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Author*The author of this computation has been verified*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationThu, 24 Nov 2011 11:39:29 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Nov/24/t1322152938f7ku84lfzp50eyb.htm/, Retrieved Thu, 28 Mar 2024 18:28:58 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=147076, Retrieved Thu, 28 Mar 2024 18:28:58 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact59
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Multiple Regression] [] [2011-11-24 16:39:29] [885a9dbaf162325773a0a0afdf9f947e] [Current]
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Dataseries X:
-45.6
16.1
23.9
39.3
-39.4
-0.3
17.3
17.7
31.4
-28.6
-17.2
-79
-47.9
9.1
10.6
-23.9
-45
-42.2
43.2
32.1
-15.3
21.8
-12
-95.8
-14.3
47.8
64.8
40.2
-28.8
23.5
70.3
12.3
43.5
-30.1
-5.3
-24
11.1
21.5
38.5
16.8
-36.2
6
26.6
-8
13.2
-23.6
19.4
-46.2
-8.2
33.8
16.6
5.4
-25
-5.3
16.7
19
24.8
-11.4
4.9
-58.7
16.8
13.6
6.4
22.8
-19.6
2.2
19.8
-10.7
4.7
-44.5
-34.7
-119.7
-42.2
-5.4
19.1
18.8
-2.3
0.2
20.9
3.7
50.4
-18.6
10.6
-66
10
27.2
13.5
47.2
-20.3
23.1
12.6
19.8
5.4
-25.2
-6.5
-46.5
-2.6
-0.3
38.5
-8.9
-38
19.5
51.7
19.4
18.2
-50.8
-6.1
-54.6
12.1
26.3
19.5
-0.8
-49.6
28.8
31.7
2.3
3.8
-66.2
-20.5
-113.2
-65.2
-3.9
9.1
23.2
-39.1
12.5
49.1
54.9
30.8
-3.5
-28.3
-61
-2
40
74
23.1
-45.3
17.5
25.8
15.2
-3.6
-40.5
11.5
-59.8
23.3
-27.8
55.7
22.7
-79.2
28.8
17.3
39.6
-22.2
-43
-50.3
-86.5
-31.9
23.1
53.6
21.6
-64.2
35.2
52.1
40.6
17.1
-7.8
-10
-58
14
15.8
46
-8.9
-26.7
39
-1.3
38.7
22.1
-49.2
-3.4
-86.7
-24.3
42.8
44.9
4.4
-60.5
41.4
38.5
28.5
7.6
-46.4
7
-73
5.7
23.6
39.4
30.3
-92.5
77.8
12.4
28.9
6.4
-12
-9.1
-53.2
-23.1
47.3
20.7
27.8
-84.3
62.8
26.4
32.3
13.3
-17.9
10
-45.6
13.5
11.9
26
-6.3
-79.9
54.2
22.9
31.8
3.8
-11.4
-8.6
-49.4
-2.5
23
29
20.6
-117
37.9
30.7
4.7
-5.7
4.9
18.3
-35.4
-21.3
35.8
43.8
18.7
-131.1
39.8
44.5
16.5
9.7
-6.6
15.8
-45.7
-4.8
17.6
20.5
24.2
-109
20.8
31.2
-8.8
11.8
13
8.3
-77.9
-38.8
6.1
18.1
16.8
-128.5
15.9
29
-7.2
3.3
-34.8
-2.9
-77.8
-2.8
26.7
48.1
30
-109.6
16
26.9
22.1
27
-24.5
12
-75.2
3.5
19.7
51.8
35.3
-108.2
25.3
31.6
19.9
18.8
20.4
15
-55.9
-17
33.3
33.8
37.5
-104.8
29.7
34.2
4.3
40.2
-29.3
-0.2
-95
-13.2
38.5
45.4
15.7
-123.6
12
37.5
-31.7
15.8
-64.1
-42.1
-207.4
-12.9
-5
53.9
19.7
-94.6
36
51.3
17.4
27.8
1.3
3.6
-97.9
14.1
50.8
63.5
58.6
-135.1
7.8
25.5
29.6
19.3
-26.2
7.3
-82.6
-26.1
55.3
98.8
41.7
-130.2
51.2
18.4
32
21.6
-12.5
46.6
-101.7
15.8
26
79.1
23.1
-86.9
-11.2
50.7
13.4
33.7
-16.9
-9.6




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time11 seconds
R Server'AstonUniversity' @ aston.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 & 11 seconds \tabularnewline
R Server & 'AstonUniversity' @ aston.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=147076&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]11 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'AstonUniversity' @ aston.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=147076&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=147076&T=0

As an alternative you can also use a 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 time11 seconds
R Server'AstonUniversity' @ aston.wessa.net







Multiple Linear Regression - Estimated Regression Equation
y[t] = -74.3133333333333 + 64.416559139785M1[t] + 96.5810752688172M2[t] + 113.235913978495M3[t] + 94.8520430107527M4[t] + 1.58752688172045M5[t] + 97.0843010752688M6[t] + 105.458494623656M7[t] + 91.4197849462366M8[t] + 89.7552688172043M9[t] + 52.2423655913978M10[t] + 71.8455913978495M11[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
y[t] =  -74.3133333333333 +  64.416559139785M1[t] +  96.5810752688172M2[t] +  113.235913978495M3[t] +  94.8520430107527M4[t] +  1.58752688172045M5[t] +  97.0843010752688M6[t] +  105.458494623656M7[t] +  91.4197849462366M8[t] +  89.7552688172043M9[t] +  52.2423655913978M10[t] +  71.8455913978495M11[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=147076&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]y[t] =  -74.3133333333333 +  64.416559139785M1[t] +  96.5810752688172M2[t] +  113.235913978495M3[t] +  94.8520430107527M4[t] +  1.58752688172045M5[t] +  97.0843010752688M6[t] +  105.458494623656M7[t] +  91.4197849462366M8[t] +  89.7552688172043M9[t] +  52.2423655913978M10[t] +  71.8455913978495M11[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=147076&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=147076&T=1

As an alternative you can also use a QR Code:  

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

Multiple Linear Regression - Estimated Regression Equation
y[t] = -74.3133333333333 + 64.416559139785M1[t] + 96.5810752688172M2[t] + 113.235913978495M3[t] + 94.8520430107527M4[t] + 1.58752688172045M5[t] + 97.0843010752688M6[t] + 105.458494623656M7[t] + 91.4197849462366M8[t] + 89.7552688172043M9[t] + 52.2423655913978M10[t] + 71.8455913978495M11[t] + e[t]







Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)-74.31333333333334.317684-17.211400
M164.4165591397856.05668410.635600
M296.58107526881726.05668415.946200
M3113.2359139784956.05668418.69600
M494.85204301075276.05668415.660700
M51.587526881720456.0566840.26210.7933860.396693
M697.08430107526886.05668416.029300
M7105.4584946236566.05668417.411900
M891.41978494623666.05668415.09400
M989.75526881720436.05668414.819200
M1052.24236559139786.0566848.625600
M1171.84559139784956.05668411.862200

\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) & -74.3133333333333 & 4.317684 & -17.2114 & 0 & 0 \tabularnewline
M1 & 64.416559139785 & 6.056684 & 10.6356 & 0 & 0 \tabularnewline
M2 & 96.5810752688172 & 6.056684 & 15.9462 & 0 & 0 \tabularnewline
M3 & 113.235913978495 & 6.056684 & 18.696 & 0 & 0 \tabularnewline
M4 & 94.8520430107527 & 6.056684 & 15.6607 & 0 & 0 \tabularnewline
M5 & 1.58752688172045 & 6.056684 & 0.2621 & 0.793386 & 0.396693 \tabularnewline
M6 & 97.0843010752688 & 6.056684 & 16.0293 & 0 & 0 \tabularnewline
M7 & 105.458494623656 & 6.056684 & 17.4119 & 0 & 0 \tabularnewline
M8 & 91.4197849462366 & 6.056684 & 15.094 & 0 & 0 \tabularnewline
M9 & 89.7552688172043 & 6.056684 & 14.8192 & 0 & 0 \tabularnewline
M10 & 52.2423655913978 & 6.056684 & 8.6256 & 0 & 0 \tabularnewline
M11 & 71.8455913978495 & 6.056684 & 11.8622 & 0 & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=147076&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]-74.3133333333333[/C][C]4.317684[/C][C]-17.2114[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]M1[/C][C]64.416559139785[/C][C]6.056684[/C][C]10.6356[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]M2[/C][C]96.5810752688172[/C][C]6.056684[/C][C]15.9462[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]M3[/C][C]113.235913978495[/C][C]6.056684[/C][C]18.696[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]M4[/C][C]94.8520430107527[/C][C]6.056684[/C][C]15.6607[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]M5[/C][C]1.58752688172045[/C][C]6.056684[/C][C]0.2621[/C][C]0.793386[/C][C]0.396693[/C][/ROW]
[ROW][C]M6[/C][C]97.0843010752688[/C][C]6.056684[/C][C]16.0293[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]M7[/C][C]105.458494623656[/C][C]6.056684[/C][C]17.4119[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]M8[/C][C]91.4197849462366[/C][C]6.056684[/C][C]15.094[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]M9[/C][C]89.7552688172043[/C][C]6.056684[/C][C]14.8192[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]M10[/C][C]52.2423655913978[/C][C]6.056684[/C][C]8.6256[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]M11[/C][C]71.8455913978495[/C][C]6.056684[/C][C]11.8622[/C][C]0[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=147076&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=147076&T=2

As an alternative you can also use a 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)-74.31333333333334.317684-17.211400
M164.4165591397856.05668410.635600
M296.58107526881726.05668415.946200
M3113.2359139784956.05668418.69600
M494.85204301075276.05668415.660700
M51.587526881720456.0566840.26210.7933860.396693
M697.08430107526886.05668416.029300
M7105.4584946236566.05668417.411900
M891.41978494623666.05668415.09400
M989.75526881720436.05668414.819200
M1052.24236559139786.0566848.625600
M1171.84559139784956.05668411.862200







Multiple Linear Regression - Regression Statistics
Multiple R0.841137907813319
R-squared0.707512979960567
Adjusted R-squared0.698550982132061
F-TEST (value)78.9458995080441
F-TEST (DF numerator)11
F-TEST (DF denominator)359
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation23.648928649723
Sum Squared Residuals200778.585634409

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.841137907813319 \tabularnewline
R-squared & 0.707512979960567 \tabularnewline
Adjusted R-squared & 0.698550982132061 \tabularnewline
F-TEST (value) & 78.9458995080441 \tabularnewline
F-TEST (DF numerator) & 11 \tabularnewline
F-TEST (DF denominator) & 359 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 23.648928649723 \tabularnewline
Sum Squared Residuals & 200778.585634409 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=147076&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.841137907813319[/C][/ROW]
[ROW][C]R-squared[/C][C]0.707512979960567[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.698550982132061[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]78.9458995080441[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]11[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]359[/C][/ROW]
[ROW][C]p-value[/C][C]0[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]23.648928649723[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]200778.585634409[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=147076&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=147076&T=3

As an alternative you can also use a QR Code:  

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

Multiple Linear Regression - Regression Statistics
Multiple R0.841137907813319
R-squared0.707512979960567
Adjusted R-squared0.698550982132061
F-TEST (value)78.9458995080441
F-TEST (DF numerator)11
F-TEST (DF denominator)359
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation23.648928649723
Sum Squared Residuals200778.585634409







Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
1-45.6-9.89677419354892-35.7032258064511
216.122.2677419354838-6.16774193548377
323.938.9225806451612-15.0225806451612
439.320.538709677419418.7612903225806
5-39.4-72.725806451612933.3258064516129
6-0.322.7709677419355-23.0709677419355
717.331.1451612903226-13.8451612903226
817.717.10645161290340.593548387096631
931.415.441935483870915.9580645161291
10-28.6-22.0709677419354-6.52903225806457
11-17.2-2.46774193548382-14.7322580645162
12-79-74.3133333333333-4.68666666666673
13-47.9-9.89677419354836-38.0032258064516
149.122.2677419354839-13.1677419354839
1510.638.9225806451613-28.3225806451613
16-23.920.5387096774193-44.4387096774193
17-45-72.725806451612927.7258064516129
18-42.222.7709677419355-64.9709677419355
1943.231.145161290322612.0548387096774
2032.117.106451612903214.9935483870968
21-15.315.441935483871-30.741935483871
2221.8-22.070967741935543.8709677419355
23-12-2.46774193548387-9.53225806451613
24-95.8-74.3133333333333-21.4866666666667
25-14.3-9.89677419354837-4.40322580645163
2647.822.267741935483925.5322580645161
2764.838.922580645161325.8774193548387
2840.220.538709677419419.6612903225806
29-28.8-72.725806451612943.9258064516129
3023.522.77096774193550.729032258064517
3170.331.145161290322639.1548387096774
3212.317.1064516129032-4.80645161290322
3343.515.44193548387128.058064516129
34-30.1-22.0709677419355-8.02903225806452
35-5.3-2.46774193548388-2.83225806451612
36-24-74.313333333333350.3133333333333
3711.1-9.8967741935483820.9967741935484
3821.522.2677419354839-0.767741935483872
3938.538.9225806451613-0.42258064516129
4016.820.5387096774194-3.73870967741935
41-36.2-72.725806451612936.5258064516129
42622.7709677419355-16.7709677419355
4326.631.1451612903226-4.54516129032258
44-817.1064516129032-25.1064516129032
4513.215.441935483871-2.24193548387097
46-23.6-22.0709677419355-1.52903225806452
4719.4-2.4677419354838821.8677419354839
48-46.2-74.313333333333328.1133333333333
49-8.2-9.896774193548371.69677419354837
5033.822.267741935483911.5322580645161
5116.638.9225806451613-22.3225806451613
525.420.5387096774194-15.1387096774194
53-25-72.725806451612947.7258064516129
54-5.322.7709677419355-28.0709677419355
5516.731.1451612903226-14.4451612903226
561917.10645161290321.89354838709678
5724.815.4419354838719.35806451612904
58-11.4-22.070967741935510.6709677419355
594.9-2.467741935483887.36774193548388
60-58.7-74.313333333333315.6133333333333
6116.8-9.8967741935483826.6967741935484
6213.622.2677419354839-8.66774193548388
636.438.9225806451613-32.5225806451613
6422.820.53870967741942.26129032258065
65-19.6-72.725806451612953.1258064516129
662.222.7709677419355-20.5709677419355
6719.831.1451612903226-11.3451612903226
68-10.717.1064516129032-27.8064516129032
694.715.441935483871-10.741935483871
70-44.5-22.0709677419355-22.4290322580645
71-34.7-2.46774193548386-32.2322580645161
72-119.7-74.3133333333333-45.3866666666667
73-42.2-9.89677419354837-32.3032258064516
74-5.422.2677419354839-27.6677419354839
7519.138.9225806451613-19.8225806451613
7618.820.5387096774194-1.73870967741935
77-2.3-72.725806451612970.4258064516129
780.222.7709677419355-22.5709677419355
7920.931.1451612903226-10.2451612903226
803.717.1064516129032-13.4064516129032
8150.415.44193548387134.958064516129
82-18.6-22.07096774193553.47096774193548
8310.6-2.4677419354838813.0677419354839
84-66-74.31333333333338.31333333333335
8510-9.8967741935483719.8967741935484
8627.222.26774193548394.93225806451613
8713.538.9225806451613-25.4225806451613
8847.220.538709677419326.6612903225807
89-20.3-72.725806451612952.4258064516129
9023.122.77096774193550.329032258064518
9112.631.1451612903226-18.5451612903226
9219.817.10645161290322.69354838709678
935.415.441935483871-10.041935483871
94-25.2-22.0709677419355-3.12903225806451
95-6.5-2.46774193548387-4.03225806451613
96-46.5-74.313333333333327.8133333333333
97-2.6-9.896774193548377.29677419354837
98-0.322.2677419354839-22.5677419354839
9938.538.9225806451613-0.42258064516129
100-8.920.5387096774194-29.4387096774194
101-38-72.725806451612934.7258064516129
10219.522.7709677419355-3.27096774193548
10351.731.145161290322620.5548387096774
10419.417.10645161290322.29354838709678
10518.215.4419354838712.75806451612903
106-50.8-22.0709677419355-28.7290322580645
107-6.1-2.46774193548387-3.63225806451613
108-54.6-74.313333333333319.7133333333333
10912.1-9.8967741935483821.9967741935484
11026.322.26774193548394.03225806451613
11119.538.9225806451613-19.4225806451613
112-0.820.5387096774194-21.3387096774194
113-49.6-72.725806451612923.1258064516129
11428.822.77096774193556.02903225806451
11531.731.14516129032260.554838709677425
1162.317.1064516129032-14.8064516129032
1173.815.441935483871-11.641935483871
118-66.2-22.0709677419355-44.1290322580645
119-20.5-2.46774193548387-18.0322580645161
120-113.2-74.3133333333333-38.8866666666667
121-65.2-9.89677419354836-55.3032258064516
122-3.922.2677419354839-26.1677419354839
1239.138.9225806451613-29.8225806451613
12423.220.53870967741942.66129032258065
125-39.1-72.725806451612933.6258064516129
12612.522.7709677419355-10.2709677419355
12749.131.145161290322617.9548387096774
12854.917.106451612903237.7935483870968
12930.815.44193548387115.358064516129
130-3.5-22.070967741935518.5709677419355
131-28.3-2.46774193548386-25.8322580645161
132-61-74.313333333333313.3133333333333
133-2-9.896774193548377.89677419354837
1344022.267741935483917.7322580645161
1357438.922580645161335.0774193548387
13623.120.53870967741942.56129032258065
137-45.3-72.725806451612927.4258064516129
13817.522.7709677419355-5.27096774193548
13925.831.1451612903226-5.34516129032258
14015.217.1064516129032-1.90645161290322
141-3.615.441935483871-19.041935483871
142-40.5-22.0709677419355-18.4290322580645
14311.5-2.4677419354838813.9677419354839
144-59.8-74.313333333333314.5133333333333
14523.3-9.8967741935483633.1967741935484
146-27.822.2677419354839-50.0677419354839
14755.738.922580645161316.7774193548387
14822.720.53870967741942.16129032258065
149-79.2-72.7258064516129-6.4741935483871
15028.822.77096774193556.02903225806451
15117.331.1451612903226-13.8451612903226
15239.617.106451612903222.4935483870968
153-22.215.441935483871-37.641935483871
154-43-22.0709677419355-20.9290322580645
155-50.3-2.46774193548387-47.8322580645161
156-86.5-74.3133333333334-12.1866666666666
157-31.9-9.89677419354838-22.0032258064516
15823.122.26774193548390.83225806451613
15953.638.922580645161314.6774193548387
16021.620.53870967741941.06129032258065
161-64.2-72.72580645161298.5258064516129
16235.222.770967741935512.4290322580645
16352.131.145161290322620.9548387096774
16440.617.106451612903223.4935483870968
16517.115.4419354838711.65806451612903
166-7.8-22.070967741935514.2709677419355
167-10-2.46774193548387-7.53225806451613
168-58-74.313333333333316.3133333333333
16914-9.8967741935483823.8967741935484
17015.822.2677419354839-6.46774193548387
1714638.92258064516137.0774193548387
172-8.920.5387096774194-29.4387096774194
173-26.7-72.725806451612946.0258064516129
1743922.770967741935516.2290322580645
175-1.331.1451612903226-32.4451612903226
17638.717.106451612903221.5935483870968
17722.115.4419354838716.65806451612904
178-49.2-22.0709677419355-27.1290322580645
179-3.4-2.46774193548387-0.932258064516125
180-86.7-74.3133333333334-12.3866666666666
181-24.3-9.89677419354837-14.4032258064516
18242.822.267741935483920.5322580645161
18344.938.92258064516135.97741935483871
1844.420.5387096774193-16.1387096774193
185-60.5-72.725806451612912.2258064516129
18641.422.770967741935518.6290322580645
18738.531.14516129032267.35483870967743
18828.517.106451612903211.3935483870968
1897.615.441935483871-7.84193548387097
190-46.4-22.0709677419355-24.3290322580645
1917-2.467741935483889.46774193548388
192-73-74.31333333333341.31333333333335
1935.7-9.8967741935483715.5967741935484
19423.622.26774193548391.33225806451613
19539.438.92258064516130.477419354838709
19630.320.53870967741949.76129032258064
197-92.5-72.7258064516129-19.7741935483871
19877.822.770967741935555.0290322580645
19912.431.1451612903226-18.7451612903226
20028.917.106451612903211.7935483870968
2016.415.441935483871-9.04193548387097
202-12-22.070967741935510.0709677419355
203-9.1-2.46774193548387-6.63225806451613
204-53.2-74.313333333333321.1133333333333
205-23.1-9.89677419354837-13.2032258064516
20647.322.267741935483925.0322580645161
20720.738.9225806451613-18.2225806451613
20827.820.53870967741947.26129032258065
209-84.3-72.7258064516129-11.5741935483871
21062.822.770967741935540.0290322580645
21126.431.1451612903226-4.74516129032258
21232.317.106451612903215.1935483870968
21313.315.441935483871-2.14193548387097
214-17.9-22.07096774193554.17096774193549
21510-2.4677419354838812.4677419354839
216-45.6-74.313333333333328.7133333333333
21713.5-9.8967741935483823.3967741935484
21811.922.2677419354839-10.3677419354839
2192638.9225806451613-12.9225806451613
220-6.320.5387096774194-26.8387096774194
221-79.9-72.7258064516129-7.1741935483871
22254.222.770967741935531.4290322580645
22322.931.1451612903226-8.24516129032259
22431.817.106451612903214.6935483870968
2253.815.441935483871-11.641935483871
226-11.4-22.070967741935510.6709677419355
227-8.6-2.46774193548387-6.13225806451613
228-49.4-74.313333333333324.9133333333333
229-2.5-9.896774193548377.39677419354837
2302322.26774193548390.732258064516128
2312938.9225806451613-9.9225806451613
23220.620.53870967741940.0612903225806472
233-117-72.7258064516129-44.2741935483871
23437.922.770967741935515.1290322580645
23530.731.1451612903226-0.445161290322575
2364.717.1064516129032-12.4064516129032
237-5.715.441935483871-21.141935483871
2384.9-22.070967741935526.9709677419355
23918.3-2.4677419354838720.7677419354839
240-35.4-74.313333333333338.9133333333333
241-21.3-9.89677419354837-11.4032258064516
24235.822.267741935483913.5322580645161
24343.838.92258064516134.8774193548387
24418.720.5387096774194-1.83870967741935
245-131.1-72.725806451613-58.3741935483871
24639.822.770967741935517.0290322580645
24744.531.145161290322613.3548387096774
24816.517.1064516129032-0.606451612903222
2499.715.441935483871-5.74193548387097
250-6.6-22.070967741935515.4709677419355
25115.8-2.4677419354838718.2677419354839
252-45.7-74.313333333333328.6133333333333
253-4.8-9.896774193548375.09677419354837
25417.622.2677419354839-4.66774193548387
25520.538.9225806451613-18.4225806451613
25624.220.53870967741943.66129032258064
257-109-72.7258064516129-36.2741935483871
25820.822.7709677419355-1.97096774193549
25931.231.14516129032260.0548387096774251
260-8.817.1064516129032-25.9064516129032
26111.815.441935483871-3.64193548387097
26213-22.070967741935535.0709677419355
2638.3-2.4677419354838810.7677419354839
264-77.9-74.3133333333334-3.58666666666665
265-38.8-9.89677419354837-28.9032258064516
2666.122.2677419354839-16.1677419354839
26718.138.9225806451613-20.8225806451613
26816.820.5387096774194-3.73870967741935
269-128.5-72.7258064516129-55.7741935483871
27015.922.7709677419355-6.87096774193548
2712931.1451612903226-2.14516129032258
272-7.217.1064516129032-24.3064516129032
2733.315.441935483871-12.141935483871
274-34.8-22.0709677419355-12.7290322580645
275-2.9-2.46774193548387-0.432258064516126
276-77.8-74.3133333333334-3.48666666666664
277-2.8-9.896774193548377.09677419354837
27826.722.26774193548394.43225806451613
27948.138.92258064516139.1774193548387
2803020.53870967741949.46129032258064
281-109.6-72.7258064516129-36.8741935483871
2821622.7709677419355-6.77096774193548
28326.931.1451612903226-4.24516129032258
28422.117.10645161290324.99354838709678
2852715.44193548387111.558064516129
286-24.5-22.0709677419355-2.42903225806451
28712-2.4677419354838714.4677419354839
288-75.2-74.3133333333334-0.886666666666649
2893.5-9.8967741935483713.3967741935484
29019.722.2677419354839-2.56774193548387
29151.838.922580645161312.8774193548387
29235.320.538709677419414.7612903225806
293-108.2-72.7258064516129-35.4741935483871
29425.322.77096774193552.52903225806451
29531.631.14516129032260.454838709677424
29619.917.10645161290322.79354838709678
29718.815.4419354838713.35806451612903
29820.4-22.070967741935542.4709677419355
29915-2.4677419354838717.4677419354839
300-55.9-74.313333333333318.4133333333333
301-17-9.89677419354837-7.10322580645163
30233.322.267741935483911.0322580645161
30333.838.9225806451613-5.12258064516129
30437.520.538709677419416.9612903225806
305-104.8-72.7258064516129-32.0741935483871
30629.722.77096774193556.92903225806451
30734.231.14516129032263.05483870967742
3084.317.1064516129032-12.8064516129032
30940.215.44193548387124.758064516129
310-29.3-22.0709677419355-7.22903225806452
311-0.2-2.467741935483882.26774193548388
312-95-74.3133333333333-20.6866666666667
313-13.2-9.89677419354837-3.30322580645163
31438.522.267741935483916.2322580645161
31545.438.92258064516136.4774193548387
31615.720.5387096774194-4.83870967741935
317-123.6-72.7258064516129-50.8741935483871
3181222.7709677419355-10.7709677419355
31937.531.14516129032266.35483870967742
320-31.717.1064516129032-48.8064516129032
32115.815.4419354838710.358064516129034
322-64.1-22.0709677419355-42.0290322580645
323-42.1-2.46774193548387-39.6322580645161
324-207.4-74.3133333333333-133.086666666667
325-12.9-9.89677419354837-3.00322580645163
326-522.2677419354839-27.2677419354839
32753.938.922580645161314.9774193548387
32819.720.5387096774194-0.838709677419355
329-94.6-72.7258064516129-21.8741935483871
3303622.770967741935513.2290322580645
33151.331.145161290322620.1548387096774
33217.417.10645161290320.293548387096777
33327.815.44193548387112.358064516129
3341.3-22.070967741935523.3709677419355
3353.6-2.467741935483876.06774193548387
336-97.9-74.3133333333333-23.5866666666667
33714.1-9.8967741935483823.9967741935484
33850.822.267741935483928.5322580645161
33963.538.922580645161324.5774193548387
34058.620.538709677419338.0612903225807
341-135.1-72.7258064516129-62.3741935483871
3427.822.7709677419355-14.9709677419355
34325.531.1451612903226-5.64516129032258
34429.617.106451612903212.4935483870968
34519.315.4419354838713.85806451612903
346-26.2-22.0709677419355-4.12903225806451
3477.3-2.467741935483889.76774193548388
348-82.6-74.3133333333333-8.28666666666664
349-26.1-9.89677419354837-16.2032258064516
35055.322.267741935483933.0322580645161
35198.838.922580645161359.8774193548387
35241.720.538709677419421.1612903225806
353-130.2-72.725806451613-57.4741935483871
35451.222.770967741935528.4290322580645
35518.431.1451612903226-12.7451612903226
3563217.106451612903214.8935483870968
35721.615.4419354838716.15806451612904
358-12.5-22.07096774193559.57096774193549
35946.6-2.4677419354838749.0677419354839
360-101.7-74.3133333333333-27.3866666666667
36115.8-9.8967741935483825.6967741935484
3622622.26774193548393.73225806451613
36379.138.922580645161340.1774193548387
36423.120.53870967741942.56129032258065
365-86.9-72.7258064516129-14.1741935483871
366-11.222.7709677419355-33.9709677419355
36750.731.145161290322619.5548387096774
36813.417.1064516129032-3.70645161290322
36933.715.44193548387118.258064516129
370-16.9-22.07096774193555.17096774193548
371-9.6-2.46774193548387-7.13225806451613

