FreeStatistics.org

Free Statistics

of Irreproducible Research!

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 computationThu, 11 Dec 2014 17:33:06 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Dec/11/t141831921129iiu974wa95bzs.htm/, Retrieved Thu, 16 May 2024 16:35:34 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=266230, Retrieved Thu, 16 May 2024 16:35:34 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact73

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 17:33:06] [8fb8f54f5311a3bdb9fc3d530bb27adb] [Current]
Feedback Forum

Post a new message

Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
50 26 0 7.5
62 57 0 6
54 37 0 6.5
71 67 0 1
54 43 0 1
65 52 0 5.5
73 52 0 8.5
52 43 0 6.5
84 84 0 4.5
42 67 0 2
66 49 0 5
65 70 0 0.5
78 52 0 5
73 58 0 5
75 68 0 2.5
72 62 1 5
66 43 0 5.5
70 56 0 3.5
61 56 1 3
81 74 0 4
71 65 0 0.5
69 63 0 6.5
71 58 0 4.5
72 57 0 7.5
68 63 0 5.5
70 53 0 4
68 57 1 7.5
61 51 1 7
67 64 0 4
76 53 0 5.5
70 29 0 2.5
60 54 0 5.5
72 58 0 3.5
69 43 0 2.5
71 51 0 4.5
62 53 0 4.5
70 54 0 4.5
64 56 1 6
58 61 0 2.5
76 47 0 5
52 39 0 0
59 48 0 5
68 50 0 6.5
76 35 0 5
65 30 1 6
67 68 0 4.5
59 49 0 5.5
69 61 1 1
76 67 0 7.5
63 47 1 6
75 56 1 5
63 50 1 1
60 43 0 5
73 67 1 6.5
63 62 0 7
70 57 0 4.5
75 41 1 0
66 54 0 8.5
63 45 1 3.5
63 48 1 7.5
64 61 0 3.5
70 56 0 6
75 41 0 1.5
61 43 0 9
60 53 0 3.5
62 44 1 3.5
73 66 0 4
61 58 0 6.5
66 46 0 7.5
64 37 1 6
59 51 0 5
64 51 0 5.5
60 56 1 3.5
56 66 1 7.5
78 37 0 6.5
53 59 0 NA
67 42 0 6.5
59 38 1 6.5
66 66 0 7
68 34 1 3.5
71 53 0 1.5
66 49 1 4
73 55 1 7.5
72 49 1 4.5
71 59 1 0
59 40 1 3.5
64 58 1 5.5
66 60 1 5
78 63 1 4.5
68 56 1 2.5
73 54 1 7.5
62 52 1 7
65 34 1 0
68 69 1 4.5
65 32 1 3
60 48 1 1.5
71 67 1 3.5
65 58 1 2.5
68 57 1 5.5
64 42 1 8
74 64 1 1
69 58 1 5
76 66 1 4.5
68 26 1 3
72 61 1 3
67 52 1 8
63 51 1 2.5
59 55 1 7
73 50 1 0
66 60 1 1
62 56 1 3.5
69 63 1 5.5
66 61 1 5.5
51 52 0 0.5
56 16 0 7.5
67 46 0 9
69 56 0 9.5
57 52 1 8.5
56 55 1 7
55 50 0 8
63 59 0 10
67 60 0 7
65 52 0 8.5
47 44 0 9
76 67 0 9.5
64 52 0 4
68 55 0 6
64 37 0 8
65 54 0 5.5
71 72 1 9.5
63 51 0 7.5
60 48 0 7
68 60 0 7.5
72 50 0 8
70 63 0 7
61 33 0 7
61 67 0 6
62 46 0 10
71 54 0 2.5
71 59 0 9
51 61 0 8
56 33 1 6
70 47 0 8.5
73 69 0 6
76 52 0 9
68 55 0 8
48 41 0 9
52 73 0 5.5
60 52 0 7
59 50 0 5.5
57 51 0 9
79 60 0 2
60 56 0 8.5
60 56 0 9
59 29 0 8.5
62 66 1 9
59 66 1 7.5
61 73 0 10
71 55 0 9
57 64 1 7.5
66 40 1 6
63 46 1 10.5
69 58 1 8.5
58 43 0 8
59 61 0 10
48 51 1 10.5
66 50 1 6.5
73 52 1 9.5
67 54 1 8.5
61 66 1 7.5
68 61 1 5
75 80 1 8
62 51 1 10
69 56 1 7
58 56 0 7.5
60 56 0 7.5
74 53 1 9.5
55 47 0 6
62 25 0 10
63 47 1 7
69 46 0 3
58 50 1 6
58 39 1 7
68 51 0 10
72 58 1 7
62 35 1 3.5
62 58 1 8
65 60 1 10
69 62 1 5.5
66 63 1 6
72 53 1 6.5
62 46 1 6.5
75 67 1 8.5
58 59 1 4
66 64 1 9.5
55 38 1 8
47 50 1 8.5
72 48 0 5.5
62 48 1 7
64 47 1 9
64 66 1 8
19 47 0 10
50 63 1 8
68 58 0 6
70 44 1 8
79 51 0 5
69 43 1 9
71 55 0 4.5
48 38 1 8.5
73 45 1 9.5
74 50 1 8.5
66 54 1 7.5
71 57 0 7.5
74 60 0 5
78 55 1 7
75 56 0 8
53 49 0 5.5
60 37 1 8.5
70 59 0 9.5
69 46 1 7
65 51 1 8
78 58 0 8.5
78 64 1 3.5
59 53 0 6.5
72 48 0 6.5
70 51 0 10.5
63 47 1 8.5
63 59 0 8
71 62 1 10
74 62 0 10
67 51 0 9.5
66 64 0 9
62 52 0 10
80 67 1 7.5
73 50 0 4.5
67 54 0 4.5
61 58 0 0.5
73 56 1 6.5
74 63 0 4.5
32 31 0 5.5
69 65 1 5
69 71 0 6
84 50 1 4
64 57 1 8
58 47 1 10.5
59 47 1 6.5
78 57 1 8
57 43 0 8.5
60 41 0 5.5
68 63 0 7
68 63 0 5
73 56 0 3.5
69 51 0 5
67 50 1 9
60 22 1 8.5
65 41 0 5
66 59 1 9.5
74 56 1 3
81 66 0 1.5
72 53 1 6
55 42 1 0.5
49 52 1 6.5
74 54 1 7.5
53 44 1 4.5
64 62 1 8
65 53 1 9
57 50 1 7.5
51 36 1 8.5
80 76 1 7
67 66 1 9.5
70 62 1 6.5
74 59 1 9.5
75 47 1 6
70 55 1 8
69 58 1 9.5
65 60 1 8
55 44 0 8
71 57 1 9

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time8 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 8 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266230&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]8 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266230&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266230&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 time8 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net






Multiple Linear Regression - Estimated Regression Equation
Ex[t] = + 8.68543 -0.0464243AMS.E[t] + 0.00793871AMS.I[t] + 0.253807`S/B`[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
Ex[t] =  +  8.68543 -0.0464243AMS.E[t] +  0.00793871AMS.I[t] +  0.253807`S/B`[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266230&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]Ex[t] =  +  8.68543 -0.0464243AMS.E[t] +  0.00793871AMS.I[t] +  0.253807`S/B`[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266230&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266230&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] = + 8.68543 -0.0464243AMS.E[t] + 0.00793871AMS.I[t] + 0.253807`S/B`[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)8.685431.290966.7281.00825e-105.04125e-11
AMS.E-0.04642430.0198687-2.3370.02018570.0100929
AMS.I0.007938710.01572070.5050.6139770.306989
`S/B`0.2538070.3035040.83630.4037430.201872

\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) & 8.68543 & 1.29096 & 6.728 & 1.00825e-10 & 5.04125e-11 \tabularnewline
AMS.E & -0.0464243 & 0.0198687 & -2.337 & 0.0201857 & 0.0100929 \tabularnewline
AMS.I & 0.00793871 & 0.0157207 & 0.505 & 0.613977 & 0.306989 \tabularnewline
`S/B` & 0.253807 & 0.303504 & 0.8363 & 0.403743 & 0.201872 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266230&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]8.68543[/C][C]1.29096[/C][C]6.728[/C][C]1.00825e-10[/C][C]5.04125e-11[/C][/ROW]
[ROW][C]AMS.E[/C][C]-0.0464243[/C][C]0.0198687[/C][C]-2.337[/C][C]0.0201857[/C][C]0.0100929[/C][/ROW]
[ROW][C]AMS.I[/C][C]0.00793871[/C][C]0.0157207[/C][C]0.505[/C][C]0.613977[/C][C]0.306989[/C][/ROW]
[ROW][C]`S/B`[/C][C]0.253807[/C][C]0.303504[/C][C]0.8363[/C][C]0.403743[/C][C]0.201872[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266230&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266230&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)8.685431.290966.7281.00825e-105.04125e-11
AMS.E-0.04642430.0198687-2.3370.02018570.0100929
AMS.I0.007938710.01572070.5050.6139770.306989
`S/B`0.2538070.3035040.83630.4037430.201872






Multiple Linear Regression - Regression Statistics
Multiple R0.148161
R-squared0.0219515
Adjusted R-squared0.0112037
F-TEST (value)2.04242
F-TEST (DF numerator)3
F-TEST (DF denominator)273
p-value0.108226
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.52296
Sum Squared Residuals1737.74

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.148161 \tabularnewline
R-squared & 0.0219515 \tabularnewline
Adjusted R-squared & 0.0112037 \tabularnewline
F-TEST (value) & 2.04242 \tabularnewline
F-TEST (DF numerator) & 3 \tabularnewline
F-TEST (DF denominator) & 273 \tabularnewline
p-value & 0.108226 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 2.52296 \tabularnewline
Sum Squared Residuals & 1737.74 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266230&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.148161[/C][/ROW]
[ROW][C]R-squared[/C][C]0.0219515[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.0112037[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]2.04242[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]3[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]273[/C][/ROW]
[ROW][C]p-value[/C][C]0.108226[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]2.52296[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]1737.74[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266230&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266230&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 R0.148161
R-squared0.0219515
Adjusted R-squared0.0112037
F-TEST (value)2.04242
F-TEST (DF numerator)3
F-TEST (DF denominator)273
p-value0.108226
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.52296
Sum Squared Residuals1737.74






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
17.56.570620.929378
266.25963-0.25963
36.56.472250.0277498
415.9212-4.9212
516.51988-5.51988
65.56.08066-0.580664
78.55.709272.79073
86.56.61273-0.112731
94.55.45264-0.952641
1027.2675-5.2675
1156.01042-1.01042
120.56.22356-5.72356
1355.47715-0.477148
1455.7569-0.756902
152.55.74344-3.24344
1656.08889-1.08889
175.55.96279-0.462791
183.55.8803-2.3803
1936.55192-3.55192
2045.51253-1.51253
210.55.90532-5.40532
226.55.982290.517708
234.55.84975-1.34975
247.55.795391.70461
255.56.02872-0.528717
2645.85648-1.85648
277.56.234891.26511
2876.512230.487771
2946.08308-2.08308
305.55.57794-0.0779351
312.55.66595-3.16595
325.56.32866-0.828663
333.55.80333-2.30333
342.55.82352-3.32352
354.55.79418-1.29418
364.56.22788-1.72788
374.55.86442-1.36442
3866.41265-0.41265
392.56.47708-3.97708
4055.5303-0.530303
4106.58098-6.58098
4256.32745-1.32745
436.55.925510.574487
4455.43504-0.435038
4566.15982-0.159819
464.56.11483-1.61483
475.56.33539-0.835393
4816.22022-5.22022
497.55.689081.81092
5066.38763-0.387625
5155.90198-0.901982
5216.41144-5.41144
5356.24134-1.24134
546.56.082160.417843
5576.25290.747101
564.55.88824-1.38824
5705.7829-5.7829
588.56.050122.44988
593.56.37175-2.87175
607.56.395561.10444
613.56.19854-2.69854
6265.88030.119703
631.55.52909-4.02909
6496.194912.80509
653.56.32072-2.82072
663.56.41023-2.91023
6745.82041-1.82041
686.56.313990.186007
697.55.986611.51339
7066.26181-0.261814
7156.35127-1.35127
725.56.11915-0.619149
733.56.59835-3.09835
747.56.863430.636569
756.55.358071.14193
76NANA0.591572
776.56.50187-0.00187424
786.55.645380.854619
7979.5523-2.5523
803.57.81006-4.31006
811.53.76423-2.26423
8242.486891.51311
837.58.98568-1.48568
844.510.6115-6.1115
8503.01775-3.01775
863.54.42853-0.928527
875.56.85156-1.35156
8856.31828-1.31828
894.58.22695-3.72695
902.50.9789541.52105
917.56.973740.526257
92713.1916-6.19157
9301.83016-1.83016
944.57.6757-3.1757
9538.03484-5.03484
961.54.17501-2.67501
973.57.3821-3.8821
982.53.23489-0.734891
995.53.801511.69849
100813.0119-5.01192
10112.19641-1.19641
10256.43495-1.43495
1034.57.48879-2.98879
10436.08095-3.08095
10531.241621.75838
106811.9194-3.91938
1072.52.136830.363168
108712.9472-5.9472
10905.35156-5.35156
11014.0055-3.0055
1113.54.2361-0.736099
1125.56.35949-0.859495
1135.511.7306-6.2306
1140.5-0.7873111.28731
1157.54.440183.05982
11695.426723.57328
1179.57.705861.79414
1188.58.276110.223895
11975.529031.47097
12084.229083.77092
121109.051320.948675
12274.580662.41934
1238.56.352792.14721
12495.189083.81092
1259.511.6271-2.12709
12643.965210.0347931
12764.008011.99199
12888.59654-0.596541
1295.52.21473.2853
1309.58.165571.33443
1317.56.781030.71897
13275.50491.4951
1337.55.239822.26018
13486.935871.06413
13576.115530.884475
13677.38544-0.385441
13762.17233.8277
1381013.318-3.318
1392.5-0.6423113.14231
14097.802051.19795
14188.60145-0.601454
14263.308852.69115
1438.58.344230.155773
14462.573.43
14596.965212.03479
14685.782552.21745
147910.3509-1.35089
1485.54.812790.687215
14977.84333-0.843332
1505.52.944122.55588
151912.4942-3.49423
1522-0.155462.15546
1538.55.844542.65546
15496.676622.32338
1558.56.084892.41511
15698.224160.775842
1577.53.933073.56693
158106.825933.17407
15998.301130.698871
1607.57.69278-0.192782
16161.879694.12031
16210.58.196412.30359
1638.56.834191.66581
16484.430663.56934
165106.615743.38426
16610.510.27220.227831
1676.52.963083.53692
1689.57.25752.2425
1698.57.631310.86869
1707.58.76665-1.26665
17153.092511.90749
17284.46583.5342
173109.180530.819472
17475.937391.06261
1757.56.344541.15546
1767.53.924593.57541
1779.510.0052-0.505213
17862.005593.99441
179109.387630.612375
18079.84733-2.84733
18133.64356-0.643563
18265.556240.443763
18372.933454.06655
184109.057130.942867
18579.83879-2.83879
1863.52.021381.47862
18784.397983.60202
1881010.7282-0.72816
1895.55.87537-0.375372
19065.517440.482561
1916.56.426110.0738889
1926.53.989312.51069
1938.511.215-2.71501
19440.8833113.11669
1959.58.187571.31243
19686.654231.34577
1978.58.72394-0.223939
1985.54.941990.558012
19974.34122.6588
20097.492041.50796
20186.176491.82351
202109.118160.881839
20387.989020.010977
20464.038841.96116
20588.42278-0.422785
20652.077322.92268
207910.3259-1.32593
2084.53.012541.48746
2098.54.907513.59249
2109.56.900772.59923
2118.57.303921.19608
2127.55.841811.65819
2137.58.22635-0.726355
21453.754771.24523
21574.648182.35182
21689.11394-1.11394
2175.53.447512.05249
2188.54.904113.59589
2199.58.601140.898859
22075.326531.67347
22185.024782.97522
2228.510.8262-2.32622
2233.53.367150.132852
2246.55.723940.776061
2256.51.84064.6594
22610.58.387632.11237
2278.56.729081.77092
22884.135313.86469
229105.742234.25777
230106.479883.52012
2319.56.62952.8705
23295.219943.78006
233108.257191.74281
2347.58.69339-1.19339
2354.56.00369-1.50369
2364.510.314-5.81399
2370.5-0.005169060.505169
2386.57.75017-1.25017
2394.56.44595-1.94595
2405.56.75198-1.25198
24155.0458-0.045802
24267.43653-1.43653
24342.420591.57941
24484.119753.88025
24510.510.5733-0.0733226
2466.54.270652.22935
24785.880612.11939
2488.59.22546-0.725459
2495.54.528720.971283
25078.02872-1.02872
25157.24102-2.24102
2523.54.38703-0.887028
25352.225742.77426
25496.828432.17157
2558.59.49334-0.993338
25651.843623.15638
2579.512.4484-2.94841
25836.94902-3.94902
2591.51.51744-0.0174391
260612.2193-6.21933
2610.51.07726-0.577259
2626.54.932531.56747
2637.59.82805-2.32805
2644.52.960281.53972
26585.342412.65759
26698.189990.810013
2677.55.857391.64261
2688.57.328641.17136
26973.852763.14724
2709.59.181740.318264
2716.52.972223.52778
2729.59.330530.169466
27364.126171.87383
27484.696413.30359
2759.57.897981.60202
27686.48141.5186
27785.095622.90438
2789NANA

