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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationFri, 12 Dec 2014 12:30:34 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2014/Dec/12/t1418387965v9venrvfvj6tjlm.htm/, Retrieved Thu, 16 May 2024 15:22:31 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=266612, Retrieved Thu, 16 May 2024 15:22:31 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact86

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
26	50	4	7,5
57	62	4	6
37	54	5	6,5
67	71	4	1
43	54	4	1
52	65	9	5,5
52	73	8	8,5
43	52	11	6,5
84	84	4	4,5
67	42	4	2
49	66	6	5
70	65	4	0,5
52	78	8	5
58	73	4	5
68	75	4	2,5
62	72	11	5
43	66	4	5,5
56	70	4	3,5
56	61	6	3
74	81	6	4
65	71	4	0,5
63	69	8	6,5
58	71	5	4,5
57	72	4	7,5
63	68	9	5,5
53	70	4	4
57	68	7	7,5
51	61	10	7
64	67	4	4
53	76	4	5,5
29	70	7	2,5
54	60	12	5,5
58	72	7	3,5
43	69	5	2,5
51	71	8	4,5
53	62	5	4,5
54	70	4	4,5
56	64	9	6
61	58	7	2,5
47	76	4	5
39	52	4	0
48	59	4	5
50	68	4	6,5
35	76	4	5
30	65	7	6
68	67	4	4,5
49	59	7	5,5
61	69	4	1
67	76	4	7,5
47	63	4	6
56	75	4	5
50	63	8	1
43	60	4	5
67	73	4	6,5
62	63	4	7
57	70	4	4,5
41	75	7	0
54	66	12	8,5
45	63	4	3,5
48	63	4	7,5
61	64	4	3,5
56	70	5	6
41	75	15	1,5
43	61	5	9
53	60	10	3,5
44	62	9	3,5
66	73	8	4
58	61	4	6,5
46	66	5	7,5
37	64	4	6
51	59	9	5
51	64	4	5,5
56	60	10	3,5
66	56	4	7,5
37	78	4	6,5
42	67	7	6,5
38	59	5	6,5
66	66	4	7
34	68	4	3,5
53	71	4	1,5
49	66	4	4
55	73	4	7,5
49	72	4	4,5
59	71	6	0
40	59	10	3,5
58	64	7	5,5
60	66	4	5
63	78	4	4,5
56	68	7	2,5
54	73	4	7,5
52	62	8	7
34	65	11	0
69	68	6	4,5
32	65	14	3
48	60	5	1,5
67	71	4	3,5
58	65	8	2,5
57	68	9	5,5
42	64	4	8
64	74	4	1
58	69	5	5
66	76	4	4,5
26	68	5	3
61	72	4	3
52	67	4	8
51	63	7	2,5
55	59	10	7
50	73	4	0
60	66	5	1
56	62	4	3,5
63	69	4	5,5
61	66	4	5,5
52	51	6	0,5
16	56	4	7,5
46	67	8	9
56	69	5	9,5
52	57	4	8,5
55	56	17	7
50	55	4	8
59	63	4	10
60	67	8	7
52	65	4	8,5
44	47	7	9
67	76	4	9,5
52	64	4	4
55	68	5	6
37	64	7	8
54	65	4	5,5
72	71	4	9,5
51	63	7	7,5
48	60	11	7
60	68	7	7,5
50	72	4	8
63	70	4	7
33	61	4	7
67	61	4	6
46	62	4	10
54	71	4	2,5
59	71	6	9
61	51	8	8
33	56	23	6
47	70	4	8,5
69	73	8	6
52	76	6	9
55	68	4	8
41	48	7	9
73	52	4	5,5
52	60	4	7
50	59	4	5,5
51	57	10	9
60	79	6	2
56	60	5	8,5
56	60	5	9
29	59	4	8,5
66	62	4	9
66	59	5	7,5
73	61	5	10
55	71	5	9
64	57	5	7,5
40	66	4	6
46	63	6	10,5
58	69	4	8,5
43	58	4	8
61	59	4	10
51	48	9	10,5
50	66	18	6,5
52	73	6	9,5
54	67	5	8,5
66	61	4	7,5
61	68	11	5
80	75	4	8
51	62	10	10
56	69	6	7
56	58	8	7,5
56	60	8	7,5
53	74	6	9,5
47	55	8	6
25	62	4	10
47	63	4	7
46	69	9	3
50	58	9	6
39	58	5	7
51	68	4	10
58	72	4	7
35	62	15	3,5
58	62	10	8
60	65	9	10
62	69	7	5,5
63	66	9	6
53	72	6	6,5
46	62	4	6,5
67	75	7	8,5
59	58	4	4
64	66	7	9,5
38	55	4	8
50	47	15	8,5
48	72	4	5,5
48	62	9	7
47	64	4	9
66	64	4	8
47	19	28	10
63	50	4	8
58	68	4	6
44	70	4	8
51	79	5	5
43	69	4	9
55	71	4	4,5
38	48	12	8,5
45	73	4	9,5
50	74	6	8,5
54	66	6	7,5
57	71	5	7,5
60	74	4	5
55	78	4	7
56	75	4	8
49	53	10	5,5
37	60	7	8,5
59	70	4	9,5
46	69	7	7
51	65	4	8
58	78	4	8,5
64	78	12	3,5
53	59	5	6,5
48	72	8	6,5
51	70	6	10,5
47	63	17	8,5
59	63	4	8
62	71	5	10
62	74	4	10
51	67	5	9,5
64	66	5	9
52	62	6	10
67	80	4	7,5
50	73	4	4,5
54	67	4	4,5
58	61	6	0,5
56	73	8	6,5
63	74	10	4,5
31	32	4	5,5
65	69	5	5
71	69	4	6
50	84	4	4
57	64	4	8
47	58	16	10,5
47	59	7	6,5
57	78	4	8
43	57	4	8,5
41	60	14	5,5
63	68	5	7
63	68	5	5
56	73	5	3,5
51	69	5	5
50	67	7	9
22	60	19	8,5
41	65	16	5
59	66	4	9,5
56	74	4	3
66	81	7	1,5
53	72	9	6
42	55	5	0,5
52	49	14	6,5
54	74	4	7,5
44	53	16	4,5
62	64	10	8
53	65	5	9
50	57	6	7,5
36	51	4	8,5
76	80	4	7
66	67	4	9,5
62	70	5	6,5
59	74	4	9,5
47	75	4	6
55	70	5	8
58	69	4	9,5
60	65	4	8
44	55	5	8
57	71	8	9
45	65	15	5

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'Gwilym Jenkins' @ jenkins.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 8 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266612&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]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266612&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266612&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'Gwilym Jenkins' @ jenkins.wessa.net






Multiple Linear Regression - Estimated Regression Equation
Examenscores[t] = + 9.1142 + 0.00719303Intrinsiek[t] -0.0484953Extrinsiek[t] -0.0213779Demotivatie[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
Examenscores[t] =  +  9.1142 +  0.00719303Intrinsiek[t] -0.0484953Extrinsiek[t] -0.0213779Demotivatie[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266612&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]Examenscores[t] =  +  9.1142 +  0.00719303Intrinsiek[t] -0.0484953Extrinsiek[t] -0.0213779Demotivatie[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266612&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266612&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
Examenscores[t] = + 9.1142 + 0.00719303Intrinsiek[t] -0.0484953Extrinsiek[t] -0.0213779Demotivatie[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)9.11421.499066.084.02103e-092.01052e-09
Intrinsiek0.007193030.01582460.45450.6497950.324897
Extrinsiek-0.04849530.0206314-2.3510.01945470.00972733
Demotivatie-0.02137790.0466351-0.45840.6470220.323511

\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) & 9.1142 & 1.49906 & 6.08 & 4.02103e-09 & 2.01052e-09 \tabularnewline
Intrinsiek & 0.00719303 & 0.0158246 & 0.4545 & 0.649795 & 0.324897 \tabularnewline
Extrinsiek & -0.0484953 & 0.0206314 & -2.351 & 0.0194547 & 0.00972733 \tabularnewline
Demotivatie & -0.0213779 & 0.0466351 & -0.4584 & 0.647022 & 0.323511 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266612&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]9.1142[/C][C]1.49906[/C][C]6.08[/C][C]4.02103e-09[/C][C]2.01052e-09[/C][/ROW]
[ROW][C]Intrinsiek[/C][C]0.00719303[/C][C]0.0158246[/C][C]0.4545[/C][C]0.649795[/C][C]0.324897[/C][/ROW]
[ROW][C]Extrinsiek[/C][C]-0.0484953[/C][C]0.0206314[/C][C]-2.351[/C][C]0.0194547[/C][C]0.00972733[/C][/ROW]
[ROW][C]Demotivatie[/C][C]-0.0213779[/C][C]0.0466351[/C][C]-0.4584[/C][C]0.647022[/C][C]0.323511[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266612&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266612&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)9.11421.499066.084.02103e-092.01052e-09
Intrinsiek0.007193030.01582460.45450.6497950.324897
Extrinsiek-0.04849530.0206314-2.3510.01945470.00972733
Demotivatie-0.02137790.0466351-0.45840.6470220.323511






Multiple Linear Regression - Regression Statistics
Multiple R0.142245
R-squared0.0202338
Adjusted R-squared0.00950639
F-TEST (value)1.88618
F-TEST (DF numerator)3
F-TEST (DF denominator)274
p-value0.132143
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.52156
Sum Squared Residuals1742.17

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.142245 \tabularnewline
R-squared & 0.0202338 \tabularnewline
Adjusted R-squared & 0.00950639 \tabularnewline
F-TEST (value) & 1.88618 \tabularnewline
F-TEST (DF numerator) & 3 \tabularnewline
F-TEST (DF denominator) & 274 \tabularnewline
p-value & 0.132143 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 2.52156 \tabularnewline
Sum Squared Residuals & 1742.17 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266612&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.142245[/C][/ROW]
[ROW][C]R-squared[/C][C]0.0202338[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.00950639[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]1.88618[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]3[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]274[/C][/ROW]
[ROW][C]p-value[/C][C]0.132143[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]2.52156[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]1742.17[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266612&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266612&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 R0.142245
R-squared0.0202338
Adjusted R-squared0.00950639
F-TEST (value)1.88618
F-TEST (DF numerator)3
F-TEST (DF denominator)274
p-value0.132143
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.52156
Sum Squared Residuals1742.17






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
17.56.790940.709059
266.43198-0.431982
36.56.65471-0.154706
416.06745-5.06745
516.71924-5.71924
65.56.14364-0.643641
78.55.777062.72294
86.56.66659-0.166587
94.55.5593-1.0593
1027.47382-5.47382
1156.1377-1.1377
120.56.38001-5.88001
1355.53458-0.53458
1455.90573-0.905726
152.55.88067-3.38067
1655.83335-0.833348
175.56.1373-0.637298
183.56.03683-2.53683
1936.43053-3.43053
2045.5901-1.5901
210.56.05307-5.55307
226.56.050160.449839
234.55.98134-1.48134
247.55.947031.55297
255.56.07728-0.577278
2646.01525-2.01525
277.56.076881.42312
2876.309050.690949
2946.23986-2.23986
305.55.72428-0.224275
312.55.77848-3.27848
325.56.33637-0.83637
333.55.89009-2.39009
342.55.97043-3.47043
354.55.86685-1.36685
364.56.38183-1.88183
374.56.02244-1.52244
3866.22091-0.220908
392.56.5906-4.0906
4055.68112-0.681117
4106.78746-6.78746
4256.51273-1.51273
436.56.090660.409341
4455.5948-0.594801
4566.02815-0.0281502
464.56.26863-1.76863
475.56.45579-0.95579
4816.12129-5.12129
497.55.824981.67502
5066.31156-0.311556
5155.79435-0.79435
5216.24762-5.24762
5356.42827-1.42827
546.55.970460.529536
5576.419450.580548
564.56.04402-1.54402
5705.62232-5.62232
588.56.04542.4546
593.56.29717-2.79717
607.56.318751.18125
613.56.36376-2.86376
6266.01545-0.0154484
631.55.4513-3.9513
6496.35842.6416
653.56.37193-2.87193
663.56.23158-2.73158
6745.87776-1.87776
686.56.487670.0123299
697.56.13751.3625
7066.19113-0.191131
7156.42742-1.42742
725.56.29183-0.791833
733.56.39351-2.89351
747.56.787690.712309
756.55.51220.987804
766.56.017480.482524
776.56.419420.0805778
7876.302740.697262
793.55.97557-2.47557
801.55.96675-4.46675
8146.18046-2.18046
827.55.884151.61585
834.55.88948-1.38948
8405.96715-5.96715
853.56.32692-2.82692
865.56.27805-0.77805
8756.25958-1.25958
884.55.69922-1.19922
892.56.06968-3.56968
907.55.876951.62305
9176.31050.689495
9205.97141-5.97141
934.56.18457-1.68457
9435.89289-2.89289
951.56.44286-4.94286
963.56.06745-2.56745
972.56.20818-3.70818
985.56.03412-0.53412
9986.22711.7729
10015.90039-4.90039
10156.07833-1.07833
1024.55.81778-1.31778
10335.89665-2.89665
10435.9758-2.9758
10586.153541.84646
1062.56.27619-3.77619
10776.434810.565186
10805.84818-5.84818
10916.2382-5.2382
1103.56.42479-2.92479
1115.56.13567-0.635673
1125.56.26677-0.766773
1130.56.88671-6.38671
1147.56.428041.07196
11596.024872.97513
1169.56.063943.43606
1178.56.638491.86151
11876.430650.569345
11986.72111.2789
120106.397873.60213
12176.125570.874427
1228.56.250532.24947
12397.001771.99823
1249.55.824983.67502
12546.29903-2.29903
12666.10525-0.105246
12786.1271.873
1285.56.26492-0.764917
1299.56.103423.39658
1307.56.276191.22381
13176.314590.68541
1327.56.098461.40154
13385.896682.10332
13476.087180.912822
13576.307840.692156
13666.55241-0.552407
137106.352863.64714
1382.55.97394-3.47394
13995.967153.03285
14086.908691.09131
14166.14414-0.14414
1428.55.972092.52791
14365.899340.100662
14495.674333.32567
14586.126621.87338
14696.931692.06831
1475.57.03202-1.53202
14876.493010.506993
1495.56.52712-1.02712
15096.503032.49697
15125.58638-3.58638
1528.56.50041.9996
15396.50042.4996
1548.56.376062.12394
15596.496722.50328
1567.56.620830.879173
157106.574193.42581
15895.959763.04024
1597.56.703430.796568
16066.11572-0.115719
16110.56.261614.23839
1628.56.099712.40029
16386.525261.47474
164106.606243.39376
16510.56.960873.53913
1666.55.888360.611642
1679.55.819813.68019
1688.56.146552.35345
1697.56.545210.954786
17056.02014-1.02014
17185.966982.03302
172106.260563.73944
17376.042570.957434
1747.56.533260.966742
1757.56.436271.06373
1769.55.778513.72149
17766.61401-0.614007
178106.20183.7982
17976.311560.688444
18035.9065-2.9065
18166.46872-0.468722
18276.475110.524889
183106.097853.90215
18475.954221.04578
1853.56.03858-2.53858
18686.310911.68909
187106.201193.79881
1885.56.06435-0.564346
18966.17427-0.174269
1906.55.87550.624499
1916.56.352860.147142
1928.55.809342.69066
19346.64035-2.64035
1949.56.224223.27578
19586.634781.36522
1968.56.87391.6261
1975.55.88229-0.382291
19876.260350.739645
19996.263062.73694
20086.399731.60027
201107.932282.06772
20287.057080.942916
20366.1482-0.148203
20485.950512.04949
20555.54303-0.543025
20695.991813.00819
2074.55.98114-1.48114
2088.56.803231.69677
2099.55.812223.68778
2108.55.756932.74307
2117.56.173671.32633
2127.55.974151.52585
21355.87162-0.871617
21475.641671.35833
21585.794352.20565
2165.56.68263-1.18263
2178.56.320982.17902
2189.56.058413.44159
21975.949261.05074
22086.243341.75666
2218.55.663252.83675
2223.55.53538-2.03538
2236.56.52732-0.0273176
2246.55.796780.70322
22510.55.958114.54189
2268.56.033642.46636
22786.397871.60213
228106.010113.98989
229105.8864.114
2309.56.124973.37503
23196.266972.73303
232106.353263.64674
2337.55.6311.869
2344.55.84818-1.34818
2354.56.16793-1.66793
2360.56.44491-5.94491
2376.55.805830.694171
2384.55.76493-1.26493
2395.57.69982-2.19982
24056.12868-1.12868
24166.19322-0.193217
24245.31473-1.31473
24386.334991.66501
24410.56.29754.2025
2456.56.44140.0585964
24685.656062.34394
2478.56.573761.92624
2485.56.2001-0.700105
24976.162790.83721
25056.16279-1.16279
2513.55.86996-2.36996
25256.02798-1.02798
25396.075022.92498
2548.55.956552.54345
25555.91487-0.914872
2569.56.252393.24761
25735.84285-2.84285
2581.55.51117-4.01117
25965.811370.188633
2600.56.64218-6.14218
2616.56.81268-0.312676
2627.55.828461.67154
2634.56.5184-2.0184
26486.242691.75731
26596.236352.76365
2667.56.581350.918649
2678.56.814381.68562
26875.695731.30427
2699.56.254243.24576
2706.56.058610.441393
2719.55.864423.63558
27265.729610.270388
27386.008261.99174
2749.56.099713.40029
27586.308071.69193
27686.656561.34344
27795.910013.08999
27855.96502-0.965022

