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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationThu, 11 Dec 2014 09:37:05 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Dec/11/t1418290918c61mkr4j8s0rhrq.htm/, Retrieved Thu, 16 May 2024 17:12:09 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=265652, Retrieved Thu, 16 May 2024 17:12:09 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact125

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Multiple Regression] [] [2014-12-11 09:37:05] [6398a3f6f1f2f5e55f0ec79c736f94f8] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1.00 0.50 0.67 0.67 0.00 0
0.89 0.50 0.83 0.33 0.50 1
0.89 0.40 1.00 0.67 0.00 0
0.89 0.50 0.83 0.00 0.00 1
0.89 0.70 0.67 0.00 1.00 1
0.78 0.30 0.00 0.00 0.50 1
0.89 0.40 0.83 0.67 0.50 0
1.00 0.40 0.50 0.67 1.00 1
0.89 0.70 0.83 0.00 0.50 1
0.78 0.60 0.33 0.67 0.50 1
1.00 0.60 0.50 1.00 0.00 1
0.78 0.20 0.67 0.00 0.50 1
0.89 0.40 1.00 0.00 0.50 1
0.89 0.40 0.50 0.67 0.00 0
0.89 0.50 0.67 0.33 0.00 0
0.89 0.30 0.17 0.67 0.00 0
0.89 0.40 0.83 0.33 0.50 1
0.67 0.70 0.67 0.33 0.50 0
1.00 0.50 0.67 0.33 0.00 1
0.78 0.20 0.67 0.00 0.00 0
0.78 0.30 0.50 0.67 0.00 1
0.89 0.60 1.00 0.33 0.00 1
0.78 0.60 0.83 0.33 0.00 0
0.89 0.20 0.83 0.33 0.00 1
0.89 0.70 1.00 0.67 1.00 1
0.33 0.20 0.67 0.00 0.00 1
1.00 1.00 1.00 0.33 1.00 1
0.89 0.40 0.83 0.67 0.00 0
0.89 0.40 1.00 1.00 0.00 1
0.67 0.20 0.83 0.67 0.00 0
0.56 0.40 0.67 0.33 0.00 0
0.89 0.40 0.67 0.00 0.50 0
0.89 0.70 1.00 0.67 0.50 1
1.00 0.20 0.67 0.67 0.00 1
0.78 0.60 1.00 1.00 0.00 1
0.78 0.30 1.00 1.00 0.50 1
0.33 0.30 0.50 0.33 0.00 0
0.78 0.20 0.67 0.00 0.50 1
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0.89 0.70 1.00 0.67 0.50 0
0.78 0.60 1.00 0.67 0.50 1
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0.89 0.60 1.00 0.33 0.50 1
1.00 0.40 1.00 1.00 0.00 1
0.67 0.30 0.83 0.67 0.00 1
1.00 0.50 0.83 0.67 0.50 0
0.89 0.20 0.50 0.00 0.00 1
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0.89 0.50 0.17 0.00 0.00 0
0.78 0.70 0.83 1.00 0.50 1
0.89 0.40 1.00 0.67 1.00 1
0.78 0.30 1.00 0.00 0.00 1
0.78 0.20 0.67 0.67 1.00 1
1.00 0.50 1.00 0.00 0.00 1
0.78 0.40 1.00 0.00 0.50 1
1.00 0.60 1.00 0.67 1.00 1
0.78 0.40 0.83 1.00 0.00 0
0.67 0.40 0.33 0.00 0.00 1
0.33 0.20 0.33 0.33 0.00 0
1.00 0.90 1.00 0.67 0.50 1
1.00 0.80 1.00 0.67 1.00 1
0.78 0.80 0.83 0.00 0.50 0
0.67 0.30 1.00 1.00 0.50 0
1.00 0.20 0.83 0.67 0.00 1
0.89 0.40 0.67 0.00 0.50 0
0.89 0.20 0.83 1.00 0.00 1
0.78 0.20 0.67 0.67 0.50 0
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0.56 0.40 0.67 1.00 0.50 1
0.67 0.50 1.00 0.00 0.50 0
0.89 0.80 0.83 0.33 0.50 0
0.89 0.40 0.67 0.67 0.00 0
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0.89 0.50 0.83 0.67 0.50 1
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1.00 0.40 0.33 0.00 0.50 0
1.00 0.60 0.83 0.67 0.50 1
0.89 0.40 1.00 0.33 0.00 0
0.44 0.30 0.83 0.00 0.00 0
0.78 0.80 0.83 0.00 1.00 1
0.89 0.60 0.50 0.33 1.00 0
0.67 0.30 0.50 0.00 0.00 0
0.78 0.50 0.83 0.67 0.50 0
0.78 0.40 1.00 0.33 0.00 1
0.33 0.30 0.33 0.67 0.00 0
0.89 0.70 1.00 0.33 0.00 1
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0.89 0.40 0.83 1.00 0.00 0
0.89 0.60 1.00 0.67 0.50 0
0.56 0.60 0.83 0.00 0.00 0
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0.67 0.40 1.00 0.33 0.50 1
0.78 0.60 0.83 0.00 0.00 1
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0.89 0.60 0.67 0.00 0.00 0
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0.89 0.50 0.83 0.67 1.00 1
0.89 0.60 0.83 0.67 0.50 1
0.78 0.40 0.83 0.67 0.50 1
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0.89 0.80 0.83 1.00 0.50 1
0.89 0.30 1.00 0.67 1.00 0
1.00 0.50 0.83 0.67 0.00 1
0.78 0.40 1.00 0.00 0.00 0
0.67 0.30 0.83 0.67 0.00 0
0.89 0.50 0.83 1.00 0.00 1
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0.67 0.30 0.67 0.00 0.00 1
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0.89 0.20 1.00 0.33 1.00 1
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0.78 0.40 1.00 0.67 1.00 1
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1.00 0.40 0.83 0.67 0.00 0
0.89 0.30 0.67 0.67 0.50 1
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0.89 0.60 0.83 1.00 0.00 1
0.89 0.40 0.83 0.00 0.00 0
1.00 0.50 1.00 0.67 1.00 1
0.89 0.40 0.83 0.00 0.50 1
1.00 0.60 1.00 1.00 1.00 1
0.78 0.60 0.83 0.67 0.50 0
0.78 0.90 1.00 0.67 0.50 0
0.67 0.40 0.83 0.67 0.50 0
0.89 0.80 1.00 1.00 0.50 0
0.67 0.50 0.83 1.00 0.00 1
0.78 0.40 0.83 1.00 0.00 0
0.89 0.40 1.00 0.67 1.00 1
0.89 0.70 1.00 1.00 1.00 0
0.78 0.40 1.00 0.33 1.00 1
1.00 0.80 1.00 0.67 0.50 0
1.00 0.40 1.00 1.00 1.00 1
1.00 0.30 1.00 0.67 0.00 0
0.67 0.50 1.00 0.67 0.50 0
0.89 0.80 1.00 0.67 1.00 1
1.00 0.40 0.83 0.33 0.00 0
1.00 1.00 1.00 1.00 0.50 1
0.89 0.50 1.00 0.67 1.00 1
0.89 0.50 1.00 0.67 1.00 1
0.89 0.30 1.00 0.33 0.00 1
0.89 0.30 0.83 0.33 0.50 1
0.89 0.30 0.50 0.00 0.00 0
1.00 0.40 0.67 0.33 0.50 1
0.67 0.50 1.00 0.33 0.00 0
1.00 0.50 0.67 0.67 0.50 0
0.89 0.40 1.00 0.00 0.00 0
0.89 0.70 1.00 1.00 0.50 1
0.89 0.50 0.50 0.33 0.00 0
0.89 0.40 0.67 0.33 1.00 1
1.00 0.70 0.67 1.00 0.00 0
1.00 0.70 0.67 1.00 0.00 0
1.00 0.70 0.67 1.00 0.00 0
0.89 0.70 0.67 1.00 0.00 0
0.89 0.70 0.67 0.00 0.00 1
0.89 0.70 1.00 0.67 0.50 1
0.33 0.10 0.67 0.33 0.50 1
0.67 0.20 0.67 0.67 0.50 1
0.56 0.30 0.33 0.33 0.00 0
0.44 0.60 0.83 0.33 0.00 0
1.00 0.80 1.00 1.00 1.00 1
0.89 0.80 1.00 0.33 0.50 0
0.33 0.00 0.17 0.00 0.00 0
0.67 0.30 0.67 0.33 0.00 0
0.67 0.60 0.83 0.33 0.50 0
1.00 0.50 0.83 0.67 0.00 1
0.78 0.70 1.00 0.33 0.00 1
0.67 0.30 0.83 0.00 0.50 0
1.00 0.30 1.00 0.67 0.00 0
0.78 0.40 1.00 0.67 0.00 1
0.89 0.40 0.83 1.00 0.00 0
0.89 0.10 0.83 0.00 0.00 1
0.89 0.50 1.00 0.67 0.00 1
0.00 0.00 0.00 0.00 0.00 0
0.67 0.40 1.00 0.33 0.50 1
1.00 0.60 0.83 0.67 1.00 1
1.00 0.40 1.00 0.33 0.50 1
0.67 0.10 0.33 0.00 0.50 0
0.89 0.30 0.83 0.00 0.00 0
0.89 0.70 0.83 0.67 0.00 0
0.56 0.30 0.17 0.00 0.00 1
0.67 0.50 0.83 0.33 0.50 1
1.00 0.30 0.83 0.67 1.00 1
1.00 0.60 0.67 0.67 0.50 1
1.00 0.90 1.00 1.00 0.00 0
0.67 0.40 0.83 0.00 0.50 0
0.44 0.30 1.00 0.00 0.50 0
0.89 0.90 1.00 0.67 1.00 1
0.44 0.50 1.00 0.00 0.50 1
0.56 0.30 1.00 1.00 0.50 0
0.89 0.60 0.83 0.67 0.00 0
0.67 0.20 1.00 0.33 0.00 0
0.89 0.40 0.83 1.00 0.50 1
1.00 0.50 0.83 0.67 0.50 1
0.78 0.40 0.83 0.67 0.00 0
0.44 0.00 0.00 0.00 0.00 0
0.89 0.20 1.00 0.33 0.50 0
0.89 0.50 1.00 0.67 0.50 1
0.89 0.30 1.00 0.67 0.00 1
0.44 0.00 0.00 0.00 0.00 1
1.00 0.50 0.83 1.00 0.00 1
0.89 0.60 0.83 0.33 0.00 0
0.67 0.30 0.83 0.00 0.50 1
0.33 0.00 0.00 0.00 0.00 1
0.78 0.30 0.67 0.00 0.50 1
0.89 0.50 1.00 0.67 0.50 0
0.78 0.40 0.67 0.00 0.00 0
0.78 0.50 0.83 0.67 0.00 1
0.89 0.70 1.00 1.00 1.00 0
0.78 0.80 1.00 0.67 0.50 1
0.78 0.60 1.00 0.33 0.50 1
0.67 0.40 0.83 0.33 0.00 0
0.89 0.50 0.83 0.33 0.50 1
0.89 0.50 1.00 0.00 0.50 0
0.78 0.30 1.00 0.33 0.00 1
1.00 0.60 1.00 0.00 0.50 1
1.00 0.30 0.67 0.67 0.00 0
0.78 0.60 0.83 1.00 0.50 1
0.78 0.30 0.33 0.33 0.00 0
0.89 0.70 1.00 0.67 1.00 1
0.89 0.70 1.00 1.00 0.00 0
0.67 0.60 0.67 1.00 0.50 1
1.00 0.50 1.00 0.33 0.50 0
0.67 0.50 0.83 0.33 0.00 0
0.56 0.40 0.67 0.00 0.00 1
0.78 0.40 1.00 0.33 1.00 1
1.00 0.70 1.00 1.00 0.00 0
0.67 0.20 0.17 0.00 0.50 1
0.78 0.50 0.83 0.67 0.00 1
0.56 0.40 0.83 0.67 0.50 0
1.00 0.20 1.00 0.67 1.00 1
0.89 0.50 0.67 0.67 0.00 0
0.44 0.40 0.50 0.00 0.00 0
1.00 0.70 0.67 1.00 1.00 1
0.89 0.60 0.83 0.67 1.00 1
0.78 0.40 0.83 0.00 0.00 0
0.89 0.50 1.00 0.67 1.00 1
0.11 0.00 0.17 0.00 0.00 0
0.89 0.70 1.00 0.67 0.50 0
0.89 0.40 0.67 0.67 0.00 1
1.00 0.50 0.67 1.00 0.00 0
0.89 0.60 0.83 0.67 0.00 0
1.00 0.80 0.50 0.67 0.50 1

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time8 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 8 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265652&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]8 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265652&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265652&T=0

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


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time8 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net






Multiple Linear Regression - Estimated Regression Equation
gender[t] = + 0.173579 + 0.33873Calculation[t] -0.400789Algebraic_Reasoning[t] + 0.213253Graphical_Interpretation[t] -0.00320177Proportionality_and_Ratio[t] + 0.396819Probability_and_Sampling[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
gender[t] =  +  0.173579 +  0.33873Calculation[t] -0.400789Algebraic_Reasoning[t] +  0.213253Graphical_Interpretation[t] -0.00320177Proportionality_and_Ratio[t] +  0.396819Probability_and_Sampling[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265652&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]gender[t] =  +  0.173579 +  0.33873Calculation[t] -0.400789Algebraic_Reasoning[t] +  0.213253Graphical_Interpretation[t] -0.00320177Proportionality_and_Ratio[t] +  0.396819Probability_and_Sampling[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265652&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265652&T=1

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


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

Multiple Linear Regression - Estimated Regression Equation
gender[t] = + 0.173579 + 0.33873Calculation[t] -0.400789Algebraic_Reasoning[t] + 0.213253Graphical_Interpretation[t] -0.00320177Proportionality_and_Ratio[t] + 0.396819Probability_and_Sampling[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)0.1735790.1367281.270.2053370.102669
Calculation0.338730.1861511.820.06990770.0349539
Algebraic_Reasoning-0.4007890.172842-2.3190.02114370.0105719
Graphical_Interpretation0.2132530.1386171.5380.1251020.0625512
Proportionality_and_Ratio-0.003201770.0876505-0.036530.9708870.485444
Probability_and_Sampling0.3968190.08078954.9121.55697e-067.78486e-07

\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) & 0.173579 & 0.136728 & 1.27 & 0.205337 & 0.102669 \tabularnewline
Calculation & 0.33873 & 0.186151 & 1.82 & 0.0699077 & 0.0349539 \tabularnewline
Algebraic_Reasoning & -0.400789 & 0.172842 & -2.319 & 0.0211437 & 0.0105719 \tabularnewline
Graphical_Interpretation & 0.213253 & 0.138617 & 1.538 & 0.125102 & 0.0625512 \tabularnewline
Proportionality_and_Ratio & -0.00320177 & 0.0876505 & -0.03653 & 0.970887 & 0.485444 \tabularnewline
Probability_and_Sampling & 0.396819 & 0.0807895 & 4.912 & 1.55697e-06 & 7.78486e-07 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265652&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]0.173579[/C][C]0.136728[/C][C]1.27[/C][C]0.205337[/C][C]0.102669[/C][/ROW]
[ROW][C]Calculation[/C][C]0.33873[/C][C]0.186151[/C][C]1.82[/C][C]0.0699077[/C][C]0.0349539[/C][/ROW]
[ROW][C]Algebraic_Reasoning[/C][C]-0.400789[/C][C]0.172842[/C][C]-2.319[/C][C]0.0211437[/C][C]0.0105719[/C][/ROW]
[ROW][C]Graphical_Interpretation[/C][C]0.213253[/C][C]0.138617[/C][C]1.538[/C][C]0.125102[/C][C]0.0625512[/C][/ROW]
[ROW][C]Proportionality_and_Ratio[/C][C]-0.00320177[/C][C]0.0876505[/C][C]-0.03653[/C][C]0.970887[/C][C]0.485444[/C][/ROW]
[ROW][C]Probability_and_Sampling[/C][C]0.396819[/C][C]0.0807895[/C][C]4.912[/C][C]1.55697e-06[/C][C]7.78486e-07[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265652&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265652&T=2

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


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

Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)0.1735790.1367281.270.2053370.102669
Calculation0.338730.1861511.820.06990770.0349539
Algebraic_Reasoning-0.4007890.172842-2.3190.02114370.0105719
Graphical_Interpretation0.2132530.1386171.5380.1251020.0625512
Proportionality_and_Ratio-0.003201770.0876505-0.036530.9708870.485444
Probability_and_Sampling0.3968190.08078954.9121.55697e-067.78486e-07






Multiple Linear Regression - Regression Statistics
Multiple R0.351943
R-squared0.123864
Adjusted R-squared0.107818
F-TEST (value)7.7191
F-TEST (DF numerator)5
F-TEST (DF denominator)273
p-value8.2886e-07
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.46848
Sum Squared Residuals59.9164

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.351943 \tabularnewline
R-squared & 0.123864 \tabularnewline
Adjusted R-squared & 0.107818 \tabularnewline
F-TEST (value) & 7.7191 \tabularnewline
F-TEST (DF numerator) & 5 \tabularnewline
F-TEST (DF denominator) & 273 \tabularnewline
p-value & 8.2886e-07 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 0.46848 \tabularnewline
Sum Squared Residuals & 59.9164 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265652&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.351943[/C][/ROW]
[ROW][C]R-squared[/C][C]0.123864[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.107818[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]7.7191[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]5[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]273[/C][/ROW]
[ROW][C]p-value[/C][C]8.2886e-07[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]0.46848[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]59.9164[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265652&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265652&T=3

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


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

Multiple Linear Regression - Regression Statistics
Multiple R0.351943
R-squared0.123864
Adjusted R-squared0.107818
F-TEST (value)7.7191
F-TEST (DF numerator)5
F-TEST (DF denominator)273
p-value8.2886e-07
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.46848
Sum Squared Residuals59.9164






