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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 computationWed, 10 Dec 2014 15:57:06 +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/10/t1418227084df6rbsp72vxs7at.htm/, Retrieved Sun, 19 May 2024 15:26:08 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=265443, Retrieved Sun, 19 May 2024 15:26:08 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact46

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Multiple Regression] [] [2014-12-10 15:57:06] [1f9cde3fd5a46d58696c891290fd755a] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
12.9 0 1
12.2 1 1
12.8 0 1
7.4 1 1
6.7 1 1
12.6 1 1
14.8 0 1
13.3 1 1
11.1 1 1
8.2 1 1
11.4 1 1
6.4 1 1
10.6 1 1
12 0 1
6.3 0 1
11.3 0 0
11.9 1 1
9.3 0 1
9.6 1 0
10 0 1
6.4 1 1
13.8 1 1
10.8 0 1
13.8 1 1
11.7 1 1
10.9 1 1
16.1 1 0
13.4 0 0
9.9 1 1
11.5 0 1
8.3 0 1
11.7 0 1
9 1 1
9.7 1 1
10.8 1 1
10.3 1 1
10.4 0 1
12.7 1 0
9.3 1 1
11.8 0 1
5.9 1 1
11.4 1 1
13 1 1
10.8 1 1
12.3 1 0
11.3 0 1
11.8 1 1
7.9 1 0
12.7 0 1
12.3 1 0
11.6 1 0
6.7 1 0
10.9 1 1
12.1 1 0
13.3 1 1
10.1 1 1
5.7 0 0
14.3 1 1
8 0 0
13.3 1 0
9.3 1 1
12.5 0 1
7.6 0 1
15.9 1 1
9.2 0 1
9.1 1 0
11.1 0 1
13 1 1
14.5 1 1
12.2 0 0
12.3 0 1
11.4 0 1
8.8 0 0
14.6 1 0
12.6 0 1
13 0 1
12.6 1 0
13.2 0 1
9.9 0 0
7.7 1 1
10.5 0 0
13.4 0 0
10.9 0 0
4.3 1 0
10.3 0 0
11.8 1 0
11.2 1 0
11.4 0 0
8.6 0 0
13.2 0 0
12.6 1 0
5.6 1 0
9.9 1 0
8.8 0 0
7.7 1 0
9 0 0
7.3 1 0
11.4 1 0
13.6 1 0
7.9 1 0
10.7 1 0
10.3 0 0
8.3 1 0
9.6 1 0
14.2 1 0
8.5 0 0
13.5 0 0
4.9 0 0
6.4 0 0
9.6 0 0
11.6 0 0
11.1 1 0
4.35 1 1
12.7 1 1
18.1 1 1
17.85 1 1
16.6 0 0
12.6 1 0
17.1 1 1
19.1 0 1
16.1 1 1
13.35 0 1
18.4 0 1
14.7 1 1
10.6 1 1
12.6 1 1
16.2 1 1
13.6 1 1
18.9 1 0
14.1 1 1
14.5 1 1
16.15 0 1
14.75 1 1
14.8 1 1
12.45 1 1
12.65 1 1
17.35 1 1
8.6 1 1
18.4 0 1
16.1 1 1
11.6 1 0
17.75 1 1
15.25 1 1
17.65 1 1
16.35 0 1
17.65 0 1
13.6 1 1
14.35 0 1
14.75 0 1
18.25 1 1
9.9 0 1
16 1 1
18.25 1 1
16.85 0 1
14.6 1 0
13.85 1 0
18.95 1 1
15.6 0 1
14.85 0 0
11.75 0 0
18.45 0 0
15.9 1 0
17.1 0 1
16.1 1 1
19.9 0 0
10.95 1 0
18.45 0 0
15.1 1 0
15 0 0
11.35 0 0
15.95 1 0
18.1 0 0
14.6 1 0
15.4 1 1
15.4 1 1
17.6 1 0
13.35 1 1
19.1 0 1
15.35 1 0
7.6 0 1
13.4 0 0
13.9 0 0
19.1 1 1
15.25 0 0
12.9 1 0
16.1 0 0
17.35 0 0
13.15 0 0
12.15 0 0
12.6 1 0
10.35 1 0
15.4 1 0
9.6 1 0
18.2 0 0
13.6 0 0
14.85 1 0
14.75 0 1
14.1 0 0
14.9 0 0
16.25 0 0
19.25 1 1
13.6 1 0
13.6 0 1
15.65 0 0
12.75 1 1
14.6 0 0
9.85 1 1
12.65 1 0
19.2 0 0
16.6 1 0
11.2 1 0
15.25 1 1
11.9 0 1
13.2 0 0
16.35 0 1
12.4 1 1
15.85 1 0
18.15 1 1
11.15 1 0
15.65 0 0
17.75 0 1
7.65 0 0
12.35 1 1
15.6 1 1
19.3 0 1
15.2 0 0
17.1 0 1
15.6 1 0
18.4 1 1
19.05 0 1
18.55 0 1
19.1 0 1
13.1 1 0
12.85 1 1
9.5 1 1
4.5 1 1
11.85 0 0
13.6 1 1
11.7 1 1
12.4 1 0
13.35 0 1
11.4 0 0
14.9 1 0
19.9 0 0
11.2 1 0
14.6 1 0
17.6 0 1
14.05 1 1
16.1 0 1
13.35 1 1
11.85 1 1
11.95 0 1
14.75 1 0
15.15 0 0
13.2 1 1
16.85 0 0
7.85 1 0
7.7 0 1
12.6 0 0
7.85 1 0
10.95 1 0
12.35 0 0
9.95 1 0
14.9 1 0
16.65 0 0
13.4 1 0
13.95 0 0
15.7 0 0
16.85 1 0
10.95 1 0
15.35 0 0
12.2 1 0
15.1 0 0
17.75 0 0
15.2 1 0
14.6 0 1
16.65 0 0
8.1 1 0

Tables (Output of Computation)





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

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 9 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265443&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]9 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265443&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265443&T=0

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


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

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






Multiple Linear Regression - Estimated Regression Equation
TOT[t] = + 13.2313 -0.950069Gender[t] + 0.555376Course[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
TOT[t] =  +  13.2313 -0.950069Gender[t] +  0.555376Course[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265443&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]TOT[t] =  +  13.2313 -0.950069Gender[t] +  0.555376Course[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265443&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265443&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] = + 13.2313 -0.950069Gender[t] + 0.555376Course[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)13.23130.35908636.852.26435e-1081.13218e-108
Gender-0.9500690.409261-2.3210.0209950.0104975
Course0.5553760.4055151.370.1719420.085971

\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) & 13.2313 & 0.359086 & 36.85 & 2.26435e-108 & 1.13218e-108 \tabularnewline
Gender & -0.950069 & 0.409261 & -2.321 & 0.020995 & 0.0104975 \tabularnewline
Course & 0.555376 & 0.405515 & 1.37 & 0.171942 & 0.085971 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265443&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]13.2313[/C][C]0.359086[/C][C]36.85[/C][C]2.26435e-108[/C][C]1.13218e-108[/C][/ROW]
[ROW][C]Gender[/C][C]-0.950069[/C][C]0.409261[/C][C]-2.321[/C][C]0.020995[/C][C]0.0104975[/C][/ROW]
[ROW][C]Course[/C][C]0.555376[/C][C]0.405515[/C][C]1.37[/C][C]0.171942[/C][C]0.085971[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265443&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265443&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)13.23130.35908636.852.26435e-1081.13218e-108
Gender-0.9500690.409261-2.3210.0209950.0104975
Course0.5553760.4055151.370.1719420.085971






Multiple Linear Regression - Regression Statistics
Multiple R0.154665
R-squared0.0239212
Adjusted R-squared0.0168224
F-TEST (value)3.36977
F-TEST (DF numerator)2
F-TEST (DF denominator)275
p-value0.0358239
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation3.36569
Sum Squared Residuals3115.16

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.154665 \tabularnewline
R-squared & 0.0239212 \tabularnewline
Adjusted R-squared & 0.0168224 \tabularnewline
F-TEST (value) & 3.36977 \tabularnewline
F-TEST (DF numerator) & 2 \tabularnewline
F-TEST (DF denominator) & 275 \tabularnewline
p-value & 0.0358239 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 3.36569 \tabularnewline
Sum Squared Residuals & 3115.16 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265443&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.154665[/C][/ROW]
[ROW][C]R-squared[/C][C]0.0239212[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.0168224[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]3.36977[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]2[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]275[/C][/ROW]
[ROW][C]p-value[/C][C]0.0358239[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]3.36569[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]3115.16[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265443&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265443&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 R0.154665
R-squared0.0239212
Adjusted R-squared0.0168224
F-TEST (value)3.36977
F-TEST (DF numerator)2
F-TEST (DF denominator)275
p-value0.0358239
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation3.36569
Sum Squared Residuals3115.16






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
112.913.7867-0.886662
212.212.8366-0.636593
312.813.7867-0.986662
47.412.8366-5.43659
56.712.8366-6.13659
612.612.8366-0.236593
714.813.78671.01334
813.312.83660.463407
911.112.8366-1.73659
108.212.8366-4.63659
1111.412.8366-1.43659
126.412.8366-6.43659
1310.612.8366-2.23659
141213.7867-1.78666
156.313.7867-7.48666
1611.313.2313-1.93129
1711.912.8366-0.936593
189.313.7867-4.48666
199.612.2812-2.68122
201013.7867-3.78666
216.412.8366-6.43659
2213.812.83660.963407
2310.813.7867-2.98666
2413.812.83660.963407
2511.712.8366-1.13659
2610.912.8366-1.93659
2716.112.28123.81878
2813.413.23130.168714
299.912.8366-2.93659
3011.513.7867-2.28666
318.313.7867-5.48666
3211.713.7867-2.08666
33912.8366-3.83659
349.712.8366-3.13659
3510.812.8366-2.03659
3610.312.8366-2.53659
3710.413.7867-3.38666
3812.712.28120.418783
399.312.8366-3.53659
4011.813.7867-1.98666
415.912.8366-6.93659
4211.412.8366-1.43659
431312.83660.163407
4410.812.8366-2.03659
4512.312.28120.018783
4611.313.7867-2.48666
4711.812.8366-1.03659
487.912.2812-4.38122
4912.713.7867-1.08666
5012.312.28120.018783
5111.612.2812-0.681217
526.712.2812-5.58122
5310.912.8366-1.93659
5412.112.2812-0.181217
5513.312.83660.463407
5610.112.8366-2.73659
575.713.2313-7.53129
5814.312.83661.46341
59813.2313-5.23129
6013.312.28121.01878
619.312.8366-3.53659
6212.513.7867-1.28666
637.613.7867-6.18666
6415.912.83663.06341
659.213.7867-4.58666
669.112.2812-3.18122
6711.113.7867-2.68666
681312.83660.163407
6914.512.83661.66341
7012.213.2313-1.03129
7112.313.7867-1.48666
7211.413.7867-2.38666
738.813.2313-4.43129
7414.612.28122.31878
7512.613.7867-1.18666
761313.7867-0.786662
7712.612.28120.318783
7813.213.7867-0.586662
799.913.2313-3.33129
807.712.8366-5.13659
8110.513.2313-2.73129
8213.413.23130.168714
8310.913.2313-2.33129
844.312.2812-7.98122
8510.313.2313-2.93129
8611.812.2812-0.481217
8711.212.2812-1.08122
8811.413.2313-1.83129
898.613.2313-4.63129
9013.213.2313-0.031286
9112.612.28120.318783
925.612.2812-6.68122
939.912.2812-2.38122
948.813.2313-4.43129
957.712.2812-4.58122
96913.2313-4.23129
977.312.2812-4.98122
9811.412.2812-0.881217
9913.612.28121.31878
1007.912.2812-4.38122
10110.712.2812-1.58122
10210.313.2313-2.93129
1038.312.2812-3.98122
1049.612.2812-2.68122
10514.212.28121.91878
1068.513.2313-4.73129
10713.513.23130.268714
1084.913.2313-8.33129
1096.413.2313-6.83129
1109.613.2313-3.63129
11111.613.2313-1.63129
11211.112.2812-1.18122
1134.3512.8366-8.48659
11412.712.8366-0.136593
11518.112.83665.26341
11617.8512.83665.01341
11716.613.23133.36871
11812.612.28120.318783
11917.112.83664.26341
12019.113.78675.31334
12116.112.83663.26341
12213.3513.7867-0.436662
12318.413.78674.61334
12414.712.83661.86341
12510.612.8366-2.23659
12612.612.8366-0.236593
12716.212.83663.36341
12813.612.83660.763407
12918.912.28126.61878
13014.112.83661.26341
13114.512.83661.66341
13216.1513.78672.36334
13314.7512.83661.91341
13414.812.83661.96341
13512.4512.8366-0.386593
13612.6512.8366-0.186593
13717.3512.83664.51341
1388.612.8366-4.23659
13918.413.78674.61334
14016.112.83663.26341
14111.612.2812-0.681217
14217.7512.83664.91341
14315.2512.83662.41341
14417.6512.83664.81341
14516.3513.78672.56334
14617.6513.78673.86334
14713.612.83660.763407
14814.3513.78670.563338
14914.7513.78670.963338
15018.2512.83665.41341
1519.913.7867-3.88666
1521612.83663.16341
15318.2512.83665.41341
15416.8513.78673.06334
15514.612.28122.31878
15613.8512.28121.56878
15718.9512.83666.11341
15815.613.78671.81334
15914.8513.23131.61871
16011.7513.2313-1.48129
16118.4513.23135.21871
16215.912.28123.61878
16317.113.78673.31334
16416.112.83663.26341
16519.913.23136.66871
16610.9512.2812-1.33122
16718.4513.23135.21871
16815.112.28122.81878
1691513.23131.76871
17011.3513.2313-1.88129
17115.9512.28123.66878
17218.113.23134.86871
17314.612.28122.31878
17415.412.83662.56341
17515.412.83662.56341
17617.612.28125.31878
17713.3512.83660.513407
17819.113.78675.31334
17915.3512.28123.06878
1807.613.7867-6.18666
18113.413.23130.168714
18213.913.23130.668714
18319.112.83666.26341
18415.2513.23132.01871
18512.912.28120.618783
18616.113.23132.86871
18717.3513.23134.11871
18813.1513.2313-0.081286
18912.1513.2313-1.08129
19012.612.28120.318783
19110.3512.2812-1.93122
19215.412.28123.11878
1939.612.2812-2.68122
19418.213.23134.96871
19513.613.23130.368714
19614.8512.28122.56878
19714.7513.78670.963338
19814.113.23130.868714
19914.913.23131.66871
20016.2513.23133.01871
20119.2512.83666.41341
20213.612.28121.31878
20313.613.7867-0.186662
20415.6513.23132.41871
20512.7512.8366-0.086593
20614.613.23131.36871
2079.8512.8366-2.98659
20812.6512.28120.368783
20919.213.23135.96871
21016.612.28124.31878
21111.212.2812-1.08122
21215.2512.83662.41341
21311.913.7867-1.88666
21413.213.2313-0.031286
21516.3513.78672.56334
21612.412.8366-0.436593
21715.8512.28123.56878
21818.1512.83665.31341
21911.1512.2812-1.13122
22015.6513.23132.41871
22117.7513.78673.96334
2227.6513.2313-5.58129
22312.3512.8366-0.486593
22415.612.83662.76341
22519.313.78675.51334
22615.213.23131.96871
22717.113.78673.31334
22815.612.28123.31878
22918.412.83665.56341
23019.0513.78675.26334
23118.5513.78674.76334
23219.113.78675.31334
23313.112.28120.818783
23412.8512.83660.013407
2359.512.8366-3.33659
2364.512.8366-8.33659
23711.8513.2313-1.38129
23813.612.83660.763407
23911.712.8366-1.13659
24012.412.28120.118783
24113.3513.7867-0.436662
24211.413.2313-1.83129
24314.912.28122.61878
24419.913.23136.66871
24511.212.2812-1.08122
24614.612.28122.31878
24717.613.78673.81334
24814.0512.83661.21341
24916.113.78672.31334
25013.3512.83660.513407
25111.8512.8366-0.986593
25211.9513.7867-1.83666
25314.7512.28122.46878
25415.1513.23131.91871
25513.212.83660.363407
25616.8513.23133.61871
2577.8512.2812-4.43122
2587.713.7867-6.08666
25912.613.2313-0.631286
2607.8512.2812-4.43122
26110.9512.2812-1.33122
26212.3513.2313-0.881286
2639.9512.2812-2.33122
26414.912.28122.61878
26516.6513.23133.41871
26613.412.28121.11878
26713.9513.23130.718714
26815.713.23132.46871
26916.8512.28124.56878
27010.9512.2812-1.33122
27115.3513.23132.11871
27212.212.2812-0.081217
27315.113.23131.86871
27417.7513.23134.51871
27515.212.28122.91878
27614.613.78670.813338
27716.6513.23133.41871
2788.112.2812-4.18122

