0.507353 \tabularnewline
46 & 2 & 1.33803 & 0.661972 \tabularnewline
47 & 0 & 1.33803 & -1.33803 \tabularnewline
48 & 0 & 1.49265 & -1.49265 \tabularnewline
49 & 0 & 1.33803 & -1.33803 \tabularnewline
50 & 3 & 1.49265 & 1.50735 \tabularnewline
51 & 2 & 1.49265 & 0.507353 \tabularnewline
52 & 0 & 1.49265 & -1.49265 \tabularnewline
53 & 2 & 1.33803 & 0.661972 \tabularnewline
54 & 0 & 1.49265 & -1.49265 \tabularnewline
55 & 0 & 1.33803 & -1.33803 \tabularnewline
56 & 2 & 1.33803 & 0.661972 \tabularnewline
57 & 3 & 1.49265 & 1.50735 \tabularnewline
58 & 0 & 1.33803 & -1.33803 \tabularnewline
59 & 1 & 1.49265 & -0.492647 \tabularnewline
60 & 2 & 1.49265 & 0.507353 \tabularnewline
61 & 2 & 1.33803 & 0.661972 \tabularnewline
62 & 0 & 1.33803 & -1.33803 \tabularnewline
63 & 3 & 1.33803 & 1.66197 \tabularnewline
64 & 2 & 1.33803 & 0.661972 \tabularnewline
65 & 0 & 1.33803 & -1.33803 \tabularnewline
66 & 3 & 1.49265 & 1.50735 \tabularnewline
67 & 2 & 1.33803 & 0.661972 \tabularnewline
68 & 2 & 1.33803 & 0.661972 \tabularnewline
69 & 3 & 1.33803 & 1.66197 \tabularnewline
70 & 0 & 1.49265 & -1.49265 \tabularnewline
71 & 1 & 1.33803 & -0.338028 \tabularnewline
72 & 2 & 1.33803 & 0.661972 \tabularnewline
73 & 1 & 1.49265 & -0.492647 \tabularnewline
74 & 2 & 1.49265 & 0.507353 \tabularnewline
75 & 0 & 1.33803 & -1.33803 \tabularnewline
76 & 0 & 1.33803 & -1.33803 \tabularnewline
77 & 2 & 1.49265 & 0.507353 \tabularnewline
78 & 1 & 1.33803 & -0.338028 \tabularnewline
79 & 0 & 1.49265 & -1.49265 \tabularnewline
80 & 0 & 1.33803 & -1.33803 \tabularnewline
81 & 1 & 1.49265 & -0.492647 \tabularnewline
82 & 0 & 1.49265 & -1.49265 \tabularnewline
83 & 2 & 1.49265 & 0.507353 \tabularnewline
84 & 1 & 1.49265 & -0.492647 \tabularnewline
85 & 2 & 1.49265 & 0.507353 \tabularnewline
86 & 1 & 1.49265 & -0.492647 \tabularnewline
87 & 1 & 1.49265 & -0.492647 \tabularnewline
88 & 3 & 1.49265 & 1.50735 \tabularnewline
89 & 2 & 1.49265 & 0.507353 \tabularnewline
90 & 0 & 1.49265 & -1.49265 \tabularnewline
91 & 2 & 1.49265 & 0.507353 \tabularnewline
92 & 1 & 1.49265 & -0.492647 \tabularnewline
93 & 0 & 1.49265 & -1.49265 \tabularnewline
94 & 1 & 1.49265 & -0.492647 \tabularnewline
95 & 0 & 1.49265 & -1.49265 \tabularnewline
96 & 0 & 1.49265 & -1.49265 \tabularnewline
97 & 1 & 1.49265 & -0.492647 \tabularnewline
98 & 2 & 1.49265 & 0.507353 \tabularnewline
99 & 2 & 1.49265 & 0.507353 \tabularnewline
100 & 2 & 1.49265 & 0.507353 \tabularnewline
101 & 2 & 1.49265 & 0.507353 \tabularnewline
102 & 3 & 1.49265 & 1.50735 \tabularnewline
103 & 0 & 1.49265 & -1.49265 \tabularnewline
104 & 0 & 1.49265 & -1.49265 \tabularnewline
105 & 0 & 1.49265 & -1.49265 \tabularnewline
106 & 0 & 1.49265 & -1.49265 \tabularnewline
107 & 0 & 1.49265 & -1.49265 \tabularnewline
108 & 3 & 1.49265 & 1.50735 \tabularnewline
109 & 2 & 1.49265 & 0.507353 \tabularnewline
110 & 0 & 1.49265 & -1.49265 \tabularnewline
111 & 2 & 1.49265 & 0.507353 \tabularnewline
112 & 2 & 1.49265 & 0.507353 \tabularnewline
113 & 0 & 1.33803 & -1.33803 \tabularnewline
114 & 2 & 1.33803 & 0.661972 \tabularnewline
115 & 1 & 1.33803 & -0.338028 \tabularnewline
116 & 3 & 1.33803 & 1.66197 \tabularnewline
117 & 3 & 1.49265 & 1.50735 \tabularnewline
118 & 0 & 1.49265 & -1.49265 \tabularnewline
119 & 3 & 1.33803 & 1.66197 \tabularnewline
120 & 2 & 1.33803 & 0.661972 \tabularnewline
121 & 2 & 1.33803 & 0.661972 \tabularnewline
122 & 0 & 1.33803 & -1.33803 \tabularnewline
123 & 2 & 1.33803 & 0.661972 \tabularnewline
124 & 3 & 1.33803 & 1.66197 \tabularnewline
125 & 2 & 1.33803 & 0.661972 \tabularnewline
126 & 0 & 1.33803 & -1.33803 \tabularnewline
127 & 0 & 1.33803 & -1.33803 \tabularnewline
128 & 0 & 1.33803 & -1.33803 \tabularnewline
129 & 1 & 1.49265 & -0.492647 \tabularnewline
130 & 2 & 1.33803 & 0.661972 \tabularnewline
131 & 3 & 1.33803 & 1.66197 \tabularnewline
132 & 0 & 1.33803 & -1.33803 \tabularnewline
133 & 2 & 1.33803 & 0.661972 \tabularnewline
134 & 2 & 1.33803 & 0.661972 \tabularnewline
135 & 1 & 1.33803 & -0.338028 \tabularnewline
136 & 2 & 1.33803 & 0.661972 \tabularnewline
137 & 2 & 1.33803 & 0.661972 \tabularnewline
138 & 2 & 1.33803 & 0.661972 \tabularnewline
139 & 2 & 1.33803 & 0.661972 \tabularnewline
140 & 2 & 1.33803 & 0.661972 \tabularnewline
141 & 2 & 1.49265 & 0.507353 \tabularnewline
142 & 1 & 1.33803 & -0.338028 \tabularnewline
143 & 0 & 1.33803 & -1.33803 \tabularnewline
144 & 2 & 1.33803 & 0.661972 \tabularnewline
145 & 0 & 1.33803 & -1.33803 \tabularnewline
146 & 2 & 1.33803 & 0.661972 \tabularnewline
147 & 0 & 1.33803 & -1.33803 \tabularnewline
148 & 0 & 1.33803 & -1.33803 \tabularnewline
149 & 0 & 1.33803 & -1.33803 \tabularnewline
150 & 3 & 1.33803 & 1.66197 \tabularnewline
151 & 0 & 1.33803 & -1.33803 \tabularnewline
152 & 2 & 1.33803 & 0.661972 \tabularnewline
153 & 3 & 1.33803 & 1.66197 \tabularnewline
154 & 0 & 1.33803 & -1.33803 \tabularnewline
155 & 2 & 1.49265 & 0.507353 \tabularnewline
156 & 0 & 1.49265 & -1.49265 \tabularnewline
157 & 3 & 1.33803 & 1.66197 \tabularnewline
158 & 2 & 1.33803 & 0.661972 \tabularnewline
159 & 2 & 1.49265 & 0.507353 \tabularnewline
160 & 2 & 1.49265 & 0.507353 \tabularnewline
161 & 3 & 1.49265 & 1.50735 \tabularnewline
162 & 3 & 1.49265 & 1.50735 \tabularnewline
163 & 3 & 1.33803 & 1.66197 \tabularnewline
164 & 2 & 1.33803 & 0.661972 \tabularnewline
165 & 3 & 1.49265 & 1.50735 \tabularnewline
166 & 1 & 1.49265 & -0.492647 \tabularnewline
167 & 2 & 1.49265 & 0.507353 \tabularnewline
168 & 3 & 1.49265 & 1.50735 \tabularnewline
169 & 2 & 1.49265 & 0.507353 \tabularnewline
170 & 2 & 1.49265 & 0.507353 \tabularnewline
171 & 2 & 1.49265 & 0.507353 \tabularnewline
172 & 1 & 1.49265 & -0.492647 \tabularnewline
173 & 3 & 1.49265 & 1.50735 \tabularnewline
174 & 2 & 1.33803 & 0.661972 \tabularnewline
175 & 2 & 1.33803 & 0.661972 \tabularnewline
176 & 1 & 1.49265 & -0.492647 \tabularnewline
177 & 1 & 1.33803 & -0.338028 \tabularnewline
178 & 0 & 1.33803 & -1.33803 \tabularnewline
179 & 1 & 1.49265 & -0.492647 \tabularnewline
180 & 1 & 1.33803 & -0.338028 \tabularnewline
181 & 2 & 1.49265 & 0.507353 \tabularnewline
182 & 0 & 1.49265 & -1.49265 \tabularnewline
183 & 3 & 1.33803 & 1.66197 \tabularnewline
184 & 1 & 1.49265 & -0.492647 \tabularnewline
185 & 1 & 1.49265 & -0.492647 \tabularnewline
186 & 3 & 1.49265 & 1.50735 \tabularnewline
187 & 3 & 1.49265 & 1.50735 \tabularnewline
188 & 3 & 1.49265 & 1.50735 \tabularnewline
189 & 3 & 1.49265 & 1.50735 \tabularnewline
190 & 0 & 1.49265 & -1.49265 \tabularnewline
191 & 2 & 1.49265 & 0.507353 \tabularnewline
192 & 1 & 1.49265 & -0.492647 \tabularnewline
193 & 2 & 1.49265 & 0.507353 \tabularnewline
194 & 1 & 1.49265 & -0.492647 \tabularnewline
195 & 1 & 1.49265 & -0.492647 \tabularnewline
196 & 3 & 1.49265 & 1.50735 \tabularnewline
197 & 1 & 1.33803 & -0.338028 \tabularnewline
198 & 0 & 1.49265 & -1.49265 \tabularnewline
199 & 1 & 1.49265 & -0.492647 \tabularnewline
200 & 1 & 1.49265 & -0.492647 \tabularnewline
201 & 2 & 1.33803 & 0.661972 \tabularnewline
202 & 1 & 1.49265 & -0.492647 \tabularnewline
203 & 0 & 1.33803 & -1.33803 \tabularnewline
204 & 2 & 1.49265 & 0.507353 \tabularnewline
205 & 2 & 1.33803 & 0.661972 \tabularnewline
206 & 3 & 1.49265 & 1.50735 \tabularnewline
207 & 0 & 1.33803 & -1.33803 \tabularnewline
208 & 2 & 1.49265 & 0.507353 \tabularnewline
209 & 0 & 1.49265 & -1.49265 \tabularnewline
210 & 1 & 1.49265 & -0.492647 \tabularnewline
211 & 2 & 1.49265 & 0.507353 \tabularnewline
212 & 1 & 1.33803 & -0.338028 \tabularnewline
213 & 0 & 1.33803 & -1.33803 \tabularnewline
214 & 0 & 1.49265 & -1.49265 \tabularnewline
215 & 2 & 1.33803 & 0.661972 \tabularnewline
216 & 0 & 1.33803 & -1.33803 \tabularnewline
217 & 1 & 1.49265 & -0.492647 \tabularnewline
218 & 2 & 1.33803 & 0.661972 \tabularnewline
219 & 2 & 1.49265 & 0.507353 \tabularnewline
220 & 3 & 1.49265 & 1.50735 \tabularnewline
221 & 0 & 1.33803 & -1.33803 \tabularnewline
222 & 0 & 1.49265 & -1.49265 \tabularnewline
223 & 2 & 1.33803 & 0.661972 \tabularnewline
224 & 0 & 1.33803 & -1.33803 \tabularnewline
225 & 3 & 1.33803 & 1.66197 \tabularnewline
226 & 2 & 1.49265 & 0.507353 \tabularnewline
227 & 1 & 1.33803 & -0.338028 \tabularnewline
228 & 3 & 1.49265 & 1.50735 \tabularnewline
229 & 2 & 1.33803 & 0.661972 \tabularnewline
230 & 2 & 1.33803 & 0.661972 \tabularnewline
231 & 0 & 1.33803 & -1.33803 \tabularnewline
232 & 1 & 1.33803 & -0.338028 \tabularnewline
233 & 2 & 1.49265 & 0.507353 \tabularnewline
234 & 2 & 1.33803 & 0.661972 \tabularnewline
235 & 0 & 1.33803 & -1.33803 \tabularnewline
236 & 3 & 1.33803 & 1.66197 \tabularnewline
237 & 1 & 1.49265 & -0.492647 \tabularnewline
238 & 0 & 1.33803 & -1.33803 \tabularnewline
239 & 0 & 1.33803 & -1.33803 \tabularnewline
240 & 0 & 1.49265 & -1.49265 \tabularnewline
241 & 2 & 1.33803 & 0.661972 \tabularnewline
242 & 0 & 1.49265 & -1.49265 \tabularnewline
243 & 2 & 1.49265 & 0.507353 \tabularnewline
244 & 3 & 1.49265 & 1.50735 \tabularnewline
245 & 2 & 1.49265 & 0.507353 \tabularnewline
246 & 1 & 1.49265 & -0.492647 \tabularnewline
247 & 1 & 1.33803 & -0.338028 \tabularnewline
248 & 1 & 1.33803 & -0.338028 \tabularnewline
249 & 0 & 1.33803 & -1.33803 \tabularnewline
250 & 1 & 1.33803 & -0.338028 \tabularnewline
251 & 0 & 1.33803 & -1.33803 \tabularnewline
252 & 2 & 1.33803 & 0.661972 \tabularnewline
253 & 3 & 1.49265 & 1.50735 \tabularnewline
254 & 1 & 1.49265 & -0.492647 \tabularnewline
255 & 2 & 1.33803 & 0.661972 \tabularnewline
256 & 3 & 1.49265 & 1.50735 \tabularnewline
257 & 3 & 1.49265 & 1.50735 \tabularnewline
258 & 1 & 1.33803 & -0.338028 \tabularnewline
259 & 1 & 1.49265 & -0.492647 \tabularnewline
260 & 0 & 1.49265 & -1.49265 \tabularnewline
261 & 1 & 1.49265 & -0.492647 \tabularnewline
262 & 3 & 1.49265 & 1.50735 \tabularnewline
263 & 0 & 1.49265 & -1.49265 \tabularnewline
264 & 2 & 1.49265 & 0.507353 \tabularnewline
265 & 2 & 1.49265 & 0.507353 \tabularnewline
266 & 2 & 1.49265 & 0.507353 \tabularnewline
267 & 2 & 1.49265 & 0.507353 \tabularnewline
268 & 0 & 1.49265 & -1.49265 \tabularnewline
269 & 3 & 1.49265 & 1.50735 \tabularnewline
270 & 2 & 1.49265 & 0.507353 \tabularnewline