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & -45.6 & -9.89677419354892 & -35.7032258064511 \tabularnewline
2 & 16.1 & 22.2677419354838 & -6.16774193548377 \tabularnewline
3 & 23.9 & 38.9225806451612 & -15.0225806451612 \tabularnewline
4 & 39.3 & 20.5387096774194 & 18.7612903225806 \tabularnewline
5 & -39.4 & -72.7258064516129 & 33.3258064516129 \tabularnewline
6 & -0.3 & 22.7709677419355 & -23.0709677419355 \tabularnewline
7 & 17.3 & 31.1451612903226 & -13.8451612903226 \tabularnewline
8 & 17.7 & 17.1064516129034 & 0.593548387096631 \tabularnewline
9 & 31.4 & 15.4419354838709 & 15.9580645161291 \tabularnewline
10 & -28.6 & -22.0709677419354 & -6.52903225806457 \tabularnewline
11 & -17.2 & -2.46774193548382 & -14.7322580645162 \tabularnewline
12 & -79 & -74.3133333333333 & -4.68666666666673 \tabularnewline
13 & -47.9 & -9.89677419354836 & -38.0032258064516 \tabularnewline
14 & 9.1 & 22.2677419354839 & -13.1677419354839 \tabularnewline
15 & 10.6 & 38.9225806451613 & -28.3225806451613 \tabularnewline
16 & -23.9 & 20.5387096774193 & -44.4387096774193 \tabularnewline
17 & -45 & -72.7258064516129 & 27.7258064516129 \tabularnewline
18 & -42.2 & 22.7709677419355 & -64.9709677419355 \tabularnewline
19 & 43.2 & 31.1451612903226 & 12.0548387096774 \tabularnewline
20 & 32.1 & 17.1064516129032 & 14.9935483870968 \tabularnewline
21 & -15.3 & 15.441935483871 & -30.741935483871 \tabularnewline
22 & 21.8 & -22.0709677419355 & 43.8709677419355 \tabularnewline
23 & -12 & -2.46774193548387 & -9.53225806451613 \tabularnewline
24 & -95.8 & -74.3133333333333 & -21.4866666666667 \tabularnewline
25 & -14.3 & -9.89677419354837 & -4.40322580645163 \tabularnewline
26 & 47.8 & 22.2677419354839 & 25.5322580645161 \tabularnewline
27 & 64.8 & 38.9225806451613 & 25.8774193548387 \tabularnewline
28 & 40.2 & 20.5387096774194 & 19.6612903225806 \tabularnewline
29 & -28.8 & -72.7258064516129 & 43.9258064516129 \tabularnewline
30 & 23.5 & 22.7709677419355 & 0.729032258064517 \tabularnewline
31 & 70.3 & 31.1451612903226 & 39.1548387096774 \tabularnewline
32 & 12.3 & 17.1064516129032 & -4.80645161290322 \tabularnewline
33 & 43.5 & 15.441935483871 & 28.058064516129 \tabularnewline
34 & -30.1 & -22.0709677419355 & -8.02903225806452 \tabularnewline
35 & -5.3 & -2.46774193548388 & -2.83225806451612 \tabularnewline
36 & -24 & -74.3133333333333 & 50.3133333333333 \tabularnewline
37 & 11.1 & -9.89677419354838 & 20.9967741935484 \tabularnewline
38 & 21.5 & 22.2677419354839 & -0.767741935483872 \tabularnewline
39 & 38.5 & 38.9225806451613 & -0.42258064516129 \tabularnewline
40 & 16.8 & 20.5387096774194 & -3.73870967741935 \tabularnewline
41 & -36.2 & -72.7258064516129 & 36.5258064516129 \tabularnewline
42 & 6 & 22.7709677419355 & -16.7709677419355 \tabularnewline
43 & 26.6 & 31.1451612903226 & -4.54516129032258 \tabularnewline
44 & -8 & 17.1064516129032 & -25.1064516129032 \tabularnewline
45 & 13.2 & 15.441935483871 & -2.24193548387097 \tabularnewline
46 & -23.6 & -22.0709677419355 & -1.52903225806452 \tabularnewline
47 & 19.4 & -2.46774193548388 & 21.8677419354839 \tabularnewline
48 & -46.2 & -74.3133333333333 & 28.1133333333333 \tabularnewline
49 & -8.2 & -9.89677419354837 & 1.69677419354837 \tabularnewline
50 & 33.8 & 22.2677419354839 & 11.5322580645161 \tabularnewline
51 & 16.6 & 38.9225806451613 & -22.3225806451613 \tabularnewline
52 & 5.4 & 20.5387096774194 & -15.1387096774194 \tabularnewline
53 & -25 & -72.7258064516129 & 47.7258064516129 \tabularnewline
54 & -5.3 & 22.7709677419355 & -28.0709677419355 \tabularnewline
55 & 16.7 & 31.1451612903226 & -14.4451612903226 \tabularnewline
56 & 19 & 17.1064516129032 & 1.89354838709678 \tabularnewline
57 & 24.8 & 15.441935483871 & 9.35806451612904 \tabularnewline
58 & -11.4 & -22.0709677419355 & 10.6709677419355 \tabularnewline
59 & 4.9 & -2.46774193548388 & 7.36774193548388 \tabularnewline
60 & -58.7 & -74.3133333333333 & 15.6133333333333 \tabularnewline
61 & 16.8 & -9.89677419354838 & 26.6967741935484 \tabularnewline
62 & 13.6 & 22.2677419354839 & -8.66774193548388 \tabularnewline
63 & 6.4 & 38.9225806451613 & -32.5225806451613 \tabularnewline
64 & 22.8 & 20.5387096774194 & 2.26129032258065 \tabularnewline
65 & -19.6 & -72.7258064516129 & 53.1258064516129 \tabularnewline
66 & 2.2 & 22.7709677419355 & -20.5709677419355 \tabularnewline
67 & 19.8 & 31.1451612903226 & -11.3451612903226 \tabularnewline
68 & -10.7 & 17.1064516129032 & -27.8064516129032 \tabularnewline
69 & 4.7 & 15.441935483871 & -10.741935483871 \tabularnewline
70 & -44.5 & -22.0709677419355 & -22.4290322580645 \tabularnewline
71 & -34.7 & -2.46774193548386 & -32.2322580645161 \tabularnewline
72 & -119.7 & -74.3133333333333 & -45.3866666666667 \tabularnewline
73 & -42.2 & -9.89677419354837 & -32.3032258064516 \tabularnewline
74 & -5.4 & 22.2677419354839 & -27.6677419354839 \tabularnewline
75 & 19.1 & 38.9225806451613 & -19.8225806451613 \tabularnewline
76 & 18.8 & 20.5387096774194 & -1.73870967741935 \tabularnewline
77 & -2.3 & -72.7258064516129 & 70.4258064516129 \tabularnewline
78 & 0.2 & 22.7709677419355 & -22.5709677419355 \tabularnewline
79 & 20.9 & 31.1451612903226 & -10.2451612903226 \tabularnewline
80 & 3.7 & 17.1064516129032 & -13.4064516129032 \tabularnewline
81 & 50.4 & 15.441935483871 & 34.958064516129 \tabularnewline
82 & -18.6 & -22.0709677419355 & 3.47096774193548 \tabularnewline
83 & 10.6 & -2.46774193548388 & 13.0677419354839 \tabularnewline
84 & -66 & -74.3133333333333 & 8.31333333333335 \tabularnewline
85 & 10 & -9.89677419354837 & 19.8967741935484 \tabularnewline
86 & 27.2 & 22.2677419354839 & 4.93225806451613 \tabularnewline
87 & 13.5 & 38.9225806451613 & -25.4225806451613 \tabularnewline
88 & 47.2 & 20.5387096774193 & 26.6612903225807 \tabularnewline
89 & -20.3 & -72.7258064516129 & 52.4258064516129 \tabularnewline
90 & 23.1 & 22.7709677419355 & 0.329032258064518 \tabularnewline
91 & 12.6 & 31.1451612903226 & -18.5451612903226 \tabularnewline
92 & 19.8 & 17.1064516129032 & 2.69354838709678 \tabularnewline
93 & 5.4 & 15.441935483871 & -10.041935483871 \tabularnewline
94 & -25.2 & -22.0709677419355 & -3.12903225806451 \tabularnewline
95 & -6.5 & -2.46774193548387 & -4.03225806451613 \tabularnewline
96 & -46.5 & -74.3133333333333 & 27.8133333333333 \tabularnewline
97 & -2.6 & -9.89677419354837 & 7.29677419354837 \tabularnewline
98 & -0.3 & 22.2677419354839 & -22.5677419354839 \tabularnewline
99 & 38.5 & 38.9225806451613 & -0.42258064516129 \tabularnewline
100 & -8.9 & 20.5387096774194 & -29.4387096774194 \tabularnewline
101 & -38 & -72.7258064516129 & 34.7258064516129 \tabularnewline
102 & 19.5 & 22.7709677419355 & -3.27096774193548 \tabularnewline
103 & 51.7 & 31.1451612903226 & 20.5548387096774 \tabularnewline
104 & 19.4 & 17.1064516129032 & 2.29354838709678 \tabularnewline
105 & 18.2 & 15.441935483871 & 2.75806451612903 \tabularnewline
106 & -50.8 & -22.0709677419355 & -28.7290322580645 \tabularnewline
107 & -6.1 & -2.46774193548387 & -3.63225806451613 \tabularnewline
108 & -54.6 & -74.3133333333333 & 19.7133333333333 \tabularnewline
109 & 12.1 & -9.89677419354838 & 21.9967741935484 \tabularnewline
110 & 26.3 & 22.2677419354839 & 4.03225806451613 \tabularnewline
111 & 19.5 & 38.9225806451613 & -19.4225806451613 \tabularnewline
112 & -0.8 & 20.5387096774194 & -21.3387096774194 \tabularnewline
113 & -49.6 & -72.7258064516129 & 23.1258064516129 \tabularnewline
114 & 28.8 & 22.7709677419355 & 6.02903225806451 \tabularnewline
115 & 31.7 & 31.1451612903226 & 0.554838709677425 \tabularnewline
116 & 2.3 & 17.1064516129032 & -14.8064516129032 \tabularnewline
117 & 3.8 & 15.441935483871 & -11.641935483871 \tabularnewline
118 & -66.2 & -22.0709677419355 & -44.1290322580645 \tabularnewline
119 & -20.5 & -2.46774193548387 & -18.0322580645161 \tabularnewline
120 & -113.2 & -74.3133333333333 & -38.8866666666667 \tabularnewline
121 & -65.2 & -9.89677419354836 & -55.3032258064516 \tabularnewline
122 & -3.9 & 22.2677419354839 & -26.1677419354839 \tabularnewline
123 & 9.1 & 38.9225806451613 & -29.8225806451613 \tabularnewline
124 & 23.2 & 20.5387096774194 & 2.66129032258065 \tabularnewline
125 & -39.1 & -72.7258064516129 & 33.6258064516129 \tabularnewline
126 & 12.5 & 22.7709677419355 & -10.2709677419355 \tabularnewline
127 & 49.1 & 31.1451612903226 & 17.9548387096774 \tabularnewline
128 & 54.9 & 17.1064516129032 & 37.7935483870968 \tabularnewline
129 & 30.8 & 15.441935483871 & 15.358064516129 \tabularnewline
130 & -3.5 & -22.0709677419355 & 18.5709677419355 \tabularnewline
131 & -28.3 & -2.46774193548386 & -25.8322580645161 \tabularnewline
132 & -61 & -74.3133333333333 & 13.3133333333333 \tabularnewline
133 & -2 & -9.89677419354837 & 7.89677419354837 \tabularnewline
134 & 40 & 22.2677419354839 & 17.7322580645161 \tabularnewline
135 & 74 & 38.9225806451613 & 35.0774193548387 \tabularnewline
136 & 23.1 & 20.5387096774194 & 2.56129032258065 \tabularnewline
137 & -45.3 & -72.7258064516129 & 27.4258064516129 \tabularnewline
138 & 17.5 & 22.7709677419355 & -5.27096774193548 \tabularnewline
139 & 25.8 & 31.1451612903226 & -5.34516129032258 \tabularnewline
140 & 15.2 & 17.1064516129032 & -1.90645161290322 \tabularnewline
141 & -3.6 & 15.441935483871 & -19.041935483871 \tabularnewline
142 & -40.5 & -22.0709677419355 & -18.4290322580645 \tabularnewline
143 & 11.5 & -2.46774193548388 & 13.9677419354839 \tabularnewline
144 & -59.8 & -74.3133333333333 & 14.5133333333333 \tabularnewline
145 & 23.3 & -9.89677419354836 & 33.1967741935484 \tabularnewline
146 & -27.8 & 22.2677419354839 & -50.0677419354839 \tabularnewline
147 & 55.7 & 38.9225806451613 & 16.7774193548387 \tabularnewline
148 & 22.7 & 20.5387096774194 & 2.16129032258065 \tabularnewline
149 & -79.2 & -72.7258064516129 & -6.4741935483871 \tabularnewline
150 & 28.8 & 22.7709677419355 & 6.02903225806451 \tabularnewline
151 & 17.3 & 31.1451612903226 & -13.8451612903226 \tabularnewline
152 & 39.6 & 17.1064516129032 & 22.4935483870968 \tabularnewline
153 & -22.2 & 15.441935483871 & -37.641935483871 \tabularnewline
154 & -43 & -22.0709677419355 & -20.9290322580645 \tabularnewline
155 & -50.3 & -2.46774193548387 & -47.8322580645161 \tabularnewline
156 & -86.5 & -74.3133333333334 & -12.1866666666666 \tabularnewline
157 & -31.9 & -9.89677419354838 & -22.0032258064516 \tabularnewline
158 & 23.1 & 22.2677419354839 & 0.83225806451613 \tabularnewline
159 & 53.6 & 38.9225806451613 & 14.6774193548387 \tabularnewline
160 & 21.6 & 20.5387096774194 & 1.06129032258065 \tabularnewline
161 & -64.2 & -72.7258064516129 & 8.5258064516129 \tabularnewline
162 & 35.2 & 22.7709677419355 & 12.4290322580645 \tabularnewline
163 & 52.1 & 31.1451612903226 & 20.9548387096774 \tabularnewline
164 & 40.6 & 17.1064516129032 & 23.4935483870968 \tabularnewline
165 & 17.1 & 15.441935483871 & 1.65806451612903 \tabularnewline
166 & -7.8 & -22.0709677419355 & 14.2709677419355 \tabularnewline
167 & -10 & -2.46774193548387 & -7.53225806451613 \tabularnewline
168 & -58 & -74.3133333333333 & 16.3133333333333 \tabularnewline
169 & 14 & -9.89677419354838 & 23.8967741935484 \tabularnewline
170 & 15.8 & 22.2677419354839 & -6.46774193548387 \tabularnewline
171 & 46 & 38.9225806451613 & 7.0774193548387 \tabularnewline
172 & -8.9 & 20.5387096774194 & -29.4387096774194 \tabularnewline
173 & -26.7 & -72.7258064516129 & 46.0258064516129 \tabularnewline
174 & 39 & 22.7709677419355 & 16.2290322580645 \tabularnewline
175 & -1.3 & 31.1451612903226 & -32.4451612903226 \tabularnewline
176 & 38.7 & 17.1064516129032 & 21.5935483870968 \tabularnewline
177 & 22.1 & 15.441935483871 & 6.65806451612904 \tabularnewline
178 & -49.2 & -22.0709677419355 & -27.1290322580645 \tabularnewline
179 & -3.4 & -2.46774193548387 & -0.932258064516125 \tabularnewline
180 & -86.7 & -74.3133333333334 & -12.3866666666666 \tabularnewline
181 & -24.3 & -9.89677419354837 & -14.4032258064516 \tabularnewline
182 & 42.8 & 22.2677419354839 & 20.5322580645161 \tabularnewline
183 & 44.9 & 38.9225806451613 & 5.97741935483871 \tabularnewline
184 & 4.4 & 20.5387096774193 & -16.1387096774193 \tabularnewline
185 & -60.5 & -72.7258064516129 & 12.2258064516129 \tabularnewline
186 & 41.4 & 22.7709677419355 & 18.6290322580645 \tabularnewline
187 & 38.5 & 31.1451612903226 & 7.35483870967743 \tabularnewline
188 & 28.5 & 17.1064516129032 & 11.3935483870968 \tabularnewline
189 & 7.6 & 15.441935483871 & -7.84193548387097 \tabularnewline
190 & -46.4 & -22.0709677419355 & -24.3290322580645 \tabularnewline
191 & 7 & -2.46774193548388 & 9.46774193548388 \tabularnewline
192 & -73 & -74.3133333333334 & 1.31333333333335 \tabularnewline
193 & 5.7 & -9.89677419354837 & 15.5967741935484 \tabularnewline
194 & 23.6 & 22.2677419354839 & 1.33225806451613 \tabularnewline
195 & 39.4 & 38.9225806451613 & 0.477419354838709 \tabularnewline
196 & 30.3 & 20.5387096774194 & 9.76129032258064 \tabularnewline
197 & -92.5 & -72.7258064516129 & -19.7741935483871 \tabularnewline
198 & 77.8 & 22.7709677419355 & 55.0290322580645 \tabularnewline
199 & 12.4 & 31.1451612903226 & -18.7451612903226 \tabularnewline
200 & 28.9 & 17.1064516129032 & 11.7935483870968 \tabularnewline
201 & 6.4 & 15.441935483871 & -9.04193548387097 \tabularnewline
202 & -12 & -22.0709677419355 & 10.0709677419355 \tabularnewline
203 & -9.1 & -2.46774193548387 & -6.63225806451613 \tabularnewline
204 & -53.2 & -74.3133333333333 & 21.1133333333333 \tabularnewline
205 & -23.1 & -9.89677419354837 & -13.2032258064516 \tabularnewline
206 & 47.3 & 22.2677419354839 & 25.0322580645161 \tabularnewline
207 & 20.7 & 38.9225806451613 & -18.2225806451613 \tabularnewline
208 & 27.8 & 20.5387096774194 & 7.26129032258065 \tabularnewline
209 & -84.3 & -72.7258064516129 & -11.5741935483871 \tabularnewline
210 & 62.8 & 22.7709677419355 & 40.0290322580645 \tabularnewline
211 & 26.4 & 31.1451612903226 & -4.74516129032258 \tabularnewline
212 & 32.3 & 17.1064516129032 & 15.1935483870968 \tabularnewline
213 & 13.3 & 15.441935483871 & -2.14193548387097 \tabularnewline
214 & -17.9 & -22.0709677419355 & 4.17096774193549 \tabularnewline
215 & 10 & -2.46774193548388 & 12.4677419354839 \tabularnewline
216 & -45.6 & -74.3133333333333 & 28.7133333333333 \tabularnewline
217 & 13.5 & -9.89677419354838 & 23.3967741935484 \tabularnewline
218 & 11.9 & 22.2677419354839 & -10.3677419354839 \tabularnewline
219 & 26 & 38.9225806451613 & -12.9225806451613 \tabularnewline
220 & -6.3 & 20.5387096774194 & -26.8387096774194 \tabularnewline
221 & -79.9 & -72.7258064516129 & -7.1741935483871 \tabularnewline
222 & 54.2 & 22.7709677419355 & 31.4290322580645 \tabularnewline
223 & 22.9 & 31.1451612903226 & -8.24516129032259 \tabularnewline
224 & 31.8 & 17.1064516129032 & 14.6935483870968 \tabularnewline
225 & 3.8 & 15.441935483871 & -11.641935483871 \tabularnewline
226 & -11.4 & -22.0709677419355 & 10.6709677419355 \tabularnewline
227 & -8.6 & -2.46774193548387 & -6.13225806451613 \tabularnewline
228 & -49.4 & -74.3133333333333 & 24.9133333333333 \tabularnewline
229 & -2.5 & -9.89677419354837 & 7.39677419354837 \tabularnewline
230 & 23 & 22.2677419354839 & 0.732258064516128 \tabularnewline
231 & 29 & 38.9225806451613 & -9.9225806451613 \tabularnewline
232 & 20.6 & 20.5387096774194 & 0.0612903225806472 \tabularnewline
233 & -117 & -72.7258064516129 & -44.2741935483871 \tabularnewline
234 & 37.9 & 22.7709677419355 & 15.1290322580645 \tabularnewline
235 & 30.7 & 31.1451612903226 & -0.445161290322575 \tabularnewline
236 & 4.7 & 17.1064516129032 & -12.4064516129032 \tabularnewline
237 & -5.7 & 15.441935483871 & -21.141935483871 \tabularnewline
238 & 4.9 & -22.0709677419355 & 26.9709677419355 \tabularnewline
239 & 18.3 & -2.46774193548387 & 20.7677419354839 \tabularnewline
240 & -35.4 & -74.3133333333333 & 38.9133333333333 \tabularnewline
241 & -21.3 & -9.89677419354837 & -11.4032258064516 \tabularnewline
242 & 35.8 & 22.2677419354839 & 13.5322580645161 \tabularnewline
243 & 43.8 & 38.9225806451613 & 4.8774193548387 \tabularnewline
244 & 18.7 & 20.5387096774194 & -1.83870967741935 \tabularnewline
245 & -131.1 & -72.725806451613 & -58.3741935483871 \tabularnewline
246 & 39.8 & 22.7709677419355 & 17.0290322580645 \tabularnewline
247 & 44.5 & 31.1451612903226 & 13.3548387096774 \tabularnewline
248 & 16.5 & 17.1064516129032 & -0.606451612903222 \tabularnewline
249 & 9.7 & 15.441935483871 & -5.74193548387097 \tabularnewline
250 & -6.6 & -22.0709677419355 & 15.4709677419355 \tabularnewline
251 & 15.8 & -2.46774193548387 & 18.2677419354839 \tabularnewline
252 & -45.7 & -74.3133333333333 & 28.6133333333333 \tabularnewline
253 & -4.8 & -9.89677419354837 & 5.09677419354837 \tabularnewline
254 & 17.6 & 22.2677419354839 & -4.66774193548387 \tabularnewline
255 & 20.5 & 38.9225806451613 & -18.4225806451613 \tabularnewline
256 & 24.2 & 20.5387096774194 & 3.66129032258064 \tabularnewline
257 & -109 & -72.7258064516129 & -36.2741935483871 \tabularnewline
258 & 20.8 & 22.7709677419355 & -1.97096774193549 \tabularnewline
259 & 31.2 & 31.1451612903226 & 0.0548387096774251 \tabularnewline
260 & -8.8 & 17.1064516129032 & -25.9064516129032 \tabularnewline
261 & 11.8 & 15.441935483871 & -3.64193548387097 \tabularnewline
262 & 13 & -22.0709677419355 & 35.0709677419355 \tabularnewline
263 & 8.3 & -2.46774193548388 & 10.7677419354839 \tabularnewline
264 & -77.9 & -74.3133333333334 & -3.58666666666665 \tabularnewline
265 & -38.8 & -9.89677419354837 & -28.9032258064516 \tabularnewline
266 & 6.1 & 22.2677419354839 & -16.1677419354839 \tabularnewline
267 & 18.1 & 38.9225806451613 & -20.8225806451613 \tabularnewline
268 & 16.8 & 20.5387096774194 & -3.73870967741935 \tabularnewline
269 & -128.5 & -72.7258064516129 & -55.7741935483871 \tabularnewline
270 & 15.9 & 22.7709677419355 & -6.87096774193548 \tabularnewline
271 & 29 & 31.1451612903226 & -2.14516129032258 \tabularnewline
272 & -7.2 & 17.1064516129032 & -24.3064516129032 \tabularnewline
273 & 3.3 & 15.441935483871 & -12.141935483871 \tabularnewline
274 & -34.8 & -22.0709677419355 & -12.7290322580645 \tabularnewline
275 & -2.9 & -2.46774193548387 & -0.432258064516126 \tabularnewline
