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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationFri, 12 Dec 2014 11:49:48 +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/12/t1418385047325xks48ebs4x9d.htm/, Retrieved Thu, 16 May 2024 08:45:02 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=266558, Retrieved Thu, 16 May 2024 08:45:02 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact87

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Multiple Regression] [] [2014-12-11 23:12:41] [02fb6cbf799bcf1e525e4e01c2f27ada]
-    D  [Multiple Regression] [] [2014-12-12 11:05:51] [02fb6cbf799bcf1e525e4e01c2f27ada]
- R PD      [Multiple Regression] [] [2014-12-12 11:49:48] [ec71b09431fe59ba6fc828a3f51756a9] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
0.56	7.5
0.79	2.5
0.68	6.0
0.66	6.5
0.37	1.0
0.71	1.0
0.35	5.5
0.55	8.5
0.76	6.5
0.49	4.5
0.56	2.0
0.60	5.0
0.44	0.5
0.55	5.0
0.58	5.0
0.40	2.5
0.42	5.0
0.58	5.5
0.64	3.5
0.58	3.0
0.44	4.0
0.46	0.5
0.64	6.5
0.59	4.5
0.54	7.5
0.71	5.5
0.20	4.0
0.89	7.5
0.55	7.0
0.71	4.0
0.48	5.5
0.49	2.5
0.58	5.5
0.78	0.5
0.71	3.5
0.51	2.5
0.65	4.5
0.68	4.5
0.24	4.5
0.36	6.0
0.65	2.5
0.79	5.0
0.67	0.0
0.74	5.0
0.72	6.5
0.73	5.0
0.58	6.0
0.67	4.5
0.43	5.5
0.59	1.0
0.43	7.5
0.80	6.0
0.74	5.0
0.43	1.0
0.72	5.0
0.50	6.5
0.45	7.0
0.88	4.5
0.67	0.0
0.32	8.5
0.20	3.5
0.84	7.5
0.83	3.5
0.65	6.0
0.74	1.5
0.53	9.0
0.58	3.5
0.65	3.5
0.64	4.0
0.60	6.5
0.52	7.5
0.53	6.0
0.73	5.0
0.52	5.5
0.61	3.5
0.73	7.5
0.79	1.0
0.29	6.5
0.86	NA
0.37	6.5
0.68	6.5
0.52	7.0
0.26	3.5
0.74	1.5
0.72	4.0
0.24	7.5
0.71	4.5
0.59	0.0
0.27	3.5
0.57	5.5
0.51	5.0
0.69	4.5
0.69	2.5
0.50	7.5
0.63	7.0
0.65	0.0
0.54	4.5
0.69	3.0
0.52	1.5
0.53	3.5
0.74	2.5
0.73	5.5
0.75	8.0
0.70	1.0
0.69	5.0
0.57	4.5
0.14	3.0
0.42	3.0
0.48	8.0
0.27	2.5
0.21	7.0
0.41	0.0
0.56	1.0
0.44	3.5
0.52	5.5
0.59	5.5
0.73	0.5
0.79	7.5
0.67	9
0.88	9.5
0.96	8.5
0.43	7
0.84	8
0.81	10
0.67	7
0.45	8.5
0.58	9
0.70	9.5
0.61	4
0.44	6
0.54	8
0.41	5.5
0.66	9.5
0.83	7.5
0.88	7
0.40	7.5
0.54	8
0.60	7
0.57	7
0.59	6
0.81	10
0.51	2.5
0.65	9
0.59	8
0.68	6
0.65	8.5
0.06	6
0.74	9
0.29	8
0.73	8
0.54	9
0.39	5.5
0.27	5
0.40	7
0.20	5.5
0.85	9
0.42	2
0.68	8.5
0.72	9
0.52	8.5
0.78	9
0.60	7.5
0.93	10
0.73	9
0.81	7.5
0.51	6
0.86	10.5
0.67	8.5
0.50	8
0.74	10
0.85	10.5
0.75	6.5
0.83	9.5
0.82	8.5
0.58	7.5
0.72	5
0.89	8
0.51	10
0.75	7
0.84	7.5
0.84	7.5
0.59	9.5
0.64	6
0.45	10
0.57	7
0.58	3
0.72	6
0.38	7
0.68	10
0.45	7
0.55	3.5
0.73	8
0.73	10
0.73	5.5
0.71	6
0.38	6.5
0.79	6.5
0.32	8.5
0.62	4
0.42	9.5
0.45	8
0.97	8.5
0.67	5.5
0.08	7
0.49	9
0.66	8
0.67	10
0.55	8
0.55	6
0.49	8
0.56	5
0.69	9
0.47	4.5
0.68	8.5
0.43	7
0.00	9.5
0.48	8.5
0.77	7.5
0.71	7.5
0.43	5
0.50	7
0.68	8
0.34	5.5
0.47	8.5
0.33	7.5
0.80	9.5
0.74	7
0.82	8
0.57	8.5
0.46	3.5
0.91	6.5
0.41	6.5
0.64	10.5
0.58	8.5
0.45	8
0.77	10
0.67	10
0.53	9.5
0.07	9
0.65	10
0.76	7.5
0.56	4.5
0.07	4.5
0.72	0.5
0.61	6.5
0.47	4.5
0.06	5.5
0.37	5
0.76	6
0.47	4
0.55	8
0.85	10.5
0.77	8.5
0.79	6.5
0.70	8
0.46	8.5
0.51	5.5
0.65	7
0.57	5
0.68	3.5
0.52	5
0.70	9
0.46	8.5
0.88	5
0.76	9.5
0.74	3
0.56	1.5
0.47	6
0.44	0.5
0.75	6.5
0.78	7.5
0.26	4.5
0.55	8
0.49	9
0.81	7.5
0.45	8.5
0.39	7
0.89	9.5
0.66	6.5
0.34	9.5
0.84	6
0.05	8
0.79	9.5
0.60	8
0.69	8
0.58	9
0.66	5

Tables (Output of Computation)





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=266558&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=266558&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266558&T=0

As an alternative you can also use a QR Code:  
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] = + 4.95535 + 2.03047Totaal[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
Ex[t] =  +  4.95535 +  2.03047Totaal[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266558&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]Ex[t] =  +  4.95535 +  2.03047Totaal[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266558&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266558&T=1

As an alternative you can also use a QR Code:  
QR Code


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

Multiple Linear Regression - Estimated Regression Equation
Ex[t] = + 4.95535 + 2.03047Totaal[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)4.955350.5063319.7871.11462e-195.5731e-20
Totaal2.030470.8217912.4710.01406860.00703431

\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) & 4.95535 & 0.506331 & 9.787 & 1.11462e-19 & 5.5731e-20 \tabularnewline
Totaal & 2.03047 & 0.821791 & 2.471 & 0.0140686 & 0.00703431 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266558&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]4.95535[/C][C]0.506331[/C][C]9.787[/C][C]1.11462e-19[/C][C]5.5731e-20[/C][/ROW]
[ROW][C]Totaal[/C][C]2.03047[/C][C]0.821791[/C][C]2.471[/C][C]0.0140686[/C][C]0.00703431[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266558&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266558&T=2

As an alternative you can also use a QR Code:  
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)4.955350.5063319.7871.11462e-195.5731e-20
Totaal2.030470.8217912.4710.01406860.00703431






Multiple Linear Regression - Regression Statistics
Multiple R0.145064
R-squared0.0210435
Adjusted R-squared0.0175964
F-TEST (value)6.10481
F-TEST (DF numerator)1
F-TEST (DF denominator)284
p-value0.0140686
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.53415
Sum Squared Residuals1823.83

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.145064 \tabularnewline
R-squared & 0.0210435 \tabularnewline
Adjusted R-squared & 0.0175964 \tabularnewline
F-TEST (value) & 6.10481 \tabularnewline
F-TEST (DF numerator) & 1 \tabularnewline
F-TEST (DF denominator) & 284 \tabularnewline
p-value & 0.0140686 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 2.53415 \tabularnewline
Sum Squared Residuals & 1823.83 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266558&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.145064[/C][/ROW]
[ROW][C]R-squared[/C][C]0.0210435[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.0175964[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]6.10481[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]1[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]284[/C][/ROW]
[ROW][C]p-value[/C][C]0.0140686[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]2.53415[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]1823.83[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266558&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266558&T=3

As an alternative you can also use a QR Code:  
QR Code


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

Multiple Linear Regression - Regression Statistics
Multiple R0.145064
R-squared0.0210435
Adjusted R-squared0.0175964
F-TEST (value)6.10481
F-TEST (DF numerator)1
F-TEST (DF denominator)284
p-value0.0140686
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.53415
Sum Squared Residuals1823.83






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
17.56.092421.40758
22.56.55943-4.05943
366.33607-0.336074
46.56.295460.204535
515.70663-4.70663
616.39699-5.39699
75.55.66602-0.166018
88.56.072112.42789
96.56.498510.001488
104.55.95028-1.45028
1126.09242-4.09242
1256.17364-1.17364
130.55.84876-5.34876
1456.07211-1.07211
1556.13303-1.13303
162.55.76754-3.26754
1755.80815-0.808151
185.56.13303-0.633027
193.56.25486-2.75486
2036.13303-3.13303
2145.84876-1.84876
220.55.88937-5.38937
236.56.254860.245145
244.56.15333-1.65333
257.56.051811.44819
265.56.39699-0.896988
2745.36145-1.36145
287.56.762470.737526
2976.072110.927887
3046.39699-2.39699
315.55.92998-0.429979
322.55.95028-3.45028
335.56.13303-0.633027
340.56.53912-6.03912
353.56.39699-2.89699
362.55.99089-3.49089
374.56.27516-1.77516
384.56.33607-1.83607
394.55.44267-0.942666
4065.686320.313677
412.56.27516-3.77516
4256.55943-1.55943
4306.31577-6.31577
4456.4579-1.4579
456.56.417290.0827069
4656.4376-1.4376
4766.13303-0.133027
484.56.31577-1.81577
495.55.82846-0.328456
5016.15333-5.15333
517.55.828461.67154
5266.57973-0.579731
5356.4579-1.4579
5415.82846-4.82846
5556.41729-1.41729
566.55.970590.529411
5775.869071.13093
584.56.74217-2.24217
5906.31577-6.31577
608.55.60512.8949
613.55.36145-1.86145
627.56.660950.83905
633.56.64065-3.14065
6466.27516-0.27516
651.56.4579-4.9579
6696.03152.9685
673.56.13303-2.63303
683.56.27516-2.77516
6946.25486-2.25486
706.56.173640.326364
717.56.01121.4888
7266.0315-0.031503
7356.4376-1.4376
745.56.0112-0.511198
753.56.19394-2.69394
767.56.43761.0624
7716.55943-5.55943
786.55.544190.955811
79NANA0.793373
806.56.336070.163926
816.55.51120.988802
8278.98328-1.98328
833.58.4579-4.9579
841.53.91729-2.41729
8541.942672.05733
867.59.39699-1.89699
874.510.6533-6.15333
8802.00358-2.00358
893.54.11272-0.612722
905.56.49089-0.990894
9156.85638-1.85638
924.58.35638-3.85638
932.50.9705891.52941
947.56.734550.76545
95713.2752-6.27516
9601.55181-1.55181
974.57.85638-3.35638
9837.5112-4.5112
991.54.0315-2.5315
1003.57.4579-3.9579
1012.53.4376-0.937598
1025.53.978211.52179
103813.3767-5.37668
10412.35638-1.35638
10556.61272-1.61272
1064.56.73962-2.23962
10735.80815-2.80815
10830.9299792.07002
109811.0036-3.00358
1102.50.8817511.61825
111712.7878-5.78785
11205.09242-5.09242
11313.34876-2.34876
1143.54.0112-0.511198
1155.56.15333-0.653331
1165.511.4376-5.9376
1170.5-0.4405740.940574
1187.54.815772.68423
11996.242172.75783
1209.57.904611.59539
1218.57.328461.17154
12275.660951.33905
12384.600043.39996
124109.315770.684231
12574.369072.63093
1268.55.633032.86697
12795.876683.12332
1289.511.6939-2.19394
12943.848760.15124
13064.051811.94819
13188.28785-0.287846
1325.52.295463.20454
1339.58.640650.859355
1347.57.242170.257831
13575.267541.73246
1367.55.551811.94819
13787.173640.826364
13876.112720.887278
13977.15333-0.153331
14062.600043.39996
1411013.4909-3.49089
1422.5-0.224842.72484
14397.153331.84667
14488.33607-0.336074
14563.775162.22484
1468.57.577180.92282
14763.45792.5421
14896.544192.45581
14986.43761.5624
15085.051812.94819
15199.24724-0.247237
1525.56.00358-0.50358
15353.767541.23246
15476.861450.138553
1555.53.181252.31875
156912.8082-3.80815
1572-0.1639262.16393
1588.55.917292.58271
15996.51122.4888
1608.56.039122.46088
16197.673641.32636
1627.54.343693.15631
163107.43762.5624
16498.100040.899964
1657.57.490890.00910643
16662.201563.79844
16710.58.315772.18423
1688.56.470592.02941
16984.45793.5421
170106.181253.81875
17110.510.47820.0217927
1726.53.640652.85935
1739.57.620341.87966
1748.57.133031.36697
1757.58.91729-1.41729
17653.762471.23753
17783.990894.00911
178109.478210.521793
17976.160950.83905
1807.56.660950.83905
1817.54.153333.34667
1829.59.75486-0.254855
18361.869074.13093
184109.112720.887278
185710.133-3.13303
18633.41729-0.417293
18764.726931.27307
18873.336073.66393
189108.869071.13093
19079.57211-2.57211
1913.51.93761.5624
19284.43763.5624
1931010.9376-0.937598
1945.55.89699-0.396988
19565.226930.773068
1966.56.55943-0.0594262
1976.53.60512.8949
1988.510.7142-2.21425
19940.3081513.69185
2009.57.369072.13093
20186.424911.57509
2028.59.31577-0.815769
2035.53.617791.88221
20473.950283.04972
20597.295461.70454
20684.315773.68423
207108.072111.92789
20888.07211-0.0721125
20963.950282.04972
21089.09242-1.09242
21152.356382.64362
212910.4097-1.40967
2134.52.336072.16393
2148.57.328461.17154
21572.455354.54465
2169.56.929982.57002
2178.57.518820.981183
2187.56.396991.10301
2197.58.32846-0.828456
22053.970591.02941
22175.336071.66393
22288.14571-0.145713
2235.52.909672.59033
2248.56.625411.87459
2257.54.579732.92027
2269.58.95790.542097
22775.620341.37966
22885.612722.38728
2298.510.8894-2.38937
2303.53.80308-0.303083
2316.55.787850.712154
2326.52.254864.24514
23310.58.133032.36697
2348.56.369072.13093
23584.518823.48118
236106.315773.68423
237106.53153.4685
2389.55.597493.90251
23995.275163.72484
240108.998511.00149
2417.59.09242-1.59242
2424.55.09749-0.597485
2434.510.4173-5.91729
2440.50.1939410.306059
2456.57.90967-1.40967
2464.54.077180.42282
2475.56.20663-0.706627
24855.49851-0.498512
24967.90967-1.90967
25042.072111.92789
25184.181253.81875
25210.58.518821.98118
2538.58.55943-0.0594262
2546.54.876681.62332
25585.389372.61063
2568.58.99089-0.490894
2575.54.775160.72484
25878.11272-1.11272
25957.83607-2.83607
2603.54.5112-1.0112
26152.376682.62332
26296.389372.61063
2638.510.2422-1.74217
26451.998513.00149
2659.512.9579-3.4579
26637.59242-4.59242
2671.51.409670.0903254
268611.3488-5.34876
2690.50.4782070.0217927
2706.55.539120.960879
2717.58.48328-0.983275
2724.52.572111.92789
27384.950283.04972
27498.100040.899964
2757.54.869072.63093
2768.57.247241.25276
27774.262472.73753
2789.59.295460.204535
2796.52.645713.85429
2809.510.1609-0.66095
28163.056882.94312
28285.059432.94057
2839.57.673641.82636
28486.356381.64362
28585.133032.86697
286910.2955-1.29546
2875NANA

