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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 computationTue, 09 Dec 2014 17:12:08 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Dec/09/t1418145154y1d3zjimozxy5b4.htm/, Retrieved Thu, 16 May 2024 21:09:10 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=264766, Retrieved Thu, 16 May 2024 21:09:10 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact69

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Multiple Regression] [] [2014-12-09 17:12:08] [ec71b09431fe59ba6fc828a3f51756a9] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
12.9 1.00 0.50 0.67 0.00 0.50
7.4 1.00 0.60 0.67 0.50 1.00
12.2 0.89 0.50 0.33 0.50 1.00
12.8 0.89 0.40 0.67 0.00 1.00
7.4 0.89 0.50 0.00 0.00 0.00
6.7 0.89 0.70 0.00 1.00 1.00
12.6 0.78 0.30 0.00 0.50 0.50
14.8 0.89 0.40 0.67 0.50 0.00
13.3 1.00 0.40 0.67 1.00 1.00
11.1 0.89 0.70 0.00 0.50 0.00
8.2 0.78 0.60 0.67 0.50 0.50
11.4 1.00 0.60 1.00 0.00 0.50
6.4 0.78 0.20 0.00 0.50 0.50
10.6 0.89 0.40 0.00 0.50 0.50
12.0 0.89 0.40 0.67 0.00 1.00
6.3 0.89 0.50 0.33 0.00 0.00
11.3 0.89 0.30 0.67 0.00 0.50
11.9 0.89 0.40 0.33 0.50 0.50
9.3 0.67 0.70 0.33 0.50 1.00
9.6 1.00 0.50 0.33 0.00 1.00
10.0 0.78 0.20 0.00 0.00 1.00
6.4 0.78 0.30 0.67 0.00 0.50
13.8 0.89 0.60 0.33 0.00 1.00
10.8 0.78 0.60 0.33 0.00 1.00
13.8 0.89 0.20 0.33 0.00 1.00
11.7 0.89 0.70 0.67 1.00 0.00
10.9 0.33 0.20 0.00 0.00 0.00
16.1 1.00 1.00 0.33 1.00 1.00
13.4 0.89 0.40 0.67 0.00 0.50
9.9 0.89 0.40 1.00 0.00 1.00
11.5 0.67 0.20 0.67 0.00 0.50
8.3 0.56 0.40 0.33 0.00 1.00
11.7 0.89 0.40 0.00 0.50 1.00
6.1 0.89 0.60 0.67 0.50 1.00
9.0 0.89 0.70 0.67 0.50 0.50
9.7 1.00 0.20 0.67 0.00 0.50
10.8 0.78 0.60 1.00 0.00 0.50
10.3 0.78 0.30 1.00 0.50 0.50
10.4 0.33 0.30 0.33 0.00 0.00
12.7 0.78 0.20 0.00 0.50 0.00
9.3 0.89 0.50 0.67 0.50 0.50
11.8 0.89 0.70 0.67 0.50 1.00
5.9 0.78 0.60 0.67 0.50 0.50
11.4 0.89 0.40 0.67 0.50 1.00
13.0 0.89 0.60 0.33 0.50 1.00
10.8 1.00 0.40 1.00 0.00 1.00
12.3 0.67 0.30 0.67 0.00 1.00
11.3 1.00 0.50 0.67 0.50 0.50
11.8 0.89 0.20 0.00 0.00 1.00
7.9 0.89 0.30 0.00 0.50 1.00
12.7 0.89 0.50 0.00 0.00 1.00
12.3 0.78 0.70 1.00 0.50 1.00
11.6 0.89 0.40 0.67 1.00 0.50
6.7 0.78 0.30 0.00 0.00 0.50
10.9 0.78 0.20 0.67 1.00 1.00
12.1 1.00 0.50 0.00 0.00 0.50
13.3 0.78 0.40 0.00 0.50 0.00
10.1 1.00 0.60 0.67 1.00 1.00
5.7 0.78 0.40 1.00 0.00 1.00
14.3 0.67 0.40 0.00 0.00 0.50
8.0 0.33 0.20 0.33 0.00 0.00
13.3 1.00 0.90 0.67 0.50 1.00
9.3 1.00 0.80 0.67 1.00 0.50
12.5 0.78 0.80 0.00 0.50 1.00
7.6 0.67 0.30 1.00 0.50 1.00
15.9 1.00 0.20 0.67 0.00 0.50
9.2 0.89 0.40 0.00 0.50 1.00
9.1 0.89 0.20 1.00 0.00 1.00
11.1 0.78 0.20 0.67 0.50 1.00
13.0 1.00 0.10 0.67 0.00 1.00
14.5 0.56 0.40 1.00 0.50 0.00
12.2 0.67 0.50 0.00 0.50 0.50
12.3 0.89 0.80 0.33 0.50 1.00
11.4 0.89 0.40 0.67 0.00 0.50
8.8 0.89 0.60 0.33 0.50 0.50
14.6 0.89 0.50 0.67 0.50 1.00
7.3 1.00 0.60 0.67 0.50 1.00
12.6 0.78 0.30 0.00 0.00 0.00
NA 0.89 0.80 1.00 0.50 1.00
13.0 1.00 0.40 0.00 0.50 0.00
12.6 1.00 0.60 0.67 0.50 0.50
13.2 0.89 0.40 0.33 0.00 0.50
9.9 0.44 0.30 0.00 0.00 0.00
7.7 0.78 0.80 0.00 1.00 1.00
10.5 0.89 0.60 0.33 1.00 1.00
13.4 0.67 0.30 0.00 0.00 0.00
10.9 0.78 0.50 0.67 0.50 1.00
4.3 0.78 0.40 0.33 0.00 1.00
10.3 0.33 0.30 0.67 0.00 0.00
11.8 0.89 0.70 0.33 0.00 0.50
11.2 0.89 0.20 0.33 0.50 0.50
11.4 0.89 0.40 1.00 0.00 1.00
8.6 0.89 0.60 0.67 0.50 0.50
13.2 0.56 0.60 0.00 0.00 1.00
12.6 0.67 0.60 0.67 0.50 0.50
5.6 0.67 0.40 0.33 0.50 1.00
9.9 0.78 0.60 0.00 0.00 1.00
8.8 0.78 0.50 0.33 0.50 1.00
7.7 0.78 0.50 0.00 0.00 1.00
9.0 0.89 0.60 0.00 0.00 1.00
7.3 1.00 0.80 0.33 0.50 1.00
11.4 0.89 0.50 0.67 1.00 0.50
13.6 0.89 0.60 0.67 0.50 1.00
7.9 0.78 0.40 0.67 0.50 1.00
10.7 1.00 0.30 0.67 0.50 1.00
10.3 0.78 0.30 1.00 0.00 0.50
8.3 0.67 0.20 0.00 0.00 0.00
9.6 0.78 0.40 0.00 0.00 0.50
14.2 0.89 0.50 0.00 0.00 0.50
8.5 0.67 0.30 0.00 0.50 0.00
13.5 0.22 0.40 0.00 0.50 0.00
4.9 0.44 0.50 1.00 0.00 0.00
6.4 0.89 0.30 0.67 0.00 1.00
9.6 0.67 0.50 0.00 0.00 0.50
11.6 0.89 0.40 0.67 0.00 0.50
11.1 0.67 0.40 0.67 0.00 1.00
4.35 0.78 0.60 0.00 1.00 1.00
12.7 0.78 0.30 0.67 1.00 1.00
18.1 0.78 0.40 0.33 1.00 0.50
17.85 1.00 0.30 1.00 1.00 1.00
16.6 0.78 1.00 1.00 1.00 1.00
12.6 0.67 0.40 0.00 0.00 0.50
17.1 0.89 0.80 1.00 0.50 1.00
19.1 0.89 0.30 0.67 1.00 1.00
16.1 1.00 0.50 0.67 0.00 1.00
13.35 0.78 0.40 0.00 0.00 0.50
18.4 0.67 0.30 0.67 0.00 1.00
14.7 0.89 0.50 1.00 0.00 1.00
10.6 0.67 0.30 0.67 0.00 1.00
12.6 0.67 0.30 0.00 0.00 1.00
16.2 1.00 0.40 0.00 0.00 1.00
13.6 0.67 0.30 0.00 0.00 0.50
18.9 1.00 0.60 0.33 0.50 0.50
14.1 0.89 0.60 0.67 1.00 1.00
14.5 0.89 0.40 1.00 1.00 1.00
16.15 1.00 0.40 0.00 0.00 0.00
14.75 0.67 0.40 0.67 0.00 0.50
14.8 0.44 0.30 0.67 0.50 1.00
12.45 0.89 0.20 0.33 1.00 0.00
12.65 0.56 0.50 0.67 0.00 1.00
17.35 0.78 0.40 0.67 1.00 1.00
8.6 1.00 0.40 0.67 0.00 0.00
18.4 1.00 0.40 0.67 0.00 1.00
16.1 0.89 0.30 0.67 0.50 0.50
11.6 0.67 0.40 0.67 1.00 0.50
17.75 0.89 0.20 0.33 0.50 1.00
15.25 0.33 0.00 0.00 0.00 0.00
17.65 0.89 0.40 0.67 0.50 1.00
15.6 0.78 0.30 0.00 0.00 0.00
16.35 0.78 0.60 0.00 1.00 1.00
17.65 1.00 0.40 0.67 0.00 0.50
13.6 0.44 0.40 0.00 0.00 0.50
11.7 0.78 0.20 0.00 0.00 0.00
14.35 0.67 0.40 0.00 0.50 0.00
14.75 0.33 0.20 0.00 0.50 0.00
18.25 0.89 0.40 1.00 1.00 1.00
9.9 0.89 0.30 0.00 0.00 0.50
16 1.00 0.60 0.67 1.00 0.00
18.25 0.89 0.60 1.00 0.00 1.00
16.85 0.89 0.40 0.00 0.00 1.00
14.6 1.00 0.50 0.67 1.00 0.50
13.85 0.89 0.40 0.00 0.50 1.00
18.95 1.00 0.60 1.00 1.00 1.00
15.6 0.78 0.60 0.67 0.50 1.00
14.85 0.78 0.90 0.67 0.50 1.00
11.75 0.67 0.40 0.67 0.50 0.00
18.45 0.89 0.80 1.00 0.50 1.00
15.9 0.67 0.50 1.00 0.00 1.00
17.1 0.78 0.40 1.00 0.00 0.00
16.1 0.89 0.40 0.67 1.00 0.50
19.9 0.89 0.70 1.00 1.00 0.50
10.95 0.78 0.40 0.33 1.00 1.00
18.45 1.00 0.80 0.67 0.50 1.00
15.1 1.00 0.40 1.00 1.00 0.50
15 1.00 0.30 0.67 0.00 0.50
11.35 0.67 0.50 0.67 0.50 1.00
15.95 0.89 0.80 0.67 1.00 1.00
18.1 1.00 0.40 0.33 0.00 0.50
14.6 1.00 1.00 1.00 0.50 0.00
15.4 0.89 0.50 0.67 1.00 1.00
15.4 0.89 0.50 0.67 1.00 1.00
17.6 0.89 0.30 0.33 0.00 1.00
13.35 0.89 0.30 0.33 0.50 1.00
19.1 0.89 0.30 0.00 0.00 1.00
15.35 1.00 0.40 0.33 0.50 0.50
7.6 0.67 0.50 0.33 0.00 1.00
13.4 1.00 0.50 0.67 0.50 1.00
13.9 0.89 0.40 0.00 0.00 0.00
19.1 0.89 0.70 1.00 0.50 0.00
15.25 0.89 0.50 0.33 0.00 0.50
12.9 0.89 0.40 0.33 1.00 0.00
16.1 1.00 0.70 1.00 0.00 1.00
17.35 1.00 0.70 1.00 0.00 1.00
13.15 1.00 0.70 1.00 0.00 1.00
12.15 0.89 0.70 1.00 0.00 1.00
12.6 0.89 0.70 0.00 0.00 0.00
10.35 0.89 0.70 0.67 0.50 1.00
15.4 0.33 0.10 0.33 0.50 0.00
9.6 0.67 0.20 0.67 0.50 1.00
18.2 0.56 0.30 0.33 0.00 1.00
13.6 0.44 0.60 0.33 0.00 0.50
14.85 1.00 0.80 1.00 1.00 1.00
14.75 0.89 0.80 0.33 0.50 0.50
14.1 0.33 0.00 0.00 0.00 0.00
14.9 0.67 0.30 0.33 0.00 1.00
16.25 0.67 0.60 0.33 0.50 1.00
19.25 1.00 0.50 0.67 0.00 1.00
13.6 0.78 0.70 0.33 0.00 0.50
13.6 0.67 0.30 0.00 0.50 1.00
15.65 1.00 0.30 0.67 0.00 0.00
12.75 0.78 0.40 0.67 0.00 0.50
14.6 0.89 0.40 1.00 0.00 1.00
9.85 0.89 0.10 0.00 0.00 1.00
12.65 0.89 0.50 0.67 0.00 1.00
11.9 0.78 0.30 0.33 0.00 0.50
19.2 0.00 0.00 0.00 0.00 0.00
16.6 0.67 0.40 0.33 0.50 0.00
11.2 1.00 0.60 0.67 1.00 0.50
15.25 1.00 0.40 0.33 0.50 1.00
11.9 0.67 0.10 0.00 0.50 1.00
13.2 0.89 0.30 0.00 0.00 1.00
16.35 0.89 0.70 0.67 0.00 1.00
12.4 0.56 0.30 0.00 0.00 1.00
15.85 0.67 0.50 0.33 0.50 0.00
14.35 0.67 0.30 0.33 0.00 0.00
18.15 1.00 0.30 0.67 1.00 1.00
11.15 1.00 0.60 0.67 0.50 1.00
15.65 1.00 0.90 1.00 0.00 1.00
17.75 0.67 0.40 0.00 0.50 1.00
7.65 0.44 0.30 0.00 0.50 0.50
12.35 0.89 0.90 0.67 1.00 1.00
15.6 0.44 0.50 0.00 0.50 0.00
19.3 0.56 0.30 1.00 0.50 0.50
15.2 0.89 0.60 0.67 0.00 0.50
17.1 0.67 0.20 0.33 0.00 0.50
15.6 0.89 0.40 1.00 0.50 1.00
18.4 1.00 0.50 0.67 0.50 0.50
19.05 0.78 0.40 0.67 0.00 0.50
18.55 0.44 0.00 0.00 0.00 0.00
19.1 0.89 0.20 0.33 0.50 1.00
13.1 0.89 0.50 0.67 0.50 1.00
12.85 0.89 0.30 0.67 0.00 0.50
9.5 0.44 0.00 0.00 0.00 0.00
4.5 1.00 0.50 1.00 0.00 1.00
11.85 0.89 0.60 0.33 0.00 1.00
13.6 0.67 0.30 0.00 0.50 0.50
11.7 0.33 0.00 0.00 0.00 0.00
12.4 0.78 0.30 0.00 0.50 0.00
13.35 0.89 0.50 0.67 0.50 1.00
11.4 0.78 0.40 0.00 0.00 1.00
14.9 0.78 0.50 0.67 0.00 0.50
19.9 0.89 0.70 1.00 1.00 0.50
17.75 0.89 0.40 1.00 0.50 1.00
11.2 0.78 0.80 0.67 0.50 1.00
14.6 0.78 0.60 0.33 0.50 1.00
17.6 0.67 0.40 0.33 0.00 0.50
14.05 0.89 0.50 0.33 0.50 0.00
16.1 0.89 0.50 0.00 0.50 1.00
13.35 0.78 0.30 0.33 0.00 1.00
11.85 1.00 0.60 0.00 0.50 1.00
11.95 1.00 0.30 0.67 0.00 0.50
14.75 0.78 0.60 1.00 0.50 0.50
15.15 0.78 0.30 0.33 0.00 1.00
13.2 0.89 0.70 0.67 1.00 1.00
16.85 0.89 0.70 1.00 0.00 1.00
7.85 0.67 0.60 1.00 0.50 1.00
7.7 1.00 0.50 0.33 0.50 0.00
12.6 0.67 0.50 0.33 0.00 0.50
7.85 0.56 0.40 0.00 0.00 1.00
10.95 0.78 0.40 0.33 1.00 1.00
12.35 1.00 0.70 1.00 0.00 1.00
9.95 0.67 0.20 0.00 0.50 0.00
14.9 0.78 0.50 0.67 0.00 0.50
16.65 0.56 0.40 0.67 0.50 0.00
13.4 1.00 0.20 0.67 1.00 1.00
13.95 0.89 0.50 0.67 0.00 0.00
15.7 0.44 0.40 0.00 0.00 1.00
16.85 1.00 0.70 1.00 1.00 1.00
10.95 0.89 0.60 0.67 1.00 0.00
15.35 0.78 0.40 0.00 0.00 0.00
12.2 0.89 0.50 0.67 1.00 1.00
15.1 0.11 0.00 0.00 0.00 0.00
17.75 0.89 0.70 0.67 0.50 1.00
15.2 0.89 0.40 0.67 0.00 1.00
14.6 1.00 0.50 1.00 0.00 1.00
16.65 0.89 0.60 0.67 0.00 0.50
8.1 1.00 0.80 0.67 0.50 0.50

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time9 seconds
R Server'George Udny Yule' @ yule.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 9 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=264766&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]9 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=264766&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=264766&T=0

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


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time9 seconds
R Server'George Udny Yule' @ yule.wessa.net






Multiple Linear Regression - Estimated Regression Equation
TOT[t] = + 12.2271 + 0.487034Calculation[t] -0.884345Algebraic_Reasoning[t] + 1.61497Proportionality_and_Ratio[t] + 0.574909Probability_and_Sampling[t] -0.369422Estimation[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
TOT[t] =  +  12.2271 +  0.487034Calculation[t] -0.884345Algebraic_Reasoning[t] +  1.61497Proportionality_and_Ratio[t] +  0.574909Probability_and_Sampling[t] -0.369422Estimation[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=264766&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]TOT[t] =  +  12.2271 +  0.487034Calculation[t] -0.884345Algebraic_Reasoning[t] +  1.61497Proportionality_and_Ratio[t] +  0.574909Probability_and_Sampling[t] -0.369422Estimation[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=264766&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=264766&T=1

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


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

Multiple Linear Regression - Estimated Regression Equation
TOT[t] = + 12.2271 + 0.487034Calculation[t] -0.884345Algebraic_Reasoning[t] + 1.61497Proportionality_and_Ratio[t] + 0.574909Probability_and_Sampling[t] -0.369422Estimation[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)12.22710.94143812.991.65582e-308.27909e-31
Calculation0.4870341.326390.36720.7137560.356878
Algebraic_Reasoning-0.8843451.2213-0.72410.4696070.234803
Proportionality_and_Ratio1.614970.6326392.5530.01121820.00560911
Probability_and_Sampling0.5749090.5775970.99530.3204270.160214
Estimation-0.3694220.557033-0.66320.5077510.253876

\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) & 12.2271 & 0.941438 & 12.99 & 1.65582e-30 & 8.27909e-31 \tabularnewline
Calculation & 0.487034 & 1.32639 & 0.3672 & 0.713756 & 0.356878 \tabularnewline
Algebraic_Reasoning & -0.884345 & 1.2213 & -0.7241 & 0.469607 & 0.234803 \tabularnewline
Proportionality_and_Ratio & 1.61497 & 0.632639 & 2.553 & 0.0112182 & 0.00560911 \tabularnewline
Probability_and_Sampling & 0.574909 & 0.577597 & 0.9953 & 0.320427 & 0.160214 \tabularnewline
Estimation & -0.369422 & 0.557033 & -0.6632 & 0.507751 & 0.253876 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=264766&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]12.2271[/C][C]0.941438[/C][C]12.99[/C][C]1.65582e-30[/C][C]8.27909e-31[/C][/ROW]
[ROW][C]Calculation[/C][C]0.487034[/C][C]1.32639[/C][C]0.3672[/C][C]0.713756[/C][C]0.356878[/C][/ROW]
[ROW][C]Algebraic_Reasoning[/C][C]-0.884345[/C][C]1.2213[/C][C]-0.7241[/C][C]0.469607[/C][C]0.234803[/C][/ROW]
[ROW][C]Proportionality_and_Ratio[/C][C]1.61497[/C][C]0.632639[/C][C]2.553[/C][C]0.0112182[/C][C]0.00560911[/C][/ROW]
[ROW][C]Probability_and_Sampling[/C][C]0.574909[/C][C]0.577597[/C][C]0.9953[/C][C]0.320427[/C][C]0.160214[/C][/ROW]
[ROW][C]Estimation[/C][C]-0.369422[/C][C]0.557033[/C][C]-0.6632[/C][C]0.507751[/C][C]0.253876[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=264766&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=264766&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)12.22710.94143812.991.65582e-308.27909e-31
Calculation0.4870341.326390.36720.7137560.356878
Algebraic_Reasoning-0.8843451.2213-0.72410.4696070.234803
Proportionality_and_Ratio1.614970.6326392.5530.01121820.00560911
Probability_and_Sampling0.5749090.5775970.99530.3204270.160214
Estimation-0.3694220.557033-0.66320.5077510.253876






