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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 computationMon, 22 Oct 2012 18:57:27 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Oct/22/t1350946679x3y10px57wy5004.htm/, Retrieved Sat, 04 May 2024 03:03:40 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=182533, Retrieved Sat, 04 May 2024 03:03:40 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact46

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Multiple Regression] [gvkgvkvggo] [2012-10-22 22:57:27] [12383fa010e7b5252e187b5f14cfe683] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
87,28	255
87,28	280,2
87,09	299,9
86,92	339,2
87,59	374,2
90,72	393,5
90,69	389,2
90,3	381,7
89,55	375,2
88,94	369
88,41	357,4
87,82	352,1
87,07	346,5
86,82	342,9
86,4	340,3
86,02	328,3
85,66	322,9
85,32	314,3
85	308,9
84,67	294
83,94	285,6
82,83	281,2
81,95	280,3
81,19	278,8
80,48	274,5
78,86	270,4
69,47	263,4
68,77	259,9
70,06	258
73,95	262,7
75,8	284,7
77,79	311,3
81,57	322,1
83,07	327
84,34	331,3
85,1	333,3
85,25	321,4
84,26	327
83,63	320
86,44	314,7
85,3	316,7
84,1	314,4
83,36	321,3
82,48	318,2
81,58	307,2
80,47	301,3
79,34	287,5
82,13	277,7
81,69	274,4
80,7	258,8
79,88	253,3
79,16	251
78,38	248,4
77,42	249,5
76,47	246,1
75,46	244,5
74,48	243,6
78,27	244
80,7	240,8
79,91	249,8
78,75	248
77,78	259,4
81,14	260,5
81,08	260,8
80,03	261,3
78,91	259,5
78,01	256,6
76,9	257,9
75,97	256,5
81,93	254,2
80,27	253,3
78,67	253,8
77,42	255,5
76,16	257,1
74,7	257,3
76,39	253,2
76,04	252,8
74,65	252
73,29	250,7
71,79	252,2
74,39	250
74,91	251
74,54	253,4
73,08	251,2
72,75	255,6
71,32	261,1
70,38	258,9
70,35	259,9
70,01	261,2
69,36	264,7
67,77	267,1
69,26	266,4
69,8	267,7
68,38	268,6
67,62	267,5
68,39	268,5
66,95	268,5
65,21	270,5
66,64	270,9
63,45	270,1
60,66	269,3
62,34	269,8
60,32	270,1
58,64	264,9
60,46	263,7
58,59	264,8
61,87	263,7
61,85	255,9
67,44	276,2
77,06	360,1
91,74	380,5
93,15	373,7
94,15	369,8
93,11	366,6
91,51	359,3
89,96	345,8
88,16	326,2
86,98	324,5
88,03	328,1
86,24	327,5
84,65	324,4
83,23	316,5
81,7	310,9
80,25	301,5
78,8	291,7
77,51	290,4
76,2	287,4
75,04	277,7
74	281,6
75,49	288
77,14	276
76,15	272,9
76,27	283
78,19	283,3
76,49	276,8
77,31	284,5
76,65	282,7
74,99	281,2
73,51	287,4
72,07	283,1
70,59	284
71,96	285,5
76,29	289,2
74,86	292,5
74,93	296,4
71,9	305,2
71,01	303,9
77,47	311,5
75,78	316,3
76,6	316,7
76,07	322,5
74,57	317,1
73,02	309,8
72,65	303,8
73,16	290,3
71,53	293,7
69,78	291,7
67,98	296,5
69,96	289,1
72,16	288,5
70,47	293,8
68,86	297,7
67,37	305,4
65,87	302,7
72,16	302,5
71,34	303
69,93	294,5
68,44	294,1
67,16	294,5
66,01	297,1
67,25	289,4
70,91	292,4
69,75	287,9
68,59	286,6
67,48	280,5
66,31	272,4
64,81	269,2
66,58	270,6
65,97	267,3
64,7	262,5
64,7	266,8
60,94	268,8
59,08	263,1
58,42	261,2
57,77	266
57,11	262,5
53,31	265,2
49,96	261,3
49,4	253,7
48,84	249,2
48,3	239,1
47,74	236,4
47,24	235,2
46,76	245,2
46,29	246,2
48,9	247,7
49,23	251,4
48,53	253,3
48,03	254,8
54,34	250
53,79	249,3
53,24	241,5
52,96	243,3
52,17	248
51,7	253
58,55	252,9
78,2	251,5
77,03	251,6
76,19	253,5
77,15	259,8
75,87	334,1
95,47	448
109,67	445,8
112,28	445
112,01	448,2
107,93	438,2
105,96	439,8
105,06	423,4
102,98	410,8
102,2	408,4
105,23	406,7
101,85	405,9
99,89	402,7
96,23	405,1
94,76	399,6
91,51	386,5
91,63	381,4
91,54	375,2
85,23	357,7
87,83	359
87,38	355
84,44	352,7
85,19	344,4
84,03	343,8
86,73	338
102,52	339
104,45	333,3
106,98	334,4
107,02	328,3
99,26	330,7
94,45	330
113,44	331,6
157,33	351,2
147,38	389,4
171,89	410,9
171,95	442,8
132,71	462,8
126,02	466,9
121,18	461,7
115,45	439,2
110,48	430,3
117,85	416,1
117,63	402,5
124,65	397,3
109,59	403,3
111,27	395,9
99,78	387,8
98,21	378,6
99,2	377,1
97,97	370,4
89,55	362
87,91	350,3
93,34	348,2
94,42	344,6
93,2	343,5
90,29	342,8
91,46	347,6
89,98	346,6
88,35	349,5
88,41	342,1
82,44	342
79,89	342,8
75,69	339,3
75,66	348,2
84,5	333,7
96,73	334,7
87,48	354
82,39	367,7
83,48	363,3
79,31	358,4
78,16	353,1
72,77	343,1
72,45	344,6
68,46	344,4
67,62	333,9
68,76	331,7
70,07	324,3
68,55	321,2
65,3	322,4
58,96	321,7
59,17	320,5
62,37	312,8
66,28	309,7
55,62	315,6
55,23	309,7
55,85	304,6
56,75	302,5
50,89	301,5
53,88	298,8
52,95	291,3
55,08	293,6
53,61	294,6
58,78	285,9
61,85	297,6
55,91	301,1
53,32	293,8
46,41	297,7
44,57	292,9
50	292,1
50	287,2
53,36	288,2
46,23	283,8
50,45	299,9
49,07	292,4
45,85	293,3
48,45	300,8
49,96	293,7
46,53	293,1
50,51	294,4
47,58	292,1
48,05	291,9
46,84	282,5
47,67	277,9
49,16	287,5
55,54	289,2
55,82	285,6
58,22	293,2
56,19	290,8
57,77	283,1
63,19	275
54,76	287,8
55,74	287,8
62,54	287,4
61,39	284
69,6	277,8
79,23	277,6
80	304,9
93,68	294
107,63	300,9
100,18	324
97,3	332,9
90,45	341,6
80,64	333,4
80,58	348,2
75,82	344,7
85,59	344,7
89,35	329,3
89,42	323,5
104,73	323,2
95,32	317,4
89,27	311,3
90,44	311,3
86,97	311,3
79,98	311,3
81,22	311,3
87,35	311,3
83,64	311,3
82,22	311,3
94,4	311,3
102,18	311,3

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time14 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.wessa.net
R Framework error message
Warning: there are blank lines in the 'Data X' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.

\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 & 14 seconds \tabularnewline
R Server & 'Sir Ronald Aylmer Fisher' @ fisher.wessa.net \tabularnewline
R Framework error message & 
Warning: there are blank lines in the 'Data X' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.
 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=182533&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]14 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Sir Ronald Aylmer Fisher' @ fisher.wessa.net[/C][/ROW]
[ROW][C]R Framework error message[/C][C]
Warning: there are blank lines in the 'Data X' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.
[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=182533&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=182533&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 time14 seconds
R Server'Sir Ronald Aylmer Fisher' @ fisher.wessa.net
R Framework error message
Warning: there are blank lines in the 'Data X' field.
Please, use NA for missing data - blank lines are simply
 deleted and are NOT treated as missing values.