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 7.5 & 6.09242 & 1.40758 \tabularnewline
2 & 2.5 & 6.55943 & -4.05943 \tabularnewline
3 & 6 & 6.33607 & -0.336074 \tabularnewline
4 & 6.5 & 6.29546 & 0.204535 \tabularnewline
5 & 1 & 5.70663 & -4.70663 \tabularnewline
6 & 1 & 6.39699 & -5.39699 \tabularnewline
7 & 5.5 & 5.66602 & -0.166018 \tabularnewline
8 & 8.5 & 6.07211 & 2.42789 \tabularnewline
9 & 6.5 & 6.49851 & 0.001488 \tabularnewline
10 & 4.5 & 5.95028 & -1.45028 \tabularnewline
11 & 2 & 6.09242 & -4.09242 \tabularnewline
12 & 5 & 6.17364 & -1.17364 \tabularnewline
13 & 0.5 & 5.84876 & -5.34876 \tabularnewline
14 & 5 & 6.07211 & -1.07211 \tabularnewline
15 & 5 & 6.13303 & -1.13303 \tabularnewline
16 & 2.5 & 5.76754 & -3.26754 \tabularnewline
17 & 5 & 5.80815 & -0.808151 \tabularnewline
18 & 5.5 & 6.13303 & -0.633027 \tabularnewline
19 & 3.5 & 6.25486 & -2.75486 \tabularnewline
20 & 3 & 6.13303 & -3.13303 \tabularnewline
21 & 4 & 5.84876 & -1.84876 \tabularnewline
22 & 0.5 & 5.88937 & -5.38937 \tabularnewline
23 & 6.5 & 6.25486 & 0.245145 \tabularnewline
24 & 4.5 & 6.15333 & -1.65333 \tabularnewline
25 & 7.5 & 6.05181 & 1.44819 \tabularnewline
26 & 5.5 & 6.39699 & -0.896988 \tabularnewline
27 & 4 & 5.36145 & -1.36145 \tabularnewline
28 & 7.5 & 6.76247 & 0.737526 \tabularnewline
29 & 7 & 6.07211 & 0.927887 \tabularnewline
30 & 4 & 6.39699 & -2.39699 \tabularnewline
31 & 5.5 & 5.92998 & -0.429979 \tabularnewline
32 & 2.5 & 5.95028 & -3.45028 \tabularnewline
33 & 5.5 & 6.13303 & -0.633027 \tabularnewline
34 & 0.5 & 6.53912 & -6.03912 \tabularnewline
35 & 3.5 & 6.39699 & -2.89699 \tabularnewline
36 & 2.5 & 5.99089 & -3.49089 \tabularnewline
37 & 4.5 & 6.27516 & -1.77516 \tabularnewline
38 & 4.5 & 6.33607 & -1.83607 \tabularnewline
39 & 4.5 & 5.44267 & -0.942666 \tabularnewline
40 & 6 & 5.68632 & 0.313677 \tabularnewline
41 & 2.5 & 6.27516 & -3.77516 \tabularnewline
42 & 5 & 6.55943 & -1.55943 \tabularnewline
43 & 0 & 6.31577 & -6.31577 \tabularnewline
44 & 5 & 6.4579 & -1.4579 \tabularnewline
45 & 6.5 & 6.41729 & 0.0827069 \tabularnewline
46 & 5 & 6.4376 & -1.4376 \tabularnewline
47 & 6 & 6.13303 & -0.133027 \tabularnewline
48 & 4.5 & 6.31577 & -1.81577 \tabularnewline
49 & 5.5 & 5.82846 & -0.328456 \tabularnewline
50 & 1 & 6.15333 & -5.15333 \tabularnewline
51 & 7.5 & 5.82846 & 1.67154 \tabularnewline
52 & 6 & 6.57973 & -0.579731 \tabularnewline
53 & 5 & 6.4579 & -1.4579 \tabularnewline
54 & 1 & 5.82846 & -4.82846 \tabularnewline
55 & 5 & 6.41729 & -1.41729 \tabularnewline
56 & 6.5 & 5.97059 & 0.529411 \tabularnewline
57 & 7 & 5.86907 & 1.13093 \tabularnewline
58 & 4.5 & 6.74217 & -2.24217 \tabularnewline
59 & 0 & 6.31577 & -6.31577 \tabularnewline
60 & 8.5 & 5.6051 & 2.8949 \tabularnewline
61 & 3.5 & 5.36145 & -1.86145 \tabularnewline
62 & 7.5 & 6.66095 & 0.83905 \tabularnewline
63 & 3.5 & 6.64065 & -3.14065 \tabularnewline
64 & 6 & 6.27516 & -0.27516 \tabularnewline
65 & 1.5 & 6.4579 & -4.9579 \tabularnewline
66 & 9 & 6.0315 & 2.9685 \tabularnewline
67 & 3.5 & 6.13303 & -2.63303 \tabularnewline
68 & 3.5 & 6.27516 & -2.77516 \tabularnewline
69 & 4 & 6.25486 & -2.25486 \tabularnewline
70 & 6.5 & 6.17364 & 0.326364 \tabularnewline
71 & 7.5 & 6.0112 & 1.4888 \tabularnewline
72 & 6 & 6.0315 & -0.031503 \tabularnewline
73 & 5 & 6.4376 & -1.4376 \tabularnewline
74 & 5.5 & 6.0112 & -0.511198 \tabularnewline
75 & 3.5 & 6.19394 & -2.69394 \tabularnewline
76 & 7.5 & 6.4376 & 1.0624 \tabularnewline
77 & 1 & 6.55943 & -5.55943 \tabularnewline
78 & 6.5 & 5.54419 & 0.955811 \tabularnewline
79 & NA & NA & 0.793373 \tabularnewline
80 & 6.5 & 6.33607 & 0.163926 \tabularnewline
81 & 6.5 & 5.5112 & 0.988802 \tabularnewline
82 & 7 & 8.98328 & -1.98328 \tabularnewline
83 & 3.5 & 8.4579 & -4.9579 \tabularnewline
84 & 1.5 & 3.91729 & -2.41729 \tabularnewline
85 & 4 & 1.94267 & 2.05733 \tabularnewline
86 & 7.5 & 9.39699 & -1.89699 \tabularnewline
87 & 4.5 & 10.6533 & -6.15333 \tabularnewline
88 & 0 & 2.00358 & -2.00358 \tabularnewline
89 & 3.5 & 4.11272 & -0.612722 \tabularnewline
90 & 5.5 & 6.49089 & -0.990894 \tabularnewline
91 & 5 & 6.85638 & -1.85638 \tabularnewline
92 & 4.5 & 8.35638 & -3.85638 \tabularnewline
93 & 2.5 & 0.970589 & 1.52941 \tabularnewline
94 & 7.5 & 6.73455 & 0.76545 \tabularnewline
95 & 7 & 13.2752 & -6.27516 \tabularnewline
96 & 0 & 1.55181 & -1.55181 \tabularnewline
97 & 4.5 & 7.85638 & -3.35638 \tabularnewline
98 & 3 & 7.5112 & -4.5112 \tabularnewline
99 & 1.5 & 4.0315 & -2.5315 \tabularnewline
100 & 3.5 & 7.4579 & -3.9579 \tabularnewline
101 & 2.5 & 3.4376 & -0.937598 \tabularnewline
102 & 5.5 & 3.97821 & 1.52179 \tabularnewline
103 & 8 & 13.3767 & -5.37668 \tabularnewline
104 & 1 & 2.35638 & -1.35638 \tabularnewline
105 & 5 & 6.61272 & -1.61272 \tabularnewline
106 & 4.5 & 6.73962 & -2.23962 \tabularnewline
107 & 3 & 5.80815 & -2.80815 \tabularnewline
108 & 3 & 0.929979 & 2.07002 \tabularnewline
109 & 8 & 11.0036 & -3.00358 \tabularnewline
110 & 2.5 & 0.881751 & 1.61825 \tabularnewline
111 & 7 & 12.7878 & -5.78785 \tabularnewline
112 & 0 & 5.09242 & -5.09242 \tabularnewline
113 & 1 & 3.34876 & -2.34876 \tabularnewline
114 & 3.5 & 4.0112 & -0.511198 \tabularnewline
115 & 5.5 & 6.15333 & -0.653331 \tabularnewline
116 & 5.5 & 11.4376 & -5.9376 \tabularnewline
117 & 0.5 & -0.440574 & 0.940574 \tabularnewline
118 & 7.5 & 4.81577 & 2.68423 \tabularnewline
119 & 9 & 6.24217 & 2.75783 \tabularnewline
120 & 9.5 & 7.90461 & 1.59539 \tabularnewline
121 & 8.5 & 7.32846 & 1.17154 \tabularnewline
122 & 7 & 5.66095 & 1.33905 \tabularnewline
123 & 8 & 4.60004 & 3.39996 \tabularnewline
124 & 10 & 9.31577 & 0.684231 \tabularnewline
125 & 7 & 4.36907 & 2.63093 \tabularnewline
126 & 8.5 & 5.63303 & 2.86697 \tabularnewline
127 & 9 & 5.87668 & 3.12332 \tabularnewline
128 & 9.5 & 11.6939 & -2.19394 \tabularnewline
129 & 4 & 3.84876 & 0.15124 \tabularnewline
130 & 6 & 4.05181 & 1.94819 \tabularnewline
131 & 8 & 8.28785 & -0.287846 \tabularnewline
132 & 5.5 & 2.29546 & 3.20454 \tabularnewline
133 & 9.5 & 8.64065 & 0.859355 \tabularnewline
134 & 7.5 & 7.24217 & 0.257831 \tabularnewline
135 & 7 & 5.26754 & 1.73246 \tabularnewline
136 & 7.5 & 5.55181 & 1.94819 \tabularnewline
137 & 8 & 7.17364 & 0.826364 \tabularnewline
138 & 7 & 6.11272 & 0.887278 \tabularnewline
139 & 7 & 7.15333 & -0.153331 \tabularnewline
140 & 6 & 2.60004 & 3.39996 \tabularnewline
141 & 10 & 13.4909 & -3.49089 \tabularnewline
142 & 2.5 & -0.22484 & 2.72484 \tabularnewline
143 & 9 & 7.15333 & 1.84667 \tabularnewline
144 & 8 & 8.33607 & -0.336074 \tabularnewline
145 & 6 & 3.77516 & 2.22484 \tabularnewline
146 & 8.5 & 7.57718 & 0.92282 \tabularnewline
147 & 6 & 3.4579 & 2.5421 \tabularnewline
148 & 9 & 6.54419 & 2.45581 \tabularnewline
149 & 8 & 6.4376 & 1.5624 \tabularnewline
150 & 8 & 5.05181 & 2.94819 \tabularnewline
151 & 9 & 9.24724 & -0.247237 \tabularnewline
152 & 5.5 & 6.00358 & -0.50358 \tabularnewline
153 & 5 & 3.76754 & 1.23246 \tabularnewline
154 & 7 & 6.86145 & 0.138553 \tabularnewline
155 & 5.5 & 3.18125 & 2.31875 \tabularnewline
156 & 9 & 12.8082 & -3.80815 \tabularnewline
157 & 2 & -0.163926 & 2.16393 \tabularnewline
158 & 8.5 & 5.91729 & 2.58271 \tabularnewline
159 & 9 & 6.5112 & 2.4888 \tabularnewline
160 & 8.5 & 6.03912 & 2.46088 \tabularnewline
161 & 9 & 7.67364 & 1.32636 \tabularnewline
162 & 7.5 & 4.34369 & 3.15631 \tabularnewline
163 & 10 & 7.4376 & 2.5624 \tabularnewline
164 & 9 & 8.10004 & 0.899964 \tabularnewline
165 & 7.5 & 7.49089 & 0.00910643 \tabularnewline
166 & 6 & 2.20156 & 3.79844 \tabularnewline
167 & 10.5 & 8.31577 & 2.18423 \tabularnewline
168 & 8.5 & 6.47059 & 2.02941 \tabularnewline
169 & 8 & 4.4579 & 3.5421 \tabularnewline
170 & 10 & 6.18125 & 3.81875 \tabularnewline
171 & 10.5 & 10.4782 & 0.0217927 \tabularnewline
172 & 6.5 & 3.64065 & 2.85935 \tabularnewline
173 & 9.5 & 7.62034 & 1.87966 \tabularnewline
174 & 8.5 & 7.13303 & 1.36697 \tabularnewline
175 & 7.5 & 8.91729 & -1.41729 \tabularnewline
176 & 5 & 3.76247 & 1.23753 \tabularnewline
177 & 8 & 3.99089 & 4.00911 \tabularnewline
178 & 10 & 9.47821 & 0.521793 \tabularnewline
179 & 7 & 6.16095 & 0.83905 \tabularnewline
180 & 7.5 & 6.66095 & 0.83905 \tabularnewline
181 & 7.5 & 4.15333 & 3.34667 \tabularnewline
182 & 9.5 & 9.75486 & -0.254855 \tabularnewline
183 & 6 & 1.86907 & 4.13093 \tabularnewline
184 & 10 & 9.11272 & 0.887278 \tabularnewline
185 & 7 & 10.133 & -3.13303 \tabularnewline
186 & 3 & 3.41729 & -0.417293 \tabularnewline
187 & 6 & 4.72693 & 1.27307 \tabularnewline
188 & 7 & 3.33607 & 3.66393 \tabularnewline
189 & 10 & 8.86907 & 1.13093 \tabularnewline
190 & 7 & 9.57211 & -2.57211 \tabularnewline
191 & 3.5 & 1.9376 & 1.5624 \tabularnewline
192 & 8 & 4.4376 & 3.5624 \tabularnewline
193 & 10 & 10.9376 & -0.937598 \tabularnewline
194 & 5.5 & 5.89699 & -0.396988 \tabularnewline
195 & 6 & 5.22693 & 0.773068 \tabularnewline
196 & 6.5 & 6.55943 & -0.0594262 \tabularnewline
197 & 6.5 & 3.6051 & 2.8949 \tabularnewline
198 & 8.5 & 10.7142 & -2.21425 \tabularnewline
199 & 4 & 0.308151 & 3.69185 \tabularnewline
200 & 9.5 & 7.36907 & 2.13093 \tabularnewline
201 & 8 & 6.42491 & 1.57509 \tabularnewline
202 & 8.5 & 9.31577 & -0.815769 \tabularnewline
203 & 5.5 & 3.61779 & 1.88221 \tabularnewline
204 & 7 & 3.95028 & 3.04972 \tabularnewline
205 & 9 & 7.29546 & 1.70454 \tabularnewline
206 & 8 & 4.31577 & 3.68423 \tabularnewline
207 & 10 & 8.07211 & 1.92789 \tabularnewline
208 & 8 & 8.07211 & -0.0721125 \tabularnewline
209 & 6 & 3.95028 & 2.04972 \tabularnewline
210 & 8 & 9.09242 & -1.09242 \tabularnewline
211 & 5 & 2.35638 & 2.64362 \tabularnewline
212 & 9 & 10.4097 & -1.40967 \tabularnewline
213 & 4.5 & 2.33607 & 2.16393 \tabularnewline
214 & 8.5 & 7.32846 & 1.17154 \tabularnewline
215 & 7 & 2.45535 & 4.54465 \tabularnewline
216 & 9.5 & 6.92998 & 2.57002 \tabularnewline
217 & 8.5 & 7.51882 & 0.981183 \tabularnewline
218 & 7.5 & 6.39699 & 1.10301 \tabularnewline
219 & 7.5 & 8.32846 & -0.828456 \tabularnewline
220 & 5 & 3.97059 & 1.02941 \tabularnewline
221 & 7 & 5.33607 & 1.66393 \tabularnewline
222 & 8 & 8.14571 & -0.145713 \tabularnewline
223 & 5.5 & 2.90967 & 2.59033 \tabularnewline
224 & 8.5 & 6.62541 & 1.87459 \tabularnewline
225 & 7.5 & 4.57973 & 2.92027 \tabularnewline
226 & 9.5 & 8.9579 & 0.542097 \tabularnewline
227 & 7 & 5.62034 & 1.37966 \tabularnewline
228 & 8 & 5.61272 & 2.38728 \tabularnewline
229 & 8.5 & 10.8894 & -2.38937 \tabularnewline
230 & 3.5 & 3.80308 & -0.303083 \tabularnewline
231 & 6.5 & 5.78785 & 0.712154 \tabularnewline
232 & 6.5 & 2.25486 & 4.24514 \tabularnewline
233 & 10.5 & 8.13303 & 2.36697 \tabularnewline
234 & 8.5 & 6.36907 & 2.13093 \tabularnewline
235 & 8 & 4.51882 & 3.48118 \tabularnewline
236 & 10 & 6.31577 & 3.68423 \tabularnewline
237 & 10 & 6.5315 & 3.4685 \tabularnewline
238 & 9.5 & 5.59749 & 3.90251 \tabularnewline
239 & 9 & 5.27516 & 3.72484 \tabularnewline
240 & 10 & 8.99851 & 1.00149 \tabularnewline
241 & 7.5 & 9.09242 & -1.59242 \tabularnewline
242 & 4.5 & 5.09749 & -0.597485 \tabularnewline
243 & 4.5 & 10.4173 & -5.91729 \tabularnewline
244 & 0.5 & 0.193941 & 0.306059 \tabularnewline
245 & 6.5 & 7.90967 & -1.40967 \tabularnewline
246 & 4.5 & 4.07718 & 0.42282 \tabularnewline
247 & 5.5 & 6.20663 & -0.706627 \tabularnewline
248 & 5 & 5.49851 & -0.498512 \tabularnewline
249 & 6 & 7.90967 & -1.90967 \tabularnewline
250 & 4 & 2.07211 & 1.92789 \tabularnewline
251 & 8 & 4.18125 & 3.81875 \tabularnewline
252 & 10.5 & 8.51882 & 1.98118 \tabularnewline
253 & 8.5 & 8.55943 & -0.0594262 \tabularnewline
254 & 6.5 & 4.87668 & 1.62332 \tabularnewline
255 & 8 & 5.38937 & 2.61063 \tabularnewline
256 & 8.5 & 8.99089 & -0.490894 \tabularnewline
257 & 5.5 & 4.77516 & 0.72484 \tabularnewline
258 & 7 & 8.11272 & -1.11272 \tabularnewline
259 & 5 & 7.83607 & -2.83607 \tabularnewline
260 & 3.5 & 4.5112 & -1.0112 \tabularnewline
261 & 5 & 2.37668 & 2.62332 \tabularnewline
262 & 9 & 6.38937 & 2.61063 \tabularnewline
263 & 8.5 & 10.2422 & -1.74217 \tabularnewline
264 & 5 & 1.99851 & 3.00149 \tabularnewline
265 & 9.5 & 12.9579 & -3.4579 \tabularnewline
266 & 3 & 7.59242 & -4.59242 \tabularnewline
267 & 1.5 & 1.40967 & 0.0903254 \tabularnewline
268 & 6 & 11.3488 & -5.34876 \tabularnewline
269 & 0.5 & 0.478207 & 0.0217927 \tabularnewline
270 & 6.5 & 5.53912 & 0.960879 \tabularnewline
271 & 7.5 & 8.48328 & -0.983275 \tabularnewline
272 & 4.5 & 2.57211 & 1.92789 \tabularnewline
273 & 8 & 4.95028 & 3.04972 \tabularnewline
274 & 9 & 8.10004 & 0.899964 \tabularnewline
275 & 7.5 & 4.86907 & 2.63093 \tabularnewline
276 & 8.5 & 7.24724 & 1.25276 \tabularnewline
277 & 7 & 4.26247 & 2.73753 \tabularnewline
278 & 9.5 & 9.29546 & 0.204535 \tabularnewline
279 & 6.5 & 2.64571 & 3.85429 \tabularnewline
280 & 9.5 & 10.1609 & -0.66095 \tabularnewline
281 & 6 & 3.05688 & 2.94312 \tabularnewline
282 & 8 & 5.05943 & 2.94057 \tabularnewline
283 & 9.5 & 7.67364 & 1.82636 \tabularnewline
284 & 8 & 6.35638 & 1.64362 \tabularnewline
285 & 8 & 5.13303 & 2.86697 \tabularnewline
286 & 9 & 10.2955 & -1.29546 \tabularnewline
287 & 5 & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266558&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]6.09242[/C][C]1.40758[/C][/ROW]
[ROW][C]2[/C][C]2.5[/C][C]6.55943[/C][C]-4.05943[/C][/ROW]
[ROW][C]3[/C][C]6[/C][C]6.33607[/C][C]-0.336074[/C][/ROW]
[ROW][C]4[/C][C]6.5[/C][C]6.29546[/C][C]0.204535[/C][/ROW]
[ROW][C]5[/C][C]1[/C][C]5.70663[/C][C]-4.70663[/C][/ROW]
[ROW][C]6[/C][C]1[/C][C]6.39699[/C][C]-5.39699[/C][/ROW]
[ROW][C]7[/C][C]5.5[/C][C]5.66602[/C][C]-0.166018[/C][/ROW]
[ROW][C]8[/C][C]8.5[/C][C]6.07211[/C][C]2.42789[/C][/ROW]
[ROW][C]9[/C][C]6.5[/C][C]6.49851[/C][C]0.001488[/C][/ROW]
[ROW][C]10[/C][C]4.5[/C][C]5.95028[/C][C]-1.45028[/C][/ROW]
[ROW][C]11[/C][C]2[/C][C]6.09242[/C][C]-4.09242[/C][/ROW]
[ROW][C]12[/C][C]5[/C][C]6.17364[/C][C]-1.17364[/C][/ROW]
[ROW][C]13[/C][C]0.5[/C][C]5.84876[/C][C]-5.34876[/C][/ROW]
[ROW][C]14[/C][C]5[/C][C]6.07211[/C][C]-1.07211[/C][/ROW]
[ROW][C]15[/C][C]5[/C][C]6.13303[/C][C]-1.13303[/C][/ROW]
[ROW][C]16[/C][C]2.5[/C][C]5.76754[/C][C]-3.26754[/C][/ROW]
[ROW][C]17[/C][C]5[/C][C]5.80815[/C][C]-0.808151[/C][/ROW]
[ROW][C]18[/C][C]5.5[/C][C]6.13303[/C][C]-0.633027[/C][/ROW]
[ROW][C]19[/C][C]3.5[/C][C]6.25486[/C][C]-2.75486[/C][/ROW]
[ROW][C]20[/C][C]3[/C][C]6.13303[/C][C]-3.13303[/C][/ROW]
[ROW][C]21[/C][C]4[/C][C]5.84876[/C][C]-1.84876[/C][/ROW]
[ROW][C]22[/C][C]0.5[/C][C]5.88937[/C][C]-5.38937[/C][/ROW]
[ROW][C]23[/C][C]6.5[/C][C]6.25486[/C][C]0.245145[/C][/ROW]
[ROW][C]24[/C][C]4.5[/C][C]6.15333[/C][C]-1.65333[/C][/ROW]
[ROW][C]25[/C][C]7.5[/C][C]6.05181[/C][C]1.44819[/C][/ROW]
[ROW][C]26[/C][C]5.5[/C][C]6.39699[/C][C]-0.896988[/C][/ROW]
[ROW][C]27[/C][C]4[/C][C]5.36145[/C][C]-1.36145[/C][/ROW]
[ROW][C]28[/C][C]7.5[/C][C]6.76247[/C][C]0.737526[/C][/ROW]
[ROW][C]29[/C][C]7[/C][C]6.07211[/C][C]0.927887[/C][/ROW]
[ROW][C]30[/C][C]4[/C][C]6.39699[/C][C]-2.39699[/C][/ROW]
[ROW][C]31[/C][C]5.5[/C][C]5.92998[/C][C]-0.429979[/C][/ROW]
[ROW][C]32[/C][C]2.5[/C][C]5.95028[/C][C]-3.45028[/C][/ROW]
[ROW][C]33[/C][C]5.5[/C][C]6.13303[/C][C]-0.633027[/C][/ROW]
[ROW][C]34[/C][C]0.5[/C][C]6.53912[/C][C]-6.03912[/C][/ROW]