271 & 0 & 1.49265 & -1.49265 \tabularnewline
272 & 2 & 1.49265 & 0.507353 \tabularnewline
273 & 0 & 1.49265 & -1.49265 \tabularnewline
274 & 2 & 1.49265 & 0.507353 \tabularnewline
275 & 2 & 1.49265 & 0.507353 \tabularnewline
276 & 3 & 1.33803 & 1.66197 \tabularnewline
277 & 2 & 1.49265 & 0.507353 \tabularnewline
278 & 2 & 1.49265 & 0.507353 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=264730&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]2[/C][C]1.33803[/C][C]0.661972[/C][/ROW]
[ROW][C]2[/C][C]1[/C][C]1.33803[/C][C]-0.338028[/C][/ROW]
[ROW][C]3[/C][C]2[/C][C]1.33803[/C][C]0.661972[/C][/ROW]
[ROW][C]4[/C][C]0[/C][C]1.33803[/C][C]-1.33803[/C][/ROW]
[ROW][C]5[/C][C]0[/C][C]1.33803[/C][C]-1.33803[/C][/ROW]
[ROW][C]6[/C][C]0[/C][C]1.33803[/C][C]-1.33803[/C][/ROW]
[ROW][C]7[/C][C]2[/C][C]1.33803[/C][C]0.661972[/C][/ROW]
[ROW][C]8[/C][C]2[/C][C]1.33803[/C][C]0.661972[/C][/ROW]
[ROW][C]9[/C][C]0[/C][C]1.33803[/C][C]-1.33803[/C][/ROW]
[ROW][C]10[/C][C]2[/C][C]1.33803[/C][C]0.661972[/C][/ROW]
[ROW][C]11[/C][C]3[/C][C]1.33803[/C][C]1.66197[/C][/ROW]
[ROW][C]12[/C][C]0[/C][C]1.33803[/C][C]-1.33803[/C][/ROW]
[ROW][C]13[/C][C]0[/C][C]1.33803[/C][C]-1.33803[/C][/ROW]
[ROW][C]14[/C][C]2[/C][C]1.33803[/C][C]0.661972[/C][/ROW]
[ROW][C]15[/C][C]1[/C][C]1.33803[/C][C]-0.338028[/C][/ROW]
[ROW][C]16[/C][C]2[/C][C]1.49265[/C][C]0.507353[/C][/ROW]
[ROW][C]17[/C][C]1[/C][C]1.33803[/C][C]-0.338028[/C][/ROW]
[ROW][C]18[/C][C]1[/C][C]1.33803[/C][C]-0.338028[/C][/ROW]
[ROW][C]19[/C][C]1[/C][C]1.49265[/C][C]-0.492647[/C][/ROW]
[ROW][C]20[/C][C]0[/C][C]1.33803[/C][C]-1.33803[/C][/ROW]
[ROW][C]21[/C][C]2[/C][C]1.33803[/C][C]0.661972[/C][/ROW]
[ROW][C]22[/C][C]1[/C][C]1.33803[/C][C]-0.338028[/C][/ROW]
[ROW][C]23[/C][C]1[/C][C]1.33803[/C][C]-0.338028[/C][/ROW]
[ROW][C]24[/C][C]1[/C][C]1.33803[/C][C]-0.338028[/C][/ROW]
[ROW][C]25[/C][C]2[/C][C]1.33803[/C][C]0.661972[/C][/ROW]
[ROW][C]26[/C][C]0[/C][C]1.33803[/C][C]-1.33803[/C][/ROW]
[ROW][C]27[/C][C]1[/C][C]1.49265[/C][C]-0.492647[/C][/ROW]
[ROW][C]28[/C][C]2[/C][C]1.49265[/C][C]0.507353[/C][/ROW]
[ROW][C]29[/C][C]3[/C][C]1.33803[/C][C]1.66197[/C][/ROW]
[ROW][C]30[/C][C]2[/C][C]1.33803[/C][C]0.661972[/C][/ROW]
[ROW][C]31[/C][C]1[/C][C]1.33803[/C][C]-0.338028[/C][/ROW]
[ROW][C]32[/C][C]0[/C][C]1.33803[/C][C]-1.33803[/C][/ROW]
[ROW][C]33[/C][C]2[/C][C]1.33803[/C][C]0.661972[/C][/ROW]
[ROW][C]34[/C][C]2[/C][C]1.33803[/C][C]0.661972[/C][/ROW]
[ROW][C]35[/C][C]3[/C][C]1.33803[/C][C]1.66197[/C][/ROW]
[ROW][C]36[/C][C]3[/C][C]1.33803[/C][C]1.66197[/C][/ROW]
[ROW][C]37[/C][C]1[/C][C]1.33803[/C][C]-0.338028[/C][/ROW]
[ROW][C]38[/C][C]0[/C][C]1.49265[/C][C]-1.49265[/C][/ROW]
[ROW][C]39[/C][C]2[/C][C]1.33803[/C][C]0.661972[/C][/ROW]
[ROW][C]40[/C][C]2[/C][C]1.33803[/C][C]0.661972[/C][/ROW]
[ROW][C]41[/C][C]2[/C][C]1.33803[/C][C]0.661972[/C][/ROW]
[ROW][C]42[/C][C]2[/C][C]1.33803[/C][C]0.661972[/C][/ROW]
[ROW][C]43[/C][C]1[/C][C]1.33803[/C][C]-0.338028[/C][/ROW]
[ROW][C]44[/C][C]3[/C][C]1.33803[/C][C]1.66197[/C][/ROW]
[ROW][C]45[/C][C]2[/C][C]1.49265[/C][C]0.507353[/C][/ROW]
[ROW][C]46[/C][C]2[/C][C]1.33803[/C][C]0.661972[/C][/ROW]
[ROW][C]47[/C][C]0[/C][C]1.33803[/C][C]-1.33803[/C][/ROW]
[ROW][C]48[/C][C]0[/C][C]1.49265[/C][C]-1.49265[/C][/ROW]
[ROW][C]49[/C][C]0[/C][C]1.33803[/C][C]-1.33803[/C][/ROW]
[ROW][C]50[/C][C]3[/C][C]1.49265[/C][C]1.50735[/C][/ROW]
[ROW][C]51[/C][C]2[/C][C]1.49265[/C][C]0.507353[/C][/ROW]
[ROW][C]52[/C][C]0[/C][C]1.49265[/C][C]-1.49265[/C][/ROW]
[ROW][C]53[/C][C]2[/C][C]1.33803[/C][C]0.661972[/C][/ROW]
[ROW][C]54[/C][C]0[/C][C]1.49265[/C][C]-1.49265[/C][/ROW]
[ROW][C]55[/C][C]0[/C][C]1.33803[/C][C]-1.33803[/C][/ROW]
[ROW][C]56[/C][C]2[/C][C]1.33803[/C][C]0.661972[/C][/ROW]
[ROW][C]57[/C][C]3[/C][C]1.49265[/C][C]1.50735[/C][/ROW]
[ROW][C]58[/C][C]0[/C][C]1.33803[/C][C]-1.33803[/C][/ROW]
[ROW][C]59[/C][C]1[/C][C]1.49265[/C][C]-0.492647[/C][/ROW]
[ROW][C]60[/C][C]2[/C][C]1.49265[/C][C]0.507353[/C][/ROW]
[ROW][C]61[/C][C]2[/C][C]1.33803[/C][C]0.661972[/C][/ROW]
[ROW][C]62[/C][C]0[/C][C]1.33803[/C][C]-1.33803[/C][/ROW]
[ROW][C]63[/C][C]3[/C][C]1.33803[/C][C]1.66197[/C][/ROW]
[ROW][C]64[/C][C]2[/C][C]1.33803[/C][C]0.661972[/C][/ROW]
[ROW][C]65[/C][C]0[/C][C]1.33803[/C][C]-1.33803[/C][/ROW]
[ROW][C]66[/C][C]3[/C][C]1.49265[/C][C]1.50735[/C][/ROW]
[ROW][C]67[/C][C]2[/C][C]1.33803[/C][C]0.661972[/C][/ROW]
[ROW][C]68[/C][C]2[/C][C]1.33803[/C][C]0.661972[/C][/ROW]
[ROW][C]69[/C][C]3[/C][C]1.33803[/C][C]1.66197[/C][/ROW]
[ROW][C]70[/C][C]0[/C][C]1.49265[/C][C]-1.49265[/C][/ROW]
[ROW][C]71[/C][C]1[/C][C]1.33803[/C][C]-0.338028[/C][/ROW]
[ROW][C]72[/C][C]2[/C][C]1.33803[/C][C]0.661972[/C][/ROW]
[ROW][C]73[/C][C]1[/C][C]1.49265[/C][C]-0.492647[/C][/ROW]
[ROW][C]74[/C][C]2[/C][C]1.49265[/C][C]0.507353[/C][/ROW]
[ROW][C]75[/C][C]0[/C][C]1.33803[/C][C]-1.33803[/C][/ROW]
[ROW][C]76[/C][C]0[/C][C]1.33803[/C][C]-1.33803[/C][/ROW]
[ROW][C]77[/C][C]2[/C][C]1.49265[/C][C]0.507353[/C][/ROW]
[ROW][C]78[/C][C]1[/C][C]1.33803[/C][C]-0.338028[/C][/ROW]
[ROW][C]79[/C][C]0[/C][C]1.49265[/C][C]-1.49265[/C][/ROW]
[ROW][C]80[/C][C]0[/C][C]1.33803[/C][C]-1.33803[/C][/ROW]
[ROW][C]81[/C][C]1[/C][C]1.49265[/C][C]-0.492647[/C][/ROW]
[ROW][C]82[/C][C]0[/C][C]1.49265[/C][C]-1.49265[/C][/ROW]
[ROW][C]83[/C][C]2[/C][C]1.49265[/C][C]0.507353[/C][/ROW]
[ROW][C]84[/C][C]1[/C][C]1.49265[/C][C]-0.492647[/C][/ROW]
[ROW][C]85[/C][C]2[/C][C]1.49265[/C][C]0.507353[/C][/ROW]
[ROW][C]86[/C][C]1[/C][C]1.49265[/C][C]-0.492647[/C][/ROW]
[ROW][C]87[/C][C]1[/C][C]1.49265[/C][C]-0.492647[/C][/ROW]
[ROW][C]88[/C][C]3[/C][C]1.49265[/C][C]1.50735[/C][/ROW]
[ROW][C]89[/C][C]2[/C][C]1.49265[/C][C]0.507353[/C][/ROW]
[ROW][C]90[/C][C]0[/C][C]1.49265[/C][C]-1.49265[/C][/ROW]
[ROW][C]91[/C][C]2[/C][C]1.49265[/C][C]0.507353[/C][/ROW]
[ROW][C]92[/C][C]1[/C][C]1.49265[/C][C]-0.492647[/C][/ROW]
[ROW][C]93[/C][C]0[/C][C]1.49265[/C][C]-1.49265[/C][/ROW]
[ROW][C]94[/C][C]1[/C][C]1.49265[/C][C]-0.492647[/C][/ROW]
[ROW][C]95[/C][C]0[/C][C]1.49265[/C][C]-1.49265[/C][/ROW]
[ROW][C]96[/C][C]0[/C][C]1.49265[/C][C]-1.49265[/C][/ROW]
[ROW][C]97[/C][C]1[/C][C]1.49265[/C][C]-0.492647[/C][/ROW]
[ROW][C]98[/C][C]2[/C][C]1.49265[/C][C]0.507353[/C][/ROW]
[ROW][C]99[/C][C]2[/C][C]1.49265[/C][C]0.507353[/C][/ROW]
[ROW][C]100[/C][C]2[/C][C]1.49265[/C][C]0.507353[/C][/ROW]
[ROW][C]101[/C][C]2[/C][C]1.49265[/C][C]0.507353[/C][/ROW]
[ROW][C]102[/C][C]3[/C][C]1.49265[/C][C]1.50735[/C][/ROW]
[ROW][C]103[/C][C]0[/C][C]1.49265[/C][C]-1.49265[/C][/ROW]
[ROW][C]104[/C][C]0[/C][C]1.49265[/C][C]-1.49265[/C][/ROW]
[ROW][C]105[/C][C]0[/C][C]1.49265[/C][C]-1.49265[/C][/ROW]
[ROW][C]106[/C][C]0[/C][C]1.49265[/C][C]-1.49265[/C][/ROW]
[ROW][C]107[/C][C]0[/C][C]1.49265[/C][C]-1.49265[/C][/ROW]
[ROW][C]108[/C][C]3[/C][C]1.49265[/C][C]1.50735[/C][/ROW]
[ROW][C]109[/C][C]2[/C][C]1.49265[/C][C]0.507353[/C][/ROW]
[ROW][C]110[/C][C]0[/C][C]1.49265[/C][C]-1.49265[/C][/ROW]
[ROW][C]111[/C][C]2[/C][C]1.49265[/C][C]0.507353[/C][/ROW]
[ROW][C]112[/C][C]2[/C][C]1.49265[/C][C]0.507353[/C][/ROW]
[ROW][C]113[/C][C]0[/C][C]1.33803[/C][C]-1.33803[/C][/ROW]
[ROW][C]114[/C][C]2[/C][C]1.33803[/C][C]0.661972[/C][/ROW]
[ROW][C]115[/C][C]1[/C][C]1.33803[/C][C]-0.338028[/C][/ROW]
[ROW][C]116[/C][C]3[/C][C]1.33803[/C][C]1.66197[/C][/ROW]
[ROW][C]117[/C][C]3[/C][C]1.49265[/C][C]1.50735[/C][/ROW]
[ROW][C]118[/C][C]0[/C][C]1.49265[/C][C]-1.49265[/C][/ROW]
[ROW][C]119[/C][C]3[/C][C]1.33803[/C][C]1.66197[/C][/ROW]
[ROW][C]120[/C][C]2[/C][C]1.33803[/C][C]0.661972[/C][/ROW]
[ROW][C]121[/C][C]2[/C][C]1.33803[/C][C]0.661972[/C][/ROW]
[ROW][C]122[/C][C]0[/C][C]1.33803[/C][C]-1.33803[/C][/ROW]
[ROW][C]123[/C][C]2[/C][C]1.33803[/C][C]0.661972[/C][/ROW]
[ROW][C]124[/C][C]3[/C][C]1.33803[/C][C]1.66197[/C][/ROW]
[ROW][C]125[/C][C]2[/C][C]1.33803[/C][C]0.661972[/C][/ROW]
[ROW][C]126[/C][C]0[/C][C]1.33803[/C][C]-1.33803[/C][/ROW]
[ROW][C]127[/C][C]0[/C][C]1.33803[/C][C]-1.33803[/C][/ROW]
[ROW][C]128[/C][C]0[/C][C]1.33803[/C][C]-1.33803[/C][/ROW]
[ROW][C]129[/C][C]1[/C][C]1.49265[/C][C]-0.492647[/C][/ROW]
[ROW][C]130[/C][C]2[/C][C]1.33803[/C][C]0.661972[/C][/ROW]
[ROW][C]131[/C][C]3[/C][C]1.33803[/C][C]1.66197[/C][/ROW]
[ROW][C]132[/C][C]0[/C][C]1.33803[/C][C]-1.33803[/C][/ROW]
[ROW][C]133[/C][C]2[/C][C]1.33803[/C][C]0.661972[/C][/ROW]
[ROW][C]134[/C][C]2[/C][C]1.33803[/C][C]0.661972[/C][/ROW]
[ROW][C]135[/C][C]1[/C][C]1.33803[/C][C]-0.338028[/C][/ROW]
[ROW][C]136[/C][C]2[/C][C]1.33803[/C][C]0.661972[/C][/ROW]
[ROW][C]137[/C][C]2[/C][C]1.33803[/C][C]0.661972[/C][/ROW]
[ROW][C]138[/C][C]2[/C][C]1.33803[/C][C]0.661972[/C][/ROW]
[ROW][C]139[/C][C]2[/C][C]1.33803[/C][C]0.661972[/C][/ROW]
[ROW][C]140[/C][C]2[/C][C]1.33803[/C][C]0.661972[/C][/ROW]
[ROW][C]141[/C][C]2[/C][C]1.49265[/C][C]0.507353[/C][/ROW]
[ROW][C]142[/C][C]1[/C][C]1.33803[/C][C]-0.338028[/C][/ROW]
[ROW][C]143[/C][C]0[/C][C]1.33803[/C][C]-1.33803[/C][/ROW]
[ROW][C]144[/C][C]2[/C][C]1.33803[/C][C]0.661972[/C][/ROW]
[ROW][C]145[/C][C]0[/C][C]1.33803[/C][C]-1.33803[/C][/ROW]
[ROW][C]146[/C][C]2[/C][C]1.33803[/C][C]0.661972[/C][/ROW]
[ROW][C]147[/C][C]0[/C][C]1.33803[/C][C]-1.33803[/C][/ROW]
[ROW][C]148[/C][C]0[/C][C]1.33803[/C][C]-1.33803[/C][/ROW]
[ROW][C]149[/C][C]0[/C][C]1.33803[/C][C]-1.33803[/C][/ROW]
[ROW][C]150[/C][C]3[/C][C]1.33803[/C][C]1.66197[/C][/ROW]
[ROW][C]151[/C][C]0[/C][C]1.33803[/C][C]-1.33803[/C][/ROW]
[ROW][C]152[/C][C]2[/C][C]1.33803[/C][C]0.661972[/C][/ROW]
[ROW][C]153[/C][C]3[/C][C]1.33803[/C][C]1.66197[/C][/ROW]
[ROW][C]154[/C][C]0[/C][C]1.33803[/C][C]-1.33803[/C][/ROW]
[ROW][C]155[/C][C]2[/C][C]1.49265[/C][C]0.507353[/C][/ROW]
[ROW][C]156[/C][C]0[/C][C]1.49265[/C][C]-1.49265[/C][/ROW]
[ROW][C]157[/C][C]3[/C][C]1.33803[/C][C]1.66197[/C][/ROW]
[ROW][C]158[/C][C]2[/C][C]1.33803[/C][C]0.661972[/C][/ROW]
[ROW][C]159[/C][C]2[/C][C]1.49265[/C][C]0.507353[/C][/ROW]
[ROW][C]160[/C][C]2[/C][C]1.49265[/C][C]0.507353[/C][/ROW]
[ROW][C]161[/C][C]3[/C][C]1.49265[/C][C]1.50735[/C][/ROW]
[ROW][C]162[/C][C]3[/C][C]1.49265[/C][C]1.50735[/C][/ROW]
[ROW][C]163[/C][C]3[/C][C]1.33803[/C][C]1.66197[/C][/ROW]
[ROW][C]164[/C][C]2[/C][C]1.33803[/C][C]0.661972[/C][/ROW]
[ROW][C]165[/C][C]3[/C][C]1.49265[/C][C]1.50735[/C][/ROW]
