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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationTue, 16 Dec 2014 17:49:11 +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/16/t1418752270zw5j3njnwcprnwm.htm/, Retrieved Thu, 16 May 2024 09:05:10 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=269872, Retrieved Thu, 16 May 2024 09:05:10 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact45

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Multiple Regression] [linear regression] [2014-12-16 17:49:11] [a0dc8dfb1ad11084a66a61bab0a3c2c7] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
12,9	9
12,2	10,5
12,8	11
7,4	11,5
6,7	10,5
12,6	13,5
14,8	10,5
13,3	12
11,1	14,5
8,2	11
11,4	10,5
6,4	11
10,6	11
12	13,5
6,3	9,5
11,3	10
11,9	12,5
9,3	11
9,6	11,5
10	9,5
6,4	10,5
13,8	17,5
10,8	10,5
13,8	11,5
11,7	11,5
10,9	11
16,1	17,5
13,4	9,5
9,9	9,5
11,5	9,5
8,3	9,5
11,7	10,5
6,1	8
9	10
9,7	16
10,8	11,5
10,3	12,5
10,4	9
12,7	12
9,3	14
11,8	11,5
5,9	10
11,4	12,5
13	11,5
10,8	9
12,3	9,5
11,3	13
11,8	10
7,9	13
12,7	8
12,3	11
11,6	10,5
6,7	9
10,9	9
12,1	9,5
13,3	12
10,1	9,5
5,7	10
14,3	10,5
8	8,5
13,3	9,5
9,3	10,5
12,5	12
7,6	9
15,9	11,5
9,2	10,5
9,1	10
11,1	14
13	10
14,5	13,5
12,2	10,5
12,3	14,5
11,4	10
8,8	9
14,6	13
7,3	12,5
12,6	10,5
13	11,5
12,6	11
13,2	10
9,9	11
7,7	10,5
10,5	10,5
13,4	9,5
10,9	10
4,3	8,5
10,3	11
11,8	11
11,2	11,5
11,4	12
8,6	10,5
13,2	9,5
12,6	8,5
5,6	9
9,9	7,5
8,8	9,5
7,7	9,5
9	8,5
7,3	9,5
11,4	9,5
13,6	9
7,9	12
10,7	9
10,3	9,5
8,3	9
9,6	10,5
14,2	9,5
8,5	11
13,5	10
4,9	8,5
6,4	8,5
9,6	9
11,6	9,5
11,1	9
4,35	5
12,7	5
18,1	20
17,85	20
16,6	15
12,6	10
17,1	20
19,1	20
16,1	20
13,35	10
18,4	20
14,7	5
10,6	15
12,6	15
16,2	20
13,6	15
18,9	20
14,1	15
14,5	15
16,15	20
14,75	15
14,8	15
12,45	10
12,65	10
17,35	15
8,6	5
18,4	20
16,1	15
11,6	10
17,75	20
15,25	20
17,65	20
15,6	20
16,35	20
17,65	20
13,6	15
11,7	20
14,35	15
14,75	20
18,25	20
9,9	20
16	15
18,25	20
16,85	20
14,6	10
13,85	10
18,95	20
15,6	15
14,85	15
11,75	10
18,45	15
15,9	10
17,1	20
16,1	5
19,9	20
10,95	5
18,45	20
15,1	15
15	15
11,35	10
15,95	15
18,1	15
14,6	20
15,4	20
15,4	20
17,6	15
13,35	15
19,1	20
15,35	20
7,6	5
13,4	10
13,9	15
19,1	20
15,25	15
12,9	20
16,1	15
17,35	15
13,15	15
12,15	15
12,6	5
10,35	5
15,4	15
9,6	10
18,2	15
13,6	10
14,85	10
14,75	20
14,1	10
14,9	10
16,25	15
19,25	20
13,6	10
13,6	20
15,65	15
12,75	20
14,6	10
9,85	5
12,65	5
11,9	5
19,2	20
16,6	15
11,2	5
15,25	20
11,9	15
13,2	10
16,35	20
12,4	15
15,85	15
14,35	20
18,15	20
11,15	5
15,65	15
17,75	20
7,65	5
12,35	15
15,6	20
19,3	20
15,2	5
17,1	20
15,6	10
18,4	15
19,05	20
18,55	20
19,1	20
13,1	10
12,85	20
9,5	10
4,5	5
11,85	5
13,6	20
11,7	10
12,4	10
13,35	15
11,4	10
14,9	15
19,9	20
17,75	20
11,2	10
14,6	15
17,6	20
14,05	15
16,1	20
13,35	20
11,85	20
11,95	10
14,75	10
15,15	10
13,2	20
16,85	15
7,85	10
7,7	10
12,6	15
7,85	15
10,95	5
12,35	10
9,95	10
14,9	15
16,65	15
13,4	10
13,95	10
15,7	15
16,85	15
10,95	5
15,35	15
12,2	10
15,1	10
17,75	15
15,2	15
14,6	15
16,65	15
8,1	5

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time8 seconds
R Server'George Udny Yule' @ yule.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 8 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=269872&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]8 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=269872&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=269872&T=0

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


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time8 seconds
R Server'George Udny Yule' @ yule.wessa.net






Multiple Linear Regression - Estimated Regression Equation
TotaleScore[t] = + 6.46512 + 0.502907PeerReviewScore[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
TotaleScore[t] =  +  6.46512 +  0.502907PeerReviewScore[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=269872&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]TotaleScore[t] =  +  6.46512 +  0.502907PeerReviewScore[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=269872&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=269872&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
TotaleScore[t] = + 6.46512 + 0.502907PeerReviewScore[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)6.465120.46288613.974.43535e-342.21768e-34
PeerReviewScore0.5029070.033893114.843.08119e-371.5406e-37

\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) & 6.46512 & 0.462886 & 13.97 & 4.43535e-34 & 2.21768e-34 \tabularnewline
PeerReviewScore & 0.502907 & 0.0338931 & 14.84 & 3.08119e-37 & 1.5406e-37 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=269872&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]6.46512[/C][C]0.462886[/C][C]13.97[/C][C]4.43535e-34[/C][C]2.21768e-34[/C][/ROW]
[ROW][C]PeerReviewScore[/C][C]0.502907[/C][C]0.0338931[/C][C]14.84[/C][C]3.08119e-37[/C][C]1.5406e-37[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=269872&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=269872&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)6.465120.46288613.974.43535e-342.21768e-34
PeerReviewScore0.5029070.033893114.843.08119e-371.5406e-37






Multiple Linear Regression - Regression Statistics
Multiple R0.661485
R-squared0.437562
Adjusted R-squared0.435575
F-TEST (value)220.167
F-TEST (DF numerator)1
F-TEST (DF denominator)283
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.56297
Sum Squared Residuals1858.97

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.661485 \tabularnewline
R-squared & 0.437562 \tabularnewline
Adjusted R-squared & 0.435575 \tabularnewline
F-TEST (value) & 220.167 \tabularnewline
F-TEST (DF numerator) & 1 \tabularnewline
F-TEST (DF denominator) & 283 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 2.56297 \tabularnewline
Sum Squared Residuals & 1858.97 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=269872&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.661485[/C][/ROW]
[ROW][C]R-squared[/C][C]0.437562[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.435575[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]220.167[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]1[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]283[/C][/ROW]
[ROW][C]p-value[/C][C]0[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]2.56297[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]1858.97[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=269872&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=269872&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 R0.661485
R-squared0.437562
Adjusted R-squared0.435575
F-TEST (value)220.167
F-TEST (DF numerator)1
F-TEST (DF denominator)283
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.56297
Sum Squared Residuals1858.97






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
112.910.99131.90871
212.211.74560.454351
312.811.99710.802897
47.412.2486-4.84856
56.711.7456-5.04565
612.613.2544-0.654371
714.811.74563.05435
813.312.50.79999
911.113.7573-2.65728
108.211.9971-3.7971
1111.411.7456-0.345649
126.411.9971-5.5971
1310.611.9971-1.3971
141213.2544-1.25437
156.311.2427-4.94274
1611.311.4942-0.194196
1711.912.7515-0.851464
189.311.9971-2.6971
199.612.2486-2.64856
201011.2427-1.24274
216.411.7456-5.34565
2213.815.266-1.466
2310.811.7456-0.945649
2413.812.24861.55144
2511.712.2486-0.548556
2610.911.9971-1.0971
2716.115.2660.834001
2813.411.24272.15726
299.911.2427-1.34274
3011.511.24270.257258
318.311.2427-2.94274
3211.711.7456-0.0456494
336.110.4884-4.38838
34911.4942-2.4942
359.714.5116-4.81164
3610.812.2486-1.44856
3710.312.7515-2.45146
3810.410.9913-0.591289
3912.712.50.19999
409.313.5058-4.20582
4111.812.2486-0.448556
425.911.4942-5.5942
4311.412.7515-1.35146
441312.24860.751444
4510.810.9913-0.191289
4612.311.24271.05726
4711.313.0029-1.70292
4811.811.49420.305804
497.913.0029-5.10292
5012.710.48842.21162
5112.311.99710.302897
5211.611.7456-0.145649
536.710.9913-4.29129
5410.910.9913-0.0912887
5512.111.24270.857258
5613.312.50.79999
5710.111.2427-1.14274
585.711.4942-5.7942
5914.311.74562.55435
60810.7398-2.73984
6113.311.24272.05726
629.311.7456-2.44565
6312.512.5-1.00632e-05
647.610.9913-3.39129
6515.912.24863.65144
669.211.7456-2.54565
679.111.4942-2.3942
6811.113.5058-2.40582
691311.49421.5058
7014.513.25441.24563
7112.211.74560.454351
7212.313.7573-1.45728
7311.411.4942-0.0941958
748.810.9913-2.19129
7514.613.00291.59708
767.312.7515-5.45146
7712.611.74560.854351
781312.24860.751444
7912.611.99710.602897
8013.211.49421.7058
819.911.9971-2.0971
827.711.7456-4.04565
8310.511.7456-1.24565
8413.411.24272.15726
8510.911.4942-0.594196
864.310.7398-6.43984
8710.311.9971-1.6971
8811.811.9971-0.197103
8911.212.2486-1.04856
9011.412.5-1.10001
918.611.7456-3.14565
9213.211.24271.95726
9312.610.73981.86016
945.610.9913-5.39129
959.910.2369-0.336928
968.811.2427-2.44274
977.711.2427-3.54274
98910.7398-1.73984
997.311.2427-3.94274
10011.411.24270.157258
10113.610.99132.60871
1027.912.5-4.60001
10310.710.9913-0.291289
10410.311.2427-0.942742
1058.310.9913-2.69129
1069.611.7456-2.14565
10714.211.24272.95726
1088.511.9971-3.4971
10913.511.49422.0058
1104.910.7398-5.83984
1116.410.7398-4.33984
1129.610.9913-1.39129
11311.611.24270.357258
11411.110.99130.108711
1154.358.97966-4.62966
11612.78.979663.72034
11718.116.52331.57673
11817.8516.52331.32673
11916.614.00872.59127
12012.611.49421.1058
12117.116.52330.576733
12219.116.52332.57673
12316.116.5233-0.423267
12413.3511.49421.8558
12518.416.52331.87673
12614.78.979665.72034
12710.614.0087-3.40873
12812.614.0087-1.40873
12916.216.5233-0.323267
13013.614.0087-0.408731
13118.916.52332.37673
13214.114.00870.0912686
13314.514.00870.491269
13416.1516.5233-0.373267
13514.7514.00870.741269
13614.814.00870.791269
13712.4511.49420.955804
13812.6511.49421.1558
13917.3514.00873.34127
1408.68.97966-0.37966
14118.416.52331.87673
14216.114.00872.09127
14311.611.49420.105804
14417.7516.52331.22673
14515.2516.5233-1.27327
14617.6516.52331.12673
14715.616.5233-0.923267
14816.3516.5233-0.173267
14917.6516.52331.12673
15013.614.0087-0.408731
15111.716.5233-4.82327
15214.3514.00870.341269
15314.7516.5233-1.77327
15418.2516.52331.72673
1559.916.5233-6.62327
1561614.00871.99127
15718.2516.52331.72673
15816.8516.52330.326733
15914.611.49423.1058
16013.8511.49422.3558
16118.9516.52332.42673
16215.614.00871.59127
16314.8514.00870.841269
16411.7511.49420.255804
16518.4514.00874.44127
16615.911.49424.4058
16717.116.52330.576733
16816.18.979667.12034
16919.916.52333.37673
17010.958.979661.97034
17118.4516.52331.92673
17215.114.00871.09127
1731514.00870.991269
17411.3511.4942-0.144196
17515.9514.00871.94127
17618.114.00874.09127
17714.616.5233-1.92327
17815.416.5233-1.12327
17915.416.5233-1.12327
18017.614.00873.59127
18113.3514.0087-0.658731
18219.116.52332.57673
18315.3516.5233-1.17327
1847.68.97966-1.37966
18513.411.49421.9058
18613.914.0087-0.108731
18719.116.52332.57673
18815.2514.00871.24127
18912.916.5233-3.62327
19016.114.00872.09127
19117.3514.00873.34127
19213.1514.0087-0.858731
19312.1514.0087-1.85873
19412.68.979663.62034
19510.358.979661.37034
19615.414.00871.39127
1979.611.4942-1.8942
19818.214.00874.19127
19913.611.49422.1058
20014.8511.49423.3558
20114.7516.5233-1.77327
20214.111.49422.6058
20314.911.49423.4058
20416.2514.00872.24127
20519.2516.52332.72673
20613.611.49422.1058
20713.616.5233-2.92327
20815.6514.00871.64127
20912.7516.5233-3.77327
21014.611.49423.1058
2119.858.979660.87034
21212.658.979663.67034
21311.98.979662.92034
21419.216.52332.67673
21516.614.00872.59127
21611.28.979662.22034
21715.2516.5233-1.27327
21811.914.0087-2.10873
21913.211.49421.7058
22016.3516.5233-0.173267
22112.414.0087-1.60873
22215.8514.00871.84127
22314.3516.5233-2.17327
22418.1516.52331.62673
22511.158.979662.17034
22615.6514.00871.64127
22717.7516.52331.22673
2287.658.97966-1.32966
22912.3514.0087-1.65873
23015.616.5233-0.923267
23119.316.52332.77673
23215.28.979666.22034
23317.116.52330.576733
23415.611.49424.1058
23518.414.00874.39127
23619.0516.52332.52673
23718.5516.52332.02673
23819.116.52332.57673
23913.111.49421.6058
24012.8516.5233-3.67327
2419.511.4942-1.9942
2424.58.97966-4.47966
24311.858.979662.87034
24413.616.5233-2.92327
24511.711.49420.205804
24612.411.49420.905804
24713.3514.0087-0.658731
24811.411.4942-0.0941958
24914.914.00870.891269
25019.916.52333.37673
25117.7516.52331.22673
25211.211.4942-0.294196
25314.614.00870.591269
25417.616.52331.07673
25514.0514.00870.0412686
25616.116.5233-0.423267
25713.3516.5233-3.17327
25811.8516.5233-4.67327
25911.9511.49420.455804
26014.7511.49423.2558
26115.1511.49423.6558
26213.216.5233-3.32327
26316.8514.00872.84127
2647.8511.4942-3.6442
2657.711.4942-3.7942
26612.614.0087-1.40873
2677.8514.0087-6.15873
26810.958.979661.97034
26912.3511.49420.855804
2709.9511.4942-1.5442
27114.914.00870.891269
27216.6514.00872.64127
27313.411.49421.9058
27413.9511.49422.4558
27515.714.00871.69127
27616.8514.00872.84127
27710.958.979661.97034
27815.3514.00871.34127
27912.211.49420.705804
28015.111.49423.6058
28117.7514.00873.74127
28215.214.00871.19127
28314.614.00870.591269
28416.6514.00872.64127
2858.18.97966-0.87966