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 7.5 & 6.79094 & 0.709059 \tabularnewline
2 & 6 & 6.43198 & -0.431982 \tabularnewline
3 & 6.5 & 6.65471 & -0.154706 \tabularnewline
4 & 1 & 6.06745 & -5.06745 \tabularnewline
5 & 1 & 6.71924 & -5.71924 \tabularnewline
6 & 5.5 & 6.14364 & -0.643641 \tabularnewline
7 & 8.5 & 5.77706 & 2.72294 \tabularnewline
8 & 6.5 & 6.66659 & -0.166587 \tabularnewline
9 & 4.5 & 5.5593 & -1.0593 \tabularnewline
10 & 2 & 7.47382 & -5.47382 \tabularnewline
11 & 5 & 6.1377 & -1.1377 \tabularnewline
12 & 0.5 & 6.38001 & -5.88001 \tabularnewline
13 & 5 & 5.53458 & -0.53458 \tabularnewline
14 & 5 & 5.90573 & -0.905726 \tabularnewline
15 & 2.5 & 5.88067 & -3.38067 \tabularnewline
16 & 5 & 5.83335 & -0.833348 \tabularnewline
17 & 5.5 & 6.1373 & -0.637298 \tabularnewline
18 & 3.5 & 6.03683 & -2.53683 \tabularnewline
19 & 3 & 6.43053 & -3.43053 \tabularnewline
20 & 4 & 5.5901 & -1.5901 \tabularnewline
21 & 0.5 & 6.05307 & -5.55307 \tabularnewline
22 & 6.5 & 6.05016 & 0.449839 \tabularnewline
23 & 4.5 & 5.98134 & -1.48134 \tabularnewline
24 & 7.5 & 5.94703 & 1.55297 \tabularnewline
25 & 5.5 & 6.07728 & -0.577278 \tabularnewline
26 & 4 & 6.01525 & -2.01525 \tabularnewline
27 & 7.5 & 6.07688 & 1.42312 \tabularnewline
28 & 7 & 6.30905 & 0.690949 \tabularnewline
29 & 4 & 6.23986 & -2.23986 \tabularnewline
30 & 5.5 & 5.72428 & -0.224275 \tabularnewline
31 & 2.5 & 5.77848 & -3.27848 \tabularnewline
32 & 5.5 & 6.33637 & -0.83637 \tabularnewline
33 & 3.5 & 5.89009 & -2.39009 \tabularnewline
34 & 2.5 & 5.97043 & -3.47043 \tabularnewline
35 & 4.5 & 5.86685 & -1.36685 \tabularnewline
36 & 4.5 & 6.38183 & -1.88183 \tabularnewline
37 & 4.5 & 6.02244 & -1.52244 \tabularnewline
38 & 6 & 6.22091 & -0.220908 \tabularnewline
39 & 2.5 & 6.5906 & -4.0906 \tabularnewline
40 & 5 & 5.68112 & -0.681117 \tabularnewline
41 & 0 & 6.78746 & -6.78746 \tabularnewline
42 & 5 & 6.51273 & -1.51273 \tabularnewline
43 & 6.5 & 6.09066 & 0.409341 \tabularnewline
44 & 5 & 5.5948 & -0.594801 \tabularnewline
45 & 6 & 6.02815 & -0.0281502 \tabularnewline
46 & 4.5 & 6.26863 & -1.76863 \tabularnewline
47 & 5.5 & 6.45579 & -0.95579 \tabularnewline
48 & 1 & 6.12129 & -5.12129 \tabularnewline
49 & 7.5 & 5.82498 & 1.67502 \tabularnewline
50 & 6 & 6.31156 & -0.311556 \tabularnewline
51 & 5 & 5.79435 & -0.79435 \tabularnewline
52 & 1 & 6.24762 & -5.24762 \tabularnewline
53 & 5 & 6.42827 & -1.42827 \tabularnewline
54 & 6.5 & 5.97046 & 0.529536 \tabularnewline
55 & 7 & 6.41945 & 0.580548 \tabularnewline
56 & 4.5 & 6.04402 & -1.54402 \tabularnewline
57 & 0 & 5.62232 & -5.62232 \tabularnewline
58 & 8.5 & 6.0454 & 2.4546 \tabularnewline
59 & 3.5 & 6.29717 & -2.79717 \tabularnewline
60 & 7.5 & 6.31875 & 1.18125 \tabularnewline
61 & 3.5 & 6.36376 & -2.86376 \tabularnewline
62 & 6 & 6.01545 & -0.0154484 \tabularnewline
63 & 1.5 & 5.4513 & -3.9513 \tabularnewline
64 & 9 & 6.3584 & 2.6416 \tabularnewline
65 & 3.5 & 6.37193 & -2.87193 \tabularnewline
66 & 3.5 & 6.23158 & -2.73158 \tabularnewline
67 & 4 & 5.87776 & -1.87776 \tabularnewline
68 & 6.5 & 6.48767 & 0.0123299 \tabularnewline
69 & 7.5 & 6.1375 & 1.3625 \tabularnewline
70 & 6 & 6.19113 & -0.191131 \tabularnewline
71 & 5 & 6.42742 & -1.42742 \tabularnewline
72 & 5.5 & 6.29183 & -0.791833 \tabularnewline
73 & 3.5 & 6.39351 & -2.89351 \tabularnewline
74 & 7.5 & 6.78769 & 0.712309 \tabularnewline
75 & 6.5 & 5.5122 & 0.987804 \tabularnewline
76 & 6.5 & 6.01748 & 0.482524 \tabularnewline
77 & 6.5 & 6.41942 & 0.0805778 \tabularnewline
78 & 7 & 6.30274 & 0.697262 \tabularnewline
79 & 3.5 & 5.97557 & -2.47557 \tabularnewline
80 & 1.5 & 5.96675 & -4.46675 \tabularnewline
81 & 4 & 6.18046 & -2.18046 \tabularnewline
82 & 7.5 & 5.88415 & 1.61585 \tabularnewline
83 & 4.5 & 5.88948 & -1.38948 \tabularnewline
84 & 0 & 5.96715 & -5.96715 \tabularnewline
85 & 3.5 & 6.32692 & -2.82692 \tabularnewline
86 & 5.5 & 6.27805 & -0.77805 \tabularnewline
87 & 5 & 6.25958 & -1.25958 \tabularnewline
88 & 4.5 & 5.69922 & -1.19922 \tabularnewline
89 & 2.5 & 6.06968 & -3.56968 \tabularnewline
90 & 7.5 & 5.87695 & 1.62305 \tabularnewline
91 & 7 & 6.3105 & 0.689495 \tabularnewline
92 & 0 & 5.97141 & -5.97141 \tabularnewline
93 & 4.5 & 6.18457 & -1.68457 \tabularnewline
94 & 3 & 5.89289 & -2.89289 \tabularnewline
95 & 1.5 & 6.44286 & -4.94286 \tabularnewline
96 & 3.5 & 6.06745 & -2.56745 \tabularnewline
97 & 2.5 & 6.20818 & -3.70818 \tabularnewline
98 & 5.5 & 6.03412 & -0.53412 \tabularnewline
99 & 8 & 6.2271 & 1.7729 \tabularnewline
100 & 1 & 5.90039 & -4.90039 \tabularnewline
101 & 5 & 6.07833 & -1.07833 \tabularnewline
102 & 4.5 & 5.81778 & -1.31778 \tabularnewline
103 & 3 & 5.89665 & -2.89665 \tabularnewline
104 & 3 & 5.9758 & -2.9758 \tabularnewline
105 & 8 & 6.15354 & 1.84646 \tabularnewline
106 & 2.5 & 6.27619 & -3.77619 \tabularnewline
107 & 7 & 6.43481 & 0.565186 \tabularnewline
108 & 0 & 5.84818 & -5.84818 \tabularnewline
109 & 1 & 6.2382 & -5.2382 \tabularnewline
110 & 3.5 & 6.42479 & -2.92479 \tabularnewline
111 & 5.5 & 6.13567 & -0.635673 \tabularnewline
112 & 5.5 & 6.26677 & -0.766773 \tabularnewline
113 & 0.5 & 6.88671 & -6.38671 \tabularnewline
114 & 7.5 & 6.42804 & 1.07196 \tabularnewline
115 & 9 & 6.02487 & 2.97513 \tabularnewline
116 & 9.5 & 6.06394 & 3.43606 \tabularnewline
117 & 8.5 & 6.63849 & 1.86151 \tabularnewline
118 & 7 & 6.43065 & 0.569345 \tabularnewline
119 & 8 & 6.7211 & 1.2789 \tabularnewline
120 & 10 & 6.39787 & 3.60213 \tabularnewline
121 & 7 & 6.12557 & 0.874427 \tabularnewline
122 & 8.5 & 6.25053 & 2.24947 \tabularnewline
123 & 9 & 7.00177 & 1.99823 \tabularnewline
124 & 9.5 & 5.82498 & 3.67502 \tabularnewline
125 & 4 & 6.29903 & -2.29903 \tabularnewline
126 & 6 & 6.10525 & -0.105246 \tabularnewline
127 & 8 & 6.127 & 1.873 \tabularnewline
128 & 5.5 & 6.26492 & -0.764917 \tabularnewline
129 & 9.5 & 6.10342 & 3.39658 \tabularnewline
130 & 7.5 & 6.27619 & 1.22381 \tabularnewline
131 & 7 & 6.31459 & 0.68541 \tabularnewline
132 & 7.5 & 6.09846 & 1.40154 \tabularnewline
133 & 8 & 5.89668 & 2.10332 \tabularnewline
134 & 7 & 6.08718 & 0.912822 \tabularnewline
135 & 7 & 6.30784 & 0.692156 \tabularnewline
136 & 6 & 6.55241 & -0.552407 \tabularnewline
137 & 10 & 6.35286 & 3.64714 \tabularnewline
138 & 2.5 & 5.97394 & -3.47394 \tabularnewline
139 & 9 & 5.96715 & 3.03285 \tabularnewline
140 & 8 & 6.90869 & 1.09131 \tabularnewline
141 & 6 & 6.14414 & -0.14414 \tabularnewline
142 & 8.5 & 5.97209 & 2.52791 \tabularnewline
143 & 6 & 5.89934 & 0.100662 \tabularnewline
144 & 9 & 5.67433 & 3.32567 \tabularnewline
145 & 8 & 6.12662 & 1.87338 \tabularnewline
146 & 9 & 6.93169 & 2.06831 \tabularnewline
147 & 5.5 & 7.03202 & -1.53202 \tabularnewline
148 & 7 & 6.49301 & 0.506993 \tabularnewline
149 & 5.5 & 6.52712 & -1.02712 \tabularnewline
150 & 9 & 6.50303 & 2.49697 \tabularnewline
151 & 2 & 5.58638 & -3.58638 \tabularnewline
152 & 8.5 & 6.5004 & 1.9996 \tabularnewline
153 & 9 & 6.5004 & 2.4996 \tabularnewline
154 & 8.5 & 6.37606 & 2.12394 \tabularnewline
155 & 9 & 6.49672 & 2.50328 \tabularnewline
156 & 7.5 & 6.62083 & 0.879173 \tabularnewline
157 & 10 & 6.57419 & 3.42581 \tabularnewline
158 & 9 & 5.95976 & 3.04024 \tabularnewline
159 & 7.5 & 6.70343 & 0.796568 \tabularnewline
160 & 6 & 6.11572 & -0.115719 \tabularnewline
161 & 10.5 & 6.26161 & 4.23839 \tabularnewline
162 & 8.5 & 6.09971 & 2.40029 \tabularnewline
163 & 8 & 6.52526 & 1.47474 \tabularnewline
164 & 10 & 6.60624 & 3.39376 \tabularnewline
165 & 10.5 & 6.96087 & 3.53913 \tabularnewline
166 & 6.5 & 5.88836 & 0.611642 \tabularnewline
167 & 9.5 & 5.81981 & 3.68019 \tabularnewline
168 & 8.5 & 6.14655 & 2.35345 \tabularnewline
169 & 7.5 & 6.54521 & 0.954786 \tabularnewline
170 & 5 & 6.02014 & -1.02014 \tabularnewline
171 & 8 & 5.96698 & 2.03302 \tabularnewline
172 & 10 & 6.26056 & 3.73944 \tabularnewline
173 & 7 & 6.04257 & 0.957434 \tabularnewline
174 & 7.5 & 6.53326 & 0.966742 \tabularnewline
175 & 7.5 & 6.43627 & 1.06373 \tabularnewline
176 & 9.5 & 5.77851 & 3.72149 \tabularnewline
177 & 6 & 6.61401 & -0.614007 \tabularnewline
178 & 10 & 6.2018 & 3.7982 \tabularnewline
179 & 7 & 6.31156 & 0.688444 \tabularnewline
180 & 3 & 5.9065 & -2.9065 \tabularnewline
181 & 6 & 6.46872 & -0.468722 \tabularnewline
182 & 7 & 6.47511 & 0.524889 \tabularnewline
183 & 10 & 6.09785 & 3.90215 \tabularnewline
184 & 7 & 5.95422 & 1.04578 \tabularnewline
185 & 3.5 & 6.03858 & -2.53858 \tabularnewline
186 & 8 & 6.31091 & 1.68909 \tabularnewline
187 & 10 & 6.20119 & 3.79881 \tabularnewline
188 & 5.5 & 6.06435 & -0.564346 \tabularnewline
189 & 6 & 6.17427 & -0.174269 \tabularnewline
190 & 6.5 & 5.8755 & 0.624499 \tabularnewline
191 & 6.5 & 6.35286 & 0.147142 \tabularnewline
192 & 8.5 & 5.80934 & 2.69066 \tabularnewline
193 & 4 & 6.64035 & -2.64035 \tabularnewline
194 & 9.5 & 6.22422 & 3.27578 \tabularnewline
195 & 8 & 6.63478 & 1.36522 \tabularnewline
196 & 8.5 & 6.8739 & 1.6261 \tabularnewline
197 & 5.5 & 5.88229 & -0.382291 \tabularnewline
198 & 7 & 6.26035 & 0.739645 \tabularnewline
199 & 9 & 6.26306 & 2.73694 \tabularnewline
200 & 8 & 6.39973 & 1.60027 \tabularnewline
201 & 10 & 7.93228 & 2.06772 \tabularnewline
202 & 8 & 7.05708 & 0.942916 \tabularnewline
203 & 6 & 6.1482 & -0.148203 \tabularnewline
204 & 8 & 5.95051 & 2.04949 \tabularnewline
205 & 5 & 5.54303 & -0.543025 \tabularnewline
206 & 9 & 5.99181 & 3.00819 \tabularnewline
207 & 4.5 & 5.98114 & -1.48114 \tabularnewline
208 & 8.5 & 6.80323 & 1.69677 \tabularnewline
209 & 9.5 & 5.81222 & 3.68778 \tabularnewline
210 & 8.5 & 5.75693 & 2.74307 \tabularnewline
211 & 7.5 & 6.17367 & 1.32633 \tabularnewline
212 & 7.5 & 5.97415 & 1.52585 \tabularnewline
213 & 5 & 5.87162 & -0.871617 \tabularnewline
214 & 7 & 5.64167 & 1.35833 \tabularnewline
215 & 8 & 5.79435 & 2.20565 \tabularnewline
216 & 5.5 & 6.68263 & -1.18263 \tabularnewline
217 & 8.5 & 6.32098 & 2.17902 \tabularnewline
218 & 9.5 & 6.05841 & 3.44159 \tabularnewline
219 & 7 & 5.94926 & 1.05074 \tabularnewline
220 & 8 & 6.24334 & 1.75666 \tabularnewline
221 & 8.5 & 5.66325 & 2.83675 \tabularnewline
222 & 3.5 & 5.53538 & -2.03538 \tabularnewline
223 & 6.5 & 6.52732 & -0.0273176 \tabularnewline
224 & 6.5 & 5.79678 & 0.70322 \tabularnewline
225 & 10.5 & 5.95811 & 4.54189 \tabularnewline
226 & 8.5 & 6.03364 & 2.46636 \tabularnewline
227 & 8 & 6.39787 & 1.60213 \tabularnewline
228 & 10 & 6.01011 & 3.98989 \tabularnewline
229 & 10 & 5.886 & 4.114 \tabularnewline
230 & 9.5 & 6.12497 & 3.37503 \tabularnewline
231 & 9 & 6.26697 & 2.73303 \tabularnewline
232 & 10 & 6.35326 & 3.64674 \tabularnewline
233 & 7.5 & 5.631 & 1.869 \tabularnewline
234 & 4.5 & 5.84818 & -1.34818 \tabularnewline
235 & 4.5 & 6.16793 & -1.66793 \tabularnewline
236 & 0.5 & 6.44491 & -5.94491 \tabularnewline
237 & 6.5 & 5.80583 & 0.694171 \tabularnewline
238 & 4.5 & 5.76493 & -1.26493 \tabularnewline
239 & 5.5 & 7.69982 & -2.19982 \tabularnewline
240 & 5 & 6.12868 & -1.12868 \tabularnewline
241 & 6 & 6.19322 & -0.193217 \tabularnewline
242 & 4 & 5.31473 & -1.31473 \tabularnewline
243 & 8 & 6.33499 & 1.66501 \tabularnewline
244 & 10.5 & 6.2975 & 4.2025 \tabularnewline
245 & 6.5 & 6.4414 & 0.0585964 \tabularnewline
246 & 8 & 5.65606 & 2.34394 \tabularnewline
247 & 8.5 & 6.57376 & 1.92624 \tabularnewline
248 & 5.5 & 6.2001 & -0.700105 \tabularnewline
249 & 7 & 6.16279 & 0.83721 \tabularnewline
250 & 5 & 6.16279 & -1.16279 \tabularnewline
251 & 3.5 & 5.86996 & -2.36996 \tabularnewline
252 & 5 & 6.02798 & -1.02798 \tabularnewline
253 & 9 & 6.07502 & 2.92498 \tabularnewline
254 & 8.5 & 5.95655 & 2.54345 \tabularnewline
255 & 5 & 5.91487 & -0.914872 \tabularnewline
256 & 9.5 & 6.25239 & 3.24761 \tabularnewline
257 & 3 & 5.84285 & -2.84285 \tabularnewline