[ROW][C]166[/C][C]1[/C][C]1.49265[/C][C]-0.492647[/C][/ROW]
[ROW][C]167[/C][C]2[/C][C]1.49265[/C][C]0.507353[/C][/ROW]
[ROW][C]168[/C][C]3[/C][C]1.49265[/C][C]1.50735[/C][/ROW]
[ROW][C]169[/C][C]2[/C][C]1.49265[/C][C]0.507353[/C][/ROW]
[ROW][C]170[/C][C]2[/C][C]1.49265[/C][C]0.507353[/C][/ROW]
[ROW][C]171[/C][C]2[/C][C]1.49265[/C][C]0.507353[/C][/ROW]
[ROW][C]172[/C][C]1[/C][C]1.49265[/C][C]-0.492647[/C][/ROW]
[ROW][C]173[/C][C]3[/C][C]1.49265[/C][C]1.50735[/C][/ROW]
[ROW][C]174[/C][C]2[/C][C]1.33803[/C][C]0.661972[/C][/ROW]
[ROW][C]175[/C][C]2[/C][C]1.33803[/C][C]0.661972[/C][/ROW]
[ROW][C]176[/C][C]1[/C][C]1.49265[/C][C]-0.492647[/C][/ROW]
[ROW][C]177[/C][C]1[/C][C]1.33803[/C][C]-0.338028[/C][/ROW]
[ROW][C]178[/C][C]0[/C][C]1.33803[/C][C]-1.33803[/C][/ROW]
[ROW][C]179[/C][C]1[/C][C]1.49265[/C][C]-0.492647[/C][/ROW]
[ROW][C]180[/C][C]1[/C][C]1.33803[/C][C]-0.338028[/C][/ROW]
[ROW][C]181[/C][C]2[/C][C]1.49265[/C][C]0.507353[/C][/ROW]
[ROW][C]182[/C][C]0[/C][C]1.49265[/C][C]-1.49265[/C][/ROW]
[ROW][C]183[/C][C]3[/C][C]1.33803[/C][C]1.66197[/C][/ROW]
[ROW][C]184[/C][C]1[/C][C]1.49265[/C][C]-0.492647[/C][/ROW]
[ROW][C]185[/C][C]1[/C][C]1.49265[/C][C]-0.492647[/C][/ROW]
[ROW][C]186[/C][C]3[/C][C]1.49265[/C][C]1.50735[/C][/ROW]
[ROW][C]187[/C][C]3[/C][C]1.49265[/C][C]1.50735[/C][/ROW]
[ROW][C]188[/C][C]3[/C][C]1.49265[/C][C]1.50735[/C][/ROW]
[ROW][C]189[/C][C]3[/C][C]1.49265[/C][C]1.50735[/C][/ROW]
[ROW][C]190[/C][C]0[/C][C]1.49265[/C][C]-1.49265[/C][/ROW]
[ROW][C]191[/C][C]2[/C][C]1.49265[/C][C]0.507353[/C][/ROW]
[ROW][C]192[/C][C]1[/C][C]1.49265[/C][C]-0.492647[/C][/ROW]
[ROW][C]193[/C][C]2[/C][C]1.49265[/C][C]0.507353[/C][/ROW]
[ROW][C]194[/C][C]1[/C][C]1.49265[/C][C]-0.492647[/C][/ROW]
[ROW][C]195[/C][C]1[/C][C]1.49265[/C][C]-0.492647[/C][/ROW]
[ROW][C]196[/C][C]3[/C][C]1.49265[/C][C]1.50735[/C][/ROW]
[ROW][C]197[/C][C]1[/C][C]1.33803[/C][C]-0.338028[/C][/ROW]
[ROW][C]198[/C][C]0[/C][C]1.49265[/C][C]-1.49265[/C][/ROW]
[ROW][C]199[/C][C]1[/C][C]1.49265[/C][C]-0.492647[/C][/ROW]
[ROW][C]200[/C][C]1[/C][C]1.49265[/C][C]-0.492647[/C][/ROW]
[ROW][C]201[/C][C]2[/C][C]1.33803[/C][C]0.661972[/C][/ROW]
[ROW][C]202[/C][C]1[/C][C]1.49265[/C][C]-0.492647[/C][/ROW]
[ROW][C]203[/C][C]0[/C][C]1.33803[/C][C]-1.33803[/C][/ROW]
[ROW][C]204[/C][C]2[/C][C]1.49265[/C][C]0.507353[/C][/ROW]
[ROW][C]205[/C][C]2[/C][C]1.33803[/C][C]0.661972[/C][/ROW]
[ROW][C]206[/C][C]3[/C][C]1.49265[/C][C]1.50735[/C][/ROW]
[ROW][C]207[/C][C]0[/C][C]1.33803[/C][C]-1.33803[/C][/ROW]
[ROW][C]208[/C][C]2[/C][C]1.49265[/C][C]0.507353[/C][/ROW]
[ROW][C]209[/C][C]0[/C][C]1.49265[/C][C]-1.49265[/C][/ROW]
[ROW][C]210[/C][C]1[/C][C]1.49265[/C][C]-0.492647[/C][/ROW]
[ROW][C]211[/C][C]2[/C][C]1.49265[/C][C]0.507353[/C][/ROW]
[ROW][C]212[/C][C]1[/C][C]1.33803[/C][C]-0.338028[/C][/ROW]
[ROW][C]213[/C][C]0[/C][C]1.33803[/C][C]-1.33803[/C][/ROW]
[ROW][C]214[/C][C]0[/C][C]1.49265[/C][C]-1.49265[/C][/ROW]
[ROW][C]215[/C][C]2[/C][C]1.33803[/C][C]0.661972[/C][/ROW]
[ROW][C]216[/C][C]0[/C][C]1.33803[/C][C]-1.33803[/C][/ROW]
[ROW][C]217[/C][C]1[/C][C]1.49265[/C][C]-0.492647[/C][/ROW]
[ROW][C]218[/C][C]2[/C][C]1.33803[/C][C]0.661972[/C][/ROW]
[ROW][C]219[/C][C]2[/C][C]1.49265[/C][C]0.507353[/C][/ROW]
[ROW][C]220[/C][C]3[/C][C]1.49265[/C][C]1.50735[/C][/ROW]
[ROW][C]221[/C][C]0[/C][C]1.33803[/C][C]-1.33803[/C][/ROW]
[ROW][C]222[/C][C]0[/C][C]1.49265[/C][C]-1.49265[/C][/ROW]
[ROW][C]223[/C][C]2[/C][C]1.33803[/C][C]0.661972[/C][/ROW]
[ROW][C]224[/C][C]0[/C][C]1.33803[/C][C]-1.33803[/C][/ROW]
[ROW][C]225[/C][C]3[/C][C]1.33803[/C][C]1.66197[/C][/ROW]
[ROW][C]226[/C][C]2[/C][C]1.49265[/C][C]0.507353[/C][/ROW]
[ROW][C]227[/C][C]1[/C][C]1.33803[/C][C]-0.338028[/C][/ROW]
[ROW][C]228[/C][C]3[/C][C]1.49265[/C][C]1.50735[/C][/ROW]
[ROW][C]229[/C][C]2[/C][C]1.33803[/C][C]0.661972[/C][/ROW]
[ROW][C]230[/C][C]2[/C][C]1.33803[/C][C]0.661972[/C][/ROW]
[ROW][C]231[/C][C]0[/C][C]1.33803[/C][C]-1.33803[/C][/ROW]
[ROW][C]232[/C][C]1[/C][C]1.33803[/C][C]-0.338028[/C][/ROW]
[ROW][C]233[/C][C]2[/C][C]1.49265[/C][C]0.507353[/C][/ROW]
[ROW][C]234[/C][C]2[/C][C]1.33803[/C][C]0.661972[/C][/ROW]
[ROW][C]235[/C][C]0[/C][C]1.33803[/C][C]-1.33803[/C][/ROW]
[ROW][C]236[/C][C]3[/C][C]1.33803[/C][C]1.66197[/C][/ROW]
[ROW][C]237[/C][C]1[/C][C]1.49265[/C][C]-0.492647[/C][/ROW]
[ROW][C]238[/C][C]0[/C][C]1.33803[/C][C]-1.33803[/C][/ROW]
[ROW][C]239[/C][C]0[/C][C]1.33803[/C][C]-1.33803[/C][/ROW]
[ROW][C]240[/C][C]0[/C][C]1.49265[/C][C]-1.49265[/C][/ROW]
[ROW][C]241[/C][C]2[/C][C]1.33803[/C][C]0.661972[/C][/ROW]
[ROW][C]242[/C][C]0[/C][C]1.49265[/C][C]-1.49265[/C][/ROW]
[ROW][C]243[/C][C]2[/C][C]1.49265[/C][C]0.507353[/C][/ROW]
[ROW][C]244[/C][C]3[/C][C]1.49265[/C][C]1.50735[/C][/ROW]
[ROW][C]245[/C][C]2[/C][C]1.49265[/C][C]0.507353[/C][/ROW]
[ROW][C]246[/C][C]1[/C][C]1.49265[/C][C]-0.492647[/C][/ROW]
[ROW][C]247[/C][C]1[/C][C]1.33803[/C][C]-0.338028[/C][/ROW]
[ROW][C]248[/C][C]1[/C][C]1.33803[/C][C]-0.338028[/C][/ROW]
[ROW][C]249[/C][C]0[/C][C]1.33803[/C][C]-1.33803[/C][/ROW]
[ROW][C]250[/C][C]1[/C][C]1.33803[/C][C]-0.338028[/C][/ROW]
[ROW][C]251[/C][C]0[/C][C]1.33803[/C][C]-1.33803[/C][/ROW]
[ROW][C]252[/C][C]2[/C][C]1.33803[/C][C]0.661972[/C][/ROW]
[ROW][C]253[/C][C]3[/C][C]1.49265[/C][C]1.50735[/C][/ROW]
[ROW][C]254[/C][C]1[/C][C]1.49265[/C][C]-0.492647[/C][/ROW]
[ROW][C]255[/C][C]2[/C][C]1.33803[/C][C]0.661972[/C][/ROW]
[ROW][C]256[/C][C]3[/C][C]1.49265[/C][C]1.50735[/C][/ROW]
[ROW][C]257[/C][C]3[/C][C]1.49265[/C][C]1.50735[/C][/ROW]
[ROW][C]258[/C][C]1[/C][C]1.33803[/C][C]-0.338028[/C][/ROW]
[ROW][C]259[/C][C]1[/C][C]1.49265[/C][C]-0.492647[/C][/ROW]
[ROW][C]260[/C][C]0[/C][C]1.49265[/C][C]-1.49265[/C][/ROW]
[ROW][C]261[/C][C]1[/C][C]1.49265[/C][C]-0.492647[/C][/ROW]
[ROW][C]262[/C][C]3[/C][C]1.49265[/C][C]1.50735[/C][/ROW]
[ROW][C]263[/C][C]0[/C][C]1.49265[/C][C]-1.49265[/C][/ROW]
[ROW][C]264[/C][C]2[/C][C]1.49265[/C][C]0.507353[/C][/ROW]
[ROW][C]265[/C][C]2[/C][C]1.49265[/C][C]0.507353[/C][/ROW]
[ROW][C]266[/C][C]2[/C][C]1.49265[/C][C]0.507353[/C][/ROW]
[ROW][C]267[/C][C]2[/C][C]1.49265[/C][C]0.507353[/C][/ROW]
[ROW][C]268[/C][C]0[/C][C]1.49265[/C][C]-1.49265[/C][/ROW]
[ROW][C]269[/C][C]3[/C][C]1.49265[/C][C]1.50735[/C][/ROW]
[ROW][C]270[/C][C]2[/C][C]1.49265[/C][C]0.507353[/C][/ROW]
[ROW][C]271[/C][C]0[/C][C]1.49265[/C][C]-1.49265[/C][/ROW]
[ROW][C]272[/C][C]2[/C][C]1.49265[/C][C]0.507353[/C][/ROW]
[ROW][C]273[/C][C]0[/C][C]1.49265[/C][C]-1.49265[/C][/ROW]
[ROW][C]274[/C][C]2[/C][C]1.49265[/C][C]0.507353[/C][/ROW]
[ROW][C]275[/C][C]2[/C][C]1.49265[/C][C]0.507353[/C][/ROW]
[ROW][C]276[/C][C]3[/C][C]1.33803[/C][C]1.66197[/C][/ROW]
[ROW][C]277[/C][C]2[/C][C]1.49265[/C][C]0.507353[/C][/ROW]
[ROW][C]278[/C][C]2[/C][C]1.49265[/C][C]0.507353[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=264730&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=264730&T=4

As an alternative you can also use a QR Code:  

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

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
121.338030.661972
211.33803-0.338028
321.338030.661972
401.33803-1.33803
501.33803-1.33803
601.33803-1.33803
721.338030.661972
821.338030.661972
901.33803-1.33803
1021.338030.661972
1131.338031.66197
1201.33803-1.33803
1301.33803-1.33803
1421.338030.661972
1511.33803-0.338028
1621.492650.507353
1711.33803-0.338028
1811.33803-0.338028
1911.49265-0.492647
2001.33803-1.33803
2121.338030.661972
2211.33803-0.338028
2311.33803-0.338028
2411.33803-0.338028
2521.338030.661972
2601.33803-1.33803
2711.49265-0.492647
2821.492650.507353
2931.338031.66197
3021.338030.661972
3111.33803-0.338028
3201.33803-1.33803
3321.338030.661972
3421.338030.661972
3531.338031.66197
3631.338031.66197
3711.33803-0.338028
3801.49265-1.49265
3921.338030.661972
4021.338030.661972
4121.338030.661972
4221.338030.661972
4311.33803-0.338028
4431.338031.66197
4521.492650.507353
4621.338030.661972
4701.33803-1.33803
4801.49265-1.49265
4901.33803-1.33803
5031.492651.50735
5121.492650.507353
5201.49265-1.49265
5321.338030.661972
5401.49265-1.49265
5501.33803-1.33803
5621.338030.661972
5731.492651.50735
5801.33803-1.33803
5911.49265-0.492647
6021.492650.507353
6121.338030.661972
6201.33803-1.33803
6331.338031.66197
6421.338030.661972
6501.33803-1.33803
6631.492651.50735
6721.338030.661972
6821.338030.661972
6931.338031.66197
7001.49265-1.49265
7111.33803-0.338028
7221.338030.661972
7311.49265-0.492647
7421.492650.507353
7501.33803-1.33803
7601.33803-1.33803
7721.492650.507353
7811.33803-0.338028
7901.49265-1.49265
8001.33803-1.33803
8111.49265-0.492647
8201.49265-1.49265
8321.492650.507353
8411.49265-0.492647
8521.492650.507353
8611.49265-0.492647
8711.49265-0.492647
8831.492651.50735
8921.492650.507353
9001.49265-1.49265
9121.492650.507353
9211.49265-0.492647
9301.49265-1.49265
9411.49265-0.492647
9501.49265-1.49265
9601.49265-1.49265
9711.49265-0.492647
9821.492650.507353
9921.492650.507353
10021.492650.507353
10121.492650.507353
10231.492651.50735
10301.49265-1.49265
10401.49265-1.49265
10501.49265-1.49265
10601.49265-1.49265
10701.49265-1.49265
10831.492651.50735
10921.492650.507353
11001.49265-1.49265
11121.492650.507353
11221.492650.507353
11301.33803-1.33803
11421.338030.661972
11511.33803-0.338028
11631.338031.66197
11731.492651.50735
11801.49265-1.49265
11931.338031.66197
12021.338030.661972
12121.338030.661972
12201.33803-1.33803
12321.338030.661972
12431.338031.66197
12521.338030.661972
12601.33803-1.33803
12701.33803-1.33803
12801.33803-1.33803
12911.49265-0.492647
13021.338030.661972
13131.338031.66197
13201.33803-1.33803
13321.338030.661972
13421.338030.661972
13511.33803-0.338028
13621.338030.661972
13721.338030.661972
13821.338030.661972
13921.338030.661972
14021.338030.661972
14121.492650.507353
14211.33803-0.338028
14301.33803-1.33803
14421.338030.661972
14501.33803-1.33803
14621.338030.661972
14701.33803-1.33803
14801.33803-1.33803
14901.33803-1.33803
15031.338031.66197
15101.33803-1.33803
15221.338030.661972
15331.338031.66197
15401.33803-1.33803
15521.492650.507353
15601.49265-1.49265
15731.338031.66197
15821.338030.661972
15921.492650.507353
16021.492650.507353
16131.492651.50735
