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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 11:56:50 -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/t1322153943eos28nd9iv05reu.htm/, Retrieved Thu, 28 Mar 2024 23:35:10 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=147093, Retrieved Thu, 28 Mar 2024 23:35:10 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact53
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Multiple Regression] [] [2011-11-24 16:56:50] [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'Gertrude Mary Cox' @ cox.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 & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=147093&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]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=147093&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=147093&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'Gertrude Mary Cox' @ cox.wessa.net







Multiple Linear Regression - Estimated Regression Equation
y[t] = -74.2923884514436 + 64.4159961053255M1[t] + 96.5806248412497M2[t] + 113.235576157819M3[t] + 94.8518177969689M4[t] + 1.58741427482855M5[t] + 97.0843010752688M6[t] + 105.458607230548M7[t] + 91.4200101600203M8[t] + 89.7556066378799M9[t] + 52.2428160189654M10[t] + 71.8461544323089M11[t] -0.000112606891880455t + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
y[t] =  -74.2923884514436 +  64.4159961053255M1[t] +  96.5806248412497M2[t] +  113.235576157819M3[t] +  94.8518177969689M4[t] +  1.58741427482855M5[t] +  97.0843010752688M6[t] +  105.458607230548M7[t] +  91.4200101600203M8[t] +  89.7556066378799M9[t] +  52.2428160189654M10[t] +  71.8461544323089M11[t] -0.000112606891880455t  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=147093&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]y[t] =  -74.2923884514436 +  64.4159961053255M1[t] +  96.5806248412497M2[t] +  113.235576157819M3[t] +  94.8518177969689M4[t] +  1.58741427482855M5[t] +  97.0843010752688M6[t] +  105.458607230548M7[t] +  91.4200101600203M8[t] +  89.7556066378799M9[t] +  52.2428160189654M10[t] +  71.8461544323089M11[t] -0.000112606891880455t  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=147093&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=147093&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] = -74.2923884514436 + 64.4159961053255M1[t] + 96.5806248412497M2[t] + 113.235576157819M3[t] + 94.8518177969689M4[t] + 1.58741427482855M5[t] + 97.0843010752688M6[t] + 105.458607230548M7[t] + 91.4200101600203M8[t] + 89.7556066378799M9[t] + 52.2428160189654M10[t] + 71.8461544323089M11[t] -0.000112606891880455t + e[t]







Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)-74.29238845144364.822622-15.40500
M164.41599610532556.06540810.620200
M296.58062484124976.0653115.923400
M3113.2355761578196.06523418.669600
M494.85181779696896.0651815.638700
M51.587414274828556.0651470.26170.7936820.396841
M697.08430107526886.06513616.006900
M7105.4586072305486.06514717.387600
M891.42001016002036.0651815.072900
M989.75560663787996.06523414.798400
M1052.24281601896546.065318.613400
M1171.84615443230896.06540811.845200
t-0.0001126068918804550.011485-0.00980.9921820.496091

\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) & -74.2923884514436 & 4.822622 & -15.405 & 0 & 0 \tabularnewline
M1 & 64.4159961053255 & 6.065408 & 10.6202 & 0 & 0 \tabularnewline
M2 & 96.5806248412497 & 6.06531 & 15.9234 & 0 & 0 \tabularnewline
M3 & 113.235576157819 & 6.065234 & 18.6696 & 0 & 0 \tabularnewline
M4 & 94.8518177969689 & 6.06518 & 15.6387 & 0 & 0 \tabularnewline
M5 & 1.58741427482855 & 6.065147 & 0.2617 & 0.793682 & 0.396841 \tabularnewline
M6 & 97.0843010752688 & 6.065136 & 16.0069 & 0 & 0 \tabularnewline
M7 & 105.458607230548 & 6.065147 & 17.3876 & 0 & 0 \tabularnewline
M8 & 91.4200101600203 & 6.06518 & 15.0729 & 0 & 0 \tabularnewline
M9 & 89.7556066378799 & 6.065234 & 14.7984 & 0 & 0 \tabularnewline
M10 & 52.2428160189654 & 6.06531 & 8.6134 & 0 & 0 \tabularnewline
M11 & 71.8461544323089 & 6.065408 & 11.8452 & 0 & 0 \tabularnewline
t & -0.000112606891880455 & 0.011485 & -0.0098 & 0.992182 & 0.496091 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=147093&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]-74.2923884514436[/C][C]4.822622[/C][C]-15.405[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]M1[/C][C]64.4159961053255[/C][C]6.065408[/C][C]10.6202[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]M2[/C][C]96.5806248412497[/C][C]6.06531[/C][C]15.9234[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]M3[/C][C]113.235576157819[/C][C]6.065234[/C][C]18.6696[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]M4[/C][C]94.8518177969689[/C][C]6.06518[/C][C]15.6387[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]M5[/C][C]1.58741427482855[/C][C]6.065147[/C][C]0.2617[/C][C]0.793682[/C][C]0.396841[/C][/ROW]
[ROW][C]M6[/C][C]97.0843010752688[/C][C]6.065136[/C][C]16.0069[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]M7[/C][C]105.458607230548[/C][C]6.065147[/C][C]17.3876[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]M8[/C][C]91.4200101600203[/C][C]6.06518[/C][C]15.0729[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]M9[/C][C]89.7556066378799[/C][C]6.065234[/C][C]14.7984[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]M10[/C][C]52.2428160189654[/C][C]6.06531[/C][C]8.6134[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]M11[/C][C]71.8461544323089[/C][C]6.065408[/C][C]11.8452[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]t[/C][C]-0.000112606891880455[/C][C]0.011485[/C][C]-0.0098[/C][C]0.992182[/C][C]0.496091[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=147093&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=147093&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)-74.29238845144364.822622-15.40500
M164.41599610532556.06540810.620200
M296.58062484124976.0653115.923400
M3113.2355761578196.06523418.669600
M494.85181779696896.0651815.638700
M51.587414274828556.0651470.26170.7936820.396841
M697.08430107526886.06513616.006900
M7105.4586072305486.06514717.387600
M891.42001016002036.0651815.072900
M989.75560663787996.06523414.798400
M1052.24281601896546.065318.613400
M1171.84615443230896.06540811.845200
t-0.0001126068918804550.011485-0.00980.9921820.496091







Multiple Linear Regression - Regression Statistics
Multiple R0.841137954501946
R-squared0.707513058503718
Adjusted R-squared0.697709026945184
F-TEST (value)72.165522344511
F-TEST (DF numerator)12
F-TEST (DF denominator)358
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation23.6819316670133
Sum Squared Residuals200778.531718229

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.841137954501946 \tabularnewline
R-squared & 0.707513058503718 \tabularnewline
Adjusted R-squared & 0.697709026945184 \tabularnewline
F-TEST (value) & 72.165522344511 \tabularnewline
F-TEST (DF numerator) & 12 \tabularnewline
F-TEST (DF denominator) & 358 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 23.6819316670133 \tabularnewline
Sum Squared Residuals & 200778.531718229 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=147093&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.841137954501946[/C][/ROW]
[ROW][C]R-squared[/C][C]0.707513058503718[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.697709026945184[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]72.165522344511[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]12[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]358[/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]23.6819316670133[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]200778.531718229[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=147093&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=147093&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 R0.841137954501946
R-squared0.707513058503718
Adjusted R-squared0.697709026945184
F-TEST (value)72.165522344511
F-TEST (DF numerator)12
F-TEST (DF denominator)358
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation23.6819316670133
Sum Squared Residuals200778.531718229







Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
1-45.6-9.87650495300985-35.7234950469902
216.122.2880111760224-6.18801117602236
323.938.9428498856998-15.0428498856998
439.320.558978917957818.7410210820422
5-39.4-72.705537211074533.3055372110745
6-0.322.7912369824739-23.0912369824739
717.331.165430530861-13.865430530861
817.717.12672085344170.573279146558254
931.415.462204724409415.9377952755906
10-28.6-22.050698501397-6.549301498603
11-17.2-2.44747269494538-14.7525273050546
12-79-74.2937397341461-4.70626026585393
13-47.9-9.87785623571246-38.0221437642875
149.122.2866598933198-13.1866598933198
1510.638.9414986029972-28.3414986029972
16-23.920.5576276352553-44.4576276352553
17-45-72.70688849377727.706888493777
18-42.222.7898856997714-64.9898856997714
1943.231.164079248158512.0359207518415
2032.117.125369570739114.9746304292609
21-15.315.4608534417069-30.7608534417069
2221.8-22.052049784099643.8520497840996
23-12-2.44882397764795-9.55117602235205
24-95.8-74.2950910168487-21.5049089831513
25-14.3-9.87920751841504-4.42079248158496
2647.822.285308610617225.5146913893828
2764.838.940147320294625.8598526797054
2840.220.556276352552719.6437236474473
29-28.8-72.708239776479643.9082397764796
3023.522.78853441706880.711465582931162
3170.331.162727965455939.1372720345441
3212.317.1240182880366-4.82401828803657
3343.515.459502159004328.0404978409957
34-30.1-22.0534010668021-8.04659893319787
35-5.3-2.45017526035052-2.84982473964948
36-24-74.296442299551350.2964422995513
3711.1-9.880558801117620.9805588011176
3821.522.2839573279147-0.783957327914657
3938.538.9387960375921-0.438796037592075
4016.820.5549250698501-3.75492506985014
41-36.2-72.709591059182136.5095910591821
42622.7871831343663-16.7871831343663
4326.631.1613766827534-4.56137668275337
44-817.122667005334-25.122667005334
4513.215.4581508763018-2.25815087630176
46-23.6-22.0547523495047-1.54524765049531
4719.4-2.4515265430530921.8515265430531
48-46.2-74.297793582253828.0977935822538
49-8.2-9.881910083820171.68191008382017
5033.822.282606045212111.5173939547879
5116.638.9374447548895-22.3374447548895
525.420.5535737871476-15.1535737871476
53-25-72.710942341884747.7109423418847
54-5.322.7858318516637-28.0858318516637
5516.731.1600254000508-14.4600254000508
561917.12131572263141.87868427736856
5724.815.45679959359929.34320040640081
58-11.4-22.056103632207310.6561036322073
594.9-2.452877825755647.35287782575564
60-58.7-74.299144864956415.5991448649564
6116.8-9.8832613665227326.6832613665227
6213.622.2812547625095-8.68125476250953
636.438.9360934721869-32.5360934721869
6422.820.5522225044452.24777749555499
65-19.6-72.712293624587353.1122936245873
662.222.7844805689611-20.5844805689611
6719.831.1586741173482-11.3586741173482
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694.715.4554483108966-10.7554483108966
70-44.5-22.0574549149098-22.4425450850902
71-34.7-2.45422910845821-32.2457708915418
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74-5.422.279903479807-27.679903479807
7519.138.9347421894844-19.8347421894844
7618.820.5508712217424-1.75087122174245
77-2.3-72.713644907289870.4136449072898
780.222.7831292862586-22.5831292862586
7920.931.1573228346457-10.2573228346457
803.717.1186131572263-13.4186131572263
8150.415.454097028194134.9459029718059
82-18.6-22.05880619761243.45880619761239
8310.6-2.4555803911607813.0555803911608
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8510-9.8859639319278619.8859639319279
8627.222.27855219710444.92144780289561
8713.538.9333909067818-25.4333909067818
8847.220.549519939039926.6504800609601
89-20.3-72.714996189992452.4149961899924
9023.122.7817780035560.31822199644399
9112.631.1559715519431-18.5559715519431
9219.817.11726187452372.68273812547626
935.415.4527457454915-10.0527457454915
94-25.2-22.060157480315-3.13984251968504
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97-2.6-9.887315214630437.28731521463043
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9938.538.9320396240793-0.432039624079249
100-8.920.5481686563373-29.4481686563373
101-38-72.716347472694934.7163474726949
10219.522.7804267208534-3.28042672085345
10351.731.154620269240520.5453797307595
10419.417.11591059182122.28408940817882
10518.215.45139446278892.74860553721107
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19877.822.769616459232955.0303835407671
19912.431.14381000762-18.74381000762
20028.917.105100330200711.7948996697993
2016.415.4405842011684-9.04058420116841
202-12-22.07231902463810.072319024638
203-9.1-2.46909321818644-6.63090678181356
204-53.2-74.315360257387221.1153602573872
205-23.1-9.89947675895352-13.2005232410465
20647.322.265039370078725.0349606299213
20720.738.9198780797562-18.2198780797562
20827.820.53600711201427.26399288798577
209-84.3-72.728509017018-11.571490982982
21062.822.768265176530340.0317348234697
21126.431.1424587249175-4.74245872491745
21232.317.103749047498115.1962509525019
21313.315.4392329184658-2.13923291846584
214-17.9-22.07367030734064.17367030734062
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216-45.6-74.316711540089728.7167115400897
21713.5-9.9008280416560823.4008280416561
21811.922.2636880873762-10.3636880873762
2192638.9185267970536-12.9185267970536
220-6.320.5346558293117-26.8346558293117
221-79.9-72.7298602997206-7.17013970027941
22254.222.766913893827831.4330861061722
22322.931.1411074422149-8.24110744221489
22431.817.102397764795514.6976022352045
2253.815.4378816357633-11.6378816357633
226-11.4-22.075021590043210.6750215900432
227-8.6-2.47179578359157-6.12820421640843
228-49.4-74.318062822792324.9180628227923
229-2.5-9.902179324358657.40217932435865
2302322.26233680467360.73766319532639
2312938.917175514351-9.91717551435103
23220.620.53330454660910.0666954533909062
233-117-72.7312115824232-44.2687884175768
23437.922.765562611125215.1344373888748
23530.731.1397561595123-0.43975615951232
2364.717.101046482093-12.401046482093
237-5.715.4365303530607-21.1365303530607
2384.9-22.076372872745726.9763728727457
23918.3-2.4731470662941320.7731470662941
240-35.4-74.319414105494938.9194141054949
241-21.3-9.90353060706122-11.3964693929388
24235.822.26098552197113.539014478029
24343.838.91582423164854.88417576835153
24418.720.5319532639065-1.83195326390653
245-131.1-72.7325628651258-58.3674371348742
24639.822.764211328422717.0357886715773
24744.531.138404876809813.3615951231902
24816.517.0996951993904-0.599695199390395
2499.715.4351790703581-5.73517907035814
250-6.6-22.077724155448315.4777241554483
25115.8-2.474498348996718.2744983489967
252-45.7-74.320765388197428.6207653881974
253-4.8-9.904881889763785.10488188976378
25417.622.2596342392685-4.65963423926848
25520.538.9144729489459-18.4144729489459
25624.220.5306019812043.66939801879603
257-109-72.7339141478283-36.2660858521717
25820.822.7628600457201-1.96286004572009
25931.231.13705359410720.0629464058928114
260-8.817.0983439166878-25.8983439166878
26111.815.4338277876556-3.63382778765558
26213-22.079075438150935.0790754381509
2638.3-2.4758496316992610.7758496316993
264-77.9-74.3221166709-3.5778833291
265-38.8-9.90623317246634-28.8937668275337
2666.122.2582829565659-16.1582829565659
26718.138.9131216662433-20.8131216662433
26816.820.5292506985014-3.7292506985014
269-128.5-72.7352654305309-55.7647345694691
27015.922.7615087630175-6.86150876301753
2712931.1357023114046-2.13570231140463
272-7.217.0969926339853-24.2969926339853
2733.315.432476504953-12.132476504953
274-34.8-22.0804267208534-12.7195732791466
275-2.9-2.47720091440183-0.422799085598174
276-77.8-74.3234679536026-3.47653204639742
277-2.8-9.907584455168927.10758445516892
27826.722.25693167386334.44306832613665
27948.138.91177038354089.18822961645923
2803020.52789941579889.47210058420116
281-109.6-72.7366167132334-36.8633832867666
2821622.760157480315-6.76015748031496
28326.931.1343510287021-4.23435102870206
28422.117.09564135128275.0043586487173
2852715.431125222250511.5688747777495
286-24.5-22.081778003556-2.41822199644399
28712-2.478552197104414.4785521971044
288-75.2-74.3248192363051-0.875180763694863
2893.5-9.9089357378714813.4089357378715
29019.722.2555803911608-2.55558039116078
29151.838.910419100838212.8895808991618
29235.320.526548133096314.7734518669037
293-108.2-72.737967995936-35.462032004064
29425.322.75880619761242.5411938023876
29531.631.13299974599950.467000254000506
29619.917.09429006858012.80570993141986
29718.815.42977393954793.37022606045212
29820.4-22.083129286258642.4831292862586
29915-2.4799034798069617.479903479807
300-55.9-74.326170519007718.4261705190077
301-17-9.91028702057404-7.08971297942596
30233.322.254229108458211.0457708915418
30333.838.9090678181356-5.10906781813564
30437.520.525196850393716.9748031496063
305-104.8-72.7393192786386-32.0606807213614
30629.722.75745491490986.94254508509016
30734.231.13164846329693.06835153670307
3084.317.0929387858776-12.7929387858776
30940.215.428422656845324.7715773431547
310-29.3-22.0844805689611-7.21551943103886
311-0.2-2.481254762509532.28125476250952
312-95-74.3275218017103-20.6724781982897
313-13.2-9.91163830327661-3.28836169672339
31438.522.252877825755616.2471221742444
31545.438.90771653543316.49228346456693
31615.720.5238455676911-4.82384556769114
317-123.6-72.7406705613411-50.8593294386589
3181222.7561036322073-10.7561036322073
31937.531.13029718059446.36970281940564
320-31.717.091587503175-48.791587503175
32115.815.42707137414270.372928625857252
322-64.1-22.0858318516637-42.0141681483363
323-42.1-2.48260604521209-39.6173939547879
324-207.4-74.3288730844129-133.071126915587
325-12.9-9.91298958597918-2.98701041402082
326-522.2515265430531-27.2515265430531
32753.938.906365252730514.9936347472695
32819.720.5224942849886-0.822494284988573
329-94.6-72.7420218440437-21.8579781559563
3303622.754752349504713.2452476504953
33151.331.128945897891820.1710541021082
33217.417.09023622047240.309763779527561
33327.815.425720091440212.3742799085598
3341.3-22.087183134366323.3871831343663
3353.6-2.483957327914656.08395732791465
336-97.9-74.3302243671154-23.5697756328846
33714.1-9.9143408686817424.0143408686817
33850.822.250175260350528.5498247396495
33963.538.905013970027924.5949860299721
34058.620.52114300228638.078856997714
341-135.1-72.7433731267462-62.3566268732538
3427.822.7534010668021-14.9534010668021
34325.531.1275946151892-5.62759461518923
34429.617.088884937769912.5111150622301
34519.315.42436880873763.87563119126239