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 12.9 & 13.7867 & -0.886662 \tabularnewline
2 & 12.2 & 12.8366 & -0.636593 \tabularnewline
3 & 12.8 & 13.7867 & -0.986662 \tabularnewline
4 & 7.4 & 12.8366 & -5.43659 \tabularnewline
5 & 6.7 & 12.8366 & -6.13659 \tabularnewline
6 & 12.6 & 12.8366 & -0.236593 \tabularnewline
7 & 14.8 & 13.7867 & 1.01334 \tabularnewline
8 & 13.3 & 12.8366 & 0.463407 \tabularnewline
9 & 11.1 & 12.8366 & -1.73659 \tabularnewline
10 & 8.2 & 12.8366 & -4.63659 \tabularnewline
11 & 11.4 & 12.8366 & -1.43659 \tabularnewline
12 & 6.4 & 12.8366 & -6.43659 \tabularnewline
13 & 10.6 & 12.8366 & -2.23659 \tabularnewline
14 & 12 & 13.7867 & -1.78666 \tabularnewline
15 & 6.3 & 13.7867 & -7.48666 \tabularnewline
16 & 11.3 & 13.2313 & -1.93129 \tabularnewline
17 & 11.9 & 12.8366 & -0.936593 \tabularnewline
18 & 9.3 & 13.7867 & -4.48666 \tabularnewline
19 & 9.6 & 12.2812 & -2.68122 \tabularnewline
20 & 10 & 13.7867 & -3.78666 \tabularnewline
21 & 6.4 & 12.8366 & -6.43659 \tabularnewline
22 & 13.8 & 12.8366 & 0.963407 \tabularnewline
23 & 10.8 & 13.7867 & -2.98666 \tabularnewline
24 & 13.8 & 12.8366 & 0.963407 \tabularnewline
25 & 11.7 & 12.8366 & -1.13659 \tabularnewline
26 & 10.9 & 12.8366 & -1.93659 \tabularnewline
27 & 16.1 & 12.2812 & 3.81878 \tabularnewline
28 & 13.4 & 13.2313 & 0.168714 \tabularnewline
29 & 9.9 & 12.8366 & -2.93659 \tabularnewline
30 & 11.5 & 13.7867 & -2.28666 \tabularnewline
31 & 8.3 & 13.7867 & -5.48666 \tabularnewline
32 & 11.7 & 13.7867 & -2.08666 \tabularnewline
33 & 9 & 12.8366 & -3.83659 \tabularnewline
34 & 9.7 & 12.8366 & -3.13659 \tabularnewline
35 & 10.8 & 12.8366 & -2.03659 \tabularnewline
36 & 10.3 & 12.8366 & -2.53659 \tabularnewline
37 & 10.4 & 13.7867 & -3.38666 \tabularnewline
38 & 12.7 & 12.2812 & 0.418783 \tabularnewline
39 & 9.3 & 12.8366 & -3.53659 \tabularnewline
40 & 11.8 & 13.7867 & -1.98666 \tabularnewline
41 & 5.9 & 12.8366 & -6.93659 \tabularnewline
42 & 11.4 & 12.8366 & -1.43659 \tabularnewline
43 & 13 & 12.8366 & 0.163407 \tabularnewline
44 & 10.8 & 12.8366 & -2.03659 \tabularnewline
45 & 12.3 & 12.2812 & 0.018783 \tabularnewline
46 & 11.3 & 13.7867 & -2.48666 \tabularnewline
47 & 11.8 & 12.8366 & -1.03659 \tabularnewline
48 & 7.9 & 12.2812 & -4.38122 \tabularnewline
49 & 12.7 & 13.7867 & -1.08666 \tabularnewline
50 & 12.3 & 12.2812 & 0.018783 \tabularnewline
51 & 11.6 & 12.2812 & -0.681217 \tabularnewline
52 & 6.7 & 12.2812 & -5.58122 \tabularnewline
53 & 10.9 & 12.8366 & -1.93659 \tabularnewline
54 & 12.1 & 12.2812 & -0.181217 \tabularnewline
55 & 13.3 & 12.8366 & 0.463407 \tabularnewline
56 & 10.1 & 12.8366 & -2.73659 \tabularnewline
57 & 5.7 & 13.2313 & -7.53129 \tabularnewline
58 & 14.3 & 12.8366 & 1.46341 \tabularnewline
59 & 8 & 13.2313 & -5.23129 \tabularnewline
60 & 13.3 & 12.2812 & 1.01878 \tabularnewline
61 & 9.3 & 12.8366 & -3.53659 \tabularnewline
62 & 12.5 & 13.7867 & -1.28666 \tabularnewline
63 & 7.6 & 13.7867 & -6.18666 \tabularnewline
64 & 15.9 & 12.8366 & 3.06341 \tabularnewline
65 & 9.2 & 13.7867 & -4.58666 \tabularnewline
66 & 9.1 & 12.2812 & -3.18122 \tabularnewline
67 & 11.1 & 13.7867 & -2.68666 \tabularnewline
68 & 13 & 12.8366 & 0.163407 \tabularnewline
69 & 14.5 & 12.8366 & 1.66341 \tabularnewline
70 & 12.2 & 13.2313 & -1.03129 \tabularnewline
71 & 12.3 & 13.7867 & -1.48666 \tabularnewline
72 & 11.4 & 13.7867 & -2.38666 \tabularnewline
73 & 8.8 & 13.2313 & -4.43129 \tabularnewline
74 & 14.6 & 12.2812 & 2.31878 \tabularnewline
75 & 12.6 & 13.7867 & -1.18666 \tabularnewline
76 & 13 & 13.7867 & -0.786662 \tabularnewline
77 & 12.6 & 12.2812 & 0.318783 \tabularnewline
78 & 13.2 & 13.7867 & -0.586662 \tabularnewline
79 & 9.9 & 13.2313 & -3.33129 \tabularnewline
80 & 7.7 & 12.8366 & -5.13659 \tabularnewline
81 & 10.5 & 13.2313 & -2.73129 \tabularnewline
82 & 13.4 & 13.2313 & 0.168714 \tabularnewline
83 & 10.9 & 13.2313 & -2.33129 \tabularnewline
84 & 4.3 & 12.2812 & -7.98122 \tabularnewline
85 & 10.3 & 13.2313 & -2.93129 \tabularnewline
86 & 11.8 & 12.2812 & -0.481217 \tabularnewline
87 & 11.2 & 12.2812 & -1.08122 \tabularnewline
88 & 11.4 & 13.2313 & -1.83129 \tabularnewline
89 & 8.6 & 13.2313 & -4.63129 \tabularnewline
90 & 13.2 & 13.2313 & -0.031286 \tabularnewline
91 & 12.6 & 12.2812 & 0.318783 \tabularnewline
92 & 5.6 & 12.2812 & -6.68122 \tabularnewline
93 & 9.9 & 12.2812 & -2.38122 \tabularnewline
94 & 8.8 & 13.2313 & -4.43129 \tabularnewline
95 & 7.7 & 12.2812 & -4.58122 \tabularnewline
96 & 9 & 13.2313 & -4.23129 \tabularnewline
97 & 7.3 & 12.2812 & -4.98122 \tabularnewline
98 & 11.4 & 12.2812 & -0.881217 \tabularnewline
99 & 13.6 & 12.2812 & 1.31878 \tabularnewline
100 & 7.9 & 12.2812 & -4.38122 \tabularnewline
101 & 10.7 & 12.2812 & -1.58122 \tabularnewline
102 & 10.3 & 13.2313 & -2.93129 \tabularnewline
103 & 8.3 & 12.2812 & -3.98122 \tabularnewline
104 & 9.6 & 12.2812 & -2.68122 \tabularnewline
105 & 14.2 & 12.2812 & 1.91878 \tabularnewline
106 & 8.5 & 13.2313 & -4.73129 \tabularnewline
107 & 13.5 & 13.2313 & 0.268714 \tabularnewline
108 & 4.9 & 13.2313 & -8.33129 \tabularnewline
109 & 6.4 & 13.2313 & -6.83129 \tabularnewline
110 & 9.6 & 13.2313 & -3.63129 \tabularnewline
111 & 11.6 & 13.2313 & -1.63129 \tabularnewline
112 & 11.1 & 12.2812 & -1.18122 \tabularnewline
113 & 4.35 & 12.8366 & -8.48659 \tabularnewline
114 & 12.7 & 12.8366 & -0.136593 \tabularnewline
115 & 18.1 & 12.8366 & 5.26341 \tabularnewline
116 & 17.85 & 12.8366 & 5.01341 \tabularnewline
117 & 16.6 & 13.2313 & 3.36871 \tabularnewline
118 & 12.6 & 12.2812 & 0.318783 \tabularnewline
119 & 17.1 & 12.8366 & 4.26341 \tabularnewline
120 & 19.1 & 13.7867 & 5.31334 \tabularnewline
121 & 16.1 & 12.8366 & 3.26341 \tabularnewline
122 & 13.35 & 13.7867 & -0.436662 \tabularnewline
123 & 18.4 & 13.7867 & 4.61334 \tabularnewline
124 & 14.7 & 12.8366 & 1.86341 \tabularnewline
125 & 10.6 & 12.8366 & -2.23659 \tabularnewline
126 & 12.6 & 12.8366 & -0.236593 \tabularnewline
127 & 16.2 & 12.8366 & 3.36341 \tabularnewline
128 & 13.6 & 12.8366 & 0.763407 \tabularnewline
129 & 18.9 & 12.2812 & 6.61878 \tabularnewline
130 & 14.1 & 12.8366 & 1.26341 \tabularnewline
131 & 14.5 & 12.8366 & 1.66341 \tabularnewline
132 & 16.15 & 13.7867 & 2.36334 \tabularnewline
133 & 14.75 & 12.8366 & 1.91341 \tabularnewline
134 & 14.8 & 12.8366 & 1.96341 \tabularnewline
135 & 12.45 & 12.8366 & -0.386593 \tabularnewline
136 & 12.65 & 12.8366 & -0.186593 \tabularnewline
137 & 17.35 & 12.8366 & 4.51341 \tabularnewline
138 & 8.6 & 12.8366 & -4.23659 \tabularnewline
139 & 18.4 & 13.7867 & 4.61334 \tabularnewline
140 & 16.1 & 12.8366 & 3.26341 \tabularnewline
141 & 11.6 & 12.2812 & -0.681217 \tabularnewline
142 & 17.75 & 12.8366 & 4.91341 \tabularnewline
143 & 15.25 & 12.8366 & 2.41341 \tabularnewline
144 & 17.65 & 12.8366 & 4.81341 \tabularnewline
145 & 16.35 & 13.7867 & 2.56334 \tabularnewline
146 & 17.65 & 13.7867 & 3.86334 \tabularnewline
147 & 13.6 & 12.8366 & 0.763407 \tabularnewline
148 & 14.35 & 13.7867 & 0.563338 \tabularnewline
149 & 14.75 & 13.7867 & 0.963338 \tabularnewline
150 & 18.25 & 12.8366 & 5.41341 \tabularnewline
151 & 9.9 & 13.7867 & -3.88666 \tabularnewline
152 & 16 & 12.8366 & 3.16341 \tabularnewline
153 & 18.25 & 12.8366 & 5.41341 \tabularnewline
154 & 16.85 & 13.7867 & 3.06334 \tabularnewline
155 & 14.6 & 12.2812 & 2.31878 \tabularnewline
156 & 13.85 & 12.2812 & 1.56878 \tabularnewline
157 & 18.95 & 12.8366 & 6.11341 \tabularnewline
158 & 15.6 & 13.7867 & 1.81334 \tabularnewline
159 & 14.85 & 13.2313 & 1.61871 \tabularnewline
160 & 11.75 & 13.2313 & -1.48129 \tabularnewline
161 & 18.45 & 13.2313 & 5.21871 \tabularnewline
162 & 15.9 & 12.2812 & 3.61878 \tabularnewline
163 & 17.1 & 13.7867 & 3.31334 \tabularnewline
164 & 16.1 & 12.8366 & 3.26341 \tabularnewline
165 & 19.9 & 13.2313 & 6.66871 \tabularnewline
166 & 10.95 & 12.2812 & -1.33122 \tabularnewline
167 & 18.45 & 13.2313 & 5.21871 \tabularnewline
168 & 15.1 & 12.2812 & 2.81878 \tabularnewline
169 & 15 & 13.2313 & 1.76871 \tabularnewline
170 & 11.35 & 13.2313 & -1.88129 \tabularnewline
171 & 15.95 & 12.2812 & 3.66878 \tabularnewline
172 & 18.1 & 13.2313 & 4.86871 \tabularnewline
173 & 14.6 & 12.2812 & 2.31878 \tabularnewline
174 & 15.4 & 12.8366 & 2.56341 \tabularnewline
175 & 15.4 & 12.8366 & 2.56341 \tabularnewline
176 & 17.6 & 12.2812 & 5.31878 \tabularnewline
177 & 13.35 & 12.8366 & 0.513407 \tabularnewline
178 & 19.1 & 13.7867 & 5.31334 \tabularnewline
179 & 15.35 & 12.2812 & 3.06878 \tabularnewline
180 & 7.6 & 13.7867 & -6.18666 \tabularnewline
181 & 13.4 & 13.2313 & 0.168714 \tabularnewline
182 & 13.9 & 13.2313 & 0.668714 \tabularnewline
183 & 19.1 & 12.8366 & 6.26341 \tabularnewline
184 & 15.25 & 13.2313 & 2.01871 \tabularnewline
185 & 12.9 & 12.2812 & 0.618783 \tabularnewline
186 & 16.1 & 13.2313 & 2.86871 \tabularnewline
187 & 17.35 & 13.2313 & 4.11871 \tabularnewline
188 & 13.15 & 13.2313 & -0.081286 \tabularnewline
189 & 12.15 & 13.2313 & -1.08129 \tabularnewline
190 & 12.6 & 12.2812 & 0.318783 \tabularnewline
191 & 10.35 & 12.2812 & -1.93122 \tabularnewline
192 & 15.4 & 12.2812 & 3.11878 \tabularnewline
193 & 9.6 & 12.2812 & -2.68122 \tabularnewline
194 & 18.2 & 13.2313 & 4.96871 \tabularnewline
195 & 13.6 & 13.2313 & 0.368714 \tabularnewline
196 & 14.85 & 12.2812 & 2.56878 \tabularnewline
197 & 14.75 & 13.7867 & 0.963338 \tabularnewline
198 & 14.1 & 13.2313 & 0.868714 \tabularnewline
199 & 14.9 & 13.2313 & 1.66871 \tabularnewline
200 & 16.25 & 13.2313 & 3.01871 \tabularnewline
201 & 19.25 & 12.8366 & 6.41341 \tabularnewline
202 & 13.6 & 12.2812 & 1.31878 \tabularnewline
203 & 13.6 & 13.7867 & -0.186662 \tabularnewline
204 & 15.65 & 13.2313 & 2.41871 \tabularnewline
205 & 12.75 & 12.8366 & -0.086593 \tabularnewline
206 & 14.6 & 13.2313 & 1.36871 \tabularnewline
207 & 9.85 & 12.8366 & -2.98659 \tabularnewline
208 & 12.65 & 12.2812 & 0.368783 \tabularnewline
209 & 19.2 & 13.2313 & 5.96871 \tabularnewline
210 & 16.6 & 12.2812 & 4.31878 \tabularnewline
211 & 11.2 & 12.2812 & -1.08122 \tabularnewline
212 & 15.25 & 12.8366 & 2.41341 \tabularnewline
213 & 11.9 & 13.7867 & -1.88666 \tabularnewline
214 & 13.2 & 13.2313 & -0.031286 \tabularnewline
215 & 16.35 & 13.7867 & 2.56334 \tabularnewline
216 & 12.4 & 12.8366 & -0.436593 \tabularnewline
217 & 15.85 & 12.2812 & 3.56878 \tabularnewline
218 & 18.15 & 12.8366 & 5.31341 \tabularnewline
219 & 11.15 & 12.2812 & -1.13122 \tabularnewline
220 & 15.65 & 13.2313 & 2.41871 \tabularnewline
221 & 17.75 & 13.7867 & 3.96334 \tabularnewline
222 & 7.65 & 13.2313 & -5.58129 \tabularnewline
223 & 12.35 & 12.8366 & -0.486593 \tabularnewline
224 & 15.6 & 12.8366 & 2.76341 \tabularnewline
225 & 19.3 & 13.7867 & 5.51334 \tabularnewline
226 & 15.2 & 13.2313 & 1.96871 \tabularnewline
227 & 17.1 & 13.7867 & 3.31334 \tabularnewline
228 & 15.6 & 12.2812 & 3.31878 \tabularnewline
229 & 18.4 & 12.8366 & 5.56341 \tabularnewline
230 & 19.05 & 13.7867 & 5.26334 \tabularnewline
231 & 18.55 & 13.7867 & 4.76334 \tabularnewline
232 & 19.1 & 13.7867 & 5.31334 \tabularnewline
233 & 13.1 & 12.2812 & 0.818783 \tabularnewline
234 & 12.85 & 12.8366 & 0.013407 \tabularnewline
235 & 9.5 & 12.8366 & -3.33659 \tabularnewline
236 & 4.5 & 12.8366 & -8.33659 \tabularnewline
237 & 11.85 & 13.2313 & -1.38129 \tabularnewline
238 & 13.6 & 12.8366 & 0.763407 \tabularnewline
239 & 11.7 & 12.8366 & -1.13659 \tabularnewline
240 & 12.4 & 12.2812 & 0.118783 \tabularnewline
241 & 13.35 & 13.7867 & -0.436662 \tabularnewline
242 & 11.4 & 13.2313 & -1.83129 \tabularnewline
243 & 14.9 & 12.2812 & 2.61878 \tabularnewline
244 & 19.9 & 13.2313 & 6.66871 \tabularnewline
245 & 11.2 & 12.2812 & -1.08122 \tabularnewline
246 & 14.6 & 12.2812 & 2.31878 \tabularnewline
247 & 17.6 & 13.7867 & 3.81334 \tabularnewline
248 & 14.05 & 12.8366 & 1.21341 \tabularnewline
249 & 16.1 & 13.7867 & 2.31334 \tabularnewline
250 & 13.35 & 12.8366 & 0.513407 \tabularnewline
251 & 11.85 & 12.8366 & -0.986593 \tabularnewline
252 & 11.95 & 13.7867 & -1.83666 \tabularnewline
253 & 14.75 & 12.2812 & 2.46878 \tabularnewline
254 & 15.15 & 13.2313 & 1.91871 \tabularnewline
255 & 13.2 & 12.8366 & 0.363407 \tabularnewline
256 & 16.85 & 13.2313 & 3.61871 \tabularnewline
257 & 7.85 & 12.2812 & -4.43122 \tabularnewline
258 & 7.7 & 13.7867 & -6.08666 \tabularnewline
