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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 computationSun, 07 Dec 2014 15:29:58 +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/07/t14179662205vxzulebzzg310e.htm/, Retrieved Thu, 16 May 2024 15:06:41 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=263816, Retrieved Thu, 16 May 2024 15:06:41 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact69

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Multiple Regression] [paper] [2014-12-07 15:29:58] [627bde65e5570be47fd7fc8a9f75ea40] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
12	26	50
8	57	62
11	37	54
13	67	71
11	43	54
10	52	65
7	52	73
10	43	52
15	84	84
12	67	42
12	49	66
10	70	65
10	52	78
14	58	73
6	68	75
12	62	72
14	43	66
11	56	70
8	56	61
12	74	81
15	65	71
13	63	69
11	58	71
12	57	72
7	63	68
11	53	70
7	57	68
12	51	61
12	64	67
13	53	76
9	29	70
11	54	60
12	58	72
15	43	69
12	51	71
6	53	62
5	54	70
13	56	64
11	61	58
6	47	76
12	39	52
10	48	59
6	50	68
12	35	76
11	30	65
6	68	67
12	49	59
12	61	69
8	67	76
10	47	63
11	56	75
7	50	63
12	43	60
13	67	73
14	62	63
12	57	70
6	41	75
14	54	66
10	45	63
12	48	63
11	61	64
10	56	70
7	41	75
12	43	61
7	53	60
12	44	62
12	66	73
10	58	61
10	46	66
12	37	64
12	51	59
12	51	64
8	56	60
10	66	56
5	37	78
10	59	53
10	42	67
12	38	59
11	66	66
9	34	68
12	53	71
11	49	66
10	55	73
12	49	72
10	59	71
9	40	59
11	58	64
12	60	66
7	63	78
11	56	68
12	54	73
6	52	62
9	34	65
15	69	68
10	32	65
11	48	60
12	67	71
12	58	65
12	57	68
11	42	64
9	64	74
11	58	69
12	66	76
12	26	68
14	61	72
8	52	67
10	51	63
9	55	59
10	50	73
9	60	66
10	56	62
12	63	69
11	61	66
9	52	51
11	16	56
12	46	67
12	56	69
7	52	57
12	55	56
12	50	55
12	59	63
10	60	67
15	52	65
10	44	47
15	67	76
10	52	64
15	55	68
9	37	64
15	54	65
12	72	71
13	51	63
12	48	60
12	60	68
8	50	72
9	63	70
15	33	61
12	67	61
12	46	62
15	54	71
11	59	71
12	61	51
6	33	56
14	47	70
12	69	73
12	52	76
12	55	68
11	41	48
12	73	52
12	52	60
12	50	59
12	51	57
8	60	79
8	56	60
12	56	60
12	29	59
11	66	62
10	66	59
11	73	61
12	55	71
13	64	57
12	40	66
12	46	63
10	58	69
10	43	58
11	61	59
8	51	48
12	50	66
9	52	73
12	54	67
9	66	61
11	61	68
15	80	75
8	51	62
8	56	69
11	56	58
11	56	60
11	53	74
13	47	55
7	25	62
12	47	63
8	46	69
8	50	58
4	39	58
11	51	68
10	58	72
7	35	62
12	58	62
11	60	65
9	62	69
10	63	66
8	53	72
8	46	62
11	67	75
12	59	58
10	64	66
10	38	55
12	50	47
8	48	72
11	48	62
8	47	64
10	66	64
14	47	19
9	63	50
9	58	68
10	44	70
13	51	79
12	43	69
13	55	71
8	38	48
3	45	73
8	50	74
12	54	66
11	57	71
9	60	74
12	55	78
12	56	75
12	49	53
10	37	60
13	59	70
9	46	69
12	51	65
11	58	78
14	64	78
11	53	59
9	48	72
12	51	70
8	47	63
15	59	63
12	62	71
14	62	74
12	51	67
9	64	66
9	52	62
13	67	80
13	50	73
15	54	67
11	58	61
7	56	73
10	63	74
11	31	32
14	65	69
14	71	69
13	50	84
12	57	64
8	47	58
13	47	59
9	57	78
12	43	57
13	41	60
11	63	68
11	63	68
13	56	73
12	51	69
12	50	67
10	22	60
9	41	65
10	59	66
13	56	74
13	66	81
9	53	72
11	42	55
12	52	49
8	54	74
12	44	53
12	62	64
12	53	65
9	50	57
12	36	51
12	76	80
11	66	67
12	62	70
6	59	74
7	47	75
10	55	70
12	58	69
10	60	65
12	44	55
9	57	71
3	45	65

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'Sir Ronald Aylmer Fisher' @ fisher.wessa.net
R Framework error message
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.

\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 & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
R Framework error message & 
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.
 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=263816&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]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[ROW][C]R Framework error message[/C][C]
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.
[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=263816&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=263816&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'Sir Ronald Aylmer Fisher' @ fisher.wessa.net
R Framework error message
The field 'Names of X columns' contains a hard return which cannot be interpreted.
Please, resubmit your request without hard returns in the 'Names of X columns'.






Multiple Linear Regression - Estimated Regression Equation
CONFSOFTTOT[t] = + 9.54176 + 0.0491979`I,MOT`[t] -0.0216627`E,MOT\r`[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
CONFSOFTTOT[t] =  +  9.54176 +  0.0491979`I,MOT`[t] -0.0216627`E,MOT\r`[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=263816&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]CONFSOFTTOT[t] =  +  9.54176 +  0.0491979`I,MOT`[t] -0.0216627`E,MOT\r`[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=263816&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=263816&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
CONFSOFTTOT[t] = + 9.54176 + 0.0491979`I,MOT`[t] -0.0216627`E,MOT\r`[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)9.541761.139658.3732.86891e-151.43445e-15
`I,MOT`0.04919790.01391623.5350.000477520.00023876
`E,MOT\r`-0.02166270.0175315-1.2360.2176410.108821

\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) & 9.54176 & 1.13965 & 8.373 & 2.86891e-15 & 1.43445e-15 \tabularnewline
`I,MOT` & 0.0491979 & 0.0139162 & 3.535 & 0.00047752 & 0.00023876 \tabularnewline
`E,MOT\r` & -0.0216627 & 0.0175315 & -1.236 & 0.217641 & 0.108821 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=263816&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]9.54176[/C][C]1.13965[/C][C]8.373[/C][C]2.86891e-15[/C][C]1.43445e-15[/C][/ROW]
[ROW][C]`I,MOT`[/C][C]0.0491979[/C][C]0.0139162[/C][C]3.535[/C][C]0.00047752[/C][C]0.00023876[/C][/ROW]
[ROW][C]`E,MOT\r`[/C][C]-0.0216627[/C][C]0.0175315[/C][C]-1.236[/C][C]0.217641[/C][C]0.108821[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=263816&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=263816&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)9.541761.139658.3732.86891e-151.43445e-15
`I,MOT`0.04919790.01391623.5350.000477520.00023876
`E,MOT\r`-0.02166270.0175315-1.2360.2176410.108821






Multiple Linear Regression - Regression Statistics
Multiple R0.208141
R-squared0.0433228
Adjusted R-squared0.0363903
F-TEST (value)6.24928
F-TEST (DF numerator)2
F-TEST (DF denominator)276
p-value0.0022163
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.2418
Sum Squared Residuals1387.09

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.208141 \tabularnewline
R-squared & 0.0433228 \tabularnewline
Adjusted R-squared & 0.0363903 \tabularnewline
F-TEST (value) & 6.24928 \tabularnewline
F-TEST (DF numerator) & 2 \tabularnewline
F-TEST (DF denominator) & 276 \tabularnewline
p-value & 0.0022163 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 2.2418 \tabularnewline
Sum Squared Residuals & 1387.09 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=263816&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.208141[/C][/ROW]
[ROW][C]R-squared[/C][C]0.0433228[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.0363903[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]6.24928[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]2[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]276[/C][/ROW]
[ROW][C]p-value[/C][C]0.0022163[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]2.2418[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]1387.09[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=263816&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=263816&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 R0.208141
R-squared0.0433228
Adjusted R-squared0.0363903
F-TEST (value)6.24928
F-TEST (DF numerator)2
F-TEST (DF denominator)276
p-value0.0022163
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation2.2418
Sum Squared Residuals1387.09






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
1129.737762.26224
2811.0029-3.00295
31110.19230.807709
41311.31.70004
51110.48750.512522
61010.692-0.691969
7710.5187-3.51867
81010.5308-0.530803
91511.85473.14529
101211.92820.0718208
111210.52271.47729
121011.5775-1.57753
131010.4104-0.410353
141410.81393.18615
15611.2625-5.26251
161211.03230.967692
171410.22753.77247
181110.78040.219553
19810.9754-2.97541
201211.42770.572282
211511.20163.79844
221311.14651.85351
231110.85720.14282
241210.78631.21368
25711.1682-4.16816
261110.63290.367147
27710.873-3.87297
281210.72941.27058
291211.2390.760982
301310.50292.49712
3199.4521-0.452104
321110.89870.101322
331210.83551.16448
341510.16254.83746
351210.51281.48721
36610.8062-4.80615
37510.6821-5.68205
381310.91042.08958
391111.2864-0.286389
40610.2077-4.20769
411210.3341.66599
421010.6252-0.625154
43610.5286-4.52858
44129.617322.38268
45119.609621.39038
46611.4358-5.43581
471210.67441.32565
481211.04810.951901
49811.1916-3.19165
501010.4893-0.489305
511110.67210.327867
52710.6369-3.6369
531210.35751.6425
541311.25661.74337
551411.22732.77273
561210.82961.17036
5769.93416-3.93416
581410.76873.2313
591010.3909-0.390909
601210.53851.4615
611111.1564-0.156412
621010.7804-0.780447
6379.93416-2.93416
641210.33581.66416
65710.8495-3.84948
661210.36341.63663
671211.20740.792563
681011.0738-1.07381
691010.3751-0.375119
70129.975662.02434
711210.77271.22725
721210.66441.33557
73810.9971-2.99707
741011.5757-1.5757
7559.67239-4.67239
761011.2963-1.29631
771010.1567-0.156665
781210.13321.86683
791111.3591-0.359076
8099.74142-0.741419
811210.61121.38881
821110.52270.477288
831010.6663-0.666261
841210.39271.60726
851010.9064-0.906377
86910.2316-1.23157
871111.0088-0.00881862
881211.06390.936111
89710.9515-3.95153
901110.82380.176228
911210.61711.38294
92610.757-4.75696
9399.80641-0.806407
941511.46333.53666
95109.708010.291989
961110.60350.396509
971211.30.70004
981210.98721.01284
991210.8731.12703
1001110.22170.778347
101911.0874-2.08738
1021110.90050.099495
1031211.14240.857551
104129.347842.65216
1051410.98313.01689
106810.6486-2.64864
1071010.6861-0.686096
108910.9695-1.96954
1091010.4203-0.420271
110911.0639-2.06389
1111010.9537-0.953748
1121211.14650.853506
1131111.1131-0.113087
114910.9952-1.99525
115119.115811.88419
1161210.35351.64654
1171210.80211.19789
118710.8653-3.86527
1191211.03450.965473
1201210.81021.1898
1211211.07970.920321
1221011.0422-1.04223
1231510.6924.30803
1241010.6883-0.688315
1251511.19163.80835
1261010.7136-0.713631
1271510.77464.22543
12899.97566-0.975663
1291510.79044.20964
1301211.54590.45405
1311310.68612.3139
1321210.60351.39651
1331211.02060.979437
134810.4419-2.44193
135911.1248-2.12483
136159.843865.15614
1371211.51660.483412
1381210.46181.53823
1391510.66044.33961
1401110.90640.0936225
1411211.4380.561972
14269.95217-3.95217
1431410.33773.66233
1441211.3550.644969
1451210.45371.54632
1461210.77461.22543
1471110.51910.480942
1481212.0067-0.00673926
1491210.80031.19972
1501210.72351.27645
1511210.81611.18393
152810.7823-2.78227
153810.9971-2.99707
1541210.99711.00293
155129.690392.30961
1561111.4457-0.445727
1571011.5107-1.51072
1581111.8118-0.811775
1591210.70961.29041
1601311.45561.54436
1611210.07991.92007
1621210.44011.55989
1631010.9005-0.900505
1641010.4008-0.400827
1651111.2647-0.264726
166811.011-3.01104
1671210.57191.42809
168910.5187-1.51867
1691210.7471.25296
170911.4674-2.46739
1711111.0698-0.0697613
1721511.85293.14712
173810.7078-2.70776
174810.8021-2.80211
1751111.0404-0.0403992
1761110.99710.00292625
1771110.54620.453798
1781310.66262.33739
17979.42861-2.42861
1801210.48931.5107
181810.3101-2.31013
182810.7452-2.74521
183410.204-6.20404
1841110.57780.422217
1851010.8355-0.835517
18679.92059-2.92059
1871211.05210.947856
1881111.0856-0.0855516
189911.0973-2.0973
1901011.2115-1.21148
191810.5895-2.58953
192810.4618-2.46177
1931111.2133-0.21331
1941211.1880.812007
1951011.2607-1.26068
1961010.2198-0.219826
1971210.98351.0165
198810.3435-2.34354
1991110.56020.439835
200810.4676-2.46764
2011011.4024-1.4024
2021411.44252.55754
203911.5581-2.55809
204910.9222-1.92217
2051010.1901-0.190072
2061310.33952.66051
2071210.16251.83746
2081310.70962.29041
209810.3715-2.37146
210310.1743-7.17428
211810.3986-2.39861
2121210.76871.2313
2131110.8080.192018
214910.8906-1.89059
2151210.55791.44205
2161210.67211.32787
2171210.80431.19567
2181010.0623-0.0623143
2191310.9282.07196
220910.3101-1.31013
2211210.64281.35723
2221110.70550.294459
2231411.00072.99927
2241110.87110.128857
225910.3435-1.34354
2261210.53451.46554
227810.4893-2.4893
2281511.07973.92032
2291211.0540.946029
2301410.9893.01102
2311210.59941.40055
232911.2607-2.26068
233910.757-1.75696
2341311.1051.895
2351310.42032.57973
2361510.7474.25296
2371111.0738-0.0738068
238710.7155-3.71546
2391011.0382-1.03818
2401110.37370.626317
2411411.24492.75511
2421411.54012.45992
2431310.1822.81802
2441210.95961.04038
245810.5976-2.59762
2461310.5762.42404
247910.6563-1.65634
2481210.42251.57751
2491310.25912.74089
2501111.1682-0.168157
2511111.1682-0.168157
2521310.71552.28454
2531210.55611.44388
2541210.55021.44975
255109.324350.675654
256910.1508-1.15079
2571011.0147-1.01469
2581310.69382.3062
2591311.03411.96586
260910.5895-1.58953
2611110.41660.583383
2621211.03860.961428
263810.5954-2.5954
2641210.55831.44166
2651211.20560.79439
2661210.74121.25883
267910.7669-1.76687
2681210.20811.79192
2691211.54780.452223
2701111.3374-0.337413
2711211.07560.924366
272610.8414-4.84139
273710.2294-3.22935
2741010.7312-0.731249
2751210.90051.09949
2761011.0856-1.08555
2771210.5151.48499
278910.808-1.80798
279310.3476-7.34758

