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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 14:00:54 +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/t1418306466s8a0en7i4ph358u.htm/, Retrieved Thu, 16 May 2024 20:07:20 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=266023, Retrieved Thu, 16 May 2024 20:07:20 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact58

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Multiple Regression] [rekglhrjgaqb] [2014-12-11 14:00:54] [ec52aa8040970d621dae982cb6b68c16] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
6.0 26 50 4
6.5 51 68 5
1.0 57 62 4
1.0 37 54 4
5.5 67 71 9
8.5 43 54 8
6.5 52 65 11
4.5 52 73 4
2.0 43 52 4
5.0 84 84 6
0.5 67 42 4
5.0 49 66 8
5.0 70 65 4
2.5 52 78 4
5.0 58 73 11
5.5 68 75 4
3.5 62 72 4
3.0 43 66 6
4.0 56 70 6
0.5 56 61 4
6.5 74 81 8
4.5 65 71 5
7.5 63 69 4
5.5 58 71 9
4.0 57 72 4
7.5 63 68 7
7.0 53 70 10
4.0 57 68 4
5.5 51 61 4
2.5 64 67 7
5.5 53 76 12
3.5 29 70 7
2.5 54 60 5
4.5 51 77 8
4.5 58 72 5
4.5 43 69 4
6.0 51 71 9
2.5 53 62 7
5.0 54 70 4
0.0 56 64 4
5.0 61 58 4
6.5 47 76 4
5.0 39 52 4
6.0 48 59 7
4.5 50 68 4
5.5 35 76 7
1.0 30 65 4
7.5 68 67 4
6.0 49 59 4
5.0 61 69 4
1.0 67 76 8
5.0 47 63 4
6.5 56 75 4
7.0 50 63 4
4.5 43 60 4
0.0 67 73 7
8.5 62 63 12
3.5 57 70 4
7.5 41 75 4
3.5 54 66 4
6.0 45 63 5
1.5 48 63 15
9.0 61 64 5
3.5 56 70 10
3.5 41 75 9
4.0 43 61 8
6.5 53 60 4
7.5 44 62 5
6.0 66 73 4
5.0 58 61 9
5.5 46 66 4
3.5 37 64 10
7.5 51 59 4
6.5 51 64 4
6.5 56 60 7
6.5 66 56 5
7.0 45 66 4
3.5 37 78 4
1.5 59 53 4
4.0 42 67 4
7.5 38 59 4
4.5 66 66 4
0.0 34 68 6
3.5 53 71 10
5.5 49 66 7
5.0 55 73 4
4.5 49 72 4
2.5 59 71 7
7.5 40 59 4
7.0 58 64 8
0.0 60 66 11
4.5 63 78 6
3.0 56 68 14
1.5 54 73 5
3.5 52 62 4
2.5 34 65 8
5.5 69 68 9
8.0 32 65 4
1.0 48 60 4
5.0 67 71 5
4.5 58 65 4
3.0 57 68 5
3.0 42 64 4
8.0 64 74 4
2.5 58 69 7
7.0 66 76 10
0.0 26 68 4
1.0 61 72 5
3.5 52 67 4
5.5 51 63 4
5.5 55 59 4
0.5 50 73 6
7.5 60 66 4
9 56 62 8
9.5 63 69 5
8.5 61 66 4
7 52 51 17
8 16 56 4
10 46 67 4
7 56 69 8
8.5 52 57 4
9 55 56 7
9.5 50 55 4
4 59 63 4
6 60 67 5
8 52 65 7
5.5 44 47 4
9.5 67 76 4
7.5 52 64 7
7 55 68 11
7.5 37 64 7
8 54 65 4
7 72 71 4
7 51 63 4
6 48 60 4
10 60 68 4
2.5 50 72 4
9 63 70 6
8 33 61 8
6 67 61 23
8.5 46 62 4
6 54 71 8
9 59 71 6
8 61 51 4
9 33 56 7
5.5 47 70 4
5 69 73 4
5.5 52 76 4
9 55 59 10
2 55 68 6
8.5 41 48 5
9 73 52 5
8.5 51 59 4
9 52 60 4
7.5 50 59 5
10 51 57 5
9 60 79 5
7.5 56 60 5
6 56 60 4
10.5 29 59 6
8.5 66 62 4
8 66 59 4
10 73 61 4
10.5 55 71 9
6.5 64 57 18
9.5 40 66 6
8.5 46 63 5
7.5 58 69 4
5 43 58 11
8 61 59 4
10 51 48 10
7 50 66 6
7.5 52 73 8
7.5 54 67 8
9.5 66 61 6
6 61 68 8
10 80 75 4
7 51 62 4
3 56 69 9
6 56 58 9
7 56 60 5
10 53 74 4
7 47 55 4
3.5 25 62 15
8 47 63 10
10 46 69 9
5.5 50 58 7
6 39 58 9
6.5 51 68 6
6.5 58 72 4
8.5 35 62 7
4 58 62 4
9.5 60 65 7
8 62 69 4
8.5 63 66 15
5.5 53 72 4
7 46 62 9
9 67 75 4
8 59 58 4
10 64 66 28
8 38 55 4
6 50 47 4
8 48 72 4
5 48 62 5
9 47 64 4
4.5 66 64 4
8.5 47 19 12
7 63 50 5
8.5 58 68 6
7.5 44 70 6
7.5 51 79 5
5 43 69 4
7 55 71 4
8 38 48 4
5.5 56 66 10
8.5 45 73 7
7.5 50 74 4
7 54 66 7
8 57 71 4
8.5 60 74 4
3.5 55 78 12
6.5 56 75 5
6.5 49 53 8
10.5 37 60 6
8.5 43 50 17
8 59 70 4
10 46 69 5
10 51 65 4
9.5 58 78 5
9 64 78 5
10 53 59 6
7.5 48 72 4
4.5 51 70 4
4.5 47 63 4
0.5 59 63 6
6.5 62 71 8
4.5 62 74 10
5.5 51 67 4
5 64 66 5
6 52 62 4
4 67 80 4
8 50 73 4
10.5 54 67 16
8.5 58 61 4
8 56 73 4
8.5 63 74 4
5.5 31 32 14
7 65 69 5
5 71 69 5
3.5 50 84 5
5 57 64 5
9 47 58 7
8.5 54 60 19
5 47 59 16
9.5 57 78 4
3 43 57 4
1.5 41 60 7
6 63 68 9
0.5 63 68 5
6.5 56 73 14
7.5 51 69 4
4.5 50 67 16
8 22 60 10
9 41 65 5
7.5 59 66 6
8.5 56 74 4
7 66 81 4
9.5 53 72 4
6.5 42 55 5
9.5 52 49 4
6 54 74 4
8 44 53 5
9.5 62 64 4
8 53 65 4
8 50 57 5
9 36 51 8
5 76 80 15

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time8 seconds
R Server'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 & 8 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266023&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]8 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266023&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266023&T=0

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


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time8 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net






Multiple Linear Regression - Estimated Regression Equation
Ex[t] = + 7.8785 + 0.020046AMS.I[t] -0.0430188AMS.E[t] + 0.00517141AMS.A[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
Ex[t] =  +  7.8785 +  0.020046AMS.I[t] -0.0430188AMS.E[t] +  0.00517141AMS.A[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266023&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]Ex[t] =  +  7.8785 +  0.020046AMS.I[t] -0.0430188AMS.E[t] +  0.00517141AMS.A[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266023&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266023&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] = + 7.8785 + 0.020046AMS.I[t] -0.0430188AMS.E[t] + 0.00517141AMS.A[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)7.87851.329265.9279.28201e-094.641e-09
AMS.I0.0200460.01572131.2750.2033620.101681
AMS.E-0.04301880.0197053-2.1830.02988010.01494
AMS.A0.005171410.04383680.1180.9061780.453089

\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) & 7.8785 & 1.32926 & 5.927 & 9.28201e-09 & 4.641e-09 \tabularnewline
AMS.I & 0.020046 & 0.0157213 & 1.275 & 0.203362 & 0.101681 \tabularnewline
AMS.E & -0.0430188 & 0.0197053 & -2.183 & 0.0298801 & 0.01494 \tabularnewline
AMS.A & 0.00517141 & 0.0438368 & 0.118 & 0.906178 & 0.453089 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266023&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]7.8785[/C][C]1.32926[/C][C]5.927[/C][C]9.28201e-09[/C][C]4.641e-09[/C][/ROW]
[ROW][C]AMS.I[/C][C]0.020046[/C][C]0.0157213[/C][C]1.275[/C][C]0.203362[/C][C]0.101681[/C][/ROW]
[ROW][C]AMS.E[/C][C]-0.0430188[/C][C]0.0197053[/C][C]-2.183[/C][C]0.0298801[/C][C]0.01494[/C][/ROW]
[ROW][C]AMS.A[/C][C]0.00517141[/C][C]0.0438368[/C][C]0.118[/C][C]0.906178[/C][C]0.453089[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266023&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266023&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)7.87851.329265.9279.28201e-094.641e-09
AMS.I0.0200460.01572131.2750.2033620.101681
AMS.E-0.04301880.0197053-2.1830.02988010.01494
AMS.A0.005171410.04383680.1180.9061780.453089






Multiple Linear Regression - Regression Statistics
Multiple R0.136702
R-squared0.0186874
Adjusted R-squared0.00790371
F-TEST (value)1.73293
F-TEST (DF numerator)3
F-TEST (DF denominator)273
p-value0.160495
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.51716
Sum Squared Residuals1729.75

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.136702 \tabularnewline
R-squared & 0.0186874 \tabularnewline
Adjusted R-squared & 0.00790371 \tabularnewline
F-TEST (value) & 1.73293 \tabularnewline
F-TEST (DF numerator) & 3 \tabularnewline
F-TEST (DF denominator) & 273 \tabularnewline
p-value & 0.160495 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 2.51716 \tabularnewline
Sum Squared Residuals & 1729.75 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266023&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.136702[/C][/ROW]
[ROW][C]R-squared[/C][C]0.0186874[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.00790371[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]1.73293[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]3[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]273[/C][/ROW]
[ROW][C]p-value[/C][C]0.160495[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]2.51716[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]1729.75[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266023&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266023&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 R0.136702
R-squared0.0186874
Adjusted R-squared0.00790371
F-TEST (value)1.73293
F-TEST (DF numerator)3
F-TEST (DF denominator)273
p-value0.160495
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.51716
Sum Squared Residuals1729.75






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
166.26944-0.269438
26.56.001420.498579
316.37464-5.37464
416.31787-5.31787
55.56.21379-0.713786
68.56.458832.04117
76.56.181550.318448
84.55.8012-1.3012
926.52418-4.52418
1055.97981-0.97981
110.57.43547-6.93547
1256.06288-1.06288
1356.50618-1.50618
142.55.58611-3.08611
1555.95768-0.957678
165.56.0359-0.5359
173.56.04468-2.54468
1835.93226-2.93226
1946.02078-2.02078
200.56.39761-5.89761
216.55.918750.581251
224.56.15301-1.65301
237.56.193781.30622
245.56.03337-0.533372
2545.94445-1.94445
267.56.252321.24768
2775.981331.01867
2846.11653-2.11653
295.56.29738-0.797381
302.56.31538-3.81538
315.55.73356-0.233563
323.55.48471-1.98471
332.56.40571-3.90571
344.55.62977-1.12977
354.55.96967-1.46967
364.55.79286-1.29286
3765.893050.10695
382.56.30997-3.80997
3955.97035-0.97035
4006.26855-6.26855
4156.6269-1.6269
426.55.571920.928085
4356.444-1.444
4466.33879-0.338795
454.55.9762-1.4762
465.55.346880.153122
4715.70434-4.70434
487.56.380051.11995
4966.34333-0.343327
5056.15369-1.15369
5115.99352-4.99352
5256.13116-1.13116
536.55.795350.704652
5476.19130.808702
554.56.18003-1.68003
5606.11741-6.11741
578.56.473222.02678
583.56.03049-2.53049
597.55.494662.00534
603.56.14243-2.64243
6166.09624-0.096239
621.56.20809-4.70809
6396.373962.62604
643.56.04147-2.54147
653.55.52052-2.02052
6646.1577-2.1577
676.56.380490.119508
687.56.119211.38079
6966.08185-0.0818457
7056.46356-1.46356
715.55.98206-0.482057
723.55.91871-2.41871
737.56.383421.11658
746.56.168320.331675
756.56.456140.0438559
766.56.81834-0.318336
7775.962011.03799
783.55.28542-1.78542
791.56.8019-5.3019
8045.85885-1.85885
817.56.122821.37718
824.56.38298-1.88298
8305.66581-5.66581
843.55.93831-2.43831
855.56.05771-0.557709
8655.86134-0.86134
874.55.78408-1.28408
882.56.04308-3.54308
897.56.162911.33709
9076.329330.670668
9106.2989-6.2989
924.55.81696-1.31696
9336.14819-3.14819
941.55.84647-4.34647
953.56.27441-2.77441
962.55.80521-3.30521
975.56.38293-0.882935
9885.744432.25557
9916.28026-5.28026
10056.1931-1.1931
1014.56.26563-1.76563
10236.1217-3.1217
10335.98791-2.98791
10485.998732.00127
1052.56.10907-3.60907
10675.983821.01618
10705.4951-5.4951
10816.02981-5.02981
1093.56.05931-2.55931
1105.56.21134-0.711344
1115.56.4636-0.963603
1120.55.77145-5.27145
1137.56.26271.2373
11496.375282.62472
1159.56.198953.30105
1168.56.282752.21725
11776.814840.185157
11885.810872.18913
119105.939044.06096
12076.074150.925854
1218.56.48952.0105
12296.608172.39183
1239.56.535452.96455
12446.37171-2.37171
12566.22485-0.224854
12686.160871.83913
1275.56.75932-1.25932
1289.55.972843.52716
1297.56.203891.29611
13076.112630.887366
1317.55.90321.5968
13286.185441.81456
13376.288160.711841
13476.211340.788656
13566.28026-0.280262
136106.176663.82334
1372.55.80413-3.30413
13896.161112.83889
13985.957242.04276
14066.71637-0.716374
1418.56.154132.34587
14265.948020.051983
14396.03792.9621
14486.928031.07197
14596.167162.83284
1465.55.83003-0.330028
14756.14198-1.14198
1485.55.67215-0.172145
14996.494632.50537
15026.08678-4.08678
1518.56.661341.83866
15297.130731.86927
1538.56.383422.11658
15496.360452.63955
1557.56.368541.13146
156106.474633.52537
15795.708633.29137
1587.56.44581.0542
15966.44063-0.44063
16010.55.952754.54725
1618.56.555051.94495
16286.684111.31589
163106.738393.26161
16410.55.973234.52677
1656.56.80245-0.302454
1669.55.872123.62788
1678.56.116292.38371
1687.56.093551.40645
16956.30227-1.30227
17086.583881.41612
171106.887653.11235
17276.072580.927416
1737.55.821891.67811
1747.56.120091.37991
1759.56.608412.89159
17666.2174-0.217395
177106.276453.72355
17876.254360.745638
17936.07932-3.07932
18066.55252-0.552524
18176.44580.554199
182105.778234.22177
18376.475310.52469
1843.55.79005-2.29005
18586.162191.83781
186105.878864.12114
1875.56.42191-0.921906
18866.21174-0.211743
1896.56.006590.493408
1906.55.96450.535503
1918.55.949142.55086
19246.39468-2.39468
1939.56.321233.17877
19486.173741.82626
1958.56.379722.12028
1965.55.86427-0.364267
19776.179990.820011
19896.015852.98415
19986.586811.41319
200106.4673.533
20186.29491.7051
20266.8796-0.879598
20385.764042.23596
20456.1994-1.1994
20596.088142.91186
2064.56.46901-1.96901
2078.58.065360.434643
20877.01631-0.016311
2098.56.146912.35309
2107.55.780231.71977
2117.55.528211.97179
21255.79286-0.792863
21375.947381.05262
21486.596031.40397
2155.56.21355-0.713546
2168.55.676392.82361
2177.55.718091.78191
21876.157940.842061
21985.987472.01253
2208.55.918552.58145
2213.55.68762-2.18762
2226.55.800520.69948
2236.56.62212-0.122125
22410.56.07014.4299
2258.56.677451.82255
22686.070581.92942
227105.858174.14183
228106.125313.87469
2299.55.711563.78844
23095.831833.16817
231106.433853.56615
2327.55.764041.73596
2334.55.91021-1.41021
2344.56.13116-1.63116
2350.56.38205-5.88205
2366.56.108380.391615
2374.55.98967-1.48967
2385.56.03927-0.539268
23956.34806-1.34806
24066.27441-0.274408
24145.80076-1.80076
24285.761112.23889
24310.56.161464.33854
2448.56.43772.0623
24585.881392.11861
2468.55.978692.52131
2475.57.19572-1.69572
24876.239050.760954
24956.35932-1.35932
2503.55.29307-1.79307
25156.29377-1.29377
25296.361772.63823
2538.56.478112.02189
25456.36529-1.36529
2559.55.686343.81366
25636.30909-3.30909
2571.56.15545-4.65545
25866.26266-0.262659
2590.56.24197-5.74197
2606.55.93310.5669
2617.55.953231.54677
2624.56.08128-1.58128
26385.790092.20991
26495.930023.06998
2657.56.2531.247
2668.55.838372.66163
26775.73771.2623
2689.55.864273.63573
2696.56.380250.119749
2709.56.833652.66635
27165.798270.201725
27286.506381.49362
2739.56.388833.11117
27486.16541.8346
27586.454581.54542
27696.447562.55244
27756.03806-1.03806

