FreeStatistics.org

Free Statistics

of Irreproducible Research!

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 computationFri, 12 Dec 2014 10:56:18 +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/12/t14183819363y7wlganx1t4r4i.htm/, Retrieved Thu, 16 May 2024 10:58:26 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=266499, Retrieved Thu, 16 May 2024 10:58:26 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact81

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Multiple Regression] [] [2014-12-11 23:12:41] [02fb6cbf799bcf1e525e4e01c2f27ada]
- R  D    [Multiple Regression] [] [2014-12-12 10:56:18] [ec71b09431fe59ba6fc828a3f51756a9] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1	11,11	12,9
1	15,89	7,4
1	13,52	12,2
1	13,19	12,8
1	7,41	7,4
1	14,19	6,7
1	6,93	12,6
1	10,96	14,8
1	15,22	13,3
1	9,74	11,1
1	11,26	8,2
1	12,00	11,4
1	8,81	6,4
1	10,96	10,6
1	11,52	12,0
1	7,96	6,3
0	8,41	11,3
1	11,52	11,9
1	12,89	9,3
0	11,67	9,6
1	8,81	10,0
1	9,15	6,4
1	12,74	13,8
1	11,81	10,8
1	10,85	13,8
1	14,19	11,7
1	4,00	10,9
0	17,78	16,1
0	10,96	13,4
1	14,30	9,9
1	9,56	11,5
1	9,85	8,3
1	11,52	11,7
1	15,52	6,1
1	14,19	9,0
1	10,11	9,7
1	12,93	10,8
1	13,59	10,3
1	4,89	10,4
0	7,15	12,7
1	12,96	9,3
1	15,85	11,8
1	13,48	5,9
1	14,85	11,4
1	14,41	13,0
1	14,67	10,8
0	11,56	12,3
1	13,33	11,3
1	8,63	11,8
0	11,74	7,9
1	8,52	12,7
0	16,04	12,3
0	14,85	11,6
0	8,59	6,7
1	14,37	10,9
0	10,00	12,1
1	8,93	13,3
1	17,56	10,1
0	13,37	5,7
1	6,33	14,3
0	4,00	8,0
0	16,89	13,3
1	16,56	9,3
1	13,04	12,5
1	14,89	7,6
1	10,67	15,9
1	11,52	9,2
0	13,07	9,1
1	12,70	11,1
1	12,00	13,0
1	10,41	14,5
0	10,56	12,2
1	14,52	12,3
1	10,41	11,4
0	12,19	8,8
0	14,63	14,6
1	15,89	7,3
1	5,81	12,6
1	17,30	NA
1	7,44	13,0
0	13,67	12,6
1	10,41	13,2
0	5,26	9,9
1	14,70	7,7
0	14,41	10,5
0	4,89	13,4
0	14,26	10,9
0	11,70	4,3
0	5,44	10,3
0	11,41	11,8
0	10,30	11,2
0	13,74	11,4
0	13,85	8,6
0	9,96	13,2
0	12,56	12,6
0	13,00	5,6
0	10,70	9,9
0	13,70	8,8
0	10,37	7,7
0	10,52	9,0
0	14,89	7,3
0	14,63	11,4
0	14,96	13,6
0	13,93	7,9
0	13,78	10,7
0	11,37	10,3
0	2,89	8,3
0	8,37	9,6
0	9,63	14,2
0	5,44	8,5
0	4,30	13,5
0	8,15	4,9
0	11,19	6,4
0	8,89	9,6
0	10,41	11,6
0	11,89	11,1
1	14,59	4,35
1	15,81	12,7
1	13,37	18,1
1	17,67	17,85
0	19,26	16,6
0	8,56	12,6
1	16,74	17,1
1	16,19	19,1
1	13,33	16,1
1	8,93	13,35
1	11,56	18,4
1	14,07	14,7
1	12,11	10,6
1	8,78	12,6
1	10,78	16,2
1	8,22	13,6
0	13,11	18,9
1	16,63	14,1
1	17,63	14,5
1	8,00	16,15
1	10,78	14,75
1	11,93	14,8
1	11,41	12,45
1	11,85	12,65
1	16,15	17,35
1	10,22	8,6
1	13,00	18,4
1	11,74	16,1
0	13,56	11,6
1	13,07	17,75
1	1,11	15,25
1	14,85	17,65
1	5,81	15,6
1	14,59	16,35
1	10,78	17,65
1	7,81	13,6
1	5,48	11,7
1	8,00	14,35
1	4,00	14,75
1	17,07	18,25
1	8,41	9,9
1	13,67	16
1	14,41	18,25
1	10,41	16,85
0	15,56	14,6
0	12,07	13,85
1	18,67	18,95
1	14,59	15,6
0	16,15	14,85
0	10,22	11,75
0	17,30	18,45
0	13,33	15,9
1	10,04	17,1
1	14,85	16,1
0	16,96	19,9
0	15,04	10,95
0	16,56	18,45
0	16,33	15,1
0	11,56	15
0	14,44	11,35
0	17,85	15,95
0	10,22	18,1
0	15,00	14,6
1	16,85	15,4
1	16,85	15,4
0	11,74	17,6
1	12,85	13,35
1	8,96	19,1
0	11,33	15,35
1	11,67	7,6
0	14,44	13,4
0	7,63	13,9
1	13,63	19,1
0	9,07	15,25
0	10,96	12,9
0	14,56	16,1
0	14,56	17,35
0	14,56	13,15
0	14,19	12,15
0	7,52	12,6
0	15,85	10,35
0	6,44	15,4
0	12,33	9,6
0	8,41	18,2
0	9,04	13,6
0	19,33	14,85
1	13,41	14,75
0	1,67	14,1
0	9,89	14,9
0	13,11	16,25
1	13,33	19,25
0	11,04	13,6
1	11,00	13,6
0	9,89	15,65
1	11,15	12,75
0	13,74	14,6
1	9,41	9,85
0	13,52	12,65
0	8,59	11,9
0	0,00	19,2
0	9,67	16,6
0	15,33	11,2
1	14,11	15,25
1	8,67	11,9
0	10,07	13,2
1	13,63	16,35
1	6,74	12,4
0	9,44	15,85
1	6,56	14,35
1	16,00	18,15
0	14,78	11,15
0	16,33	15,65
1	11,33	17,75
0	9,15	7,65
1	18,19	12,35
1	8,15	15,6
1	12,85	19,3
0	11,63	15,2
1	9,00	17,1
0	15,41	15,6
1	13,33	18,4
1	10,59	19,05
1	1,48	18,55
1	13,07	19,1
0	15,19	13,1
1	11,19	12,85
1	1,48	9,5
1	14,44	4,5
0	12,19	11,85
1	9,33	13,6
1	1,11	11,7
0	7,48	12,4
1	15,19	13,35
0	9,48	11,4
0	10,93	14,9
0	16,96	19,9
1	15,41	17,75
0	15,81	11,2
0	14,04	14,6
1	9,11	17,6
1	10,19	14,05
1	12,96	16,1
1	11,37	13,35
1	13,67	11,85
1	10,44	11,95
0	14,04	14,75
0	9,15	15,15
1	17,52	13,2
0	15,30	16,85
0	14,78	7,85
1	11,11	7,7
0	9,44	12,6
0	8,74	7,85
0	15,04	10,95
0	15,67	12,35
0	5,11	9,95
0	10,93	14,9
0	9,85	16,65
0	16,22	13,4
0	9,07	13,95
0	7,81	15,7
0	17,89	16,85
0	13,30	10,95
0	6,70	15,35
0	16,85	12,2
0	0,93	15,1
0	15,85	17,75
0	12,07	15,2
1	13,89	14,6
0	11,63	16,65
0	13,22	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=266499&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=266499&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266499&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
Bin_Course_id[t] = + 0.436053 -0.00234064Totaal[t] + 0.00869598TOT[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
Bin_Course_id[t] =  +  0.436053 -0.00234064Totaal[t] +  0.00869598TOT[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266499&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]Bin_Course_id[t] =  +  0.436053 -0.00234064Totaal[t] +  0.00869598TOT[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266499&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266499&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
Bin_Course_id[t] = + 0.436053 -0.00234064Totaal[t] + 0.00869598TOT[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)0.4360530.1430233.0490.002514730.00125736
Totaal-0.002340640.00817607-0.28630.7748740.387437
TOT0.008695980.008734810.99560.3203170.160158

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Ordinary Least Squares \tabularnewline
Variable & Parameter & S.D. & T-STATH0: parameter = 0 & 2-tail p-value & 1-tail p-value \tabularnewline
(Intercept) & 0.436053 & 0.143023 & 3.049 & 0.00251473 & 0.00125736 \tabularnewline
Totaal & -0.00234064 & 0.00817607 & -0.2863 & 0.774874 & 0.387437 \tabularnewline
TOT & 0.00869598 & 0.00873481 & 0.9956 & 0.320317 & 0.160158 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266499&T=2

[TABLE]
[ROW][C]Multiple Linear Regression - Ordinary Least Squares[/C][/ROW]
[ROW][C]Variable[/C][C]Parameter[/C][C]S.D.[/C][C]T-STATH0: parameter = 0[/C][C]2-tail p-value[/C][C]1-tail p-value[/C][/ROW]
[ROW][C](Intercept)[/C][C]0.436053[/C][C]0.143023[/C][C]3.049[/C][C]0.00251473[/C][C]0.00125736[/C][/ROW]
[ROW][C]Totaal[/C][C]-0.00234064[/C][C]0.00817607[/C][C]-0.2863[/C][C]0.774874[/C][C]0.387437[/C][/ROW]
[ROW][C]TOT[/C][C]0.00869598[/C][C]0.00873481[/C][C]0.9956[/C][C]0.320317[/C][C]0.160158[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266499&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266499&T=2

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


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

Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)0.4360530.1430233.0490.002514730.00125736
Totaal-0.002340640.00817607-0.28630.7748740.387437
TOT0.008695980.008734810.99560.3203170.160158






Multiple Linear Regression - Regression Statistics
Multiple R0.0599824
R-squared0.00359788
Adjusted R-squared-0.00344383
F-TEST (value)0.510939
F-TEST (DF numerator)2
F-TEST (DF denominator)283
p-value0.600485
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.501296
Sum Squared Residuals71.1173

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.0599824 \tabularnewline
R-squared & 0.00359788 \tabularnewline
Adjusted R-squared & -0.00344383 \tabularnewline
F-TEST (value) & 0.510939 \tabularnewline
F-TEST (DF numerator) & 2 \tabularnewline
F-TEST (DF denominator) & 283 \tabularnewline
p-value & 0.600485 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 0.501296 \tabularnewline
Sum Squared Residuals & 71.1173 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266499&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.0599824[/C][/ROW]
[ROW][C]R-squared[/C][C]0.00359788[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]-0.00344383[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]0.510939[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]2[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]283[/C][/ROW]
[ROW][C]p-value[/C][C]0.600485[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]0.501296[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]71.1173[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266499&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266499&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 R0.0599824
R-squared0.00359788
Adjusted R-squared-0.00344383
F-TEST (value)0.510939
F-TEST (DF numerator)2
F-TEST (DF denominator)283
p-value0.600485
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.501296
Sum Squared Residuals71.1173






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
110.5222270.477773
210.4632110.536789
310.5104990.489501
410.5164890.483511
510.4830590.516941
610.4611030.538897
710.5294020.470598
810.53910.4609
910.5160850.483915
1010.5097810.490219
1110.4810050.518995
1210.50710.4929
1310.4710870.528913
1410.5025770.497423
1510.5134410.486559
1610.4722060.527794
1700.514633-0.514633
1810.5125710.487429
1910.4867550.513245
2000.492219-0.492219
2110.5023920.497608
2210.4702910.529709
2310.5262380.473762
2410.5023270.497673
2510.5306620.469338
2610.5045830.495417
2710.5214770.478523
2800.534442-0.534442
2900.526926-0.526926
3010.4886720.511328
3110.5136810.486319
3210.4851750.514825
3310.5108320.489168
3410.4527720.547228
3510.4811030.518897
3610.496740.50326
3710.4997050.500295
3810.4938130.506187
3910.5150460.484954
4000.529757-0.529757
4110.4865910.513409
4210.5015670.498433
4310.4558080.544192
4410.5004290.499571
4510.5153720.484628
4610.4956330.504367
4700.515956-0.515956
4810.5031170.496883
4910.5184660.481534
5000.477272-0.477272
5110.526550.47345
5200.50547-0.50547
5300.502168-0.502168
5400.47421-0.47421
5510.4972050.502795
5600.517868-0.517868
5710.5308080.469192
5810.4827810.517219
5900.454326-0.454326
6010.545590.45441
6100.496259-0.496259
6200.512176-0.512176
6310.4781650.521835
6410.5142310.485769
6510.4672910.532709
6610.5493450.450655
6710.4890920.510908
6800.484595-0.484595
6910.5028530.497147
7010.5210130.478987
7110.5377790.462221
7200.517427-0.517427
7310.5090280.490972
7410.5108210.489179
7500.484046-0.484046
7600.528771-0.528771
7710.4623410.537659
7810.5320240.467976
7910.5316870.468313
8011.51363-0.513626
810-0.4735260.473526
8211.50983-0.509832
830-0.5313950.531395
8411.49363-0.493633
8500.541134-0.541134
8600.497462-0.497462
8700.446061-0.446061
8800.512889-0.512889
8900.511959-0.511959
9000.50934-0.50934
9100.503027-0.503027
9200.478421-0.478421
9300.527528-0.527528
9400.516224-0.516224
9500.454322-0.454322
9600.497099-0.497099
9700.480511-0.480511
9800.47874-0.47874
9900.489694-0.489694
10000.464682-0.464682
10100.500944-0.500944
10200.519303-0.519303
10300.472146-0.472146
10400.496846-0.496846
10500.499009-0.499009
10600.501465-0.501465
10700.499944-0.499944
10800.536996-0.536996
10900.497236-0.497236
11000.543384-0.543384
11100.459587-0.459587
11200.465516-0.465516
11300.498726-0.498726
11400.512561-0.512561
11500.504749-0.504749
1160-0.5602690.560269
11710.5094870.490513
11810.5621560.437844
11910.5499180.450082
12011.53533-0.535326
12100.525587-0.525587
1220-0.4544280.454428
12310.5642520.435748
12410.5448580.455142
12510.5312430.468757
12610.5690020.430998
12710.5309510.469049
12810.4998860.500114
12910.5250720.474928
13010.5516960.448304
13110.5350790.464921
13211.56972-0.569722
1330-0.4802580.480258
13410.520880.47912
13510.5577680.442232
13610.5390870.460913
13710.536830.46317
13810.5176120.482388
13910.5183210.481679
14010.5491270.450873
14110.4869170.513083
14210.5656310.434369
14310.548580.45142
14411.50519-0.505188
1450-0.4401850.440185
14610.5660690.433931
14710.5547790.445221
14810.5581120.441888
14910.5440830.455917
15010.5643050.435695
15110.5360380.463962
15210.524970.47503
15310.5421160.457884
15410.5549560.445044
15510.55480.4452
15610.5024590.497541
15710.5431920.456808
15810.5610260.438974
15910.5582150.441785
16011.52659-0.526594
16100.528241-0.528241
1620-0.4428580.442858
16310.5375610.462439
16411.52739-0.527387
16500.51431-0.51431
16600.556001-0.556001
16700.543119-0.543119
1680-0.4387450.438745
16910.54130.4587
17011.56941-0.569406
17100.496071-0.496071
17200.557733-0.557733
17300.52914-0.52914
17400.539435-0.539435
17500.500954-0.500954
17600.532974-0.532974
17700.569529-0.569529
17800.527905-0.527905
1790-0.4694680.469468
18010.5305320.469468
18111.56162-0.561624
1820-0.4779330.477933
18310.5811740.418826
18411.54302-0.543017
1850-0.5251720.525172
18611.51878-0.518781
18700.539068-0.539068
1880-0.4297560.429756
18911.54744-0.547437
19000.522578-0.522578
19100.541979-0.541979
19200.552849-0.552849
19300.516326-0.516326
19400.508496-0.508496
19500.528021-0.528021
19600.488958-0.488958
19700.554898-0.554898
19800.490675-0.490675
19900.574635-0.574635
20000.533159-0.533159
20100.519944-0.519944
2020-0.4670690.467069
20311.55476-0.554758
20400.542475-0.542475
20500.546677-0.546677
2060-0.427750.42775
20711.52848-0.528478
2080-0.4714280.471428
20911.549-0.548997
2100-0.4791710.479171
21111.53085-0.530854
2120-0.5003170.500317
21311.51441-0.514412
21400.519429-0.519429
21500.603016-0.603016
21600.557773-0.557773
21700.497566-0.497566
2180-0.4643590.464359
21910.5192420.480758
22011.52727-0.52727
2210-0.453670.45367
22210.5281080.471892
22311.55179-0.551789
2240-0.4545140.454514
22510.5564350.443565
22611.49842-0.498419
22700.533923-0.533923
2280-0.4361120.436112
22911.48116-0.481161
2300-0.4991280.499128
23110.5526340.447366
23210.5738090.426191
23311.54101-0.541011
2340-0.4363110.436311
23511.53564-0.535641
2360-0.4351410.435141
23710.5769240.423076
23810.59390.4061
23910.5715540.428446
24011.51442-0.514416
2410-0.4783950.478395
24210.5152010.484799
24310.4413860.558614
24411.51057-0.510568
2450-0.4675190.467519
24610.5351980.464802
24711.52638-0.526375
2480-0.483410.48341
24911.513-0.512998
25000.54004-0.54004
25100.569406-0.569406
2520-0.4456620.445662
25311.49644-0.496443
25400.530152-0.530152
2550-0.4322210.432221
25610.5343810.465619
25710.5457240.454276
25810.5255320.474468
25910.5071040.492896
26010.5155340.484466
26111.53146-0.531456
26200.546381-0.546381
2630-0.4901680.490168
26411.54677-0.546769
26500.469722-0.469722
2660-0.5229920.522992
26711.52353-0.523527
26800.48386-0.48386
26900.496071-0.496071
27000.506771-0.506771
27100.510618-0.510618
27200.54004-0.54004
27300.557786-0.557786
27400.514614-0.514614
27500.536133-0.536133
27600.5543-0.5543
27700.540707-0.540707
27800.500144-0.500144
27900.553854-0.553854
28000.502705-0.502705
28100.565186-0.565186
28200.553308-0.553308
28300.539981-0.539981
2840-0.4694970.469497
28511.55362-0.55362
28600.475548-0.475548
2870NANA