[ROW][C]35[/C][C]3.5[/C][C]6.39699[/C][C]-2.89699[/C][/ROW]
[ROW][C]36[/C][C]2.5[/C][C]5.99089[/C][C]-3.49089[/C][/ROW]
[ROW][C]37[/C][C]4.5[/C][C]6.27516[/C][C]-1.77516[/C][/ROW]
[ROW][C]38[/C][C]4.5[/C][C]6.33607[/C][C]-1.83607[/C][/ROW]
[ROW][C]39[/C][C]4.5[/C][C]5.44267[/C][C]-0.942666[/C][/ROW]
[ROW][C]40[/C][C]6[/C][C]5.68632[/C][C]0.313677[/C][/ROW]
[ROW][C]41[/C][C]2.5[/C][C]6.27516[/C][C]-3.77516[/C][/ROW]
[ROW][C]42[/C][C]5[/C][C]6.55943[/C][C]-1.55943[/C][/ROW]
[ROW][C]43[/C][C]0[/C][C]6.31577[/C][C]-6.31577[/C][/ROW]
[ROW][C]44[/C][C]5[/C][C]6.4579[/C][C]-1.4579[/C][/ROW]
[ROW][C]45[/C][C]6.5[/C][C]6.41729[/C][C]0.0827069[/C][/ROW]
[ROW][C]46[/C][C]5[/C][C]6.4376[/C][C]-1.4376[/C][/ROW]
[ROW][C]47[/C][C]6[/C][C]6.13303[/C][C]-0.133027[/C][/ROW]
[ROW][C]48[/C][C]4.5[/C][C]6.31577[/C][C]-1.81577[/C][/ROW]
[ROW][C]49[/C][C]5.5[/C][C]5.82846[/C][C]-0.328456[/C][/ROW]
[ROW][C]50[/C][C]1[/C][C]6.15333[/C][C]-5.15333[/C][/ROW]
[ROW][C]51[/C][C]7.5[/C][C]5.82846[/C][C]1.67154[/C][/ROW]
[ROW][C]52[/C][C]6[/C][C]6.57973[/C][C]-0.579731[/C][/ROW]
[ROW][C]53[/C][C]5[/C][C]6.4579[/C][C]-1.4579[/C][/ROW]
[ROW][C]54[/C][C]1[/C][C]5.82846[/C][C]-4.82846[/C][/ROW]
[ROW][C]55[/C][C]5[/C][C]6.41729[/C][C]-1.41729[/C][/ROW]
[ROW][C]56[/C][C]6.5[/C][C]5.97059[/C][C]0.529411[/C][/ROW]
[ROW][C]57[/C][C]7[/C][C]5.86907[/C][C]1.13093[/C][/ROW]
[ROW][C]58[/C][C]4.5[/C][C]6.74217[/C][C]-2.24217[/C][/ROW]
[ROW][C]59[/C][C]0[/C][C]6.31577[/C][C]-6.31577[/C][/ROW]
[ROW][C]60[/C][C]8.5[/C][C]5.6051[/C][C]2.8949[/C][/ROW]
[ROW][C]61[/C][C]3.5[/C][C]5.36145[/C][C]-1.86145[/C][/ROW]
[ROW][C]62[/C][C]7.5[/C][C]6.66095[/C][C]0.83905[/C][/ROW]
[ROW][C]63[/C][C]3.5[/C][C]6.64065[/C][C]-3.14065[/C][/ROW]
[ROW][C]64[/C][C]6[/C][C]6.27516[/C][C]-0.27516[/C][/ROW]
[ROW][C]65[/C][C]1.5[/C][C]6.4579[/C][C]-4.9579[/C][/ROW]
[ROW][C]66[/C][C]9[/C][C]6.0315[/C][C]2.9685[/C][/ROW]
[ROW][C]67[/C][C]3.5[/C][C]6.13303[/C][C]-2.63303[/C][/ROW]
[ROW][C]68[/C][C]3.5[/C][C]6.27516[/C][C]-2.77516[/C][/ROW]
[ROW][C]69[/C][C]4[/C][C]6.25486[/C][C]-2.25486[/C][/ROW]
[ROW][C]70[/C][C]6.5[/C][C]6.17364[/C][C]0.326364[/C][/ROW]
[ROW][C]71[/C][C]7.5[/C][C]6.0112[/C][C]1.4888[/C][/ROW]
[ROW][C]72[/C][C]6[/C][C]6.0315[/C][C]-0.031503[/C][/ROW]
[ROW][C]73[/C][C]5[/C][C]6.4376[/C][C]-1.4376[/C][/ROW]
[ROW][C]74[/C][C]5.5[/C][C]6.0112[/C][C]-0.511198[/C][/ROW]
[ROW][C]75[/C][C]3.5[/C][C]6.19394[/C][C]-2.69394[/C][/ROW]
[ROW][C]76[/C][C]7.5[/C][C]6.4376[/C][C]1.0624[/C][/ROW]
[ROW][C]77[/C][C]1[/C][C]6.55943[/C][C]-5.55943[/C][/ROW]
[ROW][C]78[/C][C]6.5[/C][C]5.54419[/C][C]0.955811[/C][/ROW]
[ROW][C]79[/C][C]NA[/C][C]NA[/C][C]0.793373[/C][/ROW]
[ROW][C]80[/C][C]6.5[/C][C]6.33607[/C][C]0.163926[/C][/ROW]
[ROW][C]81[/C][C]6.5[/C][C]5.5112[/C][C]0.988802[/C][/ROW]
[ROW][C]82[/C][C]7[/C][C]8.98328[/C][C]-1.98328[/C][/ROW]
[ROW][C]83[/C][C]3.5[/C][C]8.4579[/C][C]-4.9579[/C][/ROW]
[ROW][C]84[/C][C]1.5[/C][C]3.91729[/C][C]-2.41729[/C][/ROW]
[ROW][C]85[/C][C]4[/C][C]1.94267[/C][C]2.05733[/C][/ROW]
[ROW][C]86[/C][C]7.5[/C][C]9.39699[/C][C]-1.89699[/C][/ROW]
[ROW][C]87[/C][C]4.5[/C][C]10.6533[/C][C]-6.15333[/C][/ROW]
[ROW][C]88[/C][C]0[/C][C]2.00358[/C][C]-2.00358[/C][/ROW]
[ROW][C]89[/C][C]3.5[/C][C]4.11272[/C][C]-0.612722[/C][/ROW]
[ROW][C]90[/C][C]5.5[/C][C]6.49089[/C][C]-0.990894[/C][/ROW]
[ROW][C]91[/C][C]5[/C][C]6.85638[/C][C]-1.85638[/C][/ROW]
[ROW][C]92[/C][C]4.5[/C][C]8.35638[/C][C]-3.85638[/C][/ROW]
[ROW][C]93[/C][C]2.5[/C][C]0.970589[/C][C]1.52941[/C][/ROW]
[ROW][C]94[/C][C]7.5[/C][C]6.73455[/C][C]0.76545[/C][/ROW]
[ROW][C]95[/C][C]7[/C][C]13.2752[/C][C]-6.27516[/C][/ROW]
[ROW][C]96[/C][C]0[/C][C]1.55181[/C][C]-1.55181[/C][/ROW]
[ROW][C]97[/C][C]4.5[/C][C]7.85638[/C][C]-3.35638[/C][/ROW]
[ROW][C]98[/C][C]3[/C][C]7.5112[/C][C]-4.5112[/C][/ROW]
[ROW][C]99[/C][C]1.5[/C][C]4.0315[/C][C]-2.5315[/C][/ROW]
[ROW][C]100[/C][C]3.5[/C][C]7.4579[/C][C]-3.9579[/C][/ROW]
[ROW][C]101[/C][C]2.5[/C][C]3.4376[/C][C]-0.937598[/C][/ROW]
[ROW][C]102[/C][C]5.5[/C][C]3.97821[/C][C]1.52179[/C][/ROW]
[ROW][C]103[/C][C]8[/C][C]13.3767[/C][C]-5.37668[/C][/ROW]
[ROW][C]104[/C][C]1[/C][C]2.35638[/C][C]-1.35638[/C][/ROW]
[ROW][C]105[/C][C]5[/C][C]6.61272[/C][C]-1.61272[/C][/ROW]
[ROW][C]106[/C][C]4.5[/C][C]6.73962[/C][C]-2.23962[/C][/ROW]
[ROW][C]107[/C][C]3[/C][C]5.80815[/C][C]-2.80815[/C][/ROW]
[ROW][C]108[/C][C]3[/C][C]0.929979[/C][C]2.07002[/C][/ROW]
[ROW][C]109[/C][C]8[/C][C]11.0036[/C][C]-3.00358[/C][/ROW]
[ROW][C]110[/C][C]2.5[/C][C]0.881751[/C][C]1.61825[/C][/ROW]
[ROW][C]111[/C][C]7[/C][C]12.7878[/C][C]-5.78785[/C][/ROW]
[ROW][C]112[/C][C]0[/C][C]5.09242[/C][C]-5.09242[/C][/ROW]
[ROW][C]113[/C][C]1[/C][C]3.34876[/C][C]-2.34876[/C][/ROW]
[ROW][C]114[/C][C]3.5[/C][C]4.0112[/C][C]-0.511198[/C][/ROW]
[ROW][C]115[/C][C]5.5[/C][C]6.15333[/C][C]-0.653331[/C][/ROW]
[ROW][C]116[/C][C]5.5[/C][C]11.4376[/C][C]-5.9376[/C][/ROW]
[ROW][C]117[/C][C]0.5[/C][C]-0.440574[/C][C]0.940574[/C][/ROW]
[ROW][C]118[/C][C]7.5[/C][C]4.81577[/C][C]2.68423[/C][/ROW]
[ROW][C]119[/C][C]9[/C][C]6.24217[/C][C]2.75783[/C][/ROW]
[ROW][C]120[/C][C]9.5[/C][C]7.90461[/C][C]1.59539[/C][/ROW]
[ROW][C]121[/C][C]8.5[/C][C]7.32846[/C][C]1.17154[/C][/ROW]
[ROW][C]122[/C][C]7[/C][C]5.66095[/C][C]1.33905[/C][/ROW]
[ROW][C]123[/C][C]8[/C][C]4.60004[/C][C]3.39996[/C][/ROW]
[ROW][C]124[/C][C]10[/C][C]9.31577[/C][C]0.684231[/C][/ROW]
[ROW][C]125[/C][C]7[/C][C]4.36907[/C][C]2.63093[/C][/ROW]
[ROW][C]126[/C][C]8.5[/C][C]5.63303[/C][C]2.86697[/C][/ROW]
[ROW][C]127[/C][C]9[/C][C]5.87668[/C][C]3.12332[/C][/ROW]
[ROW][C]128[/C][C]9.5[/C][C]11.6939[/C][C]-2.19394[/C][/ROW]
[ROW][C]129[/C][C]4[/C][C]3.84876[/C][C]0.15124[/C][/ROW]
[ROW][C]130[/C][C]6[/C][C]4.05181[/C][C]1.94819[/C][/ROW]
[ROW][C]131[/C][C]8[/C][C]8.28785[/C][C]-0.287846[/C][/ROW]
[ROW][C]132[/C][C]5.5[/C][C]2.29546[/C][C]3.20454[/C][/ROW]
[ROW][C]133[/C][C]9.5[/C][C]8.64065[/C][C]0.859355[/C][/ROW]
[ROW][C]134[/C][C]7.5[/C][C]7.24217[/C][C]0.257831[/C][/ROW]
[ROW][C]135[/C][C]7[/C][C]5.26754[/C][C]1.73246[/C][/ROW]
[ROW][C]136[/C][C]7.5[/C][C]5.55181[/C][C]1.94819[/C][/ROW]
[ROW][C]137[/C][C]8[/C][C]7.17364[/C][C]0.826364[/C][/ROW]
[ROW][C]138[/C][C]7[/C][C]6.11272[/C][C]0.887278[/C][/ROW]
[ROW][C]139[/C][C]7[/C][C]7.15333[/C][C]-0.153331[/C][/ROW]
[ROW][C]140[/C][C]6[/C][C]2.60004[/C][C]3.39996[/C][/ROW]
[ROW][C]141[/C][C]10[/C][C]13.4909[/C][C]-3.49089[/C][/ROW]
[ROW][C]142[/C][C]2.5[/C][C]-0.22484[/C][C]2.72484[/C][/ROW]
[ROW][C]143[/C][C]9[/C][C]7.15333[/C][C]1.84667[/C][/ROW]
[ROW][C]144[/C][C]8[/C][C]8.33607[/C][C]-0.336074[/C][/ROW]
[ROW][C]145[/C][C]6[/C][C]3.77516[/C][C]2.22484[/C][/ROW]
[ROW][C]146[/C][C]8.5[/C][C]7.57718[/C][C]0.92282[/C][/ROW]
[ROW][C]147[/C][C]6[/C][C]3.4579[/C][C]2.5421[/C][/ROW]
[ROW][C]148[/C][C]9[/C][C]6.54419[/C][C]2.45581[/C][/ROW]
[ROW][C]149[/C][C]8[/C][C]6.4376[/C][C]1.5624[/C][/ROW]
[ROW][C]150[/C][C]8[/C][C]5.05181[/C][C]2.94819[/C][/ROW]
[ROW][C]151[/C][C]9[/C][C]9.24724[/C][C]-0.247237[/C][/ROW]
[ROW][C]152[/C][C]5.5[/C][C]6.00358[/C][C]-0.50358[/C][/ROW]
[ROW][C]153[/C][C]5[/C][C]3.76754[/C][C]1.23246[/C][/ROW]
[ROW][C]154[/C][C]7[/C][C]6.86145[/C][C]0.138553[/C][/ROW]
[ROW][C]155[/C][C]5.5[/C][C]3.18125[/C][C]2.31875[/C][/ROW]
[ROW][C]156[/C][C]9[/C][C]12.8082[/C][C]-3.80815[/C][/ROW]
[ROW][C]157[/C][C]2[/C][C]-0.163926[/C][C]2.16393[/C][/ROW]
[ROW][C]158[/C][C]8.5[/C][C]5.91729[/C][C]2.58271[/C][/ROW]
[ROW][C]159[/C][C]9[/C][C]6.5112[/C][C]2.4888[/C][/ROW]
[ROW][C]160[/C][C]8.5[/C][C]6.03912[/C][C]2.46088[/C][/ROW]
[ROW][C]161[/C][C]9[/C][C]7.67364[/C][C]1.32636[/C][/ROW]
[ROW][C]162[/C][C]7.5[/C][C]4.34369[/C][C]3.15631[/C][/ROW]
[ROW][C]163[/C][C]10[/C][C]7.4376[/C][C]2.5624[/C][/ROW]
[ROW][C]164[/C][C]9[/C][C]8.10004[/C][C]0.899964[/C][/ROW]
[ROW][C]165[/C][C]7.5[/C][C]7.49089[/C][C]0.00910643[/C][/ROW]
[ROW][C]166[/C][C]6[/C][C]2.20156[/C][C]3.79844[/C][/ROW]
[ROW][C]167[/C][C]10.5[/C][C]8.31577[/C][C]2.18423[/C][/ROW]
[ROW][C]168[/C][C]8.5[/C][C]6.47059[/C][C]2.02941[/C][/ROW]
[ROW][C]169[/C][C]8[/C][C]4.4579[/C][C]3.5421[/C][/ROW]
[ROW][C]170[/C][C]10[/C][C]6.18125[/C][C]3.81875[/C][/ROW]
[ROW][C]171[/C][C]10.5[/C][C]10.4782[/C][C]0.0217927[/C][/ROW]
[ROW][C]172[/C][C]6.5[/C][C]3.64065[/C][C]2.85935[/C][/ROW]
[ROW][C]173[/C][C]9.5[/C][C]7.62034[/C][C]1.87966[/C][/ROW]
[ROW][C]174[/C][C]8.5[/C][C]7.13303[/C][C]1.36697[/C][/ROW]
[ROW][C]175[/C][C]7.5[/C][C]8.91729[/C][C]-1.41729[/C][/ROW]
[ROW][C]176[/C][C]5[/C][C]3.76247[/C][C]1.23753[/C][/ROW]
[ROW][C]177[/C][C]8[/C][C]3.99089[/C][C]4.00911[/C][/ROW]
[ROW][C]178[/C][C]10[/C][C]9.47821[/C][C]0.521793[/C][/ROW]
[ROW][C]179[/C][C]7[/C][C]6.16095[/C][C]0.83905[/C][/ROW]
[ROW][C]180[/C][C]7.5[/C][C]6.66095[/C][C]0.83905[/C][/ROW]
[ROW][C]181[/C][C]7.5[/C][C]4.15333[/C][C]3.34667[/C][/ROW]
[ROW][C]182[/C][C]9.5[/C][C]9.75486[/C][C]-0.254855[/C][/ROW]
[ROW][C]183[/C][C]6[/C][C]1.86907[/C][C]4.13093[/C][/ROW]
[ROW][C]184[/C][C]10[/C][C]9.11272[/C][C]0.887278[/C][/ROW]
[ROW][C]185[/C][C]7[/C][C]10.133[/C][C]-3.13303[/C][/ROW]
[ROW][C]186[/C][C]3[/C][C]3.41729[/C][C]-0.417293[/C][/ROW]
[ROW][C]187[/C][C]6[/C][C]4.72693[/C][C]1.27307[/C][/ROW]
[ROW][C]188[/C][C]7[/C][C]3.33607[/C][C]3.66393[/C][/ROW]
[ROW][C]189[/C][C]10[/C][C]8.86907[/C][C]1.13093[/C][/ROW]
[ROW][C]190[/C][C]7[/C][C]9.57211[/C][C]-2.57211[/C][/ROW]
[ROW][C]191[/C][C]3.5[/C][C]1.9376[/C][C]1.5624[/C][/ROW]
[ROW][C]192[/C][C]8[/C][C]4.4376[/C][C]3.5624[/C][/ROW]
[ROW][C]193[/C][C]10[/C][C]10.9376[/C][C]-0.937598[/C][/ROW]
[ROW][C]194[/C][C]5.5[/C][C]5.89699[/C][C]-0.396988[/C][/ROW]
[ROW][C]195[/C][C]6[/C][C]5.22693[/C][C]0.773068[/C][/ROW]
[ROW][C]196[/C][C]6.5[/C][C]6.55943[/C][C]-0.0594262[/C][/ROW]
[ROW][C]197[/C][C]6.5[/C][C]3.6051[/C][C]2.8949[/C][/ROW]
[ROW][C]198[/C][C]8.5[/C][C]10.7142[/C][C]-2.21425[/C][/ROW]
[ROW][C]199[/C][C]4[/C][C]0.308151[/C][C]3.69185[/C][/ROW]
[ROW][C]200[/C][C]9.5[/C][C]7.36907[/C][C]2.13093[/C][/ROW]
[ROW][C]201[/C][C]8[/C][C]6.42491[/C][C]1.57509[/C][/ROW]
[ROW][C]202[/C][C]8.5[/C][C]9.31577[/C][C]-0.815769[/C][/ROW]
[ROW][C]203[/C][C]5.5[/C][C]3.61779[/C][C]1.88221[/C][/ROW]
[ROW][C]204[/C][C]7[/C][C]3.95028[/C][C]3.04972[/C][/ROW]
[ROW][C]205[/C][C]9[/C][C]7.29546[/C][C]1.70454[/C][/ROW]
[ROW][C]206[/C][C]8[/C][C]4.31577[/C][C]3.68423[/C][/ROW]
[ROW][C]207[/C][C]10[/C][C]8.07211[/C][C]1.92789[/C][/ROW]
[ROW][C]208[/C][C]8[/C][C]8.07211[/C][C]-0.0721125[/C][/ROW]
[ROW][C]209[/C][C]6[/C][C]3.95028[/C][C]2.04972[/C][/ROW]
[ROW][C]210[/C][C]8[/C][C]9.09242[/C][C]-1.09242[/C][/ROW]
[ROW][C]211[/C][C]5[/C][C]2.35638[/C][C]2.64362[/C][/ROW]
[ROW][C]212[/C][C]9[/C][C]10.4097[/C][C]-1.40967[/C][/ROW]
[ROW][C]213[/C][C]4.5[/C][C]2.33607[/C][C]2.16393[/C][/ROW]
[ROW][C]214[/C][C]8.5[/C][C]7.32846[/C][C]1.17154[/C][/ROW]
[ROW][C]215[/C][C]7[/C][C]2.45535[/C][C]4.54465[/C][/ROW]
[ROW][C]216[/C][C]9.5[/C][C]6.92998[/C][C]2.57002[/C][/ROW]
[ROW][C]217[/C][C]8.5[/C][C]7.51882[/C][C]0.981183[/C][/ROW]
[ROW][C]218[/C][C]7.5[/C][C]6.39699[/C][C]1.10301[/C][/ROW]
[ROW][C]219[/C][C]7.5[/C][C]8.32846[/C][C]-0.828456[/C][/ROW]
[ROW][C]220[/C][C]5[/C][C]3.97059[/C][C]1.02941[/C][/ROW]
[ROW][C]221[/C][C]7[/C][C]5.33607[/C][C]1.66393[/C][/ROW]
[ROW][C]222[/C][C]8[/C][C]8.14571[/C][C]-0.145713[/C][/ROW]
[ROW][C]223[/C][C]5.5[/C][C]2.90967[/C][C]2.59033[/C][/ROW]
[ROW][C]224[/C][C]8.5[/C][C]6.62541[/C][C]1.87459[/C][/ROW]
[ROW][C]225[/C][C]7.5[/C][C]4.57973[/C][C]2.92027[/C][/ROW]
[ROW][C]226[/C][C]9.5[/C][C]8.9579[/C][C]0.542097[/C][/ROW]
[ROW][C]227[/C][C]7[/C][C]5.62034[/C][C]1.37966[/C][/ROW]
[ROW][C]228[/C][C]8[/C][C]5.61272[/C][C]2.38728[/C][/ROW]
[ROW][C]229[/C][C]8.5[/C][C]10.8894[/C][C]-2.38937[/C][/ROW]
[ROW][C]230[/C][C]3.5[/C][C]3.80308[/C][C]-0.303083[/C][/ROW]
[ROW][C]231[/C][C]6.5[/C][C]5.78785[/C][C]0.712154[/C][/ROW]
[ROW][C]232[/C][C]6.5[/C][C]2.25486[/C][C]4.24514[/C][/ROW]
[ROW][C]233[/C][C]10.5[/C][C]8.13303[/C][C]2.36697[/C][/ROW]
[ROW][C]234[/C][C]8.5[/C][C]6.36907[/C][C]2.13093[/C][/ROW]
[ROW][C]235[/C][C]8[/C][C]4.51882[/C][C]3.48118[/C][/ROW]
[ROW][C]236[/C][C]10[/C][C]6.31577[/C][C]3.68423[/C][/ROW]
[ROW][C]237[/C][C]10[/C][C]6.5315[/C][C]3.4685[/C][/ROW]
[ROW][C]238[/C][C]9.5[/C][C]5.59749[/C][C]3.90251[/C][/ROW]
[ROW][C]239[/C][C]9[/C][C]5.27516[/C][C]3.72484[/C][/ROW]
[ROW][C]240[/C][C]10[/C][C]8.99851[/C][C]1.00149[/C][/ROW]
[ROW][C]241[/C][C]7.5[/C][C]9.09242[/C][C]-1.59242[/C][/ROW]
[ROW][C]242[/C][C]4.5[/C][C]5.09749[/C][C]-0.597485[/C][/ROW]
[ROW][C]243[/C][C]4.5[/C][C]10.4173[/C][C]-5.91729[/C][/ROW]
[ROW][C]244[/C][C]0.5[/C][C]0.193941[/C][C]0.306059[/C][/ROW]
[ROW][C]245[/C][C]6.5[/C][C]7.90967[/C][C]-1.40967[/C][/ROW]
[ROW][C]246[/C][C]4.5[/C][C]4.07718[/C][C]0.42282[/C][/ROW]
[ROW][C]247[/C][C]5.5[/C][C]6.20663[/C][C]-0.706627[/C][/ROW]
[ROW][C]248[/C][C]5[/C][C]5.49851[/C][C]-0.498512[/C][/ROW]
[ROW][C]249[/C][C]6[/C][C]7.90967[/C][C]-1.90967[/C][/ROW]
[ROW][C]250[/C][C]4[/C][C]2.07211[/C][C]1.92789[/C][/ROW]
[ROW][C]251[/C][C]8[/C][C]4.18125[/C][C]3.81875[/C][/ROW]
[ROW][C]252[/C][C]10.5[/C][C]8.51882[/C][C]1.98118[/C][/ROW]
[ROW][C]253[/C][C]8.5[/C][C]8.55943[/C][C]-0.0594262[/C][/ROW]
[ROW][C]254[/C][C]6.5[/C][C]4.87668[/C][C]1.62332[/C][/ROW]
[ROW][C]255[/C][C]8[/C][C]5.38937[/C][C]2.61063[/C][/ROW]
[ROW][C]256[/C][C]8.5[/C][C]8.99089[/C][C]-0.490894[/C][/ROW]
[ROW][C]257[/C][C]5.5[/C][C]4.77516[/C][C]0.72484[/C][/ROW]
[ROW][C]258[/C][C]7[/C][C]8.11272[/C][C]-1.11272[/C][/ROW]
[ROW][C]259[/C][C]5[/C][C]7.83607[/C][C]-2.83607[/C][/ROW]
[ROW][C]260[/C][C]3.5[/C][C]4.5112[/C][C]-1.0112[/C][/ROW]
[ROW][C]261[/C][C]5[/C][C]2.37668[/C][C]2.62332[/C][/ROW]
[ROW][C]262[/C][C]9[/C][C]6.38937[/C][C]2.61063[/C][/ROW]
[ROW][C]263[/C][C]8.5[/C][C]10.2422[/C][C]-1.74217[/C][/ROW]
[ROW][C]264[/C][C]5[/C][C]1.99851[/C][C]3.00149[/C][/ROW]
[ROW][C]265[/C][C]9.5[/C][C]12.9579[/C][C]-3.4579[/C][/ROW]
[ROW][C]266[/C][C]3[/C][C]7.59242[/C][C]-4.59242[/C][/ROW]
[ROW][C]267[/C][C]1.5[/C][C]1.40967[/C][C]0.0903254[/C][/ROW]
[ROW][C]268[/C][C]6[/C][C]11.3488[/C][C]-5.34876[/C][/ROW]
[ROW][C]269[/C][C]0.5[/C][C]0.478207[/C][C]0.0217927[/C][/ROW]
[ROW][C]270[/C][C]6.5[/C][C]5.53912[/C][C]0.960879[/C][/ROW]
[ROW][C]271[/C][C]7.5[/C][C]8.48328[/C][C]-0.983275[/C][/ROW]
[ROW][C]272[/C][C]4.5[/C][C]2.57211[/C][C]1.92789[/C][/ROW]
[ROW][C]273[/C][C]8[/C][C]4.95028[/C][C]3.04972[/C][/ROW]
[ROW][C]274[/C][C]9[/C][C]8.10004[/C][C]0.899964[/C][/ROW]
[ROW][C]275[/C][C]7.5[/C][C]4.86907[/C][C]2.63093[/C][/ROW]
[ROW][C]276[/C][C]8.5[/C][C]7.24724[/C][C]1.25276[/C][/ROW]
[ROW][C]277[/C][C]7[/C][C]4.26247[/C][C]2.73753[/C][/ROW]
[ROW][C]278[/C][C]9.5[/C][C]9.29546[/C][C]0.204535[/C][/ROW]
[ROW][C]279[/C][C]6.5[/C][C]2.64571[/C][C]3.85429[/C][/ROW]
[ROW][C]280[/C][C]9.5[/C][C]10.1609[/C][C]-0.66095[/C][/ROW]
[ROW][C]281[/C][C]6[/C][C]3.05688[/C][C]2.94312[/C][/ROW]
[ROW][C]282[/C][C]8[/C][C]5.05943[/C][C]2.94057[/C][/ROW]
[ROW][C]283[/C][C]9.5[/C][C]7.67364[/C][C]1.82636[/C][/ROW]
[ROW][C]284[/C][C]8[/C][C]6.35638[/C][C]1.64362[/C][/ROW]
[ROW][C]285[/C][C]8[/C][C]5.13303[/C][C]2.86697[/C][/ROW]
[ROW][C]286[/C][C]9[/C][C]10.2955[/C][C]-1.29546[/C][/ROW]
[ROW][C]287[/C][C]5[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266558&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266558&T=4