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 6 & 6.26944 & -0.269438 \tabularnewline
2 & 6.5 & 6.00142 & 0.498579 \tabularnewline
3 & 1 & 6.37464 & -5.37464 \tabularnewline
4 & 1 & 6.31787 & -5.31787 \tabularnewline
5 & 5.5 & 6.21379 & -0.713786 \tabularnewline
6 & 8.5 & 6.45883 & 2.04117 \tabularnewline
7 & 6.5 & 6.18155 & 0.318448 \tabularnewline
8 & 4.5 & 5.8012 & -1.3012 \tabularnewline
9 & 2 & 6.52418 & -4.52418 \tabularnewline
10 & 5 & 5.97981 & -0.97981 \tabularnewline
11 & 0.5 & 7.43547 & -6.93547 \tabularnewline
12 & 5 & 6.06288 & -1.06288 \tabularnewline
13 & 5 & 6.50618 & -1.50618 \tabularnewline
14 & 2.5 & 5.58611 & -3.08611 \tabularnewline
15 & 5 & 5.95768 & -0.957678 \tabularnewline
16 & 5.5 & 6.0359 & -0.5359 \tabularnewline
17 & 3.5 & 6.04468 & -2.54468 \tabularnewline
18 & 3 & 5.93226 & -2.93226 \tabularnewline
19 & 4 & 6.02078 & -2.02078 \tabularnewline
20 & 0.5 & 6.39761 & -5.89761 \tabularnewline
21 & 6.5 & 5.91875 & 0.581251 \tabularnewline
22 & 4.5 & 6.15301 & -1.65301 \tabularnewline
23 & 7.5 & 6.19378 & 1.30622 \tabularnewline
24 & 5.5 & 6.03337 & -0.533372 \tabularnewline
25 & 4 & 5.94445 & -1.94445 \tabularnewline
26 & 7.5 & 6.25232 & 1.24768 \tabularnewline
27 & 7 & 5.98133 & 1.01867 \tabularnewline
28 & 4 & 6.11653 & -2.11653 \tabularnewline
29 & 5.5 & 6.29738 & -0.797381 \tabularnewline
30 & 2.5 & 6.31538 & -3.81538 \tabularnewline
31 & 5.5 & 5.73356 & -0.233563 \tabularnewline
32 & 3.5 & 5.48471 & -1.98471 \tabularnewline
33 & 2.5 & 6.40571 & -3.90571 \tabularnewline
34 & 4.5 & 5.62977 & -1.12977 \tabularnewline
35 & 4.5 & 5.96967 & -1.46967 \tabularnewline
36 & 4.5 & 5.79286 & -1.29286 \tabularnewline
37 & 6 & 5.89305 & 0.10695 \tabularnewline
38 & 2.5 & 6.30997 & -3.80997 \tabularnewline
39 & 5 & 5.97035 & -0.97035 \tabularnewline
40 & 0 & 6.26855 & -6.26855 \tabularnewline
41 & 5 & 6.6269 & -1.6269 \tabularnewline
42 & 6.5 & 5.57192 & 0.928085 \tabularnewline
43 & 5 & 6.444 & -1.444 \tabularnewline
44 & 6 & 6.33879 & -0.338795 \tabularnewline
45 & 4.5 & 5.9762 & -1.4762 \tabularnewline
46 & 5.5 & 5.34688 & 0.153122 \tabularnewline
47 & 1 & 5.70434 & -4.70434 \tabularnewline
48 & 7.5 & 6.38005 & 1.11995 \tabularnewline
49 & 6 & 6.34333 & -0.343327 \tabularnewline
50 & 5 & 6.15369 & -1.15369 \tabularnewline
51 & 1 & 5.99352 & -4.99352 \tabularnewline
52 & 5 & 6.13116 & -1.13116 \tabularnewline
53 & 6.5 & 5.79535 & 0.704652 \tabularnewline
54 & 7 & 6.1913 & 0.808702 \tabularnewline
55 & 4.5 & 6.18003 & -1.68003 \tabularnewline
56 & 0 & 6.11741 & -6.11741 \tabularnewline
57 & 8.5 & 6.47322 & 2.02678 \tabularnewline
58 & 3.5 & 6.03049 & -2.53049 \tabularnewline
59 & 7.5 & 5.49466 & 2.00534 \tabularnewline
60 & 3.5 & 6.14243 & -2.64243 \tabularnewline
61 & 6 & 6.09624 & -0.096239 \tabularnewline
62 & 1.5 & 6.20809 & -4.70809 \tabularnewline
63 & 9 & 6.37396 & 2.62604 \tabularnewline
64 & 3.5 & 6.04147 & -2.54147 \tabularnewline
65 & 3.5 & 5.52052 & -2.02052 \tabularnewline
66 & 4 & 6.1577 & -2.1577 \tabularnewline
67 & 6.5 & 6.38049 & 0.119508 \tabularnewline
68 & 7.5 & 6.11921 & 1.38079 \tabularnewline
69 & 6 & 6.08185 & -0.0818457 \tabularnewline
70 & 5 & 6.46356 & -1.46356 \tabularnewline
71 & 5.5 & 5.98206 & -0.482057 \tabularnewline
72 & 3.5 & 5.91871 & -2.41871 \tabularnewline
73 & 7.5 & 6.38342 & 1.11658 \tabularnewline
74 & 6.5 & 6.16832 & 0.331675 \tabularnewline
75 & 6.5 & 6.45614 & 0.0438559 \tabularnewline
76 & 6.5 & 6.81834 & -0.318336 \tabularnewline
77 & 7 & 5.96201 & 1.03799 \tabularnewline
78 & 3.5 & 5.28542 & -1.78542 \tabularnewline
79 & 1.5 & 6.8019 & -5.3019 \tabularnewline
80 & 4 & 5.85885 & -1.85885 \tabularnewline
81 & 7.5 & 6.12282 & 1.37718 \tabularnewline
82 & 4.5 & 6.38298 & -1.88298 \tabularnewline
83 & 0 & 5.66581 & -5.66581 \tabularnewline
84 & 3.5 & 5.93831 & -2.43831 \tabularnewline
85 & 5.5 & 6.05771 & -0.557709 \tabularnewline
86 & 5 & 5.86134 & -0.86134 \tabularnewline
87 & 4.5 & 5.78408 & -1.28408 \tabularnewline
88 & 2.5 & 6.04308 & -3.54308 \tabularnewline
89 & 7.5 & 6.16291 & 1.33709 \tabularnewline
90 & 7 & 6.32933 & 0.670668 \tabularnewline
91 & 0 & 6.2989 & -6.2989 \tabularnewline
92 & 4.5 & 5.81696 & -1.31696 \tabularnewline
93 & 3 & 6.14819 & -3.14819 \tabularnewline
94 & 1.5 & 5.84647 & -4.34647 \tabularnewline
95 & 3.5 & 6.27441 & -2.77441 \tabularnewline
96 & 2.5 & 5.80521 & -3.30521 \tabularnewline
97 & 5.5 & 6.38293 & -0.882935 \tabularnewline
98 & 8 & 5.74443 & 2.25557 \tabularnewline
99 & 1 & 6.28026 & -5.28026 \tabularnewline
100 & 5 & 6.1931 & -1.1931 \tabularnewline
101 & 4.5 & 6.26563 & -1.76563 \tabularnewline
102 & 3 & 6.1217 & -3.1217 \tabularnewline
103 & 3 & 5.98791 & -2.98791 \tabularnewline
104 & 8 & 5.99873 & 2.00127 \tabularnewline
105 & 2.5 & 6.10907 & -3.60907 \tabularnewline
106 & 7 & 5.98382 & 1.01618 \tabularnewline
107 & 0 & 5.4951 & -5.4951 \tabularnewline
108 & 1 & 6.02981 & -5.02981 \tabularnewline
109 & 3.5 & 6.05931 & -2.55931 \tabularnewline
110 & 5.5 & 6.21134 & -0.711344 \tabularnewline
111 & 5.5 & 6.4636 & -0.963603 \tabularnewline
112 & 0.5 & 5.77145 & -5.27145 \tabularnewline
113 & 7.5 & 6.2627 & 1.2373 \tabularnewline
114 & 9 & 6.37528 & 2.62472 \tabularnewline
115 & 9.5 & 6.19895 & 3.30105 \tabularnewline
116 & 8.5 & 6.28275 & 2.21725 \tabularnewline
117 & 7 & 6.81484 & 0.185157 \tabularnewline
118 & 8 & 5.81087 & 2.18913 \tabularnewline
119 & 10 & 5.93904 & 4.06096 \tabularnewline
120 & 7 & 6.07415 & 0.925854 \tabularnewline
121 & 8.5 & 6.4895 & 2.0105 \tabularnewline
122 & 9 & 6.60817 & 2.39183 \tabularnewline
123 & 9.5 & 6.53545 & 2.96455 \tabularnewline
124 & 4 & 6.37171 & -2.37171 \tabularnewline
125 & 6 & 6.22485 & -0.224854 \tabularnewline
126 & 8 & 6.16087 & 1.83913 \tabularnewline
127 & 5.5 & 6.75932 & -1.25932 \tabularnewline
128 & 9.5 & 5.97284 & 3.52716 \tabularnewline
129 & 7.5 & 6.20389 & 1.29611 \tabularnewline
130 & 7 & 6.11263 & 0.887366 \tabularnewline
131 & 7.5 & 5.9032 & 1.5968 \tabularnewline
132 & 8 & 6.18544 & 1.81456 \tabularnewline
133 & 7 & 6.28816 & 0.711841 \tabularnewline
134 & 7 & 6.21134 & 0.788656 \tabularnewline
135 & 6 & 6.28026 & -0.280262 \tabularnewline
136 & 10 & 6.17666 & 3.82334 \tabularnewline
137 & 2.5 & 5.80413 & -3.30413 \tabularnewline
138 & 9 & 6.16111 & 2.83889 \tabularnewline
139 & 8 & 5.95724 & 2.04276 \tabularnewline
140 & 6 & 6.71637 & -0.716374 \tabularnewline
141 & 8.5 & 6.15413 & 2.34587 \tabularnewline
142 & 6 & 5.94802 & 0.051983 \tabularnewline
143 & 9 & 6.0379 & 2.9621 \tabularnewline
144 & 8 & 6.92803 & 1.07197 \tabularnewline
145 & 9 & 6.16716 & 2.83284 \tabularnewline
146 & 5.5 & 5.83003 & -0.330028 \tabularnewline
147 & 5 & 6.14198 & -1.14198 \tabularnewline
148 & 5.5 & 5.67215 & -0.172145 \tabularnewline
149 & 9 & 6.49463 & 2.50537 \tabularnewline
150 & 2 & 6.08678 & -4.08678 \tabularnewline
151 & 8.5 & 6.66134 & 1.83866 \tabularnewline
152 & 9 & 7.13073 & 1.86927 \tabularnewline
153 & 8.5 & 6.38342 & 2.11658 \tabularnewline
154 & 9 & 6.36045 & 2.63955 \tabularnewline
155 & 7.5 & 6.36854 & 1.13146 \tabularnewline
156 & 10 & 6.47463 & 3.52537 \tabularnewline
157 & 9 & 5.70863 & 3.29137 \tabularnewline
158 & 7.5 & 6.4458 & 1.0542 \tabularnewline
159 & 6 & 6.44063 & -0.44063 \tabularnewline
160 & 10.5 & 5.95275 & 4.54725 \tabularnewline
161 & 8.5 & 6.55505 & 1.94495 \tabularnewline
162 & 8 & 6.68411 & 1.31589 \tabularnewline
163 & 10 & 6.73839 & 3.26161 \tabularnewline
164 & 10.5 & 5.97323 & 4.52677 \tabularnewline
165 & 6.5 & 6.80245 & -0.302454 \tabularnewline
166 & 9.5 & 5.87212 & 3.62788 \tabularnewline
167 & 8.5 & 6.11629 & 2.38371 \tabularnewline
168 & 7.5 & 6.09355 & 1.40645 \tabularnewline
169 & 5 & 6.30227 & -1.30227 \tabularnewline
170 & 8 & 6.58388 & 1.41612 \tabularnewline
171 & 10 & 6.88765 & 3.11235 \tabularnewline
172 & 7 & 6.07258 & 0.927416 \tabularnewline
173 & 7.5 & 5.82189 & 1.67811 \tabularnewline
174 & 7.5 & 6.12009 & 1.37991 \tabularnewline
175 & 9.5 & 6.60841 & 2.89159 \tabularnewline
176 & 6 & 6.2174 & -0.217395 \tabularnewline
177 & 10 & 6.27645 & 3.72355 \tabularnewline
178 & 7 & 6.25436 & 0.745638 \tabularnewline
179 & 3 & 6.07932 & -3.07932 \tabularnewline
180 & 6 & 6.55252 & -0.552524 \tabularnewline
181 & 7 & 6.4458 & 0.554199 \tabularnewline
182 & 10 & 5.77823 & 4.22177 \tabularnewline
183 & 7 & 6.47531 & 0.52469 \tabularnewline
184 & 3.5 & 5.79005 & -2.29005 \tabularnewline
185 & 8 & 6.16219 & 1.83781 \tabularnewline
186 & 10 & 5.87886 & 4.12114 \tabularnewline
187 & 5.5 & 6.42191 & -0.921906 \tabularnewline
188 & 6 & 6.21174 & -0.211743 \tabularnewline
189 & 6.5 & 6.00659 & 0.493408 \tabularnewline
190 & 6.5 & 5.9645 & 0.535503 \tabularnewline
191 & 8.5 & 5.94914 & 2.55086 \tabularnewline
192 & 4 & 6.39468 & -2.39468 \tabularnewline
193 & 9.5 & 6.32123 & 3.17877 \tabularnewline
194 & 8 & 6.17374 & 1.82626 \tabularnewline
195 & 8.5 & 6.37972 & 2.12028 \tabularnewline
196 & 5.5 & 5.86427 & -0.364267 \tabularnewline
197 & 7 & 6.17999 & 0.820011 \tabularnewline
198 & 9 & 6.01585 & 2.98415 \tabularnewline
199 & 8 & 6.58681 & 1.41319 \tabularnewline
200 & 10 & 6.467 & 3.533 \tabularnewline
201 & 8 & 6.2949 & 1.7051 \tabularnewline
202 & 6 & 6.8796 & -0.879598 \tabularnewline
203 & 8 & 5.76404 & 2.23596 \tabularnewline
204 & 5 & 6.1994 & -1.1994 \tabularnewline
205 & 9 & 6.08814 & 2.91186 \tabularnewline
206 & 4.5 & 6.46901 & -1.96901 \tabularnewline
207 & 8.5 & 8.06536 & 0.434643 \tabularnewline
208 & 7 & 7.01631 & -0.016311 \tabularnewline
209 & 8.5 & 6.14691 & 2.35309 \tabularnewline
210 & 7.5 & 5.78023 & 1.71977 \tabularnewline
211 & 7.5 & 5.52821 & 1.97179 \tabularnewline
212 & 5 & 5.79286 & -0.792863 \tabularnewline
213 & 7 & 5.94738 & 1.05262 \tabularnewline
214 & 8 & 6.59603 & 1.40397 \tabularnewline
215 & 5.5 & 6.21355 & -0.713546 \tabularnewline
216 & 8.5 & 5.67639 & 2.82361 \tabularnewline
217 & 7.5 & 5.71809 & 1.78191 \tabularnewline
218 & 7 & 6.15794 & 0.842061 \tabularnewline
219 & 8 & 5.98747 & 2.01253 \tabularnewline
220 & 8.5 & 5.91855 & 2.58145 \tabularnewline
221 & 3.5 & 5.68762 & -2.18762 \tabularnewline
222 & 6.5 & 5.80052 & 0.69948 \tabularnewline
223 & 6.5 & 6.62212 & -0.122125 \tabularnewline
224 & 10.5 & 6.0701 & 4.4299 \tabularnewline
225 & 8.5 & 6.67745 & 1.82255 \tabularnewline
226 & 8 & 6.07058 & 1.92942 \tabularnewline
227 & 10 & 5.85817 & 4.14183 \tabularnewline
228 & 10 & 6.12531 & 3.87469 \tabularnewline
229 & 9.5 & 5.71156 & 3.78844 \tabularnewline
230 & 9 & 5.83183 & 3.16817 \tabularnewline
231 & 10 & 6.43385 & 3.56615 \tabularnewline
232 & 7.5 & 5.76404 & 1.73596 \tabularnewline
233 & 4.5 & 5.91021 & -1.41021 \tabularnewline
234 & 4.5 & 6.13116 & -1.63116 \tabularnewline
235 & 0.5 & 6.38205 & -5.88205 \tabularnewline
236 & 6.5 & 6.10838 & 0.391615 \tabularnewline
237 & 4.5 & 5.98967 & -1.48967 \tabularnewline
238 & 5.5 & 6.03927 & -0.539268 \tabularnewline
239 & 5 & 6.34806 & -1.34806 \tabularnewline
240 & 6 & 6.27441 & -0.274408 \tabularnewline
241 & 4 & 5.80076 & -1.80076 \tabularnewline
242 & 8 & 5.76111 & 2.23889 \tabularnewline
243 & 10.5 & 6.16146 & 4.33854 \tabularnewline
244 & 8.5 & 6.4377 & 2.0623 \tabularnewline
245 & 8 & 5.88139 & 2.11861 \tabularnewline
246 & 8.5 & 5.97869 & 2.52131 \tabularnewline
247 & 5.5 & 7.19572 & -1.69572 \tabularnewline
248 & 7 & 6.23905 & 0.760954 \tabularnewline
249 & 5 & 6.35932 & -1.35932 \tabularnewline
250 & 3.5 & 5.29307 & -1.79307 \tabularnewline
251 & 5 & 6.29377 & -1.29377 \tabularnewline
252 & 9 & 6.36177 & 2.63823 \tabularnewline
253 & 8.5 & 6.47811 & 2.02189 \tabularnewline
254 & 5 & 6.36529 & -1.36529 \tabularnewline
255 & 9.5 & 5.68634 & 3.81366 \tabularnewline
