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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationTue, 09 Dec 2014 16:05:43 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Dec/09/t1418141187s2j6b0ksu8elnxv.htm/, Retrieved Thu, 31 Oct 2024 23:22:17 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=264727, Retrieved Thu, 31 Oct 2024 23:22:17 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact107
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Multiple Regression] [Paper] [2014-12-09 15:40:26] [0157b5c42b4f7eb2350035031c315d52]
-   PD    [Multiple Regression] [MRAR] [2014-12-09 16:05:43] [242d85a9bfb0ea698bfc8f0fddf92a5c] [Current]
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Dataseries X:
0 5
0 5
0 4
0 5
0 7
0 3
0 4
0 4
0 7
0 6
0 6
0 2
0 4
0 4
0 5
1 3
0 4
0 7
1 5
0 2
0 3
0 6
0 6
0 2
0 7
0 2
1 10
1 4
0 4
0 2
0 4
0 4
0 7
0 2
0 6
0 3
0 3
1 2
0 5
0 7
0 6
0 4
0 6
0 4
1 3
0 5
0 2
1 3
0 5
1 7
1 4
1 3
0 2
1 5
0 4
0 6
1 4
0 4
1 2
1 9
0 8
0 8
0 3
0 2
0 4
1 2
0 2
0 1
0 4
1 5
0 8
0 4
1 6
1 5
0 3
0 3
1 6
0 4
1 3
0 8
1 6
1 3
1 5
1 4
1 3
1 7
1 2
1 4
1 6
1 6
1 6
1 4
1 6
1 5
1 5
1 6
1 8
1 5
1 6
1 4
1 3
1 3
1 2
1 4
1 5
1 3
1 4
1 5
1 3
1 5
1 4
1 4
0 6
0 3
0 4
0 3
1 10
1 4
0 8
0 3
0 5
0 4
0 3
0 5
0 3
0 3
0 4
0 3
1 6
0 6
0 4
0 4
0 4
0 3
0 2
0 5
0 4
0 4
0 4
0 3
1 4
0 2
0 0
0 4
0 6
0 4
0 4
0 4
0 2
0 4
0 3
0 6
0 6
0 4
1 5
1 4
0 6
0 6
1 9
1 4
1 8
1 5
0 4
0 4
1 7
1 4
1 8
1 4
1 3
1 5
1 8
1 4
1 10
0 5
0 5
1 3
0 3
0 3
1 4
0 5
1 5
1 4
0 7
1 5
1 4
1 7
1 7
1 7
1 7
1 7
1 7
1 1
1 2
1 3
1 6
1 8
0 8
1 0
1 3
1 6
0 5
1 7
0 3
1 3
0 4
1 4
0 1
1 5
1 0
1 4
1 6
0 4
0 1
1 3
0 7
0 3
1 5
0 3
1 6
1 9
0 4
1 3
0 9
0 5
0 3
1 6
0 2
1 4
0 5
0 4
0 0
0 2
1 5
0 3
0 0
0 5
1 6
0 3
0 0
1 3
0 5
1 4
1 5
1 7
1 8
1 6
0 4
0 5
0 5
0 3
0 6
0 3
1 6
1 3
0 7
1 7
1 6
0 5
1 5
1 4
1 4
1 7
1 2
1 5
1 4
1 2
1 5
1 4
1 7
1 6
1 4
1 5
1 0
1 7
1 4
0 5
1 6
1 8




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time8 seconds
R Server'George Udny Yule' @ yule.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 8 seconds \tabularnewline
R Server & 'George Udny Yule' @ yule.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=264727&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]8 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ yule.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=264727&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=264727&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 time8 seconds
R Server'George Udny Yule' @ yule.wessa.net







Multiple Linear Regression - Estimated Regression Equation
Algebraic_Reasoning[t] = + 4.19718 + 0.692523Programma_Bin[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
Algebraic_Reasoning[t] =  +  4.19718 +  0.692523Programma_Bin[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=264727&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]Algebraic_Reasoning[t] =  +  4.19718 +  0.692523Programma_Bin[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=264727&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=264727&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
Algebraic_Reasoning[t] = + 4.19718 + 0.692523Programma_Bin[t] + e[t]







Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)4.197180.15972126.284.35048e-772.17524e-77
Programma_Bin0.6925230.2283583.0330.002655050.00132752

\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) & 4.19718 & 0.159721 & 26.28 & 4.35048e-77 & 2.17524e-77 \tabularnewline
Programma_Bin & 0.692523 & 0.228358 & 3.033 & 0.00265505 & 0.00132752 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=264727&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]4.19718[/C][C]0.159721[/C][C]26.28[/C][C]4.35048e-77[/C][C]2.17524e-77[/C][/ROW]
[ROW][C]Programma_Bin[/C][C]0.692523[/C][C]0.228358[/C][C]3.033[/C][C]0.00265505[/C][C]0.00132752[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=264727&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=264727&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)4.197180.15972126.284.35048e-772.17524e-77
Programma_Bin0.6925230.2283583.0330.002655050.00132752







Multiple Linear Regression - Regression Statistics
Multiple R0.179575
R-squared0.0322471
Adjusted R-squared0.0287408
F-TEST (value)9.19678
F-TEST (DF numerator)1
F-TEST (DF denominator)276
p-value0.00265505
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation1.9033
Sum Squared Residuals999.824

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.179575 \tabularnewline
R-squared & 0.0322471 \tabularnewline
Adjusted R-squared & 0.0287408 \tabularnewline
F-TEST (value) & 9.19678 \tabularnewline
F-TEST (DF numerator) & 1 \tabularnewline
F-TEST (DF denominator) & 276 \tabularnewline
p-value & 0.00265505 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 1.9033 \tabularnewline
Sum Squared Residuals & 999.824 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=264727&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.179575[/C][/ROW]
[ROW][C]R-squared[/C][C]0.0322471[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.0287408[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]9.19678[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]1[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]276[/C][/ROW]
[ROW][C]p-value[/C][C]0.00265505[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]1.9033[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]999.824[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=264727&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=264727&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 R0.179575
R-squared0.0322471
Adjusted R-squared0.0287408
F-TEST (value)9.19678
F-TEST (DF numerator)1
F-TEST (DF denominator)276
p-value0.00265505
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation1.9033
Sum Squared Residuals999.824







Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
154.197180.802817
254.197180.802817
344.19718-0.197183
454.197180.802817
574.197182.80282
634.19718-1.19718
744.19718-0.197183
844.19718-0.197183
974.197182.80282
1064.197181.80282
1164.197181.80282
1224.19718-2.19718
1344.19718-0.197183
1444.19718-0.197183
1554.197180.802817
1634.88971-1.88971
1744.19718-0.197183
1874.197182.80282
1954.889710.110294
2024.19718-2.19718
2134.19718-1.19718
2264.197181.80282
2364.197181.80282
2424.19718-2.19718
2574.197182.80282
2624.19718-2.19718
27104.889715.11029
2844.88971-0.889706
2944.19718-0.197183
3024.19718-2.19718
3144.19718-0.197183
3244.19718-0.197183
3374.197182.80282
3424.19718-2.19718
3564.197181.80282
3634.19718-1.19718
3734.19718-1.19718
3824.88971-2.88971
3954.197180.802817
4074.197182.80282
4164.197181.80282
4244.19718-0.197183
4364.197181.80282
4444.19718-0.197183
4534.88971-1.88971
4654.197180.802817
4724.19718-2.19718
4834.88971-1.88971
4954.197180.802817
5074.889712.11029
5144.88971-0.889706
5234.88971-1.88971
5324.19718-2.19718
5454.889710.110294
5544.19718-0.197183
5664.197181.80282
5744.88971-0.889706
5844.19718-0.197183
5924.88971-2.88971
6094.889714.11029
6184.197183.80282
6284.197183.80282
6334.19718-1.19718
6424.19718-2.19718
6544.19718-0.197183
6624.88971-2.88971
6724.19718-2.19718
6814.19718-3.19718
6944.19718-0.197183
7054.889710.110294
7184.197183.80282
7244.19718-0.197183
7364.889711.11029
7454.889710.110294
7534.19718-1.19718
7634.19718-1.19718
7764.889711.11029
7844.19718-0.197183
7934.88971-1.88971
8084.197183.80282
8164.889711.11029
8234.88971-1.88971
8354.889710.110294
8444.88971-0.889706
8534.88971-1.88971
8674.889712.11029
8724.88971-2.88971
8844.88971-0.889706
8964.889711.11029
9064.889711.11029
9164.889711.11029
9244.88971-0.889706
9364.889711.11029
9454.889710.110294
9554.889710.110294
9664.889711.11029
9784.889713.11029
9854.889710.110294
9964.889711.11029
10044.88971-0.889706
10134.88971-1.88971
10234.88971-1.88971
10324.88971-2.88971
10444.88971-0.889706
10554.889710.110294
10634.88971-1.88971
10744.88971-0.889706
10854.889710.110294
10934.88971-1.88971
11054.889710.110294
11144.88971-0.889706
11244.88971-0.889706
11364.197181.80282
11434.19718-1.19718
11544.19718-0.197183
11634.19718-1.19718
117104.889715.11029
11844.88971-0.889706
11984.197183.80282
12034.19718-1.19718
12154.197180.802817
12244.19718-0.197183
12334.19718-1.19718
12454.197180.802817
12534.19718-1.19718
12634.19718-1.19718
12744.19718-0.197183
12834.19718-1.19718
12964.889711.11029
13064.197181.80282
13144.19718-0.197183
13244.19718-0.197183
13344.19718-0.197183
13434.19718-1.19718
13524.19718-2.19718
13654.197180.802817
13744.19718-0.197183
13844.19718-0.197183
13944.19718-0.197183
14034.19718-1.19718
14144.88971-0.889706
14224.19718-2.19718
14304.19718-4.19718
14444.19718-0.197183
14564.197181.80282
14644.19718-0.197183
14744.19718-0.197183
14844.19718-0.197183
14924.19718-2.19718
15044.19718-0.197183
15134.19718-1.19718
15264.197181.80282
15364.197181.80282
15444.19718-0.197183
15554.889710.110294
15644.88971-0.889706
15764.197181.80282
15864.197181.80282
15994.889714.11029
16044.88971-0.889706
16184.889713.11029
16254.889710.110294
16344.19718-0.197183
16444.19718-0.197183
16574.889712.11029
16644.88971-0.889706
16784.889713.11029
16844.88971-0.889706
16934.88971-1.88971
17054.889710.110294
17184.889713.11029
17244.88971-0.889706
173104.889715.11029
17454.197180.802817
17554.197180.802817
17634.88971-1.88971
17734.19718-1.19718
17834.19718-1.19718
17944.88971-0.889706
18054.197180.802817
18154.889710.110294
18244.88971-0.889706
18374.197182.80282
18454.889710.110294
18544.88971-0.889706
18674.889712.11029
18774.889712.11029
18874.889712.11029
18974.889712.11029
19074.889712.11029
19174.889712.11029
19214.88971-3.88971
19324.88971-2.88971
19434.88971-1.88971
19564.889711.11029
19684.889713.11029
19784.197183.80282
19804.88971-4.88971
19934.88971-1.88971
20064.889711.11029
20154.197180.802817
20274.889712.11029
20334.19718-1.19718
20434.88971-1.88971
20544.19718-0.197183
20644.88971-0.889706
20714.19718-3.19718
20854.889710.110294
20904.88971-4.88971
21044.88971-0.889706
21164.889711.11029
21244.19718-0.197183
21314.19718-3.19718
21434.88971-1.88971
21574.197182.80282
21634.19718-1.19718
21754.889710.110294
21834.19718-1.19718
21964.889711.11029
22094.889714.11029
22144.19718-0.197183
22234.88971-1.88971
22394.197184.80282
22454.197180.802817
22534.19718-1.19718
22664.889711.11029
22724.19718-2.19718
22844.88971-0.889706
22954.197180.802817
23044.19718-0.197183
23104.19718-4.19718
23224.19718-2.19718
23354.889710.110294
23434.19718-1.19718
23504.19718-4.19718
23654.197180.802817
23764.889711.11029
23834.19718-1.19718
23904.19718-4.19718
24034.88971-1.88971
24154.197180.802817
24244.88971-0.889706
24354.889710.110294
24474.889712.11029
24584.889713.11029
24664.889711.11029
24744.19718-0.197183
24854.197180.802817
24954.197180.802817
25034.19718-1.19718
25164.197181.80282
25234.19718-1.19718
25364.889711.11029
25434.88971-1.88971
25574.197182.80282
25674.889712.11029
25764.889711.11029
25854.197180.802817
25954.889710.110294
26044.88971-0.889706
26144.88971-0.889706
26274.889712.11029
26324.88971-2.88971
26454.889710.110294
26544.88971-0.889706
26624.88971-2.88971
26754.889710.110294
26844.88971-0.889706
26974.889712.11029
27064.889711.11029
27144.88971-0.889706
27254.889710.110294
27304.88971-4.88971
27474.889712.11029
27544.88971-0.889706
27654.197180.802817
27764.889711.11029
27884.889713.11029

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 5 & 4.19718 & 0.802817 \tabularnewline
2 & 5 & 4.19718 & 0.802817 \tabularnewline
3 & 4 & 4.19718 & -0.197183 \tabularnewline
4 & 5 & 4.19718 & 0.802817 \tabularnewline
5 & 7 & 4.19718 & 2.80282 \tabularnewline
6 & 3 & 4.19718 & -1.19718 \tabularnewline
7 & 4 & 4.19718 & -0.197183 \tabularnewline
8 & 4 & 4.19718 & -0.197183 \tabularnewline
9 & 7 & 4.19718 & 2.80282 \tabularnewline