276 & -77.8 & -74.3133333333334 & -3.48666666666664 \tabularnewline
277 & -2.8 & -9.89677419354837 & 7.09677419354837 \tabularnewline
278 & 26.7 & 22.2677419354839 & 4.43225806451613 \tabularnewline
279 & 48.1 & 38.9225806451613 & 9.1774193548387 \tabularnewline
280 & 30 & 20.5387096774194 & 9.46129032258064 \tabularnewline
281 & -109.6 & -72.7258064516129 & -36.8741935483871 \tabularnewline
282 & 16 & 22.7709677419355 & -6.77096774193548 \tabularnewline
283 & 26.9 & 31.1451612903226 & -4.24516129032258 \tabularnewline
284 & 22.1 & 17.1064516129032 & 4.99354838709678 \tabularnewline
285 & 27 & 15.441935483871 & 11.558064516129 \tabularnewline
286 & -24.5 & -22.0709677419355 & -2.42903225806451 \tabularnewline
287 & 12 & -2.46774193548387 & 14.4677419354839 \tabularnewline
288 & -75.2 & -74.3133333333334 & -0.886666666666649 \tabularnewline
289 & 3.5 & -9.89677419354837 & 13.3967741935484 \tabularnewline
290 & 19.7 & 22.2677419354839 & -2.56774193548387 \tabularnewline
291 & 51.8 & 38.9225806451613 & 12.8774193548387 \tabularnewline
292 & 35.3 & 20.5387096774194 & 14.7612903225806 \tabularnewline
293 & -108.2 & -72.7258064516129 & -35.4741935483871 \tabularnewline
294 & 25.3 & 22.7709677419355 & 2.52903225806451 \tabularnewline
295 & 31.6 & 31.1451612903226 & 0.454838709677424 \tabularnewline
296 & 19.9 & 17.1064516129032 & 2.79354838709678 \tabularnewline
297 & 18.8 & 15.441935483871 & 3.35806451612903 \tabularnewline
298 & 20.4 & -22.0709677419355 & 42.4709677419355 \tabularnewline
299 & 15 & -2.46774193548387 & 17.4677419354839 \tabularnewline
300 & -55.9 & -74.3133333333333 & 18.4133333333333 \tabularnewline
301 & -17 & -9.89677419354837 & -7.10322580645163 \tabularnewline
302 & 33.3 & 22.2677419354839 & 11.0322580645161 \tabularnewline
303 & 33.8 & 38.9225806451613 & -5.12258064516129 \tabularnewline
304 & 37.5 & 20.5387096774194 & 16.9612903225806 \tabularnewline
305 & -104.8 & -72.7258064516129 & -32.0741935483871 \tabularnewline
306 & 29.7 & 22.7709677419355 & 6.92903225806451 \tabularnewline
307 & 34.2 & 31.1451612903226 & 3.05483870967742 \tabularnewline
308 & 4.3 & 17.1064516129032 & -12.8064516129032 \tabularnewline
309 & 40.2 & 15.441935483871 & 24.758064516129 \tabularnewline
310 & -29.3 & -22.0709677419355 & -7.22903225806452 \tabularnewline
311 & -0.2 & -2.46774193548388 & 2.26774193548388 \tabularnewline
312 & -95 & -74.3133333333333 & -20.6866666666667 \tabularnewline
313 & -13.2 & -9.89677419354837 & -3.30322580645163 \tabularnewline
314 & 38.5 & 22.2677419354839 & 16.2322580645161 \tabularnewline
315 & 45.4 & 38.9225806451613 & 6.4774193548387 \tabularnewline
316 & 15.7 & 20.5387096774194 & -4.83870967741935 \tabularnewline
317 & -123.6 & -72.7258064516129 & -50.8741935483871 \tabularnewline
318 & 12 & 22.7709677419355 & -10.7709677419355 \tabularnewline
319 & 37.5 & 31.1451612903226 & 6.35483870967742 \tabularnewline
320 & -31.7 & 17.1064516129032 & -48.8064516129032 \tabularnewline
321 & 15.8 & 15.441935483871 & 0.358064516129034 \tabularnewline
322 & -64.1 & -22.0709677419355 & -42.0290322580645 \tabularnewline
323 & -42.1 & -2.46774193548387 & -39.6322580645161 \tabularnewline
324 & -207.4 & -74.3133333333333 & -133.086666666667 \tabularnewline
325 & -12.9 & -9.89677419354837 & -3.00322580645163 \tabularnewline
326 & -5 & 22.2677419354839 & -27.2677419354839 \tabularnewline
327 & 53.9 & 38.9225806451613 & 14.9774193548387 \tabularnewline
328 & 19.7 & 20.5387096774194 & -0.838709677419355 \tabularnewline
329 & -94.6 & -72.7258064516129 & -21.8741935483871 \tabularnewline
330 & 36 & 22.7709677419355 & 13.2290322580645 \tabularnewline
331 & 51.3 & 31.1451612903226 & 20.1548387096774 \tabularnewline
332 & 17.4 & 17.1064516129032 & 0.293548387096777 \tabularnewline
333 & 27.8 & 15.441935483871 & 12.358064516129 \tabularnewline
334 & 1.3 & -22.0709677419355 & 23.3709677419355 \tabularnewline
335 & 3.6 & -2.46774193548387 & 6.06774193548387 \tabularnewline
336 & -97.9 & -74.3133333333333 & -23.5866666666667 \tabularnewline
337 & 14.1 & -9.89677419354838 & 23.9967741935484 \tabularnewline
338 & 50.8 & 22.2677419354839 & 28.5322580645161 \tabularnewline
339 & 63.5 & 38.9225806451613 & 24.5774193548387 \tabularnewline
340 & 58.6 & 20.5387096774193 & 38.0612903225807 \tabularnewline
341 & -135.1 & -72.7258064516129 & -62.3741935483871 \tabularnewline
342 & 7.8 & 22.7709677419355 & -14.9709677419355 \tabularnewline
343 & 25.5 & 31.1451612903226 & -5.64516129032258 \tabularnewline
344 & 29.6 & 17.1064516129032 & 12.4935483870968 \tabularnewline
345 & 19.3 & 15.441935483871 & 3.85806451612903 \tabularnewline
346 & -26.2 & -22.0709677419355 & -4.12903225806451 \tabularnewline
347 & 7.3 & -2.46774193548388 & 9.76774193548388 \tabularnewline
348 & -82.6 & -74.3133333333333 & -8.28666666666664 \tabularnewline
349 & -26.1 & -9.89677419354837 & -16.2032258064516 \tabularnewline
350 & 55.3 & 22.2677419354839 & 33.0322580645161 \tabularnewline
351 & 98.8 & 38.9225806451613 & 59.8774193548387 \tabularnewline
352 & 41.7 & 20.5387096774194 & 21.1612903225806 \tabularnewline
353 & -130.2 & -72.725806451613 & -57.4741935483871 \tabularnewline
354 & 51.2 & 22.7709677419355 & 28.4290322580645 \tabularnewline
355 & 18.4 & 31.1451612903226 & -12.7451612903226 \tabularnewline
356 & 32 & 17.1064516129032 & 14.8935483870968 \tabularnewline
357 & 21.6 & 15.441935483871 & 6.15806451612904 \tabularnewline
358 & -12.5 & -22.0709677419355 & 9.57096774193549 \tabularnewline
359 & 46.6 & -2.46774193548387 & 49.0677419354839 \tabularnewline
360 & -101.7 & -74.3133333333333 & -27.3866666666667 \tabularnewline
361 & 15.8 & -9.89677419354838 & 25.6967741935484 \tabularnewline
362 & 26 & 22.2677419354839 & 3.73225806451613 \tabularnewline
363 & 79.1 & 38.9225806451613 & 40.1774193548387 \tabularnewline
364 & 23.1 & 20.5387096774194 & 2.56129032258065 \tabularnewline
365 & -86.9 & -72.7258064516129 & -14.1741935483871 \tabularnewline
366 & -11.2 & 22.7709677419355 & -33.9709677419355 \tabularnewline
367 & 50.7 & 31.1451612903226 & 19.5548387096774 \tabularnewline
368 & 13.4 & 17.1064516129032 & -3.70645161290322 \tabularnewline
369 & 33.7 & 15.441935483871 & 18.258064516129 \tabularnewline
370 & -16.9 & -22.0709677419355 & 5.17096774193548 \tabularnewline
371 & -9.6 & -2.46774193548387 & -7.13225806451613 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=147076&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]-45.6[/C][C]-9.89677419354892[/C][C]-35.7032258064511[/C][/ROW]
[ROW][C]2[/C][C]16.1[/C][C]22.2677419354838[/C][C]-6.16774193548377[/C][/ROW]
[ROW][C]3[/C][C]23.9[/C][C]38.9225806451612[/C][C]-15.0225806451612[/C][/ROW]
[ROW][C]4[/C][C]39.3[/C][C]20.5387096774194[/C][C]18.7612903225806[/C][/ROW]
[ROW][C]5[/C][C]-39.4[/C][C]-72.7258064516129[/C][C]33.3258064516129[/C][/ROW]
[ROW][C]6[/C][C]-0.3[/C][C]22.7709677419355[/C][C]-23.0709677419355[/C][/ROW]
[ROW][C]7[/C][C]17.3[/C][C]31.1451612903226[/C][C]-13.8451612903226[/C][/ROW]
[ROW][C]8[/C][C]17.7[/C][C]17.1064516129034[/C][C]0.593548387096631[/C][/ROW]
[ROW][C]9[/C][C]31.4[/C][C]15.4419354838709[/C][C]15.9580645161291[/C][/ROW]
[ROW][C]10[/C][C]-28.6[/C][C]-22.0709677419354[/C][C]-6.52903225806457[/C][/ROW]
[ROW][C]11[/C][C]-17.2[/C][C]-2.46774193548382[/C][C]-14.7322580645162[/C][/ROW]
[ROW][C]12[/C][C]-79[/C][C]-74.3133333333333[/C][C]-4.68666666666673[/C][/ROW]
[ROW][C]13[/C][C]-47.9[/C][C]-9.89677419354836[/C][C]-38.0032258064516[/C][/ROW]
[ROW][C]14[/C][C]9.1[/C][C]22.2677419354839[/C][C]-13.1677419354839[/C][/ROW]
[ROW][C]15[/C][C]10.6[/C][C]38.9225806451613[/C][C]-28.3225806451613[/C][/ROW]
[ROW][C]16[/C][C]-23.9[/C][C]20.5387096774193[/C][C]-44.4387096774193[/C][/ROW]
[ROW][C]17[/C][C]-45[/C][C]-72.7258064516129[/C][C]27.7258064516129[/C][/ROW]
[ROW][C]18[/C][C]-42.2[/C][C]22.7709677419355[/C][C]-64.9709677419355[/C][/ROW]
[ROW][C]19[/C][C]43.2[/C][C]31.1451612903226[/C][C]12.0548387096774[/C][/ROW]
[ROW][C]20[/C][C]32.1[/C][C]17.1064516129032[/C][C]14.9935483870968[/C][/ROW]
[ROW][C]21[/C][C]-15.3[/C][C]15.441935483871[/C][C]-30.741935483871[/C][/ROW]
[ROW][C]22[/C][C]21.8[/C][C]-22.0709677419355[/C][C]43.8709677419355[/C][/ROW]
[ROW][C]23[/C][C]-12[/C][C]-2.46774193548387[/C][C]-9.53225806451613[/C][/ROW]
[ROW][C]24[/C][C]-95.8[/C][C]-74.3133333333333[/C][C]-21.4866666666667[/C][/ROW]
[ROW][C]25[/C][C]-14.3[/C][C]-9.89677419354837[/C][C]-4.40322580645163[/C][/ROW]
[ROW][C]26[/C][C]47.8[/C][C]22.2677419354839[/C][C]25.5322580645161[/C][/ROW]
[ROW][C]27[/C][C]64.8[/C][C]38.9225806451613[/C][C]25.8774193548387[/C][/ROW]
[ROW][C]28[/C][C]40.2[/C][C]20.5387096774194[/C][C]19.6612903225806[/C][/ROW]
[ROW][C]29[/C][C]-28.8[/C][C]-72.7258064516129[/C][C]43.9258064516129[/C][/ROW]
[ROW][C]30[/C][C]23.5[/C][C]22.7709677419355[/C][C]0.729032258064517[/C][/ROW]
[ROW][C]31[/C][C]70.3[/C][C]31.1451612903226[/C][C]39.1548387096774[/C][/ROW]
[ROW][C]32[/C][C]12.3[/C][C]17.1064516129032[/C][C]-4.80645161290322[/C][/ROW]
[ROW][C]33[/C][C]43.5[/C][C]15.441935483871[/C][C]28.058064516129[/C][/ROW]
[ROW][C]34[/C][C]-30.1[/C][C]-22.0709677419355[/C][C]-8.02903225806452[/C][/ROW]
[ROW][C]35[/C][C]-5.3[/C][C]-2.46774193548388[/C][C]-2.83225806451612[/C][/ROW]
[ROW][C]36[/C][C]-24[/C][C]-74.3133333333333[/C][C]50.3133333333333[/C][/ROW]
[ROW][C]37[/C][C]11.1[/C][C]-9.89677419354838[/C][C]20.9967741935484[/C][/ROW]
[ROW][C]38[/C][C]21.5[/C][C]22.2677419354839[/C][C]-0.767741935483872[/C][/ROW]
[ROW][C]39[/C][C]38.5[/C][C]38.9225806451613[/C][C]-0.42258064516129[/C][/ROW]
[ROW][C]40[/C][C]16.8[/C][C]20.5387096774194[/C][C]-3.73870967741935[/C][/ROW]
[ROW][C]41[/C][C]-36.2[/C][C]-72.7258064516129[/C][C]36.5258064516129[/C][/ROW]
[ROW][C]42[/C][C]6[/C][C]22.7709677419355[/C][C]-16.7709677419355[/C][/ROW]
[ROW][C]43[/C][C]26.6[/C][C]31.1451612903226[/C][C]-4.54516129032258[/C][/ROW]
[ROW][C]44[/C][C]-8[/C][C]17.1064516129032[/C][C]-25.1064516129032[/C][/ROW]
[ROW][C]45[/C][C]13.2[/C][C]15.441935483871[/C][C]-2.24193548387097[/C][/ROW]
[ROW][C]46[/C][C]-23.6[/C][C]-22.0709677419355[/C][C]-1.52903225806452[/C][/ROW]
[ROW][C]47[/C][C]19.4[/C][C]-2.46774193548388[/C][C]21.8677419354839[/C][/ROW]
[ROW][C]48[/C][C]-46.2[/C][C]-74.3133333333333[/C][C]28.1133333333333[/C][/ROW]
[ROW][C]49[/C][C]-8.2[/C][C]-9.89677419354837[/C][C]1.69677419354837[/C][/ROW]
[ROW][C]50[/C][C]33.8[/C][C]22.2677419354839[/C][C]11.5322580645161[/C][/ROW]
[ROW][C]51[/C][C]16.6[/C][C]38.9225806451613[/C][C]-22.3225806451613[/C][/ROW]
[ROW][C]52[/C][C]5.4[/C][C]20.5387096774194[/C][C]-15.1387096774194[/C][/ROW]
[ROW][C]53[/C][C]-25[/C][C]-72.7258064516129[/C][C]47.7258064516129[/C][/ROW]
[ROW][C]54[/C][C]-5.3[/C][C]22.7709677419355[/C][C]-28.0709677419355[/C][/ROW]
[ROW][C]55[/C][C]16.7[/C][C]31.1451612903226[/C][C]-14.4451612903226[/C][/ROW]
[ROW][C]56[/C][C]19[/C][C]17.1064516129032[/C][C]1.89354838709678[/C][/ROW]
[ROW][C]57[/C][C]24.8[/C][C]15.441935483871[/C][C]9.35806451612904[/C][/ROW]
[ROW][C]58[/C][C]-11.4[/C][C]-22.0709677419355[/C][C]10.6709677419355[/C][/ROW]
[ROW][C]59[/C][C]4.9[/C][C]-2.46774193548388[/C][C]7.36774193548388[/C][/ROW]
[ROW][C]60[/C][C]-58.7[/C][C]-74.3133333333333[/C][C]15.6133333333333[/C][/ROW]
[ROW][C]61[/C][C]16.8[/C][C]-9.89677419354838[/C][C]26.6967741935484[/C][/ROW]
[ROW][C]62[/C][C]13.6[/C][C]22.2677419354839[/C][C]-8.66774193548388[/C][/ROW]
[ROW][C]63[/C][C]6.4[/C][C]38.9225806451613[/C][C]-32.5225806451613[/C][/ROW]
[ROW][C]64[/C][C]22.8[/C][C]20.5387096774194[/C][C]2.26129032258065[/C][/ROW]
[ROW][C]65[/C][C]-19.6[/C][C]-72.7258064516129[/C][C]53.1258064516129[/C][/ROW]
[ROW][C]66[/C][C]2.2[/C][C]22.7709677419355[/C][C]-20.5709677419355[/C][/ROW]
[ROW][C]67[/C][C]19.8[/C][C]31.1451612903226[/C][C]-11.3451612903226[/C][/ROW]
[ROW][C]68[/C][C]-10.7[/C][C]17.1064516129032[/C][C]-27.8064516129032[/C][/ROW]
[ROW][C]69[/C][C]4.7[/C][C]15.441935483871[/C][C]-10.741935483871[/C][/ROW]
[ROW][C]70[/C][C]-44.5[/C][C]-22.0709677419355[/C][C]-22.4290322580645[/C][/ROW]
[ROW][C]71[/C][C]-34.7[/C][C]-2.46774193548386[/C][C]-32.2322580645161[/C][/ROW]
[ROW][C]72[/C][C]-119.7[/C][C]-74.3133333333333[/C][C]-45.3866666666667[/C][/ROW]
[ROW][C]73[/C][C]-42.2[/C][C]-9.89677419354837[/C][C]-32.3032258064516[/C][/ROW]
[ROW][C]74[/C][C]-5.4[/C][C]22.2677419354839[/C][C]-27.6677419354839[/C][/ROW]
[ROW][C]75[/C][C]19.1[/C][C]38.9225806451613[/C][C]-19.8225806451613[/C][/ROW]
[ROW][C]76[/C][C]18.8[/C][C]20.5387096774194[/C][C]-1.73870967741935[/C][/ROW]
[ROW][C]77[/C][C]-2.3[/C][C]-72.7258064516129[/C][C]70.4258064516129[/C][/ROW]
[ROW][C]78[/C][C]0.2[/C][C]22.7709677419355[/C][C]-22.5709677419355[/C][/ROW]
[ROW][C]79[/C][C]20.9[/C][C]31.1451612903226[/C][C]-10.2451612903226[/C][/ROW]
[ROW][C]80[/C][C]3.7[/C][C]17.1064516129032[/C][C]-13.4064516129032[/C][/ROW]
[ROW][C]81[/C][C]50.4[/C][C]15.441935483871[/C][C]34.958064516129[/C][/ROW]
[ROW][C]82[/C][C]-18.6[/C][C]-22.0709677419355[/C][C]3.47096774193548[/C][/ROW]
[ROW][C]83[/C][C]10.6[/C][C]-2.46774193548388[/C][C]13.0677419354839[/C][/ROW]
[ROW][C]84[/C][C]-66[/C][C]-74.3133333333333[/C][C]8.31333333333335[/C][/ROW]
[ROW][C]85[/C][C]10[/C][C]-9.89677419354837[/C][C]19.8967741935484[/C][/ROW]
[ROW][C]86[/C][C]27.2[/C][C]22.2677419354839[/C][C]4.93225806451613[/C][/ROW]
[ROW][C]87[/C][C]13.5[/C][C]38.9225806451613[/C][C]-25.4225806451613[/C][/ROW]
[ROW][C]88[/C][C]47.2[/C][C]20.5387096774193[/C][C]26.6612903225807[/C][/ROW]
[ROW][C]89[/C][C]-20.3[/C][C]-72.7258064516129[/C][C]52.4258064516129[/C][/ROW]
[ROW][C]90[/C][C]23.1[/C][C]22.7709677419355[/C][C]0.329032258064518[/C][/ROW]
[ROW][C]91[/C][C]12.6[/C][C]31.1451612903226[/C][C]-18.5451612903226[/C][/ROW]
[ROW][C]92[/C][C]19.8[/C][C]17.1064516129032[/C][C]2.69354838709678[/C][/ROW]
[ROW][C]93[/C][C]5.4[/C][C]15.441935483871[/C][C]-10.041935483871[/C][/ROW]
[ROW][C]94[/C][C]-25.2[/C][C]-22.0709677419355[/C][C]-3.12903225806451[/C][/ROW]
[ROW][C]95[/C][C]-6.5[/C][C]-2.46774193548387[/C][C]-4.03225806451613[/C][/ROW]
[ROW][C]96[/C][C]-46.5[/C][C]-74.3133333333333[/C][C]27.8133333333333[/C][/ROW]
[ROW][C]97[/C][C]-2.6[/C][C]-9.89677419354837[/C][C]7.29677419354837[/C][/ROW]
[ROW][C]98[/C][C]-0.3[/C][C]22.2677419354839[/C][C]-22.5677419354839[/C][/ROW]
[ROW][C]99[/C][C]38.5[/C][C]38.9225806451613[/C][C]-0.42258064516129[/C][/ROW]
[ROW][C]100[/C][C]-8.9[/C][C]20.5387096774194[/C][C]-29.4387096774194[/C][/ROW]
[ROW][C]101[/C][C]-38[/C][C]-72.7258064516129[/C][C]34.7258064516129[/C][/ROW]
[ROW][C]102[/C][C]19.5[/C][C]22.7709677419355[/C][C]-3.27096774193548[/C][/ROW]
[ROW][C]103[/C][C]51.7[/C][C]31.1451612903226[/C][C]20.5548387096774[/C][/ROW]
[ROW][C]104[/C][C]19.4[/C][C]17.1064516129032[/C][C]2.29354838709678[/C][/ROW]
[ROW][C]105[/C][C]18.2[/C][C]15.441935483871[/C][C]2.75806451612903[/C][/ROW]
[ROW][C]106[/C][C]-50.8[/C][C]-22.0709677419355[/C][C]-28.7290322580645[/C][/ROW]
[ROW][C]107[/C][C]-6.1[/C][C]-2.46774193548387[/C][C]-3.63225806451613[/C][/ROW]
[ROW][C]108[/C][C]-54.6[/C][C]-74.3133333333333[/C][C]19.7133333333333[/C][/ROW]
[ROW][C]109[/C][C]12.1[/C][C]-9.89677419354838[/C][C]21.9967741935484[/C][/ROW]
[ROW][C]110[/C][C]26.3[/C][C]22.2677419354839[/C][C]4.03225806451613[/C][/ROW]
[ROW][C]111[/C][C]19.5[/C][C]38.9225806451613[/C][C]-19.4225806451613[/C][/ROW]
[ROW][C]112[/C][C]-0.8[/C][C]20.5387096774194[/C][C]-21.3387096774194[/C][/ROW]
[ROW][C]113[/C][C]-49.6[/C][C]-72.7258064516129[/C][C]23.1258064516129[/C][/ROW]
[ROW][C]114[/C][C]28.8[/C][C]22.7709677419355[/C][C]6.02903225806451[/C][/ROW]
[ROW][C]115[/C][C]31.7[/C][C]31.1451612903226[/C][C]0.554838709677425[/C][/ROW]
[ROW][C]116[/C][C]2.3[/C][C]17.1064516129032[/C][C]-14.8064516129032[/C][/ROW]
[ROW][C]117[/C][C]3.8[/C][C]15.441935483871[/C][C]-11.641935483871[/C][/ROW]
[ROW][C]118[/C][C]-66.2[/C][C]-22.0709677419355[/C][C]-44.1290322580645[/C][/ROW]
[ROW][C]119[/C][C]-20.5[/C][C]-2.46774193548387[/C][C]-18.0322580645161[/C][/ROW]
[ROW][C]120[/C][C]-113.2[/C][C]-74.3133333333333[/C][C]-38.8866666666667[/C][/ROW]
[ROW][C]121[/C][C]-65.2[/C][C]-9.89677419354836[/C][C]-55.3032258064516[/C][/ROW]
[ROW][C]122[/C][C]-3.9[/C][C]22.2677419354839[/C][C]-26.1677419354839[/C][/ROW]
[ROW][C]123[/C][C]9.1[/C][C]38.9225806451613[/C][C]-29.8225806451613[/C][/ROW]
[ROW][C]124[/C][C]23.2[/C][C]20.5387096774194[/C][C]2.66129032258065[/C][/ROW]
[ROW][C]125[/C][C]-39.1[/C][C]-72.7258064516129[/C][C]33.6258064516129[/C][/ROW]
[ROW][C]126[/C][C]12.5[/C][C]22.7709677419355[/C][C]-10.2709677419355[/C][/ROW]
[ROW][C]127[/C][C]49.1[/C][C]31.1451612903226[/C][C]17.9548387096774[/C][/ROW]
[ROW][C]128[/C][C]54.9[/C][C]17.1064516129032[/C][C]37.7935483870968[/C][/ROW]
[ROW][C]129[/C][C]30.8[/C][C]15.441935483871[/C][C]15.358064516129[/C][/ROW]
[ROW][C]130[/C][C]-3.5[/C][C]-22.0709677419355[/C][C]18.5709677419355[/C][/ROW]
[ROW][C]131[/C][C]-28.3[/C][C]-2.46774193548386[/C][C]-25.8322580645161[/C][/ROW]
[ROW][C]132[/C][C]-61[/C][C]-74.3133333333333[/C][C]13.3133333333333[/C][/ROW]
[ROW][C]133[/C][C]-2[/C][C]-9.89677419354837[/C][C]7.89677419354837[/C][/ROW]
[ROW][C]134[/C][C]40[/C][C]22.2677419354839[/C][C]17.7322580645161[/C][/ROW]
[ROW][C]135[/C][C]74[/C][C]38.9225806451613[/C][C]35.0774193548387[/C][/ROW]
[ROW][C]136[/C][C]23.1[/C][C]20.5387096774194[/C][C]2.56129032258065[/C][/ROW]
[ROW][C]137[/C][C]-45.3[/C][C]-72.7258064516129[/C][C]27.4258064516129[/C][/ROW]
[ROW][C]138[/C][C]17.5[/C][C]22.7709677419355[/C][C]-5.27096774193548[/C][/ROW]
[ROW][C]139[/C][C]25.8[/C][C]31.1451612903226[/C][C]-5.34516129032258[/C][/ROW]
[ROW][C]140[/C][C]15.2[/C][C]17.1064516129032[/C][C]-1.90645161290322[/C][/ROW]
[ROW][C]141[/C][C]-3.6[/C][C]15.441935483871[/C][C]-19.041935483871[/C][/ROW]
[ROW][C]142[/C][C]-40.5[/C][C]-22.0709677419355[/C][C]-18.4290322580645[/C][/ROW]
[ROW][C]143[/C][C]11.5[/C][C]-2.46774193548388[/C][C]13.9677419354839[/C][/ROW]
[ROW][C]144[/C][C]-59.8[/C][C]-74.3133333333333[/C][C]14.5133333333333[/C][/ROW]
[ROW][C]145[/C][C]23.3[/C][C]-9.89677419354836[/C][C]33.1967741935484[/C][/ROW]
[ROW][C]146[/C][C]-27.8[/C][C]22.2677419354839[/C][C]-50.0677419354839[/C][/ROW]
[ROW][C]147[/C][C]55.7[/C][C]38.9225806451613[/C][C]16.7774193548387[/C][/ROW]