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 12 & 9.73776 & 2.26224 \tabularnewline
2 & 8 & 11.0029 & -3.00295 \tabularnewline
3 & 11 & 10.1923 & 0.807709 \tabularnewline
4 & 13 & 11.3 & 1.70004 \tabularnewline
5 & 11 & 10.4875 & 0.512522 \tabularnewline
6 & 10 & 10.692 & -0.691969 \tabularnewline
7 & 7 & 10.5187 & -3.51867 \tabularnewline
8 & 10 & 10.5308 & -0.530803 \tabularnewline
9 & 15 & 11.8547 & 3.14529 \tabularnewline
10 & 12 & 11.9282 & 0.0718208 \tabularnewline
11 & 12 & 10.5227 & 1.47729 \tabularnewline
12 & 10 & 11.5775 & -1.57753 \tabularnewline
13 & 10 & 10.4104 & -0.410353 \tabularnewline
14 & 14 & 10.8139 & 3.18615 \tabularnewline
15 & 6 & 11.2625 & -5.26251 \tabularnewline
16 & 12 & 11.0323 & 0.967692 \tabularnewline
17 & 14 & 10.2275 & 3.77247 \tabularnewline
18 & 11 & 10.7804 & 0.219553 \tabularnewline
19 & 8 & 10.9754 & -2.97541 \tabularnewline
20 & 12 & 11.4277 & 0.572282 \tabularnewline
21 & 15 & 11.2016 & 3.79844 \tabularnewline
22 & 13 & 11.1465 & 1.85351 \tabularnewline
23 & 11 & 10.8572 & 0.14282 \tabularnewline
24 & 12 & 10.7863 & 1.21368 \tabularnewline
25 & 7 & 11.1682 & -4.16816 \tabularnewline
26 & 11 & 10.6329 & 0.367147 \tabularnewline
27 & 7 & 10.873 & -3.87297 \tabularnewline
28 & 12 & 10.7294 & 1.27058 \tabularnewline
29 & 12 & 11.239 & 0.760982 \tabularnewline
30 & 13 & 10.5029 & 2.49712 \tabularnewline
31 & 9 & 9.4521 & -0.452104 \tabularnewline
32 & 11 & 10.8987 & 0.101322 \tabularnewline
33 & 12 & 10.8355 & 1.16448 \tabularnewline
34 & 15 & 10.1625 & 4.83746 \tabularnewline
35 & 12 & 10.5128 & 1.48721 \tabularnewline
36 & 6 & 10.8062 & -4.80615 \tabularnewline
37 & 5 & 10.6821 & -5.68205 \tabularnewline
38 & 13 & 10.9104 & 2.08958 \tabularnewline
39 & 11 & 11.2864 & -0.286389 \tabularnewline
40 & 6 & 10.2077 & -4.20769 \tabularnewline
41 & 12 & 10.334 & 1.66599 \tabularnewline
42 & 10 & 10.6252 & -0.625154 \tabularnewline
43 & 6 & 10.5286 & -4.52858 \tabularnewline
44 & 12 & 9.61732 & 2.38268 \tabularnewline
45 & 11 & 9.60962 & 1.39038 \tabularnewline
46 & 6 & 11.4358 & -5.43581 \tabularnewline
47 & 12 & 10.6744 & 1.32565 \tabularnewline
48 & 12 & 11.0481 & 0.951901 \tabularnewline
49 & 8 & 11.1916 & -3.19165 \tabularnewline
50 & 10 & 10.4893 & -0.489305 \tabularnewline
51 & 11 & 10.6721 & 0.327867 \tabularnewline
52 & 7 & 10.6369 & -3.6369 \tabularnewline
53 & 12 & 10.3575 & 1.6425 \tabularnewline
54 & 13 & 11.2566 & 1.74337 \tabularnewline
55 & 14 & 11.2273 & 2.77273 \tabularnewline
56 & 12 & 10.8296 & 1.17036 \tabularnewline
57 & 6 & 9.93416 & -3.93416 \tabularnewline
58 & 14 & 10.7687 & 3.2313 \tabularnewline
59 & 10 & 10.3909 & -0.390909 \tabularnewline
60 & 12 & 10.5385 & 1.4615 \tabularnewline
61 & 11 & 11.1564 & -0.156412 \tabularnewline
62 & 10 & 10.7804 & -0.780447 \tabularnewline
63 & 7 & 9.93416 & -2.93416 \tabularnewline
64 & 12 & 10.3358 & 1.66416 \tabularnewline
65 & 7 & 10.8495 & -3.84948 \tabularnewline
66 & 12 & 10.3634 & 1.63663 \tabularnewline
67 & 12 & 11.2074 & 0.792563 \tabularnewline
68 & 10 & 11.0738 & -1.07381 \tabularnewline
69 & 10 & 10.3751 & -0.375119 \tabularnewline
70 & 12 & 9.97566 & 2.02434 \tabularnewline
71 & 12 & 10.7727 & 1.22725 \tabularnewline
72 & 12 & 10.6644 & 1.33557 \tabularnewline
73 & 8 & 10.9971 & -2.99707 \tabularnewline
74 & 10 & 11.5757 & -1.5757 \tabularnewline
75 & 5 & 9.67239 & -4.67239 \tabularnewline
76 & 10 & 11.2963 & -1.29631 \tabularnewline
77 & 10 & 10.1567 & -0.156665 \tabularnewline
78 & 12 & 10.1332 & 1.86683 \tabularnewline
79 & 11 & 11.3591 & -0.359076 \tabularnewline
80 & 9 & 9.74142 & -0.741419 \tabularnewline
81 & 12 & 10.6112 & 1.38881 \tabularnewline
82 & 11 & 10.5227 & 0.477288 \tabularnewline
83 & 10 & 10.6663 & -0.666261 \tabularnewline
84 & 12 & 10.3927 & 1.60726 \tabularnewline
85 & 10 & 10.9064 & -0.906377 \tabularnewline
86 & 9 & 10.2316 & -1.23157 \tabularnewline
87 & 11 & 11.0088 & -0.00881862 \tabularnewline
88 & 12 & 11.0639 & 0.936111 \tabularnewline
89 & 7 & 10.9515 & -3.95153 \tabularnewline
90 & 11 & 10.8238 & 0.176228 \tabularnewline
91 & 12 & 10.6171 & 1.38294 \tabularnewline
92 & 6 & 10.757 & -4.75696 \tabularnewline
93 & 9 & 9.80641 & -0.806407 \tabularnewline
94 & 15 & 11.4633 & 3.53666 \tabularnewline
95 & 10 & 9.70801 & 0.291989 \tabularnewline
96 & 11 & 10.6035 & 0.396509 \tabularnewline
97 & 12 & 11.3 & 0.70004 \tabularnewline
98 & 12 & 10.9872 & 1.01284 \tabularnewline
99 & 12 & 10.873 & 1.12703 \tabularnewline
100 & 11 & 10.2217 & 0.778347 \tabularnewline
101 & 9 & 11.0874 & -2.08738 \tabularnewline
102 & 11 & 10.9005 & 0.099495 \tabularnewline
103 & 12 & 11.1424 & 0.857551 \tabularnewline
104 & 12 & 9.34784 & 2.65216 \tabularnewline
105 & 14 & 10.9831 & 3.01689 \tabularnewline
106 & 8 & 10.6486 & -2.64864 \tabularnewline
107 & 10 & 10.6861 & -0.686096 \tabularnewline
108 & 9 & 10.9695 & -1.96954 \tabularnewline
109 & 10 & 10.4203 & -0.420271 \tabularnewline
110 & 9 & 11.0639 & -2.06389 \tabularnewline
111 & 10 & 10.9537 & -0.953748 \tabularnewline
112 & 12 & 11.1465 & 0.853506 \tabularnewline
113 & 11 & 11.1131 & -0.113087 \tabularnewline
114 & 9 & 10.9952 & -1.99525 \tabularnewline
115 & 11 & 9.11581 & 1.88419 \tabularnewline
116 & 12 & 10.3535 & 1.64654 \tabularnewline
117 & 12 & 10.8021 & 1.19789 \tabularnewline
118 & 7 & 10.8653 & -3.86527 \tabularnewline
119 & 12 & 11.0345 & 0.965473 \tabularnewline
120 & 12 & 10.8102 & 1.1898 \tabularnewline
121 & 12 & 11.0797 & 0.920321 \tabularnewline
122 & 10 & 11.0422 & -1.04223 \tabularnewline
123 & 15 & 10.692 & 4.30803 \tabularnewline
124 & 10 & 10.6883 & -0.688315 \tabularnewline
125 & 15 & 11.1916 & 3.80835 \tabularnewline
126 & 10 & 10.7136 & -0.713631 \tabularnewline
127 & 15 & 10.7746 & 4.22543 \tabularnewline
128 & 9 & 9.97566 & -0.975663 \tabularnewline
129 & 15 & 10.7904 & 4.20964 \tabularnewline
130 & 12 & 11.5459 & 0.45405 \tabularnewline
131 & 13 & 10.6861 & 2.3139 \tabularnewline
132 & 12 & 10.6035 & 1.39651 \tabularnewline
133 & 12 & 11.0206 & 0.979437 \tabularnewline
134 & 8 & 10.4419 & -2.44193 \tabularnewline
135 & 9 & 11.1248 & -2.12483 \tabularnewline
136 & 15 & 9.84386 & 5.15614 \tabularnewline
137 & 12 & 11.5166 & 0.483412 \tabularnewline
138 & 12 & 10.4618 & 1.53823 \tabularnewline
139 & 15 & 10.6604 & 4.33961 \tabularnewline
140 & 11 & 10.9064 & 0.0936225 \tabularnewline
141 & 12 & 11.438 & 0.561972 \tabularnewline
142 & 6 & 9.95217 & -3.95217 \tabularnewline
143 & 14 & 10.3377 & 3.66233 \tabularnewline
144 & 12 & 11.355 & 0.644969 \tabularnewline
145 & 12 & 10.4537 & 1.54632 \tabularnewline
146 & 12 & 10.7746 & 1.22543 \tabularnewline
147 & 11 & 10.5191 & 0.480942 \tabularnewline
148 & 12 & 12.0067 & -0.00673926 \tabularnewline
149 & 12 & 10.8003 & 1.19972 \tabularnewline
150 & 12 & 10.7235 & 1.27645 \tabularnewline
151 & 12 & 10.8161 & 1.18393 \tabularnewline
152 & 8 & 10.7823 & -2.78227 \tabularnewline
153 & 8 & 10.9971 & -2.99707 \tabularnewline
154 & 12 & 10.9971 & 1.00293 \tabularnewline
155 & 12 & 9.69039 & 2.30961 \tabularnewline
156 & 11 & 11.4457 & -0.445727 \tabularnewline
157 & 10 & 11.5107 & -1.51072 \tabularnewline
158 & 11 & 11.8118 & -0.811775 \tabularnewline
159 & 12 & 10.7096 & 1.29041 \tabularnewline
160 & 13 & 11.4556 & 1.54436 \tabularnewline
161 & 12 & 10.0799 & 1.92007 \tabularnewline
162 & 12 & 10.4401 & 1.55989 \tabularnewline
163 & 10 & 10.9005 & -0.900505 \tabularnewline
164 & 10 & 10.4008 & -0.400827 \tabularnewline
165 & 11 & 11.2647 & -0.264726 \tabularnewline
166 & 8 & 11.011 & -3.01104 \tabularnewline
167 & 12 & 10.5719 & 1.42809 \tabularnewline
168 & 9 & 10.5187 & -1.51867 \tabularnewline
169 & 12 & 10.747 & 1.25296 \tabularnewline
170 & 9 & 11.4674 & -2.46739 \tabularnewline
171 & 11 & 11.0698 & -0.0697613 \tabularnewline
172 & 15 & 11.8529 & 3.14712 \tabularnewline
173 & 8 & 10.7078 & -2.70776 \tabularnewline
174 & 8 & 10.8021 & -2.80211 \tabularnewline
175 & 11 & 11.0404 & -0.0403992 \tabularnewline
176 & 11 & 10.9971 & 0.00292625 \tabularnewline
177 & 11 & 10.5462 & 0.453798 \tabularnewline
178 & 13 & 10.6626 & 2.33739 \tabularnewline
179 & 7 & 9.42861 & -2.42861 \tabularnewline
180 & 12 & 10.4893 & 1.5107 \tabularnewline
181 & 8 & 10.3101 & -2.31013 \tabularnewline
182 & 8 & 10.7452 & -2.74521 \tabularnewline
183 & 4 & 10.204 & -6.20404 \tabularnewline
184 & 11 & 10.5778 & 0.422217 \tabularnewline
185 & 10 & 10.8355 & -0.835517 \tabularnewline
186 & 7 & 9.92059 & -2.92059 \tabularnewline
187 & 12 & 11.0521 & 0.947856 \tabularnewline
188 & 11 & 11.0856 & -0.0855516 \tabularnewline
189 & 9 & 11.0973 & -2.0973 \tabularnewline
190 & 10 & 11.2115 & -1.21148 \tabularnewline
191 & 8 & 10.5895 & -2.58953 \tabularnewline
192 & 8 & 10.4618 & -2.46177 \tabularnewline
193 & 11 & 11.2133 & -0.21331 \tabularnewline
194 & 12 & 11.188 & 0.812007 \tabularnewline
195 & 10 & 11.2607 & -1.26068 \tabularnewline
196 & 10 & 10.2198 & -0.219826 \tabularnewline
197 & 12 & 10.9835 & 1.0165 \tabularnewline
198 & 8 & 10.3435 & -2.34354 \tabularnewline
199 & 11 & 10.5602 & 0.439835 \tabularnewline
200 & 8 & 10.4676 & -2.46764 \tabularnewline
201 & 10 & 11.4024 & -1.4024 \tabularnewline
202 & 14 & 11.4425 & 2.55754 \tabularnewline
203 & 9 & 11.5581 & -2.55809 \tabularnewline
204 & 9 & 10.9222 & -1.92217 \tabularnewline
205 & 10 & 10.1901 & -0.190072 \tabularnewline
206 & 13 & 10.3395 & 2.66051 \tabularnewline
207 & 12 & 10.1625 & 1.83746 \tabularnewline
208 & 13 & 10.7096 & 2.29041 \tabularnewline
209 & 8 & 10.3715 & -2.37146 \tabularnewline
210 & 3 & 10.1743 & -7.17428 \tabularnewline
211 & 8 & 10.3986 & -2.39861 \tabularnewline
212 & 12 & 10.7687 & 1.2313 \tabularnewline
213 & 11 & 10.808 & 0.192018 \tabularnewline
214 & 9 & 10.8906 & -1.89059 \tabularnewline
215 & 12 & 10.5579 & 1.44205 \tabularnewline
216 & 12 & 10.6721 & 1.32787 \tabularnewline
217 & 12 & 10.8043 & 1.19567 \tabularnewline
218 & 10 & 10.0623 & -0.0623143 \tabularnewline
219 & 13 & 10.928 & 2.07196 \tabularnewline
220 & 9 & 10.3101 & -1.31013 \tabularnewline
221 & 12 & 10.6428 & 1.35723 \tabularnewline
222 & 11 & 10.7055 & 0.294459 \tabularnewline
223 & 14 & 11.0007 & 2.99927 \tabularnewline
224 & 11 & 10.8711 & 0.128857 \tabularnewline
225 & 9 & 10.3435 & -1.34354 \tabularnewline
226 & 12 & 10.5345 & 1.46554 \tabularnewline
227 & 8 & 10.4893 & -2.4893 \tabularnewline
228 & 15 & 11.0797 & 3.92032 \tabularnewline
229 & 12 & 11.054 & 0.946029 \tabularnewline
230 & 14 & 10.989 & 3.01102 \tabularnewline
231 & 12 & 10.5994 & 1.40055 \tabularnewline
232 & 9 & 11.2607 & -2.26068 \tabularnewline
233 & 9 & 10.757 & -1.75696 \tabularnewline
234 & 13 & 11.105 & 1.895 \tabularnewline
235 & 13 & 10.4203 & 2.57973 \tabularnewline
236 & 15 & 10.747 & 4.25296 \tabularnewline
237 & 11 & 11.0738 & -0.0738068 \tabularnewline
238 & 7 & 10.7155 & -3.71546 \tabularnewline
239 & 10 & 11.0382 & -1.03818 \tabularnewline
240 & 11 & 10.3737 & 0.626317 \tabularnewline
241 & 14 & 11.2449 & 2.75511 \tabularnewline
242 & 14 & 11.5401 & 2.45992 \tabularnewline
243 & 13 & 10.182 & 2.81802 \tabularnewline
244 & 12 & 10.9596 & 1.04038 \tabularnewline
245 & 8 & 10.5976 & -2.59762 \tabularnewline
246 & 13 & 10.576 & 2.42404 \tabularnewline
247 & 9 & 10.6563 & -1.65634 \tabularnewline
248 & 12 & 10.4225 & 1.57751 \tabularnewline
249 & 13 & 10.2591 & 2.74089 \tabularnewline
250 & 11 & 11.1682 & -0.168157 \tabularnewline
251 & 11 & 11.1682 & -0.168157 \tabularnewline
252 & 13 & 10.7155 & 2.28454 \tabularnewline
253 & 12 & 10.5561 & 1.44388 \tabularnewline
254 & 12 & 10.5502 & 1.44975 \tabularnewline
255 & 10 & 9.32435 & 0.675654 \tabularnewline
256 & 9 & 10.1508 & -1.15079 \tabularnewline
257 & 10 & 11.0147 & -1.01469 \tabularnewline
258 & 13 & 10.6938 & 2.3062 \tabularnewline
259 & 13 & 11.0341 & 1.96586 \tabularnewline
260 & 9 & 10.5895 & -1.58953 \tabularnewline
261 & 11 & 10.4166 & 0.583383 \tabularnewline
262 & 12 & 11.0386 & 0.961428 \tabularnewline
263 & 8 & 10.5954 & -2.5954 \tabularnewline
264 & 12 & 10.5583 & 1.44166 \tabularnewline
265 & 12 & 11.2056 & 0.79439 \tabularnewline
266 & 12 & 10.7412 & 1.25883 \tabularnewline
267 & 9 & 10.7669 & -1.76687 \tabularnewline
268 & 12 & 10.2081 & 1.79192 \tabularnewline
269 & 12 & 11.5478 & 0.452223 \tabularnewline
270 & 11 & 11.3374 & -0.337413 \tabularnewline
271 & 12 & 11.0756 & 0.924366 \tabularnewline
272 & 6 & 10.8414 & -4.84139 \tabularnewline
273 & 7 & 10.2294 & -3.22935 \tabularnewline
274 & 10 & 10.7312 & -0.731249 \tabularnewline
275 & 12 & 10.9005 & 1.09949 \tabularnewline
276 & 10 & 11.0856 & -1.08555 \tabularnewline
277 & 12 & 10.515 & 1.48499 \tabularnewline
278 & 9 & 10.808 & -1.80798 \tabularnewline
279 & 3 & 10.3476 & -7.34758 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=263816&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]12[/C][C]9.73776[/C][C]2.26224[/C][/ROW]
[ROW][C]2[/C][C]8[/C][C]11.0029[/C][C]-3.00295[/C][/ROW]
[ROW][C]3[/C][C]11[/C][C]10.1923[/C][C]0.807709[/C][/ROW]
[ROW][C]4[/C][C]13[/C][C]11.3[/C][C]1.70004[/C][/ROW]
[ROW][C]5[/C][C]11[/C][C]10.4875[/C][C]0.512522[/C][/ROW]
[ROW][C]6[/C][C]10[/C][C]10.692[/C][C]-0.691969[/C][/ROW]
[ROW][C]7[/C][C]7[/C][C]10.5187[/C][C]-3.51867[/C][/ROW]
[ROW][C]8[/C][C]10[/C][C]10.5308[/C][C]-0.530803[/C][/ROW]
[ROW][C]9[/C][C]15[/C][C]11.8547[/C][C]3.14529[/C][/ROW]
[ROW][C]10[/C][C]12[/C][C]11.9282[/C][C]0.0718208[/C][/ROW]
[ROW][C]11[/C][C]12[/C][C]10.5227[/C][C]1.47729[/C][/ROW]
[ROW][C]12[/C][C]10[/C][C]11.5775[/C][C]-1.57753[/C][/ROW]
[ROW][C]13[/C][C]10[/C][C]10.4104[/C][C]-0.410353[/C][/ROW]
[ROW][C]14[/C][C]14[/C][C]10.8139[/C][C]3.18615[/C][/ROW]
[ROW][C]15[/C][C]6[/C][C]11.2625[/C][C]-5.26251[/C][/ROW]
[ROW][C]16[/C][C]12[/C][C]11.0323[/C][C]0.967692[/C][/ROW]
[ROW][C]17[/C][C]14[/C][C]10.2275[/C][C]3.77247[/C][/ROW]
[ROW][C]18[/C][C]11[/C][C]10.7804[/C][C]0.219553[/C][/ROW]
[ROW][C]19[/C][C]8[/C][C]10.9754[/C][C]-2.97541[/C][/ROW]
[ROW][C]20[/C][C]12[/C][C]11.4277[/C][C]0.572282[/C][/ROW]
[ROW][C]21[/C][C]15[/C][C]11.2016[/C][C]3.79844[/C][/ROW]
[ROW][C]22[/C][C]13[/C][C]11.1465[/C][C]1.85351[/C][/ROW]
[ROW][C]23[/C][C]11[/C][C]10.8572[/C][C]0.14282[/C][/ROW]
[ROW][C]24[/C][C]12[/C][C]10.7863[/C][C]1.21368[/C][/ROW]
[ROW][C]25[/C][C]7[/C][C]11.1682[/C][C]-4.16816[/C][/ROW]
[ROW][C]26[/C][C]11[/C][C]10.6329[/C][C]0.367147[/C][/ROW]
[ROW][C]27[/C][C]7[/C][C]10.873[/C][C]-3.87297[/C][/ROW]
[ROW][C]28[/C][C]12[/C][C]10.7294[/C][C]1.27058[/C][/ROW]
[ROW][C]29[/C][C]12[/C][C]11.239[/C][C]0.760982[/C][/ROW]
[ROW][C]30[/C][C]13[/C][C]10.5029[/C][C]2.49712[/C][/ROW]
[ROW][C]31[/C][C]9[/C][C]9.4521[/C][C]-0.452104[/C][/ROW]
[ROW][C]32[/C][C]11[/C][C]10.8987[/C][C]0.101322[/C][/ROW]
[ROW][C]33[/C][C]12[/C][C]10.8355[/C][C]1.16448[/C][/ROW]
[ROW][C]34[/C][C]15[/C][C]10.1625[/C][C]4.83746[/C][/ROW]
[ROW][C]35[/C][C]12[/C][C]10.5128[/C][C]1.48721[/C][/ROW]
[ROW][C]36[/C][C]6[/C][C]10.8062[/C][C]-4.80615[/C][/ROW]
[ROW][C]37[/C][C]5[/C][C]10.6821[/C][C]-5.68205[/C][/ROW]
[ROW][C]38[/C][C]13[/C][C]10.9104[/C][C]2.08958[/C][/ROW]
[ROW][C]39[/C][C]11[/C][C]11.2864[/C][C]-0.286389[/C][/ROW]
[ROW][C]40[/C][C]6[/C][C]10.2077[/C][C]-4.20769[/C][/ROW]
[ROW][C]41[/C][C]12[/C][C]10.334[/C][C]1.66599[/C][/ROW]
[ROW][C]42[/C][C]10[/C][C]10.6252[/C][C]-0.625154[/C][/ROW]
[ROW][C]43[/C][C]6[/C][C]10.5286[/C][C]-4.52858[/C][/ROW]
[ROW][C]44[/C][C]12[/C][C]9.61732[/C][C]2.38268[/C][/ROW]
[ROW][C]45[/C][C]11[/C][C]9.60962[/C][C]1.39038[/C][/ROW]
[ROW][C]46[/C][C]6[/C][C]11.4358[/C][C]-5.43581[/C][/ROW]
[ROW][C]47[/C][C]12[/C][C]10.6744[/C][C]1.32565[/C][/ROW]
[ROW][C]48[/C][C]12[/C][C]11.0481[/C][C]0.951901[/C][/ROW]
[ROW][C]49[/C][C]8[/C][C]11.1916[/C][C]-3.19165[/C][/ROW]
[ROW][C]50[/C][C]10[/C][C]10.4893[/C][C]-0.489305[/C][/ROW]
[ROW][C]51[/C][C]11[/C][C]10.6721[/C][C]0.327867[/C][/ROW]
[ROW][C]52[/C][C]7[/C][C]10.6369[/C][C]-3.6369[/C][/ROW]
[ROW][C]53[/C][C]12[/C][C]10.3575[/C][C]1.6425[/C][/ROW]
[ROW][C]54[/C][C]13[/C][C]11.2566[/C][C]1.74337[/C][/ROW]
[ROW][C]55[/C][C]14[/C][C]11.2273[/C][C]2.77273[/C][/ROW]
[ROW][C]56[/C][C]12[/C][C]10.8296[/C][C]1.17036[/C][/ROW]
[ROW][C]57[/C][C]6[/C][C]9.93416[/C][C]-3.93416[/C][/ROW]
[ROW][C]58[/C][C]14[/C][C]10.7687[/C][C]3.2313[/C][/ROW]
[ROW][C]59[/C][C]10[/C][C]10.3909[/C][C]-0.390909[/C][/ROW]
[ROW][C]60[/C][C]12[/C][C]10.5385[/C][C]1.4615[/C][/ROW]
[ROW][C]61[/C][C]11[/C][C]11.1564[/C][C]-0.156412[/C][/ROW]
[ROW][C]62[/C][C]10[/C][C]10.7804[/C][C]-0.780447[/C][/ROW]
[ROW][C]63[/C][C]7[/C][C]9.93416[/C][C]-2.93416[/C][/ROW]
[ROW][C]64[/C][C]12[/C][C]10.3358[/C][C]1.66416[/C][/ROW]
[ROW][C]65[/C][C]7[/C][C]10.8495[/C][C]-3.84948[/C][/ROW]
[ROW][C]66[/C][C]12[/C][C]10.3634[/C][C]1.63663[/C][/ROW]
[ROW][C]67[/C][C]12[/C][C]11.2074[/C][C]0.792563[/C][/ROW]
[ROW][C]68[/C][C]10[/C][C]11.0738[/C][C]-1.07381[/C][/ROW]
[ROW][C]69[/C][C]10[/C][C]10.3751[/C][C]-0.375119[/C][/ROW]
[ROW][C]70[/C][C]12[/C][C]9.97566[/C][C]2.02434[/C][/ROW]
[ROW][C]71[/C][C]12[/C][C]10.7727[/C][C]1.22725[/C][/ROW]
[ROW][C]72[/C][C]12[/C][C]10.6644[/C][C]1.33557[/C][/ROW]
[ROW][C]73[/C][C]8[/C][C]10.9971[/C][C]-2.99707[/C][/ROW]
[ROW][C]74[/C][C]10[/C][C]11.5757[/C][C]-1.5757[/C][/ROW]
[ROW][C]75[/C][C]5[/C][C]9.67239[/C][C]-4.67239[/C][/ROW]
[ROW][C]76[/C][C]10[/C][C]11.2963[/C][C]-1.29631[/C][/ROW]
[ROW][C]77[/C][C]10[/C][C]10.1567[/C][C]-0.156665[/C][/ROW]
[ROW][C]78[/C][C]12[/C][C]10.1332[/C][C]1.86683[/C][/ROW]
[ROW][C]79[/C][C]11[/C][C]11.3591[/C][C]-0.359076[/C][/ROW]
[ROW][C]80[/C][C]9[/C][C]9.74142[/C][C]-0.741419[/C][/ROW]
[ROW][C]81[/C][C]12[/C][C]10.6112[/C][C]1.38881[/C][/ROW]
[ROW][C]82[/C][C]11[/C][C]10.5227[/C][C]0.477288[/C][/ROW]