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 7.5 & 6.57062 & 0.929378 \tabularnewline
2 & 6 & 6.25963 & -0.25963 \tabularnewline
3 & 6.5 & 6.47225 & 0.0277498 \tabularnewline
4 & 1 & 5.9212 & -4.9212 \tabularnewline
5 & 1 & 6.51988 & -5.51988 \tabularnewline
6 & 5.5 & 6.08066 & -0.580664 \tabularnewline
7 & 8.5 & 5.70927 & 2.79073 \tabularnewline
8 & 6.5 & 6.61273 & -0.112731 \tabularnewline
9 & 4.5 & 5.45264 & -0.952641 \tabularnewline
10 & 2 & 7.2675 & -5.2675 \tabularnewline
11 & 5 & 6.01042 & -1.01042 \tabularnewline
12 & 0.5 & 6.22356 & -5.72356 \tabularnewline
13 & 5 & 5.47715 & -0.477148 \tabularnewline
14 & 5 & 5.7569 & -0.756902 \tabularnewline
15 & 2.5 & 5.74344 & -3.24344 \tabularnewline
16 & 5 & 6.08889 & -1.08889 \tabularnewline
17 & 5.5 & 5.96279 & -0.462791 \tabularnewline
18 & 3.5 & 5.8803 & -2.3803 \tabularnewline
19 & 3 & 6.55192 & -3.55192 \tabularnewline
20 & 4 & 5.51253 & -1.51253 \tabularnewline
21 & 0.5 & 5.90532 & -5.40532 \tabularnewline
22 & 6.5 & 5.98229 & 0.517708 \tabularnewline
23 & 4.5 & 5.84975 & -1.34975 \tabularnewline
24 & 7.5 & 5.79539 & 1.70461 \tabularnewline
25 & 5.5 & 6.02872 & -0.528717 \tabularnewline
26 & 4 & 5.85648 & -1.85648 \tabularnewline
27 & 7.5 & 6.23489 & 1.26511 \tabularnewline
28 & 7 & 6.51223 & 0.487771 \tabularnewline
29 & 4 & 6.08308 & -2.08308 \tabularnewline
30 & 5.5 & 5.57794 & -0.0779351 \tabularnewline
31 & 2.5 & 5.66595 & -3.16595 \tabularnewline
32 & 5.5 & 6.32866 & -0.828663 \tabularnewline
33 & 3.5 & 5.80333 & -2.30333 \tabularnewline
34 & 2.5 & 5.82352 & -3.32352 \tabularnewline
35 & 4.5 & 5.79418 & -1.29418 \tabularnewline
36 & 4.5 & 6.22788 & -1.72788 \tabularnewline
37 & 4.5 & 5.86442 & -1.36442 \tabularnewline
38 & 6 & 6.41265 & -0.41265 \tabularnewline
39 & 2.5 & 6.47708 & -3.97708 \tabularnewline
40 & 5 & 5.5303 & -0.530303 \tabularnewline
41 & 0 & 6.58098 & -6.58098 \tabularnewline
42 & 5 & 6.32745 & -1.32745 \tabularnewline
43 & 6.5 & 5.92551 & 0.574487 \tabularnewline
44 & 5 & 5.43504 & -0.435038 \tabularnewline
45 & 6 & 6.15982 & -0.159819 \tabularnewline
46 & 4.5 & 6.11483 & -1.61483 \tabularnewline
47 & 5.5 & 6.33539 & -0.835393 \tabularnewline
48 & 1 & 6.22022 & -5.22022 \tabularnewline
49 & 7.5 & 5.68908 & 1.81092 \tabularnewline
50 & 6 & 6.38763 & -0.387625 \tabularnewline
51 & 5 & 5.90198 & -0.901982 \tabularnewline
52 & 1 & 6.41144 & -5.41144 \tabularnewline
53 & 5 & 6.24134 & -1.24134 \tabularnewline
54 & 6.5 & 6.08216 & 0.417843 \tabularnewline
55 & 7 & 6.2529 & 0.747101 \tabularnewline
56 & 4.5 & 5.88824 & -1.38824 \tabularnewline
57 & 0 & 5.7829 & -5.7829 \tabularnewline
58 & 8.5 & 6.05012 & 2.44988 \tabularnewline
59 & 3.5 & 6.37175 & -2.87175 \tabularnewline
60 & 7.5 & 6.39556 & 1.10444 \tabularnewline
61 & 3.5 & 6.19854 & -2.69854 \tabularnewline
62 & 6 & 5.8803 & 0.119703 \tabularnewline
63 & 1.5 & 5.52909 & -4.02909 \tabularnewline
64 & 9 & 6.19491 & 2.80509 \tabularnewline
65 & 3.5 & 6.32072 & -2.82072 \tabularnewline
66 & 3.5 & 6.41023 & -2.91023 \tabularnewline
67 & 4 & 5.82041 & -1.82041 \tabularnewline
68 & 6.5 & 6.31399 & 0.186007 \tabularnewline
69 & 7.5 & 5.98661 & 1.51339 \tabularnewline
70 & 6 & 6.26181 & -0.261814 \tabularnewline
71 & 5 & 6.35127 & -1.35127 \tabularnewline
72 & 5.5 & 6.11915 & -0.619149 \tabularnewline
73 & 3.5 & 6.59835 & -3.09835 \tabularnewline
74 & 7.5 & 6.86343 & 0.636569 \tabularnewline
75 & 6.5 & 5.35807 & 1.14193 \tabularnewline
76 & NA & NA & 0.591572 \tabularnewline
77 & 6.5 & 6.50187 & -0.00187424 \tabularnewline
78 & 6.5 & 5.64538 & 0.854619 \tabularnewline
79 & 7 & 9.5523 & -2.5523 \tabularnewline
80 & 3.5 & 7.81006 & -4.31006 \tabularnewline
81 & 1.5 & 3.76423 & -2.26423 \tabularnewline
82 & 4 & 2.48689 & 1.51311 \tabularnewline
83 & 7.5 & 8.98568 & -1.48568 \tabularnewline
84 & 4.5 & 10.6115 & -6.1115 \tabularnewline
85 & 0 & 3.01775 & -3.01775 \tabularnewline
86 & 3.5 & 4.42853 & -0.928527 \tabularnewline
87 & 5.5 & 6.85156 & -1.35156 \tabularnewline
88 & 5 & 6.31828 & -1.31828 \tabularnewline
89 & 4.5 & 8.22695 & -3.72695 \tabularnewline
90 & 2.5 & 0.978954 & 1.52105 \tabularnewline
91 & 7.5 & 6.97374 & 0.526257 \tabularnewline
92 & 7 & 13.1916 & -6.19157 \tabularnewline
93 & 0 & 1.83016 & -1.83016 \tabularnewline
94 & 4.5 & 7.6757 & -3.1757 \tabularnewline
95 & 3 & 8.03484 & -5.03484 \tabularnewline
96 & 1.5 & 4.17501 & -2.67501 \tabularnewline
97 & 3.5 & 7.3821 & -3.8821 \tabularnewline
98 & 2.5 & 3.23489 & -0.734891 \tabularnewline
99 & 5.5 & 3.80151 & 1.69849 \tabularnewline
100 & 8 & 13.0119 & -5.01192 \tabularnewline
101 & 1 & 2.19641 & -1.19641 \tabularnewline
102 & 5 & 6.43495 & -1.43495 \tabularnewline
103 & 4.5 & 7.48879 & -2.98879 \tabularnewline
104 & 3 & 6.08095 & -3.08095 \tabularnewline
105 & 3 & 1.24162 & 1.75838 \tabularnewline
106 & 8 & 11.9194 & -3.91938 \tabularnewline
107 & 2.5 & 2.13683 & 0.363168 \tabularnewline
108 & 7 & 12.9472 & -5.9472 \tabularnewline
109 & 0 & 5.35156 & -5.35156 \tabularnewline
110 & 1 & 4.0055 & -3.0055 \tabularnewline
111 & 3.5 & 4.2361 & -0.736099 \tabularnewline
112 & 5.5 & 6.35949 & -0.859495 \tabularnewline
113 & 5.5 & 11.7306 & -6.2306 \tabularnewline
114 & 0.5 & -0.787311 & 1.28731 \tabularnewline
115 & 7.5 & 4.44018 & 3.05982 \tabularnewline
116 & 9 & 5.42672 & 3.57328 \tabularnewline
117 & 9.5 & 7.70586 & 1.79414 \tabularnewline
118 & 8.5 & 8.27611 & 0.223895 \tabularnewline
119 & 7 & 5.52903 & 1.47097 \tabularnewline
120 & 8 & 4.22908 & 3.77092 \tabularnewline
121 & 10 & 9.05132 & 0.948675 \tabularnewline
122 & 7 & 4.58066 & 2.41934 \tabularnewline
123 & 8.5 & 6.35279 & 2.14721 \tabularnewline
124 & 9 & 5.18908 & 3.81092 \tabularnewline
125 & 9.5 & 11.6271 & -2.12709 \tabularnewline
126 & 4 & 3.96521 & 0.0347931 \tabularnewline
127 & 6 & 4.00801 & 1.99199 \tabularnewline
128 & 8 & 8.59654 & -0.596541 \tabularnewline
129 & 5.5 & 2.2147 & 3.2853 \tabularnewline
130 & 9.5 & 8.16557 & 1.33443 \tabularnewline
131 & 7.5 & 6.78103 & 0.71897 \tabularnewline
132 & 7 & 5.5049 & 1.4951 \tabularnewline
133 & 7.5 & 5.23982 & 2.26018 \tabularnewline
134 & 8 & 6.93587 & 1.06413 \tabularnewline
135 & 7 & 6.11553 & 0.884475 \tabularnewline
136 & 7 & 7.38544 & -0.385441 \tabularnewline
137 & 6 & 2.1723 & 3.8277 \tabularnewline
138 & 10 & 13.318 & -3.318 \tabularnewline
139 & 2.5 & -0.642311 & 3.14231 \tabularnewline
140 & 9 & 7.80205 & 1.19795 \tabularnewline
141 & 8 & 8.60145 & -0.601454 \tabularnewline
142 & 6 & 3.30885 & 2.69115 \tabularnewline
143 & 8.5 & 8.34423 & 0.155773 \tabularnewline
144 & 6 & 2.57 & 3.43 \tabularnewline
145 & 9 & 6.96521 & 2.03479 \tabularnewline
146 & 8 & 5.78255 & 2.21745 \tabularnewline
147 & 9 & 10.3509 & -1.35089 \tabularnewline
148 & 5.5 & 4.81279 & 0.687215 \tabularnewline
149 & 7 & 7.84333 & -0.843332 \tabularnewline
150 & 5.5 & 2.94412 & 2.55588 \tabularnewline
151 & 9 & 12.4942 & -3.49423 \tabularnewline
152 & 2 & -0.15546 & 2.15546 \tabularnewline
153 & 8.5 & 5.84454 & 2.65546 \tabularnewline
154 & 9 & 6.67662 & 2.32338 \tabularnewline
155 & 8.5 & 6.08489 & 2.41511 \tabularnewline
156 & 9 & 8.22416 & 0.775842 \tabularnewline
157 & 7.5 & 3.93307 & 3.56693 \tabularnewline
158 & 10 & 6.82593 & 3.17407 \tabularnewline
159 & 9 & 8.30113 & 0.698871 \tabularnewline
160 & 7.5 & 7.69278 & -0.192782 \tabularnewline
161 & 6 & 1.87969 & 4.12031 \tabularnewline
162 & 10.5 & 8.19641 & 2.30359 \tabularnewline
163 & 8.5 & 6.83419 & 1.66581 \tabularnewline
164 & 8 & 4.43066 & 3.56934 \tabularnewline
165 & 10 & 6.61574 & 3.38426 \tabularnewline
166 & 10.5 & 10.2722 & 0.227831 \tabularnewline
167 & 6.5 & 2.96308 & 3.53692 \tabularnewline
168 & 9.5 & 7.2575 & 2.2425 \tabularnewline
169 & 8.5 & 7.63131 & 0.86869 \tabularnewline
170 & 7.5 & 8.76665 & -1.26665 \tabularnewline
171 & 5 & 3.09251 & 1.90749 \tabularnewline
172 & 8 & 4.4658 & 3.5342 \tabularnewline
173 & 10 & 9.18053 & 0.819472 \tabularnewline
174 & 7 & 5.93739 & 1.06261 \tabularnewline
175 & 7.5 & 6.34454 & 1.15546 \tabularnewline
176 & 7.5 & 3.92459 & 3.57541 \tabularnewline
177 & 9.5 & 10.0052 & -0.505213 \tabularnewline
178 & 6 & 2.00559 & 3.99441 \tabularnewline
179 & 10 & 9.38763 & 0.612375 \tabularnewline
180 & 7 & 9.84733 & -2.84733 \tabularnewline
181 & 3 & 3.64356 & -0.643563 \tabularnewline
182 & 6 & 5.55624 & 0.443763 \tabularnewline
183 & 7 & 2.93345 & 4.06655 \tabularnewline
184 & 10 & 9.05713 & 0.942867 \tabularnewline
185 & 7 & 9.83879 & -2.83879 \tabularnewline
186 & 3.5 & 2.02138 & 1.47862 \tabularnewline
187 & 8 & 4.39798 & 3.60202 \tabularnewline
188 & 10 & 10.7282 & -0.72816 \tabularnewline
189 & 5.5 & 5.87537 & -0.375372 \tabularnewline
190 & 6 & 5.51744 & 0.482561 \tabularnewline
191 & 6.5 & 6.42611 & 0.0738889 \tabularnewline
192 & 6.5 & 3.98931 & 2.51069 \tabularnewline
193 & 8.5 & 11.215 & -2.71501 \tabularnewline
194 & 4 & 0.883311 & 3.11669 \tabularnewline
195 & 9.5 & 8.18757 & 1.31243 \tabularnewline
196 & 8 & 6.65423 & 1.34577 \tabularnewline
197 & 8.5 & 8.72394 & -0.223939 \tabularnewline
198 & 5.5 & 4.94199 & 0.558012 \tabularnewline
199 & 7 & 4.3412 & 2.6588 \tabularnewline
200 & 9 & 7.49204 & 1.50796 \tabularnewline
201 & 8 & 6.17649 & 1.82351 \tabularnewline
202 & 10 & 9.11816 & 0.881839 \tabularnewline
203 & 8 & 7.98902 & 0.010977 \tabularnewline
204 & 6 & 4.03884 & 1.96116 \tabularnewline
205 & 8 & 8.42278 & -0.422785 \tabularnewline
206 & 5 & 2.07732 & 2.92268 \tabularnewline
207 & 9 & 10.3259 & -1.32593 \tabularnewline
208 & 4.5 & 3.01254 & 1.48746 \tabularnewline
209 & 8.5 & 4.90751 & 3.59249 \tabularnewline
210 & 9.5 & 6.90077 & 2.59923 \tabularnewline
211 & 8.5 & 7.30392 & 1.19608 \tabularnewline
212 & 7.5 & 5.84181 & 1.65819 \tabularnewline
213 & 7.5 & 8.22635 & -0.726355 \tabularnewline
214 & 5 & 3.75477 & 1.24523 \tabularnewline
215 & 7 & 4.64818 & 2.35182 \tabularnewline
216 & 8 & 9.11394 & -1.11394 \tabularnewline
217 & 5.5 & 3.44751 & 2.05249 \tabularnewline
218 & 8.5 & 4.90411 & 3.59589 \tabularnewline
219 & 9.5 & 8.60114 & 0.898859 \tabularnewline
220 & 7 & 5.32653 & 1.67347 \tabularnewline
221 & 8 & 5.02478 & 2.97522 \tabularnewline
222 & 8.5 & 10.8262 & -2.32622 \tabularnewline
223 & 3.5 & 3.36715 & 0.132852 \tabularnewline
224 & 6.5 & 5.72394 & 0.776061 \tabularnewline
225 & 6.5 & 1.8406 & 4.6594 \tabularnewline
226 & 10.5 & 8.38763 & 2.11237 \tabularnewline
227 & 8.5 & 6.72908 & 1.77092 \tabularnewline
228 & 8 & 4.13531 & 3.86469 \tabularnewline
229 & 10 & 5.74223 & 4.25777 \tabularnewline
230 & 10 & 6.47988 & 3.52012 \tabularnewline
231 & 9.5 & 6.6295 & 2.8705 \tabularnewline
232 & 9 & 5.21994 & 3.78006 \tabularnewline
233 & 10 & 8.25719 & 1.74281 \tabularnewline
234 & 7.5 & 8.69339 & -1.19339 \tabularnewline
235 & 4.5 & 6.00369 & -1.50369 \tabularnewline
236 & 4.5 & 10.314 & -5.81399 \tabularnewline
237 & 0.5 & -0.00516906 & 0.505169 \tabularnewline
238 & 6.5 & 7.75017 & -1.25017 \tabularnewline
239 & 4.5 & 6.44595 & -1.94595 \tabularnewline
240 & 5.5 & 6.75198 & -1.25198 \tabularnewline
241 & 5 & 5.0458 & -0.045802 \tabularnewline
242 & 6 & 7.43653 & -1.43653 \tabularnewline
243 & 4 & 2.42059 & 1.57941 \tabularnewline
244 & 8 & 4.11975 & 3.88025 \tabularnewline
245 & 10.5 & 10.5733 & -0.0733226 \tabularnewline
246 & 6.5 & 4.27065 & 2.22935 \tabularnewline
247 & 8 & 5.88061 & 2.11939 \tabularnewline
248 & 8.5 & 9.22546 & -0.725459 \tabularnewline
249 & 5.5 & 4.52872 & 0.971283 \tabularnewline
250 & 7 & 8.02872 & -1.02872 \tabularnewline
251 & 5 & 7.24102 & -2.24102 \tabularnewline
252 & 3.5 & 4.38703 & -0.887028 \tabularnewline
253 & 5 & 2.22574 & 2.77426 \tabularnewline
254 & 9 & 6.82843 & 2.17157 \tabularnewline
255 & 8.5 & 9.49334 & -0.993338 \tabularnewline
256 & 5 & 1.84362 & 3.15638 \tabularnewline
