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Author*The author of this computation has been verified*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationWed, 17 Dec 2014 14:54:26 +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/17/t1418828090igr7ijxdoomveoy.htm/, Retrieved Thu, 31 Oct 2024 23:45:09 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=270362, Retrieved Thu, 31 Oct 2024 23:45:09 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact99
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Multiple Regression] [] [2014-12-17 14:54:26] [6d118ae33f5ad8e94ad6fac6c6e53ad2] [Current]
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Dataseries X:
7.5 8
6 18
6.5 12
1 24
1 16
5.5 19
8.5 16
6.5 15
4.5 28
2 21
5 18
0.5 22
5 19
5 22
2.5 25
5 20
5.5 16
3.5 19
3 18
4 26
0.5 24
6.5 20
4.5 19
7.5 19
5.5 23
4 18
7.5 16
7 18
4 21
5.5 20
2.5 15
5.5 19
3.5 19
2.5 7
4.5 20
4.5 20
4.5 19
6 19
2.5 20
5 18
0 14
5 17
6.5 17
5 8
6 9
4.5 22
5.5 20
1 20
7.5 22
6 22
5 22
1 16
5 14
6.5 24
7 21
4.5 20
0 20
8.5 18
3.5 14
7.5 19
3.5 24
6 19
1.5 16
9 16
3.5 16
3.5 14
4 22
6.5 21
7.5 15
6 14
5 15
5.5 14
3.5 20
7.5 21
6.5 14
6.5 16
6.5 13
7 26
3.5 13
1.5 18
4 15
7.5 18
4.5 21
0 17
3.5 18
5.5 20
5 18
4.5 25
2.5 20
7.5 19
7 18
0 12
4.5 22
3 16
1.5 18
3.5 23
2.5 20
5.5 20
8 16
1 22
5 19
4.5 23
3 6
3 19
8 24
2.5 19
7 15
0 18
1 18
3.5 22
5.5 23
5.5 18
0.5 17
7.5 6
9 22
9.5 20
8.5 16
7 16
8 17
10 20
7 23
8.5 18
9 13
9.5 22
4 20
6 20
8 13
5.5 16
9.5 25
7.5 16
7 15
7.5 19
8 19
7 24
7 9
6 22
10 15
2.5 22
9 22
8 24
6 12
8.5 21
6 25
9 26
8 21
9 14
5.5 28
7 21
5.5 16
9 16
2 25
8.5 21
9 22
8.5 9
9 20
7.5 19
10 24
9 22
7.5 22
6 12
10.5 17
8.5 18
8 10
10 22
10.5 24
6.5 18
9.5 18
8.5 23
7.5 21
5 21
8 28
10 17
7 21
7.5 21
7.5 20
9.5 18
6 17
10 7
7 17
3 14
6 18
7 14
10 23
7 20
3.5 14
8 17
10 21
5.5 23
6 24
6.5 21
6.5 14
8.5 24
4 16
9.5 21
8 8
8.5 17
5.5 18
7 17
9 16
8 22
10 17
8 21
6 20
8 20
5 19
9 8
4.5 19
8.5 11
9.5 13
8.5 18
7.5 19
7.5 23
5 20
7 22
8 19
5.5 16
8.5 11
9.5 21
7 14
8 21
8.5 20
3.5 21
6.5 20
6.5 19
10.5 19
8.5 18
8 20
10 21
10 22
9.5 19
9 23
10 16
7.5 23
4.5 18
4.5 23
0.5 20
6.5 20
4.5 23
5.5 13
5 21
6 26
4 18
8 19
10.5 18
6.5 18
8 19
8.5 13
5.5 10
7 21
5 24
3.5 21
5 23
9 18
8.5 11
5 16
9.5 20
3 20
1.5 26
6 21
0.5 12
6.5 15
7.5 18
4.5 14
8 18
9 16
7.5 19
8.5 7
7 21
9.5 24
6.5 21
9.5 20
6 22
8 17
9.5 19
8 20
8 16
9 20
5 16




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

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 9 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=270362&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]9 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=270362&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=270362&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 time9 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net







Multiple Linear Regression - Estimated Regression Equation
Ex[t] = + 6.42456 -0.0129923AMS.I2[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
Ex[t] =  +  6.42456 -0.0129923AMS.I2[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=270362&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]Ex[t] =  +  6.42456 -0.0129923AMS.I2[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=270362&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=270362&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
Ex[t] = + 6.42456 -0.0129923AMS.I2[t] + e[t]







Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)6.424560.7015459.1581.23231e-176.16155e-18
AMS.I2-0.01299230.0369034-0.35210.7250590.36253

\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) & 6.42456 & 0.701545 & 9.158 & 1.23231e-17 & 6.16155e-18 \tabularnewline
AMS.I2 & -0.0129923 & 0.0369034 & -0.3521 & 0.725059 & 0.36253 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=270362&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]6.42456[/C][C]0.701545[/C][C]9.158[/C][C]1.23231e-17[/C][C]6.16155e-18[/C][/ROW]
[ROW][C]AMS.I2[/C][C]-0.0129923[/C][C]0.0369034[/C][C]-0.3521[/C][C]0.725059[/C][C]0.36253[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=270362&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=270362&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)6.424560.7015459.1581.23231e-176.16155e-18
AMS.I2-0.01299230.0369034-0.35210.7250590.36253







Multiple Linear Regression - Regression Statistics
Multiple R0.021187
R-squared0.000448888
Adjusted R-squared-0.00317267
F-TEST (value)0.123949
F-TEST (DF numerator)1
F-TEST (DF denominator)276
p-value0.725059
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.53765
Sum Squared Residuals1777.35

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.021187 \tabularnewline
R-squared & 0.000448888 \tabularnewline
Adjusted R-squared & -0.00317267 \tabularnewline
F-TEST (value) & 0.123949 \tabularnewline
F-TEST (DF numerator) & 1 \tabularnewline
F-TEST (DF denominator) & 276 \tabularnewline
p-value & 0.725059 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 2.53765 \tabularnewline
Sum Squared Residuals & 1777.35 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=270362&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.021187[/C][/ROW]
[ROW][C]R-squared[/C][C]0.000448888[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]-0.00317267[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]0.123949[/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]0.725059[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]2.53765[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]1777.35[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=270362&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=270362&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 R0.021187
R-squared0.000448888
Adjusted R-squared-0.00317267
F-TEST (value)0.123949
F-TEST (DF numerator)1
F-TEST (DF denominator)276
p-value0.725059
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.53765
Sum Squared Residuals1777.35







Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
17.56.320621.17938
266.1907-0.190697
36.56.268650.231349
416.11274-5.11274
516.21668-5.21668
65.56.1777-0.677705
78.56.216682.28332
86.56.229670.270326
94.56.06077-1.56077
1026.15172-4.15172
1156.1907-1.1907
120.56.13873-5.63873
1356.1777-1.1777
1456.13873-1.13873
152.56.09975-3.59975
1656.16471-1.16471
175.56.21668-0.716682
183.56.1777-2.6777
1936.1907-3.1907
2046.08676-2.08676
210.56.11274-5.61274
226.56.164710.335287
234.56.1777-1.6777
247.56.17771.3223
255.56.12574-0.625736
2646.1907-2.1907
277.56.216681.28332
2876.19070.809303
2946.15172-2.15172
305.56.16471-0.664713
312.56.22967-3.72967
325.56.1777-0.677705
333.56.1777-2.6777
342.56.33361-3.83361
354.56.16471-1.66471
364.56.16471-1.66471
374.56.1777-1.6777
3866.1777-0.177705
392.56.16471-3.66471
4056.1907-1.1907
4106.24267-6.24267
4256.20369-1.20369
436.56.203690.296311
4456.32062-1.32062
4566.30763-0.307628
464.56.13873-1.63873
475.56.16471-0.664713
4816.16471-5.16471
497.56.138731.36127
5066.13873-0.138728
5156.13873-1.13873
5216.21668-5.21668
5356.24267-1.24267
546.56.112740.387257
5576.151720.84828
564.56.16471-1.66471
5706.16471-6.16471
588.56.19072.3093
593.56.24267-2.74267
607.56.17771.3223
613.56.11274-2.61274
6266.1777-0.177705
631.56.21668-4.71668
6496.216682.78332
653.56.21668-2.71668
663.56.24267-2.74267
6746.13873-2.13873
686.56.151720.34828
697.56.229671.27033
7066.24267-0.242666
7156.22967-1.22967
725.56.24267-0.742666
733.56.16471-2.66471
747.56.151721.34828
756.56.242670.257334
766.56.216680.283318
776.56.255660.244341
7876.086760.913241
793.56.25566-2.75566
801.56.1907-4.6907
8146.22967-2.22967
827.56.19071.3093
834.56.15172-1.65172
8406.20369-6.20369
853.56.1907-2.6907
865.56.16471-0.664713
8756.1907-1.1907
884.56.09975-1.59975
892.56.16471-3.66471
907.56.17771.3223
9176.19070.809303
9206.26865-6.26865
934.56.13873-1.63873
9436.21668-3.21668
951.56.1907-4.6907
963.56.12574-2.62574
972.56.16471-3.66471
985.56.16471-0.664713
9986.216681.78332
10016.13873-5.13873
10156.1777-1.1777
1024.56.12574-1.62574
10336.34661-3.34661
10436.1777-3.1777
10586.112741.88726
1062.56.1777-3.6777
10776.229670.770326
10806.1907-6.1907
10916.1907-5.1907
1103.56.13873-2.63873
1115.56.12574-0.625736
1125.56.1907-0.690697
1130.56.20369-5.70369
1147.56.346611.15339
11596.138732.86127
1169.56.164713.33529
1178.56.216682.28332
11876.216680.783318
11986.203691.79631
120106.164713.83529
12176.125740.874264
1228.56.19072.3093
12396.255662.74434
1249.56.138733.36127
12546.16471-2.16471
12666.16471-0.164713
12786.255661.74434
1285.56.21668-0.716682
1299.56.099753.40025
1307.56.216681.28332
13176.229670.770326
1327.56.17771.3223
13386.17771.8223
13476.112740.887257
13576.307630.692372
13666.13873-0.138728
137106.229673.77033
1382.56.13873-3.63873
13996.138732.86127
14086.112741.88726
14166.26865-0.268651
1428.56.151722.34828
14366.09975-0.0997509
14496.086762.91324
14586.151721.84828
14696.242672.75733
1475.56.06077-0.560774
14876.151720.84828
1495.56.21668-0.716682
15096.216682.78332
15126.09975-4.09975
1528.56.151722.34828
15396.138732.86127
1548.56.307632.19237
15596.164712.83529
1567.56.17771.3223
157106.112743.88726
15896.138732.86127
1597.56.138731.36127
16066.26865-0.268651
16110.56.203694.29631
1628.56.19072.3093
16386.294641.70536
164106.138733.86127
16510.56.112744.38726
1666.56.19070.309303
1679.56.19073.3093
1688.56.125742.37426
1697.56.151721.34828
17056.15172-1.15172
17186.060771.93923
172106.203693.79631
17376.151720.84828
1747.56.151721.34828
1757.56.164711.33529
1769.56.19073.3093
17766.20369-0.203689
178106.333613.66639
17976.203690.796311
18036.24267-3.24267
18166.1907-0.190697
18276.242670.757334
183106.125743.87426
18476.164710.835287
1853.56.24267-2.74267
18686.203691.79631
187106.151723.84828
1885.56.12574-0.625736
18966.11274-0.112743
1906.56.151720.34828
1916.56.242670.257334
1928.56.112742.38726
19346.21668-2.21668
1949.56.151723.34828
19586.320621.67938
1968.56.203692.29631
1975.56.1907-0.690697
19876.203690.796311
19996.216682.78332
20086.138731.86127
201106.203693.79631
20286.151721.84828
20366.16471-0.164713
20486.164711.83529
20556.1777-1.1777
20696.320622.67938
2074.56.1777-1.6777
2088.56.281642.21836
2099.56.255663.24434
2108.56.19072.3093
2117.56.17771.3223
2127.56.125741.37426
21356.16471-1.16471
21476.138730.861272
21586.17771.8223
2165.56.21668-0.716682
2178.56.281642.21836
2189.56.151723.34828
21976.242670.757334
22086.151721.84828
2218.56.164712.33529
2223.56.15172-2.65172
2236.56.164710.335287
2246.56.17770.322295
22510.56.17774.3223
2268.56.19072.3093
22786.164711.83529
228106.151723.84828
229106.138733.86127
2309.56.17773.3223
23196.125742.87426
232106.216683.78332
2337.56.125741.37426
2344.56.1907-1.6907
2354.56.12574-1.62574
2360.56.16471-5.66471
2376.56.164710.335287
2384.56.12574-1.62574
2395.56.25566-0.755659
24056.15172-1.15172
24166.08676-0.0867585
24246.1907-2.1907
24386.17771.8223
24410.56.19074.3093
2456.56.19070.309303
24686.17771.8223
2478.56.255662.24434
2485.56.29464-0.794636
24976.151720.84828
25056.11274-1.11274
2513.56.15172-2.65172
25256.12574-1.12574
25396.19072.8093
2548.56.281642.21836
25556.21668-1.21668
2569.56.164713.33529
25736.16471-3.16471
2581.56.08676-4.58676
25966.15172-0.15172
2600.56.26865-5.76865
2616.56.229670.270326
2627.56.19071.3093
2634.56.24267-1.74267
26486.19071.8093
26596.216682.78332
2667.56.17771.3223
2678.56.333612.16639
26876.151720.84828
2699.56.112743.38726
2706.56.151720.34828
2719.56.164713.33529
27266.13873-0.138728
27386.203691.79631
2749.56.17773.3223
27586.164711.83529
27686.216681.78332
27796.164712.83529
27856.21668-1.21668

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 7.5 & 6.32062 & 1.17938 \tabularnewline
2 & 6 & 6.1907 & -0.190697 \tabularnewline
3 & 6.5 & 6.26865 & 0.231349 \tabularnewline
4 & 1 & 6.11274 & -5.11274 \tabularnewline
5 & 1 & 6.21668 & -5.21668 \tabularnewline
6 & 5.5 & 6.1777 & -0.677705 \tabularnewline