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 1 & 0.522227 & 0.477773 \tabularnewline
2 & 1 & 0.463211 & 0.536789 \tabularnewline
3 & 1 & 0.510499 & 0.489501 \tabularnewline
4 & 1 & 0.516489 & 0.483511 \tabularnewline
5 & 1 & 0.483059 & 0.516941 \tabularnewline
6 & 1 & 0.461103 & 0.538897 \tabularnewline
7 & 1 & 0.529402 & 0.470598 \tabularnewline
8 & 1 & 0.5391 & 0.4609 \tabularnewline
9 & 1 & 0.516085 & 0.483915 \tabularnewline
10 & 1 & 0.509781 & 0.490219 \tabularnewline
11 & 1 & 0.481005 & 0.518995 \tabularnewline
12 & 1 & 0.5071 & 0.4929 \tabularnewline
13 & 1 & 0.471087 & 0.528913 \tabularnewline
14 & 1 & 0.502577 & 0.497423 \tabularnewline
15 & 1 & 0.513441 & 0.486559 \tabularnewline
16 & 1 & 0.472206 & 0.527794 \tabularnewline
17 & 0 & 0.514633 & -0.514633 \tabularnewline
18 & 1 & 0.512571 & 0.487429 \tabularnewline
19 & 1 & 0.486755 & 0.513245 \tabularnewline
20 & 0 & 0.492219 & -0.492219 \tabularnewline
21 & 1 & 0.502392 & 0.497608 \tabularnewline
22 & 1 & 0.470291 & 0.529709 \tabularnewline
23 & 1 & 0.526238 & 0.473762 \tabularnewline
24 & 1 & 0.502327 & 0.497673 \tabularnewline
25 & 1 & 0.530662 & 0.469338 \tabularnewline
26 & 1 & 0.504583 & 0.495417 \tabularnewline
27 & 1 & 0.521477 & 0.478523 \tabularnewline
28 & 0 & 0.534442 & -0.534442 \tabularnewline
29 & 0 & 0.526926 & -0.526926 \tabularnewline
30 & 1 & 0.488672 & 0.511328 \tabularnewline
31 & 1 & 0.513681 & 0.486319 \tabularnewline
32 & 1 & 0.485175 & 0.514825 \tabularnewline
33 & 1 & 0.510832 & 0.489168 \tabularnewline
34 & 1 & 0.452772 & 0.547228 \tabularnewline
35 & 1 & 0.481103 & 0.518897 \tabularnewline
36 & 1 & 0.49674 & 0.50326 \tabularnewline
37 & 1 & 0.499705 & 0.500295 \tabularnewline
38 & 1 & 0.493813 & 0.506187 \tabularnewline
39 & 1 & 0.515046 & 0.484954 \tabularnewline
40 & 0 & 0.529757 & -0.529757 \tabularnewline
41 & 1 & 0.486591 & 0.513409 \tabularnewline
42 & 1 & 0.501567 & 0.498433 \tabularnewline
43 & 1 & 0.455808 & 0.544192 \tabularnewline
44 & 1 & 0.500429 & 0.499571 \tabularnewline
45 & 1 & 0.515372 & 0.484628 \tabularnewline
46 & 1 & 0.495633 & 0.504367 \tabularnewline
47 & 0 & 0.515956 & -0.515956 \tabularnewline
48 & 1 & 0.503117 & 0.496883 \tabularnewline
49 & 1 & 0.518466 & 0.481534 \tabularnewline
50 & 0 & 0.477272 & -0.477272 \tabularnewline
51 & 1 & 0.52655 & 0.47345 \tabularnewline
52 & 0 & 0.50547 & -0.50547 \tabularnewline
53 & 0 & 0.502168 & -0.502168 \tabularnewline
54 & 0 & 0.47421 & -0.47421 \tabularnewline
55 & 1 & 0.497205 & 0.502795 \tabularnewline
56 & 0 & 0.517868 & -0.517868 \tabularnewline
57 & 1 & 0.530808 & 0.469192 \tabularnewline
58 & 1 & 0.482781 & 0.517219 \tabularnewline
59 & 0 & 0.454326 & -0.454326 \tabularnewline
60 & 1 & 0.54559 & 0.45441 \tabularnewline
61 & 0 & 0.496259 & -0.496259 \tabularnewline
62 & 0 & 0.512176 & -0.512176 \tabularnewline
63 & 1 & 0.478165 & 0.521835 \tabularnewline
64 & 1 & 0.514231 & 0.485769 \tabularnewline
65 & 1 & 0.467291 & 0.532709 \tabularnewline
66 & 1 & 0.549345 & 0.450655 \tabularnewline
67 & 1 & 0.489092 & 0.510908 \tabularnewline
68 & 0 & 0.484595 & -0.484595 \tabularnewline
69 & 1 & 0.502853 & 0.497147 \tabularnewline
70 & 1 & 0.521013 & 0.478987 \tabularnewline
71 & 1 & 0.537779 & 0.462221 \tabularnewline
72 & 0 & 0.517427 & -0.517427 \tabularnewline
73 & 1 & 0.509028 & 0.490972 \tabularnewline
74 & 1 & 0.510821 & 0.489179 \tabularnewline
75 & 0 & 0.484046 & -0.484046 \tabularnewline
76 & 0 & 0.528771 & -0.528771 \tabularnewline
77 & 1 & 0.462341 & 0.537659 \tabularnewline
78 & 1 & 0.532024 & 0.467976 \tabularnewline
79 & 1 & 0.531687 & 0.468313 \tabularnewline
80 & 1 & 1.51363 & -0.513626 \tabularnewline
81 & 0 & -0.473526 & 0.473526 \tabularnewline
82 & 1 & 1.50983 & -0.509832 \tabularnewline
83 & 0 & -0.531395 & 0.531395 \tabularnewline
84 & 1 & 1.49363 & -0.493633 \tabularnewline
85 & 0 & 0.541134 & -0.541134 \tabularnewline
86 & 0 & 0.497462 & -0.497462 \tabularnewline
87 & 0 & 0.446061 & -0.446061 \tabularnewline
88 & 0 & 0.512889 & -0.512889 \tabularnewline
89 & 0 & 0.511959 & -0.511959 \tabularnewline
90 & 0 & 0.50934 & -0.50934 \tabularnewline
91 & 0 & 0.503027 & -0.503027 \tabularnewline
92 & 0 & 0.478421 & -0.478421 \tabularnewline
93 & 0 & 0.527528 & -0.527528 \tabularnewline
94 & 0 & 0.516224 & -0.516224 \tabularnewline
95 & 0 & 0.454322 & -0.454322 \tabularnewline
96 & 0 & 0.497099 & -0.497099 \tabularnewline
97 & 0 & 0.480511 & -0.480511 \tabularnewline
98 & 0 & 0.47874 & -0.47874 \tabularnewline
99 & 0 & 0.489694 & -0.489694 \tabularnewline
100 & 0 & 0.464682 & -0.464682 \tabularnewline
101 & 0 & 0.500944 & -0.500944 \tabularnewline
102 & 0 & 0.519303 & -0.519303 \tabularnewline
103 & 0 & 0.472146 & -0.472146 \tabularnewline
104 & 0 & 0.496846 & -0.496846 \tabularnewline
105 & 0 & 0.499009 & -0.499009 \tabularnewline
106 & 0 & 0.501465 & -0.501465 \tabularnewline
107 & 0 & 0.499944 & -0.499944 \tabularnewline
108 & 0 & 0.536996 & -0.536996 \tabularnewline
109 & 0 & 0.497236 & -0.497236 \tabularnewline
110 & 0 & 0.543384 & -0.543384 \tabularnewline
111 & 0 & 0.459587 & -0.459587 \tabularnewline
112 & 0 & 0.465516 & -0.465516 \tabularnewline
113 & 0 & 0.498726 & -0.498726 \tabularnewline
114 & 0 & 0.512561 & -0.512561 \tabularnewline
115 & 0 & 0.504749 & -0.504749 \tabularnewline
116 & 0 & -0.560269 & 0.560269 \tabularnewline
117 & 1 & 0.509487 & 0.490513 \tabularnewline
118 & 1 & 0.562156 & 0.437844 \tabularnewline
119 & 1 & 0.549918 & 0.450082 \tabularnewline
120 & 1 & 1.53533 & -0.535326 \tabularnewline
121 & 0 & 0.525587 & -0.525587 \tabularnewline
122 & 0 & -0.454428 & 0.454428 \tabularnewline
123 & 1 & 0.564252 & 0.435748 \tabularnewline
124 & 1 & 0.544858 & 0.455142 \tabularnewline
125 & 1 & 0.531243 & 0.468757 \tabularnewline
126 & 1 & 0.569002 & 0.430998 \tabularnewline
127 & 1 & 0.530951 & 0.469049 \tabularnewline
128 & 1 & 0.499886 & 0.500114 \tabularnewline
129 & 1 & 0.525072 & 0.474928 \tabularnewline
130 & 1 & 0.551696 & 0.448304 \tabularnewline
131 & 1 & 0.535079 & 0.464921 \tabularnewline
132 & 1 & 1.56972 & -0.569722 \tabularnewline
133 & 0 & -0.480258 & 0.480258 \tabularnewline
134 & 1 & 0.52088 & 0.47912 \tabularnewline
135 & 1 & 0.557768 & 0.442232 \tabularnewline
136 & 1 & 0.539087 & 0.460913 \tabularnewline
137 & 1 & 0.53683 & 0.46317 \tabularnewline
138 & 1 & 0.517612 & 0.482388 \tabularnewline
139 & 1 & 0.518321 & 0.481679 \tabularnewline
140 & 1 & 0.549127 & 0.450873 \tabularnewline
141 & 1 & 0.486917 & 0.513083 \tabularnewline
142 & 1 & 0.565631 & 0.434369 \tabularnewline
143 & 1 & 0.54858 & 0.45142 \tabularnewline
144 & 1 & 1.50519 & -0.505188 \tabularnewline
145 & 0 & -0.440185 & 0.440185 \tabularnewline
146 & 1 & 0.566069 & 0.433931 \tabularnewline
147 & 1 & 0.554779 & 0.445221 \tabularnewline
148 & 1 & 0.558112 & 0.441888 \tabularnewline
149 & 1 & 0.544083 & 0.455917 \tabularnewline
150 & 1 & 0.564305 & 0.435695 \tabularnewline
151 & 1 & 0.536038 & 0.463962 \tabularnewline
152 & 1 & 0.52497 & 0.47503 \tabularnewline
153 & 1 & 0.542116 & 0.457884 \tabularnewline
154 & 1 & 0.554956 & 0.445044 \tabularnewline
155 & 1 & 0.5548 & 0.4452 \tabularnewline
156 & 1 & 0.502459 & 0.497541 \tabularnewline
157 & 1 & 0.543192 & 0.456808 \tabularnewline
158 & 1 & 0.561026 & 0.438974 \tabularnewline
159 & 1 & 0.558215 & 0.441785 \tabularnewline
160 & 1 & 1.52659 & -0.526594 \tabularnewline
161 & 0 & 0.528241 & -0.528241 \tabularnewline
162 & 0 & -0.442858 & 0.442858 \tabularnewline
163 & 1 & 0.537561 & 0.462439 \tabularnewline
164 & 1 & 1.52739 & -0.527387 \tabularnewline
165 & 0 & 0.51431 & -0.51431 \tabularnewline
166 & 0 & 0.556001 & -0.556001 \tabularnewline
167 & 0 & 0.543119 & -0.543119 \tabularnewline
168 & 0 & -0.438745 & 0.438745 \tabularnewline
169 & 1 & 0.5413 & 0.4587 \tabularnewline
170 & 1 & 1.56941 & -0.569406 \tabularnewline
171 & 0 & 0.496071 & -0.496071 \tabularnewline
172 & 0 & 0.557733 & -0.557733 \tabularnewline
173 & 0 & 0.52914 & -0.52914 \tabularnewline
174 & 0 & 0.539435 & -0.539435 \tabularnewline
175 & 0 & 0.500954 & -0.500954 \tabularnewline
176 & 0 & 0.532974 & -0.532974 \tabularnewline
177 & 0 & 0.569529 & -0.569529 \tabularnewline
178 & 0 & 0.527905 & -0.527905 \tabularnewline
179 & 0 & -0.469468 & 0.469468 \tabularnewline
180 & 1 & 0.530532 & 0.469468 \tabularnewline
181 & 1 & 1.56162 & -0.561624 \tabularnewline
182 & 0 & -0.477933 & 0.477933 \tabularnewline
183 & 1 & 0.581174 & 0.418826 \tabularnewline
184 & 1 & 1.54302 & -0.543017 \tabularnewline
185 & 0 & -0.525172 & 0.525172 \tabularnewline
186 & 1 & 1.51878 & -0.518781 \tabularnewline
187 & 0 & 0.539068 & -0.539068 \tabularnewline
188 & 0 & -0.429756 & 0.429756 \tabularnewline
189 & 1 & 1.54744 & -0.547437 \tabularnewline
190 & 0 & 0.522578 & -0.522578 \tabularnewline
191 & 0 & 0.541979 & -0.541979 \tabularnewline
192 & 0 & 0.552849 & -0.552849 \tabularnewline
193 & 0 & 0.516326 & -0.516326 \tabularnewline
194 & 0 & 0.508496 & -0.508496 \tabularnewline
195 & 0 & 0.528021 & -0.528021 \tabularnewline
196 & 0 & 0.488958 & -0.488958 \tabularnewline
197 & 0 & 0.554898 & -0.554898 \tabularnewline
198 & 0 & 0.490675 & -0.490675 \tabularnewline
199 & 0 & 0.574635 & -0.574635 \tabularnewline
200 & 0 & 0.533159 & -0.533159 \tabularnewline
201 & 0 & 0.519944 & -0.519944 \tabularnewline
202 & 0 & -0.467069 & 0.467069 \tabularnewline
203 & 1 & 1.55476 & -0.554758 \tabularnewline
204 & 0 & 0.542475 & -0.542475 \tabularnewline
205 & 0 & 0.546677 & -0.546677 \tabularnewline
206 & 0 & -0.42775 & 0.42775 \tabularnewline
207 & 1 & 1.52848 & -0.528478 \tabularnewline
208 & 0 & -0.471428 & 0.471428 \tabularnewline
209 & 1 & 1.549 & -0.548997 \tabularnewline
210 & 0 & -0.479171 & 0.479171 \tabularnewline
211 & 1 & 1.53085 & -0.530854 \tabularnewline
212 & 0 & -0.500317 & 0.500317 \tabularnewline
213 & 1 & 1.51441 & -0.514412 \tabularnewline
214 & 0 & 0.519429 & -0.519429 \tabularnewline
215 & 0 & 0.603016 & -0.603016 \tabularnewline
216 & 0 & 0.557773 & -0.557773 \tabularnewline
217 & 0 & 0.497566 & -0.497566 \tabularnewline
218 & 0 & -0.464359 & 0.464359 \tabularnewline
219 & 1 & 0.519242 & 0.480758 \tabularnewline
220 & 1 & 1.52727 & -0.52727 \tabularnewline
221 & 0 & -0.45367 & 0.45367 \tabularnewline
222 & 1 & 0.528108 & 0.471892 \tabularnewline
223 & 1 & 1.55179 & -0.551789 \tabularnewline
224 & 0 & -0.454514 & 0.454514 \tabularnewline
225 & 1 & 0.556435 & 0.443565 \tabularnewline
226 & 1 & 1.49842 & -0.498419 \tabularnewline
227 & 0 & 0.533923 & -0.533923 \tabularnewline
228 & 0 & -0.436112 & 0.436112 \tabularnewline
229 & 1 & 1.48116 & -0.481161 \tabularnewline
230 & 0 & -0.499128 & 0.499128 \tabularnewline
231 & 1 & 0.552634 & 0.447366 \tabularnewline
232 & 1 & 0.573809 & 0.426191 \tabularnewline
233 & 1 & 1.54101 & -0.541011 \tabularnewline
234 & 0 & -0.436311 & 0.436311 \tabularnewline
235 & 1 & 1.53564 & -0.535641 \tabularnewline
236 & 0 & -0.435141 & 0.435141 \tabularnewline
237 & 1 & 0.576924 & 0.423076 \tabularnewline
238 & 1 & 0.5939 & 0.4061 \tabularnewline
239 & 1 & 0.571554 & 0.428446 \tabularnewline
240 & 1 & 1.51442 & -0.514416 \tabularnewline
241 & 0 & -0.478395 & 0.478395 \tabularnewline
242 & 1 & 0.515201 & 0.484799 \tabularnewline
243 & 1 & 0.441386 & 0.558614 \tabularnewline
244 & 1 & 1.51057 & -0.510568 \tabularnewline
245 & 0 & -0.467519 & 0.467519 \tabularnewline
246 & 1 & 0.535198 & 0.464802 \tabularnewline
247 & 1 & 1.52638 & -0.526375 \tabularnewline
248 & 0 & -0.48341 & 0.48341 \tabularnewline
249 & 1 & 1.513 & -0.512998 \tabularnewline
250 & 0 & 0.54004 & -0.54004 \tabularnewline
251 & 0 & 0.569406 & -0.569406 \tabularnewline
252 & 0 & -0.445662 & 0.445662 \tabularnewline
253 & 1 & 1.49644 & -0.496443 \tabularnewline
254 & 0 & 0.530152 & -0.530152 \tabularnewline
255 & 0 & -0.432221 & 0.432221 \tabularnewline
256 & 1 & 0.534381 & 0.465619 \tabularnewline
257 & 1 & 0.545724 & 0.454276 \tabularnewline
258 & 1 & 0.525532 & 0.474468 \tabularnewline
259 & 1 & 0.507104 & 0.492896 \tabularnewline
260 & 1 & 0.515534 & 0.484466 \tabularnewline
261 & 1 & 1.53146 & -0.531456 \tabularnewline
262 & 0 & 0.546381 & -0.546381 \tabularnewline
263 & 0 & -0.490168 & 0.490168 \tabularnewline
264 & 1 & 1.54677 & -0.546769 \tabularnewline
265 & 0 & 0.469722 & -0.469722 \tabularnewline
