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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationMon, 15 Dec 2014 19:02:06 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Dec/15/t14186712910rwzdsyi4t07dmq.htm/, Retrieved Thu, 16 May 2024 15:29:06 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=268938, Retrieved Thu, 16 May 2024 15:29:06 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact79

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Central Tendency] [] [2014-11-04 10:08:09] [32b17a345b130fdf5cc88718ed94a974]
-       [Central Tendency] [WS7 3] [2014-11-12 20:26:33] [81f624c2f0b20a2549c93e7c3dccf981]
-    D    [Central Tendency] [] [2014-12-15 16:40:00] [ae96d02647dd9ad9c105f1fa6642e295]
- RM D        [Multiple Regression] [] [2014-12-15 19:02:06] [4ade5e15fc88dfcb6333f94ac70b9a75] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
13 12 12.9
8 8 12.2
14 11 12.8
16 13 7.4
14 11 6.7
13 10 12.6
15 7 14.8
13 10 13.3
20 15 11.1
17 12 8.2
15 12 11.4
16 10 6.4
12 10 10.6
17 14 12
11 6 6.3
16 12 11.3
16 14 11.9
15 11 9.3
13 8 9.6
14 12 10
19 15 6.4
16 13 13.8
17 11 10.8
10 12 13.8
15 7 11.7
14 11 10.9
14 7 16.1
16 12 13.4
15 12 9.9
17 13 11.5
14 9 8.3
16 11 11.7
15 12 9
16 15 9.7
16 12 10.8
10 6 10.3
8 5 10.4
17 13 12.7
14 11 9.3
10 6 11.8
14 12 5.9
12 10 11.4
16 6 13
16 12 10.8
16 11 12.3
8 6 11.3
16 12 11.8
15 12 7.9
8 8 12.7
13 10 12.3
14 11 11.6
13 7 6.7
16 12 10.9
19 13 12.1
19 14 13.3
14 12 10.1
15 6 5.7
13 14 14.3
10 10 8
16 12 13.3
15 11 9.3
11 10 12.5
9 7 7.6
16 12 15.9
12 7 9.2
12 12 9.1
14 12 11.1
14 10 13
13 10 14.5
15 12 12.2
17 12 12.3
14 12 11.4
11 8 8.8
9 10 14.6
7 5 12.6
15 10 13
12 12 12.6
15 11 13.2
14 9 9.9
16 12 7.7
14 11 10.5
13 10 13.4
16 12 10.9
13 10 4.3
16 9 10.3
16 11 11.8
16 12 11.2
10 7 11.4
12 11 8.6
12 12 13.2
12 6 12.6
12 9 5.6
19 15 9.9
14 10 8.8
13 11 7.7
16 12 9
15 12 7.3
12 12 11.4
8 11 13.6
10 9 7.9
16 11 10.7
16 12 10.3
10 12 8.3
18 14 9.6
12 8 14.2
16 10 8.5
10 9 13.5
14 10 4.9
12 9 6.4
11 10 9.6
15 12 11.6
7 11 11.1
16 9 4.35
16 11 12.7
16 12 18.1
16 12 17.85
12 7 16.6
15 12 12.6
14 12 17.1
15 12 19.1
16 10 16.1
13 15 13.35
10 10 18.4
17 15 14.7
15 10 10.6
18 15 12.6
16 9 16.2
20 15 13.6
16 12 18.9
17 13 14.1
16 12 14.5
15 12 16.15
13 8 14.75
16 9 14.8
16 15 12.45
16 12 12.65
17 12 17.35
20 15 8.6
14 11 18.4
17 12 16.1
6 6 11.6
16 14 17.75
15 12 15.25
16 12 17.65
16 12 16.35
14 11 17.65
16 12 13.6
16 12 14.35
16 12 14.75
14 12 18.25
14 8 9.9
16 8 16
16 12 18.25
15 12 16.85
16 11 14.6
16 10 13.85
18 11 18.95
15 12 15.6
16 13 14.85
16 12 11.75
16 12 18.45
17 10 15.9
14 10 17.1
18 11 16.1
9 8 19.9
15 12 10.95
14 9 18.45
15 12 15.1
13 9 15
16 11 11.35
20 15 15.95
14 8 18.1
12 8 14.6
15 11 15.4
15 11 15.4
15 11 17.6
16 13 13.35
11 7 19.1
16 12 15.35
7 8 7.6
11 8 13.4
9 4 13.9
15 11 19.1
16 10 15.25
14 7 12.9
15 12 16.1
13 11 17.35
13 9 13.15
12 10 12.15
16 8 12.6
14 8 10.35
16 11 15.4
14 12 9.6
15 10 18.2
10 10 13.6
16 12 14.85
14 8 14.75
16 11 14.1
12 8 14.9
16 10 16.25
16 14 19.25
15 9 13.6
14 9 13.6
16 10 15.65
11 13 12.75
15 12 14.6
18 13 9.85
13 8 12.65
7 3 19.2
7 8 16.6
17 12 11.2
18 11 15.25
15 9 11.9
8 12 13.2
13 12 16.35
13 12 12.4
15 10 15.85
18 13 18.15
16 9 11.15
14 12 15.65
15 11 17.75
19 14 7.65
16 11 12.35
12 9 15.6
16 12 19.3
11 8 15.2
16 15 17.1
15 12 15.6
19 14 18.4
15 12 19.05
14 9 18.55
14 9 19.1
17 13 13.1
16 13 12.85
20 15 9.5
16 11 4.5
9 7 11.85
13 10 13.6
15 11 11.7
19 14 12.4
16 14 13.35
17 13 11.4
16 12 14.9
9 8 19.9
11 13 11.2
14 9 14.6
19 12 17.6
13 13 14.05
14 11 16.1
15 11 13.35
15 13 11.85
14 12 11.95
16 12 14.75
17 10 15.15
12 9 13.2
15 10 16.85
17 13 7.85
15 13 7.7
10 9 12.6
16 11 7.85
15 12 10.95
11 8 12.35
16 12 9.95
16 12 14.9
16 12 16.65
14 9 13.4
14 12 13.95
16 12 15.7
16 11 16.85
18 12 10.95
14 6 15.35
20 7 12.2
15 10 15.1
16 12 17.75
16 10 15.2
16 12 14.6
12 9 16.65
8 3 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'Sir Maurice George Kendall' @ kendall.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 & 'Sir Maurice George Kendall' @ kendall.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268938&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]'Sir Maurice George Kendall' @ kendall.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268938&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268938&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'Sir Maurice George Kendall' @ kendall.wessa.net






Multiple Linear Regression - Estimated Regression Equation
TOT[t] = + 11.9367 + 0.0963411CONFSTATTOT[t] -0.0323559CONFSOFTTOT[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
TOT[t] =  +  11.9367 +  0.0963411CONFSTATTOT[t] -0.0323559CONFSOFTTOT[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268938&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]TOT[t] =  +  11.9367 +  0.0963411CONFSTATTOT[t] -0.0323559CONFSOFTTOT[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268938&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268938&T=1

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


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

Multiple Linear Regression - Estimated Regression Equation
TOT[t] = + 11.9367 + 0.0963411CONFSTATTOT[t] -0.0323559CONFSOFTTOT[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)11.93671.1526610.361.95238e-219.7619e-22
CONFSTATTOT0.09634110.09572311.0060.3150810.15754
CONFSOFTTOT-0.03235590.114558-0.28240.7778170.388909

\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) & 11.9367 & 1.15266 & 10.36 & 1.95238e-21 & 9.7619e-22 \tabularnewline
CONFSTATTOT & 0.0963411 & 0.0957231 & 1.006 & 0.315081 & 0.15754 \tabularnewline
CONFSOFTTOT & -0.0323559 & 0.114558 & -0.2824 & 0.777817 & 0.388909 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268938&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]11.9367[/C][C]1.15266[/C][C]10.36[/C][C]1.95238e-21[/C][C]9.7619e-22[/C][/ROW]
[ROW][C]CONFSTATTOT[/C][C]0.0963411[/C][C]0.0957231[/C][C]1.006[/C][C]0.315081[/C][C]0.15754[/C][/ROW]
[ROW][C]CONFSOFTTOT[/C][C]-0.0323559[/C][C]0.114558[/C][C]-0.2824[/C][C]0.777817[/C][C]0.388909[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268938&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268938&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)11.93671.1526610.361.95238e-219.7619e-22
CONFSTATTOT0.09634110.09572311.0060.3150810.15754
CONFSOFTTOT-0.03235590.114558-0.28240.7778170.388909






Multiple Linear Regression - Regression Statistics
Multiple R0.0662537
R-squared0.00438955
Adjusted R-squared-0.00285126
F-TEST (value)0.606224
F-TEST (DF numerator)2
F-TEST (DF denominator)275
p-value0.546134
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation3.39919
Sum Squared Residuals3177.49

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.0662537 \tabularnewline
R-squared & 0.00438955 \tabularnewline
Adjusted R-squared & -0.00285126 \tabularnewline
F-TEST (value) & 0.606224 \tabularnewline
F-TEST (DF numerator) & 2 \tabularnewline
F-TEST (DF denominator) & 275 \tabularnewline
p-value & 0.546134 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 3.39919 \tabularnewline
Sum Squared Residuals & 3177.49 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268938&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.0662537[/C][/ROW]
[ROW][C]R-squared[/C][C]0.00438955[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]-0.00285126[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]0.606224[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]2[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]275[/C][/ROW]
[ROW][C]p-value[/C][C]0.546134[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]3.39919[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]3177.49[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268938&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268938&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 R0.0662537
R-squared0.00438955
Adjusted R-squared-0.00285126
F-TEST (value)0.606224
F-TEST (DF numerator)2
F-TEST (DF denominator)275
p-value0.546134
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation3.39919
Sum Squared Residuals3177.49






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
112.912.80080.0991579
212.212.4486-0.24856
312.812.9295-0.129539
47.413.0575-5.65751
56.712.9295-6.22954
612.612.8656-0.265554
714.813.15531.6447
813.312.86560.434446
911.113.3782-2.27816
108.213.1862-4.98621
1111.412.9935-1.59352
126.413.1546-6.75458
1310.612.7692-2.16921
141213.1215-1.12149
156.312.8023-6.5023
1611.313.0899-1.78987
1711.913.0252-1.12515
189.313.0259-3.72588
199.612.9303-3.33027
201012.8972-2.89718
216.413.2818-6.88182
2213.813.05750.74249
2310.813.2186-2.41856
2413.812.51181.28818
2511.713.1553-1.4553
2610.912.9295-2.02954
2716.113.0593.04104
2813.413.08990.310134
299.912.9935-3.09352
3011.513.1539-1.65385
318.312.9943-4.69425
3211.713.1222-1.42222
33912.9935-3.99352
349.712.9928-3.2928
3510.813.0899-2.28987
3610.312.706-2.40595
3710.412.5456-2.14563
3812.713.1539-0.453851
399.312.9295-3.62954
4011.812.706-0.905954
415.912.8972-6.99718
4211.412.7692-1.36921
431313.284-0.284001
4410.813.0899-2.28987
4512.313.1222-0.822221
4611.312.5133-1.21327
4711.813.0899-1.28987
487.912.9935-5.09352
4912.712.44860.25144
5012.312.8656-0.565554
5111.612.9295-1.32954
526.712.9626-6.26262
5310.913.0899-2.18987
5412.113.3465-1.24653
5513.313.3142-0.0141772
5610.112.8972-2.79718
575.713.1877-7.48766
5814.312.73611.56387
59812.5765-4.57653
6013.313.08990.210134
619.313.0259-3.72588
6212.512.6729-0.172872
637.612.5773-4.97726
6415.913.08992.81013
659.212.8663-3.66628
669.112.7045-3.6045
6711.112.8972-1.79718
681312.96190.038105
6914.512.86561.63445
7012.212.9935-0.793524
7112.313.1862-0.886207
7211.412.8972-1.49718
738.812.7376-3.93758
7414.612.48022.11981
7512.612.44930.150714
761313.0582-0.0582362
7712.612.7045-0.104501
7813.213.02590.17412
799.912.9943-3.09425
807.713.0899-5.38987
8110.512.9295-2.42954
8213.412.86560.534446
8310.913.0899-2.18987
844.312.8656-8.56555
8510.313.1869-2.88693
8611.813.1222-1.32222
8711.213.0899-1.88987
8811.412.6736-1.2736
898.612.7369-4.13686
9013.212.70450.495499
9112.612.8986-0.298636
925.612.8016-7.20157
939.913.2818-3.38182
948.812.9619-4.1619
957.712.8332-5.1332
96913.0899-4.08987
977.312.9935-5.69352
9811.412.7045-1.3045
9913.612.35151.24851
1007.912.6089-4.70889
10110.713.1222-2.42222
10210.313.0899-2.78987
1038.312.5118-4.21182
1049.613.2178-3.61784
10514.212.83391.36608
1068.513.1546-4.65458
10713.512.60890.891114
1084.912.9619-8.0619
1096.412.8016-6.40157
1109.612.6729-3.07287
11111.612.9935-1.39352
11211.112.2552-1.15515
1134.3513.1869-8.83693
11412.713.1222-0.422221
11518.113.08995.01013
11617.8513.08994.76013
11716.612.86633.73372
11812.612.9935-0.393524
11917.112.89724.20282
12019.112.99356.10648
12116.113.15462.94542
12213.3512.70380.646226
12318.412.57655.82347
12414.713.08911.61086
12510.613.0582-2.45824
12612.613.1855-0.58548
12716.213.18693.01307
12813.613.37820.221838
12918.913.08995.81013
13014.113.15390.946149
13114.513.08991.41013
13216.1512.99353.15648
13314.7512.93031.81973
13414.813.18691.61307
13512.4512.9928-0.542798
13612.6513.0899-0.439866
13717.3513.18624.16379
1388.613.3782-4.77816
13918.412.92955.47046
14016.113.18622.91379
14111.612.3206-0.720589
14217.7513.02524.72485
14315.2512.99352.25648
14417.6513.08994.56013
14516.3513.08993.26013
14617.6512.92954.72046
14713.613.08990.510134
14814.3513.08991.26013
14914.7513.08991.66013
15018.2512.89725.35282
1519.913.0266-3.12661
1521613.21932.78071
15318.2513.08995.16013
15416.8512.99353.85648
15514.613.12221.47778
15613.8513.15460.695423
15718.9513.31495.6351
15815.612.99352.60648
15914.8513.05751.79249
16011.7513.0899-1.33987
16118.4513.08995.36013
16215.913.25092.64908
16317.112.96194.1381
16416.113.31492.7851
16519.912.54497.3551
16610.9512.9935-2.04352
16718.4512.99435.45575
16815.112.99352.10648
1691512.89792.10209
17011.3513.1222-1.77222
17115.9513.37822.57184
17218.113.02665.07339
17314.612.83391.76608
17415.413.02592.37412
17515.413.02592.37412
17617.613.02594.57412
17713.3513.05750.29249
17819.112.76996.33006
17915.3513.08992.26013
1807.612.3522-4.75222
18113.412.73760.662417
18213.912.67431.22568
18319.113.02596.07412
18415.2513.15462.09542
18512.913.059-0.158963
18616.112.99353.10648
18717.3512.83324.5168
18813.1512.89790.25209
18912.1512.7692-0.619213
19012.613.2193-0.619289
19110.3513.0266-2.67661
19215.413.12222.27778
1939.612.8972-3.29718
19418.213.05825.14176
19513.612.57651.02347
19614.8513.08991.76013
19714.7513.02661.72339
19814.113.12220.977779
19914.912.83392.06608
20016.2513.15463.09542
20119.2513.02526.22485
20213.613.09060.509408
20313.612.99430.605749
20415.6513.15462.49542
20512.7512.57580.174196
20614.612.99351.60648
2079.8513.2502-3.40019
20812.6512.9303-0.280266
20919.212.5146.686
21016.612.35224.24778
21111.213.1862-1.98621
21215.2513.31491.9351
21311.913.0906-1.19059
21413.212.31910.880864
21516.3512.80083.54916
21612.412.8008-0.400842
21715.8513.05822.79176
21818.1513.25024.89981
21911.1513.1869-2.03693
22015.6512.89722.75282
22117.7513.02594.72412
2227.6513.3142-5.66418
22312.3513.1222-0.772221
22415.612.80162.79843
22519.313.08996.21013
22615.212.73762.46242
22717.112.99284.1072
22815.612.99352.60648
22918.413.31425.08582
23019.0512.99356.05648
23118.5512.99435.55575
23219.112.99436.10575
23313.113.1539-0.0538508
23412.8513.0575-0.20751
2359.513.3782-3.87816
2364.513.1222-8.62222
23711.8512.5773-0.727257
23813.612.86560.734446
23911.713.0259-1.32588
24012.413.3142-0.914177
24113.3513.02520.324846
24211.413.1539-1.75385
24314.913.08991.81013
24419.912.54497.3551
24511.212.5758-1.3758
24614.612.99431.60575
24717.613.37894.22111
24814.0512.76851.28151
24916.112.92953.17046
25013.3513.02590.32412
25111.8512.9612-1.11117
25211.9512.8972-0.947183
25314.7513.08991.66013
25415.1513.25091.89908
25513.212.80160.398431
25616.8513.05823.79176
2577.8513.1539-5.30385
2587.712.9612-5.26117
25912.612.6089-0.00888631
2607.8513.1222-5.27222
26110.9512.9935-2.04352
26212.3512.7376-0.387583
2639.9513.0899-3.13987
26414.913.08991.81013
26516.6513.08993.56013
26613.412.99430.405749
26713.9512.89721.05282
26815.713.08992.61013
26916.8513.12223.72778
27010.9513.2825-2.33255
27115.3513.09132.25868
27212.213.637-1.43701
27315.113.05822.04176
27417.7513.08994.66013
27515.213.15462.04542
27614.613.08991.51013
27716.6512.80163.84843
2788.112.6103-4.51034