Multiple Linear Regression - Regression Statistics
Multiple R0.177774
R-squared0.0316038
Adjusted R-squared0.014311
F-TEST (value)1.82757
F-TEST (DF numerator)5
F-TEST (DF denominator)280
p-value0.107485
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation3.3967
Sum Squared Residuals3230.51

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.177774 \tabularnewline
R-squared & 0.0316038 \tabularnewline
Adjusted R-squared & 0.014311 \tabularnewline
F-TEST (value) & 1.82757 \tabularnewline
F-TEST (DF numerator) & 5 \tabularnewline
F-TEST (DF denominator) & 280 \tabularnewline
p-value & 0.107485 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 3.3967 \tabularnewline
Sum Squared Residuals & 3230.51 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=264766&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.177774[/C][/ROW]
[ROW][C]R-squared[/C][C]0.0316038[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.014311[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]1.82757[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]5[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]280[/C][/ROW]
[ROW][C]p-value[/C][C]0.107485[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]3.3967[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]3230.51[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=264766&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=264766&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 R0.177774
R-squared0.0316038
Adjusted R-squared0.014311
F-TEST (value)1.82757
F-TEST (DF numerator)5
F-TEST (DF denominator)280
p-value0.107485
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation3.3967
Sum Squared Residuals3230.51






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
112.913.1692-0.269248
27.413.1836-5.78356
312.212.6693-0.469327
412.813.0194-0.219398
57.412.2184-4.81835
66.712.247-5.54697
712.612.44440.155607
814.813.67631.12373
913.313.6479-0.34788
1011.112.3289-1.22894
118.213.2611-5.06112
1211.413.6138-2.21375
136.412.5328-6.13283
1410.612.4095-1.80953
151213.0194-1.0194
166.312.7513-6.45129
1711.313.2925-1.99254
1811.912.9425-1.04247
199.312.3853-3.08531
209.612.4354-2.83545
211012.0607-2.06066
226.413.239-6.83897
2313.812.29341.50656
2410.812.2399-1.43986
2513.812.64721.15282
2611.713.6984-1.99842
2710.912.2109-1.31092
2816.112.56823.53182
2913.413.20410.195891
309.913.5523-3.65234
3111.513.2738-1.77383
328.312.3096-4.00959
3311.712.2248-0.524821
346.113.13-7.02998
35913.2263-4.22626
369.713.4346-3.73455
3710.813.5066-2.70661
3810.314.0594-3.75936
3910.412.6554-2.25542
4012.712.7175-0.0175381
419.313.4031-4.10313
4211.813.0415-1.24155
435.913.2611-7.36112
4411.413.3069-1.90685
451312.58090.419107
4610.813.6059-2.80591
4712.313.0007-0.700685
4811.313.4567-2.1567
4911.812.1142-0.314236
507.912.3133-4.41326
5112.711.84890.851068
5212.313.5209-1.22092
5311.613.779-2.17902
546.712.1569-5.45694
5510.913.7176-2.8176
5612.112.08720.0127832
5713.312.54070.759331
5810.113.471-3.37101
595.713.4988-7.79877
6014.312.01492.28507
61812.7439-4.74386
6213.312.91830.381747
639.313.4789-4.17885
6412.511.81750.682491
657.613.8211-6.22108
6615.913.43462.46545
679.212.2248-3.02482
689.113.7292-4.62921
6911.113.4301-2.33015
701313.3383-0.338276
7114.514.04850.451506
7212.212.2139-0.0139499
7312.312.404-0.104024
7411.413.2041-1.80411
758.812.7656-3.9656
7614.613.21841.38158
777.313.1836-5.88356
7812.612.34160.258351
79NANA0.352184
801313.7683-0.768268
8112.612.0550.544982
8213.215.4761-2.27606
839.914.305-4.40496
847.710.0683-2.36835
8510.59.388081.11192
8613.415.6648-2.26484
8710.919.0167-8.11673
884.37.20452-2.90452
8910.310.8897-0.589715
9011.813.7193-1.91934
9111.213.3523-2.15234
9211.416.1147-4.71469
938.66.999781.60022
9413.213.8075-0.607547
9512.619.6506-7.05061
965.67.40692-1.80692
979.913.7158-3.81575
988.812.8954-4.09536
997.710.4605-2.7605
100914.1576-5.1576
1017.39.59058-2.29058
10211.410.930.470017
10313.618.9533-5.35328
1047.910.6489-2.74886
10510.714.1719-3.47191
10610.314.3765-4.07651
1078.310.7685-2.4685
1089.67.433642.16636
10914.218.2755-4.07553
1108.57.267931.23207
11113.522.2142-8.71416
1124.911.6078-6.70783
1136.48.7265-2.3265
1149.611.2041-1.60411
11511.613.4123-1.81225
11611.119.0318-7.93183
1174.355.27917-0.929168
11812.77.776354.92365
11918.114.51933.58074
12017.8514.79313.05693
12116.616.01490.58507
12212.68.986063.61394
12317.111.68275.41726
12419.115.98453.11546
12516.114.81851.2815
12613.357.950695.39931
12718.417.16391.2361
12814.717.1007-2.40069
12910.69.918650.681346
13012.68.390944.20906
13116.214.70341.49664
13213.67.519186.08082
13318.918.21740.682562
13414.113.72720.372752
13514.510.71043.78964
13616.1514.4971.65304
13714.7513.12611.62388
13814.815.9415-1.14151
13912.4512.5702-0.120242
14012.658.840733.80927
14117.3522.1924-4.84239
1428.63.272975.32703
14318.415.882.52
14416.118.1719-2.07187
14511.66.784634.81537
14617.7514.88782.86221
14715.2510.90694.34315
14817.6514.39163.25835
14915.611.53184.06817
15016.3511.95774.39232
15117.6515.95291.69709
15213.614.3301-0.730084
15311.79.83711.8629
15414.3512.09842.25163
15514.7510.62724.12275
15618.2520.5605-2.31051
1579.97.740432.15957
1581611.12554.87453
15918.2513.33744.91263
16016.8515.99420.855843
16114.612.97481.62518
16213.858.903954.94605
16318.9516.42642.52359
16415.613.56112.03889
16514.8516.6691-1.81913
16611.756.786064.96394
16718.4515.90682.54324
16815.912.66823.23181
16917.114.7792.32098
17016.110.24675.85335
17119.921.9416-2.04164
17210.955.506695.44331
17318.4517.71550.734468
17415.113.44611.65388
1751516.7613-1.76127
17611.358.640572.70943
17715.9510.55865.39141
17818.117.23220.867819
17914.612.70591.89413
18015.413.50591.89413
18115.410.35875.04126
18217.617.09620.503804
18313.356.27587.0742
18419.116.7462.35395
18515.3520.0247-4.67473
1867.67.471990.128008
18713.411.80681.59321
18813.98.743915.15609
18919.116.41662.68342
19015.2515.7646-0.514638
19112.910.14062.75939
19216.112.09064.00939
19317.3517.5406-0.190609
19413.1514.287-1.13704
19512.1511.59150.558515
19612.615.2915-2.69155
19710.358.069752.28025
19815.419.1766-3.77657
1999.63.798025.80198
20018.216.8591.34102
20113.612.57711.02292
20214.8512.68872.16127
20314.7513.03781.71221
20414.111.65162.44841
20514.911.12373.77625
20616.259.984546.26546
20719.2517.98611.26386
20813.612.20611.39389
20913.611.48082.11917
21015.6516.0505-0.400535
21112.7511.70231.04766
21214.616.9527-2.35267
2139.8510.131-0.280964
21412.6513.4399-0.789879
21511.94.927076.97293
21619.215.623.57996
21716.619.0557-2.45572
21811.28.761342.43866
21915.2515.733-0.482977
22011.910.72581.1742
22113.29.604093.59591
22216.3515.81510.53492
22312.49.48162.9184
22415.8514.3211.52898
22514.359.936324.41368
22618.1520.1836-2.03356
22711.158.663742.48626
22815.6510.01775.63233
22917.7522.3788-4.6288
2307.658.45213-0.802134
23112.359.036643.31336
23215.610.25225.34778
23319.317.12722.17276
23415.210.82474.37526
23517.115.33981.76021
23615.610.65674.9433
23718.412.50055.89946
23819.0512.94146.10864
23918.5512.38466.16537
24019.119.2184-0.118418
24113.113.5425-0.442543
24212.8515.7914-2.94136
2439.518.5175-9.01748
2444.54.94344-0.443439
24511.8510.64081.20918
24613.614.2878-0.687788
24711.711.9291-0.229104
24812.412.26840.131582
24913.3513.8338-0.483793
25011.49.56211.8379
25114.99.046655.85335
25219.915.98983.91021
25317.7519.4495-1.69954
25411.29.127322.07268
25514.69.547875.05213
25617.616.58871.01125
25714.0510.08643.96361
25816.115.25520.844832
25913.3513.6015-0.251526
26011.8513.2461-1.39612
26111.9510.99410.955939
26214.7512.10522.64483
26315.1515.279-0.129003
26413.29.637043.56296
26516.8522.5558-5.70578
2667.8513.2423-5.39232
2677.77.559440.140564
26812.616.5266-3.92665
2697.859.89164-2.04164
27010.9511.9406-0.990609
27112.3515.064-2.71396
2729.958.11211.8379
27314.911.76563.13445
27416.6517.0747-0.42475
27513.412.75040.649615
27613.959.96823.9818
27715.712.76552.93448
27816.8519.6869-2.83686
27910.957.853213.09679
28015.3516.6559-1.30587
28112.29.380642.81936
28215.110.39154.70845
28317.7515.56942.1806
28415.214.11751.08252
28514.610.97723.62276
28616.6521.7414-5.0914
2878.1NANA