258 & 1.5 & 5.51117 & -4.01117 \tabularnewline
259 & 6 & 5.81137 & 0.188633 \tabularnewline
260 & 0.5 & 6.64218 & -6.14218 \tabularnewline
261 & 6.5 & 6.81268 & -0.312676 \tabularnewline
262 & 7.5 & 5.82846 & 1.67154 \tabularnewline
263 & 4.5 & 6.5184 & -2.0184 \tabularnewline
264 & 8 & 6.24269 & 1.75731 \tabularnewline
265 & 9 & 6.23635 & 2.76365 \tabularnewline
266 & 7.5 & 6.58135 & 0.918649 \tabularnewline
267 & 8.5 & 6.81438 & 1.68562 \tabularnewline
268 & 7 & 5.69573 & 1.30427 \tabularnewline
269 & 9.5 & 6.25424 & 3.24576 \tabularnewline
270 & 6.5 & 6.05861 & 0.441393 \tabularnewline
271 & 9.5 & 5.86442 & 3.63558 \tabularnewline
272 & 6 & 5.72961 & 0.270388 \tabularnewline
273 & 8 & 6.00826 & 1.99174 \tabularnewline
274 & 9.5 & 6.09971 & 3.40029 \tabularnewline
275 & 8 & 6.30807 & 1.69193 \tabularnewline
276 & 8 & 6.65656 & 1.34344 \tabularnewline
277 & 9 & 5.91001 & 3.08999 \tabularnewline
278 & 5 & 5.96502 & -0.965022 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266612&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]6.79094[/C][C]0.709059[/C][/ROW]
[ROW][C]2[/C][C]6[/C][C]6.43198[/C][C]-0.431982[/C][/ROW]
[ROW][C]3[/C][C]6.5[/C][C]6.65471[/C][C]-0.154706[/C][/ROW]
[ROW][C]4[/C][C]1[/C][C]6.06745[/C][C]-5.06745[/C][/ROW]
[ROW][C]5[/C][C]1[/C][C]6.71924[/C][C]-5.71924[/C][/ROW]
[ROW][C]6[/C][C]5.5[/C][C]6.14364[/C][C]-0.643641[/C][/ROW]
[ROW][C]7[/C][C]8.5[/C][C]5.77706[/C][C]2.72294[/C][/ROW]
[ROW][C]8[/C][C]6.5[/C][C]6.66659[/C][C]-0.166587[/C][/ROW]
[ROW][C]9[/C][C]4.5[/C][C]5.5593[/C][C]-1.0593[/C][/ROW]
[ROW][C]10[/C][C]2[/C][C]7.47382[/C][C]-5.47382[/C][/ROW]
[ROW][C]11[/C][C]5[/C][C]6.1377[/C][C]-1.1377[/C][/ROW]
[ROW][C]12[/C][C]0.5[/C][C]6.38001[/C][C]-5.88001[/C][/ROW]
[ROW][C]13[/C][C]5[/C][C]5.53458[/C][C]-0.53458[/C][/ROW]
[ROW][C]14[/C][C]5[/C][C]5.90573[/C][C]-0.905726[/C][/ROW]
[ROW][C]15[/C][C]2.5[/C][C]5.88067[/C][C]-3.38067[/C][/ROW]
[ROW][C]16[/C][C]5[/C][C]5.83335[/C][C]-0.833348[/C][/ROW]
[ROW][C]17[/C][C]5.5[/C][C]6.1373[/C][C]-0.637298[/C][/ROW]
[ROW][C]18[/C][C]3.5[/C][C]6.03683[/C][C]-2.53683[/C][/ROW]
[ROW][C]19[/C][C]3[/C][C]6.43053[/C][C]-3.43053[/C][/ROW]
[ROW][C]20[/C][C]4[/C][C]5.5901[/C][C]-1.5901[/C][/ROW]
[ROW][C]21[/C][C]0.5[/C][C]6.05307[/C][C]-5.55307[/C][/ROW]
[ROW][C]22[/C][C]6.5[/C][C]6.05016[/C][C]0.449839[/C][/ROW]
[ROW][C]23[/C][C]4.5[/C][C]5.98134[/C][C]-1.48134[/C][/ROW]
[ROW][C]24[/C][C]7.5[/C][C]5.94703[/C][C]1.55297[/C][/ROW]
[ROW][C]25[/C][C]5.5[/C][C]6.07728[/C][C]-0.577278[/C][/ROW]
[ROW][C]26[/C][C]4[/C][C]6.01525[/C][C]-2.01525[/C][/ROW]
[ROW][C]27[/C][C]7.5[/C][C]6.07688[/C][C]1.42312[/C][/ROW]
[ROW][C]28[/C][C]7[/C][C]6.30905[/C][C]0.690949[/C][/ROW]
[ROW][C]29[/C][C]4[/C][C]6.23986[/C][C]-2.23986[/C][/ROW]
[ROW][C]30[/C][C]5.5[/C][C]5.72428[/C][C]-0.224275[/C][/ROW]
[ROW][C]31[/C][C]2.5[/C][C]5.77848[/C][C]-3.27848[/C][/ROW]
[ROW][C]32[/C][C]5.5[/C][C]6.33637[/C][C]-0.83637[/C][/ROW]
[ROW][C]33[/C][C]3.5[/C][C]5.89009[/C][C]-2.39009[/C][/ROW]
[ROW][C]34[/C][C]2.5[/C][C]5.97043[/C][C]-3.47043[/C][/ROW]
[ROW][C]35[/C][C]4.5[/C][C]5.86685[/C][C]-1.36685[/C][/ROW]
[ROW][C]36[/C][C]4.5[/C][C]6.38183[/C][C]-1.88183[/C][/ROW]
[ROW][C]37[/C][C]4.5[/C][C]6.02244[/C][C]-1.52244[/C][/ROW]
[ROW][C]38[/C][C]6[/C][C]6.22091[/C][C]-0.220908[/C][/ROW]
[ROW][C]39[/C][C]2.5[/C][C]6.5906[/C][C]-4.0906[/C][/ROW]
[ROW][C]40[/C][C]5[/C][C]5.68112[/C][C]-0.681117[/C][/ROW]
[ROW][C]41[/C][C]0[/C][C]6.78746[/C][C]-6.78746[/C][/ROW]
[ROW][C]42[/C][C]5[/C][C]6.51273[/C][C]-1.51273[/C][/ROW]
[ROW][C]43[/C][C]6.5[/C][C]6.09066[/C][C]0.409341[/C][/ROW]
[ROW][C]44[/C][C]5[/C][C]5.5948[/C][C]-0.594801[/C][/ROW]
[ROW][C]45[/C][C]6[/C][C]6.02815[/C][C]-0.0281502[/C][/ROW]
[ROW][C]46[/C][C]4.5[/C][C]6.26863[/C][C]-1.76863[/C][/ROW]
[ROW][C]47[/C][C]5.5[/C][C]6.45579[/C][C]-0.95579[/C][/ROW]
[ROW][C]48[/C][C]1[/C][C]6.12129[/C][C]-5.12129[/C][/ROW]
[ROW][C]49[/C][C]7.5[/C][C]5.82498[/C][C]1.67502[/C][/ROW]
[ROW][C]50[/C][C]6[/C][C]6.31156[/C][C]-0.311556[/C][/ROW]
[ROW][C]51[/C][C]5[/C][C]5.79435[/C][C]-0.79435[/C][/ROW]
[ROW][C]52[/C][C]1[/C][C]6.24762[/C][C]-5.24762[/C][/ROW]
[ROW][C]53[/C][C]5[/C][C]6.42827[/C][C]-1.42827[/C][/ROW]
[ROW][C]54[/C][C]6.5[/C][C]5.97046[/C][C]0.529536[/C][/ROW]
[ROW][C]55[/C][C]7[/C][C]6.41945[/C][C]0.580548[/C][/ROW]
[ROW][C]56[/C][C]4.5[/C][C]6.04402[/C][C]-1.54402[/C][/ROW]
[ROW][C]57[/C][C]0[/C][C]5.62232[/C][C]-5.62232[/C][/ROW]
[ROW][C]58[/C][C]8.5[/C][C]6.0454[/C][C]2.4546[/C][/ROW]
[ROW][C]59[/C][C]3.5[/C][C]6.29717[/C][C]-2.79717[/C][/ROW]
[ROW][C]60[/C][C]7.5[/C][C]6.31875[/C][C]1.18125[/C][/ROW]
[ROW][C]61[/C][C]3.5[/C][C]6.36376[/C][C]-2.86376[/C][/ROW]
[ROW][C]62[/C][C]6[/C][C]6.01545[/C][C]-0.0154484[/C][/ROW]
[ROW][C]63[/C][C]1.5[/C][C]5.4513[/C][C]-3.9513[/C][/ROW]
[ROW][C]64[/C][C]9[/C][C]6.3584[/C][C]2.6416[/C][/ROW]
[ROW][C]65[/C][C]3.5[/C][C]6.37193[/C][C]-2.87193[/C][/ROW]
[ROW][C]66[/C][C]3.5[/C][C]6.23158[/C][C]-2.73158[/C][/ROW]
[ROW][C]67[/C][C]4[/C][C]5.87776[/C][C]-1.87776[/C][/ROW]
[ROW][C]68[/C][C]6.5[/C][C]6.48767[/C][C]0.0123299[/C][/ROW]
[ROW][C]69[/C][C]7.5[/C][C]6.1375[/C][C]1.3625[/C][/ROW]
[ROW][C]70[/C][C]6[/C][C]6.19113[/C][C]-0.191131[/C][/ROW]
[ROW][C]71[/C][C]5[/C][C]6.42742[/C][C]-1.42742[/C][/ROW]
[ROW][C]72[/C][C]5.5[/C][C]6.29183[/C][C]-0.791833[/C][/ROW]
[ROW][C]73[/C][C]3.5[/C][C]6.39351[/C][C]-2.89351[/C][/ROW]
[ROW][C]74[/C][C]7.5[/C][C]6.78769[/C][C]0.712309[/C][/ROW]
[ROW][C]75[/C][C]6.5[/C][C]5.5122[/C][C]0.987804[/C][/ROW]
[ROW][C]76[/C][C]6.5[/C][C]6.01748[/C][C]0.482524[/C][/ROW]
[ROW][C]77[/C][C]6.5[/C][C]6.41942[/C][C]0.0805778[/C][/ROW]
[ROW][C]78[/C][C]7[/C][C]6.30274[/C][C]0.697262[/C][/ROW]
[ROW][C]79[/C][C]3.5[/C][C]5.97557[/C][C]-2.47557[/C][/ROW]
[ROW][C]80[/C][C]1.5[/C][C]5.96675[/C][C]-4.46675[/C][/ROW]
[ROW][C]81[/C][C]4[/C][C]6.18046[/C][C]-2.18046[/C][/ROW]
[ROW][C]82[/C][C]7.5[/C][C]5.88415[/C][C]1.61585[/C][/ROW]
[ROW][C]83[/C][C]4.5[/C][C]5.88948[/C][C]-1.38948[/C][/ROW]
[ROW][C]84[/C][C]0[/C][C]5.96715[/C][C]-5.96715[/C][/ROW]
[ROW][C]85[/C][C]3.5[/C][C]6.32692[/C][C]-2.82692[/C][/ROW]
[ROW][C]86[/C][C]5.5[/C][C]6.27805[/C][C]-0.77805[/C][/ROW]
[ROW][C]87[/C][C]5[/C][C]6.25958[/C][C]-1.25958[/C][/ROW]
[ROW][C]88[/C][C]4.5[/C][C]5.69922[/C][C]-1.19922[/C][/ROW]
[ROW][C]89[/C][C]2.5[/C][C]6.06968[/C][C]-3.56968[/C][/ROW]
[ROW][C]90[/C][C]7.5[/C][C]5.87695[/C][C]1.62305[/C][/ROW]
[ROW][C]91[/C][C]7[/C][C]6.3105[/C][C]0.689495[/C][/ROW]
[ROW][C]92[/C][C]0[/C][C]5.97141[/C][C]-5.97141[/C][/ROW]
[ROW][C]93[/C][C]4.5[/C][C]6.18457[/C][C]-1.68457[/C][/ROW]
[ROW][C]94[/C][C]3[/C][C]5.89289[/C][C]-2.89289[/C][/ROW]
[ROW][C]95[/C][C]1.5[/C][C]6.44286[/C][C]-4.94286[/C][/ROW]
[ROW][C]96[/C][C]3.5[/C][C]6.06745[/C][C]-2.56745[/C][/ROW]
[ROW][C]97[/C][C]2.5[/C][C]6.20818[/C][C]-3.70818[/C][/ROW]
[ROW][C]98[/C][C]5.5[/C][C]6.03412[/C][C]-0.53412[/C][/ROW]
[ROW][C]99[/C][C]8[/C][C]6.2271[/C][C]1.7729[/C][/ROW]
[ROW][C]100[/C][C]1[/C][C]5.90039[/C][C]-4.90039[/C][/ROW]
[ROW][C]101[/C][C]5[/C][C]6.07833[/C][C]-1.07833[/C][/ROW]
[ROW][C]102[/C][C]4.5[/C][C]5.81778[/C][C]-1.31778[/C][/ROW]
[ROW][C]103[/C][C]3[/C][C]5.89665[/C][C]-2.89665[/C][/ROW]
[ROW][C]104[/C][C]3[/C][C]5.9758[/C][C]-2.9758[/C][/ROW]
[ROW][C]105[/C][C]8[/C][C]6.15354[/C][C]1.84646[/C][/ROW]
[ROW][C]106[/C][C]2.5[/C][C]6.27619[/C][C]-3.77619[/C][/ROW]
[ROW][C]107[/C][C]7[/C][C]6.43481[/C][C]0.565186[/C][/ROW]
[ROW][C]108[/C][C]0[/C][C]5.84818[/C][C]-5.84818[/C][/ROW]
[ROW][C]109[/C][C]1[/C][C]6.2382[/C][C]-5.2382[/C][/ROW]
[ROW][C]110[/C][C]3.5[/C][C]6.42479[/C][C]-2.92479[/C][/ROW]
[ROW][C]111[/C][C]5.5[/C][C]6.13567[/C][C]-0.635673[/C][/ROW]
[ROW][C]112[/C][C]5.5[/C][C]6.26677[/C][C]-0.766773[/C][/ROW]
[ROW][C]113[/C][C]0.5[/C][C]6.88671[/C][C]-6.38671[/C][/ROW]
[ROW][C]114[/C][C]7.5[/C][C]6.42804[/C][C]1.07196[/C][/ROW]
[ROW][C]115[/C][C]9[/C][C]6.02487[/C][C]2.97513[/C][/ROW]
[ROW][C]116[/C][C]9.5[/C][C]6.06394[/C][C]3.43606[/C][/ROW]
[ROW][C]117[/C][C]8.5[/C][C]6.63849[/C][C]1.86151[/C][/ROW]
[ROW][C]118[/C][C]7[/C][C]6.43065[/C][C]0.569345[/C][/ROW]
[ROW][C]119[/C][C]8[/C][C]6.7211[/C][C]1.2789[/C][/ROW]
[ROW][C]120[/C][C]10[/C][C]6.39787[/C][C]3.60213[/C][/ROW]
[ROW][C]121[/C][C]7[/C][C]6.12557[/C][C]0.874427[/C][/ROW]
[ROW][C]122[/C][C]8.5[/C][C]6.25053[/C][C]2.24947[/C][/ROW]
[ROW][C]123[/C][C]9[/C][C]7.00177[/C][C]1.99823[/C][/ROW]
[ROW][C]124[/C][C]9.5[/C][C]5.82498[/C][C]3.67502[/C][/ROW]
[ROW][C]125[/C][C]4[/C][C]6.29903[/C][C]-2.29903[/C][/ROW]
[ROW][C]126[/C][C]6[/C][C]6.10525[/C][C]-0.105246[/C][/ROW]
[ROW][C]127[/C][C]8[/C][C]6.127[/C][C]1.873[/C][/ROW]
[ROW][C]128[/C][C]5.5[/C][C]6.26492[/C][C]-0.764917[/C][/ROW]
[ROW][C]129[/C][C]9.5[/C][C]6.10342[/C][C]3.39658[/C][/ROW]
[ROW][C]130[/C][C]7.5[/C][C]6.27619[/C][C]1.22381[/C][/ROW]
[ROW][C]131[/C][C]7[/C][C]6.31459[/C][C]0.68541[/C][/ROW]
[ROW][C]132[/C][C]7.5[/C][C]6.09846[/C][C]1.40154[/C][/ROW]
[ROW][C]133[/C][C]8[/C][C]5.89668[/C][C]2.10332[/C][/ROW]
[ROW][C]134[/C][C]7[/C][C]6.08718[/C][C]0.912822[/C][/ROW]
[ROW][C]135[/C][C]7[/C][C]6.30784[/C][C]0.692156[/C][/ROW]
[ROW][C]136[/C][C]6[/C][C]6.55241[/C][C]-0.552407[/C][/ROW]
[ROW][C]137[/C][C]10[/C][C]6.35286[/C][C]3.64714[/C][/ROW]
[ROW][C]138[/C][C]2.5[/C][C]5.97394[/C][C]-3.47394[/C][/ROW]
[ROW][C]139[/C][C]9[/C][C]5.96715[/C][C]3.03285[/C][/ROW]
[ROW][C]140[/C][C]8[/C][C]6.90869[/C][C]1.09131[/C][/ROW]
[ROW][C]141[/C][C]6[/C][C]6.14414[/C][C]-0.14414[/C][/ROW]
[ROW][C]142[/C][C]8.5[/C][C]5.97209[/C][C]2.52791[/C][/ROW]
[ROW][C]143[/C][C]6[/C][C]5.89934[/C][C]0.100662[/C][/ROW]
[ROW][C]144[/C][C]9[/C][C]5.67433[/C][C]3.32567[/C][/ROW]
[ROW][C]145[/C][C]8[/C][C]6.12662[/C][C]1.87338[/C][/ROW]
[ROW][C]146[/C][C]9[/C][C]6.93169[/C][C]2.06831[/C][/ROW]
[ROW][C]147[/C][C]5.5[/C][C]7.03202[/C][C]-1.53202[/C][/ROW]
[ROW][C]148[/C][C]7[/C][C]6.49301[/C][C]0.506993[/C][/ROW]
[ROW][C]149[/C][C]5.5[/C][C]6.52712[/C][C]-1.02712[/C][/ROW]
[ROW][C]150[/C][C]9[/C][C]6.50303[/C][C]2.49697[/C][/ROW]
[ROW][C]151[/C][C]2[/C][C]5.58638[/C][C]-3.58638[/C][/ROW]
[ROW][C]152[/C][C]8.5[/C][C]6.5004[/C][C]1.9996[/C][/ROW]
[ROW][C]153[/C][C]9[/C][C]6.5004[/C][C]2.4996[/C][/ROW]
[ROW][C]154[/C][C]8.5[/C][C]6.37606[/C][C]2.12394[/C][/ROW]
[ROW][C]155[/C][C]9[/C][C]6.49672[/C][C]2.50328[/C][/ROW]
[ROW][C]156[/C][C]7.5[/C][C]6.62083[/C][C]0.879173[/C][/ROW]
[ROW][C]157[/C][C]10[/C][C]6.57419[/C][C]3.42581[/C][/ROW]
[ROW][C]158[/C][C]9[/C][C]5.95976[/C][C]3.04024[/C][/ROW]
[ROW][C]159[/C][C]7.5[/C][C]6.70343[/C][C]0.796568[/C][/ROW]
[ROW][C]160[/C][C]6[/C][C]6.11572[/C][C]-0.115719[/C][/ROW]
[ROW][C]161[/C][C]10.5[/C][C]6.26161[/C][C]4.23839[/C][/ROW]
[ROW][C]162[/C][C]8.5[/C][C]6.09971[/C][C]2.40029[/C][/ROW]
[ROW][C]163[/C][C]8[/C][C]6.52526[/C][C]1.47474[/C][/ROW]
[ROW][C]164[/C][C]10[/C][C]6.60624[/C][C]3.39376[/C][/ROW]
[ROW][C]165[/C][C]10.5[/C][C]6.96087[/C][C]3.53913[/C][/ROW]
[ROW][C]166[/C][C]6.5[/C][C]5.88836[/C][C]0.611642[/C][/ROW]
[ROW][C]167[/C][C]9.5[/C][C]5.81981[/C][C]3.68019[/C][/ROW]
[ROW][C]168[/C][C]8.5[/C][C]6.14655[/C][C]2.35345[/C][/ROW]
[ROW][C]169[/C][C]7.5[/C][C]6.54521[/C][C]0.954786[/C][/ROW]
[ROW][C]170[/C][C]5[/C][C]6.02014[/C][C]-1.02014[/C][/ROW]
[ROW][C]171[/C][C]8[/C][C]5.96698[/C][C]2.03302[/C][/ROW]
[ROW][C]172[/C][C]10[/C][C]6.26056[/C][C]3.73944[/C][/ROW]
[ROW][C]173[/C][C]7[/C][C]6.04257[/C][C]0.957434[/C][/ROW]
[ROW][C]174[/C][C]7.5[/C][C]6.53326[/C][C]0.966742[/C][/ROW]
[ROW][C]175[/C][C]7.5[/C][C]6.43627[/C][C]1.06373[/C][/ROW]
[ROW][C]176[/C][C]9.5[/C][C]5.77851[/C][C]3.72149[/C][/ROW]
[ROW][C]177[/C][C]6[/C][C]6.61401[/C][C]-0.614007[/C][/ROW]
[ROW][C]178[/C][C]10[/C][C]6.2018[/C][C]3.7982[/C][/ROW]
[ROW][C]179[/C][C]7[/C][C]6.31156[/C][C]0.688444[/C][/ROW]
[ROW][C]180[/C][C]3[/C][C]5.9065[/C][C]-2.9065[/C][/ROW]