256 & 3 & 6.30909 & -3.30909 \tabularnewline
257 & 1.5 & 6.15545 & -4.65545 \tabularnewline
258 & 6 & 6.26266 & -0.262659 \tabularnewline
259 & 0.5 & 6.24197 & -5.74197 \tabularnewline
260 & 6.5 & 5.9331 & 0.5669 \tabularnewline
261 & 7.5 & 5.95323 & 1.54677 \tabularnewline
262 & 4.5 & 6.08128 & -1.58128 \tabularnewline
263 & 8 & 5.79009 & 2.20991 \tabularnewline
264 & 9 & 5.93002 & 3.06998 \tabularnewline
265 & 7.5 & 6.253 & 1.247 \tabularnewline
266 & 8.5 & 5.83837 & 2.66163 \tabularnewline
267 & 7 & 5.7377 & 1.2623 \tabularnewline
268 & 9.5 & 5.86427 & 3.63573 \tabularnewline
269 & 6.5 & 6.38025 & 0.119749 \tabularnewline
270 & 9.5 & 6.83365 & 2.66635 \tabularnewline
271 & 6 & 5.79827 & 0.201725 \tabularnewline
272 & 8 & 6.50638 & 1.49362 \tabularnewline
273 & 9.5 & 6.38883 & 3.11117 \tabularnewline
274 & 8 & 6.1654 & 1.8346 \tabularnewline
275 & 8 & 6.45458 & 1.54542 \tabularnewline
276 & 9 & 6.44756 & 2.55244 \tabularnewline
277 & 5 & 6.03806 & -1.03806 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266023&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]6.26944[/C][C]-0.269438[/C][/ROW]
[ROW][C]2[/C][C]6.5[/C][C]6.00142[/C][C]0.498579[/C][/ROW]
[ROW][C]3[/C][C]1[/C][C]6.37464[/C][C]-5.37464[/C][/ROW]
[ROW][C]4[/C][C]1[/C][C]6.31787[/C][C]-5.31787[/C][/ROW]
[ROW][C]5[/C][C]5.5[/C][C]6.21379[/C][C]-0.713786[/C][/ROW]
[ROW][C]6[/C][C]8.5[/C][C]6.45883[/C][C]2.04117[/C][/ROW]
[ROW][C]7[/C][C]6.5[/C][C]6.18155[/C][C]0.318448[/C][/ROW]
[ROW][C]8[/C][C]4.5[/C][C]5.8012[/C][C]-1.3012[/C][/ROW]
[ROW][C]9[/C][C]2[/C][C]6.52418[/C][C]-4.52418[/C][/ROW]
[ROW][C]10[/C][C]5[/C][C]5.97981[/C][C]-0.97981[/C][/ROW]
[ROW][C]11[/C][C]0.5[/C][C]7.43547[/C][C]-6.93547[/C][/ROW]
[ROW][C]12[/C][C]5[/C][C]6.06288[/C][C]-1.06288[/C][/ROW]
[ROW][C]13[/C][C]5[/C][C]6.50618[/C][C]-1.50618[/C][/ROW]
[ROW][C]14[/C][C]2.5[/C][C]5.58611[/C][C]-3.08611[/C][/ROW]
[ROW][C]15[/C][C]5[/C][C]5.95768[/C][C]-0.957678[/C][/ROW]
[ROW][C]16[/C][C]5.5[/C][C]6.0359[/C][C]-0.5359[/C][/ROW]
[ROW][C]17[/C][C]3.5[/C][C]6.04468[/C][C]-2.54468[/C][/ROW]
[ROW][C]18[/C][C]3[/C][C]5.93226[/C][C]-2.93226[/C][/ROW]
[ROW][C]19[/C][C]4[/C][C]6.02078[/C][C]-2.02078[/C][/ROW]
[ROW][C]20[/C][C]0.5[/C][C]6.39761[/C][C]-5.89761[/C][/ROW]
[ROW][C]21[/C][C]6.5[/C][C]5.91875[/C][C]0.581251[/C][/ROW]
[ROW][C]22[/C][C]4.5[/C][C]6.15301[/C][C]-1.65301[/C][/ROW]
[ROW][C]23[/C][C]7.5[/C][C]6.19378[/C][C]1.30622[/C][/ROW]
[ROW][C]24[/C][C]5.5[/C][C]6.03337[/C][C]-0.533372[/C][/ROW]
[ROW][C]25[/C][C]4[/C][C]5.94445[/C][C]-1.94445[/C][/ROW]
[ROW][C]26[/C][C]7.5[/C][C]6.25232[/C][C]1.24768[/C][/ROW]
[ROW][C]27[/C][C]7[/C][C]5.98133[/C][C]1.01867[/C][/ROW]
[ROW][C]28[/C][C]4[/C][C]6.11653[/C][C]-2.11653[/C][/ROW]
[ROW][C]29[/C][C]5.5[/C][C]6.29738[/C][C]-0.797381[/C][/ROW]
[ROW][C]30[/C][C]2.5[/C][C]6.31538[/C][C]-3.81538[/C][/ROW]
[ROW][C]31[/C][C]5.5[/C][C]5.73356[/C][C]-0.233563[/C][/ROW]
[ROW][C]32[/C][C]3.5[/C][C]5.48471[/C][C]-1.98471[/C][/ROW]
[ROW][C]33[/C][C]2.5[/C][C]6.40571[/C][C]-3.90571[/C][/ROW]
[ROW][C]34[/C][C]4.5[/C][C]5.62977[/C][C]-1.12977[/C][/ROW]
[ROW][C]35[/C][C]4.5[/C][C]5.96967[/C][C]-1.46967[/C][/ROW]
[ROW][C]36[/C][C]4.5[/C][C]5.79286[/C][C]-1.29286[/C][/ROW]
[ROW][C]37[/C][C]6[/C][C]5.89305[/C][C]0.10695[/C][/ROW]
[ROW][C]38[/C][C]2.5[/C][C]6.30997[/C][C]-3.80997[/C][/ROW]
[ROW][C]39[/C][C]5[/C][C]5.97035[/C][C]-0.97035[/C][/ROW]
[ROW][C]40[/C][C]0[/C][C]6.26855[/C][C]-6.26855[/C][/ROW]
[ROW][C]41[/C][C]5[/C][C]6.6269[/C][C]-1.6269[/C][/ROW]
[ROW][C]42[/C][C]6.5[/C][C]5.57192[/C][C]0.928085[/C][/ROW]
[ROW][C]43[/C][C]5[/C][C]6.444[/C][C]-1.444[/C][/ROW]
[ROW][C]44[/C][C]6[/C][C]6.33879[/C][C]-0.338795[/C][/ROW]
[ROW][C]45[/C][C]4.5[/C][C]5.9762[/C][C]-1.4762[/C][/ROW]
[ROW][C]46[/C][C]5.5[/C][C]5.34688[/C][C]0.153122[/C][/ROW]
[ROW][C]47[/C][C]1[/C][C]5.70434[/C][C]-4.70434[/C][/ROW]
[ROW][C]48[/C][C]7.5[/C][C]6.38005[/C][C]1.11995[/C][/ROW]
[ROW][C]49[/C][C]6[/C][C]6.34333[/C][C]-0.343327[/C][/ROW]
[ROW][C]50[/C][C]5[/C][C]6.15369[/C][C]-1.15369[/C][/ROW]
[ROW][C]51[/C][C]1[/C][C]5.99352[/C][C]-4.99352[/C][/ROW]
[ROW][C]52[/C][C]5[/C][C]6.13116[/C][C]-1.13116[/C][/ROW]
[ROW][C]53[/C][C]6.5[/C][C]5.79535[/C][C]0.704652[/C][/ROW]
[ROW][C]54[/C][C]7[/C][C]6.1913[/C][C]0.808702[/C][/ROW]
[ROW][C]55[/C][C]4.5[/C][C]6.18003[/C][C]-1.68003[/C][/ROW]
[ROW][C]56[/C][C]0[/C][C]6.11741[/C][C]-6.11741[/C][/ROW]
[ROW][C]57[/C][C]8.5[/C][C]6.47322[/C][C]2.02678[/C][/ROW]
[ROW][C]58[/C][C]3.5[/C][C]6.03049[/C][C]-2.53049[/C][/ROW]
[ROW][C]59[/C][C]7.5[/C][C]5.49466[/C][C]2.00534[/C][/ROW]
[ROW][C]60[/C][C]3.5[/C][C]6.14243[/C][C]-2.64243[/C][/ROW]
[ROW][C]61[/C][C]6[/C][C]6.09624[/C][C]-0.096239[/C][/ROW]
[ROW][C]62[/C][C]1.5[/C][C]6.20809[/C][C]-4.70809[/C][/ROW]
[ROW][C]63[/C][C]9[/C][C]6.37396[/C][C]2.62604[/C][/ROW]
[ROW][C]64[/C][C]3.5[/C][C]6.04147[/C][C]-2.54147[/C][/ROW]
[ROW][C]65[/C][C]3.5[/C][C]5.52052[/C][C]-2.02052[/C][/ROW]
[ROW][C]66[/C][C]4[/C][C]6.1577[/C][C]-2.1577[/C][/ROW]
[ROW][C]67[/C][C]6.5[/C][C]6.38049[/C][C]0.119508[/C][/ROW]
[ROW][C]68[/C][C]7.5[/C][C]6.11921[/C][C]1.38079[/C][/ROW]
[ROW][C]69[/C][C]6[/C][C]6.08185[/C][C]-0.0818457[/C][/ROW]
[ROW][C]70[/C][C]5[/C][C]6.46356[/C][C]-1.46356[/C][/ROW]
[ROW][C]71[/C][C]5.5[/C][C]5.98206[/C][C]-0.482057[/C][/ROW]
[ROW][C]72[/C][C]3.5[/C][C]5.91871[/C][C]-2.41871[/C][/ROW]
[ROW][C]73[/C][C]7.5[/C][C]6.38342[/C][C]1.11658[/C][/ROW]
[ROW][C]74[/C][C]6.5[/C][C]6.16832[/C][C]0.331675[/C][/ROW]
[ROW][C]75[/C][C]6.5[/C][C]6.45614[/C][C]0.0438559[/C][/ROW]
[ROW][C]76[/C][C]6.5[/C][C]6.81834[/C][C]-0.318336[/C][/ROW]
[ROW][C]77[/C][C]7[/C][C]5.96201[/C][C]1.03799[/C][/ROW]
[ROW][C]78[/C][C]3.5[/C][C]5.28542[/C][C]-1.78542[/C][/ROW]
[ROW][C]79[/C][C]1.5[/C][C]6.8019[/C][C]-5.3019[/C][/ROW]
[ROW][C]80[/C][C]4[/C][C]5.85885[/C][C]-1.85885[/C][/ROW]
[ROW][C]81[/C][C]7.5[/C][C]6.12282[/C][C]1.37718[/C][/ROW]
[ROW][C]82[/C][C]4.5[/C][C]6.38298[/C][C]-1.88298[/C][/ROW]
[ROW][C]83[/C][C]0[/C][C]5.66581[/C][C]-5.66581[/C][/ROW]
[ROW][C]84[/C][C]3.5[/C][C]5.93831[/C][C]-2.43831[/C][/ROW]
[ROW][C]85[/C][C]5.5[/C][C]6.05771[/C][C]-0.557709[/C][/ROW]
[ROW][C]86[/C][C]5[/C][C]5.86134[/C][C]-0.86134[/C][/ROW]
[ROW][C]87[/C][C]4.5[/C][C]5.78408[/C][C]-1.28408[/C][/ROW]
[ROW][C]88[/C][C]2.5[/C][C]6.04308[/C][C]-3.54308[/C][/ROW]
[ROW][C]89[/C][C]7.5[/C][C]6.16291[/C][C]1.33709[/C][/ROW]
[ROW][C]90[/C][C]7[/C][C]6.32933[/C][C]0.670668[/C][/ROW]
[ROW][C]91[/C][C]0[/C][C]6.2989[/C][C]-6.2989[/C][/ROW]
[ROW][C]92[/C][C]4.5[/C][C]5.81696[/C][C]-1.31696[/C][/ROW]
[ROW][C]93[/C][C]3[/C][C]6.14819[/C][C]-3.14819[/C][/ROW]
[ROW][C]94[/C][C]1.5[/C][C]5.84647[/C][C]-4.34647[/C][/ROW]
[ROW][C]95[/C][C]3.5[/C][C]6.27441[/C][C]-2.77441[/C][/ROW]
[ROW][C]96[/C][C]2.5[/C][C]5.80521[/C][C]-3.30521[/C][/ROW]
[ROW][C]97[/C][C]5.5[/C][C]6.38293[/C][C]-0.882935[/C][/ROW]
[ROW][C]98[/C][C]8[/C][C]5.74443[/C][C]2.25557[/C][/ROW]
[ROW][C]99[/C][C]1[/C][C]6.28026[/C][C]-5.28026[/C][/ROW]
[ROW][C]100[/C][C]5[/C][C]6.1931[/C][C]-1.1931[/C][/ROW]
[ROW][C]101[/C][C]4.5[/C][C]6.26563[/C][C]-1.76563[/C][/ROW]
[ROW][C]102[/C][C]3[/C][C]6.1217[/C][C]-3.1217[/C][/ROW]
[ROW][C]103[/C][C]3[/C][C]5.98791[/C][C]-2.98791[/C][/ROW]
[ROW][C]104[/C][C]8[/C][C]5.99873[/C][C]2.00127[/C][/ROW]
[ROW][C]105[/C][C]2.5[/C][C]6.10907[/C][C]-3.60907[/C][/ROW]
[ROW][C]106[/C][C]7[/C][C]5.98382[/C][C]1.01618[/C][/ROW]
[ROW][C]107[/C][C]0[/C][C]5.4951[/C][C]-5.4951[/C][/ROW]
[ROW][C]108[/C][C]1[/C][C]6.02981[/C][C]-5.02981[/C][/ROW]
[ROW][C]109[/C][C]3.5[/C][C]6.05931[/C][C]-2.55931[/C][/ROW]
[ROW][C]110[/C][C]5.5[/C][C]6.21134[/C][C]-0.711344[/C][/ROW]
[ROW][C]111[/C][C]5.5[/C][C]6.4636[/C][C]-0.963603[/C][/ROW]
[ROW][C]112[/C][C]0.5[/C][C]5.77145[/C][C]-5.27145[/C][/ROW]
[ROW][C]113[/C][C]7.5[/C][C]6.2627[/C][C]1.2373[/C][/ROW]
[ROW][C]114[/C][C]9[/C][C]6.37528[/C][C]2.62472[/C][/ROW]
[ROW][C]115[/C][C]9.5[/C][C]6.19895[/C][C]3.30105[/C][/ROW]
[ROW][C]116[/C][C]8.5[/C][C]6.28275[/C][C]2.21725[/C][/ROW]
[ROW][C]117[/C][C]7[/C][C]6.81484[/C][C]0.185157[/C][/ROW]
[ROW][C]118[/C][C]8[/C][C]5.81087[/C][C]2.18913[/C][/ROW]
[ROW][C]119[/C][C]10[/C][C]5.93904[/C][C]4.06096[/C][/ROW]
[ROW][C]120[/C][C]7[/C][C]6.07415[/C][C]0.925854[/C][/ROW]
[ROW][C]121[/C][C]8.5[/C][C]6.4895[/C][C]2.0105[/C][/ROW]
[ROW][C]122[/C][C]9[/C][C]6.60817[/C][C]2.39183[/C][/ROW]
[ROW][C]123[/C][C]9.5[/C][C]6.53545[/C][C]2.96455[/C][/ROW]
[ROW][C]124[/C][C]4[/C][C]6.37171[/C][C]-2.37171[/C][/ROW]
[ROW][C]125[/C][C]6[/C][C]6.22485[/C][C]-0.224854[/C][/ROW]
[ROW][C]126[/C][C]8[/C][C]6.16087[/C][C]1.83913[/C][/ROW]
[ROW][C]127[/C][C]5.5[/C][C]6.75932[/C][C]-1.25932[/C][/ROW]
[ROW][C]128[/C][C]9.5[/C][C]5.97284[/C][C]3.52716[/C][/ROW]
[ROW][C]129[/C][C]7.5[/C][C]6.20389[/C][C]1.29611[/C][/ROW]
[ROW][C]130[/C][C]7[/C][C]6.11263[/C][C]0.887366[/C][/ROW]
[ROW][C]131[/C][C]7.5[/C][C]5.9032[/C][C]1.5968[/C][/ROW]
[ROW][C]132[/C][C]8[/C][C]6.18544[/C][C]1.81456[/C][/ROW]
[ROW][C]133[/C][C]7[/C][C]6.28816[/C][C]0.711841[/C][/ROW]
[ROW][C]134[/C][C]7[/C][C]6.21134[/C][C]0.788656[/C][/ROW]
[ROW][C]135[/C][C]6[/C][C]6.28026[/C][C]-0.280262[/C][/ROW]
[ROW][C]136[/C][C]10[/C][C]6.17666[/C][C]3.82334[/C][/ROW]
[ROW][C]137[/C][C]2.5[/C][C]5.80413[/C][C]-3.30413[/C][/ROW]
[ROW][C]138[/C][C]9[/C][C]6.16111[/C][C]2.83889[/C][/ROW]
[ROW][C]139[/C][C]8[/C][C]5.95724[/C][C]2.04276[/C][/ROW]
[ROW][C]140[/C][C]6[/C][C]6.71637[/C][C]-0.716374[/C][/ROW]
[ROW][C]141[/C][C]8.5[/C][C]6.15413[/C][C]2.34587[/C][/ROW]
[ROW][C]142[/C][C]6[/C][C]5.94802[/C][C]0.051983[/C][/ROW]
[ROW][C]143[/C][C]9[/C][C]6.0379[/C][C]2.9621[/C][/ROW]
[ROW][C]144[/C][C]8[/C][C]6.92803[/C][C]1.07197[/C][/ROW]
[ROW][C]145[/C][C]9[/C][C]6.16716[/C][C]2.83284[/C][/ROW]
[ROW][C]146[/C][C]5.5[/C][C]5.83003[/C][C]-0.330028[/C][/ROW]
[ROW][C]147[/C][C]5[/C][C]6.14198[/C][C]-1.14198[/C][/ROW]
[ROW][C]148[/C][C]5.5[/C][C]5.67215[/C][C]-0.172145[/C][/ROW]
[ROW][C]149[/C][C]9[/C][C]6.49463[/C][C]2.50537[/C][/ROW]
[ROW][C]150[/C][C]2[/C][C]6.08678[/C][C]-4.08678[/C][/ROW]
[ROW][C]151[/C][C]8.5[/C][C]6.66134[/C][C]1.83866[/C][/ROW]
[ROW][C]152[/C][C]9[/C][C]7.13073[/C][C]1.86927[/C][/ROW]
[ROW][C]153[/C][C]8.5[/C][C]6.38342[/C][C]2.11658[/C][/ROW]
[ROW][C]154[/C][C]9[/C][C]6.36045[/C][C]2.63955[/C][/ROW]
[ROW][C]155[/C][C]7.5[/C][C]6.36854[/C][C]1.13146[/C][/ROW]
[ROW][C]156[/C][C]10[/C][C]6.47463[/C][C]3.52537[/C][/ROW]
[ROW][C]157[/C][C]9[/C][C]5.70863[/C][C]3.29137[/C][/ROW]
[ROW][C]158[/C][C]7.5[/C][C]6.4458[/C][C]1.0542[/C][/ROW]
[ROW][C]159[/C][C]6[/C][C]6.44063[/C][C]-0.44063[/C][/ROW]
[ROW][C]160[/C][C]10.5[/C][C]5.95275[/C][C]4.54725[/C][/ROW]
[ROW][C]161[/C][C]8.5[/C][C]6.55505[/C][C]1.94495[/C][/ROW]
[ROW][C]162[/C][C]8[/C][C]6.68411[/C][C]1.31589[/C][/ROW]
[ROW][C]163[/C][C]10[/C][C]6.73839[/C][C]3.26161[/C][/ROW]
[ROW][C]164[/C][C]10.5[/C][C]5.97323[/C][C]4.52677[/C][/ROW]
[ROW][C]165[/C][C]6.5[/C][C]6.80245[/C][C]-0.302454[/C][/ROW]
[ROW][C]166[/C][C]9.5[/C][C]5.87212[/C][C]3.62788[/C][/ROW]
[ROW][C]167[/C][C]8.5[/C][C]6.11629[/C][C]2.38371[/C][/ROW]
[ROW][C]168[/C][C]7.5[/C][C]6.09355[/C][C]1.40645[/C][/ROW]
[ROW][C]169[/C][C]5[/C][C]6.30227[/C][C]-1.30227[/C][/ROW]
[ROW][C]170[/C][C]8[/C][C]6.58388[/C][C]1.41612[/C][/ROW]
[ROW][C]171[/C][C]10[/C][C]6.88765[/C][C]3.11235[/C][/ROW]
[ROW][C]172[/C][C]7[/C][C]6.07258[/C][C]0.927416[/C][/ROW]
[ROW][C]173[/C][C]7.5[/C][C]5.82189[/C][C]1.67811[/C][/ROW]
[ROW][C]174[/C][C]7.5[/C][C]6.12009[/C][C]1.37991[/C][/ROW]
[ROW][C]175[/C][C]9.5[/C][C]6.60841[/C][C]2.89159[/C][/ROW]
[ROW][C]176[/C][C]6[/C][C]6.2174[/C][C]-0.217395[/C][/ROW]
[ROW][C]177[/C][C]10[/C][C]6.27645[/C][C]3.72355[/C][/ROW]
[ROW][C]178[/C][C]7[/C][C]6.25436[/C][C]0.745638[/C][/ROW]
[ROW][C]179[/C][C]3[/C][C]6.07932[/C][C]-3.07932[/C][/ROW]