257 & 9.5 & 12.4484 & -2.94841 \tabularnewline
258 & 3 & 6.94902 & -3.94902 \tabularnewline
259 & 1.5 & 1.51744 & -0.0174391 \tabularnewline
260 & 6 & 12.2193 & -6.21933 \tabularnewline
261 & 0.5 & 1.07726 & -0.577259 \tabularnewline
262 & 6.5 & 4.93253 & 1.56747 \tabularnewline
263 & 7.5 & 9.82805 & -2.32805 \tabularnewline
264 & 4.5 & 2.96028 & 1.53972 \tabularnewline
265 & 8 & 5.34241 & 2.65759 \tabularnewline
266 & 9 & 8.18999 & 0.810013 \tabularnewline
267 & 7.5 & 5.85739 & 1.64261 \tabularnewline
268 & 8.5 & 7.32864 & 1.17136 \tabularnewline
269 & 7 & 3.85276 & 3.14724 \tabularnewline
270 & 9.5 & 9.18174 & 0.318264 \tabularnewline
271 & 6.5 & 2.97222 & 3.52778 \tabularnewline
272 & 9.5 & 9.33053 & 0.169466 \tabularnewline
273 & 6 & 4.12617 & 1.87383 \tabularnewline
274 & 8 & 4.69641 & 3.30359 \tabularnewline
275 & 9.5 & 7.89798 & 1.60202 \tabularnewline
276 & 8 & 6.4814 & 1.5186 \tabularnewline
277 & 8 & 5.09562 & 2.90438 \tabularnewline
278 & 9 & NA & NA \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266230&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]6.57062[/C][C]0.929378[/C][/ROW]
[ROW][C]2[/C][C]6[/C][C]6.25963[/C][C]-0.25963[/C][/ROW]
[ROW][C]3[/C][C]6.5[/C][C]6.47225[/C][C]0.0277498[/C][/ROW]
[ROW][C]4[/C][C]1[/C][C]5.9212[/C][C]-4.9212[/C][/ROW]
[ROW][C]5[/C][C]1[/C][C]6.51988[/C][C]-5.51988[/C][/ROW]
[ROW][C]6[/C][C]5.5[/C][C]6.08066[/C][C]-0.580664[/C][/ROW]
[ROW][C]7[/C][C]8.5[/C][C]5.70927[/C][C]2.79073[/C][/ROW]
[ROW][C]8[/C][C]6.5[/C][C]6.61273[/C][C]-0.112731[/C][/ROW]
[ROW][C]9[/C][C]4.5[/C][C]5.45264[/C][C]-0.952641[/C][/ROW]
[ROW][C]10[/C][C]2[/C][C]7.2675[/C][C]-5.2675[/C][/ROW]
[ROW][C]11[/C][C]5[/C][C]6.01042[/C][C]-1.01042[/C][/ROW]
[ROW][C]12[/C][C]0.5[/C][C]6.22356[/C][C]-5.72356[/C][/ROW]
[ROW][C]13[/C][C]5[/C][C]5.47715[/C][C]-0.477148[/C][/ROW]
[ROW][C]14[/C][C]5[/C][C]5.7569[/C][C]-0.756902[/C][/ROW]
[ROW][C]15[/C][C]2.5[/C][C]5.74344[/C][C]-3.24344[/C][/ROW]
[ROW][C]16[/C][C]5[/C][C]6.08889[/C][C]-1.08889[/C][/ROW]
[ROW][C]17[/C][C]5.5[/C][C]5.96279[/C][C]-0.462791[/C][/ROW]
[ROW][C]18[/C][C]3.5[/C][C]5.8803[/C][C]-2.3803[/C][/ROW]
[ROW][C]19[/C][C]3[/C][C]6.55192[/C][C]-3.55192[/C][/ROW]
[ROW][C]20[/C][C]4[/C][C]5.51253[/C][C]-1.51253[/C][/ROW]
[ROW][C]21[/C][C]0.5[/C][C]5.90532[/C][C]-5.40532[/C][/ROW]
[ROW][C]22[/C][C]6.5[/C][C]5.98229[/C][C]0.517708[/C][/ROW]
[ROW][C]23[/C][C]4.5[/C][C]5.84975[/C][C]-1.34975[/C][/ROW]
[ROW][C]24[/C][C]7.5[/C][C]5.79539[/C][C]1.70461[/C][/ROW]
[ROW][C]25[/C][C]5.5[/C][C]6.02872[/C][C]-0.528717[/C][/ROW]
[ROW][C]26[/C][C]4[/C][C]5.85648[/C][C]-1.85648[/C][/ROW]
[ROW][C]27[/C][C]7.5[/C][C]6.23489[/C][C]1.26511[/C][/ROW]
[ROW][C]28[/C][C]7[/C][C]6.51223[/C][C]0.487771[/C][/ROW]
[ROW][C]29[/C][C]4[/C][C]6.08308[/C][C]-2.08308[/C][/ROW]
[ROW][C]30[/C][C]5.5[/C][C]5.57794[/C][C]-0.0779351[/C][/ROW]
[ROW][C]31[/C][C]2.5[/C][C]5.66595[/C][C]-3.16595[/C][/ROW]
[ROW][C]32[/C][C]5.5[/C][C]6.32866[/C][C]-0.828663[/C][/ROW]
[ROW][C]33[/C][C]3.5[/C][C]5.80333[/C][C]-2.30333[/C][/ROW]
[ROW][C]34[/C][C]2.5[/C][C]5.82352[/C][C]-3.32352[/C][/ROW]
[ROW][C]35[/C][C]4.5[/C][C]5.79418[/C][C]-1.29418[/C][/ROW]
[ROW][C]36[/C][C]4.5[/C][C]6.22788[/C][C]-1.72788[/C][/ROW]
[ROW][C]37[/C][C]4.5[/C][C]5.86442[/C][C]-1.36442[/C][/ROW]
[ROW][C]38[/C][C]6[/C][C]6.41265[/C][C]-0.41265[/C][/ROW]
[ROW][C]39[/C][C]2.5[/C][C]6.47708[/C][C]-3.97708[/C][/ROW]
[ROW][C]40[/C][C]5[/C][C]5.5303[/C][C]-0.530303[/C][/ROW]
[ROW][C]41[/C][C]0[/C][C]6.58098[/C][C]-6.58098[/C][/ROW]
[ROW][C]42[/C][C]5[/C][C]6.32745[/C][C]-1.32745[/C][/ROW]
[ROW][C]43[/C][C]6.5[/C][C]5.92551[/C][C]0.574487[/C][/ROW]
[ROW][C]44[/C][C]5[/C][C]5.43504[/C][C]-0.435038[/C][/ROW]
[ROW][C]45[/C][C]6[/C][C]6.15982[/C][C]-0.159819[/C][/ROW]
[ROW][C]46[/C][C]4.5[/C][C]6.11483[/C][C]-1.61483[/C][/ROW]
[ROW][C]47[/C][C]5.5[/C][C]6.33539[/C][C]-0.835393[/C][/ROW]
[ROW][C]48[/C][C]1[/C][C]6.22022[/C][C]-5.22022[/C][/ROW]
[ROW][C]49[/C][C]7.5[/C][C]5.68908[/C][C]1.81092[/C][/ROW]
[ROW][C]50[/C][C]6[/C][C]6.38763[/C][C]-0.387625[/C][/ROW]
[ROW][C]51[/C][C]5[/C][C]5.90198[/C][C]-0.901982[/C][/ROW]
[ROW][C]52[/C][C]1[/C][C]6.41144[/C][C]-5.41144[/C][/ROW]
[ROW][C]53[/C][C]5[/C][C]6.24134[/C][C]-1.24134[/C][/ROW]
[ROW][C]54[/C][C]6.5[/C][C]6.08216[/C][C]0.417843[/C][/ROW]
[ROW][C]55[/C][C]7[/C][C]6.2529[/C][C]0.747101[/C][/ROW]
[ROW][C]56[/C][C]4.5[/C][C]5.88824[/C][C]-1.38824[/C][/ROW]
[ROW][C]57[/C][C]0[/C][C]5.7829[/C][C]-5.7829[/C][/ROW]
[ROW][C]58[/C][C]8.5[/C][C]6.05012[/C][C]2.44988[/C][/ROW]
[ROW][C]59[/C][C]3.5[/C][C]6.37175[/C][C]-2.87175[/C][/ROW]
[ROW][C]60[/C][C]7.5[/C][C]6.39556[/C][C]1.10444[/C][/ROW]
[ROW][C]61[/C][C]3.5[/C][C]6.19854[/C][C]-2.69854[/C][/ROW]
[ROW][C]62[/C][C]6[/C][C]5.8803[/C][C]0.119703[/C][/ROW]
[ROW][C]63[/C][C]1.5[/C][C]5.52909[/C][C]-4.02909[/C][/ROW]
[ROW][C]64[/C][C]9[/C][C]6.19491[/C][C]2.80509[/C][/ROW]
[ROW][C]65[/C][C]3.5[/C][C]6.32072[/C][C]-2.82072[/C][/ROW]
[ROW][C]66[/C][C]3.5[/C][C]6.41023[/C][C]-2.91023[/C][/ROW]
[ROW][C]67[/C][C]4[/C][C]5.82041[/C][C]-1.82041[/C][/ROW]
[ROW][C]68[/C][C]6.5[/C][C]6.31399[/C][C]0.186007[/C][/ROW]
[ROW][C]69[/C][C]7.5[/C][C]5.98661[/C][C]1.51339[/C][/ROW]
[ROW][C]70[/C][C]6[/C][C]6.26181[/C][C]-0.261814[/C][/ROW]
[ROW][C]71[/C][C]5[/C][C]6.35127[/C][C]-1.35127[/C][/ROW]
[ROW][C]72[/C][C]5.5[/C][C]6.11915[/C][C]-0.619149[/C][/ROW]
[ROW][C]73[/C][C]3.5[/C][C]6.59835[/C][C]-3.09835[/C][/ROW]
[ROW][C]74[/C][C]7.5[/C][C]6.86343[/C][C]0.636569[/C][/ROW]
[ROW][C]75[/C][C]6.5[/C][C]5.35807[/C][C]1.14193[/C][/ROW]
[ROW][C]76[/C][C]NA[/C][C]NA[/C][C]0.591572[/C][/ROW]
[ROW][C]77[/C][C]6.5[/C][C]6.50187[/C][C]-0.00187424[/C][/ROW]
[ROW][C]78[/C][C]6.5[/C][C]5.64538[/C][C]0.854619[/C][/ROW]
[ROW][C]79[/C][C]7[/C][C]9.5523[/C][C]-2.5523[/C][/ROW]
[ROW][C]80[/C][C]3.5[/C][C]7.81006[/C][C]-4.31006[/C][/ROW]
[ROW][C]81[/C][C]1.5[/C][C]3.76423[/C][C]-2.26423[/C][/ROW]
[ROW][C]82[/C][C]4[/C][C]2.48689[/C][C]1.51311[/C][/ROW]
[ROW][C]83[/C][C]7.5[/C][C]8.98568[/C][C]-1.48568[/C][/ROW]
[ROW][C]84[/C][C]4.5[/C][C]10.6115[/C][C]-6.1115[/C][/ROW]
[ROW][C]85[/C][C]0[/C][C]3.01775[/C][C]-3.01775[/C][/ROW]
[ROW][C]86[/C][C]3.5[/C][C]4.42853[/C][C]-0.928527[/C][/ROW]
[ROW][C]87[/C][C]5.5[/C][C]6.85156[/C][C]-1.35156[/C][/ROW]
[ROW][C]88[/C][C]5[/C][C]6.31828[/C][C]-1.31828[/C][/ROW]
[ROW][C]89[/C][C]4.5[/C][C]8.22695[/C][C]-3.72695[/C][/ROW]
[ROW][C]90[/C][C]2.5[/C][C]0.978954[/C][C]1.52105[/C][/ROW]
[ROW][C]91[/C][C]7.5[/C][C]6.97374[/C][C]0.526257[/C][/ROW]
[ROW][C]92[/C][C]7[/C][C]13.1916[/C][C]-6.19157[/C][/ROW]
[ROW][C]93[/C][C]0[/C][C]1.83016[/C][C]-1.83016[/C][/ROW]
[ROW][C]94[/C][C]4.5[/C][C]7.6757[/C][C]-3.1757[/C][/ROW]
[ROW][C]95[/C][C]3[/C][C]8.03484[/C][C]-5.03484[/C][/ROW]
[ROW][C]96[/C][C]1.5[/C][C]4.17501[/C][C]-2.67501[/C][/ROW]
[ROW][C]97[/C][C]3.5[/C][C]7.3821[/C][C]-3.8821[/C][/ROW]
[ROW][C]98[/C][C]2.5[/C][C]3.23489[/C][C]-0.734891[/C][/ROW]
[ROW][C]99[/C][C]5.5[/C][C]3.80151[/C][C]1.69849[/C][/ROW]
[ROW][C]100[/C][C]8[/C][C]13.0119[/C][C]-5.01192[/C][/ROW]
[ROW][C]101[/C][C]1[/C][C]2.19641[/C][C]-1.19641[/C][/ROW]
[ROW][C]102[/C][C]5[/C][C]6.43495[/C][C]-1.43495[/C][/ROW]
[ROW][C]103[/C][C]4.5[/C][C]7.48879[/C][C]-2.98879[/C][/ROW]
[ROW][C]104[/C][C]3[/C][C]6.08095[/C][C]-3.08095[/C][/ROW]
[ROW][C]105[/C][C]3[/C][C]1.24162[/C][C]1.75838[/C][/ROW]
[ROW][C]106[/C][C]8[/C][C]11.9194[/C][C]-3.91938[/C][/ROW]
[ROW][C]107[/C][C]2.5[/C][C]2.13683[/C][C]0.363168[/C][/ROW]
[ROW][C]108[/C][C]7[/C][C]12.9472[/C][C]-5.9472[/C][/ROW]
[ROW][C]109[/C][C]0[/C][C]5.35156[/C][C]-5.35156[/C][/ROW]
[ROW][C]110[/C][C]1[/C][C]4.0055[/C][C]-3.0055[/C][/ROW]
[ROW][C]111[/C][C]3.5[/C][C]4.2361[/C][C]-0.736099[/C][/ROW]
[ROW][C]112[/C][C]5.5[/C][C]6.35949[/C][C]-0.859495[/C][/ROW]
[ROW][C]113[/C][C]5.5[/C][C]11.7306[/C][C]-6.2306[/C][/ROW]
[ROW][C]114[/C][C]0.5[/C][C]-0.787311[/C][C]1.28731[/C][/ROW]
[ROW][C]115[/C][C]7.5[/C][C]4.44018[/C][C]3.05982[/C][/ROW]
[ROW][C]116[/C][C]9[/C][C]5.42672[/C][C]3.57328[/C][/ROW]
[ROW][C]117[/C][C]9.5[/C][C]7.70586[/C][C]1.79414[/C][/ROW]
[ROW][C]118[/C][C]8.5[/C][C]8.27611[/C][C]0.223895[/C][/ROW]
[ROW][C]119[/C][C]7[/C][C]5.52903[/C][C]1.47097[/C][/ROW]
[ROW][C]120[/C][C]8[/C][C]4.22908[/C][C]3.77092[/C][/ROW]
[ROW][C]121[/C][C]10[/C][C]9.05132[/C][C]0.948675[/C][/ROW]
[ROW][C]122[/C][C]7[/C][C]4.58066[/C][C]2.41934[/C][/ROW]
[ROW][C]123[/C][C]8.5[/C][C]6.35279[/C][C]2.14721[/C][/ROW]
[ROW][C]124[/C][C]9[/C][C]5.18908[/C][C]3.81092[/C][/ROW]
[ROW][C]125[/C][C]9.5[/C][C]11.6271[/C][C]-2.12709[/C][/ROW]
[ROW][C]126[/C][C]4[/C][C]3.96521[/C][C]0.0347931[/C][/ROW]
[ROW][C]127[/C][C]6[/C][C]4.00801[/C][C]1.99199[/C][/ROW]
[ROW][C]128[/C][C]8[/C][C]8.59654[/C][C]-0.596541[/C][/ROW]
[ROW][C]129[/C][C]5.5[/C][C]2.2147[/C][C]3.2853[/C][/ROW]
[ROW][C]130[/C][C]9.5[/C][C]8.16557[/C][C]1.33443[/C][/ROW]
[ROW][C]131[/C][C]7.5[/C][C]6.78103[/C][C]0.71897[/C][/ROW]
[ROW][C]132[/C][C]7[/C][C]5.5049[/C][C]1.4951[/C][/ROW]
[ROW][C]133[/C][C]7.5[/C][C]5.23982[/C][C]2.26018[/C][/ROW]
[ROW][C]134[/C][C]8[/C][C]6.93587[/C][C]1.06413[/C][/ROW]
[ROW][C]135[/C][C]7[/C][C]6.11553[/C][C]0.884475[/C][/ROW]
[ROW][C]136[/C][C]7[/C][C]7.38544[/C][C]-0.385441[/C][/ROW]
[ROW][C]137[/C][C]6[/C][C]2.1723[/C][C]3.8277[/C][/ROW]
[ROW][C]138[/C][C]10[/C][C]13.318[/C][C]-3.318[/C][/ROW]
[ROW][C]139[/C][C]2.5[/C][C]-0.642311[/C][C]3.14231[/C][/ROW]
[ROW][C]140[/C][C]9[/C][C]7.80205[/C][C]1.19795[/C][/ROW]
[ROW][C]141[/C][C]8[/C][C]8.60145[/C][C]-0.601454[/C][/ROW]
[ROW][C]142[/C][C]6[/C][C]3.30885[/C][C]2.69115[/C][/ROW]
[ROW][C]143[/C][C]8.5[/C][C]8.34423[/C][C]0.155773[/C][/ROW]
[ROW][C]144[/C][C]6[/C][C]2.57[/C][C]3.43[/C][/ROW]
[ROW][C]145[/C][C]9[/C][C]6.96521[/C][C]2.03479[/C][/ROW]
[ROW][C]146[/C][C]8[/C][C]5.78255[/C][C]2.21745[/C][/ROW]
[ROW][C]147[/C][C]9[/C][C]10.3509[/C][C]-1.35089[/C][/ROW]
[ROW][C]148[/C][C]5.5[/C][C]4.81279[/C][C]0.687215[/C][/ROW]
[ROW][C]149[/C][C]7[/C][C]7.84333[/C][C]-0.843332[/C][/ROW]
[ROW][C]150[/C][C]5.5[/C][C]2.94412[/C][C]2.55588[/C][/ROW]
[ROW][C]151[/C][C]9[/C][C]12.4942[/C][C]-3.49423[/C][/ROW]
[ROW][C]152[/C][C]2[/C][C]-0.15546[/C][C]2.15546[/C][/ROW]
[ROW][C]153[/C][C]8.5[/C][C]5.84454[/C][C]2.65546[/C][/ROW]
[ROW][C]154[/C][C]9[/C][C]6.67662[/C][C]2.32338[/C][/ROW]
[ROW][C]155[/C][C]8.5[/C][C]6.08489[/C][C]2.41511[/C][/ROW]
[ROW][C]156[/C][C]9[/C][C]8.22416[/C][C]0.775842[/C][/ROW]
[ROW][C]157[/C][C]7.5[/C][C]3.93307[/C][C]3.56693[/C][/ROW]
[ROW][C]158[/C][C]10[/C][C]6.82593[/C][C]3.17407[/C][/ROW]
[ROW][C]159[/C][C]9[/C][C]8.30113[/C][C]0.698871[/C][/ROW]
[ROW][C]160[/C][C]7.5[/C][C]7.69278[/C][C]-0.192782[/C][/ROW]
[ROW][C]161[/C][C]6[/C][C]1.87969[/C][C]4.12031[/C][/ROW]
[ROW][C]162[/C][C]10.5[/C][C]8.19641[/C][C]2.30359[/C][/ROW]
[ROW][C]163[/C][C]8.5[/C][C]6.83419[/C][C]1.66581[/C][/ROW]
[ROW][C]164[/C][C]8[/C][C]4.43066[/C][C]3.56934[/C][/ROW]
[ROW][C]165[/C][C]10[/C][C]6.61574[/C][C]3.38426[/C][/ROW]
[ROW][C]166[/C][C]10.5[/C][C]10.2722[/C][C]0.227831[/C][/ROW]
[ROW][C]167[/C][C]6.5[/C][C]2.96308[/C][C]3.53692[/C][/ROW]
[ROW][C]168[/C][C]9.5[/C][C]7.2575[/C][C]2.2425[/C][/ROW]
[ROW][C]169[/C][C]8.5[/C][C]7.63131[/C][C]0.86869[/C][/ROW]
[ROW][C]170[/C][C]7.5[/C][C]8.76665[/C][C]-1.26665[/C][/ROW]
[ROW][C]171[/C][C]5[/C][C]3.09251[/C][C]1.90749[/C][/ROW]
[ROW][C]172[/C][C]8[/C][C]4.4658[/C][C]3.5342[/C][/ROW]
[ROW][C]173[/C][C]10[/C][C]9.18053[/C][C]0.819472[/C][/ROW]
[ROW][C]174[/C][C]7[/C][C]5.93739[/C][C]1.06261[/C][/ROW]
[ROW][C]175[/C][C]7.5[/C][C]6.34454[/C][C]1.15546[/C][/ROW]
[ROW][C]176[/C][C]7.5[/C][C]3.92459[/C][C]3.57541[/C][/ROW]
[ROW][C]177[/C][C]9.5[/C][C]10.0052[/C][C]-0.505213[/C][/ROW]
[ROW][C]178[/C][C]6[/C][C]2.00559[/C][C]3.99441[/C][/ROW]
[ROW][C]179[/C][C]10[/C][C]9.38763[/C][C]0.612375[/C][/ROW]
[ROW][C]180[/C][C]7[/C][C]9.84733[/C][C]-2.84733[/C][/ROW]