As an alternative you can also use a QR Code:  
QR Code


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

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
17.56.092421.40758
22.56.55943-4.05943
366.33607-0.336074
46.56.295460.204535
515.70663-4.70663
616.39699-5.39699
75.55.66602-0.166018
88.56.072112.42789
96.56.498510.001488
104.55.95028-1.45028
1126.09242-4.09242
1256.17364-1.17364
130.55.84876-5.34876
1456.07211-1.07211
1556.13303-1.13303
162.55.76754-3.26754
1755.80815-0.808151
185.56.13303-0.633027
193.56.25486-2.75486
2036.13303-3.13303
2145.84876-1.84876
220.55.88937-5.38937
236.56.254860.245145
244.56.15333-1.65333
257.56.051811.44819
265.56.39699-0.896988
2745.36145-1.36145
287.56.762470.737526
2976.072110.927887
3046.39699-2.39699
315.55.92998-0.429979
322.55.95028-3.45028
335.56.13303-0.633027
340.56.53912-6.03912
353.56.39699-2.89699
362.55.99089-3.49089
374.56.27516-1.77516
384.56.33607-1.83607
394.55.44267-0.942666
4065.686320.313677
412.56.27516-3.77516
4256.55943-1.55943
4306.31577-6.31577
4456.4579-1.4579
456.56.417290.0827069
4656.4376-1.4376
4766.13303-0.133027
484.56.31577-1.81577
495.55.82846-0.328456
5016.15333-5.15333
517.55.828461.67154
5266.57973-0.579731
5356.4579-1.4579
5415.82846-4.82846
5556.41729-1.41729
566.55.970590.529411
5775.869071.13093
584.56.74217-2.24217
5906.31577-6.31577
608.55.60512.8949
613.55.36145-1.86145
627.56.660950.83905
633.56.64065-3.14065
6466.27516-0.27516
651.56.4579-4.9579
6696.03152.9685
673.56.13303-2.63303
683.56.27516-2.77516
6946.25486-2.25486
706.56.173640.326364
717.56.01121.4888
7266.0315-0.031503
7356.4376-1.4376
745.56.0112-0.511198
753.56.19394-2.69394
767.56.43761.0624
7716.55943-5.55943
786.55.544190.955811
79NANA0.793373
806.56.336070.163926
816.55.51120.988802
8278.98328-1.98328
833.58.4579-4.9579
841.53.91729-2.41729
8541.942672.05733
867.59.39699-1.89699
874.510.6533-6.15333
8802.00358-2.00358
893.54.11272-0.612722
905.56.49089-0.990894
9156.85638-1.85638
924.58.35638-3.85638
932.50.9705891.52941
947.56.734550.76545
95713.2752-6.27516
9601.55181-1.55181
974.57.85638-3.35638
9837.5112-4.5112
991.54.0315-2.5315
1003.57.4579-3.9579
1012.53.4376-0.937598
1025.53.978211.52179
103813.3767-5.37668
10412.35638-1.35638
10556.61272-1.61272
1064.56.73962-2.23962
10735.80815-2.80815
10830.9299792.07002
109811.0036-3.00358
1102.50.8817511.61825
111712.7878-5.78785
11205.09242-5.09242
11313.34876-2.34876
1143.54.0112-0.511198
1155.56.15333-0.653331
1165.511.4376-5.9376
1170.5-0.4405740.940574
1187.54.815772.68423
11996.242172.75783
1209.57.904611.59539
1218.57.328461.17154
12275.660951.33905
12384.600043.39996
124109.315770.684231
12574.369072.63093
1268.55.633032.86697
12795.876683.12332
1289.511.6939-2.19394
12943.848760.15124
13064.051811.94819
13188.28785-0.287846
1325.52.295463.20454
1339.58.640650.859355
1347.57.242170.257831
13575.267541.73246
1367.55.551811.94819
13787.173640.826364
13876.112720.887278
13977.15333-0.153331
14062.600043.39996
1411013.4909-3.49089
1422.5-0.224842.72484
14397.153331.84667
14488.33607-0.336074
14563.775162.22484
1468.57.577180.92282
14763.45792.5421
14896.544192.45581
14986.43761.5624
15085.051812.94819
15199.24724-0.247237
1525.56.00358-0.50358
15353.767541.23246
15476.861450.138553
1555.53.181252.31875
156912.8082-3.80815
1572-0.1639262.16393
1588.55.917292.58271
15996.51122.4888
1608.56.039122.46088
16197.673641.32636
1627.54.343693.15631
163107.43762.5624
16498.100040.899964
1657.57.490890.00910643
16662.201563.79844
16710.58.315772.18423
1688.56.470592.02941
16984.45793.5421
170106.181253.81875
17110.510.47820.0217927
1726.53.640652.85935
1739.57.620341.87966
1748.57.133031.36697
1757.58.91729-1.41729
17653.762471.23753
17783.990894.00911
178109.478210.521793
17976.160950.83905
1807.56.660950.83905
1817.54.153333.34667
1829.59.75486-0.254855
18361.869074.13093
184109.112720.887278
185710.133-3.13303
18633.41729-0.417293
18764.726931.27307
18873.336073.66393
189108.869071.13093
19079.57211-2.57211
1913.51.93761.5624
19284.43763.5624
1931010.9376-0.937598
1945.55.89699-0.396988
19565.226930.773068
1966.56.55943-0.0594262
1976.53.60512.8949
1988.510.7142-2.21425
19940.3081513.69185
2009.57.369072.13093
20186.424911.57509
2028.59.31577-0.815769
2035.53.617791.88221
20473.950283.04972
20597.295461.70454
20684.315773.68423
207108.072111.92789
20888.07211-0.0721125
20963.950282.04972
21089.09242-1.09242
21152.356382.64362
212910.4097-1.40967
2134.52.336072.16393
2148.57.328461.17154
21572.455354.54465
2169.56.929982.57002
2178.57.518820.981183
2187.56.396991.10301
2197.58.32846-0.828456
22053.970591.02941
22175.336071.66393
22288.14571-0.145713
2235.52.909672.59033
2248.56.625411.87459
2257.54.579732.92027
2269.58.95790.542097
22775.620341.37966
22885.612722.38728
2298.510.8894-2.38937
2303.53.80308-0.303083
2316.55.787850.712154
2326.52.254864.24514
23310.58.133032.36697
2348.56.369072.13093
23584.518823.48118
236106.315773.68423
237106.53153.4685
2389.55.597493.90251
23995.275163.72484
240108.998511.00149
2417.59.09242-1.59242
2424.55.09749-0.597485
2434.510.4173-5.91729
2440.50.1939410.306059
2456.57.90967-1.40967
2464.54.077180.42282
2475.56.20663-0.706627
24855.49851-0.498512
24967.90967-1.90967
25042.072111.92789
25184.181253.81875
25210.58.518821.98118
2538.58.55943-0.0594262
2546.54.876681.62332
25585.389372.61063
2568.58.99089-0.490894
2575.54.775160.72484
25878.11272-1.11272
25957.83607-2.83607
2603.54.5112-1.0112
26152.376682.62332
26296.389372.61063
2638.510.2422-1.74217
26451.998513.00149
2659.512.9579-3.4579
26637.59242-4.59242
2671.51.409670.0903254
268611.3488-5.34876
2690.50.4782070.0217927
2706.55.539120.960879
2717.58.48328-0.983275
2724.52.572111.92789
27384.950283.04972
27498.100040.899964
2757.54.869072.63093
2768.57.247241.25276
27774.262472.73753
2789.59.295460.204535
2796.52.645713.85429
2809.510.1609-0.66095
28163.056882.94312
28285.059432.94057
2839.57.673641.82636
28486.356381.64362
28585.133032.86697
286910.2955-1.29546
2875NANA