10 & 6 & 4.19718 & 1.80282 \tabularnewline
11 & 6 & 4.19718 & 1.80282 \tabularnewline
12 & 2 & 4.19718 & -2.19718 \tabularnewline
13 & 4 & 4.19718 & -0.197183 \tabularnewline
14 & 4 & 4.19718 & -0.197183 \tabularnewline
15 & 5 & 4.19718 & 0.802817 \tabularnewline
16 & 3 & 4.88971 & -1.88971 \tabularnewline
17 & 4 & 4.19718 & -0.197183 \tabularnewline
18 & 7 & 4.19718 & 2.80282 \tabularnewline
19 & 5 & 4.88971 & 0.110294 \tabularnewline
20 & 2 & 4.19718 & -2.19718 \tabularnewline
21 & 3 & 4.19718 & -1.19718 \tabularnewline
22 & 6 & 4.19718 & 1.80282 \tabularnewline
23 & 6 & 4.19718 & 1.80282 \tabularnewline
24 & 2 & 4.19718 & -2.19718 \tabularnewline
25 & 7 & 4.19718 & 2.80282 \tabularnewline
26 & 2 & 4.19718 & -2.19718 \tabularnewline
27 & 10 & 4.88971 & 5.11029 \tabularnewline
28 & 4 & 4.88971 & -0.889706 \tabularnewline
29 & 4 & 4.19718 & -0.197183 \tabularnewline
30 & 2 & 4.19718 & -2.19718 \tabularnewline
31 & 4 & 4.19718 & -0.197183 \tabularnewline
32 & 4 & 4.19718 & -0.197183 \tabularnewline
33 & 7 & 4.19718 & 2.80282 \tabularnewline
34 & 2 & 4.19718 & -2.19718 \tabularnewline
35 & 6 & 4.19718 & 1.80282 \tabularnewline
36 & 3 & 4.19718 & -1.19718 \tabularnewline
37 & 3 & 4.19718 & -1.19718 \tabularnewline
38 & 2 & 4.88971 & -2.88971 \tabularnewline
39 & 5 & 4.19718 & 0.802817 \tabularnewline
40 & 7 & 4.19718 & 2.80282 \tabularnewline
41 & 6 & 4.19718 & 1.80282 \tabularnewline
42 & 4 & 4.19718 & -0.197183 \tabularnewline
43 & 6 & 4.19718 & 1.80282 \tabularnewline
44 & 4 & 4.19718 & -0.197183 \tabularnewline
45 & 3 & 4.88971 & -1.88971 \tabularnewline
46 & 5 & 4.19718 & 0.802817 \tabularnewline
47 & 2 & 4.19718 & -2.19718 \tabularnewline
48 & 3 & 4.88971 & -1.88971 \tabularnewline
49 & 5 & 4.19718 & 0.802817 \tabularnewline
50 & 7 & 4.88971 & 2.11029 \tabularnewline
51 & 4 & 4.88971 & -0.889706 \tabularnewline
52 & 3 & 4.88971 & -1.88971 \tabularnewline
53 & 2 & 4.19718 & -2.19718 \tabularnewline
54 & 5 & 4.88971 & 0.110294 \tabularnewline
55 & 4 & 4.19718 & -0.197183 \tabularnewline
56 & 6 & 4.19718 & 1.80282 \tabularnewline
57 & 4 & 4.88971 & -0.889706 \tabularnewline
58 & 4 & 4.19718 & -0.197183 \tabularnewline
59 & 2 & 4.88971 & -2.88971 \tabularnewline
60 & 9 & 4.88971 & 4.11029 \tabularnewline
61 & 8 & 4.19718 & 3.80282 \tabularnewline
62 & 8 & 4.19718 & 3.80282 \tabularnewline
63 & 3 & 4.19718 & -1.19718 \tabularnewline
64 & 2 & 4.19718 & -2.19718 \tabularnewline
65 & 4 & 4.19718 & -0.197183 \tabularnewline
66 & 2 & 4.88971 & -2.88971 \tabularnewline
67 & 2 & 4.19718 & -2.19718 \tabularnewline
68 & 1 & 4.19718 & -3.19718 \tabularnewline
69 & 4 & 4.19718 & -0.197183 \tabularnewline
70 & 5 & 4.88971 & 0.110294 \tabularnewline
71 & 8 & 4.19718 & 3.80282 \tabularnewline
72 & 4 & 4.19718 & -0.197183 \tabularnewline
73 & 6 & 4.88971 & 1.11029 \tabularnewline
74 & 5 & 4.88971 & 0.110294 \tabularnewline
75 & 3 & 4.19718 & -1.19718 \tabularnewline
76 & 3 & 4.19718 & -1.19718 \tabularnewline
77 & 6 & 4.88971 & 1.11029 \tabularnewline
78 & 4 & 4.19718 & -0.197183 \tabularnewline
79 & 3 & 4.88971 & -1.88971 \tabularnewline
80 & 8 & 4.19718 & 3.80282 \tabularnewline
81 & 6 & 4.88971 & 1.11029 \tabularnewline
82 & 3 & 4.88971 & -1.88971 \tabularnewline
83 & 5 & 4.88971 & 0.110294 \tabularnewline
84 & 4 & 4.88971 & -0.889706 \tabularnewline
85 & 3 & 4.88971 & -1.88971 \tabularnewline
86 & 7 & 4.88971 & 2.11029 \tabularnewline
87 & 2 & 4.88971 & -2.88971 \tabularnewline
88 & 4 & 4.88971 & -0.889706 \tabularnewline
89 & 6 & 4.88971 & 1.11029 \tabularnewline
90 & 6 & 4.88971 & 1.11029 \tabularnewline
91 & 6 & 4.88971 & 1.11029 \tabularnewline
92 & 4 & 4.88971 & -0.889706 \tabularnewline
93 & 6 & 4.88971 & 1.11029 \tabularnewline
94 & 5 & 4.88971 & 0.110294 \tabularnewline
95 & 5 & 4.88971 & 0.110294 \tabularnewline
96 & 6 & 4.88971 & 1.11029 \tabularnewline
97 & 8 & 4.88971 & 3.11029 \tabularnewline
98 & 5 & 4.88971 & 0.110294 \tabularnewline
99 & 6 & 4.88971 & 1.11029 \tabularnewline
100 & 4 & 4.88971 & -0.889706 \tabularnewline
101 & 3 & 4.88971 & -1.88971 \tabularnewline
102 & 3 & 4.88971 & -1.88971 \tabularnewline
103 & 2 & 4.88971 & -2.88971 \tabularnewline
104 & 4 & 4.88971 & -0.889706 \tabularnewline
105 & 5 & 4.88971 & 0.110294 \tabularnewline
106 & 3 & 4.88971 & -1.88971 \tabularnewline
107 & 4 & 4.88971 & -0.889706 \tabularnewline
108 & 5 & 4.88971 & 0.110294 \tabularnewline
109 & 3 & 4.88971 & -1.88971 \tabularnewline
110 & 5 & 4.88971 & 0.110294 \tabularnewline
111 & 4 & 4.88971 & -0.889706 \tabularnewline
112 & 4 & 4.88971 & -0.889706 \tabularnewline
113 & 6 & 4.19718 & 1.80282 \tabularnewline
114 & 3 & 4.19718 & -1.19718 \tabularnewline
115 & 4 & 4.19718 & -0.197183 \tabularnewline
116 & 3 & 4.19718 & -1.19718 \tabularnewline
117 & 10 & 4.88971 & 5.11029 \tabularnewline
118 & 4 & 4.88971 & -0.889706 \tabularnewline
119 & 8 & 4.19718 & 3.80282 \tabularnewline
120 & 3 & 4.19718 & -1.19718 \tabularnewline
121 & 5 & 4.19718 & 0.802817 \tabularnewline
122 & 4 & 4.19718 & -0.197183 \tabularnewline
123 & 3 & 4.19718 & -1.19718 \tabularnewline
124 & 5 & 4.19718 & 0.802817 \tabularnewline
125 & 3 & 4.19718 & -1.19718 \tabularnewline
126 & 3 & 4.19718 & -1.19718 \tabularnewline
127 & 4 & 4.19718 & -0.197183 \tabularnewline
128 & 3 & 4.19718 & -1.19718 \tabularnewline
129 & 6 & 4.88971 & 1.11029 \tabularnewline
130 & 6 & 4.19718 & 1.80282 \tabularnewline
131 & 4 & 4.19718 & -0.197183 \tabularnewline
132 & 4 & 4.19718 & -0.197183 \tabularnewline
133 & 4 & 4.19718 & -0.197183 \tabularnewline
134 & 3 & 4.19718 & -1.19718 \tabularnewline
135 & 2 & 4.19718 & -2.19718 \tabularnewline
136 & 5 & 4.19718 & 0.802817 \tabularnewline
137 & 4 & 4.19718 & -0.197183 \tabularnewline
138 & 4 & 4.19718 & -0.197183 \tabularnewline
139 & 4 & 4.19718 & -0.197183 \tabularnewline
140 & 3 & 4.19718 & -1.19718 \tabularnewline
141 & 4 & 4.88971 & -0.889706 \tabularnewline
142 & 2 & 4.19718 & -2.19718 \tabularnewline
143 & 0 & 4.19718 & -4.19718 \tabularnewline
144 & 4 & 4.19718 & -0.197183 \tabularnewline
145 & 6 & 4.19718 & 1.80282 \tabularnewline
146 & 4 & 4.19718 & -0.197183 \tabularnewline
147 & 4 & 4.19718 & -0.197183 \tabularnewline
148 & 4 & 4.19718 & -0.197183 \tabularnewline
149 & 2 & 4.19718 & -2.19718 \tabularnewline
150 & 4 & 4.19718 & -0.197183 \tabularnewline
151 & 3 & 4.19718 & -1.19718 \tabularnewline
152 & 6 & 4.19718 & 1.80282 \tabularnewline
153 & 6 & 4.19718 & 1.80282 \tabularnewline
154 & 4 & 4.19718 & -0.197183 \tabularnewline
155 & 5 & 4.88971 & 0.110294 \tabularnewline
156 & 4 & 4.88971 & -0.889706 \tabularnewline
157 & 6 & 4.19718 & 1.80282 \tabularnewline
158 & 6 & 4.19718 & 1.80282 \tabularnewline
159 & 9 & 4.88971 & 4.11029 \tabularnewline
160 & 4 & 4.88971 & -0.889706 \tabularnewline
161 & 8 & 4.88971 & 3.11029 \tabularnewline
162 & 5 & 4.88971 & 0.110294 \tabularnewline
163 & 4 & 4.19718 & -0.197183 \tabularnewline
164 & 4 & 4.19718 & -0.197183 \tabularnewline
165 & 7 & 4.88971 & 2.11029 \tabularnewline
166 & 4 & 4.88971 & -0.889706 \tabularnewline
167 & 8 & 4.88971 & 3.11029 \tabularnewline
168 & 4 & 4.88971 & -0.889706 \tabularnewline
169 & 3 & 4.88971 & -1.88971 \tabularnewline
170 & 5 & 4.88971 & 0.110294 \tabularnewline
171 & 8 & 4.88971 & 3.11029 \tabularnewline
172 & 4 & 4.88971 & -0.889706 \tabularnewline
173 & 10 & 4.88971 & 5.11029 \tabularnewline
174 & 5 & 4.19718 & 0.802817 \tabularnewline
175 & 5 & 4.19718 & 0.802817 \tabularnewline
176 & 3 & 4.88971 & -1.88971 \tabularnewline
177 & 3 & 4.19718 & -1.19718 \tabularnewline
178 & 3 & 4.19718 & -1.19718 \tabularnewline
179 & 4 & 4.88971 & -0.889706 \tabularnewline
180 & 5 & 4.19718 & 0.802817 \tabularnewline
181 & 5 & 4.88971 & 0.110294 \tabularnewline
182 & 4 & 4.88971 & -0.889706 \tabularnewline
183 & 7 & 4.19718 & 2.80282 \tabularnewline
184 & 5 & 4.88971 & 0.110294 \tabularnewline
185 & 4 & 4.88971 & -0.889706 \tabularnewline
186 & 7 & 4.88971 & 2.11029 \tabularnewline
187 & 7 & 4.88971 & 2.11029 \tabularnewline
188 & 7 & 4.88971 & 2.11029 \tabularnewline
189 & 7 & 4.88971 & 2.11029 \tabularnewline
190 & 7 & 4.88971 & 2.11029 \tabularnewline
191 & 7 & 4.88971 & 2.11029 \tabularnewline
192 & 1 & 4.88971 & -3.88971 \tabularnewline
193 & 2 & 4.88971 & -2.88971 \tabularnewline
194 & 3 & 4.88971 & -1.88971 \tabularnewline
195 & 6 & 4.88971 & 1.11029 \tabularnewline
196 & 8 & 4.88971 & 3.11029 \tabularnewline
197 & 8 & 4.19718 & 3.80282 \tabularnewline
198 & 0 & 4.88971 & -4.88971 \tabularnewline
199 & 3 & 4.88971 & -1.88971 \tabularnewline
200 & 6 & 4.88971 & 1.11029 \tabularnewline
201 & 5 & 4.19718 & 0.802817 \tabularnewline
202 & 7 & 4.88971 & 2.11029 \tabularnewline
203 & 3 & 4.19718 & -1.19718 \tabularnewline
204 & 3 & 4.88971 & -1.88971 \tabularnewline
205 & 4 & 4.19718 & -0.197183 \tabularnewline
206 & 4 & 4.88971 & -0.889706 \tabularnewline
207 & 1 & 4.19718 & -3.19718 \tabularnewline
208 & 5 & 4.88971 & 0.110294 \tabularnewline
209 & 0 & 4.88971 & -4.88971 \tabularnewline
210 & 4 & 4.88971 & -0.889706 \tabularnewline
211 & 6 & 4.88971 & 1.11029 \tabularnewline
212 & 4 & 4.19718 & -0.197183 \tabularnewline
213 & 1 & 4.19718 & -3.19718 \tabularnewline
214 & 3 & 4.88971 & -1.88971 \tabularnewline
215 & 7 & 4.19718 & 2.80282 \tabularnewline
216 & 3 & 4.19718 & -1.19718 \tabularnewline
217 & 5 & 4.88971 & 0.110294 \tabularnewline
218 & 3 & 4.19718 & -1.19718 \tabularnewline
219 & 6 & 4.88971 & 1.11029 \tabularnewline
220 & 9 & 4.88971 & 4.11029 \tabularnewline
221 & 4 & 4.19718 & -0.197183 \tabularnewline
222 & 3 & 4.88971 & -1.88971 \tabularnewline
223 & 9 & 4.19718 & 4.80282 \tabularnewline
224 & 5 & 4.19718 & 0.802817 \tabularnewline
225 & 3 & 4.19718 & -1.19718 \tabularnewline
226 & 6 & 4.88971 & 1.11029 \tabularnewline
227 & 2 & 4.19718 & -2.19718 \tabularnewline
228 & 4 & 4.88971 & -0.889706 \tabularnewline
229 & 5 & 4.19718 & 0.802817 \tabularnewline
230 & 4 & 4.19718 & -0.197183 \tabularnewline
231 & 0 & 4.19718 & -4.19718 \tabularnewline
232 & 2 & 4.19718 & -2.19718 \tabularnewline
233 & 5 & 4.88971 & 0.110294 \tabularnewline
234 & 3 & 4.19718 & -1.19718 \tabularnewline
235 & 0 & 4.19718 & -4.19718 \tabularnewline
236 & 5 & 4.19718 & 0.802817 \tabularnewline
237 & 6 & 4.88971 & 1.11029 \tabularnewline
238 & 3 & 4.19718 & -1.19718 \tabularnewline
239 & 0 & 4.19718 & -4.19718 \tabularnewline
240 & 3 & 4.88971 & -1.88971 \tabularnewline
241 & 5 & 4.19718 & 0.802817 \tabularnewline
242 & 4 & 4.88971 & -0.889706 \tabularnewline
243 & 5 & 4.88971 & 0.110294 \tabularnewline
244 & 7 & 4.88971 & 2.11029 \tabularnewline
245 & 8 & 4.88971 & 3.11029 \tabularnewline
246 & 6 & 4.88971 & 1.11029 \tabularnewline
247 & 4 & 4.19718 & -0.197183 \tabularnewline
248 & 5 & 4.19718 & 0.802817 \tabularnewline
249 & 5 & 4.19718 & 0.802817 \tabularnewline
250 & 3 & 4.19718 & -1.19718 \tabularnewline
251 & 6 & 4.19718 & 1.80282 \tabularnewline
252 & 3 & 4.19718 & -1.19718 \tabularnewline
253 & 6 & 4.88971 & 1.11029 \tabularnewline
254 & 3 & 4.88971 & -1.88971 \tabularnewline
255 & 7 & 4.19718 & 2.80282 \tabularnewline
256 & 7 & 4.88971 & 2.11029 \tabularnewline
257 & 6 & 4.88971 & 1.11029 \tabularnewline
258 & 5 & 4.19718 & 0.802817 \tabularnewline
259 & 5 & 4.88971 & 0.110294 \tabularnewline
260 & 4 & 4.88971 & -0.889706 \tabularnewline
261 & 4 & 4.88971 & -0.889706 \tabularnewline
262 & 7 & 4.88971 & 2.11029 \tabularnewline
263 & 2 & 4.88971 & -2.88971 \tabularnewline
264 & 5 & 4.88971 & 0.110294 \tabularnewline
265 & 4 & 4.88971 & -0.889706 \tabularnewline
266 & 2 & 4.88971 & -2.88971 \tabularnewline
267 & 5 & 4.88971 & 0.110294 \tabularnewline
268 & 4 & 4.88971 & -0.889706 \tabularnewline
269 & 7 & 4.88971 & 2.11029 \tabularnewline
270 & 6 & 4.88971 & 1.11029 \tabularnewline
271 & 4 & 4.88971 & -0.889706 \tabularnewline
272 & 5 & 4.88971 & 0.110294 \tabularnewline