346-26.2-22.0885344170688-4.11146558293116
3477.3-2.485308610617229.78530861061722
348-82.6-74.331575649818-8.26842435018203
349-26.1-9.91569215138431-16.1843078486157
35055.322.24882397764833.051176022352
35198.838.903662687325459.8963373126746
35241.720.519791719583421.1802082804166
353-130.2-72.7447244094488-57.4552755905511
35451.222.752049784099628.4479502159004
35518.431.1262433324867-12.7262433324867
3563217.087533655067314.9124663449327
35721.615.42301752603516.17698247396495
358-12.5-22.08988569977149.5898856997714
35946.6-2.4866598933197849.0866598933198
360-101.7-74.3329269325205-27.3670730674795
36115.8-9.9170434340868725.7170434340869
3622622.24747269494543.75252730505461
36379.138.902311404622840.1976885953772
36423.120.51844043688092.58155956311913
365-86.9-72.7460756921514-14.1539243078486
366-11.222.750698501397-33.950698501397
36750.731.124892049784119.5751079502159
36813.417.0861823723647-3.68618237236474
36933.715.421666243332518.2783337566675
370-16.9-22.0912369824745.19123698247397
371-9.6-2.48801117602235-7.11198882397765

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & -45.6 & -9.87650495300985 & -35.7234950469902 \tabularnewline
2 & 16.1 & 22.2880111760224 & -6.18801117602236 \tabularnewline
3 & 23.9 & 38.9428498856998 & -15.0428498856998 \tabularnewline
4 & 39.3 & 20.5589789179578 & 18.7410210820422 \tabularnewline
5 & -39.4 & -72.7055372110745 & 33.3055372110745 \tabularnewline
6 & -0.3 & 22.7912369824739 & -23.0912369824739 \tabularnewline
7 & 17.3 & 31.165430530861 & -13.865430530861 \tabularnewline
8 & 17.7 & 17.1267208534417 & 0.573279146558254 \tabularnewline
9 & 31.4 & 15.4622047244094 & 15.9377952755906 \tabularnewline
10 & -28.6 & -22.050698501397 & -6.549301498603 \tabularnewline
11 & -17.2 & -2.44747269494538 & -14.7525273050546 \tabularnewline
12 & -79 & -74.2937397341461 & -4.70626026585393 \tabularnewline
13 & -47.9 & -9.87785623571246 & -38.0221437642875 \tabularnewline
14 & 9.1 & 22.2866598933198 & -13.1866598933198 \tabularnewline
15 & 10.6 & 38.9414986029972 & -28.3414986029972 \tabularnewline
16 & -23.9 & 20.5576276352553 & -44.4576276352553 \tabularnewline
17 & -45 & -72.706888493777 & 27.706888493777 \tabularnewline
18 & -42.2 & 22.7898856997714 & -64.9898856997714 \tabularnewline
19 & 43.2 & 31.1640792481585 & 12.0359207518415 \tabularnewline
20 & 32.1 & 17.1253695707391 & 14.9746304292609 \tabularnewline
21 & -15.3 & 15.4608534417069 & -30.7608534417069 \tabularnewline
22 & 21.8 & -22.0520497840996 & 43.8520497840996 \tabularnewline
23 & -12 & -2.44882397764795 & -9.55117602235205 \tabularnewline
24 & -95.8 & -74.2950910168487 & -21.5049089831513 \tabularnewline
25 & -14.3 & -9.87920751841504 & -4.42079248158496 \tabularnewline
26 & 47.8 & 22.2853086106172 & 25.5146913893828 \tabularnewline
27 & 64.8 & 38.9401473202946 & 25.8598526797054 \tabularnewline
28 & 40.2 & 20.5562763525527 & 19.6437236474473 \tabularnewline
29 & -28.8 & -72.7082397764796 & 43.9082397764796 \tabularnewline
30 & 23.5 & 22.7885344170688 & 0.711465582931162 \tabularnewline
31 & 70.3 & 31.1627279654559 & 39.1372720345441 \tabularnewline
32 & 12.3 & 17.1240182880366 & -4.82401828803657 \tabularnewline
33 & 43.5 & 15.4595021590043 & 28.0404978409957 \tabularnewline
34 & -30.1 & -22.0534010668021 & -8.04659893319787 \tabularnewline
35 & -5.3 & -2.45017526035052 & -2.84982473964948 \tabularnewline
36 & -24 & -74.2964422995513 & 50.2964422995513 \tabularnewline
37 & 11.1 & -9.8805588011176 & 20.9805588011176 \tabularnewline
38 & 21.5 & 22.2839573279147 & -0.783957327914657 \tabularnewline
39 & 38.5 & 38.9387960375921 & -0.438796037592075 \tabularnewline
40 & 16.8 & 20.5549250698501 & -3.75492506985014 \tabularnewline
41 & -36.2 & -72.7095910591821 & 36.5095910591821 \tabularnewline
42 & 6 & 22.7871831343663 & -16.7871831343663 \tabularnewline
43 & 26.6 & 31.1613766827534 & -4.56137668275337 \tabularnewline
44 & -8 & 17.122667005334 & -25.122667005334 \tabularnewline
45 & 13.2 & 15.4581508763018 & -2.25815087630176 \tabularnewline
46 & -23.6 & -22.0547523495047 & -1.54524765049531 \tabularnewline
47 & 19.4 & -2.45152654305309 & 21.8515265430531 \tabularnewline
48 & -46.2 & -74.2977935822538 & 28.0977935822538 \tabularnewline
49 & -8.2 & -9.88191008382017 & 1.68191008382017 \tabularnewline
50 & 33.8 & 22.2826060452121 & 11.5173939547879 \tabularnewline
51 & 16.6 & 38.9374447548895 & -22.3374447548895 \tabularnewline
52 & 5.4 & 20.5535737871476 & -15.1535737871476 \tabularnewline
53 & -25 & -72.7109423418847 & 47.7109423418847 \tabularnewline
54 & -5.3 & 22.7858318516637 & -28.0858318516637 \tabularnewline
55 & 16.7 & 31.1600254000508 & -14.4600254000508 \tabularnewline
56 & 19 & 17.1213157226314 & 1.87868427736856 \tabularnewline
57 & 24.8 & 15.4567995935992 & 9.34320040640081 \tabularnewline
58 & -11.4 & -22.0561036322073 & 10.6561036322073 \tabularnewline
59 & 4.9 & -2.45287782575564 & 7.35287782575564 \tabularnewline
60 & -58.7 & -74.2991448649564 & 15.5991448649564 \tabularnewline
61 & 16.8 & -9.88326136652273 & 26.6832613665227 \tabularnewline
62 & 13.6 & 22.2812547625095 & -8.68125476250953 \tabularnewline
63 & 6.4 & 38.9360934721869 & -32.5360934721869 \tabularnewline
64 & 22.8 & 20.552222504445 & 2.24777749555499 \tabularnewline
65 & -19.6 & -72.7122936245873 & 53.1122936245873 \tabularnewline
66 & 2.2 & 22.7844805689611 & -20.5844805689611 \tabularnewline
67 & 19.8 & 31.1586741173482 & -11.3586741173482 \tabularnewline
68 & -10.7 & 17.1199644399289 & -27.8199644399289 \tabularnewline
69 & 4.7 & 15.4554483108966 & -10.7554483108966 \tabularnewline
70 & -44.5 & -22.0574549149098 & -22.4425450850902 \tabularnewline
71 & -34.7 & -2.45422910845821 & -32.2457708915418 \tabularnewline
72 & -119.7 & -74.300496147659 & -45.399503852341 \tabularnewline
73 & -42.2 & -9.8846126492253 & -32.3153873507747 \tabularnewline
74 & -5.4 & 22.279903479807 & -27.679903479807 \tabularnewline
75 & 19.1 & 38.9347421894844 & -19.8347421894844 \tabularnewline
76 & 18.8 & 20.5508712217424 & -1.75087122174245 \tabularnewline
77 & -2.3 & -72.7136449072898 & 70.4136449072898 \tabularnewline
78 & 0.2 & 22.7831292862586 & -22.5831292862586 \tabularnewline
79 & 20.9 & 31.1573228346457 & -10.2573228346457 \tabularnewline
80 & 3.7 & 17.1186131572263 & -13.4186131572263 \tabularnewline
81 & 50.4 & 15.4540970281941 & 34.9459029718059 \tabularnewline
82 & -18.6 & -22.0588061976124 & 3.45880619761239 \tabularnewline
83 & 10.6 & -2.45558039116078 & 13.0555803911608 \tabularnewline
84 & -66 & -74.3018474303615 & 8.30184743036153 \tabularnewline
85 & 10 & -9.88596393192786 & 19.8859639319279 \tabularnewline
86 & 27.2 & 22.2785521971044 & 4.92144780289561 \tabularnewline
87 & 13.5 & 38.9333909067818 & -25.4333909067818 \tabularnewline
88 & 47.2 & 20.5495199390399 & 26.6504800609601 \tabularnewline
89 & -20.3 & -72.7149961899924 & 52.4149961899924 \tabularnewline
90 & 23.1 & 22.781778003556 & 0.31822199644399 \tabularnewline
91 & 12.6 & 31.1559715519431 & -18.5559715519431 \tabularnewline
92 & 19.8 & 17.1172618745237 & 2.68273812547626 \tabularnewline
93 & 5.4 & 15.4527457454915 & -10.0527457454915 \tabularnewline
94 & -25.2 & -22.060157480315 & -3.13984251968504 \tabularnewline
95 & -6.5 & -2.45693167386335 & -4.04306832613665 \tabularnewline
96 & -46.5 & -74.3031987130641 & 27.8031987130641 \tabularnewline
97 & -2.6 & -9.88731521463043 & 7.28731521463043 \tabularnewline
98 & -0.3 & 22.2772009144018 & -22.5772009144018 \tabularnewline
99 & 38.5 & 38.9320396240793 & -0.432039624079249 \tabularnewline
100 & -8.9 & 20.5481686563373 & -29.4481686563373 \tabularnewline
101 & -38 & -72.7163474726949 & 34.7163474726949 \tabularnewline
102 & 19.5 & 22.7804267208534 & -3.28042672085345 \tabularnewline
103 & 51.7 & 31.1546202692405 & 20.5453797307595 \tabularnewline
104 & 19.4 & 17.1159105918212 & 2.28408940817882 \tabularnewline
105 & 18.2 & 15.4513944627889 & 2.74860553721107 \tabularnewline
106 & -50.8 & -22.0615087630175 & -28.7384912369825 \tabularnewline
107 & -6.1 & -2.45828295656591 & -3.64171704343409 \tabularnewline
108 & -54.6 & -74.3045499957667 & 19.7045499957667 \tabularnewline
109 & 12.1 & -9.88866649733299 & 21.988666497333 \tabularnewline
110 & 26.3 & 22.2758496316993 & 4.02415036830074 \tabularnewline
111 & 19.5 & 38.9306883413767 & -19.4306883413767 \tabularnewline
112 & -0.8 & 20.5468173736347 & -21.3468173736347 \tabularnewline
113 & -49.6 & -72.7176987553975 & 23.1176987553975 \tabularnewline
114 & 28.8 & 22.7790754381509 & 6.02092456184912 \tabularnewline
115 & 31.7 & 31.153268986538 & 0.546731013462026 \tabularnewline
116 & 2.3 & 17.1145593091186 & -14.8145593091186 \tabularnewline
117 & 3.8 & 15.4500431800864 & -11.6500431800864 \tabularnewline
118 & -66.2 & -22.0628600457201 & -44.1371399542799 \tabularnewline
119 & -20.5 & -2.45963423926847 & -18.0403657607315 \tabularnewline
120 & -113.2 & -74.3059012784692 & -38.8940987215308 \tabularnewline
121 & -65.2 & -9.89001778003556 & -55.3099822199644 \tabularnewline
122 & -3.9 & 22.2744983489967 & -26.1744983489967 \tabularnewline
123 & 9.1 & 38.9293370586741 & -29.8293370586741 \tabularnewline
124 & 23.2 & 20.5454660909322 & 2.65453390906782 \tabularnewline
125 & -39.1 & -72.7190500381001 & 33.6190500381001 \tabularnewline
126 & 12.5 & 22.7777241554483 & -10.2777241554483 \tabularnewline
127 & 49.1 & 31.1519177038354 & 17.9480822961646 \tabularnewline
128 & 54.9 & 17.113208026416 & 37.786791973584 \tabularnewline
129 & 30.8 & 15.4486918973838 & 15.3513081026162 \tabularnewline
130 & -3.5 & -22.0642113284227 & 18.5642113284227 \tabularnewline
131 & -28.3 & -2.46098552197104 & -25.839014478029 \tabularnewline
132 & -61 & -74.3072525611718 & 13.3072525611718 \tabularnewline
133 & -2 & -9.89136906273813 & 7.89136906273813 \tabularnewline
134 & 40 & 22.2731470662941 & 17.7268529337059 \tabularnewline
135 & 74 & 38.9279857759715 & 35.0720142240285 \tabularnewline
136 & 23.1 & 20.5441148082296 & 2.55588519177038 \tabularnewline
137 & -45.3 & -72.7204013208026 & 27.4204013208026 \tabularnewline
138 & 17.5 & 22.7763728727457 & -5.27637287274575 \tabularnewline
139 & 25.8 & 31.1505664211328 & -5.35056642113284 \tabularnewline
140 & 15.2 & 17.1118567437135 & -1.91185674371348 \tabularnewline
141 & -3.6 & 15.4473406146812 & -19.0473406146812 \tabularnewline
142 & -40.5 & -22.0655626111252 & -18.4344373888748 \tabularnewline
143 & 11.5 & -2.46233680467362 & 13.9623368046736 \tabularnewline
144 & -59.8 & -74.3086038438744 & 14.5086038438744 \tabularnewline
145 & 23.3 & -9.8927203454407 & 33.1927203454407 \tabularnewline
146 & -27.8 & 22.2717957835916 & -50.0717957835916 \tabularnewline
147 & 55.7 & 38.926634493269 & 16.773365506731 \tabularnewline
148 & 22.7 & 20.5427635255271 & 2.15723647447295 \tabularnewline
149 & -79.2 & -72.7217526035052 & -6.4782473964948 \tabularnewline
150 & 28.8 & 22.7750215900432 & 6.02497840995681 \tabularnewline
151 & 17.3 & 31.1492151384303 & -13.8492151384303 \tabularnewline
152 & 39.6 & 17.1105054610109 & 22.4894945389891 \tabularnewline
153 & -22.2 & 15.4459893319787 & -37.6459893319787 \tabularnewline
154 & -43 & -22.0669138938278 & -20.9330861061722 \tabularnewline
155 & -50.3 & -2.46368808737618 & -47.8363119126238 \tabularnewline
156 & -86.5 & -74.3099551265769 & -12.1900448734231 \tabularnewline
157 & -31.9 & -9.89407162814326 & -22.0059283718567 \tabularnewline
158 & 23.1 & 22.270444500889 & 0.829555499110998 \tabularnewline
159 & 53.6 & 38.9252832105664 & 14.6747167894336 \tabularnewline
160 & 21.6 & 20.5414122428245 & 1.05858775717551 \tabularnewline
161 & -64.2 & -72.7231038862078 & 8.52310388620776 \tabularnewline
162 & 35.2 & 22.7736703073406 & 12.4263296926594 \tabularnewline
163 & 52.1 & 31.1478638557277 & 20.9521361442723 \tabularnewline
164 & 40.6 & 17.1091541783084 & 23.4908458216916 \tabularnewline
165 & 17.1 & 15.4446380492761 & 1.65536195072391 \tabularnewline
166 & -7.8 & -22.0682651765304 & 14.2682651765304 \tabularnewline
167 & -10 & -2.46503937007874 & -7.53496062992126 \tabularnewline
168 & -58 & -74.3113064092795 & 16.3113064092795 \tabularnewline
169 & 14 & -9.89542291084582 & 23.8954229108458 \tabularnewline
170 & 15.8 & 22.2690932181864 & -6.46909321818644 \tabularnewline
171 & 46 & 38.9239319278639 & 7.07606807213614 \tabularnewline
172 & -8.9 & 20.5400609601219 & -29.4400609601219 \tabularnewline
173 & -26.7 & -72.7244551689103 & 46.0244551689103 \tabularnewline
174 & 39 & 22.772319024638 & 16.227680975362 \tabularnewline
175 & -1.3 & 31.1465125730251 & -32.4465125730251 \tabularnewline
176 & 38.7 & 17.1078028956058 & 21.5921971043942 \tabularnewline
177 & 22.1 & 15.4432867665735 & 6.65671323342647 \tabularnewline
178 & -49.2 & -22.0696164592329 & -27.1303835407671 \tabularnewline
179 & -3.4 & -2.4663906527813 & -0.933609347218698 \tabularnewline
180 & -86.7 & -74.3126576919821 & -12.387342308018 \tabularnewline
181 & -24.3 & -9.89677419354839 & -14.4032258064516 \tabularnewline
182 & 42.8 & 22.2677419354839 & 20.5322580645161 \tabularnewline
183 & 44.9 & 38.9225806451613 & 5.97741935483871 \tabularnewline
184 & 4.4 & 20.5387096774194 & -16.1387096774194 \tabularnewline
185 & -60.5 & -72.7258064516129 & 12.2258064516129 \tabularnewline
186 & 41.4 & 22.7709677419355 & 18.6290322580645 \tabularnewline
187 & 38.5 & 31.1451612903226 & 7.35483870967741 \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 & -2.46774193548387 & 9.46774193548387 \tabularnewline
192 & -73 & -74.3140089746846 & 1.31400897468462 \tabularnewline
193 & 5.7 & -9.89812547625095 & 15.598125476251 \tabularnewline
194 & 23.6 & 22.2663906527813 & 1.3336093472187 \tabularnewline
195 & 39.4 & 38.9212293624587 & 0.478770637541274 \tabularnewline
196 & 30.3 & 20.5373583947168 & 9.76264160528321 \tabularnewline
197 & -92.5 & -72.7271577343155 & -19.7728422656845 \tabularnewline
198 & 77.8 & 22.7696164592329 & 55.0303835407671 \tabularnewline
199 & 12.4 & 31.14381000762 & -18.74381000762 \tabularnewline
200 & 28.9 & 17.1051003302007 & 11.7948996697993 \tabularnewline
201 & 6.4 & 15.4405842011684 & -9.04058420116841 \tabularnewline
202 & -12 & -22.072319024638 & 10.072319024638 \tabularnewline
203 & -9.1 & -2.46909321818644 & -6.63090678181356 \tabularnewline
204 & -53.2 & -74.3153602573872 & 21.1153602573872 \tabularnewline
205 & -23.1 & -9.89947675895352 & -13.2005232410465 \tabularnewline
206 & 47.3 & 22.2650393700787 & 25.0349606299213 \tabularnewline
207 & 20.7 & 38.9198780797562 & -18.2198780797562 \tabularnewline
208 & 27.8 & 20.5360071120142 & 7.26399288798577 \tabularnewline
209 & -84.3 & -72.728509017018 & -11.571490982982 \tabularnewline
210 & 62.8 & 22.7682651765303 & 40.0317348234697 \tabularnewline
211 & 26.4 & 31.1424587249175 & -4.74245872491745 \tabularnewline
212 & 32.3 & 17.1037490474981 & 15.1962509525019 \tabularnewline
213 & 13.3 & 15.4392329184658 & -2.13923291846584 \tabularnewline
214 & -17.9 & -22.0736703073406 & 4.17367030734062 \tabularnewline
215 & 10 & -2.470444500889 & 12.470444500889 \tabularnewline
216 & -45.6 & -74.3167115400897 & 28.7167115400897 \tabularnewline
217 & 13.5 & -9.90082804165608 & 23.4008280416561 \tabularnewline
218 & 11.9 & 22.2636880873762 & -10.3636880873762 \tabularnewline
219 & 26 & 38.9185267970536 & -12.9185267970536 \tabularnewline
220 & -6.3 & 20.5346558293117 & -26.8346558293117 \tabularnewline
221 & -79.9 & -72.7298602997206 & -7.17013970027941 \tabularnewline
222 & 54.2 & 22.7669138938278 & 31.4330861061722 \tabularnewline
223 & 22.9 & 31.1411074422149 & -8.24110744221489 \tabularnewline
224 & 31.8 & 17.1023977647955 & 14.6976022352045 \tabularnewline
225 & 3.8 & 15.4378816357633 & -11.6378816357633 \tabularnewline
226 & -11.4 & -22.0750215900432 & 10.6750215900432 \tabularnewline
227 & -8.6 & -2.47179578359157 & -6.12820421640843 \tabularnewline
228 & -49.4 & -74.3180628227923 & 24.9180628227923 \tabularnewline
229 & -2.5 & -9.90217932435865 & 7.40217932435865 \tabularnewline
230 & 23 & 22.2623368046736 & 0.73766319532639 \tabularnewline
231 & 29 & 38.917175514351 & -9.91717551435103 \tabularnewline
232 & 20.6 & 20.5333045466091 & 0.0666954533909062 \tabularnewline
233 & -117 & -72.7312115824232 & -44.2687884175768 \tabularnewline
234 & 37.9 & 22.7655626111252 & 15.1344373888748 \tabularnewline
235 & 30.7 & 31.1397561595123 & -0.43975615951232 \tabularnewline
236 & 4.7 & 17.101046482093 & -12.401046482093 \tabularnewline
237 & -5.7 & 15.4365303530607 & -21.1365303530607 \tabularnewline
238 & 4.9 & -22.0763728727457 & 26.9763728727457 \tabularnewline
239 & 18.3 & -2.47314706629413 & 20.7731470662941 \tabularnewline
240 & -35.4 & -74.3194141054949 & 38.9194141054949 \tabularnewline
241 & -21.3 & -9.90353060706122 & -11.3964693929388 \tabularnewline
242 & 35.8 & 22.260985521971 & 13.539014478029 \tabularnewline
243 & 43.8 & 38.9158242316485 & 4.88417576835153 \tabularnewline
244 & 18.7 & 20.5319532639065 & -1.83195326390653 \tabularnewline
245 & -131.1 & -72.7325628651258 & -58.3674371348742 \tabularnewline
246 & 39.8 & 22.7642113284227 & 17.0357886715773 \tabularnewline
247 & 44.5 & 31.1384048768098 & 13.3615951231902 \tabularnewline
248 & 16.5 & 17.0996951993904 & -0.599695199390395 \tabularnewline
249 & 9.7 & 15.4351790703581 & -5.73517907035814 \tabularnewline
250 & -6.6 & -22.0777241554483 & 15.4777241554483 \tabularnewline
251 & 15.8 & -2.4744983489967 & 18.2744983489967 \tabularnewline
252 & -45.7 & -74.3207653881974 & 28.6207653881974 \tabularnewline
253 & -4.8 & -9.90488188976378 & 5.10488188976378 \tabularnewline
254 & 17.6 & 22.2596342392685 & -4.65963423926848 \tabularnewline
255 & 20.5 & 38.9144729489459 & -18.4144729489459 \tabularnewline
256 & 24.2 & 20.530601981204 & 3.66939801879603 \tabularnewline
257 & -109 & -72.7339141478283 & -36.2660858521717 \tabularnewline
258 & 20.8 & 22.7628600457201 & -1.96286004572009 \tabularnewline
259 & 31.2 & 31.1370535941072 & 0.0629464058928114 \tabularnewline
260 & -8.8 & 17.0983439166878 & -25.8983439166878 \tabularnewline
261 & 11.8 & 15.4338277876556 & -3.63382778765558 \tabularnewline
262 & 13 & -22.0790754381509 & 35.0790754381509 \tabularnewline
263 & 8.3 & -2.47584963169926 & 10.7758496316993 \tabularnewline
264 & -77.9 & -74.3221166709 & -3.5778833291 \tabularnewline
265 & -38.8 & -9.90623317246634 & -28.8937668275337 \tabularnewline
266 & 6.1 & 22.2582829565659 & -16.1582829565659 \tabularnewline
267 & 18.1 & 38.9131216662433 & -20.8131216662433 \tabularnewline
268 & 16.8 & 20.5292506985014 & -3.7292506985014 \tabularnewline