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
50.7809920.4380160.219008
60.8436870.3126270.156313
70.7762920.4474160.223708
80.8438830.3122340.156117
90.7968390.4063210.203161
100.7189280.5621430.281072
110.7283210.5433590.271679
120.6472950.7054090.352705
130.7336380.5327250.266362
140.6650770.6698470.334923
150.5911470.8177060.408853
160.538550.92290.46145
170.4766790.9533590.523321
180.413580.8271610.58642
190.3628760.7257520.637124
200.3238170.6476350.676183
210.2647690.5295370.735231
220.3369510.6739020.663049
230.313650.6272990.68635
240.2594990.5189970.740501
250.3013370.6026740.698663
260.2506030.5012060.749397
270.2130390.4260790.786961
280.1893560.3787110.810644
290.1913670.3827340.808633
300.1659590.3319180.834041
310.1407810.2815620.859219
320.1320760.2641530.867924
330.1074330.2148660.892567
340.2236340.4472680.776366
350.2014030.4028060.798597
360.1915650.383130.808435
370.1595450.319090.840455
380.1317460.2634920.868254
390.1099710.2199420.890029
400.102430.2048590.89757
410.1030040.2060070.896996
420.08343340.1668670.916567
430.1657970.3315940.834203
440.139910.279820.86009
450.1305110.2610230.869489
460.1086810.2173620.891319
470.096670.193340.90333
480.0796450.159290.920355
490.06803910.1360780.931961
500.09832870.1966570.901671
510.1156470.2312940.884353
520.101060.2021190.89894
530.08422620.1684520.915774
540.1120580.2241170.887942
550.09426130.1885230.905739
560.09050440.1810090.909496
570.09428150.1885630.905719
580.0807890.1615780.919211
590.1585940.3171870.841406
600.2118280.4236560.788172
610.190740.381480.80926
620.1982080.3964160.801792
630.1883410.3766830.811659
640.1702510.3405020.829749
650.2122420.4244850.787758
660.2839360.5678720.716064
670.2676790.5353590.732321
680.2536410.5072810.746359
690.2328910.4657820.767109
700.2200440.4400880.779956
710.229190.4583810.77081
720.2086260.4172520.791374
730.1863420.3726830.813658
740.1648630.3297250.835137
750.1556680.3113350.844332
760.1606560.3213120.839344
770.2288390.4576780.771161
780.2135770.4271540.786423
790.1980950.396190.801905
800.1857830.3715650.814217
810.1793040.3586090.820696
820.1677420.3354850.832258
830.2149970.4299930.785003
840.2019660.4039320.798034
850.202870.4057410.79713
860.1859690.3719380.814031
870.3136870.6273750.686313
880.3007230.6014450.699277
890.2754610.5509210.724539
900.2502120.5004240.749788
910.2325380.4650760.767462
920.2545340.5090670.745466
930.258210.516420.74179
940.25240.5048010.7476
950.4066310.8132630.593369
960.3833270.7666530.616673
970.3976840.7953690.602316
980.4723640.9447280.527636
990.468950.93790.53105
1000.5091910.9816170.490809
1010.4897480.9794960.510252
1020.5164480.9671050.483552
1030.6367820.7264370.363218
1040.619470.761060.38053
1050.6023620.7952770.397638
1060.604910.7901790.39509
1070.6176940.7646120.382306
1080.6370040.7259920.362996
1090.6618660.6762670.338134
1100.6514580.6970840.348542
1110.8053840.3892320.194616
1120.8838430.2323150.116157
1130.8869990.2260010.113001
1140.8760680.2478650.123932
1150.8656610.2686790.134339
1160.9459510.1080980.0540491
1170.9477330.1045340.0522672
1180.9607760.07844710.0392235
1190.9732080.05358480.0267924
1200.9760360.04792890.0239644
1210.9743120.0513760.025688
1220.9747870.05042690.0252134
1230.9839750.03204930.0160246
1240.9822540.03549260.0177463
1250.9849470.03010680.0150534
1260.9880960.02380840.0119042
1270.991340.01732010.00866003
1280.9918320.01633540.0081677
1290.9903230.01935450.00967723
1300.99040.01920040.0096002
1310.9886710.02265840.0113292
1320.9916560.01668710.00834354
1330.9906370.01872560.00936281
1340.9891930.02161310.0108065
1350.988570.02286070.0114303
1360.9883670.0232660.011633
1370.9866170.02676630.0133832
1380.9846470.03070520.0153526
1390.982080.03584060.0179203
1400.9866890.02662150.0133107
1410.9912470.01750610.00875307
1420.9922250.01555080.00777541
1430.9917710.01645830.00822914
1440.990350.01930020.00965011
1450.9903680.0192650.00963248
1460.9885430.02291360.0114568
1470.9891990.02160280.0108014
1480.9893440.02131120.0106556
1490.9882190.02356220.0117811
1500.9895440.02091210.010456
1510.9875470.02490630.0124532
1520.9854340.02913280.0145664
1530.9831040.03379170.0168959
1540.9797830.0404340.020217
1550.9798890.04022180.0201109
1560.9884160.02316860.0115843
1570.9879430.02411440.0120572
1580.9882990.02340190.0117009
1590.9882590.02348240.0117412
1600.988280.02343910.0117195
1610.9863610.02727790.0136389
1620.988170.02366080.0118304
1630.9882120.02357650.0117883
1640.9858250.02834930.0141747
1650.9830880.03382360.0169118
1660.9872230.02555480.0127774
1670.9862940.02741280.0137064
1680.9849620.03007640.0150382
1690.9876750.02464940.0123247
1700.990750.01849960.00924979
1710.9886040.02279150.0113957
1720.9890630.02187330.0109367
1730.987620.02476050.0123803
1740.9853160.0293680.014684
1750.9842760.03144810.0157241
1760.9811470.03770580.0188529
1770.9859390.02812220.0140611
1780.9826480.03470430.0173522
1790.9787850.042430.021215
1800.9741980.05160440.0258022
1810.9769860.04602780.0230139
1820.9726080.0547830.0273915
1830.9796790.04064190.0203209
1840.9753710.04925890.0246295
1850.982190.03561980.0178099
1860.9788030.04239430.0211972
1870.9748250.05035080.0251754
1880.9789910.04201740.0210087
1890.9747420.05051530.0252577
1900.979140.04172010.0208601
1910.9753920.04921590.024608
1920.9790040.04199130.0209956
1930.9761610.04767770.0238388
1940.9717140.05657120.0282856
1950.9659590.06808120.0340406
1960.9590970.0818060.040903
1970.9588350.08232970.0411648
1980.9628110.07437870.0371893
1990.9679030.0641930.0320965
2000.9640340.07193270.0359663
2010.9578350.08433090.0421655
2020.9525330.09493470.0474673
2030.945910.1081790.0540897
2040.9466240.1067530.0533765
2050.9383920.1232160.0616079
2060.9464170.1071650.0535825
2070.9391510.1216990.0608493
2080.9282870.1434250.0717125
2090.9198250.1603510.0801753
2100.9132170.1735660.0867829
2110.909560.180880.0904402
2120.9064880.1870250.0935125
2130.8971980.2056030.102802
2140.8800340.2399320.119966
2150.9074530.1850940.0925469
2160.9022160.1955680.0977839
2170.8846140.2307720.115386
2180.8651880.2696240.134812
2190.8511480.2977040.148852
2200.8276170.3447660.172383
2210.8062180.3875630.193782
2220.7808780.4382450.219122
2230.7705190.4589610.229481
2240.747250.50550.25275
2250.7454120.5091760.254588
2260.7110310.5779380.288969
2270.6789570.6420850.321043
2280.6620010.6759980.337999
2290.6807330.6385340.319267
2300.6458710.7082580.354129
2310.6057770.7884450.394223
2320.6550270.6899460.344973
2330.6362440.7275120.363756
2340.611020.7779590.38898
2350.6321210.7357590.367879
2360.6625850.674830.337415
2370.6823920.6352170.317608
2380.7177860.5644280.282214
2390.752120.4957610.24788
2400.7167670.5664650.283233
2410.6996470.6007060.300353
2420.6644860.6710270.335514
2430.8666970.2666050.133303
2440.8382910.3234190.161709
2450.826560.346880.17344
2460.7925320.4149360.207468
2470.7658180.4683650.234182
2480.7320660.5358670.267934
2490.7370360.5259280.262964
2500.7048550.5902910.295145
2510.7471470.5057060.252853
2520.7228290.5543420.277171
2530.6759380.6481240.324062
2540.6378110.7243790.362189
2550.61840.76320.3816
2560.5731940.8536130.426806
2570.517080.9658390.48292
2580.4833810.9667630.516619
2590.5259440.9481110.474056
2600.4954020.9908040.504598
2610.475510.9510190.52449
2620.446060.8921190.55394
2630.4255990.8511980.574401
2640.4233940.8467890.576606
2650.5215630.9568730.478437
2660.7771680.4456630.222832
2670.7300880.5398240.269912
2680.9894770.02104580.0105229
2690.9852050.02959010.0147951
2700.9750240.04995150.0249757
2710.9920820.01583550.00791776
2720.9849940.03001220.0150061
2730.9771990.04560150.0228008
2740.9588970.08220560.0411028
2750.9321820.1356370.0678183
2760.8978910.2042190.102109
2770.8994610.2010780.100539
2780.8520610.2958780.147939
2790.8030740.3938520.196926
2800.7551820.4896360.244818
2810.6121430.7757130.387857
2820.5964260.8071480.403574