[ROW][C]83[/C][C]10[/C][C]10.6663[/C][C]-0.666261[/C][/ROW]
[ROW][C]84[/C][C]12[/C][C]10.3927[/C][C]1.60726[/C][/ROW]
[ROW][C]85[/C][C]10[/C][C]10.9064[/C][C]-0.906377[/C][/ROW]
[ROW][C]86[/C][C]9[/C][C]10.2316[/C][C]-1.23157[/C][/ROW]
[ROW][C]87[/C][C]11[/C][C]11.0088[/C][C]-0.00881862[/C][/ROW]
[ROW][C]88[/C][C]12[/C][C]11.0639[/C][C]0.936111[/C][/ROW]
[ROW][C]89[/C][C]7[/C][C]10.9515[/C][C]-3.95153[/C][/ROW]
[ROW][C]90[/C][C]11[/C][C]10.8238[/C][C]0.176228[/C][/ROW]
[ROW][C]91[/C][C]12[/C][C]10.6171[/C][C]1.38294[/C][/ROW]
[ROW][C]92[/C][C]6[/C][C]10.757[/C][C]-4.75696[/C][/ROW]
[ROW][C]93[/C][C]9[/C][C]9.80641[/C][C]-0.806407[/C][/ROW]
[ROW][C]94[/C][C]15[/C][C]11.4633[/C][C]3.53666[/C][/ROW]
[ROW][C]95[/C][C]10[/C][C]9.70801[/C][C]0.291989[/C][/ROW]
[ROW][C]96[/C][C]11[/C][C]10.6035[/C][C]0.396509[/C][/ROW]
[ROW][C]97[/C][C]12[/C][C]11.3[/C][C]0.70004[/C][/ROW]
[ROW][C]98[/C][C]12[/C][C]10.9872[/C][C]1.01284[/C][/ROW]
[ROW][C]99[/C][C]12[/C][C]10.873[/C][C]1.12703[/C][/ROW]
[ROW][C]100[/C][C]11[/C][C]10.2217[/C][C]0.778347[/C][/ROW]
[ROW][C]101[/C][C]9[/C][C]11.0874[/C][C]-2.08738[/C][/ROW]
[ROW][C]102[/C][C]11[/C][C]10.9005[/C][C]0.099495[/C][/ROW]
[ROW][C]103[/C][C]12[/C][C]11.1424[/C][C]0.857551[/C][/ROW]
[ROW][C]104[/C][C]12[/C][C]9.34784[/C][C]2.65216[/C][/ROW]
[ROW][C]105[/C][C]14[/C][C]10.9831[/C][C]3.01689[/C][/ROW]
[ROW][C]106[/C][C]8[/C][C]10.6486[/C][C]-2.64864[/C][/ROW]
[ROW][C]107[/C][C]10[/C][C]10.6861[/C][C]-0.686096[/C][/ROW]
[ROW][C]108[/C][C]9[/C][C]10.9695[/C][C]-1.96954[/C][/ROW]
[ROW][C]109[/C][C]10[/C][C]10.4203[/C][C]-0.420271[/C][/ROW]
[ROW][C]110[/C][C]9[/C][C]11.0639[/C][C]-2.06389[/C][/ROW]
[ROW][C]111[/C][C]10[/C][C]10.9537[/C][C]-0.953748[/C][/ROW]
[ROW][C]112[/C][C]12[/C][C]11.1465[/C][C]0.853506[/C][/ROW]
[ROW][C]113[/C][C]11[/C][C]11.1131[/C][C]-0.113087[/C][/ROW]
[ROW][C]114[/C][C]9[/C][C]10.9952[/C][C]-1.99525[/C][/ROW]
[ROW][C]115[/C][C]11[/C][C]9.11581[/C][C]1.88419[/C][/ROW]
[ROW][C]116[/C][C]12[/C][C]10.3535[/C][C]1.64654[/C][/ROW]
[ROW][C]117[/C][C]12[/C][C]10.8021[/C][C]1.19789[/C][/ROW]
[ROW][C]118[/C][C]7[/C][C]10.8653[/C][C]-3.86527[/C][/ROW]
[ROW][C]119[/C][C]12[/C][C]11.0345[/C][C]0.965473[/C][/ROW]
[ROW][C]120[/C][C]12[/C][C]10.8102[/C][C]1.1898[/C][/ROW]
[ROW][C]121[/C][C]12[/C][C]11.0797[/C][C]0.920321[/C][/ROW]
[ROW][C]122[/C][C]10[/C][C]11.0422[/C][C]-1.04223[/C][/ROW]
[ROW][C]123[/C][C]15[/C][C]10.692[/C][C]4.30803[/C][/ROW]
[ROW][C]124[/C][C]10[/C][C]10.6883[/C][C]-0.688315[/C][/ROW]
[ROW][C]125[/C][C]15[/C][C]11.1916[/C][C]3.80835[/C][/ROW]
[ROW][C]126[/C][C]10[/C][C]10.7136[/C][C]-0.713631[/C][/ROW]
[ROW][C]127[/C][C]15[/C][C]10.7746[/C][C]4.22543[/C][/ROW]
[ROW][C]128[/C][C]9[/C][C]9.97566[/C][C]-0.975663[/C][/ROW]
[ROW][C]129[/C][C]15[/C][C]10.7904[/C][C]4.20964[/C][/ROW]
[ROW][C]130[/C][C]12[/C][C]11.5459[/C][C]0.45405[/C][/ROW]
[ROW][C]131[/C][C]13[/C][C]10.6861[/C][C]2.3139[/C][/ROW]
[ROW][C]132[/C][C]12[/C][C]10.6035[/C][C]1.39651[/C][/ROW]
[ROW][C]133[/C][C]12[/C][C]11.0206[/C][C]0.979437[/C][/ROW]
[ROW][C]134[/C][C]8[/C][C]10.4419[/C][C]-2.44193[/C][/ROW]
[ROW][C]135[/C][C]9[/C][C]11.1248[/C][C]-2.12483[/C][/ROW]
[ROW][C]136[/C][C]15[/C][C]9.84386[/C][C]5.15614[/C][/ROW]
[ROW][C]137[/C][C]12[/C][C]11.5166[/C][C]0.483412[/C][/ROW]
[ROW][C]138[/C][C]12[/C][C]10.4618[/C][C]1.53823[/C][/ROW]
[ROW][C]139[/C][C]15[/C][C]10.6604[/C][C]4.33961[/C][/ROW]
[ROW][C]140[/C][C]11[/C][C]10.9064[/C][C]0.0936225[/C][/ROW]
[ROW][C]141[/C][C]12[/C][C]11.438[/C][C]0.561972[/C][/ROW]
[ROW][C]142[/C][C]6[/C][C]9.95217[/C][C]-3.95217[/C][/ROW]
[ROW][C]143[/C][C]14[/C][C]10.3377[/C][C]3.66233[/C][/ROW]
[ROW][C]144[/C][C]12[/C][C]11.355[/C][C]0.644969[/C][/ROW]
[ROW][C]145[/C][C]12[/C][C]10.4537[/C][C]1.54632[/C][/ROW]
[ROW][C]146[/C][C]12[/C][C]10.7746[/C][C]1.22543[/C][/ROW]
[ROW][C]147[/C][C]11[/C][C]10.5191[/C][C]0.480942[/C][/ROW]
[ROW][C]148[/C][C]12[/C][C]12.0067[/C][C]-0.00673926[/C][/ROW]
[ROW][C]149[/C][C]12[/C][C]10.8003[/C][C]1.19972[/C][/ROW]
[ROW][C]150[/C][C]12[/C][C]10.7235[/C][C]1.27645[/C][/ROW]
[ROW][C]151[/C][C]12[/C][C]10.8161[/C][C]1.18393[/C][/ROW]
[ROW][C]152[/C][C]8[/C][C]10.7823[/C][C]-2.78227[/C][/ROW]
[ROW][C]153[/C][C]8[/C][C]10.9971[/C][C]-2.99707[/C][/ROW]
[ROW][C]154[/C][C]12[/C][C]10.9971[/C][C]1.00293[/C][/ROW]
[ROW][C]155[/C][C]12[/C][C]9.69039[/C][C]2.30961[/C][/ROW]
[ROW][C]156[/C][C]11[/C][C]11.4457[/C][C]-0.445727[/C][/ROW]
[ROW][C]157[/C][C]10[/C][C]11.5107[/C][C]-1.51072[/C][/ROW]
[ROW][C]158[/C][C]11[/C][C]11.8118[/C][C]-0.811775[/C][/ROW]
[ROW][C]159[/C][C]12[/C][C]10.7096[/C][C]1.29041[/C][/ROW]
[ROW][C]160[/C][C]13[/C][C]11.4556[/C][C]1.54436[/C][/ROW]
[ROW][C]161[/C][C]12[/C][C]10.0799[/C][C]1.92007[/C][/ROW]
[ROW][C]162[/C][C]12[/C][C]10.4401[/C][C]1.55989[/C][/ROW]
[ROW][C]163[/C][C]10[/C][C]10.9005[/C][C]-0.900505[/C][/ROW]
[ROW][C]164[/C][C]10[/C][C]10.4008[/C][C]-0.400827[/C][/ROW]
[ROW][C]165[/C][C]11[/C][C]11.2647[/C][C]-0.264726[/C][/ROW]
[ROW][C]166[/C][C]8[/C][C]11.011[/C][C]-3.01104[/C][/ROW]
[ROW][C]167[/C][C]12[/C][C]10.5719[/C][C]1.42809[/C][/ROW]
[ROW][C]168[/C][C]9[/C][C]10.5187[/C][C]-1.51867[/C][/ROW]
[ROW][C]169[/C][C]12[/C][C]10.747[/C][C]1.25296[/C][/ROW]
[ROW][C]170[/C][C]9[/C][C]11.4674[/C][C]-2.46739[/C][/ROW]
[ROW][C]171[/C][C]11[/C][C]11.0698[/C][C]-0.0697613[/C][/ROW]
[ROW][C]172[/C][C]15[/C][C]11.8529[/C][C]3.14712[/C][/ROW]
[ROW][C]173[/C][C]8[/C][C]10.7078[/C][C]-2.70776[/C][/ROW]
[ROW][C]174[/C][C]8[/C][C]10.8021[/C][C]-2.80211[/C][/ROW]
[ROW][C]175[/C][C]11[/C][C]11.0404[/C][C]-0.0403992[/C][/ROW]
[ROW][C]176[/C][C]11[/C][C]10.9971[/C][C]0.00292625[/C][/ROW]
[ROW][C]177[/C][C]11[/C][C]10.5462[/C][C]0.453798[/C][/ROW]
[ROW][C]178[/C][C]13[/C][C]10.6626[/C][C]2.33739[/C][/ROW]
[ROW][C]179[/C][C]7[/C][C]9.42861[/C][C]-2.42861[/C][/ROW]
[ROW][C]180[/C][C]12[/C][C]10.4893[/C][C]1.5107[/C][/ROW]
[ROW][C]181[/C][C]8[/C][C]10.3101[/C][C]-2.31013[/C][/ROW]
[ROW][C]182[/C][C]8[/C][C]10.7452[/C][C]-2.74521[/C][/ROW]
[ROW][C]183[/C][C]4[/C][C]10.204[/C][C]-6.20404[/C][/ROW]
[ROW][C]184[/C][C]11[/C][C]10.5778[/C][C]0.422217[/C][/ROW]
[ROW][C]185[/C][C]10[/C][C]10.8355[/C][C]-0.835517[/C][/ROW]
[ROW][C]186[/C][C]7[/C][C]9.92059[/C][C]-2.92059[/C][/ROW]
[ROW][C]187[/C][C]12[/C][C]11.0521[/C][C]0.947856[/C][/ROW]
[ROW][C]188[/C][C]11[/C][C]11.0856[/C][C]-0.0855516[/C][/ROW]
[ROW][C]189[/C][C]9[/C][C]11.0973[/C][C]-2.0973[/C][/ROW]
[ROW][C]190[/C][C]10[/C][C]11.2115[/C][C]-1.21148[/C][/ROW]
[ROW][C]191[/C][C]8[/C][C]10.5895[/C][C]-2.58953[/C][/ROW]
[ROW][C]192[/C][C]8[/C][C]10.4618[/C][C]-2.46177[/C][/ROW]
[ROW][C]193[/C][C]11[/C][C]11.2133[/C][C]-0.21331[/C][/ROW]
[ROW][C]194[/C][C]12[/C][C]11.188[/C][C]0.812007[/C][/ROW]
[ROW][C]195[/C][C]10[/C][C]11.2607[/C][C]-1.26068[/C][/ROW]
[ROW][C]196[/C][C]10[/C][C]10.2198[/C][C]-0.219826[/C][/ROW]
[ROW][C]197[/C][C]12[/C][C]10.9835[/C][C]1.0165[/C][/ROW]
[ROW][C]198[/C][C]8[/C][C]10.3435[/C][C]-2.34354[/C][/ROW]
[ROW][C]199[/C][C]11[/C][C]10.5602[/C][C]0.439835[/C][/ROW]
[ROW][C]200[/C][C]8[/C][C]10.4676[/C][C]-2.46764[/C][/ROW]
[ROW][C]201[/C][C]10[/C][C]11.4024[/C][C]-1.4024[/C][/ROW]
[ROW][C]202[/C][C]14[/C][C]11.4425[/C][C]2.55754[/C][/ROW]
[ROW][C]203[/C][C]9[/C][C]11.5581[/C][C]-2.55809[/C][/ROW]
[ROW][C]204[/C][C]9[/C][C]10.9222[/C][C]-1.92217[/C][/ROW]
[ROW][C]205[/C][C]10[/C][C]10.1901[/C][C]-0.190072[/C][/ROW]
[ROW][C]206[/C][C]13[/C][C]10.3395[/C][C]2.66051[/C][/ROW]
[ROW][C]207[/C][C]12[/C][C]10.1625[/C][C]1.83746[/C][/ROW]
[ROW][C]208[/C][C]13[/C][C]10.7096[/C][C]2.29041[/C][/ROW]
[ROW][C]209[/C][C]8[/C][C]10.3715[/C][C]-2.37146[/C][/ROW]
[ROW][C]210[/C][C]3[/C][C]10.1743[/C][C]-7.17428[/C][/ROW]
[ROW][C]211[/C][C]8[/C][C]10.3986[/C][C]-2.39861[/C][/ROW]
[ROW][C]212[/C][C]12[/C][C]10.7687[/C][C]1.2313[/C][/ROW]
[ROW][C]213[/C][C]11[/C][C]10.808[/C][C]0.192018[/C][/ROW]
[ROW][C]214[/C][C]9[/C][C]10.8906[/C][C]-1.89059[/C][/ROW]
[ROW][C]215[/C][C]12[/C][C]10.5579[/C][C]1.44205[/C][/ROW]
[ROW][C]216[/C][C]12[/C][C]10.6721[/C][C]1.32787[/C][/ROW]
[ROW][C]217[/C][C]12[/C][C]10.8043[/C][C]1.19567[/C][/ROW]
[ROW][C]218[/C][C]10[/C][C]10.0623[/C][C]-0.0623143[/C][/ROW]
[ROW][C]219[/C][C]13[/C][C]10.928[/C][C]2.07196[/C][/ROW]
[ROW][C]220[/C][C]9[/C][C]10.3101[/C][C]-1.31013[/C][/ROW]
[ROW][C]221[/C][C]12[/C][C]10.6428[/C][C]1.35723[/C][/ROW]
[ROW][C]222[/C][C]11[/C][C]10.7055[/C][C]0.294459[/C][/ROW]
[ROW][C]223[/C][C]14[/C][C]11.0007[/C][C]2.99927[/C][/ROW]
[ROW][C]224[/C][C]11[/C][C]10.8711[/C][C]0.128857[/C][/ROW]
[ROW][C]225[/C][C]9[/C][C]10.3435[/C][C]-1.34354[/C][/ROW]
[ROW][C]226[/C][C]12[/C][C]10.5345[/C][C]1.46554[/C][/ROW]
[ROW][C]227[/C][C]8[/C][C]10.4893[/C][C]-2.4893[/C][/ROW]
[ROW][C]228[/C][C]15[/C][C]11.0797[/C][C]3.92032[/C][/ROW]
[ROW][C]229[/C][C]12[/C][C]11.054[/C][C]0.946029[/C][/ROW]
[ROW][C]230[/C][C]14[/C][C]10.989[/C][C]3.01102[/C][/ROW]
[ROW][C]231[/C][C]12[/C][C]10.5994[/C][C]1.40055[/C][/ROW]
[ROW][C]232[/C][C]9[/C][C]11.2607[/C][C]-2.26068[/C][/ROW]
[ROW][C]233[/C][C]9[/C][C]10.757[/C][C]-1.75696[/C][/ROW]
[ROW][C]234[/C][C]13[/C][C]11.105[/C][C]1.895[/C][/ROW]
[ROW][C]235[/C][C]13[/C][C]10.4203[/C][C]2.57973[/C][/ROW]
[ROW][C]236[/C][C]15[/C][C]10.747[/C][C]4.25296[/C][/ROW]
[ROW][C]237[/C][C]11[/C][C]11.0738[/C][C]-0.0738068[/C][/ROW]
[ROW][C]238[/C][C]7[/C][C]10.7155[/C][C]-3.71546[/C][/ROW]
[ROW][C]239[/C][C]10[/C][C]11.0382[/C][C]-1.03818[/C][/ROW]
[ROW][C]240[/C][C]11[/C][C]10.3737[/C][C]0.626317[/C][/ROW]
[ROW][C]241[/C][C]14[/C][C]11.2449[/C][C]2.75511[/C][/ROW]
[ROW][C]242[/C][C]14[/C][C]11.5401[/C][C]2.45992[/C][/ROW]
[ROW][C]243[/C][C]13[/C][C]10.182[/C][C]2.81802[/C][/ROW]
[ROW][C]244[/C][C]12[/C][C]10.9596[/C][C]1.04038[/C][/ROW]
[ROW][C]245[/C][C]8[/C][C]10.5976[/C][C]-2.59762[/C][/ROW]
[ROW][C]246[/C][C]13[/C][C]10.576[/C][C]2.42404[/C][/ROW]
[ROW][C]247[/C][C]9[/C][C]10.6563[/C][C]-1.65634[/C][/ROW]
[ROW][C]248[/C][C]12[/C][C]10.4225[/C][C]1.57751[/C][/ROW]
[ROW][C]249[/C][C]13[/C][C]10.2591[/C][C]2.74089[/C][/ROW]
[ROW][C]250[/C][C]11[/C][C]11.1682[/C][C]-0.168157[/C][/ROW]
[ROW][C]251[/C][C]11[/C][C]11.1682[/C][C]-0.168157[/C][/ROW]
[ROW][C]252[/C][C]13[/C][C]10.7155[/C][C]2.28454[/C][/ROW]
[ROW][C]253[/C][C]12[/C][C]10.5561[/C][C]1.44388[/C][/ROW]
[ROW][C]254[/C][C]12[/C][C]10.5502[/C][C]1.44975[/C][/ROW]
[ROW][C]255[/C][C]10[/C][C]9.32435[/C][C]0.675654[/C][/ROW]
[ROW][C]256[/C][C]9[/C][C]10.1508[/C][C]-1.15079[/C][/ROW]
[ROW][C]257[/C][C]10[/C][C]11.0147[/C][C]-1.01469[/C][/ROW]
[ROW][C]258[/C][C]13[/C][C]10.6938[/C][C]2.3062[/C][/ROW]
[ROW][C]259[/C][C]13[/C][C]11.0341[/C][C]1.96586[/C][/ROW]
[ROW][C]260[/C][C]9[/C][C]10.5895[/C][C]-1.58953[/C][/ROW]
[ROW][C]261[/C][C]11[/C][C]10.4166[/C][C]0.583383[/C][/ROW]
[ROW][C]262[/C][C]12[/C][C]11.0386[/C][C]0.961428[/C][/ROW]
[ROW][C]263[/C][C]8[/C][C]10.5954[/C][C]-2.5954[/C][/ROW]
[ROW][C]264[/C][C]12[/C][C]10.5583[/C][C]1.44166[/C][/ROW]
[ROW][C]265[/C][C]12[/C][C]11.2056[/C][C]0.79439[/C][/ROW]
[ROW][C]266[/C][C]12[/C][C]10.7412[/C][C]1.25883[/C][/ROW]
[ROW][C]267[/C][C]9[/C][C]10.7669[/C][C]-1.76687[/C][/ROW]
[ROW][C]268[/C][C]12[/C][C]10.2081[/C][C]1.79192[/C][/ROW]
[ROW][C]269[/C][C]12[/C][C]11.5478[/C][C]0.452223[/C][/ROW]
[ROW][C]270[/C][C]11[/C][C]11.3374[/C][C]-0.337413[/C][/ROW]
[ROW][C]271[/C][C]12[/C][C]11.0756[/C][C]0.924366[/C][/ROW]
[ROW][C]272[/C][C]6[/C][C]10.8414[/C][C]-4.84139[/C][/ROW]
[ROW][C]273[/C][C]7[/C][C]10.2294[/C][C]-3.22935[/C][/ROW]
[ROW][C]274[/C][C]10[/C][C]10.7312[/C][C]-0.731249[/C][/ROW]
[ROW][C]275[/C][C]12[/C][C]10.9005[/C][C]1.09949[/C][/ROW]
[ROW][C]276[/C][C]10[/C][C]11.0856[/C][C]-1.08555[/C][/ROW]
[ROW][C]277[/C][C]12[/C][C]10.515[/C][C]1.48499[/C][/ROW]
[ROW][C]278[/C][C]9[/C][C]10.808[/C][C]-1.80798[/C][/ROW]
[ROW][C]279[/C][C]3[/C][C]10.3476[/C][C]-7.34758[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=263816&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=263816&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
1129.737762.26224
2811.0029-3.00295
31110.19230.807709
41311.31.70004
51110.48750.512522
61010.692-0.691969
7710.5187-3.51867
81010.5308-0.530803
91511.85473.14529
101211.92820.0718208
111210.52271.47729
121011.5775-1.57753
131010.4104-0.410353
141410.81393.18615
15611.2625-5.26251
161211.03230.967692
171410.22753.77247
181110.78040.219553
19810.9754-2.97541
201211.42770.572282
211511.20163.79844
221311.14651.85351
231110.85720.14282
241210.78631.21368
25711.1682-4.16816
261110.63290.367147
27710.873-3.87297
281210.72941.27058
291211.2390.760982
301310.50292.49712
3199.4521-0.452104
321110.89870.101322
331210.83551.16448
341510.16254.83746
351210.51281.48721
36610.8062-4.80615
37510.6821-5.68205
381310.91042.08958
391111.2864-0.286389
40610.2077-4.20769
411210.3341.66599
421010.6252-0.625154
43610.5286-4.52858
44129.617322.38268
45119.609621.39038
46611.4358-5.43581
471210.67441.32565
481211.04810.951901
49811.1916-3.19165
501010.4893-0.489305
511110.67210.327867
52710.6369-3.6369
531210.35751.6425
541311.25661.74337
551411.22732.77273
561210.82961.17036
5769.93416-3.93416
581410.76873.2313
591010.3909-0.390909
601210.53851.4615
611111.1564-0.156412
621010.7804-0.780447
6379.93416-2.93416
641210.33581.66416
65710.8495-3.84948
661210.36341.63663
671211.20740.792563
681011.0738-1.07381
691010.3751-0.375119
70129.975662.02434
711210.77271.22725
721210.66441.33557
73810.9971-2.99707
741011.5757-1.5757
7559.67239-4.67239
761011.2963-1.29631
771010.1567-0.156665
781210.13321.86683
791111.3591-0.359076
8099.74142-0.741419
811210.61121.38881
821110.52270.477288
831010.6663-0.666261
841210.39271.60726
851010.9064-0.906377
86910.2316-1.23157
871111.0088-0.00881862
881211.06390.936111
89710.9515-3.95153
901110.82380.176228
911210.61711.38294
92610.757-4.75696
9399.80641-0.806407
941511.46333.53666
95109.708010.291989
961110.60350.396509
971211.30.70004
981210.98721.01284
991210.8731.12703
1001110.22170.778347
101911.0874-2.08738
1021110.90050.099495
1031211.14240.857551
104129.347842.65216
1051410.98313.01689
106810.6486-2.64864
1071010.6861-0.686096
108910.9695-1.96954
1091010.4203-0.420271
110911.0639-2.06389
1111010.9537-0.953748
1121211.14650.853506
1131111.1131-0.113087
114910.9952-1.99525
115119.115811.88419
1161210.35351.64654
1171210.80211.19789
118710.8653-3.86527
1191211.03450.965473
1201210.81021.1898
1211211.07970.920321
1221011.0422-1.04223
1231510.6924.30803
1241010.6883-0.688315
1251511.19163.80835
1261010.7136-0.713631
1271510.77464.22543
12899.97566-0.975663
1291510.79044.20964
1301211.54590.45405
1311310.68612.3139
1321210.60351.39651
1331211.02060.979437
134810.4419-2.44193
135911.1248-2.12483
136159.843865.15614
1371211.51660.483412
1381210.46181.53823
1391510.66044.33961
1401110.90640.0936225
1411211.4380.561972
14269.95217-3.95217
1431410.33773.66233
1441211.3550.644969
1451210.45371.54632
1461210.77461.22543
1471110.51910.480942
1481212.0067-0.00673926
1491210.80031.19972
1501210.72351.27645
1511210.81611.18393
152810.7823-2.78227
153810.9971-2.99707
1541210.99711.00293
155129.690392.30961
1561111.4457-0.445727
1571011.5107-1.51072
1581111.8118-0.811775
1591210.70961.29041
1601311.45561.54436
1611210.07991.92007
1621210.44011.55989
1631010.9005-0.900505
1641010.4008-0.400827
1651111.2647-0.264726
166811.011-3.01104
1671210.57191.42809
168910.5187-1.51867
1691210.7471.25296
170911.4674-2.46739
1711111.0698-0.0697613
1721511.85293.14712
173810.7078-2.70776
174810.8021-2.80211
1751111.0404-0.0403992
1761110.99710.00292625
1771110.54620.453798
1781310.66262.33739
17979.42861-2.42861
1801210.48931.5107
181810.3101-2.31013
182810.7452-2.74521
183410.204-6.20404
1841110.57780.422217
1851010.8355-0.835517
18679.92059-2.92059
1871211.05210.947856
1881111.0856-0.0855516
189911.0973-2.0973
1901011.2115-1.21148
191810.5895-2.58953
192810.4618-2.46177
1931111.2133-0.21331
1941211.1880.812007
1951011.2607-1.26068
1961010.2198-0.219826
1971210.98351.0165
198810.3435-2.34354
1991110.56020.439835
200810.4676-2.46764
2011011.4024-1.4024
2021411.44252.55754
203911.5581-2.55809
204910.9222-1.92217
2051010.1901-0.190072
2061310.33952.66051
2071210.16251.83746
2081310.70962.29041
209810.3715-2.37146
210310.1743-7.17428
211810.3986-2.39861
2121210.76871.2313
2131110.8080.192018
214910.8906-1.89059
2151210.55791.44205
2161210.67211.32787
2171210.80431.19567
2181010.0623-0.0623143
2191310.9282.07196
220910.3101-1.31013
2211210.64281.35723
2221110.70550.294459
2231411.00072.99927
2241110.87110.128857
225910.3435-1.34354
2261210.53451.46554
227810.4893-2.4893
2281511.07973.92032
2291211.0540.946029
2301410.9893.01102
2311210.59941.40055
232911.2607-2.26068
233910.757-1.75696
2341311.1051.895
2351310.42032.57973
2361510.7474.25296
2371111.0738-0.0738068
238710.7155-3.71546
2391011.0382-1.03818
2401110.37370.626317
2411411.24492.75511
2421411.54012.45992
2431310.1822.81802
2441210.95961.04038
245810.5976-2.59762
2461310.5762.42404
247910.6563-1.65634
2481210.42251.57751
2491310.25912.74089
2501111.1682-0.168157
2511111.1682-0.168157
2521310.71552.28454
2531210.55611.44388
2541210.55021.44975
255109.324350.675654
256910.1508-1.15079
2571011.0147-1.01469
2581310.69382.3062
2591311.03411.96586
260910.5895-1.58953
2611110.41660.583383
2621211.03860.961428
263810.5954-2.5954
2641210.55831.44166
2651211.20560.79439
2661210.74121.25883
267910.7669-1.76687
2681210.20811.79192
2691211.54780.452223
2701111.3374-0.337413
2711211.07560.924366
272610.8414-4.84139
273710.2294-3.22935
2741010.7312-0.731249
2751210.90051.09949
2761011.0856-1.08555
2771210.5151.48499
278910.808-1.80798
279310.3476-7.34758