273 & 0 & 4.88971 & -4.88971 \tabularnewline
274 & 7 & 4.88971 & 2.11029 \tabularnewline
275 & 4 & 4.88971 & -0.889706 \tabularnewline
276 & 5 & 4.19718 & 0.802817 \tabularnewline
277 & 6 & 4.88971 & 1.11029 \tabularnewline
278 & 8 & 4.88971 & 3.11029 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=264727&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]5[/C][C]4.19718[/C][C]0.802817[/C][/ROW]
[ROW][C]2[/C][C]5[/C][C]4.19718[/C][C]0.802817[/C][/ROW]
[ROW][C]3[/C][C]4[/C][C]4.19718[/C][C]-0.197183[/C][/ROW]
[ROW][C]4[/C][C]5[/C][C]4.19718[/C][C]0.802817[/C][/ROW]
[ROW][C]5[/C][C]7[/C][C]4.19718[/C][C]2.80282[/C][/ROW]
[ROW][C]6[/C][C]3[/C][C]4.19718[/C][C]-1.19718[/C][/ROW]
[ROW][C]7[/C][C]4[/C][C]4.19718[/C][C]-0.197183[/C][/ROW]
[ROW][C]8[/C][C]4[/C][C]4.19718[/C][C]-0.197183[/C][/ROW]
[ROW][C]9[/C][C]7[/C][C]4.19718[/C][C]2.80282[/C][/ROW]
[ROW][C]10[/C][C]6[/C][C]4.19718[/C][C]1.80282[/C][/ROW]
[ROW][C]11[/C][C]6[/C][C]4.19718[/C][C]1.80282[/C][/ROW]
[ROW][C]12[/C][C]2[/C][C]4.19718[/C][C]-2.19718[/C][/ROW]
[ROW][C]13[/C][C]4[/C][C]4.19718[/C][C]-0.197183[/C][/ROW]
[ROW][C]14[/C][C]4[/C][C]4.19718[/C][C]-0.197183[/C][/ROW]
[ROW][C]15[/C][C]5[/C][C]4.19718[/C][C]0.802817[/C][/ROW]
[ROW][C]16[/C][C]3[/C][C]4.88971[/C][C]-1.88971[/C][/ROW]
[ROW][C]17[/C][C]4[/C][C]4.19718[/C][C]-0.197183[/C][/ROW]
[ROW][C]18[/C][C]7[/C][C]4.19718[/C][C]2.80282[/C][/ROW]
[ROW][C]19[/C][C]5[/C][C]4.88971[/C][C]0.110294[/C][/ROW]
[ROW][C]20[/C][C]2[/C][C]4.19718[/C][C]-2.19718[/C][/ROW]
[ROW][C]21[/C][C]3[/C][C]4.19718[/C][C]-1.19718[/C][/ROW]
[ROW][C]22[/C][C]6[/C][C]4.19718[/C][C]1.80282[/C][/ROW]
[ROW][C]23[/C][C]6[/C][C]4.19718[/C][C]1.80282[/C][/ROW]
[ROW][C]24[/C][C]2[/C][C]4.19718[/C][C]-2.19718[/C][/ROW]
[ROW][C]25[/C][C]7[/C][C]4.19718[/C][C]2.80282[/C][/ROW]
[ROW][C]26[/C][C]2[/C][C]4.19718[/C][C]-2.19718[/C][/ROW]
[ROW][C]27[/C][C]10[/C][C]4.88971[/C][C]5.11029[/C][/ROW]
[ROW][C]28[/C][C]4[/C][C]4.88971[/C][C]-0.889706[/C][/ROW]
[ROW][C]29[/C][C]4[/C][C]4.19718[/C][C]-0.197183[/C][/ROW]
[ROW][C]30[/C][C]2[/C][C]4.19718[/C][C]-2.19718[/C][/ROW]
[ROW][C]31[/C][C]4[/C][C]4.19718[/C][C]-0.197183[/C][/ROW]
[ROW][C]32[/C][C]4[/C][C]4.19718[/C][C]-0.197183[/C][/ROW]
[ROW][C]33[/C][C]7[/C][C]4.19718[/C][C]2.80282[/C][/ROW]
[ROW][C]34[/C][C]2[/C][C]4.19718[/C][C]-2.19718[/C][/ROW]
[ROW][C]35[/C][C]6[/C][C]4.19718[/C][C]1.80282[/C][/ROW]
[ROW][C]36[/C][C]3[/C][C]4.19718[/C][C]-1.19718[/C][/ROW]
[ROW][C]37[/C][C]3[/C][C]4.19718[/C][C]-1.19718[/C][/ROW]
[ROW][C]38[/C][C]2[/C][C]4.88971[/C][C]-2.88971[/C][/ROW]
[ROW][C]39[/C][C]5[/C][C]4.19718[/C][C]0.802817[/C][/ROW]
[ROW][C]40[/C][C]7[/C][C]4.19718[/C][C]2.80282[/C][/ROW]
[ROW][C]41[/C][C]6[/C][C]4.19718[/C][C]1.80282[/C][/ROW]
[ROW][C]42[/C][C]4[/C][C]4.19718[/C][C]-0.197183[/C][/ROW]
[ROW][C]43[/C][C]6[/C][C]4.19718[/C][C]1.80282[/C][/ROW]
[ROW][C]44[/C][C]4[/C][C]4.19718[/C][C]-0.197183[/C][/ROW]
[ROW][C]45[/C][C]3[/C][C]4.88971[/C][C]-1.88971[/C][/ROW]
[ROW][C]46[/C][C]5[/C][C]4.19718[/C][C]0.802817[/C][/ROW]
[ROW][C]47[/C][C]2[/C][C]4.19718[/C][C]-2.19718[/C][/ROW]
[ROW][C]48[/C][C]3[/C][C]4.88971[/C][C]-1.88971[/C][/ROW]
[ROW][C]49[/C][C]5[/C][C]4.19718[/C][C]0.802817[/C][/ROW]
[ROW][C]50[/C][C]7[/C][C]4.88971[/C][C]2.11029[/C][/ROW]
[ROW][C]51[/C][C]4[/C][C]4.88971[/C][C]-0.889706[/C][/ROW]
[ROW][C]52[/C][C]3[/C][C]4.88971[/C][C]-1.88971[/C][/ROW]
[ROW][C]53[/C][C]2[/C][C]4.19718[/C][C]-2.19718[/C][/ROW]
[ROW][C]54[/C][C]5[/C][C]4.88971[/C][C]0.110294[/C][/ROW]
[ROW][C]55[/C][C]4[/C][C]4.19718[/C][C]-0.197183[/C][/ROW]
[ROW][C]56[/C][C]6[/C][C]4.19718[/C][C]1.80282[/C][/ROW]
[ROW][C]57[/C][C]4[/C][C]4.88971[/C][C]-0.889706[/C][/ROW]
[ROW][C]58[/C][C]4[/C][C]4.19718[/C][C]-0.197183[/C][/ROW]
[ROW][C]59[/C][C]2[/C][C]4.88971[/C][C]-2.88971[/C][/ROW]
[ROW][C]60[/C][C]9[/C][C]4.88971[/C][C]4.11029[/C][/ROW]
[ROW][C]61[/C][C]8[/C][C]4.19718[/C][C]3.80282[/C][/ROW]
[ROW][C]62[/C][C]8[/C][C]4.19718[/C][C]3.80282[/C][/ROW]
[ROW][C]63[/C][C]3[/C][C]4.19718[/C][C]-1.19718[/C][/ROW]
[ROW][C]64[/C][C]2[/C][C]4.19718[/C][C]-2.19718[/C][/ROW]
[ROW][C]65[/C][C]4[/C][C]4.19718[/C][C]-0.197183[/C][/ROW]
[ROW][C]66[/C][C]2[/C][C]4.88971[/C][C]-2.88971[/C][/ROW]
[ROW][C]67[/C][C]2[/C][C]4.19718[/C][C]-2.19718[/C][/ROW]
[ROW][C]68[/C][C]1[/C][C]4.19718[/C][C]-3.19718[/C][/ROW]
[ROW][C]69[/C][C]4[/C][C]4.19718[/C][C]-0.197183[/C][/ROW]
[ROW][C]70[/C][C]5[/C][C]4.88971[/C][C]0.110294[/C][/ROW]
[ROW][C]71[/C][C]8[/C][C]4.19718[/C][C]3.80282[/C][/ROW]
[ROW][C]72[/C][C]4[/C][C]4.19718[/C][C]-0.197183[/C][/ROW]
[ROW][C]73[/C][C]6[/C][C]4.88971[/C][C]1.11029[/C][/ROW]
[ROW][C]74[/C][C]5[/C][C]4.88971[/C][C]0.110294[/C][/ROW]
[ROW][C]75[/C][C]3[/C][C]4.19718[/C][C]-1.19718[/C][/ROW]
[ROW][C]76[/C][C]3[/C][C]4.19718[/C][C]-1.19718[/C][/ROW]
[ROW][C]77[/C][C]6[/C][C]4.88971[/C][C]1.11029[/C][/ROW]
[ROW][C]78[/C][C]4[/C][C]4.19718[/C][C]-0.197183[/C][/ROW]
[ROW][C]79[/C][C]3[/C][C]4.88971[/C][C]-1.88971[/C][/ROW]
[ROW][C]80[/C][C]8[/C][C]4.19718[/C][C]3.80282[/C][/ROW]
[ROW][C]81[/C][C]6[/C][C]4.88971[/C][C]1.11029[/C][/ROW]
[ROW][C]82[/C][C]3[/C][C]4.88971[/C][C]-1.88971[/C][/ROW]
[ROW][C]83[/C][C]5[/C][C]4.88971[/C][C]0.110294[/C][/ROW]
[ROW][C]84[/C][C]4[/C][C]4.88971[/C][C]-0.889706[/C][/ROW]
[ROW][C]85[/C][C]3[/C][C]4.88971[/C][C]-1.88971[/C][/ROW]
[ROW][C]86[/C][C]7[/C][C]4.88971[/C][C]2.11029[/C][/ROW]
[ROW][C]87[/C][C]2[/C][C]4.88971[/C][C]-2.88971[/C][/ROW]
[ROW][C]88[/C][C]4[/C][C]4.88971[/C][C]-0.889706[/C][/ROW]
[ROW][C]89[/C][C]6[/C][C]4.88971[/C][C]1.11029[/C][/ROW]
[ROW][C]90[/C][C]6[/C][C]4.88971[/C][C]1.11029[/C][/ROW]
[ROW][C]91[/C][C]6[/C][C]4.88971[/C][C]1.11029[/C][/ROW]
[ROW][C]92[/C][C]4[/C][C]4.88971[/C][C]-0.889706[/C][/ROW]
[ROW][C]93[/C][C]6[/C][C]4.88971[/C][C]1.11029[/C][/ROW]
[ROW][C]94[/C][C]5[/C][C]4.88971[/C][C]0.110294[/C][/ROW]
[ROW][C]95[/C][C]5[/C][C]4.88971[/C][C]0.110294[/C][/ROW]
[ROW][C]96[/C][C]6[/C][C]4.88971[/C][C]1.11029[/C][/ROW]
[ROW][C]97[/C][C]8[/C][C]4.88971[/C][C]3.11029[/C][/ROW]
[ROW][C]98[/C][C]5[/C][C]4.88971[/C][C]0.110294[/C][/ROW]
[ROW][C]99[/C][C]6[/C][C]4.88971[/C][C]1.11029[/C][/ROW]
[ROW][C]100[/C][C]4[/C][C]4.88971[/C][C]-0.889706[/C][/ROW]
[ROW][C]101[/C][C]3[/C][C]4.88971[/C][C]-1.88971[/C][/ROW]
[ROW][C]102[/C][C]3[/C][C]4.88971[/C][C]-1.88971[/C][/ROW]
[ROW][C]103[/C][C]2[/C][C]4.88971[/C][C]-2.88971[/C][/ROW]
[ROW][C]104[/C][C]4[/C][C]4.88971[/C][C]-0.889706[/C][/ROW]
[ROW][C]105[/C][C]5[/C][C]4.88971[/C][C]0.110294[/C][/ROW]
[ROW][C]106[/C][C]3[/C][C]4.88971[/C][C]-1.88971[/C][/ROW]
[ROW][C]107[/C][C]4[/C][C]4.88971[/C][C]-0.889706[/C][/ROW]
[ROW][C]108[/C][C]5[/C][C]4.88971[/C][C]0.110294[/C][/ROW]
[ROW][C]109[/C][C]3[/C][C]4.88971[/C][C]-1.88971[/C][/ROW]
[ROW][C]110[/C][C]5[/C][C]4.88971[/C][C]0.110294[/C][/ROW]
[ROW][C]111[/C][C]4[/C][C]4.88971[/C][C]-0.889706[/C][/ROW]
[ROW][C]112[/C][C]4[/C][C]4.88971[/C][C]-0.889706[/C][/ROW]
[ROW][C]113[/C][C]6[/C][C]4.19718[/C][C]1.80282[/C][/ROW]
[ROW][C]114[/C][C]3[/C][C]4.19718[/C][C]-1.19718[/C][/ROW]
[ROW][C]115[/C][C]4[/C][C]4.19718[/C][C]-0.197183[/C][/ROW]
[ROW][C]116[/C][C]3[/C][C]4.19718[/C][C]-1.19718[/C][/ROW]
[ROW][C]117[/C][C]10[/C][C]4.88971[/C][C]5.11029[/C][/ROW]
[ROW][C]118[/C][C]4[/C][C]4.88971[/C][C]-0.889706[/C][/ROW]
[ROW][C]119[/C][C]8[/C][C]4.19718[/C][C]3.80282[/C][/ROW]
[ROW][C]120[/C][C]3[/C][C]4.19718[/C][C]-1.19718[/C][/ROW]
[ROW][C]121[/C][C]5[/C][C]4.19718[/C][C]0.802817[/C][/ROW]
[ROW][C]122[/C][C]4[/C][C]4.19718[/C][C]-0.197183[/C][/ROW]
[ROW][C]123[/C][C]3[/C][C]4.19718[/C][C]-1.19718[/C][/ROW]
[ROW][C]124[/C][C]5[/C][C]4.19718[/C][C]0.802817[/C][/ROW]
[ROW][C]125[/C][C]3[/C][C]4.19718[/C][C]-1.19718[/C][/ROW]
[ROW][C]126[/C][C]3[/C][C]4.19718[/C][C]-1.19718[/C][/ROW]
[ROW][C]127[/C][C]4[/C][C]4.19718[/C][C]-0.197183[/C][/ROW]
[ROW][C]128[/C][C]3[/C][C]4.19718[/C][C]-1.19718[/C][/ROW]
[ROW][C]129[/C][C]6[/C][C]4.88971[/C][C]1.11029[/C][/ROW]
[ROW][C]130[/C][C]6[/C][C]4.19718[/C][C]1.80282[/C][/ROW]
[ROW][C]131[/C][C]4[/C][C]4.19718[/C][C]-0.197183[/C][/ROW]
[ROW][C]132[/C][C]4[/C][C]4.19718[/C][C]-0.197183[/C][/ROW]
[ROW][C]133[/C][C]4[/C][C]4.19718[/C][C]-0.197183[/C][/ROW]
[ROW][C]134[/C][C]3[/C][C]4.19718[/C][C]-1.19718[/C][/ROW]
[ROW][C]135[/C][C]2[/C][C]4.19718[/C][C]-2.19718[/C][/ROW]
[ROW][C]136[/C][C]5[/C][C]4.19718[/C][C]0.802817[/C][/ROW]
[ROW][C]137[/C][C]4[/C][C]4.19718[/C][C]-0.197183[/C][/ROW]
[ROW][C]138[/C][C]4[/C][C]4.19718[/C][C]-0.197183[/C][/ROW]
[ROW][C]139[/C][C]4[/C][C]4.19718[/C][C]-0.197183[/C][/ROW]
[ROW][C]140[/C][C]3[/C][C]4.19718[/C][C]-1.19718[/C][/ROW]
[ROW][C]141[/C][C]4[/C][C]4.88971[/C][C]-0.889706[/C][/ROW]
[ROW][C]142[/C][C]2[/C][C]4.19718[/C][C]-2.19718[/C][/ROW]
[ROW][C]143[/C][C]0[/C][C]4.19718[/C][C]-4.19718[/C][/ROW]
[ROW][C]144[/C][C]4[/C][C]4.19718[/C][C]-0.197183[/C][/ROW]
[ROW][C]145[/C][C]6[/C][C]4.19718[/C][C]1.80282[/C][/ROW]
[ROW][C]146[/C][C]4[/C][C]4.19718[/C][C]-0.197183[/C][/ROW]
[ROW][C]147[/C][C]4[/C][C]4.19718[/C][C]-0.197183[/C][/ROW]
[ROW][C]148[/C][C]4[/C][C]4.19718[/C][C]-0.197183[/C][/ROW]
[ROW][C]149[/C][C]2[/C][C]4.19718[/C][C]-2.19718[/C][/ROW]
[ROW][C]150[/C][C]4[/C][C]4.19718[/C][C]-0.197183[/C][/ROW]
[ROW][C]151[/C][C]3[/C][C]4.19718[/C][C]-1.19718[/C][/ROW]
[ROW][C]152[/C][C]6[/C][C]4.19718[/C][C]1.80282[/C][/ROW]
[ROW][C]153[/C][C]6[/C][C]4.19718[/C][C]1.80282[/C][/ROW]
[ROW][C]154[/C][C]4[/C][C]4.19718[/C][C]-0.197183[/C][/ROW]
[ROW][C]155[/C][C]5[/C][C]4.88971[/C][C]0.110294[/C][/ROW]
[ROW][C]156[/C][C]4[/C][C]4.88971[/C][C]-0.889706[/C][/ROW]
[ROW][C]157[/C][C]6[/C][C]4.19718[/C][C]1.80282[/C][/ROW]
[ROW][C]158[/C][C]6[/C][C]4.19718[/C][C]1.80282[/C][/ROW]
[ROW][C]159[/C][C]9[/C][C]4.88971[/C][C]4.11029[/C][/ROW]
[ROW][C]160[/C][C]4[/C][C]4.88971[/C][C]-0.889706[/C][/ROW]
[ROW][C]161[/C][C]8[/C][C]4.88971[/C][C]3.11029[/C][/ROW]
[ROW][C]162[/C][C]5[/C][C]4.88971[/C][C]0.110294[/C][/ROW]
[ROW][C]163[/C][C]4[/C][C]4.19718[/C][C]-0.197183[/C][/ROW]
[ROW][C]164[/C][C]4[/C][C]4.19718[/C][C]-0.197183[/C][/ROW]
[ROW][C]165[/C][C]7[/C][C]4.88971[/C][C]2.11029[/C][/ROW]
[ROW][C]166[/C][C]4[/C][C]4.88971[/C][C]-0.889706[/C][/ROW]
[ROW][C]167[/C][C]8[/C][C]4.88971[/C][C]3.11029[/C][/ROW]
[ROW][C]168[/C][C]4[/C][C]4.88971[/C][C]-0.889706[/C][/ROW]
[ROW][C]169[/C][C]3[/C][C]4.88971[/C][C]-1.88971[/C][/ROW]
[ROW][C]170[/C][C]5[/C][C]4.88971[/C][C]0.110294[/C][/ROW]
[ROW][C]171[/C][C]8[/C][C]4.88971[/C][C]3.11029[/C][/ROW]
[ROW][C]172[/C][C]4[/C][C]4.88971[/C][C]-0.889706[/C][/ROW]
[ROW][C]173[/C][C]10[/C][C]4.88971[/C][C]5.11029[/C][/ROW]
[ROW][C]174[/C][C]5[/C][C]4.19718[/C][C]0.802817[/C][/ROW]
[ROW][C]175[/C][C]5[/C][C]4.19718[/C][C]0.802817[/C][/ROW]
[ROW][C]176[/C][C]3[/C][C]4.88971[/C][C]-1.88971[/C][/ROW]
[ROW][C]177[/C][C]3[/C][C]4.19718[/C][C]-1.19718[/C][/ROW]
[ROW][C]178[/C][C]3[/C][C]4.19718[/C][C]-1.19718[/C][/ROW]
[ROW][C]179[/C][C]4[/C][C]4.88971[/C][C]-0.889706[/C][/ROW]
[ROW][C]180[/C][C]5[/C][C]4.19718[/C][C]0.802817[/C][/ROW]
[ROW][C]181[/C][C]5[/C][C]4.88971[/C][C]0.110294[/C][/ROW]
[ROW][C]182[/C][C]4[/C][C]4.88971[/C][C]-0.889706[/C][/ROW]
[ROW][C]183[/C][C]7[/C][C]4.19718[/C][C]2.80282[/C][/ROW]
[ROW][C]184[/C][C]5[/C][C]4.88971[/C][C]0.110294[/C][/ROW]
[ROW][C]185[/C][C]4[/C][C]4.88971[/C][C]-0.889706[/C][/ROW]
[ROW][C]186[/C][C]7[/C][C]4.88971[/C][C]2.11029[/C][/ROW]
[ROW][C]187[/C][C]7[/C][C]4.88971[/C][C]2.11029[/C][/ROW]
[ROW][C]188[/C][C]7[/C][C]4.88971[/C][C]2.11029[/C][/ROW]
[ROW][C]189[/C][C]7[/C][C]4.88971[/C][C]2.11029[/C][/ROW]
[ROW][C]190[/C][C]7[/C][C]4.88971[/C][C]2.11029[/C][/ROW]
[ROW][C]191[/C][C]7[/C][C]4.88971[/C][C]2.11029[/C][/ROW]
[ROW][C]192[/C][C]1[/C][C]4.88971[/C][C]-3.88971[/C][/ROW]
[ROW][C]193[/C][C]2[/C][C]4.88971[/C][C]-2.88971[/C][/ROW]
[ROW][C]194[/C][C]3[/C][C]4.88971[/C][C]-1.88971[/C][/ROW]
[ROW][C]195[/C][C]6[/C][C]4.88971[/C][C]1.11029[/C][/ROW]
