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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationThu, 11 Dec 2014 11:23:09 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Dec/11/t1418297040yju85t30krdi41e.htm/, Retrieved Thu, 31 Oct 2024 23:21:50 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=265755, Retrieved Thu, 31 Oct 2024 23:21:50 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact129
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Multiple Regression] [4] [2014-12-11 11:23:09] [ec52aa8040970d621dae982cb6b68c16] [Current]
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Dataseries X:
7.5 12 13
6 8 8
6.5 11 14
1 13 16
1 11 14
5.5 10 13
8.5 7 15
6.5 10 13
4.5 15 20
2 12 17
5 12 15
0.5 10 16
5 10 12
5 14 17
2.5 6 11
5 12 16
5.5 14 16
3.5 11 15
3 8 13
4 12 14
0.5 15 19
6.5 13 16
4.5 11 17
7.5 12 10
5.5 7 15
4 11 14
7.5 7 14
7 12 16
4 12 15
5.5 13 17
2.5 9 14
5.5 11 16
3.5 12 15
2.5 15 16
4.5 12 16
4.5 6 10
4.5 5 8
6 13 17
2.5 11 14
5 6 10
0 12 14
5 10 12
6.5 6 16
5 12 16
6 11 16
4.5 6 8
5.5 12 16
1 12 15
7.5 8 8
6 10 13
5 11 14
1 7 13
5 12 16
6.5 13 19
7 14 19
4.5 12 14
0 6 15
8.5 14 13
3.5 10 10
7.5 12 16
3.5 11 15
6 10 11
1.5 7 9
9 12 16
3.5 7 12
3.5 12 12
4 12 14
6.5 10 14
7.5 10 13
6 12 15
5 12 17
5.5 12 14
3.5 8 11
7.5 10 9
6.5 5 7
6.5 10 13
6.5 10 15
7 12 12
3.5 11 15
1.5 9 14
4 12 16
7.5 11 14
4.5 10 13
0 12 16
3.5 10 13
5.5 9 16
5 11 16
4.5 12 16
2.5 7 10
7.5 11 12
7 12 12
0 6 12
4.5 9 12
3 15 19
1.5 10 14
3.5 11 13
2.5 12 16
5.5 12 15
8 12 12
1 11 8
5 9 10
4.5 11 16
3 12 16
3 12 10
8 14 18
2.5 8 12
7 10 16
0 9 10
1 10 14
3.5 9 12
5.5 10 11
5.5 12 15
0.5 11 7
7.5 9 16
9 11 16
9.5 12 16
8.5 12 16
7 7 12
8 12 15
10 12 14
7 12 15
8.5 10 16
9 15 13
9.5 10 10
4 15 17
6 10 15
8 15 18
5.5 9 16
9.5 15 20
7.5 12 16
7 13 17
7.5 12 16
8 12 15
7 8 13
7 9 16
6 15 16
10 12 16
2.5 12 17
9 15 20
8 11 14
6 12 17
8.5 6 6
6 14 16
9 12 15
8 12 16
9 12 16
5.5 11 14
5 12 16
5.5 12 16
9 12 16
2 12 14
8.5 8 14
9 8 16
8.5 12 16
9 12 15
7.5 11 16
10 10 16
9 11 18
7.5 12 15
6 13 16
10.5 12 16
8.5 12 16
8 10 17
10 10 14
10.5 11 18
6.5 8 9
9.5 12 15
8.5 9 14
7.5 12 15
5 9 13
8 11 16
10 15 20
7 8 14
7.5 8 12
7.5 11 15
9.5 11 15
6 11 15
10 13 16
7 7 11
3 12 16
6 8 7
7 8 11
10 4 9
7 11 15
3.5 10 16
8 7 14
10 12 15
5.5 11 13
6 9 13
6.5 10 12
6.5 8 16
8.5 8 14
4 11 16
9.5 12 14
8 10 15
8.5 10 10
5.5 12 16
7 8 14
9 11 16
8 8 12
10 10 16
8 14 16
6 9 15
8 9 14
5 10 16
9 13 11
4.5 12 15
8.5 13 18
7 8 13
8.5 3 7
7.5 8 7
7.5 12 17
5 11 18
7 9 15
8 12 8
5.5 12 13
8.5 12 13
7.5 10 15
7 13 18
8 9 16
8.5 12 14
3.5 11 15
6.5 14 19
6.5 11 16
10.5 9 12
8.5 12 16
8 8 11
10 15 16
10 12 15
9.5 14 19
9 12 15
10 9 14
7.5 9 14
4.5 13 17
4.5 13 16
0.5 15 20
6.5 11 16
4.5 7 9
5.5 10 13
5 11 15
6 14 19
4 14 16
8 13 17
10.5 12 16
8.5 8 9
8 13 11
8.5 9 14
5.5 12 19
7 13 13
5 11 14
3.5 11 15
5 13 15
9 12 14
8.5 12 16
5 10 17
9.5 9 12
3 10 15
1.5 13 17
6 13 15
0.5 9 10
6.5 11 16
7.5 12 15
4.5 8 11
8 12 16
9 12 16
7.5 12 16
8.5 9 14
7 12 14
9.5 12 16
6.5 11 16
9.5 12 18
6 6 14
8 7 20
9.5 10 15
8 12 16
8 10 16
9 12 16
5 9 12




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=265755&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=265755&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265755&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] = + 4.68616 -0.000632717CONFSOFTTOT[t] + 0.103307CONFSTATTOT[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
Ex[t] =  +  4.68616 -0.000632717CONFSOFTTOT[t] +  0.103307CONFSTATTOT[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265755&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]Ex[t] =  +  4.68616 -0.000632717CONFSOFTTOT[t] +  0.103307CONFSTATTOT[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265755&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265755&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] = + 4.68616 -0.000632717CONFSOFTTOT[t] + 0.103307CONFSTATTOT[t] + e[t]







Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)4.686160.8687015.3941.4831e-077.41551e-08
CONFSOFTTOT-0.0006327170.0858133-0.0073730.9941220.497061
CONFSTATTOT0.1033070.07088411.4570.1461460.073073

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Ordinary Least Squares \tabularnewline
Variable & Parameter & S.D. & T-STATH0: parameter = 0 & 2-tail p-value & 1-tail p-value \tabularnewline
(Intercept) & 4.68616 & 0.868701 & 5.394 & 1.4831e-07 & 7.41551e-08 \tabularnewline
CONFSOFTTOT & -0.000632717 & 0.0858133 & -0.007373 & 0.994122 & 0.497061 \tabularnewline
CONFSTATTOT & 0.103307 & 0.0708841 & 1.457 & 0.146146 & 0.073073 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265755&T=2

[TABLE]
[ROW][C]Multiple Linear Regression - Ordinary Least Squares[/C][/ROW]
[ROW][C]Variable[/C][C]Parameter[/C][C]S.D.[/C][C]T-STATH0: parameter = 0[/C][C]2-tail p-value[/C][C]1-tail p-value[/C][/ROW]
[ROW][C](Intercept)[/C][C]4.68616[/C][C]0.868701[/C][C]5.394[/C][C]1.4831e-07[/C][C]7.41551e-08[/C][/ROW]
[ROW][C]CONFSOFTTOT[/C][C]-0.000632717[/C][C]0.0858133[/C][C]-0.007373[/C][C]0.994122[/C][C]0.497061[/C][/ROW]
[ROW][C]CONFSTATTOT[/C][C]0.103307[/C][C]0.0708841[/C][C]1.457[/C][C]0.146146[/C][C]0.073073[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265755&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265755&T=2

As an alternative you can also use a QR Code:  

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

Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)4.686160.8687015.3941.4831e-077.41551e-08
CONFSOFTTOT-0.0006327170.0858133-0.0073730.9941220.497061
CONFSTATTOT0.1033070.07088411.4570.1461460.073073







Multiple Linear Regression - Regression Statistics
Multiple R0.110649
R-squared0.0122433
Adjusted R-squared0.0050596
F-TEST (value)1.70432
F-TEST (DF numerator)2
F-TEST (DF denominator)275
p-value0.183812
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.51748
Sum Squared Residuals1742.87

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.110649 \tabularnewline
R-squared & 0.0122433 \tabularnewline
Adjusted R-squared & 0.0050596 \tabularnewline
F-TEST (value) & 1.70432 \tabularnewline
F-TEST (DF numerator) & 2 \tabularnewline
F-TEST (DF denominator) & 275 \tabularnewline
p-value & 0.183812 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 2.51748 \tabularnewline
Sum Squared Residuals & 1742.87 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265755&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.110649[/C][/ROW]
[ROW][C]R-squared[/C][C]0.0122433[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.0050596[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]1.70432[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]2[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]275[/C][/ROW]
[ROW][C]p-value[/C][C]0.183812[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]2.51748[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]1742.87[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265755&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265755&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 R0.110649
R-squared0.0122433
Adjusted R-squared0.0050596
F-TEST (value)1.70432
F-TEST (DF numerator)2
F-TEST (DF denominator)275
p-value0.183812
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.51748
Sum Squared Residuals1742.87







Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
17.56.021561.47844
265.507560.492444
36.56.12550.374502
416.33085-5.33085
516.1255-5.1255
65.56.02282-0.522824
78.56.231342.26866
86.56.022820.477176
94.56.74281-2.24281
1026.43479-4.43479
1156.22817-1.22817
120.56.33274-5.83274
1355.91952-0.919518
1456.43352-1.43352
152.55.81874-3.31874
1656.33148-1.33148
175.56.33021-0.830213
183.56.2288-2.7288
1936.02409-3.02409
2046.12487-2.12487
210.56.6395-6.1395
226.56.330850.169154
234.56.43542-1.93542
247.55.711641.78836
255.56.23134-0.731336
2646.1255-2.1255
277.56.128031.37197
2876.331480.668521
2946.22817-2.22817
305.56.43415-0.934153
312.56.12676-3.62676
325.56.33211-0.832112
333.56.22817-2.72817
342.56.32958-3.82958
354.56.33148-1.83148
364.55.71544-1.21544
374.55.50945-1.00945
3866.43415-0.434153
392.56.1255-3.6255
4055.71544-0.715435
4106.12487-6.12487
4255.91952-0.919518
436.56.335280.164725
4456.33148-1.33148
4566.33211-0.332112
464.55.50882-1.00882
475.56.33148-0.831479
4816.22817-5.22817
497.55.507561.99244
5066.02282-0.0228243
5156.1255-1.1255
5216.02472-5.02472
5356.33148-1.33148
546.56.64077-0.140766
5576.640130.359866
564.56.12487-1.62487
5706.23197-6.23197
588.56.020292.47971
593.55.7129-2.2129
607.56.331481.16852
613.56.2288-2.7288
6265.816210.183789
631.55.6115-4.1115
6496.331482.66852
653.55.92142-2.42142
663.55.91825-2.41825
6746.12487-2.12487
686.56.126130.373869
697.56.022821.47718
7066.22817-0.228172
7156.43479-1.43479
725.56.12487-0.624866
733.55.81748-2.31748
747.55.60961.8904
756.55.406151.09385
766.56.022820.477176
776.56.229440.270562
7875.918251.08175
793.56.2288-2.7288
801.56.12676-4.62676
8146.33148-2.33148
827.56.12551.3745
834.56.02282-1.52282
8406.33148-6.33148
853.56.02282-2.52282
865.56.33338-0.833377
8756.33211-1.33211
884.56.33148-1.83148
892.55.7148-3.2148
907.55.918881.58112
9175.918251.08175
9205.92205-5.92205
934.55.92015-1.42015
9436.6395-3.6395
951.56.12613-4.62613
963.56.02219-2.52219
972.56.33148-3.83148
985.56.22817-0.728172
9985.918252.08175
10015.50566-4.50566
10155.71354-0.713537
1024.56.33211-1.83211
10336.33148-3.33148
10435.71164-2.71164
10586.536831.46317
1062.55.92078-3.42078
10776.332740.667256
10805.71354-5.71354
10916.12613-5.12613
1103.55.92015-2.42015
1115.55.81621-0.316211
1125.56.22817-0.728172
1130.55.40235-4.90235
1147.56.333381.16662
11596.332112.66789
1169.56.331483.16852
1178.56.331482.16852
11875.921421.07858
11986.228171.77183
120106.124873.87513
12176.228170.771828
1228.56.332742.16726
12396.019662.98034
1249.55.71293.7871
12546.43289-2.43289
12666.22944-0.229438
12786.536191.46381
1285.56.33338-0.833377
1299.56.742812.75719
1307.56.331481.16852
13176.434150.565847
1327.56.331481.16852
13386.228171.77183
13476.024090.97591
13576.333380.666623
13666.32958-0.329581
137106.331483.66852
1382.56.43479-3.93479
13996.742812.25719
14086.12551.8745
14166.43479-0.434786
1428.55.302213.19779
14366.33021-0.330213
14496.228172.77183
14586.331481.66852
14696.331482.66852
1475.56.1255-0.625498
14856.33148-1.33148
1495.56.33148-0.831479
15096.331482.66852
15126.12487-4.12487
1528.56.12742.3726
15396.334012.66599
1548.56.331482.16852
15596.228172.77183
1567.56.332111.16789
157106.332743.66726
15896.538732.46127
1597.56.228171.27183
16066.33085-0.330846
16110.56.331484.16852
1628.56.331482.16852
16386.436051.56395
164106.126133.87387
16510.56.538733.96127
1666.55.610860.889137
1679.56.228173.27183
1688.56.126762.37324
1697.56.228171.27183
17056.02346-1.02346
17186.332111.66789
172106.742813.25719
17376.12740.872604
1747.55.920781.57922
1757.56.22881.2712
1769.56.22883.2712
17766.2288-0.228805
178106.330853.66915
17975.818111.18189
18036.33148-3.33148
18165.404250.59575
18275.817481.18252
183105.613394.38661
18476.22880.771195
1853.56.33274-2.83274
18686.128031.87197
187106.228173.77183
1885.56.02219-0.522192
18966.02346-0.0234571
1906.55.919520.580482
1916.56.334010.16599
1928.56.12742.3726
19346.33211-2.33211
1949.56.124873.37513
19586.229441.77056
1968.55.71292.7871
1975.56.33148-0.831479
19876.12740.872604
19996.332112.66789
20085.920782.07922
201106.332743.66726
20286.330211.66979
20366.23007-0.23007
20486.126761.87324
20556.33274-1.33274
20695.814313.18569
2074.56.22817-1.72817
2088.56.537461.96254
20976.024090.97591
2108.55.407413.09259
2117.55.404252.09575
2127.56.434791.06521
21356.53873-1.53873
21476.230070.76993
21585.505032.49497
2165.56.02156-0.521559
2178.56.021562.47844
2187.56.229441.27056
21976.537460.46254
22086.333381.66662
2218.56.124872.37513
2223.56.2288-2.7288
2236.56.64013-0.140134
2246.56.332110.167888
22510.55.920154.57985
2268.56.331482.16852
22785.817482.18252
228106.329583.67042
229106.228173.77183
2309.56.640132.85987
23196.228172.77183
232106.126763.87324
2337.56.126761.37324
2344.56.43415-1.93415
2354.56.33085-1.83085
2360.56.74281-6.24281
2376.56.332110.167888
2384.55.6115-1.1115
2395.56.02282-0.522824
24056.2288-1.2288
24166.64013-0.640134
24246.33021-2.33021
24386.434151.56585
24410.56.331484.16852
2458.55.610862.88914
24685.814312.18569
2478.56.126762.37324
2485.56.6414-1.1414
24976.020930.979074
25056.1255-1.1255
2513.56.2288-2.7288
25256.22754-1.22754
25396.124872.87513
2548.56.331482.16852
25556.43605-1.43605
2569.55.920153.57985
25736.22944-3.22944
2581.56.43415-4.93415
25966.22754-0.22754
2600.55.71354-5.21354
2616.56.332110.167888
2627.56.228171.27183
2634.55.81748-1.31748
26486.331481.66852
26596.331482.66852
2667.56.331481.16852
2678.56.126762.37324
26876.124870.875134
2699.56.331483.16852
2706.56.332110.167888
2719.56.538092.96191
27266.12866-0.128662
27386.747871.25213
2749.56.229443.27056
27586.331481.66852
27686.332741.66726
27796.331482.66852
27855.92015-0.92015