7 & 8.5 & 6.21668 & 2.28332 \tabularnewline
8 & 6.5 & 6.22967 & 0.270326 \tabularnewline
9 & 4.5 & 6.06077 & -1.56077 \tabularnewline
10 & 2 & 6.15172 & -4.15172 \tabularnewline
11 & 5 & 6.1907 & -1.1907 \tabularnewline
12 & 0.5 & 6.13873 & -5.63873 \tabularnewline
13 & 5 & 6.1777 & -1.1777 \tabularnewline
14 & 5 & 6.13873 & -1.13873 \tabularnewline
15 & 2.5 & 6.09975 & -3.59975 \tabularnewline
16 & 5 & 6.16471 & -1.16471 \tabularnewline
17 & 5.5 & 6.21668 & -0.716682 \tabularnewline
18 & 3.5 & 6.1777 & -2.6777 \tabularnewline
19 & 3 & 6.1907 & -3.1907 \tabularnewline
20 & 4 & 6.08676 & -2.08676 \tabularnewline
21 & 0.5 & 6.11274 & -5.61274 \tabularnewline
22 & 6.5 & 6.16471 & 0.335287 \tabularnewline
23 & 4.5 & 6.1777 & -1.6777 \tabularnewline
24 & 7.5 & 6.1777 & 1.3223 \tabularnewline
25 & 5.5 & 6.12574 & -0.625736 \tabularnewline
26 & 4 & 6.1907 & -2.1907 \tabularnewline
27 & 7.5 & 6.21668 & 1.28332 \tabularnewline
28 & 7 & 6.1907 & 0.809303 \tabularnewline
29 & 4 & 6.15172 & -2.15172 \tabularnewline
30 & 5.5 & 6.16471 & -0.664713 \tabularnewline
31 & 2.5 & 6.22967 & -3.72967 \tabularnewline
32 & 5.5 & 6.1777 & -0.677705 \tabularnewline
33 & 3.5 & 6.1777 & -2.6777 \tabularnewline
34 & 2.5 & 6.33361 & -3.83361 \tabularnewline
35 & 4.5 & 6.16471 & -1.66471 \tabularnewline
36 & 4.5 & 6.16471 & -1.66471 \tabularnewline
37 & 4.5 & 6.1777 & -1.6777 \tabularnewline
38 & 6 & 6.1777 & -0.177705 \tabularnewline
39 & 2.5 & 6.16471 & -3.66471 \tabularnewline
40 & 5 & 6.1907 & -1.1907 \tabularnewline
41 & 0 & 6.24267 & -6.24267 \tabularnewline
42 & 5 & 6.20369 & -1.20369 \tabularnewline
43 & 6.5 & 6.20369 & 0.296311 \tabularnewline
44 & 5 & 6.32062 & -1.32062 \tabularnewline
45 & 6 & 6.30763 & -0.307628 \tabularnewline
46 & 4.5 & 6.13873 & -1.63873 \tabularnewline
47 & 5.5 & 6.16471 & -0.664713 \tabularnewline
48 & 1 & 6.16471 & -5.16471 \tabularnewline
49 & 7.5 & 6.13873 & 1.36127 \tabularnewline
50 & 6 & 6.13873 & -0.138728 \tabularnewline
51 & 5 & 6.13873 & -1.13873 \tabularnewline
52 & 1 & 6.21668 & -5.21668 \tabularnewline
53 & 5 & 6.24267 & -1.24267 \tabularnewline
54 & 6.5 & 6.11274 & 0.387257 \tabularnewline
55 & 7 & 6.15172 & 0.84828 \tabularnewline
56 & 4.5 & 6.16471 & -1.66471 \tabularnewline
57 & 0 & 6.16471 & -6.16471 \tabularnewline
58 & 8.5 & 6.1907 & 2.3093 \tabularnewline
59 & 3.5 & 6.24267 & -2.74267 \tabularnewline
60 & 7.5 & 6.1777 & 1.3223 \tabularnewline
61 & 3.5 & 6.11274 & -2.61274 \tabularnewline
62 & 6 & 6.1777 & -0.177705 \tabularnewline
63 & 1.5 & 6.21668 & -4.71668 \tabularnewline
64 & 9 & 6.21668 & 2.78332 \tabularnewline
65 & 3.5 & 6.21668 & -2.71668 \tabularnewline
66 & 3.5 & 6.24267 & -2.74267 \tabularnewline
67 & 4 & 6.13873 & -2.13873 \tabularnewline
68 & 6.5 & 6.15172 & 0.34828 \tabularnewline
69 & 7.5 & 6.22967 & 1.27033 \tabularnewline
70 & 6 & 6.24267 & -0.242666 \tabularnewline
71 & 5 & 6.22967 & -1.22967 \tabularnewline
72 & 5.5 & 6.24267 & -0.742666 \tabularnewline
73 & 3.5 & 6.16471 & -2.66471 \tabularnewline
74 & 7.5 & 6.15172 & 1.34828 \tabularnewline
75 & 6.5 & 6.24267 & 0.257334 \tabularnewline
76 & 6.5 & 6.21668 & 0.283318 \tabularnewline
77 & 6.5 & 6.25566 & 0.244341 \tabularnewline
78 & 7 & 6.08676 & 0.913241 \tabularnewline
79 & 3.5 & 6.25566 & -2.75566 \tabularnewline
80 & 1.5 & 6.1907 & -4.6907 \tabularnewline
81 & 4 & 6.22967 & -2.22967 \tabularnewline
82 & 7.5 & 6.1907 & 1.3093 \tabularnewline
83 & 4.5 & 6.15172 & -1.65172 \tabularnewline
84 & 0 & 6.20369 & -6.20369 \tabularnewline
85 & 3.5 & 6.1907 & -2.6907 \tabularnewline
86 & 5.5 & 6.16471 & -0.664713 \tabularnewline
87 & 5 & 6.1907 & -1.1907 \tabularnewline
88 & 4.5 & 6.09975 & -1.59975 \tabularnewline
89 & 2.5 & 6.16471 & -3.66471 \tabularnewline
90 & 7.5 & 6.1777 & 1.3223 \tabularnewline
91 & 7 & 6.1907 & 0.809303 \tabularnewline
92 & 0 & 6.26865 & -6.26865 \tabularnewline
93 & 4.5 & 6.13873 & -1.63873 \tabularnewline
94 & 3 & 6.21668 & -3.21668 \tabularnewline
95 & 1.5 & 6.1907 & -4.6907 \tabularnewline
96 & 3.5 & 6.12574 & -2.62574 \tabularnewline
97 & 2.5 & 6.16471 & -3.66471 \tabularnewline
98 & 5.5 & 6.16471 & -0.664713 \tabularnewline
99 & 8 & 6.21668 & 1.78332 \tabularnewline
100 & 1 & 6.13873 & -5.13873 \tabularnewline
101 & 5 & 6.1777 & -1.1777 \tabularnewline
102 & 4.5 & 6.12574 & -1.62574 \tabularnewline
103 & 3 & 6.34661 & -3.34661 \tabularnewline
104 & 3 & 6.1777 & -3.1777 \tabularnewline
105 & 8 & 6.11274 & 1.88726 \tabularnewline
106 & 2.5 & 6.1777 & -3.6777 \tabularnewline
107 & 7 & 6.22967 & 0.770326 \tabularnewline
108 & 0 & 6.1907 & -6.1907 \tabularnewline
109 & 1 & 6.1907 & -5.1907 \tabularnewline
110 & 3.5 & 6.13873 & -2.63873 \tabularnewline
111 & 5.5 & 6.12574 & -0.625736 \tabularnewline
112 & 5.5 & 6.1907 & -0.690697 \tabularnewline
113 & 0.5 & 6.20369 & -5.70369 \tabularnewline
114 & 7.5 & 6.34661 & 1.15339 \tabularnewline
115 & 9 & 6.13873 & 2.86127 \tabularnewline
116 & 9.5 & 6.16471 & 3.33529 \tabularnewline
117 & 8.5 & 6.21668 & 2.28332 \tabularnewline
118 & 7 & 6.21668 & 0.783318 \tabularnewline
119 & 8 & 6.20369 & 1.79631 \tabularnewline
120 & 10 & 6.16471 & 3.83529 \tabularnewline
121 & 7 & 6.12574 & 0.874264 \tabularnewline
122 & 8.5 & 6.1907 & 2.3093 \tabularnewline
123 & 9 & 6.25566 & 2.74434 \tabularnewline
124 & 9.5 & 6.13873 & 3.36127 \tabularnewline
125 & 4 & 6.16471 & -2.16471 \tabularnewline
126 & 6 & 6.16471 & -0.164713 \tabularnewline
127 & 8 & 6.25566 & 1.74434 \tabularnewline
128 & 5.5 & 6.21668 & -0.716682 \tabularnewline
129 & 9.5 & 6.09975 & 3.40025 \tabularnewline
130 & 7.5 & 6.21668 & 1.28332 \tabularnewline
131 & 7 & 6.22967 & 0.770326 \tabularnewline
132 & 7.5 & 6.1777 & 1.3223 \tabularnewline
133 & 8 & 6.1777 & 1.8223 \tabularnewline
134 & 7 & 6.11274 & 0.887257 \tabularnewline
135 & 7 & 6.30763 & 0.692372 \tabularnewline
136 & 6 & 6.13873 & -0.138728 \tabularnewline
137 & 10 & 6.22967 & 3.77033 \tabularnewline
138 & 2.5 & 6.13873 & -3.63873 \tabularnewline
139 & 9 & 6.13873 & 2.86127 \tabularnewline
140 & 8 & 6.11274 & 1.88726 \tabularnewline
141 & 6 & 6.26865 & -0.268651 \tabularnewline
142 & 8.5 & 6.15172 & 2.34828 \tabularnewline
143 & 6 & 6.09975 & -0.0997509 \tabularnewline
144 & 9 & 6.08676 & 2.91324 \tabularnewline
145 & 8 & 6.15172 & 1.84828 \tabularnewline
146 & 9 & 6.24267 & 2.75733 \tabularnewline
147 & 5.5 & 6.06077 & -0.560774 \tabularnewline
148 & 7 & 6.15172 & 0.84828 \tabularnewline
149 & 5.5 & 6.21668 & -0.716682 \tabularnewline
150 & 9 & 6.21668 & 2.78332 \tabularnewline
151 & 2 & 6.09975 & -4.09975 \tabularnewline
152 & 8.5 & 6.15172 & 2.34828 \tabularnewline
153 & 9 & 6.13873 & 2.86127 \tabularnewline
154 & 8.5 & 6.30763 & 2.19237 \tabularnewline
155 & 9 & 6.16471 & 2.83529 \tabularnewline
156 & 7.5 & 6.1777 & 1.3223 \tabularnewline
157 & 10 & 6.11274 & 3.88726 \tabularnewline
158 & 9 & 6.13873 & 2.86127 \tabularnewline
159 & 7.5 & 6.13873 & 1.36127 \tabularnewline
160 & 6 & 6.26865 & -0.268651 \tabularnewline
161 & 10.5 & 6.20369 & 4.29631 \tabularnewline
162 & 8.5 & 6.1907 & 2.3093 \tabularnewline
163 & 8 & 6.29464 & 1.70536 \tabularnewline
164 & 10 & 6.13873 & 3.86127 \tabularnewline
165 & 10.5 & 6.11274 & 4.38726 \tabularnewline
166 & 6.5 & 6.1907 & 0.309303 \tabularnewline
167 & 9.5 & 6.1907 & 3.3093 \tabularnewline
168 & 8.5 & 6.12574 & 2.37426 \tabularnewline
169 & 7.5 & 6.15172 & 1.34828 \tabularnewline
170 & 5 & 6.15172 & -1.15172 \tabularnewline
171 & 8 & 6.06077 & 1.93923 \tabularnewline
172 & 10 & 6.20369 & 3.79631 \tabularnewline
173 & 7 & 6.15172 & 0.84828 \tabularnewline
174 & 7.5 & 6.15172 & 1.34828 \tabularnewline
175 & 7.5 & 6.16471 & 1.33529 \tabularnewline
176 & 9.5 & 6.1907 & 3.3093 \tabularnewline
177 & 6 & 6.20369 & -0.203689 \tabularnewline
178 & 10 & 6.33361 & 3.66639 \tabularnewline
179 & 7 & 6.20369 & 0.796311 \tabularnewline
180 & 3 & 6.24267 & -3.24267 \tabularnewline
181 & 6 & 6.1907 & -0.190697 \tabularnewline
182 & 7 & 6.24267 & 0.757334 \tabularnewline
183 & 10 & 6.12574 & 3.87426 \tabularnewline
184 & 7 & 6.16471 & 0.835287 \tabularnewline
185 & 3.5 & 6.24267 & -2.74267 \tabularnewline
186 & 8 & 6.20369 & 1.79631 \tabularnewline
187 & 10 & 6.15172 & 3.84828 \tabularnewline
188 & 5.5 & 6.12574 & -0.625736 \tabularnewline
189 & 6 & 6.11274 & -0.112743 \tabularnewline
190 & 6.5 & 6.15172 & 0.34828 \tabularnewline
191 & 6.5 & 6.24267 & 0.257334 \tabularnewline
192 & 8.5 & 6.11274 & 2.38726 \tabularnewline
193 & 4 & 6.21668 & -2.21668 \tabularnewline
194 & 9.5 & 6.15172 & 3.34828 \tabularnewline
195 & 8 & 6.32062 & 1.67938 \tabularnewline
196 & 8.5 & 6.20369 & 2.29631 \tabularnewline
197 & 5.5 & 6.1907 & -0.690697 \tabularnewline
198 & 7 & 6.20369 & 0.796311 \tabularnewline
199 & 9 & 6.21668 & 2.78332 \tabularnewline
200 & 8 & 6.13873 & 1.86127 \tabularnewline
201 & 10 & 6.20369 & 3.79631 \tabularnewline
202 & 8 & 6.15172 & 1.84828 \tabularnewline
203 & 6 & 6.16471 & -0.164713 \tabularnewline
204 & 8 & 6.16471 & 1.83529 \tabularnewline
205 & 5 & 6.1777 & -1.1777 \tabularnewline
206 & 9 & 6.32062 & 2.67938 \tabularnewline
207 & 4.5 & 6.1777 & -1.6777 \tabularnewline
208 & 8.5 & 6.28164 & 2.21836 \tabularnewline
209 & 9.5 & 6.25566 & 3.24434 \tabularnewline
210 & 8.5 & 6.1907 & 2.3093 \tabularnewline
211 & 7.5 & 6.1777 & 1.3223 \tabularnewline
212 & 7.5 & 6.12574 & 1.37426 \tabularnewline
213 & 5 & 6.16471 & -1.16471 \tabularnewline
214 & 7 & 6.13873 & 0.861272 \tabularnewline
215 & 8 & 6.1777 & 1.8223 \tabularnewline
216 & 5.5 & 6.21668 & -0.716682 \tabularnewline
217 & 8.5 & 6.28164 & 2.21836 \tabularnewline
218 & 9.5 & 6.15172 & 3.34828 \tabularnewline
219 & 7 & 6.24267 & 0.757334 \tabularnewline
220 & 8 & 6.15172 & 1.84828 \tabularnewline
221 & 8.5 & 6.16471 & 2.33529 \tabularnewline
222 & 3.5 & 6.15172 & -2.65172 \tabularnewline
223 & 6.5 & 6.16471 & 0.335287 \tabularnewline
224 & 6.5 & 6.1777 & 0.322295 \tabularnewline
225 & 10.5 & 6.1777 & 4.3223 \tabularnewline
226 & 8.5 & 6.1907 & 2.3093 \tabularnewline
227 & 8 & 6.16471 & 1.83529 \tabularnewline
228 & 10 & 6.15172 & 3.84828 \tabularnewline
229 & 10 & 6.13873 & 3.86127 \tabularnewline
230 & 9.5 & 6.1777 & 3.3223 \tabularnewline
231 & 9 & 6.12574 & 2.87426 \tabularnewline
232 & 10 & 6.21668 & 3.78332 \tabularnewline
233 & 7.5 & 6.12574 & 1.37426 \tabularnewline
234 & 4.5 & 6.1907 & -1.6907 \tabularnewline
235 & 4.5 & 6.12574 & -1.62574 \tabularnewline
236 & 0.5 & 6.16471 & -5.66471 \tabularnewline
237 & 6.5 & 6.16471 & 0.335287 \tabularnewline
238 & 4.5 & 6.12574 & -1.62574 \tabularnewline
239 & 5.5 & 6.25566 & -0.755659 \tabularnewline
240 & 5 & 6.15172 & -1.15172 \tabularnewline
241 & 6 & 6.08676 & -0.0867585 \tabularnewline
242 & 4 & 6.1907 & -2.1907 \tabularnewline
243 & 8 & 6.1777 & 1.8223 \tabularnewline
244 & 10.5 & 6.1907 & 4.3093 \tabularnewline
245 & 6.5 & 6.1907 & 0.309303 \tabularnewline
246 & 8 & 6.1777 & 1.8223 \tabularnewline
247 & 8.5 & 6.25566 & 2.24434 \tabularnewline
248 & 5.5 & 6.29464 & -0.794636 \tabularnewline
249 & 7 & 6.15172 & 0.84828 \tabularnewline
250 & 5 & 6.11274 & -1.11274 \tabularnewline
251 & 3.5 & 6.15172 & -2.65172 \tabularnewline
252 & 5 & 6.12574 & -1.12574 \tabularnewline
253 & 9 & 6.1907 & 2.8093 \tabularnewline
254 & 8.5 & 6.28164 & 2.21836 \tabularnewline
255 & 5 & 6.21668 & -1.21668 \tabularnewline
256 & 9.5 & 6.16471 & 3.33529 \tabularnewline
257 & 3 & 6.16471 & -3.16471 \tabularnewline
258 & 1.5 & 6.08676 & -4.58676 \tabularnewline
259 & 6 & 6.15172 & -0.15172 \tabularnewline
260 & 0.5 & 6.26865 & -5.76865 \tabularnewline
261 & 6.5 & 6.22967 & 0.270326 \tabularnewline
262 & 7.5 & 6.1907 & 1.3093 \tabularnewline
263 & 4.5 & 6.24267 & -1.74267 \tabularnewline
264 & 8 & 6.1907 & 1.8093 \tabularnewline
265 & 9 & 6.21668 & 2.78332 \tabularnewline
266 & 7.5 & 6.1777 & 1.3223 \tabularnewline
267 & 8.5 & 6.33361 & 2.16639 \tabularnewline
268 & 7 & 6.15172 & 0.84828 \tabularnewline
269 & 9.5 & 6.11274 & 3.38726 \tabularnewline
