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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 computationSun, 07 Dec 2014 11:21:50 +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/07/t1417951335refuypswby6kn2d.htm/, Retrieved Wed, 29 May 2024 04:53:02 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=263722, Retrieved Wed, 29 May 2024 04:53:02 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact113

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Multiple Regression] [Motivatie_Zelfver...] [2014-12-07 11:21:50] [4ce2356216df8db4950cd852fec912aa] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
13 26 50 4 12.9
8 57 62 4 12.2
14 37 54 5 12.8
16 67 71 4 7.4
14 43 54 4 6.7
13 52 65 9 12.6
15 52 73 8 14.8
13 43 52 11 13.3
20 84 84 4 11.1
17 67 42 4 8.2
15 49 66 6 11.4
16 70 65 4 6.4
12 52 78 8 10.6
17 58 73 4 12.0
11 68 75 4 6.3
16 62 72 11 11.3
16 43 66 4 11.9
15 56 70 4 9.3
13 56 61 6 9.6
14 74 81 6 10.0
19 65 71 4 6.4
16 63 69 8 13.8
17 58 71 5 10.8
10 57 72 4 13.8
15 63 68 9 11.7
14 53 70 4 10.9
14 57 68 7 16.1
16 51 61 10 13.4
15 64 67 4 9.9
17 53 76 4 11.5
14 29 70 7 8.3
16 54 60 12 11.7
15 58 72 7 9.0
16 43 69 5 9.7
16 51 71 8 10.8
10 53 62 5 10.3
8 54 70 4 10.4
17 56 64 9 12.7
14 61 58 7 9.3
10 47 76 4 11.8
14 39 52 4 5.9
12 48 59 4 11.4
16 50 68 4 13.0
16 35 76 4 10.8
16 30 65 7 12.3
8 68 67 4 11.3
16 49 59 7 11.8
15 61 69 4 7.9
8 67 76 4 12.7
13 47 63 4 12.3
14 56 75 4 11.6
13 50 63 8 6.7
16 43 60 4 10.9
19 67 73 4 12.1
19 62 63 4 13.3
14 57 70 4 10.1
15 41 75 7 5.7
13 54 66 12 14.3
10 45 63 4 8.0
16 48 63 4 13.3
15 61 64 4 9.3
11 56 70 5 12.5
9 41 75 15 7.6
16 43 61 5 15.9
12 53 60 10 9.2
12 44 62 9 9.1
14 66 73 8 11.1
14 58 61 4 13.0
13 46 66 5 14.5
15 37 64 4 12.2
17 51 59 9 12.3
14 51 64 4 11.4
11 56 60 10 8.8
9 66 56 4 14.6
7 37 78 4 12.6
13 59 53 6 NA
15 42 67 7 13.0
12 38 59 5 12.6
15 66 66 4 13.2
14 34 68 4 9.9
16 53 71 4 7.7
14 49 66 4 10.5
13 55 73 4 13.4
16 49 72 4 10.9
13 59 71 6 4.3
16 40 59 10 10.3
16 58 64 7 11.8
16 60 66 4 11.2
10 63 78 4 11.4
12 56 68 7 8.6
12 54 73 4 13.2
12 52 62 8 12.6
12 34 65 11 5.6
19 69 68 6 9.9
14 32 65 14 8.8
13 48 60 5 7.7
16 67 71 4 9.0
15 58 65 8 7.3
12 57 68 9 11.4
8 42 64 4 13.6
10 64 74 4 7.9
16 58 69 5 10.7
16 66 76 4 10.3
10 26 68 5 8.3
18 61 72 4 9.6
12 52 67 4 14.2
16 51 63 7 8.5
10 55 59 10 13.5
14 50 73 4 4.9
12 60 66 5 6.4
11 56 62 4 9.6
15 63 69 4 11.6
7 61 66 4 11.1
16 52 51 6 4.35
16 16 56 4 12.7
16 46 67 8 18.1
16 56 69 5 17.85
12 52 57 4 16.6
15 55 56 17 12.6
14 50 55 4 17.1
15 59 63 4 19.1
16 60 67 8 16.1
13 52 65 4 13.35
10 44 47 7 18.4
17 67 76 4 14.7
15 52 64 4 10.6
18 55 68 5 12.6
16 37 64 7 16.2
20 54 65 4 13.6
16 72 71 4 18.9
17 51 63 7 14.1
16 48 60 11 14.5
15 60 68 7 16.15
13 50 72 4 14.75
16 63 70 4 14.8
16 33 61 4 12.45
16 67 61 4 12.65
17 46 62 4 17.35
20 54 71 4 8.6
14 59 71 6 18.4
17 61 51 8 16.1
6 33 56 23 11.6
16 47 70 4 17.75
15 69 73 8 15.25
16 52 76 6 17.65
16 55 68 4 16.35
14 41 48 7 17.65
16 73 52 4 13.6
16 52 60 4 14.35
16 50 59 4 14.75
14 51 57 10 18.25
14 60 79 6 9.9
16 56 60 5 16
16 56 60 5 18.25
15 29 59 4 16.85
16 66 62 4 14.6
16 66 59 5 13.85
18 73 61 5 18.95
15 55 71 5 15.6
16 64 57 5 14.85
16 40 66 4 11.75
16 46 63 6 18.45
17 58 69 4 15.9
14 43 58 4 17.1
18 61 59 4 16.1
9 51 48 9 19.9
15 50 66 18 10.95
14 52 73 6 18.45
15 54 67 5 15.1
13 66 61 4 15
16 61 68 11 11.35
20 80 75 4 15.95
14 51 62 10 18.1
12 56 69 6 14.6
15 56 58 8 15.4
15 56 60 8 15.4
15 53 74 6 17.6
16 47 55 8 13.35
11 25 62 4 19.1
16 47 63 4 15.35
7 46 69 9 7.6
11 50 58 9 13.4
9 39 58 5 13.9
15 51 68 4 19.1
16 58 72 4 15.25
14 35 62 15 12.9
15 58 62 10 16.1
13 60 65 9 17.35
13 62 69 7 13.15
12 63 66 9 12.15
16 53 72 6 12.6
14 46 62 4 10.35
16 67 75 7 15.4
14 59 58 4 9.6
15 64 66 7 18.2
10 38 55 4 13.6
16 50 47 15 14.85
14 48 72 4 14.75
16 48 62 9 14.1
12 47 64 4 14.9
16 66 64 4 16.25
16 47 19 28 19.25
15 63 50 4 13.6
14 58 68 4 13.6
16 44 70 4 15.65
11 51 79 5 12.75
15 43 69 4 14.6
18 55 71 4 9.85
13 38 48 12 12.65
7 45 73 4 19.2
7 50 74 6 16.6
17 54 66 6 11.2
18 57 71 5 15.25
15 60 74 4 11.9
8 55 78 4 13.2
13 56 75 4 16.35
13 49 53 10 12.4
15 37 60 7 15.85
18 59 70 4 18.15
16 46 69 7 11.15
14 51 65 4 15.65
15 58 78 4 17.75
19 64 78 12 7.65
16 53 59 5 12.35
12 48 72 8 15.6
16 51 70 6 19.3
11 47 63 17 15.2
16 59 63 4 17.1
15 62 71 5 15.6
19 62 74 4 18.4
15 51 67 5 19.05
14 64 66 5 18.55
14 52 62 6 19.1
17 67 80 4 13.1
16 50 73 4 12.85
20 54 67 4 9.5
16 58 61 6 4.5
9 56 73 8 11.85
13 63 74 10 13.6
15 31 32 4 11.7
19 65 69 5 12.4
16 71 69 4 13.35
17 50 84 4 11.4
16 57 64 4 14.9
9 47 58 16 19.9
11 47 59 7 11.2
14 57 78 4 14.6
19 43 57 4 17.6
13 41 60 14 14.05
14 63 68 5 16.1
15 63 68 5 13.35
15 56 73 5 11.85
14 51 69 5 11.95
16 50 67 7 14.75
17 22 60 19 15.15
12 41 65 16 13.2
15 59 66 4 16.85
17 56 74 4 7.85
15 66 81 7 7.7
10 53 72 9 12.6
16 42 55 5 7.85
15 52 49 14 10.95
11 54 74 4 12.35
16 44 53 16 9.95
16 62 64 10 14.9
16 53 65 5 16.65
14 50 57 6 13.4
14 36 51 4 13.95
16 76 80 4 15.7
16 66 67 4 16.85
18 62 70 5 10.95
14 59 74 4 15.35
20 47 75 4 12.2
15 55 70 5 15.1
16 58 69 4 17.75
16 60 65 4 15.2
16 44 55 5 14.6
12 57 71 8 16.65
8 45 65 15 8.1

Tables (Output of Computation)





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

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 9 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=263722&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]9 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=263722&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=263722&T=0

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


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

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






Multiple Linear Regression - Estimated Regression Equation
CONFSTATTOT[t] = + 13.2019 + 0.0609004AMS.I[t] -0.0294798AMS.E[t] -0.103932AMS.A[t] + 0.0408019TOT[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
CONFSTATTOT[t] =  +  13.2019 +  0.0609004AMS.I[t] -0.0294798AMS.E[t] -0.103932AMS.A[t] +  0.0408019TOT[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=263722&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]CONFSTATTOT[t] =  +  13.2019 +  0.0609004AMS.I[t] -0.0294798AMS.E[t] -0.103932AMS.A[t] +  0.0408019TOT[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=263722&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=263722&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
CONFSTATTOT[t] = + 13.2019 + 0.0609004AMS.I[t] -0.0294798AMS.E[t] -0.103932AMS.A[t] + 0.0408019TOT[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)13.20191.751147.5397.02034e-133.51017e-13
AMS.I0.06090040.01668233.6510.0003134810.000156741
AMS.E-0.02947980.0219005-1.3460.1793930.0896967
AMS.A-0.1039320.0491021-2.1170.03519360.0175968
TOT0.04080190.04738880.8610.3899910.194996

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Ordinary Least Squares \tabularnewline
Variable & Parameter & S.D. & T-STATH0: parameter = 0 & 2-tail p-value & 1-tail p-value \tabularnewline
(Intercept) & 13.2019 & 1.75114 & 7.539 & 7.02034e-13 & 3.51017e-13 \tabularnewline
AMS.I & 0.0609004 & 0.0166823 & 3.651 & 0.000313481 & 0.000156741 \tabularnewline
AMS.E & -0.0294798 & 0.0219005 & -1.346 & 0.179393 & 0.0896967 \tabularnewline
AMS.A & -0.103932 & 0.0491021 & -2.117 & 0.0351936 & 0.0175968 \tabularnewline
TOT & 0.0408019 & 0.0473888 & 0.861 & 0.389991 & 0.194996 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=263722&T=2

[TABLE]
[ROW][C]Multiple Linear Regression - Ordinary Least Squares[/C][/ROW]
[ROW][C]Variable[/C][C]Parameter[/C][C]S.D.[/C][C]T-STATH0: parameter = 0[/C][C]2-tail p-value[/C][C]1-tail p-value[/C][/ROW]
[ROW][C](Intercept)[/C][C]13.2019[/C][C]1.75114[/C][C]7.539[/C][C]7.02034e-13[/C][C]3.51017e-13[/C][/ROW]
[ROW][C]AMS.I[/C][C]0.0609004[/C][C]0.0166823[/C][C]3.651[/C][C]0.000313481[/C][C]0.000156741[/C][/ROW]
[ROW][C]AMS.E[/C][C]-0.0294798[/C][C]0.0219005[/C][C]-1.346[/C][C]0.179393[/C][C]0.0896967[/C][/ROW]
[ROW][C]AMS.A[/C][C]-0.103932[/C][C]0.0491021[/C][C]-2.117[/C][C]0.0351936[/C][C]0.0175968[/C][/ROW]
[ROW][C]TOT[/C][C]0.0408019[/C][C]0.0473888[/C][C]0.861[/C][C]0.389991[/C][C]0.194996[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=263722&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=263722&T=2

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


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

Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)13.20191.751147.5397.02034e-133.51017e-13
AMS.I0.06090040.01668233.6510.0003134810.000156741
AMS.E-0.02947980.0219005-1.3460.1793930.0896967
AMS.A-0.1039320.0491021-2.1170.03519360.0175968
TOT0.04080190.04738880.8610.3899910.194996






Multiple Linear Regression - Regression Statistics
Multiple R0.271524
R-squared0.0737251
Adjusted R-squared0.0601533
F-TEST (value)5.43223
F-TEST (DF numerator)4
F-TEST (DF denominator)273
p-value0.000319071
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.65389
Sum Squared Residuals1922.78

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.271524 \tabularnewline
R-squared & 0.0737251 \tabularnewline
Adjusted R-squared & 0.0601533 \tabularnewline
F-TEST (value) & 5.43223 \tabularnewline
F-TEST (DF numerator) & 4 \tabularnewline
F-TEST (DF denominator) & 273 \tabularnewline
p-value & 0.000319071 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 2.65389 \tabularnewline
Sum Squared Residuals & 1922.78 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=263722&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.271524[/C][/ROW]
[ROW][C]R-squared[/C][C]0.0737251[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.0601533[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]5.43223[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]4[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]273[/C][/ROW]
[ROW][C]p-value[/C][C]0.000319071[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]2.65389[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]1922.78[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=263722&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=263722&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 R0.271524
R-squared0.0737251
Adjusted R-squared0.0601533
F-TEST (value)5.43223
F-TEST (DF numerator)4
F-TEST (DF denominator)273
p-value0.000319071
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.65389
Sum Squared Residuals1922.78






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
11313.422-0.421956
2814.9275-6.92755
31413.86590.134071
41615.07540.924615
51414.0864-0.0863713
61314.0313-1.03127
71513.98911.01088
81313.6871-0.687097
92015.87844.12158
101715.96291.03706
111514.08190.91808
121615.39420.605837
131213.6704-1.67036
141714.6562.34399
151114.9735-3.97348
161614.1731.827
171613.94482.05522
181514.51250.487516
191314.5822-1.58218
201415.1051-1.10511
211914.91284.08722
221614.73611.26385
231714.56212.43792
241014.698-4.69803
251514.5760.423991
261414.3951-0.395067
271414.598-0.598
281614.0171.98301
291515.1126-0.112608
301714.24272.75733
311412.51561.48442
321613.95192.04805
331514.25130.748712
341613.66262.33735
351613.8242.17602
361014.5025-4.50249
37814.4356-6.43557
381714.30842.69157
391414.8589-0.858946
401013.8895-3.88951
411413.86910.130912
421214.4352-2.43524
431614.3571.64299
441613.11792.8821
451612.88713.11292
46815.4133-7.41333
471614.20071.79933
481514.78930.210657
49815.1442-7.14424
501314.2931-1.29315
511414.4589-0.45893
521313.8316-0.831626
531614.08091.91914
541915.20823.79181
551915.24753.75255
561414.606-0.606026
571512.99292.0071
581313.8812-0.881154
591013.9959-3.9959
601614.39481.60515
611514.99390.00613505
621114.5391-3.53912
63912.239-3.23896
641614.15151.84854
651213.9969-1.99691
661213.4897-1.4897
671414.6908-0.690763
681415.0506-1.05057
691314.1296-1.12964
701513.65061.34942
711714.1352.865
721414.4705-0.470545
731114.1633-3.16329
74915.7505-6.75046
75713.2542-6.25419
761311.58751.41251
771516.7713-1.77127
781212.3985-0.398535
791514.25610.743883
801412.2351.76498
811616.2531-0.253063
821415.5304-1.53043
831311.09251.90749
841617.2538-1.25383
851310.27962.72044
861614.60141.39863
871614.95151.04847
881620.7886-4.78863
891012.2311-2.23109
901214.4614-2.46137
911214.2236-2.22364
921212.4416-0.441582
93128.179773.82023
941917.13861.86145
951415.1509-1.15086
961312.14070.859332
971615.28440.715649
981517.1984-2.19837
991218.0122-6.01221
100812.8246-4.82465
101108.616961.38304
1021614.98541.01459
1031618.5997-2.5997
104106.770273.22973
1051820.5573-2.55725
1061210.06991.9301
1071620.3236-4.32364
108109.879110.120886
1091416.6517-2.65175
1101215.7606-3.76056
1111111.0621-0.0621112
1121523.0083-8.00835
11375.419161.58084
1141612.62793.37209
1151613.93522.06475
1161614.78691.21311
1171618.95-2.94997
1181210.64781.35217
1191515.9075-0.907534
1201414.3014-0.301403
1211513.70621.29375
1221617.5815-1.58153
1231317.5192-4.51922
124108.225841.77416
1251716.49880.501196
1261511.54133.45874
1271815.5022.49801
1281610.71355.28647
1292019.84910.150891
1301613.29842.70161
1311714.80472.19528
1321615.78270.217258
1331516.3105-1.31049
1341312.16320.836802
1351613.50562.49438
1361615.58440.415607
1371613.46782.53223
1381711.33265.66736
1392020.8291-0.829139
1401412.23881.76117
1411722.6436-5.64362
14264.309161.69084
1431616.0428-0.0427918
1441513.22481.77516
1451614.79821.2018
1461616.2764-0.276433
1471414.2539-0.253875
1481614.76971.23027
1491614.69371.30627
1501616.3328-0.332803
1511414.3074-0.307384
1521412.97671.02328
1531615.06850.931473
1541614.50051.49949
1551514.57360.426423
1561615.52750.472518
1571614.10291.89709
1581817.57520.424776
1591514.50540.494557
1601613.7562.24404
1611614.27531.72469
1621613.93312.06694
1631717.3928-0.392792
1641411.41872.58128
1651823.7694-5.76938
16696.877272.12273
1671515.3459-0.345917
1681413.61180.388158
1691517.6194-2.61938
1701311.23211.76794
1711612.0983.90197
1722020.1793-0.179284
1731416.5503-2.55035
1741211.69940.300596
1751514.64040.359555
1761514.34270.657344
1771513.15611.8439
1781618.2603-2.26027
179119.417591.58241
1801622.3439-6.34394
181710.1485-3.14847
1821115.9147-4.91469
18398.66680.333199
1841513.81811.1819
1851614.4731.52695
1861413.5240.476018
1871516.7123-1.71228
1881314.7527-1.75266
1891315.6533-2.65333
1901210.19761.80239
1911616.1822-0.182161
1921412.97211.02792
1931617.0612-1.06118
1941414.1689-0.168947
1951519.0339-4.03392
196107.908312.09169
1971616.1887-0.188693
1981411.93732.06269
1991618.3698-2.36975
2001211.58190.41806
2011613.37952.62055
2021616.7038-0.703831
2031515.8687-0.868693
2041412.04081.95923
2051618.9795-2.9795
206119.966511.03349
2071511.44453.55545
2081818.3701-0.370061
2091320.1581-7.15808
210714.1192-7.11915
21174.378262.62174
2121713.68273.31726
2131817.74430.255748
2141521.3749-6.37487
21589.65274-1.65274
2161314.0902-1.09023
2171311.60561.39437
2181512.05632.94372
2191815.69662.30335
2201616.6145-0.614474
2211413.74320.256777
222159.865075.13493
2231917.67461.32543
2241617.8076-1.80764
2251210.40811.59186
2261618.0604-2.06035
2271110.21980.780201
2281616.0015-0.00152671
2291511.13133.86873
2301918.59030.409691
2311516.3911-1.39109
2321414.6967-0.696716
2331412.04261.95736
2341715.20351.79651
2351610.48735.51272
2362018.49591.50411
2371621.1124-5.11236
238910.3727-1.37272
2391312.20810.791868
2401511.11263.88738
2411918.62070.379283
2421612.823.17995
2431715.97881.02125
2441620.5035-4.50345
245912.0544-3.05439
2461111.5538-0.553797
247149.442674.55733
2481919.0483-0.0482623
2491314.1713-1.17127
2501414.0591-0.059062
2511514.42420.575842
2521515.2417-0.241655
2531412.14611.8539
2541610.41645.58362
2551717.6583-0.658317
2561212.1212-0.121159
2571512.33542.6646
2581716.42010.57987
2591518.8858-3.88581
260107.938982.06102
2611614.9161.08404
2621518.3972-3.39721
263118.062172.93783
2641614.65971.34034
2651614.67311.32686
2661616.4897-0.489743
2671414.0443-0.0443222
2681413.69680.303174
2691615.5180.482018
2701612.84133.15872
2711818.8241-0.824118
272147.935316.06469
2732019.58430.415697
2741514.00850.991459
2751615.14420.855784
2761614.33621.66381
2771618.4281-2.42807
2781216.7978-4.79776
2798NANA