[ROW][C]196[/C][C]8[/C][C]4.88971[/C][C]3.11029[/C][/ROW]
[ROW][C]197[/C][C]8[/C][C]4.19718[/C][C]3.80282[/C][/ROW]
[ROW][C]198[/C][C]0[/C][C]4.88971[/C][C]-4.88971[/C][/ROW]
[ROW][C]199[/C][C]3[/C][C]4.88971[/C][C]-1.88971[/C][/ROW]
[ROW][C]200[/C][C]6[/C][C]4.88971[/C][C]1.11029[/C][/ROW]
[ROW][C]201[/C][C]5[/C][C]4.19718[/C][C]0.802817[/C][/ROW]
[ROW][C]202[/C][C]7[/C][C]4.88971[/C][C]2.11029[/C][/ROW]
[ROW][C]203[/C][C]3[/C][C]4.19718[/C][C]-1.19718[/C][/ROW]
[ROW][C]204[/C][C]3[/C][C]4.88971[/C][C]-1.88971[/C][/ROW]
[ROW][C]205[/C][C]4[/C][C]4.19718[/C][C]-0.197183[/C][/ROW]
[ROW][C]206[/C][C]4[/C][C]4.88971[/C][C]-0.889706[/C][/ROW]
[ROW][C]207[/C][C]1[/C][C]4.19718[/C][C]-3.19718[/C][/ROW]
[ROW][C]208[/C][C]5[/C][C]4.88971[/C][C]0.110294[/C][/ROW]
[ROW][C]209[/C][C]0[/C][C]4.88971[/C][C]-4.88971[/C][/ROW]
[ROW][C]210[/C][C]4[/C][C]4.88971[/C][C]-0.889706[/C][/ROW]
[ROW][C]211[/C][C]6[/C][C]4.88971[/C][C]1.11029[/C][/ROW]
[ROW][C]212[/C][C]4[/C][C]4.19718[/C][C]-0.197183[/C][/ROW]
[ROW][C]213[/C][C]1[/C][C]4.19718[/C][C]-3.19718[/C][/ROW]
[ROW][C]214[/C][C]3[/C][C]4.88971[/C][C]-1.88971[/C][/ROW]
[ROW][C]215[/C][C]7[/C][C]4.19718[/C][C]2.80282[/C][/ROW]
[ROW][C]216[/C][C]3[/C][C]4.19718[/C][C]-1.19718[/C][/ROW]
[ROW][C]217[/C][C]5[/C][C]4.88971[/C][C]0.110294[/C][/ROW]
[ROW][C]218[/C][C]3[/C][C]4.19718[/C][C]-1.19718[/C][/ROW]
[ROW][C]219[/C][C]6[/C][C]4.88971[/C][C]1.11029[/C][/ROW]
[ROW][C]220[/C][C]9[/C][C]4.88971[/C][C]4.11029[/C][/ROW]
[ROW][C]221[/C][C]4[/C][C]4.19718[/C][C]-0.197183[/C][/ROW]
[ROW][C]222[/C][C]3[/C][C]4.88971[/C][C]-1.88971[/C][/ROW]
[ROW][C]223[/C][C]9[/C][C]4.19718[/C][C]4.80282[/C][/ROW]
[ROW][C]224[/C][C]5[/C][C]4.19718[/C][C]0.802817[/C][/ROW]
[ROW][C]225[/C][C]3[/C][C]4.19718[/C][C]-1.19718[/C][/ROW]
[ROW][C]226[/C][C]6[/C][C]4.88971[/C][C]1.11029[/C][/ROW]
[ROW][C]227[/C][C]2[/C][C]4.19718[/C][C]-2.19718[/C][/ROW]
[ROW][C]228[/C][C]4[/C][C]4.88971[/C][C]-0.889706[/C][/ROW]
[ROW][C]229[/C][C]5[/C][C]4.19718[/C][C]0.802817[/C][/ROW]
[ROW][C]230[/C][C]4[/C][C]4.19718[/C][C]-0.197183[/C][/ROW]
[ROW][C]231[/C][C]0[/C][C]4.19718[/C][C]-4.19718[/C][/ROW]
[ROW][C]232[/C][C]2[/C][C]4.19718[/C][C]-2.19718[/C][/ROW]
[ROW][C]233[/C][C]5[/C][C]4.88971[/C][C]0.110294[/C][/ROW]
[ROW][C]234[/C][C]3[/C][C]4.19718[/C][C]-1.19718[/C][/ROW]
[ROW][C]235[/C][C]0[/C][C]4.19718[/C][C]-4.19718[/C][/ROW]
[ROW][C]236[/C][C]5[/C][C]4.19718[/C][C]0.802817[/C][/ROW]
[ROW][C]237[/C][C]6[/C][C]4.88971[/C][C]1.11029[/C][/ROW]
[ROW][C]238[/C][C]3[/C][C]4.19718[/C][C]-1.19718[/C][/ROW]
[ROW][C]239[/C][C]0[/C][C]4.19718[/C][C]-4.19718[/C][/ROW]
[ROW][C]240[/C][C]3[/C][C]4.88971[/C][C]-1.88971[/C][/ROW]
[ROW][C]241[/C][C]5[/C][C]4.19718[/C][C]0.802817[/C][/ROW]
[ROW][C]242[/C][C]4[/C][C]4.88971[/C][C]-0.889706[/C][/ROW]
[ROW][C]243[/C][C]5[/C][C]4.88971[/C][C]0.110294[/C][/ROW]
[ROW][C]244[/C][C]7[/C][C]4.88971[/C][C]2.11029[/C][/ROW]
[ROW][C]245[/C][C]8[/C][C]4.88971[/C][C]3.11029[/C][/ROW]
[ROW][C]246[/C][C]6[/C][C]4.88971[/C][C]1.11029[/C][/ROW]
[ROW][C]247[/C][C]4[/C][C]4.19718[/C][C]-0.197183[/C][/ROW]
[ROW][C]248[/C][C]5[/C][C]4.19718[/C][C]0.802817[/C][/ROW]
[ROW][C]249[/C][C]5[/C][C]4.19718[/C][C]0.802817[/C][/ROW]
[ROW][C]250[/C][C]3[/C][C]4.19718[/C][C]-1.19718[/C][/ROW]
[ROW][C]251[/C][C]6[/C][C]4.19718[/C][C]1.80282[/C][/ROW]
[ROW][C]252[/C][C]3[/C][C]4.19718[/C][C]-1.19718[/C][/ROW]
[ROW][C]253[/C][C]6[/C][C]4.88971[/C][C]1.11029[/C][/ROW]
[ROW][C]254[/C][C]3[/C][C]4.88971[/C][C]-1.88971[/C][/ROW]
[ROW][C]255[/C][C]7[/C][C]4.19718[/C][C]2.80282[/C][/ROW]
[ROW][C]256[/C][C]7[/C][C]4.88971[/C][C]2.11029[/C][/ROW]
[ROW][C]257[/C][C]6[/C][C]4.88971[/C][C]1.11029[/C][/ROW]
[ROW][C]258[/C][C]5[/C][C]4.19718[/C][C]0.802817[/C][/ROW]
[ROW][C]259[/C][C]5[/C][C]4.88971[/C][C]0.110294[/C][/ROW]
[ROW][C]260[/C][C]4[/C][C]4.88971[/C][C]-0.889706[/C][/ROW]
[ROW][C]261[/C][C]4[/C][C]4.88971[/C][C]-0.889706[/C][/ROW]
[ROW][C]262[/C][C]7[/C][C]4.88971[/C][C]2.11029[/C][/ROW]
[ROW][C]263[/C][C]2[/C][C]4.88971[/C][C]-2.88971[/C][/ROW]
[ROW][C]264[/C][C]5[/C][C]4.88971[/C][C]0.110294[/C][/ROW]
[ROW][C]265[/C][C]4[/C][C]4.88971[/C][C]-0.889706[/C][/ROW]
[ROW][C]266[/C][C]2[/C][C]4.88971[/C][C]-2.88971[/C][/ROW]
[ROW][C]267[/C][C]5[/C][C]4.88971[/C][C]0.110294[/C][/ROW]
[ROW][C]268[/C][C]4[/C][C]4.88971[/C][C]-0.889706[/C][/ROW]
[ROW][C]269[/C][C]7[/C][C]4.88971[/C][C]2.11029[/C][/ROW]
[ROW][C]270[/C][C]6[/C][C]4.88971[/C][C]1.11029[/C][/ROW]
[ROW][C]271[/C][C]4[/C][C]4.88971[/C][C]-0.889706[/C][/ROW]
[ROW][C]272[/C][C]5[/C][C]4.88971[/C][C]0.110294[/C][/ROW]
[ROW][C]273[/C][C]0[/C][C]4.88971[/C][C]-4.88971[/C][/ROW]
[ROW][C]274[/C][C]7[/C][C]4.88971[/C][C]2.11029[/C][/ROW]
[ROW][C]275[/C][C]4[/C][C]4.88971[/C][C]-0.889706[/C][/ROW]
[ROW][C]276[/C][C]5[/C][C]4.19718[/C][C]0.802817[/C][/ROW]
[ROW][C]277[/C][C]6[/C][C]4.88971[/C][C]1.11029[/C][/ROW]
[ROW][C]278[/C][C]8[/C][C]4.88971[/C][C]3.11029[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=264727&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=264727&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
154.197180.802817
254.197180.802817
344.19718-0.197183
454.197180.802817
574.197182.80282
634.19718-1.19718
744.19718-0.197183
844.19718-0.197183
974.197182.80282
1064.197181.80282
1164.197181.80282
1224.19718-2.19718
1344.19718-0.197183
1444.19718-0.197183
1554.197180.802817
1634.88971-1.88971
1744.19718-0.197183
1874.197182.80282
1954.889710.110294
2024.19718-2.19718
2134.19718-1.19718
2264.197181.80282
2364.197181.80282
2424.19718-2.19718
2574.197182.80282
2624.19718-2.19718
27104.889715.11029
2844.88971-0.889706
2944.19718-0.197183
3024.19718-2.19718
3144.19718-0.197183
3244.19718-0.197183
3374.197182.80282
3424.19718-2.19718
3564.197181.80282
3634.19718-1.19718
3734.19718-1.19718
3824.88971-2.88971
3954.197180.802817
4074.197182.80282
4164.197181.80282
4244.19718-0.197183
4364.197181.80282
4444.19718-0.197183
4534.88971-1.88971
4654.197180.802817
4724.19718-2.19718
4834.88971-1.88971
4954.197180.802817
5074.889712.11029
5144.88971-0.889706
5234.88971-1.88971
5324.19718-2.19718
5454.889710.110294
5544.19718-0.197183
5664.197181.80282
5744.88971-0.889706
5844.19718-0.197183
5924.88971-2.88971
6094.889714.11029
6184.197183.80282
6284.197183.80282
6334.19718-1.19718
6424.19718-2.19718
6544.19718-0.197183
6624.88971-2.88971
6724.19718-2.19718
6814.19718-3.19718
6944.19718-0.197183
7054.889710.110294
7184.197183.80282
7244.19718-0.197183
7364.889711.11029
7454.889710.110294
7534.19718-1.19718
7634.19718-1.19718
7764.889711.11029
7844.19718-0.197183
7934.88971-1.88971
8084.197183.80282
8164.889711.11029
8234.88971-1.88971
8354.889710.110294
8444.88971-0.889706
8534.88971-1.88971
8674.889712.11029
8724.88971-2.88971
8844.88971-0.889706
8964.889711.11029
9064.889711.11029
9164.889711.11029
9244.88971-0.889706
9364.889711.11029
9454.889710.110294
9554.889710.110294
9664.889711.11029
9784.889713.11029
9854.889710.110294
9964.889711.11029
10044.88971-0.889706
10134.88971-1.88971
10234.88971-1.88971
10324.88971-2.88971
10444.88971-0.889706
10554.889710.110294
10634.88971-1.88971
10744.88971-0.889706
10854.889710.110294
10934.88971-1.88971
11054.889710.110294
11144.88971-0.889706
11244.88971-0.889706
11364.197181.80282
11434.19718-1.19718
11544.19718-0.197183
11634.19718-1.19718
117104.889715.11029
11844.88971-0.889706
11984.197183.80282
12034.19718-1.19718
12154.197180.802817
12244.19718-0.197183
12334.19718-1.19718
12454.197180.802817
12534.19718-1.19718
12634.19718-1.19718
12744.19718-0.197183
12834.19718-1.19718
12964.889711.11029
13064.197181.80282
13144.19718-0.197183
13244.19718-0.197183
13344.19718-0.197183
13434.19718-1.19718
13524.19718-2.19718
13654.197180.802817
13744.19718-0.197183
13844.19718-0.197183
13944.19718-0.197183
14034.19718-1.19718
14144.88971-0.889706
14224.19718-2.19718
14304.19718-4.19718
14444.19718-0.197183
14564.197181.80282
14644.19718-0.197183
14744.19718-0.197183
14844.19718-0.197183
14924.19718-2.19718
15044.19718-0.197183
15134.19718-1.19718
15264.197181.80282
15364.197181.80282
15444.19718-0.197183
15554.889710.110294
15644.88971-0.889706
15764.197181.80282
15864.197181.80282
15994.889714.11029
16044.88971-0.889706
16184.889713.11029
16254.889710.110294
16344.19718-0.197183
16444.19718-0.197183
16574.889712.11029
16644.88971-0.889706
16784.889713.11029
16844.88971-0.889706
16934.88971-1.88971
17054.889710.110294
17184.889713.11029
17244.88971-0.889706
173104.889715.11029
17454.197180.802817
17554.197180.802817
17634.88971-1.88971
17734.19718-1.19718
17834.19718-1.19718
17944.88971-0.889706
18054.197180.802817
18154.889710.110294
18244.88971-0.889706
18374.197182.80282
18454.889710.110294
18544.88971-0.889706
18674.889712.11029
18774.889712.11029
18874.889712.11029
18974.889712.11029
19074.889712.11029
19174.889712.11029
19214.88971-3.88971
19324.88971-2.88971
19434.88971-1.88971
19564.889711.11029
19684.889713.11029
19784.197183.80282
19804.88971-4.88971
19934.88971-1.88971
20064.889711.11029
20154.197180.802817
20274.889712.11029
20334.19718-1.19718
20434.88971-1.88971
20544.19718-0.197183
20644.88971-0.889706
20714.19718-3.19718
20854.889710.110294
20904.88971-4.88971
21044.88971-0.889706
21164.889711.11029
21244.19718-0.197183
21314.19718-3.19718
21434.88971-1.88971
21574.197182.80282
21634.19718-1.19718
21754.889710.110294
21834.19718-1.19718
21964.889711.11029
22094.889714.11029
22144.19718-0.197183
22234.88971-1.88971
22394.197184.80282
22454.197180.802817
22534.19718-1.19718
22664.889711.11029
22724.19718-2.19718
22844.88971-0.889706
22954.197180.802817
23044.19718-0.197183
23104.19718-4.19718
23224.19718-2.19718
23354.889710.110294
23434.19718-1.19718
23504.19718-4.19718
23654.197180.802817
23764.889711.11029
23834.19718-1.19718
23904.19718-4.19718
24034.88971-1.88971
24154.197180.802817
24244.88971-0.889706
24354.889710.110294
24474.889712.11029
24584.889713.11029
24664.889711.11029
24744.19718-0.197183
24854.197180.802817
24954.197180.802817
25034.19718-1.19718
25164.197181.80282
25234.19718-1.19718
25364.889711.11029
25434.88971-1.88971
25574.197182.80282
25674.889712.11029
25764.889711.11029
25854.197180.802817
25954.889710.110294
26044.88971-0.889706
26144.88971-0.889706
26274.889712.11029
26324.88971-2.88971
26454.889710.110294
26544.88971-0.889706
26624.88971-2.88971
26754.889710.110294
26844.88971-0.889706
26974.889712.11029
27064.889711.11029
27144.88971-0.889706
27254.889710.110294
27304.88971-4.88971
27474.889712.11029
27544.88971-0.889706
27654.197180.802817
27764.889711.11029
27884.889713.11029







Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
50.2740530.5481050.725947
60.3393620.6787230.660638
70.2337820.4675640.766218
80.1526780.3053550.847322
90.2274040.4548070.772596
100.1776970.3553940.822303
110.1342110.2684230.865789
120.2751940.5503890.724806
130.214520.4290390.78548
140.1628340.3256690.837166
150.1146440.2292870.885356
160.07854980.15710.92145
170.05593730.1118750.944063
180.08044520.160890.919555
190.07189550.1437910.928105
200.1232820.2465640.876718
210.1181910.2363820.881809
220.1067850.213570.893215
230.09485680.1897140.905143
240.1374340.2748680.862566
250.1697640.3395280.830236
260.2187880.4375770.781212
270.5540110.8919770.445989
280.5396140.9207730.460386
290.4860370.9720740.513963
300.5248570.9502860.475143
310.4712350.942470.528765
320.4185340.8370670.581466
330.4638730.9277470.536127
340.4982970.9965950.501703
350.4816910.9633820.518309
360.4585770.9171550.541423
370.4343910.8687810.565609
380.5184630.9630740.481537
390.4734870.9469750.526513
400.515980.968040.48402
410.4993290.9986590.500671
420.4535590.9071190.546441
430.4371040.8742070.562896
440.393360.7867190.60664
450.3840070.7680140.615993
460.343240.6864790.65676
470.3743830.7487670.625617