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 12.9 & 13.1692 & -0.269248 \tabularnewline
2 & 7.4 & 13.1836 & -5.78356 \tabularnewline
3 & 12.2 & 12.6693 & -0.469327 \tabularnewline
4 & 12.8 & 13.0194 & -0.219398 \tabularnewline
5 & 7.4 & 12.2184 & -4.81835 \tabularnewline
6 & 6.7 & 12.247 & -5.54697 \tabularnewline
7 & 12.6 & 12.4444 & 0.155607 \tabularnewline
8 & 14.8 & 13.6763 & 1.12373 \tabularnewline
9 & 13.3 & 13.6479 & -0.34788 \tabularnewline
10 & 11.1 & 12.3289 & -1.22894 \tabularnewline
11 & 8.2 & 13.2611 & -5.06112 \tabularnewline
12 & 11.4 & 13.6138 & -2.21375 \tabularnewline
13 & 6.4 & 12.5328 & -6.13283 \tabularnewline
14 & 10.6 & 12.4095 & -1.80953 \tabularnewline
15 & 12 & 13.0194 & -1.0194 \tabularnewline
16 & 6.3 & 12.7513 & -6.45129 \tabularnewline
17 & 11.3 & 13.2925 & -1.99254 \tabularnewline
18 & 11.9 & 12.9425 & -1.04247 \tabularnewline
19 & 9.3 & 12.3853 & -3.08531 \tabularnewline
20 & 9.6 & 12.4354 & -2.83545 \tabularnewline
21 & 10 & 12.0607 & -2.06066 \tabularnewline
22 & 6.4 & 13.239 & -6.83897 \tabularnewline
23 & 13.8 & 12.2934 & 1.50656 \tabularnewline
24 & 10.8 & 12.2399 & -1.43986 \tabularnewline
25 & 13.8 & 12.6472 & 1.15282 \tabularnewline
26 & 11.7 & 13.6984 & -1.99842 \tabularnewline
27 & 10.9 & 12.2109 & -1.31092 \tabularnewline
28 & 16.1 & 12.5682 & 3.53182 \tabularnewline
29 & 13.4 & 13.2041 & 0.195891 \tabularnewline
30 & 9.9 & 13.5523 & -3.65234 \tabularnewline
31 & 11.5 & 13.2738 & -1.77383 \tabularnewline
32 & 8.3 & 12.3096 & -4.00959 \tabularnewline
33 & 11.7 & 12.2248 & -0.524821 \tabularnewline
34 & 6.1 & 13.13 & -7.02998 \tabularnewline
35 & 9 & 13.2263 & -4.22626 \tabularnewline
36 & 9.7 & 13.4346 & -3.73455 \tabularnewline
37 & 10.8 & 13.5066 & -2.70661 \tabularnewline
38 & 10.3 & 14.0594 & -3.75936 \tabularnewline
39 & 10.4 & 12.6554 & -2.25542 \tabularnewline
40 & 12.7 & 12.7175 & -0.0175381 \tabularnewline
41 & 9.3 & 13.4031 & -4.10313 \tabularnewline
42 & 11.8 & 13.0415 & -1.24155 \tabularnewline
43 & 5.9 & 13.2611 & -7.36112 \tabularnewline
44 & 11.4 & 13.3069 & -1.90685 \tabularnewline
45 & 13 & 12.5809 & 0.419107 \tabularnewline
46 & 10.8 & 13.6059 & -2.80591 \tabularnewline
47 & 12.3 & 13.0007 & -0.700685 \tabularnewline
48 & 11.3 & 13.4567 & -2.1567 \tabularnewline
49 & 11.8 & 12.1142 & -0.314236 \tabularnewline
50 & 7.9 & 12.3133 & -4.41326 \tabularnewline
51 & 12.7 & 11.8489 & 0.851068 \tabularnewline
52 & 12.3 & 13.5209 & -1.22092 \tabularnewline
53 & 11.6 & 13.779 & -2.17902 \tabularnewline
54 & 6.7 & 12.1569 & -5.45694 \tabularnewline
55 & 10.9 & 13.7176 & -2.8176 \tabularnewline
56 & 12.1 & 12.0872 & 0.0127832 \tabularnewline
57 & 13.3 & 12.5407 & 0.759331 \tabularnewline
58 & 10.1 & 13.471 & -3.37101 \tabularnewline
59 & 5.7 & 13.4988 & -7.79877 \tabularnewline
60 & 14.3 & 12.0149 & 2.28507 \tabularnewline
61 & 8 & 12.7439 & -4.74386 \tabularnewline
62 & 13.3 & 12.9183 & 0.381747 \tabularnewline
63 & 9.3 & 13.4789 & -4.17885 \tabularnewline
64 & 12.5 & 11.8175 & 0.682491 \tabularnewline
65 & 7.6 & 13.8211 & -6.22108 \tabularnewline
66 & 15.9 & 13.4346 & 2.46545 \tabularnewline
67 & 9.2 & 12.2248 & -3.02482 \tabularnewline
68 & 9.1 & 13.7292 & -4.62921 \tabularnewline
69 & 11.1 & 13.4301 & -2.33015 \tabularnewline
70 & 13 & 13.3383 & -0.338276 \tabularnewline
71 & 14.5 & 14.0485 & 0.451506 \tabularnewline
72 & 12.2 & 12.2139 & -0.0139499 \tabularnewline
73 & 12.3 & 12.404 & -0.104024 \tabularnewline
74 & 11.4 & 13.2041 & -1.80411 \tabularnewline
75 & 8.8 & 12.7656 & -3.9656 \tabularnewline
76 & 14.6 & 13.2184 & 1.38158 \tabularnewline
77 & 7.3 & 13.1836 & -5.88356 \tabularnewline
78 & 12.6 & 12.3416 & 0.258351 \tabularnewline
79 & NA & NA & 0.352184 \tabularnewline
80 & 13 & 13.7683 & -0.768268 \tabularnewline
81 & 12.6 & 12.055 & 0.544982 \tabularnewline
82 & 13.2 & 15.4761 & -2.27606 \tabularnewline
83 & 9.9 & 14.305 & -4.40496 \tabularnewline
84 & 7.7 & 10.0683 & -2.36835 \tabularnewline
85 & 10.5 & 9.38808 & 1.11192 \tabularnewline
86 & 13.4 & 15.6648 & -2.26484 \tabularnewline
87 & 10.9 & 19.0167 & -8.11673 \tabularnewline
88 & 4.3 & 7.20452 & -2.90452 \tabularnewline
89 & 10.3 & 10.8897 & -0.589715 \tabularnewline
90 & 11.8 & 13.7193 & -1.91934 \tabularnewline
91 & 11.2 & 13.3523 & -2.15234 \tabularnewline
92 & 11.4 & 16.1147 & -4.71469 \tabularnewline
93 & 8.6 & 6.99978 & 1.60022 \tabularnewline
94 & 13.2 & 13.8075 & -0.607547 \tabularnewline
95 & 12.6 & 19.6506 & -7.05061 \tabularnewline
96 & 5.6 & 7.40692 & -1.80692 \tabularnewline
97 & 9.9 & 13.7158 & -3.81575 \tabularnewline
98 & 8.8 & 12.8954 & -4.09536 \tabularnewline
99 & 7.7 & 10.4605 & -2.7605 \tabularnewline
100 & 9 & 14.1576 & -5.1576 \tabularnewline
101 & 7.3 & 9.59058 & -2.29058 \tabularnewline
102 & 11.4 & 10.93 & 0.470017 \tabularnewline
103 & 13.6 & 18.9533 & -5.35328 \tabularnewline
104 & 7.9 & 10.6489 & -2.74886 \tabularnewline
105 & 10.7 & 14.1719 & -3.47191 \tabularnewline
106 & 10.3 & 14.3765 & -4.07651 \tabularnewline
107 & 8.3 & 10.7685 & -2.4685 \tabularnewline
108 & 9.6 & 7.43364 & 2.16636 \tabularnewline
109 & 14.2 & 18.2755 & -4.07553 \tabularnewline
110 & 8.5 & 7.26793 & 1.23207 \tabularnewline
111 & 13.5 & 22.2142 & -8.71416 \tabularnewline
112 & 4.9 & 11.6078 & -6.70783 \tabularnewline
113 & 6.4 & 8.7265 & -2.3265 \tabularnewline
114 & 9.6 & 11.2041 & -1.60411 \tabularnewline
115 & 11.6 & 13.4123 & -1.81225 \tabularnewline
116 & 11.1 & 19.0318 & -7.93183 \tabularnewline
117 & 4.35 & 5.27917 & -0.929168 \tabularnewline
118 & 12.7 & 7.77635 & 4.92365 \tabularnewline
119 & 18.1 & 14.5193 & 3.58074 \tabularnewline
120 & 17.85 & 14.7931 & 3.05693 \tabularnewline
121 & 16.6 & 16.0149 & 0.58507 \tabularnewline
122 & 12.6 & 8.98606 & 3.61394 \tabularnewline
123 & 17.1 & 11.6827 & 5.41726 \tabularnewline
124 & 19.1 & 15.9845 & 3.11546 \tabularnewline
125 & 16.1 & 14.8185 & 1.2815 \tabularnewline
126 & 13.35 & 7.95069 & 5.39931 \tabularnewline
127 & 18.4 & 17.1639 & 1.2361 \tabularnewline
128 & 14.7 & 17.1007 & -2.40069 \tabularnewline
129 & 10.6 & 9.91865 & 0.681346 \tabularnewline
130 & 12.6 & 8.39094 & 4.20906 \tabularnewline
131 & 16.2 & 14.7034 & 1.49664 \tabularnewline
132 & 13.6 & 7.51918 & 6.08082 \tabularnewline
133 & 18.9 & 18.2174 & 0.682562 \tabularnewline
134 & 14.1 & 13.7272 & 0.372752 \tabularnewline
135 & 14.5 & 10.7104 & 3.78964 \tabularnewline
136 & 16.15 & 14.497 & 1.65304 \tabularnewline
137 & 14.75 & 13.1261 & 1.62388 \tabularnewline
138 & 14.8 & 15.9415 & -1.14151 \tabularnewline
139 & 12.45 & 12.5702 & -0.120242 \tabularnewline
140 & 12.65 & 8.84073 & 3.80927 \tabularnewline
141 & 17.35 & 22.1924 & -4.84239 \tabularnewline
142 & 8.6 & 3.27297 & 5.32703 \tabularnewline
143 & 18.4 & 15.88 & 2.52 \tabularnewline
144 & 16.1 & 18.1719 & -2.07187 \tabularnewline
145 & 11.6 & 6.78463 & 4.81537 \tabularnewline
146 & 17.75 & 14.8878 & 2.86221 \tabularnewline
147 & 15.25 & 10.9069 & 4.34315 \tabularnewline
148 & 17.65 & 14.3916 & 3.25835 \tabularnewline
149 & 15.6 & 11.5318 & 4.06817 \tabularnewline
150 & 16.35 & 11.9577 & 4.39232 \tabularnewline
151 & 17.65 & 15.9529 & 1.69709 \tabularnewline
152 & 13.6 & 14.3301 & -0.730084 \tabularnewline
153 & 11.7 & 9.8371 & 1.8629 \tabularnewline
154 & 14.35 & 12.0984 & 2.25163 \tabularnewline
155 & 14.75 & 10.6272 & 4.12275 \tabularnewline
156 & 18.25 & 20.5605 & -2.31051 \tabularnewline
157 & 9.9 & 7.74043 & 2.15957 \tabularnewline
158 & 16 & 11.1255 & 4.87453 \tabularnewline
159 & 18.25 & 13.3374 & 4.91263 \tabularnewline
160 & 16.85 & 15.9942 & 0.855843 \tabularnewline
161 & 14.6 & 12.9748 & 1.62518 \tabularnewline
162 & 13.85 & 8.90395 & 4.94605 \tabularnewline
163 & 18.95 & 16.4264 & 2.52359 \tabularnewline
164 & 15.6 & 13.5611 & 2.03889 \tabularnewline
165 & 14.85 & 16.6691 & -1.81913 \tabularnewline
166 & 11.75 & 6.78606 & 4.96394 \tabularnewline
167 & 18.45 & 15.9068 & 2.54324 \tabularnewline
168 & 15.9 & 12.6682 & 3.23181 \tabularnewline
169 & 17.1 & 14.779 & 2.32098 \tabularnewline
170 & 16.1 & 10.2467 & 5.85335 \tabularnewline
171 & 19.9 & 21.9416 & -2.04164 \tabularnewline
172 & 10.95 & 5.50669 & 5.44331 \tabularnewline
173 & 18.45 & 17.7155 & 0.734468 \tabularnewline
174 & 15.1 & 13.4461 & 1.65388 \tabularnewline
175 & 15 & 16.7613 & -1.76127 \tabularnewline
176 & 11.35 & 8.64057 & 2.70943 \tabularnewline
177 & 15.95 & 10.5586 & 5.39141 \tabularnewline
178 & 18.1 & 17.2322 & 0.867819 \tabularnewline
179 & 14.6 & 12.7059 & 1.89413 \tabularnewline
180 & 15.4 & 13.5059 & 1.89413 \tabularnewline
181 & 15.4 & 10.3587 & 5.04126 \tabularnewline
182 & 17.6 & 17.0962 & 0.503804 \tabularnewline
183 & 13.35 & 6.2758 & 7.0742 \tabularnewline
184 & 19.1 & 16.746 & 2.35395 \tabularnewline
185 & 15.35 & 20.0247 & -4.67473 \tabularnewline
186 & 7.6 & 7.47199 & 0.128008 \tabularnewline
187 & 13.4 & 11.8068 & 1.59321 \tabularnewline
188 & 13.9 & 8.74391 & 5.15609 \tabularnewline
189 & 19.1 & 16.4166 & 2.68342 \tabularnewline
190 & 15.25 & 15.7646 & -0.514638 \tabularnewline
191 & 12.9 & 10.1406 & 2.75939 \tabularnewline
192 & 16.1 & 12.0906 & 4.00939 \tabularnewline
193 & 17.35 & 17.5406 & -0.190609 \tabularnewline
194 & 13.15 & 14.287 & -1.13704 \tabularnewline
195 & 12.15 & 11.5915 & 0.558515 \tabularnewline
196 & 12.6 & 15.2915 & -2.69155 \tabularnewline
197 & 10.35 & 8.06975 & 2.28025 \tabularnewline
198 & 15.4 & 19.1766 & -3.77657 \tabularnewline
199 & 9.6 & 3.79802 & 5.80198 \tabularnewline
200 & 18.2 & 16.859 & 1.34102 \tabularnewline
201 & 13.6 & 12.5771 & 1.02292 \tabularnewline
202 & 14.85 & 12.6887 & 2.16127 \tabularnewline
203 & 14.75 & 13.0378 & 1.71221 \tabularnewline
204 & 14.1 & 11.6516 & 2.44841 \tabularnewline
205 & 14.9 & 11.1237 & 3.77625 \tabularnewline
206 & 16.25 & 9.98454 & 6.26546 \tabularnewline
207 & 19.25 & 17.9861 & 1.26386 \tabularnewline
208 & 13.6 & 12.2061 & 1.39389 \tabularnewline
209 & 13.6 & 11.4808 & 2.11917 \tabularnewline
210 & 15.65 & 16.0505 & -0.400535 \tabularnewline
211 & 12.75 & 11.7023 & 1.04766 \tabularnewline
212 & 14.6 & 16.9527 & -2.35267 \tabularnewline
213 & 9.85 & 10.131 & -0.280964 \tabularnewline
214 & 12.65 & 13.4399 & -0.789879 \tabularnewline
215 & 11.9 & 4.92707 & 6.97293 \tabularnewline
216 & 19.2 & 15.62 & 3.57996 \tabularnewline
217 & 16.6 & 19.0557 & -2.45572 \tabularnewline
218 & 11.2 & 8.76134 & 2.43866 \tabularnewline
219 & 15.25 & 15.733 & -0.482977 \tabularnewline
220 & 11.9 & 10.7258 & 1.1742 \tabularnewline
221 & 13.2 & 9.60409 & 3.59591 \tabularnewline
222 & 16.35 & 15.8151 & 0.53492 \tabularnewline
223 & 12.4 & 9.4816 & 2.9184 \tabularnewline
224 & 15.85 & 14.321 & 1.52898 \tabularnewline
225 & 14.35 & 9.93632 & 4.41368 \tabularnewline
226 & 18.15 & 20.1836 & -2.03356 \tabularnewline
227 & 11.15 & 8.66374 & 2.48626 \tabularnewline
228 & 15.65 & 10.0177 & 5.63233 \tabularnewline
229 & 17.75 & 22.3788 & -4.6288 \tabularnewline
230 & 7.65 & 8.45213 & -0.802134 \tabularnewline
231 & 12.35 & 9.03664 & 3.31336 \tabularnewline
232 & 15.6 & 10.2522 & 5.34778 \tabularnewline
233 & 19.3 & 17.1272 & 2.17276 \tabularnewline
234 & 15.2 & 10.8247 & 4.37526 \tabularnewline
235 & 17.1 & 15.3398 & 1.76021 \tabularnewline
236 & 15.6 & 10.6567 & 4.9433 \tabularnewline
237 & 18.4 & 12.5005 & 5.89946 \tabularnewline
238 & 19.05 & 12.9414 & 6.10864 \tabularnewline
239 & 18.55 & 12.3846 & 6.16537 \tabularnewline
240 & 19.1 & 19.2184 & -0.118418 \tabularnewline
241 & 13.1 & 13.5425 & -0.442543 \tabularnewline
242 & 12.85 & 15.7914 & -2.94136 \tabularnewline
243 & 9.5 & 18.5175 & -9.01748 \tabularnewline
244 & 4.5 & 4.94344 & -0.443439 \tabularnewline
245 & 11.85 & 10.6408 & 1.20918 \tabularnewline
246 & 13.6 & 14.2878 & -0.687788 \tabularnewline
247 & 11.7 & 11.9291 & -0.229104 \tabularnewline
248 & 12.4 & 12.2684 & 0.131582 \tabularnewline
249 & 13.35 & 13.8338 & -0.483793 \tabularnewline
250 & 11.4 & 9.5621 & 1.8379 \tabularnewline
251 & 14.9 & 9.04665 & 5.85335 \tabularnewline
252 & 19.9 & 15.9898 & 3.91021 \tabularnewline
253 & 17.75 & 19.4495 & -1.69954 \tabularnewline
254 & 11.2 & 9.12732 & 2.07268 \tabularnewline
255 & 14.6 & 9.54787 & 5.05213 \tabularnewline
256 & 17.6 & 16.5887 & 1.01125 \tabularnewline
257 & 14.05 & 10.0864 & 3.96361 \tabularnewline
258 & 16.1 & 15.2552 & 0.844832 \tabularnewline
259 & 13.35 & 13.6015 & -0.251526 \tabularnewline
260 & 11.85 & 13.2461 & -1.39612 \tabularnewline
261 & 11.95 & 10.9941 & 0.955939 \tabularnewline
262 & 14.75 & 12.1052 & 2.64483 \tabularnewline
263 & 15.15 & 15.279 & -0.129003 \tabularnewline
264 & 13.2 & 9.63704 & 3.56296 \tabularnewline
265 & 16.85 & 22.5558 & -5.70578 \tabularnewline
266 & 7.85 & 13.2423 & -5.39232 \tabularnewline
267 & 7.7 & 7.55944 & 0.140564 \tabularnewline
268 & 12.6 & 16.5266 & -3.92665 \tabularnewline
269 & 7.85 & 9.89164 & -2.04164 \tabularnewline
270 & 10.95 & 11.9406 & -0.990609 \tabularnewline
271 & 12.35 & 15.064 & -2.71396 \tabularnewline
272 & 9.95 & 8.1121 & 1.8379 \tabularnewline
273 & 14.9 & 11.7656 & 3.13445 \tabularnewline
274 & 16.65 & 17.0747 & -0.42475 \tabularnewline
275 & 13.4 & 12.7504 & 0.649615 \tabularnewline
276 & 13.95 & 9.9682 & 3.9818 \tabularnewline
277 & 15.7 & 12.7655 & 2.93448 \tabularnewline
278 & 16.85 & 19.6869 & -2.83686 \tabularnewline
279 & 10.95 & 7.85321 & 3.09679 \tabularnewline
280 & 15.35 & 16.6559 & -1.30587 \tabularnewline
281 & 12.2 & 9.38064 & 2.81936 \tabularnewline
282 & 15.1 & 10.3915 & 4.70845 \tabularnewline
283 & 17.75 & 15.5694 & 2.1806 \tabularnewline
284 & 15.2 & 14.1175 & 1.08252 \tabularnewline
285 & 14.6 & 10.9772 & 3.62276 \tabularnewline
286 & 16.65 & 21.7414 & -5.0914 \tabularnewline
287 & 8.1 & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=264766&T=4