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
100.452649-0.452649
210.6490070.350993
300.525841-0.525841
410.4516540.548346
510.7341940.265806
610.5159610.484039
700.687997-0.687997
810.8532930.146707
910.5699050.430095
1010.4639530.536047
1110.375260.62474
1210.6989190.301081
1310.7263950.273605
1400.419214-0.419214
1500.416477-0.416477
1600.38892-0.38892
1710.6890860.310914
1800.460208-0.460208
1910.4537370.546263
2000.50051-0.50051
2110.4220330.577967
2210.4467710.553229
2300.373258-0.373258
2410.5708340.429166
2510.8024230.197577
2610.3480820.651918
2710.7205350.279465
2800.489588-0.489588
2910.5247840.475216
3000.495225-0.495225
3100.344775-0.344775
3200.656022-0.656022
3310.6040130.395987
3410.5728850.427115
3510.4073660.592634
3610.7260120.273988
3700.270693-0.270693
3810.6989190.301081
3910.6479180.352082
4000.604013-0.604013
4110.6068320.393168
4210.724250.27575
4310.6451810.354819
4410.5620440.437956
4510.4551460.544854
4600.685178-0.685178
4710.5015170.498483
4810.7302210.269779
4900.310907-0.310907
5010.5294430.470557
5110.9226590.0773406
5210.5308040.469196
5310.8951840.104816
5410.5251670.474833
5510.6891350.310865
5610.8797620.120238
5700.451271-0.451271
5810.3105860.689414
5900.274519-0.274519
6010.5611160.438884
6110.7996040.200396
6200.492566-0.492566
6300.688752-0.688752
6410.6070060.392994
6500.656022-0.656022
6610.5686890.431311
6700.696774-0.696774
6810.6470850.352915
6910.5410390.458961
7000.611796-0.611796
7100.52877-0.52877
7200.455467-0.455467
7300.608928-0.608928
7410.6479180.352082
7500.460431-0.460431
7610.5628780.437122
7700.620776-0.620776
7810.6450990.354901
7900.526929-0.526929
8000.379383-0.379383
8110.6909760.309024
8200.736964-0.736964
8300.386918-0.386918
8400.610658-0.610658
8510.4896690.510331
8600.233352-0.233352
8710.4066920.593308
8810.7351230.264877
8900.488531-0.488531
9000.644092-0.644092
9100.299794-0.299794
9210.5333190.466681
9310.6508180.349182
9410.3743150.625685
9500.647999-0.647999
9610.4143940.585606
9700.377455-0.377455
9810.566030.43397
9910.8463280.153672
10010.6078390.392161
10110.6507370.349263
10210.7312160.268784
10300.49135-0.49135
10410.320370.67963
10510.4544720.545528
10610.4879070.512093
10700.514954-0.514954
10800.322447-0.322447
10900.22565-0.22565
11000.459293-0.459293
11100.413386-0.413386
11200.455467-0.455467
11310.4150670.584933
11410.8073860.192614
11510.9254780.074522
11610.8864880.113512
11710.9989420.00105799
11800.643869-0.643869
11910.4534650.546535
12010.5266250.473375
12100.962738-0.962738
12210.4867690.513231
12300.490725-0.490725
12400.455146-0.455146
12510.4484520.551548
12610.4913990.508601
12710.4231710.576829
12810.5289930.471007
12910.4935440.506456
13010.6824410.317559
13110.8062490.193751
13210.9216030.0783972
13300.565246-0.565246
13410.451320.54868
13510.5415270.458473
13611.00391-0.00390584
13710.3377280.662272
13810.8853990.114601
13910.5631010.436899
14000.526848-0.526848
14110.6939560.306044
14210.8118860.188114
14310.8054960.194504
14410.285360.71464
14510.724250.27575
14600.807386-0.807386
14700.492727-0.492727
14810.3755570.624443
14900.615622-0.615622
15000.439865-0.439865
15110.885350.11465
15200.531812-0.531812
15310.8435090.156491
15410.4083730.591627
15500.491733-0.491733
15610.9198410.0801593
15710.6901420.309858
15810.8787050.121295
15900.570579-0.570579
16000.486595-0.486595
16100.613476-0.613476
16200.562878-0.562878
16310.3739320.626068
16400.451271-0.451271
16510.9226590.0773406
16600.801366-0.801366
16710.8864880.113512
16800.601195-0.601195
16910.9588630.0411369
17000.60318-0.60318
17100.60965-0.60965
17210.7623440.237656
17300.527936-0.527936
17410.519980.48002
17510.882580.11742
17610.882580.11742
17710.5670080.432992
17810.7291650.270835
17900.461438-0.461438
18010.6922250.307775
18100.41233-0.41233
18200.651058-0.651058
18300.527986-0.527986
18410.6029570.397043
18500.380224-0.380224
18610.8533750.146625
18700.371434-0.371434
18800.371434-0.371434
18900.371434-0.371434
19000.334174-0.334174
19110.3373760.662624
19210.6040130.395987
19310.5855130.414487
19410.6595140.340486
19500.312348-0.312348
19600.25809-0.25809
19710.7985470.201453
19800.565023-0.565023
19900.321613-0.321613
20000.422114-0.422114
20100.534407-0.534407
20210.4867690.513231
20310.3694320.630568
20400.655701-0.655701
20500.60318-0.60318
20610.488580.51142
20700.488531-0.488531
20810.611970.38803
20910.4857620.514238
21000.173579-0.173579
21110.6508180.349182
21210.8435090.156491
21310.7625990.237401
21400.629232-0.629232
21500.531812-0.531812
21600.369351-0.369351
21710.2792840.720716
21810.5744860.425514
21910.9637460.0362543
22010.6109790.389021
22100.36165-0.36165
22200.615622-0.615622
22300.614046-0.614046
22410.7222650.277735
22510.5338880.466112
22600.651491-0.651491
22700.40943-0.40943
22800.532566-0.532566
22910.686940.31306
23010.6851780.314822
23100.452327-0.452327
23200.32262-0.32262
23300.805496-0.805496
23410.6841710.315829
23510.5659190.434081
23610.322620.67738
23710.4857120.514288
23800.410518-0.410518
23910.6557010.344299
24010.285360.71464
24110.658840.34116
24200.684171-0.684171
24300.420352-0.420352
24410.4122480.587752
24500.801366-0.801366
24610.5266740.473326
24710.607920.39208
24800.416156-0.416156
24910.6490070.350993
25000.686316-0.686316
25110.5297480.470252
25210.6834980.316502
25300.532806-0.532806
25410.5695220.430478
25500.386869-0.386869
25610.8024230.197577
25700.404547-0.404547
25810.4981420.501858
25900.72252-0.72252
26000.376077-0.376077
26110.3458320.654168
26210.8864880.113512
26300.441807-0.441807
26410.5550330.444967
26510.4122480.587752
26600.576216-0.576216
26711.04008-0.0400775
26800.415388-0.415388
26900.268931-0.268931
27010.7682530.231747
27110.8062490.193751
27200.454472-0.454472
27310.882580.11742
27400.247093-0.247093
27500.604013-0.604013
27610.4554670.544533
27700.451592-0.451592
27800.40943-0.40943
27910.4945680.505432