266 & 0 & -0.522992 & 0.522992 \tabularnewline
267 & 1 & 1.52353 & -0.523527 \tabularnewline
268 & 0 & 0.48386 & -0.48386 \tabularnewline
269 & 0 & 0.496071 & -0.496071 \tabularnewline
270 & 0 & 0.506771 & -0.506771 \tabularnewline
271 & 0 & 0.510618 & -0.510618 \tabularnewline
272 & 0 & 0.54004 & -0.54004 \tabularnewline
273 & 0 & 0.557786 & -0.557786 \tabularnewline
274 & 0 & 0.514614 & -0.514614 \tabularnewline
275 & 0 & 0.536133 & -0.536133 \tabularnewline
276 & 0 & 0.5543 & -0.5543 \tabularnewline
277 & 0 & 0.540707 & -0.540707 \tabularnewline
278 & 0 & 0.500144 & -0.500144 \tabularnewline
279 & 0 & 0.553854 & -0.553854 \tabularnewline
280 & 0 & 0.502705 & -0.502705 \tabularnewline
281 & 0 & 0.565186 & -0.565186 \tabularnewline
282 & 0 & 0.553308 & -0.553308 \tabularnewline
283 & 0 & 0.539981 & -0.539981 \tabularnewline
284 & 0 & -0.469497 & 0.469497 \tabularnewline
285 & 1 & 1.55362 & -0.55362 \tabularnewline
286 & 0 & 0.475548 & -0.475548 \tabularnewline
287 & 0 & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266499&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]1[/C][C]0.522227[/C][C]0.477773[/C][/ROW]
[ROW][C]2[/C][C]1[/C][C]0.463211[/C][C]0.536789[/C][/ROW]
[ROW][C]3[/C][C]1[/C][C]0.510499[/C][C]0.489501[/C][/ROW]
[ROW][C]4[/C][C]1[/C][C]0.516489[/C][C]0.483511[/C][/ROW]
[ROW][C]5[/C][C]1[/C][C]0.483059[/C][C]0.516941[/C][/ROW]
[ROW][C]6[/C][C]1[/C][C]0.461103[/C][C]0.538897[/C][/ROW]
[ROW][C]7[/C][C]1[/C][C]0.529402[/C][C]0.470598[/C][/ROW]
[ROW][C]8[/C][C]1[/C][C]0.5391[/C][C]0.4609[/C][/ROW]
[ROW][C]9[/C][C]1[/C][C]0.516085[/C][C]0.483915[/C][/ROW]
[ROW][C]10[/C][C]1[/C][C]0.509781[/C][C]0.490219[/C][/ROW]
[ROW][C]11[/C][C]1[/C][C]0.481005[/C][C]0.518995[/C][/ROW]
[ROW][C]12[/C][C]1[/C][C]0.5071[/C][C]0.4929[/C][/ROW]
[ROW][C]13[/C][C]1[/C][C]0.471087[/C][C]0.528913[/C][/ROW]
[ROW][C]14[/C][C]1[/C][C]0.502577[/C][C]0.497423[/C][/ROW]
[ROW][C]15[/C][C]1[/C][C]0.513441[/C][C]0.486559[/C][/ROW]
[ROW][C]16[/C][C]1[/C][C]0.472206[/C][C]0.527794[/C][/ROW]
[ROW][C]17[/C][C]0[/C][C]0.514633[/C][C]-0.514633[/C][/ROW]
[ROW][C]18[/C][C]1[/C][C]0.512571[/C][C]0.487429[/C][/ROW]
[ROW][C]19[/C][C]1[/C][C]0.486755[/C][C]0.513245[/C][/ROW]
[ROW][C]20[/C][C]0[/C][C]0.492219[/C][C]-0.492219[/C][/ROW]
[ROW][C]21[/C][C]1[/C][C]0.502392[/C][C]0.497608[/C][/ROW]
[ROW][C]22[/C][C]1[/C][C]0.470291[/C][C]0.529709[/C][/ROW]
[ROW][C]23[/C][C]1[/C][C]0.526238[/C][C]0.473762[/C][/ROW]
[ROW][C]24[/C][C]1[/C][C]0.502327[/C][C]0.497673[/C][/ROW]
[ROW][C]25[/C][C]1[/C][C]0.530662[/C][C]0.469338[/C][/ROW]
[ROW][C]26[/C][C]1[/C][C]0.504583[/C][C]0.495417[/C][/ROW]
[ROW][C]27[/C][C]1[/C][C]0.521477[/C][C]0.478523[/C][/ROW]
[ROW][C]28[/C][C]0[/C][C]0.534442[/C][C]-0.534442[/C][/ROW]
[ROW][C]29[/C][C]0[/C][C]0.526926[/C][C]-0.526926[/C][/ROW]
[ROW][C]30[/C][C]1[/C][C]0.488672[/C][C]0.511328[/C][/ROW]
[ROW][C]31[/C][C]1[/C][C]0.513681[/C][C]0.486319[/C][/ROW]
[ROW][C]32[/C][C]1[/C][C]0.485175[/C][C]0.514825[/C][/ROW]
[ROW][C]33[/C][C]1[/C][C]0.510832[/C][C]0.489168[/C][/ROW]
[ROW][C]34[/C][C]1[/C][C]0.452772[/C][C]0.547228[/C][/ROW]
[ROW][C]35[/C][C]1[/C][C]0.481103[/C][C]0.518897[/C][/ROW]
[ROW][C]36[/C][C]1[/C][C]0.49674[/C][C]0.50326[/C][/ROW]
[ROW][C]37[/C][C]1[/C][C]0.499705[/C][C]0.500295[/C][/ROW]
[ROW][C]38[/C][C]1[/C][C]0.493813[/C][C]0.506187[/C][/ROW]
[ROW][C]39[/C][C]1[/C][C]0.515046[/C][C]0.484954[/C][/ROW]
[ROW][C]40[/C][C]0[/C][C]0.529757[/C][C]-0.529757[/C][/ROW]
[ROW][C]41[/C][C]1[/C][C]0.486591[/C][C]0.513409[/C][/ROW]
[ROW][C]42[/C][C]1[/C][C]0.501567[/C][C]0.498433[/C][/ROW]
[ROW][C]43[/C][C]1[/C][C]0.455808[/C][C]0.544192[/C][/ROW]
[ROW][C]44[/C][C]1[/C][C]0.500429[/C][C]0.499571[/C][/ROW]
[ROW][C]45[/C][C]1[/C][C]0.515372[/C][C]0.484628[/C][/ROW]
[ROW][C]46[/C][C]1[/C][C]0.495633[/C][C]0.504367[/C][/ROW]
[ROW][C]47[/C][C]0[/C][C]0.515956[/C][C]-0.515956[/C][/ROW]
[ROW][C]48[/C][C]1[/C][C]0.503117[/C][C]0.496883[/C][/ROW]
[ROW][C]49[/C][C]1[/C][C]0.518466[/C][C]0.481534[/C][/ROW]
[ROW][C]50[/C][C]0[/C][C]0.477272[/C][C]-0.477272[/C][/ROW]
[ROW][C]51[/C][C]1[/C][C]0.52655[/C][C]0.47345[/C][/ROW]
[ROW][C]52[/C][C]0[/C][C]0.50547[/C][C]-0.50547[/C][/ROW]
[ROW][C]53[/C][C]0[/C][C]0.502168[/C][C]-0.502168[/C][/ROW]
[ROW][C]54[/C][C]0[/C][C]0.47421[/C][C]-0.47421[/C][/ROW]
[ROW][C]55[/C][C]1[/C][C]0.497205[/C][C]0.502795[/C][/ROW]
[ROW][C]56[/C][C]0[/C][C]0.517868[/C][C]-0.517868[/C][/ROW]
[ROW][C]57[/C][C]1[/C][C]0.530808[/C][C]0.469192[/C][/ROW]
[ROW][C]58[/C][C]1[/C][C]0.482781[/C][C]0.517219[/C][/ROW]
[ROW][C]59[/C][C]0[/C][C]0.454326[/C][C]-0.454326[/C][/ROW]
[ROW][C]60[/C][C]1[/C][C]0.54559[/C][C]0.45441[/C][/ROW]
[ROW][C]61[/C][C]0[/C][C]0.496259[/C][C]-0.496259[/C][/ROW]
[ROW][C]62[/C][C]0[/C][C]0.512176[/C][C]-0.512176[/C][/ROW]
[ROW][C]63[/C][C]1[/C][C]0.478165[/C][C]0.521835[/C][/ROW]
[ROW][C]64[/C][C]1[/C][C]0.514231[/C][C]0.485769[/C][/ROW]
[ROW][C]65[/C][C]1[/C][C]0.467291[/C][C]0.532709[/C][/ROW]
[ROW][C]66[/C][C]1[/C][C]0.549345[/C][C]0.450655[/C][/ROW]
[ROW][C]67[/C][C]1[/C][C]0.489092[/C][C]0.510908[/C][/ROW]
[ROW][C]68[/C][C]0[/C][C]0.484595[/C][C]-0.484595[/C][/ROW]
[ROW][C]69[/C][C]1[/C][C]0.502853[/C][C]0.497147[/C][/ROW]
[ROW][C]70[/C][C]1[/C][C]0.521013[/C][C]0.478987[/C][/ROW]
[ROW][C]71[/C][C]1[/C][C]0.537779[/C][C]0.462221[/C][/ROW]
[ROW][C]72[/C][C]0[/C][C]0.517427[/C][C]-0.517427[/C][/ROW]
[ROW][C]73[/C][C]1[/C][C]0.509028[/C][C]0.490972[/C][/ROW]
[ROW][C]74[/C][C]1[/C][C]0.510821[/C][C]0.489179[/C][/ROW]
[ROW][C]75[/C][C]0[/C][C]0.484046[/C][C]-0.484046[/C][/ROW]
[ROW][C]76[/C][C]0[/C][C]0.528771[/C][C]-0.528771[/C][/ROW]
[ROW][C]77[/C][C]1[/C][C]0.462341[/C][C]0.537659[/C][/ROW]
[ROW][C]78[/C][C]1[/C][C]0.532024[/C][C]0.467976[/C][/ROW]
[ROW][C]79[/C][C]1[/C][C]0.531687[/C][C]0.468313[/C][/ROW]
[ROW][C]80[/C][C]1[/C][C]1.51363[/C][C]-0.513626[/C][/ROW]
[ROW][C]81[/C][C]0[/C][C]-0.473526[/C][C]0.473526[/C][/ROW]
[ROW][C]82[/C][C]1[/C][C]1.50983[/C][C]-0.509832[/C][/ROW]
[ROW][C]83[/C][C]0[/C][C]-0.531395[/C][C]0.531395[/C][/ROW]
[ROW][C]84[/C][C]1[/C][C]1.49363[/C][C]-0.493633[/C][/ROW]
[ROW][C]85[/C][C]0[/C][C]0.541134[/C][C]-0.541134[/C][/ROW]
[ROW][C]86[/C][C]0[/C][C]0.497462[/C][C]-0.497462[/C][/ROW]
[ROW][C]87[/C][C]0[/C][C]0.446061[/C][C]-0.446061[/C][/ROW]
[ROW][C]88[/C][C]0[/C][C]0.512889[/C][C]-0.512889[/C][/ROW]
[ROW][C]89[/C][C]0[/C][C]0.511959[/C][C]-0.511959[/C][/ROW]
[ROW][C]90[/C][C]0[/C][C]0.50934[/C][C]-0.50934[/C][/ROW]
[ROW][C]91[/C][C]0[/C][C]0.503027[/C][C]-0.503027[/C][/ROW]
[ROW][C]92[/C][C]0[/C][C]0.478421[/C][C]-0.478421[/C][/ROW]
[ROW][C]93[/C][C]0[/C][C]0.527528[/C][C]-0.527528[/C][/ROW]
[ROW][C]94[/C][C]0[/C][C]0.516224[/C][C]-0.516224[/C][/ROW]
[ROW][C]95[/C][C]0[/C][C]0.454322[/C][C]-0.454322[/C][/ROW]
[ROW][C]96[/C][C]0[/C][C]0.497099[/C][C]-0.497099[/C][/ROW]
[ROW][C]97[/C][C]0[/C][C]0.480511[/C][C]-0.480511[/C][/ROW]
[ROW][C]98[/C][C]0[/C][C]0.47874[/C][C]-0.47874[/C][/ROW]
[ROW][C]99[/C][C]0[/C][C]0.489694[/C][C]-0.489694[/C][/ROW]
[ROW][C]100[/C][C]0[/C][C]0.464682[/C][C]-0.464682[/C][/ROW]
[ROW][C]101[/C][C]0[/C][C]0.500944[/C][C]-0.500944[/C][/ROW]
[ROW][C]102[/C][C]0[/C][C]0.519303[/C][C]-0.519303[/C][/ROW]
[ROW][C]103[/C][C]0[/C][C]0.472146[/C][C]-0.472146[/C][/ROW]
[ROW][C]104[/C][C]0[/C][C]0.496846[/C][C]-0.496846[/C][/ROW]
[ROW][C]105[/C][C]0[/C][C]0.499009[/C][C]-0.499009[/C][/ROW]
[ROW][C]106[/C][C]0[/C][C]0.501465[/C][C]-0.501465[/C][/ROW]
[ROW][C]107[/C][C]0[/C][C]0.499944[/C][C]-0.499944[/C][/ROW]
[ROW][C]108[/C][C]0[/C][C]0.536996[/C][C]-0.536996[/C][/ROW]
[ROW][C]109[/C][C]0[/C][C]0.497236[/C][C]-0.497236[/C][/ROW]
[ROW][C]110[/C][C]0[/C][C]0.543384[/C][C]-0.543384[/C][/ROW]
[ROW][C]111[/C][C]0[/C][C]0.459587[/C][C]-0.459587[/C][/ROW]
[ROW][C]112[/C][C]0[/C][C]0.465516[/C][C]-0.465516[/C][/ROW]
[ROW][C]113[/C][C]0[/C][C]0.498726[/C][C]-0.498726[/C][/ROW]
[ROW][C]114[/C][C]0[/C][C]0.512561[/C][C]-0.512561[/C][/ROW]
[ROW][C]115[/C][C]0[/C][C]0.504749[/C][C]-0.504749[/C][/ROW]
[ROW][C]116[/C][C]0[/C][C]-0.560269[/C][C]0.560269[/C][/ROW]
[ROW][C]117[/C][C]1[/C][C]0.509487[/C][C]0.490513[/C][/ROW]
[ROW][C]118[/C][C]1[/C][C]0.562156[/C][C]0.437844[/C][/ROW]
[ROW][C]119[/C][C]1[/C][C]0.549918[/C][C]0.450082[/C][/ROW]
[ROW][C]120[/C][C]1[/C][C]1.53533[/C][C]-0.535326[/C][/ROW]
[ROW][C]121[/C][C]0[/C][C]0.525587[/C][C]-0.525587[/C][/ROW]
[ROW][C]122[/C][C]0[/C][C]-0.454428[/C][C]0.454428[/C][/ROW]
[ROW][C]123[/C][C]1[/C][C]0.564252[/C][C]0.435748[/C][/ROW]
[ROW][C]124[/C][C]1[/C][C]0.544858[/C][C]0.455142[/C][/ROW]
[ROW][C]125[/C][C]1[/C][C]0.531243[/C][C]0.468757[/C][/ROW]
[ROW][C]126[/C][C]1[/C][C]0.569002[/C][C]0.430998[/C][/ROW]
[ROW][C]127[/C][C]1[/C][C]0.530951[/C][C]0.469049[/C][/ROW]
[ROW][C]128[/C][C]1[/C][C]0.499886[/C][C]0.500114[/C][/ROW]
[ROW][C]129[/C][C]1[/C][C]0.525072[/C][C]0.474928[/C][/ROW]
[ROW][C]130[/C][C]1[/C][C]0.551696[/C][C]0.448304[/C][/ROW]
[ROW][C]131[/C][C]1[/C][C]0.535079[/C][C]0.464921[/C][/ROW]
[ROW][C]132[/C][C]1[/C][C]1.56972[/C][C]-0.569722[/C][/ROW]
[ROW][C]133[/C][C]0[/C][C]-0.480258[/C][C]0.480258[/C][/ROW]
[ROW][C]134[/C][C]1[/C][C]0.52088[/C][C]0.47912[/C][/ROW]
[ROW][C]135[/C][C]1[/C][C]0.557768[/C][C]0.442232[/C][/ROW]
[ROW][C]136[/C][C]1[/C][C]0.539087[/C][C]0.460913[/C][/ROW]
[ROW][C]137[/C][C]1[/C][C]0.53683[/C][C]0.46317[/C][/ROW]
[ROW][C]138[/C][C]1[/C][C]0.517612[/C][C]0.482388[/C][/ROW]
[ROW][C]139[/C][C]1[/C][C]0.518321[/C][C]0.481679[/C][/ROW]
[ROW][C]140[/C][C]1[/C][C]0.549127[/C][C]0.450873[/C][/ROW]
[ROW][C]141[/C][C]1[/C][C]0.486917[/C][C]0.513083[/C][/ROW]
[ROW][C]142[/C][C]1[/C][C]0.565631[/C][C]0.434369[/C][/ROW]
[ROW][C]143[/C][C]1[/C][C]0.54858[/C][C]0.45142[/C][/ROW]
[ROW][C]144[/C][C]1[/C][C]1.50519[/C][C]-0.505188[/C][/ROW]
[ROW][C]145[/C][C]0[/C][C]-0.440185[/C][C]0.440185[/C][/ROW]
[ROW][C]146[/C][C]1[/C][C]0.566069[/C][C]0.433931[/C][/ROW]
[ROW][C]147[/C][C]1[/C][C]0.554779[/C][C]0.445221[/C][/ROW]
[ROW][C]148[/C][C]1[/C][C]0.558112[/C][C]0.441888[/C][/ROW]
[ROW][C]149[/C][C]1[/C][C]0.544083[/C][C]0.455917[/C][/ROW]
[ROW][C]150[/C][C]1[/C][C]0.564305[/C][C]0.435695[/C][/ROW]
[ROW][C]151[/C][C]1[/C][C]0.536038[/C][C]0.463962[/C][/ROW]
[ROW][C]152[/C][C]1[/C][C]0.52497[/C][C]0.47503[/C][/ROW]
[ROW][C]153[/C][C]1[/C][C]0.542116[/C][C]0.457884[/C][/ROW]
[ROW][C]154[/C][C]1[/C][C]0.554956[/C][C]0.445044[/C][/ROW]
[ROW][C]155[/C][C]1[/C][C]0.5548[/C][C]0.4452[/C][/ROW]
[ROW][C]156[/C][C]1[/C][C]0.502459[/C][C]0.497541[/C][/ROW]
[ROW][C]157[/C][C]1[/C][C]0.543192[/C][C]0.456808[/C][/ROW]
[ROW][C]158[/C][C]1[/C][C]0.561026[/C][C]0.438974[/C][/ROW]
[ROW][C]159[/C][C]1[/C][C]0.558215[/C][C]0.441785[/C][/ROW]
[ROW][C]160[/C][C]1[/C][C]1.52659[/C][C]-0.526594[/C][/ROW]
[ROW][C]161[/C][C]0[/C][C]0.528241[/C][C]-0.528241[/C][/ROW]
[ROW][C]162[/C][C]0[/C][C]-0.442858[/C][C]0.442858[/C][/ROW]
[ROW][C]163[/C][C]1[/C][C]0.537561[/C][C]0.462439[/C][/ROW]
[ROW][C]164[/C][C]1[/C][C]1.52739[/C][C]-0.527387[/C][/ROW]
[ROW][C]165[/C][C]0[/C][C]0.51431[/C][C]-0.51431[/C][/ROW]
[ROW][C]166[/C][C]0[/C][C]0.556001[/C][C]-0.556001[/C][/ROW]
[ROW][C]167[/C][C]0[/C][C]0.543119[/C][C]-0.543119[/C][/ROW]
[ROW][C]168[/C][C]0[/C][C]-0.438745[/C][C]0.438745[/C][/ROW]
[ROW][C]169[/C][C]1[/C][C]0.5413[/C][C]0.4587[/C][/ROW]
[ROW][C]170[/C][C]1[/C][C]1.56941[/C][C]-0.569406[/C][/ROW]
[ROW][C]171[/C][C]0[/C][C]0.496071[/C][C]-0.496071[/C][/ROW]
[ROW][C]172[/C][C]0[/C][C]0.557733[/C][C]-0.557733[/C][/ROW]
[ROW][C]173[/C][C]0[/C][C]0.52914[/C][C]-0.52914[/C][/ROW]
[ROW][C]174[/C][C]0[/C][C]0.539435[/C][C]-0.539435[/C][/ROW]
[ROW][C]175[/C][C]0[/C][C]0.500954[/C][C]-0.500954[/C][/ROW]
[ROW][C]176[/C][C]0[/C][C]0.532974[/C][C]-0.532974[/C][/ROW]
[ROW][C]177[/C][C]0[/C][C]0.569529[/C][C]-0.569529[/C][/ROW]
[ROW][C]178[/C][C]0[/C][C]0.527905[/C][C]-0.527905[/C][/ROW]
[ROW][C]179[/C][C]0[/C][C]-0.469468[/C][C]0.469468[/C][/ROW]
[ROW][C]180[/C][C]1[/C][C]0.530532[/C][C]0.469468[/C][/ROW]
[ROW][C]181[/C][C]1[/C][C]1.56162[/C][C]-0.561624[/C][/ROW]
[ROW][C]182[/C][C]0[/C][C]-0.477933[/C][C]0.477933[/C][/ROW]
[ROW][C]183[/C][C]1[/C][C]0.581174[/C][C]0.418826[/C][/ROW]
[ROW][C]184[/C][C]1[/C][C]1.54302[/C][C]-0.543017[/C][/ROW]
[ROW][C]185[/C][C]0[/C][C]-0.525172[/C][C]0.525172[/C][/ROW]
[ROW][C]186[/C][C]1[/C][C]1.51878[/C][C]-0.518781[/C][/ROW]