259 & 12.6 & 13.2313 & -0.631286 \tabularnewline
260 & 7.85 & 12.2812 & -4.43122 \tabularnewline
261 & 10.95 & 12.2812 & -1.33122 \tabularnewline
262 & 12.35 & 13.2313 & -0.881286 \tabularnewline
263 & 9.95 & 12.2812 & -2.33122 \tabularnewline
264 & 14.9 & 12.2812 & 2.61878 \tabularnewline
265 & 16.65 & 13.2313 & 3.41871 \tabularnewline
266 & 13.4 & 12.2812 & 1.11878 \tabularnewline
267 & 13.95 & 13.2313 & 0.718714 \tabularnewline
268 & 15.7 & 13.2313 & 2.46871 \tabularnewline
269 & 16.85 & 12.2812 & 4.56878 \tabularnewline
270 & 10.95 & 12.2812 & -1.33122 \tabularnewline
271 & 15.35 & 13.2313 & 2.11871 \tabularnewline
272 & 12.2 & 12.2812 & -0.081217 \tabularnewline
273 & 15.1 & 13.2313 & 1.86871 \tabularnewline
274 & 17.75 & 13.2313 & 4.51871 \tabularnewline
275 & 15.2 & 12.2812 & 2.91878 \tabularnewline
276 & 14.6 & 13.7867 & 0.813338 \tabularnewline
277 & 16.65 & 13.2313 & 3.41871 \tabularnewline
278 & 8.1 & 12.2812 & -4.18122 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265443&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]13.7867[/C][C]-0.886662[/C][/ROW]
[ROW][C]2[/C][C]12.2[/C][C]12.8366[/C][C]-0.636593[/C][/ROW]
[ROW][C]3[/C][C]12.8[/C][C]13.7867[/C][C]-0.986662[/C][/ROW]
[ROW][C]4[/C][C]7.4[/C][C]12.8366[/C][C]-5.43659[/C][/ROW]
[ROW][C]5[/C][C]6.7[/C][C]12.8366[/C][C]-6.13659[/C][/ROW]
[ROW][C]6[/C][C]12.6[/C][C]12.8366[/C][C]-0.236593[/C][/ROW]
[ROW][C]7[/C][C]14.8[/C][C]13.7867[/C][C]1.01334[/C][/ROW]
[ROW][C]8[/C][C]13.3[/C][C]12.8366[/C][C]0.463407[/C][/ROW]
[ROW][C]9[/C][C]11.1[/C][C]12.8366[/C][C]-1.73659[/C][/ROW]
[ROW][C]10[/C][C]8.2[/C][C]12.8366[/C][C]-4.63659[/C][/ROW]
[ROW][C]11[/C][C]11.4[/C][C]12.8366[/C][C]-1.43659[/C][/ROW]
[ROW][C]12[/C][C]6.4[/C][C]12.8366[/C][C]-6.43659[/C][/ROW]
[ROW][C]13[/C][C]10.6[/C][C]12.8366[/C][C]-2.23659[/C][/ROW]
[ROW][C]14[/C][C]12[/C][C]13.7867[/C][C]-1.78666[/C][/ROW]
[ROW][C]15[/C][C]6.3[/C][C]13.7867[/C][C]-7.48666[/C][/ROW]
[ROW][C]16[/C][C]11.3[/C][C]13.2313[/C][C]-1.93129[/C][/ROW]
[ROW][C]17[/C][C]11.9[/C][C]12.8366[/C][C]-0.936593[/C][/ROW]
[ROW][C]18[/C][C]9.3[/C][C]13.7867[/C][C]-4.48666[/C][/ROW]
[ROW][C]19[/C][C]9.6[/C][C]12.2812[/C][C]-2.68122[/C][/ROW]
[ROW][C]20[/C][C]10[/C][C]13.7867[/C][C]-3.78666[/C][/ROW]
[ROW][C]21[/C][C]6.4[/C][C]12.8366[/C][C]-6.43659[/C][/ROW]
[ROW][C]22[/C][C]13.8[/C][C]12.8366[/C][C]0.963407[/C][/ROW]
[ROW][C]23[/C][C]10.8[/C][C]13.7867[/C][C]-2.98666[/C][/ROW]
[ROW][C]24[/C][C]13.8[/C][C]12.8366[/C][C]0.963407[/C][/ROW]
[ROW][C]25[/C][C]11.7[/C][C]12.8366[/C][C]-1.13659[/C][/ROW]
[ROW][C]26[/C][C]10.9[/C][C]12.8366[/C][C]-1.93659[/C][/ROW]
[ROW][C]27[/C][C]16.1[/C][C]12.2812[/C][C]3.81878[/C][/ROW]
[ROW][C]28[/C][C]13.4[/C][C]13.2313[/C][C]0.168714[/C][/ROW]
[ROW][C]29[/C][C]9.9[/C][C]12.8366[/C][C]-2.93659[/C][/ROW]
[ROW][C]30[/C][C]11.5[/C][C]13.7867[/C][C]-2.28666[/C][/ROW]
[ROW][C]31[/C][C]8.3[/C][C]13.7867[/C][C]-5.48666[/C][/ROW]
[ROW][C]32[/C][C]11.7[/C][C]13.7867[/C][C]-2.08666[/C][/ROW]
[ROW][C]33[/C][C]9[/C][C]12.8366[/C][C]-3.83659[/C][/ROW]
[ROW][C]34[/C][C]9.7[/C][C]12.8366[/C][C]-3.13659[/C][/ROW]
[ROW][C]35[/C][C]10.8[/C][C]12.8366[/C][C]-2.03659[/C][/ROW]
[ROW][C]36[/C][C]10.3[/C][C]12.8366[/C][C]-2.53659[/C][/ROW]
[ROW][C]37[/C][C]10.4[/C][C]13.7867[/C][C]-3.38666[/C][/ROW]
[ROW][C]38[/C][C]12.7[/C][C]12.2812[/C][C]0.418783[/C][/ROW]
[ROW][C]39[/C][C]9.3[/C][C]12.8366[/C][C]-3.53659[/C][/ROW]
[ROW][C]40[/C][C]11.8[/C][C]13.7867[/C][C]-1.98666[/C][/ROW]
[ROW][C]41[/C][C]5.9[/C][C]12.8366[/C][C]-6.93659[/C][/ROW]
[ROW][C]42[/C][C]11.4[/C][C]12.8366[/C][C]-1.43659[/C][/ROW]
[ROW][C]43[/C][C]13[/C][C]12.8366[/C][C]0.163407[/C][/ROW]
[ROW][C]44[/C][C]10.8[/C][C]12.8366[/C][C]-2.03659[/C][/ROW]
[ROW][C]45[/C][C]12.3[/C][C]12.2812[/C][C]0.018783[/C][/ROW]
[ROW][C]46[/C][C]11.3[/C][C]13.7867[/C][C]-2.48666[/C][/ROW]
[ROW][C]47[/C][C]11.8[/C][C]12.8366[/C][C]-1.03659[/C][/ROW]
[ROW][C]48[/C][C]7.9[/C][C]12.2812[/C][C]-4.38122[/C][/ROW]
[ROW][C]49[/C][C]12.7[/C][C]13.7867[/C][C]-1.08666[/C][/ROW]
[ROW][C]50[/C][C]12.3[/C][C]12.2812[/C][C]0.018783[/C][/ROW]
[ROW][C]51[/C][C]11.6[/C][C]12.2812[/C][C]-0.681217[/C][/ROW]
[ROW][C]52[/C][C]6.7[/C][C]12.2812[/C][C]-5.58122[/C][/ROW]
[ROW][C]53[/C][C]10.9[/C][C]12.8366[/C][C]-1.93659[/C][/ROW]
[ROW][C]54[/C][C]12.1[/C][C]12.2812[/C][C]-0.181217[/C][/ROW]
[ROW][C]55[/C][C]13.3[/C][C]12.8366[/C][C]0.463407[/C][/ROW]
[ROW][C]56[/C][C]10.1[/C][C]12.8366[/C][C]-2.73659[/C][/ROW]
[ROW][C]57[/C][C]5.7[/C][C]13.2313[/C][C]-7.53129[/C][/ROW]
[ROW][C]58[/C][C]14.3[/C][C]12.8366[/C][C]1.46341[/C][/ROW]
[ROW][C]59[/C][C]8[/C][C]13.2313[/C][C]-5.23129[/C][/ROW]
[ROW][C]60[/C][C]13.3[/C][C]12.2812[/C][C]1.01878[/C][/ROW]
[ROW][C]61[/C][C]9.3[/C][C]12.8366[/C][C]-3.53659[/C][/ROW]
[ROW][C]62[/C][C]12.5[/C][C]13.7867[/C][C]-1.28666[/C][/ROW]
[ROW][C]63[/C][C]7.6[/C][C]13.7867[/C][C]-6.18666[/C][/ROW]
[ROW][C]64[/C][C]15.9[/C][C]12.8366[/C][C]3.06341[/C][/ROW]
[ROW][C]65[/C][C]9.2[/C][C]13.7867[/C][C]-4.58666[/C][/ROW]
[ROW][C]66[/C][C]9.1[/C][C]12.2812[/C][C]-3.18122[/C][/ROW]
[ROW][C]67[/C][C]11.1[/C][C]13.7867[/C][C]-2.68666[/C][/ROW]
[ROW][C]68[/C][C]13[/C][C]12.8366[/C][C]0.163407[/C][/ROW]
[ROW][C]69[/C][C]14.5[/C][C]12.8366[/C][C]1.66341[/C][/ROW]
[ROW][C]70[/C][C]12.2[/C][C]13.2313[/C][C]-1.03129[/C][/ROW]
[ROW][C]71[/C][C]12.3[/C][C]13.7867[/C][C]-1.48666[/C][/ROW]
[ROW][C]72[/C][C]11.4[/C][C]13.7867[/C][C]-2.38666[/C][/ROW]
[ROW][C]73[/C][C]8.8[/C][C]13.2313[/C][C]-4.43129[/C][/ROW]
[ROW][C]74[/C][C]14.6[/C][C]12.2812[/C][C]2.31878[/C][/ROW]
[ROW][C]75[/C][C]12.6[/C][C]13.7867[/C][C]-1.18666[/C][/ROW]
[ROW][C]76[/C][C]13[/C][C]13.7867[/C][C]-0.786662[/C][/ROW]
[ROW][C]77[/C][C]12.6[/C][C]12.2812[/C][C]0.318783[/C][/ROW]
[ROW][C]78[/C][C]13.2[/C][C]13.7867[/C][C]-0.586662[/C][/ROW]
[ROW][C]79[/C][C]9.9[/C][C]13.2313[/C][C]-3.33129[/C][/ROW]
[ROW][C]80[/C][C]7.7[/C][C]12.8366[/C][C]-5.13659[/C][/ROW]
[ROW][C]81[/C][C]10.5[/C][C]13.2313[/C][C]-2.73129[/C][/ROW]
[ROW][C]82[/C][C]13.4[/C][C]13.2313[/C][C]0.168714[/C][/ROW]
[ROW][C]83[/C][C]10.9[/C][C]13.2313[/C][C]-2.33129[/C][/ROW]
[ROW][C]84[/C][C]4.3[/C][C]12.2812[/C][C]-7.98122[/C][/ROW]
[ROW][C]85[/C][C]10.3[/C][C]13.2313[/C][C]-2.93129[/C][/ROW]
[ROW][C]86[/C][C]11.8[/C][C]12.2812[/C][C]-0.481217[/C][/ROW]
[ROW][C]87[/C][C]11.2[/C][C]12.2812[/C][C]-1.08122[/C][/ROW]
[ROW][C]88[/C][C]11.4[/C][C]13.2313[/C][C]-1.83129[/C][/ROW]
[ROW][C]89[/C][C]8.6[/C][C]13.2313[/C][C]-4.63129[/C][/ROW]
[ROW][C]90[/C][C]13.2[/C][C]13.2313[/C][C]-0.031286[/C][/ROW]
[ROW][C]91[/C][C]12.6[/C][C]12.2812[/C][C]0.318783[/C][/ROW]
[ROW][C]92[/C][C]5.6[/C][C]12.2812[/C][C]-6.68122[/C][/ROW]
[ROW][C]93[/C][C]9.9[/C][C]12.2812[/C][C]-2.38122[/C][/ROW]
[ROW][C]94[/C][C]8.8[/C][C]13.2313[/C][C]-4.43129[/C][/ROW]
[ROW][C]95[/C][C]7.7[/C][C]12.2812[/C][C]-4.58122[/C][/ROW]
[ROW][C]96[/C][C]9[/C][C]13.2313[/C][C]-4.23129[/C][/ROW]
[ROW][C]97[/C][C]7.3[/C][C]12.2812[/C][C]-4.98122[/C][/ROW]
[ROW][C]98[/C][C]11.4[/C][C]12.2812[/C][C]-0.881217[/C][/ROW]
[ROW][C]99[/C][C]13.6[/C][C]12.2812[/C][C]1.31878[/C][/ROW]
[ROW][C]100[/C][C]7.9[/C][C]12.2812[/C][C]-4.38122[/C][/ROW]
[ROW][C]101[/C][C]10.7[/C][C]12.2812[/C][C]-1.58122[/C][/ROW]
[ROW][C]102[/C][C]10.3[/C][C]13.2313[/C][C]-2.93129[/C][/ROW]
[ROW][C]103[/C][C]8.3[/C][C]12.2812[/C][C]-3.98122[/C][/ROW]
[ROW][C]104[/C][C]9.6[/C][C]12.2812[/C][C]-2.68122[/C][/ROW]
[ROW][C]105[/C][C]14.2[/C][C]12.2812[/C][C]1.91878[/C][/ROW]
[ROW][C]106[/C][C]8.5[/C][C]13.2313[/C][C]-4.73129[/C][/ROW]
[ROW][C]107[/C][C]13.5[/C][C]13.2313[/C][C]0.268714[/C][/ROW]
[ROW][C]108[/C][C]4.9[/C][C]13.2313[/C][C]-8.33129[/C][/ROW]
[ROW][C]109[/C][C]6.4[/C][C]13.2313[/C][C]-6.83129[/C][/ROW]
[ROW][C]110[/C][C]9.6[/C][C]13.2313[/C][C]-3.63129[/C][/ROW]
[ROW][C]111[/C][C]11.6[/C][C]13.2313[/C][C]-1.63129[/C][/ROW]
[ROW][C]112[/C][C]11.1[/C][C]12.2812[/C][C]-1.18122[/C][/ROW]
[ROW][C]113[/C][C]4.35[/C][C]12.8366[/C][C]-8.48659[/C][/ROW]
[ROW][C]114[/C][C]12.7[/C][C]12.8366[/C][C]-0.136593[/C][/ROW]
[ROW][C]115[/C][C]18.1[/C][C]12.8366[/C][C]5.26341[/C][/ROW]
[ROW][C]116[/C][C]17.85[/C][C]12.8366[/C][C]5.01341[/C][/ROW]
[ROW][C]117[/C][C]16.6[/C][C]13.2313[/C][C]3.36871[/C][/ROW]
[ROW][C]118[/C][C]12.6[/C][C]12.2812[/C][C]0.318783[/C][/ROW]
[ROW][C]119[/C][C]17.1[/C][C]12.8366[/C][C]4.26341[/C][/ROW]
[ROW][C]120[/C][C]19.1[/C][C]13.7867[/C][C]5.31334[/C][/ROW]
[ROW][C]121[/C][C]16.1[/C][C]12.8366[/C][C]3.26341[/C][/ROW]
[ROW][C]122[/C][C]13.35[/C][C]13.7867[/C][C]-0.436662[/C][/ROW]
[ROW][C]123[/C][C]18.4[/C][C]13.7867[/C][C]4.61334[/C][/ROW]
[ROW][C]124[/C][C]14.7[/C][C]12.8366[/C][C]1.86341[/C][/ROW]
[ROW][C]125[/C][C]10.6[/C][C]12.8366[/C][C]-2.23659[/C][/ROW]
[ROW][C]126[/C][C]12.6[/C][C]12.8366[/C][C]-0.236593[/C][/ROW]
[ROW][C]127[/C][C]16.2[/C][C]12.8366[/C][C]3.36341[/C][/ROW]
[ROW][C]128[/C][C]13.6[/C][C]12.8366[/C][C]0.763407[/C][/ROW]
[ROW][C]129[/C][C]18.9[/C][C]12.2812[/C][C]6.61878[/C][/ROW]
[ROW][C]130[/C][C]14.1[/C][C]12.8366[/C][C]1.26341[/C][/ROW]
[ROW][C]131[/C][C]14.5[/C][C]12.8366[/C][C]1.66341[/C][/ROW]
[ROW][C]132[/C][C]16.15[/C][C]13.7867[/C][C]2.36334[/C][/ROW]
[ROW][C]133[/C][C]14.75[/C][C]12.8366[/C][C]1.91341[/C][/ROW]
[ROW][C]134[/C][C]14.8[/C][C]12.8366[/C][C]1.96341[/C][/ROW]
[ROW][C]135[/C][C]12.45[/C][C]12.8366[/C][C]-0.386593[/C][/ROW]
[ROW][C]136[/C][C]12.65[/C][C]12.8366[/C][C]-0.186593[/C][/ROW]
[ROW][C]137[/C][C]17.35[/C][C]12.8366[/C][C]4.51341[/C][/ROW]
[ROW][C]138[/C][C]8.6[/C][C]12.8366[/C][C]-4.23659[/C][/ROW]
[ROW][C]139[/C][C]18.4[/C][C]13.7867[/C][C]4.61334[/C][/ROW]
[ROW][C]140[/C][C]16.1[/C][C]12.8366[/C][C]3.26341[/C][/ROW]
[ROW][C]141[/C][C]11.6[/C][C]12.2812[/C][C]-0.681217[/C][/ROW]
[ROW][C]142[/C][C]17.75[/C][C]12.8366[/C][C]4.91341[/C][/ROW]
[ROW][C]143[/C][C]15.25[/C][C]12.8366[/C][C]2.41341[/C][/ROW]
[ROW][C]144[/C][C]17.65[/C][C]12.8366[/C][C]4.81341[/C][/ROW]
[ROW][C]145[/C][C]16.35[/C][C]13.7867[/C][C]2.56334[/C][/ROW]
[ROW][C]146[/C][C]17.65[/C][C]13.7867[/C][C]3.86334[/C][/ROW]
[ROW][C]147[/C][C]13.6[/C][C]12.8366[/C][C]0.763407[/C][/ROW]
[ROW][C]148[/C][C]14.35[/C][C]13.7867[/C][C]0.563338[/C][/ROW]
[ROW][C]149[/C][C]14.75[/C][C]13.7867[/C][C]0.963338[/C][/ROW]
[ROW][C]150[/C][C]18.25[/C][C]12.8366[/C][C]5.41341[/C][/ROW]
[ROW][C]151[/C][C]9.9[/C][C]13.7867[/C][C]-3.88666[/C][/ROW]
[ROW][C]152[/C][C]16[/C][C]12.8366[/C][C]3.16341[/C][/ROW]
[ROW][C]153[/C][C]18.25[/C][C]12.8366[/C][C]5.41341[/C][/ROW]
[ROW][C]154[/C][C]16.85[/C][C]13.7867[/C][C]3.06334[/C][/ROW]
[ROW][C]155[/C][C]14.6[/C][C]12.2812[/C][C]2.31878[/C][/ROW]
[ROW][C]156[/C][C]13.85[/C][C]12.2812[/C][C]1.56878[/C][/ROW]
[ROW][C]157[/C][C]18.95[/C][C]12.8366[/C][C]6.11341[/C][/ROW]
[ROW][C]158[/C][C]15.6[/C][C]13.7867[/C][C]1.81334[/C][/ROW]
[ROW][C]159[/C][C]14.85[/C][C]13.2313[/C][C]1.61871[/C][/ROW]
[ROW][C]160[/C][C]11.75[/C][C]13.2313[/C][C]-1.48129[/C][/ROW]
[ROW][C]161[/C][C]18.45[/C][C]13.2313[/C][C]5.21871[/C][/ROW]
[ROW][C]162[/C][C]15.9[/C][C]12.2812[/C][C]3.61878[/C][/ROW]
[ROW][C]163[/C][C]17.1[/C][C]13.7867[/C][C]3.31334[/C][/ROW]
[ROW][C]164[/C][C]16.1[/C][C]12.8366[/C][C]3.26341[/C][/ROW]
[ROW][C]165[/C][C]19.9[/C][C]13.2313[/C][C]6.66871[/C][/ROW]
[ROW][C]166[/C][C]10.95[/C][C]12.2812[/C][C]-1.33122[/C][/ROW]
[ROW][C]167[/C][C]18.45[/C][C]13.2313[/C][C]5.21871[/C][/ROW]
[ROW][C]168[/C][C]15.1[/C][C]12.2812[/C][C]2.81878[/C][/ROW]
[ROW][C]169[/C][C]15[/C][C]13.2313[/C][C]1.76871[/C][/ROW]
[ROW][C]170[/C][C]11.35[/C][C]13.2313[/C][C]-1.88129[/C][/ROW]
[ROW][C]171[/C][C]15.95[/C][C]12.2812[/C][C]3.66878[/C][/ROW]
[ROW][C]172[/C][C]18.1[/C][C]13.2313[/C][C]4.86871[/C][/ROW]
[ROW][C]173[/C][C]14.6[/C][C]12.2812[/C][C]2.31878[/C][/ROW]
[ROW][C]174[/C][C]15.4[/C][C]12.8366[/C][C]2.56341[/C][/ROW]
[ROW][C]175[/C][C]15.4[/C][C]12.8366[/C][C]2.56341[/C][/ROW]
[ROW][C]176[/C][C]17.6[/C][C]12.2812[/C][C]5.31878[/C][/ROW]
[ROW][C]177[/C][C]13.35[/C][C]12.8366[/C][C]0.513407[/C][/ROW]
[ROW][C]178[/C][C]19.1[/C][C]13.7867[/C][C]5.31334[/C][/ROW]
[ROW][C]179[/C][C]15.35[/C][C]12.2812[/C][C]3.06878[/C][/ROW]
[ROW][C]180[/C][C]7.6[/C][C]13.7867[/C][C]-6.18666[/C][/ROW]
[ROW][C]181[/C][C]13.4[/C][C]13.2313[/C][C]0.168714[/C][/ROW]
[ROW][C]182[/C][C]13.9[/C][C]13.2313[/C][C]0.668714[/C][/ROW]
[ROW][C]183[/C][C]19.1[/C][C]12.8366[/C][C]6.26341[/C][/ROW]
[ROW][C]184[/C][C]15.25[/C][C]13.2313[/C][C]2.01871[/C][/ROW]