270 & 6.5 & 6.15172 & 0.34828 \tabularnewline
271 & 9.5 & 6.16471 & 3.33529 \tabularnewline
272 & 6 & 6.13873 & -0.138728 \tabularnewline
273 & 8 & 6.20369 & 1.79631 \tabularnewline
274 & 9.5 & 6.1777 & 3.3223 \tabularnewline
275 & 8 & 6.16471 & 1.83529 \tabularnewline
276 & 8 & 6.21668 & 1.78332 \tabularnewline
277 & 9 & 6.16471 & 2.83529 \tabularnewline
278 & 5 & 6.21668 & -1.21668 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=270362&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]7.5[/C][C]6.32062[/C][C]1.17938[/C][/ROW]
[ROW][C]2[/C][C]6[/C][C]6.1907[/C][C]-0.190697[/C][/ROW]
[ROW][C]3[/C][C]6.5[/C][C]6.26865[/C][C]0.231349[/C][/ROW]
[ROW][C]4[/C][C]1[/C][C]6.11274[/C][C]-5.11274[/C][/ROW]
[ROW][C]5[/C][C]1[/C][C]6.21668[/C][C]-5.21668[/C][/ROW]
[ROW][C]6[/C][C]5.5[/C][C]6.1777[/C][C]-0.677705[/C][/ROW]
[ROW][C]7[/C][C]8.5[/C][C]6.21668[/C][C]2.28332[/C][/ROW]
[ROW][C]8[/C][C]6.5[/C][C]6.22967[/C][C]0.270326[/C][/ROW]
[ROW][C]9[/C][C]4.5[/C][C]6.06077[/C][C]-1.56077[/C][/ROW]
[ROW][C]10[/C][C]2[/C][C]6.15172[/C][C]-4.15172[/C][/ROW]
[ROW][C]11[/C][C]5[/C][C]6.1907[/C][C]-1.1907[/C][/ROW]
[ROW][C]12[/C][C]0.5[/C][C]6.13873[/C][C]-5.63873[/C][/ROW]
[ROW][C]13[/C][C]5[/C][C]6.1777[/C][C]-1.1777[/C][/ROW]
[ROW][C]14[/C][C]5[/C][C]6.13873[/C][C]-1.13873[/C][/ROW]
[ROW][C]15[/C][C]2.5[/C][C]6.09975[/C][C]-3.59975[/C][/ROW]
[ROW][C]16[/C][C]5[/C][C]6.16471[/C][C]-1.16471[/C][/ROW]
[ROW][C]17[/C][C]5.5[/C][C]6.21668[/C][C]-0.716682[/C][/ROW]
[ROW][C]18[/C][C]3.5[/C][C]6.1777[/C][C]-2.6777[/C][/ROW]
[ROW][C]19[/C][C]3[/C][C]6.1907[/C][C]-3.1907[/C][/ROW]
[ROW][C]20[/C][C]4[/C][C]6.08676[/C][C]-2.08676[/C][/ROW]
[ROW][C]21[/C][C]0.5[/C][C]6.11274[/C][C]-5.61274[/C][/ROW]
[ROW][C]22[/C][C]6.5[/C][C]6.16471[/C][C]0.335287[/C][/ROW]
[ROW][C]23[/C][C]4.5[/C][C]6.1777[/C][C]-1.6777[/C][/ROW]
[ROW][C]24[/C][C]7.5[/C][C]6.1777[/C][C]1.3223[/C][/ROW]
[ROW][C]25[/C][C]5.5[/C][C]6.12574[/C][C]-0.625736[/C][/ROW]
[ROW][C]26[/C][C]4[/C][C]6.1907[/C][C]-2.1907[/C][/ROW]
[ROW][C]27[/C][C]7.5[/C][C]6.21668[/C][C]1.28332[/C][/ROW]
[ROW][C]28[/C][C]7[/C][C]6.1907[/C][C]0.809303[/C][/ROW]
[ROW][C]29[/C][C]4[/C][C]6.15172[/C][C]-2.15172[/C][/ROW]
[ROW][C]30[/C][C]5.5[/C][C]6.16471[/C][C]-0.664713[/C][/ROW]
[ROW][C]31[/C][C]2.5[/C][C]6.22967[/C][C]-3.72967[/C][/ROW]
[ROW][C]32[/C][C]5.5[/C][C]6.1777[/C][C]-0.677705[/C][/ROW]
[ROW][C]33[/C][C]3.5[/C][C]6.1777[/C][C]-2.6777[/C][/ROW]
[ROW][C]34[/C][C]2.5[/C][C]6.33361[/C][C]-3.83361[/C][/ROW]
[ROW][C]35[/C][C]4.5[/C][C]6.16471[/C][C]-1.66471[/C][/ROW]
[ROW][C]36[/C][C]4.5[/C][C]6.16471[/C][C]-1.66471[/C][/ROW]
[ROW][C]37[/C][C]4.5[/C][C]6.1777[/C][C]-1.6777[/C][/ROW]
[ROW][C]38[/C][C]6[/C][C]6.1777[/C][C]-0.177705[/C][/ROW]
[ROW][C]39[/C][C]2.5[/C][C]6.16471[/C][C]-3.66471[/C][/ROW]
[ROW][C]40[/C][C]5[/C][C]6.1907[/C][C]-1.1907[/C][/ROW]
[ROW][C]41[/C][C]0[/C][C]6.24267[/C][C]-6.24267[/C][/ROW]
[ROW][C]42[/C][C]5[/C][C]6.20369[/C][C]-1.20369[/C][/ROW]
[ROW][C]43[/C][C]6.5[/C][C]6.20369[/C][C]0.296311[/C][/ROW]
[ROW][C]44[/C][C]5[/C][C]6.32062[/C][C]-1.32062[/C][/ROW]
[ROW][C]45[/C][C]6[/C][C]6.30763[/C][C]-0.307628[/C][/ROW]
[ROW][C]46[/C][C]4.5[/C][C]6.13873[/C][C]-1.63873[/C][/ROW]
[ROW][C]47[/C][C]5.5[/C][C]6.16471[/C][C]-0.664713[/C][/ROW]
[ROW][C]48[/C][C]1[/C][C]6.16471[/C][C]-5.16471[/C][/ROW]
[ROW][C]49[/C][C]7.5[/C][C]6.13873[/C][C]1.36127[/C][/ROW]
[ROW][C]50[/C][C]6[/C][C]6.13873[/C][C]-0.138728[/C][/ROW]
[ROW][C]51[/C][C]5[/C][C]6.13873[/C][C]-1.13873[/C][/ROW]
[ROW][C]52[/C][C]1[/C][C]6.21668[/C][C]-5.21668[/C][/ROW]
[ROW][C]53[/C][C]5[/C][C]6.24267[/C][C]-1.24267[/C][/ROW]
[ROW][C]54[/C][C]6.5[/C][C]6.11274[/C][C]0.387257[/C][/ROW]
[ROW][C]55[/C][C]7[/C][C]6.15172[/C][C]0.84828[/C][/ROW]
[ROW][C]56[/C][C]4.5[/C][C]6.16471[/C][C]-1.66471[/C][/ROW]
[ROW][C]57[/C][C]0[/C][C]6.16471[/C][C]-6.16471[/C][/ROW]
[ROW][C]58[/C][C]8.5[/C][C]6.1907[/C][C]2.3093[/C][/ROW]
[ROW][C]59[/C][C]3.5[/C][C]6.24267[/C][C]-2.74267[/C][/ROW]
[ROW][C]60[/C][C]7.5[/C][C]6.1777[/C][C]1.3223[/C][/ROW]
[ROW][C]61[/C][C]3.5[/C][C]6.11274[/C][C]-2.61274[/C][/ROW]
[ROW][C]62[/C][C]6[/C][C]6.1777[/C][C]-0.177705[/C][/ROW]
[ROW][C]63[/C][C]1.5[/C][C]6.21668[/C][C]-4.71668[/C][/ROW]
[ROW][C]64[/C][C]9[/C][C]6.21668[/C][C]2.78332[/C][/ROW]
[ROW][C]65[/C][C]3.5[/C][C]6.21668[/C][C]-2.71668[/C][/ROW]
[ROW][C]66[/C][C]3.5[/C][C]6.24267[/C][C]-2.74267[/C][/ROW]
[ROW][C]67[/C][C]4[/C][C]6.13873[/C][C]-2.13873[/C][/ROW]
[ROW][C]68[/C][C]6.5[/C][C]6.15172[/C][C]0.34828[/C][/ROW]
[ROW][C]69[/C][C]7.5[/C][C]6.22967[/C][C]1.27033[/C][/ROW]
[ROW][C]70[/C][C]6[/C][C]6.24267[/C][C]-0.242666[/C][/ROW]
[ROW][C]71[/C][C]5[/C][C]6.22967[/C][C]-1.22967[/C][/ROW]
[ROW][C]72[/C][C]5.5[/C][C]6.24267[/C][C]-0.742666[/C][/ROW]
[ROW][C]73[/C][C]3.5[/C][C]6.16471[/C][C]-2.66471[/C][/ROW]
[ROW][C]74[/C][C]7.5[/C][C]6.15172[/C][C]1.34828[/C][/ROW]
[ROW][C]75[/C][C]6.5[/C][C]6.24267[/C][C]0.257334[/C][/ROW]
[ROW][C]76[/C][C]6.5[/C][C]6.21668[/C][C]0.283318[/C][/ROW]
[ROW][C]77[/C][C]6.5[/C][C]6.25566[/C][C]0.244341[/C][/ROW]
[ROW][C]78[/C][C]7[/C][C]6.08676[/C][C]0.913241[/C][/ROW]
[ROW][C]79[/C][C]3.5[/C][C]6.25566[/C][C]-2.75566[/C][/ROW]
[ROW][C]80[/C][C]1.5[/C][C]6.1907[/C][C]-4.6907[/C][/ROW]
[ROW][C]81[/C][C]4[/C][C]6.22967[/C][C]-2.22967[/C][/ROW]
[ROW][C]82[/C][C]7.5[/C][C]6.1907[/C][C]1.3093[/C][/ROW]
[ROW][C]83[/C][C]4.5[/C][C]6.15172[/C][C]-1.65172[/C][/ROW]
[ROW][C]84[/C][C]0[/C][C]6.20369[/C][C]-6.20369[/C][/ROW]
[ROW][C]85[/C][C]3.5[/C][C]6.1907[/C][C]-2.6907[/C][/ROW]
[ROW][C]86[/C][C]5.5[/C][C]6.16471[/C][C]-0.664713[/C][/ROW]
[ROW][C]87[/C][C]5[/C][C]6.1907[/C][C]-1.1907[/C][/ROW]
[ROW][C]88[/C][C]4.5[/C][C]6.09975[/C][C]-1.59975[/C][/ROW]
[ROW][C]89[/C][C]2.5[/C][C]6.16471[/C][C]-3.66471[/C][/ROW]
[ROW][C]90[/C][C]7.5[/C][C]6.1777[/C][C]1.3223[/C][/ROW]
[ROW][C]91[/C][C]7[/C][C]6.1907[/C][C]0.809303[/C][/ROW]
[ROW][C]92[/C][C]0[/C][C]6.26865[/C][C]-6.26865[/C][/ROW]
[ROW][C]93[/C][C]4.5[/C][C]6.13873[/C][C]-1.63873[/C][/ROW]
[ROW][C]94[/C][C]3[/C][C]6.21668[/C][C]-3.21668[/C][/ROW]
[ROW][C]95[/C][C]1.5[/C][C]6.1907[/C][C]-4.6907[/C][/ROW]
[ROW][C]96[/C][C]3.5[/C][C]6.12574[/C][C]-2.62574[/C][/ROW]
[ROW][C]97[/C][C]2.5[/C][C]6.16471[/C][C]-3.66471[/C][/ROW]
[ROW][C]98[/C][C]5.5[/C][C]6.16471[/C][C]-0.664713[/C][/ROW]
[ROW][C]99[/C][C]8[/C][C]6.21668[/C][C]1.78332[/C][/ROW]
[ROW][C]100[/C][C]1[/C][C]6.13873[/C][C]-5.13873[/C][/ROW]
[ROW][C]101[/C][C]5[/C][C]6.1777[/C][C]-1.1777[/C][/ROW]
[ROW][C]102[/C][C]4.5[/C][C]6.12574[/C][C]-1.62574[/C][/ROW]
[ROW][C]103[/C][C]3[/C][C]6.34661[/C][C]-3.34661[/C][/ROW]
[ROW][C]104[/C][C]3[/C][C]6.1777[/C][C]-3.1777[/C][/ROW]
[ROW][C]105[/C][C]8[/C][C]6.11274[/C][C]1.88726[/C][/ROW]
[ROW][C]106[/C][C]2.5[/C][C]6.1777[/C][C]-3.6777[/C][/ROW]
[ROW][C]107[/C][C]7[/C][C]6.22967[/C][C]0.770326[/C][/ROW]
[ROW][C]108[/C][C]0[/C][C]6.1907[/C][C]-6.1907[/C][/ROW]
[ROW][C]109[/C][C]1[/C][C]6.1907[/C][C]-5.1907[/C][/ROW]
[ROW][C]110[/C][C]3.5[/C][C]6.13873[/C][C]-2.63873[/C][/ROW]
[ROW][C]111[/C][C]5.5[/C][C]6.12574[/C][C]-0.625736[/C][/ROW]
[ROW][C]112[/C][C]5.5[/C][C]6.1907[/C][C]-0.690697[/C][/ROW]
[ROW][C]113[/C][C]0.5[/C][C]6.20369[/C][C]-5.70369[/C][/ROW]
[ROW][C]114[/C][C]7.5[/C][C]6.34661[/C][C]1.15339[/C][/ROW]
[ROW][C]115[/C][C]9[/C][C]6.13873[/C][C]2.86127[/C][/ROW]
[ROW][C]116[/C][C]9.5[/C][C]6.16471[/C][C]3.33529[/C][/ROW]
[ROW][C]117[/C][C]8.5[/C][C]6.21668[/C][C]2.28332[/C][/ROW]
[ROW][C]118[/C][C]7[/C][C]6.21668[/C][C]0.783318[/C][/ROW]
[ROW][C]119[/C][C]8[/C][C]6.20369[/C][C]1.79631[/C][/ROW]
[ROW][C]120[/C][C]10[/C][C]6.16471[/C][C]3.83529[/C][/ROW]
[ROW][C]121[/C][C]7[/C][C]6.12574[/C][C]0.874264[/C][/ROW]
[ROW][C]122[/C][C]8.5[/C][C]6.1907[/C][C]2.3093[/C][/ROW]
[ROW][C]123[/C][C]9[/C][C]6.25566[/C][C]2.74434[/C][/ROW]
[ROW][C]124[/C][C]9.5[/C][C]6.13873[/C][C]3.36127[/C][/ROW]
[ROW][C]125[/C][C]4[/C][C]6.16471[/C][C]-2.16471[/C][/ROW]
[ROW][C]126[/C][C]6[/C][C]6.16471[/C][C]-0.164713[/C][/ROW]
[ROW][C]127[/C][C]8[/C][C]6.25566[/C][C]1.74434[/C][/ROW]
[ROW][C]128[/C][C]5.5[/C][C]6.21668[/C][C]-0.716682[/C][/ROW]
[ROW][C]129[/C][C]9.5[/C][C]6.09975[/C][C]3.40025[/C][/ROW]
[ROW][C]130[/C][C]7.5[/C][C]6.21668[/C][C]1.28332[/C][/ROW]
[ROW][C]131[/C][C]7[/C][C]6.22967[/C][C]0.770326[/C][/ROW]
[ROW][C]132[/C][C]7.5[/C][C]6.1777[/C][C]1.3223[/C][/ROW]
[ROW][C]133[/C][C]8[/C][C]6.1777[/C][C]1.8223[/C][/ROW]
[ROW][C]134[/C][C]7[/C][C]6.11274[/C][C]0.887257[/C][/ROW]
[ROW][C]135[/C][C]7[/C][C]6.30763[/C][C]0.692372[/C][/ROW]
[ROW][C]136[/C][C]6[/C][C]6.13873[/C][C]-0.138728[/C][/ROW]
[ROW][C]137[/C][C]10[/C][C]6.22967[/C][C]3.77033[/C][/ROW]
[ROW][C]138[/C][C]2.5[/C][C]6.13873[/C][C]-3.63873[/C][/ROW]
[ROW][C]139[/C][C]9[/C][C]6.13873[/C][C]2.86127[/C][/ROW]
[ROW][C]140[/C][C]8[/C][C]6.11274[/C][C]1.88726[/C][/ROW]
[ROW][C]141[/C][C]6[/C][C]6.26865[/C][C]-0.268651[/C][/ROW]
[ROW][C]142[/C][C]8.5[/C][C]6.15172[/C][C]2.34828[/C][/ROW]
[ROW][C]143[/C][C]6[/C][C]6.09975[/C][C]-0.0997509[/C][/ROW]
[ROW][C]144[/C][C]9[/C][C]6.08676[/C][C]2.91324[/C][/ROW]
[ROW][C]145[/C][C]8[/C][C]6.15172[/C][C]1.84828[/C][/ROW]
[ROW][C]146[/C][C]9[/C][C]6.24267[/C][C]2.75733[/C][/ROW]
[ROW][C]147[/C][C]5.5[/C][C]6.06077[/C][C]-0.560774[/C][/ROW]
[ROW][C]148[/C][C]7[/C][C]6.15172[/C][C]0.84828[/C][/ROW]
[ROW][C]149[/C][C]5.5[/C][C]6.21668[/C][C]-0.716682[/C][/ROW]
[ROW][C]150[/C][C]9[/C][C]6.21668[/C][C]2.78332[/C][/ROW]
[ROW][C]151[/C][C]2[/C][C]6.09975[/C][C]-4.09975[/C][/ROW]
[ROW][C]152[/C][C]8.5[/C][C]6.15172[/C][C]2.34828[/C][/ROW]
[ROW][C]153[/C][C]9[/C][C]6.13873[/C][C]2.86127[/C][/ROW]
[ROW][C]154[/C][C]8.5[/C][C]6.30763[/C][C]2.19237[/C][/ROW]
[ROW][C]155[/C][C]9[/C][C]6.16471[/C][C]2.83529[/C][/ROW]
[ROW][C]156[/C][C]7.5[/C][C]6.1777[/C][C]1.3223[/C][/ROW]
[ROW][C]157[/C][C]10[/C][C]6.11274[/C][C]3.88726[/C][/ROW]
[ROW][C]158[/C][C]9[/C][C]6.13873[/C][C]2.86127[/C][/ROW]
[ROW][C]159[/C][C]7.5[/C][C]6.13873[/C][C]1.36127[/C][/ROW]
[ROW][C]160[/C][C]6[/C][C]6.26865[/C][C]-0.268651[/C][/ROW]
[ROW][C]161[/C][C]10.5[/C][C]6.20369[/C][C]4.29631[/C][/ROW]
[ROW][C]162[/C][C]8.5[/C][C]6.1907[/C][C]2.3093[/C][/ROW]
[ROW][C]163[/C][C]8[/C][C]6.29464[/C][C]1.70536[/C][/ROW]
[ROW][C]164[/C][C]10[/C][C]6.13873[/C][C]3.86127[/C][/ROW]
[ROW][C]165[/C][C]10.5[/C][C]6.11274[/C][C]4.38726[/C][/ROW]
[ROW][C]166[/C][C]6.5[/C][C]6.1907[/C][C]0.309303[/C][/ROW]
[ROW][C]167[/C][C]9.5[/C][C]6.1907[/C][C]3.3093[/C][/ROW]
[ROW][C]168[/C][C]8.5[/C][C]6.12574[/C][C]2.37426[/C][/ROW]
[ROW][C]169[/C][C]7.5[/C][C]6.15172[/C][C]1.34828[/C][/ROW]
[ROW][C]170[/C][C]5[/C][C]6.15172[/C][C]-1.15172[/C][/ROW]
[ROW][C]171[/C][C]8[/C][C]6.06077[/C][C]1.93923[/C][/ROW]
[ROW][C]172[/C][C]10[/C][C]6.20369[/C][C]3.79631[/C][/ROW]
[ROW][C]173[/C][C]7[/C][C]6.15172[/C][C]0.84828[/C][/ROW]
[ROW][C]174[/C][C]7.5[/C][C]6.15172[/C][C]1.34828[/C][/ROW]
[ROW][C]175[/C][C]7.5[/C][C]6.16471[/C][C]1.33529[/C][/ROW]
[ROW][C]176[/C][C]9.5[/C][C]6.1907[/C][C]3.3093[/C][/ROW]
[ROW][C]177[/C][C]6[/C][C]6.20369[/C][C]-0.203689[/C][/ROW]
[ROW][C]178[/C][C]10[/C][C]6.33361[/C][C]3.66639[/C][/ROW]
[ROW][C]179[/C][C]7[/C][C]6.20369[/C][C]0.796311[/C][/ROW]
[ROW][C]180[/C][C]3[/C][C]6.24267[/C][C]-3.24267[/C][/ROW]
[ROW][C]181[/C][C]6[/C][C]6.1907[/C][C]-0.190697[/C][/ROW]
[ROW][C]182[/C][C]7[/C][C]6.24267[/C][C]0.757334[/C][/ROW]
[ROW][C]183[/C][C]10[/C][C]6.12574[/C][C]3.87426[/C][/ROW]
[ROW][C]184[/C][C]7[/C][C]6.16471[/C][C]0.835287[/C][/ROW]
[ROW][C]185[/C][C]3.5[/C][C]6.24267[/C][C]-2.74267[/C][/ROW]
[ROW][C]186[/C][C]8[/C][C]6.20369[/C][C]1.79631[/C][/ROW]
[ROW][C]187[/C][C]10[/C][C]6.15172[/C][C]3.84828[/C][/ROW]
[ROW][C]188[/C][C]5.5[/C][C]6.12574[/C][C]-0.625736[/C][/ROW]
[ROW][C]189[/C][C]6[/C][C]6.11274[/C][C]-0.112743[/C][/ROW]
[ROW][C]190[/C][C]6.5[/C][C]6.15172[/C][C]0.34828[/C][/ROW]
[ROW][C]191[/C][C]6.5[/C][C]6.24267[/C][C]0.257334[/C][/ROW]
[ROW][C]192[/C][C]8.5[/C][C]6.11274[/C][C]2.38726[/C][/ROW]
[ROW][C]193[/C][C]4[/C][C]6.21668[/C][C]-2.21668[/C][/ROW]
[ROW][C]194[/C][C]9.5[/C][C]6.15172[/C][C]3.34828[/C][/ROW]