16231.492651.50735
16331.338031.66197
16421.338030.661972
16531.492651.50735
16611.49265-0.492647
16721.492650.507353
16831.492651.50735
16921.492650.507353
17021.492650.507353
17121.492650.507353
17211.49265-0.492647
17331.492651.50735
17421.338030.661972
17521.338030.661972
17611.49265-0.492647
17711.33803-0.338028
17801.33803-1.33803
17911.49265-0.492647
18011.33803-0.338028
18121.492650.507353
18201.49265-1.49265
18331.338031.66197
18411.49265-0.492647
18511.49265-0.492647
18631.492651.50735
18731.492651.50735
18831.492651.50735
18931.492651.50735
19001.49265-1.49265
19121.492650.507353
19211.49265-0.492647
19321.492650.507353
19411.49265-0.492647
19511.49265-0.492647
19631.492651.50735
19711.33803-0.338028
19801.49265-1.49265
19911.49265-0.492647
20011.49265-0.492647
20121.338030.661972
20211.49265-0.492647
20301.33803-1.33803
20421.492650.507353
20521.338030.661972
20631.492651.50735
20701.33803-1.33803
20821.492650.507353
20901.49265-1.49265
21011.49265-0.492647
21121.492650.507353
21211.33803-0.338028
21301.33803-1.33803
21401.49265-1.49265
21521.338030.661972
21601.33803-1.33803
21711.49265-0.492647
21821.338030.661972
21921.492650.507353
22031.492651.50735
22101.33803-1.33803
22201.49265-1.49265
22321.338030.661972
22401.33803-1.33803
22531.338031.66197
22621.492650.507353
22711.33803-0.338028
22831.492651.50735
22921.338030.661972
23021.338030.661972
23101.33803-1.33803
23211.33803-0.338028
23321.492650.507353
23421.338030.661972
23501.33803-1.33803
23631.338031.66197
23711.49265-0.492647
23801.33803-1.33803
23901.33803-1.33803
24001.49265-1.49265
24121.338030.661972
24201.49265-1.49265
24321.492650.507353
24431.492651.50735
24521.492650.507353
24611.49265-0.492647
24711.33803-0.338028
24811.33803-0.338028
24901.33803-1.33803
25011.33803-0.338028
25101.33803-1.33803
25221.338030.661972
25331.492651.50735
25411.49265-0.492647
25521.338030.661972
25631.492651.50735
25731.492651.50735
25811.33803-0.338028
25911.49265-0.492647
26001.49265-1.49265
26111.49265-0.492647
26231.492651.50735
26301.49265-1.49265
26421.492650.507353
26521.492650.507353
26621.492650.507353
26721.492650.507353
26801.49265-1.49265
26931.492651.50735
27021.492650.507353
27101.49265-1.49265
27221.492650.507353
27301.49265-1.49265
27421.492650.507353
27521.492650.507353
27631.338031.66197
27721.492650.507353
27821.492650.507353







Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
50.6867650.626470.313235
60.6345980.7308050.365402
70.6242110.7515790.375789
80.5887160.8225670.411284
90.5838510.8322970.416149
100.5575930.8848130.442407
110.713480.5730390.28652
120.7272840.5454310.272716
130.7281360.5437280.271864
140.700470.5990590.29953
150.6271780.7456450.372822
160.550290.8994190.44971
170.4740120.9480240.525988
180.4002580.8005170.599742
190.3615210.7230420.638479
200.3715240.7430480.628476
210.3562260.7124510.643774
220.2950550.590110.704945
230.2400780.4801560.759922
240.1919170.3838340.808083
250.1819980.3639960.818002
260.194190.388380.80581
270.1603220.3206440.839678
280.1364450.2728890.863555
290.2352880.4705770.764712
300.2191540.4383080.780846
310.1800710.3601420.819929
320.1950280.3900570.804972
330.1824220.3648440.817578
340.1690480.3380950.830952
350.2474720.4949450.752528
360.3270070.6540130.672993
370.2848660.5697330.715134
380.3180520.6361050.681948
390.2925280.5850560.707472
400.2674440.5348880.732556
410.243040.486080.75696
420.2195260.4390520.780474
430.1888740.3777480.811126
440.2427860.4855730.757214
450.2230910.4461810.776909
460.2001110.4002220.799889
470.2295740.4591490.770426
480.249160.4983210.75084
490.277560.5551210.72244
500.3454020.6908050.654598
510.316660.633320.68334
520.3485480.6970960.651452
530.3231070.6462140.676893
540.3444340.6888690.655566
550.371880.7437590.62812
560.3469690.6939380.653031
570.4132580.8265160.586742
580.4390220.8780440.560978
590.4023380.8046760.597662
600.3764970.7529950.623503
610.3527420.7054840.647258
620.3764930.7529860.623507
630.4370350.874070.562965
640.4119760.8239530.588024
650.4368750.873750.563125
660.4849990.9699990.515001
670.4603340.9206680.539666
680.4356110.8712220.564389
690.4911880.9823770.508812
700.524520.9509610.47548
710.4897350.979470.510265
720.4644710.9289420.535529
730.4312840.8625680.568716
740.4052220.8104440.594778
750.4305250.8610490.569475
760.4544080.9088160.545592
770.4273240.8546480.572676
780.3937470.7874940.606253
790.42380.84760.5762
800.4458620.8917240.554138
810.4138360.8276720.586164
820.4391470.8782940.560853
830.4161690.8323380.583831
840.3845330.7690650.615467
850.3619740.7239490.638026
860.3321610.6643220.667839
870.3033540.6067080.696646
880.3488520.6977040.651148
890.3255880.6511750.674412
900.352470.7049390.64753
910.3297820.6595640.670218
920.3021970.6043930.697803
930.3270040.6540090.672996
940.2992720.5985450.700728
950.3222150.644430.677785
960.3445760.6891530.655424
970.3161580.6323160.683842
980.2976010.5952020.702399
990.2790380.5580770.720962
1000.2606030.5212070.739397
1010.242420.484840.75758
1020.2814020.5628030.718598
1030.3059950.6119910.694005
1040.3306290.6612580.669371
1050.3553430.7106860.644657
1060.3801940.7603880.619806
1070.4052510.8105020.594749
1080.4550010.9100020.544999
1090.4331320.8662650.566868
1100.4603460.9206930.539654
1110.4385730.8771460.561427
1120.4165890.8331780.583411
1130.4369850.873970.563015
1140.416790.8335790.58321
1150.3863780.7727570.613622
1160.4377310.8754610.562269
1170.4818890.9637770.518111
1180.5114440.9771120.488556
1190.562420.875160.43758
1200.5415240.9169510.458476
1210.5204960.9590080.479504
1220.5418380.9163240.458162
1230.5209430.9581130.479057
1240.571260.8574810.42874
1250.5505670.8988650.449433
1260.5716910.8566180.428309
1270.5923250.8153490.407675
1280.6125490.7749010.387451
1290.5863590.8272830.413641
1300.5660.8680010.434
1310.6156410.7687170.384359
1320.635480.7290390.36452
1330.6158710.7682580.384129
1340.596030.807940.40397
1350.5659580.8680850.434042
1360.545670.908660.45433
1370.5253710.9492590.474629
1380.5051340.9897320.494866
1390.4850350.9700690.514965
1400.4651450.9302910.534855
1410.4414110.8828220.558589
1420.4111380.8222760.588862
1430.4306860.8613730.569314
1440.4110910.8221810.588909
1450.4305570.8611150.569443
1460.4109040.8218080.589096
1470.4303690.8607390.569631
1480.4504050.900810.549595
1490.4711180.9422370.528882
1500.5222960.9554070.477704
1510.5429430.9141140.457057
1520.5222920.9554160.477708
1530.5741670.8516670.425833
1540.5938720.8122550.406128
1550.5692490.8615020.430751
1560.6041350.7917290.395865
1570.6547810.6904370.345219
1580.6365210.7269580.363479
1590.6122830.7754340.387717
1600.587370.8252590.41263
1610.6223230.7553540.377677
1620.6557920.6884160.344208
1630.7064650.587070.293535
1640.6905380.6189230.309462
1650.7212060.5575880.278794
1660.6987620.6024750.301238
1670.6746470.6507060.325353
1680.7056290.5887430.294371
1690.6815190.6369620.318481
1700.6565430.6869150.343457
1710.6307980.7384040.369202
1720.6052630.7894740.394737
1730.6384570.7230870.361543
1740.6215440.7569120.378456
1750.6049880.7900240.395012
1760.5786960.8426080.421304
1770.5458650.908270.454135
1780.5605930.8788140.439407
1790.5337470.9325050.466253
1800.5004310.9991380.499569
1810.4720880.9441760.527912
1820.5106580.9786840.489342
1830.5738760.8522480.426124
1840.5474890.9050210.452511
1850.5210440.9579120.478956
1860.554520.8909590.44548
1870.5885580.8228850.411442
1880.6230910.7538190.376909
1890.6580140.6839720.341986
1900.693380.613240.30662
1910.6672880.6654240.332712
1920.6411360.7177270.358864
1930.6132910.7734180.386709
1940.5857370.8285250.414263
1950.5578870.8842250.442113
1960.5939880.8120240.406012
1970.5588940.8822110.441106
1980.5987260.8025490.401274
1990.5710130.8579740.428987
2000.543140.9137210.45686
2010.526820.946360.47318
2020.4987940.9975880.501206
2030.5110750.977850.488925
2040.4794090.9588170.520591
2050.4624370.9248740.537563
2060.4977690.9955390.502231
2070.5102430.9795140.489757
2080.4786940.9573880.521306
2090.5221580.9556840.477842
2100.4931540.9863070.506846
2110.4602950.9205890.539705
2120.4225020.8450040.577498
2130.4368530.8737070.563147
2140.4843530.9687060.515647
2150.4643510.9287030.535649
2160.4802340.9604680.519766
2170.4518110.9036220.548189
2180.4309220.8618450.569078
2190.3962010.7924020.603799
2200.4284450.8568890.571555
2210.4451620.8903250.554838
2220.4969810.9939610.503019
2230.4745040.9490080.525496
2240.4937350.987470.506265
2250.5680730.8638550.431927
2260.5306130.9387730.469387
2270.4883040.9766090.511696
2280.5243570.9512850.475643
2290.5038640.9922730.496136
2300.4857290.9714570.514271
2310.49750.9950010.5025
2320.453250.90650.54675
2330.4151080.8302170.584892
2340.3949090.7898180.605091
2350.4079120.8158230.592088
2360.498370.996740.50163
2370.4632210.9264430.536779
2380.4730270.9460540.526973
2390.4925610.9851220.507439
2400.5569110.8861770.443089
2410.5301350.9397290.469865
2420.604960.7900790.39504
2430.5586460.8827090.441354
2440.5942270.8115450.405773
2450.5480950.9038090.451905
2460.5122760.9754480.487724
2470.4598240.9196480.540176
2480.4081320.8162640.591868
2490.4454080.8908160.554592
2500.4023810.8047620.597619
2510.5015020.9969960.498498
2520.443440.886880.55656
2530.4868670.9737340.513133
2540.4437950.887590.556205
2550.3835150.767030.616485
2560.4307990.8615990.569201
2570.4939850.987970.506015
2580.5415250.916950.458475
2590.4854950.9709890.514505
2600.569470.861060.43053
2610.5187670.9624670.481233
2620.5858650.828270.414135
2630.6944230.6111540.305577
2640.6261750.747650.373825
2650.5527480.8945050.447252
2660.47660.9531990.5234
2670.4006720.8013440.599328
2680.5198150.9603690.480185
2690.6167840.7664320.383216
2700.5301470.9397060.469853
2710.7039150.5921690.296085
2720.5816970.8366060.418303
27319.84728e-474.92364e-47

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
5 & 0.686765 & 0.62647 & 0.313235 \tabularnewline
6 & 0.634598 & 0.730805 & 0.365402 \tabularnewline
7 & 0.624211 & 0.751579 & 0.375789 \tabularnewline
8 & 0.588716 & 0.822567 & 0.411284 \tabularnewline
9 & 0.583851 & 0.832297 & 0.416149 \tabularnewline
10 & 0.557593 & 0.884813 & 0.442407 \tabularnewline