[ROW][C]181[/C][C]3[/C][C]3.64356[/C][C]-0.643563[/C][/ROW]
[ROW][C]182[/C][C]6[/C][C]5.55624[/C][C]0.443763[/C][/ROW]
[ROW][C]183[/C][C]7[/C][C]2.93345[/C][C]4.06655[/C][/ROW]
[ROW][C]184[/C][C]10[/C][C]9.05713[/C][C]0.942867[/C][/ROW]
[ROW][C]185[/C][C]7[/C][C]9.83879[/C][C]-2.83879[/C][/ROW]
[ROW][C]186[/C][C]3.5[/C][C]2.02138[/C][C]1.47862[/C][/ROW]
[ROW][C]187[/C][C]8[/C][C]4.39798[/C][C]3.60202[/C][/ROW]
[ROW][C]188[/C][C]10[/C][C]10.7282[/C][C]-0.72816[/C][/ROW]
[ROW][C]189[/C][C]5.5[/C][C]5.87537[/C][C]-0.375372[/C][/ROW]
[ROW][C]190[/C][C]6[/C][C]5.51744[/C][C]0.482561[/C][/ROW]
[ROW][C]191[/C][C]6.5[/C][C]6.42611[/C][C]0.0738889[/C][/ROW]
[ROW][C]192[/C][C]6.5[/C][C]3.98931[/C][C]2.51069[/C][/ROW]
[ROW][C]193[/C][C]8.5[/C][C]11.215[/C][C]-2.71501[/C][/ROW]
[ROW][C]194[/C][C]4[/C][C]0.883311[/C][C]3.11669[/C][/ROW]
[ROW][C]195[/C][C]9.5[/C][C]8.18757[/C][C]1.31243[/C][/ROW]
[ROW][C]196[/C][C]8[/C][C]6.65423[/C][C]1.34577[/C][/ROW]
[ROW][C]197[/C][C]8.5[/C][C]8.72394[/C][C]-0.223939[/C][/ROW]
[ROW][C]198[/C][C]5.5[/C][C]4.94199[/C][C]0.558012[/C][/ROW]
[ROW][C]199[/C][C]7[/C][C]4.3412[/C][C]2.6588[/C][/ROW]
[ROW][C]200[/C][C]9[/C][C]7.49204[/C][C]1.50796[/C][/ROW]
[ROW][C]201[/C][C]8[/C][C]6.17649[/C][C]1.82351[/C][/ROW]
[ROW][C]202[/C][C]10[/C][C]9.11816[/C][C]0.881839[/C][/ROW]
[ROW][C]203[/C][C]8[/C][C]7.98902[/C][C]0.010977[/C][/ROW]
[ROW][C]204[/C][C]6[/C][C]4.03884[/C][C]1.96116[/C][/ROW]
[ROW][C]205[/C][C]8[/C][C]8.42278[/C][C]-0.422785[/C][/ROW]
[ROW][C]206[/C][C]5[/C][C]2.07732[/C][C]2.92268[/C][/ROW]
[ROW][C]207[/C][C]9[/C][C]10.3259[/C][C]-1.32593[/C][/ROW]
[ROW][C]208[/C][C]4.5[/C][C]3.01254[/C][C]1.48746[/C][/ROW]
[ROW][C]209[/C][C]8.5[/C][C]4.90751[/C][C]3.59249[/C][/ROW]
[ROW][C]210[/C][C]9.5[/C][C]6.90077[/C][C]2.59923[/C][/ROW]
[ROW][C]211[/C][C]8.5[/C][C]7.30392[/C][C]1.19608[/C][/ROW]
[ROW][C]212[/C][C]7.5[/C][C]5.84181[/C][C]1.65819[/C][/ROW]
[ROW][C]213[/C][C]7.5[/C][C]8.22635[/C][C]-0.726355[/C][/ROW]
[ROW][C]214[/C][C]5[/C][C]3.75477[/C][C]1.24523[/C][/ROW]
[ROW][C]215[/C][C]7[/C][C]4.64818[/C][C]2.35182[/C][/ROW]
[ROW][C]216[/C][C]8[/C][C]9.11394[/C][C]-1.11394[/C][/ROW]
[ROW][C]217[/C][C]5.5[/C][C]3.44751[/C][C]2.05249[/C][/ROW]
[ROW][C]218[/C][C]8.5[/C][C]4.90411[/C][C]3.59589[/C][/ROW]
[ROW][C]219[/C][C]9.5[/C][C]8.60114[/C][C]0.898859[/C][/ROW]
[ROW][C]220[/C][C]7[/C][C]5.32653[/C][C]1.67347[/C][/ROW]
[ROW][C]221[/C][C]8[/C][C]5.02478[/C][C]2.97522[/C][/ROW]
[ROW][C]222[/C][C]8.5[/C][C]10.8262[/C][C]-2.32622[/C][/ROW]
[ROW][C]223[/C][C]3.5[/C][C]3.36715[/C][C]0.132852[/C][/ROW]
[ROW][C]224[/C][C]6.5[/C][C]5.72394[/C][C]0.776061[/C][/ROW]
[ROW][C]225[/C][C]6.5[/C][C]1.8406[/C][C]4.6594[/C][/ROW]
[ROW][C]226[/C][C]10.5[/C][C]8.38763[/C][C]2.11237[/C][/ROW]
[ROW][C]227[/C][C]8.5[/C][C]6.72908[/C][C]1.77092[/C][/ROW]
[ROW][C]228[/C][C]8[/C][C]4.13531[/C][C]3.86469[/C][/ROW]
[ROW][C]229[/C][C]10[/C][C]5.74223[/C][C]4.25777[/C][/ROW]
[ROW][C]230[/C][C]10[/C][C]6.47988[/C][C]3.52012[/C][/ROW]
[ROW][C]231[/C][C]9.5[/C][C]6.6295[/C][C]2.8705[/C][/ROW]
[ROW][C]232[/C][C]9[/C][C]5.21994[/C][C]3.78006[/C][/ROW]
[ROW][C]233[/C][C]10[/C][C]8.25719[/C][C]1.74281[/C][/ROW]
[ROW][C]234[/C][C]7.5[/C][C]8.69339[/C][C]-1.19339[/C][/ROW]
[ROW][C]235[/C][C]4.5[/C][C]6.00369[/C][C]-1.50369[/C][/ROW]
[ROW][C]236[/C][C]4.5[/C][C]10.314[/C][C]-5.81399[/C][/ROW]
[ROW][C]237[/C][C]0.5[/C][C]-0.00516906[/C][C]0.505169[/C][/ROW]
[ROW][C]238[/C][C]6.5[/C][C]7.75017[/C][C]-1.25017[/C][/ROW]
[ROW][C]239[/C][C]4.5[/C][C]6.44595[/C][C]-1.94595[/C][/ROW]
[ROW][C]240[/C][C]5.5[/C][C]6.75198[/C][C]-1.25198[/C][/ROW]
[ROW][C]241[/C][C]5[/C][C]5.0458[/C][C]-0.045802[/C][/ROW]
[ROW][C]242[/C][C]6[/C][C]7.43653[/C][C]-1.43653[/C][/ROW]
[ROW][C]243[/C][C]4[/C][C]2.42059[/C][C]1.57941[/C][/ROW]
[ROW][C]244[/C][C]8[/C][C]4.11975[/C][C]3.88025[/C][/ROW]
[ROW][C]245[/C][C]10.5[/C][C]10.5733[/C][C]-0.0733226[/C][/ROW]
[ROW][C]246[/C][C]6.5[/C][C]4.27065[/C][C]2.22935[/C][/ROW]
[ROW][C]247[/C][C]8[/C][C]5.88061[/C][C]2.11939[/C][/ROW]
[ROW][C]248[/C][C]8.5[/C][C]9.22546[/C][C]-0.725459[/C][/ROW]
[ROW][C]249[/C][C]5.5[/C][C]4.52872[/C][C]0.971283[/C][/ROW]
[ROW][C]250[/C][C]7[/C][C]8.02872[/C][C]-1.02872[/C][/ROW]
[ROW][C]251[/C][C]5[/C][C]7.24102[/C][C]-2.24102[/C][/ROW]
[ROW][C]252[/C][C]3.5[/C][C]4.38703[/C][C]-0.887028[/C][/ROW]
[ROW][C]253[/C][C]5[/C][C]2.22574[/C][C]2.77426[/C][/ROW]
[ROW][C]254[/C][C]9[/C][C]6.82843[/C][C]2.17157[/C][/ROW]
[ROW][C]255[/C][C]8.5[/C][C]9.49334[/C][C]-0.993338[/C][/ROW]
[ROW][C]256[/C][C]5[/C][C]1.84362[/C][C]3.15638[/C][/ROW]
[ROW][C]257[/C][C]9.5[/C][C]12.4484[/C][C]-2.94841[/C][/ROW]
[ROW][C]258[/C][C]3[/C][C]6.94902[/C][C]-3.94902[/C][/ROW]
[ROW][C]259[/C][C]1.5[/C][C]1.51744[/C][C]-0.0174391[/C][/ROW]
[ROW][C]260[/C][C]6[/C][C]12.2193[/C][C]-6.21933[/C][/ROW]
[ROW][C]261[/C][C]0.5[/C][C]1.07726[/C][C]-0.577259[/C][/ROW]
[ROW][C]262[/C][C]6.5[/C][C]4.93253[/C][C]1.56747[/C][/ROW]
[ROW][C]263[/C][C]7.5[/C][C]9.82805[/C][C]-2.32805[/C][/ROW]
[ROW][C]264[/C][C]4.5[/C][C]2.96028[/C][C]1.53972[/C][/ROW]
[ROW][C]265[/C][C]8[/C][C]5.34241[/C][C]2.65759[/C][/ROW]
[ROW][C]266[/C][C]9[/C][C]8.18999[/C][C]0.810013[/C][/ROW]
[ROW][C]267[/C][C]7.5[/C][C]5.85739[/C][C]1.64261[/C][/ROW]
[ROW][C]268[/C][C]8.5[/C][C]7.32864[/C][C]1.17136[/C][/ROW]
[ROW][C]269[/C][C]7[/C][C]3.85276[/C][C]3.14724[/C][/ROW]
[ROW][C]270[/C][C]9.5[/C][C]9.18174[/C][C]0.318264[/C][/ROW]
[ROW][C]271[/C][C]6.5[/C][C]2.97222[/C][C]3.52778[/C][/ROW]
[ROW][C]272[/C][C]9.5[/C][C]9.33053[/C][C]0.169466[/C][/ROW]
[ROW][C]273[/C][C]6[/C][C]4.12617[/C][C]1.87383[/C][/ROW]
[ROW][C]274[/C][C]8[/C][C]4.69641[/C][C]3.30359[/C][/ROW]
[ROW][C]275[/C][C]9.5[/C][C]7.89798[/C][C]1.60202[/C][/ROW]
[ROW][C]276[/C][C]8[/C][C]6.4814[/C][C]1.5186[/C][/ROW]
[ROW][C]277[/C][C]8[/C][C]5.09562[/C][C]2.90438[/C][/ROW]
[ROW][C]278[/C][C]9[/C][C]NA[/C][C]NA[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266230&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266230&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
17.56.570620.929378
266.25963-0.25963
36.56.472250.0277498
415.9212-4.9212
516.51988-5.51988
65.56.08066-0.580664
78.55.709272.79073
86.56.61273-0.112731
94.55.45264-0.952641
1027.2675-5.2675
1156.01042-1.01042
120.56.22356-5.72356
1355.47715-0.477148
1455.7569-0.756902
152.55.74344-3.24344
1656.08889-1.08889
175.55.96279-0.462791
183.55.8803-2.3803
1936.55192-3.55192
2045.51253-1.51253
210.55.90532-5.40532
226.55.982290.517708
234.55.84975-1.34975
247.55.795391.70461
255.56.02872-0.528717
2645.85648-1.85648
277.56.234891.26511
2876.512230.487771
2946.08308-2.08308
305.55.57794-0.0779351
312.55.66595-3.16595
325.56.32866-0.828663
333.55.80333-2.30333
342.55.82352-3.32352
354.55.79418-1.29418
364.56.22788-1.72788
374.55.86442-1.36442
3866.41265-0.41265
392.56.47708-3.97708
4055.5303-0.530303
4106.58098-6.58098
4256.32745-1.32745
436.55.925510.574487
4455.43504-0.435038
4566.15982-0.159819
464.56.11483-1.61483
475.56.33539-0.835393
4816.22022-5.22022
497.55.689081.81092
5066.38763-0.387625
5155.90198-0.901982
5216.41144-5.41144
5356.24134-1.24134
546.56.082160.417843
5576.25290.747101
564.55.88824-1.38824
5705.7829-5.7829
588.56.050122.44988
593.56.37175-2.87175
607.56.395561.10444
613.56.19854-2.69854
6265.88030.119703
631.55.52909-4.02909
6496.194912.80509
653.56.32072-2.82072
663.56.41023-2.91023
6745.82041-1.82041
686.56.313990.186007
697.55.986611.51339
7066.26181-0.261814
7156.35127-1.35127
725.56.11915-0.619149
733.56.59835-3.09835
747.56.863430.636569
756.55.358071.14193
76NANA0.591572
776.56.50187-0.00187424
786.55.645380.854619
7979.5523-2.5523
803.57.81006-4.31006
811.53.76423-2.26423
8242.486891.51311
837.58.98568-1.48568
844.510.6115-6.1115
8503.01775-3.01775
863.54.42853-0.928527
875.56.85156-1.35156
8856.31828-1.31828
894.58.22695-3.72695
902.50.9789541.52105
917.56.973740.526257
92713.1916-6.19157
9301.83016-1.83016
944.57.6757-3.1757
9538.03484-5.03484
961.54.17501-2.67501
973.57.3821-3.8821
982.53.23489-0.734891
995.53.801511.69849
100813.0119-5.01192
10112.19641-1.19641
10256.43495-1.43495
1034.57.48879-2.98879
10436.08095-3.08095
10531.241621.75838
106811.9194-3.91938
1072.52.136830.363168
108712.9472-5.9472
10905.35156-5.35156
11014.0055-3.0055
1113.54.2361-0.736099
1125.56.35949-0.859495
1135.511.7306-6.2306
1140.5-0.7873111.28731
1157.54.440183.05982
11695.426723.57328
1179.57.705861.79414
1188.58.276110.223895
11975.529031.47097
12084.229083.77092
121109.051320.948675
12274.580662.41934
1238.56.352792.14721
12495.189083.81092
1259.511.6271-2.12709
12643.965210.0347931
12764.008011.99199
12888.59654-0.596541
1295.52.21473.2853
1309.58.165571.33443
1317.56.781030.71897
13275.50491.4951
1337.55.239822.26018
13486.935871.06413
13576.115530.884475
13677.38544-0.385441
13762.17233.8277
1381013.318-3.318
1392.5-0.6423113.14231
14097.802051.19795
14188.60145-0.601454
14263.308852.69115
1438.58.344230.155773
14462.573.43
14596.965212.03479
14685.782552.21745
147910.3509-1.35089
1485.54.812790.687215
14977.84333-0.843332
1505.52.944122.55588
151912.4942-3.49423
1522-0.155462.15546
1538.55.844542.65546
15496.676622.32338
1558.56.084892.41511
15698.224160.775842
1577.53.933073.56693
158106.825933.17407
15998.301130.698871
1607.57.69278-0.192782
16161.879694.12031
16210.58.196412.30359
1638.56.834191.66581
16484.430663.56934
165106.615743.38426
16610.510.27220.227831
1676.52.963083.53692
1689.57.25752.2425
1698.57.631310.86869
1707.58.76665-1.26665
17153.092511.90749
17284.46583.5342
173109.180530.819472
17475.937391.06261
1757.56.344541.15546
1767.53.924593.57541
1779.510.0052-0.505213
17862.005593.99441
179109.387630.612375
18079.84733-2.84733
18133.64356-0.643563
18265.556240.443763
18372.933454.06655
184109.057130.942867
18579.83879-2.83879
1863.52.021381.47862
18784.397983.60202
1881010.7282-0.72816
1895.55.87537-0.375372
19065.517440.482561
1916.56.426110.0738889
1926.53.989312.51069
1938.511.215-2.71501
19440.8833113.11669
1959.58.187571.31243
19686.654231.34577
1978.58.72394-0.223939
1985.54.941990.558012
19974.34122.6588
20097.492041.50796
20186.176491.82351
202109.118160.881839
20387.989020.010977
20464.038841.96116
20588.42278-0.422785
20652.077322.92268
207910.3259-1.32593
2084.53.012541.48746
2098.54.907513.59249
2109.56.900772.59923
2118.57.303921.19608
2127.55.841811.65819
2137.58.22635-0.726355
21453.754771.24523
21574.648182.35182
21689.11394-1.11394
2175.53.447512.05249
2188.54.904113.59589
2199.58.601140.898859
22075.326531.67347
22185.024782.97522
2228.510.8262-2.32622
2233.53.367150.132852
2246.55.723940.776061
2256.51.84064.6594
22610.58.387632.11237
2278.56.729081.77092
22884.135313.86469
229105.742234.25777
230106.479883.52012
2319.56.62952.8705
23295.219943.78006
233108.257191.74281
2347.58.69339-1.19339
2354.56.00369-1.50369
2364.510.314-5.81399
2370.5-0.005169060.505169
2386.57.75017-1.25017
2394.56.44595-1.94595
2405.56.75198-1.25198
24155.0458-0.045802
24267.43653-1.43653
24342.420591.57941
24484.119753.88025
24510.510.5733-0.0733226
2466.54.270652.22935
24785.880612.11939
2488.59.22546-0.725459
2495.54.528720.971283
25078.02872-1.02872
25157.24102-2.24102
2523.54.38703-0.887028
25352.225742.77426
25496.828432.17157
2558.59.49334-0.993338
25651.843623.15638
2579.512.4484-2.94841
25836.94902-3.94902
2591.51.51744-0.0174391
260612.2193-6.21933
2610.51.07726-0.577259
2626.54.932531.56747
2637.59.82805-2.32805
2644.52.960281.53972
26585.342412.65759
26698.189990.810013
2677.55.857391.64261
2688.57.328641.17136
26973.852763.14724
2709.59.181740.318264
2716.52.972223.52778
2729.59.330530.169466
27364.126171.87383
27484.696413.30359
2759.57.897981.60202
27686.48141.5186
27785.095622.90438
2789NANA