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 12.9 & 12.8008 & 0.0991579 \tabularnewline
2 & 12.2 & 12.4486 & -0.24856 \tabularnewline
3 & 12.8 & 12.9295 & -0.129539 \tabularnewline
4 & 7.4 & 13.0575 & -5.65751 \tabularnewline
5 & 6.7 & 12.9295 & -6.22954 \tabularnewline
6 & 12.6 & 12.8656 & -0.265554 \tabularnewline
7 & 14.8 & 13.1553 & 1.6447 \tabularnewline
8 & 13.3 & 12.8656 & 0.434446 \tabularnewline
9 & 11.1 & 13.3782 & -2.27816 \tabularnewline
10 & 8.2 & 13.1862 & -4.98621 \tabularnewline
11 & 11.4 & 12.9935 & -1.59352 \tabularnewline
12 & 6.4 & 13.1546 & -6.75458 \tabularnewline
13 & 10.6 & 12.7692 & -2.16921 \tabularnewline
14 & 12 & 13.1215 & -1.12149 \tabularnewline
15 & 6.3 & 12.8023 & -6.5023 \tabularnewline
16 & 11.3 & 13.0899 & -1.78987 \tabularnewline
17 & 11.9 & 13.0252 & -1.12515 \tabularnewline
18 & 9.3 & 13.0259 & -3.72588 \tabularnewline
19 & 9.6 & 12.9303 & -3.33027 \tabularnewline
20 & 10 & 12.8972 & -2.89718 \tabularnewline
21 & 6.4 & 13.2818 & -6.88182 \tabularnewline
22 & 13.8 & 13.0575 & 0.74249 \tabularnewline
23 & 10.8 & 13.2186 & -2.41856 \tabularnewline
24 & 13.8 & 12.5118 & 1.28818 \tabularnewline
25 & 11.7 & 13.1553 & -1.4553 \tabularnewline
26 & 10.9 & 12.9295 & -2.02954 \tabularnewline
27 & 16.1 & 13.059 & 3.04104 \tabularnewline
28 & 13.4 & 13.0899 & 0.310134 \tabularnewline
29 & 9.9 & 12.9935 & -3.09352 \tabularnewline
30 & 11.5 & 13.1539 & -1.65385 \tabularnewline
31 & 8.3 & 12.9943 & -4.69425 \tabularnewline
32 & 11.7 & 13.1222 & -1.42222 \tabularnewline
33 & 9 & 12.9935 & -3.99352 \tabularnewline
34 & 9.7 & 12.9928 & -3.2928 \tabularnewline
35 & 10.8 & 13.0899 & -2.28987 \tabularnewline
36 & 10.3 & 12.706 & -2.40595 \tabularnewline
37 & 10.4 & 12.5456 & -2.14563 \tabularnewline
38 & 12.7 & 13.1539 & -0.453851 \tabularnewline
39 & 9.3 & 12.9295 & -3.62954 \tabularnewline
40 & 11.8 & 12.706 & -0.905954 \tabularnewline
41 & 5.9 & 12.8972 & -6.99718 \tabularnewline
42 & 11.4 & 12.7692 & -1.36921 \tabularnewline
43 & 13 & 13.284 & -0.284001 \tabularnewline
44 & 10.8 & 13.0899 & -2.28987 \tabularnewline
45 & 12.3 & 13.1222 & -0.822221 \tabularnewline
46 & 11.3 & 12.5133 & -1.21327 \tabularnewline
47 & 11.8 & 13.0899 & -1.28987 \tabularnewline
48 & 7.9 & 12.9935 & -5.09352 \tabularnewline
49 & 12.7 & 12.4486 & 0.25144 \tabularnewline
50 & 12.3 & 12.8656 & -0.565554 \tabularnewline
51 & 11.6 & 12.9295 & -1.32954 \tabularnewline
52 & 6.7 & 12.9626 & -6.26262 \tabularnewline
53 & 10.9 & 13.0899 & -2.18987 \tabularnewline
54 & 12.1 & 13.3465 & -1.24653 \tabularnewline
55 & 13.3 & 13.3142 & -0.0141772 \tabularnewline
56 & 10.1 & 12.8972 & -2.79718 \tabularnewline
57 & 5.7 & 13.1877 & -7.48766 \tabularnewline
58 & 14.3 & 12.7361 & 1.56387 \tabularnewline
59 & 8 & 12.5765 & -4.57653 \tabularnewline
60 & 13.3 & 13.0899 & 0.210134 \tabularnewline
61 & 9.3 & 13.0259 & -3.72588 \tabularnewline
62 & 12.5 & 12.6729 & -0.172872 \tabularnewline
63 & 7.6 & 12.5773 & -4.97726 \tabularnewline
64 & 15.9 & 13.0899 & 2.81013 \tabularnewline
65 & 9.2 & 12.8663 & -3.66628 \tabularnewline
66 & 9.1 & 12.7045 & -3.6045 \tabularnewline
67 & 11.1 & 12.8972 & -1.79718 \tabularnewline
68 & 13 & 12.9619 & 0.038105 \tabularnewline
69 & 14.5 & 12.8656 & 1.63445 \tabularnewline
70 & 12.2 & 12.9935 & -0.793524 \tabularnewline
71 & 12.3 & 13.1862 & -0.886207 \tabularnewline
72 & 11.4 & 12.8972 & -1.49718 \tabularnewline
73 & 8.8 & 12.7376 & -3.93758 \tabularnewline
74 & 14.6 & 12.4802 & 2.11981 \tabularnewline
75 & 12.6 & 12.4493 & 0.150714 \tabularnewline
76 & 13 & 13.0582 & -0.0582362 \tabularnewline
77 & 12.6 & 12.7045 & -0.104501 \tabularnewline
78 & 13.2 & 13.0259 & 0.17412 \tabularnewline
79 & 9.9 & 12.9943 & -3.09425 \tabularnewline
80 & 7.7 & 13.0899 & -5.38987 \tabularnewline
81 & 10.5 & 12.9295 & -2.42954 \tabularnewline
82 & 13.4 & 12.8656 & 0.534446 \tabularnewline
83 & 10.9 & 13.0899 & -2.18987 \tabularnewline
84 & 4.3 & 12.8656 & -8.56555 \tabularnewline
85 & 10.3 & 13.1869 & -2.88693 \tabularnewline
86 & 11.8 & 13.1222 & -1.32222 \tabularnewline
87 & 11.2 & 13.0899 & -1.88987 \tabularnewline
88 & 11.4 & 12.6736 & -1.2736 \tabularnewline
89 & 8.6 & 12.7369 & -4.13686 \tabularnewline
90 & 13.2 & 12.7045 & 0.495499 \tabularnewline
91 & 12.6 & 12.8986 & -0.298636 \tabularnewline
92 & 5.6 & 12.8016 & -7.20157 \tabularnewline
93 & 9.9 & 13.2818 & -3.38182 \tabularnewline
94 & 8.8 & 12.9619 & -4.1619 \tabularnewline
95 & 7.7 & 12.8332 & -5.1332 \tabularnewline
96 & 9 & 13.0899 & -4.08987 \tabularnewline
97 & 7.3 & 12.9935 & -5.69352 \tabularnewline
98 & 11.4 & 12.7045 & -1.3045 \tabularnewline
99 & 13.6 & 12.3515 & 1.24851 \tabularnewline
100 & 7.9 & 12.6089 & -4.70889 \tabularnewline
101 & 10.7 & 13.1222 & -2.42222 \tabularnewline
102 & 10.3 & 13.0899 & -2.78987 \tabularnewline
103 & 8.3 & 12.5118 & -4.21182 \tabularnewline
104 & 9.6 & 13.2178 & -3.61784 \tabularnewline
105 & 14.2 & 12.8339 & 1.36608 \tabularnewline
106 & 8.5 & 13.1546 & -4.65458 \tabularnewline
107 & 13.5 & 12.6089 & 0.891114 \tabularnewline
108 & 4.9 & 12.9619 & -8.0619 \tabularnewline
109 & 6.4 & 12.8016 & -6.40157 \tabularnewline
110 & 9.6 & 12.6729 & -3.07287 \tabularnewline
111 & 11.6 & 12.9935 & -1.39352 \tabularnewline
112 & 11.1 & 12.2552 & -1.15515 \tabularnewline
113 & 4.35 & 13.1869 & -8.83693 \tabularnewline
114 & 12.7 & 13.1222 & -0.422221 \tabularnewline
115 & 18.1 & 13.0899 & 5.01013 \tabularnewline
116 & 17.85 & 13.0899 & 4.76013 \tabularnewline
117 & 16.6 & 12.8663 & 3.73372 \tabularnewline
118 & 12.6 & 12.9935 & -0.393524 \tabularnewline
119 & 17.1 & 12.8972 & 4.20282 \tabularnewline
120 & 19.1 & 12.9935 & 6.10648 \tabularnewline
121 & 16.1 & 13.1546 & 2.94542 \tabularnewline
122 & 13.35 & 12.7038 & 0.646226 \tabularnewline
123 & 18.4 & 12.5765 & 5.82347 \tabularnewline
124 & 14.7 & 13.0891 & 1.61086 \tabularnewline
125 & 10.6 & 13.0582 & -2.45824 \tabularnewline
126 & 12.6 & 13.1855 & -0.58548 \tabularnewline
127 & 16.2 & 13.1869 & 3.01307 \tabularnewline
128 & 13.6 & 13.3782 & 0.221838 \tabularnewline
129 & 18.9 & 13.0899 & 5.81013 \tabularnewline
130 & 14.1 & 13.1539 & 0.946149 \tabularnewline
131 & 14.5 & 13.0899 & 1.41013 \tabularnewline
132 & 16.15 & 12.9935 & 3.15648 \tabularnewline
133 & 14.75 & 12.9303 & 1.81973 \tabularnewline
134 & 14.8 & 13.1869 & 1.61307 \tabularnewline
135 & 12.45 & 12.9928 & -0.542798 \tabularnewline
136 & 12.65 & 13.0899 & -0.439866 \tabularnewline
137 & 17.35 & 13.1862 & 4.16379 \tabularnewline
138 & 8.6 & 13.3782 & -4.77816 \tabularnewline
139 & 18.4 & 12.9295 & 5.47046 \tabularnewline
140 & 16.1 & 13.1862 & 2.91379 \tabularnewline
141 & 11.6 & 12.3206 & -0.720589 \tabularnewline
142 & 17.75 & 13.0252 & 4.72485 \tabularnewline
143 & 15.25 & 12.9935 & 2.25648 \tabularnewline
144 & 17.65 & 13.0899 & 4.56013 \tabularnewline
145 & 16.35 & 13.0899 & 3.26013 \tabularnewline
146 & 17.65 & 12.9295 & 4.72046 \tabularnewline
147 & 13.6 & 13.0899 & 0.510134 \tabularnewline
148 & 14.35 & 13.0899 & 1.26013 \tabularnewline
149 & 14.75 & 13.0899 & 1.66013 \tabularnewline
150 & 18.25 & 12.8972 & 5.35282 \tabularnewline
151 & 9.9 & 13.0266 & -3.12661 \tabularnewline
152 & 16 & 13.2193 & 2.78071 \tabularnewline
153 & 18.25 & 13.0899 & 5.16013 \tabularnewline
154 & 16.85 & 12.9935 & 3.85648 \tabularnewline
155 & 14.6 & 13.1222 & 1.47778 \tabularnewline
156 & 13.85 & 13.1546 & 0.695423 \tabularnewline
157 & 18.95 & 13.3149 & 5.6351 \tabularnewline
158 & 15.6 & 12.9935 & 2.60648 \tabularnewline
159 & 14.85 & 13.0575 & 1.79249 \tabularnewline
160 & 11.75 & 13.0899 & -1.33987 \tabularnewline
161 & 18.45 & 13.0899 & 5.36013 \tabularnewline
162 & 15.9 & 13.2509 & 2.64908 \tabularnewline
163 & 17.1 & 12.9619 & 4.1381 \tabularnewline
164 & 16.1 & 13.3149 & 2.7851 \tabularnewline
165 & 19.9 & 12.5449 & 7.3551 \tabularnewline
166 & 10.95 & 12.9935 & -2.04352 \tabularnewline
167 & 18.45 & 12.9943 & 5.45575 \tabularnewline
168 & 15.1 & 12.9935 & 2.10648 \tabularnewline
169 & 15 & 12.8979 & 2.10209 \tabularnewline
170 & 11.35 & 13.1222 & -1.77222 \tabularnewline
171 & 15.95 & 13.3782 & 2.57184 \tabularnewline
172 & 18.1 & 13.0266 & 5.07339 \tabularnewline
173 & 14.6 & 12.8339 & 1.76608 \tabularnewline
174 & 15.4 & 13.0259 & 2.37412 \tabularnewline
175 & 15.4 & 13.0259 & 2.37412 \tabularnewline
176 & 17.6 & 13.0259 & 4.57412 \tabularnewline
177 & 13.35 & 13.0575 & 0.29249 \tabularnewline
178 & 19.1 & 12.7699 & 6.33006 \tabularnewline
179 & 15.35 & 13.0899 & 2.26013 \tabularnewline
180 & 7.6 & 12.3522 & -4.75222 \tabularnewline
181 & 13.4 & 12.7376 & 0.662417 \tabularnewline
182 & 13.9 & 12.6743 & 1.22568 \tabularnewline
183 & 19.1 & 13.0259 & 6.07412 \tabularnewline
184 & 15.25 & 13.1546 & 2.09542 \tabularnewline
185 & 12.9 & 13.059 & -0.158963 \tabularnewline
186 & 16.1 & 12.9935 & 3.10648 \tabularnewline
187 & 17.35 & 12.8332 & 4.5168 \tabularnewline
188 & 13.15 & 12.8979 & 0.25209 \tabularnewline
189 & 12.15 & 12.7692 & -0.619213 \tabularnewline
190 & 12.6 & 13.2193 & -0.619289 \tabularnewline
191 & 10.35 & 13.0266 & -2.67661 \tabularnewline
192 & 15.4 & 13.1222 & 2.27778 \tabularnewline
193 & 9.6 & 12.8972 & -3.29718 \tabularnewline
194 & 18.2 & 13.0582 & 5.14176 \tabularnewline
195 & 13.6 & 12.5765 & 1.02347 \tabularnewline
196 & 14.85 & 13.0899 & 1.76013 \tabularnewline
197 & 14.75 & 13.0266 & 1.72339 \tabularnewline
198 & 14.1 & 13.1222 & 0.977779 \tabularnewline
199 & 14.9 & 12.8339 & 2.06608 \tabularnewline
200 & 16.25 & 13.1546 & 3.09542 \tabularnewline
201 & 19.25 & 13.0252 & 6.22485 \tabularnewline
202 & 13.6 & 13.0906 & 0.509408 \tabularnewline
203 & 13.6 & 12.9943 & 0.605749 \tabularnewline
204 & 15.65 & 13.1546 & 2.49542 \tabularnewline
205 & 12.75 & 12.5758 & 0.174196 \tabularnewline
206 & 14.6 & 12.9935 & 1.60648 \tabularnewline
207 & 9.85 & 13.2502 & -3.40019 \tabularnewline
208 & 12.65 & 12.9303 & -0.280266 \tabularnewline
209 & 19.2 & 12.514 & 6.686 \tabularnewline
210 & 16.6 & 12.3522 & 4.24778 \tabularnewline
211 & 11.2 & 13.1862 & -1.98621 \tabularnewline
212 & 15.25 & 13.3149 & 1.9351 \tabularnewline
213 & 11.9 & 13.0906 & -1.19059 \tabularnewline
214 & 13.2 & 12.3191 & 0.880864 \tabularnewline
215 & 16.35 & 12.8008 & 3.54916 \tabularnewline
216 & 12.4 & 12.8008 & -0.400842 \tabularnewline
217 & 15.85 & 13.0582 & 2.79176 \tabularnewline
218 & 18.15 & 13.2502 & 4.89981 \tabularnewline
219 & 11.15 & 13.1869 & -2.03693 \tabularnewline
220 & 15.65 & 12.8972 & 2.75282 \tabularnewline
221 & 17.75 & 13.0259 & 4.72412 \tabularnewline
222 & 7.65 & 13.3142 & -5.66418 \tabularnewline
223 & 12.35 & 13.1222 & -0.772221 \tabularnewline
224 & 15.6 & 12.8016 & 2.79843 \tabularnewline
225 & 19.3 & 13.0899 & 6.21013 \tabularnewline
226 & 15.2 & 12.7376 & 2.46242 \tabularnewline
227 & 17.1 & 12.9928 & 4.1072 \tabularnewline
228 & 15.6 & 12.9935 & 2.60648 \tabularnewline
229 & 18.4 & 13.3142 & 5.08582 \tabularnewline
230 & 19.05 & 12.9935 & 6.05648 \tabularnewline
231 & 18.55 & 12.9943 & 5.55575 \tabularnewline
232 & 19.1 & 12.9943 & 6.10575 \tabularnewline
233 & 13.1 & 13.1539 & -0.0538508 \tabularnewline
234 & 12.85 & 13.0575 & -0.20751 \tabularnewline
235 & 9.5 & 13.3782 & -3.87816 \tabularnewline
236 & 4.5 & 13.1222 & -8.62222 \tabularnewline
237 & 11.85 & 12.5773 & -0.727257 \tabularnewline
238 & 13.6 & 12.8656 & 0.734446 \tabularnewline
239 & 11.7 & 13.0259 & -1.32588 \tabularnewline
240 & 12.4 & 13.3142 & -0.914177 \tabularnewline
241 & 13.35 & 13.0252 & 0.324846 \tabularnewline
242 & 11.4 & 13.1539 & -1.75385 \tabularnewline
243 & 14.9 & 13.0899 & 1.81013 \tabularnewline
244 & 19.9 & 12.5449 & 7.3551 \tabularnewline
245 & 11.2 & 12.5758 & -1.3758 \tabularnewline
246 & 14.6 & 12.9943 & 1.60575 \tabularnewline
247 & 17.6 & 13.3789 & 4.22111 \tabularnewline
248 & 14.05 & 12.7685 & 1.28151 \tabularnewline
249 & 16.1 & 12.9295 & 3.17046 \tabularnewline
250 & 13.35 & 13.0259 & 0.32412 \tabularnewline
251 & 11.85 & 12.9612 & -1.11117 \tabularnewline
252 & 11.95 & 12.8972 & -0.947183 \tabularnewline
253 & 14.75 & 13.0899 & 1.66013 \tabularnewline
254 & 15.15 & 13.2509 & 1.89908 \tabularnewline
255 & 13.2 & 12.8016 & 0.398431 \tabularnewline
256 & 16.85 & 13.0582 & 3.79176 \tabularnewline
257 & 7.85 & 13.1539 & -5.30385 \tabularnewline
258 & 7.7 & 12.9612 & -5.26117 \tabularnewline
259 & 12.6 & 12.6089 & -0.00888631 \tabularnewline
260 & 7.85 & 13.1222 & -5.27222 \tabularnewline
261 & 10.95 & 12.9935 & -2.04352 \tabularnewline
262 & 12.35 & 12.7376 & -0.387583 \tabularnewline
263 & 9.95 & 13.0899 & -3.13987 \tabularnewline
264 & 14.9 & 13.0899 & 1.81013 \tabularnewline
265 & 16.65 & 13.0899 & 3.56013 \tabularnewline
266 & 13.4 & 12.9943 & 0.405749 \tabularnewline
267 & 13.95 & 12.8972 & 1.05282 \tabularnewline
268 & 15.7 & 13.0899 & 2.61013 \tabularnewline
269 & 16.85 & 13.1222 & 3.72778 \tabularnewline
270 & 10.95 & 13.2825 & -2.33255 \tabularnewline
271 & 15.35 & 13.0913 & 2.25868 \tabularnewline
272 & 12.2 & 13.637 & -1.43701 \tabularnewline
273 & 15.1 & 13.0582 & 2.04176 \tabularnewline
274 & 17.75 & 13.0899 & 4.66013 \tabularnewline
275 & 15.2 & 13.1546 & 2.04542 \tabularnewline
276 & 14.6 & 13.0899 & 1.51013 \tabularnewline
277 & 16.65 & 12.8016 & 3.84843 \tabularnewline
278 & 8.1 & 12.6103 & -4.51034 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268938&T=4