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 12.9 & 10.9913 & 1.90871 \tabularnewline
2 & 12.2 & 11.7456 & 0.454351 \tabularnewline
3 & 12.8 & 11.9971 & 0.802897 \tabularnewline
4 & 7.4 & 12.2486 & -4.84856 \tabularnewline
5 & 6.7 & 11.7456 & -5.04565 \tabularnewline
6 & 12.6 & 13.2544 & -0.654371 \tabularnewline
7 & 14.8 & 11.7456 & 3.05435 \tabularnewline
8 & 13.3 & 12.5 & 0.79999 \tabularnewline
9 & 11.1 & 13.7573 & -2.65728 \tabularnewline
10 & 8.2 & 11.9971 & -3.7971 \tabularnewline
11 & 11.4 & 11.7456 & -0.345649 \tabularnewline
12 & 6.4 & 11.9971 & -5.5971 \tabularnewline
13 & 10.6 & 11.9971 & -1.3971 \tabularnewline
14 & 12 & 13.2544 & -1.25437 \tabularnewline
15 & 6.3 & 11.2427 & -4.94274 \tabularnewline
16 & 11.3 & 11.4942 & -0.194196 \tabularnewline
17 & 11.9 & 12.7515 & -0.851464 \tabularnewline
18 & 9.3 & 11.9971 & -2.6971 \tabularnewline
19 & 9.6 & 12.2486 & -2.64856 \tabularnewline
20 & 10 & 11.2427 & -1.24274 \tabularnewline
21 & 6.4 & 11.7456 & -5.34565 \tabularnewline
22 & 13.8 & 15.266 & -1.466 \tabularnewline
23 & 10.8 & 11.7456 & -0.945649 \tabularnewline
24 & 13.8 & 12.2486 & 1.55144 \tabularnewline
25 & 11.7 & 12.2486 & -0.548556 \tabularnewline
26 & 10.9 & 11.9971 & -1.0971 \tabularnewline
27 & 16.1 & 15.266 & 0.834001 \tabularnewline
28 & 13.4 & 11.2427 & 2.15726 \tabularnewline
29 & 9.9 & 11.2427 & -1.34274 \tabularnewline
30 & 11.5 & 11.2427 & 0.257258 \tabularnewline
31 & 8.3 & 11.2427 & -2.94274 \tabularnewline
32 & 11.7 & 11.7456 & -0.0456494 \tabularnewline
33 & 6.1 & 10.4884 & -4.38838 \tabularnewline
34 & 9 & 11.4942 & -2.4942 \tabularnewline
35 & 9.7 & 14.5116 & -4.81164 \tabularnewline
36 & 10.8 & 12.2486 & -1.44856 \tabularnewline
37 & 10.3 & 12.7515 & -2.45146 \tabularnewline
38 & 10.4 & 10.9913 & -0.591289 \tabularnewline
39 & 12.7 & 12.5 & 0.19999 \tabularnewline
40 & 9.3 & 13.5058 & -4.20582 \tabularnewline
41 & 11.8 & 12.2486 & -0.448556 \tabularnewline
42 & 5.9 & 11.4942 & -5.5942 \tabularnewline
43 & 11.4 & 12.7515 & -1.35146 \tabularnewline
44 & 13 & 12.2486 & 0.751444 \tabularnewline
45 & 10.8 & 10.9913 & -0.191289 \tabularnewline
46 & 12.3 & 11.2427 & 1.05726 \tabularnewline
47 & 11.3 & 13.0029 & -1.70292 \tabularnewline
48 & 11.8 & 11.4942 & 0.305804 \tabularnewline
49 & 7.9 & 13.0029 & -5.10292 \tabularnewline
50 & 12.7 & 10.4884 & 2.21162 \tabularnewline
51 & 12.3 & 11.9971 & 0.302897 \tabularnewline
52 & 11.6 & 11.7456 & -0.145649 \tabularnewline
53 & 6.7 & 10.9913 & -4.29129 \tabularnewline
54 & 10.9 & 10.9913 & -0.0912887 \tabularnewline
55 & 12.1 & 11.2427 & 0.857258 \tabularnewline
56 & 13.3 & 12.5 & 0.79999 \tabularnewline
57 & 10.1 & 11.2427 & -1.14274 \tabularnewline
58 & 5.7 & 11.4942 & -5.7942 \tabularnewline
59 & 14.3 & 11.7456 & 2.55435 \tabularnewline
60 & 8 & 10.7398 & -2.73984 \tabularnewline
61 & 13.3 & 11.2427 & 2.05726 \tabularnewline
62 & 9.3 & 11.7456 & -2.44565 \tabularnewline
63 & 12.5 & 12.5 & -1.00632e-05 \tabularnewline
64 & 7.6 & 10.9913 & -3.39129 \tabularnewline
65 & 15.9 & 12.2486 & 3.65144 \tabularnewline
66 & 9.2 & 11.7456 & -2.54565 \tabularnewline
67 & 9.1 & 11.4942 & -2.3942 \tabularnewline
68 & 11.1 & 13.5058 & -2.40582 \tabularnewline
69 & 13 & 11.4942 & 1.5058 \tabularnewline
70 & 14.5 & 13.2544 & 1.24563 \tabularnewline
71 & 12.2 & 11.7456 & 0.454351 \tabularnewline
72 & 12.3 & 13.7573 & -1.45728 \tabularnewline
73 & 11.4 & 11.4942 & -0.0941958 \tabularnewline
74 & 8.8 & 10.9913 & -2.19129 \tabularnewline
75 & 14.6 & 13.0029 & 1.59708 \tabularnewline
76 & 7.3 & 12.7515 & -5.45146 \tabularnewline
77 & 12.6 & 11.7456 & 0.854351 \tabularnewline
78 & 13 & 12.2486 & 0.751444 \tabularnewline
79 & 12.6 & 11.9971 & 0.602897 \tabularnewline
80 & 13.2 & 11.4942 & 1.7058 \tabularnewline
81 & 9.9 & 11.9971 & -2.0971 \tabularnewline
82 & 7.7 & 11.7456 & -4.04565 \tabularnewline
83 & 10.5 & 11.7456 & -1.24565 \tabularnewline
84 & 13.4 & 11.2427 & 2.15726 \tabularnewline
85 & 10.9 & 11.4942 & -0.594196 \tabularnewline
86 & 4.3 & 10.7398 & -6.43984 \tabularnewline
87 & 10.3 & 11.9971 & -1.6971 \tabularnewline
88 & 11.8 & 11.9971 & -0.197103 \tabularnewline
89 & 11.2 & 12.2486 & -1.04856 \tabularnewline
90 & 11.4 & 12.5 & -1.10001 \tabularnewline
91 & 8.6 & 11.7456 & -3.14565 \tabularnewline
92 & 13.2 & 11.2427 & 1.95726 \tabularnewline
93 & 12.6 & 10.7398 & 1.86016 \tabularnewline
94 & 5.6 & 10.9913 & -5.39129 \tabularnewline
95 & 9.9 & 10.2369 & -0.336928 \tabularnewline
96 & 8.8 & 11.2427 & -2.44274 \tabularnewline
97 & 7.7 & 11.2427 & -3.54274 \tabularnewline
98 & 9 & 10.7398 & -1.73984 \tabularnewline
99 & 7.3 & 11.2427 & -3.94274 \tabularnewline
100 & 11.4 & 11.2427 & 0.157258 \tabularnewline
101 & 13.6 & 10.9913 & 2.60871 \tabularnewline
102 & 7.9 & 12.5 & -4.60001 \tabularnewline
103 & 10.7 & 10.9913 & -0.291289 \tabularnewline
104 & 10.3 & 11.2427 & -0.942742 \tabularnewline
105 & 8.3 & 10.9913 & -2.69129 \tabularnewline
106 & 9.6 & 11.7456 & -2.14565 \tabularnewline
107 & 14.2 & 11.2427 & 2.95726 \tabularnewline
108 & 8.5 & 11.9971 & -3.4971 \tabularnewline
109 & 13.5 & 11.4942 & 2.0058 \tabularnewline
110 & 4.9 & 10.7398 & -5.83984 \tabularnewline
111 & 6.4 & 10.7398 & -4.33984 \tabularnewline
112 & 9.6 & 10.9913 & -1.39129 \tabularnewline
113 & 11.6 & 11.2427 & 0.357258 \tabularnewline
114 & 11.1 & 10.9913 & 0.108711 \tabularnewline
115 & 4.35 & 8.97966 & -4.62966 \tabularnewline
116 & 12.7 & 8.97966 & 3.72034 \tabularnewline
117 & 18.1 & 16.5233 & 1.57673 \tabularnewline
118 & 17.85 & 16.5233 & 1.32673 \tabularnewline
119 & 16.6 & 14.0087 & 2.59127 \tabularnewline
120 & 12.6 & 11.4942 & 1.1058 \tabularnewline
121 & 17.1 & 16.5233 & 0.576733 \tabularnewline
122 & 19.1 & 16.5233 & 2.57673 \tabularnewline
123 & 16.1 & 16.5233 & -0.423267 \tabularnewline
124 & 13.35 & 11.4942 & 1.8558 \tabularnewline
125 & 18.4 & 16.5233 & 1.87673 \tabularnewline
126 & 14.7 & 8.97966 & 5.72034 \tabularnewline
127 & 10.6 & 14.0087 & -3.40873 \tabularnewline
128 & 12.6 & 14.0087 & -1.40873 \tabularnewline
129 & 16.2 & 16.5233 & -0.323267 \tabularnewline
130 & 13.6 & 14.0087 & -0.408731 \tabularnewline
131 & 18.9 & 16.5233 & 2.37673 \tabularnewline
132 & 14.1 & 14.0087 & 0.0912686 \tabularnewline
133 & 14.5 & 14.0087 & 0.491269 \tabularnewline
134 & 16.15 & 16.5233 & -0.373267 \tabularnewline
135 & 14.75 & 14.0087 & 0.741269 \tabularnewline
136 & 14.8 & 14.0087 & 0.791269 \tabularnewline
137 & 12.45 & 11.4942 & 0.955804 \tabularnewline
138 & 12.65 & 11.4942 & 1.1558 \tabularnewline
139 & 17.35 & 14.0087 & 3.34127 \tabularnewline
140 & 8.6 & 8.97966 & -0.37966 \tabularnewline
141 & 18.4 & 16.5233 & 1.87673 \tabularnewline
142 & 16.1 & 14.0087 & 2.09127 \tabularnewline
143 & 11.6 & 11.4942 & 0.105804 \tabularnewline
144 & 17.75 & 16.5233 & 1.22673 \tabularnewline
145 & 15.25 & 16.5233 & -1.27327 \tabularnewline
146 & 17.65 & 16.5233 & 1.12673 \tabularnewline
147 & 15.6 & 16.5233 & -0.923267 \tabularnewline
148 & 16.35 & 16.5233 & -0.173267 \tabularnewline
149 & 17.65 & 16.5233 & 1.12673 \tabularnewline
150 & 13.6 & 14.0087 & -0.408731 \tabularnewline
151 & 11.7 & 16.5233 & -4.82327 \tabularnewline
152 & 14.35 & 14.0087 & 0.341269 \tabularnewline
153 & 14.75 & 16.5233 & -1.77327 \tabularnewline
154 & 18.25 & 16.5233 & 1.72673 \tabularnewline
155 & 9.9 & 16.5233 & -6.62327 \tabularnewline
156 & 16 & 14.0087 & 1.99127 \tabularnewline
157 & 18.25 & 16.5233 & 1.72673 \tabularnewline
158 & 16.85 & 16.5233 & 0.326733 \tabularnewline
159 & 14.6 & 11.4942 & 3.1058 \tabularnewline
160 & 13.85 & 11.4942 & 2.3558 \tabularnewline
161 & 18.95 & 16.5233 & 2.42673 \tabularnewline
162 & 15.6 & 14.0087 & 1.59127 \tabularnewline
163 & 14.85 & 14.0087 & 0.841269 \tabularnewline
164 & 11.75 & 11.4942 & 0.255804 \tabularnewline
165 & 18.45 & 14.0087 & 4.44127 \tabularnewline
166 & 15.9 & 11.4942 & 4.4058 \tabularnewline
167 & 17.1 & 16.5233 & 0.576733 \tabularnewline
168 & 16.1 & 8.97966 & 7.12034 \tabularnewline
169 & 19.9 & 16.5233 & 3.37673 \tabularnewline
170 & 10.95 & 8.97966 & 1.97034 \tabularnewline
171 & 18.45 & 16.5233 & 1.92673 \tabularnewline
172 & 15.1 & 14.0087 & 1.09127 \tabularnewline
173 & 15 & 14.0087 & 0.991269 \tabularnewline
174 & 11.35 & 11.4942 & -0.144196 \tabularnewline
175 & 15.95 & 14.0087 & 1.94127 \tabularnewline
176 & 18.1 & 14.0087 & 4.09127 \tabularnewline
177 & 14.6 & 16.5233 & -1.92327 \tabularnewline
178 & 15.4 & 16.5233 & -1.12327 \tabularnewline
179 & 15.4 & 16.5233 & -1.12327 \tabularnewline
180 & 17.6 & 14.0087 & 3.59127 \tabularnewline
181 & 13.35 & 14.0087 & -0.658731 \tabularnewline
182 & 19.1 & 16.5233 & 2.57673 \tabularnewline
183 & 15.35 & 16.5233 & -1.17327 \tabularnewline
184 & 7.6 & 8.97966 & -1.37966 \tabularnewline
185 & 13.4 & 11.4942 & 1.9058 \tabularnewline
186 & 13.9 & 14.0087 & -0.108731 \tabularnewline
187 & 19.1 & 16.5233 & 2.57673 \tabularnewline
188 & 15.25 & 14.0087 & 1.24127 \tabularnewline
189 & 12.9 & 16.5233 & -3.62327 \tabularnewline
190 & 16.1 & 14.0087 & 2.09127 \tabularnewline
191 & 17.35 & 14.0087 & 3.34127 \tabularnewline
192 & 13.15 & 14.0087 & -0.858731 \tabularnewline
193 & 12.15 & 14.0087 & -1.85873 \tabularnewline
194 & 12.6 & 8.97966 & 3.62034 \tabularnewline
195 & 10.35 & 8.97966 & 1.37034 \tabularnewline
196 & 15.4 & 14.0087 & 1.39127 \tabularnewline
197 & 9.6 & 11.4942 & -1.8942 \tabularnewline
198 & 18.2 & 14.0087 & 4.19127 \tabularnewline
199 & 13.6 & 11.4942 & 2.1058 \tabularnewline
200 & 14.85 & 11.4942 & 3.3558 \tabularnewline
201 & 14.75 & 16.5233 & -1.77327 \tabularnewline
202 & 14.1 & 11.4942 & 2.6058 \tabularnewline
203 & 14.9 & 11.4942 & 3.4058 \tabularnewline
204 & 16.25 & 14.0087 & 2.24127 \tabularnewline
205 & 19.25 & 16.5233 & 2.72673 \tabularnewline
206 & 13.6 & 11.4942 & 2.1058 \tabularnewline
207 & 13.6 & 16.5233 & -2.92327 \tabularnewline
208 & 15.65 & 14.0087 & 1.64127 \tabularnewline
209 & 12.75 & 16.5233 & -3.77327 \tabularnewline
210 & 14.6 & 11.4942 & 3.1058 \tabularnewline
211 & 9.85 & 8.97966 & 0.87034 \tabularnewline
212 & 12.65 & 8.97966 & 3.67034 \tabularnewline
213 & 11.9 & 8.97966 & 2.92034 \tabularnewline
214 & 19.2 & 16.5233 & 2.67673 \tabularnewline
215 & 16.6 & 14.0087 & 2.59127 \tabularnewline
216 & 11.2 & 8.97966 & 2.22034 \tabularnewline
217 & 15.25 & 16.5233 & -1.27327 \tabularnewline
218 & 11.9 & 14.0087 & -2.10873 \tabularnewline
219 & 13.2 & 11.4942 & 1.7058 \tabularnewline
220 & 16.35 & 16.5233 & -0.173267 \tabularnewline
221 & 12.4 & 14.0087 & -1.60873 \tabularnewline
222 & 15.85 & 14.0087 & 1.84127 \tabularnewline
223 & 14.35 & 16.5233 & -2.17327 \tabularnewline
224 & 18.15 & 16.5233 & 1.62673 \tabularnewline
225 & 11.15 & 8.97966 & 2.17034 \tabularnewline
226 & 15.65 & 14.0087 & 1.64127 \tabularnewline
227 & 17.75 & 16.5233 & 1.22673 \tabularnewline
228 & 7.65 & 8.97966 & -1.32966 \tabularnewline
229 & 12.35 & 14.0087 & -1.65873 \tabularnewline
230 & 15.6 & 16.5233 & -0.923267 \tabularnewline
231 & 19.3 & 16.5233 & 2.77673 \tabularnewline
232 & 15.2 & 8.97966 & 6.22034 \tabularnewline
233 & 17.1 & 16.5233 & 0.576733 \tabularnewline
234 & 15.6 & 11.4942 & 4.1058 \tabularnewline
235 & 18.4 & 14.0087 & 4.39127 \tabularnewline
236 & 19.05 & 16.5233 & 2.52673 \tabularnewline
237 & 18.55 & 16.5233 & 2.02673 \tabularnewline
238 & 19.1 & 16.5233 & 2.57673 \tabularnewline
239 & 13.1 & 11.4942 & 1.6058 \tabularnewline
240 & 12.85 & 16.5233 & -3.67327 \tabularnewline
241 & 9.5 & 11.4942 & -1.9942 \tabularnewline
242 & 4.5 & 8.97966 & -4.47966 \tabularnewline
243 & 11.85 & 8.97966 & 2.87034 \tabularnewline
244 & 13.6 & 16.5233 & -2.92327 \tabularnewline
245 & 11.7 & 11.4942 & 0.205804 \tabularnewline
246 & 12.4 & 11.4942 & 0.905804 \tabularnewline
247 & 13.35 & 14.0087 & -0.658731 \tabularnewline
248 & 11.4 & 11.4942 & -0.0941958 \tabularnewline
249 & 14.9 & 14.0087 & 0.891269 \tabularnewline
250 & 19.9 & 16.5233 & 3.37673 \tabularnewline
251 & 17.75 & 16.5233 & 1.22673 \tabularnewline
252 & 11.2 & 11.4942 & -0.294196 \tabularnewline
253 & 14.6 & 14.0087 & 0.591269 \tabularnewline
254 & 17.6 & 16.5233 & 1.07673 \tabularnewline
255 & 14.05 & 14.0087 & 0.0412686 \tabularnewline
256 & 16.1 & 16.5233 & -0.423267 \tabularnewline
257 & 13.35 & 16.5233 & -3.17327 \tabularnewline
258 & 11.85 & 16.5233 & -4.67327 \tabularnewline
259 & 11.95 & 11.4942 & 0.455804 \tabularnewline
260 & 14.75 & 11.4942 & 3.2558 \tabularnewline
261 & 15.15 & 11.4942 & 3.6558 \tabularnewline
262 & 13.2 & 16.5233 & -3.32327 \tabularnewline
263 & 16.85 & 14.0087 & 2.84127 \tabularnewline
264 & 7.85 & 11.4942 & -3.6442 \tabularnewline