[ROW][C]180[/C][C]6[/C][C]6.55252[/C][C]-0.552524[/C][/ROW]
[ROW][C]181[/C][C]7[/C][C]6.4458[/C][C]0.554199[/C][/ROW]
[ROW][C]182[/C][C]10[/C][C]5.77823[/C][C]4.22177[/C][/ROW]
[ROW][C]183[/C][C]7[/C][C]6.47531[/C][C]0.52469[/C][/ROW]
[ROW][C]184[/C][C]3.5[/C][C]5.79005[/C][C]-2.29005[/C][/ROW]
[ROW][C]185[/C][C]8[/C][C]6.16219[/C][C]1.83781[/C][/ROW]
[ROW][C]186[/C][C]10[/C][C]5.87886[/C][C]4.12114[/C][/ROW]
[ROW][C]187[/C][C]5.5[/C][C]6.42191[/C][C]-0.921906[/C][/ROW]
[ROW][C]188[/C][C]6[/C][C]6.21174[/C][C]-0.211743[/C][/ROW]
[ROW][C]189[/C][C]6.5[/C][C]6.00659[/C][C]0.493408[/C][/ROW]
[ROW][C]190[/C][C]6.5[/C][C]5.9645[/C][C]0.535503[/C][/ROW]
[ROW][C]191[/C][C]8.5[/C][C]5.94914[/C][C]2.55086[/C][/ROW]
[ROW][C]192[/C][C]4[/C][C]6.39468[/C][C]-2.39468[/C][/ROW]
[ROW][C]193[/C][C]9.5[/C][C]6.32123[/C][C]3.17877[/C][/ROW]
[ROW][C]194[/C][C]8[/C][C]6.17374[/C][C]1.82626[/C][/ROW]
[ROW][C]195[/C][C]8.5[/C][C]6.37972[/C][C]2.12028[/C][/ROW]
[ROW][C]196[/C][C]5.5[/C][C]5.86427[/C][C]-0.364267[/C][/ROW]
[ROW][C]197[/C][C]7[/C][C]6.17999[/C][C]0.820011[/C][/ROW]
[ROW][C]198[/C][C]9[/C][C]6.01585[/C][C]2.98415[/C][/ROW]
[ROW][C]199[/C][C]8[/C][C]6.58681[/C][C]1.41319[/C][/ROW]
[ROW][C]200[/C][C]10[/C][C]6.467[/C][C]3.533[/C][/ROW]
[ROW][C]201[/C][C]8[/C][C]6.2949[/C][C]1.7051[/C][/ROW]
[ROW][C]202[/C][C]6[/C][C]6.8796[/C][C]-0.879598[/C][/ROW]
[ROW][C]203[/C][C]8[/C][C]5.76404[/C][C]2.23596[/C][/ROW]
[ROW][C]204[/C][C]5[/C][C]6.1994[/C][C]-1.1994[/C][/ROW]
[ROW][C]205[/C][C]9[/C][C]6.08814[/C][C]2.91186[/C][/ROW]
[ROW][C]206[/C][C]4.5[/C][C]6.46901[/C][C]-1.96901[/C][/ROW]
[ROW][C]207[/C][C]8.5[/C][C]8.06536[/C][C]0.434643[/C][/ROW]
[ROW][C]208[/C][C]7[/C][C]7.01631[/C][C]-0.016311[/C][/ROW]
[ROW][C]209[/C][C]8.5[/C][C]6.14691[/C][C]2.35309[/C][/ROW]
[ROW][C]210[/C][C]7.5[/C][C]5.78023[/C][C]1.71977[/C][/ROW]
[ROW][C]211[/C][C]7.5[/C][C]5.52821[/C][C]1.97179[/C][/ROW]
[ROW][C]212[/C][C]5[/C][C]5.79286[/C][C]-0.792863[/C][/ROW]
[ROW][C]213[/C][C]7[/C][C]5.94738[/C][C]1.05262[/C][/ROW]
[ROW][C]214[/C][C]8[/C][C]6.59603[/C][C]1.40397[/C][/ROW]
[ROW][C]215[/C][C]5.5[/C][C]6.21355[/C][C]-0.713546[/C][/ROW]
[ROW][C]216[/C][C]8.5[/C][C]5.67639[/C][C]2.82361[/C][/ROW]
[ROW][C]217[/C][C]7.5[/C][C]5.71809[/C][C]1.78191[/C][/ROW]
[ROW][C]218[/C][C]7[/C][C]6.15794[/C][C]0.842061[/C][/ROW]
[ROW][C]219[/C][C]8[/C][C]5.98747[/C][C]2.01253[/C][/ROW]
[ROW][C]220[/C][C]8.5[/C][C]5.91855[/C][C]2.58145[/C][/ROW]
[ROW][C]221[/C][C]3.5[/C][C]5.68762[/C][C]-2.18762[/C][/ROW]
[ROW][C]222[/C][C]6.5[/C][C]5.80052[/C][C]0.69948[/C][/ROW]
[ROW][C]223[/C][C]6.5[/C][C]6.62212[/C][C]-0.122125[/C][/ROW]
[ROW][C]224[/C][C]10.5[/C][C]6.0701[/C][C]4.4299[/C][/ROW]
[ROW][C]225[/C][C]8.5[/C][C]6.67745[/C][C]1.82255[/C][/ROW]
[ROW][C]226[/C][C]8[/C][C]6.07058[/C][C]1.92942[/C][/ROW]
[ROW][C]227[/C][C]10[/C][C]5.85817[/C][C]4.14183[/C][/ROW]
[ROW][C]228[/C][C]10[/C][C]6.12531[/C][C]3.87469[/C][/ROW]
[ROW][C]229[/C][C]9.5[/C][C]5.71156[/C][C]3.78844[/C][/ROW]
[ROW][C]230[/C][C]9[/C][C]5.83183[/C][C]3.16817[/C][/ROW]
[ROW][C]231[/C][C]10[/C][C]6.43385[/C][C]3.56615[/C][/ROW]
[ROW][C]232[/C][C]7.5[/C][C]5.76404[/C][C]1.73596[/C][/ROW]
[ROW][C]233[/C][C]4.5[/C][C]5.91021[/C][C]-1.41021[/C][/ROW]
[ROW][C]234[/C][C]4.5[/C][C]6.13116[/C][C]-1.63116[/C][/ROW]
[ROW][C]235[/C][C]0.5[/C][C]6.38205[/C][C]-5.88205[/C][/ROW]
[ROW][C]236[/C][C]6.5[/C][C]6.10838[/C][C]0.391615[/C][/ROW]
[ROW][C]237[/C][C]4.5[/C][C]5.98967[/C][C]-1.48967[/C][/ROW]
[ROW][C]238[/C][C]5.5[/C][C]6.03927[/C][C]-0.539268[/C][/ROW]
[ROW][C]239[/C][C]5[/C][C]6.34806[/C][C]-1.34806[/C][/ROW]
[ROW][C]240[/C][C]6[/C][C]6.27441[/C][C]-0.274408[/C][/ROW]
[ROW][C]241[/C][C]4[/C][C]5.80076[/C][C]-1.80076[/C][/ROW]
[ROW][C]242[/C][C]8[/C][C]5.76111[/C][C]2.23889[/C][/ROW]
[ROW][C]243[/C][C]10.5[/C][C]6.16146[/C][C]4.33854[/C][/ROW]
[ROW][C]244[/C][C]8.5[/C][C]6.4377[/C][C]2.0623[/C][/ROW]
[ROW][C]245[/C][C]8[/C][C]5.88139[/C][C]2.11861[/C][/ROW]
[ROW][C]246[/C][C]8.5[/C][C]5.97869[/C][C]2.52131[/C][/ROW]
[ROW][C]247[/C][C]5.5[/C][C]7.19572[/C][C]-1.69572[/C][/ROW]
[ROW][C]248[/C][C]7[/C][C]6.23905[/C][C]0.760954[/C][/ROW]
[ROW][C]249[/C][C]5[/C][C]6.35932[/C][C]-1.35932[/C][/ROW]
[ROW][C]250[/C][C]3.5[/C][C]5.29307[/C][C]-1.79307[/C][/ROW]
[ROW][C]251[/C][C]5[/C][C]6.29377[/C][C]-1.29377[/C][/ROW]
[ROW][C]252[/C][C]9[/C][C]6.36177[/C][C]2.63823[/C][/ROW]
[ROW][C]253[/C][C]8.5[/C][C]6.47811[/C][C]2.02189[/C][/ROW]
[ROW][C]254[/C][C]5[/C][C]6.36529[/C][C]-1.36529[/C][/ROW]
[ROW][C]255[/C][C]9.5[/C][C]5.68634[/C][C]3.81366[/C][/ROW]
[ROW][C]256[/C][C]3[/C][C]6.30909[/C][C]-3.30909[/C][/ROW]
[ROW][C]257[/C][C]1.5[/C][C]6.15545[/C][C]-4.65545[/C][/ROW]
[ROW][C]258[/C][C]6[/C][C]6.26266[/C][C]-0.262659[/C][/ROW]
[ROW][C]259[/C][C]0.5[/C][C]6.24197[/C][C]-5.74197[/C][/ROW]
[ROW][C]260[/C][C]6.5[/C][C]5.9331[/C][C]0.5669[/C][/ROW]
[ROW][C]261[/C][C]7.5[/C][C]5.95323[/C][C]1.54677[/C][/ROW]
[ROW][C]262[/C][C]4.5[/C][C]6.08128[/C][C]-1.58128[/C][/ROW]
[ROW][C]263[/C][C]8[/C][C]5.79009[/C][C]2.20991[/C][/ROW]
[ROW][C]264[/C][C]9[/C][C]5.93002[/C][C]3.06998[/C][/ROW]
[ROW][C]265[/C][C]7.5[/C][C]6.253[/C][C]1.247[/C][/ROW]
[ROW][C]266[/C][C]8.5[/C][C]5.83837[/C][C]2.66163[/C][/ROW]
[ROW][C]267[/C][C]7[/C][C]5.7377[/C][C]1.2623[/C][/ROW]
[ROW][C]268[/C][C]9.5[/C][C]5.86427[/C][C]3.63573[/C][/ROW]
[ROW][C]269[/C][C]6.5[/C][C]6.38025[/C][C]0.119749[/C][/ROW]
[ROW][C]270[/C][C]9.5[/C][C]6.83365[/C][C]2.66635[/C][/ROW]
[ROW][C]271[/C][C]6[/C][C]5.79827[/C][C]0.201725[/C][/ROW]
[ROW][C]272[/C][C]8[/C][C]6.50638[/C][C]1.49362[/C][/ROW]
[ROW][C]273[/C][C]9.5[/C][C]6.38883[/C][C]3.11117[/C][/ROW]
[ROW][C]274[/C][C]8[/C][C]6.1654[/C][C]1.8346[/C][/ROW]
[ROW][C]275[/C][C]8[/C][C]6.45458[/C][C]1.54542[/C][/ROW]
[ROW][C]276[/C][C]9[/C][C]6.44756[/C][C]2.55244[/C][/ROW]
[ROW][C]277[/C][C]5[/C][C]6.03806[/C][C]-1.03806[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266023&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266023&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
166.26944-0.269438
26.56.001420.498579
316.37464-5.37464
416.31787-5.31787
55.56.21379-0.713786
68.56.458832.04117
76.56.181550.318448
84.55.8012-1.3012
926.52418-4.52418
1055.97981-0.97981
110.57.43547-6.93547
1256.06288-1.06288
1356.50618-1.50618
142.55.58611-3.08611
1555.95768-0.957678
165.56.0359-0.5359
173.56.04468-2.54468
1835.93226-2.93226
1946.02078-2.02078
200.56.39761-5.89761
216.55.918750.581251
224.56.15301-1.65301
237.56.193781.30622
245.56.03337-0.533372
2545.94445-1.94445
267.56.252321.24768
2775.981331.01867
2846.11653-2.11653
295.56.29738-0.797381
302.56.31538-3.81538
315.55.73356-0.233563
323.55.48471-1.98471
332.56.40571-3.90571
344.55.62977-1.12977
354.55.96967-1.46967
364.55.79286-1.29286
3765.893050.10695
382.56.30997-3.80997
3955.97035-0.97035
4006.26855-6.26855
4156.6269-1.6269
426.55.571920.928085
4356.444-1.444
4466.33879-0.338795
454.55.9762-1.4762
465.55.346880.153122
4715.70434-4.70434
487.56.380051.11995
4966.34333-0.343327
5056.15369-1.15369
5115.99352-4.99352
5256.13116-1.13116
536.55.795350.704652
5476.19130.808702
554.56.18003-1.68003
5606.11741-6.11741
578.56.473222.02678
583.56.03049-2.53049
597.55.494662.00534
603.56.14243-2.64243
6166.09624-0.096239
621.56.20809-4.70809
6396.373962.62604
643.56.04147-2.54147
653.55.52052-2.02052
6646.1577-2.1577
676.56.380490.119508
687.56.119211.38079
6966.08185-0.0818457
7056.46356-1.46356
715.55.98206-0.482057
723.55.91871-2.41871
737.56.383421.11658
746.56.168320.331675
756.56.456140.0438559
766.56.81834-0.318336
7775.962011.03799
783.55.28542-1.78542
791.56.8019-5.3019
8045.85885-1.85885
817.56.122821.37718
824.56.38298-1.88298
8305.66581-5.66581
843.55.93831-2.43831
855.56.05771-0.557709
8655.86134-0.86134
874.55.78408-1.28408
882.56.04308-3.54308
897.56.162911.33709
9076.329330.670668
9106.2989-6.2989
924.55.81696-1.31696
9336.14819-3.14819
941.55.84647-4.34647
953.56.27441-2.77441
962.55.80521-3.30521
975.56.38293-0.882935
9885.744432.25557
9916.28026-5.28026
10056.1931-1.1931
1014.56.26563-1.76563
10236.1217-3.1217
10335.98791-2.98791
10485.998732.00127
1052.56.10907-3.60907
10675.983821.01618
10705.4951-5.4951
10816.02981-5.02981
1093.56.05931-2.55931
1105.56.21134-0.711344
1115.56.4636-0.963603
1120.55.77145-5.27145
1137.56.26271.2373
11496.375282.62472
1159.56.198953.30105
1168.56.282752.21725
11776.814840.185157
11885.810872.18913
119105.939044.06096
12076.074150.925854
1218.56.48952.0105
12296.608172.39183
1239.56.535452.96455
12446.37171-2.37171
12566.22485-0.224854
12686.160871.83913
1275.56.75932-1.25932
1289.55.972843.52716
1297.56.203891.29611
13076.112630.887366
1317.55.90321.5968
13286.185441.81456
13376.288160.711841
13476.211340.788656
13566.28026-0.280262
136106.176663.82334
1372.55.80413-3.30413
13896.161112.83889
13985.957242.04276
14066.71637-0.716374
1418.56.154132.34587
14265.948020.051983
14396.03792.9621
14486.928031.07197
14596.167162.83284
1465.55.83003-0.330028
14756.14198-1.14198
1485.55.67215-0.172145
14996.494632.50537
15026.08678-4.08678
1518.56.661341.83866
15297.130731.86927
1538.56.383422.11658
15496.360452.63955
1557.56.368541.13146
156106.474633.52537
15795.708633.29137
1587.56.44581.0542
15966.44063-0.44063
16010.55.952754.54725
1618.56.555051.94495
16286.684111.31589
163106.738393.26161
16410.55.973234.52677
1656.56.80245-0.302454
1669.55.872123.62788
1678.56.116292.38371
1687.56.093551.40645
16956.30227-1.30227
17086.583881.41612
171106.887653.11235
17276.072580.927416
1737.55.821891.67811
1747.56.120091.37991
1759.56.608412.89159
17666.2174-0.217395
177106.276453.72355
17876.254360.745638
17936.07932-3.07932
18066.55252-0.552524
18176.44580.554199
182105.778234.22177
18376.475310.52469
1843.55.79005-2.29005
18586.162191.83781
186105.878864.12114
1875.56.42191-0.921906
18866.21174-0.211743
1896.56.006590.493408
1906.55.96450.535503
1918.55.949142.55086
19246.39468-2.39468
1939.56.321233.17877
19486.173741.82626
1958.56.379722.12028
1965.55.86427-0.364267
19776.179990.820011
19896.015852.98415
19986.586811.41319
200106.4673.533
20186.29491.7051
20266.8796-0.879598
20385.764042.23596
20456.1994-1.1994
20596.088142.91186
2064.56.46901-1.96901
2078.58.065360.434643
20877.01631-0.016311
2098.56.146912.35309
2107.55.780231.71977
2117.55.528211.97179
21255.79286-0.792863
21375.947381.05262
21486.596031.40397
2155.56.21355-0.713546
2168.55.676392.82361
2177.55.718091.78191
21876.157940.842061
21985.987472.01253
2208.55.918552.58145
2213.55.68762-2.18762
2226.55.800520.69948
2236.56.62212-0.122125
22410.56.07014.4299
2258.56.677451.82255
22686.070581.92942
227105.858174.14183
228106.125313.87469
2299.55.711563.78844
23095.831833.16817
231106.433853.56615
2327.55.764041.73596
2334.55.91021-1.41021
2344.56.13116-1.63116
2350.56.38205-5.88205
2366.56.108380.391615
2374.55.98967-1.48967
2385.56.03927-0.539268
23956.34806-1.34806
24066.27441-0.274408
24145.80076-1.80076
24285.761112.23889
24310.56.161464.33854
2448.56.43772.0623
24585.881392.11861
2468.55.978692.52131
2475.57.19572-1.69572
24876.239050.760954
24956.35932-1.35932
2503.55.29307-1.79307
25156.29377-1.29377
25296.361772.63823
2538.56.478112.02189
25456.36529-1.36529
2559.55.686343.81366
25636.30909-3.30909
2571.56.15545-4.65545
25866.26266-0.262659
2590.56.24197-5.74197
2606.55.93310.5669
2617.55.953231.54677
2624.56.08128-1.58128
26385.790092.20991
26495.930023.06998
2657.56.2531.247
2668.55.838372.66163
26775.73771.2623
2689.55.864273.63573
2696.56.380250.119749
2709.56.833652.66635
27165.798270.201725
27286.506381.49362
2739.56.388833.11117
27486.16541.8346
27586.454581.54542
27696.447562.55244
27756.03806-1.03806