[ROW][C]195[/C][C]8[/C][C]6.32062[/C][C]1.67938[/C][/ROW]
[ROW][C]196[/C][C]8.5[/C][C]6.20369[/C][C]2.29631[/C][/ROW]
[ROW][C]197[/C][C]5.5[/C][C]6.1907[/C][C]-0.690697[/C][/ROW]
[ROW][C]198[/C][C]7[/C][C]6.20369[/C][C]0.796311[/C][/ROW]
[ROW][C]199[/C][C]9[/C][C]6.21668[/C][C]2.78332[/C][/ROW]
[ROW][C]200[/C][C]8[/C][C]6.13873[/C][C]1.86127[/C][/ROW]
[ROW][C]201[/C][C]10[/C][C]6.20369[/C][C]3.79631[/C][/ROW]
[ROW][C]202[/C][C]8[/C][C]6.15172[/C][C]1.84828[/C][/ROW]
[ROW][C]203[/C][C]6[/C][C]6.16471[/C][C]-0.164713[/C][/ROW]
[ROW][C]204[/C][C]8[/C][C]6.16471[/C][C]1.83529[/C][/ROW]
[ROW][C]205[/C][C]5[/C][C]6.1777[/C][C]-1.1777[/C][/ROW]
[ROW][C]206[/C][C]9[/C][C]6.32062[/C][C]2.67938[/C][/ROW]
[ROW][C]207[/C][C]4.5[/C][C]6.1777[/C][C]-1.6777[/C][/ROW]
[ROW][C]208[/C][C]8.5[/C][C]6.28164[/C][C]2.21836[/C][/ROW]
[ROW][C]209[/C][C]9.5[/C][C]6.25566[/C][C]3.24434[/C][/ROW]
[ROW][C]210[/C][C]8.5[/C][C]6.1907[/C][C]2.3093[/C][/ROW]
[ROW][C]211[/C][C]7.5[/C][C]6.1777[/C][C]1.3223[/C][/ROW]
[ROW][C]212[/C][C]7.5[/C][C]6.12574[/C][C]1.37426[/C][/ROW]
[ROW][C]213[/C][C]5[/C][C]6.16471[/C][C]-1.16471[/C][/ROW]
[ROW][C]214[/C][C]7[/C][C]6.13873[/C][C]0.861272[/C][/ROW]
[ROW][C]215[/C][C]8[/C][C]6.1777[/C][C]1.8223[/C][/ROW]
[ROW][C]216[/C][C]5.5[/C][C]6.21668[/C][C]-0.716682[/C][/ROW]
[ROW][C]217[/C][C]8.5[/C][C]6.28164[/C][C]2.21836[/C][/ROW]
[ROW][C]218[/C][C]9.5[/C][C]6.15172[/C][C]3.34828[/C][/ROW]
[ROW][C]219[/C][C]7[/C][C]6.24267[/C][C]0.757334[/C][/ROW]
[ROW][C]220[/C][C]8[/C][C]6.15172[/C][C]1.84828[/C][/ROW]
[ROW][C]221[/C][C]8.5[/C][C]6.16471[/C][C]2.33529[/C][/ROW]
[ROW][C]222[/C][C]3.5[/C][C]6.15172[/C][C]-2.65172[/C][/ROW]
[ROW][C]223[/C][C]6.5[/C][C]6.16471[/C][C]0.335287[/C][/ROW]
[ROW][C]224[/C][C]6.5[/C][C]6.1777[/C][C]0.322295[/C][/ROW]
[ROW][C]225[/C][C]10.5[/C][C]6.1777[/C][C]4.3223[/C][/ROW]
[ROW][C]226[/C][C]8.5[/C][C]6.1907[/C][C]2.3093[/C][/ROW]
[ROW][C]227[/C][C]8[/C][C]6.16471[/C][C]1.83529[/C][/ROW]
[ROW][C]228[/C][C]10[/C][C]6.15172[/C][C]3.84828[/C][/ROW]
[ROW][C]229[/C][C]10[/C][C]6.13873[/C][C]3.86127[/C][/ROW]
[ROW][C]230[/C][C]9.5[/C][C]6.1777[/C][C]3.3223[/C][/ROW]
[ROW][C]231[/C][C]9[/C][C]6.12574[/C][C]2.87426[/C][/ROW]
[ROW][C]232[/C][C]10[/C][C]6.21668[/C][C]3.78332[/C][/ROW]
[ROW][C]233[/C][C]7.5[/C][C]6.12574[/C][C]1.37426[/C][/ROW]
[ROW][C]234[/C][C]4.5[/C][C]6.1907[/C][C]-1.6907[/C][/ROW]
[ROW][C]235[/C][C]4.5[/C][C]6.12574[/C][C]-1.62574[/C][/ROW]
[ROW][C]236[/C][C]0.5[/C][C]6.16471[/C][C]-5.66471[/C][/ROW]
[ROW][C]237[/C][C]6.5[/C][C]6.16471[/C][C]0.335287[/C][/ROW]
[ROW][C]238[/C][C]4.5[/C][C]6.12574[/C][C]-1.62574[/C][/ROW]
[ROW][C]239[/C][C]5.5[/C][C]6.25566[/C][C]-0.755659[/C][/ROW]
[ROW][C]240[/C][C]5[/C][C]6.15172[/C][C]-1.15172[/C][/ROW]
[ROW][C]241[/C][C]6[/C][C]6.08676[/C][C]-0.0867585[/C][/ROW]
[ROW][C]242[/C][C]4[/C][C]6.1907[/C][C]-2.1907[/C][/ROW]
[ROW][C]243[/C][C]8[/C][C]6.1777[/C][C]1.8223[/C][/ROW]
[ROW][C]244[/C][C]10.5[/C][C]6.1907[/C][C]4.3093[/C][/ROW]
[ROW][C]245[/C][C]6.5[/C][C]6.1907[/C][C]0.309303[/C][/ROW]
[ROW][C]246[/C][C]8[/C][C]6.1777[/C][C]1.8223[/C][/ROW]
[ROW][C]247[/C][C]8.5[/C][C]6.25566[/C][C]2.24434[/C][/ROW]
[ROW][C]248[/C][C]5.5[/C][C]6.29464[/C][C]-0.794636[/C][/ROW]
[ROW][C]249[/C][C]7[/C][C]6.15172[/C][C]0.84828[/C][/ROW]
[ROW][C]250[/C][C]5[/C][C]6.11274[/C][C]-1.11274[/C][/ROW]
[ROW][C]251[/C][C]3.5[/C][C]6.15172[/C][C]-2.65172[/C][/ROW]
[ROW][C]252[/C][C]5[/C][C]6.12574[/C][C]-1.12574[/C][/ROW]
[ROW][C]253[/C][C]9[/C][C]6.1907[/C][C]2.8093[/C][/ROW]
[ROW][C]254[/C][C]8.5[/C][C]6.28164[/C][C]2.21836[/C][/ROW]
[ROW][C]255[/C][C]5[/C][C]6.21668[/C][C]-1.21668[/C][/ROW]
[ROW][C]256[/C][C]9.5[/C][C]6.16471[/C][C]3.33529[/C][/ROW]
[ROW][C]257[/C][C]3[/C][C]6.16471[/C][C]-3.16471[/C][/ROW]
[ROW][C]258[/C][C]1.5[/C][C]6.08676[/C][C]-4.58676[/C][/ROW]
[ROW][C]259[/C][C]6[/C][C]6.15172[/C][C]-0.15172[/C][/ROW]
[ROW][C]260[/C][C]0.5[/C][C]6.26865[/C][C]-5.76865[/C][/ROW]
[ROW][C]261[/C][C]6.5[/C][C]6.22967[/C][C]0.270326[/C][/ROW]
[ROW][C]262[/C][C]7.5[/C][C]6.1907[/C][C]1.3093[/C][/ROW]
[ROW][C]263[/C][C]4.5[/C][C]6.24267[/C][C]-1.74267[/C][/ROW]
[ROW][C]264[/C][C]8[/C][C]6.1907[/C][C]1.8093[/C][/ROW]
[ROW][C]265[/C][C]9[/C][C]6.21668[/C][C]2.78332[/C][/ROW]
[ROW][C]266[/C][C]7.5[/C][C]6.1777[/C][C]1.3223[/C][/ROW]
[ROW][C]267[/C][C]8.5[/C][C]6.33361[/C][C]2.16639[/C][/ROW]
[ROW][C]268[/C][C]7[/C][C]6.15172[/C][C]0.84828[/C][/ROW]
[ROW][C]269[/C][C]9.5[/C][C]6.11274[/C][C]3.38726[/C][/ROW]
[ROW][C]270[/C][C]6.5[/C][C]6.15172[/C][C]0.34828[/C][/ROW]
[ROW][C]271[/C][C]9.5[/C][C]6.16471[/C][C]3.33529[/C][/ROW]
[ROW][C]272[/C][C]6[/C][C]6.13873[/C][C]-0.138728[/C][/ROW]
[ROW][C]273[/C][C]8[/C][C]6.20369[/C][C]1.79631[/C][/ROW]
[ROW][C]274[/C][C]9.5[/C][C]6.1777[/C][C]3.3223[/C][/ROW]
[ROW][C]275[/C][C]8[/C][C]6.16471[/C][C]1.83529[/C][/ROW]
[ROW][C]276[/C][C]8[/C][C]6.21668[/C][C]1.78332[/C][/ROW]
[ROW][C]277[/C][C]9[/C][C]6.16471[/C][C]2.83529[/C][/ROW]
[ROW][C]278[/C][C]5[/C][C]6.21668[/C][C]-1.21668[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=270362&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=270362&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
17.56.320621.17938
266.1907-0.190697
36.56.268650.231349
416.11274-5.11274
516.21668-5.21668
65.56.1777-0.677705
78.56.216682.28332
86.56.229670.270326
94.56.06077-1.56077
1026.15172-4.15172
1156.1907-1.1907
120.56.13873-5.63873
1356.1777-1.1777
1456.13873-1.13873
152.56.09975-3.59975
1656.16471-1.16471
175.56.21668-0.716682
183.56.1777-2.6777
1936.1907-3.1907
2046.08676-2.08676
210.56.11274-5.61274
226.56.164710.335287
234.56.1777-1.6777
247.56.17771.3223
255.56.12574-0.625736
2646.1907-2.1907
277.56.216681.28332
2876.19070.809303
2946.15172-2.15172
305.56.16471-0.664713
312.56.22967-3.72967
325.56.1777-0.677705
333.56.1777-2.6777
342.56.33361-3.83361
354.56.16471-1.66471
364.56.16471-1.66471
374.56.1777-1.6777
3866.1777-0.177705
392.56.16471-3.66471
4056.1907-1.1907
4106.24267-6.24267
4256.20369-1.20369
436.56.203690.296311
4456.32062-1.32062
4566.30763-0.307628
464.56.13873-1.63873
475.56.16471-0.664713
4816.16471-5.16471
497.56.138731.36127
5066.13873-0.138728
5156.13873-1.13873
5216.21668-5.21668
5356.24267-1.24267
546.56.112740.387257
5576.151720.84828
564.56.16471-1.66471
5706.16471-6.16471
588.56.19072.3093
593.56.24267-2.74267
607.56.17771.3223
613.56.11274-2.61274
6266.1777-0.177705
631.56.21668-4.71668
6496.216682.78332
653.56.21668-2.71668
663.56.24267-2.74267
6746.13873-2.13873
686.56.151720.34828
697.56.229671.27033
7066.24267-0.242666
7156.22967-1.22967
725.56.24267-0.742666
733.56.16471-2.66471
747.56.151721.34828
756.56.242670.257334
766.56.216680.283318
776.56.255660.244341
7876.086760.913241
793.56.25566-2.75566
801.56.1907-4.6907
8146.22967-2.22967
827.56.19071.3093
834.56.15172-1.65172
8406.20369-6.20369
853.56.1907-2.6907
865.56.16471-0.664713
8756.1907-1.1907
884.56.09975-1.59975
892.56.16471-3.66471
907.56.17771.3223
9176.19070.809303
9206.26865-6.26865
934.56.13873-1.63873
9436.21668-3.21668
951.56.1907-4.6907
963.56.12574-2.62574
972.56.16471-3.66471
985.56.16471-0.664713
9986.216681.78332
10016.13873-5.13873
10156.1777-1.1777
1024.56.12574-1.62574
10336.34661-3.34661
10436.1777-3.1777
10586.112741.88726
1062.56.1777-3.6777
10776.229670.770326
10806.1907-6.1907
10916.1907-5.1907
1103.56.13873-2.63873
1115.56.12574-0.625736
1125.56.1907-0.690697
1130.56.20369-5.70369
1147.56.346611.15339
11596.138732.86127
1169.56.164713.33529
1178.56.216682.28332
11876.216680.783318
11986.203691.79631
120106.164713.83529
12176.125740.874264
1228.56.19072.3093
12396.255662.74434
1249.56.138733.36127
12546.16471-2.16471
12666.16471-0.164713
12786.255661.74434
1285.56.21668-0.716682
1299.56.099753.40025
1307.56.216681.28332
13176.229670.770326
1327.56.17771.3223
13386.17771.8223
13476.112740.887257
13576.307630.692372
13666.13873-0.138728
137106.229673.77033
1382.56.13873-3.63873
13996.138732.86127
14086.112741.88726
14166.26865-0.268651
1428.56.151722.34828
14366.09975-0.0997509
14496.086762.91324
14586.151721.84828
14696.242672.75733
1475.56.06077-0.560774
14876.151720.84828
1495.56.21668-0.716682
15096.216682.78332
15126.09975-4.09975
1528.56.151722.34828
15396.138732.86127
1548.56.307632.19237
15596.164712.83529
1567.56.17771.3223
157106.112743.88726
15896.138732.86127
1597.56.138731.36127
16066.26865-0.268651
16110.56.203694.29631
1628.56.19072.3093
16386.294641.70536
164106.138733.86127
16510.56.112744.38726
1666.56.19070.309303
1679.56.19073.3093
1688.56.125742.37426
1697.56.151721.34828
17056.15172-1.15172
17186.060771.93923
172106.203693.79631
17376.151720.84828
1747.56.151721.34828
1757.56.164711.33529
1769.56.19073.3093
17766.20369-0.203689
178106.333613.66639
17976.203690.796311
18036.24267-3.24267
18166.1907-0.190697
18276.242670.757334
183106.125743.87426
18476.164710.835287
1853.56.24267-2.74267
18686.203691.79631
187106.151723.84828
1885.56.12574-0.625736
18966.11274-0.112743
1906.56.151720.34828
1916.56.242670.257334
1928.56.112742.38726
19346.21668-2.21668
1949.56.151723.34828
19586.320621.67938
1968.56.203692.29631
1975.56.1907-0.690697
19876.203690.796311
19996.216682.78332
20086.138731.86127
201106.203693.79631
20286.151721.84828
20366.16471-0.164713
20486.164711.83529
20556.1777-1.1777
20696.320622.67938
2074.56.1777-1.6777
2088.56.281642.21836
2099.56.255663.24434
2108.56.19072.3093
2117.56.17771.3223
2127.56.125741.37426
21356.16471-1.16471
21476.138730.861272
21586.17771.8223
2165.56.21668-0.716682
2178.56.281642.21836
2189.56.151723.34828
21976.242670.757334
22086.151721.84828
2218.56.164712.33529
2223.56.15172-2.65172
2236.56.164710.335287
2246.56.17770.322295
22510.56.17774.3223
2268.56.19072.3093
22786.164711.83529
228106.151723.84828
229106.138733.86127
2309.56.17773.3223
23196.125742.87426
232106.216683.78332
2337.56.125741.37426
2344.56.1907-1.6907
2354.56.12574-1.62574
2360.56.16471-5.66471
2376.56.164710.335287
2384.56.12574-1.62574
2395.56.25566-0.755659
24056.15172-1.15172
24166.08676-0.0867585
24246.1907-2.1907
24386.17771.8223
24410.56.19074.3093
2456.56.19070.309303
24686.17771.8223
2478.56.255662.24434
2485.56.29464-0.794636
24976.151720.84828
25056.11274-1.11274
2513.56.15172-2.65172
25256.12574-1.12574
25396.19072.8093
2548.56.281642.21836
25556.21668-1.21668
2569.56.164713.33529
25736.16471-3.16471
2581.56.08676-4.58676
25966.15172-0.15172
2600.56.26865-5.76865
2616.56.229670.270326
2627.56.19071.3093
2634.56.24267-1.74267
26486.19071.8093
26596.216682.78332
2667.56.17771.3223
2678.56.333612.16639
26876.151720.84828
2699.56.112743.38726
2706.56.151720.34828
2719.56.164713.33529
27266.13873-0.138728
27386.203691.79631
2749.56.17773.3223
27586.164711.83529
27686.216681.78332
27796.164712.83529
27856.21668-1.21668







Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
50.566680.8666390.43332
60.5145140.9709720.485486
70.6346340.7307310.365366
80.5241010.9517970.475899
90.5104760.9790470.489524
100.490970.9819410.50903
110.3894660.7789330.610534
120.4575290.9150580.542471
130.3742980.7485950.625702
140.3212790.6425580.678721
150.2545080.5090150.745492
160.1991060.3982120.800894
170.1468430.2936860.853157
180.1141330.2282660.885867
190.1006210.2012420.899379
200.08367910.1673580.916321
210.1013750.2027490.898625
220.1056380.2112770.894362
230.07773750.1554750.922263
240.09889480.197790.901105
250.09200540.1840110.907995
260.07218150.1443630.927819
270.06862130.1372430.931379
280.06406960.1281390.93593
290.04788440.09576870.952116
300.03694970.07389930.96305
310.05508040.1101610.94492
320.04223770.08447530.957762
330.03467750.0693550.965323
340.08125440.1625090.918746
350.06318170.1263630.936818
360.04855540.09711080.951445
370.03684340.07368670.963157
380.0307110.0614220.969289
390.03010540.06021090.969895
400.02246670.04493330.977533
410.08052910.1610580.919471
420.06407490.128150.935925
430.05771890.1154380.942281
440.04630620.09261250.953694