[ROW][C]181[/C][C]6[/C][C]6.46872[/C][C]-0.468722[/C][/ROW]
[ROW][C]182[/C][C]7[/C][C]6.47511[/C][C]0.524889[/C][/ROW]
[ROW][C]183[/C][C]10[/C][C]6.09785[/C][C]3.90215[/C][/ROW]
[ROW][C]184[/C][C]7[/C][C]5.95422[/C][C]1.04578[/C][/ROW]
[ROW][C]185[/C][C]3.5[/C][C]6.03858[/C][C]-2.53858[/C][/ROW]
[ROW][C]186[/C][C]8[/C][C]6.31091[/C][C]1.68909[/C][/ROW]
[ROW][C]187[/C][C]10[/C][C]6.20119[/C][C]3.79881[/C][/ROW]
[ROW][C]188[/C][C]5.5[/C][C]6.06435[/C][C]-0.564346[/C][/ROW]
[ROW][C]189[/C][C]6[/C][C]6.17427[/C][C]-0.174269[/C][/ROW]
[ROW][C]190[/C][C]6.5[/C][C]5.8755[/C][C]0.624499[/C][/ROW]
[ROW][C]191[/C][C]6.5[/C][C]6.35286[/C][C]0.147142[/C][/ROW]
[ROW][C]192[/C][C]8.5[/C][C]5.80934[/C][C]2.69066[/C][/ROW]
[ROW][C]193[/C][C]4[/C][C]6.64035[/C][C]-2.64035[/C][/ROW]
[ROW][C]194[/C][C]9.5[/C][C]6.22422[/C][C]3.27578[/C][/ROW]
[ROW][C]195[/C][C]8[/C][C]6.63478[/C][C]1.36522[/C][/ROW]
[ROW][C]196[/C][C]8.5[/C][C]6.8739[/C][C]1.6261[/C][/ROW]
[ROW][C]197[/C][C]5.5[/C][C]5.88229[/C][C]-0.382291[/C][/ROW]
[ROW][C]198[/C][C]7[/C][C]6.26035[/C][C]0.739645[/C][/ROW]
[ROW][C]199[/C][C]9[/C][C]6.26306[/C][C]2.73694[/C][/ROW]
[ROW][C]200[/C][C]8[/C][C]6.39973[/C][C]1.60027[/C][/ROW]
[ROW][C]201[/C][C]10[/C][C]7.93228[/C][C]2.06772[/C][/ROW]
[ROW][C]202[/C][C]8[/C][C]7.05708[/C][C]0.942916[/C][/ROW]
[ROW][C]203[/C][C]6[/C][C]6.1482[/C][C]-0.148203[/C][/ROW]
[ROW][C]204[/C][C]8[/C][C]5.95051[/C][C]2.04949[/C][/ROW]
[ROW][C]205[/C][C]5[/C][C]5.54303[/C][C]-0.543025[/C][/ROW]
[ROW][C]206[/C][C]9[/C][C]5.99181[/C][C]3.00819[/C][/ROW]
[ROW][C]207[/C][C]4.5[/C][C]5.98114[/C][C]-1.48114[/C][/ROW]
[ROW][C]208[/C][C]8.5[/C][C]6.80323[/C][C]1.69677[/C][/ROW]
[ROW][C]209[/C][C]9.5[/C][C]5.81222[/C][C]3.68778[/C][/ROW]
[ROW][C]210[/C][C]8.5[/C][C]5.75693[/C][C]2.74307[/C][/ROW]
[ROW][C]211[/C][C]7.5[/C][C]6.17367[/C][C]1.32633[/C][/ROW]
[ROW][C]212[/C][C]7.5[/C][C]5.97415[/C][C]1.52585[/C][/ROW]
[ROW][C]213[/C][C]5[/C][C]5.87162[/C][C]-0.871617[/C][/ROW]
[ROW][C]214[/C][C]7[/C][C]5.64167[/C][C]1.35833[/C][/ROW]
[ROW][C]215[/C][C]8[/C][C]5.79435[/C][C]2.20565[/C][/ROW]
[ROW][C]216[/C][C]5.5[/C][C]6.68263[/C][C]-1.18263[/C][/ROW]
[ROW][C]217[/C][C]8.5[/C][C]6.32098[/C][C]2.17902[/C][/ROW]
[ROW][C]218[/C][C]9.5[/C][C]6.05841[/C][C]3.44159[/C][/ROW]
[ROW][C]219[/C][C]7[/C][C]5.94926[/C][C]1.05074[/C][/ROW]
[ROW][C]220[/C][C]8[/C][C]6.24334[/C][C]1.75666[/C][/ROW]
[ROW][C]221[/C][C]8.5[/C][C]5.66325[/C][C]2.83675[/C][/ROW]
[ROW][C]222[/C][C]3.5[/C][C]5.53538[/C][C]-2.03538[/C][/ROW]
[ROW][C]223[/C][C]6.5[/C][C]6.52732[/C][C]-0.0273176[/C][/ROW]
[ROW][C]224[/C][C]6.5[/C][C]5.79678[/C][C]0.70322[/C][/ROW]
[ROW][C]225[/C][C]10.5[/C][C]5.95811[/C][C]4.54189[/C][/ROW]
[ROW][C]226[/C][C]8.5[/C][C]6.03364[/C][C]2.46636[/C][/ROW]
[ROW][C]227[/C][C]8[/C][C]6.39787[/C][C]1.60213[/C][/ROW]
[ROW][C]228[/C][C]10[/C][C]6.01011[/C][C]3.98989[/C][/ROW]
[ROW][C]229[/C][C]10[/C][C]5.886[/C][C]4.114[/C][/ROW]
[ROW][C]230[/C][C]9.5[/C][C]6.12497[/C][C]3.37503[/C][/ROW]
[ROW][C]231[/C][C]9[/C][C]6.26697[/C][C]2.73303[/C][/ROW]
[ROW][C]232[/C][C]10[/C][C]6.35326[/C][C]3.64674[/C][/ROW]
[ROW][C]233[/C][C]7.5[/C][C]5.631[/C][C]1.869[/C][/ROW]
[ROW][C]234[/C][C]4.5[/C][C]5.84818[/C][C]-1.34818[/C][/ROW]
[ROW][C]235[/C][C]4.5[/C][C]6.16793[/C][C]-1.66793[/C][/ROW]
[ROW][C]236[/C][C]0.5[/C][C]6.44491[/C][C]-5.94491[/C][/ROW]
[ROW][C]237[/C][C]6.5[/C][C]5.80583[/C][C]0.694171[/C][/ROW]
[ROW][C]238[/C][C]4.5[/C][C]5.76493[/C][C]-1.26493[/C][/ROW]
[ROW][C]239[/C][C]5.5[/C][C]7.69982[/C][C]-2.19982[/C][/ROW]
[ROW][C]240[/C][C]5[/C][C]6.12868[/C][C]-1.12868[/C][/ROW]
[ROW][C]241[/C][C]6[/C][C]6.19322[/C][C]-0.193217[/C][/ROW]
[ROW][C]242[/C][C]4[/C][C]5.31473[/C][C]-1.31473[/C][/ROW]
[ROW][C]243[/C][C]8[/C][C]6.33499[/C][C]1.66501[/C][/ROW]
[ROW][C]244[/C][C]10.5[/C][C]6.2975[/C][C]4.2025[/C][/ROW]
[ROW][C]245[/C][C]6.5[/C][C]6.4414[/C][C]0.0585964[/C][/ROW]
[ROW][C]246[/C][C]8[/C][C]5.65606[/C][C]2.34394[/C][/ROW]
[ROW][C]247[/C][C]8.5[/C][C]6.57376[/C][C]1.92624[/C][/ROW]
[ROW][C]248[/C][C]5.5[/C][C]6.2001[/C][C]-0.700105[/C][/ROW]
[ROW][C]249[/C][C]7[/C][C]6.16279[/C][C]0.83721[/C][/ROW]
[ROW][C]250[/C][C]5[/C][C]6.16279[/C][C]-1.16279[/C][/ROW]
[ROW][C]251[/C][C]3.5[/C][C]5.86996[/C][C]-2.36996[/C][/ROW]
[ROW][C]252[/C][C]5[/C][C]6.02798[/C][C]-1.02798[/C][/ROW]
[ROW][C]253[/C][C]9[/C][C]6.07502[/C][C]2.92498[/C][/ROW]
[ROW][C]254[/C][C]8.5[/C][C]5.95655[/C][C]2.54345[/C][/ROW]
[ROW][C]255[/C][C]5[/C][C]5.91487[/C][C]-0.914872[/C][/ROW]
[ROW][C]256[/C][C]9.5[/C][C]6.25239[/C][C]3.24761[/C][/ROW]
[ROW][C]257[/C][C]3[/C][C]5.84285[/C][C]-2.84285[/C][/ROW]
[ROW][C]258[/C][C]1.5[/C][C]5.51117[/C][C]-4.01117[/C][/ROW]
[ROW][C]259[/C][C]6[/C][C]5.81137[/C][C]0.188633[/C][/ROW]
[ROW][C]260[/C][C]0.5[/C][C]6.64218[/C][C]-6.14218[/C][/ROW]
[ROW][C]261[/C][C]6.5[/C][C]6.81268[/C][C]-0.312676[/C][/ROW]
[ROW][C]262[/C][C]7.5[/C][C]5.82846[/C][C]1.67154[/C][/ROW]
[ROW][C]263[/C][C]4.5[/C][C]6.5184[/C][C]-2.0184[/C][/ROW]
[ROW][C]264[/C][C]8[/C][C]6.24269[/C][C]1.75731[/C][/ROW]
[ROW][C]265[/C][C]9[/C][C]6.23635[/C][C]2.76365[/C][/ROW]
[ROW][C]266[/C][C]7.5[/C][C]6.58135[/C][C]0.918649[/C][/ROW]
[ROW][C]267[/C][C]8.5[/C][C]6.81438[/C][C]1.68562[/C][/ROW]
[ROW][C]268[/C][C]7[/C][C]5.69573[/C][C]1.30427[/C][/ROW]
[ROW][C]269[/C][C]9.5[/C][C]6.25424[/C][C]3.24576[/C][/ROW]
[ROW][C]270[/C][C]6.5[/C][C]6.05861[/C][C]0.441393[/C][/ROW]
[ROW][C]271[/C][C]9.5[/C][C]5.86442[/C][C]3.63558[/C][/ROW]
[ROW][C]272[/C][C]6[/C][C]5.72961[/C][C]0.270388[/C][/ROW]
[ROW][C]273[/C][C]8[/C][C]6.00826[/C][C]1.99174[/C][/ROW]
[ROW][C]274[/C][C]9.5[/C][C]6.09971[/C][C]3.40029[/C][/ROW]
[ROW][C]275[/C][C]8[/C][C]6.30807[/C][C]1.69193[/C][/ROW]
[ROW][C]276[/C][C]8[/C][C]6.65656[/C][C]1.34344[/C][/ROW]
[ROW][C]277[/C][C]9[/C][C]5.91001[/C][C]3.08999[/C][/ROW]
[ROW][C]278[/C][C]5[/C][C]5.96502[/C][C]-0.965022[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266612&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266612&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
17.56.790940.709059
266.43198-0.431982
36.56.65471-0.154706
416.06745-5.06745
516.71924-5.71924
65.56.14364-0.643641
78.55.777062.72294
86.56.66659-0.166587
94.55.5593-1.0593
1027.47382-5.47382
1156.1377-1.1377
120.56.38001-5.88001
1355.53458-0.53458
1455.90573-0.905726
152.55.88067-3.38067
1655.83335-0.833348
175.56.1373-0.637298
183.56.03683-2.53683
1936.43053-3.43053
2045.5901-1.5901
210.56.05307-5.55307
226.56.050160.449839
234.55.98134-1.48134
247.55.947031.55297
255.56.07728-0.577278
2646.01525-2.01525
277.56.076881.42312
2876.309050.690949
2946.23986-2.23986
305.55.72428-0.224275
312.55.77848-3.27848
325.56.33637-0.83637
333.55.89009-2.39009
342.55.97043-3.47043
354.55.86685-1.36685
364.56.38183-1.88183
374.56.02244-1.52244
3866.22091-0.220908
392.56.5906-4.0906
4055.68112-0.681117
4106.78746-6.78746
4256.51273-1.51273
436.56.090660.409341
4455.5948-0.594801
4566.02815-0.0281502
464.56.26863-1.76863
475.56.45579-0.95579
4816.12129-5.12129
497.55.824981.67502
5066.31156-0.311556
5155.79435-0.79435
5216.24762-5.24762
5356.42827-1.42827
546.55.970460.529536
5576.419450.580548
564.56.04402-1.54402
5705.62232-5.62232
588.56.04542.4546
593.56.29717-2.79717
607.56.318751.18125
613.56.36376-2.86376
6266.01545-0.0154484
631.55.4513-3.9513
6496.35842.6416
653.56.37193-2.87193
663.56.23158-2.73158
6745.87776-1.87776
686.56.487670.0123299
697.56.13751.3625
7066.19113-0.191131
7156.42742-1.42742
725.56.29183-0.791833
733.56.39351-2.89351
747.56.787690.712309
756.55.51220.987804
766.56.017480.482524
776.56.419420.0805778
7876.302740.697262
793.55.97557-2.47557
801.55.96675-4.46675
8146.18046-2.18046
827.55.884151.61585
834.55.88948-1.38948
8405.96715-5.96715
853.56.32692-2.82692
865.56.27805-0.77805
8756.25958-1.25958
884.55.69922-1.19922
892.56.06968-3.56968
907.55.876951.62305
9176.31050.689495
9205.97141-5.97141
934.56.18457-1.68457
9435.89289-2.89289
951.56.44286-4.94286
963.56.06745-2.56745
972.56.20818-3.70818
985.56.03412-0.53412
9986.22711.7729
10015.90039-4.90039
10156.07833-1.07833
1024.55.81778-1.31778
10335.89665-2.89665
10435.9758-2.9758
10586.153541.84646
1062.56.27619-3.77619
10776.434810.565186
10805.84818-5.84818
10916.2382-5.2382
1103.56.42479-2.92479
1115.56.13567-0.635673
1125.56.26677-0.766773
1130.56.88671-6.38671
1147.56.428041.07196
11596.024872.97513
1169.56.063943.43606
1178.56.638491.86151
11876.430650.569345
11986.72111.2789
120106.397873.60213
12176.125570.874427
1228.56.250532.24947
12397.001771.99823
1249.55.824983.67502
12546.29903-2.29903
12666.10525-0.105246
12786.1271.873
1285.56.26492-0.764917
1299.56.103423.39658
1307.56.276191.22381
13176.314590.68541
1327.56.098461.40154
13385.896682.10332
13476.087180.912822
13576.307840.692156
13666.55241-0.552407
137106.352863.64714
1382.55.97394-3.47394
13995.967153.03285
14086.908691.09131
14166.14414-0.14414
1428.55.972092.52791
14365.899340.100662
14495.674333.32567
14586.126621.87338
14696.931692.06831
1475.57.03202-1.53202
14876.493010.506993
1495.56.52712-1.02712
15096.503032.49697
15125.58638-3.58638
1528.56.50041.9996
15396.50042.4996
1548.56.376062.12394
15596.496722.50328
1567.56.620830.879173
157106.574193.42581
15895.959763.04024
1597.56.703430.796568
16066.11572-0.115719
16110.56.261614.23839
1628.56.099712.40029
16386.525261.47474
164106.606243.39376
16510.56.960873.53913
1666.55.888360.611642
1679.55.819813.68019
1688.56.146552.35345
1697.56.545210.954786
17056.02014-1.02014
17185.966982.03302
172106.260563.73944
17376.042570.957434
1747.56.533260.966742
1757.56.436271.06373
1769.55.778513.72149
17766.61401-0.614007
178106.20183.7982
17976.311560.688444
18035.9065-2.9065
18166.46872-0.468722
18276.475110.524889
183106.097853.90215
18475.954221.04578
1853.56.03858-2.53858
18686.310911.68909
187106.201193.79881
1885.56.06435-0.564346
18966.17427-0.174269
1906.55.87550.624499
1916.56.352860.147142
1928.55.809342.69066
19346.64035-2.64035
1949.56.224223.27578
19586.634781.36522
1968.56.87391.6261
1975.55.88229-0.382291
19876.260350.739645
19996.263062.73694
20086.399731.60027
201107.932282.06772
20287.057080.942916
20366.1482-0.148203
20485.950512.04949
20555.54303-0.543025
20695.991813.00819
2074.55.98114-1.48114
2088.56.803231.69677
2099.55.812223.68778
2108.55.756932.74307
2117.56.173671.32633
2127.55.974151.52585
21355.87162-0.871617
21475.641671.35833
21585.794352.20565
2165.56.68263-1.18263
2178.56.320982.17902
2189.56.058413.44159
21975.949261.05074
22086.243341.75666
2218.55.663252.83675
2223.55.53538-2.03538
2236.56.52732-0.0273176
2246.55.796780.70322
22510.55.958114.54189
2268.56.033642.46636
22786.397871.60213
228106.010113.98989
229105.8864.114
2309.56.124973.37503
23196.266972.73303
232106.353263.64674
2337.55.6311.869
2344.55.84818-1.34818
2354.56.16793-1.66793
2360.56.44491-5.94491
2376.55.805830.694171
2384.55.76493-1.26493
2395.57.69982-2.19982
24056.12868-1.12868
24166.19322-0.193217
24245.31473-1.31473
24386.334991.66501
24410.56.29754.2025
2456.56.44140.0585964
24685.656062.34394
2478.56.573761.92624
2485.56.2001-0.700105
24976.162790.83721
25056.16279-1.16279
2513.55.86996-2.36996
25256.02798-1.02798
25396.075022.92498
2548.55.956552.54345
25555.91487-0.914872
2569.56.252393.24761
25735.84285-2.84285
2581.55.51117-4.01117
25965.811370.188633
2600.56.64218-6.14218
2616.56.81268-0.312676
2627.55.828461.67154
2634.56.5184-2.0184
26486.242691.75731
26596.236352.76365
2667.56.581350.918649
2678.56.814381.68562
26875.695731.30427
2699.56.254243.24576
2706.56.058610.441393
2719.55.864423.63558
27265.729610.270388
27386.008261.99174
2749.56.099713.40029
27586.308071.69193
27686.656561.34344
27795.910013.08999
27855.96502-0.965022