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
70.7166470.5667060.283353
80.5670250.865950.432975
90.430620.861240.56938
100.3772760.7545520.622724
110.3311440.6622890.668856
120.2684110.5368230.731589
130.2916370.5832730.708363
140.2811720.5623450.718828
150.281980.5639590.71802
160.2587790.5175570.741221
170.1961020.3922040.803898
180.1799870.3599740.820013
190.1347170.2694340.865283
200.1641340.3282680.835866
210.1283290.2566590.871671
220.09619030.1923810.90381
230.1788680.3577350.821132
240.1374420.2748850.862558
250.1040310.2080620.895969
260.1150810.2301630.884919
270.08719720.1743940.912803
280.06528580.1305720.934714
290.06091680.1218340.939083
300.0671110.1342220.932889
310.06040930.1208190.939591
320.05459220.1091840.945408
330.0479860.0959720.952014
340.0378220.07564390.962178
350.02763030.05526070.97237
360.02031580.04063150.979684
370.01437020.02874050.98563
380.01483250.02966490.985168
390.01128220.02256440.988718
400.02573270.05146550.974267
410.02390970.04781940.97609
420.02329790.04659580.976702
430.02166160.04332330.978338
440.01856230.03712450.981438
450.01389090.02778170.986109
460.009933720.01986740.990066
470.01529050.03058110.984709
480.02394790.04789570.976052
490.02467340.04934680.975327
500.01943720.03887440.980563
510.04854010.09708020.95146
520.04058410.08116830.959416
530.03846490.07692970.961535
540.04460040.08920080.9554
550.03636310.07272620.963637
560.09749210.1949840.902508
570.1071090.2142170.892891
580.09439880.1887980.905601
590.1053140.2106290.894686
600.09358280.1871660.906417
610.08378830.1675770.916212
620.1448050.289610.855195
630.2177440.4354880.782256
640.2072650.414530.792735
650.1954420.3908830.804558
660.1752120.3504230.824788
670.1704290.3408580.829571
680.1830890.3661790.816911
690.1636350.3272710.836365
700.1434430.2868860.856557
710.1251930.2503850.874807
720.1156160.2312310.884384
730.1255610.2511220.874439
740.1164560.2329120.883544
750.1079540.2159090.892046
760.1005790.2011590.899421
770.09714260.1942850.902857
780.08823690.1764740.911763
790.1225860.2451710.877414
800.1095850.219170.890415
810.1158580.2317150.884142
820.1034760.2069530.896524
830.1882010.3764030.811799
840.1793310.3586630.820669
850.1592170.3184340.840783
860.1397640.2795280.860236
870.1236030.2472060.876397
880.1364590.2729170.863541
890.1424420.2848840.857558
900.1363540.2727070.863646
910.2514290.5028590.748571
920.2295980.4591960.770402
930.2310120.4620240.768988
940.290240.580480.70976
950.2890870.5781740.710913
960.3058520.6117050.694148
970.2830530.5661060.716947
980.3044350.608870.695565
990.41290.82580.5871
1000.3884660.7769330.611534
1010.3712430.7424860.628757
1020.3886540.7773080.611346
1030.404240.808480.59576
1040.4177010.8354020.582299
1050.4560290.9120580.543971
1060.4457410.8914810.554259
1070.6185290.7629420.381471
1080.7383710.5232570.261629
1090.7478450.504310.252155
1100.7313670.5372670.268633
1110.7158080.5683850.284192
1120.8409530.3180930.159047
1130.8396830.3206340.160317
1140.8707130.2585740.129287
1150.9033590.1932810.0966407
1160.9115530.1768940.0884469
1170.905920.1881610.0940804
1180.9166390.1667210.0833605
1190.9478210.1043590.0521794
1200.9431630.1136750.0568374
1210.9466960.1066090.0533043
1220.9533370.09332590.046663
1230.9626130.07477320.0373866
1240.9644840.07103150.0355158
1250.9592060.08158770.0407938
1260.9589730.08205380.0410269
1270.9550850.08982990.0449149
1280.9663130.06737370.0336868
1290.9635470.07290670.0364533
1300.959190.0816190.0408095
1310.9569530.08609430.0430471
1320.9553970.0892060.044603
1330.9490140.1019720.0509861
1340.9425680.1148640.0574319
1350.9349970.1300060.0650029
1360.9521010.09579870.0478994
1370.9654780.06904320.0345216
1380.9690280.06194430.0309722
1390.9686060.06278740.0313937
1400.9626450.07471070.0373554
1410.9629960.07400740.0370037
1420.9570340.0859330.0429665
1430.9613370.07732620.0386631
1440.9562270.08754530.0437726
1450.9597020.08059550.0402978
1460.95430.09140060.0457003
1470.9502930.09941360.0497068
1480.9438020.1123960.0561982
1490.9458530.1082940.0541469
1500.968440.06312010.03156
1510.9658930.06821480.0341074
1520.9636810.07263850.0363193
1530.9616540.07669180.0383459
1540.9623180.07536370.0376819
1550.9564240.08715110.0435756
1560.9638220.07235660.0361783
1570.9682840.06343220.0317161
1580.962790.07441910.0372095
1590.9567830.08643320.0432166
1600.9713690.05726180.0286309
1610.9685930.06281380.0314069
1620.9634530.07309360.0365468
1630.9680520.0638960.031948
1640.979940.04011980.0200599
1650.9753440.04931290.0246564
1660.9793980.04120360.0206018
1670.9781960.04360750.0218037
1680.9744260.05114730.0255737
1690.9720030.05599310.0279965
1700.96730.06540010.0327
1710.9708250.05834950.0291748
1720.9651420.06971640.0348582
1730.9605130.07897320.0394866
1740.9542250.0915510.0457755
1750.9566430.08671430.0433571
1760.9487130.1025730.0512865
1770.9594180.08116350.0405818
1780.9513140.09737140.0486857
1790.9623030.07539450.0376972
1800.9552520.08949550.0447478
1810.9461070.1077850.0538926
1820.958570.08285950.0414298
1830.9498510.1002970.0501486
1840.9617110.07657850.0382892
1850.9563910.08721750.0436088
1860.9651480.06970390.034852
1870.9602450.07950970.0397549
1880.9540270.09194610.045973
1890.9450270.1099460.054973
1900.934310.1313790.0656896
1910.928760.1424790.0712397
1920.9332150.133570.0667849
1930.9384560.1230880.061544
1940.9310780.1378430.0689216
1950.9262640.1474730.0737363
1960.9161620.1676760.0838378
1970.9012080.1975840.0987922
1980.9058250.188350.0941748
1990.8935690.2128610.106431
2000.9189160.1621670.0810837
2010.9058090.1883820.0941909
2020.8927880.2144250.107212
2030.8808390.2383230.119161
2040.8753470.2493050.124653
2050.8706460.2587080.129354
2060.8655120.2689760.134488
2070.8480130.3039750.151987
2080.8229820.3540360.177018
2090.8137540.3724920.186246
2100.7898690.4202620.210131
2110.766290.467420.23371
2120.7619450.4761110.238055
2130.7305250.538950.269475
2140.6980730.6038550.301927
2150.6664440.6671120.333556
2160.6484090.7031830.351591
2170.6145860.7708280.385414
2180.574410.851180.42559
2190.5454220.9091550.454578
2200.5304570.9390870.469543
2210.5469880.9060250.453012
2220.5054380.9891230.494562
2230.4621830.9243660.537817
2240.4967130.9934270.503287
2250.4759240.9518480.524076
2260.4453130.8906260.554687
2270.4726820.9453630.527318
2280.505510.9889810.49449
2290.5295820.9408370.470418
2300.5407260.9185470.459274
2310.5820850.8358310.417915
2320.5426350.914730.457365
2330.5254140.9491710.474586
2340.5152030.9695940.484797
2350.7404860.5190290.259514
2360.6976350.6047310.302365
2370.6761120.6477760.323888
2380.6422370.7155260.357763
2390.6150410.7699180.384959
2400.5718220.8563560.428178
2410.5777540.8444910.422246
2420.5367660.9264680.463234
2430.6508410.6983180.349159
2440.6157590.7684820.384241
2450.5745980.8508040.425402
2460.5495920.9008160.450408
2470.5212820.9574370.478718
2480.4639090.9278180.536091
2490.4275750.855150.572425
2500.4468960.8937920.553104
2510.4219860.8439730.578014
2520.398430.796860.60157
2530.446240.892480.55376
2540.3826350.765270.617365
2550.3752950.750590.624705
2560.5296240.9407520.470376
2570.8628170.2743650.137183
2580.8142260.3715480.185774
2590.9994710.001058710.000529356
2600.9990530.001893010.000946506
2610.9980450.003910670.00195534
2620.9966960.006608020.00330401
2630.9931470.01370640.00685321
2640.9899820.02003540.0100177
2650.9786330.04273350.0213667
2660.9641270.07174670.0358733
2670.9278720.1442560.0721279
2680.9656440.06871210.0343561
2690.969550.0608990.0304495
2700.9245920.1508160.0754078