[ROW][C]185[/C][C]12.9[/C][C]12.2812[/C][C]0.618783[/C][/ROW]
[ROW][C]186[/C][C]16.1[/C][C]13.2313[/C][C]2.86871[/C][/ROW]
[ROW][C]187[/C][C]17.35[/C][C]13.2313[/C][C]4.11871[/C][/ROW]
[ROW][C]188[/C][C]13.15[/C][C]13.2313[/C][C]-0.081286[/C][/ROW]
[ROW][C]189[/C][C]12.15[/C][C]13.2313[/C][C]-1.08129[/C][/ROW]
[ROW][C]190[/C][C]12.6[/C][C]12.2812[/C][C]0.318783[/C][/ROW]
[ROW][C]191[/C][C]10.35[/C][C]12.2812[/C][C]-1.93122[/C][/ROW]
[ROW][C]192[/C][C]15.4[/C][C]12.2812[/C][C]3.11878[/C][/ROW]
[ROW][C]193[/C][C]9.6[/C][C]12.2812[/C][C]-2.68122[/C][/ROW]
[ROW][C]194[/C][C]18.2[/C][C]13.2313[/C][C]4.96871[/C][/ROW]
[ROW][C]195[/C][C]13.6[/C][C]13.2313[/C][C]0.368714[/C][/ROW]
[ROW][C]196[/C][C]14.85[/C][C]12.2812[/C][C]2.56878[/C][/ROW]
[ROW][C]197[/C][C]14.75[/C][C]13.7867[/C][C]0.963338[/C][/ROW]
[ROW][C]198[/C][C]14.1[/C][C]13.2313[/C][C]0.868714[/C][/ROW]
[ROW][C]199[/C][C]14.9[/C][C]13.2313[/C][C]1.66871[/C][/ROW]
[ROW][C]200[/C][C]16.25[/C][C]13.2313[/C][C]3.01871[/C][/ROW]
[ROW][C]201[/C][C]19.25[/C][C]12.8366[/C][C]6.41341[/C][/ROW]
[ROW][C]202[/C][C]13.6[/C][C]12.2812[/C][C]1.31878[/C][/ROW]
[ROW][C]203[/C][C]13.6[/C][C]13.7867[/C][C]-0.186662[/C][/ROW]
[ROW][C]204[/C][C]15.65[/C][C]13.2313[/C][C]2.41871[/C][/ROW]
[ROW][C]205[/C][C]12.75[/C][C]12.8366[/C][C]-0.086593[/C][/ROW]
[ROW][C]206[/C][C]14.6[/C][C]13.2313[/C][C]1.36871[/C][/ROW]
[ROW][C]207[/C][C]9.85[/C][C]12.8366[/C][C]-2.98659[/C][/ROW]
[ROW][C]208[/C][C]12.65[/C][C]12.2812[/C][C]0.368783[/C][/ROW]
[ROW][C]209[/C][C]19.2[/C][C]13.2313[/C][C]5.96871[/C][/ROW]
[ROW][C]210[/C][C]16.6[/C][C]12.2812[/C][C]4.31878[/C][/ROW]
[ROW][C]211[/C][C]11.2[/C][C]12.2812[/C][C]-1.08122[/C][/ROW]
[ROW][C]212[/C][C]15.25[/C][C]12.8366[/C][C]2.41341[/C][/ROW]
[ROW][C]213[/C][C]11.9[/C][C]13.7867[/C][C]-1.88666[/C][/ROW]
[ROW][C]214[/C][C]13.2[/C][C]13.2313[/C][C]-0.031286[/C][/ROW]
[ROW][C]215[/C][C]16.35[/C][C]13.7867[/C][C]2.56334[/C][/ROW]
[ROW][C]216[/C][C]12.4[/C][C]12.8366[/C][C]-0.436593[/C][/ROW]
[ROW][C]217[/C][C]15.85[/C][C]12.2812[/C][C]3.56878[/C][/ROW]
[ROW][C]218[/C][C]18.15[/C][C]12.8366[/C][C]5.31341[/C][/ROW]
[ROW][C]219[/C][C]11.15[/C][C]12.2812[/C][C]-1.13122[/C][/ROW]
[ROW][C]220[/C][C]15.65[/C][C]13.2313[/C][C]2.41871[/C][/ROW]
[ROW][C]221[/C][C]17.75[/C][C]13.7867[/C][C]3.96334[/C][/ROW]
[ROW][C]222[/C][C]7.65[/C][C]13.2313[/C][C]-5.58129[/C][/ROW]
[ROW][C]223[/C][C]12.35[/C][C]12.8366[/C][C]-0.486593[/C][/ROW]
[ROW][C]224[/C][C]15.6[/C][C]12.8366[/C][C]2.76341[/C][/ROW]
[ROW][C]225[/C][C]19.3[/C][C]13.7867[/C][C]5.51334[/C][/ROW]
[ROW][C]226[/C][C]15.2[/C][C]13.2313[/C][C]1.96871[/C][/ROW]
[ROW][C]227[/C][C]17.1[/C][C]13.7867[/C][C]3.31334[/C][/ROW]
[ROW][C]228[/C][C]15.6[/C][C]12.2812[/C][C]3.31878[/C][/ROW]
[ROW][C]229[/C][C]18.4[/C][C]12.8366[/C][C]5.56341[/C][/ROW]
[ROW][C]230[/C][C]19.05[/C][C]13.7867[/C][C]5.26334[/C][/ROW]
[ROW][C]231[/C][C]18.55[/C][C]13.7867[/C][C]4.76334[/C][/ROW]
[ROW][C]232[/C][C]19.1[/C][C]13.7867[/C][C]5.31334[/C][/ROW]
[ROW][C]233[/C][C]13.1[/C][C]12.2812[/C][C]0.818783[/C][/ROW]
[ROW][C]234[/C][C]12.85[/C][C]12.8366[/C][C]0.013407[/C][/ROW]
[ROW][C]235[/C][C]9.5[/C][C]12.8366[/C][C]-3.33659[/C][/ROW]
[ROW][C]236[/C][C]4.5[/C][C]12.8366[/C][C]-8.33659[/C][/ROW]
[ROW][C]237[/C][C]11.85[/C][C]13.2313[/C][C]-1.38129[/C][/ROW]
[ROW][C]238[/C][C]13.6[/C][C]12.8366[/C][C]0.763407[/C][/ROW]
[ROW][C]239[/C][C]11.7[/C][C]12.8366[/C][C]-1.13659[/C][/ROW]
[ROW][C]240[/C][C]12.4[/C][C]12.2812[/C][C]0.118783[/C][/ROW]
[ROW][C]241[/C][C]13.35[/C][C]13.7867[/C][C]-0.436662[/C][/ROW]
[ROW][C]242[/C][C]11.4[/C][C]13.2313[/C][C]-1.83129[/C][/ROW]
[ROW][C]243[/C][C]14.9[/C][C]12.2812[/C][C]2.61878[/C][/ROW]
[ROW][C]244[/C][C]19.9[/C][C]13.2313[/C][C]6.66871[/C][/ROW]
[ROW][C]245[/C][C]11.2[/C][C]12.2812[/C][C]-1.08122[/C][/ROW]
[ROW][C]246[/C][C]14.6[/C][C]12.2812[/C][C]2.31878[/C][/ROW]
[ROW][C]247[/C][C]17.6[/C][C]13.7867[/C][C]3.81334[/C][/ROW]
[ROW][C]248[/C][C]14.05[/C][C]12.8366[/C][C]1.21341[/C][/ROW]
[ROW][C]249[/C][C]16.1[/C][C]13.7867[/C][C]2.31334[/C][/ROW]
[ROW][C]250[/C][C]13.35[/C][C]12.8366[/C][C]0.513407[/C][/ROW]
[ROW][C]251[/C][C]11.85[/C][C]12.8366[/C][C]-0.986593[/C][/ROW]
[ROW][C]252[/C][C]11.95[/C][C]13.7867[/C][C]-1.83666[/C][/ROW]
[ROW][C]253[/C][C]14.75[/C][C]12.2812[/C][C]2.46878[/C][/ROW]
[ROW][C]254[/C][C]15.15[/C][C]13.2313[/C][C]1.91871[/C][/ROW]
[ROW][C]255[/C][C]13.2[/C][C]12.8366[/C][C]0.363407[/C][/ROW]
[ROW][C]256[/C][C]16.85[/C][C]13.2313[/C][C]3.61871[/C][/ROW]
[ROW][C]257[/C][C]7.85[/C][C]12.2812[/C][C]-4.43122[/C][/ROW]
[ROW][C]258[/C][C]7.7[/C][C]13.7867[/C][C]-6.08666[/C][/ROW]
[ROW][C]259[/C][C]12.6[/C][C]13.2313[/C][C]-0.631286[/C][/ROW]
[ROW][C]260[/C][C]7.85[/C][C]12.2812[/C][C]-4.43122[/C][/ROW]
[ROW][C]261[/C][C]10.95[/C][C]12.2812[/C][C]-1.33122[/C][/ROW]
[ROW][C]262[/C][C]12.35[/C][C]13.2313[/C][C]-0.881286[/C][/ROW]
[ROW][C]263[/C][C]9.95[/C][C]12.2812[/C][C]-2.33122[/C][/ROW]
[ROW][C]264[/C][C]14.9[/C][C]12.2812[/C][C]2.61878[/C][/ROW]
[ROW][C]265[/C][C]16.65[/C][C]13.2313[/C][C]3.41871[/C][/ROW]
[ROW][C]266[/C][C]13.4[/C][C]12.2812[/C][C]1.11878[/C][/ROW]
[ROW][C]267[/C][C]13.95[/C][C]13.2313[/C][C]0.718714[/C][/ROW]
[ROW][C]268[/C][C]15.7[/C][C]13.2313[/C][C]2.46871[/C][/ROW]
[ROW][C]269[/C][C]16.85[/C][C]12.2812[/C][C]4.56878[/C][/ROW]
[ROW][C]270[/C][C]10.95[/C][C]12.2812[/C][C]-1.33122[/C][/ROW]
[ROW][C]271[/C][C]15.35[/C][C]13.2313[/C][C]2.11871[/C][/ROW]
[ROW][C]272[/C][C]12.2[/C][C]12.2812[/C][C]-0.081217[/C][/ROW]
[ROW][C]273[/C][C]15.1[/C][C]13.2313[/C][C]1.86871[/C][/ROW]
[ROW][C]274[/C][C]17.75[/C][C]13.2313[/C][C]4.51871[/C][/ROW]
[ROW][C]275[/C][C]15.2[/C][C]12.2812[/C][C]2.91878[/C][/ROW]
[ROW][C]276[/C][C]14.6[/C][C]13.7867[/C][C]0.813338[/C][/ROW]
[ROW][C]277[/C][C]16.65[/C][C]13.2313[/C][C]3.41871[/C][/ROW]
[ROW][C]278[/C][C]8.1[/C][C]12.2812[/C][C]-4.18122[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265443&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265443&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
112.913.7867-0.886662
212.212.8366-0.636593
312.813.7867-0.986662
47.412.8366-5.43659
56.712.8366-6.13659
612.612.8366-0.236593
714.813.78671.01334
813.312.83660.463407
911.112.8366-1.73659
108.212.8366-4.63659
1111.412.8366-1.43659
126.412.8366-6.43659
1310.612.8366-2.23659
141213.7867-1.78666
156.313.7867-7.48666
1611.313.2313-1.93129
1711.912.8366-0.936593
189.313.7867-4.48666
199.612.2812-2.68122
201013.7867-3.78666
216.412.8366-6.43659
2213.812.83660.963407
2310.813.7867-2.98666
2413.812.83660.963407
2511.712.8366-1.13659
2610.912.8366-1.93659
2716.112.28123.81878
2813.413.23130.168714
299.912.8366-2.93659
3011.513.7867-2.28666
318.313.7867-5.48666
3211.713.7867-2.08666
33912.8366-3.83659
349.712.8366-3.13659
3510.812.8366-2.03659
3610.312.8366-2.53659
3710.413.7867-3.38666
3812.712.28120.418783
399.312.8366-3.53659
4011.813.7867-1.98666
415.912.8366-6.93659
4211.412.8366-1.43659
431312.83660.163407
4410.812.8366-2.03659
4512.312.28120.018783
4611.313.7867-2.48666
4711.812.8366-1.03659
487.912.2812-4.38122
4912.713.7867-1.08666
5012.312.28120.018783
5111.612.2812-0.681217
526.712.2812-5.58122
5310.912.8366-1.93659
5412.112.2812-0.181217
5513.312.83660.463407
5610.112.8366-2.73659
575.713.2313-7.53129
5814.312.83661.46341
59813.2313-5.23129
6013.312.28121.01878
619.312.8366-3.53659
6212.513.7867-1.28666
637.613.7867-6.18666
6415.912.83663.06341
659.213.7867-4.58666
669.112.2812-3.18122
6711.113.7867-2.68666
681312.83660.163407
6914.512.83661.66341
7012.213.2313-1.03129
7112.313.7867-1.48666
7211.413.7867-2.38666
738.813.2313-4.43129
7414.612.28122.31878
7512.613.7867-1.18666
761313.7867-0.786662
7712.612.28120.318783
7813.213.7867-0.586662
799.913.2313-3.33129
807.712.8366-5.13659
8110.513.2313-2.73129
8213.413.23130.168714
8310.913.2313-2.33129
844.312.2812-7.98122
8510.313.2313-2.93129
8611.812.2812-0.481217
8711.212.2812-1.08122
8811.413.2313-1.83129
898.613.2313-4.63129
9013.213.2313-0.031286
9112.612.28120.318783
925.612.2812-6.68122
939.912.2812-2.38122
948.813.2313-4.43129
957.712.2812-4.58122
96913.2313-4.23129
977.312.2812-4.98122
9811.412.2812-0.881217
9913.612.28121.31878
1007.912.2812-4.38122
10110.712.2812-1.58122
10210.313.2313-2.93129
1038.312.2812-3.98122
1049.612.2812-2.68122
10514.212.28121.91878
1068.513.2313-4.73129
10713.513.23130.268714
1084.913.2313-8.33129
1096.413.2313-6.83129
1109.613.2313-3.63129
11111.613.2313-1.63129
11211.112.2812-1.18122
1134.3512.8366-8.48659
11412.712.8366-0.136593
11518.112.83665.26341
11617.8512.83665.01341
11716.613.23133.36871
11812.612.28120.318783
11917.112.83664.26341
12019.113.78675.31334
12116.112.83663.26341
12213.3513.7867-0.436662
12318.413.78674.61334
12414.712.83661.86341
12510.612.8366-2.23659
12612.612.8366-0.236593
12716.212.83663.36341
12813.612.83660.763407
12918.912.28126.61878
13014.112.83661.26341
13114.512.83661.66341
13216.1513.78672.36334
13314.7512.83661.91341
13414.812.83661.96341
13512.4512.8366-0.386593
13612.6512.8366-0.186593
13717.3512.83664.51341
1388.612.8366-4.23659
13918.413.78674.61334
14016.112.83663.26341
14111.612.2812-0.681217
14217.7512.83664.91341
14315.2512.83662.41341
14417.6512.83664.81341
14516.3513.78672.56334
14617.6513.78673.86334
14713.612.83660.763407
14814.3513.78670.563338
14914.7513.78670.963338
15018.2512.83665.41341
1519.913.7867-3.88666
1521612.83663.16341
15318.2512.83665.41341
15416.8513.78673.06334
15514.612.28122.31878
15613.8512.28121.56878
15718.9512.83666.11341
15815.613.78671.81334
15914.8513.23131.61871
16011.7513.2313-1.48129
16118.4513.23135.21871
16215.912.28123.61878
16317.113.78673.31334
16416.112.83663.26341
16519.913.23136.66871
16610.9512.2812-1.33122
16718.4513.23135.21871
16815.112.28122.81878
1691513.23131.76871
17011.3513.2313-1.88129
17115.9512.28123.66878
17218.113.23134.86871
17314.612.28122.31878
17415.412.83662.56341
17515.412.83662.56341
17617.612.28125.31878
17713.3512.83660.513407
17819.113.78675.31334
17915.3512.28123.06878
1807.613.7867-6.18666
18113.413.23130.168714
18213.913.23130.668714
18319.112.83666.26341
18415.2513.23132.01871
18512.912.28120.618783
18616.113.23132.86871
18717.3513.23134.11871
18813.1513.2313-0.081286
18912.1513.2313-1.08129
19012.612.28120.318783
19110.3512.2812-1.93122
19215.412.28123.11878
1939.612.2812-2.68122
19418.213.23134.96871
19513.613.23130.368714
19614.8512.28122.56878
19714.7513.78670.963338
19814.113.23130.868714
19914.913.23131.66871
20016.2513.23133.01871
20119.2512.83666.41341
20213.612.28121.31878
20313.613.7867-0.186662
20415.6513.23132.41871
20512.7512.8366-0.086593
20614.613.23131.36871
2079.8512.8366-2.98659
20812.6512.28120.368783
20919.213.23135.96871
21016.612.28124.31878
21111.212.2812-1.08122
21215.2512.83662.41341
21311.913.7867-1.88666
21413.213.2313-0.031286
21516.3513.78672.56334
21612.412.8366-0.436593
21715.8512.28123.56878
21818.1512.83665.31341
21911.1512.2812-1.13122
22015.6513.23132.41871
22117.7513.78673.96334
2227.6513.2313-5.58129
22312.3512.8366-0.486593
22415.612.83662.76341
22519.313.78675.51334
22615.213.23131.96871
22717.113.78673.31334
22815.612.28123.31878
22918.412.83665.56341
23019.0513.78675.26334
23118.5513.78674.76334
23219.113.78675.31334
23313.112.28120.818783
23412.8512.83660.013407
2359.512.8366-3.33659
2364.512.8366-8.33659
23711.8513.2313-1.38129
23813.612.83660.763407
23911.712.8366-1.13659
24012.412.28120.118783
24113.3513.7867-0.436662
24211.413.2313-1.83129
24314.912.28122.61878
24419.913.23136.66871
24511.212.2812-1.08122
24614.612.28122.31878
24717.613.78673.81334
24814.0512.83661.21341
24916.113.78672.31334
25013.3512.83660.513407
25111.8512.8366-0.986593
25211.9513.7867-1.83666
25314.7512.28122.46878
25415.1513.23131.91871
25513.212.83660.363407
25616.8513.23133.61871
2577.8512.2812-4.43122
2587.713.7867-6.08666
25912.613.2313-0.631286
2607.8512.2812-4.43122
26110.9512.2812-1.33122
26212.3513.2313-0.881286
2639.9512.2812-2.33122
26414.912.28122.61878
26516.6513.23133.41871
26613.412.28121.11878
26713.9513.23130.718714
26815.713.23132.46871
26916.8512.28124.56878
27010.9512.2812-1.33122
27115.3513.23132.11871
27212.212.2812-0.081217
27315.113.23131.86871
27417.7513.23134.51871
27515.212.28122.91878
27614.613.78670.813338
27716.6513.23133.41871
2788.112.2812-4.18122