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
5 & 0.780992 & 0.438016 & 0.219008 \tabularnewline
6 & 0.843687 & 0.312627 & 0.156313 \tabularnewline
7 & 0.776292 & 0.447416 & 0.223708 \tabularnewline
8 & 0.843883 & 0.312234 & 0.156117 \tabularnewline
9 & 0.796839 & 0.406321 & 0.203161 \tabularnewline
10 & 0.718928 & 0.562143 & 0.281072 \tabularnewline
11 & 0.728321 & 0.543359 & 0.271679 \tabularnewline
12 & 0.647295 & 0.705409 & 0.352705 \tabularnewline
13 & 0.733638 & 0.532725 & 0.266362 \tabularnewline
14 & 0.665077 & 0.669847 & 0.334923 \tabularnewline
15 & 0.591147 & 0.817706 & 0.408853 \tabularnewline
16 & 0.53855 & 0.9229 & 0.46145 \tabularnewline
17 & 0.476679 & 0.953359 & 0.523321 \tabularnewline
18 & 0.41358 & 0.827161 & 0.58642 \tabularnewline
19 & 0.362876 & 0.725752 & 0.637124 \tabularnewline
20 & 0.323817 & 0.647635 & 0.676183 \tabularnewline
21 & 0.264769 & 0.529537 & 0.735231 \tabularnewline
22 & 0.336951 & 0.673902 & 0.663049 \tabularnewline
23 & 0.31365 & 0.627299 & 0.68635 \tabularnewline
24 & 0.259499 & 0.518997 & 0.740501 \tabularnewline
25 & 0.301337 & 0.602674 & 0.698663 \tabularnewline
26 & 0.250603 & 0.501206 & 0.749397 \tabularnewline
27 & 0.213039 & 0.426079 & 0.786961 \tabularnewline
28 & 0.189356 & 0.378711 & 0.810644 \tabularnewline
29 & 0.191367 & 0.382734 & 0.808633 \tabularnewline
30 & 0.165959 & 0.331918 & 0.834041 \tabularnewline
31 & 0.140781 & 0.281562 & 0.859219 \tabularnewline
32 & 0.132076 & 0.264153 & 0.867924 \tabularnewline
33 & 0.107433 & 0.214866 & 0.892567 \tabularnewline
34 & 0.223634 & 0.447268 & 0.776366 \tabularnewline
35 & 0.201403 & 0.402806 & 0.798597 \tabularnewline
36 & 0.191565 & 0.38313 & 0.808435 \tabularnewline
37 & 0.159545 & 0.31909 & 0.840455 \tabularnewline
38 & 0.131746 & 0.263492 & 0.868254 \tabularnewline
39 & 0.109971 & 0.219942 & 0.890029 \tabularnewline
40 & 0.10243 & 0.204859 & 0.89757 \tabularnewline
41 & 0.103004 & 0.206007 & 0.896996 \tabularnewline
42 & 0.0834334 & 0.166867 & 0.916567 \tabularnewline
43 & 0.165797 & 0.331594 & 0.834203 \tabularnewline
44 & 0.13991 & 0.27982 & 0.86009 \tabularnewline
45 & 0.130511 & 0.261023 & 0.869489 \tabularnewline
46 & 0.108681 & 0.217362 & 0.891319 \tabularnewline
47 & 0.09667 & 0.19334 & 0.90333 \tabularnewline
48 & 0.079645 & 0.15929 & 0.920355 \tabularnewline
49 & 0.0680391 & 0.136078 & 0.931961 \tabularnewline
50 & 0.0983287 & 0.196657 & 0.901671 \tabularnewline
51 & 0.115647 & 0.231294 & 0.884353 \tabularnewline
52 & 0.10106 & 0.202119 & 0.89894 \tabularnewline
53 & 0.0842262 & 0.168452 & 0.915774 \tabularnewline
54 & 0.112058 & 0.224117 & 0.887942 \tabularnewline
55 & 0.0942613 & 0.188523 & 0.905739 \tabularnewline
56 & 0.0905044 & 0.181009 & 0.909496 \tabularnewline
57 & 0.0942815 & 0.188563 & 0.905719 \tabularnewline
58 & 0.080789 & 0.161578 & 0.919211 \tabularnewline
59 & 0.158594 & 0.317187 & 0.841406 \tabularnewline
60 & 0.211828 & 0.423656 & 0.788172 \tabularnewline
61 & 0.19074 & 0.38148 & 0.80926 \tabularnewline
62 & 0.198208 & 0.396416 & 0.801792 \tabularnewline
63 & 0.188341 & 0.376683 & 0.811659 \tabularnewline
64 & 0.170251 & 0.340502 & 0.829749 \tabularnewline
65 & 0.212242 & 0.424485 & 0.787758 \tabularnewline
66 & 0.283936 & 0.567872 & 0.716064 \tabularnewline
67 & 0.267679 & 0.535359 & 0.732321 \tabularnewline
68 & 0.253641 & 0.507281 & 0.746359 \tabularnewline
69 & 0.232891 & 0.465782 & 0.767109 \tabularnewline
70 & 0.220044 & 0.440088 & 0.779956 \tabularnewline
71 & 0.22919 & 0.458381 & 0.77081 \tabularnewline
72 & 0.208626 & 0.417252 & 0.791374 \tabularnewline
73 & 0.186342 & 0.372683 & 0.813658 \tabularnewline
74 & 0.164863 & 0.329725 & 0.835137 \tabularnewline
75 & 0.155668 & 0.311335 & 0.844332 \tabularnewline
76 & 0.160656 & 0.321312 & 0.839344 \tabularnewline
77 & 0.228839 & 0.457678 & 0.771161 \tabularnewline
78 & 0.213577 & 0.427154 & 0.786423 \tabularnewline
79 & 0.198095 & 0.39619 & 0.801905 \tabularnewline
80 & 0.185783 & 0.371565 & 0.814217 \tabularnewline
81 & 0.179304 & 0.358609 & 0.820696 \tabularnewline
82 & 0.167742 & 0.335485 & 0.832258 \tabularnewline
83 & 0.214997 & 0.429993 & 0.785003 \tabularnewline
84 & 0.201966 & 0.403932 & 0.798034 \tabularnewline
85 & 0.20287 & 0.405741 & 0.79713 \tabularnewline
86 & 0.185969 & 0.371938 & 0.814031 \tabularnewline
87 & 0.313687 & 0.627375 & 0.686313 \tabularnewline
88 & 0.300723 & 0.601445 & 0.699277 \tabularnewline
89 & 0.275461 & 0.550921 & 0.724539 \tabularnewline
90 & 0.250212 & 0.500424 & 0.749788 \tabularnewline
91 & 0.232538 & 0.465076 & 0.767462 \tabularnewline
92 & 0.254534 & 0.509067 & 0.745466 \tabularnewline
93 & 0.25821 & 0.51642 & 0.74179 \tabularnewline
94 & 0.2524 & 0.504801 & 0.7476 \tabularnewline
95 & 0.406631 & 0.813263 & 0.593369 \tabularnewline
96 & 0.383327 & 0.766653 & 0.616673 \tabularnewline
97 & 0.397684 & 0.795369 & 0.602316 \tabularnewline
98 & 0.472364 & 0.944728 & 0.527636 \tabularnewline
99 & 0.46895 & 0.9379 & 0.53105 \tabularnewline
100 & 0.509191 & 0.981617 & 0.490809 \tabularnewline
101 & 0.489748 & 0.979496 & 0.510252 \tabularnewline
102 & 0.516448 & 0.967105 & 0.483552 \tabularnewline
103 & 0.636782 & 0.726437 & 0.363218 \tabularnewline
104 & 0.61947 & 0.76106 & 0.38053 \tabularnewline
105 & 0.602362 & 0.795277 & 0.397638 \tabularnewline
106 & 0.60491 & 0.790179 & 0.39509 \tabularnewline
107 & 0.617694 & 0.764612 & 0.382306 \tabularnewline
108 & 0.637004 & 0.725992 & 0.362996 \tabularnewline
109 & 0.661866 & 0.676267 & 0.338134 \tabularnewline
110 & 0.651458 & 0.697084 & 0.348542 \tabularnewline
111 & 0.805384 & 0.389232 & 0.194616 \tabularnewline
112 & 0.883843 & 0.232315 & 0.116157 \tabularnewline
113 & 0.886999 & 0.226001 & 0.113001 \tabularnewline
114 & 0.876068 & 0.247865 & 0.123932 \tabularnewline
115 & 0.865661 & 0.268679 & 0.134339 \tabularnewline
116 & 0.945951 & 0.108098 & 0.0540491 \tabularnewline
117 & 0.947733 & 0.104534 & 0.0522672 \tabularnewline
118 & 0.960776 & 0.0784471 & 0.0392235 \tabularnewline
119 & 0.973208 & 0.0535848 & 0.0267924 \tabularnewline
120 & 0.976036 & 0.0479289 & 0.0239644 \tabularnewline
121 & 0.974312 & 0.051376 & 0.025688 \tabularnewline
122 & 0.974787 & 0.0504269 & 0.0252134 \tabularnewline
123 & 0.983975 & 0.0320493 & 0.0160246 \tabularnewline
124 & 0.982254 & 0.0354926 & 0.0177463 \tabularnewline
125 & 0.984947 & 0.0301068 & 0.0150534 \tabularnewline
126 & 0.988096 & 0.0238084 & 0.0119042 \tabularnewline
127 & 0.99134 & 0.0173201 & 0.00866003 \tabularnewline
128 & 0.991832 & 0.0163354 & 0.0081677 \tabularnewline
129 & 0.990323 & 0.0193545 & 0.00967723 \tabularnewline
130 & 0.9904 & 0.0192004 & 0.0096002 \tabularnewline
131 & 0.988671 & 0.0226584 & 0.0113292 \tabularnewline
132 & 0.991656 & 0.0166871 & 0.00834354 \tabularnewline
133 & 0.990637 & 0.0187256 & 0.00936281 \tabularnewline
134 & 0.989193 & 0.0216131 & 0.0108065 \tabularnewline
135 & 0.98857 & 0.0228607 & 0.0114303 \tabularnewline
136 & 0.988367 & 0.023266 & 0.011633 \tabularnewline
137 & 0.986617 & 0.0267663 & 0.0133832 \tabularnewline
138 & 0.984647 & 0.0307052 & 0.0153526 \tabularnewline
139 & 0.98208 & 0.0358406 & 0.0179203 \tabularnewline
140 & 0.986689 & 0.0266215 & 0.0133107 \tabularnewline
141 & 0.991247 & 0.0175061 & 0.00875307 \tabularnewline
142 & 0.992225 & 0.0155508 & 0.00777541 \tabularnewline
143 & 0.991771 & 0.0164583 & 0.00822914 \tabularnewline
144 & 0.99035 & 0.0193002 & 0.00965011 \tabularnewline
145 & 0.990368 & 0.019265 & 0.00963248 \tabularnewline
146 & 0.988543 & 0.0229136 & 0.0114568 \tabularnewline
147 & 0.989199 & 0.0216028 & 0.0108014 \tabularnewline
148 & 0.989344 & 0.0213112 & 0.0106556 \tabularnewline
149 & 0.988219 & 0.0235622 & 0.0117811 \tabularnewline
150 & 0.989544 & 0.0209121 & 0.010456 \tabularnewline
151 & 0.987547 & 0.0249063 & 0.0124532 \tabularnewline
152 & 0.985434 & 0.0291328 & 0.0145664 \tabularnewline
153 & 0.983104 & 0.0337917 & 0.0168959 \tabularnewline
154 & 0.979783 & 0.040434 & 0.020217 \tabularnewline
155 & 0.979889 & 0.0402218 & 0.0201109 \tabularnewline
156 & 0.988416 & 0.0231686 & 0.0115843 \tabularnewline
157 & 0.987943 & 0.0241144 & 0.0120572 \tabularnewline
158 & 0.988299 & 0.0234019 & 0.0117009 \tabularnewline
159 & 0.988259 & 0.0234824 & 0.0117412 \tabularnewline
160 & 0.98828 & 0.0234391 & 0.0117195 \tabularnewline
161 & 0.986361 & 0.0272779 & 0.0136389 \tabularnewline
162 & 0.98817 & 0.0236608 & 0.0118304 \tabularnewline
163 & 0.988212 & 0.0235765 & 0.0117883 \tabularnewline
164 & 0.985825 & 0.0283493 & 0.0141747 \tabularnewline
165 & 0.983088 & 0.0338236 & 0.0169118 \tabularnewline
166 & 0.987223 & 0.0255548 & 0.0127774 \tabularnewline
167 & 0.986294 & 0.0274128 & 0.0137064 \tabularnewline
168 & 0.984962 & 0.0300764 & 0.0150382 \tabularnewline
169 & 0.987675 & 0.0246494 & 0.0123247 \tabularnewline
170 & 0.99075 & 0.0184996 & 0.00924979 \tabularnewline
171 & 0.988604 & 0.0227915 & 0.0113957 \tabularnewline
172 & 0.989063 & 0.0218733 & 0.0109367 \tabularnewline
173 & 0.98762 & 0.0247605 & 0.0123803 \tabularnewline
174 & 0.985316 & 0.029368 & 0.014684 \tabularnewline
175 & 0.984276 & 0.0314481 & 0.0157241 \tabularnewline
176 & 0.981147 & 0.0377058 & 0.0188529 \tabularnewline
177 & 0.985939 & 0.0281222 & 0.0140611 \tabularnewline
178 & 0.982648 & 0.0347043 & 0.0173522 \tabularnewline
179 & 0.978785 & 0.04243 & 0.021215 \tabularnewline
180 & 0.974198 & 0.0516044 & 0.0258022 \tabularnewline
181 & 0.976986 & 0.0460278 & 0.0230139 \tabularnewline
182 & 0.972608 & 0.054783 & 0.0273915 \tabularnewline
183 & 0.979679 & 0.0406419 & 0.0203209 \tabularnewline
184 & 0.975371 & 0.0492589 & 0.0246295 \tabularnewline
185 & 0.98219 & 0.0356198 & 0.0178099 \tabularnewline
186 & 0.978803 & 0.0423943 & 0.0211972 \tabularnewline
187 & 0.974825 & 0.0503508 & 0.0251754 \tabularnewline
188 & 0.978991 & 0.0420174 & 0.0210087 \tabularnewline
189 & 0.974742 & 0.0505153 & 0.0252577 \tabularnewline
190 & 0.97914 & 0.0417201 & 0.0208601 \tabularnewline
191 & 0.975392 & 0.0492159 & 0.024608 \tabularnewline
192 & 0.979004 & 0.0419913 & 0.0209956 \tabularnewline
193 & 0.976161 & 0.0476777 & 0.0238388 \tabularnewline
194 & 0.971714 & 0.0565712 & 0.0282856 \tabularnewline
195 & 0.965959 & 0.0680812 & 0.0340406 \tabularnewline
196 & 0.959097 & 0.081806 & 0.040903 \tabularnewline
197 & 0.958835 & 0.0823297 & 0.0411648 \tabularnewline
198 & 0.962811 & 0.0743787 & 0.0371893 \tabularnewline
199 & 0.967903 & 0.064193 & 0.0320965 \tabularnewline
200 & 0.964034 & 0.0719327 & 0.0359663 \tabularnewline
201 & 0.957835 & 0.0843309 & 0.0421655 \tabularnewline
202 & 0.952533 & 0.0949347 & 0.0474673 \tabularnewline
203 & 0.94591 & 0.108179 & 0.0540897 \tabularnewline
204 & 0.946624 & 0.106753 & 0.0533765 \tabularnewline
205 & 0.938392 & 0.123216 & 0.0616079 \tabularnewline
206 & 0.946417 & 0.107165 & 0.0535825 \tabularnewline
207 & 0.939151 & 0.121699 & 0.0608493 \tabularnewline
208 & 0.928287 & 0.143425 & 0.0717125 \tabularnewline
209 & 0.919825 & 0.160351 & 0.0801753 \tabularnewline
210 & 0.913217 & 0.173566 & 0.0867829 \tabularnewline
211 & 0.90956 & 0.18088 & 0.0904402 \tabularnewline
212 & 0.906488 & 0.187025 & 0.0935125 \tabularnewline
213 & 0.897198 & 0.205603 & 0.102802 \tabularnewline
214 & 0.880034 & 0.239932 & 0.119966 \tabularnewline
215 & 0.907453 & 0.185094 & 0.0925469 \tabularnewline
216 & 0.902216 & 0.195568 & 0.0977839 \tabularnewline
217 & 0.884614 & 0.230772 & 0.115386 \tabularnewline
218 & 0.865188 & 0.269624 & 0.134812 \tabularnewline
219 & 0.851148 & 0.297704 & 0.148852 \tabularnewline
220 & 0.827617 & 0.344766 & 0.172383 \tabularnewline
221 & 0.806218 & 0.387563 & 0.193782 \tabularnewline
222 & 0.780878 & 0.438245 & 0.219122 \tabularnewline
223 & 0.770519 & 0.458961 & 0.229481 \tabularnewline
224 & 0.74725 & 0.5055 & 0.25275 \tabularnewline
225 & 0.745412 & 0.509176 & 0.254588 \tabularnewline
226 & 0.711031 & 0.577938 & 0.288969 \tabularnewline
227 & 0.678957 & 0.642085 & 0.321043 \tabularnewline
228 & 0.662001 & 0.675998 & 0.337999 \tabularnewline
229 & 0.680733 & 0.638534 & 0.319267 \tabularnewline
230 & 0.645871 & 0.708258 & 0.354129 \tabularnewline
231 & 0.605777 & 0.788445 & 0.394223 \tabularnewline
232 & 0.655027 & 0.689946 & 0.344973 \tabularnewline
233 & 0.636244 & 0.727512 & 0.363756 \tabularnewline
234 & 0.61102 & 0.777959 & 0.38898 \tabularnewline
235 & 0.632121 & 0.735759 & 0.367879 \tabularnewline
236 & 0.662585 & 0.67483 & 0.337415 \tabularnewline
237 & 0.682392 & 0.635217 & 0.317608 \tabularnewline
238 & 0.717786 & 0.564428 & 0.282214 \tabularnewline
239 & 0.75212 & 0.495761 & 0.24788 \tabularnewline
240 & 0.716767 & 0.566465 & 0.283233 \tabularnewline
241 & 0.699647 & 0.600706 & 0.300353 \tabularnewline
242 & 0.664486 & 0.671027 & 0.335514 \tabularnewline
243 & 0.866697 & 0.266605 & 0.133303 \tabularnewline
244 & 0.838291 & 0.323419 & 0.161709 \tabularnewline
245 & 0.82656 & 0.34688 & 0.17344 \tabularnewline
246 & 0.792532 & 0.414936 & 0.207468 \tabularnewline
247 & 0.765818 & 0.468365 & 0.234182 \tabularnewline
248 & 0.732066 & 0.535867 & 0.267934 \tabularnewline
249 & 0.737036 & 0.525928 & 0.262964 \tabularnewline
250 & 0.704855 & 0.590291 & 0.295145 \tabularnewline
251 & 0.747147 & 0.505706 & 0.252853 \tabularnewline
252 & 0.722829 & 0.554342 & 0.277171 \tabularnewline
253 & 0.675938 & 0.648124 & 0.324062 \tabularnewline
254 & 0.637811 & 0.724379 & 0.362189 \tabularnewline
255 & 0.6184 & 0.7632 & 0.3816 \tabularnewline
256 & 0.573194 & 0.853613 & 0.426806 \tabularnewline
257 & 0.51708 & 0.965839 & 0.48292 \tabularnewline
258 & 0.483381 & 0.966763 & 0.516619 \tabularnewline
259 & 0.525944 & 0.948111 & 0.474056 \tabularnewline
260 & 0.495402 & 0.990804 & 0.504598 \tabularnewline
261 & 0.47551 & 0.951019 & 0.52449 \tabularnewline
262 & 0.44606 & 0.892119 & 0.55394 \tabularnewline
263 & 0.425599 & 0.851198 & 0.574401 \tabularnewline
264 & 0.423394 & 0.846789 & 0.576606 \tabularnewline
265 & 0.521563 & 0.956873 & 0.478437 \tabularnewline
266 & 0.777168 & 0.445663 & 0.222832 \tabularnewline
267 & 0.730088 & 0.539824 & 0.269912 \tabularnewline
268 & 0.989477 & 0.0210458 & 0.0105229 \tabularnewline
269 & 0.985205 & 0.0295901 & 0.0147951 \tabularnewline
270 & 0.975024 & 0.0499515 & 0.0249757 \tabularnewline
271 & 0.992082 & 0.0158355 & 0.00791776 \tabularnewline
272 & 0.984994 & 0.0300122 & 0.0150061 \tabularnewline
273 & 0.977199 & 0.0456015 & 0.0228008 \tabularnewline
274 & 0.958897 & 0.0822056 & 0.0411028 \tabularnewline
275 & 0.932182 & 0.135637 & 0.0678183 \tabularnewline
276 & 0.897891 & 0.204219 & 0.102109 \tabularnewline
277 & 0.899461 & 0.201078 & 0.100539 \tabularnewline
278 & 0.852061 & 0.295878 & 0.147939 \tabularnewline
279 & 0.803074 & 0.393852 & 0.196926 \tabularnewline
280 & 0.755182 & 0.489636 & 0.244818 \tabularnewline
281 & 0.612143 & 0.775713 & 0.387857 \tabularnewline
282 & 0.596426 & 0.807148 & 0.403574 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266558&T=5