11 & 0.71348 & 0.573039 & 0.28652 \tabularnewline
12 & 0.727284 & 0.545431 & 0.272716 \tabularnewline
13 & 0.728136 & 0.543728 & 0.271864 \tabularnewline
14 & 0.70047 & 0.599059 & 0.29953 \tabularnewline
15 & 0.627178 & 0.745645 & 0.372822 \tabularnewline
16 & 0.55029 & 0.899419 & 0.44971 \tabularnewline
17 & 0.474012 & 0.948024 & 0.525988 \tabularnewline
18 & 0.400258 & 0.800517 & 0.599742 \tabularnewline
19 & 0.361521 & 0.723042 & 0.638479 \tabularnewline
20 & 0.371524 & 0.743048 & 0.628476 \tabularnewline
21 & 0.356226 & 0.712451 & 0.643774 \tabularnewline
22 & 0.295055 & 0.59011 & 0.704945 \tabularnewline
23 & 0.240078 & 0.480156 & 0.759922 \tabularnewline
24 & 0.191917 & 0.383834 & 0.808083 \tabularnewline
25 & 0.181998 & 0.363996 & 0.818002 \tabularnewline
26 & 0.19419 & 0.38838 & 0.80581 \tabularnewline
27 & 0.160322 & 0.320644 & 0.839678 \tabularnewline
28 & 0.136445 & 0.272889 & 0.863555 \tabularnewline
29 & 0.235288 & 0.470577 & 0.764712 \tabularnewline
30 & 0.219154 & 0.438308 & 0.780846 \tabularnewline
31 & 0.180071 & 0.360142 & 0.819929 \tabularnewline
32 & 0.195028 & 0.390057 & 0.804972 \tabularnewline
33 & 0.182422 & 0.364844 & 0.817578 \tabularnewline
34 & 0.169048 & 0.338095 & 0.830952 \tabularnewline
35 & 0.247472 & 0.494945 & 0.752528 \tabularnewline
36 & 0.327007 & 0.654013 & 0.672993 \tabularnewline
37 & 0.284866 & 0.569733 & 0.715134 \tabularnewline
38 & 0.318052 & 0.636105 & 0.681948 \tabularnewline
39 & 0.292528 & 0.585056 & 0.707472 \tabularnewline
40 & 0.267444 & 0.534888 & 0.732556 \tabularnewline
41 & 0.24304 & 0.48608 & 0.75696 \tabularnewline
42 & 0.219526 & 0.439052 & 0.780474 \tabularnewline
43 & 0.188874 & 0.377748 & 0.811126 \tabularnewline
44 & 0.242786 & 0.485573 & 0.757214 \tabularnewline
45 & 0.223091 & 0.446181 & 0.776909 \tabularnewline
46 & 0.200111 & 0.400222 & 0.799889 \tabularnewline
47 & 0.229574 & 0.459149 & 0.770426 \tabularnewline
48 & 0.24916 & 0.498321 & 0.75084 \tabularnewline
49 & 0.27756 & 0.555121 & 0.72244 \tabularnewline
50 & 0.345402 & 0.690805 & 0.654598 \tabularnewline
51 & 0.31666 & 0.63332 & 0.68334 \tabularnewline
52 & 0.348548 & 0.697096 & 0.651452 \tabularnewline
53 & 0.323107 & 0.646214 & 0.676893 \tabularnewline
54 & 0.344434 & 0.688869 & 0.655566 \tabularnewline
55 & 0.37188 & 0.743759 & 0.62812 \tabularnewline
56 & 0.346969 & 0.693938 & 0.653031 \tabularnewline
57 & 0.413258 & 0.826516 & 0.586742 \tabularnewline
58 & 0.439022 & 0.878044 & 0.560978 \tabularnewline
59 & 0.402338 & 0.804676 & 0.597662 \tabularnewline
60 & 0.376497 & 0.752995 & 0.623503 \tabularnewline
61 & 0.352742 & 0.705484 & 0.647258 \tabularnewline
62 & 0.376493 & 0.752986 & 0.623507 \tabularnewline
63 & 0.437035 & 0.87407 & 0.562965 \tabularnewline
64 & 0.411976 & 0.823953 & 0.588024 \tabularnewline
65 & 0.436875 & 0.87375 & 0.563125 \tabularnewline
66 & 0.484999 & 0.969999 & 0.515001 \tabularnewline
67 & 0.460334 & 0.920668 & 0.539666 \tabularnewline
68 & 0.435611 & 0.871222 & 0.564389 \tabularnewline
69 & 0.491188 & 0.982377 & 0.508812 \tabularnewline
70 & 0.52452 & 0.950961 & 0.47548 \tabularnewline
71 & 0.489735 & 0.97947 & 0.510265 \tabularnewline
72 & 0.464471 & 0.928942 & 0.535529 \tabularnewline
73 & 0.431284 & 0.862568 & 0.568716 \tabularnewline
74 & 0.405222 & 0.810444 & 0.594778 \tabularnewline
75 & 0.430525 & 0.861049 & 0.569475 \tabularnewline
76 & 0.454408 & 0.908816 & 0.545592 \tabularnewline
77 & 0.427324 & 0.854648 & 0.572676 \tabularnewline
78 & 0.393747 & 0.787494 & 0.606253 \tabularnewline
79 & 0.4238 & 0.8476 & 0.5762 \tabularnewline
80 & 0.445862 & 0.891724 & 0.554138 \tabularnewline
81 & 0.413836 & 0.827672 & 0.586164 \tabularnewline
82 & 0.439147 & 0.878294 & 0.560853 \tabularnewline
83 & 0.416169 & 0.832338 & 0.583831 \tabularnewline
84 & 0.384533 & 0.769065 & 0.615467 \tabularnewline
85 & 0.361974 & 0.723949 & 0.638026 \tabularnewline
86 & 0.332161 & 0.664322 & 0.667839 \tabularnewline
87 & 0.303354 & 0.606708 & 0.696646 \tabularnewline
88 & 0.348852 & 0.697704 & 0.651148 \tabularnewline
89 & 0.325588 & 0.651175 & 0.674412 \tabularnewline
90 & 0.35247 & 0.704939 & 0.64753 \tabularnewline
91 & 0.329782 & 0.659564 & 0.670218 \tabularnewline
92 & 0.302197 & 0.604393 & 0.697803 \tabularnewline
93 & 0.327004 & 0.654009 & 0.672996 \tabularnewline
94 & 0.299272 & 0.598545 & 0.700728 \tabularnewline
95 & 0.322215 & 0.64443 & 0.677785 \tabularnewline
96 & 0.344576 & 0.689153 & 0.655424 \tabularnewline
97 & 0.316158 & 0.632316 & 0.683842 \tabularnewline
98 & 0.297601 & 0.595202 & 0.702399 \tabularnewline
99 & 0.279038 & 0.558077 & 0.720962 \tabularnewline
100 & 0.260603 & 0.521207 & 0.739397 \tabularnewline
101 & 0.24242 & 0.48484 & 0.75758 \tabularnewline
102 & 0.281402 & 0.562803 & 0.718598 \tabularnewline
103 & 0.305995 & 0.611991 & 0.694005 \tabularnewline
104 & 0.330629 & 0.661258 & 0.669371 \tabularnewline
105 & 0.355343 & 0.710686 & 0.644657 \tabularnewline
106 & 0.380194 & 0.760388 & 0.619806 \tabularnewline
107 & 0.405251 & 0.810502 & 0.594749 \tabularnewline
108 & 0.455001 & 0.910002 & 0.544999 \tabularnewline
109 & 0.433132 & 0.866265 & 0.566868 \tabularnewline
110 & 0.460346 & 0.920693 & 0.539654 \tabularnewline
111 & 0.438573 & 0.877146 & 0.561427 \tabularnewline
112 & 0.416589 & 0.833178 & 0.583411 \tabularnewline
113 & 0.436985 & 0.87397 & 0.563015 \tabularnewline
114 & 0.41679 & 0.833579 & 0.58321 \tabularnewline
115 & 0.386378 & 0.772757 & 0.613622 \tabularnewline
116 & 0.437731 & 0.875461 & 0.562269 \tabularnewline
117 & 0.481889 & 0.963777 & 0.518111 \tabularnewline
118 & 0.511444 & 0.977112 & 0.488556 \tabularnewline
119 & 0.56242 & 0.87516 & 0.43758 \tabularnewline
120 & 0.541524 & 0.916951 & 0.458476 \tabularnewline
121 & 0.520496 & 0.959008 & 0.479504 \tabularnewline
122 & 0.541838 & 0.916324 & 0.458162 \tabularnewline
123 & 0.520943 & 0.958113 & 0.479057 \tabularnewline
124 & 0.57126 & 0.857481 & 0.42874 \tabularnewline
125 & 0.550567 & 0.898865 & 0.449433 \tabularnewline
126 & 0.571691 & 0.856618 & 0.428309 \tabularnewline
127 & 0.592325 & 0.815349 & 0.407675 \tabularnewline
128 & 0.612549 & 0.774901 & 0.387451 \tabularnewline
129 & 0.586359 & 0.827283 & 0.413641 \tabularnewline
130 & 0.566 & 0.868001 & 0.434 \tabularnewline
131 & 0.615641 & 0.768717 & 0.384359 \tabularnewline
132 & 0.63548 & 0.729039 & 0.36452 \tabularnewline
133 & 0.615871 & 0.768258 & 0.384129 \tabularnewline
134 & 0.59603 & 0.80794 & 0.40397 \tabularnewline
135 & 0.565958 & 0.868085 & 0.434042 \tabularnewline
136 & 0.54567 & 0.90866 & 0.45433 \tabularnewline
137 & 0.525371 & 0.949259 & 0.474629 \tabularnewline
138 & 0.505134 & 0.989732 & 0.494866 \tabularnewline
139 & 0.485035 & 0.970069 & 0.514965 \tabularnewline
140 & 0.465145 & 0.930291 & 0.534855 \tabularnewline
141 & 0.441411 & 0.882822 & 0.558589 \tabularnewline
142 & 0.411138 & 0.822276 & 0.588862 \tabularnewline
143 & 0.430686 & 0.861373 & 0.569314 \tabularnewline
144 & 0.411091 & 0.822181 & 0.588909 \tabularnewline
145 & 0.430557 & 0.861115 & 0.569443 \tabularnewline
146 & 0.410904 & 0.821808 & 0.589096 \tabularnewline
147 & 0.430369 & 0.860739 & 0.569631 \tabularnewline
148 & 0.450405 & 0.90081 & 0.549595 \tabularnewline
149 & 0.471118 & 0.942237 & 0.528882 \tabularnewline
150 & 0.522296 & 0.955407 & 0.477704 \tabularnewline
151 & 0.542943 & 0.914114 & 0.457057 \tabularnewline
152 & 0.522292 & 0.955416 & 0.477708 \tabularnewline
153 & 0.574167 & 0.851667 & 0.425833 \tabularnewline
154 & 0.593872 & 0.812255 & 0.406128 \tabularnewline
155 & 0.569249 & 0.861502 & 0.430751 \tabularnewline
156 & 0.604135 & 0.791729 & 0.395865 \tabularnewline
157 & 0.654781 & 0.690437 & 0.345219 \tabularnewline
158 & 0.636521 & 0.726958 & 0.363479 \tabularnewline
159 & 0.612283 & 0.775434 & 0.387717 \tabularnewline
160 & 0.58737 & 0.825259 & 0.41263 \tabularnewline
161 & 0.622323 & 0.755354 & 0.377677 \tabularnewline
162 & 0.655792 & 0.688416 & 0.344208 \tabularnewline
163 & 0.706465 & 0.58707 & 0.293535 \tabularnewline
164 & 0.690538 & 0.618923 & 0.309462 \tabularnewline
165 & 0.721206 & 0.557588 & 0.278794 \tabularnewline
166 & 0.698762 & 0.602475 & 0.301238 \tabularnewline
167 & 0.674647 & 0.650706 & 0.325353 \tabularnewline
168 & 0.705629 & 0.588743 & 0.294371 \tabularnewline
169 & 0.681519 & 0.636962 & 0.318481 \tabularnewline
170 & 0.656543 & 0.686915 & 0.343457 \tabularnewline
171 & 0.630798 & 0.738404 & 0.369202 \tabularnewline
172 & 0.605263 & 0.789474 & 0.394737 \tabularnewline
173 & 0.638457 & 0.723087 & 0.361543 \tabularnewline
174 & 0.621544 & 0.756912 & 0.378456 \tabularnewline
175 & 0.604988 & 0.790024 & 0.395012 \tabularnewline
176 & 0.578696 & 0.842608 & 0.421304 \tabularnewline
177 & 0.545865 & 0.90827 & 0.454135 \tabularnewline
178 & 0.560593 & 0.878814 & 0.439407 \tabularnewline
179 & 0.533747 & 0.932505 & 0.466253 \tabularnewline
180 & 0.500431 & 0.999138 & 0.499569 \tabularnewline
181 & 0.472088 & 0.944176 & 0.527912 \tabularnewline
182 & 0.510658 & 0.978684 & 0.489342 \tabularnewline
183 & 0.573876 & 0.852248 & 0.426124 \tabularnewline
184 & 0.547489 & 0.905021 & 0.452511 \tabularnewline
185 & 0.521044 & 0.957912 & 0.478956 \tabularnewline
186 & 0.55452 & 0.890959 & 0.44548 \tabularnewline
187 & 0.588558 & 0.822885 & 0.411442 \tabularnewline
188 & 0.623091 & 0.753819 & 0.376909 \tabularnewline
189 & 0.658014 & 0.683972 & 0.341986 \tabularnewline
190 & 0.69338 & 0.61324 & 0.30662 \tabularnewline
191 & 0.667288 & 0.665424 & 0.332712 \tabularnewline
192 & 0.641136 & 0.717727 & 0.358864 \tabularnewline
193 & 0.613291 & 0.773418 & 0.386709 \tabularnewline
194 & 0.585737 & 0.828525 & 0.414263 \tabularnewline
195 & 0.557887 & 0.884225 & 0.442113 \tabularnewline
196 & 0.593988 & 0.812024 & 0.406012 \tabularnewline
197 & 0.558894 & 0.882211 & 0.441106 \tabularnewline
198 & 0.598726 & 0.802549 & 0.401274 \tabularnewline
199 & 0.571013 & 0.857974 & 0.428987 \tabularnewline
200 & 0.54314 & 0.913721 & 0.45686 \tabularnewline
201 & 0.52682 & 0.94636 & 0.47318 \tabularnewline
202 & 0.498794 & 0.997588 & 0.501206 \tabularnewline
203 & 0.511075 & 0.97785 & 0.488925 \tabularnewline
