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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 computationThu, 18 Dec 2014 14:40:29 +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/18/t1418915326ibkoj7hdz1is0dj.htm/, Retrieved Fri, 17 May 2024 13:54:37 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=271043, Retrieved Fri, 17 May 2024 13:54:37 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact70

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Multiple Regression] [] [2014-12-18 14:40:29] [6341ece6c012999a305a5ce37b6a24ca] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
1	149	86	12.9
1	139	70	12.2
1	148	71	12.8
1	158	108	7.4
1	128	64	6.7
1	224	119	12.6
1	159	97	14.8
1	105	129	13.3
1	159	153	11.1
1	167	78	8.2
1	165	80	11.4
1	159	99	6.4
1	119	68	10.6
1	176	147	12
1	54	40	6.3
0	91	57	11.3
1	163	120	11.9
1	124	71	9.3
0	137	84	9.6
1	121	68	10
1	153	55	6.4
1	148	137	13.8
1	221	79	10.8
1	188	116	13.8
1	149	101	11.7
1	244	111	10.9
0	148	189	16.1
0	92	66	13.4
1	150	81	9.9
1	153	63	11.5
1	94	69	8.3
1	156	71	11.7
1	132	64	9
1	161	143	9.7
1	105	85	10.8
1	97	86	10.3
1	151	55	10.4
0	131	69	12.7
1	166	120	9.3
1	157	96	11.8
1	111	60	5.9
1	145	95	11.4
1	162	100	13
1	163	68	10.8
0	59	57	12.3
1	187	105	11.3
1	109	85	11.8
0	90	103	7.9
1	105	57	12.7
0	83	51	12.3
0	116	69	11.6
0	42	41	6.7
1	148	49	10.9
0	155	50	12.1
1	125	93	13.3
1	116	58	10.1
0	128	54	5.7
1	138	74	14.3
0	49	15	8
0	96	69	13.3
1	164	107	9.3
1	162	65	12.5
1	99	58	7.6
1	202	107	15.9
1	186	70	9.2
0	66	53	9.1
1	183	136	11.1
1	214	126	13
1	188	95	14.5
0	104	69	12.2
1	177	136	12.3
1	126	58	11.4
0	76	59	8.8
0	99	118	14.6
1	139	82	12.6
1	162	102	13
0	108	65	12.6
1	159	90	13.2
0	74	64	9.9
1	110	83	7.7
0	96	70	10.5
0	116	50	13.4
0	87	77	10.9
0	97	37	4.3
0	127	81	10.3
0	106	101	11.8
0	80	79	11.2
0	74	71	11.4
0	91	60	8.6
0	133	55	13.2
0	74	44	12.6
0	114	40	5.6
0	140	56	9.9
0	95	43	8.8
0	98	45	7.7
0	121	32	9
0	126	56	7.3
0	98	40	11.4
0	95	34	13.6
0	110	89	7.9
0	70	50	10.7
0	102	56	10.3
0	86	46	8.3
0	130	76	9.6
0	96	64	14.2
0	102	74	8.5
0	100	57	13.5
0	94	45	4.9
0	52	30	6.4
0	98	62	9.6
0	118	51	11.6
0	99	36	11.1
1	48	34	4.35
1	50	61	12.7
1	150	70	18.1
1	154	69	17.85
0	109	145	16.6
0	68	23	12.6
1	194	120	17.1
1	158	147	19.1
1	159	215	16.1
1	67	24	13.35
1	147	84	18.4
1	39	30	14.7
1	100	77	10.6
1	111	46	12.6
1	138	61	16.2
1	101	178	13.6
0	131	160	18.9
1	101	57	14.1
1	114	42	14.5
1	165	163	16.15
1	114	75	14.75
1	111	94	14.8
1	75	45	12.45
1	82	78	12.65
1	121	47	17.35
1	32	29	8.6
1	150	97	18.4
1	117	116	16.1
0	71	32	11.6
1	165	50	17.75
1	154	118	15.25
1	126	66	17.65
1	149	86	16.35
1	145	89	17.65
1	120	76	13.6
1	109	75	14.35
1	132	57	14.75
1	172	72	18.25
1	169	60	9.9
1	114	109	16
1	156	76	18.25
1	172	65	16.85
0	68	40	14.6
0	89	58	13.85
1	167	123	18.95
1	113	71	15.6
0	115	102	14.85
0	78	80	11.75
0	118	97	18.45
0	87	46	15.9
1	173	93	17.1
1	2	19	16.1
0	162	140	19.9
0	49	78	10.95
0	122	98	18.45
0	96	40	15.1
0	100	80	15
0	82	76	11.35
0	100	79	15.95
0	115	87	18.1
0	141	95	14.6
1	165	49	15.4
1	165	49	15.4
0	110	80	17.6
1	118	86	13.35
1	158	69	19.1
0	146	79	15.35
1	49	52	7.6
0	90	120	13.4
0	121	69	13.9
1	155	94	19.1
0	104	72	15.25
0	147	43	12.9
0	110	87	16.1
0	108	52	17.35
0	113	71	13.15
0	115	61	12.15
0	61	51	12.6
0	60	50	10.35
0	109	67	15.4
0	68	30	9.6
0	111	70	18.2
0	77	52	13.6
0	73	75	14.85
1	151	87	14.75
0	89	69	14.1
0	78	72	14.9
0	110	79	16.25
1	220	121	19.25
0	65	43	13.6
1	141	58	13.6
0	117	57	15.65
1	122	50	12.75
0	63	69	14.6
1	44	64	9.85
0	52	38	12.65
0	131	90	19.2
0	101	96	16.6
0	42	49	11.2
1	152	56	15.25
1	107	102	11.9
0	77	40	13.2
1	154	100	16.35
1	103	67	12.4
0	96	78	15.85
1	175	55	18.15
0	57	59	11.15
0	112	96	15.65
1	143	86	17.75
0	49	38	7.65
1	110	43	12.35
1	131	23	15.6
1	167	77	19.3
0	56	48	15.2
1	137	26	17.1
0	86	91	15.6
1	121	94	18.4
1	149	62	19.05
1	168	74	18.55
1	140	114	19.1
0	88	52	13.1
1	168	64	12.85
1	94	31	9.5
1	51	38	4.5
0	48	27	11.85
1	145	105	13.6
1	66	64	11.7
0	85	62	12.4
1	109	65	13.35
0	63	58	11.4
0	102	76	14.9
0	162	140	19.9
0	86	68	11.2
0	114	80	14.6
1	164	71	17.6
1	119	76	14.05
1	126	63	16.1
1	132	46	13.35
1	142	53	11.85
1	83	74	11.95
0	94	70	14.75
0	81	78	15.15
1	166	56	13.2
0	110	100	16.85
0	64	51	7.85
1	93	52	7.7
0	104	102	12.6
0	105	78	7.85
0	49	78	10.95
0	88	55	12.35
0	95	98	9.95
0	102	76	14.9
0	99	73	16.65
0	63	47	13.4
0	76	45	13.95
0	109	83	15.7
0	117	60	16.85
0	57	48	10.95
0	120	50	15.35
0	73	56	12.2
0	91	77	15.1
0	108	91	17.75
0	105	76	15.2
1	117	68	14.6
0	119	74	16.65
0	31	29	8.1

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time8 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 8 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=271043&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]8 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=271043&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=271043&T=0

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


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time8 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net






Multiple Linear Regression - Estimated Regression Equation
Studierichting[t] = -0.0922183 + 0.00714394LFM[t] -0.000850591H[t] -0.0127649TOT[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
Studierichting[t] =  -0.0922183 +  0.00714394LFM[t] -0.000850591H[t] -0.0127649TOT[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=271043&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]Studierichting[t] =  -0.0922183 +  0.00714394LFM[t] -0.000850591H[t] -0.0127649TOT[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=271043&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=271043&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
Studierichting[t] = -0.0922183 + 0.00714394LFM[t] -0.000850591H[t] -0.0127649TOT[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)-0.09221830.113059-0.81570.4153990.207699
LFM0.007143940.0007654439.3333.65156e-181.82578e-18
H-0.0008505910.00101049-0.84180.4006570.200328
TOT-0.01276490.00811345-1.5730.1168040.0584018

\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) & -0.0922183 & 0.113059 & -0.8157 & 0.415399 & 0.207699 \tabularnewline
LFM & 0.00714394 & 0.000765443 & 9.333 & 3.65156e-18 & 1.82578e-18 \tabularnewline
H & -0.000850591 & 0.00101049 & -0.8418 & 0.400657 & 0.200328 \tabularnewline
TOT & -0.0127649 & 0.00811345 & -1.573 & 0.116804 & 0.0584018 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=271043&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]-0.0922183[/C][C]0.113059[/C][C]-0.8157[/C][C]0.415399[/C][C]0.207699[/C][/ROW]
[ROW][C]LFM[/C][C]0.00714394[/C][C]0.000765443[/C][C]9.333[/C][C]3.65156e-18[/C][C]1.82578e-18[/C][/ROW]
[ROW][C]H[/C][C]-0.000850591[/C][C]0.00101049[/C][C]-0.8418[/C][C]0.400657[/C][C]0.200328[/C][/ROW]
[ROW][C]TOT[/C][C]-0.0127649[/C][C]0.00811345[/C][C]-1.573[/C][C]0.116804[/C][C]0.0584018[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=271043&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=271043&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)-0.09221830.113059-0.81570.4153990.207699
LFM0.007143940.0007654439.3333.65156e-181.82578e-18
H-0.0008505910.00101049-0.84180.4006570.200328
TOT-0.01276490.00811345-1.5730.1168040.0584018






Multiple Linear Regression - Regression Statistics
Multiple R0.52532
R-squared0.275961
Adjusted R-squared0.268033
F-TEST (value)34.8108
F-TEST (DF numerator)3
F-TEST (DF denominator)274
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.428447
Sum Squared Residuals50.2973

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.52532 \tabularnewline
R-squared & 0.275961 \tabularnewline
Adjusted R-squared & 0.268033 \tabularnewline
F-TEST (value) & 34.8108 \tabularnewline
F-TEST (DF numerator) & 3 \tabularnewline
F-TEST (DF denominator) & 274 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 0.428447 \tabularnewline
Sum Squared Residuals & 50.2973 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=271043&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.52532[/C][/ROW]
[ROW][C]R-squared[/C][C]0.275961[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.268033[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]34.8108[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]3[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]274[/C][/ROW]
[ROW][C]p-value[/C][C]0[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]0.428447[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]50.2973[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=271043&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=271043&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 R0.52532
R-squared0.275961
Adjusted R-squared0.268033
F-TEST (value)34.8108
F-TEST (DF numerator)3
F-TEST (DF denominator)274
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.428447
Sum Squared Residuals50.2973






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
110.734410.26559
210.6855160.314484
310.7413020.258698
410.85020.1498
510.6822430.317757
611.24597-0.245966
710.772240.22776
810.3783960.621604
910.7718370.228163
1010.9298010.0701991
1110.8729640.127036
1210.8777640.122236
1310.5647620.435238
1410.8868990.113101
1510.1791120.820888
1600.365153-0.365153
1710.818270.18173
1810.6145240.385476
1900.692508-0.692508
2010.5867090.413291
2110.8723260.127674
2210.6723980.327602
2311.28153-0.281534
2410.9760180.0239823
2510.7369690.263031
2611.41735-0.417349
2700.598808-0.598808
2800.337835-0.337835
2910.7841020.215898
3010.8004210.199579
3110.4146720.585328
3210.8124950.187505
3310.6814590.318541
3410.8125020.187498
3510.4477340.552266
3610.3961140.603886
3710.8069790.193021
3800.622833-0.622833
3910.8728910.127109
4010.7970970.202903
4110.574410.42559
4210.7173270.282673
4310.8140970.185903
4410.8765420.123458
4500.123782-0.123782
4611.01014-0.0101425
4710.4635450.536455
4800.362282-0.362282
4910.4472970.552703
5000.30034-0.30034
5100.529715-0.529715
5200.087428-0.087428
5310.7842680.215732
5400.818107-0.818107
5510.5518960.448104
5610.5582190.441781
5700.703514-0.703514
5810.6481630.351837
5900.142957-0.142957
6000.365136-0.365136
6110.8696610.130339
6210.850250.14975
6310.4686840.531316
6411.05688-0.0568819
6511.05958-0.0595755
6600.21804-0.21804
6710.9577510.0422486
6811.16347-0.163466
6910.9849450.0150553
7000.436329-0.436329
7110.899570.10043
7210.6130640.386936
7300.288205-0.288205
7400.328294-0.328294
7510.6702030.329797
7610.8123960.187604
7700.463201-0.463201
7810.7986180.201382
7900.255623-0.255623
8010.5247260.475274
8100.400027-0.400027
8200.522899-0.522899
8300.324671-0.324671
8400.514383-0.514383
8500.614685-0.614685
8600.428504-0.428504
8700.269133-0.269133
8800.230521-0.230521
8900.397066-0.397066
9000.642646-0.642646
9100.238169-0.238169
9200.616683-0.616683
9300.733927-0.733927
9400.437549-0.437549
9500.471321-0.471321
9600.630095-0.630095
9700.667101-0.667101
9800.428344-0.428344
9900.383933-0.383933
10000.517069-0.517069
10100.228743-0.228743
10200.457352-0.457352
10300.377084-0.377084
10400.649306-0.649306
10500.3579-0.3579
10600.465018-0.465018
10700.401366-0.401366
10800.478487-0.478487
10900.172053-0.172053
11000.432608-0.432608
11100.559313-0.559313
11200.44272-0.44272
11310.1662430.833757
11410.05097840.949022
11510.6887860.311214
11610.7214040.278596
11700.351238-0.351238
11800.213168-0.213168
11910.9733550.0266451
12010.6676770.332323
12110.6552760.344724
12210.19560.8044
12310.6516170.348383
1241-0.02676631.02677
12510.4213720.578628
12610.5007940.499206
12710.6349680.365032
12810.3043120.695688
12900.466286-0.466286
13010.4008510.599149
13110.5013750.498625
13210.7417320.258268
13310.4701140.529886
13410.4318830.568117
13510.2463770.753623
13610.2657630.734237
13710.5107490.489251
13810.001942490.998058
13910.6619910.338009
14010.4394390.560561
14100.23971-0.23971
14210.8174250.182575
14310.7129140.287086
14410.5264780.473522
14510.6903710.309629
14610.642650.35735
14710.5268070.473193
14810.43950.5605
14910.6140160.385984
15010.8423370.157663
15110.9376990.0623009
15210.4252380.574762
15310.7246320.275368
15410.8661620.133838
15500.173178-0.173178
15600.317464-0.317464
15710.7543020.245698
15810.4555220.544478
15900.453016-0.453016
16000.246974-0.246974
16100.432747-0.432747
16200.287215-0.287215
16310.8462980.153702
1641-0.2996061.29961
16500.691995-0.691995
16600.051713-0.051713
16700.460472-0.460472
16800.366826-0.366826
16900.362655-0.362655
17000.284058-0.284058
17100.351379-0.351379
17200.424289-0.424289
17300.647903-0.647903
17410.8482730.151727
17510.8482730.151727
17600.400905-0.400905
17710.5072040.492796
17810.7340240.265976
17900.687659-0.687659
18010.1165910.883409
18100.277616-0.277616
18200.536075-0.536075
18310.6913270.308673
18400.394844-0.394844
18500.756698-0.756698
18600.414099-0.414099
18700.413625-0.413625
18800.486796-0.486796
18900.522355-0.522355
19000.139344-0.139344
19100.161772-0.161772
19200.432902-0.432902
19300.245509-0.245509
19400.408896-0.408896
19500.240032-0.240032
19600.175936-0.175936
19710.7242330.275767
19800.304916-0.304916
19900.213569-0.213569
20000.418989-0.418989
20111.1308-0.130802
20200.16196-0.16196
20310.692140.30786
20400.495368-0.495368
20510.574060.42594
20600.112792-0.112792
20710.04194290.958057
20800.0854681-0.0854681
20900.521998-0.521998
21000.335765-0.335765
21100.0231813-0.0231813
21210.7513620.248638
21310.433520.56648
21400.255345-0.255345
21510.7141830.285817
21610.4283330.571667
21700.32493-0.32493
21810.8795050.120495
21900.122473-0.122473
22000.426475-0.426475
22110.6296370.370363
22200.127861-0.127861
22310.4993930.500607
22410.6249420.375058
22510.7889610.211039
22600.0729875-0.0729875
22710.6461060.353894
22800.245624-0.245624
22910.4573690.542631
23010.676320.32368
23110.8082310.191769
23210.5671560.432844
23300.324997-0.324997
23410.8894960.110504
23510.4316770.568323
23610.1823580.817642
23700.0764608-0.0764608
23810.6807380.319262
23910.1754950.824505
24000.303995-0.303995
24110.4607710.539229
24200.162996-0.162996
24300.381621-0.381621
24400.691995-0.691995
24500.321353-0.321353
24600.467776-0.467776
24710.7943330.205667
24810.5139190.486081
24910.5488160.451184
25010.6412430.358757
25110.7258750.274125
25210.2852440.714756
25300.331488-0.331488
25400.226706-0.226706
25510.8775460.122454
25600.393467-0.393467
25700.221409-0.221409
25810.4296470.570353
25900.403153-0.403153
26000.491345-0.491345
26100.051713-0.051713
26200.332019-0.332019
26300.376087-0.376087
26400.381621-0.381621
26500.340403-0.340403
26600.146822-0.146822
26700.234374-0.234374
26800.415463-0.415463
26900.477498-0.477498
27000.134382-0.134382
27100.526584-0.526584
27200.225924-0.225924
27300.299635-0.299635
27400.375346-0.375346
27500.399224-0.399224
27610.4994150.500585
27700.482431-0.482431
27800.001181-0.001181