480.3576890.7153770.642311
490.3195230.6390470.680477
500.3503320.7006630.649668
510.313970.627940.68603
520.3017020.6034040.698298
530.3277280.6554560.672272
540.2915280.5830560.708472
550.2563510.5127030.743649
560.247750.49550.75225
570.2173060.4346130.782694
580.1881790.3763580.811821
590.2106040.4212070.789396
600.3839570.7679140.616043
610.4913840.9827690.508616
620.5933250.813350.406675
630.5769630.8460730.423037
640.6013220.7973570.398678
650.5637330.8725350.436267
660.5971050.805790.402895
670.6181460.7637080.381854
680.6919190.6161630.308081
690.6572620.6854750.342738
700.6227320.7545360.377268
710.7166630.5666740.283337
720.6840330.6319330.315967
730.6676290.6647420.332371
740.6331570.7336850.366843
750.614210.771580.38579
760.5946170.8107660.405383
770.5748690.8502610.425131
780.538190.9236210.46181
790.5300710.9398570.469929
800.6308520.7382960.369148
810.6119010.7761970.388099
820.6041890.7916230.395811
830.5690070.8619860.430993
840.5369660.9260670.463034
850.5281140.9437720.471886
860.5469290.9061420.453071
870.5821670.8356650.417833
880.5504950.899010.449505
890.5327730.9344540.467227
900.5140370.9719260.485963
910.4944360.9888710.505564
920.4635730.9271460.536427
930.4437590.8875170.556241
940.4089110.8178230.591089
950.3747870.7495750.625213
960.3551990.7103970.644801
970.4184020.8368050.581598
980.3838560.7677110.616144
990.362410.724820.63759
1000.3358350.671670.664165
1010.3337080.6674160.666292
1020.3309860.6619720.669014
1030.3695530.7391050.630447
1040.3421650.684330.657835
1050.3108690.6217390.689131
1060.3071930.6143860.692807
1070.281950.5639010.71805
1080.2536750.507350.746325
1090.2503190.5006380.749681
1100.2239860.4479720.776014
1110.2029130.4058270.797087
1120.1831220.3662440.816878
1130.1793590.3587180.820641
1140.1677990.3355980.832201
1150.1474620.2949230.852538
1160.137080.274160.86292
1170.3036230.6072450.696377
1180.2795030.5590060.720497
1190.3698590.7397180.630141
1200.3522530.7045060.647747
1210.3259610.6519220.674039
1220.2964340.5928680.703566
1230.280130.560260.71987
1240.2566410.5132810.743359
1250.241340.4826790.75866
1260.2263780.4527570.773622
1270.2018950.4037910.798105
1280.1882480.3764970.811752
1290.1745270.3490550.825473
1300.1722190.3444380.827781
1310.1516640.3033290.848336
1320.1328050.265610.867195
1330.1156220.2312440.884378
1340.1061230.2122470.893877
1350.1118230.2236450.888177
1360.09909350.1981870.900907
1370.08518710.1703740.914813
1380.07279440.1455890.927206
1390.06182890.1236580.938171
1400.05578570.1115710.944214
1410.04849140.09698280.951509
1420.05142840.1028570.948572
1430.09659190.1931840.903408
1440.08286860.1657370.917131
1450.08167480.163350.918325
1460.06961150.1392230.930389
1470.05896630.1179330.941034
1480.049640.09927990.95036
1490.05245270.1049050.947547
1500.04396280.08792560.956037
1510.03929860.07859730.960701
1520.03859230.07718460.961408
1530.03796650.07593310.962033
1540.03145470.06290940.968545
1550.02592840.05185690.974072
1560.02209160.04418310.977908
1570.02175050.0435010.97825
1580.021480.04295990.97852
1590.04388720.08777440.956113
1600.03793860.07587710.962061
1610.0512920.1025840.948708
1620.04287950.08575890.957121
1630.03563730.07127450.964363
1640.02942440.05884890.970576
1650.03066570.06133130.969334
1660.02623890.05247790.973761
1670.03594610.07189220.964054
1680.03087580.06175170.969124
1690.03065250.06130490.969348
1700.02512050.05024090.97488
1710.03440010.06880020.9656
1720.02949160.05898310.970508
1730.08615970.1723190.91384
1740.0758440.1516880.924156
1750.06656420.1331280.933436
1760.06601150.1320230.933988
1770.05874240.1174850.941258
1780.05213880.1042780.947861
1790.04511020.09022040.95489
1800.03890390.07780790.961096
1810.03201530.06403050.967985
1820.02730190.05460380.972698
1830.03519830.07039660.964802
1840.02882720.05765440.971173
1850.02449690.04899370.975503
1860.02535250.05070510.974647
1870.02628910.05257820.973711
1880.02732780.05465550.972672
1890.02849340.05698690.971507
1900.02981540.05963070.970185
1910.03132850.06265690.968672
1920.05461160.1092230.945388
1930.06710640.1342130.932894
1940.06611760.1322350.933882
1950.05858280.1171660.941417
1960.07794820.1558960.922052
1970.1322340.2644690.867766
1980.2677470.5354940.732253
1990.2665260.5330520.733474
2000.2459910.4919820.754009
2010.2264520.4529040.773548
2020.2324160.4648310.767584
2030.2107830.4215670.789217
2040.2089650.4179290.791035
2050.182870.3657410.81713
2060.1633190.3266370.836681
2070.1959410.3918830.804059
2080.1701260.3402530.829874
2090.3391970.6783930.660803
2100.3127790.6255580.687221
2110.2877130.5754250.712287
2120.2549340.5098670.745066
2130.3008250.601650.699175
2140.3031580.6063170.696842
2150.3576890.7153780.642311
2160.3290520.6581040.670948
2170.2927410.5854830.707259
2180.2665590.5331190.733441
2190.2418460.4836920.758154
2200.3625410.7250830.637459
2210.3238560.6477130.676144
2220.3242150.6484310.675785
2230.5854550.8290910.414545
2240.5625880.8748240.437412
2250.5260.9479990.474
2260.4949210.9898410.505079
2270.4888590.9777170.511141
2280.4554360.9108720.544564
2290.4301220.8602430.569878
2300.3876060.7752120.612394
2310.5205660.9588670.479434
2320.5218520.9562960.478148
2330.4749170.9498340.525083
2340.4408820.8817630.559118
2350.6191060.7617880.380894
2360.5789520.8420970.421048
2370.5447580.9104830.455242
2380.5179280.9641440.482072
2390.743030.513940.25697
2400.7493920.5012160.250608
2410.7074920.5850150.292508
2420.6752930.6494140.324707
2430.6260260.7479490.373974
2440.6318240.7363510.368176
2450.7162410.5675180.283759
2460.6861470.6277060.313853
2470.6437210.7125580.356279
2480.590360.819280.40964
2490.5346920.9306150.465308
2500.5374970.9250050.462503
2510.4948560.9897120.505144
2520.5172730.9654540.482727
2530.4795720.9591450.520428
2540.4735750.947150.526425
2550.4630080.9260170.536992
2560.4824160.9648320.517584
2570.4445550.889110.555445
2580.3786150.7572290.621385
2590.3157480.6314960.684252
2600.2624560.5249130.737544
2610.2137270.4274540.786273
2620.2297240.4594480.770276
2630.2788320.5576650.721168
2640.2158360.4316720.784164
2650.1677650.335530.832235
2660.2297810.4595620.770219
2670.166560.333120.83344
2680.1276920.2553850.872308
2690.1154720.2309450.884528
2700.08031930.1606390.919681
2710.05035530.1007110.949645
2720.02576030.05152060.97424
2730.4924270.9848530.507573

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
5 & 0.274053 & 0.548105 & 0.725947 \tabularnewline
6 & 0.339362 & 0.678723 & 0.660638 \tabularnewline
7 & 0.233782 & 0.467564 & 0.766218 \tabularnewline
8 & 0.152678 & 0.305355 & 0.847322 \tabularnewline
9 & 0.227404 & 0.454807 & 0.772596 \tabularnewline
10 & 0.177697 & 0.355394 & 0.822303 \tabularnewline
11 & 0.134211 & 0.268423 & 0.865789 \tabularnewline
12 & 0.275194 & 0.550389 & 0.724806 \tabularnewline
13 & 0.21452 & 0.429039 & 0.78548 \tabularnewline
14 & 0.162834 & 0.325669 & 0.837166 \tabularnewline
15 & 0.114644 & 0.229287 & 0.885356 \tabularnewline
16 & 0.0785498 & 0.1571 & 0.92145 \tabularnewline
17 & 0.0559373 & 0.111875 & 0.944063 \tabularnewline
18 & 0.0804452 & 0.16089 & 0.919555 \tabularnewline
19 & 0.0718955 & 0.143791 & 0.928105 \tabularnewline
20 & 0.123282 & 0.246564 & 0.876718 \tabularnewline
21 & 0.118191 & 0.236382 & 0.881809 \tabularnewline
22 & 0.106785 & 0.21357 & 0.893215 \tabularnewline
23 & 0.0948568 & 0.189714 & 0.905143 \tabularnewline
24 & 0.137434 & 0.274868 & 0.862566 \tabularnewline
25 & 0.169764 & 0.339528 & 0.830236 \tabularnewline
26 & 0.218788 & 0.437577 & 0.781212 \tabularnewline
27 & 0.554011 & 0.891977 & 0.445989 \tabularnewline
28 & 0.539614 & 0.920773 & 0.460386 \tabularnewline
29 & 0.486037 & 0.972074 & 0.513963 \tabularnewline
30 & 0.524857 & 0.950286 & 0.475143 \tabularnewline
31 & 0.471235 & 0.94247 & 0.528765 \tabularnewline
32 & 0.418534 & 0.837067 & 0.581466 \tabularnewline
33 & 0.463873 & 0.927747 & 0.536127 \tabularnewline
34 & 0.498297 & 0.996595 & 0.501703 \tabularnewline
35 & 0.481691 & 0.963382 & 0.518309 \tabularnewline
36 & 0.458577 & 0.917155 & 0.541423 \tabularnewline
37 & 0.434391 & 0.868781 & 0.565609 \tabularnewline
38 & 0.518463 & 0.963074 & 0.481537 \tabularnewline
39 & 0.473487 & 0.946975 & 0.526513 \tabularnewline
40 & 0.51598 & 0.96804 & 0.48402 \tabularnewline
41 & 0.499329 & 0.998659 & 0.500671 \tabularnewline
42 & 0.453559 & 0.907119 & 0.546441 \tabularnewline
43 & 0.437104 & 0.874207 & 0.562896 \tabularnewline
44 & 0.39336 & 0.786719 & 0.60664 \tabularnewline
45 & 0.384007 & 0.768014 & 0.615993 \tabularnewline
46 & 0.34324 & 0.686479 & 0.65676 \tabularnewline
47 & 0.374383 & 0.748767 & 0.625617 \tabularnewline
48 & 0.357689 & 0.715377 & 0.642311 \tabularnewline
49 & 0.319523 & 0.639047 & 0.680477 \tabularnewline
50 & 0.350332 & 0.700663 & 0.649668 \tabularnewline
51 & 0.31397 & 0.62794 & 0.68603 \tabularnewline
52 & 0.301702 & 0.603404 & 0.698298 \tabularnewline
53 & 0.327728 & 0.655456 & 0.672272 \tabularnewline
54 & 0.291528 & 0.583056 & 0.708472 \tabularnewline
55 & 0.256351 & 0.512703 & 0.743649 \tabularnewline
56 & 0.24775 & 0.4955 & 0.75225 \tabularnewline
57 & 0.217306 & 0.434613 & 0.782694 \tabularnewline
58 & 0.188179 & 0.376358 & 0.811821 \tabularnewline
59 & 0.210604 & 0.421207 & 0.789396 \tabularnewline
60 & 0.383957 & 0.767914 & 0.616043 \tabularnewline
61 & 0.491384 & 0.982769 & 0.508616 \tabularnewline
62 & 0.593325 & 0.81335 & 0.406675 \tabularnewline
63 & 0.576963 & 0.846073 & 0.423037 \tabularnewline
64 & 0.601322 & 0.797357 & 0.398678 \tabularnewline
65 & 0.563733 & 0.872535 & 0.436267 \tabularnewline
66 & 0.597105 & 0.80579 & 0.402895 \tabularnewline
67 & 0.618146 & 0.763708 & 0.381854 \tabularnewline
68 & 0.691919 & 0.616163 & 0.308081 \tabularnewline
69 & 0.657262 & 0.685475 & 0.342738 \tabularnewline
70 & 0.622732 & 0.754536 & 0.377268 \tabularnewline
71 & 0.716663 & 0.566674 & 0.283337 \tabularnewline
72 & 0.684033 & 0.631933 & 0.315967 \tabularnewline
73 & 0.667629 & 0.664742 & 0.332371 \tabularnewline
74 & 0.633157 & 0.733685 & 0.366843 \tabularnewline
75 & 0.61421 & 0.77158 & 0.38579 \tabularnewline
76 & 0.594617 & 0.810766 & 0.405383 \tabularnewline
77 & 0.574869 & 0.850261 & 0.425131 \tabularnewline
78 & 0.53819 & 0.923621 & 0.46181 \tabularnewline
79 & 0.530071 & 0.939857 & 0.469929 \tabularnewline
80 & 0.630852 & 0.738296 & 0.369148 \tabularnewline
81 & 0.611901 & 0.776197 & 0.388099 \tabularnewline
82 & 0.604189 & 0.791623 & 0.395811 \tabularnewline
83 & 0.569007 & 0.861986 & 0.430993 \tabularnewline
84 & 0.536966 & 0.926067 & 0.463034 \tabularnewline
85 & 0.528114 & 0.943772 & 0.471886 \tabularnewline
86 & 0.546929 & 0.906142 & 0.453071 \tabularnewline
87 & 0.582167 & 0.835665 & 0.417833 \tabularnewline
88 & 0.550495 & 0.89901 & 0.449505 \tabularnewline
89 & 0.532773 & 0.934454 & 0.467227 \tabularnewline
90 & 0.514037 & 0.971926 & 0.485963 \tabularnewline
91 & 0.494436 & 0.988871 & 0.505564 \tabularnewline
92 & 0.463573 & 0.927146 & 0.536427 \tabularnewline
93 & 0.443759 & 0.887517 & 0.556241 \tabularnewline
94 & 0.408911 & 0.817823 & 0.591089 \tabularnewline
95 & 0.374787 & 0.749575 & 0.625213 \tabularnewline
96 & 0.355199 & 0.710397 & 0.644801 \tabularnewline
97 & 0.418402 & 0.836805 & 0.581598 \tabularnewline
98 & 0.383856 & 0.767711 & 0.616144 \tabularnewline
99 & 0.36241 & 0.72482 & 0.63759 \tabularnewline
100 & 0.335835 & 0.67167 & 0.664165 \tabularnewline
101 & 0.333708 & 0.667416 & 0.666292 \tabularnewline
102 & 0.330986 & 0.661972 & 0.669014 \tabularnewline
103 & 0.369553 & 0.739105 & 0.630447 \tabularnewline
104 & 0.342165 & 0.68433 & 0.657835 \tabularnewline
105 & 0.310869 & 0.621739 & 0.689131 \tabularnewline
106 & 0.307193 & 0.614386 & 0.692807 \tabularnewline
107 & 0.28195 & 0.563901 & 0.71805 \tabularnewline
108 & 0.253675 & 0.50735 & 0.746325 \tabularnewline