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
60.5055940.9888120.494406
70.6203440.7593130.379656
80.5317720.9364550.468228
90.7378340.5243320.262166
100.6588090.6823820.341191
110.5939660.8120680.406034
120.5559910.8880190.444009
130.464320.9286410.53568
140.5304510.9390980.469549
150.8238610.3522790.176139
160.7806380.4387230.219362
170.8328550.3342890.167145
180.7820330.4359340.217967
190.8073170.3853650.192683
200.7615260.4769480.238474
210.8341780.3316440.165822
220.8126450.374710.187355
230.7662360.4675280.233764
240.7204620.5590760.279538
250.824250.35150.17575
260.7821980.4356050.217802
270.852310.2953790.14769
280.8264670.3470650.173533
290.7932380.4135240.206762
300.7811090.4377830.218891
310.7557130.4885730.244287
320.7103890.5792210.289611
330.6701160.6597670.329884
340.7733270.4533460.226673
350.738640.5227210.26136
360.8585050.282990.141495
370.9579560.08408720.0420436
380.9558490.08830160.0441508
390.9433580.1132840.0566418
400.971940.056120.02806
410.9673230.06535330.0326767
420.9585140.08297220.0414861
430.9790480.04190340.0209517
440.9772490.04550230.0227511
450.9716040.05679220.0283961
460.9886820.02263610.0113181
470.9863140.02737230.0136861
480.983130.0337390.0168695
490.9850320.02993580.0149679
500.9806670.03866580.0193329
510.9751080.0497840.024892
520.9819970.03600570.0180029
530.9790990.04180110.0209006
540.9781750.04365090.0218254
550.9818670.03626670.0181334
560.9782070.04358510.0217926
570.9873320.02533630.0126681
580.9900980.0198030.00990151
590.9871840.02563150.0128157
600.9848540.03029120.0151456
610.9805450.038910.019455
620.9757690.04846130.0242307
630.9791110.04177710.0208885
640.9761660.04766860.0238343
650.9839020.0321960.016098
660.9815980.03680330.0184017
670.9777460.04450730.0222536
680.9730870.05382530.0269126
690.966620.06675910.0333795
700.9640.07199970.0359999
710.958090.08382080.0419104
720.9519380.09612380.0480619
730.9572910.08541820.0427091
740.9511960.09760770.0488039
750.9748890.05022210.025111
760.9706610.0586780.029339
770.963790.07241970.0362098
780.9605770.07884570.0394228
790.9520650.09586960.0479348
800.9433210.1133580.0566789
810.9370020.1259950.0629977
820.9252970.1494070.0747033
830.9121350.1757310.0878654
840.9050530.1898950.0949473
850.890480.219040.10952
860.8784360.2431280.121564
870.8589760.2820490.141024
880.8423940.3152120.157606
890.8761590.2476820.123841
900.8569890.2860220.143011
910.845410.3091790.15459
920.905320.1893610.0946804
930.891670.2166590.10833
940.9171430.1657150.0828574
950.9027550.194490.0972452
960.8869620.2260750.113038
970.8717510.2564990.128249
980.8567380.2865240.143262
990.8417660.3164670.158234
1000.8219650.3560690.178035
1010.8160560.3678870.183944
1020.7918230.4163540.208177
1030.7713050.4573890.228695
1040.7794090.4411830.220591
1050.8017220.3965560.198278
1060.8097950.380410.190205
1070.7872260.4255470.212774
1080.780350.43930.21965
1090.7543320.4913360.245668
1100.7482650.5034710.251735
1110.7243240.5513520.275676
1120.7000650.5998690.299935
1130.6693380.6613240.330662
1140.6614030.6771940.338597
1150.6510090.6979820.348991
1160.636260.7274810.36374
1170.6135120.7729760.386488
1180.6737820.6524350.326218
1190.6491610.7016780.350839
1200.6265150.7469710.373485
1210.5999230.8001530.400077
1220.5731190.8537630.426881
1230.6620890.6758230.337911
1240.6329410.7341170.367059
1250.6930040.6139920.306996
1260.6650860.6698290.334914
1270.7402610.5194780.259739
1280.7172580.5654840.282742
1290.7852210.4295580.214779
1300.7606430.4787140.239357
1310.7623110.4753770.237689
1320.7458680.5082640.254132
1330.7230130.5539750.276987
1340.7278290.5443420.272171
1350.7248440.5503120.275156
1360.8350460.3299090.164954
1370.8141110.3717780.185889
1380.802330.3953410.19767
1390.8619390.2761230.138061
1400.8421430.3157150.157857
1410.8218430.3563140.178157
1420.8627460.2745080.137254
1430.893540.2129190.10646
1440.8781410.2437180.121859
1450.8697110.2605770.130289
1460.856790.286420.14321
1470.837790.3244210.16221
1480.8169730.3660550.183027
1490.8005080.3989830.199492
1500.7843920.4312170.215608
1510.7661080.4677840.233892
1520.7795650.4408690.220435
1530.799820.400360.20018
1540.7797410.4405190.220259
1550.7903560.4192890.209644
1560.7666960.4666080.233304
1570.7557040.4885920.244296
1580.7366190.5267610.263381
1590.7181940.5636110.281806
1600.6997380.6005230.300262
1610.7007740.5984520.299226
1620.6893850.6212310.310615
1630.6632750.6734490.336725
1640.6321030.7357940.367897
1650.6002280.7995440.399772
1660.631240.737520.36876
1670.61450.7710.3855
1680.5939060.8121870.406094
1690.5714050.857190.428595
1700.5922890.8154220.407711
1710.5581370.8837260.441863
1720.5752840.8494320.424716
1730.5898470.8203060.410153
1740.6094270.7811450.390573
1750.5753440.8493110.424656
1760.5404020.9191970.459598
1770.5080020.9839950.491998
1780.513230.9735390.48677
1790.5045540.9908930.495446
1800.4894210.9788410.510579
1810.4839350.9678690.516065
1820.5008860.9982270.499114
1830.710460.5790790.28954
1840.6803380.6393240.319662
1850.6518160.6963670.348184
1860.6642440.6715120.335756
1870.6348420.7303160.365158
1880.600190.799620.39981
1890.6000360.7999290.399964
1900.5791820.8416350.420818
1910.5891840.8216330.410816
1920.5948610.8102770.405139
1930.5598340.8803310.440166
1940.5254220.9491560.474578
1950.5066140.9867720.493386
1960.469150.93830.53085
1970.4366230.8732460.563377
1980.4354620.8709230.564538
1990.3996430.7992860.600357
2000.4061290.8122580.593871
2010.3939690.7879380.606031
2020.3877940.7755880.612206
2030.4239820.8479640.576018
2040.4219120.8438230.578088
2050.3843650.768730.615635
2060.409450.81890.59055
2070.4082890.8165780.591711
2080.4084080.8168170.591592
2090.4171290.8342590.582871
2100.7354640.5290720.264536
2110.7395270.5209460.260473
2120.7124560.5750870.287544
2130.6766460.6467070.323354
2140.6741590.6516820.325841
2150.6515250.696950.348475
2160.6245570.7508850.375443
2170.5897910.8204180.410209
2180.548480.903040.45152
2190.5338650.932270.466135
2200.5047880.9904240.495212
2210.4741120.9482250.525888
2220.4320530.8641060.567947
2230.456760.913520.54324
2240.4146540.8293080.585346
2250.3851780.7703560.614822
2260.3601230.7202460.639877
2270.3734080.7468160.626592
2280.4372920.8745840.562708
2290.3982380.7964750.601762
2300.4278860.8557710.572114
2310.3989030.7978060.601097
2320.4100030.8200060.589997
2330.3996660.7993320.600334
2340.3867510.7735030.613249
2350.4110770.8221540.588923
2360.5318420.9363160.468158
2370.4849670.9699350.515033
2380.5576220.8847560.442378
2390.518940.962120.48106
2400.4710960.9421920.528904
2410.4837910.9675820.516209
2420.4863590.9727180.513641
2430.5946180.8107640.405382
2440.5498540.9002930.450146
2450.5942840.8114320.405716
2460.5873660.8252680.412634
2470.5394720.9210550.460528
2480.5012170.9975660.498783
2490.5369260.9261480.463074
2500.4790820.9581630.520918
2510.421070.8421390.57893
2520.4626930.9253860.537307
2530.4559780.9119570.544022
2540.447210.8944210.55279
2550.4891740.9783470.510826
2560.4323290.8646570.567671
2570.3831410.7662820.616859
2580.5119590.9760820.488041
2590.6624120.6751760.337588
2600.6030050.793990.396995
2610.5405190.9189630.459481
2620.5127970.9744050.487203
2630.4410560.8821120.558944
2640.3708290.7416570.629171
2650.2940380.5880770.705962
2660.2851180.5702370.714882
2670.2923590.5847170.707641
2680.2905630.5811250.709437
2690.2142550.428510.785745
2700.16560.33120.8344
2710.1199190.2398380.880081
2720.1324750.2649490.867525
2730.1381720.2763440.861828