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 1 & 0.73441 & 0.26559 \tabularnewline
2 & 1 & 0.685516 & 0.314484 \tabularnewline
3 & 1 & 0.741302 & 0.258698 \tabularnewline
4 & 1 & 0.8502 & 0.1498 \tabularnewline
5 & 1 & 0.682243 & 0.317757 \tabularnewline
6 & 1 & 1.24597 & -0.245966 \tabularnewline
7 & 1 & 0.77224 & 0.22776 \tabularnewline
8 & 1 & 0.378396 & 0.621604 \tabularnewline
9 & 1 & 0.771837 & 0.228163 \tabularnewline
10 & 1 & 0.929801 & 0.0701991 \tabularnewline
11 & 1 & 0.872964 & 0.127036 \tabularnewline
12 & 1 & 0.877764 & 0.122236 \tabularnewline
13 & 1 & 0.564762 & 0.435238 \tabularnewline
14 & 1 & 0.886899 & 0.113101 \tabularnewline
15 & 1 & 0.179112 & 0.820888 \tabularnewline
16 & 0 & 0.365153 & -0.365153 \tabularnewline
17 & 1 & 0.81827 & 0.18173 \tabularnewline
18 & 1 & 0.614524 & 0.385476 \tabularnewline
19 & 0 & 0.692508 & -0.692508 \tabularnewline
20 & 1 & 0.586709 & 0.413291 \tabularnewline
21 & 1 & 0.872326 & 0.127674 \tabularnewline
22 & 1 & 0.672398 & 0.327602 \tabularnewline
23 & 1 & 1.28153 & -0.281534 \tabularnewline
24 & 1 & 0.976018 & 0.0239823 \tabularnewline
25 & 1 & 0.736969 & 0.263031 \tabularnewline
26 & 1 & 1.41735 & -0.417349 \tabularnewline
27 & 0 & 0.598808 & -0.598808 \tabularnewline
28 & 0 & 0.337835 & -0.337835 \tabularnewline
29 & 1 & 0.784102 & 0.215898 \tabularnewline
30 & 1 & 0.800421 & 0.199579 \tabularnewline
31 & 1 & 0.414672 & 0.585328 \tabularnewline
32 & 1 & 0.812495 & 0.187505 \tabularnewline
33 & 1 & 0.681459 & 0.318541 \tabularnewline
34 & 1 & 0.812502 & 0.187498 \tabularnewline
35 & 1 & 0.447734 & 0.552266 \tabularnewline
36 & 1 & 0.396114 & 0.603886 \tabularnewline
37 & 1 & 0.806979 & 0.193021 \tabularnewline
38 & 0 & 0.622833 & -0.622833 \tabularnewline
39 & 1 & 0.872891 & 0.127109 \tabularnewline
40 & 1 & 0.797097 & 0.202903 \tabularnewline
41 & 1 & 0.57441 & 0.42559 \tabularnewline
42 & 1 & 0.717327 & 0.282673 \tabularnewline
43 & 1 & 0.814097 & 0.185903 \tabularnewline
44 & 1 & 0.876542 & 0.123458 \tabularnewline
45 & 0 & 0.123782 & -0.123782 \tabularnewline
46 & 1 & 1.01014 & -0.0101425 \tabularnewline
47 & 1 & 0.463545 & 0.536455 \tabularnewline
48 & 0 & 0.362282 & -0.362282 \tabularnewline
49 & 1 & 0.447297 & 0.552703 \tabularnewline
50 & 0 & 0.30034 & -0.30034 \tabularnewline
51 & 0 & 0.529715 & -0.529715 \tabularnewline
52 & 0 & 0.087428 & -0.087428 \tabularnewline
53 & 1 & 0.784268 & 0.215732 \tabularnewline
54 & 0 & 0.818107 & -0.818107 \tabularnewline
55 & 1 & 0.551896 & 0.448104 \tabularnewline
56 & 1 & 0.558219 & 0.441781 \tabularnewline
57 & 0 & 0.703514 & -0.703514 \tabularnewline
58 & 1 & 0.648163 & 0.351837 \tabularnewline
59 & 0 & 0.142957 & -0.142957 \tabularnewline
60 & 0 & 0.365136 & -0.365136 \tabularnewline
61 & 1 & 0.869661 & 0.130339 \tabularnewline
62 & 1 & 0.85025 & 0.14975 \tabularnewline
63 & 1 & 0.468684 & 0.531316 \tabularnewline
64 & 1 & 1.05688 & -0.0568819 \tabularnewline
65 & 1 & 1.05958 & -0.0595755 \tabularnewline
66 & 0 & 0.21804 & -0.21804 \tabularnewline
67 & 1 & 0.957751 & 0.0422486 \tabularnewline
68 & 1 & 1.16347 & -0.163466 \tabularnewline
69 & 1 & 0.984945 & 0.0150553 \tabularnewline
70 & 0 & 0.436329 & -0.436329 \tabularnewline
71 & 1 & 0.89957 & 0.10043 \tabularnewline
72 & 1 & 0.613064 & 0.386936 \tabularnewline
73 & 0 & 0.288205 & -0.288205 \tabularnewline
74 & 0 & 0.328294 & -0.328294 \tabularnewline
75 & 1 & 0.670203 & 0.329797 \tabularnewline
76 & 1 & 0.812396 & 0.187604 \tabularnewline
77 & 0 & 0.463201 & -0.463201 \tabularnewline
78 & 1 & 0.798618 & 0.201382 \tabularnewline
79 & 0 & 0.255623 & -0.255623 \tabularnewline
80 & 1 & 0.524726 & 0.475274 \tabularnewline
81 & 0 & 0.400027 & -0.400027 \tabularnewline
82 & 0 & 0.522899 & -0.522899 \tabularnewline
83 & 0 & 0.324671 & -0.324671 \tabularnewline
84 & 0 & 0.514383 & -0.514383 \tabularnewline
85 & 0 & 0.614685 & -0.614685 \tabularnewline
86 & 0 & 0.428504 & -0.428504 \tabularnewline
87 & 0 & 0.269133 & -0.269133 \tabularnewline
88 & 0 & 0.230521 & -0.230521 \tabularnewline
89 & 0 & 0.397066 & -0.397066 \tabularnewline
90 & 0 & 0.642646 & -0.642646 \tabularnewline
91 & 0 & 0.238169 & -0.238169 \tabularnewline
92 & 0 & 0.616683 & -0.616683 \tabularnewline
93 & 0 & 0.733927 & -0.733927 \tabularnewline
94 & 0 & 0.437549 & -0.437549 \tabularnewline
95 & 0 & 0.471321 & -0.471321 \tabularnewline
96 & 0 & 0.630095 & -0.630095 \tabularnewline
97 & 0 & 0.667101 & -0.667101 \tabularnewline
98 & 0 & 0.428344 & -0.428344 \tabularnewline
99 & 0 & 0.383933 & -0.383933 \tabularnewline
100 & 0 & 0.517069 & -0.517069 \tabularnewline
101 & 0 & 0.228743 & -0.228743 \tabularnewline
102 & 0 & 0.457352 & -0.457352 \tabularnewline
103 & 0 & 0.377084 & -0.377084 \tabularnewline
104 & 0 & 0.649306 & -0.649306 \tabularnewline
105 & 0 & 0.3579 & -0.3579 \tabularnewline
106 & 0 & 0.465018 & -0.465018 \tabularnewline
107 & 0 & 0.401366 & -0.401366 \tabularnewline
108 & 0 & 0.478487 & -0.478487 \tabularnewline
109 & 0 & 0.172053 & -0.172053 \tabularnewline
110 & 0 & 0.432608 & -0.432608 \tabularnewline
111 & 0 & 0.559313 & -0.559313 \tabularnewline
112 & 0 & 0.44272 & -0.44272 \tabularnewline
113 & 1 & 0.166243 & 0.833757 \tabularnewline
114 & 1 & 0.0509784 & 0.949022 \tabularnewline
115 & 1 & 0.688786 & 0.311214 \tabularnewline
116 & 1 & 0.721404 & 0.278596 \tabularnewline
117 & 0 & 0.351238 & -0.351238 \tabularnewline
118 & 0 & 0.213168 & -0.213168 \tabularnewline
119 & 1 & 0.973355 & 0.0266451 \tabularnewline
120 & 1 & 0.667677 & 0.332323 \tabularnewline
121 & 1 & 0.655276 & 0.344724 \tabularnewline
122 & 1 & 0.1956 & 0.8044 \tabularnewline
123 & 1 & 0.651617 & 0.348383 \tabularnewline
124 & 1 & -0.0267663 & 1.02677 \tabularnewline
125 & 1 & 0.421372 & 0.578628 \tabularnewline
126 & 1 & 0.500794 & 0.499206 \tabularnewline
127 & 1 & 0.634968 & 0.365032 \tabularnewline
128 & 1 & 0.304312 & 0.695688 \tabularnewline
129 & 0 & 0.466286 & -0.466286 \tabularnewline
130 & 1 & 0.400851 & 0.599149 \tabularnewline
131 & 1 & 0.501375 & 0.498625 \tabularnewline
132 & 1 & 0.741732 & 0.258268 \tabularnewline
133 & 1 & 0.470114 & 0.529886 \tabularnewline
134 & 1 & 0.431883 & 0.568117 \tabularnewline
135 & 1 & 0.246377 & 0.753623 \tabularnewline
136 & 1 & 0.265763 & 0.734237 \tabularnewline
137 & 1 & 0.510749 & 0.489251 \tabularnewline
138 & 1 & 0.00194249 & 0.998058 \tabularnewline
139 & 1 & 0.661991 & 0.338009 \tabularnewline
140 & 1 & 0.439439 & 0.560561 \tabularnewline
141 & 0 & 0.23971 & -0.23971 \tabularnewline
142 & 1 & 0.817425 & 0.182575 \tabularnewline
143 & 1 & 0.712914 & 0.287086 \tabularnewline
144 & 1 & 0.526478 & 0.473522 \tabularnewline
145 & 1 & 0.690371 & 0.309629 \tabularnewline
146 & 1 & 0.64265 & 0.35735 \tabularnewline
147 & 1 & 0.526807 & 0.473193 \tabularnewline
148 & 1 & 0.4395 & 0.5605 \tabularnewline
149 & 1 & 0.614016 & 0.385984 \tabularnewline
150 & 1 & 0.842337 & 0.157663 \tabularnewline
151 & 1 & 0.937699 & 0.0623009 \tabularnewline
152 & 1 & 0.425238 & 0.574762 \tabularnewline
153 & 1 & 0.724632 & 0.275368 \tabularnewline
154 & 1 & 0.866162 & 0.133838 \tabularnewline
155 & 0 & 0.173178 & -0.173178 \tabularnewline
156 & 0 & 0.317464 & -0.317464 \tabularnewline
157 & 1 & 0.754302 & 0.245698 \tabularnewline
158 & 1 & 0.455522 & 0.544478 \tabularnewline
159 & 0 & 0.453016 & -0.453016 \tabularnewline
160 & 0 & 0.246974 & -0.246974 \tabularnewline
161 & 0 & 0.432747 & -0.432747 \tabularnewline
162 & 0 & 0.287215 & -0.287215 \tabularnewline
163 & 1 & 0.846298 & 0.153702 \tabularnewline
164 & 1 & -0.299606 & 1.29961 \tabularnewline
165 & 0 & 0.691995 & -0.691995 \tabularnewline
166 & 0 & 0.051713 & -0.051713 \tabularnewline
167 & 0 & 0.460472 & -0.460472 \tabularnewline
168 & 0 & 0.366826 & -0.366826 \tabularnewline
169 & 0 & 0.362655 & -0.362655 \tabularnewline
170 & 0 & 0.284058 & -0.284058 \tabularnewline
171 & 0 & 0.351379 & -0.351379 \tabularnewline
172 & 0 & 0.424289 & -0.424289 \tabularnewline
173 & 0 & 0.647903 & -0.647903 \tabularnewline
174 & 1 & 0.848273 & 0.151727 \tabularnewline
175 & 1 & 0.848273 & 0.151727 \tabularnewline
176 & 0 & 0.400905 & -0.400905 \tabularnewline
177 & 1 & 0.507204 & 0.492796 \tabularnewline
178 & 1 & 0.734024 & 0.265976 \tabularnewline
179 & 0 & 0.687659 & -0.687659 \tabularnewline
180 & 1 & 0.116591 & 0.883409 \tabularnewline
181 & 0 & 0.277616 & -0.277616 \tabularnewline
182 & 0 & 0.536075 & -0.536075 \tabularnewline
183 & 1 & 0.691327 & 0.308673 \tabularnewline
184 & 0 & 0.394844 & -0.394844 \tabularnewline
185 & 0 & 0.756698 & -0.756698 \tabularnewline
186 & 0 & 0.414099 & -0.414099 \tabularnewline
187 & 0 & 0.413625 & -0.413625 \tabularnewline
188 & 0 & 0.486796 & -0.486796 \tabularnewline
189 & 0 & 0.522355 & -0.522355 \tabularnewline
190 & 0 & 0.139344 & -0.139344 \tabularnewline
191 & 0 & 0.161772 & -0.161772 \tabularnewline
192 & 0 & 0.432902 & -0.432902 \tabularnewline
193 & 0 & 0.245509 & -0.245509 \tabularnewline
194 & 0 & 0.408896 & -0.408896 \tabularnewline
195 & 0 & 0.240032 & -0.240032 \tabularnewline
196 & 0 & 0.175936 & -0.175936 \tabularnewline
197 & 1 & 0.724233 & 0.275767 \tabularnewline
198 & 0 & 0.304916 & -0.304916 \tabularnewline
199 & 0 & 0.213569 & -0.213569 \tabularnewline
200 & 0 & 0.418989 & -0.418989 \tabularnewline
201 & 1 & 1.1308 & -0.130802 \tabularnewline
202 & 0 & 0.16196 & -0.16196 \tabularnewline
203 & 1 & 0.69214 & 0.30786 \tabularnewline
204 & 0 & 0.495368 & -0.495368 \tabularnewline
205 & 1 & 0.57406 & 0.42594 \tabularnewline
206 & 0 & 0.112792 & -0.112792 \tabularnewline
207 & 1 & 0.0419429 & 0.958057 \tabularnewline
208 & 0 & 0.0854681 & -0.0854681 \tabularnewline
209 & 0 & 0.521998 & -0.521998 \tabularnewline
210 & 0 & 0.335765 & -0.335765 \tabularnewline
211 & 0 & 0.0231813 & -0.0231813 \tabularnewline
212 & 1 & 0.751362 & 0.248638 \tabularnewline
213 & 1 & 0.43352 & 0.56648 \tabularnewline
214 & 0 & 0.255345 & -0.255345 \tabularnewline
215 & 1 & 0.714183 & 0.285817 \tabularnewline
216 & 1 & 0.428333 & 0.571667 \tabularnewline
217 & 0 & 0.32493 & -0.32493 \tabularnewline
218 & 1 & 0.879505 & 0.120495 \tabularnewline
219 & 0 & 0.122473 & -0.122473 \tabularnewline
220 & 0 & 0.426475 & -0.426475 \tabularnewline
221 & 1 & 0.629637 & 0.370363 \tabularnewline
222 & 0 & 0.127861 & -0.127861 \tabularnewline
223 & 1 & 0.499393 & 0.500607 \tabularnewline
224 & 1 & 0.624942 & 0.375058 \tabularnewline
225 & 1 & 0.788961 & 0.211039 \tabularnewline
226 & 0 & 0.0729875 & -0.0729875 \tabularnewline
227 & 1 & 0.646106 & 0.353894 \tabularnewline
228 & 0 & 0.245624 & -0.245624 \tabularnewline
229 & 1 & 0.457369 & 0.542631 \tabularnewline
230 & 1 & 0.67632 & 0.32368 \tabularnewline
231 & 1 & 0.808231 & 0.191769 \tabularnewline
232 & 1 & 0.567156 & 0.432844 \tabularnewline
233 & 0 & 0.324997 & -0.324997 \tabularnewline
234 & 1 & 0.889496 & 0.110504 \tabularnewline
235 & 1 & 0.431677 & 0.568323 \tabularnewline
236 & 1 & 0.182358 & 0.817642 \tabularnewline
237 & 0 & 0.0764608 & -0.0764608 \tabularnewline
238 & 1 & 0.680738 & 0.319262 \tabularnewline
239 & 1 & 0.175495 & 0.824505 \tabularnewline
240 & 0 & 0.303995 & -0.303995 \tabularnewline
241 & 1 & 0.460771 & 0.539229 \tabularnewline
242 & 0 & 0.162996 & -0.162996 \tabularnewline
243 & 0 & 0.381621 & -0.381621 \tabularnewline
244 & 0 & 0.691995 & -0.691995 \tabularnewline
245 & 0 & 0.321353 & -0.321353 \tabularnewline
246 & 0 & 0.467776 & -0.467776 \tabularnewline
247 & 1 & 0.794333 & 0.205667 \tabularnewline
248 & 1 & 0.513919 & 0.486081 \tabularnewline
249 & 1 & 0.548816 & 0.451184 \tabularnewline
250 & 1 & 0.641243 & 0.358757 \tabularnewline
251 & 1 & 0.725875 & 0.274125 \tabularnewline
252 & 1 & 0.285244 & 0.714756 \tabularnewline
253 & 0 & 0.331488 & -0.331488 \tabularnewline
254 & 0 & 0.226706 & -0.226706 \tabularnewline
255 & 1 & 0.877546 & 0.122454 \tabularnewline
256 & 0 & 0.393467 & -0.393467 \tabularnewline
257 & 0 & 0.221409 & -0.221409 \tabularnewline