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 13 & 13.422 & -0.421956 \tabularnewline
2 & 8 & 14.9275 & -6.92755 \tabularnewline
3 & 14 & 13.8659 & 0.134071 \tabularnewline
4 & 16 & 15.0754 & 0.924615 \tabularnewline
5 & 14 & 14.0864 & -0.0863713 \tabularnewline
6 & 13 & 14.0313 & -1.03127 \tabularnewline
7 & 15 & 13.9891 & 1.01088 \tabularnewline
8 & 13 & 13.6871 & -0.687097 \tabularnewline
9 & 20 & 15.8784 & 4.12158 \tabularnewline
10 & 17 & 15.9629 & 1.03706 \tabularnewline
11 & 15 & 14.0819 & 0.91808 \tabularnewline
12 & 16 & 15.3942 & 0.605837 \tabularnewline
13 & 12 & 13.6704 & -1.67036 \tabularnewline
14 & 17 & 14.656 & 2.34399 \tabularnewline
15 & 11 & 14.9735 & -3.97348 \tabularnewline
16 & 16 & 14.173 & 1.827 \tabularnewline
17 & 16 & 13.9448 & 2.05522 \tabularnewline
18 & 15 & 14.5125 & 0.487516 \tabularnewline
19 & 13 & 14.5822 & -1.58218 \tabularnewline
20 & 14 & 15.1051 & -1.10511 \tabularnewline
21 & 19 & 14.9128 & 4.08722 \tabularnewline
22 & 16 & 14.7361 & 1.26385 \tabularnewline
23 & 17 & 14.5621 & 2.43792 \tabularnewline
24 & 10 & 14.698 & -4.69803 \tabularnewline
25 & 15 & 14.576 & 0.423991 \tabularnewline
26 & 14 & 14.3951 & -0.395067 \tabularnewline
27 & 14 & 14.598 & -0.598 \tabularnewline
28 & 16 & 14.017 & 1.98301 \tabularnewline
29 & 15 & 15.1126 & -0.112608 \tabularnewline
30 & 17 & 14.2427 & 2.75733 \tabularnewline
31 & 14 & 12.5156 & 1.48442 \tabularnewline
32 & 16 & 13.9519 & 2.04805 \tabularnewline
33 & 15 & 14.2513 & 0.748712 \tabularnewline
34 & 16 & 13.6626 & 2.33735 \tabularnewline
35 & 16 & 13.824 & 2.17602 \tabularnewline
36 & 10 & 14.5025 & -4.50249 \tabularnewline
37 & 8 & 14.4356 & -6.43557 \tabularnewline
38 & 17 & 14.3084 & 2.69157 \tabularnewline
39 & 14 & 14.8589 & -0.858946 \tabularnewline
40 & 10 & 13.8895 & -3.88951 \tabularnewline
41 & 14 & 13.8691 & 0.130912 \tabularnewline
42 & 12 & 14.4352 & -2.43524 \tabularnewline
43 & 16 & 14.357 & 1.64299 \tabularnewline
44 & 16 & 13.1179 & 2.8821 \tabularnewline
45 & 16 & 12.8871 & 3.11292 \tabularnewline
46 & 8 & 15.4133 & -7.41333 \tabularnewline
47 & 16 & 14.2007 & 1.79933 \tabularnewline
48 & 15 & 14.7893 & 0.210657 \tabularnewline
49 & 8 & 15.1442 & -7.14424 \tabularnewline
50 & 13 & 14.2931 & -1.29315 \tabularnewline
51 & 14 & 14.4589 & -0.45893 \tabularnewline
52 & 13 & 13.8316 & -0.831626 \tabularnewline
53 & 16 & 14.0809 & 1.91914 \tabularnewline
54 & 19 & 15.2082 & 3.79181 \tabularnewline
55 & 19 & 15.2475 & 3.75255 \tabularnewline
56 & 14 & 14.606 & -0.606026 \tabularnewline
57 & 15 & 12.9929 & 2.0071 \tabularnewline
58 & 13 & 13.8812 & -0.881154 \tabularnewline
59 & 10 & 13.9959 & -3.9959 \tabularnewline
60 & 16 & 14.3948 & 1.60515 \tabularnewline
61 & 15 & 14.9939 & 0.00613505 \tabularnewline
62 & 11 & 14.5391 & -3.53912 \tabularnewline
63 & 9 & 12.239 & -3.23896 \tabularnewline
64 & 16 & 14.1515 & 1.84854 \tabularnewline
65 & 12 & 13.9969 & -1.99691 \tabularnewline
66 & 12 & 13.4897 & -1.4897 \tabularnewline
67 & 14 & 14.6908 & -0.690763 \tabularnewline
68 & 14 & 15.0506 & -1.05057 \tabularnewline
69 & 13 & 14.1296 & -1.12964 \tabularnewline
70 & 15 & 13.6506 & 1.34942 \tabularnewline
71 & 17 & 14.135 & 2.865 \tabularnewline
72 & 14 & 14.4705 & -0.470545 \tabularnewline
73 & 11 & 14.1633 & -3.16329 \tabularnewline
74 & 9 & 15.7505 & -6.75046 \tabularnewline
75 & 7 & 13.2542 & -6.25419 \tabularnewline
76 & 13 & 11.5875 & 1.41251 \tabularnewline
77 & 15 & 16.7713 & -1.77127 \tabularnewline
78 & 12 & 12.3985 & -0.398535 \tabularnewline
79 & 15 & 14.2561 & 0.743883 \tabularnewline
80 & 14 & 12.235 & 1.76498 \tabularnewline
81 & 16 & 16.2531 & -0.253063 \tabularnewline
82 & 14 & 15.5304 & -1.53043 \tabularnewline
83 & 13 & 11.0925 & 1.90749 \tabularnewline
84 & 16 & 17.2538 & -1.25383 \tabularnewline
85 & 13 & 10.2796 & 2.72044 \tabularnewline
86 & 16 & 14.6014 & 1.39863 \tabularnewline
87 & 16 & 14.9515 & 1.04847 \tabularnewline
88 & 16 & 20.7886 & -4.78863 \tabularnewline
89 & 10 & 12.2311 & -2.23109 \tabularnewline
90 & 12 & 14.4614 & -2.46137 \tabularnewline
91 & 12 & 14.2236 & -2.22364 \tabularnewline
92 & 12 & 12.4416 & -0.441582 \tabularnewline
93 & 12 & 8.17977 & 3.82023 \tabularnewline
94 & 19 & 17.1386 & 1.86145 \tabularnewline
95 & 14 & 15.1509 & -1.15086 \tabularnewline
96 & 13 & 12.1407 & 0.859332 \tabularnewline
97 & 16 & 15.2844 & 0.715649 \tabularnewline
98 & 15 & 17.1984 & -2.19837 \tabularnewline
99 & 12 & 18.0122 & -6.01221 \tabularnewline
100 & 8 & 12.8246 & -4.82465 \tabularnewline
101 & 10 & 8.61696 & 1.38304 \tabularnewline
102 & 16 & 14.9854 & 1.01459 \tabularnewline
103 & 16 & 18.5997 & -2.5997 \tabularnewline
104 & 10 & 6.77027 & 3.22973 \tabularnewline
105 & 18 & 20.5573 & -2.55725 \tabularnewline
106 & 12 & 10.0699 & 1.9301 \tabularnewline
107 & 16 & 20.3236 & -4.32364 \tabularnewline
108 & 10 & 9.87911 & 0.120886 \tabularnewline
109 & 14 & 16.6517 & -2.65175 \tabularnewline
110 & 12 & 15.7606 & -3.76056 \tabularnewline
111 & 11 & 11.0621 & -0.0621112 \tabularnewline
112 & 15 & 23.0083 & -8.00835 \tabularnewline
113 & 7 & 5.41916 & 1.58084 \tabularnewline
114 & 16 & 12.6279 & 3.37209 \tabularnewline
115 & 16 & 13.9352 & 2.06475 \tabularnewline
116 & 16 & 14.7869 & 1.21311 \tabularnewline
117 & 16 & 18.95 & -2.94997 \tabularnewline
118 & 12 & 10.6478 & 1.35217 \tabularnewline
119 & 15 & 15.9075 & -0.907534 \tabularnewline
120 & 14 & 14.3014 & -0.301403 \tabularnewline
121 & 15 & 13.7062 & 1.29375 \tabularnewline
122 & 16 & 17.5815 & -1.58153 \tabularnewline
123 & 13 & 17.5192 & -4.51922 \tabularnewline
124 & 10 & 8.22584 & 1.77416 \tabularnewline
125 & 17 & 16.4988 & 0.501196 \tabularnewline
126 & 15 & 11.5413 & 3.45874 \tabularnewline
127 & 18 & 15.502 & 2.49801 \tabularnewline
128 & 16 & 10.7135 & 5.28647 \tabularnewline
129 & 20 & 19.8491 & 0.150891 \tabularnewline
130 & 16 & 13.2984 & 2.70161 \tabularnewline
131 & 17 & 14.8047 & 2.19528 \tabularnewline
132 & 16 & 15.7827 & 0.217258 \tabularnewline
133 & 15 & 16.3105 & -1.31049 \tabularnewline
134 & 13 & 12.1632 & 0.836802 \tabularnewline
135 & 16 & 13.5056 & 2.49438 \tabularnewline
136 & 16 & 15.5844 & 0.415607 \tabularnewline
137 & 16 & 13.4678 & 2.53223 \tabularnewline
138 & 17 & 11.3326 & 5.66736 \tabularnewline
139 & 20 & 20.8291 & -0.829139 \tabularnewline
140 & 14 & 12.2388 & 1.76117 \tabularnewline
141 & 17 & 22.6436 & -5.64362 \tabularnewline
142 & 6 & 4.30916 & 1.69084 \tabularnewline
143 & 16 & 16.0428 & -0.0427918 \tabularnewline
144 & 15 & 13.2248 & 1.77516 \tabularnewline
145 & 16 & 14.7982 & 1.2018 \tabularnewline
146 & 16 & 16.2764 & -0.276433 \tabularnewline
147 & 14 & 14.2539 & -0.253875 \tabularnewline
148 & 16 & 14.7697 & 1.23027 \tabularnewline
149 & 16 & 14.6937 & 1.30627 \tabularnewline
150 & 16 & 16.3328 & -0.332803 \tabularnewline
151 & 14 & 14.3074 & -0.307384 \tabularnewline
152 & 14 & 12.9767 & 1.02328 \tabularnewline
153 & 16 & 15.0685 & 0.931473 \tabularnewline
154 & 16 & 14.5005 & 1.49949 \tabularnewline
155 & 15 & 14.5736 & 0.426423 \tabularnewline
156 & 16 & 15.5275 & 0.472518 \tabularnewline
157 & 16 & 14.1029 & 1.89709 \tabularnewline
158 & 18 & 17.5752 & 0.424776 \tabularnewline
159 & 15 & 14.5054 & 0.494557 \tabularnewline
160 & 16 & 13.756 & 2.24404 \tabularnewline
161 & 16 & 14.2753 & 1.72469 \tabularnewline
162 & 16 & 13.9331 & 2.06694 \tabularnewline
163 & 17 & 17.3928 & -0.392792 \tabularnewline
164 & 14 & 11.4187 & 2.58128 \tabularnewline
165 & 18 & 23.7694 & -5.76938 \tabularnewline
166 & 9 & 6.87727 & 2.12273 \tabularnewline
167 & 15 & 15.3459 & -0.345917 \tabularnewline
168 & 14 & 13.6118 & 0.388158 \tabularnewline
169 & 15 & 17.6194 & -2.61938 \tabularnewline
170 & 13 & 11.2321 & 1.76794 \tabularnewline
171 & 16 & 12.098 & 3.90197 \tabularnewline
172 & 20 & 20.1793 & -0.179284 \tabularnewline
173 & 14 & 16.5503 & -2.55035 \tabularnewline
174 & 12 & 11.6994 & 0.300596 \tabularnewline
175 & 15 & 14.6404 & 0.359555 \tabularnewline
176 & 15 & 14.3427 & 0.657344 \tabularnewline
177 & 15 & 13.1561 & 1.8439 \tabularnewline
178 & 16 & 18.2603 & -2.26027 \tabularnewline
179 & 11 & 9.41759 & 1.58241 \tabularnewline
180 & 16 & 22.3439 & -6.34394 \tabularnewline
181 & 7 & 10.1485 & -3.14847 \tabularnewline
182 & 11 & 15.9147 & -4.91469 \tabularnewline
183 & 9 & 8.6668 & 0.333199 \tabularnewline
184 & 15 & 13.8181 & 1.1819 \tabularnewline
185 & 16 & 14.473 & 1.52695 \tabularnewline
186 & 14 & 13.524 & 0.476018 \tabularnewline
187 & 15 & 16.7123 & -1.71228 \tabularnewline
188 & 13 & 14.7527 & -1.75266 \tabularnewline
189 & 13 & 15.6533 & -2.65333 \tabularnewline
190 & 12 & 10.1976 & 1.80239 \tabularnewline
191 & 16 & 16.1822 & -0.182161 \tabularnewline
192 & 14 & 12.9721 & 1.02792 \tabularnewline
193 & 16 & 17.0612 & -1.06118 \tabularnewline
194 & 14 & 14.1689 & -0.168947 \tabularnewline
195 & 15 & 19.0339 & -4.03392 \tabularnewline
196 & 10 & 7.90831 & 2.09169 \tabularnewline
197 & 16 & 16.1887 & -0.188693 \tabularnewline
198 & 14 & 11.9373 & 2.06269 \tabularnewline
199 & 16 & 18.3698 & -2.36975 \tabularnewline
200 & 12 & 11.5819 & 0.41806 \tabularnewline
201 & 16 & 13.3795 & 2.62055 \tabularnewline
202 & 16 & 16.7038 & -0.703831 \tabularnewline
203 & 15 & 15.8687 & -0.868693 \tabularnewline
204 & 14 & 12.0408 & 1.95923 \tabularnewline
205 & 16 & 18.9795 & -2.9795 \tabularnewline
206 & 11 & 9.96651 & 1.03349 \tabularnewline
207 & 15 & 11.4445 & 3.55545 \tabularnewline
208 & 18 & 18.3701 & -0.370061 \tabularnewline
209 & 13 & 20.1581 & -7.15808 \tabularnewline
210 & 7 & 14.1192 & -7.11915 \tabularnewline
211 & 7 & 4.37826 & 2.62174 \tabularnewline
212 & 17 & 13.6827 & 3.31726 \tabularnewline
213 & 18 & 17.7443 & 0.255748 \tabularnewline
214 & 15 & 21.3749 & -6.37487 \tabularnewline
215 & 8 & 9.65274 & -1.65274 \tabularnewline
216 & 13 & 14.0902 & -1.09023 \tabularnewline
217 & 13 & 11.6056 & 1.39437 \tabularnewline
218 & 15 & 12.0563 & 2.94372 \tabularnewline
219 & 18 & 15.6966 & 2.30335 \tabularnewline
220 & 16 & 16.6145 & -0.614474 \tabularnewline
221 & 14 & 13.7432 & 0.256777 \tabularnewline
222 & 15 & 9.86507 & 5.13493 \tabularnewline
223 & 19 & 17.6746 & 1.32543 \tabularnewline
224 & 16 & 17.8076 & -1.80764 \tabularnewline
225 & 12 & 10.4081 & 1.59186 \tabularnewline
226 & 16 & 18.0604 & -2.06035 \tabularnewline
227 & 11 & 10.2198 & 0.780201 \tabularnewline
228 & 16 & 16.0015 & -0.00152671 \tabularnewline
229 & 15 & 11.1313 & 3.86873 \tabularnewline
230 & 19 & 18.5903 & 0.409691 \tabularnewline
231 & 15 & 16.3911 & -1.39109 \tabularnewline
232 & 14 & 14.6967 & -0.696716 \tabularnewline
233 & 14 & 12.0426 & 1.95736 \tabularnewline
234 & 17 & 15.2035 & 1.79651 \tabularnewline
235 & 16 & 10.4873 & 5.51272 \tabularnewline
236 & 20 & 18.4959 & 1.50411 \tabularnewline
237 & 16 & 21.1124 & -5.11236 \tabularnewline
238 & 9 & 10.3727 & -1.37272 \tabularnewline
239 & 13 & 12.2081 & 0.791868 \tabularnewline
240 & 15 & 11.1126 & 3.88738 \tabularnewline
241 & 19 & 18.6207 & 0.379283 \tabularnewline
242 & 16 & 12.82 & 3.17995 \tabularnewline
243 & 17 & 15.9788 & 1.02125 \tabularnewline
244 & 16 & 20.5035 & -4.50345 \tabularnewline
245 & 9 & 12.0544 & -3.05439 \tabularnewline
246 & 11 & 11.5538 & -0.553797 \tabularnewline
247 & 14 & 9.44267 & 4.55733 \tabularnewline
248 & 19 & 19.0483 & -0.0482623 \tabularnewline
249 & 13 & 14.1713 & -1.17127 \tabularnewline
250 & 14 & 14.0591 & -0.059062 \tabularnewline
251 & 15 & 14.4242 & 0.575842 \tabularnewline
252 & 15 & 15.2417 & -0.241655 \tabularnewline
253 & 14 & 12.1461 & 1.8539 \tabularnewline
254 & 16 & 10.4164 & 5.58362 \tabularnewline
255 & 17 & 17.6583 & -0.658317 \tabularnewline
256 & 12 & 12.1212 & -0.121159 \tabularnewline
257 & 15 & 12.3354 & 2.6646 \tabularnewline