265 & 7.7 & 11.4942 & -3.7942 \tabularnewline
266 & 12.6 & 14.0087 & -1.40873 \tabularnewline
267 & 7.85 & 14.0087 & -6.15873 \tabularnewline
268 & 10.95 & 8.97966 & 1.97034 \tabularnewline
269 & 12.35 & 11.4942 & 0.855804 \tabularnewline
270 & 9.95 & 11.4942 & -1.5442 \tabularnewline
271 & 14.9 & 14.0087 & 0.891269 \tabularnewline
272 & 16.65 & 14.0087 & 2.64127 \tabularnewline
273 & 13.4 & 11.4942 & 1.9058 \tabularnewline
274 & 13.95 & 11.4942 & 2.4558 \tabularnewline
275 & 15.7 & 14.0087 & 1.69127 \tabularnewline
276 & 16.85 & 14.0087 & 2.84127 \tabularnewline
277 & 10.95 & 8.97966 & 1.97034 \tabularnewline
278 & 15.35 & 14.0087 & 1.34127 \tabularnewline
279 & 12.2 & 11.4942 & 0.705804 \tabularnewline
280 & 15.1 & 11.4942 & 3.6058 \tabularnewline
281 & 17.75 & 14.0087 & 3.74127 \tabularnewline
282 & 15.2 & 14.0087 & 1.19127 \tabularnewline
283 & 14.6 & 14.0087 & 0.591269 \tabularnewline
284 & 16.65 & 14.0087 & 2.64127 \tabularnewline
285 & 8.1 & 8.97966 & -0.87966 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=269872&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]10.9913[/C][C]1.90871[/C][/ROW]
[ROW][C]2[/C][C]12.2[/C][C]11.7456[/C][C]0.454351[/C][/ROW]
[ROW][C]3[/C][C]12.8[/C][C]11.9971[/C][C]0.802897[/C][/ROW]
[ROW][C]4[/C][C]7.4[/C][C]12.2486[/C][C]-4.84856[/C][/ROW]
[ROW][C]5[/C][C]6.7[/C][C]11.7456[/C][C]-5.04565[/C][/ROW]
[ROW][C]6[/C][C]12.6[/C][C]13.2544[/C][C]-0.654371[/C][/ROW]
[ROW][C]7[/C][C]14.8[/C][C]11.7456[/C][C]3.05435[/C][/ROW]
[ROW][C]8[/C][C]13.3[/C][C]12.5[/C][C]0.79999[/C][/ROW]
[ROW][C]9[/C][C]11.1[/C][C]13.7573[/C][C]-2.65728[/C][/ROW]
[ROW][C]10[/C][C]8.2[/C][C]11.9971[/C][C]-3.7971[/C][/ROW]
[ROW][C]11[/C][C]11.4[/C][C]11.7456[/C][C]-0.345649[/C][/ROW]
[ROW][C]12[/C][C]6.4[/C][C]11.9971[/C][C]-5.5971[/C][/ROW]
[ROW][C]13[/C][C]10.6[/C][C]11.9971[/C][C]-1.3971[/C][/ROW]
[ROW][C]14[/C][C]12[/C][C]13.2544[/C][C]-1.25437[/C][/ROW]
[ROW][C]15[/C][C]6.3[/C][C]11.2427[/C][C]-4.94274[/C][/ROW]
[ROW][C]16[/C][C]11.3[/C][C]11.4942[/C][C]-0.194196[/C][/ROW]
[ROW][C]17[/C][C]11.9[/C][C]12.7515[/C][C]-0.851464[/C][/ROW]
[ROW][C]18[/C][C]9.3[/C][C]11.9971[/C][C]-2.6971[/C][/ROW]
[ROW][C]19[/C][C]9.6[/C][C]12.2486[/C][C]-2.64856[/C][/ROW]
[ROW][C]20[/C][C]10[/C][C]11.2427[/C][C]-1.24274[/C][/ROW]
[ROW][C]21[/C][C]6.4[/C][C]11.7456[/C][C]-5.34565[/C][/ROW]
[ROW][C]22[/C][C]13.8[/C][C]15.266[/C][C]-1.466[/C][/ROW]
[ROW][C]23[/C][C]10.8[/C][C]11.7456[/C][C]-0.945649[/C][/ROW]
[ROW][C]24[/C][C]13.8[/C][C]12.2486[/C][C]1.55144[/C][/ROW]
[ROW][C]25[/C][C]11.7[/C][C]12.2486[/C][C]-0.548556[/C][/ROW]
[ROW][C]26[/C][C]10.9[/C][C]11.9971[/C][C]-1.0971[/C][/ROW]
[ROW][C]27[/C][C]16.1[/C][C]15.266[/C][C]0.834001[/C][/ROW]
[ROW][C]28[/C][C]13.4[/C][C]11.2427[/C][C]2.15726[/C][/ROW]
[ROW][C]29[/C][C]9.9[/C][C]11.2427[/C][C]-1.34274[/C][/ROW]
[ROW][C]30[/C][C]11.5[/C][C]11.2427[/C][C]0.257258[/C][/ROW]
[ROW][C]31[/C][C]8.3[/C][C]11.2427[/C][C]-2.94274[/C][/ROW]
[ROW][C]32[/C][C]11.7[/C][C]11.7456[/C][C]-0.0456494[/C][/ROW]
[ROW][C]33[/C][C]6.1[/C][C]10.4884[/C][C]-4.38838[/C][/ROW]
[ROW][C]34[/C][C]9[/C][C]11.4942[/C][C]-2.4942[/C][/ROW]
[ROW][C]35[/C][C]9.7[/C][C]14.5116[/C][C]-4.81164[/C][/ROW]
[ROW][C]36[/C][C]10.8[/C][C]12.2486[/C][C]-1.44856[/C][/ROW]
[ROW][C]37[/C][C]10.3[/C][C]12.7515[/C][C]-2.45146[/C][/ROW]
[ROW][C]38[/C][C]10.4[/C][C]10.9913[/C][C]-0.591289[/C][/ROW]
[ROW][C]39[/C][C]12.7[/C][C]12.5[/C][C]0.19999[/C][/ROW]
[ROW][C]40[/C][C]9.3[/C][C]13.5058[/C][C]-4.20582[/C][/ROW]
[ROW][C]41[/C][C]11.8[/C][C]12.2486[/C][C]-0.448556[/C][/ROW]
[ROW][C]42[/C][C]5.9[/C][C]11.4942[/C][C]-5.5942[/C][/ROW]
[ROW][C]43[/C][C]11.4[/C][C]12.7515[/C][C]-1.35146[/C][/ROW]
[ROW][C]44[/C][C]13[/C][C]12.2486[/C][C]0.751444[/C][/ROW]
[ROW][C]45[/C][C]10.8[/C][C]10.9913[/C][C]-0.191289[/C][/ROW]
[ROW][C]46[/C][C]12.3[/C][C]11.2427[/C][C]1.05726[/C][/ROW]
[ROW][C]47[/C][C]11.3[/C][C]13.0029[/C][C]-1.70292[/C][/ROW]
[ROW][C]48[/C][C]11.8[/C][C]11.4942[/C][C]0.305804[/C][/ROW]
[ROW][C]49[/C][C]7.9[/C][C]13.0029[/C][C]-5.10292[/C][/ROW]
[ROW][C]50[/C][C]12.7[/C][C]10.4884[/C][C]2.21162[/C][/ROW]
[ROW][C]51[/C][C]12.3[/C][C]11.9971[/C][C]0.302897[/C][/ROW]
[ROW][C]52[/C][C]11.6[/C][C]11.7456[/C][C]-0.145649[/C][/ROW]
[ROW][C]53[/C][C]6.7[/C][C]10.9913[/C][C]-4.29129[/C][/ROW]
[ROW][C]54[/C][C]10.9[/C][C]10.9913[/C][C]-0.0912887[/C][/ROW]
[ROW][C]55[/C][C]12.1[/C][C]11.2427[/C][C]0.857258[/C][/ROW]
[ROW][C]56[/C][C]13.3[/C][C]12.5[/C][C]0.79999[/C][/ROW]
[ROW][C]57[/C][C]10.1[/C][C]11.2427[/C][C]-1.14274[/C][/ROW]
[ROW][C]58[/C][C]5.7[/C][C]11.4942[/C][C]-5.7942[/C][/ROW]
[ROW][C]59[/C][C]14.3[/C][C]11.7456[/C][C]2.55435[/C][/ROW]
[ROW][C]60[/C][C]8[/C][C]10.7398[/C][C]-2.73984[/C][/ROW]
[ROW][C]61[/C][C]13.3[/C][C]11.2427[/C][C]2.05726[/C][/ROW]
[ROW][C]62[/C][C]9.3[/C][C]11.7456[/C][C]-2.44565[/C][/ROW]
[ROW][C]63[/C][C]12.5[/C][C]12.5[/C][C]-1.00632e-05[/C][/ROW]
[ROW][C]64[/C][C]7.6[/C][C]10.9913[/C][C]-3.39129[/C][/ROW]
[ROW][C]65[/C][C]15.9[/C][C]12.2486[/C][C]3.65144[/C][/ROW]
[ROW][C]66[/C][C]9.2[/C][C]11.7456[/C][C]-2.54565[/C][/ROW]
[ROW][C]67[/C][C]9.1[/C][C]11.4942[/C][C]-2.3942[/C][/ROW]
[ROW][C]68[/C][C]11.1[/C][C]13.5058[/C][C]-2.40582[/C][/ROW]
[ROW][C]69[/C][C]13[/C][C]11.4942[/C][C]1.5058[/C][/ROW]
[ROW][C]70[/C][C]14.5[/C][C]13.2544[/C][C]1.24563[/C][/ROW]
[ROW][C]71[/C][C]12.2[/C][C]11.7456[/C][C]0.454351[/C][/ROW]
[ROW][C]72[/C][C]12.3[/C][C]13.7573[/C][C]-1.45728[/C][/ROW]
[ROW][C]73[/C][C]11.4[/C][C]11.4942[/C][C]-0.0941958[/C][/ROW]
[ROW][C]74[/C][C]8.8[/C][C]10.9913[/C][C]-2.19129[/C][/ROW]
[ROW][C]75[/C][C]14.6[/C][C]13.0029[/C][C]1.59708[/C][/ROW]
[ROW][C]76[/C][C]7.3[/C][C]12.7515[/C][C]-5.45146[/C][/ROW]
[ROW][C]77[/C][C]12.6[/C][C]11.7456[/C][C]0.854351[/C][/ROW]
[ROW][C]78[/C][C]13[/C][C]12.2486[/C][C]0.751444[/C][/ROW]
[ROW][C]79[/C][C]12.6[/C][C]11.9971[/C][C]0.602897[/C][/ROW]
[ROW][C]80[/C][C]13.2[/C][C]11.4942[/C][C]1.7058[/C][/ROW]
[ROW][C]81[/C][C]9.9[/C][C]11.9971[/C][C]-2.0971[/C][/ROW]
[ROW][C]82[/C][C]7.7[/C][C]11.7456[/C][C]-4.04565[/C][/ROW]
[ROW][C]83[/C][C]10.5[/C][C]11.7456[/C][C]-1.24565[/C][/ROW]
[ROW][C]84[/C][C]13.4[/C][C]11.2427[/C][C]2.15726[/C][/ROW]
[ROW][C]85[/C][C]10.9[/C][C]11.4942[/C][C]-0.594196[/C][/ROW]
[ROW][C]86[/C][C]4.3[/C][C]10.7398[/C][C]-6.43984[/C][/ROW]
[ROW][C]87[/C][C]10.3[/C][C]11.9971[/C][C]-1.6971[/C][/ROW]
[ROW][C]88[/C][C]11.8[/C][C]11.9971[/C][C]-0.197103[/C][/ROW]
[ROW][C]89[/C][C]11.2[/C][C]12.2486[/C][C]-1.04856[/C][/ROW]
[ROW][C]90[/C][C]11.4[/C][C]12.5[/C][C]-1.10001[/C][/ROW]
[ROW][C]91[/C][C]8.6[/C][C]11.7456[/C][C]-3.14565[/C][/ROW]
[ROW][C]92[/C][C]13.2[/C][C]11.2427[/C][C]1.95726[/C][/ROW]
[ROW][C]93[/C][C]12.6[/C][C]10.7398[/C][C]1.86016[/C][/ROW]
[ROW][C]94[/C][C]5.6[/C][C]10.9913[/C][C]-5.39129[/C][/ROW]
[ROW][C]95[/C][C]9.9[/C][C]10.2369[/C][C]-0.336928[/C][/ROW]
[ROW][C]96[/C][C]8.8[/C][C]11.2427[/C][C]-2.44274[/C][/ROW]
[ROW][C]97[/C][C]7.7[/C][C]11.2427[/C][C]-3.54274[/C][/ROW]
[ROW][C]98[/C][C]9[/C][C]10.7398[/C][C]-1.73984[/C][/ROW]
[ROW][C]99[/C][C]7.3[/C][C]11.2427[/C][C]-3.94274[/C][/ROW]
[ROW][C]100[/C][C]11.4[/C][C]11.2427[/C][C]0.157258[/C][/ROW]
[ROW][C]101[/C][C]13.6[/C][C]10.9913[/C][C]2.60871[/C][/ROW]
[ROW][C]102[/C][C]7.9[/C][C]12.5[/C][C]-4.60001[/C][/ROW]
[ROW][C]103[/C][C]10.7[/C][C]10.9913[/C][C]-0.291289[/C][/ROW]
[ROW][C]104[/C][C]10.3[/C][C]11.2427[/C][C]-0.942742[/C][/ROW]
[ROW][C]105[/C][C]8.3[/C][C]10.9913[/C][C]-2.69129[/C][/ROW]
[ROW][C]106[/C][C]9.6[/C][C]11.7456[/C][C]-2.14565[/C][/ROW]
[ROW][C]107[/C][C]14.2[/C][C]11.2427[/C][C]2.95726[/C][/ROW]
[ROW][C]108[/C][C]8.5[/C][C]11.9971[/C][C]-3.4971[/C][/ROW]
[ROW][C]109[/C][C]13.5[/C][C]11.4942[/C][C]2.0058[/C][/ROW]
[ROW][C]110[/C][C]4.9[/C][C]10.7398[/C][C]-5.83984[/C][/ROW]
[ROW][C]111[/C][C]6.4[/C][C]10.7398[/C][C]-4.33984[/C][/ROW]
[ROW][C]112[/C][C]9.6[/C][C]10.9913[/C][C]-1.39129[/C][/ROW]
[ROW][C]113[/C][C]11.6[/C][C]11.2427[/C][C]0.357258[/C][/ROW]
[ROW][C]114[/C][C]11.1[/C][C]10.9913[/C][C]0.108711[/C][/ROW]
[ROW][C]115[/C][C]4.35[/C][C]8.97966[/C][C]-4.62966[/C][/ROW]
[ROW][C]116[/C][C]12.7[/C][C]8.97966[/C][C]3.72034[/C][/ROW]
[ROW][C]117[/C][C]18.1[/C][C]16.5233[/C][C]1.57673[/C][/ROW]
[ROW][C]118[/C][C]17.85[/C][C]16.5233[/C][C]1.32673[/C][/ROW]
[ROW][C]119[/C][C]16.6[/C][C]14.0087[/C][C]2.59127[/C][/ROW]
[ROW][C]120[/C][C]12.6[/C][C]11.4942[/C][C]1.1058[/C][/ROW]
[ROW][C]121[/C][C]17.1[/C][C]16.5233[/C][C]0.576733[/C][/ROW]
[ROW][C]122[/C][C]19.1[/C][C]16.5233[/C][C]2.57673[/C][/ROW]
[ROW][C]123[/C][C]16.1[/C][C]16.5233[/C][C]-0.423267[/C][/ROW]
[ROW][C]124[/C][C]13.35[/C][C]11.4942[/C][C]1.8558[/C][/ROW]
[ROW][C]125[/C][C]18.4[/C][C]16.5233[/C][C]1.87673[/C][/ROW]
[ROW][C]126[/C][C]14.7[/C][C]8.97966[/C][C]5.72034[/C][/ROW]
[ROW][C]127[/C][C]10.6[/C][C]14.0087[/C][C]-3.40873[/C][/ROW]
[ROW][C]128[/C][C]12.6[/C][C]14.0087[/C][C]-1.40873[/C][/ROW]
[ROW][C]129[/C][C]16.2[/C][C]16.5233[/C][C]-0.323267[/C][/ROW]
[ROW][C]130[/C][C]13.6[/C][C]14.0087[/C][C]-0.408731[/C][/ROW]
[ROW][C]131[/C][C]18.9[/C][C]16.5233[/C][C]2.37673[/C][/ROW]
[ROW][C]132[/C][C]14.1[/C][C]14.0087[/C][C]0.0912686[/C][/ROW]
[ROW][C]133[/C][C]14.5[/C][C]14.0087[/C][C]0.491269[/C][/ROW]
[ROW][C]134[/C][C]16.15[/C][C]16.5233[/C][C]-0.373267[/C][/ROW]
[ROW][C]135[/C][C]14.75[/C][C]14.0087[/C][C]0.741269[/C][/ROW]
[ROW][C]136[/C][C]14.8[/C][C]14.0087[/C][C]0.791269[/C][/ROW]
[ROW][C]137[/C][C]12.45[/C][C]11.4942[/C][C]0.955804[/C][/ROW]
[ROW][C]138[/C][C]12.65[/C][C]11.4942[/C][C]1.1558[/C][/ROW]
[ROW][C]139[/C][C]17.35[/C][C]14.0087[/C][C]3.34127[/C][/ROW]
[ROW][C]140[/C][C]8.6[/C][C]8.97966[/C][C]-0.37966[/C][/ROW]
[ROW][C]141[/C][C]18.4[/C][C]16.5233[/C][C]1.87673[/C][/ROW]
[ROW][C]142[/C][C]16.1[/C][C]14.0087[/C][C]2.09127[/C][/ROW]
[ROW][C]143[/C][C]11.6[/C][C]11.4942[/C][C]0.105804[/C][/ROW]
[ROW][C]144[/C][C]17.75[/C][C]16.5233[/C][C]1.22673[/C][/ROW]
[ROW][C]145[/C][C]15.25[/C][C]16.5233[/C][C]-1.27327[/C][/ROW]
[ROW][C]146[/C][C]17.65[/C][C]16.5233[/C][C]1.12673[/C][/ROW]
[ROW][C]147[/C][C]15.6[/C][C]16.5233[/C][C]-0.923267[/C][/ROW]
[ROW][C]148[/C][C]16.35[/C][C]16.5233[/C][C]-0.173267[/C][/ROW]
[ROW][C]149[/C][C]17.65[/C][C]16.5233[/C][C]1.12673[/C][/ROW]
[ROW][C]150[/C][C]13.6[/C][C]14.0087[/C][C]-0.408731[/C][/ROW]
[ROW][C]151[/C][C]11.7[/C][C]16.5233[/C][C]-4.82327[/C][/ROW]
[ROW][C]152[/C][C]14.35[/C][C]14.0087[/C][C]0.341269[/C][/ROW]
[ROW][C]153[/C][C]14.75[/C][C]16.5233[/C][C]-1.77327[/C][/ROW]
[ROW][C]154[/C][C]18.25[/C][C]16.5233[/C][C]1.72673[/C][/ROW]
[ROW][C]155[/C][C]9.9[/C][C]16.5233[/C][C]-6.62327[/C][/ROW]
[ROW][C]156[/C][C]16[/C][C]14.0087[/C][C]1.99127[/C][/ROW]
[ROW][C]157[/C][C]18.25[/C][C]16.5233[/C][C]1.72673[/C][/ROW]
[ROW][C]158[/C][C]16.85[/C][C]16.5233[/C][C]0.326733[/C][/ROW]
[ROW][C]159[/C][C]14.6[/C][C]11.4942[/C][C]3.1058[/C][/ROW]
[ROW][C]160[/C][C]13.85[/C][C]11.4942[/C][C]2.3558[/C][/ROW]
[ROW][C]161[/C][C]18.95[/C][C]16.5233[/C][C]2.42673[/C][/ROW]
[ROW][C]162[/C][C]15.6[/C][C]14.0087[/C][C]1.59127[/C][/ROW]
[ROW][C]163[/C][C]14.85[/C][C]14.0087[/C][C]0.841269[/C][/ROW]
[ROW][C]164[/C][C]11.75[/C][C]11.4942[/C][C]0.255804[/C][/ROW]
[ROW][C]165[/C][C]18.45[/C][C]14.0087[/C][C]4.44127[/C][/ROW]
[ROW][C]166[/C][C]15.9[/C][C]11.4942[/C][C]4.4058[/C][/ROW]
[ROW][C]167[/C][C]17.1[/C][C]16.5233[/C][C]0.576733[/C][/ROW]
[ROW][C]168[/C][C]16.1[/C][C]8.97966[/C][C]7.12034[/C][/ROW]
[ROW][C]169[/C][C]19.9[/C][C]16.5233[/C][C]3.37673[/C][/ROW]
[ROW][C]170[/C][C]10.95[/C][C]8.97966[/C][C]1.97034[/C][/ROW]
[ROW][C]171[/C][C]18.45[/C][C]16.5233[/C][C]1.92673[/C][/ROW]
[ROW][C]172[/C][C]15.1[/C][C]14.0087[/C][C]1.09127[/C][/ROW]
[ROW][C]173[/C][C]15[/C][C]14.0087[/C][C]0.991269[/C][/ROW]
[ROW][C]174[/C][C]11.35[/C][C]11.4942[/C][C]-0.144196[/C][/ROW]
[ROW][C]175[/C][C]15.95[/C][C]14.0087[/C][C]1.94127[/C][/ROW]
[ROW][C]176[/C][C]18.1[/C][C]14.0087[/C][C]4.09127[/C][/ROW]
[ROW][C]177[/C][C]14.6[/C][C]16.5233[/C][C]-1.92327[/C][/ROW]
[ROW][C]178[/C][C]15.4[/C][C]16.5233[/C][C]-1.12327[/C][/ROW]
[ROW][C]179[/C][C]15.4[/C][C]16.5233[/C][C]-1.12327[/C][/ROW]
[ROW][C]180[/C][C]17.6[/C][C]14.0087[/C][C]3.59127[/C][/ROW]
[ROW][C]181[/C][C]13.35[/C][C]14.0087[/C][C]-0.658731[/C][/ROW]
[ROW][C]182[/C][C]19.1[/C][C]16.5233[/C][C]2.57673[/C][/ROW]
[ROW][C]183[/C][C]15.35[/C][C]16.5233[/C][C]-1.17327[/C][/ROW]
[ROW][C]184[/C][C]7.6[/C][C]8.97966[/C][C]-1.37966[/C][/ROW]
[ROW][C]185[/C][C]13.4[/C][C]11.4942[/C][C]1.9058[/C][/ROW]
[ROW][C]186[/C][C]13.9[/C][C]14.0087[/C][C]-0.108731[/C][/ROW]
[ROW][C]187[/C][C]19.1[/C][C]16.5233[/C][C]2.57673[/C][/ROW]
[ROW][C]188[/C][C]15.25[/C][C]14.0087[/C][C]1.24127[/C][/ROW]