450.03568670.07137340.964313
460.02788640.05577280.972114
470.02255430.04510860.977446
480.0360140.0720280.963986
490.04721520.09443050.952785
500.04244770.08489540.957552
510.03424350.06848710.965756
520.05923360.1184670.940766
530.04752970.09505940.95247
540.04738770.09477540.952612
550.04893320.09786640.951067
560.0396540.0793080.960346
570.08694910.1738980.913051
580.1166970.2333930.883303
590.1086070.2172140.891393
600.1162890.2325780.883711
610.1041650.208330.895835
620.09170120.1834020.908299
630.121880.2437590.87812
640.1665140.3330280.833486
650.1565820.3131630.843418
660.148410.296820.85159
670.1319950.263990.868005
680.1241120.2482230.875888
690.125170.2503410.87483
700.1085080.2170160.891492
710.09261370.1852270.907386
720.07825770.1565150.921742
730.07218350.1443670.927816
740.07746290.1549260.922537
750.06798880.1359780.932011
760.06009640.1201930.939904
770.05172030.1034410.94828
780.05340060.1068010.946599
790.05175510.103510.948245
800.0728570.1457140.927143
810.06608330.1321670.933917
820.06731430.1346290.932686
830.0581770.1163540.941823
840.1270980.2541960.872902
850.122290.244580.87771
860.1075150.215030.892485
870.09386860.1877370.906131
880.08277790.1655560.917222
890.09182070.1836410.908179
900.09413270.1882650.905867
910.08959830.1791970.910402
920.1914740.3829480.808526
930.1747250.349450.825275
940.1827360.3654730.817264
950.2388970.4777930.761103
960.2343450.468690.765655
970.2581310.5162630.741869
980.2370180.4740360.762982
990.2507640.5015280.749236
1000.3425530.6851050.657447
1010.3201140.6402270.679886
1020.3025690.6051370.697431
1030.3294430.6588860.670557
1040.3469070.6938140.653093
1050.369930.739860.63007
1060.4091810.8183610.590819
1070.3983950.796790.601605
1080.5974930.8050150.402507
1090.7199520.5600960.280048
1100.7282610.5434770.271739
1110.7101650.579670.289835
1120.6917350.6165310.308265
1130.8326510.3346980.167349
1140.8285850.3428310.171415
1150.8637590.2724810.136241
1160.9014680.1970650.0985324
1170.9115220.1769550.0884776
1180.9053020.1893950.0946976
1190.9078420.1843160.092158
1200.9405280.1189450.0594724
1210.9359590.1280830.0640413
1220.9413380.1173230.0586617
1230.9493020.1013970.0506984
1240.9628540.07429180.0371459
1250.9637280.07254410.036272
1260.958570.08286030.0414301
1270.9573920.08521590.0426079
1280.9523090.09538140.0476907
1290.9648970.07020530.0351027
1300.9618790.07624280.0381214
1310.9570520.08589580.0429479
1320.9535810.09283820.0464191
1330.9523080.09538360.0476918
1340.9467660.1064670.0532336
1350.9399540.1200920.0600458
1360.9317060.1365890.0682943
1370.9490120.1019750.0509875
1380.9638090.07238170.0361909
1390.968210.06358030.0317902
1400.967070.06586020.0329301
1410.9622510.07549740.0377487
1420.9630180.07396470.0369824
1430.9571130.08577490.0428875
1440.9617080.07658320.0382916
1450.9593610.08127870.0406394
1460.9619260.07614770.0380739
1470.9562610.08747750.0437388
1480.9498240.1003510.0501755
1490.9440580.1118830.0559416
1500.9472150.105570.0527849
1510.9685520.06289640.0314482
1520.9681960.06360870.0318044
1530.9703220.05935670.0296783
1540.9690730.06185360.0309268
1550.9708090.05838130.0291906
1560.9666490.06670150.0333507
1570.9748250.05034990.0251749
1580.9761110.04777790.0238889
1590.9724260.05514740.0275737
1600.9679660.06406760.0320338
1610.9780640.04387230.0219361
1620.9769620.04607660.0230383
1630.9739590.05208290.0260414
1640.9799670.04006650.0200333
1650.9870460.02590780.0129539
1660.9841390.03172150.0158608
1670.9860170.02796590.013983
1680.9852850.02943050.0147152
1690.9825170.03496540.0174827
1700.9805470.03890610.0194531
1710.9783290.0433410.0216705
1720.9827480.03450470.0172523
1730.9789470.04210560.0210528
1740.9750770.04984690.0249234
1750.9705810.05883780.0294189
1760.9734370.05312660.0265633
1770.9683750.06324970.0316249
1780.9729760.05404730.0270236
1790.9673030.0653940.032697
1800.9766020.04679690.0233985
1810.971970.05605980.0280299
1820.966120.06775930.0338797
1830.9733150.05336970.0266848
1840.9675580.0648840.032442
1850.9744830.05103310.0255166
1860.9705060.05898750.0294938
1870.976660.04668080.0233404
1880.9722640.0554730.0277365
1890.9661860.06762860.0338143
1900.9588280.08234310.0411715
1910.9509430.09811480.0490574
1920.9483350.103330.0516648
1930.9535960.09280750.0464037
1940.9580040.08399130.0419957
1950.95090.09819920.0490996
1960.9461640.1076720.0538358
1970.938870.1222610.0611303
1980.9270640.1458710.0729357
1990.92450.1510.0755001
2000.9155510.1688970.0844485
2010.9266670.1466670.0733334
2020.9175550.1648910.0824453
2030.9031440.1937120.096856
2040.8913840.2172310.108616
2050.8824680.2350640.117532
2060.8737340.2525330.126266
2070.871220.2575590.12878
2080.8575330.2849340.142467
2090.8600310.2799380.139969
2100.8492850.3014310.150715
2110.8274340.3451310.172566
2120.8046020.3907960.195398
2130.7896660.4206670.210334
2140.7599030.4801950.240097
2150.7363790.5272420.263621
2160.7127090.5745810.287291
2170.6904980.6190040.309502
2180.7033840.5932330.296616
2190.666650.66670.33335
2200.6400350.719930.359965
2210.6227610.7544780.377239
2220.6454140.7091720.354586
2230.6049160.7901670.395084
2240.5632120.8735770.436788
2250.6194430.7611140.380557
2260.599240.8015190.40076
2270.5693110.8613780.430689
2280.6094010.7811980.390599
2290.65510.6897990.3449
2300.6736020.6527970.326398
2310.6845180.6309630.315482
2320.7197910.5604180.280209
2330.6916310.6167380.308369
2340.6747670.6504650.325233
2350.6493720.7012560.350628
2360.8355610.3288780.164439
2370.8025430.3949140.197457
2380.7882810.4234380.211719
2390.7630190.4739610.236981
2400.7386960.5226090.261304
2410.6955980.6088050.304402
2420.707890.584220.29211
2430.6731320.6537350.326868
2440.7355930.5288140.264407
2450.6891240.6217530.310876
2460.6541450.6917090.345855
2470.625090.749820.37491
2480.590380.819240.40962
2490.5357460.9285090.464254
2500.4945190.9890390.505481
2510.526950.94610.47305
2520.4959680.9919360.504032
2530.4792680.9585360.520732
2540.4475210.8950430.552479
2550.4132940.8265880.586706
2560.4211170.8422350.578883
2570.5020440.9959120.497956
2580.841920.3161610.15808
2590.8238460.3523070.176154
2600.991170.01765990.00882994
2610.9864340.02713170.0135658
2620.9767590.0464830.0232415
2630.991740.01651940.00825968
2640.9843970.03120510.0156025
2650.9767940.04641110.0232056
2660.9588070.08238620.0411931
2670.9438410.1123180.0561588
2680.9162450.1675090.0837547
2690.8782620.2434760.121738
2700.8433870.3132270.156613
2710.8023770.3952470.197623
2720.892050.21590.10795
2730.7916470.4167060.208353

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
5 & 0.56668 & 0.866639 & 0.43332 \tabularnewline
6 & 0.514514 & 0.970972 & 0.485486 \tabularnewline
7 & 0.634634 & 0.730731 & 0.365366 \tabularnewline
8 & 0.524101 & 0.951797 & 0.475899 \tabularnewline
9 & 0.510476 & 0.979047 & 0.489524 \tabularnewline
10 & 0.49097 & 0.981941 & 0.50903 \tabularnewline
11 & 0.389466 & 0.778933 & 0.610534 \tabularnewline
12 & 0.457529 & 0.915058 & 0.542471 \tabularnewline
13 & 0.374298 & 0.748595 & 0.625702 \tabularnewline
14 & 0.321279 & 0.642558 & 0.678721 \tabularnewline
15 & 0.254508 & 0.509015 & 0.745492 \tabularnewline
16 & 0.199106 & 0.398212 & 0.800894 \tabularnewline
17 & 0.146843 & 0.293686 & 0.853157 \tabularnewline
18 & 0.114133 & 0.228266 & 0.885867 \tabularnewline
19 & 0.100621 & 0.201242 & 0.899379 \tabularnewline
20 & 0.0836791 & 0.167358 & 0.916321 \tabularnewline
21 & 0.101375 & 0.202749 & 0.898625 \tabularnewline
22 & 0.105638 & 0.211277 & 0.894362 \tabularnewline
23 & 0.0777375 & 0.155475 & 0.922263 \tabularnewline
24 & 0.0988948 & 0.19779 & 0.901105 \tabularnewline
25 & 0.0920054 & 0.184011 & 0.907995 \tabularnewline
26 & 0.0721815 & 0.144363 & 0.927819 \tabularnewline
27 & 0.0686213 & 0.137243 & 0.931379 \tabularnewline
28 & 0.0640696 & 0.128139 & 0.93593 \tabularnewline
29 & 0.0478844 & 0.0957687 & 0.952116 \tabularnewline
30 & 0.0369497 & 0.0738993 & 0.96305 \tabularnewline
31 & 0.0550804 & 0.110161 & 0.94492 \tabularnewline
32 & 0.0422377 & 0.0844753 & 0.957762 \tabularnewline
33 & 0.0346775 & 0.069355 & 0.965323 \tabularnewline
34 & 0.0812544 & 0.162509 & 0.918746 \tabularnewline
35 & 0.0631817 & 0.126363 & 0.936818 \tabularnewline
36 & 0.0485554 & 0.0971108 & 0.951445 \tabularnewline
37 & 0.0368434 & 0.0736867 & 0.963157 \tabularnewline
38 & 0.030711 & 0.061422 & 0.969289 \tabularnewline
39 & 0.0301054 & 0.0602109 & 0.969895 \tabularnewline
40 & 0.0224667 & 0.0449333 & 0.977533 \tabularnewline
41 & 0.0805291 & 0.161058 & 0.919471 \tabularnewline
42 & 0.0640749 & 0.12815 & 0.935925 \tabularnewline
43 & 0.0577189 & 0.115438 & 0.942281 \tabularnewline
44 & 0.0463062 & 0.0926125 & 0.953694 \tabularnewline
45 & 0.0356867 & 0.0713734 & 0.964313 \tabularnewline
46 & 0.0278864 & 0.0557728 & 0.972114 \tabularnewline
47 & 0.0225543 & 0.0451086 & 0.977446 \tabularnewline
48 & 0.036014 & 0.072028 & 0.963986 \tabularnewline
49 & 0.0472152 & 0.0944305 & 0.952785 \tabularnewline
50 & 0.0424477 & 0.0848954 & 0.957552 \tabularnewline
51 & 0.0342435 & 0.0684871 & 0.965756 \tabularnewline
52 & 0.0592336 & 0.118467 & 0.940766 \tabularnewline
53 & 0.0475297 & 0.0950594 & 0.95247 \tabularnewline
54 & 0.0473877 & 0.0947754 & 0.952612 \tabularnewline
55 & 0.0489332 & 0.0978664 & 0.951067 \tabularnewline
56 & 0.039654 & 0.079308 & 0.960346 \tabularnewline
57 & 0.0869491 & 0.173898 & 0.913051 \tabularnewline
58 & 0.116697 & 0.233393 & 0.883303 \tabularnewline
59 & 0.108607 & 0.217214 & 0.891393 \tabularnewline
60 & 0.116289 & 0.232578 & 0.883711 \tabularnewline
61 & 0.104165 & 0.20833 & 0.895835 \tabularnewline
62 & 0.0917012 & 0.183402 & 0.908299 \tabularnewline
63 & 0.12188 & 0.243759 & 0.87812 \tabularnewline
64 & 0.166514 & 0.333028 & 0.833486 \tabularnewline
65 & 0.156582 & 0.313163 & 0.843418 \tabularnewline
66 & 0.14841 & 0.29682 & 0.85159 \tabularnewline
67 & 0.131995 & 0.26399 & 0.868005 \tabularnewline
68 & 0.124112 & 0.248223 & 0.875888 \tabularnewline
69 & 0.12517 & 0.250341 & 0.87483 \tabularnewline
70 & 0.108508 & 0.217016 & 0.891492 \tabularnewline
71 & 0.0926137 & 0.185227 & 0.907386 \tabularnewline
72 & 0.0782577 & 0.156515 & 0.921742 \tabularnewline
73 & 0.0721835 & 0.144367 & 0.927816 \tabularnewline
74 & 0.0774629 & 0.154926 & 0.922537 \tabularnewline
75 & 0.0679888 & 0.135978 & 0.932011 \tabularnewline
76 & 0.0600964 & 0.120193 & 0.939904 \tabularnewline
77 & 0.0517203 & 0.103441 & 0.94828 \tabularnewline
78 & 0.0534006 & 0.106801 & 0.946599 \tabularnewline
79 & 0.0517551 & 0.10351 & 0.948245 \tabularnewline
80 & 0.072857 & 0.145714 & 0.927143 \tabularnewline
81 & 0.0660833 & 0.132167 & 0.933917 \tabularnewline
82 & 0.0673143 & 0.134629 & 0.932686 \tabularnewline
83 & 0.058177 & 0.116354 & 0.941823 \tabularnewline
84 & 0.127098 & 0.254196 & 0.872902 \tabularnewline
85 & 0.12229 & 0.24458 & 0.87771 \tabularnewline
86 & 0.107515 & 0.21503 & 0.892485 \tabularnewline
87 & 0.0938686 & 0.187737 & 0.906131 \tabularnewline
88 & 0.0827779 & 0.165556 & 0.917222 \tabularnewline
89 & 0.0918207 & 0.183641 & 0.908179 \tabularnewline
90 & 0.0941327 & 0.188265 & 0.905867 \tabularnewline
91 & 0.0895983 & 0.179197 & 0.910402 \tabularnewline
92 & 0.191474 & 0.382948 & 0.808526 \tabularnewline
93 & 0.174725 & 0.34945 & 0.825275 \tabularnewline
94 & 0.182736 & 0.365473 & 0.817264 \tabularnewline
95 & 0.238897 & 0.477793 & 0.761103 \tabularnewline
96 & 0.234345 & 0.46869 & 0.765655 \tabularnewline
97 & 0.258131 & 0.516263 & 0.741869 \tabularnewline
98 & 0.237018 & 0.474036 & 0.762982 \tabularnewline
99 & 0.250764 & 0.501528 & 0.749236 \tabularnewline
100 & 0.342553 & 0.685105 & 0.657447 \tabularnewline
101 & 0.320114 & 0.640227 & 0.679886 \tabularnewline
102 & 0.302569 & 0.605137 & 0.697431 \tabularnewline
103 & 0.329443 & 0.658886 & 0.670557 \tabularnewline
104 & 0.346907 & 0.693814 & 0.653093 \tabularnewline
105 & 0.36993 & 0.73986 & 0.63007 \tabularnewline
106 & 0.409181 & 0.818361 & 0.590819 \tabularnewline