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 7.5 & 6.02156 & 1.47844 \tabularnewline
2 & 6 & 5.50756 & 0.492444 \tabularnewline
3 & 6.5 & 6.1255 & 0.374502 \tabularnewline
4 & 1 & 6.33085 & -5.33085 \tabularnewline
5 & 1 & 6.1255 & -5.1255 \tabularnewline
6 & 5.5 & 6.02282 & -0.522824 \tabularnewline
7 & 8.5 & 6.23134 & 2.26866 \tabularnewline
8 & 6.5 & 6.02282 & 0.477176 \tabularnewline
9 & 4.5 & 6.74281 & -2.24281 \tabularnewline
10 & 2 & 6.43479 & -4.43479 \tabularnewline
11 & 5 & 6.22817 & -1.22817 \tabularnewline
12 & 0.5 & 6.33274 & -5.83274 \tabularnewline
13 & 5 & 5.91952 & -0.919518 \tabularnewline
14 & 5 & 6.43352 & -1.43352 \tabularnewline
15 & 2.5 & 5.81874 & -3.31874 \tabularnewline
16 & 5 & 6.33148 & -1.33148 \tabularnewline
17 & 5.5 & 6.33021 & -0.830213 \tabularnewline
18 & 3.5 & 6.2288 & -2.7288 \tabularnewline
19 & 3 & 6.02409 & -3.02409 \tabularnewline
20 & 4 & 6.12487 & -2.12487 \tabularnewline
21 & 0.5 & 6.6395 & -6.1395 \tabularnewline
22 & 6.5 & 6.33085 & 0.169154 \tabularnewline
23 & 4.5 & 6.43542 & -1.93542 \tabularnewline
24 & 7.5 & 5.71164 & 1.78836 \tabularnewline
25 & 5.5 & 6.23134 & -0.731336 \tabularnewline
26 & 4 & 6.1255 & -2.1255 \tabularnewline
27 & 7.5 & 6.12803 & 1.37197 \tabularnewline
28 & 7 & 6.33148 & 0.668521 \tabularnewline
29 & 4 & 6.22817 & -2.22817 \tabularnewline
30 & 5.5 & 6.43415 & -0.934153 \tabularnewline
31 & 2.5 & 6.12676 & -3.62676 \tabularnewline
32 & 5.5 & 6.33211 & -0.832112 \tabularnewline
33 & 3.5 & 6.22817 & -2.72817 \tabularnewline
34 & 2.5 & 6.32958 & -3.82958 \tabularnewline
35 & 4.5 & 6.33148 & -1.83148 \tabularnewline
36 & 4.5 & 5.71544 & -1.21544 \tabularnewline
37 & 4.5 & 5.50945 & -1.00945 \tabularnewline
38 & 6 & 6.43415 & -0.434153 \tabularnewline
39 & 2.5 & 6.1255 & -3.6255 \tabularnewline
40 & 5 & 5.71544 & -0.715435 \tabularnewline
41 & 0 & 6.12487 & -6.12487 \tabularnewline
42 & 5 & 5.91952 & -0.919518 \tabularnewline
43 & 6.5 & 6.33528 & 0.164725 \tabularnewline
44 & 5 & 6.33148 & -1.33148 \tabularnewline
45 & 6 & 6.33211 & -0.332112 \tabularnewline
46 & 4.5 & 5.50882 & -1.00882 \tabularnewline
47 & 5.5 & 6.33148 & -0.831479 \tabularnewline
48 & 1 & 6.22817 & -5.22817 \tabularnewline
49 & 7.5 & 5.50756 & 1.99244 \tabularnewline
50 & 6 & 6.02282 & -0.0228243 \tabularnewline
51 & 5 & 6.1255 & -1.1255 \tabularnewline
52 & 1 & 6.02472 & -5.02472 \tabularnewline
53 & 5 & 6.33148 & -1.33148 \tabularnewline
54 & 6.5 & 6.64077 & -0.140766 \tabularnewline
55 & 7 & 6.64013 & 0.359866 \tabularnewline
56 & 4.5 & 6.12487 & -1.62487 \tabularnewline
57 & 0 & 6.23197 & -6.23197 \tabularnewline
58 & 8.5 & 6.02029 & 2.47971 \tabularnewline
59 & 3.5 & 5.7129 & -2.2129 \tabularnewline
60 & 7.5 & 6.33148 & 1.16852 \tabularnewline
61 & 3.5 & 6.2288 & -2.7288 \tabularnewline
62 & 6 & 5.81621 & 0.183789 \tabularnewline
63 & 1.5 & 5.6115 & -4.1115 \tabularnewline
64 & 9 & 6.33148 & 2.66852 \tabularnewline
65 & 3.5 & 5.92142 & -2.42142 \tabularnewline
66 & 3.5 & 5.91825 & -2.41825 \tabularnewline
67 & 4 & 6.12487 & -2.12487 \tabularnewline
68 & 6.5 & 6.12613 & 0.373869 \tabularnewline
69 & 7.5 & 6.02282 & 1.47718 \tabularnewline
70 & 6 & 6.22817 & -0.228172 \tabularnewline
71 & 5 & 6.43479 & -1.43479 \tabularnewline
72 & 5.5 & 6.12487 & -0.624866 \tabularnewline
73 & 3.5 & 5.81748 & -2.31748 \tabularnewline
74 & 7.5 & 5.6096 & 1.8904 \tabularnewline
75 & 6.5 & 5.40615 & 1.09385 \tabularnewline
76 & 6.5 & 6.02282 & 0.477176 \tabularnewline
77 & 6.5 & 6.22944 & 0.270562 \tabularnewline
78 & 7 & 5.91825 & 1.08175 \tabularnewline
79 & 3.5 & 6.2288 & -2.7288 \tabularnewline
80 & 1.5 & 6.12676 & -4.62676 \tabularnewline
81 & 4 & 6.33148 & -2.33148 \tabularnewline
82 & 7.5 & 6.1255 & 1.3745 \tabularnewline
83 & 4.5 & 6.02282 & -1.52282 \tabularnewline
84 & 0 & 6.33148 & -6.33148 \tabularnewline
85 & 3.5 & 6.02282 & -2.52282 \tabularnewline
86 & 5.5 & 6.33338 & -0.833377 \tabularnewline
87 & 5 & 6.33211 & -1.33211 \tabularnewline
88 & 4.5 & 6.33148 & -1.83148 \tabularnewline
89 & 2.5 & 5.7148 & -3.2148 \tabularnewline
90 & 7.5 & 5.91888 & 1.58112 \tabularnewline
91 & 7 & 5.91825 & 1.08175 \tabularnewline
92 & 0 & 5.92205 & -5.92205 \tabularnewline
93 & 4.5 & 5.92015 & -1.42015 \tabularnewline
94 & 3 & 6.6395 & -3.6395 \tabularnewline
95 & 1.5 & 6.12613 & -4.62613 \tabularnewline
96 & 3.5 & 6.02219 & -2.52219 \tabularnewline
97 & 2.5 & 6.33148 & -3.83148 \tabularnewline
98 & 5.5 & 6.22817 & -0.728172 \tabularnewline
99 & 8 & 5.91825 & 2.08175 \tabularnewline
100 & 1 & 5.50566 & -4.50566 \tabularnewline
101 & 5 & 5.71354 & -0.713537 \tabularnewline
102 & 4.5 & 6.33211 & -1.83211 \tabularnewline
103 & 3 & 6.33148 & -3.33148 \tabularnewline
104 & 3 & 5.71164 & -2.71164 \tabularnewline
105 & 8 & 6.53683 & 1.46317 \tabularnewline
106 & 2.5 & 5.92078 & -3.42078 \tabularnewline
107 & 7 & 6.33274 & 0.667256 \tabularnewline
108 & 0 & 5.71354 & -5.71354 \tabularnewline
109 & 1 & 6.12613 & -5.12613 \tabularnewline
110 & 3.5 & 5.92015 & -2.42015 \tabularnewline
111 & 5.5 & 5.81621 & -0.316211 \tabularnewline
112 & 5.5 & 6.22817 & -0.728172 \tabularnewline
113 & 0.5 & 5.40235 & -4.90235 \tabularnewline
114 & 7.5 & 6.33338 & 1.16662 \tabularnewline
115 & 9 & 6.33211 & 2.66789 \tabularnewline
116 & 9.5 & 6.33148 & 3.16852 \tabularnewline
117 & 8.5 & 6.33148 & 2.16852 \tabularnewline
118 & 7 & 5.92142 & 1.07858 \tabularnewline
119 & 8 & 6.22817 & 1.77183 \tabularnewline
120 & 10 & 6.12487 & 3.87513 \tabularnewline
121 & 7 & 6.22817 & 0.771828 \tabularnewline
122 & 8.5 & 6.33274 & 2.16726 \tabularnewline
123 & 9 & 6.01966 & 2.98034 \tabularnewline
124 & 9.5 & 5.7129 & 3.7871 \tabularnewline
125 & 4 & 6.43289 & -2.43289 \tabularnewline
126 & 6 & 6.22944 & -0.229438 \tabularnewline
127 & 8 & 6.53619 & 1.46381 \tabularnewline
128 & 5.5 & 6.33338 & -0.833377 \tabularnewline
129 & 9.5 & 6.74281 & 2.75719 \tabularnewline
130 & 7.5 & 6.33148 & 1.16852 \tabularnewline
131 & 7 & 6.43415 & 0.565847 \tabularnewline
132 & 7.5 & 6.33148 & 1.16852 \tabularnewline
133 & 8 & 6.22817 & 1.77183 \tabularnewline
134 & 7 & 6.02409 & 0.97591 \tabularnewline
135 & 7 & 6.33338 & 0.666623 \tabularnewline
136 & 6 & 6.32958 & -0.329581 \tabularnewline
137 & 10 & 6.33148 & 3.66852 \tabularnewline
138 & 2.5 & 6.43479 & -3.93479 \tabularnewline
139 & 9 & 6.74281 & 2.25719 \tabularnewline
140 & 8 & 6.1255 & 1.8745 \tabularnewline
141 & 6 & 6.43479 & -0.434786 \tabularnewline
142 & 8.5 & 5.30221 & 3.19779 \tabularnewline
143 & 6 & 6.33021 & -0.330213 \tabularnewline
144 & 9 & 6.22817 & 2.77183 \tabularnewline
145 & 8 & 6.33148 & 1.66852 \tabularnewline
146 & 9 & 6.33148 & 2.66852 \tabularnewline
147 & 5.5 & 6.1255 & -0.625498 \tabularnewline
148 & 5 & 6.33148 & -1.33148 \tabularnewline
149 & 5.5 & 6.33148 & -0.831479 \tabularnewline
150 & 9 & 6.33148 & 2.66852 \tabularnewline
151 & 2 & 6.12487 & -4.12487 \tabularnewline
152 & 8.5 & 6.1274 & 2.3726 \tabularnewline
153 & 9 & 6.33401 & 2.66599 \tabularnewline
154 & 8.5 & 6.33148 & 2.16852 \tabularnewline
155 & 9 & 6.22817 & 2.77183 \tabularnewline
156 & 7.5 & 6.33211 & 1.16789 \tabularnewline
157 & 10 & 6.33274 & 3.66726 \tabularnewline
158 & 9 & 6.53873 & 2.46127 \tabularnewline
159 & 7.5 & 6.22817 & 1.27183 \tabularnewline
160 & 6 & 6.33085 & -0.330846 \tabularnewline
161 & 10.5 & 6.33148 & 4.16852 \tabularnewline
162 & 8.5 & 6.33148 & 2.16852 \tabularnewline
163 & 8 & 6.43605 & 1.56395 \tabularnewline
164 & 10 & 6.12613 & 3.87387 \tabularnewline
165 & 10.5 & 6.53873 & 3.96127 \tabularnewline
166 & 6.5 & 5.61086 & 0.889137 \tabularnewline
167 & 9.5 & 6.22817 & 3.27183 \tabularnewline
168 & 8.5 & 6.12676 & 2.37324 \tabularnewline
169 & 7.5 & 6.22817 & 1.27183 \tabularnewline
170 & 5 & 6.02346 & -1.02346 \tabularnewline
171 & 8 & 6.33211 & 1.66789 \tabularnewline
172 & 10 & 6.74281 & 3.25719 \tabularnewline
173 & 7 & 6.1274 & 0.872604 \tabularnewline
174 & 7.5 & 5.92078 & 1.57922 \tabularnewline
175 & 7.5 & 6.2288 & 1.2712 \tabularnewline
176 & 9.5 & 6.2288 & 3.2712 \tabularnewline
177 & 6 & 6.2288 & -0.228805 \tabularnewline
178 & 10 & 6.33085 & 3.66915 \tabularnewline
179 & 7 & 5.81811 & 1.18189 \tabularnewline
180 & 3 & 6.33148 & -3.33148 \tabularnewline
181 & 6 & 5.40425 & 0.59575 \tabularnewline
182 & 7 & 5.81748 & 1.18252 \tabularnewline
183 & 10 & 5.61339 & 4.38661 \tabularnewline
184 & 7 & 6.2288 & 0.771195 \tabularnewline
185 & 3.5 & 6.33274 & -2.83274 \tabularnewline
186 & 8 & 6.12803 & 1.87197 \tabularnewline
187 & 10 & 6.22817 & 3.77183 \tabularnewline
188 & 5.5 & 6.02219 & -0.522192 \tabularnewline
189 & 6 & 6.02346 & -0.0234571 \tabularnewline
190 & 6.5 & 5.91952 & 0.580482 \tabularnewline
191 & 6.5 & 6.33401 & 0.16599 \tabularnewline
192 & 8.5 & 6.1274 & 2.3726 \tabularnewline
193 & 4 & 6.33211 & -2.33211 \tabularnewline
194 & 9.5 & 6.12487 & 3.37513 \tabularnewline
195 & 8 & 6.22944 & 1.77056 \tabularnewline
196 & 8.5 & 5.7129 & 2.7871 \tabularnewline
197 & 5.5 & 6.33148 & -0.831479 \tabularnewline
198 & 7 & 6.1274 & 0.872604 \tabularnewline
199 & 9 & 6.33211 & 2.66789 \tabularnewline
200 & 8 & 5.92078 & 2.07922 \tabularnewline
201 & 10 & 6.33274 & 3.66726 \tabularnewline
202 & 8 & 6.33021 & 1.66979 \tabularnewline
203 & 6 & 6.23007 & -0.23007 \tabularnewline
204 & 8 & 6.12676 & 1.87324 \tabularnewline
205 & 5 & 6.33274 & -1.33274 \tabularnewline
206 & 9 & 5.81431 & 3.18569 \tabularnewline
207 & 4.5 & 6.22817 & -1.72817 \tabularnewline
208 & 8.5 & 6.53746 & 1.96254 \tabularnewline
209 & 7 & 6.02409 & 0.97591 \tabularnewline
210 & 8.5 & 5.40741 & 3.09259 \tabularnewline
211 & 7.5 & 5.40425 & 2.09575 \tabularnewline
212 & 7.5 & 6.43479 & 1.06521 \tabularnewline
213 & 5 & 6.53873 & -1.53873 \tabularnewline
214 & 7 & 6.23007 & 0.76993 \tabularnewline
215 & 8 & 5.50503 & 2.49497 \tabularnewline
216 & 5.5 & 6.02156 & -0.521559 \tabularnewline
217 & 8.5 & 6.02156 & 2.47844 \tabularnewline
218 & 7.5 & 6.22944 & 1.27056 \tabularnewline
219 & 7 & 6.53746 & 0.46254 \tabularnewline
220 & 8 & 6.33338 & 1.66662 \tabularnewline
221 & 8.5 & 6.12487 & 2.37513 \tabularnewline
222 & 3.5 & 6.2288 & -2.7288 \tabularnewline
223 & 6.5 & 6.64013 & -0.140134 \tabularnewline
224 & 6.5 & 6.33211 & 0.167888 \tabularnewline
225 & 10.5 & 5.92015 & 4.57985 \tabularnewline
226 & 8.5 & 6.33148 & 2.16852 \tabularnewline
227 & 8 & 5.81748 & 2.18252 \tabularnewline
228 & 10 & 6.32958 & 3.67042 \tabularnewline
229 & 10 & 6.22817 & 3.77183 \tabularnewline
230 & 9.5 & 6.64013 & 2.85987 \tabularnewline
231 & 9 & 6.22817 & 2.77183 \tabularnewline
232 & 10 & 6.12676 & 3.87324 \tabularnewline
233 & 7.5 & 6.12676 & 1.37324 \tabularnewline
234 & 4.5 & 6.43415 & -1.93415 \tabularnewline
235 & 4.5 & 6.33085 & -1.83085 \tabularnewline
236 & 0.5 & 6.74281 & -6.24281 \tabularnewline
237 & 6.5 & 6.33211 & 0.167888 \tabularnewline
238 & 4.5 & 5.6115 & -1.1115 \tabularnewline
239 & 5.5 & 6.02282 & -0.522824 \tabularnewline
240 & 5 & 6.2288 & -1.2288 \tabularnewline
241 & 6 & 6.64013 & -0.640134 \tabularnewline
242 & 4 & 6.33021 & -2.33021 \tabularnewline
243 & 8 & 6.43415 & 1.56585 \tabularnewline
244 & 10.5 & 6.33148 & 4.16852 \tabularnewline
245 & 8.5 & 5.61086 & 2.88914 \tabularnewline
246 & 8 & 5.81431 & 2.18569 \tabularnewline
247 & 8.5 & 6.12676 & 2.37324 \tabularnewline
248 & 5.5 & 6.6414 & -1.1414 \tabularnewline
249 & 7 & 6.02093 & 0.979074 \tabularnewline
250 & 5 & 6.1255 & -1.1255 \tabularnewline
251 & 3.5 & 6.2288 & -2.7288 \tabularnewline
252 & 5 & 6.22754 & -1.22754 \tabularnewline
253 & 9 & 6.12487 & 2.87513 \tabularnewline
254 & 8.5 & 6.33148 & 2.16852 \tabularnewline
255 & 5 & 6.43605 & -1.43605 \tabularnewline
256 & 9.5 & 5.92015 & 3.57985 \tabularnewline
257 & 3 & 6.22944 & -3.22944 \tabularnewline