204 & 0.479409 & 0.958817 & 0.520591 \tabularnewline
205 & 0.462437 & 0.924874 & 0.537563 \tabularnewline
206 & 0.497769 & 0.995539 & 0.502231 \tabularnewline
207 & 0.510243 & 0.979514 & 0.489757 \tabularnewline
208 & 0.478694 & 0.957388 & 0.521306 \tabularnewline
209 & 0.522158 & 0.955684 & 0.477842 \tabularnewline
210 & 0.493154 & 0.986307 & 0.506846 \tabularnewline
211 & 0.460295 & 0.920589 & 0.539705 \tabularnewline
212 & 0.422502 & 0.845004 & 0.577498 \tabularnewline
213 & 0.436853 & 0.873707 & 0.563147 \tabularnewline
214 & 0.484353 & 0.968706 & 0.515647 \tabularnewline
215 & 0.464351 & 0.928703 & 0.535649 \tabularnewline
216 & 0.480234 & 0.960468 & 0.519766 \tabularnewline
217 & 0.451811 & 0.903622 & 0.548189 \tabularnewline
218 & 0.430922 & 0.861845 & 0.569078 \tabularnewline
219 & 0.396201 & 0.792402 & 0.603799 \tabularnewline
220 & 0.428445 & 0.856889 & 0.571555 \tabularnewline
221 & 0.445162 & 0.890325 & 0.554838 \tabularnewline
222 & 0.496981 & 0.993961 & 0.503019 \tabularnewline
223 & 0.474504 & 0.949008 & 0.525496 \tabularnewline
224 & 0.493735 & 0.98747 & 0.506265 \tabularnewline
225 & 0.568073 & 0.863855 & 0.431927 \tabularnewline
226 & 0.530613 & 0.938773 & 0.469387 \tabularnewline
227 & 0.488304 & 0.976609 & 0.511696 \tabularnewline
228 & 0.524357 & 0.951285 & 0.475643 \tabularnewline
229 & 0.503864 & 0.992273 & 0.496136 \tabularnewline
230 & 0.485729 & 0.971457 & 0.514271 \tabularnewline
231 & 0.4975 & 0.995001 & 0.5025 \tabularnewline
232 & 0.45325 & 0.9065 & 0.54675 \tabularnewline
233 & 0.415108 & 0.830217 & 0.584892 \tabularnewline
234 & 0.394909 & 0.789818 & 0.605091 \tabularnewline
235 & 0.407912 & 0.815823 & 0.592088 \tabularnewline
236 & 0.49837 & 0.99674 & 0.50163 \tabularnewline
237 & 0.463221 & 0.926443 & 0.536779 \tabularnewline
238 & 0.473027 & 0.946054 & 0.526973 \tabularnewline
239 & 0.492561 & 0.985122 & 0.507439 \tabularnewline
240 & 0.556911 & 0.886177 & 0.443089 \tabularnewline
241 & 0.530135 & 0.939729 & 0.469865 \tabularnewline
242 & 0.60496 & 0.790079 & 0.39504 \tabularnewline
243 & 0.558646 & 0.882709 & 0.441354 \tabularnewline
244 & 0.594227 & 0.811545 & 0.405773 \tabularnewline
245 & 0.548095 & 0.903809 & 0.451905 \tabularnewline
246 & 0.512276 & 0.975448 & 0.487724 \tabularnewline
247 & 0.459824 & 0.919648 & 0.540176 \tabularnewline
248 & 0.408132 & 0.816264 & 0.591868 \tabularnewline
249 & 0.445408 & 0.890816 & 0.554592 \tabularnewline
250 & 0.402381 & 0.804762 & 0.597619 \tabularnewline
251 & 0.501502 & 0.996996 & 0.498498 \tabularnewline
252 & 0.44344 & 0.88688 & 0.55656 \tabularnewline
253 & 0.486867 & 0.973734 & 0.513133 \tabularnewline
254 & 0.443795 & 0.88759 & 0.556205 \tabularnewline
255 & 0.383515 & 0.76703 & 0.616485 \tabularnewline
256 & 0.430799 & 0.861599 & 0.569201 \tabularnewline
257 & 0.493985 & 0.98797 & 0.506015 \tabularnewline
258 & 0.541525 & 0.91695 & 0.458475 \tabularnewline
259 & 0.485495 & 0.970989 & 0.514505 \tabularnewline
260 & 0.56947 & 0.86106 & 0.43053 \tabularnewline
261 & 0.518767 & 0.962467 & 0.481233 \tabularnewline
262 & 0.585865 & 0.82827 & 0.414135 \tabularnewline
263 & 0.694423 & 0.611154 & 0.305577 \tabularnewline
264 & 0.626175 & 0.74765 & 0.373825 \tabularnewline
265 & 0.552748 & 0.894505 & 0.447252 \tabularnewline
266 & 0.4766 & 0.953199 & 0.5234 \tabularnewline
267 & 0.400672 & 0.801344 & 0.599328 \tabularnewline
268 & 0.519815 & 0.960369 & 0.480185 \tabularnewline
269 & 0.616784 & 0.766432 & 0.383216 \tabularnewline
270 & 0.530147 & 0.939706 & 0.469853 \tabularnewline
271 & 0.703915 & 0.592169 & 0.296085 \tabularnewline
272 & 0.581697 & 0.836606 & 0.418303 \tabularnewline
273 & 1 & 9.84728e-47 & 4.92364e-47 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=264730&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]5[/C][C]0.686765[/C][C]0.62647[/C][C]0.313235[/C][/ROW]
[ROW][C]6[/C][C]0.634598[/C][C]0.730805[/C][C]0.365402[/C][/ROW]
[ROW][C]7[/C][C]0.624211[/C][C]0.751579[/C][C]0.375789[/C][/ROW]
[ROW][C]8[/C][C]0.588716[/C][C]0.822567[/C][C]0.411284[/C][/ROW]
[ROW][C]9[/C][C]0.583851[/C][C]0.832297[/C][C]0.416149[/C][/ROW]
[ROW][C]10[/C][C]0.557593[/C][C]0.884813[/C][C]0.442407[/C][/ROW]
[ROW][C]11[/C][C]0.71348[/C][C]0.573039[/C][C]0.28652[/C][/ROW]
[ROW][C]12[/C][C]0.727284[/C][C]0.545431[/C][C]0.272716[/C][/ROW]
[ROW][C]13[/C][C]0.728136[/C][C]0.543728[/C][C]0.271864[/C][/ROW]
[ROW][C]14[/C][C]0.70047[/C][C]0.599059[/C][C]0.29953[/C][/ROW]
[ROW][C]15[/C][C]0.627178[/C][C]0.745645[/C][C]0.372822[/C][/ROW]
[ROW][C]16[/C][C]0.55029[/C][C]0.899419[/C][C]0.44971[/C][/ROW]
[ROW][C]17[/C][C]0.474012[/C][C]0.948024[/C][C]0.525988[/C][/ROW]
[ROW][C]18[/C][C]0.400258[/C][C]0.800517[/C][C]0.599742[/C][/ROW]
[ROW][C]19[/C][C]0.361521[/C][C]0.723042[/C][C]0.638479[/C][/ROW]
[ROW][C]20[/C][C]0.371524[/C][C]0.743048[/C][C]0.628476[/C][/ROW]
[ROW][C]21[/C][C]0.356226[/C][C]0.712451[/C][C]0.643774[/C][/ROW]
[ROW][C]22[/C][C]0.295055[/C][C]0.59011[/C][C]0.704945[/C][/ROW]
[ROW][C]23[/C][C]0.240078[/C][C]0.480156[/C][C]0.759922[/C][/ROW]
[ROW][C]24[/C][C]0.191917[/C][C]0.383834[/C][C]0.808083[/C][/ROW]
[ROW][C]25[/C][C]0.181998[/C][C]0.363996[/C][C]0.818002[/C][/ROW]
[ROW][C]26[/C][C]0.19419[/C][C]0.38838[/C][C]0.80581[/C][/ROW]
[ROW][C]27[/C][C]0.160322[/C][C]0.320644[/C][C]0.839678[/C][/ROW]
[ROW][C]28[/C][C]0.136445[/C][C]0.272889[/C][C]0.863555[/C][/ROW]
[ROW][C]29[/C][C]0.235288[/C][C]0.470577[/C][C]0.764712[/C][/ROW]
[ROW][C]30[/C][C]0.219154[/C][C]0.438308[/C][C]0.780846[/C][/ROW]
[ROW][C]31[/C][C]0.180071[/C][C]0.360142[/C][C]0.819929[/C][/ROW]
[ROW][C]32[/C][C]0.195028[/C][C]0.390057[/C][C]0.804972[/C][/ROW]
[ROW][C]33[/C][C]0.182422[/C][C]0.364844[/C][C]0.817578[/C][/ROW]
[ROW][C]34[/C][C]0.169048[/C][C]0.338095[/C][C]0.830952[/C][/ROW]
[ROW][C]35[/C][C]0.247472[/C][C]0.494945[/C][C]0.752528[/C][/ROW]
[ROW][C]36[/C][C]0.327007[/C][C]0.654013[/C][C]0.672993[/C][/ROW]
[ROW][C]37[/C][C]0.284866[/C][C]0.569733[/C][C]0.715134[/C][/ROW]
[ROW][C]38[/C][C]0.318052[/C][C]0.636105[/C][C]0.681948[/C][/ROW]
[ROW][C]39[/C][C]0.292528[/C][C]0.585056[/C][C]0.707472[/C][/ROW]
[ROW][C]40[/C][C]0.267444[/C][C]0.534888[/C][C]0.732556[/C][/ROW]
[ROW][C]41[/C][C]0.24304[/C][C]0.48608[/C][C]0.75696[/C][/ROW]
[ROW][C]42[/C][C]0.219526[/C][C]0.439052[/C][C]0.780474[/C][/ROW]
[ROW][C]43[/C][C]0.188874[/C][C]0.377748[/C][C]0.811126[/C][/ROW]
[ROW][C]44[/C][C]0.242786[/C][C]0.485573[/C][C]0.757214[/C][/ROW]
[ROW][C]45[/C][C]0.223091[/C][C]0.446181[/C][C]0.776909[/C][/ROW]
[ROW][C]46[/C][C]0.200111[/C][C]0.400222[/C][C]0.799889[/C][/ROW]
[ROW][C]47[/C][C]0.229574[/C][C]0.459149[/C][C]0.770426[/C][/ROW]
[ROW][C]48[/C][C]0.24916[/C][C]0.498321[/C][C]0.75084[/C][/ROW]
[ROW][C]49[/C][C]0.27756[/C][C]0.555121[/C][C]0.72244[/C][/ROW]
[ROW][C]50[/C][C]0.345402[/C][C]0.690805[/C][C]0.654598[/C][/ROW]
[ROW][C]51[/C][C]0.31666[/C][C]0.63332[/C][C]0.68334[/C][/ROW]
[ROW][C]52[/C][C]0.348548[/C][C]0.697096[/C][C]0.651452[/C][/ROW]
[ROW][C]53[/C][C]0.323107[/C][C]0.646214[/C][C]0.676893[/C][/ROW]
[ROW][C]54[/C][C]0.344434[/C][C]0.688869[/C][C]0.655566[/C][/ROW]
[ROW][C]55[/C][C]0.37188[/C][C]0.743759[/C][C]0.62812[/C][/ROW]
[ROW][C]56[/C][C]0.346969[/C][C]0.693938[/C][C]0.653031[/C][/ROW]
[ROW][C]57[/C][C]0.413258[/C][C]0.826516[/C][C]0.586742[/C][/ROW]
[ROW][C]58[/C][C]0.439022[/C][C]0.878044[/C][C]0.560978[/C][/ROW]
[ROW][C]59[/C][C]0.402338[/C][C]0.804676[/C][C]0.597662[/C][/ROW]
[ROW][C]60[/C][C]0.376497[/C][C]0.752995[/C][C]0.623503[/C][/ROW]
[ROW][C]61[/C][C]0.352742[/C][C]0.705484[/C][C]0.647258[/C][/ROW]
[ROW][C]62[/C][C]0.376493[/C][C]0.752986[/C][C]0.623507[/C][/ROW]
[ROW][C]63[/C][C]0.437035[/C][C]0.87407[/C][C]0.562965[/C][/ROW]
[ROW][C]64[/C][C]0.411976[/C][C]0.823953[/C][C]0.588024[/C][/ROW]
[ROW][C]65[/C][C]0.436875[/C][C]0.87375[/C][C]0.563125[/C][/ROW]
[ROW][C]66[/C][C]0.484999[/C][C]0.969999[/C][C]0.515001[/C][/ROW]
[ROW][C]67[/C][C]0.460334[/C][C]0.920668[/C][C]0.539666[/C][/ROW]
[ROW][C]68[/C][C]0.435611[/C][C]0.871222[/C][C]0.564389[/C][/ROW]
[ROW][C]69[/C][C]0.491188[/C][C]0.982377[/C][C]0.508812[/C][/ROW]
[ROW][C]70[/C][C]0.52452[/C][C]0.950961[/C][C]0.47548[/C][/ROW]
[ROW][C]71[/C][C]0.489735[/C][C]0.97947[/C][C]0.510265[/C][/ROW]
[ROW][C]72[/C][C]0.464471[/C][C]0.928942[/C][C]0.535529[/C][/ROW]
[ROW][C]73[/C][C]0.431284[/C][C]0.862568[/C][C]0.568716[/C][/ROW]
[ROW][C]74[/C][C]0.405222[/C][C]0.810444[/C][C]0.594778[/C][/ROW]
[ROW][C]75[/C][C]0.430525[/C][C]0.861049[/C][C]0.569475[/C][/ROW]
[ROW][C]76[/C][C]0.454408[/C][C]0.908816[/C][C]0.545592[/C][/ROW]
[ROW][C]77[/C][C]0.427324[/C][C]0.854648[/C][C]0.572676[/C][/ROW]
[ROW][C]78[/C][C]0.393747[/C][C]0.787494[/C][C]0.606253[/C][/ROW]
[ROW][C]79[/C][C]0.4238[/C][C]0.8476[/C][C]0.5762[/C][/ROW]
[ROW][C]80[/C][C]0.445862[/C][C]0.891724[/C][C]0.554138[/C][/ROW]
[ROW][C]81[/C][C]0.413836[/C][C]0.827672[/C][C]0.586164[/C][/ROW]
[ROW][C]82[/C][C]0.439147[/C][C]0.878294[/C][C]0.560853[/C][/ROW]
[ROW][C]83[/C][C]0.416169[/C][C]0.832338[/C][C]0.583831[/C][/ROW]
[ROW][C]84[/C][C]0.384533[/C][C]0.769065[/C][C]0.615467[/C][/ROW]
[ROW][C]85[/C][C]0.361974[/C][C]0.723949[/C][C]0.638026[/C][/ROW]
[ROW][C]86[/C][C]0.332161[/C][C]0.664322[/C][C]0.667839[/C][/ROW]
[ROW][C]87[/C][C]0.303354[/C][C]0.606708[/C][C]0.696646[/C][/ROW]
[ROW][C]88[/C][C]0.348852[/C][C]0.697704[/C][C]0.651148[/C][/ROW]
[ROW][C]89[/C][C]0.325588[/C][C]0.651175[/C][C]0.674412[/C][/ROW]
[ROW][C]90[/C][C]0.35247[/C][C]0.704939[/C][C]0.64753[/C][/ROW]
[ROW][C]91[/C][C]0.329782[/C][C]0.659564[/C][C]0.670218[/C][/ROW]
[ROW][C]92[/C][C]0.302197[/C][C]0.604393[/C][C]0.697803[/C][/ROW]
[ROW][C]93[/C][C]0.327004[/C][C]0.654009[/C][C]0.672996[/C][/ROW]
[ROW][C]94[/C][C]0.299272[/C][C]0.598545[/C][C]0.700728[/C][/ROW]
[ROW][C]95[/C][C]0.322215[/C][C]0.64443[/C][C]0.677785[/C][/ROW]
[ROW][C]96[/C][C]0.344576[/C][C]0.689153[/C][C]0.655424[/C][/ROW]
[ROW][C]97[/C][C]0.316158[/C][C]0.632316[/C][C]0.683842[/C][/ROW]
[ROW][C]98[/C][C]0.297601[/C][C]0.595202[/C][C]0.702399[/C][/ROW]
[ROW][C]99[/C][C]0.279038[/C][C]0.558077[/C][C]0.720962[/C][/ROW]
[ROW][C]100[/C][C]0.260603[/C][C]0.521207[/C][C]0.739397[/C][/ROW]
[ROW][C]101[/C][C]0.24242[/C][C]0.48484[/C][C]0.75758[/C][/ROW]