[TABLE]
[ROW][C]Multiple Linear Regression - Actuals, Interpolation, and Residuals[/C][/ROW]
[ROW][C]Time or Index[/C][C]Actuals[/C][C]InterpolationForecast[/C][C]ResidualsPrediction Error[/C][/ROW]
[ROW][C]1[/C][C]12.9[/C][C]12.8008[/C][C]0.0991579[/C][/ROW]
[ROW][C]2[/C][C]12.2[/C][C]12.4486[/C][C]-0.24856[/C][/ROW]
[ROW][C]3[/C][C]12.8[/C][C]12.9295[/C][C]-0.129539[/C][/ROW]
[ROW][C]4[/C][C]7.4[/C][C]13.0575[/C][C]-5.65751[/C][/ROW]
[ROW][C]5[/C][C]6.7[/C][C]12.9295[/C][C]-6.22954[/C][/ROW]
[ROW][C]6[/C][C]12.6[/C][C]12.8656[/C][C]-0.265554[/C][/ROW]
[ROW][C]7[/C][C]14.8[/C][C]13.1553[/C][C]1.6447[/C][/ROW]
[ROW][C]8[/C][C]13.3[/C][C]12.8656[/C][C]0.434446[/C][/ROW]
[ROW][C]9[/C][C]11.1[/C][C]13.3782[/C][C]-2.27816[/C][/ROW]
[ROW][C]10[/C][C]8.2[/C][C]13.1862[/C][C]-4.98621[/C][/ROW]
[ROW][C]11[/C][C]11.4[/C][C]12.9935[/C][C]-1.59352[/C][/ROW]
[ROW][C]12[/C][C]6.4[/C][C]13.1546[/C][C]-6.75458[/C][/ROW]
[ROW][C]13[/C][C]10.6[/C][C]12.7692[/C][C]-2.16921[/C][/ROW]
[ROW][C]14[/C][C]12[/C][C]13.1215[/C][C]-1.12149[/C][/ROW]
[ROW][C]15[/C][C]6.3[/C][C]12.8023[/C][C]-6.5023[/C][/ROW]
[ROW][C]16[/C][C]11.3[/C][C]13.0899[/C][C]-1.78987[/C][/ROW]
[ROW][C]17[/C][C]11.9[/C][C]13.0252[/C][C]-1.12515[/C][/ROW]
[ROW][C]18[/C][C]9.3[/C][C]13.0259[/C][C]-3.72588[/C][/ROW]
[ROW][C]19[/C][C]9.6[/C][C]12.9303[/C][C]-3.33027[/C][/ROW]
[ROW][C]20[/C][C]10[/C][C]12.8972[/C][C]-2.89718[/C][/ROW]
[ROW][C]21[/C][C]6.4[/C][C]13.2818[/C][C]-6.88182[/C][/ROW]
[ROW][C]22[/C][C]13.8[/C][C]13.0575[/C][C]0.74249[/C][/ROW]
[ROW][C]23[/C][C]10.8[/C][C]13.2186[/C][C]-2.41856[/C][/ROW]
[ROW][C]24[/C][C]13.8[/C][C]12.5118[/C][C]1.28818[/C][/ROW]
[ROW][C]25[/C][C]11.7[/C][C]13.1553[/C][C]-1.4553[/C][/ROW]
[ROW][C]26[/C][C]10.9[/C][C]12.9295[/C][C]-2.02954[/C][/ROW]
[ROW][C]27[/C][C]16.1[/C][C]13.059[/C][C]3.04104[/C][/ROW]
[ROW][C]28[/C][C]13.4[/C][C]13.0899[/C][C]0.310134[/C][/ROW]
[ROW][C]29[/C][C]9.9[/C][C]12.9935[/C][C]-3.09352[/C][/ROW]
[ROW][C]30[/C][C]11.5[/C][C]13.1539[/C][C]-1.65385[/C][/ROW]
[ROW][C]31[/C][C]8.3[/C][C]12.9943[/C][C]-4.69425[/C][/ROW]
[ROW][C]32[/C][C]11.7[/C][C]13.1222[/C][C]-1.42222[/C][/ROW]
[ROW][C]33[/C][C]9[/C][C]12.9935[/C][C]-3.99352[/C][/ROW]
[ROW][C]34[/C][C]9.7[/C][C]12.9928[/C][C]-3.2928[/C][/ROW]
[ROW][C]35[/C][C]10.8[/C][C]13.0899[/C][C]-2.28987[/C][/ROW]
[ROW][C]36[/C][C]10.3[/C][C]12.706[/C][C]-2.40595[/C][/ROW]
[ROW][C]37[/C][C]10.4[/C][C]12.5456[/C][C]-2.14563[/C][/ROW]
[ROW][C]38[/C][C]12.7[/C][C]13.1539[/C][C]-0.453851[/C][/ROW]
[ROW][C]39[/C][C]9.3[/C][C]12.9295[/C][C]-3.62954[/C][/ROW]
[ROW][C]40[/C][C]11.8[/C][C]12.706[/C][C]-0.905954[/C][/ROW]
[ROW][C]41[/C][C]5.9[/C][C]12.8972[/C][C]-6.99718[/C][/ROW]
[ROW][C]42[/C][C]11.4[/C][C]12.7692[/C][C]-1.36921[/C][/ROW]
[ROW][C]43[/C][C]13[/C][C]13.284[/C][C]-0.284001[/C][/ROW]
[ROW][C]44[/C][C]10.8[/C][C]13.0899[/C][C]-2.28987[/C][/ROW]
[ROW][C]45[/C][C]12.3[/C][C]13.1222[/C][C]-0.822221[/C][/ROW]
[ROW][C]46[/C][C]11.3[/C][C]12.5133[/C][C]-1.21327[/C][/ROW]
[ROW][C]47[/C][C]11.8[/C][C]13.0899[/C][C]-1.28987[/C][/ROW]
[ROW][C]48[/C][C]7.9[/C][C]12.9935[/C][C]-5.09352[/C][/ROW]
[ROW][C]49[/C][C]12.7[/C][C]12.4486[/C][C]0.25144[/C][/ROW]
[ROW][C]50[/C][C]12.3[/C][C]12.8656[/C][C]-0.565554[/C][/ROW]
[ROW][C]51[/C][C]11.6[/C][C]12.9295[/C][C]-1.32954[/C][/ROW]
[ROW][C]52[/C][C]6.7[/C][C]12.9626[/C][C]-6.26262[/C][/ROW]
[ROW][C]53[/C][C]10.9[/C][C]13.0899[/C][C]-2.18987[/C][/ROW]
[ROW][C]54[/C][C]12.1[/C][C]13.3465[/C][C]-1.24653[/C][/ROW]
[ROW][C]55[/C][C]13.3[/C][C]13.3142[/C][C]-0.0141772[/C][/ROW]
[ROW][C]56[/C][C]10.1[/C][C]12.8972[/C][C]-2.79718[/C][/ROW]
[ROW][C]57[/C][C]5.7[/C][C]13.1877[/C][C]-7.48766[/C][/ROW]
[ROW][C]58[/C][C]14.3[/C][C]12.7361[/C][C]1.56387[/C][/ROW]
[ROW][C]59[/C][C]8[/C][C]12.5765[/C][C]-4.57653[/C][/ROW]
[ROW][C]60[/C][C]13.3[/C][C]13.0899[/C][C]0.210134[/C][/ROW]
[ROW][C]61[/C][C]9.3[/C][C]13.0259[/C][C]-3.72588[/C][/ROW]
[ROW][C]62[/C][C]12.5[/C][C]12.6729[/C][C]-0.172872[/C][/ROW]
[ROW][C]63[/C][C]7.6[/C][C]12.5773[/C][C]-4.97726[/C][/ROW]
[ROW][C]64[/C][C]15.9[/C][C]13.0899[/C][C]2.81013[/C][/ROW]
[ROW][C]65[/C][C]9.2[/C][C]12.8663[/C][C]-3.66628[/C][/ROW]
[ROW][C]66[/C][C]9.1[/C][C]12.7045[/C][C]-3.6045[/C][/ROW]
[ROW][C]67[/C][C]11.1[/C][C]12.8972[/C][C]-1.79718[/C][/ROW]
[ROW][C]68[/C][C]13[/C][C]12.9619[/C][C]0.038105[/C][/ROW]
[ROW][C]69[/C][C]14.5[/C][C]12.8656[/C][C]1.63445[/C][/ROW]
[ROW][C]70[/C][C]12.2[/C][C]12.9935[/C][C]-0.793524[/C][/ROW]
[ROW][C]71[/C][C]12.3[/C][C]13.1862[/C][C]-0.886207[/C][/ROW]
[ROW][C]72[/C][C]11.4[/C][C]12.8972[/C][C]-1.49718[/C][/ROW]
[ROW][C]73[/C][C]8.8[/C][C]12.7376[/C][C]-3.93758[/C][/ROW]
[ROW][C]74[/C][C]14.6[/C][C]12.4802[/C][C]2.11981[/C][/ROW]
[ROW][C]75[/C][C]12.6[/C][C]12.4493[/C][C]0.150714[/C][/ROW]
[ROW][C]76[/C][C]13[/C][C]13.0582[/C][C]-0.0582362[/C][/ROW]
[ROW][C]77[/C][C]12.6[/C][C]12.7045[/C][C]-0.104501[/C][/ROW]
[ROW][C]78[/C][C]13.2[/C][C]13.0259[/C][C]0.17412[/C][/ROW]
[ROW][C]79[/C][C]9.9[/C][C]12.9943[/C][C]-3.09425[/C][/ROW]
[ROW][C]80[/C][C]7.7[/C][C]13.0899[/C][C]-5.38987[/C][/ROW]
[ROW][C]81[/C][C]10.5[/C][C]12.9295[/C][C]-2.42954[/C][/ROW]
[ROW][C]82[/C][C]13.4[/C][C]12.8656[/C][C]0.534446[/C][/ROW]
[ROW][C]83[/C][C]10.9[/C][C]13.0899[/C][C]-2.18987[/C][/ROW]
[ROW][C]84[/C][C]4.3[/C][C]12.8656[/C][C]-8.56555[/C][/ROW]
[ROW][C]85[/C][C]10.3[/C][C]13.1869[/C][C]-2.88693[/C][/ROW]
[ROW][C]86[/C][C]11.8[/C][C]13.1222[/C][C]-1.32222[/C][/ROW]
[ROW][C]87[/C][C]11.2[/C][C]13.0899[/C][C]-1.88987[/C][/ROW]
[ROW][C]88[/C][C]11.4[/C][C]12.6736[/C][C]-1.2736[/C][/ROW]
[ROW][C]89[/C][C]8.6[/C][C]12.7369[/C][C]-4.13686[/C][/ROW]
[ROW][C]90[/C][C]13.2[/C][C]12.7045[/C][C]0.495499[/C][/ROW]
[ROW][C]91[/C][C]12.6[/C][C]12.8986[/C][C]-0.298636[/C][/ROW]
[ROW][C]92[/C][C]5.6[/C][C]12.8016[/C][C]-7.20157[/C][/ROW]
[ROW][C]93[/C][C]9.9[/C][C]13.2818[/C][C]-3.38182[/C][/ROW]
[ROW][C]94[/C][C]8.8[/C][C]12.9619[/C][C]-4.1619[/C][/ROW]
[ROW][C]95[/C][C]7.7[/C][C]12.8332[/C][C]-5.1332[/C][/ROW]
[ROW][C]96[/C][C]9[/C][C]13.0899[/C][C]-4.08987[/C][/ROW]
[ROW][C]97[/C][C]7.3[/C][C]12.9935[/C][C]-5.69352[/C][/ROW]
[ROW][C]98[/C][C]11.4[/C][C]12.7045[/C][C]-1.3045[/C][/ROW]
[ROW][C]99[/C][C]13.6[/C][C]12.3515[/C][C]1.24851[/C][/ROW]
[ROW][C]100[/C][C]7.9[/C][C]12.6089[/C][C]-4.70889[/C][/ROW]
[ROW][C]101[/C][C]10.7[/C][C]13.1222[/C][C]-2.42222[/C][/ROW]
[ROW][C]102[/C][C]10.3[/C][C]13.0899[/C][C]-2.78987[/C][/ROW]
[ROW][C]103[/C][C]8.3[/C][C]12.5118[/C][C]-4.21182[/C][/ROW]
[ROW][C]104[/C][C]9.6[/C][C]13.2178[/C][C]-3.61784[/C][/ROW]
[ROW][C]105[/C][C]14.2[/C][C]12.8339[/C][C]1.36608[/C][/ROW]
[ROW][C]106[/C][C]8.5[/C][C]13.1546[/C][C]-4.65458[/C][/ROW]
[ROW][C]107[/C][C]13.5[/C][C]12.6089[/C][C]0.891114[/C][/ROW]
[ROW][C]108[/C][C]4.9[/C][C]12.9619[/C][C]-8.0619[/C][/ROW]
[ROW][C]109[/C][C]6.4[/C][C]12.8016[/C][C]-6.40157[/C][/ROW]
[ROW][C]110[/C][C]9.6[/C][C]12.6729[/C][C]-3.07287[/C][/ROW]
[ROW][C]111[/C][C]11.6[/C][C]12.9935[/C][C]-1.39352[/C][/ROW]
[ROW][C]112[/C][C]11.1[/C][C]12.2552[/C][C]-1.15515[/C][/ROW]
[ROW][C]113[/C][C]4.35[/C][C]13.1869[/C][C]-8.83693[/C][/ROW]
[ROW][C]114[/C][C]12.7[/C][C]13.1222[/C][C]-0.422221[/C][/ROW]
[ROW][C]115[/C][C]18.1[/C][C]13.0899[/C][C]5.01013[/C][/ROW]
[ROW][C]116[/C][C]17.85[/C][C]13.0899[/C][C]4.76013[/C][/ROW]
[ROW][C]117[/C][C]16.6[/C][C]12.8663[/C][C]3.73372[/C][/ROW]
[ROW][C]118[/C][C]12.6[/C][C]12.9935[/C][C]-0.393524[/C][/ROW]
[ROW][C]119[/C][C]17.1[/C][C]12.8972[/C][C]4.20282[/C][/ROW]
[ROW][C]120[/C][C]19.1[/C][C]12.9935[/C][C]6.10648[/C][/ROW]
[ROW][C]121[/C][C]16.1[/C][C]13.1546[/C][C]2.94542[/C][/ROW]
[ROW][C]122[/C][C]13.35[/C][C]12.7038[/C][C]0.646226[/C][/ROW]
[ROW][C]123[/C][C]18.4[/C][C]12.5765[/C][C]5.82347[/C][/ROW]
[ROW][C]124[/C][C]14.7[/C][C]13.0891[/C][C]1.61086[/C][/ROW]
[ROW][C]125[/C][C]10.6[/C][C]13.0582[/C][C]-2.45824[/C][/ROW]
[ROW][C]126[/C][C]12.6[/C][C]13.1855[/C][C]-0.58548[/C][/ROW]
[ROW][C]127[/C][C]16.2[/C][C]13.1869[/C][C]3.01307[/C][/ROW]
[ROW][C]128[/C][C]13.6[/C][C]13.3782[/C][C]0.221838[/C][/ROW]
[ROW][C]129[/C][C]18.9[/C][C]13.0899[/C][C]5.81013[/C][/ROW]
[ROW][C]130[/C][C]14.1[/C][C]13.1539[/C][C]0.946149[/C][/ROW]
[ROW][C]131[/C][C]14.5[/C][C]13.0899[/C][C]1.41013[/C][/ROW]
[ROW][C]132[/C][C]16.15[/C][C]12.9935[/C][C]3.15648[/C][/ROW]
[ROW][C]133[/C][C]14.75[/C][C]12.9303[/C][C]1.81973[/C][/ROW]
[ROW][C]134[/C][C]14.8[/C][C]13.1869[/C][C]1.61307[/C][/ROW]
[ROW][C]135[/C][C]12.45[/C][C]12.9928[/C][C]-0.542798[/C][/ROW]
[ROW][C]136[/C][C]12.65[/C][C]13.0899[/C][C]-0.439866[/C][/ROW]
[ROW][C]137[/C][C]17.35[/C][C]13.1862[/C][C]4.16379[/C][/ROW]
[ROW][C]138[/C][C]8.6[/C][C]13.3782[/C][C]-4.77816[/C][/ROW]
[ROW][C]139[/C][C]18.4[/C][C]12.9295[/C][C]5.47046[/C][/ROW]
[ROW][C]140[/C][C]16.1[/C][C]13.1862[/C][C]2.91379[/C][/ROW]
[ROW][C]141[/C][C]11.6[/C][C]12.3206[/C][C]-0.720589[/C][/ROW]
[ROW][C]142[/C][C]17.75[/C][C]13.0252[/C][C]4.72485[/C][/ROW]
[ROW][C]143[/C][C]15.25[/C][C]12.9935[/C][C]2.25648[/C][/ROW]
[ROW][C]144[/C][C]17.65[/C][C]13.0899[/C][C]4.56013[/C][/ROW]
[ROW][C]145[/C][C]16.35[/C][C]13.0899[/C][C]3.26013[/C][/ROW]
[ROW][C]146[/C][C]17.65[/C][C]12.9295[/C][C]4.72046[/C][/ROW]
[ROW][C]147[/C][C]13.6[/C][C]13.0899[/C][C]0.510134[/C][/ROW]
[ROW][C]148[/C][C]14.35[/C][C]13.0899[/C][C]1.26013[/C][/ROW]
[ROW][C]149[/C][C]14.75[/C][C]13.0899[/C][C]1.66013[/C][/ROW]
[ROW][C]150[/C][C]18.25[/C][C]12.8972[/C][C]5.35282[/C][/ROW]
[ROW][C]151[/C][C]9.9[/C][C]13.0266[/C][C]-3.12661[/C][/ROW]
[ROW][C]152[/C][C]16[/C][C]13.2193[/C][C]2.78071[/C][/ROW]
[ROW][C]153[/C][C]18.25[/C][C]13.0899[/C][C]5.16013[/C][/ROW]
[ROW][C]154[/C][C]16.85[/C][C]12.9935[/C][C]3.85648[/C][/ROW]
[ROW][C]155[/C][C]14.6[/C][C]13.1222[/C][C]1.47778[/C][/ROW]
[ROW][C]156[/C][C]13.85[/C][C]13.1546[/C][C]0.695423[/C][/ROW]
[ROW][C]157[/C][C]18.95[/C][C]13.3149[/C][C]5.6351[/C][/ROW]
[ROW][C]158[/C][C]15.6[/C][C]12.9935[/C][C]2.60648[/C][/ROW]
[ROW][C]159[/C][C]14.85[/C][C]13.0575[/C][C]1.79249[/C][/ROW]
[ROW][C]160[/C][C]11.75[/C][C]13.0899[/C][C]-1.33987[/C][/ROW]
[ROW][C]161[/C][C]18.45[/C][C]13.0899[/C][C]5.36013[/C][/ROW]
[ROW][C]162[/C][C]15.9[/C][C]13.2509[/C][C]2.64908[/C][/ROW]
[ROW][C]163[/C][C]17.1[/C][C]12.9619[/C][C]4.1381[/C][/ROW]
[ROW][C]164[/C][C]16.1[/C][C]13.3149[/C][C]2.7851[/C][/ROW]
[ROW][C]165[/C][C]19.9[/C][C]12.5449[/C][C]7.3551[/C][/ROW]
[ROW][C]166[/C][C]10.95[/C][C]12.9935[/C][C]-2.04352[/C][/ROW]
[ROW][C]167[/C][C]18.45[/C][C]12.9943[/C][C]5.45575[/C][/ROW]
[ROW][C]168[/C][C]15.1[/C][C]12.9935[/C][C]2.10648[/C][/ROW]
[ROW][C]169[/C][C]15[/C][C]12.8979[/C][C]2.10209[/C][/ROW]
[ROW][C]170[/C][C]11.35[/C][C]13.1222[/C][C]-1.77222[/C][/ROW]
[ROW][C]171[/C][C]15.95[/C][C]13.3782[/C][C]2.57184[/C][/ROW]
[ROW][C]172[/C][C]18.1[/C][C]13.0266[/C][C]5.07339[/C][/ROW]
[ROW][C]173[/C][C]14.6[/C][C]12.8339[/C][C]1.76608[/C][/ROW]
[ROW][C]174[/C][C]15.4[/C][C]13.0259[/C][C]2.37412[/C][/ROW]
[ROW][C]175[/C][C]15.4[/C][C]13.0259[/C][C]2.37412[/C][/ROW]
[ROW][C]176[/C][C]17.6[/C][C]13.0259[/C][C]4.57412[/C][/ROW]
[ROW][C]177[/C][C]13.35[/C][C]13.0575[/C][C]0.29249[/C][/ROW]
[ROW][C]178[/C][C]19.1[/C][C]12.7699[/C][C]6.33006[/C][/ROW]
[ROW][C]179[/C][C]15.35[/C][C]13.0899[/C][C]2.26013[/C][/ROW]
[ROW][C]180[/C][C]7.6[/C][C]12.3522[/C][C]-4.75222[/C][/ROW]
[ROW][C]181[/C][C]13.4[/C][C]12.7376[/C][C]0.662417[/C][/ROW]
[ROW][C]182[/C][C]13.9[/C][C]12.6743[/C][C]1.22568[/C][/ROW]
[ROW][C]183[/C][C]19.1[/C][C]13.0259[/C][C]6.07412[/C][/ROW]
[ROW][C]184[/C][C]15.25[/C][C]13.1546[/C][C]2.09542[/C][/ROW]
[ROW][C]185[/C][C]12.9[/C][C]13.059[/C][C]-0.158963[/C][/ROW]
[ROW][C]186[/C][C]16.1[/C][C]12.9935[/C][C]3.10648[/C][/ROW]
[ROW][C]187[/C][C]17.35[/C][C]12.8332[/C][C]4.5168[/C][/ROW]
[ROW][C]188[/C][C]13.15[/C][C]12.8979[/C][C]0.25209[/C][/ROW]
[ROW][C]189[/C][C]12.15[/C][C]12.7692[/C][C]-0.619213[/C][/ROW]
[ROW][C]190[/C][C]12.6[/C][C]13.2193[/C][C]-0.619289[/C][/ROW]
[ROW][C]191[/C][C]10.35[/C][C]13.0266[/C][C]-2.67661[/C][/ROW]
[ROW][C]192[/C][C]15.4[/C][C]13.1222[/C][C]2.27778[/C][/ROW]
[ROW][C]193[/C][C]9.6[/C][C]12.8972[/C][C]-3.29718[/C][/ROW]
[ROW][C]194[/C][C]18.2[/C][C]13.0582[/C][C]5.14176[/C][/ROW]
[ROW][C]195[/C][C]13.6[/C][C]12.5765[/C][C]1.02347[/C][/ROW]
[ROW][C]196[/C][C]14.85[/C][C]13.0899[/C][C]1.76013[/C][/ROW]
[ROW][C]197[/C][C]14.75[/C][C]13.0266[/C][C]1.72339[/C][/ROW]
[ROW][C]198[/C][C]14.1[/C][C]13.1222[/C][C]0.977779[/C][/ROW]
[ROW][C]199[/C][C]14.9[/C][C]12.8339[/C][C]2.06608[/C][/ROW]
[ROW][C]200[/C][C]16.25[/C][C]13.1546[/C][C]3.09542[/C][/ROW]
[ROW][C]201[/C][C]19.25[/C][C]13.0252[/C][C]6.22485[/C][/ROW]
[ROW][C]202[/C][C]13.6[/C][C]13.0906[/C][C]0.509408[/C][/ROW]
[ROW][C]203[/C][C]13.6[/C][C]12.9943[/C][C]0.605749[/C][/ROW]
[ROW][C]204[/C][C]15.65[/C][C]13.1546[/C][C]2.49542[/C][/ROW]
[ROW][C]205[/C][C]12.75[/C][C]12.5758[/C][C]0.174196[/C][/ROW]
[ROW][C]206[/C][C]14.6[/C][C]12.9935[/C][C]1.60648[/C][/ROW]
[ROW][C]207[/C][C]9.85[/C][C]13.2502[/C][C]-3.40019[/C][/ROW]
[ROW][C]208[/C][C]12.65[/C][C]12.9303[/C][C]-0.280266[/C][/ROW]
[ROW][C]209[/C][C]19.2[/C][C]12.514[/C][C]6.686[/C][/ROW]
[ROW][C]210[/C][C]16.6[/C][C]12.3522[/C][C]4.24778[/C][/ROW]
[ROW][C]211[/C][C]11.2[/C][C]13.1862[/C][C]-1.98621[/C][/ROW]
[ROW][C]212[/C][C]15.25[/C][C]13.3149[/C][C]1.9351[/C][/ROW]
[ROW][C]213[/C][C]11.9[/C][C]13.0906[/C][C]-1.19059[/C][/ROW]
[ROW][C]214[/C][C]13.2[/C][C]12.3191[/C][C]0.880864[/C][/ROW]
[ROW][C]215[/C][C]16.35[/C][C]12.8008[/C][C]3.54916[/C][/ROW]
[ROW][C]216[/C][C]12.4[/C][C]12.8008[/C][C]-0.400842[/C][/ROW]
[ROW][C]217[/C][C]15.85[/C][C]13.0582[/C][C]2.79176[/C][/ROW]
[ROW][C]218[/C][C]18.15[/C][C]13.2502[/C][C]4.89981[/C][/ROW]
[ROW][C]219[/C][C]11.15[/C][C]13.1869[/C][C]-2.03693[/C][/ROW]
[ROW][C]220[/C][C]15.65[/C][C]12.8972[/C][C]2.75282[/C][/ROW]
[ROW][C]221[/C][C]17.75[/C][C]13.0259[/C][C]4.72412[/C][/ROW]
[ROW][C]222[/C][C]7.65[/C][C]13.3142[/C][C]-5.66418[/C][/ROW]
[ROW][C]223[/C][C]12.35[/C][C]13.1222[/C][C]-0.772221[/C][/ROW]
[ROW][C]224[/C][C]15.6[/C][C]12.8016[/C][C]2.79843[/C][/ROW]
[ROW][C]225[/C][C]19.3[/C][C]13.0899[/C][C]6.21013[/C][/ROW]
[ROW][C]226[/C][C]15.2[/C][C]12.7376[/C][C]2.46242[/C][/ROW]
[ROW][C]227[/C][C]17.1[/C][C]12.9928[/C][C]4.1072[/C][/ROW]
[ROW][C]228[/C][C]15.6[/C][C]12.9935[/C][C]2.60648[/C][/ROW]
[ROW][C]229[/C][C]18.4[/C][C]13.3142[/C][C]5.08582[/C][/ROW]
[ROW][C]230[/C][C]19.05[/C][C]12.9935[/C][C]6.05648[/C][/ROW]
[ROW][C]231[/C][C]18.55[/C][C]12.9943[/C][C]5.55575[/C][/ROW]
[ROW][C]232[/C][C]19.1[/C][C]12.9943[/C][C]6.10575[/C][/ROW]
[ROW][C]233[/C][C]13.1[/C][C]13.1539[/C][C]-0.0538508[/C][/ROW]
[ROW][C]234[/C][C]12.85[/C][C]13.0575[/C][C]-0.20751[/C][/ROW]
[ROW][C]235[/C][C]9.5[/C][C]13.3782[/C][C]-3.87816[/C][/ROW]
[ROW][C]236[/C][C]4.5[/C][C]13.1222[/C][C]-8.62222[/C][/ROW]
[ROW][C]237[/C][C]11.85[/C][C]12.5773[/C][C]-0.727257[/C][/ROW]
[ROW][C]238[/C][C]13.6[/C][C]12.8656[/C][C]0.734446[/C][/ROW]
[ROW][C]239[/C][C]11.7[/C][C]13.0259[/C][C]-1.32588[/C][/ROW]
[ROW][C]240[/C][C]12.4[/C][C]13.3142[/C][C]-0.914177[/C][/ROW]
[ROW][C]241[/C][C]13.35[/C][C]13.0252[/C][C]0.324846[/C][/ROW]
[ROW][C]242[/C][C]11.4[/C][C]13.1539[/C][C]-1.75385[/C][/ROW]
[ROW][C]243[/C][C]14.9[/C][C]13.0899[/C][C]1.81013[/C][/ROW]
[ROW][C]244[/C][C]19.9[/C][C]12.5449[/C][C]7.3551[/C][/ROW]
[ROW][C]245[/C][C]11.2[/C][C]12.5758[/C][C]-1.3758[/C][/ROW]
[ROW][C]246[/C][C]14.6[/C][C]12.9943[/C][C]1.60575[/C][/ROW]
[ROW][C]247[/C][C]17.6[/C][C]13.3789[/C][C]4.22111[/C][/ROW]
[ROW][C]248[/C][C]14.05[/C][C]12.7685[/C][C]1.28151[/C][/ROW]
[ROW][C]249[/C][C]16.1[/C][C]12.9295[/C][C]3.17046[/C][/ROW]
[ROW][C]250[/C][C]13.35[/C][C]13.0259[/C][C]0.32412[/C][/ROW]
[ROW][C]251[/C][C]11.85[/C][C]12.9612[/C][C]-1.11117[/C][/ROW]
[ROW][C]252[/C][C]11.95[/C][C]12.8972[/C][C]-0.947183[/C][/ROW]
[ROW][C]253[/C][C]14.75[/C][C]13.0899[/C][C]1.66013[/C][/ROW]
[ROW][C]254[/C][C]15.15[/C][C]13.2509[/C][C]1.89908[/C][/ROW]
[ROW][C]255[/C][C]13.2[/C][C]12.8016[/C][C]0.398431[/C][/ROW]
[ROW][C]256[/C][C]16.85[/C][C]13.0582[/C][C]3.79176[/C][/ROW]
[ROW][C]257[/C][C]7.85[/C][C]13.1539[/C][C]-5.30385[/C][/ROW]
[ROW][C]258[/C][C]7.7[/C][C]12.9612[/C][C]-5.26117[/C][/ROW]
[ROW][C]259[/C][C]12.6[/C][C]12.6089[/C][C]-0.00888631[/C][/ROW]
[ROW][C]260[/C][C]7.85[/C][C]13.1222[/C][C]-5.27222[/C][/ROW]
[ROW][C]261[/C][C]10.95[/C][C]12.9935[/C][C]-2.04352[/C][/ROW]
[ROW][C]262[/C][C]12.35[/C][C]12.7376[/C][C]-0.387583[/C][/ROW]
[ROW][C]263[/C][C]9.95[/C][C]13.0899[/C][C]-3.13987[/C][/ROW]
[ROW][C]264[/C][C]14.9[/C][C]13.0899[/C][C]1.81013[/C][/ROW]
[ROW][C]265[/C][C]16.65[/C][C]13.0899[/C][C]3.56013[/C][/ROW]
[ROW][C]266[/C][C]13.4[/C][C]12.9943[/C][C]0.405749[/C][/ROW]
[ROW][C]267[/C][C]13.95[/C][C]12.8972[/C][C]1.05282[/C][/ROW]
[ROW][C]268[/C][C]15.7[/C][C]13.0899[/C][C]2.61013[/C][/ROW]
[ROW][C]269[/C][C]16.85[/C][C]13.1222[/C][C]3.72778[/C][/ROW]
[ROW][C]270[/C][C]10.95[/C][C]13.2825[/C][C]-2.33255[/C][/ROW]
[ROW][C]271[/C][C]15.35[/C][C]13.0913[/C][C]2.25868[/C][/ROW]
[ROW][C]272[/C][C]12.2[/C][C]13.637[/C][C]-1.43701[/C][/ROW]
[ROW][C]273[/C][C]15.1[/C][C]13.0582[/C][C]2.04176[/C][/ROW]
[ROW][C]274[/C][C]17.75[/C][C]13.0899[/C][C]4.66013[/C][/ROW]
[ROW][C]275[/C][C]15.2[/C][C]13.1546[/C][C]2.04542[/C][/ROW]
[ROW][C]276[/C][C]14.6[/C][C]13.0899[/C][C]1.51013[/C][/ROW]
[ROW][C]277[/C][C]16.65[/C][C]12.8016[/C][C]3.84843[/C][/ROW]
[ROW][C]278[/C][C]8.1[/C][C]12.6103[/C][C]-4.51034[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268938&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268938&T=4