258 & 1.5 & 6.43415 & -4.93415 \tabularnewline
259 & 6 & 6.22754 & -0.22754 \tabularnewline
260 & 0.5 & 5.71354 & -5.21354 \tabularnewline
261 & 6.5 & 6.33211 & 0.167888 \tabularnewline
262 & 7.5 & 6.22817 & 1.27183 \tabularnewline
263 & 4.5 & 5.81748 & -1.31748 \tabularnewline
264 & 8 & 6.33148 & 1.66852 \tabularnewline
265 & 9 & 6.33148 & 2.66852 \tabularnewline
266 & 7.5 & 6.33148 & 1.16852 \tabularnewline
267 & 8.5 & 6.12676 & 2.37324 \tabularnewline
268 & 7 & 6.12487 & 0.875134 \tabularnewline
269 & 9.5 & 6.33148 & 3.16852 \tabularnewline
270 & 6.5 & 6.33211 & 0.167888 \tabularnewline
271 & 9.5 & 6.53809 & 2.96191 \tabularnewline
272 & 6 & 6.12866 & -0.128662 \tabularnewline
273 & 8 & 6.74787 & 1.25213 \tabularnewline
274 & 9.5 & 6.22944 & 3.27056 \tabularnewline
275 & 8 & 6.33148 & 1.66852 \tabularnewline
276 & 8 & 6.33274 & 1.66726 \tabularnewline
277 & 9 & 6.33148 & 2.66852 \tabularnewline
278 & 5 & 5.92015 & -0.92015 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265755&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]6.02156[/C][C]1.47844[/C][/ROW]
[ROW][C]2[/C][C]6[/C][C]5.50756[/C][C]0.492444[/C][/ROW]
[ROW][C]3[/C][C]6.5[/C][C]6.1255[/C][C]0.374502[/C][/ROW]
[ROW][C]4[/C][C]1[/C][C]6.33085[/C][C]-5.33085[/C][/ROW]
[ROW][C]5[/C][C]1[/C][C]6.1255[/C][C]-5.1255[/C][/ROW]
[ROW][C]6[/C][C]5.5[/C][C]6.02282[/C][C]-0.522824[/C][/ROW]
[ROW][C]7[/C][C]8.5[/C][C]6.23134[/C][C]2.26866[/C][/ROW]
[ROW][C]8[/C][C]6.5[/C][C]6.02282[/C][C]0.477176[/C][/ROW]
[ROW][C]9[/C][C]4.5[/C][C]6.74281[/C][C]-2.24281[/C][/ROW]
[ROW][C]10[/C][C]2[/C][C]6.43479[/C][C]-4.43479[/C][/ROW]
[ROW][C]11[/C][C]5[/C][C]6.22817[/C][C]-1.22817[/C][/ROW]
[ROW][C]12[/C][C]0.5[/C][C]6.33274[/C][C]-5.83274[/C][/ROW]
[ROW][C]13[/C][C]5[/C][C]5.91952[/C][C]-0.919518[/C][/ROW]
[ROW][C]14[/C][C]5[/C][C]6.43352[/C][C]-1.43352[/C][/ROW]
[ROW][C]15[/C][C]2.5[/C][C]5.81874[/C][C]-3.31874[/C][/ROW]
[ROW][C]16[/C][C]5[/C][C]6.33148[/C][C]-1.33148[/C][/ROW]
[ROW][C]17[/C][C]5.5[/C][C]6.33021[/C][C]-0.830213[/C][/ROW]
[ROW][C]18[/C][C]3.5[/C][C]6.2288[/C][C]-2.7288[/C][/ROW]
[ROW][C]19[/C][C]3[/C][C]6.02409[/C][C]-3.02409[/C][/ROW]
[ROW][C]20[/C][C]4[/C][C]6.12487[/C][C]-2.12487[/C][/ROW]
[ROW][C]21[/C][C]0.5[/C][C]6.6395[/C][C]-6.1395[/C][/ROW]
[ROW][C]22[/C][C]6.5[/C][C]6.33085[/C][C]0.169154[/C][/ROW]
[ROW][C]23[/C][C]4.5[/C][C]6.43542[/C][C]-1.93542[/C][/ROW]
[ROW][C]24[/C][C]7.5[/C][C]5.71164[/C][C]1.78836[/C][/ROW]
[ROW][C]25[/C][C]5.5[/C][C]6.23134[/C][C]-0.731336[/C][/ROW]
[ROW][C]26[/C][C]4[/C][C]6.1255[/C][C]-2.1255[/C][/ROW]
[ROW][C]27[/C][C]7.5[/C][C]6.12803[/C][C]1.37197[/C][/ROW]
[ROW][C]28[/C][C]7[/C][C]6.33148[/C][C]0.668521[/C][/ROW]
[ROW][C]29[/C][C]4[/C][C]6.22817[/C][C]-2.22817[/C][/ROW]
[ROW][C]30[/C][C]5.5[/C][C]6.43415[/C][C]-0.934153[/C][/ROW]
[ROW][C]31[/C][C]2.5[/C][C]6.12676[/C][C]-3.62676[/C][/ROW]
[ROW][C]32[/C][C]5.5[/C][C]6.33211[/C][C]-0.832112[/C][/ROW]
[ROW][C]33[/C][C]3.5[/C][C]6.22817[/C][C]-2.72817[/C][/ROW]
[ROW][C]34[/C][C]2.5[/C][C]6.32958[/C][C]-3.82958[/C][/ROW]
[ROW][C]35[/C][C]4.5[/C][C]6.33148[/C][C]-1.83148[/C][/ROW]
[ROW][C]36[/C][C]4.5[/C][C]5.71544[/C][C]-1.21544[/C][/ROW]
[ROW][C]37[/C][C]4.5[/C][C]5.50945[/C][C]-1.00945[/C][/ROW]
[ROW][C]38[/C][C]6[/C][C]6.43415[/C][C]-0.434153[/C][/ROW]
[ROW][C]39[/C][C]2.5[/C][C]6.1255[/C][C]-3.6255[/C][/ROW]
[ROW][C]40[/C][C]5[/C][C]5.71544[/C][C]-0.715435[/C][/ROW]
[ROW][C]41[/C][C]0[/C][C]6.12487[/C][C]-6.12487[/C][/ROW]
[ROW][C]42[/C][C]5[/C][C]5.91952[/C][C]-0.919518[/C][/ROW]
[ROW][C]43[/C][C]6.5[/C][C]6.33528[/C][C]0.164725[/C][/ROW]
[ROW][C]44[/C][C]5[/C][C]6.33148[/C][C]-1.33148[/C][/ROW]
[ROW][C]45[/C][C]6[/C][C]6.33211[/C][C]-0.332112[/C][/ROW]
[ROW][C]46[/C][C]4.5[/C][C]5.50882[/C][C]-1.00882[/C][/ROW]
[ROW][C]47[/C][C]5.5[/C][C]6.33148[/C][C]-0.831479[/C][/ROW]
[ROW][C]48[/C][C]1[/C][C]6.22817[/C][C]-5.22817[/C][/ROW]
[ROW][C]49[/C][C]7.5[/C][C]5.50756[/C][C]1.99244[/C][/ROW]
[ROW][C]50[/C][C]6[/C][C]6.02282[/C][C]-0.0228243[/C][/ROW]
[ROW][C]51[/C][C]5[/C][C]6.1255[/C][C]-1.1255[/C][/ROW]
[ROW][C]52[/C][C]1[/C][C]6.02472[/C][C]-5.02472[/C][/ROW]
[ROW][C]53[/C][C]5[/C][C]6.33148[/C][C]-1.33148[/C][/ROW]
[ROW][C]54[/C][C]6.5[/C][C]6.64077[/C][C]-0.140766[/C][/ROW]
[ROW][C]55[/C][C]7[/C][C]6.64013[/C][C]0.359866[/C][/ROW]
[ROW][C]56[/C][C]4.5[/C][C]6.12487[/C][C]-1.62487[/C][/ROW]
[ROW][C]57[/C][C]0[/C][C]6.23197[/C][C]-6.23197[/C][/ROW]
[ROW][C]58[/C][C]8.5[/C][C]6.02029[/C][C]2.47971[/C][/ROW]
[ROW][C]59[/C][C]3.5[/C][C]5.7129[/C][C]-2.2129[/C][/ROW]
[ROW][C]60[/C][C]7.5[/C][C]6.33148[/C][C]1.16852[/C][/ROW]
[ROW][C]61[/C][C]3.5[/C][C]6.2288[/C][C]-2.7288[/C][/ROW]
[ROW][C]62[/C][C]6[/C][C]5.81621[/C][C]0.183789[/C][/ROW]
[ROW][C]63[/C][C]1.5[/C][C]5.6115[/C][C]-4.1115[/C][/ROW]
[ROW][C]64[/C][C]9[/C][C]6.33148[/C][C]2.66852[/C][/ROW]
[ROW][C]65[/C][C]3.5[/C][C]5.92142[/C][C]-2.42142[/C][/ROW]
[ROW][C]66[/C][C]3.5[/C][C]5.91825[/C][C]-2.41825[/C][/ROW]
[ROW][C]67[/C][C]4[/C][C]6.12487[/C][C]-2.12487[/C][/ROW]
[ROW][C]68[/C][C]6.5[/C][C]6.12613[/C][C]0.373869[/C][/ROW]
[ROW][C]69[/C][C]7.5[/C][C]6.02282[/C][C]1.47718[/C][/ROW]
[ROW][C]70[/C][C]6[/C][C]6.22817[/C][C]-0.228172[/C][/ROW]
[ROW][C]71[/C][C]5[/C][C]6.43479[/C][C]-1.43479[/C][/ROW]
[ROW][C]72[/C][C]5.5[/C][C]6.12487[/C][C]-0.624866[/C][/ROW]
[ROW][C]73[/C][C]3.5[/C][C]5.81748[/C][C]-2.31748[/C][/ROW]
[ROW][C]74[/C][C]7.5[/C][C]5.6096[/C][C]1.8904[/C][/ROW]
[ROW][C]75[/C][C]6.5[/C][C]5.40615[/C][C]1.09385[/C][/ROW]
[ROW][C]76[/C][C]6.5[/C][C]6.02282[/C][C]0.477176[/C][/ROW]
[ROW][C]77[/C][C]6.5[/C][C]6.22944[/C][C]0.270562[/C][/ROW]
[ROW][C]78[/C][C]7[/C][C]5.91825[/C][C]1.08175[/C][/ROW]
[ROW][C]79[/C][C]3.5[/C][C]6.2288[/C][C]-2.7288[/C][/ROW]
[ROW][C]80[/C][C]1.5[/C][C]6.12676[/C][C]-4.62676[/C][/ROW]
[ROW][C]81[/C][C]4[/C][C]6.33148[/C][C]-2.33148[/C][/ROW]
[ROW][C]82[/C][C]7.5[/C][C]6.1255[/C][C]1.3745[/C][/ROW]
[ROW][C]83[/C][C]4.5[/C][C]6.02282[/C][C]-1.52282[/C][/ROW]
[ROW][C]84[/C][C]0[/C][C]6.33148[/C][C]-6.33148[/C][/ROW]
[ROW][C]85[/C][C]3.5[/C][C]6.02282[/C][C]-2.52282[/C][/ROW]
[ROW][C]86[/C][C]5.5[/C][C]6.33338[/C][C]-0.833377[/C][/ROW]
[ROW][C]87[/C][C]5[/C][C]6.33211[/C][C]-1.33211[/C][/ROW]
[ROW][C]88[/C][C]4.5[/C][C]6.33148[/C][C]-1.83148[/C][/ROW]
[ROW][C]89[/C][C]2.5[/C][C]5.7148[/C][C]-3.2148[/C][/ROW]
[ROW][C]90[/C][C]7.5[/C][C]5.91888[/C][C]1.58112[/C][/ROW]
[ROW][C]91[/C][C]7[/C][C]5.91825[/C][C]1.08175[/C][/ROW]
[ROW][C]92[/C][C]0[/C][C]5.92205[/C][C]-5.92205[/C][/ROW]
[ROW][C]93[/C][C]4.5[/C][C]5.92015[/C][C]-1.42015[/C][/ROW]
[ROW][C]94[/C][C]3[/C][C]6.6395[/C][C]-3.6395[/C][/ROW]
[ROW][C]95[/C][C]1.5[/C][C]6.12613[/C][C]-4.62613[/C][/ROW]
[ROW][C]96[/C][C]3.5[/C][C]6.02219[/C][C]-2.52219[/C][/ROW]
[ROW][C]97[/C][C]2.5[/C][C]6.33148[/C][C]-3.83148[/C][/ROW]
[ROW][C]98[/C][C]5.5[/C][C]6.22817[/C][C]-0.728172[/C][/ROW]
[ROW][C]99[/C][C]8[/C][C]5.91825[/C][C]2.08175[/C][/ROW]
[ROW][C]100[/C][C]1[/C][C]5.50566[/C][C]-4.50566[/C][/ROW]
[ROW][C]101[/C][C]5[/C][C]5.71354[/C][C]-0.713537[/C][/ROW]
[ROW][C]102[/C][C]4.5[/C][C]6.33211[/C][C]-1.83211[/C][/ROW]
[ROW][C]103[/C][C]3[/C][C]6.33148[/C][C]-3.33148[/C][/ROW]
[ROW][C]104[/C][C]3[/C][C]5.71164[/C][C]-2.71164[/C][/ROW]
[ROW][C]105[/C][C]8[/C][C]6.53683[/C][C]1.46317[/C][/ROW]
[ROW][C]106[/C][C]2.5[/C][C]5.92078[/C][C]-3.42078[/C][/ROW]
[ROW][C]107[/C][C]7[/C][C]6.33274[/C][C]0.667256[/C][/ROW]
[ROW][C]108[/C][C]0[/C][C]5.71354[/C][C]-5.71354[/C][/ROW]
[ROW][C]109[/C][C]1[/C][C]6.12613[/C][C]-5.12613[/C][/ROW]
[ROW][C]110[/C][C]3.5[/C][C]5.92015[/C][C]-2.42015[/C][/ROW]
[ROW][C]111[/C][C]5.5[/C][C]5.81621[/C][C]-0.316211[/C][/ROW]
[ROW][C]112[/C][C]5.5[/C][C]6.22817[/C][C]-0.728172[/C][/ROW]
[ROW][C]113[/C][C]0.5[/C][C]5.40235[/C][C]-4.90235[/C][/ROW]
[ROW][C]114[/C][C]7.5[/C][C]6.33338[/C][C]1.16662[/C][/ROW]
[ROW][C]115[/C][C]9[/C][C]6.33211[/C][C]2.66789[/C][/ROW]
[ROW][C]116[/C][C]9.5[/C][C]6.33148[/C][C]3.16852[/C][/ROW]
[ROW][C]117[/C][C]8.5[/C][C]6.33148[/C][C]2.16852[/C][/ROW]
[ROW][C]118[/C][C]7[/C][C]5.92142[/C][C]1.07858[/C][/ROW]
[ROW][C]119[/C][C]8[/C][C]6.22817[/C][C]1.77183[/C][/ROW]
[ROW][C]120[/C][C]10[/C][C]6.12487[/C][C]3.87513[/C][/ROW]
[ROW][C]121[/C][C]7[/C][C]6.22817[/C][C]0.771828[/C][/ROW]
[ROW][C]122[/C][C]8.5[/C][C]6.33274[/C][C]2.16726[/C][/ROW]
[ROW][C]123[/C][C]9[/C][C]6.01966[/C][C]2.98034[/C][/ROW]
[ROW][C]124[/C][C]9.5[/C][C]5.7129[/C][C]3.7871[/C][/ROW]
[ROW][C]125[/C][C]4[/C][C]6.43289[/C][C]-2.43289[/C][/ROW]
[ROW][C]126[/C][C]6[/C][C]6.22944[/C][C]-0.229438[/C][/ROW]
[ROW][C]127[/C][C]8[/C][C]6.53619[/C][C]1.46381[/C][/ROW]
[ROW][C]128[/C][C]5.5[/C][C]6.33338[/C][C]-0.833377[/C][/ROW]
[ROW][C]129[/C][C]9.5[/C][C]6.74281[/C][C]2.75719[/C][/ROW]
[ROW][C]130[/C][C]7.5[/C][C]6.33148[/C][C]1.16852[/C][/ROW]
[ROW][C]131[/C][C]7[/C][C]6.43415[/C][C]0.565847[/C][/ROW]
[ROW][C]132[/C][C]7.5[/C][C]6.33148[/C][C]1.16852[/C][/ROW]
[ROW][C]133[/C][C]8[/C][C]6.22817[/C][C]1.77183[/C][/ROW]
[ROW][C]134[/C][C]7[/C][C]6.02409[/C][C]0.97591[/C][/ROW]
[ROW][C]135[/C][C]7[/C][C]6.33338[/C][C]0.666623[/C][/ROW]
[ROW][C]136[/C][C]6[/C][C]6.32958[/C][C]-0.329581[/C][/ROW]
[ROW][C]137[/C][C]10[/C][C]6.33148[/C][C]3.66852[/C][/ROW]
[ROW][C]138[/C][C]2.5[/C][C]6.43479[/C][C]-3.93479[/C][/ROW]
[ROW][C]139[/C][C]9[/C][C]6.74281[/C][C]2.25719[/C][/ROW]
[ROW][C]140[/C][C]8[/C][C]6.1255[/C][C]1.8745[/C][/ROW]
[ROW][C]141[/C][C]6[/C][C]6.43479[/C][C]-0.434786[/C][/ROW]
[ROW][C]142[/C][C]8.5[/C][C]5.30221[/C][C]3.19779[/C][/ROW]
[ROW][C]143[/C][C]6[/C][C]6.33021[/C][C]-0.330213[/C][/ROW]
[ROW][C]144[/C][C]9[/C][C]6.22817[/C][C]2.77183[/C][/ROW]
[ROW][C]145[/C][C]8[/C][C]6.33148[/C][C]1.66852[/C][/ROW]
[ROW][C]146[/C][C]9[/C][C]6.33148[/C][C]2.66852[/C][/ROW]
[ROW][C]147[/C][C]5.5[/C][C]6.1255[/C][C]-0.625498[/C][/ROW]
[ROW][C]148[/C][C]5[/C][C]6.33148[/C][C]-1.33148[/C][/ROW]
[ROW][C]149[/C][C]5.5[/C][C]6.33148[/C][C]-0.831479[/C][/ROW]
[ROW][C]150[/C][C]9[/C][C]6.33148[/C][C]2.66852[/C][/ROW]
[ROW][C]151[/C][C]2[/C][C]6.12487[/C][C]-4.12487[/C][/ROW]
[ROW][C]152[/C][C]8.5[/C][C]6.1274[/C][C]2.3726[/C][/ROW]
[ROW][C]153[/C][C]9[/C][C]6.33401[/C][C]2.66599[/C][/ROW]
[ROW][C]154[/C][C]8.5[/C][C]6.33148[/C][C]2.16852[/C][/ROW]
[ROW][C]155[/C][C]9[/C][C]6.22817[/C][C]2.77183[/C][/ROW]
[ROW][C]156[/C][C]7.5[/C][C]6.33211[/C][C]1.16789[/C][/ROW]
[ROW][C]157[/C][C]10[/C][C]6.33274[/C][C]3.66726[/C][/ROW]
[ROW][C]158[/C][C]9[/C][C]6.53873[/C][C]2.46127[/C][/ROW]
[ROW][C]159[/C][C]7.5[/C][C]6.22817[/C][C]1.27183[/C][/ROW]
[ROW][C]160[/C][C]6[/C][C]6.33085[/C][C]-0.330846[/C][/ROW]
[ROW][C]161[/C][C]10.5[/C][C]6.33148[/C][C]4.16852[/C][/ROW]
[ROW][C]162[/C][C]8.5[/C][C]6.33148[/C][C]2.16852[/C][/ROW]
[ROW][C]163[/C][C]8[/C][C]6.43605[/C][C]1.56395[/C][/ROW]
[ROW][C]164[/C][C]10[/C][C]6.12613[/C][C]3.87387[/C][/ROW]
[ROW][C]165[/C][C]10.5[/C][C]6.53873[/C][C]3.96127[/C][/ROW]
[ROW][C]166[/C][C]6.5[/C][C]5.61086[/C][C]0.889137[/C][/ROW]
[ROW][C]167[/C][C]9.5[/C][C]6.22817[/C][C]3.27183[/C][/ROW]
[ROW][C]168[/C][C]8.5[/C][C]6.12676[/C][C]2.37324[/C][/ROW]
[ROW][C]169[/C][C]7.5[/C][C]6.22817[/C][C]1.27183[/C][/ROW]
[ROW][C]170[/C][C]5[/C][C]6.02346[/C][C]-1.02346[/C][/ROW]
[ROW][C]171[/C][C]8[/C][C]6.33211[/C][C]1.66789[/C][/ROW]
[ROW][C]172[/C][C]10[/C][C]6.74281[/C][C]3.25719[/C][/ROW]
[ROW][C]173[/C][C]7[/C][C]6.1274[/C][C]0.872604[/C][/ROW]
[ROW][C]174[/C][C]7.5[/C][C]5.92078[/C][C]1.57922[/C][/ROW]
[ROW][C]175[/C][C]7.5[/C][C]6.2288[/C][C]1.2712[/C][/ROW]
[ROW][C]176[/C][C]9.5[/C][C]6.2288[/C][C]3.2712[/C][/ROW]
[ROW][C]177[/C][C]6[/C][C]6.2288[/C][C]-0.228805[/C][/ROW]
[ROW][C]178[/C][C]10[/C][C]6.33085[/C][C]3.66915[/C][/ROW]
[ROW][C]179[/C][C]7[/C][C]5.81811[/C][C]1.18189[/C][/ROW]