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
6 & 0.505594 & 0.988812 & 0.494406 \tabularnewline
7 & 0.620344 & 0.759313 & 0.379656 \tabularnewline
8 & 0.531772 & 0.936455 & 0.468228 \tabularnewline
9 & 0.737834 & 0.524332 & 0.262166 \tabularnewline
10 & 0.658809 & 0.682382 & 0.341191 \tabularnewline
11 & 0.593966 & 0.812068 & 0.406034 \tabularnewline
12 & 0.555991 & 0.888019 & 0.444009 \tabularnewline
13 & 0.46432 & 0.928641 & 0.53568 \tabularnewline
14 & 0.530451 & 0.939098 & 0.469549 \tabularnewline
15 & 0.823861 & 0.352279 & 0.176139 \tabularnewline
16 & 0.780638 & 0.438723 & 0.219362 \tabularnewline
17 & 0.832855 & 0.334289 & 0.167145 \tabularnewline
18 & 0.782033 & 0.435934 & 0.217967 \tabularnewline
19 & 0.807317 & 0.385365 & 0.192683 \tabularnewline
20 & 0.761526 & 0.476948 & 0.238474 \tabularnewline
21 & 0.834178 & 0.331644 & 0.165822 \tabularnewline
22 & 0.812645 & 0.37471 & 0.187355 \tabularnewline
23 & 0.766236 & 0.467528 & 0.233764 \tabularnewline
24 & 0.720462 & 0.559076 & 0.279538 \tabularnewline
25 & 0.82425 & 0.3515 & 0.17575 \tabularnewline
26 & 0.782198 & 0.435605 & 0.217802 \tabularnewline
27 & 0.85231 & 0.295379 & 0.14769 \tabularnewline
28 & 0.826467 & 0.347065 & 0.173533 \tabularnewline
29 & 0.793238 & 0.413524 & 0.206762 \tabularnewline
30 & 0.781109 & 0.437783 & 0.218891 \tabularnewline
31 & 0.755713 & 0.488573 & 0.244287 \tabularnewline
32 & 0.710389 & 0.579221 & 0.289611 \tabularnewline
33 & 0.670116 & 0.659767 & 0.329884 \tabularnewline
34 & 0.773327 & 0.453346 & 0.226673 \tabularnewline
35 & 0.73864 & 0.522721 & 0.26136 \tabularnewline
36 & 0.858505 & 0.28299 & 0.141495 \tabularnewline
37 & 0.957956 & 0.0840872 & 0.0420436 \tabularnewline
38 & 0.955849 & 0.0883016 & 0.0441508 \tabularnewline
39 & 0.943358 & 0.113284 & 0.0566418 \tabularnewline
40 & 0.97194 & 0.05612 & 0.02806 \tabularnewline
41 & 0.967323 & 0.0653533 & 0.0326767 \tabularnewline
42 & 0.958514 & 0.0829722 & 0.0414861 \tabularnewline
43 & 0.979048 & 0.0419034 & 0.0209517 \tabularnewline
44 & 0.977249 & 0.0455023 & 0.0227511 \tabularnewline
45 & 0.971604 & 0.0567922 & 0.0283961 \tabularnewline
46 & 0.988682 & 0.0226361 & 0.0113181 \tabularnewline
47 & 0.986314 & 0.0273723 & 0.0136861 \tabularnewline
48 & 0.98313 & 0.033739 & 0.0168695 \tabularnewline
49 & 0.985032 & 0.0299358 & 0.0149679 \tabularnewline
50 & 0.980667 & 0.0386658 & 0.0193329 \tabularnewline
51 & 0.975108 & 0.049784 & 0.024892 \tabularnewline
52 & 0.981997 & 0.0360057 & 0.0180029 \tabularnewline
53 & 0.979099 & 0.0418011 & 0.0209006 \tabularnewline
54 & 0.978175 & 0.0436509 & 0.0218254 \tabularnewline
55 & 0.981867 & 0.0362667 & 0.0181334 \tabularnewline
56 & 0.978207 & 0.0435851 & 0.0217926 \tabularnewline
57 & 0.987332 & 0.0253363 & 0.0126681 \tabularnewline
58 & 0.990098 & 0.019803 & 0.00990151 \tabularnewline
59 & 0.987184 & 0.0256315 & 0.0128157 \tabularnewline
60 & 0.984854 & 0.0302912 & 0.0151456 \tabularnewline
61 & 0.980545 & 0.03891 & 0.019455 \tabularnewline
62 & 0.975769 & 0.0484613 & 0.0242307 \tabularnewline
63 & 0.979111 & 0.0417771 & 0.0208885 \tabularnewline
64 & 0.976166 & 0.0476686 & 0.0238343 \tabularnewline
65 & 0.983902 & 0.032196 & 0.016098 \tabularnewline
66 & 0.981598 & 0.0368033 & 0.0184017 \tabularnewline
67 & 0.977746 & 0.0445073 & 0.0222536 \tabularnewline
68 & 0.973087 & 0.0538253 & 0.0269126 \tabularnewline
69 & 0.96662 & 0.0667591 & 0.0333795 \tabularnewline
70 & 0.964 & 0.0719997 & 0.0359999 \tabularnewline
71 & 0.95809 & 0.0838208 & 0.0419104 \tabularnewline
72 & 0.951938 & 0.0961238 & 0.0480619 \tabularnewline
73 & 0.957291 & 0.0854182 & 0.0427091 \tabularnewline
74 & 0.951196 & 0.0976077 & 0.0488039 \tabularnewline
75 & 0.974889 & 0.0502221 & 0.025111 \tabularnewline
76 & 0.970661 & 0.058678 & 0.029339 \tabularnewline
77 & 0.96379 & 0.0724197 & 0.0362098 \tabularnewline
78 & 0.960577 & 0.0788457 & 0.0394228 \tabularnewline
79 & 0.952065 & 0.0958696 & 0.0479348 \tabularnewline
80 & 0.943321 & 0.113358 & 0.0566789 \tabularnewline
81 & 0.937002 & 0.125995 & 0.0629977 \tabularnewline
82 & 0.925297 & 0.149407 & 0.0747033 \tabularnewline
83 & 0.912135 & 0.175731 & 0.0878654 \tabularnewline
84 & 0.905053 & 0.189895 & 0.0949473 \tabularnewline
85 & 0.89048 & 0.21904 & 0.10952 \tabularnewline
86 & 0.878436 & 0.243128 & 0.121564 \tabularnewline
87 & 0.858976 & 0.282049 & 0.141024 \tabularnewline
88 & 0.842394 & 0.315212 & 0.157606 \tabularnewline
89 & 0.876159 & 0.247682 & 0.123841 \tabularnewline
90 & 0.856989 & 0.286022 & 0.143011 \tabularnewline
91 & 0.84541 & 0.309179 & 0.15459 \tabularnewline
92 & 0.90532 & 0.189361 & 0.0946804 \tabularnewline
93 & 0.89167 & 0.216659 & 0.10833 \tabularnewline
94 & 0.917143 & 0.165715 & 0.0828574 \tabularnewline
95 & 0.902755 & 0.19449 & 0.0972452 \tabularnewline
96 & 0.886962 & 0.226075 & 0.113038 \tabularnewline
97 & 0.871751 & 0.256499 & 0.128249 \tabularnewline
98 & 0.856738 & 0.286524 & 0.143262 \tabularnewline
99 & 0.841766 & 0.316467 & 0.158234 \tabularnewline
100 & 0.821965 & 0.356069 & 0.178035 \tabularnewline
101 & 0.816056 & 0.367887 & 0.183944 \tabularnewline
102 & 0.791823 & 0.416354 & 0.208177 \tabularnewline
103 & 0.771305 & 0.457389 & 0.228695 \tabularnewline
104 & 0.779409 & 0.441183 & 0.220591 \tabularnewline
105 & 0.801722 & 0.396556 & 0.198278 \tabularnewline
106 & 0.809795 & 0.38041 & 0.190205 \tabularnewline
107 & 0.787226 & 0.425547 & 0.212774 \tabularnewline
108 & 0.78035 & 0.4393 & 0.21965 \tabularnewline
109 & 0.754332 & 0.491336 & 0.245668 \tabularnewline
110 & 0.748265 & 0.503471 & 0.251735 \tabularnewline
111 & 0.724324 & 0.551352 & 0.275676 \tabularnewline
112 & 0.700065 & 0.599869 & 0.299935 \tabularnewline
113 & 0.669338 & 0.661324 & 0.330662 \tabularnewline
114 & 0.661403 & 0.677194 & 0.338597 \tabularnewline
115 & 0.651009 & 0.697982 & 0.348991 \tabularnewline
116 & 0.63626 & 0.727481 & 0.36374 \tabularnewline
117 & 0.613512 & 0.772976 & 0.386488 \tabularnewline
118 & 0.673782 & 0.652435 & 0.326218 \tabularnewline
119 & 0.649161 & 0.701678 & 0.350839 \tabularnewline
120 & 0.626515 & 0.746971 & 0.373485 \tabularnewline
121 & 0.599923 & 0.800153 & 0.400077 \tabularnewline
122 & 0.573119 & 0.853763 & 0.426881 \tabularnewline
123 & 0.662089 & 0.675823 & 0.337911 \tabularnewline
124 & 0.632941 & 0.734117 & 0.367059 \tabularnewline
125 & 0.693004 & 0.613992 & 0.306996 \tabularnewline
126 & 0.665086 & 0.669829 & 0.334914 \tabularnewline
127 & 0.740261 & 0.519478 & 0.259739 \tabularnewline
128 & 0.717258 & 0.565484 & 0.282742 \tabularnewline
129 & 0.785221 & 0.429558 & 0.214779 \tabularnewline
130 & 0.760643 & 0.478714 & 0.239357 \tabularnewline
131 & 0.762311 & 0.475377 & 0.237689 \tabularnewline
132 & 0.745868 & 0.508264 & 0.254132 \tabularnewline
133 & 0.723013 & 0.553975 & 0.276987 \tabularnewline
134 & 0.727829 & 0.544342 & 0.272171 \tabularnewline
135 & 0.724844 & 0.550312 & 0.275156 \tabularnewline
136 & 0.835046 & 0.329909 & 0.164954 \tabularnewline
137 & 0.814111 & 0.371778 & 0.185889 \tabularnewline
138 & 0.80233 & 0.395341 & 0.19767 \tabularnewline
139 & 0.861939 & 0.276123 & 0.138061 \tabularnewline
140 & 0.842143 & 0.315715 & 0.157857 \tabularnewline
141 & 0.821843 & 0.356314 & 0.178157 \tabularnewline
142 & 0.862746 & 0.274508 & 0.137254 \tabularnewline
143 & 0.89354 & 0.212919 & 0.10646 \tabularnewline
144 & 0.878141 & 0.243718 & 0.121859 \tabularnewline
145 & 0.869711 & 0.260577 & 0.130289 \tabularnewline
146 & 0.85679 & 0.28642 & 0.14321 \tabularnewline
147 & 0.83779 & 0.324421 & 0.16221 \tabularnewline
148 & 0.816973 & 0.366055 & 0.183027 \tabularnewline
149 & 0.800508 & 0.398983 & 0.199492 \tabularnewline
150 & 0.784392 & 0.431217 & 0.215608 \tabularnewline
151 & 0.766108 & 0.467784 & 0.233892 \tabularnewline
152 & 0.779565 & 0.440869 & 0.220435 \tabularnewline
153 & 0.79982 & 0.40036 & 0.20018 \tabularnewline
154 & 0.779741 & 0.440519 & 0.220259 \tabularnewline
155 & 0.790356 & 0.419289 & 0.209644 \tabularnewline
156 & 0.766696 & 0.466608 & 0.233304 \tabularnewline
157 & 0.755704 & 0.488592 & 0.244296 \tabularnewline
158 & 0.736619 & 0.526761 & 0.263381 \tabularnewline
159 & 0.718194 & 0.563611 & 0.281806 \tabularnewline
160 & 0.699738 & 0.600523 & 0.300262 \tabularnewline
161 & 0.700774 & 0.598452 & 0.299226 \tabularnewline
162 & 0.689385 & 0.621231 & 0.310615 \tabularnewline
163 & 0.663275 & 0.673449 & 0.336725 \tabularnewline
164 & 0.632103 & 0.735794 & 0.367897 \tabularnewline
165 & 0.600228 & 0.799544 & 0.399772 \tabularnewline
166 & 0.63124 & 0.73752 & 0.36876 \tabularnewline
167 & 0.6145 & 0.771 & 0.3855 \tabularnewline
168 & 0.593906 & 0.812187 & 0.406094 \tabularnewline
169 & 0.571405 & 0.85719 & 0.428595 \tabularnewline
170 & 0.592289 & 0.815422 & 0.407711 \tabularnewline
171 & 0.558137 & 0.883726 & 0.441863 \tabularnewline
172 & 0.575284 & 0.849432 & 0.424716 \tabularnewline
173 & 0.589847 & 0.820306 & 0.410153 \tabularnewline
174 & 0.609427 & 0.781145 & 0.390573 \tabularnewline
175 & 0.575344 & 0.849311 & 0.424656 \tabularnewline
176 & 0.540402 & 0.919197 & 0.459598 \tabularnewline
177 & 0.508002 & 0.983995 & 0.491998 \tabularnewline
178 & 0.51323 & 0.973539 & 0.48677 \tabularnewline
179 & 0.504554 & 0.990893 & 0.495446 \tabularnewline
180 & 0.489421 & 0.978841 & 0.510579 \tabularnewline
181 & 0.483935 & 0.967869 & 0.516065 \tabularnewline
182 & 0.500886 & 0.998227 & 0.499114 \tabularnewline
183 & 0.71046 & 0.579079 & 0.28954 \tabularnewline
184 & 0.680338 & 0.639324 & 0.319662 \tabularnewline
185 & 0.651816 & 0.696367 & 0.348184 \tabularnewline
186 & 0.664244 & 0.671512 & 0.335756 \tabularnewline
187 & 0.634842 & 0.730316 & 0.365158 \tabularnewline
188 & 0.60019 & 0.79962 & 0.39981 \tabularnewline
189 & 0.600036 & 0.799929 & 0.399964 \tabularnewline
190 & 0.579182 & 0.841635 & 0.420818 \tabularnewline
191 & 0.589184 & 0.821633 & 0.410816 \tabularnewline
192 & 0.594861 & 0.810277 & 0.405139 \tabularnewline
193 & 0.559834 & 0.880331 & 0.440166 \tabularnewline
194 & 0.525422 & 0.949156 & 0.474578 \tabularnewline
195 & 0.506614 & 0.986772 & 0.493386 \tabularnewline
196 & 0.46915 & 0.9383 & 0.53085 \tabularnewline
197 & 0.436623 & 0.873246 & 0.563377 \tabularnewline
198 & 0.435462 & 0.870923 & 0.564538 \tabularnewline
199 & 0.399643 & 0.799286 & 0.600357 \tabularnewline
200 & 0.406129 & 0.812258 & 0.593871 \tabularnewline
201 & 0.393969 & 0.787938 & 0.606031 \tabularnewline
202 & 0.387794 & 0.775588 & 0.612206 \tabularnewline
203 & 0.423982 & 0.847964 & 0.576018 \tabularnewline
204 & 0.421912 & 0.843823 & 0.578088 \tabularnewline
205 & 0.384365 & 0.76873 & 0.615635 \tabularnewline
206 & 0.40945 & 0.8189 & 0.59055 \tabularnewline
207 & 0.408289 & 0.816578 & 0.591711 \tabularnewline
208 & 0.408408 & 0.816817 & 0.591592 \tabularnewline
209 & 0.417129 & 0.834259 & 0.582871 \tabularnewline
210 & 0.735464 & 0.529072 & 0.264536 \tabularnewline
211 & 0.739527 & 0.520946 & 0.260473 \tabularnewline
212 & 0.712456 & 0.575087 & 0.287544 \tabularnewline
213 & 0.676646 & 0.646707 & 0.323354 \tabularnewline
214 & 0.674159 & 0.651682 & 0.325841 \tabularnewline
215 & 0.651525 & 0.69695 & 0.348475 \tabularnewline
216 & 0.624557 & 0.750885 & 0.375443 \tabularnewline
217 & 0.589791 & 0.820418 & 0.410209 \tabularnewline
218 & 0.54848 & 0.90304 & 0.45152 \tabularnewline
219 & 0.533865 & 0.93227 & 0.466135 \tabularnewline
220 & 0.504788 & 0.990424 & 0.495212 \tabularnewline
221 & 0.474112 & 0.948225 & 0.525888 \tabularnewline
222 & 0.432053 & 0.864106 & 0.567947 \tabularnewline
223 & 0.45676 & 0.91352 & 0.54324 \tabularnewline
224 & 0.414654 & 0.829308 & 0.585346 \tabularnewline
225 & 0.385178 & 0.770356 & 0.614822 \tabularnewline
226 & 0.360123 & 0.720246 & 0.639877 \tabularnewline
227 & 0.373408 & 0.746816 & 0.626592 \tabularnewline
228 & 0.437292 & 0.874584 & 0.562708 \tabularnewline
229 & 0.398238 & 0.796475 & 0.601762 \tabularnewline
230 & 0.427886 & 0.855771 & 0.572114 \tabularnewline
231 & 0.398903 & 0.797806 & 0.601097 \tabularnewline
232 & 0.410003 & 0.820006 & 0.589997 \tabularnewline
233 & 0.399666 & 0.799332 & 0.600334 \tabularnewline
234 & 0.386751 & 0.773503 & 0.613249 \tabularnewline
235 & 0.411077 & 0.822154 & 0.588923 \tabularnewline
236 & 0.531842 & 0.936316 & 0.468158 \tabularnewline
237 & 0.484967 & 0.969935 & 0.515033 \tabularnewline
238 & 0.557622 & 0.884756 & 0.442378 \tabularnewline
239 & 0.51894 & 0.96212 & 0.48106 \tabularnewline
240 & 0.471096 & 0.942192 & 0.528904 \tabularnewline
241 & 0.483791 & 0.967582 & 0.516209 \tabularnewline
242 & 0.486359 & 0.972718 & 0.513641 \tabularnewline
243 & 0.594618 & 0.810764 & 0.405382 \tabularnewline
244 & 0.549854 & 0.900293 & 0.450146 \tabularnewline
245 & 0.594284 & 0.811432 & 0.405716 \tabularnewline
246 & 0.587366 & 0.825268 & 0.412634 \tabularnewline
247 & 0.539472 & 0.921055 & 0.460528 \tabularnewline
248 & 0.501217 & 0.997566 & 0.498783 \tabularnewline
249 & 0.536926 & 0.926148 & 0.463074 \tabularnewline
250 & 0.479082 & 0.958163 & 0.520918 \tabularnewline
251 & 0.42107 & 0.842139 & 0.57893 \tabularnewline
252 & 0.462693 & 0.925386 & 0.537307 \tabularnewline
253 & 0.455978 & 0.911957 & 0.544022 \tabularnewline
254 & 0.44721 & 0.894421 & 0.55279 \tabularnewline
255 & 0.489174 & 0.978347 & 0.510826 \tabularnewline
256 & 0.432329 & 0.864657 & 0.567671 \tabularnewline
257 & 0.383141 & 0.766282 & 0.616859 \tabularnewline
258 & 0.511959 & 0.976082 & 0.488041 \tabularnewline
259 & 0.662412 & 0.675176 & 0.337588 \tabularnewline
260 & 0.603005 & 0.79399 & 0.396995 \tabularnewline
261 & 0.540519 & 0.918963 & 0.459481 \tabularnewline
262 & 0.512797 & 0.974405 & 0.487203 \tabularnewline
263 & 0.441056 & 0.882112 & 0.558944 \tabularnewline
264 & 0.370829 & 0.741657 & 0.629171 \tabularnewline
265 & 0.294038 & 0.588077 & 0.705962 \tabularnewline
266 & 0.285118 & 0.570237 & 0.714882 \tabularnewline
267 & 0.292359 & 0.584717 & 0.707641 \tabularnewline
268 & 0.290563 & 0.581125 & 0.709437 \tabularnewline
269 & 0.214255 & 0.42851 & 0.785745 \tabularnewline
270 & 0.1656 & 0.3312 & 0.8344 \tabularnewline
271 & 0.119919 & 0.239838 & 0.880081 \tabularnewline
272 & 0.132475 & 0.264949 & 0.867525 \tabularnewline
273 & 0.138172 & 0.276344 & 0.861828 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=263816&T=5