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


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

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
112.912.80080.0991579
212.212.4486-0.24856
312.812.9295-0.129539
47.413.0575-5.65751
56.712.9295-6.22954
612.612.8656-0.265554
714.813.15531.6447
813.312.86560.434446
911.113.3782-2.27816
108.213.1862-4.98621
1111.412.9935-1.59352
126.413.1546-6.75458
1310.612.7692-2.16921
141213.1215-1.12149
156.312.8023-6.5023
1611.313.0899-1.78987
1711.913.0252-1.12515
189.313.0259-3.72588
199.612.9303-3.33027
201012.8972-2.89718
216.413.2818-6.88182
2213.813.05750.74249
2310.813.2186-2.41856
2413.812.51181.28818
2511.713.1553-1.4553
2610.912.9295-2.02954
2716.113.0593.04104
2813.413.08990.310134
299.912.9935-3.09352
3011.513.1539-1.65385
318.312.9943-4.69425
3211.713.1222-1.42222
33912.9935-3.99352
349.712.9928-3.2928
3510.813.0899-2.28987
3610.312.706-2.40595
3710.412.5456-2.14563
3812.713.1539-0.453851
399.312.9295-3.62954
4011.812.706-0.905954
415.912.8972-6.99718
4211.412.7692-1.36921
431313.284-0.284001
4410.813.0899-2.28987
4512.313.1222-0.822221
4611.312.5133-1.21327
4711.813.0899-1.28987
487.912.9935-5.09352
4912.712.44860.25144
5012.312.8656-0.565554
5111.612.9295-1.32954
526.712.9626-6.26262
5310.913.0899-2.18987
5412.113.3465-1.24653
5513.313.3142-0.0141772
5610.112.8972-2.79718
575.713.1877-7.48766
5814.312.73611.56387
59812.5765-4.57653
6013.313.08990.210134
619.313.0259-3.72588
6212.512.6729-0.172872
637.612.5773-4.97726
6415.913.08992.81013
659.212.8663-3.66628
669.112.7045-3.6045
6711.112.8972-1.79718
681312.96190.038105
6914.512.86561.63445
7012.212.9935-0.793524
7112.313.1862-0.886207
7211.412.8972-1.49718
738.812.7376-3.93758
7414.612.48022.11981
7512.612.44930.150714
761313.0582-0.0582362
7712.612.7045-0.104501
7813.213.02590.17412
799.912.9943-3.09425
807.713.0899-5.38987
8110.512.9295-2.42954
8213.412.86560.534446
8310.913.0899-2.18987
844.312.8656-8.56555
8510.313.1869-2.88693
8611.813.1222-1.32222
8711.213.0899-1.88987
8811.412.6736-1.2736
898.612.7369-4.13686
9013.212.70450.495499
9112.612.8986-0.298636
925.612.8016-7.20157
939.913.2818-3.38182
948.812.9619-4.1619
957.712.8332-5.1332
96913.0899-4.08987
977.312.9935-5.69352
9811.412.7045-1.3045
9913.612.35151.24851
1007.912.6089-4.70889
10110.713.1222-2.42222
10210.313.0899-2.78987
1038.312.5118-4.21182
1049.613.2178-3.61784
10514.212.83391.36608
1068.513.1546-4.65458
10713.512.60890.891114
1084.912.9619-8.0619
1096.412.8016-6.40157
1109.612.6729-3.07287
11111.612.9935-1.39352
11211.112.2552-1.15515
1134.3513.1869-8.83693
11412.713.1222-0.422221
11518.113.08995.01013
11617.8513.08994.76013
11716.612.86633.73372
11812.612.9935-0.393524
11917.112.89724.20282
12019.112.99356.10648
12116.113.15462.94542
12213.3512.70380.646226
12318.412.57655.82347
12414.713.08911.61086
12510.613.0582-2.45824
12612.613.1855-0.58548
12716.213.18693.01307
12813.613.37820.221838
12918.913.08995.81013
13014.113.15390.946149
13114.513.08991.41013
13216.1512.99353.15648
13314.7512.93031.81973
13414.813.18691.61307
13512.4512.9928-0.542798
13612.6513.0899-0.439866
13717.3513.18624.16379
1388.613.3782-4.77816
13918.412.92955.47046
14016.113.18622.91379
14111.612.3206-0.720589
14217.7513.02524.72485
14315.2512.99352.25648
14417.6513.08994.56013
14516.3513.08993.26013
14617.6512.92954.72046
14713.613.08990.510134
14814.3513.08991.26013
14914.7513.08991.66013
15018.2512.89725.35282
1519.913.0266-3.12661
1521613.21932.78071
15318.2513.08995.16013
15416.8512.99353.85648
15514.613.12221.47778
15613.8513.15460.695423
15718.9513.31495.6351
15815.612.99352.60648
15914.8513.05751.79249
16011.7513.0899-1.33987
16118.4513.08995.36013
16215.913.25092.64908
16317.112.96194.1381
16416.113.31492.7851
16519.912.54497.3551
16610.9512.9935-2.04352
16718.4512.99435.45575
16815.112.99352.10648
1691512.89792.10209
17011.3513.1222-1.77222
17115.9513.37822.57184
17218.113.02665.07339
17314.612.83391.76608
17415.413.02592.37412
17515.413.02592.37412
17617.613.02594.57412
17713.3513.05750.29249
17819.112.76996.33006
17915.3513.08992.26013
1807.612.3522-4.75222
18113.412.73760.662417
18213.912.67431.22568
18319.113.02596.07412
18415.2513.15462.09542
18512.913.059-0.158963
18616.112.99353.10648
18717.3512.83324.5168
18813.1512.89790.25209
18912.1512.7692-0.619213
19012.613.2193-0.619289
19110.3513.0266-2.67661
19215.413.12222.27778
1939.612.8972-3.29718
19418.213.05825.14176
19513.612.57651.02347
19614.8513.08991.76013
19714.7513.02661.72339
19814.113.12220.977779
19914.912.83392.06608
20016.2513.15463.09542
20119.2513.02526.22485
20213.613.09060.509408
20313.612.99430.605749
20415.6513.15462.49542
20512.7512.57580.174196
20614.612.99351.60648
2079.8513.2502-3.40019
20812.6512.9303-0.280266
20919.212.5146.686
21016.612.35224.24778
21111.213.1862-1.98621
21215.2513.31491.9351
21311.913.0906-1.19059
21413.212.31910.880864
21516.3512.80083.54916
21612.412.8008-0.400842
21715.8513.05822.79176
21818.1513.25024.89981
21911.1513.1869-2.03693
22015.6512.89722.75282
22117.7513.02594.72412
2227.6513.3142-5.66418
22312.3513.1222-0.772221
22415.612.80162.79843
22519.313.08996.21013
22615.212.73762.46242
22717.112.99284.1072
22815.612.99352.60648
22918.413.31425.08582
23019.0512.99356.05648
23118.5512.99435.55575
23219.112.99436.10575
23313.113.1539-0.0538508
23412.8513.0575-0.20751
2359.513.3782-3.87816
2364.513.1222-8.62222
23711.8512.5773-0.727257
23813.612.86560.734446
23911.713.0259-1.32588
24012.413.3142-0.914177
24113.3513.02520.324846
24211.413.1539-1.75385
24314.913.08991.81013
24419.912.54497.3551
24511.212.5758-1.3758
24614.612.99431.60575
24717.613.37894.22111
24814.0512.76851.28151
24916.112.92953.17046
25013.3513.02590.32412
25111.8512.9612-1.11117
25211.9512.8972-0.947183
25314.7513.08991.66013
25415.1513.25091.89908
25513.212.80160.398431
25616.8513.05823.79176
2577.8513.1539-5.30385
2587.712.9612-5.26117
25912.612.6089-0.00888631
2607.8513.1222-5.27222
26110.9512.9935-2.04352
26212.3512.7376-0.387583
2639.9513.0899-3.13987
26414.913.08991.81013
26516.6513.08993.56013
26613.412.99430.405749
26713.9512.89721.05282
26815.713.08992.61013
26916.8513.12223.72778
27010.9513.2825-2.33255
27115.3513.09132.25868
27212.213.637-1.43701
27315.113.05822.04176
27417.7513.08994.66013
27515.213.15462.04542
27614.613.08991.51013
27716.6512.80163.84843
2788.112.6103-4.51034