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
60.5338860.9322280.466114
70.4028140.8056270.597186
80.3999870.7999750.600013
90.280690.561380.71931
100.2340170.4680350.765983
110.1634470.3268950.836553
120.2118920.4237850.788108
130.1480.2959990.852
140.1066930.2133860.893307
150.3058530.6117050.694147
160.234370.468740.76563
170.1937570.3875140.806243
180.1726130.3452260.827387
190.1278780.2557560.872122
200.09981810.1996360.900182
210.1224010.2448010.877599
220.1442490.2884980.855751
230.1099120.2198230.890088
240.1213550.242710.878645
250.09551520.191030.904485
260.07118630.1423730.928814
270.1129880.2259750.887012
280.08640470.1728090.913595
290.0666130.1332260.933387
300.04994470.09988950.950055
310.05018910.1003780.949811
320.03807110.07614230.961929
330.03124250.0624850.968757
340.02359380.04718770.976406
350.01702040.03404080.98298
360.0121890.0243780.987811
370.008898110.01779620.991102
380.006032890.01206580.993967
390.004579740.009159480.99542
400.00327230.006544610.996728
410.007094190.01418840.992906
420.005279920.01055980.99472
430.005053790.01010760.994946
440.003591290.007182580.996409
450.002409430.004818850.997591
460.001698850.00339770.998301
470.001263220.002526450.998737
480.002194760.004389520.997805
490.001715920.003431840.998284
500.001159380.002318750.998841
510.0007655540.001531110.999234
520.001856680.003713360.998143
530.001333310.002666620.998667
540.0009229110.001845820.999077
550.0009217390.001843480.999078
560.0006724010.00134480.999328
570.002949740.005899490.99705
580.003506760.007013530.996493
590.004018230.008036460.995982
600.003606380.007212750.996394
610.003139790.006279580.99686
620.002573590.005147190.997426
630.003644430.007288870.996356
640.006586280.01317260.993414
650.006314970.01262990.993685
660.005522040.01104410.994478
670.004494180.008988370.995506
680.00384740.007694790.996153
690.004276060.008552120.995724
700.003421210.006842420.996579
710.002847090.005694190.997153
720.002305040.004610090.997695
730.00219720.00439440.997803
740.002585020.005170030.997415
750.002220290.004440580.99778
760.001965910.003931810.998034
770.00153470.003069390.998465
780.001376910.002753810.998623
790.001138720.002277450.998861
800.001676490.003352980.998324
810.001317350.002634690.998683
820.001159730.002319460.99884
830.0008869440.001773890.999113
840.004443150.008886310.995557
850.003683510.007367020.996316
860.002842830.005685660.997157
870.00214250.004284990.997858
880.001668520.003337050.998331
890.001816110.003632230.998184
900.001597050.003194110.998403
910.001285610.002571210.998714
920.003255660.006511320.996744
930.002647490.005294980.997353
940.002805240.005610480.997195
950.003321520.006643030.996678
960.003405870.006811740.996594
970.004433810.008867610.995566
980.003533310.007066620.996467
990.003513470.007026950.996487
1000.004023970.008047940.995976
1010.003218130.006436270.996782
1020.002835790.005671580.997164
1030.003025660.006051320.996974
1040.002635060.005270110.997365
1050.00298090.005961810.997019
1060.003576860.007153720.996423
1070.003453270.006906530.996547
1080.01387210.02774420.986128
1090.02829830.05659670.971702
1100.02957440.05914880.970426
1110.02748810.05497630.972512
1120.02369160.04738320.976308
1130.0941220.1882440.905878
1140.08606180.1721240.913938
1150.1568230.3136450.843177
1160.2371790.4743570.762821
1170.3010890.6021790.698911
1180.282140.5642810.71786
1190.344050.68810.65595
1200.4806280.9612570.519372
1210.5054930.9890140.494507
1220.4901670.9803340.509833
1230.5778160.8443690.422184
1240.5666290.8667420.433371
1250.5588830.8822350.441117
1260.5324690.9350620.467531
1270.5516110.8967780.448389
1280.5264670.9470650.473533
1290.6867460.6265080.313254
1300.6661580.6676840.333842
1310.6484950.7030110.351505
1320.6542670.6914660.345733
1330.6382680.7234640.361732
1340.6220490.7559020.377951
1350.5955690.8088630.404431
1360.5680440.8639130.431956
1370.6070370.7859270.392963
1380.6564710.6870590.343529
1390.7095370.5809260.290463
1400.7113540.5772910.288646
1410.6887370.6225250.311263
1420.7291480.5417030.270852
1430.7160090.5679820.283991
1440.7500430.4999150.249957
1450.7482720.5034560.251728
1460.7673210.4653590.232679
1470.7426650.514670.257335
1480.7224650.5550710.277535
1490.7023370.5953260.297663
1500.7501160.4997690.249884
1510.7848440.4303110.215156
1520.7799390.4401210.220061
1530.819470.361060.18053
1540.8185120.3629770.181488
1550.8126360.3747290.187364
1560.79850.4030.2015
1570.8516050.2967910.148395
1580.8391850.3216310.160815
1590.8325680.3348640.167432
1600.8270920.3458150.172908
1610.8683330.2633330.131667
1620.8753810.2492380.124619
1630.8738310.2523370.126169
1640.8707390.2585210.129261
1650.9233820.1532360.0766178
1660.9144930.1710150.0855074
1670.9345390.1309220.0654609
1680.9316710.1366580.0683291
1690.9244240.1511530.0755763
1700.9223890.1552210.0776107
1710.9253890.1492220.074611
1720.9378010.1243980.0621992
1730.9317130.1365740.0682871
1740.925040.1499210.0749603
1750.9179760.1640480.082024
1760.9377950.1244090.0622047
1770.926030.1479410.0739703
1780.9393260.1213480.060674
1790.9373480.1253030.0626517
1800.9726750.05465020.0273251
1810.9678680.06426320.0321316
1820.962070.07585940.0379297
1830.9777870.04442690.0222134
1840.9741290.05174110.0258706
1850.9682030.0635950.0317975
1860.9650450.06990990.0349549
1870.9662790.06744120.0337206
1880.9606310.07873840.0393692
1890.9571940.08561110.0428055
1900.9479710.1040590.0520293
1910.942640.114720.0573601
1920.9407680.1184640.0592319
1930.9394620.1210770.0605385
1940.946760.106480.0532402
1950.9375820.1248370.0624184
1960.9317630.1364730.0682367
1970.9196910.1606190.0803093
1980.9062750.1874510.0937254
1990.8915910.2168180.108409
2000.8814490.2371030.118551
2010.9265850.146830.0734149
2020.9137040.1725920.0862961
2030.9018190.1963620.0981808
2040.8881720.2236550.111828
2050.8681180.2637640.131882
2060.8478970.3042070.152103
2070.8482730.3034530.151727
2080.8233390.3533210.176661
2090.8557890.2884220.144211
2100.8710360.2579280.128964
2110.8513490.2973030.148651
2120.8372510.3254980.162749
2130.8399260.3201480.160074
2140.8193060.3613880.180694
2150.7965980.4068040.203402
2160.7671910.4656180.232809
2170.7729760.4540480.227024
2180.8189160.3621680.181084
2190.7924720.4150560.207528
2200.7663170.4673670.233683
2210.7561530.4876940.243847
2220.8678910.2642170.132109
2230.8429250.314150.157075
2240.8376530.3246930.162347
2250.8578240.2843520.142176
2260.8330360.3339290.166964
2270.8172890.3654210.182711
2280.8184010.3631980.181599
2290.8904280.2191440.109572
2300.9096030.1807950.0903973
2310.9231820.1536360.0768181
2320.9475950.104810.0524049
2330.9337220.1325560.066278
2340.9200920.1598160.0799079
2350.9090580.1818850.0909424
2360.9742530.05149380.0257469
2370.973420.05316030.0265802
2380.9667560.06648840.0332442
2390.9557130.08857310.0442865
2400.9415120.1169760.0584879
2410.925810.148380.0741898
2420.9324710.1350590.0675294
2430.9252840.1494320.0747162
2440.9542860.0914290.0457145
2450.9411480.1177040.058852
2460.9326250.134750.067375
2470.9366780.1266430.0633215
2480.9304870.1390250.0695126
2490.923940.1521210.0760603
2500.9181190.1637620.0818809
2510.900530.198940.0994701
2520.8712390.2575210.128761
2530.8619790.2760420.138021
2540.8224770.3550460.177523
2550.859290.281420.14071
2560.8314370.3371270.168563
2570.8612230.2775540.138777
2580.9201560.1596880.079844
2590.913840.1723210.0861604
2600.949210.1015810.0507904
2610.9321990.1356030.0678014
2620.9410290.1179420.0589711
2630.9435230.1129550.0564774
2640.9283530.1432950.0716473
2650.892190.215620.10781
2660.8384470.3231070.161553
2670.7970730.4058550.202927
2680.7083790.5832420.291621
2690.8485660.3028680.151434
2700.7574180.4851630.242582
2710.6374990.7250010.362501
2720.4704270.9408540.529573