258 & 1 & 0.429647 & 0.570353 \tabularnewline
259 & 0 & 0.403153 & -0.403153 \tabularnewline
260 & 0 & 0.491345 & -0.491345 \tabularnewline
261 & 0 & 0.051713 & -0.051713 \tabularnewline
262 & 0 & 0.332019 & -0.332019 \tabularnewline
263 & 0 & 0.376087 & -0.376087 \tabularnewline
264 & 0 & 0.381621 & -0.381621 \tabularnewline
265 & 0 & 0.340403 & -0.340403 \tabularnewline
266 & 0 & 0.146822 & -0.146822 \tabularnewline
267 & 0 & 0.234374 & -0.234374 \tabularnewline
268 & 0 & 0.415463 & -0.415463 \tabularnewline
269 & 0 & 0.477498 & -0.477498 \tabularnewline
270 & 0 & 0.134382 & -0.134382 \tabularnewline
271 & 0 & 0.526584 & -0.526584 \tabularnewline
272 & 0 & 0.225924 & -0.225924 \tabularnewline
273 & 0 & 0.299635 & -0.299635 \tabularnewline
274 & 0 & 0.375346 & -0.375346 \tabularnewline
275 & 0 & 0.399224 & -0.399224 \tabularnewline
276 & 1 & 0.499415 & 0.500585 \tabularnewline
277 & 0 & 0.482431 & -0.482431 \tabularnewline
278 & 0 & 0.001181 & -0.001181 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=271043&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]1[/C][C]0.73441[/C][C]0.26559[/C][/ROW]
[ROW][C]2[/C][C]1[/C][C]0.685516[/C][C]0.314484[/C][/ROW]
[ROW][C]3[/C][C]1[/C][C]0.741302[/C][C]0.258698[/C][/ROW]
[ROW][C]4[/C][C]1[/C][C]0.8502[/C][C]0.1498[/C][/ROW]
[ROW][C]5[/C][C]1[/C][C]0.682243[/C][C]0.317757[/C][/ROW]
[ROW][C]6[/C][C]1[/C][C]1.24597[/C][C]-0.245966[/C][/ROW]
[ROW][C]7[/C][C]1[/C][C]0.77224[/C][C]0.22776[/C][/ROW]
[ROW][C]8[/C][C]1[/C][C]0.378396[/C][C]0.621604[/C][/ROW]
[ROW][C]9[/C][C]1[/C][C]0.771837[/C][C]0.228163[/C][/ROW]
[ROW][C]10[/C][C]1[/C][C]0.929801[/C][C]0.0701991[/C][/ROW]
[ROW][C]11[/C][C]1[/C][C]0.872964[/C][C]0.127036[/C][/ROW]
[ROW][C]12[/C][C]1[/C][C]0.877764[/C][C]0.122236[/C][/ROW]
[ROW][C]13[/C][C]1[/C][C]0.564762[/C][C]0.435238[/C][/ROW]
[ROW][C]14[/C][C]1[/C][C]0.886899[/C][C]0.113101[/C][/ROW]
[ROW][C]15[/C][C]1[/C][C]0.179112[/C][C]0.820888[/C][/ROW]
[ROW][C]16[/C][C]0[/C][C]0.365153[/C][C]-0.365153[/C][/ROW]
[ROW][C]17[/C][C]1[/C][C]0.81827[/C][C]0.18173[/C][/ROW]
[ROW][C]18[/C][C]1[/C][C]0.614524[/C][C]0.385476[/C][/ROW]
[ROW][C]19[/C][C]0[/C][C]0.692508[/C][C]-0.692508[/C][/ROW]
[ROW][C]20[/C][C]1[/C][C]0.586709[/C][C]0.413291[/C][/ROW]
[ROW][C]21[/C][C]1[/C][C]0.872326[/C][C]0.127674[/C][/ROW]
[ROW][C]22[/C][C]1[/C][C]0.672398[/C][C]0.327602[/C][/ROW]
[ROW][C]23[/C][C]1[/C][C]1.28153[/C][C]-0.281534[/C][/ROW]
[ROW][C]24[/C][C]1[/C][C]0.976018[/C][C]0.0239823[/C][/ROW]
[ROW][C]25[/C][C]1[/C][C]0.736969[/C][C]0.263031[/C][/ROW]
[ROW][C]26[/C][C]1[/C][C]1.41735[/C][C]-0.417349[/C][/ROW]
[ROW][C]27[/C][C]0[/C][C]0.598808[/C][C]-0.598808[/C][/ROW]
[ROW][C]28[/C][C]0[/C][C]0.337835[/C][C]-0.337835[/C][/ROW]
[ROW][C]29[/C][C]1[/C][C]0.784102[/C][C]0.215898[/C][/ROW]
[ROW][C]30[/C][C]1[/C][C]0.800421[/C][C]0.199579[/C][/ROW]
[ROW][C]31[/C][C]1[/C][C]0.414672[/C][C]0.585328[/C][/ROW]
[ROW][C]32[/C][C]1[/C][C]0.812495[/C][C]0.187505[/C][/ROW]
[ROW][C]33[/C][C]1[/C][C]0.681459[/C][C]0.318541[/C][/ROW]
[ROW][C]34[/C][C]1[/C][C]0.812502[/C][C]0.187498[/C][/ROW]
[ROW][C]35[/C][C]1[/C][C]0.447734[/C][C]0.552266[/C][/ROW]
[ROW][C]36[/C][C]1[/C][C]0.396114[/C][C]0.603886[/C][/ROW]
[ROW][C]37[/C][C]1[/C][C]0.806979[/C][C]0.193021[/C][/ROW]
[ROW][C]38[/C][C]0[/C][C]0.622833[/C][C]-0.622833[/C][/ROW]
[ROW][C]39[/C][C]1[/C][C]0.872891[/C][C]0.127109[/C][/ROW]
[ROW][C]40[/C][C]1[/C][C]0.797097[/C][C]0.202903[/C][/ROW]
[ROW][C]41[/C][C]1[/C][C]0.57441[/C][C]0.42559[/C][/ROW]
[ROW][C]42[/C][C]1[/C][C]0.717327[/C][C]0.282673[/C][/ROW]
[ROW][C]43[/C][C]1[/C][C]0.814097[/C][C]0.185903[/C][/ROW]
[ROW][C]44[/C][C]1[/C][C]0.876542[/C][C]0.123458[/C][/ROW]
[ROW][C]45[/C][C]0[/C][C]0.123782[/C][C]-0.123782[/C][/ROW]
[ROW][C]46[/C][C]1[/C][C]1.01014[/C][C]-0.0101425[/C][/ROW]
[ROW][C]47[/C][C]1[/C][C]0.463545[/C][C]0.536455[/C][/ROW]
[ROW][C]48[/C][C]0[/C][C]0.362282[/C][C]-0.362282[/C][/ROW]
[ROW][C]49[/C][C]1[/C][C]0.447297[/C][C]0.552703[/C][/ROW]
[ROW][C]50[/C][C]0[/C][C]0.30034[/C][C]-0.30034[/C][/ROW]
[ROW][C]51[/C][C]0[/C][C]0.529715[/C][C]-0.529715[/C][/ROW]
[ROW][C]52[/C][C]0[/C][C]0.087428[/C][C]-0.087428[/C][/ROW]
[ROW][C]53[/C][C]1[/C][C]0.784268[/C][C]0.215732[/C][/ROW]
[ROW][C]54[/C][C]0[/C][C]0.818107[/C][C]-0.818107[/C][/ROW]
[ROW][C]55[/C][C]1[/C][C]0.551896[/C][C]0.448104[/C][/ROW]
[ROW][C]56[/C][C]1[/C][C]0.558219[/C][C]0.441781[/C][/ROW]
[ROW][C]57[/C][C]0[/C][C]0.703514[/C][C]-0.703514[/C][/ROW]
[ROW][C]58[/C][C]1[/C][C]0.648163[/C][C]0.351837[/C][/ROW]
[ROW][C]59[/C][C]0[/C][C]0.142957[/C][C]-0.142957[/C][/ROW]
[ROW][C]60[/C][C]0[/C][C]0.365136[/C][C]-0.365136[/C][/ROW]
[ROW][C]61[/C][C]1[/C][C]0.869661[/C][C]0.130339[/C][/ROW]
[ROW][C]62[/C][C]1[/C][C]0.85025[/C][C]0.14975[/C][/ROW]
[ROW][C]63[/C][C]1[/C][C]0.468684[/C][C]0.531316[/C][/ROW]
[ROW][C]64[/C][C]1[/C][C]1.05688[/C][C]-0.0568819[/C][/ROW]
[ROW][C]65[/C][C]1[/C][C]1.05958[/C][C]-0.0595755[/C][/ROW]
[ROW][C]66[/C][C]0[/C][C]0.21804[/C][C]-0.21804[/C][/ROW]
[ROW][C]67[/C][C]1[/C][C]0.957751[/C][C]0.0422486[/C][/ROW]
[ROW][C]68[/C][C]1[/C][C]1.16347[/C][C]-0.163466[/C][/ROW]
[ROW][C]69[/C][C]1[/C][C]0.984945[/C][C]0.0150553[/C][/ROW]
[ROW][C]70[/C][C]0[/C][C]0.436329[/C][C]-0.436329[/C][/ROW]
[ROW][C]71[/C][C]1[/C][C]0.89957[/C][C]0.10043[/C][/ROW]
[ROW][C]72[/C][C]1[/C][C]0.613064[/C][C]0.386936[/C][/ROW]
[ROW][C]73[/C][C]0[/C][C]0.288205[/C][C]-0.288205[/C][/ROW]
[ROW][C]74[/C][C]0[/C][C]0.328294[/C][C]-0.328294[/C][/ROW]
[ROW][C]75[/C][C]1[/C][C]0.670203[/C][C]0.329797[/C][/ROW]
[ROW][C]76[/C][C]1[/C][C]0.812396[/C][C]0.187604[/C][/ROW]
[ROW][C]77[/C][C]0[/C][C]0.463201[/C][C]-0.463201[/C][/ROW]
[ROW][C]78[/C][C]1[/C][C]0.798618[/C][C]0.201382[/C][/ROW]
[ROW][C]79[/C][C]0[/C][C]0.255623[/C][C]-0.255623[/C][/ROW]
[ROW][C]80[/C][C]1[/C][C]0.524726[/C][C]0.475274[/C][/ROW]
[ROW][C]81[/C][C]0[/C][C]0.400027[/C][C]-0.400027[/C][/ROW]
[ROW][C]82[/C][C]0[/C][C]0.522899[/C][C]-0.522899[/C][/ROW]
[ROW][C]83[/C][C]0[/C][C]0.324671[/C][C]-0.324671[/C][/ROW]
[ROW][C]84[/C][C]0[/C][C]0.514383[/C][C]-0.514383[/C][/ROW]
[ROW][C]85[/C][C]0[/C][C]0.614685[/C][C]-0.614685[/C][/ROW]
[ROW][C]86[/C][C]0[/C][C]0.428504[/C][C]-0.428504[/C][/ROW]
[ROW][C]87[/C][C]0[/C][C]0.269133[/C][C]-0.269133[/C][/ROW]
[ROW][C]88[/C][C]0[/C][C]0.230521[/C][C]-0.230521[/C][/ROW]
[ROW][C]89[/C][C]0[/C][C]0.397066[/C][C]-0.397066[/C][/ROW]
[ROW][C]90[/C][C]0[/C][C]0.642646[/C][C]-0.642646[/C][/ROW]
[ROW][C]91[/C][C]0[/C][C]0.238169[/C][C]-0.238169[/C][/ROW]
[ROW][C]92[/C][C]0[/C][C]0.616683[/C][C]-0.616683[/C][/ROW]
[ROW][C]93[/C][C]0[/C][C]0.733927[/C][C]-0.733927[/C][/ROW]
[ROW][C]94[/C][C]0[/C][C]0.437549[/C][C]-0.437549[/C][/ROW]
[ROW][C]95[/C][C]0[/C][C]0.471321[/C][C]-0.471321[/C][/ROW]
[ROW][C]96[/C][C]0[/C][C]0.630095[/C][C]-0.630095[/C][/ROW]
[ROW][C]97[/C][C]0[/C][C]0.667101[/C][C]-0.667101[/C][/ROW]
[ROW][C]98[/C][C]0[/C][C]0.428344[/C][C]-0.428344[/C][/ROW]
[ROW][C]99[/C][C]0[/C][C]0.383933[/C][C]-0.383933[/C][/ROW]
[ROW][C]100[/C][C]0[/C][C]0.517069[/C][C]-0.517069[/C][/ROW]
[ROW][C]101[/C][C]0[/C][C]0.228743[/C][C]-0.228743[/C][/ROW]
[ROW][C]102[/C][C]0[/C][C]0.457352[/C][C]-0.457352[/C][/ROW]
[ROW][C]103[/C][C]0[/C][C]0.377084[/C][C]-0.377084[/C][/ROW]
[ROW][C]104[/C][C]0[/C][C]0.649306[/C][C]-0.649306[/C][/ROW]
[ROW][C]105[/C][C]0[/C][C]0.3579[/C][C]-0.3579[/C][/ROW]
[ROW][C]106[/C][C]0[/C][C]0.465018[/C][C]-0.465018[/C][/ROW]
[ROW][C]107[/C][C]0[/C][C]0.401366[/C][C]-0.401366[/C][/ROW]
[ROW][C]108[/C][C]0[/C][C]0.478487[/C][C]-0.478487[/C][/ROW]
[ROW][C]109[/C][C]0[/C][C]0.172053[/C][C]-0.172053[/C][/ROW]
[ROW][C]110[/C][C]0[/C][C]0.432608[/C][C]-0.432608[/C][/ROW]
[ROW][C]111[/C][C]0[/C][C]0.559313[/C][C]-0.559313[/C][/ROW]
[ROW][C]112[/C][C]0[/C][C]0.44272[/C][C]-0.44272[/C][/ROW]
[ROW][C]113[/C][C]1[/C][C]0.166243[/C][C]0.833757[/C][/ROW]
[ROW][C]114[/C][C]1[/C][C]0.0509784[/C][C]0.949022[/C][/ROW]
[ROW][C]115[/C][C]1[/C][C]0.688786[/C][C]0.311214[/C][/ROW]
[ROW][C]116[/C][C]1[/C][C]0.721404[/C][C]0.278596[/C][/ROW]
[ROW][C]117[/C][C]0[/C][C]0.351238[/C][C]-0.351238[/C][/ROW]
[ROW][C]118[/C][C]0[/C][C]0.213168[/C][C]-0.213168[/C][/ROW]
[ROW][C]119[/C][C]1[/C][C]0.973355[/C][C]0.0266451[/C][/ROW]
[ROW][C]120[/C][C]1[/C][C]0.667677[/C][C]0.332323[/C][/ROW]
[ROW][C]121[/C][C]1[/C][C]0.655276[/C][C]0.344724[/C][/ROW]
[ROW][C]122[/C][C]1[/C][C]0.1956[/C][C]0.8044[/C][/ROW]
[ROW][C]123[/C][C]1[/C][C]0.651617[/C][C]0.348383[/C][/ROW]
[ROW][C]124[/C][C]1[/C][C]-0.0267663[/C][C]1.02677[/C][/ROW]
[ROW][C]125[/C][C]1[/C][C]0.421372[/C][C]0.578628[/C][/ROW]
[ROW][C]126[/C][C]1[/C][C]0.500794[/C][C]0.499206[/C][/ROW]
[ROW][C]127[/C][C]1[/C][C]0.634968[/C][C]0.365032[/C][/ROW]
[ROW][C]128[/C][C]1[/C][C]0.304312[/C][C]0.695688[/C][/ROW]
[ROW][C]129[/C][C]0[/C][C]0.466286[/C][C]-0.466286[/C][/ROW]
[ROW][C]130[/C][C]1[/C][C]0.400851[/C][C]0.599149[/C][/ROW]
[ROW][C]131[/C][C]1[/C][C]0.501375[/C][C]0.498625[/C][/ROW]
[ROW][C]132[/C][C]1[/C][C]0.741732[/C][C]0.258268[/C][/ROW]
[ROW][C]133[/C][C]1[/C][C]0.470114[/C][C]0.529886[/C][/ROW]
[ROW][C]134[/C][C]1[/C][C]0.431883[/C][C]0.568117[/C][/ROW]
[ROW][C]135[/C][C]1[/C][C]0.246377[/C][C]0.753623[/C][/ROW]
[ROW][C]136[/C][C]1[/C][C]0.265763[/C][C]0.734237[/C][/ROW]
[ROW][C]137[/C][C]1[/C][C]0.510749[/C][C]0.489251[/C][/ROW]
[ROW][C]138[/C][C]1[/C][C]0.00194249[/C][C]0.998058[/C][/ROW]
[ROW][C]139[/C][C]1[/C][C]0.661991[/C][C]0.338009[/C][/ROW]
[ROW][C]140[/C][C]1[/C][C]0.439439[/C][C]0.560561[/C][/ROW]
[ROW][C]141[/C][C]0[/C][C]0.23971[/C][C]-0.23971[/C][/ROW]
[ROW][C]142[/C][C]1[/C][C]0.817425[/C][C]0.182575[/C][/ROW]
[ROW][C]143[/C][C]1[/C][C]0.712914[/C][C]0.287086[/C][/ROW]
[ROW][C]144[/C][C]1[/C][C]0.526478[/C][C]0.473522[/C][/ROW]
[ROW][C]145[/C][C]1[/C][C]0.690371[/C][C]0.309629[/C][/ROW]
[ROW][C]146[/C][C]1[/C][C]0.64265[/C][C]0.35735[/C][/ROW]
[ROW][C]147[/C][C]1[/C][C]0.526807[/C][C]0.473193[/C][/ROW]
[ROW][C]148[/C][C]1[/C][C]0.4395[/C][C]0.5605[/C][/ROW]
[ROW][C]149[/C][C]1[/C][C]0.614016[/C][C]0.385984[/C][/ROW]
[ROW][C]150[/C][C]1[/C][C]0.842337[/C][C]0.157663[/C][/ROW]
[ROW][C]151[/C][C]1[/C][C]0.937699[/C][C]0.0623009[/C][/ROW]
[ROW][C]152[/C][C]1[/C][C]0.425238[/C][C]0.574762[/C][/ROW]
[ROW][C]153[/C][C]1[/C][C]0.724632[/C][C]0.275368[/C][/ROW]
[ROW][C]154[/C][C]1[/C][C]0.866162[/C][C]0.133838[/C][/ROW]
[ROW][C]155[/C][C]0[/C][C]0.173178[/C][C]-0.173178[/C][/ROW]
[ROW][C]156[/C][C]0[/C][C]0.317464[/C][C]-0.317464[/C][/ROW]
[ROW][C]157[/C][C]1[/C][C]0.754302[/C][C]0.245698[/C][/ROW]
[ROW][C]158[/C][C]1[/C][C]0.455522[/C][C]0.544478[/C][/ROW]
[ROW][C]159[/C][C]0[/C][C]0.453016[/C][C]-0.453016[/C][/ROW]
[ROW][C]160[/C][C]0[/C][C]0.246974[/C][C]-0.246974[/C][/ROW]
[ROW][C]161[/C][C]0[/C][C]0.432747[/C][C]-0.432747[/C][/ROW]
[ROW][C]162[/C][C]0[/C][C]0.287215[/C][C]-0.287215[/C][/ROW]
[ROW][C]163[/C][C]1[/C][C]0.846298[/C][C]0.153702[/C][/ROW]
[ROW][C]164[/C][C]1[/C][C]-0.299606[/C][C]1.29961[/C][/ROW]
[ROW][C]165[/C][C]0[/C][C]0.691995[/C][C]-0.691995[/C][/ROW]
[ROW][C]166[/C][C]0[/C][C]0.051713[/C][C]-0.051713[/C][/ROW]
[ROW][C]167[/C][C]0[/C][C]0.460472[/C][C]-0.460472[/C][/ROW]
[ROW][C]168[/C][C]0[/C][C]0.366826[/C][C]-0.366826[/C][/ROW]
[ROW][C]169[/C][C]0[/C][C]0.362655[/C][C]-0.362655[/C][/ROW]
[ROW][C]170[/C][C]0[/C][C]0.284058[/C][C]-0.284058[/C][/ROW]
[ROW][C]171[/C][C]0[/C][C]0.351379[/C][C]-0.351379[/C][/ROW]
[ROW][C]172[/C][C]0[/C][C]0.424289[/C][C]-0.424289[/C][/ROW]
[ROW][C]173[/C][C]0[/C][C]0.647903[/C][C]-0.647903[/C][/ROW]
[ROW][C]174[/C][C]1[/C][C]0.848273[/C][C]0.151727[/C][/ROW]
[ROW][C]175[/C][C]1[/C][C]0.848273[/C][C]0.151727[/C][/ROW]
[ROW][C]176[/C][C]0[/C][C]0.400905[/C][C]-0.400905[/C][/ROW]
[ROW][C]177[/C][C]1[/C][C]0.507204[/C][C]0.492796[/C][/ROW]
[ROW][C]178[/C][C]1[/C][C]0.734024[/C][C]0.265976[/C][/ROW]
[ROW][C]179[/C][C]0[/C][C]0.687659[/C][C]-0.687659[/C][/ROW]
[ROW][C]180[/C][C]1[/C][C]0.116591[/C][C]0.883409[/C][/ROW]
[ROW][C]181[/C][C]0[/C][C]0.277616[/C][C]-0.277616[/C][/ROW]