Multiple Linear Regression - Estimated Regression Equation
A[t] = -6.25467802882214 + 0.27196614459376B[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
A[t] =  -6.25467802882214 +  0.27196614459376B[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=182533&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]A[t] =  -6.25467802882214 +  0.27196614459376B[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=182533&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=182533&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
A[t] = -6.25467802882214 + 0.27196614459376B[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)-6.254678028822144.493483-1.39190.1648030.082402
B0.271966144593760.01440418.88100

\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) & -6.25467802882214 & 4.493483 & -1.3919 & 0.164803 & 0.082402 \tabularnewline
B & 0.27196614459376 & 0.014404 & 18.881 & 0 & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=182533&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]-6.25467802882214[/C][C]4.493483[/C][C]-1.3919[/C][C]0.164803[/C][C]0.082402[/C][/ROW]
[ROW][C]B[/C][C]0.27196614459376[/C][C]0.014404[/C][C]18.881[/C][C]0[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=182533&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=182533&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)-6.254678028822144.493483-1.39190.1648030.082402
B0.271966144593760.01440418.88100






Multiple Linear Regression - Regression Statistics
Multiple R0.706360067065042
R-squared0.498944544344131
Adjusted R-squared0.497544948099282
F-TEST (value)356.49177123795
F-TEST (DF numerator)1
F-TEST (DF denominator)358
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation13.362705175964
Sum Squared Residuals63925.1564838652

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.706360067065042 \tabularnewline
R-squared & 0.498944544344131 \tabularnewline
Adjusted R-squared & 0.497544948099282 \tabularnewline
F-TEST (value) & 356.49177123795 \tabularnewline
F-TEST (DF numerator) & 1 \tabularnewline
F-TEST (DF denominator) & 358 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 13.362705175964 \tabularnewline
Sum Squared Residuals & 63925.1564838652 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=182533&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.706360067065042[/C][/ROW]
[ROW][C]R-squared[/C][C]0.498944544344131[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.497544948099282[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]356.49177123795[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]1[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]358[/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]13.362705175964[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]63925.1564838652[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=182533&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=182533&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 R0.706360067065042
R-squared0.498944544344131
Adjusted R-squared0.497544948099282
F-TEST (value)356.49177123795
F-TEST (DF numerator)1
F-TEST (DF denominator)358
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation13.362705175964
Sum Squared Residuals63925.1564838652






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
187.2863.096688842586624.1833111574134
287.2869.950235686349517.3297643136505
387.0975.307968734846611.7820312651535
486.9285.99623821738130.923761782618669
587.5995.5150532781629-7.92505327816294
690.72100.763999868823-10.0439998688225
790.6999.5945454470694-8.90454544706935
890.397.5547993626162-7.25479936261615
989.5595.7870194227567-6.23701942275671
1088.9494.1008293262754-5.16082932627539
1188.4190.9460220489878-2.53602204898777
1287.8289.5046014826409-1.68460148264086
1387.0787.9815910729158-0.911591072915793
1486.8287.0025129523782-0.18251295237825
1586.486.29540097643450.104599023565529
1686.0283.03180724130942.98819275869064
1785.6681.5631900605034.09680993949696
1885.3279.22428121699676.09571878300329
198577.75566403619047.24433596380961
2084.6773.703368481743410.9666315182566
2183.9471.418852867155812.5211471328442
2282.8370.222201830943212.6077981690568
2381.9569.977432300808911.9725676991911
2481.1969.569483083918211.6205169160818
2580.4868.40002866216512.079971337835
2678.8667.284967469330611.5750325306694
2769.4765.38120445717434.0887955428257
2868.7764.42932295109614.34067704890386
2970.0663.9125872763686.147412723632
3073.9565.19082815595878.75917184404133
3175.871.17408333702144.6259166629786
3277.7978.4083827832154-0.618382783215421
3381.5781.3456171448280.224382855171951
3483.0782.67825125333750.391748746662532
3584.3483.84770567509060.49229432490937
3685.184.39163796427820.70836203572184
3785.2581.15524084361244.0947591563876
3884.2682.67825125333751.58174874666254
3983.6380.77448824118112.85551175881886
4086.4479.33306767483427.10693232516579
4185.379.87699996402175.42300003597827
4284.179.25147783145614.84852216854392
4383.3681.1280442291532.23195577084697
4482.4880.28494918091242.19505081908764
4581.5877.2933215903814.28667840961899
4680.4775.68872133727784.78127866272217
4779.3471.93558854188397.40441145811608
4882.1369.270320324865112.8596796751349
4981.6968.372832047705713.3171679522943
5080.764.13016019204316.569839807957
5179.8862.634346396777317.2456536032227
5279.1662.008824264211717.1511757357883
5378.3861.301712288267917.0782877117321
5477.4261.60087504732115.819124952679
5576.4760.676190155702315.7938098442977
5675.4660.241044324352215.2189556756478
5774.4859.996274794217914.4837252057822
5878.2760.105061252055318.1649387479446
5980.759.234769589355321.4652304106447
6079.9161.682464890699218.2275351093008
6178.7561.192925830430417.5570741695696
6277.7864.293339878799313.4866601212007
6381.1464.592502637852416.5474973621476
6481.0864.674092481230516.4059075187695
6580.0364.810075553527415.2199244464726
6678.9164.320536493258614.5894635067414
6778.0163.531834673936714.4781653260633
6876.963.885390661908613.0146093380914
6975.9763.504638059477412.4653619405226
7081.9362.879115926911719.0508840730883
7180.2762.634346396777317.6356536032227
7278.6762.770329469074215.8996705309258
7377.4263.232671914883614.1873280851164
7476.1663.667817746233612.4921822537664
7574.763.722210975152410.9777890248476
7676.3962.607149782317913.7828502176821
7776.0462.498363324480513.5416366755196
7874.6562.280790408805412.3692095911946
7973.2961.927234420833511.3627655791665
8071.7962.33518363772429.45481636227582
8174.3961.736858119617912.6531418803821
8274.9162.008824264211712.9011757357883
8374.5462.661543011236711.8784569887633
8473.0862.063217493130411.0167825068696
8572.7563.2598685293439.49013147065703
8671.3264.75568232460876.56431767539133
8770.3864.15735680650246.22264319349762
8870.3564.42932295109615.92067704890386
8970.0164.7828789390685.22712106093198
9069.3665.73476044514623.62523955485381
9167.7766.38747919217121.38252080782877
9269.2666.19710289095563.06289710904442
9369.866.55065887892753.24934112107252
9468.3866.79542840906191.58457159093813
9567.6266.49626565000871.12373434999128
9668.3966.76823179460251.62176820539752
9766.9566.76823179460250.181768205397519
9865.2167.31216408379-2.10216408379001
9966.6467.4209505416275-0.780950541627501
10063.4567.2033776259525-3.7533776259525
10160.6666.9858047102775-6.3258047102775
10262.3467.1217877825744-4.78178778257437
10360.3267.2033776259525-6.88337762595251
10458.6465.7891536740649-7.14915367406494
10560.4665.4627943005524-5.00279430055243
10658.5965.7619570596056-7.17195705960557
10761.8765.4627943005524-3.59279430055243
10861.8563.3414583727211-1.4914583727211
10967.4468.8623711079744-1.42237110797444
11077.0691.6803306393909-14.6203306393909
11191.7497.2284399891036-5.48843998910364
11293.1595.3790702058661-2.22907020586606
11394.1594.3184022419504-0.168402241950398
11493.1193.4481105792504-0.338110579250378
11591.5191.46275772371590.0472422762840832
11689.9687.79121477170022.16878522829983
11788.1682.46067833766245.69932166233755
11886.9881.99833589185314.98166410814694
11988.0382.97741401239065.0525859876094
12086.2482.81423432563433.42576567436565
12184.6581.97113927739372.67886072260633
12283.2379.8226067351033.40739326489703
12381.778.29959632537793.40040367462209
12480.2575.74311456619664.50688543380343
12578.873.07784634917775.72215365082228
12677.5172.72429036120584.78570963879418
12776.271.90839192742454.29160807257546
12875.0469.27032032486515.76967967513493
1297470.33098828878073.66901171121925
13075.4972.07157161418083.41842838581919
13177.1468.80797787905578.33202212094431
13276.1567.9648828308158.18511716918498
13376.2770.7117408912125.55825910878799
13478.1970.79333073459017.39666926540986
13576.4969.02555079473077.4644492052693
13677.3171.11969010810266.19030989189735
13776.6570.63015104783396.01984895216613