107 & 0.398395 & 0.79679 & 0.601605 \tabularnewline
108 & 0.597493 & 0.805015 & 0.402507 \tabularnewline
109 & 0.719952 & 0.560096 & 0.280048 \tabularnewline
110 & 0.728261 & 0.543477 & 0.271739 \tabularnewline
111 & 0.710165 & 0.57967 & 0.289835 \tabularnewline
112 & 0.691735 & 0.616531 & 0.308265 \tabularnewline
113 & 0.832651 & 0.334698 & 0.167349 \tabularnewline
114 & 0.828585 & 0.342831 & 0.171415 \tabularnewline
115 & 0.863759 & 0.272481 & 0.136241 \tabularnewline
116 & 0.901468 & 0.197065 & 0.0985324 \tabularnewline
117 & 0.911522 & 0.176955 & 0.0884776 \tabularnewline
118 & 0.905302 & 0.189395 & 0.0946976 \tabularnewline
119 & 0.907842 & 0.184316 & 0.092158 \tabularnewline
120 & 0.940528 & 0.118945 & 0.0594724 \tabularnewline
121 & 0.935959 & 0.128083 & 0.0640413 \tabularnewline
122 & 0.941338 & 0.117323 & 0.0586617 \tabularnewline
123 & 0.949302 & 0.101397 & 0.0506984 \tabularnewline
124 & 0.962854 & 0.0742918 & 0.0371459 \tabularnewline
125 & 0.963728 & 0.0725441 & 0.036272 \tabularnewline
126 & 0.95857 & 0.0828603 & 0.0414301 \tabularnewline
127 & 0.957392 & 0.0852159 & 0.0426079 \tabularnewline
128 & 0.952309 & 0.0953814 & 0.0476907 \tabularnewline
129 & 0.964897 & 0.0702053 & 0.0351027 \tabularnewline
130 & 0.961879 & 0.0762428 & 0.0381214 \tabularnewline
131 & 0.957052 & 0.0858958 & 0.0429479 \tabularnewline
132 & 0.953581 & 0.0928382 & 0.0464191 \tabularnewline
133 & 0.952308 & 0.0953836 & 0.0476918 \tabularnewline
134 & 0.946766 & 0.106467 & 0.0532336 \tabularnewline
135 & 0.939954 & 0.120092 & 0.0600458 \tabularnewline
136 & 0.931706 & 0.136589 & 0.0682943 \tabularnewline
137 & 0.949012 & 0.101975 & 0.0509875 \tabularnewline
138 & 0.963809 & 0.0723817 & 0.0361909 \tabularnewline
139 & 0.96821 & 0.0635803 & 0.0317902 \tabularnewline
140 & 0.96707 & 0.0658602 & 0.0329301 \tabularnewline
141 & 0.962251 & 0.0754974 & 0.0377487 \tabularnewline
142 & 0.963018 & 0.0739647 & 0.0369824 \tabularnewline
143 & 0.957113 & 0.0857749 & 0.0428875 \tabularnewline
144 & 0.961708 & 0.0765832 & 0.0382916 \tabularnewline
145 & 0.959361 & 0.0812787 & 0.0406394 \tabularnewline
146 & 0.961926 & 0.0761477 & 0.0380739 \tabularnewline
147 & 0.956261 & 0.0874775 & 0.0437388 \tabularnewline
148 & 0.949824 & 0.100351 & 0.0501755 \tabularnewline
149 & 0.944058 & 0.111883 & 0.0559416 \tabularnewline
150 & 0.947215 & 0.10557 & 0.0527849 \tabularnewline
151 & 0.968552 & 0.0628964 & 0.0314482 \tabularnewline
152 & 0.968196 & 0.0636087 & 0.0318044 \tabularnewline
153 & 0.970322 & 0.0593567 & 0.0296783 \tabularnewline
154 & 0.969073 & 0.0618536 & 0.0309268 \tabularnewline
155 & 0.970809 & 0.0583813 & 0.0291906 \tabularnewline
156 & 0.966649 & 0.0667015 & 0.0333507 \tabularnewline
157 & 0.974825 & 0.0503499 & 0.0251749 \tabularnewline
158 & 0.976111 & 0.0477779 & 0.0238889 \tabularnewline
159 & 0.972426 & 0.0551474 & 0.0275737 \tabularnewline
160 & 0.967966 & 0.0640676 & 0.0320338 \tabularnewline
161 & 0.978064 & 0.0438723 & 0.0219361 \tabularnewline
162 & 0.976962 & 0.0460766 & 0.0230383 \tabularnewline
163 & 0.973959 & 0.0520829 & 0.0260414 \tabularnewline
164 & 0.979967 & 0.0400665 & 0.0200333 \tabularnewline
165 & 0.987046 & 0.0259078 & 0.0129539 \tabularnewline
166 & 0.984139 & 0.0317215 & 0.0158608 \tabularnewline
167 & 0.986017 & 0.0279659 & 0.013983 \tabularnewline
168 & 0.985285 & 0.0294305 & 0.0147152 \tabularnewline
169 & 0.982517 & 0.0349654 & 0.0174827 \tabularnewline
170 & 0.980547 & 0.0389061 & 0.0194531 \tabularnewline
171 & 0.978329 & 0.043341 & 0.0216705 \tabularnewline
172 & 0.982748 & 0.0345047 & 0.0172523 \tabularnewline
173 & 0.978947 & 0.0421056 & 0.0210528 \tabularnewline
174 & 0.975077 & 0.0498469 & 0.0249234 \tabularnewline
175 & 0.970581 & 0.0588378 & 0.0294189 \tabularnewline
176 & 0.973437 & 0.0531266 & 0.0265633 \tabularnewline
177 & 0.968375 & 0.0632497 & 0.0316249 \tabularnewline
178 & 0.972976 & 0.0540473 & 0.0270236 \tabularnewline
179 & 0.967303 & 0.065394 & 0.032697 \tabularnewline
180 & 0.976602 & 0.0467969 & 0.0233985 \tabularnewline
181 & 0.97197 & 0.0560598 & 0.0280299 \tabularnewline
182 & 0.96612 & 0.0677593 & 0.0338797 \tabularnewline
183 & 0.973315 & 0.0533697 & 0.0266848 \tabularnewline
184 & 0.967558 & 0.064884 & 0.032442 \tabularnewline
185 & 0.974483 & 0.0510331 & 0.0255166 \tabularnewline
186 & 0.970506 & 0.0589875 & 0.0294938 \tabularnewline
187 & 0.97666 & 0.0466808 & 0.0233404 \tabularnewline
188 & 0.972264 & 0.055473 & 0.0277365 \tabularnewline
189 & 0.966186 & 0.0676286 & 0.0338143 \tabularnewline
190 & 0.958828 & 0.0823431 & 0.0411715 \tabularnewline
191 & 0.950943 & 0.0981148 & 0.0490574 \tabularnewline
192 & 0.948335 & 0.10333 & 0.0516648 \tabularnewline
193 & 0.953596 & 0.0928075 & 0.0464037 \tabularnewline
194 & 0.958004 & 0.0839913 & 0.0419957 \tabularnewline
195 & 0.9509 & 0.0981992 & 0.0490996 \tabularnewline
196 & 0.946164 & 0.107672 & 0.0538358 \tabularnewline
197 & 0.93887 & 0.122261 & 0.0611303 \tabularnewline
198 & 0.927064 & 0.145871 & 0.0729357 \tabularnewline
199 & 0.9245 & 0.151 & 0.0755001 \tabularnewline
200 & 0.915551 & 0.168897 & 0.0844485 \tabularnewline
201 & 0.926667 & 0.146667 & 0.0733334 \tabularnewline
202 & 0.917555 & 0.164891 & 0.0824453 \tabularnewline
203 & 0.903144 & 0.193712 & 0.096856 \tabularnewline
204 & 0.891384 & 0.217231 & 0.108616 \tabularnewline
205 & 0.882468 & 0.235064 & 0.117532 \tabularnewline
206 & 0.873734 & 0.252533 & 0.126266 \tabularnewline
207 & 0.87122 & 0.257559 & 0.12878 \tabularnewline
208 & 0.857533 & 0.284934 & 0.142467 \tabularnewline
209 & 0.860031 & 0.279938 & 0.139969 \tabularnewline
210 & 0.849285 & 0.301431 & 0.150715 \tabularnewline
211 & 0.827434 & 0.345131 & 0.172566 \tabularnewline
212 & 0.804602 & 0.390796 & 0.195398 \tabularnewline
213 & 0.789666 & 0.420667 & 0.210334 \tabularnewline
214 & 0.759903 & 0.480195 & 0.240097 \tabularnewline
215 & 0.736379 & 0.527242 & 0.263621 \tabularnewline
216 & 0.712709 & 0.574581 & 0.287291 \tabularnewline
217 & 0.690498 & 0.619004 & 0.309502 \tabularnewline
218 & 0.703384 & 0.593233 & 0.296616 \tabularnewline
219 & 0.66665 & 0.6667 & 0.33335 \tabularnewline
220 & 0.640035 & 0.71993 & 0.359965 \tabularnewline
221 & 0.622761 & 0.754478 & 0.377239 \tabularnewline
222 & 0.645414 & 0.709172 & 0.354586 \tabularnewline
223 & 0.604916 & 0.790167 & 0.395084 \tabularnewline
224 & 0.563212 & 0.873577 & 0.436788 \tabularnewline
225 & 0.619443 & 0.761114 & 0.380557 \tabularnewline
226 & 0.59924 & 0.801519 & 0.40076 \tabularnewline
227 & 0.569311 & 0.861378 & 0.430689 \tabularnewline
228 & 0.609401 & 0.781198 & 0.390599 \tabularnewline
229 & 0.6551 & 0.689799 & 0.3449 \tabularnewline
230 & 0.673602 & 0.652797 & 0.326398 \tabularnewline
231 & 0.684518 & 0.630963 & 0.315482 \tabularnewline
232 & 0.719791 & 0.560418 & 0.280209 \tabularnewline
233 & 0.691631 & 0.616738 & 0.308369 \tabularnewline
234 & 0.674767 & 0.650465 & 0.325233 \tabularnewline
235 & 0.649372 & 0.701256 & 0.350628 \tabularnewline
236 & 0.835561 & 0.328878 & 0.164439 \tabularnewline
237 & 0.802543 & 0.394914 & 0.197457 \tabularnewline
238 & 0.788281 & 0.423438 & 0.211719 \tabularnewline
239 & 0.763019 & 0.473961 & 0.236981 \tabularnewline
240 & 0.738696 & 0.522609 & 0.261304 \tabularnewline
241 & 0.695598 & 0.608805 & 0.304402 \tabularnewline
242 & 0.70789 & 0.58422 & 0.29211 \tabularnewline
243 & 0.673132 & 0.653735 & 0.326868 \tabularnewline
244 & 0.735593 & 0.528814 & 0.264407 \tabularnewline
245 & 0.689124 & 0.621753 & 0.310876 \tabularnewline
246 & 0.654145 & 0.691709 & 0.345855 \tabularnewline
247 & 0.62509 & 0.74982 & 0.37491 \tabularnewline
248 & 0.59038 & 0.81924 & 0.40962 \tabularnewline
249 & 0.535746 & 0.928509 & 0.464254 \tabularnewline
250 & 0.494519 & 0.989039 & 0.505481 \tabularnewline
251 & 0.52695 & 0.9461 & 0.47305 \tabularnewline
252 & 0.495968 & 0.991936 & 0.504032 \tabularnewline
253 & 0.479268 & 0.958536 & 0.520732 \tabularnewline
254 & 0.447521 & 0.895043 & 0.552479 \tabularnewline
255 & 0.413294 & 0.826588 & 0.586706 \tabularnewline
256 & 0.421117 & 0.842235 & 0.578883 \tabularnewline
257 & 0.502044 & 0.995912 & 0.497956 \tabularnewline
258 & 0.84192 & 0.316161 & 0.15808 \tabularnewline
259 & 0.823846 & 0.352307 & 0.176154 \tabularnewline
260 & 0.99117 & 0.0176599 & 0.00882994 \tabularnewline
261 & 0.986434 & 0.0271317 & 0.0135658 \tabularnewline
262 & 0.976759 & 0.046483 & 0.0232415 \tabularnewline
263 & 0.99174 & 0.0165194 & 0.00825968 \tabularnewline
264 & 0.984397 & 0.0312051 & 0.0156025 \tabularnewline
265 & 0.976794 & 0.0464111 & 0.0232056 \tabularnewline
266 & 0.958807 & 0.0823862 & 0.0411931 \tabularnewline
267 & 0.943841 & 0.112318 & 0.0561588 \tabularnewline
268 & 0.916245 & 0.167509 & 0.0837547 \tabularnewline
269 & 0.878262 & 0.243476 & 0.121738 \tabularnewline
270 & 0.843387 & 0.313227 & 0.156613 \tabularnewline
271 & 0.802377 & 0.395247 & 0.197623 \tabularnewline
272 & 0.89205 & 0.2159 & 0.10795 \tabularnewline
273 & 0.791647 & 0.416706 & 0.208353 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=270362&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]0.56668[/C][C]0.866639[/C][C]0.43332[/C][/ROW]
[ROW][C]6[/C][C]0.514514[/C][C]0.970972[/C][C]0.485486[/C][/ROW]
[ROW][C]7[/C][C]0.634634[/C][C]0.730731[/C][C]0.365366[/C][/ROW]
[ROW][C]8[/C][C]0.524101[/C][C]0.951797[/C][C]0.475899[/C][/ROW]
[ROW][C]9[/C][C]0.510476[/C][C]0.979047[/C][C]0.489524[/C][/ROW]
[ROW][C]10[/C][C]0.49097[/C][C]0.981941[/C][C]0.50903[/C][/ROW]
[ROW][C]11[/C][C]0.389466[/C][C]0.778933[/C][C]0.610534[/C][/ROW]
[ROW][C]12[/C][C]0.457529[/C][C]0.915058[/C][C]0.542471[/C][/ROW]
[ROW][C]13[/C][C]0.374298[/C][C]0.748595[/C][C]0.625702[/C][/ROW]
[ROW][C]14[/C][C]0.321279[/C][C]0.642558[/C][C]0.678721[/C][/ROW]
[ROW][C]15[/C][C]0.254508[/C][C]0.509015[/C][C]0.745492[/C][/ROW]
[ROW][C]16[/C][C]0.199106[/C][C]0.398212[/C][C]0.800894[/C][/ROW]
[ROW][C]17[/C][C]0.146843[/C][C]0.293686[/C][C]0.853157[/C][/ROW]
[ROW][C]18[/C][C]0.114133[/C][C]0.228266[/C][C]0.885867[/C][/ROW]
[ROW][C]19[/C][C]0.100621[/C][C]0.201242[/C][C]0.899379[/C][/ROW]
[ROW][C]20[/C][C]0.0836791[/C][C]0.167358[/C][C]0.916321[/C][/ROW]
[ROW][C]21[/C][C]0.101375[/C][C]0.202749[/C][C]0.898625[/C][/ROW]
[ROW][C]22[/C][C]0.105638[/C][C]0.211277[/C][C]0.894362[/C][/ROW]
[ROW][C]23[/C][C]0.0777375[/C][C]0.155475[/C][C]0.922263[/C][/ROW]
[ROW][C]24[/C][C]0.0988948[/C][C]0.19779[/C][C]0.901105[/C][/ROW]
[ROW][C]25[/C][C]0.0920054[/C][C]0.184011[/C][C]0.907995[/C][/ROW]
[ROW][C]26[/C][C]0.0721815[/C][C]0.144363[/C][C]0.927819[/C][/ROW]
[ROW][C]27[/C][C]0.0686213[/C][C]0.137243[/C][C]0.931379[/C][/ROW]
[ROW][C]28[/C][C]0.0640696[/C][C]0.128139[/C][C]0.93593[/C][/ROW]
[ROW][C]29[/C][C]0.0478844[/C][C]0.0957687[/C][C]0.952116[/C][/ROW]
[ROW][C]30[/C][C]0.0369497[/C][C]0.0738993[/C][C]0.96305[/C][/ROW]
[ROW][C]31[/C][C]0.0550804[/C][C]0.110161[/C][C]0.94492[/C][/ROW]
[ROW][C]32[/C][C]0.0422377[/C][C]0.0844753[/C][C]0.957762[/C][/ROW]
[ROW][C]33[/C][C]0.0346775[/C][C]0.069355[/C][C]0.965323[/C][/ROW]
[ROW][C]34[/C][C]0.0812544[/C][C]0.162509[/C][C]0.918746[/C][/ROW]
[ROW][C]35[/C][C]0.0631817[/C][C]0.126363[/C][C]0.936818[/C][/ROW]
[ROW][C]36[/C][C]0.0485554[/C][C]0.0971108[/C][C]0.951445[/C][/ROW]
[ROW][C]37[/C][C]0.0368434[/C][C]0.0736867[/C][C]0.963157[/C][/ROW]
[ROW][C]38[/C][C]0.030711[/C][C]0.061422[/C][C]0.969289[/C][/ROW]
[ROW][C]39[/C][C]0.0301054[/C][C]0.0602109[/C][C]0.969895[/C][/ROW]
[ROW][C]40[/C][C]0.0224667[/C][C]0.0449333[/C][C]0.977533[/C][/ROW]
[ROW][C]41[/C][C]0.0805291[/C][C]0.161058[/C][C]0.919471[/C][/ROW]
[ROW][C]42[/C][C]0.0640749[/C][C]0.12815[/C][C]0.935925[/C][/ROW]
[ROW][C]43[/C][C]0.0577189[/C][C]0.115438[/C][C]0.942281[/C][/ROW]
[ROW][C]44[/C][C]0.0463062[/C][C]0.0926125[/C][C]0.953694[/C][/ROW]
[ROW][C]45[/C][C]0.0356867[/C][C]0.0713734[/C][C]0.964313[/C][/ROW]
[ROW][C]46[/C][C]0.0278864[/C][C]0.0557728[/C][C]0.972114[/C][/ROW]