[ROW][C]187[/C][C]0[/C][C]0.539068[/C][C]-0.539068[/C][/ROW]
[ROW][C]188[/C][C]0[/C][C]-0.429756[/C][C]0.429756[/C][/ROW]
[ROW][C]189[/C][C]1[/C][C]1.54744[/C][C]-0.547437[/C][/ROW]
[ROW][C]190[/C][C]0[/C][C]0.522578[/C][C]-0.522578[/C][/ROW]
[ROW][C]191[/C][C]0[/C][C]0.541979[/C][C]-0.541979[/C][/ROW]
[ROW][C]192[/C][C]0[/C][C]0.552849[/C][C]-0.552849[/C][/ROW]
[ROW][C]193[/C][C]0[/C][C]0.516326[/C][C]-0.516326[/C][/ROW]
[ROW][C]194[/C][C]0[/C][C]0.508496[/C][C]-0.508496[/C][/ROW]
[ROW][C]195[/C][C]0[/C][C]0.528021[/C][C]-0.528021[/C][/ROW]
[ROW][C]196[/C][C]0[/C][C]0.488958[/C][C]-0.488958[/C][/ROW]
[ROW][C]197[/C][C]0[/C][C]0.554898[/C][C]-0.554898[/C][/ROW]
[ROW][C]198[/C][C]0[/C][C]0.490675[/C][C]-0.490675[/C][/ROW]
[ROW][C]199[/C][C]0[/C][C]0.574635[/C][C]-0.574635[/C][/ROW]
[ROW][C]200[/C][C]0[/C][C]0.533159[/C][C]-0.533159[/C][/ROW]
[ROW][C]201[/C][C]0[/C][C]0.519944[/C][C]-0.519944[/C][/ROW]
[ROW][C]202[/C][C]0[/C][C]-0.467069[/C][C]0.467069[/C][/ROW]
[ROW][C]203[/C][C]1[/C][C]1.55476[/C][C]-0.554758[/C][/ROW]
[ROW][C]204[/C][C]0[/C][C]0.542475[/C][C]-0.542475[/C][/ROW]
[ROW][C]205[/C][C]0[/C][C]0.546677[/C][C]-0.546677[/C][/ROW]
[ROW][C]206[/C][C]0[/C][C]-0.42775[/C][C]0.42775[/C][/ROW]
[ROW][C]207[/C][C]1[/C][C]1.52848[/C][C]-0.528478[/C][/ROW]
[ROW][C]208[/C][C]0[/C][C]-0.471428[/C][C]0.471428[/C][/ROW]
[ROW][C]209[/C][C]1[/C][C]1.549[/C][C]-0.548997[/C][/ROW]
[ROW][C]210[/C][C]0[/C][C]-0.479171[/C][C]0.479171[/C][/ROW]
[ROW][C]211[/C][C]1[/C][C]1.53085[/C][C]-0.530854[/C][/ROW]
[ROW][C]212[/C][C]0[/C][C]-0.500317[/C][C]0.500317[/C][/ROW]
[ROW][C]213[/C][C]1[/C][C]1.51441[/C][C]-0.514412[/C][/ROW]
[ROW][C]214[/C][C]0[/C][C]0.519429[/C][C]-0.519429[/C][/ROW]
[ROW][C]215[/C][C]0[/C][C]0.603016[/C][C]-0.603016[/C][/ROW]
[ROW][C]216[/C][C]0[/C][C]0.557773[/C][C]-0.557773[/C][/ROW]
[ROW][C]217[/C][C]0[/C][C]0.497566[/C][C]-0.497566[/C][/ROW]
[ROW][C]218[/C][C]0[/C][C]-0.464359[/C][C]0.464359[/C][/ROW]
[ROW][C]219[/C][C]1[/C][C]0.519242[/C][C]0.480758[/C][/ROW]
[ROW][C]220[/C][C]1[/C][C]1.52727[/C][C]-0.52727[/C][/ROW]
[ROW][C]221[/C][C]0[/C][C]-0.45367[/C][C]0.45367[/C][/ROW]
[ROW][C]222[/C][C]1[/C][C]0.528108[/C][C]0.471892[/C][/ROW]
[ROW][C]223[/C][C]1[/C][C]1.55179[/C][C]-0.551789[/C][/ROW]
[ROW][C]224[/C][C]0[/C][C]-0.454514[/C][C]0.454514[/C][/ROW]
[ROW][C]225[/C][C]1[/C][C]0.556435[/C][C]0.443565[/C][/ROW]
[ROW][C]226[/C][C]1[/C][C]1.49842[/C][C]-0.498419[/C][/ROW]
[ROW][C]227[/C][C]0[/C][C]0.533923[/C][C]-0.533923[/C][/ROW]
[ROW][C]228[/C][C]0[/C][C]-0.436112[/C][C]0.436112[/C][/ROW]
[ROW][C]229[/C][C]1[/C][C]1.48116[/C][C]-0.481161[/C][/ROW]
[ROW][C]230[/C][C]0[/C][C]-0.499128[/C][C]0.499128[/C][/ROW]
[ROW][C]231[/C][C]1[/C][C]0.552634[/C][C]0.447366[/C][/ROW]
[ROW][C]232[/C][C]1[/C][C]0.573809[/C][C]0.426191[/C][/ROW]
[ROW][C]233[/C][C]1[/C][C]1.54101[/C][C]-0.541011[/C][/ROW]
[ROW][C]234[/C][C]0[/C][C]-0.436311[/C][C]0.436311[/C][/ROW]
[ROW][C]235[/C][C]1[/C][C]1.53564[/C][C]-0.535641[/C][/ROW]
[ROW][C]236[/C][C]0[/C][C]-0.435141[/C][C]0.435141[/C][/ROW]
[ROW][C]237[/C][C]1[/C][C]0.576924[/C][C]0.423076[/C][/ROW]
[ROW][C]238[/C][C]1[/C][C]0.5939[/C][C]0.4061[/C][/ROW]
[ROW][C]239[/C][C]1[/C][C]0.571554[/C][C]0.428446[/C][/ROW]
[ROW][C]240[/C][C]1[/C][C]1.51442[/C][C]-0.514416[/C][/ROW]
[ROW][C]241[/C][C]0[/C][C]-0.478395[/C][C]0.478395[/C][/ROW]
[ROW][C]242[/C][C]1[/C][C]0.515201[/C][C]0.484799[/C][/ROW]
[ROW][C]243[/C][C]1[/C][C]0.441386[/C][C]0.558614[/C][/ROW]
[ROW][C]244[/C][C]1[/C][C]1.51057[/C][C]-0.510568[/C][/ROW]
[ROW][C]245[/C][C]0[/C][C]-0.467519[/C][C]0.467519[/C][/ROW]
[ROW][C]246[/C][C]1[/C][C]0.535198[/C][C]0.464802[/C][/ROW]
[ROW][C]247[/C][C]1[/C][C]1.52638[/C][C]-0.526375[/C][/ROW]
[ROW][C]248[/C][C]0[/C][C]-0.48341[/C][C]0.48341[/C][/ROW]
[ROW][C]249[/C][C]1[/C][C]1.513[/C][C]-0.512998[/C][/ROW]
[ROW][C]250[/C][C]0[/C][C]0.54004[/C][C]-0.54004[/C][/ROW]
[ROW][C]251[/C][C]0[/C][C]0.569406[/C][C]-0.569406[/C][/ROW]
[ROW][C]252[/C][C]0[/C][C]-0.445662[/C][C]0.445662[/C][/ROW]
[ROW][C]253[/C][C]1[/C][C]1.49644[/C][C]-0.496443[/C][/ROW]
[ROW][C]254[/C][C]0[/C][C]0.530152[/C][C]-0.530152[/C][/ROW]
[ROW][C]255[/C][C]0[/C][C]-0.432221[/C][C]0.432221[/C][/ROW]
[ROW][C]256[/C][C]1[/C][C]0.534381[/C][C]0.465619[/C][/ROW]
[ROW][C]257[/C][C]1[/C][C]0.545724[/C][C]0.454276[/C][/ROW]
[ROW][C]258[/C][C]1[/C][C]0.525532[/C][C]0.474468[/C][/ROW]
[ROW][C]259[/C][C]1[/C][C]0.507104[/C][C]0.492896[/C][/ROW]
[ROW][C]260[/C][C]1[/C][C]0.515534[/C][C]0.484466[/C][/ROW]
[ROW][C]261[/C][C]1[/C][C]1.53146[/C][C]-0.531456[/C][/ROW]
[ROW][C]262[/C][C]0[/C][C]0.546381[/C][C]-0.546381[/C][/ROW]
[ROW][C]263[/C][C]0[/C][C]-0.490168[/C][C]0.490168[/C][/ROW]
[ROW][C]264[/C][C]1[/C][C]1.54677[/C][C]-0.546769[/C][/ROW]
[ROW][C]265[/C][C]0[/C][C]0.469722[/C][C]-0.469722[/C][/ROW]
[ROW][C]266[/C][C]0[/C][C]-0.522992[/C][C]0.522992[/C][/ROW]
[ROW][C]267[/C][C]1[/C][C]1.52353[/C][C]-0.523527[/C][/ROW]
[ROW][C]268[/C][C]0[/C][C]0.48386[/C][C]-0.48386[/C][/ROW]
[ROW][C]269[/C][C]0[/C][C]0.496071[/C][C]-0.496071[/C][/ROW]
[ROW][C]270[/C][C]0[/C][C]0.506771[/C][C]-0.506771[/C][/ROW]
[ROW][C]271[/C][C]0[/C][C]0.510618[/C][C]-0.510618[/C][/ROW]
[ROW][C]272[/C][C]0[/C][C]0.54004[/C][C]-0.54004[/C][/ROW]
[ROW][C]273[/C][C]0[/C][C]0.557786[/C][C]-0.557786[/C][/ROW]
[ROW][C]274[/C][C]0[/C][C]0.514614[/C][C]-0.514614[/C][/ROW]
[ROW][C]275[/C][C]0[/C][C]0.536133[/C][C]-0.536133[/C][/ROW]
[ROW][C]276[/C][C]0[/C][C]0.5543[/C][C]-0.5543[/C][/ROW]
[ROW][C]277[/C][C]0[/C][C]0.540707[/C][C]-0.540707[/C][/ROW]
[ROW][C]278[/C][C]0[/C][C]0.500144[/C][C]-0.500144[/C][/ROW]
[ROW][C]279[/C][C]0[/C][C]0.553854[/C][C]-0.553854[/C][/ROW]
[ROW][C]280[/C][C]0[/C][C]0.502705[/C][C]-0.502705[/C][/ROW]
[ROW][C]281[/C][C]0[/C][C]0.565186[/C][C]-0.565186[/C][/ROW]
[ROW][C]282[/C][C]0[/C][C]0.553308[/C][C]-0.553308[/C][/ROW]
[ROW][C]283[/C][C]0[/C][C]0.539981[/C][C]-0.539981[/C][/ROW]
[ROW][C]284[/C][C]0[/C][C]-0.469497[/C][C]0.469497[/C][/ROW]
[ROW][C]285[/C][C]1[/C][C]1.55362[/C][C]-0.55362[/C][/ROW]
[ROW][C]286[/C][C]0[/C][C]0.475548[/C][C]-0.475548[/C][/ROW]
[ROW][C]287[/C][C]0[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266499&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266499&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
110.5222270.477773
210.4632110.536789
310.5104990.489501
410.5164890.483511
510.4830590.516941
610.4611030.538897
710.5294020.470598
810.53910.4609
910.5160850.483915
1010.5097810.490219
1110.4810050.518995
1210.50710.4929
1310.4710870.528913
1410.5025770.497423
1510.5134410.486559
1610.4722060.527794
1700.514633-0.514633
1810.5125710.487429
1910.4867550.513245
2000.492219-0.492219
2110.5023920.497608
2210.4702910.529709
2310.5262380.473762
2410.5023270.497673
2510.5306620.469338
2610.5045830.495417
2710.5214770.478523
2800.534442-0.534442
2900.526926-0.526926
3010.4886720.511328
3110.5136810.486319
3210.4851750.514825
3310.5108320.489168
3410.4527720.547228
3510.4811030.518897
3610.496740.50326
3710.4997050.500295
3810.4938130.506187
3910.5150460.484954
4000.529757-0.529757
4110.4865910.513409
4210.5015670.498433
4310.4558080.544192
4410.5004290.499571
4510.5153720.484628
4610.4956330.504367
4700.515956-0.515956
4810.5031170.496883
4910.5184660.481534
5000.477272-0.477272
5110.526550.47345
5200.50547-0.50547
5300.502168-0.502168
5400.47421-0.47421
5510.4972050.502795
5600.517868-0.517868
5710.5308080.469192
5810.4827810.517219
5900.454326-0.454326
6010.545590.45441
6100.496259-0.496259
6200.512176-0.512176
6310.4781650.521835
6410.5142310.485769
6510.4672910.532709
6610.5493450.450655
6710.4890920.510908
6800.484595-0.484595
6910.5028530.497147
7010.5210130.478987
7110.5377790.462221
7200.517427-0.517427
7310.5090280.490972
7410.5108210.489179
7500.484046-0.484046
7600.528771-0.528771
7710.4623410.537659
7810.5320240.467976
7910.5316870.468313
8011.51363-0.513626
810-0.4735260.473526
8211.50983-0.509832
830-0.5313950.531395
8411.49363-0.493633
8500.541134-0.541134
8600.497462-0.497462
8700.446061-0.446061
8800.512889-0.512889
8900.511959-0.511959
9000.50934-0.50934
9100.503027-0.503027
9200.478421-0.478421
9300.527528-0.527528
9400.516224-0.516224
9500.454322-0.454322
9600.497099-0.497099
9700.480511-0.480511
9800.47874-0.47874
9900.489694-0.489694
10000.464682-0.464682
10100.500944-0.500944
10200.519303-0.519303
10300.472146-0.472146
10400.496846-0.496846
10500.499009-0.499009
10600.501465-0.501465
10700.499944-0.499944
10800.536996-0.536996
10900.497236-0.497236
11000.543384-0.543384
11100.459587-0.459587
11200.465516-0.465516
11300.498726-0.498726
11400.512561-0.512561
11500.504749-0.504749
1160-0.5602690.560269
11710.5094870.490513
11810.5621560.437844
11910.5499180.450082
12011.53533-0.535326
12100.525587-0.525587
1220-0.4544280.454428
12310.5642520.435748
12410.5448580.455142
12510.5312430.468757
12610.5690020.430998
12710.5309510.469049
12810.4998860.500114
12910.5250720.474928
13010.5516960.448304
13110.5350790.464921
13211.56972-0.569722
1330-0.4802580.480258
13410.520880.47912
13510.5577680.442232
13610.5390870.460913
13710.536830.46317
13810.5176120.482388
13910.5183210.481679
14010.5491270.450873
14110.4869170.513083
14210.5656310.434369
14310.548580.45142
14411.50519-0.505188
1450-0.4401850.440185
14610.5660690.433931
14710.5547790.445221
14810.5581120.441888
14910.5440830.455917
15010.5643050.435695
15110.5360380.463962
15210.524970.47503
15310.5421160.457884
15410.5549560.445044
15510.55480.4452
15610.5024590.497541
15710.5431920.456808
15810.5610260.438974
15910.5582150.441785
16011.52659-0.526594
16100.528241-0.528241
1620-0.4428580.442858
16310.5375610.462439
16411.52739-0.527387
16500.51431-0.51431
16600.556001-0.556001
16700.543119-0.543119
1680-0.4387450.438745
16910.54130.4587
17011.56941-0.569406
17100.496071-0.496071
17200.557733-0.557733
17300.52914-0.52914
17400.539435-0.539435
17500.500954-0.500954
17600.532974-0.532974
17700.569529-0.569529
17800.527905-0.527905
1790-0.4694680.469468
18010.5305320.469468
18111.56162-0.561624
1820-0.4779330.477933
18310.5811740.418826
18411.54302-0.543017
1850-0.5251720.525172
18611.51878-0.518781
18700.539068-0.539068
1880-0.4297560.429756
18911.54744-0.547437
19000.522578-0.522578
19100.541979-0.541979
19200.552849-0.552849
19300.516326-0.516326
19400.508496-0.508496
19500.528021-0.528021
19600.488958-0.488958
19700.554898-0.554898
19800.490675-0.490675
19900.574635-0.574635
20000.533159-0.533159
20100.519944-0.519944
2020-0.4670690.467069
20311.55476-0.554758
20400.542475-0.542475
20500.546677-0.546677
2060-0.427750.42775
20711.52848-0.528478
2080-0.4714280.471428
20911.549-0.548997
2100-0.4791710.479171
21111.53085-0.530854
2120-0.5003170.500317
21311.51441-0.514412
21400.519429-0.519429
21500.603016-0.603016
21600.557773-0.557773
21700.497566-0.497566
2180-0.4643590.464359
21910.5192420.480758
22011.52727-0.52727
2210-0.453670.45367
22210.5281080.471892
22311.55179-0.551789
2240-0.4545140.454514
22510.5564350.443565
22611.49842-0.498419
22700.533923-0.533923
2280-0.4361120.436112
22911.48116-0.481161
2300-0.4991280.499128
23110.5526340.447366
23210.5738090.426191
23311.54101-0.541011
2340-0.4363110.436311
23511.53564-0.535641
2360-0.4351410.435141
23710.5769240.423076
23810.59390.4061
23910.5715540.428446
24011.51442-0.514416
2410-0.4783950.478395
24210.5152010.484799
24310.4413860.558614
24411.51057-0.510568
2450-0.4675190.467519
24610.5351980.464802
24711.52638-0.526375
2480-0.483410.48341
24911.513-0.512998
25000.54004-0.54004
25100.569406-0.569406
2520-0.4456620.445662
25311.49644-0.496443
25400.530152-0.530152
2550-0.4322210.432221
25610.5343810.465619
25710.5457240.454276
25810.5255320.474468
25910.5071040.492896
26010.5155340.484466
26111.53146-0.531456
26200.546381-0.546381
2630-0.4901680.490168
26411.54677-0.546769
26500.469722-0.469722
2660-0.5229920.522992
26711.52353-0.523527
26800.48386-0.48386
26900.496071-0.496071
27000.506771-0.506771
27100.510618-0.510618
27200.54004-0.54004
27300.557786-0.557786
27400.514614-0.514614
27500.536133-0.536133
27600.5543-0.5543
27700.540707-0.540707
27800.500144-0.500144
27900.553854-0.553854
28000.502705-0.502705
28100.565186-0.565186
28200.553308-0.553308
28300.539981-0.539981
2840-0.4694970.469497
28511.55362-0.55362
28600.475548-0.475548
2870NANA