[TABLE]
[ROW][C]Multiple Linear Regression - Actuals, Interpolation, and Residuals[/C][/ROW]
[ROW][C]Time or Index[/C][C]Actuals[/C][C]InterpolationForecast[/C][C]ResidualsPrediction Error[/C][/ROW]
[ROW][C]1[/C][C]12.9[/C][C]13.1692[/C][C]-0.269248[/C][/ROW]
[ROW][C]2[/C][C]7.4[/C][C]13.1836[/C][C]-5.78356[/C][/ROW]
[ROW][C]3[/C][C]12.2[/C][C]12.6693[/C][C]-0.469327[/C][/ROW]
[ROW][C]4[/C][C]12.8[/C][C]13.0194[/C][C]-0.219398[/C][/ROW]
[ROW][C]5[/C][C]7.4[/C][C]12.2184[/C][C]-4.81835[/C][/ROW]
[ROW][C]6[/C][C]6.7[/C][C]12.247[/C][C]-5.54697[/C][/ROW]
[ROW][C]7[/C][C]12.6[/C][C]12.4444[/C][C]0.155607[/C][/ROW]
[ROW][C]8[/C][C]14.8[/C][C]13.6763[/C][C]1.12373[/C][/ROW]
[ROW][C]9[/C][C]13.3[/C][C]13.6479[/C][C]-0.34788[/C][/ROW]
[ROW][C]10[/C][C]11.1[/C][C]12.3289[/C][C]-1.22894[/C][/ROW]
[ROW][C]11[/C][C]8.2[/C][C]13.2611[/C][C]-5.06112[/C][/ROW]
[ROW][C]12[/C][C]11.4[/C][C]13.6138[/C][C]-2.21375[/C][/ROW]
[ROW][C]13[/C][C]6.4[/C][C]12.5328[/C][C]-6.13283[/C][/ROW]
[ROW][C]14[/C][C]10.6[/C][C]12.4095[/C][C]-1.80953[/C][/ROW]
[ROW][C]15[/C][C]12[/C][C]13.0194[/C][C]-1.0194[/C][/ROW]
[ROW][C]16[/C][C]6.3[/C][C]12.7513[/C][C]-6.45129[/C][/ROW]
[ROW][C]17[/C][C]11.3[/C][C]13.2925[/C][C]-1.99254[/C][/ROW]
[ROW][C]18[/C][C]11.9[/C][C]12.9425[/C][C]-1.04247[/C][/ROW]
[ROW][C]19[/C][C]9.3[/C][C]12.3853[/C][C]-3.08531[/C][/ROW]
[ROW][C]20[/C][C]9.6[/C][C]12.4354[/C][C]-2.83545[/C][/ROW]
[ROW][C]21[/C][C]10[/C][C]12.0607[/C][C]-2.06066[/C][/ROW]
[ROW][C]22[/C][C]6.4[/C][C]13.239[/C][C]-6.83897[/C][/ROW]
[ROW][C]23[/C][C]13.8[/C][C]12.2934[/C][C]1.50656[/C][/ROW]
[ROW][C]24[/C][C]10.8[/C][C]12.2399[/C][C]-1.43986[/C][/ROW]
[ROW][C]25[/C][C]13.8[/C][C]12.6472[/C][C]1.15282[/C][/ROW]
[ROW][C]26[/C][C]11.7[/C][C]13.6984[/C][C]-1.99842[/C][/ROW]
[ROW][C]27[/C][C]10.9[/C][C]12.2109[/C][C]-1.31092[/C][/ROW]
[ROW][C]28[/C][C]16.1[/C][C]12.5682[/C][C]3.53182[/C][/ROW]
[ROW][C]29[/C][C]13.4[/C][C]13.2041[/C][C]0.195891[/C][/ROW]
[ROW][C]30[/C][C]9.9[/C][C]13.5523[/C][C]-3.65234[/C][/ROW]
[ROW][C]31[/C][C]11.5[/C][C]13.2738[/C][C]-1.77383[/C][/ROW]
[ROW][C]32[/C][C]8.3[/C][C]12.3096[/C][C]-4.00959[/C][/ROW]
[ROW][C]33[/C][C]11.7[/C][C]12.2248[/C][C]-0.524821[/C][/ROW]
[ROW][C]34[/C][C]6.1[/C][C]13.13[/C][C]-7.02998[/C][/ROW]
[ROW][C]35[/C][C]9[/C][C]13.2263[/C][C]-4.22626[/C][/ROW]
[ROW][C]36[/C][C]9.7[/C][C]13.4346[/C][C]-3.73455[/C][/ROW]
[ROW][C]37[/C][C]10.8[/C][C]13.5066[/C][C]-2.70661[/C][/ROW]
[ROW][C]38[/C][C]10.3[/C][C]14.0594[/C][C]-3.75936[/C][/ROW]
[ROW][C]39[/C][C]10.4[/C][C]12.6554[/C][C]-2.25542[/C][/ROW]
[ROW][C]40[/C][C]12.7[/C][C]12.7175[/C][C]-0.0175381[/C][/ROW]
[ROW][C]41[/C][C]9.3[/C][C]13.4031[/C][C]-4.10313[/C][/ROW]
[ROW][C]42[/C][C]11.8[/C][C]13.0415[/C][C]-1.24155[/C][/ROW]
[ROW][C]43[/C][C]5.9[/C][C]13.2611[/C][C]-7.36112[/C][/ROW]
[ROW][C]44[/C][C]11.4[/C][C]13.3069[/C][C]-1.90685[/C][/ROW]
[ROW][C]45[/C][C]13[/C][C]12.5809[/C][C]0.419107[/C][/ROW]
[ROW][C]46[/C][C]10.8[/C][C]13.6059[/C][C]-2.80591[/C][/ROW]
[ROW][C]47[/C][C]12.3[/C][C]13.0007[/C][C]-0.700685[/C][/ROW]
[ROW][C]48[/C][C]11.3[/C][C]13.4567[/C][C]-2.1567[/C][/ROW]
[ROW][C]49[/C][C]11.8[/C][C]12.1142[/C][C]-0.314236[/C][/ROW]
[ROW][C]50[/C][C]7.9[/C][C]12.3133[/C][C]-4.41326[/C][/ROW]
[ROW][C]51[/C][C]12.7[/C][C]11.8489[/C][C]0.851068[/C][/ROW]
[ROW][C]52[/C][C]12.3[/C][C]13.5209[/C][C]-1.22092[/C][/ROW]
[ROW][C]53[/C][C]11.6[/C][C]13.779[/C][C]-2.17902[/C][/ROW]
[ROW][C]54[/C][C]6.7[/C][C]12.1569[/C][C]-5.45694[/C][/ROW]
[ROW][C]55[/C][C]10.9[/C][C]13.7176[/C][C]-2.8176[/C][/ROW]
[ROW][C]56[/C][C]12.1[/C][C]12.0872[/C][C]0.0127832[/C][/ROW]
[ROW][C]57[/C][C]13.3[/C][C]12.5407[/C][C]0.759331[/C][/ROW]
[ROW][C]58[/C][C]10.1[/C][C]13.471[/C][C]-3.37101[/C][/ROW]
[ROW][C]59[/C][C]5.7[/C][C]13.4988[/C][C]-7.79877[/C][/ROW]
[ROW][C]60[/C][C]14.3[/C][C]12.0149[/C][C]2.28507[/C][/ROW]
[ROW][C]61[/C][C]8[/C][C]12.7439[/C][C]-4.74386[/C][/ROW]
[ROW][C]62[/C][C]13.3[/C][C]12.9183[/C][C]0.381747[/C][/ROW]
[ROW][C]63[/C][C]9.3[/C][C]13.4789[/C][C]-4.17885[/C][/ROW]
[ROW][C]64[/C][C]12.5[/C][C]11.8175[/C][C]0.682491[/C][/ROW]
[ROW][C]65[/C][C]7.6[/C][C]13.8211[/C][C]-6.22108[/C][/ROW]
[ROW][C]66[/C][C]15.9[/C][C]13.4346[/C][C]2.46545[/C][/ROW]
[ROW][C]67[/C][C]9.2[/C][C]12.2248[/C][C]-3.02482[/C][/ROW]
[ROW][C]68[/C][C]9.1[/C][C]13.7292[/C][C]-4.62921[/C][/ROW]
[ROW][C]69[/C][C]11.1[/C][C]13.4301[/C][C]-2.33015[/C][/ROW]
[ROW][C]70[/C][C]13[/C][C]13.3383[/C][C]-0.338276[/C][/ROW]
[ROW][C]71[/C][C]14.5[/C][C]14.0485[/C][C]0.451506[/C][/ROW]
[ROW][C]72[/C][C]12.2[/C][C]12.2139[/C][C]-0.0139499[/C][/ROW]
[ROW][C]73[/C][C]12.3[/C][C]12.404[/C][C]-0.104024[/C][/ROW]
[ROW][C]74[/C][C]11.4[/C][C]13.2041[/C][C]-1.80411[/C][/ROW]
[ROW][C]75[/C][C]8.8[/C][C]12.7656[/C][C]-3.9656[/C][/ROW]
[ROW][C]76[/C][C]14.6[/C][C]13.2184[/C][C]1.38158[/C][/ROW]
[ROW][C]77[/C][C]7.3[/C][C]13.1836[/C][C]-5.88356[/C][/ROW]
[ROW][C]78[/C][C]12.6[/C][C]12.3416[/C][C]0.258351[/C][/ROW]
[ROW][C]79[/C][C]NA[/C][C]NA[/C][C]0.352184[/C][/ROW]
[ROW][C]80[/C][C]13[/C][C]13.7683[/C][C]-0.768268[/C][/ROW]
[ROW][C]81[/C][C]12.6[/C][C]12.055[/C][C]0.544982[/C][/ROW]
[ROW][C]82[/C][C]13.2[/C][C]15.4761[/C][C]-2.27606[/C][/ROW]
[ROW][C]83[/C][C]9.9[/C][C]14.305[/C][C]-4.40496[/C][/ROW]
[ROW][C]84[/C][C]7.7[/C][C]10.0683[/C][C]-2.36835[/C][/ROW]
[ROW][C]85[/C][C]10.5[/C][C]9.38808[/C][C]1.11192[/C][/ROW]
[ROW][C]86[/C][C]13.4[/C][C]15.6648[/C][C]-2.26484[/C][/ROW]
[ROW][C]87[/C][C]10.9[/C][C]19.0167[/C][C]-8.11673[/C][/ROW]
[ROW][C]88[/C][C]4.3[/C][C]7.20452[/C][C]-2.90452[/C][/ROW]
[ROW][C]89[/C][C]10.3[/C][C]10.8897[/C][C]-0.589715[/C][/ROW]
[ROW][C]90[/C][C]11.8[/C][C]13.7193[/C][C]-1.91934[/C][/ROW]
[ROW][C]91[/C][C]11.2[/C][C]13.3523[/C][C]-2.15234[/C][/ROW]
[ROW][C]92[/C][C]11.4[/C][C]16.1147[/C][C]-4.71469[/C][/ROW]
[ROW][C]93[/C][C]8.6[/C][C]6.99978[/C][C]1.60022[/C][/ROW]
[ROW][C]94[/C][C]13.2[/C][C]13.8075[/C][C]-0.607547[/C][/ROW]
[ROW][C]95[/C][C]12.6[/C][C]19.6506[/C][C]-7.05061[/C][/ROW]
[ROW][C]96[/C][C]5.6[/C][C]7.40692[/C][C]-1.80692[/C][/ROW]
[ROW][C]97[/C][C]9.9[/C][C]13.7158[/C][C]-3.81575[/C][/ROW]
[ROW][C]98[/C][C]8.8[/C][C]12.8954[/C][C]-4.09536[/C][/ROW]
[ROW][C]99[/C][C]7.7[/C][C]10.4605[/C][C]-2.7605[/C][/ROW]
[ROW][C]100[/C][C]9[/C][C]14.1576[/C][C]-5.1576[/C][/ROW]
[ROW][C]101[/C][C]7.3[/C][C]9.59058[/C][C]-2.29058[/C][/ROW]
[ROW][C]102[/C][C]11.4[/C][C]10.93[/C][C]0.470017[/C][/ROW]
[ROW][C]103[/C][C]13.6[/C][C]18.9533[/C][C]-5.35328[/C][/ROW]
[ROW][C]104[/C][C]7.9[/C][C]10.6489[/C][C]-2.74886[/C][/ROW]
[ROW][C]105[/C][C]10.7[/C][C]14.1719[/C][C]-3.47191[/C][/ROW]
[ROW][C]106[/C][C]10.3[/C][C]14.3765[/C][C]-4.07651[/C][/ROW]
[ROW][C]107[/C][C]8.3[/C][C]10.7685[/C][C]-2.4685[/C][/ROW]
[ROW][C]108[/C][C]9.6[/C][C]7.43364[/C][C]2.16636[/C][/ROW]
[ROW][C]109[/C][C]14.2[/C][C]18.2755[/C][C]-4.07553[/C][/ROW]
[ROW][C]110[/C][C]8.5[/C][C]7.26793[/C][C]1.23207[/C][/ROW]
[ROW][C]111[/C][C]13.5[/C][C]22.2142[/C][C]-8.71416[/C][/ROW]
[ROW][C]112[/C][C]4.9[/C][C]11.6078[/C][C]-6.70783[/C][/ROW]
[ROW][C]113[/C][C]6.4[/C][C]8.7265[/C][C]-2.3265[/C][/ROW]
[ROW][C]114[/C][C]9.6[/C][C]11.2041[/C][C]-1.60411[/C][/ROW]
[ROW][C]115[/C][C]11.6[/C][C]13.4123[/C][C]-1.81225[/C][/ROW]
[ROW][C]116[/C][C]11.1[/C][C]19.0318[/C][C]-7.93183[/C][/ROW]
[ROW][C]117[/C][C]4.35[/C][C]5.27917[/C][C]-0.929168[/C][/ROW]
[ROW][C]118[/C][C]12.7[/C][C]7.77635[/C][C]4.92365[/C][/ROW]
[ROW][C]119[/C][C]18.1[/C][C]14.5193[/C][C]3.58074[/C][/ROW]
[ROW][C]120[/C][C]17.85[/C][C]14.7931[/C][C]3.05693[/C][/ROW]
[ROW][C]121[/C][C]16.6[/C][C]16.0149[/C][C]0.58507[/C][/ROW]
[ROW][C]122[/C][C]12.6[/C][C]8.98606[/C][C]3.61394[/C][/ROW]
[ROW][C]123[/C][C]17.1[/C][C]11.6827[/C][C]5.41726[/C][/ROW]
[ROW][C]124[/C][C]19.1[/C][C]15.9845[/C][C]3.11546[/C][/ROW]
[ROW][C]125[/C][C]16.1[/C][C]14.8185[/C][C]1.2815[/C][/ROW]
[ROW][C]126[/C][C]13.35[/C][C]7.95069[/C][C]5.39931[/C][/ROW]
[ROW][C]127[/C][C]18.4[/C][C]17.1639[/C][C]1.2361[/C][/ROW]
[ROW][C]128[/C][C]14.7[/C][C]17.1007[/C][C]-2.40069[/C][/ROW]
[ROW][C]129[/C][C]10.6[/C][C]9.91865[/C][C]0.681346[/C][/ROW]
[ROW][C]130[/C][C]12.6[/C][C]8.39094[/C][C]4.20906[/C][/ROW]
[ROW][C]131[/C][C]16.2[/C][C]14.7034[/C][C]1.49664[/C][/ROW]
[ROW][C]132[/C][C]13.6[/C][C]7.51918[/C][C]6.08082[/C][/ROW]
[ROW][C]133[/C][C]18.9[/C][C]18.2174[/C][C]0.682562[/C][/ROW]
[ROW][C]134[/C][C]14.1[/C][C]13.7272[/C][C]0.372752[/C][/ROW]
[ROW][C]135[/C][C]14.5[/C][C]10.7104[/C][C]3.78964[/C][/ROW]
[ROW][C]136[/C][C]16.15[/C][C]14.497[/C][C]1.65304[/C][/ROW]
[ROW][C]137[/C][C]14.75[/C][C]13.1261[/C][C]1.62388[/C][/ROW]
[ROW][C]138[/C][C]14.8[/C][C]15.9415[/C][C]-1.14151[/C][/ROW]
[ROW][C]139[/C][C]12.45[/C][C]12.5702[/C][C]-0.120242[/C][/ROW]
[ROW][C]140[/C][C]12.65[/C][C]8.84073[/C][C]3.80927[/C][/ROW]
[ROW][C]141[/C][C]17.35[/C][C]22.1924[/C][C]-4.84239[/C][/ROW]
[ROW][C]142[/C][C]8.6[/C][C]3.27297[/C][C]5.32703[/C][/ROW]
[ROW][C]143[/C][C]18.4[/C][C]15.88[/C][C]2.52[/C][/ROW]
[ROW][C]144[/C][C]16.1[/C][C]18.1719[/C][C]-2.07187[/C][/ROW]
[ROW][C]145[/C][C]11.6[/C][C]6.78463[/C][C]4.81537[/C][/ROW]
[ROW][C]146[/C][C]17.75[/C][C]14.8878[/C][C]2.86221[/C][/ROW]
[ROW][C]147[/C][C]15.25[/C][C]10.9069[/C][C]4.34315[/C][/ROW]
[ROW][C]148[/C][C]17.65[/C][C]14.3916[/C][C]3.25835[/C][/ROW]
[ROW][C]149[/C][C]15.6[/C][C]11.5318[/C][C]4.06817[/C][/ROW]
[ROW][C]150[/C][C]16.35[/C][C]11.9577[/C][C]4.39232[/C][/ROW]
[ROW][C]151[/C][C]17.65[/C][C]15.9529[/C][C]1.69709[/C][/ROW]
[ROW][C]152[/C][C]13.6[/C][C]14.3301[/C][C]-0.730084[/C][/ROW]
[ROW][C]153[/C][C]11.7[/C][C]9.8371[/C][C]1.8629[/C][/ROW]
[ROW][C]154[/C][C]14.35[/C][C]12.0984[/C][C]2.25163[/C][/ROW]
[ROW][C]155[/C][C]14.75[/C][C]10.6272[/C][C]4.12275[/C][/ROW]
[ROW][C]156[/C][C]18.25[/C][C]20.5605[/C][C]-2.31051[/C][/ROW]
[ROW][C]157[/C][C]9.9[/C][C]7.74043[/C][C]2.15957[/C][/ROW]
[ROW][C]158[/C][C]16[/C][C]11.1255[/C][C]4.87453[/C][/ROW]
[ROW][C]159[/C][C]18.25[/C][C]13.3374[/C][C]4.91263[/C][/ROW]
[ROW][C]160[/C][C]16.85[/C][C]15.9942[/C][C]0.855843[/C][/ROW]
[ROW][C]161[/C][C]14.6[/C][C]12.9748[/C][C]1.62518[/C][/ROW]
[ROW][C]162[/C][C]13.85[/C][C]8.90395[/C][C]4.94605[/C][/ROW]
[ROW][C]163[/C][C]18.95[/C][C]16.4264[/C][C]2.52359[/C][/ROW]
[ROW][C]164[/C][C]15.6[/C][C]13.5611[/C][C]2.03889[/C][/ROW]
[ROW][C]165[/C][C]14.85[/C][C]16.6691[/C][C]-1.81913[/C][/ROW]
[ROW][C]166[/C][C]11.75[/C][C]6.78606[/C][C]4.96394[/C][/ROW]
[ROW][C]167[/C][C]18.45[/C][C]15.9068[/C][C]2.54324[/C][/ROW]
[ROW][C]168[/C][C]15.9[/C][C]12.6682[/C][C]3.23181[/C][/ROW]
[ROW][C]169[/C][C]17.1[/C][C]14.779[/C][C]2.32098[/C][/ROW]
[ROW][C]170[/C][C]16.1[/C][C]10.2467[/C][C]5.85335[/C][/ROW]
[ROW][C]171[/C][C]19.9[/C][C]21.9416[/C][C]-2.04164[/C][/ROW]
[ROW][C]172[/C][C]10.95[/C][C]5.50669[/C][C]5.44331[/C][/ROW]
[ROW][C]173[/C][C]18.45[/C][C]17.7155[/C][C]0.734468[/C][/ROW]
[ROW][C]174[/C][C]15.1[/C][C]13.4461[/C][C]1.65388[/C][/ROW]
[ROW][C]175[/C][C]15[/C][C]16.7613[/C][C]-1.76127[/C][/ROW]
[ROW][C]176[/C][C]11.35[/C][C]8.64057[/C][C]2.70943[/C][/ROW]
[ROW][C]177[/C][C]15.95[/C][C]10.5586[/C][C]5.39141[/C][/ROW]
[ROW][C]178[/C][C]18.1[/C][C]17.2322[/C][C]0.867819[/C][/ROW]
[ROW][C]179[/C][C]14.6[/C][C]12.7059[/C][C]1.89413[/C][/ROW]
[ROW][C]180[/C][C]15.4[/C][C]13.5059[/C][C]1.89413[/C][/ROW]
[ROW][C]181[/C][C]15.4[/C][C]10.3587[/C][C]5.04126[/C][/ROW]
[ROW][C]182[/C][C]17.6[/C][C]17.0962[/C][C]0.503804[/C][/ROW]
[ROW][C]183[/C][C]13.35[/C][C]6.2758[/C][C]7.0742[/C][/ROW]
[ROW][C]184[/C][C]19.1[/C][C]16.746[/C][C]2.35395[/C][/ROW]
[ROW][C]185[/C][C]15.35[/C][C]20.0247[/C][C]-4.67473[/C][/ROW]
[ROW][C]186[/C][C]7.6[/C][C]7.47199[/C][C]0.128008[/C][/ROW]
[ROW][C]187[/C][C]13.4[/C][C]11.8068[/C][C]1.59321[/C][/ROW]
[ROW][C]188[/C][C]13.9[/C][C]8.74391[/C][C]5.15609[/C][/ROW]
[ROW][C]189[/C][C]19.1[/C][C]16.4166[/C][C]2.68342[/C][/ROW]
[ROW][C]190[/C][C]15.25[/C][C]15.7646[/C][C]-0.514638[/C][/ROW]
[ROW][C]191[/C][C]12.9[/C][C]10.1406[/C][C]2.75939[/C][/ROW]
[ROW][C]192[/C][C]16.1[/C][C]12.0906[/C][C]4.00939[/C][/ROW]
[ROW][C]193[/C][C]17.35[/C][C]17.5406[/C][C]-0.190609[/C][/ROW]
[ROW][C]194[/C][C]13.15[/C][C]14.287[/C][C]-1.13704[/C][/ROW]
[ROW][C]195[/C][C]12.15[/C][C]11.5915[/C][C]0.558515[/C][/ROW]
[ROW][C]196[/C][C]12.6[/C][C]15.2915[/C][C]-2.69155[/C][/ROW]
[ROW][C]197[/C][C]10.35[/C][C]8.06975[/C][C]2.28025[/C][/ROW]
[ROW][C]198[/C][C]15.4[/C][C]19.1766[/C][C]-3.77657[/C][/ROW]
[ROW][C]199[/C][C]9.6[/C][C]3.79802[/C][C]5.80198[/C][/ROW]
[ROW][C]200[/C][C]18.2[/C][C]16.859[/C][C]1.34102[/C][/ROW]
[ROW][C]201[/C][C]13.6[/C][C]12.5771[/C][C]1.02292[/C][/ROW]
[ROW][C]202[/C][C]14.85[/C][C]12.6887[/C][C]2.16127[/C][/ROW]
[ROW][C]203[/C][C]14.75[/C][C]13.0378[/C][C]1.71221[/C][/ROW]
[ROW][C]204[/C][C]14.1[/C][C]11.6516[/C][C]2.44841[/C][/ROW]
[ROW][C]205[/C][C]14.9[/C][C]11.1237[/C][C]3.77625[/C][/ROW]
[ROW][C]206[/C][C]16.25[/C][C]9.98454[/C][C]6.26546[/C][/ROW]
[ROW][C]207[/C][C]19.25[/C][C]17.9861[/C][C]1.26386[/C][/ROW]
[ROW][C]208[/C][C]13.6[/C][C]12.2061[/C][C]1.39389[/C][/ROW]
[ROW][C]209[/C][C]13.6[/C][C]11.4808[/C][C]2.11917[/C][/ROW]
[ROW][C]210[/C][C]15.65[/C][C]16.0505[/C][C]-0.400535[/C][/ROW]
[ROW][C]211[/C][C]12.75[/C][C]11.7023[/C][C]1.04766[/C][/ROW]
[ROW][C]212[/C][C]14.6[/C][C]16.9527[/C][C]-2.35267[/C][/ROW]
[ROW][C]213[/C][C]9.85[/C][C]10.131[/C][C]-0.280964[/C][/ROW]
[ROW][C]214[/C][C]12.65[/C][C]13.4399[/C][C]-0.789879[/C][/ROW]
[ROW][C]215[/C][C]11.9[/C][C]4.92707[/C][C]6.97293[/C][/ROW]
[ROW][C]216[/C][C]19.2[/C][C]15.62[/C][C]3.57996[/C][/ROW]
[ROW][C]217[/C][C]16.6[/C][C]19.0557[/C][C]-2.45572[/C][/ROW]
[ROW][C]218[/C][C]11.2[/C][C]8.76134[/C][C]2.43866[/C][/ROW]
[ROW][C]219[/C][C]15.25[/C][C]15.733[/C][C]-0.482977[/C][/ROW]
[ROW][C]220[/C][C]11.9[/C][C]10.7258[/C][C]1.1742[/C][/ROW]
[ROW][C]221[/C][C]13.2[/C][C]9.60409[/C][C]3.59591[/C][/ROW]
[ROW][C]222[/C][C]16.35[/C][C]15.8151[/C][C]0.53492[/C][/ROW]
[ROW][C]223[/C][C]12.4[/C][C]9.4816[/C][C]2.9184[/C][/ROW]
[ROW][C]224[/C][C]15.85[/C][C]14.321[/C][C]1.52898[/C][/ROW]
[ROW][C]225[/C][C]14.35[/C][C]9.93632[/C][C]4.41368[/C][/ROW]
[ROW][C]226[/C][C]18.15[/C][C]20.1836[/C][C]-2.03356[/C][/ROW]
[ROW][C]227[/C][C]11.15[/C][C]8.66374[/C][C]2.48626[/C][/ROW]
[ROW][C]228[/C][C]15.65[/C][C]10.0177[/C][C]5.63233[/C][/ROW]
[ROW][C]229[/C][C]17.75[/C][C]22.3788[/C][C]-4.6288[/C][/ROW]
[ROW][C]230[/C][C]7.65[/C][C]8.45213[/C][C]-0.802134[/C][/ROW]
[ROW][C]231[/C][C]12.35[/C][C]9.03664[/C][C]3.31336[/C][/ROW]
[ROW][C]232[/C][C]15.6[/C][C]10.2522[/C][C]5.34778[/C][/ROW]
[ROW][C]233[/C][C]19.3[/C][C]17.1272[/C][C]2.17276[/C][/ROW]
[ROW][C]234[/C][C]15.2[/C][C]10.8247[/C][C]4.37526[/C][/ROW]
[ROW][C]235[/C][C]17.1[/C][C]15.3398[/C][C]1.76021[/C][/ROW]
[ROW][C]236[/C][C]15.6[/C][C]10.6567[/C][C]4.9433[/C][/ROW]
[ROW][C]237[/C][C]18.4[/C][C]12.5005[/C][C]5.89946[/C][/ROW]
[ROW][C]238[/C][C]19.05[/C][C]12.9414[/C][C]6.10864[/C][/ROW]
[ROW][C]239[/C][C]18.55[/C][C]12.3846[/C][C]6.16537[/C][/ROW]
[ROW][C]240[/C][C]19.1[/C][C]19.2184[/C][C]-0.118418[/C][/ROW]
[ROW][C]241[/C][C]13.1[/C][C]13.5425[/C][C]-0.442543[/C][/ROW]
[ROW][C]242[/C][C]12.85[/C][C]15.7914[/C][C]-2.94136[/C][/ROW]
[ROW][C]243[/C][C]9.5[/C][C]18.5175[/C][C]-9.01748[/C][/ROW]
[ROW][C]244[/C][C]4.5[/C][C]4.94344[/C][C]-0.443439[/C][/ROW]
[ROW][C]245[/C][C]11.85[/C][C]10.6408[/C][C]1.20918[/C][/ROW]
[ROW][C]246[/C][C]13.6[/C][C]14.2878[/C][C]-0.687788[/C][/ROW]
[ROW][C]247[/C][C]11.7[/C][C]11.9291[/C][C]-0.229104[/C][/ROW]
[ROW][C]248[/C][C]12.4[/C][C]12.2684[/C][C]0.131582[/C][/ROW]
[ROW][C]249[/C][C]13.35[/C][C]13.8338[/C][C]-0.483793[/C][/ROW]
[ROW][C]250[/C][C]11.4[/C][C]9.5621[/C][C]1.8379[/C][/ROW]
[ROW][C]251[/C][C]14.9[/C][C]9.04665[/C][C]5.85335[/C][/ROW]
[ROW][C]252[/C][C]19.9[/C][C]15.9898[/C][C]3.91021[/C][/ROW]
[ROW][C]253[/C][C]17.75[/C][C]19.4495[/C][C]-1.69954[/C][/ROW]
[ROW][C]254[/C][C]11.2[/C][C]9.12732[/C][C]2.07268[/C][/ROW]
[ROW][C]255[/C][C]14.6[/C][C]9.54787[/C][C]5.05213[/C][/ROW]
[ROW][C]256[/C][C]17.6[/C][C]16.5887[/C][C]1.01125[/C][/ROW]
[ROW][C]257[/C][C]14.05[/C][C]10.0864[/C][C]3.96361[/C][/ROW]
[ROW][C]258[/C][C]16.1[/C][C]15.2552[/C][C]0.844832[/C][/ROW]
[ROW][C]259[/C][C]13.35[/C][C]13.6015[/C][C]-0.251526[/C][/ROW]
[ROW][C]260[/C][C]11.85[/C][C]13.2461[/C][C]-1.39612[/C][/ROW]
[ROW][C]261[/C][C]11.95[/C][C]10.9941[/C][C]0.955939[/C][/ROW]
[ROW][C]262[/C][C]14.75[/C][C]12.1052[/C][C]2.64483[/C][/ROW]
[ROW][C]263[/C][C]15.15[/C][C]15.279[/C][C]-0.129003[/C][/ROW]
[ROW][C]264[/C][C]13.2[/C][C]9.63704[/C][C]3.56296[/C][/ROW]
[ROW][C]265[/C][C]16.85[/C][C]22.5558[/C][C]-5.70578[/C][/ROW]
[ROW][C]266[/C][C]7.85[/C][C]13.2423[/C][C]-5.39232[/C][/ROW]
[ROW][C]267[/C][C]7.7[/C][C]7.55944[/C][C]0.140564[/C][/ROW]
[ROW][C]268[/C][C]12.6[/C][C]16.5266[/C][C]-3.92665[/C][/ROW]
[ROW][C]269[/C][C]7.85[/C][C]9.89164[/C][C]-2.04164[/C][/ROW]
[ROW][C]270[/C][C]10.95[/C][C]11.9406[/C][C]-0.990609[/C][/ROW]
[ROW][C]271[/C][C]12.35[/C][C]15.064[/C][C]-2.71396[/C][/ROW]
[ROW][C]272[/C][C]9.95[/C][C]8.1121[/C][C]1.8379[/C][/ROW]
[ROW][C]273[/C][C]14.9[/C][C]11.7656[/C][C]3.13445[/C][/ROW]
[ROW][C]274[/C][C]16.65[/C][C]17.0747[/C][C]-0.42475[/C][/ROW]
[ROW][C]275[/C][C]13.4[/C][C]12.7504[/C][C]0.649615[/C][/ROW]
[ROW][C]276[/C][C]13.95[/C][C]9.9682[/C][C]3.9818[/C][/ROW]
[ROW][C]277[/C][C]15.7[/C][C]12.7655[/C][C]2.93448[/C][/ROW]
[ROW][C]278[/C][C]16.85[/C][C]19.6869[/C][C]-2.83686[/C][/ROW]
[ROW][C]279[/C][C]10.95[/C][C]7.85321[/C][C]3.09679[/C][/ROW]
[ROW][C]280[/C][C]15.35[/C][C]16.6559[/C][C]-1.30587[/C][/ROW]
[ROW][C]281[/C][C]12.2[/C][C]9.38064[/C][C]2.81936[/C][/ROW]
[ROW][C]282[/C][C]15.1[/C][C]10.3915[/C][C]4.70845[/C][/ROW]
[ROW][C]283[/C][C]17.75[/C][C]15.5694[/C][C]2.1806[/C][/ROW]
[ROW][C]284[/C][C]15.2[/C][C]14.1175[/C][C]1.08252[/C][/ROW]
[ROW][C]285[/C][C]14.6[/C][C]10.9772[/C][C]3.62276[/C][/ROW]
[ROW][C]286[/C][C]16.65[/C][C]21.7414[/C][C]-5.0914[/C][/ROW]
[ROW][C]287[/C][C]8.1[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=264766&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=264766&T=4