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
70.7198640.5602720.280136
80.7235890.5528220.276411
90.6297920.7404160.370208
100.6252240.7495530.374776
110.5249240.9501510.475076
120.5365310.9269370.463469
130.468970.937940.53103
140.373060.7461210.62694
150.3180960.6361920.681904
160.2418030.4836060.758197
170.1826670.3653350.817333
180.1476050.2952110.852395
190.1213720.2427450.878628
200.08765120.1753020.912349
210.1326020.2652040.867398
220.1557980.3115950.844202
230.1168420.2336840.883158
240.1297130.2594260.870287
250.1134780.2269560.886522
260.09400030.1880010.906
270.101310.2026190.89869
280.0826280.1652560.917372
290.06279340.1255870.937207
300.045680.09136010.95432
310.131250.2624990.86875
320.1100760.2201510.889924
330.09170270.1834050.908297
340.1097270.2194530.890273
350.08636750.1727350.913632
360.06748430.1349690.932516
370.05172650.1034530.948274
380.0388230.07764610.961177
390.03450120.06900230.965499
400.02549240.05098490.974508
410.0752380.1504760.924762
420.06125060.1225010.938749
430.05567450.1113490.944326
440.04483980.08967960.95516
450.03590420.07180830.964096
460.02912820.05825650.970872
470.02408360.04816730.975916
480.05155520.103110.948445
490.06536340.1307270.934637
500.05249040.1049810.94751
510.04145220.08290430.958548
520.07455730.1491150.925443
530.06088490.121770.939115
540.05649840.1129970.943502
550.0645970.1291940.935403
560.05282670.1056530.947173
570.1407130.2814250.859287
580.1823150.364630.817685
590.1666720.3333430.833328
600.1772750.3545490.822725
610.1637480.3274960.836252
620.1455980.2911950.854402
630.1901010.3802030.809899
640.2477190.4954380.752281
650.2358250.4716510.764175
660.2218920.4437850.778108
670.2008880.4017770.799112
680.1902130.3804260.809787
690.1919020.3838050.808098
700.1695250.3390490.830475
710.1496760.2993530.850324
720.1307440.2614890.869256
730.1219410.2438820.878059
740.1333510.2667030.866649
750.1186920.2373840.881308
760.1056480.2112960.894352
770.09327510.186550.906725
780.09202690.1840540.907973
790.08710740.1742150.912893
800.1174950.234990.882505
810.105790.211580.89421
820.1091080.2182170.890892
830.09462980.189260.90537
840.175410.350820.82459
850.1702860.3405720.829714
860.1524630.3049260.847537
870.1352130.2704270.864787
880.1187350.2374710.881265
890.1279230.2558460.872077
900.1330530.2661060.866947
910.127810.2556210.87219
920.2417250.483450.758275
930.2224140.4448290.777586
940.2285130.4570270.771487
950.2918550.583710.708145
960.2842880.5685750.715712
970.3085160.6170320.691484
980.286770.573540.71323
990.3067860.6135710.693214
1000.3954530.7909050.604547
1010.372510.7450190.62749
1020.3519020.7038030.648098
1030.3664070.7328140.633593
1040.3788850.7577710.621115
1050.4034710.8069430.596529
1060.4460290.8920590.553971
1070.440390.8807790.55961
1080.6261170.7477650.373883
1090.7439630.5120730.256037
1100.7593440.4813110.240656
1110.7469060.5061870.253094
1120.7345970.5308070.265403
1130.8747770.2504470.125223
1140.8683430.2633140.131657
1150.8925370.2149260.107463
1160.9235120.1529770.0764883
1170.9340490.1319010.0659507
1180.9314980.1370040.0685018
1190.9307090.1385820.069291
1200.9550720.08985630.0449281
1210.9502310.09953880.0497694
1220.9537540.09249190.046246
1230.9560270.08794610.0439731
1240.9701010.05979810.029899
1250.9705870.05882510.0294126
1260.9653060.06938840.0346942
1270.9638210.07235880.0361794
1280.9582630.08347360.0417368
1290.9713750.05724930.0286246
1300.9680950.06381020.0319051
1310.9629380.07412460.0370623
1320.9592940.08141160.0407058
1330.9585130.0829740.041487
1340.9526280.09474460.0473723
1350.9452080.1095850.0547923
1360.9369490.1261020.0630511
1370.9531830.09363380.0468169
1380.9654690.06906160.0345308
1390.9699550.06008930.0300447
1400.9661630.06767350.0338368
1410.9624510.07509730.0375487
1420.9636090.07278140.0363907
1430.9568970.08620530.0431026
1440.9634510.07309710.0365485
1450.9610720.07785610.038928
1460.9603860.07922770.0396138
1470.9570660.08586820.0429341
1480.9494930.1010140.050507
1490.9429670.1140650.0570326
1500.9438560.1122870.0561435
1510.9612430.07751470.0387574
1520.9592170.08156690.0407835
1530.9601810.07963710.0398186
1540.9586450.08271020.0413551
1550.9620380.07592410.037962
1560.9580180.08396410.041982
1570.9656040.0687920.034396
1580.969370.06126080.0306304
1590.9652470.06950660.0347533
1600.9606480.07870380.0393519
1610.9740620.05187520.0259376
1620.9742860.05142770.0257139
1630.9707480.05850430.0292521
1640.9764790.04704270.0235213
1650.9808140.0383730.0191865
1660.9774420.04511630.0225582
1670.9821750.0356510.0178255
1680.9815140.03697110.0184855
1690.978050.04389920.0219496
1700.9768650.04627060.0231353
1710.9748080.05038340.0251917
1720.979250.04149990.0207499
1730.9753460.04930750.0246538
1740.9703570.05928540.0296427
1750.9647580.07048420.0352421
1760.9704840.05903170.0295158
1770.9645110.07097790.0354889
1780.9751030.04979440.0248972
1790.9699890.06002210.0300111
1800.9743340.05133290.0256665
1810.9704730.0590540.029527
1820.9643280.07134450.0356723
1830.974720.05055930.0252796
1840.9698530.06029350.0301467
1850.9768370.04632550.0231628
1860.9727130.05457360.0272868
1870.9767480.04650420.0232521
1880.9739910.05201770.0260089
1890.9699690.06006120.0300306
1900.9641290.07174260.0358713
1910.9575440.08491290.0424565
1920.9547250.09055030.0452751
1930.9655020.06899540.0344977
1940.9660240.06795170.0339758
1950.9592990.08140290.0407014
1960.9512840.09743150.0487158
1970.941260.117480.0587401
1980.9302790.1394430.0697214
1990.9264480.1471040.073552
2000.9143540.1712910.0856456
2010.9104750.1790510.0895253
2020.8941040.2117910.105896
2030.8749510.2500980.125049
2040.8602720.2794570.139728
2050.8415890.3168230.158411
2060.837080.3258390.16292
2070.8250620.3498760.174938
2080.803110.393780.19689
2090.8126240.3747520.187376
2100.8013880.3972240.198612
2110.7740210.4519580.225979
2120.7507010.4985990.249299
2130.7255860.5488280.274414
2140.6935890.6128230.306411
2150.6785690.6428630.321431
2160.6495150.7009710.350485
2170.6251570.7496850.374843
2180.6535360.6929280.346464
2190.6146970.7706050.385303
2200.5805240.8389520.419476
2210.5863690.8272620.413631
2220.6225860.7548270.377414
2230.5794550.8410910.420545
2240.5381370.9237270.461863
2250.6476510.7046980.352349
2260.6198750.760250.380125
2270.5970820.8058350.402918
2280.6156190.7687610.384381
2290.7052760.5894490.294724
2300.7701720.4596560.229828
2310.8016710.3966580.198329
2320.8830940.2338120.116906
2330.8608690.2782620.139131
2340.831940.3361210.16806
2350.8006530.3986930.199347
2360.9054250.189150.0945751
2370.8822570.2354870.117743
2380.8570390.2859220.142961
2390.8375710.3248580.162429
2400.8383930.3232150.161607
2410.8022770.3954460.197723
2420.793040.413920.20696
2430.7537730.4924530.246227
2440.7804510.4390990.219549
2450.7417480.5165040.258252
2460.7059360.5881270.294064
2470.7336110.5327790.266389
2480.6845810.6308370.315419
2490.660840.6783210.33916
2500.6025740.7948520.397426
2510.557910.8841810.44209
2520.4943360.9886710.505664
2530.4671690.9343380.532831
2540.4727650.945530.527235
2550.4164330.8328670.583567
2560.3949840.7899690.605016
2570.4834130.9668260.516587
2580.7841940.4316110.215806
2590.7421640.5156730.257836
2600.9861330.02773430.0138672
2610.9786120.04277580.0213879
2620.9626740.07465270.0373263
2630.9930450.01390970.00695483
2640.9861140.02777160.0138858
2650.9752190.04956180.0247809
2660.963330.07333920.0366696
2670.9335270.1329460.0664731
2680.9114350.177130.0885649
2690.8271010.3457980.172899
2700.9759730.04805480.0240274
2710.9646670.07066660.0353333