[TABLE]
[ROW][C]Goldfeld-Quandt test for Heteroskedasticity[/C][/ROW]
[ROW][C]p-values[/C][C]Alternative Hypothesis[/C][/ROW]
[ROW][C]breakpoint index[/C][C]greater[/C][C]2-sided[/C][C]less[/C][/ROW]
[ROW][C]6[/C][C]0.505594[/C][C]0.988812[/C][C]0.494406[/C][/ROW]
[ROW][C]7[/C][C]0.620344[/C][C]0.759313[/C][C]0.379656[/C][/ROW]
[ROW][C]8[/C][C]0.531772[/C][C]0.936455[/C][C]0.468228[/C][/ROW]
[ROW][C]9[/C][C]0.737834[/C][C]0.524332[/C][C]0.262166[/C][/ROW]
[ROW][C]10[/C][C]0.658809[/C][C]0.682382[/C][C]0.341191[/C][/ROW]
[ROW][C]11[/C][C]0.593966[/C][C]0.812068[/C][C]0.406034[/C][/ROW]
[ROW][C]12[/C][C]0.555991[/C][C]0.888019[/C][C]0.444009[/C][/ROW]
[ROW][C]13[/C][C]0.46432[/C][C]0.928641[/C][C]0.53568[/C][/ROW]
[ROW][C]14[/C][C]0.530451[/C][C]0.939098[/C][C]0.469549[/C][/ROW]
[ROW][C]15[/C][C]0.823861[/C][C]0.352279[/C][C]0.176139[/C][/ROW]
[ROW][C]16[/C][C]0.780638[/C][C]0.438723[/C][C]0.219362[/C][/ROW]
[ROW][C]17[/C][C]0.832855[/C][C]0.334289[/C][C]0.167145[/C][/ROW]
[ROW][C]18[/C][C]0.782033[/C][C]0.435934[/C][C]0.217967[/C][/ROW]
[ROW][C]19[/C][C]0.807317[/C][C]0.385365[/C][C]0.192683[/C][/ROW]
[ROW][C]20[/C][C]0.761526[/C][C]0.476948[/C][C]0.238474[/C][/ROW]
[ROW][C]21[/C][C]0.834178[/C][C]0.331644[/C][C]0.165822[/C][/ROW]
[ROW][C]22[/C][C]0.812645[/C][C]0.37471[/C][C]0.187355[/C][/ROW]
[ROW][C]23[/C][C]0.766236[/C][C]0.467528[/C][C]0.233764[/C][/ROW]
[ROW][C]24[/C][C]0.720462[/C][C]0.559076[/C][C]0.279538[/C][/ROW]
[ROW][C]25[/C][C]0.82425[/C][C]0.3515[/C][C]0.17575[/C][/ROW]
[ROW][C]26[/C][C]0.782198[/C][C]0.435605[/C][C]0.217802[/C][/ROW]
[ROW][C]27[/C][C]0.85231[/C][C]0.295379[/C][C]0.14769[/C][/ROW]
[ROW][C]28[/C][C]0.826467[/C][C]0.347065[/C][C]0.173533[/C][/ROW]
[ROW][C]29[/C][C]0.793238[/C][C]0.413524[/C][C]0.206762[/C][/ROW]
[ROW][C]30[/C][C]0.781109[/C][C]0.437783[/C][C]0.218891[/C][/ROW]
[ROW][C]31[/C][C]0.755713[/C][C]0.488573[/C][C]0.244287[/C][/ROW]
[ROW][C]32[/C][C]0.710389[/C][C]0.579221[/C][C]0.289611[/C][/ROW]
[ROW][C]33[/C][C]0.670116[/C][C]0.659767[/C][C]0.329884[/C][/ROW]
[ROW][C]34[/C][C]0.773327[/C][C]0.453346[/C][C]0.226673[/C][/ROW]
[ROW][C]35[/C][C]0.73864[/C][C]0.522721[/C][C]0.26136[/C][/ROW]
[ROW][C]36[/C][C]0.858505[/C][C]0.28299[/C][C]0.141495[/C][/ROW]
[ROW][C]37[/C][C]0.957956[/C][C]0.0840872[/C][C]0.0420436[/C][/ROW]
[ROW][C]38[/C][C]0.955849[/C][C]0.0883016[/C][C]0.0441508[/C][/ROW]
[ROW][C]39[/C][C]0.943358[/C][C]0.113284[/C][C]0.0566418[/C][/ROW]
[ROW][C]40[/C][C]0.97194[/C][C]0.05612[/C][C]0.02806[/C][/ROW]
[ROW][C]41[/C][C]0.967323[/C][C]0.0653533[/C][C]0.0326767[/C][/ROW]
[ROW][C]42[/C][C]0.958514[/C][C]0.0829722[/C][C]0.0414861[/C][/ROW]
[ROW][C]43[/C][C]0.979048[/C][C]0.0419034[/C][C]0.0209517[/C][/ROW]
[ROW][C]44[/C][C]0.977249[/C][C]0.0455023[/C][C]0.0227511[/C][/ROW]
[ROW][C]45[/C][C]0.971604[/C][C]0.0567922[/C][C]0.0283961[/C][/ROW]
[ROW][C]46[/C][C]0.988682[/C][C]0.0226361[/C][C]0.0113181[/C][/ROW]
[ROW][C]47[/C][C]0.986314[/C][C]0.0273723[/C][C]0.0136861[/C][/ROW]
[ROW][C]48[/C][C]0.98313[/C][C]0.033739[/C][C]0.0168695[/C][/ROW]
[ROW][C]49[/C][C]0.985032[/C][C]0.0299358[/C][C]0.0149679[/C][/ROW]
[ROW][C]50[/C][C]0.980667[/C][C]0.0386658[/C][C]0.0193329[/C][/ROW]
[ROW][C]51[/C][C]0.975108[/C][C]0.049784[/C][C]0.024892[/C][/ROW]
[ROW][C]52[/C][C]0.981997[/C][C]0.0360057[/C][C]0.0180029[/C][/ROW]
[ROW][C]53[/C][C]0.979099[/C][C]0.0418011[/C][C]0.0209006[/C][/ROW]
[ROW][C]54[/C][C]0.978175[/C][C]0.0436509[/C][C]0.0218254[/C][/ROW]
[ROW][C]55[/C][C]0.981867[/C][C]0.0362667[/C][C]0.0181334[/C][/ROW]
[ROW][C]56[/C][C]0.978207[/C][C]0.0435851[/C][C]0.0217926[/C][/ROW]
[ROW][C]57[/C][C]0.987332[/C][C]0.0253363[/C][C]0.0126681[/C][/ROW]
[ROW][C]58[/C][C]0.990098[/C][C]0.019803[/C][C]0.00990151[/C][/ROW]
[ROW][C]59[/C][C]0.987184[/C][C]0.0256315[/C][C]0.0128157[/C][/ROW]
[ROW][C]60[/C][C]0.984854[/C][C]0.0302912[/C][C]0.0151456[/C][/ROW]
[ROW][C]61[/C][C]0.980545[/C][C]0.03891[/C][C]0.019455[/C][/ROW]
[ROW][C]62[/C][C]0.975769[/C][C]0.0484613[/C][C]0.0242307[/C][/ROW]
[ROW][C]63[/C][C]0.979111[/C][C]0.0417771[/C][C]0.0208885[/C][/ROW]
[ROW][C]64[/C][C]0.976166[/C][C]0.0476686[/C][C]0.0238343[/C][/ROW]
[ROW][C]65[/C][C]0.983902[/C][C]0.032196[/C][C]0.016098[/C][/ROW]
[ROW][C]66[/C][C]0.981598[/C][C]0.0368033[/C][C]0.0184017[/C][/ROW]
[ROW][C]67[/C][C]0.977746[/C][C]0.0445073[/C][C]0.0222536[/C][/ROW]
[ROW][C]68[/C][C]0.973087[/C][C]0.0538253[/C][C]0.0269126[/C][/ROW]
[ROW][C]69[/C][C]0.96662[/C][C]0.0667591[/C][C]0.0333795[/C][/ROW]
[ROW][C]70[/C][C]0.964[/C][C]0.0719997[/C][C]0.0359999[/C][/ROW]
[ROW][C]71[/C][C]0.95809[/C][C]0.0838208[/C][C]0.0419104[/C][/ROW]
[ROW][C]72[/C][C]0.951938[/C][C]0.0961238[/C][C]0.0480619[/C][/ROW]
[ROW][C]73[/C][C]0.957291[/C][C]0.0854182[/C][C]0.0427091[/C][/ROW]
[ROW][C]74[/C][C]0.951196[/C][C]0.0976077[/C][C]0.0488039[/C][/ROW]
[ROW][C]75[/C][C]0.974889[/C][C]0.0502221[/C][C]0.025111[/C][/ROW]
[ROW][C]76[/C][C]0.970661[/C][C]0.058678[/C][C]0.029339[/C][/ROW]
[ROW][C]77[/C][C]0.96379[/C][C]0.0724197[/C][C]0.0362098[/C][/ROW]
[ROW][C]78[/C][C]0.960577[/C][C]0.0788457[/C][C]0.0394228[/C][/ROW]
[ROW][C]79[/C][C]0.952065[/C][C]0.0958696[/C][C]0.0479348[/C][/ROW]
[ROW][C]80[/C][C]0.943321[/C][C]0.113358[/C][C]0.0566789[/C][/ROW]
[ROW][C]81[/C][C]0.937002[/C][C]0.125995[/C][C]0.0629977[/C][/ROW]
[ROW][C]82[/C][C]0.925297[/C][C]0.149407[/C][C]0.0747033[/C][/ROW]
[ROW][C]83[/C][C]0.912135[/C][C]0.175731[/C][C]0.0878654[/C][/ROW]
[ROW][C]84[/C][C]0.905053[/C][C]0.189895[/C][C]0.0949473[/C][/ROW]
[ROW][C]85[/C][C]0.89048[/C][C]0.21904[/C][C]0.10952[/C][/ROW]
[ROW][C]86[/C][C]0.878436[/C][C]0.243128[/C][C]0.121564[/C][/ROW]
[ROW][C]87[/C][C]0.858976[/C][C]0.282049[/C][C]0.141024[/C][/ROW]
[ROW][C]88[/C][C]0.842394[/C][C]0.315212[/C][C]0.157606[/C][/ROW]
[ROW][C]89[/C][C]0.876159[/C][C]0.247682[/C][C]0.123841[/C][/ROW]
[ROW][C]90[/C][C]0.856989[/C][C]0.286022[/C][C]0.143011[/C][/ROW]
[ROW][C]91[/C][C]0.84541[/C][C]0.309179[/C][C]0.15459[/C][/ROW]
[ROW][C]92[/C][C]0.90532[/C][C]0.189361[/C][C]0.0946804[/C][/ROW]
[ROW][C]93[/C][C]0.89167[/C][C]0.216659[/C][C]0.10833[/C][/ROW]
[ROW][C]94[/C][C]0.917143[/C][C]0.165715[/C][C]0.0828574[/C][/ROW]
[ROW][C]95[/C][C]0.902755[/C][C]0.19449[/C][C]0.0972452[/C][/ROW]
[ROW][C]96[/C][C]0.886962[/C][C]0.226075[/C][C]0.113038[/C][/ROW]
[ROW][C]97[/C][C]0.871751[/C][C]0.256499[/C][C]0.128249[/C][/ROW]
[ROW][C]98[/C][C]0.856738[/C][C]0.286524[/C][C]0.143262[/C][/ROW]
[ROW][C]99[/C][C]0.841766[/C][C]0.316467[/C][C]0.158234[/C][/ROW]
[ROW][C]100[/C][C]0.821965[/C][C]0.356069[/C][C]0.178035[/C][/ROW]
[ROW][C]101[/C][C]0.816056[/C][C]0.367887[/C][C]0.183944[/C][/ROW]
[ROW][C]102[/C][C]0.791823[/C][C]0.416354[/C][C]0.208177[/C][/ROW]
[ROW][C]103[/C][C]0.771305[/C][C]0.457389[/C][C]0.228695[/C][/ROW]
[ROW][C]104[/C][C]0.779409[/C][C]0.441183[/C][C]0.220591[/C][/ROW]
[ROW][C]105[/C][C]0.801722[/C][C]0.396556[/C][C]0.198278[/C][/ROW]
[ROW][C]106[/C][C]0.809795[/C][C]0.38041[/C][C]0.190205[/C][/ROW]
[ROW][C]107[/C][C]0.787226[/C][C]0.425547[/C][C]0.212774[/C][/ROW]
[ROW][C]108[/C][C]0.78035[/C][C]0.4393[/C][C]0.21965[/C][/ROW]
[ROW][C]109[/C][C]0.754332[/C][C]0.491336[/C][C]0.245668[/C][/ROW]
[ROW][C]110[/C][C]0.748265[/C][C]0.503471[/C][C]0.251735[/C][/ROW]
[ROW][C]111[/C][C]0.724324[/C][C]0.551352[/C][C]0.275676[/C][/ROW]
[ROW][C]112[/C][C]0.700065[/C][C]0.599869[/C][C]0.299935[/C][/ROW]
[ROW][C]113[/C][C]0.669338[/C][C]0.661324[/C][C]0.330662[/C][/ROW]
[ROW][C]114[/C][C]0.661403[/C][C]0.677194[/C][C]0.338597[/C][/ROW]
[ROW][C]115[/C][C]0.651009[/C][C]0.697982[/C][C]0.348991[/C][/ROW]
[ROW][C]116[/C][C]0.63626[/C][C]0.727481[/C][C]0.36374[/C][/ROW]
[ROW][C]117[/C][C]0.613512[/C][C]0.772976[/C][C]0.386488[/C][/ROW]
[ROW][C]118[/C][C]0.673782[/C][C]0.652435[/C][C]0.326218[/C][/ROW]
[ROW][C]119[/C][C]0.649161[/C][C]0.701678[/C][C]0.350839[/C][/ROW]
[ROW][C]120[/C][C]0.626515[/C][C]0.746971[/C][C]0.373485[/C][/ROW]
[ROW][C]121[/C][C]0.599923[/C][C]0.800153[/C][C]0.400077[/C][/ROW]
[ROW][C]122[/C][C]0.573119[/C][C]0.853763[/C][C]0.426881[/C][/ROW]
[ROW][C]123[/C][C]0.662089[/C][C]0.675823[/C][C]0.337911[/C][/ROW]
[ROW][C]124[/C][C]0.632941[/C][C]0.734117[/C][C]0.367059[/C][/ROW]
[ROW][C]125[/C][C]0.693004[/C][C]0.613992[/C][C]0.306996[/C][/ROW]
[ROW][C]126[/C][C]0.665086[/C][C]0.669829[/C][C]0.334914[/C][/ROW]
[ROW][C]127[/C][C]0.740261[/C][C]0.519478[/C][C]0.259739[/C][/ROW]
[ROW][C]128[/C][C]0.717258[/C][C]0.565484[/C][C]0.282742[/C][/ROW]
[ROW][C]129[/C][C]0.785221[/C][C]0.429558[/C][C]0.214779[/C][/ROW]
[ROW][C]130[/C][C]0.760643[/C][C]0.478714[/C][C]0.239357[/C][/ROW]
[ROW][C]131[/C][C]0.762311[/C][C]0.475377[/C][C]0.237689[/C][/ROW]
[ROW][C]132[/C][C]0.745868[/C][C]0.508264[/C][C]0.254132[/C][/ROW]
[ROW][C]133[/C][C]0.723013[/C][C]0.553975[/C][C]0.276987[/C][/ROW]
[ROW][C]134[/C][C]0.727829[/C][C]0.544342[/C][C]0.272171[/C][/ROW]
[ROW][C]135[/C][C]0.724844[/C][C]0.550312[/C][C]0.275156[/C][/ROW]
[ROW][C]136[/C][C]0.835046[/C][C]0.329909[/C][C]0.164954[/C][/ROW]
[ROW][C]137[/C][C]0.814111[/C][C]0.371778[/C][C]0.185889[/C][/ROW]
[ROW][C]138[/C][C]0.80233[/C][C]0.395341[/C][C]0.19767[/C][/ROW]
[ROW][C]139[/C][C]0.861939[/C][C]0.276123[/C][C]0.138061[/C][/ROW]
[ROW][C]140[/C][C]0.842143[/C][C]0.315715[/C][C]0.157857[/C][/ROW]
[ROW][C]141[/C][C]0.821843[/C][C]0.356314[/C][C]0.178157[/C][/ROW]
[ROW][C]142[/C][C]0.862746[/C][C]0.274508[/C][C]0.137254[/C][/ROW]
[ROW][C]143[/C][C]0.89354[/C][C]0.212919[/C][C]0.10646[/C][/ROW]
[ROW][C]144[/C][C]0.878141[/C][C]0.243718[/C][C]0.121859[/C][/ROW]
[ROW][C]145[/C][C]0.869711[/C][C]0.260577[/C][C]0.130289[/C][/ROW]
[ROW][C]146[/C][C]0.85679[/C][C]0.28642[/C][C]0.14321[/C][/ROW]
[ROW][C]147[/C][C]0.83779[/C][C]0.324421[/C][C]0.16221[/C][/ROW]
[ROW][C]148[/C][C]0.816973[/C][C]0.366055[/C][C]0.183027[/C][/ROW]
[ROW][C]149[/C][C]0.800508[/C][C]0.398983[/C][C]0.199492[/C][/ROW]
[ROW][C]150[/C][C]0.784392[/C][C]0.431217[/C][C]0.215608[/C][/ROW]
[ROW][C]151[/C][C]0.766108[/C][C]0.467784[/C][C]0.233892[/C][/ROW]
[ROW][C]152[/C][C]0.779565[/C][C]0.440869[/C][C]0.220435[/C][/ROW]
[ROW][C]153[/C][C]0.79982[/C][C]0.40036[/C][C]0.20018[/C][/ROW]
[ROW][C]154[/C][C]0.779741[/C][C]0.440519[/C][C]0.220259[/C][/ROW]
[ROW][C]155[/C][C]0.790356[/C][C]0.419289[/C][C]0.209644[/C][/ROW]
[ROW][C]156[/C][C]0.766696[/C][C]0.466608[/C][C]0.233304[/C][/ROW]
[ROW][C]157[/C][C]0.755704[/C][C]0.488592[/C][C]0.244296[/C][/ROW]
[ROW][C]158[/C][C]0.736619[/C][C]0.526761[/C][C]0.263381[/C][/ROW]
[ROW][C]159[/C][C]0.718194[/C][C]0.563611[/C][C]0.281806[/C][/ROW]
[ROW][C]160[/C][C]0.699738[/C][C]0.600523[/C][C]0.300262[/C][/ROW]
[ROW][C]161[/C][C]0.700774[/C][C]0.598452[/C][C]0.299226[/C][/ROW]
[ROW][C]162[/C][C]0.689385[/C][C]0.621231[/C][C]0.310615[/C][/ROW]
[ROW][C]163[/C][C]0.663275[/C][C]0.673449[/C][C]0.336725[/C][/ROW]
[ROW][C]164[/C][C]0.632103[/C][C]0.735794[/C][C]0.367897[/C][/ROW]
[ROW][C]165[/C][C]0.600228[/C][C]0.799544[/C][C]0.399772[/C][/ROW]
[ROW][C]166[/C][C]0.63124[/C][C]0.73752[/C][C]0.36876[/C][/ROW]
[ROW][C]167[/C][C]0.6145[/C][C]0.771[/C][C]0.3855[/C][/ROW]
[ROW][C]168[/C][C]0.593906[/C][C]0.812187[/C][C]0.406094[/C][/ROW]
[ROW][C]169[/C][C]0.571405[/C][C]0.85719[/C][C]0.428595[/C][/ROW]
[ROW][C]170[/C][C]0.592289[/C][C]0.815422[/C][C]0.407711[/C][/ROW]
[ROW][C]171[/C][C]0.558137[/C][C]0.883726[/C][C]0.441863[/C][/ROW]
[ROW][C]172[/C][C]0.575284[/C][C]0.849432[/C][C]0.424716[/C][/ROW]
[ROW][C]173[/C][C]0.589847[/C][C]0.820306[/C][C]0.410153[/C][/ROW]
[ROW][C]174[/C][C]0.609427[/C][C]0.781145[/C][C]0.390573[/C][/ROW]
[ROW][C]175[/C][C]0.575344[/C][C]0.849311[/C][C]0.424656[/C][/ROW]
[ROW][C]176[/C][C]0.540402[/C][C]0.919197[/C][C]0.459598[/C][/ROW]
[ROW][C]177[/C][C]0.508002[/C][C]0.983995[/C][C]0.491998[/C][/ROW]
[ROW][C]178[/C][C]0.51323[/C][C]0.973539[/C][C]0.48677[/C][/ROW]
[ROW][C]179[/C][C]0.504554[/C][C]0.990893[/C][C]0.495446[/C][/ROW]
[ROW][C]180[/C][C]0.489421[/C][C]0.978841[/C][C]0.510579[/C][/ROW]
[ROW][C]181[/C][C]0.483935[/C][C]0.967869[/C][C]0.516065[/C][/ROW]
[ROW][C]182[/C][C]0.500886[/C][C]0.998227[/C][C]0.499114[/C][/ROW]
[ROW][C]183[/C][C]0.71046[/C][C]0.579079[/C][C]0.28954[/C][/ROW]
[ROW][C]184[/C][C]0.680338[/C][C]0.639324[/C][C]0.319662[/C][/ROW]
[ROW][C]185[/C][C]0.651816[/C][C]0.696367[/C][C]0.348184[/C][/ROW]
[ROW][C]186[/C][C]0.664244[/C][C]0.671512[/C][C]0.335756[/C][/ROW]
[ROW][C]187[/C][C]0.634842[/C][C]0.730316[/C][C]0.365158[/C][/ROW]
[ROW][C]188[/C][C]0.60019[/C][C]0.79962[/C][C]0.39981[/C][/ROW]
[ROW][C]189[/C][C]0.600036[/C][C]0.799929[/C][C]0.399964[/C][/ROW]
[ROW][C]190[/C][C]0.579182[/C][C]0.841635[/C][C]0.420818[/C][/ROW]
[ROW][C]191[/C][C]0.589184[/C][C]0.821633[/C][C]0.410816[/C][/ROW]
[ROW][C]192[/C][C]0.594861[/C][C]0.810277[/C][C]0.405139[/C][/ROW]
[ROW][C]193[/C][C]0.559834[/C][C]0.880331[/C][C]0.440166[/C][/ROW]
[ROW][C]194[/C][C]0.525422[/C][C]0.949156[/C][C]0.474578[/C][/ROW]