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
60.5633740.8732520.436626
70.4441840.8883680.555816
80.3345470.6690940.665453
90.2826460.5652930.717354
100.2627950.5255890.737205
110.1827170.3654350.817283
120.3261460.6522910.673854
130.2480590.4961180.751941
140.2178220.4356450.782178
150.3405290.6810580.659471
160.2704070.5408140.729593
170.210230.420460.78977
180.1663010.3326010.833699
190.1243460.2486910.875654
200.09296810.1859360.907032
210.1155070.2310150.884493
220.1237630.2475260.876237
230.09534590.1906920.904654
240.07367570.1473510.926324
250.06282490.125650.937175
260.04483410.08966820.955166
270.09166040.1833210.90834
280.08607170.1721430.913928
290.06722550.1344510.932774
300.05139320.1027860.948607
310.05090280.1018060.949097
320.03865110.07730220.961349
330.03276820.06553630.967232
340.02488950.04977910.97511
350.01790950.03581890.982091
360.01365390.02730790.986346
370.01023280.02046550.989767
380.008554110.01710820.991446
390.006844870.01368970.993155
400.004699270.009398540.995301
410.0107480.02149610.989252
420.007641860.01528370.992358
430.006115960.01223190.993884
440.004313310.008626610.995687
450.003264740.006529480.996735
460.002209140.004418290.997791
470.001577560.003155130.998422
480.001716910.003433810.998283
490.001280960.002561920.998719
500.0009281090.001856220.999072
510.0006345660.001269130.999365
520.001374310.002748630.998626
530.0009555120.001911020.999044
540.0007321230.001464250.999268
550.0006931750.001386350.999307
560.000495050.0009900990.999505
570.001493280.002986570.998507
580.001507170.003014340.998493
590.001803590.003607180.998196
600.001612830.003225660.998387
610.001349360.002698730.998651
620.001016470.002032940.998984
630.001272920.002545850.998727
640.002392650.00478530.997607
650.002013860.004027730.997986
660.001811920.003623850.998188
670.001320590.002641180.998679
680.001123060.002246120.998877
690.001306540.002613070.998693
700.0009776730.001955350.999022
710.0007403720.001480740.99926
720.0005296560.001059310.99947
730.0004895670.0009791340.99951
740.0005488140.001097630.999451
750.0004350030.0008700070.999565
760.0003624050.0007248110.999638
770.0002636250.0005272510.999736
780.0002185030.0004370060.999781
790.0001722970.0003445950.999828
800.0002417240.0004834480.999758
810.000180810.0003616190.999819
820.0001542960.0003085920.999846
830.0001120530.0002241060.999888
840.0008238910.001647780.999176
850.0006605680.001321140.999339
860.0005034660.001006930.999497
870.0003771390.0007542780.999623
880.0002803180.0005606350.99972
890.0003081350.000616270.999692
900.0002450180.0004900370.999755
910.0002041360.0004082730.999796
920.0006921990.00138440.999308
930.0005959340.001191870.999404
940.0006215140.001243030.999378
950.000887630.001775260.999112
960.0009020030.001804010.999098
970.001460090.002920170.99854
980.00113610.00227220.998864
990.0009584640.001916930.999042
1000.001327560.002655110.998672
1010.001100880.002201760.998899
1020.0009416740.001883350.999058
1030.0012290.0024580.998771
1040.001171640.002343280.998828
1050.001244170.002488350.998756
1060.001473010.002946010.998527
1070.001321030.002642070.998679
1080.005760210.01152040.99424
1090.01242990.02485980.98757
1100.01265030.02530060.98735
1110.0109630.02192610.989037
1120.009774810.01954960.990225
1130.03980460.07960920.960195
1140.03686120.07372250.963139
1150.079620.159240.92038
1160.1371360.2742720.862864
1170.1805910.3611810.819409
1180.1666430.3332860.833357
1190.2154010.4308020.784599
1200.3507080.7014160.649292
1210.3853290.7706580.614671
1220.3596920.7193840.640308
1230.4615930.9231870.538407
1240.4492570.8985140.550743
1250.4420120.8840230.557988
1260.4151030.8302060.584897
1270.4512180.9024360.548782
1280.4277380.8554770.572262
1290.5474470.9051060.452553
1300.5268990.9462030.473101
1310.5116780.9766440.488322
1320.5256550.9486890.474345
1330.520460.959080.47954
1340.5135840.9728330.486416
1350.4851240.9702470.514876
1360.4588720.9177430.541128
1370.5028080.9943850.497192
1380.5505070.8989850.449493
1390.629660.7406810.37034
1400.6352570.7294860.364743
1410.6192920.7614160.380708
1420.6618930.6762150.338107
1430.6507490.6985020.349251
1440.6905010.6189980.309499
1450.6965110.6069780.303489
1460.7331740.5336520.266826
1470.7088620.5822750.291138
1480.6868970.6262050.313103
1490.6673380.6653240.332662
1500.7178550.5642890.282145
1510.7291590.5416820.270841
1520.7310980.5378050.268902
1530.7738880.4522240.226112
1540.7832370.4335270.216763
1550.7647280.4705450.235272
1560.7426180.5147630.257382
1570.7982510.4034980.201749
1580.7879670.4240650.212033
1590.7690610.4618780.230939
1600.7514880.4970230.248512
1610.792890.4142190.20711
1620.7847140.4305720.215286
1630.7964230.4071540.203577
1640.7889610.4220780.211039
1650.8656830.2686330.134317
1660.8590930.2818140.140907
1670.8866060.2267890.113394
1680.8745780.2508450.125422
1690.8622190.2755620.137781
1700.852740.2945210.14726
1710.8432280.3135440.156772
1720.8653460.2693070.134654
1730.8502150.299570.149785
1740.8372710.3254570.162729
1750.8235110.3529780.176489
1760.8377440.3245120.162256
1770.8153230.3693540.184677
1780.860930.2781390.13907
1790.8472960.3054080.152704
1800.8942190.2115620.105781
1810.8791560.2416880.120844
1820.8640190.2719620.135981
1830.8991480.2017040.100852
1840.8871750.225650.112825
1850.8710060.2579870.128994
1860.8642530.2714940.135747
1870.8720430.2559150.127957
1880.8535380.2929240.146462
1890.8379120.3241770.162088
1900.8178010.3643970.182199
1910.8230320.3539360.176968
1920.8059910.3880170.194009
1930.8191650.361670.180835
1940.841490.3170210.15851
1950.820650.35870.17935
1960.7992540.4014920.200746
1970.7750480.4499050.224952
1980.7464270.5071460.253573
1990.7203380.5593250.279662
2000.7083220.5833560.291678
2010.7773280.4453450.222672
2020.7481090.5037820.251891
2030.7173740.5652520.282626
2040.6962280.6075450.303772
2050.665660.668680.33434
2060.63330.7334010.3667
2070.6370.7260010.363
2080.6072180.7855640.392782
2090.6546640.6906730.345336
2100.6458370.7083260.354163
2110.6273780.7452450.372622
2120.5975940.8048110.402406
2130.5700490.8599030.429951
2140.5335640.9328720.466436
2150.5197020.9605960.480298
2160.4850380.9700770.514962
2170.461020.922040.53898
2180.4993180.9986370.500682
2190.480740.9614790.51926
2200.454580.9091590.54542
2210.4759050.951810.524095
2220.5579880.8840240.442012
2230.5219140.9561720.478086
2240.4926410.9852830.507359
2250.5735670.8528660.426433
2260.5392540.9214920.460746
2270.5524290.8951420.447571
2280.5265270.9469470.473473
2290.5886390.8227210.411361
2300.6776360.6447270.322364
2310.7270410.5459170.272959
2320.7977790.4044430.202221
2330.7619020.4761950.238098
2340.7224220.5551560.277578
2350.7249550.550090.275045
2360.9212390.1575230.0787613
2370.9061690.1876610.0938306
2380.8825590.2348820.117441
2390.8635820.2728360.136418
2400.8358310.3283370.164169
2410.8005180.3989630.199482
2420.7778490.4443020.222151
2430.7425290.5149430.257471
2440.8808070.2383860.119193
2450.8547130.2905740.145287
2460.8250.350.175
2470.8333390.3333210.166661
2480.7980160.4039680.201984
2490.7920170.4159660.207983
2500.7453740.5092510.254626
2510.7008260.5983480.299174
2520.6507560.6984880.349244
2530.5999940.8000120.400006
2540.5512610.8974770.448739
2550.4858950.971790.514105
2560.4980540.9961070.501946
2570.6233880.7532240.376612
2580.7902920.4194150.209708
2590.732410.535180.26759
2600.8864480.2271050.113552
2610.9094040.1811930.0905963
2620.8726460.2547080.127354
2630.9548940.0902130.0451065
2640.9288360.1423270.0711636
2650.8948460.2103080.105154
2660.8412120.3175760.158788
2670.7996060.4007880.200394
2680.7098660.5802680.290134
2690.6295940.7408130.370406
2700.8404390.3191220.159561
2710.9023090.1953820.0976911
2720.821920.3561590.17808