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
7 & 0.716647 & 0.566706 & 0.283353 \tabularnewline
8 & 0.567025 & 0.86595 & 0.432975 \tabularnewline
9 & 0.43062 & 0.86124 & 0.56938 \tabularnewline
10 & 0.377276 & 0.754552 & 0.622724 \tabularnewline
11 & 0.331144 & 0.662289 & 0.668856 \tabularnewline
12 & 0.268411 & 0.536823 & 0.731589 \tabularnewline
13 & 0.291637 & 0.583273 & 0.708363 \tabularnewline
14 & 0.281172 & 0.562345 & 0.718828 \tabularnewline
15 & 0.28198 & 0.563959 & 0.71802 \tabularnewline
16 & 0.258779 & 0.517557 & 0.741221 \tabularnewline
17 & 0.196102 & 0.392204 & 0.803898 \tabularnewline
18 & 0.179987 & 0.359974 & 0.820013 \tabularnewline
19 & 0.134717 & 0.269434 & 0.865283 \tabularnewline
20 & 0.164134 & 0.328268 & 0.835866 \tabularnewline
21 & 0.128329 & 0.256659 & 0.871671 \tabularnewline
22 & 0.0961903 & 0.192381 & 0.90381 \tabularnewline
23 & 0.178868 & 0.357735 & 0.821132 \tabularnewline
24 & 0.137442 & 0.274885 & 0.862558 \tabularnewline
25 & 0.104031 & 0.208062 & 0.895969 \tabularnewline
26 & 0.115081 & 0.230163 & 0.884919 \tabularnewline
27 & 0.0871972 & 0.174394 & 0.912803 \tabularnewline
28 & 0.0652858 & 0.130572 & 0.934714 \tabularnewline
29 & 0.0609168 & 0.121834 & 0.939083 \tabularnewline
30 & 0.067111 & 0.134222 & 0.932889 \tabularnewline
31 & 0.0604093 & 0.120819 & 0.939591 \tabularnewline
32 & 0.0545922 & 0.109184 & 0.945408 \tabularnewline
33 & 0.047986 & 0.095972 & 0.952014 \tabularnewline
34 & 0.037822 & 0.0756439 & 0.962178 \tabularnewline
35 & 0.0276303 & 0.0552607 & 0.97237 \tabularnewline
36 & 0.0203158 & 0.0406315 & 0.979684 \tabularnewline
37 & 0.0143702 & 0.0287405 & 0.98563 \tabularnewline
38 & 0.0148325 & 0.0296649 & 0.985168 \tabularnewline
39 & 0.0112822 & 0.0225644 & 0.988718 \tabularnewline
40 & 0.0257327 & 0.0514655 & 0.974267 \tabularnewline
41 & 0.0239097 & 0.0478194 & 0.97609 \tabularnewline
42 & 0.0232979 & 0.0465958 & 0.976702 \tabularnewline
43 & 0.0216616 & 0.0433233 & 0.978338 \tabularnewline
44 & 0.0185623 & 0.0371245 & 0.981438 \tabularnewline
45 & 0.0138909 & 0.0277817 & 0.986109 \tabularnewline
46 & 0.00993372 & 0.0198674 & 0.990066 \tabularnewline
47 & 0.0152905 & 0.0305811 & 0.984709 \tabularnewline
48 & 0.0239479 & 0.0478957 & 0.976052 \tabularnewline
49 & 0.0246734 & 0.0493468 & 0.975327 \tabularnewline
50 & 0.0194372 & 0.0388744 & 0.980563 \tabularnewline
51 & 0.0485401 & 0.0970802 & 0.95146 \tabularnewline
52 & 0.0405841 & 0.0811683 & 0.959416 \tabularnewline
53 & 0.0384649 & 0.0769297 & 0.961535 \tabularnewline
54 & 0.0446004 & 0.0892008 & 0.9554 \tabularnewline
55 & 0.0363631 & 0.0727262 & 0.963637 \tabularnewline
56 & 0.0974921 & 0.194984 & 0.902508 \tabularnewline
57 & 0.107109 & 0.214217 & 0.892891 \tabularnewline
58 & 0.0943988 & 0.188798 & 0.905601 \tabularnewline
59 & 0.105314 & 0.210629 & 0.894686 \tabularnewline
60 & 0.0935828 & 0.187166 & 0.906417 \tabularnewline
61 & 0.0837883 & 0.167577 & 0.916212 \tabularnewline
62 & 0.144805 & 0.28961 & 0.855195 \tabularnewline
63 & 0.217744 & 0.435488 & 0.782256 \tabularnewline
64 & 0.207265 & 0.41453 & 0.792735 \tabularnewline
65 & 0.195442 & 0.390883 & 0.804558 \tabularnewline
66 & 0.175212 & 0.350423 & 0.824788 \tabularnewline
67 & 0.170429 & 0.340858 & 0.829571 \tabularnewline
68 & 0.183089 & 0.366179 & 0.816911 \tabularnewline
69 & 0.163635 & 0.327271 & 0.836365 \tabularnewline
70 & 0.143443 & 0.286886 & 0.856557 \tabularnewline
71 & 0.125193 & 0.250385 & 0.874807 \tabularnewline
72 & 0.115616 & 0.231231 & 0.884384 \tabularnewline
73 & 0.125561 & 0.251122 & 0.874439 \tabularnewline
74 & 0.116456 & 0.232912 & 0.883544 \tabularnewline
75 & 0.107954 & 0.215909 & 0.892046 \tabularnewline
76 & 0.100579 & 0.201159 & 0.899421 \tabularnewline
77 & 0.0971426 & 0.194285 & 0.902857 \tabularnewline
78 & 0.0882369 & 0.176474 & 0.911763 \tabularnewline
79 & 0.122586 & 0.245171 & 0.877414 \tabularnewline
80 & 0.109585 & 0.21917 & 0.890415 \tabularnewline
81 & 0.115858 & 0.231715 & 0.884142 \tabularnewline
82 & 0.103476 & 0.206953 & 0.896524 \tabularnewline
83 & 0.188201 & 0.376403 & 0.811799 \tabularnewline
84 & 0.179331 & 0.358663 & 0.820669 \tabularnewline
85 & 0.159217 & 0.318434 & 0.840783 \tabularnewline
86 & 0.139764 & 0.279528 & 0.860236 \tabularnewline
87 & 0.123603 & 0.247206 & 0.876397 \tabularnewline
88 & 0.136459 & 0.272917 & 0.863541 \tabularnewline
89 & 0.142442 & 0.284884 & 0.857558 \tabularnewline
90 & 0.136354 & 0.272707 & 0.863646 \tabularnewline
91 & 0.251429 & 0.502859 & 0.748571 \tabularnewline
92 & 0.229598 & 0.459196 & 0.770402 \tabularnewline
93 & 0.231012 & 0.462024 & 0.768988 \tabularnewline
94 & 0.29024 & 0.58048 & 0.70976 \tabularnewline
95 & 0.289087 & 0.578174 & 0.710913 \tabularnewline
96 & 0.305852 & 0.611705 & 0.694148 \tabularnewline
97 & 0.283053 & 0.566106 & 0.716947 \tabularnewline
98 & 0.304435 & 0.60887 & 0.695565 \tabularnewline
99 & 0.4129 & 0.8258 & 0.5871 \tabularnewline
100 & 0.388466 & 0.776933 & 0.611534 \tabularnewline
101 & 0.371243 & 0.742486 & 0.628757 \tabularnewline
102 & 0.388654 & 0.777308 & 0.611346 \tabularnewline
103 & 0.40424 & 0.80848 & 0.59576 \tabularnewline
104 & 0.417701 & 0.835402 & 0.582299 \tabularnewline
105 & 0.456029 & 0.912058 & 0.543971 \tabularnewline
106 & 0.445741 & 0.891481 & 0.554259 \tabularnewline
107 & 0.618529 & 0.762942 & 0.381471 \tabularnewline
108 & 0.738371 & 0.523257 & 0.261629 \tabularnewline
109 & 0.747845 & 0.50431 & 0.252155 \tabularnewline
110 & 0.731367 & 0.537267 & 0.268633 \tabularnewline
111 & 0.715808 & 0.568385 & 0.284192 \tabularnewline
112 & 0.840953 & 0.318093 & 0.159047 \tabularnewline
113 & 0.839683 & 0.320634 & 0.160317 \tabularnewline
114 & 0.870713 & 0.258574 & 0.129287 \tabularnewline
115 & 0.903359 & 0.193281 & 0.0966407 \tabularnewline
116 & 0.911553 & 0.176894 & 0.0884469 \tabularnewline
117 & 0.90592 & 0.188161 & 0.0940804 \tabularnewline
118 & 0.916639 & 0.166721 & 0.0833605 \tabularnewline
119 & 0.947821 & 0.104359 & 0.0521794 \tabularnewline
120 & 0.943163 & 0.113675 & 0.0568374 \tabularnewline
121 & 0.946696 & 0.106609 & 0.0533043 \tabularnewline
122 & 0.953337 & 0.0933259 & 0.046663 \tabularnewline
123 & 0.962613 & 0.0747732 & 0.0373866 \tabularnewline
124 & 0.964484 & 0.0710315 & 0.0355158 \tabularnewline
125 & 0.959206 & 0.0815877 & 0.0407938 \tabularnewline
126 & 0.958973 & 0.0820538 & 0.0410269 \tabularnewline
127 & 0.955085 & 0.0898299 & 0.0449149 \tabularnewline
128 & 0.966313 & 0.0673737 & 0.0336868 \tabularnewline
129 & 0.963547 & 0.0729067 & 0.0364533 \tabularnewline
130 & 0.95919 & 0.081619 & 0.0408095 \tabularnewline
131 & 0.956953 & 0.0860943 & 0.0430471 \tabularnewline
132 & 0.955397 & 0.089206 & 0.044603 \tabularnewline
133 & 0.949014 & 0.101972 & 0.0509861 \tabularnewline
134 & 0.942568 & 0.114864 & 0.0574319 \tabularnewline
135 & 0.934997 & 0.130006 & 0.0650029 \tabularnewline
136 & 0.952101 & 0.0957987 & 0.0478994 \tabularnewline
137 & 0.965478 & 0.0690432 & 0.0345216 \tabularnewline
138 & 0.969028 & 0.0619443 & 0.0309722 \tabularnewline
139 & 0.968606 & 0.0627874 & 0.0313937 \tabularnewline
140 & 0.962645 & 0.0747107 & 0.0373554 \tabularnewline
141 & 0.962996 & 0.0740074 & 0.0370037 \tabularnewline
142 & 0.957034 & 0.085933 & 0.0429665 \tabularnewline
143 & 0.961337 & 0.0773262 & 0.0386631 \tabularnewline
144 & 0.956227 & 0.0875453 & 0.0437726 \tabularnewline
145 & 0.959702 & 0.0805955 & 0.0402978 \tabularnewline
146 & 0.9543 & 0.0914006 & 0.0457003 \tabularnewline
147 & 0.950293 & 0.0994136 & 0.0497068 \tabularnewline
148 & 0.943802 & 0.112396 & 0.0561982 \tabularnewline
149 & 0.945853 & 0.108294 & 0.0541469 \tabularnewline
150 & 0.96844 & 0.0631201 & 0.03156 \tabularnewline
151 & 0.965893 & 0.0682148 & 0.0341074 \tabularnewline
152 & 0.963681 & 0.0726385 & 0.0363193 \tabularnewline
153 & 0.961654 & 0.0766918 & 0.0383459 \tabularnewline
154 & 0.962318 & 0.0753637 & 0.0376819 \tabularnewline
155 & 0.956424 & 0.0871511 & 0.0435756 \tabularnewline
156 & 0.963822 & 0.0723566 & 0.0361783 \tabularnewline
157 & 0.968284 & 0.0634322 & 0.0317161 \tabularnewline
158 & 0.96279 & 0.0744191 & 0.0372095 \tabularnewline
159 & 0.956783 & 0.0864332 & 0.0432166 \tabularnewline
160 & 0.971369 & 0.0572618 & 0.0286309 \tabularnewline
161 & 0.968593 & 0.0628138 & 0.0314069 \tabularnewline
162 & 0.963453 & 0.0730936 & 0.0365468 \tabularnewline
163 & 0.968052 & 0.063896 & 0.031948 \tabularnewline
164 & 0.97994 & 0.0401198 & 0.0200599 \tabularnewline
165 & 0.975344 & 0.0493129 & 0.0246564 \tabularnewline
166 & 0.979398 & 0.0412036 & 0.0206018 \tabularnewline
167 & 0.978196 & 0.0436075 & 0.0218037 \tabularnewline
168 & 0.974426 & 0.0511473 & 0.0255737 \tabularnewline
169 & 0.972003 & 0.0559931 & 0.0279965 \tabularnewline
170 & 0.9673 & 0.0654001 & 0.0327 \tabularnewline
171 & 0.970825 & 0.0583495 & 0.0291748 \tabularnewline
172 & 0.965142 & 0.0697164 & 0.0348582 \tabularnewline
173 & 0.960513 & 0.0789732 & 0.0394866 \tabularnewline
174 & 0.954225 & 0.091551 & 0.0457755 \tabularnewline
175 & 0.956643 & 0.0867143 & 0.0433571 \tabularnewline
176 & 0.948713 & 0.102573 & 0.0512865 \tabularnewline
177 & 0.959418 & 0.0811635 & 0.0405818 \tabularnewline
178 & 0.951314 & 0.0973714 & 0.0486857 \tabularnewline
179 & 0.962303 & 0.0753945 & 0.0376972 \tabularnewline
180 & 0.955252 & 0.0894955 & 0.0447478 \tabularnewline
181 & 0.946107 & 0.107785 & 0.0538926 \tabularnewline
182 & 0.95857 & 0.0828595 & 0.0414298 \tabularnewline
183 & 0.949851 & 0.100297 & 0.0501486 \tabularnewline
184 & 0.961711 & 0.0765785 & 0.0382892 \tabularnewline
185 & 0.956391 & 0.0872175 & 0.0436088 \tabularnewline
186 & 0.965148 & 0.0697039 & 0.034852 \tabularnewline
187 & 0.960245 & 0.0795097 & 0.0397549 \tabularnewline
188 & 0.954027 & 0.0919461 & 0.045973 \tabularnewline
189 & 0.945027 & 0.109946 & 0.054973 \tabularnewline
190 & 0.93431 & 0.131379 & 0.0656896 \tabularnewline
191 & 0.92876 & 0.142479 & 0.0712397 \tabularnewline
192 & 0.933215 & 0.13357 & 0.0667849 \tabularnewline
193 & 0.938456 & 0.123088 & 0.061544 \tabularnewline
194 & 0.931078 & 0.137843 & 0.0689216 \tabularnewline
195 & 0.926264 & 0.147473 & 0.0737363 \tabularnewline
196 & 0.916162 & 0.167676 & 0.0838378 \tabularnewline
197 & 0.901208 & 0.197584 & 0.0987922 \tabularnewline
198 & 0.905825 & 0.18835 & 0.0941748 \tabularnewline
199 & 0.893569 & 0.212861 & 0.106431 \tabularnewline
200 & 0.918916 & 0.162167 & 0.0810837 \tabularnewline
201 & 0.905809 & 0.188382 & 0.0941909 \tabularnewline
202 & 0.892788 & 0.214425 & 0.107212 \tabularnewline
203 & 0.880839 & 0.238323 & 0.119161 \tabularnewline
204 & 0.875347 & 0.249305 & 0.124653 \tabularnewline
205 & 0.870646 & 0.258708 & 0.129354 \tabularnewline
206 & 0.865512 & 0.268976 & 0.134488 \tabularnewline
207 & 0.848013 & 0.303975 & 0.151987 \tabularnewline
208 & 0.822982 & 0.354036 & 0.177018 \tabularnewline
209 & 0.813754 & 0.372492 & 0.186246 \tabularnewline
210 & 0.789869 & 0.420262 & 0.210131 \tabularnewline
211 & 0.76629 & 0.46742 & 0.23371 \tabularnewline
212 & 0.761945 & 0.476111 & 0.238055 \tabularnewline
213 & 0.730525 & 0.53895 & 0.269475 \tabularnewline
214 & 0.698073 & 0.603855 & 0.301927 \tabularnewline
215 & 0.666444 & 0.667112 & 0.333556 \tabularnewline
216 & 0.648409 & 0.703183 & 0.351591 \tabularnewline
217 & 0.614586 & 0.770828 & 0.385414 \tabularnewline
218 & 0.57441 & 0.85118 & 0.42559 \tabularnewline
219 & 0.545422 & 0.909155 & 0.454578 \tabularnewline
220 & 0.530457 & 0.939087 & 0.469543 \tabularnewline
221 & 0.546988 & 0.906025 & 0.453012 \tabularnewline
222 & 0.505438 & 0.989123 & 0.494562 \tabularnewline
223 & 0.462183 & 0.924366 & 0.537817 \tabularnewline
224 & 0.496713 & 0.993427 & 0.503287 \tabularnewline
225 & 0.475924 & 0.951848 & 0.524076 \tabularnewline
226 & 0.445313 & 0.890626 & 0.554687 \tabularnewline
227 & 0.472682 & 0.945363 & 0.527318 \tabularnewline
228 & 0.50551 & 0.988981 & 0.49449 \tabularnewline
229 & 0.529582 & 0.940837 & 0.470418 \tabularnewline
230 & 0.540726 & 0.918547 & 0.459274 \tabularnewline
231 & 0.582085 & 0.835831 & 0.417915 \tabularnewline
232 & 0.542635 & 0.91473 & 0.457365 \tabularnewline
233 & 0.525414 & 0.949171 & 0.474586 \tabularnewline
234 & 0.515203 & 0.969594 & 0.484797 \tabularnewline
235 & 0.740486 & 0.519029 & 0.259514 \tabularnewline
236 & 0.697635 & 0.604731 & 0.302365 \tabularnewline
237 & 0.676112 & 0.647776 & 0.323888 \tabularnewline
238 & 0.642237 & 0.715526 & 0.357763 \tabularnewline
239 & 0.615041 & 0.769918 & 0.384959 \tabularnewline
240 & 0.571822 & 0.856356 & 0.428178 \tabularnewline
241 & 0.577754 & 0.844491 & 0.422246 \tabularnewline
242 & 0.536766 & 0.926468 & 0.463234 \tabularnewline
243 & 0.650841 & 0.698318 & 0.349159 \tabularnewline
244 & 0.615759 & 0.768482 & 0.384241 \tabularnewline
245 & 0.574598 & 0.850804 & 0.425402 \tabularnewline
246 & 0.549592 & 0.900816 & 0.450408 \tabularnewline
247 & 0.521282 & 0.957437 & 0.478718 \tabularnewline
248 & 0.463909 & 0.927818 & 0.536091 \tabularnewline
249 & 0.427575 & 0.85515 & 0.572425 \tabularnewline
250 & 0.446896 & 0.893792 & 0.553104 \tabularnewline
251 & 0.421986 & 0.843973 & 0.578014 \tabularnewline
252 & 0.39843 & 0.79686 & 0.60157 \tabularnewline
253 & 0.44624 & 0.89248 & 0.55376 \tabularnewline
254 & 0.382635 & 0.76527 & 0.617365 \tabularnewline
255 & 0.375295 & 0.75059 & 0.624705 \tabularnewline
256 & 0.529624 & 0.940752 & 0.470376 \tabularnewline
257 & 0.862817 & 0.274365 & 0.137183 \tabularnewline
258 & 0.814226 & 0.371548 & 0.185774 \tabularnewline
259 & 0.999471 & 0.00105871 & 0.000529356 \tabularnewline
260 & 0.999053 & 0.00189301 & 0.000946506 \tabularnewline
261 & 0.998045 & 0.00391067 & 0.00195534 \tabularnewline