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


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

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
112.913.1692-0.269248
27.413.1836-5.78356
312.212.6693-0.469327
412.813.0194-0.219398
57.412.2184-4.81835
66.712.247-5.54697
712.612.44440.155607
814.813.67631.12373
913.313.6479-0.34788
1011.112.3289-1.22894
118.213.2611-5.06112
1211.413.6138-2.21375
136.412.5328-6.13283
1410.612.4095-1.80953
151213.0194-1.0194
166.312.7513-6.45129
1711.313.2925-1.99254
1811.912.9425-1.04247
199.312.3853-3.08531
209.612.4354-2.83545
211012.0607-2.06066
226.413.239-6.83897
2313.812.29341.50656
2410.812.2399-1.43986
2513.812.64721.15282
2611.713.6984-1.99842
2710.912.2109-1.31092
2816.112.56823.53182
2913.413.20410.195891
309.913.5523-3.65234
3111.513.2738-1.77383
328.312.3096-4.00959
3311.712.2248-0.524821
346.113.13-7.02998
35913.2263-4.22626
369.713.4346-3.73455
3710.813.5066-2.70661
3810.314.0594-3.75936
3910.412.6554-2.25542
4012.712.7175-0.0175381
419.313.4031-4.10313
4211.813.0415-1.24155
435.913.2611-7.36112
4411.413.3069-1.90685
451312.58090.419107
4610.813.6059-2.80591
4712.313.0007-0.700685
4811.313.4567-2.1567
4911.812.1142-0.314236
507.912.3133-4.41326
5112.711.84890.851068
5212.313.5209-1.22092
5311.613.779-2.17902
546.712.1569-5.45694
5510.913.7176-2.8176
5612.112.08720.0127832
5713.312.54070.759331
5810.113.471-3.37101
595.713.4988-7.79877
6014.312.01492.28507
61812.7439-4.74386
6213.312.91830.381747
639.313.4789-4.17885
6412.511.81750.682491
657.613.8211-6.22108
6615.913.43462.46545
679.212.2248-3.02482
689.113.7292-4.62921
6911.113.4301-2.33015
701313.3383-0.338276
7114.514.04850.451506
7212.212.2139-0.0139499
7312.312.404-0.104024
7411.413.2041-1.80411
758.812.7656-3.9656
7614.613.21841.38158
777.313.1836-5.88356
7812.612.34160.258351
79NANA0.352184
801313.7683-0.768268
8112.612.0550.544982
8213.215.4761-2.27606
839.914.305-4.40496
847.710.0683-2.36835
8510.59.388081.11192
8613.415.6648-2.26484
8710.919.0167-8.11673
884.37.20452-2.90452
8910.310.8897-0.589715
9011.813.7193-1.91934
9111.213.3523-2.15234
9211.416.1147-4.71469
938.66.999781.60022
9413.213.8075-0.607547
9512.619.6506-7.05061
965.67.40692-1.80692
979.913.7158-3.81575
988.812.8954-4.09536
997.710.4605-2.7605
100914.1576-5.1576
1017.39.59058-2.29058
10211.410.930.470017
10313.618.9533-5.35328
1047.910.6489-2.74886
10510.714.1719-3.47191
10610.314.3765-4.07651
1078.310.7685-2.4685
1089.67.433642.16636
10914.218.2755-4.07553
1108.57.267931.23207
11113.522.2142-8.71416
1124.911.6078-6.70783
1136.48.7265-2.3265
1149.611.2041-1.60411
11511.613.4123-1.81225
11611.119.0318-7.93183
1174.355.27917-0.929168
11812.77.776354.92365
11918.114.51933.58074
12017.8514.79313.05693
12116.616.01490.58507
12212.68.986063.61394
12317.111.68275.41726
12419.115.98453.11546
12516.114.81851.2815
12613.357.950695.39931
12718.417.16391.2361
12814.717.1007-2.40069
12910.69.918650.681346
13012.68.390944.20906
13116.214.70341.49664
13213.67.519186.08082
13318.918.21740.682562
13414.113.72720.372752
13514.510.71043.78964
13616.1514.4971.65304
13714.7513.12611.62388
13814.815.9415-1.14151
13912.4512.5702-0.120242
14012.658.840733.80927
14117.3522.1924-4.84239
1428.63.272975.32703
14318.415.882.52
14416.118.1719-2.07187
14511.66.784634.81537
14617.7514.88782.86221
14715.2510.90694.34315
14817.6514.39163.25835
14915.611.53184.06817
15016.3511.95774.39232
15117.6515.95291.69709
15213.614.3301-0.730084
15311.79.83711.8629
15414.3512.09842.25163
15514.7510.62724.12275
15618.2520.5605-2.31051
1579.97.740432.15957
1581611.12554.87453
15918.2513.33744.91263
16016.8515.99420.855843
16114.612.97481.62518
16213.858.903954.94605
16318.9516.42642.52359
16415.613.56112.03889
16514.8516.6691-1.81913
16611.756.786064.96394
16718.4515.90682.54324
16815.912.66823.23181
16917.114.7792.32098
17016.110.24675.85335
17119.921.9416-2.04164
17210.955.506695.44331
17318.4517.71550.734468
17415.113.44611.65388
1751516.7613-1.76127
17611.358.640572.70943
17715.9510.55865.39141
17818.117.23220.867819
17914.612.70591.89413
18015.413.50591.89413
18115.410.35875.04126
18217.617.09620.503804
18313.356.27587.0742
18419.116.7462.35395
18515.3520.0247-4.67473
1867.67.471990.128008
18713.411.80681.59321
18813.98.743915.15609
18919.116.41662.68342
19015.2515.7646-0.514638
19112.910.14062.75939
19216.112.09064.00939
19317.3517.5406-0.190609
19413.1514.287-1.13704
19512.1511.59150.558515
19612.615.2915-2.69155
19710.358.069752.28025
19815.419.1766-3.77657
1999.63.798025.80198
20018.216.8591.34102
20113.612.57711.02292
20214.8512.68872.16127
20314.7513.03781.71221
20414.111.65162.44841
20514.911.12373.77625
20616.259.984546.26546
20719.2517.98611.26386
20813.612.20611.39389
20913.611.48082.11917
21015.6516.0505-0.400535
21112.7511.70231.04766
21214.616.9527-2.35267
2139.8510.131-0.280964
21412.6513.4399-0.789879
21511.94.927076.97293
21619.215.623.57996
21716.619.0557-2.45572
21811.28.761342.43866
21915.2515.733-0.482977
22011.910.72581.1742
22113.29.604093.59591
22216.3515.81510.53492
22312.49.48162.9184
22415.8514.3211.52898
22514.359.936324.41368
22618.1520.1836-2.03356
22711.158.663742.48626
22815.6510.01775.63233
22917.7522.3788-4.6288
2307.658.45213-0.802134
23112.359.036643.31336
23215.610.25225.34778
23319.317.12722.17276
23415.210.82474.37526
23517.115.33981.76021
23615.610.65674.9433
23718.412.50055.89946
23819.0512.94146.10864
23918.5512.38466.16537
24019.119.2184-0.118418
24113.113.5425-0.442543
24212.8515.7914-2.94136
2439.518.5175-9.01748
2444.54.94344-0.443439
24511.8510.64081.20918
24613.614.2878-0.687788
24711.711.9291-0.229104
24812.412.26840.131582
24913.3513.8338-0.483793
25011.49.56211.8379
25114.99.046655.85335
25219.915.98983.91021
25317.7519.4495-1.69954
25411.29.127322.07268
25514.69.547875.05213
25617.616.58871.01125
25714.0510.08643.96361
25816.115.25520.844832
25913.3513.6015-0.251526
26011.8513.2461-1.39612
26111.9510.99410.955939
26214.7512.10522.64483
26315.1515.279-0.129003
26413.29.637043.56296
26516.8522.5558-5.70578
2667.8513.2423-5.39232
2677.77.559440.140564
26812.616.5266-3.92665
2697.859.89164-2.04164
27010.9511.9406-0.990609
27112.3515.064-2.71396
2729.958.11211.8379
27314.911.76563.13445
27416.6517.0747-0.42475
27513.412.75040.649615
27613.959.96823.9818
27715.712.76552.93448
27816.8519.6869-2.83686
27910.957.853213.09679
28015.3516.6559-1.30587
28112.29.380642.81936
28215.110.39154.70845
28317.7515.56942.1806
28415.214.11751.08252
28514.610.97723.62276
28616.6521.7414-5.0914
2878.1NANA






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
90.2585450.517090.741455
100.2978130.5956260.702187
110.2975270.5950530.702473
120.1916620.3833240.808338
130.4356380.8712760.564362
140.3317670.6635350.668233
150.2507170.5014340.749283
160.3143370.6286730.685663
170.2403280.4806550.759672
180.1797680.3595350.820232
190.1451850.2903690.854815
200.1022810.2045610.897719
210.07011770.1402350.929882
220.1250350.2500690.874965
230.1707970.3415930.829203
240.1365160.2730330.863484
250.1196070.2392150.880393
260.09664320.1932860.903357
270.08817320.1763460.911827
280.1594370.3188740.840563
290.1412330.2824670.858767
300.1243960.2487920.875604
310.09713580.1942720.902864
320.08161470.1632290.918385
330.06250710.1250140.937493
340.111950.2239010.88805
350.09735380.1947080.902646
360.08390620.1678120.916094
370.06549950.1309990.934501
380.05184260.1036850.948157
390.04188910.08377820.958111
400.0357220.0714440.964278
410.03022840.06045670.969772
420.02309460.04618930.976905
430.03871360.07742720.961286
440.0293990.0587980.970601
450.0256760.0513520.974324
460.0196140.0392280.980386
470.01619430.03238860.983806
480.01202360.02404710.987976
490.008700970.01740190.991299
500.009839290.01967860.990161
510.008124280.01624860.991876
520.006494950.01298990.993505
530.004792670.009585350.995207
540.006355070.01271010.993645
550.004725740.009451480.995274
560.003637620.007275240.996362
570.003679340.007358680.996321
580.002929350.005858690.997071
590.006631230.01326250.993369
600.008460910.01692180.991539
610.007468960.01493790.992531
620.006372020.0127440.993628
630.005802480.0116050.994198
640.004566540.009133070.995433
650.004997490.009994980.995003
660.0078770.0157540.992123
670.006919070.01383810.993081
680.006510870.01302170.993489
690.005241610.01048320.994758
700.004305280.008610560.995695
710.006607830.01321570.993392
720.005394260.01078850.994606
730.004233280.008466560.995767
740.003264810.006529620.996735
750.003158940.006317870.996841
760.003619660.007239330.99638
770.00545110.01090220.994549
780.004365840.008731680.995634
790.003387530.006775070.996612
800.002665190.005330380.997335
810.002209730.004419460.99779
820.001693660.003387320.998306
830.001774750.003549510.998225
840.001373530.002747050.998626
850.00119680.00239360.998803
860.0009372740.001874550.999063
870.003917150.00783430.996083
880.003277310.006554610.996723
890.002498990.004997980.997501
900.001967870.003935730.998032
910.001616510.003233020.998383
920.001829790.003659580.99817
930.001927970.003855940.998072
940.00168020.00336040.99832
950.003572950.007145910.996427
960.002856470.005712940.997144
970.002732330.005464660.997268
980.003098210.006196420.996902
990.00284140.005682790.997159
1000.004151740.008303480.995848
1010.003482450.006964890.996518
1020.003455770.006911530.996544
1030.004416490.008832980.995584
1040.003947180.007894370.996053
1050.003730060.007460130.99627
1060.004327750.00865550.995672
1070.00386230.00772460.996138
1080.00382370.007647410.996176
1090.004256570.008513140.995743
1100.00486840.00973680.995132
1110.01789670.03579350.982103
1120.03580060.07160120.964199
1130.03300910.06601830.966991
1140.02997610.05995210.970024
1150.02859260.05718530.971407
1160.07805150.1561030.921948
1170.07772480.155450.922275
1180.1453840.2907690.854616
1190.200740.4014790.79926
1200.2543270.5086550.745673
1210.2415730.4831460.758427
1220.2983890.5967770.701611
1230.4210870.8421730.578913
1240.4535810.9071620.546419
1250.4404210.8808420.559579
1260.5745820.8508360.425418
1270.5676160.8647680.432384
1280.5650110.8699780.434989
1290.5470430.9059140.452957
1300.5828130.8343750.417187
1310.5695470.8609070.430453
1320.6796870.6406260.320313
1330.6596250.680750.340375
1340.6403780.7192450.359622
1350.6574170.6851660.342583
1360.6540880.6918230.345912
1370.6582890.6834220.341711
1380.6334250.7331490.366575
1390.6193860.7612280.380614
1400.6489560.7020880.351044
1410.7024730.5950550.297527
1420.7615430.4769130.238457
1430.7583940.4832120.241606
1440.7506970.4986060.249303
1450.7846230.4307540.215377
1460.7879640.4240730.212036
1470.8113690.3772610.188631
1480.814580.3708410.18542
1490.8298440.3403130.170156
1500.8505760.2988490.149424
1510.8403220.3193560.159678
1520.82350.3529990.1765
1530.8098080.3803830.190192
1540.7989990.4020030.201001
1550.8152550.3694890.184745
1560.8120370.3759260.187963
1570.8006570.3986860.199343
1580.835620.328760.16438
1590.8577920.2844170.142208
1600.8394620.3210760.160538
1610.8214710.3570570.178529
1620.850030.299940.14997
1630.842850.3143010.15715
1640.8327170.3345670.167283
1650.8271890.3456230.172811
1660.8550920.2898150.144908
1670.8484810.3030380.151519
1680.8475010.3049980.152499
1690.8351010.3297990.164899
1700.8757960.2484080.124204
1710.8671840.2656330.132816
1720.8951080.2097830.104892
1730.8786610.2426790.121339
1740.8638190.2723610.136181
1750.8558390.2883220.144161
1760.8483090.3033810.151691
1770.874140.251720.12586
1780.8555260.2889480.144474
1790.8399510.3200980.160049
1800.8234270.3531460.176573
1810.8456570.3086850.154343
1820.8238660.3522670.176134
1830.8914890.2170230.108511
1840.8817150.2365690.118285
1850.9129570.1740860.0870432
1860.8977270.2045460.102273
1870.883660.2326810.11634
1880.9011540.1976910.0988455
1890.8929440.2141120.107056
1900.8754510.2490970.124549
1910.864780.270440.13522
1920.8671120.2657760.132888
1930.8479240.3041520.152076
1940.8354990.3290020.164501
1950.8116430.3767150.188357
1960.812420.3751590.18758
1970.7983140.4033720.201686
1980.8327140.3345720.167286
1990.8604370.2791250.139563
2000.8438420.3123170.156158
2010.8206060.3587870.179394
2020.8043220.3913570.195678
2030.7854120.4291760.214588
2040.7650980.4698050.234902
2050.7624720.4750560.237528
2060.8220420.3559150.177958
2070.7975670.4048660.202433
2080.7716670.4566660.228333
2090.7500080.4999850.249992
2100.7250420.5499150.274958
2110.6930610.6138790.306939
2120.6822270.6355470.317773
2130.6508540.6982910.349146
2140.6242460.7515070.375754
2150.6780430.6439130.321957
2160.6717330.6565340.328267
2170.6565960.6868080.343404
2180.6330290.7339420.366971
2190.6023060.7953880.397694
2200.5636790.8726410.436321
2210.5561440.8877110.443856
2220.5177410.9645190.482259
2230.498840.997680.50116
2240.4598950.9197890.540105
2250.4723710.9447420.527629
2260.4506470.9012930.549353
2270.4230520.8461040.576948
2280.4778540.9557090.522146
2290.5581750.883650.441825
2300.5169790.9660430.483021
2310.4977840.9955690.502216
2320.5101910.9796170.489809
2330.47650.9530010.5235
2340.4746590.9493180.525341
2350.4331020.8662030.566898
2360.4804690.9609380.519531
2370.5471190.9057610.452881
2380.6141820.7716350.385818
2390.7207460.5585080.279254
2400.6782650.6434690.321735
2410.6327410.7345180.367259
2420.6354420.7291160.364558
2430.9102730.1794550.0897273
2440.8908260.2183480.109174
2450.8677670.2644660.132233
2460.849240.301520.15076
2470.8154160.3691680.184584
2480.7777760.4444480.222224
2490.7416820.5166360.258318
2500.6969040.6061930.303096
2510.8222960.3554090.177704
2520.8239850.352030.176015
2530.8039290.3921410.196071
2540.7691780.4616450.230822
2550.7879630.4240740.212037
2560.7574730.4850540.242527
2570.7951790.4096420.204821
2580.7467490.5065010.253251
2590.6993210.6013580.300679
2600.6679020.6641960.332098
2610.6045220.7909570.395478
2620.547960.904080.45204
2630.4918740.9837480.508126
2640.4499610.8999230.550039
2650.7675150.4649690.232485
2660.7548320.4903360.245168
2670.6900790.6198410.309921
2680.8348750.330250.165125
2690.7999490.4001010.200051
2700.8196520.3606960.180348
2710.7786410.4427180.221359
2720.6937220.6125550.306278
2730.648080.7038410.35192
2740.5313260.9373480.468674
2750.4049720.8099440.595028
2760.304620.609240.69538
2770.3228760.6457520.677124
2780.3165660.6331330.683434