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
6 & 0.563374 & 0.873252 & 0.436626 \tabularnewline
7 & 0.444184 & 0.888368 & 0.555816 \tabularnewline
8 & 0.334547 & 0.669094 & 0.665453 \tabularnewline
9 & 0.282646 & 0.565293 & 0.717354 \tabularnewline
10 & 0.262795 & 0.525589 & 0.737205 \tabularnewline
11 & 0.182717 & 0.365435 & 0.817283 \tabularnewline
12 & 0.326146 & 0.652291 & 0.673854 \tabularnewline
13 & 0.248059 & 0.496118 & 0.751941 \tabularnewline
14 & 0.217822 & 0.435645 & 0.782178 \tabularnewline
15 & 0.340529 & 0.681058 & 0.659471 \tabularnewline
16 & 0.270407 & 0.540814 & 0.729593 \tabularnewline
17 & 0.21023 & 0.42046 & 0.78977 \tabularnewline
18 & 0.166301 & 0.332601 & 0.833699 \tabularnewline
19 & 0.124346 & 0.248691 & 0.875654 \tabularnewline
20 & 0.0929681 & 0.185936 & 0.907032 \tabularnewline
21 & 0.115507 & 0.231015 & 0.884493 \tabularnewline
22 & 0.123763 & 0.247526 & 0.876237 \tabularnewline
23 & 0.0953459 & 0.190692 & 0.904654 \tabularnewline
24 & 0.0736757 & 0.147351 & 0.926324 \tabularnewline
25 & 0.0628249 & 0.12565 & 0.937175 \tabularnewline
26 & 0.0448341 & 0.0896682 & 0.955166 \tabularnewline
27 & 0.0916604 & 0.183321 & 0.90834 \tabularnewline
28 & 0.0860717 & 0.172143 & 0.913928 \tabularnewline
29 & 0.0672255 & 0.134451 & 0.932774 \tabularnewline
30 & 0.0513932 & 0.102786 & 0.948607 \tabularnewline
31 & 0.0509028 & 0.101806 & 0.949097 \tabularnewline
32 & 0.0386511 & 0.0773022 & 0.961349 \tabularnewline
33 & 0.0327682 & 0.0655363 & 0.967232 \tabularnewline
34 & 0.0248895 & 0.0497791 & 0.97511 \tabularnewline
35 & 0.0179095 & 0.0358189 & 0.982091 \tabularnewline
36 & 0.0136539 & 0.0273079 & 0.986346 \tabularnewline
37 & 0.0102328 & 0.0204655 & 0.989767 \tabularnewline
38 & 0.00855411 & 0.0171082 & 0.991446 \tabularnewline
39 & 0.00684487 & 0.0136897 & 0.993155 \tabularnewline
40 & 0.00469927 & 0.00939854 & 0.995301 \tabularnewline
41 & 0.010748 & 0.0214961 & 0.989252 \tabularnewline
42 & 0.00764186 & 0.0152837 & 0.992358 \tabularnewline
43 & 0.00611596 & 0.0122319 & 0.993884 \tabularnewline
44 & 0.00431331 & 0.00862661 & 0.995687 \tabularnewline
45 & 0.00326474 & 0.00652948 & 0.996735 \tabularnewline
46 & 0.00220914 & 0.00441829 & 0.997791 \tabularnewline
47 & 0.00157756 & 0.00315513 & 0.998422 \tabularnewline
48 & 0.00171691 & 0.00343381 & 0.998283 \tabularnewline
49 & 0.00128096 & 0.00256192 & 0.998719 \tabularnewline
50 & 0.000928109 & 0.00185622 & 0.999072 \tabularnewline
51 & 0.000634566 & 0.00126913 & 0.999365 \tabularnewline
52 & 0.00137431 & 0.00274863 & 0.998626 \tabularnewline
53 & 0.000955512 & 0.00191102 & 0.999044 \tabularnewline
54 & 0.000732123 & 0.00146425 & 0.999268 \tabularnewline
55 & 0.000693175 & 0.00138635 & 0.999307 \tabularnewline
56 & 0.00049505 & 0.000990099 & 0.999505 \tabularnewline
57 & 0.00149328 & 0.00298657 & 0.998507 \tabularnewline
58 & 0.00150717 & 0.00301434 & 0.998493 \tabularnewline
59 & 0.00180359 & 0.00360718 & 0.998196 \tabularnewline
60 & 0.00161283 & 0.00322566 & 0.998387 \tabularnewline
61 & 0.00134936 & 0.00269873 & 0.998651 \tabularnewline
62 & 0.00101647 & 0.00203294 & 0.998984 \tabularnewline
63 & 0.00127292 & 0.00254585 & 0.998727 \tabularnewline
64 & 0.00239265 & 0.0047853 & 0.997607 \tabularnewline
65 & 0.00201386 & 0.00402773 & 0.997986 \tabularnewline
66 & 0.00181192 & 0.00362385 & 0.998188 \tabularnewline
67 & 0.00132059 & 0.00264118 & 0.998679 \tabularnewline
68 & 0.00112306 & 0.00224612 & 0.998877 \tabularnewline
69 & 0.00130654 & 0.00261307 & 0.998693 \tabularnewline
70 & 0.000977673 & 0.00195535 & 0.999022 \tabularnewline
71 & 0.000740372 & 0.00148074 & 0.99926 \tabularnewline
72 & 0.000529656 & 0.00105931 & 0.99947 \tabularnewline
73 & 0.000489567 & 0.000979134 & 0.99951 \tabularnewline
74 & 0.000548814 & 0.00109763 & 0.999451 \tabularnewline
75 & 0.000435003 & 0.000870007 & 0.999565 \tabularnewline
76 & 0.000362405 & 0.000724811 & 0.999638 \tabularnewline
77 & 0.000263625 & 0.000527251 & 0.999736 \tabularnewline
78 & 0.000218503 & 0.000437006 & 0.999781 \tabularnewline
79 & 0.000172297 & 0.000344595 & 0.999828 \tabularnewline
80 & 0.000241724 & 0.000483448 & 0.999758 \tabularnewline
81 & 0.00018081 & 0.000361619 & 0.999819 \tabularnewline
82 & 0.000154296 & 0.000308592 & 0.999846 \tabularnewline
83 & 0.000112053 & 0.000224106 & 0.999888 \tabularnewline
84 & 0.000823891 & 0.00164778 & 0.999176 \tabularnewline
85 & 0.000660568 & 0.00132114 & 0.999339 \tabularnewline
86 & 0.000503466 & 0.00100693 & 0.999497 \tabularnewline
87 & 0.000377139 & 0.000754278 & 0.999623 \tabularnewline
88 & 0.000280318 & 0.000560635 & 0.99972 \tabularnewline
89 & 0.000308135 & 0.00061627 & 0.999692 \tabularnewline
90 & 0.000245018 & 0.000490037 & 0.999755 \tabularnewline
91 & 0.000204136 & 0.000408273 & 0.999796 \tabularnewline
92 & 0.000692199 & 0.0013844 & 0.999308 \tabularnewline
93 & 0.000595934 & 0.00119187 & 0.999404 \tabularnewline
94 & 0.000621514 & 0.00124303 & 0.999378 \tabularnewline
95 & 0.00088763 & 0.00177526 & 0.999112 \tabularnewline
96 & 0.000902003 & 0.00180401 & 0.999098 \tabularnewline
97 & 0.00146009 & 0.00292017 & 0.99854 \tabularnewline
98 & 0.0011361 & 0.0022722 & 0.998864 \tabularnewline
99 & 0.000958464 & 0.00191693 & 0.999042 \tabularnewline
100 & 0.00132756 & 0.00265511 & 0.998672 \tabularnewline
101 & 0.00110088 & 0.00220176 & 0.998899 \tabularnewline
102 & 0.000941674 & 0.00188335 & 0.999058 \tabularnewline
103 & 0.001229 & 0.002458 & 0.998771 \tabularnewline
104 & 0.00117164 & 0.00234328 & 0.998828 \tabularnewline
105 & 0.00124417 & 0.00248835 & 0.998756 \tabularnewline
106 & 0.00147301 & 0.00294601 & 0.998527 \tabularnewline
107 & 0.00132103 & 0.00264207 & 0.998679 \tabularnewline
108 & 0.00576021 & 0.0115204 & 0.99424 \tabularnewline
109 & 0.0124299 & 0.0248598 & 0.98757 \tabularnewline
110 & 0.0126503 & 0.0253006 & 0.98735 \tabularnewline
111 & 0.010963 & 0.0219261 & 0.989037 \tabularnewline
112 & 0.00977481 & 0.0195496 & 0.990225 \tabularnewline
113 & 0.0398046 & 0.0796092 & 0.960195 \tabularnewline
114 & 0.0368612 & 0.0737225 & 0.963139 \tabularnewline
115 & 0.07962 & 0.15924 & 0.92038 \tabularnewline
116 & 0.137136 & 0.274272 & 0.862864 \tabularnewline
117 & 0.180591 & 0.361181 & 0.819409 \tabularnewline
118 & 0.166643 & 0.333286 & 0.833357 \tabularnewline
119 & 0.215401 & 0.430802 & 0.784599 \tabularnewline
120 & 0.350708 & 0.701416 & 0.649292 \tabularnewline
121 & 0.385329 & 0.770658 & 0.614671 \tabularnewline
122 & 0.359692 & 0.719384 & 0.640308 \tabularnewline
123 & 0.461593 & 0.923187 & 0.538407 \tabularnewline
124 & 0.449257 & 0.898514 & 0.550743 \tabularnewline
125 & 0.442012 & 0.884023 & 0.557988 \tabularnewline
126 & 0.415103 & 0.830206 & 0.584897 \tabularnewline
127 & 0.451218 & 0.902436 & 0.548782 \tabularnewline
128 & 0.427738 & 0.855477 & 0.572262 \tabularnewline
129 & 0.547447 & 0.905106 & 0.452553 \tabularnewline
130 & 0.526899 & 0.946203 & 0.473101 \tabularnewline
131 & 0.511678 & 0.976644 & 0.488322 \tabularnewline
132 & 0.525655 & 0.948689 & 0.474345 \tabularnewline
133 & 0.52046 & 0.95908 & 0.47954 \tabularnewline
134 & 0.513584 & 0.972833 & 0.486416 \tabularnewline
135 & 0.485124 & 0.970247 & 0.514876 \tabularnewline
136 & 0.458872 & 0.917743 & 0.541128 \tabularnewline
137 & 0.502808 & 0.994385 & 0.497192 \tabularnewline
138 & 0.550507 & 0.898985 & 0.449493 \tabularnewline
139 & 0.62966 & 0.740681 & 0.37034 \tabularnewline
140 & 0.635257 & 0.729486 & 0.364743 \tabularnewline
141 & 0.619292 & 0.761416 & 0.380708 \tabularnewline
142 & 0.661893 & 0.676215 & 0.338107 \tabularnewline
143 & 0.650749 & 0.698502 & 0.349251 \tabularnewline
144 & 0.690501 & 0.618998 & 0.309499 \tabularnewline
145 & 0.696511 & 0.606978 & 0.303489 \tabularnewline
146 & 0.733174 & 0.533652 & 0.266826 \tabularnewline
147 & 0.708862 & 0.582275 & 0.291138 \tabularnewline
148 & 0.686897 & 0.626205 & 0.313103 \tabularnewline
149 & 0.667338 & 0.665324 & 0.332662 \tabularnewline
150 & 0.717855 & 0.564289 & 0.282145 \tabularnewline
151 & 0.729159 & 0.541682 & 0.270841 \tabularnewline
152 & 0.731098 & 0.537805 & 0.268902 \tabularnewline
153 & 0.773888 & 0.452224 & 0.226112 \tabularnewline
154 & 0.783237 & 0.433527 & 0.216763 \tabularnewline
155 & 0.764728 & 0.470545 & 0.235272 \tabularnewline
156 & 0.742618 & 0.514763 & 0.257382 \tabularnewline
157 & 0.798251 & 0.403498 & 0.201749 \tabularnewline
158 & 0.787967 & 0.424065 & 0.212033 \tabularnewline
159 & 0.769061 & 0.461878 & 0.230939 \tabularnewline
160 & 0.751488 & 0.497023 & 0.248512 \tabularnewline
161 & 0.79289 & 0.414219 & 0.20711 \tabularnewline
162 & 0.784714 & 0.430572 & 0.215286 \tabularnewline
163 & 0.796423 & 0.407154 & 0.203577 \tabularnewline
164 & 0.788961 & 0.422078 & 0.211039 \tabularnewline
165 & 0.865683 & 0.268633 & 0.134317 \tabularnewline
166 & 0.859093 & 0.281814 & 0.140907 \tabularnewline
167 & 0.886606 & 0.226789 & 0.113394 \tabularnewline
168 & 0.874578 & 0.250845 & 0.125422 \tabularnewline
169 & 0.862219 & 0.275562 & 0.137781 \tabularnewline
170 & 0.85274 & 0.294521 & 0.14726 \tabularnewline
171 & 0.843228 & 0.313544 & 0.156772 \tabularnewline
172 & 0.865346 & 0.269307 & 0.134654 \tabularnewline
173 & 0.850215 & 0.29957 & 0.149785 \tabularnewline
174 & 0.837271 & 0.325457 & 0.162729 \tabularnewline
175 & 0.823511 & 0.352978 & 0.176489 \tabularnewline
176 & 0.837744 & 0.324512 & 0.162256 \tabularnewline
177 & 0.815323 & 0.369354 & 0.184677 \tabularnewline
178 & 0.86093 & 0.278139 & 0.13907 \tabularnewline
179 & 0.847296 & 0.305408 & 0.152704 \tabularnewline
180 & 0.894219 & 0.211562 & 0.105781 \tabularnewline
181 & 0.879156 & 0.241688 & 0.120844 \tabularnewline
182 & 0.864019 & 0.271962 & 0.135981 \tabularnewline
183 & 0.899148 & 0.201704 & 0.100852 \tabularnewline
184 & 0.887175 & 0.22565 & 0.112825 \tabularnewline
185 & 0.871006 & 0.257987 & 0.128994 \tabularnewline
186 & 0.864253 & 0.271494 & 0.135747 \tabularnewline
187 & 0.872043 & 0.255915 & 0.127957 \tabularnewline
188 & 0.853538 & 0.292924 & 0.146462 \tabularnewline
189 & 0.837912 & 0.324177 & 0.162088 \tabularnewline
190 & 0.817801 & 0.364397 & 0.182199 \tabularnewline
191 & 0.823032 & 0.353936 & 0.176968 \tabularnewline
192 & 0.805991 & 0.388017 & 0.194009 \tabularnewline
193 & 0.819165 & 0.36167 & 0.180835 \tabularnewline
194 & 0.84149 & 0.317021 & 0.15851 \tabularnewline
195 & 0.82065 & 0.3587 & 0.17935 \tabularnewline
196 & 0.799254 & 0.401492 & 0.200746 \tabularnewline
197 & 0.775048 & 0.449905 & 0.224952 \tabularnewline
198 & 0.746427 & 0.507146 & 0.253573 \tabularnewline
199 & 0.720338 & 0.559325 & 0.279662 \tabularnewline
200 & 0.708322 & 0.583356 & 0.291678 \tabularnewline
201 & 0.777328 & 0.445345 & 0.222672 \tabularnewline
202 & 0.748109 & 0.503782 & 0.251891 \tabularnewline
203 & 0.717374 & 0.565252 & 0.282626 \tabularnewline
204 & 0.696228 & 0.607545 & 0.303772 \tabularnewline
205 & 0.66566 & 0.66868 & 0.33434 \tabularnewline
206 & 0.6333 & 0.733401 & 0.3667 \tabularnewline
207 & 0.637 & 0.726001 & 0.363 \tabularnewline
208 & 0.607218 & 0.785564 & 0.392782 \tabularnewline
209 & 0.654664 & 0.690673 & 0.345336 \tabularnewline
210 & 0.645837 & 0.708326 & 0.354163 \tabularnewline
211 & 0.627378 & 0.745245 & 0.372622 \tabularnewline
212 & 0.597594 & 0.804811 & 0.402406 \tabularnewline
213 & 0.570049 & 0.859903 & 0.429951 \tabularnewline
214 & 0.533564 & 0.932872 & 0.466436 \tabularnewline
215 & 0.519702 & 0.960596 & 0.480298 \tabularnewline
216 & 0.485038 & 0.970077 & 0.514962 \tabularnewline
217 & 0.46102 & 0.92204 & 0.53898 \tabularnewline
218 & 0.499318 & 0.998637 & 0.500682 \tabularnewline
219 & 0.48074 & 0.961479 & 0.51926 \tabularnewline
220 & 0.45458 & 0.909159 & 0.54542 \tabularnewline
221 & 0.475905 & 0.95181 & 0.524095 \tabularnewline
222 & 0.557988 & 0.884024 & 0.442012 \tabularnewline
223 & 0.521914 & 0.956172 & 0.478086 \tabularnewline
224 & 0.492641 & 0.985283 & 0.507359 \tabularnewline
225 & 0.573567 & 0.852866 & 0.426433 \tabularnewline
226 & 0.539254 & 0.921492 & 0.460746 \tabularnewline
227 & 0.552429 & 0.895142 & 0.447571 \tabularnewline
228 & 0.526527 & 0.946947 & 0.473473 \tabularnewline
229 & 0.588639 & 0.822721 & 0.411361 \tabularnewline
230 & 0.677636 & 0.644727 & 0.322364 \tabularnewline
231 & 0.727041 & 0.545917 & 0.272959 \tabularnewline
232 & 0.797779 & 0.404443 & 0.202221 \tabularnewline
233 & 0.761902 & 0.476195 & 0.238098 \tabularnewline
234 & 0.722422 & 0.555156 & 0.277578 \tabularnewline
235 & 0.724955 & 0.55009 & 0.275045 \tabularnewline
236 & 0.921239 & 0.157523 & 0.0787613 \tabularnewline
237 & 0.906169 & 0.187661 & 0.0938306 \tabularnewline
238 & 0.882559 & 0.234882 & 0.117441 \tabularnewline
239 & 0.863582 & 0.272836 & 0.136418 \tabularnewline
240 & 0.835831 & 0.328337 & 0.164169 \tabularnewline
241 & 0.800518 & 0.398963 & 0.199482 \tabularnewline
242 & 0.777849 & 0.444302 & 0.222151 \tabularnewline
243 & 0.742529 & 0.514943 & 0.257471 \tabularnewline
244 & 0.880807 & 0.238386 & 0.119193 \tabularnewline
245 & 0.854713 & 0.290574 & 0.145287 \tabularnewline
246 & 0.825 & 0.35 & 0.175 \tabularnewline
247 & 0.833339 & 0.333321 & 0.166661 \tabularnewline
248 & 0.798016 & 0.403968 & 0.201984 \tabularnewline
249 & 0.792017 & 0.415966 & 0.207983 \tabularnewline
250 & 0.745374 & 0.509251 & 0.254626 \tabularnewline
251 & 0.700826 & 0.598348 & 0.299174 \tabularnewline
252 & 0.650756 & 0.698488 & 0.349244 \tabularnewline
253 & 0.599994 & 0.800012 & 0.400006 \tabularnewline
254 & 0.551261 & 0.897477 & 0.448739 \tabularnewline
255 & 0.485895 & 0.97179 & 0.514105 \tabularnewline
256 & 0.498054 & 0.996107 & 0.501946 \tabularnewline
257 & 0.623388 & 0.753224 & 0.376612 \tabularnewline
258 & 0.790292 & 0.419415 & 0.209708 \tabularnewline
259 & 0.73241 & 0.53518 & 0.26759 \tabularnewline
260 & 0.886448 & 0.227105 & 0.113552 \tabularnewline
261 & 0.909404 & 0.181193 & 0.0905963 \tabularnewline
262 & 0.872646 & 0.254708 & 0.127354 \tabularnewline
263 & 0.954894 & 0.090213 & 0.0451065 \tabularnewline
264 & 0.928836 & 0.142327 & 0.0711636 \tabularnewline
265 & 0.894846 & 0.210308 & 0.105154 \tabularnewline
266 & 0.841212 & 0.317576 & 0.158788 \tabularnewline
267 & 0.799606 & 0.400788 & 0.200394 \tabularnewline
268 & 0.709866 & 0.580268 & 0.290134 \tabularnewline
269 & 0.629594 & 0.740813 & 0.370406 \tabularnewline
270 & 0.840439 & 0.319122 & 0.159561 \tabularnewline
271 & 0.902309 & 0.195382 & 0.0976911 \tabularnewline
272 & 0.82192 & 0.356159 & 0.17808 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268938&T=5