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
61.55445e-463.10889e-461
7001
89.98423e-771.99685e-761
9001
10001
113.19096e-1226.38193e-1221
121.13829e-1342.27659e-1341
13001
14001
157.59715e-1831.51943e-1821
16001
170.002250290.004500580.99775
180.001098120.002196240.998902
190.000511650.00102330.999488
200.01787280.03574550.982127
210.01174620.02349240.988254
220.00746160.01492320.992538
230.004519030.009038060.995481
240.002702030.005404070.997298
250.001606090.003212170.998394
260.000911730.001823460.999088
270.0005826170.001165230.999417
280.004792760.009585530.995207
290.01740580.03481150.982594
300.01249790.02499580.987502
310.008942470.01788490.991058
320.006123290.01224660.993877
330.004357490.008714970.995643
340.00295610.005912210.997044
350.002003990.004007980.997996
360.001338780.002677570.998661
370.0009127760.001825550.999087
380.0006132980.00122660.999387
390.0003975320.0007950640.999602
400.001816990.003633980.998183
410.001262050.00252410.998738
420.0009016620.001803320.999098
430.0006475580.001295120.999352
440.0004561950.000912390.999544
450.0003344170.0006688330.999666
460.000230240.0004604810.99977
470.0009769950.001953990.999023
480.0007210270.001442050.999279
490.000556590.001113180.999443
500.003327790.006655590.996672
510.002707030.005414060.997293
520.006647090.01329420.993353
530.01336260.02672520.986637
540.03370230.06740470.966298
550.02914950.05829890.970851
560.04539580.09079160.954604
570.0404740.0809480.959526
580.03544580.07089160.964554
590.06332930.1266590.936671
600.0556630.1113260.944337
610.08033410.1606680.919666
620.1086020.2172050.891398
630.1002940.2005870.899706
640.09150690.1830140.908493
650.08522140.1704430.914779
660.07692930.1538590.923071
670.07108430.1421690.928916
680.09661580.1932320.903384
690.08945540.1789110.910545
700.08178320.1635660.918217
710.07378490.147570.926215
720.09781120.1956220.902189
730.09067410.1813480.909326
740.08434230.1686850.915658
750.108380.216760.89162
760.1355560.2711130.864444
770.1333880.2667770.866612
780.1244810.2489620.875519
790.1159370.2318730.884063
800.1407120.2814240.859288
810.1325230.2650460.867477
820.1616610.3233220.838339
830.1610010.3220020.838999
840.1885740.3771490.811426
850.2153990.4307970.784601
860.2439040.4878070.756096
870.2720020.5440040.727998
880.2936490.5872980.706351
890.3189590.6379190.681041
900.3412170.6824330.658783
910.3654670.7309340.634533
920.3854980.7709950.614502
930.4061220.8122450.593878
940.4254350.850870.574565
950.4387750.877550.561225
960.4515070.9030140.548493
970.4625260.9250510.537474
980.4683810.9367620.531619
990.4748280.9496570.525172
1000.4779450.9558910.522055
1010.488770.9775390.51123
1020.5030830.9938340.496917
1030.5031550.9936910.496845
1040.5080740.9838530.491926
1050.5123720.9752550.487628
1060.5128740.9742520.487126
1070.5136040.9727930.486396
1080.5256160.9487680.474384
1090.5211770.9576460.478823
1100.5262840.9474320.473716
1110.5137340.9725320.486266
1120.5049450.990110.495055
1130.5014770.9970450.498523
1140.5041890.9916230.495811
1150.5064920.9870150.493508
1160.5235320.9529360.476468
1170.5186690.9626620.481331
1180.5018780.9962450.498122
1190.4850830.9701660.514917
1200.5113170.9773670.488683
1210.5137090.9725820.486291
1220.5006520.9986970.499348
1230.4837050.9674110.516295
1240.4722740.9445470.527726
1250.4675970.9351950.532403
1260.4510060.9020120.548994
1270.4424580.8849160.557542
1280.4449530.8899050.555047
1290.4422410.8844820.557759
1300.4299270.8598540.570073
1310.4242540.8485080.575746
1320.4551650.9103290.544835
1330.4507120.9014250.549288
1340.4465030.8930060.553497
1350.4349060.8698110.565094
1360.427380.854760.57262
1370.4202270.8404540.579773
1380.4201060.8402130.579894
1390.4200050.8400110.579995
1400.4094660.8189320.590534
1410.4247610.8495220.575239
1420.4099790.8199570.590021
1430.4008390.8016790.599161
1440.4044590.8089190.595541
1450.3924650.7849290.607535
1460.3822120.7644240.617788
1470.3725950.7451890.627405
1480.3629320.7258640.637068
1490.3571740.7143470.642826
1500.3463460.6926910.653654
1510.3442490.6884990.655751
1520.3475420.6950840.652458
1530.3447220.6894440.655278
1540.3399480.6798970.660052
1550.3337030.6674060.666297
1560.3473450.6946890.652655
1570.3453680.6907350.654632
1580.3396620.6793240.660338
1590.3355940.6711870.664406
1600.3494220.6988440.650578
1610.3593210.7186410.640679
1620.3577710.7155420.642229
1630.3615830.7231650.638417
1640.373360.746720.62664
1650.3749650.7499290.625035
1660.397830.7956590.60217
1670.4105520.8211050.589448
1680.4082380.8164760.591762
1690.412980.8259610.58702
1700.4360390.8720770.563961
1710.4305070.8610150.569493
1720.4453040.8906080.554696
1730.44870.8974010.5513
1740.4545150.909030.545485
1750.4484660.8969310.551534
1760.4513240.9026480.548676
1770.4654790.9309580.534521
1780.4657680.9315360.534232
1790.4720710.9441420.527929
1800.4804610.9609220.519539
1810.4897760.9795520.510224
1820.5009360.9981270.499064
1830.4959870.9919750.504013
1840.4985360.9970730.501464
1850.527780.9444390.47222
1860.5224460.9551090.477554
1870.5233180.9533650.476682
1880.5224510.9550990.477549
1890.5249450.950110.475055
1900.5201670.9596660.479833
1910.5195010.9609980.480499
1920.5217150.9565710.478285
1930.5142940.9714110.485706
1940.505040.989920.49496
1950.5012630.9974750.498737
1960.4877220.9754430.512278
1970.4909850.981970.509015
1980.4783980.9567950.521602
1990.4865110.9730220.513489
2000.4838090.9676180.516191
2010.4761120.9522250.523888
2020.4820330.9640670.517967
2030.4875140.9750280.512486
2040.4870450.974090.512955
2050.4863450.9726890.513655
2060.4821570.9643150.517843
2070.4776170.9552330.522383
2080.4836140.9672280.516386
2090.4841740.9683470.515826
2100.4931320.9862640.506868
2110.4868590.9737190.513141
2120.5031010.9937980.496899
2130.4924770.9849530.507523
2140.4850770.9701530.514923
2150.5177360.9645280.482264
2160.5257360.9485280.474264
2170.5087850.982430.491215
2180.5153010.9693970.484699
2190.5222770.9554470.477723
2200.5173160.9653680.482684
2210.5206220.9587570.479378
2220.5228250.9543510.477175
2230.5267520.9464970.473248
2240.5227980.9544040.477202
2250.5274360.9451280.472564
2260.5078830.9842340.492117
2270.4968420.9936840.503158
2280.493880.987760.50612
2290.4759810.9519620.524019
2300.5126980.9746040.487302
2310.5109530.9780940.489047
2320.5165580.9668840.483442
2330.5069740.9860530.493026
2340.5090010.9819970.490999
2350.4920320.9840650.507968
2360.5076980.9846030.492302
2370.5228530.9542940.477147
2380.5263210.9473590.473679
2390.5721250.8557510.427875
2400.5506540.8986930.449346
2410.5783840.8432320.421616
2420.5920710.8158580.407929
2430.6208390.7583220.379161
2440.5969960.8060070.403004
2450.6377290.7245420.362271
2460.7020040.5959920.297996
2470.6718990.6562020.328101
2480.7159870.5680260.284013
2490.6870880.6258230.312912
2500.6595140.6809710.340486
2510.6406640.7186730.359336
2520.6853790.6292420.314621
2530.6576250.684750.342375
2540.6283010.7433980.371699
2550.7086710.5826580.291329
2560.7853440.4293120.214656
2570.8647430.2705150.135257
2580.9257810.1484390.0742195
2590.9628950.07421080.0371054
2600.9900130.0199740.00998701
2610.9853690.02926220.0146311
2620.9781570.04368650.0218432
2630.9959720.008055840.00402792
2640.9932480.01350320.00675162
2650.9903660.01926760.00963382
2660.9996220.0007564430.000378221
2670.99920.001599490.000799745
2680.998330.003340610.0016703
2690.9966840.006632650.00331632
2700.9936940.01261250.00630625
2710.9878860.02422760.0121138
2720.9779230.04415350.0220767
2730.961120.07775950.0388797
2740.9352740.1294510.0647256
2750.8926830.2146340.107317
2760.8295370.3409260.170463
2770.7569830.4860340.243017
2780.6464370.7071270.353563
2790.5066240.9867520.493376
2800.3741440.7482880.625856
2810.2165640.4331270.783436