262 & 0.996696 & 0.00660802 & 0.00330401 \tabularnewline
263 & 0.993147 & 0.0137064 & 0.00685321 \tabularnewline
264 & 0.989982 & 0.0200354 & 0.0100177 \tabularnewline
265 & 0.978633 & 0.0427335 & 0.0213667 \tabularnewline
266 & 0.964127 & 0.0717467 & 0.0358733 \tabularnewline
267 & 0.927872 & 0.144256 & 0.0721279 \tabularnewline
268 & 0.965644 & 0.0687121 & 0.0343561 \tabularnewline
269 & 0.96955 & 0.060899 & 0.0304495 \tabularnewline
270 & 0.924592 & 0.150816 & 0.0754078 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266023&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]7[/C][C]0.716647[/C][C]0.566706[/C][C]0.283353[/C][/ROW]
[ROW][C]8[/C][C]0.567025[/C][C]0.86595[/C][C]0.432975[/C][/ROW]
[ROW][C]9[/C][C]0.43062[/C][C]0.86124[/C][C]0.56938[/C][/ROW]
[ROW][C]10[/C][C]0.377276[/C][C]0.754552[/C][C]0.622724[/C][/ROW]
[ROW][C]11[/C][C]0.331144[/C][C]0.662289[/C][C]0.668856[/C][/ROW]
[ROW][C]12[/C][C]0.268411[/C][C]0.536823[/C][C]0.731589[/C][/ROW]
[ROW][C]13[/C][C]0.291637[/C][C]0.583273[/C][C]0.708363[/C][/ROW]
[ROW][C]14[/C][C]0.281172[/C][C]0.562345[/C][C]0.718828[/C][/ROW]
[ROW][C]15[/C][C]0.28198[/C][C]0.563959[/C][C]0.71802[/C][/ROW]
[ROW][C]16[/C][C]0.258779[/C][C]0.517557[/C][C]0.741221[/C][/ROW]
[ROW][C]17[/C][C]0.196102[/C][C]0.392204[/C][C]0.803898[/C][/ROW]
[ROW][C]18[/C][C]0.179987[/C][C]0.359974[/C][C]0.820013[/C][/ROW]
[ROW][C]19[/C][C]0.134717[/C][C]0.269434[/C][C]0.865283[/C][/ROW]
[ROW][C]20[/C][C]0.164134[/C][C]0.328268[/C][C]0.835866[/C][/ROW]
[ROW][C]21[/C][C]0.128329[/C][C]0.256659[/C][C]0.871671[/C][/ROW]
[ROW][C]22[/C][C]0.0961903[/C][C]0.192381[/C][C]0.90381[/C][/ROW]
[ROW][C]23[/C][C]0.178868[/C][C]0.357735[/C][C]0.821132[/C][/ROW]
[ROW][C]24[/C][C]0.137442[/C][C]0.274885[/C][C]0.862558[/C][/ROW]
[ROW][C]25[/C][C]0.104031[/C][C]0.208062[/C][C]0.895969[/C][/ROW]
[ROW][C]26[/C][C]0.115081[/C][C]0.230163[/C][C]0.884919[/C][/ROW]
[ROW][C]27[/C][C]0.0871972[/C][C]0.174394[/C][C]0.912803[/C][/ROW]
[ROW][C]28[/C][C]0.0652858[/C][C]0.130572[/C][C]0.934714[/C][/ROW]
[ROW][C]29[/C][C]0.0609168[/C][C]0.121834[/C][C]0.939083[/C][/ROW]
[ROW][C]30[/C][C]0.067111[/C][C]0.134222[/C][C]0.932889[/C][/ROW]
[ROW][C]31[/C][C]0.0604093[/C][C]0.120819[/C][C]0.939591[/C][/ROW]
[ROW][C]32[/C][C]0.0545922[/C][C]0.109184[/C][C]0.945408[/C][/ROW]
[ROW][C]33[/C][C]0.047986[/C][C]0.095972[/C][C]0.952014[/C][/ROW]
[ROW][C]34[/C][C]0.037822[/C][C]0.0756439[/C][C]0.962178[/C][/ROW]
[ROW][C]35[/C][C]0.0276303[/C][C]0.0552607[/C][C]0.97237[/C][/ROW]
[ROW][C]36[/C][C]0.0203158[/C][C]0.0406315[/C][C]0.979684[/C][/ROW]
[ROW][C]37[/C][C]0.0143702[/C][C]0.0287405[/C][C]0.98563[/C][/ROW]
[ROW][C]38[/C][C]0.0148325[/C][C]0.0296649[/C][C]0.985168[/C][/ROW]
[ROW][C]39[/C][C]0.0112822[/C][C]0.0225644[/C][C]0.988718[/C][/ROW]
[ROW][C]40[/C][C]0.0257327[/C][C]0.0514655[/C][C]0.974267[/C][/ROW]
[ROW][C]41[/C][C]0.0239097[/C][C]0.0478194[/C][C]0.97609[/C][/ROW]
[ROW][C]42[/C][C]0.0232979[/C][C]0.0465958[/C][C]0.976702[/C][/ROW]
[ROW][C]43[/C][C]0.0216616[/C][C]0.0433233[/C][C]0.978338[/C][/ROW]
[ROW][C]44[/C][C]0.0185623[/C][C]0.0371245[/C][C]0.981438[/C][/ROW]
[ROW][C]45[/C][C]0.0138909[/C][C]0.0277817[/C][C]0.986109[/C][/ROW]
[ROW][C]46[/C][C]0.00993372[/C][C]0.0198674[/C][C]0.990066[/C][/ROW]
[ROW][C]47[/C][C]0.0152905[/C][C]0.0305811[/C][C]0.984709[/C][/ROW]
[ROW][C]48[/C][C]0.0239479[/C][C]0.0478957[/C][C]0.976052[/C][/ROW]
[ROW][C]49[/C][C]0.0246734[/C][C]0.0493468[/C][C]0.975327[/C][/ROW]
[ROW][C]50[/C][C]0.0194372[/C][C]0.0388744[/C][C]0.980563[/C][/ROW]
[ROW][C]51[/C][C]0.0485401[/C][C]0.0970802[/C][C]0.95146[/C][/ROW]
[ROW][C]52[/C][C]0.0405841[/C][C]0.0811683[/C][C]0.959416[/C][/ROW]
[ROW][C]53[/C][C]0.0384649[/C][C]0.0769297[/C][C]0.961535[/C][/ROW]
[ROW][C]54[/C][C]0.0446004[/C][C]0.0892008[/C][C]0.9554[/C][/ROW]
[ROW][C]55[/C][C]0.0363631[/C][C]0.0727262[/C][C]0.963637[/C][/ROW]
[ROW][C]56[/C][C]0.0974921[/C][C]0.194984[/C][C]0.902508[/C][/ROW]
[ROW][C]57[/C][C]0.107109[/C][C]0.214217[/C][C]0.892891[/C][/ROW]
[ROW][C]58[/C][C]0.0943988[/C][C]0.188798[/C][C]0.905601[/C][/ROW]
[ROW][C]59[/C][C]0.105314[/C][C]0.210629[/C][C]0.894686[/C][/ROW]
[ROW][C]60[/C][C]0.0935828[/C][C]0.187166[/C][C]0.906417[/C][/ROW]
[ROW][C]61[/C][C]0.0837883[/C][C]0.167577[/C][C]0.916212[/C][/ROW]
[ROW][C]62[/C][C]0.144805[/C][C]0.28961[/C][C]0.855195[/C][/ROW]
[ROW][C]63[/C][C]0.217744[/C][C]0.435488[/C][C]0.782256[/C][/ROW]
[ROW][C]64[/C][C]0.207265[/C][C]0.41453[/C][C]0.792735[/C][/ROW]
[ROW][C]65[/C][C]0.195442[/C][C]0.390883[/C][C]0.804558[/C][/ROW]
[ROW][C]66[/C][C]0.175212[/C][C]0.350423[/C][C]0.824788[/C][/ROW]
[ROW][C]67[/C][C]0.170429[/C][C]0.340858[/C][C]0.829571[/C][/ROW]
[ROW][C]68[/C][C]0.183089[/C][C]0.366179[/C][C]0.816911[/C][/ROW]
[ROW][C]69[/C][C]0.163635[/C][C]0.327271[/C][C]0.836365[/C][/ROW]
[ROW][C]70[/C][C]0.143443[/C][C]0.286886[/C][C]0.856557[/C][/ROW]
[ROW][C]71[/C][C]0.125193[/C][C]0.250385[/C][C]0.874807[/C][/ROW]
[ROW][C]72[/C][C]0.115616[/C][C]0.231231[/C][C]0.884384[/C][/ROW]
[ROW][C]73[/C][C]0.125561[/C][C]0.251122[/C][C]0.874439[/C][/ROW]
[ROW][C]74[/C][C]0.116456[/C][C]0.232912[/C][C]0.883544[/C][/ROW]
[ROW][C]75[/C][C]0.107954[/C][C]0.215909[/C][C]0.892046[/C][/ROW]
[ROW][C]76[/C][C]0.100579[/C][C]0.201159[/C][C]0.899421[/C][/ROW]
[ROW][C]77[/C][C]0.0971426[/C][C]0.194285[/C][C]0.902857[/C][/ROW]
[ROW][C]78[/C][C]0.0882369[/C][C]0.176474[/C][C]0.911763[/C][/ROW]
[ROW][C]79[/C][C]0.122586[/C][C]0.245171[/C][C]0.877414[/C][/ROW]
[ROW][C]80[/C][C]0.109585[/C][C]0.21917[/C][C]0.890415[/C][/ROW]
[ROW][C]81[/C][C]0.115858[/C][C]0.231715[/C][C]0.884142[/C][/ROW]
[ROW][C]82[/C][C]0.103476[/C][C]0.206953[/C][C]0.896524[/C][/ROW]
[ROW][C]83[/C][C]0.188201[/C][C]0.376403[/C][C]0.811799[/C][/ROW]
[ROW][C]84[/C][C]0.179331[/C][C]0.358663[/C][C]0.820669[/C][/ROW]
[ROW][C]85[/C][C]0.159217[/C][C]0.318434[/C][C]0.840783[/C][/ROW]
[ROW][C]86[/C][C]0.139764[/C][C]0.279528[/C][C]0.860236[/C][/ROW]
[ROW][C]87[/C][C]0.123603[/C][C]0.247206[/C][C]0.876397[/C][/ROW]
[ROW][C]88[/C][C]0.136459[/C][C]0.272917[/C][C]0.863541[/C][/ROW]
[ROW][C]89[/C][C]0.142442[/C][C]0.284884[/C][C]0.857558[/C][/ROW]
[ROW][C]90[/C][C]0.136354[/C][C]0.272707[/C][C]0.863646[/C][/ROW]
[ROW][C]91[/C][C]0.251429[/C][C]0.502859[/C][C]0.748571[/C][/ROW]
[ROW][C]92[/C][C]0.229598[/C][C]0.459196[/C][C]0.770402[/C][/ROW]
[ROW][C]93[/C][C]0.231012[/C][C]0.462024[/C][C]0.768988[/C][/ROW]
[ROW][C]94[/C][C]0.29024[/C][C]0.58048[/C][C]0.70976[/C][/ROW]
[ROW][C]95[/C][C]0.289087[/C][C]0.578174[/C][C]0.710913[/C][/ROW]
[ROW][C]96[/C][C]0.305852[/C][C]0.611705[/C][C]0.694148[/C][/ROW]
[ROW][C]97[/C][C]0.283053[/C][C]0.566106[/C][C]0.716947[/C][/ROW]
[ROW][C]98[/C][C]0.304435[/C][C]0.60887[/C][C]0.695565[/C][/ROW]
[ROW][C]99[/C][C]0.4129[/C][C]0.8258[/C][C]0.5871[/C][/ROW]
[ROW][C]100[/C][C]0.388466[/C][C]0.776933[/C][C]0.611534[/C][/ROW]
[ROW][C]101[/C][C]0.371243[/C][C]0.742486[/C][C]0.628757[/C][/ROW]
[ROW][C]102[/C][C]0.388654[/C][C]0.777308[/C][C]0.611346[/C][/ROW]
[ROW][C]103[/C][C]0.40424[/C][C]0.80848[/C][C]0.59576[/C][/ROW]
[ROW][C]104[/C][C]0.417701[/C][C]0.835402[/C][C]0.582299[/C][/ROW]
[ROW][C]105[/C][C]0.456029[/C][C]0.912058[/C][C]0.543971[/C][/ROW]
[ROW][C]106[/C][C]0.445741[/C][C]0.891481[/C][C]0.554259[/C][/ROW]
[ROW][C]107[/C][C]0.618529[/C][C]0.762942[/C][C]0.381471[/C][/ROW]
[ROW][C]108[/C][C]0.738371[/C][C]0.523257[/C][C]0.261629[/C][/ROW]
[ROW][C]109[/C][C]0.747845[/C][C]0.50431[/C][C]0.252155[/C][/ROW]
[ROW][C]110[/C][C]0.731367[/C][C]0.537267[/C][C]0.268633[/C][/ROW]
[ROW][C]111[/C][C]0.715808[/C][C]0.568385[/C][C]0.284192[/C][/ROW]
[ROW][C]112[/C][C]0.840953[/C][C]0.318093[/C][C]0.159047[/C][/ROW]
[ROW][C]113[/C][C]0.839683[/C][C]0.320634[/C][C]0.160317[/C][/ROW]
[ROW][C]114[/C][C]0.870713[/C][C]0.258574[/C][C]0.129287[/C][/ROW]
[ROW][C]115[/C][C]0.903359[/C][C]0.193281[/C][C]0.0966407[/C][/ROW]
[ROW][C]116[/C][C]0.911553[/C][C]0.176894[/C][C]0.0884469[/C][/ROW]
[ROW][C]117[/C][C]0.90592[/C][C]0.188161[/C][C]0.0940804[/C][/ROW]
[ROW][C]118[/C][C]0.916639[/C][C]0.166721[/C][C]0.0833605[/C][/ROW]
[ROW][C]119[/C][C]0.947821[/C][C]0.104359[/C][C]0.0521794[/C][/ROW]
[ROW][C]120[/C][C]0.943163[/C][C]0.113675[/C][C]0.0568374[/C][/ROW]
[ROW][C]121[/C][C]0.946696[/C][C]0.106609[/C][C]0.0533043[/C][/ROW]
[ROW][C]122[/C][C]0.953337[/C][C]0.0933259[/C][C]0.046663[/C][/ROW]
[ROW][C]123[/C][C]0.962613[/C][C]0.0747732[/C][C]0.0373866[/C][/ROW]
[ROW][C]124[/C][C]0.964484[/C][C]0.0710315[/C][C]0.0355158[/C][/ROW]
[ROW][C]125[/C][C]0.959206[/C][C]0.0815877[/C][C]0.0407938[/C][/ROW]
[ROW][C]126[/C][C]0.958973[/C][C]0.0820538[/C][C]0.0410269[/C][/ROW]
[ROW][C]127[/C][C]0.955085[/C][C]0.0898299[/C][C]0.0449149[/C][/ROW]
[ROW][C]128[/C][C]0.966313[/C][C]0.0673737[/C][C]0.0336868[/C][/ROW]
[ROW][C]129[/C][C]0.963547[/C][C]0.0729067[/C][C]0.0364533[/C][/ROW]
[ROW][C]130[/C][C]0.95919[/C][C]0.081619[/C][C]0.0408095[/C][/ROW]
[ROW][C]131[/C][C]0.956953[/C][C]0.0860943[/C][C]0.0430471[/C][/ROW]
[ROW][C]132[/C][C]0.955397[/C][C]0.089206[/C][C]0.044603[/C][/ROW]
[ROW][C]133[/C][C]0.949014[/C][C]0.101972[/C][C]0.0509861[/C][/ROW]
[ROW][C]134[/C][C]0.942568[/C][C]0.114864[/C][C]0.0574319[/C][/ROW]
[ROW][C]135[/C][C]0.934997[/C][C]0.130006[/C][C]0.0650029[/C][/ROW]
[ROW][C]136[/C][C]0.952101[/C][C]0.0957987[/C][C]0.0478994[/C][/ROW]
[ROW][C]137[/C][C]0.965478[/C][C]0.0690432[/C][C]0.0345216[/C][/ROW]
[ROW][C]138[/C][C]0.969028[/C][C]0.0619443[/C][C]0.0309722[/C][/ROW]
[ROW][C]139[/C][C]0.968606[/C][C]0.0627874[/C][C]0.0313937[/C][/ROW]
[ROW][C]140[/C][C]0.962645[/C][C]0.0747107[/C][C]0.0373554[/C][/ROW]
[ROW][C]141[/C][C]0.962996[/C][C]0.0740074[/C][C]0.0370037[/C][/ROW]
[ROW][C]142[/C][C]0.957034[/C][C]0.085933[/C][C]0.0429665[/C][/ROW]
[ROW][C]143[/C][C]0.961337[/C][C]0.0773262[/C][C]0.0386631[/C][/ROW]
[ROW][C]144[/C][C]0.956227[/C][C]0.0875453[/C][C]0.0437726[/C][/ROW]
[ROW][C]145[/C][C]0.959702[/C][C]0.0805955[/C][C]0.0402978[/C][/ROW]
[ROW][C]146[/C][C]0.9543[/C][C]0.0914006[/C][C]0.0457003[/C][/ROW]
[ROW][C]147[/C][C]0.950293[/C][C]0.0994136[/C][C]0.0497068[/C][/ROW]
[ROW][C]148[/C][C]0.943802[/C][C]0.112396[/C][C]0.0561982[/C][/ROW]
[ROW][C]149[/C][C]0.945853[/C][C]0.108294[/C][C]0.0541469[/C][/ROW]
[ROW][C]150[/C][C]0.96844[/C][C]0.0631201[/C][C]0.03156[/C][/ROW]
[ROW][C]151[/C][C]0.965893[/C][C]0.0682148[/C][C]0.0341074[/C][/ROW]
[ROW][C]152[/C][C]0.963681[/C][C]0.0726385[/C][C]0.0363193[/C][/ROW]
[ROW][C]153[/C][C]0.961654[/C][C]0.0766918[/C][C]0.0383459[/C][/ROW]
[ROW][C]154[/C][C]0.962318[/C][C]0.0753637[/C][C]0.0376819[/C][/ROW]
[ROW][C]155[/C][C]0.956424[/C][C]0.0871511[/C][C]0.0435756[/C][/ROW]
[ROW][C]156[/C][C]0.963822[/C][C]0.0723566[/C][C]0.0361783[/C][/ROW]
[ROW][C]157[/C][C]0.968284[/C][C]0.0634322[/C][C]0.0317161[/C][/ROW]
[ROW][C]158[/C][C]0.96279[/C][C]0.0744191[/C][C]0.0372095[/C][/ROW]
[ROW][C]159[/C][C]0.956783[/C][C]0.0864332[/C][C]0.0432166[/C][/ROW]
[ROW][C]160[/C][C]0.971369[/C][C]0.0572618[/C][C]0.0286309[/C][/ROW]
[ROW][C]161[/C][C]0.968593[/C][C]0.0628138[/C][C]0.0314069[/C][/ROW]
[ROW][C]162[/C][C]0.963453[/C][C]0.0730936[/C][C]0.0365468[/C][/ROW]
[ROW][C]163[/C][C]0.968052[/C][C]0.063896[/C][C]0.031948[/C][/ROW]
[ROW][C]164[/C][C]0.97994[/C][C]0.0401198[/C][C]0.0200599[/C][/ROW]
[ROW][C]165[/C][C]0.975344[/C][C]0.0493129[/C][C]0.0246564[/C][/ROW]
[ROW][C]166[/C][C]0.979398[/C][C]0.0412036[/C][C]0.0206018[/C][/ROW]
[ROW][C]167[/C][C]0.978196[/C][C]0.0436075[/C][C]0.0218037[/C][/ROW]
[ROW][C]168[/C][C]0.974426[/C][C]0.0511473[/C][C]0.0255737[/C][/ROW]
[ROW][C]169[/C][C]0.972003[/C][C]0.0559931[/C][C]0.0279965[/C][/ROW]
[ROW][C]170[/C][C]0.9673[/C][C]0.0654001[/C][C]0.0327[/C][/ROW]
[ROW][C]171[/C][C]0.970825[/C][C]0.0583495[/C][C]0.0291748[/C][/ROW]
[ROW][C]172[/C][C]0.965142[/C][C]0.0697164[/C][C]0.0348582[/C][/ROW]
[ROW][C]173[/C][C]0.960513[/C][C]0.0789732[/C][C]0.0394866[/C][/ROW]
[ROW][C]174[/C][C]0.954225[/C][C]0.091551[/C][C]0.0457755[/C][/ROW]
[ROW][C]175[/C][C]0.956643[/C][C]0.0867143[/C][C]0.0433571[/C][/ROW]
[ROW][C]176[/C][C]0.948713[/C][C]0.102573[/C][C]0.0512865[/C][/ROW]
[ROW][C]177[/C][C]0.959418[/C][C]0.0811635[/C][C]0.0405818[/C][/ROW]
[ROW][C]178[/C][C]0.951314[/C][C]0.0973714[/C][C]0.0486857[/C][/ROW]
[ROW][C]179[/C][C]0.962303[/C][C]0.0753945[/C][C]0.0376972[/C][/ROW]
[ROW][C]180[/C][C]0.955252[/C][C]0.0894955[/C][C]0.0447478[/C][/ROW]
[ROW][C]181[/C][C]0.946107[/C][C]0.107785[/C][C]0.0538926[/C][/ROW]
[ROW][C]182[/C][C]0.95857[/C][C]0.0828595[/C][C]0.0414298[/C][/ROW]
[ROW][C]183[/C][C]0.949851[/C][C]0.100297[/C][C]0.0501486[/C][/ROW]
[ROW][C]184[/C][C]0.961711[/C][C]0.0765785[/C][C]0.0382892[/C][/ROW]
[ROW][C]185[/C][C]0.956391[/C][C]0.0872175[/C][C]0.0436088[/C][/ROW]
[ROW][C]186[/C][C]0.965148[/C][C]0.0697039[/C][C]0.034852[/C][/ROW]
[ROW][C]187[/C][C]0.960245[/C][C]0.0795097[/C][C]0.0397549[/C][/ROW]
[ROW][C]188[/C][C]0.954027[/C][C]0.0919461[/C][C]0.045973[/C][/ROW]
[ROW][C]189[/C][C]0.945027[/C][C]0.109946[/C][C]0.054973[/C][/ROW]
[ROW][C]190[/C][C]0.93431[/C][C]0.131379[/C][C]0.0656896[/C][/ROW]
[ROW][C]191[/C][C]0.92876[/C][C]0.142479[/C][C]0.0712397[/C][/ROW]
[ROW][C]192[/C][C]0.933215[/C][C]0.13357[/C][C]0.0667849[/C][/ROW]
[ROW][C]193[/C][C]0.938456[/C][C]0.123088[/C][C]0.061544[/C][/ROW]
[ROW][C]194[/C][C]0.931078[/C][C]0.137843[/C][C]0.0689216[/C][/ROW]
[ROW][C]195[/C][C]0.926264[/C][C]0.147473[/C][C]0.0737363[/C][/ROW]
[ROW][C]196[/C][C]0.916162[/C][C]0.167676[/C][C]0.0838378[/C][/ROW]
[ROW][C]197[/C][C]0.901208[/C][C]0.197584[/C][C]0.0987922[/C][/ROW]
[ROW][C]198[/C][C]0.905825[/C][C]0.18835[/C][C]0.0941748[/C][/ROW]
[ROW][C]199[/C][C]0.893569[/C][C]0.212861[/C][C]0.106431[/C][/ROW]
[ROW][C]200[/C][C]0.918916[/C][C]0.162167[/C][C]0.0810837[/C][/ROW]