[ROW][C]189[/C][C]12.9[/C][C]16.5233[/C][C]-3.62327[/C][/ROW]
[ROW][C]190[/C][C]16.1[/C][C]14.0087[/C][C]2.09127[/C][/ROW]
[ROW][C]191[/C][C]17.35[/C][C]14.0087[/C][C]3.34127[/C][/ROW]
[ROW][C]192[/C][C]13.15[/C][C]14.0087[/C][C]-0.858731[/C][/ROW]
[ROW][C]193[/C][C]12.15[/C][C]14.0087[/C][C]-1.85873[/C][/ROW]
[ROW][C]194[/C][C]12.6[/C][C]8.97966[/C][C]3.62034[/C][/ROW]
[ROW][C]195[/C][C]10.35[/C][C]8.97966[/C][C]1.37034[/C][/ROW]
[ROW][C]196[/C][C]15.4[/C][C]14.0087[/C][C]1.39127[/C][/ROW]
[ROW][C]197[/C][C]9.6[/C][C]11.4942[/C][C]-1.8942[/C][/ROW]
[ROW][C]198[/C][C]18.2[/C][C]14.0087[/C][C]4.19127[/C][/ROW]
[ROW][C]199[/C][C]13.6[/C][C]11.4942[/C][C]2.1058[/C][/ROW]
[ROW][C]200[/C][C]14.85[/C][C]11.4942[/C][C]3.3558[/C][/ROW]
[ROW][C]201[/C][C]14.75[/C][C]16.5233[/C][C]-1.77327[/C][/ROW]
[ROW][C]202[/C][C]14.1[/C][C]11.4942[/C][C]2.6058[/C][/ROW]
[ROW][C]203[/C][C]14.9[/C][C]11.4942[/C][C]3.4058[/C][/ROW]
[ROW][C]204[/C][C]16.25[/C][C]14.0087[/C][C]2.24127[/C][/ROW]
[ROW][C]205[/C][C]19.25[/C][C]16.5233[/C][C]2.72673[/C][/ROW]
[ROW][C]206[/C][C]13.6[/C][C]11.4942[/C][C]2.1058[/C][/ROW]
[ROW][C]207[/C][C]13.6[/C][C]16.5233[/C][C]-2.92327[/C][/ROW]
[ROW][C]208[/C][C]15.65[/C][C]14.0087[/C][C]1.64127[/C][/ROW]
[ROW][C]209[/C][C]12.75[/C][C]16.5233[/C][C]-3.77327[/C][/ROW]
[ROW][C]210[/C][C]14.6[/C][C]11.4942[/C][C]3.1058[/C][/ROW]
[ROW][C]211[/C][C]9.85[/C][C]8.97966[/C][C]0.87034[/C][/ROW]
[ROW][C]212[/C][C]12.65[/C][C]8.97966[/C][C]3.67034[/C][/ROW]
[ROW][C]213[/C][C]11.9[/C][C]8.97966[/C][C]2.92034[/C][/ROW]
[ROW][C]214[/C][C]19.2[/C][C]16.5233[/C][C]2.67673[/C][/ROW]
[ROW][C]215[/C][C]16.6[/C][C]14.0087[/C][C]2.59127[/C][/ROW]
[ROW][C]216[/C][C]11.2[/C][C]8.97966[/C][C]2.22034[/C][/ROW]
[ROW][C]217[/C][C]15.25[/C][C]16.5233[/C][C]-1.27327[/C][/ROW]
[ROW][C]218[/C][C]11.9[/C][C]14.0087[/C][C]-2.10873[/C][/ROW]
[ROW][C]219[/C][C]13.2[/C][C]11.4942[/C][C]1.7058[/C][/ROW]
[ROW][C]220[/C][C]16.35[/C][C]16.5233[/C][C]-0.173267[/C][/ROW]
[ROW][C]221[/C][C]12.4[/C][C]14.0087[/C][C]-1.60873[/C][/ROW]
[ROW][C]222[/C][C]15.85[/C][C]14.0087[/C][C]1.84127[/C][/ROW]
[ROW][C]223[/C][C]14.35[/C][C]16.5233[/C][C]-2.17327[/C][/ROW]
[ROW][C]224[/C][C]18.15[/C][C]16.5233[/C][C]1.62673[/C][/ROW]
[ROW][C]225[/C][C]11.15[/C][C]8.97966[/C][C]2.17034[/C][/ROW]
[ROW][C]226[/C][C]15.65[/C][C]14.0087[/C][C]1.64127[/C][/ROW]
[ROW][C]227[/C][C]17.75[/C][C]16.5233[/C][C]1.22673[/C][/ROW]
[ROW][C]228[/C][C]7.65[/C][C]8.97966[/C][C]-1.32966[/C][/ROW]
[ROW][C]229[/C][C]12.35[/C][C]14.0087[/C][C]-1.65873[/C][/ROW]
[ROW][C]230[/C][C]15.6[/C][C]16.5233[/C][C]-0.923267[/C][/ROW]
[ROW][C]231[/C][C]19.3[/C][C]16.5233[/C][C]2.77673[/C][/ROW]
[ROW][C]232[/C][C]15.2[/C][C]8.97966[/C][C]6.22034[/C][/ROW]
[ROW][C]233[/C][C]17.1[/C][C]16.5233[/C][C]0.576733[/C][/ROW]
[ROW][C]234[/C][C]15.6[/C][C]11.4942[/C][C]4.1058[/C][/ROW]
[ROW][C]235[/C][C]18.4[/C][C]14.0087[/C][C]4.39127[/C][/ROW]
[ROW][C]236[/C][C]19.05[/C][C]16.5233[/C][C]2.52673[/C][/ROW]
[ROW][C]237[/C][C]18.55[/C][C]16.5233[/C][C]2.02673[/C][/ROW]
[ROW][C]238[/C][C]19.1[/C][C]16.5233[/C][C]2.57673[/C][/ROW]
[ROW][C]239[/C][C]13.1[/C][C]11.4942[/C][C]1.6058[/C][/ROW]
[ROW][C]240[/C][C]12.85[/C][C]16.5233[/C][C]-3.67327[/C][/ROW]
[ROW][C]241[/C][C]9.5[/C][C]11.4942[/C][C]-1.9942[/C][/ROW]
[ROW][C]242[/C][C]4.5[/C][C]8.97966[/C][C]-4.47966[/C][/ROW]
[ROW][C]243[/C][C]11.85[/C][C]8.97966[/C][C]2.87034[/C][/ROW]
[ROW][C]244[/C][C]13.6[/C][C]16.5233[/C][C]-2.92327[/C][/ROW]
[ROW][C]245[/C][C]11.7[/C][C]11.4942[/C][C]0.205804[/C][/ROW]
[ROW][C]246[/C][C]12.4[/C][C]11.4942[/C][C]0.905804[/C][/ROW]
[ROW][C]247[/C][C]13.35[/C][C]14.0087[/C][C]-0.658731[/C][/ROW]
[ROW][C]248[/C][C]11.4[/C][C]11.4942[/C][C]-0.0941958[/C][/ROW]
[ROW][C]249[/C][C]14.9[/C][C]14.0087[/C][C]0.891269[/C][/ROW]
[ROW][C]250[/C][C]19.9[/C][C]16.5233[/C][C]3.37673[/C][/ROW]
[ROW][C]251[/C][C]17.75[/C][C]16.5233[/C][C]1.22673[/C][/ROW]
[ROW][C]252[/C][C]11.2[/C][C]11.4942[/C][C]-0.294196[/C][/ROW]
[ROW][C]253[/C][C]14.6[/C][C]14.0087[/C][C]0.591269[/C][/ROW]
[ROW][C]254[/C][C]17.6[/C][C]16.5233[/C][C]1.07673[/C][/ROW]
[ROW][C]255[/C][C]14.05[/C][C]14.0087[/C][C]0.0412686[/C][/ROW]
[ROW][C]256[/C][C]16.1[/C][C]16.5233[/C][C]-0.423267[/C][/ROW]
[ROW][C]257[/C][C]13.35[/C][C]16.5233[/C][C]-3.17327[/C][/ROW]
[ROW][C]258[/C][C]11.85[/C][C]16.5233[/C][C]-4.67327[/C][/ROW]
[ROW][C]259[/C][C]11.95[/C][C]11.4942[/C][C]0.455804[/C][/ROW]
[ROW][C]260[/C][C]14.75[/C][C]11.4942[/C][C]3.2558[/C][/ROW]
[ROW][C]261[/C][C]15.15[/C][C]11.4942[/C][C]3.6558[/C][/ROW]
[ROW][C]262[/C][C]13.2[/C][C]16.5233[/C][C]-3.32327[/C][/ROW]
[ROW][C]263[/C][C]16.85[/C][C]14.0087[/C][C]2.84127[/C][/ROW]
[ROW][C]264[/C][C]7.85[/C][C]11.4942[/C][C]-3.6442[/C][/ROW]
[ROW][C]265[/C][C]7.7[/C][C]11.4942[/C][C]-3.7942[/C][/ROW]
[ROW][C]266[/C][C]12.6[/C][C]14.0087[/C][C]-1.40873[/C][/ROW]
[ROW][C]267[/C][C]7.85[/C][C]14.0087[/C][C]-6.15873[/C][/ROW]
[ROW][C]268[/C][C]10.95[/C][C]8.97966[/C][C]1.97034[/C][/ROW]
[ROW][C]269[/C][C]12.35[/C][C]11.4942[/C][C]0.855804[/C][/ROW]
[ROW][C]270[/C][C]9.95[/C][C]11.4942[/C][C]-1.5442[/C][/ROW]
[ROW][C]271[/C][C]14.9[/C][C]14.0087[/C][C]0.891269[/C][/ROW]
[ROW][C]272[/C][C]16.65[/C][C]14.0087[/C][C]2.64127[/C][/ROW]
[ROW][C]273[/C][C]13.4[/C][C]11.4942[/C][C]1.9058[/C][/ROW]
[ROW][C]274[/C][C]13.95[/C][C]11.4942[/C][C]2.4558[/C][/ROW]
[ROW][C]275[/C][C]15.7[/C][C]14.0087[/C][C]1.69127[/C][/ROW]
[ROW][C]276[/C][C]16.85[/C][C]14.0087[/C][C]2.84127[/C][/ROW]
[ROW][C]277[/C][C]10.95[/C][C]8.97966[/C][C]1.97034[/C][/ROW]
[ROW][C]278[/C][C]15.35[/C][C]14.0087[/C][C]1.34127[/C][/ROW]
[ROW][C]279[/C][C]12.2[/C][C]11.4942[/C][C]0.705804[/C][/ROW]
[ROW][C]280[/C][C]15.1[/C][C]11.4942[/C][C]3.6058[/C][/ROW]
[ROW][C]281[/C][C]17.75[/C][C]14.0087[/C][C]3.74127[/C][/ROW]
[ROW][C]282[/C][C]15.2[/C][C]14.0087[/C][C]1.19127[/C][/ROW]
[ROW][C]283[/C][C]14.6[/C][C]14.0087[/C][C]0.591269[/C][/ROW]
[ROW][C]284[/C][C]16.65[/C][C]14.0087[/C][C]2.64127[/C][/ROW]
[ROW][C]285[/C][C]8.1[/C][C]8.97966[/C][C]-0.87966[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=269872&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=269872&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
112.910.99131.90871
212.211.74560.454351
312.811.99710.802897
47.412.2486-4.84856
56.711.7456-5.04565
612.613.2544-0.654371
714.811.74563.05435
813.312.50.79999
911.113.7573-2.65728
108.211.9971-3.7971
1111.411.7456-0.345649
126.411.9971-5.5971
1310.611.9971-1.3971
141213.2544-1.25437
156.311.2427-4.94274
1611.311.4942-0.194196
1711.912.7515-0.851464
189.311.9971-2.6971
199.612.2486-2.64856
201011.2427-1.24274
216.411.7456-5.34565
2213.815.266-1.466
2310.811.7456-0.945649
2413.812.24861.55144
2511.712.2486-0.548556
2610.911.9971-1.0971
2716.115.2660.834001
2813.411.24272.15726
299.911.2427-1.34274
3011.511.24270.257258
318.311.2427-2.94274
3211.711.7456-0.0456494
336.110.4884-4.38838
34911.4942-2.4942
359.714.5116-4.81164
3610.812.2486-1.44856
3710.312.7515-2.45146
3810.410.9913-0.591289
3912.712.50.19999
409.313.5058-4.20582
4111.812.2486-0.448556
425.911.4942-5.5942
4311.412.7515-1.35146
441312.24860.751444
4510.810.9913-0.191289
4612.311.24271.05726
4711.313.0029-1.70292
4811.811.49420.305804
497.913.0029-5.10292
5012.710.48842.21162
5112.311.99710.302897
5211.611.7456-0.145649
536.710.9913-4.29129
5410.910.9913-0.0912887
5512.111.24270.857258
5613.312.50.79999
5710.111.2427-1.14274
585.711.4942-5.7942
5914.311.74562.55435
60810.7398-2.73984
6113.311.24272.05726
629.311.7456-2.44565
6312.512.5-1.00632e-05
647.610.9913-3.39129
6515.912.24863.65144
669.211.7456-2.54565
679.111.4942-2.3942
6811.113.5058-2.40582
691311.49421.5058
7014.513.25441.24563
7112.211.74560.454351
7212.313.7573-1.45728
7311.411.4942-0.0941958
748.810.9913-2.19129
7514.613.00291.59708
767.312.7515-5.45146
7712.611.74560.854351
781312.24860.751444
7912.611.99710.602897
8013.211.49421.7058
819.911.9971-2.0971
827.711.7456-4.04565
8310.511.7456-1.24565
8413.411.24272.15726
8510.911.4942-0.594196
864.310.7398-6.43984
8710.311.9971-1.6971
8811.811.9971-0.197103
8911.212.2486-1.04856
9011.412.5-1.10001
918.611.7456-3.14565
9213.211.24271.95726
9312.610.73981.86016
945.610.9913-5.39129
959.910.2369-0.336928
968.811.2427-2.44274
977.711.2427-3.54274
98910.7398-1.73984
997.311.2427-3.94274
10011.411.24270.157258
10113.610.99132.60871
1027.912.5-4.60001
10310.710.9913-0.291289
10410.311.2427-0.942742
1058.310.9913-2.69129
1069.611.7456-2.14565
10714.211.24272.95726
1088.511.9971-3.4971
10913.511.49422.0058
1104.910.7398-5.83984
1116.410.7398-4.33984
1129.610.9913-1.39129
11311.611.24270.357258
11411.110.99130.108711
1154.358.97966-4.62966
11612.78.979663.72034
11718.116.52331.57673
11817.8516.52331.32673
11916.614.00872.59127
12012.611.49421.1058
12117.116.52330.576733
12219.116.52332.57673
12316.116.5233-0.423267
12413.3511.49421.8558
12518.416.52331.87673
12614.78.979665.72034
12710.614.0087-3.40873
12812.614.0087-1.40873
12916.216.5233-0.323267
13013.614.0087-0.408731
13118.916.52332.37673
13214.114.00870.0912686
13314.514.00870.491269
13416.1516.5233-0.373267
13514.7514.00870.741269
13614.814.00870.791269
13712.4511.49420.955804
13812.6511.49421.1558
13917.3514.00873.34127
1408.68.97966-0.37966
14118.416.52331.87673
14216.114.00872.09127
14311.611.49420.105804
14417.7516.52331.22673
14515.2516.5233-1.27327
14617.6516.52331.12673
14715.616.5233-0.923267
14816.3516.5233-0.173267
14917.6516.52331.12673
15013.614.0087-0.408731
15111.716.5233-4.82327
15214.3514.00870.341269
15314.7516.5233-1.77327
15418.2516.52331.72673
1559.916.5233-6.62327
1561614.00871.99127
15718.2516.52331.72673
15816.8516.52330.326733
15914.611.49423.1058
16013.8511.49422.3558
16118.9516.52332.42673
16215.614.00871.59127
16314.8514.00870.841269
16411.7511.49420.255804
16518.4514.00874.44127
16615.911.49424.4058
16717.116.52330.576733
16816.18.979667.12034
16919.916.52333.37673
17010.958.979661.97034
17118.4516.52331.92673
17215.114.00871.09127
1731514.00870.991269
17411.3511.4942-0.144196
17515.9514.00871.94127
17618.114.00874.09127
17714.616.5233-1.92327
17815.416.5233-1.12327
17915.416.5233-1.12327
18017.614.00873.59127
18113.3514.0087-0.658731
18219.116.52332.57673
18315.3516.5233-1.17327
1847.68.97966-1.37966
18513.411.49421.9058
18613.914.0087-0.108731
18719.116.52332.57673
18815.2514.00871.24127
18912.916.5233-3.62327
19016.114.00872.09127
19117.3514.00873.34127
19213.1514.0087-0.858731
19312.1514.0087-1.85873
19412.68.979663.62034
19510.358.979661.37034
19615.414.00871.39127
1979.611.4942-1.8942
19818.214.00874.19127
19913.611.49422.1058
20014.8511.49423.3558
20114.7516.5233-1.77327
20214.111.49422.6058
20314.911.49423.4058
20416.2514.00872.24127
20519.2516.52332.72673
20613.611.49422.1058
20713.616.5233-2.92327
20815.6514.00871.64127
20912.7516.5233-3.77327
21014.611.49423.1058
2119.858.979660.87034
21212.658.979663.67034
21311.98.979662.92034
21419.216.52332.67673
21516.614.00872.59127
21611.28.979662.22034
21715.2516.5233-1.27327
21811.914.0087-2.10873
21913.211.49421.7058
22016.3516.5233-0.173267
22112.414.0087-1.60873
22215.8514.00871.84127
22314.3516.5233-2.17327
22418.1516.52331.62673
22511.158.979662.17034
22615.6514.00871.64127
22717.7516.52331.22673
2287.658.97966-1.32966
22912.3514.0087-1.65873
23015.616.5233-0.923267
23119.316.52332.77673
23215.28.979666.22034
23317.116.52330.576733
23415.611.49424.1058
23518.414.00874.39127
23619.0516.52332.52673
23718.5516.52332.02673
23819.116.52332.57673
23913.111.49421.6058
24012.8516.5233-3.67327
2419.511.4942-1.9942
2424.58.97966-4.47966
24311.858.979662.87034
24413.616.5233-2.92327
24511.711.49420.205804
24612.411.49420.905804
24713.3514.0087-0.658731
24811.411.4942-0.0941958
24914.914.00870.891269
25019.916.52333.37673
25117.7516.52331.22673
25211.211.4942-0.294196
25314.614.00870.591269
25417.616.52331.07673
25514.0514.00870.0412686
25616.116.5233-0.423267
25713.3516.5233-3.17327
25811.8516.5233-4.67327
25911.9511.49420.455804
26014.7511.49423.2558
26115.1511.49423.6558
26213.216.5233-3.32327
26316.8514.00872.84127
2647.8511.4942-3.6442
2657.711.4942-3.7942
26612.614.0087-1.40873
2677.8514.0087-6.15873
26810.958.979661.97034
26912.3511.49420.855804
2709.9511.4942-1.5442
27114.914.00870.891269
27216.6514.00872.64127
27313.411.49421.9058
27413.9511.49422.4558
27515.714.00871.69127
27616.8514.00872.84127
27710.958.979661.97034
27815.3514.00871.34127
27912.211.49420.705804
28015.111.49423.6058
28117.7514.00873.74127
28215.214.00871.19127
28314.614.00870.591269
28416.6514.00872.64127
2858.18.97966-0.87966