13874.9970.22220183094324.76779816905676
13973.5171.90839192742451.60160807257546
14072.0770.73893750567141.3310624943286
14170.5970.9837070358058-0.393707035805765
14271.9671.39165625269640.568343747303585
14376.2972.39793098769333.89206901230669
14474.8673.29541926485271.56458073514727
14574.9374.35608722876840.573912771231617
14671.976.7493893011935-4.84938930119348
14771.0176.3958333132216-5.38583331322159
14877.4778.4627760121342-0.992776012134178
14975.7879.7682135061842-3.98821350618423
15076.679.8769999640217-3.27699996402173
15176.0781.4544036026655-5.38440360266555
15274.5779.9857864218592-5.41578642185925
15373.0278.0004335663248-4.98043356632479
15472.6576.3686366987622-3.71863669876222
15573.1672.69709374674650.462906253253536
15671.5373.6217786383652-2.09177863836524
15769.7873.0778463491777-3.29784634917772
15867.9874.3832838432278-6.40328384322777
15969.9672.370734373234-2.41073437323396
16072.1672.2075546864777-0.0475546864776925
16170.4773.6489752528246-3.17897525282462
16268.8674.7096432167403-5.84964321674028
16367.3776.8037825301122-9.43378253011223
16465.8776.0694739397091-10.1994739397091
16572.1676.0150807107903-3.85508071079034
16671.3476.1510637830872-4.81106378308721
16769.9373.8393515540402-3.90935155404024
16868.4473.7305650962028-5.29056509620276
16967.1673.8393515540402-6.67935155404026
17066.0174.546463529984-8.53646352998403
17167.2572.4523242166121-5.20232421661207
17270.9173.2682226503933-2.35822265039335
17369.7572.0443749997214-2.29437499972143
17468.5971.6908190117496-3.10081901174955
17567.4870.0318255297276-2.5518255297276
17666.3167.8288997585181-1.51889975851814
17764.8166.9586080958181-2.14860809581811
17866.5867.3393606982494-0.759360698249388
17965.9766.44187242109-0.471872421089975
18064.765.1364349270399-0.436434927039919
18164.766.3058893487931-1.60588934879309
18260.9466.8498216379806-5.90982163798062
18359.0865.2996146137962-6.21961461379618
18458.4264.782878939068-6.36287893906803
18557.7766.0883164331181-8.31831643311808
18657.1165.1364349270399-8.02643492703992
18753.3165.8707435174431-12.5607435174431
18849.9664.8100755535274-14.8500755535274
18949.462.7431328546148-13.3431328546148
19048.8461.5192852039429-12.6792852039429
19148.358.7724271435459-10.4724271435459
19247.7458.0381185531428-10.2981185531428
19347.2457.7117591796303-10.4717591796303
19446.7660.4314206255679-13.6714206255679
19546.2960.7033867701616-14.4133867701616
19648.961.1113359870523-12.2113359870523
19749.2362.1176107220492-12.8876107220492
19848.5362.6343463967773-14.1043463967773
19948.0363.042295613668-15.012295613668
20054.3461.7368581196179-7.39685811961791
20153.7961.5464818184023-7.75648181840229
20253.2459.425145890571-6.18514589057095
20352.9659.9146849508397-6.95468495083972
20452.1761.1929258304304-9.0229258304304
20551.762.5527565533992-10.8527565533992
20658.5562.5255599389398-3.97555993893983
20778.262.144807336508616.0551926634914
20877.0362.172003950967914.8579960490321
20976.1962.688739625696113.5012603743039
21077.1564.402126336636812.7478736633632
21175.8784.6092108799532-8.73921087995316
21295.47115.586154749182-20.1161547491825
213109.67114.987829231076-5.31782923107619
214112.28114.770256315401-2.49025631540118
215112.01115.640547978101-3.63054797810121
216107.93112.920886532164-4.9908865321636
217105.96113.356032363514-7.39603236351364
218105.06108.895787592176-3.83578759217594
219102.98105.469014170295-2.48901417029457
220102.2104.81629542327-2.61629542326954
221105.23104.353952977460.876047022539852
222101.85104.136380061785-2.28638006178515
22399.89103.266088399085-3.37608839908511
22496.23103.91880714611-7.68880714611014
22594.76102.422993350844-7.66299335084446
22691.5198.8602368566662-7.35023685666619
22791.6397.473209519238-5.84320951923802
22891.5495.7870194227567-4.2470194227567
22985.2391.0276118923659-5.7976118923659
23087.8391.3811678803378-3.55116788033779
23187.3890.2933033019628-2.91330330196275
23284.4489.6677811693971-5.2277811693971
23385.1987.4104621692689-2.22046216926889
23484.0387.2472824825126-3.21728248251264
23586.7385.66987884386881.06012115613118
236102.5285.941844988462616.5781550115374
237104.4584.391637964278120.0583620357218
238106.9884.690800723331322.2891992766687
239107.0283.031807241309423.9881927586906
24099.2683.684525988334415.5754740116656
24194.4583.494149687118710.9558503128813
242113.4483.929295518468829.5107044815312
243157.3389.259831952506568.0701680474936
244147.3899.648938675988147.7310613240119
245171.89105.49621078475466.393789215246
246171.95114.17193079729557.7780692027051
247132.71119.6112536891713.0987463108299
248126.02120.7263148820055.29368511799547
249121.18119.3120909301171.86790906988303
250115.45113.1928526767572.25714732324263
251110.48110.772353989873-0.292353989872902
252117.85106.91043473664210.9395652633585
253117.63103.21169517016614.4183048298336
254124.65101.79747121827922.8525287817212
255109.59103.4292680858416.16073191415863
256111.27101.4167186158489.85328138415245
25799.7899.21379284463810.566207155361911
25898.2196.71170431437551.4982956856245
25999.296.30375509748492.89624490251515
26097.9794.48158192870663.48841807129335
26189.5592.1970663141191-2.64706631411907
26287.9189.0150624223721-1.10506242237208
26393.3488.44393351872524.89606648127483
26494.4287.46485539818776.95514460181235
26593.287.16569263913456.0343073608655
26690.2986.97531633791893.31468366208113
26791.4688.28075383196893.17924616803106
26889.9888.00878768737521.97121231262483
26988.3588.7974895066971-0.447489506697073
27088.4186.78494003670321.62505996329675
27182.4486.7577434222439-4.31774342224387
27279.8986.9753163379189-7.08531633791888
27375.6986.0234348318407-10.3334348318407
27475.6688.4439335187252-12.7839335187252
27584.584.5004244221157-0.000424422115651925
27696.7384.772390566709411.9576094332906
27787.4890.021337157369-2.54133715736899
27882.3993.7472733383035-11.3572733383035
27983.4892.550622302091-9.07062230209096
28079.3191.2179881935815-11.9079881935815
28178.1689.7765676272346-11.6165676272346
28272.7787.056906181297-14.286906181297
28372.4587.4648553981877-15.0148553981876
28468.4687.4104621692689-18.9504621692689
28567.6284.5548176510344-16.9348176510344
28668.7683.9564921329281-15.1964921329281
28770.0781.9439426629343-11.8739426629343
28868.5581.1008476146936-12.5508476146936
28965.381.4272069882062-16.1272069882062
29058.9681.2368306869905-22.2768306869905
29159.1780.910471313478-21.740471313478
29262.3778.8163320001061-16.4463320001061
29366.2877.9732369518654-11.6932369518654
29455.6279.5778372049686-23.9578372049686
29555.2377.9732369518654-22.7432369518654
29655.8576.5862096144372-20.7362096144372
29756.7576.0150807107903-19.2650807107903
29850.8975.7431145661966-24.8531145661966
29953.8875.0088059757934-21.1288059757934
30052.9572.9690598913402-20.0190598913402
30155.0873.5945820239059-18.5145820239059
30253.6173.8665481684996-20.2565481684996
30358.7871.5004427105339-12.7204427105339
30461.8574.6824466022809-12.8324466022809
30555.9175.6343281083591-19.7243281083591
30653.3273.6489752528246-20.3289752528246
30746.4174.7096432167403-28.2996432167403
30844.5773.4042057226902-28.8342057226902
3095073.1866328070152-23.1866328070152
3105071.8539986985058-21.8539986985058
31153.3672.1259648430996-18.7659648430996
31246.2370.929313806887-24.699313806887
31350.4575.3079687348466-24.8579687348465
31449.0773.2682226503933-24.1982226503933
31545.8573.5129921805277-27.6629921805277
31648.4575.5527382649809-27.1027382649809
31749.9673.6217786383652-23.6617786383652
31846.5373.458598951609-26.928598951609
31950.5173.8121549395809-23.3021549395809
32047.5873.1866328070152-25.6066328070152
32148.0573.1322395780965-25.0822395780965
32246.8470.5757578189151-23.7357578189151
32347.6769.3247135537838-21.6547135537838
32449.1671.9355885418839-22.7755885418839
32555.5472.3979309876933-16.8579309876933
32655.8271.4188528671558-15.5988528671558
32758.2273.4857955660684-15.2657955660684
32856.1972.8330768190433-16.6430768190433
32957.7770.7389375056714-12.9689375056714
33063.1968.5360117344619-5.34601173446193
33154.7672.0171783852621-17.2571783852621
33255.7472.0171783852621-16.2771783852621
33362.5471.9083919274245-9.36839192742455
33461.3970.9837070358058-9.59370703580577
33569.669.29751693932450.302483060675537
33679.2369.24312371040579.98687628959429
3378076.66779945781533.33220054218465
33893.6873.703368481743419.9766315182566
339107.6375.579934879440332.0500651205597
340100.1881.862352819556218.3176471804438
34197.384.282851506440613.0171484935594
34290.4586.64895696440643.80104303559364
34380.6484.4188345787375-3.77883457873752
34480.5888.4439335187252-7.86393351872518
34575.8287.492052012647-11.672052012647
34685.5987.492052012647-1.90205201264701
34789.3583.30377338590316.04622661409688
34889.4281.72636974725937.6936302527407