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
9 & 0.258545 & 0.51709 & 0.741455 \tabularnewline
10 & 0.297813 & 0.595626 & 0.702187 \tabularnewline
11 & 0.297527 & 0.595053 & 0.702473 \tabularnewline
12 & 0.191662 & 0.383324 & 0.808338 \tabularnewline
13 & 0.435638 & 0.871276 & 0.564362 \tabularnewline
14 & 0.331767 & 0.663535 & 0.668233 \tabularnewline
15 & 0.250717 & 0.501434 & 0.749283 \tabularnewline
16 & 0.314337 & 0.628673 & 0.685663 \tabularnewline
17 & 0.240328 & 0.480655 & 0.759672 \tabularnewline
18 & 0.179768 & 0.359535 & 0.820232 \tabularnewline
19 & 0.145185 & 0.290369 & 0.854815 \tabularnewline
20 & 0.102281 & 0.204561 & 0.897719 \tabularnewline
21 & 0.0701177 & 0.140235 & 0.929882 \tabularnewline
22 & 0.125035 & 0.250069 & 0.874965 \tabularnewline
23 & 0.170797 & 0.341593 & 0.829203 \tabularnewline
24 & 0.136516 & 0.273033 & 0.863484 \tabularnewline
25 & 0.119607 & 0.239215 & 0.880393 \tabularnewline
26 & 0.0966432 & 0.193286 & 0.903357 \tabularnewline
27 & 0.0881732 & 0.176346 & 0.911827 \tabularnewline
28 & 0.159437 & 0.318874 & 0.840563 \tabularnewline
29 & 0.141233 & 0.282467 & 0.858767 \tabularnewline
30 & 0.124396 & 0.248792 & 0.875604 \tabularnewline
31 & 0.0971358 & 0.194272 & 0.902864 \tabularnewline
32 & 0.0816147 & 0.163229 & 0.918385 \tabularnewline
33 & 0.0625071 & 0.125014 & 0.937493 \tabularnewline
34 & 0.11195 & 0.223901 & 0.88805 \tabularnewline
35 & 0.0973538 & 0.194708 & 0.902646 \tabularnewline
36 & 0.0839062 & 0.167812 & 0.916094 \tabularnewline
37 & 0.0654995 & 0.130999 & 0.934501 \tabularnewline
38 & 0.0518426 & 0.103685 & 0.948157 \tabularnewline
39 & 0.0418891 & 0.0837782 & 0.958111 \tabularnewline
40 & 0.035722 & 0.071444 & 0.964278 \tabularnewline
41 & 0.0302284 & 0.0604567 & 0.969772 \tabularnewline
42 & 0.0230946 & 0.0461893 & 0.976905 \tabularnewline
43 & 0.0387136 & 0.0774272 & 0.961286 \tabularnewline
44 & 0.029399 & 0.058798 & 0.970601 \tabularnewline
45 & 0.025676 & 0.051352 & 0.974324 \tabularnewline
46 & 0.019614 & 0.039228 & 0.980386 \tabularnewline
47 & 0.0161943 & 0.0323886 & 0.983806 \tabularnewline
48 & 0.0120236 & 0.0240471 & 0.987976 \tabularnewline
49 & 0.00870097 & 0.0174019 & 0.991299 \tabularnewline
50 & 0.00983929 & 0.0196786 & 0.990161 \tabularnewline
51 & 0.00812428 & 0.0162486 & 0.991876 \tabularnewline
52 & 0.00649495 & 0.0129899 & 0.993505 \tabularnewline
53 & 0.00479267 & 0.00958535 & 0.995207 \tabularnewline
54 & 0.00635507 & 0.0127101 & 0.993645 \tabularnewline
55 & 0.00472574 & 0.00945148 & 0.995274 \tabularnewline
56 & 0.00363762 & 0.00727524 & 0.996362 \tabularnewline
57 & 0.00367934 & 0.00735868 & 0.996321 \tabularnewline
58 & 0.00292935 & 0.00585869 & 0.997071 \tabularnewline
59 & 0.00663123 & 0.0132625 & 0.993369 \tabularnewline
60 & 0.00846091 & 0.0169218 & 0.991539 \tabularnewline
61 & 0.00746896 & 0.0149379 & 0.992531 \tabularnewline
62 & 0.00637202 & 0.012744 & 0.993628 \tabularnewline
63 & 0.00580248 & 0.011605 & 0.994198 \tabularnewline
64 & 0.00456654 & 0.00913307 & 0.995433 \tabularnewline
65 & 0.00499749 & 0.00999498 & 0.995003 \tabularnewline
66 & 0.007877 & 0.015754 & 0.992123 \tabularnewline
67 & 0.00691907 & 0.0138381 & 0.993081 \tabularnewline
68 & 0.00651087 & 0.0130217 & 0.993489 \tabularnewline
69 & 0.00524161 & 0.0104832 & 0.994758 \tabularnewline
70 & 0.00430528 & 0.00861056 & 0.995695 \tabularnewline
71 & 0.00660783 & 0.0132157 & 0.993392 \tabularnewline
72 & 0.00539426 & 0.0107885 & 0.994606 \tabularnewline
73 & 0.00423328 & 0.00846656 & 0.995767 \tabularnewline
74 & 0.00326481 & 0.00652962 & 0.996735 \tabularnewline
75 & 0.00315894 & 0.00631787 & 0.996841 \tabularnewline
76 & 0.00361966 & 0.00723933 & 0.99638 \tabularnewline
77 & 0.0054511 & 0.0109022 & 0.994549 \tabularnewline
78 & 0.00436584 & 0.00873168 & 0.995634 \tabularnewline
79 & 0.00338753 & 0.00677507 & 0.996612 \tabularnewline
80 & 0.00266519 & 0.00533038 & 0.997335 \tabularnewline
81 & 0.00220973 & 0.00441946 & 0.99779 \tabularnewline
82 & 0.00169366 & 0.00338732 & 0.998306 \tabularnewline
83 & 0.00177475 & 0.00354951 & 0.998225 \tabularnewline
84 & 0.00137353 & 0.00274705 & 0.998626 \tabularnewline
85 & 0.0011968 & 0.0023936 & 0.998803 \tabularnewline
86 & 0.000937274 & 0.00187455 & 0.999063 \tabularnewline
87 & 0.00391715 & 0.0078343 & 0.996083 \tabularnewline
88 & 0.00327731 & 0.00655461 & 0.996723 \tabularnewline
89 & 0.00249899 & 0.00499798 & 0.997501 \tabularnewline
90 & 0.00196787 & 0.00393573 & 0.998032 \tabularnewline
91 & 0.00161651 & 0.00323302 & 0.998383 \tabularnewline
92 & 0.00182979 & 0.00365958 & 0.99817 \tabularnewline
93 & 0.00192797 & 0.00385594 & 0.998072 \tabularnewline
94 & 0.0016802 & 0.0033604 & 0.99832 \tabularnewline
95 & 0.00357295 & 0.00714591 & 0.996427 \tabularnewline
96 & 0.00285647 & 0.00571294 & 0.997144 \tabularnewline
97 & 0.00273233 & 0.00546466 & 0.997268 \tabularnewline
98 & 0.00309821 & 0.00619642 & 0.996902 \tabularnewline
99 & 0.0028414 & 0.00568279 & 0.997159 \tabularnewline
100 & 0.00415174 & 0.00830348 & 0.995848 \tabularnewline
101 & 0.00348245 & 0.00696489 & 0.996518 \tabularnewline
102 & 0.00345577 & 0.00691153 & 0.996544 \tabularnewline
103 & 0.00441649 & 0.00883298 & 0.995584 \tabularnewline
104 & 0.00394718 & 0.00789437 & 0.996053 \tabularnewline
105 & 0.00373006 & 0.00746013 & 0.99627 \tabularnewline
106 & 0.00432775 & 0.0086555 & 0.995672 \tabularnewline
107 & 0.0038623 & 0.0077246 & 0.996138 \tabularnewline
108 & 0.0038237 & 0.00764741 & 0.996176 \tabularnewline
109 & 0.00425657 & 0.00851314 & 0.995743 \tabularnewline
110 & 0.0048684 & 0.0097368 & 0.995132 \tabularnewline
111 & 0.0178967 & 0.0357935 & 0.982103 \tabularnewline
112 & 0.0358006 & 0.0716012 & 0.964199 \tabularnewline
113 & 0.0330091 & 0.0660183 & 0.966991 \tabularnewline
114 & 0.0299761 & 0.0599521 & 0.970024 \tabularnewline
115 & 0.0285926 & 0.0571853 & 0.971407 \tabularnewline
116 & 0.0780515 & 0.156103 & 0.921948 \tabularnewline
117 & 0.0777248 & 0.15545 & 0.922275 \tabularnewline
118 & 0.145384 & 0.290769 & 0.854616 \tabularnewline
119 & 0.20074 & 0.401479 & 0.79926 \tabularnewline
120 & 0.254327 & 0.508655 & 0.745673 \tabularnewline
121 & 0.241573 & 0.483146 & 0.758427 \tabularnewline
122 & 0.298389 & 0.596777 & 0.701611 \tabularnewline
123 & 0.421087 & 0.842173 & 0.578913 \tabularnewline
124 & 0.453581 & 0.907162 & 0.546419 \tabularnewline
125 & 0.440421 & 0.880842 & 0.559579 \tabularnewline
126 & 0.574582 & 0.850836 & 0.425418 \tabularnewline
127 & 0.567616 & 0.864768 & 0.432384 \tabularnewline
128 & 0.565011 & 0.869978 & 0.434989 \tabularnewline
129 & 0.547043 & 0.905914 & 0.452957 \tabularnewline
130 & 0.582813 & 0.834375 & 0.417187 \tabularnewline
131 & 0.569547 & 0.860907 & 0.430453 \tabularnewline
132 & 0.679687 & 0.640626 & 0.320313 \tabularnewline
133 & 0.659625 & 0.68075 & 0.340375 \tabularnewline
134 & 0.640378 & 0.719245 & 0.359622 \tabularnewline
135 & 0.657417 & 0.685166 & 0.342583 \tabularnewline
136 & 0.654088 & 0.691823 & 0.345912 \tabularnewline
137 & 0.658289 & 0.683422 & 0.341711 \tabularnewline
138 & 0.633425 & 0.733149 & 0.366575 \tabularnewline
139 & 0.619386 & 0.761228 & 0.380614 \tabularnewline
140 & 0.648956 & 0.702088 & 0.351044 \tabularnewline
141 & 0.702473 & 0.595055 & 0.297527 \tabularnewline
142 & 0.761543 & 0.476913 & 0.238457 \tabularnewline
143 & 0.758394 & 0.483212 & 0.241606 \tabularnewline
144 & 0.750697 & 0.498606 & 0.249303 \tabularnewline
145 & 0.784623 & 0.430754 & 0.215377 \tabularnewline
146 & 0.787964 & 0.424073 & 0.212036 \tabularnewline
147 & 0.811369 & 0.377261 & 0.188631 \tabularnewline
148 & 0.81458 & 0.370841 & 0.18542 \tabularnewline
149 & 0.829844 & 0.340313 & 0.170156 \tabularnewline
150 & 0.850576 & 0.298849 & 0.149424 \tabularnewline
151 & 0.840322 & 0.319356 & 0.159678 \tabularnewline
152 & 0.8235 & 0.352999 & 0.1765 \tabularnewline
153 & 0.809808 & 0.380383 & 0.190192 \tabularnewline
154 & 0.798999 & 0.402003 & 0.201001 \tabularnewline
155 & 0.815255 & 0.369489 & 0.184745 \tabularnewline
156 & 0.812037 & 0.375926 & 0.187963 \tabularnewline
157 & 0.800657 & 0.398686 & 0.199343 \tabularnewline
158 & 0.83562 & 0.32876 & 0.16438 \tabularnewline
159 & 0.857792 & 0.284417 & 0.142208 \tabularnewline
160 & 0.839462 & 0.321076 & 0.160538 \tabularnewline
161 & 0.821471 & 0.357057 & 0.178529 \tabularnewline
162 & 0.85003 & 0.29994 & 0.14997 \tabularnewline
163 & 0.84285 & 0.314301 & 0.15715 \tabularnewline
164 & 0.832717 & 0.334567 & 0.167283 \tabularnewline
165 & 0.827189 & 0.345623 & 0.172811 \tabularnewline
166 & 0.855092 & 0.289815 & 0.144908 \tabularnewline
167 & 0.848481 & 0.303038 & 0.151519 \tabularnewline
168 & 0.847501 & 0.304998 & 0.152499 \tabularnewline
169 & 0.835101 & 0.329799 & 0.164899 \tabularnewline
170 & 0.875796 & 0.248408 & 0.124204 \tabularnewline
171 & 0.867184 & 0.265633 & 0.132816 \tabularnewline
172 & 0.895108 & 0.209783 & 0.104892 \tabularnewline
173 & 0.878661 & 0.242679 & 0.121339 \tabularnewline
174 & 0.863819 & 0.272361 & 0.136181 \tabularnewline
175 & 0.855839 & 0.288322 & 0.144161 \tabularnewline
176 & 0.848309 & 0.303381 & 0.151691 \tabularnewline
177 & 0.87414 & 0.25172 & 0.12586 \tabularnewline
178 & 0.855526 & 0.288948 & 0.144474 \tabularnewline
179 & 0.839951 & 0.320098 & 0.160049 \tabularnewline
180 & 0.823427 & 0.353146 & 0.176573 \tabularnewline
181 & 0.845657 & 0.308685 & 0.154343 \tabularnewline
182 & 0.823866 & 0.352267 & 0.176134 \tabularnewline
183 & 0.891489 & 0.217023 & 0.108511 \tabularnewline
184 & 0.881715 & 0.236569 & 0.118285 \tabularnewline
185 & 0.912957 & 0.174086 & 0.0870432 \tabularnewline
186 & 0.897727 & 0.204546 & 0.102273 \tabularnewline
187 & 0.88366 & 0.232681 & 0.11634 \tabularnewline
188 & 0.901154 & 0.197691 & 0.0988455 \tabularnewline
189 & 0.892944 & 0.214112 & 0.107056 \tabularnewline
190 & 0.875451 & 0.249097 & 0.124549 \tabularnewline
191 & 0.86478 & 0.27044 & 0.13522 \tabularnewline
192 & 0.867112 & 0.265776 & 0.132888 \tabularnewline
193 & 0.847924 & 0.304152 & 0.152076 \tabularnewline
194 & 0.835499 & 0.329002 & 0.164501 \tabularnewline
195 & 0.811643 & 0.376715 & 0.188357 \tabularnewline
196 & 0.81242 & 0.375159 & 0.18758 \tabularnewline
197 & 0.798314 & 0.403372 & 0.201686 \tabularnewline
198 & 0.832714 & 0.334572 & 0.167286 \tabularnewline
199 & 0.860437 & 0.279125 & 0.139563 \tabularnewline
200 & 0.843842 & 0.312317 & 0.156158 \tabularnewline
201 & 0.820606 & 0.358787 & 0.179394 \tabularnewline
202 & 0.804322 & 0.391357 & 0.195678 \tabularnewline
203 & 0.785412 & 0.429176 & 0.214588 \tabularnewline
204 & 0.765098 & 0.469805 & 0.234902 \tabularnewline
205 & 0.762472 & 0.475056 & 0.237528 \tabularnewline
206 & 0.822042 & 0.355915 & 0.177958 \tabularnewline
207 & 0.797567 & 0.404866 & 0.202433 \tabularnewline
208 & 0.771667 & 0.456666 & 0.228333 \tabularnewline
209 & 0.750008 & 0.499985 & 0.249992 \tabularnewline
210 & 0.725042 & 0.549915 & 0.274958 \tabularnewline
211 & 0.693061 & 0.613879 & 0.306939 \tabularnewline
212 & 0.682227 & 0.635547 & 0.317773 \tabularnewline
213 & 0.650854 & 0.698291 & 0.349146 \tabularnewline
214 & 0.624246 & 0.751507 & 0.375754 \tabularnewline
215 & 0.678043 & 0.643913 & 0.321957 \tabularnewline
216 & 0.671733 & 0.656534 & 0.328267 \tabularnewline
217 & 0.656596 & 0.686808 & 0.343404 \tabularnewline
218 & 0.633029 & 0.733942 & 0.366971 \tabularnewline
219 & 0.602306 & 0.795388 & 0.397694 \tabularnewline
220 & 0.563679 & 0.872641 & 0.436321 \tabularnewline
221 & 0.556144 & 0.887711 & 0.443856 \tabularnewline
222 & 0.517741 & 0.964519 & 0.482259 \tabularnewline
223 & 0.49884 & 0.99768 & 0.50116 \tabularnewline
224 & 0.459895 & 0.919789 & 0.540105 \tabularnewline
225 & 0.472371 & 0.944742 & 0.527629 \tabularnewline
226 & 0.450647 & 0.901293 & 0.549353 \tabularnewline
227 & 0.423052 & 0.846104 & 0.576948 \tabularnewline
228 & 0.477854 & 0.955709 & 0.522146 \tabularnewline
229 & 0.558175 & 0.88365 & 0.441825 \tabularnewline
230 & 0.516979 & 0.966043 & 0.483021 \tabularnewline
231 & 0.497784 & 0.995569 & 0.502216 \tabularnewline
232 & 0.510191 & 0.979617 & 0.489809 \tabularnewline
233 & 0.4765 & 0.953001 & 0.5235 \tabularnewline
234 & 0.474659 & 0.949318 & 0.525341 \tabularnewline
235 & 0.433102 & 0.866203 & 0.566898 \tabularnewline
236 & 0.480469 & 0.960938 & 0.519531 \tabularnewline
237 & 0.547119 & 0.905761 & 0.452881 \tabularnewline
238 & 0.614182 & 0.771635 & 0.385818 \tabularnewline
239 & 0.720746 & 0.558508 & 0.279254 \tabularnewline
240 & 0.678265 & 0.643469 & 0.321735 \tabularnewline
241 & 0.632741 & 0.734518 & 0.367259 \tabularnewline
242 & 0.635442 & 0.729116 & 0.364558 \tabularnewline
243 & 0.910273 & 0.179455 & 0.0897273 \tabularnewline
244 & 0.890826 & 0.218348 & 0.109174 \tabularnewline
245 & 0.867767 & 0.264466 & 0.132233 \tabularnewline
246 & 0.84924 & 0.30152 & 0.15076 \tabularnewline
247 & 0.815416 & 0.369168 & 0.184584 \tabularnewline
248 & 0.777776 & 0.444448 & 0.222224 \tabularnewline
249 & 0.741682 & 0.516636 & 0.258318 \tabularnewline
250 & 0.696904 & 0.606193 & 0.303096 \tabularnewline
251 & 0.822296 & 0.355409 & 0.177704 \tabularnewline
252 & 0.823985 & 0.35203 & 0.176015 \tabularnewline
253 & 0.803929 & 0.392141 & 0.196071 \tabularnewline
254 & 0.769178 & 0.461645 & 0.230822 \tabularnewline
255 & 0.787963 & 0.424074 & 0.212037 \tabularnewline
256 & 0.757473 & 0.485054 & 0.242527 \tabularnewline
257 & 0.795179 & 0.409642 & 0.204821 \tabularnewline
258 & 0.746749 & 0.506501 & 0.253251 \tabularnewline
259 & 0.699321 & 0.601358 & 0.300679 \tabularnewline
260 & 0.667902 & 0.664196 & 0.332098 \tabularnewline
261 & 0.604522 & 0.790957 & 0.395478 \tabularnewline
262 & 0.54796 & 0.90408 & 0.45204 \tabularnewline
263 & 0.491874 & 0.983748 & 0.508126 \tabularnewline
264 & 0.449961 & 0.899923 & 0.550039 \tabularnewline
265 & 0.767515 & 0.464969 & 0.232485 \tabularnewline
266 & 0.754832 & 0.490336 & 0.245168 \tabularnewline
267 & 0.690079 & 0.619841 & 0.309921 \tabularnewline
268 & 0.834875 & 0.33025 & 0.165125 \tabularnewline
269 & 0.799949 & 0.400101 & 0.200051 \tabularnewline
270 & 0.819652 & 0.360696 & 0.180348 \tabularnewline
271 & 0.778641 & 0.442718 & 0.221359 \tabularnewline