258 & 17 & 16.4201 & 0.57987 \tabularnewline
259 & 15 & 18.8858 & -3.88581 \tabularnewline
260 & 10 & 7.93898 & 2.06102 \tabularnewline
261 & 16 & 14.916 & 1.08404 \tabularnewline
262 & 15 & 18.3972 & -3.39721 \tabularnewline
263 & 11 & 8.06217 & 2.93783 \tabularnewline
264 & 16 & 14.6597 & 1.34034 \tabularnewline
265 & 16 & 14.6731 & 1.32686 \tabularnewline
266 & 16 & 16.4897 & -0.489743 \tabularnewline
267 & 14 & 14.0443 & -0.0443222 \tabularnewline
268 & 14 & 13.6968 & 0.303174 \tabularnewline
269 & 16 & 15.518 & 0.482018 \tabularnewline
270 & 16 & 12.8413 & 3.15872 \tabularnewline
271 & 18 & 18.8241 & -0.824118 \tabularnewline
272 & 14 & 7.93531 & 6.06469 \tabularnewline
273 & 20 & 19.5843 & 0.415697 \tabularnewline
274 & 15 & 14.0085 & 0.991459 \tabularnewline
275 & 16 & 15.1442 & 0.855784 \tabularnewline
276 & 16 & 14.3362 & 1.66381 \tabularnewline
277 & 16 & 18.4281 & -2.42807 \tabularnewline
278 & 12 & 16.7978 & -4.79776 \tabularnewline
279 & 8 & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=263722&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]13[/C][C]13.422[/C][C]-0.421956[/C][/ROW]
[ROW][C]2[/C][C]8[/C][C]14.9275[/C][C]-6.92755[/C][/ROW]
[ROW][C]3[/C][C]14[/C][C]13.8659[/C][C]0.134071[/C][/ROW]
[ROW][C]4[/C][C]16[/C][C]15.0754[/C][C]0.924615[/C][/ROW]
[ROW][C]5[/C][C]14[/C][C]14.0864[/C][C]-0.0863713[/C][/ROW]
[ROW][C]6[/C][C]13[/C][C]14.0313[/C][C]-1.03127[/C][/ROW]
[ROW][C]7[/C][C]15[/C][C]13.9891[/C][C]1.01088[/C][/ROW]
[ROW][C]8[/C][C]13[/C][C]13.6871[/C][C]-0.687097[/C][/ROW]
[ROW][C]9[/C][C]20[/C][C]15.8784[/C][C]4.12158[/C][/ROW]
[ROW][C]10[/C][C]17[/C][C]15.9629[/C][C]1.03706[/C][/ROW]
[ROW][C]11[/C][C]15[/C][C]14.0819[/C][C]0.91808[/C][/ROW]
[ROW][C]12[/C][C]16[/C][C]15.3942[/C][C]0.605837[/C][/ROW]
[ROW][C]13[/C][C]12[/C][C]13.6704[/C][C]-1.67036[/C][/ROW]
[ROW][C]14[/C][C]17[/C][C]14.656[/C][C]2.34399[/C][/ROW]
[ROW][C]15[/C][C]11[/C][C]14.9735[/C][C]-3.97348[/C][/ROW]
[ROW][C]16[/C][C]16[/C][C]14.173[/C][C]1.827[/C][/ROW]
[ROW][C]17[/C][C]16[/C][C]13.9448[/C][C]2.05522[/C][/ROW]
[ROW][C]18[/C][C]15[/C][C]14.5125[/C][C]0.487516[/C][/ROW]
[ROW][C]19[/C][C]13[/C][C]14.5822[/C][C]-1.58218[/C][/ROW]
[ROW][C]20[/C][C]14[/C][C]15.1051[/C][C]-1.10511[/C][/ROW]
[ROW][C]21[/C][C]19[/C][C]14.9128[/C][C]4.08722[/C][/ROW]
[ROW][C]22[/C][C]16[/C][C]14.7361[/C][C]1.26385[/C][/ROW]
[ROW][C]23[/C][C]17[/C][C]14.5621[/C][C]2.43792[/C][/ROW]
[ROW][C]24[/C][C]10[/C][C]14.698[/C][C]-4.69803[/C][/ROW]
[ROW][C]25[/C][C]15[/C][C]14.576[/C][C]0.423991[/C][/ROW]
[ROW][C]26[/C][C]14[/C][C]14.3951[/C][C]-0.395067[/C][/ROW]
[ROW][C]27[/C][C]14[/C][C]14.598[/C][C]-0.598[/C][/ROW]
[ROW][C]28[/C][C]16[/C][C]14.017[/C][C]1.98301[/C][/ROW]
[ROW][C]29[/C][C]15[/C][C]15.1126[/C][C]-0.112608[/C][/ROW]
[ROW][C]30[/C][C]17[/C][C]14.2427[/C][C]2.75733[/C][/ROW]
[ROW][C]31[/C][C]14[/C][C]12.5156[/C][C]1.48442[/C][/ROW]
[ROW][C]32[/C][C]16[/C][C]13.9519[/C][C]2.04805[/C][/ROW]
[ROW][C]33[/C][C]15[/C][C]14.2513[/C][C]0.748712[/C][/ROW]
[ROW][C]34[/C][C]16[/C][C]13.6626[/C][C]2.33735[/C][/ROW]
[ROW][C]35[/C][C]16[/C][C]13.824[/C][C]2.17602[/C][/ROW]
[ROW][C]36[/C][C]10[/C][C]14.5025[/C][C]-4.50249[/C][/ROW]
[ROW][C]37[/C][C]8[/C][C]14.4356[/C][C]-6.43557[/C][/ROW]
[ROW][C]38[/C][C]17[/C][C]14.3084[/C][C]2.69157[/C][/ROW]
[ROW][C]39[/C][C]14[/C][C]14.8589[/C][C]-0.858946[/C][/ROW]
[ROW][C]40[/C][C]10[/C][C]13.8895[/C][C]-3.88951[/C][/ROW]
[ROW][C]41[/C][C]14[/C][C]13.8691[/C][C]0.130912[/C][/ROW]
[ROW][C]42[/C][C]12[/C][C]14.4352[/C][C]-2.43524[/C][/ROW]
[ROW][C]43[/C][C]16[/C][C]14.357[/C][C]1.64299[/C][/ROW]
[ROW][C]44[/C][C]16[/C][C]13.1179[/C][C]2.8821[/C][/ROW]
[ROW][C]45[/C][C]16[/C][C]12.8871[/C][C]3.11292[/C][/ROW]
[ROW][C]46[/C][C]8[/C][C]15.4133[/C][C]-7.41333[/C][/ROW]
[ROW][C]47[/C][C]16[/C][C]14.2007[/C][C]1.79933[/C][/ROW]
[ROW][C]48[/C][C]15[/C][C]14.7893[/C][C]0.210657[/C][/ROW]
[ROW][C]49[/C][C]8[/C][C]15.1442[/C][C]-7.14424[/C][/ROW]
[ROW][C]50[/C][C]13[/C][C]14.2931[/C][C]-1.29315[/C][/ROW]
[ROW][C]51[/C][C]14[/C][C]14.4589[/C][C]-0.45893[/C][/ROW]
[ROW][C]52[/C][C]13[/C][C]13.8316[/C][C]-0.831626[/C][/ROW]
[ROW][C]53[/C][C]16[/C][C]14.0809[/C][C]1.91914[/C][/ROW]
[ROW][C]54[/C][C]19[/C][C]15.2082[/C][C]3.79181[/C][/ROW]
[ROW][C]55[/C][C]19[/C][C]15.2475[/C][C]3.75255[/C][/ROW]
[ROW][C]56[/C][C]14[/C][C]14.606[/C][C]-0.606026[/C][/ROW]
[ROW][C]57[/C][C]15[/C][C]12.9929[/C][C]2.0071[/C][/ROW]
[ROW][C]58[/C][C]13[/C][C]13.8812[/C][C]-0.881154[/C][/ROW]
[ROW][C]59[/C][C]10[/C][C]13.9959[/C][C]-3.9959[/C][/ROW]
[ROW][C]60[/C][C]16[/C][C]14.3948[/C][C]1.60515[/C][/ROW]
[ROW][C]61[/C][C]15[/C][C]14.9939[/C][C]0.00613505[/C][/ROW]
[ROW][C]62[/C][C]11[/C][C]14.5391[/C][C]-3.53912[/C][/ROW]
[ROW][C]63[/C][C]9[/C][C]12.239[/C][C]-3.23896[/C][/ROW]
[ROW][C]64[/C][C]16[/C][C]14.1515[/C][C]1.84854[/C][/ROW]
[ROW][C]65[/C][C]12[/C][C]13.9969[/C][C]-1.99691[/C][/ROW]
[ROW][C]66[/C][C]12[/C][C]13.4897[/C][C]-1.4897[/C][/ROW]
[ROW][C]67[/C][C]14[/C][C]14.6908[/C][C]-0.690763[/C][/ROW]
[ROW][C]68[/C][C]14[/C][C]15.0506[/C][C]-1.05057[/C][/ROW]
[ROW][C]69[/C][C]13[/C][C]14.1296[/C][C]-1.12964[/C][/ROW]
[ROW][C]70[/C][C]15[/C][C]13.6506[/C][C]1.34942[/C][/ROW]
[ROW][C]71[/C][C]17[/C][C]14.135[/C][C]2.865[/C][/ROW]
[ROW][C]72[/C][C]14[/C][C]14.4705[/C][C]-0.470545[/C][/ROW]
[ROW][C]73[/C][C]11[/C][C]14.1633[/C][C]-3.16329[/C][/ROW]
[ROW][C]74[/C][C]9[/C][C]15.7505[/C][C]-6.75046[/C][/ROW]
[ROW][C]75[/C][C]7[/C][C]13.2542[/C][C]-6.25419[/C][/ROW]
[ROW][C]76[/C][C]13[/C][C]11.5875[/C][C]1.41251[/C][/ROW]
[ROW][C]77[/C][C]15[/C][C]16.7713[/C][C]-1.77127[/C][/ROW]
[ROW][C]78[/C][C]12[/C][C]12.3985[/C][C]-0.398535[/C][/ROW]
[ROW][C]79[/C][C]15[/C][C]14.2561[/C][C]0.743883[/C][/ROW]
[ROW][C]80[/C][C]14[/C][C]12.235[/C][C]1.76498[/C][/ROW]
[ROW][C]81[/C][C]16[/C][C]16.2531[/C][C]-0.253063[/C][/ROW]
[ROW][C]82[/C][C]14[/C][C]15.5304[/C][C]-1.53043[/C][/ROW]
[ROW][C]83[/C][C]13[/C][C]11.0925[/C][C]1.90749[/C][/ROW]
[ROW][C]84[/C][C]16[/C][C]17.2538[/C][C]-1.25383[/C][/ROW]
[ROW][C]85[/C][C]13[/C][C]10.2796[/C][C]2.72044[/C][/ROW]
[ROW][C]86[/C][C]16[/C][C]14.6014[/C][C]1.39863[/C][/ROW]
[ROW][C]87[/C][C]16[/C][C]14.9515[/C][C]1.04847[/C][/ROW]
[ROW][C]88[/C][C]16[/C][C]20.7886[/C][C]-4.78863[/C][/ROW]
[ROW][C]89[/C][C]10[/C][C]12.2311[/C][C]-2.23109[/C][/ROW]
[ROW][C]90[/C][C]12[/C][C]14.4614[/C][C]-2.46137[/C][/ROW]
[ROW][C]91[/C][C]12[/C][C]14.2236[/C][C]-2.22364[/C][/ROW]
[ROW][C]92[/C][C]12[/C][C]12.4416[/C][C]-0.441582[/C][/ROW]
[ROW][C]93[/C][C]12[/C][C]8.17977[/C][C]3.82023[/C][/ROW]
[ROW][C]94[/C][C]19[/C][C]17.1386[/C][C]1.86145[/C][/ROW]
[ROW][C]95[/C][C]14[/C][C]15.1509[/C][C]-1.15086[/C][/ROW]
[ROW][C]96[/C][C]13[/C][C]12.1407[/C][C]0.859332[/C][/ROW]
[ROW][C]97[/C][C]16[/C][C]15.2844[/C][C]0.715649[/C][/ROW]
[ROW][C]98[/C][C]15[/C][C]17.1984[/C][C]-2.19837[/C][/ROW]
[ROW][C]99[/C][C]12[/C][C]18.0122[/C][C]-6.01221[/C][/ROW]
[ROW][C]100[/C][C]8[/C][C]12.8246[/C][C]-4.82465[/C][/ROW]
[ROW][C]101[/C][C]10[/C][C]8.61696[/C][C]1.38304[/C][/ROW]
[ROW][C]102[/C][C]16[/C][C]14.9854[/C][C]1.01459[/C][/ROW]
[ROW][C]103[/C][C]16[/C][C]18.5997[/C][C]-2.5997[/C][/ROW]
[ROW][C]104[/C][C]10[/C][C]6.77027[/C][C]3.22973[/C][/ROW]
[ROW][C]105[/C][C]18[/C][C]20.5573[/C][C]-2.55725[/C][/ROW]
[ROW][C]106[/C][C]12[/C][C]10.0699[/C][C]1.9301[/C][/ROW]
[ROW][C]107[/C][C]16[/C][C]20.3236[/C][C]-4.32364[/C][/ROW]
[ROW][C]108[/C][C]10[/C][C]9.87911[/C][C]0.120886[/C][/ROW]
[ROW][C]109[/C][C]14[/C][C]16.6517[/C][C]-2.65175[/C][/ROW]
[ROW][C]110[/C][C]12[/C][C]15.7606[/C][C]-3.76056[/C][/ROW]
[ROW][C]111[/C][C]11[/C][C]11.0621[/C][C]-0.0621112[/C][/ROW]
[ROW][C]112[/C][C]15[/C][C]23.0083[/C][C]-8.00835[/C][/ROW]
[ROW][C]113[/C][C]7[/C][C]5.41916[/C][C]1.58084[/C][/ROW]
[ROW][C]114[/C][C]16[/C][C]12.6279[/C][C]3.37209[/C][/ROW]
[ROW][C]115[/C][C]16[/C][C]13.9352[/C][C]2.06475[/C][/ROW]
[ROW][C]116[/C][C]16[/C][C]14.7869[/C][C]1.21311[/C][/ROW]
[ROW][C]117[/C][C]16[/C][C]18.95[/C][C]-2.94997[/C][/ROW]
[ROW][C]118[/C][C]12[/C][C]10.6478[/C][C]1.35217[/C][/ROW]
[ROW][C]119[/C][C]15[/C][C]15.9075[/C][C]-0.907534[/C][/ROW]
[ROW][C]120[/C][C]14[/C][C]14.3014[/C][C]-0.301403[/C][/ROW]
[ROW][C]121[/C][C]15[/C][C]13.7062[/C][C]1.29375[/C][/ROW]
[ROW][C]122[/C][C]16[/C][C]17.5815[/C][C]-1.58153[/C][/ROW]
[ROW][C]123[/C][C]13[/C][C]17.5192[/C][C]-4.51922[/C][/ROW]
[ROW][C]124[/C][C]10[/C][C]8.22584[/C][C]1.77416[/C][/ROW]
[ROW][C]125[/C][C]17[/C][C]16.4988[/C][C]0.501196[/C][/ROW]
[ROW][C]126[/C][C]15[/C][C]11.5413[/C][C]3.45874[/C][/ROW]
[ROW][C]127[/C][C]18[/C][C]15.502[/C][C]2.49801[/C][/ROW]
[ROW][C]128[/C][C]16[/C][C]10.7135[/C][C]5.28647[/C][/ROW]
[ROW][C]129[/C][C]20[/C][C]19.8491[/C][C]0.150891[/C][/ROW]
[ROW][C]130[/C][C]16[/C][C]13.2984[/C][C]2.70161[/C][/ROW]
[ROW][C]131[/C][C]17[/C][C]14.8047[/C][C]2.19528[/C][/ROW]
[ROW][C]132[/C][C]16[/C][C]15.7827[/C][C]0.217258[/C][/ROW]
[ROW][C]133[/C][C]15[/C][C]16.3105[/C][C]-1.31049[/C][/ROW]
[ROW][C]134[/C][C]13[/C][C]12.1632[/C][C]0.836802[/C][/ROW]
[ROW][C]135[/C][C]16[/C][C]13.5056[/C][C]2.49438[/C][/ROW]
[ROW][C]136[/C][C]16[/C][C]15.5844[/C][C]0.415607[/C][/ROW]
[ROW][C]137[/C][C]16[/C][C]13.4678[/C][C]2.53223[/C][/ROW]
[ROW][C]138[/C][C]17[/C][C]11.3326[/C][C]5.66736[/C][/ROW]
[ROW][C]139[/C][C]20[/C][C]20.8291[/C][C]-0.829139[/C][/ROW]
[ROW][C]140[/C][C]14[/C][C]12.2388[/C][C]1.76117[/C][/ROW]
[ROW][C]141[/C][C]17[/C][C]22.6436[/C][C]-5.64362[/C][/ROW]
[ROW][C]142[/C][C]6[/C][C]4.30916[/C][C]1.69084[/C][/ROW]
[ROW][C]143[/C][C]16[/C][C]16.0428[/C][C]-0.0427918[/C][/ROW]
[ROW][C]144[/C][C]15[/C][C]13.2248[/C][C]1.77516[/C][/ROW]
[ROW][C]145[/C][C]16[/C][C]14.7982[/C][C]1.2018[/C][/ROW]
[ROW][C]146[/C][C]16[/C][C]16.2764[/C][C]-0.276433[/C][/ROW]
[ROW][C]147[/C][C]14[/C][C]14.2539[/C][C]-0.253875[/C][/ROW]
[ROW][C]148[/C][C]16[/C][C]14.7697[/C][C]1.23027[/C][/ROW]
[ROW][C]149[/C][C]16[/C][C]14.6937[/C][C]1.30627[/C][/ROW]
[ROW][C]150[/C][C]16[/C][C]16.3328[/C][C]-0.332803[/C][/ROW]
[ROW][C]151[/C][C]14[/C][C]14.3074[/C][C]-0.307384[/C][/ROW]
[ROW][C]152[/C][C]14[/C][C]12.9767[/C][C]1.02328[/C][/ROW]
[ROW][C]153[/C][C]16[/C][C]15.0685[/C][C]0.931473[/C][/ROW]
[ROW][C]154[/C][C]16[/C][C]14.5005[/C][C]1.49949[/C][/ROW]
[ROW][C]155[/C][C]15[/C][C]14.5736[/C][C]0.426423[/C][/ROW]
[ROW][C]156[/C][C]16[/C][C]15.5275[/C][C]0.472518[/C][/ROW]
[ROW][C]157[/C][C]16[/C][C]14.1029[/C][C]1.89709[/C][/ROW]
[ROW][C]158[/C][C]18[/C][C]17.5752[/C][C]0.424776[/C][/ROW]
[ROW][C]159[/C][C]15[/C][C]14.5054[/C][C]0.494557[/C][/ROW]
[ROW][C]160[/C][C]16[/C][C]13.756[/C][C]2.24404[/C][/ROW]
[ROW][C]161[/C][C]16[/C][C]14.2753[/C][C]1.72469[/C][/ROW]
[ROW][C]162[/C][C]16[/C][C]13.9331[/C][C]2.06694[/C][/ROW]
[ROW][C]163[/C][C]17[/C][C]17.3928[/C][C]-0.392792[/C][/ROW]
[ROW][C]164[/C][C]14[/C][C]11.4187[/C][C]2.58128[/C][/ROW]
[ROW][C]165[/C][C]18[/C][C]23.7694[/C][C]-5.76938[/C][/ROW]
[ROW][C]166[/C][C]9[/C][C]6.87727[/C][C]2.12273[/C][/ROW]
[ROW][C]167[/C][C]15[/C][C]15.3459[/C][C]-0.345917[/C][/ROW]
[ROW][C]168[/C][C]14[/C][C]13.6118[/C][C]0.388158[/C][/ROW]
[ROW][C]169[/C][C]15[/C][C]17.6194[/C][C]-2.61938[/C][/ROW]
[ROW][C]170[/C][C]13[/C][C]11.2321[/C][C]1.76794[/C][/ROW]
[ROW][C]171[/C][C]16[/C][C]12.098[/C][C]3.90197[/C][/ROW]
[ROW][C]172[/C][C]20[/C][C]20.1793[/C][C]-0.179284[/C][/ROW]
[ROW][C]173[/C][C]14[/C][C]16.5503[/C][C]-2.55035[/C][/ROW]
[ROW][C]174[/C][C]12[/C][C]11.6994[/C][C]0.300596[/C][/ROW]
[ROW][C]175[/C][C]15[/C][C]14.6404[/C][C]0.359555[/C][/ROW]
[ROW][C]176[/C][C]15[/C][C]14.3427[/C][C]0.657344[/C][/ROW]
[ROW][C]177[/C][C]15[/C][C]13.1561[/C][C]1.8439[/C][/ROW]
[ROW][C]178[/C][C]16[/C][C]18.2603[/C][C]-2.26027[/C][/ROW]
[ROW][C]179[/C][C]11[/C][C]9.41759[/C][C]1.58241[/C][/ROW]
[ROW][C]180[/C][C]16[/C][C]22.3439[/C][C]-6.34394[/C][/ROW]