[ROW][C]102[/C][C]0.281402[/C][C]0.562803[/C][C]0.718598[/C][/ROW]
[ROW][C]103[/C][C]0.305995[/C][C]0.611991[/C][C]0.694005[/C][/ROW]
[ROW][C]104[/C][C]0.330629[/C][C]0.661258[/C][C]0.669371[/C][/ROW]
[ROW][C]105[/C][C]0.355343[/C][C]0.710686[/C][C]0.644657[/C][/ROW]
[ROW][C]106[/C][C]0.380194[/C][C]0.760388[/C][C]0.619806[/C][/ROW]
[ROW][C]107[/C][C]0.405251[/C][C]0.810502[/C][C]0.594749[/C][/ROW]
[ROW][C]108[/C][C]0.455001[/C][C]0.910002[/C][C]0.544999[/C][/ROW]
[ROW][C]109[/C][C]0.433132[/C][C]0.866265[/C][C]0.566868[/C][/ROW]
[ROW][C]110[/C][C]0.460346[/C][C]0.920693[/C][C]0.539654[/C][/ROW]
[ROW][C]111[/C][C]0.438573[/C][C]0.877146[/C][C]0.561427[/C][/ROW]
[ROW][C]112[/C][C]0.416589[/C][C]0.833178[/C][C]0.583411[/C][/ROW]
[ROW][C]113[/C][C]0.436985[/C][C]0.87397[/C][C]0.563015[/C][/ROW]
[ROW][C]114[/C][C]0.41679[/C][C]0.833579[/C][C]0.58321[/C][/ROW]
[ROW][C]115[/C][C]0.386378[/C][C]0.772757[/C][C]0.613622[/C][/ROW]
[ROW][C]116[/C][C]0.437731[/C][C]0.875461[/C][C]0.562269[/C][/ROW]
[ROW][C]117[/C][C]0.481889[/C][C]0.963777[/C][C]0.518111[/C][/ROW]
[ROW][C]118[/C][C]0.511444[/C][C]0.977112[/C][C]0.488556[/C][/ROW]
[ROW][C]119[/C][C]0.56242[/C][C]0.87516[/C][C]0.43758[/C][/ROW]
[ROW][C]120[/C][C]0.541524[/C][C]0.916951[/C][C]0.458476[/C][/ROW]
[ROW][C]121[/C][C]0.520496[/C][C]0.959008[/C][C]0.479504[/C][/ROW]
[ROW][C]122[/C][C]0.541838[/C][C]0.916324[/C][C]0.458162[/C][/ROW]
[ROW][C]123[/C][C]0.520943[/C][C]0.958113[/C][C]0.479057[/C][/ROW]
[ROW][C]124[/C][C]0.57126[/C][C]0.857481[/C][C]0.42874[/C][/ROW]
[ROW][C]125[/C][C]0.550567[/C][C]0.898865[/C][C]0.449433[/C][/ROW]
[ROW][C]126[/C][C]0.571691[/C][C]0.856618[/C][C]0.428309[/C][/ROW]
[ROW][C]127[/C][C]0.592325[/C][C]0.815349[/C][C]0.407675[/C][/ROW]
[ROW][C]128[/C][C]0.612549[/C][C]0.774901[/C][C]0.387451[/C][/ROW]
[ROW][C]129[/C][C]0.586359[/C][C]0.827283[/C][C]0.413641[/C][/ROW]
[ROW][C]130[/C][C]0.566[/C][C]0.868001[/C][C]0.434[/C][/ROW]
[ROW][C]131[/C][C]0.615641[/C][C]0.768717[/C][C]0.384359[/C][/ROW]
[ROW][C]132[/C][C]0.63548[/C][C]0.729039[/C][C]0.36452[/C][/ROW]
[ROW][C]133[/C][C]0.615871[/C][C]0.768258[/C][C]0.384129[/C][/ROW]
[ROW][C]134[/C][C]0.59603[/C][C]0.80794[/C][C]0.40397[/C][/ROW]
[ROW][C]135[/C][C]0.565958[/C][C]0.868085[/C][C]0.434042[/C][/ROW]
[ROW][C]136[/C][C]0.54567[/C][C]0.90866[/C][C]0.45433[/C][/ROW]
[ROW][C]137[/C][C]0.525371[/C][C]0.949259[/C][C]0.474629[/C][/ROW]
[ROW][C]138[/C][C]0.505134[/C][C]0.989732[/C][C]0.494866[/C][/ROW]
[ROW][C]139[/C][C]0.485035[/C][C]0.970069[/C][C]0.514965[/C][/ROW]
[ROW][C]140[/C][C]0.465145[/C][C]0.930291[/C][C]0.534855[/C][/ROW]
[ROW][C]141[/C][C]0.441411[/C][C]0.882822[/C][C]0.558589[/C][/ROW]
[ROW][C]142[/C][C]0.411138[/C][C]0.822276[/C][C]0.588862[/C][/ROW]
[ROW][C]143[/C][C]0.430686[/C][C]0.861373[/C][C]0.569314[/C][/ROW]
[ROW][C]144[/C][C]0.411091[/C][C]0.822181[/C][C]0.588909[/C][/ROW]
[ROW][C]145[/C][C]0.430557[/C][C]0.861115[/C][C]0.569443[/C][/ROW]
[ROW][C]146[/C][C]0.410904[/C][C]0.821808[/C][C]0.589096[/C][/ROW]
[ROW][C]147[/C][C]0.430369[/C][C]0.860739[/C][C]0.569631[/C][/ROW]
[ROW][C]148[/C][C]0.450405[/C][C]0.90081[/C][C]0.549595[/C][/ROW]
[ROW][C]149[/C][C]0.471118[/C][C]0.942237[/C][C]0.528882[/C][/ROW]
[ROW][C]150[/C][C]0.522296[/C][C]0.955407[/C][C]0.477704[/C][/ROW]
[ROW][C]151[/C][C]0.542943[/C][C]0.914114[/C][C]0.457057[/C][/ROW]
[ROW][C]152[/C][C]0.522292[/C][C]0.955416[/C][C]0.477708[/C][/ROW]
[ROW][C]153[/C][C]0.574167[/C][C]0.851667[/C][C]0.425833[/C][/ROW]
[ROW][C]154[/C][C]0.593872[/C][C]0.812255[/C][C]0.406128[/C][/ROW]
[ROW][C]155[/C][C]0.569249[/C][C]0.861502[/C][C]0.430751[/C][/ROW]
[ROW][C]156[/C][C]0.604135[/C][C]0.791729[/C][C]0.395865[/C][/ROW]
[ROW][C]157[/C][C]0.654781[/C][C]0.690437[/C][C]0.345219[/C][/ROW]
[ROW][C]158[/C][C]0.636521[/C][C]0.726958[/C][C]0.363479[/C][/ROW]
[ROW][C]159[/C][C]0.612283[/C][C]0.775434[/C][C]0.387717[/C][/ROW]
[ROW][C]160[/C][C]0.58737[/C][C]0.825259[/C][C]0.41263[/C][/ROW]
[ROW][C]161[/C][C]0.622323[/C][C]0.755354[/C][C]0.377677[/C][/ROW]
[ROW][C]162[/C][C]0.655792[/C][C]0.688416[/C][C]0.344208[/C][/ROW]
[ROW][C]163[/C][C]0.706465[/C][C]0.58707[/C][C]0.293535[/C][/ROW]
[ROW][C]164[/C][C]0.690538[/C][C]0.618923[/C][C]0.309462[/C][/ROW]
[ROW][C]165[/C][C]0.721206[/C][C]0.557588[/C][C]0.278794[/C][/ROW]
[ROW][C]166[/C][C]0.698762[/C][C]0.602475[/C][C]0.301238[/C][/ROW]
[ROW][C]167[/C][C]0.674647[/C][C]0.650706[/C][C]0.325353[/C][/ROW]
[ROW][C]168[/C][C]0.705629[/C][C]0.588743[/C][C]0.294371[/C][/ROW]
[ROW][C]169[/C][C]0.681519[/C][C]0.636962[/C][C]0.318481[/C][/ROW]
[ROW][C]170[/C][C]0.656543[/C][C]0.686915[/C][C]0.343457[/C][/ROW]
[ROW][C]171[/C][C]0.630798[/C][C]0.738404[/C][C]0.369202[/C][/ROW]
[ROW][C]172[/C][C]0.605263[/C][C]0.789474[/C][C]0.394737[/C][/ROW]
[ROW][C]173[/C][C]0.638457[/C][C]0.723087[/C][C]0.361543[/C][/ROW]
[ROW][C]174[/C][C]0.621544[/C][C]0.756912[/C][C]0.378456[/C][/ROW]
[ROW][C]175[/C][C]0.604988[/C][C]0.790024[/C][C]0.395012[/C][/ROW]
[ROW][C]176[/C][C]0.578696[/C][C]0.842608[/C][C]0.421304[/C][/ROW]
[ROW][C]177[/C][C]0.545865[/C][C]0.90827[/C][C]0.454135[/C][/ROW]
[ROW][C]178[/C][C]0.560593[/C][C]0.878814[/C][C]0.439407[/C][/ROW]
[ROW][C]179[/C][C]0.533747[/C][C]0.932505[/C][C]0.466253[/C][/ROW]
[ROW][C]180[/C][C]0.500431[/C][C]0.999138[/C][C]0.499569[/C][/ROW]
[ROW][C]181[/C][C]0.472088[/C][C]0.944176[/C][C]0.527912[/C][/ROW]
[ROW][C]182[/C][C]0.510658[/C][C]0.978684[/C][C]0.489342[/C][/ROW]
[ROW][C]183[/C][C]0.573876[/C][C]0.852248[/C][C]0.426124[/C][/ROW]
[ROW][C]184[/C][C]0.547489[/C][C]0.905021[/C][C]0.452511[/C][/ROW]
[ROW][C]185[/C][C]0.521044[/C][C]0.957912[/C][C]0.478956[/C][/ROW]
[ROW][C]186[/C][C]0.55452[/C][C]0.890959[/C][C]0.44548[/C][/ROW]
[ROW][C]187[/C][C]0.588558[/C][C]0.822885[/C][C]0.411442[/C][/ROW]
[ROW][C]188[/C][C]0.623091[/C][C]0.753819[/C][C]0.376909[/C][/ROW]
[ROW][C]189[/C][C]0.658014[/C][C]0.683972[/C][C]0.341986[/C][/ROW]
[ROW][C]190[/C][C]0.69338[/C][C]0.61324[/C][C]0.30662[/C][/ROW]
[ROW][C]191[/C][C]0.667288[/C][C]0.665424[/C][C]0.332712[/C][/ROW]
[ROW][C]192[/C][C]0.641136[/C][C]0.717727[/C][C]0.358864[/C][/ROW]
[ROW][C]193[/C][C]0.613291[/C][C]0.773418[/C][C]0.386709[/C][/ROW]
[ROW][C]194[/C][C]0.585737[/C][C]0.828525[/C][C]0.414263[/C][/ROW]
[ROW][C]195[/C][C]0.557887[/C][C]0.884225[/C][C]0.442113[/C][/ROW]
[ROW][C]196[/C][C]0.593988[/C][C]0.812024[/C][C]0.406012[/C][/ROW]
[ROW][C]197[/C][C]0.558894[/C][C]0.882211[/C][C]0.441106[/C][/ROW]
[ROW][C]198[/C][C]0.598726[/C][C]0.802549[/C][C]0.401274[/C][/ROW]
[ROW][C]199[/C][C]0.571013[/C][C]0.857974[/C][C]0.428987[/C][/ROW]
[ROW][C]200[/C][C]0.54314[/C][C]0.913721[/C][C]0.45686[/C][/ROW]
[ROW][C]201[/C][C]0.52682[/C][C]0.94636[/C][C]0.47318[/C][/ROW]
[ROW][C]202[/C][C]0.498794[/C][C]0.997588[/C][C]0.501206[/C][/ROW]
[ROW][C]203[/C][C]0.511075[/C][C]0.97785[/C][C]0.488925[/C][/ROW]
[ROW][C]204[/C][C]0.479409[/C][C]0.958817[/C][C]0.520591[/C][/ROW]
[ROW][C]205[/C][C]0.462437[/C][C]0.924874[/C][C]0.537563[/C][/ROW]
[ROW][C]206[/C][C]0.497769[/C][C]0.995539[/C][C]0.502231[/C][/ROW]
[ROW][C]207[/C][C]0.510243[/C][C]0.979514[/C][C]0.489757[/C][/ROW]
[ROW][C]208[/C][C]0.478694[/C][C]0.957388[/C][C]0.521306[/C][/ROW]
[ROW][C]209[/C][C]0.522158[/C][C]0.955684[/C][C]0.477842[/C][/ROW]
[ROW][C]210[/C][C]0.493154[/C][C]0.986307[/C][C]0.506846[/C][/ROW]
[ROW][C]211[/C][C]0.460295[/C][C]0.920589[/C][C]0.539705[/C][/ROW]
[ROW][C]212[/C][C]0.422502[/C][C]0.845004[/C][C]0.577498[/C][/ROW]
[ROW][C]213[/C][C]0.436853[/C][C]0.873707[/C][C]0.563147[/C][/ROW]
[ROW][C]214[/C][C]0.484353[/C][C]0.968706[/C][C]0.515647[/C][/ROW]
[ROW][C]215[/C][C]0.464351[/C][C]0.928703[/C][C]0.535649[/C][/ROW]
[ROW][C]216[/C][C]0.480234[/C][C]0.960468[/C][C]0.519766[/C][/ROW]
[ROW][C]217[/C][C]0.451811[/C][C]0.903622[/C][C]0.548189[/C][/ROW]
[ROW][C]218[/C][C]0.430922[/C][C]0.861845[/C][C]0.569078[/C][/ROW]
[ROW][C]219[/C][C]0.396201[/C][C]0.792402[/C][C]0.603799[/C][/ROW]
[ROW][C]220[/C][C]0.428445[/C][C]0.856889[/C][C]0.571555[/C][/ROW]
[ROW][C]221[/C][C]0.445162[/C][C]0.890325[/C][C]0.554838[/C][/ROW]
[ROW][C]222[/C][C]0.496981[/C][C]0.993961[/C][C]0.503019[/C][/ROW]
[ROW][C]223[/C][C]0.474504[/C][C]0.949008[/C][C]0.525496[/C][/ROW]
[ROW][C]224[/C][C]0.493735[/C][C]0.98747[/C][C]0.506265[/C][/ROW]
[ROW][C]225[/C][C]0.568073[/C][C]0.863855[/C][C]0.431927[/C][/ROW]
[ROW][C]226[/C][C]0.530613[/C][C]0.938773[/C][C]0.469387[/C][/ROW]
[ROW][C]227[/C][C]0.488304[/C][C]0.976609[/C][C]0.511696[/C][/ROW]
[ROW][C]228[/C][C]0.524357[/C][C]0.951285[/C][C]0.475643[/C][/ROW]
[ROW][C]229[/C][C]0.503864[/C][C]0.992273[/C][C]0.496136[/C][/ROW]
[ROW][C]230[/C][C]0.485729[/C][C]0.971457[/C][C]0.514271[/C][/ROW]
[ROW][C]231[/C][C]0.4975[/C][C]0.995001[/C][C]0.5025[/C][/ROW]
[ROW][C]232[/C][C]0.45325[/C][C]0.9065[/C][C]0.54675[/C][/ROW]
[ROW][C]233[/C][C]0.415108[/C][C]0.830217[/C][C]0.584892[/C][/ROW]
[ROW][C]234[/C][C]0.394909[/C][C]0.789818[/C][C]0.605091[/C][/ROW]
[ROW][C]235[/C][C]0.407912[/C][C]0.815823[/C][C]0.592088[/C][/ROW]
[ROW][C]236[/C][C]0.49837[/C][C]0.99674[/C][C]0.50163[/C][/ROW]
[ROW][C]237[/C][C]0.463221[/C][C]0.926443[/C][C]0.536779[/C][/ROW]
[ROW][C]238[/C][C]0.473027[/C][C]0.946054[/C][C]0.526973[/C][/ROW]
[ROW][C]239[/C][C]0.492561[/C][C]0.985122[/C][C]0.507439[/C][/ROW]
[ROW][C]240[/C][C]0.556911[/C][C]0.886177[/C][C]0.443089[/C][/ROW]
[ROW][C]241[/C][C]0.530135[/C][C]0.939729[/C][C]0.469865[/C][/ROW]
[ROW][C]242[/C][C]0.60496[/C][C]0.790079[/C][C]0.39504[/C][/ROW]
[ROW][C]243[/C][C]0.558646[/C][C]0.882709[/C][C]0.441354[/C][/ROW]
[ROW][C]244[/C][C]0.594227[/C][C]0.811545[/C][C]0.405773[/C][/ROW]
[ROW][C]245[/C][C]0.548095[/C][C]0.903809[/C][C]0.451905[/C][/ROW]
[ROW][C]246[/C][C]0.512276[/C][C]0.975448[/C][C]0.487724[/C][/ROW]
[ROW][C]247[/C][C]0.459824[/C][C]0.919648[/C][C]0.540176[/C][/ROW]
[ROW][C]248[/C][C]0.408132[/C][C]0.816264[/C][C]0.591868[/C][/ROW]
[ROW][C]249[/C][C]0.445408[/C][C]0.890816[/C][C]0.554592[/C][/ROW]
[ROW][C]250[/C][C]0.402381[/C][C]0.804762[/C][C]0.597619[/C][/ROW]
[ROW][C]251[/C][C]0.501502[/C][C]0.996996[/C][C]0.498498[/C][/ROW]
[ROW][C]252[/C][C]0.44344[/C][C]0.88688[/C][C]0.55656[/C][/ROW]