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
70.711810.576380.28819
80.5744420.8511170.425558
90.5112460.9775080.488754
100.5190050.9619890.480995
110.4143460.8286910.585654
120.4107910.8215830.589209
130.3727140.7454280.627286
140.288450.5769010.71155
150.2286160.4572330.771384
160.1722540.3445080.827746
170.1207920.2415840.879208
180.08811840.1762370.911882
190.06825770.1365150.931742
200.04602480.09204960.953975
210.06542890.1308580.934571
220.0619150.123830.938085
230.04260630.08521260.957394
240.06893540.1378710.931065
250.04969930.09939860.950301
260.03596640.07193290.964034
270.04031410.08062820.959686
280.02882940.05765880.971171
290.02128940.04257870.978711
300.01435070.02870140.985649
310.07038430.1407690.929616
320.05507070.1101410.944929
330.04767510.09535020.952325
340.05516080.1103220.944839
350.04383090.08766180.956169
360.0329480.06589610.967052
370.02441580.04883160.975584
380.01787750.0357550.982122
390.01748120.03496240.982519
400.01241520.02483040.987585
410.03411820.06823640.965882
420.02860470.05720950.971395
430.0291910.0583820.970809
440.02183860.04367710.978161
450.01591110.03182220.984089
460.01322370.02644740.986776
470.009953460.01990690.990047
480.01436270.02872550.985637
490.02416880.04833750.975831
500.02195110.04390230.978049
510.01677020.03354030.98323
520.03852260.07704520.961477
530.03136970.06273940.96863
540.03354620.06709240.966454
550.04330680.08661370.956693
560.03475110.06950220.965249
570.1120460.2240920.887954
580.1177430.2354870.882257
590.1057060.2114120.894294
600.1224490.2448970.877551
610.1104060.2208120.889594
620.09803730.1960750.901963
630.178980.357960.82102
640.2406370.4812740.759363
650.2304130.4608260.769587
660.2201810.4403610.779819
670.1977230.3954460.802277
680.1894530.3789070.810547
690.1938560.3877110.806144
700.1717290.3434590.828271
710.1504070.3008150.849593
720.1318670.2637350.868133
730.1249610.2499220.875039
740.1357270.2714550.864273
750.1214980.2429960.878502
760.1082410.2164830.891759
770.09579950.1915990.904201
780.09476160.1895230.905238
790.09102840.1820570.908972
800.1201610.2403210.879839
810.1096460.2192930.890354
820.1130620.2261250.886938
830.09880670.1976130.901193
840.1854620.3709250.814538
850.1820210.3640420.817979
860.162710.325420.83729
870.1453270.2906540.854673
880.1283240.2566490.871676
890.1400380.2800770.859962
900.1429990.2859980.857001
910.1368330.2736670.863167
920.2517290.5034590.748271
930.2321740.4643480.767826
940.2322950.464590.767705
950.3052990.6105990.694701
960.3007350.6014710.699265
970.3258650.6517290.674135
980.302090.604180.69791
990.3131910.6263810.686809
1000.4114890.8229770.588511
1010.3867310.7734620.613269
1020.3649780.7299550.635022
1030.3837430.7674860.616257
1040.3993080.7986150.600692
1050.4146130.8292260.585387
1060.4564160.9128310.543584
1070.4503510.9007020.549649
1080.6409140.7181720.359086
1090.7578380.4843240.242162
1100.7730110.4539780.226989
1110.7570330.4859340.242967
1120.7412470.5175060.258753
1130.8846450.230710.115355
1140.8792320.2415370.120768
1150.905050.1899010.0949505
1160.9338080.1323840.0661921
1170.9398350.120330.0601649
1180.9365330.1269340.0634671
1190.9365570.1268860.0634429
1200.9586570.08268650.0413433
1210.9552360.08952810.0447641
1220.9585680.0828640.041432
1230.9610350.07793040.0389652
1240.9737730.05245490.0262274
1250.9755860.04882880.0244144
1260.9718380.05632420.0281621
1270.9711710.0576580.028829
1280.9677950.06440950.0322047
1290.9765760.04684840.0234242
1300.9743690.05126260.0256313
1310.9708540.05829250.0291462
1320.9685680.0628630.0314315
1330.9680970.06380560.0319028
1340.9639570.07208610.0360431
1350.9587760.08244820.0412241
1360.9537150.09256930.0462846
1370.9649040.07019150.0350958
1380.975990.04802010.02401
1390.9795910.04081730.0204087
1400.9773490.04530240.0226512
1410.9728250.05435030.0271752
1420.9734990.05300250.0265013
1430.9688930.06221340.0311067
1440.9739290.0521410.0260705
1450.9720790.05584270.0279213
1460.9714280.05714330.0285716
1470.9710810.05783760.0289188
1480.9663660.06726880.0336344
1490.9637630.0724750.0362375
1500.9649580.07008420.0350421
1510.97680.04640040.0232002
1520.9753130.04937430.0246872
1530.9754210.04915790.0245789
1540.9735490.05290210.026451
1550.9735230.05295310.0264766
1560.9691020.06179550.0308977
1570.9737480.05250430.0262521
1580.9759410.04811850.0240592
1590.9714090.05718290.0285914
1600.9665610.06687810.0334391
1610.9766820.04663510.0233176
1620.9756870.04862680.0243134
1630.9716870.05662590.028313
1640.9749120.05017690.0250885
1650.9791210.04175840.0208792
1660.9749850.05003020.0250151
1670.979860.04028030.0201401
1680.9786490.04270240.0213512
1690.9742390.05152130.0257606
1700.9710210.05795740.0289787
1710.9680830.06383440.0319172
1720.9745470.05090590.0254529
1730.969510.06097990.0304899
1740.9634480.07310330.0365517
1750.9566080.08678490.0433924
1760.9640540.07189260.0359463
1770.9582650.08347050.0417352
1780.9661220.06775580.0338779
1790.959090.08182080.0409104
1800.966640.06672020.0333601
1810.9607940.07841220.0392061
1820.9526430.09471380.0473569
1830.961590.07681970.0384099
1840.9542210.09155880.0457794
1850.9592710.08145790.0407289
1860.953360.09327970.0466399
1870.9617430.07651380.0382569
1880.9557630.08847450.0442373
1890.9477480.1045050.0522523
1900.9377010.1245970.0622987
1910.926170.1476610.0738304
1920.9242390.1515210.0757606
1930.9356170.1287660.0643832
1940.9395720.1208570.0604283
1950.9288090.1423820.071191
1960.9186290.1627420.0813708
1970.90740.18520.0926001
1980.8910440.2179120.108956
1990.8872370.2255250.112763
2000.8718360.2563280.128164
2010.8732520.2534960.126748
2020.8535940.2928120.146406
2030.8334190.3331620.166581
2040.8158710.3682570.184129
2050.8026630.3946740.197337
2060.7975740.4048520.202426
2070.7958470.4083050.204153
2080.7784320.4431350.221568
2090.7887770.4224460.211223
2100.7802170.4395660.219783
2110.7525690.4948620.247431
2120.72440.55120.2756
2130.7073510.5852980.292649
2140.6746780.6506440.325322
2150.6503780.6992450.349622
2160.6240060.7519890.375994
2170.6027830.7944330.397217
2180.6133630.7732730.386637
2190.5742360.8515290.425764
2200.5418880.9162250.458112
2210.5307510.9384970.469249
2220.5424140.9151710.457586
2230.5004520.9990960.499548
2240.4575510.9151020.542449
2250.5262690.9474620.473731
2260.5129960.9740090.487004
2270.4760110.9520220.523989
2280.5119790.9760420.488021
2290.5567470.8865070.443253
2300.5778620.8442750.422138
2310.5707760.8584470.429224
2320.6111730.7776540.388827
2330.5791760.8416490.420824
2340.5521930.8956130.447807
2350.5330780.9338450.466922
2360.7774670.4450670.222533
2370.7380570.5238860.261943
2380.7216190.5567620.278381
2390.7299230.5401540.270077
2400.712070.5758590.28793
2410.6782220.6435560.321778
2420.6477940.7044130.352206
2430.6023920.7952170.397608
2440.6924760.6150480.307524
2450.6435580.7128840.356442
2460.6132670.7734660.386733
2470.5697380.8605240.430262
2480.5154680.9690640.484532
2490.456850.9137010.54315
2500.4334290.8668570.566571
2510.4648720.9297440.535128
2520.4376560.8753120.562344
2530.4229160.8458320.577084
2540.5645190.8709610.435481
2550.515990.9680210.48401
2560.4816240.9632480.518376
2570.5686950.862610.431305
2580.8498660.3002670.150134
2590.8025320.3949370.197468
2600.9993160.00136770.000683852
2610.9984240.003151910.00157595
2620.9966040.006792690.00339635
2630.9951160.009767160.00488358
2640.9900380.01992350.00996175
2650.9833790.03324110.0166205
2660.9698090.06038240.0301912
2670.9404170.1191650.0595827
2680.9381630.1236740.0618371
2690.8792190.2415620.120781
2700.9362390.1275220.0637608
2710.8728670.2542660.127133