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
7 & 0.719864 & 0.560272 & 0.280136 \tabularnewline
8 & 0.723589 & 0.552822 & 0.276411 \tabularnewline
9 & 0.629792 & 0.740416 & 0.370208 \tabularnewline
10 & 0.625224 & 0.749553 & 0.374776 \tabularnewline
11 & 0.524924 & 0.950151 & 0.475076 \tabularnewline
12 & 0.536531 & 0.926937 & 0.463469 \tabularnewline
13 & 0.46897 & 0.93794 & 0.53103 \tabularnewline
14 & 0.37306 & 0.746121 & 0.62694 \tabularnewline
15 & 0.318096 & 0.636192 & 0.681904 \tabularnewline
16 & 0.241803 & 0.483606 & 0.758197 \tabularnewline
17 & 0.182667 & 0.365335 & 0.817333 \tabularnewline
18 & 0.147605 & 0.295211 & 0.852395 \tabularnewline
19 & 0.121372 & 0.242745 & 0.878628 \tabularnewline
20 & 0.0876512 & 0.175302 & 0.912349 \tabularnewline
21 & 0.132602 & 0.265204 & 0.867398 \tabularnewline
22 & 0.155798 & 0.311595 & 0.844202 \tabularnewline
23 & 0.116842 & 0.233684 & 0.883158 \tabularnewline
24 & 0.129713 & 0.259426 & 0.870287 \tabularnewline
25 & 0.113478 & 0.226956 & 0.886522 \tabularnewline
26 & 0.0940003 & 0.188001 & 0.906 \tabularnewline
27 & 0.10131 & 0.202619 & 0.89869 \tabularnewline
28 & 0.082628 & 0.165256 & 0.917372 \tabularnewline
29 & 0.0627934 & 0.125587 & 0.937207 \tabularnewline
30 & 0.04568 & 0.0913601 & 0.95432 \tabularnewline
31 & 0.13125 & 0.262499 & 0.86875 \tabularnewline
32 & 0.110076 & 0.220151 & 0.889924 \tabularnewline
33 & 0.0917027 & 0.183405 & 0.908297 \tabularnewline
34 & 0.109727 & 0.219453 & 0.890273 \tabularnewline
35 & 0.0863675 & 0.172735 & 0.913632 \tabularnewline
36 & 0.0674843 & 0.134969 & 0.932516 \tabularnewline
37 & 0.0517265 & 0.103453 & 0.948274 \tabularnewline
38 & 0.038823 & 0.0776461 & 0.961177 \tabularnewline
39 & 0.0345012 & 0.0690023 & 0.965499 \tabularnewline
40 & 0.0254924 & 0.0509849 & 0.974508 \tabularnewline
41 & 0.075238 & 0.150476 & 0.924762 \tabularnewline
42 & 0.0612506 & 0.122501 & 0.938749 \tabularnewline
43 & 0.0556745 & 0.111349 & 0.944326 \tabularnewline
44 & 0.0448398 & 0.0896796 & 0.95516 \tabularnewline
45 & 0.0359042 & 0.0718083 & 0.964096 \tabularnewline
46 & 0.0291282 & 0.0582565 & 0.970872 \tabularnewline
47 & 0.0240836 & 0.0481673 & 0.975916 \tabularnewline
48 & 0.0515552 & 0.10311 & 0.948445 \tabularnewline
49 & 0.0653634 & 0.130727 & 0.934637 \tabularnewline
50 & 0.0524904 & 0.104981 & 0.94751 \tabularnewline
51 & 0.0414522 & 0.0829043 & 0.958548 \tabularnewline
52 & 0.0745573 & 0.149115 & 0.925443 \tabularnewline
53 & 0.0608849 & 0.12177 & 0.939115 \tabularnewline
54 & 0.0564984 & 0.112997 & 0.943502 \tabularnewline
55 & 0.064597 & 0.129194 & 0.935403 \tabularnewline
56 & 0.0528267 & 0.105653 & 0.947173 \tabularnewline
57 & 0.140713 & 0.281425 & 0.859287 \tabularnewline
58 & 0.182315 & 0.36463 & 0.817685 \tabularnewline
59 & 0.166672 & 0.333343 & 0.833328 \tabularnewline
60 & 0.177275 & 0.354549 & 0.822725 \tabularnewline
61 & 0.163748 & 0.327496 & 0.836252 \tabularnewline
62 & 0.145598 & 0.291195 & 0.854402 \tabularnewline
63 & 0.190101 & 0.380203 & 0.809899 \tabularnewline
64 & 0.247719 & 0.495438 & 0.752281 \tabularnewline
65 & 0.235825 & 0.471651 & 0.764175 \tabularnewline
66 & 0.221892 & 0.443785 & 0.778108 \tabularnewline
67 & 0.200888 & 0.401777 & 0.799112 \tabularnewline
68 & 0.190213 & 0.380426 & 0.809787 \tabularnewline
69 & 0.191902 & 0.383805 & 0.808098 \tabularnewline
70 & 0.169525 & 0.339049 & 0.830475 \tabularnewline
71 & 0.149676 & 0.299353 & 0.850324 \tabularnewline
72 & 0.130744 & 0.261489 & 0.869256 \tabularnewline
73 & 0.121941 & 0.243882 & 0.878059 \tabularnewline
74 & 0.133351 & 0.266703 & 0.866649 \tabularnewline
75 & 0.118692 & 0.237384 & 0.881308 \tabularnewline
76 & 0.105648 & 0.211296 & 0.894352 \tabularnewline
77 & 0.0932751 & 0.18655 & 0.906725 \tabularnewline
78 & 0.0920269 & 0.184054 & 0.907973 \tabularnewline
79 & 0.0871074 & 0.174215 & 0.912893 \tabularnewline
80 & 0.117495 & 0.23499 & 0.882505 \tabularnewline
81 & 0.10579 & 0.21158 & 0.89421 \tabularnewline
82 & 0.109108 & 0.218217 & 0.890892 \tabularnewline
83 & 0.0946298 & 0.18926 & 0.90537 \tabularnewline
84 & 0.17541 & 0.35082 & 0.82459 \tabularnewline
85 & 0.170286 & 0.340572 & 0.829714 \tabularnewline
86 & 0.152463 & 0.304926 & 0.847537 \tabularnewline
87 & 0.135213 & 0.270427 & 0.864787 \tabularnewline
88 & 0.118735 & 0.237471 & 0.881265 \tabularnewline
89 & 0.127923 & 0.255846 & 0.872077 \tabularnewline
90 & 0.133053 & 0.266106 & 0.866947 \tabularnewline
91 & 0.12781 & 0.255621 & 0.87219 \tabularnewline
92 & 0.241725 & 0.48345 & 0.758275 \tabularnewline
93 & 0.222414 & 0.444829 & 0.777586 \tabularnewline
94 & 0.228513 & 0.457027 & 0.771487 \tabularnewline
95 & 0.291855 & 0.58371 & 0.708145 \tabularnewline
96 & 0.284288 & 0.568575 & 0.715712 \tabularnewline
97 & 0.308516 & 0.617032 & 0.691484 \tabularnewline
98 & 0.28677 & 0.57354 & 0.71323 \tabularnewline
99 & 0.306786 & 0.613571 & 0.693214 \tabularnewline
100 & 0.395453 & 0.790905 & 0.604547 \tabularnewline
101 & 0.37251 & 0.745019 & 0.62749 \tabularnewline
102 & 0.351902 & 0.703803 & 0.648098 \tabularnewline
103 & 0.366407 & 0.732814 & 0.633593 \tabularnewline
104 & 0.378885 & 0.757771 & 0.621115 \tabularnewline
105 & 0.403471 & 0.806943 & 0.596529 \tabularnewline
106 & 0.446029 & 0.892059 & 0.553971 \tabularnewline
107 & 0.44039 & 0.880779 & 0.55961 \tabularnewline
108 & 0.626117 & 0.747765 & 0.373883 \tabularnewline
109 & 0.743963 & 0.512073 & 0.256037 \tabularnewline
110 & 0.759344 & 0.481311 & 0.240656 \tabularnewline
111 & 0.746906 & 0.506187 & 0.253094 \tabularnewline
112 & 0.734597 & 0.530807 & 0.265403 \tabularnewline
113 & 0.874777 & 0.250447 & 0.125223 \tabularnewline
114 & 0.868343 & 0.263314 & 0.131657 \tabularnewline
115 & 0.892537 & 0.214926 & 0.107463 \tabularnewline
116 & 0.923512 & 0.152977 & 0.0764883 \tabularnewline
117 & 0.934049 & 0.131901 & 0.0659507 \tabularnewline
118 & 0.931498 & 0.137004 & 0.0685018 \tabularnewline
119 & 0.930709 & 0.138582 & 0.069291 \tabularnewline
120 & 0.955072 & 0.0898563 & 0.0449281 \tabularnewline
121 & 0.950231 & 0.0995388 & 0.0497694 \tabularnewline
122 & 0.953754 & 0.0924919 & 0.046246 \tabularnewline
123 & 0.956027 & 0.0879461 & 0.0439731 \tabularnewline
124 & 0.970101 & 0.0597981 & 0.029899 \tabularnewline
125 & 0.970587 & 0.0588251 & 0.0294126 \tabularnewline
126 & 0.965306 & 0.0693884 & 0.0346942 \tabularnewline
127 & 0.963821 & 0.0723588 & 0.0361794 \tabularnewline
128 & 0.958263 & 0.0834736 & 0.0417368 \tabularnewline
129 & 0.971375 & 0.0572493 & 0.0286246 \tabularnewline
130 & 0.968095 & 0.0638102 & 0.0319051 \tabularnewline
131 & 0.962938 & 0.0741246 & 0.0370623 \tabularnewline
132 & 0.959294 & 0.0814116 & 0.0407058 \tabularnewline
133 & 0.958513 & 0.082974 & 0.041487 \tabularnewline
134 & 0.952628 & 0.0947446 & 0.0473723 \tabularnewline
135 & 0.945208 & 0.109585 & 0.0547923 \tabularnewline
136 & 0.936949 & 0.126102 & 0.0630511 \tabularnewline
137 & 0.953183 & 0.0936338 & 0.0468169 \tabularnewline
138 & 0.965469 & 0.0690616 & 0.0345308 \tabularnewline
139 & 0.969955 & 0.0600893 & 0.0300447 \tabularnewline
140 & 0.966163 & 0.0676735 & 0.0338368 \tabularnewline
141 & 0.962451 & 0.0750973 & 0.0375487 \tabularnewline
142 & 0.963609 & 0.0727814 & 0.0363907 \tabularnewline
143 & 0.956897 & 0.0862053 & 0.0431026 \tabularnewline
144 & 0.963451 & 0.0730971 & 0.0365485 \tabularnewline
145 & 0.961072 & 0.0778561 & 0.038928 \tabularnewline
146 & 0.960386 & 0.0792277 & 0.0396138 \tabularnewline
147 & 0.957066 & 0.0858682 & 0.0429341 \tabularnewline
148 & 0.949493 & 0.101014 & 0.050507 \tabularnewline
149 & 0.942967 & 0.114065 & 0.0570326 \tabularnewline
150 & 0.943856 & 0.112287 & 0.0561435 \tabularnewline
151 & 0.961243 & 0.0775147 & 0.0387574 \tabularnewline
152 & 0.959217 & 0.0815669 & 0.0407835 \tabularnewline
153 & 0.960181 & 0.0796371 & 0.0398186 \tabularnewline
154 & 0.958645 & 0.0827102 & 0.0413551 \tabularnewline
155 & 0.962038 & 0.0759241 & 0.037962 \tabularnewline
156 & 0.958018 & 0.0839641 & 0.041982 \tabularnewline
157 & 0.965604 & 0.068792 & 0.034396 \tabularnewline
158 & 0.96937 & 0.0612608 & 0.0306304 \tabularnewline
159 & 0.965247 & 0.0695066 & 0.0347533 \tabularnewline
160 & 0.960648 & 0.0787038 & 0.0393519 \tabularnewline
161 & 0.974062 & 0.0518752 & 0.0259376 \tabularnewline
162 & 0.974286 & 0.0514277 & 0.0257139 \tabularnewline
163 & 0.970748 & 0.0585043 & 0.0292521 \tabularnewline
164 & 0.976479 & 0.0470427 & 0.0235213 \tabularnewline
165 & 0.980814 & 0.038373 & 0.0191865 \tabularnewline
166 & 0.977442 & 0.0451163 & 0.0225582 \tabularnewline
167 & 0.982175 & 0.035651 & 0.0178255 \tabularnewline
168 & 0.981514 & 0.0369711 & 0.0184855 \tabularnewline
169 & 0.97805 & 0.0438992 & 0.0219496 \tabularnewline
170 & 0.976865 & 0.0462706 & 0.0231353 \tabularnewline
171 & 0.974808 & 0.0503834 & 0.0251917 \tabularnewline
172 & 0.97925 & 0.0414999 & 0.0207499 \tabularnewline
173 & 0.975346 & 0.0493075 & 0.0246538 \tabularnewline
174 & 0.970357 & 0.0592854 & 0.0296427 \tabularnewline
175 & 0.964758 & 0.0704842 & 0.0352421 \tabularnewline
176 & 0.970484 & 0.0590317 & 0.0295158 \tabularnewline
177 & 0.964511 & 0.0709779 & 0.0354889 \tabularnewline
178 & 0.975103 & 0.0497944 & 0.0248972 \tabularnewline
179 & 0.969989 & 0.0600221 & 0.0300111 \tabularnewline
180 & 0.974334 & 0.0513329 & 0.0256665 \tabularnewline
181 & 0.970473 & 0.059054 & 0.029527 \tabularnewline
182 & 0.964328 & 0.0713445 & 0.0356723 \tabularnewline
183 & 0.97472 & 0.0505593 & 0.0252796 \tabularnewline
184 & 0.969853 & 0.0602935 & 0.0301467 \tabularnewline
185 & 0.976837 & 0.0463255 & 0.0231628 \tabularnewline
186 & 0.972713 & 0.0545736 & 0.0272868 \tabularnewline
187 & 0.976748 & 0.0465042 & 0.0232521 \tabularnewline
188 & 0.973991 & 0.0520177 & 0.0260089 \tabularnewline
189 & 0.969969 & 0.0600612 & 0.0300306 \tabularnewline
190 & 0.964129 & 0.0717426 & 0.0358713 \tabularnewline
191 & 0.957544 & 0.0849129 & 0.0424565 \tabularnewline
192 & 0.954725 & 0.0905503 & 0.0452751 \tabularnewline
193 & 0.965502 & 0.0689954 & 0.0344977 \tabularnewline
194 & 0.966024 & 0.0679517 & 0.0339758 \tabularnewline
195 & 0.959299 & 0.0814029 & 0.0407014 \tabularnewline
196 & 0.951284 & 0.0974315 & 0.0487158 \tabularnewline
197 & 0.94126 & 0.11748 & 0.0587401 \tabularnewline
198 & 0.930279 & 0.139443 & 0.0697214 \tabularnewline
199 & 0.926448 & 0.147104 & 0.073552 \tabularnewline
200 & 0.914354 & 0.171291 & 0.0856456 \tabularnewline
201 & 0.910475 & 0.179051 & 0.0895253 \tabularnewline
202 & 0.894104 & 0.211791 & 0.105896 \tabularnewline
203 & 0.874951 & 0.250098 & 0.125049 \tabularnewline
204 & 0.860272 & 0.279457 & 0.139728 \tabularnewline
205 & 0.841589 & 0.316823 & 0.158411 \tabularnewline
206 & 0.83708 & 0.325839 & 0.16292 \tabularnewline
207 & 0.825062 & 0.349876 & 0.174938 \tabularnewline
208 & 0.80311 & 0.39378 & 0.19689 \tabularnewline
209 & 0.812624 & 0.374752 & 0.187376 \tabularnewline
210 & 0.801388 & 0.397224 & 0.198612 \tabularnewline
211 & 0.774021 & 0.451958 & 0.225979 \tabularnewline
212 & 0.750701 & 0.498599 & 0.249299 \tabularnewline
213 & 0.725586 & 0.548828 & 0.274414 \tabularnewline
214 & 0.693589 & 0.612823 & 0.306411 \tabularnewline
215 & 0.678569 & 0.642863 & 0.321431 \tabularnewline
216 & 0.649515 & 0.700971 & 0.350485 \tabularnewline
217 & 0.625157 & 0.749685 & 0.374843 \tabularnewline
218 & 0.653536 & 0.692928 & 0.346464 \tabularnewline
219 & 0.614697 & 0.770605 & 0.385303 \tabularnewline
220 & 0.580524 & 0.838952 & 0.419476 \tabularnewline
221 & 0.586369 & 0.827262 & 0.413631 \tabularnewline
222 & 0.622586 & 0.754827 & 0.377414 \tabularnewline
223 & 0.579455 & 0.841091 & 0.420545 \tabularnewline
224 & 0.538137 & 0.923727 & 0.461863 \tabularnewline
225 & 0.647651 & 0.704698 & 0.352349 \tabularnewline
226 & 0.619875 & 0.76025 & 0.380125 \tabularnewline
227 & 0.597082 & 0.805835 & 0.402918 \tabularnewline
228 & 0.615619 & 0.768761 & 0.384381 \tabularnewline
229 & 0.705276 & 0.589449 & 0.294724 \tabularnewline
230 & 0.770172 & 0.459656 & 0.229828 \tabularnewline
231 & 0.801671 & 0.396658 & 0.198329 \tabularnewline
232 & 0.883094 & 0.233812 & 0.116906 \tabularnewline
233 & 0.860869 & 0.278262 & 0.139131 \tabularnewline
234 & 0.83194 & 0.336121 & 0.16806 \tabularnewline
235 & 0.800653 & 0.398693 & 0.199347 \tabularnewline
236 & 0.905425 & 0.18915 & 0.0945751 \tabularnewline
237 & 0.882257 & 0.235487 & 0.117743 \tabularnewline
238 & 0.857039 & 0.285922 & 0.142961 \tabularnewline
239 & 0.837571 & 0.324858 & 0.162429 \tabularnewline
240 & 0.838393 & 0.323215 & 0.161607 \tabularnewline
241 & 0.802277 & 0.395446 & 0.197723 \tabularnewline
242 & 0.79304 & 0.41392 & 0.20696 \tabularnewline
243 & 0.753773 & 0.492453 & 0.246227 \tabularnewline
244 & 0.780451 & 0.439099 & 0.219549 \tabularnewline
245 & 0.741748 & 0.516504 & 0.258252 \tabularnewline
246 & 0.705936 & 0.588127 & 0.294064 \tabularnewline
247 & 0.733611 & 0.532779 & 0.266389 \tabularnewline
248 & 0.684581 & 0.630837 & 0.315419 \tabularnewline
249 & 0.66084 & 0.678321 & 0.33916 \tabularnewline
250 & 0.602574 & 0.794852 & 0.397426 \tabularnewline
251 & 0.55791 & 0.884181 & 0.44209 \tabularnewline
252 & 0.494336 & 0.988671 & 0.505664 \tabularnewline
253 & 0.467169 & 0.934338 & 0.532831 \tabularnewline
254 & 0.472765 & 0.94553 & 0.527235 \tabularnewline
255 & 0.416433 & 0.832867 & 0.583567 \tabularnewline
256 & 0.394984 & 0.789969 & 0.605016 \tabularnewline
257 & 0.483413 & 0.966826 & 0.516587 \tabularnewline
258 & 0.784194 & 0.431611 & 0.215806 \tabularnewline
259 & 0.742164 & 0.515673 & 0.257836 \tabularnewline
260 & 0.986133 & 0.0277343 & 0.0138672 \tabularnewline
261 & 0.978612 & 0.0427758 & 0.0213879 \tabularnewline
262 & 0.962674 & 0.0746527 & 0.0373263 \tabularnewline
263 & 0.993045 & 0.0139097 & 0.00695483 \tabularnewline
264 & 0.986114 & 0.0277716 & 0.0138858 \tabularnewline
