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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 computationThu, 11 Dec 2014 12:51:31 +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/11/t141830235605lyvxx4b018h44.htm/, Retrieved Thu, 16 May 2024 10:53:22 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=265938, Retrieved Thu, 16 May 2024 10:53:22 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact57

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Multiple Regression] [paper MR2] [2014-12-11 12:51:31] [5a1a6480a94cc63423bd5720e139a09a] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
6.0 26 50
6.5 51 68
1.0 57 62
1.0 37 54
5.5 67 71
8.5 43 54
6.5 52 65
4.5 52 73
2.0 43 52
5.0 84 84
0.5 67 42
5.0 49 66
5.0 70 65
2.5 52 78
5.0 58 73
5.5 68 75
3.5 62 72
3.0 43 66
4.0 56 70
0.5 56 61
6.5 74 81
4.5 65 71
7.5 63 69
5.5 58 71
4.0 57 72
7.5 63 68
7.0 53 70
4.0 57 68
5.5 51 61
2.5 64 67
5.5 53 76
3.5 29 70
2.5 54 60
4.5 51 77
4.5 58 72
4.5 43 69
6.0 51 71
2.5 53 62
5.0 54 70
0.0 56 64
5.0 61 58
6.5 47 76
5.0 39 52
6.0 48 59
4.5 50 68
5.5 35 76
1.0 30 65
7.5 68 67
6.0 49 59
5.0 61 69
1.0 67 76
5.0 47 63
6.5 56 75
7.0 50 63
4.5 43 60
0.0 67 73
8.5 62 63
3.5 57 70
7.5 41 75
3.5 54 66
6.0 45 63
1.5 48 63
9.0 61 64
3.5 56 70
3.5 41 75
4.0 43 61
6.5 53 60
7.5 44 62
6.0 66 73
5.0 58 61
5.5 46 66
3.5 37 64
7.5 51 59
6.5 51 64
6.5 56 60
6.5 66 56
7.0 45 66
3.5 37 78
1.5 59 53
4.0 42 67
7.5 38 59
4.5 66 66
0.0 34 68
3.5 53 71
5.5 49 66
5.0 55 73
4.5 49 72
2.5 59 71
7.5 40 59
7.0 58 64
0.0 60 66
4.5 63 78
3.0 56 68
1.5 54 73
3.5 52 62
2.5 34 65
5.5 69 68
8.0 32 65
1.0 48 60
5.0 67 71
4.5 58 65
3.0 57 68
3.0 42 64
8.0 64 74
2.5 58 69
7.0 66 76
0.0 26 68
1.0 61 72
3.5 52 67
5.5 51 63
5.5 55 59
0.5 50 73
7.5 60 66
9 56 62
9.5 63 69
8.5 61 66
7 52 51
8 16 56
10 46 67
7 56 69
8.5 52 57
9 55 56
9.5 50 55
4 59 63
6 60 67
8 52 65
5.5 44 47
9.5 67 76
7.5 52 64
7 55 68
7.5 37 64
8 54 65
7 72 71
7 51 63
6 48 60
10 60 68
2.5 50 72
9 63 70
8 33 61
6 67 61
8.5 46 62
6 54 71
9 59 71
8 61 51
9 33 56
5.5 47 70
5 69 73
5.5 52 76
9 55 59
2 55 68
8.5 41 48
9 73 52
8.5 51 59
9 52 60
7.5 50 59
10 51 57
9 60 79
7.5 56 60
6 56 60
10.5 29 59
8.5 66 62
8 66 59
10 73 61
10.5 55 71
6.5 64 57
9.5 40 66
8.5 46 63
7.5 58 69
5 43 58
8 61 59
10 51 48
7 50 66
7.5 52 73
7.5 54 67
9.5 66 61
6 61 68
10 80 75
7 51 62
3 56 69
6 56 58
7 56 60
10 53 74
7 47 55
3.5 25 62
8 47 63
10 46 69
5.5 50 58
6 39 58
6.5 51 68
6.5 58 72
8.5 35 62
4 58 62
9.5 60 65
8 62 69
8.5 63 66
5.5 53 72
7 46 62
9 67 75
8 59 58
10 64 66
8 38 55
6 50 47
8 48 72
5 48 62
9 47 64
4.5 66 64
8.5 47 19
7 63 50
8.5 58 68
7.5 44 70
7.5 51 79
5 43 69
7 55 71
8 38 48
5.5 56 66
8.5 45 73
7.5 50 74
7 54 66
8 57 71
8.5 60 74
3.5 55 78
6.5 56 75
6.5 49 53
10.5 37 60
8.5 43 50
8 59 70
10 46 69
10 51 65
9.5 58 78
9 64 78
10 53 59
7.5 48 72
4.5 51 70
4.5 47 63
0.5 59 63
6.5 62 71
4.5 62 74
5.5 51 67
5 64 66
6 52 62
4 67 80
8 50 73
10.5 54 67
8.5 58 61
8 56 73
8.5 63 74
5.5 31 32
7 65 69
5 71 69
3.5 50 84
5 57 64
9 47 58
8.5 54 60
5 47 59
9.5 57 78
3 43 57
1.5 41 60
6 63 68
0.5 63 68
6.5 56 73
7.5 51 69
4.5 50 67
8 22 60
9 41 65
7.5 59 66
8.5 56 74
7 66 81
9.5 53 72
6.5 42 55
9.5 52 49
6 54 74
8 44 53
9.5 62 64
8 53 65
8 50 57
9 36 51
5 76 80

Tables (Output of Computation)





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

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 9 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265938&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]9 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265938&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265938&T=0

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


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

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






Multiple Linear Regression - Estimated Regression Equation
Ex[t] = + 7.92268 + 0.0201211AMS.I[t] -0.0432604AMS.E[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
Ex[t] =  +  7.92268 +  0.0201211AMS.I[t] -0.0432604AMS.E[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265938&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]Ex[t] =  +  7.92268 +  0.0201211AMS.I[t] -0.0432604AMS.E[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265938&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265938&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
Ex[t] = + 7.92268 + 0.0201211AMS.I[t] -0.0432604AMS.E[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)7.922681.273116.2231.81931e-099.09653e-10
AMS.I0.02012110.01568011.2830.2004970.100249
AMS.E-0.04326040.0195633-2.2110.02784040.0139202

\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) & 7.92268 & 1.27311 & 6.223 & 1.81931e-09 & 9.09653e-10 \tabularnewline
AMS.I & 0.0201211 & 0.0156801 & 1.283 & 0.200497 & 0.100249 \tabularnewline
AMS.E & -0.0432604 & 0.0195633 & -2.211 & 0.0278404 & 0.0139202 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265938&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]7.92268[/C][C]1.27311[/C][C]6.223[/C][C]1.81931e-09[/C][C]9.09653e-10[/C][/ROW]
[ROW][C]AMS.I[/C][C]0.0201211[/C][C]0.0156801[/C][C]1.283[/C][C]0.200497[/C][C]0.100249[/C][/ROW]
[ROW][C]AMS.E[/C][C]-0.0432604[/C][C]0.0195633[/C][C]-2.211[/C][C]0.0278404[/C][C]0.0139202[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265938&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265938&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)7.922681.273116.2231.81931e-099.09653e-10
AMS.I0.02012110.01568011.2830.2004970.100249
AMS.E-0.04326040.0195633-2.2110.02784040.0139202






Multiple Linear Regression - Regression Statistics
Multiple R0.136519
R-squared0.0186373
Adjusted R-squared0.0114741
F-TEST (value)2.60181
F-TEST (DF numerator)2
F-TEST (DF denominator)274
p-value0.0759705
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.51262
Sum Squared Residuals1729.84

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.136519 \tabularnewline
R-squared & 0.0186373 \tabularnewline
Adjusted R-squared & 0.0114741 \tabularnewline
F-TEST (value) & 2.60181 \tabularnewline
F-TEST (DF numerator) & 2 \tabularnewline
F-TEST (DF denominator) & 274 \tabularnewline
p-value & 0.0759705 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 2.51262 \tabularnewline
Sum Squared Residuals & 1729.84 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265938&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.136519[/C][/ROW]
[ROW][C]R-squared[/C][C]0.0186373[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.0114741[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]2.60181[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]2[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]274[/C][/ROW]
[ROW][C]p-value[/C][C]0.0759705[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]2.51262[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]1729.84[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265938&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265938&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 R0.136519
R-squared0.0186373
Adjusted R-squared0.0114741
F-TEST (value)2.60181
F-TEST (DF numerator)2
F-TEST (DF denominator)274
p-value0.0759705
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.51262
Sum Squared Residuals1729.84






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
166.28281-0.282805
26.56.007140.492855
316.38743-5.38743
416.3311-5.3311
55.56.1993-0.699301
68.56.451822.04818
76.56.157050.342953
84.55.81096-1.31096
926.53834-4.53834
1055.97897-0.978973
110.57.45385-6.95385
1256.05342-1.05342
1356.51923-1.51923
142.55.59466-3.09466
1555.93169-0.93169
165.56.04638-0.54638
173.56.05543-2.55543
1835.9327-2.9327
1946.02123-2.02123
200.56.41057-5.91057
216.55.907540.592456
224.56.15906-1.65906
237.56.205341.29466
245.56.01821-0.518211
2545.95483-1.95483
267.56.24861.2514
2775.960871.03913
2846.12787-2.12787
295.56.30997-0.809968
302.56.31198-3.81198
315.55.7013-0.201303
323.55.47796-1.97796
332.56.41359-3.91359
344.55.6178-1.1178
354.55.97495-1.47495
364.55.80292-1.30292
3765.877360.122637
382.56.30695-3.80695
3955.98099-0.980987
4006.28079-6.28079
4156.64096-1.64096
426.55.580580.919423
4356.45786-1.45786
4466.33613-0.336125
454.55.98702-1.48702
465.55.339120.160876
4715.71438-4.71438
487.56.392461.10754
4966.35625-0.356246
5056.16509-1.16509
5115.983-4.983
5256.14296-1.14296
536.55.804930.695073
5476.203330.796674
554.56.19226-1.69226
5606.11278-6.11278
578.56.444782.05522
583.56.04135-2.54135
597.55.503111.99689
603.56.15403-2.65403
6166.10272-0.10272
621.56.16308-4.66308
6396.38142.6186
643.56.02123-2.52123
653.55.50311-2.00311
6646.149-2.149
676.56.393470.10653
687.56.125861.37414
6966.09266-0.0926587
7056.45082-1.45082
715.55.99306-0.49306
723.55.89849-2.39849
737.56.396491.10351
746.56.180190.319814
756.56.453830.0461667
766.56.82809-0.328086
7775.972941.02706
783.55.29285-1.79285
791.56.81702-5.31702
8045.86932-1.86932
817.56.134911.36509
824.56.39548-1.89548
8305.66509-5.66509
843.55.91761-2.41761
855.56.05342-0.553423
8655.87133-0.871327
874.55.79386-1.29386
882.56.03833-3.53833
897.56.175161.32484
9076.321030.678966
9106.27476-6.27476
924.55.81599-1.31599
9336.10775-3.10775
941.55.85121-4.35121
953.56.28683-2.78683
962.55.79487-3.29487
975.56.36932-0.869324
9885.754632.24537
9916.29286-5.29286
10056.1993-1.1993
1014.56.27777-1.77777
10236.12787-3.12787
10335.9991-2.9991
10486.009161.99084
1052.56.10473-3.60473
10675.962881.03712
10705.50412-5.50412
10816.03531-5.03531
1093.56.07053-2.57053
1105.56.22345-0.723447
1115.56.47697-0.976973
1120.55.77072-5.27072
1137.56.274761.22524
11496.367312.63269
1159.56.205343.29466
1168.56.294882.20512
11776.762690.237307
11885.822032.17797
119105.94984.0502
12076.064490.93551
1218.56.503131.99687
12296.606752.39325
1239.56.549412.95059
12446.38442-2.38442
12566.23149-0.231495
12686.157051.84295
1275.56.77477-1.27477
1289.55.9833.517
1297.56.200311.29969
13076.087630.912371
1317.55.898491.60151
13286.197291.80271
13376.299910.700094
13476.223450.776553
13566.29286-0.292865
136106.188233.81177
1372.55.81398-3.31398
13896.162082.83792
13985.947792.05221
14066.6319-0.631905
1418.56.16612.3339
14265.937730.0622734
14396.038332.96167
14486.943781.05622
14596.164092.83591
1465.55.84014-0.340139
14756.15302-1.15302
1485.55.68118-0.181182
14996.476972.52303
15026.08763-4.08763
1518.56.671141.82886
15297.141971.85803
1538.56.396492.10351
15496.373352.62665
1557.56.376371.12363
156106.483013.51699
15795.712373.28763
1587.56.453831.04617
15966.45383-0.453833
16010.55.953824.54618
1618.56.568521.93148
16286.69831.3017
163106.752633.24737
16410.55.957854.54215
1656.56.74458-0.244583
1669.55.872333.62767
1678.56.122842.37716
1687.56.104731.39527
16956.27878-1.27878
17086.59771.4023
171106.872353.12765
17276.073540.926456
1737.55.810961.68904
1747.56.110771.38923
1759.56.611782.88822
17666.20836-0.208355
177106.287833.71217
17876.266710.733293
17936.06449-3.06449
18066.54035-0.540354
18176.453830.546167
182105.787824.21218
18376.489050.510954
1843.55.74356-2.24356
18586.142961.85704
186105.863284.13672
1875.56.41963-0.919628
18866.1983-0.198296
1896.56.007140.492855
1906.55.974950.52505
1918.55.944772.55523
19246.40755-2.40755
1939.56.318023.18198
19486.185221.81478
1958.56.335122.16488
1965.55.87435-0.374345
19776.16610.833898
19896.026262.97374
19986.600721.39928
200106.355243.64476
20186.307961.69204
20266.89549-0.895492
20385.773742.22626
20456.20634-1.20634
20596.09972.9003
2064.56.482-1.982
2078.58.046420.453579
20877.02728-0.027285
2098.56.147992.35201
2107.55.779781.72022
2117.55.531281.96872
21255.80292-0.802916
21375.957851.04215
21486.610781.38922
2155.56.19427-0.694271
2168.55.670122.82988
2177.55.727461.77254
21876.154030.845971
21985.998092.00191
2208.55.928672.57133
2213.55.65502-2.15502
2226.55.804930.695073
2236.56.61581-0.115809
22410.56.071534.42847
2258.56.624861.87514
22686.081591.91841
227105.863284.13672
228106.136933.86307
2299.55.715393.78461
23095.836113.16389
231106.436733.56327
2327.55.773741.72626
2334.55.92062-1.42062
2344.56.14296-1.64296
2350.56.38442-5.88442
2366.56.09870.401305
2374.55.96891-1.46891
2385.56.05041-0.550405
23956.35524-1.35524
24066.28683-0.286828
24145.80996-1.80996
24285.770722.22928
24310.56.110774.38923
2448.56.450822.04918
24585.891452.10855
2468.55.989042.51096
2475.57.1621-1.6621
24876.245580.754421
24956.36631-1.36631
2503.55.29486-1.79486
25156.30091-1.30091
25296.359262.64074
2538.56.413592.08641
25456.316-1.316
2559.55.695273.80473
25636.32204-3.32204
2571.56.15202-4.65202
25866.2486-0.248598
2590.56.2486-5.7486
2606.55.891450.608552
2617.55.963881.53612
2624.56.03028-1.53028
26385.769722.23028
26495.935723.06428
2657.56.254631.24537
2668.55.848192.65181
26775.746581.25342
2689.55.874353.62565
2696.56.388440.11156
2709.56.849212.65079
27165.807950.192055
27286.51521.4848
2739.56.401523.09848
27486.177171.82283
27586.462891.53711
27696.440762.55924
27755.99105-0.991047