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
7 & 0.71181 & 0.57638 & 0.28819 \tabularnewline
8 & 0.574442 & 0.851117 & 0.425558 \tabularnewline
9 & 0.511246 & 0.977508 & 0.488754 \tabularnewline
10 & 0.519005 & 0.961989 & 0.480995 \tabularnewline
11 & 0.414346 & 0.828691 & 0.585654 \tabularnewline
12 & 0.410791 & 0.821583 & 0.589209 \tabularnewline
13 & 0.372714 & 0.745428 & 0.627286 \tabularnewline
14 & 0.28845 & 0.576901 & 0.71155 \tabularnewline
15 & 0.228616 & 0.457233 & 0.771384 \tabularnewline
16 & 0.172254 & 0.344508 & 0.827746 \tabularnewline
17 & 0.120792 & 0.241584 & 0.879208 \tabularnewline
18 & 0.0881184 & 0.176237 & 0.911882 \tabularnewline
19 & 0.0682577 & 0.136515 & 0.931742 \tabularnewline
20 & 0.0460248 & 0.0920496 & 0.953975 \tabularnewline
21 & 0.0654289 & 0.130858 & 0.934571 \tabularnewline
22 & 0.061915 & 0.12383 & 0.938085 \tabularnewline
23 & 0.0426063 & 0.0852126 & 0.957394 \tabularnewline
24 & 0.0689354 & 0.137871 & 0.931065 \tabularnewline
25 & 0.0496993 & 0.0993986 & 0.950301 \tabularnewline
26 & 0.0359664 & 0.0719329 & 0.964034 \tabularnewline
27 & 0.0403141 & 0.0806282 & 0.959686 \tabularnewline
28 & 0.0288294 & 0.0576588 & 0.971171 \tabularnewline
29 & 0.0212894 & 0.0425787 & 0.978711 \tabularnewline
30 & 0.0143507 & 0.0287014 & 0.985649 \tabularnewline
31 & 0.0703843 & 0.140769 & 0.929616 \tabularnewline
32 & 0.0550707 & 0.110141 & 0.944929 \tabularnewline
33 & 0.0476751 & 0.0953502 & 0.952325 \tabularnewline
34 & 0.0551608 & 0.110322 & 0.944839 \tabularnewline
35 & 0.0438309 & 0.0876618 & 0.956169 \tabularnewline
36 & 0.032948 & 0.0658961 & 0.967052 \tabularnewline
37 & 0.0244158 & 0.0488316 & 0.975584 \tabularnewline
38 & 0.0178775 & 0.035755 & 0.982122 \tabularnewline
39 & 0.0174812 & 0.0349624 & 0.982519 \tabularnewline
40 & 0.0124152 & 0.0248304 & 0.987585 \tabularnewline
41 & 0.0341182 & 0.0682364 & 0.965882 \tabularnewline
42 & 0.0286047 & 0.0572095 & 0.971395 \tabularnewline
43 & 0.029191 & 0.058382 & 0.970809 \tabularnewline
44 & 0.0218386 & 0.0436771 & 0.978161 \tabularnewline
45 & 0.0159111 & 0.0318222 & 0.984089 \tabularnewline
46 & 0.0132237 & 0.0264474 & 0.986776 \tabularnewline
47 & 0.00995346 & 0.0199069 & 0.990047 \tabularnewline
48 & 0.0143627 & 0.0287255 & 0.985637 \tabularnewline
49 & 0.0241688 & 0.0483375 & 0.975831 \tabularnewline
50 & 0.0219511 & 0.0439023 & 0.978049 \tabularnewline
51 & 0.0167702 & 0.0335403 & 0.98323 \tabularnewline
52 & 0.0385226 & 0.0770452 & 0.961477 \tabularnewline
53 & 0.0313697 & 0.0627394 & 0.96863 \tabularnewline
54 & 0.0335462 & 0.0670924 & 0.966454 \tabularnewline
55 & 0.0433068 & 0.0866137 & 0.956693 \tabularnewline
56 & 0.0347511 & 0.0695022 & 0.965249 \tabularnewline
57 & 0.112046 & 0.224092 & 0.887954 \tabularnewline
58 & 0.117743 & 0.235487 & 0.882257 \tabularnewline
59 & 0.105706 & 0.211412 & 0.894294 \tabularnewline
60 & 0.122449 & 0.244897 & 0.877551 \tabularnewline
61 & 0.110406 & 0.220812 & 0.889594 \tabularnewline
62 & 0.0980373 & 0.196075 & 0.901963 \tabularnewline
63 & 0.17898 & 0.35796 & 0.82102 \tabularnewline
64 & 0.240637 & 0.481274 & 0.759363 \tabularnewline
65 & 0.230413 & 0.460826 & 0.769587 \tabularnewline
66 & 0.220181 & 0.440361 & 0.779819 \tabularnewline
67 & 0.197723 & 0.395446 & 0.802277 \tabularnewline
68 & 0.189453 & 0.378907 & 0.810547 \tabularnewline
69 & 0.193856 & 0.387711 & 0.806144 \tabularnewline
70 & 0.171729 & 0.343459 & 0.828271 \tabularnewline
71 & 0.150407 & 0.300815 & 0.849593 \tabularnewline
72 & 0.131867 & 0.263735 & 0.868133 \tabularnewline
73 & 0.124961 & 0.249922 & 0.875039 \tabularnewline
74 & 0.135727 & 0.271455 & 0.864273 \tabularnewline
75 & 0.121498 & 0.242996 & 0.878502 \tabularnewline
76 & 0.108241 & 0.216483 & 0.891759 \tabularnewline
77 & 0.0957995 & 0.191599 & 0.904201 \tabularnewline
78 & 0.0947616 & 0.189523 & 0.905238 \tabularnewline
79 & 0.0910284 & 0.182057 & 0.908972 \tabularnewline
80 & 0.120161 & 0.240321 & 0.879839 \tabularnewline
81 & 0.109646 & 0.219293 & 0.890354 \tabularnewline
82 & 0.113062 & 0.226125 & 0.886938 \tabularnewline
83 & 0.0988067 & 0.197613 & 0.901193 \tabularnewline
84 & 0.185462 & 0.370925 & 0.814538 \tabularnewline
85 & 0.182021 & 0.364042 & 0.817979 \tabularnewline
86 & 0.16271 & 0.32542 & 0.83729 \tabularnewline
87 & 0.145327 & 0.290654 & 0.854673 \tabularnewline
88 & 0.128324 & 0.256649 & 0.871676 \tabularnewline
89 & 0.140038 & 0.280077 & 0.859962 \tabularnewline
90 & 0.142999 & 0.285998 & 0.857001 \tabularnewline
91 & 0.136833 & 0.273667 & 0.863167 \tabularnewline
92 & 0.251729 & 0.503459 & 0.748271 \tabularnewline
93 & 0.232174 & 0.464348 & 0.767826 \tabularnewline
94 & 0.232295 & 0.46459 & 0.767705 \tabularnewline
95 & 0.305299 & 0.610599 & 0.694701 \tabularnewline
96 & 0.300735 & 0.601471 & 0.699265 \tabularnewline
97 & 0.325865 & 0.651729 & 0.674135 \tabularnewline
98 & 0.30209 & 0.60418 & 0.69791 \tabularnewline
99 & 0.313191 & 0.626381 & 0.686809 \tabularnewline
100 & 0.411489 & 0.822977 & 0.588511 \tabularnewline
101 & 0.386731 & 0.773462 & 0.613269 \tabularnewline
102 & 0.364978 & 0.729955 & 0.635022 \tabularnewline
103 & 0.383743 & 0.767486 & 0.616257 \tabularnewline
104 & 0.399308 & 0.798615 & 0.600692 \tabularnewline
105 & 0.414613 & 0.829226 & 0.585387 \tabularnewline
106 & 0.456416 & 0.912831 & 0.543584 \tabularnewline
107 & 0.450351 & 0.900702 & 0.549649 \tabularnewline
108 & 0.640914 & 0.718172 & 0.359086 \tabularnewline
109 & 0.757838 & 0.484324 & 0.242162 \tabularnewline
110 & 0.773011 & 0.453978 & 0.226989 \tabularnewline
111 & 0.757033 & 0.485934 & 0.242967 \tabularnewline
112 & 0.741247 & 0.517506 & 0.258753 \tabularnewline
113 & 0.884645 & 0.23071 & 0.115355 \tabularnewline
114 & 0.879232 & 0.241537 & 0.120768 \tabularnewline
115 & 0.90505 & 0.189901 & 0.0949505 \tabularnewline
116 & 0.933808 & 0.132384 & 0.0661921 \tabularnewline
117 & 0.939835 & 0.12033 & 0.0601649 \tabularnewline
118 & 0.936533 & 0.126934 & 0.0634671 \tabularnewline
119 & 0.936557 & 0.126886 & 0.0634429 \tabularnewline
120 & 0.958657 & 0.0826865 & 0.0413433 \tabularnewline
121 & 0.955236 & 0.0895281 & 0.0447641 \tabularnewline
122 & 0.958568 & 0.082864 & 0.041432 \tabularnewline
123 & 0.961035 & 0.0779304 & 0.0389652 \tabularnewline
124 & 0.973773 & 0.0524549 & 0.0262274 \tabularnewline
125 & 0.975586 & 0.0488288 & 0.0244144 \tabularnewline
126 & 0.971838 & 0.0563242 & 0.0281621 \tabularnewline
127 & 0.971171 & 0.057658 & 0.028829 \tabularnewline
128 & 0.967795 & 0.0644095 & 0.0322047 \tabularnewline
129 & 0.976576 & 0.0468484 & 0.0234242 \tabularnewline
130 & 0.974369 & 0.0512626 & 0.0256313 \tabularnewline
131 & 0.970854 & 0.0582925 & 0.0291462 \tabularnewline
132 & 0.968568 & 0.062863 & 0.0314315 \tabularnewline
133 & 0.968097 & 0.0638056 & 0.0319028 \tabularnewline
134 & 0.963957 & 0.0720861 & 0.0360431 \tabularnewline
135 & 0.958776 & 0.0824482 & 0.0412241 \tabularnewline
136 & 0.953715 & 0.0925693 & 0.0462846 \tabularnewline
137 & 0.964904 & 0.0701915 & 0.0350958 \tabularnewline
138 & 0.97599 & 0.0480201 & 0.02401 \tabularnewline
139 & 0.979591 & 0.0408173 & 0.0204087 \tabularnewline
140 & 0.977349 & 0.0453024 & 0.0226512 \tabularnewline
141 & 0.972825 & 0.0543503 & 0.0271752 \tabularnewline
142 & 0.973499 & 0.0530025 & 0.0265013 \tabularnewline
143 & 0.968893 & 0.0622134 & 0.0311067 \tabularnewline
144 & 0.973929 & 0.052141 & 0.0260705 \tabularnewline
145 & 0.972079 & 0.0558427 & 0.0279213 \tabularnewline
146 & 0.971428 & 0.0571433 & 0.0285716 \tabularnewline
147 & 0.971081 & 0.0578376 & 0.0289188 \tabularnewline
148 & 0.966366 & 0.0672688 & 0.0336344 \tabularnewline
149 & 0.963763 & 0.072475 & 0.0362375 \tabularnewline
150 & 0.964958 & 0.0700842 & 0.0350421 \tabularnewline
151 & 0.9768 & 0.0464004 & 0.0232002 \tabularnewline
152 & 0.975313 & 0.0493743 & 0.0246872 \tabularnewline
153 & 0.975421 & 0.0491579 & 0.0245789 \tabularnewline
154 & 0.973549 & 0.0529021 & 0.026451 \tabularnewline
155 & 0.973523 & 0.0529531 & 0.0264766 \tabularnewline
156 & 0.969102 & 0.0617955 & 0.0308977 \tabularnewline
157 & 0.973748 & 0.0525043 & 0.0262521 \tabularnewline
158 & 0.975941 & 0.0481185 & 0.0240592 \tabularnewline
159 & 0.971409 & 0.0571829 & 0.0285914 \tabularnewline
160 & 0.966561 & 0.0668781 & 0.0334391 \tabularnewline
161 & 0.976682 & 0.0466351 & 0.0233176 \tabularnewline
162 & 0.975687 & 0.0486268 & 0.0243134 \tabularnewline
163 & 0.971687 & 0.0566259 & 0.028313 \tabularnewline
164 & 0.974912 & 0.0501769 & 0.0250885 \tabularnewline
165 & 0.979121 & 0.0417584 & 0.0208792 \tabularnewline
166 & 0.974985 & 0.0500302 & 0.0250151 \tabularnewline
167 & 0.97986 & 0.0402803 & 0.0201401 \tabularnewline
168 & 0.978649 & 0.0427024 & 0.0213512 \tabularnewline
169 & 0.974239 & 0.0515213 & 0.0257606 \tabularnewline
170 & 0.971021 & 0.0579574 & 0.0289787 \tabularnewline
171 & 0.968083 & 0.0638344 & 0.0319172 \tabularnewline
172 & 0.974547 & 0.0509059 & 0.0254529 \tabularnewline
173 & 0.96951 & 0.0609799 & 0.0304899 \tabularnewline
174 & 0.963448 & 0.0731033 & 0.0365517 \tabularnewline
175 & 0.956608 & 0.0867849 & 0.0433924 \tabularnewline
176 & 0.964054 & 0.0718926 & 0.0359463 \tabularnewline
177 & 0.958265 & 0.0834705 & 0.0417352 \tabularnewline
178 & 0.966122 & 0.0677558 & 0.0338779 \tabularnewline
179 & 0.95909 & 0.0818208 & 0.0409104 \tabularnewline
180 & 0.96664 & 0.0667202 & 0.0333601 \tabularnewline
181 & 0.960794 & 0.0784122 & 0.0392061 \tabularnewline
182 & 0.952643 & 0.0947138 & 0.0473569 \tabularnewline
183 & 0.96159 & 0.0768197 & 0.0384099 \tabularnewline
184 & 0.954221 & 0.0915588 & 0.0457794 \tabularnewline
185 & 0.959271 & 0.0814579 & 0.0407289 \tabularnewline
186 & 0.95336 & 0.0932797 & 0.0466399 \tabularnewline
187 & 0.961743 & 0.0765138 & 0.0382569 \tabularnewline
188 & 0.955763 & 0.0884745 & 0.0442373 \tabularnewline
189 & 0.947748 & 0.104505 & 0.0522523 \tabularnewline
190 & 0.937701 & 0.124597 & 0.0622987 \tabularnewline
191 & 0.92617 & 0.147661 & 0.0738304 \tabularnewline
192 & 0.924239 & 0.151521 & 0.0757606 \tabularnewline
193 & 0.935617 & 0.128766 & 0.0643832 \tabularnewline
194 & 0.939572 & 0.120857 & 0.0604283 \tabularnewline
195 & 0.928809 & 0.142382 & 0.071191 \tabularnewline
196 & 0.918629 & 0.162742 & 0.0813708 \tabularnewline
197 & 0.9074 & 0.1852 & 0.0926001 \tabularnewline
198 & 0.891044 & 0.217912 & 0.108956 \tabularnewline
199 & 0.887237 & 0.225525 & 0.112763 \tabularnewline
200 & 0.871836 & 0.256328 & 0.128164 \tabularnewline
201 & 0.873252 & 0.253496 & 0.126748 \tabularnewline
202 & 0.853594 & 0.292812 & 0.146406 \tabularnewline
203 & 0.833419 & 0.333162 & 0.166581 \tabularnewline
204 & 0.815871 & 0.368257 & 0.184129 \tabularnewline
205 & 0.802663 & 0.394674 & 0.197337 \tabularnewline
206 & 0.797574 & 0.404852 & 0.202426 \tabularnewline
207 & 0.795847 & 0.408305 & 0.204153 \tabularnewline
208 & 0.778432 & 0.443135 & 0.221568 \tabularnewline
209 & 0.788777 & 0.422446 & 0.211223 \tabularnewline
210 & 0.780217 & 0.439566 & 0.219783 \tabularnewline
211 & 0.752569 & 0.494862 & 0.247431 \tabularnewline
212 & 0.7244 & 0.5512 & 0.2756 \tabularnewline
213 & 0.707351 & 0.585298 & 0.292649 \tabularnewline
214 & 0.674678 & 0.650644 & 0.325322 \tabularnewline
215 & 0.650378 & 0.699245 & 0.349622 \tabularnewline
216 & 0.624006 & 0.751989 & 0.375994 \tabularnewline
217 & 0.602783 & 0.794433 & 0.397217 \tabularnewline
218 & 0.613363 & 0.773273 & 0.386637 \tabularnewline
219 & 0.574236 & 0.851529 & 0.425764 \tabularnewline
220 & 0.541888 & 0.916225 & 0.458112 \tabularnewline
221 & 0.530751 & 0.938497 & 0.469249 \tabularnewline
222 & 0.542414 & 0.915171 & 0.457586 \tabularnewline
223 & 0.500452 & 0.999096 & 0.499548 \tabularnewline
224 & 0.457551 & 0.915102 & 0.542449 \tabularnewline
225 & 0.526269 & 0.947462 & 0.473731 \tabularnewline
226 & 0.512996 & 0.974009 & 0.487004 \tabularnewline
227 & 0.476011 & 0.952022 & 0.523989 \tabularnewline
228 & 0.511979 & 0.976042 & 0.488021 \tabularnewline
229 & 0.556747 & 0.886507 & 0.443253 \tabularnewline
230 & 0.577862 & 0.844275 & 0.422138 \tabularnewline
231 & 0.570776 & 0.858447 & 0.429224 \tabularnewline
232 & 0.611173 & 0.777654 & 0.388827 \tabularnewline
233 & 0.579176 & 0.841649 & 0.420824 \tabularnewline
234 & 0.552193 & 0.895613 & 0.447807 \tabularnewline
235 & 0.533078 & 0.933845 & 0.466922 \tabularnewline
236 & 0.777467 & 0.445067 & 0.222533 \tabularnewline
237 & 0.738057 & 0.523886 & 0.261943 \tabularnewline
238 & 0.721619 & 0.556762 & 0.278381 \tabularnewline
239 & 0.729923 & 0.540154 & 0.270077 \tabularnewline
240 & 0.71207 & 0.575859 & 0.28793 \tabularnewline
241 & 0.678222 & 0.643556 & 0.321778 \tabularnewline
242 & 0.647794 & 0.704413 & 0.352206 \tabularnewline
243 & 0.602392 & 0.795217 & 0.397608 \tabularnewline
244 & 0.692476 & 0.615048 & 0.307524 \tabularnewline
245 & 0.643558 & 0.712884 & 0.356442 \tabularnewline
246 & 0.613267 & 0.773466 & 0.386733 \tabularnewline
247 & 0.569738 & 0.860524 & 0.430262 \tabularnewline
248 & 0.515468 & 0.969064 & 0.484532 \tabularnewline
249 & 0.45685 & 0.913701 & 0.54315 \tabularnewline
250 & 0.433429 & 0.866857 & 0.566571 \tabularnewline
251 & 0.464872 & 0.929744 & 0.535128 \tabularnewline
252 & 0.437656 & 0.875312 & 0.562344 \tabularnewline
253 & 0.422916 & 0.845832 & 0.577084 \tabularnewline
254 & 0.564519 & 0.870961 & 0.435481 \tabularnewline
255 & 0.51599 & 0.968021 & 0.48401 \tabularnewline
256 & 0.481624 & 0.963248 & 0.518376 \tabularnewline
257 & 0.568695 & 0.86261 & 0.431305 \tabularnewline
258 & 0.849866 & 0.300267 & 0.150134 \tabularnewline
259 & 0.802532 & 0.394937 & 0.197468 \tabularnewline
260 & 0.999316 & 0.0013677 & 0.000683852 \tabularnewline
261 & 0.998424 & 0.00315191 & 0.00157595 \tabularnewline