349104.7381.644779903881223.0852200961188
35095.3280.067376265237415.2526237347626
35189.2778.408382783215410.8616172167846
35290.4478.408382783215412.0316172167846
35386.9778.40838278321548.56161721678457
35479.9878.40838278321541.57161721678458
35581.2278.40838278321542.81161721678457
35687.3578.40838278321548.94161721678457
35783.6478.40838278321545.23161721678457
35882.2278.40838278321543.81161721678457
35994.478.408382783215415.9916172167846
360102.1878.408382783215423.7716172167846

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 87.28 & 63.0966888425866 & 24.1833111574134 \tabularnewline
2 & 87.28 & 69.9502356863495 & 17.3297643136505 \tabularnewline
3 & 87.09 & 75.3079687348466 & 11.7820312651535 \tabularnewline
4 & 86.92 & 85.9962382173813 & 0.923761782618669 \tabularnewline
5 & 87.59 & 95.5150532781629 & -7.92505327816294 \tabularnewline
6 & 90.72 & 100.763999868823 & -10.0439998688225 \tabularnewline
7 & 90.69 & 99.5945454470694 & -8.90454544706935 \tabularnewline
8 & 90.3 & 97.5547993626162 & -7.25479936261615 \tabularnewline
9 & 89.55 & 95.7870194227567 & -6.23701942275671 \tabularnewline
10 & 88.94 & 94.1008293262754 & -5.16082932627539 \tabularnewline
11 & 88.41 & 90.9460220489878 & -2.53602204898777 \tabularnewline
12 & 87.82 & 89.5046014826409 & -1.68460148264086 \tabularnewline
13 & 87.07 & 87.9815910729158 & -0.911591072915793 \tabularnewline
14 & 86.82 & 87.0025129523782 & -0.18251295237825 \tabularnewline
15 & 86.4 & 86.2954009764345 & 0.104599023565529 \tabularnewline
16 & 86.02 & 83.0318072413094 & 2.98819275869064 \tabularnewline
17 & 85.66 & 81.563190060503 & 4.09680993949696 \tabularnewline
18 & 85.32 & 79.2242812169967 & 6.09571878300329 \tabularnewline
19 & 85 & 77.7556640361904 & 7.24433596380961 \tabularnewline
20 & 84.67 & 73.7033684817434 & 10.9666315182566 \tabularnewline
21 & 83.94 & 71.4188528671558 & 12.5211471328442 \tabularnewline
22 & 82.83 & 70.2222018309432 & 12.6077981690568 \tabularnewline
23 & 81.95 & 69.9774323008089 & 11.9725676991911 \tabularnewline
24 & 81.19 & 69.5694830839182 & 11.6205169160818 \tabularnewline
25 & 80.48 & 68.400028662165 & 12.079971337835 \tabularnewline
26 & 78.86 & 67.2849674693306 & 11.5750325306694 \tabularnewline
27 & 69.47 & 65.3812044571743 & 4.0887955428257 \tabularnewline
28 & 68.77 & 64.4293229510961 & 4.34067704890386 \tabularnewline
29 & 70.06 & 63.912587276368 & 6.147412723632 \tabularnewline
30 & 73.95 & 65.1908281559587 & 8.75917184404133 \tabularnewline
31 & 75.8 & 71.1740833370214 & 4.6259166629786 \tabularnewline
32 & 77.79 & 78.4083827832154 & -0.618382783215421 \tabularnewline
33 & 81.57 & 81.345617144828 & 0.224382855171951 \tabularnewline
34 & 83.07 & 82.6782512533375 & 0.391748746662532 \tabularnewline
35 & 84.34 & 83.8477056750906 & 0.49229432490937 \tabularnewline
36 & 85.1 & 84.3916379642782 & 0.70836203572184 \tabularnewline
37 & 85.25 & 81.1552408436124 & 4.0947591563876 \tabularnewline
38 & 84.26 & 82.6782512533375 & 1.58174874666254 \tabularnewline
39 & 83.63 & 80.7744882411811 & 2.85551175881886 \tabularnewline
40 & 86.44 & 79.3330676748342 & 7.10693232516579 \tabularnewline
41 & 85.3 & 79.8769999640217 & 5.42300003597827 \tabularnewline
42 & 84.1 & 79.2514778314561 & 4.84852216854392 \tabularnewline
43 & 83.36 & 81.128044229153 & 2.23195577084697 \tabularnewline
44 & 82.48 & 80.2849491809124 & 2.19505081908764 \tabularnewline
45 & 81.58 & 77.293321590381 & 4.28667840961899 \tabularnewline
46 & 80.47 & 75.6887213372778 & 4.78127866272217 \tabularnewline
47 & 79.34 & 71.9355885418839 & 7.40441145811608 \tabularnewline
48 & 82.13 & 69.2703203248651 & 12.8596796751349 \tabularnewline
49 & 81.69 & 68.3728320477057 & 13.3171679522943 \tabularnewline
50 & 80.7 & 64.130160192043 & 16.569839807957 \tabularnewline
51 & 79.88 & 62.6343463967773 & 17.2456536032227 \tabularnewline
52 & 79.16 & 62.0088242642117 & 17.1511757357883 \tabularnewline
53 & 78.38 & 61.3017122882679 & 17.0782877117321 \tabularnewline
54 & 77.42 & 61.600875047321 & 15.819124952679 \tabularnewline
55 & 76.47 & 60.6761901557023 & 15.7938098442977 \tabularnewline
56 & 75.46 & 60.2410443243522 & 15.2189556756478 \tabularnewline
57 & 74.48 & 59.9962747942179 & 14.4837252057822 \tabularnewline
58 & 78.27 & 60.1050612520553 & 18.1649387479446 \tabularnewline
59 & 80.7 & 59.2347695893553 & 21.4652304106447 \tabularnewline
60 & 79.91 & 61.6824648906992 & 18.2275351093008 \tabularnewline
61 & 78.75 & 61.1929258304304 & 17.5570741695696 \tabularnewline
62 & 77.78 & 64.2933398787993 & 13.4866601212007 \tabularnewline
63 & 81.14 & 64.5925026378524 & 16.5474973621476 \tabularnewline
64 & 81.08 & 64.6740924812305 & 16.4059075187695 \tabularnewline
65 & 80.03 & 64.8100755535274 & 15.2199244464726 \tabularnewline
66 & 78.91 & 64.3205364932586 & 14.5894635067414 \tabularnewline
67 & 78.01 & 63.5318346739367 & 14.4781653260633 \tabularnewline
68 & 76.9 & 63.8853906619086 & 13.0146093380914 \tabularnewline
69 & 75.97 & 63.5046380594774 & 12.4653619405226 \tabularnewline
70 & 81.93 & 62.8791159269117 & 19.0508840730883 \tabularnewline
71 & 80.27 & 62.6343463967773 & 17.6356536032227 \tabularnewline
72 & 78.67 & 62.7703294690742 & 15.8996705309258 \tabularnewline
73 & 77.42 & 63.2326719148836 & 14.1873280851164 \tabularnewline
74 & 76.16 & 63.6678177462336 & 12.4921822537664 \tabularnewline
75 & 74.7 & 63.7222109751524 & 10.9777890248476 \tabularnewline
76 & 76.39 & 62.6071497823179 & 13.7828502176821 \tabularnewline
77 & 76.04 & 62.4983633244805 & 13.5416366755196 \tabularnewline
78 & 74.65 & 62.2807904088054 & 12.3692095911946 \tabularnewline
79 & 73.29 & 61.9272344208335 & 11.3627655791665 \tabularnewline
80 & 71.79 & 62.3351836377242 & 9.45481636227582 \tabularnewline
81 & 74.39 & 61.7368581196179 & 12.6531418803821 \tabularnewline
82 & 74.91 & 62.0088242642117 & 12.9011757357883 \tabularnewline
83 & 74.54 & 62.6615430112367 & 11.8784569887633 \tabularnewline
84 & 73.08 & 62.0632174931304 & 11.0167825068696 \tabularnewline
85 & 72.75 & 63.259868529343 & 9.49013147065703 \tabularnewline
86 & 71.32 & 64.7556823246087 & 6.56431767539133 \tabularnewline
87 & 70.38 & 64.1573568065024 & 6.22264319349762 \tabularnewline
88 & 70.35 & 64.4293229510961 & 5.92067704890386 \tabularnewline
89 & 70.01 & 64.782878939068 & 5.22712106093198 \tabularnewline
90 & 69.36 & 65.7347604451462 & 3.62523955485381 \tabularnewline
91 & 67.77 & 66.3874791921712 & 1.38252080782877 \tabularnewline
92 & 69.26 & 66.1971028909556 & 3.06289710904442 \tabularnewline
93 & 69.8 & 66.5506588789275 & 3.24934112107252 \tabularnewline
94 & 68.38 & 66.7954284090619 & 1.58457159093813 \tabularnewline
95 & 67.62 & 66.4962656500087 & 1.12373434999128 \tabularnewline
96 & 68.39 & 66.7682317946025 & 1.62176820539752 \tabularnewline
97 & 66.95 & 66.7682317946025 & 0.181768205397519 \tabularnewline
98 & 65.21 & 67.31216408379 & -2.10216408379001 \tabularnewline
99 & 66.64 & 67.4209505416275 & -0.780950541627501 \tabularnewline
100 & 63.45 & 67.2033776259525 & -3.7533776259525 \tabularnewline
101 & 60.66 & 66.9858047102775 & -6.3258047102775 \tabularnewline
102 & 62.34 & 67.1217877825744 & -4.78178778257437 \tabularnewline
103 & 60.32 & 67.2033776259525 & -6.88337762595251 \tabularnewline
104 & 58.64 & 65.7891536740649 & -7.14915367406494 \tabularnewline
105 & 60.46 & 65.4627943005524 & -5.00279430055243 \tabularnewline
106 & 58.59 & 65.7619570596056 & -7.17195705960557 \tabularnewline
107 & 61.87 & 65.4627943005524 & -3.59279430055243 \tabularnewline
108 & 61.85 & 63.3414583727211 & -1.4914583727211 \tabularnewline
109 & 67.44 & 68.8623711079744 & -1.42237110797444 \tabularnewline
110 & 77.06 & 91.6803306393909 & -14.6203306393909 \tabularnewline
111 & 91.74 & 97.2284399891036 & -5.48843998910364 \tabularnewline
112 & 93.15 & 95.3790702058661 & -2.22907020586606 \tabularnewline
113 & 94.15 & 94.3184022419504 & -0.168402241950398 \tabularnewline
114 & 93.11 & 93.4481105792504 & -0.338110579250378 \tabularnewline
115 & 91.51 & 91.4627577237159 & 0.0472422762840832 \tabularnewline
116 & 89.96 & 87.7912147717002 & 2.16878522829983 \tabularnewline
117 & 88.16 & 82.4606783376624 & 5.69932166233755 \tabularnewline
118 & 86.98 & 81.9983358918531 & 4.98166410814694 \tabularnewline
119 & 88.03 & 82.9774140123906 & 5.0525859876094 \tabularnewline
120 & 86.24 & 82.8142343256343 & 3.42576567436565 \tabularnewline
121 & 84.65 & 81.9711392773937 & 2.67886072260633 \tabularnewline
122 & 83.23 & 79.822606735103 & 3.40739326489703 \tabularnewline
123 & 81.7 & 78.2995963253779 & 3.40040367462209 \tabularnewline
124 & 80.25 & 75.7431145661966 & 4.50688543380343 \tabularnewline
125 & 78.8 & 73.0778463491777 & 5.72215365082228 \tabularnewline
126 & 77.51 & 72.7242903612058 & 4.78570963879418 \tabularnewline
127 & 76.2 & 71.9083919274245 & 4.29160807257546 \tabularnewline