109 & 0.250319 & 0.500638 & 0.749681 \tabularnewline
110 & 0.223986 & 0.447972 & 0.776014 \tabularnewline
111 & 0.202913 & 0.405827 & 0.797087 \tabularnewline
112 & 0.183122 & 0.366244 & 0.816878 \tabularnewline
113 & 0.179359 & 0.358718 & 0.820641 \tabularnewline
114 & 0.167799 & 0.335598 & 0.832201 \tabularnewline
115 & 0.147462 & 0.294923 & 0.852538 \tabularnewline
116 & 0.13708 & 0.27416 & 0.86292 \tabularnewline
117 & 0.303623 & 0.607245 & 0.696377 \tabularnewline
118 & 0.279503 & 0.559006 & 0.720497 \tabularnewline
119 & 0.369859 & 0.739718 & 0.630141 \tabularnewline
120 & 0.352253 & 0.704506 & 0.647747 \tabularnewline
121 & 0.325961 & 0.651922 & 0.674039 \tabularnewline
122 & 0.296434 & 0.592868 & 0.703566 \tabularnewline
123 & 0.28013 & 0.56026 & 0.71987 \tabularnewline
124 & 0.256641 & 0.513281 & 0.743359 \tabularnewline
125 & 0.24134 & 0.482679 & 0.75866 \tabularnewline
126 & 0.226378 & 0.452757 & 0.773622 \tabularnewline
127 & 0.201895 & 0.403791 & 0.798105 \tabularnewline
128 & 0.188248 & 0.376497 & 0.811752 \tabularnewline
129 & 0.174527 & 0.349055 & 0.825473 \tabularnewline
130 & 0.172219 & 0.344438 & 0.827781 \tabularnewline
131 & 0.151664 & 0.303329 & 0.848336 \tabularnewline
132 & 0.132805 & 0.26561 & 0.867195 \tabularnewline
133 & 0.115622 & 0.231244 & 0.884378 \tabularnewline
134 & 0.106123 & 0.212247 & 0.893877 \tabularnewline
135 & 0.111823 & 0.223645 & 0.888177 \tabularnewline
136 & 0.0990935 & 0.198187 & 0.900907 \tabularnewline
137 & 0.0851871 & 0.170374 & 0.914813 \tabularnewline
138 & 0.0727944 & 0.145589 & 0.927206 \tabularnewline
139 & 0.0618289 & 0.123658 & 0.938171 \tabularnewline
140 & 0.0557857 & 0.111571 & 0.944214 \tabularnewline
141 & 0.0484914 & 0.0969828 & 0.951509 \tabularnewline
142 & 0.0514284 & 0.102857 & 0.948572 \tabularnewline
143 & 0.0965919 & 0.193184 & 0.903408 \tabularnewline
144 & 0.0828686 & 0.165737 & 0.917131 \tabularnewline
145 & 0.0816748 & 0.16335 & 0.918325 \tabularnewline
146 & 0.0696115 & 0.139223 & 0.930389 \tabularnewline
147 & 0.0589663 & 0.117933 & 0.941034 \tabularnewline
148 & 0.04964 & 0.0992799 & 0.95036 \tabularnewline
149 & 0.0524527 & 0.104905 & 0.947547 \tabularnewline
150 & 0.0439628 & 0.0879256 & 0.956037 \tabularnewline
151 & 0.0392986 & 0.0785973 & 0.960701 \tabularnewline
152 & 0.0385923 & 0.0771846 & 0.961408 \tabularnewline
153 & 0.0379665 & 0.0759331 & 0.962033 \tabularnewline
154 & 0.0314547 & 0.0629094 & 0.968545 \tabularnewline
155 & 0.0259284 & 0.0518569 & 0.974072 \tabularnewline
156 & 0.0220916 & 0.0441831 & 0.977908 \tabularnewline
157 & 0.0217505 & 0.043501 & 0.97825 \tabularnewline
158 & 0.02148 & 0.0429599 & 0.97852 \tabularnewline
159 & 0.0438872 & 0.0877744 & 0.956113 \tabularnewline
160 & 0.0379386 & 0.0758771 & 0.962061 \tabularnewline
161 & 0.051292 & 0.102584 & 0.948708 \tabularnewline
162 & 0.0428795 & 0.0857589 & 0.957121 \tabularnewline
163 & 0.0356373 & 0.0712745 & 0.964363 \tabularnewline
164 & 0.0294244 & 0.0588489 & 0.970576 \tabularnewline
165 & 0.0306657 & 0.0613313 & 0.969334 \tabularnewline
166 & 0.0262389 & 0.0524779 & 0.973761 \tabularnewline
167 & 0.0359461 & 0.0718922 & 0.964054 \tabularnewline
168 & 0.0308758 & 0.0617517 & 0.969124 \tabularnewline
169 & 0.0306525 & 0.0613049 & 0.969348 \tabularnewline
170 & 0.0251205 & 0.0502409 & 0.97488 \tabularnewline
171 & 0.0344001 & 0.0688002 & 0.9656 \tabularnewline
172 & 0.0294916 & 0.0589831 & 0.970508 \tabularnewline
173 & 0.0861597 & 0.172319 & 0.91384 \tabularnewline
174 & 0.075844 & 0.151688 & 0.924156 \tabularnewline
175 & 0.0665642 & 0.133128 & 0.933436 \tabularnewline
176 & 0.0660115 & 0.132023 & 0.933988 \tabularnewline
177 & 0.0587424 & 0.117485 & 0.941258 \tabularnewline
178 & 0.0521388 & 0.104278 & 0.947861 \tabularnewline
179 & 0.0451102 & 0.0902204 & 0.95489 \tabularnewline
180 & 0.0389039 & 0.0778079 & 0.961096 \tabularnewline
181 & 0.0320153 & 0.0640305 & 0.967985 \tabularnewline
182 & 0.0273019 & 0.0546038 & 0.972698 \tabularnewline
183 & 0.0351983 & 0.0703966 & 0.964802 \tabularnewline
184 & 0.0288272 & 0.0576544 & 0.971173 \tabularnewline
185 & 0.0244969 & 0.0489937 & 0.975503 \tabularnewline
186 & 0.0253525 & 0.0507051 & 0.974647 \tabularnewline
187 & 0.0262891 & 0.0525782 & 0.973711 \tabularnewline
188 & 0.0273278 & 0.0546555 & 0.972672 \tabularnewline
189 & 0.0284934 & 0.0569869 & 0.971507 \tabularnewline
190 & 0.0298154 & 0.0596307 & 0.970185 \tabularnewline
191 & 0.0313285 & 0.0626569 & 0.968672 \tabularnewline
192 & 0.0546116 & 0.109223 & 0.945388 \tabularnewline
193 & 0.0671064 & 0.134213 & 0.932894 \tabularnewline
194 & 0.0661176 & 0.132235 & 0.933882 \tabularnewline
195 & 0.0585828 & 0.117166 & 0.941417 \tabularnewline
196 & 0.0779482 & 0.155896 & 0.922052 \tabularnewline
197 & 0.132234 & 0.264469 & 0.867766 \tabularnewline
198 & 0.267747 & 0.535494 & 0.732253 \tabularnewline
199 & 0.266526 & 0.533052 & 0.733474 \tabularnewline
200 & 0.245991 & 0.491982 & 0.754009 \tabularnewline
201 & 0.226452 & 0.452904 & 0.773548 \tabularnewline
202 & 0.232416 & 0.464831 & 0.767584 \tabularnewline
203 & 0.210783 & 0.421567 & 0.789217 \tabularnewline
204 & 0.208965 & 0.417929 & 0.791035 \tabularnewline
205 & 0.18287 & 0.365741 & 0.81713 \tabularnewline
206 & 0.163319 & 0.326637 & 0.836681 \tabularnewline
207 & 0.195941 & 0.391883 & 0.804059 \tabularnewline
208 & 0.170126 & 0.340253 & 0.829874 \tabularnewline
209 & 0.339197 & 0.678393 & 0.660803 \tabularnewline
210 & 0.312779 & 0.625558 & 0.687221 \tabularnewline
211 & 0.287713 & 0.575425 & 0.712287 \tabularnewline
212 & 0.254934 & 0.509867 & 0.745066 \tabularnewline
213 & 0.300825 & 0.60165 & 0.699175 \tabularnewline
214 & 0.303158 & 0.606317 & 0.696842 \tabularnewline
215 & 0.357689 & 0.715378 & 0.642311 \tabularnewline
216 & 0.329052 & 0.658104 & 0.670948 \tabularnewline
217 & 0.292741 & 0.585483 & 0.707259 \tabularnewline
218 & 0.266559 & 0.533119 & 0.733441 \tabularnewline
219 & 0.241846 & 0.483692 & 0.758154 \tabularnewline
220 & 0.362541 & 0.725083 & 0.637459 \tabularnewline
221 & 0.323856 & 0.647713 & 0.676144 \tabularnewline
222 & 0.324215 & 0.648431 & 0.675785 \tabularnewline
223 & 0.585455 & 0.829091 & 0.414545 \tabularnewline
224 & 0.562588 & 0.874824 & 0.437412 \tabularnewline
225 & 0.526 & 0.947999 & 0.474 \tabularnewline
226 & 0.494921 & 0.989841 & 0.505079 \tabularnewline
227 & 0.488859 & 0.977717 & 0.511141 \tabularnewline
228 & 0.455436 & 0.910872 & 0.544564 \tabularnewline
229 & 0.430122 & 0.860243 & 0.569878 \tabularnewline
230 & 0.387606 & 0.775212 & 0.612394 \tabularnewline
231 & 0.520566 & 0.958867 & 0.479434 \tabularnewline
232 & 0.521852 & 0.956296 & 0.478148 \tabularnewline
233 & 0.474917 & 0.949834 & 0.525083 \tabularnewline
234 & 0.440882 & 0.881763 & 0.559118 \tabularnewline
235 & 0.619106 & 0.761788 & 0.380894 \tabularnewline
236 & 0.578952 & 0.842097 & 0.421048 \tabularnewline
237 & 0.544758 & 0.910483 & 0.455242 \tabularnewline
238 & 0.517928 & 0.964144 & 0.482072 \tabularnewline
239 & 0.74303 & 0.51394 & 0.25697 \tabularnewline
240 & 0.749392 & 0.501216 & 0.250608 \tabularnewline
241 & 0.707492 & 0.585015 & 0.292508 \tabularnewline
242 & 0.675293 & 0.649414 & 0.324707 \tabularnewline
243 & 0.626026 & 0.747949 & 0.373974 \tabularnewline
244 & 0.631824 & 0.736351 & 0.368176 \tabularnewline
245 & 0.716241 & 0.567518 & 0.283759 \tabularnewline
246 & 0.686147 & 0.627706 & 0.313853 \tabularnewline
247 & 0.643721 & 0.712558 & 0.356279 \tabularnewline
248 & 0.59036 & 0.81928 & 0.40964 \tabularnewline
249 & 0.534692 & 0.930615 & 0.465308 \tabularnewline
250 & 0.537497 & 0.925005 & 0.462503 \tabularnewline
251 & 0.494856 & 0.989712 & 0.505144 \tabularnewline
252 & 0.517273 & 0.965454 & 0.482727 \tabularnewline
253 & 0.479572 & 0.959145 & 0.520428 \tabularnewline
254 & 0.473575 & 0.94715 & 0.526425 \tabularnewline
255 & 0.463008 & 0.926017 & 0.536992 \tabularnewline
256 & 0.482416 & 0.964832 & 0.517584 \tabularnewline
257 & 0.444555 & 0.88911 & 0.555445 \tabularnewline
258 & 0.378615 & 0.757229 & 0.621385 \tabularnewline
259 & 0.315748 & 0.631496 & 0.684252 \tabularnewline
260 & 0.262456 & 0.524913 & 0.737544 \tabularnewline
261 & 0.213727 & 0.427454 & 0.786273 \tabularnewline
262 & 0.229724 & 0.459448 & 0.770276 \tabularnewline
263 & 0.278832 & 0.557665 & 0.721168 \tabularnewline
264 & 0.215836 & 0.431672 & 0.784164 \tabularnewline
265 & 0.167765 & 0.33553 & 0.832235 \tabularnewline
266 & 0.229781 & 0.459562 & 0.770219 \tabularnewline
267 & 0.16656 & 0.33312 & 0.83344 \tabularnewline
268 & 0.127692 & 0.255385 & 0.872308 \tabularnewline
269 & 0.115472 & 0.230945 & 0.884528 \tabularnewline
270 & 0.0803193 & 0.160639 & 0.919681 \tabularnewline
271 & 0.0503553 & 0.100711 & 0.949645 \tabularnewline
272 & 0.0257603 & 0.0515206 & 0.97424 \tabularnewline
273 & 0.492427 & 0.984853 & 0.507573 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=264727&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]5[/C][C]0.274053[/C][C]0.548105[/C][C]0.725947[/C][/ROW]
[ROW][C]6[/C][C]0.339362[/C][C]0.678723[/C][C]0.660638[/C][/ROW]
[ROW][C]7[/C][C]0.233782[/C][C]0.467564[/C][C]0.766218[/C][/ROW]
[ROW][C]8[/C][C]0.152678[/C][C]0.305355[/C][C]0.847322[/C][/ROW]
[ROW][C]9[/C][C]0.227404[/C][C]0.454807[/C][C]0.772596[/C][/ROW]
[ROW][C]10[/C][C]0.177697[/C][C]0.355394[/C][C]0.822303[/C][/ROW]
[ROW][C]11[/C][C]0.134211[/C][C]0.268423[/C][C]0.865789[/C][/ROW]
[ROW][C]12[/C][C]0.275194[/C][C]0.550389[/C][C]0.724806[/C][/ROW]
[ROW][C]13[/C][C]0.21452[/C][C]0.429039[/C][C]0.78548[/C][/ROW]
[ROW][C]14[/C][C]0.162834[/C][C]0.325669[/C][C]0.837166[/C][/ROW]
[ROW][C]15[/C][C]0.114644[/C][C]0.229287[/C][C]0.885356[/C][/ROW]
[ROW][C]16[/C][C]0.0785498[/C][C]0.1571[/C][C]0.92145[/C][/ROW]
[ROW][C]17[/C][C]0.0559373[/C][C]0.111875[/C][C]0.944063[/C][/ROW]
[ROW][C]18[/C][C]0.0804452[/C][C]0.16089[/C][C]0.919555[/C][/ROW]
[ROW][C]19[/C][C]0.0718955[/C][C]0.143791[/C][C]0.928105[/C][/ROW]
[ROW][C]20[/C][C]0.123282[/C][C]0.246564[/C][C]0.876718[/C][/ROW]
[ROW][C]21[/C][C]0.118191[/C][C]0.236382[/C][C]0.881809[/C][/ROW]
[ROW][C]22[/C][C]0.106785[/C][C]0.21357[/C][C]0.893215[/C][/ROW]
[ROW][C]23[/C][C]0.0948568[/C][C]0.189714[/C][C]0.905143[/C][/ROW]
[ROW][C]24[/C][C]0.137434[/C][C]0.274868[/C][C]0.862566[/C][/ROW]
[ROW][C]25[/C][C]0.169764[/C][C]0.339528[/C][C]0.830236[/C][/ROW]
[ROW][C]26[/C][C]0.218788[/C][C]0.437577[/C][C]0.781212[/C][/ROW]
[ROW][C]27[/C][C]0.554011[/C][C]0.891977[/C][C]0.445989[/C][/ROW]
[ROW][C]28[/C][C]0.539614[/C][C]0.920773[/C][C]0.460386[/C][/ROW]
[ROW][C]29[/C][C]0.486037[/C][C]0.972074[/C][C]0.513963[/C][/ROW]
[ROW][C]30[/C][C]0.524857[/C][C]0.950286[/C][C]0.475143[/C][/ROW]
[ROW][C]31[/C][C]0.471235[/C][C]0.94247[/C][C]0.528765[/C][/ROW]
[ROW][C]32[/C][C]0.418534[/C][C]0.837067[/C][C]0.581466[/C][/ROW]
[ROW][C]33[/C][C]0.463873[/C][C]0.927747[/C][C]0.536127[/C][/ROW]
[ROW][C]34[/C][C]0.498297[/C][C]0.996595[/C][C]0.501703[/C][/ROW]
[ROW][C]35[/C][C]0.481691[/C][C]0.963382[/C][C]0.518309[/C][/ROW]
[ROW][C]36[/C][C]0.458577[/C][C]0.917155[/C][C]0.541423[/C][/ROW]
[ROW][C]37[/C][C]0.434391[/C][C]0.868781[/C][C]0.565609[/C][/ROW]
[ROW][C]38[/C][C]0.518463[/C][C]0.963074[/C][C]0.481537[/C][/ROW]
[ROW][C]39[/C][C]0.473487[/C][C]0.946975[/C][C]0.526513[/C][/ROW]
[ROW][C]40[/C][C]0.51598[/C][C]0.96804[/C][C]0.48402[/C][/ROW]
[ROW][C]41[/C][C]0.499329[/C][C]0.998659[/C][C]0.500671[/C][/ROW]
[ROW][C]42[/C][C]0.453559[/C][C]0.907119[/C][C]0.546441[/C][/ROW]
[ROW][C]43[/C][C]0.437104[/C][C]0.874207[/C][C]0.562896[/C][/ROW]
[ROW][C]44[/C][C]0.39336[/C][C]0.786719[/C][C]0.60664[/C][/ROW]
[ROW][C]45[/C][C]0.384007[/C][C]0.768014[/C][C]0.615993[/C][/ROW]
[ROW][C]46[/C][C]0.34324[/C][C]0.686479[/C][C]0.65676[/C][/ROW]
[ROW][C]47[/C][C]0.374383[/C][C]0.748767[/C][C]0.625617[/C][/ROW]