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
6 & 1.55445e-46 & 3.10889e-46 & 1 \tabularnewline
7 & 0 & 0 & 1 \tabularnewline
8 & 9.98423e-77 & 1.99685e-76 & 1 \tabularnewline
9 & 0 & 0 & 1 \tabularnewline
10 & 0 & 0 & 1 \tabularnewline
11 & 3.19096e-122 & 6.38193e-122 & 1 \tabularnewline
12 & 1.13829e-134 & 2.27659e-134 & 1 \tabularnewline
13 & 0 & 0 & 1 \tabularnewline
14 & 0 & 0 & 1 \tabularnewline
15 & 7.59715e-183 & 1.51943e-182 & 1 \tabularnewline
16 & 0 & 0 & 1 \tabularnewline
17 & 0.00225029 & 0.00450058 & 0.99775 \tabularnewline
18 & 0.00109812 & 0.00219624 & 0.998902 \tabularnewline
19 & 0.00051165 & 0.0010233 & 0.999488 \tabularnewline
20 & 0.0178728 & 0.0357455 & 0.982127 \tabularnewline
21 & 0.0117462 & 0.0234924 & 0.988254 \tabularnewline
22 & 0.0074616 & 0.0149232 & 0.992538 \tabularnewline
23 & 0.00451903 & 0.00903806 & 0.995481 \tabularnewline
24 & 0.00270203 & 0.00540407 & 0.997298 \tabularnewline
25 & 0.00160609 & 0.00321217 & 0.998394 \tabularnewline
26 & 0.00091173 & 0.00182346 & 0.999088 \tabularnewline
27 & 0.000582617 & 0.00116523 & 0.999417 \tabularnewline
28 & 0.00479276 & 0.00958553 & 0.995207 \tabularnewline
29 & 0.0174058 & 0.0348115 & 0.982594 \tabularnewline
30 & 0.0124979 & 0.0249958 & 0.987502 \tabularnewline
31 & 0.00894247 & 0.0178849 & 0.991058 \tabularnewline
32 & 0.00612329 & 0.0122466 & 0.993877 \tabularnewline
33 & 0.00435749 & 0.00871497 & 0.995643 \tabularnewline
34 & 0.0029561 & 0.00591221 & 0.997044 \tabularnewline
35 & 0.00200399 & 0.00400798 & 0.997996 \tabularnewline
36 & 0.00133878 & 0.00267757 & 0.998661 \tabularnewline
37 & 0.000912776 & 0.00182555 & 0.999087 \tabularnewline
38 & 0.000613298 & 0.0012266 & 0.999387 \tabularnewline
39 & 0.000397532 & 0.000795064 & 0.999602 \tabularnewline
40 & 0.00181699 & 0.00363398 & 0.998183 \tabularnewline
41 & 0.00126205 & 0.0025241 & 0.998738 \tabularnewline
42 & 0.000901662 & 0.00180332 & 0.999098 \tabularnewline
43 & 0.000647558 & 0.00129512 & 0.999352 \tabularnewline
44 & 0.000456195 & 0.00091239 & 0.999544 \tabularnewline
45 & 0.000334417 & 0.000668833 & 0.999666 \tabularnewline
46 & 0.00023024 & 0.000460481 & 0.99977 \tabularnewline
47 & 0.000976995 & 0.00195399 & 0.999023 \tabularnewline
48 & 0.000721027 & 0.00144205 & 0.999279 \tabularnewline
49 & 0.00055659 & 0.00111318 & 0.999443 \tabularnewline
50 & 0.00332779 & 0.00665559 & 0.996672 \tabularnewline
51 & 0.00270703 & 0.00541406 & 0.997293 \tabularnewline
52 & 0.00664709 & 0.0132942 & 0.993353 \tabularnewline
53 & 0.0133626 & 0.0267252 & 0.986637 \tabularnewline
54 & 0.0337023 & 0.0674047 & 0.966298 \tabularnewline
55 & 0.0291495 & 0.0582989 & 0.970851 \tabularnewline
56 & 0.0453958 & 0.0907916 & 0.954604 \tabularnewline
57 & 0.040474 & 0.080948 & 0.959526 \tabularnewline
58 & 0.0354458 & 0.0708916 & 0.964554 \tabularnewline
59 & 0.0633293 & 0.126659 & 0.936671 \tabularnewline
60 & 0.055663 & 0.111326 & 0.944337 \tabularnewline
61 & 0.0803341 & 0.160668 & 0.919666 \tabularnewline
62 & 0.108602 & 0.217205 & 0.891398 \tabularnewline
63 & 0.100294 & 0.200587 & 0.899706 \tabularnewline
64 & 0.0915069 & 0.183014 & 0.908493 \tabularnewline
65 & 0.0852214 & 0.170443 & 0.914779 \tabularnewline
66 & 0.0769293 & 0.153859 & 0.923071 \tabularnewline
67 & 0.0710843 & 0.142169 & 0.928916 \tabularnewline
68 & 0.0966158 & 0.193232 & 0.903384 \tabularnewline
69 & 0.0894554 & 0.178911 & 0.910545 \tabularnewline
70 & 0.0817832 & 0.163566 & 0.918217 \tabularnewline
71 & 0.0737849 & 0.14757 & 0.926215 \tabularnewline
72 & 0.0978112 & 0.195622 & 0.902189 \tabularnewline
73 & 0.0906741 & 0.181348 & 0.909326 \tabularnewline
74 & 0.0843423 & 0.168685 & 0.915658 \tabularnewline
75 & 0.10838 & 0.21676 & 0.89162 \tabularnewline
76 & 0.135556 & 0.271113 & 0.864444 \tabularnewline
77 & 0.133388 & 0.266777 & 0.866612 \tabularnewline
78 & 0.124481 & 0.248962 & 0.875519 \tabularnewline
79 & 0.115937 & 0.231873 & 0.884063 \tabularnewline
80 & 0.140712 & 0.281424 & 0.859288 \tabularnewline
81 & 0.132523 & 0.265046 & 0.867477 \tabularnewline
82 & 0.161661 & 0.323322 & 0.838339 \tabularnewline
83 & 0.161001 & 0.322002 & 0.838999 \tabularnewline
84 & 0.188574 & 0.377149 & 0.811426 \tabularnewline
85 & 0.215399 & 0.430797 & 0.784601 \tabularnewline
86 & 0.243904 & 0.487807 & 0.756096 \tabularnewline
87 & 0.272002 & 0.544004 & 0.727998 \tabularnewline
88 & 0.293649 & 0.587298 & 0.706351 \tabularnewline
89 & 0.318959 & 0.637919 & 0.681041 \tabularnewline
90 & 0.341217 & 0.682433 & 0.658783 \tabularnewline
91 & 0.365467 & 0.730934 & 0.634533 \tabularnewline
92 & 0.385498 & 0.770995 & 0.614502 \tabularnewline
93 & 0.406122 & 0.812245 & 0.593878 \tabularnewline
94 & 0.425435 & 0.85087 & 0.574565 \tabularnewline
95 & 0.438775 & 0.87755 & 0.561225 \tabularnewline
96 & 0.451507 & 0.903014 & 0.548493 \tabularnewline
97 & 0.462526 & 0.925051 & 0.537474 \tabularnewline
98 & 0.468381 & 0.936762 & 0.531619 \tabularnewline
99 & 0.474828 & 0.949657 & 0.525172 \tabularnewline
100 & 0.477945 & 0.955891 & 0.522055 \tabularnewline
101 & 0.48877 & 0.977539 & 0.51123 \tabularnewline
102 & 0.503083 & 0.993834 & 0.496917 \tabularnewline
103 & 0.503155 & 0.993691 & 0.496845 \tabularnewline
104 & 0.508074 & 0.983853 & 0.491926 \tabularnewline
105 & 0.512372 & 0.975255 & 0.487628 \tabularnewline
106 & 0.512874 & 0.974252 & 0.487126 \tabularnewline
107 & 0.513604 & 0.972793 & 0.486396 \tabularnewline
108 & 0.525616 & 0.948768 & 0.474384 \tabularnewline
109 & 0.521177 & 0.957646 & 0.478823 \tabularnewline
110 & 0.526284 & 0.947432 & 0.473716 \tabularnewline
111 & 0.513734 & 0.972532 & 0.486266 \tabularnewline
112 & 0.504945 & 0.99011 & 0.495055 \tabularnewline
113 & 0.501477 & 0.997045 & 0.498523 \tabularnewline
114 & 0.504189 & 0.991623 & 0.495811 \tabularnewline
115 & 0.506492 & 0.987015 & 0.493508 \tabularnewline
116 & 0.523532 & 0.952936 & 0.476468 \tabularnewline
117 & 0.518669 & 0.962662 & 0.481331 \tabularnewline
118 & 0.501878 & 0.996245 & 0.498122 \tabularnewline
119 & 0.485083 & 0.970166 & 0.514917 \tabularnewline
120 & 0.511317 & 0.977367 & 0.488683 \tabularnewline
121 & 0.513709 & 0.972582 & 0.486291 \tabularnewline
122 & 0.500652 & 0.998697 & 0.499348 \tabularnewline
123 & 0.483705 & 0.967411 & 0.516295 \tabularnewline
124 & 0.472274 & 0.944547 & 0.527726 \tabularnewline
125 & 0.467597 & 0.935195 & 0.532403 \tabularnewline
126 & 0.451006 & 0.902012 & 0.548994 \tabularnewline
127 & 0.442458 & 0.884916 & 0.557542 \tabularnewline
128 & 0.444953 & 0.889905 & 0.555047 \tabularnewline
129 & 0.442241 & 0.884482 & 0.557759 \tabularnewline
130 & 0.429927 & 0.859854 & 0.570073 \tabularnewline
131 & 0.424254 & 0.848508 & 0.575746 \tabularnewline
132 & 0.455165 & 0.910329 & 0.544835 \tabularnewline
133 & 0.450712 & 0.901425 & 0.549288 \tabularnewline
134 & 0.446503 & 0.893006 & 0.553497 \tabularnewline
135 & 0.434906 & 0.869811 & 0.565094 \tabularnewline
136 & 0.42738 & 0.85476 & 0.57262 \tabularnewline
137 & 0.420227 & 0.840454 & 0.579773 \tabularnewline
138 & 0.420106 & 0.840213 & 0.579894 \tabularnewline
139 & 0.420005 & 0.840011 & 0.579995 \tabularnewline
140 & 0.409466 & 0.818932 & 0.590534 \tabularnewline
141 & 0.424761 & 0.849522 & 0.575239 \tabularnewline
142 & 0.409979 & 0.819957 & 0.590021 \tabularnewline
143 & 0.400839 & 0.801679 & 0.599161 \tabularnewline
144 & 0.404459 & 0.808919 & 0.595541 \tabularnewline
145 & 0.392465 & 0.784929 & 0.607535 \tabularnewline
146 & 0.382212 & 0.764424 & 0.617788 \tabularnewline
147 & 0.372595 & 0.745189 & 0.627405 \tabularnewline
148 & 0.362932 & 0.725864 & 0.637068 \tabularnewline
149 & 0.357174 & 0.714347 & 0.642826 \tabularnewline
150 & 0.346346 & 0.692691 & 0.653654 \tabularnewline
151 & 0.344249 & 0.688499 & 0.655751 \tabularnewline
152 & 0.347542 & 0.695084 & 0.652458 \tabularnewline
153 & 0.344722 & 0.689444 & 0.655278 \tabularnewline
154 & 0.339948 & 0.679897 & 0.660052 \tabularnewline
155 & 0.333703 & 0.667406 & 0.666297 \tabularnewline
156 & 0.347345 & 0.694689 & 0.652655 \tabularnewline
157 & 0.345368 & 0.690735 & 0.654632 \tabularnewline
158 & 0.339662 & 0.679324 & 0.660338 \tabularnewline
159 & 0.335594 & 0.671187 & 0.664406 \tabularnewline
160 & 0.349422 & 0.698844 & 0.650578 \tabularnewline
161 & 0.359321 & 0.718641 & 0.640679 \tabularnewline
162 & 0.357771 & 0.715542 & 0.642229 \tabularnewline
163 & 0.361583 & 0.723165 & 0.638417 \tabularnewline
164 & 0.37336 & 0.74672 & 0.62664 \tabularnewline
165 & 0.374965 & 0.749929 & 0.625035 \tabularnewline
166 & 0.39783 & 0.795659 & 0.60217 \tabularnewline
167 & 0.410552 & 0.821105 & 0.589448 \tabularnewline
168 & 0.408238 & 0.816476 & 0.591762 \tabularnewline
169 & 0.41298 & 0.825961 & 0.58702 \tabularnewline
170 & 0.436039 & 0.872077 & 0.563961 \tabularnewline
171 & 0.430507 & 0.861015 & 0.569493 \tabularnewline
172 & 0.445304 & 0.890608 & 0.554696 \tabularnewline
173 & 0.4487 & 0.897401 & 0.5513 \tabularnewline
174 & 0.454515 & 0.90903 & 0.545485 \tabularnewline
175 & 0.448466 & 0.896931 & 0.551534 \tabularnewline
176 & 0.451324 & 0.902648 & 0.548676 \tabularnewline
177 & 0.465479 & 0.930958 & 0.534521 \tabularnewline
178 & 0.465768 & 0.931536 & 0.534232 \tabularnewline
179 & 0.472071 & 0.944142 & 0.527929 \tabularnewline
180 & 0.480461 & 0.960922 & 0.519539 \tabularnewline
181 & 0.489776 & 0.979552 & 0.510224 \tabularnewline
182 & 0.500936 & 0.998127 & 0.499064 \tabularnewline
183 & 0.495987 & 0.991975 & 0.504013 \tabularnewline
184 & 0.498536 & 0.997073 & 0.501464 \tabularnewline
185 & 0.52778 & 0.944439 & 0.47222 \tabularnewline
186 & 0.522446 & 0.955109 & 0.477554 \tabularnewline
187 & 0.523318 & 0.953365 & 0.476682 \tabularnewline
188 & 0.522451 & 0.955099 & 0.477549 \tabularnewline
189 & 0.524945 & 0.95011 & 0.475055 \tabularnewline
190 & 0.520167 & 0.959666 & 0.479833 \tabularnewline
191 & 0.519501 & 0.960998 & 0.480499 \tabularnewline
192 & 0.521715 & 0.956571 & 0.478285 \tabularnewline
193 & 0.514294 & 0.971411 & 0.485706 \tabularnewline
194 & 0.50504 & 0.98992 & 0.49496 \tabularnewline
195 & 0.501263 & 0.997475 & 0.498737 \tabularnewline
196 & 0.487722 & 0.975443 & 0.512278 \tabularnewline
197 & 0.490985 & 0.98197 & 0.509015 \tabularnewline
198 & 0.478398 & 0.956795 & 0.521602 \tabularnewline
199 & 0.486511 & 0.973022 & 0.513489 \tabularnewline
200 & 0.483809 & 0.967618 & 0.516191 \tabularnewline
201 & 0.476112 & 0.952225 & 0.523888 \tabularnewline
202 & 0.482033 & 0.964067 & 0.517967 \tabularnewline
203 & 0.487514 & 0.975028 & 0.512486 \tabularnewline
204 & 0.487045 & 0.97409 & 0.512955 \tabularnewline
205 & 0.486345 & 0.972689 & 0.513655 \tabularnewline
206 & 0.482157 & 0.964315 & 0.517843 \tabularnewline
207 & 0.477617 & 0.955233 & 0.522383 \tabularnewline
208 & 0.483614 & 0.967228 & 0.516386 \tabularnewline
209 & 0.484174 & 0.968347 & 0.515826 \tabularnewline
210 & 0.493132 & 0.986264 & 0.506868 \tabularnewline
211 & 0.486859 & 0.973719 & 0.513141 \tabularnewline
212 & 0.503101 & 0.993798 & 0.496899 \tabularnewline
213 & 0.492477 & 0.984953 & 0.507523 \tabularnewline
214 & 0.485077 & 0.970153 & 0.514923 \tabularnewline
215 & 0.517736 & 0.964528 & 0.482264 \tabularnewline
216 & 0.525736 & 0.948528 & 0.474264 \tabularnewline
217 & 0.508785 & 0.98243 & 0.491215 \tabularnewline
218 & 0.515301 & 0.969397 & 0.484699 \tabularnewline
219 & 0.522277 & 0.955447 & 0.477723 \tabularnewline
220 & 0.517316 & 0.965368 & 0.482684 \tabularnewline
221 & 0.520622 & 0.958757 & 0.479378 \tabularnewline
222 & 0.522825 & 0.954351 & 0.477175 \tabularnewline
223 & 0.526752 & 0.946497 & 0.473248 \tabularnewline
224 & 0.522798 & 0.954404 & 0.477202 \tabularnewline
225 & 0.527436 & 0.945128 & 0.472564 \tabularnewline
226 & 0.507883 & 0.984234 & 0.492117 \tabularnewline
227 & 0.496842 & 0.993684 & 0.503158 \tabularnewline
228 & 0.49388 & 0.98776 & 0.50612 \tabularnewline
229 & 0.475981 & 0.951962 & 0.524019 \tabularnewline
230 & 0.512698 & 0.974604 & 0.487302 \tabularnewline
231 & 0.510953 & 0.978094 & 0.489047 \tabularnewline
232 & 0.516558 & 0.966884 & 0.483442 \tabularnewline
233 & 0.506974 & 0.986053 & 0.493026 \tabularnewline
234 & 0.509001 & 0.981997 & 0.490999 \tabularnewline
235 & 0.492032 & 0.984065 & 0.507968 \tabularnewline
236 & 0.507698 & 0.984603 & 0.492302 \tabularnewline
237 & 0.522853 & 0.954294 & 0.477147 \tabularnewline
238 & 0.526321 & 0.947359 & 0.473679 \tabularnewline
239 & 0.572125 & 0.855751 & 0.427875 \tabularnewline
240 & 0.550654 & 0.898693 & 0.449346 \tabularnewline
241 & 0.578384 & 0.843232 & 0.421616 \tabularnewline
242 & 0.592071 & 0.815858 & 0.407929 \tabularnewline
243 & 0.620839 & 0.758322 & 0.379161 \tabularnewline
244 & 0.596996 & 0.806007 & 0.403004 \tabularnewline
245 & 0.637729 & 0.724542 & 0.362271 \tabularnewline
246 & 0.702004 & 0.595992 & 0.297996 \tabularnewline
247 & 0.671899 & 0.656202 & 0.328101 \tabularnewline
248 & 0.715987 & 0.568026 & 0.284013 \tabularnewline
249 & 0.687088 & 0.625823 & 0.312912 \tabularnewline
250 & 0.659514 & 0.680971 & 0.340486 \tabularnewline
251 & 0.640664 & 0.718673 & 0.359336 \tabularnewline
252 & 0.685379 & 0.629242 & 0.314621 \tabularnewline
253 & 0.657625 & 0.68475 & 0.342375 \tabularnewline
254 & 0.628301 & 0.743398 & 0.371699 \tabularnewline
255 & 0.708671 & 0.582658 & 0.291329 \tabularnewline
256 & 0.785344 & 0.429312 & 0.214656 \tabularnewline
257 & 0.864743 & 0.270515 & 0.135257 \tabularnewline
258 & 0.925781 & 0.148439 & 0.0742195 \tabularnewline
259 & 0.962895 & 0.0742108 & 0.0371054 \tabularnewline
260 & 0.990013 & 0.019974 & 0.00998701 \tabularnewline
261 & 0.985369 & 0.0292622 & 0.0146311 \tabularnewline
262 & 0.978157 & 0.0436865 & 0.0218432 \tabularnewline
263 & 0.995972 & 0.00805584 & 0.00402792 \tabularnewline
264 & 0.993248 & 0.0135032 & 0.00675162 \tabularnewline
265 & 0.990366 & 0.0192676 & 0.00963382 \tabularnewline
266 & 0.999622 & 0.000756443 & 0.000378221 \tabularnewline
267 & 0.9992 & 0.00159949 & 0.000799745 \tabularnewline
268 & 0.99833 & 0.00334061 & 0.0016703 \tabularnewline
269 & 0.996684 & 0.00663265 & 0.00331632 \tabularnewline
270 & 0.993694 & 0.0126125 & 0.00630625 \tabularnewline
271 & 0.987886 & 0.0242276 & 0.0121138 \tabularnewline
272 & 0.977923 & 0.0441535 & 0.0220767 \tabularnewline
273 & 0.96112 & 0.0777595 & 0.0388797 \tabularnewline
274 & 0.935274 & 0.129451 & 0.0647256 \tabularnewline
275 & 0.892683 & 0.214634 & 0.107317 \tabularnewline
276 & 0.829537 & 0.340926 & 0.170463 \tabularnewline
277 & 0.756983 & 0.486034 & 0.243017 \tabularnewline
278 & 0.646437 & 0.707127 & 0.353563 \tabularnewline
279 & 0.506624 & 0.986752 & 0.493376 \tabularnewline
280 & 0.374144 & 0.748288 & 0.625856 \tabularnewline
281 & 0.216564 & 0.433127 & 0.783436 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266499&T=5