[ROW][C]181[/C][C]7[/C][C]10.1485[/C][C]-3.14847[/C][/ROW]
[ROW][C]182[/C][C]11[/C][C]15.9147[/C][C]-4.91469[/C][/ROW]
[ROW][C]183[/C][C]9[/C][C]8.6668[/C][C]0.333199[/C][/ROW]
[ROW][C]184[/C][C]15[/C][C]13.8181[/C][C]1.1819[/C][/ROW]
[ROW][C]185[/C][C]16[/C][C]14.473[/C][C]1.52695[/C][/ROW]
[ROW][C]186[/C][C]14[/C][C]13.524[/C][C]0.476018[/C][/ROW]
[ROW][C]187[/C][C]15[/C][C]16.7123[/C][C]-1.71228[/C][/ROW]
[ROW][C]188[/C][C]13[/C][C]14.7527[/C][C]-1.75266[/C][/ROW]
[ROW][C]189[/C][C]13[/C][C]15.6533[/C][C]-2.65333[/C][/ROW]
[ROW][C]190[/C][C]12[/C][C]10.1976[/C][C]1.80239[/C][/ROW]
[ROW][C]191[/C][C]16[/C][C]16.1822[/C][C]-0.182161[/C][/ROW]
[ROW][C]192[/C][C]14[/C][C]12.9721[/C][C]1.02792[/C][/ROW]
[ROW][C]193[/C][C]16[/C][C]17.0612[/C][C]-1.06118[/C][/ROW]
[ROW][C]194[/C][C]14[/C][C]14.1689[/C][C]-0.168947[/C][/ROW]
[ROW][C]195[/C][C]15[/C][C]19.0339[/C][C]-4.03392[/C][/ROW]
[ROW][C]196[/C][C]10[/C][C]7.90831[/C][C]2.09169[/C][/ROW]
[ROW][C]197[/C][C]16[/C][C]16.1887[/C][C]-0.188693[/C][/ROW]
[ROW][C]198[/C][C]14[/C][C]11.9373[/C][C]2.06269[/C][/ROW]
[ROW][C]199[/C][C]16[/C][C]18.3698[/C][C]-2.36975[/C][/ROW]
[ROW][C]200[/C][C]12[/C][C]11.5819[/C][C]0.41806[/C][/ROW]
[ROW][C]201[/C][C]16[/C][C]13.3795[/C][C]2.62055[/C][/ROW]
[ROW][C]202[/C][C]16[/C][C]16.7038[/C][C]-0.703831[/C][/ROW]
[ROW][C]203[/C][C]15[/C][C]15.8687[/C][C]-0.868693[/C][/ROW]
[ROW][C]204[/C][C]14[/C][C]12.0408[/C][C]1.95923[/C][/ROW]
[ROW][C]205[/C][C]16[/C][C]18.9795[/C][C]-2.9795[/C][/ROW]
[ROW][C]206[/C][C]11[/C][C]9.96651[/C][C]1.03349[/C][/ROW]
[ROW][C]207[/C][C]15[/C][C]11.4445[/C][C]3.55545[/C][/ROW]
[ROW][C]208[/C][C]18[/C][C]18.3701[/C][C]-0.370061[/C][/ROW]
[ROW][C]209[/C][C]13[/C][C]20.1581[/C][C]-7.15808[/C][/ROW]
[ROW][C]210[/C][C]7[/C][C]14.1192[/C][C]-7.11915[/C][/ROW]
[ROW][C]211[/C][C]7[/C][C]4.37826[/C][C]2.62174[/C][/ROW]
[ROW][C]212[/C][C]17[/C][C]13.6827[/C][C]3.31726[/C][/ROW]
[ROW][C]213[/C][C]18[/C][C]17.7443[/C][C]0.255748[/C][/ROW]
[ROW][C]214[/C][C]15[/C][C]21.3749[/C][C]-6.37487[/C][/ROW]
[ROW][C]215[/C][C]8[/C][C]9.65274[/C][C]-1.65274[/C][/ROW]
[ROW][C]216[/C][C]13[/C][C]14.0902[/C][C]-1.09023[/C][/ROW]
[ROW][C]217[/C][C]13[/C][C]11.6056[/C][C]1.39437[/C][/ROW]
[ROW][C]218[/C][C]15[/C][C]12.0563[/C][C]2.94372[/C][/ROW]
[ROW][C]219[/C][C]18[/C][C]15.6966[/C][C]2.30335[/C][/ROW]
[ROW][C]220[/C][C]16[/C][C]16.6145[/C][C]-0.614474[/C][/ROW]
[ROW][C]221[/C][C]14[/C][C]13.7432[/C][C]0.256777[/C][/ROW]
[ROW][C]222[/C][C]15[/C][C]9.86507[/C][C]5.13493[/C][/ROW]
[ROW][C]223[/C][C]19[/C][C]17.6746[/C][C]1.32543[/C][/ROW]
[ROW][C]224[/C][C]16[/C][C]17.8076[/C][C]-1.80764[/C][/ROW]
[ROW][C]225[/C][C]12[/C][C]10.4081[/C][C]1.59186[/C][/ROW]
[ROW][C]226[/C][C]16[/C][C]18.0604[/C][C]-2.06035[/C][/ROW]
[ROW][C]227[/C][C]11[/C][C]10.2198[/C][C]0.780201[/C][/ROW]
[ROW][C]228[/C][C]16[/C][C]16.0015[/C][C]-0.00152671[/C][/ROW]
[ROW][C]229[/C][C]15[/C][C]11.1313[/C][C]3.86873[/C][/ROW]
[ROW][C]230[/C][C]19[/C][C]18.5903[/C][C]0.409691[/C][/ROW]
[ROW][C]231[/C][C]15[/C][C]16.3911[/C][C]-1.39109[/C][/ROW]
[ROW][C]232[/C][C]14[/C][C]14.6967[/C][C]-0.696716[/C][/ROW]
[ROW][C]233[/C][C]14[/C][C]12.0426[/C][C]1.95736[/C][/ROW]
[ROW][C]234[/C][C]17[/C][C]15.2035[/C][C]1.79651[/C][/ROW]
[ROW][C]235[/C][C]16[/C][C]10.4873[/C][C]5.51272[/C][/ROW]
[ROW][C]236[/C][C]20[/C][C]18.4959[/C][C]1.50411[/C][/ROW]
[ROW][C]237[/C][C]16[/C][C]21.1124[/C][C]-5.11236[/C][/ROW]
[ROW][C]238[/C][C]9[/C][C]10.3727[/C][C]-1.37272[/C][/ROW]
[ROW][C]239[/C][C]13[/C][C]12.2081[/C][C]0.791868[/C][/ROW]
[ROW][C]240[/C][C]15[/C][C]11.1126[/C][C]3.88738[/C][/ROW]
[ROW][C]241[/C][C]19[/C][C]18.6207[/C][C]0.379283[/C][/ROW]
[ROW][C]242[/C][C]16[/C][C]12.82[/C][C]3.17995[/C][/ROW]
[ROW][C]243[/C][C]17[/C][C]15.9788[/C][C]1.02125[/C][/ROW]
[ROW][C]244[/C][C]16[/C][C]20.5035[/C][C]-4.50345[/C][/ROW]
[ROW][C]245[/C][C]9[/C][C]12.0544[/C][C]-3.05439[/C][/ROW]
[ROW][C]246[/C][C]11[/C][C]11.5538[/C][C]-0.553797[/C][/ROW]
[ROW][C]247[/C][C]14[/C][C]9.44267[/C][C]4.55733[/C][/ROW]
[ROW][C]248[/C][C]19[/C][C]19.0483[/C][C]-0.0482623[/C][/ROW]
[ROW][C]249[/C][C]13[/C][C]14.1713[/C][C]-1.17127[/C][/ROW]
[ROW][C]250[/C][C]14[/C][C]14.0591[/C][C]-0.059062[/C][/ROW]
[ROW][C]251[/C][C]15[/C][C]14.4242[/C][C]0.575842[/C][/ROW]
[ROW][C]252[/C][C]15[/C][C]15.2417[/C][C]-0.241655[/C][/ROW]
[ROW][C]253[/C][C]14[/C][C]12.1461[/C][C]1.8539[/C][/ROW]
[ROW][C]254[/C][C]16[/C][C]10.4164[/C][C]5.58362[/C][/ROW]
[ROW][C]255[/C][C]17[/C][C]17.6583[/C][C]-0.658317[/C][/ROW]
[ROW][C]256[/C][C]12[/C][C]12.1212[/C][C]-0.121159[/C][/ROW]
[ROW][C]257[/C][C]15[/C][C]12.3354[/C][C]2.6646[/C][/ROW]
[ROW][C]258[/C][C]17[/C][C]16.4201[/C][C]0.57987[/C][/ROW]
[ROW][C]259[/C][C]15[/C][C]18.8858[/C][C]-3.88581[/C][/ROW]
[ROW][C]260[/C][C]10[/C][C]7.93898[/C][C]2.06102[/C][/ROW]
[ROW][C]261[/C][C]16[/C][C]14.916[/C][C]1.08404[/C][/ROW]
[ROW][C]262[/C][C]15[/C][C]18.3972[/C][C]-3.39721[/C][/ROW]
[ROW][C]263[/C][C]11[/C][C]8.06217[/C][C]2.93783[/C][/ROW]
[ROW][C]264[/C][C]16[/C][C]14.6597[/C][C]1.34034[/C][/ROW]
[ROW][C]265[/C][C]16[/C][C]14.6731[/C][C]1.32686[/C][/ROW]
[ROW][C]266[/C][C]16[/C][C]16.4897[/C][C]-0.489743[/C][/ROW]
[ROW][C]267[/C][C]14[/C][C]14.0443[/C][C]-0.0443222[/C][/ROW]
[ROW][C]268[/C][C]14[/C][C]13.6968[/C][C]0.303174[/C][/ROW]
[ROW][C]269[/C][C]16[/C][C]15.518[/C][C]0.482018[/C][/ROW]
[ROW][C]270[/C][C]16[/C][C]12.8413[/C][C]3.15872[/C][/ROW]
[ROW][C]271[/C][C]18[/C][C]18.8241[/C][C]-0.824118[/C][/ROW]
[ROW][C]272[/C][C]14[/C][C]7.93531[/C][C]6.06469[/C][/ROW]
[ROW][C]273[/C][C]20[/C][C]19.5843[/C][C]0.415697[/C][/ROW]
[ROW][C]274[/C][C]15[/C][C]14.0085[/C][C]0.991459[/C][/ROW]
[ROW][C]275[/C][C]16[/C][C]15.1442[/C][C]0.855784[/C][/ROW]
[ROW][C]276[/C][C]16[/C][C]14.3362[/C][C]1.66381[/C][/ROW]
[ROW][C]277[/C][C]16[/C][C]18.4281[/C][C]-2.42807[/C][/ROW]
[ROW][C]278[/C][C]12[/C][C]16.7978[/C][C]-4.79776[/C][/ROW]
[ROW][C]279[/C][C]8[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=263722&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=263722&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
11313.422-0.421956
2814.9275-6.92755
31413.86590.134071
41615.07540.924615
51414.0864-0.0863713
61314.0313-1.03127
71513.98911.01088
81313.6871-0.687097
92015.87844.12158
101715.96291.03706
111514.08190.91808
121615.39420.605837
131213.6704-1.67036
141714.6562.34399
151114.9735-3.97348
161614.1731.827
171613.94482.05522
181514.51250.487516
191314.5822-1.58218
201415.1051-1.10511
211914.91284.08722
221614.73611.26385
231714.56212.43792
241014.698-4.69803
251514.5760.423991
261414.3951-0.395067
271414.598-0.598
281614.0171.98301
291515.1126-0.112608
301714.24272.75733
311412.51561.48442
321613.95192.04805
331514.25130.748712
341613.66262.33735
351613.8242.17602
361014.5025-4.50249
37814.4356-6.43557
381714.30842.69157
391414.8589-0.858946
401013.8895-3.88951
411413.86910.130912
421214.4352-2.43524
431614.3571.64299
441613.11792.8821
451612.88713.11292
46815.4133-7.41333
471614.20071.79933
481514.78930.210657
49815.1442-7.14424
501314.2931-1.29315
511414.4589-0.45893
521313.8316-0.831626
531614.08091.91914
541915.20823.79181
551915.24753.75255
561414.606-0.606026
571512.99292.0071
581313.8812-0.881154
591013.9959-3.9959
601614.39481.60515
611514.99390.00613505
621114.5391-3.53912
63912.239-3.23896
641614.15151.84854
651213.9969-1.99691
661213.4897-1.4897
671414.6908-0.690763
681415.0506-1.05057
691314.1296-1.12964
701513.65061.34942
711714.1352.865
721414.4705-0.470545
731114.1633-3.16329
74915.7505-6.75046
75713.2542-6.25419
761311.58751.41251
771516.7713-1.77127
781212.3985-0.398535
791514.25610.743883
801412.2351.76498
811616.2531-0.253063
821415.5304-1.53043
831311.09251.90749
841617.2538-1.25383
851310.27962.72044
861614.60141.39863
871614.95151.04847
881620.7886-4.78863
891012.2311-2.23109
901214.4614-2.46137
911214.2236-2.22364
921212.4416-0.441582
93128.179773.82023
941917.13861.86145
951415.1509-1.15086
961312.14070.859332
971615.28440.715649
981517.1984-2.19837
991218.0122-6.01221
100812.8246-4.82465
101108.616961.38304
1021614.98541.01459
1031618.5997-2.5997
104106.770273.22973
1051820.5573-2.55725
1061210.06991.9301
1071620.3236-4.32364
108109.879110.120886
1091416.6517-2.65175
1101215.7606-3.76056
1111111.0621-0.0621112
1121523.0083-8.00835
11375.419161.58084
1141612.62793.37209
1151613.93522.06475
1161614.78691.21311
1171618.95-2.94997
1181210.64781.35217
1191515.9075-0.907534
1201414.3014-0.301403
1211513.70621.29375
1221617.5815-1.58153
1231317.5192-4.51922
124108.225841.77416
1251716.49880.501196
1261511.54133.45874
1271815.5022.49801
1281610.71355.28647
1292019.84910.150891
1301613.29842.70161
1311714.80472.19528
1321615.78270.217258
1331516.3105-1.31049
1341312.16320.836802
1351613.50562.49438
1361615.58440.415607
1371613.46782.53223
1381711.33265.66736
1392020.8291-0.829139
1401412.23881.76117
1411722.6436-5.64362
14264.309161.69084
1431616.0428-0.0427918
1441513.22481.77516
1451614.79821.2018
1461616.2764-0.276433
1471414.2539-0.253875
1481614.76971.23027
1491614.69371.30627
1501616.3328-0.332803
1511414.3074-0.307384
1521412.97671.02328
1531615.06850.931473
1541614.50051.49949
1551514.57360.426423
1561615.52750.472518
1571614.10291.89709
1581817.57520.424776
1591514.50540.494557
1601613.7562.24404
1611614.27531.72469
1621613.93312.06694
1631717.3928-0.392792
1641411.41872.58128
1651823.7694-5.76938
16696.877272.12273
1671515.3459-0.345917
1681413.61180.388158
1691517.6194-2.61938
1701311.23211.76794
1711612.0983.90197
1722020.1793-0.179284
1731416.5503-2.55035
1741211.69940.300596
1751514.64040.359555
1761514.34270.657344
1771513.15611.8439
1781618.2603-2.26027
179119.417591.58241
1801622.3439-6.34394
181710.1485-3.14847
1821115.9147-4.91469
18398.66680.333199
1841513.81811.1819
1851614.4731.52695
1861413.5240.476018
1871516.7123-1.71228
1881314.7527-1.75266
1891315.6533-2.65333
1901210.19761.80239
1911616.1822-0.182161
1921412.97211.02792
1931617.0612-1.06118
1941414.1689-0.168947
1951519.0339-4.03392
196107.908312.09169
1971616.1887-0.188693
1981411.93732.06269
1991618.3698-2.36975
2001211.58190.41806
2011613.37952.62055
2021616.7038-0.703831
2031515.8687-0.868693
2041412.04081.95923
2051618.9795-2.9795
206119.966511.03349
2071511.44453.55545
2081818.3701-0.370061
2091320.1581-7.15808
210714.1192-7.11915
21174.378262.62174
2121713.68273.31726
2131817.74430.255748
2141521.3749-6.37487
21589.65274-1.65274
2161314.0902-1.09023
2171311.60561.39437
2181512.05632.94372
2191815.69662.30335
2201616.6145-0.614474
2211413.74320.256777
222159.865075.13493
2231917.67461.32543
2241617.8076-1.80764
2251210.40811.59186
2261618.0604-2.06035
2271110.21980.780201
2281616.0015-0.00152671
2291511.13133.86873
2301918.59030.409691
2311516.3911-1.39109
2321414.6967-0.696716
2331412.04261.95736
2341715.20351.79651
2351610.48735.51272
2362018.49591.50411
2371621.1124-5.11236
238910.3727-1.37272
2391312.20810.791868
2401511.11263.88738
2411918.62070.379283
2421612.823.17995
2431715.97881.02125
2441620.5035-4.50345
245912.0544-3.05439
2461111.5538-0.553797
247149.442674.55733
2481919.0483-0.0482623
2491314.1713-1.17127
2501414.0591-0.059062
2511514.42420.575842
2521515.2417-0.241655
2531412.14611.8539
2541610.41645.58362
2551717.6583-0.658317
2561212.1212-0.121159
2571512.33542.6646
2581716.42010.57987
2591518.8858-3.88581
260107.938982.06102
2611614.9161.08404
2621518.3972-3.39721
263118.062172.93783
2641614.65971.34034
2651614.67311.32686
2661616.4897-0.489743
2671414.0443-0.0443222
2681413.69680.303174
2691615.5180.482018
2701612.84133.15872
2711818.8241-0.824118
272147.935316.06469
2732019.58430.415697
2741514.00850.991459
2751615.14420.855784
2761614.33621.66381
2771618.4281-2.42807
2781216.7978-4.79776
2798NANA