265 & 0.975219 & 0.0495618 & 0.0247809 \tabularnewline
266 & 0.96333 & 0.0733392 & 0.0366696 \tabularnewline
267 & 0.933527 & 0.132946 & 0.0664731 \tabularnewline
268 & 0.911435 & 0.17713 & 0.0885649 \tabularnewline
269 & 0.827101 & 0.345798 & 0.172899 \tabularnewline
270 & 0.975973 & 0.0480548 & 0.0240274 \tabularnewline
271 & 0.964667 & 0.0706666 & 0.0353333 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266230&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]7[/C][C]0.719864[/C][C]0.560272[/C][C]0.280136[/C][/ROW]
[ROW][C]8[/C][C]0.723589[/C][C]0.552822[/C][C]0.276411[/C][/ROW]
[ROW][C]9[/C][C]0.629792[/C][C]0.740416[/C][C]0.370208[/C][/ROW]
[ROW][C]10[/C][C]0.625224[/C][C]0.749553[/C][C]0.374776[/C][/ROW]
[ROW][C]11[/C][C]0.524924[/C][C]0.950151[/C][C]0.475076[/C][/ROW]
[ROW][C]12[/C][C]0.536531[/C][C]0.926937[/C][C]0.463469[/C][/ROW]
[ROW][C]13[/C][C]0.46897[/C][C]0.93794[/C][C]0.53103[/C][/ROW]
[ROW][C]14[/C][C]0.37306[/C][C]0.746121[/C][C]0.62694[/C][/ROW]
[ROW][C]15[/C][C]0.318096[/C][C]0.636192[/C][C]0.681904[/C][/ROW]
[ROW][C]16[/C][C]0.241803[/C][C]0.483606[/C][C]0.758197[/C][/ROW]
[ROW][C]17[/C][C]0.182667[/C][C]0.365335[/C][C]0.817333[/C][/ROW]
[ROW][C]18[/C][C]0.147605[/C][C]0.295211[/C][C]0.852395[/C][/ROW]
[ROW][C]19[/C][C]0.121372[/C][C]0.242745[/C][C]0.878628[/C][/ROW]
[ROW][C]20[/C][C]0.0876512[/C][C]0.175302[/C][C]0.912349[/C][/ROW]
[ROW][C]21[/C][C]0.132602[/C][C]0.265204[/C][C]0.867398[/C][/ROW]
[ROW][C]22[/C][C]0.155798[/C][C]0.311595[/C][C]0.844202[/C][/ROW]
[ROW][C]23[/C][C]0.116842[/C][C]0.233684[/C][C]0.883158[/C][/ROW]
[ROW][C]24[/C][C]0.129713[/C][C]0.259426[/C][C]0.870287[/C][/ROW]
[ROW][C]25[/C][C]0.113478[/C][C]0.226956[/C][C]0.886522[/C][/ROW]
[ROW][C]26[/C][C]0.0940003[/C][C]0.188001[/C][C]0.906[/C][/ROW]
[ROW][C]27[/C][C]0.10131[/C][C]0.202619[/C][C]0.89869[/C][/ROW]
[ROW][C]28[/C][C]0.082628[/C][C]0.165256[/C][C]0.917372[/C][/ROW]
[ROW][C]29[/C][C]0.0627934[/C][C]0.125587[/C][C]0.937207[/C][/ROW]
[ROW][C]30[/C][C]0.04568[/C][C]0.0913601[/C][C]0.95432[/C][/ROW]
[ROW][C]31[/C][C]0.13125[/C][C]0.262499[/C][C]0.86875[/C][/ROW]
[ROW][C]32[/C][C]0.110076[/C][C]0.220151[/C][C]0.889924[/C][/ROW]
[ROW][C]33[/C][C]0.0917027[/C][C]0.183405[/C][C]0.908297[/C][/ROW]
[ROW][C]34[/C][C]0.109727[/C][C]0.219453[/C][C]0.890273[/C][/ROW]
[ROW][C]35[/C][C]0.0863675[/C][C]0.172735[/C][C]0.913632[/C][/ROW]
[ROW][C]36[/C][C]0.0674843[/C][C]0.134969[/C][C]0.932516[/C][/ROW]
[ROW][C]37[/C][C]0.0517265[/C][C]0.103453[/C][C]0.948274[/C][/ROW]
[ROW][C]38[/C][C]0.038823[/C][C]0.0776461[/C][C]0.961177[/C][/ROW]
[ROW][C]39[/C][C]0.0345012[/C][C]0.0690023[/C][C]0.965499[/C][/ROW]
[ROW][C]40[/C][C]0.0254924[/C][C]0.0509849[/C][C]0.974508[/C][/ROW]
[ROW][C]41[/C][C]0.075238[/C][C]0.150476[/C][C]0.924762[/C][/ROW]
[ROW][C]42[/C][C]0.0612506[/C][C]0.122501[/C][C]0.938749[/C][/ROW]
[ROW][C]43[/C][C]0.0556745[/C][C]0.111349[/C][C]0.944326[/C][/ROW]
[ROW][C]44[/C][C]0.0448398[/C][C]0.0896796[/C][C]0.95516[/C][/ROW]
[ROW][C]45[/C][C]0.0359042[/C][C]0.0718083[/C][C]0.964096[/C][/ROW]
[ROW][C]46[/C][C]0.0291282[/C][C]0.0582565[/C][C]0.970872[/C][/ROW]
[ROW][C]47[/C][C]0.0240836[/C][C]0.0481673[/C][C]0.975916[/C][/ROW]
[ROW][C]48[/C][C]0.0515552[/C][C]0.10311[/C][C]0.948445[/C][/ROW]
[ROW][C]49[/C][C]0.0653634[/C][C]0.130727[/C][C]0.934637[/C][/ROW]
[ROW][C]50[/C][C]0.0524904[/C][C]0.104981[/C][C]0.94751[/C][/ROW]
[ROW][C]51[/C][C]0.0414522[/C][C]0.0829043[/C][C]0.958548[/C][/ROW]
[ROW][C]52[/C][C]0.0745573[/C][C]0.149115[/C][C]0.925443[/C][/ROW]
[ROW][C]53[/C][C]0.0608849[/C][C]0.12177[/C][C]0.939115[/C][/ROW]
[ROW][C]54[/C][C]0.0564984[/C][C]0.112997[/C][C]0.943502[/C][/ROW]
[ROW][C]55[/C][C]0.064597[/C][C]0.129194[/C][C]0.935403[/C][/ROW]
[ROW][C]56[/C][C]0.0528267[/C][C]0.105653[/C][C]0.947173[/C][/ROW]
[ROW][C]57[/C][C]0.140713[/C][C]0.281425[/C][C]0.859287[/C][/ROW]
[ROW][C]58[/C][C]0.182315[/C][C]0.36463[/C][C]0.817685[/C][/ROW]
[ROW][C]59[/C][C]0.166672[/C][C]0.333343[/C][C]0.833328[/C][/ROW]
[ROW][C]60[/C][C]0.177275[/C][C]0.354549[/C][C]0.822725[/C][/ROW]
[ROW][C]61[/C][C]0.163748[/C][C]0.327496[/C][C]0.836252[/C][/ROW]
[ROW][C]62[/C][C]0.145598[/C][C]0.291195[/C][C]0.854402[/C][/ROW]
[ROW][C]63[/C][C]0.190101[/C][C]0.380203[/C][C]0.809899[/C][/ROW]
[ROW][C]64[/C][C]0.247719[/C][C]0.495438[/C][C]0.752281[/C][/ROW]
[ROW][C]65[/C][C]0.235825[/C][C]0.471651[/C][C]0.764175[/C][/ROW]
[ROW][C]66[/C][C]0.221892[/C][C]0.443785[/C][C]0.778108[/C][/ROW]
[ROW][C]67[/C][C]0.200888[/C][C]0.401777[/C][C]0.799112[/C][/ROW]
[ROW][C]68[/C][C]0.190213[/C][C]0.380426[/C][C]0.809787[/C][/ROW]
[ROW][C]69[/C][C]0.191902[/C][C]0.383805[/C][C]0.808098[/C][/ROW]
[ROW][C]70[/C][C]0.169525[/C][C]0.339049[/C][C]0.830475[/C][/ROW]
[ROW][C]71[/C][C]0.149676[/C][C]0.299353[/C][C]0.850324[/C][/ROW]
[ROW][C]72[/C][C]0.130744[/C][C]0.261489[/C][C]0.869256[/C][/ROW]
[ROW][C]73[/C][C]0.121941[/C][C]0.243882[/C][C]0.878059[/C][/ROW]
[ROW][C]74[/C][C]0.133351[/C][C]0.266703[/C][C]0.866649[/C][/ROW]
[ROW][C]75[/C][C]0.118692[/C][C]0.237384[/C][C]0.881308[/C][/ROW]
[ROW][C]76[/C][C]0.105648[/C][C]0.211296[/C][C]0.894352[/C][/ROW]
[ROW][C]77[/C][C]0.0932751[/C][C]0.18655[/C][C]0.906725[/C][/ROW]
[ROW][C]78[/C][C]0.0920269[/C][C]0.184054[/C][C]0.907973[/C][/ROW]
[ROW][C]79[/C][C]0.0871074[/C][C]0.174215[/C][C]0.912893[/C][/ROW]
[ROW][C]80[/C][C]0.117495[/C][C]0.23499[/C][C]0.882505[/C][/ROW]
[ROW][C]81[/C][C]0.10579[/C][C]0.21158[/C][C]0.89421[/C][/ROW]
[ROW][C]82[/C][C]0.109108[/C][C]0.218217[/C][C]0.890892[/C][/ROW]
[ROW][C]83[/C][C]0.0946298[/C][C]0.18926[/C][C]0.90537[/C][/ROW]
[ROW][C]84[/C][C]0.17541[/C][C]0.35082[/C][C]0.82459[/C][/ROW]
[ROW][C]85[/C][C]0.170286[/C][C]0.340572[/C][C]0.829714[/C][/ROW]
[ROW][C]86[/C][C]0.152463[/C][C]0.304926[/C][C]0.847537[/C][/ROW]
[ROW][C]87[/C][C]0.135213[/C][C]0.270427[/C][C]0.864787[/C][/ROW]
[ROW][C]88[/C][C]0.118735[/C][C]0.237471[/C][C]0.881265[/C][/ROW]
[ROW][C]89[/C][C]0.127923[/C][C]0.255846[/C][C]0.872077[/C][/ROW]
[ROW][C]90[/C][C]0.133053[/C][C]0.266106[/C][C]0.866947[/C][/ROW]
[ROW][C]91[/C][C]0.12781[/C][C]0.255621[/C][C]0.87219[/C][/ROW]
[ROW][C]92[/C][C]0.241725[/C][C]0.48345[/C][C]0.758275[/C][/ROW]
[ROW][C]93[/C][C]0.222414[/C][C]0.444829[/C][C]0.777586[/C][/ROW]
[ROW][C]94[/C][C]0.228513[/C][C]0.457027[/C][C]0.771487[/C][/ROW]
[ROW][C]95[/C][C]0.291855[/C][C]0.58371[/C][C]0.708145[/C][/ROW]
[ROW][C]96[/C][C]0.284288[/C][C]0.568575[/C][C]0.715712[/C][/ROW]
[ROW][C]97[/C][C]0.308516[/C][C]0.617032[/C][C]0.691484[/C][/ROW]
[ROW][C]98[/C][C]0.28677[/C][C]0.57354[/C][C]0.71323[/C][/ROW]
[ROW][C]99[/C][C]0.306786[/C][C]0.613571[/C][C]0.693214[/C][/ROW]
[ROW][C]100[/C][C]0.395453[/C][C]0.790905[/C][C]0.604547[/C][/ROW]
[ROW][C]101[/C][C]0.37251[/C][C]0.745019[/C][C]0.62749[/C][/ROW]
[ROW][C]102[/C][C]0.351902[/C][C]0.703803[/C][C]0.648098[/C][/ROW]
[ROW][C]103[/C][C]0.366407[/C][C]0.732814[/C][C]0.633593[/C][/ROW]
[ROW][C]104[/C][C]0.378885[/C][C]0.757771[/C][C]0.621115[/C][/ROW]
[ROW][C]105[/C][C]0.403471[/C][C]0.806943[/C][C]0.596529[/C][/ROW]
[ROW][C]106[/C][C]0.446029[/C][C]0.892059[/C][C]0.553971[/C][/ROW]
[ROW][C]107[/C][C]0.44039[/C][C]0.880779[/C][C]0.55961[/C][/ROW]
[ROW][C]108[/C][C]0.626117[/C][C]0.747765[/C][C]0.373883[/C][/ROW]
[ROW][C]109[/C][C]0.743963[/C][C]0.512073[/C][C]0.256037[/C][/ROW]
[ROW][C]110[/C][C]0.759344[/C][C]0.481311[/C][C]0.240656[/C][/ROW]
[ROW][C]111[/C][C]0.746906[/C][C]0.506187[/C][C]0.253094[/C][/ROW]
[ROW][C]112[/C][C]0.734597[/C][C]0.530807[/C][C]0.265403[/C][/ROW]
[ROW][C]113[/C][C]0.874777[/C][C]0.250447[/C][C]0.125223[/C][/ROW]
[ROW][C]114[/C][C]0.868343[/C][C]0.263314[/C][C]0.131657[/C][/ROW]
[ROW][C]115[/C][C]0.892537[/C][C]0.214926[/C][C]0.107463[/C][/ROW]
[ROW][C]116[/C][C]0.923512[/C][C]0.152977[/C][C]0.0764883[/C][/ROW]
[ROW][C]117[/C][C]0.934049[/C][C]0.131901[/C][C]0.0659507[/C][/ROW]
[ROW][C]118[/C][C]0.931498[/C][C]0.137004[/C][C]0.0685018[/C][/ROW]
[ROW][C]119[/C][C]0.930709[/C][C]0.138582[/C][C]0.069291[/C][/ROW]
[ROW][C]120[/C][C]0.955072[/C][C]0.0898563[/C][C]0.0449281[/C][/ROW]
[ROW][C]121[/C][C]0.950231[/C][C]0.0995388[/C][C]0.0497694[/C][/ROW]
[ROW][C]122[/C][C]0.953754[/C][C]0.0924919[/C][C]0.046246[/C][/ROW]
[ROW][C]123[/C][C]0.956027[/C][C]0.0879461[/C][C]0.0439731[/C][/ROW]
[ROW][C]124[/C][C]0.970101[/C][C]0.0597981[/C][C]0.029899[/C][/ROW]
[ROW][C]125[/C][C]0.970587[/C][C]0.0588251[/C][C]0.0294126[/C][/ROW]
[ROW][C]126[/C][C]0.965306[/C][C]0.0693884[/C][C]0.0346942[/C][/ROW]
[ROW][C]127[/C][C]0.963821[/C][C]0.0723588[/C][C]0.0361794[/C][/ROW]
[ROW][C]128[/C][C]0.958263[/C][C]0.0834736[/C][C]0.0417368[/C][/ROW]
[ROW][C]129[/C][C]0.971375[/C][C]0.0572493[/C][C]0.0286246[/C][/ROW]
[ROW][C]130[/C][C]0.968095[/C][C]0.0638102[/C][C]0.0319051[/C][/ROW]
[ROW][C]131[/C][C]0.962938[/C][C]0.0741246[/C][C]0.0370623[/C][/ROW]
[ROW][C]132[/C][C]0.959294[/C][C]0.0814116[/C][C]0.0407058[/C][/ROW]
[ROW][C]133[/C][C]0.958513[/C][C]0.082974[/C][C]0.041487[/C][/ROW]
[ROW][C]134[/C][C]0.952628[/C][C]0.0947446[/C][C]0.0473723[/C][/ROW]
[ROW][C]135[/C][C]0.945208[/C][C]0.109585[/C][C]0.0547923[/C][/ROW]
[ROW][C]136[/C][C]0.936949[/C][C]0.126102[/C][C]0.0630511[/C][/ROW]
[ROW][C]137[/C][C]0.953183[/C][C]0.0936338[/C][C]0.0468169[/C][/ROW]
[ROW][C]138[/C][C]0.965469[/C][C]0.0690616[/C][C]0.0345308[/C][/ROW]
[ROW][C]139[/C][C]0.969955[/C][C]0.0600893[/C][C]0.0300447[/C][/ROW]
[ROW][C]140[/C][C]0.966163[/C][C]0.0676735[/C][C]0.0338368[/C][/ROW]
[ROW][C]141[/C][C]0.962451[/C][C]0.0750973[/C][C]0.0375487[/C][/ROW]
[ROW][C]142[/C][C]0.963609[/C][C]0.0727814[/C][C]0.0363907[/C][/ROW]
[ROW][C]143[/C][C]0.956897[/C][C]0.0862053[/C][C]0.0431026[/C][/ROW]
[ROW][C]144[/C][C]0.963451[/C][C]0.0730971[/C][C]0.0365485[/C][/ROW]
[ROW][C]145[/C][C]0.961072[/C][C]0.0778561[/C][C]0.038928[/C][/ROW]
[ROW][C]146[/C][C]0.960386[/C][C]0.0792277[/C][C]0.0396138[/C][/ROW]
[ROW][C]147[/C][C]0.957066[/C][C]0.0858682[/C][C]0.0429341[/C][/ROW]
[ROW][C]148[/C][C]0.949493[/C][C]0.101014[/C][C]0.050507[/C][/ROW]
[ROW][C]149[/C][C]0.942967[/C][C]0.114065[/C][C]0.0570326[/C][/ROW]
[ROW][C]150[/C][C]0.943856[/C][C]0.112287[/C][C]0.0561435[/C][/ROW]
[ROW][C]151[/C][C]0.961243[/C][C]0.0775147[/C][C]0.0387574[/C][/ROW]
[ROW][C]152[/C][C]0.959217[/C][C]0.0815669[/C][C]0.0407835[/C][/ROW]
[ROW][C]153[/C][C]0.960181[/C][C]0.0796371[/C][C]0.0398186[/C][/ROW]
[ROW][C]154[/C][C]0.958645[/C][C]0.0827102[/C][C]0.0413551[/C][/ROW]
[ROW][C]155[/C][C]0.962038[/C][C]0.0759241[/C][C]0.037962[/C][/ROW]
[ROW][C]156[/C][C]0.958018[/C][C]0.0839641[/C][C]0.041982[/C][/ROW]
[ROW][C]157[/C][C]0.965604[/C][C]0.068792[/C][C]0.034396[/C][/ROW]
[ROW][C]158[/C][C]0.96937[/C][C]0.0612608[/C][C]0.0306304[/C][/ROW]
[ROW][C]159[/C][C]0.965247[/C][C]0.0695066[/C][C]0.0347533[/C][/ROW]
[ROW][C]160[/C][C]0.960648[/C][C]0.0787038[/C][C]0.0393519[/C][/ROW]
[ROW][C]161[/C][C]0.974062[/C][C]0.0518752[/C][C]0.0259376[/C][/ROW]
[ROW][C]162[/C][C]0.974286[/C][C]0.0514277[/C][C]0.0257139[/C][/ROW]
[ROW][C]163[/C][C]0.970748[/C][C]0.0585043[/C][C]0.0292521[/C][/ROW]
[ROW][C]164[/C][C]0.976479[/C][C]0.0470427[/C][C]0.0235213[/C][/ROW]
[ROW][C]165[/C][C]0.980814[/C][C]0.038373[/C][C]0.0191865[/C][/ROW]
[ROW][C]166[/C][C]0.977442[/C][C]0.0451163[/C][C]0.0225582[/C][/ROW]
[ROW][C]167[/C][C]0.982175[/C][C]0.035651[/C][C]0.0178255[/C][/ROW]
[ROW][C]168[/C][C]0.981514[/C][C]0.0369711[/C][C]0.0184855[/C][/ROW]
[ROW][C]169[/C][C]0.97805[/C][C]0.0438992[/C][C]0.0219496[/C][/ROW]
[ROW][C]170[/C][C]0.976865[/C][C]0.0462706[/C][C]0.0231353[/C][/ROW]
[ROW][C]171[/C][C]0.974808[/C][C]0.0503834[/C][C]0.0251917[/C][/ROW]
[ROW][C]172[/C][C]0.97925[/C][C]0.0414999[/C][C]0.0207499[/C][/ROW]
[ROW][C]173[/C][C]0.975346[/C][C]0.0493075[/C][C]0.0246538[/C][/ROW]
[ROW][C]174[/C][C]0.970357[/C][C]0.0592854[/C][C]0.0296427[/C][/ROW]
[ROW][C]175[/C][C]0.964758[/C][C]0.0704842[/C][C]0.0352421[/C][/ROW]
[ROW][C]176[/C][C]0.970484[/C][C]0.0590317[/C][C]0.0295158[/C][/ROW]
[ROW][C]177[/C][C]0.964511[/C][C]0.0709779[/C][C]0.0354889[/C][/ROW]
[ROW][C]178[/C][C]0.975103[/C][C]0.0497944[/C][C]0.0248972[/C][/ROW]
[ROW][C]179[/C][C]0.969989[/C][C]0.0600221[/C][C]0.0300111[/C][/ROW]
[ROW][C]180[/C][C]0.974334[/C][C]0.0513329[/C][C]0.0256665[/C][/ROW]
[ROW][C]181[/C][C]0.970473[/C][C]0.059054[/C][C]0.029527[/C][/ROW]
[ROW][C]182[/C][C]0.964328[/C][C]0.0713445[/C][C]0.0356723[/C][/ROW]
[ROW][C]183[/C][C]0.97472[/C][C]0.0505593[/C][C]0.0252796[/C][/ROW]
[ROW][C]184[/C][C]0.969853[/C][C]0.0602935[/C][C]0.0301467[/C][/ROW]
[ROW][C]185[/C][C]0.976837[/C][C]0.0463255[/C][C]0.0231628[/C][/ROW]
[ROW][C]186[/C][C]0.972713[/C][C]0.0545736[/C][C]0.0272868[/C][/ROW]
[ROW][C]187[/C][C]0.976748[/C][C]0.0465042[/C][C]0.0232521[/C][/ROW]
[ROW][C]188[/C][C]0.973991[/C][C]0.0520177[/C][C]0.0260089[/C][/ROW]
[ROW][C]189[/C][C]0.969969[/C][C]0.0600612[/C][C]0.0300306[/C][/ROW]
[ROW][C]190[/C][C]0.964129[/C][C]0.0717426[/C][C]0.0358713[/C][/ROW]
[ROW][C]191[/C][C]0.957544[/C][C]0.0849129[/C][C]0.0424565[/C][/ROW]
[ROW][C]192[/C][C]0.954725[/C][C]0.0905503[/C][C]0.0452751[/C][/ROW]
[ROW][C]193[/C][C]0.965502[/C][C]0.0689954[/C][C]0.0344977[/C][/ROW]
[ROW][C]194[/C][C]0.966024[/C][C]0.0679517[/C][C]0.0339758[/C][/ROW]
[ROW][C]195[/C][C]0.959299[/C][C]0.0814029[/C][C]0.0407014[/C][/ROW]
[ROW][C]196[/C][C]0.951284[/C][C]0.0974315[/C][C]0.0487158[/C][/ROW]
[ROW][C]197[/C][C]0.94126[/C][C]0.11748[/C][C]0.0587401[/C][/ROW]
[ROW][C]198[/C][C]0.930279[/C][C]0.139443[/C][C]0.0697214[/C][/ROW]
[ROW][C]199[/C][C]0.926448[/C][C]0.147104[/C][C]0.073552[/C][/ROW]
[ROW][C]200[/C][C]0.914354[/C][C]0.171291[/C][C]0.0856456[/C][/ROW]
[ROW][C]201[/C][C]0.910475[/C][C]0.179051[/C][C]0.0895253[/C][/ROW]
[ROW][C]202[/C][C]0.894104[/C][C]0.211791[/C][C]0.105896[/C][/ROW]
[ROW][C]203[/C][C]0.874951[/C][C]0.250098[/C][C]0.125049[/C][/ROW]