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 6 & 6.28281 & -0.282805 \tabularnewline
2 & 6.5 & 6.00714 & 0.492855 \tabularnewline
3 & 1 & 6.38743 & -5.38743 \tabularnewline
4 & 1 & 6.3311 & -5.3311 \tabularnewline
5 & 5.5 & 6.1993 & -0.699301 \tabularnewline
6 & 8.5 & 6.45182 & 2.04818 \tabularnewline
7 & 6.5 & 6.15705 & 0.342953 \tabularnewline
8 & 4.5 & 5.81096 & -1.31096 \tabularnewline
9 & 2 & 6.53834 & -4.53834 \tabularnewline
10 & 5 & 5.97897 & -0.978973 \tabularnewline
11 & 0.5 & 7.45385 & -6.95385 \tabularnewline
12 & 5 & 6.05342 & -1.05342 \tabularnewline
13 & 5 & 6.51923 & -1.51923 \tabularnewline
14 & 2.5 & 5.59466 & -3.09466 \tabularnewline
15 & 5 & 5.93169 & -0.93169 \tabularnewline
16 & 5.5 & 6.04638 & -0.54638 \tabularnewline
17 & 3.5 & 6.05543 & -2.55543 \tabularnewline
18 & 3 & 5.9327 & -2.9327 \tabularnewline
19 & 4 & 6.02123 & -2.02123 \tabularnewline
20 & 0.5 & 6.41057 & -5.91057 \tabularnewline
21 & 6.5 & 5.90754 & 0.592456 \tabularnewline
22 & 4.5 & 6.15906 & -1.65906 \tabularnewline
23 & 7.5 & 6.20534 & 1.29466 \tabularnewline
24 & 5.5 & 6.01821 & -0.518211 \tabularnewline
25 & 4 & 5.95483 & -1.95483 \tabularnewline
26 & 7.5 & 6.2486 & 1.2514 \tabularnewline
27 & 7 & 5.96087 & 1.03913 \tabularnewline
28 & 4 & 6.12787 & -2.12787 \tabularnewline
29 & 5.5 & 6.30997 & -0.809968 \tabularnewline
30 & 2.5 & 6.31198 & -3.81198 \tabularnewline
31 & 5.5 & 5.7013 & -0.201303 \tabularnewline
32 & 3.5 & 5.47796 & -1.97796 \tabularnewline
33 & 2.5 & 6.41359 & -3.91359 \tabularnewline
34 & 4.5 & 5.6178 & -1.1178 \tabularnewline
35 & 4.5 & 5.97495 & -1.47495 \tabularnewline
36 & 4.5 & 5.80292 & -1.30292 \tabularnewline
37 & 6 & 5.87736 & 0.122637 \tabularnewline
38 & 2.5 & 6.30695 & -3.80695 \tabularnewline
39 & 5 & 5.98099 & -0.980987 \tabularnewline
40 & 0 & 6.28079 & -6.28079 \tabularnewline
41 & 5 & 6.64096 & -1.64096 \tabularnewline
42 & 6.5 & 5.58058 & 0.919423 \tabularnewline
43 & 5 & 6.45786 & -1.45786 \tabularnewline
44 & 6 & 6.33613 & -0.336125 \tabularnewline
45 & 4.5 & 5.98702 & -1.48702 \tabularnewline
46 & 5.5 & 5.33912 & 0.160876 \tabularnewline
47 & 1 & 5.71438 & -4.71438 \tabularnewline
48 & 7.5 & 6.39246 & 1.10754 \tabularnewline
49 & 6 & 6.35625 & -0.356246 \tabularnewline
50 & 5 & 6.16509 & -1.16509 \tabularnewline
51 & 1 & 5.983 & -4.983 \tabularnewline
52 & 5 & 6.14296 & -1.14296 \tabularnewline
53 & 6.5 & 5.80493 & 0.695073 \tabularnewline
54 & 7 & 6.20333 & 0.796674 \tabularnewline
55 & 4.5 & 6.19226 & -1.69226 \tabularnewline
56 & 0 & 6.11278 & -6.11278 \tabularnewline
57 & 8.5 & 6.44478 & 2.05522 \tabularnewline
58 & 3.5 & 6.04135 & -2.54135 \tabularnewline
59 & 7.5 & 5.50311 & 1.99689 \tabularnewline
60 & 3.5 & 6.15403 & -2.65403 \tabularnewline
61 & 6 & 6.10272 & -0.10272 \tabularnewline
62 & 1.5 & 6.16308 & -4.66308 \tabularnewline
63 & 9 & 6.3814 & 2.6186 \tabularnewline
64 & 3.5 & 6.02123 & -2.52123 \tabularnewline
65 & 3.5 & 5.50311 & -2.00311 \tabularnewline
66 & 4 & 6.149 & -2.149 \tabularnewline
67 & 6.5 & 6.39347 & 0.10653 \tabularnewline
68 & 7.5 & 6.12586 & 1.37414 \tabularnewline
69 & 6 & 6.09266 & -0.0926587 \tabularnewline
70 & 5 & 6.45082 & -1.45082 \tabularnewline
71 & 5.5 & 5.99306 & -0.49306 \tabularnewline
72 & 3.5 & 5.89849 & -2.39849 \tabularnewline
73 & 7.5 & 6.39649 & 1.10351 \tabularnewline
74 & 6.5 & 6.18019 & 0.319814 \tabularnewline
75 & 6.5 & 6.45383 & 0.0461667 \tabularnewline
76 & 6.5 & 6.82809 & -0.328086 \tabularnewline
77 & 7 & 5.97294 & 1.02706 \tabularnewline
78 & 3.5 & 5.29285 & -1.79285 \tabularnewline
79 & 1.5 & 6.81702 & -5.31702 \tabularnewline
80 & 4 & 5.86932 & -1.86932 \tabularnewline
81 & 7.5 & 6.13491 & 1.36509 \tabularnewline
82 & 4.5 & 6.39548 & -1.89548 \tabularnewline
83 & 0 & 5.66509 & -5.66509 \tabularnewline
84 & 3.5 & 5.91761 & -2.41761 \tabularnewline
85 & 5.5 & 6.05342 & -0.553423 \tabularnewline
86 & 5 & 5.87133 & -0.871327 \tabularnewline
87 & 4.5 & 5.79386 & -1.29386 \tabularnewline
88 & 2.5 & 6.03833 & -3.53833 \tabularnewline
89 & 7.5 & 6.17516 & 1.32484 \tabularnewline
90 & 7 & 6.32103 & 0.678966 \tabularnewline
91 & 0 & 6.27476 & -6.27476 \tabularnewline
92 & 4.5 & 5.81599 & -1.31599 \tabularnewline
93 & 3 & 6.10775 & -3.10775 \tabularnewline
94 & 1.5 & 5.85121 & -4.35121 \tabularnewline
95 & 3.5 & 6.28683 & -2.78683 \tabularnewline
96 & 2.5 & 5.79487 & -3.29487 \tabularnewline
97 & 5.5 & 6.36932 & -0.869324 \tabularnewline
98 & 8 & 5.75463 & 2.24537 \tabularnewline
99 & 1 & 6.29286 & -5.29286 \tabularnewline
100 & 5 & 6.1993 & -1.1993 \tabularnewline
101 & 4.5 & 6.27777 & -1.77777 \tabularnewline
102 & 3 & 6.12787 & -3.12787 \tabularnewline
103 & 3 & 5.9991 & -2.9991 \tabularnewline
104 & 8 & 6.00916 & 1.99084 \tabularnewline
105 & 2.5 & 6.10473 & -3.60473 \tabularnewline
106 & 7 & 5.96288 & 1.03712 \tabularnewline
107 & 0 & 5.50412 & -5.50412 \tabularnewline
108 & 1 & 6.03531 & -5.03531 \tabularnewline
109 & 3.5 & 6.07053 & -2.57053 \tabularnewline
110 & 5.5 & 6.22345 & -0.723447 \tabularnewline
111 & 5.5 & 6.47697 & -0.976973 \tabularnewline
112 & 0.5 & 5.77072 & -5.27072 \tabularnewline
113 & 7.5 & 6.27476 & 1.22524 \tabularnewline
114 & 9 & 6.36731 & 2.63269 \tabularnewline
115 & 9.5 & 6.20534 & 3.29466 \tabularnewline
116 & 8.5 & 6.29488 & 2.20512 \tabularnewline
117 & 7 & 6.76269 & 0.237307 \tabularnewline
118 & 8 & 5.82203 & 2.17797 \tabularnewline
119 & 10 & 5.9498 & 4.0502 \tabularnewline
120 & 7 & 6.06449 & 0.93551 \tabularnewline
121 & 8.5 & 6.50313 & 1.99687 \tabularnewline
122 & 9 & 6.60675 & 2.39325 \tabularnewline
123 & 9.5 & 6.54941 & 2.95059 \tabularnewline
124 & 4 & 6.38442 & -2.38442 \tabularnewline
125 & 6 & 6.23149 & -0.231495 \tabularnewline
126 & 8 & 6.15705 & 1.84295 \tabularnewline
127 & 5.5 & 6.77477 & -1.27477 \tabularnewline
128 & 9.5 & 5.983 & 3.517 \tabularnewline
129 & 7.5 & 6.20031 & 1.29969 \tabularnewline
130 & 7 & 6.08763 & 0.912371 \tabularnewline
131 & 7.5 & 5.89849 & 1.60151 \tabularnewline
132 & 8 & 6.19729 & 1.80271 \tabularnewline
133 & 7 & 6.29991 & 0.700094 \tabularnewline
134 & 7 & 6.22345 & 0.776553 \tabularnewline
135 & 6 & 6.29286 & -0.292865 \tabularnewline
136 & 10 & 6.18823 & 3.81177 \tabularnewline
137 & 2.5 & 5.81398 & -3.31398 \tabularnewline
138 & 9 & 6.16208 & 2.83792 \tabularnewline
139 & 8 & 5.94779 & 2.05221 \tabularnewline
140 & 6 & 6.6319 & -0.631905 \tabularnewline
141 & 8.5 & 6.1661 & 2.3339 \tabularnewline
142 & 6 & 5.93773 & 0.0622734 \tabularnewline
143 & 9 & 6.03833 & 2.96167 \tabularnewline
144 & 8 & 6.94378 & 1.05622 \tabularnewline
145 & 9 & 6.16409 & 2.83591 \tabularnewline
146 & 5.5 & 5.84014 & -0.340139 \tabularnewline
147 & 5 & 6.15302 & -1.15302 \tabularnewline
148 & 5.5 & 5.68118 & -0.181182 \tabularnewline
149 & 9 & 6.47697 & 2.52303 \tabularnewline
150 & 2 & 6.08763 & -4.08763 \tabularnewline
151 & 8.5 & 6.67114 & 1.82886 \tabularnewline
152 & 9 & 7.14197 & 1.85803 \tabularnewline
153 & 8.5 & 6.39649 & 2.10351 \tabularnewline
154 & 9 & 6.37335 & 2.62665 \tabularnewline
155 & 7.5 & 6.37637 & 1.12363 \tabularnewline
156 & 10 & 6.48301 & 3.51699 \tabularnewline
157 & 9 & 5.71237 & 3.28763 \tabularnewline
158 & 7.5 & 6.45383 & 1.04617 \tabularnewline
159 & 6 & 6.45383 & -0.453833 \tabularnewline
160 & 10.5 & 5.95382 & 4.54618 \tabularnewline
161 & 8.5 & 6.56852 & 1.93148 \tabularnewline
162 & 8 & 6.6983 & 1.3017 \tabularnewline
163 & 10 & 6.75263 & 3.24737 \tabularnewline
164 & 10.5 & 5.95785 & 4.54215 \tabularnewline
165 & 6.5 & 6.74458 & -0.244583 \tabularnewline
166 & 9.5 & 5.87233 & 3.62767 \tabularnewline
167 & 8.5 & 6.12284 & 2.37716 \tabularnewline
168 & 7.5 & 6.10473 & 1.39527 \tabularnewline
169 & 5 & 6.27878 & -1.27878 \tabularnewline
170 & 8 & 6.5977 & 1.4023 \tabularnewline
171 & 10 & 6.87235 & 3.12765 \tabularnewline
172 & 7 & 6.07354 & 0.926456 \tabularnewline
173 & 7.5 & 5.81096 & 1.68904 \tabularnewline
174 & 7.5 & 6.11077 & 1.38923 \tabularnewline
175 & 9.5 & 6.61178 & 2.88822 \tabularnewline
176 & 6 & 6.20836 & -0.208355 \tabularnewline
177 & 10 & 6.28783 & 3.71217 \tabularnewline
178 & 7 & 6.26671 & 0.733293 \tabularnewline
179 & 3 & 6.06449 & -3.06449 \tabularnewline
180 & 6 & 6.54035 & -0.540354 \tabularnewline
181 & 7 & 6.45383 & 0.546167 \tabularnewline
182 & 10 & 5.78782 & 4.21218 \tabularnewline
183 & 7 & 6.48905 & 0.510954 \tabularnewline
184 & 3.5 & 5.74356 & -2.24356 \tabularnewline
185 & 8 & 6.14296 & 1.85704 \tabularnewline
186 & 10 & 5.86328 & 4.13672 \tabularnewline
187 & 5.5 & 6.41963 & -0.919628 \tabularnewline
188 & 6 & 6.1983 & -0.198296 \tabularnewline
189 & 6.5 & 6.00714 & 0.492855 \tabularnewline
190 & 6.5 & 5.97495 & 0.52505 \tabularnewline
191 & 8.5 & 5.94477 & 2.55523 \tabularnewline
192 & 4 & 6.40755 & -2.40755 \tabularnewline
193 & 9.5 & 6.31802 & 3.18198 \tabularnewline
194 & 8 & 6.18522 & 1.81478 \tabularnewline
195 & 8.5 & 6.33512 & 2.16488 \tabularnewline
196 & 5.5 & 5.87435 & -0.374345 \tabularnewline
197 & 7 & 6.1661 & 0.833898 \tabularnewline
198 & 9 & 6.02626 & 2.97374 \tabularnewline
199 & 8 & 6.60072 & 1.39928 \tabularnewline
200 & 10 & 6.35524 & 3.64476 \tabularnewline
201 & 8 & 6.30796 & 1.69204 \tabularnewline
202 & 6 & 6.89549 & -0.895492 \tabularnewline
203 & 8 & 5.77374 & 2.22626 \tabularnewline
204 & 5 & 6.20634 & -1.20634 \tabularnewline
205 & 9 & 6.0997 & 2.9003 \tabularnewline
206 & 4.5 & 6.482 & -1.982 \tabularnewline
207 & 8.5 & 8.04642 & 0.453579 \tabularnewline
208 & 7 & 7.02728 & -0.027285 \tabularnewline
209 & 8.5 & 6.14799 & 2.35201 \tabularnewline
210 & 7.5 & 5.77978 & 1.72022 \tabularnewline
211 & 7.5 & 5.53128 & 1.96872 \tabularnewline
212 & 5 & 5.80292 & -0.802916 \tabularnewline
213 & 7 & 5.95785 & 1.04215 \tabularnewline
214 & 8 & 6.61078 & 1.38922 \tabularnewline
215 & 5.5 & 6.19427 & -0.694271 \tabularnewline
216 & 8.5 & 5.67012 & 2.82988 \tabularnewline
217 & 7.5 & 5.72746 & 1.77254 \tabularnewline
218 & 7 & 6.15403 & 0.845971 \tabularnewline
219 & 8 & 5.99809 & 2.00191 \tabularnewline
220 & 8.5 & 5.92867 & 2.57133 \tabularnewline
221 & 3.5 & 5.65502 & -2.15502 \tabularnewline
222 & 6.5 & 5.80493 & 0.695073 \tabularnewline
223 & 6.5 & 6.61581 & -0.115809 \tabularnewline
224 & 10.5 & 6.07153 & 4.42847 \tabularnewline
225 & 8.5 & 6.62486 & 1.87514 \tabularnewline
226 & 8 & 6.08159 & 1.91841 \tabularnewline
227 & 10 & 5.86328 & 4.13672 \tabularnewline
228 & 10 & 6.13693 & 3.86307 \tabularnewline
229 & 9.5 & 5.71539 & 3.78461 \tabularnewline
230 & 9 & 5.83611 & 3.16389 \tabularnewline
231 & 10 & 6.43673 & 3.56327 \tabularnewline
232 & 7.5 & 5.77374 & 1.72626 \tabularnewline
233 & 4.5 & 5.92062 & -1.42062 \tabularnewline
234 & 4.5 & 6.14296 & -1.64296 \tabularnewline
235 & 0.5 & 6.38442 & -5.88442 \tabularnewline
236 & 6.5 & 6.0987 & 0.401305 \tabularnewline
237 & 4.5 & 5.96891 & -1.46891 \tabularnewline
238 & 5.5 & 6.05041 & -0.550405 \tabularnewline
239 & 5 & 6.35524 & -1.35524 \tabularnewline
240 & 6 & 6.28683 & -0.286828 \tabularnewline
241 & 4 & 5.80996 & -1.80996 \tabularnewline
242 & 8 & 5.77072 & 2.22928 \tabularnewline
243 & 10.5 & 6.11077 & 4.38923 \tabularnewline
244 & 8.5 & 6.45082 & 2.04918 \tabularnewline
245 & 8 & 5.89145 & 2.10855 \tabularnewline
246 & 8.5 & 5.98904 & 2.51096 \tabularnewline
247 & 5.5 & 7.1621 & -1.6621 \tabularnewline
248 & 7 & 6.24558 & 0.754421 \tabularnewline
249 & 5 & 6.36631 & -1.36631 \tabularnewline
250 & 3.5 & 5.29486 & -1.79486 \tabularnewline
251 & 5 & 6.30091 & -1.30091 \tabularnewline
252 & 9 & 6.35926 & 2.64074 \tabularnewline
253 & 8.5 & 6.41359 & 2.08641 \tabularnewline
254 & 5 & 6.316 & -1.316 \tabularnewline
255 & 9.5 & 5.69527 & 3.80473 \tabularnewline
256 & 3 & 6.32204 & -3.32204 \tabularnewline