[ROW][C]47[/C][C]0.0225543[/C][C]0.0451086[/C][C]0.977446[/C][/ROW]
[ROW][C]48[/C][C]0.036014[/C][C]0.072028[/C][C]0.963986[/C][/ROW]
[ROW][C]49[/C][C]0.0472152[/C][C]0.0944305[/C][C]0.952785[/C][/ROW]
[ROW][C]50[/C][C]0.0424477[/C][C]0.0848954[/C][C]0.957552[/C][/ROW]
[ROW][C]51[/C][C]0.0342435[/C][C]0.0684871[/C][C]0.965756[/C][/ROW]
[ROW][C]52[/C][C]0.0592336[/C][C]0.118467[/C][C]0.940766[/C][/ROW]
[ROW][C]53[/C][C]0.0475297[/C][C]0.0950594[/C][C]0.95247[/C][/ROW]
[ROW][C]54[/C][C]0.0473877[/C][C]0.0947754[/C][C]0.952612[/C][/ROW]
[ROW][C]55[/C][C]0.0489332[/C][C]0.0978664[/C][C]0.951067[/C][/ROW]
[ROW][C]56[/C][C]0.039654[/C][C]0.079308[/C][C]0.960346[/C][/ROW]
[ROW][C]57[/C][C]0.0869491[/C][C]0.173898[/C][C]0.913051[/C][/ROW]
[ROW][C]58[/C][C]0.116697[/C][C]0.233393[/C][C]0.883303[/C][/ROW]
[ROW][C]59[/C][C]0.108607[/C][C]0.217214[/C][C]0.891393[/C][/ROW]
[ROW][C]60[/C][C]0.116289[/C][C]0.232578[/C][C]0.883711[/C][/ROW]
[ROW][C]61[/C][C]0.104165[/C][C]0.20833[/C][C]0.895835[/C][/ROW]
[ROW][C]62[/C][C]0.0917012[/C][C]0.183402[/C][C]0.908299[/C][/ROW]
[ROW][C]63[/C][C]0.12188[/C][C]0.243759[/C][C]0.87812[/C][/ROW]
[ROW][C]64[/C][C]0.166514[/C][C]0.333028[/C][C]0.833486[/C][/ROW]
[ROW][C]65[/C][C]0.156582[/C][C]0.313163[/C][C]0.843418[/C][/ROW]
[ROW][C]66[/C][C]0.14841[/C][C]0.29682[/C][C]0.85159[/C][/ROW]
[ROW][C]67[/C][C]0.131995[/C][C]0.26399[/C][C]0.868005[/C][/ROW]
[ROW][C]68[/C][C]0.124112[/C][C]0.248223[/C][C]0.875888[/C][/ROW]
[ROW][C]69[/C][C]0.12517[/C][C]0.250341[/C][C]0.87483[/C][/ROW]
[ROW][C]70[/C][C]0.108508[/C][C]0.217016[/C][C]0.891492[/C][/ROW]
[ROW][C]71[/C][C]0.0926137[/C][C]0.185227[/C][C]0.907386[/C][/ROW]
[ROW][C]72[/C][C]0.0782577[/C][C]0.156515[/C][C]0.921742[/C][/ROW]
[ROW][C]73[/C][C]0.0721835[/C][C]0.144367[/C][C]0.927816[/C][/ROW]
[ROW][C]74[/C][C]0.0774629[/C][C]0.154926[/C][C]0.922537[/C][/ROW]
[ROW][C]75[/C][C]0.0679888[/C][C]0.135978[/C][C]0.932011[/C][/ROW]
[ROW][C]76[/C][C]0.0600964[/C][C]0.120193[/C][C]0.939904[/C][/ROW]
[ROW][C]77[/C][C]0.0517203[/C][C]0.103441[/C][C]0.94828[/C][/ROW]
[ROW][C]78[/C][C]0.0534006[/C][C]0.106801[/C][C]0.946599[/C][/ROW]
[ROW][C]79[/C][C]0.0517551[/C][C]0.10351[/C][C]0.948245[/C][/ROW]
[ROW][C]80[/C][C]0.072857[/C][C]0.145714[/C][C]0.927143[/C][/ROW]
[ROW][C]81[/C][C]0.0660833[/C][C]0.132167[/C][C]0.933917[/C][/ROW]
[ROW][C]82[/C][C]0.0673143[/C][C]0.134629[/C][C]0.932686[/C][/ROW]
[ROW][C]83[/C][C]0.058177[/C][C]0.116354[/C][C]0.941823[/C][/ROW]
[ROW][C]84[/C][C]0.127098[/C][C]0.254196[/C][C]0.872902[/C][/ROW]
[ROW][C]85[/C][C]0.12229[/C][C]0.24458[/C][C]0.87771[/C][/ROW]
[ROW][C]86[/C][C]0.107515[/C][C]0.21503[/C][C]0.892485[/C][/ROW]
[ROW][C]87[/C][C]0.0938686[/C][C]0.187737[/C][C]0.906131[/C][/ROW]
[ROW][C]88[/C][C]0.0827779[/C][C]0.165556[/C][C]0.917222[/C][/ROW]
[ROW][C]89[/C][C]0.0918207[/C][C]0.183641[/C][C]0.908179[/C][/ROW]
[ROW][C]90[/C][C]0.0941327[/C][C]0.188265[/C][C]0.905867[/C][/ROW]
[ROW][C]91[/C][C]0.0895983[/C][C]0.179197[/C][C]0.910402[/C][/ROW]
[ROW][C]92[/C][C]0.191474[/C][C]0.382948[/C][C]0.808526[/C][/ROW]
[ROW][C]93[/C][C]0.174725[/C][C]0.34945[/C][C]0.825275[/C][/ROW]
[ROW][C]94[/C][C]0.182736[/C][C]0.365473[/C][C]0.817264[/C][/ROW]
[ROW][C]95[/C][C]0.238897[/C][C]0.477793[/C][C]0.761103[/C][/ROW]
[ROW][C]96[/C][C]0.234345[/C][C]0.46869[/C][C]0.765655[/C][/ROW]
[ROW][C]97[/C][C]0.258131[/C][C]0.516263[/C][C]0.741869[/C][/ROW]
[ROW][C]98[/C][C]0.237018[/C][C]0.474036[/C][C]0.762982[/C][/ROW]
[ROW][C]99[/C][C]0.250764[/C][C]0.501528[/C][C]0.749236[/C][/ROW]
[ROW][C]100[/C][C]0.342553[/C][C]0.685105[/C][C]0.657447[/C][/ROW]
[ROW][C]101[/C][C]0.320114[/C][C]0.640227[/C][C]0.679886[/C][/ROW]
[ROW][C]102[/C][C]0.302569[/C][C]0.605137[/C][C]0.697431[/C][/ROW]
[ROW][C]103[/C][C]0.329443[/C][C]0.658886[/C][C]0.670557[/C][/ROW]
[ROW][C]104[/C][C]0.346907[/C][C]0.693814[/C][C]0.653093[/C][/ROW]
[ROW][C]105[/C][C]0.36993[/C][C]0.73986[/C][C]0.63007[/C][/ROW]
[ROW][C]106[/C][C]0.409181[/C][C]0.818361[/C][C]0.590819[/C][/ROW]
[ROW][C]107[/C][C]0.398395[/C][C]0.79679[/C][C]0.601605[/C][/ROW]
[ROW][C]108[/C][C]0.597493[/C][C]0.805015[/C][C]0.402507[/C][/ROW]
[ROW][C]109[/C][C]0.719952[/C][C]0.560096[/C][C]0.280048[/C][/ROW]
[ROW][C]110[/C][C]0.728261[/C][C]0.543477[/C][C]0.271739[/C][/ROW]
[ROW][C]111[/C][C]0.710165[/C][C]0.57967[/C][C]0.289835[/C][/ROW]
[ROW][C]112[/C][C]0.691735[/C][C]0.616531[/C][C]0.308265[/C][/ROW]
[ROW][C]113[/C][C]0.832651[/C][C]0.334698[/C][C]0.167349[/C][/ROW]
[ROW][C]114[/C][C]0.828585[/C][C]0.342831[/C][C]0.171415[/C][/ROW]
[ROW][C]115[/C][C]0.863759[/C][C]0.272481[/C][C]0.136241[/C][/ROW]
[ROW][C]116[/C][C]0.901468[/C][C]0.197065[/C][C]0.0985324[/C][/ROW]
[ROW][C]117[/C][C]0.911522[/C][C]0.176955[/C][C]0.0884776[/C][/ROW]
[ROW][C]118[/C][C]0.905302[/C][C]0.189395[/C][C]0.0946976[/C][/ROW]
[ROW][C]119[/C][C]0.907842[/C][C]0.184316[/C][C]0.092158[/C][/ROW]
[ROW][C]120[/C][C]0.940528[/C][C]0.118945[/C][C]0.0594724[/C][/ROW]
[ROW][C]121[/C][C]0.935959[/C][C]0.128083[/C][C]0.0640413[/C][/ROW]
[ROW][C]122[/C][C]0.941338[/C][C]0.117323[/C][C]0.0586617[/C][/ROW]
[ROW][C]123[/C][C]0.949302[/C][C]0.101397[/C][C]0.0506984[/C][/ROW]
[ROW][C]124[/C][C]0.962854[/C][C]0.0742918[/C][C]0.0371459[/C][/ROW]
[ROW][C]125[/C][C]0.963728[/C][C]0.0725441[/C][C]0.036272[/C][/ROW]
[ROW][C]126[/C][C]0.95857[/C][C]0.0828603[/C][C]0.0414301[/C][/ROW]
[ROW][C]127[/C][C]0.957392[/C][C]0.0852159[/C][C]0.0426079[/C][/ROW]
[ROW][C]128[/C][C]0.952309[/C][C]0.0953814[/C][C]0.0476907[/C][/ROW]
[ROW][C]129[/C][C]0.964897[/C][C]0.0702053[/C][C]0.0351027[/C][/ROW]
[ROW][C]130[/C][C]0.961879[/C][C]0.0762428[/C][C]0.0381214[/C][/ROW]
[ROW][C]131[/C][C]0.957052[/C][C]0.0858958[/C][C]0.0429479[/C][/ROW]
[ROW][C]132[/C][C]0.953581[/C][C]0.0928382[/C][C]0.0464191[/C][/ROW]
[ROW][C]133[/C][C]0.952308[/C][C]0.0953836[/C][C]0.0476918[/C][/ROW]
[ROW][C]134[/C][C]0.946766[/C][C]0.106467[/C][C]0.0532336[/C][/ROW]
[ROW][C]135[/C][C]0.939954[/C][C]0.120092[/C][C]0.0600458[/C][/ROW]
[ROW][C]136[/C][C]0.931706[/C][C]0.136589[/C][C]0.0682943[/C][/ROW]
[ROW][C]137[/C][C]0.949012[/C][C]0.101975[/C][C]0.0509875[/C][/ROW]
[ROW][C]138[/C][C]0.963809[/C][C]0.0723817[/C][C]0.0361909[/C][/ROW]
[ROW][C]139[/C][C]0.96821[/C][C]0.0635803[/C][C]0.0317902[/C][/ROW]
[ROW][C]140[/C][C]0.96707[/C][C]0.0658602[/C][C]0.0329301[/C][/ROW]
[ROW][C]141[/C][C]0.962251[/C][C]0.0754974[/C][C]0.0377487[/C][/ROW]
[ROW][C]142[/C][C]0.963018[/C][C]0.0739647[/C][C]0.0369824[/C][/ROW]
[ROW][C]143[/C][C]0.957113[/C][C]0.0857749[/C][C]0.0428875[/C][/ROW]
[ROW][C]144[/C][C]0.961708[/C][C]0.0765832[/C][C]0.0382916[/C][/ROW]
[ROW][C]145[/C][C]0.959361[/C][C]0.0812787[/C][C]0.0406394[/C][/ROW]
[ROW][C]146[/C][C]0.961926[/C][C]0.0761477[/C][C]0.0380739[/C][/ROW]
[ROW][C]147[/C][C]0.956261[/C][C]0.0874775[/C][C]0.0437388[/C][/ROW]
[ROW][C]148[/C][C]0.949824[/C][C]0.100351[/C][C]0.0501755[/C][/ROW]
[ROW][C]149[/C][C]0.944058[/C][C]0.111883[/C][C]0.0559416[/C][/ROW]
[ROW][C]150[/C][C]0.947215[/C][C]0.10557[/C][C]0.0527849[/C][/ROW]
[ROW][C]151[/C][C]0.968552[/C][C]0.0628964[/C][C]0.0314482[/C][/ROW]
[ROW][C]152[/C][C]0.968196[/C][C]0.0636087[/C][C]0.0318044[/C][/ROW]
[ROW][C]153[/C][C]0.970322[/C][C]0.0593567[/C][C]0.0296783[/C][/ROW]
[ROW][C]154[/C][C]0.969073[/C][C]0.0618536[/C][C]0.0309268[/C][/ROW]
[ROW][C]155[/C][C]0.970809[/C][C]0.0583813[/C][C]0.0291906[/C][/ROW]
[ROW][C]156[/C][C]0.966649[/C][C]0.0667015[/C][C]0.0333507[/C][/ROW]
[ROW][C]157[/C][C]0.974825[/C][C]0.0503499[/C][C]0.0251749[/C][/ROW]
[ROW][C]158[/C][C]0.976111[/C][C]0.0477779[/C][C]0.0238889[/C][/ROW]
[ROW][C]159[/C][C]0.972426[/C][C]0.0551474[/C][C]0.0275737[/C][/ROW]
[ROW][C]160[/C][C]0.967966[/C][C]0.0640676[/C][C]0.0320338[/C][/ROW]
[ROW][C]161[/C][C]0.978064[/C][C]0.0438723[/C][C]0.0219361[/C][/ROW]
[ROW][C]162[/C][C]0.976962[/C][C]0.0460766[/C][C]0.0230383[/C][/ROW]
[ROW][C]163[/C][C]0.973959[/C][C]0.0520829[/C][C]0.0260414[/C][/ROW]
[ROW][C]164[/C][C]0.979967[/C][C]0.0400665[/C][C]0.0200333[/C][/ROW]
[ROW][C]165[/C][C]0.987046[/C][C]0.0259078[/C][C]0.0129539[/C][/ROW]
[ROW][C]166[/C][C]0.984139[/C][C]0.0317215[/C][C]0.0158608[/C][/ROW]
[ROW][C]167[/C][C]0.986017[/C][C]0.0279659[/C][C]0.013983[/C][/ROW]
[ROW][C]168[/C][C]0.985285[/C][C]0.0294305[/C][C]0.0147152[/C][/ROW]
[ROW][C]169[/C][C]0.982517[/C][C]0.0349654[/C][C]0.0174827[/C][/ROW]
[ROW][C]170[/C][C]0.980547[/C][C]0.0389061[/C][C]0.0194531[/C][/ROW]
[ROW][C]171[/C][C]0.978329[/C][C]0.043341[/C][C]0.0216705[/C][/ROW]
[ROW][C]172[/C][C]0.982748[/C][C]0.0345047[/C][C]0.0172523[/C][/ROW]
[ROW][C]173[/C][C]0.978947[/C][C]0.0421056[/C][C]0.0210528[/C][/ROW]
[ROW][C]174[/C][C]0.975077[/C][C]0.0498469[/C][C]0.0249234[/C][/ROW]
[ROW][C]175[/C][C]0.970581[/C][C]0.0588378[/C][C]0.0294189[/C][/ROW]
[ROW][C]176[/C][C]0.973437[/C][C]0.0531266[/C][C]0.0265633[/C][/ROW]
[ROW][C]177[/C][C]0.968375[/C][C]0.0632497[/C][C]0.0316249[/C][/ROW]
[ROW][C]178[/C][C]0.972976[/C][C]0.0540473[/C][C]0.0270236[/C][/ROW]
[ROW][C]179[/C][C]0.967303[/C][C]0.065394[/C][C]0.032697[/C][/ROW]
[ROW][C]180[/C][C]0.976602[/C][C]0.0467969[/C][C]0.0233985[/C][/ROW]
[ROW][C]181[/C][C]0.97197[/C][C]0.0560598[/C][C]0.0280299[/C][/ROW]
[ROW][C]182[/C][C]0.96612[/C][C]0.0677593[/C][C]0.0338797[/C][/ROW]
[ROW][C]183[/C][C]0.973315[/C][C]0.0533697[/C][C]0.0266848[/C][/ROW]
[ROW][C]184[/C][C]0.967558[/C][C]0.064884[/C][C]0.032442[/C][/ROW]
[ROW][C]185[/C][C]0.974483[/C][C]0.0510331[/C][C]0.0255166[/C][/ROW]
[ROW][C]186[/C][C]0.970506[/C][C]0.0589875[/C][C]0.0294938[/C][/ROW]
[ROW][C]187[/C][C]0.97666[/C][C]0.0466808[/C][C]0.0233404[/C][/ROW]
[ROW][C]188[/C][C]0.972264[/C][C]0.055473[/C][C]0.0277365[/C][/ROW]
[ROW][C]189[/C][C]0.966186[/C][C]0.0676286[/C][C]0.0338143[/C][/ROW]
[ROW][C]190[/C][C]0.958828[/C][C]0.0823431[/C][C]0.0411715[/C][/ROW]
[ROW][C]191[/C][C]0.950943[/C][C]0.0981148[/C][C]0.0490574[/C][/ROW]
[ROW][C]192[/C][C]0.948335[/C][C]0.10333[/C][C]0.0516648[/C][/ROW]
[ROW][C]193[/C][C]0.953596[/C][C]0.0928075[/C][C]0.0464037[/C][/ROW]
[ROW][C]194[/C][C]0.958004[/C][C]0.0839913[/C][C]0.0419957[/C][/ROW]
[ROW][C]195[/C][C]0.9509[/C][C]0.0981992[/C][C]0.0490996[/C][/ROW]
[ROW][C]196[/C][C]0.946164[/C][C]0.107672[/C][C]0.0538358[/C][/ROW]
[ROW][C]197[/C][C]0.93887[/C][C]0.122261[/C][C]0.0611303[/C][/ROW]
[ROW][C]198[/C][C]0.927064[/C][C]0.145871[/C][C]0.0729357[/C][/ROW]
[ROW][C]199[/C][C]0.9245[/C][C]0.151[/C][C]0.0755001[/C][/ROW]
[ROW][C]200[/C][C]0.915551[/C][C]0.168897[/C][C]0.0844485[/C][/ROW]
[ROW][C]201[/C][C]0.926667[/C][C]0.146667[/C][C]0.0733334[/C][/ROW]
[ROW][C]202[/C][C]0.917555[/C][C]0.164891[/C][C]0.0824453[/C][/ROW]
[ROW][C]203[/C][C]0.903144[/C][C]0.193712[/C][C]0.096856[/C][/ROW]
[ROW][C]204[/C][C]0.891384[/C][C]0.217231[/C][C]0.108616[/C][/ROW]
[ROW][C]205[/C][C]0.882468[/C][C]0.235064[/C][C]0.117532[/C][/ROW]
[ROW][C]206[/C][C]0.873734[/C][C]0.252533[/C][C]0.126266[/C][/ROW]
[ROW][C]207[/C][C]0.87122[/C][C]0.257559[/C][C]0.12878[/C][/ROW]
[ROW][C]208[/C][C]0.857533[/C][C]0.284934[/C][C]0.142467[/C][/ROW]
[ROW][C]209[/C][C]0.860031[/C][C]0.279938[/C][C]0.139969[/C][/ROW]
[ROW][C]210[/C][C]0.849285[/C][C]0.301431[/C][C]0.150715[/C][/ROW]
[ROW][C]211[/C][C]0.827434[/C][C]0.345131[/C][C]0.172566[/C][/ROW]
[ROW][C]212[/C][C]0.804602[/C][C]0.390796[/C][C]0.195398[/C][/ROW]
[ROW][C]213[/C][C]0.789666[/C][C]0.420667[/C][C]0.210334[/C][/ROW]
[ROW][C]214[/C][C]0.759903[/C][C]0.480195[/C][C]0.240097[/C][/ROW]
[ROW][C]215[/C][C]0.736379[/C][C]0.527242[/C][C]0.263621[/C][/ROW]
[ROW][C]216[/C][C]0.712709[/C][C]0.574581[/C][C]0.287291[/C][/ROW]
[ROW][C]217[/C][C]0.690498[/C][C]0.619004[/C][C]0.309502[/C][/ROW]
[ROW][C]218[/C][C]0.703384[/C][C]0.593233[/C][C]0.296616[/C][/ROW]
[ROW][C]219[/C][C]0.66665[/C][C]0.6667[/C][C]0.33335[/C][/ROW]
[ROW][C]220[/C][C]0.640035[/C][C]0.71993[/C][C]0.359965[/C][/ROW]
[ROW][C]221[/C][C]0.622761[/C][C]0.754478[/C][C]0.377239[/C][/ROW]
[ROW][C]222[/C][C]0.645414[/C][C]0.709172[/C][C]0.354586[/C][/ROW]