128 & 75.04 & 69.2703203248651 & 5.76967967513493 \tabularnewline
129 & 74 & 70.3309882887807 & 3.66901171121925 \tabularnewline
130 & 75.49 & 72.0715716141808 & 3.41842838581919 \tabularnewline
131 & 77.14 & 68.8079778790557 & 8.33202212094431 \tabularnewline
132 & 76.15 & 67.964882830815 & 8.18511716918498 \tabularnewline
133 & 76.27 & 70.711740891212 & 5.55825910878799 \tabularnewline
134 & 78.19 & 70.7933307345901 & 7.39666926540986 \tabularnewline
135 & 76.49 & 69.0255507947307 & 7.4644492052693 \tabularnewline
136 & 77.31 & 71.1196901081026 & 6.19030989189735 \tabularnewline
137 & 76.65 & 70.6301510478339 & 6.01984895216613 \tabularnewline
138 & 74.99 & 70.2222018309432 & 4.76779816905676 \tabularnewline
139 & 73.51 & 71.9083919274245 & 1.60160807257546 \tabularnewline
140 & 72.07 & 70.7389375056714 & 1.3310624943286 \tabularnewline
141 & 70.59 & 70.9837070358058 & -0.393707035805765 \tabularnewline
142 & 71.96 & 71.3916562526964 & 0.568343747303585 \tabularnewline
143 & 76.29 & 72.3979309876933 & 3.89206901230669 \tabularnewline
144 & 74.86 & 73.2954192648527 & 1.56458073514727 \tabularnewline
145 & 74.93 & 74.3560872287684 & 0.573912771231617 \tabularnewline
146 & 71.9 & 76.7493893011935 & -4.84938930119348 \tabularnewline
147 & 71.01 & 76.3958333132216 & -5.38583331322159 \tabularnewline
148 & 77.47 & 78.4627760121342 & -0.992776012134178 \tabularnewline
149 & 75.78 & 79.7682135061842 & -3.98821350618423 \tabularnewline
150 & 76.6 & 79.8769999640217 & -3.27699996402173 \tabularnewline
151 & 76.07 & 81.4544036026655 & -5.38440360266555 \tabularnewline
152 & 74.57 & 79.9857864218592 & -5.41578642185925 \tabularnewline
153 & 73.02 & 78.0004335663248 & -4.98043356632479 \tabularnewline
154 & 72.65 & 76.3686366987622 & -3.71863669876222 \tabularnewline
155 & 73.16 & 72.6970937467465 & 0.462906253253536 \tabularnewline
156 & 71.53 & 73.6217786383652 & -2.09177863836524 \tabularnewline
157 & 69.78 & 73.0778463491777 & -3.29784634917772 \tabularnewline
158 & 67.98 & 74.3832838432278 & -6.40328384322777 \tabularnewline
159 & 69.96 & 72.370734373234 & -2.41073437323396 \tabularnewline
160 & 72.16 & 72.2075546864777 & -0.0475546864776925 \tabularnewline
161 & 70.47 & 73.6489752528246 & -3.17897525282462 \tabularnewline
162 & 68.86 & 74.7096432167403 & -5.84964321674028 \tabularnewline
163 & 67.37 & 76.8037825301122 & -9.43378253011223 \tabularnewline
164 & 65.87 & 76.0694739397091 & -10.1994739397091 \tabularnewline
165 & 72.16 & 76.0150807107903 & -3.85508071079034 \tabularnewline
166 & 71.34 & 76.1510637830872 & -4.81106378308721 \tabularnewline
167 & 69.93 & 73.8393515540402 & -3.90935155404024 \tabularnewline
168 & 68.44 & 73.7305650962028 & -5.29056509620276 \tabularnewline
169 & 67.16 & 73.8393515540402 & -6.67935155404026 \tabularnewline
170 & 66.01 & 74.546463529984 & -8.53646352998403 \tabularnewline
171 & 67.25 & 72.4523242166121 & -5.20232421661207 \tabularnewline
172 & 70.91 & 73.2682226503933 & -2.35822265039335 \tabularnewline
173 & 69.75 & 72.0443749997214 & -2.29437499972143 \tabularnewline
174 & 68.59 & 71.6908190117496 & -3.10081901174955 \tabularnewline
175 & 67.48 & 70.0318255297276 & -2.5518255297276 \tabularnewline
176 & 66.31 & 67.8288997585181 & -1.51889975851814 \tabularnewline
177 & 64.81 & 66.9586080958181 & -2.14860809581811 \tabularnewline
178 & 66.58 & 67.3393606982494 & -0.759360698249388 \tabularnewline
179 & 65.97 & 66.44187242109 & -0.471872421089975 \tabularnewline
180 & 64.7 & 65.1364349270399 & -0.436434927039919 \tabularnewline
181 & 64.7 & 66.3058893487931 & -1.60588934879309 \tabularnewline
182 & 60.94 & 66.8498216379806 & -5.90982163798062 \tabularnewline
183 & 59.08 & 65.2996146137962 & -6.21961461379618 \tabularnewline
184 & 58.42 & 64.782878939068 & -6.36287893906803 \tabularnewline
185 & 57.77 & 66.0883164331181 & -8.31831643311808 \tabularnewline
186 & 57.11 & 65.1364349270399 & -8.02643492703992 \tabularnewline
187 & 53.31 & 65.8707435174431 & -12.5607435174431 \tabularnewline
188 & 49.96 & 64.8100755535274 & -14.8500755535274 \tabularnewline
189 & 49.4 & 62.7431328546148 & -13.3431328546148 \tabularnewline
190 & 48.84 & 61.5192852039429 & -12.6792852039429 \tabularnewline
191 & 48.3 & 58.7724271435459 & -10.4724271435459 \tabularnewline
192 & 47.74 & 58.0381185531428 & -10.2981185531428 \tabularnewline
193 & 47.24 & 57.7117591796303 & -10.4717591796303 \tabularnewline
194 & 46.76 & 60.4314206255679 & -13.6714206255679 \tabularnewline
195 & 46.29 & 60.7033867701616 & -14.4133867701616 \tabularnewline
196 & 48.9 & 61.1113359870523 & -12.2113359870523 \tabularnewline
197 & 49.23 & 62.1176107220492 & -12.8876107220492 \tabularnewline
198 & 48.53 & 62.6343463967773 & -14.1043463967773 \tabularnewline
199 & 48.03 & 63.042295613668 & -15.012295613668 \tabularnewline
200 & 54.34 & 61.7368581196179 & -7.39685811961791 \tabularnewline
201 & 53.79 & 61.5464818184023 & -7.75648181840229 \tabularnewline
202 & 53.24 & 59.425145890571 & -6.18514589057095 \tabularnewline
203 & 52.96 & 59.9146849508397 & -6.95468495083972 \tabularnewline
204 & 52.17 & 61.1929258304304 & -9.0229258304304 \tabularnewline
205 & 51.7 & 62.5527565533992 & -10.8527565533992 \tabularnewline
206 & 58.55 & 62.5255599389398 & -3.97555993893983 \tabularnewline
207 & 78.2 & 62.1448073365086 & 16.0551926634914 \tabularnewline
208 & 77.03 & 62.1720039509679 & 14.8579960490321 \tabularnewline
209 & 76.19 & 62.6887396256961 & 13.5012603743039 \tabularnewline
210 & 77.15 & 64.4021263366368 & 12.7478736633632 \tabularnewline
211 & 75.87 & 84.6092108799532 & -8.73921087995316 \tabularnewline
212 & 95.47 & 115.586154749182 & -20.1161547491825 \tabularnewline
213 & 109.67 & 114.987829231076 & -5.31782923107619 \tabularnewline
214 & 112.28 & 114.770256315401 & -2.49025631540118 \tabularnewline
215 & 112.01 & 115.640547978101 & -3.63054797810121 \tabularnewline
216 & 107.93 & 112.920886532164 & -4.9908865321636 \tabularnewline
217 & 105.96 & 113.356032363514 & -7.39603236351364 \tabularnewline
218 & 105.06 & 108.895787592176 & -3.83578759217594 \tabularnewline
219 & 102.98 & 105.469014170295 & -2.48901417029457 \tabularnewline
220 & 102.2 & 104.81629542327 & -2.61629542326954 \tabularnewline
221 & 105.23 & 104.35395297746 & 0.876047022539852 \tabularnewline
222 & 101.85 & 104.136380061785 & -2.28638006178515 \tabularnewline
223 & 99.89 & 103.266088399085 & -3.37608839908511 \tabularnewline
224 & 96.23 & 103.91880714611 & -7.68880714611014 \tabularnewline
225 & 94.76 & 102.422993350844 & -7.66299335084446 \tabularnewline
226 & 91.51 & 98.8602368566662 & -7.35023685666619 \tabularnewline
227 & 91.63 & 97.473209519238 & -5.84320951923802 \tabularnewline
228 & 91.54 & 95.7870194227567 & -4.2470194227567 \tabularnewline
229 & 85.23 & 91.0276118923659 & -5.7976118923659 \tabularnewline
230 & 87.83 & 91.3811678803378 & -3.55116788033779 \tabularnewline
231 & 87.38 & 90.2933033019628 & -2.91330330196275 \tabularnewline
232 & 84.44 & 89.6677811693971 & -5.2277811693971 \tabularnewline
233 & 85.19 & 87.4104621692689 & -2.22046216926889 \tabularnewline
234 & 84.03 & 87.2472824825126 & -3.21728248251264 \tabularnewline
235 & 86.73 & 85.6698788438688 & 1.06012115613118 \tabularnewline
236 & 102.52 & 85.9418449884626 & 16.5781550115374 \tabularnewline
237 & 104.45 & 84.3916379642781 & 20.0583620357218 \tabularnewline
238 & 106.98 & 84.6908007233313 & 22.2891992766687 \tabularnewline
239 & 107.02 & 83.0318072413094 & 23.9881927586906 \tabularnewline
240 & 99.26 & 83.6845259883344 & 15.5754740116656 \tabularnewline
241 & 94.45 & 83.4941496871187 & 10.9558503128813 \tabularnewline
242 & 113.44 & 83.9292955184688 & 29.5107044815312 \tabularnewline
243 & 157.33 & 89.2598319525065 & 68.0701680474936 \tabularnewline
244 & 147.38 & 99.6489386759881 & 47.7310613240119 \tabularnewline
245 & 171.89 & 105.496210784754 & 66.393789215246 \tabularnewline
246 & 171.95 & 114.171930797295 & 57.7780692027051 \tabularnewline
247 & 132.71 & 119.61125368917 & 13.0987463108299 \tabularnewline
248 & 126.02 & 120.726314882005 & 5.29368511799547 \tabularnewline
249 & 121.18 & 119.312090930117 & 1.86790906988303 \tabularnewline
250 & 115.45 & 113.192852676757 & 2.25714732324263 \tabularnewline
251 & 110.48 & 110.772353989873 & -0.292353989872902 \tabularnewline
252 & 117.85 & 106.910434736642 & 10.9395652633585 \tabularnewline
253 & 117.63 & 103.211695170166 & 14.4183048298336 \tabularnewline
254 & 124.65 & 101.797471218279 & 22.8525287817212 \tabularnewline
255 & 109.59 & 103.429268085841 & 6.16073191415863 \tabularnewline
256 & 111.27 & 101.416718615848 & 9.85328138415245 \tabularnewline
257 & 99.78 & 99.2137928446381 & 0.566207155361911 \tabularnewline
258 & 98.21 & 96.7117043143755 & 1.4982956856245 \tabularnewline
259 & 99.2 & 96.3037550974849 & 2.89624490251515 \tabularnewline