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
50.7840470.4319060.215953
60.8282040.3435920.171796
70.8676910.2646180.132309
80.8262950.347410.173705
90.7498390.5003220.250161
100.7750190.4499620.224981
110.6953940.6092110.304606
120.8255820.3488360.174418
130.7650960.4698080.234904
140.7050810.5898390.294919
150.7831450.4337090.216855
160.7326450.534710.267355
170.6732050.653590.326795
180.6239920.7520160.376008
190.5701130.8597740.429887
200.5010180.9979630.498982
210.5922460.8155090.407754
220.5304180.9391630.469582
230.4707940.9415880.529206
240.5023390.9953210.497661
250.4486430.8972870.551357
260.3903510.7807010.609649
270.3676820.7353630.632318
280.4266970.8533940.573303
290.3715050.7430090.628495
300.3370130.6740250.662987
310.3131370.6262730.686863
320.2758170.5516350.724183
330.3034260.6068520.696574
340.269270.538540.73073
350.3340080.6680170.665992
360.2891010.5782010.710899
370.256710.513420.74329
380.2212480.4424950.778752
390.199890.3997790.80011
400.2160880.4321760.783912
410.1868420.3736840.813158
420.273290.5465810.72671
430.2363240.4726490.763676
440.2289520.4579040.771048
450.2020350.4040710.797965
460.1987940.3975890.801206
470.170010.340020.82999
480.1528980.3057950.847102
490.199950.39990.80005
500.2208070.4416150.779193
510.2009480.4018960.799052
520.1758430.3516860.824157
530.2102380.4204750.789762
540.184060.3681210.81594
550.171860.343720.82814
560.1647150.3294310.835285
570.1405980.2811960.859402
580.2320620.4641250.767938
590.272630.5452610.72737
600.2633950.526790.736605
610.2798510.5597020.720149
620.2615380.5230760.738462
630.2375880.4751760.762412
640.2456770.4913530.754323
650.3400010.6800030.659999
660.3236280.6472570.676372
670.3054550.6109090.694545
680.2836890.5673790.716311
690.283070.5661410.71693
700.2827730.5655450.717227
710.260920.521840.73908
720.2334440.4668890.766556
730.2083610.4167220.791639
740.1939080.3878160.806092
750.1984010.3968020.801599
760.2783260.5566530.721674
770.2628950.5257890.737105
780.2471650.4943290.752835
790.2289660.4579320.771034
800.2290390.4580780.770961
810.2126270.4252550.787373
820.2424660.4849320.757534
830.218130.436260.78187
840.2278240.4556480.772176
850.2027590.4055180.797241
860.3621980.7243970.637802
870.338150.6762990.66185
880.309880.619760.69012
890.2825170.5650340.717483
900.2566090.5132180.743391
910.2637770.5275540.736223
920.2694060.5388110.730594
930.2692220.5384450.730778
940.3774740.7549480.622526
950.3480860.6961710.651914
960.3421140.6842290.657886
970.369010.7380190.63099
980.3515780.7031570.648422
990.396060.7921210.60394
1000.3704160.7408320.629584
1010.3954470.7908950.604553
1020.4667020.9334050.533298
1030.4381460.8762920.561854
1040.4122660.8245330.587734
1050.4198830.8397660.580117
1060.4113850.8227690.588615
1070.448590.897180.55141
1080.4806760.9613530.519324
1090.4853750.9707510.514625
1100.6564950.687010.343505
1110.7322730.5354550.267727
1120.7201660.5596690.279834
1130.7002440.5995120.299756
1140.6787550.642490.321245
1150.7834720.4330570.216528
1160.8212710.3574570.178729
1170.8238730.3522530.176127
1180.8162940.3674110.183706
1190.8277870.3444270.172213
1200.8169150.3661710.183085
1210.7965880.4068240.203412
1220.803690.3926190.19631
1230.7799920.4400160.220008
1240.7772160.4455690.222784
1250.7676540.4646930.232346
1260.8780050.243990.121995
1270.8962310.2075380.103769
1280.8873930.2252130.112607
1290.8706550.2586890.129345
1300.854350.2913010.14565
1310.8562130.2875750.143787
1320.8378230.3243550.162177
1330.8186510.3626970.181349
1340.7960550.4078890.203945
1350.7752250.4495510.224775
1360.753410.493180.24659
1370.7358950.5282110.264105
1380.7192880.5614240.280712
1390.7441190.5117610.255881
1400.7335090.5329830.266491
1410.7218940.5562120.278106
1420.7134580.5730830.286542
1430.6912880.6174250.308712
1440.6677410.6645180.332259
1450.6469820.7060350.353018
1460.6211310.7577380.378869
1470.5945230.8109530.405477
1480.5617930.8764150.438207
1490.5346690.9306630.465331
1500.5047960.9904090.495204
1510.6117110.7765780.388289
1520.5812050.8375890.418795
1530.567430.8651390.43257
1540.5504850.899030.449515
1550.7609230.4781550.239077
1560.7512140.4975720.248786
1570.7375180.5249650.262482
1580.7094890.5810230.290511
1590.723710.5525790.27629
1600.7196890.5606220.280311
1610.7188330.5623350.281167
1620.7003160.5993680.299684
1630.6734970.6530060.326503
1640.6487820.7024350.351218
1650.7114480.5771030.288552
1660.7627310.4745370.237269
1670.7364310.5271390.263569
1680.8807960.2384080.119204
1690.8949050.2101910.105095
1700.8874750.2250490.112525
1710.8806040.2387920.119396
1720.8649750.2700490.135025
1730.8474220.3051560.152578
1740.8305660.3388680.169434
1750.8187980.3624050.181202
1760.8499720.3000570.150028
1770.8427380.3145240.157262
1780.8259470.3481070.174053
1790.8080890.3838210.191911
1800.8272120.3455770.172788
1810.8081470.3837060.191853
1820.8095970.3808060.190403
1830.7909480.4181040.209052
1840.7945760.4108490.205424
1850.7787110.4425780.221289
1860.7528570.4942860.247143
1870.7553850.489230.244615
1880.7310510.5378980.268949
1890.7660940.4678120.233906
1900.7528220.4943550.247178
1910.767410.465180.23259
1920.7463540.5072920.253646
1930.7416660.5166670.258334
1940.7529350.4941310.247065
1950.7304850.539030.269515
1960.7054340.5891320.294566
1970.7121340.5757310.287866
1980.7552880.4894230.244712
1990.7375450.524910.262455
2000.7444190.5111620.255581
2010.7299290.5401410.270071
2020.7193710.5612590.280629
2030.7276960.5446070.272304
2040.7146880.5706240.285312
2050.721540.556920.27846
2060.7017040.5965910.298296
2070.7137170.5725670.286283
2080.6897670.6204650.310233
2090.7340440.5319120.265956
2100.734090.5318190.26591
2110.7049520.5900960.295048
2120.7138970.5722060.286103
2130.7044830.5910340.295517
2140.7073370.5853260.292663
2150.7013760.5972490.298624
2160.6783440.6433120.321656
2170.6515510.6968980.348449
2180.6496090.7007820.350391
2190.6197380.7605240.380262
2200.5808480.8383040.419152
2210.5653530.8692940.434647
2220.5387330.9225350.461267
2230.5316640.9366730.468336
2240.5041190.9917620.495881
2250.4757290.9514580.524271
2260.444760.889520.55524
2270.4111820.8223650.588818
2280.4033090.8066170.596691
2290.3882690.7765390.611731
2300.3542420.7084830.645758
2310.3578890.7157770.642111
2320.4991050.998210.500895
2330.456540.9130810.54346
2340.4993870.9987740.500613
2350.5710230.8579540.428977
2360.5712260.8575470.428774
2370.5589210.8821590.441079
2380.5709760.8580480.429024
2390.5349570.9300860.465043
2400.570820.858360.42918
2410.5673870.8652260.432613
2420.7393490.5213020.260651
2430.7174850.5650290.282515
2440.7240430.5519140.275957
2450.6828260.6343470.317174
2460.6373630.7252740.362637
2470.5955260.8089490.404474
2480.5511030.8977940.448897
2490.5021380.9957240.497862
2500.5575980.8848040.442402
2510.5299290.9401420.470071
2520.4867960.9735920.513204
2530.4345410.8690830.565459
2540.4076810.8153630.592319
2550.3544250.7088510.645575
2560.3056220.6112430.694378
2570.2980850.596170.701915
2580.3989540.7979070.601046
2590.3442320.6884640.655768
2600.338440.676880.66156
2610.355890.7117790.64411
2620.4341680.8683360.565832
2630.4119330.8238660.588067
2640.528180.9436390.47182
2650.6959640.6080730.304036
2660.6952810.6094390.304719
2670.9975270.004945220.00247261
2680.996350.007299080.00364954
2690.9931780.01364410.00682203
2700.998060.003880560.00194028
2710.9971720.005655510.00282775
2720.9942020.01159580.00579791
2730.9880240.02395210.0119761
2740.9795840.04083240.0204162
2750.9608740.07825290.0391264
2760.9323240.1353520.0676759
2770.9072290.1855430.0927713
2780.8458310.3083380.154169
2790.7387780.5224430.261222
2800.8205020.3589960.179498