[ROW][C]253[/C][C]0.486867[/C][C]0.973734[/C][C]0.513133[/C][/ROW]
[ROW][C]254[/C][C]0.443795[/C][C]0.88759[/C][C]0.556205[/C][/ROW]
[ROW][C]255[/C][C]0.383515[/C][C]0.76703[/C][C]0.616485[/C][/ROW]
[ROW][C]256[/C][C]0.430799[/C][C]0.861599[/C][C]0.569201[/C][/ROW]
[ROW][C]257[/C][C]0.493985[/C][C]0.98797[/C][C]0.506015[/C][/ROW]
[ROW][C]258[/C][C]0.541525[/C][C]0.91695[/C][C]0.458475[/C][/ROW]
[ROW][C]259[/C][C]0.485495[/C][C]0.970989[/C][C]0.514505[/C][/ROW]
[ROW][C]260[/C][C]0.56947[/C][C]0.86106[/C][C]0.43053[/C][/ROW]
[ROW][C]261[/C][C]0.518767[/C][C]0.962467[/C][C]0.481233[/C][/ROW]
[ROW][C]262[/C][C]0.585865[/C][C]0.82827[/C][C]0.414135[/C][/ROW]
[ROW][C]263[/C][C]0.694423[/C][C]0.611154[/C][C]0.305577[/C][/ROW]
[ROW][C]264[/C][C]0.626175[/C][C]0.74765[/C][C]0.373825[/C][/ROW]
[ROW][C]265[/C][C]0.552748[/C][C]0.894505[/C][C]0.447252[/C][/ROW]
[ROW][C]266[/C][C]0.4766[/C][C]0.953199[/C][C]0.5234[/C][/ROW]
[ROW][C]267[/C][C]0.400672[/C][C]0.801344[/C][C]0.599328[/C][/ROW]
[ROW][C]268[/C][C]0.519815[/C][C]0.960369[/C][C]0.480185[/C][/ROW]
[ROW][C]269[/C][C]0.616784[/C][C]0.766432[/C][C]0.383216[/C][/ROW]
[ROW][C]270[/C][C]0.530147[/C][C]0.939706[/C][C]0.469853[/C][/ROW]
[ROW][C]271[/C][C]0.703915[/C][C]0.592169[/C][C]0.296085[/C][/ROW]
[ROW][C]272[/C][C]0.581697[/C][C]0.836606[/C][C]0.418303[/C][/ROW]
[ROW][C]273[/C][C]1[/C][C]9.84728e-47[/C][C]4.92364e-47[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=264730&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=264730&T=5

As an alternative you can also use a QR Code:  

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

Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
50.6867650.626470.313235
60.6345980.7308050.365402
70.6242110.7515790.375789
80.5887160.8225670.411284
90.5838510.8322970.416149
100.5575930.8848130.442407
110.713480.5730390.28652
120.7272840.5454310.272716
130.7281360.5437280.271864
140.700470.5990590.29953
150.6271780.7456450.372822
160.550290.8994190.44971
170.4740120.9480240.525988
180.4002580.8005170.599742
190.3615210.7230420.638479
200.3715240.7430480.628476
210.3562260.7124510.643774
220.2950550.590110.704945
230.2400780.4801560.759922
240.1919170.3838340.808083
250.1819980.3639960.818002
260.194190.388380.80581
270.1603220.3206440.839678
280.1364450.2728890.863555
290.2352880.4705770.764712
300.2191540.4383080.780846
310.1800710.3601420.819929
320.1950280.3900570.804972
330.1824220.3648440.817578
340.1690480.3380950.830952
350.2474720.4949450.752528
360.3270070.6540130.672993
370.2848660.5697330.715134
380.3180520.6361050.681948
390.2925280.5850560.707472
400.2674440.5348880.732556
410.243040.486080.75696
420.2195260.4390520.780474
430.1888740.3777480.811126
440.2427860.4855730.757214
450.2230910.4461810.776909
460.2001110.4002220.799889
470.2295740.4591490.770426
480.249160.4983210.75084
490.277560.5551210.72244
500.3454020.6908050.654598
510.316660.633320.68334
520.3485480.6970960.651452
530.3231070.6462140.676893
540.3444340.6888690.655566
550.371880.7437590.62812
560.3469690.6939380.653031
570.4132580.8265160.586742
580.4390220.8780440.560978
590.4023380.8046760.597662
600.3764970.7529950.623503
610.3527420.7054840.647258
620.3764930.7529860.623507
630.4370350.874070.562965
640.4119760.8239530.588024
650.4368750.873750.563125
660.4849990.9699990.515001
670.4603340.9206680.539666
680.4356110.8712220.564389
690.4911880.9823770.508812
700.524520.9509610.47548
710.4897350.979470.510265
720.4644710.9289420.535529
730.4312840.8625680.568716
740.4052220.8104440.594778
750.4305250.8610490.569475
760.4544080.9088160.545592
770.4273240.8546480.572676
780.3937470.7874940.606253
790.42380.84760.5762
800.4458620.8917240.554138
810.4138360.8276720.586164
820.4391470.8782940.560853
830.4161690.8323380.583831
840.3845330.7690650.615467
850.3619740.7239490.638026
860.3321610.6643220.667839
870.3033540.6067080.696646
880.3488520.6977040.651148
890.3255880.6511750.674412
900.352470.7049390.64753
910.3297820.6595640.670218
920.3021970.6043930.697803
930.3270040.6540090.672996
940.2992720.5985450.700728
950.3222150.644430.677785
960.3445760.6891530.655424
970.3161580.6323160.683842
980.2976010.5952020.702399
990.2790380.5580770.720962
1000.2606030.5212070.739397
1010.242420.484840.75758
1020.2814020.5628030.718598
1030.3059950.6119910.694005
1040.3306290.6612580.669371
1050.3553430.7106860.644657
1060.3801940.7603880.619806
1070.4052510.8105020.594749
1080.4550010.9100020.544999
1090.4331320.8662650.566868
1100.4603460.9206930.539654
1110.4385730.8771460.561427
1120.4165890.8331780.583411
1130.4369850.873970.563015
1140.416790.8335790.58321
1150.3863780.7727570.613622
1160.4377310.8754610.562269
1170.4818890.9637770.518111
1180.5114440.9771120.488556
1190.562420.875160.43758
1200.5415240.9169510.458476
1210.5204960.9590080.479504
1220.5418380.9163240.458162
1230.5209430.9581130.479057
1240.571260.8574810.42874
1250.5505670.8988650.449433
1260.5716910.8566180.428309
1270.5923250.8153490.407675
1280.6125490.7749010.387451
1290.5863590.8272830.413641
1300.5660.8680010.434
1310.6156410.7687170.384359
1320.635480.7290390.36452
1330.6158710.7682580.384129
1340.596030.807940.40397
1350.5659580.8680850.434042
1360.545670.908660.45433
1370.5253710.9492590.474629
1380.5051340.9897320.494866
1390.4850350.9700690.514965
1400.4651450.9302910.534855
1410.4414110.8828220.558589
1420.4111380.8222760.588862
1430.4306860.8613730.569314
1440.4110910.8221810.588909
1450.4305570.8611150.569443
1460.4109040.8218080.589096
1470.4303690.8607390.569631
1480.4504050.900810.549595
1490.4711180.9422370.528882
1500.5222960.9554070.477704
1510.5429430.9141140.457057
1520.5222920.9554160.477708
1530.5741670.8516670.425833
1540.5938720.8122550.406128
1550.5692490.8615020.430751
1560.6041350.7917290.395865
1570.6547810.6904370.345219
1580.6365210.7269580.363479
1590.6122830.7754340.387717
1600.587370.8252590.41263
1610.6223230.7553540.377677
1620.6557920.6884160.344208
1630.7064650.587070.293535
1640.6905380.6189230.309462
1650.7212060.5575880.278794
1660.6987620.6024750.301238
1670.6746470.6507060.325353
1680.7056290.5887430.294371
1690.6815190.6369620.318481
1700.6565430.6869150.343457
1710.6307980.7384040.369202
1720.6052630.7894740.394737
1730.6384570.7230870.361543
1740.6215440.7569120.378456
1750.6049880.7900240.395012
1760.5786960.8426080.421304
1770.5458650.908270.454135
1780.5605930.8788140.439407
1790.5337470.9325050.466253
1800.5004310.9991380.499569
1810.4720880.9441760.527912
1820.5106580.9786840.489342
1830.5738760.8522480.426124
1840.5474890.9050210.452511
1850.5210440.9579120.478956
1860.554520.8909590.44548
1870.5885580.8228850.411442
1880.6230910.7538190.376909
1890.6580140.6839720.341986
1900.693380.613240.30662
1910.6672880.6654240.332712
1920.6411360.7177270.358864
1930.6132910.7734180.386709
1940.5857370.8285250.414263
1950.5578870.8842250.442113
1960.5939880.8120240.406012
1970.5588940.8822110.441106
1980.5987260.8025490.401274
1990.5710130.8579740.428987
2000.543140.9137210.45686
2010.526820.946360.47318
2020.4987940.9975880.501206
2030.5110750.977850.488925
2040.4794090.9588170.520591
2050.4624370.9248740.537563
2060.4977690.9955390.502231
2070.5102430.9795140.489757
2080.4786940.9573880.521306
2090.5221580.9556840.477842
2100.4931540.9863070.506846
2110.4602950.9205890.539705
2120.4225020.8450040.577498
2130.4368530.8737070.563147
2140.4843530.9687060.515647
2150.4643510.9287030.535649
2160.4802340.9604680.519766
2170.4518110.9036220.548189
2180.4309220.8618450.569078
2190.3962010.7924020.603799
2200.4284450.8568890.571555
2210.4451620.8903250.554838
2220.4969810.9939610.503019
2230.4745040.9490080.525496
2240.4937350.987470.506265
2250.5680730.8638550.431927
2260.5306130.9387730.469387
2270.4883040.9766090.511696
2280.5243570.9512850.475643
2290.5038640.9922730.496136
2300.4857290.9714570.514271
2310.49750.9950010.5025
2320.453250.90650.54675
2330.4151080.8302170.584892
2340.3949090.7898180.605091
2350.4079120.8158230.592088
2360.498370.996740.50163
2370.4632210.9264430.536779
2380.4730270.9460540.526973
2390.4925610.9851220.507439
2400.5569110.8861770.443089
2410.5301350.9397290.469865
2420.604960.7900790.39504
2430.5586460.8827090.441354
2440.5942270.8115450.405773
2450.5480950.9038090.451905
2460.5122760.9754480.487724
2470.4598240.9196480.540176
2480.4081320.8162640.591868
2490.4454080.8908160.554592
2500.4023810.8047620.597619
2510.5015020.9969960.498498
2520.443440.886880.55656
2530.4868670.9737340.513133
2540.4437950.887590.556205
2550.3835150.767030.616485
2560.4307990.8615990.569201
2570.4939850.987970.506015
2580.5415250.916950.458475
2590.4854950.9709890.514505
2600.569470.861060.43053
2610.5187670.9624670.481233
2620.5858650.828270.414135
2630.6944230.6111540.305577
2640.6261750.747650.373825
2650.5527480.8945050.447252
2660.47660.9531990.5234
2670.4006720.8013440.599328
2680.5198150.9603690.480185
2690.6167840.7664320.383216
2700.5301470.9397060.469853
2710.7039150.5921690.296085
2720.5816970.8366060.418303
27319.84728e-474.92364e-47







Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level10.00371747OK
5% type I error level10.00371747OK
10% type I error level10.00371747OK

\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 & 1 & 0.00371747 & OK \tabularnewline
5% type I error level & 1 & 0.00371747 & OK \tabularnewline
10% type I error level & 1 & 0.00371747 & OK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=264730&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]1[/C][C]0.00371747[/C][C]OK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]1[/C][C]0.00371747[/C][C]OK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]1[/C][C]0.00371747[/C][C]OK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=264730&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=264730&T=6

As an alternative you can also use a QR Code:  

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

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level10.00371747OK
5% type I error level10.00371747OK
10% type I error level10.00371747OK



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