257 & 1.5 & 6.15202 & -4.65202 \tabularnewline
258 & 6 & 6.2486 & -0.248598 \tabularnewline
259 & 0.5 & 6.2486 & -5.7486 \tabularnewline
260 & 6.5 & 5.89145 & 0.608552 \tabularnewline
261 & 7.5 & 5.96388 & 1.53612 \tabularnewline
262 & 4.5 & 6.03028 & -1.53028 \tabularnewline
263 & 8 & 5.76972 & 2.23028 \tabularnewline
264 & 9 & 5.93572 & 3.06428 \tabularnewline
265 & 7.5 & 6.25463 & 1.24537 \tabularnewline
266 & 8.5 & 5.84819 & 2.65181 \tabularnewline
267 & 7 & 5.74658 & 1.25342 \tabularnewline
268 & 9.5 & 5.87435 & 3.62565 \tabularnewline
269 & 6.5 & 6.38844 & 0.11156 \tabularnewline
270 & 9.5 & 6.84921 & 2.65079 \tabularnewline
271 & 6 & 5.80795 & 0.192055 \tabularnewline
272 & 8 & 6.5152 & 1.4848 \tabularnewline
273 & 9.5 & 6.40152 & 3.09848 \tabularnewline
274 & 8 & 6.17717 & 1.82283 \tabularnewline
275 & 8 & 6.46289 & 1.53711 \tabularnewline
276 & 9 & 6.44076 & 2.55924 \tabularnewline
277 & 5 & 5.99105 & -0.991047 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265938&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]6[/C][C]6.28281[/C][C]-0.282805[/C][/ROW]
[ROW][C]2[/C][C]6.5[/C][C]6.00714[/C][C]0.492855[/C][/ROW]
[ROW][C]3[/C][C]1[/C][C]6.38743[/C][C]-5.38743[/C][/ROW]
[ROW][C]4[/C][C]1[/C][C]6.3311[/C][C]-5.3311[/C][/ROW]
[ROW][C]5[/C][C]5.5[/C][C]6.1993[/C][C]-0.699301[/C][/ROW]
[ROW][C]6[/C][C]8.5[/C][C]6.45182[/C][C]2.04818[/C][/ROW]
[ROW][C]7[/C][C]6.5[/C][C]6.15705[/C][C]0.342953[/C][/ROW]
[ROW][C]8[/C][C]4.5[/C][C]5.81096[/C][C]-1.31096[/C][/ROW]
[ROW][C]9[/C][C]2[/C][C]6.53834[/C][C]-4.53834[/C][/ROW]
[ROW][C]10[/C][C]5[/C][C]5.97897[/C][C]-0.978973[/C][/ROW]
[ROW][C]11[/C][C]0.5[/C][C]7.45385[/C][C]-6.95385[/C][/ROW]
[ROW][C]12[/C][C]5[/C][C]6.05342[/C][C]-1.05342[/C][/ROW]
[ROW][C]13[/C][C]5[/C][C]6.51923[/C][C]-1.51923[/C][/ROW]
[ROW][C]14[/C][C]2.5[/C][C]5.59466[/C][C]-3.09466[/C][/ROW]
[ROW][C]15[/C][C]5[/C][C]5.93169[/C][C]-0.93169[/C][/ROW]
[ROW][C]16[/C][C]5.5[/C][C]6.04638[/C][C]-0.54638[/C][/ROW]
[ROW][C]17[/C][C]3.5[/C][C]6.05543[/C][C]-2.55543[/C][/ROW]
[ROW][C]18[/C][C]3[/C][C]5.9327[/C][C]-2.9327[/C][/ROW]
[ROW][C]19[/C][C]4[/C][C]6.02123[/C][C]-2.02123[/C][/ROW]
[ROW][C]20[/C][C]0.5[/C][C]6.41057[/C][C]-5.91057[/C][/ROW]
[ROW][C]21[/C][C]6.5[/C][C]5.90754[/C][C]0.592456[/C][/ROW]
[ROW][C]22[/C][C]4.5[/C][C]6.15906[/C][C]-1.65906[/C][/ROW]
[ROW][C]23[/C][C]7.5[/C][C]6.20534[/C][C]1.29466[/C][/ROW]
[ROW][C]24[/C][C]5.5[/C][C]6.01821[/C][C]-0.518211[/C][/ROW]
[ROW][C]25[/C][C]4[/C][C]5.95483[/C][C]-1.95483[/C][/ROW]
[ROW][C]26[/C][C]7.5[/C][C]6.2486[/C][C]1.2514[/C][/ROW]
[ROW][C]27[/C][C]7[/C][C]5.96087[/C][C]1.03913[/C][/ROW]
[ROW][C]28[/C][C]4[/C][C]6.12787[/C][C]-2.12787[/C][/ROW]
[ROW][C]29[/C][C]5.5[/C][C]6.30997[/C][C]-0.809968[/C][/ROW]
[ROW][C]30[/C][C]2.5[/C][C]6.31198[/C][C]-3.81198[/C][/ROW]
[ROW][C]31[/C][C]5.5[/C][C]5.7013[/C][C]-0.201303[/C][/ROW]
[ROW][C]32[/C][C]3.5[/C][C]5.47796[/C][C]-1.97796[/C][/ROW]
[ROW][C]33[/C][C]2.5[/C][C]6.41359[/C][C]-3.91359[/C][/ROW]
[ROW][C]34[/C][C]4.5[/C][C]5.6178[/C][C]-1.1178[/C][/ROW]
[ROW][C]35[/C][C]4.5[/C][C]5.97495[/C][C]-1.47495[/C][/ROW]
[ROW][C]36[/C][C]4.5[/C][C]5.80292[/C][C]-1.30292[/C][/ROW]
[ROW][C]37[/C][C]6[/C][C]5.87736[/C][C]0.122637[/C][/ROW]
[ROW][C]38[/C][C]2.5[/C][C]6.30695[/C][C]-3.80695[/C][/ROW]
[ROW][C]39[/C][C]5[/C][C]5.98099[/C][C]-0.980987[/C][/ROW]
[ROW][C]40[/C][C]0[/C][C]6.28079[/C][C]-6.28079[/C][/ROW]
[ROW][C]41[/C][C]5[/C][C]6.64096[/C][C]-1.64096[/C][/ROW]
[ROW][C]42[/C][C]6.5[/C][C]5.58058[/C][C]0.919423[/C][/ROW]
[ROW][C]43[/C][C]5[/C][C]6.45786[/C][C]-1.45786[/C][/ROW]
[ROW][C]44[/C][C]6[/C][C]6.33613[/C][C]-0.336125[/C][/ROW]
[ROW][C]45[/C][C]4.5[/C][C]5.98702[/C][C]-1.48702[/C][/ROW]
[ROW][C]46[/C][C]5.5[/C][C]5.33912[/C][C]0.160876[/C][/ROW]
[ROW][C]47[/C][C]1[/C][C]5.71438[/C][C]-4.71438[/C][/ROW]
[ROW][C]48[/C][C]7.5[/C][C]6.39246[/C][C]1.10754[/C][/ROW]
[ROW][C]49[/C][C]6[/C][C]6.35625[/C][C]-0.356246[/C][/ROW]
[ROW][C]50[/C][C]5[/C][C]6.16509[/C][C]-1.16509[/C][/ROW]
[ROW][C]51[/C][C]1[/C][C]5.983[/C][C]-4.983[/C][/ROW]
[ROW][C]52[/C][C]5[/C][C]6.14296[/C][C]-1.14296[/C][/ROW]
[ROW][C]53[/C][C]6.5[/C][C]5.80493[/C][C]0.695073[/C][/ROW]
[ROW][C]54[/C][C]7[/C][C]6.20333[/C][C]0.796674[/C][/ROW]
[ROW][C]55[/C][C]4.5[/C][C]6.19226[/C][C]-1.69226[/C][/ROW]
[ROW][C]56[/C][C]0[/C][C]6.11278[/C][C]-6.11278[/C][/ROW]
[ROW][C]57[/C][C]8.5[/C][C]6.44478[/C][C]2.05522[/C][/ROW]
[ROW][C]58[/C][C]3.5[/C][C]6.04135[/C][C]-2.54135[/C][/ROW]
[ROW][C]59[/C][C]7.5[/C][C]5.50311[/C][C]1.99689[/C][/ROW]
[ROW][C]60[/C][C]3.5[/C][C]6.15403[/C][C]-2.65403[/C][/ROW]
[ROW][C]61[/C][C]6[/C][C]6.10272[/C][C]-0.10272[/C][/ROW]
[ROW][C]62[/C][C]1.5[/C][C]6.16308[/C][C]-4.66308[/C][/ROW]
[ROW][C]63[/C][C]9[/C][C]6.3814[/C][C]2.6186[/C][/ROW]
[ROW][C]64[/C][C]3.5[/C][C]6.02123[/C][C]-2.52123[/C][/ROW]
[ROW][C]65[/C][C]3.5[/C][C]5.50311[/C][C]-2.00311[/C][/ROW]
[ROW][C]66[/C][C]4[/C][C]6.149[/C][C]-2.149[/C][/ROW]
[ROW][C]67[/C][C]6.5[/C][C]6.39347[/C][C]0.10653[/C][/ROW]
[ROW][C]68[/C][C]7.5[/C][C]6.12586[/C][C]1.37414[/C][/ROW]
[ROW][C]69[/C][C]6[/C][C]6.09266[/C][C]-0.0926587[/C][/ROW]
[ROW][C]70[/C][C]5[/C][C]6.45082[/C][C]-1.45082[/C][/ROW]
[ROW][C]71[/C][C]5.5[/C][C]5.99306[/C][C]-0.49306[/C][/ROW]
[ROW][C]72[/C][C]3.5[/C][C]5.89849[/C][C]-2.39849[/C][/ROW]
[ROW][C]73[/C][C]7.5[/C][C]6.39649[/C][C]1.10351[/C][/ROW]
[ROW][C]74[/C][C]6.5[/C][C]6.18019[/C][C]0.319814[/C][/ROW]
[ROW][C]75[/C][C]6.5[/C][C]6.45383[/C][C]0.0461667[/C][/ROW]
[ROW][C]76[/C][C]6.5[/C][C]6.82809[/C][C]-0.328086[/C][/ROW]
[ROW][C]77[/C][C]7[/C][C]5.97294[/C][C]1.02706[/C][/ROW]
[ROW][C]78[/C][C]3.5[/C][C]5.29285[/C][C]-1.79285[/C][/ROW]
[ROW][C]79[/C][C]1.5[/C][C]6.81702[/C][C]-5.31702[/C][/ROW]
[ROW][C]80[/C][C]4[/C][C]5.86932[/C][C]-1.86932[/C][/ROW]
[ROW][C]81[/C][C]7.5[/C][C]6.13491[/C][C]1.36509[/C][/ROW]
[ROW][C]82[/C][C]4.5[/C][C]6.39548[/C][C]-1.89548[/C][/ROW]
[ROW][C]83[/C][C]0[/C][C]5.66509[/C][C]-5.66509[/C][/ROW]
[ROW][C]84[/C][C]3.5[/C][C]5.91761[/C][C]-2.41761[/C][/ROW]
[ROW][C]85[/C][C]5.5[/C][C]6.05342[/C][C]-0.553423[/C][/ROW]
[ROW][C]86[/C][C]5[/C][C]5.87133[/C][C]-0.871327[/C][/ROW]
[ROW][C]87[/C][C]4.5[/C][C]5.79386[/C][C]-1.29386[/C][/ROW]
[ROW][C]88[/C][C]2.5[/C][C]6.03833[/C][C]-3.53833[/C][/ROW]
[ROW][C]89[/C][C]7.5[/C][C]6.17516[/C][C]1.32484[/C][/ROW]
[ROW][C]90[/C][C]7[/C][C]6.32103[/C][C]0.678966[/C][/ROW]
[ROW][C]91[/C][C]0[/C][C]6.27476[/C][C]-6.27476[/C][/ROW]
[ROW][C]92[/C][C]4.5[/C][C]5.81599[/C][C]-1.31599[/C][/ROW]
[ROW][C]93[/C][C]3[/C][C]6.10775[/C][C]-3.10775[/C][/ROW]
[ROW][C]94[/C][C]1.5[/C][C]5.85121[/C][C]-4.35121[/C][/ROW]
[ROW][C]95[/C][C]3.5[/C][C]6.28683[/C][C]-2.78683[/C][/ROW]
[ROW][C]96[/C][C]2.5[/C][C]5.79487[/C][C]-3.29487[/C][/ROW]
[ROW][C]97[/C][C]5.5[/C][C]6.36932[/C][C]-0.869324[/C][/ROW]
[ROW][C]98[/C][C]8[/C][C]5.75463[/C][C]2.24537[/C][/ROW]
[ROW][C]99[/C][C]1[/C][C]6.29286[/C][C]-5.29286[/C][/ROW]
[ROW][C]100[/C][C]5[/C][C]6.1993[/C][C]-1.1993[/C][/ROW]
[ROW][C]101[/C][C]4.5[/C][C]6.27777[/C][C]-1.77777[/C][/ROW]
[ROW][C]102[/C][C]3[/C][C]6.12787[/C][C]-3.12787[/C][/ROW]
[ROW][C]103[/C][C]3[/C][C]5.9991[/C][C]-2.9991[/C][/ROW]
[ROW][C]104[/C][C]8[/C][C]6.00916[/C][C]1.99084[/C][/ROW]
[ROW][C]105[/C][C]2.5[/C][C]6.10473[/C][C]-3.60473[/C][/ROW]
[ROW][C]106[/C][C]7[/C][C]5.96288[/C][C]1.03712[/C][/ROW]
[ROW][C]107[/C][C]0[/C][C]5.50412[/C][C]-5.50412[/C][/ROW]
[ROW][C]108[/C][C]1[/C][C]6.03531[/C][C]-5.03531[/C][/ROW]
[ROW][C]109[/C][C]3.5[/C][C]6.07053[/C][C]-2.57053[/C][/ROW]
[ROW][C]110[/C][C]5.5[/C][C]6.22345[/C][C]-0.723447[/C][/ROW]
[ROW][C]111[/C][C]5.5[/C][C]6.47697[/C][C]-0.976973[/C][/ROW]
[ROW][C]112[/C][C]0.5[/C][C]5.77072[/C][C]-5.27072[/C][/ROW]
[ROW][C]113[/C][C]7.5[/C][C]6.27476[/C][C]1.22524[/C][/ROW]
[ROW][C]114[/C][C]9[/C][C]6.36731[/C][C]2.63269[/C][/ROW]
[ROW][C]115[/C][C]9.5[/C][C]6.20534[/C][C]3.29466[/C][/ROW]
[ROW][C]116[/C][C]8.5[/C][C]6.29488[/C][C]2.20512[/C][/ROW]
[ROW][C]117[/C][C]7[/C][C]6.76269[/C][C]0.237307[/C][/ROW]
[ROW][C]118[/C][C]8[/C][C]5.82203[/C][C]2.17797[/C][/ROW]
[ROW][C]119[/C][C]10[/C][C]5.9498[/C][C]4.0502[/C][/ROW]
[ROW][C]120[/C][C]7[/C][C]6.06449[/C][C]0.93551[/C][/ROW]
[ROW][C]121[/C][C]8.5[/C][C]6.50313[/C][C]1.99687[/C][/ROW]
[ROW][C]122[/C][C]9[/C][C]6.60675[/C][C]2.39325[/C][/ROW]
[ROW][C]123[/C][C]9.5[/C][C]6.54941[/C][C]2.95059[/C][/ROW]
[ROW][C]124[/C][C]4[/C][C]6.38442[/C][C]-2.38442[/C][/ROW]
[ROW][C]125[/C][C]6[/C][C]6.23149[/C][C]-0.231495[/C][/ROW]
[ROW][C]126[/C][C]8[/C][C]6.15705[/C][C]1.84295[/C][/ROW]
[ROW][C]127[/C][C]5.5[/C][C]6.77477[/C][C]-1.27477[/C][/ROW]
[ROW][C]128[/C][C]9.5[/C][C]5.983[/C][C]3.517[/C][/ROW]
[ROW][C]129[/C][C]7.5[/C][C]6.20031[/C][C]1.29969[/C][/ROW]
[ROW][C]130[/C][C]7[/C][C]6.08763[/C][C]0.912371[/C][/ROW]
[ROW][C]131[/C][C]7.5[/C][C]5.89849[/C][C]1.60151[/C][/ROW]
[ROW][C]132[/C][C]8[/C][C]6.19729[/C][C]1.80271[/C][/ROW]
[ROW][C]133[/C][C]7[/C][C]6.29991[/C][C]0.700094[/C][/ROW]
[ROW][C]134[/C][C]7[/C][C]6.22345[/C][C]0.776553[/C][/ROW]
[ROW][C]135[/C][C]6[/C][C]6.29286[/C][C]-0.292865[/C][/ROW]
[ROW][C]136[/C][C]10[/C][C]6.18823[/C][C]3.81177[/C][/ROW]
[ROW][C]137[/C][C]2.5[/C][C]5.81398[/C][C]-3.31398[/C][/ROW]
[ROW][C]138[/C][C]9[/C][C]6.16208[/C][C]2.83792[/C][/ROW]
[ROW][C]139[/C][C]8[/C][C]5.94779[/C][C]2.05221[/C][/ROW]
[ROW][C]140[/C][C]6[/C][C]6.6319[/C][C]-0.631905[/C][/ROW]
[ROW][C]141[/C][C]8.5[/C][C]6.1661[/C][C]2.3339[/C][/ROW]
[ROW][C]142[/C][C]6[/C][C]5.93773[/C][C]0.0622734[/C][/ROW]
[ROW][C]143[/C][C]9[/C][C]6.03833[/C][C]2.96167[/C][/ROW]
[ROW][C]144[/C][C]8[/C][C]6.94378[/C][C]1.05622[/C][/ROW]
[ROW][C]145[/C][C]9[/C][C]6.16409[/C][C]2.83591[/C][/ROW]
[ROW][C]146[/C][C]5.5[/C][C]5.84014[/C][C]-0.340139[/C][/ROW]
[ROW][C]147[/C][C]5[/C][C]6.15302[/C][C]-1.15302[/C][/ROW]
[ROW][C]148[/C][C]5.5[/C][C]5.68118[/C][C]-0.181182[/C][/ROW]
[ROW][C]149[/C][C]9[/C][C]6.47697[/C][C]2.52303[/C][/ROW]
[ROW][C]150[/C][C]2[/C][C]6.08763[/C][C]-4.08763[/C][/ROW]
[ROW][C]151[/C][C]8.5[/C][C]6.67114[/C][C]1.82886[/C][/ROW]
[ROW][C]152[/C][C]9[/C][C]7.14197[/C][C]1.85803[/C][/ROW]
[ROW][C]153[/C][C]8.5[/C][C]6.39649[/C][C]2.10351[/C][/ROW]
[ROW][C]154[/C][C]9[/C][C]6.37335[/C][C]2.62665[/C][/ROW]
[ROW][C]155[/C][C]7.5[/C][C]6.37637[/C][C]1.12363[/C][/ROW]
[ROW][C]156[/C][C]10[/C][C]6.48301[/C][C]3.51699[/C][/ROW]
[ROW][C]157[/C][C]9[/C][C]5.71237[/C][C]3.28763[/C][/ROW]
[ROW][C]158[/C][C]7.5[/C][C]6.45383[/C][C]1.04617[/C][/ROW]
[ROW][C]159[/C][C]6[/C][C]6.45383[/C][C]-0.453833[/C][/ROW]
[ROW][C]160[/C][C]10.5[/C][C]5.95382[/C][C]4.54618[/C][/ROW]
[ROW][C]161[/C][C]8.5[/C][C]6.56852[/C][C]1.93148[/C][/ROW]
[ROW][C]162[/C][C]8[/C][C]6.6983[/C][C]1.3017[/C][/ROW]
[ROW][C]163[/C][C]10[/C][C]6.75263[/C][C]3.24737[/C][/ROW]
[ROW][C]164[/C][C]10.5[/C][C]5.95785[/C][C]4.54215[/C][/ROW]
[ROW][C]165[/C][C]6.5[/C][C]6.74458[/C][C]-0.244583[/C][/ROW]
[ROW][C]166[/C][C]9.5[/C][C]5.87233[/C][C]3.62767[/C][/ROW]
[ROW][C]167[/C][C]8.5[/C][C]6.12284[/C][C]2.37716[/C][/ROW]
[ROW][C]168[/C][C]7.5[/C][C]6.10473[/C][C]1.39527[/C][/ROW]
[ROW][C]169[/C][C]5[/C][C]6.27878[/C][C]-1.27878[/C][/ROW]
[ROW][C]170[/C][C]8[/C][C]6.5977[/C][C]1.4023[/C][/ROW]
[ROW][C]171[/C][C]10[/C][C]6.87235[/C][C]3.12765[/C][/ROW]
[ROW][C]172[/C][C]7[/C][C]6.07354[/C][C]0.926456[/C][/ROW]
[ROW][C]173[/C][C]7.5[/C][C]5.81096[/C][C]1.68904[/C][/ROW]
[ROW][C]174[/C][C]7.5[/C][C]6.11077[/C][C]1.38923[/C][/ROW]
[ROW][C]175[/C][C]9.5[/C][C]6.61178[/C][C]2.88822[/C][/ROW]
[ROW][C]176[/C][C]6[/C][C]6.20836[/C][C]-0.208355[/C][/ROW]
[ROW][C]177[/C][C]10[/C][C]6.28783[/C][C]3.71217[/C][/ROW]
[ROW][C]178[/C][C]7[/C][C]6.26671[/C][C]0.733293[/C][/ROW]
[ROW][C]179[/C][C]3[/C][C]6.06449[/C][C]-3.06449[/C][/ROW]