[ROW][C]180[/C][C]3[/C][C]6.33148[/C][C]-3.33148[/C][/ROW]
[ROW][C]181[/C][C]6[/C][C]5.40425[/C][C]0.59575[/C][/ROW]
[ROW][C]182[/C][C]7[/C][C]5.81748[/C][C]1.18252[/C][/ROW]
[ROW][C]183[/C][C]10[/C][C]5.61339[/C][C]4.38661[/C][/ROW]
[ROW][C]184[/C][C]7[/C][C]6.2288[/C][C]0.771195[/C][/ROW]
[ROW][C]185[/C][C]3.5[/C][C]6.33274[/C][C]-2.83274[/C][/ROW]
[ROW][C]186[/C][C]8[/C][C]6.12803[/C][C]1.87197[/C][/ROW]
[ROW][C]187[/C][C]10[/C][C]6.22817[/C][C]3.77183[/C][/ROW]
[ROW][C]188[/C][C]5.5[/C][C]6.02219[/C][C]-0.522192[/C][/ROW]
[ROW][C]189[/C][C]6[/C][C]6.02346[/C][C]-0.0234571[/C][/ROW]
[ROW][C]190[/C][C]6.5[/C][C]5.91952[/C][C]0.580482[/C][/ROW]
[ROW][C]191[/C][C]6.5[/C][C]6.33401[/C][C]0.16599[/C][/ROW]
[ROW][C]192[/C][C]8.5[/C][C]6.1274[/C][C]2.3726[/C][/ROW]
[ROW][C]193[/C][C]4[/C][C]6.33211[/C][C]-2.33211[/C][/ROW]
[ROW][C]194[/C][C]9.5[/C][C]6.12487[/C][C]3.37513[/C][/ROW]
[ROW][C]195[/C][C]8[/C][C]6.22944[/C][C]1.77056[/C][/ROW]
[ROW][C]196[/C][C]8.5[/C][C]5.7129[/C][C]2.7871[/C][/ROW]
[ROW][C]197[/C][C]5.5[/C][C]6.33148[/C][C]-0.831479[/C][/ROW]
[ROW][C]198[/C][C]7[/C][C]6.1274[/C][C]0.872604[/C][/ROW]
[ROW][C]199[/C][C]9[/C][C]6.33211[/C][C]2.66789[/C][/ROW]
[ROW][C]200[/C][C]8[/C][C]5.92078[/C][C]2.07922[/C][/ROW]
[ROW][C]201[/C][C]10[/C][C]6.33274[/C][C]3.66726[/C][/ROW]
[ROW][C]202[/C][C]8[/C][C]6.33021[/C][C]1.66979[/C][/ROW]
[ROW][C]203[/C][C]6[/C][C]6.23007[/C][C]-0.23007[/C][/ROW]
[ROW][C]204[/C][C]8[/C][C]6.12676[/C][C]1.87324[/C][/ROW]
[ROW][C]205[/C][C]5[/C][C]6.33274[/C][C]-1.33274[/C][/ROW]
[ROW][C]206[/C][C]9[/C][C]5.81431[/C][C]3.18569[/C][/ROW]
[ROW][C]207[/C][C]4.5[/C][C]6.22817[/C][C]-1.72817[/C][/ROW]
[ROW][C]208[/C][C]8.5[/C][C]6.53746[/C][C]1.96254[/C][/ROW]
[ROW][C]209[/C][C]7[/C][C]6.02409[/C][C]0.97591[/C][/ROW]
[ROW][C]210[/C][C]8.5[/C][C]5.40741[/C][C]3.09259[/C][/ROW]
[ROW][C]211[/C][C]7.5[/C][C]5.40425[/C][C]2.09575[/C][/ROW]
[ROW][C]212[/C][C]7.5[/C][C]6.43479[/C][C]1.06521[/C][/ROW]
[ROW][C]213[/C][C]5[/C][C]6.53873[/C][C]-1.53873[/C][/ROW]
[ROW][C]214[/C][C]7[/C][C]6.23007[/C][C]0.76993[/C][/ROW]
[ROW][C]215[/C][C]8[/C][C]5.50503[/C][C]2.49497[/C][/ROW]
[ROW][C]216[/C][C]5.5[/C][C]6.02156[/C][C]-0.521559[/C][/ROW]
[ROW][C]217[/C][C]8.5[/C][C]6.02156[/C][C]2.47844[/C][/ROW]
[ROW][C]218[/C][C]7.5[/C][C]6.22944[/C][C]1.27056[/C][/ROW]
[ROW][C]219[/C][C]7[/C][C]6.53746[/C][C]0.46254[/C][/ROW]
[ROW][C]220[/C][C]8[/C][C]6.33338[/C][C]1.66662[/C][/ROW]
[ROW][C]221[/C][C]8.5[/C][C]6.12487[/C][C]2.37513[/C][/ROW]
[ROW][C]222[/C][C]3.5[/C][C]6.2288[/C][C]-2.7288[/C][/ROW]
[ROW][C]223[/C][C]6.5[/C][C]6.64013[/C][C]-0.140134[/C][/ROW]
[ROW][C]224[/C][C]6.5[/C][C]6.33211[/C][C]0.167888[/C][/ROW]
[ROW][C]225[/C][C]10.5[/C][C]5.92015[/C][C]4.57985[/C][/ROW]
[ROW][C]226[/C][C]8.5[/C][C]6.33148[/C][C]2.16852[/C][/ROW]
[ROW][C]227[/C][C]8[/C][C]5.81748[/C][C]2.18252[/C][/ROW]
[ROW][C]228[/C][C]10[/C][C]6.32958[/C][C]3.67042[/C][/ROW]
[ROW][C]229[/C][C]10[/C][C]6.22817[/C][C]3.77183[/C][/ROW]
[ROW][C]230[/C][C]9.5[/C][C]6.64013[/C][C]2.85987[/C][/ROW]
[ROW][C]231[/C][C]9[/C][C]6.22817[/C][C]2.77183[/C][/ROW]
[ROW][C]232[/C][C]10[/C][C]6.12676[/C][C]3.87324[/C][/ROW]
[ROW][C]233[/C][C]7.5[/C][C]6.12676[/C][C]1.37324[/C][/ROW]
[ROW][C]234[/C][C]4.5[/C][C]6.43415[/C][C]-1.93415[/C][/ROW]
[ROW][C]235[/C][C]4.5[/C][C]6.33085[/C][C]-1.83085[/C][/ROW]
[ROW][C]236[/C][C]0.5[/C][C]6.74281[/C][C]-6.24281[/C][/ROW]
[ROW][C]237[/C][C]6.5[/C][C]6.33211[/C][C]0.167888[/C][/ROW]
[ROW][C]238[/C][C]4.5[/C][C]5.6115[/C][C]-1.1115[/C][/ROW]
[ROW][C]239[/C][C]5.5[/C][C]6.02282[/C][C]-0.522824[/C][/ROW]
[ROW][C]240[/C][C]5[/C][C]6.2288[/C][C]-1.2288[/C][/ROW]
[ROW][C]241[/C][C]6[/C][C]6.64013[/C][C]-0.640134[/C][/ROW]
[ROW][C]242[/C][C]4[/C][C]6.33021[/C][C]-2.33021[/C][/ROW]
[ROW][C]243[/C][C]8[/C][C]6.43415[/C][C]1.56585[/C][/ROW]
[ROW][C]244[/C][C]10.5[/C][C]6.33148[/C][C]4.16852[/C][/ROW]
[ROW][C]245[/C][C]8.5[/C][C]5.61086[/C][C]2.88914[/C][/ROW]
[ROW][C]246[/C][C]8[/C][C]5.81431[/C][C]2.18569[/C][/ROW]
[ROW][C]247[/C][C]8.5[/C][C]6.12676[/C][C]2.37324[/C][/ROW]
[ROW][C]248[/C][C]5.5[/C][C]6.6414[/C][C]-1.1414[/C][/ROW]
[ROW][C]249[/C][C]7[/C][C]6.02093[/C][C]0.979074[/C][/ROW]
[ROW][C]250[/C][C]5[/C][C]6.1255[/C][C]-1.1255[/C][/ROW]
[ROW][C]251[/C][C]3.5[/C][C]6.2288[/C][C]-2.7288[/C][/ROW]
[ROW][C]252[/C][C]5[/C][C]6.22754[/C][C]-1.22754[/C][/ROW]
[ROW][C]253[/C][C]9[/C][C]6.12487[/C][C]2.87513[/C][/ROW]
[ROW][C]254[/C][C]8.5[/C][C]6.33148[/C][C]2.16852[/C][/ROW]
[ROW][C]255[/C][C]5[/C][C]6.43605[/C][C]-1.43605[/C][/ROW]
[ROW][C]256[/C][C]9.5[/C][C]5.92015[/C][C]3.57985[/C][/ROW]
[ROW][C]257[/C][C]3[/C][C]6.22944[/C][C]-3.22944[/C][/ROW]
[ROW][C]258[/C][C]1.5[/C][C]6.43415[/C][C]-4.93415[/C][/ROW]
[ROW][C]259[/C][C]6[/C][C]6.22754[/C][C]-0.22754[/C][/ROW]
[ROW][C]260[/C][C]0.5[/C][C]5.71354[/C][C]-5.21354[/C][/ROW]
[ROW][C]261[/C][C]6.5[/C][C]6.33211[/C][C]0.167888[/C][/ROW]
[ROW][C]262[/C][C]7.5[/C][C]6.22817[/C][C]1.27183[/C][/ROW]
[ROW][C]263[/C][C]4.5[/C][C]5.81748[/C][C]-1.31748[/C][/ROW]
[ROW][C]264[/C][C]8[/C][C]6.33148[/C][C]1.66852[/C][/ROW]
[ROW][C]265[/C][C]9[/C][C]6.33148[/C][C]2.66852[/C][/ROW]
[ROW][C]266[/C][C]7.5[/C][C]6.33148[/C][C]1.16852[/C][/ROW]
[ROW][C]267[/C][C]8.5[/C][C]6.12676[/C][C]2.37324[/C][/ROW]
[ROW][C]268[/C][C]7[/C][C]6.12487[/C][C]0.875134[/C][/ROW]
[ROW][C]269[/C][C]9.5[/C][C]6.33148[/C][C]3.16852[/C][/ROW]
[ROW][C]270[/C][C]6.5[/C][C]6.33211[/C][C]0.167888[/C][/ROW]
[ROW][C]271[/C][C]9.5[/C][C]6.53809[/C][C]2.96191[/C][/ROW]
[ROW][C]272[/C][C]6[/C][C]6.12866[/C][C]-0.128662[/C][/ROW]
[ROW][C]273[/C][C]8[/C][C]6.74787[/C][C]1.25213[/C][/ROW]
[ROW][C]274[/C][C]9.5[/C][C]6.22944[/C][C]3.27056[/C][/ROW]
[ROW][C]275[/C][C]8[/C][C]6.33148[/C][C]1.66852[/C][/ROW]
[ROW][C]276[/C][C]8[/C][C]6.33274[/C][C]1.66726[/C][/ROW]
[ROW][C]277[/C][C]9[/C][C]6.33148[/C][C]2.66852[/C][/ROW]
[ROW][C]278[/C][C]5[/C][C]5.92015[/C][C]-0.92015[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265755&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265755&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
17.56.021561.47844
265.507560.492444
36.56.12550.374502
416.33085-5.33085
516.1255-5.1255
65.56.02282-0.522824
78.56.231342.26866
86.56.022820.477176
94.56.74281-2.24281
1026.43479-4.43479
1156.22817-1.22817
120.56.33274-5.83274
1355.91952-0.919518
1456.43352-1.43352
152.55.81874-3.31874
1656.33148-1.33148
175.56.33021-0.830213
183.56.2288-2.7288
1936.02409-3.02409
2046.12487-2.12487
210.56.6395-6.1395
226.56.330850.169154
234.56.43542-1.93542
247.55.711641.78836
255.56.23134-0.731336
2646.1255-2.1255
277.56.128031.37197
2876.331480.668521
2946.22817-2.22817
305.56.43415-0.934153
312.56.12676-3.62676
325.56.33211-0.832112
333.56.22817-2.72817
342.56.32958-3.82958
354.56.33148-1.83148
364.55.71544-1.21544
374.55.50945-1.00945
3866.43415-0.434153
392.56.1255-3.6255
4055.71544-0.715435
4106.12487-6.12487
4255.91952-0.919518
436.56.335280.164725
4456.33148-1.33148
4566.33211-0.332112
464.55.50882-1.00882
475.56.33148-0.831479
4816.22817-5.22817
497.55.507561.99244
5066.02282-0.0228243
5156.1255-1.1255
5216.02472-5.02472
5356.33148-1.33148
546.56.64077-0.140766
5576.640130.359866
564.56.12487-1.62487
5706.23197-6.23197
588.56.020292.47971
593.55.7129-2.2129
607.56.331481.16852
613.56.2288-2.7288
6265.816210.183789
631.55.6115-4.1115
6496.331482.66852
653.55.92142-2.42142
663.55.91825-2.41825
6746.12487-2.12487
686.56.126130.373869
697.56.022821.47718
7066.22817-0.228172
7156.43479-1.43479
725.56.12487-0.624866
733.55.81748-2.31748
747.55.60961.8904
756.55.406151.09385
766.56.022820.477176
776.56.229440.270562
7875.918251.08175
793.56.2288-2.7288
801.56.12676-4.62676
8146.33148-2.33148
827.56.12551.3745
834.56.02282-1.52282
8406.33148-6.33148
853.56.02282-2.52282
865.56.33338-0.833377
8756.33211-1.33211
884.56.33148-1.83148
892.55.7148-3.2148
907.55.918881.58112
9175.918251.08175
9205.92205-5.92205
934.55.92015-1.42015
9436.6395-3.6395
951.56.12613-4.62613
963.56.02219-2.52219
972.56.33148-3.83148
985.56.22817-0.728172
9985.918252.08175
10015.50566-4.50566
10155.71354-0.713537
1024.56.33211-1.83211
10336.33148-3.33148
10435.71164-2.71164
10586.536831.46317
1062.55.92078-3.42078
10776.332740.667256
10805.71354-5.71354
10916.12613-5.12613
1103.55.92015-2.42015
1115.55.81621-0.316211
1125.56.22817-0.728172
1130.55.40235-4.90235
1147.56.333381.16662
11596.332112.66789
1169.56.331483.16852
1178.56.331482.16852
11875.921421.07858
11986.228171.77183
120106.124873.87513
12176.228170.771828
1228.56.332742.16726
12396.019662.98034
1249.55.71293.7871
12546.43289-2.43289
12666.22944-0.229438
12786.536191.46381
1285.56.33338-0.833377
1299.56.742812.75719
1307.56.331481.16852
13176.434150.565847
1327.56.331481.16852
13386.228171.77183
13476.024090.97591
13576.333380.666623
13666.32958-0.329581
137106.331483.66852
1382.56.43479-3.93479
13996.742812.25719
14086.12551.8745
14166.43479-0.434786
1428.55.302213.19779
14366.33021-0.330213
14496.228172.77183
14586.331481.66852
14696.331482.66852
1475.56.1255-0.625498
14856.33148-1.33148
1495.56.33148-0.831479
15096.331482.66852
15126.12487-4.12487
1528.56.12742.3726
15396.334012.66599
1548.56.331482.16852
15596.228172.77183
1567.56.332111.16789
157106.332743.66726
15896.538732.46127
1597.56.228171.27183
16066.33085-0.330846
16110.56.331484.16852
1628.56.331482.16852
16386.436051.56395
164106.126133.87387
16510.56.538733.96127
1666.55.610860.889137
1679.56.228173.27183
1688.56.126762.37324
1697.56.228171.27183
17056.02346-1.02346
17186.332111.66789
172106.742813.25719
17376.12740.872604
1747.55.920781.57922
1757.56.22881.2712
1769.56.22883.2712
17766.2288-0.228805
178106.330853.66915
17975.818111.18189
18036.33148-3.33148
18165.404250.59575
18275.817481.18252
183105.613394.38661
18476.22880.771195
1853.56.33274-2.83274
18686.128031.87197
187106.228173.77183
1885.56.02219-0.522192
18966.02346-0.0234571
1906.55.919520.580482
1916.56.334010.16599
1928.56.12742.3726
19346.33211-2.33211
1949.56.124873.37513
19586.229441.77056
1968.55.71292.7871
1975.56.33148-0.831479
19876.12740.872604
19996.332112.66789
20085.920782.07922
201106.332743.66726
20286.330211.66979
20366.23007-0.23007
20486.126761.87324
20556.33274-1.33274
20695.814313.18569
2074.56.22817-1.72817
2088.56.537461.96254
20976.024090.97591
2108.55.407413.09259
2117.55.404252.09575
2127.56.434791.06521
21356.53873-1.53873
21476.230070.76993
21585.505032.49497
2165.56.02156-0.521559
2178.56.021562.47844
2187.56.229441.27056
21976.537460.46254
22086.333381.66662
2218.56.124872.37513
2223.56.2288-2.7288
2236.56.64013-0.140134
2246.56.332110.167888
22510.55.920154.57985
2268.56.331482.16852
22785.817482.18252
228106.329583.67042
229106.228173.77183
2309.56.640132.85987
23196.228172.77183
232106.126763.87324
2337.56.126761.37324
2344.56.43415-1.93415
2354.56.33085-1.83085
2360.56.74281-6.24281
2376.56.332110.167888
2384.55.6115-1.1115
2395.56.02282-0.522824
24056.2288-1.2288
24166.64013-0.640134
24246.33021-2.33021
24386.434151.56585
24410.56.331484.16852
2458.55.610862.88914
24685.814312.18569
2478.56.126762.37324
2485.56.6414-1.1414
24976.020930.979074
25056.1255-1.1255
2513.56.2288-2.7288
25256.22754-1.22754
25396.124872.87513
2548.56.331482.16852
25556.43605-1.43605
2569.55.920153.57985
25736.22944-3.22944
2581.56.43415-4.93415
25966.22754-0.22754
2600.55.71354-5.21354
2616.56.332110.167888
2627.56.228171.27183
2634.55.81748-1.31748
26486.331481.66852
26596.331482.66852
2667.56.331481.16852
2678.56.126762.37324
26876.124870.875134
2699.56.331483.16852
2706.56.332110.167888
2719.56.538092.96191
27266.12866-0.128662
27386.747871.25213
2749.56.229443.27056
27586.331481.66852
27686.332741.66726
27796.331482.66852
27855.92015-0.92015







Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
60.7917460.4165080.208254
70.7739440.4521120.226056
80.675980.648040.32402
90.6293090.7413830.370691
100.6275970.7448070.372403
110.5309550.938090.469045
120.7260040.5479930.273996
130.6445770.7108470.355423
140.5975390.8049220.402461
150.6422310.7155390.357769
160.5728760.8542470.427124
170.5088490.9823030.491151
180.4453740.8907490.554626
190.4019110.8038230.598089
200.3404490.6808970.659551
210.3931370.7862750.606863
220.3927450.7854890.607255
230.3411370.6822740.658863
240.2989780.5979570.701022
250.2723080.5446150.727692
260.2279780.4559560.772022
270.2514460.5028920.748554
280.2659370.5318730.734063
290.2240740.4481480.775926
300.1971480.3942960.802852
310.2017530.4035070.798247
320.1728420.3456840.827158
330.1492670.2985340.850733
340.1425530.2851060.857447
350.1155720.2311440.884428
360.09737360.1947470.902626
370.08301660.1660330.916983
380.07581890.1516380.924181
390.07767890.1553580.922321
400.06040660.1208130.939593
410.1341480.2682970.865852
420.1092120.2184250.890788
430.09829720.1965940.901703
440.08116150.1623230.918838
450.07133360.1426670.928666
460.05787940.1157590.942121
470.0482220.09644410.951778
480.07261830.1452370.927382
490.07394780.1478960.926052
500.06275930.1255190.937241
510.05052140.1010430.949479
520.08734860.1746970.912651
530.07323990.146480.92676
540.07441380.1488280.925586
550.08058690.1611740.919413
560.06668120.1333620.933319
570.1373570.2747150.862643
580.1637860.3275710.836214
590.1542130.3084260.845787
600.1653440.3306890.834656
610.1525360.3050720.847464
620.1320410.2640810.867959
630.1671520.3343050.832848
640.2288880.4577770.771112
650.2113140.4226290.788686
660.1999920.3999840.800008
670.1812810.3625620.818719
680.1697980.3395960.830202
690.1756460.3512930.824354
700.1564880.3129760.843512
710.1373230.2746460.862677
720.118360.2367190.88164
730.108960.2179190.89104
740.1073880.2147750.892612
750.09706110.1941220.902939
760.08752260.1750450.912477
770.08076970.1615390.91923
780.07301770.1460350.926982
790.06865550.1373110.931345
800.09118950.1823790.90881
810.08262110.1652420.917379
820.08366490.167330.916335
830.0725650.145130.927435
840.1509820.3019630.849018
850.1448160.2896320.855184
860.1323730.2647460.867627
870.1178130.2356260.882187
880.1056510.2113030.894349
890.1151550.2303090.884845
900.1128580.2257170.887142
910.1025780.2051550.897422
920.1868020.3736040.813198
930.169490.3389790.83051
940.1799420.3598840.820058
950.2341730.4683470.765827
960.2319510.4639020.768049
970.2586430.5172860.741357
980.2361280.4722560.763872
990.2382770.4765530.761723
1000.3579790.7159570.642021
1010.3303730.6607460.669627
1020.3147690.6295380.685231
1030.3325310.6650630.667469
1040.3529110.7058210.647089
1050.3692080.7384170.630792
1060.4020150.804030.597985
1070.4009920.8019840.599008
1080.5917080.8165840.408292
1090.711690.576620.28831
1100.7197430.5605140.280257
1110.6983830.6032340.301617
1120.6775910.6448180.322409
1130.822970.3540610.17703
1140.8274210.3451570.172579
1150.8590080.2819830.140992
1160.8942960.2114090.105704
1170.9038670.1922650.0961325
1180.9010380.1979230.0989617
1190.9027110.1945780.0972888
1200.9348620.1302760.065138
1210.92840.1432010.0716003
1220.9344510.1310980.0655488
1230.9419680.1160640.0580321
1240.9571810.08563840.0428192
1250.9585340.08293120.0414656
1260.9529890.09402210.0470111
1270.9500590.09988270.0499414
1280.9448040.1103910.0551957
1290.9534710.0930590.0465295
1300.949060.1018790.0509395
1310.9417370.1165260.058263
1320.9362110.1275770.0637887
1330.933530.132940.0664702
1340.9284070.1431870.0715934
1350.9213480.1573030.0786516
1360.909410.1811810.0905905
1370.9312610.1374780.0687389
1380.9523120.09537530.0476877
1390.9535380.0929240.046462
1400.9514110.09717840.0485892
1410.9438810.1122390.0561194
1420.9509310.09813810.0490691
1430.9428170.1143660.0571832
1440.9468360.1063270.0531636
1450.9428870.1142250.0571125
1460.9461990.1076020.0538009
1470.939420.121160.0605801
1480.9346460.1307080.0653539
1490.9269030.1461940.0730971
1500.930420.139160.0695798
1510.9587920.08241650.0412082
1520.9598460.08030810.040154
1530.9630190.07396240.0369812
1540.9616240.07675210.038376
1550.9633170.07336530.0366826
1560.9580080.08398310.0419916
1570.9673790.06524230.0326212
1580.9678890.0642230.0321115
1590.9628950.07421040.0371052
1600.9564970.08700540.0435027
1610.9694510.06109750.0305488
1620.967630.06473950.0323697
1630.9636740.07265280.0363264
1640.9719380.05612340.0280617
1650.9803090.03938230.0196911
1660.977190.04562090.0228104
1670.9798160.04036740.0201837
1680.9788640.04227110.0211355
1690.9749550.05009030.0250452
1700.9727130.05457440.0272872
1710.9690180.06196410.030982
1720.974710.05058060.0252903
1730.9697660.06046880.0302344
1740.9652950.06940940.0347047
1750.9592990.08140160.0407008
1760.96340.07320080.0366004
1770.9565320.08693690.0434685
1780.9649270.07014670.0350734
1790.9591520.08169580.0408479
1800.9693140.06137210.0306861
1810.9659610.06807830.0340391
1820.9600790.07984290.0399214
1830.9681880.06362340.0318117
1840.9614430.07711310.0385566
1850.9677410.06451740.0322587
1860.9631150.07376940.0368847
1870.9700720.0598550.0299275
1880.9657030.06859360.0342968
1890.9594970.08100590.0405029
1900.9517740.09645230.0482261
1910.9419570.1160860.058043
1920.9372080.1255830.0627916
1930.9413710.1172580.0586291
1940.9457980.1084030.0542016
1950.9380760.1238480.0619241
1960.9339560.1320870.0660437
1970.9246460.1507080.075354
1980.9108170.1783650.0891825
1990.9093670.1812660.090633
2000.898210.2035810.10179
2010.912760.174480.0872401
2020.9015490.1969030.0984515
2030.8855520.2288960.114448
2040.8715520.2568960.128448
2050.8615330.2769350.138467
2060.8618740.2762530.138126
2070.8586780.2826450.141322
2080.848510.3029790.15149
2090.8249360.3501280.175064
2100.8135230.3729540.186477
2110.7913330.4173330.208667
2120.7639980.4720030.236002
2130.7486610.5026780.251339
2140.7153740.5692510.284626
2150.6948770.6102460.305123
2160.6663140.6673730.333686
2170.6504580.6990840.349542
2180.6145960.7708080.385404
2190.5738230.8523530.426177
2200.5411740.9176510.458826
2210.5227690.9544620.477231
2220.5521930.8956150.447807
2230.5092960.9814090.490704
2240.4667590.9335170.533241
2250.5263330.9473340.473667
2260.504140.9917190.49586
2270.4754070.9508140.524593
2280.518320.9633590.48168
2290.5608580.8782850.439142
2300.5788230.8423540.421177
2310.5832180.8335640.416782
2320.6186430.7627140.381357
2330.5785840.8428320.421416
2340.5580490.8839030.441951
2350.5366720.9266570.463328
2360.79490.41020.2051
2370.7579420.4841170.242058
2380.7285250.542950.271475
2390.6912540.6174930.308746
2400.6680550.6638890.331945
2410.6333020.7333970.366698
2420.6617550.6764910.338245
2430.6162630.7674730.383737
2440.6677430.6645140.332257
2450.688960.622080.31104
2460.678260.643480.32174
2470.6697560.6604880.330244
2480.6726480.6547040.327352
2490.6264770.7470460.373523
2500.5837140.8325720.416286
2510.6252590.7494810.374741
2520.6051640.7896720.394836
2530.6043880.7912240.395612
2540.5592190.8815610.440781
2550.5640430.8719140.435957
2560.7000380.5999240.299962
2570.7801770.4396470.219823
2580.9959720.008055580.00402779
2590.9956960.008608520.00430426
2600.9997260.0005481250.000274063
2610.9997240.0005511730.000275587
2620.9993760.001247170.000623583
2630.9988250.002349510.00117475
2640.99740.005200040.00260002
2650.9945610.01087840.0054392
2660.990710.01857960.00928979
2670.9909860.01802790.00901396
2680.9820840.03583260.0179163
2690.9681870.06362540.0318127
2700.9717370.05652650.0282633
2710.9281560.1436880.0718442
2720.8396710.3206570.160329