260 & 97.97 & 94.4815819287066 & 3.48841807129335 \tabularnewline
261 & 89.55 & 92.1970663141191 & -2.64706631411907 \tabularnewline
262 & 87.91 & 89.0150624223721 & -1.10506242237208 \tabularnewline
263 & 93.34 & 88.4439335187252 & 4.89606648127483 \tabularnewline
264 & 94.42 & 87.4648553981877 & 6.95514460181235 \tabularnewline
265 & 93.2 & 87.1656926391345 & 6.0343073608655 \tabularnewline
266 & 90.29 & 86.9753163379189 & 3.31468366208113 \tabularnewline
267 & 91.46 & 88.2807538319689 & 3.17924616803106 \tabularnewline
268 & 89.98 & 88.0087876873752 & 1.97121231262483 \tabularnewline
269 & 88.35 & 88.7974895066971 & -0.447489506697073 \tabularnewline
270 & 88.41 & 86.7849400367032 & 1.62505996329675 \tabularnewline
271 & 82.44 & 86.7577434222439 & -4.31774342224387 \tabularnewline
272 & 79.89 & 86.9753163379189 & -7.08531633791888 \tabularnewline
273 & 75.69 & 86.0234348318407 & -10.3334348318407 \tabularnewline
274 & 75.66 & 88.4439335187252 & -12.7839335187252 \tabularnewline
275 & 84.5 & 84.5004244221157 & -0.000424422115651925 \tabularnewline
276 & 96.73 & 84.7723905667094 & 11.9576094332906 \tabularnewline
277 & 87.48 & 90.021337157369 & -2.54133715736899 \tabularnewline
278 & 82.39 & 93.7472733383035 & -11.3572733383035 \tabularnewline
279 & 83.48 & 92.550622302091 & -9.07062230209096 \tabularnewline
280 & 79.31 & 91.2179881935815 & -11.9079881935815 \tabularnewline
281 & 78.16 & 89.7765676272346 & -11.6165676272346 \tabularnewline
282 & 72.77 & 87.056906181297 & -14.286906181297 \tabularnewline
283 & 72.45 & 87.4648553981877 & -15.0148553981876 \tabularnewline
284 & 68.46 & 87.4104621692689 & -18.9504621692689 \tabularnewline
285 & 67.62 & 84.5548176510344 & -16.9348176510344 \tabularnewline
286 & 68.76 & 83.9564921329281 & -15.1964921329281 \tabularnewline
287 & 70.07 & 81.9439426629343 & -11.8739426629343 \tabularnewline
288 & 68.55 & 81.1008476146936 & -12.5508476146936 \tabularnewline
289 & 65.3 & 81.4272069882062 & -16.1272069882062 \tabularnewline
290 & 58.96 & 81.2368306869905 & -22.2768306869905 \tabularnewline
291 & 59.17 & 80.910471313478 & -21.740471313478 \tabularnewline
292 & 62.37 & 78.8163320001061 & -16.4463320001061 \tabularnewline
293 & 66.28 & 77.9732369518654 & -11.6932369518654 \tabularnewline
294 & 55.62 & 79.5778372049686 & -23.9578372049686 \tabularnewline
295 & 55.23 & 77.9732369518654 & -22.7432369518654 \tabularnewline
296 & 55.85 & 76.5862096144372 & -20.7362096144372 \tabularnewline
297 & 56.75 & 76.0150807107903 & -19.2650807107903 \tabularnewline
298 & 50.89 & 75.7431145661966 & -24.8531145661966 \tabularnewline
299 & 53.88 & 75.0088059757934 & -21.1288059757934 \tabularnewline
300 & 52.95 & 72.9690598913402 & -20.0190598913402 \tabularnewline
301 & 55.08 & 73.5945820239059 & -18.5145820239059 \tabularnewline
302 & 53.61 & 73.8665481684996 & -20.2565481684996 \tabularnewline
303 & 58.78 & 71.5004427105339 & -12.7204427105339 \tabularnewline
304 & 61.85 & 74.6824466022809 & -12.8324466022809 \tabularnewline
305 & 55.91 & 75.6343281083591 & -19.7243281083591 \tabularnewline
306 & 53.32 & 73.6489752528246 & -20.3289752528246 \tabularnewline
307 & 46.41 & 74.7096432167403 & -28.2996432167403 \tabularnewline
308 & 44.57 & 73.4042057226902 & -28.8342057226902 \tabularnewline
309 & 50 & 73.1866328070152 & -23.1866328070152 \tabularnewline
310 & 50 & 71.8539986985058 & -21.8539986985058 \tabularnewline
311 & 53.36 & 72.1259648430996 & -18.7659648430996 \tabularnewline
312 & 46.23 & 70.929313806887 & -24.699313806887 \tabularnewline
313 & 50.45 & 75.3079687348466 & -24.8579687348465 \tabularnewline
314 & 49.07 & 73.2682226503933 & -24.1982226503933 \tabularnewline
315 & 45.85 & 73.5129921805277 & -27.6629921805277 \tabularnewline
316 & 48.45 & 75.5527382649809 & -27.1027382649809 \tabularnewline
317 & 49.96 & 73.6217786383652 & -23.6617786383652 \tabularnewline
318 & 46.53 & 73.458598951609 & -26.928598951609 \tabularnewline
319 & 50.51 & 73.8121549395809 & -23.3021549395809 \tabularnewline
320 & 47.58 & 73.1866328070152 & -25.6066328070152 \tabularnewline
321 & 48.05 & 73.1322395780965 & -25.0822395780965 \tabularnewline
322 & 46.84 & 70.5757578189151 & -23.7357578189151 \tabularnewline
323 & 47.67 & 69.3247135537838 & -21.6547135537838 \tabularnewline
324 & 49.16 & 71.9355885418839 & -22.7755885418839 \tabularnewline
325 & 55.54 & 72.3979309876933 & -16.8579309876933 \tabularnewline
326 & 55.82 & 71.4188528671558 & -15.5988528671558 \tabularnewline
327 & 58.22 & 73.4857955660684 & -15.2657955660684 \tabularnewline
328 & 56.19 & 72.8330768190433 & -16.6430768190433 \tabularnewline
329 & 57.77 & 70.7389375056714 & -12.9689375056714 \tabularnewline
330 & 63.19 & 68.5360117344619 & -5.34601173446193 \tabularnewline
331 & 54.76 & 72.0171783852621 & -17.2571783852621 \tabularnewline
332 & 55.74 & 72.0171783852621 & -16.2771783852621 \tabularnewline
333 & 62.54 & 71.9083919274245 & -9.36839192742455 \tabularnewline
334 & 61.39 & 70.9837070358058 & -9.59370703580577 \tabularnewline
335 & 69.6 & 69.2975169393245 & 0.302483060675537 \tabularnewline
336 & 79.23 & 69.2431237104057 & 9.98687628959429 \tabularnewline
337 & 80 & 76.6677994578153 & 3.33220054218465 \tabularnewline
338 & 93.68 & 73.7033684817434 & 19.9766315182566 \tabularnewline
339 & 107.63 & 75.5799348794403 & 32.0500651205597 \tabularnewline
340 & 100.18 & 81.8623528195562 & 18.3176471804438 \tabularnewline
341 & 97.3 & 84.2828515064406 & 13.0171484935594 \tabularnewline
342 & 90.45 & 86.6489569644064 & 3.80104303559364 \tabularnewline
343 & 80.64 & 84.4188345787375 & -3.77883457873752 \tabularnewline
344 & 80.58 & 88.4439335187252 & -7.86393351872518 \tabularnewline
345 & 75.82 & 87.492052012647 & -11.672052012647 \tabularnewline
346 & 85.59 & 87.492052012647 & -1.90205201264701 \tabularnewline
347 & 89.35 & 83.3037733859031 & 6.04622661409688 \tabularnewline
348 & 89.42 & 81.7263697472593 & 7.6936302527407 \tabularnewline
349 & 104.73 & 81.6447799038812 & 23.0852200961188 \tabularnewline
350 & 95.32 & 80.0673762652374 & 15.2526237347626 \tabularnewline
351 & 89.27 & 78.4083827832154 & 10.8616172167846 \tabularnewline
352 & 90.44 & 78.4083827832154 & 12.0316172167846 \tabularnewline
353 & 86.97 & 78.4083827832154 & 8.56161721678457 \tabularnewline
354 & 79.98 & 78.4083827832154 & 1.57161721678458 \tabularnewline
355 & 81.22 & 78.4083827832154 & 2.81161721678457 \tabularnewline
356 & 87.35 & 78.4083827832154 & 8.94161721678457 \tabularnewline
357 & 83.64 & 78.4083827832154 & 5.23161721678457 \tabularnewline
358 & 82.22 & 78.4083827832154 & 3.81161721678457 \tabularnewline
359 & 94.4 & 78.4083827832154 & 15.9916172167846 \tabularnewline
360 & 102.18 & 78.4083827832154 & 23.7716172167846 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=182533&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]87.28[/C][C]63.0966888425866[/C][C]24.1833111574134[/C][/ROW]
[ROW][C]2[/C][C]87.28[/C][C]69.9502356863495[/C][C]17.3297643136505[/C][/ROW]
[ROW][C]3[/C][C]87.09[/C][C]75.3079687348466[/C][C]11.7820312651535[/C][/ROW]
[ROW][C]4[/C][C]86.92[/C][C]85.9962382173813[/C][C]0.923761782618669[/C][/ROW]
[ROW][C]5[/C][C]87.59[/C][C]95.5150532781629[/C][C]-7.92505327816294[/C][/ROW]
[ROW][C]6[/C][C]90.72[/C][C]100.763999868823[/C][C]-10.0439998688225[/C][/ROW]
[ROW][C]7[/C][C]90.69[/C][C]99.5945454470694[/C][C]-8.90454544706935[/C][/ROW]
[ROW][C]8[/C][C]90.3[/C][C]97.5547993626162[/C][C]-7.25479936261615[/C][/ROW]
[ROW][C]9[/C][C]89.55[/C][C]95.7870194227567[/C][C]-6.23701942275671[/C][/ROW]
[ROW][C]10[/C][C]88.94[/C][C]94.1008293262754[/C][C]-5.16082932627539[/C][/ROW]
[ROW][C]11[/C][C]88.41[/C][C]90.9460220489878[/C][C]-2.53602204898777[/C][/ROW]
[ROW][C]12[/C][C]87.82[/C][C]89.5046014826409[/C][C]-1.68460148264086[/C][/ROW]
[ROW][C]13[/C][C]87.07[/C][C]87.9815910729158[/C][C]-0.911591072915793[/C][/ROW]
[ROW][C]14[/C][C]86.82[/C][C]87.0025129523782[/C][C]-0.18251295237825[/C][/ROW]
[ROW][C]15[/C][C]86.4[/C][C]86.2954009764345[/C][C]0.104599023565529[/C][/ROW]
[ROW][C]16[/C][C]86.02[/C][C]83.0318072413094[/C][C]2.98819275869064[/C][/ROW]
[ROW][C]17[/C][C]85.66[/C][C]81.563190060503[/C][C]4.09680993949696[/C][/ROW]
[ROW][C]18[/C][C]85.32[/C][C]79.2242812169967[/C][C]6.09571878300329[/C][/ROW]
[ROW][C]19[/C][C]85[/C][C]77.7556640361904[/C][C]7.24433596380961[/C][/ROW]
[ROW][C]20[/C][C]84.67[/C][C]73.7033684817434[/C][C]10.9666315182566[/C][/ROW]
[ROW][C]21[/C][C]83.94[/C][C]71.4188528671558[/C][C]12.5211471328442[/C][/ROW]
[ROW][C]22[/C][C]82.83[/C][C]70.2222018309432[/C][C]12.6077981690568[/C][/ROW]
[ROW][C]23[/C][C]81.95[/C][C]69.9774323008089[/C][C]11.9725676991911[/C][/ROW]
[ROW][C]24[/C][C]81.19[/C][C]69.5694830839182[/C][C]11.6205169160818[/C][/ROW]
[ROW][C]25[/C][C]80.48[/C][C]68.400028662165[/C][C]12.079971337835[/C][/ROW]