[ROW][C]182[/C][C]0[/C][C]0.536075[/C][C]-0.536075[/C][/ROW]
[ROW][C]183[/C][C]1[/C][C]0.691327[/C][C]0.308673[/C][/ROW]
[ROW][C]184[/C][C]0[/C][C]0.394844[/C][C]-0.394844[/C][/ROW]
[ROW][C]185[/C][C]0[/C][C]0.756698[/C][C]-0.756698[/C][/ROW]
[ROW][C]186[/C][C]0[/C][C]0.414099[/C][C]-0.414099[/C][/ROW]
[ROW][C]187[/C][C]0[/C][C]0.413625[/C][C]-0.413625[/C][/ROW]
[ROW][C]188[/C][C]0[/C][C]0.486796[/C][C]-0.486796[/C][/ROW]
[ROW][C]189[/C][C]0[/C][C]0.522355[/C][C]-0.522355[/C][/ROW]
[ROW][C]190[/C][C]0[/C][C]0.139344[/C][C]-0.139344[/C][/ROW]
[ROW][C]191[/C][C]0[/C][C]0.161772[/C][C]-0.161772[/C][/ROW]
[ROW][C]192[/C][C]0[/C][C]0.432902[/C][C]-0.432902[/C][/ROW]
[ROW][C]193[/C][C]0[/C][C]0.245509[/C][C]-0.245509[/C][/ROW]
[ROW][C]194[/C][C]0[/C][C]0.408896[/C][C]-0.408896[/C][/ROW]
[ROW][C]195[/C][C]0[/C][C]0.240032[/C][C]-0.240032[/C][/ROW]
[ROW][C]196[/C][C]0[/C][C]0.175936[/C][C]-0.175936[/C][/ROW]
[ROW][C]197[/C][C]1[/C][C]0.724233[/C][C]0.275767[/C][/ROW]
[ROW][C]198[/C][C]0[/C][C]0.304916[/C][C]-0.304916[/C][/ROW]
[ROW][C]199[/C][C]0[/C][C]0.213569[/C][C]-0.213569[/C][/ROW]
[ROW][C]200[/C][C]0[/C][C]0.418989[/C][C]-0.418989[/C][/ROW]
[ROW][C]201[/C][C]1[/C][C]1.1308[/C][C]-0.130802[/C][/ROW]
[ROW][C]202[/C][C]0[/C][C]0.16196[/C][C]-0.16196[/C][/ROW]
[ROW][C]203[/C][C]1[/C][C]0.69214[/C][C]0.30786[/C][/ROW]
[ROW][C]204[/C][C]0[/C][C]0.495368[/C][C]-0.495368[/C][/ROW]
[ROW][C]205[/C][C]1[/C][C]0.57406[/C][C]0.42594[/C][/ROW]
[ROW][C]206[/C][C]0[/C][C]0.112792[/C][C]-0.112792[/C][/ROW]
[ROW][C]207[/C][C]1[/C][C]0.0419429[/C][C]0.958057[/C][/ROW]
[ROW][C]208[/C][C]0[/C][C]0.0854681[/C][C]-0.0854681[/C][/ROW]
[ROW][C]209[/C][C]0[/C][C]0.521998[/C][C]-0.521998[/C][/ROW]
[ROW][C]210[/C][C]0[/C][C]0.335765[/C][C]-0.335765[/C][/ROW]
[ROW][C]211[/C][C]0[/C][C]0.0231813[/C][C]-0.0231813[/C][/ROW]
[ROW][C]212[/C][C]1[/C][C]0.751362[/C][C]0.248638[/C][/ROW]
[ROW][C]213[/C][C]1[/C][C]0.43352[/C][C]0.56648[/C][/ROW]
[ROW][C]214[/C][C]0[/C][C]0.255345[/C][C]-0.255345[/C][/ROW]
[ROW][C]215[/C][C]1[/C][C]0.714183[/C][C]0.285817[/C][/ROW]
[ROW][C]216[/C][C]1[/C][C]0.428333[/C][C]0.571667[/C][/ROW]
[ROW][C]217[/C][C]0[/C][C]0.32493[/C][C]-0.32493[/C][/ROW]
[ROW][C]218[/C][C]1[/C][C]0.879505[/C][C]0.120495[/C][/ROW]
[ROW][C]219[/C][C]0[/C][C]0.122473[/C][C]-0.122473[/C][/ROW]
[ROW][C]220[/C][C]0[/C][C]0.426475[/C][C]-0.426475[/C][/ROW]
[ROW][C]221[/C][C]1[/C][C]0.629637[/C][C]0.370363[/C][/ROW]
[ROW][C]222[/C][C]0[/C][C]0.127861[/C][C]-0.127861[/C][/ROW]
[ROW][C]223[/C][C]1[/C][C]0.499393[/C][C]0.500607[/C][/ROW]
[ROW][C]224[/C][C]1[/C][C]0.624942[/C][C]0.375058[/C][/ROW]
[ROW][C]225[/C][C]1[/C][C]0.788961[/C][C]0.211039[/C][/ROW]
[ROW][C]226[/C][C]0[/C][C]0.0729875[/C][C]-0.0729875[/C][/ROW]
[ROW][C]227[/C][C]1[/C][C]0.646106[/C][C]0.353894[/C][/ROW]
[ROW][C]228[/C][C]0[/C][C]0.245624[/C][C]-0.245624[/C][/ROW]
[ROW][C]229[/C][C]1[/C][C]0.457369[/C][C]0.542631[/C][/ROW]
[ROW][C]230[/C][C]1[/C][C]0.67632[/C][C]0.32368[/C][/ROW]
[ROW][C]231[/C][C]1[/C][C]0.808231[/C][C]0.191769[/C][/ROW]
[ROW][C]232[/C][C]1[/C][C]0.567156[/C][C]0.432844[/C][/ROW]
[ROW][C]233[/C][C]0[/C][C]0.324997[/C][C]-0.324997[/C][/ROW]
[ROW][C]234[/C][C]1[/C][C]0.889496[/C][C]0.110504[/C][/ROW]
[ROW][C]235[/C][C]1[/C][C]0.431677[/C][C]0.568323[/C][/ROW]
[ROW][C]236[/C][C]1[/C][C]0.182358[/C][C]0.817642[/C][/ROW]
[ROW][C]237[/C][C]0[/C][C]0.0764608[/C][C]-0.0764608[/C][/ROW]
[ROW][C]238[/C][C]1[/C][C]0.680738[/C][C]0.319262[/C][/ROW]
[ROW][C]239[/C][C]1[/C][C]0.175495[/C][C]0.824505[/C][/ROW]
[ROW][C]240[/C][C]0[/C][C]0.303995[/C][C]-0.303995[/C][/ROW]
[ROW][C]241[/C][C]1[/C][C]0.460771[/C][C]0.539229[/C][/ROW]
[ROW][C]242[/C][C]0[/C][C]0.162996[/C][C]-0.162996[/C][/ROW]
[ROW][C]243[/C][C]0[/C][C]0.381621[/C][C]-0.381621[/C][/ROW]
[ROW][C]244[/C][C]0[/C][C]0.691995[/C][C]-0.691995[/C][/ROW]
[ROW][C]245[/C][C]0[/C][C]0.321353[/C][C]-0.321353[/C][/ROW]
[ROW][C]246[/C][C]0[/C][C]0.467776[/C][C]-0.467776[/C][/ROW]
[ROW][C]247[/C][C]1[/C][C]0.794333[/C][C]0.205667[/C][/ROW]
[ROW][C]248[/C][C]1[/C][C]0.513919[/C][C]0.486081[/C][/ROW]
[ROW][C]249[/C][C]1[/C][C]0.548816[/C][C]0.451184[/C][/ROW]
[ROW][C]250[/C][C]1[/C][C]0.641243[/C][C]0.358757[/C][/ROW]
[ROW][C]251[/C][C]1[/C][C]0.725875[/C][C]0.274125[/C][/ROW]
[ROW][C]252[/C][C]1[/C][C]0.285244[/C][C]0.714756[/C][/ROW]
[ROW][C]253[/C][C]0[/C][C]0.331488[/C][C]-0.331488[/C][/ROW]
[ROW][C]254[/C][C]0[/C][C]0.226706[/C][C]-0.226706[/C][/ROW]
[ROW][C]255[/C][C]1[/C][C]0.877546[/C][C]0.122454[/C][/ROW]
[ROW][C]256[/C][C]0[/C][C]0.393467[/C][C]-0.393467[/C][/ROW]
[ROW][C]257[/C][C]0[/C][C]0.221409[/C][C]-0.221409[/C][/ROW]
[ROW][C]258[/C][C]1[/C][C]0.429647[/C][C]0.570353[/C][/ROW]
[ROW][C]259[/C][C]0[/C][C]0.403153[/C][C]-0.403153[/C][/ROW]
[ROW][C]260[/C][C]0[/C][C]0.491345[/C][C]-0.491345[/C][/ROW]
[ROW][C]261[/C][C]0[/C][C]0.051713[/C][C]-0.051713[/C][/ROW]
[ROW][C]262[/C][C]0[/C][C]0.332019[/C][C]-0.332019[/C][/ROW]
[ROW][C]263[/C][C]0[/C][C]0.376087[/C][C]-0.376087[/C][/ROW]
[ROW][C]264[/C][C]0[/C][C]0.381621[/C][C]-0.381621[/C][/ROW]
[ROW][C]265[/C][C]0[/C][C]0.340403[/C][C]-0.340403[/C][/ROW]
[ROW][C]266[/C][C]0[/C][C]0.146822[/C][C]-0.146822[/C][/ROW]
[ROW][C]267[/C][C]0[/C][C]0.234374[/C][C]-0.234374[/C][/ROW]
[ROW][C]268[/C][C]0[/C][C]0.415463[/C][C]-0.415463[/C][/ROW]
[ROW][C]269[/C][C]0[/C][C]0.477498[/C][C]-0.477498[/C][/ROW]
[ROW][C]270[/C][C]0[/C][C]0.134382[/C][C]-0.134382[/C][/ROW]
[ROW][C]271[/C][C]0[/C][C]0.526584[/C][C]-0.526584[/C][/ROW]
[ROW][C]272[/C][C]0[/C][C]0.225924[/C][C]-0.225924[/C][/ROW]
[ROW][C]273[/C][C]0[/C][C]0.299635[/C][C]-0.299635[/C][/ROW]
[ROW][C]274[/C][C]0[/C][C]0.375346[/C][C]-0.375346[/C][/ROW]
[ROW][C]275[/C][C]0[/C][C]0.399224[/C][C]-0.399224[/C][/ROW]
[ROW][C]276[/C][C]1[/C][C]0.499415[/C][C]0.500585[/C][/ROW]
[ROW][C]277[/C][C]0[/C][C]0.482431[/C][C]-0.482431[/C][/ROW]
[ROW][C]278[/C][C]0[/C][C]0.001181[/C][C]-0.001181[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=271043&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=271043&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
110.734410.26559
210.6855160.314484
310.7413020.258698
410.85020.1498
510.6822430.317757
611.24597-0.245966
710.772240.22776
810.3783960.621604
910.7718370.228163
1010.9298010.0701991
1110.8729640.127036
1210.8777640.122236
1310.5647620.435238
1410.8868990.113101
1510.1791120.820888
1600.365153-0.365153
1710.818270.18173
1810.6145240.385476
1900.692508-0.692508
2010.5867090.413291
2110.8723260.127674
2210.6723980.327602
2311.28153-0.281534
2410.9760180.0239823
2510.7369690.263031
2611.41735-0.417349
2700.598808-0.598808
2800.337835-0.337835
2910.7841020.215898
3010.8004210.199579
3110.4146720.585328
3210.8124950.187505
3310.6814590.318541
3410.8125020.187498
3510.4477340.552266
3610.3961140.603886
3710.8069790.193021
3800.622833-0.622833
3910.8728910.127109
4010.7970970.202903
4110.574410.42559
4210.7173270.282673
4310.8140970.185903
4410.8765420.123458
4500.123782-0.123782
4611.01014-0.0101425
4710.4635450.536455
4800.362282-0.362282
4910.4472970.552703
5000.30034-0.30034
5100.529715-0.529715
5200.087428-0.087428
5310.7842680.215732
5400.818107-0.818107
5510.5518960.448104
5610.5582190.441781
5700.703514-0.703514
5810.6481630.351837
5900.142957-0.142957
6000.365136-0.365136
6110.8696610.130339
6210.850250.14975
6310.4686840.531316
6411.05688-0.0568819
6511.05958-0.0595755
6600.21804-0.21804
6710.9577510.0422486
6811.16347-0.163466
6910.9849450.0150553
7000.436329-0.436329
7110.899570.10043
7210.6130640.386936
7300.288205-0.288205
7400.328294-0.328294
7510.6702030.329797
7610.8123960.187604
7700.463201-0.463201
7810.7986180.201382
7900.255623-0.255623
8010.5247260.475274
8100.400027-0.400027
8200.522899-0.522899
8300.324671-0.324671
8400.514383-0.514383
8500.614685-0.614685
8600.428504-0.428504
8700.269133-0.269133
8800.230521-0.230521
8900.397066-0.397066
9000.642646-0.642646
9100.238169-0.238169
9200.616683-0.616683
9300.733927-0.733927
9400.437549-0.437549
9500.471321-0.471321
9600.630095-0.630095
9700.667101-0.667101
9800.428344-0.428344
9900.383933-0.383933
10000.517069-0.517069
10100.228743-0.228743
10200.457352-0.457352
10300.377084-0.377084
10400.649306-0.649306
10500.3579-0.3579
10600.465018-0.465018
10700.401366-0.401366
10800.478487-0.478487
10900.172053-0.172053
11000.432608-0.432608
11100.559313-0.559313
11200.44272-0.44272
11310.1662430.833757
11410.05097840.949022
11510.6887860.311214
11610.7214040.278596
11700.351238-0.351238
11800.213168-0.213168
11910.9733550.0266451
12010.6676770.332323
12110.6552760.344724
12210.19560.8044
12310.6516170.348383
1241-0.02676631.02677
12510.4213720.578628
12610.5007940.499206
12710.6349680.365032
12810.3043120.695688
12900.466286-0.466286
13010.4008510.599149
13110.5013750.498625
13210.7417320.258268
13310.4701140.529886
13410.4318830.568117
13510.2463770.753623
13610.2657630.734237
13710.5107490.489251
13810.001942490.998058
13910.6619910.338009
14010.4394390.560561
14100.23971-0.23971
14210.8174250.182575
14310.7129140.287086
14410.5264780.473522
14510.6903710.309629
14610.642650.35735
14710.5268070.473193
14810.43950.5605
14910.6140160.385984
15010.8423370.157663
15110.9376990.0623009
15210.4252380.574762
15310.7246320.275368
15410.8661620.133838
15500.173178-0.173178
15600.317464-0.317464
15710.7543020.245698
15810.4555220.544478
15900.453016-0.453016
16000.246974-0.246974
16100.432747-0.432747
16200.287215-0.287215
16310.8462980.153702
1641-0.2996061.29961
16500.691995-0.691995
16600.051713-0.051713
16700.460472-0.460472
16800.366826-0.366826
16900.362655-0.362655
17000.284058-0.284058
17100.351379-0.351379
17200.424289-0.424289
17300.647903-0.647903
17410.8482730.151727
17510.8482730.151727
17600.400905-0.400905
17710.5072040.492796
17810.7340240.265976
17900.687659-0.687659
18010.1165910.883409
18100.277616-0.277616
18200.536075-0.536075
18310.6913270.308673
18400.394844-0.394844
18500.756698-0.756698
18600.414099-0.414099
18700.413625-0.413625
18800.486796-0.486796
18900.522355-0.522355
19000.139344-0.139344
19100.161772-0.161772
19200.432902-0.432902
19300.245509-0.245509
19400.408896-0.408896
19500.240032-0.240032
19600.175936-0.175936
19710.7242330.275767
19800.304916-0.304916
19900.213569-0.213569
20000.418989-0.418989
20111.1308-0.130802
20200.16196-0.16196
20310.692140.30786
20400.495368-0.495368
20510.574060.42594
20600.112792-0.112792
20710.04194290.958057
20800.0854681-0.0854681
20900.521998-0.521998
21000.335765-0.335765
21100.0231813-0.0231813
21210.7513620.248638
21310.433520.56648
21400.255345-0.255345
21510.7141830.285817
21610.4283330.571667
21700.32493-0.32493
21810.8795050.120495
21900.122473-0.122473
22000.426475-0.426475
22110.6296370.370363
22200.127861-0.127861
22310.4993930.500607
22410.6249420.375058
22510.7889610.211039
22600.0729875-0.0729875
22710.6461060.353894
22800.245624-0.245624
22910.4573690.542631
23010.676320.32368
23110.8082310.191769
23210.5671560.432844
23300.324997-0.324997
23410.8894960.110504
23510.4316770.568323
23610.1823580.817642
23700.0764608-0.0764608
23810.6807380.319262
23910.1754950.824505
24000.303995-0.303995
24110.4607710.539229
24200.162996-0.162996
24300.381621-0.381621
24400.691995-0.691995
24500.321353-0.321353
24600.467776-0.467776
24710.7943330.205667
24810.5139190.486081
24910.5488160.451184
25010.6412430.358757
25110.7258750.274125
25210.2852440.714756
25300.331488-0.331488
25400.226706-0.226706
25510.8775460.122454
25600.393467-0.393467
25700.221409-0.221409
25810.4296470.570353
25900.403153-0.403153
26000.491345-0.491345
26100.051713-0.051713
26200.332019-0.332019
26300.376087-0.376087
26400.381621-0.381621
26500.340403-0.340403
26600.146822-0.146822
26700.234374-0.234374
26800.415463-0.415463
26900.477498-0.477498
27000.134382-0.134382
27100.526584-0.526584
27200.225924-0.225924
27300.299635-0.299635
27400.375346-0.375346
27500.399224-0.399224
27610.4994150.500585
27700.482431-0.482431
27800.001181-0.001181