[TABLE]
[ROW][C]Goldfeld-Quandt test for Heteroskedasticity[/C][/ROW]
[ROW][C]p-values[/C][C]Alternative Hypothesis[/C][/ROW]
[ROW][C]breakpoint index[/C][C]greater[/C][C]2-sided[/C][C]less[/C][/ROW]
[ROW][C]5[/C][C]0.780992[/C][C]0.438016[/C][C]0.219008[/C][/ROW]
[ROW][C]6[/C][C]0.843687[/C][C]0.312627[/C][C]0.156313[/C][/ROW]
[ROW][C]7[/C][C]0.776292[/C][C]0.447416[/C][C]0.223708[/C][/ROW]
[ROW][C]8[/C][C]0.843883[/C][C]0.312234[/C][C]0.156117[/C][/ROW]
[ROW][C]9[/C][C]0.796839[/C][C]0.406321[/C][C]0.203161[/C][/ROW]
[ROW][C]10[/C][C]0.718928[/C][C]0.562143[/C][C]0.281072[/C][/ROW]
[ROW][C]11[/C][C]0.728321[/C][C]0.543359[/C][C]0.271679[/C][/ROW]
[ROW][C]12[/C][C]0.647295[/C][C]0.705409[/C][C]0.352705[/C][/ROW]
[ROW][C]13[/C][C]0.733638[/C][C]0.532725[/C][C]0.266362[/C][/ROW]
[ROW][C]14[/C][C]0.665077[/C][C]0.669847[/C][C]0.334923[/C][/ROW]
[ROW][C]15[/C][C]0.591147[/C][C]0.817706[/C][C]0.408853[/C][/ROW]
[ROW][C]16[/C][C]0.53855[/C][C]0.9229[/C][C]0.46145[/C][/ROW]
[ROW][C]17[/C][C]0.476679[/C][C]0.953359[/C][C]0.523321[/C][/ROW]
[ROW][C]18[/C][C]0.41358[/C][C]0.827161[/C][C]0.58642[/C][/ROW]
[ROW][C]19[/C][C]0.362876[/C][C]0.725752[/C][C]0.637124[/C][/ROW]
[ROW][C]20[/C][C]0.323817[/C][C]0.647635[/C][C]0.676183[/C][/ROW]
[ROW][C]21[/C][C]0.264769[/C][C]0.529537[/C][C]0.735231[/C][/ROW]
[ROW][C]22[/C][C]0.336951[/C][C]0.673902[/C][C]0.663049[/C][/ROW]
[ROW][C]23[/C][C]0.31365[/C][C]0.627299[/C][C]0.68635[/C][/ROW]
[ROW][C]24[/C][C]0.259499[/C][C]0.518997[/C][C]0.740501[/C][/ROW]
[ROW][C]25[/C][C]0.301337[/C][C]0.602674[/C][C]0.698663[/C][/ROW]
[ROW][C]26[/C][C]0.250603[/C][C]0.501206[/C][C]0.749397[/C][/ROW]
[ROW][C]27[/C][C]0.213039[/C][C]0.426079[/C][C]0.786961[/C][/ROW]
[ROW][C]28[/C][C]0.189356[/C][C]0.378711[/C][C]0.810644[/C][/ROW]
[ROW][C]29[/C][C]0.191367[/C][C]0.382734[/C][C]0.808633[/C][/ROW]
[ROW][C]30[/C][C]0.165959[/C][C]0.331918[/C][C]0.834041[/C][/ROW]
[ROW][C]31[/C][C]0.140781[/C][C]0.281562[/C][C]0.859219[/C][/ROW]
[ROW][C]32[/C][C]0.132076[/C][C]0.264153[/C][C]0.867924[/C][/ROW]
[ROW][C]33[/C][C]0.107433[/C][C]0.214866[/C][C]0.892567[/C][/ROW]
[ROW][C]34[/C][C]0.223634[/C][C]0.447268[/C][C]0.776366[/C][/ROW]
[ROW][C]35[/C][C]0.201403[/C][C]0.402806[/C][C]0.798597[/C][/ROW]
[ROW][C]36[/C][C]0.191565[/C][C]0.38313[/C][C]0.808435[/C][/ROW]
[ROW][C]37[/C][C]0.159545[/C][C]0.31909[/C][C]0.840455[/C][/ROW]
[ROW][C]38[/C][C]0.131746[/C][C]0.263492[/C][C]0.868254[/C][/ROW]
[ROW][C]39[/C][C]0.109971[/C][C]0.219942[/C][C]0.890029[/C][/ROW]
[ROW][C]40[/C][C]0.10243[/C][C]0.204859[/C][C]0.89757[/C][/ROW]
[ROW][C]41[/C][C]0.103004[/C][C]0.206007[/C][C]0.896996[/C][/ROW]
[ROW][C]42[/C][C]0.0834334[/C][C]0.166867[/C][C]0.916567[/C][/ROW]
[ROW][C]43[/C][C]0.165797[/C][C]0.331594[/C][C]0.834203[/C][/ROW]
[ROW][C]44[/C][C]0.13991[/C][C]0.27982[/C][C]0.86009[/C][/ROW]
[ROW][C]45[/C][C]0.130511[/C][C]0.261023[/C][C]0.869489[/C][/ROW]
[ROW][C]46[/C][C]0.108681[/C][C]0.217362[/C][C]0.891319[/C][/ROW]
[ROW][C]47[/C][C]0.09667[/C][C]0.19334[/C][C]0.90333[/C][/ROW]
[ROW][C]48[/C][C]0.079645[/C][C]0.15929[/C][C]0.920355[/C][/ROW]
[ROW][C]49[/C][C]0.0680391[/C][C]0.136078[/C][C]0.931961[/C][/ROW]
[ROW][C]50[/C][C]0.0983287[/C][C]0.196657[/C][C]0.901671[/C][/ROW]
[ROW][C]51[/C][C]0.115647[/C][C]0.231294[/C][C]0.884353[/C][/ROW]
[ROW][C]52[/C][C]0.10106[/C][C]0.202119[/C][C]0.89894[/C][/ROW]
[ROW][C]53[/C][C]0.0842262[/C][C]0.168452[/C][C]0.915774[/C][/ROW]
[ROW][C]54[/C][C]0.112058[/C][C]0.224117[/C][C]0.887942[/C][/ROW]
[ROW][C]55[/C][C]0.0942613[/C][C]0.188523[/C][C]0.905739[/C][/ROW]
[ROW][C]56[/C][C]0.0905044[/C][C]0.181009[/C][C]0.909496[/C][/ROW]
[ROW][C]57[/C][C]0.0942815[/C][C]0.188563[/C][C]0.905719[/C][/ROW]
[ROW][C]58[/C][C]0.080789[/C][C]0.161578[/C][C]0.919211[/C][/ROW]
[ROW][C]59[/C][C]0.158594[/C][C]0.317187[/C][C]0.841406[/C][/ROW]
[ROW][C]60[/C][C]0.211828[/C][C]0.423656[/C][C]0.788172[/C][/ROW]
[ROW][C]61[/C][C]0.19074[/C][C]0.38148[/C][C]0.80926[/C][/ROW]
[ROW][C]62[/C][C]0.198208[/C][C]0.396416[/C][C]0.801792[/C][/ROW]
[ROW][C]63[/C][C]0.188341[/C][C]0.376683[/C][C]0.811659[/C][/ROW]
[ROW][C]64[/C][C]0.170251[/C][C]0.340502[/C][C]0.829749[/C][/ROW]
[ROW][C]65[/C][C]0.212242[/C][C]0.424485[/C][C]0.787758[/C][/ROW]
[ROW][C]66[/C][C]0.283936[/C][C]0.567872[/C][C]0.716064[/C][/ROW]
[ROW][C]67[/C][C]0.267679[/C][C]0.535359[/C][C]0.732321[/C][/ROW]
[ROW][C]68[/C][C]0.253641[/C][C]0.507281[/C][C]0.746359[/C][/ROW]
[ROW][C]69[/C][C]0.232891[/C][C]0.465782[/C][C]0.767109[/C][/ROW]
[ROW][C]70[/C][C]0.220044[/C][C]0.440088[/C][C]0.779956[/C][/ROW]
[ROW][C]71[/C][C]0.22919[/C][C]0.458381[/C][C]0.77081[/C][/ROW]
[ROW][C]72[/C][C]0.208626[/C][C]0.417252[/C][C]0.791374[/C][/ROW]
[ROW][C]73[/C][C]0.186342[/C][C]0.372683[/C][C]0.813658[/C][/ROW]
[ROW][C]74[/C][C]0.164863[/C][C]0.329725[/C][C]0.835137[/C][/ROW]
[ROW][C]75[/C][C]0.155668[/C][C]0.311335[/C][C]0.844332[/C][/ROW]
[ROW][C]76[/C][C]0.160656[/C][C]0.321312[/C][C]0.839344[/C][/ROW]
[ROW][C]77[/C][C]0.228839[/C][C]0.457678[/C][C]0.771161[/C][/ROW]
[ROW][C]78[/C][C]0.213577[/C][C]0.427154[/C][C]0.786423[/C][/ROW]
[ROW][C]79[/C][C]0.198095[/C][C]0.39619[/C][C]0.801905[/C][/ROW]
[ROW][C]80[/C][C]0.185783[/C][C]0.371565[/C][C]0.814217[/C][/ROW]
[ROW][C]81[/C][C]0.179304[/C][C]0.358609[/C][C]0.820696[/C][/ROW]
[ROW][C]82[/C][C]0.167742[/C][C]0.335485[/C][C]0.832258[/C][/ROW]
[ROW][C]83[/C][C]0.214997[/C][C]0.429993[/C][C]0.785003[/C][/ROW]
[ROW][C]84[/C][C]0.201966[/C][C]0.403932[/C][C]0.798034[/C][/ROW]
[ROW][C]85[/C][C]0.20287[/C][C]0.405741[/C][C]0.79713[/C][/ROW]
[ROW][C]86[/C][C]0.185969[/C][C]0.371938[/C][C]0.814031[/C][/ROW]
[ROW][C]87[/C][C]0.313687[/C][C]0.627375[/C][C]0.686313[/C][/ROW]
[ROW][C]88[/C][C]0.300723[/C][C]0.601445[/C][C]0.699277[/C][/ROW]
[ROW][C]89[/C][C]0.275461[/C][C]0.550921[/C][C]0.724539[/C][/ROW]
[ROW][C]90[/C][C]0.250212[/C][C]0.500424[/C][C]0.749788[/C][/ROW]
[ROW][C]91[/C][C]0.232538[/C][C]0.465076[/C][C]0.767462[/C][/ROW]
[ROW][C]92[/C][C]0.254534[/C][C]0.509067[/C][C]0.745466[/C][/ROW]
[ROW][C]93[/C][C]0.25821[/C][C]0.51642[/C][C]0.74179[/C][/ROW]
[ROW][C]94[/C][C]0.2524[/C][C]0.504801[/C][C]0.7476[/C][/ROW]
[ROW][C]95[/C][C]0.406631[/C][C]0.813263[/C][C]0.593369[/C][/ROW]
[ROW][C]96[/C][C]0.383327[/C][C]0.766653[/C][C]0.616673[/C][/ROW]
[ROW][C]97[/C][C]0.397684[/C][C]0.795369[/C][C]0.602316[/C][/ROW]
[ROW][C]98[/C][C]0.472364[/C][C]0.944728[/C][C]0.527636[/C][/ROW]
[ROW][C]99[/C][C]0.46895[/C][C]0.9379[/C][C]0.53105[/C][/ROW]
[ROW][C]100[/C][C]0.509191[/C][C]0.981617[/C][C]0.490809[/C][/ROW]
[ROW][C]101[/C][C]0.489748[/C][C]0.979496[/C][C]0.510252[/C][/ROW]
[ROW][C]102[/C][C]0.516448[/C][C]0.967105[/C][C]0.483552[/C][/ROW]
[ROW][C]103[/C][C]0.636782[/C][C]0.726437[/C][C]0.363218[/C][/ROW]
[ROW][C]104[/C][C]0.61947[/C][C]0.76106[/C][C]0.38053[/C][/ROW]
[ROW][C]105[/C][C]0.602362[/C][C]0.795277[/C][C]0.397638[/C][/ROW]
[ROW][C]106[/C][C]0.60491[/C][C]0.790179[/C][C]0.39509[/C][/ROW]
[ROW][C]107[/C][C]0.617694[/C][C]0.764612[/C][C]0.382306[/C][/ROW]
[ROW][C]108[/C][C]0.637004[/C][C]0.725992[/C][C]0.362996[/C][/ROW]
[ROW][C]109[/C][C]0.661866[/C][C]0.676267[/C][C]0.338134[/C][/ROW]
[ROW][C]110[/C][C]0.651458[/C][C]0.697084[/C][C]0.348542[/C][/ROW]
[ROW][C]111[/C][C]0.805384[/C][C]0.389232[/C][C]0.194616[/C][/ROW]
[ROW][C]112[/C][C]0.883843[/C][C]0.232315[/C][C]0.116157[/C][/ROW]
[ROW][C]113[/C][C]0.886999[/C][C]0.226001[/C][C]0.113001[/C][/ROW]
[ROW][C]114[/C][C]0.876068[/C][C]0.247865[/C][C]0.123932[/C][/ROW]
[ROW][C]115[/C][C]0.865661[/C][C]0.268679[/C][C]0.134339[/C][/ROW]
[ROW][C]116[/C][C]0.945951[/C][C]0.108098[/C][C]0.0540491[/C][/ROW]
[ROW][C]117[/C][C]0.947733[/C][C]0.104534[/C][C]0.0522672[/C][/ROW]
[ROW][C]118[/C][C]0.960776[/C][C]0.0784471[/C][C]0.0392235[/C][/ROW]
[ROW][C]119[/C][C]0.973208[/C][C]0.0535848[/C][C]0.0267924[/C][/ROW]
[ROW][C]120[/C][C]0.976036[/C][C]0.0479289[/C][C]0.0239644[/C][/ROW]
[ROW][C]121[/C][C]0.974312[/C][C]0.051376[/C][C]0.025688[/C][/ROW]
[ROW][C]122[/C][C]0.974787[/C][C]0.0504269[/C][C]0.0252134[/C][/ROW]
[ROW][C]123[/C][C]0.983975[/C][C]0.0320493[/C][C]0.0160246[/C][/ROW]
[ROW][C]124[/C][C]0.982254[/C][C]0.0354926[/C][C]0.0177463[/C][/ROW]
[ROW][C]125[/C][C]0.984947[/C][C]0.0301068[/C][C]0.0150534[/C][/ROW]
[ROW][C]126[/C][C]0.988096[/C][C]0.0238084[/C][C]0.0119042[/C][/ROW]
[ROW][C]127[/C][C]0.99134[/C][C]0.0173201[/C][C]0.00866003[/C][/ROW]
[ROW][C]128[/C][C]0.991832[/C][C]0.0163354[/C][C]0.0081677[/C][/ROW]
[ROW][C]129[/C][C]0.990323[/C][C]0.0193545[/C][C]0.00967723[/C][/ROW]
[ROW][C]130[/C][C]0.9904[/C][C]0.0192004[/C][C]0.0096002[/C][/ROW]
[ROW][C]131[/C][C]0.988671[/C][C]0.0226584[/C][C]0.0113292[/C][/ROW]
[ROW][C]132[/C][C]0.991656[/C][C]0.0166871[/C][C]0.00834354[/C][/ROW]
[ROW][C]133[/C][C]0.990637[/C][C]0.0187256[/C][C]0.00936281[/C][/ROW]
[ROW][C]134[/C][C]0.989193[/C][C]0.0216131[/C][C]0.0108065[/C][/ROW]
[ROW][C]135[/C][C]0.98857[/C][C]0.0228607[/C][C]0.0114303[/C][/ROW]
[ROW][C]136[/C][C]0.988367[/C][C]0.023266[/C][C]0.011633[/C][/ROW]
[ROW][C]137[/C][C]0.986617[/C][C]0.0267663[/C][C]0.0133832[/C][/ROW]
[ROW][C]138[/C][C]0.984647[/C][C]0.0307052[/C][C]0.0153526[/C][/ROW]
[ROW][C]139[/C][C]0.98208[/C][C]0.0358406[/C][C]0.0179203[/C][/ROW]
[ROW][C]140[/C][C]0.986689[/C][C]0.0266215[/C][C]0.0133107[/C][/ROW]
[ROW][C]141[/C][C]0.991247[/C][C]0.0175061[/C][C]0.00875307[/C][/ROW]
[ROW][C]142[/C][C]0.992225[/C][C]0.0155508[/C][C]0.00777541[/C][/ROW]
[ROW][C]143[/C][C]0.991771[/C][C]0.0164583[/C][C]0.00822914[/C][/ROW]
[ROW][C]144[/C][C]0.99035[/C][C]0.0193002[/C][C]0.00965011[/C][/ROW]
[ROW][C]145[/C][C]0.990368[/C][C]0.019265[/C][C]0.00963248[/C][/ROW]
[ROW][C]146[/C][C]0.988543[/C][C]0.0229136[/C][C]0.0114568[/C][/ROW]
[ROW][C]147[/C][C]0.989199[/C][C]0.0216028[/C][C]0.0108014[/C][/ROW]
[ROW][C]148[/C][C]0.989344[/C][C]0.0213112[/C][C]0.0106556[/C][/ROW]
[ROW][C]149[/C][C]0.988219[/C][C]0.0235622[/C][C]0.0117811[/C][/ROW]
[ROW][C]150[/C][C]0.989544[/C][C]0.0209121[/C][C]0.010456[/C][/ROW]
[ROW][C]151[/C][C]0.987547[/C][C]0.0249063[/C][C]0.0124532[/C][/ROW]
[ROW][C]152[/C][C]0.985434[/C][C]0.0291328[/C][C]0.0145664[/C][/ROW]
[ROW][C]153[/C][C]0.983104[/C][C]0.0337917[/C][C]0.0168959[/C][/ROW]
[ROW][C]154[/C][C]0.979783[/C][C]0.040434[/C][C]0.020217[/C][/ROW]
[ROW][C]155[/C][C]0.979889[/C][C]0.0402218[/C][C]0.0201109[/C][/ROW]
[ROW][C]156[/C][C]0.988416[/C][C]0.0231686[/C][C]0.0115843[/C][/ROW]
[ROW][C]157[/C][C]0.987943[/C][C]0.0241144[/C][C]0.0120572[/C][/ROW]
[ROW][C]158[/C][C]0.988299[/C][C]0.0234019[/C][C]0.0117009[/C][/ROW]
[ROW][C]159[/C][C]0.988259[/C][C]0.0234824[/C][C]0.0117412[/C][/ROW]
[ROW][C]160[/C][C]0.98828[/C][C]0.0234391[/C][C]0.0117195[/C][/ROW]
[ROW][C]161[/C][C]0.986361[/C][C]0.0272779[/C][C]0.0136389[/C][/ROW]
[ROW][C]162[/C][C]0.98817[/C][C]0.0236608[/C][C]0.0118304[/C][/ROW]
[ROW][C]163[/C][C]0.988212[/C][C]0.0235765[/C][C]0.0117883[/C][/ROW]
[ROW][C]164[/C][C]0.985825[/C][C]0.0283493[/C][C]0.0141747[/C][/ROW]
[ROW][C]165[/C][C]0.983088[/C][C]0.0338236[/C][C]0.0169118[/C][/ROW]
[ROW][C]166[/C][C]0.987223[/C][C]0.0255548[/C][C]0.0127774[/C][/ROW]
[ROW][C]167[/C][C]0.986294[/C][C]0.0274128[/C][C]0.0137064[/C][/ROW]
[ROW][C]168[/C][C]0.984962[/C][C]0.0300764[/C][C]0.0150382[/C][/ROW]
[ROW][C]169[/C][C]0.987675[/C][C]0.0246494[/C][C]0.0123247[/C][/ROW]
[ROW][C]170[/C][C]0.99075[/C][C]0.0184996[/C][C]0.00924979[/C][/ROW]
[ROW][C]171[/C][C]0.988604[/C][C]0.0227915[/C][C]0.0113957[/C][/ROW]
[ROW][C]172[/C][C]0.989063[/C][C]0.0218733[/C][C]0.0109367[/C][/ROW]
[ROW][C]173[/C][C]0.98762[/C][C]0.0247605[/C][C]0.0123803[/C][/ROW]
[ROW][C]174[/C][C]0.985316[/C][C]0.029368[/C][C]0.014684[/C][/ROW]
[ROW][C]175[/C][C]0.984276[/C][C]0.0314481[/C][C]0.0157241[/C][/ROW]
[ROW][C]176[/C][C]0.981147[/C][C]0.0377058[/C][C]0.0188529[/C][/ROW]
[ROW][C]177[/C][C]0.985939[/C][C]0.0281222[/C][C]0.0140611[/C][/ROW]
[ROW][C]178[/C][C]0.982648[/C][C]0.0347043[/C][C]0.0173522[/C][/ROW]
[ROW][C]179[/C][C]0.978785[/C][C]0.04243[/C][C]0.021215[/C][/ROW]
[ROW][C]180[/C][C]0.974198[/C][C]0.0516044[/C][C]0.0258022[/C][/ROW]
[ROW][C]181[/C][C]0.976986[/C][C]0.0460278[/C][C]0.0230139[/C][/ROW]
[ROW][C]182[/C][C]0.972608[/C][C]0.054783[/C][C]0.0273915[/C][/ROW]
[ROW][C]183[/C][C]0.979679[/C][C]0.0406419[/C][C]0.0203209[/C][/ROW]
[ROW][C]184[/C][C]0.975371[/C][C]0.0492589[/C][C]0.0246295[/C][/ROW]
[ROW][C]185[/C][C]0.98219[/C][C]0.0356198[/C][C]0.0178099[/C][/ROW]
[ROW][C]186[/C][C]0.978803[/C][C]0.0423943[/C][C]0.0211972[/C][/ROW]
[ROW][C]187[/C][C]0.974825[/C][C]0.0503508[/C][C]0.0251754[/C][/ROW]
[ROW][C]188[/C][C]0.978991[/C][C]0.0420174[/C][C]0.0210087[/C][/ROW]
[ROW][C]189[/C][C]0.974742[/C][C]0.0505153[/C][C]0.0252577[/C][/ROW]
[ROW][C]190[/C][C]0.97914[/C][C]0.0417201[/C][C]0.0208601[/C][/ROW]
[ROW][C]191[/C][C]0.975392[/C][C]0.0492159[/C][C]0.024608[/C][/ROW]
[ROW][C]192[/C][C]0.979004[/C][C]0.0419913[/C][C]0.0209956[/C][/ROW]
[ROW][C]193[/C][C]0.976161[/C][C]0.0476777[/C][C]0.0238388[/C][/ROW]
[ROW][C]194[/C][C]0.971714[/C][C]0.0565712[/C][C]0.0282856[/C][/ROW]
[ROW][C]195[/C][C]0.965959[/C][C]0.0680812[/C][C]0.0340406[/C][/ROW]
[ROW][C]196[/C][C]0.959097[/C][C]0.081806[/C][C]0.040903[/C][/ROW]
[ROW][C]197[/C][C]0.958835[/C][C]0.0823297[/C][C]0.0411648[/C][/ROW]
[ROW][C]198[/C][C]0.962811[/C][C]0.0743787[/C][C]0.0371893[/C][/ROW]
[ROW][C]199[/C][C]0.967903[/C][C]0.064193[/C][C]0.0320965[/C][/ROW]
[ROW][C]200[/C][C]0.964034[/C][C]0.0719327[/C][C]0.0359663[/C][/ROW]
[ROW][C]201[/C][C]0.957835[/C][C]0.0843309[/C][C]0.0421655[/C][/ROW]
[ROW][C]202[/C][C]0.952533[/C][C]0.0949347[/C][C]0.0474673[/C][/ROW]
[ROW][C]203[/C][C]0.94591[/C][C]0.108179[/C][C]0.0540897[/C][/ROW]
[ROW][C]204[/C][C]0.946624[/C][C]0.106753[/C][C]0.0533765[/C][/ROW]
[ROW][C]205[/C][C]0.938392[/C][C]0.123216[/C][C]0.0616079[/C][/ROW]
[ROW][C]206[/C][C]0.946417[/C][C]0.107165[/C][C]0.0535825[/C][/ROW]
[ROW][C]207[/C][C]0.939151[/C][C]0.121699[/C][C]0.0608493[/C][/ROW]
[ROW][C]208[/C][C]0.928287[/C][C]0.143425[/C][C]0.0717125[/C][/ROW]
[ROW][C]209[/C][C]0.919825[/C][C]0.160351[/C][C]0.0801753[/C][/ROW]
[ROW][C]210[/C][C]0.913217[/C][C]0.173566[/C][C]0.0867829[/C][/ROW]
[ROW][C]211[/C][C]0.90956[/C][C]0.18088[/C][C]0.0904402[/C][/ROW]
[ROW][C]212[/C][C]0.906488[/C][C]0.187025[/C][C]0.0935125[/C][/ROW]
[ROW][C]213[/C][C]0.897198[/C][C]0.205603[/C][C]0.102802[/C][/ROW]
[ROW][C]214[/C][C]0.880034[/C][C]0.239932[/C][C]0.119966[/C][/ROW]
[ROW][C]215[/C][C]0.907453[/C][C]0.185094[/C][C]0.0925469[/C][/ROW]
[ROW][C]216[/C][C]0.902216[/C][C]0.195568[/C][C]0.0977839[/C][/ROW]
[ROW][C]217[/C][C]0.884614[/C][C]0.230772[/C][C]0.115386[/C][/ROW]
[ROW][C]218[/C][C]0.865188[/C][C]0.269624[/C][C]0.134812[/C][/ROW]
[ROW][C]219[/C][C]0.851148[/C][C]0.297704[/C][C]0.148852[/C][/ROW]
[ROW][C]220[/C][C]0.827617[/C][C]0.344766[/C][C]0.172383[/C][/ROW]
[ROW][C]221[/C][C]0.806218[/C][C]0.387563[/C][C]0.193782[/C][/ROW]
[ROW][C]222[/C][C]0.780878[/C][C]0.438245[/C][C]0.219122[/C][/ROW]
[ROW][C]223[/C][C]0.770519[/C][C]0.458961[/C][C]0.229481[/C][/ROW]
[ROW][C]224[/C][C]0.74725[/C][C]0.5055[/C][C]0.25275[/C][/ROW]
[ROW][C]225[/C][C]0.745412[/C][C]0.509176[/C][C]0.254588[/C][/ROW]
[ROW][C]226[/C][C]0.711031[/C][C]0.577938[/C][C]0.288969[/C][/ROW]
[ROW][C]227[/C][C]0.678957[/C][C]0.642085[/C][C]0.321043[/C][/ROW]
[ROW][C]228[/C][C]0.662001[/C][C]0.675998[/C][C]0.337999[/C][/ROW]
[ROW][C]229[/C][C]0.680733[/C][C]0.638534[/C][C]0.319267[/C][/ROW]
[ROW][C]230[/C][C]0.645871[/C][C]0.708258[/C][C]0.354129[/C][/ROW]
[ROW][C]231[/C][C]0.605777[/C][C]0.788445[/C][C]0.394223[/C][/ROW]
[ROW][C]232[/C][C]0.655027[/C][C]0.689946[/C][C]0.344973[/C][/ROW]
[ROW][C]233[/C][C]0.636244[/C][C]0.727512[/C][C]0.363756[/C][/ROW]
[ROW][C]234[/C][C]0.61102[/C][C]0.777959[/C][C]0.38898[/C][/ROW]
[ROW][C]235[/C][C]0.632121[/C][C]0.735759[/C][C]0.367879[/C][/ROW]
[ROW][C]236[/C][C]0.662585[/C][C]0.67483[/C][C]0.337415[/C][/ROW]
[ROW][C]237[/C][C]0.682392[/C][C]0.635217[/C][C]0.317608[/C][/ROW]
[ROW][C]238[/C][C]0.717786[/C][C]0.564428[/C][C]0.282214[/C][/ROW]
[ROW][C]239[/C][C]0.75212[/C][C]0.495761[/C][C]0.24788[/C][/ROW]
[ROW][C]240[/C][C]0.716767[/C][C]0.566465[/C][C]0.283233[/C][/ROW]
[ROW][C]241[/C][C]0.699647[/C][C]0.600706[/C][C]0.300353[/C][/ROW]
[ROW][C]242[/C][C]0.664486[/C][C]0.671027[/C][C]0.335514[/C][/ROW]
[ROW][C]243[/C][C]0.866697[/C][C]0.266605[/C][C]0.133303[/C][/ROW]
[ROW][C]244[/C][C]0.838291[/C][C]0.323419[/C][C]0.161709[/C][/ROW]
[ROW][C]245[/C][C]0.82656[/C][C]0.34688[/C][C]0.17344[/C][/ROW]
[ROW][C]246[/C][C]0.792532[/C][C]0.414936[/C][C]0.207468[/C][/ROW]
[ROW][C]247[/C][C]0.765818[/C][C]0.468365[/C][C]0.234182[/C][/ROW]
[ROW][C]248[/C][C]0.732066[/C][C]0.535867[/C][C]0.267934[/C][/ROW]
[ROW][C]249[/C][C]0.737036[/C][C]0.525928[/C][C]0.262964[/C][/ROW]
[ROW][C]250[/C][C]0.704855[/C][C]0.590291[/C][C]0.295145[/C][/ROW]
[ROW][C]251[/C][C]0.747147[/C][C]0.505706[/C][C]0.252853[/C][/ROW]
[ROW][C]252[/C][C]0.722829[/C][C]0.554342[/C][C]0.277171[/C][/ROW]
[ROW][C]253[/C][C]0.675938[/C][C]0.648124[/C][C]0.324062[/C][/ROW]
[ROW][C]254[/C][C]0.637811[/C][C]0.724379[/C][C]0.362189[/C][/ROW]
[ROW][C]255[/C][C]0.6184[/C][C]0.7632[/C][C]0.3816[/C][/ROW]
[ROW][C]256[/C][C]0.573194[/C][C]0.853613[/C][C]0.426806[/C][/ROW]
[ROW][C]257[/C][C]0.51708[/C][C]0.965839[/C][C]0.48292[/C][/ROW]
[ROW][C]258[/C][C]0.483381[/C][C]0.966763[/C][C]0.516619[/C][/ROW]
[ROW][C]259[/C][C]0.525944[/C][C]0.948111[/C][C]0.474056[/C][/ROW]
[ROW][C]260[/C][C]0.495402[/C][C]0.990804[/C][C]0.504598[/C][/ROW]
[ROW][C]261[/C][C]0.47551[/C][C]0.951019[/C][C]0.52449[/C][/ROW]
[ROW][C]262[/C][C]0.44606[/C][C]0.892119[/C][C]0.55394[/C][/ROW]
[ROW][C]263[/C][C]0.425599[/C][C]0.851198[/C][C]0.574401[/C][/ROW]
[ROW][C]264[/C][C]0.423394[/C][C]0.846789[/C][C]0.576606[/C][/ROW]
[ROW][C]265[/C][C]0.521563[/C][C]0.956873[/C][C]0.478437[/C][/ROW]
[ROW][C]266[/C][C]0.777168[/C][C]0.445663[/C][C]0.222832[/C][/ROW]
[ROW][C]267[/C][C]0.730088[/C][C]0.539824[/C][C]0.269912[/C][/ROW]
[ROW][C]268[/C][C]0.989477[/C][C]0.0210458[/C][C]0.0105229[/C][/ROW]
[ROW][C]269[/C][C]0.985205[/C][C]0.0295901[/C][C]0.0147951[/C][/ROW]
[ROW][C]270[/C][C]0.975024[/C][C]0.0499515[/C][C]0.0249757[/C][/ROW]
[ROW][C]271[/C][C]0.992082[/C][C]0.0158355[/C][C]0.00791776[/C][/ROW]
[ROW][C]272[/C][C]0.984994[/C][C]0.0300122[/C][C]0.0150061[/C][/ROW]
[ROW][C]273[/C][C]0.977199[/C][C]0.0456015[/C][C]0.0228008[/C][/ROW]
[ROW][C]274[/C][C]0.958897[/C][C]0.0822056[/C][C]0.0411028[/C][/ROW]
[ROW][C]275[/C][C]0.932182[/C][C]0.135637[/C][C]0.0678183[/C][/ROW]
[ROW][C]276[/C][C]0.897891[/C][C]0.204219[/C][C]0.102109[/C][/ROW]
[ROW][C]277[/C][C]0.899461[/C][C]0.201078[/C][C]0.100539[/C][/ROW]
[ROW][C]278[/C][C]0.852061[/C][C]0.295878[/C][C]0.147939[/C][/ROW]
[ROW][C]279[/C][C]0.803074[/C][C]0.393852[/C][C]0.196926[/C][/ROW]
[ROW][C]280[/C][C]0.755182[/C][C]0.489636[/C][C]0.244818[/C][/ROW]
[ROW][C]281[/C][C]0.612143[/C][C]0.775713[/C][C]0.387857[/C][/ROW]
[ROW][C]282[/C][C]0.596426[/C][C]0.807148[/C][C]0.403574[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266558&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266558&T=5