262 & 0.996604 & 0.00679269 & 0.00339635 \tabularnewline
263 & 0.995116 & 0.00976716 & 0.00488358 \tabularnewline
264 & 0.990038 & 0.0199235 & 0.00996175 \tabularnewline
265 & 0.983379 & 0.0332411 & 0.0166205 \tabularnewline
266 & 0.969809 & 0.0603824 & 0.0301912 \tabularnewline
267 & 0.940417 & 0.119165 & 0.0595827 \tabularnewline
268 & 0.938163 & 0.123674 & 0.0618371 \tabularnewline
269 & 0.879219 & 0.241562 & 0.120781 \tabularnewline
270 & 0.936239 & 0.127522 & 0.0637608 \tabularnewline
271 & 0.872867 & 0.254266 & 0.127133 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266612&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]0.71181[/C][C]0.57638[/C][C]0.28819[/C][/ROW]
[ROW][C]8[/C][C]0.574442[/C][C]0.851117[/C][C]0.425558[/C][/ROW]
[ROW][C]9[/C][C]0.511246[/C][C]0.977508[/C][C]0.488754[/C][/ROW]
[ROW][C]10[/C][C]0.519005[/C][C]0.961989[/C][C]0.480995[/C][/ROW]
[ROW][C]11[/C][C]0.414346[/C][C]0.828691[/C][C]0.585654[/C][/ROW]
[ROW][C]12[/C][C]0.410791[/C][C]0.821583[/C][C]0.589209[/C][/ROW]
[ROW][C]13[/C][C]0.372714[/C][C]0.745428[/C][C]0.627286[/C][/ROW]
[ROW][C]14[/C][C]0.28845[/C][C]0.576901[/C][C]0.71155[/C][/ROW]
[ROW][C]15[/C][C]0.228616[/C][C]0.457233[/C][C]0.771384[/C][/ROW]
[ROW][C]16[/C][C]0.172254[/C][C]0.344508[/C][C]0.827746[/C][/ROW]
[ROW][C]17[/C][C]0.120792[/C][C]0.241584[/C][C]0.879208[/C][/ROW]
[ROW][C]18[/C][C]0.0881184[/C][C]0.176237[/C][C]0.911882[/C][/ROW]
[ROW][C]19[/C][C]0.0682577[/C][C]0.136515[/C][C]0.931742[/C][/ROW]
[ROW][C]20[/C][C]0.0460248[/C][C]0.0920496[/C][C]0.953975[/C][/ROW]
[ROW][C]21[/C][C]0.0654289[/C][C]0.130858[/C][C]0.934571[/C][/ROW]
[ROW][C]22[/C][C]0.061915[/C][C]0.12383[/C][C]0.938085[/C][/ROW]
[ROW][C]23[/C][C]0.0426063[/C][C]0.0852126[/C][C]0.957394[/C][/ROW]
[ROW][C]24[/C][C]0.0689354[/C][C]0.137871[/C][C]0.931065[/C][/ROW]
[ROW][C]25[/C][C]0.0496993[/C][C]0.0993986[/C][C]0.950301[/C][/ROW]
[ROW][C]26[/C][C]0.0359664[/C][C]0.0719329[/C][C]0.964034[/C][/ROW]
[ROW][C]27[/C][C]0.0403141[/C][C]0.0806282[/C][C]0.959686[/C][/ROW]
[ROW][C]28[/C][C]0.0288294[/C][C]0.0576588[/C][C]0.971171[/C][/ROW]
[ROW][C]29[/C][C]0.0212894[/C][C]0.0425787[/C][C]0.978711[/C][/ROW]
[ROW][C]30[/C][C]0.0143507[/C][C]0.0287014[/C][C]0.985649[/C][/ROW]
[ROW][C]31[/C][C]0.0703843[/C][C]0.140769[/C][C]0.929616[/C][/ROW]
[ROW][C]32[/C][C]0.0550707[/C][C]0.110141[/C][C]0.944929[/C][/ROW]
[ROW][C]33[/C][C]0.0476751[/C][C]0.0953502[/C][C]0.952325[/C][/ROW]
[ROW][C]34[/C][C]0.0551608[/C][C]0.110322[/C][C]0.944839[/C][/ROW]
[ROW][C]35[/C][C]0.0438309[/C][C]0.0876618[/C][C]0.956169[/C][/ROW]
[ROW][C]36[/C][C]0.032948[/C][C]0.0658961[/C][C]0.967052[/C][/ROW]
[ROW][C]37[/C][C]0.0244158[/C][C]0.0488316[/C][C]0.975584[/C][/ROW]
[ROW][C]38[/C][C]0.0178775[/C][C]0.035755[/C][C]0.982122[/C][/ROW]
[ROW][C]39[/C][C]0.0174812[/C][C]0.0349624[/C][C]0.982519[/C][/ROW]
[ROW][C]40[/C][C]0.0124152[/C][C]0.0248304[/C][C]0.987585[/C][/ROW]
[ROW][C]41[/C][C]0.0341182[/C][C]0.0682364[/C][C]0.965882[/C][/ROW]
[ROW][C]42[/C][C]0.0286047[/C][C]0.0572095[/C][C]0.971395[/C][/ROW]
[ROW][C]43[/C][C]0.029191[/C][C]0.058382[/C][C]0.970809[/C][/ROW]
[ROW][C]44[/C][C]0.0218386[/C][C]0.0436771[/C][C]0.978161[/C][/ROW]
[ROW][C]45[/C][C]0.0159111[/C][C]0.0318222[/C][C]0.984089[/C][/ROW]
[ROW][C]46[/C][C]0.0132237[/C][C]0.0264474[/C][C]0.986776[/C][/ROW]
[ROW][C]47[/C][C]0.00995346[/C][C]0.0199069[/C][C]0.990047[/C][/ROW]
[ROW][C]48[/C][C]0.0143627[/C][C]0.0287255[/C][C]0.985637[/C][/ROW]
[ROW][C]49[/C][C]0.0241688[/C][C]0.0483375[/C][C]0.975831[/C][/ROW]
[ROW][C]50[/C][C]0.0219511[/C][C]0.0439023[/C][C]0.978049[/C][/ROW]
[ROW][C]51[/C][C]0.0167702[/C][C]0.0335403[/C][C]0.98323[/C][/ROW]
[ROW][C]52[/C][C]0.0385226[/C][C]0.0770452[/C][C]0.961477[/C][/ROW]
[ROW][C]53[/C][C]0.0313697[/C][C]0.0627394[/C][C]0.96863[/C][/ROW]
[ROW][C]54[/C][C]0.0335462[/C][C]0.0670924[/C][C]0.966454[/C][/ROW]
[ROW][C]55[/C][C]0.0433068[/C][C]0.0866137[/C][C]0.956693[/C][/ROW]
[ROW][C]56[/C][C]0.0347511[/C][C]0.0695022[/C][C]0.965249[/C][/ROW]
[ROW][C]57[/C][C]0.112046[/C][C]0.224092[/C][C]0.887954[/C][/ROW]
[ROW][C]58[/C][C]0.117743[/C][C]0.235487[/C][C]0.882257[/C][/ROW]
[ROW][C]59[/C][C]0.105706[/C][C]0.211412[/C][C]0.894294[/C][/ROW]
[ROW][C]60[/C][C]0.122449[/C][C]0.244897[/C][C]0.877551[/C][/ROW]
[ROW][C]61[/C][C]0.110406[/C][C]0.220812[/C][C]0.889594[/C][/ROW]
[ROW][C]62[/C][C]0.0980373[/C][C]0.196075[/C][C]0.901963[/C][/ROW]
[ROW][C]63[/C][C]0.17898[/C][C]0.35796[/C][C]0.82102[/C][/ROW]
[ROW][C]64[/C][C]0.240637[/C][C]0.481274[/C][C]0.759363[/C][/ROW]
[ROW][C]65[/C][C]0.230413[/C][C]0.460826[/C][C]0.769587[/C][/ROW]
[ROW][C]66[/C][C]0.220181[/C][C]0.440361[/C][C]0.779819[/C][/ROW]
[ROW][C]67[/C][C]0.197723[/C][C]0.395446[/C][C]0.802277[/C][/ROW]
[ROW][C]68[/C][C]0.189453[/C][C]0.378907[/C][C]0.810547[/C][/ROW]
[ROW][C]69[/C][C]0.193856[/C][C]0.387711[/C][C]0.806144[/C][/ROW]
[ROW][C]70[/C][C]0.171729[/C][C]0.343459[/C][C]0.828271[/C][/ROW]
[ROW][C]71[/C][C]0.150407[/C][C]0.300815[/C][C]0.849593[/C][/ROW]
[ROW][C]72[/C][C]0.131867[/C][C]0.263735[/C][C]0.868133[/C][/ROW]
[ROW][C]73[/C][C]0.124961[/C][C]0.249922[/C][C]0.875039[/C][/ROW]
[ROW][C]74[/C][C]0.135727[/C][C]0.271455[/C][C]0.864273[/C][/ROW]
[ROW][C]75[/C][C]0.121498[/C][C]0.242996[/C][C]0.878502[/C][/ROW]
[ROW][C]76[/C][C]0.108241[/C][C]0.216483[/C][C]0.891759[/C][/ROW]
[ROW][C]77[/C][C]0.0957995[/C][C]0.191599[/C][C]0.904201[/C][/ROW]
[ROW][C]78[/C][C]0.0947616[/C][C]0.189523[/C][C]0.905238[/C][/ROW]
[ROW][C]79[/C][C]0.0910284[/C][C]0.182057[/C][C]0.908972[/C][/ROW]
[ROW][C]80[/C][C]0.120161[/C][C]0.240321[/C][C]0.879839[/C][/ROW]
[ROW][C]81[/C][C]0.109646[/C][C]0.219293[/C][C]0.890354[/C][/ROW]
[ROW][C]82[/C][C]0.113062[/C][C]0.226125[/C][C]0.886938[/C][/ROW]
[ROW][C]83[/C][C]0.0988067[/C][C]0.197613[/C][C]0.901193[/C][/ROW]
[ROW][C]84[/C][C]0.185462[/C][C]0.370925[/C][C]0.814538[/C][/ROW]
[ROW][C]85[/C][C]0.182021[/C][C]0.364042[/C][C]0.817979[/C][/ROW]
[ROW][C]86[/C][C]0.16271[/C][C]0.32542[/C][C]0.83729[/C][/ROW]
[ROW][C]87[/C][C]0.145327[/C][C]0.290654[/C][C]0.854673[/C][/ROW]
[ROW][C]88[/C][C]0.128324[/C][C]0.256649[/C][C]0.871676[/C][/ROW]
[ROW][C]89[/C][C]0.140038[/C][C]0.280077[/C][C]0.859962[/C][/ROW]
[ROW][C]90[/C][C]0.142999[/C][C]0.285998[/C][C]0.857001[/C][/ROW]
[ROW][C]91[/C][C]0.136833[/C][C]0.273667[/C][C]0.863167[/C][/ROW]
[ROW][C]92[/C][C]0.251729[/C][C]0.503459[/C][C]0.748271[/C][/ROW]
[ROW][C]93[/C][C]0.232174[/C][C]0.464348[/C][C]0.767826[/C][/ROW]
[ROW][C]94[/C][C]0.232295[/C][C]0.46459[/C][C]0.767705[/C][/ROW]
[ROW][C]95[/C][C]0.305299[/C][C]0.610599[/C][C]0.694701[/C][/ROW]
[ROW][C]96[/C][C]0.300735[/C][C]0.601471[/C][C]0.699265[/C][/ROW]
[ROW][C]97[/C][C]0.325865[/C][C]0.651729[/C][C]0.674135[/C][/ROW]
[ROW][C]98[/C][C]0.30209[/C][C]0.60418[/C][C]0.69791[/C][/ROW]
[ROW][C]99[/C][C]0.313191[/C][C]0.626381[/C][C]0.686809[/C][/ROW]
[ROW][C]100[/C][C]0.411489[/C][C]0.822977[/C][C]0.588511[/C][/ROW]
[ROW][C]101[/C][C]0.386731[/C][C]0.773462[/C][C]0.613269[/C][/ROW]
[ROW][C]102[/C][C]0.364978[/C][C]0.729955[/C][C]0.635022[/C][/ROW]
[ROW][C]103[/C][C]0.383743[/C][C]0.767486[/C][C]0.616257[/C][/ROW]
[ROW][C]104[/C][C]0.399308[/C][C]0.798615[/C][C]0.600692[/C][/ROW]
[ROW][C]105[/C][C]0.414613[/C][C]0.829226[/C][C]0.585387[/C][/ROW]
[ROW][C]106[/C][C]0.456416[/C][C]0.912831[/C][C]0.543584[/C][/ROW]
[ROW][C]107[/C][C]0.450351[/C][C]0.900702[/C][C]0.549649[/C][/ROW]
[ROW][C]108[/C][C]0.640914[/C][C]0.718172[/C][C]0.359086[/C][/ROW]
[ROW][C]109[/C][C]0.757838[/C][C]0.484324[/C][C]0.242162[/C][/ROW]
[ROW][C]110[/C][C]0.773011[/C][C]0.453978[/C][C]0.226989[/C][/ROW]
[ROW][C]111[/C][C]0.757033[/C][C]0.485934[/C][C]0.242967[/C][/ROW]
[ROW][C]112[/C][C]0.741247[/C][C]0.517506[/C][C]0.258753[/C][/ROW]
[ROW][C]113[/C][C]0.884645[/C][C]0.23071[/C][C]0.115355[/C][/ROW]
[ROW][C]114[/C][C]0.879232[/C][C]0.241537[/C][C]0.120768[/C][/ROW]
[ROW][C]115[/C][C]0.90505[/C][C]0.189901[/C][C]0.0949505[/C][/ROW]
[ROW][C]116[/C][C]0.933808[/C][C]0.132384[/C][C]0.0661921[/C][/ROW]
[ROW][C]117[/C][C]0.939835[/C][C]0.12033[/C][C]0.0601649[/C][/ROW]
[ROW][C]118[/C][C]0.936533[/C][C]0.126934[/C][C]0.0634671[/C][/ROW]
[ROW][C]119[/C][C]0.936557[/C][C]0.126886[/C][C]0.0634429[/C][/ROW]
[ROW][C]120[/C][C]0.958657[/C][C]0.0826865[/C][C]0.0413433[/C][/ROW]
[ROW][C]121[/C][C]0.955236[/C][C]0.0895281[/C][C]0.0447641[/C][/ROW]
[ROW][C]122[/C][C]0.958568[/C][C]0.082864[/C][C]0.041432[/C][/ROW]
[ROW][C]123[/C][C]0.961035[/C][C]0.0779304[/C][C]0.0389652[/C][/ROW]
[ROW][C]124[/C][C]0.973773[/C][C]0.0524549[/C][C]0.0262274[/C][/ROW]
[ROW][C]125[/C][C]0.975586[/C][C]0.0488288[/C][C]0.0244144[/C][/ROW]
[ROW][C]126[/C][C]0.971838[/C][C]0.0563242[/C][C]0.0281621[/C][/ROW]
[ROW][C]127[/C][C]0.971171[/C][C]0.057658[/C][C]0.028829[/C][/ROW]
[ROW][C]128[/C][C]0.967795[/C][C]0.0644095[/C][C]0.0322047[/C][/ROW]
[ROW][C]129[/C][C]0.976576[/C][C]0.0468484[/C][C]0.0234242[/C][/ROW]
[ROW][C]130[/C][C]0.974369[/C][C]0.0512626[/C][C]0.0256313[/C][/ROW]
[ROW][C]131[/C][C]0.970854[/C][C]0.0582925[/C][C]0.0291462[/C][/ROW]
[ROW][C]132[/C][C]0.968568[/C][C]0.062863[/C][C]0.0314315[/C][/ROW]
[ROW][C]133[/C][C]0.968097[/C][C]0.0638056[/C][C]0.0319028[/C][/ROW]
[ROW][C]134[/C][C]0.963957[/C][C]0.0720861[/C][C]0.0360431[/C][/ROW]
[ROW][C]135[/C][C]0.958776[/C][C]0.0824482[/C][C]0.0412241[/C][/ROW]
[ROW][C]136[/C][C]0.953715[/C][C]0.0925693[/C][C]0.0462846[/C][/ROW]
[ROW][C]137[/C][C]0.964904[/C][C]0.0701915[/C][C]0.0350958[/C][/ROW]
[ROW][C]138[/C][C]0.97599[/C][C]0.0480201[/C][C]0.02401[/C][/ROW]
[ROW][C]139[/C][C]0.979591[/C][C]0.0408173[/C][C]0.0204087[/C][/ROW]
[ROW][C]140[/C][C]0.977349[/C][C]0.0453024[/C][C]0.0226512[/C][/ROW]
[ROW][C]141[/C][C]0.972825[/C][C]0.0543503[/C][C]0.0271752[/C][/ROW]
[ROW][C]142[/C][C]0.973499[/C][C]0.0530025[/C][C]0.0265013[/C][/ROW]
[ROW][C]143[/C][C]0.968893[/C][C]0.0622134[/C][C]0.0311067[/C][/ROW]
[ROW][C]144[/C][C]0.973929[/C][C]0.052141[/C][C]0.0260705[/C][/ROW]
[ROW][C]145[/C][C]0.972079[/C][C]0.0558427[/C][C]0.0279213[/C][/ROW]
[ROW][C]146[/C][C]0.971428[/C][C]0.0571433[/C][C]0.0285716[/C][/ROW]
[ROW][C]147[/C][C]0.971081[/C][C]0.0578376[/C][C]0.0289188[/C][/ROW]
[ROW][C]148[/C][C]0.966366[/C][C]0.0672688[/C][C]0.0336344[/C][/ROW]
[ROW][C]149[/C][C]0.963763[/C][C]0.072475[/C][C]0.0362375[/C][/ROW]
[ROW][C]150[/C][C]0.964958[/C][C]0.0700842[/C][C]0.0350421[/C][/ROW]
[ROW][C]151[/C][C]0.9768[/C][C]0.0464004[/C][C]0.0232002[/C][/ROW]
[ROW][C]152[/C][C]0.975313[/C][C]0.0493743[/C][C]0.0246872[/C][/ROW]
[ROW][C]153[/C][C]0.975421[/C][C]0.0491579[/C][C]0.0245789[/C][/ROW]
[ROW][C]154[/C][C]0.973549[/C][C]0.0529021[/C][C]0.026451[/C][/ROW]
[ROW][C]155[/C][C]0.973523[/C][C]0.0529531[/C][C]0.0264766[/C][/ROW]
[ROW][C]156[/C][C]0.969102[/C][C]0.0617955[/C][C]0.0308977[/C][/ROW]
[ROW][C]157[/C][C]0.973748[/C][C]0.0525043[/C][C]0.0262521[/C][/ROW]
[ROW][C]158[/C][C]0.975941[/C][C]0.0481185[/C][C]0.0240592[/C][/ROW]
[ROW][C]159[/C][C]0.971409[/C][C]0.0571829[/C][C]0.0285914[/C][/ROW]
[ROW][C]160[/C][C]0.966561[/C][C]0.0668781[/C][C]0.0334391[/C][/ROW]
[ROW][C]161[/C][C]0.976682[/C][C]0.0466351[/C][C]0.0233176[/C][/ROW]
[ROW][C]162[/C][C]0.975687[/C][C]0.0486268[/C][C]0.0243134[/C][/ROW]
[ROW][C]163[/C][C]0.971687[/C][C]0.0566259[/C][C]0.028313[/C][/ROW]
[ROW][C]164[/C][C]0.974912[/C][C]0.0501769[/C][C]0.0250885[/C][/ROW]
[ROW][C]165[/C][C]0.979121[/C][C]0.0417584[/C][C]0.0208792[/C][/ROW]
[ROW][C]166[/C][C]0.974985[/C][C]0.0500302[/C][C]0.0250151[/C][/ROW]
[ROW][C]167[/C][C]0.97986[/C][C]0.0402803[/C][C]0.0201401[/C][/ROW]
[ROW][C]168[/C][C]0.978649[/C][C]0.0427024[/C][C]0.0213512[/C][/ROW]
[ROW][C]169[/C][C]0.974239[/C][C]0.0515213[/C][C]0.0257606[/C][/ROW]
[ROW][C]170[/C][C]0.971021[/C][C]0.0579574[/C][C]0.0289787[/C][/ROW]
[ROW][C]171[/C][C]0.968083[/C][C]0.0638344[/C][C]0.0319172[/C][/ROW]
[ROW][C]172[/C][C]0.974547[/C][C]0.0509059[/C][C]0.0254529[/C][/ROW]
[ROW][C]173[/C][C]0.96951[/C][C]0.0609799[/C][C]0.0304899[/C][/ROW]
[ROW][C]174[/C][C]0.963448[/C][C]0.0731033[/C][C]0.0365517[/C][/ROW]
[ROW][C]175[/C][C]0.956608[/C][C]0.0867849[/C][C]0.0433924[/C][/ROW]
[ROW][C]176[/C][C]0.964054[/C][C]0.0718926[/C][C]0.0359463[/C][/ROW]
[ROW][C]177[/C][C]0.958265[/C][C]0.0834705[/C][C]0.0417352[/C][/ROW]
[ROW][C]178[/C][C]0.966122[/C][C]0.0677558[/C][C]0.0338779[/C][/ROW]
[ROW][C]179[/C][C]0.95909[/C][C]0.0818208[/C][C]0.0409104[/C][/ROW]
[ROW][C]180[/C][C]0.96664[/C][C]0.0667202[/C][C]0.0333601[/C][/ROW]
[ROW][C]181[/C][C]0.960794[/C][C]0.0784122[/C][C]0.0392061[/C][/ROW]
[ROW][C]182[/C][C]0.952643[/C][C]0.0947138[/C][C]0.0473569[/C][/ROW]
[ROW][C]183[/C][C]0.96159[/C][C]0.0768197[/C][C]0.0384099[/C][/ROW]
[ROW][C]184[/C][C]0.954221[/C][C]0.0915588[/C][C]0.0457794[/C][/ROW]
[ROW][C]185[/C][C]0.959271[/C][C]0.0814579[/C][C]0.0407289[/C][/ROW]
[ROW][C]186[/C][C]0.95336[/C][C]0.0932797[/C][C]0.0466399[/C][/ROW]
[ROW][C]187[/C][C]0.961743[/C][C]0.0765138[/C][C]0.0382569[/C][/ROW]
[ROW][C]188[/C][C]0.955763[/C][C]0.0884745[/C][C]0.0442373[/C][/ROW]
[ROW][C]189[/C][C]0.947748[/C][C]0.104505[/C][C]0.0522523[/C][/ROW]
[ROW][C]190[/C][C]0.937701[/C][C]0.124597[/C][C]0.0622987[/C][/ROW]
[ROW][C]191[/C][C]0.92617[/C][C]0.147661[/C][C]0.0738304[/C][/ROW]
[ROW][C]192[/C][C]0.924239[/C][C]0.151521[/C][C]0.0757606[/C][/ROW]
[ROW][C]193[/C][C]0.935617[/C][C]0.128766[/C][C]0.0643832[/C][/ROW]
[ROW][C]194[/C][C]0.939572[/C][C]0.120857[/C][C]0.0604283[/C][/ROW]
[ROW][C]195[/C][C]0.928809[/C][C]0.142382[/C][C]0.071191[/C][/ROW]
[ROW][C]196[/C][C]0.918629[/C][C]0.162742[/C][C]0.0813708[/C][/ROW]
[ROW][C]197[/C][C]0.9074[/C][C]0.1852[/C][C]0.0926001[/C][/ROW]
[ROW][C]198[/C][C]0.891044[/C][C]0.217912[/C][C]0.108956[/C][/ROW]
[ROW][C]199[/C][C]0.887237[/C][C]0.225525[/C][C]0.112763[/C][/ROW]
[ROW][C]200[/C][C]0.871836[/C][C]0.256328[/C][C]0.128164[/C][/ROW]