[TABLE]
[ROW][C]Goldfeld-Quandt test for Heteroskedasticity[/C][/ROW]
[ROW][C]p-values[/C][C]Alternative Hypothesis[/C][/ROW]
[ROW][C]breakpoint index[/C][C]greater[/C][C]2-sided[/C][C]less[/C][/ROW]
[ROW][C]6[/C][C]1.55445e-46[/C][C]3.10889e-46[/C][C]1[/C][/ROW]
[ROW][C]7[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]8[/C][C]9.98423e-77[/C][C]1.99685e-76[/C][C]1[/C][/ROW]
[ROW][C]9[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]10[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]11[/C][C]3.19096e-122[/C][C]6.38193e-122[/C][C]1[/C][/ROW]
[ROW][C]12[/C][C]1.13829e-134[/C][C]2.27659e-134[/C][C]1[/C][/ROW]
[ROW][C]13[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]14[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]15[/C][C]7.59715e-183[/C][C]1.51943e-182[/C][C]1[/C][/ROW]
[ROW][C]16[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]17[/C][C]0.00225029[/C][C]0.00450058[/C][C]0.99775[/C][/ROW]
[ROW][C]18[/C][C]0.00109812[/C][C]0.00219624[/C][C]0.998902[/C][/ROW]
[ROW][C]19[/C][C]0.00051165[/C][C]0.0010233[/C][C]0.999488[/C][/ROW]
[ROW][C]20[/C][C]0.0178728[/C][C]0.0357455[/C][C]0.982127[/C][/ROW]
[ROW][C]21[/C][C]0.0117462[/C][C]0.0234924[/C][C]0.988254[/C][/ROW]
[ROW][C]22[/C][C]0.0074616[/C][C]0.0149232[/C][C]0.992538[/C][/ROW]
[ROW][C]23[/C][C]0.00451903[/C][C]0.00903806[/C][C]0.995481[/C][/ROW]
[ROW][C]24[/C][C]0.00270203[/C][C]0.00540407[/C][C]0.997298[/C][/ROW]
[ROW][C]25[/C][C]0.00160609[/C][C]0.00321217[/C][C]0.998394[/C][/ROW]
[ROW][C]26[/C][C]0.00091173[/C][C]0.00182346[/C][C]0.999088[/C][/ROW]
[ROW][C]27[/C][C]0.000582617[/C][C]0.00116523[/C][C]0.999417[/C][/ROW]
[ROW][C]28[/C][C]0.00479276[/C][C]0.00958553[/C][C]0.995207[/C][/ROW]
[ROW][C]29[/C][C]0.0174058[/C][C]0.0348115[/C][C]0.982594[/C][/ROW]
[ROW][C]30[/C][C]0.0124979[/C][C]0.0249958[/C][C]0.987502[/C][/ROW]
[ROW][C]31[/C][C]0.00894247[/C][C]0.0178849[/C][C]0.991058[/C][/ROW]
[ROW][C]32[/C][C]0.00612329[/C][C]0.0122466[/C][C]0.993877[/C][/ROW]
[ROW][C]33[/C][C]0.00435749[/C][C]0.00871497[/C][C]0.995643[/C][/ROW]
[ROW][C]34[/C][C]0.0029561[/C][C]0.00591221[/C][C]0.997044[/C][/ROW]
[ROW][C]35[/C][C]0.00200399[/C][C]0.00400798[/C][C]0.997996[/C][/ROW]
[ROW][C]36[/C][C]0.00133878[/C][C]0.00267757[/C][C]0.998661[/C][/ROW]
[ROW][C]37[/C][C]0.000912776[/C][C]0.00182555[/C][C]0.999087[/C][/ROW]
[ROW][C]38[/C][C]0.000613298[/C][C]0.0012266[/C][C]0.999387[/C][/ROW]
[ROW][C]39[/C][C]0.000397532[/C][C]0.000795064[/C][C]0.999602[/C][/ROW]
[ROW][C]40[/C][C]0.00181699[/C][C]0.00363398[/C][C]0.998183[/C][/ROW]
[ROW][C]41[/C][C]0.00126205[/C][C]0.0025241[/C][C]0.998738[/C][/ROW]
[ROW][C]42[/C][C]0.000901662[/C][C]0.00180332[/C][C]0.999098[/C][/ROW]
[ROW][C]43[/C][C]0.000647558[/C][C]0.00129512[/C][C]0.999352[/C][/ROW]
[ROW][C]44[/C][C]0.000456195[/C][C]0.00091239[/C][C]0.999544[/C][/ROW]
[ROW][C]45[/C][C]0.000334417[/C][C]0.000668833[/C][C]0.999666[/C][/ROW]
[ROW][C]46[/C][C]0.00023024[/C][C]0.000460481[/C][C]0.99977[/C][/ROW]
[ROW][C]47[/C][C]0.000976995[/C][C]0.00195399[/C][C]0.999023[/C][/ROW]
[ROW][C]48[/C][C]0.000721027[/C][C]0.00144205[/C][C]0.999279[/C][/ROW]
[ROW][C]49[/C][C]0.00055659[/C][C]0.00111318[/C][C]0.999443[/C][/ROW]
[ROW][C]50[/C][C]0.00332779[/C][C]0.00665559[/C][C]0.996672[/C][/ROW]
[ROW][C]51[/C][C]0.00270703[/C][C]0.00541406[/C][C]0.997293[/C][/ROW]
[ROW][C]52[/C][C]0.00664709[/C][C]0.0132942[/C][C]0.993353[/C][/ROW]
[ROW][C]53[/C][C]0.0133626[/C][C]0.0267252[/C][C]0.986637[/C][/ROW]
[ROW][C]54[/C][C]0.0337023[/C][C]0.0674047[/C][C]0.966298[/C][/ROW]
[ROW][C]55[/C][C]0.0291495[/C][C]0.0582989[/C][C]0.970851[/C][/ROW]
[ROW][C]56[/C][C]0.0453958[/C][C]0.0907916[/C][C]0.954604[/C][/ROW]
[ROW][C]57[/C][C]0.040474[/C][C]0.080948[/C][C]0.959526[/C][/ROW]
[ROW][C]58[/C][C]0.0354458[/C][C]0.0708916[/C][C]0.964554[/C][/ROW]
[ROW][C]59[/C][C]0.0633293[/C][C]0.126659[/C][C]0.936671[/C][/ROW]
[ROW][C]60[/C][C]0.055663[/C][C]0.111326[/C][C]0.944337[/C][/ROW]
[ROW][C]61[/C][C]0.0803341[/C][C]0.160668[/C][C]0.919666[/C][/ROW]
[ROW][C]62[/C][C]0.108602[/C][C]0.217205[/C][C]0.891398[/C][/ROW]
[ROW][C]63[/C][C]0.100294[/C][C]0.200587[/C][C]0.899706[/C][/ROW]
[ROW][C]64[/C][C]0.0915069[/C][C]0.183014[/C][C]0.908493[/C][/ROW]
[ROW][C]65[/C][C]0.0852214[/C][C]0.170443[/C][C]0.914779[/C][/ROW]
[ROW][C]66[/C][C]0.0769293[/C][C]0.153859[/C][C]0.923071[/C][/ROW]
[ROW][C]67[/C][C]0.0710843[/C][C]0.142169[/C][C]0.928916[/C][/ROW]
[ROW][C]68[/C][C]0.0966158[/C][C]0.193232[/C][C]0.903384[/C][/ROW]
[ROW][C]69[/C][C]0.0894554[/C][C]0.178911[/C][C]0.910545[/C][/ROW]
[ROW][C]70[/C][C]0.0817832[/C][C]0.163566[/C][C]0.918217[/C][/ROW]
[ROW][C]71[/C][C]0.0737849[/C][C]0.14757[/C][C]0.926215[/C][/ROW]
[ROW][C]72[/C][C]0.0978112[/C][C]0.195622[/C][C]0.902189[/C][/ROW]
[ROW][C]73[/C][C]0.0906741[/C][C]0.181348[/C][C]0.909326[/C][/ROW]
[ROW][C]74[/C][C]0.0843423[/C][C]0.168685[/C][C]0.915658[/C][/ROW]
[ROW][C]75[/C][C]0.10838[/C][C]0.21676[/C][C]0.89162[/C][/ROW]
[ROW][C]76[/C][C]0.135556[/C][C]0.271113[/C][C]0.864444[/C][/ROW]
[ROW][C]77[/C][C]0.133388[/C][C]0.266777[/C][C]0.866612[/C][/ROW]
[ROW][C]78[/C][C]0.124481[/C][C]0.248962[/C][C]0.875519[/C][/ROW]
[ROW][C]79[/C][C]0.115937[/C][C]0.231873[/C][C]0.884063[/C][/ROW]
[ROW][C]80[/C][C]0.140712[/C][C]0.281424[/C][C]0.859288[/C][/ROW]
[ROW][C]81[/C][C]0.132523[/C][C]0.265046[/C][C]0.867477[/C][/ROW]
[ROW][C]82[/C][C]0.161661[/C][C]0.323322[/C][C]0.838339[/C][/ROW]
[ROW][C]83[/C][C]0.161001[/C][C]0.322002[/C][C]0.838999[/C][/ROW]
[ROW][C]84[/C][C]0.188574[/C][C]0.377149[/C][C]0.811426[/C][/ROW]
[ROW][C]85[/C][C]0.215399[/C][C]0.430797[/C][C]0.784601[/C][/ROW]
[ROW][C]86[/C][C]0.243904[/C][C]0.487807[/C][C]0.756096[/C][/ROW]
[ROW][C]87[/C][C]0.272002[/C][C]0.544004[/C][C]0.727998[/C][/ROW]
[ROW][C]88[/C][C]0.293649[/C][C]0.587298[/C][C]0.706351[/C][/ROW]
[ROW][C]89[/C][C]0.318959[/C][C]0.637919[/C][C]0.681041[/C][/ROW]
[ROW][C]90[/C][C]0.341217[/C][C]0.682433[/C][C]0.658783[/C][/ROW]
[ROW][C]91[/C][C]0.365467[/C][C]0.730934[/C][C]0.634533[/C][/ROW]
[ROW][C]92[/C][C]0.385498[/C][C]0.770995[/C][C]0.614502[/C][/ROW]
[ROW][C]93[/C][C]0.406122[/C][C]0.812245[/C][C]0.593878[/C][/ROW]
[ROW][C]94[/C][C]0.425435[/C][C]0.85087[/C][C]0.574565[/C][/ROW]
[ROW][C]95[/C][C]0.438775[/C][C]0.87755[/C][C]0.561225[/C][/ROW]
[ROW][C]96[/C][C]0.451507[/C][C]0.903014[/C][C]0.548493[/C][/ROW]
[ROW][C]97[/C][C]0.462526[/C][C]0.925051[/C][C]0.537474[/C][/ROW]
[ROW][C]98[/C][C]0.468381[/C][C]0.936762[/C][C]0.531619[/C][/ROW]
[ROW][C]99[/C][C]0.474828[/C][C]0.949657[/C][C]0.525172[/C][/ROW]
[ROW][C]100[/C][C]0.477945[/C][C]0.955891[/C][C]0.522055[/C][/ROW]
[ROW][C]101[/C][C]0.48877[/C][C]0.977539[/C][C]0.51123[/C][/ROW]
[ROW][C]102[/C][C]0.503083[/C][C]0.993834[/C][C]0.496917[/C][/ROW]
[ROW][C]103[/C][C]0.503155[/C][C]0.993691[/C][C]0.496845[/C][/ROW]
[ROW][C]104[/C][C]0.508074[/C][C]0.983853[/C][C]0.491926[/C][/ROW]
[ROW][C]105[/C][C]0.512372[/C][C]0.975255[/C][C]0.487628[/C][/ROW]
[ROW][C]106[/C][C]0.512874[/C][C]0.974252[/C][C]0.487126[/C][/ROW]
[ROW][C]107[/C][C]0.513604[/C][C]0.972793[/C][C]0.486396[/C][/ROW]
[ROW][C]108[/C][C]0.525616[/C][C]0.948768[/C][C]0.474384[/C][/ROW]
[ROW][C]109[/C][C]0.521177[/C][C]0.957646[/C][C]0.478823[/C][/ROW]
[ROW][C]110[/C][C]0.526284[/C][C]0.947432[/C][C]0.473716[/C][/ROW]
[ROW][C]111[/C][C]0.513734[/C][C]0.972532[/C][C]0.486266[/C][/ROW]
[ROW][C]112[/C][C]0.504945[/C][C]0.99011[/C][C]0.495055[/C][/ROW]
[ROW][C]113[/C][C]0.501477[/C][C]0.997045[/C][C]0.498523[/C][/ROW]
[ROW][C]114[/C][C]0.504189[/C][C]0.991623[/C][C]0.495811[/C][/ROW]
[ROW][C]115[/C][C]0.506492[/C][C]0.987015[/C][C]0.493508[/C][/ROW]
[ROW][C]116[/C][C]0.523532[/C][C]0.952936[/C][C]0.476468[/C][/ROW]
[ROW][C]117[/C][C]0.518669[/C][C]0.962662[/C][C]0.481331[/C][/ROW]
[ROW][C]118[/C][C]0.501878[/C][C]0.996245[/C][C]0.498122[/C][/ROW]
[ROW][C]119[/C][C]0.485083[/C][C]0.970166[/C][C]0.514917[/C][/ROW]
[ROW][C]120[/C][C]0.511317[/C][C]0.977367[/C][C]0.488683[/C][/ROW]
[ROW][C]121[/C][C]0.513709[/C][C]0.972582[/C][C]0.486291[/C][/ROW]
[ROW][C]122[/C][C]0.500652[/C][C]0.998697[/C][C]0.499348[/C][/ROW]
[ROW][C]123[/C][C]0.483705[/C][C]0.967411[/C][C]0.516295[/C][/ROW]
[ROW][C]124[/C][C]0.472274[/C][C]0.944547[/C][C]0.527726[/C][/ROW]
[ROW][C]125[/C][C]0.467597[/C][C]0.935195[/C][C]0.532403[/C][/ROW]
[ROW][C]126[/C][C]0.451006[/C][C]0.902012[/C][C]0.548994[/C][/ROW]
[ROW][C]127[/C][C]0.442458[/C][C]0.884916[/C][C]0.557542[/C][/ROW]
[ROW][C]128[/C][C]0.444953[/C][C]0.889905[/C][C]0.555047[/C][/ROW]
[ROW][C]129[/C][C]0.442241[/C][C]0.884482[/C][C]0.557759[/C][/ROW]
[ROW][C]130[/C][C]0.429927[/C][C]0.859854[/C][C]0.570073[/C][/ROW]
[ROW][C]131[/C][C]0.424254[/C][C]0.848508[/C][C]0.575746[/C][/ROW]
[ROW][C]132[/C][C]0.455165[/C][C]0.910329[/C][C]0.544835[/C][/ROW]
[ROW][C]133[/C][C]0.450712[/C][C]0.901425[/C][C]0.549288[/C][/ROW]
[ROW][C]134[/C][C]0.446503[/C][C]0.893006[/C][C]0.553497[/C][/ROW]
[ROW][C]135[/C][C]0.434906[/C][C]0.869811[/C][C]0.565094[/C][/ROW]
[ROW][C]136[/C][C]0.42738[/C][C]0.85476[/C][C]0.57262[/C][/ROW]
[ROW][C]137[/C][C]0.420227[/C][C]0.840454[/C][C]0.579773[/C][/ROW]
[ROW][C]138[/C][C]0.420106[/C][C]0.840213[/C][C]0.579894[/C][/ROW]
[ROW][C]139[/C][C]0.420005[/C][C]0.840011[/C][C]0.579995[/C][/ROW]
[ROW][C]140[/C][C]0.409466[/C][C]0.818932[/C][C]0.590534[/C][/ROW]
[ROW][C]141[/C][C]0.424761[/C][C]0.849522[/C][C]0.575239[/C][/ROW]
[ROW][C]142[/C][C]0.409979[/C][C]0.819957[/C][C]0.590021[/C][/ROW]
[ROW][C]143[/C][C]0.400839[/C][C]0.801679[/C][C]0.599161[/C][/ROW]
[ROW][C]144[/C][C]0.404459[/C][C]0.808919[/C][C]0.595541[/C][/ROW]
[ROW][C]145[/C][C]0.392465[/C][C]0.784929[/C][C]0.607535[/C][/ROW]
[ROW][C]146[/C][C]0.382212[/C][C]0.764424[/C][C]0.617788[/C][/ROW]
[ROW][C]147[/C][C]0.372595[/C][C]0.745189[/C][C]0.627405[/C][/ROW]
[ROW][C]148[/C][C]0.362932[/C][C]0.725864[/C][C]0.637068[/C][/ROW]
[ROW][C]149[/C][C]0.357174[/C][C]0.714347[/C][C]0.642826[/C][/ROW]
[ROW][C]150[/C][C]0.346346[/C][C]0.692691[/C][C]0.653654[/C][/ROW]
[ROW][C]151[/C][C]0.344249[/C][C]0.688499[/C][C]0.655751[/C][/ROW]
[ROW][C]152[/C][C]0.347542[/C][C]0.695084[/C][C]0.652458[/C][/ROW]
[ROW][C]153[/C][C]0.344722[/C][C]0.689444[/C][C]0.655278[/C][/ROW]
[ROW][C]154[/C][C]0.339948[/C][C]0.679897[/C][C]0.660052[/C][/ROW]
[ROW][C]155[/C][C]0.333703[/C][C]0.667406[/C][C]0.666297[/C][/ROW]
[ROW][C]156[/C][C]0.347345[/C][C]0.694689[/C][C]0.652655[/C][/ROW]
[ROW][C]157[/C][C]0.345368[/C][C]0.690735[/C][C]0.654632[/C][/ROW]
[ROW][C]158[/C][C]0.339662[/C][C]0.679324[/C][C]0.660338[/C][/ROW]
[ROW][C]159[/C][C]0.335594[/C][C]0.671187[/C][C]0.664406[/C][/ROW]
[ROW][C]160[/C][C]0.349422[/C][C]0.698844[/C][C]0.650578[/C][/ROW]
[ROW][C]161[/C][C]0.359321[/C][C]0.718641[/C][C]0.640679[/C][/ROW]
[ROW][C]162[/C][C]0.357771[/C][C]0.715542[/C][C]0.642229[/C][/ROW]
[ROW][C]163[/C][C]0.361583[/C][C]0.723165[/C][C]0.638417[/C][/ROW]
[ROW][C]164[/C][C]0.37336[/C][C]0.74672[/C][C]0.62664[/C][/ROW]
[ROW][C]165[/C][C]0.374965[/C][C]0.749929[/C][C]0.625035[/C][/ROW]
[ROW][C]166[/C][C]0.39783[/C][C]0.795659[/C][C]0.60217[/C][/ROW]
[ROW][C]167[/C][C]0.410552[/C][C]0.821105[/C][C]0.589448[/C][/ROW]
[ROW][C]168[/C][C]0.408238[/C][C]0.816476[/C][C]0.591762[/C][/ROW]
[ROW][C]169[/C][C]0.41298[/C][C]0.825961[/C][C]0.58702[/C][/ROW]
[ROW][C]170[/C][C]0.436039[/C][C]0.872077[/C][C]0.563961[/C][/ROW]
[ROW][C]171[/C][C]0.430507[/C][C]0.861015[/C][C]0.569493[/C][/ROW]
[ROW][C]172[/C][C]0.445304[/C][C]0.890608[/C][C]0.554696[/C][/ROW]
[ROW][C]173[/C][C]0.4487[/C][C]0.897401[/C][C]0.5513[/C][/ROW]
[ROW][C]174[/C][C]0.454515[/C][C]0.90903[/C][C]0.545485[/C][/ROW]
[ROW][C]175[/C][C]0.448466[/C][C]0.896931[/C][C]0.551534[/C][/ROW]
[ROW][C]176[/C][C]0.451324[/C][C]0.902648[/C][C]0.548676[/C][/ROW]
[ROW][C]177[/C][C]0.465479[/C][C]0.930958[/C][C]0.534521[/C][/ROW]
[ROW][C]178[/C][C]0.465768[/C][C]0.931536[/C][C]0.534232[/C][/ROW]
[ROW][C]179[/C][C]0.472071[/C][C]0.944142[/C][C]0.527929[/C][/ROW]
[ROW][C]180[/C][C]0.480461[/C][C]0.960922[/C][C]0.519539[/C][/ROW]
[ROW][C]181[/C][C]0.489776[/C][C]0.979552[/C][C]0.510224[/C][/ROW]
[ROW][C]182[/C][C]0.500936[/C][C]0.998127[/C][C]0.499064[/C][/ROW]
[ROW][C]183[/C][C]0.495987[/C][C]0.991975[/C][C]0.504013[/C][/ROW]
[ROW][C]184[/C][C]0.498536[/C][C]0.997073[/C][C]0.501464[/C][/ROW]
[ROW][C]185[/C][C]0.52778[/C][C]0.944439[/C][C]0.47222[/C][/ROW]
[ROW][C]186[/C][C]0.522446[/C][C]0.955109[/C][C]0.477554[/C][/ROW]
[ROW][C]187[/C][C]0.523318[/C][C]0.953365[/C][C]0.476682[/C][/ROW]
[ROW][C]188[/C][C]0.522451[/C][C]0.955099[/C][C]0.477549[/C][/ROW]
[ROW][C]189[/C][C]0.524945[/C][C]0.95011[/C][C]0.475055[/C][/ROW]
[ROW][C]190[/C][C]0.520167[/C][C]0.959666[/C][C]0.479833[/C][/ROW]
[ROW][C]191[/C][C]0.519501[/C][C]0.960998[/C][C]0.480499[/C][/ROW]
[ROW][C]192[/C][C]0.521715[/C][C]0.956571[/C][C]0.478285[/C][/ROW]
[ROW][C]193[/C][C]0.514294[/C][C]0.971411[/C][C]0.485706[/C][/ROW]
[ROW][C]194[/C][C]0.50504[/C][C]0.98992[/C][C]0.49496[/C][/ROW]
[ROW][C]195[/C][C]0.501263[/C][C]0.997475[/C][C]0.498737[/C][/ROW]
[ROW][C]196[/C][C]0.487722[/C][C]0.975443[/C][C]0.512278[/C][/ROW]
[ROW][C]197[/C][C]0.490985[/C][C]0.98197[/C][C]0.509015[/C][/ROW]
[ROW][C]198[/C][C]0.478398[/C][C]0.956795[/C][C]0.521602[/C][/ROW]
[ROW][C]199[/C][C]0.486511[/C][C]0.973022[/C][C]0.513489[/C][/ROW]
[ROW][C]200[/C][C]0.483809[/C][C]0.967618[/C][C]0.516191[/C][/ROW]
[ROW][C]201[/C][C]0.476112[/C][C]0.952225[/C][C]0.523888[/C][/ROW]
[ROW][C]202[/C][C]0.482033[/C][C]0.964067[/C][C]0.517967[/C][/ROW]
[ROW][C]203[/C][C]0.487514[/C][C]0.975028[/C][C]0.512486[/C][/ROW]
[ROW][C]204[/C][C]0.487045[/C][C]0.97409[/C][C]0.512955[/C][/ROW]
[ROW][C]205[/C][C]0.486345[/C][C]0.972689[/C][C]0.513655[/C][/ROW]
[ROW][C]206[/C][C]0.482157[/C][C]0.964315[/C][C]0.517843[/C][/ROW]
[ROW][C]207[/C][C]0.477617[/C][C]0.955233[/C][C]0.522383[/C][/ROW]
[ROW][C]208[/C][C]0.483614[/C][C]0.967228[/C][C]0.516386[/C][/ROW]
[ROW][C]209[/C][C]0.484174[/C][C]0.968347[/C][C]0.515826[/C][/ROW]
[ROW][C]210[/C][C]0.493132[/C][C]0.986264[/C][C]0.506868[/C][/ROW]
[ROW][C]211[/C][C]0.486859[/C][C]0.973719[/C][C]0.513141[/C][/ROW]
[ROW][C]212[/C][C]0.503101[/C][C]0.993798[/C][C]0.496899[/C][/ROW]