[ROW][C]26[/C][C]78.86[/C][C]67.2849674693306[/C][C]11.5750325306694[/C][/ROW]
[ROW][C]27[/C][C]69.47[/C][C]65.3812044571743[/C][C]4.0887955428257[/C][/ROW]
[ROW][C]28[/C][C]68.77[/C][C]64.4293229510961[/C][C]4.34067704890386[/C][/ROW]
[ROW][C]29[/C][C]70.06[/C][C]63.912587276368[/C][C]6.147412723632[/C][/ROW]
[ROW][C]30[/C][C]73.95[/C][C]65.1908281559587[/C][C]8.75917184404133[/C][/ROW]
[ROW][C]31[/C][C]75.8[/C][C]71.1740833370214[/C][C]4.6259166629786[/C][/ROW]
[ROW][C]32[/C][C]77.79[/C][C]78.4083827832154[/C][C]-0.618382783215421[/C][/ROW]
[ROW][C]33[/C][C]81.57[/C][C]81.345617144828[/C][C]0.224382855171951[/C][/ROW]
[ROW][C]34[/C][C]83.07[/C][C]82.6782512533375[/C][C]0.391748746662532[/C][/ROW]
[ROW][C]35[/C][C]84.34[/C][C]83.8477056750906[/C][C]0.49229432490937[/C][/ROW]
[ROW][C]36[/C][C]85.1[/C][C]84.3916379642782[/C][C]0.70836203572184[/C][/ROW]
[ROW][C]37[/C][C]85.25[/C][C]81.1552408436124[/C][C]4.0947591563876[/C][/ROW]
[ROW][C]38[/C][C]84.26[/C][C]82.6782512533375[/C][C]1.58174874666254[/C][/ROW]
[ROW][C]39[/C][C]83.63[/C][C]80.7744882411811[/C][C]2.85551175881886[/C][/ROW]
[ROW][C]40[/C][C]86.44[/C][C]79.3330676748342[/C][C]7.10693232516579[/C][/ROW]
[ROW][C]41[/C][C]85.3[/C][C]79.8769999640217[/C][C]5.42300003597827[/C][/ROW]
[ROW][C]42[/C][C]84.1[/C][C]79.2514778314561[/C][C]4.84852216854392[/C][/ROW]
[ROW][C]43[/C][C]83.36[/C][C]81.128044229153[/C][C]2.23195577084697[/C][/ROW]
[ROW][C]44[/C][C]82.48[/C][C]80.2849491809124[/C][C]2.19505081908764[/C][/ROW]
[ROW][C]45[/C][C]81.58[/C][C]77.293321590381[/C][C]4.28667840961899[/C][/ROW]
[ROW][C]46[/C][C]80.47[/C][C]75.6887213372778[/C][C]4.78127866272217[/C][/ROW]
[ROW][C]47[/C][C]79.34[/C][C]71.9355885418839[/C][C]7.40441145811608[/C][/ROW]
[ROW][C]48[/C][C]82.13[/C][C]69.2703203248651[/C][C]12.8596796751349[/C][/ROW]
[ROW][C]49[/C][C]81.69[/C][C]68.3728320477057[/C][C]13.3171679522943[/C][/ROW]
[ROW][C]50[/C][C]80.7[/C][C]64.130160192043[/C][C]16.569839807957[/C][/ROW]
[ROW][C]51[/C][C]79.88[/C][C]62.6343463967773[/C][C]17.2456536032227[/C][/ROW]
[ROW][C]52[/C][C]79.16[/C][C]62.0088242642117[/C][C]17.1511757357883[/C][/ROW]
[ROW][C]53[/C][C]78.38[/C][C]61.3017122882679[/C][C]17.0782877117321[/C][/ROW]
[ROW][C]54[/C][C]77.42[/C][C]61.600875047321[/C][C]15.819124952679[/C][/ROW]
[ROW][C]55[/C][C]76.47[/C][C]60.6761901557023[/C][C]15.7938098442977[/C][/ROW]
[ROW][C]56[/C][C]75.46[/C][C]60.2410443243522[/C][C]15.2189556756478[/C][/ROW]
[ROW][C]57[/C][C]74.48[/C][C]59.9962747942179[/C][C]14.4837252057822[/C][/ROW]
[ROW][C]58[/C][C]78.27[/C][C]60.1050612520553[/C][C]18.1649387479446[/C][/ROW]
[ROW][C]59[/C][C]80.7[/C][C]59.2347695893553[/C][C]21.4652304106447[/C][/ROW]
[ROW][C]60[/C][C]79.91[/C][C]61.6824648906992[/C][C]18.2275351093008[/C][/ROW]
[ROW][C]61[/C][C]78.75[/C][C]61.1929258304304[/C][C]17.5570741695696[/C][/ROW]
[ROW][C]62[/C][C]77.78[/C][C]64.2933398787993[/C][C]13.4866601212007[/C][/ROW]
[ROW][C]63[/C][C]81.14[/C][C]64.5925026378524[/C][C]16.5474973621476[/C][/ROW]
[ROW][C]64[/C][C]81.08[/C][C]64.6740924812305[/C][C]16.4059075187695[/C][/ROW]
[ROW][C]65[/C][C]80.03[/C][C]64.8100755535274[/C][C]15.2199244464726[/C][/ROW]
[ROW][C]66[/C][C]78.91[/C][C]64.3205364932586[/C][C]14.5894635067414[/C][/ROW]
[ROW][C]67[/C][C]78.01[/C][C]63.5318346739367[/C][C]14.4781653260633[/C][/ROW]
[ROW][C]68[/C][C]76.9[/C][C]63.8853906619086[/C][C]13.0146093380914[/C][/ROW]
[ROW][C]69[/C][C]75.97[/C][C]63.5046380594774[/C][C]12.4653619405226[/C][/ROW]
[ROW][C]70[/C][C]81.93[/C][C]62.8791159269117[/C][C]19.0508840730883[/C][/ROW]
[ROW][C]71[/C][C]80.27[/C][C]62.6343463967773[/C][C]17.6356536032227[/C][/ROW]
[ROW][C]72[/C][C]78.67[/C][C]62.7703294690742[/C][C]15.8996705309258[/C][/ROW]
[ROW][C]73[/C][C]77.42[/C][C]63.2326719148836[/C][C]14.1873280851164[/C][/ROW]
[ROW][C]74[/C][C]76.16[/C][C]63.6678177462336[/C][C]12.4921822537664[/C][/ROW]
[ROW][C]75[/C][C]74.7[/C][C]63.7222109751524[/C][C]10.9777890248476[/C][/ROW]
[ROW][C]76[/C][C]76.39[/C][C]62.6071497823179[/C][C]13.7828502176821[/C][/ROW]
[ROW][C]77[/C][C]76.04[/C][C]62.4983633244805[/C][C]13.5416366755196[/C][/ROW]
[ROW][C]78[/C][C]74.65[/C][C]62.2807904088054[/C][C]12.3692095911946[/C][/ROW]
[ROW][C]79[/C][C]73.29[/C][C]61.9272344208335[/C][C]11.3627655791665[/C][/ROW]
[ROW][C]80[/C][C]71.79[/C][C]62.3351836377242[/C][C]9.45481636227582[/C][/ROW]
[ROW][C]81[/C][C]74.39[/C][C]61.7368581196179[/C][C]12.6531418803821[/C][/ROW]
[ROW][C]82[/C][C]74.91[/C][C]62.0088242642117[/C][C]12.9011757357883[/C][/ROW]
[ROW][C]83[/C][C]74.54[/C][C]62.6615430112367[/C][C]11.8784569887633[/C][/ROW]
[ROW][C]84[/C][C]73.08[/C][C]62.0632174931304[/C][C]11.0167825068696[/C][/ROW]
[ROW][C]85[/C][C]72.75[/C][C]63.259868529343[/C][C]9.49013147065703[/C][/ROW]
[ROW][C]86[/C][C]71.32[/C][C]64.7556823246087[/C][C]6.56431767539133[/C][/ROW]
[ROW][C]87[/C][C]70.38[/C][C]64.1573568065024[/C][C]6.22264319349762[/C][/ROW]
[ROW][C]88[/C][C]70.35[/C][C]64.4293229510961[/C][C]5.92067704890386[/C][/ROW]
[ROW][C]89[/C][C]70.01[/C][C]64.782878939068[/C][C]5.22712106093198[/C][/ROW]
[ROW][C]90[/C][C]69.36[/C][C]65.7347604451462[/C][C]3.62523955485381[/C][/ROW]
[ROW][C]91[/C][C]67.77[/C][C]66.3874791921712[/C][C]1.38252080782877[/C][/ROW]
[ROW][C]92[/C][C]69.26[/C][C]66.1971028909556[/C][C]3.06289710904442[/C][/ROW]
[ROW][C]93[/C][C]69.8[/C][C]66.5506588789275[/C][C]3.24934112107252[/C][/ROW]
[ROW][C]94[/C][C]68.38[/C][C]66.7954284090619[/C][C]1.58457159093813[/C][/ROW]
[ROW][C]95[/C][C]67.62[/C][C]66.4962656500087[/C][C]1.12373434999128[/C][/ROW]
[ROW][C]96[/C][C]68.39[/C][C]66.7682317946025[/C][C]1.62176820539752[/C][/ROW]
[ROW][C]97[/C][C]66.95[/C][C]66.7682317946025[/C][C]0.181768205397519[/C][/ROW]
[ROW][C]98[/C][C]65.21[/C][C]67.31216408379[/C][C]-2.10216408379001[/C][/ROW]
[ROW][C]99[/C][C]66.64[/C][C]67.4209505416275[/C][C]-0.780950541627501[/C][/ROW]
[ROW][C]100[/C][C]63.45[/C][C]67.2033776259525[/C][C]-3.7533776259525[/C][/ROW]
[ROW][C]101[/C][C]60.66[/C][C]66.9858047102775[/C][C]-6.3258047102775[/C][/ROW]
[ROW][C]102[/C][C]62.34[/C][C]67.1217877825744[/C][C]-4.78178778257437[/C][/ROW]
[ROW][C]103[/C][C]60.32[/C][C]67.2033776259525[/C][C]-6.88337762595251[/C][/ROW]
[ROW][C]104[/C][C]58.64[/C][C]65.7891536740649[/C][C]-7.14915367406494[/C][/ROW]
[ROW][C]105[/C][C]60.46[/C][C]65.4627943005524[/C][C]-5.00279430055243[/C][/ROW]
[ROW][C]106[/C][C]58.59[/C][C]65.7619570596056[/C][C]-7.17195705960557[/C][/ROW]
[ROW][C]107[/C][C]61.87[/C][C]65.4627943005524[/C][C]-3.59279430055243[/C][/ROW]
[ROW][C]108[/C][C]61.85[/C][C]63.3414583727211[/C][C]-1.4914583727211[/C][/ROW]
[ROW][C]109[/C][C]67.44[/C][C]68.8623711079744[/C][C]-1.42237110797444[/C][/ROW]
[ROW][C]110[/C][C]77.06[/C][C]91.6803306393909[/C][C]-14.6203306393909[/C][/ROW]
[ROW][C]111[/C][C]91.74[/C][C]97.2284399891036[/C][C]-5.48843998910364[/C][/ROW]
[ROW][C]112[/C][C]93.15[/C][C]95.3790702058661[/C][C]-2.22907020586606[/C][/ROW]
[ROW][C]113[/C][C]94.15[/C][C]94.3184022419504[/C][C]-0.168402241950398[/C][/ROW]
[ROW][C]114[/C][C]93.11[/C][C]93.4481105792504[/C][C]-0.338110579250378[/C][/ROW]
[ROW][C]115[/C][C]91.51[/C][C]91.4627577237159[/C][C]0.0472422762840832[/C][/ROW]
[ROW][C]116[/C][C]89.96[/C][C]87.7912147717002[/C][C]2.16878522829983[/C][/ROW]
[ROW][C]117[/C][C]88.16[/C][C]82.4606783376624[/C][C]5.69932166233755[/C][/ROW]
[ROW][C]118[/C][C]86.98[/C][C]81.9983358918531[/C][C]4.98166410814694[/C][/ROW]
[ROW][C]119[/C][C]88.03[/C][C]82.9774140123906[/C][C]5.0525859876094[/C][/ROW]
[ROW][C]120[/C][C]86.24[/C][C]82.8142343256343[/C][C]3.42576567436565[/C][/ROW]
[ROW][C]121[/C][C]84.65[/C][C]81.9711392773937[/C][C]2.67886072260633[/C][/ROW]
[ROW][C]122[/C][C]83.23[/C][C]79.822606735103[/C][C]3.40739326489703[/C][/ROW]
[ROW][C]123[/C][C]81.7[/C][C]78.2995963253779[/C][C]3.40040367462209[/C][/ROW]
[ROW][C]124[/C][C]80.25[/C][C]75.7431145661966[/C][C]4.50688543380343[/C][/ROW]
[ROW][C]125[/C][C]78.8[/C][C]73.0778463491777[/C][C]5.72215365082228[/C][/ROW]
[ROW][C]126[/C][C]77.51[/C][C]72.7242903612058[/C][C]4.78570963879418[/C][/ROW]
[ROW][C]127[/C][C]76.2[/C][C]71.9083919274245[/C][C]4.29160807257546[/C][/ROW]
[ROW][C]128[/C][C]75.04[/C][C]69.2703203248651[/C][C]5.76967967513493[/C][/ROW]
[ROW][C]129[/C][C]74[/C][C]70.3309882887807[/C][C]3.66901171121925[/C][/ROW]
[ROW][C]130[/C][C]75.49[/C][C]72.0715716141808[/C][C]3.41842838581919[/C][/ROW]
[ROW][C]131[/C][C]77.14[/C][C]68.8079778790557[/C][C]8.33202212094431[/C][/ROW]
[ROW][C]132[/C][C]76.15[/C][C]67.964882830815[/C][C]8.18511716918498[/C][/ROW]
[ROW][C]133[/C][C]76.27[/C][C]70.711740891212[/C][C]5.55825910878799[/C][/ROW]
[ROW][C]134[/C][C]78.19[/C][C]70.7933307345901[/C][C]7.39666926540986[/C][/ROW]
[ROW][C]135[/C][C]76.49[/C][C]69.0255507947307[/C][C]7.4644492052693[/C][/ROW]
[ROW][C]136[/C][C]77.31[/C][C]71.1196901081026[/C][C]6.19030989189735[/C][/ROW]