269 & -128.5 & -72.7352654305309 & -55.7647345694691 \tabularnewline
270 & 15.9 & 22.7615087630175 & -6.86150876301753 \tabularnewline
271 & 29 & 31.1357023114046 & -2.13570231140463 \tabularnewline
272 & -7.2 & 17.0969926339853 & -24.2969926339853 \tabularnewline
273 & 3.3 & 15.432476504953 & -12.132476504953 \tabularnewline
274 & -34.8 & -22.0804267208534 & -12.7195732791466 \tabularnewline
275 & -2.9 & -2.47720091440183 & -0.422799085598174 \tabularnewline
276 & -77.8 & -74.3234679536026 & -3.47653204639742 \tabularnewline
277 & -2.8 & -9.90758445516892 & 7.10758445516892 \tabularnewline
278 & 26.7 & 22.2569316738633 & 4.44306832613665 \tabularnewline
279 & 48.1 & 38.9117703835408 & 9.18822961645923 \tabularnewline
280 & 30 & 20.5278994157988 & 9.47210058420116 \tabularnewline
281 & -109.6 & -72.7366167132334 & -36.8633832867666 \tabularnewline
282 & 16 & 22.760157480315 & -6.76015748031496 \tabularnewline
283 & 26.9 & 31.1343510287021 & -4.23435102870206 \tabularnewline
284 & 22.1 & 17.0956413512827 & 5.0043586487173 \tabularnewline
285 & 27 & 15.4311252222505 & 11.5688747777495 \tabularnewline
286 & -24.5 & -22.081778003556 & -2.41822199644399 \tabularnewline
287 & 12 & -2.4785521971044 & 14.4785521971044 \tabularnewline
288 & -75.2 & -74.3248192363051 & -0.875180763694863 \tabularnewline
289 & 3.5 & -9.90893573787148 & 13.4089357378715 \tabularnewline
290 & 19.7 & 22.2555803911608 & -2.55558039116078 \tabularnewline
291 & 51.8 & 38.9104191008382 & 12.8895808991618 \tabularnewline
292 & 35.3 & 20.5265481330963 & 14.7734518669037 \tabularnewline
293 & -108.2 & -72.737967995936 & -35.462032004064 \tabularnewline
294 & 25.3 & 22.7588061976124 & 2.5411938023876 \tabularnewline
295 & 31.6 & 31.1329997459995 & 0.467000254000506 \tabularnewline
296 & 19.9 & 17.0942900685801 & 2.80570993141986 \tabularnewline
297 & 18.8 & 15.4297739395479 & 3.37022606045212 \tabularnewline
298 & 20.4 & -22.0831292862586 & 42.4831292862586 \tabularnewline
299 & 15 & -2.47990347980696 & 17.479903479807 \tabularnewline
300 & -55.9 & -74.3261705190077 & 18.4261705190077 \tabularnewline
301 & -17 & -9.91028702057404 & -7.08971297942596 \tabularnewline
302 & 33.3 & 22.2542291084582 & 11.0457708915418 \tabularnewline
303 & 33.8 & 38.9090678181356 & -5.10906781813564 \tabularnewline
304 & 37.5 & 20.5251968503937 & 16.9748031496063 \tabularnewline
305 & -104.8 & -72.7393192786386 & -32.0606807213614 \tabularnewline
306 & 29.7 & 22.7574549149098 & 6.94254508509016 \tabularnewline
307 & 34.2 & 31.1316484632969 & 3.06835153670307 \tabularnewline
308 & 4.3 & 17.0929387858776 & -12.7929387858776 \tabularnewline
309 & 40.2 & 15.4284226568453 & 24.7715773431547 \tabularnewline
310 & -29.3 & -22.0844805689611 & -7.21551943103886 \tabularnewline
311 & -0.2 & -2.48125476250953 & 2.28125476250952 \tabularnewline
312 & -95 & -74.3275218017103 & -20.6724781982897 \tabularnewline
313 & -13.2 & -9.91163830327661 & -3.28836169672339 \tabularnewline
314 & 38.5 & 22.2528778257556 & 16.2471221742444 \tabularnewline
315 & 45.4 & 38.9077165354331 & 6.49228346456693 \tabularnewline
316 & 15.7 & 20.5238455676911 & -4.82384556769114 \tabularnewline
317 & -123.6 & -72.7406705613411 & -50.8593294386589 \tabularnewline
318 & 12 & 22.7561036322073 & -10.7561036322073 \tabularnewline
319 & 37.5 & 31.1302971805944 & 6.36970281940564 \tabularnewline
320 & -31.7 & 17.091587503175 & -48.791587503175 \tabularnewline
321 & 15.8 & 15.4270713741427 & 0.372928625857252 \tabularnewline
322 & -64.1 & -22.0858318516637 & -42.0141681483363 \tabularnewline
323 & -42.1 & -2.48260604521209 & -39.6173939547879 \tabularnewline
324 & -207.4 & -74.3288730844129 & -133.071126915587 \tabularnewline
325 & -12.9 & -9.91298958597918 & -2.98701041402082 \tabularnewline
326 & -5 & 22.2515265430531 & -27.2515265430531 \tabularnewline
327 & 53.9 & 38.9063652527305 & 14.9936347472695 \tabularnewline
328 & 19.7 & 20.5224942849886 & -0.822494284988573 \tabularnewline
329 & -94.6 & -72.7420218440437 & -21.8579781559563 \tabularnewline
330 & 36 & 22.7547523495047 & 13.2452476504953 \tabularnewline
331 & 51.3 & 31.1289458978918 & 20.1710541021082 \tabularnewline
332 & 17.4 & 17.0902362204724 & 0.309763779527561 \tabularnewline
333 & 27.8 & 15.4257200914402 & 12.3742799085598 \tabularnewline
334 & 1.3 & -22.0871831343663 & 23.3871831343663 \tabularnewline
335 & 3.6 & -2.48395732791465 & 6.08395732791465 \tabularnewline
336 & -97.9 & -74.3302243671154 & -23.5697756328846 \tabularnewline
337 & 14.1 & -9.91434086868174 & 24.0143408686817 \tabularnewline
338 & 50.8 & 22.2501752603505 & 28.5498247396495 \tabularnewline
339 & 63.5 & 38.9050139700279 & 24.5949860299721 \tabularnewline
340 & 58.6 & 20.521143002286 & 38.078856997714 \tabularnewline
341 & -135.1 & -72.7433731267462 & -62.3566268732538 \tabularnewline
342 & 7.8 & 22.7534010668021 & -14.9534010668021 \tabularnewline
343 & 25.5 & 31.1275946151892 & -5.62759461518923 \tabularnewline
344 & 29.6 & 17.0888849377699 & 12.5111150622301 \tabularnewline
345 & 19.3 & 15.4243688087376 & 3.87563119126239 \tabularnewline
346 & -26.2 & -22.0885344170688 & -4.11146558293116 \tabularnewline
347 & 7.3 & -2.48530861061722 & 9.78530861061722 \tabularnewline
348 & -82.6 & -74.331575649818 & -8.26842435018203 \tabularnewline
349 & -26.1 & -9.91569215138431 & -16.1843078486157 \tabularnewline
350 & 55.3 & 22.248823977648 & 33.051176022352 \tabularnewline
351 & 98.8 & 38.9036626873254 & 59.8963373126746 \tabularnewline
352 & 41.7 & 20.5197917195834 & 21.1802082804166 \tabularnewline
353 & -130.2 & -72.7447244094488 & -57.4552755905511 \tabularnewline
354 & 51.2 & 22.7520497840996 & 28.4479502159004 \tabularnewline
355 & 18.4 & 31.1262433324867 & -12.7262433324867 \tabularnewline
356 & 32 & 17.0875336550673 & 14.9124663449327 \tabularnewline
357 & 21.6 & 15.4230175260351 & 6.17698247396495 \tabularnewline
358 & -12.5 & -22.0898856997714 & 9.5898856997714 \tabularnewline
359 & 46.6 & -2.48665989331978 & 49.0866598933198 \tabularnewline
360 & -101.7 & -74.3329269325205 & -27.3670730674795 \tabularnewline
361 & 15.8 & -9.91704343408687 & 25.7170434340869 \tabularnewline
362 & 26 & 22.2474726949454 & 3.75252730505461 \tabularnewline
363 & 79.1 & 38.9023114046228 & 40.1976885953772 \tabularnewline
364 & 23.1 & 20.5184404368809 & 2.58155956311913 \tabularnewline
365 & -86.9 & -72.7460756921514 & -14.1539243078486 \tabularnewline
366 & -11.2 & 22.750698501397 & -33.950698501397 \tabularnewline
367 & 50.7 & 31.1248920497841 & 19.5751079502159 \tabularnewline
368 & 13.4 & 17.0861823723647 & -3.68618237236474 \tabularnewline
369 & 33.7 & 15.4216662433325 & 18.2783337566675 \tabularnewline
370 & -16.9 & -22.091236982474 & 5.19123698247397 \tabularnewline
371 & -9.6 & -2.48801117602235 & -7.11198882397765 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=147093&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]-9.87650495300985[/C][C]-35.7234950469902[/C][/ROW]
[ROW][C]2[/C][C]16.1[/C][C]22.2880111760224[/C][C]-6.18801117602236[/C][/ROW]
[ROW][C]3[/C][C]23.9[/C][C]38.9428498856998[/C][C]-15.0428498856998[/C][/ROW]
[ROW][C]4[/C][C]39.3[/C][C]20.5589789179578[/C][C]18.7410210820422[/C][/ROW]
[ROW][C]5[/C][C]-39.4[/C][C]-72.7055372110745[/C][C]33.3055372110745[/C][/ROW]
[ROW][C]6[/C][C]-0.3[/C][C]22.7912369824739[/C][C]-23.0912369824739[/C][/ROW]
[ROW][C]7[/C][C]17.3[/C][C]31.165430530861[/C][C]-13.865430530861[/C][/ROW]
[ROW][C]8[/C][C]17.7[/C][C]17.1267208534417[/C][C]0.573279146558254[/C][/ROW]
[ROW][C]9[/C][C]31.4[/C][C]15.4622047244094[/C][C]15.9377952755906[/C][/ROW]
[ROW][C]10[/C][C]-28.6[/C][C]-22.050698501397[/C][C]-6.549301498603[/C][/ROW]
[ROW][C]11[/C][C]-17.2[/C][C]-2.44747269494538[/C][C]-14.7525273050546[/C][/ROW]
[ROW][C]12[/C][C]-79[/C][C]-74.2937397341461[/C][C]-4.70626026585393[/C][/ROW]
[ROW][C]13[/C][C]-47.9[/C][C]-9.87785623571246[/C][C]-38.0221437642875[/C][/ROW]
[ROW][C]14[/C][C]9.1[/C][C]22.2866598933198[/C][C]-13.1866598933198[/C][/ROW]
[ROW][C]15[/C][C]10.6[/C][C]38.9414986029972[/C][C]-28.3414986029972[/C][/ROW]
[ROW][C]16[/C][C]-23.9[/C][C]20.5576276352553[/C][C]-44.4576276352553[/C][/ROW]
[ROW][C]17[/C][C]-45[/C][C]-72.706888493777[/C][C]27.706888493777[/C][/ROW]
[ROW][C]18[/C][C]-42.2[/C][C]22.7898856997714[/C][C]-64.9898856997714[/C][/ROW]
[ROW][C]19[/C][C]43.2[/C][C]31.1640792481585[/C][C]12.0359207518415[/C][/ROW]
[ROW][C]20[/C][C]32.1[/C][C]17.1253695707391[/C][C]14.9746304292609[/C][/ROW]
[ROW][C]21[/C][C]-15.3[/C][C]15.4608534417069[/C][C]-30.7608534417069[/C][/ROW]
[ROW][C]22[/C][C]21.8[/C][C]-22.0520497840996[/C][C]43.8520497840996[/C][/ROW]
[ROW][C]23[/C][C]-12[/C][C]-2.44882397764795[/C][C]-9.55117602235205[/C][/ROW]
[ROW][C]24[/C][C]-95.8[/C][C]-74.2950910168487[/C][C]-21.5049089831513[/C][/ROW]
[ROW][C]25[/C][C]-14.3[/C][C]-9.87920751841504[/C][C]-4.42079248158496[/C][/ROW]
[ROW][C]26[/C][C]47.8[/C][C]22.2853086106172[/C][C]25.5146913893828[/C][/ROW]
[ROW][C]27[/C][C]64.8[/C][C]38.9401473202946[/C][C]25.8598526797054[/C][/ROW]
[ROW][C]28[/C][C]40.2[/C][C]20.5562763525527[/C][C]19.6437236474473[/C][/ROW]
[ROW][C]29[/C][C]-28.8[/C][C]-72.7082397764796[/C][C]43.9082397764796[/C][/ROW]
[ROW][C]30[/C][C]23.5[/C][C]22.7885344170688[/C][C]0.711465582931162[/C][/ROW]
[ROW][C]31[/C][C]70.3[/C][C]31.1627279654559[/C][C]39.1372720345441[/C][/ROW]
[ROW][C]32[/C][C]12.3[/C][C]17.1240182880366[/C][C]-4.82401828803657[/C][/ROW]
[ROW][C]33[/C][C]43.5[/C][C]15.4595021590043[/C][C]28.0404978409957[/C][/ROW]
[ROW][C]34[/C][C]-30.1[/C][C]-22.0534010668021[/C][C]-8.04659893319787[/C][/ROW]
[ROW][C]35[/C][C]-5.3[/C][C]-2.45017526035052[/C][C]-2.84982473964948[/C][/ROW]
[ROW][C]36[/C][C]-24[/C][C]-74.2964422995513[/C][C]50.2964422995513[/C][/ROW]
[ROW][C]37[/C][C]11.1[/C][C]-9.8805588011176[/C][C]20.9805588011176[/C][/ROW]
[ROW][C]38[/C][C]21.5[/C][C]22.2839573279147[/C][C]-0.783957327914657[/C][/ROW]
[ROW][C]39[/C][C]38.5[/C][C]38.9387960375921[/C][C]-0.438796037592075[/C][/ROW]
[ROW][C]40[/C][C]16.8[/C][C]20.5549250698501[/C][C]-3.75492506985014[/C][/ROW]
[ROW][C]41[/C][C]-36.2[/C][C]-72.7095910591821[/C][C]36.5095910591821[/C][/ROW]
[ROW][C]42[/C][C]6[/C][C]22.7871831343663[/C][C]-16.7871831343663[/C][/ROW]
[ROW][C]43[/C][C]26.6[/C][C]31.1613766827534[/C][C]-4.56137668275337[/C][/ROW]
[ROW][C]44[/C][C]-8[/C][C]17.122667005334[/C][C]-25.122667005334[/C][/ROW]
[ROW][C]45[/C][C]13.2[/C][C]15.4581508763018[/C][C]-2.25815087630176[/C][/ROW]
[ROW][C]46[/C][C]-23.6[/C][C]-22.0547523495047[/C][C]-1.54524765049531[/C][/ROW]
[ROW][C]47[/C][C]19.4[/C][C]-2.45152654305309[/C][C]21.8515265430531[/C][/ROW]
[ROW][C]48[/C][C]-46.2[/C][C]-74.2977935822538[/C][C]28.0977935822538[/C][/ROW]
[ROW][C]49[/C][C]-8.2[/C][C]-9.88191008382017[/C][C]1.68191008382017[/C][/ROW]
[ROW][C]50[/C][C]33.8[/C][C]22.2826060452121[/C][C]11.5173939547879[/C][/ROW]
[ROW][C]51[/C][C]16.6[/C][C]38.9374447548895[/C][C]-22.3374447548895[/C][/ROW]
[ROW][C]52[/C][C]5.4[/C][C]20.5535737871476[/C][C]-15.1535737871476[/C][/ROW]
[ROW][C]53[/C][C]-25[/C][C]-72.7109423418847[/C][C]47.7109423418847[/C][/ROW]
[ROW][C]54[/C][C]-5.3[/C][C]22.7858318516637[/C][C]-28.0858318516637[/C][/ROW]
[ROW][C]55[/C][C]16.7[/C][C]31.1600254000508[/C][C]-14.4600254000508[/C][/ROW]
[ROW][C]56[/C][C]19[/C][C]17.1213157226314[/C][C]1.87868427736856[/C][/ROW]
[ROW][C]57[/C][C]24.8[/C][C]15.4567995935992[/C][C]9.34320040640081[/C][/ROW]
[ROW][C]58[/C][C]-11.4[/C][C]-22.0561036322073[/C][C]10.6561036322073[/C][/ROW]
[ROW][C]59[/C][C]4.9[/C][C]-2.45287782575564[/C][C]7.35287782575564[/C][/ROW]
[ROW][C]60[/C][C]-58.7[/C][C]-74.2991448649564[/C][C]15.5991448649564[/C][/ROW]
[ROW][C]61[/C][C]16.8[/C][C]-9.88326136652273[/C][C]26.6832613665227[/C][/ROW]
[ROW][C]62[/C][C]13.6[/C][C]22.2812547625095[/C][C]-8.68125476250953[/C][/ROW]
[ROW][C]63[/C][C]6.4[/C][C]38.9360934721869[/C][C]-32.5360934721869[/C][/ROW]
[ROW][C]64[/C][C]22.8[/C][C]20.552222504445[/C][C]2.24777749555499[/C][/ROW]
[ROW][C]65[/C][C]-19.6[/C][C]-72.7122936245873[/C][C]53.1122936245873[/C][/ROW]
[ROW][C]66[/C][C]2.2[/C][C]22.7844805689611[/C][C]-20.5844805689611[/C][/ROW]
[ROW][C]67[/C][C]19.8[/C][C]31.1586741173482[/C][C]-11.3586741173482[/C][/ROW]
[ROW][C]68[/C][C]-10.7[/C][C]17.1199644399289[/C][C]-27.8199644399289[/C][/ROW]
[ROW][C]69[/C][C]4.7[/C][C]15.4554483108966[/C][C]-10.7554483108966[/C][/ROW]
[ROW][C]70[/C][C]-44.5[/C][C]-22.0574549149098[/C][C]-22.4425450850902[/C][/ROW]
[ROW][C]71[/C][C]-34.7[/C][C]-2.45422910845821[/C][C]-32.2457708915418[/C][/ROW]
[ROW][C]72[/C][C]-119.7[/C][C]-74.300496147659[/C][C]-45.399503852341[/C][/ROW]
[ROW][C]73[/C][C]-42.2[/C][C]-9.8846126492253[/C][C]-32.3153873507747[/C][/ROW]
[ROW][C]74[/C][C]-5.4[/C][C]22.279903479807[/C][C]-27.679903479807[/C][/ROW]
[ROW][C]75[/C][C]19.1[/C][C]38.9347421894844[/C][C]-19.8347421894844[/C][/ROW]
[ROW][C]76[/C][C]18.8[/C][C]20.5508712217424[/C][C]-1.75087122174245[/C][/ROW]
[ROW][C]77[/C][C]-2.3[/C][C]-72.7136449072898[/C][C]70.4136449072898[/C][/ROW]
[ROW][C]78[/C][C]0.2[/C][C]22.7831292862586[/C][C]-22.5831292862586[/C][/ROW]
[ROW][C]79[/C][C]20.9[/C][C]31.1573228346457[/C][C]-10.2573228346457[/C][/ROW]
[ROW][C]80[/C][C]3.7[/C][C]17.1186131572263[/C][C]-13.4186131572263[/C][/ROW]
[ROW][C]81[/C][C]50.4[/C][C]15.4540970281941[/C][C]34.9459029718059[/C][/ROW]
[ROW][C]82[/C][C]-18.6[/C][C]-22.0588061976124[/C][C]3.45880619761239[/C][/ROW]
[ROW][C]83[/C][C]10.6[/C][C]-2.45558039116078[/C][C]13.0555803911608[/C][/ROW]
[ROW][C]84[/C][C]-66[/C][C]-74.3018474303615[/C][C]8.30184743036153[/C][/ROW]
[ROW][C]85[/C][C]10[/C][C]-9.88596393192786[/C][C]19.8859639319279[/C][/ROW]
[ROW][C]86[/C][C]27.2[/C][C]22.2785521971044[/C][C]4.92144780289561[/C][/ROW]
[ROW][C]87[/C][C]13.5[/C][C]38.9333909067818[/C][C]-25.4333909067818[/C][/ROW]
[ROW][C]88[/C][C]47.2[/C][C]20.5495199390399[/C][C]26.6504800609601[/C][/ROW]
[ROW][C]89[/C][C]-20.3[/C][C]-72.7149961899924[/C][C]52.4149961899924[/C][/ROW]
[ROW][C]90[/C][C]23.1[/C][C]22.781778003556[/C][C]0.31822199644399[/C][/ROW]
[ROW][C]91[/C][C]12.6[/C][C]31.1559715519431[/C][C]-18.5559715519431[/C][/ROW]
[ROW][C]92[/C][C]19.8[/C][C]17.1172618745237[/C][C]2.68273812547626[/C][/ROW]
[ROW][C]93[/C][C]5.4[/C][C]15.4527457454915[/C][C]-10.0527457454915[/C][/ROW]
[ROW][C]94[/C][C]-25.2[/C][C]-22.060157480315[/C][C]-3.13984251968504[/C][/ROW]
[ROW][C]95[/C][C]-6.5[/C][C]-2.45693167386335[/C][C]-4.04306832613665[/C][/ROW]
[ROW][C]96[/C][C]-46.5[/C][C]-74.3031987130641[/C][C]27.8031987130641[/C][/ROW]
[ROW][C]97[/C][C]-2.6[/C][C]-9.88731521463043[/C][C]7.28731521463043[/C][/ROW]
[ROW][C]98[/C][C]-0.3[/C][C]22.2772009144018[/C][C]-22.5772009144018[/C][/ROW]
[ROW][C]99[/C][C]38.5[/C][C]38.9320396240793[/C][C]-0.432039624079249[/C][/ROW]
[ROW][C]100[/C][C]-8.9[/C][C]20.5481686563373[/C][C]-29.4481686563373[/C][/ROW]
[ROW][C]101[/C][C]-38[/C][C]-72.7163474726949[/C][C]34.7163474726949[/C][/ROW]
[ROW][C]102[/C][C]19.5[/C][C]22.7804267208534[/C][C]-3.28042672085345[/C][/ROW]
[ROW][C]103[/C][C]51.7[/C][C]31.1546202692405[/C][C]20.5453797307595[/C][/ROW]
[ROW][C]104[/C][C]19.4[/C][C]17.1159105918212[/C][C]2.28408940817882[/C][/ROW]
[ROW][C]105[/C][C]18.2[/C][C]15.4513944627889[/C][C]2.74860553721107[/C][/ROW]
[ROW][C]106[/C][C]-50.8[/C][C]-22.0615087630175[/C][C]-28.7384912369825[/C][/ROW]
[ROW][C]107[/C][C]-6.1[/C][C]-2.45828295656591[/C][C]-3.64171704343409[/C][/ROW]
[ROW][C]108[/C][C]-54.6[/C][C]-74.3045499957667[/C][C]19.7045499957667[/C][/ROW]
[ROW][C]109[/C][C]12.1[/C][C]-9.88866649733299[/C][C]21.988666497333[/C][/ROW]
[ROW][C]110[/C][C]26.3[/C][C]22.2758496316993[/C][C]4.02415036830074[/C][/ROW]
[ROW][C]111[/C][C]19.5[/C][C]38.9306883413767[/C][C]-19.4306883413767[/C][/ROW]
[ROW][C]112[/C][C]-0.8[/C][C]20.5468173736347[/C][C]-21.3468173736347[/C][/ROW]
[ROW][C]113[/C][C]-49.6[/C][C]-72.7176987553975[/C][C]23.1176987553975[/C][/ROW]
[ROW][C]114[/C][C]28.8[/C][C]22.7790754381509[/C][C]6.02092456184912[/C][/ROW]
[ROW][C]115[/C][C]31.7[/C][C]31.153268986538[/C][C]0.546731013462026[/C][/ROW]
[ROW][C]116[/C][C]2.3[/C][C]17.1145593091186[/C][C]-14.8145593091186[/C][/ROW]
[ROW][C]117[/C][C]3.8[/C][C]15.4500431800864[/C][C]-11.6500431800864[/C][/ROW]
[ROW][C]118[/C][C]-66.2[/C][C]-22.0628600457201[/C][C]-44.1371399542799[/C][/ROW]
[ROW][C]119[/C][C]-20.5[/C][C]-2.45963423926847[/C][C]-18.0403657607315[/C][/ROW]
[ROW][C]120[/C][C]-113.2[/C][C]-74.3059012784692[/C][C]-38.8940987215308[/C][/ROW]
[ROW][C]121[/C][C]-65.2[/C][C]-9.89001778003556[/C][C]-55.3099822199644[/C][/ROW]
[ROW][C]122[/C][C]-3.9[/C][C]22.2744983489967[/C][C]-26.1744983489967[/C][/ROW]
[ROW][C]123[/C][C]9.1[/C][C]38.9293370586741[/C][C]-29.8293370586741[/C][/ROW]
[ROW][C]124[/C][C]23.2[/C][C]20.5454660909322[/C][C]2.65453390906782[/C][/ROW]
[ROW][C]125[/C][C]-39.1[/C][C]-72.7190500381001[/C][C]33.6190500381001[/C][/ROW]
[ROW][C]126[/C][C]12.5[/C][C]22.7777241554483[/C][C]-10.2777241554483[/C][/ROW]
[ROW][C]127[/C][C]49.1[/C][C]31.1519177038354[/C][C]17.9480822961646[/C][/ROW]
[ROW][C]128[/C][C]54.9[/C][C]17.113208026416[/C][C]37.786791973584[/C][/ROW]
[ROW][C]129[/C][C]30.8[/C][C]15.4486918973838[/C][C]15.3513081026162[/C][/ROW]
[ROW][C]130[/C][C]-3.5[/C][C]-22.0642113284227[/C][C]18.5642113284227[/C][/ROW]
[ROW][C]131[/C][C]-28.3[/C][C]-2.46098552197104[/C][C]-25.839014478029[/C][/ROW]
[ROW][C]132[/C][C]-61[/C][C]-74.3072525611718[/C][C]13.3072525611718[/C][/ROW]
[ROW][C]133[/C][C]-2[/C][C]-9.89136906273813[/C][C]7.89136906273813[/C][/ROW]
[ROW][C]134[/C][C]40[/C][C]22.2731470662941[/C][C]17.7268529337059[/C][/ROW]
[ROW][C]135[/C][C]74[/C][C]38.9279857759715[/C][C]35.0720142240285[/C][/ROW]
[ROW][C]136[/C][C]23.1[/C][C]20.5441148082296[/C][C]2.55588519177038[/C][/ROW]
[ROW][C]137[/C][C]-45.3[/C][C]-72.7204013208026[/C][C]27.4204013208026[/C][/ROW]
[ROW][C]138[/C][C]17.5[/C][C]22.7763728727457[/C][C]-5.27637287274575[/C][/ROW]
[ROW][C]139[/C][C]25.8[/C][C]31.1505664211328[/C][C]-5.35056642113284[/C][/ROW]
[ROW][C]140[/C][C]15.2[/C][C]17.1118567437135[/C][C]-1.91185674371348[/C][/ROW]
[ROW][C]141[/C][C]-3.6[/C][C]15.4473406146812[/C][C]-19.0473406146812[/C][/ROW]
[ROW][C]142[/C][C]-40.5[/C][C]-22.0655626111252[/C][C]-18.4344373888748[/C][/ROW]
[ROW][C]143[/C][C]11.5[/C][C]-2.46233680467362[/C][C]13.9623368046736[/C][/ROW]
[ROW][C]144[/C][C]-59.8[/C][C]-74.3086038438744[/C][C]14.5086038438744[/C][/ROW]
[ROW][C]145[/C][C]23.3[/C][C]-9.8927203454407[/C][C]33.1927203454407[/C][/ROW]
[ROW][C]146[/C][C]-27.8[/C][C]22.2717957835916[/C][C]-50.0717957835916[/C][/ROW]
[ROW][C]147[/C][C]55.7[/C][C]38.926634493269[/C][C]16.773365506731[/C][/ROW]