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 0 & 0.452649 & -0.452649 \tabularnewline
2 & 1 & 0.649007 & 0.350993 \tabularnewline
3 & 0 & 0.525841 & -0.525841 \tabularnewline
4 & 1 & 0.451654 & 0.548346 \tabularnewline
5 & 1 & 0.734194 & 0.265806 \tabularnewline
6 & 1 & 0.515961 & 0.484039 \tabularnewline
7 & 0 & 0.687997 & -0.687997 \tabularnewline
8 & 1 & 0.853293 & 0.146707 \tabularnewline
9 & 1 & 0.569905 & 0.430095 \tabularnewline
10 & 1 & 0.463953 & 0.536047 \tabularnewline
11 & 1 & 0.37526 & 0.62474 \tabularnewline
12 & 1 & 0.698919 & 0.301081 \tabularnewline
13 & 1 & 0.726395 & 0.273605 \tabularnewline
14 & 0 & 0.419214 & -0.419214 \tabularnewline
15 & 0 & 0.416477 & -0.416477 \tabularnewline
16 & 0 & 0.38892 & -0.38892 \tabularnewline
17 & 1 & 0.689086 & 0.310914 \tabularnewline
18 & 0 & 0.460208 & -0.460208 \tabularnewline
19 & 1 & 0.453737 & 0.546263 \tabularnewline
20 & 0 & 0.50051 & -0.50051 \tabularnewline
21 & 1 & 0.422033 & 0.577967 \tabularnewline
22 & 1 & 0.446771 & 0.553229 \tabularnewline
23 & 0 & 0.373258 & -0.373258 \tabularnewline
24 & 1 & 0.570834 & 0.429166 \tabularnewline
25 & 1 & 0.802423 & 0.197577 \tabularnewline
26 & 1 & 0.348082 & 0.651918 \tabularnewline
27 & 1 & 0.720535 & 0.279465 \tabularnewline
28 & 0 & 0.489588 & -0.489588 \tabularnewline
29 & 1 & 0.524784 & 0.475216 \tabularnewline
30 & 0 & 0.495225 & -0.495225 \tabularnewline
31 & 0 & 0.344775 & -0.344775 \tabularnewline
32 & 0 & 0.656022 & -0.656022 \tabularnewline
33 & 1 & 0.604013 & 0.395987 \tabularnewline
34 & 1 & 0.572885 & 0.427115 \tabularnewline
35 & 1 & 0.407366 & 0.592634 \tabularnewline
36 & 1 & 0.726012 & 0.273988 \tabularnewline
37 & 0 & 0.270693 & -0.270693 \tabularnewline
38 & 1 & 0.698919 & 0.301081 \tabularnewline
39 & 1 & 0.647918 & 0.352082 \tabularnewline
40 & 0 & 0.604013 & -0.604013 \tabularnewline
41 & 1 & 0.606832 & 0.393168 \tabularnewline
42 & 1 & 0.72425 & 0.27575 \tabularnewline
43 & 1 & 0.645181 & 0.354819 \tabularnewline
44 & 1 & 0.562044 & 0.437956 \tabularnewline
45 & 1 & 0.455146 & 0.544854 \tabularnewline
46 & 0 & 0.685178 & -0.685178 \tabularnewline
47 & 1 & 0.501517 & 0.498483 \tabularnewline
48 & 1 & 0.730221 & 0.269779 \tabularnewline
49 & 0 & 0.310907 & -0.310907 \tabularnewline
50 & 1 & 0.529443 & 0.470557 \tabularnewline
51 & 1 & 0.922659 & 0.0773406 \tabularnewline
52 & 1 & 0.530804 & 0.469196 \tabularnewline
53 & 1 & 0.895184 & 0.104816 \tabularnewline
54 & 1 & 0.525167 & 0.474833 \tabularnewline
55 & 1 & 0.689135 & 0.310865 \tabularnewline
56 & 1 & 0.879762 & 0.120238 \tabularnewline
57 & 0 & 0.451271 & -0.451271 \tabularnewline
58 & 1 & 0.310586 & 0.689414 \tabularnewline
59 & 0 & 0.274519 & -0.274519 \tabularnewline
60 & 1 & 0.561116 & 0.438884 \tabularnewline
61 & 1 & 0.799604 & 0.200396 \tabularnewline
62 & 0 & 0.492566 & -0.492566 \tabularnewline
63 & 0 & 0.688752 & -0.688752 \tabularnewline
64 & 1 & 0.607006 & 0.392994 \tabularnewline
65 & 0 & 0.656022 & -0.656022 \tabularnewline
66 & 1 & 0.568689 & 0.431311 \tabularnewline
67 & 0 & 0.696774 & -0.696774 \tabularnewline
68 & 1 & 0.647085 & 0.352915 \tabularnewline
69 & 1 & 0.541039 & 0.458961 \tabularnewline
70 & 0 & 0.611796 & -0.611796 \tabularnewline
71 & 0 & 0.52877 & -0.52877 \tabularnewline
72 & 0 & 0.455467 & -0.455467 \tabularnewline
73 & 0 & 0.608928 & -0.608928 \tabularnewline
74 & 1 & 0.647918 & 0.352082 \tabularnewline
75 & 0 & 0.460431 & -0.460431 \tabularnewline
76 & 1 & 0.562878 & 0.437122 \tabularnewline
77 & 0 & 0.620776 & -0.620776 \tabularnewline
78 & 1 & 0.645099 & 0.354901 \tabularnewline
79 & 0 & 0.526929 & -0.526929 \tabularnewline
80 & 0 & 0.379383 & -0.379383 \tabularnewline
81 & 1 & 0.690976 & 0.309024 \tabularnewline
82 & 0 & 0.736964 & -0.736964 \tabularnewline
83 & 0 & 0.386918 & -0.386918 \tabularnewline
84 & 0 & 0.610658 & -0.610658 \tabularnewline
85 & 1 & 0.489669 & 0.510331 \tabularnewline
86 & 0 & 0.233352 & -0.233352 \tabularnewline
87 & 1 & 0.406692 & 0.593308 \tabularnewline
88 & 1 & 0.735123 & 0.264877 \tabularnewline
89 & 0 & 0.488531 & -0.488531 \tabularnewline
90 & 0 & 0.644092 & -0.644092 \tabularnewline
91 & 0 & 0.299794 & -0.299794 \tabularnewline
92 & 1 & 0.533319 & 0.466681 \tabularnewline
93 & 1 & 0.650818 & 0.349182 \tabularnewline
94 & 1 & 0.374315 & 0.625685 \tabularnewline
95 & 0 & 0.647999 & -0.647999 \tabularnewline
96 & 1 & 0.414394 & 0.585606 \tabularnewline
97 & 0 & 0.377455 & -0.377455 \tabularnewline
98 & 1 & 0.56603 & 0.43397 \tabularnewline
99 & 1 & 0.846328 & 0.153672 \tabularnewline
100 & 1 & 0.607839 & 0.392161 \tabularnewline
101 & 1 & 0.650737 & 0.349263 \tabularnewline
102 & 1 & 0.731216 & 0.268784 \tabularnewline
103 & 0 & 0.49135 & -0.49135 \tabularnewline
104 & 1 & 0.32037 & 0.67963 \tabularnewline
105 & 1 & 0.454472 & 0.545528 \tabularnewline
106 & 1 & 0.487907 & 0.512093 \tabularnewline
107 & 0 & 0.514954 & -0.514954 \tabularnewline
108 & 0 & 0.322447 & -0.322447 \tabularnewline
109 & 0 & 0.22565 & -0.22565 \tabularnewline
110 & 0 & 0.459293 & -0.459293 \tabularnewline
111 & 0 & 0.413386 & -0.413386 \tabularnewline
112 & 0 & 0.455467 & -0.455467 \tabularnewline
113 & 1 & 0.415067 & 0.584933 \tabularnewline
114 & 1 & 0.807386 & 0.192614 \tabularnewline
115 & 1 & 0.925478 & 0.074522 \tabularnewline
116 & 1 & 0.886488 & 0.113512 \tabularnewline
117 & 1 & 0.998942 & 0.00105799 \tabularnewline
118 & 0 & 0.643869 & -0.643869 \tabularnewline
119 & 1 & 0.453465 & 0.546535 \tabularnewline
120 & 1 & 0.526625 & 0.473375 \tabularnewline
121 & 0 & 0.962738 & -0.962738 \tabularnewline
122 & 1 & 0.486769 & 0.513231 \tabularnewline
123 & 0 & 0.490725 & -0.490725 \tabularnewline
124 & 0 & 0.455146 & -0.455146 \tabularnewline
125 & 1 & 0.448452 & 0.551548 \tabularnewline
126 & 1 & 0.491399 & 0.508601 \tabularnewline
127 & 1 & 0.423171 & 0.576829 \tabularnewline
128 & 1 & 0.528993 & 0.471007 \tabularnewline
129 & 1 & 0.493544 & 0.506456 \tabularnewline
130 & 1 & 0.682441 & 0.317559 \tabularnewline
131 & 1 & 0.806249 & 0.193751 \tabularnewline
132 & 1 & 0.921603 & 0.0783972 \tabularnewline
133 & 0 & 0.565246 & -0.565246 \tabularnewline
134 & 1 & 0.45132 & 0.54868 \tabularnewline
135 & 1 & 0.541527 & 0.458473 \tabularnewline
136 & 1 & 1.00391 & -0.00390584 \tabularnewline
137 & 1 & 0.337728 & 0.662272 \tabularnewline
138 & 1 & 0.885399 & 0.114601 \tabularnewline
139 & 1 & 0.563101 & 0.436899 \tabularnewline
140 & 0 & 0.526848 & -0.526848 \tabularnewline
141 & 1 & 0.693956 & 0.306044 \tabularnewline
142 & 1 & 0.811886 & 0.188114 \tabularnewline
143 & 1 & 0.805496 & 0.194504 \tabularnewline
144 & 1 & 0.28536 & 0.71464 \tabularnewline
145 & 1 & 0.72425 & 0.27575 \tabularnewline
146 & 0 & 0.807386 & -0.807386 \tabularnewline
147 & 0 & 0.492727 & -0.492727 \tabularnewline
148 & 1 & 0.375557 & 0.624443 \tabularnewline
149 & 0 & 0.615622 & -0.615622 \tabularnewline
150 & 0 & 0.439865 & -0.439865 \tabularnewline
151 & 1 & 0.88535 & 0.11465 \tabularnewline
152 & 0 & 0.531812 & -0.531812 \tabularnewline
153 & 1 & 0.843509 & 0.156491 \tabularnewline
154 & 1 & 0.408373 & 0.591627 \tabularnewline
155 & 0 & 0.491733 & -0.491733 \tabularnewline
156 & 1 & 0.919841 & 0.0801593 \tabularnewline
157 & 1 & 0.690142 & 0.309858 \tabularnewline
158 & 1 & 0.878705 & 0.121295 \tabularnewline
159 & 0 & 0.570579 & -0.570579 \tabularnewline
160 & 0 & 0.486595 & -0.486595 \tabularnewline
161 & 0 & 0.613476 & -0.613476 \tabularnewline
162 & 0 & 0.562878 & -0.562878 \tabularnewline
163 & 1 & 0.373932 & 0.626068 \tabularnewline
164 & 0 & 0.451271 & -0.451271 \tabularnewline
165 & 1 & 0.922659 & 0.0773406 \tabularnewline
166 & 0 & 0.801366 & -0.801366 \tabularnewline
167 & 1 & 0.886488 & 0.113512 \tabularnewline
168 & 0 & 0.601195 & -0.601195 \tabularnewline
169 & 1 & 0.958863 & 0.0411369 \tabularnewline
170 & 0 & 0.60318 & -0.60318 \tabularnewline
171 & 0 & 0.60965 & -0.60965 \tabularnewline
172 & 1 & 0.762344 & 0.237656 \tabularnewline
173 & 0 & 0.527936 & -0.527936 \tabularnewline
174 & 1 & 0.51998 & 0.48002 \tabularnewline
175 & 1 & 0.88258 & 0.11742 \tabularnewline
176 & 1 & 0.88258 & 0.11742 \tabularnewline
177 & 1 & 0.567008 & 0.432992 \tabularnewline
178 & 1 & 0.729165 & 0.270835 \tabularnewline
179 & 0 & 0.461438 & -0.461438 \tabularnewline
180 & 1 & 0.692225 & 0.307775 \tabularnewline
181 & 0 & 0.41233 & -0.41233 \tabularnewline
182 & 0 & 0.651058 & -0.651058 \tabularnewline
183 & 0 & 0.527986 & -0.527986 \tabularnewline
184 & 1 & 0.602957 & 0.397043 \tabularnewline
185 & 0 & 0.380224 & -0.380224 \tabularnewline
186 & 1 & 0.853375 & 0.146625 \tabularnewline
187 & 0 & 0.371434 & -0.371434 \tabularnewline
188 & 0 & 0.371434 & -0.371434 \tabularnewline
189 & 0 & 0.371434 & -0.371434 \tabularnewline
190 & 0 & 0.334174 & -0.334174 \tabularnewline
191 & 1 & 0.337376 & 0.662624 \tabularnewline
192 & 1 & 0.604013 & 0.395987 \tabularnewline
193 & 1 & 0.585513 & 0.414487 \tabularnewline
194 & 1 & 0.659514 & 0.340486 \tabularnewline
195 & 0 & 0.312348 & -0.312348 \tabularnewline
196 & 0 & 0.25809 & -0.25809 \tabularnewline
197 & 1 & 0.798547 & 0.201453 \tabularnewline
198 & 0 & 0.565023 & -0.565023 \tabularnewline
199 & 0 & 0.321613 & -0.321613 \tabularnewline
200 & 0 & 0.422114 & -0.422114 \tabularnewline
201 & 0 & 0.534407 & -0.534407 \tabularnewline
202 & 1 & 0.486769 & 0.513231 \tabularnewline
203 & 1 & 0.369432 & 0.630568 \tabularnewline
204 & 0 & 0.655701 & -0.655701 \tabularnewline
205 & 0 & 0.60318 & -0.60318 \tabularnewline
206 & 1 & 0.48858 & 0.51142 \tabularnewline
207 & 0 & 0.488531 & -0.488531 \tabularnewline
208 & 1 & 0.61197 & 0.38803 \tabularnewline
209 & 1 & 0.485762 & 0.514238 \tabularnewline
210 & 0 & 0.173579 & -0.173579 \tabularnewline
211 & 1 & 0.650818 & 0.349182 \tabularnewline
212 & 1 & 0.843509 & 0.156491 \tabularnewline
213 & 1 & 0.762599 & 0.237401 \tabularnewline
214 & 0 & 0.629232 & -0.629232 \tabularnewline
215 & 0 & 0.531812 & -0.531812 \tabularnewline
216 & 0 & 0.369351 & -0.369351 \tabularnewline
217 & 1 & 0.279284 & 0.720716 \tabularnewline
218 & 1 & 0.574486 & 0.425514 \tabularnewline
219 & 1 & 0.963746 & 0.0362543 \tabularnewline
220 & 1 & 0.610979 & 0.389021 \tabularnewline
221 & 0 & 0.36165 & -0.36165 \tabularnewline
222 & 0 & 0.615622 & -0.615622 \tabularnewline
223 & 0 & 0.614046 & -0.614046 \tabularnewline
224 & 1 & 0.722265 & 0.277735 \tabularnewline
225 & 1 & 0.533888 & 0.466112 \tabularnewline
226 & 0 & 0.651491 & -0.651491 \tabularnewline
227 & 0 & 0.40943 & -0.40943 \tabularnewline
228 & 0 & 0.532566 & -0.532566 \tabularnewline
229 & 1 & 0.68694 & 0.31306 \tabularnewline
230 & 1 & 0.685178 & 0.314822 \tabularnewline
231 & 0 & 0.452327 & -0.452327 \tabularnewline
232 & 0 & 0.32262 & -0.32262 \tabularnewline
233 & 0 & 0.805496 & -0.805496 \tabularnewline
234 & 1 & 0.684171 & 0.315829 \tabularnewline
235 & 1 & 0.565919 & 0.434081 \tabularnewline
236 & 1 & 0.32262 & 0.67738 \tabularnewline
237 & 1 & 0.485712 & 0.514288 \tabularnewline
238 & 0 & 0.410518 & -0.410518 \tabularnewline
239 & 1 & 0.655701 & 0.344299 \tabularnewline
240 & 1 & 0.28536 & 0.71464 \tabularnewline
241 & 1 & 0.65884 & 0.34116 \tabularnewline
242 & 0 & 0.684171 & -0.684171 \tabularnewline
243 & 0 & 0.420352 & -0.420352 \tabularnewline
244 & 1 & 0.412248 & 0.587752 \tabularnewline
245 & 0 & 0.801366 & -0.801366 \tabularnewline
246 & 1 & 0.526674 & 0.473326 \tabularnewline
247 & 1 & 0.60792 & 0.39208 \tabularnewline
248 & 0 & 0.416156 & -0.416156 \tabularnewline
249 & 1 & 0.649007 & 0.350993 \tabularnewline
250 & 0 & 0.686316 & -0.686316 \tabularnewline
251 & 1 & 0.529748 & 0.470252 \tabularnewline
252 & 1 & 0.683498 & 0.316502 \tabularnewline
253 & 0 & 0.532806 & -0.532806 \tabularnewline
254 & 1 & 0.569522 & 0.430478 \tabularnewline
255 & 0 & 0.386869 & -0.386869 \tabularnewline
256 & 1 & 0.802423 & 0.197577 \tabularnewline
257 & 0 & 0.404547 & -0.404547 \tabularnewline
258 & 1 & 0.498142 & 0.501858 \tabularnewline
259 & 0 & 0.72252 & -0.72252 \tabularnewline
260 & 0 & 0.376077 & -0.376077 \tabularnewline
261 & 1 & 0.345832 & 0.654168 \tabularnewline
262 & 1 & 0.886488 & 0.113512 \tabularnewline
263 & 0 & 0.441807 & -0.441807 \tabularnewline
264 & 1 & 0.555033 & 0.444967 \tabularnewline
265 & 1 & 0.412248 & 0.587752 \tabularnewline
266 & 0 & 0.576216 & -0.576216 \tabularnewline
267 & 1 & 1.04008 & -0.0400775 \tabularnewline
268 & 0 & 0.415388 & -0.415388 \tabularnewline
269 & 0 & 0.268931 & -0.268931 \tabularnewline
270 & 1 & 0.768253 & 0.231747 \tabularnewline
271 & 1 & 0.806249 & 0.193751 \tabularnewline
272 & 0 & 0.454472 & -0.454472 \tabularnewline
273 & 1 & 0.88258 & 0.11742 \tabularnewline
274 & 0 & 0.247093 & -0.247093 \tabularnewline
275 & 0 & 0.604013 & -0.604013 \tabularnewline
276 & 1 & 0.455467 & 0.544533 \tabularnewline
277 & 0 & 0.451592 & -0.451592 \tabularnewline
278 & 0 & 0.40943 & -0.40943 \tabularnewline
279 & 1 & 0.494568 & 0.505432 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265652&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]0[/C][C]0.452649[/C][C]-0.452649[/C][/ROW]
[ROW][C]2[/C][C]1[/C][C]0.649007[/C][C]0.350993[/C][/ROW]
[ROW][C]3[/C][C]0[/C][C]0.525841[/C][C]-0.525841[/C][/ROW]
[ROW][C]4[/C][C]1[/C][C]0.451654[/C][C]0.548346[/C][/ROW]
[ROW][C]5[/C][C]1[/C][C]0.734194[/C][C]0.265806[/C][/ROW]
[ROW][C]6[/C][C]1[/C][C]0.515961[/C][C]0.484039[/C][/ROW]
[ROW][C]7[/C][C]0[/C][C]0.687997[/C][C]-0.687997[/C][/ROW]
[ROW][C]8[/C][C]1[/C][C]0.853293[/C][C]0.146707[/C][/ROW]
[ROW][C]9[/C][C]1[/C][C]0.569905[/C][C]0.430095[/C][/ROW]
[ROW][C]10[/C][C]1[/C][C]0.463953[/C][C]0.536047[/C][/ROW]
[ROW][C]11[/C][C]1[/C][C]0.37526[/C][C]0.62474[/C][/ROW]
[ROW][C]12[/C][C]1[/C][C]0.698919[/C][C]0.301081[/C][/ROW]
[ROW][C]13[/C][C]1[/C][C]0.726395[/C][C]0.273605[/C][/ROW]
[ROW][C]14[/C][C]0[/C][C]0.419214[/C][C]-0.419214[/C][/ROW]
[ROW][C]15[/C][C]0[/C][C]0.416477[/C][C]-0.416477[/C][/ROW]
[ROW][C]16[/C][C]0[/C][C]0.38892[/C][C]-0.38892[/C][/ROW]
[ROW][C]17[/C][C]1[/C][C]0.689086[/C][C]0.310914[/C][/ROW]
[ROW][C]18[/C][C]0[/C][C]0.460208[/C][C]-0.460208[/C][/ROW]
[ROW][C]19[/C][C]1[/C][C]0.453737[/C][C]0.546263[/C][/ROW]
[ROW][C]20[/C][C]0[/C][C]0.50051[/C][C]-0.50051[/C][/ROW]
[ROW][C]21[/C][C]1[/C][C]0.422033[/C][C]0.577967[/C][/ROW]
[ROW][C]22[/C][C]1[/C][C]0.446771[/C][C]0.553229[/C][/ROW]
[ROW][C]23[/C][C]0[/C][C]0.373258[/C][C]-0.373258[/C][/ROW]
[ROW][C]24[/C][C]1[/C][C]0.570834[/C][C]0.429166[/C][/ROW]
[ROW][C]25[/C][C]1[/C][C]0.802423[/C][C]0.197577[/C][/ROW]
[ROW][C]26[/C][C]1[/C][C]0.348082[/C][C]0.651918[/C][/ROW]
[ROW][C]27[/C][C]1[/C][C]0.720535[/C][C]0.279465[/C][/ROW]
[ROW][C]28[/C][C]0[/C][C]0.489588[/C][C]-0.489588[/C][/ROW]
[ROW][C]29[/C][C]1[/C][C]0.524784[/C][C]0.475216[/C][/ROW]
[ROW][C]30[/C][C]0[/C][C]0.495225[/C][C]-0.495225[/C][/ROW]
[ROW][C]31[/C][C]0[/C][C]0.344775[/C][C]-0.344775[/C][/ROW]
[ROW][C]32[/C][C]0[/C][C]0.656022[/C][C]-0.656022[/C][/ROW]
[ROW][C]33[/C][C]1[/C][C]0.604013[/C][C]0.395987[/C][/ROW]