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
5 & 0.784047 & 0.431906 & 0.215953 \tabularnewline
6 & 0.828204 & 0.343592 & 0.171796 \tabularnewline
7 & 0.867691 & 0.264618 & 0.132309 \tabularnewline
8 & 0.826295 & 0.34741 & 0.173705 \tabularnewline
9 & 0.749839 & 0.500322 & 0.250161 \tabularnewline
10 & 0.775019 & 0.449962 & 0.224981 \tabularnewline
11 & 0.695394 & 0.609211 & 0.304606 \tabularnewline
12 & 0.825582 & 0.348836 & 0.174418 \tabularnewline
13 & 0.765096 & 0.469808 & 0.234904 \tabularnewline
14 & 0.705081 & 0.589839 & 0.294919 \tabularnewline
15 & 0.783145 & 0.433709 & 0.216855 \tabularnewline
16 & 0.732645 & 0.53471 & 0.267355 \tabularnewline
17 & 0.673205 & 0.65359 & 0.326795 \tabularnewline
18 & 0.623992 & 0.752016 & 0.376008 \tabularnewline
19 & 0.570113 & 0.859774 & 0.429887 \tabularnewline
20 & 0.501018 & 0.997963 & 0.498982 \tabularnewline
21 & 0.592246 & 0.815509 & 0.407754 \tabularnewline
22 & 0.530418 & 0.939163 & 0.469582 \tabularnewline
23 & 0.470794 & 0.941588 & 0.529206 \tabularnewline
24 & 0.502339 & 0.995321 & 0.497661 \tabularnewline
25 & 0.448643 & 0.897287 & 0.551357 \tabularnewline
26 & 0.390351 & 0.780701 & 0.609649 \tabularnewline
27 & 0.367682 & 0.735363 & 0.632318 \tabularnewline
28 & 0.426697 & 0.853394 & 0.573303 \tabularnewline
29 & 0.371505 & 0.743009 & 0.628495 \tabularnewline
30 & 0.337013 & 0.674025 & 0.662987 \tabularnewline
31 & 0.313137 & 0.626273 & 0.686863 \tabularnewline
32 & 0.275817 & 0.551635 & 0.724183 \tabularnewline
33 & 0.303426 & 0.606852 & 0.696574 \tabularnewline
34 & 0.26927 & 0.53854 & 0.73073 \tabularnewline
35 & 0.334008 & 0.668017 & 0.665992 \tabularnewline
36 & 0.289101 & 0.578201 & 0.710899 \tabularnewline
37 & 0.25671 & 0.51342 & 0.74329 \tabularnewline
38 & 0.221248 & 0.442495 & 0.778752 \tabularnewline
39 & 0.19989 & 0.399779 & 0.80011 \tabularnewline
40 & 0.216088 & 0.432176 & 0.783912 \tabularnewline
41 & 0.186842 & 0.373684 & 0.813158 \tabularnewline
42 & 0.27329 & 0.546581 & 0.72671 \tabularnewline
43 & 0.236324 & 0.472649 & 0.763676 \tabularnewline
44 & 0.228952 & 0.457904 & 0.771048 \tabularnewline
45 & 0.202035 & 0.404071 & 0.797965 \tabularnewline
46 & 0.198794 & 0.397589 & 0.801206 \tabularnewline
47 & 0.17001 & 0.34002 & 0.82999 \tabularnewline
48 & 0.152898 & 0.305795 & 0.847102 \tabularnewline
49 & 0.19995 & 0.3999 & 0.80005 \tabularnewline
50 & 0.220807 & 0.441615 & 0.779193 \tabularnewline
51 & 0.200948 & 0.401896 & 0.799052 \tabularnewline
52 & 0.175843 & 0.351686 & 0.824157 \tabularnewline
53 & 0.210238 & 0.420475 & 0.789762 \tabularnewline
54 & 0.18406 & 0.368121 & 0.81594 \tabularnewline
55 & 0.17186 & 0.34372 & 0.82814 \tabularnewline
56 & 0.164715 & 0.329431 & 0.835285 \tabularnewline
57 & 0.140598 & 0.281196 & 0.859402 \tabularnewline
58 & 0.232062 & 0.464125 & 0.767938 \tabularnewline
59 & 0.27263 & 0.545261 & 0.72737 \tabularnewline
60 & 0.263395 & 0.52679 & 0.736605 \tabularnewline
61 & 0.279851 & 0.559702 & 0.720149 \tabularnewline
62 & 0.261538 & 0.523076 & 0.738462 \tabularnewline
63 & 0.237588 & 0.475176 & 0.762412 \tabularnewline
64 & 0.245677 & 0.491353 & 0.754323 \tabularnewline
65 & 0.340001 & 0.680003 & 0.659999 \tabularnewline
66 & 0.323628 & 0.647257 & 0.676372 \tabularnewline
67 & 0.305455 & 0.610909 & 0.694545 \tabularnewline
68 & 0.283689 & 0.567379 & 0.716311 \tabularnewline
69 & 0.28307 & 0.566141 & 0.71693 \tabularnewline
70 & 0.282773 & 0.565545 & 0.717227 \tabularnewline
71 & 0.26092 & 0.52184 & 0.73908 \tabularnewline
72 & 0.233444 & 0.466889 & 0.766556 \tabularnewline
73 & 0.208361 & 0.416722 & 0.791639 \tabularnewline
74 & 0.193908 & 0.387816 & 0.806092 \tabularnewline
75 & 0.198401 & 0.396802 & 0.801599 \tabularnewline
76 & 0.278326 & 0.556653 & 0.721674 \tabularnewline
77 & 0.262895 & 0.525789 & 0.737105 \tabularnewline
78 & 0.247165 & 0.494329 & 0.752835 \tabularnewline
79 & 0.228966 & 0.457932 & 0.771034 \tabularnewline
80 & 0.229039 & 0.458078 & 0.770961 \tabularnewline
81 & 0.212627 & 0.425255 & 0.787373 \tabularnewline
82 & 0.242466 & 0.484932 & 0.757534 \tabularnewline
83 & 0.21813 & 0.43626 & 0.78187 \tabularnewline
84 & 0.227824 & 0.455648 & 0.772176 \tabularnewline
85 & 0.202759 & 0.405518 & 0.797241 \tabularnewline
86 & 0.362198 & 0.724397 & 0.637802 \tabularnewline
87 & 0.33815 & 0.676299 & 0.66185 \tabularnewline
88 & 0.30988 & 0.61976 & 0.69012 \tabularnewline
89 & 0.282517 & 0.565034 & 0.717483 \tabularnewline
90 & 0.256609 & 0.513218 & 0.743391 \tabularnewline
91 & 0.263777 & 0.527554 & 0.736223 \tabularnewline
92 & 0.269406 & 0.538811 & 0.730594 \tabularnewline
93 & 0.269222 & 0.538445 & 0.730778 \tabularnewline
94 & 0.377474 & 0.754948 & 0.622526 \tabularnewline
95 & 0.348086 & 0.696171 & 0.651914 \tabularnewline
96 & 0.342114 & 0.684229 & 0.657886 \tabularnewline
97 & 0.36901 & 0.738019 & 0.63099 \tabularnewline
98 & 0.351578 & 0.703157 & 0.648422 \tabularnewline
99 & 0.39606 & 0.792121 & 0.60394 \tabularnewline
100 & 0.370416 & 0.740832 & 0.629584 \tabularnewline
101 & 0.395447 & 0.790895 & 0.604553 \tabularnewline
102 & 0.466702 & 0.933405 & 0.533298 \tabularnewline
103 & 0.438146 & 0.876292 & 0.561854 \tabularnewline
104 & 0.412266 & 0.824533 & 0.587734 \tabularnewline
105 & 0.419883 & 0.839766 & 0.580117 \tabularnewline
106 & 0.411385 & 0.822769 & 0.588615 \tabularnewline
107 & 0.44859 & 0.89718 & 0.55141 \tabularnewline
108 & 0.480676 & 0.961353 & 0.519324 \tabularnewline
109 & 0.485375 & 0.970751 & 0.514625 \tabularnewline
110 & 0.656495 & 0.68701 & 0.343505 \tabularnewline
111 & 0.732273 & 0.535455 & 0.267727 \tabularnewline
112 & 0.720166 & 0.559669 & 0.279834 \tabularnewline
113 & 0.700244 & 0.599512 & 0.299756 \tabularnewline
114 & 0.678755 & 0.64249 & 0.321245 \tabularnewline
115 & 0.783472 & 0.433057 & 0.216528 \tabularnewline
116 & 0.821271 & 0.357457 & 0.178729 \tabularnewline
117 & 0.823873 & 0.352253 & 0.176127 \tabularnewline
118 & 0.816294 & 0.367411 & 0.183706 \tabularnewline
119 & 0.827787 & 0.344427 & 0.172213 \tabularnewline
120 & 0.816915 & 0.366171 & 0.183085 \tabularnewline
121 & 0.796588 & 0.406824 & 0.203412 \tabularnewline
122 & 0.80369 & 0.392619 & 0.19631 \tabularnewline
123 & 0.779992 & 0.440016 & 0.220008 \tabularnewline
124 & 0.777216 & 0.445569 & 0.222784 \tabularnewline
125 & 0.767654 & 0.464693 & 0.232346 \tabularnewline
126 & 0.878005 & 0.24399 & 0.121995 \tabularnewline
127 & 0.896231 & 0.207538 & 0.103769 \tabularnewline
128 & 0.887393 & 0.225213 & 0.112607 \tabularnewline
129 & 0.870655 & 0.258689 & 0.129345 \tabularnewline
130 & 0.85435 & 0.291301 & 0.14565 \tabularnewline
131 & 0.856213 & 0.287575 & 0.143787 \tabularnewline
132 & 0.837823 & 0.324355 & 0.162177 \tabularnewline
133 & 0.818651 & 0.362697 & 0.181349 \tabularnewline
134 & 0.796055 & 0.407889 & 0.203945 \tabularnewline
135 & 0.775225 & 0.449551 & 0.224775 \tabularnewline
136 & 0.75341 & 0.49318 & 0.24659 \tabularnewline
137 & 0.735895 & 0.528211 & 0.264105 \tabularnewline
138 & 0.719288 & 0.561424 & 0.280712 \tabularnewline
139 & 0.744119 & 0.511761 & 0.255881 \tabularnewline
140 & 0.733509 & 0.532983 & 0.266491 \tabularnewline
141 & 0.721894 & 0.556212 & 0.278106 \tabularnewline
142 & 0.713458 & 0.573083 & 0.286542 \tabularnewline
143 & 0.691288 & 0.617425 & 0.308712 \tabularnewline
144 & 0.667741 & 0.664518 & 0.332259 \tabularnewline
145 & 0.646982 & 0.706035 & 0.353018 \tabularnewline
146 & 0.621131 & 0.757738 & 0.378869 \tabularnewline
147 & 0.594523 & 0.810953 & 0.405477 \tabularnewline
148 & 0.561793 & 0.876415 & 0.438207 \tabularnewline
149 & 0.534669 & 0.930663 & 0.465331 \tabularnewline
150 & 0.504796 & 0.990409 & 0.495204 \tabularnewline
151 & 0.611711 & 0.776578 & 0.388289 \tabularnewline
152 & 0.581205 & 0.837589 & 0.418795 \tabularnewline
153 & 0.56743 & 0.865139 & 0.43257 \tabularnewline
154 & 0.550485 & 0.89903 & 0.449515 \tabularnewline
155 & 0.760923 & 0.478155 & 0.239077 \tabularnewline
156 & 0.751214 & 0.497572 & 0.248786 \tabularnewline
157 & 0.737518 & 0.524965 & 0.262482 \tabularnewline
158 & 0.709489 & 0.581023 & 0.290511 \tabularnewline
159 & 0.72371 & 0.552579 & 0.27629 \tabularnewline
160 & 0.719689 & 0.560622 & 0.280311 \tabularnewline
161 & 0.718833 & 0.562335 & 0.281167 \tabularnewline
162 & 0.700316 & 0.599368 & 0.299684 \tabularnewline
163 & 0.673497 & 0.653006 & 0.326503 \tabularnewline
164 & 0.648782 & 0.702435 & 0.351218 \tabularnewline
165 & 0.711448 & 0.577103 & 0.288552 \tabularnewline
166 & 0.762731 & 0.474537 & 0.237269 \tabularnewline
167 & 0.736431 & 0.527139 & 0.263569 \tabularnewline
168 & 0.880796 & 0.238408 & 0.119204 \tabularnewline
169 & 0.894905 & 0.210191 & 0.105095 \tabularnewline
170 & 0.887475 & 0.225049 & 0.112525 \tabularnewline
171 & 0.880604 & 0.238792 & 0.119396 \tabularnewline
172 & 0.864975 & 0.270049 & 0.135025 \tabularnewline
173 & 0.847422 & 0.305156 & 0.152578 \tabularnewline
174 & 0.830566 & 0.338868 & 0.169434 \tabularnewline
175 & 0.818798 & 0.362405 & 0.181202 \tabularnewline
176 & 0.849972 & 0.300057 & 0.150028 \tabularnewline
177 & 0.842738 & 0.314524 & 0.157262 \tabularnewline
178 & 0.825947 & 0.348107 & 0.174053 \tabularnewline
179 & 0.808089 & 0.383821 & 0.191911 \tabularnewline
180 & 0.827212 & 0.345577 & 0.172788 \tabularnewline
181 & 0.808147 & 0.383706 & 0.191853 \tabularnewline
182 & 0.809597 & 0.380806 & 0.190403 \tabularnewline
183 & 0.790948 & 0.418104 & 0.209052 \tabularnewline
184 & 0.794576 & 0.410849 & 0.205424 \tabularnewline
185 & 0.778711 & 0.442578 & 0.221289 \tabularnewline
186 & 0.752857 & 0.494286 & 0.247143 \tabularnewline
187 & 0.755385 & 0.48923 & 0.244615 \tabularnewline
188 & 0.731051 & 0.537898 & 0.268949 \tabularnewline
189 & 0.766094 & 0.467812 & 0.233906 \tabularnewline
190 & 0.752822 & 0.494355 & 0.247178 \tabularnewline
191 & 0.76741 & 0.46518 & 0.23259 \tabularnewline
192 & 0.746354 & 0.507292 & 0.253646 \tabularnewline
193 & 0.741666 & 0.516667 & 0.258334 \tabularnewline
194 & 0.752935 & 0.494131 & 0.247065 \tabularnewline
195 & 0.730485 & 0.53903 & 0.269515 \tabularnewline
196 & 0.705434 & 0.589132 & 0.294566 \tabularnewline
197 & 0.712134 & 0.575731 & 0.287866 \tabularnewline
198 & 0.755288 & 0.489423 & 0.244712 \tabularnewline
199 & 0.737545 & 0.52491 & 0.262455 \tabularnewline
200 & 0.744419 & 0.511162 & 0.255581 \tabularnewline
201 & 0.729929 & 0.540141 & 0.270071 \tabularnewline
202 & 0.719371 & 0.561259 & 0.280629 \tabularnewline
203 & 0.727696 & 0.544607 & 0.272304 \tabularnewline
204 & 0.714688 & 0.570624 & 0.285312 \tabularnewline
205 & 0.72154 & 0.55692 & 0.27846 \tabularnewline
206 & 0.701704 & 0.596591 & 0.298296 \tabularnewline
207 & 0.713717 & 0.572567 & 0.286283 \tabularnewline
208 & 0.689767 & 0.620465 & 0.310233 \tabularnewline
209 & 0.734044 & 0.531912 & 0.265956 \tabularnewline
210 & 0.73409 & 0.531819 & 0.26591 \tabularnewline
211 & 0.704952 & 0.590096 & 0.295048 \tabularnewline
212 & 0.713897 & 0.572206 & 0.286103 \tabularnewline
213 & 0.704483 & 0.591034 & 0.295517 \tabularnewline
214 & 0.707337 & 0.585326 & 0.292663 \tabularnewline
215 & 0.701376 & 0.597249 & 0.298624 \tabularnewline
216 & 0.678344 & 0.643312 & 0.321656 \tabularnewline
217 & 0.651551 & 0.696898 & 0.348449 \tabularnewline
218 & 0.649609 & 0.700782 & 0.350391 \tabularnewline
219 & 0.619738 & 0.760524 & 0.380262 \tabularnewline
220 & 0.580848 & 0.838304 & 0.419152 \tabularnewline
221 & 0.565353 & 0.869294 & 0.434647 \tabularnewline
222 & 0.538733 & 0.922535 & 0.461267 \tabularnewline
223 & 0.531664 & 0.936673 & 0.468336 \tabularnewline
224 & 0.504119 & 0.991762 & 0.495881 \tabularnewline
225 & 0.475729 & 0.951458 & 0.524271 \tabularnewline
226 & 0.44476 & 0.88952 & 0.55524 \tabularnewline
227 & 0.411182 & 0.822365 & 0.588818 \tabularnewline
228 & 0.403309 & 0.806617 & 0.596691 \tabularnewline
229 & 0.388269 & 0.776539 & 0.611731 \tabularnewline
230 & 0.354242 & 0.708483 & 0.645758 \tabularnewline
231 & 0.357889 & 0.715777 & 0.642111 \tabularnewline
232 & 0.499105 & 0.99821 & 0.500895 \tabularnewline
233 & 0.45654 & 0.913081 & 0.54346 \tabularnewline
234 & 0.499387 & 0.998774 & 0.500613 \tabularnewline
235 & 0.571023 & 0.857954 & 0.428977 \tabularnewline
236 & 0.571226 & 0.857547 & 0.428774 \tabularnewline
237 & 0.558921 & 0.882159 & 0.441079 \tabularnewline
238 & 0.570976 & 0.858048 & 0.429024 \tabularnewline
239 & 0.534957 & 0.930086 & 0.465043 \tabularnewline
240 & 0.57082 & 0.85836 & 0.42918 \tabularnewline
241 & 0.567387 & 0.865226 & 0.432613 \tabularnewline
242 & 0.739349 & 0.521302 & 0.260651 \tabularnewline
243 & 0.717485 & 0.565029 & 0.282515 \tabularnewline
244 & 0.724043 & 0.551914 & 0.275957 \tabularnewline
245 & 0.682826 & 0.634347 & 0.317174 \tabularnewline
246 & 0.637363 & 0.725274 & 0.362637 \tabularnewline
247 & 0.595526 & 0.808949 & 0.404474 \tabularnewline
248 & 0.551103 & 0.897794 & 0.448897 \tabularnewline
249 & 0.502138 & 0.995724 & 0.497862 \tabularnewline
250 & 0.557598 & 0.884804 & 0.442402 \tabularnewline
251 & 0.529929 & 0.940142 & 0.470071 \tabularnewline
252 & 0.486796 & 0.973592 & 0.513204 \tabularnewline
253 & 0.434541 & 0.869083 & 0.565459 \tabularnewline
254 & 0.407681 & 0.815363 & 0.592319 \tabularnewline
255 & 0.354425 & 0.708851 & 0.645575 \tabularnewline
256 & 0.305622 & 0.611243 & 0.694378 \tabularnewline
257 & 0.298085 & 0.59617 & 0.701915 \tabularnewline
258 & 0.398954 & 0.797907 & 0.601046 \tabularnewline
259 & 0.344232 & 0.688464 & 0.655768 \tabularnewline
260 & 0.33844 & 0.67688 & 0.66156 \tabularnewline
261 & 0.35589 & 0.711779 & 0.64411 \tabularnewline
262 & 0.434168 & 0.868336 & 0.565832 \tabularnewline
263 & 0.411933 & 0.823866 & 0.588067 \tabularnewline
264 & 0.52818 & 0.943639 & 0.47182 \tabularnewline
265 & 0.695964 & 0.608073 & 0.304036 \tabularnewline
266 & 0.695281 & 0.609439 & 0.304719 \tabularnewline
267 & 0.997527 & 0.00494522 & 0.00247261 \tabularnewline
268 & 0.99635 & 0.00729908 & 0.00364954 \tabularnewline
269 & 0.993178 & 0.0136441 & 0.00682203 \tabularnewline
270 & 0.99806 & 0.00388056 & 0.00194028 \tabularnewline
271 & 0.997172 & 0.00565551 & 0.00282775 \tabularnewline
272 & 0.994202 & 0.0115958 & 0.00579791 \tabularnewline
273 & 0.988024 & 0.0239521 & 0.0119761 \tabularnewline
274 & 0.979584 & 0.0408324 & 0.0204162 \tabularnewline
275 & 0.960874 & 0.0782529 & 0.0391264 \tabularnewline
276 & 0.932324 & 0.135352 & 0.0676759 \tabularnewline
277 & 0.907229 & 0.185543 & 0.0927713 \tabularnewline
278 & 0.845831 & 0.308338 & 0.154169 \tabularnewline
279 & 0.738778 & 0.522443 & 0.261222 \tabularnewline
280 & 0.820502 & 0.358996 & 0.179498 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=269872&T=5