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
80.3729340.7458670.627066
90.776130.447740.22387
100.8488330.3023350.151167
110.7742410.4515180.225759
120.6882220.6235560.311778
130.6576410.6847170.342359
140.613630.772740.38637
150.7268430.5463140.273157
160.676830.6463390.32317
170.6593380.6813230.340662
180.5837950.832410.416205
190.524440.951120.47556
200.4791380.9582770.520862
210.5790830.8418340.420917
220.5146630.9706740.485337
230.4851530.9703060.514847
240.635890.7282190.36411
250.5716810.8566380.428319
260.5069870.9860250.493013
270.442860.885720.55714
280.4125420.8250840.587458
290.3529310.7058620.647069
300.3599970.7199940.640003
310.3100920.6201840.689908
320.2723960.5447910.727604
330.2261730.4523460.773827
340.2074460.4148920.792554
350.1793440.3586880.820656
360.267160.534320.73284
370.5168770.9662460.483123
380.501990.996020.49801
390.4582570.9165140.541743
400.498120.9962410.50188
410.4474870.8949740.552513
420.4152130.8304250.584787
430.4122470.8244950.587753
440.4221760.8443530.577824
450.4222360.8444710.577764
460.6527640.6944730.347236
470.629310.7413790.37069
480.5845520.8308950.415448
490.751350.4972990.24865
500.7153630.5692740.284637
510.6761470.6477050.323853
520.6722040.6555920.327796
530.6647090.6705810.335291
540.7502520.4994960.249748
550.8207090.3585820.179291
560.7913790.4172410.208621
570.7638470.4723060.236153
580.745460.509080.25454
590.7851010.4297970.214899
600.7731690.4536630.226831
610.7414380.5171240.258562
620.7570370.4859260.242963
630.8229760.3540480.177024
640.8089650.382070.191035
650.7972030.4055950.202797
660.7777390.4445220.222261
670.7477490.5045020.252251
680.7174960.5650080.282504
690.6884550.623090.311545
700.6605040.6789910.339496
710.6641840.6716320.335816
720.6277390.7445210.372261
730.6399810.7200380.360019
740.7806160.4387680.219384
750.8885720.2228560.111428
760.8746930.2506140.125307
770.8615570.2768870.138443
780.8401740.3196510.159826
790.8176430.3647140.182357
800.8039880.3920250.196012
810.776820.446360.22318
820.7538130.4923740.246187
830.7408980.5182050.259102
840.7179420.5641160.282058
850.713010.5739790.28699
860.6916890.6166220.308311
870.6676830.6646330.332317
880.7257820.5484350.274218
890.7166470.5667070.283353
900.7055510.5888980.294449
910.6946590.6106820.305341
920.6676780.6646430.332322
930.7103690.5792620.289631
940.6866760.6266480.313324
950.660250.67950.33975
960.6334240.7331510.366576
970.6002690.7994630.399731
980.5895820.8208350.410418
990.7096880.5806230.290312
1000.7730720.4538560.226928
1010.7555920.4888160.244408
1020.7346350.5307290.265365
1030.7357140.5285710.264286
1040.7533290.4933420.246671
1050.745540.508920.25446
1060.7293190.5413610.270681
1070.7741480.4517030.225852
1080.7473810.5052380.252619
1090.7537060.4925880.246294
1100.7823050.435390.217695
1110.7575280.4849440.242472
1120.9207020.1585950.0792977
1130.9101430.1797140.0898571
1140.9195110.1609780.0804892
1150.9182110.1635770.0817887
1160.9105070.1789860.089493
1170.9106250.1787510.0893754
1180.8979660.2040680.102034
1190.8832170.2335670.116783
1200.8665840.2668330.133416
1210.8535240.2929530.146476
1220.8408550.318290.159145
1230.8714090.2571820.128591
1240.865070.269860.13493
1250.8476920.3046160.152308
1260.8629110.2741790.137089
1270.8632110.2735780.136789
1280.914310.1713810.0856903
1290.9011110.1977780.0988888
1300.9015860.1968280.0984141
1310.8958760.2082480.104124
1320.8795710.2408570.120429
1330.8657630.2684730.134237
1340.849220.301560.15078
1350.8464030.3071950.153597
1360.8281580.3436850.171842
1370.8287360.3425270.171264
1380.8907650.2184690.109235
1390.8750150.2499710.124985
1400.8645360.2709290.135464
1410.923360.1532810.0766404
1420.9165240.1669520.083476
1430.902590.1948210.0974105
1440.895240.209520.10476
1450.8821920.2356160.117808
1460.8642060.2715880.135794
1470.8480790.3038410.151921
1480.8308280.3383450.169172
1490.8130310.3739380.186969
1500.7888940.4222120.211106
1510.764340.4713190.23566
1520.7405020.5189970.259498
1530.7153220.5693560.284678
1540.6989590.6020820.301041
1550.6689920.6620160.331008
1560.6384080.7231840.361592
1570.6201320.7597370.379868
1580.5871710.8256580.412829
1590.5538430.8923150.446157
1600.5425570.9148860.457443
1610.5265180.9469640.473482
1620.5113570.9772860.488643
1630.4773920.9547840.522608
1640.4718820.9437630.528118
1650.5952590.8094810.404741
1660.582430.8351390.41757
1670.5488090.9023820.451191
1680.5141090.9717810.485891
1690.5240080.9519850.475992
1700.5007070.9985860.499293
1710.5283670.9432660.471633
1720.4929780.9859570.507022
1730.4918020.9836040.508198
1740.4565430.9130860.543457
1750.4215830.8431650.578417
1760.3910910.7821830.608909
1770.3709890.7419770.629011
1780.3545610.7091220.645439
1790.3329090.6658170.667091
1800.5158650.968270.484135
1810.537340.925320.46266
1820.6319090.7361810.368091
1830.5992520.8014970.400748
1840.5700960.8598090.429904
1850.5458310.9083390.454169
1860.5101650.979670.489835
1870.4868980.9737960.513102
1880.4713170.9426340.528683
1890.4851320.9702640.514868
1900.4615540.9231090.538446
1910.428350.85670.57165
1920.3964640.7929280.603536
1930.3855220.7710430.614478
1940.3500130.7000270.649987
1950.4163070.8326130.583693
1960.3974130.7948260.602587
1970.3613250.722650.638675
1980.3435680.6871350.656432
1990.3425270.6850540.657473
2000.3081020.6162050.691898
2010.321010.6420190.67899
2020.3005090.6010170.699491
2030.2762180.5524350.723782
2040.2596510.5193020.740349
2050.2740420.5480830.725958
2060.244510.489020.75549
2070.245660.4913190.75434
2080.2181060.4362120.781894
2090.4203980.8407960.579602
2100.6843480.6313030.315652
2110.6686420.6627150.331358
2120.6809740.6380510.319026
2130.6444760.7110490.355524
2140.8639650.272070.136035
2150.8600750.279850.139925
2160.8405050.318990.159495
2170.814990.370020.18501
2180.8199610.3600790.180039
2190.7979190.4041610.202081
2200.7750350.449930.224965
2210.7407590.5184820.259241
2220.84380.31240.1562
2230.8172850.365430.182715
2240.8128820.3742360.187118
2250.7874130.4251740.212587
2260.7597580.4804850.240242
2270.7237030.5525950.276297
2280.6832960.6334090.316704
2290.7308420.5383160.269158
2300.6900550.6198890.309945
2310.6523660.6952680.347634
2320.6108970.7782070.389103
2330.5846390.8307210.415361
2340.5405280.9189440.459472
2350.6332610.7334780.366739
2360.5921930.8156140.407807
2370.7403350.5193290.259665
2380.7019930.5960140.298007
2390.6704190.6591630.329581
2400.7315350.536930.268465
2410.6924740.6150520.307526
2420.6709820.6580360.329018
2430.6220110.7559790.377989
2440.7085950.5828090.291405
2450.776380.4472390.22362
2460.7362620.5274770.263738
2470.752560.494880.24744
2480.70780.5844010.2922
2490.6643350.6713310.335665
2500.6053650.789270.394635
2510.5431930.9136140.456807
2520.4896590.9793190.510341
2530.4359070.8718130.564093
2540.7019990.5960030.298001
2550.6741190.6517630.325881
2560.6118080.7763830.388192
2570.5572430.8855140.442757
2580.4832110.9664220.516789
2590.5129790.9740420.487021
2600.4355930.8711860.564407
2610.3585570.7171130.641443
2620.5142210.9715580.485779
2630.8124650.3750690.187535
2640.9715950.05680980.0284049
2650.9641050.07178980.0358949
2660.9310490.1379020.0689508
2670.9593470.08130670.0406533
2680.9142680.1714650.0857325
2690.8529650.294070.147035
2700.8120490.3759030.187951
2710.9197850.160430.080215