[ROW][C]148[/C][C]22.7[/C][C]20.5387096774194[/C][C]2.16129032258065[/C][/ROW]
[ROW][C]149[/C][C]-79.2[/C][C]-72.7258064516129[/C][C]-6.4741935483871[/C][/ROW]
[ROW][C]150[/C][C]28.8[/C][C]22.7709677419355[/C][C]6.02903225806451[/C][/ROW]
[ROW][C]151[/C][C]17.3[/C][C]31.1451612903226[/C][C]-13.8451612903226[/C][/ROW]
[ROW][C]152[/C][C]39.6[/C][C]17.1064516129032[/C][C]22.4935483870968[/C][/ROW]
[ROW][C]153[/C][C]-22.2[/C][C]15.441935483871[/C][C]-37.641935483871[/C][/ROW]
[ROW][C]154[/C][C]-43[/C][C]-22.0709677419355[/C][C]-20.9290322580645[/C][/ROW]
[ROW][C]155[/C][C]-50.3[/C][C]-2.46774193548387[/C][C]-47.8322580645161[/C][/ROW]
[ROW][C]156[/C][C]-86.5[/C][C]-74.3133333333334[/C][C]-12.1866666666666[/C][/ROW]
[ROW][C]157[/C][C]-31.9[/C][C]-9.89677419354838[/C][C]-22.0032258064516[/C][/ROW]
[ROW][C]158[/C][C]23.1[/C][C]22.2677419354839[/C][C]0.83225806451613[/C][/ROW]
[ROW][C]159[/C][C]53.6[/C][C]38.9225806451613[/C][C]14.6774193548387[/C][/ROW]
[ROW][C]160[/C][C]21.6[/C][C]20.5387096774194[/C][C]1.06129032258065[/C][/ROW]
[ROW][C]161[/C][C]-64.2[/C][C]-72.7258064516129[/C][C]8.5258064516129[/C][/ROW]
[ROW][C]162[/C][C]35.2[/C][C]22.7709677419355[/C][C]12.4290322580645[/C][/ROW]
[ROW][C]163[/C][C]52.1[/C][C]31.1451612903226[/C][C]20.9548387096774[/C][/ROW]
[ROW][C]164[/C][C]40.6[/C][C]17.1064516129032[/C][C]23.4935483870968[/C][/ROW]
[ROW][C]165[/C][C]17.1[/C][C]15.441935483871[/C][C]1.65806451612903[/C][/ROW]
[ROW][C]166[/C][C]-7.8[/C][C]-22.0709677419355[/C][C]14.2709677419355[/C][/ROW]
[ROW][C]167[/C][C]-10[/C][C]-2.46774193548387[/C][C]-7.53225806451613[/C][/ROW]
[ROW][C]168[/C][C]-58[/C][C]-74.3133333333333[/C][C]16.3133333333333[/C][/ROW]
[ROW][C]169[/C][C]14[/C][C]-9.89677419354838[/C][C]23.8967741935484[/C][/ROW]
[ROW][C]170[/C][C]15.8[/C][C]22.2677419354839[/C][C]-6.46774193548387[/C][/ROW]
[ROW][C]171[/C][C]46[/C][C]38.9225806451613[/C][C]7.0774193548387[/C][/ROW]
[ROW][C]172[/C][C]-8.9[/C][C]20.5387096774194[/C][C]-29.4387096774194[/C][/ROW]
[ROW][C]173[/C][C]-26.7[/C][C]-72.7258064516129[/C][C]46.0258064516129[/C][/ROW]
[ROW][C]174[/C][C]39[/C][C]22.7709677419355[/C][C]16.2290322580645[/C][/ROW]
[ROW][C]175[/C][C]-1.3[/C][C]31.1451612903226[/C][C]-32.4451612903226[/C][/ROW]
[ROW][C]176[/C][C]38.7[/C][C]17.1064516129032[/C][C]21.5935483870968[/C][/ROW]
[ROW][C]177[/C][C]22.1[/C][C]15.441935483871[/C][C]6.65806451612904[/C][/ROW]
[ROW][C]178[/C][C]-49.2[/C][C]-22.0709677419355[/C][C]-27.1290322580645[/C][/ROW]
[ROW][C]179[/C][C]-3.4[/C][C]-2.46774193548387[/C][C]-0.932258064516125[/C][/ROW]
[ROW][C]180[/C][C]-86.7[/C][C]-74.3133333333334[/C][C]-12.3866666666666[/C][/ROW]
[ROW][C]181[/C][C]-24.3[/C][C]-9.89677419354837[/C][C]-14.4032258064516[/C][/ROW]
[ROW][C]182[/C][C]42.8[/C][C]22.2677419354839[/C][C]20.5322580645161[/C][/ROW]
[ROW][C]183[/C][C]44.9[/C][C]38.9225806451613[/C][C]5.97741935483871[/C][/ROW]
[ROW][C]184[/C][C]4.4[/C][C]20.5387096774193[/C][C]-16.1387096774193[/C][/ROW]
[ROW][C]185[/C][C]-60.5[/C][C]-72.7258064516129[/C][C]12.2258064516129[/C][/ROW]
[ROW][C]186[/C][C]41.4[/C][C]22.7709677419355[/C][C]18.6290322580645[/C][/ROW]
[ROW][C]187[/C][C]38.5[/C][C]31.1451612903226[/C][C]7.35483870967743[/C][/ROW]
[ROW][C]188[/C][C]28.5[/C][C]17.1064516129032[/C][C]11.3935483870968[/C][/ROW]
[ROW][C]189[/C][C]7.6[/C][C]15.441935483871[/C][C]-7.84193548387097[/C][/ROW]
[ROW][C]190[/C][C]-46.4[/C][C]-22.0709677419355[/C][C]-24.3290322580645[/C][/ROW]
[ROW][C]191[/C][C]7[/C][C]-2.46774193548388[/C][C]9.46774193548388[/C][/ROW]
[ROW][C]192[/C][C]-73[/C][C]-74.3133333333334[/C][C]1.31333333333335[/C][/ROW]
[ROW][C]193[/C][C]5.7[/C][C]-9.89677419354837[/C][C]15.5967741935484[/C][/ROW]
[ROW][C]194[/C][C]23.6[/C][C]22.2677419354839[/C][C]1.33225806451613[/C][/ROW]
[ROW][C]195[/C][C]39.4[/C][C]38.9225806451613[/C][C]0.477419354838709[/C][/ROW]
[ROW][C]196[/C][C]30.3[/C][C]20.5387096774194[/C][C]9.76129032258064[/C][/ROW]
[ROW][C]197[/C][C]-92.5[/C][C]-72.7258064516129[/C][C]-19.7741935483871[/C][/ROW]
[ROW][C]198[/C][C]77.8[/C][C]22.7709677419355[/C][C]55.0290322580645[/C][/ROW]
[ROW][C]199[/C][C]12.4[/C][C]31.1451612903226[/C][C]-18.7451612903226[/C][/ROW]
[ROW][C]200[/C][C]28.9[/C][C]17.1064516129032[/C][C]11.7935483870968[/C][/ROW]
[ROW][C]201[/C][C]6.4[/C][C]15.441935483871[/C][C]-9.04193548387097[/C][/ROW]
[ROW][C]202[/C][C]-12[/C][C]-22.0709677419355[/C][C]10.0709677419355[/C][/ROW]
[ROW][C]203[/C][C]-9.1[/C][C]-2.46774193548387[/C][C]-6.63225806451613[/C][/ROW]
[ROW][C]204[/C][C]-53.2[/C][C]-74.3133333333333[/C][C]21.1133333333333[/C][/ROW]
[ROW][C]205[/C][C]-23.1[/C][C]-9.89677419354837[/C][C]-13.2032258064516[/C][/ROW]
[ROW][C]206[/C][C]47.3[/C][C]22.2677419354839[/C][C]25.0322580645161[/C][/ROW]
[ROW][C]207[/C][C]20.7[/C][C]38.9225806451613[/C][C]-18.2225806451613[/C][/ROW]
[ROW][C]208[/C][C]27.8[/C][C]20.5387096774194[/C][C]7.26129032258065[/C][/ROW]
[ROW][C]209[/C][C]-84.3[/C][C]-72.7258064516129[/C][C]-11.5741935483871[/C][/ROW]
[ROW][C]210[/C][C]62.8[/C][C]22.7709677419355[/C][C]40.0290322580645[/C][/ROW]
[ROW][C]211[/C][C]26.4[/C][C]31.1451612903226[/C][C]-4.74516129032258[/C][/ROW]
[ROW][C]212[/C][C]32.3[/C][C]17.1064516129032[/C][C]15.1935483870968[/C][/ROW]
[ROW][C]213[/C][C]13.3[/C][C]15.441935483871[/C][C]-2.14193548387097[/C][/ROW]
[ROW][C]214[/C][C]-17.9[/C][C]-22.0709677419355[/C][C]4.17096774193549[/C][/ROW]
[ROW][C]215[/C][C]10[/C][C]-2.46774193548388[/C][C]12.4677419354839[/C][/ROW]
[ROW][C]216[/C][C]-45.6[/C][C]-74.3133333333333[/C][C]28.7133333333333[/C][/ROW]
[ROW][C]217[/C][C]13.5[/C][C]-9.89677419354838[/C][C]23.3967741935484[/C][/ROW]
[ROW][C]218[/C][C]11.9[/C][C]22.2677419354839[/C][C]-10.3677419354839[/C][/ROW]
[ROW][C]219[/C][C]26[/C][C]38.9225806451613[/C][C]-12.9225806451613[/C][/ROW]
[ROW][C]220[/C][C]-6.3[/C][C]20.5387096774194[/C][C]-26.8387096774194[/C][/ROW]
[ROW][C]221[/C][C]-79.9[/C][C]-72.7258064516129[/C][C]-7.1741935483871[/C][/ROW]
[ROW][C]222[/C][C]54.2[/C][C]22.7709677419355[/C][C]31.4290322580645[/C][/ROW]
[ROW][C]223[/C][C]22.9[/C][C]31.1451612903226[/C][C]-8.24516129032259[/C][/ROW]
[ROW][C]224[/C][C]31.8[/C][C]17.1064516129032[/C][C]14.6935483870968[/C][/ROW]
[ROW][C]225[/C][C]3.8[/C][C]15.441935483871[/C][C]-11.641935483871[/C][/ROW]
[ROW][C]226[/C][C]-11.4[/C][C]-22.0709677419355[/C][C]10.6709677419355[/C][/ROW]
[ROW][C]227[/C][C]-8.6[/C][C]-2.46774193548387[/C][C]-6.13225806451613[/C][/ROW]
[ROW][C]228[/C][C]-49.4[/C][C]-74.3133333333333[/C][C]24.9133333333333[/C][/ROW]
[ROW][C]229[/C][C]-2.5[/C][C]-9.89677419354837[/C][C]7.39677419354837[/C][/ROW]
[ROW][C]230[/C][C]23[/C][C]22.2677419354839[/C][C]0.732258064516128[/C][/ROW]
[ROW][C]231[/C][C]29[/C][C]38.9225806451613[/C][C]-9.9225806451613[/C][/ROW]
[ROW][C]232[/C][C]20.6[/C][C]20.5387096774194[/C][C]0.0612903225806472[/C][/ROW]
[ROW][C]233[/C][C]-117[/C][C]-72.7258064516129[/C][C]-44.2741935483871[/C][/ROW]
[ROW][C]234[/C][C]37.9[/C][C]22.7709677419355[/C][C]15.1290322580645[/C][/ROW]
[ROW][C]235[/C][C]30.7[/C][C]31.1451612903226[/C][C]-0.445161290322575[/C][/ROW]
[ROW][C]236[/C][C]4.7[/C][C]17.1064516129032[/C][C]-12.4064516129032[/C][/ROW]
[ROW][C]237[/C][C]-5.7[/C][C]15.441935483871[/C][C]-21.141935483871[/C][/ROW]
[ROW][C]238[/C][C]4.9[/C][C]-22.0709677419355[/C][C]26.9709677419355[/C][/ROW]
[ROW][C]239[/C][C]18.3[/C][C]-2.46774193548387[/C][C]20.7677419354839[/C][/ROW]
[ROW][C]240[/C][C]-35.4[/C][C]-74.3133333333333[/C][C]38.9133333333333[/C][/ROW]
[ROW][C]241[/C][C]-21.3[/C][C]-9.89677419354837[/C][C]-11.4032258064516[/C][/ROW]
[ROW][C]242[/C][C]35.8[/C][C]22.2677419354839[/C][C]13.5322580645161[/C][/ROW]
[ROW][C]243[/C][C]43.8[/C][C]38.9225806451613[/C][C]4.8774193548387[/C][/ROW]
[ROW][C]244[/C][C]18.7[/C][C]20.5387096774194[/C][C]-1.83870967741935[/C][/ROW]
[ROW][C]245[/C][C]-131.1[/C][C]-72.725806451613[/C][C]-58.3741935483871[/C][/ROW]
[ROW][C]246[/C][C]39.8[/C][C]22.7709677419355[/C][C]17.0290322580645[/C][/ROW]
[ROW][C]247[/C][C]44.5[/C][C]31.1451612903226[/C][C]13.3548387096774[/C][/ROW]
[ROW][C]248[/C][C]16.5[/C][C]17.1064516129032[/C][C]-0.606451612903222[/C][/ROW]
[ROW][C]249[/C][C]9.7[/C][C]15.441935483871[/C][C]-5.74193548387097[/C][/ROW]
[ROW][C]250[/C][C]-6.6[/C][C]-22.0709677419355[/C][C]15.4709677419355[/C][/ROW]
[ROW][C]251[/C][C]15.8[/C][C]-2.46774193548387[/C][C]18.2677419354839[/C][/ROW]
[ROW][C]252[/C][C]-45.7[/C][C]-74.3133333333333[/C][C]28.6133333333333[/C][/ROW]
[ROW][C]253[/C][C]-4.8[/C][C]-9.89677419354837[/C][C]5.09677419354837[/C][/ROW]
[ROW][C]254[/C][C]17.6[/C][C]22.2677419354839[/C][C]-4.66774193548387[/C][/ROW]
[ROW][C]255[/C][C]20.5[/C][C]38.9225806451613[/C][C]-18.4225806451613[/C][/ROW]
[ROW][C]256[/C][C]24.2[/C][C]20.5387096774194[/C][C]3.66129032258064[/C][/ROW]
[ROW][C]257[/C][C]-109[/C][C]-72.7258064516129[/C][C]-36.2741935483871[/C][/ROW]
[ROW][C]258[/C][C]20.8[/C][C]22.7709677419355[/C][C]-1.97096774193549[/C][/ROW]
[ROW][C]259[/C][C]31.2[/C][C]31.1451612903226[/C][C]0.0548387096774251[/C][/ROW]
[ROW][C]260[/C][C]-8.8[/C][C]17.1064516129032[/C][C]-25.9064516129032[/C][/ROW]
[ROW][C]261[/C][C]11.8[/C][C]15.441935483871[/C][C]-3.64193548387097[/C][/ROW]
[ROW][C]262[/C][C]13[/C][C]-22.0709677419355[/C][C]35.0709677419355[/C][/ROW]
[ROW][C]263[/C][C]8.3[/C][C]-2.46774193548388[/C][C]10.7677419354839[/C][/ROW]
[ROW][C]264[/C][C]-77.9[/C][C]-74.3133333333334[/C][C]-3.58666666666665[/C][/ROW]
[ROW][C]265[/C][C]-38.8[/C][C]-9.89677419354837[/C][C]-28.9032258064516[/C][/ROW]
[ROW][C]266[/C][C]6.1[/C][C]22.2677419354839[/C][C]-16.1677419354839[/C][/ROW]
[ROW][C]267[/C][C]18.1[/C][C]38.9225806451613[/C][C]-20.8225806451613[/C][/ROW]
[ROW][C]268[/C][C]16.8[/C][C]20.5387096774194[/C][C]-3.73870967741935[/C][/ROW]
[ROW][C]269[/C][C]-128.5[/C][C]-72.7258064516129[/C][C]-55.7741935483871[/C][/ROW]
[ROW][C]270[/C][C]15.9[/C][C]22.7709677419355[/C][C]-6.87096774193548[/C][/ROW]
[ROW][C]271[/C][C]29[/C][C]31.1451612903226[/C][C]-2.14516129032258[/C][/ROW]
[ROW][C]272[/C][C]-7.2[/C][C]17.1064516129032[/C][C]-24.3064516129032[/C][/ROW]
[ROW][C]273[/C][C]3.3[/C][C]15.441935483871[/C][C]-12.141935483871[/C][/ROW]
[ROW][C]274[/C][C]-34.8[/C][C]-22.0709677419355[/C][C]-12.7290322580645[/C][/ROW]
[ROW][C]275[/C][C]-2.9[/C][C]-2.46774193548387[/C][C]-0.432258064516126[/C][/ROW]
[ROW][C]276[/C][C]-77.8[/C][C]-74.3133333333334[/C][C]-3.48666666666664[/C][/ROW]
[ROW][C]277[/C][C]-2.8[/C][C]-9.89677419354837[/C][C]7.09677419354837[/C][/ROW]
[ROW][C]278[/C][C]26.7[/C][C]22.2677419354839[/C][C]4.43225806451613[/C][/ROW]
[ROW][C]279[/C][C]48.1[/C][C]38.9225806451613[/C][C]9.1774193548387[/C][/ROW]
[ROW][C]280[/C][C]30[/C][C]20.5387096774194[/C][C]9.46129032258064[/C][/ROW]
[ROW][C]281[/C][C]-109.6[/C][C]-72.7258064516129[/C][C]-36.8741935483871[/C][/ROW]
[ROW][C]282[/C][C]16[/C][C]22.7709677419355[/C][C]-6.77096774193548[/C][/ROW]
[ROW][C]283[/C][C]26.9[/C][C]31.1451612903226[/C][C]-4.24516129032258[/C][/ROW]
[ROW][C]284[/C][C]22.1[/C][C]17.1064516129032[/C][C]4.99354838709678[/C][/ROW]
[ROW][C]285[/C][C]27[/C][C]15.441935483871[/C][C]11.558064516129[/C][/ROW]
[ROW][C]286[/C][C]-24.5[/C][C]-22.0709677419355[/C][C]-2.42903225806451[/C][/ROW]
[ROW][C]287[/C][C]12[/C][C]-2.46774193548387[/C][C]14.4677419354839[/C][/ROW]
[ROW][C]288[/C][C]-75.2[/C][C]-74.3133333333334[/C][C]-0.886666666666649[/C][/ROW]
[ROW][C]289[/C][C]3.5[/C][C]-9.89677419354837[/C][C]13.3967741935484[/C][/ROW]
[ROW][C]290[/C][C]19.7[/C][C]22.2677419354839[/C][C]-2.56774193548387[/C][/ROW]
[ROW][C]291[/C][C]51.8[/C][C]38.9225806451613[/C][C]12.8774193548387[/C][/ROW]
[ROW][C]292[/C][C]35.3[/C][C]20.5387096774194[/C][C]14.7612903225806[/C][/ROW]
[ROW][C]293[/C][C]-108.2[/C][C]-72.7258064516129[/C][C]-35.4741935483871[/C][/ROW]
[ROW][C]294[/C][C]25.3[/C][C]22.7709677419355[/C][C]2.52903225806451[/C][/ROW]
[ROW][C]295[/C][C]31.6[/C][C]31.1451612903226[/C][C]0.454838709677424[/C][/ROW]
[ROW][C]296[/C][C]19.9[/C][C]17.1064516129032[/C][C]2.79354838709678[/C][/ROW]
[ROW][C]297[/C][C]18.8[/C][C]15.441935483871[/C][C]3.35806451612903[/C][/ROW]
[ROW][C]298[/C][C]20.4[/C][C]-22.0709677419355[/C][C]42.4709677419355[/C][/ROW]
[ROW][C]299[/C][C]15[/C][C]-2.46774193548387[/C][C]17.4677419354839[/C][/ROW]
[ROW][C]300[/C][C]-55.9[/C][C]-74.3133333333333[/C][C]18.4133333333333[/C][/ROW]
[ROW][C]301[/C][C]-17[/C][C]-9.89677419354837[/C][C]-7.10322580645163[/C][/ROW]
[ROW][C]302[/C][C]33.3[/C][C]22.2677419354839[/C][C]11.0322580645161[/C][/ROW]
[ROW][C]303[/C][C]33.8[/C][C]38.9225806451613[/C][C]-5.12258064516129[/C][/ROW]
[ROW][C]304[/C][C]37.5[/C][C]20.5387096774194[/C][C]16.9612903225806[/C][/ROW]
[ROW][C]305[/C][C]-104.8[/C][C]-72.7258064516129[/C][C]-32.0741935483871[/C][/ROW]
[ROW][C]306[/C][C]29.7[/C][C]22.7709677419355[/C][C]6.92903225806451[/C][/ROW]
[ROW][C]307[/C][C]34.2[/C][C]31.1451612903226[/C][C]3.05483870967742[/C][/ROW]
[ROW][C]308[/C][C]4.3[/C][C]17.1064516129032[/C][C]-12.8064516129032[/C][/ROW]
[ROW][C]309[/C][C]40.2[/C][C]15.441935483871[/C][C]24.758064516129[/C][/ROW]
[ROW][C]310[/C][C]-29.3[/C][C]-22.0709677419355[/C][C]-7.22903225806452[/C][/ROW]
[ROW][C]311[/C][C]-0.2[/C][C]-2.46774193548388[/C][C]2.26774193548388[/C][/ROW]
[ROW][C]312[/C][C]-95[/C][C]-74.3133333333333[/C][C]-20.6866666666667[/C][/ROW]
[ROW][C]313[/C][C]-13.2[/C][C]-9.89677419354837[/C][C]-3.30322580645163[/C][/ROW]
[ROW][C]314[/C][C]38.5[/C][C]22.2677419354839[/C][C]16.2322580645161[/C][/ROW]
[ROW][C]315[/C][C]45.4[/C][C]38.9225806451613[/C][C]6.4774193548387[/C][/ROW]
[ROW][C]316[/C][C]15.7[/C][C]20.5387096774194[/C][C]-4.83870967741935[/C][/ROW]
[ROW][C]317[/C][C]-123.6[/C][C]-72.7258064516129[/C][C]-50.8741935483871[/C][/ROW]
[ROW][C]318[/C][C]12[/C][C]22.7709677419355[/C][C]-10.7709677419355[/C][/ROW]
[ROW][C]319[/C][C]37.5[/C][C]31.1451612903226[/C][C]6.35483870967742[/C][/ROW]
[ROW][C]320[/C][C]-31.7[/C][C]17.1064516129032[/C][C]-48.8064516129032[/C][/ROW]
[ROW][C]321[/C][C]15.8[/C][C]15.441935483871[/C][C]0.358064516129034[/C][/ROW]
[ROW][C]322[/C][C]-64.1[/C][C]-22.0709677419355[/C][C]-42.0290322580645[/C][/ROW]
[ROW][C]323[/C][C]-42.1[/C][C]-2.46774193548387[/C][C]-39.6322580645161[/C][/ROW]
[ROW][C]324[/C][C]-207.4[/C][C]-74.3133333333333[/C][C]-133.086666666667[/C][/ROW]
[ROW][C]325[/C][C]-12.9[/C][C]-9.89677419354837[/C][C]-3.00322580645163[/C][/ROW]
[ROW][C]326[/C][C]-5[/C][C]22.2677419354839[/C][C]-27.2677419354839[/C][/ROW]
[ROW][C]327[/C][C]53.9[/C][C]38.9225806451613[/C][C]14.9774193548387[/C][/ROW]
[ROW][C]328[/C][C]19.7[/C][C]20.5387096774194[/C][C]-0.838709677419355[/C][/ROW]
[ROW][C]329[/C][C]-94.6[/C][C]-72.7258064516129[/C][C]-21.8741935483871[/C][/ROW]
[ROW][C]330[/C][C]36[/C][C]22.7709677419355[/C][C]13.2290322580645[/C][/ROW]
[ROW][C]331[/C][C]51.3[/C][C]31.1451612903226[/C][C]20.1548387096774[/C][/ROW]
[ROW][C]332[/C][C]17.4[/C][C]17.1064516129032[/C][C]0.293548387096777[/C][/ROW]
[ROW][C]333[/C][C]27.8[/C][C]15.441935483871[/C][C]12.358064516129[/C][/ROW]
[ROW][C]334[/C][C]1.3[/C][C]-22.0709677419355[/C][C]23.3709677419355[/C][/ROW]
[ROW][C]335[/C][C]3.6[/C][C]-2.46774193548387[/C][C]6.06774193548387[/C][/ROW]
[ROW][C]336[/C][C]-97.9[/C][C]-74.3133333333333[/C][C]-23.5866666666667[/C][/ROW]
[ROW][C]337[/C][C]14.1[/C][C]-9.89677419354838[/C][C]23.9967741935484[/C][/ROW]
[ROW][C]338[/C][C]50.8[/C][C]22.2677419354839[/C][C]28.5322580645161[/C][/ROW]
[ROW][C]339[/C][C]63.5[/C][C]38.9225806451613[/C][C]24.5774193548387[/C][/ROW]
[ROW][C]340[/C][C]58.6[/C][C]20.5387096774193[/C][C]38.0612903225807[/C][/ROW]
[ROW][C]341[/C][C]-135.1[/C][C]-72.7258064516129[/C][C]-62.3741935483871[/C][/ROW]
[ROW][C]342[/C][C]7.8[/C][C]22.7709677419355[/C][C]-14.9709677419355[/C][/ROW]
[ROW][C]343[/C][C]25.5[/C][C]31.1451612903226[/C][C]-5.64516129032258[/C][/ROW]
[ROW][C]344[/C][C]29.6[/C][C]17.1064516129032[/C][C]12.4935483870968[/C][/ROW]
[ROW][C]345[/C][C]19.3[/C][C]15.441935483871[/C][C]3.85806451612903[/C][/ROW]
[ROW][C]346[/C][C]-26.2[/C][C]-22.0709677419355[/C][C]-4.12903225806451[/C][/ROW]
[ROW][C]347[/C][C]7.3[/C][C]-2.46774193548388[/C][C]9.76774193548388[/C][/ROW]
[ROW][C]348[/C][C]-82.6[/C][C]-74.3133333333333[/C][C]-8.28666666666664[/C][/ROW]
[ROW][C]349[/C][C]-26.1[/C][C]-9.89677419354837[/C][C]-16.2032258064516[/C][/ROW]
[ROW][C]350[/C][C]55.3[/C][C]22.2677419354839[/C][C]33.0322580645161[/C][/ROW]
[ROW][C]351[/C][C]98.8[/C][C]38.9225806451613[/C][C]59.8774193548387[/C][/ROW]
[ROW][C]352[/C][C]41.7[/C][C]20.5387096774194[/C][C]21.1612903225806[/C][/ROW]
[ROW][C]353[/C][C]-130.2[/C][C]-72.725806451613[/C][C]-57.4741935483871[/C][/ROW]
[ROW][C]354[/C][C]51.2[/C][C]22.7709677419355[/C][C]28.4290322580645[/C][/ROW]
[ROW][C]355[/C][C]18.4[/C][C]31.1451612903226[/C][C]-12.7451612903226[/C][/ROW]
[ROW][C]356[/C][C]32[/C][C]17.1064516129032[/C][C]14.8935483870968[/C][/ROW]
[ROW][C]357[/C][C]21.6[/C][C]15.441935483871[/C][C]6.15806451612904[/C][/ROW]
[ROW][C]358[/C][C]-12.5[/C][C]-22.0709677419355[/C][C]9.57096774193549[/C][/ROW]
[ROW][C]359[/C][C]46.6[/C][C]-2.46774193548387[/C][C]49.0677419354839[/C][/ROW]
[ROW][C]360[/C][C]-101.7[/C][C]-74.3133333333333[/C][C]-27.3866666666667[/C][/ROW]
[ROW][C]361[/C][C]15.8[/C][C]-9.89677419354838[/C][C]25.6967741935484[/C][/ROW]
[ROW][C]362[/C][C]26[/C][C]22.2677419354839[/C][C]3.73225806451613[/C][/ROW]
[ROW][C]363[/C][C]79.1[/C][C]38.9225806451613[/C][C]40.1774193548387[/C][/ROW]
[ROW][C]364[/C][C]23.1[/C][C]20.5387096774194[/C][C]2.56129032258065[/C][/ROW]
[ROW][C]365[/C][C]-86.9[/C][C]-72.7258064516129[/C][C]-14.1741935483871[/C][/ROW]
[ROW][C]366[/C][C]-11.2[/C][C]22.7709677419355[/C][C]-33.9709677419355[/C][/ROW]
[ROW][C]367[/C][C]50.7[/C][C]31.1451612903226[/C][C]19.5548387096774[/C][/ROW]
[ROW][C]368[/C][C]13.4[/C][C]17.1064516129032[/C][C]-3.70645161290322[/C][/ROW]
[ROW][C]369[/C][C]33.7[/C][C]15.441935483871[/C][C]18.258064516129[/C][/ROW]
[ROW][C]370[/C][C]-16.9[/C][C]-22.0709677419355[/C][C]5.17096774193548[/C][/ROW]
[ROW][C]371[/C][C]-9.6[/C][C]-2.46774193548387[/C][C]-7.13225806451613[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=147076&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=147076&T=4