[ROW][C]34[/C][C]1[/C][C]0.572885[/C][C]0.427115[/C][/ROW]
[ROW][C]35[/C][C]1[/C][C]0.407366[/C][C]0.592634[/C][/ROW]
[ROW][C]36[/C][C]1[/C][C]0.726012[/C][C]0.273988[/C][/ROW]
[ROW][C]37[/C][C]0[/C][C]0.270693[/C][C]-0.270693[/C][/ROW]
[ROW][C]38[/C][C]1[/C][C]0.698919[/C][C]0.301081[/C][/ROW]
[ROW][C]39[/C][C]1[/C][C]0.647918[/C][C]0.352082[/C][/ROW]
[ROW][C]40[/C][C]0[/C][C]0.604013[/C][C]-0.604013[/C][/ROW]
[ROW][C]41[/C][C]1[/C][C]0.606832[/C][C]0.393168[/C][/ROW]
[ROW][C]42[/C][C]1[/C][C]0.72425[/C][C]0.27575[/C][/ROW]
[ROW][C]43[/C][C]1[/C][C]0.645181[/C][C]0.354819[/C][/ROW]
[ROW][C]44[/C][C]1[/C][C]0.562044[/C][C]0.437956[/C][/ROW]
[ROW][C]45[/C][C]1[/C][C]0.455146[/C][C]0.544854[/C][/ROW]
[ROW][C]46[/C][C]0[/C][C]0.685178[/C][C]-0.685178[/C][/ROW]
[ROW][C]47[/C][C]1[/C][C]0.501517[/C][C]0.498483[/C][/ROW]
[ROW][C]48[/C][C]1[/C][C]0.730221[/C][C]0.269779[/C][/ROW]
[ROW][C]49[/C][C]0[/C][C]0.310907[/C][C]-0.310907[/C][/ROW]
[ROW][C]50[/C][C]1[/C][C]0.529443[/C][C]0.470557[/C][/ROW]
[ROW][C]51[/C][C]1[/C][C]0.922659[/C][C]0.0773406[/C][/ROW]
[ROW][C]52[/C][C]1[/C][C]0.530804[/C][C]0.469196[/C][/ROW]
[ROW][C]53[/C][C]1[/C][C]0.895184[/C][C]0.104816[/C][/ROW]
[ROW][C]54[/C][C]1[/C][C]0.525167[/C][C]0.474833[/C][/ROW]
[ROW][C]55[/C][C]1[/C][C]0.689135[/C][C]0.310865[/C][/ROW]
[ROW][C]56[/C][C]1[/C][C]0.879762[/C][C]0.120238[/C][/ROW]
[ROW][C]57[/C][C]0[/C][C]0.451271[/C][C]-0.451271[/C][/ROW]
[ROW][C]58[/C][C]1[/C][C]0.310586[/C][C]0.689414[/C][/ROW]
[ROW][C]59[/C][C]0[/C][C]0.274519[/C][C]-0.274519[/C][/ROW]
[ROW][C]60[/C][C]1[/C][C]0.561116[/C][C]0.438884[/C][/ROW]
[ROW][C]61[/C][C]1[/C][C]0.799604[/C][C]0.200396[/C][/ROW]
[ROW][C]62[/C][C]0[/C][C]0.492566[/C][C]-0.492566[/C][/ROW]
[ROW][C]63[/C][C]0[/C][C]0.688752[/C][C]-0.688752[/C][/ROW]
[ROW][C]64[/C][C]1[/C][C]0.607006[/C][C]0.392994[/C][/ROW]
[ROW][C]65[/C][C]0[/C][C]0.656022[/C][C]-0.656022[/C][/ROW]
[ROW][C]66[/C][C]1[/C][C]0.568689[/C][C]0.431311[/C][/ROW]
[ROW][C]67[/C][C]0[/C][C]0.696774[/C][C]-0.696774[/C][/ROW]
[ROW][C]68[/C][C]1[/C][C]0.647085[/C][C]0.352915[/C][/ROW]
[ROW][C]69[/C][C]1[/C][C]0.541039[/C][C]0.458961[/C][/ROW]
[ROW][C]70[/C][C]0[/C][C]0.611796[/C][C]-0.611796[/C][/ROW]
[ROW][C]71[/C][C]0[/C][C]0.52877[/C][C]-0.52877[/C][/ROW]
[ROW][C]72[/C][C]0[/C][C]0.455467[/C][C]-0.455467[/C][/ROW]
[ROW][C]73[/C][C]0[/C][C]0.608928[/C][C]-0.608928[/C][/ROW]
[ROW][C]74[/C][C]1[/C][C]0.647918[/C][C]0.352082[/C][/ROW]
[ROW][C]75[/C][C]0[/C][C]0.460431[/C][C]-0.460431[/C][/ROW]
[ROW][C]76[/C][C]1[/C][C]0.562878[/C][C]0.437122[/C][/ROW]
[ROW][C]77[/C][C]0[/C][C]0.620776[/C][C]-0.620776[/C][/ROW]
[ROW][C]78[/C][C]1[/C][C]0.645099[/C][C]0.354901[/C][/ROW]
[ROW][C]79[/C][C]0[/C][C]0.526929[/C][C]-0.526929[/C][/ROW]
[ROW][C]80[/C][C]0[/C][C]0.379383[/C][C]-0.379383[/C][/ROW]
[ROW][C]81[/C][C]1[/C][C]0.690976[/C][C]0.309024[/C][/ROW]
[ROW][C]82[/C][C]0[/C][C]0.736964[/C][C]-0.736964[/C][/ROW]
[ROW][C]83[/C][C]0[/C][C]0.386918[/C][C]-0.386918[/C][/ROW]
[ROW][C]84[/C][C]0[/C][C]0.610658[/C][C]-0.610658[/C][/ROW]
[ROW][C]85[/C][C]1[/C][C]0.489669[/C][C]0.510331[/C][/ROW]
[ROW][C]86[/C][C]0[/C][C]0.233352[/C][C]-0.233352[/C][/ROW]
[ROW][C]87[/C][C]1[/C][C]0.406692[/C][C]0.593308[/C][/ROW]
[ROW][C]88[/C][C]1[/C][C]0.735123[/C][C]0.264877[/C][/ROW]
[ROW][C]89[/C][C]0[/C][C]0.488531[/C][C]-0.488531[/C][/ROW]
[ROW][C]90[/C][C]0[/C][C]0.644092[/C][C]-0.644092[/C][/ROW]
[ROW][C]91[/C][C]0[/C][C]0.299794[/C][C]-0.299794[/C][/ROW]
[ROW][C]92[/C][C]1[/C][C]0.533319[/C][C]0.466681[/C][/ROW]
[ROW][C]93[/C][C]1[/C][C]0.650818[/C][C]0.349182[/C][/ROW]
[ROW][C]94[/C][C]1[/C][C]0.374315[/C][C]0.625685[/C][/ROW]
[ROW][C]95[/C][C]0[/C][C]0.647999[/C][C]-0.647999[/C][/ROW]
[ROW][C]96[/C][C]1[/C][C]0.414394[/C][C]0.585606[/C][/ROW]
[ROW][C]97[/C][C]0[/C][C]0.377455[/C][C]-0.377455[/C][/ROW]
[ROW][C]98[/C][C]1[/C][C]0.56603[/C][C]0.43397[/C][/ROW]
[ROW][C]99[/C][C]1[/C][C]0.846328[/C][C]0.153672[/C][/ROW]
[ROW][C]100[/C][C]1[/C][C]0.607839[/C][C]0.392161[/C][/ROW]
[ROW][C]101[/C][C]1[/C][C]0.650737[/C][C]0.349263[/C][/ROW]
[ROW][C]102[/C][C]1[/C][C]0.731216[/C][C]0.268784[/C][/ROW]
[ROW][C]103[/C][C]0[/C][C]0.49135[/C][C]-0.49135[/C][/ROW]
[ROW][C]104[/C][C]1[/C][C]0.32037[/C][C]0.67963[/C][/ROW]
[ROW][C]105[/C][C]1[/C][C]0.454472[/C][C]0.545528[/C][/ROW]
[ROW][C]106[/C][C]1[/C][C]0.487907[/C][C]0.512093[/C][/ROW]
[ROW][C]107[/C][C]0[/C][C]0.514954[/C][C]-0.514954[/C][/ROW]
[ROW][C]108[/C][C]0[/C][C]0.322447[/C][C]-0.322447[/C][/ROW]
[ROW][C]109[/C][C]0[/C][C]0.22565[/C][C]-0.22565[/C][/ROW]
[ROW][C]110[/C][C]0[/C][C]0.459293[/C][C]-0.459293[/C][/ROW]
[ROW][C]111[/C][C]0[/C][C]0.413386[/C][C]-0.413386[/C][/ROW]
[ROW][C]112[/C][C]0[/C][C]0.455467[/C][C]-0.455467[/C][/ROW]
[ROW][C]113[/C][C]1[/C][C]0.415067[/C][C]0.584933[/C][/ROW]
[ROW][C]114[/C][C]1[/C][C]0.807386[/C][C]0.192614[/C][/ROW]
[ROW][C]115[/C][C]1[/C][C]0.925478[/C][C]0.074522[/C][/ROW]
[ROW][C]116[/C][C]1[/C][C]0.886488[/C][C]0.113512[/C][/ROW]
[ROW][C]117[/C][C]1[/C][C]0.998942[/C][C]0.00105799[/C][/ROW]
[ROW][C]118[/C][C]0[/C][C]0.643869[/C][C]-0.643869[/C][/ROW]
[ROW][C]119[/C][C]1[/C][C]0.453465[/C][C]0.546535[/C][/ROW]
[ROW][C]120[/C][C]1[/C][C]0.526625[/C][C]0.473375[/C][/ROW]
[ROW][C]121[/C][C]0[/C][C]0.962738[/C][C]-0.962738[/C][/ROW]
[ROW][C]122[/C][C]1[/C][C]0.486769[/C][C]0.513231[/C][/ROW]
[ROW][C]123[/C][C]0[/C][C]0.490725[/C][C]-0.490725[/C][/ROW]
[ROW][C]124[/C][C]0[/C][C]0.455146[/C][C]-0.455146[/C][/ROW]
[ROW][C]125[/C][C]1[/C][C]0.448452[/C][C]0.551548[/C][/ROW]
[ROW][C]126[/C][C]1[/C][C]0.491399[/C][C]0.508601[/C][/ROW]
[ROW][C]127[/C][C]1[/C][C]0.423171[/C][C]0.576829[/C][/ROW]
[ROW][C]128[/C][C]1[/C][C]0.528993[/C][C]0.471007[/C][/ROW]
[ROW][C]129[/C][C]1[/C][C]0.493544[/C][C]0.506456[/C][/ROW]
[ROW][C]130[/C][C]1[/C][C]0.682441[/C][C]0.317559[/C][/ROW]
[ROW][C]131[/C][C]1[/C][C]0.806249[/C][C]0.193751[/C][/ROW]
[ROW][C]132[/C][C]1[/C][C]0.921603[/C][C]0.0783972[/C][/ROW]
[ROW][C]133[/C][C]0[/C][C]0.565246[/C][C]-0.565246[/C][/ROW]
[ROW][C]134[/C][C]1[/C][C]0.45132[/C][C]0.54868[/C][/ROW]
[ROW][C]135[/C][C]1[/C][C]0.541527[/C][C]0.458473[/C][/ROW]
[ROW][C]136[/C][C]1[/C][C]1.00391[/C][C]-0.00390584[/C][/ROW]
[ROW][C]137[/C][C]1[/C][C]0.337728[/C][C]0.662272[/C][/ROW]
[ROW][C]138[/C][C]1[/C][C]0.885399[/C][C]0.114601[/C][/ROW]
[ROW][C]139[/C][C]1[/C][C]0.563101[/C][C]0.436899[/C][/ROW]
[ROW][C]140[/C][C]0[/C][C]0.526848[/C][C]-0.526848[/C][/ROW]
[ROW][C]141[/C][C]1[/C][C]0.693956[/C][C]0.306044[/C][/ROW]
[ROW][C]142[/C][C]1[/C][C]0.811886[/C][C]0.188114[/C][/ROW]
[ROW][C]143[/C][C]1[/C][C]0.805496[/C][C]0.194504[/C][/ROW]
[ROW][C]144[/C][C]1[/C][C]0.28536[/C][C]0.71464[/C][/ROW]
[ROW][C]145[/C][C]1[/C][C]0.72425[/C][C]0.27575[/C][/ROW]
[ROW][C]146[/C][C]0[/C][C]0.807386[/C][C]-0.807386[/C][/ROW]
[ROW][C]147[/C][C]0[/C][C]0.492727[/C][C]-0.492727[/C][/ROW]
[ROW][C]148[/C][C]1[/C][C]0.375557[/C][C]0.624443[/C][/ROW]
[ROW][C]149[/C][C]0[/C][C]0.615622[/C][C]-0.615622[/C][/ROW]
[ROW][C]150[/C][C]0[/C][C]0.439865[/C][C]-0.439865[/C][/ROW]
[ROW][C]151[/C][C]1[/C][C]0.88535[/C][C]0.11465[/C][/ROW]
[ROW][C]152[/C][C]0[/C][C]0.531812[/C][C]-0.531812[/C][/ROW]
[ROW][C]153[/C][C]1[/C][C]0.843509[/C][C]0.156491[/C][/ROW]
[ROW][C]154[/C][C]1[/C][C]0.408373[/C][C]0.591627[/C][/ROW]
[ROW][C]155[/C][C]0[/C][C]0.491733[/C][C]-0.491733[/C][/ROW]
[ROW][C]156[/C][C]1[/C][C]0.919841[/C][C]0.0801593[/C][/ROW]
[ROW][C]157[/C][C]1[/C][C]0.690142[/C][C]0.309858[/C][/ROW]
[ROW][C]158[/C][C]1[/C][C]0.878705[/C][C]0.121295[/C][/ROW]
[ROW][C]159[/C][C]0[/C][C]0.570579[/C][C]-0.570579[/C][/ROW]
[ROW][C]160[/C][C]0[/C][C]0.486595[/C][C]-0.486595[/C][/ROW]
[ROW][C]161[/C][C]0[/C][C]0.613476[/C][C]-0.613476[/C][/ROW]
[ROW][C]162[/C][C]0[/C][C]0.562878[/C][C]-0.562878[/C][/ROW]
[ROW][C]163[/C][C]1[/C][C]0.373932[/C][C]0.626068[/C][/ROW]
[ROW][C]164[/C][C]0[/C][C]0.451271[/C][C]-0.451271[/C][/ROW]
[ROW][C]165[/C][C]1[/C][C]0.922659[/C][C]0.0773406[/C][/ROW]
[ROW][C]166[/C][C]0[/C][C]0.801366[/C][C]-0.801366[/C][/ROW]
[ROW][C]167[/C][C]1[/C][C]0.886488[/C][C]0.113512[/C][/ROW]
[ROW][C]168[/C][C]0[/C][C]0.601195[/C][C]-0.601195[/C][/ROW]
[ROW][C]169[/C][C]1[/C][C]0.958863[/C][C]0.0411369[/C][/ROW]
[ROW][C]170[/C][C]0[/C][C]0.60318[/C][C]-0.60318[/C][/ROW]
[ROW][C]171[/C][C]0[/C][C]0.60965[/C][C]-0.60965[/C][/ROW]
[ROW][C]172[/C][C]1[/C][C]0.762344[/C][C]0.237656[/C][/ROW]
[ROW][C]173[/C][C]0[/C][C]0.527936[/C][C]-0.527936[/C][/ROW]
[ROW][C]174[/C][C]1[/C][C]0.51998[/C][C]0.48002[/C][/ROW]
[ROW][C]175[/C][C]1[/C][C]0.88258[/C][C]0.11742[/C][/ROW]
[ROW][C]176[/C][C]1[/C][C]0.88258[/C][C]0.11742[/C][/ROW]
[ROW][C]177[/C][C]1[/C][C]0.567008[/C][C]0.432992[/C][/ROW]
[ROW][C]178[/C][C]1[/C][C]0.729165[/C][C]0.270835[/C][/ROW]
[ROW][C]179[/C][C]0[/C][C]0.461438[/C][C]-0.461438[/C][/ROW]
[ROW][C]180[/C][C]1[/C][C]0.692225[/C][C]0.307775[/C][/ROW]
[ROW][C]181[/C][C]0[/C][C]0.41233[/C][C]-0.41233[/C][/ROW]
[ROW][C]182[/C][C]0[/C][C]0.651058[/C][C]-0.651058[/C][/ROW]
[ROW][C]183[/C][C]0[/C][C]0.527986[/C][C]-0.527986[/C][/ROW]
[ROW][C]184[/C][C]1[/C][C]0.602957[/C][C]0.397043[/C][/ROW]
[ROW][C]185[/C][C]0[/C][C]0.380224[/C][C]-0.380224[/C][/ROW]
[ROW][C]186[/C][C]1[/C][C]0.853375[/C][C]0.146625[/C][/ROW]
[ROW][C]187[/C][C]0[/C][C]0.371434[/C][C]-0.371434[/C][/ROW]
[ROW][C]188[/C][C]0[/C][C]0.371434[/C][C]-0.371434[/C][/ROW]
[ROW][C]189[/C][C]0[/C][C]0.371434[/C][C]-0.371434[/C][/ROW]
[ROW][C]190[/C][C]0[/C][C]0.334174[/C][C]-0.334174[/C][/ROW]
[ROW][C]191[/C][C]1[/C][C]0.337376[/C][C]0.662624[/C][/ROW]
[ROW][C]192[/C][C]1[/C][C]0.604013[/C][C]0.395987[/C][/ROW]
[ROW][C]193[/C][C]1[/C][C]0.585513[/C][C]0.414487[/C][/ROW]
[ROW][C]194[/C][C]1[/C][C]0.659514[/C][C]0.340486[/C][/ROW]
[ROW][C]195[/C][C]0[/C][C]0.312348[/C][C]-0.312348[/C][/ROW]
[ROW][C]196[/C][C]0[/C][C]0.25809[/C][C]-0.25809[/C][/ROW]
[ROW][C]197[/C][C]1[/C][C]0.798547[/C][C]0.201453[/C][/ROW]
[ROW][C]198[/C][C]0[/C][C]0.565023[/C][C]-0.565023[/C][/ROW]
[ROW][C]199[/C][C]0[/C][C]0.321613[/C][C]-0.321613[/C][/ROW]
[ROW][C]200[/C][C]0[/C][C]0.422114[/C][C]-0.422114[/C][/ROW]
[ROW][C]201[/C][C]0[/C][C]0.534407[/C][C]-0.534407[/C][/ROW]
[ROW][C]202[/C][C]1[/C][C]0.486769[/C][C]0.513231[/C][/ROW]
[ROW][C]203[/C][C]1[/C][C]0.369432[/C][C]0.630568[/C][/ROW]
[ROW][C]204[/C][C]0[/C][C]0.655701[/C][C]-0.655701[/C][/ROW]
[ROW][C]205[/C][C]0[/C][C]0.60318[/C][C]-0.60318[/C][/ROW]
[ROW][C]206[/C][C]1[/C][C]0.48858[/C][C]0.51142[/C][/ROW]
[ROW][C]207[/C][C]0[/C][C]0.488531[/C][C]-0.488531[/C][/ROW]
[ROW][C]208[/C][C]1[/C][C]0.61197[/C][C]0.38803[/C][/ROW]
[ROW][C]209[/C][C]1[/C][C]0.485762[/C][C]0.514238[/C][/ROW]
[ROW][C]210[/C][C]0[/C][C]0.173579[/C][C]-0.173579[/C][/ROW]
[ROW][C]211[/C][C]1[/C][C]0.650818[/C][C]0.349182[/C][/ROW]
[ROW][C]212[/C][C]1[/C][C]0.843509[/C][C]0.156491[/C][/ROW]
[ROW][C]213[/C][C]1[/C][C]0.762599[/C][C]0.237401[/C][/ROW]
[ROW][C]214[/C][C]0[/C][C]0.629232[/C][C]-0.629232[/C][/ROW]
[ROW][C]215[/C][C]0[/C][C]0.531812[/C][C]-0.531812[/C][/ROW]
[ROW][C]216[/C][C]0[/C][C]0.369351[/C][C]-0.369351[/C][/ROW]
[ROW][C]217[/C][C]1[/C][C]0.279284[/C][C]0.720716[/C][/ROW]
[ROW][C]218[/C][C]1[/C][C]0.574486[/C][C]0.425514[/C][/ROW]
[ROW][C]219[/C][C]1[/C][C]0.963746[/C][C]0.0362543[/C][/ROW]
[ROW][C]220[/C][C]1[/C][C]0.610979[/C][C]0.389021[/C][/ROW]
[ROW][C]221[/C][C]0[/C][C]0.36165[/C][C]-0.36165[/C][/ROW]
[ROW][C]222[/C][C]0[/C][C]0.615622[/C][C]-0.615622[/C][/ROW]
[ROW][C]223[/C][C]0[/C][C]0.614046[/C][C]-0.614046[/C][/ROW]
[ROW][C]224[/C][C]1[/C][C]0.722265[/C][C]0.277735[/C][/ROW]
[ROW][C]225[/C][C]1[/C][C]0.533888[/C][C]0.466112[/C][/ROW]
[ROW][C]226[/C][C]0[/C][C]0.651491[/C][C]-0.651491[/C][/ROW]
[ROW][C]227[/C][C]0[/C][C]0.40943[/C][C]-0.40943[/C][/ROW]
[ROW][C]228[/C][C]0[/C][C]0.532566[/C][C]-0.532566[/C][/ROW]
[ROW][C]229[/C][C]1[/C][C]0.68694[/C][C]0.31306[/C][/ROW]
[ROW][C]230[/C][C]1[/C][C]0.685178[/C][C]0.314822[/C][/ROW]
[ROW][C]231[/C][C]0[/C][C]0.452327[/C][C]-0.452327[/C][/ROW]
[ROW][C]232[/C][C]0[/C][C]0.32262[/C][C]-0.32262[/C][/ROW]
[ROW][C]233[/C][C]0[/C][C]0.805496[/C][C]-0.805496[/C][/ROW]
[ROW][C]234[/C][C]1[/C][C]0.684171[/C][C]0.315829[/C][/ROW]
[ROW][C]235[/C][C]1[/C][C]0.565919[/C][C]0.434081[/C][/ROW]
[ROW][C]236[/C][C]1[/C][C]0.32262[/C][C]0.67738[/C][/ROW]
[ROW][C]237[/C][C]1[/C][C]0.485712[/C][C]0.514288[/C][/ROW]
[ROW][C]238[/C][C]0[/C][C]0.410518[/C][C]-0.410518[/C][/ROW]
[ROW][C]239[/C][C]1[/C][C]0.655701[/C][C]0.344299[/C][/ROW]
[ROW][C]240[/C][C]1[/C][C]0.28536[/C][C]0.71464[/C][/ROW]
[ROW][C]241[/C][C]1[/C][C]0.65884[/C][C]0.34116[/C][/ROW]
[ROW][C]242[/C][C]0[/C][C]0.684171[/C][C]-0.684171[/C][/ROW]
[ROW][C]243[/C][C]0[/C][C]0.420352[/C][C]-0.420352[/C][/ROW]
[ROW][C]244[/C][C]1[/C][C]0.412248[/C][C]0.587752[/C][/ROW]
[ROW][C]245[/C][C]0[/C][C]0.801366[/C][C]-0.801366[/C][/ROW]
[ROW][C]246[/C][C]1[/C][C]0.526674[/C][C]0.473326[/C][/ROW]
[ROW][C]247[/C][C]1[/C][C]0.60792[/C][C]0.39208[/C][/ROW]
[ROW][C]248[/C][C]0[/C][C]0.416156[/C][C]-0.416156[/C][/ROW]
[ROW][C]249[/C][C]1[/C][C]0.649007[/C][C]0.350993[/C][/ROW]
[ROW][C]250[/C][C]0[/C][C]0.686316[/C][C]-0.686316[/C][/ROW]
[ROW][C]251[/C][C]1[/C][C]0.529748[/C][C]0.470252[/C][/ROW]
[ROW][C]252[/C][C]1[/C][C]0.683498[/C][C]0.316502[/C][/ROW]
[ROW][C]253[/C][C]0[/C][C]0.532806[/C][C]-0.532806[/C][/ROW]
[ROW][C]254[/C][C]1[/C][C]0.569522[/C][C]0.430478[/C][/ROW]
[ROW][C]255[/C][C]0[/C][C]0.386869[/C][C]-0.386869[/C][/ROW]
[ROW][C]256[/C][C]1[/C][C]0.802423[/C][C]0.197577[/C][/ROW]
[ROW][C]257[/C][C]0[/C][C]0.404547[/C][C]-0.404547[/C][/ROW]
[ROW][C]258[/C][C]1[/C][C]0.498142[/C][C]0.501858[/C][/ROW]
[ROW][C]259[/C][C]0[/C][C]0.72252[/C][C]-0.72252[/C][/ROW]
[ROW][C]260[/C][C]0[/C][C]0.376077[/C][C]-0.376077[/C][/ROW]
[ROW][C]261[/C][C]1[/C][C]0.345832[/C][C]0.654168[/C][/ROW]
[ROW][C]262[/C][C]1[/C][C]0.886488[/C][C]0.113512[/C][/ROW]
[ROW][C]263[/C][C]0[/C][C]0.441807[/C][C]-0.441807[/C][/ROW]
[ROW][C]264[/C][C]1[/C][C]0.555033[/C][C]0.444967[/C][/ROW]
[ROW][C]265[/C][C]1[/C][C]0.412248[/C][C]0.587752[/C][/ROW]
[ROW][C]266[/C][C]0[/C][C]0.576216[/C][C]-0.576216[/C][/ROW]
[ROW][C]267[/C][C]1[/C][C]1.04008[/C][C]-0.0400775[/C][/ROW]
[ROW][C]268[/C][C]0[/C][C]0.415388[/C][C]-0.415388[/C][/ROW]
[ROW][C]269[/C][C]0[/C][C]0.268931[/C][C]-0.268931[/C][/ROW]
[ROW][C]270[/C][C]1[/C][C]0.768253[/C][C]0.231747[/C][/ROW]
[ROW][C]271[/C][C]1[/C][C]0.806249[/C][C]0.193751[/C][/ROW]
[ROW][C]272[/C][C]0[/C][C]0.454472[/C][C]-0.454472[/C][/ROW]
[ROW][C]273[/C][C]1[/C][C]0.88258[/C][C]0.11742[/C][/ROW]
[ROW][C]274[/C][C]0[/C][C]0.247093[/C][C]-0.247093[/C][/ROW]
[ROW][C]275[/C][C]0[/C][C]0.604013[/C][C]-0.604013[/C][/ROW]
[ROW][C]276[/C][C]1[/C][C]0.455467[/C][C]0.544533[/C][/ROW]
[ROW][C]277[/C][C]0[/C][C]0.451592[/C][C]-0.451592[/C][/ROW]
[ROW][C]278[/C][C]0[/C][C]0.40943[/C][C]-0.40943[/C][/ROW]
[ROW][C]279[/C][C]1[/C][C]0.494568[/C][C]0.505432[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265652&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265652&T=4