[ROW][C]195[/C][C]0.506614[/C][C]0.986772[/C][C]0.493386[/C][/ROW]
[ROW][C]196[/C][C]0.46915[/C][C]0.9383[/C][C]0.53085[/C][/ROW]
[ROW][C]197[/C][C]0.436623[/C][C]0.873246[/C][C]0.563377[/C][/ROW]
[ROW][C]198[/C][C]0.435462[/C][C]0.870923[/C][C]0.564538[/C][/ROW]
[ROW][C]199[/C][C]0.399643[/C][C]0.799286[/C][C]0.600357[/C][/ROW]
[ROW][C]200[/C][C]0.406129[/C][C]0.812258[/C][C]0.593871[/C][/ROW]
[ROW][C]201[/C][C]0.393969[/C][C]0.787938[/C][C]0.606031[/C][/ROW]
[ROW][C]202[/C][C]0.387794[/C][C]0.775588[/C][C]0.612206[/C][/ROW]
[ROW][C]203[/C][C]0.423982[/C][C]0.847964[/C][C]0.576018[/C][/ROW]
[ROW][C]204[/C][C]0.421912[/C][C]0.843823[/C][C]0.578088[/C][/ROW]
[ROW][C]205[/C][C]0.384365[/C][C]0.76873[/C][C]0.615635[/C][/ROW]
[ROW][C]206[/C][C]0.40945[/C][C]0.8189[/C][C]0.59055[/C][/ROW]
[ROW][C]207[/C][C]0.408289[/C][C]0.816578[/C][C]0.591711[/C][/ROW]
[ROW][C]208[/C][C]0.408408[/C][C]0.816817[/C][C]0.591592[/C][/ROW]
[ROW][C]209[/C][C]0.417129[/C][C]0.834259[/C][C]0.582871[/C][/ROW]
[ROW][C]210[/C][C]0.735464[/C][C]0.529072[/C][C]0.264536[/C][/ROW]
[ROW][C]211[/C][C]0.739527[/C][C]0.520946[/C][C]0.260473[/C][/ROW]
[ROW][C]212[/C][C]0.712456[/C][C]0.575087[/C][C]0.287544[/C][/ROW]
[ROW][C]213[/C][C]0.676646[/C][C]0.646707[/C][C]0.323354[/C][/ROW]
[ROW][C]214[/C][C]0.674159[/C][C]0.651682[/C][C]0.325841[/C][/ROW]
[ROW][C]215[/C][C]0.651525[/C][C]0.69695[/C][C]0.348475[/C][/ROW]
[ROW][C]216[/C][C]0.624557[/C][C]0.750885[/C][C]0.375443[/C][/ROW]
[ROW][C]217[/C][C]0.589791[/C][C]0.820418[/C][C]0.410209[/C][/ROW]
[ROW][C]218[/C][C]0.54848[/C][C]0.90304[/C][C]0.45152[/C][/ROW]
[ROW][C]219[/C][C]0.533865[/C][C]0.93227[/C][C]0.466135[/C][/ROW]
[ROW][C]220[/C][C]0.504788[/C][C]0.990424[/C][C]0.495212[/C][/ROW]
[ROW][C]221[/C][C]0.474112[/C][C]0.948225[/C][C]0.525888[/C][/ROW]
[ROW][C]222[/C][C]0.432053[/C][C]0.864106[/C][C]0.567947[/C][/ROW]
[ROW][C]223[/C][C]0.45676[/C][C]0.91352[/C][C]0.54324[/C][/ROW]
[ROW][C]224[/C][C]0.414654[/C][C]0.829308[/C][C]0.585346[/C][/ROW]
[ROW][C]225[/C][C]0.385178[/C][C]0.770356[/C][C]0.614822[/C][/ROW]
[ROW][C]226[/C][C]0.360123[/C][C]0.720246[/C][C]0.639877[/C][/ROW]
[ROW][C]227[/C][C]0.373408[/C][C]0.746816[/C][C]0.626592[/C][/ROW]
[ROW][C]228[/C][C]0.437292[/C][C]0.874584[/C][C]0.562708[/C][/ROW]
[ROW][C]229[/C][C]0.398238[/C][C]0.796475[/C][C]0.601762[/C][/ROW]
[ROW][C]230[/C][C]0.427886[/C][C]0.855771[/C][C]0.572114[/C][/ROW]
[ROW][C]231[/C][C]0.398903[/C][C]0.797806[/C][C]0.601097[/C][/ROW]
[ROW][C]232[/C][C]0.410003[/C][C]0.820006[/C][C]0.589997[/C][/ROW]
[ROW][C]233[/C][C]0.399666[/C][C]0.799332[/C][C]0.600334[/C][/ROW]
[ROW][C]234[/C][C]0.386751[/C][C]0.773503[/C][C]0.613249[/C][/ROW]
[ROW][C]235[/C][C]0.411077[/C][C]0.822154[/C][C]0.588923[/C][/ROW]
[ROW][C]236[/C][C]0.531842[/C][C]0.936316[/C][C]0.468158[/C][/ROW]
[ROW][C]237[/C][C]0.484967[/C][C]0.969935[/C][C]0.515033[/C][/ROW]
[ROW][C]238[/C][C]0.557622[/C][C]0.884756[/C][C]0.442378[/C][/ROW]
[ROW][C]239[/C][C]0.51894[/C][C]0.96212[/C][C]0.48106[/C][/ROW]
[ROW][C]240[/C][C]0.471096[/C][C]0.942192[/C][C]0.528904[/C][/ROW]
[ROW][C]241[/C][C]0.483791[/C][C]0.967582[/C][C]0.516209[/C][/ROW]
[ROW][C]242[/C][C]0.486359[/C][C]0.972718[/C][C]0.513641[/C][/ROW]
[ROW][C]243[/C][C]0.594618[/C][C]0.810764[/C][C]0.405382[/C][/ROW]
[ROW][C]244[/C][C]0.549854[/C][C]0.900293[/C][C]0.450146[/C][/ROW]
[ROW][C]245[/C][C]0.594284[/C][C]0.811432[/C][C]0.405716[/C][/ROW]
[ROW][C]246[/C][C]0.587366[/C][C]0.825268[/C][C]0.412634[/C][/ROW]
[ROW][C]247[/C][C]0.539472[/C][C]0.921055[/C][C]0.460528[/C][/ROW]
[ROW][C]248[/C][C]0.501217[/C][C]0.997566[/C][C]0.498783[/C][/ROW]
[ROW][C]249[/C][C]0.536926[/C][C]0.926148[/C][C]0.463074[/C][/ROW]
[ROW][C]250[/C][C]0.479082[/C][C]0.958163[/C][C]0.520918[/C][/ROW]
[ROW][C]251[/C][C]0.42107[/C][C]0.842139[/C][C]0.57893[/C][/ROW]
[ROW][C]252[/C][C]0.462693[/C][C]0.925386[/C][C]0.537307[/C][/ROW]
[ROW][C]253[/C][C]0.455978[/C][C]0.911957[/C][C]0.544022[/C][/ROW]
[ROW][C]254[/C][C]0.44721[/C][C]0.894421[/C][C]0.55279[/C][/ROW]
[ROW][C]255[/C][C]0.489174[/C][C]0.978347[/C][C]0.510826[/C][/ROW]
[ROW][C]256[/C][C]0.432329[/C][C]0.864657[/C][C]0.567671[/C][/ROW]
[ROW][C]257[/C][C]0.383141[/C][C]0.766282[/C][C]0.616859[/C][/ROW]
[ROW][C]258[/C][C]0.511959[/C][C]0.976082[/C][C]0.488041[/C][/ROW]
[ROW][C]259[/C][C]0.662412[/C][C]0.675176[/C][C]0.337588[/C][/ROW]
[ROW][C]260[/C][C]0.603005[/C][C]0.79399[/C][C]0.396995[/C][/ROW]
[ROW][C]261[/C][C]0.540519[/C][C]0.918963[/C][C]0.459481[/C][/ROW]
[ROW][C]262[/C][C]0.512797[/C][C]0.974405[/C][C]0.487203[/C][/ROW]
[ROW][C]263[/C][C]0.441056[/C][C]0.882112[/C][C]0.558944[/C][/ROW]
[ROW][C]264[/C][C]0.370829[/C][C]0.741657[/C][C]0.629171[/C][/ROW]
[ROW][C]265[/C][C]0.294038[/C][C]0.588077[/C][C]0.705962[/C][/ROW]
[ROW][C]266[/C][C]0.285118[/C][C]0.570237[/C][C]0.714882[/C][/ROW]
[ROW][C]267[/C][C]0.292359[/C][C]0.584717[/C][C]0.707641[/C][/ROW]
[ROW][C]268[/C][C]0.290563[/C][C]0.581125[/C][C]0.709437[/C][/ROW]
[ROW][C]269[/C][C]0.214255[/C][C]0.42851[/C][C]0.785745[/C][/ROW]
[ROW][C]270[/C][C]0.1656[/C][C]0.3312[/C][C]0.8344[/C][/ROW]
[ROW][C]271[/C][C]0.119919[/C][C]0.239838[/C][C]0.880081[/C][/ROW]
[ROW][C]272[/C][C]0.132475[/C][C]0.264949[/C][C]0.867525[/C][/ROW]
[ROW][C]273[/C][C]0.138172[/C][C]0.276344[/C][C]0.861828[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=263816&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=263816&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
60.5055940.9888120.494406
70.6203440.7593130.379656
80.5317720.9364550.468228
90.7378340.5243320.262166
100.6588090.6823820.341191
110.5939660.8120680.406034
120.5559910.8880190.444009
130.464320.9286410.53568
140.5304510.9390980.469549
150.8238610.3522790.176139
160.7806380.4387230.219362
170.8328550.3342890.167145
180.7820330.4359340.217967
190.8073170.3853650.192683
200.7615260.4769480.238474
210.8341780.3316440.165822
220.8126450.374710.187355
230.7662360.4675280.233764
240.7204620.5590760.279538
250.824250.35150.17575
260.7821980.4356050.217802
270.852310.2953790.14769
280.8264670.3470650.173533
290.7932380.4135240.206762
300.7811090.4377830.218891
310.7557130.4885730.244287
320.7103890.5792210.289611
330.6701160.6597670.329884
340.7733270.4533460.226673
350.738640.5227210.26136
360.8585050.282990.141495
370.9579560.08408720.0420436
380.9558490.08830160.0441508
390.9433580.1132840.0566418
400.971940.056120.02806
410.9673230.06535330.0326767
420.9585140.08297220.0414861
430.9790480.04190340.0209517
440.9772490.04550230.0227511
450.9716040.05679220.0283961
460.9886820.02263610.0113181
470.9863140.02737230.0136861
480.983130.0337390.0168695
490.9850320.02993580.0149679
500.9806670.03866580.0193329
510.9751080.0497840.024892
520.9819970.03600570.0180029
530.9790990.04180110.0209006
540.9781750.04365090.0218254
550.9818670.03626670.0181334
560.9782070.04358510.0217926
570.9873320.02533630.0126681
580.9900980.0198030.00990151
590.9871840.02563150.0128157
600.9848540.03029120.0151456
610.9805450.038910.019455
620.9757690.04846130.0242307
630.9791110.04177710.0208885
640.9761660.04766860.0238343
650.9839020.0321960.016098
660.9815980.03680330.0184017
670.9777460.04450730.0222536
680.9730870.05382530.0269126
690.966620.06675910.0333795
700.9640.07199970.0359999
710.958090.08382080.0419104
720.9519380.09612380.0480619
730.9572910.08541820.0427091
740.9511960.09760770.0488039
750.9748890.05022210.025111
760.9706610.0586780.029339
770.963790.07241970.0362098
780.9605770.07884570.0394228
790.9520650.09586960.0479348
800.9433210.1133580.0566789
810.9370020.1259950.0629977
820.9252970.1494070.0747033
830.9121350.1757310.0878654
840.9050530.1898950.0949473
850.890480.219040.10952
860.8784360.2431280.121564
870.8589760.2820490.141024
880.8423940.3152120.157606
890.8761590.2476820.123841
900.8569890.2860220.143011
910.845410.3091790.15459
920.905320.1893610.0946804
930.891670.2166590.10833
940.9171430.1657150.0828574
950.9027550.194490.0972452
960.8869620.2260750.113038
970.8717510.2564990.128249
980.8567380.2865240.143262
990.8417660.3164670.158234
1000.8219650.3560690.178035
1010.8160560.3678870.183944
1020.7918230.4163540.208177
1030.7713050.4573890.228695
1040.7794090.4411830.220591
1050.8017220.3965560.198278
1060.8097950.380410.190205
1070.7872260.4255470.212774
1080.780350.43930.21965
1090.7543320.4913360.245668
1100.7482650.5034710.251735
1110.7243240.5513520.275676
1120.7000650.5998690.299935
1130.6693380.6613240.330662
1140.6614030.6771940.338597
1150.6510090.6979820.348991
1160.636260.7274810.36374
1170.6135120.7729760.386488
1180.6737820.6524350.326218
1190.6491610.7016780.350839
1200.6265150.7469710.373485
1210.5999230.8001530.400077
1220.5731190.8537630.426881
1230.6620890.6758230.337911
1240.6329410.7341170.367059
1250.6930040.6139920.306996
1260.6650860.6698290.334914
1270.7402610.5194780.259739
1280.7172580.5654840.282742
1290.7852210.4295580.214779
1300.7606430.4787140.239357
1310.7623110.4753770.237689
1320.7458680.5082640.254132
1330.7230130.5539750.276987
1340.7278290.5443420.272171
1350.7248440.5503120.275156
1360.8350460.3299090.164954
1370.8141110.3717780.185889
1380.802330.3953410.19767
1390.8619390.2761230.138061
1400.8421430.3157150.157857
1410.8218430.3563140.178157
1420.8627460.2745080.137254
1430.893540.2129190.10646
1440.8781410.2437180.121859
1450.8697110.2605770.130289
1460.856790.286420.14321
1470.837790.3244210.16221
1480.8169730.3660550.183027
1490.8005080.3989830.199492
1500.7843920.4312170.215608
1510.7661080.4677840.233892
1520.7795650.4408690.220435
1530.799820.400360.20018
1540.7797410.4405190.220259
1550.7903560.4192890.209644
1560.7666960.4666080.233304
1570.7557040.4885920.244296
1580.7366190.5267610.263381
1590.7181940.5636110.281806
1600.6997380.6005230.300262
1610.7007740.5984520.299226
1620.6893850.6212310.310615
1630.6632750.6734490.336725
1640.6321030.7357940.367897
1650.6002280.7995440.399772
1660.631240.737520.36876
1670.61450.7710.3855
1680.5939060.8121870.406094
1690.5714050.857190.428595
1700.5922890.8154220.407711
1710.5581370.8837260.441863
1720.5752840.8494320.424716
1730.5898470.8203060.410153
1740.6094270.7811450.390573
1750.5753440.8493110.424656
1760.5404020.9191970.459598
1770.5080020.9839950.491998
1780.513230.9735390.48677
1790.5045540.9908930.495446
1800.4894210.9788410.510579
1810.4839350.9678690.516065
1820.5008860.9982270.499114
1830.710460.5790790.28954
1840.6803380.6393240.319662
1850.6518160.6963670.348184
1860.6642440.6715120.335756
1870.6348420.7303160.365158
1880.600190.799620.39981
1890.6000360.7999290.399964
1900.5791820.8416350.420818
1910.5891840.8216330.410816
1920.5948610.8102770.405139
1930.5598340.8803310.440166
1940.5254220.9491560.474578
1950.5066140.9867720.493386
1960.469150.93830.53085
1970.4366230.8732460.563377
1980.4354620.8709230.564538
1990.3996430.7992860.600357
2000.4061290.8122580.593871
2010.3939690.7879380.606031
2020.3877940.7755880.612206
2030.4239820.8479640.576018
2040.4219120.8438230.578088
2050.3843650.768730.615635
2060.409450.81890.59055
2070.4082890.8165780.591711
2080.4084080.8168170.591592
2090.4171290.8342590.582871
2100.7354640.5290720.264536
2110.7395270.5209460.260473
2120.7124560.5750870.287544
2130.6766460.6467070.323354
2140.6741590.6516820.325841
2150.6515250.696950.348475
2160.6245570.7508850.375443
2170.5897910.8204180.410209
2180.548480.903040.45152
2190.5338650.932270.466135
2200.5047880.9904240.495212
2210.4741120.9482250.525888
2220.4320530.8641060.567947
2230.456760.913520.54324
2240.4146540.8293080.585346
2250.3851780.7703560.614822
2260.3601230.7202460.639877
2270.3734080.7468160.626592
2280.4372920.8745840.562708
2290.3982380.7964750.601762
2300.4278860.8557710.572114
2310.3989030.7978060.601097
2320.4100030.8200060.589997
2330.3996660.7993320.600334
2340.3867510.7735030.613249
2350.4110770.8221540.588923
2360.5318420.9363160.468158
2370.4849670.9699350.515033
2380.5576220.8847560.442378
2390.518940.962120.48106
2400.4710960.9421920.528904
2410.4837910.9675820.516209
2420.4863590.9727180.513641
2430.5946180.8107640.405382
2440.5498540.9002930.450146
2450.5942840.8114320.405716
2460.5873660.8252680.412634
2470.5394720.9210550.460528
2480.5012170.9975660.498783
2490.5369260.9261480.463074
2500.4790820.9581630.520918
2510.421070.8421390.57893
2520.4626930.9253860.537307
2530.4559780.9119570.544022
2540.447210.8944210.55279
2550.4891740.9783470.510826
2560.4323290.8646570.567671
2570.3831410.7662820.616859
2580.5119590.9760820.488041
2590.6624120.6751760.337588
2600.6030050.793990.396995
2610.5405190.9189630.459481
2620.5127970.9744050.487203
2630.4410560.8821120.558944
2640.3708290.7416570.629171
2650.2940380.5880770.705962
2660.2851180.5702370.714882
2670.2923590.5847170.707641
2680.2905630.5811250.709437
2690.2142550.428510.785745
2700.16560.33120.8344
2710.1199190.2398380.880081
2720.1324750.2649490.867525
2730.1381720.2763440.861828