As an alternative you can also use a QR Code:  

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

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
1-45.6-9.89677419354892-35.7032258064511
216.122.2677419354838-6.16774193548377
323.938.9225806451612-15.0225806451612
439.320.538709677419418.7612903225806
5-39.4-72.725806451612933.3258064516129
6-0.322.7709677419355-23.0709677419355
717.331.1451612903226-13.8451612903226
817.717.10645161290340.593548387096631
931.415.441935483870915.9580645161291
10-28.6-22.0709677419354-6.52903225806457
11-17.2-2.46774193548382-14.7322580645162
12-79-74.3133333333333-4.68666666666673
13-47.9-9.89677419354836-38.0032258064516
149.122.2677419354839-13.1677419354839
1510.638.9225806451613-28.3225806451613
16-23.920.5387096774193-44.4387096774193
17-45-72.725806451612927.7258064516129
18-42.222.7709677419355-64.9709677419355
1943.231.145161290322612.0548387096774
2032.117.106451612903214.9935483870968
21-15.315.441935483871-30.741935483871
2221.8-22.070967741935543.8709677419355
23-12-2.46774193548387-9.53225806451613
24-95.8-74.3133333333333-21.4866666666667
25-14.3-9.89677419354837-4.40322580645163
2647.822.267741935483925.5322580645161
2764.838.922580645161325.8774193548387
2840.220.538709677419419.6612903225806
29-28.8-72.725806451612943.9258064516129
3023.522.77096774193550.729032258064517
3170.331.145161290322639.1548387096774
3212.317.1064516129032-4.80645161290322
3343.515.44193548387128.058064516129
34-30.1-22.0709677419355-8.02903225806452
35-5.3-2.46774193548388-2.83225806451612
36-24-74.313333333333350.3133333333333
3711.1-9.8967741935483820.9967741935484
3821.522.2677419354839-0.767741935483872
3938.538.9225806451613-0.42258064516129
4016.820.5387096774194-3.73870967741935
41-36.2-72.725806451612936.5258064516129
42622.7709677419355-16.7709677419355
4326.631.1451612903226-4.54516129032258
44-817.1064516129032-25.1064516129032
4513.215.441935483871-2.24193548387097
46-23.6-22.0709677419355-1.52903225806452
4719.4-2.4677419354838821.8677419354839
48-46.2-74.313333333333328.1133333333333
49-8.2-9.896774193548371.69677419354837
5033.822.267741935483911.5322580645161
5116.638.9225806451613-22.3225806451613
525.420.5387096774194-15.1387096774194
53-25-72.725806451612947.7258064516129
54-5.322.7709677419355-28.0709677419355
5516.731.1451612903226-14.4451612903226
561917.10645161290321.89354838709678
5724.815.4419354838719.35806451612904
58-11.4-22.070967741935510.6709677419355
594.9-2.467741935483887.36774193548388
60-58.7-74.313333333333315.6133333333333
6116.8-9.8967741935483826.6967741935484
6213.622.2677419354839-8.66774193548388
636.438.9225806451613-32.5225806451613
6422.820.53870967741942.26129032258065
65-19.6-72.725806451612953.1258064516129
662.222.7709677419355-20.5709677419355
6719.831.1451612903226-11.3451612903226
68-10.717.1064516129032-27.8064516129032
694.715.441935483871-10.741935483871
70-44.5-22.0709677419355-22.4290322580645
71-34.7-2.46774193548386-32.2322580645161
72-119.7-74.3133333333333-45.3866666666667
73-42.2-9.89677419354837-32.3032258064516
74-5.422.2677419354839-27.6677419354839
7519.138.9225806451613-19.8225806451613
7618.820.5387096774194-1.73870967741935
77-2.3-72.725806451612970.4258064516129
780.222.7709677419355-22.5709677419355
7920.931.1451612903226-10.2451612903226
803.717.1064516129032-13.4064516129032
8150.415.44193548387134.958064516129
82-18.6-22.07096774193553.47096774193548
8310.6-2.4677419354838813.0677419354839
84-66-74.31333333333338.31333333333335
8510-9.8967741935483719.8967741935484
8627.222.26774193548394.93225806451613
8713.538.9225806451613-25.4225806451613
8847.220.538709677419326.6612903225807
89-20.3-72.725806451612952.4258064516129
9023.122.77096774193550.329032258064518
9112.631.1451612903226-18.5451612903226
9219.817.10645161290322.69354838709678
935.415.441935483871-10.041935483871
94-25.2-22.0709677419355-3.12903225806451
95-6.5-2.46774193548387-4.03225806451613
96-46.5-74.313333333333327.8133333333333
97-2.6-9.896774193548377.29677419354837
98-0.322.2677419354839-22.5677419354839
9938.538.9225806451613-0.42258064516129
100-8.920.5387096774194-29.4387096774194
101-38-72.725806451612934.7258064516129
10219.522.7709677419355-3.27096774193548
10351.731.145161290322620.5548387096774
10419.417.10645161290322.29354838709678
10518.215.4419354838712.75806451612903
106-50.8-22.0709677419355-28.7290322580645
107-6.1-2.46774193548387-3.63225806451613
108-54.6-74.313333333333319.7133333333333
10912.1-9.8967741935483821.9967741935484
11026.322.26774193548394.03225806451613
11119.538.9225806451613-19.4225806451613
112-0.820.5387096774194-21.3387096774194
113-49.6-72.725806451612923.1258064516129
11428.822.77096774193556.02903225806451
11531.731.14516129032260.554838709677425
1162.317.1064516129032-14.8064516129032
1173.815.441935483871-11.641935483871
118-66.2-22.0709677419355-44.1290322580645
119-20.5-2.46774193548387-18.0322580645161
120-113.2-74.3133333333333-38.8866666666667
121-65.2-9.89677419354836-55.3032258064516
122-3.922.2677419354839-26.1677419354839
1239.138.9225806451613-29.8225806451613
12423.220.53870967741942.66129032258065
125-39.1-72.725806451612933.6258064516129
12612.522.7709677419355-10.2709677419355
12749.131.145161290322617.9548387096774
12854.917.106451612903237.7935483870968
12930.815.44193548387115.358064516129
130-3.5-22.070967741935518.5709677419355
131-28.3-2.46774193548386-25.8322580645161
132-61-74.313333333333313.3133333333333
133-2-9.896774193548377.89677419354837
1344022.267741935483917.7322580645161
1357438.922580645161335.0774193548387
13623.120.53870967741942.56129032258065
137-45.3-72.725806451612927.4258064516129
13817.522.7709677419355-5.27096774193548
13925.831.1451612903226-5.34516129032258
14015.217.1064516129032-1.90645161290322
141-3.615.441935483871-19.041935483871
142-40.5-22.0709677419355-18.4290322580645
14311.5-2.4677419354838813.9677419354839
144-59.8-74.313333333333314.5133333333333
14523.3-9.8967741935483633.1967741935484
146-27.822.2677419354839-50.0677419354839
14755.738.922580645161316.7774193548387
14822.720.53870967741942.16129032258065
149-79.2-72.7258064516129-6.4741935483871
15028.822.77096774193556.02903225806451
15117.331.1451612903226-13.8451612903226
15239.617.106451612903222.4935483870968
153-22.215.441935483871-37.641935483871
154-43-22.0709677419355-20.9290322580645
155-50.3-2.46774193548387-47.8322580645161
156-86.5-74.3133333333334-12.1866666666666
157-31.9-9.89677419354838-22.0032258064516
15823.122.26774193548390.83225806451613
15953.638.922580645161314.6774193548387
16021.620.53870967741941.06129032258065
161-64.2-72.72580645161298.5258064516129
16235.222.770967741935512.4290322580645
16352.131.145161290322620.9548387096774
16440.617.106451612903223.4935483870968
16517.115.4419354838711.65806451612903
166-7.8-22.070967741935514.2709677419355
167-10-2.46774193548387-7.53225806451613
168-58-74.313333333333316.3133333333333
16914-9.8967741935483823.8967741935484
17015.822.2677419354839-6.46774193548387
1714638.92258064516137.0774193548387
172-8.920.5387096774194-29.4387096774194
173-26.7-72.725806451612946.0258064516129
1743922.770967741935516.2290322580645
175-1.331.1451612903226-32.4451612903226
17638.717.106451612903221.5935483870968
17722.115.4419354838716.65806451612904
178-49.2-22.0709677419355-27.1290322580645
179-3.4-2.46774193548387-0.932258064516125
180-86.7-74.3133333333334-12.3866666666666
181-24.3-9.89677419354837-14.4032258064516
18242.822.267741935483920.5322580645161
18344.938.92258064516135.97741935483871
1844.420.5387096774193-16.1387096774193
185-60.5-72.725806451612912.2258064516129
18641.422.770967741935518.6290322580645
18738.531.14516129032267.35483870967743
18828.517.106451612903211.3935483870968
1897.615.441935483871-7.84193548387097
190-46.4-22.0709677419355-24.3290322580645
1917-2.467741935483889.46774193548388
192-73-74.31333333333341.31333333333335
1935.7-9.8967741935483715.5967741935484
19423.622.26774193548391.33225806451613
19539.438.92258064516130.477419354838709
19630.320.53870967741949.76129032258064
197-92.5-72.7258064516129-19.7741935483871
19877.822.770967741935555.0290322580645
19912.431.1451612903226-18.7451612903226
20028.917.106451612903211.7935483870968
2016.415.441935483871-9.04193548387097
202-12-22.070967741935510.0709677419355
203-9.1-2.46774193548387-6.63225806451613
204-53.2-74.313333333333321.1133333333333
205-23.1-9.89677419354837-13.2032258064516
20647.322.267741935483925.0322580645161
20720.738.9225806451613-18.2225806451613
20827.820.53870967741947.26129032258065
209-84.3-72.7258064516129-11.5741935483871
21062.822.770967741935540.0290322580645
21126.431.1451612903226-4.74516129032258
21232.317.106451612903215.1935483870968
21313.315.441935483871-2.14193548387097
214-17.9-22.07096774193554.17096774193549
21510-2.4677419354838812.4677419354839
216-45.6-74.313333333333328.7133333333333
21713.5-9.8967741935483823.3967741935484
21811.922.2677419354839-10.3677419354839
2192638.9225806451613-12.9225806451613
220-6.320.5387096774194-26.8387096774194
221-79.9-72.7258064516129-7.1741935483871
22254.222.770967741935531.4290322580645
22322.931.1451612903226-8.24516129032259
22431.817.106451612903214.6935483870968
2253.815.441935483871-11.641935483871
226-11.4-22.070967741935510.6709677419355
227-8.6-2.46774193548387-6.13225806451613
228-49.4-74.313333333333324.9133333333333
229-2.5-9.896774193548377.39677419354837
2302322.26774193548390.732258064516128
2312938.9225806451613-9.9225806451613
23220.620.53870967741940.0612903225806472
233-117-72.7258064516129-44.2741935483871
23437.922.770967741935515.1290322580645
23530.731.1451612903226-0.445161290322575
2364.717.1064516129032-12.4064516129032
237-5.715.441935483871-21.141935483871
2384.9-22.070967741935526.9709677419355
23918.3-2.4677419354838720.7677419354839
240-35.4-74.313333333333338.9133333333333
241-21.3-9.89677419354837-11.4032258064516
24235.822.267741935483913.5322580645161
24343.838.92258064516134.8774193548387
24418.720.5387096774194-1.83870967741935
245-131.1-72.725806451613-58.3741935483871
24639.822.770967741935517.0290322580645
24744.531.145161290322613.3548387096774
24816.517.1064516129032-0.606451612903222
2499.715.441935483871-5.74193548387097
250-6.6-22.070967741935515.4709677419355
25115.8-2.4677419354838718.2677419354839
252-45.7-74.313333333333328.6133333333333
253-4.8-9.896774193548375.09677419354837
25417.622.2677419354839-4.66774193548387
25520.538.9225806451613-18.4225806451613
25624.220.53870967741943.66129032258064
257-109-72.7258064516129-36.2741935483871
25820.822.7709677419355-1.97096774193549
25931.231.14516129032260.0548387096774251
260-8.817.1064516129032-25.9064516129032
26111.815.441935483871-3.64193548387097
26213-22.070967741935535.0709677419355
2638.3-2.4677419354838810.7677419354839
264-77.9-74.3133333333334-3.58666666666665
265-38.8-9.89677419354837-28.9032258064516
2666.122.2677419354839-16.1677419354839
26718.138.9225806451613-20.8225806451613
26816.820.5387096774194-3.73870967741935
269-128.5-72.7258064516129-55.7741935483871
27015.922.7709677419355-6.87096774193548
2712931.1451612903226-2.14516129032258
272-7.217.1064516129032-24.3064516129032
2733.315.441935483871-12.141935483871
274-34.8-22.0709677419355-12.7290322580645
275-2.9-2.46774193548387-0.432258064516126
276-77.8-74.3133333333334-3.48666666666664
277-2.8-9.896774193548377.09677419354837
27826.722.26774193548394.43225806451613
27948.138.92258064516139.1774193548387
2803020.53870967741949.46129032258064
281-109.6-72.7258064516129-36.8741935483871
2821622.7709677419355-6.77096774193548
28326.931.1451612903226-4.24516129032258
28422.117.10645161290324.99354838709678
2852715.44193548387111.558064516129
286-24.5-22.0709677419355-2.42903225806451
28712-2.4677419354838714.4677419354839
288-75.2-74.3133333333334-0.886666666666649
2893.5-9.8967741935483713.3967741935484
29019.722.2677419354839-2.56774193548387
29151.838.922580645161312.8774193548387
29235.320.538709677419414.7612903225806
293-108.2-72.7258064516129-35.4741935483871
29425.322.77096774193552.52903225806451
29531.631.14516129032260.454838709677424
29619.917.10645161290322.79354838709678
29718.815.4419354838713.35806451612903
29820.4-22.070967741935542.4709677419355
29915-2.4677419354838717.4677419354839
300-55.9-74.313333333333318.4133333333333
301-17-9.89677419354837-7.10322580645163
30233.322.267741935483911.0322580645161
30333.838.9225806451613-5.12258064516129
30437.520.538709677419416.9612903225806
305-104.8-72.7258064516129-32.0741935483871
30629.722.77096774193556.92903225806451
30734.231.14516129032263.05483870967742
3084.317.1064516129032-12.8064516129032
30940.215.44193548387124.758064516129
310-29.3-22.0709677419355-7.22903225806452
311-0.2-2.467741935483882.26774193548388
312-95-74.3133333333333-20.6866666666667
313-13.2-9.89677419354837-3.30322580645163
31438.522.267741935483916.2322580645161
31545.438.92258064516136.4774193548387
31615.720.5387096774194-4.83870967741935
317-123.6-72.7258064516129-50.8741935483871
3181222.7709677419355-10.7709677419355
31937.531.14516129032266.35483870967742
320-31.717.1064516129032-48.8064516129032
32115.815.4419354838710.358064516129034
322-64.1-22.0709677419355-42.0290322580645
323-42.1-2.46774193548387-39.6322580645161
324-207.4-74.3133333333333-133.086666666667
325-12.9-9.89677419354837-3.00322580645163
326-522.2677419354839-27.2677419354839
32753.938.922580645161314.9774193548387
32819.720.5387096774194-0.838709677419355
329-94.6-72.7258064516129-21.8741935483871
3303622.770967741935513.2290322580645
33151.331.145161290322620.1548387096774
33217.417.10645161290320.293548387096777
33327.815.44193548387112.358064516129
3341.3-22.070967741935523.3709677419355
3353.6-2.467741935483876.06774193548387
336-97.9-74.3133333333333-23.5866666666667
33714.1-9.8967741935483823.9967741935484
33850.822.267741935483928.5322580645161
33963.538.922580645161324.5774193548387
34058.620.538709677419338.0612903225807
341-135.1-72.7258064516129-62.3741935483871
3427.822.7709677419355-14.9709677419355
34325.531.1451612903226-5.64516129032258
34429.617.106451612903212.4935483870968
34519.315.4419354838713.85806451612903
346-26.2-22.0709677419355-4.12903225806451
3477.3-2.467741935483889.76774193548388
348-82.6-74.3133333333333-8.28666666666664
349-26.1-9.89677419354837-16.2032258064516
35055.322.267741935483933.0322580645161
35198.838.922580645161359.8774193548387
35241.720.538709677419421.1612903225806
353-130.2-72.725806451613-57.4741935483871
35451.222.770967741935528.4290322580645
35518.431.1451612903226-12.7451612903226
3563217.106451612903214.8935483870968
35721.615.4419354838716.15806451612904
358-12.5-22.07096774193559.57096774193549
35946.6-2.4677419354838749.0677419354839
360-101.7-74.3133333333333-27.3866666666667
36115.8-9.8967741935483825.6967741935484
3622622.26774193548393.73225806451613
36379.138.922580645161340.1774193548387
36423.120.53870967741942.56129032258065
365-86.9-72.7258064516129-14.1741935483871
366-11.222.7709677419355-33.9709677419355
36750.731.145161290322619.5548387096774
36813.417.1064516129032-3.70645161290322
36933.715.44193548387118.258064516129
370-16.9-22.07096774193555.17096774193548
371-9.6-2.46774193548387-7.13225806451613







Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
150.02329919398455470.04659838796910940.976700806015445
160.5618794118644390.8762411762711230.438120588135561
170.4227143738623340.8454287477246670.577285626137666
180.5169502288821550.966099542235690.483049771117845
190.4706228547018640.9412457094037290.529377145298136
200.3835362750847590.7670725501695190.616463724915241
210.4924749161791340.9849498323582680.507525083820866
220.6139087678445720.7721824643108550.386091232155428
230.5275237779341630.9449524441316740.472476222065837
240.4644820035650130.9289640071300250.535517996434987
250.4864027578594590.9728055157189180.513597242140541
260.5260149084146390.9479701831707220.473985091585361
270.6437030793755980.7125938412488040.356296920624402
280.655432652726760.689134694546480.34456734727324
290.6144537889405690.7710924221188630.385546211059431
300.6894268436216040.6211463127567930.310573156378396
310.7377804981656130.5244390036687730.262219501834387
320.6916903328590670.6166193342818650.308309667140933
330.714631602889280.5707367942214390.285368397110719
340.7014262807016010.5971474385967990.298573719298399
350.6514742607972960.6970514784054080.348525739202704
360.8180622892287320.3638754215425370.181937710771268
370.8688735210591360.2622529578817280.131126478940864
380.8366694373926050.326661125214790.163330562607395
390.8011157615255540.3977684769488910.198884238474446
400.7606043216093530.4787913567812940.239395678390647
410.7286655800317750.542668839936450.271334419968225
420.6938509117888560.6122981764222880.306149088211144
430.6623795651436380.6752408697127240.337620434856362
440.6661978683399040.6676042633201910.333802131660096
450.6203112444190160.7593775111619680.379688755580984
460.5781636831482330.8436726337035350.421836316851767
470.5894806614223280.8210386771553440.410519338577672
480.572144573802880.8557108523942390.42785542619712
490.5391347185543820.9217305628912370.460865281445618
500.4979939530406860.9959879060813720.502006046959314
510.4748722090081130.9497444180162260.525127790991887
520.4394873148145990.8789746296291980.560512685185401
530.4304690988146750.860938197629350.569530901185325
540.3949771013822640.7899542027645280.605022898617736
550.3830148551298840.7660297102597690.616985144870116
560.3410740546790030.6821481093580060.658925945320997
570.3029308316923670.6058616633847330.697069168307633
580.265903667086670.531807334173340.73409633291333
590.2338519719428120.4677039438856240.766148028057188
600.2031745694186030.4063491388372050.796825430581397
610.2446390309568690.4892780619137370.755360969043131
620.2183862911418570.4367725822837130.781613708858143
630.2238894235519280.4477788471038550.776110576448072
640.1947601863498360.3895203726996710.805239813650164
650.2046225912598070.4092451825196130.795377408740193
660.1818993298889280.3637986597778550.818100670111072
670.1645173392519620.3290346785039240.835482660748038
680.1694088241121480.3388176482242960.830591175887852
690.1527368617362370.3054737234724740.847263138263763
700.164797697686440.3295953953728790.83520230231356
710.1883909513795710.3767819027591420.81160904862043
720.3361983748868550.6723967497737110.663801625113145
730.3524250935921930.7048501871843870.647574906407807
740.368687732327830.7373754646556610.63131226767217
750.3411181913235070.6822363826470130.658881808676493
760.3056342472231330.6112684944462660.694365752776867
770.4003874893878280.8007749787756570.599612510612172
780.3749117705542090.7498235411084170.625088229445791
790.3465531840976390.6931063681952780.653446815902361
800.3166145122590480.6332290245180960.683385487740952
810.3546146826589330.7092293653178650.645385317341067
820.3198020765872070.6396041531744140.680197923412793
830.3036886894389610.6073773788779220.696311310561039
840.2732629520477240.5465259040954480.726737047952276
850.2834007869735380.5668015739470760.716599213026462
860.255156850052220.510313700104440.74484314994778
870.2424989844700490.4849979689400980.757501015529951
880.2604960827989230.5209921655978460.739503917201077
890.2904274236891160.5808548473782310.709572576310884
900.2893268648093030.5786537296186060.710673135190697
910.2780002587806910.5560005175613830.721999741219309
920.2526802869215270.5053605738430540.747319713078473
930.236201436066610.4724028721332190.76379856393339
940.2104896249265360.4209792498530720.789510375073464
950.1856066040032730.3712132080065460.814393395996727
960.190720210185410.381440420370820.80927978981459
970.1727945301913830.3455890603827650.827205469808617
980.1705991430503020.3411982861006030.829400856949698
990.1556543044749060.3113086089498120.844345695525094
1000.1718760379376490.3437520758752990.82812396206235
1010.1827093339882640.3654186679765280.817290666011736
1020.1729634774547110.3459269549094210.82703652254529
1030.1730440366665180.3460880733330360.826955963333482
1040.1538329538596740.3076659077193480.846167046140326
1050.1342682385341980.2685364770683970.865731761465802
1060.1503374483552420.3006748967104850.849662551644758
1070.1311997325163970.2623994650327940.868800267483603
1080.1221704196821330.2443408393642650.877829580317867
1090.1260695603606060.2521391207212130.873930439639394
1100.1107669433934390.2215338867868790.889233056606561
1110.1013394954934860.2026789909869720.898660504506514
1120.09816682474128520.196333649482570.901833175258715
1130.1081460278603490.2162920557206990.89185397213965
1140.1080871994780460.2161743989560920.891912800521954
1150.09317136654605330.1863427330921070.906828633453947
1160.08369714607825970.1673942921565190.91630285392174
1170.07653637665408440.1530727533081690.923463623345916
1180.1178019261067260.2356038522134510.882198073893274
1190.1107581498253540.2215162996507070.889241850174646
1200.1657207997220190.3314415994440380.834279200277981
1210.291969758102550.5839395162051010.70803024189745
1220.298498554391890.596997108783780.70150144560811
1230.3055966669755360.6111933339510730.694403333024464
1240.2796075649322970.5592151298645940.720392435067703
1250.3111238722017440.6222477444034870.688876127798256
1260.2915013624938750.583002724987750.708498637506125
1270.2825957592545490.5651915185090980.717404240745451
1280.3559353937624250.711870787524850.644064606237575
1290.3386936401897610.6773872803795220.661306359810239
1300.3379657338799940.6759314677599890.662034266120005
1310.3439608753391840.6879217506783680.656039124660816
1320.3233176833713110.6466353667426220.676682316628689
1330.3028357791495810.6056715582991620.697164220850419
1340.2996002153977640.5992004307955280.700399784602236
1350.3840666414474130.7681332828948270.615933358552587
1360.3557488644369090.7114977288738180.644251135563091
1370.3936980195463910.7873960390927820.606301980453609
1380.3735065969320840.7470131938641680.626493403067916
1390.3461845740575080.6923691481150150.653815425942492
1400.3176890606995670.6353781213991350.682310939300433
1410.3151698585270150.630339717054030.684830141472985
1420.3048620605781770.6097241211563540.695137939421823
1430.2944539373690180.5889078747380370.705546062630982
1440.2775907599427240.5551815198854490.722409240057276
1450.3222750112522040.6445500225044080.677724988747796
1460.4442983609175260.8885967218350520.555701639082474
1470.4457622347227490.8915244694454980.554237765277251
1480.4163464146628520.8326928293257040.583653585337148
1490.4779389554896340.9558779109792680.522061044510366
1500.4648831823220650.9297663646441310.535116817677935
1510.4470129097937210.8940258195874420.552987090206279
1520.4510823148937740.9021646297875480.548917685106226
1530.5144582457979110.9710835084041780.485541754202089
1540.509382572585250.98123485482950.49061742741475
1550.6184228385337440.7631543229325130.381577161466256
1560.6015700773141390.7968598453717230.398429922685861
1570.6013252116785630.7973495766428730.398674788321437
1580.5739908459380580.8520183081238850.426009154061942
1590.56495254120150.8700949175970.4350474587985
1600.5351690625450150.929661874909970.464830937454985
1610.569061327734250.86187734453150.43093867226575
1620.5627160366720980.8745679266558040.437283963327902
1630.5606646439902150.878670712019570.439335356009785
1640.5660062859427340.8679874281145320.433993714057266
1650.535983281057210.9280334378855790.464016718942789
1660.5223716374386580.9552567251226840.477628362561342
1670.4972625064308570.9945250128617140.502737493569143
1680.4835953785053880.9671907570107750.516404621494612
1690.4922185317690740.9844370635381470.507781468230927
1700.4661516557921450.932303311584290.533848344207855
1710.4427292332031110.8854584664062220.557270766796889
1720.4677866453903860.9355732907807710.532213354609614
1730.6240309060862150.751938187827570.375969093913785
1740.6216261170643390.7567477658713230.378373882935661
1750.6599687624046920.6800624751906170.340031237595308
1760.6608093583737420.6783812832525160.339190641626258
1770.6354211941157910.7291576117684180.364578805884209
1780.6538302983783210.6923394032433590.346169701621679
1790.6286508212829410.7426983574341180.371349178717059
1800.6111543560491070.7776912879017870.388845643950893
1810.5956574571108830.8086850857782340.404342542889117
1820.5960758070505930.8078483858988140.403924192949407
1830.5710423146759540.8579153706480920.428957685324046
1840.5601794408387170.8796411183225670.439820559161283
1850.6212341467760680.7575317064478640.378765853223932
1860.6200143032956640.7599713934086710.379985696704336
1870.5943283168103330.8113433663793340.405671683189667
1880.5740185313547210.8519629372905580.425981468645279
1890.5482246308322160.9035507383355690.451775369167784
1900.5619913641334360.8760172717331280.438008635866564
1910.5408174125701520.9183651748596950.459182587429848
1920.5117683468646310.9764633062707370.488231653135369
1930.4978772463704450.995754492740890.502122753629555
1940.4692144261736360.9384288523472730.530785573826364
1950.4412151608927090.8824303217854190.558784839107291
1960.4188152059169470.8376304118338930.581184794083053
1970.485637817691410.971275635382820.51436218230859
1980.6506759435717220.6986481128565570.349324056428279
1990.6447091315231840.7105817369536310.355290868476816
2000.6266403262221820.7467193475556350.373359673777817
2010.6030504638795120.7938990722409770.396949536120488
2020.5817065748431180.8365868503137650.418293425156882
2030.5587179216795660.8825641566408680.441282078320434
2040.5626461590437140.8747076819125730.437353840956286
2050.5451361609691680.9097276780616650.454863839030832
2060.5543957703952750.891208459209450.445604229604725
2070.5531488282993460.8937023434013080.446851171700654
2080.5265992594253470.9468014811493050.473400740574653
2090.5724923128549070.8550153742901870.427507687145093
2100.6419608555306080.7160782889387840.358039144469392
2110.6148242023485610.7703515953028780.385175797651439
2120.6044539390122230.7910921219755540.395546060987777
2130.5751125626708440.8497748746583120.424887437329156
2140.5479143765789060.9041712468421890.452085623421095
2150.5274490522444180.9451018955111650.472550947755582
2160.5641368832087740.8717262335824530.435863116791226
2170.5685292272336410.8629415455327180.431470772766359
2180.5482173856040290.9035652287919430.451782614395971
2190.5381965144170730.9236069711658540.461803485582927
2200.5666326534404460.8667346931191080.433367346559554
2210.6139468537460770.7721062925078470.386053146253923
2220.6463917706158030.7072164587683940.353608229384197
2230.6228939490478790.7542121019042430.377106050952121
2240.6147232439920720.7705535120158560.385276756007928
2250.5955012848574090.8089974302851820.404498715142591
2260.5717154806104080.8565690387791840.428284519389592
2270.5492273830160010.9015452339679980.450772616983999
2280.5815159624975440.8369680750049130.418484037502456
2290.5540706061803240.8918587876393520.445929393819676
2300.5240795781906710.9518408436186590.475920421809329
2310.5119220172617710.9761559654764580.488077982738229
2320.4840800830648650.968160166129730.515919916935135
2330.5720627444571870.8558745110856270.427937255542813
2340.556331195869010.887337608261980.44366880413099
2350.5254954069022810.9490091861954390.474504593097719
2360.5017392453327730.9965215093344540.498260754667227
2370.5070501063874290.9858997872251410.492949893612571
2380.5166636519811270.9666726960377470.483336348018873
2390.5075586957695380.9848826084609250.492441304230462
2400.6284728706354470.7430542587291050.371527129364553
2410.6074125419328720.7851749161342570.392587458067128
2420.5853439203680980.8293121592638030.414656079631902
2430.5588049158465280.8823901683069440.441195084153472
2440.5326444318698210.9347111362603580.467355568130179
2450.6514143623695550.6971712752608910.348585637630445
2460.6415954305964380.7168091388071240.358404569403562
2470.6201284414686990.7597431170626010.379871558531301
2480.5913748502046470.8172502995907050.408625149795353
2490.5658253014307070.8683493971385870.434174698569293
2500.5453228223717410.9093543552565180.454677177628259
2510.5288816319021660.9422367361956680.471118368097834
2520.6163231672759940.7673536654480110.383676832724005
2530.5856598089579260.8286803820841480.414340191042074
2540.5579056100410310.8841887799179380.442094389958969
2550.5801279204626480.8397441590747040.419872079537352
2560.5506824883105330.8986350233789340.449317511689467
2570.5778805256158430.8442389487683150.422119474384157
2580.5450237103972730.9099525792054530.454976289602726
2590.5119484911148340.976103017770330.488051508885166
2600.5130433693554580.9739132612890850.486956630644542
2610.4850887137100010.9701774274200030.514911286289999
2620.5293719627654140.9412560744691730.470628037234586
2630.5001349171325310.9997301657349390.499865082867469
2640.490011458935550.98002291787110.50998854106445
2650.5239075832898540.9521848334202920.476092416710146
2660.5213197767520920.9573604464958170.478680223247908
2670.5710345164345270.8579309671309460.428965483565473
2680.5489479671803350.902104065639330.451052032819665
2690.6187213420701930.7625573158596140.381278657929807
2700.5871973975301650.825605204939670.412802602469835
2710.5542531577469880.8914936845060230.445746842253012
2720.551869517121980.896260965756040.44813048287802
2730.5421372922857820.9157254154284360.457862707714218
2740.5216278194816120.9567443610367770.478372180518389
2750.488652205401980.9773044108039590.51134779459802
2760.4846507627502210.9693015255004420.515349237249779
2770.4506740576621090.9013481153242190.549325942337891
2780.4172702665210030.8345405330420060.582729733478997
2790.3943985316180710.7887970632361420.605601468381929
2800.3634787063765370.7269574127530750.636521293623463
2810.3688678145058640.7377356290117280.631132185494136
2820.3372915846777440.6745831693554880.662708415322256
2830.3079735294772970.6159470589545940.692026470522703
2840.2807530486652120.5615060973304230.719246951334789
2850.253663765105990.5073275302119790.74633623489401
2860.2265332163551810.4530664327103630.773466783644819
2870.2056170101021610.4112340202043210.79438298989784
2880.213953303395210.4279066067904190.78604669660479
2890.1934174285391420.3868348570782840.806582571460858
2900.1742726874120170.3485453748240340.825727312587983
2910.1578455537345460.3156911074690920.842154446265454
2920.1392372937559970.2784745875119950.860762706244003
2930.1375674947713080.2751349895426150.862432505228693
2940.1181626062756620.2363252125513230.881837393724338
2950.1007544634084390.2015089268168780.899245536591561
2960.08635262116569430.1727052423313890.913647378834306
2970.07328382012959380.1465676402591880.926716179870406
2980.1087473784747950.2174947569495910.891252621525205
2990.09790843978986220.1958168795797240.902091560210138
3000.1765022101355050.353004420271010.823497789864495
3010.1569425204961090.3138850409922170.843057479503891
3020.135497589467640.270995178935280.86450241053236
3030.14694226504470.29388453008940.8530577349553
3040.1286033117756010.2572066235512030.871396688224399
3050.1223096038287520.2446192076575040.877690396171248
3060.1055567281326820.2111134562653640.894443271867318
3070.08811218397915440.1762243679583090.911887816020846
3080.07473117016771030.1494623403354210.92526882983229
3090.06877544381542720.1375508876308540.931224556184573
3100.05659192868577650.1131838573715530.943408071314224
3110.04557990767458790.09115981534917580.954420092325412
3120.04707184217278140.09414368434556270.952928157827219
3130.03867931156739480.07735862313478950.961320688432605
3140.03161808166096760.06323616332193520.968381918339032
3150.03143121044081910.06286242088163820.96856878955918
3160.02751420001678160.05502840003356310.972485799983218
3170.02867383492073750.05734766984147510.971326165079263
3180.02285267505853070.04570535011706140.97714732494147
3190.01748388007783640.03496776015567290.982516119922164
3200.03932229496946240.07864458993892490.960677705030538
3210.03135086970516260.06270173941032520.968649130294837
3220.05728523576758710.1145704715351740.942714764232413
3230.1089350640921560.2178701281843110.891064935907844
3240.8933282890979110.2133434218041780.106671710902089
3250.875171250549890.249657498900220.12482874945011
3260.9379584563801530.1240830872396940.0620415436198472
3270.9413005881430220.1173988237139550.0586994118569775
3280.9370464557246320.1259070885507360.0629535442753679
3290.9361594747113250.127681050577350.063840525288675
3300.9301428373281790.1397143253436420.069857162671821
3310.9238496722916340.1523006554167310.0761503277083657
3320.9023307628960180.1953384742079640.0976692371039822
3330.8744727817729640.2510544364540720.125527218227036
3340.8642809731936360.2714380536127280.135719026806364
3350.8350195589904130.3299608820191740.164980441009587
3360.7974949003743740.4050101992512520.202505099625626
3370.7769177848341750.4461644303316490.223082215165825
3380.7370700831443960.5258598337112080.262929916855604
3390.7332474141753710.5335051716492580.266752585824629
3400.73596826752320.5280634649536010.264031732476801
3410.7530364050521070.4939271898957850.246963594947893
3420.7053276938641430.5893446122717140.294672306135857
3430.6452269888882210.7095460222235570.354773011111779
3440.5772009334246480.8455981331507030.422799066575352
3450.506142308954370.9877153820912590.49385769104563
3460.438505618738040.877011237476080.56149438126196
3470.3703997388415590.7407994776831180.629600261158441
3480.3156729744061010.6313459488122020.684327025593899
3490.3508202241435640.7016404482871290.649179775856436
3500.3296662022577510.6593324045155020.670333797742249
3510.2848711211076510.5697422422153030.715128878892349
3520.2245997647368840.4491995294737680.775400235263116
3530.2674950227663310.5349900455326620.73250497723367
3540.5235507396467310.9528985207065370.476449260353269
3550.514852841216570.970294317566860.48514715878343
3560.3982421922980870.7964843845961740.601757807701913