[ROW][C]204[/C][C]0.860272[/C][C]0.279457[/C][C]0.139728[/C][/ROW]
[ROW][C]205[/C][C]0.841589[/C][C]0.316823[/C][C]0.158411[/C][/ROW]
[ROW][C]206[/C][C]0.83708[/C][C]0.325839[/C][C]0.16292[/C][/ROW]
[ROW][C]207[/C][C]0.825062[/C][C]0.349876[/C][C]0.174938[/C][/ROW]
[ROW][C]208[/C][C]0.80311[/C][C]0.39378[/C][C]0.19689[/C][/ROW]
[ROW][C]209[/C][C]0.812624[/C][C]0.374752[/C][C]0.187376[/C][/ROW]
[ROW][C]210[/C][C]0.801388[/C][C]0.397224[/C][C]0.198612[/C][/ROW]
[ROW][C]211[/C][C]0.774021[/C][C]0.451958[/C][C]0.225979[/C][/ROW]
[ROW][C]212[/C][C]0.750701[/C][C]0.498599[/C][C]0.249299[/C][/ROW]
[ROW][C]213[/C][C]0.725586[/C][C]0.548828[/C][C]0.274414[/C][/ROW]
[ROW][C]214[/C][C]0.693589[/C][C]0.612823[/C][C]0.306411[/C][/ROW]
[ROW][C]215[/C][C]0.678569[/C][C]0.642863[/C][C]0.321431[/C][/ROW]
[ROW][C]216[/C][C]0.649515[/C][C]0.700971[/C][C]0.350485[/C][/ROW]
[ROW][C]217[/C][C]0.625157[/C][C]0.749685[/C][C]0.374843[/C][/ROW]
[ROW][C]218[/C][C]0.653536[/C][C]0.692928[/C][C]0.346464[/C][/ROW]
[ROW][C]219[/C][C]0.614697[/C][C]0.770605[/C][C]0.385303[/C][/ROW]
[ROW][C]220[/C][C]0.580524[/C][C]0.838952[/C][C]0.419476[/C][/ROW]
[ROW][C]221[/C][C]0.586369[/C][C]0.827262[/C][C]0.413631[/C][/ROW]
[ROW][C]222[/C][C]0.622586[/C][C]0.754827[/C][C]0.377414[/C][/ROW]
[ROW][C]223[/C][C]0.579455[/C][C]0.841091[/C][C]0.420545[/C][/ROW]
[ROW][C]224[/C][C]0.538137[/C][C]0.923727[/C][C]0.461863[/C][/ROW]
[ROW][C]225[/C][C]0.647651[/C][C]0.704698[/C][C]0.352349[/C][/ROW]
[ROW][C]226[/C][C]0.619875[/C][C]0.76025[/C][C]0.380125[/C][/ROW]
[ROW][C]227[/C][C]0.597082[/C][C]0.805835[/C][C]0.402918[/C][/ROW]
[ROW][C]228[/C][C]0.615619[/C][C]0.768761[/C][C]0.384381[/C][/ROW]
[ROW][C]229[/C][C]0.705276[/C][C]0.589449[/C][C]0.294724[/C][/ROW]
[ROW][C]230[/C][C]0.770172[/C][C]0.459656[/C][C]0.229828[/C][/ROW]
[ROW][C]231[/C][C]0.801671[/C][C]0.396658[/C][C]0.198329[/C][/ROW]
[ROW][C]232[/C][C]0.883094[/C][C]0.233812[/C][C]0.116906[/C][/ROW]
[ROW][C]233[/C][C]0.860869[/C][C]0.278262[/C][C]0.139131[/C][/ROW]
[ROW][C]234[/C][C]0.83194[/C][C]0.336121[/C][C]0.16806[/C][/ROW]
[ROW][C]235[/C][C]0.800653[/C][C]0.398693[/C][C]0.199347[/C][/ROW]
[ROW][C]236[/C][C]0.905425[/C][C]0.18915[/C][C]0.0945751[/C][/ROW]
[ROW][C]237[/C][C]0.882257[/C][C]0.235487[/C][C]0.117743[/C][/ROW]
[ROW][C]238[/C][C]0.857039[/C][C]0.285922[/C][C]0.142961[/C][/ROW]
[ROW][C]239[/C][C]0.837571[/C][C]0.324858[/C][C]0.162429[/C][/ROW]
[ROW][C]240[/C][C]0.838393[/C][C]0.323215[/C][C]0.161607[/C][/ROW]
[ROW][C]241[/C][C]0.802277[/C][C]0.395446[/C][C]0.197723[/C][/ROW]
[ROW][C]242[/C][C]0.79304[/C][C]0.41392[/C][C]0.20696[/C][/ROW]
[ROW][C]243[/C][C]0.753773[/C][C]0.492453[/C][C]0.246227[/C][/ROW]
[ROW][C]244[/C][C]0.780451[/C][C]0.439099[/C][C]0.219549[/C][/ROW]
[ROW][C]245[/C][C]0.741748[/C][C]0.516504[/C][C]0.258252[/C][/ROW]
[ROW][C]246[/C][C]0.705936[/C][C]0.588127[/C][C]0.294064[/C][/ROW]
[ROW][C]247[/C][C]0.733611[/C][C]0.532779[/C][C]0.266389[/C][/ROW]
[ROW][C]248[/C][C]0.684581[/C][C]0.630837[/C][C]0.315419[/C][/ROW]
[ROW][C]249[/C][C]0.66084[/C][C]0.678321[/C][C]0.33916[/C][/ROW]
[ROW][C]250[/C][C]0.602574[/C][C]0.794852[/C][C]0.397426[/C][/ROW]
[ROW][C]251[/C][C]0.55791[/C][C]0.884181[/C][C]0.44209[/C][/ROW]
[ROW][C]252[/C][C]0.494336[/C][C]0.988671[/C][C]0.505664[/C][/ROW]
[ROW][C]253[/C][C]0.467169[/C][C]0.934338[/C][C]0.532831[/C][/ROW]
[ROW][C]254[/C][C]0.472765[/C][C]0.94553[/C][C]0.527235[/C][/ROW]
[ROW][C]255[/C][C]0.416433[/C][C]0.832867[/C][C]0.583567[/C][/ROW]
[ROW][C]256[/C][C]0.394984[/C][C]0.789969[/C][C]0.605016[/C][/ROW]
[ROW][C]257[/C][C]0.483413[/C][C]0.966826[/C][C]0.516587[/C][/ROW]
[ROW][C]258[/C][C]0.784194[/C][C]0.431611[/C][C]0.215806[/C][/ROW]
[ROW][C]259[/C][C]0.742164[/C][C]0.515673[/C][C]0.257836[/C][/ROW]
[ROW][C]260[/C][C]0.986133[/C][C]0.0277343[/C][C]0.0138672[/C][/ROW]
[ROW][C]261[/C][C]0.978612[/C][C]0.0427758[/C][C]0.0213879[/C][/ROW]
[ROW][C]262[/C][C]0.962674[/C][C]0.0746527[/C][C]0.0373263[/C][/ROW]
[ROW][C]263[/C][C]0.993045[/C][C]0.0139097[/C][C]0.00695483[/C][/ROW]
[ROW][C]264[/C][C]0.986114[/C][C]0.0277716[/C][C]0.0138858[/C][/ROW]
[ROW][C]265[/C][C]0.975219[/C][C]0.0495618[/C][C]0.0247809[/C][/ROW]
[ROW][C]266[/C][C]0.96333[/C][C]0.0733392[/C][C]0.0366696[/C][/ROW]
[ROW][C]267[/C][C]0.933527[/C][C]0.132946[/C][C]0.0664731[/C][/ROW]
[ROW][C]268[/C][C]0.911435[/C][C]0.17713[/C][C]0.0885649[/C][/ROW]
[ROW][C]269[/C][C]0.827101[/C][C]0.345798[/C][C]0.172899[/C][/ROW]
[ROW][C]270[/C][C]0.975973[/C][C]0.0480548[/C][C]0.0240274[/C][/ROW]
[ROW][C]271[/C][C]0.964667[/C][C]0.0706666[/C][C]0.0353333[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266230&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266230&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
70.7198640.5602720.280136
80.7235890.5528220.276411
90.6297920.7404160.370208
100.6252240.7495530.374776
110.5249240.9501510.475076
120.5365310.9269370.463469
130.468970.937940.53103
140.373060.7461210.62694
150.3180960.6361920.681904
160.2418030.4836060.758197
170.1826670.3653350.817333
180.1476050.2952110.852395
190.1213720.2427450.878628
200.08765120.1753020.912349
210.1326020.2652040.867398
220.1557980.3115950.844202
230.1168420.2336840.883158
240.1297130.2594260.870287
250.1134780.2269560.886522
260.09400030.1880010.906
270.101310.2026190.89869
280.0826280.1652560.917372
290.06279340.1255870.937207
300.045680.09136010.95432
310.131250.2624990.86875
320.1100760.2201510.889924
330.09170270.1834050.908297
340.1097270.2194530.890273
350.08636750.1727350.913632
360.06748430.1349690.932516
370.05172650.1034530.948274
380.0388230.07764610.961177
390.03450120.06900230.965499
400.02549240.05098490.974508
410.0752380.1504760.924762
420.06125060.1225010.938749
430.05567450.1113490.944326
440.04483980.08967960.95516
450.03590420.07180830.964096
460.02912820.05825650.970872
470.02408360.04816730.975916
480.05155520.103110.948445
490.06536340.1307270.934637
500.05249040.1049810.94751
510.04145220.08290430.958548
520.07455730.1491150.925443
530.06088490.121770.939115
540.05649840.1129970.943502
550.0645970.1291940.935403
560.05282670.1056530.947173
570.1407130.2814250.859287
580.1823150.364630.817685
590.1666720.3333430.833328
600.1772750.3545490.822725
610.1637480.3274960.836252
620.1455980.2911950.854402
630.1901010.3802030.809899
640.2477190.4954380.752281
650.2358250.4716510.764175
660.2218920.4437850.778108
670.2008880.4017770.799112
680.1902130.3804260.809787
690.1919020.3838050.808098
700.1695250.3390490.830475
710.1496760.2993530.850324
720.1307440.2614890.869256
730.1219410.2438820.878059
740.1333510.2667030.866649
750.1186920.2373840.881308
760.1056480.2112960.894352
770.09327510.186550.906725
780.09202690.1840540.907973
790.08710740.1742150.912893
800.1174950.234990.882505
810.105790.211580.89421
820.1091080.2182170.890892
830.09462980.189260.90537
840.175410.350820.82459
850.1702860.3405720.829714
860.1524630.3049260.847537
870.1352130.2704270.864787
880.1187350.2374710.881265
890.1279230.2558460.872077
900.1330530.2661060.866947
910.127810.2556210.87219
920.2417250.483450.758275
930.2224140.4448290.777586
940.2285130.4570270.771487
950.2918550.583710.708145
960.2842880.5685750.715712
970.3085160.6170320.691484
980.286770.573540.71323
990.3067860.6135710.693214
1000.3954530.7909050.604547
1010.372510.7450190.62749
1020.3519020.7038030.648098
1030.3664070.7328140.633593
1040.3788850.7577710.621115
1050.4034710.8069430.596529
1060.4460290.8920590.553971
1070.440390.8807790.55961
1080.6261170.7477650.373883
1090.7439630.5120730.256037
1100.7593440.4813110.240656
1110.7469060.5061870.253094
1120.7345970.5308070.265403
1130.8747770.2504470.125223
1140.8683430.2633140.131657
1150.8925370.2149260.107463
1160.9235120.1529770.0764883
1170.9340490.1319010.0659507
1180.9314980.1370040.0685018
1190.9307090.1385820.069291
1200.9550720.08985630.0449281
1210.9502310.09953880.0497694
1220.9537540.09249190.046246
1230.9560270.08794610.0439731
1240.9701010.05979810.029899
1250.9705870.05882510.0294126
1260.9653060.06938840.0346942
1270.9638210.07235880.0361794
1280.9582630.08347360.0417368
1290.9713750.05724930.0286246
1300.9680950.06381020.0319051
1310.9629380.07412460.0370623
1320.9592940.08141160.0407058
1330.9585130.0829740.041487
1340.9526280.09474460.0473723
1350.9452080.1095850.0547923
1360.9369490.1261020.0630511
1370.9531830.09363380.0468169
1380.9654690.06906160.0345308
1390.9699550.06008930.0300447
1400.9661630.06767350.0338368
1410.9624510.07509730.0375487
1420.9636090.07278140.0363907
1430.9568970.08620530.0431026
1440.9634510.07309710.0365485
1450.9610720.07785610.038928
1460.9603860.07922770.0396138
1470.9570660.08586820.0429341
1480.9494930.1010140.050507
1490.9429670.1140650.0570326
1500.9438560.1122870.0561435
1510.9612430.07751470.0387574
1520.9592170.08156690.0407835
1530.9601810.07963710.0398186
1540.9586450.08271020.0413551
1550.9620380.07592410.037962
1560.9580180.08396410.041982
1570.9656040.0687920.034396
1580.969370.06126080.0306304
1590.9652470.06950660.0347533
1600.9606480.07870380.0393519
1610.9740620.05187520.0259376
1620.9742860.05142770.0257139
1630.9707480.05850430.0292521
1640.9764790.04704270.0235213
1650.9808140.0383730.0191865
1660.9774420.04511630.0225582
1670.9821750.0356510.0178255
1680.9815140.03697110.0184855
1690.978050.04389920.0219496
1700.9768650.04627060.0231353
1710.9748080.05038340.0251917
1720.979250.04149990.0207499
1730.9753460.04930750.0246538
1740.9703570.05928540.0296427
1750.9647580.07048420.0352421
1760.9704840.05903170.0295158
1770.9645110.07097790.0354889
1780.9751030.04979440.0248972
1790.9699890.06002210.0300111
1800.9743340.05133290.0256665
1810.9704730.0590540.029527
1820.9643280.07134450.0356723
1830.974720.05055930.0252796
1840.9698530.06029350.0301467
1850.9768370.04632550.0231628
1860.9727130.05457360.0272868
1870.9767480.04650420.0232521
1880.9739910.05201770.0260089
1890.9699690.06006120.0300306
1900.9641290.07174260.0358713
1910.9575440.08491290.0424565
1920.9547250.09055030.0452751
1930.9655020.06899540.0344977
1940.9660240.06795170.0339758
1950.9592990.08140290.0407014
1960.9512840.09743150.0487158
1970.941260.117480.0587401
1980.9302790.1394430.0697214
1990.9264480.1471040.073552
2000.9143540.1712910.0856456
2010.9104750.1790510.0895253
2020.8941040.2117910.105896
2030.8749510.2500980.125049
2040.8602720.2794570.139728
2050.8415890.3168230.158411
2060.837080.3258390.16292
2070.8250620.3498760.174938
2080.803110.393780.19689
2090.8126240.3747520.187376
2100.8013880.3972240.198612
2110.7740210.4519580.225979
2120.7507010.4985990.249299
2130.7255860.5488280.274414
2140.6935890.6128230.306411
2150.6785690.6428630.321431
2160.6495150.7009710.350485
2170.6251570.7496850.374843
2180.6535360.6929280.346464
2190.6146970.7706050.385303
2200.5805240.8389520.419476
2210.5863690.8272620.413631
2220.6225860.7548270.377414
2230.5794550.8410910.420545
2240.5381370.9237270.461863
2250.6476510.7046980.352349
2260.6198750.760250.380125
2270.5970820.8058350.402918
2280.6156190.7687610.384381
2290.7052760.5894490.294724
2300.7701720.4596560.229828
2310.8016710.3966580.198329
2320.8830940.2338120.116906
2330.8608690.2782620.139131
2340.831940.3361210.16806
2350.8006530.3986930.199347
2360.9054250.189150.0945751
2370.8822570.2354870.117743
2380.8570390.2859220.142961
2390.8375710.3248580.162429
2400.8383930.3232150.161607
2410.8022770.3954460.197723
2420.793040.413920.20696
2430.7537730.4924530.246227
2440.7804510.4390990.219549
2450.7417480.5165040.258252
2460.7059360.5881270.294064
2470.7336110.5327790.266389
2480.6845810.6308370.315419
2490.660840.6783210.33916
2500.6025740.7948520.397426
2510.557910.8841810.44209
2520.4943360.9886710.505664
2530.4671690.9343380.532831
2540.4727650.945530.527235
2550.4164330.8328670.583567
2560.3949840.7899690.605016
2570.4834130.9668260.516587
2580.7841940.4316110.215806
2590.7421640.5156730.257836
2600.9861330.02773430.0138672
2610.9786120.04277580.0213879
2620.9626740.07465270.0373263
2630.9930450.01390970.00695483
2640.9861140.02777160.0138858
2650.9752190.04956180.0247809
2660.963330.07333920.0366696
2670.9335270.1329460.0664731
2680.9114350.177130.0885649
2690.8271010.3457980.172899
2700.9759730.04805480.0240274
2710.9646670.07066660.0353333






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level190.0716981NOK
10% type I error level900.339623NOK

\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 & 19 & 0.0716981 & NOK \tabularnewline
10% type I error level & 90 & 0.339623 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266230&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]19[/C][C]0.0716981[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]90[/C][C]0.339623[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266230&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266230&T=6

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


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

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level190.0716981NOK
10% type I error level900.339623NOK


Figures (Output of Computation)

Figure 1
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 2
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 3
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 4
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 5
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 6
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 7
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 8
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 9
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Figure 10
PNG link  
QR Code
Postscript link  
QR Code
PDF link  
QR Code


Input Parameters & R Code

Parameters (Session):
Parameters (R input):
par1 = 4 ; 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')
}