[ROW][C]148[/C][C]22.7[/C][C]20.5427635255271[/C][C]2.15723647447295[/C][/ROW]
[ROW][C]149[/C][C]-79.2[/C][C]-72.7217526035052[/C][C]-6.4782473964948[/C][/ROW]
[ROW][C]150[/C][C]28.8[/C][C]22.7750215900432[/C][C]6.02497840995681[/C][/ROW]
[ROW][C]151[/C][C]17.3[/C][C]31.1492151384303[/C][C]-13.8492151384303[/C][/ROW]
[ROW][C]152[/C][C]39.6[/C][C]17.1105054610109[/C][C]22.4894945389891[/C][/ROW]
[ROW][C]153[/C][C]-22.2[/C][C]15.4459893319787[/C][C]-37.6459893319787[/C][/ROW]
[ROW][C]154[/C][C]-43[/C][C]-22.0669138938278[/C][C]-20.9330861061722[/C][/ROW]
[ROW][C]155[/C][C]-50.3[/C][C]-2.46368808737618[/C][C]-47.8363119126238[/C][/ROW]
[ROW][C]156[/C][C]-86.5[/C][C]-74.3099551265769[/C][C]-12.1900448734231[/C][/ROW]
[ROW][C]157[/C][C]-31.9[/C][C]-9.89407162814326[/C][C]-22.0059283718567[/C][/ROW]
[ROW][C]158[/C][C]23.1[/C][C]22.270444500889[/C][C]0.829555499110998[/C][/ROW]
[ROW][C]159[/C][C]53.6[/C][C]38.9252832105664[/C][C]14.6747167894336[/C][/ROW]
[ROW][C]160[/C][C]21.6[/C][C]20.5414122428245[/C][C]1.05858775717551[/C][/ROW]
[ROW][C]161[/C][C]-64.2[/C][C]-72.7231038862078[/C][C]8.52310388620776[/C][/ROW]
[ROW][C]162[/C][C]35.2[/C][C]22.7736703073406[/C][C]12.4263296926594[/C][/ROW]
[ROW][C]163[/C][C]52.1[/C][C]31.1478638557277[/C][C]20.9521361442723[/C][/ROW]
[ROW][C]164[/C][C]40.6[/C][C]17.1091541783084[/C][C]23.4908458216916[/C][/ROW]
[ROW][C]165[/C][C]17.1[/C][C]15.4446380492761[/C][C]1.65536195072391[/C][/ROW]
[ROW][C]166[/C][C]-7.8[/C][C]-22.0682651765304[/C][C]14.2682651765304[/C][/ROW]
[ROW][C]167[/C][C]-10[/C][C]-2.46503937007874[/C][C]-7.53496062992126[/C][/ROW]
[ROW][C]168[/C][C]-58[/C][C]-74.3113064092795[/C][C]16.3113064092795[/C][/ROW]
[ROW][C]169[/C][C]14[/C][C]-9.89542291084582[/C][C]23.8954229108458[/C][/ROW]
[ROW][C]170[/C][C]15.8[/C][C]22.2690932181864[/C][C]-6.46909321818644[/C][/ROW]
[ROW][C]171[/C][C]46[/C][C]38.9239319278639[/C][C]7.07606807213614[/C][/ROW]
[ROW][C]172[/C][C]-8.9[/C][C]20.5400609601219[/C][C]-29.4400609601219[/C][/ROW]
[ROW][C]173[/C][C]-26.7[/C][C]-72.7244551689103[/C][C]46.0244551689103[/C][/ROW]
[ROW][C]174[/C][C]39[/C][C]22.772319024638[/C][C]16.227680975362[/C][/ROW]
[ROW][C]175[/C][C]-1.3[/C][C]31.1465125730251[/C][C]-32.4465125730251[/C][/ROW]
[ROW][C]176[/C][C]38.7[/C][C]17.1078028956058[/C][C]21.5921971043942[/C][/ROW]
[ROW][C]177[/C][C]22.1[/C][C]15.4432867665735[/C][C]6.65671323342647[/C][/ROW]
[ROW][C]178[/C][C]-49.2[/C][C]-22.0696164592329[/C][C]-27.1303835407671[/C][/ROW]
[ROW][C]179[/C][C]-3.4[/C][C]-2.4663906527813[/C][C]-0.933609347218698[/C][/ROW]
[ROW][C]180[/C][C]-86.7[/C][C]-74.3126576919821[/C][C]-12.387342308018[/C][/ROW]
[ROW][C]181[/C][C]-24.3[/C][C]-9.89677419354839[/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]20.5387096774194[/C][C]-16.1387096774194[/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]7.35483870967741[/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]-2.46774193548387[/C][C]9.46774193548387[/C][/ROW]
[ROW][C]192[/C][C]-73[/C][C]-74.3140089746846[/C][C]1.31400897468462[/C][/ROW]
[ROW][C]193[/C][C]5.7[/C][C]-9.89812547625095[/C][C]15.598125476251[/C][/ROW]
[ROW][C]194[/C][C]23.6[/C][C]22.2663906527813[/C][C]1.3336093472187[/C][/ROW]
[ROW][C]195[/C][C]39.4[/C][C]38.9212293624587[/C][C]0.478770637541274[/C][/ROW]
[ROW][C]196[/C][C]30.3[/C][C]20.5373583947168[/C][C]9.76264160528321[/C][/ROW]
[ROW][C]197[/C][C]-92.5[/C][C]-72.7271577343155[/C][C]-19.7728422656845[/C][/ROW]
[ROW][C]198[/C][C]77.8[/C][C]22.7696164592329[/C][C]55.0303835407671[/C][/ROW]
[ROW][C]199[/C][C]12.4[/C][C]31.14381000762[/C][C]-18.74381000762[/C][/ROW]
[ROW][C]200[/C][C]28.9[/C][C]17.1051003302007[/C][C]11.7948996697993[/C][/ROW]
[ROW][C]201[/C][C]6.4[/C][C]15.4405842011684[/C][C]-9.04058420116841[/C][/ROW]
[ROW][C]202[/C][C]-12[/C][C]-22.072319024638[/C][C]10.072319024638[/C][/ROW]
[ROW][C]203[/C][C]-9.1[/C][C]-2.46909321818644[/C][C]-6.63090678181356[/C][/ROW]
[ROW][C]204[/C][C]-53.2[/C][C]-74.3153602573872[/C][C]21.1153602573872[/C][/ROW]
[ROW][C]205[/C][C]-23.1[/C][C]-9.89947675895352[/C][C]-13.2005232410465[/C][/ROW]
[ROW][C]206[/C][C]47.3[/C][C]22.2650393700787[/C][C]25.0349606299213[/C][/ROW]
[ROW][C]207[/C][C]20.7[/C][C]38.9198780797562[/C][C]-18.2198780797562[/C][/ROW]
[ROW][C]208[/C][C]27.8[/C][C]20.5360071120142[/C][C]7.26399288798577[/C][/ROW]
[ROW][C]209[/C][C]-84.3[/C][C]-72.728509017018[/C][C]-11.571490982982[/C][/ROW]
[ROW][C]210[/C][C]62.8[/C][C]22.7682651765303[/C][C]40.0317348234697[/C][/ROW]
[ROW][C]211[/C][C]26.4[/C][C]31.1424587249175[/C][C]-4.74245872491745[/C][/ROW]
[ROW][C]212[/C][C]32.3[/C][C]17.1037490474981[/C][C]15.1962509525019[/C][/ROW]
[ROW][C]213[/C][C]13.3[/C][C]15.4392329184658[/C][C]-2.13923291846584[/C][/ROW]
[ROW][C]214[/C][C]-17.9[/C][C]-22.0736703073406[/C][C]4.17367030734062[/C][/ROW]
[ROW][C]215[/C][C]10[/C][C]-2.470444500889[/C][C]12.470444500889[/C][/ROW]
[ROW][C]216[/C][C]-45.6[/C][C]-74.3167115400897[/C][C]28.7167115400897[/C][/ROW]
[ROW][C]217[/C][C]13.5[/C][C]-9.90082804165608[/C][C]23.4008280416561[/C][/ROW]
[ROW][C]218[/C][C]11.9[/C][C]22.2636880873762[/C][C]-10.3636880873762[/C][/ROW]
[ROW][C]219[/C][C]26[/C][C]38.9185267970536[/C][C]-12.9185267970536[/C][/ROW]
[ROW][C]220[/C][C]-6.3[/C][C]20.5346558293117[/C][C]-26.8346558293117[/C][/ROW]
[ROW][C]221[/C][C]-79.9[/C][C]-72.7298602997206[/C][C]-7.17013970027941[/C][/ROW]
[ROW][C]222[/C][C]54.2[/C][C]22.7669138938278[/C][C]31.4330861061722[/C][/ROW]
[ROW][C]223[/C][C]22.9[/C][C]31.1411074422149[/C][C]-8.24110744221489[/C][/ROW]
[ROW][C]224[/C][C]31.8[/C][C]17.1023977647955[/C][C]14.6976022352045[/C][/ROW]
[ROW][C]225[/C][C]3.8[/C][C]15.4378816357633[/C][C]-11.6378816357633[/C][/ROW]
[ROW][C]226[/C][C]-11.4[/C][C]-22.0750215900432[/C][C]10.6750215900432[/C][/ROW]
[ROW][C]227[/C][C]-8.6[/C][C]-2.47179578359157[/C][C]-6.12820421640843[/C][/ROW]
[ROW][C]228[/C][C]-49.4[/C][C]-74.3180628227923[/C][C]24.9180628227923[/C][/ROW]
[ROW][C]229[/C][C]-2.5[/C][C]-9.90217932435865[/C][C]7.40217932435865[/C][/ROW]
[ROW][C]230[/C][C]23[/C][C]22.2623368046736[/C][C]0.73766319532639[/C][/ROW]
[ROW][C]231[/C][C]29[/C][C]38.917175514351[/C][C]-9.91717551435103[/C][/ROW]
[ROW][C]232[/C][C]20.6[/C][C]20.5333045466091[/C][C]0.0666954533909062[/C][/ROW]
[ROW][C]233[/C][C]-117[/C][C]-72.7312115824232[/C][C]-44.2687884175768[/C][/ROW]
[ROW][C]234[/C][C]37.9[/C][C]22.7655626111252[/C][C]15.1344373888748[/C][/ROW]
[ROW][C]235[/C][C]30.7[/C][C]31.1397561595123[/C][C]-0.43975615951232[/C][/ROW]
[ROW][C]236[/C][C]4.7[/C][C]17.101046482093[/C][C]-12.401046482093[/C][/ROW]
[ROW][C]237[/C][C]-5.7[/C][C]15.4365303530607[/C][C]-21.1365303530607[/C][/ROW]
[ROW][C]238[/C][C]4.9[/C][C]-22.0763728727457[/C][C]26.9763728727457[/C][/ROW]
[ROW][C]239[/C][C]18.3[/C][C]-2.47314706629413[/C][C]20.7731470662941[/C][/ROW]
[ROW][C]240[/C][C]-35.4[/C][C]-74.3194141054949[/C][C]38.9194141054949[/C][/ROW]
[ROW][C]241[/C][C]-21.3[/C][C]-9.90353060706122[/C][C]-11.3964693929388[/C][/ROW]
[ROW][C]242[/C][C]35.8[/C][C]22.260985521971[/C][C]13.539014478029[/C][/ROW]
[ROW][C]243[/C][C]43.8[/C][C]38.9158242316485[/C][C]4.88417576835153[/C][/ROW]
[ROW][C]244[/C][C]18.7[/C][C]20.5319532639065[/C][C]-1.83195326390653[/C][/ROW]
[ROW][C]245[/C][C]-131.1[/C][C]-72.7325628651258[/C][C]-58.3674371348742[/C][/ROW]
[ROW][C]246[/C][C]39.8[/C][C]22.7642113284227[/C][C]17.0357886715773[/C][/ROW]
[ROW][C]247[/C][C]44.5[/C][C]31.1384048768098[/C][C]13.3615951231902[/C][/ROW]
[ROW][C]248[/C][C]16.5[/C][C]17.0996951993904[/C][C]-0.599695199390395[/C][/ROW]
[ROW][C]249[/C][C]9.7[/C][C]15.4351790703581[/C][C]-5.73517907035814[/C][/ROW]
[ROW][C]250[/C][C]-6.6[/C][C]-22.0777241554483[/C][C]15.4777241554483[/C][/ROW]
[ROW][C]251[/C][C]15.8[/C][C]-2.4744983489967[/C][C]18.2744983489967[/C][/ROW]
[ROW][C]252[/C][C]-45.7[/C][C]-74.3207653881974[/C][C]28.6207653881974[/C][/ROW]
[ROW][C]253[/C][C]-4.8[/C][C]-9.90488188976378[/C][C]5.10488188976378[/C][/ROW]
[ROW][C]254[/C][C]17.6[/C][C]22.2596342392685[/C][C]-4.65963423926848[/C][/ROW]
[ROW][C]255[/C][C]20.5[/C][C]38.9144729489459[/C][C]-18.4144729489459[/C][/ROW]
[ROW][C]256[/C][C]24.2[/C][C]20.530601981204[/C][C]3.66939801879603[/C][/ROW]
[ROW][C]257[/C][C]-109[/C][C]-72.7339141478283[/C][C]-36.2660858521717[/C][/ROW]
[ROW][C]258[/C][C]20.8[/C][C]22.7628600457201[/C][C]-1.96286004572009[/C][/ROW]
[ROW][C]259[/C][C]31.2[/C][C]31.1370535941072[/C][C]0.0629464058928114[/C][/ROW]
[ROW][C]260[/C][C]-8.8[/C][C]17.0983439166878[/C][C]-25.8983439166878[/C][/ROW]
[ROW][C]261[/C][C]11.8[/C][C]15.4338277876556[/C][C]-3.63382778765558[/C][/ROW]
[ROW][C]262[/C][C]13[/C][C]-22.0790754381509[/C][C]35.0790754381509[/C][/ROW]
[ROW][C]263[/C][C]8.3[/C][C]-2.47584963169926[/C][C]10.7758496316993[/C][/ROW]
[ROW][C]264[/C][C]-77.9[/C][C]-74.3221166709[/C][C]-3.5778833291[/C][/ROW]
[ROW][C]265[/C][C]-38.8[/C][C]-9.90623317246634[/C][C]-28.8937668275337[/C][/ROW]
[ROW][C]266[/C][C]6.1[/C][C]22.2582829565659[/C][C]-16.1582829565659[/C][/ROW]
[ROW][C]267[/C][C]18.1[/C][C]38.9131216662433[/C][C]-20.8131216662433[/C][/ROW]
[ROW][C]268[/C][C]16.8[/C][C]20.5292506985014[/C][C]-3.7292506985014[/C][/ROW]
[ROW][C]269[/C][C]-128.5[/C][C]-72.7352654305309[/C][C]-55.7647345694691[/C][/ROW]
[ROW][C]270[/C][C]15.9[/C][C]22.7615087630175[/C][C]-6.86150876301753[/C][/ROW]
[ROW][C]271[/C][C]29[/C][C]31.1357023114046[/C][C]-2.13570231140463[/C][/ROW]
[ROW][C]272[/C][C]-7.2[/C][C]17.0969926339853[/C][C]-24.2969926339853[/C][/ROW]
[ROW][C]273[/C][C]3.3[/C][C]15.432476504953[/C][C]-12.132476504953[/C][/ROW]
[ROW][C]274[/C][C]-34.8[/C][C]-22.0804267208534[/C][C]-12.7195732791466[/C][/ROW]
[ROW][C]275[/C][C]-2.9[/C][C]-2.47720091440183[/C][C]-0.422799085598174[/C][/ROW]
[ROW][C]276[/C][C]-77.8[/C][C]-74.3234679536026[/C][C]-3.47653204639742[/C][/ROW]
[ROW][C]277[/C][C]-2.8[/C][C]-9.90758445516892[/C][C]7.10758445516892[/C][/ROW]
[ROW][C]278[/C][C]26.7[/C][C]22.2569316738633[/C][C]4.44306832613665[/C][/ROW]
[ROW][C]279[/C][C]48.1[/C][C]38.9117703835408[/C][C]9.18822961645923[/C][/ROW]
[ROW][C]280[/C][C]30[/C][C]20.5278994157988[/C][C]9.47210058420116[/C][/ROW]
[ROW][C]281[/C][C]-109.6[/C][C]-72.7366167132334[/C][C]-36.8633832867666[/C][/ROW]
[ROW][C]282[/C][C]16[/C][C]22.760157480315[/C][C]-6.76015748031496[/C][/ROW]
[ROW][C]283[/C][C]26.9[/C][C]31.1343510287021[/C][C]-4.23435102870206[/C][/ROW]
[ROW][C]284[/C][C]22.1[/C][C]17.0956413512827[/C][C]5.0043586487173[/C][/ROW]
[ROW][C]285[/C][C]27[/C][C]15.4311252222505[/C][C]11.5688747777495[/C][/ROW]
[ROW][C]286[/C][C]-24.5[/C][C]-22.081778003556[/C][C]-2.41822199644399[/C][/ROW]
[ROW][C]287[/C][C]12[/C][C]-2.4785521971044[/C][C]14.4785521971044[/C][/ROW]
[ROW][C]288[/C][C]-75.2[/C][C]-74.3248192363051[/C][C]-0.875180763694863[/C][/ROW]
[ROW][C]289[/C][C]3.5[/C][C]-9.90893573787148[/C][C]13.4089357378715[/C][/ROW]
[ROW][C]290[/C][C]19.7[/C][C]22.2555803911608[/C][C]-2.55558039116078[/C][/ROW]
[ROW][C]291[/C][C]51.8[/C][C]38.9104191008382[/C][C]12.8895808991618[/C][/ROW]
[ROW][C]292[/C][C]35.3[/C][C]20.5265481330963[/C][C]14.7734518669037[/C][/ROW]
[ROW][C]293[/C][C]-108.2[/C][C]-72.737967995936[/C][C]-35.462032004064[/C][/ROW]
[ROW][C]294[/C][C]25.3[/C][C]22.7588061976124[/C][C]2.5411938023876[/C][/ROW]
[ROW][C]295[/C][C]31.6[/C][C]31.1329997459995[/C][C]0.467000254000506[/C][/ROW]
[ROW][C]296[/C][C]19.9[/C][C]17.0942900685801[/C][C]2.80570993141986[/C][/ROW]
[ROW][C]297[/C][C]18.8[/C][C]15.4297739395479[/C][C]3.37022606045212[/C][/ROW]
[ROW][C]298[/C][C]20.4[/C][C]-22.0831292862586[/C][C]42.4831292862586[/C][/ROW]
[ROW][C]299[/C][C]15[/C][C]-2.47990347980696[/C][C]17.479903479807[/C][/ROW]
[ROW][C]300[/C][C]-55.9[/C][C]-74.3261705190077[/C][C]18.4261705190077[/C][/ROW]
[ROW][C]301[/C][C]-17[/C][C]-9.91028702057404[/C][C]-7.08971297942596[/C][/ROW]
[ROW][C]302[/C][C]33.3[/C][C]22.2542291084582[/C][C]11.0457708915418[/C][/ROW]
[ROW][C]303[/C][C]33.8[/C][C]38.9090678181356[/C][C]-5.10906781813564[/C][/ROW]
[ROW][C]304[/C][C]37.5[/C][C]20.5251968503937[/C][C]16.9748031496063[/C][/ROW]
[ROW][C]305[/C][C]-104.8[/C][C]-72.7393192786386[/C][C]-32.0606807213614[/C][/ROW]
[ROW][C]306[/C][C]29.7[/C][C]22.7574549149098[/C][C]6.94254508509016[/C][/ROW]
[ROW][C]307[/C][C]34.2[/C][C]31.1316484632969[/C][C]3.06835153670307[/C][/ROW]
[ROW][C]308[/C][C]4.3[/C][C]17.0929387858776[/C][C]-12.7929387858776[/C][/ROW]
[ROW][C]309[/C][C]40.2[/C][C]15.4284226568453[/C][C]24.7715773431547[/C][/ROW]
[ROW][C]310[/C][C]-29.3[/C][C]-22.0844805689611[/C][C]-7.21551943103886[/C][/ROW]
[ROW][C]311[/C][C]-0.2[/C][C]-2.48125476250953[/C][C]2.28125476250952[/C][/ROW]
[ROW][C]312[/C][C]-95[/C][C]-74.3275218017103[/C][C]-20.6724781982897[/C][/ROW]
[ROW][C]313[/C][C]-13.2[/C][C]-9.91163830327661[/C][C]-3.28836169672339[/C][/ROW]
[ROW][C]314[/C][C]38.5[/C][C]22.2528778257556[/C][C]16.2471221742444[/C][/ROW]
[ROW][C]315[/C][C]45.4[/C][C]38.9077165354331[/C][C]6.49228346456693[/C][/ROW]
[ROW][C]316[/C][C]15.7[/C][C]20.5238455676911[/C][C]-4.82384556769114[/C][/ROW]
[ROW][C]317[/C][C]-123.6[/C][C]-72.7406705613411[/C][C]-50.8593294386589[/C][/ROW]
[ROW][C]318[/C][C]12[/C][C]22.7561036322073[/C][C]-10.7561036322073[/C][/ROW]
[ROW][C]319[/C][C]37.5[/C][C]31.1302971805944[/C][C]6.36970281940564[/C][/ROW]
[ROW][C]320[/C][C]-31.7[/C][C]17.091587503175[/C][C]-48.791587503175[/C][/ROW]
[ROW][C]321[/C][C]15.8[/C][C]15.4270713741427[/C][C]0.372928625857252[/C][/ROW]
[ROW][C]322[/C][C]-64.1[/C][C]-22.0858318516637[/C][C]-42.0141681483363[/C][/ROW]
[ROW][C]323[/C][C]-42.1[/C][C]-2.48260604521209[/C][C]-39.6173939547879[/C][/ROW]
[ROW][C]324[/C][C]-207.4[/C][C]-74.3288730844129[/C][C]-133.071126915587[/C][/ROW]
[ROW][C]325[/C][C]-12.9[/C][C]-9.91298958597918[/C][C]-2.98701041402082[/C][/ROW]
[ROW][C]326[/C][C]-5[/C][C]22.2515265430531[/C][C]-27.2515265430531[/C][/ROW]
[ROW][C]327[/C][C]53.9[/C][C]38.9063652527305[/C][C]14.9936347472695[/C][/ROW]
[ROW][C]328[/C][C]19.7[/C][C]20.5224942849886[/C][C]-0.822494284988573[/C][/ROW]
[ROW][C]329[/C][C]-94.6[/C][C]-72.7420218440437[/C][C]-21.8579781559563[/C][/ROW]
[ROW][C]330[/C][C]36[/C][C]22.7547523495047[/C][C]13.2452476504953[/C][/ROW]
[ROW][C]331[/C][C]51.3[/C][C]31.1289458978918[/C][C]20.1710541021082[/C][/ROW]
[ROW][C]332[/C][C]17.4[/C][C]17.0902362204724[/C][C]0.309763779527561[/C][/ROW]
[ROW][C]333[/C][C]27.8[/C][C]15.4257200914402[/C][C]12.3742799085598[/C][/ROW]
[ROW][C]334[/C][C]1.3[/C][C]-22.0871831343663[/C][C]23.3871831343663[/C][/ROW]
[ROW][C]335[/C][C]3.6[/C][C]-2.48395732791465[/C][C]6.08395732791465[/C][/ROW]
[ROW][C]336[/C][C]-97.9[/C][C]-74.3302243671154[/C][C]-23.5697756328846[/C][/ROW]
[ROW][C]337[/C][C]14.1[/C][C]-9.91434086868174[/C][C]24.0143408686817[/C][/ROW]
[ROW][C]338[/C][C]50.8[/C][C]22.2501752603505[/C][C]28.5498247396495[/C][/ROW]
[ROW][C]339[/C][C]63.5[/C][C]38.9050139700279[/C][C]24.5949860299721[/C][/ROW]
[ROW][C]340[/C][C]58.6[/C][C]20.521143002286[/C][C]38.078856997714[/C][/ROW]
[ROW][C]341[/C][C]-135.1[/C][C]-72.7433731267462[/C][C]-62.3566268732538[/C][/ROW]
[ROW][C]342[/C][C]7.8[/C][C]22.7534010668021[/C][C]-14.9534010668021[/C][/ROW]
[ROW][C]343[/C][C]25.5[/C][C]31.1275946151892[/C][C]-5.62759461518923[/C][/ROW]
[ROW][C]344[/C][C]29.6[/C][C]17.0888849377699[/C][C]12.5111150622301[/C][/ROW]
[ROW][C]345[/C][C]19.3[/C][C]15.4243688087376[/C][C]3.87563119126239[/C][/ROW]
[ROW][C]346[/C][C]-26.2[/C][C]-22.0885344170688[/C][C]-4.11146558293116[/C][/ROW]
[ROW][C]347[/C][C]7.3[/C][C]-2.48530861061722[/C][C]9.78530861061722[/C][/ROW]
[ROW][C]348[/C][C]-82.6[/C][C]-74.331575649818[/C][C]-8.26842435018203[/C][/ROW]
[ROW][C]349[/C][C]-26.1[/C][C]-9.91569215138431[/C][C]-16.1843078486157[/C][/ROW]
[ROW][C]350[/C][C]55.3[/C][C]22.248823977648[/C][C]33.051176022352[/C][/ROW]
[ROW][C]351[/C][C]98.8[/C][C]38.9036626873254[/C][C]59.8963373126746[/C][/ROW]
[ROW][C]352[/C][C]41.7[/C][C]20.5197917195834[/C][C]21.1802082804166[/C][/ROW]
[ROW][C]353[/C][C]-130.2[/C][C]-72.7447244094488[/C][C]-57.4552755905511[/C][/ROW]
[ROW][C]354[/C][C]51.2[/C][C]22.7520497840996[/C][C]28.4479502159004[/C][/ROW]
[ROW][C]355[/C][C]18.4[/C][C]31.1262433324867[/C][C]-12.7262433324867[/C][/ROW]
[ROW][C]356[/C][C]32[/C][C]17.0875336550673[/C][C]14.9124663449327[/C][/ROW]
[ROW][C]357[/C][C]21.6[/C][C]15.4230175260351[/C][C]6.17698247396495[/C][/ROW]
[ROW][C]358[/C][C]-12.5[/C][C]-22.0898856997714[/C][C]9.5898856997714[/C][/ROW]
[ROW][C]359[/C][C]46.6[/C][C]-2.48665989331978[/C][C]49.0866598933198[/C][/ROW]
[ROW][C]360[/C][C]-101.7[/C][C]-74.3329269325205[/C][C]-27.3670730674795[/C][/ROW]
[ROW][C]361[/C][C]15.8[/C][C]-9.91704343408687[/C][C]25.7170434340869[/C][/ROW]
[ROW][C]362[/C][C]26[/C][C]22.2474726949454[/C][C]3.75252730505461[/C][/ROW]
[ROW][C]363[/C][C]79.1[/C][C]38.9023114046228[/C][C]40.1976885953772[/C][/ROW]
[ROW][C]364[/C][C]23.1[/C][C]20.5184404368809[/C][C]2.58155956311913[/C][/ROW]
[ROW][C]365[/C][C]-86.9[/C][C]-72.7460756921514[/C][C]-14.1539243078486[/C][/ROW]
[ROW][C]366[/C][C]-11.2[/C][C]22.750698501397[/C][C]-33.950698501397[/C][/ROW]
[ROW][C]367[/C][C]50.7[/C][C]31.1248920497841[/C][C]19.5751079502159[/C][/ROW]
[ROW][C]368[/C][C]13.4[/C][C]17.0861823723647[/C][C]-3.68618237236474[/C][/ROW]
[ROW][C]369[/C][C]33.7[/C][C]15.4216662433325[/C][C]18.2783337566675[/C][/ROW]
[ROW][C]370[/C][C]-16.9[/C][C]-22.091236982474[/C][C]5.19123698247397[/C][/ROW]
[ROW][C]371[/C][C]-9.6[/C][C]-2.48801117602235[/C][C]-7.11198882397765[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=147093&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=147093&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
1-45.6-9.87650495300985-35.7234950469902
216.122.2880111760224-6.18801117602236
323.938.9428498856998-15.0428498856998
439.320.558978917957818.7410210820422
5-39.4-72.705537211074533.3055372110745
6-0.322.7912369824739-23.0912369824739
717.331.165430530861-13.865430530861
817.717.12672085344170.573279146558254
931.415.462204724409415.9377952755906
10-28.6-22.050698501397-6.549301498603
11-17.2-2.44747269494538-14.7525273050546
12-79-74.2937397341461-4.70626026585393
13-47.9-9.87785623571246-38.0221437642875
149.122.2866598933198-13.1866598933198
1510.638.9414986029972-28.3414986029972
16-23.920.5576276352553-44.4576276352553
17-45-72.70688849377727.706888493777
18-42.222.7898856997714-64.9898856997714
1943.231.164079248158512.0359207518415
2032.117.125369570739114.9746304292609
21-15.315.4608534417069-30.7608534417069
2221.8-22.052049784099643.8520497840996
23-12-2.44882397764795-9.55117602235205
24-95.8-74.2950910168487-21.5049089831513