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
6 & 0.533886 & 0.932228 & 0.466114 \tabularnewline
7 & 0.402814 & 0.805627 & 0.597186 \tabularnewline
8 & 0.399987 & 0.799975 & 0.600013 \tabularnewline
9 & 0.28069 & 0.56138 & 0.71931 \tabularnewline
10 & 0.234017 & 0.468035 & 0.765983 \tabularnewline
11 & 0.163447 & 0.326895 & 0.836553 \tabularnewline
12 & 0.211892 & 0.423785 & 0.788108 \tabularnewline
13 & 0.148 & 0.295999 & 0.852 \tabularnewline
14 & 0.106693 & 0.213386 & 0.893307 \tabularnewline
15 & 0.305853 & 0.611705 & 0.694147 \tabularnewline
16 & 0.23437 & 0.46874 & 0.76563 \tabularnewline
17 & 0.193757 & 0.387514 & 0.806243 \tabularnewline
18 & 0.172613 & 0.345226 & 0.827387 \tabularnewline
19 & 0.127878 & 0.255756 & 0.872122 \tabularnewline
20 & 0.0998181 & 0.199636 & 0.900182 \tabularnewline
21 & 0.122401 & 0.244801 & 0.877599 \tabularnewline
22 & 0.144249 & 0.288498 & 0.855751 \tabularnewline
23 & 0.109912 & 0.219823 & 0.890088 \tabularnewline
24 & 0.121355 & 0.24271 & 0.878645 \tabularnewline
25 & 0.0955152 & 0.19103 & 0.904485 \tabularnewline
26 & 0.0711863 & 0.142373 & 0.928814 \tabularnewline
27 & 0.112988 & 0.225975 & 0.887012 \tabularnewline
28 & 0.0864047 & 0.172809 & 0.913595 \tabularnewline
29 & 0.066613 & 0.133226 & 0.933387 \tabularnewline
30 & 0.0499447 & 0.0998895 & 0.950055 \tabularnewline
31 & 0.0501891 & 0.100378 & 0.949811 \tabularnewline
32 & 0.0380711 & 0.0761423 & 0.961929 \tabularnewline
33 & 0.0312425 & 0.062485 & 0.968757 \tabularnewline
34 & 0.0235938 & 0.0471877 & 0.976406 \tabularnewline
35 & 0.0170204 & 0.0340408 & 0.98298 \tabularnewline
36 & 0.012189 & 0.024378 & 0.987811 \tabularnewline
37 & 0.00889811 & 0.0177962 & 0.991102 \tabularnewline
38 & 0.00603289 & 0.0120658 & 0.993967 \tabularnewline
39 & 0.00457974 & 0.00915948 & 0.99542 \tabularnewline
40 & 0.0032723 & 0.00654461 & 0.996728 \tabularnewline
41 & 0.00709419 & 0.0141884 & 0.992906 \tabularnewline
42 & 0.00527992 & 0.0105598 & 0.99472 \tabularnewline
43 & 0.00505379 & 0.0101076 & 0.994946 \tabularnewline
44 & 0.00359129 & 0.00718258 & 0.996409 \tabularnewline
45 & 0.00240943 & 0.00481885 & 0.997591 \tabularnewline
46 & 0.00169885 & 0.0033977 & 0.998301 \tabularnewline
47 & 0.00126322 & 0.00252645 & 0.998737 \tabularnewline
48 & 0.00219476 & 0.00438952 & 0.997805 \tabularnewline
49 & 0.00171592 & 0.00343184 & 0.998284 \tabularnewline
50 & 0.00115938 & 0.00231875 & 0.998841 \tabularnewline
51 & 0.000765554 & 0.00153111 & 0.999234 \tabularnewline
52 & 0.00185668 & 0.00371336 & 0.998143 \tabularnewline
53 & 0.00133331 & 0.00266662 & 0.998667 \tabularnewline
54 & 0.000922911 & 0.00184582 & 0.999077 \tabularnewline
55 & 0.000921739 & 0.00184348 & 0.999078 \tabularnewline
56 & 0.000672401 & 0.0013448 & 0.999328 \tabularnewline
57 & 0.00294974 & 0.00589949 & 0.99705 \tabularnewline
58 & 0.00350676 & 0.00701353 & 0.996493 \tabularnewline
59 & 0.00401823 & 0.00803646 & 0.995982 \tabularnewline
60 & 0.00360638 & 0.00721275 & 0.996394 \tabularnewline
61 & 0.00313979 & 0.00627958 & 0.99686 \tabularnewline
62 & 0.00257359 & 0.00514719 & 0.997426 \tabularnewline
63 & 0.00364443 & 0.00728887 & 0.996356 \tabularnewline
64 & 0.00658628 & 0.0131726 & 0.993414 \tabularnewline
65 & 0.00631497 & 0.0126299 & 0.993685 \tabularnewline
66 & 0.00552204 & 0.0110441 & 0.994478 \tabularnewline
67 & 0.00449418 & 0.00898837 & 0.995506 \tabularnewline
68 & 0.0038474 & 0.00769479 & 0.996153 \tabularnewline
69 & 0.00427606 & 0.00855212 & 0.995724 \tabularnewline
70 & 0.00342121 & 0.00684242 & 0.996579 \tabularnewline
71 & 0.00284709 & 0.00569419 & 0.997153 \tabularnewline
72 & 0.00230504 & 0.00461009 & 0.997695 \tabularnewline
73 & 0.0021972 & 0.0043944 & 0.997803 \tabularnewline
74 & 0.00258502 & 0.00517003 & 0.997415 \tabularnewline
75 & 0.00222029 & 0.00444058 & 0.99778 \tabularnewline
76 & 0.00196591 & 0.00393181 & 0.998034 \tabularnewline
77 & 0.0015347 & 0.00306939 & 0.998465 \tabularnewline
78 & 0.00137691 & 0.00275381 & 0.998623 \tabularnewline
79 & 0.00113872 & 0.00227745 & 0.998861 \tabularnewline
80 & 0.00167649 & 0.00335298 & 0.998324 \tabularnewline
81 & 0.00131735 & 0.00263469 & 0.998683 \tabularnewline
82 & 0.00115973 & 0.00231946 & 0.99884 \tabularnewline
83 & 0.000886944 & 0.00177389 & 0.999113 \tabularnewline
84 & 0.00444315 & 0.00888631 & 0.995557 \tabularnewline
85 & 0.00368351 & 0.00736702 & 0.996316 \tabularnewline
86 & 0.00284283 & 0.00568566 & 0.997157 \tabularnewline
87 & 0.0021425 & 0.00428499 & 0.997858 \tabularnewline
88 & 0.00166852 & 0.00333705 & 0.998331 \tabularnewline
89 & 0.00181611 & 0.00363223 & 0.998184 \tabularnewline
90 & 0.00159705 & 0.00319411 & 0.998403 \tabularnewline
91 & 0.00128561 & 0.00257121 & 0.998714 \tabularnewline
92 & 0.00325566 & 0.00651132 & 0.996744 \tabularnewline
93 & 0.00264749 & 0.00529498 & 0.997353 \tabularnewline
94 & 0.00280524 & 0.00561048 & 0.997195 \tabularnewline
95 & 0.00332152 & 0.00664303 & 0.996678 \tabularnewline
96 & 0.00340587 & 0.00681174 & 0.996594 \tabularnewline
97 & 0.00443381 & 0.00886761 & 0.995566 \tabularnewline
98 & 0.00353331 & 0.00706662 & 0.996467 \tabularnewline
99 & 0.00351347 & 0.00702695 & 0.996487 \tabularnewline
100 & 0.00402397 & 0.00804794 & 0.995976 \tabularnewline
101 & 0.00321813 & 0.00643627 & 0.996782 \tabularnewline
102 & 0.00283579 & 0.00567158 & 0.997164 \tabularnewline
103 & 0.00302566 & 0.00605132 & 0.996974 \tabularnewline
104 & 0.00263506 & 0.00527011 & 0.997365 \tabularnewline
105 & 0.0029809 & 0.00596181 & 0.997019 \tabularnewline
106 & 0.00357686 & 0.00715372 & 0.996423 \tabularnewline
107 & 0.00345327 & 0.00690653 & 0.996547 \tabularnewline
108 & 0.0138721 & 0.0277442 & 0.986128 \tabularnewline
109 & 0.0282983 & 0.0565967 & 0.971702 \tabularnewline
110 & 0.0295744 & 0.0591488 & 0.970426 \tabularnewline
111 & 0.0274881 & 0.0549763 & 0.972512 \tabularnewline
112 & 0.0236916 & 0.0473832 & 0.976308 \tabularnewline
113 & 0.094122 & 0.188244 & 0.905878 \tabularnewline
114 & 0.0860618 & 0.172124 & 0.913938 \tabularnewline
115 & 0.156823 & 0.313645 & 0.843177 \tabularnewline
116 & 0.237179 & 0.474357 & 0.762821 \tabularnewline
117 & 0.301089 & 0.602179 & 0.698911 \tabularnewline
118 & 0.28214 & 0.564281 & 0.71786 \tabularnewline
119 & 0.34405 & 0.6881 & 0.65595 \tabularnewline
120 & 0.480628 & 0.961257 & 0.519372 \tabularnewline
121 & 0.505493 & 0.989014 & 0.494507 \tabularnewline
122 & 0.490167 & 0.980334 & 0.509833 \tabularnewline
123 & 0.577816 & 0.844369 & 0.422184 \tabularnewline
124 & 0.566629 & 0.866742 & 0.433371 \tabularnewline
125 & 0.558883 & 0.882235 & 0.441117 \tabularnewline
126 & 0.532469 & 0.935062 & 0.467531 \tabularnewline
127 & 0.551611 & 0.896778 & 0.448389 \tabularnewline
128 & 0.526467 & 0.947065 & 0.473533 \tabularnewline
129 & 0.686746 & 0.626508 & 0.313254 \tabularnewline
130 & 0.666158 & 0.667684 & 0.333842 \tabularnewline
131 & 0.648495 & 0.703011 & 0.351505 \tabularnewline
132 & 0.654267 & 0.691466 & 0.345733 \tabularnewline
133 & 0.638268 & 0.723464 & 0.361732 \tabularnewline
134 & 0.622049 & 0.755902 & 0.377951 \tabularnewline
135 & 0.595569 & 0.808863 & 0.404431 \tabularnewline
136 & 0.568044 & 0.863913 & 0.431956 \tabularnewline
137 & 0.607037 & 0.785927 & 0.392963 \tabularnewline
138 & 0.656471 & 0.687059 & 0.343529 \tabularnewline
139 & 0.709537 & 0.580926 & 0.290463 \tabularnewline
140 & 0.711354 & 0.577291 & 0.288646 \tabularnewline
141 & 0.688737 & 0.622525 & 0.311263 \tabularnewline
142 & 0.729148 & 0.541703 & 0.270852 \tabularnewline
143 & 0.716009 & 0.567982 & 0.283991 \tabularnewline
144 & 0.750043 & 0.499915 & 0.249957 \tabularnewline
145 & 0.748272 & 0.503456 & 0.251728 \tabularnewline
146 & 0.767321 & 0.465359 & 0.232679 \tabularnewline
147 & 0.742665 & 0.51467 & 0.257335 \tabularnewline
148 & 0.722465 & 0.555071 & 0.277535 \tabularnewline
149 & 0.702337 & 0.595326 & 0.297663 \tabularnewline
150 & 0.750116 & 0.499769 & 0.249884 \tabularnewline
151 & 0.784844 & 0.430311 & 0.215156 \tabularnewline
152 & 0.779939 & 0.440121 & 0.220061 \tabularnewline
153 & 0.81947 & 0.36106 & 0.18053 \tabularnewline
154 & 0.818512 & 0.362977 & 0.181488 \tabularnewline
155 & 0.812636 & 0.374729 & 0.187364 \tabularnewline
156 & 0.7985 & 0.403 & 0.2015 \tabularnewline
157 & 0.851605 & 0.296791 & 0.148395 \tabularnewline
158 & 0.839185 & 0.321631 & 0.160815 \tabularnewline
159 & 0.832568 & 0.334864 & 0.167432 \tabularnewline
160 & 0.827092 & 0.345815 & 0.172908 \tabularnewline
161 & 0.868333 & 0.263333 & 0.131667 \tabularnewline
162 & 0.875381 & 0.249238 & 0.124619 \tabularnewline
163 & 0.873831 & 0.252337 & 0.126169 \tabularnewline
164 & 0.870739 & 0.258521 & 0.129261 \tabularnewline
165 & 0.923382 & 0.153236 & 0.0766178 \tabularnewline
166 & 0.914493 & 0.171015 & 0.0855074 \tabularnewline
167 & 0.934539 & 0.130922 & 0.0654609 \tabularnewline
168 & 0.931671 & 0.136658 & 0.0683291 \tabularnewline
169 & 0.924424 & 0.151153 & 0.0755763 \tabularnewline
170 & 0.922389 & 0.155221 & 0.0776107 \tabularnewline
171 & 0.925389 & 0.149222 & 0.074611 \tabularnewline
172 & 0.937801 & 0.124398 & 0.0621992 \tabularnewline
173 & 0.931713 & 0.136574 & 0.0682871 \tabularnewline
174 & 0.92504 & 0.149921 & 0.0749603 \tabularnewline
175 & 0.917976 & 0.164048 & 0.082024 \tabularnewline
176 & 0.937795 & 0.124409 & 0.0622047 \tabularnewline
177 & 0.92603 & 0.147941 & 0.0739703 \tabularnewline
178 & 0.939326 & 0.121348 & 0.060674 \tabularnewline
179 & 0.937348 & 0.125303 & 0.0626517 \tabularnewline
180 & 0.972675 & 0.0546502 & 0.0273251 \tabularnewline
181 & 0.967868 & 0.0642632 & 0.0321316 \tabularnewline
182 & 0.96207 & 0.0758594 & 0.0379297 \tabularnewline
183 & 0.977787 & 0.0444269 & 0.0222134 \tabularnewline
184 & 0.974129 & 0.0517411 & 0.0258706 \tabularnewline
185 & 0.968203 & 0.063595 & 0.0317975 \tabularnewline
186 & 0.965045 & 0.0699099 & 0.0349549 \tabularnewline
187 & 0.966279 & 0.0674412 & 0.0337206 \tabularnewline
188 & 0.960631 & 0.0787384 & 0.0393692 \tabularnewline
189 & 0.957194 & 0.0856111 & 0.0428055 \tabularnewline
190 & 0.947971 & 0.104059 & 0.0520293 \tabularnewline
191 & 0.94264 & 0.11472 & 0.0573601 \tabularnewline
192 & 0.940768 & 0.118464 & 0.0592319 \tabularnewline
193 & 0.939462 & 0.121077 & 0.0605385 \tabularnewline
194 & 0.94676 & 0.10648 & 0.0532402 \tabularnewline
195 & 0.937582 & 0.124837 & 0.0624184 \tabularnewline
196 & 0.931763 & 0.136473 & 0.0682367 \tabularnewline
197 & 0.919691 & 0.160619 & 0.0803093 \tabularnewline
198 & 0.906275 & 0.187451 & 0.0937254 \tabularnewline
199 & 0.891591 & 0.216818 & 0.108409 \tabularnewline
200 & 0.881449 & 0.237103 & 0.118551 \tabularnewline
201 & 0.926585 & 0.14683 & 0.0734149 \tabularnewline
202 & 0.913704 & 0.172592 & 0.0862961 \tabularnewline
203 & 0.901819 & 0.196362 & 0.0981808 \tabularnewline
204 & 0.888172 & 0.223655 & 0.111828 \tabularnewline
205 & 0.868118 & 0.263764 & 0.131882 \tabularnewline
206 & 0.847897 & 0.304207 & 0.152103 \tabularnewline
207 & 0.848273 & 0.303453 & 0.151727 \tabularnewline
208 & 0.823339 & 0.353321 & 0.176661 \tabularnewline
209 & 0.855789 & 0.288422 & 0.144211 \tabularnewline
210 & 0.871036 & 0.257928 & 0.128964 \tabularnewline
211 & 0.851349 & 0.297303 & 0.148651 \tabularnewline
212 & 0.837251 & 0.325498 & 0.162749 \tabularnewline
213 & 0.839926 & 0.320148 & 0.160074 \tabularnewline
214 & 0.819306 & 0.361388 & 0.180694 \tabularnewline
215 & 0.796598 & 0.406804 & 0.203402 \tabularnewline
216 & 0.767191 & 0.465618 & 0.232809 \tabularnewline
217 & 0.772976 & 0.454048 & 0.227024 \tabularnewline
218 & 0.818916 & 0.362168 & 0.181084 \tabularnewline
219 & 0.792472 & 0.415056 & 0.207528 \tabularnewline
220 & 0.766317 & 0.467367 & 0.233683 \tabularnewline
221 & 0.756153 & 0.487694 & 0.243847 \tabularnewline
222 & 0.867891 & 0.264217 & 0.132109 \tabularnewline
223 & 0.842925 & 0.31415 & 0.157075 \tabularnewline
224 & 0.837653 & 0.324693 & 0.162347 \tabularnewline
225 & 0.857824 & 0.284352 & 0.142176 \tabularnewline
226 & 0.833036 & 0.333929 & 0.166964 \tabularnewline
227 & 0.817289 & 0.365421 & 0.182711 \tabularnewline
228 & 0.818401 & 0.363198 & 0.181599 \tabularnewline
229 & 0.890428 & 0.219144 & 0.109572 \tabularnewline
230 & 0.909603 & 0.180795 & 0.0903973 \tabularnewline
231 & 0.923182 & 0.153636 & 0.0768181 \tabularnewline
232 & 0.947595 & 0.10481 & 0.0524049 \tabularnewline
233 & 0.933722 & 0.132556 & 0.066278 \tabularnewline
234 & 0.920092 & 0.159816 & 0.0799079 \tabularnewline
235 & 0.909058 & 0.181885 & 0.0909424 \tabularnewline
236 & 0.974253 & 0.0514938 & 0.0257469 \tabularnewline
237 & 0.97342 & 0.0531603 & 0.0265802 \tabularnewline
238 & 0.966756 & 0.0664884 & 0.0332442 \tabularnewline
239 & 0.955713 & 0.0885731 & 0.0442865 \tabularnewline
240 & 0.941512 & 0.116976 & 0.0584879 \tabularnewline
241 & 0.92581 & 0.14838 & 0.0741898 \tabularnewline
242 & 0.932471 & 0.135059 & 0.0675294 \tabularnewline
243 & 0.925284 & 0.149432 & 0.0747162 \tabularnewline
244 & 0.954286 & 0.091429 & 0.0457145 \tabularnewline
245 & 0.941148 & 0.117704 & 0.058852 \tabularnewline
246 & 0.932625 & 0.13475 & 0.067375 \tabularnewline
247 & 0.936678 & 0.126643 & 0.0633215 \tabularnewline
248 & 0.930487 & 0.139025 & 0.0695126 \tabularnewline
249 & 0.92394 & 0.152121 & 0.0760603 \tabularnewline
250 & 0.918119 & 0.163762 & 0.0818809 \tabularnewline
251 & 0.90053 & 0.19894 & 0.0994701 \tabularnewline
252 & 0.871239 & 0.257521 & 0.128761 \tabularnewline
253 & 0.861979 & 0.276042 & 0.138021 \tabularnewline
254 & 0.822477 & 0.355046 & 0.177523 \tabularnewline
255 & 0.85929 & 0.28142 & 0.14071 \tabularnewline
256 & 0.831437 & 0.337127 & 0.168563 \tabularnewline
257 & 0.861223 & 0.277554 & 0.138777 \tabularnewline
258 & 0.920156 & 0.159688 & 0.079844 \tabularnewline
259 & 0.91384 & 0.172321 & 0.0861604 \tabularnewline
260 & 0.94921 & 0.101581 & 0.0507904 \tabularnewline
261 & 0.932199 & 0.135603 & 0.0678014 \tabularnewline