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
7001
83.82029e-617.64058e-611
9001
10001
111.75945e-1063.5189e-1061
123.43945e-1196.87889e-1191
13001
14001
157.17056e-1671.43411e-1661
160.01959740.03919490.980403
170.01057430.02114870.989426
180.005980740.01196150.994019
190.1074640.2149280.892536
200.08157460.1631490.918425
210.05617220.1123440.943828
220.03843930.07687870.961561
230.02525170.05050340.974748
240.01603960.03207930.98396
250.01032710.02065410.989673
260.006719720.01343940.99328
270.03466920.06933830.965331
280.06449020.128980.93551
290.04754040.09508070.95246
300.0350510.07010190.964949
310.02875650.0575130.971244
320.02072490.04144970.979275
330.01471040.02942080.98529
340.01016330.02032650.989837
350.008703090.01740620.991297
360.00745420.01490840.992546
370.00502340.01004680.994977
380.01702280.03404570.982977
390.01203120.02406240.987969
400.008881720.01776340.991118
410.006452740.01290550.993547
420.004802520.009605050.995197
430.003577460.007154920.996423
440.002424880.004849760.997575
450.003196790.006393570.996803
460.002138330.004276650.997862
470.002092370.004184740.997908
480.006796990.0135940.993203
490.006913220.01382640.993087
500.009773030.01954610.990227
510.01865790.03731570.981342
520.02162920.04325830.978371
530.01690740.03381490.983093
540.04322780.08645570.956772
550.04358140.08716280.956419
560.04042860.08085720.959571
570.09454680.1890940.905453
580.08777970.1755590.91222
590.08344460.1668890.916555
600.08876340.1775270.911237
610.07344230.1468850.926558
620.06155110.1231020.938449
630.06192530.1238510.938075
640.04982260.09964510.950177
650.04008560.08017120.959914
660.03957220.07914450.960428
670.03175470.06350930.968245
680.02569080.05138160.974309
690.02013480.04026970.979865
700.02352050.04704090.97648
710.01865580.03731160.981344
720.01774940.03549870.982251
730.01837280.03674570.981627
740.01823320.03646640.981767
750.01659720.03319430.983403
760.01362640.02725280.986374
770.01560980.03121960.98439
780.01301450.02602890.986986
790.01216490.02432970.987835
800.0122050.02441010.987795
810.01323520.02647030.986765
820.01500730.03001470.984993
830.01444240.02888490.985558
840.01993090.03986170.980069
850.02777590.05555170.972224
860.0291970.05839390.970803
870.02590870.05181730.974091
880.02210950.04421890.977891
890.02213140.04426290.977869
900.02782230.05564460.972178
910.02323370.04646730.976766
920.03126570.06253150.968734
930.04560160.09120320.954398
940.04482320.08964640.955177
950.04584010.09168030.95416
960.05347410.1069480.946526
970.06903470.1380690.930965
980.06554110.1310820.934459
990.05949430.1189890.940506
1000.06790110.1358020.932099
1010.05861410.1172280.941386
1020.05836140.1167230.941639
1030.05484180.1096840.945158
1040.07092290.1418460.929077
1050.06468250.1293650.935317
1060.06808280.1361660.931917
1070.06378480.127570.936215
1080.06938180.1387640.930618
1090.06121740.1224350.938783
1100.06227370.1245470.937726
1110.06972680.1394540.930273
1120.06958120.1391620.930419
1130.1163080.2326160.883692
1140.2267620.4535230.773238
1150.2265650.4531310.773435
1160.2190640.4381290.780936
1170.2176510.4353010.782349
1180.1977460.3954920.802254
1190.1742840.3485670.825716
1200.1664930.3329850.833507
1210.1596380.3192760.840362
1220.2413310.4826630.758669
1230.2353150.470630.764685
1240.4026920.8053840.597308
1250.4230520.8461030.576948
1260.4329970.8659940.567003
1270.4210860.8421720.578914
1280.4793610.9587210.520639
1290.5011210.9977580.498879
1300.5305290.9389430.469471
1310.5372540.9254910.462746
1320.5205390.9589210.479461
1330.5348480.9303040.465152
1340.5610410.8779190.438959
1350.6221810.7556380.377819
1360.6823770.6352470.317623
1370.6839460.6321070.316054
1380.7967720.4064570.203228
1390.7881790.4236410.211821
1400.8145460.3709080.185454
1410.804140.391720.19586
1420.7807180.4385640.219282
1430.7696180.4607640.230382
1440.7730860.4538270.226914
1450.7596310.4807380.240369
1460.7538440.4923130.246156
1470.7578420.4843160.242158
1480.7773380.4453240.222662
1490.7669360.4661280.233064
1500.7425940.5148110.257406
1510.7193420.5613150.280658
1520.7639170.4721670.236083
1530.7491380.5017240.250862
1540.7216070.5567850.278393
1550.7038080.5923850.296192
1560.6977810.6044380.302219
1570.6993470.6013060.300653
1580.723420.5531590.27658
1590.7289430.5421130.271057
1600.7109590.5780830.289041
1610.7175230.5649540.282477
1620.7078470.5843060.292153
1630.6852120.6295770.314788
1640.9192010.1615990.0807994
1650.9364760.1270480.063524
1660.9261530.1476940.0738472
1670.9271830.1456340.0728171
1680.9253730.1492530.0746267
1690.9212890.1574220.0787109
1700.9145930.1708150.0854073
1710.9088260.1823480.0911739
1720.9058560.1882880.0941441
1730.9281140.1437720.0718858
1740.9154090.1691810.0845905
1750.9010250.1979510.0989753
1760.8958040.2083910.104196
1770.9019730.1960540.0980269
1780.8955360.2089290.104464
1790.9256160.1487680.0743841
1800.9582520.0834970.0417485
1810.9520870.09582570.0479129
1820.9599510.08009710.0400486
1830.9598350.08033090.0401655
1840.9575080.08498310.0424916
1850.9846240.03075240.0153762
1860.9833680.03326420.0166321
1870.9823360.03532780.0176639
1880.9851540.0296920.014846
1890.9899790.02004220.0100211
1900.9873250.02534910.0126745
1910.9845870.03082680.0154134
1920.9845680.03086320.0154316
1930.9843760.0312490.0156245
1940.9824590.03508250.0175413
1950.9791050.04179020.0208951
1960.9742940.05141280.0257064
1970.9694710.06105750.0305288
1980.9650540.06989130.0349456
1990.9576380.08472380.0423619
2000.9546950.09061010.045305
2010.9474780.1050440.052522
2020.9367680.1264640.0632318
2030.9257980.1484050.0742023
2040.9343860.1312280.065614
2050.9271360.1457280.0728639
2060.9136410.1727180.0863591
2070.9746370.05072680.0253634
2080.9679880.06402440.0320122
2090.9675830.06483480.0324174
2100.961080.07783950.0389198
2110.9523370.09532540.0476627
2120.9420430.1159130.0579567
2130.9573060.08538880.0426944
2140.951570.09685930.0484296
2150.9463820.1072370.0536184
2160.9559870.08802640.0440132
2170.9476730.1046530.0523265
2180.9370860.1258280.0629142
2190.9225970.1548070.0774035
2200.9141980.1716040.0858021
2210.9147260.1705480.0852738
2220.900780.1984390.0992196
2230.8952540.2094930.104746
2240.8774840.2450330.122516
2250.857760.284480.14224
2260.8327760.3344480.167224
2270.8093560.3812880.190644
2280.7789590.4420820.221041
2290.8624020.2751960.137598
2300.8587920.2824170.141208
2310.8392410.3215170.160759
2320.9191130.1617740.0808868
2330.9111320.1777360.0888679
2340.894610.210780.10539
2350.8830060.2339870.116994
2360.902040.195920.0979598
2370.8780390.2439210.121961
2380.8842670.2314670.115733
2390.9726350.05472980.0273649
2400.9658360.06832780.0341639
2410.9790720.04185640.0209282
2420.9709210.05815820.0290791
2430.9626730.07465370.0373268
2440.954860.09027960.0451398
2450.9448140.1103730.0551865
2460.9392420.1215150.0607577
2470.9252370.1495260.074763
2480.9529340.09413130.0470657
2490.9723230.05535310.0276766
2500.9705930.05881490.0294074
2510.9643360.07132860.0356643
2520.9977210.004558060.00227903
2530.996110.007779140.00388957
2540.9939770.01204570.00602283
2550.9914970.01700650.00850327
2560.9864540.02709230.0135462
2570.9816040.03679140.0183957
2580.9970670.005865610.00293281
2590.9944950.01101060.00550528
2600.9927420.01451670.00725837
2610.9878440.02431150.0121558
2620.9802110.03957780.0197889
2630.9809150.03817050.0190853
2640.9699290.06014170.0300708
2650.9484880.1030240.0515122
2660.9344360.1311280.0655642
2670.9294270.1411450.0705725
2680.9243420.1513150.0756576
2690.9099960.1800080.0900039
2700.8218470.3563070.178153
2710.6803040.6393920.319696