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


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

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
100.452649-0.452649
210.6490070.350993
300.525841-0.525841
410.4516540.548346
510.7341940.265806
610.5159610.484039
700.687997-0.687997
810.8532930.146707
910.5699050.430095
1010.4639530.536047
1110.375260.62474
1210.6989190.301081
1310.7263950.273605
1400.419214-0.419214
1500.416477-0.416477
1600.38892-0.38892
1710.6890860.310914
1800.460208-0.460208
1910.4537370.546263
2000.50051-0.50051
2110.4220330.577967
2210.4467710.553229
2300.373258-0.373258
2410.5708340.429166
2510.8024230.197577
2610.3480820.651918
2710.7205350.279465
2800.489588-0.489588
2910.5247840.475216
3000.495225-0.495225
3100.344775-0.344775
3200.656022-0.656022
3310.6040130.395987
3410.5728850.427115
3510.4073660.592634
3610.7260120.273988
3700.270693-0.270693
3810.6989190.301081
3910.6479180.352082
4000.604013-0.604013
4110.6068320.393168
4210.724250.27575
4310.6451810.354819
4410.5620440.437956
4510.4551460.544854
4600.685178-0.685178
4710.5015170.498483
4810.7302210.269779
4900.310907-0.310907
5010.5294430.470557
5110.9226590.0773406
5210.5308040.469196
5310.8951840.104816
5410.5251670.474833
5510.6891350.310865
5610.8797620.120238
5700.451271-0.451271
5810.3105860.689414
5900.274519-0.274519
6010.5611160.438884
6110.7996040.200396
6200.492566-0.492566
6300.688752-0.688752
6410.6070060.392994
6500.656022-0.656022
6610.5686890.431311
6700.696774-0.696774
6810.6470850.352915
6910.5410390.458961
7000.611796-0.611796
7100.52877-0.52877
7200.455467-0.455467
7300.608928-0.608928
7410.6479180.352082
7500.460431-0.460431
7610.5628780.437122
7700.620776-0.620776
7810.6450990.354901
7900.526929-0.526929
8000.379383-0.379383
8110.6909760.309024
8200.736964-0.736964
8300.386918-0.386918
8400.610658-0.610658
8510.4896690.510331
8600.233352-0.233352
8710.4066920.593308
8810.7351230.264877
8900.488531-0.488531
9000.644092-0.644092
9100.299794-0.299794
9210.5333190.466681
9310.6508180.349182
9410.3743150.625685
9500.647999-0.647999
9610.4143940.585606
9700.377455-0.377455
9810.566030.43397
9910.8463280.153672
10010.6078390.392161
10110.6507370.349263
10210.7312160.268784
10300.49135-0.49135
10410.320370.67963
10510.4544720.545528
10610.4879070.512093
10700.514954-0.514954
10800.322447-0.322447
10900.22565-0.22565
11000.459293-0.459293
11100.413386-0.413386
11200.455467-0.455467
11310.4150670.584933
11410.8073860.192614
11510.9254780.074522
11610.8864880.113512
11710.9989420.00105799
11800.643869-0.643869
11910.4534650.546535
12010.5266250.473375
12100.962738-0.962738
12210.4867690.513231
12300.490725-0.490725
12400.455146-0.455146
12510.4484520.551548
12610.4913990.508601
12710.4231710.576829
12810.5289930.471007
12910.4935440.506456
13010.6824410.317559
13110.8062490.193751
13210.9216030.0783972
13300.565246-0.565246
13410.451320.54868
13510.5415270.458473
13611.00391-0.00390584
13710.3377280.662272
13810.8853990.114601
13910.5631010.436899
14000.526848-0.526848
14110.6939560.306044
14210.8118860.188114
14310.8054960.194504
14410.285360.71464
14510.724250.27575
14600.807386-0.807386
14700.492727-0.492727
14810.3755570.624443
14900.615622-0.615622
15000.439865-0.439865
15110.885350.11465
15200.531812-0.531812
15310.8435090.156491
15410.4083730.591627
15500.491733-0.491733
15610.9198410.0801593
15710.6901420.309858
15810.8787050.121295
15900.570579-0.570579
16000.486595-0.486595
16100.613476-0.613476
16200.562878-0.562878
16310.3739320.626068
16400.451271-0.451271
16510.9226590.0773406
16600.801366-0.801366
16710.8864880.113512
16800.601195-0.601195
16910.9588630.0411369
17000.60318-0.60318
17100.60965-0.60965
17210.7623440.237656
17300.527936-0.527936
17410.519980.48002
17510.882580.11742
17610.882580.11742
17710.5670080.432992
17810.7291650.270835
17900.461438-0.461438
18010.6922250.307775
18100.41233-0.41233
18200.651058-0.651058
18300.527986-0.527986
18410.6029570.397043
18500.380224-0.380224
18610.8533750.146625
18700.371434-0.371434
18800.371434-0.371434
18900.371434-0.371434
19000.334174-0.334174
19110.3373760.662624
19210.6040130.395987
19310.5855130.414487
19410.6595140.340486
19500.312348-0.312348
19600.25809-0.25809
19710.7985470.201453
19800.565023-0.565023
19900.321613-0.321613
20000.422114-0.422114
20100.534407-0.534407
20210.4867690.513231
20310.3694320.630568
20400.655701-0.655701
20500.60318-0.60318
20610.488580.51142
20700.488531-0.488531
20810.611970.38803
20910.4857620.514238
21000.173579-0.173579
21110.6508180.349182
21210.8435090.156491
21310.7625990.237401
21400.629232-0.629232
21500.531812-0.531812
21600.369351-0.369351
21710.2792840.720716
21810.5744860.425514
21910.9637460.0362543
22010.6109790.389021
22100.36165-0.36165
22200.615622-0.615622
22300.614046-0.614046
22410.7222650.277735
22510.5338880.466112
22600.651491-0.651491
22700.40943-0.40943
22800.532566-0.532566
22910.686940.31306
23010.6851780.314822
23100.452327-0.452327
23200.32262-0.32262
23300.805496-0.805496
23410.6841710.315829
23510.5659190.434081
23610.322620.67738
23710.4857120.514288
23800.410518-0.410518
23910.6557010.344299
24010.285360.71464
24110.658840.34116
24200.684171-0.684171
24300.420352-0.420352
24410.4122480.587752
24500.801366-0.801366
24610.5266740.473326
24710.607920.39208
24800.416156-0.416156
24910.6490070.350993
25000.686316-0.686316
25110.5297480.470252
25210.6834980.316502
25300.532806-0.532806
25410.5695220.430478
25500.386869-0.386869
25610.8024230.197577
25700.404547-0.404547
25810.4981420.501858
25900.72252-0.72252
26000.376077-0.376077
26110.3458320.654168
26210.8864880.113512
26300.441807-0.441807
26410.5550330.444967
26510.4122480.587752
26600.576216-0.576216
26711.04008-0.0400775
26800.415388-0.415388
26900.268931-0.268931
27010.7682530.231747
27110.8062490.193751
27200.454472-0.454472
27310.882580.11742
27400.247093-0.247093
27500.604013-0.604013
27610.4554670.544533
27700.451592-0.451592
27800.40943-0.40943
27910.4945680.505432






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
90.1599840.3199690.840016
100.4712310.9424620.528769
110.4834470.9668940.516553
120.471280.9425610.52872
130.4033340.8066670.596666
140.4093370.8186730.590663
150.4603510.9207020.539649
160.416360.8327210.58364
170.3754610.7509220.624539
180.4176870.8353730.582313
190.3675890.7351780.632411
200.3355870.6711750.664413
210.5812380.8375240.418762
220.6001580.7996830.399842
230.5666330.8667340.433367
240.5795490.8409010.420451
250.521990.956020.47801
260.6208190.7583620.379181
270.5599350.8801290.440065
280.5399930.9200130.460007
290.6014060.7971870.398594
300.592140.815720.40786
310.5700770.8598450.429923
320.6815110.6369770.318489
330.6533310.6933390.346669
340.652830.694340.34717
350.6735780.6528440.326422
360.633570.7328590.36643
370.5974260.8051480.402574
380.5584360.8831290.441564
390.5184840.9630310.481516
400.5904420.8191160.409558
410.5607260.8785470.439274
420.5164990.9670030.483501
430.477950.95590.52205
440.4572530.9145070.542747
450.4635820.9271650.536418
460.5590830.8818340.440917
470.5525380.8949230.447462
480.5096340.9807320.490366
490.4842030.9684050.515797
500.4683090.9366190.531691
510.4263740.8527490.573626
520.4073410.8146830.592659
530.3640290.7280580.635971
540.3442450.6884910.655755
550.3085190.6170380.691481
560.2712750.5425490.728725
570.2780830.5561670.721917
580.3127120.6254250.687288
590.2889210.5778420.711079
600.2689020.5378040.731098
610.2359660.4719330.764034
620.2702530.5405050.729747
630.3225130.6450260.677487
640.3004120.6008250.699588
650.3712570.7425140.628743
660.3571250.714250.642875
670.4095090.8190180.590491
680.3821570.7643140.617843
690.3911940.7823890.608806
700.4338050.867610.566195
710.4584840.9169690.541516
720.4683810.9367620.531619
730.5066440.9867110.493356
740.4838830.9677660.516117
750.4884740.9769470.511526
760.474530.9490610.52547
770.5037690.9924620.496231
780.4797030.9594070.520297
790.503360.993280.49664
800.4836550.9673090.516345
810.4613770.9227550.538623
820.516110.9677790.48389
830.497580.995160.50242
840.52820.94360.4718
850.5276790.9446430.472321
860.4938750.987750.506125
870.5012410.9975180.498759
880.4759240.9518480.524076
890.4912180.9824370.508782
900.5361520.9276960.463848
910.5121460.9757070.487854
920.5130730.9738540.486927
930.4951470.9902940.504853
940.5176910.9646170.482309
950.5566840.8866320.443316
960.5705310.8589380.429469
970.5620420.8759160.437958
980.5507380.8985240.449262
990.5181690.9636630.481831
1000.5034020.9931960.496598
1010.4858390.9716790.514161
1020.4597360.9194720.540264
1030.4681310.9362620.531869
1040.5239010.9521980.476099
1050.5324430.9351140.467557
1060.5325810.9348380.467419
1070.5301760.9396470.469824
1080.5057350.9885290.494265
1090.4773220.9546450.522678
1100.477520.955040.52248
1110.4740460.9480930.525954
1120.4753370.9506740.524663
1130.4939130.9878250.506087
1140.4644810.9289620.535519
1150.4302140.8604280.569786
1160.3976970.7953930.602303
1170.364520.729040.63548
1180.3955140.7910280.604486
1190.4052130.8104260.594787
1200.4044510.8089010.595549
1210.5171770.9656460.482823
1220.5190670.9618660.480933
1230.5287930.9424150.471207
1240.5269480.9461040.473052
1250.5350310.9299380.464969
1260.5407750.918450.459225
1270.5612580.8774830.438742
1280.5635720.8728550.436428
1290.5735450.8529110.426455
1300.5566870.8866250.443313
1310.5285890.9428220.471411
1320.495050.99010.50495
1330.5206450.9587090.479355
1340.5343580.9312850.465642
1350.5368530.9262930.463147
1360.5023450.995310.497655
1370.537840.924320.46216
1380.505460.989080.49454
1390.5057220.9885550.494278
1400.5182440.9635120.481756
1410.4988320.9976640.501168
1420.4700540.9401080.529946
1430.4449790.8899570.555021
1440.4968070.9936150.503193
1450.4766760.9533510.523324
1460.5462510.9074970.453749
1470.5494640.9010720.450536
1480.5888450.822310.411155
1490.6111740.7776520.388826
1500.6126620.7746760.387338
1510.5808570.8382860.419143
1520.5866930.8266150.413307
1530.5552740.8894520.444726
1540.5823850.835230.417615
1550.5829460.8341080.417054
1560.5493730.9012540.450627
1570.5310860.9378280.468914
1580.4981010.9962010.501899
1590.516950.9661010.48305
1600.5239150.952170.476085
1610.5467630.9064750.453237
1620.5645940.8708110.435406
1630.6035850.7928310.396415
1640.5958340.8083310.404166
1650.5622970.8754060.437703
1660.6386280.7227450.361372
1670.6065980.7868030.393402
1680.6318260.7363480.368174
1690.5980440.8039110.401956
1700.6079430.7841140.392057
1710.6290830.7418330.370917
1720.6006870.7986250.399313
1730.6019150.7961710.398085
1740.5990560.8018890.400944
1750.5654320.8691360.434568
1760.5312570.9374860.468743
1770.5454920.9090150.454508
1780.524950.9500990.47505
1790.5194650.9610710.480535
1800.4985310.9970620.501469
1810.4832930.9665860.516707
1820.5206310.9587380.479369
1830.5182520.9634950.481748
1840.5096680.9806640.490332
1850.4988860.9977710.501114
1860.4643340.9286690.535666
1870.4501970.9003950.549803
1880.4374120.8748250.562588
1890.4266510.8533020.573349
1900.412850.8256990.58715
1910.4415740.8831480.558426
1920.4313020.8626040.568698
1930.4311420.8622850.568858
1940.4173690.8347380.582631
1950.4003630.8007270.599637
1960.3717190.7434370.628281
1970.3398850.679770.660115
1980.3613690.7227370.638631
1990.3423410.6846810.657659
2000.329950.65990.67005
2010.3458980.6917960.654102
2020.3590080.7180160.640992
2030.3960670.7921340.603933
2040.4244370.8488740.575563
2050.4246040.8492070.575396
2060.4645290.9290590.535471
2070.4525220.9050440.547478
2080.4709310.9418620.529069
2090.515690.968620.48431
2100.497730.9954590.50227
2110.4962260.9924530.503774
2120.4567270.9134540.543273
2130.4460810.8921630.553919
2140.5142780.9714440.485722
2150.5002160.9995670.499784
2160.4799540.9599080.520046
2170.4938850.987770.506115
2180.4862290.9724580.513771
2190.4435050.887010.556495
2200.4177210.8354420.582279
2210.3931180.7862360.606882
2220.4175680.8351370.582432
2230.4279460.8558930.572054
2240.388940.777880.61106
2250.3952310.7904620.604769
2260.4105740.8211490.589426
2270.3891950.7783910.610805
2280.3691340.7382690.630866
2290.3445240.6890480.655476
2300.3240210.6480410.675979
2310.3070030.6140060.692997
2320.3258960.6517930.674104
2330.380440.7608790.61956
2340.3625780.7251550.637422
2350.3976170.7952330.602383
2360.3873560.7747120.612644
2370.4482910.8965820.551709
2380.4198940.8397870.580106
2390.3968790.7937580.603121
2400.4073970.8147940.592603
2410.3847560.7695120.615244
2420.4058130.8116270.594187
2430.3824810.7649630.617519
2440.4547080.9094160.545292
2450.616790.7664190.38321
2460.5979940.8040110.402006
2470.588860.8222790.41114
2480.5446320.9107370.455368
2490.5252840.9494330.474716
2500.568040.863920.43196
2510.7131750.573650.286825
2520.7120280.5759440.287972
2530.671430.6571390.32857
2540.6596910.6806190.340309
2550.6601170.6797670.339883
2560.6012870.7974260.398713
2570.5333810.9332380.466619
2580.539550.92090.46045
2590.630630.7387390.36937
2600.5614790.8770420.438521
2610.7322620.5354760.267738
2620.6729190.6541620.327081
2630.5917450.8165090.408255
2640.4977190.9954390.502281
2650.8899850.220030.110015
2660.8250750.3498490.174925
2670.7851480.4297040.214852
2680.7190720.5618550.280928
2690.5964680.8070640.403532
2700.4692010.9384020.530799