[ROW][C]180[/C][C]6[/C][C]6.54035[/C][C]-0.540354[/C][/ROW]
[ROW][C]181[/C][C]7[/C][C]6.45383[/C][C]0.546167[/C][/ROW]
[ROW][C]182[/C][C]10[/C][C]5.78782[/C][C]4.21218[/C][/ROW]
[ROW][C]183[/C][C]7[/C][C]6.48905[/C][C]0.510954[/C][/ROW]
[ROW][C]184[/C][C]3.5[/C][C]5.74356[/C][C]-2.24356[/C][/ROW]
[ROW][C]185[/C][C]8[/C][C]6.14296[/C][C]1.85704[/C][/ROW]
[ROW][C]186[/C][C]10[/C][C]5.86328[/C][C]4.13672[/C][/ROW]
[ROW][C]187[/C][C]5.5[/C][C]6.41963[/C][C]-0.919628[/C][/ROW]
[ROW][C]188[/C][C]6[/C][C]6.1983[/C][C]-0.198296[/C][/ROW]
[ROW][C]189[/C][C]6.5[/C][C]6.00714[/C][C]0.492855[/C][/ROW]
[ROW][C]190[/C][C]6.5[/C][C]5.97495[/C][C]0.52505[/C][/ROW]
[ROW][C]191[/C][C]8.5[/C][C]5.94477[/C][C]2.55523[/C][/ROW]
[ROW][C]192[/C][C]4[/C][C]6.40755[/C][C]-2.40755[/C][/ROW]
[ROW][C]193[/C][C]9.5[/C][C]6.31802[/C][C]3.18198[/C][/ROW]
[ROW][C]194[/C][C]8[/C][C]6.18522[/C][C]1.81478[/C][/ROW]
[ROW][C]195[/C][C]8.5[/C][C]6.33512[/C][C]2.16488[/C][/ROW]
[ROW][C]196[/C][C]5.5[/C][C]5.87435[/C][C]-0.374345[/C][/ROW]
[ROW][C]197[/C][C]7[/C][C]6.1661[/C][C]0.833898[/C][/ROW]
[ROW][C]198[/C][C]9[/C][C]6.02626[/C][C]2.97374[/C][/ROW]
[ROW][C]199[/C][C]8[/C][C]6.60072[/C][C]1.39928[/C][/ROW]
[ROW][C]200[/C][C]10[/C][C]6.35524[/C][C]3.64476[/C][/ROW]
[ROW][C]201[/C][C]8[/C][C]6.30796[/C][C]1.69204[/C][/ROW]
[ROW][C]202[/C][C]6[/C][C]6.89549[/C][C]-0.895492[/C][/ROW]
[ROW][C]203[/C][C]8[/C][C]5.77374[/C][C]2.22626[/C][/ROW]
[ROW][C]204[/C][C]5[/C][C]6.20634[/C][C]-1.20634[/C][/ROW]
[ROW][C]205[/C][C]9[/C][C]6.0997[/C][C]2.9003[/C][/ROW]
[ROW][C]206[/C][C]4.5[/C][C]6.482[/C][C]-1.982[/C][/ROW]
[ROW][C]207[/C][C]8.5[/C][C]8.04642[/C][C]0.453579[/C][/ROW]
[ROW][C]208[/C][C]7[/C][C]7.02728[/C][C]-0.027285[/C][/ROW]
[ROW][C]209[/C][C]8.5[/C][C]6.14799[/C][C]2.35201[/C][/ROW]
[ROW][C]210[/C][C]7.5[/C][C]5.77978[/C][C]1.72022[/C][/ROW]
[ROW][C]211[/C][C]7.5[/C][C]5.53128[/C][C]1.96872[/C][/ROW]
[ROW][C]212[/C][C]5[/C][C]5.80292[/C][C]-0.802916[/C][/ROW]
[ROW][C]213[/C][C]7[/C][C]5.95785[/C][C]1.04215[/C][/ROW]
[ROW][C]214[/C][C]8[/C][C]6.61078[/C][C]1.38922[/C][/ROW]
[ROW][C]215[/C][C]5.5[/C][C]6.19427[/C][C]-0.694271[/C][/ROW]
[ROW][C]216[/C][C]8.5[/C][C]5.67012[/C][C]2.82988[/C][/ROW]
[ROW][C]217[/C][C]7.5[/C][C]5.72746[/C][C]1.77254[/C][/ROW]
[ROW][C]218[/C][C]7[/C][C]6.15403[/C][C]0.845971[/C][/ROW]
[ROW][C]219[/C][C]8[/C][C]5.99809[/C][C]2.00191[/C][/ROW]
[ROW][C]220[/C][C]8.5[/C][C]5.92867[/C][C]2.57133[/C][/ROW]
[ROW][C]221[/C][C]3.5[/C][C]5.65502[/C][C]-2.15502[/C][/ROW]
[ROW][C]222[/C][C]6.5[/C][C]5.80493[/C][C]0.695073[/C][/ROW]
[ROW][C]223[/C][C]6.5[/C][C]6.61581[/C][C]-0.115809[/C][/ROW]
[ROW][C]224[/C][C]10.5[/C][C]6.07153[/C][C]4.42847[/C][/ROW]
[ROW][C]225[/C][C]8.5[/C][C]6.62486[/C][C]1.87514[/C][/ROW]
[ROW][C]226[/C][C]8[/C][C]6.08159[/C][C]1.91841[/C][/ROW]
[ROW][C]227[/C][C]10[/C][C]5.86328[/C][C]4.13672[/C][/ROW]
[ROW][C]228[/C][C]10[/C][C]6.13693[/C][C]3.86307[/C][/ROW]
[ROW][C]229[/C][C]9.5[/C][C]5.71539[/C][C]3.78461[/C][/ROW]
[ROW][C]230[/C][C]9[/C][C]5.83611[/C][C]3.16389[/C][/ROW]
[ROW][C]231[/C][C]10[/C][C]6.43673[/C][C]3.56327[/C][/ROW]
[ROW][C]232[/C][C]7.5[/C][C]5.77374[/C][C]1.72626[/C][/ROW]
[ROW][C]233[/C][C]4.5[/C][C]5.92062[/C][C]-1.42062[/C][/ROW]
[ROW][C]234[/C][C]4.5[/C][C]6.14296[/C][C]-1.64296[/C][/ROW]
[ROW][C]235[/C][C]0.5[/C][C]6.38442[/C][C]-5.88442[/C][/ROW]
[ROW][C]236[/C][C]6.5[/C][C]6.0987[/C][C]0.401305[/C][/ROW]
[ROW][C]237[/C][C]4.5[/C][C]5.96891[/C][C]-1.46891[/C][/ROW]
[ROW][C]238[/C][C]5.5[/C][C]6.05041[/C][C]-0.550405[/C][/ROW]
[ROW][C]239[/C][C]5[/C][C]6.35524[/C][C]-1.35524[/C][/ROW]
[ROW][C]240[/C][C]6[/C][C]6.28683[/C][C]-0.286828[/C][/ROW]
[ROW][C]241[/C][C]4[/C][C]5.80996[/C][C]-1.80996[/C][/ROW]
[ROW][C]242[/C][C]8[/C][C]5.77072[/C][C]2.22928[/C][/ROW]
[ROW][C]243[/C][C]10.5[/C][C]6.11077[/C][C]4.38923[/C][/ROW]
[ROW][C]244[/C][C]8.5[/C][C]6.45082[/C][C]2.04918[/C][/ROW]
[ROW][C]245[/C][C]8[/C][C]5.89145[/C][C]2.10855[/C][/ROW]
[ROW][C]246[/C][C]8.5[/C][C]5.98904[/C][C]2.51096[/C][/ROW]
[ROW][C]247[/C][C]5.5[/C][C]7.1621[/C][C]-1.6621[/C][/ROW]
[ROW][C]248[/C][C]7[/C][C]6.24558[/C][C]0.754421[/C][/ROW]
[ROW][C]249[/C][C]5[/C][C]6.36631[/C][C]-1.36631[/C][/ROW]
[ROW][C]250[/C][C]3.5[/C][C]5.29486[/C][C]-1.79486[/C][/ROW]
[ROW][C]251[/C][C]5[/C][C]6.30091[/C][C]-1.30091[/C][/ROW]
[ROW][C]252[/C][C]9[/C][C]6.35926[/C][C]2.64074[/C][/ROW]
[ROW][C]253[/C][C]8.5[/C][C]6.41359[/C][C]2.08641[/C][/ROW]
[ROW][C]254[/C][C]5[/C][C]6.316[/C][C]-1.316[/C][/ROW]
[ROW][C]255[/C][C]9.5[/C][C]5.69527[/C][C]3.80473[/C][/ROW]
[ROW][C]256[/C][C]3[/C][C]6.32204[/C][C]-3.32204[/C][/ROW]
[ROW][C]257[/C][C]1.5[/C][C]6.15202[/C][C]-4.65202[/C][/ROW]
[ROW][C]258[/C][C]6[/C][C]6.2486[/C][C]-0.248598[/C][/ROW]
[ROW][C]259[/C][C]0.5[/C][C]6.2486[/C][C]-5.7486[/C][/ROW]
[ROW][C]260[/C][C]6.5[/C][C]5.89145[/C][C]0.608552[/C][/ROW]
[ROW][C]261[/C][C]7.5[/C][C]5.96388[/C][C]1.53612[/C][/ROW]
[ROW][C]262[/C][C]4.5[/C][C]6.03028[/C][C]-1.53028[/C][/ROW]
[ROW][C]263[/C][C]8[/C][C]5.76972[/C][C]2.23028[/C][/ROW]
[ROW][C]264[/C][C]9[/C][C]5.93572[/C][C]3.06428[/C][/ROW]
[ROW][C]265[/C][C]7.5[/C][C]6.25463[/C][C]1.24537[/C][/ROW]
[ROW][C]266[/C][C]8.5[/C][C]5.84819[/C][C]2.65181[/C][/ROW]
[ROW][C]267[/C][C]7[/C][C]5.74658[/C][C]1.25342[/C][/ROW]
[ROW][C]268[/C][C]9.5[/C][C]5.87435[/C][C]3.62565[/C][/ROW]
[ROW][C]269[/C][C]6.5[/C][C]6.38844[/C][C]0.11156[/C][/ROW]
[ROW][C]270[/C][C]9.5[/C][C]6.84921[/C][C]2.65079[/C][/ROW]
[ROW][C]271[/C][C]6[/C][C]5.80795[/C][C]0.192055[/C][/ROW]
[ROW][C]272[/C][C]8[/C][C]6.5152[/C][C]1.4848[/C][/ROW]
[ROW][C]273[/C][C]9.5[/C][C]6.40152[/C][C]3.09848[/C][/ROW]
[ROW][C]274[/C][C]8[/C][C]6.17717[/C][C]1.82283[/C][/ROW]
[ROW][C]275[/C][C]8[/C][C]6.46289[/C][C]1.53711[/C][/ROW]
[ROW][C]276[/C][C]9[/C][C]6.44076[/C][C]2.55924[/C][/ROW]
[ROW][C]277[/C][C]5[/C][C]5.99105[/C][C]-0.991047[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265938&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265938&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
166.28281-0.282805
26.56.007140.492855
316.38743-5.38743
416.3311-5.3311
55.56.1993-0.699301
68.56.451822.04818
76.56.157050.342953
84.55.81096-1.31096
926.53834-4.53834
1055.97897-0.978973
110.57.45385-6.95385
1256.05342-1.05342
1356.51923-1.51923
142.55.59466-3.09466
1555.93169-0.93169
165.56.04638-0.54638
173.56.05543-2.55543
1835.9327-2.9327
1946.02123-2.02123
200.56.41057-5.91057
216.55.907540.592456
224.56.15906-1.65906
237.56.205341.29466
245.56.01821-0.518211
2545.95483-1.95483
267.56.24861.2514
2775.960871.03913
2846.12787-2.12787
295.56.30997-0.809968
302.56.31198-3.81198
315.55.7013-0.201303
323.55.47796-1.97796
332.56.41359-3.91359
344.55.6178-1.1178
354.55.97495-1.47495
364.55.80292-1.30292
3765.877360.122637
382.56.30695-3.80695
3955.98099-0.980987
4006.28079-6.28079
4156.64096-1.64096
426.55.580580.919423
4356.45786-1.45786
4466.33613-0.336125
454.55.98702-1.48702
465.55.339120.160876
4715.71438-4.71438
487.56.392461.10754
4966.35625-0.356246
5056.16509-1.16509
5115.983-4.983
5256.14296-1.14296
536.55.804930.695073
5476.203330.796674
554.56.19226-1.69226
5606.11278-6.11278
578.56.444782.05522
583.56.04135-2.54135
597.55.503111.99689
603.56.15403-2.65403
6166.10272-0.10272
621.56.16308-4.66308
6396.38142.6186
643.56.02123-2.52123
653.55.50311-2.00311
6646.149-2.149
676.56.393470.10653
687.56.125861.37414
6966.09266-0.0926587
7056.45082-1.45082
715.55.99306-0.49306
723.55.89849-2.39849
737.56.396491.10351
746.56.180190.319814
756.56.453830.0461667
766.56.82809-0.328086
7775.972941.02706
783.55.29285-1.79285
791.56.81702-5.31702
8045.86932-1.86932
817.56.134911.36509
824.56.39548-1.89548
8305.66509-5.66509
843.55.91761-2.41761
855.56.05342-0.553423
8655.87133-0.871327
874.55.79386-1.29386
882.56.03833-3.53833
897.56.175161.32484
9076.321030.678966
9106.27476-6.27476
924.55.81599-1.31599
9336.10775-3.10775
941.55.85121-4.35121
953.56.28683-2.78683
962.55.79487-3.29487
975.56.36932-0.869324
9885.754632.24537
9916.29286-5.29286
10056.1993-1.1993
1014.56.27777-1.77777
10236.12787-3.12787
10335.9991-2.9991
10486.009161.99084
1052.56.10473-3.60473
10675.962881.03712
10705.50412-5.50412
10816.03531-5.03531
1093.56.07053-2.57053
1105.56.22345-0.723447
1115.56.47697-0.976973
1120.55.77072-5.27072
1137.56.274761.22524
11496.367312.63269
1159.56.205343.29466
1168.56.294882.20512
11776.762690.237307
11885.822032.17797
119105.94984.0502
12076.064490.93551
1218.56.503131.99687
12296.606752.39325
1239.56.549412.95059
12446.38442-2.38442
12566.23149-0.231495
12686.157051.84295
1275.56.77477-1.27477
1289.55.9833.517
1297.56.200311.29969
13076.087630.912371
1317.55.898491.60151
13286.197291.80271
13376.299910.700094
13476.223450.776553
13566.29286-0.292865
136106.188233.81177
1372.55.81398-3.31398
13896.162082.83792
13985.947792.05221
14066.6319-0.631905
1418.56.16612.3339
14265.937730.0622734
14396.038332.96167
14486.943781.05622
14596.164092.83591
1465.55.84014-0.340139
14756.15302-1.15302
1485.55.68118-0.181182
14996.476972.52303
15026.08763-4.08763
1518.56.671141.82886
15297.141971.85803
1538.56.396492.10351
15496.373352.62665
1557.56.376371.12363
156106.483013.51699
15795.712373.28763
1587.56.453831.04617
15966.45383-0.453833
16010.55.953824.54618
1618.56.568521.93148
16286.69831.3017
163106.752633.24737
16410.55.957854.54215
1656.56.74458-0.244583
1669.55.872333.62767
1678.56.122842.37716
1687.56.104731.39527
16956.27878-1.27878
17086.59771.4023
171106.872353.12765
17276.073540.926456
1737.55.810961.68904
1747.56.110771.38923
1759.56.611782.88822
17666.20836-0.208355
177106.287833.71217
17876.266710.733293
17936.06449-3.06449
18066.54035-0.540354
18176.453830.546167
182105.787824.21218
18376.489050.510954
1843.55.74356-2.24356
18586.142961.85704
186105.863284.13672
1875.56.41963-0.919628
18866.1983-0.198296
1896.56.007140.492855
1906.55.974950.52505
1918.55.944772.55523
19246.40755-2.40755
1939.56.318023.18198
19486.185221.81478
1958.56.335122.16488
1965.55.87435-0.374345
19776.16610.833898
19896.026262.97374
19986.600721.39928
200106.355243.64476
20186.307961.69204
20266.89549-0.895492
20385.773742.22626
20456.20634-1.20634
20596.09972.9003
2064.56.482-1.982
2078.58.046420.453579
20877.02728-0.027285
2098.56.147992.35201
2107.55.779781.72022
2117.55.531281.96872
21255.80292-0.802916
21375.957851.04215
21486.610781.38922
2155.56.19427-0.694271
2168.55.670122.82988
2177.55.727461.77254
21876.154030.845971
21985.998092.00191
2208.55.928672.57133
2213.55.65502-2.15502
2226.55.804930.695073
2236.56.61581-0.115809
22410.56.071534.42847
2258.56.624861.87514
22686.081591.91841
227105.863284.13672
228106.136933.86307
2299.55.715393.78461
23095.836113.16389
231106.436733.56327
2327.55.773741.72626
2334.55.92062-1.42062
2344.56.14296-1.64296
2350.56.38442-5.88442
2366.56.09870.401305
2374.55.96891-1.46891
2385.56.05041-0.550405
23956.35524-1.35524
24066.28683-0.286828
24145.80996-1.80996
24285.770722.22928
24310.56.110774.38923
2448.56.450822.04918
24585.891452.10855
2468.55.989042.51096
2475.57.1621-1.6621
24876.245580.754421
24956.36631-1.36631
2503.55.29486-1.79486
25156.30091-1.30091
25296.359262.64074
2538.56.413592.08641
25456.316-1.316
2559.55.695273.80473
25636.32204-3.32204
2571.56.15202-4.65202
25866.2486-0.248598
2590.56.2486-5.7486
2606.55.891450.608552
2617.55.963881.53612
2624.56.03028-1.53028
26385.769722.23028
26495.935723.06428
2657.56.254631.24537
2668.55.848192.65181
26775.746581.25342
2689.55.874353.62565
2696.56.388440.11156
2709.56.849212.65079
27165.807950.192055
27286.51521.4848
2739.56.401523.09848
27486.177171.82283
27586.462891.53711
27696.440762.55924
27755.99105-0.991047