[ROW][C]223[/C][C]0.604916[/C][C]0.790167[/C][C]0.395084[/C][/ROW]
[ROW][C]224[/C][C]0.563212[/C][C]0.873577[/C][C]0.436788[/C][/ROW]
[ROW][C]225[/C][C]0.619443[/C][C]0.761114[/C][C]0.380557[/C][/ROW]
[ROW][C]226[/C][C]0.59924[/C][C]0.801519[/C][C]0.40076[/C][/ROW]
[ROW][C]227[/C][C]0.569311[/C][C]0.861378[/C][C]0.430689[/C][/ROW]
[ROW][C]228[/C][C]0.609401[/C][C]0.781198[/C][C]0.390599[/C][/ROW]
[ROW][C]229[/C][C]0.6551[/C][C]0.689799[/C][C]0.3449[/C][/ROW]
[ROW][C]230[/C][C]0.673602[/C][C]0.652797[/C][C]0.326398[/C][/ROW]
[ROW][C]231[/C][C]0.684518[/C][C]0.630963[/C][C]0.315482[/C][/ROW]
[ROW][C]232[/C][C]0.719791[/C][C]0.560418[/C][C]0.280209[/C][/ROW]
[ROW][C]233[/C][C]0.691631[/C][C]0.616738[/C][C]0.308369[/C][/ROW]
[ROW][C]234[/C][C]0.674767[/C][C]0.650465[/C][C]0.325233[/C][/ROW]
[ROW][C]235[/C][C]0.649372[/C][C]0.701256[/C][C]0.350628[/C][/ROW]
[ROW][C]236[/C][C]0.835561[/C][C]0.328878[/C][C]0.164439[/C][/ROW]
[ROW][C]237[/C][C]0.802543[/C][C]0.394914[/C][C]0.197457[/C][/ROW]
[ROW][C]238[/C][C]0.788281[/C][C]0.423438[/C][C]0.211719[/C][/ROW]
[ROW][C]239[/C][C]0.763019[/C][C]0.473961[/C][C]0.236981[/C][/ROW]
[ROW][C]240[/C][C]0.738696[/C][C]0.522609[/C][C]0.261304[/C][/ROW]
[ROW][C]241[/C][C]0.695598[/C][C]0.608805[/C][C]0.304402[/C][/ROW]
[ROW][C]242[/C][C]0.70789[/C][C]0.58422[/C][C]0.29211[/C][/ROW]
[ROW][C]243[/C][C]0.673132[/C][C]0.653735[/C][C]0.326868[/C][/ROW]
[ROW][C]244[/C][C]0.735593[/C][C]0.528814[/C][C]0.264407[/C][/ROW]
[ROW][C]245[/C][C]0.689124[/C][C]0.621753[/C][C]0.310876[/C][/ROW]
[ROW][C]246[/C][C]0.654145[/C][C]0.691709[/C][C]0.345855[/C][/ROW]
[ROW][C]247[/C][C]0.62509[/C][C]0.74982[/C][C]0.37491[/C][/ROW]
[ROW][C]248[/C][C]0.59038[/C][C]0.81924[/C][C]0.40962[/C][/ROW]
[ROW][C]249[/C][C]0.535746[/C][C]0.928509[/C][C]0.464254[/C][/ROW]
[ROW][C]250[/C][C]0.494519[/C][C]0.989039[/C][C]0.505481[/C][/ROW]
[ROW][C]251[/C][C]0.52695[/C][C]0.9461[/C][C]0.47305[/C][/ROW]
[ROW][C]252[/C][C]0.495968[/C][C]0.991936[/C][C]0.504032[/C][/ROW]
[ROW][C]253[/C][C]0.479268[/C][C]0.958536[/C][C]0.520732[/C][/ROW]
[ROW][C]254[/C][C]0.447521[/C][C]0.895043[/C][C]0.552479[/C][/ROW]
[ROW][C]255[/C][C]0.413294[/C][C]0.826588[/C][C]0.586706[/C][/ROW]
[ROW][C]256[/C][C]0.421117[/C][C]0.842235[/C][C]0.578883[/C][/ROW]
[ROW][C]257[/C][C]0.502044[/C][C]0.995912[/C][C]0.497956[/C][/ROW]
[ROW][C]258[/C][C]0.84192[/C][C]0.316161[/C][C]0.15808[/C][/ROW]
[ROW][C]259[/C][C]0.823846[/C][C]0.352307[/C][C]0.176154[/C][/ROW]
[ROW][C]260[/C][C]0.99117[/C][C]0.0176599[/C][C]0.00882994[/C][/ROW]
[ROW][C]261[/C][C]0.986434[/C][C]0.0271317[/C][C]0.0135658[/C][/ROW]
[ROW][C]262[/C][C]0.976759[/C][C]0.046483[/C][C]0.0232415[/C][/ROW]
[ROW][C]263[/C][C]0.99174[/C][C]0.0165194[/C][C]0.00825968[/C][/ROW]
[ROW][C]264[/C][C]0.984397[/C][C]0.0312051[/C][C]0.0156025[/C][/ROW]
[ROW][C]265[/C][C]0.976794[/C][C]0.0464111[/C][C]0.0232056[/C][/ROW]
[ROW][C]266[/C][C]0.958807[/C][C]0.0823862[/C][C]0.0411931[/C][/ROW]
[ROW][C]267[/C][C]0.943841[/C][C]0.112318[/C][C]0.0561588[/C][/ROW]
[ROW][C]268[/C][C]0.916245[/C][C]0.167509[/C][C]0.0837547[/C][/ROW]
[ROW][C]269[/C][C]0.878262[/C][C]0.243476[/C][C]0.121738[/C][/ROW]
[ROW][C]270[/C][C]0.843387[/C][C]0.313227[/C][C]0.156613[/C][/ROW]
[ROW][C]271[/C][C]0.802377[/C][C]0.395247[/C][C]0.197623[/C][/ROW]
[ROW][C]272[/C][C]0.89205[/C][C]0.2159[/C][C]0.10795[/C][/ROW]
[ROW][C]273[/C][C]0.791647[/C][C]0.416706[/C][C]0.208353[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=270362&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=270362&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
50.566680.8666390.43332
60.5145140.9709720.485486
70.6346340.7307310.365366
80.5241010.9517970.475899
90.5104760.9790470.489524
100.490970.9819410.50903
110.3894660.7789330.610534
120.4575290.9150580.542471
130.3742980.7485950.625702
140.3212790.6425580.678721
150.2545080.5090150.745492
160.1991060.3982120.800894
170.1468430.2936860.853157
180.1141330.2282660.885867
190.1006210.2012420.899379
200.08367910.1673580.916321
210.1013750.2027490.898625
220.1056380.2112770.894362
230.07773750.1554750.922263
240.09889480.197790.901105
250.09200540.1840110.907995
260.07218150.1443630.927819
270.06862130.1372430.931379
280.06406960.1281390.93593
290.04788440.09576870.952116
300.03694970.07389930.96305
310.05508040.1101610.94492
320.04223770.08447530.957762
330.03467750.0693550.965323
340.08125440.1625090.918746
350.06318170.1263630.936818
360.04855540.09711080.951445
370.03684340.07368670.963157
380.0307110.0614220.969289
390.03010540.06021090.969895
400.02246670.04493330.977533
410.08052910.1610580.919471
420.06407490.128150.935925
430.05771890.1154380.942281
440.04630620.09261250.953694
450.03568670.07137340.964313
460.02788640.05577280.972114
470.02255430.04510860.977446
480.0360140.0720280.963986
490.04721520.09443050.952785
500.04244770.08489540.957552
510.03424350.06848710.965756
520.05923360.1184670.940766
530.04752970.09505940.95247
540.04738770.09477540.952612
550.04893320.09786640.951067
560.0396540.0793080.960346
570.08694910.1738980.913051
580.1166970.2333930.883303
590.1086070.2172140.891393
600.1162890.2325780.883711
610.1041650.208330.895835
620.09170120.1834020.908299
630.121880.2437590.87812
640.1665140.3330280.833486
650.1565820.3131630.843418
660.148410.296820.85159
670.1319950.263990.868005
680.1241120.2482230.875888
690.125170.2503410.87483
700.1085080.2170160.891492
710.09261370.1852270.907386
720.07825770.1565150.921742
730.07218350.1443670.927816
740.07746290.1549260.922537
750.06798880.1359780.932011
760.06009640.1201930.939904
770.05172030.1034410.94828
780.05340060.1068010.946599
790.05175510.103510.948245
800.0728570.1457140.927143
810.06608330.1321670.933917
820.06731430.1346290.932686
830.0581770.1163540.941823
840.1270980.2541960.872902
850.122290.244580.87771
860.1075150.215030.892485
870.09386860.1877370.906131
880.08277790.1655560.917222
890.09182070.1836410.908179
900.09413270.1882650.905867
910.08959830.1791970.910402
920.1914740.3829480.808526
930.1747250.349450.825275
940.1827360.3654730.817264
950.2388970.4777930.761103
960.2343450.468690.765655
970.2581310.5162630.741869
980.2370180.4740360.762982
990.2507640.5015280.749236
1000.3425530.6851050.657447
1010.3201140.6402270.679886
1020.3025690.6051370.697431
1030.3294430.6588860.670557
1040.3469070.6938140.653093
1050.369930.739860.63007
1060.4091810.8183610.590819
1070.3983950.796790.601605
1080.5974930.8050150.402507
1090.7199520.5600960.280048
1100.7282610.5434770.271739
1110.7101650.579670.289835
1120.6917350.6165310.308265
1130.8326510.3346980.167349
1140.8285850.3428310.171415
1150.8637590.2724810.136241
1160.9014680.1970650.0985324
1170.9115220.1769550.0884776
1180.9053020.1893950.0946976
1190.9078420.1843160.092158
1200.9405280.1189450.0594724
1210.9359590.1280830.0640413
1220.9413380.1173230.0586617
1230.9493020.1013970.0506984
1240.9628540.07429180.0371459
1250.9637280.07254410.036272
1260.958570.08286030.0414301
1270.9573920.08521590.0426079
1280.9523090.09538140.0476907
1290.9648970.07020530.0351027
1300.9618790.07624280.0381214
1310.9570520.08589580.0429479
1320.9535810.09283820.0464191
1330.9523080.09538360.0476918
1340.9467660.1064670.0532336
1350.9399540.1200920.0600458
1360.9317060.1365890.0682943
1370.9490120.1019750.0509875
1380.9638090.07238170.0361909
1390.968210.06358030.0317902
1400.967070.06586020.0329301
1410.9622510.07549740.0377487
1420.9630180.07396470.0369824
1430.9571130.08577490.0428875
1440.9617080.07658320.0382916
1450.9593610.08127870.0406394
1460.9619260.07614770.0380739
1470.9562610.08747750.0437388
1480.9498240.1003510.0501755
1490.9440580.1118830.0559416
1500.9472150.105570.0527849
1510.9685520.06289640.0314482
1520.9681960.06360870.0318044
1530.9703220.05935670.0296783
1540.9690730.06185360.0309268
1550.9708090.05838130.0291906
1560.9666490.06670150.0333507
1570.9748250.05034990.0251749
1580.9761110.04777790.0238889
1590.9724260.05514740.0275737
1600.9679660.06406760.0320338
1610.9780640.04387230.0219361
1620.9769620.04607660.0230383
1630.9739590.05208290.0260414
1640.9799670.04006650.0200333
1650.9870460.02590780.0129539
1660.9841390.03172150.0158608
1670.9860170.02796590.013983
1680.9852850.02943050.0147152
1690.9825170.03496540.0174827
1700.9805470.03890610.0194531
1710.9783290.0433410.0216705
1720.9827480.03450470.0172523
1730.9789470.04210560.0210528
1740.9750770.04984690.0249234
1750.9705810.05883780.0294189
1760.9734370.05312660.0265633
1770.9683750.06324970.0316249
1780.9729760.05404730.0270236
1790.9673030.0653940.032697
1800.9766020.04679690.0233985
1810.971970.05605980.0280299
1820.966120.06775930.0338797
1830.9733150.05336970.0266848
1840.9675580.0648840.032442
1850.9744830.05103310.0255166
1860.9705060.05898750.0294938
1870.976660.04668080.0233404
1880.9722640.0554730.0277365
1890.9661860.06762860.0338143
1900.9588280.08234310.0411715
1910.9509430.09811480.0490574
1920.9483350.103330.0516648
1930.9535960.09280750.0464037
1940.9580040.08399130.0419957
1950.95090.09819920.0490996
1960.9461640.1076720.0538358
1970.938870.1222610.0611303
1980.9270640.1458710.0729357
1990.92450.1510.0755001
2000.9155510.1688970.0844485
2010.9266670.1466670.0733334
2020.9175550.1648910.0824453
2030.9031440.1937120.096856
2040.8913840.2172310.108616
2050.8824680.2350640.117532
2060.8737340.2525330.126266
2070.871220.2575590.12878
2080.8575330.2849340.142467
2090.8600310.2799380.139969
2100.8492850.3014310.150715
2110.8274340.3451310.172566
2120.8046020.3907960.195398
2130.7896660.4206670.210334
2140.7599030.4801950.240097
2150.7363790.5272420.263621
2160.7127090.5745810.287291
2170.6904980.6190040.309502
2180.7033840.5932330.296616
2190.666650.66670.33335
2200.6400350.719930.359965
2210.6227610.7544780.377239
2220.6454140.7091720.354586
2230.6049160.7901670.395084
2240.5632120.8735770.436788
2250.6194430.7611140.380557
2260.599240.8015190.40076
2270.5693110.8613780.430689
2280.6094010.7811980.390599
2290.65510.6897990.3449
2300.6736020.6527970.326398
2310.6845180.6309630.315482
2320.7197910.5604180.280209
2330.6916310.6167380.308369
2340.6747670.6504650.325233
2350.6493720.7012560.350628
2360.8355610.3288780.164439
2370.8025430.3949140.197457
2380.7882810.4234380.211719
2390.7630190.4739610.236981
2400.7386960.5226090.261304
2410.6955980.6088050.304402
2420.707890.584220.29211
2430.6731320.6537350.326868
2440.7355930.5288140.264407
2450.6891240.6217530.310876
2460.6541450.6917090.345855
2470.625090.749820.37491
2480.590380.819240.40962
2490.5357460.9285090.464254
2500.4945190.9890390.505481
2510.526950.94610.47305
2520.4959680.9919360.504032
2530.4792680.9585360.520732
2540.4475210.8950430.552479
2550.4132940.8265880.586706
2560.4211170.8422350.578883
2570.5020440.9959120.497956
2580.841920.3161610.15808
2590.8238460.3523070.176154
2600.991170.01765990.00882994
2610.9864340.02713170.0135658
2620.9767590.0464830.0232415
2630.991740.01651940.00825968
2640.9843970.03120510.0156025
2650.9767940.04641110.0232056
2660.9588070.08238620.0411931
2670.9438410.1123180.0561588
2680.9162450.1675090.0837547
2690.8782620.2434760.121738
2700.8433870.3132270.156613
2710.8023770.3952470.197623
2720.892050.21590.10795
2730.7916470.4167060.208353







Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level240.0892193NOK
10% type I error level920.342007NOK

\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 & 24 & 0.0892193 & NOK \tabularnewline
10% type I error level & 92 & 0.342007 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=270362&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]24[/C][C]0.0892193[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]92[/C][C]0.342007[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=270362&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=270362&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 level240.0892193NOK
10% type I error level920.342007NOK



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