As an alternative you can also use a QR Code:  
QR Code


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

Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
50.7809920.4380160.219008
60.8436870.3126270.156313
70.7762920.4474160.223708
80.8438830.3122340.156117
90.7968390.4063210.203161
100.7189280.5621430.281072
110.7283210.5433590.271679
120.6472950.7054090.352705
130.7336380.5327250.266362
140.6650770.6698470.334923
150.5911470.8177060.408853
160.538550.92290.46145
170.4766790.9533590.523321
180.413580.8271610.58642
190.3628760.7257520.637124
200.3238170.6476350.676183
210.2647690.5295370.735231
220.3369510.6739020.663049
230.313650.6272990.68635
240.2594990.5189970.740501
250.3013370.6026740.698663
260.2506030.5012060.749397
270.2130390.4260790.786961
280.1893560.3787110.810644
290.1913670.3827340.808633
300.1659590.3319180.834041
310.1407810.2815620.859219
320.1320760.2641530.867924
330.1074330.2148660.892567
340.2236340.4472680.776366
350.2014030.4028060.798597
360.1915650.383130.808435
370.1595450.319090.840455
380.1317460.2634920.868254
390.1099710.2199420.890029
400.102430.2048590.89757
410.1030040.2060070.896996
420.08343340.1668670.916567
430.1657970.3315940.834203
440.139910.279820.86009
450.1305110.2610230.869489
460.1086810.2173620.891319
470.096670.193340.90333
480.0796450.159290.920355
490.06803910.1360780.931961
500.09832870.1966570.901671
510.1156470.2312940.884353
520.101060.2021190.89894
530.08422620.1684520.915774
540.1120580.2241170.887942
550.09426130.1885230.905739
560.09050440.1810090.909496
570.09428150.1885630.905719
580.0807890.1615780.919211
590.1585940.3171870.841406
600.2118280.4236560.788172
610.190740.381480.80926
620.1982080.3964160.801792
630.1883410.3766830.811659
640.1702510.3405020.829749
650.2122420.4244850.787758
660.2839360.5678720.716064
670.2676790.5353590.732321
680.2536410.5072810.746359
690.2328910.4657820.767109
700.2200440.4400880.779956
710.229190.4583810.77081
720.2086260.4172520.791374
730.1863420.3726830.813658
740.1648630.3297250.835137
750.1556680.3113350.844332
760.1606560.3213120.839344
770.2288390.4576780.771161
780.2135770.4271540.786423
790.1980950.396190.801905
800.1857830.3715650.814217
810.1793040.3586090.820696
820.1677420.3354850.832258
830.2149970.4299930.785003
840.2019660.4039320.798034
850.202870.4057410.79713
860.1859690.3719380.814031
870.3136870.6273750.686313
880.3007230.6014450.699277
890.2754610.5509210.724539
900.2502120.5004240.749788
910.2325380.4650760.767462
920.2545340.5090670.745466
930.258210.516420.74179
940.25240.5048010.7476
950.4066310.8132630.593369
960.3833270.7666530.616673
970.3976840.7953690.602316
980.4723640.9447280.527636
990.468950.93790.53105
1000.5091910.9816170.490809
1010.4897480.9794960.510252
1020.5164480.9671050.483552
1030.6367820.7264370.363218
1040.619470.761060.38053
1050.6023620.7952770.397638
1060.604910.7901790.39509
1070.6176940.7646120.382306
1080.6370040.7259920.362996
1090.6618660.6762670.338134
1100.6514580.6970840.348542
1110.8053840.3892320.194616
1120.8838430.2323150.116157
1130.8869990.2260010.113001
1140.8760680.2478650.123932
1150.8656610.2686790.134339
1160.9459510.1080980.0540491
1170.9477330.1045340.0522672
1180.9607760.07844710.0392235
1190.9732080.05358480.0267924
1200.9760360.04792890.0239644
1210.9743120.0513760.025688
1220.9747870.05042690.0252134
1230.9839750.03204930.0160246
1240.9822540.03549260.0177463
1250.9849470.03010680.0150534
1260.9880960.02380840.0119042
1270.991340.01732010.00866003
1280.9918320.01633540.0081677
1290.9903230.01935450.00967723
1300.99040.01920040.0096002
1310.9886710.02265840.0113292
1320.9916560.01668710.00834354
1330.9906370.01872560.00936281
1340.9891930.02161310.0108065
1350.988570.02286070.0114303
1360.9883670.0232660.011633
1370.9866170.02676630.0133832
1380.9846470.03070520.0153526
1390.982080.03584060.0179203
1400.9866890.02662150.0133107
1410.9912470.01750610.00875307
1420.9922250.01555080.00777541
1430.9917710.01645830.00822914
1440.990350.01930020.00965011
1450.9903680.0192650.00963248
1460.9885430.02291360.0114568
1470.9891990.02160280.0108014
1480.9893440.02131120.0106556
1490.9882190.02356220.0117811
1500.9895440.02091210.010456
1510.9875470.02490630.0124532
1520.9854340.02913280.0145664
1530.9831040.03379170.0168959
1540.9797830.0404340.020217
1550.9798890.04022180.0201109
1560.9884160.02316860.0115843
1570.9879430.02411440.0120572
1580.9882990.02340190.0117009
1590.9882590.02348240.0117412
1600.988280.02343910.0117195
1610.9863610.02727790.0136389
1620.988170.02366080.0118304
1630.9882120.02357650.0117883
1640.9858250.02834930.0141747
1650.9830880.03382360.0169118
1660.9872230.02555480.0127774
1670.9862940.02741280.0137064
1680.9849620.03007640.0150382
1690.9876750.02464940.0123247
1700.990750.01849960.00924979
1710.9886040.02279150.0113957
1720.9890630.02187330.0109367
1730.987620.02476050.0123803
1740.9853160.0293680.014684
1750.9842760.03144810.0157241
1760.9811470.03770580.0188529
1770.9859390.02812220.0140611
1780.9826480.03470430.0173522
1790.9787850.042430.021215
1800.9741980.05160440.0258022
1810.9769860.04602780.0230139
1820.9726080.0547830.0273915
1830.9796790.04064190.0203209
1840.9753710.04925890.0246295
1850.982190.03561980.0178099
1860.9788030.04239430.0211972
1870.9748250.05035080.0251754
1880.9789910.04201740.0210087
1890.9747420.05051530.0252577
1900.979140.04172010.0208601
1910.9753920.04921590.024608
1920.9790040.04199130.0209956
1930.9761610.04767770.0238388
1940.9717140.05657120.0282856
1950.9659590.06808120.0340406
1960.9590970.0818060.040903
1970.9588350.08232970.0411648
1980.9628110.07437870.0371893
1990.9679030.0641930.0320965
2000.9640340.07193270.0359663
2010.9578350.08433090.0421655
2020.9525330.09493470.0474673
2030.945910.1081790.0540897
2040.9466240.1067530.0533765
2050.9383920.1232160.0616079
2060.9464170.1071650.0535825
2070.9391510.1216990.0608493
2080.9282870.1434250.0717125
2090.9198250.1603510.0801753
2100.9132170.1735660.0867829
2110.909560.180880.0904402
2120.9064880.1870250.0935125
2130.8971980.2056030.102802
2140.8800340.2399320.119966
2150.9074530.1850940.0925469
2160.9022160.1955680.0977839
2170.8846140.2307720.115386
2180.8651880.2696240.134812
2190.8511480.2977040.148852
2200.8276170.3447660.172383
2210.8062180.3875630.193782
2220.7808780.4382450.219122
2230.7705190.4589610.229481
2240.747250.50550.25275
2250.7454120.5091760.254588
2260.7110310.5779380.288969
2270.6789570.6420850.321043
2280.6620010.6759980.337999
2290.6807330.6385340.319267
2300.6458710.7082580.354129
2310.6057770.7884450.394223
2320.6550270.6899460.344973
2330.6362440.7275120.363756
2340.611020.7779590.38898
2350.6321210.7357590.367879
2360.6625850.674830.337415
2370.6823920.6352170.317608
2380.7177860.5644280.282214
2390.752120.4957610.24788
2400.7167670.5664650.283233
2410.6996470.6007060.300353
2420.6644860.6710270.335514
2430.8666970.2666050.133303
2440.8382910.3234190.161709
2450.826560.346880.17344
2460.7925320.4149360.207468
2470.7658180.4683650.234182
2480.7320660.5358670.267934
2490.7370360.5259280.262964
2500.7048550.5902910.295145
2510.7471470.5057060.252853
2520.7228290.5543420.277171
2530.6759380.6481240.324062
2540.6378110.7243790.362189
2550.61840.76320.3816
2560.5731940.8536130.426806
2570.517080.9658390.48292
2580.4833810.9667630.516619
2590.5259440.9481110.474056
2600.4954020.9908040.504598
2610.475510.9510190.52449
2620.446060.8921190.55394
2630.4255990.8511980.574401
2640.4233940.8467890.576606
2650.5215630.9568730.478437
2660.7771680.4456630.222832
2670.7300880.5398240.269912
2680.9894770.02104580.0105229
2690.9852050.02959010.0147951
2700.9750240.04995150.0249757
2710.9920820.01583550.00791776
2720.9849940.03001220.0150061
2730.9771990.04560150.0228008
2740.9588970.08220560.0411028
2750.9321820.1356370.0678183
2760.8978910.2042190.102109
2770.8994610.2010780.100539
2780.8520610.2958780.147939
2790.8030740.3938520.196926
2800.7551820.4896360.244818
2810.6121430.7757130.387857
2820.5964260.8071480.403574






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level740.266187NOK
10% type I error level920.330935NOK

\begin{tabular}{lllllllll}
\hline
Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
Description & # significant tests & % significant tests & OK/NOK \tabularnewline
1% type I error level & 0 & 0 & OK \tabularnewline
5% type I error level & 74 & 0.266187 & NOK \tabularnewline
10% type I error level & 92 & 0.330935 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266558&T=6

[TABLE]
[ROW][C]Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity[/C][/ROW]
[ROW][C]Description[/C][C]# significant tests[/C][C]% significant tests[/C][C]OK/NOK[/C][/ROW]
[ROW][C]1% type I error level[/C][C]0[/C][C]0[/C][C]OK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]74[/C][C]0.266187[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]92[/C][C]0.330935[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266558&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266558&T=6

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

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level740.266187NOK
10% type I error level920.330935NOK


Figures (Output of Computation)

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Input Parameters & R Code

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