[TABLE]
[ROW][C]Goldfeld-Quandt test for Heteroskedasticity[/C][/ROW]
[ROW][C]p-values[/C][C]Alternative Hypothesis[/C][/ROW]
[ROW][C]breakpoint index[/C][C]greater[/C][C]2-sided[/C][C]less[/C][/ROW]
[ROW][C]6[/C][C]0.563374[/C][C]0.873252[/C][C]0.436626[/C][/ROW]
[ROW][C]7[/C][C]0.444184[/C][C]0.888368[/C][C]0.555816[/C][/ROW]
[ROW][C]8[/C][C]0.334547[/C][C]0.669094[/C][C]0.665453[/C][/ROW]
[ROW][C]9[/C][C]0.282646[/C][C]0.565293[/C][C]0.717354[/C][/ROW]
[ROW][C]10[/C][C]0.262795[/C][C]0.525589[/C][C]0.737205[/C][/ROW]
[ROW][C]11[/C][C]0.182717[/C][C]0.365435[/C][C]0.817283[/C][/ROW]
[ROW][C]12[/C][C]0.326146[/C][C]0.652291[/C][C]0.673854[/C][/ROW]
[ROW][C]13[/C][C]0.248059[/C][C]0.496118[/C][C]0.751941[/C][/ROW]
[ROW][C]14[/C][C]0.217822[/C][C]0.435645[/C][C]0.782178[/C][/ROW]
[ROW][C]15[/C][C]0.340529[/C][C]0.681058[/C][C]0.659471[/C][/ROW]
[ROW][C]16[/C][C]0.270407[/C][C]0.540814[/C][C]0.729593[/C][/ROW]
[ROW][C]17[/C][C]0.21023[/C][C]0.42046[/C][C]0.78977[/C][/ROW]
[ROW][C]18[/C][C]0.166301[/C][C]0.332601[/C][C]0.833699[/C][/ROW]
[ROW][C]19[/C][C]0.124346[/C][C]0.248691[/C][C]0.875654[/C][/ROW]
[ROW][C]20[/C][C]0.0929681[/C][C]0.185936[/C][C]0.907032[/C][/ROW]
[ROW][C]21[/C][C]0.115507[/C][C]0.231015[/C][C]0.884493[/C][/ROW]
[ROW][C]22[/C][C]0.123763[/C][C]0.247526[/C][C]0.876237[/C][/ROW]
[ROW][C]23[/C][C]0.0953459[/C][C]0.190692[/C][C]0.904654[/C][/ROW]
[ROW][C]24[/C][C]0.0736757[/C][C]0.147351[/C][C]0.926324[/C][/ROW]
[ROW][C]25[/C][C]0.0628249[/C][C]0.12565[/C][C]0.937175[/C][/ROW]
[ROW][C]26[/C][C]0.0448341[/C][C]0.0896682[/C][C]0.955166[/C][/ROW]
[ROW][C]27[/C][C]0.0916604[/C][C]0.183321[/C][C]0.90834[/C][/ROW]
[ROW][C]28[/C][C]0.0860717[/C][C]0.172143[/C][C]0.913928[/C][/ROW]
[ROW][C]29[/C][C]0.0672255[/C][C]0.134451[/C][C]0.932774[/C][/ROW]
[ROW][C]30[/C][C]0.0513932[/C][C]0.102786[/C][C]0.948607[/C][/ROW]
[ROW][C]31[/C][C]0.0509028[/C][C]0.101806[/C][C]0.949097[/C][/ROW]
[ROW][C]32[/C][C]0.0386511[/C][C]0.0773022[/C][C]0.961349[/C][/ROW]
[ROW][C]33[/C][C]0.0327682[/C][C]0.0655363[/C][C]0.967232[/C][/ROW]
[ROW][C]34[/C][C]0.0248895[/C][C]0.0497791[/C][C]0.97511[/C][/ROW]
[ROW][C]35[/C][C]0.0179095[/C][C]0.0358189[/C][C]0.982091[/C][/ROW]
[ROW][C]36[/C][C]0.0136539[/C][C]0.0273079[/C][C]0.986346[/C][/ROW]
[ROW][C]37[/C][C]0.0102328[/C][C]0.0204655[/C][C]0.989767[/C][/ROW]
[ROW][C]38[/C][C]0.00855411[/C][C]0.0171082[/C][C]0.991446[/C][/ROW]
[ROW][C]39[/C][C]0.00684487[/C][C]0.0136897[/C][C]0.993155[/C][/ROW]
[ROW][C]40[/C][C]0.00469927[/C][C]0.00939854[/C][C]0.995301[/C][/ROW]
[ROW][C]41[/C][C]0.010748[/C][C]0.0214961[/C][C]0.989252[/C][/ROW]
[ROW][C]42[/C][C]0.00764186[/C][C]0.0152837[/C][C]0.992358[/C][/ROW]
[ROW][C]43[/C][C]0.00611596[/C][C]0.0122319[/C][C]0.993884[/C][/ROW]
[ROW][C]44[/C][C]0.00431331[/C][C]0.00862661[/C][C]0.995687[/C][/ROW]
[ROW][C]45[/C][C]0.00326474[/C][C]0.00652948[/C][C]0.996735[/C][/ROW]
[ROW][C]46[/C][C]0.00220914[/C][C]0.00441829[/C][C]0.997791[/C][/ROW]
[ROW][C]47[/C][C]0.00157756[/C][C]0.00315513[/C][C]0.998422[/C][/ROW]
[ROW][C]48[/C][C]0.00171691[/C][C]0.00343381[/C][C]0.998283[/C][/ROW]
[ROW][C]49[/C][C]0.00128096[/C][C]0.00256192[/C][C]0.998719[/C][/ROW]
[ROW][C]50[/C][C]0.000928109[/C][C]0.00185622[/C][C]0.999072[/C][/ROW]
[ROW][C]51[/C][C]0.000634566[/C][C]0.00126913[/C][C]0.999365[/C][/ROW]
[ROW][C]52[/C][C]0.00137431[/C][C]0.00274863[/C][C]0.998626[/C][/ROW]
[ROW][C]53[/C][C]0.000955512[/C][C]0.00191102[/C][C]0.999044[/C][/ROW]
[ROW][C]54[/C][C]0.000732123[/C][C]0.00146425[/C][C]0.999268[/C][/ROW]
[ROW][C]55[/C][C]0.000693175[/C][C]0.00138635[/C][C]0.999307[/C][/ROW]
[ROW][C]56[/C][C]0.00049505[/C][C]0.000990099[/C][C]0.999505[/C][/ROW]
[ROW][C]57[/C][C]0.00149328[/C][C]0.00298657[/C][C]0.998507[/C][/ROW]
[ROW][C]58[/C][C]0.00150717[/C][C]0.00301434[/C][C]0.998493[/C][/ROW]
[ROW][C]59[/C][C]0.00180359[/C][C]0.00360718[/C][C]0.998196[/C][/ROW]
[ROW][C]60[/C][C]0.00161283[/C][C]0.00322566[/C][C]0.998387[/C][/ROW]
[ROW][C]61[/C][C]0.00134936[/C][C]0.00269873[/C][C]0.998651[/C][/ROW]
[ROW][C]62[/C][C]0.00101647[/C][C]0.00203294[/C][C]0.998984[/C][/ROW]
[ROW][C]63[/C][C]0.00127292[/C][C]0.00254585[/C][C]0.998727[/C][/ROW]
[ROW][C]64[/C][C]0.00239265[/C][C]0.0047853[/C][C]0.997607[/C][/ROW]
[ROW][C]65[/C][C]0.00201386[/C][C]0.00402773[/C][C]0.997986[/C][/ROW]
[ROW][C]66[/C][C]0.00181192[/C][C]0.00362385[/C][C]0.998188[/C][/ROW]
[ROW][C]67[/C][C]0.00132059[/C][C]0.00264118[/C][C]0.998679[/C][/ROW]
[ROW][C]68[/C][C]0.00112306[/C][C]0.00224612[/C][C]0.998877[/C][/ROW]
[ROW][C]69[/C][C]0.00130654[/C][C]0.00261307[/C][C]0.998693[/C][/ROW]
[ROW][C]70[/C][C]0.000977673[/C][C]0.00195535[/C][C]0.999022[/C][/ROW]
[ROW][C]71[/C][C]0.000740372[/C][C]0.00148074[/C][C]0.99926[/C][/ROW]
[ROW][C]72[/C][C]0.000529656[/C][C]0.00105931[/C][C]0.99947[/C][/ROW]
[ROW][C]73[/C][C]0.000489567[/C][C]0.000979134[/C][C]0.99951[/C][/ROW]
[ROW][C]74[/C][C]0.000548814[/C][C]0.00109763[/C][C]0.999451[/C][/ROW]
[ROW][C]75[/C][C]0.000435003[/C][C]0.000870007[/C][C]0.999565[/C][/ROW]
[ROW][C]76[/C][C]0.000362405[/C][C]0.000724811[/C][C]0.999638[/C][/ROW]
[ROW][C]77[/C][C]0.000263625[/C][C]0.000527251[/C][C]0.999736[/C][/ROW]
[ROW][C]78[/C][C]0.000218503[/C][C]0.000437006[/C][C]0.999781[/C][/ROW]
[ROW][C]79[/C][C]0.000172297[/C][C]0.000344595[/C][C]0.999828[/C][/ROW]
[ROW][C]80[/C][C]0.000241724[/C][C]0.000483448[/C][C]0.999758[/C][/ROW]
[ROW][C]81[/C][C]0.00018081[/C][C]0.000361619[/C][C]0.999819[/C][/ROW]
[ROW][C]82[/C][C]0.000154296[/C][C]0.000308592[/C][C]0.999846[/C][/ROW]
[ROW][C]83[/C][C]0.000112053[/C][C]0.000224106[/C][C]0.999888[/C][/ROW]
[ROW][C]84[/C][C]0.000823891[/C][C]0.00164778[/C][C]0.999176[/C][/ROW]
[ROW][C]85[/C][C]0.000660568[/C][C]0.00132114[/C][C]0.999339[/C][/ROW]
[ROW][C]86[/C][C]0.000503466[/C][C]0.00100693[/C][C]0.999497[/C][/ROW]
[ROW][C]87[/C][C]0.000377139[/C][C]0.000754278[/C][C]0.999623[/C][/ROW]
[ROW][C]88[/C][C]0.000280318[/C][C]0.000560635[/C][C]0.99972[/C][/ROW]
[ROW][C]89[/C][C]0.000308135[/C][C]0.00061627[/C][C]0.999692[/C][/ROW]
[ROW][C]90[/C][C]0.000245018[/C][C]0.000490037[/C][C]0.999755[/C][/ROW]
[ROW][C]91[/C][C]0.000204136[/C][C]0.000408273[/C][C]0.999796[/C][/ROW]
[ROW][C]92[/C][C]0.000692199[/C][C]0.0013844[/C][C]0.999308[/C][/ROW]
[ROW][C]93[/C][C]0.000595934[/C][C]0.00119187[/C][C]0.999404[/C][/ROW]
[ROW][C]94[/C][C]0.000621514[/C][C]0.00124303[/C][C]0.999378[/C][/ROW]
[ROW][C]95[/C][C]0.00088763[/C][C]0.00177526[/C][C]0.999112[/C][/ROW]
[ROW][C]96[/C][C]0.000902003[/C][C]0.00180401[/C][C]0.999098[/C][/ROW]
[ROW][C]97[/C][C]0.00146009[/C][C]0.00292017[/C][C]0.99854[/C][/ROW]
[ROW][C]98[/C][C]0.0011361[/C][C]0.0022722[/C][C]0.998864[/C][/ROW]
[ROW][C]99[/C][C]0.000958464[/C][C]0.00191693[/C][C]0.999042[/C][/ROW]
[ROW][C]100[/C][C]0.00132756[/C][C]0.00265511[/C][C]0.998672[/C][/ROW]
[ROW][C]101[/C][C]0.00110088[/C][C]0.00220176[/C][C]0.998899[/C][/ROW]
[ROW][C]102[/C][C]0.000941674[/C][C]0.00188335[/C][C]0.999058[/C][/ROW]
[ROW][C]103[/C][C]0.001229[/C][C]0.002458[/C][C]0.998771[/C][/ROW]
[ROW][C]104[/C][C]0.00117164[/C][C]0.00234328[/C][C]0.998828[/C][/ROW]
[ROW][C]105[/C][C]0.00124417[/C][C]0.00248835[/C][C]0.998756[/C][/ROW]
[ROW][C]106[/C][C]0.00147301[/C][C]0.00294601[/C][C]0.998527[/C][/ROW]
[ROW][C]107[/C][C]0.00132103[/C][C]0.00264207[/C][C]0.998679[/C][/ROW]
[ROW][C]108[/C][C]0.00576021[/C][C]0.0115204[/C][C]0.99424[/C][/ROW]
[ROW][C]109[/C][C]0.0124299[/C][C]0.0248598[/C][C]0.98757[/C][/ROW]
[ROW][C]110[/C][C]0.0126503[/C][C]0.0253006[/C][C]0.98735[/C][/ROW]
[ROW][C]111[/C][C]0.010963[/C][C]0.0219261[/C][C]0.989037[/C][/ROW]
[ROW][C]112[/C][C]0.00977481[/C][C]0.0195496[/C][C]0.990225[/C][/ROW]
[ROW][C]113[/C][C]0.0398046[/C][C]0.0796092[/C][C]0.960195[/C][/ROW]
[ROW][C]114[/C][C]0.0368612[/C][C]0.0737225[/C][C]0.963139[/C][/ROW]
[ROW][C]115[/C][C]0.07962[/C][C]0.15924[/C][C]0.92038[/C][/ROW]
[ROW][C]116[/C][C]0.137136[/C][C]0.274272[/C][C]0.862864[/C][/ROW]
[ROW][C]117[/C][C]0.180591[/C][C]0.361181[/C][C]0.819409[/C][/ROW]
[ROW][C]118[/C][C]0.166643[/C][C]0.333286[/C][C]0.833357[/C][/ROW]
[ROW][C]119[/C][C]0.215401[/C][C]0.430802[/C][C]0.784599[/C][/ROW]
[ROW][C]120[/C][C]0.350708[/C][C]0.701416[/C][C]0.649292[/C][/ROW]
[ROW][C]121[/C][C]0.385329[/C][C]0.770658[/C][C]0.614671[/C][/ROW]
[ROW][C]122[/C][C]0.359692[/C][C]0.719384[/C][C]0.640308[/C][/ROW]
[ROW][C]123[/C][C]0.461593[/C][C]0.923187[/C][C]0.538407[/C][/ROW]
[ROW][C]124[/C][C]0.449257[/C][C]0.898514[/C][C]0.550743[/C][/ROW]
[ROW][C]125[/C][C]0.442012[/C][C]0.884023[/C][C]0.557988[/C][/ROW]
[ROW][C]126[/C][C]0.415103[/C][C]0.830206[/C][C]0.584897[/C][/ROW]
[ROW][C]127[/C][C]0.451218[/C][C]0.902436[/C][C]0.548782[/C][/ROW]
[ROW][C]128[/C][C]0.427738[/C][C]0.855477[/C][C]0.572262[/C][/ROW]
[ROW][C]129[/C][C]0.547447[/C][C]0.905106[/C][C]0.452553[/C][/ROW]
[ROW][C]130[/C][C]0.526899[/C][C]0.946203[/C][C]0.473101[/C][/ROW]
[ROW][C]131[/C][C]0.511678[/C][C]0.976644[/C][C]0.488322[/C][/ROW]
[ROW][C]132[/C][C]0.525655[/C][C]0.948689[/C][C]0.474345[/C][/ROW]
[ROW][C]133[/C][C]0.52046[/C][C]0.95908[/C][C]0.47954[/C][/ROW]
[ROW][C]134[/C][C]0.513584[/C][C]0.972833[/C][C]0.486416[/C][/ROW]
[ROW][C]135[/C][C]0.485124[/C][C]0.970247[/C][C]0.514876[/C][/ROW]
[ROW][C]136[/C][C]0.458872[/C][C]0.917743[/C][C]0.541128[/C][/ROW]
[ROW][C]137[/C][C]0.502808[/C][C]0.994385[/C][C]0.497192[/C][/ROW]
[ROW][C]138[/C][C]0.550507[/C][C]0.898985[/C][C]0.449493[/C][/ROW]
[ROW][C]139[/C][C]0.62966[/C][C]0.740681[/C][C]0.37034[/C][/ROW]
[ROW][C]140[/C][C]0.635257[/C][C]0.729486[/C][C]0.364743[/C][/ROW]
[ROW][C]141[/C][C]0.619292[/C][C]0.761416[/C][C]0.380708[/C][/ROW]
[ROW][C]142[/C][C]0.661893[/C][C]0.676215[/C][C]0.338107[/C][/ROW]
[ROW][C]143[/C][C]0.650749[/C][C]0.698502[/C][C]0.349251[/C][/ROW]
[ROW][C]144[/C][C]0.690501[/C][C]0.618998[/C][C]0.309499[/C][/ROW]
[ROW][C]145[/C][C]0.696511[/C][C]0.606978[/C][C]0.303489[/C][/ROW]
[ROW][C]146[/C][C]0.733174[/C][C]0.533652[/C][C]0.266826[/C][/ROW]
[ROW][C]147[/C][C]0.708862[/C][C]0.582275[/C][C]0.291138[/C][/ROW]
[ROW][C]148[/C][C]0.686897[/C][C]0.626205[/C][C]0.313103[/C][/ROW]
[ROW][C]149[/C][C]0.667338[/C][C]0.665324[/C][C]0.332662[/C][/ROW]
[ROW][C]150[/C][C]0.717855[/C][C]0.564289[/C][C]0.282145[/C][/ROW]
[ROW][C]151[/C][C]0.729159[/C][C]0.541682[/C][C]0.270841[/C][/ROW]
[ROW][C]152[/C][C]0.731098[/C][C]0.537805[/C][C]0.268902[/C][/ROW]
[ROW][C]153[/C][C]0.773888[/C][C]0.452224[/C][C]0.226112[/C][/ROW]
[ROW][C]154[/C][C]0.783237[/C][C]0.433527[/C][C]0.216763[/C][/ROW]
[ROW][C]155[/C][C]0.764728[/C][C]0.470545[/C][C]0.235272[/C][/ROW]
[ROW][C]156[/C][C]0.742618[/C][C]0.514763[/C][C]0.257382[/C][/ROW]
[ROW][C]157[/C][C]0.798251[/C][C]0.403498[/C][C]0.201749[/C][/ROW]
[ROW][C]158[/C][C]0.787967[/C][C]0.424065[/C][C]0.212033[/C][/ROW]
[ROW][C]159[/C][C]0.769061[/C][C]0.461878[/C][C]0.230939[/C][/ROW]
[ROW][C]160[/C][C]0.751488[/C][C]0.497023[/C][C]0.248512[/C][/ROW]
[ROW][C]161[/C][C]0.79289[/C][C]0.414219[/C][C]0.20711[/C][/ROW]
[ROW][C]162[/C][C]0.784714[/C][C]0.430572[/C][C]0.215286[/C][/ROW]
[ROW][C]163[/C][C]0.796423[/C][C]0.407154[/C][C]0.203577[/C][/ROW]
[ROW][C]164[/C][C]0.788961[/C][C]0.422078[/C][C]0.211039[/C][/ROW]
[ROW][C]165[/C][C]0.865683[/C][C]0.268633[/C][C]0.134317[/C][/ROW]
[ROW][C]166[/C][C]0.859093[/C][C]0.281814[/C][C]0.140907[/C][/ROW]
[ROW][C]167[/C][C]0.886606[/C][C]0.226789[/C][C]0.113394[/C][/ROW]
[ROW][C]168[/C][C]0.874578[/C][C]0.250845[/C][C]0.125422[/C][/ROW]
[ROW][C]169[/C][C]0.862219[/C][C]0.275562[/C][C]0.137781[/C][/ROW]
[ROW][C]170[/C][C]0.85274[/C][C]0.294521[/C][C]0.14726[/C][/ROW]
[ROW][C]171[/C][C]0.843228[/C][C]0.313544[/C][C]0.156772[/C][/ROW]
[ROW][C]172[/C][C]0.865346[/C][C]0.269307[/C][C]0.134654[/C][/ROW]
[ROW][C]173[/C][C]0.850215[/C][C]0.29957[/C][C]0.149785[/C][/ROW]
[ROW][C]174[/C][C]0.837271[/C][C]0.325457[/C][C]0.162729[/C][/ROW]
[ROW][C]175[/C][C]0.823511[/C][C]0.352978[/C][C]0.176489[/C][/ROW]
[ROW][C]176[/C][C]0.837744[/C][C]0.324512[/C][C]0.162256[/C][/ROW]
[ROW][C]177[/C][C]0.815323[/C][C]0.369354[/C][C]0.184677[/C][/ROW]
[ROW][C]178[/C][C]0.86093[/C][C]0.278139[/C][C]0.13907[/C][/ROW]
[ROW][C]179[/C][C]0.847296[/C][C]0.305408[/C][C]0.152704[/C][/ROW]
[ROW][C]180[/C][C]0.894219[/C][C]0.211562[/C][C]0.105781[/C][/ROW]
[ROW][C]181[/C][C]0.879156[/C][C]0.241688[/C][C]0.120844[/C][/ROW]
[ROW][C]182[/C][C]0.864019[/C][C]0.271962[/C][C]0.135981[/C][/ROW]
[ROW][C]183[/C][C]0.899148[/C][C]0.201704[/C][C]0.100852[/C][/ROW]
[ROW][C]184[/C][C]0.887175[/C][C]0.22565[/C][C]0.112825[/C][/ROW]
[ROW][C]185[/C][C]0.871006[/C][C]0.257987[/C][C]0.128994[/C][/ROW]
[ROW][C]186[/C][C]0.864253[/C][C]0.271494[/C][C]0.135747[/C][/ROW]
[ROW][C]187[/C][C]0.872043[/C][C]0.255915[/C][C]0.127957[/C][/ROW]
[ROW][C]188[/C][C]0.853538[/C][C]0.292924[/C][C]0.146462[/C][/ROW]
[ROW][C]189[/C][C]0.837912[/C][C]0.324177[/C][C]0.162088[/C][/ROW]
[ROW][C]190[/C][C]0.817801[/C][C]0.364397[/C][C]0.182199[/C][/ROW]
[ROW][C]191[/C][C]0.823032[/C][C]0.353936[/C][C]0.176968[/C][/ROW]
[ROW][C]192[/C][C]0.805991[/C][C]0.388017[/C][C]0.194009[/C][/ROW]
[ROW][C]193[/C][C]0.819165[/C][C]0.36167[/C][C]0.180835[/C][/ROW]
[ROW][C]194[/C][C]0.84149[/C][C]0.317021[/C][C]0.15851[/C][/ROW]
[ROW][C]195[/C][C]0.82065[/C][C]0.3587[/C][C]0.17935[/C][/ROW]
[ROW][C]196[/C][C]0.799254[/C][C]0.401492[/C][C]0.200746[/C][/ROW]
[ROW][C]197[/C][C]0.775048[/C][C]0.449905[/C][C]0.224952[/C][/ROW]
[ROW][C]198[/C][C]0.746427[/C][C]0.507146[/C][C]0.253573[/C][/ROW]
[ROW][C]199[/C][C]0.720338[/C][C]0.559325[/C][C]0.279662[/C][/ROW]
[ROW][C]200[/C][C]0.708322[/C][C]0.583356[/C][C]0.291678[/C][/ROW]
[ROW][C]201[/C][C]0.777328[/C][C]0.445345[/C][C]0.222672[/C][/ROW]
[ROW][C]202[/C][C]0.748109[/C][C]0.503782[/C][C]0.251891[/C][/ROW]
[ROW][C]203[/C][C]0.717374[/C][C]0.565252[/C][C]0.282626[/C][/ROW]
[ROW][C]204[/C][C]0.696228[/C][C]0.607545[/C][C]0.303772[/C][/ROW]
[ROW][C]205[/C][C]0.66566[/C][C]0.66868[/C][C]0.33434[/C][/ROW]
[ROW][C]206[/C][C]0.6333[/C][C]0.733401[/C][C]0.3667[/C][/ROW]
[ROW][C]207[/C][C]0.637[/C][C]0.726001[/C][C]0.363[/C][/ROW]
[ROW][C]208[/C][C]0.607218[/C][C]0.785564[/C][C]0.392782[/C][/ROW]
[ROW][C]209[/C][C]0.654664[/C][C]0.690673[/C][C]0.345336[/C][/ROW]
[ROW][C]210[/C][C]0.645837[/C][C]0.708326[/C][C]0.354163[/C][/ROW]
[ROW][C]211[/C][C]0.627378[/C][C]0.745245[/C][C]0.372622[/C][/ROW]
[ROW][C]212[/C][C]0.597594[/C][C]0.804811[/C][C]0.402406[/C][/ROW]
[ROW][C]213[/C][C]0.570049[/C][C]0.859903[/C][C]0.429951[/C][/ROW]
[ROW][C]214[/C][C]0.533564[/C][C]0.932872[/C][C]0.466436[/C][/ROW]
[ROW][C]215[/C][C]0.519702[/C][C]0.960596[/C][C]0.480298[/C][/ROW]
[ROW][C]216[/C][C]0.485038[/C][C]0.970077[/C][C]0.514962[/C][/ROW]
[ROW][C]217[/C][C]0.46102[/C][C]0.92204[/C][C]0.53898[/C][/ROW]
[ROW][C]218[/C][C]0.499318[/C][C]0.998637[/C][C]0.500682[/C][/ROW]
[ROW][C]219[/C][C]0.48074[/C][C]0.961479[/C][C]0.51926[/C][/ROW]
[ROW][C]220[/C][C]0.45458[/C][C]0.909159[/C][C]0.54542[/C][/ROW]
[ROW][C]221[/C][C]0.475905[/C][C]0.95181[/C][C]0.524095[/C][/ROW]
[ROW][C]222[/C][C]0.557988[/C][C]0.884024[/C][C]0.442012[/C][/ROW]
[ROW][C]223[/C][C]0.521914[/C][C]0.956172[/C][C]0.478086[/C][/ROW]
[ROW][C]224[/C][C]0.492641[/C][C]0.985283[/C][C]0.507359[/C][/ROW]
[ROW][C]225[/C][C]0.573567[/C][C]0.852866[/C][C]0.426433[/C][/ROW]
[ROW][C]226[/C][C]0.539254[/C][C]0.921492[/C][C]0.460746[/C][/ROW]
[ROW][C]227[/C][C]0.552429[/C][C]0.895142[/C][C]0.447571[/C][/ROW]
[ROW][C]228[/C][C]0.526527[/C][C]0.946947[/C][C]0.473473[/C][/ROW]
[ROW][C]229[/C][C]0.588639[/C][C]0.822721[/C][C]0.411361[/C][/ROW]
[ROW][C]230[/C][C]0.677636[/C][C]0.644727[/C][C]0.322364[/C][/ROW]
[ROW][C]231[/C][C]0.727041[/C][C]0.545917[/C][C]0.272959[/C][/ROW]
[ROW][C]232[/C][C]0.797779[/C][C]0.404443[/C][C]0.202221[/C][/ROW]
[ROW][C]233[/C][C]0.761902[/C][C]0.476195[/C][C]0.238098[/C][/ROW]
[ROW][C]234[/C][C]0.722422[/C][C]0.555156[/C][C]0.277578[/C][/ROW]
[ROW][C]235[/C][C]0.724955[/C][C]0.55009[/C][C]0.275045[/C][/ROW]
[ROW][C]236[/C][C]0.921239[/C][C]0.157523[/C][C]0.0787613[/C][/ROW]
[ROW][C]237[/C][C]0.906169[/C][C]0.187661[/C][C]0.0938306[/C][/ROW]
[ROW][C]238[/C][C]0.882559[/C][C]0.234882[/C][C]0.117441[/C][/ROW]
[ROW][C]239[/C][C]0.863582[/C][C]0.272836[/C][C]0.136418[/C][/ROW]
[ROW][C]240[/C][C]0.835831[/C][C]0.328337[/C][C]0.164169[/C][/ROW]
[ROW][C]241[/C][C]0.800518[/C][C]0.398963[/C][C]0.199482[/C][/ROW]
[ROW][C]242[/C][C]0.777849[/C][C]0.444302[/C][C]0.222151[/C][/ROW]
[ROW][C]243[/C][C]0.742529[/C][C]0.514943[/C][C]0.257471[/C][/ROW]
[ROW][C]244[/C][C]0.880807[/C][C]0.238386[/C][C]0.119193[/C][/ROW]
[ROW][C]245[/C][C]0.854713[/C][C]0.290574[/C][C]0.145287[/C][/ROW]
[ROW][C]246[/C][C]0.825[/C][C]0.35[/C][C]0.175[/C][/ROW]
[ROW][C]247[/C][C]0.833339[/C][C]0.333321[/C][C]0.166661[/C][/ROW]
[ROW][C]248[/C][C]0.798016[/C][C]0.403968[/C][C]0.201984[/C][/ROW]
[ROW][C]249[/C][C]0.792017[/C][C]0.415966[/C][C]0.207983[/C][/ROW]
[ROW][C]250[/C][C]0.745374[/C][C]0.509251[/C][C]0.254626[/C][/ROW]
[ROW][C]251[/C][C]0.700826[/C][C]0.598348[/C][C]0.299174[/C][/ROW]
[ROW][C]252[/C][C]0.650756[/C][C]0.698488[/C][C]0.349244[/C][/ROW]
[ROW][C]253[/C][C]0.599994[/C][C]0.800012[/C][C]0.400006[/C][/ROW]
[ROW][C]254[/C][C]0.551261[/C][C]0.897477[/C][C]0.448739[/C][/ROW]
[ROW][C]255[/C][C]0.485895[/C][C]0.97179[/C][C]0.514105[/C][/ROW]
[ROW][C]256[/C][C]0.498054[/C][C]0.996107[/C][C]0.501946[/C][/ROW]
[ROW][C]257[/C][C]0.623388[/C][C]0.753224[/C][C]0.376612[/C][/ROW]
[ROW][C]258[/C][C]0.790292[/C][C]0.419415[/C][C]0.209708[/C][/ROW]
[ROW][C]259[/C][C]0.73241[/C][C]0.53518[/C][C]0.26759[/C][/ROW]
[ROW][C]260[/C][C]0.886448[/C][C]0.227105[/C][C]0.113552[/C][/ROW]
[ROW][C]261[/C][C]0.909404[/C][C]0.181193[/C][C]0.0905963[/C][/ROW]
[ROW][C]262[/C][C]0.872646[/C][C]0.254708[/C][C]0.127354[/C][/ROW]
[ROW][C]263[/C][C]0.954894[/C][C]0.090213[/C][C]0.0451065[/C][/ROW]
[ROW][C]264[/C][C]0.928836[/C][C]0.142327[/C][C]0.0711636[/C][/ROW]
[ROW][C]265[/C][C]0.894846[/C][C]0.210308[/C][C]0.105154[/C][/ROW]
[ROW][C]266[/C][C]0.841212[/C][C]0.317576[/C][C]0.158788[/C][/ROW]
[ROW][C]267[/C][C]0.799606[/C][C]0.400788[/C][C]0.200394[/C][/ROW]
[ROW][C]268[/C][C]0.709866[/C][C]0.580268[/C][C]0.290134[/C][/ROW]
[ROW][C]269[/C][C]0.629594[/C][C]0.740813[/C][C]0.370406[/C][/ROW]
[ROW][C]270[/C][C]0.840439[/C][C]0.319122[/C][C]0.159561[/C][/ROW]
[ROW][C]271[/C][C]0.902309[/C][C]0.195382[/C][C]0.0976911[/C][/ROW]
[ROW][C]272[/C][C]0.82192[/C][C]0.356159[/C][C]0.17808[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268938&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268938&T=5