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
6 & 0.791746 & 0.416508 & 0.208254 \tabularnewline
7 & 0.773944 & 0.452112 & 0.226056 \tabularnewline
8 & 0.67598 & 0.64804 & 0.32402 \tabularnewline
9 & 0.629309 & 0.741383 & 0.370691 \tabularnewline
10 & 0.627597 & 0.744807 & 0.372403 \tabularnewline
11 & 0.530955 & 0.93809 & 0.469045 \tabularnewline
12 & 0.726004 & 0.547993 & 0.273996 \tabularnewline
13 & 0.644577 & 0.710847 & 0.355423 \tabularnewline
14 & 0.597539 & 0.804922 & 0.402461 \tabularnewline
15 & 0.642231 & 0.715539 & 0.357769 \tabularnewline
16 & 0.572876 & 0.854247 & 0.427124 \tabularnewline
17 & 0.508849 & 0.982303 & 0.491151 \tabularnewline
18 & 0.445374 & 0.890749 & 0.554626 \tabularnewline
19 & 0.401911 & 0.803823 & 0.598089 \tabularnewline
20 & 0.340449 & 0.680897 & 0.659551 \tabularnewline
21 & 0.393137 & 0.786275 & 0.606863 \tabularnewline
22 & 0.392745 & 0.785489 & 0.607255 \tabularnewline
23 & 0.341137 & 0.682274 & 0.658863 \tabularnewline
24 & 0.298978 & 0.597957 & 0.701022 \tabularnewline
25 & 0.272308 & 0.544615 & 0.727692 \tabularnewline
26 & 0.227978 & 0.455956 & 0.772022 \tabularnewline
27 & 0.251446 & 0.502892 & 0.748554 \tabularnewline
28 & 0.265937 & 0.531873 & 0.734063 \tabularnewline
29 & 0.224074 & 0.448148 & 0.775926 \tabularnewline
30 & 0.197148 & 0.394296 & 0.802852 \tabularnewline
31 & 0.201753 & 0.403507 & 0.798247 \tabularnewline
32 & 0.172842 & 0.345684 & 0.827158 \tabularnewline
33 & 0.149267 & 0.298534 & 0.850733 \tabularnewline
34 & 0.142553 & 0.285106 & 0.857447 \tabularnewline
35 & 0.115572 & 0.231144 & 0.884428 \tabularnewline
36 & 0.0973736 & 0.194747 & 0.902626 \tabularnewline
37 & 0.0830166 & 0.166033 & 0.916983 \tabularnewline
38 & 0.0758189 & 0.151638 & 0.924181 \tabularnewline
39 & 0.0776789 & 0.155358 & 0.922321 \tabularnewline
40 & 0.0604066 & 0.120813 & 0.939593 \tabularnewline
41 & 0.134148 & 0.268297 & 0.865852 \tabularnewline
42 & 0.109212 & 0.218425 & 0.890788 \tabularnewline
43 & 0.0982972 & 0.196594 & 0.901703 \tabularnewline
44 & 0.0811615 & 0.162323 & 0.918838 \tabularnewline
45 & 0.0713336 & 0.142667 & 0.928666 \tabularnewline
46 & 0.0578794 & 0.115759 & 0.942121 \tabularnewline
47 & 0.048222 & 0.0964441 & 0.951778 \tabularnewline
48 & 0.0726183 & 0.145237 & 0.927382 \tabularnewline
49 & 0.0739478 & 0.147896 & 0.926052 \tabularnewline
50 & 0.0627593 & 0.125519 & 0.937241 \tabularnewline
51 & 0.0505214 & 0.101043 & 0.949479 \tabularnewline
52 & 0.0873486 & 0.174697 & 0.912651 \tabularnewline
53 & 0.0732399 & 0.14648 & 0.92676 \tabularnewline
54 & 0.0744138 & 0.148828 & 0.925586 \tabularnewline
55 & 0.0805869 & 0.161174 & 0.919413 \tabularnewline
56 & 0.0666812 & 0.133362 & 0.933319 \tabularnewline
57 & 0.137357 & 0.274715 & 0.862643 \tabularnewline
58 & 0.163786 & 0.327571 & 0.836214 \tabularnewline
59 & 0.154213 & 0.308426 & 0.845787 \tabularnewline
60 & 0.165344 & 0.330689 & 0.834656 \tabularnewline
61 & 0.152536 & 0.305072 & 0.847464 \tabularnewline
62 & 0.132041 & 0.264081 & 0.867959 \tabularnewline
63 & 0.167152 & 0.334305 & 0.832848 \tabularnewline
64 & 0.228888 & 0.457777 & 0.771112 \tabularnewline
65 & 0.211314 & 0.422629 & 0.788686 \tabularnewline
66 & 0.199992 & 0.399984 & 0.800008 \tabularnewline
67 & 0.181281 & 0.362562 & 0.818719 \tabularnewline
68 & 0.169798 & 0.339596 & 0.830202 \tabularnewline
69 & 0.175646 & 0.351293 & 0.824354 \tabularnewline
70 & 0.156488 & 0.312976 & 0.843512 \tabularnewline
71 & 0.137323 & 0.274646 & 0.862677 \tabularnewline
72 & 0.11836 & 0.236719 & 0.88164 \tabularnewline
73 & 0.10896 & 0.217919 & 0.89104 \tabularnewline
74 & 0.107388 & 0.214775 & 0.892612 \tabularnewline
75 & 0.0970611 & 0.194122 & 0.902939 \tabularnewline
76 & 0.0875226 & 0.175045 & 0.912477 \tabularnewline
77 & 0.0807697 & 0.161539 & 0.91923 \tabularnewline
78 & 0.0730177 & 0.146035 & 0.926982 \tabularnewline
79 & 0.0686555 & 0.137311 & 0.931345 \tabularnewline
80 & 0.0911895 & 0.182379 & 0.90881 \tabularnewline
81 & 0.0826211 & 0.165242 & 0.917379 \tabularnewline
82 & 0.0836649 & 0.16733 & 0.916335 \tabularnewline
83 & 0.072565 & 0.14513 & 0.927435 \tabularnewline
84 & 0.150982 & 0.301963 & 0.849018 \tabularnewline
85 & 0.144816 & 0.289632 & 0.855184 \tabularnewline
86 & 0.132373 & 0.264746 & 0.867627 \tabularnewline
87 & 0.117813 & 0.235626 & 0.882187 \tabularnewline
88 & 0.105651 & 0.211303 & 0.894349 \tabularnewline
89 & 0.115155 & 0.230309 & 0.884845 \tabularnewline
90 & 0.112858 & 0.225717 & 0.887142 \tabularnewline
91 & 0.102578 & 0.205155 & 0.897422 \tabularnewline
92 & 0.186802 & 0.373604 & 0.813198 \tabularnewline
93 & 0.16949 & 0.338979 & 0.83051 \tabularnewline
94 & 0.179942 & 0.359884 & 0.820058 \tabularnewline
95 & 0.234173 & 0.468347 & 0.765827 \tabularnewline
96 & 0.231951 & 0.463902 & 0.768049 \tabularnewline
97 & 0.258643 & 0.517286 & 0.741357 \tabularnewline
98 & 0.236128 & 0.472256 & 0.763872 \tabularnewline
99 & 0.238277 & 0.476553 & 0.761723 \tabularnewline
100 & 0.357979 & 0.715957 & 0.642021 \tabularnewline
101 & 0.330373 & 0.660746 & 0.669627 \tabularnewline
102 & 0.314769 & 0.629538 & 0.685231 \tabularnewline
103 & 0.332531 & 0.665063 & 0.667469 \tabularnewline
104 & 0.352911 & 0.705821 & 0.647089 \tabularnewline
105 & 0.369208 & 0.738417 & 0.630792 \tabularnewline
106 & 0.402015 & 0.80403 & 0.597985 \tabularnewline
107 & 0.400992 & 0.801984 & 0.599008 \tabularnewline
108 & 0.591708 & 0.816584 & 0.408292 \tabularnewline
109 & 0.71169 & 0.57662 & 0.28831 \tabularnewline
110 & 0.719743 & 0.560514 & 0.280257 \tabularnewline
111 & 0.698383 & 0.603234 & 0.301617 \tabularnewline
112 & 0.677591 & 0.644818 & 0.322409 \tabularnewline
113 & 0.82297 & 0.354061 & 0.17703 \tabularnewline
114 & 0.827421 & 0.345157 & 0.172579 \tabularnewline
115 & 0.859008 & 0.281983 & 0.140992 \tabularnewline
116 & 0.894296 & 0.211409 & 0.105704 \tabularnewline
117 & 0.903867 & 0.192265 & 0.0961325 \tabularnewline
118 & 0.901038 & 0.197923 & 0.0989617 \tabularnewline
119 & 0.902711 & 0.194578 & 0.0972888 \tabularnewline
120 & 0.934862 & 0.130276 & 0.065138 \tabularnewline
121 & 0.9284 & 0.143201 & 0.0716003 \tabularnewline
122 & 0.934451 & 0.131098 & 0.0655488 \tabularnewline
123 & 0.941968 & 0.116064 & 0.0580321 \tabularnewline
124 & 0.957181 & 0.0856384 & 0.0428192 \tabularnewline
125 & 0.958534 & 0.0829312 & 0.0414656 \tabularnewline
126 & 0.952989 & 0.0940221 & 0.0470111 \tabularnewline
127 & 0.950059 & 0.0998827 & 0.0499414 \tabularnewline
128 & 0.944804 & 0.110391 & 0.0551957 \tabularnewline
129 & 0.953471 & 0.093059 & 0.0465295 \tabularnewline
130 & 0.94906 & 0.101879 & 0.0509395 \tabularnewline
131 & 0.941737 & 0.116526 & 0.058263 \tabularnewline
132 & 0.936211 & 0.127577 & 0.0637887 \tabularnewline
133 & 0.93353 & 0.13294 & 0.0664702 \tabularnewline
134 & 0.928407 & 0.143187 & 0.0715934 \tabularnewline
135 & 0.921348 & 0.157303 & 0.0786516 \tabularnewline
136 & 0.90941 & 0.181181 & 0.0905905 \tabularnewline
137 & 0.931261 & 0.137478 & 0.0687389 \tabularnewline
138 & 0.952312 & 0.0953753 & 0.0476877 \tabularnewline
139 & 0.953538 & 0.092924 & 0.046462 \tabularnewline
140 & 0.951411 & 0.0971784 & 0.0485892 \tabularnewline
141 & 0.943881 & 0.112239 & 0.0561194 \tabularnewline
142 & 0.950931 & 0.0981381 & 0.0490691 \tabularnewline
143 & 0.942817 & 0.114366 & 0.0571832 \tabularnewline
144 & 0.946836 & 0.106327 & 0.0531636 \tabularnewline
145 & 0.942887 & 0.114225 & 0.0571125 \tabularnewline
146 & 0.946199 & 0.107602 & 0.0538009 \tabularnewline
147 & 0.93942 & 0.12116 & 0.0605801 \tabularnewline
148 & 0.934646 & 0.130708 & 0.0653539 \tabularnewline
149 & 0.926903 & 0.146194 & 0.0730971 \tabularnewline
150 & 0.93042 & 0.13916 & 0.0695798 \tabularnewline
151 & 0.958792 & 0.0824165 & 0.0412082 \tabularnewline
152 & 0.959846 & 0.0803081 & 0.040154 \tabularnewline
153 & 0.963019 & 0.0739624 & 0.0369812 \tabularnewline
154 & 0.961624 & 0.0767521 & 0.038376 \tabularnewline
155 & 0.963317 & 0.0733653 & 0.0366826 \tabularnewline
156 & 0.958008 & 0.0839831 & 0.0419916 \tabularnewline
157 & 0.967379 & 0.0652423 & 0.0326212 \tabularnewline
158 & 0.967889 & 0.064223 & 0.0321115 \tabularnewline
159 & 0.962895 & 0.0742104 & 0.0371052 \tabularnewline
160 & 0.956497 & 0.0870054 & 0.0435027 \tabularnewline
161 & 0.969451 & 0.0610975 & 0.0305488 \tabularnewline
162 & 0.96763 & 0.0647395 & 0.0323697 \tabularnewline
163 & 0.963674 & 0.0726528 & 0.0363264 \tabularnewline
164 & 0.971938 & 0.0561234 & 0.0280617 \tabularnewline
165 & 0.980309 & 0.0393823 & 0.0196911 \tabularnewline
166 & 0.97719 & 0.0456209 & 0.0228104 \tabularnewline
167 & 0.979816 & 0.0403674 & 0.0201837 \tabularnewline
168 & 0.978864 & 0.0422711 & 0.0211355 \tabularnewline
169 & 0.974955 & 0.0500903 & 0.0250452 \tabularnewline
170 & 0.972713 & 0.0545744 & 0.0272872 \tabularnewline
171 & 0.969018 & 0.0619641 & 0.030982 \tabularnewline
172 & 0.97471 & 0.0505806 & 0.0252903 \tabularnewline
173 & 0.969766 & 0.0604688 & 0.0302344 \tabularnewline
174 & 0.965295 & 0.0694094 & 0.0347047 \tabularnewline
175 & 0.959299 & 0.0814016 & 0.0407008 \tabularnewline
176 & 0.9634 & 0.0732008 & 0.0366004 \tabularnewline
177 & 0.956532 & 0.0869369 & 0.0434685 \tabularnewline
178 & 0.964927 & 0.0701467 & 0.0350734 \tabularnewline
179 & 0.959152 & 0.0816958 & 0.0408479 \tabularnewline
180 & 0.969314 & 0.0613721 & 0.0306861 \tabularnewline
181 & 0.965961 & 0.0680783 & 0.0340391 \tabularnewline
182 & 0.960079 & 0.0798429 & 0.0399214 \tabularnewline
183 & 0.968188 & 0.0636234 & 0.0318117 \tabularnewline
184 & 0.961443 & 0.0771131 & 0.0385566 \tabularnewline
185 & 0.967741 & 0.0645174 & 0.0322587 \tabularnewline
186 & 0.963115 & 0.0737694 & 0.0368847 \tabularnewline
187 & 0.970072 & 0.059855 & 0.0299275 \tabularnewline
188 & 0.965703 & 0.0685936 & 0.0342968 \tabularnewline
189 & 0.959497 & 0.0810059 & 0.0405029 \tabularnewline
190 & 0.951774 & 0.0964523 & 0.0482261 \tabularnewline
191 & 0.941957 & 0.116086 & 0.058043 \tabularnewline
192 & 0.937208 & 0.125583 & 0.0627916 \tabularnewline
193 & 0.941371 & 0.117258 & 0.0586291 \tabularnewline
194 & 0.945798 & 0.108403 & 0.0542016 \tabularnewline
195 & 0.938076 & 0.123848 & 0.0619241 \tabularnewline
196 & 0.933956 & 0.132087 & 0.0660437 \tabularnewline
197 & 0.924646 & 0.150708 & 0.075354 \tabularnewline
198 & 0.910817 & 0.178365 & 0.0891825 \tabularnewline
199 & 0.909367 & 0.181266 & 0.090633 \tabularnewline
200 & 0.89821 & 0.203581 & 0.10179 \tabularnewline
201 & 0.91276 & 0.17448 & 0.0872401 \tabularnewline
202 & 0.901549 & 0.196903 & 0.0984515 \tabularnewline
203 & 0.885552 & 0.228896 & 0.114448 \tabularnewline
204 & 0.871552 & 0.256896 & 0.128448 \tabularnewline
205 & 0.861533 & 0.276935 & 0.138467 \tabularnewline
206 & 0.861874 & 0.276253 & 0.138126 \tabularnewline
207 & 0.858678 & 0.282645 & 0.141322 \tabularnewline
208 & 0.84851 & 0.302979 & 0.15149 \tabularnewline
209 & 0.824936 & 0.350128 & 0.175064 \tabularnewline
210 & 0.813523 & 0.372954 & 0.186477 \tabularnewline
211 & 0.791333 & 0.417333 & 0.208667 \tabularnewline
212 & 0.763998 & 0.472003 & 0.236002 \tabularnewline
213 & 0.748661 & 0.502678 & 0.251339 \tabularnewline
214 & 0.715374 & 0.569251 & 0.284626 \tabularnewline
215 & 0.694877 & 0.610246 & 0.305123 \tabularnewline
216 & 0.666314 & 0.667373 & 0.333686 \tabularnewline
217 & 0.650458 & 0.699084 & 0.349542 \tabularnewline
218 & 0.614596 & 0.770808 & 0.385404 \tabularnewline
219 & 0.573823 & 0.852353 & 0.426177 \tabularnewline
220 & 0.541174 & 0.917651 & 0.458826 \tabularnewline
221 & 0.522769 & 0.954462 & 0.477231 \tabularnewline
222 & 0.552193 & 0.895615 & 0.447807 \tabularnewline
223 & 0.509296 & 0.981409 & 0.490704 \tabularnewline
224 & 0.466759 & 0.933517 & 0.533241 \tabularnewline
225 & 0.526333 & 0.947334 & 0.473667 \tabularnewline
226 & 0.50414 & 0.991719 & 0.49586 \tabularnewline
227 & 0.475407 & 0.950814 & 0.524593 \tabularnewline
228 & 0.51832 & 0.963359 & 0.48168 \tabularnewline
229 & 0.560858 & 0.878285 & 0.439142 \tabularnewline
230 & 0.578823 & 0.842354 & 0.421177 \tabularnewline
231 & 0.583218 & 0.833564 & 0.416782 \tabularnewline
232 & 0.618643 & 0.762714 & 0.381357 \tabularnewline
233 & 0.578584 & 0.842832 & 0.421416 \tabularnewline
234 & 0.558049 & 0.883903 & 0.441951 \tabularnewline
235 & 0.536672 & 0.926657 & 0.463328 \tabularnewline
236 & 0.7949 & 0.4102 & 0.2051 \tabularnewline
237 & 0.757942 & 0.484117 & 0.242058 \tabularnewline
238 & 0.728525 & 0.54295 & 0.271475 \tabularnewline
239 & 0.691254 & 0.617493 & 0.308746 \tabularnewline
240 & 0.668055 & 0.663889 & 0.331945 \tabularnewline
241 & 0.633302 & 0.733397 & 0.366698 \tabularnewline
242 & 0.661755 & 0.676491 & 0.338245 \tabularnewline
243 & 0.616263 & 0.767473 & 0.383737 \tabularnewline
244 & 0.667743 & 0.664514 & 0.332257 \tabularnewline
245 & 0.68896 & 0.62208 & 0.31104 \tabularnewline
246 & 0.67826 & 0.64348 & 0.32174 \tabularnewline
247 & 0.669756 & 0.660488 & 0.330244 \tabularnewline
248 & 0.672648 & 0.654704 & 0.327352 \tabularnewline
249 & 0.626477 & 0.747046 & 0.373523 \tabularnewline
250 & 0.583714 & 0.832572 & 0.416286 \tabularnewline
251 & 0.625259 & 0.749481 & 0.374741 \tabularnewline
252 & 0.605164 & 0.789672 & 0.394836 \tabularnewline
253 & 0.604388 & 0.791224 & 0.395612 \tabularnewline
254 & 0.559219 & 0.881561 & 0.440781 \tabularnewline
255 & 0.564043 & 0.871914 & 0.435957 \tabularnewline
256 & 0.700038 & 0.599924 & 0.299962 \tabularnewline
257 & 0.780177 & 0.439647 & 0.219823 \tabularnewline
258 & 0.995972 & 0.00805558 & 0.00402779 \tabularnewline
259 & 0.995696 & 0.00860852 & 0.00430426 \tabularnewline
260 & 0.999726 & 0.000548125 & 0.000274063 \tabularnewline
261 & 0.999724 & 0.000551173 & 0.000275587 \tabularnewline