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
8 & 0.372934 & 0.745867 & 0.627066 \tabularnewline
9 & 0.77613 & 0.44774 & 0.22387 \tabularnewline
10 & 0.848833 & 0.302335 & 0.151167 \tabularnewline
11 & 0.774241 & 0.451518 & 0.225759 \tabularnewline
12 & 0.688222 & 0.623556 & 0.311778 \tabularnewline
13 & 0.657641 & 0.684717 & 0.342359 \tabularnewline
14 & 0.61363 & 0.77274 & 0.38637 \tabularnewline
15 & 0.726843 & 0.546314 & 0.273157 \tabularnewline
16 & 0.67683 & 0.646339 & 0.32317 \tabularnewline
17 & 0.659338 & 0.681323 & 0.340662 \tabularnewline
18 & 0.583795 & 0.83241 & 0.416205 \tabularnewline
19 & 0.52444 & 0.95112 & 0.47556 \tabularnewline
20 & 0.479138 & 0.958277 & 0.520862 \tabularnewline
21 & 0.579083 & 0.841834 & 0.420917 \tabularnewline
22 & 0.514663 & 0.970674 & 0.485337 \tabularnewline
23 & 0.485153 & 0.970306 & 0.514847 \tabularnewline
24 & 0.63589 & 0.728219 & 0.36411 \tabularnewline
25 & 0.571681 & 0.856638 & 0.428319 \tabularnewline
26 & 0.506987 & 0.986025 & 0.493013 \tabularnewline
27 & 0.44286 & 0.88572 & 0.55714 \tabularnewline
28 & 0.412542 & 0.825084 & 0.587458 \tabularnewline
29 & 0.352931 & 0.705862 & 0.647069 \tabularnewline
30 & 0.359997 & 0.719994 & 0.640003 \tabularnewline
31 & 0.310092 & 0.620184 & 0.689908 \tabularnewline
32 & 0.272396 & 0.544791 & 0.727604 \tabularnewline
33 & 0.226173 & 0.452346 & 0.773827 \tabularnewline
34 & 0.207446 & 0.414892 & 0.792554 \tabularnewline
35 & 0.179344 & 0.358688 & 0.820656 \tabularnewline
36 & 0.26716 & 0.53432 & 0.73284 \tabularnewline
37 & 0.516877 & 0.966246 & 0.483123 \tabularnewline
38 & 0.50199 & 0.99602 & 0.49801 \tabularnewline
39 & 0.458257 & 0.916514 & 0.541743 \tabularnewline
40 & 0.49812 & 0.996241 & 0.50188 \tabularnewline
41 & 0.447487 & 0.894974 & 0.552513 \tabularnewline
42 & 0.415213 & 0.830425 & 0.584787 \tabularnewline
43 & 0.412247 & 0.824495 & 0.587753 \tabularnewline
44 & 0.422176 & 0.844353 & 0.577824 \tabularnewline
45 & 0.422236 & 0.844471 & 0.577764 \tabularnewline
46 & 0.652764 & 0.694473 & 0.347236 \tabularnewline
47 & 0.62931 & 0.741379 & 0.37069 \tabularnewline
48 & 0.584552 & 0.830895 & 0.415448 \tabularnewline
49 & 0.75135 & 0.497299 & 0.24865 \tabularnewline
50 & 0.715363 & 0.569274 & 0.284637 \tabularnewline
51 & 0.676147 & 0.647705 & 0.323853 \tabularnewline
52 & 0.672204 & 0.655592 & 0.327796 \tabularnewline
53 & 0.664709 & 0.670581 & 0.335291 \tabularnewline
54 & 0.750252 & 0.499496 & 0.249748 \tabularnewline
55 & 0.820709 & 0.358582 & 0.179291 \tabularnewline
56 & 0.791379 & 0.417241 & 0.208621 \tabularnewline
57 & 0.763847 & 0.472306 & 0.236153 \tabularnewline
58 & 0.74546 & 0.50908 & 0.25454 \tabularnewline
59 & 0.785101 & 0.429797 & 0.214899 \tabularnewline
60 & 0.773169 & 0.453663 & 0.226831 \tabularnewline
61 & 0.741438 & 0.517124 & 0.258562 \tabularnewline
62 & 0.757037 & 0.485926 & 0.242963 \tabularnewline
63 & 0.822976 & 0.354048 & 0.177024 \tabularnewline
64 & 0.808965 & 0.38207 & 0.191035 \tabularnewline
65 & 0.797203 & 0.405595 & 0.202797 \tabularnewline
66 & 0.777739 & 0.444522 & 0.222261 \tabularnewline
67 & 0.747749 & 0.504502 & 0.252251 \tabularnewline
68 & 0.717496 & 0.565008 & 0.282504 \tabularnewline
69 & 0.688455 & 0.62309 & 0.311545 \tabularnewline
70 & 0.660504 & 0.678991 & 0.339496 \tabularnewline
71 & 0.664184 & 0.671632 & 0.335816 \tabularnewline
72 & 0.627739 & 0.744521 & 0.372261 \tabularnewline
73 & 0.639981 & 0.720038 & 0.360019 \tabularnewline
74 & 0.780616 & 0.438768 & 0.219384 \tabularnewline
75 & 0.888572 & 0.222856 & 0.111428 \tabularnewline
76 & 0.874693 & 0.250614 & 0.125307 \tabularnewline
77 & 0.861557 & 0.276887 & 0.138443 \tabularnewline
78 & 0.840174 & 0.319651 & 0.159826 \tabularnewline
79 & 0.817643 & 0.364714 & 0.182357 \tabularnewline
80 & 0.803988 & 0.392025 & 0.196012 \tabularnewline
81 & 0.77682 & 0.44636 & 0.22318 \tabularnewline
82 & 0.753813 & 0.492374 & 0.246187 \tabularnewline
83 & 0.740898 & 0.518205 & 0.259102 \tabularnewline
84 & 0.717942 & 0.564116 & 0.282058 \tabularnewline
85 & 0.71301 & 0.573979 & 0.28699 \tabularnewline
86 & 0.691689 & 0.616622 & 0.308311 \tabularnewline
87 & 0.667683 & 0.664633 & 0.332317 \tabularnewline
88 & 0.725782 & 0.548435 & 0.274218 \tabularnewline
89 & 0.716647 & 0.566707 & 0.283353 \tabularnewline
90 & 0.705551 & 0.588898 & 0.294449 \tabularnewline
91 & 0.694659 & 0.610682 & 0.305341 \tabularnewline
92 & 0.667678 & 0.664643 & 0.332322 \tabularnewline
93 & 0.710369 & 0.579262 & 0.289631 \tabularnewline
94 & 0.686676 & 0.626648 & 0.313324 \tabularnewline
95 & 0.66025 & 0.6795 & 0.33975 \tabularnewline
96 & 0.633424 & 0.733151 & 0.366576 \tabularnewline
97 & 0.600269 & 0.799463 & 0.399731 \tabularnewline
98 & 0.589582 & 0.820835 & 0.410418 \tabularnewline
99 & 0.709688 & 0.580623 & 0.290312 \tabularnewline
100 & 0.773072 & 0.453856 & 0.226928 \tabularnewline
101 & 0.755592 & 0.488816 & 0.244408 \tabularnewline
102 & 0.734635 & 0.530729 & 0.265365 \tabularnewline
103 & 0.735714 & 0.528571 & 0.264286 \tabularnewline
104 & 0.753329 & 0.493342 & 0.246671 \tabularnewline
105 & 0.74554 & 0.50892 & 0.25446 \tabularnewline
106 & 0.729319 & 0.541361 & 0.270681 \tabularnewline
107 & 0.774148 & 0.451703 & 0.225852 \tabularnewline
108 & 0.747381 & 0.505238 & 0.252619 \tabularnewline
109 & 0.753706 & 0.492588 & 0.246294 \tabularnewline
110 & 0.782305 & 0.43539 & 0.217695 \tabularnewline
111 & 0.757528 & 0.484944 & 0.242472 \tabularnewline
112 & 0.920702 & 0.158595 & 0.0792977 \tabularnewline
113 & 0.910143 & 0.179714 & 0.0898571 \tabularnewline
114 & 0.919511 & 0.160978 & 0.0804892 \tabularnewline
115 & 0.918211 & 0.163577 & 0.0817887 \tabularnewline
116 & 0.910507 & 0.178986 & 0.089493 \tabularnewline
117 & 0.910625 & 0.178751 & 0.0893754 \tabularnewline
118 & 0.897966 & 0.204068 & 0.102034 \tabularnewline
119 & 0.883217 & 0.233567 & 0.116783 \tabularnewline
120 & 0.866584 & 0.266833 & 0.133416 \tabularnewline
121 & 0.853524 & 0.292953 & 0.146476 \tabularnewline
122 & 0.840855 & 0.31829 & 0.159145 \tabularnewline
123 & 0.871409 & 0.257182 & 0.128591 \tabularnewline
124 & 0.86507 & 0.26986 & 0.13493 \tabularnewline
125 & 0.847692 & 0.304616 & 0.152308 \tabularnewline
126 & 0.862911 & 0.274179 & 0.137089 \tabularnewline
127 & 0.863211 & 0.273578 & 0.136789 \tabularnewline
128 & 0.91431 & 0.171381 & 0.0856903 \tabularnewline
129 & 0.901111 & 0.197778 & 0.0988888 \tabularnewline
130 & 0.901586 & 0.196828 & 0.0984141 \tabularnewline
131 & 0.895876 & 0.208248 & 0.104124 \tabularnewline
132 & 0.879571 & 0.240857 & 0.120429 \tabularnewline
133 & 0.865763 & 0.268473 & 0.134237 \tabularnewline
134 & 0.84922 & 0.30156 & 0.15078 \tabularnewline
135 & 0.846403 & 0.307195 & 0.153597 \tabularnewline
136 & 0.828158 & 0.343685 & 0.171842 \tabularnewline
137 & 0.828736 & 0.342527 & 0.171264 \tabularnewline
138 & 0.890765 & 0.218469 & 0.109235 \tabularnewline
139 & 0.875015 & 0.249971 & 0.124985 \tabularnewline
140 & 0.864536 & 0.270929 & 0.135464 \tabularnewline
141 & 0.92336 & 0.153281 & 0.0766404 \tabularnewline
142 & 0.916524 & 0.166952 & 0.083476 \tabularnewline
143 & 0.90259 & 0.194821 & 0.0974105 \tabularnewline
144 & 0.89524 & 0.20952 & 0.10476 \tabularnewline
145 & 0.882192 & 0.235616 & 0.117808 \tabularnewline
146 & 0.864206 & 0.271588 & 0.135794 \tabularnewline
147 & 0.848079 & 0.303841 & 0.151921 \tabularnewline
148 & 0.830828 & 0.338345 & 0.169172 \tabularnewline
149 & 0.813031 & 0.373938 & 0.186969 \tabularnewline
150 & 0.788894 & 0.422212 & 0.211106 \tabularnewline
151 & 0.76434 & 0.471319 & 0.23566 \tabularnewline
152 & 0.740502 & 0.518997 & 0.259498 \tabularnewline
153 & 0.715322 & 0.569356 & 0.284678 \tabularnewline
154 & 0.698959 & 0.602082 & 0.301041 \tabularnewline
155 & 0.668992 & 0.662016 & 0.331008 \tabularnewline
156 & 0.638408 & 0.723184 & 0.361592 \tabularnewline
157 & 0.620132 & 0.759737 & 0.379868 \tabularnewline
158 & 0.587171 & 0.825658 & 0.412829 \tabularnewline
159 & 0.553843 & 0.892315 & 0.446157 \tabularnewline
160 & 0.542557 & 0.914886 & 0.457443 \tabularnewline
161 & 0.526518 & 0.946964 & 0.473482 \tabularnewline
162 & 0.511357 & 0.977286 & 0.488643 \tabularnewline
163 & 0.477392 & 0.954784 & 0.522608 \tabularnewline
164 & 0.471882 & 0.943763 & 0.528118 \tabularnewline
165 & 0.595259 & 0.809481 & 0.404741 \tabularnewline
166 & 0.58243 & 0.835139 & 0.41757 \tabularnewline
167 & 0.548809 & 0.902382 & 0.451191 \tabularnewline
168 & 0.514109 & 0.971781 & 0.485891 \tabularnewline
169 & 0.524008 & 0.951985 & 0.475992 \tabularnewline
170 & 0.500707 & 0.998586 & 0.499293 \tabularnewline
171 & 0.528367 & 0.943266 & 0.471633 \tabularnewline
172 & 0.492978 & 0.985957 & 0.507022 \tabularnewline
173 & 0.491802 & 0.983604 & 0.508198 \tabularnewline
174 & 0.456543 & 0.913086 & 0.543457 \tabularnewline
175 & 0.421583 & 0.843165 & 0.578417 \tabularnewline
176 & 0.391091 & 0.782183 & 0.608909 \tabularnewline
177 & 0.370989 & 0.741977 & 0.629011 \tabularnewline
178 & 0.354561 & 0.709122 & 0.645439 \tabularnewline
179 & 0.332909 & 0.665817 & 0.667091 \tabularnewline
180 & 0.515865 & 0.96827 & 0.484135 \tabularnewline
181 & 0.53734 & 0.92532 & 0.46266 \tabularnewline
182 & 0.631909 & 0.736181 & 0.368091 \tabularnewline
183 & 0.599252 & 0.801497 & 0.400748 \tabularnewline
184 & 0.570096 & 0.859809 & 0.429904 \tabularnewline
185 & 0.545831 & 0.908339 & 0.454169 \tabularnewline
186 & 0.510165 & 0.97967 & 0.489835 \tabularnewline
187 & 0.486898 & 0.973796 & 0.513102 \tabularnewline
188 & 0.471317 & 0.942634 & 0.528683 \tabularnewline
189 & 0.485132 & 0.970264 & 0.514868 \tabularnewline
190 & 0.461554 & 0.923109 & 0.538446 \tabularnewline
191 & 0.42835 & 0.8567 & 0.57165 \tabularnewline
192 & 0.396464 & 0.792928 & 0.603536 \tabularnewline
193 & 0.385522 & 0.771043 & 0.614478 \tabularnewline
194 & 0.350013 & 0.700027 & 0.649987 \tabularnewline
195 & 0.416307 & 0.832613 & 0.583693 \tabularnewline
196 & 0.397413 & 0.794826 & 0.602587 \tabularnewline
197 & 0.361325 & 0.72265 & 0.638675 \tabularnewline
198 & 0.343568 & 0.687135 & 0.656432 \tabularnewline
199 & 0.342527 & 0.685054 & 0.657473 \tabularnewline
200 & 0.308102 & 0.616205 & 0.691898 \tabularnewline
201 & 0.32101 & 0.642019 & 0.67899 \tabularnewline
202 & 0.300509 & 0.601017 & 0.699491 \tabularnewline
203 & 0.276218 & 0.552435 & 0.723782 \tabularnewline
204 & 0.259651 & 0.519302 & 0.740349 \tabularnewline
205 & 0.274042 & 0.548083 & 0.725958 \tabularnewline
206 & 0.24451 & 0.48902 & 0.75549 \tabularnewline
207 & 0.24566 & 0.491319 & 0.75434 \tabularnewline
208 & 0.218106 & 0.436212 & 0.781894 \tabularnewline
209 & 0.420398 & 0.840796 & 0.579602 \tabularnewline
210 & 0.684348 & 0.631303 & 0.315652 \tabularnewline
211 & 0.668642 & 0.662715 & 0.331358 \tabularnewline
212 & 0.680974 & 0.638051 & 0.319026 \tabularnewline
213 & 0.644476 & 0.711049 & 0.355524 \tabularnewline
214 & 0.863965 & 0.27207 & 0.136035 \tabularnewline
215 & 0.860075 & 0.27985 & 0.139925 \tabularnewline
216 & 0.840505 & 0.31899 & 0.159495 \tabularnewline
217 & 0.81499 & 0.37002 & 0.18501 \tabularnewline
218 & 0.819961 & 0.360079 & 0.180039 \tabularnewline
219 & 0.797919 & 0.404161 & 0.202081 \tabularnewline
220 & 0.775035 & 0.44993 & 0.224965 \tabularnewline
221 & 0.740759 & 0.518482 & 0.259241 \tabularnewline
222 & 0.8438 & 0.3124 & 0.1562 \tabularnewline
223 & 0.817285 & 0.36543 & 0.182715 \tabularnewline
224 & 0.812882 & 0.374236 & 0.187118 \tabularnewline
225 & 0.787413 & 0.425174 & 0.212587 \tabularnewline
226 & 0.759758 & 0.480485 & 0.240242 \tabularnewline
227 & 0.723703 & 0.552595 & 0.276297 \tabularnewline
228 & 0.683296 & 0.633409 & 0.316704 \tabularnewline
229 & 0.730842 & 0.538316 & 0.269158 \tabularnewline
230 & 0.690055 & 0.619889 & 0.309945 \tabularnewline
231 & 0.652366 & 0.695268 & 0.347634 \tabularnewline
232 & 0.610897 & 0.778207 & 0.389103 \tabularnewline
233 & 0.584639 & 0.830721 & 0.415361 \tabularnewline
234 & 0.540528 & 0.918944 & 0.459472 \tabularnewline
235 & 0.633261 & 0.733478 & 0.366739 \tabularnewline
236 & 0.592193 & 0.815614 & 0.407807 \tabularnewline
237 & 0.740335 & 0.519329 & 0.259665 \tabularnewline
238 & 0.701993 & 0.596014 & 0.298007 \tabularnewline
239 & 0.670419 & 0.659163 & 0.329581 \tabularnewline
240 & 0.731535 & 0.53693 & 0.268465 \tabularnewline
241 & 0.692474 & 0.615052 & 0.307526 \tabularnewline
242 & 0.670982 & 0.658036 & 0.329018 \tabularnewline
243 & 0.622011 & 0.755979 & 0.377989 \tabularnewline
244 & 0.708595 & 0.582809 & 0.291405 \tabularnewline
245 & 0.77638 & 0.447239 & 0.22362 \tabularnewline
246 & 0.736262 & 0.527477 & 0.263738 \tabularnewline
247 & 0.75256 & 0.49488 & 0.24744 \tabularnewline
248 & 0.7078 & 0.584401 & 0.2922 \tabularnewline
249 & 0.664335 & 0.671331 & 0.335665 \tabularnewline
250 & 0.605365 & 0.78927 & 0.394635 \tabularnewline
251 & 0.543193 & 0.913614 & 0.456807 \tabularnewline
252 & 0.489659 & 0.979319 & 0.510341 \tabularnewline
253 & 0.435907 & 0.871813 & 0.564093 \tabularnewline
254 & 0.701999 & 0.596003 & 0.298001 \tabularnewline
255 & 0.674119 & 0.651763 & 0.325881 \tabularnewline
256 & 0.611808 & 0.776383 & 0.388192 \tabularnewline
257 & 0.557243 & 0.885514 & 0.442757 \tabularnewline
258 & 0.483211 & 0.966422 & 0.516789 \tabularnewline
259 & 0.512979 & 0.974042 & 0.487021 \tabularnewline
260 & 0.435593 & 0.871186 & 0.564407 \tabularnewline
261 & 0.358557 & 0.717113 & 0.641443 \tabularnewline
262 & 0.514221 & 0.971558 & 0.485779 \tabularnewline
263 & 0.812465 & 0.375069 & 0.187535 \tabularnewline
264 & 0.971595 & 0.0568098 & 0.0284049 \tabularnewline
265 & 0.964105 & 0.0717898 & 0.0358949 \tabularnewline
266 & 0.931049 & 0.137902 & 0.0689508 \tabularnewline