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
60.9307350.138530.0692651
70.878920.2421610.12108
80.830720.338560.16928
90.7952570.4094860.204743
100.7074610.5850790.292539
110.6361730.7276550.363827
120.539020.921960.46098
130.4767370.9534740.523263
140.5719840.8560320.428016
150.4856450.9712910.514355
160.4112910.8225810.588709
170.3544230.7088470.645577
180.3282920.6565850.671708
190.2669920.5339840.733008
200.344770.689540.65523
210.3112830.6225670.688717
220.2532650.506530.746735
230.298490.5969810.70151
240.247730.4954590.75227
250.2064830.4129670.793517
260.2407770.4815540.759223
270.2289650.457930.771035
280.1903330.3806650.809667
290.1631990.3263980.836801
300.1577050.315410.842295
310.1242070.2484140.875793
320.115140.230280.88486
330.1052370.2104750.894763
340.08471210.1694240.915288
350.06579150.1315830.934208
360.05018050.1003610.94982
370.04039940.08079880.959601
380.03749270.07498550.962507
390.02796470.05592950.972035
400.06599420.1319880.934006
410.05848540.1169710.941515
420.04839130.09678260.951609
430.0430430.08608610.956957
440.04092860.08185730.959071
450.0315720.06314390.968428
460.02363690.04727370.976363
470.04076530.08153050.959235
480.04889930.09779850.951101
490.04623130.09246260.953769
500.03638140.07276280.963619
510.06950060.1390010.930499
520.05727850.1145570.942722
530.04998340.09996670.950017
540.05343170.1068630.946568
550.04350110.08700220.956499
560.1055690.2111390.894431
570.1530420.3060840.846958
580.1400320.2800640.859968
590.1414720.2829450.858528
600.1289230.2578450.871077
610.115510.2310190.88449
620.1432940.2865880.856706
630.2124530.4249060.787547
640.1987740.3975480.801226
650.1853530.3707070.814647
660.1656720.3313440.834328
670.1595220.3190440.840478
680.1710440.3420890.828956
690.1514670.3029350.848533
700.1332350.266470.866765
710.1154280.2308570.884572
720.105810.211620.89419
730.114570.2291390.88543
740.105740.2114810.89426
750.09829380.1965880.901706
760.09143390.1828680.908566
770.08796780.1759360.912032
780.08003230.1600650.919968
790.1118230.2236450.888177
800.09970130.1994030.900299
810.1052480.2104950.894752
820.09348120.1869620.906519
830.1734860.3469720.826514
840.1655350.3310710.834465
850.1467210.2934420.853279
860.1282160.2564330.871784
870.1129260.2258520.887074
880.1252640.2505280.874736
890.1310410.2620810.868959
900.1256560.2513110.874344
910.240650.4813010.75935
920.2195050.439010.780495
930.226190.4523810.77381
940.2833830.5667660.716617
950.2814060.5628110.718594
960.3002910.6005820.699709
970.2771380.5542770.722862
980.3009230.6018460.699077
990.406280.812560.59372
1000.3821350.7642690.617865
1010.3645770.7291540.635423
1020.3810690.7621390.618931
1030.394940.7898810.60506
1040.4117950.823590.588205
1050.4516450.9032910.548355
1060.4383590.8767170.561641
1070.6082660.7834680.391734
1080.7282420.5435160.271758
1090.7364790.5270410.263521
1100.7191660.5616670.280834
1110.7024830.5950340.297517
1120.8315650.3368710.168435
1130.8311720.3376550.168828
1140.8622380.2755250.137762
1150.8972810.2054380.102719
1160.9068620.1862760.093138
1170.900390.199220.0996102
1180.9118460.1763080.0881539
1190.945110.109780.0548898
1200.9402630.1194740.0597372
1210.9443050.111390.055695
1220.9511990.09760120.0488006
1230.9612640.07747120.0387356
1240.9628310.07433750.0371688
1250.9573210.08535880.0426794
1260.9570610.08587830.0429391
1270.9525680.09486370.0474319
1280.9647970.07040670.0352034
1290.9618870.0762260.038113
1300.9572610.0854780.042739
1310.9549640.09007270.0450363
1320.9535480.09290390.046452
1330.9470350.1059290.0529647
1340.9404660.1190680.0595342
1350.9324380.1351230.0675615
1360.9509180.09816420.0490821
1370.9640020.07199680.0359984
1380.967760.06448010.03224
1390.967170.06566050.0328303
1400.9618640.07627120.0381356
1410.9624770.07504640.0375232
1420.9565560.08688890.0434444
1430.9609740.07805270.0390263
1440.9559830.08803440.0440172
1450.95950.08100090.0405004
1460.9539340.09213190.0460659
1470.9497030.1005930.0502967
1480.9430130.1139730.0569865
1490.944750.11050.0552498
1500.9676670.06466630.0323331
1510.9652610.06947710.0347386
1520.9632410.07351750.0367588
1530.9614480.07710490.0385524
1540.9624650.07507090.0375354
1550.9566640.08667240.0433362
1560.9644010.07119820.0355991
1570.9689610.06207730.0310386
1580.9636390.07272250.0363612
1590.9575880.0848250.0424125
1600.9721290.05574120.0278706
1610.9696330.06073480.0303674
1620.9648020.07039510.0351975
1630.9697050.060590.030295
1640.9807680.03846420.0192321
1650.976480.04704010.02352
1660.9804420.03911550.0195577
1670.9793860.04122810.0206141
1680.9758690.04826190.024131
1690.9737660.05246880.0262344
1700.9694270.06114620.0305731
1710.9725990.05480110.0274006
1720.9672270.06554550.0327727
1730.9627990.07440120.0372006
1740.9568010.08639750.0431987
1750.9592480.08150320.0407516
1760.9517730.09645380.0482269
1770.9622310.07553870.0377693
1780.9546410.0907180.045359
1790.9652590.06948150.0347408
1800.958710.08257960.0412898
1810.9501850.09963090.0498155
1820.9621120.07577510.0378875
1830.9540660.09186890.0459344
1840.964510.07097930.0354896
1850.9594440.08111160.0405558
1860.9678540.06429190.0321459
1870.9633320.07333540.0366677
1880.9574020.08519680.0425984
1890.9489840.1020320.0510162
1900.9390170.1219650.0609826
1910.9338450.1323110.0661554
1920.9385570.1228860.0614428
1930.9435170.1129650.0564826
1940.9366030.1267940.063397
1950.9324320.1351360.067568
1960.9231220.1537550.0768777
1970.9091420.1817150.0908577
1980.9135130.1729740.0864868
1990.9019060.1961890.0980945
2000.9214070.1571870.0785934
2010.9088390.1823230.0911614
2020.8949150.2101690.105085
2030.8835190.2329620.116481
2040.8768390.2463230.123161
2050.8736770.2526460.126323
2060.8667720.2664550.133228
2070.848970.3020610.15103
2080.8249150.350170.175085
2090.8163390.3673210.183661
2100.792890.4142190.20711
2110.7696810.4606380.230319
2120.7624580.4750840.237542
2130.7312260.5375490.268774
2140.7002110.5995790.299789
2150.6713330.6573330.328667
2160.6530590.6938810.346941
2170.6199040.7601920.380096
2180.5802170.8395660.419783
2190.5532070.8935860.446793
2200.5407560.9184870.459244
2210.5684720.8630560.431528
2220.527320.945360.47268
2230.4842980.9685970.515702
2240.5209260.9581480.479074
2250.494430.9888610.50557
2260.4655570.9311150.534443
2270.4953430.9906850.504657
2280.5323650.935270.467635
2290.5575810.8848380.442419
2300.5698810.8602380.430119
2310.6127760.7744480.387224
2320.5747520.8504960.425248
2330.556910.886180.44309
2340.5446460.9107080.455354
2350.7619660.4760680.238034
2360.7212710.5574590.278729
2370.7046650.590670.295335
2380.6706090.6587810.329391
2390.6429490.7141020.357051
2400.5989060.8021870.401094
2410.6016440.7967120.398356
2420.5639530.8720950.436047
2430.6324140.7351720.367586
2440.6061750.787650.393825
2450.5704340.8591320.429566
2460.5534190.8931620.446581
2470.5404710.9190590.459529
2480.4854430.9708850.514557
2490.4447370.8894750.555263
2500.4563360.9126730.543664
2510.424120.848240.57588
2520.4026570.8053150.597343
2530.371470.742940.62853
2540.3424260.6848510.657574
2550.3651670.7303340.634833
2560.480940.961880.51906
2570.8238530.3522940.176147
2580.7736550.4526890.226345
2590.9937790.01244290.00622143
2600.9892090.02158180.0107909
2610.980620.03875920.0193796
2620.9944410.01111710.00555853
2630.989840.02032050.0101603
2640.982950.0341010.0170505
2650.9671270.06574580.0328729
2660.9540350.09192970.0459648
2670.9176770.1646450.0823225
2680.9735740.05285170.0264258
2690.9774420.0451170.0225585
2700.9426570.1146860.057343
2710.8617320.2765360.138268