[ROW][C]48[/C][C]0.357689[/C][C]0.715377[/C][C]0.642311[/C][/ROW]
[ROW][C]49[/C][C]0.319523[/C][C]0.639047[/C][C]0.680477[/C][/ROW]
[ROW][C]50[/C][C]0.350332[/C][C]0.700663[/C][C]0.649668[/C][/ROW]
[ROW][C]51[/C][C]0.31397[/C][C]0.62794[/C][C]0.68603[/C][/ROW]
[ROW][C]52[/C][C]0.301702[/C][C]0.603404[/C][C]0.698298[/C][/ROW]
[ROW][C]53[/C][C]0.327728[/C][C]0.655456[/C][C]0.672272[/C][/ROW]
[ROW][C]54[/C][C]0.291528[/C][C]0.583056[/C][C]0.708472[/C][/ROW]
[ROW][C]55[/C][C]0.256351[/C][C]0.512703[/C][C]0.743649[/C][/ROW]
[ROW][C]56[/C][C]0.24775[/C][C]0.4955[/C][C]0.75225[/C][/ROW]
[ROW][C]57[/C][C]0.217306[/C][C]0.434613[/C][C]0.782694[/C][/ROW]
[ROW][C]58[/C][C]0.188179[/C][C]0.376358[/C][C]0.811821[/C][/ROW]
[ROW][C]59[/C][C]0.210604[/C][C]0.421207[/C][C]0.789396[/C][/ROW]
[ROW][C]60[/C][C]0.383957[/C][C]0.767914[/C][C]0.616043[/C][/ROW]
[ROW][C]61[/C][C]0.491384[/C][C]0.982769[/C][C]0.508616[/C][/ROW]
[ROW][C]62[/C][C]0.593325[/C][C]0.81335[/C][C]0.406675[/C][/ROW]
[ROW][C]63[/C][C]0.576963[/C][C]0.846073[/C][C]0.423037[/C][/ROW]
[ROW][C]64[/C][C]0.601322[/C][C]0.797357[/C][C]0.398678[/C][/ROW]
[ROW][C]65[/C][C]0.563733[/C][C]0.872535[/C][C]0.436267[/C][/ROW]
[ROW][C]66[/C][C]0.597105[/C][C]0.80579[/C][C]0.402895[/C][/ROW]
[ROW][C]67[/C][C]0.618146[/C][C]0.763708[/C][C]0.381854[/C][/ROW]
[ROW][C]68[/C][C]0.691919[/C][C]0.616163[/C][C]0.308081[/C][/ROW]
[ROW][C]69[/C][C]0.657262[/C][C]0.685475[/C][C]0.342738[/C][/ROW]
[ROW][C]70[/C][C]0.622732[/C][C]0.754536[/C][C]0.377268[/C][/ROW]
[ROW][C]71[/C][C]0.716663[/C][C]0.566674[/C][C]0.283337[/C][/ROW]
[ROW][C]72[/C][C]0.684033[/C][C]0.631933[/C][C]0.315967[/C][/ROW]
[ROW][C]73[/C][C]0.667629[/C][C]0.664742[/C][C]0.332371[/C][/ROW]
[ROW][C]74[/C][C]0.633157[/C][C]0.733685[/C][C]0.366843[/C][/ROW]
[ROW][C]75[/C][C]0.61421[/C][C]0.77158[/C][C]0.38579[/C][/ROW]
[ROW][C]76[/C][C]0.594617[/C][C]0.810766[/C][C]0.405383[/C][/ROW]
[ROW][C]77[/C][C]0.574869[/C][C]0.850261[/C][C]0.425131[/C][/ROW]
[ROW][C]78[/C][C]0.53819[/C][C]0.923621[/C][C]0.46181[/C][/ROW]
[ROW][C]79[/C][C]0.530071[/C][C]0.939857[/C][C]0.469929[/C][/ROW]
[ROW][C]80[/C][C]0.630852[/C][C]0.738296[/C][C]0.369148[/C][/ROW]
[ROW][C]81[/C][C]0.611901[/C][C]0.776197[/C][C]0.388099[/C][/ROW]
[ROW][C]82[/C][C]0.604189[/C][C]0.791623[/C][C]0.395811[/C][/ROW]
[ROW][C]83[/C][C]0.569007[/C][C]0.861986[/C][C]0.430993[/C][/ROW]
[ROW][C]84[/C][C]0.536966[/C][C]0.926067[/C][C]0.463034[/C][/ROW]
[ROW][C]85[/C][C]0.528114[/C][C]0.943772[/C][C]0.471886[/C][/ROW]
[ROW][C]86[/C][C]0.546929[/C][C]0.906142[/C][C]0.453071[/C][/ROW]
[ROW][C]87[/C][C]0.582167[/C][C]0.835665[/C][C]0.417833[/C][/ROW]
[ROW][C]88[/C][C]0.550495[/C][C]0.89901[/C][C]0.449505[/C][/ROW]
[ROW][C]89[/C][C]0.532773[/C][C]0.934454[/C][C]0.467227[/C][/ROW]
[ROW][C]90[/C][C]0.514037[/C][C]0.971926[/C][C]0.485963[/C][/ROW]
[ROW][C]91[/C][C]0.494436[/C][C]0.988871[/C][C]0.505564[/C][/ROW]
[ROW][C]92[/C][C]0.463573[/C][C]0.927146[/C][C]0.536427[/C][/ROW]
[ROW][C]93[/C][C]0.443759[/C][C]0.887517[/C][C]0.556241[/C][/ROW]
[ROW][C]94[/C][C]0.408911[/C][C]0.817823[/C][C]0.591089[/C][/ROW]
[ROW][C]95[/C][C]0.374787[/C][C]0.749575[/C][C]0.625213[/C][/ROW]
[ROW][C]96[/C][C]0.355199[/C][C]0.710397[/C][C]0.644801[/C][/ROW]
[ROW][C]97[/C][C]0.418402[/C][C]0.836805[/C][C]0.581598[/C][/ROW]
[ROW][C]98[/C][C]0.383856[/C][C]0.767711[/C][C]0.616144[/C][/ROW]
[ROW][C]99[/C][C]0.36241[/C][C]0.72482[/C][C]0.63759[/C][/ROW]
[ROW][C]100[/C][C]0.335835[/C][C]0.67167[/C][C]0.664165[/C][/ROW]
[ROW][C]101[/C][C]0.333708[/C][C]0.667416[/C][C]0.666292[/C][/ROW]
[ROW][C]102[/C][C]0.330986[/C][C]0.661972[/C][C]0.669014[/C][/ROW]
[ROW][C]103[/C][C]0.369553[/C][C]0.739105[/C][C]0.630447[/C][/ROW]
[ROW][C]104[/C][C]0.342165[/C][C]0.68433[/C][C]0.657835[/C][/ROW]
[ROW][C]105[/C][C]0.310869[/C][C]0.621739[/C][C]0.689131[/C][/ROW]
[ROW][C]106[/C][C]0.307193[/C][C]0.614386[/C][C]0.692807[/C][/ROW]
[ROW][C]107[/C][C]0.28195[/C][C]0.563901[/C][C]0.71805[/C][/ROW]
[ROW][C]108[/C][C]0.253675[/C][C]0.50735[/C][C]0.746325[/C][/ROW]
[ROW][C]109[/C][C]0.250319[/C][C]0.500638[/C][C]0.749681[/C][/ROW]
[ROW][C]110[/C][C]0.223986[/C][C]0.447972[/C][C]0.776014[/C][/ROW]
[ROW][C]111[/C][C]0.202913[/C][C]0.405827[/C][C]0.797087[/C][/ROW]
[ROW][C]112[/C][C]0.183122[/C][C]0.366244[/C][C]0.816878[/C][/ROW]
[ROW][C]113[/C][C]0.179359[/C][C]0.358718[/C][C]0.820641[/C][/ROW]
[ROW][C]114[/C][C]0.167799[/C][C]0.335598[/C][C]0.832201[/C][/ROW]
[ROW][C]115[/C][C]0.147462[/C][C]0.294923[/C][C]0.852538[/C][/ROW]
[ROW][C]116[/C][C]0.13708[/C][C]0.27416[/C][C]0.86292[/C][/ROW]
[ROW][C]117[/C][C]0.303623[/C][C]0.607245[/C][C]0.696377[/C][/ROW]
[ROW][C]118[/C][C]0.279503[/C][C]0.559006[/C][C]0.720497[/C][/ROW]
[ROW][C]119[/C][C]0.369859[/C][C]0.739718[/C][C]0.630141[/C][/ROW]
[ROW][C]120[/C][C]0.352253[/C][C]0.704506[/C][C]0.647747[/C][/ROW]
[ROW][C]121[/C][C]0.325961[/C][C]0.651922[/C][C]0.674039[/C][/ROW]
[ROW][C]122[/C][C]0.296434[/C][C]0.592868[/C][C]0.703566[/C][/ROW]
[ROW][C]123[/C][C]0.28013[/C][C]0.56026[/C][C]0.71987[/C][/ROW]
[ROW][C]124[/C][C]0.256641[/C][C]0.513281[/C][C]0.743359[/C][/ROW]
[ROW][C]125[/C][C]0.24134[/C][C]0.482679[/C][C]0.75866[/C][/ROW]
[ROW][C]126[/C][C]0.226378[/C][C]0.452757[/C][C]0.773622[/C][/ROW]
[ROW][C]127[/C][C]0.201895[/C][C]0.403791[/C][C]0.798105[/C][/ROW]
[ROW][C]128[/C][C]0.188248[/C][C]0.376497[/C][C]0.811752[/C][/ROW]
[ROW][C]129[/C][C]0.174527[/C][C]0.349055[/C][C]0.825473[/C][/ROW]
[ROW][C]130[/C][C]0.172219[/C][C]0.344438[/C][C]0.827781[/C][/ROW]
[ROW][C]131[/C][C]0.151664[/C][C]0.303329[/C][C]0.848336[/C][/ROW]
[ROW][C]132[/C][C]0.132805[/C][C]0.26561[/C][C]0.867195[/C][/ROW]
[ROW][C]133[/C][C]0.115622[/C][C]0.231244[/C][C]0.884378[/C][/ROW]
[ROW][C]134[/C][C]0.106123[/C][C]0.212247[/C][C]0.893877[/C][/ROW]
[ROW][C]135[/C][C]0.111823[/C][C]0.223645[/C][C]0.888177[/C][/ROW]
[ROW][C]136[/C][C]0.0990935[/C][C]0.198187[/C][C]0.900907[/C][/ROW]
[ROW][C]137[/C][C]0.0851871[/C][C]0.170374[/C][C]0.914813[/C][/ROW]
[ROW][C]138[/C][C]0.0727944[/C][C]0.145589[/C][C]0.927206[/C][/ROW]
[ROW][C]139[/C][C]0.0618289[/C][C]0.123658[/C][C]0.938171[/C][/ROW]
[ROW][C]140[/C][C]0.0557857[/C][C]0.111571[/C][C]0.944214[/C][/ROW]
[ROW][C]141[/C][C]0.0484914[/C][C]0.0969828[/C][C]0.951509[/C][/ROW]
[ROW][C]142[/C][C]0.0514284[/C][C]0.102857[/C][C]0.948572[/C][/ROW]
[ROW][C]143[/C][C]0.0965919[/C][C]0.193184[/C][C]0.903408[/C][/ROW]
[ROW][C]144[/C][C]0.0828686[/C][C]0.165737[/C][C]0.917131[/C][/ROW]
[ROW][C]145[/C][C]0.0816748[/C][C]0.16335[/C][C]0.918325[/C][/ROW]
[ROW][C]146[/C][C]0.0696115[/C][C]0.139223[/C][C]0.930389[/C][/ROW]
[ROW][C]147[/C][C]0.0589663[/C][C]0.117933[/C][C]0.941034[/C][/ROW]
[ROW][C]148[/C][C]0.04964[/C][C]0.0992799[/C][C]0.95036[/C][/ROW]
[ROW][C]149[/C][C]0.0524527[/C][C]0.104905[/C][C]0.947547[/C][/ROW]
[ROW][C]150[/C][C]0.0439628[/C][C]0.0879256[/C][C]0.956037[/C][/ROW]
[ROW][C]151[/C][C]0.0392986[/C][C]0.0785973[/C][C]0.960701[/C][/ROW]
[ROW][C]152[/C][C]0.0385923[/C][C]0.0771846[/C][C]0.961408[/C][/ROW]
[ROW][C]153[/C][C]0.0379665[/C][C]0.0759331[/C][C]0.962033[/C][/ROW]
[ROW][C]154[/C][C]0.0314547[/C][C]0.0629094[/C][C]0.968545[/C][/ROW]
[ROW][C]155[/C][C]0.0259284[/C][C]0.0518569[/C][C]0.974072[/C][/ROW]
[ROW][C]156[/C][C]0.0220916[/C][C]0.0441831[/C][C]0.977908[/C][/ROW]
[ROW][C]157[/C][C]0.0217505[/C][C]0.043501[/C][C]0.97825[/C][/ROW]
[ROW][C]158[/C][C]0.02148[/C][C]0.0429599[/C][C]0.97852[/C][/ROW]
[ROW][C]159[/C][C]0.0438872[/C][C]0.0877744[/C][C]0.956113[/C][/ROW]
[ROW][C]160[/C][C]0.0379386[/C][C]0.0758771[/C][C]0.962061[/C][/ROW]
[ROW][C]161[/C][C]0.051292[/C][C]0.102584[/C][C]0.948708[/C][/ROW]
[ROW][C]162[/C][C]0.0428795[/C][C]0.0857589[/C][C]0.957121[/C][/ROW]
[ROW][C]163[/C][C]0.0356373[/C][C]0.0712745[/C][C]0.964363[/C][/ROW]
[ROW][C]164[/C][C]0.0294244[/C][C]0.0588489[/C][C]0.970576[/C][/ROW]
[ROW][C]165[/C][C]0.0306657[/C][C]0.0613313[/C][C]0.969334[/C][/ROW]
[ROW][C]166[/C][C]0.0262389[/C][C]0.0524779[/C][C]0.973761[/C][/ROW]
[ROW][C]167[/C][C]0.0359461[/C][C]0.0718922[/C][C]0.964054[/C][/ROW]
[ROW][C]168[/C][C]0.0308758[/C][C]0.0617517[/C][C]0.969124[/C][/ROW]
[ROW][C]169[/C][C]0.0306525[/C][C]0.0613049[/C][C]0.969348[/C][/ROW]
[ROW][C]170[/C][C]0.0251205[/C][C]0.0502409[/C][C]0.97488[/C][/ROW]
[ROW][C]171[/C][C]0.0344001[/C][C]0.0688002[/C][C]0.9656[/C][/ROW]
[ROW][C]172[/C][C]0.0294916[/C][C]0.0589831[/C][C]0.970508[/C][/ROW]
[ROW][C]173[/C][C]0.0861597[/C][C]0.172319[/C][C]0.91384[/C][/ROW]
[ROW][C]174[/C][C]0.075844[/C][C]0.151688[/C][C]0.924156[/C][/ROW]
[ROW][C]175[/C][C]0.0665642[/C][C]0.133128[/C][C]0.933436[/C][/ROW]
[ROW][C]176[/C][C]0.0660115[/C][C]0.132023[/C][C]0.933988[/C][/ROW]
[ROW][C]177[/C][C]0.0587424[/C][C]0.117485[/C][C]0.941258[/C][/ROW]
[ROW][C]178[/C][C]0.0521388[/C][C]0.104278[/C][C]0.947861[/C][/ROW]
[ROW][C]179[/C][C]0.0451102[/C][C]0.0902204[/C][C]0.95489[/C][/ROW]
[ROW][C]180[/C][C]0.0389039[/C][C]0.0778079[/C][C]0.961096[/C][/ROW]
[ROW][C]181[/C][C]0.0320153[/C][C]0.0640305[/C][C]0.967985[/C][/ROW]
[ROW][C]182[/C][C]0.0273019[/C][C]0.0546038[/C][C]0.972698[/C][/ROW]
[ROW][C]183[/C][C]0.0351983[/C][C]0.0703966[/C][C]0.964802[/C][/ROW]
[ROW][C]184[/C][C]0.0288272[/C][C]0.0576544[/C][C]0.971173[/C][/ROW]
[ROW][C]185[/C][C]0.0244969[/C][C]0.0489937[/C][C]0.975503[/C][/ROW]
[ROW][C]186[/C][C]0.0253525[/C][C]0.0507051[/C][C]0.974647[/C][/ROW]
[ROW][C]187[/C][C]0.0262891[/C][C]0.0525782[/C][C]0.973711[/C][/ROW]
[ROW][C]188[/C][C]0.0273278[/C][C]0.0546555[/C][C]0.972672[/C][/ROW]
[ROW][C]189[/C][C]0.0284934[/C][C]0.0569869[/C][C]0.971507[/C][/ROW]
[ROW][C]190[/C][C]0.0298154[/C][C]0.0596307[/C][C]0.970185[/C][/ROW]
[ROW][C]191[/C][C]0.0313285[/C][C]0.0626569[/C][C]0.968672[/C][/ROW]
[ROW][C]192[/C][C]0.0546116[/C][C]0.109223[/C][C]0.945388[/C][/ROW]
[ROW][C]193[/C][C]0.0671064[/C][C]0.134213[/C][C]0.932894[/C][/ROW]
[ROW][C]194[/C][C]0.0661176[/C][C]0.132235[/C][C]0.933882[/C][/ROW]
[ROW][C]195[/C][C]0.0585828[/C][C]0.117166[/C][C]0.941417[/C][/ROW]
[ROW][C]196[/C][C]0.0779482[/C][C]0.155896[/C][C]0.922052[/C][/ROW]
[ROW][C]197[/C][C]0.132234[/C][C]0.264469[/C][C]0.867766[/C][/ROW]
[ROW][C]198[/C][C]0.267747[/C][C]0.535494[/C][C]0.732253[/C][/ROW]
[ROW][C]199[/C][C]0.266526[/C][C]0.533052[/C][C]0.733474[/C][/ROW]
[ROW][C]200[/C][C]0.245991[/C][C]0.491982[/C][C]0.754009[/C][/ROW]
[ROW][C]201[/C][C]0.226452[/C][C]0.452904[/C][C]0.773548[/C][/ROW]
[ROW][C]202[/C][C]0.232416[/C][C]0.464831[/C][C]0.767584[/C][/ROW]
[ROW][C]203[/C][C]0.210783[/C][C]0.421567[/C][C]0.789217[/C][/ROW]
[ROW][C]204[/C][C]0.208965[/C][C]0.417929[/C][C]0.791035[/C][/ROW]
[ROW][C]205[/C][C]0.18287[/C][C]0.365741[/C][C]0.81713[/C][/ROW]
[ROW][C]206[/C][C]0.163319[/C][C]0.326637[/C][C]0.836681[/C][/ROW]
[ROW][C]207[/C][C]0.195941[/C][C]0.391883[/C][C]0.804059[/C][/ROW]
[ROW][C]208[/C][C]0.170126[/C][C]0.340253[/C][C]0.829874[/C][/ROW]
[ROW][C]209[/C][C]0.339197[/C][C]0.678393[/C][C]0.660803[/C][/ROW]
[ROW][C]210[/C][C]0.312779[/C][C]0.625558[/C][C]0.687221[/C][/ROW]
[ROW][C]211[/C][C]0.287713[/C][C]0.575425[/C][C]0.712287[/C][/ROW]
[ROW][C]212[/C][C]0.254934[/C][C]0.509867[/C][C]0.745066[/C][/ROW]
[ROW][C]213[/C][C]0.300825[/C][C]0.60165[/C][C]0.699175[/C][/ROW]
[ROW][C]214[/C][C]0.303158[/C][C]0.606317[/C][C]0.696842[/C][/ROW]
[ROW][C]215[/C][C]0.357689[/C][C]0.715378[/C][C]0.642311[/C][/ROW]
[ROW][C]216[/C][C]0.329052[/C][C]0.658104[/C][C]0.670948[/C][/ROW]
[ROW][C]217[/C][C]0.292741[/C][C]0.585483[/C][C]0.707259[/C][/ROW]
[ROW][C]218[/C][C]0.266559[/C][C]0.533119[/C][C]0.733441[/C][/ROW]
[ROW][C]219[/C][C]0.241846[/C][C]0.483692[/C][C]0.758154[/C][/ROW]
[ROW][C]220[/C][C]0.362541[/C][C]0.725083[/C][C]0.637459[/C][/ROW]
[ROW][C]221[/C][C]0.323856[/C][C]0.647713[/C][C]0.676144[/C][/ROW]
[ROW][C]222[/C][C]0.324215[/C][C]0.648431[/C][C]0.675785[/C][/ROW]