262 & 0.999376 & 0.00124717 & 0.000623583 \tabularnewline
263 & 0.998825 & 0.00234951 & 0.00117475 \tabularnewline
264 & 0.9974 & 0.00520004 & 0.00260002 \tabularnewline
265 & 0.994561 & 0.0108784 & 0.0054392 \tabularnewline
266 & 0.99071 & 0.0185796 & 0.00928979 \tabularnewline
267 & 0.990986 & 0.0180279 & 0.00901396 \tabularnewline
268 & 0.982084 & 0.0358326 & 0.0179163 \tabularnewline
269 & 0.968187 & 0.0636254 & 0.0318127 \tabularnewline
270 & 0.971737 & 0.0565265 & 0.0282633 \tabularnewline
271 & 0.928156 & 0.143688 & 0.0718442 \tabularnewline
272 & 0.839671 & 0.320657 & 0.160329 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265755&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]6[/C][C]0.791746[/C][C]0.416508[/C][C]0.208254[/C][/ROW]
[ROW][C]7[/C][C]0.773944[/C][C]0.452112[/C][C]0.226056[/C][/ROW]
[ROW][C]8[/C][C]0.67598[/C][C]0.64804[/C][C]0.32402[/C][/ROW]
[ROW][C]9[/C][C]0.629309[/C][C]0.741383[/C][C]0.370691[/C][/ROW]
[ROW][C]10[/C][C]0.627597[/C][C]0.744807[/C][C]0.372403[/C][/ROW]
[ROW][C]11[/C][C]0.530955[/C][C]0.93809[/C][C]0.469045[/C][/ROW]
[ROW][C]12[/C][C]0.726004[/C][C]0.547993[/C][C]0.273996[/C][/ROW]
[ROW][C]13[/C][C]0.644577[/C][C]0.710847[/C][C]0.355423[/C][/ROW]
[ROW][C]14[/C][C]0.597539[/C][C]0.804922[/C][C]0.402461[/C][/ROW]
[ROW][C]15[/C][C]0.642231[/C][C]0.715539[/C][C]0.357769[/C][/ROW]
[ROW][C]16[/C][C]0.572876[/C][C]0.854247[/C][C]0.427124[/C][/ROW]
[ROW][C]17[/C][C]0.508849[/C][C]0.982303[/C][C]0.491151[/C][/ROW]
[ROW][C]18[/C][C]0.445374[/C][C]0.890749[/C][C]0.554626[/C][/ROW]
[ROW][C]19[/C][C]0.401911[/C][C]0.803823[/C][C]0.598089[/C][/ROW]
[ROW][C]20[/C][C]0.340449[/C][C]0.680897[/C][C]0.659551[/C][/ROW]
[ROW][C]21[/C][C]0.393137[/C][C]0.786275[/C][C]0.606863[/C][/ROW]
[ROW][C]22[/C][C]0.392745[/C][C]0.785489[/C][C]0.607255[/C][/ROW]
[ROW][C]23[/C][C]0.341137[/C][C]0.682274[/C][C]0.658863[/C][/ROW]
[ROW][C]24[/C][C]0.298978[/C][C]0.597957[/C][C]0.701022[/C][/ROW]
[ROW][C]25[/C][C]0.272308[/C][C]0.544615[/C][C]0.727692[/C][/ROW]
[ROW][C]26[/C][C]0.227978[/C][C]0.455956[/C][C]0.772022[/C][/ROW]
[ROW][C]27[/C][C]0.251446[/C][C]0.502892[/C][C]0.748554[/C][/ROW]
[ROW][C]28[/C][C]0.265937[/C][C]0.531873[/C][C]0.734063[/C][/ROW]
[ROW][C]29[/C][C]0.224074[/C][C]0.448148[/C][C]0.775926[/C][/ROW]
[ROW][C]30[/C][C]0.197148[/C][C]0.394296[/C][C]0.802852[/C][/ROW]
[ROW][C]31[/C][C]0.201753[/C][C]0.403507[/C][C]0.798247[/C][/ROW]
[ROW][C]32[/C][C]0.172842[/C][C]0.345684[/C][C]0.827158[/C][/ROW]
[ROW][C]33[/C][C]0.149267[/C][C]0.298534[/C][C]0.850733[/C][/ROW]
[ROW][C]34[/C][C]0.142553[/C][C]0.285106[/C][C]0.857447[/C][/ROW]
[ROW][C]35[/C][C]0.115572[/C][C]0.231144[/C][C]0.884428[/C][/ROW]
[ROW][C]36[/C][C]0.0973736[/C][C]0.194747[/C][C]0.902626[/C][/ROW]
[ROW][C]37[/C][C]0.0830166[/C][C]0.166033[/C][C]0.916983[/C][/ROW]
[ROW][C]38[/C][C]0.0758189[/C][C]0.151638[/C][C]0.924181[/C][/ROW]
[ROW][C]39[/C][C]0.0776789[/C][C]0.155358[/C][C]0.922321[/C][/ROW]
[ROW][C]40[/C][C]0.0604066[/C][C]0.120813[/C][C]0.939593[/C][/ROW]
[ROW][C]41[/C][C]0.134148[/C][C]0.268297[/C][C]0.865852[/C][/ROW]
[ROW][C]42[/C][C]0.109212[/C][C]0.218425[/C][C]0.890788[/C][/ROW]
[ROW][C]43[/C][C]0.0982972[/C][C]0.196594[/C][C]0.901703[/C][/ROW]
[ROW][C]44[/C][C]0.0811615[/C][C]0.162323[/C][C]0.918838[/C][/ROW]
[ROW][C]45[/C][C]0.0713336[/C][C]0.142667[/C][C]0.928666[/C][/ROW]
[ROW][C]46[/C][C]0.0578794[/C][C]0.115759[/C][C]0.942121[/C][/ROW]
[ROW][C]47[/C][C]0.048222[/C][C]0.0964441[/C][C]0.951778[/C][/ROW]
[ROW][C]48[/C][C]0.0726183[/C][C]0.145237[/C][C]0.927382[/C][/ROW]
[ROW][C]49[/C][C]0.0739478[/C][C]0.147896[/C][C]0.926052[/C][/ROW]
[ROW][C]50[/C][C]0.0627593[/C][C]0.125519[/C][C]0.937241[/C][/ROW]
[ROW][C]51[/C][C]0.0505214[/C][C]0.101043[/C][C]0.949479[/C][/ROW]
[ROW][C]52[/C][C]0.0873486[/C][C]0.174697[/C][C]0.912651[/C][/ROW]
[ROW][C]53[/C][C]0.0732399[/C][C]0.14648[/C][C]0.92676[/C][/ROW]
[ROW][C]54[/C][C]0.0744138[/C][C]0.148828[/C][C]0.925586[/C][/ROW]
[ROW][C]55[/C][C]0.0805869[/C][C]0.161174[/C][C]0.919413[/C][/ROW]
[ROW][C]56[/C][C]0.0666812[/C][C]0.133362[/C][C]0.933319[/C][/ROW]
[ROW][C]57[/C][C]0.137357[/C][C]0.274715[/C][C]0.862643[/C][/ROW]
[ROW][C]58[/C][C]0.163786[/C][C]0.327571[/C][C]0.836214[/C][/ROW]
[ROW][C]59[/C][C]0.154213[/C][C]0.308426[/C][C]0.845787[/C][/ROW]
[ROW][C]60[/C][C]0.165344[/C][C]0.330689[/C][C]0.834656[/C][/ROW]
[ROW][C]61[/C][C]0.152536[/C][C]0.305072[/C][C]0.847464[/C][/ROW]
[ROW][C]62[/C][C]0.132041[/C][C]0.264081[/C][C]0.867959[/C][/ROW]
[ROW][C]63[/C][C]0.167152[/C][C]0.334305[/C][C]0.832848[/C][/ROW]
[ROW][C]64[/C][C]0.228888[/C][C]0.457777[/C][C]0.771112[/C][/ROW]
[ROW][C]65[/C][C]0.211314[/C][C]0.422629[/C][C]0.788686[/C][/ROW]
[ROW][C]66[/C][C]0.199992[/C][C]0.399984[/C][C]0.800008[/C][/ROW]
[ROW][C]67[/C][C]0.181281[/C][C]0.362562[/C][C]0.818719[/C][/ROW]
[ROW][C]68[/C][C]0.169798[/C][C]0.339596[/C][C]0.830202[/C][/ROW]
[ROW][C]69[/C][C]0.175646[/C][C]0.351293[/C][C]0.824354[/C][/ROW]
[ROW][C]70[/C][C]0.156488[/C][C]0.312976[/C][C]0.843512[/C][/ROW]
[ROW][C]71[/C][C]0.137323[/C][C]0.274646[/C][C]0.862677[/C][/ROW]
[ROW][C]72[/C][C]0.11836[/C][C]0.236719[/C][C]0.88164[/C][/ROW]
[ROW][C]73[/C][C]0.10896[/C][C]0.217919[/C][C]0.89104[/C][/ROW]
[ROW][C]74[/C][C]0.107388[/C][C]0.214775[/C][C]0.892612[/C][/ROW]
[ROW][C]75[/C][C]0.0970611[/C][C]0.194122[/C][C]0.902939[/C][/ROW]
[ROW][C]76[/C][C]0.0875226[/C][C]0.175045[/C][C]0.912477[/C][/ROW]
[ROW][C]77[/C][C]0.0807697[/C][C]0.161539[/C][C]0.91923[/C][/ROW]
[ROW][C]78[/C][C]0.0730177[/C][C]0.146035[/C][C]0.926982[/C][/ROW]
[ROW][C]79[/C][C]0.0686555[/C][C]0.137311[/C][C]0.931345[/C][/ROW]
[ROW][C]80[/C][C]0.0911895[/C][C]0.182379[/C][C]0.90881[/C][/ROW]
[ROW][C]81[/C][C]0.0826211[/C][C]0.165242[/C][C]0.917379[/C][/ROW]
[ROW][C]82[/C][C]0.0836649[/C][C]0.16733[/C][C]0.916335[/C][/ROW]
[ROW][C]83[/C][C]0.072565[/C][C]0.14513[/C][C]0.927435[/C][/ROW]
[ROW][C]84[/C][C]0.150982[/C][C]0.301963[/C][C]0.849018[/C][/ROW]
[ROW][C]85[/C][C]0.144816[/C][C]0.289632[/C][C]0.855184[/C][/ROW]
[ROW][C]86[/C][C]0.132373[/C][C]0.264746[/C][C]0.867627[/C][/ROW]
[ROW][C]87[/C][C]0.117813[/C][C]0.235626[/C][C]0.882187[/C][/ROW]
[ROW][C]88[/C][C]0.105651[/C][C]0.211303[/C][C]0.894349[/C][/ROW]
[ROW][C]89[/C][C]0.115155[/C][C]0.230309[/C][C]0.884845[/C][/ROW]
[ROW][C]90[/C][C]0.112858[/C][C]0.225717[/C][C]0.887142[/C][/ROW]
[ROW][C]91[/C][C]0.102578[/C][C]0.205155[/C][C]0.897422[/C][/ROW]
[ROW][C]92[/C][C]0.186802[/C][C]0.373604[/C][C]0.813198[/C][/ROW]
[ROW][C]93[/C][C]0.16949[/C][C]0.338979[/C][C]0.83051[/C][/ROW]
[ROW][C]94[/C][C]0.179942[/C][C]0.359884[/C][C]0.820058[/C][/ROW]
[ROW][C]95[/C][C]0.234173[/C][C]0.468347[/C][C]0.765827[/C][/ROW]
[ROW][C]96[/C][C]0.231951[/C][C]0.463902[/C][C]0.768049[/C][/ROW]
[ROW][C]97[/C][C]0.258643[/C][C]0.517286[/C][C]0.741357[/C][/ROW]
[ROW][C]98[/C][C]0.236128[/C][C]0.472256[/C][C]0.763872[/C][/ROW]
[ROW][C]99[/C][C]0.238277[/C][C]0.476553[/C][C]0.761723[/C][/ROW]
[ROW][C]100[/C][C]0.357979[/C][C]0.715957[/C][C]0.642021[/C][/ROW]
[ROW][C]101[/C][C]0.330373[/C][C]0.660746[/C][C]0.669627[/C][/ROW]
[ROW][C]102[/C][C]0.314769[/C][C]0.629538[/C][C]0.685231[/C][/ROW]
[ROW][C]103[/C][C]0.332531[/C][C]0.665063[/C][C]0.667469[/C][/ROW]
[ROW][C]104[/C][C]0.352911[/C][C]0.705821[/C][C]0.647089[/C][/ROW]
[ROW][C]105[/C][C]0.369208[/C][C]0.738417[/C][C]0.630792[/C][/ROW]
[ROW][C]106[/C][C]0.402015[/C][C]0.80403[/C][C]0.597985[/C][/ROW]
[ROW][C]107[/C][C]0.400992[/C][C]0.801984[/C][C]0.599008[/C][/ROW]
[ROW][C]108[/C][C]0.591708[/C][C]0.816584[/C][C]0.408292[/C][/ROW]
[ROW][C]109[/C][C]0.71169[/C][C]0.57662[/C][C]0.28831[/C][/ROW]
[ROW][C]110[/C][C]0.719743[/C][C]0.560514[/C][C]0.280257[/C][/ROW]
[ROW][C]111[/C][C]0.698383[/C][C]0.603234[/C][C]0.301617[/C][/ROW]
[ROW][C]112[/C][C]0.677591[/C][C]0.644818[/C][C]0.322409[/C][/ROW]
[ROW][C]113[/C][C]0.82297[/C][C]0.354061[/C][C]0.17703[/C][/ROW]
[ROW][C]114[/C][C]0.827421[/C][C]0.345157[/C][C]0.172579[/C][/ROW]
[ROW][C]115[/C][C]0.859008[/C][C]0.281983[/C][C]0.140992[/C][/ROW]
[ROW][C]116[/C][C]0.894296[/C][C]0.211409[/C][C]0.105704[/C][/ROW]
[ROW][C]117[/C][C]0.903867[/C][C]0.192265[/C][C]0.0961325[/C][/ROW]
[ROW][C]118[/C][C]0.901038[/C][C]0.197923[/C][C]0.0989617[/C][/ROW]
[ROW][C]119[/C][C]0.902711[/C][C]0.194578[/C][C]0.0972888[/C][/ROW]
[ROW][C]120[/C][C]0.934862[/C][C]0.130276[/C][C]0.065138[/C][/ROW]
[ROW][C]121[/C][C]0.9284[/C][C]0.143201[/C][C]0.0716003[/C][/ROW]
[ROW][C]122[/C][C]0.934451[/C][C]0.131098[/C][C]0.0655488[/C][/ROW]
[ROW][C]123[/C][C]0.941968[/C][C]0.116064[/C][C]0.0580321[/C][/ROW]
[ROW][C]124[/C][C]0.957181[/C][C]0.0856384[/C][C]0.0428192[/C][/ROW]
[ROW][C]125[/C][C]0.958534[/C][C]0.0829312[/C][C]0.0414656[/C][/ROW]
[ROW][C]126[/C][C]0.952989[/C][C]0.0940221[/C][C]0.0470111[/C][/ROW]
[ROW][C]127[/C][C]0.950059[/C][C]0.0998827[/C][C]0.0499414[/C][/ROW]
[ROW][C]128[/C][C]0.944804[/C][C]0.110391[/C][C]0.0551957[/C][/ROW]
[ROW][C]129[/C][C]0.953471[/C][C]0.093059[/C][C]0.0465295[/C][/ROW]
[ROW][C]130[/C][C]0.94906[/C][C]0.101879[/C][C]0.0509395[/C][/ROW]
[ROW][C]131[/C][C]0.941737[/C][C]0.116526[/C][C]0.058263[/C][/ROW]
[ROW][C]132[/C][C]0.936211[/C][C]0.127577[/C][C]0.0637887[/C][/ROW]
[ROW][C]133[/C][C]0.93353[/C][C]0.13294[/C][C]0.0664702[/C][/ROW]
[ROW][C]134[/C][C]0.928407[/C][C]0.143187[/C][C]0.0715934[/C][/ROW]
[ROW][C]135[/C][C]0.921348[/C][C]0.157303[/C][C]0.0786516[/C][/ROW]
[ROW][C]136[/C][C]0.90941[/C][C]0.181181[/C][C]0.0905905[/C][/ROW]
[ROW][C]137[/C][C]0.931261[/C][C]0.137478[/C][C]0.0687389[/C][/ROW]
[ROW][C]138[/C][C]0.952312[/C][C]0.0953753[/C][C]0.0476877[/C][/ROW]
[ROW][C]139[/C][C]0.953538[/C][C]0.092924[/C][C]0.046462[/C][/ROW]
[ROW][C]140[/C][C]0.951411[/C][C]0.0971784[/C][C]0.0485892[/C][/ROW]
[ROW][C]141[/C][C]0.943881[/C][C]0.112239[/C][C]0.0561194[/C][/ROW]
[ROW][C]142[/C][C]0.950931[/C][C]0.0981381[/C][C]0.0490691[/C][/ROW]
[ROW][C]143[/C][C]0.942817[/C][C]0.114366[/C][C]0.0571832[/C][/ROW]
[ROW][C]144[/C][C]0.946836[/C][C]0.106327[/C][C]0.0531636[/C][/ROW]
[ROW][C]145[/C][C]0.942887[/C][C]0.114225[/C][C]0.0571125[/C][/ROW]
[ROW][C]146[/C][C]0.946199[/C][C]0.107602[/C][C]0.0538009[/C][/ROW]
[ROW][C]147[/C][C]0.93942[/C][C]0.12116[/C][C]0.0605801[/C][/ROW]
[ROW][C]148[/C][C]0.934646[/C][C]0.130708[/C][C]0.0653539[/C][/ROW]
[ROW][C]149[/C][C]0.926903[/C][C]0.146194[/C][C]0.0730971[/C][/ROW]
[ROW][C]150[/C][C]0.93042[/C][C]0.13916[/C][C]0.0695798[/C][/ROW]
[ROW][C]151[/C][C]0.958792[/C][C]0.0824165[/C][C]0.0412082[/C][/ROW]
[ROW][C]152[/C][C]0.959846[/C][C]0.0803081[/C][C]0.040154[/C][/ROW]
[ROW][C]153[/C][C]0.963019[/C][C]0.0739624[/C][C]0.0369812[/C][/ROW]
[ROW][C]154[/C][C]0.961624[/C][C]0.0767521[/C][C]0.038376[/C][/ROW]
[ROW][C]155[/C][C]0.963317[/C][C]0.0733653[/C][C]0.0366826[/C][/ROW]
[ROW][C]156[/C][C]0.958008[/C][C]0.0839831[/C][C]0.0419916[/C][/ROW]
[ROW][C]157[/C][C]0.967379[/C][C]0.0652423[/C][C]0.0326212[/C][/ROW]
[ROW][C]158[/C][C]0.967889[/C][C]0.064223[/C][C]0.0321115[/C][/ROW]
[ROW][C]159[/C][C]0.962895[/C][C]0.0742104[/C][C]0.0371052[/C][/ROW]
[ROW][C]160[/C][C]0.956497[/C][C]0.0870054[/C][C]0.0435027[/C][/ROW]
[ROW][C]161[/C][C]0.969451[/C][C]0.0610975[/C][C]0.0305488[/C][/ROW]
[ROW][C]162[/C][C]0.96763[/C][C]0.0647395[/C][C]0.0323697[/C][/ROW]
[ROW][C]163[/C][C]0.963674[/C][C]0.0726528[/C][C]0.0363264[/C][/ROW]
[ROW][C]164[/C][C]0.971938[/C][C]0.0561234[/C][C]0.0280617[/C][/ROW]
[ROW][C]165[/C][C]0.980309[/C][C]0.0393823[/C][C]0.0196911[/C][/ROW]
[ROW][C]166[/C][C]0.97719[/C][C]0.0456209[/C][C]0.0228104[/C][/ROW]
[ROW][C]167[/C][C]0.979816[/C][C]0.0403674[/C][C]0.0201837[/C][/ROW]
[ROW][C]168[/C][C]0.978864[/C][C]0.0422711[/C][C]0.0211355[/C][/ROW]
[ROW][C]169[/C][C]0.974955[/C][C]0.0500903[/C][C]0.0250452[/C][/ROW]
[ROW][C]170[/C][C]0.972713[/C][C]0.0545744[/C][C]0.0272872[/C][/ROW]
[ROW][C]171[/C][C]0.969018[/C][C]0.0619641[/C][C]0.030982[/C][/ROW]
[ROW][C]172[/C][C]0.97471[/C][C]0.0505806[/C][C]0.0252903[/C][/ROW]
[ROW][C]173[/C][C]0.969766[/C][C]0.0604688[/C][C]0.0302344[/C][/ROW]
[ROW][C]174[/C][C]0.965295[/C][C]0.0694094[/C][C]0.0347047[/C][/ROW]
[ROW][C]175[/C][C]0.959299[/C][C]0.0814016[/C][C]0.0407008[/C][/ROW]
[ROW][C]176[/C][C]0.9634[/C][C]0.0732008[/C][C]0.0366004[/C][/ROW]
[ROW][C]177[/C][C]0.956532[/C][C]0.0869369[/C][C]0.0434685[/C][/ROW]
[ROW][C]178[/C][C]0.964927[/C][C]0.0701467[/C][C]0.0350734[/C][/ROW]
[ROW][C]179[/C][C]0.959152[/C][C]0.0816958[/C][C]0.0408479[/C][/ROW]
[ROW][C]180[/C][C]0.969314[/C][C]0.0613721[/C][C]0.0306861[/C][/ROW]
[ROW][C]181[/C][C]0.965961[/C][C]0.0680783[/C][C]0.0340391[/C][/ROW]
[ROW][C]182[/C][C]0.960079[/C][C]0.0798429[/C][C]0.0399214[/C][/ROW]
[ROW][C]183[/C][C]0.968188[/C][C]0.0636234[/C][C]0.0318117[/C][/ROW]
[ROW][C]184[/C][C]0.961443[/C][C]0.0771131[/C][C]0.0385566[/C][/ROW]
[ROW][C]185[/C][C]0.967741[/C][C]0.0645174[/C][C]0.0322587[/C][/ROW]
[ROW][C]186[/C][C]0.963115[/C][C]0.0737694[/C][C]0.0368847[/C][/ROW]
[ROW][C]187[/C][C]0.970072[/C][C]0.059855[/C][C]0.0299275[/C][/ROW]
[ROW][C]188[/C][C]0.965703[/C][C]0.0685936[/C][C]0.0342968[/C][/ROW]
[ROW][C]189[/C][C]0.959497[/C][C]0.0810059[/C][C]0.0405029[/C][/ROW]
[ROW][C]190[/C][C]0.951774[/C][C]0.0964523[/C][C]0.0482261[/C][/ROW]
[ROW][C]191[/C][C]0.941957[/C][C]0.116086[/C][C]0.058043[/C][/ROW]
[ROW][C]192[/C][C]0.937208[/C][C]0.125583[/C][C]0.0627916[/C][/ROW]
[ROW][C]193[/C][C]0.941371[/C][C]0.117258[/C][C]0.0586291[/C][/ROW]
[ROW][C]194[/C][C]0.945798[/C][C]0.108403[/C][C]0.0542016[/C][/ROW]
[ROW][C]195[/C][C]0.938076[/C][C]0.123848[/C][C]0.0619241[/C][/ROW]
[ROW][C]196[/C][C]0.933956[/C][C]0.132087[/C][C]0.0660437[/C][/ROW]
[ROW][C]197[/C][C]0.924646[/C][C]0.150708[/C][C]0.075354[/C][/ROW]
[ROW][C]198[/C][C]0.910817[/C][C]0.178365[/C][C]0.0891825[/C][/ROW]