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
7 & 0 & 0 & 1 \tabularnewline
8 & 3.82029e-61 & 7.64058e-61 & 1 \tabularnewline
9 & 0 & 0 & 1 \tabularnewline
10 & 0 & 0 & 1 \tabularnewline
11 & 1.75945e-106 & 3.5189e-106 & 1 \tabularnewline
12 & 3.43945e-119 & 6.87889e-119 & 1 \tabularnewline
13 & 0 & 0 & 1 \tabularnewline
14 & 0 & 0 & 1 \tabularnewline
15 & 7.17056e-167 & 1.43411e-166 & 1 \tabularnewline
16 & 0.0195974 & 0.0391949 & 0.980403 \tabularnewline
17 & 0.0105743 & 0.0211487 & 0.989426 \tabularnewline
18 & 0.00598074 & 0.0119615 & 0.994019 \tabularnewline
19 & 0.107464 & 0.214928 & 0.892536 \tabularnewline
20 & 0.0815746 & 0.163149 & 0.918425 \tabularnewline
21 & 0.0561722 & 0.112344 & 0.943828 \tabularnewline
22 & 0.0384393 & 0.0768787 & 0.961561 \tabularnewline
23 & 0.0252517 & 0.0505034 & 0.974748 \tabularnewline
24 & 0.0160396 & 0.0320793 & 0.98396 \tabularnewline
25 & 0.0103271 & 0.0206541 & 0.989673 \tabularnewline
26 & 0.00671972 & 0.0134394 & 0.99328 \tabularnewline
27 & 0.0346692 & 0.0693383 & 0.965331 \tabularnewline
28 & 0.0644902 & 0.12898 & 0.93551 \tabularnewline
29 & 0.0475404 & 0.0950807 & 0.95246 \tabularnewline
30 & 0.035051 & 0.0701019 & 0.964949 \tabularnewline
31 & 0.0287565 & 0.057513 & 0.971244 \tabularnewline
32 & 0.0207249 & 0.0414497 & 0.979275 \tabularnewline
33 & 0.0147104 & 0.0294208 & 0.98529 \tabularnewline
34 & 0.0101633 & 0.0203265 & 0.989837 \tabularnewline
35 & 0.00870309 & 0.0174062 & 0.991297 \tabularnewline
36 & 0.0074542 & 0.0149084 & 0.992546 \tabularnewline
37 & 0.0050234 & 0.0100468 & 0.994977 \tabularnewline
38 & 0.0170228 & 0.0340457 & 0.982977 \tabularnewline
39 & 0.0120312 & 0.0240624 & 0.987969 \tabularnewline
40 & 0.00888172 & 0.0177634 & 0.991118 \tabularnewline
41 & 0.00645274 & 0.0129055 & 0.993547 \tabularnewline
42 & 0.00480252 & 0.00960505 & 0.995197 \tabularnewline
43 & 0.00357746 & 0.00715492 & 0.996423 \tabularnewline
44 & 0.00242488 & 0.00484976 & 0.997575 \tabularnewline
45 & 0.00319679 & 0.00639357 & 0.996803 \tabularnewline
46 & 0.00213833 & 0.00427665 & 0.997862 \tabularnewline
47 & 0.00209237 & 0.00418474 & 0.997908 \tabularnewline
48 & 0.00679699 & 0.013594 & 0.993203 \tabularnewline
49 & 0.00691322 & 0.0138264 & 0.993087 \tabularnewline
50 & 0.00977303 & 0.0195461 & 0.990227 \tabularnewline
51 & 0.0186579 & 0.0373157 & 0.981342 \tabularnewline
52 & 0.0216292 & 0.0432583 & 0.978371 \tabularnewline
53 & 0.0169074 & 0.0338149 & 0.983093 \tabularnewline
54 & 0.0432278 & 0.0864557 & 0.956772 \tabularnewline
55 & 0.0435814 & 0.0871628 & 0.956419 \tabularnewline
56 & 0.0404286 & 0.0808572 & 0.959571 \tabularnewline
57 & 0.0945468 & 0.189094 & 0.905453 \tabularnewline
58 & 0.0877797 & 0.175559 & 0.91222 \tabularnewline
59 & 0.0834446 & 0.166889 & 0.916555 \tabularnewline
60 & 0.0887634 & 0.177527 & 0.911237 \tabularnewline
61 & 0.0734423 & 0.146885 & 0.926558 \tabularnewline
62 & 0.0615511 & 0.123102 & 0.938449 \tabularnewline
63 & 0.0619253 & 0.123851 & 0.938075 \tabularnewline
64 & 0.0498226 & 0.0996451 & 0.950177 \tabularnewline
65 & 0.0400856 & 0.0801712 & 0.959914 \tabularnewline
66 & 0.0395722 & 0.0791445 & 0.960428 \tabularnewline
67 & 0.0317547 & 0.0635093 & 0.968245 \tabularnewline
68 & 0.0256908 & 0.0513816 & 0.974309 \tabularnewline
69 & 0.0201348 & 0.0402697 & 0.979865 \tabularnewline
70 & 0.0235205 & 0.0470409 & 0.97648 \tabularnewline
71 & 0.0186558 & 0.0373116 & 0.981344 \tabularnewline
72 & 0.0177494 & 0.0354987 & 0.982251 \tabularnewline
73 & 0.0183728 & 0.0367457 & 0.981627 \tabularnewline
74 & 0.0182332 & 0.0364664 & 0.981767 \tabularnewline
75 & 0.0165972 & 0.0331943 & 0.983403 \tabularnewline
76 & 0.0136264 & 0.0272528 & 0.986374 \tabularnewline
77 & 0.0156098 & 0.0312196 & 0.98439 \tabularnewline
78 & 0.0130145 & 0.0260289 & 0.986986 \tabularnewline
79 & 0.0121649 & 0.0243297 & 0.987835 \tabularnewline
80 & 0.012205 & 0.0244101 & 0.987795 \tabularnewline
81 & 0.0132352 & 0.0264703 & 0.986765 \tabularnewline
82 & 0.0150073 & 0.0300147 & 0.984993 \tabularnewline
83 & 0.0144424 & 0.0288849 & 0.985558 \tabularnewline
84 & 0.0199309 & 0.0398617 & 0.980069 \tabularnewline
85 & 0.0277759 & 0.0555517 & 0.972224 \tabularnewline
86 & 0.029197 & 0.0583939 & 0.970803 \tabularnewline
87 & 0.0259087 & 0.0518173 & 0.974091 \tabularnewline
88 & 0.0221095 & 0.0442189 & 0.977891 \tabularnewline
89 & 0.0221314 & 0.0442629 & 0.977869 \tabularnewline
90 & 0.0278223 & 0.0556446 & 0.972178 \tabularnewline
91 & 0.0232337 & 0.0464673 & 0.976766 \tabularnewline
92 & 0.0312657 & 0.0625315 & 0.968734 \tabularnewline
93 & 0.0456016 & 0.0912032 & 0.954398 \tabularnewline
94 & 0.0448232 & 0.0896464 & 0.955177 \tabularnewline
95 & 0.0458401 & 0.0916803 & 0.95416 \tabularnewline
96 & 0.0534741 & 0.106948 & 0.946526 \tabularnewline
97 & 0.0690347 & 0.138069 & 0.930965 \tabularnewline
98 & 0.0655411 & 0.131082 & 0.934459 \tabularnewline
99 & 0.0594943 & 0.118989 & 0.940506 \tabularnewline
100 & 0.0679011 & 0.135802 & 0.932099 \tabularnewline
101 & 0.0586141 & 0.117228 & 0.941386 \tabularnewline
102 & 0.0583614 & 0.116723 & 0.941639 \tabularnewline
103 & 0.0548418 & 0.109684 & 0.945158 \tabularnewline
104 & 0.0709229 & 0.141846 & 0.929077 \tabularnewline
105 & 0.0646825 & 0.129365 & 0.935317 \tabularnewline
106 & 0.0680828 & 0.136166 & 0.931917 \tabularnewline
107 & 0.0637848 & 0.12757 & 0.936215 \tabularnewline
108 & 0.0693818 & 0.138764 & 0.930618 \tabularnewline
109 & 0.0612174 & 0.122435 & 0.938783 \tabularnewline
110 & 0.0622737 & 0.124547 & 0.937726 \tabularnewline
111 & 0.0697268 & 0.139454 & 0.930273 \tabularnewline
112 & 0.0695812 & 0.139162 & 0.930419 \tabularnewline
113 & 0.116308 & 0.232616 & 0.883692 \tabularnewline
114 & 0.226762 & 0.453523 & 0.773238 \tabularnewline
115 & 0.226565 & 0.453131 & 0.773435 \tabularnewline
116 & 0.219064 & 0.438129 & 0.780936 \tabularnewline
117 & 0.217651 & 0.435301 & 0.782349 \tabularnewline
118 & 0.197746 & 0.395492 & 0.802254 \tabularnewline
119 & 0.174284 & 0.348567 & 0.825716 \tabularnewline
120 & 0.166493 & 0.332985 & 0.833507 \tabularnewline
121 & 0.159638 & 0.319276 & 0.840362 \tabularnewline
122 & 0.241331 & 0.482663 & 0.758669 \tabularnewline
123 & 0.235315 & 0.47063 & 0.764685 \tabularnewline
124 & 0.402692 & 0.805384 & 0.597308 \tabularnewline
125 & 0.423052 & 0.846103 & 0.576948 \tabularnewline
126 & 0.432997 & 0.865994 & 0.567003 \tabularnewline
127 & 0.421086 & 0.842172 & 0.578914 \tabularnewline
128 & 0.479361 & 0.958721 & 0.520639 \tabularnewline
129 & 0.501121 & 0.997758 & 0.498879 \tabularnewline
130 & 0.530529 & 0.938943 & 0.469471 \tabularnewline
131 & 0.537254 & 0.925491 & 0.462746 \tabularnewline
132 & 0.520539 & 0.958921 & 0.479461 \tabularnewline
133 & 0.534848 & 0.930304 & 0.465152 \tabularnewline
134 & 0.561041 & 0.877919 & 0.438959 \tabularnewline
135 & 0.622181 & 0.755638 & 0.377819 \tabularnewline
136 & 0.682377 & 0.635247 & 0.317623 \tabularnewline
137 & 0.683946 & 0.632107 & 0.316054 \tabularnewline
138 & 0.796772 & 0.406457 & 0.203228 \tabularnewline
139 & 0.788179 & 0.423641 & 0.211821 \tabularnewline
140 & 0.814546 & 0.370908 & 0.185454 \tabularnewline
141 & 0.80414 & 0.39172 & 0.19586 \tabularnewline
142 & 0.780718 & 0.438564 & 0.219282 \tabularnewline
143 & 0.769618 & 0.460764 & 0.230382 \tabularnewline
144 & 0.773086 & 0.453827 & 0.226914 \tabularnewline
145 & 0.759631 & 0.480738 & 0.240369 \tabularnewline
146 & 0.753844 & 0.492313 & 0.246156 \tabularnewline
147 & 0.757842 & 0.484316 & 0.242158 \tabularnewline
148 & 0.777338 & 0.445324 & 0.222662 \tabularnewline
149 & 0.766936 & 0.466128 & 0.233064 \tabularnewline
150 & 0.742594 & 0.514811 & 0.257406 \tabularnewline
151 & 0.719342 & 0.561315 & 0.280658 \tabularnewline
152 & 0.763917 & 0.472167 & 0.236083 \tabularnewline
153 & 0.749138 & 0.501724 & 0.250862 \tabularnewline
154 & 0.721607 & 0.556785 & 0.278393 \tabularnewline
155 & 0.703808 & 0.592385 & 0.296192 \tabularnewline
156 & 0.697781 & 0.604438 & 0.302219 \tabularnewline
157 & 0.699347 & 0.601306 & 0.300653 \tabularnewline
158 & 0.72342 & 0.553159 & 0.27658 \tabularnewline
159 & 0.728943 & 0.542113 & 0.271057 \tabularnewline
160 & 0.710959 & 0.578083 & 0.289041 \tabularnewline
161 & 0.717523 & 0.564954 & 0.282477 \tabularnewline
162 & 0.707847 & 0.584306 & 0.292153 \tabularnewline
163 & 0.685212 & 0.629577 & 0.314788 \tabularnewline
164 & 0.919201 & 0.161599 & 0.0807994 \tabularnewline
165 & 0.936476 & 0.127048 & 0.063524 \tabularnewline
166 & 0.926153 & 0.147694 & 0.0738472 \tabularnewline
167 & 0.927183 & 0.145634 & 0.0728171 \tabularnewline
168 & 0.925373 & 0.149253 & 0.0746267 \tabularnewline
169 & 0.921289 & 0.157422 & 0.0787109 \tabularnewline
170 & 0.914593 & 0.170815 & 0.0854073 \tabularnewline
171 & 0.908826 & 0.182348 & 0.0911739 \tabularnewline
172 & 0.905856 & 0.188288 & 0.0941441 \tabularnewline
173 & 0.928114 & 0.143772 & 0.0718858 \tabularnewline
174 & 0.915409 & 0.169181 & 0.0845905 \tabularnewline
175 & 0.901025 & 0.197951 & 0.0989753 \tabularnewline
176 & 0.895804 & 0.208391 & 0.104196 \tabularnewline
177 & 0.901973 & 0.196054 & 0.0980269 \tabularnewline
178 & 0.895536 & 0.208929 & 0.104464 \tabularnewline
179 & 0.925616 & 0.148768 & 0.0743841 \tabularnewline
180 & 0.958252 & 0.083497 & 0.0417485 \tabularnewline
181 & 0.952087 & 0.0958257 & 0.0479129 \tabularnewline
182 & 0.959951 & 0.0800971 & 0.0400486 \tabularnewline
183 & 0.959835 & 0.0803309 & 0.0401655 \tabularnewline
184 & 0.957508 & 0.0849831 & 0.0424916 \tabularnewline
185 & 0.984624 & 0.0307524 & 0.0153762 \tabularnewline
186 & 0.983368 & 0.0332642 & 0.0166321 \tabularnewline
187 & 0.982336 & 0.0353278 & 0.0176639 \tabularnewline
188 & 0.985154 & 0.029692 & 0.014846 \tabularnewline
189 & 0.989979 & 0.0200422 & 0.0100211 \tabularnewline
190 & 0.987325 & 0.0253491 & 0.0126745 \tabularnewline
191 & 0.984587 & 0.0308268 & 0.0154134 \tabularnewline
192 & 0.984568 & 0.0308632 & 0.0154316 \tabularnewline
193 & 0.984376 & 0.031249 & 0.0156245 \tabularnewline
194 & 0.982459 & 0.0350825 & 0.0175413 \tabularnewline
195 & 0.979105 & 0.0417902 & 0.0208951 \tabularnewline
196 & 0.974294 & 0.0514128 & 0.0257064 \tabularnewline
197 & 0.969471 & 0.0610575 & 0.0305288 \tabularnewline
198 & 0.965054 & 0.0698913 & 0.0349456 \tabularnewline
199 & 0.957638 & 0.0847238 & 0.0423619 \tabularnewline
200 & 0.954695 & 0.0906101 & 0.045305 \tabularnewline
201 & 0.947478 & 0.105044 & 0.052522 \tabularnewline
202 & 0.936768 & 0.126464 & 0.0632318 \tabularnewline
203 & 0.925798 & 0.148405 & 0.0742023 \tabularnewline
204 & 0.934386 & 0.131228 & 0.065614 \tabularnewline
205 & 0.927136 & 0.145728 & 0.0728639 \tabularnewline
206 & 0.913641 & 0.172718 & 0.0863591 \tabularnewline
207 & 0.974637 & 0.0507268 & 0.0253634 \tabularnewline
208 & 0.967988 & 0.0640244 & 0.0320122 \tabularnewline
209 & 0.967583 & 0.0648348 & 0.0324174 \tabularnewline
210 & 0.96108 & 0.0778395 & 0.0389198 \tabularnewline
211 & 0.952337 & 0.0953254 & 0.0476627 \tabularnewline
212 & 0.942043 & 0.115913 & 0.0579567 \tabularnewline
213 & 0.957306 & 0.0853888 & 0.0426944 \tabularnewline
214 & 0.95157 & 0.0968593 & 0.0484296 \tabularnewline
215 & 0.946382 & 0.107237 & 0.0536184 \tabularnewline
216 & 0.955987 & 0.0880264 & 0.0440132 \tabularnewline
217 & 0.947673 & 0.104653 & 0.0523265 \tabularnewline
218 & 0.937086 & 0.125828 & 0.0629142 \tabularnewline
219 & 0.922597 & 0.154807 & 0.0774035 \tabularnewline
220 & 0.914198 & 0.171604 & 0.0858021 \tabularnewline
221 & 0.914726 & 0.170548 & 0.0852738 \tabularnewline
222 & 0.90078 & 0.198439 & 0.0992196 \tabularnewline
223 & 0.895254 & 0.209493 & 0.104746 \tabularnewline
224 & 0.877484 & 0.245033 & 0.122516 \tabularnewline
225 & 0.85776 & 0.28448 & 0.14224 \tabularnewline
226 & 0.832776 & 0.334448 & 0.167224 \tabularnewline
227 & 0.809356 & 0.381288 & 0.190644 \tabularnewline
228 & 0.778959 & 0.442082 & 0.221041 \tabularnewline
229 & 0.862402 & 0.275196 & 0.137598 \tabularnewline
230 & 0.858792 & 0.282417 & 0.141208 \tabularnewline
231 & 0.839241 & 0.321517 & 0.160759 \tabularnewline
232 & 0.919113 & 0.161774 & 0.0808868 \tabularnewline
233 & 0.911132 & 0.177736 & 0.0888679 \tabularnewline
234 & 0.89461 & 0.21078 & 0.10539 \tabularnewline
235 & 0.883006 & 0.233987 & 0.116994 \tabularnewline
236 & 0.90204 & 0.19592 & 0.0979598 \tabularnewline
237 & 0.878039 & 0.243921 & 0.121961 \tabularnewline
238 & 0.884267 & 0.231467 & 0.115733 \tabularnewline
239 & 0.972635 & 0.0547298 & 0.0273649 \tabularnewline
240 & 0.965836 & 0.0683278 & 0.0341639 \tabularnewline
241 & 0.979072 & 0.0418564 & 0.0209282 \tabularnewline
242 & 0.970921 & 0.0581582 & 0.0290791 \tabularnewline
243 & 0.962673 & 0.0746537 & 0.0373268 \tabularnewline
244 & 0.95486 & 0.0902796 & 0.0451398 \tabularnewline
245 & 0.944814 & 0.110373 & 0.0551865 \tabularnewline
246 & 0.939242 & 0.121515 & 0.0607577 \tabularnewline
247 & 0.925237 & 0.149526 & 0.074763 \tabularnewline
248 & 0.952934 & 0.0941313 & 0.0470657 \tabularnewline
249 & 0.972323 & 0.0553531 & 0.0276766 \tabularnewline
250 & 0.970593 & 0.0588149 & 0.0294074 \tabularnewline
251 & 0.964336 & 0.0713286 & 0.0356643 \tabularnewline
252 & 0.997721 & 0.00455806 & 0.00227903 \tabularnewline
253 & 0.99611 & 0.00777914 & 0.00388957 \tabularnewline
254 & 0.993977 & 0.0120457 & 0.00602283 \tabularnewline
255 & 0.991497 & 0.0170065 & 0.00850327 \tabularnewline
256 & 0.986454 & 0.0270923 & 0.0135462 \tabularnewline
257 & 0.981604 & 0.0367914 & 0.0183957 \tabularnewline
258 & 0.997067 & 0.00586561 & 0.00293281 \tabularnewline
259 & 0.994495 & 0.0110106 & 0.00550528 \tabularnewline
260 & 0.992742 & 0.0145167 & 0.00725837 \tabularnewline
261 & 0.987844 & 0.0243115 & 0.0121558 \tabularnewline
262 & 0.980211 & 0.0395778 & 0.0197889 \tabularnewline
263 & 0.980915 & 0.0381705 & 0.0190853 \tabularnewline
264 & 0.969929 & 0.0601417 & 0.0300708 \tabularnewline
265 & 0.948488 & 0.103024 & 0.0515122 \tabularnewline
266 & 0.934436 & 0.131128 & 0.0655642 \tabularnewline
267 & 0.929427 & 0.141145 & 0.0705725 \tabularnewline
268 & 0.924342 & 0.151315 & 0.0756576 \tabularnewline
269 & 0.909996 & 0.180008 & 0.0900039 \tabularnewline
270 & 0.821847 & 0.356307 & 0.178153 \tabularnewline
271 & 0.680304 & 0.639392 & 0.319696 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=271043&T=5