267 & 0.959347 & 0.0813067 & 0.0406533 \tabularnewline
268 & 0.914268 & 0.171465 & 0.0857325 \tabularnewline
269 & 0.852965 & 0.29407 & 0.147035 \tabularnewline
270 & 0.812049 & 0.375903 & 0.187951 \tabularnewline
271 & 0.919785 & 0.16043 & 0.080215 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=263722&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]8[/C][C]0.372934[/C][C]0.745867[/C][C]0.627066[/C][/ROW]
[ROW][C]9[/C][C]0.77613[/C][C]0.44774[/C][C]0.22387[/C][/ROW]
[ROW][C]10[/C][C]0.848833[/C][C]0.302335[/C][C]0.151167[/C][/ROW]
[ROW][C]11[/C][C]0.774241[/C][C]0.451518[/C][C]0.225759[/C][/ROW]
[ROW][C]12[/C][C]0.688222[/C][C]0.623556[/C][C]0.311778[/C][/ROW]
[ROW][C]13[/C][C]0.657641[/C][C]0.684717[/C][C]0.342359[/C][/ROW]
[ROW][C]14[/C][C]0.61363[/C][C]0.77274[/C][C]0.38637[/C][/ROW]
[ROW][C]15[/C][C]0.726843[/C][C]0.546314[/C][C]0.273157[/C][/ROW]
[ROW][C]16[/C][C]0.67683[/C][C]0.646339[/C][C]0.32317[/C][/ROW]
[ROW][C]17[/C][C]0.659338[/C][C]0.681323[/C][C]0.340662[/C][/ROW]
[ROW][C]18[/C][C]0.583795[/C][C]0.83241[/C][C]0.416205[/C][/ROW]
[ROW][C]19[/C][C]0.52444[/C][C]0.95112[/C][C]0.47556[/C][/ROW]
[ROW][C]20[/C][C]0.479138[/C][C]0.958277[/C][C]0.520862[/C][/ROW]
[ROW][C]21[/C][C]0.579083[/C][C]0.841834[/C][C]0.420917[/C][/ROW]
[ROW][C]22[/C][C]0.514663[/C][C]0.970674[/C][C]0.485337[/C][/ROW]
[ROW][C]23[/C][C]0.485153[/C][C]0.970306[/C][C]0.514847[/C][/ROW]
[ROW][C]24[/C][C]0.63589[/C][C]0.728219[/C][C]0.36411[/C][/ROW]
[ROW][C]25[/C][C]0.571681[/C][C]0.856638[/C][C]0.428319[/C][/ROW]
[ROW][C]26[/C][C]0.506987[/C][C]0.986025[/C][C]0.493013[/C][/ROW]
[ROW][C]27[/C][C]0.44286[/C][C]0.88572[/C][C]0.55714[/C][/ROW]
[ROW][C]28[/C][C]0.412542[/C][C]0.825084[/C][C]0.587458[/C][/ROW]
[ROW][C]29[/C][C]0.352931[/C][C]0.705862[/C][C]0.647069[/C][/ROW]
[ROW][C]30[/C][C]0.359997[/C][C]0.719994[/C][C]0.640003[/C][/ROW]
[ROW][C]31[/C][C]0.310092[/C][C]0.620184[/C][C]0.689908[/C][/ROW]
[ROW][C]32[/C][C]0.272396[/C][C]0.544791[/C][C]0.727604[/C][/ROW]
[ROW][C]33[/C][C]0.226173[/C][C]0.452346[/C][C]0.773827[/C][/ROW]
[ROW][C]34[/C][C]0.207446[/C][C]0.414892[/C][C]0.792554[/C][/ROW]
[ROW][C]35[/C][C]0.179344[/C][C]0.358688[/C][C]0.820656[/C][/ROW]
[ROW][C]36[/C][C]0.26716[/C][C]0.53432[/C][C]0.73284[/C][/ROW]
[ROW][C]37[/C][C]0.516877[/C][C]0.966246[/C][C]0.483123[/C][/ROW]
[ROW][C]38[/C][C]0.50199[/C][C]0.99602[/C][C]0.49801[/C][/ROW]
[ROW][C]39[/C][C]0.458257[/C][C]0.916514[/C][C]0.541743[/C][/ROW]
[ROW][C]40[/C][C]0.49812[/C][C]0.996241[/C][C]0.50188[/C][/ROW]
[ROW][C]41[/C][C]0.447487[/C][C]0.894974[/C][C]0.552513[/C][/ROW]
[ROW][C]42[/C][C]0.415213[/C][C]0.830425[/C][C]0.584787[/C][/ROW]
[ROW][C]43[/C][C]0.412247[/C][C]0.824495[/C][C]0.587753[/C][/ROW]
[ROW][C]44[/C][C]0.422176[/C][C]0.844353[/C][C]0.577824[/C][/ROW]
[ROW][C]45[/C][C]0.422236[/C][C]0.844471[/C][C]0.577764[/C][/ROW]
[ROW][C]46[/C][C]0.652764[/C][C]0.694473[/C][C]0.347236[/C][/ROW]
[ROW][C]47[/C][C]0.62931[/C][C]0.741379[/C][C]0.37069[/C][/ROW]
[ROW][C]48[/C][C]0.584552[/C][C]0.830895[/C][C]0.415448[/C][/ROW]
[ROW][C]49[/C][C]0.75135[/C][C]0.497299[/C][C]0.24865[/C][/ROW]
[ROW][C]50[/C][C]0.715363[/C][C]0.569274[/C][C]0.284637[/C][/ROW]
[ROW][C]51[/C][C]0.676147[/C][C]0.647705[/C][C]0.323853[/C][/ROW]
[ROW][C]52[/C][C]0.672204[/C][C]0.655592[/C][C]0.327796[/C][/ROW]
[ROW][C]53[/C][C]0.664709[/C][C]0.670581[/C][C]0.335291[/C][/ROW]
[ROW][C]54[/C][C]0.750252[/C][C]0.499496[/C][C]0.249748[/C][/ROW]
[ROW][C]55[/C][C]0.820709[/C][C]0.358582[/C][C]0.179291[/C][/ROW]
[ROW][C]56[/C][C]0.791379[/C][C]0.417241[/C][C]0.208621[/C][/ROW]
[ROW][C]57[/C][C]0.763847[/C][C]0.472306[/C][C]0.236153[/C][/ROW]
[ROW][C]58[/C][C]0.74546[/C][C]0.50908[/C][C]0.25454[/C][/ROW]
[ROW][C]59[/C][C]0.785101[/C][C]0.429797[/C][C]0.214899[/C][/ROW]
[ROW][C]60[/C][C]0.773169[/C][C]0.453663[/C][C]0.226831[/C][/ROW]
[ROW][C]61[/C][C]0.741438[/C][C]0.517124[/C][C]0.258562[/C][/ROW]
[ROW][C]62[/C][C]0.757037[/C][C]0.485926[/C][C]0.242963[/C][/ROW]
[ROW][C]63[/C][C]0.822976[/C][C]0.354048[/C][C]0.177024[/C][/ROW]
[ROW][C]64[/C][C]0.808965[/C][C]0.38207[/C][C]0.191035[/C][/ROW]
[ROW][C]65[/C][C]0.797203[/C][C]0.405595[/C][C]0.202797[/C][/ROW]
[ROW][C]66[/C][C]0.777739[/C][C]0.444522[/C][C]0.222261[/C][/ROW]
[ROW][C]67[/C][C]0.747749[/C][C]0.504502[/C][C]0.252251[/C][/ROW]
[ROW][C]68[/C][C]0.717496[/C][C]0.565008[/C][C]0.282504[/C][/ROW]
[ROW][C]69[/C][C]0.688455[/C][C]0.62309[/C][C]0.311545[/C][/ROW]
[ROW][C]70[/C][C]0.660504[/C][C]0.678991[/C][C]0.339496[/C][/ROW]
[ROW][C]71[/C][C]0.664184[/C][C]0.671632[/C][C]0.335816[/C][/ROW]
[ROW][C]72[/C][C]0.627739[/C][C]0.744521[/C][C]0.372261[/C][/ROW]
[ROW][C]73[/C][C]0.639981[/C][C]0.720038[/C][C]0.360019[/C][/ROW]
[ROW][C]74[/C][C]0.780616[/C][C]0.438768[/C][C]0.219384[/C][/ROW]
[ROW][C]75[/C][C]0.888572[/C][C]0.222856[/C][C]0.111428[/C][/ROW]
[ROW][C]76[/C][C]0.874693[/C][C]0.250614[/C][C]0.125307[/C][/ROW]
[ROW][C]77[/C][C]0.861557[/C][C]0.276887[/C][C]0.138443[/C][/ROW]
[ROW][C]78[/C][C]0.840174[/C][C]0.319651[/C][C]0.159826[/C][/ROW]
[ROW][C]79[/C][C]0.817643[/C][C]0.364714[/C][C]0.182357[/C][/ROW]
[ROW][C]80[/C][C]0.803988[/C][C]0.392025[/C][C]0.196012[/C][/ROW]
[ROW][C]81[/C][C]0.77682[/C][C]0.44636[/C][C]0.22318[/C][/ROW]
[ROW][C]82[/C][C]0.753813[/C][C]0.492374[/C][C]0.246187[/C][/ROW]
[ROW][C]83[/C][C]0.740898[/C][C]0.518205[/C][C]0.259102[/C][/ROW]
[ROW][C]84[/C][C]0.717942[/C][C]0.564116[/C][C]0.282058[/C][/ROW]
[ROW][C]85[/C][C]0.71301[/C][C]0.573979[/C][C]0.28699[/C][/ROW]
[ROW][C]86[/C][C]0.691689[/C][C]0.616622[/C][C]0.308311[/C][/ROW]
[ROW][C]87[/C][C]0.667683[/C][C]0.664633[/C][C]0.332317[/C][/ROW]
[ROW][C]88[/C][C]0.725782[/C][C]0.548435[/C][C]0.274218[/C][/ROW]
[ROW][C]89[/C][C]0.716647[/C][C]0.566707[/C][C]0.283353[/C][/ROW]
[ROW][C]90[/C][C]0.705551[/C][C]0.588898[/C][C]0.294449[/C][/ROW]
[ROW][C]91[/C][C]0.694659[/C][C]0.610682[/C][C]0.305341[/C][/ROW]
[ROW][C]92[/C][C]0.667678[/C][C]0.664643[/C][C]0.332322[/C][/ROW]
[ROW][C]93[/C][C]0.710369[/C][C]0.579262[/C][C]0.289631[/C][/ROW]
[ROW][C]94[/C][C]0.686676[/C][C]0.626648[/C][C]0.313324[/C][/ROW]
[ROW][C]95[/C][C]0.66025[/C][C]0.6795[/C][C]0.33975[/C][/ROW]
[ROW][C]96[/C][C]0.633424[/C][C]0.733151[/C][C]0.366576[/C][/ROW]
[ROW][C]97[/C][C]0.600269[/C][C]0.799463[/C][C]0.399731[/C][/ROW]
[ROW][C]98[/C][C]0.589582[/C][C]0.820835[/C][C]0.410418[/C][/ROW]
[ROW][C]99[/C][C]0.709688[/C][C]0.580623[/C][C]0.290312[/C][/ROW]
[ROW][C]100[/C][C]0.773072[/C][C]0.453856[/C][C]0.226928[/C][/ROW]
[ROW][C]101[/C][C]0.755592[/C][C]0.488816[/C][C]0.244408[/C][/ROW]
[ROW][C]102[/C][C]0.734635[/C][C]0.530729[/C][C]0.265365[/C][/ROW]
[ROW][C]103[/C][C]0.735714[/C][C]0.528571[/C][C]0.264286[/C][/ROW]
[ROW][C]104[/C][C]0.753329[/C][C]0.493342[/C][C]0.246671[/C][/ROW]
[ROW][C]105[/C][C]0.74554[/C][C]0.50892[/C][C]0.25446[/C][/ROW]
[ROW][C]106[/C][C]0.729319[/C][C]0.541361[/C][C]0.270681[/C][/ROW]
[ROW][C]107[/C][C]0.774148[/C][C]0.451703[/C][C]0.225852[/C][/ROW]
[ROW][C]108[/C][C]0.747381[/C][C]0.505238[/C][C]0.252619[/C][/ROW]
[ROW][C]109[/C][C]0.753706[/C][C]0.492588[/C][C]0.246294[/C][/ROW]
[ROW][C]110[/C][C]0.782305[/C][C]0.43539[/C][C]0.217695[/C][/ROW]
[ROW][C]111[/C][C]0.757528[/C][C]0.484944[/C][C]0.242472[/C][/ROW]
[ROW][C]112[/C][C]0.920702[/C][C]0.158595[/C][C]0.0792977[/C][/ROW]
[ROW][C]113[/C][C]0.910143[/C][C]0.179714[/C][C]0.0898571[/C][/ROW]
[ROW][C]114[/C][C]0.919511[/C][C]0.160978[/C][C]0.0804892[/C][/ROW]
[ROW][C]115[/C][C]0.918211[/C][C]0.163577[/C][C]0.0817887[/C][/ROW]
[ROW][C]116[/C][C]0.910507[/C][C]0.178986[/C][C]0.089493[/C][/ROW]
[ROW][C]117[/C][C]0.910625[/C][C]0.178751[/C][C]0.0893754[/C][/ROW]
[ROW][C]118[/C][C]0.897966[/C][C]0.204068[/C][C]0.102034[/C][/ROW]
[ROW][C]119[/C][C]0.883217[/C][C]0.233567[/C][C]0.116783[/C][/ROW]
[ROW][C]120[/C][C]0.866584[/C][C]0.266833[/C][C]0.133416[/C][/ROW]
[ROW][C]121[/C][C]0.853524[/C][C]0.292953[/C][C]0.146476[/C][/ROW]
[ROW][C]122[/C][C]0.840855[/C][C]0.31829[/C][C]0.159145[/C][/ROW]
[ROW][C]123[/C][C]0.871409[/C][C]0.257182[/C][C]0.128591[/C][/ROW]
[ROW][C]124[/C][C]0.86507[/C][C]0.26986[/C][C]0.13493[/C][/ROW]
[ROW][C]125[/C][C]0.847692[/C][C]0.304616[/C][C]0.152308[/C][/ROW]
[ROW][C]126[/C][C]0.862911[/C][C]0.274179[/C][C]0.137089[/C][/ROW]
[ROW][C]127[/C][C]0.863211[/C][C]0.273578[/C][C]0.136789[/C][/ROW]
[ROW][C]128[/C][C]0.91431[/C][C]0.171381[/C][C]0.0856903[/C][/ROW]
[ROW][C]129[/C][C]0.901111[/C][C]0.197778[/C][C]0.0988888[/C][/ROW]
[ROW][C]130[/C][C]0.901586[/C][C]0.196828[/C][C]0.0984141[/C][/ROW]
[ROW][C]131[/C][C]0.895876[/C][C]0.208248[/C][C]0.104124[/C][/ROW]
[ROW][C]132[/C][C]0.879571[/C][C]0.240857[/C][C]0.120429[/C][/ROW]
[ROW][C]133[/C][C]0.865763[/C][C]0.268473[/C][C]0.134237[/C][/ROW]
[ROW][C]134[/C][C]0.84922[/C][C]0.30156[/C][C]0.15078[/C][/ROW]
[ROW][C]135[/C][C]0.846403[/C][C]0.307195[/C][C]0.153597[/C][/ROW]
[ROW][C]136[/C][C]0.828158[/C][C]0.343685[/C][C]0.171842[/C][/ROW]
[ROW][C]137[/C][C]0.828736[/C][C]0.342527[/C][C]0.171264[/C][/ROW]
[ROW][C]138[/C][C]0.890765[/C][C]0.218469[/C][C]0.109235[/C][/ROW]
[ROW][C]139[/C][C]0.875015[/C][C]0.249971[/C][C]0.124985[/C][/ROW]
[ROW][C]140[/C][C]0.864536[/C][C]0.270929[/C][C]0.135464[/C][/ROW]
[ROW][C]141[/C][C]0.92336[/C][C]0.153281[/C][C]0.0766404[/C][/ROW]
[ROW][C]142[/C][C]0.916524[/C][C]0.166952[/C][C]0.083476[/C][/ROW]
[ROW][C]143[/C][C]0.90259[/C][C]0.194821[/C][C]0.0974105[/C][/ROW]
[ROW][C]144[/C][C]0.89524[/C][C]0.20952[/C][C]0.10476[/C][/ROW]
[ROW][C]145[/C][C]0.882192[/C][C]0.235616[/C][C]0.117808[/C][/ROW]
[ROW][C]146[/C][C]0.864206[/C][C]0.271588[/C][C]0.135794[/C][/ROW]
[ROW][C]147[/C][C]0.848079[/C][C]0.303841[/C][C]0.151921[/C][/ROW]
[ROW][C]148[/C][C]0.830828[/C][C]0.338345[/C][C]0.169172[/C][/ROW]
[ROW][C]149[/C][C]0.813031[/C][C]0.373938[/C][C]0.186969[/C][/ROW]
[ROW][C]150[/C][C]0.788894[/C][C]0.422212[/C][C]0.211106[/C][/ROW]
[ROW][C]151[/C][C]0.76434[/C][C]0.471319[/C][C]0.23566[/C][/ROW]
[ROW][C]152[/C][C]0.740502[/C][C]0.518997[/C][C]0.259498[/C][/ROW]
[ROW][C]153[/C][C]0.715322[/C][C]0.569356[/C][C]0.284678[/C][/ROW]
[ROW][C]154[/C][C]0.698959[/C][C]0.602082[/C][C]0.301041[/C][/ROW]
[ROW][C]155[/C][C]0.668992[/C][C]0.662016[/C][C]0.331008[/C][/ROW]
[ROW][C]156[/C][C]0.638408[/C][C]0.723184[/C][C]0.361592[/C][/ROW]
[ROW][C]157[/C][C]0.620132[/C][C]0.759737[/C][C]0.379868[/C][/ROW]
[ROW][C]158[/C][C]0.587171[/C][C]0.825658[/C][C]0.412829[/C][/ROW]
[ROW][C]159[/C][C]0.553843[/C][C]0.892315[/C][C]0.446157[/C][/ROW]
[ROW][C]160[/C][C]0.542557[/C][C]0.914886[/C][C]0.457443[/C][/ROW]
[ROW][C]161[/C][C]0.526518[/C][C]0.946964[/C][C]0.473482[/C][/ROW]
[ROW][C]162[/C][C]0.511357[/C][C]0.977286[/C][C]0.488643[/C][/ROW]
[ROW][C]163[/C][C]0.477392[/C][C]0.954784[/C][C]0.522608[/C][/ROW]
[ROW][C]164[/C][C]0.471882[/C][C]0.943763[/C][C]0.528118[/C][/ROW]
[ROW][C]165[/C][C]0.595259[/C][C]0.809481[/C][C]0.404741[/C][/ROW]
[ROW][C]166[/C][C]0.58243[/C][C]0.835139[/C][C]0.41757[/C][/ROW]
[ROW][C]167[/C][C]0.548809[/C][C]0.902382[/C][C]0.451191[/C][/ROW]
[ROW][C]168[/C][C]0.514109[/C][C]0.971781[/C][C]0.485891[/C][/ROW]
[ROW][C]169[/C][C]0.524008[/C][C]0.951985[/C][C]0.475992[/C][/ROW]
[ROW][C]170[/C][C]0.500707[/C][C]0.998586[/C][C]0.499293[/C][/ROW]
[ROW][C]171[/C][C]0.528367[/C][C]0.943266[/C][C]0.471633[/C][/ROW]
[ROW][C]172[/C][C]0.492978[/C][C]0.985957[/C][C]0.507022[/C][/ROW]
[ROW][C]173[/C][C]0.491802[/C][C]0.983604[/C][C]0.508198[/C][/ROW]
[ROW][C]174[/C][C]0.456543[/C][C]0.913086[/C][C]0.543457[/C][/ROW]
[ROW][C]175[/C][C]0.421583[/C][C]0.843165[/C][C]0.578417[/C][/ROW]
[ROW][C]176[/C][C]0.391091[/C][C]0.782183[/C][C]0.608909[/C][/ROW]
[ROW][C]177[/C][C]0.370989[/C][C]0.741977[/C][C]0.629011[/C][/ROW]
[ROW][C]178[/C][C]0.354561[/C][C]0.709122[/C][C]0.645439[/C][/ROW]
[ROW][C]179[/C][C]0.332909[/C][C]0.665817[/C][C]0.667091[/C][/ROW]
[ROW][C]180[/C][C]0.515865[/C][C]0.96827[/C][C]0.484135[/C][/ROW]
[ROW][C]181[/C][C]0.53734[/C][C]0.92532[/C][C]0.46266[/C][/ROW]
[ROW][C]182[/C][C]0.631909[/C][C]0.736181[/C][C]0.368091[/C][/ROW]
[ROW][C]183[/C][C]0.599252[/C][C]0.801497[/C][C]0.400748[/C][/ROW]
[ROW][C]184[/C][C]0.570096[/C][C]0.859809[/C][C]0.429904[/C][/ROW]
[ROW][C]185[/C][C]0.545831[/C][C]0.908339[/C][C]0.454169[/C][/ROW]
[ROW][C]186[/C][C]0.510165[/C][C]0.97967[/C][C]0.489835[/C][/ROW]
[ROW][C]187[/C][C]0.486898[/C][C]0.973796[/C][C]0.513102[/C][/ROW]
[ROW][C]188[/C][C]0.471317[/C][C]0.942634[/C][C]0.528683[/C][/ROW]
[ROW][C]189[/C][C]0.485132[/C][C]0.970264[/C][C]0.514868[/C][/ROW]
[ROW][C]190[/C][C]0.461554[/C][C]0.923109[/C][C]0.538446[/C][/ROW]
[ROW][C]191[/C][C]0.42835[/C][C]0.8567[/C][C]0.57165[/C][/ROW]
[ROW][C]192[/C][C]0.396464[/C][C]0.792928[/C][C]0.603536[/C][/ROW]
[ROW][C]193[/C][C]0.385522[/C][C]0.771043[/C][C]0.614478[/C][/ROW]
[ROW][C]194[/C][C]0.350013[/C][C]0.700027[/C][C]0.649987[/C][/ROW]
[ROW][C]195[/C][C]0.416307[/C][C]0.832613[/C][C]0.583693[/C][/ROW]
[ROW][C]196[/C][C]0.397413[/C][C]0.794826[/C][C]0.602587[/C][/ROW]
[ROW][C]197[/C][C]0.361325[/C][C]0.72265[/C][C]0.638675[/C][/ROW]
[ROW][C]198[/C][C]0.343568[/C][C]0.687135[/C][C]0.656432[/C][/ROW]
[ROW][C]199[/C][C]0.342527[/C][C]0.685054[/C][C]0.657473[/C][/ROW]
[ROW][C]200[/C][C]0.308102[/C][C]0.616205[/C][C]0.691898[/C][/ROW]
[ROW][C]201[/C][C]0.32101[/C][C]0.642019[/C][C]0.67899[/C][/ROW]
[ROW][C]202[/C][C]0.300509[/C][C]0.601017[/C][C]0.699491[/C][/ROW]
[ROW][C]203[/C][C]0.276218[/C][C]0.552435[/C][C]0.723782[/C][/ROW]
[ROW][C]204[/C][C]0.259651[/C][C]0.519302[/C][C]0.740349[/C][/ROW]
[ROW][C]205[/C][C]0.274042[/C][C]0.548083[/C][C]0.725958[/C][/ROW]
[ROW][C]206[/C][C]0.24451[/C][C]0.48902[/C][C]0.75549[/C][/ROW]
[ROW][C]207[/C][C]0.24566[/C][C]0.491319[/C][C]0.75434[/C][/ROW]