[TABLE]
[ROW][C]Goldfeld-Quandt test for Heteroskedasticity[/C][/ROW]
[ROW][C]p-values[/C][C]Alternative Hypothesis[/C][/ROW]
[ROW][C]breakpoint index[/C][C]greater[/C][C]2-sided[/C][C]less[/C][/ROW]
[ROW][C]5[/C][C]0.784047[/C][C]0.431906[/C][C]0.215953[/C][/ROW]
[ROW][C]6[/C][C]0.828204[/C][C]0.343592[/C][C]0.171796[/C][/ROW]
[ROW][C]7[/C][C]0.867691[/C][C]0.264618[/C][C]0.132309[/C][/ROW]
[ROW][C]8[/C][C]0.826295[/C][C]0.34741[/C][C]0.173705[/C][/ROW]
[ROW][C]9[/C][C]0.749839[/C][C]0.500322[/C][C]0.250161[/C][/ROW]
[ROW][C]10[/C][C]0.775019[/C][C]0.449962[/C][C]0.224981[/C][/ROW]
[ROW][C]11[/C][C]0.695394[/C][C]0.609211[/C][C]0.304606[/C][/ROW]
[ROW][C]12[/C][C]0.825582[/C][C]0.348836[/C][C]0.174418[/C][/ROW]
[ROW][C]13[/C][C]0.765096[/C][C]0.469808[/C][C]0.234904[/C][/ROW]
[ROW][C]14[/C][C]0.705081[/C][C]0.589839[/C][C]0.294919[/C][/ROW]
[ROW][C]15[/C][C]0.783145[/C][C]0.433709[/C][C]0.216855[/C][/ROW]
[ROW][C]16[/C][C]0.732645[/C][C]0.53471[/C][C]0.267355[/C][/ROW]
[ROW][C]17[/C][C]0.673205[/C][C]0.65359[/C][C]0.326795[/C][/ROW]
[ROW][C]18[/C][C]0.623992[/C][C]0.752016[/C][C]0.376008[/C][/ROW]
[ROW][C]19[/C][C]0.570113[/C][C]0.859774[/C][C]0.429887[/C][/ROW]
[ROW][C]20[/C][C]0.501018[/C][C]0.997963[/C][C]0.498982[/C][/ROW]
[ROW][C]21[/C][C]0.592246[/C][C]0.815509[/C][C]0.407754[/C][/ROW]
[ROW][C]22[/C][C]0.530418[/C][C]0.939163[/C][C]0.469582[/C][/ROW]
[ROW][C]23[/C][C]0.470794[/C][C]0.941588[/C][C]0.529206[/C][/ROW]
[ROW][C]24[/C][C]0.502339[/C][C]0.995321[/C][C]0.497661[/C][/ROW]
[ROW][C]25[/C][C]0.448643[/C][C]0.897287[/C][C]0.551357[/C][/ROW]
[ROW][C]26[/C][C]0.390351[/C][C]0.780701[/C][C]0.609649[/C][/ROW]
[ROW][C]27[/C][C]0.367682[/C][C]0.735363[/C][C]0.632318[/C][/ROW]
[ROW][C]28[/C][C]0.426697[/C][C]0.853394[/C][C]0.573303[/C][/ROW]
[ROW][C]29[/C][C]0.371505[/C][C]0.743009[/C][C]0.628495[/C][/ROW]
[ROW][C]30[/C][C]0.337013[/C][C]0.674025[/C][C]0.662987[/C][/ROW]
[ROW][C]31[/C][C]0.313137[/C][C]0.626273[/C][C]0.686863[/C][/ROW]
[ROW][C]32[/C][C]0.275817[/C][C]0.551635[/C][C]0.724183[/C][/ROW]
[ROW][C]33[/C][C]0.303426[/C][C]0.606852[/C][C]0.696574[/C][/ROW]
[ROW][C]34[/C][C]0.26927[/C][C]0.53854[/C][C]0.73073[/C][/ROW]
[ROW][C]35[/C][C]0.334008[/C][C]0.668017[/C][C]0.665992[/C][/ROW]
[ROW][C]36[/C][C]0.289101[/C][C]0.578201[/C][C]0.710899[/C][/ROW]
[ROW][C]37[/C][C]0.25671[/C][C]0.51342[/C][C]0.74329[/C][/ROW]
[ROW][C]38[/C][C]0.221248[/C][C]0.442495[/C][C]0.778752[/C][/ROW]
[ROW][C]39[/C][C]0.19989[/C][C]0.399779[/C][C]0.80011[/C][/ROW]
[ROW][C]40[/C][C]0.216088[/C][C]0.432176[/C][C]0.783912[/C][/ROW]
[ROW][C]41[/C][C]0.186842[/C][C]0.373684[/C][C]0.813158[/C][/ROW]
[ROW][C]42[/C][C]0.27329[/C][C]0.546581[/C][C]0.72671[/C][/ROW]
[ROW][C]43[/C][C]0.236324[/C][C]0.472649[/C][C]0.763676[/C][/ROW]
[ROW][C]44[/C][C]0.228952[/C][C]0.457904[/C][C]0.771048[/C][/ROW]
[ROW][C]45[/C][C]0.202035[/C][C]0.404071[/C][C]0.797965[/C][/ROW]
[ROW][C]46[/C][C]0.198794[/C][C]0.397589[/C][C]0.801206[/C][/ROW]
[ROW][C]47[/C][C]0.17001[/C][C]0.34002[/C][C]0.82999[/C][/ROW]
[ROW][C]48[/C][C]0.152898[/C][C]0.305795[/C][C]0.847102[/C][/ROW]
[ROW][C]49[/C][C]0.19995[/C][C]0.3999[/C][C]0.80005[/C][/ROW]
[ROW][C]50[/C][C]0.220807[/C][C]0.441615[/C][C]0.779193[/C][/ROW]
[ROW][C]51[/C][C]0.200948[/C][C]0.401896[/C][C]0.799052[/C][/ROW]
[ROW][C]52[/C][C]0.175843[/C][C]0.351686[/C][C]0.824157[/C][/ROW]
[ROW][C]53[/C][C]0.210238[/C][C]0.420475[/C][C]0.789762[/C][/ROW]
[ROW][C]54[/C][C]0.18406[/C][C]0.368121[/C][C]0.81594[/C][/ROW]
[ROW][C]55[/C][C]0.17186[/C][C]0.34372[/C][C]0.82814[/C][/ROW]
[ROW][C]56[/C][C]0.164715[/C][C]0.329431[/C][C]0.835285[/C][/ROW]
[ROW][C]57[/C][C]0.140598[/C][C]0.281196[/C][C]0.859402[/C][/ROW]
[ROW][C]58[/C][C]0.232062[/C][C]0.464125[/C][C]0.767938[/C][/ROW]
[ROW][C]59[/C][C]0.27263[/C][C]0.545261[/C][C]0.72737[/C][/ROW]
[ROW][C]60[/C][C]0.263395[/C][C]0.52679[/C][C]0.736605[/C][/ROW]
[ROW][C]61[/C][C]0.279851[/C][C]0.559702[/C][C]0.720149[/C][/ROW]
[ROW][C]62[/C][C]0.261538[/C][C]0.523076[/C][C]0.738462[/C][/ROW]
[ROW][C]63[/C][C]0.237588[/C][C]0.475176[/C][C]0.762412[/C][/ROW]
[ROW][C]64[/C][C]0.245677[/C][C]0.491353[/C][C]0.754323[/C][/ROW]
[ROW][C]65[/C][C]0.340001[/C][C]0.680003[/C][C]0.659999[/C][/ROW]
[ROW][C]66[/C][C]0.323628[/C][C]0.647257[/C][C]0.676372[/C][/ROW]
[ROW][C]67[/C][C]0.305455[/C][C]0.610909[/C][C]0.694545[/C][/ROW]
[ROW][C]68[/C][C]0.283689[/C][C]0.567379[/C][C]0.716311[/C][/ROW]
[ROW][C]69[/C][C]0.28307[/C][C]0.566141[/C][C]0.71693[/C][/ROW]
[ROW][C]70[/C][C]0.282773[/C][C]0.565545[/C][C]0.717227[/C][/ROW]
[ROW][C]71[/C][C]0.26092[/C][C]0.52184[/C][C]0.73908[/C][/ROW]
[ROW][C]72[/C][C]0.233444[/C][C]0.466889[/C][C]0.766556[/C][/ROW]
[ROW][C]73[/C][C]0.208361[/C][C]0.416722[/C][C]0.791639[/C][/ROW]
[ROW][C]74[/C][C]0.193908[/C][C]0.387816[/C][C]0.806092[/C][/ROW]
[ROW][C]75[/C][C]0.198401[/C][C]0.396802[/C][C]0.801599[/C][/ROW]
[ROW][C]76[/C][C]0.278326[/C][C]0.556653[/C][C]0.721674[/C][/ROW]
[ROW][C]77[/C][C]0.262895[/C][C]0.525789[/C][C]0.737105[/C][/ROW]
[ROW][C]78[/C][C]0.247165[/C][C]0.494329[/C][C]0.752835[/C][/ROW]
[ROW][C]79[/C][C]0.228966[/C][C]0.457932[/C][C]0.771034[/C][/ROW]
[ROW][C]80[/C][C]0.229039[/C][C]0.458078[/C][C]0.770961[/C][/ROW]
[ROW][C]81[/C][C]0.212627[/C][C]0.425255[/C][C]0.787373[/C][/ROW]
[ROW][C]82[/C][C]0.242466[/C][C]0.484932[/C][C]0.757534[/C][/ROW]
[ROW][C]83[/C][C]0.21813[/C][C]0.43626[/C][C]0.78187[/C][/ROW]
[ROW][C]84[/C][C]0.227824[/C][C]0.455648[/C][C]0.772176[/C][/ROW]
[ROW][C]85[/C][C]0.202759[/C][C]0.405518[/C][C]0.797241[/C][/ROW]
[ROW][C]86[/C][C]0.362198[/C][C]0.724397[/C][C]0.637802[/C][/ROW]
[ROW][C]87[/C][C]0.33815[/C][C]0.676299[/C][C]0.66185[/C][/ROW]
[ROW][C]88[/C][C]0.30988[/C][C]0.61976[/C][C]0.69012[/C][/ROW]
[ROW][C]89[/C][C]0.282517[/C][C]0.565034[/C][C]0.717483[/C][/ROW]
[ROW][C]90[/C][C]0.256609[/C][C]0.513218[/C][C]0.743391[/C][/ROW]
[ROW][C]91[/C][C]0.263777[/C][C]0.527554[/C][C]0.736223[/C][/ROW]
[ROW][C]92[/C][C]0.269406[/C][C]0.538811[/C][C]0.730594[/C][/ROW]
[ROW][C]93[/C][C]0.269222[/C][C]0.538445[/C][C]0.730778[/C][/ROW]
[ROW][C]94[/C][C]0.377474[/C][C]0.754948[/C][C]0.622526[/C][/ROW]
[ROW][C]95[/C][C]0.348086[/C][C]0.696171[/C][C]0.651914[/C][/ROW]
[ROW][C]96[/C][C]0.342114[/C][C]0.684229[/C][C]0.657886[/C][/ROW]
[ROW][C]97[/C][C]0.36901[/C][C]0.738019[/C][C]0.63099[/C][/ROW]
[ROW][C]98[/C][C]0.351578[/C][C]0.703157[/C][C]0.648422[/C][/ROW]
[ROW][C]99[/C][C]0.39606[/C][C]0.792121[/C][C]0.60394[/C][/ROW]
[ROW][C]100[/C][C]0.370416[/C][C]0.740832[/C][C]0.629584[/C][/ROW]
[ROW][C]101[/C][C]0.395447[/C][C]0.790895[/C][C]0.604553[/C][/ROW]
[ROW][C]102[/C][C]0.466702[/C][C]0.933405[/C][C]0.533298[/C][/ROW]
[ROW][C]103[/C][C]0.438146[/C][C]0.876292[/C][C]0.561854[/C][/ROW]
[ROW][C]104[/C][C]0.412266[/C][C]0.824533[/C][C]0.587734[/C][/ROW]
[ROW][C]105[/C][C]0.419883[/C][C]0.839766[/C][C]0.580117[/C][/ROW]
[ROW][C]106[/C][C]0.411385[/C][C]0.822769[/C][C]0.588615[/C][/ROW]
[ROW][C]107[/C][C]0.44859[/C][C]0.89718[/C][C]0.55141[/C][/ROW]
[ROW][C]108[/C][C]0.480676[/C][C]0.961353[/C][C]0.519324[/C][/ROW]
[ROW][C]109[/C][C]0.485375[/C][C]0.970751[/C][C]0.514625[/C][/ROW]
[ROW][C]110[/C][C]0.656495[/C][C]0.68701[/C][C]0.343505[/C][/ROW]
[ROW][C]111[/C][C]0.732273[/C][C]0.535455[/C][C]0.267727[/C][/ROW]
[ROW][C]112[/C][C]0.720166[/C][C]0.559669[/C][C]0.279834[/C][/ROW]
[ROW][C]113[/C][C]0.700244[/C][C]0.599512[/C][C]0.299756[/C][/ROW]
[ROW][C]114[/C][C]0.678755[/C][C]0.64249[/C][C]0.321245[/C][/ROW]
[ROW][C]115[/C][C]0.783472[/C][C]0.433057[/C][C]0.216528[/C][/ROW]
[ROW][C]116[/C][C]0.821271[/C][C]0.357457[/C][C]0.178729[/C][/ROW]
[ROW][C]117[/C][C]0.823873[/C][C]0.352253[/C][C]0.176127[/C][/ROW]
[ROW][C]118[/C][C]0.816294[/C][C]0.367411[/C][C]0.183706[/C][/ROW]
[ROW][C]119[/C][C]0.827787[/C][C]0.344427[/C][C]0.172213[/C][/ROW]
[ROW][C]120[/C][C]0.816915[/C][C]0.366171[/C][C]0.183085[/C][/ROW]
[ROW][C]121[/C][C]0.796588[/C][C]0.406824[/C][C]0.203412[/C][/ROW]
[ROW][C]122[/C][C]0.80369[/C][C]0.392619[/C][C]0.19631[/C][/ROW]
[ROW][C]123[/C][C]0.779992[/C][C]0.440016[/C][C]0.220008[/C][/ROW]
[ROW][C]124[/C][C]0.777216[/C][C]0.445569[/C][C]0.222784[/C][/ROW]
[ROW][C]125[/C][C]0.767654[/C][C]0.464693[/C][C]0.232346[/C][/ROW]
[ROW][C]126[/C][C]0.878005[/C][C]0.24399[/C][C]0.121995[/C][/ROW]
[ROW][C]127[/C][C]0.896231[/C][C]0.207538[/C][C]0.103769[/C][/ROW]
[ROW][C]128[/C][C]0.887393[/C][C]0.225213[/C][C]0.112607[/C][/ROW]
[ROW][C]129[/C][C]0.870655[/C][C]0.258689[/C][C]0.129345[/C][/ROW]
[ROW][C]130[/C][C]0.85435[/C][C]0.291301[/C][C]0.14565[/C][/ROW]
[ROW][C]131[/C][C]0.856213[/C][C]0.287575[/C][C]0.143787[/C][/ROW]
[ROW][C]132[/C][C]0.837823[/C][C]0.324355[/C][C]0.162177[/C][/ROW]
[ROW][C]133[/C][C]0.818651[/C][C]0.362697[/C][C]0.181349[/C][/ROW]
[ROW][C]134[/C][C]0.796055[/C][C]0.407889[/C][C]0.203945[/C][/ROW]
[ROW][C]135[/C][C]0.775225[/C][C]0.449551[/C][C]0.224775[/C][/ROW]
[ROW][C]136[/C][C]0.75341[/C][C]0.49318[/C][C]0.24659[/C][/ROW]
[ROW][C]137[/C][C]0.735895[/C][C]0.528211[/C][C]0.264105[/C][/ROW]
[ROW][C]138[/C][C]0.719288[/C][C]0.561424[/C][C]0.280712[/C][/ROW]
[ROW][C]139[/C][C]0.744119[/C][C]0.511761[/C][C]0.255881[/C][/ROW]
[ROW][C]140[/C][C]0.733509[/C][C]0.532983[/C][C]0.266491[/C][/ROW]
[ROW][C]141[/C][C]0.721894[/C][C]0.556212[/C][C]0.278106[/C][/ROW]
[ROW][C]142[/C][C]0.713458[/C][C]0.573083[/C][C]0.286542[/C][/ROW]
[ROW][C]143[/C][C]0.691288[/C][C]0.617425[/C][C]0.308712[/C][/ROW]
[ROW][C]144[/C][C]0.667741[/C][C]0.664518[/C][C]0.332259[/C][/ROW]
[ROW][C]145[/C][C]0.646982[/C][C]0.706035[/C][C]0.353018[/C][/ROW]
[ROW][C]146[/C][C]0.621131[/C][C]0.757738[/C][C]0.378869[/C][/ROW]
[ROW][C]147[/C][C]0.594523[/C][C]0.810953[/C][C]0.405477[/C][/ROW]
[ROW][C]148[/C][C]0.561793[/C][C]0.876415[/C][C]0.438207[/C][/ROW]
[ROW][C]149[/C][C]0.534669[/C][C]0.930663[/C][C]0.465331[/C][/ROW]
[ROW][C]150[/C][C]0.504796[/C][C]0.990409[/C][C]0.495204[/C][/ROW]
[ROW][C]151[/C][C]0.611711[/C][C]0.776578[/C][C]0.388289[/C][/ROW]
[ROW][C]152[/C][C]0.581205[/C][C]0.837589[/C][C]0.418795[/C][/ROW]
[ROW][C]153[/C][C]0.56743[/C][C]0.865139[/C][C]0.43257[/C][/ROW]
[ROW][C]154[/C][C]0.550485[/C][C]0.89903[/C][C]0.449515[/C][/ROW]
[ROW][C]155[/C][C]0.760923[/C][C]0.478155[/C][C]0.239077[/C][/ROW]
[ROW][C]156[/C][C]0.751214[/C][C]0.497572[/C][C]0.248786[/C][/ROW]
[ROW][C]157[/C][C]0.737518[/C][C]0.524965[/C][C]0.262482[/C][/ROW]
[ROW][C]158[/C][C]0.709489[/C][C]0.581023[/C][C]0.290511[/C][/ROW]
[ROW][C]159[/C][C]0.72371[/C][C]0.552579[/C][C]0.27629[/C][/ROW]
[ROW][C]160[/C][C]0.719689[/C][C]0.560622[/C][C]0.280311[/C][/ROW]
[ROW][C]161[/C][C]0.718833[/C][C]0.562335[/C][C]0.281167[/C][/ROW]
[ROW][C]162[/C][C]0.700316[/C][C]0.599368[/C][C]0.299684[/C][/ROW]
[ROW][C]163[/C][C]0.673497[/C][C]0.653006[/C][C]0.326503[/C][/ROW]
[ROW][C]164[/C][C]0.648782[/C][C]0.702435[/C][C]0.351218[/C][/ROW]
[ROW][C]165[/C][C]0.711448[/C][C]0.577103[/C][C]0.288552[/C][/ROW]
[ROW][C]166[/C][C]0.762731[/C][C]0.474537[/C][C]0.237269[/C][/ROW]
[ROW][C]167[/C][C]0.736431[/C][C]0.527139[/C][C]0.263569[/C][/ROW]
[ROW][C]168[/C][C]0.880796[/C][C]0.238408[/C][C]0.119204[/C][/ROW]
[ROW][C]169[/C][C]0.894905[/C][C]0.210191[/C][C]0.105095[/C][/ROW]
[ROW][C]170[/C][C]0.887475[/C][C]0.225049[/C][C]0.112525[/C][/ROW]
[ROW][C]171[/C][C]0.880604[/C][C]0.238792[/C][C]0.119396[/C][/ROW]
[ROW][C]172[/C][C]0.864975[/C][C]0.270049[/C][C]0.135025[/C][/ROW]
[ROW][C]173[/C][C]0.847422[/C][C]0.305156[/C][C]0.152578[/C][/ROW]
[ROW][C]174[/C][C]0.830566[/C][C]0.338868[/C][C]0.169434[/C][/ROW]
[ROW][C]175[/C][C]0.818798[/C][C]0.362405[/C][C]0.181202[/C][/ROW]
[ROW][C]176[/C][C]0.849972[/C][C]0.300057[/C][C]0.150028[/C][/ROW]
[ROW][C]177[/C][C]0.842738[/C][C]0.314524[/C][C]0.157262[/C][/ROW]
[ROW][C]178[/C][C]0.825947[/C][C]0.348107[/C][C]0.174053[/C][/ROW]
[ROW][C]179[/C][C]0.808089[/C][C]0.383821[/C][C]0.191911[/C][/ROW]
[ROW][C]180[/C][C]0.827212[/C][C]0.345577[/C][C]0.172788[/C][/ROW]
[ROW][C]181[/C][C]0.808147[/C][C]0.383706[/C][C]0.191853[/C][/ROW]
[ROW][C]182[/C][C]0.809597[/C][C]0.380806[/C][C]0.190403[/C][/ROW]
[ROW][C]183[/C][C]0.790948[/C][C]0.418104[/C][C]0.209052[/C][/ROW]
[ROW][C]184[/C][C]0.794576[/C][C]0.410849[/C][C]0.205424[/C][/ROW]
[ROW][C]185[/C][C]0.778711[/C][C]0.442578[/C][C]0.221289[/C][/ROW]
[ROW][C]186[/C][C]0.752857[/C][C]0.494286[/C][C]0.247143[/C][/ROW]
[ROW][C]187[/C][C]0.755385[/C][C]0.48923[/C][C]0.244615[/C][/ROW]
[ROW][C]188[/C][C]0.731051[/C][C]0.537898[/C][C]0.268949[/C][/ROW]
[ROW][C]189[/C][C]0.766094[/C][C]0.467812[/C][C]0.233906[/C][/ROW]
[ROW][C]190[/C][C]0.752822[/C][C]0.494355[/C][C]0.247178[/C][/ROW]
[ROW][C]191[/C][C]0.76741[/C][C]0.46518[/C][C]0.23259[/C][/ROW]
[ROW][C]192[/C][C]0.746354[/C][C]0.507292[/C][C]0.253646[/C][/ROW]
[ROW][C]193[/C][C]0.741666[/C][C]0.516667[/C][C]0.258334[/C][/ROW]
[ROW][C]194[/C][C]0.752935[/C][C]0.494131[/C][C]0.247065[/C][/ROW]
[ROW][C]195[/C][C]0.730485[/C][C]0.53903[/C][C]0.269515[/C][/ROW]
[ROW][C]196[/C][C]0.705434[/C][C]0.589132[/C][C]0.294566[/C][/ROW]
[ROW][C]197[/C][C]0.712134[/C][C]0.575731[/C][C]0.287866[/C][/ROW]
[ROW][C]198[/C][C]0.755288[/C][C]0.489423[/C][C]0.244712[/C][/ROW]
[ROW][C]199[/C][C]0.737545[/C][C]0.52491[/C][C]0.262455[/C][/ROW]
[ROW][C]200[/C][C]0.744419[/C][C]0.511162[/C][C]0.255581[/C][/ROW]
[ROW][C]201[/C][C]0.729929[/C][C]0.540141[/C][C]0.270071[/C][/ROW]
[ROW][C]202[/C][C]0.719371[/C][C]0.561259[/C][C]0.280629[/C][/ROW]
[ROW][C]203[/C][C]0.727696[/C][C]0.544607[/C][C]0.272304[/C][/ROW]
[ROW][C]204[/C][C]0.714688[/C][C]0.570624[/C][C]0.285312[/C][/ROW]
[ROW][C]205[/C][C]0.72154[/C][C]0.55692[/C][C]0.27846[/C][/ROW]
[ROW][C]206[/C][C]0.701704[/C][C]0.596591[/C][C]0.298296[/C][/ROW]
[ROW][C]207[/C][C]0.713717[/C][C]0.572567[/C][C]0.286283[/C][/ROW]