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
9 & 0.159984 & 0.319969 & 0.840016 \tabularnewline
10 & 0.471231 & 0.942462 & 0.528769 \tabularnewline
11 & 0.483447 & 0.966894 & 0.516553 \tabularnewline
12 & 0.47128 & 0.942561 & 0.52872 \tabularnewline
13 & 0.403334 & 0.806667 & 0.596666 \tabularnewline
14 & 0.409337 & 0.818673 & 0.590663 \tabularnewline
15 & 0.460351 & 0.920702 & 0.539649 \tabularnewline
16 & 0.41636 & 0.832721 & 0.58364 \tabularnewline
17 & 0.375461 & 0.750922 & 0.624539 \tabularnewline
18 & 0.417687 & 0.835373 & 0.582313 \tabularnewline
19 & 0.367589 & 0.735178 & 0.632411 \tabularnewline
20 & 0.335587 & 0.671175 & 0.664413 \tabularnewline
21 & 0.581238 & 0.837524 & 0.418762 \tabularnewline
22 & 0.600158 & 0.799683 & 0.399842 \tabularnewline
23 & 0.566633 & 0.866734 & 0.433367 \tabularnewline
24 & 0.579549 & 0.840901 & 0.420451 \tabularnewline
25 & 0.52199 & 0.95602 & 0.47801 \tabularnewline
26 & 0.620819 & 0.758362 & 0.379181 \tabularnewline
27 & 0.559935 & 0.880129 & 0.440065 \tabularnewline
28 & 0.539993 & 0.920013 & 0.460007 \tabularnewline
29 & 0.601406 & 0.797187 & 0.398594 \tabularnewline
30 & 0.59214 & 0.81572 & 0.40786 \tabularnewline
31 & 0.570077 & 0.859845 & 0.429923 \tabularnewline
32 & 0.681511 & 0.636977 & 0.318489 \tabularnewline
33 & 0.653331 & 0.693339 & 0.346669 \tabularnewline
34 & 0.65283 & 0.69434 & 0.34717 \tabularnewline
35 & 0.673578 & 0.652844 & 0.326422 \tabularnewline
36 & 0.63357 & 0.732859 & 0.36643 \tabularnewline
37 & 0.597426 & 0.805148 & 0.402574 \tabularnewline
38 & 0.558436 & 0.883129 & 0.441564 \tabularnewline
39 & 0.518484 & 0.963031 & 0.481516 \tabularnewline
40 & 0.590442 & 0.819116 & 0.409558 \tabularnewline
41 & 0.560726 & 0.878547 & 0.439274 \tabularnewline
42 & 0.516499 & 0.967003 & 0.483501 \tabularnewline
43 & 0.47795 & 0.9559 & 0.52205 \tabularnewline
44 & 0.457253 & 0.914507 & 0.542747 \tabularnewline
45 & 0.463582 & 0.927165 & 0.536418 \tabularnewline
46 & 0.559083 & 0.881834 & 0.440917 \tabularnewline
47 & 0.552538 & 0.894923 & 0.447462 \tabularnewline
48 & 0.509634 & 0.980732 & 0.490366 \tabularnewline
49 & 0.484203 & 0.968405 & 0.515797 \tabularnewline
50 & 0.468309 & 0.936619 & 0.531691 \tabularnewline
51 & 0.426374 & 0.852749 & 0.573626 \tabularnewline
52 & 0.407341 & 0.814683 & 0.592659 \tabularnewline
53 & 0.364029 & 0.728058 & 0.635971 \tabularnewline
54 & 0.344245 & 0.688491 & 0.655755 \tabularnewline
55 & 0.308519 & 0.617038 & 0.691481 \tabularnewline
56 & 0.271275 & 0.542549 & 0.728725 \tabularnewline
57 & 0.278083 & 0.556167 & 0.721917 \tabularnewline
58 & 0.312712 & 0.625425 & 0.687288 \tabularnewline
59 & 0.288921 & 0.577842 & 0.711079 \tabularnewline
60 & 0.268902 & 0.537804 & 0.731098 \tabularnewline
61 & 0.235966 & 0.471933 & 0.764034 \tabularnewline
62 & 0.270253 & 0.540505 & 0.729747 \tabularnewline
63 & 0.322513 & 0.645026 & 0.677487 \tabularnewline
64 & 0.300412 & 0.600825 & 0.699588 \tabularnewline
65 & 0.371257 & 0.742514 & 0.628743 \tabularnewline
66 & 0.357125 & 0.71425 & 0.642875 \tabularnewline
67 & 0.409509 & 0.819018 & 0.590491 \tabularnewline
68 & 0.382157 & 0.764314 & 0.617843 \tabularnewline
69 & 0.391194 & 0.782389 & 0.608806 \tabularnewline
70 & 0.433805 & 0.86761 & 0.566195 \tabularnewline
71 & 0.458484 & 0.916969 & 0.541516 \tabularnewline
72 & 0.468381 & 0.936762 & 0.531619 \tabularnewline
73 & 0.506644 & 0.986711 & 0.493356 \tabularnewline
74 & 0.483883 & 0.967766 & 0.516117 \tabularnewline
75 & 0.488474 & 0.976947 & 0.511526 \tabularnewline
76 & 0.47453 & 0.949061 & 0.52547 \tabularnewline
77 & 0.503769 & 0.992462 & 0.496231 \tabularnewline
78 & 0.479703 & 0.959407 & 0.520297 \tabularnewline
79 & 0.50336 & 0.99328 & 0.49664 \tabularnewline
80 & 0.483655 & 0.967309 & 0.516345 \tabularnewline
81 & 0.461377 & 0.922755 & 0.538623 \tabularnewline
82 & 0.51611 & 0.967779 & 0.48389 \tabularnewline
83 & 0.49758 & 0.99516 & 0.50242 \tabularnewline
84 & 0.5282 & 0.9436 & 0.4718 \tabularnewline
85 & 0.527679 & 0.944643 & 0.472321 \tabularnewline
86 & 0.493875 & 0.98775 & 0.506125 \tabularnewline
87 & 0.501241 & 0.997518 & 0.498759 \tabularnewline
88 & 0.475924 & 0.951848 & 0.524076 \tabularnewline
89 & 0.491218 & 0.982437 & 0.508782 \tabularnewline
90 & 0.536152 & 0.927696 & 0.463848 \tabularnewline
91 & 0.512146 & 0.975707 & 0.487854 \tabularnewline
92 & 0.513073 & 0.973854 & 0.486927 \tabularnewline
93 & 0.495147 & 0.990294 & 0.504853 \tabularnewline
94 & 0.517691 & 0.964617 & 0.482309 \tabularnewline
95 & 0.556684 & 0.886632 & 0.443316 \tabularnewline
96 & 0.570531 & 0.858938 & 0.429469 \tabularnewline
97 & 0.562042 & 0.875916 & 0.437958 \tabularnewline
98 & 0.550738 & 0.898524 & 0.449262 \tabularnewline
99 & 0.518169 & 0.963663 & 0.481831 \tabularnewline
100 & 0.503402 & 0.993196 & 0.496598 \tabularnewline
101 & 0.485839 & 0.971679 & 0.514161 \tabularnewline
102 & 0.459736 & 0.919472 & 0.540264 \tabularnewline
103 & 0.468131 & 0.936262 & 0.531869 \tabularnewline
104 & 0.523901 & 0.952198 & 0.476099 \tabularnewline
105 & 0.532443 & 0.935114 & 0.467557 \tabularnewline
106 & 0.532581 & 0.934838 & 0.467419 \tabularnewline
107 & 0.530176 & 0.939647 & 0.469824 \tabularnewline
108 & 0.505735 & 0.988529 & 0.494265 \tabularnewline
109 & 0.477322 & 0.954645 & 0.522678 \tabularnewline
110 & 0.47752 & 0.95504 & 0.52248 \tabularnewline
111 & 0.474046 & 0.948093 & 0.525954 \tabularnewline
112 & 0.475337 & 0.950674 & 0.524663 \tabularnewline
113 & 0.493913 & 0.987825 & 0.506087 \tabularnewline
114 & 0.464481 & 0.928962 & 0.535519 \tabularnewline
115 & 0.430214 & 0.860428 & 0.569786 \tabularnewline
116 & 0.397697 & 0.795393 & 0.602303 \tabularnewline
117 & 0.36452 & 0.72904 & 0.63548 \tabularnewline
118 & 0.395514 & 0.791028 & 0.604486 \tabularnewline
119 & 0.405213 & 0.810426 & 0.594787 \tabularnewline
120 & 0.404451 & 0.808901 & 0.595549 \tabularnewline
121 & 0.517177 & 0.965646 & 0.482823 \tabularnewline
122 & 0.519067 & 0.961866 & 0.480933 \tabularnewline
123 & 0.528793 & 0.942415 & 0.471207 \tabularnewline
124 & 0.526948 & 0.946104 & 0.473052 \tabularnewline
125 & 0.535031 & 0.929938 & 0.464969 \tabularnewline
126 & 0.540775 & 0.91845 & 0.459225 \tabularnewline
127 & 0.561258 & 0.877483 & 0.438742 \tabularnewline
128 & 0.563572 & 0.872855 & 0.436428 \tabularnewline
129 & 0.573545 & 0.852911 & 0.426455 \tabularnewline
130 & 0.556687 & 0.886625 & 0.443313 \tabularnewline
131 & 0.528589 & 0.942822 & 0.471411 \tabularnewline
132 & 0.49505 & 0.9901 & 0.50495 \tabularnewline
133 & 0.520645 & 0.958709 & 0.479355 \tabularnewline
134 & 0.534358 & 0.931285 & 0.465642 \tabularnewline
135 & 0.536853 & 0.926293 & 0.463147 \tabularnewline
136 & 0.502345 & 0.99531 & 0.497655 \tabularnewline
137 & 0.53784 & 0.92432 & 0.46216 \tabularnewline
138 & 0.50546 & 0.98908 & 0.49454 \tabularnewline
139 & 0.505722 & 0.988555 & 0.494278 \tabularnewline
140 & 0.518244 & 0.963512 & 0.481756 \tabularnewline
141 & 0.498832 & 0.997664 & 0.501168 \tabularnewline
142 & 0.470054 & 0.940108 & 0.529946 \tabularnewline
143 & 0.444979 & 0.889957 & 0.555021 \tabularnewline
144 & 0.496807 & 0.993615 & 0.503193 \tabularnewline
145 & 0.476676 & 0.953351 & 0.523324 \tabularnewline
146 & 0.546251 & 0.907497 & 0.453749 \tabularnewline
147 & 0.549464 & 0.901072 & 0.450536 \tabularnewline
148 & 0.588845 & 0.82231 & 0.411155 \tabularnewline
149 & 0.611174 & 0.777652 & 0.388826 \tabularnewline
150 & 0.612662 & 0.774676 & 0.387338 \tabularnewline
151 & 0.580857 & 0.838286 & 0.419143 \tabularnewline
152 & 0.586693 & 0.826615 & 0.413307 \tabularnewline
153 & 0.555274 & 0.889452 & 0.444726 \tabularnewline
154 & 0.582385 & 0.83523 & 0.417615 \tabularnewline
155 & 0.582946 & 0.834108 & 0.417054 \tabularnewline
156 & 0.549373 & 0.901254 & 0.450627 \tabularnewline
157 & 0.531086 & 0.937828 & 0.468914 \tabularnewline
158 & 0.498101 & 0.996201 & 0.501899 \tabularnewline
159 & 0.51695 & 0.966101 & 0.48305 \tabularnewline
160 & 0.523915 & 0.95217 & 0.476085 \tabularnewline
161 & 0.546763 & 0.906475 & 0.453237 \tabularnewline
162 & 0.564594 & 0.870811 & 0.435406 \tabularnewline
163 & 0.603585 & 0.792831 & 0.396415 \tabularnewline
164 & 0.595834 & 0.808331 & 0.404166 \tabularnewline
165 & 0.562297 & 0.875406 & 0.437703 \tabularnewline
166 & 0.638628 & 0.722745 & 0.361372 \tabularnewline
167 & 0.606598 & 0.786803 & 0.393402 \tabularnewline
168 & 0.631826 & 0.736348 & 0.368174 \tabularnewline
169 & 0.598044 & 0.803911 & 0.401956 \tabularnewline
170 & 0.607943 & 0.784114 & 0.392057 \tabularnewline
171 & 0.629083 & 0.741833 & 0.370917 \tabularnewline
172 & 0.600687 & 0.798625 & 0.399313 \tabularnewline
173 & 0.601915 & 0.796171 & 0.398085 \tabularnewline
174 & 0.599056 & 0.801889 & 0.400944 \tabularnewline
175 & 0.565432 & 0.869136 & 0.434568 \tabularnewline
176 & 0.531257 & 0.937486 & 0.468743 \tabularnewline
177 & 0.545492 & 0.909015 & 0.454508 \tabularnewline
178 & 0.52495 & 0.950099 & 0.47505 \tabularnewline
179 & 0.519465 & 0.961071 & 0.480535 \tabularnewline
180 & 0.498531 & 0.997062 & 0.501469 \tabularnewline
181 & 0.483293 & 0.966586 & 0.516707 \tabularnewline
182 & 0.520631 & 0.958738 & 0.479369 \tabularnewline
183 & 0.518252 & 0.963495 & 0.481748 \tabularnewline
184 & 0.509668 & 0.980664 & 0.490332 \tabularnewline
185 & 0.498886 & 0.997771 & 0.501114 \tabularnewline
186 & 0.464334 & 0.928669 & 0.535666 \tabularnewline
187 & 0.450197 & 0.900395 & 0.549803 \tabularnewline
188 & 0.437412 & 0.874825 & 0.562588 \tabularnewline
189 & 0.426651 & 0.853302 & 0.573349 \tabularnewline
190 & 0.41285 & 0.825699 & 0.58715 \tabularnewline
191 & 0.441574 & 0.883148 & 0.558426 \tabularnewline
192 & 0.431302 & 0.862604 & 0.568698 \tabularnewline
193 & 0.431142 & 0.862285 & 0.568858 \tabularnewline
194 & 0.417369 & 0.834738 & 0.582631 \tabularnewline
195 & 0.400363 & 0.800727 & 0.599637 \tabularnewline
196 & 0.371719 & 0.743437 & 0.628281 \tabularnewline
197 & 0.339885 & 0.67977 & 0.660115 \tabularnewline
198 & 0.361369 & 0.722737 & 0.638631 \tabularnewline
199 & 0.342341 & 0.684681 & 0.657659 \tabularnewline
200 & 0.32995 & 0.6599 & 0.67005 \tabularnewline
201 & 0.345898 & 0.691796 & 0.654102 \tabularnewline
202 & 0.359008 & 0.718016 & 0.640992 \tabularnewline
203 & 0.396067 & 0.792134 & 0.603933 \tabularnewline
204 & 0.424437 & 0.848874 & 0.575563 \tabularnewline
205 & 0.424604 & 0.849207 & 0.575396 \tabularnewline
206 & 0.464529 & 0.929059 & 0.535471 \tabularnewline
207 & 0.452522 & 0.905044 & 0.547478 \tabularnewline
208 & 0.470931 & 0.941862 & 0.529069 \tabularnewline
209 & 0.51569 & 0.96862 & 0.48431 \tabularnewline
210 & 0.49773 & 0.995459 & 0.50227 \tabularnewline
211 & 0.496226 & 0.992453 & 0.503774 \tabularnewline
212 & 0.456727 & 0.913454 & 0.543273 \tabularnewline
213 & 0.446081 & 0.892163 & 0.553919 \tabularnewline
214 & 0.514278 & 0.971444 & 0.485722 \tabularnewline
215 & 0.500216 & 0.999567 & 0.499784 \tabularnewline
216 & 0.479954 & 0.959908 & 0.520046 \tabularnewline
217 & 0.493885 & 0.98777 & 0.506115 \tabularnewline
218 & 0.486229 & 0.972458 & 0.513771 \tabularnewline
219 & 0.443505 & 0.88701 & 0.556495 \tabularnewline
220 & 0.417721 & 0.835442 & 0.582279 \tabularnewline
221 & 0.393118 & 0.786236 & 0.606882 \tabularnewline
222 & 0.417568 & 0.835137 & 0.582432 \tabularnewline
223 & 0.427946 & 0.855893 & 0.572054 \tabularnewline
224 & 0.38894 & 0.77788 & 0.61106 \tabularnewline
225 & 0.395231 & 0.790462 & 0.604769 \tabularnewline
226 & 0.410574 & 0.821149 & 0.589426 \tabularnewline
227 & 0.389195 & 0.778391 & 0.610805 \tabularnewline
228 & 0.369134 & 0.738269 & 0.630866 \tabularnewline
229 & 0.344524 & 0.689048 & 0.655476 \tabularnewline
230 & 0.324021 & 0.648041 & 0.675979 \tabularnewline
231 & 0.307003 & 0.614006 & 0.692997 \tabularnewline
232 & 0.325896 & 0.651793 & 0.674104 \tabularnewline
233 & 0.38044 & 0.760879 & 0.61956 \tabularnewline
234 & 0.362578 & 0.725155 & 0.637422 \tabularnewline
235 & 0.397617 & 0.795233 & 0.602383 \tabularnewline
236 & 0.387356 & 0.774712 & 0.612644 \tabularnewline
237 & 0.448291 & 0.896582 & 0.551709 \tabularnewline
238 & 0.419894 & 0.839787 & 0.580106 \tabularnewline
239 & 0.396879 & 0.793758 & 0.603121 \tabularnewline
240 & 0.407397 & 0.814794 & 0.592603 \tabularnewline
241 & 0.384756 & 0.769512 & 0.615244 \tabularnewline
242 & 0.405813 & 0.811627 & 0.594187 \tabularnewline
243 & 0.382481 & 0.764963 & 0.617519 \tabularnewline
244 & 0.454708 & 0.909416 & 0.545292 \tabularnewline
245 & 0.61679 & 0.766419 & 0.38321 \tabularnewline
246 & 0.597994 & 0.804011 & 0.402006 \tabularnewline
247 & 0.58886 & 0.822279 & 0.41114 \tabularnewline
248 & 0.544632 & 0.910737 & 0.455368 \tabularnewline
249 & 0.525284 & 0.949433 & 0.474716 \tabularnewline
250 & 0.56804 & 0.86392 & 0.43196 \tabularnewline
251 & 0.713175 & 0.57365 & 0.286825 \tabularnewline
252 & 0.712028 & 0.575944 & 0.287972 \tabularnewline
253 & 0.67143 & 0.657139 & 0.32857 \tabularnewline
254 & 0.659691 & 0.680619 & 0.340309 \tabularnewline
255 & 0.660117 & 0.679767 & 0.339883 \tabularnewline
256 & 0.601287 & 0.797426 & 0.398713 \tabularnewline
257 & 0.533381 & 0.933238 & 0.466619 \tabularnewline
258 & 0.53955 & 0.9209 & 0.46045 \tabularnewline
259 & 0.63063 & 0.738739 & 0.36937 \tabularnewline
260 & 0.561479 & 0.877042 & 0.438521 \tabularnewline
261 & 0.732262 & 0.535476 & 0.267738 \tabularnewline
262 & 0.672919 & 0.654162 & 0.327081 \tabularnewline
263 & 0.591745 & 0.816509 & 0.408255 \tabularnewline
264 & 0.497719 & 0.995439 & 0.502281 \tabularnewline
265 & 0.889985 & 0.22003 & 0.110015 \tabularnewline
266 & 0.825075 & 0.349849 & 0.174925 \tabularnewline
267 & 0.785148 & 0.429704 & 0.214852 \tabularnewline
268 & 0.719072 & 0.561855 & 0.280928 \tabularnewline
269 & 0.596468 & 0.807064 & 0.403532 \tabularnewline
270 & 0.469201 & 0.938402 & 0.530799 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265652&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]9[/C][C]0.159984[/C][C]0.319969[/C][C]0.840016[/C][/ROW]
[ROW][C]10[/C][C]0.471231[/C][C]0.942462[/C][C]0.528769[/C][/ROW]
[ROW][C]11[/C][C]0.483447[/C][C]0.966894[/C][C]0.516553[/C][/ROW]
[ROW][C]12[/C][C]0.47128[/C][C]0.942561[/C][C]0.52872[/C][/ROW]
[ROW][C]13[/C][C]0.403334[/C][C]0.806667[/C][C]0.596666[/C][/ROW]
[ROW][C]14[/C][C]0.409337[/C][C]0.818673[/C][C]0.590663[/C][/ROW]
[ROW][C]15[/C][C]0.460351[/C][C]0.920702[/C][C]0.539649[/C][/ROW]
[ROW][C]16[/C][C]0.41636[/C][C]0.832721[/C][C]0.58364[/C][/ROW]
[ROW][C]17[/C][C]0.375461[/C][C]0.750922[/C][C]0.624539[/C][/ROW]
[ROW][C]18[/C][C]0.417687[/C][C]0.835373[/C][C]0.582313[/C][/ROW]
[ROW][C]19[/C][C]0.367589[/C][C]0.735178[/C][C]0.632411[/C][/ROW]
[ROW][C]20[/C][C]0.335587[/C][C]0.671175[/C][C]0.664413[/C][/ROW]
[ROW][C]21[/C][C]0.581238[/C][C]0.837524[/C][C]0.418762[/C][/ROW]
[ROW][C]22[/C][C]0.600158[/C][C]0.799683[/C][C]0.399842[/C][/ROW]
[ROW][C]23[/C][C]0.566633[/C][C]0.866734[/C][C]0.433367[/C][/ROW]
[ROW][C]24[/C][C]0.579549[/C][C]0.840901[/C][C]0.420451[/C][/ROW]
[ROW][C]25[/C][C]0.52199[/C][C]0.95602[/C][C]0.47801[/C][/ROW]
[ROW][C]26[/C][C]0.620819[/C][C]0.758362[/C][C]0.379181[/C][/ROW]
[ROW][C]27[/C][C]0.559935[/C][C]0.880129[/C][C]0.440065[/C][/ROW]
[ROW][C]28[/C][C]0.539993[/C][C]0.920013[/C][C]0.460007[/C][/ROW]
[ROW][C]29[/C][C]0.601406[/C][C]0.797187[/C][C]0.398594[/C][/ROW]
[ROW][C]30[/C][C]0.59214[/C][C]0.81572[/C][C]0.40786[/C][/ROW]
[ROW][C]31[/C][C]0.570077[/C][C]0.859845[/C][C]0.429923[/C][/ROW]
[ROW][C]32[/C][C]0.681511[/C][C]0.636977[/C][C]0.318489[/C][/ROW]
[ROW][C]33[/C][C]0.653331[/C][C]0.693339[/C][C]0.346669[/C][/ROW]
[ROW][C]34[/C][C]0.65283[/C][C]0.69434[/C][C]0.34717[/C][/ROW]
[ROW][C]35[/C][C]0.673578[/C][C]0.652844[/C][C]0.326422[/C][/ROW]
[ROW][C]36[/C][C]0.63357[/C][C]0.732859[/C][C]0.36643[/C][/ROW]