25-14.3-9.87920751841504-4.42079248158496
2647.822.285308610617225.5146913893828
2764.838.940147320294625.8598526797054
2840.220.556276352552719.6437236474473
29-28.8-72.708239776479643.9082397764796
3023.522.78853441706880.711465582931162
3170.331.162727965455939.1372720345441
3212.317.1240182880366-4.82401828803657
3343.515.459502159004328.0404978409957
34-30.1-22.0534010668021-8.04659893319787
35-5.3-2.45017526035052-2.84982473964948
36-24-74.296442299551350.2964422995513
3711.1-9.880558801117620.9805588011176
3821.522.2839573279147-0.783957327914657
3938.538.9387960375921-0.438796037592075
4016.820.5549250698501-3.75492506985014
41-36.2-72.709591059182136.5095910591821
42622.7871831343663-16.7871831343663
4326.631.1613766827534-4.56137668275337
44-817.122667005334-25.122667005334
4513.215.4581508763018-2.25815087630176
46-23.6-22.0547523495047-1.54524765049531
4719.4-2.4515265430530921.8515265430531
48-46.2-74.297793582253828.0977935822538
49-8.2-9.881910083820171.68191008382017
5033.822.282606045212111.5173939547879
5116.638.9374447548895-22.3374447548895
525.420.5535737871476-15.1535737871476
53-25-72.710942341884747.7109423418847
54-5.322.7858318516637-28.0858318516637
5516.731.1600254000508-14.4600254000508
561917.12131572263141.87868427736856
5724.815.45679959359929.34320040640081
58-11.4-22.056103632207310.6561036322073
594.9-2.452877825755647.35287782575564
60-58.7-74.299144864956415.5991448649564
6116.8-9.8832613665227326.6832613665227
6213.622.2812547625095-8.68125476250953
636.438.9360934721869-32.5360934721869
6422.820.5522225044452.24777749555499
65-19.6-72.712293624587353.1122936245873
662.222.7844805689611-20.5844805689611
6719.831.1586741173482-11.3586741173482
68-10.717.1199644399289-27.8199644399289
694.715.4554483108966-10.7554483108966
70-44.5-22.0574549149098-22.4425450850902
71-34.7-2.45422910845821-32.2457708915418
72-119.7-74.300496147659-45.399503852341
73-42.2-9.8846126492253-32.3153873507747
74-5.422.279903479807-27.679903479807
7519.138.9347421894844-19.8347421894844
7618.820.5508712217424-1.75087122174245
77-2.3-72.713644907289870.4136449072898
780.222.7831292862586-22.5831292862586
7920.931.1573228346457-10.2573228346457
803.717.1186131572263-13.4186131572263
8150.415.454097028194134.9459029718059
82-18.6-22.05880619761243.45880619761239
8310.6-2.4555803911607813.0555803911608
84-66-74.30184743036158.30184743036153
8510-9.8859639319278619.8859639319279
8627.222.27855219710444.92144780289561
8713.538.9333909067818-25.4333909067818
8847.220.549519939039926.6504800609601
89-20.3-72.714996189992452.4149961899924
9023.122.7817780035560.31822199644399
9112.631.1559715519431-18.5559715519431
9219.817.11726187452372.68273812547626
935.415.4527457454915-10.0527457454915
94-25.2-22.060157480315-3.13984251968504
95-6.5-2.45693167386335-4.04306832613665
96-46.5-74.303198713064127.8031987130641
97-2.6-9.887315214630437.28731521463043
98-0.322.2772009144018-22.5772009144018
9938.538.9320396240793-0.432039624079249
100-8.920.5481686563373-29.4481686563373
101-38-72.716347472694934.7163474726949
10219.522.7804267208534-3.28042672085345
10351.731.154620269240520.5453797307595
10419.417.11591059182122.28408940817882
10518.215.45139446278892.74860553721107
106-50.8-22.0615087630175-28.7384912369825
107-6.1-2.45828295656591-3.64171704343409
108-54.6-74.304549995766719.7045499957667
10912.1-9.8886664973329921.988666497333
11026.322.27584963169934.02415036830074
11119.538.9306883413767-19.4306883413767
112-0.820.5468173736347-21.3468173736347
113-49.6-72.717698755397523.1176987553975
11428.822.77907543815096.02092456184912
11531.731.1532689865380.546731013462026
1162.317.1145593091186-14.8145593091186
1173.815.4500431800864-11.6500431800864
118-66.2-22.0628600457201-44.1371399542799
119-20.5-2.45963423926847-18.0403657607315
120-113.2-74.3059012784692-38.8940987215308
121-65.2-9.89001778003556-55.3099822199644
122-3.922.2744983489967-26.1744983489967
1239.138.9293370586741-29.8293370586741
12423.220.54546609093222.65453390906782
125-39.1-72.719050038100133.6190500381001
12612.522.7777241554483-10.2777241554483
12749.131.151917703835417.9480822961646
12854.917.11320802641637.786791973584
12930.815.448691897383815.3513081026162
130-3.5-22.064211328422718.5642113284227
131-28.3-2.46098552197104-25.839014478029
132-61-74.307252561171813.3072525611718
133-2-9.891369062738137.89136906273813
1344022.273147066294117.7268529337059
1357438.927985775971535.0720142240285
13623.120.54411480822962.55588519177038
137-45.3-72.720401320802627.4204013208026
13817.522.7763728727457-5.27637287274575
13925.831.1505664211328-5.35056642113284
14015.217.1118567437135-1.91185674371348
141-3.615.4473406146812-19.0473406146812
142-40.5-22.0655626111252-18.4344373888748
14311.5-2.4623368046736213.9623368046736
144-59.8-74.308603843874414.5086038438744
14523.3-9.892720345440733.1927203454407
146-27.822.2717957835916-50.0717957835916
14755.738.92663449326916.773365506731
14822.720.54276352552712.15723647447295
149-79.2-72.7217526035052-6.4782473964948
15028.822.77502159004326.02497840995681
15117.331.1492151384303-13.8492151384303
15239.617.110505461010922.4894945389891
153-22.215.4459893319787-37.6459893319787
154-43-22.0669138938278-20.9330861061722
155-50.3-2.46368808737618-47.8363119126238
156-86.5-74.3099551265769-12.1900448734231
157-31.9-9.89407162814326-22.0059283718567
15823.122.2704445008890.829555499110998
15953.638.925283210566414.6747167894336
16021.620.54141224282451.05858775717551
161-64.2-72.72310388620788.52310388620776
16235.222.773670307340612.4263296926594
16352.131.147863855727720.9521361442723
16440.617.109154178308423.4908458216916
16517.115.44463804927611.65536195072391
166-7.8-22.068265176530414.2682651765304
167-10-2.46503937007874-7.53496062992126
168-58-74.311306409279516.3113064092795
16914-9.8954229108458223.8954229108458
17015.822.2690932181864-6.46909321818644
1714638.92393192786397.07606807213614
172-8.920.5400609601219-29.4400609601219
173-26.7-72.724455168910346.0244551689103
1743922.77231902463816.227680975362
175-1.331.1465125730251-32.4465125730251
17638.717.107802895605821.5921971043942
17722.115.44328676657356.65671323342647
178-49.2-22.0696164592329-27.1303835407671
179-3.4-2.4663906527813-0.933609347218698
180-86.7-74.3126576919821-12.387342308018
181-24.3-9.89677419354839-14.4032258064516
18242.822.267741935483920.5322580645161
18344.938.92258064516135.97741935483871
1844.420.5387096774194-16.1387096774194
185-60.5-72.725806451612912.2258064516129
18641.422.770967741935518.6290322580645
18738.531.14516129032267.35483870967741
18828.517.106451612903211.3935483870968
1897.615.441935483871-7.84193548387097
190-46.4-22.0709677419355-24.3290322580645
1917-2.467741935483879.46774193548387
192-73-74.31400897468461.31400897468462
1935.7-9.8981254762509515.598125476251
19423.622.26639065278131.3336093472187
19539.438.92122936245870.478770637541274
19630.320.53735839471689.76264160528321
197-92.5-72.7271577343155-19.7728422656845
19877.822.769616459232955.0303835407671
19912.431.14381000762-18.74381000762
20028.917.105100330200711.7948996697993
2016.415.4405842011684-9.04058420116841
202-12-22.07231902463810.072319024638
203-9.1-2.46909321818644-6.63090678181356
204-53.2-74.315360257387221.1153602573872
205-23.1-9.89947675895352-13.2005232410465
20647.322.265039370078725.0349606299213
20720.738.9198780797562-18.2198780797562
20827.820.53600711201427.26399288798577
209-84.3-72.728509017018-11.571490982982
21062.822.768265176530340.0317348234697
21126.431.1424587249175-4.74245872491745
21232.317.103749047498115.1962509525019
21313.315.4392329184658-2.13923291846584
214-17.9-22.07367030734064.17367030734062
21510-2.47044450088912.470444500889
216-45.6-74.316711540089728.7167115400897
21713.5-9.9008280416560823.4008280416561
21811.922.2636880873762-10.3636880873762
2192638.9185267970536-12.9185267970536
220-6.320.5346558293117-26.8346558293117
221-79.9-72.7298602997206-7.17013970027941
22254.222.766913893827831.4330861061722
22322.931.1411074422149-8.24110744221489
22431.817.102397764795514.6976022352045
2253.815.4378816357633-11.6378816357633
226-11.4-22.075021590043210.6750215900432
227-8.6-2.47179578359157-6.12820421640843
228-49.4-74.318062822792324.9180628227923
229-2.5-9.902179324358657.40217932435865
2302322.26233680467360.73766319532639
2312938.917175514351-9.91717551435103
23220.620.53330454660910.0666954533909062
233-117-72.7312115824232-44.2687884175768
23437.922.765562611125215.1344373888748
23530.731.1397561595123-0.43975615951232
2364.717.101046482093-12.401046482093
237-5.715.4365303530607-21.1365303530607
2384.9-22.076372872745726.9763728727457
23918.3-2.4731470662941320.7731470662941
240-35.4-74.319414105494938.9194141054949
241-21.3-9.90353060706122-11.3964693929388
24235.822.26098552197113.539014478029
24343.838.91582423164854.88417576835153
24418.720.5319532639065-1.83195326390653
245-131.1-72.7325628651258-58.3674371348742
24639.822.764211328422717.0357886715773
24744.531.138404876809813.3615951231902
24816.517.0996951993904-0.599695199390395
2499.715.4351790703581-5.73517907035814
250-6.6-22.077724155448315.4777241554483
25115.8-2.474498348996718.2744983489967
252-45.7-74.320765388197428.6207653881974
253-4.8-9.904881889763785.10488188976378
25417.622.2596342392685-4.65963423926848
25520.538.9144729489459-18.4144729489459
25624.220.5306019812043.66939801879603
257-109-72.7339141478283-36.2660858521717
25820.822.7628600457201-1.96286004572009
25931.231.13705359410720.0629464058928114
260-8.817.0983439166878-25.8983439166878
26111.815.4338277876556-3.63382778765558
26213-22.079075438150935.0790754381509
2638.3-2.4758496316992610.7758496316993
264-77.9-74.3221166709-3.5778833291
265-38.8-9.90623317246634-28.8937668275337
2666.122.2582829565659-16.1582829565659
26718.138.9131216662433-20.8131216662433
26816.820.5292506985014-3.7292506985014
269-128.5-72.7352654305309-55.7647345694691
27015.922.7615087630175-6.86150876301753
2712931.1357023114046-2.13570231140463
272-7.217.0969926339853-24.2969926339853
2733.315.432476504953-12.132476504953
274-34.8-22.0804267208534-12.7195732791466
275-2.9-2.47720091440183-0.422799085598174
276-77.8-74.3234679536026-3.47653204639742
277-2.8-9.907584455168927.10758445516892
27826.722.25693167386334.44306832613665
27948.138.91177038354089.18822961645923
2803020.52789941579889.47210058420116
281-109.6-72.7366167132334-36.8633832867666
2821622.760157480315-6.76015748031496
28326.931.1343510287021-4.23435102870206
28422.117.09564135128275.0043586487173
2852715.431125222250511.5688747777495
286-24.5-22.081778003556-2.41822199644399
28712-2.478552197104414.4785521971044
288-75.2-74.3248192363051-0.875180763694863
2893.5-9.9089357378714813.4089357378715
29019.722.2555803911608-2.55558039116078
29151.838.910419100838212.8895808991618
29235.320.526548133096314.7734518669037
293-108.2-72.737967995936-35.462032004064
29425.322.75880619761242.5411938023876
29531.631.13299974599950.467000254000506
29619.917.09429006858012.80570993141986
29718.815.42977393954793.37022606045212
29820.4-22.083129286258642.4831292862586
29915-2.4799034798069617.479903479807
300-55.9-74.326170519007718.4261705190077
301-17-9.91028702057404-7.08971297942596
30233.322.254229108458211.0457708915418
30333.838.9090678181356-5.10906781813564
30437.520.525196850393716.9748031496063
305-104.8-72.7393192786386-32.0606807213614
30629.722.75745491490986.94254508509016
30734.231.13164846329693.06835153670307
3084.317.0929387858776-12.7929387858776
30940.215.428422656845324.7715773431547
310-29.3-22.0844805689611-7.21551943103886
311-0.2-2.481254762509532.28125476250952
312-95-74.3275218017103-20.6724781982897
313-13.2-9.91163830327661-3.28836169672339
31438.522.252877825755616.2471221742444
31545.438.90771653543316.49228346456693
31615.720.5238455676911-4.82384556769114
317-123.6-72.7406705613411-50.8593294386589
3181222.7561036322073-10.7561036322073
31937.531.13029718059446.36970281940564
320-31.717.091587503175-48.791587503175
32115.815.42707137414270.372928625857252
322-64.1-22.0858318516637-42.0141681483363
323-42.1-2.48260604521209-39.6173939547879
324-207.4-74.3288730844129-133.071126915587
325-12.9-9.91298958597918-2.98701041402082
326-522.2515265430531-27.2515265430531
32753.938.906365252730514.9936347472695
32819.720.5224942849886-0.822494284988573
329-94.6-72.7420218440437-21.8579781559563
3303622.754752349504713.2452476504953
33151.331.128945897891820.1710541021082
33217.417.09023622047240.309763779527561
33327.815.425720091440212.3742799085598
3341.3-22.087183134366323.3871831343663
3353.6-2.483957327914656.08395732791465
336-97.9-74.3302243671154-23.5697756328846
33714.1-9.9143408686817424.0143408686817
33850.822.250175260350528.5498247396495
33963.538.905013970027924.5949860299721
34058.620.52114300228638.078856997714
341-135.1-72.7433731267462-62.3566268732538
3427.822.7534010668021-14.9534010668021
34325.531.1275946151892-5.62759461518923
34429.617.088884937769912.5111150622301
34519.315.42436880873763.87563119126239
346-26.2-22.0885344170688-4.11146558293116
3477.3-2.485308610617229.78530861061722
348-82.6-74.331575649818-8.26842435018203
349-26.1-9.91569215138431-16.1843078486157
35055.322.24882397764833.051176022352
35198.838.903662687325459.8963373126746
35241.720.519791719583421.1802082804166
353-130.2-72.7447244094488-57.4552755905511
35451.222.752049784099628.4479502159004
35518.431.1262433324867-12.7262433324867
3563217.087533655067314.9124663449327
35721.615.42301752603516.17698247396495
358-12.5-22.08988569977149.5898856997714
35946.6-2.4866598933197849.0866598933198
360-101.7-74.3329269325205-27.3670730674795
36115.8-9.9170434340868725.7170434340869
3622622.24747269494543.75252730505461
36379.138.902311404622840.1976885953772
36423.120.51844043688092.58155956311913
365-86.9-72.7460756921514-14.1539243078486
366-11.222.750698501397-33.950698501397
36750.731.124892049784119.5751079502159
36813.417.0861823723647-3.68618237236474
36933.715.421666243332518.2783337566675
370-16.9-22.0912369824745.19123698247397
371-9.6-2.48801117602235-7.11198882397765







Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
160.4534293616467560.9068587232935130.546570638353244
170.3212482613681560.6424965227363130.678751738631844
180.2675571581651670.5351143163303340.732442841834833
190.4022343382674470.8044686765348930.597765661732553
200.3746557988360240.7493115976720470.625344201163976
210.3858786763000760.7717573526001520.614121323699924
220.6408129437462730.7183741125074550.359187056253727
230.5638519300176140.8722961399647720.436148069982386
240.4816844961062890.9633689922125790.518315503893711
250.5598739697917560.8802520604164880.440126030208244
260.5962307760117580.8075384479764840.403769223988242
270.6639749038899290.6720501922201410.336025096110071
280.6311270234881930.7377459530236130.368872976511807
290.5720013676894320.8559972646211350.427998632310568
300.5768184500826610.8463630998346770.423181549917339
310.5599948407613290.8800103184773420.440005159238671
320.5572365396647710.8855269206704580.442763460335229
330.5244686203460530.9510627593078950.475531379653947
340.5875989120980410.8248021758039170.412401087901959
350.5261993280208140.9476013439583710.473800671979186
360.6405580278386550.718883944322690.359441972161345
370.6247938603814770.7504122792370450.375206139618523
380.6157916663517720.7684166672964560.384208333648228
390.5767259302336580.8465481395326850.423274069766342
400.5520475061489010.8959049877021970.447952493851099
410.5286986496005080.9426027007989840.471301350399492
420.4778525136078780.9557050272157560.522147486392122
430.4982506364414630.9965012728829250.501749363558537
440.5678776042627120.8642447914745770.432122395737288
450.5364876366068170.9270247267863670.463512363393183
460.514198980975110.9716020380497810.48580101902489
470.4937947812072240.9875895624144480.506205218792776
480.4559678470573060.9119356941146130.544032152942694
490.406192686468970.812385372937940.59380731353103
500.3603996470944420.7207992941888840.639600352905558
510.3786446520201820.7572893040403640.621355347979818
520.3698291216272230.7396582432544450.630170878372777
530.3513652582430190.7027305164860380.648634741756981
540.3254740209060920.6509480418121850.674525979093908
550.3433375170739440.6866750341478870.656662482926056
560.3012772376132070.6025544752264130.698722762386793
570.2625842967082140.5251685934164280.737415703291786
580.2279365746804310.4558731493608630.772063425319569
590.1949133089896540.3898266179793070.805086691010346
600.1680099957130930.3360199914261860.831990004286907
610.1775452557923520.3550905115847040.822454744207648
620.1699811514362380.3399623028724760.830018848563762
630.1962878049202190.3925756098404380.803712195079781
640.1670432842617450.334086568523490.832956715738255
650.1688618168794780.3377236337589570.831138183120522
660.1469604113265160.2939208226530320.853039588673484
670.141673541294690.2833470825893810.85832645870531
680.1594593723836780.3189187447673560.840540627616322
690.1497786467876060.2995572935752120.850221353212394
700.1717474968327430.3434949936654850.828252503167257
710.2035278957095560.4070557914191110.796472104290444
720.3618428042539630.7236856085079270.638157195746037
730.3762297821492170.7524595642984340.623770217850783
740.3868580089969850.7737160179939690.613141991003015
750.3574650842007940.7149301684015870.642534915799206
760.3221699276810320.6443398553620640.677830072318968
770.4226031727673560.8452063455347130.577396827232644
780.3976363928697420.7952727857394840.602363607130258
790.3671631534969220.7343263069938440.632836846503078
800.3357842022166890.6715684044333790.664215797783311
810.3774189753785720.7548379507571450.622581024621428
820.3415684942654930.6831369885309850.658431505734507
830.3249680070430290.6499360140860580.675031992956971
840.2931950062842660.5863900125685320.706804993715734
850.3009804087982270.6019608175964540.699019591201773
860.270731673187140.5414633463742790.72926832681286
870.2593714614402640.5187429228805270.740628538559736
880.2730576063657330.5461152127314670.726942393634267
890.3017139667675210.6034279335350410.698286033232479
900.2942946027368260.5885892054736510.705705397263174
910.2875155212012370.5750310424024740.712484478798763
920.2596033203927620.5192066407855240.740396679607238
930.2462285721658350.4924571443316690.753771427834165
940.2208325496093960.4416650992187920.779167450390604
950.1954315231974230.3908630463948460.804568476802577
960.1971332004061660.3942664008123330.802866799593834