262 & 0.941029 & 0.117942 & 0.0589711 \tabularnewline
263 & 0.943523 & 0.112955 & 0.0564774 \tabularnewline
264 & 0.928353 & 0.143295 & 0.0716473 \tabularnewline
265 & 0.89219 & 0.21562 & 0.10781 \tabularnewline
266 & 0.838447 & 0.323107 & 0.161553 \tabularnewline
267 & 0.797073 & 0.405855 & 0.202927 \tabularnewline
268 & 0.708379 & 0.583242 & 0.291621 \tabularnewline
269 & 0.848566 & 0.302868 & 0.151434 \tabularnewline
270 & 0.757418 & 0.485163 & 0.242582 \tabularnewline
271 & 0.637499 & 0.725001 & 0.362501 \tabularnewline
272 & 0.470427 & 0.940854 & 0.529573 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265443&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]6[/C][C]0.533886[/C][C]0.932228[/C][C]0.466114[/C][/ROW]
[ROW][C]7[/C][C]0.402814[/C][C]0.805627[/C][C]0.597186[/C][/ROW]
[ROW][C]8[/C][C]0.399987[/C][C]0.799975[/C][C]0.600013[/C][/ROW]
[ROW][C]9[/C][C]0.28069[/C][C]0.56138[/C][C]0.71931[/C][/ROW]
[ROW][C]10[/C][C]0.234017[/C][C]0.468035[/C][C]0.765983[/C][/ROW]
[ROW][C]11[/C][C]0.163447[/C][C]0.326895[/C][C]0.836553[/C][/ROW]
[ROW][C]12[/C][C]0.211892[/C][C]0.423785[/C][C]0.788108[/C][/ROW]
[ROW][C]13[/C][C]0.148[/C][C]0.295999[/C][C]0.852[/C][/ROW]
[ROW][C]14[/C][C]0.106693[/C][C]0.213386[/C][C]0.893307[/C][/ROW]
[ROW][C]15[/C][C]0.305853[/C][C]0.611705[/C][C]0.694147[/C][/ROW]
[ROW][C]16[/C][C]0.23437[/C][C]0.46874[/C][C]0.76563[/C][/ROW]
[ROW][C]17[/C][C]0.193757[/C][C]0.387514[/C][C]0.806243[/C][/ROW]
[ROW][C]18[/C][C]0.172613[/C][C]0.345226[/C][C]0.827387[/C][/ROW]
[ROW][C]19[/C][C]0.127878[/C][C]0.255756[/C][C]0.872122[/C][/ROW]
[ROW][C]20[/C][C]0.0998181[/C][C]0.199636[/C][C]0.900182[/C][/ROW]
[ROW][C]21[/C][C]0.122401[/C][C]0.244801[/C][C]0.877599[/C][/ROW]
[ROW][C]22[/C][C]0.144249[/C][C]0.288498[/C][C]0.855751[/C][/ROW]
[ROW][C]23[/C][C]0.109912[/C][C]0.219823[/C][C]0.890088[/C][/ROW]
[ROW][C]24[/C][C]0.121355[/C][C]0.24271[/C][C]0.878645[/C][/ROW]
[ROW][C]25[/C][C]0.0955152[/C][C]0.19103[/C][C]0.904485[/C][/ROW]
[ROW][C]26[/C][C]0.0711863[/C][C]0.142373[/C][C]0.928814[/C][/ROW]
[ROW][C]27[/C][C]0.112988[/C][C]0.225975[/C][C]0.887012[/C][/ROW]
[ROW][C]28[/C][C]0.0864047[/C][C]0.172809[/C][C]0.913595[/C][/ROW]
[ROW][C]29[/C][C]0.066613[/C][C]0.133226[/C][C]0.933387[/C][/ROW]
[ROW][C]30[/C][C]0.0499447[/C][C]0.0998895[/C][C]0.950055[/C][/ROW]
[ROW][C]31[/C][C]0.0501891[/C][C]0.100378[/C][C]0.949811[/C][/ROW]
[ROW][C]32[/C][C]0.0380711[/C][C]0.0761423[/C][C]0.961929[/C][/ROW]
[ROW][C]33[/C][C]0.0312425[/C][C]0.062485[/C][C]0.968757[/C][/ROW]
[ROW][C]34[/C][C]0.0235938[/C][C]0.0471877[/C][C]0.976406[/C][/ROW]
[ROW][C]35[/C][C]0.0170204[/C][C]0.0340408[/C][C]0.98298[/C][/ROW]
[ROW][C]36[/C][C]0.012189[/C][C]0.024378[/C][C]0.987811[/C][/ROW]
[ROW][C]37[/C][C]0.00889811[/C][C]0.0177962[/C][C]0.991102[/C][/ROW]
[ROW][C]38[/C][C]0.00603289[/C][C]0.0120658[/C][C]0.993967[/C][/ROW]
[ROW][C]39[/C][C]0.00457974[/C][C]0.00915948[/C][C]0.99542[/C][/ROW]
[ROW][C]40[/C][C]0.0032723[/C][C]0.00654461[/C][C]0.996728[/C][/ROW]
[ROW][C]41[/C][C]0.00709419[/C][C]0.0141884[/C][C]0.992906[/C][/ROW]
[ROW][C]42[/C][C]0.00527992[/C][C]0.0105598[/C][C]0.99472[/C][/ROW]
[ROW][C]43[/C][C]0.00505379[/C][C]0.0101076[/C][C]0.994946[/C][/ROW]
[ROW][C]44[/C][C]0.00359129[/C][C]0.00718258[/C][C]0.996409[/C][/ROW]
[ROW][C]45[/C][C]0.00240943[/C][C]0.00481885[/C][C]0.997591[/C][/ROW]
[ROW][C]46[/C][C]0.00169885[/C][C]0.0033977[/C][C]0.998301[/C][/ROW]
[ROW][C]47[/C][C]0.00126322[/C][C]0.00252645[/C][C]0.998737[/C][/ROW]
[ROW][C]48[/C][C]0.00219476[/C][C]0.00438952[/C][C]0.997805[/C][/ROW]
[ROW][C]49[/C][C]0.00171592[/C][C]0.00343184[/C][C]0.998284[/C][/ROW]
[ROW][C]50[/C][C]0.00115938[/C][C]0.00231875[/C][C]0.998841[/C][/ROW]
[ROW][C]51[/C][C]0.000765554[/C][C]0.00153111[/C][C]0.999234[/C][/ROW]
[ROW][C]52[/C][C]0.00185668[/C][C]0.00371336[/C][C]0.998143[/C][/ROW]
[ROW][C]53[/C][C]0.00133331[/C][C]0.00266662[/C][C]0.998667[/C][/ROW]
[ROW][C]54[/C][C]0.000922911[/C][C]0.00184582[/C][C]0.999077[/C][/ROW]
[ROW][C]55[/C][C]0.000921739[/C][C]0.00184348[/C][C]0.999078[/C][/ROW]
[ROW][C]56[/C][C]0.000672401[/C][C]0.0013448[/C][C]0.999328[/C][/ROW]
[ROW][C]57[/C][C]0.00294974[/C][C]0.00589949[/C][C]0.99705[/C][/ROW]
[ROW][C]58[/C][C]0.00350676[/C][C]0.00701353[/C][C]0.996493[/C][/ROW]
[ROW][C]59[/C][C]0.00401823[/C][C]0.00803646[/C][C]0.995982[/C][/ROW]
[ROW][C]60[/C][C]0.00360638[/C][C]0.00721275[/C][C]0.996394[/C][/ROW]
[ROW][C]61[/C][C]0.00313979[/C][C]0.00627958[/C][C]0.99686[/C][/ROW]
[ROW][C]62[/C][C]0.00257359[/C][C]0.00514719[/C][C]0.997426[/C][/ROW]
[ROW][C]63[/C][C]0.00364443[/C][C]0.00728887[/C][C]0.996356[/C][/ROW]
[ROW][C]64[/C][C]0.00658628[/C][C]0.0131726[/C][C]0.993414[/C][/ROW]
[ROW][C]65[/C][C]0.00631497[/C][C]0.0126299[/C][C]0.993685[/C][/ROW]
[ROW][C]66[/C][C]0.00552204[/C][C]0.0110441[/C][C]0.994478[/C][/ROW]
[ROW][C]67[/C][C]0.00449418[/C][C]0.00898837[/C][C]0.995506[/C][/ROW]
[ROW][C]68[/C][C]0.0038474[/C][C]0.00769479[/C][C]0.996153[/C][/ROW]
[ROW][C]69[/C][C]0.00427606[/C][C]0.00855212[/C][C]0.995724[/C][/ROW]
[ROW][C]70[/C][C]0.00342121[/C][C]0.00684242[/C][C]0.996579[/C][/ROW]
[ROW][C]71[/C][C]0.00284709[/C][C]0.00569419[/C][C]0.997153[/C][/ROW]
[ROW][C]72[/C][C]0.00230504[/C][C]0.00461009[/C][C]0.997695[/C][/ROW]
[ROW][C]73[/C][C]0.0021972[/C][C]0.0043944[/C][C]0.997803[/C][/ROW]
[ROW][C]74[/C][C]0.00258502[/C][C]0.00517003[/C][C]0.997415[/C][/ROW]
[ROW][C]75[/C][C]0.00222029[/C][C]0.00444058[/C][C]0.99778[/C][/ROW]
[ROW][C]76[/C][C]0.00196591[/C][C]0.00393181[/C][C]0.998034[/C][/ROW]
[ROW][C]77[/C][C]0.0015347[/C][C]0.00306939[/C][C]0.998465[/C][/ROW]
[ROW][C]78[/C][C]0.00137691[/C][C]0.00275381[/C][C]0.998623[/C][/ROW]
[ROW][C]79[/C][C]0.00113872[/C][C]0.00227745[/C][C]0.998861[/C][/ROW]
[ROW][C]80[/C][C]0.00167649[/C][C]0.00335298[/C][C]0.998324[/C][/ROW]
[ROW][C]81[/C][C]0.00131735[/C][C]0.00263469[/C][C]0.998683[/C][/ROW]
[ROW][C]82[/C][C]0.00115973[/C][C]0.00231946[/C][C]0.99884[/C][/ROW]
[ROW][C]83[/C][C]0.000886944[/C][C]0.00177389[/C][C]0.999113[/C][/ROW]
[ROW][C]84[/C][C]0.00444315[/C][C]0.00888631[/C][C]0.995557[/C][/ROW]
[ROW][C]85[/C][C]0.00368351[/C][C]0.00736702[/C][C]0.996316[/C][/ROW]
[ROW][C]86[/C][C]0.00284283[/C][C]0.00568566[/C][C]0.997157[/C][/ROW]
[ROW][C]87[/C][C]0.0021425[/C][C]0.00428499[/C][C]0.997858[/C][/ROW]
[ROW][C]88[/C][C]0.00166852[/C][C]0.00333705[/C][C]0.998331[/C][/ROW]
[ROW][C]89[/C][C]0.00181611[/C][C]0.00363223[/C][C]0.998184[/C][/ROW]
[ROW][C]90[/C][C]0.00159705[/C][C]0.00319411[/C][C]0.998403[/C][/ROW]
[ROW][C]91[/C][C]0.00128561[/C][C]0.00257121[/C][C]0.998714[/C][/ROW]
[ROW][C]92[/C][C]0.00325566[/C][C]0.00651132[/C][C]0.996744[/C][/ROW]
[ROW][C]93[/C][C]0.00264749[/C][C]0.00529498[/C][C]0.997353[/C][/ROW]
[ROW][C]94[/C][C]0.00280524[/C][C]0.00561048[/C][C]0.997195[/C][/ROW]
[ROW][C]95[/C][C]0.00332152[/C][C]0.00664303[/C][C]0.996678[/C][/ROW]
[ROW][C]96[/C][C]0.00340587[/C][C]0.00681174[/C][C]0.996594[/C][/ROW]
[ROW][C]97[/C][C]0.00443381[/C][C]0.00886761[/C][C]0.995566[/C][/ROW]
[ROW][C]98[/C][C]0.00353331[/C][C]0.00706662[/C][C]0.996467[/C][/ROW]
[ROW][C]99[/C][C]0.00351347[/C][C]0.00702695[/C][C]0.996487[/C][/ROW]
[ROW][C]100[/C][C]0.00402397[/C][C]0.00804794[/C][C]0.995976[/C][/ROW]
[ROW][C]101[/C][C]0.00321813[/C][C]0.00643627[/C][C]0.996782[/C][/ROW]
[ROW][C]102[/C][C]0.00283579[/C][C]0.00567158[/C][C]0.997164[/C][/ROW]
[ROW][C]103[/C][C]0.00302566[/C][C]0.00605132[/C][C]0.996974[/C][/ROW]
[ROW][C]104[/C][C]0.00263506[/C][C]0.00527011[/C][C]0.997365[/C][/ROW]
[ROW][C]105[/C][C]0.0029809[/C][C]0.00596181[/C][C]0.997019[/C][/ROW]
[ROW][C]106[/C][C]0.00357686[/C][C]0.00715372[/C][C]0.996423[/C][/ROW]
[ROW][C]107[/C][C]0.00345327[/C][C]0.00690653[/C][C]0.996547[/C][/ROW]
[ROW][C]108[/C][C]0.0138721[/C][C]0.0277442[/C][C]0.986128[/C][/ROW]
[ROW][C]109[/C][C]0.0282983[/C][C]0.0565967[/C][C]0.971702[/C][/ROW]
[ROW][C]110[/C][C]0.0295744[/C][C]0.0591488[/C][C]0.970426[/C][/ROW]
[ROW][C]111[/C][C]0.0274881[/C][C]0.0549763[/C][C]0.972512[/C][/ROW]
[ROW][C]112[/C][C]0.0236916[/C][C]0.0473832[/C][C]0.976308[/C][/ROW]
[ROW][C]113[/C][C]0.094122[/C][C]0.188244[/C][C]0.905878[/C][/ROW]
[ROW][C]114[/C][C]0.0860618[/C][C]0.172124[/C][C]0.913938[/C][/ROW]
[ROW][C]115[/C][C]0.156823[/C][C]0.313645[/C][C]0.843177[/C][/ROW]
[ROW][C]116[/C][C]0.237179[/C][C]0.474357[/C][C]0.762821[/C][/ROW]
[ROW][C]117[/C][C]0.301089[/C][C]0.602179[/C][C]0.698911[/C][/ROW]
[ROW][C]118[/C][C]0.28214[/C][C]0.564281[/C][C]0.71786[/C][/ROW]
[ROW][C]119[/C][C]0.34405[/C][C]0.6881[/C][C]0.65595[/C][/ROW]
[ROW][C]120[/C][C]0.480628[/C][C]0.961257[/C][C]0.519372[/C][/ROW]
[ROW][C]121[/C][C]0.505493[/C][C]0.989014[/C][C]0.494507[/C][/ROW]
[ROW][C]122[/C][C]0.490167[/C][C]0.980334[/C][C]0.509833[/C][/ROW]
[ROW][C]123[/C][C]0.577816[/C][C]0.844369[/C][C]0.422184[/C][/ROW]
[ROW][C]124[/C][C]0.566629[/C][C]0.866742[/C][C]0.433371[/C][/ROW]
[ROW][C]125[/C][C]0.558883[/C][C]0.882235[/C][C]0.441117[/C][/ROW]
[ROW][C]126[/C][C]0.532469[/C][C]0.935062[/C][C]0.467531[/C][/ROW]
[ROW][C]127[/C][C]0.551611[/C][C]0.896778[/C][C]0.448389[/C][/ROW]
[ROW][C]128[/C][C]0.526467[/C][C]0.947065[/C][C]0.473533[/C][/ROW]
[ROW][C]129[/C][C]0.686746[/C][C]0.626508[/C][C]0.313254[/C][/ROW]
[ROW][C]130[/C][C]0.666158[/C][C]0.667684[/C][C]0.333842[/C][/ROW]
[ROW][C]131[/C][C]0.648495[/C][C]0.703011[/C][C]0.351505[/C][/ROW]
[ROW][C]132[/C][C]0.654267[/C][C]0.691466[/C][C]0.345733[/C][/ROW]
[ROW][C]133[/C][C]0.638268[/C][C]0.723464[/C][C]0.361732[/C][/ROW]
[ROW][C]134[/C][C]0.622049[/C][C]0.755902[/C][C]0.377951[/C][/ROW]
[ROW][C]135[/C][C]0.595569[/C][C]0.808863[/C][C]0.404431[/C][/ROW]
[ROW][C]136[/C][C]0.568044[/C][C]0.863913[/C][C]0.431956[/C][/ROW]
[ROW][C]137[/C][C]0.607037[/C][C]0.785927[/C][C]0.392963[/C][/ROW]
[ROW][C]138[/C][C]0.656471[/C][C]0.687059[/C][C]0.343529[/C][/ROW]
[ROW][C]139[/C][C]0.709537[/C][C]0.580926[/C][C]0.290463[/C][/ROW]
[ROW][C]140[/C][C]0.711354[/C][C]0.577291[/C][C]0.288646[/C][/ROW]
[ROW][C]141[/C][C]0.688737[/C][C]0.622525[/C][C]0.311263[/C][/ROW]
[ROW][C]142[/C][C]0.729148[/C][C]0.541703[/C][C]0.270852[/C][/ROW]
[ROW][C]143[/C][C]0.716009[/C][C]0.567982[/C][C]0.283991[/C][/ROW]
[ROW][C]144[/C][C]0.750043[/C][C]0.499915[/C][C]0.249957[/C][/ROW]
[ROW][C]145[/C][C]0.748272[/C][C]0.503456[/C][C]0.251728[/C][/ROW]
[ROW][C]146[/C][C]0.767321[/C][C]0.465359[/C][C]0.232679[/C][/ROW]
[ROW][C]147[/C][C]0.742665[/C][C]0.51467[/C][C]0.257335[/C][/ROW]
[ROW][C]148[/C][C]0.722465[/C][C]0.555071[/C][C]0.277535[/C][/ROW]
[ROW][C]149[/C][C]0.702337[/C][C]0.595326[/C][C]0.297663[/C][/ROW]
[ROW][C]150[/C][C]0.750116[/C][C]0.499769[/C][C]0.249884[/C][/ROW]
[ROW][C]151[/C][C]0.784844[/C][C]0.430311[/C][C]0.215156[/C][/ROW]
[ROW][C]152[/C][C]0.779939[/C][C]0.440121[/C][C]0.220061[/C][/ROW]
[ROW][C]153[/C][C]0.81947[/C][C]0.36106[/C][C]0.18053[/C][/ROW]
[ROW][C]154[/C][C]0.818512[/C][C]0.362977[/C][C]0.181488[/C][/ROW]
[ROW][C]155[/C][C]0.812636[/C][C]0.374729[/C][C]0.187364[/C][/ROW]
[ROW][C]156[/C][C]0.7985[/C][C]0.403[/C][C]0.2015[/C][/ROW]
[ROW][C]157[/C][C]0.851605[/C][C]0.296791[/C][C]0.148395[/C][/ROW]
[ROW][C]158[/C][C]0.839185[/C][C]0.321631[/C][C]0.160815[/C][/ROW]
[ROW][C]159[/C][C]0.832568[/C][C]0.334864[/C][C]0.167432[/C][/ROW]
[ROW][C]160[/C][C]0.827092[/C][C]0.345815[/C][C]0.172908[/C][/ROW]
[ROW][C]161[/C][C]0.868333[/C][C]0.263333[/C][C]0.131667[/C][/ROW]
[ROW][C]162[/C][C]0.875381[/C][C]0.249238[/C][C]0.124619[/C][/ROW]
[ROW][C]163[/C][C]0.873831[/C][C]0.252337[/C][C]0.126169[/C][/ROW]
[ROW][C]164[/C][C]0.870739[/C][C]0.258521[/C][C]0.129261[/C][/ROW]
[ROW][C]165[/C][C]0.923382[/C][C]0.153236[/C][C]0.0766178[/C][/ROW]
[ROW][C]166[/C][C]0.914493[/C][C]0.171015[/C][C]0.0855074[/C][/ROW]
[ROW][C]167[/C][C]0.934539[/C][C]0.130922[/C][C]0.0654609[/C][/ROW]
[ROW][C]168[/C][C]0.931671[/C][C]0.136658[/C][C]0.0683291[/C][/ROW]
[ROW][C]169[/C][C]0.924424[/C][C]0.151153[/C][C]0.0755763[/C][/ROW]
[ROW][C]170[/C][C]0.922389[/C][C]0.155221[/C][C]0.0776107[/C][/ROW]
[ROW][C]171[/C][C]0.925389[/C][C]0.149222[/C][C]0.074611[/C][/ROW]
[ROW][C]172[/C][C]0.937801[/C][C]0.124398[/C][C]0.0621992[/C][/ROW]
[ROW][C]173[/C][C]0.931713[/C][C]0.136574[/C][C]0.0682871[/C][/ROW]
[ROW][C]174[/C][C]0.92504[/C][C]0.149921[/C][C]0.0749603[/C][/ROW]
[ROW][C]175[/C][C]0.917976[/C][C]0.164048[/C][C]0.082024[/C][/ROW]
[ROW][C]176[/C][C]0.937795[/C][C]0.124409[/C][C]0.0622047[/C][/ROW]
[ROW][C]177[/C][C]0.92603[/C][C]0.147941[/C][C]0.0739703[/C][/ROW]
[ROW][C]178[/C][C]0.939326[/C][C]0.121348[/C][C]0.060674[/C][/ROW]
[ROW][C]179[/C][C]0.937348[/C][C]0.125303[/C][C]0.0626517[/C][/ROW]
[ROW][C]180[/C][C]0.972675[/C][C]0.0546502[/C][C]0.0273251[/C][/ROW]
[ROW][C]181[/C][C]0.967868[/C][C]0.0642632[/C][C]0.0321316[/C][/ROW]
[ROW][C]182[/C][C]0.96207[/C][C]0.0758594[/C][C]0.0379297[/C][/ROW]
[ROW][C]183[/C][C]0.977787[/C][C]0.0444269[/C][C]0.0222134[/C][/ROW]
[ROW][C]184[/C][C]0.974129[/C][C]0.0517411[/C][C]0.0258706[/C][/ROW]
[ROW][C]185[/C][C]0.968203[/C][C]0.063595[/C][C]0.0317975[/C][/ROW]
[ROW][C]186[/C][C]0.965045[/C][C]0.0699099[/C][C]0.0349549[/C][/ROW]
[ROW][C]187[/C][C]0.966279[/C][C]0.0674412[/C][C]0.0337206[/C][/ROW]
[ROW][C]188[/C][C]0.960631[/C][C]0.0787384[/C][C]0.0393692[/C][/ROW]
[ROW][C]189[/C][C]0.957194[/C][C]0.0856111[/C][C]0.0428055[/C][/ROW]
[ROW][C]190[/C][C]0.947971[/C][C]0.104059[/C][C]0.0520293[/C][/ROW]
[ROW][C]191[/C][C]0.94264[/C][C]0.11472[/C][C]0.0573601[/C][/ROW]
[ROW][C]192[/C][C]0.940768[/C][C]0.118464[/C][C]0.0592319[/C][/ROW]
[ROW][C]193[/C][C]0.939462[/C][C]0.121077[/C][C]0.0605385[/C][/ROW]
[ROW][C]194[/C][C]0.94676[/C][C]0.10648[/C][C]0.0532402[/C][/ROW]
[ROW][C]195[/C][C]0.937582[/C][C]0.124837[/C][C]0.0624184[/C][/ROW]
[ROW][C]196[/C][C]0.931763[/C][C]0.136473[/C][C]0.0682367[/C][/ROW]
[ROW][C]197[/C][C]0.919691[/C][C]0.160619[/C][C]0.0803093[/C][/ROW]
[ROW][C]198[/C][C]0.906275[/C][C]0.187451[/C][C]0.0937254[/C][/ROW]
[ROW][C]199[/C][C]0.891591[/C][C]0.216818[/C][C]0.108409[/C][/ROW]