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
15 & 0.0232991939845547 & 0.0465983879691094 & 0.976700806015445 \tabularnewline
16 & 0.561879411864439 & 0.876241176271123 & 0.438120588135561 \tabularnewline
17 & 0.422714373862334 & 0.845428747724667 & 0.577285626137666 \tabularnewline
18 & 0.516950228882155 & 0.96609954223569 & 0.483049771117845 \tabularnewline
19 & 0.470622854701864 & 0.941245709403729 & 0.529377145298136 \tabularnewline
20 & 0.383536275084759 & 0.767072550169519 & 0.616463724915241 \tabularnewline
21 & 0.492474916179134 & 0.984949832358268 & 0.507525083820866 \tabularnewline
22 & 0.613908767844572 & 0.772182464310855 & 0.386091232155428 \tabularnewline
23 & 0.527523777934163 & 0.944952444131674 & 0.472476222065837 \tabularnewline
24 & 0.464482003565013 & 0.928964007130025 & 0.535517996434987 \tabularnewline
25 & 0.486402757859459 & 0.972805515718918 & 0.513597242140541 \tabularnewline
26 & 0.526014908414639 & 0.947970183170722 & 0.473985091585361 \tabularnewline
27 & 0.643703079375598 & 0.712593841248804 & 0.356296920624402 \tabularnewline
28 & 0.65543265272676 & 0.68913469454648 & 0.34456734727324 \tabularnewline
29 & 0.614453788940569 & 0.771092422118863 & 0.385546211059431 \tabularnewline
30 & 0.689426843621604 & 0.621146312756793 & 0.310573156378396 \tabularnewline
31 & 0.737780498165613 & 0.524439003668773 & 0.262219501834387 \tabularnewline
32 & 0.691690332859067 & 0.616619334281865 & 0.308309667140933 \tabularnewline
33 & 0.71463160288928 & 0.570736794221439 & 0.285368397110719 \tabularnewline
34 & 0.701426280701601 & 0.597147438596799 & 0.298573719298399 \tabularnewline
35 & 0.651474260797296 & 0.697051478405408 & 0.348525739202704 \tabularnewline
36 & 0.818062289228732 & 0.363875421542537 & 0.181937710771268 \tabularnewline
37 & 0.868873521059136 & 0.262252957881728 & 0.131126478940864 \tabularnewline
38 & 0.836669437392605 & 0.32666112521479 & 0.163330562607395 \tabularnewline
39 & 0.801115761525554 & 0.397768476948891 & 0.198884238474446 \tabularnewline
40 & 0.760604321609353 & 0.478791356781294 & 0.239395678390647 \tabularnewline
41 & 0.728665580031775 & 0.54266883993645 & 0.271334419968225 \tabularnewline
42 & 0.693850911788856 & 0.612298176422288 & 0.306149088211144 \tabularnewline
43 & 0.662379565143638 & 0.675240869712724 & 0.337620434856362 \tabularnewline
44 & 0.666197868339904 & 0.667604263320191 & 0.333802131660096 \tabularnewline
45 & 0.620311244419016 & 0.759377511161968 & 0.379688755580984 \tabularnewline
46 & 0.578163683148233 & 0.843672633703535 & 0.421836316851767 \tabularnewline
47 & 0.589480661422328 & 0.821038677155344 & 0.410519338577672 \tabularnewline
48 & 0.57214457380288 & 0.855710852394239 & 0.42785542619712 \tabularnewline
49 & 0.539134718554382 & 0.921730562891237 & 0.460865281445618 \tabularnewline
50 & 0.497993953040686 & 0.995987906081372 & 0.502006046959314 \tabularnewline
51 & 0.474872209008113 & 0.949744418016226 & 0.525127790991887 \tabularnewline
52 & 0.439487314814599 & 0.878974629629198 & 0.560512685185401 \tabularnewline
53 & 0.430469098814675 & 0.86093819762935 & 0.569530901185325 \tabularnewline
54 & 0.394977101382264 & 0.789954202764528 & 0.605022898617736 \tabularnewline
55 & 0.383014855129884 & 0.766029710259769 & 0.616985144870116 \tabularnewline
56 & 0.341074054679003 & 0.682148109358006 & 0.658925945320997 \tabularnewline
57 & 0.302930831692367 & 0.605861663384733 & 0.697069168307633 \tabularnewline
58 & 0.26590366708667 & 0.53180733417334 & 0.73409633291333 \tabularnewline
59 & 0.233851971942812 & 0.467703943885624 & 0.766148028057188 \tabularnewline
60 & 0.203174569418603 & 0.406349138837205 & 0.796825430581397 \tabularnewline
61 & 0.244639030956869 & 0.489278061913737 & 0.755360969043131 \tabularnewline
62 & 0.218386291141857 & 0.436772582283713 & 0.781613708858143 \tabularnewline
63 & 0.223889423551928 & 0.447778847103855 & 0.776110576448072 \tabularnewline
64 & 0.194760186349836 & 0.389520372699671 & 0.805239813650164 \tabularnewline
65 & 0.204622591259807 & 0.409245182519613 & 0.795377408740193 \tabularnewline
66 & 0.181899329888928 & 0.363798659777855 & 0.818100670111072 \tabularnewline
67 & 0.164517339251962 & 0.329034678503924 & 0.835482660748038 \tabularnewline
68 & 0.169408824112148 & 0.338817648224296 & 0.830591175887852 \tabularnewline
69 & 0.152736861736237 & 0.305473723472474 & 0.847263138263763 \tabularnewline
70 & 0.16479769768644 & 0.329595395372879 & 0.83520230231356 \tabularnewline
71 & 0.188390951379571 & 0.376781902759142 & 0.81160904862043 \tabularnewline
72 & 0.336198374886855 & 0.672396749773711 & 0.663801625113145 \tabularnewline
73 & 0.352425093592193 & 0.704850187184387 & 0.647574906407807 \tabularnewline
74 & 0.36868773232783 & 0.737375464655661 & 0.63131226767217 \tabularnewline
75 & 0.341118191323507 & 0.682236382647013 & 0.658881808676493 \tabularnewline
76 & 0.305634247223133 & 0.611268494446266 & 0.694365752776867 \tabularnewline
77 & 0.400387489387828 & 0.800774978775657 & 0.599612510612172 \tabularnewline
78 & 0.374911770554209 & 0.749823541108417 & 0.625088229445791 \tabularnewline
79 & 0.346553184097639 & 0.693106368195278 & 0.653446815902361 \tabularnewline
80 & 0.316614512259048 & 0.633229024518096 & 0.683385487740952 \tabularnewline
81 & 0.354614682658933 & 0.709229365317865 & 0.645385317341067 \tabularnewline
82 & 0.319802076587207 & 0.639604153174414 & 0.680197923412793 \tabularnewline
83 & 0.303688689438961 & 0.607377378877922 & 0.696311310561039 \tabularnewline
84 & 0.273262952047724 & 0.546525904095448 & 0.726737047952276 \tabularnewline
85 & 0.283400786973538 & 0.566801573947076 & 0.716599213026462 \tabularnewline
86 & 0.25515685005222 & 0.51031370010444 & 0.74484314994778 \tabularnewline
87 & 0.242498984470049 & 0.484997968940098 & 0.757501015529951 \tabularnewline
88 & 0.260496082798923 & 0.520992165597846 & 0.739503917201077 \tabularnewline
89 & 0.290427423689116 & 0.580854847378231 & 0.709572576310884 \tabularnewline
90 & 0.289326864809303 & 0.578653729618606 & 0.710673135190697 \tabularnewline
91 & 0.278000258780691 & 0.556000517561383 & 0.721999741219309 \tabularnewline
92 & 0.252680286921527 & 0.505360573843054 & 0.747319713078473 \tabularnewline
93 & 0.23620143606661 & 0.472402872133219 & 0.76379856393339 \tabularnewline
94 & 0.210489624926536 & 0.420979249853072 & 0.789510375073464 \tabularnewline
95 & 0.185606604003273 & 0.371213208006546 & 0.814393395996727 \tabularnewline
96 & 0.19072021018541 & 0.38144042037082 & 0.80927978981459 \tabularnewline
97 & 0.172794530191383 & 0.345589060382765 & 0.827205469808617 \tabularnewline
98 & 0.170599143050302 & 0.341198286100603 & 0.829400856949698 \tabularnewline
99 & 0.155654304474906 & 0.311308608949812 & 0.844345695525094 \tabularnewline
100 & 0.171876037937649 & 0.343752075875299 & 0.82812396206235 \tabularnewline
101 & 0.182709333988264 & 0.365418667976528 & 0.817290666011736 \tabularnewline
102 & 0.172963477454711 & 0.345926954909421 & 0.82703652254529 \tabularnewline
103 & 0.173044036666518 & 0.346088073333036 & 0.826955963333482 \tabularnewline
104 & 0.153832953859674 & 0.307665907719348 & 0.846167046140326 \tabularnewline
105 & 0.134268238534198 & 0.268536477068397 & 0.865731761465802 \tabularnewline
106 & 0.150337448355242 & 0.300674896710485 & 0.849662551644758 \tabularnewline
107 & 0.131199732516397 & 0.262399465032794 & 0.868800267483603 \tabularnewline
108 & 0.122170419682133 & 0.244340839364265 & 0.877829580317867 \tabularnewline
109 & 0.126069560360606 & 0.252139120721213 & 0.873930439639394 \tabularnewline
110 & 0.110766943393439 & 0.221533886786879 & 0.889233056606561 \tabularnewline
111 & 0.101339495493486 & 0.202678990986972 & 0.898660504506514 \tabularnewline
112 & 0.0981668247412852 & 0.19633364948257 & 0.901833175258715 \tabularnewline
113 & 0.108146027860349 & 0.216292055720699 & 0.89185397213965 \tabularnewline
114 & 0.108087199478046 & 0.216174398956092 & 0.891912800521954 \tabularnewline
115 & 0.0931713665460533 & 0.186342733092107 & 0.906828633453947 \tabularnewline
116 & 0.0836971460782597 & 0.167394292156519 & 0.91630285392174 \tabularnewline
117 & 0.0765363766540844 & 0.153072753308169 & 0.923463623345916 \tabularnewline
118 & 0.117801926106726 & 0.235603852213451 & 0.882198073893274 \tabularnewline
119 & 0.110758149825354 & 0.221516299650707 & 0.889241850174646 \tabularnewline
120 & 0.165720799722019 & 0.331441599444038 & 0.834279200277981 \tabularnewline
121 & 0.29196975810255 & 0.583939516205101 & 0.70803024189745 \tabularnewline
122 & 0.29849855439189 & 0.59699710878378 & 0.70150144560811 \tabularnewline
123 & 0.305596666975536 & 0.611193333951073 & 0.694403333024464 \tabularnewline
124 & 0.279607564932297 & 0.559215129864594 & 0.720392435067703 \tabularnewline
125 & 0.311123872201744 & 0.622247744403487 & 0.688876127798256 \tabularnewline
126 & 0.291501362493875 & 0.58300272498775 & 0.708498637506125 \tabularnewline
127 & 0.282595759254549 & 0.565191518509098 & 0.717404240745451 \tabularnewline
128 & 0.355935393762425 & 0.71187078752485 & 0.644064606237575 \tabularnewline
129 & 0.338693640189761 & 0.677387280379522 & 0.661306359810239 \tabularnewline
130 & 0.337965733879994 & 0.675931467759989 & 0.662034266120005 \tabularnewline
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352 & 0.224599764736884 & 0.449199529473768 & 0.775400235263116 \tabularnewline
353 & 0.267495022766331 & 0.534990045532662 & 0.73250497723367 \tabularnewline
354 & 0.523550739646731 & 0.952898520706537 & 0.476449260353269 \tabularnewline
355 & 0.51485284121657 & 0.97029431756686 & 0.48514715878343 \tabularnewline
356 & 0.398242192298087 & 0.796484384596174 & 0.601757807701913 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=147076&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]15[/C][C]0.0232991939845547[/C][C]0.0465983879691094[/C][C]0.976700806015445[/C][/ROW]
[ROW][C]16[/C][C]0.561879411864439[/C][C]0.876241176271123[/C][C]0.438120588135561[/C][/ROW]
[ROW][C]17[/C][C]0.422714373862334[/C][C]0.845428747724667[/C][C]0.577285626137666[/C][/ROW]
[ROW][C]18[/C][C]0.516950228882155[/C][C]0.96609954223569[/C][C]0.483049771117845[/C][/ROW]
[ROW][C]19[/C][C]0.470622854701864[/C][C]0.941245709403729[/C][C]0.529377145298136[/C][/ROW]
[ROW][C]20[/C][C]0.383536275084759[/C][C]0.767072550169519[/C][C]0.616463724915241[/C][/ROW]
[ROW][C]21[/C][C]0.492474916179134[/C][C]0.984949832358268[/C][C]0.507525083820866[/C][/ROW]
[ROW][C]22[/C][C]0.613908767844572[/C][C]0.772182464310855[/C][C]0.386091232155428[/C][/ROW]
[ROW][C]23[/C][C]0.527523777934163[/C][C]0.944952444131674[/C][C]0.472476222065837[/C][/ROW]
[ROW][C]24[/C][C]0.464482003565013[/C][C]0.928964007130025[/C][C]0.535517996434987[/C][/ROW]
[ROW][C]25[/C][C]0.486402757859459[/C][C]0.972805515718918[/C][C]0.513597242140541[/C][/ROW]
[ROW][C]26[/C][C]0.526014908414639[/C][C]0.947970183170722[/C][C]0.473985091585361[/C][/ROW]
[ROW][C]27[/C][C]0.643703079375598[/C][C]0.712593841248804[/C][C]0.356296920624402[/C][/ROW]
[ROW][C]28[/C][C]0.65543265272676[/C][C]0.68913469454648[/C][C]0.34456734727324[/C][/ROW]
[ROW][C]29[/C][C]0.614453788940569[/C][C]0.771092422118863[/C][C]0.385546211059431[/C][/ROW]
[ROW][C]30[/C][C]0.689426843621604[/C][C]0.621146312756793[/C][C]0.310573156378396[/C][/ROW]
[ROW][C]31[/C][C]0.737780498165613[/C][C]0.524439003668773[/C][C]0.262219501834387[/C][/ROW]
[ROW][C]32[/C][C]0.691690332859067[/C][C]0.616619334281865[/C][C]0.308309667140933[/C][/ROW]
[ROW][C]33[/C][C]0.71463160288928[/C][C]0.570736794221439[/C][C]0.285368397110719[/C][/ROW]
[ROW][C]34[/C][C]0.701426280701601[/C][C]0.597147438596799[/C][C]0.298573719298399[/C][/ROW]
[ROW][C]35[/C][C]0.651474260797296[/C][C]0.697051478405408[/C][C]0.348525739202704[/C][/ROW]
[ROW][C]36[/C][C]0.818062289228732[/C][C]0.363875421542537[/C][C]0.181937710771268[/C][/ROW]
[ROW][C]37[/C][C]0.868873521059136[/C][C]0.262252957881728[/C][C]0.131126478940864[/C][/ROW]
[ROW][C]38[/C][C]0.836669437392605[/C][C]0.32666112521479[/C][C]0.163330562607395[/C][/ROW]
[ROW][C]39[/C][C]0.801115761525554[/C][C]0.397768476948891[/C][C]0.198884238474446[/C][/ROW]
[ROW][C]40[/C][C]0.760604321609353[/C][C]0.478791356781294[/C][C]0.239395678390647[/C][/ROW]
[ROW][C]41[/C][C]0.728665580031775[/C][C]0.54266883993645[/C][C]0.271334419968225[/C][/ROW]
[ROW][C]42[/C][C]0.693850911788856[/C][C]0.612298176422288[/C][C]0.306149088211144[/C][/ROW]
[ROW][C]43[/C][C]0.662379565143638[/C][C]0.675240869712724[/C][C]0.337620434856362[/C][/ROW]
[ROW][C]44[/C][C]0.666197868339904[/C][C]0.667604263320191[/C][C]0.333802131660096[/C][/ROW]
[ROW][C]45[/C][C]0.620311244419016[/C][C]0.759377511161968[/C][C]0.379688755580984[/C][/ROW]
[ROW][C]46[/C][C]0.578163683148233[/C][C]0.843672633703535[/C][C]0.421836316851767[/C][/ROW]
[ROW][C]47[/C][C]0.589480661422328[/C][C]0.821038677155344[/C][C]0.410519338577672[/C][/ROW]
[ROW][C]48[/C][C]0.57214457380288[/C][C]0.855710852394239[/C][C]0.42785542619712[/C][/ROW]
[ROW][C]49[/C][C]0.539134718554382[/C][C]0.921730562891237[/C][C]0.460865281445618[/C][/ROW]
[ROW][C]50[/C][C]0.497993953040686[/C][C]0.995987906081372[/C][C]0.502006046959314[/C][/ROW]
[ROW][C]51[/C][C]0.474872209008113[/C][C]0.949744418016226[/C][C]0.525127790991887[/C][/ROW]
[ROW][C]52[/C][C]0.439487314814599[/C][C]0.878974629629198[/C][C]0.560512685185401[/C][/ROW]
[ROW][C]53[/C][C]0.430469098814675[/C][C]0.86093819762935[/C][C]0.569530901185325[/C][/ROW]
[ROW][C]54[/C][C]0.394977101382264[/C][C]0.789954202764528[/C][C]0.605022898617736[/C][/ROW]
[ROW][C]55[/C][C]0.383014855129884[/C][C]0.766029710259769[/C][C]0.616985144870116[/C][/ROW]
[ROW][C]56[/C][C]0.341074054679003[/C][C]0.682148109358006[/C][C]0.658925945320997[/C][/ROW]
[ROW][C]57[/C][C]0.302930831692367[/C][C]0.605861663384733[/C][C]0.697069168307633[/C][/ROW]
[ROW][C]58[/C][C]0.26590366708667[/C][C]0.53180733417334[/C][C]0.73409633291333[/C][/ROW]
[ROW][C]59[/C][C]0.233851971942812[/C][C]0.467703943885624[/C][C]0.766148028057188[/C][/ROW]
[ROW][C]60[/C][C]0.203174569418603[/C][C]0.406349138837205[/C][C]0.796825430581397[/C][/ROW]
[ROW][C]61[/C][C]0.244639030956869[/C][C]0.489278061913737[/C][C]0.755360969043131[/C][/ROW]
[ROW][C]62[/C][C]0.218386291141857[/C][C]0.436772582283713[/C][C]0.781613708858143[/C][/ROW]
[ROW][C]63[/C][C]0.223889423551928[/C][C]0.447778847103855[/C][C]0.776110576448072[/C][/ROW]
[ROW][C]64[/C][C]0.194760186349836[/C][C]0.389520372699671[/C][C]0.805239813650164[/C][/ROW]
[ROW][C]65[/C][C]0.204622591259807[/C][C]0.409245182519613[/C][C]0.795377408740193[/C][/ROW]
[ROW][C]66[/C][C]0.181899329888928[/C][C]0.363798659777855[/C][C]0.818100670111072[/C][/ROW]
[ROW][C]67[/C][C]0.164517339251962[/C][C]0.329034678503924[/C][C]0.835482660748038[/C][/ROW]
[ROW][C]68[/C][C]0.169408824112148[/C][C]0.338817648224296[/C][C]0.830591175887852[/C][/ROW]
[ROW][C]69[/C][C]0.152736861736237[/C][C]0.305473723472474[/C][C]0.847263138263763[/C][/ROW]
[ROW][C]70[/C][C]0.16479769768644[/C][C]0.329595395372879[/C][C]0.83520230231356[/C][/ROW]
[ROW][C]71[/C][C]0.188390951379571[/C][C]0.376781902759142[/C][C]0.81160904862043[/C][/ROW]
[ROW][C]72[/C][C]0.336198374886855[/C][C]0.672396749773711[/C][C]0.663801625113145[/C][/ROW]
[ROW][C]73[/C][C]0.352425093592193[/C][C]0.704850187184387[/C][C]0.647574906407807[/C][/ROW]
[ROW][C]74[/C][C]0.36868773232783[/C][C]0.737375464655661[/C][C]0.63131226767217[/C][/ROW]
[ROW][C]75[/C][C]0.341118191323507[/C][C]0.682236382647013[/C][C]0.658881808676493[/C][/ROW]
[ROW][C]76[/C][C]0.305634247223133[/C][C]0.611268494446266[/C][C]0.694365752776867[/C][/ROW]
[ROW][C]77[/C][C]0.400387489387828[/C][C]0.800774978775657[/C][C]0.599612510612172[/C][/ROW]
[ROW][C]78[/C][C]0.374911770554209[/C][C]0.749823541108417[/C][C]0.625088229445791[/C][/ROW]
[ROW][C]79[/C][C]0.346553184097639[/C][C]0.693106368195278[/C][C]0.653446815902361[/C][/ROW]
[ROW][C]80[/C][C]0.316614512259048[/C][C]0.633229024518096[/C][C]0.683385487740952[/C][/ROW]
[ROW][C]81[/C][C]0.354614682658933[/C][C]0.709229365317865[/C][C]0.645385317341067[/C][/ROW]
[ROW][C]82[/C][C]0.319802076587207[/C][C]0.639604153174414[/C][C]0.680197923412793[/C][/ROW]
[ROW][C]83[/C][C]0.303688689438961[/C][C]0.607377378877922[/C][C]0.696311310561039[/C][/ROW]
[ROW][C]84[/C][C]0.273262952047724[/C][C]0.546525904095448[/C][C]0.726737047952276[/C][/ROW]
[ROW][C]85[/C][C]0.283400786973538[/C][C]0.566801573947076[/C][C]0.716599213026462[/C][/ROW]
[ROW][C]86[/C][C]0.25515685005222[/C][C]0.51031370010444[/C][C]0.74484314994778[/C][/ROW]
[ROW][C]87[/C][C]0.242498984470049[/C][C]0.484997968940098[/C][C]0.757501015529951[/C][/ROW]
[ROW][C]88[/C][C]0.260496082798923[/C][C]0.520992165597846[/C][C]0.739503917201077[/C][/ROW]
[ROW][C]89[/C][C]0.290427423689116[/C][C]0.580854847378231[/C][C]0.709572576310884[/C][/ROW]
[ROW][C]90[/C][C]0.289326864809303[/C][C]0.578653729618606[/C][C]0.710673135190697[/C][/ROW]
[ROW][C]91[/C][C]0.278000258780691[/C][C]0.556000517561383[/C][C]0.721999741219309[/C][/ROW]
[ROW][C]92[/C][C]0.252680286921527[/C][C]0.505360573843054[/C][C]0.747319713078473[/C][/ROW]
[ROW][C]93[/C][C]0.23620143606661[/C][C]0.472402872133219[/C][C]0.76379856393339[/C][/ROW]
[ROW][C]94[/C][C]0.210489624926536[/C][C]0.420979249853072[/C][C]0.789510375073464[/C][/ROW]
[ROW][C]95[/C][C]0.185606604003273[/C][C]0.371213208006546[/C][C]0.814393395996727[/C][/ROW]
[ROW][C]96[/C][C]0.19072021018541[/C][C]0.38144042037082[/C][C]0.80927978981459[/C][/ROW]
[ROW][C]97[/C][C]0.172794530191383[/C][C]0.345589060382765[/C][C]0.827205469808617[/C][/ROW]
[ROW][C]98[/C][C]0.170599143050302[/C][C]0.341198286100603[/C][C]0.829400856949698[/C][/ROW]
[ROW][C]99[/C][C]0.155654304474906[/C][C]0.311308608949812[/C][C]0.844345695525094[/C][/ROW]
[ROW][C]100[/C][C]0.171876037937649[/C][C]0.343752075875299[/C][C]0.82812396206235[/C][/ROW]
[ROW][C]101[/C][C]0.182709333988264[/C][C]0.365418667976528[/C][C]0.817290666011736[/C][/ROW]
[ROW][C]102[/C][C]0.172963477454711[/C][C]0.345926954909421[/C][C]0.82703652254529[/C][/ROW]
[ROW][C]103[/C][C]0.173044036666518[/C][C]0.346088073333036[/C][C]0.826955963333482[/C][/ROW]
[ROW][C]104[/C][C]0.153832953859674[/C][C]0.307665907719348[/C][C]0.846167046140326[/C][/ROW]
[ROW][C]105[/C][C]0.134268238534198[/C][C]0.268536477068397[/C][C]0.865731761465802[/C][/ROW]
[ROW][C]106[/C][C]0.150337448355242[/C][C]0.300674896710485[/C][C]0.849662551644758[/C][/ROW]
[ROW][C]107[/C][C]0.131199732516397[/C][C]0.262399465032794[/C][C]0.868800267483603[/C][/ROW]
[ROW][C]108[/C][C]0.122170419682133[/C][C]0.244340839364265[/C][C]0.877829580317867[/C][/ROW]
[ROW][C]109[/C][C]0.126069560360606[/C][C]0.252139120721213[/C][C]0.873930439639394[/C][/ROW]
[ROW][C]110[/C][C]0.110766943393439[/C][C]0.221533886786879[/C][C]0.889233056606561[/C][/ROW]
[ROW][C]111[/C][C]0.101339495493486[/C][C]0.202678990986972[/C][C]0.898660504506514[/C][/ROW]
[ROW][C]112[/C][C]0.0981668247412852[/C][C]0.19633364948257[/C][C]0.901833175258715[/C][/ROW]
[ROW][C]113[/C][C]0.108146027860349[/C][C]0.216292055720699[/C][C]0.89185397213965[/C][/ROW]
[ROW][C]114[/C][C]0.108087199478046[/C][C]0.216174398956092[/C][C]0.891912800521954[/C][/ROW]
[ROW][C]115[/C][C]0.0931713665460533[/C][C]0.186342733092107[/C][C]0.906828633453947[/C][/ROW]
[ROW][C]116[/C][C]0.0836971460782597[/C][C]0.167394292156519[/C][C]0.91630285392174[/C][/ROW]
[ROW][C]117[/C][C]0.0765363766540844[/C][C]0.153072753308169[/C][C]0.923463623345916[/C][/ROW]
[ROW][C]118[/C][C]0.117801926106726[/C][C]0.235603852213451[/C][C]0.882198073893274[/C][/ROW]
[ROW][C]119[/C][C]0.110758149825354[/C][C]0.221516299650707[/C][C]0.889241850174646[/C][/ROW]
[ROW][C]120[/C][C]0.165720799722019[/C][C]0.331441599444038[/C][C]0.834279200277981[/C][/ROW]
[ROW][C]121[/C][C]0.29196975810255[/C][C]0.583939516205101[/C][C]0.70803024189745[/C][/ROW]
[ROW][C]122[/C][C]0.29849855439189[/C][C]0.59699710878378[/C][C]0.70150144560811[/C][/ROW]
[ROW][C]123[/C][C]0.305596666975536[/C][C]0.611193333951073[/C][C]0.694403333024464[/C][/ROW]
[ROW][C]124[/C][C]0.279607564932297[/C][C]0.559215129864594[/C][C]0.720392435067703[/C][/ROW]
[ROW][C]125[/C][C]0.311123872201744[/C][C]0.622247744403487[/C][C]0.688876127798256[/C][/ROW]
[ROW][C]126[/C][C]0.291501362493875[/C][C]0.58300272498775[/C][C]0.708498637506125[/C][/ROW]
[ROW][C]127[/C][C]0.282595759254549[/C][C]0.565191518509098[/C][C]0.717404240745451[/C][/ROW]
[ROW][C]128[/C][C]0.355935393762425[/C][C]0.71187078752485[/C][C]0.644064606237575[/C][/ROW]
[ROW][C]129[/C][C]0.338693640189761[/C][C]0.677387280379522[/C][C]0.661306359810239[/C][/ROW]
[ROW][C]130[/C][C]0.337965733879994[/C][C]0.675931467759989[/C][C]0.662034266120005[/C][/ROW]
[ROW][C]131[/C][C]0.343960875339184[/C][C]0.687921750678368[/C][C]0.656039124660816[/C][/ROW]
[ROW][C]132[/C][C]0.323317683371311[/C][C]0.646635366742622[/C][C]0.676682316628689[/C][/ROW]
[ROW][C]133[/C][C]0.302835779149581[/C][C]0.605671558299162[/C][C]0.697164220850419[/C][/ROW]
[ROW][C]134[/C][C]0.299600215397764[/C][C]0.599200430795528[/C][C]0.700399784602236[/C][/ROW]
[ROW][C]135[/C][C]0.384066641447413[/C][C]0.768133282894827[/C][C]0.615933358552587[/C][/ROW]
[ROW][C]136[/C][C]0.355748864436909[/C][C]0.711497728873818[/C][C]0.644251135563091[/C][/ROW]
[ROW][C]137[/C][C]0.393698019546391[/C][C]0.787396039092782[/C][C]0.606301980453609[/C][/ROW]
[ROW][C]138[/C][C]0.373506596932084[/C][C]0.747013193864168[/C][C]0.626493403067916[/C][/ROW]
[ROW][C]139[/C][C]0.346184574057508[/C][C]0.692369148115015[/C][C]0.653815425942492[/C][/ROW]
[ROW][C]140[/C][C]0.317689060699567[/C][C]0.635378121399135[/C][C]0.682310939300433[/C][/ROW]
[ROW][C]141[/C][C]0.315169858527015[/C][C]0.63033971705403[/C][C]0.684830141472985[/C][/ROW]
[ROW][C]142[/C][C]0.304862060578177[/C][C]0.609724121156354[/C][C]0.695137939421823[/C][/ROW]
[ROW][C]143[/C][C]0.294453937369018[/C][C]0.588907874738037[/C][C]0.705546062630982[/C][/ROW]
[ROW][C]144[/C][C]0.277590759942724[/C][C]0.555181519885449[/C][C]0.722409240057276[/C][/ROW]
[ROW][C]145[/C][C]0.322275011252204[/C][C]0.644550022504408[/C][C]0.677724988747796[/C][/ROW]
[ROW][C]146[/C][C]0.444298360917526[/C][C]0.888596721835052[/C][C]0.555701639082474[/C][/ROW]
[ROW][C]147[/C][C]0.445762234722749[/C][C]0.891524469445498[/C][C]0.554237765277251[/C][/ROW]
[ROW][C]148[/C][C]0.416346414662852[/C][C]0.832692829325704[/C][C]0.583653585337148[/C][/ROW]
[ROW][C]149[/C][C]0.477938955489634[/C][C]0.955877910979268[/C][C]0.522061044510366[/C][/ROW]
[ROW][C]150[/C][C]0.464883182322065[/C][C]0.929766364644131[/C][C]0.535116817677935[/C][/ROW]
[ROW][C]151[/C][C]0.447012909793721[/C][C]0.894025819587442[/C][C]0.552987090206279[/C][/ROW]
[ROW][C]152[/C][C]0.451082314893774[/C][C]0.902164629787548[/C][C]0.548917685106226[/C][/ROW]
[ROW][C]153[/C][C]0.514458245797911[/C][C]0.971083508404178[/C][C]0.485541754202089[/C][/ROW]
[ROW][C]154[/C][C]0.50938257258525[/C][C]0.9812348548295[/C][C]0.49061742741475[/C][/ROW]
[ROW][C]155[/C][C]0.618422838533744[/C][C]0.763154322932513[/C][C]0.381577161466256[/C][/ROW]
[ROW][C]156[/C][C]0.601570077314139[/C][C]0.796859845371723[/C][C]0.398429922685861[/C][/ROW]
[ROW][C]157[/C][C]0.601325211678563[/C][C]0.797349576642873[/C][C]0.398674788321437[/C][/ROW]
[ROW][C]158[/C][C]0.573990845938058[/C][C]0.852018308123885[/C][C]0.426009154061942[/C][/ROW]
[ROW][C]159[/C][C]0.5649525412015[/C][C]0.870094917597[/C][C]0.4350474587985[/C][/ROW]
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[ROW][C]306[/C][C]0.105556728132682[/C][C]0.211113456265364[/C][C]0.894443271867318[/C][/ROW]
[ROW][C]307[/C][C]0.0881121839791544[/C][C]0.176224367958309[/C][C]0.911887816020846[/C][/ROW]
[ROW][C]308[/C][C]0.0747311701677103[/C][C]0.149462340335421[/C][C]0.92526882983229[/C][/ROW]
[ROW][C]309[/C][C]0.0687754438154272[/C][C]0.137550887630854[/C][C]0.931224556184573[/C][/ROW]
[ROW][C]310[/C][C]0.0565919286857765[/C][C]0.113183857371553[/C][C]0.943408071314224[/C][/ROW]
[ROW][C]311[/C][C]0.0455799076745879[/C][C]0.0911598153491758[/C][C]0.954420092325412[/C][/ROW]
[ROW][C]312[/C][C]0.0470718421727814[/C][C]0.0941436843455627[/C][C]0.952928157827219[/C][/ROW]
[ROW][C]313[/C][C]0.0386793115673948[/C][C]0.0773586231347895[/C][C]0.961320688432605[/C][/ROW]
[ROW][C]314[/C][C]0.0316180816609676[/C][C]0.0632361633219352[/C][C]0.968381918339032[/C][/ROW]
[ROW][C]315[/C][C]0.0314312104408191[/C][C]0.0628624208816382[/C][C]0.96856878955918[/C][/ROW]
[ROW][C]316[/C][C]0.0275142000167816[/C][C]0.0550284000335631[/C][C]0.972485799983218[/C][/ROW]
[ROW][C]317[/C][C]0.0286738349207375[/C][C]0.0573476698414751[/C][C]0.971326165079263[/C][/ROW]
[ROW][C]318[/C][C]0.0228526750585307[/C][C]0.0457053501170614[/C][C]0.97714732494147[/C][/ROW]
[ROW][C]319[/C][C]0.0174838800778364[/C][C]0.0349677601556729[/C][C]0.982516119922164[/C][/ROW]
[ROW][C]320[/C][C]0.0393222949694624[/C][C]0.0786445899389249[/C][C]0.960677705030538[/C][/ROW]
[ROW][C]321[/C][C]0.0313508697051626[/C][C]0.0627017394103252[/C][C]0.968649130294837[/C][/ROW]
[ROW][C]322[/C][C]0.0572852357675871[/C][C]0.114570471535174[/C][C]0.942714764232413[/C][/ROW]
[ROW][C]323[/C][C]0.108935064092156[/C][C]0.217870128184311[/C][C]0.891064935907844[/C][/ROW]
[ROW][C]324[/C][C]0.893328289097911[/C][C]0.213343421804178[/C][C]0.106671710902089[/C][/ROW]
[ROW][C]325[/C][C]0.87517125054989[/C][C]0.24965749890022[/C][C]0.12482874945011[/C][/ROW]
[ROW][C]326[/C][C]0.937958456380153[/C][C]0.124083087239694[/C][C]0.0620415436198472[/C][/ROW]
[ROW][C]327[/C][C]0.941300588143022[/C][C]0.117398823713955[/C][C]0.0586994118569775[/C][/ROW]
[ROW][C]328[/C][C]0.937046455724632[/C][C]0.125907088550736[/C][C]0.0629535442753679[/C][/ROW]
[ROW][C]329[/C][C]0.936159474711325[/C][C]0.12768105057735[/C][C]0.063840525288675[/C][/ROW]
[ROW][C]330[/C][C]0.930142837328179[/C][C]0.139714325343642[/C][C]0.069857162671821[/C][/ROW]
[ROW][C]331[/C][C]0.923849672291634[/C][C]0.152300655416731[/C][C]0.0761503277083657[/C][/ROW]
[ROW][C]332[/C][C]0.902330762896018[/C][C]0.195338474207964[/C][C]0.0976692371039822[/C][/ROW]
[ROW][C]333[/C][C]0.874472781772964[/C][C]0.251054436454072[/C][C]0.125527218227036[/C][/ROW]
[ROW][C]334[/C][C]0.864280973193636[/C][C]0.271438053612728[/C][C]0.135719026806364[/C][/ROW]
[ROW][C]335[/C][C]0.835019558990413[/C][C]0.329960882019174[/C][C]0.164980441009587[/C][/ROW]
[ROW][C]336[/C][C]0.797494900374374[/C][C]0.405010199251252[/C][C]0.202505099625626[/C][/ROW]
[ROW][C]337[/C][C]0.776917784834175[/C][C]0.446164430331649[/C][C]0.223082215165825[/C][/ROW]
[ROW][C]338[/C][C]0.737070083144396[/C][C]0.525859833711208[/C][C]0.262929916855604[/C][/ROW]
[ROW][C]339[/C][C]0.733247414175371[/C][C]0.533505171649258[/C][C]0.266752585824629[/C][/ROW]
[ROW][C]340[/C][C]0.7359682675232[/C][C]0.528063464953601[/C][C]0.264031732476801[/C][/ROW]
[ROW][C]341[/C][C]0.753036405052107[/C][C]0.493927189895785[/C][C]0.246963594947893[/C][/ROW]
[ROW][C]342[/C][C]0.705327693864143[/C][C]0.589344612271714[/C][C]0.294672306135857[/C][/ROW]
[ROW][C]343[/C][C]0.645226988888221[/C][C]0.709546022223557[/C][C]0.354773011111779[/C][/ROW]
[ROW][C]344[/C][C]0.577200933424648[/C][C]0.845598133150703[/C][C]0.422799066575352[/C][/ROW]
[ROW][C]345[/C][C]0.50614230895437[/C][C]0.987715382091259[/C][C]0.49385769104563[/C][/ROW]
[ROW][C]346[/C][C]0.43850561873804[/C][C]0.87701123747608[/C][C]0.56149438126196[/C][/ROW]
[ROW][C]347[/C][C]0.370399738841559[/C][C]0.740799477683118[/C][C]0.629600261158441[/C][/ROW]
[ROW][C]348[/C][C]0.315672974406101[/C][C]0.631345948812202[/C][C]0.684327025593899[/C][/ROW]
[ROW][C]349[/C][C]0.350820224143564[/C][C]0.701640448287129[/C][C]0.649179775856436[/C][/ROW]
[ROW][C]350[/C][C]0.329666202257751[/C][C]0.659332404515502[/C][C]0.670333797742249[/C][/ROW]
[ROW][C]351[/C][C]0.284871121107651[/C][C]0.569742242215303[/C][C]0.715128878892349[/C][/ROW]
[ROW][C]352[/C][C]0.224599764736884[/C][C]0.449199529473768[/C][C]0.775400235263116[/C][/ROW]
[ROW][C]353[/C][C]0.267495022766331[/C][C]0.534990045532662[/C][C]0.73250497723367[/C][/ROW]
[ROW][C]354[/C][C]0.523550739646731[/C][C]0.952898520706537[/C][C]0.476449260353269[/C][/ROW]
[ROW][C]355[/C][C]0.51485284121657[/C][C]0.97029431756686[/C][C]0.48514715878343[/C][/ROW]
[ROW][C]356[/C][C]0.398242192298087[/C][C]0.796484384596174[/C][C]0.601757807701913[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=147076&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=147076&T=5