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
6 & 0.930735 & 0.13853 & 0.0692651 \tabularnewline
7 & 0.87892 & 0.242161 & 0.12108 \tabularnewline
8 & 0.83072 & 0.33856 & 0.16928 \tabularnewline
9 & 0.795257 & 0.409486 & 0.204743 \tabularnewline
10 & 0.707461 & 0.585079 & 0.292539 \tabularnewline
11 & 0.636173 & 0.727655 & 0.363827 \tabularnewline
12 & 0.53902 & 0.92196 & 0.46098 \tabularnewline
13 & 0.476737 & 0.953474 & 0.523263 \tabularnewline
14 & 0.571984 & 0.856032 & 0.428016 \tabularnewline
15 & 0.485645 & 0.971291 & 0.514355 \tabularnewline
16 & 0.411291 & 0.822581 & 0.588709 \tabularnewline
17 & 0.354423 & 0.708847 & 0.645577 \tabularnewline
18 & 0.328292 & 0.656585 & 0.671708 \tabularnewline
19 & 0.266992 & 0.533984 & 0.733008 \tabularnewline
20 & 0.34477 & 0.68954 & 0.65523 \tabularnewline
21 & 0.311283 & 0.622567 & 0.688717 \tabularnewline
22 & 0.253265 & 0.50653 & 0.746735 \tabularnewline
23 & 0.29849 & 0.596981 & 0.70151 \tabularnewline
24 & 0.24773 & 0.495459 & 0.75227 \tabularnewline
25 & 0.206483 & 0.412967 & 0.793517 \tabularnewline
26 & 0.240777 & 0.481554 & 0.759223 \tabularnewline
27 & 0.228965 & 0.45793 & 0.771035 \tabularnewline
28 & 0.190333 & 0.380665 & 0.809667 \tabularnewline
29 & 0.163199 & 0.326398 & 0.836801 \tabularnewline
30 & 0.157705 & 0.31541 & 0.842295 \tabularnewline
31 & 0.124207 & 0.248414 & 0.875793 \tabularnewline
32 & 0.11514 & 0.23028 & 0.88486 \tabularnewline
33 & 0.105237 & 0.210475 & 0.894763 \tabularnewline
34 & 0.0847121 & 0.169424 & 0.915288 \tabularnewline
35 & 0.0657915 & 0.131583 & 0.934208 \tabularnewline
36 & 0.0501805 & 0.100361 & 0.94982 \tabularnewline
37 & 0.0403994 & 0.0807988 & 0.959601 \tabularnewline
38 & 0.0374927 & 0.0749855 & 0.962507 \tabularnewline
39 & 0.0279647 & 0.0559295 & 0.972035 \tabularnewline
40 & 0.0659942 & 0.131988 & 0.934006 \tabularnewline
41 & 0.0584854 & 0.116971 & 0.941515 \tabularnewline
42 & 0.0483913 & 0.0967826 & 0.951609 \tabularnewline
43 & 0.043043 & 0.0860861 & 0.956957 \tabularnewline
44 & 0.0409286 & 0.0818573 & 0.959071 \tabularnewline
45 & 0.031572 & 0.0631439 & 0.968428 \tabularnewline
46 & 0.0236369 & 0.0472737 & 0.976363 \tabularnewline
47 & 0.0407653 & 0.0815305 & 0.959235 \tabularnewline
48 & 0.0488993 & 0.0977985 & 0.951101 \tabularnewline
49 & 0.0462313 & 0.0924626 & 0.953769 \tabularnewline
50 & 0.0363814 & 0.0727628 & 0.963619 \tabularnewline
51 & 0.0695006 & 0.139001 & 0.930499 \tabularnewline
52 & 0.0572785 & 0.114557 & 0.942722 \tabularnewline
53 & 0.0499834 & 0.0999667 & 0.950017 \tabularnewline
54 & 0.0534317 & 0.106863 & 0.946568 \tabularnewline
55 & 0.0435011 & 0.0870022 & 0.956499 \tabularnewline
56 & 0.105569 & 0.211139 & 0.894431 \tabularnewline
57 & 0.153042 & 0.306084 & 0.846958 \tabularnewline
58 & 0.140032 & 0.280064 & 0.859968 \tabularnewline
59 & 0.141472 & 0.282945 & 0.858528 \tabularnewline
60 & 0.128923 & 0.257845 & 0.871077 \tabularnewline
61 & 0.11551 & 0.231019 & 0.88449 \tabularnewline
62 & 0.143294 & 0.286588 & 0.856706 \tabularnewline
63 & 0.212453 & 0.424906 & 0.787547 \tabularnewline
64 & 0.198774 & 0.397548 & 0.801226 \tabularnewline
65 & 0.185353 & 0.370707 & 0.814647 \tabularnewline
66 & 0.165672 & 0.331344 & 0.834328 \tabularnewline
67 & 0.159522 & 0.319044 & 0.840478 \tabularnewline
68 & 0.171044 & 0.342089 & 0.828956 \tabularnewline
69 & 0.151467 & 0.302935 & 0.848533 \tabularnewline
70 & 0.133235 & 0.26647 & 0.866765 \tabularnewline
71 & 0.115428 & 0.230857 & 0.884572 \tabularnewline
72 & 0.10581 & 0.21162 & 0.89419 \tabularnewline
73 & 0.11457 & 0.229139 & 0.88543 \tabularnewline
74 & 0.10574 & 0.211481 & 0.89426 \tabularnewline
75 & 0.0982938 & 0.196588 & 0.901706 \tabularnewline
76 & 0.0914339 & 0.182868 & 0.908566 \tabularnewline
77 & 0.0879678 & 0.175936 & 0.912032 \tabularnewline
78 & 0.0800323 & 0.160065 & 0.919968 \tabularnewline
79 & 0.111823 & 0.223645 & 0.888177 \tabularnewline
80 & 0.0997013 & 0.199403 & 0.900299 \tabularnewline
81 & 0.105248 & 0.210495 & 0.894752 \tabularnewline
82 & 0.0934812 & 0.186962 & 0.906519 \tabularnewline
83 & 0.173486 & 0.346972 & 0.826514 \tabularnewline
84 & 0.165535 & 0.331071 & 0.834465 \tabularnewline
85 & 0.146721 & 0.293442 & 0.853279 \tabularnewline
86 & 0.128216 & 0.256433 & 0.871784 \tabularnewline
87 & 0.112926 & 0.225852 & 0.887074 \tabularnewline
88 & 0.125264 & 0.250528 & 0.874736 \tabularnewline
89 & 0.131041 & 0.262081 & 0.868959 \tabularnewline
90 & 0.125656 & 0.251311 & 0.874344 \tabularnewline
91 & 0.24065 & 0.481301 & 0.75935 \tabularnewline
92 & 0.219505 & 0.43901 & 0.780495 \tabularnewline
93 & 0.22619 & 0.452381 & 0.77381 \tabularnewline
94 & 0.283383 & 0.566766 & 0.716617 \tabularnewline
95 & 0.281406 & 0.562811 & 0.718594 \tabularnewline
96 & 0.300291 & 0.600582 & 0.699709 \tabularnewline
97 & 0.277138 & 0.554277 & 0.722862 \tabularnewline
98 & 0.300923 & 0.601846 & 0.699077 \tabularnewline
99 & 0.40628 & 0.81256 & 0.59372 \tabularnewline
100 & 0.382135 & 0.764269 & 0.617865 \tabularnewline
101 & 0.364577 & 0.729154 & 0.635423 \tabularnewline
102 & 0.381069 & 0.762139 & 0.618931 \tabularnewline
103 & 0.39494 & 0.789881 & 0.60506 \tabularnewline
104 & 0.411795 & 0.82359 & 0.588205 \tabularnewline
105 & 0.451645 & 0.903291 & 0.548355 \tabularnewline
106 & 0.438359 & 0.876717 & 0.561641 \tabularnewline
107 & 0.608266 & 0.783468 & 0.391734 \tabularnewline
108 & 0.728242 & 0.543516 & 0.271758 \tabularnewline
109 & 0.736479 & 0.527041 & 0.263521 \tabularnewline
110 & 0.719166 & 0.561667 & 0.280834 \tabularnewline
111 & 0.702483 & 0.595034 & 0.297517 \tabularnewline
112 & 0.831565 & 0.336871 & 0.168435 \tabularnewline
113 & 0.831172 & 0.337655 & 0.168828 \tabularnewline
114 & 0.862238 & 0.275525 & 0.137762 \tabularnewline
115 & 0.897281 & 0.205438 & 0.102719 \tabularnewline
116 & 0.906862 & 0.186276 & 0.093138 \tabularnewline
117 & 0.90039 & 0.19922 & 0.0996102 \tabularnewline
118 & 0.911846 & 0.176308 & 0.0881539 \tabularnewline
119 & 0.94511 & 0.10978 & 0.0548898 \tabularnewline
120 & 0.940263 & 0.119474 & 0.0597372 \tabularnewline
121 & 0.944305 & 0.11139 & 0.055695 \tabularnewline
122 & 0.951199 & 0.0976012 & 0.0488006 \tabularnewline
123 & 0.961264 & 0.0774712 & 0.0387356 \tabularnewline
124 & 0.962831 & 0.0743375 & 0.0371688 \tabularnewline
125 & 0.957321 & 0.0853588 & 0.0426794 \tabularnewline
126 & 0.957061 & 0.0858783 & 0.0429391 \tabularnewline
127 & 0.952568 & 0.0948637 & 0.0474319 \tabularnewline
128 & 0.964797 & 0.0704067 & 0.0352034 \tabularnewline
129 & 0.961887 & 0.076226 & 0.038113 \tabularnewline
130 & 0.957261 & 0.085478 & 0.042739 \tabularnewline
131 & 0.954964 & 0.0900727 & 0.0450363 \tabularnewline
132 & 0.953548 & 0.0929039 & 0.046452 \tabularnewline
133 & 0.947035 & 0.105929 & 0.0529647 \tabularnewline
134 & 0.940466 & 0.119068 & 0.0595342 \tabularnewline
135 & 0.932438 & 0.135123 & 0.0675615 \tabularnewline
136 & 0.950918 & 0.0981642 & 0.0490821 \tabularnewline
137 & 0.964002 & 0.0719968 & 0.0359984 \tabularnewline
138 & 0.96776 & 0.0644801 & 0.03224 \tabularnewline
139 & 0.96717 & 0.0656605 & 0.0328303 \tabularnewline
140 & 0.961864 & 0.0762712 & 0.0381356 \tabularnewline
141 & 0.962477 & 0.0750464 & 0.0375232 \tabularnewline
142 & 0.956556 & 0.0868889 & 0.0434444 \tabularnewline
143 & 0.960974 & 0.0780527 & 0.0390263 \tabularnewline
144 & 0.955983 & 0.0880344 & 0.0440172 \tabularnewline
145 & 0.9595 & 0.0810009 & 0.0405004 \tabularnewline
146 & 0.953934 & 0.0921319 & 0.0460659 \tabularnewline
147 & 0.949703 & 0.100593 & 0.0502967 \tabularnewline
148 & 0.943013 & 0.113973 & 0.0569865 \tabularnewline
149 & 0.94475 & 0.1105 & 0.0552498 \tabularnewline
150 & 0.967667 & 0.0646663 & 0.0323331 \tabularnewline
151 & 0.965261 & 0.0694771 & 0.0347386 \tabularnewline
152 & 0.963241 & 0.0735175 & 0.0367588 \tabularnewline
153 & 0.961448 & 0.0771049 & 0.0385524 \tabularnewline
154 & 0.962465 & 0.0750709 & 0.0375354 \tabularnewline
155 & 0.956664 & 0.0866724 & 0.0433362 \tabularnewline
156 & 0.964401 & 0.0711982 & 0.0355991 \tabularnewline
157 & 0.968961 & 0.0620773 & 0.0310386 \tabularnewline
158 & 0.963639 & 0.0727225 & 0.0363612 \tabularnewline
159 & 0.957588 & 0.084825 & 0.0424125 \tabularnewline
160 & 0.972129 & 0.0557412 & 0.0278706 \tabularnewline
161 & 0.969633 & 0.0607348 & 0.0303674 \tabularnewline
162 & 0.964802 & 0.0703951 & 0.0351975 \tabularnewline
163 & 0.969705 & 0.06059 & 0.030295 \tabularnewline
164 & 0.980768 & 0.0384642 & 0.0192321 \tabularnewline
165 & 0.97648 & 0.0470401 & 0.02352 \tabularnewline
166 & 0.980442 & 0.0391155 & 0.0195577 \tabularnewline
167 & 0.979386 & 0.0412281 & 0.0206141 \tabularnewline
168 & 0.975869 & 0.0482619 & 0.024131 \tabularnewline
169 & 0.973766 & 0.0524688 & 0.0262344 \tabularnewline
170 & 0.969427 & 0.0611462 & 0.0305731 \tabularnewline
171 & 0.972599 & 0.0548011 & 0.0274006 \tabularnewline
172 & 0.967227 & 0.0655455 & 0.0327727 \tabularnewline
173 & 0.962799 & 0.0744012 & 0.0372006 \tabularnewline
174 & 0.956801 & 0.0863975 & 0.0431987 \tabularnewline
175 & 0.959248 & 0.0815032 & 0.0407516 \tabularnewline
176 & 0.951773 & 0.0964538 & 0.0482269 \tabularnewline
177 & 0.962231 & 0.0755387 & 0.0377693 \tabularnewline
178 & 0.954641 & 0.090718 & 0.045359 \tabularnewline
179 & 0.965259 & 0.0694815 & 0.0347408 \tabularnewline
180 & 0.95871 & 0.0825796 & 0.0412898 \tabularnewline
181 & 0.950185 & 0.0996309 & 0.0498155 \tabularnewline
182 & 0.962112 & 0.0757751 & 0.0378875 \tabularnewline
183 & 0.954066 & 0.0918689 & 0.0459344 \tabularnewline
184 & 0.96451 & 0.0709793 & 0.0354896 \tabularnewline
185 & 0.959444 & 0.0811116 & 0.0405558 \tabularnewline
186 & 0.967854 & 0.0642919 & 0.0321459 \tabularnewline
187 & 0.963332 & 0.0733354 & 0.0366677 \tabularnewline
188 & 0.957402 & 0.0851968 & 0.0425984 \tabularnewline
189 & 0.948984 & 0.102032 & 0.0510162 \tabularnewline
190 & 0.939017 & 0.121965 & 0.0609826 \tabularnewline
191 & 0.933845 & 0.132311 & 0.0661554 \tabularnewline
192 & 0.938557 & 0.122886 & 0.0614428 \tabularnewline
193 & 0.943517 & 0.112965 & 0.0564826 \tabularnewline
194 & 0.936603 & 0.126794 & 0.063397 \tabularnewline
195 & 0.932432 & 0.135136 & 0.067568 \tabularnewline
196 & 0.923122 & 0.153755 & 0.0768777 \tabularnewline
197 & 0.909142 & 0.181715 & 0.0908577 \tabularnewline
198 & 0.913513 & 0.172974 & 0.0864868 \tabularnewline
199 & 0.901906 & 0.196189 & 0.0980945 \tabularnewline
200 & 0.921407 & 0.157187 & 0.0785934 \tabularnewline
201 & 0.908839 & 0.182323 & 0.0911614 \tabularnewline
202 & 0.894915 & 0.210169 & 0.105085 \tabularnewline
203 & 0.883519 & 0.232962 & 0.116481 \tabularnewline
204 & 0.876839 & 0.246323 & 0.123161 \tabularnewline
205 & 0.873677 & 0.252646 & 0.126323 \tabularnewline
206 & 0.866772 & 0.266455 & 0.133228 \tabularnewline
207 & 0.84897 & 0.302061 & 0.15103 \tabularnewline
208 & 0.824915 & 0.35017 & 0.175085 \tabularnewline
209 & 0.816339 & 0.367321 & 0.183661 \tabularnewline
210 & 0.79289 & 0.414219 & 0.20711 \tabularnewline
211 & 0.769681 & 0.460638 & 0.230319 \tabularnewline
212 & 0.762458 & 0.475084 & 0.237542 \tabularnewline
213 & 0.731226 & 0.537549 & 0.268774 \tabularnewline
214 & 0.700211 & 0.599579 & 0.299789 \tabularnewline
215 & 0.671333 & 0.657333 & 0.328667 \tabularnewline
216 & 0.653059 & 0.693881 & 0.346941 \tabularnewline
217 & 0.619904 & 0.760192 & 0.380096 \tabularnewline
218 & 0.580217 & 0.839566 & 0.419783 \tabularnewline
219 & 0.553207 & 0.893586 & 0.446793 \tabularnewline
220 & 0.540756 & 0.918487 & 0.459244 \tabularnewline
221 & 0.568472 & 0.863056 & 0.431528 \tabularnewline
222 & 0.52732 & 0.94536 & 0.47268 \tabularnewline
223 & 0.484298 & 0.968597 & 0.515702 \tabularnewline
224 & 0.520926 & 0.958148 & 0.479074 \tabularnewline
225 & 0.49443 & 0.988861 & 0.50557 \tabularnewline
226 & 0.465557 & 0.931115 & 0.534443 \tabularnewline
227 & 0.495343 & 0.990685 & 0.504657 \tabularnewline
228 & 0.532365 & 0.93527 & 0.467635 \tabularnewline
229 & 0.557581 & 0.884838 & 0.442419 \tabularnewline
230 & 0.569881 & 0.860238 & 0.430119 \tabularnewline
231 & 0.612776 & 0.774448 & 0.387224 \tabularnewline
232 & 0.574752 & 0.850496 & 0.425248 \tabularnewline
233 & 0.55691 & 0.88618 & 0.44309 \tabularnewline
234 & 0.544646 & 0.910708 & 0.455354 \tabularnewline
235 & 0.761966 & 0.476068 & 0.238034 \tabularnewline
236 & 0.721271 & 0.557459 & 0.278729 \tabularnewline
237 & 0.704665 & 0.59067 & 0.295335 \tabularnewline
238 & 0.670609 & 0.658781 & 0.329391 \tabularnewline
239 & 0.642949 & 0.714102 & 0.357051 \tabularnewline
240 & 0.598906 & 0.802187 & 0.401094 \tabularnewline
241 & 0.601644 & 0.796712 & 0.398356 \tabularnewline
242 & 0.563953 & 0.872095 & 0.436047 \tabularnewline
243 & 0.632414 & 0.735172 & 0.367586 \tabularnewline
244 & 0.606175 & 0.78765 & 0.393825 \tabularnewline
245 & 0.570434 & 0.859132 & 0.429566 \tabularnewline
246 & 0.553419 & 0.893162 & 0.446581 \tabularnewline
247 & 0.540471 & 0.919059 & 0.459529 \tabularnewline
248 & 0.485443 & 0.970885 & 0.514557 \tabularnewline
249 & 0.444737 & 0.889475 & 0.555263 \tabularnewline
250 & 0.456336 & 0.912673 & 0.543664 \tabularnewline
251 & 0.42412 & 0.84824 & 0.57588 \tabularnewline
252 & 0.402657 & 0.805315 & 0.597343 \tabularnewline
253 & 0.37147 & 0.74294 & 0.62853 \tabularnewline
254 & 0.342426 & 0.684851 & 0.657574 \tabularnewline
255 & 0.365167 & 0.730334 & 0.634833 \tabularnewline
256 & 0.48094 & 0.96188 & 0.51906 \tabularnewline
257 & 0.823853 & 0.352294 & 0.176147 \tabularnewline
258 & 0.773655 & 0.452689 & 0.226345 \tabularnewline
259 & 0.993779 & 0.0124429 & 0.00622143 \tabularnewline
260 & 0.989209 & 0.0215818 & 0.0107909 \tabularnewline
261 & 0.98062 & 0.0387592 & 0.0193796 \tabularnewline
262 & 0.994441 & 0.0111171 & 0.00555853 \tabularnewline
263 & 0.98984 & 0.0203205 & 0.0101603 \tabularnewline
264 & 0.98295 & 0.034101 & 0.0170505 \tabularnewline