[ROW][C]223[/C][C]0.585455[/C][C]0.829091[/C][C]0.414545[/C][/ROW]
[ROW][C]224[/C][C]0.562588[/C][C]0.874824[/C][C]0.437412[/C][/ROW]
[ROW][C]225[/C][C]0.526[/C][C]0.947999[/C][C]0.474[/C][/ROW]
[ROW][C]226[/C][C]0.494921[/C][C]0.989841[/C][C]0.505079[/C][/ROW]
[ROW][C]227[/C][C]0.488859[/C][C]0.977717[/C][C]0.511141[/C][/ROW]
[ROW][C]228[/C][C]0.455436[/C][C]0.910872[/C][C]0.544564[/C][/ROW]
[ROW][C]229[/C][C]0.430122[/C][C]0.860243[/C][C]0.569878[/C][/ROW]
[ROW][C]230[/C][C]0.387606[/C][C]0.775212[/C][C]0.612394[/C][/ROW]
[ROW][C]231[/C][C]0.520566[/C][C]0.958867[/C][C]0.479434[/C][/ROW]
[ROW][C]232[/C][C]0.521852[/C][C]0.956296[/C][C]0.478148[/C][/ROW]
[ROW][C]233[/C][C]0.474917[/C][C]0.949834[/C][C]0.525083[/C][/ROW]
[ROW][C]234[/C][C]0.440882[/C][C]0.881763[/C][C]0.559118[/C][/ROW]
[ROW][C]235[/C][C]0.619106[/C][C]0.761788[/C][C]0.380894[/C][/ROW]
[ROW][C]236[/C][C]0.578952[/C][C]0.842097[/C][C]0.421048[/C][/ROW]
[ROW][C]237[/C][C]0.544758[/C][C]0.910483[/C][C]0.455242[/C][/ROW]
[ROW][C]238[/C][C]0.517928[/C][C]0.964144[/C][C]0.482072[/C][/ROW]
[ROW][C]239[/C][C]0.74303[/C][C]0.51394[/C][C]0.25697[/C][/ROW]
[ROW][C]240[/C][C]0.749392[/C][C]0.501216[/C][C]0.250608[/C][/ROW]
[ROW][C]241[/C][C]0.707492[/C][C]0.585015[/C][C]0.292508[/C][/ROW]
[ROW][C]242[/C][C]0.675293[/C][C]0.649414[/C][C]0.324707[/C][/ROW]
[ROW][C]243[/C][C]0.626026[/C][C]0.747949[/C][C]0.373974[/C][/ROW]
[ROW][C]244[/C][C]0.631824[/C][C]0.736351[/C][C]0.368176[/C][/ROW]
[ROW][C]245[/C][C]0.716241[/C][C]0.567518[/C][C]0.283759[/C][/ROW]
[ROW][C]246[/C][C]0.686147[/C][C]0.627706[/C][C]0.313853[/C][/ROW]
[ROW][C]247[/C][C]0.643721[/C][C]0.712558[/C][C]0.356279[/C][/ROW]
[ROW][C]248[/C][C]0.59036[/C][C]0.81928[/C][C]0.40964[/C][/ROW]
[ROW][C]249[/C][C]0.534692[/C][C]0.930615[/C][C]0.465308[/C][/ROW]
[ROW][C]250[/C][C]0.537497[/C][C]0.925005[/C][C]0.462503[/C][/ROW]
[ROW][C]251[/C][C]0.494856[/C][C]0.989712[/C][C]0.505144[/C][/ROW]
[ROW][C]252[/C][C]0.517273[/C][C]0.965454[/C][C]0.482727[/C][/ROW]
[ROW][C]253[/C][C]0.479572[/C][C]0.959145[/C][C]0.520428[/C][/ROW]
[ROW][C]254[/C][C]0.473575[/C][C]0.94715[/C][C]0.526425[/C][/ROW]
[ROW][C]255[/C][C]0.463008[/C][C]0.926017[/C][C]0.536992[/C][/ROW]
[ROW][C]256[/C][C]0.482416[/C][C]0.964832[/C][C]0.517584[/C][/ROW]
[ROW][C]257[/C][C]0.444555[/C][C]0.88911[/C][C]0.555445[/C][/ROW]
[ROW][C]258[/C][C]0.378615[/C][C]0.757229[/C][C]0.621385[/C][/ROW]
[ROW][C]259[/C][C]0.315748[/C][C]0.631496[/C][C]0.684252[/C][/ROW]
[ROW][C]260[/C][C]0.262456[/C][C]0.524913[/C][C]0.737544[/C][/ROW]
[ROW][C]261[/C][C]0.213727[/C][C]0.427454[/C][C]0.786273[/C][/ROW]
[ROW][C]262[/C][C]0.229724[/C][C]0.459448[/C][C]0.770276[/C][/ROW]
[ROW][C]263[/C][C]0.278832[/C][C]0.557665[/C][C]0.721168[/C][/ROW]
[ROW][C]264[/C][C]0.215836[/C][C]0.431672[/C][C]0.784164[/C][/ROW]
[ROW][C]265[/C][C]0.167765[/C][C]0.33553[/C][C]0.832235[/C][/ROW]
[ROW][C]266[/C][C]0.229781[/C][C]0.459562[/C][C]0.770219[/C][/ROW]
[ROW][C]267[/C][C]0.16656[/C][C]0.33312[/C][C]0.83344[/C][/ROW]
[ROW][C]268[/C][C]0.127692[/C][C]0.255385[/C][C]0.872308[/C][/ROW]
[ROW][C]269[/C][C]0.115472[/C][C]0.230945[/C][C]0.884528[/C][/ROW]
[ROW][C]270[/C][C]0.0803193[/C][C]0.160639[/C][C]0.919681[/C][/ROW]
[ROW][C]271[/C][C]0.0503553[/C][C]0.100711[/C][C]0.949645[/C][/ROW]
[ROW][C]272[/C][C]0.0257603[/C][C]0.0515206[/C][C]0.97424[/C][/ROW]
[ROW][C]273[/C][C]0.492427[/C][C]0.984853[/C][C]0.507573[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=264727&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=264727&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
50.2740530.5481050.725947
60.3393620.6787230.660638
70.2337820.4675640.766218
80.1526780.3053550.847322
90.2274040.4548070.772596
100.1776970.3553940.822303
110.1342110.2684230.865789
120.2751940.5503890.724806
130.214520.4290390.78548
140.1628340.3256690.837166
150.1146440.2292870.885356
160.07854980.15710.92145
170.05593730.1118750.944063
180.08044520.160890.919555
190.07189550.1437910.928105
200.1232820.2465640.876718
210.1181910.2363820.881809
220.1067850.213570.893215
230.09485680.1897140.905143
240.1374340.2748680.862566
250.1697640.3395280.830236
260.2187880.4375770.781212
270.5540110.8919770.445989
280.5396140.9207730.460386
290.4860370.9720740.513963
300.5248570.9502860.475143
310.4712350.942470.528765
320.4185340.8370670.581466
330.4638730.9277470.536127
340.4982970.9965950.501703
350.4816910.9633820.518309
360.4585770.9171550.541423
370.4343910.8687810.565609
380.5184630.9630740.481537
390.4734870.9469750.526513
400.515980.968040.48402
410.4993290.9986590.500671
420.4535590.9071190.546441
430.4371040.8742070.562896
440.393360.7867190.60664
450.3840070.7680140.615993
460.343240.6864790.65676
470.3743830.7487670.625617
480.3576890.7153770.642311
490.3195230.6390470.680477
500.3503320.7006630.649668
510.313970.627940.68603
520.3017020.6034040.698298
530.3277280.6554560.672272
540.2915280.5830560.708472
550.2563510.5127030.743649
560.247750.49550.75225
570.2173060.4346130.782694
580.1881790.3763580.811821
590.2106040.4212070.789396
600.3839570.7679140.616043
610.4913840.9827690.508616
620.5933250.813350.406675
630.5769630.8460730.423037
640.6013220.7973570.398678
650.5637330.8725350.436267
660.5971050.805790.402895
670.6181460.7637080.381854
680.6919190.6161630.308081
690.6572620.6854750.342738
700.6227320.7545360.377268
710.7166630.5666740.283337
720.6840330.6319330.315967
730.6676290.6647420.332371
740.6331570.7336850.366843
750.614210.771580.38579
760.5946170.8107660.405383
770.5748690.8502610.425131
780.538190.9236210.46181
790.5300710.9398570.469929
800.6308520.7382960.369148
810.6119010.7761970.388099
820.6041890.7916230.395811
830.5690070.8619860.430993
840.5369660.9260670.463034
850.5281140.9437720.471886
860.5469290.9061420.453071
870.5821670.8356650.417833
880.5504950.899010.449505
890.5327730.9344540.467227
900.5140370.9719260.485963
910.4944360.9888710.505564
920.4635730.9271460.536427
930.4437590.8875170.556241
940.4089110.8178230.591089
950.3747870.7495750.625213
960.3551990.7103970.644801
970.4184020.8368050.581598
980.3838560.7677110.616144
990.362410.724820.63759
1000.3358350.671670.664165
1010.3337080.6674160.666292
1020.3309860.6619720.669014
1030.3695530.7391050.630447
1040.3421650.684330.657835
1050.3108690.6217390.689131
1060.3071930.6143860.692807
1070.281950.5639010.71805
1080.2536750.507350.746325
1090.2503190.5006380.749681
1100.2239860.4479720.776014
1110.2029130.4058270.797087
1120.1831220.3662440.816878
1130.1793590.3587180.820641
1140.1677990.3355980.832201
1150.1474620.2949230.852538
1160.137080.274160.86292
1170.3036230.6072450.696377
1180.2795030.5590060.720497
1190.3698590.7397180.630141
1200.3522530.7045060.647747
1210.3259610.6519220.674039
1220.2964340.5928680.703566
1230.280130.560260.71987
1240.2566410.5132810.743359
1250.241340.4826790.75866
1260.2263780.4527570.773622
1270.2018950.4037910.798105
1280.1882480.3764970.811752
1290.1745270.3490550.825473
1300.1722190.3444380.827781
1310.1516640.3033290.848336
1320.1328050.265610.867195
1330.1156220.2312440.884378
1340.1061230.2122470.893877
1350.1118230.2236450.888177
1360.09909350.1981870.900907
1370.08518710.1703740.914813
1380.07279440.1455890.927206
1390.06182890.1236580.938171
1400.05578570.1115710.944214
1410.04849140.09698280.951509
1420.05142840.1028570.948572
1430.09659190.1931840.903408
1440.08286860.1657370.917131
1450.08167480.163350.918325
1460.06961150.1392230.930389
1470.05896630.1179330.941034
1480.049640.09927990.95036
1490.05245270.1049050.947547
1500.04396280.08792560.956037
1510.03929860.07859730.960701
1520.03859230.07718460.961408
1530.03796650.07593310.962033
1540.03145470.06290940.968545
1550.02592840.05185690.974072
1560.02209160.04418310.977908
1570.02175050.0435010.97825
1580.021480.04295990.97852
1590.04388720.08777440.956113
1600.03793860.07587710.962061
1610.0512920.1025840.948708
1620.04287950.08575890.957121
1630.03563730.07127450.964363
1640.02942440.05884890.970576
1650.03066570.06133130.969334
1660.02623890.05247790.973761
1670.03594610.07189220.964054
1680.03087580.06175170.969124
1690.03065250.06130490.969348
1700.02512050.05024090.97488
1710.03440010.06880020.9656
1720.02949160.05898310.970508
1730.08615970.1723190.91384
1740.0758440.1516880.924156
1750.06656420.1331280.933436
1760.06601150.1320230.933988
1770.05874240.1174850.941258
1780.05213880.1042780.947861
1790.04511020.09022040.95489
1800.03890390.07780790.961096
1810.03201530.06403050.967985
1820.02730190.05460380.972698
1830.03519830.07039660.964802
1840.02882720.05765440.971173
1850.02449690.04899370.975503
1860.02535250.05070510.974647
1870.02628910.05257820.973711
1880.02732780.05465550.972672
1890.02849340.05698690.971507
1900.02981540.05963070.970185
1910.03132850.06265690.968672
1920.05461160.1092230.945388
1930.06710640.1342130.932894
1940.06611760.1322350.933882
1950.05858280.1171660.941417
1960.07794820.1558960.922052
1970.1322340.2644690.867766
1980.2677470.5354940.732253
1990.2665260.5330520.733474
2000.2459910.4919820.754009
2010.2264520.4529040.773548
2020.2324160.4648310.767584
2030.2107830.4215670.789217
2040.2089650.4179290.791035
2050.182870.3657410.81713
2060.1633190.3266370.836681
2070.1959410.3918830.804059
2080.1701260.3402530.829874
2090.3391970.6783930.660803
2100.3127790.6255580.687221
2110.2877130.5754250.712287
2120.2549340.5098670.745066
2130.3008250.601650.699175
2140.3031580.6063170.696842
2150.3576890.7153780.642311
2160.3290520.6581040.670948
2170.2927410.5854830.707259
2180.2665590.5331190.733441
2190.2418460.4836920.758154
2200.3625410.7250830.637459
2210.3238560.6477130.676144
2220.3242150.6484310.675785
2230.5854550.8290910.414545
2240.5625880.8748240.437412
2250.5260.9479990.474
2260.4949210.9898410.505079
2270.4888590.9777170.511141
2280.4554360.9108720.544564
2290.4301220.8602430.569878
2300.3876060.7752120.612394
2310.5205660.9588670.479434
2320.5218520.9562960.478148
2330.4749170.9498340.525083
2340.4408820.8817630.559118
2350.6191060.7617880.380894
2360.5789520.8420970.421048
2370.5447580.9104830.455242
2380.5179280.9641440.482072
2390.743030.513940.25697
2400.7493920.5012160.250608
2410.7074920.5850150.292508
2420.6752930.6494140.324707
2430.6260260.7479490.373974
2440.6318240.7363510.368176
2450.7162410.5675180.283759
2460.6861470.6277060.313853
2470.6437210.7125580.356279
2480.590360.819280.40964
2490.5346920.9306150.465308
2500.5374970.9250050.462503
2510.4948560.9897120.505144
2520.5172730.9654540.482727
2530.4795720.9591450.520428
2540.4735750.947150.526425
2550.4630080.9260170.536992
2560.4824160.9648320.517584
2570.4445550.889110.555445
2580.3786150.7572290.621385
2590.3157480.6314960.684252
2600.2624560.5249130.737544
2610.2137270.4274540.786273
2620.2297240.4594480.770276
2630.2788320.5576650.721168
2640.2158360.4316720.784164
2650.1677650.335530.832235
2660.2297810.4595620.770219
2670.166560.333120.83344
2680.1276920.2553850.872308
2690.1154720.2309450.884528
2700.08031930.1606390.919681
2710.05035530.1007110.949645
2720.02576030.05152060.97424
2730.4924270.9848530.507573







Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level40.0148699OK
10% type I error level380.141264NOK

\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 & 4 & 0.0148699 & OK \tabularnewline
10% type I error level & 38 & 0.141264 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=264727&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]4[/C][C]0.0148699[/C][C]OK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]38[/C][C]0.141264[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=264727&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=264727&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 level40.0148699OK
10% type I error level380.141264NOK



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