[TABLE]
[ROW][C]Goldfeld-Quandt test for Heteroskedasticity[/C][/ROW]
[ROW][C]p-values[/C][C]Alternative Hypothesis[/C][/ROW]
[ROW][C]breakpoint index[/C][C]greater[/C][C]2-sided[/C][C]less[/C][/ROW]
[ROW][C]7[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]8[/C][C]3.82029e-61[/C][C]7.64058e-61[/C][C]1[/C][/ROW]
[ROW][C]9[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]10[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]11[/C][C]1.75945e-106[/C][C]3.5189e-106[/C][C]1[/C][/ROW]
[ROW][C]12[/C][C]3.43945e-119[/C][C]6.87889e-119[/C][C]1[/C][/ROW]
[ROW][C]13[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]14[/C][C]0[/C][C]0[/C][C]1[/C][/ROW]
[ROW][C]15[/C][C]7.17056e-167[/C][C]1.43411e-166[/C][C]1[/C][/ROW]
[ROW][C]16[/C][C]0.0195974[/C][C]0.0391949[/C][C]0.980403[/C][/ROW]
[ROW][C]17[/C][C]0.0105743[/C][C]0.0211487[/C][C]0.989426[/C][/ROW]
[ROW][C]18[/C][C]0.00598074[/C][C]0.0119615[/C][C]0.994019[/C][/ROW]
[ROW][C]19[/C][C]0.107464[/C][C]0.214928[/C][C]0.892536[/C][/ROW]
[ROW][C]20[/C][C]0.0815746[/C][C]0.163149[/C][C]0.918425[/C][/ROW]
[ROW][C]21[/C][C]0.0561722[/C][C]0.112344[/C][C]0.943828[/C][/ROW]
[ROW][C]22[/C][C]0.0384393[/C][C]0.0768787[/C][C]0.961561[/C][/ROW]
[ROW][C]23[/C][C]0.0252517[/C][C]0.0505034[/C][C]0.974748[/C][/ROW]
[ROW][C]24[/C][C]0.0160396[/C][C]0.0320793[/C][C]0.98396[/C][/ROW]
[ROW][C]25[/C][C]0.0103271[/C][C]0.0206541[/C][C]0.989673[/C][/ROW]
[ROW][C]26[/C][C]0.00671972[/C][C]0.0134394[/C][C]0.99328[/C][/ROW]
[ROW][C]27[/C][C]0.0346692[/C][C]0.0693383[/C][C]0.965331[/C][/ROW]
[ROW][C]28[/C][C]0.0644902[/C][C]0.12898[/C][C]0.93551[/C][/ROW]
[ROW][C]29[/C][C]0.0475404[/C][C]0.0950807[/C][C]0.95246[/C][/ROW]
[ROW][C]30[/C][C]0.035051[/C][C]0.0701019[/C][C]0.964949[/C][/ROW]
[ROW][C]31[/C][C]0.0287565[/C][C]0.057513[/C][C]0.971244[/C][/ROW]
[ROW][C]32[/C][C]0.0207249[/C][C]0.0414497[/C][C]0.979275[/C][/ROW]
[ROW][C]33[/C][C]0.0147104[/C][C]0.0294208[/C][C]0.98529[/C][/ROW]
[ROW][C]34[/C][C]0.0101633[/C][C]0.0203265[/C][C]0.989837[/C][/ROW]
[ROW][C]35[/C][C]0.00870309[/C][C]0.0174062[/C][C]0.991297[/C][/ROW]
[ROW][C]36[/C][C]0.0074542[/C][C]0.0149084[/C][C]0.992546[/C][/ROW]
[ROW][C]37[/C][C]0.0050234[/C][C]0.0100468[/C][C]0.994977[/C][/ROW]
[ROW][C]38[/C][C]0.0170228[/C][C]0.0340457[/C][C]0.982977[/C][/ROW]
[ROW][C]39[/C][C]0.0120312[/C][C]0.0240624[/C][C]0.987969[/C][/ROW]
[ROW][C]40[/C][C]0.00888172[/C][C]0.0177634[/C][C]0.991118[/C][/ROW]
[ROW][C]41[/C][C]0.00645274[/C][C]0.0129055[/C][C]0.993547[/C][/ROW]
[ROW][C]42[/C][C]0.00480252[/C][C]0.00960505[/C][C]0.995197[/C][/ROW]
[ROW][C]43[/C][C]0.00357746[/C][C]0.00715492[/C][C]0.996423[/C][/ROW]
[ROW][C]44[/C][C]0.00242488[/C][C]0.00484976[/C][C]0.997575[/C][/ROW]
[ROW][C]45[/C][C]0.00319679[/C][C]0.00639357[/C][C]0.996803[/C][/ROW]
[ROW][C]46[/C][C]0.00213833[/C][C]0.00427665[/C][C]0.997862[/C][/ROW]
[ROW][C]47[/C][C]0.00209237[/C][C]0.00418474[/C][C]0.997908[/C][/ROW]
[ROW][C]48[/C][C]0.00679699[/C][C]0.013594[/C][C]0.993203[/C][/ROW]
[ROW][C]49[/C][C]0.00691322[/C][C]0.0138264[/C][C]0.993087[/C][/ROW]
[ROW][C]50[/C][C]0.00977303[/C][C]0.0195461[/C][C]0.990227[/C][/ROW]
[ROW][C]51[/C][C]0.0186579[/C][C]0.0373157[/C][C]0.981342[/C][/ROW]
[ROW][C]52[/C][C]0.0216292[/C][C]0.0432583[/C][C]0.978371[/C][/ROW]
[ROW][C]53[/C][C]0.0169074[/C][C]0.0338149[/C][C]0.983093[/C][/ROW]
[ROW][C]54[/C][C]0.0432278[/C][C]0.0864557[/C][C]0.956772[/C][/ROW]
[ROW][C]55[/C][C]0.0435814[/C][C]0.0871628[/C][C]0.956419[/C][/ROW]
[ROW][C]56[/C][C]0.0404286[/C][C]0.0808572[/C][C]0.959571[/C][/ROW]
[ROW][C]57[/C][C]0.0945468[/C][C]0.189094[/C][C]0.905453[/C][/ROW]
[ROW][C]58[/C][C]0.0877797[/C][C]0.175559[/C][C]0.91222[/C][/ROW]
[ROW][C]59[/C][C]0.0834446[/C][C]0.166889[/C][C]0.916555[/C][/ROW]
[ROW][C]60[/C][C]0.0887634[/C][C]0.177527[/C][C]0.911237[/C][/ROW]
[ROW][C]61[/C][C]0.0734423[/C][C]0.146885[/C][C]0.926558[/C][/ROW]
[ROW][C]62[/C][C]0.0615511[/C][C]0.123102[/C][C]0.938449[/C][/ROW]
[ROW][C]63[/C][C]0.0619253[/C][C]0.123851[/C][C]0.938075[/C][/ROW]
[ROW][C]64[/C][C]0.0498226[/C][C]0.0996451[/C][C]0.950177[/C][/ROW]
[ROW][C]65[/C][C]0.0400856[/C][C]0.0801712[/C][C]0.959914[/C][/ROW]
[ROW][C]66[/C][C]0.0395722[/C][C]0.0791445[/C][C]0.960428[/C][/ROW]
[ROW][C]67[/C][C]0.0317547[/C][C]0.0635093[/C][C]0.968245[/C][/ROW]
[ROW][C]68[/C][C]0.0256908[/C][C]0.0513816[/C][C]0.974309[/C][/ROW]
[ROW][C]69[/C][C]0.0201348[/C][C]0.0402697[/C][C]0.979865[/C][/ROW]
[ROW][C]70[/C][C]0.0235205[/C][C]0.0470409[/C][C]0.97648[/C][/ROW]
[ROW][C]71[/C][C]0.0186558[/C][C]0.0373116[/C][C]0.981344[/C][/ROW]
[ROW][C]72[/C][C]0.0177494[/C][C]0.0354987[/C][C]0.982251[/C][/ROW]
[ROW][C]73[/C][C]0.0183728[/C][C]0.0367457[/C][C]0.981627[/C][/ROW]
[ROW][C]74[/C][C]0.0182332[/C][C]0.0364664[/C][C]0.981767[/C][/ROW]
[ROW][C]75[/C][C]0.0165972[/C][C]0.0331943[/C][C]0.983403[/C][/ROW]
[ROW][C]76[/C][C]0.0136264[/C][C]0.0272528[/C][C]0.986374[/C][/ROW]
[ROW][C]77[/C][C]0.0156098[/C][C]0.0312196[/C][C]0.98439[/C][/ROW]
[ROW][C]78[/C][C]0.0130145[/C][C]0.0260289[/C][C]0.986986[/C][/ROW]
[ROW][C]79[/C][C]0.0121649[/C][C]0.0243297[/C][C]0.987835[/C][/ROW]
[ROW][C]80[/C][C]0.012205[/C][C]0.0244101[/C][C]0.987795[/C][/ROW]
[ROW][C]81[/C][C]0.0132352[/C][C]0.0264703[/C][C]0.986765[/C][/ROW]
[ROW][C]82[/C][C]0.0150073[/C][C]0.0300147[/C][C]0.984993[/C][/ROW]
[ROW][C]83[/C][C]0.0144424[/C][C]0.0288849[/C][C]0.985558[/C][/ROW]
[ROW][C]84[/C][C]0.0199309[/C][C]0.0398617[/C][C]0.980069[/C][/ROW]
[ROW][C]85[/C][C]0.0277759[/C][C]0.0555517[/C][C]0.972224[/C][/ROW]
[ROW][C]86[/C][C]0.029197[/C][C]0.0583939[/C][C]0.970803[/C][/ROW]
[ROW][C]87[/C][C]0.0259087[/C][C]0.0518173[/C][C]0.974091[/C][/ROW]
[ROW][C]88[/C][C]0.0221095[/C][C]0.0442189[/C][C]0.977891[/C][/ROW]
[ROW][C]89[/C][C]0.0221314[/C][C]0.0442629[/C][C]0.977869[/C][/ROW]
[ROW][C]90[/C][C]0.0278223[/C][C]0.0556446[/C][C]0.972178[/C][/ROW]
[ROW][C]91[/C][C]0.0232337[/C][C]0.0464673[/C][C]0.976766[/C][/ROW]
[ROW][C]92[/C][C]0.0312657[/C][C]0.0625315[/C][C]0.968734[/C][/ROW]
[ROW][C]93[/C][C]0.0456016[/C][C]0.0912032[/C][C]0.954398[/C][/ROW]
[ROW][C]94[/C][C]0.0448232[/C][C]0.0896464[/C][C]0.955177[/C][/ROW]
[ROW][C]95[/C][C]0.0458401[/C][C]0.0916803[/C][C]0.95416[/C][/ROW]
[ROW][C]96[/C][C]0.0534741[/C][C]0.106948[/C][C]0.946526[/C][/ROW]
[ROW][C]97[/C][C]0.0690347[/C][C]0.138069[/C][C]0.930965[/C][/ROW]
[ROW][C]98[/C][C]0.0655411[/C][C]0.131082[/C][C]0.934459[/C][/ROW]
[ROW][C]99[/C][C]0.0594943[/C][C]0.118989[/C][C]0.940506[/C][/ROW]
[ROW][C]100[/C][C]0.0679011[/C][C]0.135802[/C][C]0.932099[/C][/ROW]
[ROW][C]101[/C][C]0.0586141[/C][C]0.117228[/C][C]0.941386[/C][/ROW]
[ROW][C]102[/C][C]0.0583614[/C][C]0.116723[/C][C]0.941639[/C][/ROW]
[ROW][C]103[/C][C]0.0548418[/C][C]0.109684[/C][C]0.945158[/C][/ROW]
[ROW][C]104[/C][C]0.0709229[/C][C]0.141846[/C][C]0.929077[/C][/ROW]
[ROW][C]105[/C][C]0.0646825[/C][C]0.129365[/C][C]0.935317[/C][/ROW]
[ROW][C]106[/C][C]0.0680828[/C][C]0.136166[/C][C]0.931917[/C][/ROW]
[ROW][C]107[/C][C]0.0637848[/C][C]0.12757[/C][C]0.936215[/C][/ROW]
[ROW][C]108[/C][C]0.0693818[/C][C]0.138764[/C][C]0.930618[/C][/ROW]
[ROW][C]109[/C][C]0.0612174[/C][C]0.122435[/C][C]0.938783[/C][/ROW]
[ROW][C]110[/C][C]0.0622737[/C][C]0.124547[/C][C]0.937726[/C][/ROW]
[ROW][C]111[/C][C]0.0697268[/C][C]0.139454[/C][C]0.930273[/C][/ROW]
[ROW][C]112[/C][C]0.0695812[/C][C]0.139162[/C][C]0.930419[/C][/ROW]
[ROW][C]113[/C][C]0.116308[/C][C]0.232616[/C][C]0.883692[/C][/ROW]
[ROW][C]114[/C][C]0.226762[/C][C]0.453523[/C][C]0.773238[/C][/ROW]
[ROW][C]115[/C][C]0.226565[/C][C]0.453131[/C][C]0.773435[/C][/ROW]
[ROW][C]116[/C][C]0.219064[/C][C]0.438129[/C][C]0.780936[/C][/ROW]
[ROW][C]117[/C][C]0.217651[/C][C]0.435301[/C][C]0.782349[/C][/ROW]
[ROW][C]118[/C][C]0.197746[/C][C]0.395492[/C][C]0.802254[/C][/ROW]
[ROW][C]119[/C][C]0.174284[/C][C]0.348567[/C][C]0.825716[/C][/ROW]
[ROW][C]120[/C][C]0.166493[/C][C]0.332985[/C][C]0.833507[/C][/ROW]
[ROW][C]121[/C][C]0.159638[/C][C]0.319276[/C][C]0.840362[/C][/ROW]
[ROW][C]122[/C][C]0.241331[/C][C]0.482663[/C][C]0.758669[/C][/ROW]
[ROW][C]123[/C][C]0.235315[/C][C]0.47063[/C][C]0.764685[/C][/ROW]
[ROW][C]124[/C][C]0.402692[/C][C]0.805384[/C][C]0.597308[/C][/ROW]
[ROW][C]125[/C][C]0.423052[/C][C]0.846103[/C][C]0.576948[/C][/ROW]
[ROW][C]126[/C][C]0.432997[/C][C]0.865994[/C][C]0.567003[/C][/ROW]
[ROW][C]127[/C][C]0.421086[/C][C]0.842172[/C][C]0.578914[/C][/ROW]
[ROW][C]128[/C][C]0.479361[/C][C]0.958721[/C][C]0.520639[/C][/ROW]
[ROW][C]129[/C][C]0.501121[/C][C]0.997758[/C][C]0.498879[/C][/ROW]
[ROW][C]130[/C][C]0.530529[/C][C]0.938943[/C][C]0.469471[/C][/ROW]
[ROW][C]131[/C][C]0.537254[/C][C]0.925491[/C][C]0.462746[/C][/ROW]
[ROW][C]132[/C][C]0.520539[/C][C]0.958921[/C][C]0.479461[/C][/ROW]
[ROW][C]133[/C][C]0.534848[/C][C]0.930304[/C][C]0.465152[/C][/ROW]
[ROW][C]134[/C][C]0.561041[/C][C]0.877919[/C][C]0.438959[/C][/ROW]
[ROW][C]135[/C][C]0.622181[/C][C]0.755638[/C][C]0.377819[/C][/ROW]
[ROW][C]136[/C][C]0.682377[/C][C]0.635247[/C][C]0.317623[/C][/ROW]
[ROW][C]137[/C][C]0.683946[/C][C]0.632107[/C][C]0.316054[/C][/ROW]
[ROW][C]138[/C][C]0.796772[/C][C]0.406457[/C][C]0.203228[/C][/ROW]
[ROW][C]139[/C][C]0.788179[/C][C]0.423641[/C][C]0.211821[/C][/ROW]
[ROW][C]140[/C][C]0.814546[/C][C]0.370908[/C][C]0.185454[/C][/ROW]
[ROW][C]141[/C][C]0.80414[/C][C]0.39172[/C][C]0.19586[/C][/ROW]
[ROW][C]142[/C][C]0.780718[/C][C]0.438564[/C][C]0.219282[/C][/ROW]
[ROW][C]143[/C][C]0.769618[/C][C]0.460764[/C][C]0.230382[/C][/ROW]
[ROW][C]144[/C][C]0.773086[/C][C]0.453827[/C][C]0.226914[/C][/ROW]
[ROW][C]145[/C][C]0.759631[/C][C]0.480738[/C][C]0.240369[/C][/ROW]
[ROW][C]146[/C][C]0.753844[/C][C]0.492313[/C][C]0.246156[/C][/ROW]
[ROW][C]147[/C][C]0.757842[/C][C]0.484316[/C][C]0.242158[/C][/ROW]
[ROW][C]148[/C][C]0.777338[/C][C]0.445324[/C][C]0.222662[/C][/ROW]
[ROW][C]149[/C][C]0.766936[/C][C]0.466128[/C][C]0.233064[/C][/ROW]
[ROW][C]150[/C][C]0.742594[/C][C]0.514811[/C][C]0.257406[/C][/ROW]
[ROW][C]151[/C][C]0.719342[/C][C]0.561315[/C][C]0.280658[/C][/ROW]
[ROW][C]152[/C][C]0.763917[/C][C]0.472167[/C][C]0.236083[/C][/ROW]
[ROW][C]153[/C][C]0.749138[/C][C]0.501724[/C][C]0.250862[/C][/ROW]
[ROW][C]154[/C][C]0.721607[/C][C]0.556785[/C][C]0.278393[/C][/ROW]
[ROW][C]155[/C][C]0.703808[/C][C]0.592385[/C][C]0.296192[/C][/ROW]
[ROW][C]156[/C][C]0.697781[/C][C]0.604438[/C][C]0.302219[/C][/ROW]
[ROW][C]157[/C][C]0.699347[/C][C]0.601306[/C][C]0.300653[/C][/ROW]
[ROW][C]158[/C][C]0.72342[/C][C]0.553159[/C][C]0.27658[/C][/ROW]
[ROW][C]159[/C][C]0.728943[/C][C]0.542113[/C][C]0.271057[/C][/ROW]
[ROW][C]160[/C][C]0.710959[/C][C]0.578083[/C][C]0.289041[/C][/ROW]
[ROW][C]161[/C][C]0.717523[/C][C]0.564954[/C][C]0.282477[/C][/ROW]
[ROW][C]162[/C][C]0.707847[/C][C]0.584306[/C][C]0.292153[/C][/ROW]
[ROW][C]163[/C][C]0.685212[/C][C]0.629577[/C][C]0.314788[/C][/ROW]
[ROW][C]164[/C][C]0.919201[/C][C]0.161599[/C][C]0.0807994[/C][/ROW]
[ROW][C]165[/C][C]0.936476[/C][C]0.127048[/C][C]0.063524[/C][/ROW]
[ROW][C]166[/C][C]0.926153[/C][C]0.147694[/C][C]0.0738472[/C][/ROW]
[ROW][C]167[/C][C]0.927183[/C][C]0.145634[/C][C]0.0728171[/C][/ROW]
[ROW][C]168[/C][C]0.925373[/C][C]0.149253[/C][C]0.0746267[/C][/ROW]
[ROW][C]169[/C][C]0.921289[/C][C]0.157422[/C][C]0.0787109[/C][/ROW]
[ROW][C]170[/C][C]0.914593[/C][C]0.170815[/C][C]0.0854073[/C][/ROW]
[ROW][C]171[/C][C]0.908826[/C][C]0.182348[/C][C]0.0911739[/C][/ROW]
[ROW][C]172[/C][C]0.905856[/C][C]0.188288[/C][C]0.0941441[/C][/ROW]
[ROW][C]173[/C][C]0.928114[/C][C]0.143772[/C][C]0.0718858[/C][/ROW]
[ROW][C]174[/C][C]0.915409[/C][C]0.169181[/C][C]0.0845905[/C][/ROW]
[ROW][C]175[/C][C]0.901025[/C][C]0.197951[/C][C]0.0989753[/C][/ROW]
[ROW][C]176[/C][C]0.895804[/C][C]0.208391[/C][C]0.104196[/C][/ROW]
[ROW][C]177[/C][C]0.901973[/C][C]0.196054[/C][C]0.0980269[/C][/ROW]
[ROW][C]178[/C][C]0.895536[/C][C]0.208929[/C][C]0.104464[/C][/ROW]
[ROW][C]179[/C][C]0.925616[/C][C]0.148768[/C][C]0.0743841[/C][/ROW]
[ROW][C]180[/C][C]0.958252[/C][C]0.083497[/C][C]0.0417485[/C][/ROW]
[ROW][C]181[/C][C]0.952087[/C][C]0.0958257[/C][C]0.0479129[/C][/ROW]
[ROW][C]182[/C][C]0.959951[/C][C]0.0800971[/C][C]0.0400486[/C][/ROW]
[ROW][C]183[/C][C]0.959835[/C][C]0.0803309[/C][C]0.0401655[/C][/ROW]
[ROW][C]184[/C][C]0.957508[/C][C]0.0849831[/C][C]0.0424916[/C][/ROW]
[ROW][C]185[/C][C]0.984624[/C][C]0.0307524[/C][C]0.0153762[/C][/ROW]
[ROW][C]186[/C][C]0.983368[/C][C]0.0332642[/C][C]0.0166321[/C][/ROW]
[ROW][C]187[/C][C]0.982336[/C][C]0.0353278[/C][C]0.0176639[/C][/ROW]
[ROW][C]188[/C][C]0.985154[/C][C]0.029692[/C][C]0.014846[/C][/ROW]
[ROW][C]189[/C][C]0.989979[/C][C]0.0200422[/C][C]0.0100211[/C][/ROW]
[ROW][C]190[/C][C]0.987325[/C][C]0.0253491[/C][C]0.0126745[/C][/ROW]
[ROW][C]191[/C][C]0.984587[/C][C]0.0308268[/C][C]0.0154134[/C][/ROW]
[ROW][C]192[/C][C]0.984568[/C][C]0.0308632[/C][C]0.0154316[/C][/ROW]
[ROW][C]193[/C][C]0.984376[/C][C]0.031249[/C][C]0.0156245[/C][/ROW]
[ROW][C]194[/C][C]0.982459[/C][C]0.0350825[/C][C]0.0175413[/C][/ROW]
[ROW][C]195[/C][C]0.979105[/C][C]0.0417902[/C][C]0.0208951[/C][/ROW]
[ROW][C]196[/C][C]0.974294[/C][C]0.0514128[/C][C]0.0257064[/C][/ROW]
[ROW][C]197[/C][C]0.969471[/C][C]0.0610575[/C][C]0.0305288[/C][/ROW]
[ROW][C]198[/C][C]0.965054[/C][C]0.0698913[/C][C]0.0349456[/C][/ROW]
[ROW][C]199[/C][C]0.957638[/C][C]0.0847238[/C][C]0.0423619[/C][/ROW]
[ROW][C]200[/C][C]0.954695[/C][C]0.0906101[/C][C]0.045305[/C][/ROW]
[ROW][C]201[/C][C]0.947478[/C][C]0.105044[/C][C]0.052522[/C][/ROW]
[ROW][C]202[/C][C]0.936768[/C][C]0.126464[/C][C]0.0632318[/C][/ROW]
[ROW][C]203[/C][C]0.925798[/C][C]0.148405[/C][C]0.0742023[/C][/ROW]