272 & 0.693722 & 0.612555 & 0.306278 \tabularnewline
273 & 0.64808 & 0.703841 & 0.35192 \tabularnewline
274 & 0.531326 & 0.937348 & 0.468674 \tabularnewline
275 & 0.404972 & 0.809944 & 0.595028 \tabularnewline
276 & 0.30462 & 0.60924 & 0.69538 \tabularnewline
277 & 0.322876 & 0.645752 & 0.677124 \tabularnewline
278 & 0.316566 & 0.633133 & 0.683434 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=264766&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]0.258545[/C][C]0.51709[/C][C]0.741455[/C][/ROW]
[ROW][C]10[/C][C]0.297813[/C][C]0.595626[/C][C]0.702187[/C][/ROW]
[ROW][C]11[/C][C]0.297527[/C][C]0.595053[/C][C]0.702473[/C][/ROW]
[ROW][C]12[/C][C]0.191662[/C][C]0.383324[/C][C]0.808338[/C][/ROW]
[ROW][C]13[/C][C]0.435638[/C][C]0.871276[/C][C]0.564362[/C][/ROW]
[ROW][C]14[/C][C]0.331767[/C][C]0.663535[/C][C]0.668233[/C][/ROW]
[ROW][C]15[/C][C]0.250717[/C][C]0.501434[/C][C]0.749283[/C][/ROW]
[ROW][C]16[/C][C]0.314337[/C][C]0.628673[/C][C]0.685663[/C][/ROW]
[ROW][C]17[/C][C]0.240328[/C][C]0.480655[/C][C]0.759672[/C][/ROW]
[ROW][C]18[/C][C]0.179768[/C][C]0.359535[/C][C]0.820232[/C][/ROW]
[ROW][C]19[/C][C]0.145185[/C][C]0.290369[/C][C]0.854815[/C][/ROW]
[ROW][C]20[/C][C]0.102281[/C][C]0.204561[/C][C]0.897719[/C][/ROW]
[ROW][C]21[/C][C]0.0701177[/C][C]0.140235[/C][C]0.929882[/C][/ROW]
[ROW][C]22[/C][C]0.125035[/C][C]0.250069[/C][C]0.874965[/C][/ROW]
[ROW][C]23[/C][C]0.170797[/C][C]0.341593[/C][C]0.829203[/C][/ROW]
[ROW][C]24[/C][C]0.136516[/C][C]0.273033[/C][C]0.863484[/C][/ROW]
[ROW][C]25[/C][C]0.119607[/C][C]0.239215[/C][C]0.880393[/C][/ROW]
[ROW][C]26[/C][C]0.0966432[/C][C]0.193286[/C][C]0.903357[/C][/ROW]
[ROW][C]27[/C][C]0.0881732[/C][C]0.176346[/C][C]0.911827[/C][/ROW]
[ROW][C]28[/C][C]0.159437[/C][C]0.318874[/C][C]0.840563[/C][/ROW]
[ROW][C]29[/C][C]0.141233[/C][C]0.282467[/C][C]0.858767[/C][/ROW]
[ROW][C]30[/C][C]0.124396[/C][C]0.248792[/C][C]0.875604[/C][/ROW]
[ROW][C]31[/C][C]0.0971358[/C][C]0.194272[/C][C]0.902864[/C][/ROW]
[ROW][C]32[/C][C]0.0816147[/C][C]0.163229[/C][C]0.918385[/C][/ROW]
[ROW][C]33[/C][C]0.0625071[/C][C]0.125014[/C][C]0.937493[/C][/ROW]
[ROW][C]34[/C][C]0.11195[/C][C]0.223901[/C][C]0.88805[/C][/ROW]
[ROW][C]35[/C][C]0.0973538[/C][C]0.194708[/C][C]0.902646[/C][/ROW]
[ROW][C]36[/C][C]0.0839062[/C][C]0.167812[/C][C]0.916094[/C][/ROW]
[ROW][C]37[/C][C]0.0654995[/C][C]0.130999[/C][C]0.934501[/C][/ROW]
[ROW][C]38[/C][C]0.0518426[/C][C]0.103685[/C][C]0.948157[/C][/ROW]
[ROW][C]39[/C][C]0.0418891[/C][C]0.0837782[/C][C]0.958111[/C][/ROW]
[ROW][C]40[/C][C]0.035722[/C][C]0.071444[/C][C]0.964278[/C][/ROW]
[ROW][C]41[/C][C]0.0302284[/C][C]0.0604567[/C][C]0.969772[/C][/ROW]
[ROW][C]42[/C][C]0.0230946[/C][C]0.0461893[/C][C]0.976905[/C][/ROW]
[ROW][C]43[/C][C]0.0387136[/C][C]0.0774272[/C][C]0.961286[/C][/ROW]
[ROW][C]44[/C][C]0.029399[/C][C]0.058798[/C][C]0.970601[/C][/ROW]
[ROW][C]45[/C][C]0.025676[/C][C]0.051352[/C][C]0.974324[/C][/ROW]
[ROW][C]46[/C][C]0.019614[/C][C]0.039228[/C][C]0.980386[/C][/ROW]
[ROW][C]47[/C][C]0.0161943[/C][C]0.0323886[/C][C]0.983806[/C][/ROW]
[ROW][C]48[/C][C]0.0120236[/C][C]0.0240471[/C][C]0.987976[/C][/ROW]
[ROW][C]49[/C][C]0.00870097[/C][C]0.0174019[/C][C]0.991299[/C][/ROW]
[ROW][C]50[/C][C]0.00983929[/C][C]0.0196786[/C][C]0.990161[/C][/ROW]
[ROW][C]51[/C][C]0.00812428[/C][C]0.0162486[/C][C]0.991876[/C][/ROW]
[ROW][C]52[/C][C]0.00649495[/C][C]0.0129899[/C][C]0.993505[/C][/ROW]
[ROW][C]53[/C][C]0.00479267[/C][C]0.00958535[/C][C]0.995207[/C][/ROW]
[ROW][C]54[/C][C]0.00635507[/C][C]0.0127101[/C][C]0.993645[/C][/ROW]
[ROW][C]55[/C][C]0.00472574[/C][C]0.00945148[/C][C]0.995274[/C][/ROW]
[ROW][C]56[/C][C]0.00363762[/C][C]0.00727524[/C][C]0.996362[/C][/ROW]
[ROW][C]57[/C][C]0.00367934[/C][C]0.00735868[/C][C]0.996321[/C][/ROW]
[ROW][C]58[/C][C]0.00292935[/C][C]0.00585869[/C][C]0.997071[/C][/ROW]
[ROW][C]59[/C][C]0.00663123[/C][C]0.0132625[/C][C]0.993369[/C][/ROW]
[ROW][C]60[/C][C]0.00846091[/C][C]0.0169218[/C][C]0.991539[/C][/ROW]
[ROW][C]61[/C][C]0.00746896[/C][C]0.0149379[/C][C]0.992531[/C][/ROW]
[ROW][C]62[/C][C]0.00637202[/C][C]0.012744[/C][C]0.993628[/C][/ROW]
[ROW][C]63[/C][C]0.00580248[/C][C]0.011605[/C][C]0.994198[/C][/ROW]
[ROW][C]64[/C][C]0.00456654[/C][C]0.00913307[/C][C]0.995433[/C][/ROW]
[ROW][C]65[/C][C]0.00499749[/C][C]0.00999498[/C][C]0.995003[/C][/ROW]
[ROW][C]66[/C][C]0.007877[/C][C]0.015754[/C][C]0.992123[/C][/ROW]
[ROW][C]67[/C][C]0.00691907[/C][C]0.0138381[/C][C]0.993081[/C][/ROW]
[ROW][C]68[/C][C]0.00651087[/C][C]0.0130217[/C][C]0.993489[/C][/ROW]
[ROW][C]69[/C][C]0.00524161[/C][C]0.0104832[/C][C]0.994758[/C][/ROW]
[ROW][C]70[/C][C]0.00430528[/C][C]0.00861056[/C][C]0.995695[/C][/ROW]
[ROW][C]71[/C][C]0.00660783[/C][C]0.0132157[/C][C]0.993392[/C][/ROW]
[ROW][C]72[/C][C]0.00539426[/C][C]0.0107885[/C][C]0.994606[/C][/ROW]
[ROW][C]73[/C][C]0.00423328[/C][C]0.00846656[/C][C]0.995767[/C][/ROW]
[ROW][C]74[/C][C]0.00326481[/C][C]0.00652962[/C][C]0.996735[/C][/ROW]
[ROW][C]75[/C][C]0.00315894[/C][C]0.00631787[/C][C]0.996841[/C][/ROW]
[ROW][C]76[/C][C]0.00361966[/C][C]0.00723933[/C][C]0.99638[/C][/ROW]
[ROW][C]77[/C][C]0.0054511[/C][C]0.0109022[/C][C]0.994549[/C][/ROW]
[ROW][C]78[/C][C]0.00436584[/C][C]0.00873168[/C][C]0.995634[/C][/ROW]
[ROW][C]79[/C][C]0.00338753[/C][C]0.00677507[/C][C]0.996612[/C][/ROW]
[ROW][C]80[/C][C]0.00266519[/C][C]0.00533038[/C][C]0.997335[/C][/ROW]
[ROW][C]81[/C][C]0.00220973[/C][C]0.00441946[/C][C]0.99779[/C][/ROW]
[ROW][C]82[/C][C]0.00169366[/C][C]0.00338732[/C][C]0.998306[/C][/ROW]
[ROW][C]83[/C][C]0.00177475[/C][C]0.00354951[/C][C]0.998225[/C][/ROW]
[ROW][C]84[/C][C]0.00137353[/C][C]0.00274705[/C][C]0.998626[/C][/ROW]
[ROW][C]85[/C][C]0.0011968[/C][C]0.0023936[/C][C]0.998803[/C][/ROW]
[ROW][C]86[/C][C]0.000937274[/C][C]0.00187455[/C][C]0.999063[/C][/ROW]
[ROW][C]87[/C][C]0.00391715[/C][C]0.0078343[/C][C]0.996083[/C][/ROW]
[ROW][C]88[/C][C]0.00327731[/C][C]0.00655461[/C][C]0.996723[/C][/ROW]
[ROW][C]89[/C][C]0.00249899[/C][C]0.00499798[/C][C]0.997501[/C][/ROW]
[ROW][C]90[/C][C]0.00196787[/C][C]0.00393573[/C][C]0.998032[/C][/ROW]
[ROW][C]91[/C][C]0.00161651[/C][C]0.00323302[/C][C]0.998383[/C][/ROW]
[ROW][C]92[/C][C]0.00182979[/C][C]0.00365958[/C][C]0.99817[/C][/ROW]
[ROW][C]93[/C][C]0.00192797[/C][C]0.00385594[/C][C]0.998072[/C][/ROW]
[ROW][C]94[/C][C]0.0016802[/C][C]0.0033604[/C][C]0.99832[/C][/ROW]
[ROW][C]95[/C][C]0.00357295[/C][C]0.00714591[/C][C]0.996427[/C][/ROW]
[ROW][C]96[/C][C]0.00285647[/C][C]0.00571294[/C][C]0.997144[/C][/ROW]
[ROW][C]97[/C][C]0.00273233[/C][C]0.00546466[/C][C]0.997268[/C][/ROW]
[ROW][C]98[/C][C]0.00309821[/C][C]0.00619642[/C][C]0.996902[/C][/ROW]
[ROW][C]99[/C][C]0.0028414[/C][C]0.00568279[/C][C]0.997159[/C][/ROW]
[ROW][C]100[/C][C]0.00415174[/C][C]0.00830348[/C][C]0.995848[/C][/ROW]
[ROW][C]101[/C][C]0.00348245[/C][C]0.00696489[/C][C]0.996518[/C][/ROW]
[ROW][C]102[/C][C]0.00345577[/C][C]0.00691153[/C][C]0.996544[/C][/ROW]
[ROW][C]103[/C][C]0.00441649[/C][C]0.00883298[/C][C]0.995584[/C][/ROW]
[ROW][C]104[/C][C]0.00394718[/C][C]0.00789437[/C][C]0.996053[/C][/ROW]
[ROW][C]105[/C][C]0.00373006[/C][C]0.00746013[/C][C]0.99627[/C][/ROW]
[ROW][C]106[/C][C]0.00432775[/C][C]0.0086555[/C][C]0.995672[/C][/ROW]
[ROW][C]107[/C][C]0.0038623[/C][C]0.0077246[/C][C]0.996138[/C][/ROW]
[ROW][C]108[/C][C]0.0038237[/C][C]0.00764741[/C][C]0.996176[/C][/ROW]
[ROW][C]109[/C][C]0.00425657[/C][C]0.00851314[/C][C]0.995743[/C][/ROW]
[ROW][C]110[/C][C]0.0048684[/C][C]0.0097368[/C][C]0.995132[/C][/ROW]
[ROW][C]111[/C][C]0.0178967[/C][C]0.0357935[/C][C]0.982103[/C][/ROW]
[ROW][C]112[/C][C]0.0358006[/C][C]0.0716012[/C][C]0.964199[/C][/ROW]
[ROW][C]113[/C][C]0.0330091[/C][C]0.0660183[/C][C]0.966991[/C][/ROW]
[ROW][C]114[/C][C]0.0299761[/C][C]0.0599521[/C][C]0.970024[/C][/ROW]
[ROW][C]115[/C][C]0.0285926[/C][C]0.0571853[/C][C]0.971407[/C][/ROW]
[ROW][C]116[/C][C]0.0780515[/C][C]0.156103[/C][C]0.921948[/C][/ROW]
[ROW][C]117[/C][C]0.0777248[/C][C]0.15545[/C][C]0.922275[/C][/ROW]
[ROW][C]118[/C][C]0.145384[/C][C]0.290769[/C][C]0.854616[/C][/ROW]
[ROW][C]119[/C][C]0.20074[/C][C]0.401479[/C][C]0.79926[/C][/ROW]
[ROW][C]120[/C][C]0.254327[/C][C]0.508655[/C][C]0.745673[/C][/ROW]
[ROW][C]121[/C][C]0.241573[/C][C]0.483146[/C][C]0.758427[/C][/ROW]
[ROW][C]122[/C][C]0.298389[/C][C]0.596777[/C][C]0.701611[/C][/ROW]
[ROW][C]123[/C][C]0.421087[/C][C]0.842173[/C][C]0.578913[/C][/ROW]
[ROW][C]124[/C][C]0.453581[/C][C]0.907162[/C][C]0.546419[/C][/ROW]
[ROW][C]125[/C][C]0.440421[/C][C]0.880842[/C][C]0.559579[/C][/ROW]
[ROW][C]126[/C][C]0.574582[/C][C]0.850836[/C][C]0.425418[/C][/ROW]
[ROW][C]127[/C][C]0.567616[/C][C]0.864768[/C][C]0.432384[/C][/ROW]
[ROW][C]128[/C][C]0.565011[/C][C]0.869978[/C][C]0.434989[/C][/ROW]
[ROW][C]129[/C][C]0.547043[/C][C]0.905914[/C][C]0.452957[/C][/ROW]
[ROW][C]130[/C][C]0.582813[/C][C]0.834375[/C][C]0.417187[/C][/ROW]
[ROW][C]131[/C][C]0.569547[/C][C]0.860907[/C][C]0.430453[/C][/ROW]
[ROW][C]132[/C][C]0.679687[/C][C]0.640626[/C][C]0.320313[/C][/ROW]
[ROW][C]133[/C][C]0.659625[/C][C]0.68075[/C][C]0.340375[/C][/ROW]
[ROW][C]134[/C][C]0.640378[/C][C]0.719245[/C][C]0.359622[/C][/ROW]
[ROW][C]135[/C][C]0.657417[/C][C]0.685166[/C][C]0.342583[/C][/ROW]
[ROW][C]136[/C][C]0.654088[/C][C]0.691823[/C][C]0.345912[/C][/ROW]
[ROW][C]137[/C][C]0.658289[/C][C]0.683422[/C][C]0.341711[/C][/ROW]
[ROW][C]138[/C][C]0.633425[/C][C]0.733149[/C][C]0.366575[/C][/ROW]
[ROW][C]139[/C][C]0.619386[/C][C]0.761228[/C][C]0.380614[/C][/ROW]
[ROW][C]140[/C][C]0.648956[/C][C]0.702088[/C][C]0.351044[/C][/ROW]
[ROW][C]141[/C][C]0.702473[/C][C]0.595055[/C][C]0.297527[/C][/ROW]
[ROW][C]142[/C][C]0.761543[/C][C]0.476913[/C][C]0.238457[/C][/ROW]
[ROW][C]143[/C][C]0.758394[/C][C]0.483212[/C][C]0.241606[/C][/ROW]
[ROW][C]144[/C][C]0.750697[/C][C]0.498606[/C][C]0.249303[/C][/ROW]
[ROW][C]145[/C][C]0.784623[/C][C]0.430754[/C][C]0.215377[/C][/ROW]
[ROW][C]146[/C][C]0.787964[/C][C]0.424073[/C][C]0.212036[/C][/ROW]
[ROW][C]147[/C][C]0.811369[/C][C]0.377261[/C][C]0.188631[/C][/ROW]
[ROW][C]148[/C][C]0.81458[/C][C]0.370841[/C][C]0.18542[/C][/ROW]
[ROW][C]149[/C][C]0.829844[/C][C]0.340313[/C][C]0.170156[/C][/ROW]
[ROW][C]150[/C][C]0.850576[/C][C]0.298849[/C][C]0.149424[/C][/ROW]
[ROW][C]151[/C][C]0.840322[/C][C]0.319356[/C][C]0.159678[/C][/ROW]
[ROW][C]152[/C][C]0.8235[/C][C]0.352999[/C][C]0.1765[/C][/ROW]
[ROW][C]153[/C][C]0.809808[/C][C]0.380383[/C][C]0.190192[/C][/ROW]
[ROW][C]154[/C][C]0.798999[/C][C]0.402003[/C][C]0.201001[/C][/ROW]
[ROW][C]155[/C][C]0.815255[/C][C]0.369489[/C][C]0.184745[/C][/ROW]
[ROW][C]156[/C][C]0.812037[/C][C]0.375926[/C][C]0.187963[/C][/ROW]
[ROW][C]157[/C][C]0.800657[/C][C]0.398686[/C][C]0.199343[/C][/ROW]
[ROW][C]158[/C][C]0.83562[/C][C]0.32876[/C][C]0.16438[/C][/ROW]
[ROW][C]159[/C][C]0.857792[/C][C]0.284417[/C][C]0.142208[/C][/ROW]
[ROW][C]160[/C][C]0.839462[/C][C]0.321076[/C][C]0.160538[/C][/ROW]
[ROW][C]161[/C][C]0.821471[/C][C]0.357057[/C][C]0.178529[/C][/ROW]
[ROW][C]162[/C][C]0.85003[/C][C]0.29994[/C][C]0.14997[/C][/ROW]
[ROW][C]163[/C][C]0.84285[/C][C]0.314301[/C][C]0.15715[/C][/ROW]
[ROW][C]164[/C][C]0.832717[/C][C]0.334567[/C][C]0.167283[/C][/ROW]
[ROW][C]165[/C][C]0.827189[/C][C]0.345623[/C][C]0.172811[/C][/ROW]
[ROW][C]166[/C][C]0.855092[/C][C]0.289815[/C][C]0.144908[/C][/ROW]
[ROW][C]167[/C][C]0.848481[/C][C]0.303038[/C][C]0.151519[/C][/ROW]
[ROW][C]168[/C][C]0.847501[/C][C]0.304998[/C][C]0.152499[/C][/ROW]
[ROW][C]169[/C][C]0.835101[/C][C]0.329799[/C][C]0.164899[/C][/ROW]
[ROW][C]170[/C][C]0.875796[/C][C]0.248408[/C][C]0.124204[/C][/ROW]
[ROW][C]171[/C][C]0.867184[/C][C]0.265633[/C][C]0.132816[/C][/ROW]
[ROW][C]172[/C][C]0.895108[/C][C]0.209783[/C][C]0.104892[/C][/ROW]
[ROW][C]173[/C][C]0.878661[/C][C]0.242679[/C][C]0.121339[/C][/ROW]
[ROW][C]174[/C][C]0.863819[/C][C]0.272361[/C][C]0.136181[/C][/ROW]
[ROW][C]175[/C][C]0.855839[/C][C]0.288322[/C][C]0.144161[/C][/ROW]
[ROW][C]176[/C][C]0.848309[/C][C]0.303381[/C][C]0.151691[/C][/ROW]
[ROW][C]177[/C][C]0.87414[/C][C]0.25172[/C][C]0.12586[/C][/ROW]
[ROW][C]178[/C][C]0.855526[/C][C]0.288948[/C][C]0.144474[/C][/ROW]
[ROW][C]179[/C][C]0.839951[/C][C]0.320098[/C][C]0.160049[/C][/ROW]
[ROW][C]180[/C][C]0.823427[/C][C]0.353146[/C][C]0.176573[/C][/ROW]
[ROW][C]181[/C][C]0.845657[/C][C]0.308685[/C][C]0.154343[/C][/ROW]
[ROW][C]182[/C][C]0.823866[/C][C]0.352267[/C][C]0.176134[/C][/ROW]
[ROW][C]183[/C][C]0.891489[/C][C]0.217023[/C][C]0.108511[/C][/ROW]
[ROW][C]184[/C][C]0.881715[/C][C]0.236569[/C][C]0.118285[/C][/ROW]
[ROW][C]185[/C][C]0.912957[/C][C]0.174086[/C][C]0.0870432[/C][/ROW]
[ROW][C]186[/C][C]0.897727[/C][C]0.204546[/C][C]0.102273[/C][/ROW]
[ROW][C]187[/C][C]0.88366[/C][C]0.232681[/C][C]0.11634[/C][/ROW]
[ROW][C]188[/C][C]0.901154[/C][C]0.197691[/C][C]0.0988455[/C][/ROW]
[ROW][C]189[/C][C]0.892944[/C][C]0.214112[/C][C]0.107056[/C][/ROW]
[ROW][C]190[/C][C]0.875451[/C][C]0.249097[/C][C]0.124549[/C][/ROW]
[ROW][C]191[/C][C]0.86478[/C][C]0.27044[/C][C]0.13522[/C][/ROW]
[ROW][C]192[/C][C]0.867112[/C][C]0.265776[/C][C]0.132888[/C][/ROW]
[ROW][C]193[/C][C]0.847924[/C][C]0.304152[/C][C]0.152076[/C][/ROW]
[ROW][C]194[/C][C]0.835499[/C][C]0.329002[/C][C]0.164501[/C][/ROW]
[ROW][C]195[/C][C]0.811643[/C][C]0.376715[/C][C]0.188357[/C][/ROW]
[ROW][C]196[/C][C]0.81242[/C][C]0.375159[/C][C]0.18758[/C][/ROW]
[ROW][C]197[/C][C]0.798314[/C][C]0.403372[/C][C]0.201686[/C][/ROW]
[ROW][C]198[/C][C]0.832714[/C][C]0.334572[/C][C]0.167286[/C][/ROW]
[ROW][C]199[/C][C]0.860437[/C][C]0.279125[/C][C]0.139563[/C][/ROW]
[ROW][C]200[/C][C]0.843842[/C][C]0.312317[/C][C]0.156158[/C][/ROW]
[ROW][C]201[/C][C]0.820606[/C][C]0.358787[/C][C]0.179394[/C][/ROW]
[ROW][C]202[/C][C]0.804322[/C][C]0.391357[/C][C]0.195678[/C][/ROW]
[ROW][C]203[/C][C]0.785412[/C][C]0.429176[/C][C]0.214588[/C][/ROW]
[ROW][C]204[/C][C]0.765098[/C][C]0.469805[/C][C]0.234902[/C][/ROW]
[ROW][C]205[/C][C]0.762472[/C][C]0.475056[/C][C]0.237528[/C][/ROW]
[ROW][C]206[/C][C]0.822042[/C][C]0.355915[/C][C]0.177958[/C][/ROW]
[ROW][C]207[/C][C]0.797567[/C][C]0.404866[/C][C]0.202433[/C][/ROW]
[ROW][C]208[/C][C]0.771667[/C][C]0.456666[/C][C]0.228333[/C][/ROW]
[ROW][C]209[/C][C]0.750008[/C][C]0.499985[/C][C]0.249992[/C][/ROW]