[ROW][C]201[/C][C]0.873252[/C][C]0.253496[/C][C]0.126748[/C][/ROW]
[ROW][C]202[/C][C]0.853594[/C][C]0.292812[/C][C]0.146406[/C][/ROW]
[ROW][C]203[/C][C]0.833419[/C][C]0.333162[/C][C]0.166581[/C][/ROW]
[ROW][C]204[/C][C]0.815871[/C][C]0.368257[/C][C]0.184129[/C][/ROW]
[ROW][C]205[/C][C]0.802663[/C][C]0.394674[/C][C]0.197337[/C][/ROW]
[ROW][C]206[/C][C]0.797574[/C][C]0.404852[/C][C]0.202426[/C][/ROW]
[ROW][C]207[/C][C]0.795847[/C][C]0.408305[/C][C]0.204153[/C][/ROW]
[ROW][C]208[/C][C]0.778432[/C][C]0.443135[/C][C]0.221568[/C][/ROW]
[ROW][C]209[/C][C]0.788777[/C][C]0.422446[/C][C]0.211223[/C][/ROW]
[ROW][C]210[/C][C]0.780217[/C][C]0.439566[/C][C]0.219783[/C][/ROW]
[ROW][C]211[/C][C]0.752569[/C][C]0.494862[/C][C]0.247431[/C][/ROW]
[ROW][C]212[/C][C]0.7244[/C][C]0.5512[/C][C]0.2756[/C][/ROW]
[ROW][C]213[/C][C]0.707351[/C][C]0.585298[/C][C]0.292649[/C][/ROW]
[ROW][C]214[/C][C]0.674678[/C][C]0.650644[/C][C]0.325322[/C][/ROW]
[ROW][C]215[/C][C]0.650378[/C][C]0.699245[/C][C]0.349622[/C][/ROW]
[ROW][C]216[/C][C]0.624006[/C][C]0.751989[/C][C]0.375994[/C][/ROW]
[ROW][C]217[/C][C]0.602783[/C][C]0.794433[/C][C]0.397217[/C][/ROW]
[ROW][C]218[/C][C]0.613363[/C][C]0.773273[/C][C]0.386637[/C][/ROW]
[ROW][C]219[/C][C]0.574236[/C][C]0.851529[/C][C]0.425764[/C][/ROW]
[ROW][C]220[/C][C]0.541888[/C][C]0.916225[/C][C]0.458112[/C][/ROW]
[ROW][C]221[/C][C]0.530751[/C][C]0.938497[/C][C]0.469249[/C][/ROW]
[ROW][C]222[/C][C]0.542414[/C][C]0.915171[/C][C]0.457586[/C][/ROW]
[ROW][C]223[/C][C]0.500452[/C][C]0.999096[/C][C]0.499548[/C][/ROW]
[ROW][C]224[/C][C]0.457551[/C][C]0.915102[/C][C]0.542449[/C][/ROW]
[ROW][C]225[/C][C]0.526269[/C][C]0.947462[/C][C]0.473731[/C][/ROW]
[ROW][C]226[/C][C]0.512996[/C][C]0.974009[/C][C]0.487004[/C][/ROW]
[ROW][C]227[/C][C]0.476011[/C][C]0.952022[/C][C]0.523989[/C][/ROW]
[ROW][C]228[/C][C]0.511979[/C][C]0.976042[/C][C]0.488021[/C][/ROW]
[ROW][C]229[/C][C]0.556747[/C][C]0.886507[/C][C]0.443253[/C][/ROW]
[ROW][C]230[/C][C]0.577862[/C][C]0.844275[/C][C]0.422138[/C][/ROW]
[ROW][C]231[/C][C]0.570776[/C][C]0.858447[/C][C]0.429224[/C][/ROW]
[ROW][C]232[/C][C]0.611173[/C][C]0.777654[/C][C]0.388827[/C][/ROW]
[ROW][C]233[/C][C]0.579176[/C][C]0.841649[/C][C]0.420824[/C][/ROW]
[ROW][C]234[/C][C]0.552193[/C][C]0.895613[/C][C]0.447807[/C][/ROW]
[ROW][C]235[/C][C]0.533078[/C][C]0.933845[/C][C]0.466922[/C][/ROW]
[ROW][C]236[/C][C]0.777467[/C][C]0.445067[/C][C]0.222533[/C][/ROW]
[ROW][C]237[/C][C]0.738057[/C][C]0.523886[/C][C]0.261943[/C][/ROW]
[ROW][C]238[/C][C]0.721619[/C][C]0.556762[/C][C]0.278381[/C][/ROW]
[ROW][C]239[/C][C]0.729923[/C][C]0.540154[/C][C]0.270077[/C][/ROW]
[ROW][C]240[/C][C]0.71207[/C][C]0.575859[/C][C]0.28793[/C][/ROW]
[ROW][C]241[/C][C]0.678222[/C][C]0.643556[/C][C]0.321778[/C][/ROW]
[ROW][C]242[/C][C]0.647794[/C][C]0.704413[/C][C]0.352206[/C][/ROW]
[ROW][C]243[/C][C]0.602392[/C][C]0.795217[/C][C]0.397608[/C][/ROW]
[ROW][C]244[/C][C]0.692476[/C][C]0.615048[/C][C]0.307524[/C][/ROW]
[ROW][C]245[/C][C]0.643558[/C][C]0.712884[/C][C]0.356442[/C][/ROW]
[ROW][C]246[/C][C]0.613267[/C][C]0.773466[/C][C]0.386733[/C][/ROW]
[ROW][C]247[/C][C]0.569738[/C][C]0.860524[/C][C]0.430262[/C][/ROW]
[ROW][C]248[/C][C]0.515468[/C][C]0.969064[/C][C]0.484532[/C][/ROW]
[ROW][C]249[/C][C]0.45685[/C][C]0.913701[/C][C]0.54315[/C][/ROW]
[ROW][C]250[/C][C]0.433429[/C][C]0.866857[/C][C]0.566571[/C][/ROW]
[ROW][C]251[/C][C]0.464872[/C][C]0.929744[/C][C]0.535128[/C][/ROW]
[ROW][C]252[/C][C]0.437656[/C][C]0.875312[/C][C]0.562344[/C][/ROW]
[ROW][C]253[/C][C]0.422916[/C][C]0.845832[/C][C]0.577084[/C][/ROW]
[ROW][C]254[/C][C]0.564519[/C][C]0.870961[/C][C]0.435481[/C][/ROW]
[ROW][C]255[/C][C]0.51599[/C][C]0.968021[/C][C]0.48401[/C][/ROW]
[ROW][C]256[/C][C]0.481624[/C][C]0.963248[/C][C]0.518376[/C][/ROW]
[ROW][C]257[/C][C]0.568695[/C][C]0.86261[/C][C]0.431305[/C][/ROW]
[ROW][C]258[/C][C]0.849866[/C][C]0.300267[/C][C]0.150134[/C][/ROW]
[ROW][C]259[/C][C]0.802532[/C][C]0.394937[/C][C]0.197468[/C][/ROW]
[ROW][C]260[/C][C]0.999316[/C][C]0.0013677[/C][C]0.000683852[/C][/ROW]
[ROW][C]261[/C][C]0.998424[/C][C]0.00315191[/C][C]0.00157595[/C][/ROW]
[ROW][C]262[/C][C]0.996604[/C][C]0.00679269[/C][C]0.00339635[/C][/ROW]
[ROW][C]263[/C][C]0.995116[/C][C]0.00976716[/C][C]0.00488358[/C][/ROW]
[ROW][C]264[/C][C]0.990038[/C][C]0.0199235[/C][C]0.00996175[/C][/ROW]
[ROW][C]265[/C][C]0.983379[/C][C]0.0332411[/C][C]0.0166205[/C][/ROW]
[ROW][C]266[/C][C]0.969809[/C][C]0.0603824[/C][C]0.0301912[/C][/ROW]
[ROW][C]267[/C][C]0.940417[/C][C]0.119165[/C][C]0.0595827[/C][/ROW]
[ROW][C]268[/C][C]0.938163[/C][C]0.123674[/C][C]0.0618371[/C][/ROW]
[ROW][C]269[/C][C]0.879219[/C][C]0.241562[/C][C]0.120781[/C][/ROW]
[ROW][C]270[/C][C]0.936239[/C][C]0.127522[/C][C]0.0637608[/C][/ROW]
[ROW][C]271[/C][C]0.872867[/C][C]0.254266[/C][C]0.127133[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266612&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266612&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
70.711810.576380.28819
80.5744420.8511170.425558
90.5112460.9775080.488754
100.5190050.9619890.480995
110.4143460.8286910.585654
120.4107910.8215830.589209
130.3727140.7454280.627286
140.288450.5769010.71155
150.2286160.4572330.771384
160.1722540.3445080.827746
170.1207920.2415840.879208
180.08811840.1762370.911882
190.06825770.1365150.931742
200.04602480.09204960.953975
210.06542890.1308580.934571
220.0619150.123830.938085
230.04260630.08521260.957394
240.06893540.1378710.931065
250.04969930.09939860.950301
260.03596640.07193290.964034
270.04031410.08062820.959686
280.02882940.05765880.971171
290.02128940.04257870.978711
300.01435070.02870140.985649
310.07038430.1407690.929616
320.05507070.1101410.944929
330.04767510.09535020.952325
340.05516080.1103220.944839
350.04383090.08766180.956169
360.0329480.06589610.967052
370.02441580.04883160.975584
380.01787750.0357550.982122
390.01748120.03496240.982519
400.01241520.02483040.987585
410.03411820.06823640.965882
420.02860470.05720950.971395
430.0291910.0583820.970809
440.02183860.04367710.978161
450.01591110.03182220.984089
460.01322370.02644740.986776
470.009953460.01990690.990047
480.01436270.02872550.985637
490.02416880.04833750.975831
500.02195110.04390230.978049
510.01677020.03354030.98323
520.03852260.07704520.961477
530.03136970.06273940.96863
540.03354620.06709240.966454
550.04330680.08661370.956693
560.03475110.06950220.965249
570.1120460.2240920.887954
580.1177430.2354870.882257
590.1057060.2114120.894294
600.1224490.2448970.877551
610.1104060.2208120.889594
620.09803730.1960750.901963
630.178980.357960.82102
640.2406370.4812740.759363
650.2304130.4608260.769587
660.2201810.4403610.779819
670.1977230.3954460.802277
680.1894530.3789070.810547
690.1938560.3877110.806144
700.1717290.3434590.828271
710.1504070.3008150.849593
720.1318670.2637350.868133
730.1249610.2499220.875039
740.1357270.2714550.864273
750.1214980.2429960.878502
760.1082410.2164830.891759
770.09579950.1915990.904201
780.09476160.1895230.905238
790.09102840.1820570.908972
800.1201610.2403210.879839
810.1096460.2192930.890354
820.1130620.2261250.886938
830.09880670.1976130.901193
840.1854620.3709250.814538
850.1820210.3640420.817979
860.162710.325420.83729
870.1453270.2906540.854673
880.1283240.2566490.871676
890.1400380.2800770.859962
900.1429990.2859980.857001
910.1368330.2736670.863167
920.2517290.5034590.748271
930.2321740.4643480.767826
940.2322950.464590.767705
950.3052990.6105990.694701
960.3007350.6014710.699265
970.3258650.6517290.674135
980.302090.604180.69791
990.3131910.6263810.686809
1000.4114890.8229770.588511
1010.3867310.7734620.613269
1020.3649780.7299550.635022
1030.3837430.7674860.616257
1040.3993080.7986150.600692
1050.4146130.8292260.585387
1060.4564160.9128310.543584
1070.4503510.9007020.549649
1080.6409140.7181720.359086
1090.7578380.4843240.242162
1100.7730110.4539780.226989
1110.7570330.4859340.242967
1120.7412470.5175060.258753
1130.8846450.230710.115355
1140.8792320.2415370.120768
1150.905050.1899010.0949505
1160.9338080.1323840.0661921
1170.9398350.120330.0601649
1180.9365330.1269340.0634671
1190.9365570.1268860.0634429
1200.9586570.08268650.0413433
1210.9552360.08952810.0447641
1220.9585680.0828640.041432
1230.9610350.07793040.0389652
1240.9737730.05245490.0262274
1250.9755860.04882880.0244144
1260.9718380.05632420.0281621
1270.9711710.0576580.028829
1280.9677950.06440950.0322047
1290.9765760.04684840.0234242
1300.9743690.05126260.0256313
1310.9708540.05829250.0291462
1320.9685680.0628630.0314315
1330.9680970.06380560.0319028
1340.9639570.07208610.0360431
1350.9587760.08244820.0412241
1360.9537150.09256930.0462846
1370.9649040.07019150.0350958
1380.975990.04802010.02401
1390.9795910.04081730.0204087
1400.9773490.04530240.0226512
1410.9728250.05435030.0271752
1420.9734990.05300250.0265013
1430.9688930.06221340.0311067
1440.9739290.0521410.0260705
1450.9720790.05584270.0279213
1460.9714280.05714330.0285716
1470.9710810.05783760.0289188
1480.9663660.06726880.0336344
1490.9637630.0724750.0362375
1500.9649580.07008420.0350421
1510.97680.04640040.0232002
1520.9753130.04937430.0246872
1530.9754210.04915790.0245789
1540.9735490.05290210.026451
1550.9735230.05295310.0264766
1560.9691020.06179550.0308977
1570.9737480.05250430.0262521
1580.9759410.04811850.0240592
1590.9714090.05718290.0285914
1600.9665610.06687810.0334391
1610.9766820.04663510.0233176
1620.9756870.04862680.0243134
1630.9716870.05662590.028313
1640.9749120.05017690.0250885
1650.9791210.04175840.0208792
1660.9749850.05003020.0250151
1670.979860.04028030.0201401
1680.9786490.04270240.0213512
1690.9742390.05152130.0257606
1700.9710210.05795740.0289787
1710.9680830.06383440.0319172
1720.9745470.05090590.0254529
1730.969510.06097990.0304899
1740.9634480.07310330.0365517
1750.9566080.08678490.0433924
1760.9640540.07189260.0359463
1770.9582650.08347050.0417352
1780.9661220.06775580.0338779
1790.959090.08182080.0409104
1800.966640.06672020.0333601
1810.9607940.07841220.0392061
1820.9526430.09471380.0473569
1830.961590.07681970.0384099
1840.9542210.09155880.0457794
1850.9592710.08145790.0407289
1860.953360.09327970.0466399
1870.9617430.07651380.0382569
1880.9557630.08847450.0442373
1890.9477480.1045050.0522523
1900.9377010.1245970.0622987
1910.926170.1476610.0738304
1920.9242390.1515210.0757606
1930.9356170.1287660.0643832
1940.9395720.1208570.0604283
1950.9288090.1423820.071191
1960.9186290.1627420.0813708
1970.90740.18520.0926001
1980.8910440.2179120.108956
1990.8872370.2255250.112763
2000.8718360.2563280.128164
2010.8732520.2534960.126748
2020.8535940.2928120.146406
2030.8334190.3331620.166581
2040.8158710.3682570.184129
2050.8026630.3946740.197337
2060.7975740.4048520.202426
2070.7958470.4083050.204153
2080.7784320.4431350.221568
2090.7887770.4224460.211223
2100.7802170.4395660.219783
2110.7525690.4948620.247431
2120.72440.55120.2756
2130.7073510.5852980.292649
2140.6746780.6506440.325322
2150.6503780.6992450.349622
2160.6240060.7519890.375994
2170.6027830.7944330.397217
2180.6133630.7732730.386637
2190.5742360.8515290.425764
2200.5418880.9162250.458112
2210.5307510.9384970.469249
2220.5424140.9151710.457586
2230.5004520.9990960.499548
2240.4575510.9151020.542449
2250.5262690.9474620.473731
2260.5129960.9740090.487004
2270.4760110.9520220.523989
2280.5119790.9760420.488021
2290.5567470.8865070.443253
2300.5778620.8442750.422138
2310.5707760.8584470.429224
2320.6111730.7776540.388827
2330.5791760.8416490.420824
2340.5521930.8956130.447807
2350.5330780.9338450.466922
2360.7774670.4450670.222533
2370.7380570.5238860.261943
2380.7216190.5567620.278381
2390.7299230.5401540.270077
2400.712070.5758590.28793
2410.6782220.6435560.321778
2420.6477940.7044130.352206
2430.6023920.7952170.397608
2440.6924760.6150480.307524
2450.6435580.7128840.356442
2460.6132670.7734660.386733
2470.5697380.8605240.430262
2480.5154680.9690640.484532
2490.456850.9137010.54315
2500.4334290.8668570.566571
2510.4648720.9297440.535128
2520.4376560.8753120.562344
2530.4229160.8458320.577084
2540.5645190.8709610.435481
2550.515990.9680210.48401
2560.4816240.9632480.518376
2570.5686950.862610.431305
2580.8498660.3002670.150134
2590.8025320.3949370.197468
2600.9993160.00136770.000683852
2610.9984240.003151910.00157595
2620.9966040.006792690.00339635
2630.9951160.009767160.00488358
2640.9900380.01992350.00996175
2650.9833790.03324110.0166205
2660.9698090.06038240.0301912
2670.9404170.1191650.0595827
2680.9381630.1236740.0618371
2690.8792190.2415620.120781
2700.9362390.1275220.0637608
2710.8728670.2542660.127133






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level40.0150943NOK
5% type I error level340.128302NOK
10% type I error level1070.403774NOK

\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 & 4 & 0.0150943 & NOK \tabularnewline
5% type I error level & 34 & 0.128302 & NOK \tabularnewline
10% type I error level & 107 & 0.403774 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=266612&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]4[/C][C]0.0150943[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]34[/C][C]0.128302[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]107[/C][C]0.403774[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=266612&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=266612&T=6

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

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level40.0150943NOK
5% type I error level340.128302NOK
10% type I error level1070.403774NOK


Figures (Output of Computation)

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Input Parameters & R Code

Parameters (Session):
par1 = 4 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;
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')
}