[ROW][C]208[/C][C]0.689767[/C][C]0.620465[/C][C]0.310233[/C][/ROW]
[ROW][C]209[/C][C]0.734044[/C][C]0.531912[/C][C]0.265956[/C][/ROW]
[ROW][C]210[/C][C]0.73409[/C][C]0.531819[/C][C]0.26591[/C][/ROW]
[ROW][C]211[/C][C]0.704952[/C][C]0.590096[/C][C]0.295048[/C][/ROW]
[ROW][C]212[/C][C]0.713897[/C][C]0.572206[/C][C]0.286103[/C][/ROW]
[ROW][C]213[/C][C]0.704483[/C][C]0.591034[/C][C]0.295517[/C][/ROW]
[ROW][C]214[/C][C]0.707337[/C][C]0.585326[/C][C]0.292663[/C][/ROW]
[ROW][C]215[/C][C]0.701376[/C][C]0.597249[/C][C]0.298624[/C][/ROW]
[ROW][C]216[/C][C]0.678344[/C][C]0.643312[/C][C]0.321656[/C][/ROW]
[ROW][C]217[/C][C]0.651551[/C][C]0.696898[/C][C]0.348449[/C][/ROW]
[ROW][C]218[/C][C]0.649609[/C][C]0.700782[/C][C]0.350391[/C][/ROW]
[ROW][C]219[/C][C]0.619738[/C][C]0.760524[/C][C]0.380262[/C][/ROW]
[ROW][C]220[/C][C]0.580848[/C][C]0.838304[/C][C]0.419152[/C][/ROW]
[ROW][C]221[/C][C]0.565353[/C][C]0.869294[/C][C]0.434647[/C][/ROW]
[ROW][C]222[/C][C]0.538733[/C][C]0.922535[/C][C]0.461267[/C][/ROW]
[ROW][C]223[/C][C]0.531664[/C][C]0.936673[/C][C]0.468336[/C][/ROW]
[ROW][C]224[/C][C]0.504119[/C][C]0.991762[/C][C]0.495881[/C][/ROW]
[ROW][C]225[/C][C]0.475729[/C][C]0.951458[/C][C]0.524271[/C][/ROW]
[ROW][C]226[/C][C]0.44476[/C][C]0.88952[/C][C]0.55524[/C][/ROW]
[ROW][C]227[/C][C]0.411182[/C][C]0.822365[/C][C]0.588818[/C][/ROW]
[ROW][C]228[/C][C]0.403309[/C][C]0.806617[/C][C]0.596691[/C][/ROW]
[ROW][C]229[/C][C]0.388269[/C][C]0.776539[/C][C]0.611731[/C][/ROW]
[ROW][C]230[/C][C]0.354242[/C][C]0.708483[/C][C]0.645758[/C][/ROW]
[ROW][C]231[/C][C]0.357889[/C][C]0.715777[/C][C]0.642111[/C][/ROW]
[ROW][C]232[/C][C]0.499105[/C][C]0.99821[/C][C]0.500895[/C][/ROW]
[ROW][C]233[/C][C]0.45654[/C][C]0.913081[/C][C]0.54346[/C][/ROW]
[ROW][C]234[/C][C]0.499387[/C][C]0.998774[/C][C]0.500613[/C][/ROW]
[ROW][C]235[/C][C]0.571023[/C][C]0.857954[/C][C]0.428977[/C][/ROW]
[ROW][C]236[/C][C]0.571226[/C][C]0.857547[/C][C]0.428774[/C][/ROW]
[ROW][C]237[/C][C]0.558921[/C][C]0.882159[/C][C]0.441079[/C][/ROW]
[ROW][C]238[/C][C]0.570976[/C][C]0.858048[/C][C]0.429024[/C][/ROW]
[ROW][C]239[/C][C]0.534957[/C][C]0.930086[/C][C]0.465043[/C][/ROW]
[ROW][C]240[/C][C]0.57082[/C][C]0.85836[/C][C]0.42918[/C][/ROW]
[ROW][C]241[/C][C]0.567387[/C][C]0.865226[/C][C]0.432613[/C][/ROW]
[ROW][C]242[/C][C]0.739349[/C][C]0.521302[/C][C]0.260651[/C][/ROW]
[ROW][C]243[/C][C]0.717485[/C][C]0.565029[/C][C]0.282515[/C][/ROW]
[ROW][C]244[/C][C]0.724043[/C][C]0.551914[/C][C]0.275957[/C][/ROW]
[ROW][C]245[/C][C]0.682826[/C][C]0.634347[/C][C]0.317174[/C][/ROW]
[ROW][C]246[/C][C]0.637363[/C][C]0.725274[/C][C]0.362637[/C][/ROW]
[ROW][C]247[/C][C]0.595526[/C][C]0.808949[/C][C]0.404474[/C][/ROW]
[ROW][C]248[/C][C]0.551103[/C][C]0.897794[/C][C]0.448897[/C][/ROW]
[ROW][C]249[/C][C]0.502138[/C][C]0.995724[/C][C]0.497862[/C][/ROW]
[ROW][C]250[/C][C]0.557598[/C][C]0.884804[/C][C]0.442402[/C][/ROW]
[ROW][C]251[/C][C]0.529929[/C][C]0.940142[/C][C]0.470071[/C][/ROW]
[ROW][C]252[/C][C]0.486796[/C][C]0.973592[/C][C]0.513204[/C][/ROW]
[ROW][C]253[/C][C]0.434541[/C][C]0.869083[/C][C]0.565459[/C][/ROW]
[ROW][C]254[/C][C]0.407681[/C][C]0.815363[/C][C]0.592319[/C][/ROW]
[ROW][C]255[/C][C]0.354425[/C][C]0.708851[/C][C]0.645575[/C][/ROW]
[ROW][C]256[/C][C]0.305622[/C][C]0.611243[/C][C]0.694378[/C][/ROW]
[ROW][C]257[/C][C]0.298085[/C][C]0.59617[/C][C]0.701915[/C][/ROW]
[ROW][C]258[/C][C]0.398954[/C][C]0.797907[/C][C]0.601046[/C][/ROW]
[ROW][C]259[/C][C]0.344232[/C][C]0.688464[/C][C]0.655768[/C][/ROW]
[ROW][C]260[/C][C]0.33844[/C][C]0.67688[/C][C]0.66156[/C][/ROW]
[ROW][C]261[/C][C]0.35589[/C][C]0.711779[/C][C]0.64411[/C][/ROW]
[ROW][C]262[/C][C]0.434168[/C][C]0.868336[/C][C]0.565832[/C][/ROW]
[ROW][C]263[/C][C]0.411933[/C][C]0.823866[/C][C]0.588067[/C][/ROW]
[ROW][C]264[/C][C]0.52818[/C][C]0.943639[/C][C]0.47182[/C][/ROW]
[ROW][C]265[/C][C]0.695964[/C][C]0.608073[/C][C]0.304036[/C][/ROW]
[ROW][C]266[/C][C]0.695281[/C][C]0.609439[/C][C]0.304719[/C][/ROW]
[ROW][C]267[/C][C]0.997527[/C][C]0.00494522[/C][C]0.00247261[/C][/ROW]
[ROW][C]268[/C][C]0.99635[/C][C]0.00729908[/C][C]0.00364954[/C][/ROW]
[ROW][C]269[/C][C]0.993178[/C][C]0.0136441[/C][C]0.00682203[/C][/ROW]
[ROW][C]270[/C][C]0.99806[/C][C]0.00388056[/C][C]0.00194028[/C][/ROW]
[ROW][C]271[/C][C]0.997172[/C][C]0.00565551[/C][C]0.00282775[/C][/ROW]
[ROW][C]272[/C][C]0.994202[/C][C]0.0115958[/C][C]0.00579791[/C][/ROW]
[ROW][C]273[/C][C]0.988024[/C][C]0.0239521[/C][C]0.0119761[/C][/ROW]
[ROW][C]274[/C][C]0.979584[/C][C]0.0408324[/C][C]0.0204162[/C][/ROW]
[ROW][C]275[/C][C]0.960874[/C][C]0.0782529[/C][C]0.0391264[/C][/ROW]
[ROW][C]276[/C][C]0.932324[/C][C]0.135352[/C][C]0.0676759[/C][/ROW]
[ROW][C]277[/C][C]0.907229[/C][C]0.185543[/C][C]0.0927713[/C][/ROW]
[ROW][C]278[/C][C]0.845831[/C][C]0.308338[/C][C]0.154169[/C][/ROW]
[ROW][C]279[/C][C]0.738778[/C][C]0.522443[/C][C]0.261222[/C][/ROW]
[ROW][C]280[/C][C]0.820502[/C][C]0.358996[/C][C]0.179498[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=269872&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=269872&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
50.7840470.4319060.215953
60.8282040.3435920.171796
70.8676910.2646180.132309
80.8262950.347410.173705
90.7498390.5003220.250161
100.7750190.4499620.224981
110.6953940.6092110.304606
120.8255820.3488360.174418
130.7650960.4698080.234904
140.7050810.5898390.294919
150.7831450.4337090.216855
160.7326450.534710.267355
170.6732050.653590.326795
180.6239920.7520160.376008
190.5701130.8597740.429887
200.5010180.9979630.498982
210.5922460.8155090.407754
220.5304180.9391630.469582
230.4707940.9415880.529206
240.5023390.9953210.497661
250.4486430.8972870.551357
260.3903510.7807010.609649
270.3676820.7353630.632318
280.4266970.8533940.573303
290.3715050.7430090.628495
300.3370130.6740250.662987
310.3131370.6262730.686863
320.2758170.5516350.724183
330.3034260.6068520.696574
340.269270.538540.73073
350.3340080.6680170.665992
360.2891010.5782010.710899
370.256710.513420.74329
380.2212480.4424950.778752
390.199890.3997790.80011
400.2160880.4321760.783912
410.1868420.3736840.813158
420.273290.5465810.72671
430.2363240.4726490.763676
440.2289520.4579040.771048
450.2020350.4040710.797965
460.1987940.3975890.801206
470.170010.340020.82999
480.1528980.3057950.847102
490.199950.39990.80005
500.2208070.4416150.779193
510.2009480.4018960.799052
520.1758430.3516860.824157
530.2102380.4204750.789762
540.184060.3681210.81594
550.171860.343720.82814
560.1647150.3294310.835285
570.1405980.2811960.859402
580.2320620.4641250.767938
590.272630.5452610.72737
600.2633950.526790.736605
610.2798510.5597020.720149
620.2615380.5230760.738462
630.2375880.4751760.762412
640.2456770.4913530.754323
650.3400010.6800030.659999
660.3236280.6472570.676372
670.3054550.6109090.694545
680.2836890.5673790.716311
690.283070.5661410.71693
700.2827730.5655450.717227
710.260920.521840.73908
720.2334440.4668890.766556
730.2083610.4167220.791639
740.1939080.3878160.806092
750.1984010.3968020.801599
760.2783260.5566530.721674
770.2628950.5257890.737105
780.2471650.4943290.752835
790.2289660.4579320.771034
800.2290390.4580780.770961
810.2126270.4252550.787373
820.2424660.4849320.757534
830.218130.436260.78187
840.2278240.4556480.772176
850.2027590.4055180.797241
860.3621980.7243970.637802
870.338150.6762990.66185
880.309880.619760.69012
890.2825170.5650340.717483
900.2566090.5132180.743391
910.2637770.5275540.736223
920.2694060.5388110.730594
930.2692220.5384450.730778
940.3774740.7549480.622526
950.3480860.6961710.651914
960.3421140.6842290.657886
970.369010.7380190.63099
980.3515780.7031570.648422
990.396060.7921210.60394
1000.3704160.7408320.629584
1010.3954470.7908950.604553
1020.4667020.9334050.533298
1030.4381460.8762920.561854
1040.4122660.8245330.587734
1050.4198830.8397660.580117
1060.4113850.8227690.588615
1070.448590.897180.55141
1080.4806760.9613530.519324
1090.4853750.9707510.514625
1100.6564950.687010.343505
1110.7322730.5354550.267727
1120.7201660.5596690.279834
1130.7002440.5995120.299756
1140.6787550.642490.321245
1150.7834720.4330570.216528
1160.8212710.3574570.178729
1170.8238730.3522530.176127
1180.8162940.3674110.183706
1190.8277870.3444270.172213
1200.8169150.3661710.183085
1210.7965880.4068240.203412
1220.803690.3926190.19631
1230.7799920.4400160.220008
1240.7772160.4455690.222784
1250.7676540.4646930.232346
1260.8780050.243990.121995
1270.8962310.2075380.103769
1280.8873930.2252130.112607
1290.8706550.2586890.129345
1300.854350.2913010.14565
1310.8562130.2875750.143787
1320.8378230.3243550.162177
1330.8186510.3626970.181349
1340.7960550.4078890.203945
1350.7752250.4495510.224775
1360.753410.493180.24659
1370.7358950.5282110.264105
1380.7192880.5614240.280712
1390.7441190.5117610.255881
1400.7335090.5329830.266491
1410.7218940.5562120.278106
1420.7134580.5730830.286542
1430.6912880.6174250.308712
1440.6677410.6645180.332259
1450.6469820.7060350.353018
1460.6211310.7577380.378869
1470.5945230.8109530.405477
1480.5617930.8764150.438207
1490.5346690.9306630.465331
1500.5047960.9904090.495204
1510.6117110.7765780.388289
1520.5812050.8375890.418795
1530.567430.8651390.43257
1540.5504850.899030.449515
1550.7609230.4781550.239077
1560.7512140.4975720.248786
1570.7375180.5249650.262482
1580.7094890.5810230.290511
1590.723710.5525790.27629
1600.7196890.5606220.280311
1610.7188330.5623350.281167
1620.7003160.5993680.299684
1630.6734970.6530060.326503
1640.6487820.7024350.351218
1650.7114480.5771030.288552
1660.7627310.4745370.237269
1670.7364310.5271390.263569
1680.8807960.2384080.119204
1690.8949050.2101910.105095
1700.8874750.2250490.112525
1710.8806040.2387920.119396
1720.8649750.2700490.135025
1730.8474220.3051560.152578
1740.8305660.3388680.169434
1750.8187980.3624050.181202
1760.8499720.3000570.150028
1770.8427380.3145240.157262
1780.8259470.3481070.174053
1790.8080890.3838210.191911
1800.8272120.3455770.172788
1810.8081470.3837060.191853
1820.8095970.3808060.190403
1830.7909480.4181040.209052
1840.7945760.4108490.205424
1850.7787110.4425780.221289
1860.7528570.4942860.247143
1870.7553850.489230.244615
1880.7310510.5378980.268949
1890.7660940.4678120.233906
1900.7528220.4943550.247178
1910.767410.465180.23259
1920.7463540.5072920.253646
1930.7416660.5166670.258334
1940.7529350.4941310.247065
1950.7304850.539030.269515
1960.7054340.5891320.294566
1970.7121340.5757310.287866
1980.7552880.4894230.244712
1990.7375450.524910.262455
2000.7444190.5111620.255581
2010.7299290.5401410.270071
2020.7193710.5612590.280629
2030.7276960.5446070.272304
2040.7146880.5706240.285312
2050.721540.556920.27846
2060.7017040.5965910.298296
2070.7137170.5725670.286283
2080.6897670.6204650.310233
2090.7340440.5319120.265956
2100.734090.5318190.26591
2110.7049520.5900960.295048
2120.7138970.5722060.286103
2130.7044830.5910340.295517
2140.7073370.5853260.292663
2150.7013760.5972490.298624
2160.6783440.6433120.321656
2170.6515510.6968980.348449
2180.6496090.7007820.350391
2190.6197380.7605240.380262
2200.5808480.8383040.419152
2210.5653530.8692940.434647
2220.5387330.9225350.461267
2230.5316640.9366730.468336
2240.5041190.9917620.495881
2250.4757290.9514580.524271
2260.444760.889520.55524
2270.4111820.8223650.588818
2280.4033090.8066170.596691
2290.3882690.7765390.611731
2300.3542420.7084830.645758
2310.3578890.7157770.642111
2320.4991050.998210.500895
2330.456540.9130810.54346
2340.4993870.9987740.500613
2350.5710230.8579540.428977
2360.5712260.8575470.428774
2370.5589210.8821590.441079
2380.5709760.8580480.429024
2390.5349570.9300860.465043
2400.570820.858360.42918
2410.5673870.8652260.432613
2420.7393490.5213020.260651
2430.7174850.5650290.282515
2440.7240430.5519140.275957
2450.6828260.6343470.317174
2460.6373630.7252740.362637
2470.5955260.8089490.404474
2480.5511030.8977940.448897
2490.5021380.9957240.497862
2500.5575980.8848040.442402
2510.5299290.9401420.470071
2520.4867960.9735920.513204
2530.4345410.8690830.565459
2540.4076810.8153630.592319
2550.3544250.7088510.645575
2560.3056220.6112430.694378
2570.2980850.596170.701915
2580.3989540.7979070.601046
2590.3442320.6884640.655768
2600.338440.676880.66156
2610.355890.7117790.64411
2620.4341680.8683360.565832
2630.4119330.8238660.588067
2640.528180.9436390.47182
2650.6959640.6080730.304036
2660.6952810.6094390.304719
2670.9975270.004945220.00247261
2680.996350.007299080.00364954
2690.9931780.01364410.00682203
2700.998060.003880560.00194028
2710.9971720.005655510.00282775
2720.9942020.01159580.00579791
2730.9880240.02395210.0119761
2740.9795840.04083240.0204162
2750.9608740.07825290.0391264
2760.9323240.1353520.0676759
2770.9072290.1855430.0927713
2780.8458310.3083380.154169
2790.7387780.5224430.261222
2800.8205020.3589960.179498






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level40.0144928NOK
5% type I error level80.0289855OK
10% type I error level90.0326087OK

\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 & 4 & 0.0144928 & NOK \tabularnewline
5% type I error level & 8 & 0.0289855 & OK \tabularnewline
10% type I error level & 9 & 0.0326087 & OK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=269872&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]4[/C][C]0.0144928[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]8[/C][C]0.0289855[/C][C]OK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]9[/C][C]0.0326087[/C][C]OK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=269872&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=269872&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 level40.0144928NOK
5% type I error level80.0289855OK
10% type I error level90.0326087OK


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')
}