As an alternative you can also use a QR Code:  

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

Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
150.02329919398455470.04659838796910940.976700806015445
160.5618794118644390.8762411762711230.438120588135561
170.4227143738623340.8454287477246670.577285626137666
180.5169502288821550.966099542235690.483049771117845
190.4706228547018640.9412457094037290.529377145298136
200.3835362750847590.7670725501695190.616463724915241
210.4924749161791340.9849498323582680.507525083820866
220.6139087678445720.7721824643108550.386091232155428
230.5275237779341630.9449524441316740.472476222065837
240.4644820035650130.9289640071300250.535517996434987
250.4864027578594590.9728055157189180.513597242140541
260.5260149084146390.9479701831707220.473985091585361
270.6437030793755980.7125938412488040.356296920624402
280.655432652726760.689134694546480.34456734727324
290.6144537889405690.7710924221188630.385546211059431
300.6894268436216040.6211463127567930.310573156378396
310.7377804981656130.5244390036687730.262219501834387
320.6916903328590670.6166193342818650.308309667140933
330.714631602889280.5707367942214390.285368397110719
340.7014262807016010.5971474385967990.298573719298399
350.6514742607972960.6970514784054080.348525739202704
360.8180622892287320.3638754215425370.181937710771268
370.8688735210591360.2622529578817280.131126478940864
380.8366694373926050.326661125214790.163330562607395
390.8011157615255540.3977684769488910.198884238474446
400.7606043216093530.4787913567812940.239395678390647
410.7286655800317750.542668839936450.271334419968225
420.6938509117888560.6122981764222880.306149088211144
430.6623795651436380.6752408697127240.337620434856362
440.6661978683399040.6676042633201910.333802131660096
450.6203112444190160.7593775111619680.379688755580984
460.5781636831482330.8436726337035350.421836316851767
470.5894806614223280.8210386771553440.410519338577672
480.572144573802880.8557108523942390.42785542619712
490.5391347185543820.9217305628912370.460865281445618
500.4979939530406860.9959879060813720.502006046959314
510.4748722090081130.9497444180162260.525127790991887
520.4394873148145990.8789746296291980.560512685185401
530.4304690988146750.860938197629350.569530901185325
540.3949771013822640.7899542027645280.605022898617736
550.3830148551298840.7660297102597690.616985144870116
560.3410740546790030.6821481093580060.658925945320997
570.3029308316923670.6058616633847330.697069168307633
580.265903667086670.531807334173340.73409633291333
590.2338519719428120.4677039438856240.766148028057188
600.2031745694186030.4063491388372050.796825430581397
610.2446390309568690.4892780619137370.755360969043131
620.2183862911418570.4367725822837130.781613708858143
630.2238894235519280.4477788471038550.776110576448072
640.1947601863498360.3895203726996710.805239813650164
650.2046225912598070.4092451825196130.795377408740193
660.1818993298889280.3637986597778550.818100670111072
670.1645173392519620.3290346785039240.835482660748038
680.1694088241121480.3388176482242960.830591175887852
690.1527368617362370.3054737234724740.847263138263763
700.164797697686440.3295953953728790.83520230231356
710.1883909513795710.3767819027591420.81160904862043
720.3361983748868550.6723967497737110.663801625113145
730.3524250935921930.7048501871843870.647574906407807
740.368687732327830.7373754646556610.63131226767217
750.3411181913235070.6822363826470130.658881808676493
760.3056342472231330.6112684944462660.694365752776867
770.4003874893878280.8007749787756570.599612510612172
780.3749117705542090.7498235411084170.625088229445791
790.3465531840976390.6931063681952780.653446815902361
800.3166145122590480.6332290245180960.683385487740952
810.3546146826589330.7092293653178650.645385317341067
820.3198020765872070.6396041531744140.680197923412793
830.3036886894389610.6073773788779220.696311310561039
840.2732629520477240.5465259040954480.726737047952276
850.2834007869735380.5668015739470760.716599213026462
860.255156850052220.510313700104440.74484314994778
870.2424989844700490.4849979689400980.757501015529951
880.2604960827989230.5209921655978460.739503917201077
890.2904274236891160.5808548473782310.709572576310884
900.2893268648093030.5786537296186060.710673135190697
910.2780002587806910.5560005175613830.721999741219309
920.2526802869215270.5053605738430540.747319713078473
930.236201436066610.4724028721332190.76379856393339
940.2104896249265360.4209792498530720.789510375073464
950.1856066040032730.3712132080065460.814393395996727
960.190720210185410.381440420370820.80927978981459
970.1727945301913830.3455890603827650.827205469808617
980.1705991430503020.3411982861006030.829400856949698
990.1556543044749060.3113086089498120.844345695525094
1000.1718760379376490.3437520758752990.82812396206235
1010.1827093339882640.3654186679765280.817290666011736
1020.1729634774547110.3459269549094210.82703652254529
1030.1730440366665180.3460880733330360.826955963333482
1040.1538329538596740.3076659077193480.846167046140326
1050.1342682385341980.2685364770683970.865731761465802
1060.1503374483552420.3006748967104850.849662551644758
1070.1311997325163970.2623994650327940.868800267483603
1080.1221704196821330.2443408393642650.877829580317867
1090.1260695603606060.2521391207212130.873930439639394
1100.1107669433934390.2215338867868790.889233056606561
1110.1013394954934860.2026789909869720.898660504506514
1120.09816682474128520.196333649482570.901833175258715
1130.1081460278603490.2162920557206990.89185397213965
1140.1080871994780460.2161743989560920.891912800521954
1150.09317136654605330.1863427330921070.906828633453947
1160.08369714607825970.1673942921565190.91630285392174
1170.07653637665408440.1530727533081690.923463623345916
1180.1178019261067260.2356038522134510.882198073893274
1190.1107581498253540.2215162996507070.889241850174646
1200.1657207997220190.3314415994440380.834279200277981
1210.291969758102550.5839395162051010.70803024189745
1220.298498554391890.596997108783780.70150144560811
1230.3055966669755360.6111933339510730.694403333024464
1240.2796075649322970.5592151298645940.720392435067703
1250.3111238722017440.6222477444034870.688876127798256
1260.2915013624938750.583002724987750.708498637506125
1270.2825957592545490.5651915185090980.717404240745451
1280.3559353937624250.711870787524850.644064606237575
1290.3386936401897610.6773872803795220.661306359810239
1300.3379657338799940.6759314677599890.662034266120005
1310.3439608753391840.6879217506783680.656039124660816
1320.3233176833713110.6466353667426220.676682316628689
1330.3028357791495810.6056715582991620.697164220850419
1340.2996002153977640.5992004307955280.700399784602236
1350.3840666414474130.7681332828948270.615933358552587
1360.3557488644369090.7114977288738180.644251135563091
1370.3936980195463910.7873960390927820.606301980453609
1380.3735065969320840.7470131938641680.626493403067916
1390.3461845740575080.6923691481150150.653815425942492
1400.3176890606995670.6353781213991350.682310939300433
1410.3151698585270150.630339717054030.684830141472985
1420.3048620605781770.6097241211563540.695137939421823
1430.2944539373690180.5889078747380370.705546062630982
1440.2775907599427240.5551815198854490.722409240057276
1450.3222750112522040.6445500225044080.677724988747796
1460.4442983609175260.8885967218350520.555701639082474
1470.4457622347227490.8915244694454980.554237765277251
1480.4163464146628520.8326928293257040.583653585337148
1490.4779389554896340.9558779109792680.522061044510366
1500.4648831823220650.9297663646441310.535116817677935
1510.4470129097937210.8940258195874420.552987090206279
1520.4510823148937740.9021646297875480.548917685106226
1530.5144582457979110.9710835084041780.485541754202089
1540.509382572585250.98123485482950.49061742741475
1550.6184228385337440.7631543229325130.381577161466256
1560.6015700773141390.7968598453717230.398429922685861
1570.6013252116785630.7973495766428730.398674788321437
1580.5739908459380580.8520183081238850.426009154061942
1590.56495254120150.8700949175970.4350474587985
1600.5351690625450150.929661874909970.464830937454985
1610.569061327734250.86187734453150.43093867226575
1620.5627160366720980.8745679266558040.437283963327902
1630.5606646439902150.878670712019570.439335356009785
1640.5660062859427340.8679874281145320.433993714057266
1650.535983281057210.9280334378855790.464016718942789
1660.5223716374386580.9552567251226840.477628362561342
1670.4972625064308570.9945250128617140.502737493569143
1680.4835953785053880.9671907570107750.516404621494612
1690.4922185317690740.9844370635381470.507781468230927
1700.4661516557921450.932303311584290.533848344207855
1710.4427292332031110.8854584664062220.557270766796889
1720.4677866453903860.9355732907807710.532213354609614
1730.6240309060862150.751938187827570.375969093913785
1740.6216261170643390.7567477658713230.378373882935661
1750.6599687624046920.6800624751906170.340031237595308
1760.6608093583737420.6783812832525160.339190641626258
1770.6354211941157910.7291576117684180.364578805884209
1780.6538302983783210.6923394032433590.346169701621679
1790.6286508212829410.7426983574341180.371349178717059
1800.6111543560491070.7776912879017870.388845643950893
1810.5956574571108830.8086850857782340.404342542889117
1820.5960758070505930.8078483858988140.403924192949407
1830.5710423146759540.8579153706480920.428957685324046
1840.5601794408387170.8796411183225670.439820559161283
1850.6212341467760680.7575317064478640.378765853223932
1860.6200143032956640.7599713934086710.379985696704336
1870.5943283168103330.8113433663793340.405671683189667
1880.5740185313547210.8519629372905580.425981468645279
1890.5482246308322160.9035507383355690.451775369167784
1900.5619913641334360.8760172717331280.438008635866564
1910.5408174125701520.9183651748596950.459182587429848
1920.5117683468646310.9764633062707370.488231653135369
1930.4978772463704450.995754492740890.502122753629555
1940.4692144261736360.9384288523472730.530785573826364
1950.4412151608927090.8824303217854190.558784839107291
1960.4188152059169470.8376304118338930.581184794083053
1970.485637817691410.971275635382820.51436218230859
1980.6506759435717220.6986481128565570.349324056428279
1990.6447091315231840.7105817369536310.355290868476816
2000.6266403262221820.7467193475556350.373359673777817
2010.6030504638795120.7938990722409770.396949536120488
2020.5817065748431180.8365868503137650.418293425156882
2030.5587179216795660.8825641566408680.441282078320434
2040.5626461590437140.8747076819125730.437353840956286
2050.5451361609691680.9097276780616650.454863839030832
2060.5543957703952750.891208459209450.445604229604725
2070.5531488282993460.8937023434013080.446851171700654
2080.5265992594253470.9468014811493050.473400740574653
2090.5724923128549070.8550153742901870.427507687145093
2100.6419608555306080.7160782889387840.358039144469392
2110.6148242023485610.7703515953028780.385175797651439
2120.6044539390122230.7910921219755540.395546060987777
2130.5751125626708440.8497748746583120.424887437329156
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3000.1765022101355050.353004420271010.823497789864495
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3170.02867383492073750.05734766984147510.971326165079263
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3560.3982421922980870.7964843845961740.601757807701913







Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level30.0087719298245614OK
10% type I error level120.0350877192982456OK

\begin{tabular}{lllllllll}
\hline
Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
Description & # significant tests & % significant tests & OK/NOK \tabularnewline
1% type I error level & 0 & 0 & OK \tabularnewline
5% type I error level & 3 & 0.0087719298245614 & OK \tabularnewline
10% type I error level & 12 & 0.0350877192982456 & OK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=147076&T=6

[TABLE]
[ROW][C]Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity[/C][/ROW]
[ROW][C]Description[/C][C]# significant tests[/C][C]% significant tests[/C][C]OK/NOK[/C][/ROW]
[ROW][C]1% type I error level[/C][C]0[/C][C]0[/C][C]OK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]3[/C][C]0.0087719298245614[/C][C]OK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]12[/C][C]0.0350877192982456[/C][C]OK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=147076&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=147076&T=6

As an alternative you can also use a QR Code:  

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

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level30.0087719298245614OK
10% type I error level120.0350877192982456OK



Parameters (Session):
par1 = 1 ; par2 = Include Monthly Dummies ; par3 = No Linear Trend ;
Parameters (R input):
par1 = 1 ; par2 = Include Monthly 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$coefficients[i,1] > 0) myeq <- paste(myeq, '+', '')
myeq <- paste(myeq, mysum$coefficients[i,1], 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,mysum$coefficients[i,1])
a<-table.element(a, round(mysum$coefficients[i,2],6))
a<-table.element(a, round(mysum$coefficients[i,3],4))
a<-table.element(a, round(mysum$coefficients[i,4],6))
a<-table.element(a, round(mysum$coefficients[i,4]/2,6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable2.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Regression Statistics', 2, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Multiple R',1,TRUE)
a<-table.element(a, sqrt(mysum$r.squared))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'R-squared',1,TRUE)
a<-table.element(a, mysum$r.squared)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Adjusted R-squared',1,TRUE)
a<-table.element(a, mysum$adj.r.squared)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (value)',1,TRUE)
a<-table.element(a, mysum$fstatistic[1])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (DF numerator)',1,TRUE)
a<-table.element(a, mysum$fstatistic[2])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (DF denominator)',1,TRUE)
a<-table.element(a, mysum$fstatistic[3])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'p-value',1,TRUE)
a<-table.element(a, 1-pf(mysum$fstatistic[1],mysum$fstatistic[2],mysum$fstatistic[3]))
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, mysum$sigma)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Sum Squared Residuals',1,TRUE)
a<-table.element(a, sum(myerror*myerror))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable3.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Actuals, Interpolation, and Residuals', 4, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Time or Index', 1, TRUE)
a<-table.element(a, 'Actuals', 1, TRUE)
a<-table.element(a, 'Interpolation
Forecast', 1, TRUE)
a<-table.element(a, 'Residuals
Prediction Error', 1, TRUE)
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,i, 1, TRUE)
a<-table.element(a,x[i])
a<-table.element(a,x[i]-mysum$resid[i])
a<-table.element(a,mysum$resid[i])
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,gqarr[mypoint-kp3+1,1])
a<-table.element(a,gqarr[mypoint-kp3+1,2])
a<-table.element(a,gqarr[mypoint-kp3+1,3])
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,numsignificant1)
a<-table.element(a,numsignificant1/numgqtests)
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,numsignificant5)
a<-table.element(a,numsignificant5/numgqtests)
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,numsignificant10)
a<-table.element(a,numsignificant10/numgqtests)
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')
}