[ROW][C]210[/C][C]0.725042[/C][C]0.549915[/C][C]0.274958[/C][/ROW]
[ROW][C]211[/C][C]0.693061[/C][C]0.613879[/C][C]0.306939[/C][/ROW]
[ROW][C]212[/C][C]0.682227[/C][C]0.635547[/C][C]0.317773[/C][/ROW]
[ROW][C]213[/C][C]0.650854[/C][C]0.698291[/C][C]0.349146[/C][/ROW]
[ROW][C]214[/C][C]0.624246[/C][C]0.751507[/C][C]0.375754[/C][/ROW]
[ROW][C]215[/C][C]0.678043[/C][C]0.643913[/C][C]0.321957[/C][/ROW]
[ROW][C]216[/C][C]0.671733[/C][C]0.656534[/C][C]0.328267[/C][/ROW]
[ROW][C]217[/C][C]0.656596[/C][C]0.686808[/C][C]0.343404[/C][/ROW]
[ROW][C]218[/C][C]0.633029[/C][C]0.733942[/C][C]0.366971[/C][/ROW]
[ROW][C]219[/C][C]0.602306[/C][C]0.795388[/C][C]0.397694[/C][/ROW]
[ROW][C]220[/C][C]0.563679[/C][C]0.872641[/C][C]0.436321[/C][/ROW]
[ROW][C]221[/C][C]0.556144[/C][C]0.887711[/C][C]0.443856[/C][/ROW]
[ROW][C]222[/C][C]0.517741[/C][C]0.964519[/C][C]0.482259[/C][/ROW]
[ROW][C]223[/C][C]0.49884[/C][C]0.99768[/C][C]0.50116[/C][/ROW]
[ROW][C]224[/C][C]0.459895[/C][C]0.919789[/C][C]0.540105[/C][/ROW]
[ROW][C]225[/C][C]0.472371[/C][C]0.944742[/C][C]0.527629[/C][/ROW]
[ROW][C]226[/C][C]0.450647[/C][C]0.901293[/C][C]0.549353[/C][/ROW]
[ROW][C]227[/C][C]0.423052[/C][C]0.846104[/C][C]0.576948[/C][/ROW]
[ROW][C]228[/C][C]0.477854[/C][C]0.955709[/C][C]0.522146[/C][/ROW]
[ROW][C]229[/C][C]0.558175[/C][C]0.88365[/C][C]0.441825[/C][/ROW]
[ROW][C]230[/C][C]0.516979[/C][C]0.966043[/C][C]0.483021[/C][/ROW]
[ROW][C]231[/C][C]0.497784[/C][C]0.995569[/C][C]0.502216[/C][/ROW]
[ROW][C]232[/C][C]0.510191[/C][C]0.979617[/C][C]0.489809[/C][/ROW]
[ROW][C]233[/C][C]0.4765[/C][C]0.953001[/C][C]0.5235[/C][/ROW]
[ROW][C]234[/C][C]0.474659[/C][C]0.949318[/C][C]0.525341[/C][/ROW]
[ROW][C]235[/C][C]0.433102[/C][C]0.866203[/C][C]0.566898[/C][/ROW]
[ROW][C]236[/C][C]0.480469[/C][C]0.960938[/C][C]0.519531[/C][/ROW]
[ROW][C]237[/C][C]0.547119[/C][C]0.905761[/C][C]0.452881[/C][/ROW]
[ROW][C]238[/C][C]0.614182[/C][C]0.771635[/C][C]0.385818[/C][/ROW]
[ROW][C]239[/C][C]0.720746[/C][C]0.558508[/C][C]0.279254[/C][/ROW]
[ROW][C]240[/C][C]0.678265[/C][C]0.643469[/C][C]0.321735[/C][/ROW]
[ROW][C]241[/C][C]0.632741[/C][C]0.734518[/C][C]0.367259[/C][/ROW]
[ROW][C]242[/C][C]0.635442[/C][C]0.729116[/C][C]0.364558[/C][/ROW]
[ROW][C]243[/C][C]0.910273[/C][C]0.179455[/C][C]0.0897273[/C][/ROW]
[ROW][C]244[/C][C]0.890826[/C][C]0.218348[/C][C]0.109174[/C][/ROW]
[ROW][C]245[/C][C]0.867767[/C][C]0.264466[/C][C]0.132233[/C][/ROW]
[ROW][C]246[/C][C]0.84924[/C][C]0.30152[/C][C]0.15076[/C][/ROW]
[ROW][C]247[/C][C]0.815416[/C][C]0.369168[/C][C]0.184584[/C][/ROW]
[ROW][C]248[/C][C]0.777776[/C][C]0.444448[/C][C]0.222224[/C][/ROW]
[ROW][C]249[/C][C]0.741682[/C][C]0.516636[/C][C]0.258318[/C][/ROW]
[ROW][C]250[/C][C]0.696904[/C][C]0.606193[/C][C]0.303096[/C][/ROW]
[ROW][C]251[/C][C]0.822296[/C][C]0.355409[/C][C]0.177704[/C][/ROW]
[ROW][C]252[/C][C]0.823985[/C][C]0.35203[/C][C]0.176015[/C][/ROW]
[ROW][C]253[/C][C]0.803929[/C][C]0.392141[/C][C]0.196071[/C][/ROW]
[ROW][C]254[/C][C]0.769178[/C][C]0.461645[/C][C]0.230822[/C][/ROW]
[ROW][C]255[/C][C]0.787963[/C][C]0.424074[/C][C]0.212037[/C][/ROW]
[ROW][C]256[/C][C]0.757473[/C][C]0.485054[/C][C]0.242527[/C][/ROW]
[ROW][C]257[/C][C]0.795179[/C][C]0.409642[/C][C]0.204821[/C][/ROW]
[ROW][C]258[/C][C]0.746749[/C][C]0.506501[/C][C]0.253251[/C][/ROW]
[ROW][C]259[/C][C]0.699321[/C][C]0.601358[/C][C]0.300679[/C][/ROW]
[ROW][C]260[/C][C]0.667902[/C][C]0.664196[/C][C]0.332098[/C][/ROW]
[ROW][C]261[/C][C]0.604522[/C][C]0.790957[/C][C]0.395478[/C][/ROW]
[ROW][C]262[/C][C]0.54796[/C][C]0.90408[/C][C]0.45204[/C][/ROW]
[ROW][C]263[/C][C]0.491874[/C][C]0.983748[/C][C]0.508126[/C][/ROW]
[ROW][C]264[/C][C]0.449961[/C][C]0.899923[/C][C]0.550039[/C][/ROW]
[ROW][C]265[/C][C]0.767515[/C][C]0.464969[/C][C]0.232485[/C][/ROW]
[ROW][C]266[/C][C]0.754832[/C][C]0.490336[/C][C]0.245168[/C][/ROW]
[ROW][C]267[/C][C]0.690079[/C][C]0.619841[/C][C]0.309921[/C][/ROW]
[ROW][C]268[/C][C]0.834875[/C][C]0.33025[/C][C]0.165125[/C][/ROW]
[ROW][C]269[/C][C]0.799949[/C][C]0.400101[/C][C]0.200051[/C][/ROW]
[ROW][C]270[/C][C]0.819652[/C][C]0.360696[/C][C]0.180348[/C][/ROW]
[ROW][C]271[/C][C]0.778641[/C][C]0.442718[/C][C]0.221359[/C][/ROW]
[ROW][C]272[/C][C]0.693722[/C][C]0.612555[/C][C]0.306278[/C][/ROW]
[ROW][C]273[/C][C]0.64808[/C][C]0.703841[/C][C]0.35192[/C][/ROW]
[ROW][C]274[/C][C]0.531326[/C][C]0.937348[/C][C]0.468674[/C][/ROW]
[ROW][C]275[/C][C]0.404972[/C][C]0.809944[/C][C]0.595028[/C][/ROW]
[ROW][C]276[/C][C]0.30462[/C][C]0.60924[/C][C]0.69538[/C][/ROW]
[ROW][C]277[/C][C]0.322876[/C][C]0.645752[/C][C]0.677124[/C][/ROW]
[ROW][C]278[/C][C]0.316566[/C][C]0.633133[/C][C]0.683434[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=264766&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=264766&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
90.2585450.517090.741455
100.2978130.5956260.702187
110.2975270.5950530.702473
120.1916620.3833240.808338
130.4356380.8712760.564362
140.3317670.6635350.668233
150.2507170.5014340.749283
160.3143370.6286730.685663
170.2403280.4806550.759672
180.1797680.3595350.820232
190.1451850.2903690.854815
200.1022810.2045610.897719
210.07011770.1402350.929882
220.1250350.2500690.874965
230.1707970.3415930.829203
240.1365160.2730330.863484
250.1196070.2392150.880393
260.09664320.1932860.903357
270.08817320.1763460.911827
280.1594370.3188740.840563
290.1412330.2824670.858767
300.1243960.2487920.875604
310.09713580.1942720.902864
320.08161470.1632290.918385
330.06250710.1250140.937493
340.111950.2239010.88805
350.09735380.1947080.902646
360.08390620.1678120.916094
370.06549950.1309990.934501
380.05184260.1036850.948157
390.04188910.08377820.958111
400.0357220.0714440.964278
410.03022840.06045670.969772
420.02309460.04618930.976905
430.03871360.07742720.961286
440.0293990.0587980.970601
450.0256760.0513520.974324
460.0196140.0392280.980386
470.01619430.03238860.983806
480.01202360.02404710.987976
490.008700970.01740190.991299
500.009839290.01967860.990161
510.008124280.01624860.991876
520.006494950.01298990.993505
530.004792670.009585350.995207
540.006355070.01271010.993645
550.004725740.009451480.995274
560.003637620.007275240.996362
570.003679340.007358680.996321
580.002929350.005858690.997071
590.006631230.01326250.993369
600.008460910.01692180.991539
610.007468960.01493790.992531
620.006372020.0127440.993628
630.005802480.0116050.994198
640.004566540.009133070.995433
650.004997490.009994980.995003
660.0078770.0157540.992123
670.006919070.01383810.993081
680.006510870.01302170.993489
690.005241610.01048320.994758
700.004305280.008610560.995695
710.006607830.01321570.993392
720.005394260.01078850.994606
730.004233280.008466560.995767
740.003264810.006529620.996735
750.003158940.006317870.996841
760.003619660.007239330.99638
770.00545110.01090220.994549
780.004365840.008731680.995634
790.003387530.006775070.996612
800.002665190.005330380.997335
810.002209730.004419460.99779
820.001693660.003387320.998306
830.001774750.003549510.998225
840.001373530.002747050.998626
850.00119680.00239360.998803
860.0009372740.001874550.999063
870.003917150.00783430.996083
880.003277310.006554610.996723
890.002498990.004997980.997501
900.001967870.003935730.998032
910.001616510.003233020.998383
920.001829790.003659580.99817
930.001927970.003855940.998072
940.00168020.00336040.99832
950.003572950.007145910.996427
960.002856470.005712940.997144
970.002732330.005464660.997268
980.003098210.006196420.996902
990.00284140.005682790.997159
1000.004151740.008303480.995848
1010.003482450.006964890.996518
1020.003455770.006911530.996544
1030.004416490.008832980.995584
1040.003947180.007894370.996053
1050.003730060.007460130.99627
1060.004327750.00865550.995672
1070.00386230.00772460.996138
1080.00382370.007647410.996176
1090.004256570.008513140.995743
1100.00486840.00973680.995132
1110.01789670.03579350.982103
1120.03580060.07160120.964199
1130.03300910.06601830.966991
1140.02997610.05995210.970024
1150.02859260.05718530.971407
1160.07805150.1561030.921948
1170.07772480.155450.922275
1180.1453840.2907690.854616
1190.200740.4014790.79926
1200.2543270.5086550.745673
1210.2415730.4831460.758427
1220.2983890.5967770.701611
1230.4210870.8421730.578913
1240.4535810.9071620.546419
1250.4404210.8808420.559579
1260.5745820.8508360.425418
1270.5676160.8647680.432384
1280.5650110.8699780.434989
1290.5470430.9059140.452957
1300.5828130.8343750.417187
1310.5695470.8609070.430453
1320.6796870.6406260.320313
1330.6596250.680750.340375
1340.6403780.7192450.359622
1350.6574170.6851660.342583
1360.6540880.6918230.345912
1370.6582890.6834220.341711
1380.6334250.7331490.366575
1390.6193860.7612280.380614
1400.6489560.7020880.351044
1410.7024730.5950550.297527
1420.7615430.4769130.238457
1430.7583940.4832120.241606
1440.7506970.4986060.249303
1450.7846230.4307540.215377
1460.7879640.4240730.212036
1470.8113690.3772610.188631
1480.814580.3708410.18542
1490.8298440.3403130.170156
1500.8505760.2988490.149424
1510.8403220.3193560.159678
1520.82350.3529990.1765
1530.8098080.3803830.190192
1540.7989990.4020030.201001
1550.8152550.3694890.184745
1560.8120370.3759260.187963
1570.8006570.3986860.199343
1580.835620.328760.16438
1590.8577920.2844170.142208
1600.8394620.3210760.160538
1610.8214710.3570570.178529
1620.850030.299940.14997
1630.842850.3143010.15715
1640.8327170.3345670.167283
1650.8271890.3456230.172811
1660.8550920.2898150.144908
1670.8484810.3030380.151519
1680.8475010.3049980.152499
1690.8351010.3297990.164899
1700.8757960.2484080.124204
1710.8671840.2656330.132816
1720.8951080.2097830.104892
1730.8786610.2426790.121339
1740.8638190.2723610.136181
1750.8558390.2883220.144161
1760.8483090.3033810.151691
1770.874140.251720.12586
1780.8555260.2889480.144474
1790.8399510.3200980.160049
1800.8234270.3531460.176573
1810.8456570.3086850.154343
1820.8238660.3522670.176134
1830.8914890.2170230.108511
1840.8817150.2365690.118285
1850.9129570.1740860.0870432
1860.8977270.2045460.102273
1870.883660.2326810.11634
1880.9011540.1976910.0988455
1890.8929440.2141120.107056
1900.8754510.2490970.124549
1910.864780.270440.13522
1920.8671120.2657760.132888
1930.8479240.3041520.152076
1940.8354990.3290020.164501
1950.8116430.3767150.188357
1960.812420.3751590.18758
1970.7983140.4033720.201686
1980.8327140.3345720.167286
1990.8604370.2791250.139563
2000.8438420.3123170.156158
2010.8206060.3587870.179394
2020.8043220.3913570.195678
2030.7854120.4291760.214588
2040.7650980.4698050.234902
2050.7624720.4750560.237528
2060.8220420.3559150.177958
2070.7975670.4048660.202433
2080.7716670.4566660.228333
2090.7500080.4999850.249992
2100.7250420.5499150.274958
2110.6930610.6138790.306939
2120.6822270.6355470.317773
2130.6508540.6982910.349146
2140.6242460.7515070.375754
2150.6780430.6439130.321957
2160.6717330.6565340.328267
2170.6565960.6868080.343404
2180.6330290.7339420.366971
2190.6023060.7953880.397694
2200.5636790.8726410.436321
2210.5561440.8877110.443856
2220.5177410.9645190.482259
2230.498840.997680.50116
2240.4598950.9197890.540105
2250.4723710.9447420.527629
2260.4506470.9012930.549353
2270.4230520.8461040.576948
2280.4778540.9557090.522146
2290.5581750.883650.441825
2300.5169790.9660430.483021
2310.4977840.9955690.502216
2320.5101910.9796170.489809
2330.47650.9530010.5235
2340.4746590.9493180.525341
2350.4331020.8662030.566898
2360.4804690.9609380.519531
2370.5471190.9057610.452881
2380.6141820.7716350.385818
2390.7207460.5585080.279254
2400.6782650.6434690.321735
2410.6327410.7345180.367259
2420.6354420.7291160.364558
2430.9102730.1794550.0897273
2440.8908260.2183480.109174
2450.8677670.2644660.132233
2460.849240.301520.15076
2470.8154160.3691680.184584
2480.7777760.4444480.222224
2490.7416820.5166360.258318
2500.6969040.6061930.303096
2510.8222960.3554090.177704
2520.8239850.352030.176015
2530.8039290.3921410.196071
2540.7691780.4616450.230822
2550.7879630.4240740.212037
2560.7574730.4850540.242527
2570.7951790.4096420.204821
2580.7467490.5065010.253251
2590.6993210.6013580.300679
2600.6679020.6641960.332098
2610.6045220.7909570.395478
2620.547960.904080.45204
2630.4918740.9837480.508126
2640.4499610.8999230.550039
2650.7675150.4649690.232485
2660.7548320.4903360.245168
2670.6900790.6198410.309921
2680.8348750.330250.165125
2690.7999490.4001010.200051
2700.8196520.3606960.180348
2710.7786410.4427180.221359
2720.6937220.6125550.306278
2730.648080.7038410.35192
2740.5313260.9373480.468674
2750.4049720.8099440.595028
2760.304620.609240.69538
2770.3228760.6457520.677124
2780.3165660.6331330.683434






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level450.166667NOK
5% type I error level670.248148NOK
10% type I error level770.285185NOK

\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 & 45 & 0.166667 & NOK \tabularnewline
5% type I error level & 67 & 0.248148 & NOK \tabularnewline
10% type I error level & 77 & 0.285185 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=264766&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]45[/C][C]0.166667[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]67[/C][C]0.248148[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]77[/C][C]0.285185[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=264766&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=264766&T=6

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


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

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level450.166667NOK
5% type I error level670.248148NOK
10% type I error level770.285185NOK


Figures (Output of Computation)

Figure 1
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Figure 2
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Figure 4
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Figure 5
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Figure 6
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Figure 7
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Figure 8
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Figure 9
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Figure 10
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Input Parameters & R Code

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