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


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

Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
60.5633740.8732520.436626
70.4441840.8883680.555816
80.3345470.6690940.665453
90.2826460.5652930.717354
100.2627950.5255890.737205
110.1827170.3654350.817283
120.3261460.6522910.673854
130.2480590.4961180.751941
140.2178220.4356450.782178
150.3405290.6810580.659471
160.2704070.5408140.729593
170.210230.420460.78977
180.1663010.3326010.833699
190.1243460.2486910.875654
200.09296810.1859360.907032
210.1155070.2310150.884493
220.1237630.2475260.876237
230.09534590.1906920.904654
240.07367570.1473510.926324
250.06282490.125650.937175
260.04483410.08966820.955166
270.09166040.1833210.90834
280.08607170.1721430.913928
290.06722550.1344510.932774
300.05139320.1027860.948607
310.05090280.1018060.949097
320.03865110.07730220.961349
330.03276820.06553630.967232
340.02488950.04977910.97511
350.01790950.03581890.982091
360.01365390.02730790.986346
370.01023280.02046550.989767
380.008554110.01710820.991446
390.006844870.01368970.993155
400.004699270.009398540.995301
410.0107480.02149610.989252
420.007641860.01528370.992358
430.006115960.01223190.993884
440.004313310.008626610.995687
450.003264740.006529480.996735
460.002209140.004418290.997791
470.001577560.003155130.998422
480.001716910.003433810.998283
490.001280960.002561920.998719
500.0009281090.001856220.999072
510.0006345660.001269130.999365
520.001374310.002748630.998626
530.0009555120.001911020.999044
540.0007321230.001464250.999268
550.0006931750.001386350.999307
560.000495050.0009900990.999505
570.001493280.002986570.998507
580.001507170.003014340.998493
590.001803590.003607180.998196
600.001612830.003225660.998387
610.001349360.002698730.998651
620.001016470.002032940.998984
630.001272920.002545850.998727
640.002392650.00478530.997607
650.002013860.004027730.997986
660.001811920.003623850.998188
670.001320590.002641180.998679
680.001123060.002246120.998877
690.001306540.002613070.998693
700.0009776730.001955350.999022
710.0007403720.001480740.99926
720.0005296560.001059310.99947
730.0004895670.0009791340.99951
740.0005488140.001097630.999451
750.0004350030.0008700070.999565
760.0003624050.0007248110.999638
770.0002636250.0005272510.999736
780.0002185030.0004370060.999781
790.0001722970.0003445950.999828
800.0002417240.0004834480.999758
810.000180810.0003616190.999819
820.0001542960.0003085920.999846
830.0001120530.0002241060.999888
840.0008238910.001647780.999176
850.0006605680.001321140.999339
860.0005034660.001006930.999497
870.0003771390.0007542780.999623
880.0002803180.0005606350.99972
890.0003081350.000616270.999692
900.0002450180.0004900370.999755
910.0002041360.0004082730.999796
920.0006921990.00138440.999308
930.0005959340.001191870.999404
940.0006215140.001243030.999378
950.000887630.001775260.999112
960.0009020030.001804010.999098
970.001460090.002920170.99854
980.00113610.00227220.998864
990.0009584640.001916930.999042
1000.001327560.002655110.998672
1010.001100880.002201760.998899
1020.0009416740.001883350.999058
1030.0012290.0024580.998771
1040.001171640.002343280.998828
1050.001244170.002488350.998756
1060.001473010.002946010.998527
1070.001321030.002642070.998679
1080.005760210.01152040.99424
1090.01242990.02485980.98757
1100.01265030.02530060.98735
1110.0109630.02192610.989037
1120.009774810.01954960.990225
1130.03980460.07960920.960195
1140.03686120.07372250.963139
1150.079620.159240.92038
1160.1371360.2742720.862864
1170.1805910.3611810.819409
1180.1666430.3332860.833357
1190.2154010.4308020.784599
1200.3507080.7014160.649292
1210.3853290.7706580.614671
1220.3596920.7193840.640308
1230.4615930.9231870.538407
1240.4492570.8985140.550743
1250.4420120.8840230.557988
1260.4151030.8302060.584897
1270.4512180.9024360.548782
1280.4277380.8554770.572262
1290.5474470.9051060.452553
1300.5268990.9462030.473101
1310.5116780.9766440.488322
1320.5256550.9486890.474345
1330.520460.959080.47954
1340.5135840.9728330.486416
1350.4851240.9702470.514876
1360.4588720.9177430.541128
1370.5028080.9943850.497192
1380.5505070.8989850.449493
1390.629660.7406810.37034
1400.6352570.7294860.364743
1410.6192920.7614160.380708
1420.6618930.6762150.338107
1430.6507490.6985020.349251
1440.6905010.6189980.309499
1450.6965110.6069780.303489
1460.7331740.5336520.266826
1470.7088620.5822750.291138
1480.6868970.6262050.313103
1490.6673380.6653240.332662
1500.7178550.5642890.282145
1510.7291590.5416820.270841
1520.7310980.5378050.268902
1530.7738880.4522240.226112
1540.7832370.4335270.216763
1550.7647280.4705450.235272
1560.7426180.5147630.257382
1570.7982510.4034980.201749
1580.7879670.4240650.212033
1590.7690610.4618780.230939
1600.7514880.4970230.248512
1610.792890.4142190.20711
1620.7847140.4305720.215286
1630.7964230.4071540.203577
1640.7889610.4220780.211039
1650.8656830.2686330.134317
1660.8590930.2818140.140907
1670.8866060.2267890.113394
1680.8745780.2508450.125422
1690.8622190.2755620.137781
1700.852740.2945210.14726
1710.8432280.3135440.156772
1720.8653460.2693070.134654
1730.8502150.299570.149785
1740.8372710.3254570.162729
1750.8235110.3529780.176489
1760.8377440.3245120.162256
1770.8153230.3693540.184677
1780.860930.2781390.13907
1790.8472960.3054080.152704
1800.8942190.2115620.105781
1810.8791560.2416880.120844
1820.8640190.2719620.135981
1830.8991480.2017040.100852
1840.8871750.225650.112825
1850.8710060.2579870.128994
1860.8642530.2714940.135747
1870.8720430.2559150.127957
1880.8535380.2929240.146462
1890.8379120.3241770.162088
1900.8178010.3643970.182199
1910.8230320.3539360.176968
1920.8059910.3880170.194009
1930.8191650.361670.180835
1940.841490.3170210.15851
1950.820650.35870.17935
1960.7992540.4014920.200746
1970.7750480.4499050.224952
1980.7464270.5071460.253573
1990.7203380.5593250.279662
2000.7083220.5833560.291678
2010.7773280.4453450.222672
2020.7481090.5037820.251891
2030.7173740.5652520.282626
2040.6962280.6075450.303772
2050.665660.668680.33434
2060.63330.7334010.3667
2070.6370.7260010.363
2080.6072180.7855640.392782
2090.6546640.6906730.345336
2100.6458370.7083260.354163
2110.6273780.7452450.372622
2120.5975940.8048110.402406
2130.5700490.8599030.429951
2140.5335640.9328720.466436
2150.5197020.9605960.480298
2160.4850380.9700770.514962
2170.461020.922040.53898
2180.4993180.9986370.500682
2190.480740.9614790.51926
2200.454580.9091590.54542
2210.4759050.951810.524095
2220.5579880.8840240.442012
2230.5219140.9561720.478086
2240.4926410.9852830.507359
2250.5735670.8528660.426433
2260.5392540.9214920.460746
2270.5524290.8951420.447571
2280.5265270.9469470.473473
2290.5886390.8227210.411361
2300.6776360.6447270.322364
2310.7270410.5459170.272959
2320.7977790.4044430.202221
2330.7619020.4761950.238098
2340.7224220.5551560.277578
2350.7249550.550090.275045
2360.9212390.1575230.0787613
2370.9061690.1876610.0938306
2380.8825590.2348820.117441
2390.8635820.2728360.136418
2400.8358310.3283370.164169
2410.8005180.3989630.199482
2420.7778490.4443020.222151
2430.7425290.5149430.257471
2440.8808070.2383860.119193
2450.8547130.2905740.145287
2460.8250.350.175
2470.8333390.3333210.166661
2480.7980160.4039680.201984
2490.7920170.4159660.207983
2500.7453740.5092510.254626
2510.7008260.5983480.299174
2520.6507560.6984880.349244
2530.5999940.8000120.400006
2540.5512610.8974770.448739
2550.4858950.971790.514105
2560.4980540.9961070.501946
2570.6233880.7532240.376612
2580.7902920.4194150.209708
2590.732410.535180.26759
2600.8864480.2271050.113552
2610.9094040.1811930.0905963
2620.8726460.2547080.127354
2630.9548940.0902130.0451065
2640.9288360.1423270.0711636
2650.8948460.2103080.105154
2660.8412120.3175760.158788
2670.7996060.4007880.200394
2680.7098660.5802680.290134
2690.6295940.7408130.370406
2700.8404390.3191220.159561
2710.9023090.1953820.0976911
2720.821920.3561590.17808






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level650.243446NOK
5% type I error level790.29588NOK
10% type I error level850.318352NOK

\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 & 65 & 0.243446 & NOK \tabularnewline
5% type I error level & 79 & 0.29588 & NOK \tabularnewline
10% type I error level & 85 & 0.318352 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=268938&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]65[/C][C]0.243446[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]79[/C][C]0.29588[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]85[/C][C]0.318352[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=268938&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=268938&T=6

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

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level650.243446NOK
5% type I error level790.29588NOK
10% type I error level850.318352NOK


Figures (Output of Computation)

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Input Parameters & R Code

Parameters (Session):
Parameters (R input):
par1 = 3 ; 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')
}