970.1765675015473310.3531350030946620.823432498452669
980.1781054357818030.3562108715636060.821894564218197
990.1605893736054160.3211787472108320.839410626394584
1000.1815342192542920.3630684385085830.818465780745709
1010.1934910389788080.3869820779576170.806508961021192
1020.1814395973207610.3628791946415220.818560402679239
1030.178389432697530.3567788653950610.82161056730247
1040.157569608969460.3151392179389190.84243039103054
1050.1380056816833840.2760113633667670.861994318316616
1060.1579489178899960.3158978357799930.842051082110004
1070.1382179928807110.2764359857614230.861782007119289
1080.1277899698866750.255579939773350.872210030113325
1090.1287730845396850.257546169079370.871226915460315
1100.112279034006160.2245580680123210.88772096599384
1110.1034808262932510.2069616525865030.896519173706749
1120.1021489111080020.2042978222160040.897851088891998
1130.1141573436036880.2283146872073770.885842656396312
1140.111993727045690.2239874540913810.88800627295431
1150.0966504819586610.1933009639173220.903349518041339
1160.08751634864380120.1750326972876020.912483651356199
1170.08092593608982920.1618518721796580.919074063910171
1180.1252965827826910.2505931655653810.874703417217309
1190.118093673922220.2361873478444390.88190632607778
1200.1738297295720520.3476594591441030.826170270427948
1210.2969596780581940.5939193561163880.703040321941806
1220.3004577693219710.6009155386439430.699542230678029
1230.3070323146238040.6140646292476080.692967685376196
1240.2834779025791060.5669558051582110.716522097420894
1250.3083021810150480.6166043620300950.691697818984953
1260.2925812158529970.5851624317059940.707418784147003
1270.2866783329937140.5733566659874280.713321667006286
1280.3659931794651450.7319863589302890.634006820534855
1290.3490615516394260.6981231032788520.650938448360574
1300.3494345252326040.6988690504652070.650565474767396
1310.3554427812703080.7108855625406160.644557218729692
1320.334364427130180.6687288542603610.66563557286982
1330.3142965956955820.6285931913911630.685703404304418
1340.3109239551002990.6218479102005970.689076044899701
1350.3931787130157530.7863574260315060.606821286984247
1360.3640472125686410.7280944251372810.63595278743136
1370.4016817156574680.8033634313149370.598318284342532
1380.3807299159059980.7614598318119950.619270084094002
1390.3537465838040860.7074931676081720.646253416195914
1400.3249933780482440.6499867560964880.675006621951756
1410.3238125883255030.6476251766510060.676187411674497
1420.3143426405965190.6286852811930390.685657359403481
1430.3028616799030170.6057233598060330.697138320096983
1440.2847280196101930.5694560392203850.715271980389808
1450.3259577962605250.6519155925210490.674042203739475
1460.4532696202829280.9065392405658560.546730379717072
1470.4525241398057380.9050482796114760.547475860194262
1480.4225277134596170.8450554269192330.577472286540384
1490.4853938014892930.9707876029785860.514606198510707
1500.4717496227512510.9434992455025030.528250377248749
1510.4547972811454910.9095945622909810.545202718854509
1520.4568931894653970.9137863789307940.543106810534603
1530.522860859676540.9542782806469210.47713914032346
1540.5193184203646850.9613631592706310.480681579635315
1550.6310203806085690.7379592387828620.368979619391431
1560.6140071768589460.7719856462821070.385992823141054
1570.6150148522428280.7699702955143440.384985147757172
1580.5897751384408990.8204497231182020.410224861559101
1590.5819915462297560.8360169075404880.418008453770244
1600.5530966786339370.8938066427321260.446903321366063
1610.5792243294858740.8415513410282520.420775670514126
1620.5750616984746590.8498766030506810.424938301525341
1630.5716494170157520.8567011659684970.428350582984248
1640.5750933619998360.8498132760003290.424906638000164
1650.5451232279402990.9097535441194010.454876772059701
1660.530498449991750.93900310001650.46950155000825
1670.506758461296630.9864830774067390.49324153870337
1680.4909398226065170.9818796452130350.509060177393483
1690.4965563312559590.9931126625119170.503443668744041
1700.4713691644489860.9427383288979730.528630835551014
1710.446841920050940.893683840101880.55315807994906
1720.476613428657220.953226857314440.52338657134278
1730.6256726669702260.7486546660595470.374327333029774
1740.6210020285935790.7579959428128410.378997971406421
1750.6629933236005690.6740133527988620.337006676399431
1760.6612909949248750.6774180101502510.338709005075125
1770.6350835616229170.7298328767541660.364916438377083
1780.6566058709158380.6867882581683250.343394129084162
1790.6317921024221170.7364157951557650.368207897577883
1800.6158089428934580.7683821142130850.384191057106542
1810.602455868752250.79508826249550.39754413124775
1820.6002182565937910.7995634868124180.399781743406209
1830.57453330383580.8509333923283990.4254666961642
1840.5668383961604920.8663232076790150.433161603839508
1850.6236123538344730.7527752923310540.376387646165527
1860.6204724446705840.7590551106588320.379527555329416
1870.5938300962661220.8123398074677560.406169903733878
1880.5720562568927280.8558874862145430.427943743107272
1890.5471716501098710.9056566997802590.452828349890129
1900.5643362982842330.8713274034315350.435663701715767
1910.5420523828224380.9158952343551250.457947617177562
1920.5126444083788440.9747111832423120.487355591621156
1930.4963824066229490.9927648132458990.503617593377051
1940.4675672647922240.9351345295844490.532432735207776
1950.4395935161826360.8791870323652720.560406483817364
1960.4155230897901060.8310461795802130.584476910209894
1970.4845153532993350.9690307065986710.515484646700665
1980.6433058891813640.7133882216372730.356694110818636
1990.639159962596460.721680074807080.36084003740354
2000.6198871093979280.7602257812041430.380112890602072
2010.5970023870004940.8059952259990120.402997612999506
2020.5740843649817050.851831270036590.425915635018295
2030.5515397317854210.8969205364291590.448460268214579
2040.5530433451789580.8939133096420830.446956654821041
2050.536972310717940.9260553785641190.46302768928206
2060.5427576043532590.9144847912934830.457242395646741
2070.5434797867262450.9130404265475090.456520213273755
2080.515570199944540.9688596001109210.48442980005546
2090.5647719761207240.8704560477585530.435228023879276
2100.6314648174832320.7370703650335360.368535182516768
2110.6041322750024970.7917354499950060.395867724997503
2120.5936646829451960.8126706341096080.406335317054804
2130.5639869068632120.8720261862735750.436013093136788
2140.535389512173850.92922097565230.46461048782615
2150.5130969759754070.9738060480491850.486903024024593
2160.5504121054670160.8991757890659670.449587894532984
2170.5543258618477010.8913482763045980.445674138152299
2180.5331664733633240.9336670532733510.466833526636676
2190.5216139466816040.9567721066367920.478386053318396
2200.550517968841950.8989640623160990.44948203115805
2210.604957438952440.790085122095120.39504256104756
2220.6384585035233050.723082992953390.361541496476695
2230.6139581995919460.7720836008161070.386041800408054
2240.6085810166702440.7828379666595120.391418983329756
2250.5879708453612610.8240583092774790.412029154638739
2260.5630946545476840.8738106909046310.436905345452315
2270.538351115943290.9232977681134190.46164888405671
2280.5754786670848160.8490426658303690.424521332915184
2290.5488037803983060.9023924392033890.451196219601694
2300.5175850397184480.9648299205631040.482414960281552
2310.5017556925106190.9964886149787610.498244307489381
2320.4719355996012290.9438711992024580.528064400398771
2330.5673171682883720.8653656634232550.432682831711628
2340.5535961521386810.8928076957226380.446403847861319
2350.5220244291821490.9559511416357010.477975570817851
2360.498849496859730.9976989937194590.50115050314027
2370.5007208475595160.9985583048809690.499279152440484
2380.5121713775103060.9756572449793880.487828622489694
2390.5041544889958440.9916910220083120.495845511004156
2400.6383602576005060.7232794847989870.361639742399494
2410.6151268314198310.7697463371603380.384873168580169
2420.5950434700029810.8099130599940380.404956529997019
2430.5655179029770930.8689641940458140.434482097022907
2440.5359236998959890.9281526002080230.464076300104011
2450.65658824351250.6868235129750.3434117564875
2460.652162097743230.695675804513540.34783790225677
2470.6342504605369470.7314990789261060.365749539463053
2480.6098058432268060.7803883135463880.390194156773194
2490.5808326758029040.8383346483941930.419167324197096
2500.5643026617680220.8713946764639570.435697338231978
2510.55255282801680.8948943439664010.4474471719832
2520.6637292846010510.6725414307978980.336270715398949
2530.6374553380445720.7250893239108570.362544661955428
2540.6069257542446290.7861484915107420.393074245755371
2550.6143091337784910.7713817324430180.385690866221509
2560.5826186927025610.8347626145948780.417381307297439
2570.6172369194668390.7655261610663220.382763080533161
2580.5870094307480810.8259811385038380.412990569251919
2590.5543658243887560.8912683512224880.445634175611244
2600.5480823437129680.9038353125740640.451917656287032
2610.5158139789971750.9683720420056510.484186021002825
2620.5793468128820680.8413063742358650.420653187117932
2630.5549574184165070.8900851631669860.445042581583493
2640.5617272435600050.8765455128799910.438272756439995
2650.5785227964195520.8429544071608970.421477203580448
2660.5645395091518840.8709209816962320.435460490848116
2670.595346922043850.80930615591230.40465307795615
2680.5672068918787420.8655862162425170.432793108121258
2690.631201858921770.7375962821564610.36879814107823
2700.5987057343059390.8025885313881210.401294265694061
2710.5644033599894270.8711932800211450.435596640010573
2720.55476376895510.8904724620897990.4452362310449
2730.5380752560717420.9238494878565160.461924743928258
2740.5131965420017030.9736069159965930.486803457998297
2750.4786435826363420.9572871652726850.521356417363657
2760.4808049782345580.9616099564691160.519195021765442
2770.4479509028293520.8959018056587040.552049097170648
2780.4136146253262660.8272292506525310.586385374673734
2790.3876056841868970.7752113683737940.612394315813103
2800.3562745024372220.7125490048744450.643725497562778
2810.3618598494241610.7237196988483220.638140150575839
2820.3291764075255220.6583528150510440.670823592474478
2830.2982549002742690.5965098005485380.701745099725731
2840.2740180500792640.5480361001585280.725981949920736
2850.2481104696852070.4962209393704140.751889530314793
2860.2200652263771270.4401304527542540.779934773622873
2870.2020037967565490.4040075935130990.797996203243451
2880.2190488257300560.4380976514601120.780951174269944
2890.2020060635463480.4040121270926970.797993936453652
2900.1788970587091540.3577941174183080.821102941290846
2910.1598699606584020.3197399213168040.840130039341598
2920.1420756429927420.2841512859854850.857924357007258
2930.1418075088113570.2836150176227150.858192491188643
2940.1235978659917460.2471957319834920.876402134008254
2950.1050294327247030.2100588654494060.894970567275297
2960.09272409211999210.1854481842399840.907275907880008
2970.07787336585222890.1557467317044580.922126634147771
2980.1326047781152160.2652095562304320.867395221884784
2990.1283677494513690.2567354989027380.871632250548631
3000.2769248206348940.5538496412697880.723075179365106
3010.2447331257191370.4894662514382740.755266874280863
3020.2204378946711730.4408757893423470.779562105328827
3030.2130024114208270.4260048228416540.786997588579173
3040.1974106583805450.394821316761090.802589341619455
3050.2014927992076780.4029855984153550.798507200792322
3060.1925362087287260.3850724174574530.807463791271274
3070.1689922732077020.3379845464154030.831007726792299
3080.1462857687540580.2925715375081150.853714231245942
3090.1580993278404790.3161986556809590.841900672159521
3100.1370013000903520.2740026001807030.862998699909648
3110.1207948528740410.2415897057480810.879205147125959
3120.1568283648292420.3136567296584840.843171635170758
3130.1325652980714440.2651305961428880.867434701928556
3140.1270931174693590.2541862349387190.872906882530641
3150.1096783914032220.2193567828064450.890321608596778
3160.09036689423533790.1807337884706760.909633105764662
3170.08980729065782970.1796145813156590.91019270934217
3180.07430133309564850.1486026661912970.925698666904352
3190.06537798800223820.1307559760044760.934622011997762
3200.08846302138969450.1769260427793890.911536978610306
3210.07167477951077680.1433495590215540.928325220489223
3220.08915409045869220.1783081809173840.910845909541308
3230.1237462953058630.2474925906117260.876253704694137
3240.8727120777132050.2545758445735910.127287922286795
3250.8494581608341650.301083678331670.150541839165835
3260.9206348351003980.1587303297992040.0793651648996021
3270.9282189608084850.143562078383030.0717810391915148
3280.928715189743850.14256962051230.0712848102561502
3290.921723398055570.1565532038888610.0782766019444303
3300.9109144135577840.1781711728844310.0890855864422155
3310.9013802143441580.1972395713116850.0986197856558424
3320.8757877089449680.2484245821100640.124212291055032
3330.8425265299349520.3149469401300960.157473470065048
3340.8304839556614740.3390320886770530.169516044338526
3350.7955675451487510.4088649097024990.204432454851249
3360.7520514064340120.4958971871319750.247948593565988
3370.7289989792220440.5420020415559130.271001020777956
3380.6868294702051110.6263410595897770.313170529794889
3390.6787866946664960.6424266106670080.321213305333504
3400.6841410691777270.6317178616445470.315858930822274
3410.6962255364173010.6075489271653980.303774463582699
3420.6445905250185380.7108189499629230.355409474981462
3430.5833894909417780.8332210181164430.416610509058222
3440.5084878369985380.9830243260029240.491512163001462
3450.4416273208856110.8832546417712230.558372679114389
3460.3885127313708130.7770254627416250.611487268629187
3470.347748458624480.6954969172489590.65225154137552
3480.2775910750802820.5551821501605630.722408924919718
3490.3732734923692820.7465469847385640.626726507630718
3500.3113058079065960.6226116158131920.688694192093404
3510.2451205146895440.4902410293790880.754879485310456
3520.1733500525142310.3467001050284620.826649947485769
3530.2859588115272960.5719176230545930.714041188472704
3540.412449450607780.824898901215560.58755054939222
3550.5208405914527630.9583188170944750.479159408547237

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
16 & 0.453429361646756 & 0.906858723293513 & 0.546570638353244 \tabularnewline
17 & 0.321248261368156 & 0.642496522736313 & 0.678751738631844 \tabularnewline
18 & 0.267557158165167 & 0.535114316330334 & 0.732442841834833 \tabularnewline
19 & 0.402234338267447 & 0.804468676534893 & 0.597765661732553 \tabularnewline
20 & 0.374655798836024 & 0.749311597672047 & 0.625344201163976 \tabularnewline
21 & 0.385878676300076 & 0.771757352600152 & 0.614121323699924 \tabularnewline
22 & 0.640812943746273 & 0.718374112507455 & 0.359187056253727 \tabularnewline
23 & 0.563851930017614 & 0.872296139964772 & 0.436148069982386 \tabularnewline
24 & 0.481684496106289 & 0.963368992212579 & 0.518315503893711 \tabularnewline
25 & 0.559873969791756 & 0.880252060416488 & 0.440126030208244 \tabularnewline
26 & 0.596230776011758 & 0.807538447976484 & 0.403769223988242 \tabularnewline
27 & 0.663974903889929 & 0.672050192220141 & 0.336025096110071 \tabularnewline
28 & 0.631127023488193 & 0.737745953023613 & 0.368872976511807 \tabularnewline
29 & 0.572001367689432 & 0.855997264621135 & 0.427998632310568 \tabularnewline
30 & 0.576818450082661 & 0.846363099834677 & 0.423181549917339 \tabularnewline
31 & 0.559994840761329 & 0.880010318477342 & 0.440005159238671 \tabularnewline
32 & 0.557236539664771 & 0.885526920670458 & 0.442763460335229 \tabularnewline
33 & 0.524468620346053 & 0.951062759307895 & 0.475531379653947 \tabularnewline
34 & 0.587598912098041 & 0.824802175803917 & 0.412401087901959 \tabularnewline
35 & 0.526199328020814 & 0.947601343958371 & 0.473800671979186 \tabularnewline
36 & 0.640558027838655 & 0.71888394432269 & 0.359441972161345 \tabularnewline
37 & 0.624793860381477 & 0.750412279237045 & 0.375206139618523 \tabularnewline
38 & 0.615791666351772 & 0.768416667296456 & 0.384208333648228 \tabularnewline
39 & 0.576725930233658 & 0.846548139532685 & 0.423274069766342 \tabularnewline
40 & 0.552047506148901 & 0.895904987702197 & 0.447952493851099 \tabularnewline
41 & 0.528698649600508 & 0.942602700798984 & 0.471301350399492 \tabularnewline
42 & 0.477852513607878 & 0.955705027215756 & 0.522147486392122 \tabularnewline
43 & 0.498250636441463 & 0.996501272882925 & 0.501749363558537 \tabularnewline
44 & 0.567877604262712 & 0.864244791474577 & 0.432122395737288 \tabularnewline
45 & 0.536487636606817 & 0.927024726786367 & 0.463512363393183 \tabularnewline
46 & 0.51419898097511 & 0.971602038049781 & 0.48580101902489 \tabularnewline
47 & 0.493794781207224 & 0.987589562414448 & 0.506205218792776 \tabularnewline
48 & 0.455967847057306 & 0.911935694114613 & 0.544032152942694 \tabularnewline
49 & 0.40619268646897 & 0.81238537293794 & 0.59380731353103 \tabularnewline
50 & 0.360399647094442 & 0.720799294188884 & 0.639600352905558 \tabularnewline
51 & 0.378644652020182 & 0.757289304040364 & 0.621355347979818 \tabularnewline
52 & 0.369829121627223 & 0.739658243254445 & 0.630170878372777 \tabularnewline
53 & 0.351365258243019 & 0.702730516486038 & 0.648634741756981 \tabularnewline
54 & 0.325474020906092 & 0.650948041812185 & 0.674525979093908 \tabularnewline
55 & 0.343337517073944 & 0.686675034147887 & 0.656662482926056 \tabularnewline
56 & 0.301277237613207 & 0.602554475226413 & 0.698722762386793 \tabularnewline
57 & 0.262584296708214 & 0.525168593416428 & 0.737415703291786 \tabularnewline
58 & 0.227936574680431 & 0.455873149360863 & 0.772063425319569 \tabularnewline
59 & 0.194913308989654 & 0.389826617979307 & 0.805086691010346 \tabularnewline
60 & 0.168009995713093 & 0.336019991426186 & 0.831990004286907 \tabularnewline
61 & 0.177545255792352 & 0.355090511584704 & 0.822454744207648 \tabularnewline
62 & 0.169981151436238 & 0.339962302872476 & 0.830018848563762 \tabularnewline
63 & 0.196287804920219 & 0.392575609840438 & 0.803712195079781 \tabularnewline
64 & 0.167043284261745 & 0.33408656852349 & 0.832956715738255 \tabularnewline
65 & 0.168861816879478 & 0.337723633758957 & 0.831138183120522 \tabularnewline
66 & 0.146960411326516 & 0.293920822653032 & 0.853039588673484 \tabularnewline
67 & 0.14167354129469 & 0.283347082589381 & 0.85832645870531 \tabularnewline
68 & 0.159459372383678 & 0.318918744767356 & 0.840540627616322 \tabularnewline