[ROW][C]199[/C][C]0.909367[/C][C]0.181266[/C][C]0.090633[/C][/ROW]
[ROW][C]200[/C][C]0.89821[/C][C]0.203581[/C][C]0.10179[/C][/ROW]
[ROW][C]201[/C][C]0.91276[/C][C]0.17448[/C][C]0.0872401[/C][/ROW]
[ROW][C]202[/C][C]0.901549[/C][C]0.196903[/C][C]0.0984515[/C][/ROW]
[ROW][C]203[/C][C]0.885552[/C][C]0.228896[/C][C]0.114448[/C][/ROW]
[ROW][C]204[/C][C]0.871552[/C][C]0.256896[/C][C]0.128448[/C][/ROW]
[ROW][C]205[/C][C]0.861533[/C][C]0.276935[/C][C]0.138467[/C][/ROW]
[ROW][C]206[/C][C]0.861874[/C][C]0.276253[/C][C]0.138126[/C][/ROW]
[ROW][C]207[/C][C]0.858678[/C][C]0.282645[/C][C]0.141322[/C][/ROW]
[ROW][C]208[/C][C]0.84851[/C][C]0.302979[/C][C]0.15149[/C][/ROW]
[ROW][C]209[/C][C]0.824936[/C][C]0.350128[/C][C]0.175064[/C][/ROW]
[ROW][C]210[/C][C]0.813523[/C][C]0.372954[/C][C]0.186477[/C][/ROW]
[ROW][C]211[/C][C]0.791333[/C][C]0.417333[/C][C]0.208667[/C][/ROW]
[ROW][C]212[/C][C]0.763998[/C][C]0.472003[/C][C]0.236002[/C][/ROW]
[ROW][C]213[/C][C]0.748661[/C][C]0.502678[/C][C]0.251339[/C][/ROW]
[ROW][C]214[/C][C]0.715374[/C][C]0.569251[/C][C]0.284626[/C][/ROW]
[ROW][C]215[/C][C]0.694877[/C][C]0.610246[/C][C]0.305123[/C][/ROW]
[ROW][C]216[/C][C]0.666314[/C][C]0.667373[/C][C]0.333686[/C][/ROW]
[ROW][C]217[/C][C]0.650458[/C][C]0.699084[/C][C]0.349542[/C][/ROW]
[ROW][C]218[/C][C]0.614596[/C][C]0.770808[/C][C]0.385404[/C][/ROW]
[ROW][C]219[/C][C]0.573823[/C][C]0.852353[/C][C]0.426177[/C][/ROW]
[ROW][C]220[/C][C]0.541174[/C][C]0.917651[/C][C]0.458826[/C][/ROW]
[ROW][C]221[/C][C]0.522769[/C][C]0.954462[/C][C]0.477231[/C][/ROW]
[ROW][C]222[/C][C]0.552193[/C][C]0.895615[/C][C]0.447807[/C][/ROW]
[ROW][C]223[/C][C]0.509296[/C][C]0.981409[/C][C]0.490704[/C][/ROW]
[ROW][C]224[/C][C]0.466759[/C][C]0.933517[/C][C]0.533241[/C][/ROW]
[ROW][C]225[/C][C]0.526333[/C][C]0.947334[/C][C]0.473667[/C][/ROW]
[ROW][C]226[/C][C]0.50414[/C][C]0.991719[/C][C]0.49586[/C][/ROW]
[ROW][C]227[/C][C]0.475407[/C][C]0.950814[/C][C]0.524593[/C][/ROW]
[ROW][C]228[/C][C]0.51832[/C][C]0.963359[/C][C]0.48168[/C][/ROW]
[ROW][C]229[/C][C]0.560858[/C][C]0.878285[/C][C]0.439142[/C][/ROW]
[ROW][C]230[/C][C]0.578823[/C][C]0.842354[/C][C]0.421177[/C][/ROW]
[ROW][C]231[/C][C]0.583218[/C][C]0.833564[/C][C]0.416782[/C][/ROW]
[ROW][C]232[/C][C]0.618643[/C][C]0.762714[/C][C]0.381357[/C][/ROW]
[ROW][C]233[/C][C]0.578584[/C][C]0.842832[/C][C]0.421416[/C][/ROW]
[ROW][C]234[/C][C]0.558049[/C][C]0.883903[/C][C]0.441951[/C][/ROW]
[ROW][C]235[/C][C]0.536672[/C][C]0.926657[/C][C]0.463328[/C][/ROW]
[ROW][C]236[/C][C]0.7949[/C][C]0.4102[/C][C]0.2051[/C][/ROW]
[ROW][C]237[/C][C]0.757942[/C][C]0.484117[/C][C]0.242058[/C][/ROW]
[ROW][C]238[/C][C]0.728525[/C][C]0.54295[/C][C]0.271475[/C][/ROW]
[ROW][C]239[/C][C]0.691254[/C][C]0.617493[/C][C]0.308746[/C][/ROW]
[ROW][C]240[/C][C]0.668055[/C][C]0.663889[/C][C]0.331945[/C][/ROW]
[ROW][C]241[/C][C]0.633302[/C][C]0.733397[/C][C]0.366698[/C][/ROW]
[ROW][C]242[/C][C]0.661755[/C][C]0.676491[/C][C]0.338245[/C][/ROW]
[ROW][C]243[/C][C]0.616263[/C][C]0.767473[/C][C]0.383737[/C][/ROW]
[ROW][C]244[/C][C]0.667743[/C][C]0.664514[/C][C]0.332257[/C][/ROW]
[ROW][C]245[/C][C]0.68896[/C][C]0.62208[/C][C]0.31104[/C][/ROW]
[ROW][C]246[/C][C]0.67826[/C][C]0.64348[/C][C]0.32174[/C][/ROW]
[ROW][C]247[/C][C]0.669756[/C][C]0.660488[/C][C]0.330244[/C][/ROW]
[ROW][C]248[/C][C]0.672648[/C][C]0.654704[/C][C]0.327352[/C][/ROW]
[ROW][C]249[/C][C]0.626477[/C][C]0.747046[/C][C]0.373523[/C][/ROW]
[ROW][C]250[/C][C]0.583714[/C][C]0.832572[/C][C]0.416286[/C][/ROW]
[ROW][C]251[/C][C]0.625259[/C][C]0.749481[/C][C]0.374741[/C][/ROW]
[ROW][C]252[/C][C]0.605164[/C][C]0.789672[/C][C]0.394836[/C][/ROW]
[ROW][C]253[/C][C]0.604388[/C][C]0.791224[/C][C]0.395612[/C][/ROW]
[ROW][C]254[/C][C]0.559219[/C][C]0.881561[/C][C]0.440781[/C][/ROW]
[ROW][C]255[/C][C]0.564043[/C][C]0.871914[/C][C]0.435957[/C][/ROW]
[ROW][C]256[/C][C]0.700038[/C][C]0.599924[/C][C]0.299962[/C][/ROW]
[ROW][C]257[/C][C]0.780177[/C][C]0.439647[/C][C]0.219823[/C][/ROW]
[ROW][C]258[/C][C]0.995972[/C][C]0.00805558[/C][C]0.00402779[/C][/ROW]
[ROW][C]259[/C][C]0.995696[/C][C]0.00860852[/C][C]0.00430426[/C][/ROW]
[ROW][C]260[/C][C]0.999726[/C][C]0.000548125[/C][C]0.000274063[/C][/ROW]
[ROW][C]261[/C][C]0.999724[/C][C]0.000551173[/C][C]0.000275587[/C][/ROW]
[ROW][C]262[/C][C]0.999376[/C][C]0.00124717[/C][C]0.000623583[/C][/ROW]
[ROW][C]263[/C][C]0.998825[/C][C]0.00234951[/C][C]0.00117475[/C][/ROW]
[ROW][C]264[/C][C]0.9974[/C][C]0.00520004[/C][C]0.00260002[/C][/ROW]
[ROW][C]265[/C][C]0.994561[/C][C]0.0108784[/C][C]0.0054392[/C][/ROW]
[ROW][C]266[/C][C]0.99071[/C][C]0.0185796[/C][C]0.00928979[/C][/ROW]
[ROW][C]267[/C][C]0.990986[/C][C]0.0180279[/C][C]0.00901396[/C][/ROW]
[ROW][C]268[/C][C]0.982084[/C][C]0.0358326[/C][C]0.0179163[/C][/ROW]
[ROW][C]269[/C][C]0.968187[/C][C]0.0636254[/C][C]0.0318127[/C][/ROW]
[ROW][C]270[/C][C]0.971737[/C][C]0.0565265[/C][C]0.0282633[/C][/ROW]
[ROW][C]271[/C][C]0.928156[/C][C]0.143688[/C][C]0.0718442[/C][/ROW]
[ROW][C]272[/C][C]0.839671[/C][C]0.320657[/C][C]0.160329[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265755&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265755&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
60.7917460.4165080.208254
70.7739440.4521120.226056
80.675980.648040.32402
90.6293090.7413830.370691
100.6275970.7448070.372403
110.5309550.938090.469045
120.7260040.5479930.273996
130.6445770.7108470.355423
140.5975390.8049220.402461
150.6422310.7155390.357769
160.5728760.8542470.427124
170.5088490.9823030.491151
180.4453740.8907490.554626
190.4019110.8038230.598089
200.3404490.6808970.659551
210.3931370.7862750.606863
220.3927450.7854890.607255
230.3411370.6822740.658863
240.2989780.5979570.701022
250.2723080.5446150.727692
260.2279780.4559560.772022
270.2514460.5028920.748554
280.2659370.5318730.734063
290.2240740.4481480.775926
300.1971480.3942960.802852
310.2017530.4035070.798247
320.1728420.3456840.827158
330.1492670.2985340.850733
340.1425530.2851060.857447
350.1155720.2311440.884428
360.09737360.1947470.902626
370.08301660.1660330.916983
380.07581890.1516380.924181
390.07767890.1553580.922321
400.06040660.1208130.939593
410.1341480.2682970.865852
420.1092120.2184250.890788
430.09829720.1965940.901703
440.08116150.1623230.918838
450.07133360.1426670.928666
460.05787940.1157590.942121
470.0482220.09644410.951778
480.07261830.1452370.927382
490.07394780.1478960.926052
500.06275930.1255190.937241
510.05052140.1010430.949479
520.08734860.1746970.912651
530.07323990.146480.92676
540.07441380.1488280.925586
550.08058690.1611740.919413
560.06668120.1333620.933319
570.1373570.2747150.862643
580.1637860.3275710.836214
590.1542130.3084260.845787
600.1653440.3306890.834656
610.1525360.3050720.847464
620.1320410.2640810.867959
630.1671520.3343050.832848
640.2288880.4577770.771112
650.2113140.4226290.788686
660.1999920.3999840.800008
670.1812810.3625620.818719
680.1697980.3395960.830202
690.1756460.3512930.824354
700.1564880.3129760.843512
710.1373230.2746460.862677
720.118360.2367190.88164
730.108960.2179190.89104
740.1073880.2147750.892612
750.09706110.1941220.902939
760.08752260.1750450.912477
770.08076970.1615390.91923
780.07301770.1460350.926982
790.06865550.1373110.931345
800.09118950.1823790.90881
810.08262110.1652420.917379
820.08366490.167330.916335
830.0725650.145130.927435
840.1509820.3019630.849018
850.1448160.2896320.855184
860.1323730.2647460.867627
870.1178130.2356260.882187
880.1056510.2113030.894349
890.1151550.2303090.884845
900.1128580.2257170.887142
910.1025780.2051550.897422
920.1868020.3736040.813198
930.169490.3389790.83051
940.1799420.3598840.820058
950.2341730.4683470.765827
960.2319510.4639020.768049
970.2586430.5172860.741357
980.2361280.4722560.763872
990.2382770.4765530.761723
1000.3579790.7159570.642021
1010.3303730.6607460.669627
1020.3147690.6295380.685231
1030.3325310.6650630.667469
1040.3529110.7058210.647089
1050.3692080.7384170.630792
1060.4020150.804030.597985
1070.4009920.8019840.599008
1080.5917080.8165840.408292
1090.711690.576620.28831
1100.7197430.5605140.280257
1110.6983830.6032340.301617
1120.6775910.6448180.322409
1130.822970.3540610.17703
1140.8274210.3451570.172579
1150.8590080.2819830.140992
1160.8942960.2114090.105704
1170.9038670.1922650.0961325
1180.9010380.1979230.0989617
1190.9027110.1945780.0972888
1200.9348620.1302760.065138
1210.92840.1432010.0716003
1220.9344510.1310980.0655488
1230.9419680.1160640.0580321
1240.9571810.08563840.0428192
1250.9585340.08293120.0414656
1260.9529890.09402210.0470111
1270.9500590.09988270.0499414
1280.9448040.1103910.0551957
1290.9534710.0930590.0465295
1300.949060.1018790.0509395
1310.9417370.1165260.058263
1320.9362110.1275770.0637887
1330.933530.132940.0664702
1340.9284070.1431870.0715934
1350.9213480.1573030.0786516
1360.909410.1811810.0905905
1370.9312610.1374780.0687389
1380.9523120.09537530.0476877
1390.9535380.0929240.046462
1400.9514110.09717840.0485892
1410.9438810.1122390.0561194
1420.9509310.09813810.0490691
1430.9428170.1143660.0571832
1440.9468360.1063270.0531636
1450.9428870.1142250.0571125
1460.9461990.1076020.0538009
1470.939420.121160.0605801
1480.9346460.1307080.0653539
1490.9269030.1461940.0730971
1500.930420.139160.0695798
1510.9587920.08241650.0412082
1520.9598460.08030810.040154
1530.9630190.07396240.0369812
1540.9616240.07675210.038376
1550.9633170.07336530.0366826
1560.9580080.08398310.0419916
1570.9673790.06524230.0326212
1580.9678890.0642230.0321115
1590.9628950.07421040.0371052
1600.9564970.08700540.0435027
1610.9694510.06109750.0305488
1620.967630.06473950.0323697
1630.9636740.07265280.0363264
1640.9719380.05612340.0280617
1650.9803090.03938230.0196911
1660.977190.04562090.0228104
1670.9798160.04036740.0201837
1680.9788640.04227110.0211355
1690.9749550.05009030.0250452
1700.9727130.05457440.0272872
1710.9690180.06196410.030982
1720.974710.05058060.0252903
1730.9697660.06046880.0302344
1740.9652950.06940940.0347047
1750.9592990.08140160.0407008
1760.96340.07320080.0366004
1770.9565320.08693690.0434685
1780.9649270.07014670.0350734
1790.9591520.08169580.0408479
1800.9693140.06137210.0306861
1810.9659610.06807830.0340391
1820.9600790.07984290.0399214
1830.9681880.06362340.0318117
1840.9614430.07711310.0385566
1850.9677410.06451740.0322587
1860.9631150.07376940.0368847
1870.9700720.0598550.0299275
1880.9657030.06859360.0342968
1890.9594970.08100590.0405029
1900.9517740.09645230.0482261
1910.9419570.1160860.058043
1920.9372080.1255830.0627916
1930.9413710.1172580.0586291
1940.9457980.1084030.0542016
1950.9380760.1238480.0619241
1960.9339560.1320870.0660437
1970.9246460.1507080.075354
1980.9108170.1783650.0891825
1990.9093670.1812660.090633
2000.898210.2035810.10179
2010.912760.174480.0872401
2020.9015490.1969030.0984515
2030.8855520.2288960.114448
2040.8715520.2568960.128448
2050.8615330.2769350.138467
2060.8618740.2762530.138126
2070.8586780.2826450.141322
2080.848510.3029790.15149
2090.8249360.3501280.175064
2100.8135230.3729540.186477
2110.7913330.4173330.208667
2120.7639980.4720030.236002
2130.7486610.5026780.251339
2140.7153740.5692510.284626
2150.6948770.6102460.305123
2160.6663140.6673730.333686
2170.6504580.6990840.349542
2180.6145960.7708080.385404
2190.5738230.8523530.426177
2200.5411740.9176510.458826
2210.5227690.9544620.477231
2220.5521930.8956150.447807
2230.5092960.9814090.490704
2240.4667590.9335170.533241
2250.5263330.9473340.473667
2260.504140.9917190.49586
2270.4754070.9508140.524593
2280.518320.9633590.48168
2290.5608580.8782850.439142
2300.5788230.8423540.421177
2310.5832180.8335640.416782
2320.6186430.7627140.381357
2330.5785840.8428320.421416
2340.5580490.8839030.441951
2350.5366720.9266570.463328
2360.79490.41020.2051
2370.7579420.4841170.242058
2380.7285250.542950.271475
2390.6912540.6174930.308746
2400.6680550.6638890.331945
2410.6333020.7333970.366698
2420.6617550.6764910.338245
2430.6162630.7674730.383737
2440.6677430.6645140.332257
2450.688960.622080.31104
2460.678260.643480.32174
2470.6697560.6604880.330244
2480.6726480.6547040.327352
2490.6264770.7470460.373523
2500.5837140.8325720.416286
2510.6252590.7494810.374741
2520.6051640.7896720.394836
2530.6043880.7912240.395612
2540.5592190.8815610.440781
2550.5640430.8719140.435957
2560.7000380.5999240.299962
2570.7801770.4396470.219823
2580.9959720.008055580.00402779
2590.9956960.008608520.00430426
2600.9997260.0005481250.000274063
2610.9997240.0005511730.000275587
2620.9993760.001247170.000623583
2630.9988250.002349510.00117475
2640.99740.005200040.00260002
2650.9945610.01087840.0054392
2660.990710.01857960.00928979
2670.9909860.01802790.00901396
2680.9820840.03583260.0179163
2690.9681870.06362540.0318127
2700.9717370.05652650.0282633
2710.9281560.1436880.0718442
2720.8396710.3206570.160329







Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level70.0262172NOK
5% type I error level150.0561798NOK
10% type I error level630.235955NOK

\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 & 7 & 0.0262172 & NOK \tabularnewline
5% type I error level & 15 & 0.0561798 & NOK \tabularnewline
10% type I error level & 63 & 0.235955 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=265755&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]7[/C][C]0.0262172[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]15[/C][C]0.0561798[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]63[/C][C]0.235955[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=265755&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=265755&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 level70.0262172NOK
5% type I error level150.0561798NOK
10% type I error level630.235955NOK



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')
}