[ROW][C]204[/C][C]0.934386[/C][C]0.131228[/C][C]0.065614[/C][/ROW]
[ROW][C]205[/C][C]0.927136[/C][C]0.145728[/C][C]0.0728639[/C][/ROW]
[ROW][C]206[/C][C]0.913641[/C][C]0.172718[/C][C]0.0863591[/C][/ROW]
[ROW][C]207[/C][C]0.974637[/C][C]0.0507268[/C][C]0.0253634[/C][/ROW]
[ROW][C]208[/C][C]0.967988[/C][C]0.0640244[/C][C]0.0320122[/C][/ROW]
[ROW][C]209[/C][C]0.967583[/C][C]0.0648348[/C][C]0.0324174[/C][/ROW]
[ROW][C]210[/C][C]0.96108[/C][C]0.0778395[/C][C]0.0389198[/C][/ROW]
[ROW][C]211[/C][C]0.952337[/C][C]0.0953254[/C][C]0.0476627[/C][/ROW]
[ROW][C]212[/C][C]0.942043[/C][C]0.115913[/C][C]0.0579567[/C][/ROW]
[ROW][C]213[/C][C]0.957306[/C][C]0.0853888[/C][C]0.0426944[/C][/ROW]
[ROW][C]214[/C][C]0.95157[/C][C]0.0968593[/C][C]0.0484296[/C][/ROW]
[ROW][C]215[/C][C]0.946382[/C][C]0.107237[/C][C]0.0536184[/C][/ROW]
[ROW][C]216[/C][C]0.955987[/C][C]0.0880264[/C][C]0.0440132[/C][/ROW]
[ROW][C]217[/C][C]0.947673[/C][C]0.104653[/C][C]0.0523265[/C][/ROW]
[ROW][C]218[/C][C]0.937086[/C][C]0.125828[/C][C]0.0629142[/C][/ROW]
[ROW][C]219[/C][C]0.922597[/C][C]0.154807[/C][C]0.0774035[/C][/ROW]
[ROW][C]220[/C][C]0.914198[/C][C]0.171604[/C][C]0.0858021[/C][/ROW]
[ROW][C]221[/C][C]0.914726[/C][C]0.170548[/C][C]0.0852738[/C][/ROW]
[ROW][C]222[/C][C]0.90078[/C][C]0.198439[/C][C]0.0992196[/C][/ROW]
[ROW][C]223[/C][C]0.895254[/C][C]0.209493[/C][C]0.104746[/C][/ROW]
[ROW][C]224[/C][C]0.877484[/C][C]0.245033[/C][C]0.122516[/C][/ROW]
[ROW][C]225[/C][C]0.85776[/C][C]0.28448[/C][C]0.14224[/C][/ROW]
[ROW][C]226[/C][C]0.832776[/C][C]0.334448[/C][C]0.167224[/C][/ROW]
[ROW][C]227[/C][C]0.809356[/C][C]0.381288[/C][C]0.190644[/C][/ROW]
[ROW][C]228[/C][C]0.778959[/C][C]0.442082[/C][C]0.221041[/C][/ROW]
[ROW][C]229[/C][C]0.862402[/C][C]0.275196[/C][C]0.137598[/C][/ROW]
[ROW][C]230[/C][C]0.858792[/C][C]0.282417[/C][C]0.141208[/C][/ROW]
[ROW][C]231[/C][C]0.839241[/C][C]0.321517[/C][C]0.160759[/C][/ROW]
[ROW][C]232[/C][C]0.919113[/C][C]0.161774[/C][C]0.0808868[/C][/ROW]
[ROW][C]233[/C][C]0.911132[/C][C]0.177736[/C][C]0.0888679[/C][/ROW]
[ROW][C]234[/C][C]0.89461[/C][C]0.21078[/C][C]0.10539[/C][/ROW]
[ROW][C]235[/C][C]0.883006[/C][C]0.233987[/C][C]0.116994[/C][/ROW]
[ROW][C]236[/C][C]0.90204[/C][C]0.19592[/C][C]0.0979598[/C][/ROW]
[ROW][C]237[/C][C]0.878039[/C][C]0.243921[/C][C]0.121961[/C][/ROW]
[ROW][C]238[/C][C]0.884267[/C][C]0.231467[/C][C]0.115733[/C][/ROW]
[ROW][C]239[/C][C]0.972635[/C][C]0.0547298[/C][C]0.0273649[/C][/ROW]
[ROW][C]240[/C][C]0.965836[/C][C]0.0683278[/C][C]0.0341639[/C][/ROW]
[ROW][C]241[/C][C]0.979072[/C][C]0.0418564[/C][C]0.0209282[/C][/ROW]
[ROW][C]242[/C][C]0.970921[/C][C]0.0581582[/C][C]0.0290791[/C][/ROW]
[ROW][C]243[/C][C]0.962673[/C][C]0.0746537[/C][C]0.0373268[/C][/ROW]
[ROW][C]244[/C][C]0.95486[/C][C]0.0902796[/C][C]0.0451398[/C][/ROW]
[ROW][C]245[/C][C]0.944814[/C][C]0.110373[/C][C]0.0551865[/C][/ROW]
[ROW][C]246[/C][C]0.939242[/C][C]0.121515[/C][C]0.0607577[/C][/ROW]
[ROW][C]247[/C][C]0.925237[/C][C]0.149526[/C][C]0.074763[/C][/ROW]
[ROW][C]248[/C][C]0.952934[/C][C]0.0941313[/C][C]0.0470657[/C][/ROW]
[ROW][C]249[/C][C]0.972323[/C][C]0.0553531[/C][C]0.0276766[/C][/ROW]
[ROW][C]250[/C][C]0.970593[/C][C]0.0588149[/C][C]0.0294074[/C][/ROW]
[ROW][C]251[/C][C]0.964336[/C][C]0.0713286[/C][C]0.0356643[/C][/ROW]
[ROW][C]252[/C][C]0.997721[/C][C]0.00455806[/C][C]0.00227903[/C][/ROW]
[ROW][C]253[/C][C]0.99611[/C][C]0.00777914[/C][C]0.00388957[/C][/ROW]
[ROW][C]254[/C][C]0.993977[/C][C]0.0120457[/C][C]0.00602283[/C][/ROW]
[ROW][C]255[/C][C]0.991497[/C][C]0.0170065[/C][C]0.00850327[/C][/ROW]
[ROW][C]256[/C][C]0.986454[/C][C]0.0270923[/C][C]0.0135462[/C][/ROW]
[ROW][C]257[/C][C]0.981604[/C][C]0.0367914[/C][C]0.0183957[/C][/ROW]
[ROW][C]258[/C][C]0.997067[/C][C]0.00586561[/C][C]0.00293281[/C][/ROW]
[ROW][C]259[/C][C]0.994495[/C][C]0.0110106[/C][C]0.00550528[/C][/ROW]
[ROW][C]260[/C][C]0.992742[/C][C]0.0145167[/C][C]0.00725837[/C][/ROW]
[ROW][C]261[/C][C]0.987844[/C][C]0.0243115[/C][C]0.0121558[/C][/ROW]
[ROW][C]262[/C][C]0.980211[/C][C]0.0395778[/C][C]0.0197889[/C][/ROW]
[ROW][C]263[/C][C]0.980915[/C][C]0.0381705[/C][C]0.0190853[/C][/ROW]
[ROW][C]264[/C][C]0.969929[/C][C]0.0601417[/C][C]0.0300708[/C][/ROW]
[ROW][C]265[/C][C]0.948488[/C][C]0.103024[/C][C]0.0515122[/C][/ROW]
[ROW][C]266[/C][C]0.934436[/C][C]0.131128[/C][C]0.0655642[/C][/ROW]
[ROW][C]267[/C][C]0.929427[/C][C]0.141145[/C][C]0.0705725[/C][/ROW]
[ROW][C]268[/C][C]0.924342[/C][C]0.151315[/C][C]0.0756576[/C][/ROW]
[ROW][C]269[/C][C]0.909996[/C][C]0.180008[/C][C]0.0900039[/C][/ROW]
[ROW][C]270[/C][C]0.821847[/C][C]0.356307[/C][C]0.178153[/C][/ROW]
[ROW][C]271[/C][C]0.680304[/C][C]0.639392[/C][C]0.319696[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=271043&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=271043&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
7001
83.82029e-617.64058e-611
9001
10001
111.75945e-1063.5189e-1061
123.43945e-1196.87889e-1191
13001
14001
157.17056e-1671.43411e-1661
160.01959740.03919490.980403
170.01057430.02114870.989426
180.005980740.01196150.994019
190.1074640.2149280.892536
200.08157460.1631490.918425
210.05617220.1123440.943828
220.03843930.07687870.961561
230.02525170.05050340.974748
240.01603960.03207930.98396
250.01032710.02065410.989673
260.006719720.01343940.99328
270.03466920.06933830.965331
280.06449020.128980.93551
290.04754040.09508070.95246
300.0350510.07010190.964949
310.02875650.0575130.971244
320.02072490.04144970.979275
330.01471040.02942080.98529
340.01016330.02032650.989837
350.008703090.01740620.991297
360.00745420.01490840.992546
370.00502340.01004680.994977
380.01702280.03404570.982977
390.01203120.02406240.987969
400.008881720.01776340.991118
410.006452740.01290550.993547
420.004802520.009605050.995197
430.003577460.007154920.996423
440.002424880.004849760.997575
450.003196790.006393570.996803
460.002138330.004276650.997862
470.002092370.004184740.997908
480.006796990.0135940.993203
490.006913220.01382640.993087
500.009773030.01954610.990227
510.01865790.03731570.981342
520.02162920.04325830.978371
530.01690740.03381490.983093
540.04322780.08645570.956772
550.04358140.08716280.956419
560.04042860.08085720.959571
570.09454680.1890940.905453
580.08777970.1755590.91222
590.08344460.1668890.916555
600.08876340.1775270.911237
610.07344230.1468850.926558
620.06155110.1231020.938449
630.06192530.1238510.938075
640.04982260.09964510.950177
650.04008560.08017120.959914
660.03957220.07914450.960428
670.03175470.06350930.968245
680.02569080.05138160.974309
690.02013480.04026970.979865
700.02352050.04704090.97648
710.01865580.03731160.981344
720.01774940.03549870.982251
730.01837280.03674570.981627
740.01823320.03646640.981767
750.01659720.03319430.983403
760.01362640.02725280.986374
770.01560980.03121960.98439
780.01301450.02602890.986986
790.01216490.02432970.987835
800.0122050.02441010.987795
810.01323520.02647030.986765
820.01500730.03001470.984993
830.01444240.02888490.985558
840.01993090.03986170.980069
850.02777590.05555170.972224
860.0291970.05839390.970803
870.02590870.05181730.974091
880.02210950.04421890.977891
890.02213140.04426290.977869
900.02782230.05564460.972178
910.02323370.04646730.976766
920.03126570.06253150.968734
930.04560160.09120320.954398
940.04482320.08964640.955177
950.04584010.09168030.95416
960.05347410.1069480.946526
970.06903470.1380690.930965
980.06554110.1310820.934459
990.05949430.1189890.940506
1000.06790110.1358020.932099
1010.05861410.1172280.941386
1020.05836140.1167230.941639
1030.05484180.1096840.945158
1040.07092290.1418460.929077
1050.06468250.1293650.935317
1060.06808280.1361660.931917
1070.06378480.127570.936215
1080.06938180.1387640.930618
1090.06121740.1224350.938783
1100.06227370.1245470.937726
1110.06972680.1394540.930273
1120.06958120.1391620.930419
1130.1163080.2326160.883692
1140.2267620.4535230.773238
1150.2265650.4531310.773435
1160.2190640.4381290.780936
1170.2176510.4353010.782349
1180.1977460.3954920.802254
1190.1742840.3485670.825716
1200.1664930.3329850.833507
1210.1596380.3192760.840362
1220.2413310.4826630.758669
1230.2353150.470630.764685
1240.4026920.8053840.597308
1250.4230520.8461030.576948
1260.4329970.8659940.567003
1270.4210860.8421720.578914
1280.4793610.9587210.520639
1290.5011210.9977580.498879
1300.5305290.9389430.469471
1310.5372540.9254910.462746
1320.5205390.9589210.479461
1330.5348480.9303040.465152
1340.5610410.8779190.438959
1350.6221810.7556380.377819
1360.6823770.6352470.317623
1370.6839460.6321070.316054
1380.7967720.4064570.203228
1390.7881790.4236410.211821
1400.8145460.3709080.185454
1410.804140.391720.19586
1420.7807180.4385640.219282
1430.7696180.4607640.230382
1440.7730860.4538270.226914
1450.7596310.4807380.240369
1460.7538440.4923130.246156
1470.7578420.4843160.242158
1480.7773380.4453240.222662
1490.7669360.4661280.233064
1500.7425940.5148110.257406
1510.7193420.5613150.280658
1520.7639170.4721670.236083
1530.7491380.5017240.250862
1540.7216070.5567850.278393
1550.7038080.5923850.296192
1560.6977810.6044380.302219
1570.6993470.6013060.300653
1580.723420.5531590.27658
1590.7289430.5421130.271057
1600.7109590.5780830.289041
1610.7175230.5649540.282477
1620.7078470.5843060.292153
1630.6852120.6295770.314788
1640.9192010.1615990.0807994
1650.9364760.1270480.063524
1660.9261530.1476940.0738472
1670.9271830.1456340.0728171
1680.9253730.1492530.0746267
1690.9212890.1574220.0787109
1700.9145930.1708150.0854073
1710.9088260.1823480.0911739
1720.9058560.1882880.0941441
1730.9281140.1437720.0718858
1740.9154090.1691810.0845905
1750.9010250.1979510.0989753
1760.8958040.2083910.104196
1770.9019730.1960540.0980269
1780.8955360.2089290.104464
1790.9256160.1487680.0743841
1800.9582520.0834970.0417485
1810.9520870.09582570.0479129
1820.9599510.08009710.0400486
1830.9598350.08033090.0401655
1840.9575080.08498310.0424916
1850.9846240.03075240.0153762
1860.9833680.03326420.0166321
1870.9823360.03532780.0176639
1880.9851540.0296920.014846
1890.9899790.02004220.0100211
1900.9873250.02534910.0126745
1910.9845870.03082680.0154134
1920.9845680.03086320.0154316
1930.9843760.0312490.0156245
1940.9824590.03508250.0175413
1950.9791050.04179020.0208951
1960.9742940.05141280.0257064
1970.9694710.06105750.0305288
1980.9650540.06989130.0349456
1990.9576380.08472380.0423619
2000.9546950.09061010.045305
2010.9474780.1050440.052522
2020.9367680.1264640.0632318
2030.9257980.1484050.0742023
2040.9343860.1312280.065614
2050.9271360.1457280.0728639
2060.9136410.1727180.0863591
2070.9746370.05072680.0253634
2080.9679880.06402440.0320122
2090.9675830.06483480.0324174
2100.961080.07783950.0389198
2110.9523370.09532540.0476627
2120.9420430.1159130.0579567
2130.9573060.08538880.0426944
2140.951570.09685930.0484296
2150.9463820.1072370.0536184
2160.9559870.08802640.0440132
2170.9476730.1046530.0523265
2180.9370860.1258280.0629142
2190.9225970.1548070.0774035
2200.9141980.1716040.0858021
2210.9147260.1705480.0852738
2220.900780.1984390.0992196
2230.8952540.2094930.104746
2240.8774840.2450330.122516
2250.857760.284480.14224
2260.8327760.3344480.167224
2270.8093560.3812880.190644
2280.7789590.4420820.221041
2290.8624020.2751960.137598
2300.8587920.2824170.141208
2310.8392410.3215170.160759
2320.9191130.1617740.0808868
2330.9111320.1777360.0888679
2340.894610.210780.10539
2350.8830060.2339870.116994
2360.902040.195920.0979598
2370.8780390.2439210.121961
2380.8842670.2314670.115733
2390.9726350.05472980.0273649
2400.9658360.06832780.0341639
2410.9790720.04185640.0209282
2420.9709210.05815820.0290791
2430.9626730.07465370.0373268
2440.954860.09027960.0451398
2450.9448140.1103730.0551865
2460.9392420.1215150.0607577
2470.9252370.1495260.074763
2480.9529340.09413130.0470657
2490.9723230.05535310.0276766
2500.9705930.05881490.0294074
2510.9643360.07132860.0356643
2520.9977210.004558060.00227903
2530.996110.007779140.00388957
2540.9939770.01204570.00602283
2550.9914970.01700650.00850327
2560.9864540.02709230.0135462
2570.9816040.03679140.0183957
2580.9970670.005865610.00293281
2590.9944950.01101060.00550528
2600.9927420.01451670.00725837
2610.9878440.02431150.0121558
2620.9802110.03957780.0197889
2630.9809150.03817050.0190853
2640.9699290.06014170.0300708
2650.9484880.1030240.0515122
2660.9344360.1311280.0655642
2670.9294270.1411450.0705725
2680.9243420.1513150.0756576
2690.9099960.1800080.0900039
2700.8218470.3563070.178153
2710.6803040.6393920.319696






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level180.0679245NOK
5% type I error level800.301887NOK
10% type I error level1300.490566NOK

\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 & 18 & 0.0679245 & NOK \tabularnewline
5% type I error level & 80 & 0.301887 & NOK \tabularnewline
10% type I error level & 130 & 0.490566 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=271043&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]18[/C][C]0.0679245[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]80[/C][C]0.301887[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]130[/C][C]0.490566[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=271043&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=271043&T=6

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

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level180.0679245NOK
5% type I error level800.301887NOK
10% type I error level1300.490566NOK


Figures (Output of Computation)

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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):
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')
}