69 & 0.149778646787606 & 0.299557293575212 & 0.850221353212394 \tabularnewline
70 & 0.171747496832743 & 0.343494993665485 & 0.828252503167257 \tabularnewline
71 & 0.203527895709556 & 0.407055791419111 & 0.796472104290444 \tabularnewline
72 & 0.361842804253963 & 0.723685608507927 & 0.638157195746037 \tabularnewline
73 & 0.376229782149217 & 0.752459564298434 & 0.623770217850783 \tabularnewline
74 & 0.386858008996985 & 0.773716017993969 & 0.613141991003015 \tabularnewline
75 & 0.357465084200794 & 0.714930168401587 & 0.642534915799206 \tabularnewline
76 & 0.322169927681032 & 0.644339855362064 & 0.677830072318968 \tabularnewline
77 & 0.422603172767356 & 0.845206345534713 & 0.577396827232644 \tabularnewline
78 & 0.397636392869742 & 0.795272785739484 & 0.602363607130258 \tabularnewline
79 & 0.367163153496922 & 0.734326306993844 & 0.632836846503078 \tabularnewline
80 & 0.335784202216689 & 0.671568404433379 & 0.664215797783311 \tabularnewline
81 & 0.377418975378572 & 0.754837950757145 & 0.622581024621428 \tabularnewline
82 & 0.341568494265493 & 0.683136988530985 & 0.658431505734507 \tabularnewline
83 & 0.324968007043029 & 0.649936014086058 & 0.675031992956971 \tabularnewline
84 & 0.293195006284266 & 0.586390012568532 & 0.706804993715734 \tabularnewline
85 & 0.300980408798227 & 0.601960817596454 & 0.699019591201773 \tabularnewline
86 & 0.27073167318714 & 0.541463346374279 & 0.72926832681286 \tabularnewline
87 & 0.259371461440264 & 0.518742922880527 & 0.740628538559736 \tabularnewline
88 & 0.273057606365733 & 0.546115212731467 & 0.726942393634267 \tabularnewline
89 & 0.301713966767521 & 0.603427933535041 & 0.698286033232479 \tabularnewline
90 & 0.294294602736826 & 0.588589205473651 & 0.705705397263174 \tabularnewline
91 & 0.287515521201237 & 0.575031042402474 & 0.712484478798763 \tabularnewline
92 & 0.259603320392762 & 0.519206640785524 & 0.740396679607238 \tabularnewline
93 & 0.246228572165835 & 0.492457144331669 & 0.753771427834165 \tabularnewline
94 & 0.220832549609396 & 0.441665099218792 & 0.779167450390604 \tabularnewline
95 & 0.195431523197423 & 0.390863046394846 & 0.804568476802577 \tabularnewline
96 & 0.197133200406166 & 0.394266400812333 & 0.802866799593834 \tabularnewline
97 & 0.176567501547331 & 0.353135003094662 & 0.823432498452669 \tabularnewline
98 & 0.178105435781803 & 0.356210871563606 & 0.821894564218197 \tabularnewline
99 & 0.160589373605416 & 0.321178747210832 & 0.839410626394584 \tabularnewline
100 & 0.181534219254292 & 0.363068438508583 & 0.818465780745709 \tabularnewline
101 & 0.193491038978808 & 0.386982077957617 & 0.806508961021192 \tabularnewline
102 & 0.181439597320761 & 0.362879194641522 & 0.818560402679239 \tabularnewline
103 & 0.17838943269753 & 0.356778865395061 & 0.82161056730247 \tabularnewline
104 & 0.15756960896946 & 0.315139217938919 & 0.84243039103054 \tabularnewline
105 & 0.138005681683384 & 0.276011363366767 & 0.861994318316616 \tabularnewline
106 & 0.157948917889996 & 0.315897835779993 & 0.842051082110004 \tabularnewline
107 & 0.138217992880711 & 0.276435985761423 & 0.861782007119289 \tabularnewline
108 & 0.127789969886675 & 0.25557993977335 & 0.872210030113325 \tabularnewline
109 & 0.128773084539685 & 0.25754616907937 & 0.871226915460315 \tabularnewline
110 & 0.11227903400616 & 0.224558068012321 & 0.88772096599384 \tabularnewline
111 & 0.103480826293251 & 0.206961652586503 & 0.896519173706749 \tabularnewline
112 & 0.102148911108002 & 0.204297822216004 & 0.897851088891998 \tabularnewline
113 & 0.114157343603688 & 0.228314687207377 & 0.885842656396312 \tabularnewline
114 & 0.11199372704569 & 0.223987454091381 & 0.88800627295431 \tabularnewline
115 & 0.096650481958661 & 0.193300963917322 & 0.903349518041339 \tabularnewline
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338 & 0.686829470205111 & 0.626341059589777 & 0.313170529794889 \tabularnewline
339 & 0.678786694666496 & 0.642426610667008 & 0.321213305333504 \tabularnewline
340 & 0.684141069177727 & 0.631717861644547 & 0.315858930822274 \tabularnewline
341 & 0.696225536417301 & 0.607548927165398 & 0.303774463582699 \tabularnewline
342 & 0.644590525018538 & 0.710818949962923 & 0.355409474981462 \tabularnewline
343 & 0.583389490941778 & 0.833221018116443 & 0.416610509058222 \tabularnewline
344 & 0.508487836998538 & 0.983024326002924 & 0.491512163001462 \tabularnewline
345 & 0.441627320885611 & 0.883254641771223 & 0.558372679114389 \tabularnewline
346 & 0.388512731370813 & 0.777025462741625 & 0.611487268629187 \tabularnewline
347 & 0.34774845862448 & 0.695496917248959 & 0.65225154137552 \tabularnewline
348 & 0.277591075080282 & 0.555182150160563 & 0.722408924919718 \tabularnewline
349 & 0.373273492369282 & 0.746546984738564 & 0.626726507630718 \tabularnewline
350 & 0.311305807906596 & 0.622611615813192 & 0.688694192093404 \tabularnewline
351 & 0.245120514689544 & 0.490241029379088 & 0.754879485310456 \tabularnewline
352 & 0.173350052514231 & 0.346700105028462 & 0.826649947485769 \tabularnewline
353 & 0.285958811527296 & 0.571917623054593 & 0.714041188472704 \tabularnewline
354 & 0.41244945060778 & 0.82489890121556 & 0.58755054939222 \tabularnewline
355 & 0.520840591452763 & 0.958318817094475 & 0.479159408547237 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=147093&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]16[/C][C]0.453429361646756[/C][C]0.906858723293513[/C][C]0.546570638353244[/C][/ROW]
[ROW][C]17[/C][C]0.321248261368156[/C][C]0.642496522736313[/C][C]0.678751738631844[/C][/ROW]
[ROW][C]18[/C][C]0.267557158165167[/C][C]0.535114316330334[/C][C]0.732442841834833[/C][/ROW]
[ROW][C]19[/C][C]0.402234338267447[/C][C]0.804468676534893[/C][C]0.597765661732553[/C][/ROW]
[ROW][C]20[/C][C]0.374655798836024[/C][C]0.749311597672047[/C][C]0.625344201163976[/C][/ROW]
[ROW][C]21[/C][C]0.385878676300076[/C][C]0.771757352600152[/C][C]0.614121323699924[/C][/ROW]
[ROW][C]22[/C][C]0.640812943746273[/C][C]0.718374112507455[/C][C]0.359187056253727[/C][/ROW]
[ROW][C]23[/C][C]0.563851930017614[/C][C]0.872296139964772[/C][C]0.436148069982386[/C][/ROW]
[ROW][C]24[/C][C]0.481684496106289[/C][C]0.963368992212579[/C][C]0.518315503893711[/C][/ROW]
[ROW][C]25[/C][C]0.559873969791756[/C][C]0.880252060416488[/C][C]0.440126030208244[/C][/ROW]
[ROW][C]26[/C][C]0.596230776011758[/C][C]0.807538447976484[/C][C]0.403769223988242[/C][/ROW]
[ROW][C]27[/C][C]0.663974903889929[/C][C]0.672050192220141[/C][C]0.336025096110071[/C][/ROW]
[ROW][C]28[/C][C]0.631127023488193[/C][C]0.737745953023613[/C][C]0.368872976511807[/C][/ROW]
[ROW][C]29[/C][C]0.572001367689432[/C][C]0.855997264621135[/C][C]0.427998632310568[/C][/ROW]
[ROW][C]30[/C][C]0.576818450082661[/C][C]0.846363099834677[/C][C]0.423181549917339[/C][/ROW]
[ROW][C]31[/C][C]0.559994840761329[/C][C]0.880010318477342[/C][C]0.440005159238671[/C][/ROW]
[ROW][C]32[/C][C]0.557236539664771[/C][C]0.885526920670458[/C][C]0.442763460335229[/C][/ROW]
[ROW][C]33[/C][C]0.524468620346053[/C][C]0.951062759307895[/C][C]0.475531379653947[/C][/ROW]
[ROW][C]34[/C][C]0.587598912098041[/C][C]0.824802175803917[/C][C]0.412401087901959[/C][/ROW]
[ROW][C]35[/C][C]0.526199328020814[/C][C]0.947601343958371[/C][C]0.473800671979186[/C][/ROW]
[ROW][C]36[/C][C]0.640558027838655[/C][C]0.71888394432269[/C][C]0.359441972161345[/C][/ROW]
[ROW][C]37[/C][C]0.624793860381477[/C][C]0.750412279237045[/C][C]0.375206139618523[/C][/ROW]
[ROW][C]38[/C][C]0.615791666351772[/C][C]0.768416667296456[/C][C]0.384208333648228[/C][/ROW]
[ROW][C]39[/C][C]0.576725930233658[/C][C]0.846548139532685[/C][C]0.423274069766342[/C][/ROW]
[ROW][C]40[/C][C]0.552047506148901[/C][C]0.895904987702197[/C][C]0.447952493851099[/C][/ROW]
[ROW][C]41[/C][C]0.528698649600508[/C][C]0.942602700798984[/C][C]0.471301350399492[/C][/ROW]
[ROW][C]42[/C][C]0.477852513607878[/C][C]0.955705027215756[/C][C]0.522147486392122[/C][/ROW]
[ROW][C]43[/C][C]0.498250636441463[/C][C]0.996501272882925[/C][C]0.501749363558537[/C][/ROW]
[ROW][C]44[/C][C]0.567877604262712[/C][C]0.864244791474577[/C][C]0.432122395737288[/C][/ROW]
[ROW][C]45[/C][C]0.536487636606817[/C][C]0.927024726786367[/C][C]0.463512363393183[/C][/ROW]
[ROW][C]46[/C][C]0.51419898097511[/C][C]0.971602038049781[/C][C]0.48580101902489[/C][/ROW]
[ROW][C]47[/C][C]0.493794781207224[/C][C]0.987589562414448[/C][C]0.506205218792776[/C][/ROW]
[ROW][C]48[/C][C]0.455967847057306[/C][C]0.911935694114613[/C][C]0.544032152942694[/C][/ROW]
[ROW][C]49[/C][C]0.40619268646897[/C][C]0.81238537293794[/C][C]0.59380731353103[/C][/ROW]
[ROW][C]50[/C][C]0.360399647094442[/C][C]0.720799294188884[/C][C]0.639600352905558[/C][/ROW]
[ROW][C]51[/C][C]0.378644652020182[/C][C]0.757289304040364[/C][C]0.621355347979818[/C][/ROW]
[ROW][C]52[/C][C]0.369829121627223[/C][C]0.739658243254445[/C][C]0.630170878372777[/C][/ROW]
[ROW][C]53[/C][C]0.351365258243019[/C][C]0.702730516486038[/C][C]0.648634741756981[/C][/ROW]
[ROW][C]54[/C][C]0.325474020906092[/C][C]0.650948041812185[/C][C]0.674525979093908[/C][/ROW]
[ROW][C]55[/C][C]0.343337517073944[/C][C]0.686675034147887[/C][C]0.656662482926056[/C][/ROW]
[ROW][C]56[/C][C]0.301277237613207[/C][C]0.602554475226413[/C][C]0.698722762386793[/C][/ROW]
[ROW][C]57[/C][C]0.262584296708214[/C][C]0.525168593416428[/C][C]0.737415703291786[/C][/ROW]
[ROW][C]58[/C][C]0.227936574680431[/C][C]0.455873149360863[/C][C]0.772063425319569[/C][/ROW]
[ROW][C]59[/C][C]0.194913308989654[/C][C]0.389826617979307[/C][C]0.805086691010346[/C][/ROW]
[ROW][C]60[/C][C]0.168009995713093[/C][C]0.336019991426186[/C][C]0.831990004286907[/C][/ROW]
[ROW][C]61[/C][C]0.177545255792352[/C][C]0.355090511584704[/C][C]0.822454744207648[/C][/ROW]
[ROW][C]62[/C][C]0.169981151436238[/C][C]0.339962302872476[/C][C]0.830018848563762[/C][/ROW]
[ROW][C]63[/C][C]0.196287804920219[/C][C]0.392575609840438[/C][C]0.803712195079781[/C][/ROW]
[ROW][C]64[/C][C]0.167043284261745[/C][C]0.33408656852349[/C][C]0.832956715738255[/C][/ROW]
[ROW][C]65[/C][C]0.168861816879478[/C][C]0.337723633758957[/C][C]0.831138183120522[/C][/ROW]
[ROW][C]66[/C][C]0.146960411326516[/C][C]0.293920822653032[/C][C]0.853039588673484[/C][/ROW]
[ROW][C]67[/C][C]0.14167354129469[/C][C]0.283347082589381[/C][C]0.85832645870531[/C][/ROW]
[ROW][C]68[/C][C]0.159459372383678[/C][C]0.318918744767356[/C][C]0.840540627616322[/C][/ROW]
[ROW][C]69[/C][C]0.149778646787606[/C][C]0.299557293575212[/C][C]0.850221353212394[/C][/ROW]
[ROW][C]70[/C][C]0.171747496832743[/C][C]0.343494993665485[/C][C]0.828252503167257[/C][/ROW]
[ROW][C]71[/C][C]0.203527895709556[/C][C]0.407055791419111[/C][C]0.796472104290444[/C][/ROW]
[ROW][C]72[/C][C]0.361842804253963[/C][C]0.723685608507927[/C][C]0.638157195746037[/C][/ROW]
[ROW][C]73[/C][C]0.376229782149217[/C][C]0.752459564298434[/C][C]0.623770217850783[/C][/ROW]
[ROW][C]74[/C][C]0.386858008996985[/C][C]0.773716017993969[/C][C]0.613141991003015[/C][/ROW]
[ROW][C]75[/C][C]0.357465084200794[/C][C]0.714930168401587[/C][C]0.642534915799206[/C][/ROW]
[ROW][C]76[/C][C]0.322169927681032[/C][C]0.644339855362064[/C][C]0.677830072318968[/C][/ROW]
[ROW][C]77[/C][C]0.422603172767356[/C][C]0.845206345534713[/C][C]0.577396827232644[/C][/ROW]
[ROW][C]78[/C][C]0.397636392869742[/C][C]0.795272785739484[/C][C]0.602363607130258[/C][/ROW]
[ROW][C]79[/C][C]0.367163153496922[/C][C]0.734326306993844[/C][C]0.632836846503078[/C][/ROW]
[ROW][C]80[/C][C]0.335784202216689[/C][C]0.671568404433379[/C][C]0.664215797783311[/C][/ROW]
[ROW][C]81[/C][C]0.377418975378572[/C][C]0.754837950757145[/C][C]0.622581024621428[/C][/ROW]
[ROW][C]82[/C][C]0.341568494265493[/C][C]0.683136988530985[/C][C]0.658431505734507[/C][/ROW]
[ROW][C]83[/C][C]0.324968007043029[/C][C]0.649936014086058[/C][C]0.675031992956971[/C][/ROW]
[ROW][C]84[/C][C]0.293195006284266[/C][C]0.586390012568532[/C][C]0.706804993715734[/C][/ROW]
[ROW][C]85[/C][C]0.300980408798227[/C][C]0.601960817596454[/C][C]0.699019591201773[/C][/ROW]
[ROW][C]86[/C][C]0.27073167318714[/C][C]0.541463346374279[/C][C]0.72926832681286[/C][/ROW]
[ROW][C]87[/C][C]0.259371461440264[/C][C]0.518742922880527[/C][C]0.740628538559736[/C][/ROW]
[ROW][C]88[/C][C]0.273057606365733[/C][C]0.546115212731467[/C][C]0.726942393634267[/C][/ROW]
[ROW][C]89[/C][C]0.301713966767521[/C][C]0.603427933535041[/C][C]0.698286033232479[/C][/ROW]
[ROW][C]90[/C][C]0.294294602736826[/C][C]0.588589205473651[/C][C]0.705705397263174[/C][/ROW]
[ROW][C]91[/C][C]0.287515521201237[/C][C]0.575031042402474[/C][C]0.712484478798763[/C][/ROW]
[ROW][C]92[/C][C]0.259603320392762[/C][C]0.519206640785524[/C][C]0.740396679607238[/C][/ROW]
[ROW][C]93[/C][C]0.246228572165835[/C][C]0.492457144331669[/C][C]0.753771427834165[/C][/ROW]
[ROW][C]94[/C][C]0.220832549609396[/C][C]0.441665099218792[/C][C]0.779167450390604[/C][/ROW]
[ROW][C]95[/C][C]0.195431523197423[/C][C]0.390863046394846[/C][C]0.804568476802577[/C][/ROW]
[ROW][C]96[/C][C]0.197133200406166[/C][C]0.394266400812333[/C][C]0.802866799593834[/C][/ROW]
[ROW][C]97[/C][C]0.176567501547331[/C][C]0.353135003094662[/C][C]0.823432498452669[/C][/ROW]
[ROW][C]98[/C][C]0.178105435781803[/C][C]0.356210871563606[/C][C]0.821894564218197[/C][/ROW]
[ROW][C]99[/C][C]0.160589373605416[/C][C]0.321178747210832[/C][C]0.839410626394584[/C][/ROW]
[ROW][C]100[/C][C]0.181534219254292[/C][C]0.363068438508583[/C][C]0.818465780745709[/C][/ROW]
[ROW][C]101[/C][C]0.193491038978808[/C][C]0.386982077957617[/C][C]0.806508961021192[/C][/ROW]
[ROW][C]102[/C][C]0.181439597320761[/C][C]0.362879194641522[/C][C]0.818560402679239[/C][/ROW]
[ROW][C]103[/C][C]0.17838943269753[/C][C]0.356778865395061[/C][C]0.82161056730247[/C][/ROW]
[ROW][C]104[/C][C]0.15756960896946[/C][C]0.315139217938919[/C][C]0.84243039103054[/C][/ROW]
[ROW][C]105[/C][C]0.138005681683384[/C][C]0.276011363366767[/C][C]0.861994318316616[/C][/ROW]
[ROW][C]106[/C][C]0.157948917889996[/C][C]0.315897835779993[/C][C]0.842051082110004[/C][/ROW]
[ROW][C]107[/C][C]0.138217992880711[/C][C]0.276435985761423[/C][C]0.861782007119289[/C][/ROW]
[ROW][C]108[/C][C]0.127789969886675[/C][C]0.25557993977335[/C][C]0.872210030113325[/C][/ROW]
[ROW][C]109[/C][C]0.128773084539685[/C][C]0.25754616907937[/C][C]0.871226915460315[/C][/ROW]
[ROW][C]110[/C][C]0.11227903400616[/C][C]0.224558068012321[/C][C]0.88772096599384[/C][/ROW]
[ROW][C]111[/C][C]0.103480826293251[/C][C]0.206961652586503[/C][C]0.896519173706749[/C][/ROW]
[ROW][C]112[/C][C]0.102148911108002[/C][C]0.204297822216004[/C][C]0.897851088891998[/C][/ROW]
[ROW][C]113[/C][C]0.114157343603688[/C][C]0.228314687207377[/C][C]0.885842656396312[/C][/ROW]
[ROW][C]114[/C][C]0.11199372704569[/C][C]0.223987454091381[/C][C]0.88800627295431[/C][/ROW]
[ROW][C]115[/C][C]0.096650481958661[/C][C]0.193300963917322[/C][C]0.903349518041339[/C][/ROW]
[ROW][C]116[/C][C]0.0875163486438012[/C][C]0.175032697287602[/C][C]0.912483651356199[/C][/ROW]
[ROW][C]117[/C][C]0.0809259360898292[/C][C]0.161851872179658[/C][C]0.919074063910171[/C][/ROW]
[ROW][C]118[/C][C]0.125296582782691[/C][C]0.250593165565381[/C][C]0.874703417217309[/C][/ROW]
[ROW][C]119[/C][C]0.11809367392222[/C][C]0.236187347844439[/C][C]0.88190632607778[/C][/ROW]
[ROW][C]120[/C][C]0.173829729572052[/C][C]0.347659459144103[/C][C]0.826170270427948[/C][/ROW]
[ROW][C]121[/C][C]0.296959678058194[/C][C]0.593919356116388[/C][C]0.703040321941806[/C][/ROW]
[ROW][C]122[/C][C]0.300457769321971[/C][C]0.600915538643943[/C][C]0.699542230678029[/C][/ROW]
[ROW][C]123[/C][C]0.307032314623804[/C][C]0.614064629247608[/C][C]0.692967685376196[/C][/ROW]
[ROW][C]124[/C][C]0.283477902579106[/C][C]0.566955805158211[/C][C]0.716522097420894[/C][/ROW]
[ROW][C]125[/C][C]0.308302181015048[/C][C]0.616604362030095[/C][C]0.691697818984953[/C][/ROW]
[ROW][C]126[/C][C]0.292581215852997[/C][C]0.585162431705994[/C][C]0.707418784147003[/C][/ROW]
[ROW][C]127[/C][C]0.286678332993714[/C][C]0.573356665987428[/C][C]0.713321667006286[/C][/ROW]
[ROW][C]128[/C][C]0.365993179465145[/C][C]0.731986358930289[/C][C]0.634006820534855[/C][/ROW]
[ROW][C]129[/C][C]0.349061551639426[/C][C]0.698123103278852[/C][C]0.650938448360574[/C][/ROW]
[ROW][C]130[/C][C]0.349434525232604[/C][C]0.698869050465207[/C][C]0.650565474767396[/C][/ROW]
[ROW][C]131[/C][C]0.355442781270308[/C][C]0.710885562540616[/C][C]0.644557218729692[/C][/ROW]
[ROW][C]132[/C][C]0.33436442713018[/C][C]0.668728854260361[/C][C]0.66563557286982[/C][/ROW]
[ROW][C]133[/C][C]0.314296595695582[/C][C]0.628593191391163[/C][C]0.685703404304418[/C][/ROW]
[ROW][C]134[/C][C]0.310923955100299[/C][C]0.621847910200597[/C][C]0.689076044899701[/C][/ROW]
[ROW][C]135[/C][C]0.393178713015753[/C][C]0.786357426031506[/C][C]0.606821286984247[/C][/ROW]
[ROW][C]136[/C][C]0.364047212568641[/C][C]0.728094425137281[/C][C]0.63595278743136[/C][/ROW]
[ROW][C]137[/C][C]0.401681715657468[/C][C]0.803363431314937[/C][C]0.598318284342532[/C][/ROW]
[ROW][C]138[/C][C]0.380729915905998[/C][C]0.761459831811995[/C][C]0.619270084094002[/C][/ROW]
[ROW][C]139[/C][C]0.353746583804086[/C][C]0.707493167608172[/C][C]0.646253416195914[/C][/ROW]
[ROW][C]140[/C][C]0.324993378048244[/C][C]0.649986756096488[/C][C]0.675006621951756[/C][/ROW]
[ROW][C]141[/C][C]0.323812588325503[/C][C]0.647625176651006[/C][C]0.676187411674497[/C][/ROW]
[ROW][C]142[/C][C]0.314342640596519[/C][C]0.628685281193039[/C][C]0.685657359403481[/C][/ROW]
[ROW][C]143[/C][C]0.302861679903017[/C][C]0.605723359806033[/C][C]0.697138320096983[/C][/ROW]
[ROW][C]144[/C][C]0.284728019610193[/C][C]0.569456039220385[/C][C]0.715271980389808[/C][/ROW]
[ROW][C]145[/C][C]0.325957796260525[/C][C]0.651915592521049[/C][C]0.674042203739475[/C][/ROW]
[ROW][C]146[/C][C]0.453269620282928[/C][C]0.906539240565856[/C][C]0.546730379717072[/C][/ROW]
[ROW][C]147[/C][C]0.452524139805738[/C][C]0.905048279611476[/C][C]0.547475860194262[/C][/ROW]
[ROW][C]148[/C][C]0.422527713459617[/C][C]0.845055426919233[/C][C]0.577472286540384[/C][/ROW]
[ROW][C]149[/C][C]0.485393801489293[/C][C]0.970787602978586[/C][C]0.514606198510707[/C][/ROW]
[ROW][C]150[/C][C]0.471749622751251[/C][C]0.943499245502503[/C][C]0.528250377248749[/C][/ROW]
[ROW][C]151[/C][C]0.454797281145491[/C][C]0.909594562290981[/C][C]0.545202718854509[/C][/ROW]
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[ROW][C]299[/C][C]0.128367749451369[/C][C]0.256735498902738[/C][C]0.871632250548631[/C][/ROW]
[ROW][C]300[/C][C]0.276924820634894[/C][C]0.553849641269788[/C][C]0.723075179365106[/C][/ROW]
[ROW][C]301[/C][C]0.244733125719137[/C][C]0.489466251438274[/C][C]0.755266874280863[/C][/ROW]
[ROW][C]302[/C][C]0.220437894671173[/C][C]0.440875789342347[/C][C]0.779562105328827[/C][/ROW]
[ROW][C]303[/C][C]0.213002411420827[/C][C]0.426004822841654[/C][C]0.786997588579173[/C][/ROW]