[ROW][C]201[/C][C]0.905809[/C][C]0.188382[/C][C]0.0941909[/C][/ROW]
[ROW][C]202[/C][C]0.892788[/C][C]0.214425[/C][C]0.107212[/C][/ROW]
[ROW][C]203[/C][C]0.880839[/C][C]0.238323[/C][C]0.119161[/C][/ROW]
[ROW][C]204[/C][C]0.875347[/C][C]0.249305[/C][C]0.124653[/C][/ROW]
[ROW][C]205[/C][C]0.870646[/C][C]0.258708[/C][C]0.129354[/C][/ROW]
[ROW][C]206[/C][C]0.865512[/C][C]0.268976[/C][C]0.134488[/C][/ROW]
[ROW][C]207[/C][C]0.848013[/C][C]0.303975[/C][C]0.151987[/C][/ROW]
[ROW][C]208[/C][C]0.822982[/C][C]0.354036[/C][C]0.177018[/C][/ROW]
[ROW][C]209[/C][C]0.813754[/C][C]0.372492[/C][C]0.186246[/C][/ROW]
[ROW][C]210[/C][C]0.789869[/C][C]0.420262[/C][C]0.210131[/C][/ROW]
[ROW][C]211[/C][C]0.76629[/C][C]0.46742[/C][C]0.23371[/C][/ROW]
[ROW][C]212[/C][C]0.761945[/C][C]0.476111[/C][C]0.238055[/C][/ROW]
[ROW][C]213[/C][C]0.730525[/C][C]0.53895[/C][C]0.269475[/C][/ROW]
[ROW][C]214[/C][C]0.698073[/C][C]0.603855[/C][C]0.301927[/C][/ROW]
[ROW][C]215[/C][C]0.666444[/C][C]0.667112[/C][C]0.333556[/C][/ROW]
[ROW][C]216[/C][C]0.648409[/C][C]0.703183[/C][C]0.351591[/C][/ROW]
[ROW][C]217[/C][C]0.614586[/C][C]0.770828[/C][C]0.385414[/C][/ROW]
[ROW][C]218[/C][C]0.57441[/C][C]0.85118[/C][C]0.42559[/C][/ROW]
[ROW][C]219[/C][C]0.545422[/C][C]0.909155[/C][C]0.454578[/C][/ROW]
[ROW][C]220[/C][C]0.530457[/C][C]0.939087[/C][C]0.469543[/C][/ROW]
[ROW][C]221[/C][C]0.546988[/C][C]0.906025[/C][C]0.453012[/C][/ROW]
[ROW][C]222[/C][C]0.505438[/C][C]0.989123[/C][C]0.494562[/C][/ROW]
[ROW][C]223[/C][C]0.462183[/C][C]0.924366[/C][C]0.537817[/C][/ROW]
[ROW][C]224[/C][C]0.496713[/C][C]0.993427[/C][C]0.503287[/C][/ROW]
[ROW][C]225[/C][C]0.475924[/C][C]0.951848[/C][C]0.524076[/C][/ROW]
[ROW][C]226[/C][C]0.445313[/C][C]0.890626[/C][C]0.554687[/C][/ROW]
[ROW][C]227[/C][C]0.472682[/C][C]0.945363[/C][C]0.527318[/C][/ROW]
[ROW][C]228[/C][C]0.50551[/C][C]0.988981[/C][C]0.49449[/C][/ROW]
[ROW][C]229[/C][C]0.529582[/C][C]0.940837[/C][C]0.470418[/C][/ROW]
[ROW][C]230[/C][C]0.540726[/C][C]0.918547[/C][C]0.459274[/C][/ROW]
[ROW][C]231[/C][C]0.582085[/C][C]0.835831[/C][C]0.417915[/C][/ROW]
[ROW][C]232[/C][C]0.542635[/C][C]0.91473[/C][C]0.457365[/C][/ROW]
[ROW][C]233[/C][C]0.525414[/C][C]0.949171[/C][C]0.474586[/C][/ROW]
[ROW][C]234[/C][C]0.515203[/C][C]0.969594[/C][C]0.484797[/C][/ROW]
[ROW][C]235[/C][C]0.740486[/C][C]0.519029[/C][C]0.259514[/C][/ROW]
[ROW][C]236[/C][C]0.697635[/C][C]0.604731[/C][C]0.302365[/C][/ROW]
[ROW][C]237[/C][C]0.676112[/C][C]0.647776[/C][C]0.323888[/C][/ROW]
[ROW][C]238[/C][C]0.642237[/C][C]0.715526[/C][C]0.357763[/C][/ROW]
[ROW][C]239[/C][C]0.615041[/C][C]0.769918[/C][C]0.384959[/C][/ROW]
[ROW][C]240[/C][C]0.571822[/C][C]0.856356[/C][C]0.428178[/C][/ROW]
[ROW][C]241[/C][C]0.577754[/C][C]0.844491[/C][C]0.422246[/C][/ROW]
[ROW][C]242[/C][C]0.536766[/C][C]0.926468[/C][C]0.463234[/C][/ROW]
[ROW][C]243[/C][C]0.650841[/C][C]0.698318[/C][C]0.349159[/C][/ROW]
[ROW][C]244[/C][C]0.615759[/C][C]0.768482[/C][C]0.384241[/C][/ROW]
[ROW][C]245[/C][C]0.574598[/C][C]0.850804[/C][C]0.425402[/C][/ROW]
[ROW][C]246[/C][C]0.549592[/C][C]0.900816[/C][C]0.450408[/C][/ROW]
[ROW][C]247[/C][C]0.521282[/C][C]0.957437[/C][C]0.478718[/C][/ROW]
[ROW][C]248[/C][C]0.463909[/C][C]0.927818[/C][C]0.536091[/C][/ROW]
[ROW][C]249[/C][C]0.427575[/C][C]0.85515[/C][C]0.572425[/C][/ROW]
[ROW][C]250[/C][C]0.446896[/C][C]0.893792[/C][C]0.553104[/C][/ROW]
[ROW][C]251[/C][C]0.421986[/C][C]0.843973[/C][C]0.578014[/C][/ROW]
[ROW][C]252[/C][C]0.39843[/C][C]0.79686[/C][C]0.60157[/C][/ROW]
[ROW][C]253[/C][C]0.44624[/C][C]0.89248[/C][C]0.55376[/C][/ROW]
[ROW][C]254[/C][C]0.382635[/C][C]0.76527[/C][C]0.617365[/C][/ROW]
[ROW][C]255[/C][C]0.375295[/C][C]0.75059[/C][C]0.624705[/C][/ROW]
[ROW][C]256[/C][C]0.529624[/C][C]0.940752[/C][C]0.470376[/C][/ROW]
[ROW][C]257[/C][C]0.862817[/C][C]0.274365[/C][C]0.137183[/C][/ROW]
[ROW][C]258[/C][C]0.814226[/C][C]0.371548[/C][C]0.185774[/C][/ROW]
[ROW][C]259[/C][C]0.999471[/C][C]0.00105871[/C][C]0.000529356[/C][/ROW]
[ROW][C]260[/C][C]0.999053[/C][C]0.00189301[/C][C]0.000946506[/C][/ROW]
[ROW][C]261[/C][C]0.998045[/C][C]0.00391067[/C][C]0.00195534[/C][/ROW]
[ROW][C]262[/C][C]0.996696[/C][C]0.00660802[/C][C]0.00330401[/C][/ROW]
[ROW][C]263[/C][C]0.993147[/C][C]0.0137064[/C][C]0.00685321[/C][/ROW]
[ROW][C]264[/C][C]0.989982[/C][C]0.0200354[/C][C]0.0100177[/C][/ROW]
[ROW][C]265[/C][C]0.978633[/C][C]0.0427335[/C][C]0.0213667[/C][/ROW]
[ROW][C]266[/C][C]0.964127[/C][C]0.0717467[/C][C]0.0358733[/C][/ROW]
[ROW][C]267[/C][C]0.927872[/C][C]0.144256[/C][C]0.0721279[/C][/ROW]
[ROW][C]268[/C][C]0.965644[/C][C]0.0687121[/C][C]0.0343561[/C][/ROW]
[ROW][C]269[/C][C]0.96955[/C][C]0.060899[/C][C]0.0304495[/C][/ROW]
[ROW][C]270[/C][C]0.924592[/C][C]0.150816[/C][C]0.0754078[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266023&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266023&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
70.7166470.5667060.283353
80.5670250.865950.432975
90.430620.861240.56938
100.3772760.7545520.622724
110.3311440.6622890.668856
120.2684110.5368230.731589
130.2916370.5832730.708363
140.2811720.5623450.718828
150.281980.5639590.71802
160.2587790.5175570.741221
170.1961020.3922040.803898
180.1799870.3599740.820013
190.1347170.2694340.865283
200.1641340.3282680.835866
210.1283290.2566590.871671
220.09619030.1923810.90381
230.1788680.3577350.821132
240.1374420.2748850.862558
250.1040310.2080620.895969
260.1150810.2301630.884919
270.08719720.1743940.912803
280.06528580.1305720.934714
290.06091680.1218340.939083
300.0671110.1342220.932889
310.06040930.1208190.939591
320.05459220.1091840.945408
330.0479860.0959720.952014
340.0378220.07564390.962178
350.02763030.05526070.97237
360.02031580.04063150.979684
370.01437020.02874050.98563
380.01483250.02966490.985168
390.01128220.02256440.988718
400.02573270.05146550.974267
410.02390970.04781940.97609
420.02329790.04659580.976702
430.02166160.04332330.978338
440.01856230.03712450.981438
450.01389090.02778170.986109
460.009933720.01986740.990066
470.01529050.03058110.984709
480.02394790.04789570.976052
490.02467340.04934680.975327
500.01943720.03887440.980563
510.04854010.09708020.95146
520.04058410.08116830.959416
530.03846490.07692970.961535
540.04460040.08920080.9554
550.03636310.07272620.963637
560.09749210.1949840.902508
570.1071090.2142170.892891
580.09439880.1887980.905601
590.1053140.2106290.894686
600.09358280.1871660.906417
610.08378830.1675770.916212
620.1448050.289610.855195
630.2177440.4354880.782256
640.2072650.414530.792735
650.1954420.3908830.804558
660.1752120.3504230.824788
670.1704290.3408580.829571
680.1830890.3661790.816911
690.1636350.3272710.836365
700.1434430.2868860.856557
710.1251930.2503850.874807
720.1156160.2312310.884384
730.1255610.2511220.874439
740.1164560.2329120.883544
750.1079540.2159090.892046
760.1005790.2011590.899421
770.09714260.1942850.902857
780.08823690.1764740.911763
790.1225860.2451710.877414
800.1095850.219170.890415
810.1158580.2317150.884142
820.1034760.2069530.896524
830.1882010.3764030.811799
840.1793310.3586630.820669
850.1592170.3184340.840783
860.1397640.2795280.860236
870.1236030.2472060.876397
880.1364590.2729170.863541
890.1424420.2848840.857558
900.1363540.2727070.863646
910.2514290.5028590.748571
920.2295980.4591960.770402
930.2310120.4620240.768988
940.290240.580480.70976
950.2890870.5781740.710913
960.3058520.6117050.694148
970.2830530.5661060.716947
980.3044350.608870.695565
990.41290.82580.5871
1000.3884660.7769330.611534
1010.3712430.7424860.628757
1020.3886540.7773080.611346
1030.404240.808480.59576
1040.4177010.8354020.582299
1050.4560290.9120580.543971
1060.4457410.8914810.554259
1070.6185290.7629420.381471
1080.7383710.5232570.261629
1090.7478450.504310.252155
1100.7313670.5372670.268633
1110.7158080.5683850.284192
1120.8409530.3180930.159047
1130.8396830.3206340.160317
1140.8707130.2585740.129287
1150.9033590.1932810.0966407
1160.9115530.1768940.0884469
1170.905920.1881610.0940804
1180.9166390.1667210.0833605
1190.9478210.1043590.0521794
1200.9431630.1136750.0568374
1210.9466960.1066090.0533043
1220.9533370.09332590.046663
1230.9626130.07477320.0373866
1240.9644840.07103150.0355158
1250.9592060.08158770.0407938
1260.9589730.08205380.0410269
1270.9550850.08982990.0449149
1280.9663130.06737370.0336868
1290.9635470.07290670.0364533
1300.959190.0816190.0408095
1310.9569530.08609430.0430471
1320.9553970.0892060.044603
1330.9490140.1019720.0509861
1340.9425680.1148640.0574319
1350.9349970.1300060.0650029
1360.9521010.09579870.0478994
1370.9654780.06904320.0345216
1380.9690280.06194430.0309722
1390.9686060.06278740.0313937
1400.9626450.07471070.0373554
1410.9629960.07400740.0370037
1420.9570340.0859330.0429665
1430.9613370.07732620.0386631
1440.9562270.08754530.0437726
1450.9597020.08059550.0402978
1460.95430.09140060.0457003
1470.9502930.09941360.0497068
1480.9438020.1123960.0561982
1490.9458530.1082940.0541469
1500.968440.06312010.03156
1510.9658930.06821480.0341074
1520.9636810.07263850.0363193
1530.9616540.07669180.0383459
1540.9623180.07536370.0376819
1550.9564240.08715110.0435756
1560.9638220.07235660.0361783
1570.9682840.06343220.0317161
1580.962790.07441910.0372095
1590.9567830.08643320.0432166
1600.9713690.05726180.0286309
1610.9685930.06281380.0314069
1620.9634530.07309360.0365468
1630.9680520.0638960.031948
1640.979940.04011980.0200599
1650.9753440.04931290.0246564
1660.9793980.04120360.0206018
1670.9781960.04360750.0218037
1680.9744260.05114730.0255737
1690.9720030.05599310.0279965
1700.96730.06540010.0327
1710.9708250.05834950.0291748
1720.9651420.06971640.0348582
1730.9605130.07897320.0394866
1740.9542250.0915510.0457755
1750.9566430.08671430.0433571
1760.9487130.1025730.0512865
1770.9594180.08116350.0405818
1780.9513140.09737140.0486857
1790.9623030.07539450.0376972
1800.9552520.08949550.0447478
1810.9461070.1077850.0538926
1820.958570.08285950.0414298
1830.9498510.1002970.0501486
1840.9617110.07657850.0382892
1850.9563910.08721750.0436088
1860.9651480.06970390.034852
1870.9602450.07950970.0397549
1880.9540270.09194610.045973
1890.9450270.1099460.054973
1900.934310.1313790.0656896
1910.928760.1424790.0712397
1920.9332150.133570.0667849
1930.9384560.1230880.061544
1940.9310780.1378430.0689216
1950.9262640.1474730.0737363
1960.9161620.1676760.0838378
1970.9012080.1975840.0987922
1980.9058250.188350.0941748
1990.8935690.2128610.106431
2000.9189160.1621670.0810837
2010.9058090.1883820.0941909
2020.8927880.2144250.107212
2030.8808390.2383230.119161
2040.8753470.2493050.124653
2050.8706460.2587080.129354
2060.8655120.2689760.134488
2070.8480130.3039750.151987
2080.8229820.3540360.177018
2090.8137540.3724920.186246
2100.7898690.4202620.210131
2110.766290.467420.23371
2120.7619450.4761110.238055
2130.7305250.538950.269475
2140.6980730.6038550.301927
2150.6664440.6671120.333556
2160.6484090.7031830.351591
2170.6145860.7708280.385414
2180.574410.851180.42559
2190.5454220.9091550.454578
2200.5304570.9390870.469543
2210.5469880.9060250.453012
2220.5054380.9891230.494562
2230.4621830.9243660.537817
2240.4967130.9934270.503287
2250.4759240.9518480.524076
2260.4453130.8906260.554687
2270.4726820.9453630.527318
2280.505510.9889810.49449
2290.5295820.9408370.470418
2300.5407260.9185470.459274
2310.5820850.8358310.417915
2320.5426350.914730.457365
2330.5254140.9491710.474586
2340.5152030.9695940.484797
2350.7404860.5190290.259514
2360.6976350.6047310.302365
2370.6761120.6477760.323888
2380.6422370.7155260.357763
2390.6150410.7699180.384959
2400.5718220.8563560.428178
2410.5777540.8444910.422246
2420.5367660.9264680.463234
2430.6508410.6983180.349159
2440.6157590.7684820.384241
2450.5745980.8508040.425402
2460.5495920.9008160.450408
2470.5212820.9574370.478718
2480.4639090.9278180.536091
2490.4275750.855150.572425
2500.4468960.8937920.553104
2510.4219860.8439730.578014
2520.398430.796860.60157
2530.446240.892480.55376
2540.3826350.765270.617365
2550.3752950.750590.624705
2560.5296240.9407520.470376
2570.8628170.2743650.137183
2580.8142260.3715480.185774
2590.9994710.001058710.000529356
2600.9990530.001893010.000946506
2610.9980450.003910670.00195534
2620.9966960.006608020.00330401
2630.9931470.01370640.00685321
2640.9899820.02003540.0100177
2650.9786330.04273350.0213667
2660.9641270.07174670.0358733
2670.9278720.1442560.0721279
2680.9656440.06871210.0343561
2690.969550.0608990.0304495
2700.9245920.1508160.0754078






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level40.0151515NOK
5% type I error level250.094697NOK
10% type I error level920.348485NOK

\begin{tabular}{lllllllll}
\hline
Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
Description & # significant tests & % significant tests & OK/NOK \tabularnewline
1% type I error level & 4 & 0.0151515 & NOK \tabularnewline
5% type I error level & 25 & 0.094697 & NOK \tabularnewline
10% type I error level & 92 & 0.348485 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266023&T=6

[TABLE]
[ROW][C]Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity[/C][/ROW]
[ROW][C]Description[/C][C]# significant tests[/C][C]% significant tests[/C][C]OK/NOK[/C][/ROW]
[ROW][C]1% type I error level[/C][C]4[/C][C]0.0151515[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]25[/C][C]0.094697[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]92[/C][C]0.348485[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266023&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266023&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 level40.0151515NOK
5% type I error level250.094697NOK
10% type I error level920.348485NOK


Figures (Output of Computation)

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

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