[ROW][C]208[/C][C]0.218106[/C][C]0.436212[/C][C]0.781894[/C][/ROW]
[ROW][C]209[/C][C]0.420398[/C][C]0.840796[/C][C]0.579602[/C][/ROW]
[ROW][C]210[/C][C]0.684348[/C][C]0.631303[/C][C]0.315652[/C][/ROW]
[ROW][C]211[/C][C]0.668642[/C][C]0.662715[/C][C]0.331358[/C][/ROW]
[ROW][C]212[/C][C]0.680974[/C][C]0.638051[/C][C]0.319026[/C][/ROW]
[ROW][C]213[/C][C]0.644476[/C][C]0.711049[/C][C]0.355524[/C][/ROW]
[ROW][C]214[/C][C]0.863965[/C][C]0.27207[/C][C]0.136035[/C][/ROW]
[ROW][C]215[/C][C]0.860075[/C][C]0.27985[/C][C]0.139925[/C][/ROW]
[ROW][C]216[/C][C]0.840505[/C][C]0.31899[/C][C]0.159495[/C][/ROW]
[ROW][C]217[/C][C]0.81499[/C][C]0.37002[/C][C]0.18501[/C][/ROW]
[ROW][C]218[/C][C]0.819961[/C][C]0.360079[/C][C]0.180039[/C][/ROW]
[ROW][C]219[/C][C]0.797919[/C][C]0.404161[/C][C]0.202081[/C][/ROW]
[ROW][C]220[/C][C]0.775035[/C][C]0.44993[/C][C]0.224965[/C][/ROW]
[ROW][C]221[/C][C]0.740759[/C][C]0.518482[/C][C]0.259241[/C][/ROW]
[ROW][C]222[/C][C]0.8438[/C][C]0.3124[/C][C]0.1562[/C][/ROW]
[ROW][C]223[/C][C]0.817285[/C][C]0.36543[/C][C]0.182715[/C][/ROW]
[ROW][C]224[/C][C]0.812882[/C][C]0.374236[/C][C]0.187118[/C][/ROW]
[ROW][C]225[/C][C]0.787413[/C][C]0.425174[/C][C]0.212587[/C][/ROW]
[ROW][C]226[/C][C]0.759758[/C][C]0.480485[/C][C]0.240242[/C][/ROW]
[ROW][C]227[/C][C]0.723703[/C][C]0.552595[/C][C]0.276297[/C][/ROW]
[ROW][C]228[/C][C]0.683296[/C][C]0.633409[/C][C]0.316704[/C][/ROW]
[ROW][C]229[/C][C]0.730842[/C][C]0.538316[/C][C]0.269158[/C][/ROW]
[ROW][C]230[/C][C]0.690055[/C][C]0.619889[/C][C]0.309945[/C][/ROW]
[ROW][C]231[/C][C]0.652366[/C][C]0.695268[/C][C]0.347634[/C][/ROW]
[ROW][C]232[/C][C]0.610897[/C][C]0.778207[/C][C]0.389103[/C][/ROW]
[ROW][C]233[/C][C]0.584639[/C][C]0.830721[/C][C]0.415361[/C][/ROW]
[ROW][C]234[/C][C]0.540528[/C][C]0.918944[/C][C]0.459472[/C][/ROW]
[ROW][C]235[/C][C]0.633261[/C][C]0.733478[/C][C]0.366739[/C][/ROW]
[ROW][C]236[/C][C]0.592193[/C][C]0.815614[/C][C]0.407807[/C][/ROW]
[ROW][C]237[/C][C]0.740335[/C][C]0.519329[/C][C]0.259665[/C][/ROW]
[ROW][C]238[/C][C]0.701993[/C][C]0.596014[/C][C]0.298007[/C][/ROW]
[ROW][C]239[/C][C]0.670419[/C][C]0.659163[/C][C]0.329581[/C][/ROW]
[ROW][C]240[/C][C]0.731535[/C][C]0.53693[/C][C]0.268465[/C][/ROW]
[ROW][C]241[/C][C]0.692474[/C][C]0.615052[/C][C]0.307526[/C][/ROW]
[ROW][C]242[/C][C]0.670982[/C][C]0.658036[/C][C]0.329018[/C][/ROW]
[ROW][C]243[/C][C]0.622011[/C][C]0.755979[/C][C]0.377989[/C][/ROW]
[ROW][C]244[/C][C]0.708595[/C][C]0.582809[/C][C]0.291405[/C][/ROW]
[ROW][C]245[/C][C]0.77638[/C][C]0.447239[/C][C]0.22362[/C][/ROW]
[ROW][C]246[/C][C]0.736262[/C][C]0.527477[/C][C]0.263738[/C][/ROW]
[ROW][C]247[/C][C]0.75256[/C][C]0.49488[/C][C]0.24744[/C][/ROW]
[ROW][C]248[/C][C]0.7078[/C][C]0.584401[/C][C]0.2922[/C][/ROW]
[ROW][C]249[/C][C]0.664335[/C][C]0.671331[/C][C]0.335665[/C][/ROW]
[ROW][C]250[/C][C]0.605365[/C][C]0.78927[/C][C]0.394635[/C][/ROW]
[ROW][C]251[/C][C]0.543193[/C][C]0.913614[/C][C]0.456807[/C][/ROW]
[ROW][C]252[/C][C]0.489659[/C][C]0.979319[/C][C]0.510341[/C][/ROW]
[ROW][C]253[/C][C]0.435907[/C][C]0.871813[/C][C]0.564093[/C][/ROW]
[ROW][C]254[/C][C]0.701999[/C][C]0.596003[/C][C]0.298001[/C][/ROW]
[ROW][C]255[/C][C]0.674119[/C][C]0.651763[/C][C]0.325881[/C][/ROW]
[ROW][C]256[/C][C]0.611808[/C][C]0.776383[/C][C]0.388192[/C][/ROW]
[ROW][C]257[/C][C]0.557243[/C][C]0.885514[/C][C]0.442757[/C][/ROW]
[ROW][C]258[/C][C]0.483211[/C][C]0.966422[/C][C]0.516789[/C][/ROW]
[ROW][C]259[/C][C]0.512979[/C][C]0.974042[/C][C]0.487021[/C][/ROW]
[ROW][C]260[/C][C]0.435593[/C][C]0.871186[/C][C]0.564407[/C][/ROW]
[ROW][C]261[/C][C]0.358557[/C][C]0.717113[/C][C]0.641443[/C][/ROW]
[ROW][C]262[/C][C]0.514221[/C][C]0.971558[/C][C]0.485779[/C][/ROW]
[ROW][C]263[/C][C]0.812465[/C][C]0.375069[/C][C]0.187535[/C][/ROW]
[ROW][C]264[/C][C]0.971595[/C][C]0.0568098[/C][C]0.0284049[/C][/ROW]
[ROW][C]265[/C][C]0.964105[/C][C]0.0717898[/C][C]0.0358949[/C][/ROW]
[ROW][C]266[/C][C]0.931049[/C][C]0.137902[/C][C]0.0689508[/C][/ROW]
[ROW][C]267[/C][C]0.959347[/C][C]0.0813067[/C][C]0.0406533[/C][/ROW]
[ROW][C]268[/C][C]0.914268[/C][C]0.171465[/C][C]0.0857325[/C][/ROW]
[ROW][C]269[/C][C]0.852965[/C][C]0.29407[/C][C]0.147035[/C][/ROW]
[ROW][C]270[/C][C]0.812049[/C][C]0.375903[/C][C]0.187951[/C][/ROW]
[ROW][C]271[/C][C]0.919785[/C][C]0.16043[/C][C]0.080215[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=263722&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=263722&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
80.3729340.7458670.627066
90.776130.447740.22387
100.8488330.3023350.151167
110.7742410.4515180.225759
120.6882220.6235560.311778
130.6576410.6847170.342359
140.613630.772740.38637
150.7268430.5463140.273157
160.676830.6463390.32317
170.6593380.6813230.340662
180.5837950.832410.416205
190.524440.951120.47556
200.4791380.9582770.520862
210.5790830.8418340.420917
220.5146630.9706740.485337
230.4851530.9703060.514847
240.635890.7282190.36411
250.5716810.8566380.428319
260.5069870.9860250.493013
270.442860.885720.55714
280.4125420.8250840.587458
290.3529310.7058620.647069
300.3599970.7199940.640003
310.3100920.6201840.689908
320.2723960.5447910.727604
330.2261730.4523460.773827
340.2074460.4148920.792554
350.1793440.3586880.820656
360.267160.534320.73284
370.5168770.9662460.483123
380.501990.996020.49801
390.4582570.9165140.541743
400.498120.9962410.50188
410.4474870.8949740.552513
420.4152130.8304250.584787
430.4122470.8244950.587753
440.4221760.8443530.577824
450.4222360.8444710.577764
460.6527640.6944730.347236
470.629310.7413790.37069
480.5845520.8308950.415448
490.751350.4972990.24865
500.7153630.5692740.284637
510.6761470.6477050.323853
520.6722040.6555920.327796
530.6647090.6705810.335291
540.7502520.4994960.249748
550.8207090.3585820.179291
560.7913790.4172410.208621
570.7638470.4723060.236153
580.745460.509080.25454
590.7851010.4297970.214899
600.7731690.4536630.226831
610.7414380.5171240.258562
620.7570370.4859260.242963
630.8229760.3540480.177024
640.8089650.382070.191035
650.7972030.4055950.202797
660.7777390.4445220.222261
670.7477490.5045020.252251
680.7174960.5650080.282504
690.6884550.623090.311545
700.6605040.6789910.339496
710.6641840.6716320.335816
720.6277390.7445210.372261
730.6399810.7200380.360019
740.7806160.4387680.219384
750.8885720.2228560.111428
760.8746930.2506140.125307
770.8615570.2768870.138443
780.8401740.3196510.159826
790.8176430.3647140.182357
800.8039880.3920250.196012
810.776820.446360.22318
820.7538130.4923740.246187
830.7408980.5182050.259102
840.7179420.5641160.282058
850.713010.5739790.28699
860.6916890.6166220.308311
870.6676830.6646330.332317
880.7257820.5484350.274218
890.7166470.5667070.283353
900.7055510.5888980.294449
910.6946590.6106820.305341
920.6676780.6646430.332322
930.7103690.5792620.289631
940.6866760.6266480.313324
950.660250.67950.33975
960.6334240.7331510.366576
970.6002690.7994630.399731
980.5895820.8208350.410418
990.7096880.5806230.290312
1000.7730720.4538560.226928
1010.7555920.4888160.244408
1020.7346350.5307290.265365
1030.7357140.5285710.264286
1040.7533290.4933420.246671
1050.745540.508920.25446
1060.7293190.5413610.270681
1070.7741480.4517030.225852
1080.7473810.5052380.252619
1090.7537060.4925880.246294
1100.7823050.435390.217695
1110.7575280.4849440.242472
1120.9207020.1585950.0792977
1130.9101430.1797140.0898571
1140.9195110.1609780.0804892
1150.9182110.1635770.0817887
1160.9105070.1789860.089493
1170.9106250.1787510.0893754
1180.8979660.2040680.102034
1190.8832170.2335670.116783
1200.8665840.2668330.133416
1210.8535240.2929530.146476
1220.8408550.318290.159145
1230.8714090.2571820.128591
1240.865070.269860.13493
1250.8476920.3046160.152308
1260.8629110.2741790.137089
1270.8632110.2735780.136789
1280.914310.1713810.0856903
1290.9011110.1977780.0988888
1300.9015860.1968280.0984141
1310.8958760.2082480.104124
1320.8795710.2408570.120429
1330.8657630.2684730.134237
1340.849220.301560.15078
1350.8464030.3071950.153597
1360.8281580.3436850.171842
1370.8287360.3425270.171264
1380.8907650.2184690.109235
1390.8750150.2499710.124985
1400.8645360.2709290.135464
1410.923360.1532810.0766404
1420.9165240.1669520.083476
1430.902590.1948210.0974105
1440.895240.209520.10476
1450.8821920.2356160.117808
1460.8642060.2715880.135794
1470.8480790.3038410.151921
1480.8308280.3383450.169172
1490.8130310.3739380.186969
1500.7888940.4222120.211106
1510.764340.4713190.23566
1520.7405020.5189970.259498
1530.7153220.5693560.284678
1540.6989590.6020820.301041
1550.6689920.6620160.331008
1560.6384080.7231840.361592
1570.6201320.7597370.379868
1580.5871710.8256580.412829
1590.5538430.8923150.446157
1600.5425570.9148860.457443
1610.5265180.9469640.473482
1620.5113570.9772860.488643
1630.4773920.9547840.522608
1640.4718820.9437630.528118
1650.5952590.8094810.404741
1660.582430.8351390.41757
1670.5488090.9023820.451191
1680.5141090.9717810.485891
1690.5240080.9519850.475992
1700.5007070.9985860.499293
1710.5283670.9432660.471633
1720.4929780.9859570.507022
1730.4918020.9836040.508198
1740.4565430.9130860.543457
1750.4215830.8431650.578417
1760.3910910.7821830.608909
1770.3709890.7419770.629011
1780.3545610.7091220.645439
1790.3329090.6658170.667091
1800.5158650.968270.484135
1810.537340.925320.46266
1820.6319090.7361810.368091
1830.5992520.8014970.400748
1840.5700960.8598090.429904
1850.5458310.9083390.454169
1860.5101650.979670.489835
1870.4868980.9737960.513102
1880.4713170.9426340.528683
1890.4851320.9702640.514868
1900.4615540.9231090.538446
1910.428350.85670.57165
1920.3964640.7929280.603536
1930.3855220.7710430.614478
1940.3500130.7000270.649987
1950.4163070.8326130.583693
1960.3974130.7948260.602587
1970.3613250.722650.638675
1980.3435680.6871350.656432
1990.3425270.6850540.657473
2000.3081020.6162050.691898
2010.321010.6420190.67899
2020.3005090.6010170.699491
2030.2762180.5524350.723782
2040.2596510.5193020.740349
2050.2740420.5480830.725958
2060.244510.489020.75549
2070.245660.4913190.75434
2080.2181060.4362120.781894
2090.4203980.8407960.579602
2100.6843480.6313030.315652
2110.6686420.6627150.331358
2120.6809740.6380510.319026
2130.6444760.7110490.355524
2140.8639650.272070.136035
2150.8600750.279850.139925
2160.8405050.318990.159495
2170.814990.370020.18501
2180.8199610.3600790.180039
2190.7979190.4041610.202081
2200.7750350.449930.224965
2210.7407590.5184820.259241
2220.84380.31240.1562
2230.8172850.365430.182715
2240.8128820.3742360.187118
2250.7874130.4251740.212587
2260.7597580.4804850.240242
2270.7237030.5525950.276297
2280.6832960.6334090.316704
2290.7308420.5383160.269158
2300.6900550.6198890.309945
2310.6523660.6952680.347634
2320.6108970.7782070.389103
2330.5846390.8307210.415361
2340.5405280.9189440.459472
2350.6332610.7334780.366739
2360.5921930.8156140.407807
2370.7403350.5193290.259665
2380.7019930.5960140.298007
2390.6704190.6591630.329581
2400.7315350.536930.268465
2410.6924740.6150520.307526
2420.6709820.6580360.329018
2430.6220110.7559790.377989
2440.7085950.5828090.291405
2450.776380.4472390.22362
2460.7362620.5274770.263738
2470.752560.494880.24744
2480.70780.5844010.2922
2490.6643350.6713310.335665
2500.6053650.789270.394635
2510.5431930.9136140.456807
2520.4896590.9793190.510341
2530.4359070.8718130.564093
2540.7019990.5960030.298001
2550.6741190.6517630.325881
2560.6118080.7763830.388192
2570.5572430.8855140.442757
2580.4832110.9664220.516789
2590.5129790.9740420.487021
2600.4355930.8711860.564407
2610.3585570.7171130.641443
2620.5142210.9715580.485779
2630.8124650.3750690.187535
2640.9715950.05680980.0284049
2650.9641050.07178980.0358949
2660.9310490.1379020.0689508
2670.9593470.08130670.0406533
2680.9142680.1714650.0857325
2690.8529650.294070.147035
2700.8120490.3759030.187951
2710.9197850.160430.080215






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level00OK
10% type I error level30.0113636OK

\begin{tabular}{lllllllll}
\hline
Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
Description & # significant tests & % significant tests & OK/NOK \tabularnewline
1% type I error level & 0 & 0 & OK \tabularnewline
5% type I error level & 0 & 0 & OK \tabularnewline
10% type I error level & 3 & 0.0113636 & OK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=263722&T=6

[TABLE]
[ROW][C]Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity[/C][/ROW]
[ROW][C]Description[/C][C]# significant tests[/C][C]% significant tests[/C][C]OK/NOK[/C][/ROW]
[ROW][C]1% type I error level[/C][C]0[/C][C]0[/C][C]OK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]0[/C][C]0[/C][C]OK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]3[/C][C]0.0113636[/C][C]OK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=263722&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=263722&T=6

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


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

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level00OK
10% type I error level30.0113636OK


Figures (Output of Computation)

Figure 1
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Figure 2
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Figure 3
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Figure 4
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Figure 5
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Figure 6
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Figure 7
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Figure 8
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Figure 9
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Figure 10
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Input Parameters & R Code

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