265 & 0.967127 & 0.0657458 & 0.0328729 \tabularnewline
266 & 0.954035 & 0.0919297 & 0.0459648 \tabularnewline
267 & 0.917677 & 0.164645 & 0.0823225 \tabularnewline
268 & 0.973574 & 0.0528517 & 0.0264258 \tabularnewline
269 & 0.977442 & 0.045117 & 0.0225585 \tabularnewline
270 & 0.942657 & 0.114686 & 0.057343 \tabularnewline
271 & 0.861732 & 0.276536 & 0.138268 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265938&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]0.930735[/C][C]0.13853[/C][C]0.0692651[/C][/ROW]
[ROW][C]7[/C][C]0.87892[/C][C]0.242161[/C][C]0.12108[/C][/ROW]
[ROW][C]8[/C][C]0.83072[/C][C]0.33856[/C][C]0.16928[/C][/ROW]
[ROW][C]9[/C][C]0.795257[/C][C]0.409486[/C][C]0.204743[/C][/ROW]
[ROW][C]10[/C][C]0.707461[/C][C]0.585079[/C][C]0.292539[/C][/ROW]
[ROW][C]11[/C][C]0.636173[/C][C]0.727655[/C][C]0.363827[/C][/ROW]
[ROW][C]12[/C][C]0.53902[/C][C]0.92196[/C][C]0.46098[/C][/ROW]
[ROW][C]13[/C][C]0.476737[/C][C]0.953474[/C][C]0.523263[/C][/ROW]
[ROW][C]14[/C][C]0.571984[/C][C]0.856032[/C][C]0.428016[/C][/ROW]
[ROW][C]15[/C][C]0.485645[/C][C]0.971291[/C][C]0.514355[/C][/ROW]
[ROW][C]16[/C][C]0.411291[/C][C]0.822581[/C][C]0.588709[/C][/ROW]
[ROW][C]17[/C][C]0.354423[/C][C]0.708847[/C][C]0.645577[/C][/ROW]
[ROW][C]18[/C][C]0.328292[/C][C]0.656585[/C][C]0.671708[/C][/ROW]
[ROW][C]19[/C][C]0.266992[/C][C]0.533984[/C][C]0.733008[/C][/ROW]
[ROW][C]20[/C][C]0.34477[/C][C]0.68954[/C][C]0.65523[/C][/ROW]
[ROW][C]21[/C][C]0.311283[/C][C]0.622567[/C][C]0.688717[/C][/ROW]
[ROW][C]22[/C][C]0.253265[/C][C]0.50653[/C][C]0.746735[/C][/ROW]
[ROW][C]23[/C][C]0.29849[/C][C]0.596981[/C][C]0.70151[/C][/ROW]
[ROW][C]24[/C][C]0.24773[/C][C]0.495459[/C][C]0.75227[/C][/ROW]
[ROW][C]25[/C][C]0.206483[/C][C]0.412967[/C][C]0.793517[/C][/ROW]
[ROW][C]26[/C][C]0.240777[/C][C]0.481554[/C][C]0.759223[/C][/ROW]
[ROW][C]27[/C][C]0.228965[/C][C]0.45793[/C][C]0.771035[/C][/ROW]
[ROW][C]28[/C][C]0.190333[/C][C]0.380665[/C][C]0.809667[/C][/ROW]
[ROW][C]29[/C][C]0.163199[/C][C]0.326398[/C][C]0.836801[/C][/ROW]
[ROW][C]30[/C][C]0.157705[/C][C]0.31541[/C][C]0.842295[/C][/ROW]
[ROW][C]31[/C][C]0.124207[/C][C]0.248414[/C][C]0.875793[/C][/ROW]
[ROW][C]32[/C][C]0.11514[/C][C]0.23028[/C][C]0.88486[/C][/ROW]
[ROW][C]33[/C][C]0.105237[/C][C]0.210475[/C][C]0.894763[/C][/ROW]
[ROW][C]34[/C][C]0.0847121[/C][C]0.169424[/C][C]0.915288[/C][/ROW]
[ROW][C]35[/C][C]0.0657915[/C][C]0.131583[/C][C]0.934208[/C][/ROW]
[ROW][C]36[/C][C]0.0501805[/C][C]0.100361[/C][C]0.94982[/C][/ROW]
[ROW][C]37[/C][C]0.0403994[/C][C]0.0807988[/C][C]0.959601[/C][/ROW]
[ROW][C]38[/C][C]0.0374927[/C][C]0.0749855[/C][C]0.962507[/C][/ROW]
[ROW][C]39[/C][C]0.0279647[/C][C]0.0559295[/C][C]0.972035[/C][/ROW]
[ROW][C]40[/C][C]0.0659942[/C][C]0.131988[/C][C]0.934006[/C][/ROW]
[ROW][C]41[/C][C]0.0584854[/C][C]0.116971[/C][C]0.941515[/C][/ROW]
[ROW][C]42[/C][C]0.0483913[/C][C]0.0967826[/C][C]0.951609[/C][/ROW]
[ROW][C]43[/C][C]0.043043[/C][C]0.0860861[/C][C]0.956957[/C][/ROW]
[ROW][C]44[/C][C]0.0409286[/C][C]0.0818573[/C][C]0.959071[/C][/ROW]
[ROW][C]45[/C][C]0.031572[/C][C]0.0631439[/C][C]0.968428[/C][/ROW]
[ROW][C]46[/C][C]0.0236369[/C][C]0.0472737[/C][C]0.976363[/C][/ROW]
[ROW][C]47[/C][C]0.0407653[/C][C]0.0815305[/C][C]0.959235[/C][/ROW]
[ROW][C]48[/C][C]0.0488993[/C][C]0.0977985[/C][C]0.951101[/C][/ROW]
[ROW][C]49[/C][C]0.0462313[/C][C]0.0924626[/C][C]0.953769[/C][/ROW]
[ROW][C]50[/C][C]0.0363814[/C][C]0.0727628[/C][C]0.963619[/C][/ROW]
[ROW][C]51[/C][C]0.0695006[/C][C]0.139001[/C][C]0.930499[/C][/ROW]
[ROW][C]52[/C][C]0.0572785[/C][C]0.114557[/C][C]0.942722[/C][/ROW]
[ROW][C]53[/C][C]0.0499834[/C][C]0.0999667[/C][C]0.950017[/C][/ROW]
[ROW][C]54[/C][C]0.0534317[/C][C]0.106863[/C][C]0.946568[/C][/ROW]
[ROW][C]55[/C][C]0.0435011[/C][C]0.0870022[/C][C]0.956499[/C][/ROW]
[ROW][C]56[/C][C]0.105569[/C][C]0.211139[/C][C]0.894431[/C][/ROW]
[ROW][C]57[/C][C]0.153042[/C][C]0.306084[/C][C]0.846958[/C][/ROW]
[ROW][C]58[/C][C]0.140032[/C][C]0.280064[/C][C]0.859968[/C][/ROW]
[ROW][C]59[/C][C]0.141472[/C][C]0.282945[/C][C]0.858528[/C][/ROW]
[ROW][C]60[/C][C]0.128923[/C][C]0.257845[/C][C]0.871077[/C][/ROW]
[ROW][C]61[/C][C]0.11551[/C][C]0.231019[/C][C]0.88449[/C][/ROW]
[ROW][C]62[/C][C]0.143294[/C][C]0.286588[/C][C]0.856706[/C][/ROW]
[ROW][C]63[/C][C]0.212453[/C][C]0.424906[/C][C]0.787547[/C][/ROW]
[ROW][C]64[/C][C]0.198774[/C][C]0.397548[/C][C]0.801226[/C][/ROW]
[ROW][C]65[/C][C]0.185353[/C][C]0.370707[/C][C]0.814647[/C][/ROW]
[ROW][C]66[/C][C]0.165672[/C][C]0.331344[/C][C]0.834328[/C][/ROW]
[ROW][C]67[/C][C]0.159522[/C][C]0.319044[/C][C]0.840478[/C][/ROW]
[ROW][C]68[/C][C]0.171044[/C][C]0.342089[/C][C]0.828956[/C][/ROW]
[ROW][C]69[/C][C]0.151467[/C][C]0.302935[/C][C]0.848533[/C][/ROW]
[ROW][C]70[/C][C]0.133235[/C][C]0.26647[/C][C]0.866765[/C][/ROW]
[ROW][C]71[/C][C]0.115428[/C][C]0.230857[/C][C]0.884572[/C][/ROW]
[ROW][C]72[/C][C]0.10581[/C][C]0.21162[/C][C]0.89419[/C][/ROW]
[ROW][C]73[/C][C]0.11457[/C][C]0.229139[/C][C]0.88543[/C][/ROW]
[ROW][C]74[/C][C]0.10574[/C][C]0.211481[/C][C]0.89426[/C][/ROW]
[ROW][C]75[/C][C]0.0982938[/C][C]0.196588[/C][C]0.901706[/C][/ROW]
[ROW][C]76[/C][C]0.0914339[/C][C]0.182868[/C][C]0.908566[/C][/ROW]
[ROW][C]77[/C][C]0.0879678[/C][C]0.175936[/C][C]0.912032[/C][/ROW]
[ROW][C]78[/C][C]0.0800323[/C][C]0.160065[/C][C]0.919968[/C][/ROW]
[ROW][C]79[/C][C]0.111823[/C][C]0.223645[/C][C]0.888177[/C][/ROW]
[ROW][C]80[/C][C]0.0997013[/C][C]0.199403[/C][C]0.900299[/C][/ROW]
[ROW][C]81[/C][C]0.105248[/C][C]0.210495[/C][C]0.894752[/C][/ROW]
[ROW][C]82[/C][C]0.0934812[/C][C]0.186962[/C][C]0.906519[/C][/ROW]
[ROW][C]83[/C][C]0.173486[/C][C]0.346972[/C][C]0.826514[/C][/ROW]
[ROW][C]84[/C][C]0.165535[/C][C]0.331071[/C][C]0.834465[/C][/ROW]
[ROW][C]85[/C][C]0.146721[/C][C]0.293442[/C][C]0.853279[/C][/ROW]
[ROW][C]86[/C][C]0.128216[/C][C]0.256433[/C][C]0.871784[/C][/ROW]
[ROW][C]87[/C][C]0.112926[/C][C]0.225852[/C][C]0.887074[/C][/ROW]
[ROW][C]88[/C][C]0.125264[/C][C]0.250528[/C][C]0.874736[/C][/ROW]
[ROW][C]89[/C][C]0.131041[/C][C]0.262081[/C][C]0.868959[/C][/ROW]
[ROW][C]90[/C][C]0.125656[/C][C]0.251311[/C][C]0.874344[/C][/ROW]
[ROW][C]91[/C][C]0.24065[/C][C]0.481301[/C][C]0.75935[/C][/ROW]
[ROW][C]92[/C][C]0.219505[/C][C]0.43901[/C][C]0.780495[/C][/ROW]
[ROW][C]93[/C][C]0.22619[/C][C]0.452381[/C][C]0.77381[/C][/ROW]
[ROW][C]94[/C][C]0.283383[/C][C]0.566766[/C][C]0.716617[/C][/ROW]
[ROW][C]95[/C][C]0.281406[/C][C]0.562811[/C][C]0.718594[/C][/ROW]
[ROW][C]96[/C][C]0.300291[/C][C]0.600582[/C][C]0.699709[/C][/ROW]
[ROW][C]97[/C][C]0.277138[/C][C]0.554277[/C][C]0.722862[/C][/ROW]
[ROW][C]98[/C][C]0.300923[/C][C]0.601846[/C][C]0.699077[/C][/ROW]
[ROW][C]99[/C][C]0.40628[/C][C]0.81256[/C][C]0.59372[/C][/ROW]
[ROW][C]100[/C][C]0.382135[/C][C]0.764269[/C][C]0.617865[/C][/ROW]
[ROW][C]101[/C][C]0.364577[/C][C]0.729154[/C][C]0.635423[/C][/ROW]
[ROW][C]102[/C][C]0.381069[/C][C]0.762139[/C][C]0.618931[/C][/ROW]
[ROW][C]103[/C][C]0.39494[/C][C]0.789881[/C][C]0.60506[/C][/ROW]
[ROW][C]104[/C][C]0.411795[/C][C]0.82359[/C][C]0.588205[/C][/ROW]
[ROW][C]105[/C][C]0.451645[/C][C]0.903291[/C][C]0.548355[/C][/ROW]
[ROW][C]106[/C][C]0.438359[/C][C]0.876717[/C][C]0.561641[/C][/ROW]
[ROW][C]107[/C][C]0.608266[/C][C]0.783468[/C][C]0.391734[/C][/ROW]
[ROW][C]108[/C][C]0.728242[/C][C]0.543516[/C][C]0.271758[/C][/ROW]
[ROW][C]109[/C][C]0.736479[/C][C]0.527041[/C][C]0.263521[/C][/ROW]
[ROW][C]110[/C][C]0.719166[/C][C]0.561667[/C][C]0.280834[/C][/ROW]
[ROW][C]111[/C][C]0.702483[/C][C]0.595034[/C][C]0.297517[/C][/ROW]
[ROW][C]112[/C][C]0.831565[/C][C]0.336871[/C][C]0.168435[/C][/ROW]
[ROW][C]113[/C][C]0.831172[/C][C]0.337655[/C][C]0.168828[/C][/ROW]
[ROW][C]114[/C][C]0.862238[/C][C]0.275525[/C][C]0.137762[/C][/ROW]
[ROW][C]115[/C][C]0.897281[/C][C]0.205438[/C][C]0.102719[/C][/ROW]
[ROW][C]116[/C][C]0.906862[/C][C]0.186276[/C][C]0.093138[/C][/ROW]
[ROW][C]117[/C][C]0.90039[/C][C]0.19922[/C][C]0.0996102[/C][/ROW]
[ROW][C]118[/C][C]0.911846[/C][C]0.176308[/C][C]0.0881539[/C][/ROW]
[ROW][C]119[/C][C]0.94511[/C][C]0.10978[/C][C]0.0548898[/C][/ROW]
[ROW][C]120[/C][C]0.940263[/C][C]0.119474[/C][C]0.0597372[/C][/ROW]
[ROW][C]121[/C][C]0.944305[/C][C]0.11139[/C][C]0.055695[/C][/ROW]
[ROW][C]122[/C][C]0.951199[/C][C]0.0976012[/C][C]0.0488006[/C][/ROW]
[ROW][C]123[/C][C]0.961264[/C][C]0.0774712[/C][C]0.0387356[/C][/ROW]
[ROW][C]124[/C][C]0.962831[/C][C]0.0743375[/C][C]0.0371688[/C][/ROW]
[ROW][C]125[/C][C]0.957321[/C][C]0.0853588[/C][C]0.0426794[/C][/ROW]
[ROW][C]126[/C][C]0.957061[/C][C]0.0858783[/C][C]0.0429391[/C][/ROW]
[ROW][C]127[/C][C]0.952568[/C][C]0.0948637[/C][C]0.0474319[/C][/ROW]
[ROW][C]128[/C][C]0.964797[/C][C]0.0704067[/C][C]0.0352034[/C][/ROW]
[ROW][C]129[/C][C]0.961887[/C][C]0.076226[/C][C]0.038113[/C][/ROW]
[ROW][C]130[/C][C]0.957261[/C][C]0.085478[/C][C]0.042739[/C][/ROW]
[ROW][C]131[/C][C]0.954964[/C][C]0.0900727[/C][C]0.0450363[/C][/ROW]
[ROW][C]132[/C][C]0.953548[/C][C]0.0929039[/C][C]0.046452[/C][/ROW]
[ROW][C]133[/C][C]0.947035[/C][C]0.105929[/C][C]0.0529647[/C][/ROW]
[ROW][C]134[/C][C]0.940466[/C][C]0.119068[/C][C]0.0595342[/C][/ROW]
[ROW][C]135[/C][C]0.932438[/C][C]0.135123[/C][C]0.0675615[/C][/ROW]
[ROW][C]136[/C][C]0.950918[/C][C]0.0981642[/C][C]0.0490821[/C][/ROW]
[ROW][C]137[/C][C]0.964002[/C][C]0.0719968[/C][C]0.0359984[/C][/ROW]
[ROW][C]138[/C][C]0.96776[/C][C]0.0644801[/C][C]0.03224[/C][/ROW]
[ROW][C]139[/C][C]0.96717[/C][C]0.0656605[/C][C]0.0328303[/C][/ROW]
[ROW][C]140[/C][C]0.961864[/C][C]0.0762712[/C][C]0.0381356[/C][/ROW]
[ROW][C]141[/C][C]0.962477[/C][C]0.0750464[/C][C]0.0375232[/C][/ROW]
[ROW][C]142[/C][C]0.956556[/C][C]0.0868889[/C][C]0.0434444[/C][/ROW]
[ROW][C]143[/C][C]0.960974[/C][C]0.0780527[/C][C]0.0390263[/C][/ROW]
[ROW][C]144[/C][C]0.955983[/C][C]0.0880344[/C][C]0.0440172[/C][/ROW]
[ROW][C]145[/C][C]0.9595[/C][C]0.0810009[/C][C]0.0405004[/C][/ROW]
[ROW][C]146[/C][C]0.953934[/C][C]0.0921319[/C][C]0.0460659[/C][/ROW]
[ROW][C]147[/C][C]0.949703[/C][C]0.100593[/C][C]0.0502967[/C][/ROW]
[ROW][C]148[/C][C]0.943013[/C][C]0.113973[/C][C]0.0569865[/C][/ROW]
[ROW][C]149[/C][C]0.94475[/C][C]0.1105[/C][C]0.0552498[/C][/ROW]
[ROW][C]150[/C][C]0.967667[/C][C]0.0646663[/C][C]0.0323331[/C][/ROW]
[ROW][C]151[/C][C]0.965261[/C][C]0.0694771[/C][C]0.0347386[/C][/ROW]
[ROW][C]152[/C][C]0.963241[/C][C]0.0735175[/C][C]0.0367588[/C][/ROW]
[ROW][C]153[/C][C]0.961448[/C][C]0.0771049[/C][C]0.0385524[/C][/ROW]
[ROW][C]154[/C][C]0.962465[/C][C]0.0750709[/C][C]0.0375354[/C][/ROW]
[ROW][C]155[/C][C]0.956664[/C][C]0.0866724[/C][C]0.0433362[/C][/ROW]
[ROW][C]156[/C][C]0.964401[/C][C]0.0711982[/C][C]0.0355991[/C][/ROW]
[ROW][C]157[/C][C]0.968961[/C][C]0.0620773[/C][C]0.0310386[/C][/ROW]
[ROW][C]158[/C][C]0.963639[/C][C]0.0727225[/C][C]0.0363612[/C][/ROW]
[ROW][C]159[/C][C]0.957588[/C][C]0.084825[/C][C]0.0424125[/C][/ROW]
[ROW][C]160[/C][C]0.972129[/C][C]0.0557412[/C][C]0.0278706[/C][/ROW]
[ROW][C]161[/C][C]0.969633[/C][C]0.0607348[/C][C]0.0303674[/C][/ROW]
[ROW][C]162[/C][C]0.964802[/C][C]0.0703951[/C][C]0.0351975[/C][/ROW]
[ROW][C]163[/C][C]0.969705[/C][C]0.06059[/C][C]0.030295[/C][/ROW]
[ROW][C]164[/C][C]0.980768[/C][C]0.0384642[/C][C]0.0192321[/C][/ROW]
[ROW][C]165[/C][C]0.97648[/C][C]0.0470401[/C][C]0.02352[/C][/ROW]
[ROW][C]166[/C][C]0.980442[/C][C]0.0391155[/C][C]0.0195577[/C][/ROW]
[ROW][C]167[/C][C]0.979386[/C][C]0.0412281[/C][C]0.0206141[/C][/ROW]
[ROW][C]168[/C][C]0.975869[/C][C]0.0482619[/C][C]0.024131[/C][/ROW]
[ROW][C]169[/C][C]0.973766[/C][C]0.0524688[/C][C]0.0262344[/C][/ROW]
[ROW][C]170[/C][C]0.969427[/C][C]0.0611462[/C][C]0.0305731[/C][/ROW]
[ROW][C]171[/C][C]0.972599[/C][C]0.0548011[/C][C]0.0274006[/C][/ROW]
[ROW][C]172[/C][C]0.967227[/C][C]0.0655455[/C][C]0.0327727[/C][/ROW]
[ROW][C]173[/C][C]0.962799[/C][C]0.0744012[/C][C]0.0372006[/C][/ROW]
[ROW][C]174[/C][C]0.956801[/C][C]0.0863975[/C][C]0.0431987[/C][/ROW]
[ROW][C]175[/C][C]0.959248[/C][C]0.0815032[/C][C]0.0407516[/C][/ROW]
[ROW][C]176[/C][C]0.951773[/C][C]0.0964538[/C][C]0.0482269[/C][/ROW]
[ROW][C]177[/C][C]0.962231[/C][C]0.0755387[/C][C]0.0377693[/C][/ROW]
[ROW][C]178[/C][C]0.954641[/C][C]0.090718[/C][C]0.045359[/C][/ROW]
[ROW][C]179[/C][C]0.965259[/C][C]0.0694815[/C][C]0.0347408[/C][/ROW]
[ROW][C]180[/C][C]0.95871[/C][C]0.0825796[/C][C]0.0412898[/C][/ROW]
[ROW][C]181[/C][C]0.950185[/C][C]0.0996309[/C][C]0.0498155[/C][/ROW]
[ROW][C]182[/C][C]0.962112[/C][C]0.0757751[/C][C]0.0378875[/C][/ROW]
[ROW][C]183[/C][C]0.954066[/C][C]0.0918689[/C][C]0.0459344[/C][/ROW]
[ROW][C]184[/C][C]0.96451[/C][C]0.0709793[/C][C]0.0354896[/C][/ROW]
[ROW][C]185[/C][C]0.959444[/C][C]0.0811116[/C][C]0.0405558[/C][/ROW]
[ROW][C]186[/C][C]0.967854[/C][C]0.0642919[/C][C]0.0321459[/C][/ROW]
[ROW][C]187[/C][C]0.963332[/C][C]0.0733354[/C][C]0.0366677[/C][/ROW]
[ROW][C]188[/C][C]0.957402[/C][C]0.0851968[/C][C]0.0425984[/C][/ROW]
[ROW][C]189[/C][C]0.948984[/C][C]0.102032[/C][C]0.0510162[/C][/ROW]
[ROW][C]190[/C][C]0.939017[/C][C]0.121965[/C][C]0.0609826[/C][/ROW]
[ROW][C]191[/C][C]0.933845[/C][C]0.132311[/C][C]0.0661554[/C][/ROW]
[ROW][C]192[/C][C]0.938557[/C][C]0.122886[/C][C]0.0614428[/C][/ROW]
[ROW][C]193[/C][C]0.943517[/C][C]0.112965[/C][C]0.0564826[/C][/ROW]
[ROW][C]194[/C][C]0.936603[/C][C]0.126794[/C][C]0.063397[/C][/ROW]
[ROW][C]195[/C][C]0.932432[/C][C]0.135136[/C][C]0.067568[/C][/ROW]
[ROW][C]196[/C][C]0.923122[/C][C]0.153755[/C][C]0.0768777[/C][/ROW]
[ROW][C]197[/C][C]0.909142[/C][C]0.181715[/C][C]0.0908577[/C][/ROW]
[ROW][C]198[/C][C]0.913513[/C][C]0.172974[/C][C]0.0864868[/C][/ROW]
[ROW][C]199[/C][C]0.901906[/C][C]0.196189[/C][C]0.0980945[/C][/ROW]
[ROW][C]200[/C][C]0.921407[/C][C]0.157187[/C][C]0.0785934[/C][/ROW]
[ROW][C]201[/C][C]0.908839[/C][C]0.182323[/C][C]0.0911614[/C][/ROW]
[ROW][C]202[/C][C]0.894915[/C][C]0.210169[/C][C]0.105085[/C][/ROW]
[ROW][C]203[/C][C]0.883519[/C][C]0.232962[/C][C]0.116481[/C][/ROW]