[ROW][C]213[/C][C]0.492477[/C][C]0.984953[/C][C]0.507523[/C][/ROW]
[ROW][C]214[/C][C]0.485077[/C][C]0.970153[/C][C]0.514923[/C][/ROW]
[ROW][C]215[/C][C]0.517736[/C][C]0.964528[/C][C]0.482264[/C][/ROW]
[ROW][C]216[/C][C]0.525736[/C][C]0.948528[/C][C]0.474264[/C][/ROW]
[ROW][C]217[/C][C]0.508785[/C][C]0.98243[/C][C]0.491215[/C][/ROW]
[ROW][C]218[/C][C]0.515301[/C][C]0.969397[/C][C]0.484699[/C][/ROW]
[ROW][C]219[/C][C]0.522277[/C][C]0.955447[/C][C]0.477723[/C][/ROW]
[ROW][C]220[/C][C]0.517316[/C][C]0.965368[/C][C]0.482684[/C][/ROW]
[ROW][C]221[/C][C]0.520622[/C][C]0.958757[/C][C]0.479378[/C][/ROW]
[ROW][C]222[/C][C]0.522825[/C][C]0.954351[/C][C]0.477175[/C][/ROW]
[ROW][C]223[/C][C]0.526752[/C][C]0.946497[/C][C]0.473248[/C][/ROW]
[ROW][C]224[/C][C]0.522798[/C][C]0.954404[/C][C]0.477202[/C][/ROW]
[ROW][C]225[/C][C]0.527436[/C][C]0.945128[/C][C]0.472564[/C][/ROW]
[ROW][C]226[/C][C]0.507883[/C][C]0.984234[/C][C]0.492117[/C][/ROW]
[ROW][C]227[/C][C]0.496842[/C][C]0.993684[/C][C]0.503158[/C][/ROW]
[ROW][C]228[/C][C]0.49388[/C][C]0.98776[/C][C]0.50612[/C][/ROW]
[ROW][C]229[/C][C]0.475981[/C][C]0.951962[/C][C]0.524019[/C][/ROW]
[ROW][C]230[/C][C]0.512698[/C][C]0.974604[/C][C]0.487302[/C][/ROW]
[ROW][C]231[/C][C]0.510953[/C][C]0.978094[/C][C]0.489047[/C][/ROW]
[ROW][C]232[/C][C]0.516558[/C][C]0.966884[/C][C]0.483442[/C][/ROW]
[ROW][C]233[/C][C]0.506974[/C][C]0.986053[/C][C]0.493026[/C][/ROW]
[ROW][C]234[/C][C]0.509001[/C][C]0.981997[/C][C]0.490999[/C][/ROW]
[ROW][C]235[/C][C]0.492032[/C][C]0.984065[/C][C]0.507968[/C][/ROW]
[ROW][C]236[/C][C]0.507698[/C][C]0.984603[/C][C]0.492302[/C][/ROW]
[ROW][C]237[/C][C]0.522853[/C][C]0.954294[/C][C]0.477147[/C][/ROW]
[ROW][C]238[/C][C]0.526321[/C][C]0.947359[/C][C]0.473679[/C][/ROW]
[ROW][C]239[/C][C]0.572125[/C][C]0.855751[/C][C]0.427875[/C][/ROW]
[ROW][C]240[/C][C]0.550654[/C][C]0.898693[/C][C]0.449346[/C][/ROW]
[ROW][C]241[/C][C]0.578384[/C][C]0.843232[/C][C]0.421616[/C][/ROW]
[ROW][C]242[/C][C]0.592071[/C][C]0.815858[/C][C]0.407929[/C][/ROW]
[ROW][C]243[/C][C]0.620839[/C][C]0.758322[/C][C]0.379161[/C][/ROW]
[ROW][C]244[/C][C]0.596996[/C][C]0.806007[/C][C]0.403004[/C][/ROW]
[ROW][C]245[/C][C]0.637729[/C][C]0.724542[/C][C]0.362271[/C][/ROW]
[ROW][C]246[/C][C]0.702004[/C][C]0.595992[/C][C]0.297996[/C][/ROW]
[ROW][C]247[/C][C]0.671899[/C][C]0.656202[/C][C]0.328101[/C][/ROW]
[ROW][C]248[/C][C]0.715987[/C][C]0.568026[/C][C]0.284013[/C][/ROW]
[ROW][C]249[/C][C]0.687088[/C][C]0.625823[/C][C]0.312912[/C][/ROW]
[ROW][C]250[/C][C]0.659514[/C][C]0.680971[/C][C]0.340486[/C][/ROW]
[ROW][C]251[/C][C]0.640664[/C][C]0.718673[/C][C]0.359336[/C][/ROW]
[ROW][C]252[/C][C]0.685379[/C][C]0.629242[/C][C]0.314621[/C][/ROW]
[ROW][C]253[/C][C]0.657625[/C][C]0.68475[/C][C]0.342375[/C][/ROW]
[ROW][C]254[/C][C]0.628301[/C][C]0.743398[/C][C]0.371699[/C][/ROW]
[ROW][C]255[/C][C]0.708671[/C][C]0.582658[/C][C]0.291329[/C][/ROW]
[ROW][C]256[/C][C]0.785344[/C][C]0.429312[/C][C]0.214656[/C][/ROW]
[ROW][C]257[/C][C]0.864743[/C][C]0.270515[/C][C]0.135257[/C][/ROW]
[ROW][C]258[/C][C]0.925781[/C][C]0.148439[/C][C]0.0742195[/C][/ROW]
[ROW][C]259[/C][C]0.962895[/C][C]0.0742108[/C][C]0.0371054[/C][/ROW]
[ROW][C]260[/C][C]0.990013[/C][C]0.019974[/C][C]0.00998701[/C][/ROW]
[ROW][C]261[/C][C]0.985369[/C][C]0.0292622[/C][C]0.0146311[/C][/ROW]
[ROW][C]262[/C][C]0.978157[/C][C]0.0436865[/C][C]0.0218432[/C][/ROW]
[ROW][C]263[/C][C]0.995972[/C][C]0.00805584[/C][C]0.00402792[/C][/ROW]
[ROW][C]264[/C][C]0.993248[/C][C]0.0135032[/C][C]0.00675162[/C][/ROW]
[ROW][C]265[/C][C]0.990366[/C][C]0.0192676[/C][C]0.00963382[/C][/ROW]
[ROW][C]266[/C][C]0.999622[/C][C]0.000756443[/C][C]0.000378221[/C][/ROW]
[ROW][C]267[/C][C]0.9992[/C][C]0.00159949[/C][C]0.000799745[/C][/ROW]
[ROW][C]268[/C][C]0.99833[/C][C]0.00334061[/C][C]0.0016703[/C][/ROW]
[ROW][C]269[/C][C]0.996684[/C][C]0.00663265[/C][C]0.00331632[/C][/ROW]
[ROW][C]270[/C][C]0.993694[/C][C]0.0126125[/C][C]0.00630625[/C][/ROW]
[ROW][C]271[/C][C]0.987886[/C][C]0.0242276[/C][C]0.0121138[/C][/ROW]
[ROW][C]272[/C][C]0.977923[/C][C]0.0441535[/C][C]0.0220767[/C][/ROW]
[ROW][C]273[/C][C]0.96112[/C][C]0.0777595[/C][C]0.0388797[/C][/ROW]
[ROW][C]274[/C][C]0.935274[/C][C]0.129451[/C][C]0.0647256[/C][/ROW]
[ROW][C]275[/C][C]0.892683[/C][C]0.214634[/C][C]0.107317[/C][/ROW]
[ROW][C]276[/C][C]0.829537[/C][C]0.340926[/C][C]0.170463[/C][/ROW]
[ROW][C]277[/C][C]0.756983[/C][C]0.486034[/C][C]0.243017[/C][/ROW]
[ROW][C]278[/C][C]0.646437[/C][C]0.707127[/C][C]0.353563[/C][/ROW]
[ROW][C]279[/C][C]0.506624[/C][C]0.986752[/C][C]0.493376[/C][/ROW]
[ROW][C]280[/C][C]0.374144[/C][C]0.748288[/C][C]0.625856[/C][/ROW]
[ROW][C]281[/C][C]0.216564[/C][C]0.433127[/C][C]0.783436[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266499&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266499&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
61.55445e-463.10889e-461
7001
89.98423e-771.99685e-761
9001
10001
113.19096e-1226.38193e-1221
121.13829e-1342.27659e-1341
13001
14001
157.59715e-1831.51943e-1821
16001
170.002250290.004500580.99775
180.001098120.002196240.998902
190.000511650.00102330.999488
200.01787280.03574550.982127
210.01174620.02349240.988254
220.00746160.01492320.992538
230.004519030.009038060.995481
240.002702030.005404070.997298
250.001606090.003212170.998394
260.000911730.001823460.999088
270.0005826170.001165230.999417
280.004792760.009585530.995207
290.01740580.03481150.982594
300.01249790.02499580.987502
310.008942470.01788490.991058
320.006123290.01224660.993877
330.004357490.008714970.995643
340.00295610.005912210.997044
350.002003990.004007980.997996
360.001338780.002677570.998661
370.0009127760.001825550.999087
380.0006132980.00122660.999387
390.0003975320.0007950640.999602
400.001816990.003633980.998183
410.001262050.00252410.998738
420.0009016620.001803320.999098
430.0006475580.001295120.999352
440.0004561950.000912390.999544
450.0003344170.0006688330.999666
460.000230240.0004604810.99977
470.0009769950.001953990.999023
480.0007210270.001442050.999279
490.000556590.001113180.999443
500.003327790.006655590.996672
510.002707030.005414060.997293
520.006647090.01329420.993353
530.01336260.02672520.986637
540.03370230.06740470.966298
550.02914950.05829890.970851
560.04539580.09079160.954604
570.0404740.0809480.959526
580.03544580.07089160.964554
590.06332930.1266590.936671
600.0556630.1113260.944337
610.08033410.1606680.919666
620.1086020.2172050.891398
630.1002940.2005870.899706
640.09150690.1830140.908493
650.08522140.1704430.914779
660.07692930.1538590.923071
670.07108430.1421690.928916
680.09661580.1932320.903384
690.08945540.1789110.910545
700.08178320.1635660.918217
710.07378490.147570.926215
720.09781120.1956220.902189
730.09067410.1813480.909326
740.08434230.1686850.915658
750.108380.216760.89162
760.1355560.2711130.864444
770.1333880.2667770.866612
780.1244810.2489620.875519
790.1159370.2318730.884063
800.1407120.2814240.859288
810.1325230.2650460.867477
820.1616610.3233220.838339
830.1610010.3220020.838999
840.1885740.3771490.811426
850.2153990.4307970.784601
860.2439040.4878070.756096
870.2720020.5440040.727998
880.2936490.5872980.706351
890.3189590.6379190.681041
900.3412170.6824330.658783
910.3654670.7309340.634533
920.3854980.7709950.614502
930.4061220.8122450.593878
940.4254350.850870.574565
950.4387750.877550.561225
960.4515070.9030140.548493
970.4625260.9250510.537474
980.4683810.9367620.531619
990.4748280.9496570.525172
1000.4779450.9558910.522055
1010.488770.9775390.51123
1020.5030830.9938340.496917
1030.5031550.9936910.496845
1040.5080740.9838530.491926
1050.5123720.9752550.487628
1060.5128740.9742520.487126
1070.5136040.9727930.486396
1080.5256160.9487680.474384
1090.5211770.9576460.478823
1100.5262840.9474320.473716
1110.5137340.9725320.486266
1120.5049450.990110.495055
1130.5014770.9970450.498523
1140.5041890.9916230.495811
1150.5064920.9870150.493508
1160.5235320.9529360.476468
1170.5186690.9626620.481331
1180.5018780.9962450.498122
1190.4850830.9701660.514917
1200.5113170.9773670.488683
1210.5137090.9725820.486291
1220.5006520.9986970.499348
1230.4837050.9674110.516295
1240.4722740.9445470.527726
1250.4675970.9351950.532403
1260.4510060.9020120.548994
1270.4424580.8849160.557542
1280.4449530.8899050.555047
1290.4422410.8844820.557759
1300.4299270.8598540.570073
1310.4242540.8485080.575746
1320.4551650.9103290.544835
1330.4507120.9014250.549288
1340.4465030.8930060.553497
1350.4349060.8698110.565094
1360.427380.854760.57262
1370.4202270.8404540.579773
1380.4201060.8402130.579894
1390.4200050.8400110.579995
1400.4094660.8189320.590534
1410.4247610.8495220.575239
1420.4099790.8199570.590021
1430.4008390.8016790.599161
1440.4044590.8089190.595541
1450.3924650.7849290.607535
1460.3822120.7644240.617788
1470.3725950.7451890.627405
1480.3629320.7258640.637068
1490.3571740.7143470.642826
1500.3463460.6926910.653654
1510.3442490.6884990.655751
1520.3475420.6950840.652458
1530.3447220.6894440.655278
1540.3399480.6798970.660052
1550.3337030.6674060.666297
1560.3473450.6946890.652655
1570.3453680.6907350.654632
1580.3396620.6793240.660338
1590.3355940.6711870.664406
1600.3494220.6988440.650578
1610.3593210.7186410.640679
1620.3577710.7155420.642229
1630.3615830.7231650.638417
1640.373360.746720.62664
1650.3749650.7499290.625035
1660.397830.7956590.60217
1670.4105520.8211050.589448
1680.4082380.8164760.591762
1690.412980.8259610.58702
1700.4360390.8720770.563961
1710.4305070.8610150.569493
1720.4453040.8906080.554696
1730.44870.8974010.5513
1740.4545150.909030.545485
1750.4484660.8969310.551534
1760.4513240.9026480.548676
1770.4654790.9309580.534521
1780.4657680.9315360.534232
1790.4720710.9441420.527929
1800.4804610.9609220.519539
1810.4897760.9795520.510224
1820.5009360.9981270.499064
1830.4959870.9919750.504013
1840.4985360.9970730.501464
1850.527780.9444390.47222
1860.5224460.9551090.477554
1870.5233180.9533650.476682
1880.5224510.9550990.477549
1890.5249450.950110.475055
1900.5201670.9596660.479833
1910.5195010.9609980.480499
1920.5217150.9565710.478285
1930.5142940.9714110.485706
1940.505040.989920.49496
1950.5012630.9974750.498737
1960.4877220.9754430.512278
1970.4909850.981970.509015
1980.4783980.9567950.521602
1990.4865110.9730220.513489
2000.4838090.9676180.516191
2010.4761120.9522250.523888
2020.4820330.9640670.517967
2030.4875140.9750280.512486
2040.4870450.974090.512955
2050.4863450.9726890.513655
2060.4821570.9643150.517843
2070.4776170.9552330.522383
2080.4836140.9672280.516386
2090.4841740.9683470.515826
2100.4931320.9862640.506868
2110.4868590.9737190.513141
2120.5031010.9937980.496899
2130.4924770.9849530.507523
2140.4850770.9701530.514923
2150.5177360.9645280.482264
2160.5257360.9485280.474264
2170.5087850.982430.491215
2180.5153010.9693970.484699
2190.5222770.9554470.477723
2200.5173160.9653680.482684
2210.5206220.9587570.479378
2220.5228250.9543510.477175
2230.5267520.9464970.473248
2240.5227980.9544040.477202
2250.5274360.9451280.472564
2260.5078830.9842340.492117
2270.4968420.9936840.503158
2280.493880.987760.50612
2290.4759810.9519620.524019
2300.5126980.9746040.487302
2310.5109530.9780940.489047
2320.5165580.9668840.483442
2330.5069740.9860530.493026
2340.5090010.9819970.490999
2350.4920320.9840650.507968
2360.5076980.9846030.492302
2370.5228530.9542940.477147
2380.5263210.9473590.473679
2390.5721250.8557510.427875
2400.5506540.8986930.449346
2410.5783840.8432320.421616
2420.5920710.8158580.407929
2430.6208390.7583220.379161
2440.5969960.8060070.403004
2450.6377290.7245420.362271
2460.7020040.5959920.297996
2470.6718990.6562020.328101
2480.7159870.5680260.284013
2490.6870880.6258230.312912
2500.6595140.6809710.340486
2510.6406640.7186730.359336
2520.6853790.6292420.314621
2530.6576250.684750.342375
2540.6283010.7433980.371699
2550.7086710.5826580.291329
2560.7853440.4293120.214656
2570.8647430.2705150.135257
2580.9257810.1484390.0742195
2590.9628950.07421080.0371054
2600.9900130.0199740.00998701
2610.9853690.02926220.0146311
2620.9781570.04368650.0218432
2630.9959720.008055840.00402792
2640.9932480.01350320.00675162
2650.9903660.01926760.00963382
2660.9996220.0007564430.000378221
2670.99920.001599490.000799745
2680.998330.003340610.0016703
2690.9966840.006632650.00331632
2700.9936940.01261250.00630625
2710.9878860.02422760.0121138
2720.9779230.04415350.0220767
2730.961120.07775950.0388797
2740.9352740.1294510.0647256
2750.8926830.2146340.107317
2760.8295370.3409260.170463
2770.7569830.4860340.243017
2780.6464370.7071270.353563
2790.5066240.9867520.493376
2800.3741440.7482880.625856
2810.2165640.4331270.783436






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level440.15942NOK
5% type I error level610.221014NOK
10% type I error level680.246377NOK

\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 & 44 & 0.15942 & NOK \tabularnewline
5% type I error level & 61 & 0.221014 & NOK \tabularnewline
10% type I error level & 68 & 0.246377 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266499&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]44[/C][C]0.15942[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]61[/C][C]0.221014[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]68[/C][C]0.246377[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266499&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266499&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 level440.15942NOK
5% type I error level610.221014NOK
10% type I error level680.246377NOK


Figures (Output of Computation)

Figure 1
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 2
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 3
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 4
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 5
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 6
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 7
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 8
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 9
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 10
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


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')
}