[ROW][C]37[/C][C]0.597426[/C][C]0.805148[/C][C]0.402574[/C][/ROW]
[ROW][C]38[/C][C]0.558436[/C][C]0.883129[/C][C]0.441564[/C][/ROW]
[ROW][C]39[/C][C]0.518484[/C][C]0.963031[/C][C]0.481516[/C][/ROW]
[ROW][C]40[/C][C]0.590442[/C][C]0.819116[/C][C]0.409558[/C][/ROW]
[ROW][C]41[/C][C]0.560726[/C][C]0.878547[/C][C]0.439274[/C][/ROW]
[ROW][C]42[/C][C]0.516499[/C][C]0.967003[/C][C]0.483501[/C][/ROW]
[ROW][C]43[/C][C]0.47795[/C][C]0.9559[/C][C]0.52205[/C][/ROW]
[ROW][C]44[/C][C]0.457253[/C][C]0.914507[/C][C]0.542747[/C][/ROW]
[ROW][C]45[/C][C]0.463582[/C][C]0.927165[/C][C]0.536418[/C][/ROW]
[ROW][C]46[/C][C]0.559083[/C][C]0.881834[/C][C]0.440917[/C][/ROW]
[ROW][C]47[/C][C]0.552538[/C][C]0.894923[/C][C]0.447462[/C][/ROW]
[ROW][C]48[/C][C]0.509634[/C][C]0.980732[/C][C]0.490366[/C][/ROW]
[ROW][C]49[/C][C]0.484203[/C][C]0.968405[/C][C]0.515797[/C][/ROW]
[ROW][C]50[/C][C]0.468309[/C][C]0.936619[/C][C]0.531691[/C][/ROW]
[ROW][C]51[/C][C]0.426374[/C][C]0.852749[/C][C]0.573626[/C][/ROW]
[ROW][C]52[/C][C]0.407341[/C][C]0.814683[/C][C]0.592659[/C][/ROW]
[ROW][C]53[/C][C]0.364029[/C][C]0.728058[/C][C]0.635971[/C][/ROW]
[ROW][C]54[/C][C]0.344245[/C][C]0.688491[/C][C]0.655755[/C][/ROW]
[ROW][C]55[/C][C]0.308519[/C][C]0.617038[/C][C]0.691481[/C][/ROW]
[ROW][C]56[/C][C]0.271275[/C][C]0.542549[/C][C]0.728725[/C][/ROW]
[ROW][C]57[/C][C]0.278083[/C][C]0.556167[/C][C]0.721917[/C][/ROW]
[ROW][C]58[/C][C]0.312712[/C][C]0.625425[/C][C]0.687288[/C][/ROW]
[ROW][C]59[/C][C]0.288921[/C][C]0.577842[/C][C]0.711079[/C][/ROW]
[ROW][C]60[/C][C]0.268902[/C][C]0.537804[/C][C]0.731098[/C][/ROW]
[ROW][C]61[/C][C]0.235966[/C][C]0.471933[/C][C]0.764034[/C][/ROW]
[ROW][C]62[/C][C]0.270253[/C][C]0.540505[/C][C]0.729747[/C][/ROW]
[ROW][C]63[/C][C]0.322513[/C][C]0.645026[/C][C]0.677487[/C][/ROW]
[ROW][C]64[/C][C]0.300412[/C][C]0.600825[/C][C]0.699588[/C][/ROW]
[ROW][C]65[/C][C]0.371257[/C][C]0.742514[/C][C]0.628743[/C][/ROW]
[ROW][C]66[/C][C]0.357125[/C][C]0.71425[/C][C]0.642875[/C][/ROW]
[ROW][C]67[/C][C]0.409509[/C][C]0.819018[/C][C]0.590491[/C][/ROW]
[ROW][C]68[/C][C]0.382157[/C][C]0.764314[/C][C]0.617843[/C][/ROW]
[ROW][C]69[/C][C]0.391194[/C][C]0.782389[/C][C]0.608806[/C][/ROW]
[ROW][C]70[/C][C]0.433805[/C][C]0.86761[/C][C]0.566195[/C][/ROW]
[ROW][C]71[/C][C]0.458484[/C][C]0.916969[/C][C]0.541516[/C][/ROW]
[ROW][C]72[/C][C]0.468381[/C][C]0.936762[/C][C]0.531619[/C][/ROW]
[ROW][C]73[/C][C]0.506644[/C][C]0.986711[/C][C]0.493356[/C][/ROW]
[ROW][C]74[/C][C]0.483883[/C][C]0.967766[/C][C]0.516117[/C][/ROW]
[ROW][C]75[/C][C]0.488474[/C][C]0.976947[/C][C]0.511526[/C][/ROW]
[ROW][C]76[/C][C]0.47453[/C][C]0.949061[/C][C]0.52547[/C][/ROW]
[ROW][C]77[/C][C]0.503769[/C][C]0.992462[/C][C]0.496231[/C][/ROW]
[ROW][C]78[/C][C]0.479703[/C][C]0.959407[/C][C]0.520297[/C][/ROW]
[ROW][C]79[/C][C]0.50336[/C][C]0.99328[/C][C]0.49664[/C][/ROW]
[ROW][C]80[/C][C]0.483655[/C][C]0.967309[/C][C]0.516345[/C][/ROW]
[ROW][C]81[/C][C]0.461377[/C][C]0.922755[/C][C]0.538623[/C][/ROW]
[ROW][C]82[/C][C]0.51611[/C][C]0.967779[/C][C]0.48389[/C][/ROW]
[ROW][C]83[/C][C]0.49758[/C][C]0.99516[/C][C]0.50242[/C][/ROW]
[ROW][C]84[/C][C]0.5282[/C][C]0.9436[/C][C]0.4718[/C][/ROW]
[ROW][C]85[/C][C]0.527679[/C][C]0.944643[/C][C]0.472321[/C][/ROW]
[ROW][C]86[/C][C]0.493875[/C][C]0.98775[/C][C]0.506125[/C][/ROW]
[ROW][C]87[/C][C]0.501241[/C][C]0.997518[/C][C]0.498759[/C][/ROW]
[ROW][C]88[/C][C]0.475924[/C][C]0.951848[/C][C]0.524076[/C][/ROW]
[ROW][C]89[/C][C]0.491218[/C][C]0.982437[/C][C]0.508782[/C][/ROW]
[ROW][C]90[/C][C]0.536152[/C][C]0.927696[/C][C]0.463848[/C][/ROW]
[ROW][C]91[/C][C]0.512146[/C][C]0.975707[/C][C]0.487854[/C][/ROW]
[ROW][C]92[/C][C]0.513073[/C][C]0.973854[/C][C]0.486927[/C][/ROW]
[ROW][C]93[/C][C]0.495147[/C][C]0.990294[/C][C]0.504853[/C][/ROW]
[ROW][C]94[/C][C]0.517691[/C][C]0.964617[/C][C]0.482309[/C][/ROW]
[ROW][C]95[/C][C]0.556684[/C][C]0.886632[/C][C]0.443316[/C][/ROW]
[ROW][C]96[/C][C]0.570531[/C][C]0.858938[/C][C]0.429469[/C][/ROW]
[ROW][C]97[/C][C]0.562042[/C][C]0.875916[/C][C]0.437958[/C][/ROW]
[ROW][C]98[/C][C]0.550738[/C][C]0.898524[/C][C]0.449262[/C][/ROW]
[ROW][C]99[/C][C]0.518169[/C][C]0.963663[/C][C]0.481831[/C][/ROW]
[ROW][C]100[/C][C]0.503402[/C][C]0.993196[/C][C]0.496598[/C][/ROW]
[ROW][C]101[/C][C]0.485839[/C][C]0.971679[/C][C]0.514161[/C][/ROW]
[ROW][C]102[/C][C]0.459736[/C][C]0.919472[/C][C]0.540264[/C][/ROW]
[ROW][C]103[/C][C]0.468131[/C][C]0.936262[/C][C]0.531869[/C][/ROW]
[ROW][C]104[/C][C]0.523901[/C][C]0.952198[/C][C]0.476099[/C][/ROW]
[ROW][C]105[/C][C]0.532443[/C][C]0.935114[/C][C]0.467557[/C][/ROW]
[ROW][C]106[/C][C]0.532581[/C][C]0.934838[/C][C]0.467419[/C][/ROW]
[ROW][C]107[/C][C]0.530176[/C][C]0.939647[/C][C]0.469824[/C][/ROW]
[ROW][C]108[/C][C]0.505735[/C][C]0.988529[/C][C]0.494265[/C][/ROW]
[ROW][C]109[/C][C]0.477322[/C][C]0.954645[/C][C]0.522678[/C][/ROW]
[ROW][C]110[/C][C]0.47752[/C][C]0.95504[/C][C]0.52248[/C][/ROW]
[ROW][C]111[/C][C]0.474046[/C][C]0.948093[/C][C]0.525954[/C][/ROW]
[ROW][C]112[/C][C]0.475337[/C][C]0.950674[/C][C]0.524663[/C][/ROW]
[ROW][C]113[/C][C]0.493913[/C][C]0.987825[/C][C]0.506087[/C][/ROW]
[ROW][C]114[/C][C]0.464481[/C][C]0.928962[/C][C]0.535519[/C][/ROW]
[ROW][C]115[/C][C]0.430214[/C][C]0.860428[/C][C]0.569786[/C][/ROW]
[ROW][C]116[/C][C]0.397697[/C][C]0.795393[/C][C]0.602303[/C][/ROW]
[ROW][C]117[/C][C]0.36452[/C][C]0.72904[/C][C]0.63548[/C][/ROW]
[ROW][C]118[/C][C]0.395514[/C][C]0.791028[/C][C]0.604486[/C][/ROW]
[ROW][C]119[/C][C]0.405213[/C][C]0.810426[/C][C]0.594787[/C][/ROW]
[ROW][C]120[/C][C]0.404451[/C][C]0.808901[/C][C]0.595549[/C][/ROW]
[ROW][C]121[/C][C]0.517177[/C][C]0.965646[/C][C]0.482823[/C][/ROW]
[ROW][C]122[/C][C]0.519067[/C][C]0.961866[/C][C]0.480933[/C][/ROW]
[ROW][C]123[/C][C]0.528793[/C][C]0.942415[/C][C]0.471207[/C][/ROW]
[ROW][C]124[/C][C]0.526948[/C][C]0.946104[/C][C]0.473052[/C][/ROW]
[ROW][C]125[/C][C]0.535031[/C][C]0.929938[/C][C]0.464969[/C][/ROW]
[ROW][C]126[/C][C]0.540775[/C][C]0.91845[/C][C]0.459225[/C][/ROW]
[ROW][C]127[/C][C]0.561258[/C][C]0.877483[/C][C]0.438742[/C][/ROW]
[ROW][C]128[/C][C]0.563572[/C][C]0.872855[/C][C]0.436428[/C][/ROW]
[ROW][C]129[/C][C]0.573545[/C][C]0.852911[/C][C]0.426455[/C][/ROW]
[ROW][C]130[/C][C]0.556687[/C][C]0.886625[/C][C]0.443313[/C][/ROW]
[ROW][C]131[/C][C]0.528589[/C][C]0.942822[/C][C]0.471411[/C][/ROW]
[ROW][C]132[/C][C]0.49505[/C][C]0.9901[/C][C]0.50495[/C][/ROW]
[ROW][C]133[/C][C]0.520645[/C][C]0.958709[/C][C]0.479355[/C][/ROW]
[ROW][C]134[/C][C]0.534358[/C][C]0.931285[/C][C]0.465642[/C][/ROW]
[ROW][C]135[/C][C]0.536853[/C][C]0.926293[/C][C]0.463147[/C][/ROW]
[ROW][C]136[/C][C]0.502345[/C][C]0.99531[/C][C]0.497655[/C][/ROW]
[ROW][C]137[/C][C]0.53784[/C][C]0.92432[/C][C]0.46216[/C][/ROW]
[ROW][C]138[/C][C]0.50546[/C][C]0.98908[/C][C]0.49454[/C][/ROW]
[ROW][C]139[/C][C]0.505722[/C][C]0.988555[/C][C]0.494278[/C][/ROW]
[ROW][C]140[/C][C]0.518244[/C][C]0.963512[/C][C]0.481756[/C][/ROW]
[ROW][C]141[/C][C]0.498832[/C][C]0.997664[/C][C]0.501168[/C][/ROW]
[ROW][C]142[/C][C]0.470054[/C][C]0.940108[/C][C]0.529946[/C][/ROW]
[ROW][C]143[/C][C]0.444979[/C][C]0.889957[/C][C]0.555021[/C][/ROW]
[ROW][C]144[/C][C]0.496807[/C][C]0.993615[/C][C]0.503193[/C][/ROW]
[ROW][C]145[/C][C]0.476676[/C][C]0.953351[/C][C]0.523324[/C][/ROW]
[ROW][C]146[/C][C]0.546251[/C][C]0.907497[/C][C]0.453749[/C][/ROW]
[ROW][C]147[/C][C]0.549464[/C][C]0.901072[/C][C]0.450536[/C][/ROW]
[ROW][C]148[/C][C]0.588845[/C][C]0.82231[/C][C]0.411155[/C][/ROW]
[ROW][C]149[/C][C]0.611174[/C][C]0.777652[/C][C]0.388826[/C][/ROW]
[ROW][C]150[/C][C]0.612662[/C][C]0.774676[/C][C]0.387338[/C][/ROW]
[ROW][C]151[/C][C]0.580857[/C][C]0.838286[/C][C]0.419143[/C][/ROW]
[ROW][C]152[/C][C]0.586693[/C][C]0.826615[/C][C]0.413307[/C][/ROW]
[ROW][C]153[/C][C]0.555274[/C][C]0.889452[/C][C]0.444726[/C][/ROW]
[ROW][C]154[/C][C]0.582385[/C][C]0.83523[/C][C]0.417615[/C][/ROW]
[ROW][C]155[/C][C]0.582946[/C][C]0.834108[/C][C]0.417054[/C][/ROW]
[ROW][C]156[/C][C]0.549373[/C][C]0.901254[/C][C]0.450627[/C][/ROW]
[ROW][C]157[/C][C]0.531086[/C][C]0.937828[/C][C]0.468914[/C][/ROW]
[ROW][C]158[/C][C]0.498101[/C][C]0.996201[/C][C]0.501899[/C][/ROW]
[ROW][C]159[/C][C]0.51695[/C][C]0.966101[/C][C]0.48305[/C][/ROW]
[ROW][C]160[/C][C]0.523915[/C][C]0.95217[/C][C]0.476085[/C][/ROW]
[ROW][C]161[/C][C]0.546763[/C][C]0.906475[/C][C]0.453237[/C][/ROW]
[ROW][C]162[/C][C]0.564594[/C][C]0.870811[/C][C]0.435406[/C][/ROW]
[ROW][C]163[/C][C]0.603585[/C][C]0.792831[/C][C]0.396415[/C][/ROW]
[ROW][C]164[/C][C]0.595834[/C][C]0.808331[/C][C]0.404166[/C][/ROW]
[ROW][C]165[/C][C]0.562297[/C][C]0.875406[/C][C]0.437703[/C][/ROW]
[ROW][C]166[/C][C]0.638628[/C][C]0.722745[/C][C]0.361372[/C][/ROW]
[ROW][C]167[/C][C]0.606598[/C][C]0.786803[/C][C]0.393402[/C][/ROW]
[ROW][C]168[/C][C]0.631826[/C][C]0.736348[/C][C]0.368174[/C][/ROW]
[ROW][C]169[/C][C]0.598044[/C][C]0.803911[/C][C]0.401956[/C][/ROW]
[ROW][C]170[/C][C]0.607943[/C][C]0.784114[/C][C]0.392057[/C][/ROW]
[ROW][C]171[/C][C]0.629083[/C][C]0.741833[/C][C]0.370917[/C][/ROW]
[ROW][C]172[/C][C]0.600687[/C][C]0.798625[/C][C]0.399313[/C][/ROW]
[ROW][C]173[/C][C]0.601915[/C][C]0.796171[/C][C]0.398085[/C][/ROW]
[ROW][C]174[/C][C]0.599056[/C][C]0.801889[/C][C]0.400944[/C][/ROW]
[ROW][C]175[/C][C]0.565432[/C][C]0.869136[/C][C]0.434568[/C][/ROW]
[ROW][C]176[/C][C]0.531257[/C][C]0.937486[/C][C]0.468743[/C][/ROW]
[ROW][C]177[/C][C]0.545492[/C][C]0.909015[/C][C]0.454508[/C][/ROW]
[ROW][C]178[/C][C]0.52495[/C][C]0.950099[/C][C]0.47505[/C][/ROW]
[ROW][C]179[/C][C]0.519465[/C][C]0.961071[/C][C]0.480535[/C][/ROW]
[ROW][C]180[/C][C]0.498531[/C][C]0.997062[/C][C]0.501469[/C][/ROW]
[ROW][C]181[/C][C]0.483293[/C][C]0.966586[/C][C]0.516707[/C][/ROW]
[ROW][C]182[/C][C]0.520631[/C][C]0.958738[/C][C]0.479369[/C][/ROW]
[ROW][C]183[/C][C]0.518252[/C][C]0.963495[/C][C]0.481748[/C][/ROW]
[ROW][C]184[/C][C]0.509668[/C][C]0.980664[/C][C]0.490332[/C][/ROW]
[ROW][C]185[/C][C]0.498886[/C][C]0.997771[/C][C]0.501114[/C][/ROW]
[ROW][C]186[/C][C]0.464334[/C][C]0.928669[/C][C]0.535666[/C][/ROW]
[ROW][C]187[/C][C]0.450197[/C][C]0.900395[/C][C]0.549803[/C][/ROW]
[ROW][C]188[/C][C]0.437412[/C][C]0.874825[/C][C]0.562588[/C][/ROW]
[ROW][C]189[/C][C]0.426651[/C][C]0.853302[/C][C]0.573349[/C][/ROW]
[ROW][C]190[/C][C]0.41285[/C][C]0.825699[/C][C]0.58715[/C][/ROW]
[ROW][C]191[/C][C]0.441574[/C][C]0.883148[/C][C]0.558426[/C][/ROW]
[ROW][C]192[/C][C]0.431302[/C][C]0.862604[/C][C]0.568698[/C][/ROW]
[ROW][C]193[/C][C]0.431142[/C][C]0.862285[/C][C]0.568858[/C][/ROW]
[ROW][C]194[/C][C]0.417369[/C][C]0.834738[/C][C]0.582631[/C][/ROW]
[ROW][C]195[/C][C]0.400363[/C][C]0.800727[/C][C]0.599637[/C][/ROW]
[ROW][C]196[/C][C]0.371719[/C][C]0.743437[/C][C]0.628281[/C][/ROW]
[ROW][C]197[/C][C]0.339885[/C][C]0.67977[/C][C]0.660115[/C][/ROW]
[ROW][C]198[/C][C]0.361369[/C][C]0.722737[/C][C]0.638631[/C][/ROW]
[ROW][C]199[/C][C]0.342341[/C][C]0.684681[/C][C]0.657659[/C][/ROW]
[ROW][C]200[/C][C]0.32995[/C][C]0.6599[/C][C]0.67005[/C][/ROW]
[ROW][C]201[/C][C]0.345898[/C][C]0.691796[/C][C]0.654102[/C][/ROW]
[ROW][C]202[/C][C]0.359008[/C][C]0.718016[/C][C]0.640992[/C][/ROW]
[ROW][C]203[/C][C]0.396067[/C][C]0.792134[/C][C]0.603933[/C][/ROW]
[ROW][C]204[/C][C]0.424437[/C][C]0.848874[/C][C]0.575563[/C][/ROW]
[ROW][C]205[/C][C]0.424604[/C][C]0.849207[/C][C]0.575396[/C][/ROW]
[ROW][C]206[/C][C]0.464529[/C][C]0.929059[/C][C]0.535471[/C][/ROW]
[ROW][C]207[/C][C]0.452522[/C][C]0.905044[/C][C]0.547478[/C][/ROW]
[ROW][C]208[/C][C]0.470931[/C][C]0.941862[/C][C]0.529069[/C][/ROW]
[ROW][C]209[/C][C]0.51569[/C][C]0.96862[/C][C]0.48431[/C][/ROW]
[ROW][C]210[/C][C]0.49773[/C][C]0.995459[/C][C]0.50227[/C][/ROW]
[ROW][C]211[/C][C]0.496226[/C][C]0.992453[/C][C]0.503774[/C][/ROW]
[ROW][C]212[/C][C]0.456727[/C][C]0.913454[/C][C]0.543273[/C][/ROW]
[ROW][C]213[/C][C]0.446081[/C][C]0.892163[/C][C]0.553919[/C][/ROW]
[ROW][C]214[/C][C]0.514278[/C][C]0.971444[/C][C]0.485722[/C][/ROW]
[ROW][C]215[/C][C]0.500216[/C][C]0.999567[/C][C]0.499784[/C][/ROW]
[ROW][C]216[/C][C]0.479954[/C][C]0.959908[/C][C]0.520046[/C][/ROW]
[ROW][C]217[/C][C]0.493885[/C][C]0.98777[/C][C]0.506115[/C][/ROW]
[ROW][C]218[/C][C]0.486229[/C][C]0.972458[/C][C]0.513771[/C][/ROW]
[ROW][C]219[/C][C]0.443505[/C][C]0.88701[/C][C]0.556495[/C][/ROW]
[ROW][C]220[/C][C]0.417721[/C][C]0.835442[/C][C]0.582279[/C][/ROW]
[ROW][C]221[/C][C]0.393118[/C][C]0.786236[/C][C]0.606882[/C][/ROW]
[ROW][C]222[/C][C]0.417568[/C][C]0.835137[/C][C]0.582432[/C][/ROW]
[ROW][C]223[/C][C]0.427946[/C][C]0.855893[/C][C]0.572054[/C][/ROW]
[ROW][C]224[/C][C]0.38894[/C][C]0.77788[/C][C]0.61106[/C][/ROW]
[ROW][C]225[/C][C]0.395231[/C][C]0.790462[/C][C]0.604769[/C][/ROW]
[ROW][C]226[/C][C]0.410574[/C][C]0.821149[/C][C]0.589426[/C][/ROW]
[ROW][C]227[/C][C]0.389195[/C][C]0.778391[/C][C]0.610805[/C][/ROW]
[ROW][C]228[/C][C]0.369134[/C][C]0.738269[/C][C]0.630866[/C][/ROW]
[ROW][C]229[/C][C]0.344524[/C][C]0.689048[/C][C]0.655476[/C][/ROW]
[ROW][C]230[/C][C]0.324021[/C][C]0.648041[/C][C]0.675979[/C][/ROW]
[ROW][C]231[/C][C]0.307003[/C][C]0.614006[/C][C]0.692997[/C][/ROW]
[ROW][C]232[/C][C]0.325896[/C][C]0.651793[/C][C]0.674104[/C][/ROW]
[ROW][C]233[/C][C]0.38044[/C][C]0.760879[/C][C]0.61956[/C][/ROW]
[ROW][C]234[/C][C]0.362578[/C][C]0.725155[/C][C]0.637422[/C][/ROW]
[ROW][C]235[/C][C]0.397617[/C][C]0.795233[/C][C]0.602383[/C][/ROW]
[ROW][C]236[/C][C]0.387356[/C][C]0.774712[/C][C]0.612644[/C][/ROW]
[ROW][C]237[/C][C]0.448291[/C][C]0.896582[/C][C]0.551709[/C][/ROW]
[ROW][C]238[/C][C]0.419894[/C][C]0.839787[/C][C]0.580106[/C][/ROW]
[ROW][C]239[/C][C]0.396879[/C][C]0.793758[/C][C]0.603121[/C][/ROW]
[ROW][C]240[/C][C]0.407397[/C][C]0.814794[/C][C]0.592603[/C][/ROW]
[ROW][C]241[/C][C]0.384756[/C][C]0.769512[/C][C]0.615244[/C][/ROW]
[ROW][C]242[/C][C]0.405813[/C][C]0.811627[/C][C]0.594187[/C][/ROW]
[ROW][C]243[/C][C]0.382481[/C][C]0.764963[/C][C]0.617519[/C][/ROW]
[ROW][C]244[/C][C]0.454708[/C][C]0.909416[/C][C]0.545292[/C][/ROW]
[ROW][C]245[/C][C]0.61679[/C][C]0.766419[/C][C]0.38321[/C][/ROW]
[ROW][C]246[/C][C]0.597994[/C][C]0.804011[/C][C]0.402006[/C][/ROW]
[ROW][C]247[/C][C]0.58886[/C][C]0.822279[/C][C]0.41114[/C][/ROW]
[ROW][C]248[/C][C]0.544632[/C][C]0.910737[/C][C]0.455368[/C][/ROW]
[ROW][C]249[/C][C]0.525284[/C][C]0.949433[/C][C]0.474716[/C][/ROW]
[ROW][C]250[/C][C]0.56804[/C][C]0.86392[/C][C]0.43196[/C][/ROW]
[ROW][C]251[/C][C]0.713175[/C][C]0.57365[/C][C]0.286825[/C][/ROW]
[ROW][C]252[/C][C]0.712028[/C][C]0.575944[/C][C]0.287972[/C][/ROW]
[ROW][C]253[/C][C]0.67143[/C][C]0.657139[/C][C]0.32857[/C][/ROW]
[ROW][C]254[/C][C]0.659691[/C][C]0.680619[/C][C]0.340309[/C][/ROW]
[ROW][C]255[/C][C]0.660117[/C][C]0.679767[/C][C]0.339883[/C][/ROW]
[ROW][C]256[/C][C]0.601287[/C][C]0.797426[/C][C]0.398713[/C][/ROW]
[ROW][C]257[/C][C]0.533381[/C][C]0.933238[/C][C]0.466619[/C][/ROW]
[ROW][C]258[/C][C]0.53955[/C][C]0.9209[/C][C]0.46045[/C][/ROW]
[ROW][C]259[/C][C]0.63063[/C][C]0.738739[/C][C]0.36937[/C][/ROW]
[ROW][C]260[/C][C]0.561479[/C][C]0.877042[/C][C]0.438521[/C][/ROW]
[ROW][C]261[/C][C]0.732262[/C][C]0.535476[/C][C]0.267738[/C][/ROW]
[ROW][C]262[/C][C]0.672919[/C][C]0.654162[/C][C]0.327081[/C][/ROW]
[ROW][C]263[/C][C]0.591745[/C][C]0.816509[/C][C]0.408255[/C][/ROW]
[ROW][C]264[/C][C]0.497719[/C][C]0.995439[/C][C]0.502281[/C][/ROW]
[ROW][C]265[/C][C]0.889985[/C][C]0.22003[/C][C]0.110015[/C][/ROW]
[ROW][C]266[/C][C]0.825075[/C][C]0.349849[/C][C]0.174925[/C][/ROW]
[ROW][C]267[/C][C]0.785148[/C][C]0.429704[/C][C]0.214852[/C][/ROW]
[ROW][C]268[/C][C]0.719072[/C][C]0.561855[/C][C]0.280928[/C][/ROW]
[ROW][C]269[/C][C]0.596468[/C][C]0.807064[/C][C]0.403532[/C][/ROW]
[ROW][C]270[/C][C]0.469201[/C][C]0.938402[/C][C]0.530799[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265652&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265652&T=5