[ROW][C]204[/C][C]0.876839[/C][C]0.246323[/C][C]0.123161[/C][/ROW]
[ROW][C]205[/C][C]0.873677[/C][C]0.252646[/C][C]0.126323[/C][/ROW]
[ROW][C]206[/C][C]0.866772[/C][C]0.266455[/C][C]0.133228[/C][/ROW]
[ROW][C]207[/C][C]0.84897[/C][C]0.302061[/C][C]0.15103[/C][/ROW]
[ROW][C]208[/C][C]0.824915[/C][C]0.35017[/C][C]0.175085[/C][/ROW]
[ROW][C]209[/C][C]0.816339[/C][C]0.367321[/C][C]0.183661[/C][/ROW]
[ROW][C]210[/C][C]0.79289[/C][C]0.414219[/C][C]0.20711[/C][/ROW]
[ROW][C]211[/C][C]0.769681[/C][C]0.460638[/C][C]0.230319[/C][/ROW]
[ROW][C]212[/C][C]0.762458[/C][C]0.475084[/C][C]0.237542[/C][/ROW]
[ROW][C]213[/C][C]0.731226[/C][C]0.537549[/C][C]0.268774[/C][/ROW]
[ROW][C]214[/C][C]0.700211[/C][C]0.599579[/C][C]0.299789[/C][/ROW]
[ROW][C]215[/C][C]0.671333[/C][C]0.657333[/C][C]0.328667[/C][/ROW]
[ROW][C]216[/C][C]0.653059[/C][C]0.693881[/C][C]0.346941[/C][/ROW]
[ROW][C]217[/C][C]0.619904[/C][C]0.760192[/C][C]0.380096[/C][/ROW]
[ROW][C]218[/C][C]0.580217[/C][C]0.839566[/C][C]0.419783[/C][/ROW]
[ROW][C]219[/C][C]0.553207[/C][C]0.893586[/C][C]0.446793[/C][/ROW]
[ROW][C]220[/C][C]0.540756[/C][C]0.918487[/C][C]0.459244[/C][/ROW]
[ROW][C]221[/C][C]0.568472[/C][C]0.863056[/C][C]0.431528[/C][/ROW]
[ROW][C]222[/C][C]0.52732[/C][C]0.94536[/C][C]0.47268[/C][/ROW]
[ROW][C]223[/C][C]0.484298[/C][C]0.968597[/C][C]0.515702[/C][/ROW]
[ROW][C]224[/C][C]0.520926[/C][C]0.958148[/C][C]0.479074[/C][/ROW]
[ROW][C]225[/C][C]0.49443[/C][C]0.988861[/C][C]0.50557[/C][/ROW]
[ROW][C]226[/C][C]0.465557[/C][C]0.931115[/C][C]0.534443[/C][/ROW]
[ROW][C]227[/C][C]0.495343[/C][C]0.990685[/C][C]0.504657[/C][/ROW]
[ROW][C]228[/C][C]0.532365[/C][C]0.93527[/C][C]0.467635[/C][/ROW]
[ROW][C]229[/C][C]0.557581[/C][C]0.884838[/C][C]0.442419[/C][/ROW]
[ROW][C]230[/C][C]0.569881[/C][C]0.860238[/C][C]0.430119[/C][/ROW]
[ROW][C]231[/C][C]0.612776[/C][C]0.774448[/C][C]0.387224[/C][/ROW]
[ROW][C]232[/C][C]0.574752[/C][C]0.850496[/C][C]0.425248[/C][/ROW]
[ROW][C]233[/C][C]0.55691[/C][C]0.88618[/C][C]0.44309[/C][/ROW]
[ROW][C]234[/C][C]0.544646[/C][C]0.910708[/C][C]0.455354[/C][/ROW]
[ROW][C]235[/C][C]0.761966[/C][C]0.476068[/C][C]0.238034[/C][/ROW]
[ROW][C]236[/C][C]0.721271[/C][C]0.557459[/C][C]0.278729[/C][/ROW]
[ROW][C]237[/C][C]0.704665[/C][C]0.59067[/C][C]0.295335[/C][/ROW]
[ROW][C]238[/C][C]0.670609[/C][C]0.658781[/C][C]0.329391[/C][/ROW]
[ROW][C]239[/C][C]0.642949[/C][C]0.714102[/C][C]0.357051[/C][/ROW]
[ROW][C]240[/C][C]0.598906[/C][C]0.802187[/C][C]0.401094[/C][/ROW]
[ROW][C]241[/C][C]0.601644[/C][C]0.796712[/C][C]0.398356[/C][/ROW]
[ROW][C]242[/C][C]0.563953[/C][C]0.872095[/C][C]0.436047[/C][/ROW]
[ROW][C]243[/C][C]0.632414[/C][C]0.735172[/C][C]0.367586[/C][/ROW]
[ROW][C]244[/C][C]0.606175[/C][C]0.78765[/C][C]0.393825[/C][/ROW]
[ROW][C]245[/C][C]0.570434[/C][C]0.859132[/C][C]0.429566[/C][/ROW]
[ROW][C]246[/C][C]0.553419[/C][C]0.893162[/C][C]0.446581[/C][/ROW]
[ROW][C]247[/C][C]0.540471[/C][C]0.919059[/C][C]0.459529[/C][/ROW]
[ROW][C]248[/C][C]0.485443[/C][C]0.970885[/C][C]0.514557[/C][/ROW]
[ROW][C]249[/C][C]0.444737[/C][C]0.889475[/C][C]0.555263[/C][/ROW]
[ROW][C]250[/C][C]0.456336[/C][C]0.912673[/C][C]0.543664[/C][/ROW]
[ROW][C]251[/C][C]0.42412[/C][C]0.84824[/C][C]0.57588[/C][/ROW]
[ROW][C]252[/C][C]0.402657[/C][C]0.805315[/C][C]0.597343[/C][/ROW]
[ROW][C]253[/C][C]0.37147[/C][C]0.74294[/C][C]0.62853[/C][/ROW]
[ROW][C]254[/C][C]0.342426[/C][C]0.684851[/C][C]0.657574[/C][/ROW]
[ROW][C]255[/C][C]0.365167[/C][C]0.730334[/C][C]0.634833[/C][/ROW]
[ROW][C]256[/C][C]0.48094[/C][C]0.96188[/C][C]0.51906[/C][/ROW]
[ROW][C]257[/C][C]0.823853[/C][C]0.352294[/C][C]0.176147[/C][/ROW]
[ROW][C]258[/C][C]0.773655[/C][C]0.452689[/C][C]0.226345[/C][/ROW]
[ROW][C]259[/C][C]0.993779[/C][C]0.0124429[/C][C]0.00622143[/C][/ROW]
[ROW][C]260[/C][C]0.989209[/C][C]0.0215818[/C][C]0.0107909[/C][/ROW]
[ROW][C]261[/C][C]0.98062[/C][C]0.0387592[/C][C]0.0193796[/C][/ROW]
[ROW][C]262[/C][C]0.994441[/C][C]0.0111171[/C][C]0.00555853[/C][/ROW]
[ROW][C]263[/C][C]0.98984[/C][C]0.0203205[/C][C]0.0101603[/C][/ROW]
[ROW][C]264[/C][C]0.98295[/C][C]0.034101[/C][C]0.0170505[/C][/ROW]
[ROW][C]265[/C][C]0.967127[/C][C]0.0657458[/C][C]0.0328729[/C][/ROW]
[ROW][C]266[/C][C]0.954035[/C][C]0.0919297[/C][C]0.0459648[/C][/ROW]
[ROW][C]267[/C][C]0.917677[/C][C]0.164645[/C][C]0.0823225[/C][/ROW]
[ROW][C]268[/C][C]0.973574[/C][C]0.0528517[/C][C]0.0264258[/C][/ROW]
[ROW][C]269[/C][C]0.977442[/C][C]0.045117[/C][C]0.0225585[/C][/ROW]
[ROW][C]270[/C][C]0.942657[/C][C]0.114686[/C][C]0.057343[/C][/ROW]
[ROW][C]271[/C][C]0.861732[/C][C]0.276536[/C][C]0.138268[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265938&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265938&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
60.9307350.138530.0692651
70.878920.2421610.12108
80.830720.338560.16928
90.7952570.4094860.204743
100.7074610.5850790.292539
110.6361730.7276550.363827
120.539020.921960.46098
130.4767370.9534740.523263
140.5719840.8560320.428016
150.4856450.9712910.514355
160.4112910.8225810.588709
170.3544230.7088470.645577
180.3282920.6565850.671708
190.2669920.5339840.733008
200.344770.689540.65523
210.3112830.6225670.688717
220.2532650.506530.746735
230.298490.5969810.70151
240.247730.4954590.75227
250.2064830.4129670.793517
260.2407770.4815540.759223
270.2289650.457930.771035
280.1903330.3806650.809667
290.1631990.3263980.836801
300.1577050.315410.842295
310.1242070.2484140.875793
320.115140.230280.88486
330.1052370.2104750.894763
340.08471210.1694240.915288
350.06579150.1315830.934208
360.05018050.1003610.94982
370.04039940.08079880.959601
380.03749270.07498550.962507
390.02796470.05592950.972035
400.06599420.1319880.934006
410.05848540.1169710.941515
420.04839130.09678260.951609
430.0430430.08608610.956957
440.04092860.08185730.959071
450.0315720.06314390.968428
460.02363690.04727370.976363
470.04076530.08153050.959235
480.04889930.09779850.951101
490.04623130.09246260.953769
500.03638140.07276280.963619
510.06950060.1390010.930499
520.05727850.1145570.942722
530.04998340.09996670.950017
540.05343170.1068630.946568
550.04350110.08700220.956499
560.1055690.2111390.894431
570.1530420.3060840.846958
580.1400320.2800640.859968
590.1414720.2829450.858528
600.1289230.2578450.871077
610.115510.2310190.88449
620.1432940.2865880.856706
630.2124530.4249060.787547
640.1987740.3975480.801226
650.1853530.3707070.814647
660.1656720.3313440.834328
670.1595220.3190440.840478
680.1710440.3420890.828956
690.1514670.3029350.848533
700.1332350.266470.866765
710.1154280.2308570.884572
720.105810.211620.89419
730.114570.2291390.88543
740.105740.2114810.89426
750.09829380.1965880.901706
760.09143390.1828680.908566
770.08796780.1759360.912032
780.08003230.1600650.919968
790.1118230.2236450.888177
800.09970130.1994030.900299
810.1052480.2104950.894752
820.09348120.1869620.906519
830.1734860.3469720.826514
840.1655350.3310710.834465
850.1467210.2934420.853279
860.1282160.2564330.871784
870.1129260.2258520.887074
880.1252640.2505280.874736
890.1310410.2620810.868959
900.1256560.2513110.874344
910.240650.4813010.75935
920.2195050.439010.780495
930.226190.4523810.77381
940.2833830.5667660.716617
950.2814060.5628110.718594
960.3002910.6005820.699709
970.2771380.5542770.722862
980.3009230.6018460.699077
990.406280.812560.59372
1000.3821350.7642690.617865
1010.3645770.7291540.635423
1020.3810690.7621390.618931
1030.394940.7898810.60506
1040.4117950.823590.588205
1050.4516450.9032910.548355
1060.4383590.8767170.561641
1070.6082660.7834680.391734
1080.7282420.5435160.271758
1090.7364790.5270410.263521
1100.7191660.5616670.280834
1110.7024830.5950340.297517
1120.8315650.3368710.168435
1130.8311720.3376550.168828
1140.8622380.2755250.137762
1150.8972810.2054380.102719
1160.9068620.1862760.093138
1170.900390.199220.0996102
1180.9118460.1763080.0881539
1190.945110.109780.0548898
1200.9402630.1194740.0597372
1210.9443050.111390.055695
1220.9511990.09760120.0488006
1230.9612640.07747120.0387356
1240.9628310.07433750.0371688
1250.9573210.08535880.0426794
1260.9570610.08587830.0429391
1270.9525680.09486370.0474319
1280.9647970.07040670.0352034
1290.9618870.0762260.038113
1300.9572610.0854780.042739
1310.9549640.09007270.0450363
1320.9535480.09290390.046452
1330.9470350.1059290.0529647
1340.9404660.1190680.0595342
1350.9324380.1351230.0675615
1360.9509180.09816420.0490821
1370.9640020.07199680.0359984
1380.967760.06448010.03224
1390.967170.06566050.0328303
1400.9618640.07627120.0381356
1410.9624770.07504640.0375232
1420.9565560.08688890.0434444
1430.9609740.07805270.0390263
1440.9559830.08803440.0440172
1450.95950.08100090.0405004
1460.9539340.09213190.0460659
1470.9497030.1005930.0502967
1480.9430130.1139730.0569865
1490.944750.11050.0552498
1500.9676670.06466630.0323331
1510.9652610.06947710.0347386
1520.9632410.07351750.0367588
1530.9614480.07710490.0385524
1540.9624650.07507090.0375354
1550.9566640.08667240.0433362
1560.9644010.07119820.0355991
1570.9689610.06207730.0310386
1580.9636390.07272250.0363612
1590.9575880.0848250.0424125
1600.9721290.05574120.0278706
1610.9696330.06073480.0303674
1620.9648020.07039510.0351975
1630.9697050.060590.030295
1640.9807680.03846420.0192321
1650.976480.04704010.02352
1660.9804420.03911550.0195577
1670.9793860.04122810.0206141
1680.9758690.04826190.024131
1690.9737660.05246880.0262344
1700.9694270.06114620.0305731
1710.9725990.05480110.0274006
1720.9672270.06554550.0327727
1730.9627990.07440120.0372006
1740.9568010.08639750.0431987
1750.9592480.08150320.0407516
1760.9517730.09645380.0482269
1770.9622310.07553870.0377693
1780.9546410.0907180.045359
1790.9652590.06948150.0347408
1800.958710.08257960.0412898
1810.9501850.09963090.0498155
1820.9621120.07577510.0378875
1830.9540660.09186890.0459344
1840.964510.07097930.0354896
1850.9594440.08111160.0405558
1860.9678540.06429190.0321459
1870.9633320.07333540.0366677
1880.9574020.08519680.0425984
1890.9489840.1020320.0510162
1900.9390170.1219650.0609826
1910.9338450.1323110.0661554
1920.9385570.1228860.0614428
1930.9435170.1129650.0564826
1940.9366030.1267940.063397
1950.9324320.1351360.067568
1960.9231220.1537550.0768777
1970.9091420.1817150.0908577
1980.9135130.1729740.0864868
1990.9019060.1961890.0980945
2000.9214070.1571870.0785934
2010.9088390.1823230.0911614
2020.8949150.2101690.105085
2030.8835190.2329620.116481
2040.8768390.2463230.123161
2050.8736770.2526460.126323
2060.8667720.2664550.133228
2070.848970.3020610.15103
2080.8249150.350170.175085
2090.8163390.3673210.183661
2100.792890.4142190.20711
2110.7696810.4606380.230319
2120.7624580.4750840.237542
2130.7312260.5375490.268774
2140.7002110.5995790.299789
2150.6713330.6573330.328667
2160.6530590.6938810.346941
2170.6199040.7601920.380096
2180.5802170.8395660.419783
2190.5532070.8935860.446793
2200.5407560.9184870.459244
2210.5684720.8630560.431528
2220.527320.945360.47268
2230.4842980.9685970.515702
2240.5209260.9581480.479074
2250.494430.9888610.50557
2260.4655570.9311150.534443
2270.4953430.9906850.504657
2280.5323650.935270.467635
2290.5575810.8848380.442419
2300.5698810.8602380.430119
2310.6127760.7744480.387224
2320.5747520.8504960.425248
2330.556910.886180.44309
2340.5446460.9107080.455354
2350.7619660.4760680.238034
2360.7212710.5574590.278729
2370.7046650.590670.295335
2380.6706090.6587810.329391
2390.6429490.7141020.357051
2400.5989060.8021870.401094
2410.6016440.7967120.398356
2420.5639530.8720950.436047
2430.6324140.7351720.367586
2440.6061750.787650.393825
2450.5704340.8591320.429566
2460.5534190.8931620.446581
2470.5404710.9190590.459529
2480.4854430.9708850.514557
2490.4447370.8894750.555263
2500.4563360.9126730.543664
2510.424120.848240.57588
2520.4026570.8053150.597343
2530.371470.742940.62853
2540.3424260.6848510.657574
2550.3651670.7303340.634833
2560.480940.961880.51906
2570.8238530.3522940.176147
2580.7736550.4526890.226345
2590.9937790.01244290.00622143
2600.9892090.02158180.0107909
2610.980620.03875920.0193796
2620.9944410.01111710.00555853
2630.989840.02032050.0101603
2640.982950.0341010.0170505
2650.9671270.06574580.0328729
2660.9540350.09192970.0459648
2670.9176770.1646450.0823225
2680.9735740.05285170.0264258
2690.9774420.0451170.0225585
2700.9426570.1146860.057343
2710.8617320.2765360.138268






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level130.0488722OK
10% type I error level850.319549NOK

\begin{tabular}{lllllllll}
\hline
Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
Description & # significant tests & % significant tests & OK/NOK \tabularnewline
1% type I error level & 0 & 0 & OK \tabularnewline
5% type I error level & 13 & 0.0488722 & OK \tabularnewline
10% type I error level & 85 & 0.319549 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265938&T=6

[TABLE]
[ROW][C]Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity[/C][/ROW]
[ROW][C]Description[/C][C]# significant tests[/C][C]% significant tests[/C][C]OK/NOK[/C][/ROW]
[ROW][C]1% type I error level[/C][C]0[/C][C]0[/C][C]OK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]13[/C][C]0.0488722[/C][C]OK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]85[/C][C]0.319549[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265938&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265938&T=6

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


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

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level130.0488722OK
10% type I error level850.319549NOK


Figures (Output of Computation)

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

Parameters (Session):
Parameters (R input):
par1 = 1 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;
R code (references can be found in the software module):
par3 <- 'No Linear Trend'
par2 <- 'Do not include Seasonal Dummies'
par1 <- ''
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')
}