[ROW][C]200[/C][C]0.881449[/C][C]0.237103[/C][C]0.118551[/C][/ROW]
[ROW][C]201[/C][C]0.926585[/C][C]0.14683[/C][C]0.0734149[/C][/ROW]
[ROW][C]202[/C][C]0.913704[/C][C]0.172592[/C][C]0.0862961[/C][/ROW]
[ROW][C]203[/C][C]0.901819[/C][C]0.196362[/C][C]0.0981808[/C][/ROW]
[ROW][C]204[/C][C]0.888172[/C][C]0.223655[/C][C]0.111828[/C][/ROW]
[ROW][C]205[/C][C]0.868118[/C][C]0.263764[/C][C]0.131882[/C][/ROW]
[ROW][C]206[/C][C]0.847897[/C][C]0.304207[/C][C]0.152103[/C][/ROW]
[ROW][C]207[/C][C]0.848273[/C][C]0.303453[/C][C]0.151727[/C][/ROW]
[ROW][C]208[/C][C]0.823339[/C][C]0.353321[/C][C]0.176661[/C][/ROW]
[ROW][C]209[/C][C]0.855789[/C][C]0.288422[/C][C]0.144211[/C][/ROW]
[ROW][C]210[/C][C]0.871036[/C][C]0.257928[/C][C]0.128964[/C][/ROW]
[ROW][C]211[/C][C]0.851349[/C][C]0.297303[/C][C]0.148651[/C][/ROW]
[ROW][C]212[/C][C]0.837251[/C][C]0.325498[/C][C]0.162749[/C][/ROW]
[ROW][C]213[/C][C]0.839926[/C][C]0.320148[/C][C]0.160074[/C][/ROW]
[ROW][C]214[/C][C]0.819306[/C][C]0.361388[/C][C]0.180694[/C][/ROW]
[ROW][C]215[/C][C]0.796598[/C][C]0.406804[/C][C]0.203402[/C][/ROW]
[ROW][C]216[/C][C]0.767191[/C][C]0.465618[/C][C]0.232809[/C][/ROW]
[ROW][C]217[/C][C]0.772976[/C][C]0.454048[/C][C]0.227024[/C][/ROW]
[ROW][C]218[/C][C]0.818916[/C][C]0.362168[/C][C]0.181084[/C][/ROW]
[ROW][C]219[/C][C]0.792472[/C][C]0.415056[/C][C]0.207528[/C][/ROW]
[ROW][C]220[/C][C]0.766317[/C][C]0.467367[/C][C]0.233683[/C][/ROW]
[ROW][C]221[/C][C]0.756153[/C][C]0.487694[/C][C]0.243847[/C][/ROW]
[ROW][C]222[/C][C]0.867891[/C][C]0.264217[/C][C]0.132109[/C][/ROW]
[ROW][C]223[/C][C]0.842925[/C][C]0.31415[/C][C]0.157075[/C][/ROW]
[ROW][C]224[/C][C]0.837653[/C][C]0.324693[/C][C]0.162347[/C][/ROW]
[ROW][C]225[/C][C]0.857824[/C][C]0.284352[/C][C]0.142176[/C][/ROW]
[ROW][C]226[/C][C]0.833036[/C][C]0.333929[/C][C]0.166964[/C][/ROW]
[ROW][C]227[/C][C]0.817289[/C][C]0.365421[/C][C]0.182711[/C][/ROW]
[ROW][C]228[/C][C]0.818401[/C][C]0.363198[/C][C]0.181599[/C][/ROW]
[ROW][C]229[/C][C]0.890428[/C][C]0.219144[/C][C]0.109572[/C][/ROW]
[ROW][C]230[/C][C]0.909603[/C][C]0.180795[/C][C]0.0903973[/C][/ROW]
[ROW][C]231[/C][C]0.923182[/C][C]0.153636[/C][C]0.0768181[/C][/ROW]
[ROW][C]232[/C][C]0.947595[/C][C]0.10481[/C][C]0.0524049[/C][/ROW]
[ROW][C]233[/C][C]0.933722[/C][C]0.132556[/C][C]0.066278[/C][/ROW]
[ROW][C]234[/C][C]0.920092[/C][C]0.159816[/C][C]0.0799079[/C][/ROW]
[ROW][C]235[/C][C]0.909058[/C][C]0.181885[/C][C]0.0909424[/C][/ROW]
[ROW][C]236[/C][C]0.974253[/C][C]0.0514938[/C][C]0.0257469[/C][/ROW]
[ROW][C]237[/C][C]0.97342[/C][C]0.0531603[/C][C]0.0265802[/C][/ROW]
[ROW][C]238[/C][C]0.966756[/C][C]0.0664884[/C][C]0.0332442[/C][/ROW]
[ROW][C]239[/C][C]0.955713[/C][C]0.0885731[/C][C]0.0442865[/C][/ROW]
[ROW][C]240[/C][C]0.941512[/C][C]0.116976[/C][C]0.0584879[/C][/ROW]
[ROW][C]241[/C][C]0.92581[/C][C]0.14838[/C][C]0.0741898[/C][/ROW]
[ROW][C]242[/C][C]0.932471[/C][C]0.135059[/C][C]0.0675294[/C][/ROW]
[ROW][C]243[/C][C]0.925284[/C][C]0.149432[/C][C]0.0747162[/C][/ROW]
[ROW][C]244[/C][C]0.954286[/C][C]0.091429[/C][C]0.0457145[/C][/ROW]
[ROW][C]245[/C][C]0.941148[/C][C]0.117704[/C][C]0.058852[/C][/ROW]
[ROW][C]246[/C][C]0.932625[/C][C]0.13475[/C][C]0.067375[/C][/ROW]
[ROW][C]247[/C][C]0.936678[/C][C]0.126643[/C][C]0.0633215[/C][/ROW]
[ROW][C]248[/C][C]0.930487[/C][C]0.139025[/C][C]0.0695126[/C][/ROW]
[ROW][C]249[/C][C]0.92394[/C][C]0.152121[/C][C]0.0760603[/C][/ROW]
[ROW][C]250[/C][C]0.918119[/C][C]0.163762[/C][C]0.0818809[/C][/ROW]
[ROW][C]251[/C][C]0.90053[/C][C]0.19894[/C][C]0.0994701[/C][/ROW]
[ROW][C]252[/C][C]0.871239[/C][C]0.257521[/C][C]0.128761[/C][/ROW]
[ROW][C]253[/C][C]0.861979[/C][C]0.276042[/C][C]0.138021[/C][/ROW]
[ROW][C]254[/C][C]0.822477[/C][C]0.355046[/C][C]0.177523[/C][/ROW]
[ROW][C]255[/C][C]0.85929[/C][C]0.28142[/C][C]0.14071[/C][/ROW]
[ROW][C]256[/C][C]0.831437[/C][C]0.337127[/C][C]0.168563[/C][/ROW]
[ROW][C]257[/C][C]0.861223[/C][C]0.277554[/C][C]0.138777[/C][/ROW]
[ROW][C]258[/C][C]0.920156[/C][C]0.159688[/C][C]0.079844[/C][/ROW]
[ROW][C]259[/C][C]0.91384[/C][C]0.172321[/C][C]0.0861604[/C][/ROW]
[ROW][C]260[/C][C]0.94921[/C][C]0.101581[/C][C]0.0507904[/C][/ROW]
[ROW][C]261[/C][C]0.932199[/C][C]0.135603[/C][C]0.0678014[/C][/ROW]
[ROW][C]262[/C][C]0.941029[/C][C]0.117942[/C][C]0.0589711[/C][/ROW]
[ROW][C]263[/C][C]0.943523[/C][C]0.112955[/C][C]0.0564774[/C][/ROW]
[ROW][C]264[/C][C]0.928353[/C][C]0.143295[/C][C]0.0716473[/C][/ROW]
[ROW][C]265[/C][C]0.89219[/C][C]0.21562[/C][C]0.10781[/C][/ROW]
[ROW][C]266[/C][C]0.838447[/C][C]0.323107[/C][C]0.161553[/C][/ROW]
[ROW][C]267[/C][C]0.797073[/C][C]0.405855[/C][C]0.202927[/C][/ROW]
[ROW][C]268[/C][C]0.708379[/C][C]0.583242[/C][C]0.291621[/C][/ROW]
[ROW][C]269[/C][C]0.848566[/C][C]0.302868[/C][C]0.151434[/C][/ROW]
[ROW][C]270[/C][C]0.757418[/C][C]0.485163[/C][C]0.242582[/C][/ROW]
[ROW][C]271[/C][C]0.637499[/C][C]0.725001[/C][C]0.362501[/C][/ROW]
[ROW][C]272[/C][C]0.470427[/C][C]0.940854[/C][C]0.529573[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265443&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265443&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
60.5338860.9322280.466114
70.4028140.8056270.597186
80.3999870.7999750.600013
90.280690.561380.71931
100.2340170.4680350.765983
110.1634470.3268950.836553
120.2118920.4237850.788108
130.1480.2959990.852
140.1066930.2133860.893307
150.3058530.6117050.694147
160.234370.468740.76563
170.1937570.3875140.806243
180.1726130.3452260.827387
190.1278780.2557560.872122
200.09981810.1996360.900182
210.1224010.2448010.877599
220.1442490.2884980.855751
230.1099120.2198230.890088
240.1213550.242710.878645
250.09551520.191030.904485
260.07118630.1423730.928814
270.1129880.2259750.887012
280.08640470.1728090.913595
290.0666130.1332260.933387
300.04994470.09988950.950055
310.05018910.1003780.949811
320.03807110.07614230.961929
330.03124250.0624850.968757
340.02359380.04718770.976406
350.01702040.03404080.98298
360.0121890.0243780.987811
370.008898110.01779620.991102
380.006032890.01206580.993967
390.004579740.009159480.99542
400.00327230.006544610.996728
410.007094190.01418840.992906
420.005279920.01055980.99472
430.005053790.01010760.994946
440.003591290.007182580.996409
450.002409430.004818850.997591
460.001698850.00339770.998301
470.001263220.002526450.998737
480.002194760.004389520.997805
490.001715920.003431840.998284
500.001159380.002318750.998841
510.0007655540.001531110.999234
520.001856680.003713360.998143
530.001333310.002666620.998667
540.0009229110.001845820.999077
550.0009217390.001843480.999078
560.0006724010.00134480.999328
570.002949740.005899490.99705
580.003506760.007013530.996493
590.004018230.008036460.995982
600.003606380.007212750.996394
610.003139790.006279580.99686
620.002573590.005147190.997426
630.003644430.007288870.996356
640.006586280.01317260.993414
650.006314970.01262990.993685
660.005522040.01104410.994478
670.004494180.008988370.995506
680.00384740.007694790.996153
690.004276060.008552120.995724
700.003421210.006842420.996579
710.002847090.005694190.997153
720.002305040.004610090.997695
730.00219720.00439440.997803
740.002585020.005170030.997415
750.002220290.004440580.99778
760.001965910.003931810.998034
770.00153470.003069390.998465
780.001376910.002753810.998623
790.001138720.002277450.998861
800.001676490.003352980.998324
810.001317350.002634690.998683
820.001159730.002319460.99884
830.0008869440.001773890.999113
840.004443150.008886310.995557
850.003683510.007367020.996316
860.002842830.005685660.997157
870.00214250.004284990.997858
880.001668520.003337050.998331
890.001816110.003632230.998184
900.001597050.003194110.998403
910.001285610.002571210.998714
920.003255660.006511320.996744
930.002647490.005294980.997353
940.002805240.005610480.997195
950.003321520.006643030.996678
960.003405870.006811740.996594
970.004433810.008867610.995566
980.003533310.007066620.996467
990.003513470.007026950.996487
1000.004023970.008047940.995976
1010.003218130.006436270.996782
1020.002835790.005671580.997164
1030.003025660.006051320.996974
1040.002635060.005270110.997365
1050.00298090.005961810.997019
1060.003576860.007153720.996423
1070.003453270.006906530.996547
1080.01387210.02774420.986128
1090.02829830.05659670.971702
1100.02957440.05914880.970426
1110.02748810.05497630.972512
1120.02369160.04738320.976308
1130.0941220.1882440.905878
1140.08606180.1721240.913938
1150.1568230.3136450.843177
1160.2371790.4743570.762821
1170.3010890.6021790.698911
1180.282140.5642810.71786
1190.344050.68810.65595
1200.4806280.9612570.519372
1210.5054930.9890140.494507
1220.4901670.9803340.509833
1230.5778160.8443690.422184
1240.5666290.8667420.433371
1250.5588830.8822350.441117
1260.5324690.9350620.467531
1270.5516110.8967780.448389
1280.5264670.9470650.473533
1290.6867460.6265080.313254
1300.6661580.6676840.333842
1310.6484950.7030110.351505
1320.6542670.6914660.345733
1330.6382680.7234640.361732
1340.6220490.7559020.377951
1350.5955690.8088630.404431
1360.5680440.8639130.431956
1370.6070370.7859270.392963
1380.6564710.6870590.343529
1390.7095370.5809260.290463
1400.7113540.5772910.288646
1410.6887370.6225250.311263
1420.7291480.5417030.270852
1430.7160090.5679820.283991
1440.7500430.4999150.249957
1450.7482720.5034560.251728
1460.7673210.4653590.232679
1470.7426650.514670.257335
1480.7224650.5550710.277535
1490.7023370.5953260.297663
1500.7501160.4997690.249884
1510.7848440.4303110.215156
1520.7799390.4401210.220061
1530.819470.361060.18053
1540.8185120.3629770.181488
1550.8126360.3747290.187364
1560.79850.4030.2015
1570.8516050.2967910.148395
1580.8391850.3216310.160815
1590.8325680.3348640.167432
1600.8270920.3458150.172908
1610.8683330.2633330.131667
1620.8753810.2492380.124619
1630.8738310.2523370.126169
1640.8707390.2585210.129261
1650.9233820.1532360.0766178
1660.9144930.1710150.0855074
1670.9345390.1309220.0654609
1680.9316710.1366580.0683291
1690.9244240.1511530.0755763
1700.9223890.1552210.0776107
1710.9253890.1492220.074611
1720.9378010.1243980.0621992
1730.9317130.1365740.0682871
1740.925040.1499210.0749603
1750.9179760.1640480.082024
1760.9377950.1244090.0622047
1770.926030.1479410.0739703
1780.9393260.1213480.060674
1790.9373480.1253030.0626517
1800.9726750.05465020.0273251
1810.9678680.06426320.0321316
1820.962070.07585940.0379297
1830.9777870.04442690.0222134
1840.9741290.05174110.0258706
1850.9682030.0635950.0317975
1860.9650450.06990990.0349549
1870.9662790.06744120.0337206
1880.9606310.07873840.0393692
1890.9571940.08561110.0428055
1900.9479710.1040590.0520293
1910.942640.114720.0573601
1920.9407680.1184640.0592319
1930.9394620.1210770.0605385
1940.946760.106480.0532402
1950.9375820.1248370.0624184
1960.9317630.1364730.0682367
1970.9196910.1606190.0803093
1980.9062750.1874510.0937254
1990.8915910.2168180.108409
2000.8814490.2371030.118551
2010.9265850.146830.0734149
2020.9137040.1725920.0862961
2030.9018190.1963620.0981808
2040.8881720.2236550.111828
2050.8681180.2637640.131882
2060.8478970.3042070.152103
2070.8482730.3034530.151727
2080.8233390.3533210.176661
2090.8557890.2884220.144211
2100.8710360.2579280.128964
2110.8513490.2973030.148651
2120.8372510.3254980.162749
2130.8399260.3201480.160074
2140.8193060.3613880.180694
2150.7965980.4068040.203402
2160.7671910.4656180.232809
2170.7729760.4540480.227024
2180.8189160.3621680.181084
2190.7924720.4150560.207528
2200.7663170.4673670.233683
2210.7561530.4876940.243847
2220.8678910.2642170.132109
2230.8429250.314150.157075
2240.8376530.3246930.162347
2250.8578240.2843520.142176
2260.8330360.3339290.166964
2270.8172890.3654210.182711
2280.8184010.3631980.181599
2290.8904280.2191440.109572
2300.9096030.1807950.0903973
2310.9231820.1536360.0768181
2320.9475950.104810.0524049
2330.9337220.1325560.066278
2340.9200920.1598160.0799079
2350.9090580.1818850.0909424
2360.9742530.05149380.0257469
2370.973420.05316030.0265802
2380.9667560.06648840.0332442
2390.9557130.08857310.0442865
2400.9415120.1169760.0584879
2410.925810.148380.0741898
2420.9324710.1350590.0675294
2430.9252840.1494320.0747162
2440.9542860.0914290.0457145
2450.9411480.1177040.058852
2460.9326250.134750.067375
2470.9366780.1266430.0633215
2480.9304870.1390250.0695126
2490.923940.1521210.0760603
2500.9181190.1637620.0818809
2510.900530.198940.0994701
2520.8712390.2575210.128761
2530.8619790.2760420.138021
2540.8224770.3550460.177523
2550.859290.281420.14071
2560.8314370.3371270.168563
2570.8612230.2775540.138777
2580.9201560.1596880.079844
2590.913840.1723210.0861604
2600.949210.1015810.0507904
2610.9321990.1356030.0678014
2620.9410290.1179420.0589711
2630.9435230.1129550.0564774
2640.9283530.1432950.0716473
2650.892190.215620.10781
2660.8384470.3231070.161553
2670.7970730.4058550.202927
2680.7083790.5832420.291621
2690.8485660.3028680.151434
2700.7574180.4851630.242582
2710.6374990.7250010.362501
2720.4704270.9408540.529573






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level630.235955NOK
5% type I error level770.28839NOK
10% type I error level970.363296NOK

\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 & 63 & 0.235955 & NOK \tabularnewline
5% type I error level & 77 & 0.28839 & NOK \tabularnewline
10% type I error level & 97 & 0.363296 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265443&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]63[/C][C]0.235955[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]77[/C][C]0.28839[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]97[/C][C]0.363296[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265443&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265443&T=6

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

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level630.235955NOK
5% type I error level770.28839NOK
10% type I error level970.363296NOK


Figures (Output of Computation)

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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')
}