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


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

Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
90.1599840.3199690.840016
100.4712310.9424620.528769
110.4834470.9668940.516553
120.471280.9425610.52872
130.4033340.8066670.596666
140.4093370.8186730.590663
150.4603510.9207020.539649
160.416360.8327210.58364
170.3754610.7509220.624539
180.4176870.8353730.582313
190.3675890.7351780.632411
200.3355870.6711750.664413
210.5812380.8375240.418762
220.6001580.7996830.399842
230.5666330.8667340.433367
240.5795490.8409010.420451
250.521990.956020.47801
260.6208190.7583620.379181
270.5599350.8801290.440065
280.5399930.9200130.460007
290.6014060.7971870.398594
300.592140.815720.40786
310.5700770.8598450.429923
320.6815110.6369770.318489
330.6533310.6933390.346669
340.652830.694340.34717
350.6735780.6528440.326422
360.633570.7328590.36643
370.5974260.8051480.402574
380.5584360.8831290.441564
390.5184840.9630310.481516
400.5904420.8191160.409558
410.5607260.8785470.439274
420.5164990.9670030.483501
430.477950.95590.52205
440.4572530.9145070.542747
450.4635820.9271650.536418
460.5590830.8818340.440917
470.5525380.8949230.447462
480.5096340.9807320.490366
490.4842030.9684050.515797
500.4683090.9366190.531691
510.4263740.8527490.573626
520.4073410.8146830.592659
530.3640290.7280580.635971
540.3442450.6884910.655755
550.3085190.6170380.691481
560.2712750.5425490.728725
570.2780830.5561670.721917
580.3127120.6254250.687288
590.2889210.5778420.711079
600.2689020.5378040.731098
610.2359660.4719330.764034
620.2702530.5405050.729747
630.3225130.6450260.677487
640.3004120.6008250.699588
650.3712570.7425140.628743
660.3571250.714250.642875
670.4095090.8190180.590491
680.3821570.7643140.617843
690.3911940.7823890.608806
700.4338050.867610.566195
710.4584840.9169690.541516
720.4683810.9367620.531619
730.5066440.9867110.493356
740.4838830.9677660.516117
750.4884740.9769470.511526
760.474530.9490610.52547
770.5037690.9924620.496231
780.4797030.9594070.520297
790.503360.993280.49664
800.4836550.9673090.516345
810.4613770.9227550.538623
820.516110.9677790.48389
830.497580.995160.50242
840.52820.94360.4718
850.5276790.9446430.472321
860.4938750.987750.506125
870.5012410.9975180.498759
880.4759240.9518480.524076
890.4912180.9824370.508782
900.5361520.9276960.463848
910.5121460.9757070.487854
920.5130730.9738540.486927
930.4951470.9902940.504853
940.5176910.9646170.482309
950.5566840.8866320.443316
960.5705310.8589380.429469
970.5620420.8759160.437958
980.5507380.8985240.449262
990.5181690.9636630.481831
1000.5034020.9931960.496598
1010.4858390.9716790.514161
1020.4597360.9194720.540264
1030.4681310.9362620.531869
1040.5239010.9521980.476099
1050.5324430.9351140.467557
1060.5325810.9348380.467419
1070.5301760.9396470.469824
1080.5057350.9885290.494265
1090.4773220.9546450.522678
1100.477520.955040.52248
1110.4740460.9480930.525954
1120.4753370.9506740.524663
1130.4939130.9878250.506087
1140.4644810.9289620.535519
1150.4302140.8604280.569786
1160.3976970.7953930.602303
1170.364520.729040.63548
1180.3955140.7910280.604486
1190.4052130.8104260.594787
1200.4044510.8089010.595549
1210.5171770.9656460.482823
1220.5190670.9618660.480933
1230.5287930.9424150.471207
1240.5269480.9461040.473052
1250.5350310.9299380.464969
1260.5407750.918450.459225
1270.5612580.8774830.438742
1280.5635720.8728550.436428
1290.5735450.8529110.426455
1300.5566870.8866250.443313
1310.5285890.9428220.471411
1320.495050.99010.50495
1330.5206450.9587090.479355
1340.5343580.9312850.465642
1350.5368530.9262930.463147
1360.5023450.995310.497655
1370.537840.924320.46216
1380.505460.989080.49454
1390.5057220.9885550.494278
1400.5182440.9635120.481756
1410.4988320.9976640.501168
1420.4700540.9401080.529946
1430.4449790.8899570.555021
1440.4968070.9936150.503193
1450.4766760.9533510.523324
1460.5462510.9074970.453749
1470.5494640.9010720.450536
1480.5888450.822310.411155
1490.6111740.7776520.388826
1500.6126620.7746760.387338
1510.5808570.8382860.419143
1520.5866930.8266150.413307
1530.5552740.8894520.444726
1540.5823850.835230.417615
1550.5829460.8341080.417054
1560.5493730.9012540.450627
1570.5310860.9378280.468914
1580.4981010.9962010.501899
1590.516950.9661010.48305
1600.5239150.952170.476085
1610.5467630.9064750.453237
1620.5645940.8708110.435406
1630.6035850.7928310.396415
1640.5958340.8083310.404166
1650.5622970.8754060.437703
1660.6386280.7227450.361372
1670.6065980.7868030.393402
1680.6318260.7363480.368174
1690.5980440.8039110.401956
1700.6079430.7841140.392057
1710.6290830.7418330.370917
1720.6006870.7986250.399313
1730.6019150.7961710.398085
1740.5990560.8018890.400944
1750.5654320.8691360.434568
1760.5312570.9374860.468743
1770.5454920.9090150.454508
1780.524950.9500990.47505
1790.5194650.9610710.480535
1800.4985310.9970620.501469
1810.4832930.9665860.516707
1820.5206310.9587380.479369
1830.5182520.9634950.481748
1840.5096680.9806640.490332
1850.4988860.9977710.501114
1860.4643340.9286690.535666
1870.4501970.9003950.549803
1880.4374120.8748250.562588
1890.4266510.8533020.573349
1900.412850.8256990.58715
1910.4415740.8831480.558426
1920.4313020.8626040.568698
1930.4311420.8622850.568858
1940.4173690.8347380.582631
1950.4003630.8007270.599637
1960.3717190.7434370.628281
1970.3398850.679770.660115
1980.3613690.7227370.638631
1990.3423410.6846810.657659
2000.329950.65990.67005
2010.3458980.6917960.654102
2020.3590080.7180160.640992
2030.3960670.7921340.603933
2040.4244370.8488740.575563
2050.4246040.8492070.575396
2060.4645290.9290590.535471
2070.4525220.9050440.547478
2080.4709310.9418620.529069
2090.515690.968620.48431
2100.497730.9954590.50227
2110.4962260.9924530.503774
2120.4567270.9134540.543273
2130.4460810.8921630.553919
2140.5142780.9714440.485722
2150.5002160.9995670.499784
2160.4799540.9599080.520046
2170.4938850.987770.506115
2180.4862290.9724580.513771
2190.4435050.887010.556495
2200.4177210.8354420.582279
2210.3931180.7862360.606882
2220.4175680.8351370.582432
2230.4279460.8558930.572054
2240.388940.777880.61106
2250.3952310.7904620.604769
2260.4105740.8211490.589426
2270.3891950.7783910.610805
2280.3691340.7382690.630866
2290.3445240.6890480.655476
2300.3240210.6480410.675979
2310.3070030.6140060.692997
2320.3258960.6517930.674104
2330.380440.7608790.61956
2340.3625780.7251550.637422
2350.3976170.7952330.602383
2360.3873560.7747120.612644
2370.4482910.8965820.551709
2380.4198940.8397870.580106
2390.3968790.7937580.603121
2400.4073970.8147940.592603
2410.3847560.7695120.615244
2420.4058130.8116270.594187
2430.3824810.7649630.617519
2440.4547080.9094160.545292
2450.616790.7664190.38321
2460.5979940.8040110.402006
2470.588860.8222790.41114
2480.5446320.9107370.455368
2490.5252840.9494330.474716
2500.568040.863920.43196
2510.7131750.573650.286825
2520.7120280.5759440.287972
2530.671430.6571390.32857
2540.6596910.6806190.340309
2550.6601170.6797670.339883
2560.6012870.7974260.398713
2570.5333810.9332380.466619
2580.539550.92090.46045
2590.630630.7387390.36937
2600.5614790.8770420.438521
2610.7322620.5354760.267738
2620.6729190.6541620.327081
2630.5917450.8165090.408255
2640.4977190.9954390.502281
2650.8899850.220030.110015
2660.8250750.3498490.174925
2670.7851480.4297040.214852
2680.7190720.5618550.280928
2690.5964680.8070640.403532
2700.4692010.9384020.530799






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

\begin{tabular}{lllllllll}
\hline
Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
Description & # significant tests & % significant tests & OK/NOK \tabularnewline
1% type I error level & 0 & 0 & OK \tabularnewline
5% type I error level & 0 & 0 & OK \tabularnewline
10% type I error level & 0 & 0 & OK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265652&T=6

[TABLE]
[ROW][C]Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity[/C][/ROW]
[ROW][C]Description[/C][C]# significant tests[/C][C]% significant tests[/C][C]OK/NOK[/C][/ROW]
[ROW][C]1% type I error level[/C][C]0[/C][C]0[/C][C]OK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]0[/C][C]0[/C][C]OK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]0[/C][C]0[/C][C]OK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265652&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265652&T=6

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

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


Figures (Output of Computation)

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Input Parameters & R Code

Parameters (Session):
par1 = 6 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;
Parameters (R input):
par1 = 6 ; 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')
}