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level240.0895522NOK
10% type I error level420.156716NOK

\begin{tabular}{lllllllll}
\hline
Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
Description & # significant tests & % significant tests & OK/NOK \tabularnewline
1% type I error level & 0 & 0 & OK \tabularnewline
5% type I error level & 24 & 0.0895522 & NOK \tabularnewline
10% type I error level & 42 & 0.156716 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=263816&T=6

[TABLE]
[ROW][C]Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity[/C][/ROW]
[ROW][C]Description[/C][C]# significant tests[/C][C]% significant tests[/C][C]OK/NOK[/C][/ROW]
[ROW][C]1% type I error level[/C][C]0[/C][C]0[/C][C]OK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]24[/C][C]0.0895522[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]42[/C][C]0.156716[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=263816&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=263816&T=6

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


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

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level240.0895522NOK
10% type I error level420.156716NOK


Figures (Output of Computation)

Figure 1
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Figure 2
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Figure 3
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Figure 4
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Figure 5
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Figure 6
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Figure 7
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Figure 8
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Figure 9
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Figure 10
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Input Parameters & R Code

Parameters (Session):
par1 = 1 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;
Parameters (R input):
par1 = 1 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;
R code (references can be found in the software module):
par3 <- 'No Linear Trend'
par2 <- 'Do not include Seasonal Dummies'
par1 <- '1'
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')
}