[ROW][C]304[/C][C]0.197410658380545[/C][C]0.39482131676109[/C][C]0.802589341619455[/C][/ROW]
[ROW][C]305[/C][C]0.201492799207678[/C][C]0.402985598415355[/C][C]0.798507200792322[/C][/ROW]
[ROW][C]306[/C][C]0.192536208728726[/C][C]0.385072417457453[/C][C]0.807463791271274[/C][/ROW]
[ROW][C]307[/C][C]0.168992273207702[/C][C]0.337984546415403[/C][C]0.831007726792299[/C][/ROW]
[ROW][C]308[/C][C]0.146285768754058[/C][C]0.292571537508115[/C][C]0.853714231245942[/C][/ROW]
[ROW][C]309[/C][C]0.158099327840479[/C][C]0.316198655680959[/C][C]0.841900672159521[/C][/ROW]
[ROW][C]310[/C][C]0.137001300090352[/C][C]0.274002600180703[/C][C]0.862998699909648[/C][/ROW]
[ROW][C]311[/C][C]0.120794852874041[/C][C]0.241589705748081[/C][C]0.879205147125959[/C][/ROW]
[ROW][C]312[/C][C]0.156828364829242[/C][C]0.313656729658484[/C][C]0.843171635170758[/C][/ROW]
[ROW][C]313[/C][C]0.132565298071444[/C][C]0.265130596142888[/C][C]0.867434701928556[/C][/ROW]
[ROW][C]314[/C][C]0.127093117469359[/C][C]0.254186234938719[/C][C]0.872906882530641[/C][/ROW]
[ROW][C]315[/C][C]0.109678391403222[/C][C]0.219356782806445[/C][C]0.890321608596778[/C][/ROW]
[ROW][C]316[/C][C]0.0903668942353379[/C][C]0.180733788470676[/C][C]0.909633105764662[/C][/ROW]
[ROW][C]317[/C][C]0.0898072906578297[/C][C]0.179614581315659[/C][C]0.91019270934217[/C][/ROW]
[ROW][C]318[/C][C]0.0743013330956485[/C][C]0.148602666191297[/C][C]0.925698666904352[/C][/ROW]
[ROW][C]319[/C][C]0.0653779880022382[/C][C]0.130755976004476[/C][C]0.934622011997762[/C][/ROW]
[ROW][C]320[/C][C]0.0884630213896945[/C][C]0.176926042779389[/C][C]0.911536978610306[/C][/ROW]
[ROW][C]321[/C][C]0.0716747795107768[/C][C]0.143349559021554[/C][C]0.928325220489223[/C][/ROW]
[ROW][C]322[/C][C]0.0891540904586922[/C][C]0.178308180917384[/C][C]0.910845909541308[/C][/ROW]
[ROW][C]323[/C][C]0.123746295305863[/C][C]0.247492590611726[/C][C]0.876253704694137[/C][/ROW]
[ROW][C]324[/C][C]0.872712077713205[/C][C]0.254575844573591[/C][C]0.127287922286795[/C][/ROW]
[ROW][C]325[/C][C]0.849458160834165[/C][C]0.30108367833167[/C][C]0.150541839165835[/C][/ROW]
[ROW][C]326[/C][C]0.920634835100398[/C][C]0.158730329799204[/C][C]0.0793651648996021[/C][/ROW]
[ROW][C]327[/C][C]0.928218960808485[/C][C]0.14356207838303[/C][C]0.0717810391915148[/C][/ROW]
[ROW][C]328[/C][C]0.92871518974385[/C][C]0.1425696205123[/C][C]0.0712848102561502[/C][/ROW]
[ROW][C]329[/C][C]0.92172339805557[/C][C]0.156553203888861[/C][C]0.0782766019444303[/C][/ROW]
[ROW][C]330[/C][C]0.910914413557784[/C][C]0.178171172884431[/C][C]0.0890855864422155[/C][/ROW]
[ROW][C]331[/C][C]0.901380214344158[/C][C]0.197239571311685[/C][C]0.0986197856558424[/C][/ROW]
[ROW][C]332[/C][C]0.875787708944968[/C][C]0.248424582110064[/C][C]0.124212291055032[/C][/ROW]
[ROW][C]333[/C][C]0.842526529934952[/C][C]0.314946940130096[/C][C]0.157473470065048[/C][/ROW]
[ROW][C]334[/C][C]0.830483955661474[/C][C]0.339032088677053[/C][C]0.169516044338526[/C][/ROW]
[ROW][C]335[/C][C]0.795567545148751[/C][C]0.408864909702499[/C][C]0.204432454851249[/C][/ROW]
[ROW][C]336[/C][C]0.752051406434012[/C][C]0.495897187131975[/C][C]0.247948593565988[/C][/ROW]
[ROW][C]337[/C][C]0.728998979222044[/C][C]0.542002041555913[/C][C]0.271001020777956[/C][/ROW]
[ROW][C]338[/C][C]0.686829470205111[/C][C]0.626341059589777[/C][C]0.313170529794889[/C][/ROW]
[ROW][C]339[/C][C]0.678786694666496[/C][C]0.642426610667008[/C][C]0.321213305333504[/C][/ROW]
[ROW][C]340[/C][C]0.684141069177727[/C][C]0.631717861644547[/C][C]0.315858930822274[/C][/ROW]
[ROW][C]341[/C][C]0.696225536417301[/C][C]0.607548927165398[/C][C]0.303774463582699[/C][/ROW]
[ROW][C]342[/C][C]0.644590525018538[/C][C]0.710818949962923[/C][C]0.355409474981462[/C][/ROW]
[ROW][C]343[/C][C]0.583389490941778[/C][C]0.833221018116443[/C][C]0.416610509058222[/C][/ROW]
[ROW][C]344[/C][C]0.508487836998538[/C][C]0.983024326002924[/C][C]0.491512163001462[/C][/ROW]
[ROW][C]345[/C][C]0.441627320885611[/C][C]0.883254641771223[/C][C]0.558372679114389[/C][/ROW]
[ROW][C]346[/C][C]0.388512731370813[/C][C]0.777025462741625[/C][C]0.611487268629187[/C][/ROW]
[ROW][C]347[/C][C]0.34774845862448[/C][C]0.695496917248959[/C][C]0.65225154137552[/C][/ROW]
[ROW][C]348[/C][C]0.277591075080282[/C][C]0.555182150160563[/C][C]0.722408924919718[/C][/ROW]
[ROW][C]349[/C][C]0.373273492369282[/C][C]0.746546984738564[/C][C]0.626726507630718[/C][/ROW]
[ROW][C]350[/C][C]0.311305807906596[/C][C]0.622611615813192[/C][C]0.688694192093404[/C][/ROW]
[ROW][C]351[/C][C]0.245120514689544[/C][C]0.490241029379088[/C][C]0.754879485310456[/C][/ROW]
[ROW][C]352[/C][C]0.173350052514231[/C][C]0.346700105028462[/C][C]0.826649947485769[/C][/ROW]
[ROW][C]353[/C][C]0.285958811527296[/C][C]0.571917623054593[/C][C]0.714041188472704[/C][/ROW]
[ROW][C]354[/C][C]0.41244945060778[/C][C]0.82489890121556[/C][C]0.58755054939222[/C][/ROW]
[ROW][C]355[/C][C]0.520840591452763[/C][C]0.958318817094475[/C][C]0.479159408547237[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=147093&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=147093&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
160.4534293616467560.9068587232935130.546570638353244
170.3212482613681560.6424965227363130.678751738631844
180.2675571581651670.5351143163303340.732442841834833
190.4022343382674470.8044686765348930.597765661732553
200.3746557988360240.7493115976720470.625344201163976
210.3858786763000760.7717573526001520.614121323699924
220.6408129437462730.7183741125074550.359187056253727
230.5638519300176140.8722961399647720.436148069982386
240.4816844961062890.9633689922125790.518315503893711
250.5598739697917560.8802520604164880.440126030208244
260.5962307760117580.8075384479764840.403769223988242
270.6639749038899290.6720501922201410.336025096110071
280.6311270234881930.7377459530236130.368872976511807
290.5720013676894320.8559972646211350.427998632310568
300.5768184500826610.8463630998346770.423181549917339
310.5599948407613290.8800103184773420.440005159238671
320.5572365396647710.8855269206704580.442763460335229
330.5244686203460530.9510627593078950.475531379653947
340.5875989120980410.8248021758039170.412401087901959
350.5261993280208140.9476013439583710.473800671979186
360.6405580278386550.718883944322690.359441972161345
370.6247938603814770.7504122792370450.375206139618523
380.6157916663517720.7684166672964560.384208333648228
390.5767259302336580.8465481395326850.423274069766342
400.5520475061489010.8959049877021970.447952493851099
410.5286986496005080.9426027007989840.471301350399492
420.4778525136078780.9557050272157560.522147486392122
430.4982506364414630.9965012728829250.501749363558537
440.5678776042627120.8642447914745770.432122395737288
450.5364876366068170.9270247267863670.463512363393183
460.514198980975110.9716020380497810.48580101902489
470.4937947812072240.9875895624144480.506205218792776
480.4559678470573060.9119356941146130.544032152942694
490.406192686468970.812385372937940.59380731353103
500.3603996470944420.7207992941888840.639600352905558
510.3786446520201820.7572893040403640.621355347979818
520.3698291216272230.7396582432544450.630170878372777
530.3513652582430190.7027305164860380.648634741756981
540.3254740209060920.6509480418121850.674525979093908
550.3433375170739440.6866750341478870.656662482926056
560.3012772376132070.6025544752264130.698722762386793
570.2625842967082140.5251685934164280.737415703291786
580.2279365746804310.4558731493608630.772063425319569
590.1949133089896540.3898266179793070.805086691010346
600.1680099957130930.3360199914261860.831990004286907
610.1775452557923520.3550905115847040.822454744207648
620.1699811514362380.3399623028724760.830018848563762
630.1962878049202190.3925756098404380.803712195079781
640.1670432842617450.334086568523490.832956715738255
650.1688618168794780.3377236337589570.831138183120522
660.1469604113265160.2939208226530320.853039588673484
670.141673541294690.2833470825893810.85832645870531
680.1594593723836780.3189187447673560.840540627616322
690.1497786467876060.2995572935752120.850221353212394
700.1717474968327430.3434949936654850.828252503167257
710.2035278957095560.4070557914191110.796472104290444
720.3618428042539630.7236856085079270.638157195746037
730.3762297821492170.7524595642984340.623770217850783
740.3868580089969850.7737160179939690.613141991003015
750.3574650842007940.7149301684015870.642534915799206
760.3221699276810320.6443398553620640.677830072318968
770.4226031727673560.8452063455347130.577396827232644
780.3976363928697420.7952727857394840.602363607130258
790.3671631534969220.7343263069938440.632836846503078
800.3357842022166890.6715684044333790.664215797783311
810.3774189753785720.7548379507571450.622581024621428
820.3415684942654930.6831369885309850.658431505734507
830.3249680070430290.6499360140860580.675031992956971
840.2931950062842660.5863900125685320.706804993715734
850.3009804087982270.6019608175964540.699019591201773
860.270731673187140.5414633463742790.72926832681286
870.2593714614402640.5187429228805270.740628538559736
880.2730576063657330.5461152127314670.726942393634267
890.3017139667675210.6034279335350410.698286033232479
900.2942946027368260.5885892054736510.705705397263174
910.2875155212012370.5750310424024740.712484478798763
920.2596033203927620.5192066407855240.740396679607238
930.2462285721658350.4924571443316690.753771427834165
940.2208325496093960.4416650992187920.779167450390604
950.1954315231974230.3908630463948460.804568476802577
960.1971332004061660.3942664008123330.802866799593834
970.1765675015473310.3531350030946620.823432498452669
980.1781054357818030.3562108715636060.821894564218197
990.1605893736054160.3211787472108320.839410626394584
1000.1815342192542920.3630684385085830.818465780745709
1010.1934910389788080.3869820779576170.806508961021192
1020.1814395973207610.3628791946415220.818560402679239
1030.178389432697530.3567788653950610.82161056730247
1040.157569608969460.3151392179389190.84243039103054
1050.1380056816833840.2760113633667670.861994318316616
1060.1579489178899960.3158978357799930.842051082110004
1070.1382179928807110.2764359857614230.861782007119289
1080.1277899698866750.255579939773350.872210030113325
1090.1287730845396850.257546169079370.871226915460315
1100.112279034006160.2245580680123210.88772096599384
1110.1034808262932510.2069616525865030.896519173706749
1120.1021489111080020.2042978222160040.897851088891998
1130.1141573436036880.2283146872073770.885842656396312
1140.111993727045690.2239874540913810.88800627295431
1150.0966504819586610.1933009639173220.903349518041339
1160.08751634864380120.1750326972876020.912483651356199
1170.08092593608982920.1618518721796580.919074063910171
1180.1252965827826910.2505931655653810.874703417217309
1190.118093673922220.2361873478444390.88190632607778
1200.1738297295720520.3476594591441030.826170270427948
1210.2969596780581940.5939193561163880.703040321941806
1220.3004577693219710.6009155386439430.699542230678029
1230.3070323146238040.6140646292476080.692967685376196
1240.2834779025791060.5669558051582110.716522097420894
1250.3083021810150480.6166043620300950.691697818984953
1260.2925812158529970.5851624317059940.707418784147003
1270.2866783329937140.5733566659874280.713321667006286
1280.3659931794651450.7319863589302890.634006820534855
1290.3490615516394260.6981231032788520.650938448360574
1300.3494345252326040.6988690504652070.650565474767396
1310.3554427812703080.7108855625406160.644557218729692
1320.334364427130180.6687288542603610.66563557286982
1330.3142965956955820.6285931913911630.685703404304418
1340.3109239551002990.6218479102005970.689076044899701
1350.3931787130157530.7863574260315060.606821286984247
1360.3640472125686410.7280944251372810.63595278743136
1370.4016817156574680.8033634313149370.598318284342532
1380.3807299159059980.7614598318119950.619270084094002
1390.3537465838040860.7074931676081720.646253416195914
1400.3249933780482440.6499867560964880.675006621951756
1410.3238125883255030.6476251766510060.676187411674497
1420.3143426405965190.6286852811930390.685657359403481
1430.3028616799030170.6057233598060330.697138320096983
1440.2847280196101930.5694560392203850.715271980389808
1450.3259577962605250.6519155925210490.674042203739475
1460.4532696202829280.9065392405658560.546730379717072
1470.4525241398057380.9050482796114760.547475860194262
1480.4225277134596170.8450554269192330.577472286540384
1490.4853938014892930.9707876029785860.514606198510707
1500.4717496227512510.9434992455025030.528250377248749
1510.4547972811454910.9095945622909810.545202718854509
1520.4568931894653970.9137863789307940.543106810534603
1530.522860859676540.9542782806469210.47713914032346
1540.5193184203646850.9613631592706310.480681579635315
1550.6310203806085690.7379592387828620.368979619391431
1560.6140071768589460.7719856462821070.385992823141054
1570.6150148522428280.7699702955143440.384985147757172
1580.5897751384408990.8204497231182020.410224861559101
1590.5819915462297560.8360169075404880.418008453770244
1600.5530966786339370.8938066427321260.446903321366063
1610.5792243294858740.8415513410282520.420775670514126
1620.5750616984746590.8498766030506810.424938301525341
1630.5716494170157520.8567011659684970.428350582984248
1640.5750933619998360.8498132760003290.424906638000164
1650.5451232279402990.9097535441194010.454876772059701
1660.530498449991750.93900310001650.46950155000825
1670.506758461296630.9864830774067390.49324153870337
1680.4909398226065170.9818796452130350.509060177393483
1690.4965563312559590.9931126625119170.503443668744041
1700.4713691644489860.9427383288979730.528630835551014
1710.446841920050940.893683840101880.55315807994906
1720.476613428657220.953226857314440.52338657134278
1730.6256726669702260.7486546660595470.374327333029774
1740.6210020285935790.7579959428128410.378997971406421
1750.6629933236005690.6740133527988620.337006676399431
1760.6612909949248750.6774180101502510.338709005075125
1770.6350835616229170.7298328767541660.364916438377083
1780.6566058709158380.6867882581683250.343394129084162
1790.6317921024221170.7364157951557650.368207897577883
1800.6158089428934580.7683821142130850.384191057106542
1810.602455868752250.79508826249550.39754413124775
1820.6002182565937910.7995634868124180.399781743406209
1830.57453330383580.8509333923283990.4254666961642
1840.5668383961604920.8663232076790150.433161603839508
1850.6236123538344730.7527752923310540.376387646165527
1860.6204724446705840.7590551106588320.379527555329416
1870.5938300962661220.8123398074677560.406169903733878
1880.5720562568927280.8558874862145430.427943743107272
1890.5471716501098710.9056566997802590.452828349890129
1900.5643362982842330.8713274034315350.435663701715767
1910.5420523828224380.9158952343551250.457947617177562
1920.5126444083788440.9747111832423120.487355591621156
1930.4963824066229490.9927648132458990.503617593377051
1940.4675672647922240.9351345295844490.532432735207776
1950.4395935161826360.8791870323652720.560406483817364
1960.4155230897901060.8310461795802130.584476910209894
1970.4845153532993350.9690307065986710.515484646700665
1980.6433058891813640.7133882216372730.356694110818636
1990.639159962596460.721680074807080.36084003740354
2000.6198871093979280.7602257812041430.380112890602072
2010.5970023870004940.8059952259990120.402997612999506
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2110.6041322750024970.7917354499950060.395867724997503
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2500.5643026617680220.8713946764639570.435697338231978
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2800.3562745024372220.7125490048744450.643725497562778
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2900.1788970587091540.3577941174183080.821102941290846
2910.1598699606584020.3197399213168040.840130039341598
2920.1420756429927420.2841512859854850.857924357007258
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2940.1235978659917460.2471957319834920.876402134008254
2950.1050294327247030.2100588654494060.894970567275297
2960.09272409211999210.1854481842399840.907275907880008
2970.07787336585222890.1557467317044580.922126634147771
2980.1326047781152160.2652095562304320.867395221884784
2990.1283677494513690.2567354989027380.871632250548631
3000.2769248206348940.5538496412697880.723075179365106
3010.2447331257191370.4894662514382740.755266874280863
3020.2204378946711730.4408757893423470.779562105328827
3030.2130024114208270.4260048228416540.786997588579173
3040.1974106583805450.394821316761090.802589341619455
3050.2014927992076780.4029855984153550.798507200792322
3060.1925362087287260.3850724174574530.807463791271274
3070.1689922732077020.3379845464154030.831007726792299
3080.1462857687540580.2925715375081150.853714231245942
3090.1580993278404790.3161986556809590.841900672159521
3100.1370013000903520.2740026001807030.862998699909648
3110.1207948528740410.2415897057480810.879205147125959
3120.1568283648292420.3136567296584840.843171635170758
3130.1325652980714440.2651305961428880.867434701928556
3140.1270931174693590.2541862349387190.872906882530641
3150.1096783914032220.2193567828064450.890321608596778
3160.09036689423533790.1807337884706760.909633105764662
3170.08980729065782970.1796145813156590.91019270934217
3180.07430133309564850.1486026661912970.925698666904352
3190.06537798800223820.1307559760044760.934622011997762
3200.08846302138969450.1769260427793890.911536978610306
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3500.3113058079065960.6226116158131920.688694192093404
3510.2451205146895440.4902410293790880.754879485310456
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3530.2859588115272960.5719176230545930.714041188472704
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3550.5208405914527630.9583188170944750.479159408547237







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

\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 & 0 & 0 & OK \tabularnewline
10% type I error level & 0 & 0 & OK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=147093&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]0[/C][C]0[/C][C]OK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]0[/C][C]0[/C][C]OK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=147093&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=147093&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 level00OK
10% type I error level00OK



Parameters (Session):
par1 = 1 ; par2 = Include Monthly Dummies ; par3 = Linear Trend ;
Parameters (R input):
par1 = 1 ; par2 = Include Monthly Dummies ; par3 = 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')
}