[ROW][C]137[/C][C]76.65[/C][C]70.6301510478339[/C][C]6.01984895216613[/C][/ROW]
[ROW][C]138[/C][C]74.99[/C][C]70.2222018309432[/C][C]4.76779816905676[/C][/ROW]
[ROW][C]139[/C][C]73.51[/C][C]71.9083919274245[/C][C]1.60160807257546[/C][/ROW]
[ROW][C]140[/C][C]72.07[/C][C]70.7389375056714[/C][C]1.3310624943286[/C][/ROW]
[ROW][C]141[/C][C]70.59[/C][C]70.9837070358058[/C][C]-0.393707035805765[/C][/ROW]
[ROW][C]142[/C][C]71.96[/C][C]71.3916562526964[/C][C]0.568343747303585[/C][/ROW]
[ROW][C]143[/C][C]76.29[/C][C]72.3979309876933[/C][C]3.89206901230669[/C][/ROW]
[ROW][C]144[/C][C]74.86[/C][C]73.2954192648527[/C][C]1.56458073514727[/C][/ROW]
[ROW][C]145[/C][C]74.93[/C][C]74.3560872287684[/C][C]0.573912771231617[/C][/ROW]
[ROW][C]146[/C][C]71.9[/C][C]76.7493893011935[/C][C]-4.84938930119348[/C][/ROW]
[ROW][C]147[/C][C]71.01[/C][C]76.3958333132216[/C][C]-5.38583331322159[/C][/ROW]
[ROW][C]148[/C][C]77.47[/C][C]78.4627760121342[/C][C]-0.992776012134178[/C][/ROW]
[ROW][C]149[/C][C]75.78[/C][C]79.7682135061842[/C][C]-3.98821350618423[/C][/ROW]
[ROW][C]150[/C][C]76.6[/C][C]79.8769999640217[/C][C]-3.27699996402173[/C][/ROW]
[ROW][C]151[/C][C]76.07[/C][C]81.4544036026655[/C][C]-5.38440360266555[/C][/ROW]
[ROW][C]152[/C][C]74.57[/C][C]79.9857864218592[/C][C]-5.41578642185925[/C][/ROW]
[ROW][C]153[/C][C]73.02[/C][C]78.0004335663248[/C][C]-4.98043356632479[/C][/ROW]
[ROW][C]154[/C][C]72.65[/C][C]76.3686366987622[/C][C]-3.71863669876222[/C][/ROW]
[ROW][C]155[/C][C]73.16[/C][C]72.6970937467465[/C][C]0.462906253253536[/C][/ROW]
[ROW][C]156[/C][C]71.53[/C][C]73.6217786383652[/C][C]-2.09177863836524[/C][/ROW]
[ROW][C]157[/C][C]69.78[/C][C]73.0778463491777[/C][C]-3.29784634917772[/C][/ROW]
[ROW][C]158[/C][C]67.98[/C][C]74.3832838432278[/C][C]-6.40328384322777[/C][/ROW]
[ROW][C]159[/C][C]69.96[/C][C]72.370734373234[/C][C]-2.41073437323396[/C][/ROW]
[ROW][C]160[/C][C]72.16[/C][C]72.2075546864777[/C][C]-0.0475546864776925[/C][/ROW]
[ROW][C]161[/C][C]70.47[/C][C]73.6489752528246[/C][C]-3.17897525282462[/C][/ROW]
[ROW][C]162[/C][C]68.86[/C][C]74.7096432167403[/C][C]-5.84964321674028[/C][/ROW]
[ROW][C]163[/C][C]67.37[/C][C]76.8037825301122[/C][C]-9.43378253011223[/C][/ROW]
[ROW][C]164[/C][C]65.87[/C][C]76.0694739397091[/C][C]-10.1994739397091[/C][/ROW]
[ROW][C]165[/C][C]72.16[/C][C]76.0150807107903[/C][C]-3.85508071079034[/C][/ROW]
[ROW][C]166[/C][C]71.34[/C][C]76.1510637830872[/C][C]-4.81106378308721[/C][/ROW]
[ROW][C]167[/C][C]69.93[/C][C]73.8393515540402[/C][C]-3.90935155404024[/C][/ROW]
[ROW][C]168[/C][C]68.44[/C][C]73.7305650962028[/C][C]-5.29056509620276[/C][/ROW]
[ROW][C]169[/C][C]67.16[/C][C]73.8393515540402[/C][C]-6.67935155404026[/C][/ROW]
[ROW][C]170[/C][C]66.01[/C][C]74.546463529984[/C][C]-8.53646352998403[/C][/ROW]
[ROW][C]171[/C][C]67.25[/C][C]72.4523242166121[/C][C]-5.20232421661207[/C][/ROW]
[ROW][C]172[/C][C]70.91[/C][C]73.2682226503933[/C][C]-2.35822265039335[/C][/ROW]
[ROW][C]173[/C][C]69.75[/C][C]72.0443749997214[/C][C]-2.29437499972143[/C][/ROW]
[ROW][C]174[/C][C]68.59[/C][C]71.6908190117496[/C][C]-3.10081901174955[/C][/ROW]
[ROW][C]175[/C][C]67.48[/C][C]70.0318255297276[/C][C]-2.5518255297276[/C][/ROW]
[ROW][C]176[/C][C]66.31[/C][C]67.8288997585181[/C][C]-1.51889975851814[/C][/ROW]
[ROW][C]177[/C][C]64.81[/C][C]66.9586080958181[/C][C]-2.14860809581811[/C][/ROW]
[ROW][C]178[/C][C]66.58[/C][C]67.3393606982494[/C][C]-0.759360698249388[/C][/ROW]
[ROW][C]179[/C][C]65.97[/C][C]66.44187242109[/C][C]-0.471872421089975[/C][/ROW]
[ROW][C]180[/C][C]64.7[/C][C]65.1364349270399[/C][C]-0.436434927039919[/C][/ROW]
[ROW][C]181[/C][C]64.7[/C][C]66.3058893487931[/C][C]-1.60588934879309[/C][/ROW]
[ROW][C]182[/C][C]60.94[/C][C]66.8498216379806[/C][C]-5.90982163798062[/C][/ROW]
[ROW][C]183[/C][C]59.08[/C][C]65.2996146137962[/C][C]-6.21961461379618[/C][/ROW]
[ROW][C]184[/C][C]58.42[/C][C]64.782878939068[/C][C]-6.36287893906803[/C][/ROW]
[ROW][C]185[/C][C]57.77[/C][C]66.0883164331181[/C][C]-8.31831643311808[/C][/ROW]
[ROW][C]186[/C][C]57.11[/C][C]65.1364349270399[/C][C]-8.02643492703992[/C][/ROW]
[ROW][C]187[/C][C]53.31[/C][C]65.8707435174431[/C][C]-12.5607435174431[/C][/ROW]
[ROW][C]188[/C][C]49.96[/C][C]64.8100755535274[/C][C]-14.8500755535274[/C][/ROW]
[ROW][C]189[/C][C]49.4[/C][C]62.7431328546148[/C][C]-13.3431328546148[/C][/ROW]
[ROW][C]190[/C][C]48.84[/C][C]61.5192852039429[/C][C]-12.6792852039429[/C][/ROW]
[ROW][C]191[/C][C]48.3[/C][C]58.7724271435459[/C][C]-10.4724271435459[/C][/ROW]
[ROW][C]192[/C][C]47.74[/C][C]58.0381185531428[/C][C]-10.2981185531428[/C][/ROW]
[ROW][C]193[/C][C]47.24[/C][C]57.7117591796303[/C][C]-10.4717591796303[/C][/ROW]
[ROW][C]194[/C][C]46.76[/C][C]60.4314206255679[/C][C]-13.6714206255679[/C][/ROW]
[ROW][C]195[/C][C]46.29[/C][C]60.7033867701616[/C][C]-14.4133867701616[/C][/ROW]
[ROW][C]196[/C][C]48.9[/C][C]61.1113359870523[/C][C]-12.2113359870523[/C][/ROW]
[ROW][C]197[/C][C]49.23[/C][C]62.1176107220492[/C][C]-12.8876107220492[/C][/ROW]
[ROW][C]198[/C][C]48.53[/C][C]62.6343463967773[/C][C]-14.1043463967773[/C][/ROW]
[ROW][C]199[/C][C]48.03[/C][C]63.042295613668[/C][C]-15.012295613668[/C][/ROW]
[ROW][C]200[/C][C]54.34[/C][C]61.7368581196179[/C][C]-7.39685811961791[/C][/ROW]
[ROW][C]201[/C][C]53.79[/C][C]61.5464818184023[/C][C]-7.75648181840229[/C][/ROW]
[ROW][C]202[/C][C]53.24[/C][C]59.425145890571[/C][C]-6.18514589057095[/C][/ROW]
[ROW][C]203[/C][C]52.96[/C][C]59.9146849508397[/C][C]-6.95468495083972[/C][/ROW]
[ROW][C]204[/C][C]52.17[/C][C]61.1929258304304[/C][C]-9.0229258304304[/C][/ROW]
[ROW][C]205[/C][C]51.7[/C][C]62.5527565533992[/C][C]-10.8527565533992[/C][/ROW]
[ROW][C]206[/C][C]58.55[/C][C]62.5255599389398[/C][C]-3.97555993893983[/C][/ROW]
[ROW][C]207[/C][C]78.2[/C][C]62.1448073365086[/C][C]16.0551926634914[/C][/ROW]
[ROW][C]208[/C][C]77.03[/C][C]62.1720039509679[/C][C]14.8579960490321[/C][/ROW]
[ROW][C]209[/C][C]76.19[/C][C]62.6887396256961[/C][C]13.5012603743039[/C][/ROW]
[ROW][C]210[/C][C]77.15[/C][C]64.4021263366368[/C][C]12.7478736633632[/C][/ROW]
[ROW][C]211[/C][C]75.87[/C][C]84.6092108799532[/C][C]-8.73921087995316[/C][/ROW]
[ROW][C]212[/C][C]95.47[/C][C]115.586154749182[/C][C]-20.1161547491825[/C][/ROW]
[ROW][C]213[/C][C]109.67[/C][C]114.987829231076[/C][C]-5.31782923107619[/C][/ROW]
[ROW][C]214[/C][C]112.28[/C][C]114.770256315401[/C][C]-2.49025631540118[/C][/ROW]
[ROW][C]215[/C][C]112.01[/C][C]115.640547978101[/C][C]-3.63054797810121[/C][/ROW]
[ROW][C]216[/C][C]107.93[/C][C]112.920886532164[/C][C]-4.9908865321636[/C][/ROW]
[ROW][C]217[/C][C]105.96[/C][C]113.356032363514[/C][C]-7.39603236351364[/C][/ROW]
[ROW][C]218[/C][C]105.06[/C][C]108.895787592176[/C][C]-3.83578759217594[/C][/ROW]
[ROW][C]219[/C][C]102.98[/C][C]105.469014170295[/C][C]-2.48901417029457[/C][/ROW]
[ROW][C]220[/C][C]102.2[/C][C]104.81629542327[/C][C]-2.61629542326954[/C][/ROW]
[ROW][C]221[/C][C]105.23[/C][C]104.35395297746[/C][C]0.876047022539852[/C][/ROW]
[ROW][C]222[/C][C]101.85[/C][C]104.136380061785[/C][C]-2.28638006178515[/C][/ROW]
[ROW][C]223[/C][C]99.89[/C][C]103.266088399085[/C][C]-3.37608839908511[/C][/ROW]
[ROW][C]224[/C][C]96.23[/C][C]103.91880714611[/C][C]-7.68880714611014[/C][/ROW]
[ROW][C]225[/C][C]94.76[/C][C]102.422993350844[/C][C]-7.66299335084446[/C][/ROW]
[ROW][C]226[/C][C]91.51[/C][C]98.8602368566662[/C][C]-7.35023685666619[/C][/ROW]
[ROW][C]227[/C][C]91.63[/C][C]97.473209519238[/C][C]-5.84320951923802[/C][/ROW]
[ROW][C]228[/C][C]91.54[/C][C]95.7870194227567[/C][C]-4.2470194227567[/C][/ROW]
[ROW][C]229[/C][C]85.23[/C][C]91.0276118923659[/C][C]-5.7976118923659[/C][/ROW]
[ROW][C]230[/C][C]87.83[/C][C]91.3811678803378[/C][C]-3.55116788033779[/C][/ROW]
[ROW][C]231[/C][C]87.38[/C][C]90.2933033019628[/C][C]-2.91330330196275[/C][/ROW]
[ROW][C]232[/C][C]84.44[/C][C]89.6677811693971[/C][C]-5.2277811693971[/C][/ROW]
[ROW][C]233[/C][C]85.19[/C][C]87.4104621692689[/C][C]-2.22046216926889[/C][/ROW]
[ROW][C]234[/C][C]84.03[/C][C]87.2472824825126[/C][C]-3.21728248251264[/C][/ROW]
[ROW][C]235[/C][C]86.73[/C][C]85.6698788438688[/C][C]1.06012115613118[/C][/ROW]
[ROW][C]236[/C][C]102.52[/C][C]85.9418449884626[/C][C]16.5781550115374[/C][/ROW]
[ROW][C]237[/C][C]104.45[/C][C]84.3916379642781[/C][C]20.0583620357218[/C][/ROW]
[ROW][C]238[/C][C]106.98[/C][C]84.6908007233313[/C][C]22.2891992766687[/C][/ROW]
[ROW][C]239[/C][C]107.02[/C][C]83.0318072413094[/C][C]23.9881927586906[/C][/ROW]
[ROW][C]240[/C][C]99.26[/C][C]83.6845259883344[/C][C]15.5754740116656[/C][/ROW]
[ROW][C]241[/C][C]94.45[/C][C]83.4941496871187[/C][C]10.9558503128813[/C][/ROW]
[ROW][C]242[/C][C]113.44[/C][C]83.9292955184688[/C][C]29.5107044815312[/C][/ROW]
[ROW][C]243[/C][C]157.33[/C][C]89.2598319525065[/C][C]68.0701680474936[/C][/ROW]
[ROW][C]244[/C][C]147.38[/C][C]99.6489386759881[/C][C]47.7310613240119[/C][/ROW]
[ROW][C]245[/C][C]171.89[/C][C]105.496210784754[/C][C]66.393789215246[/C][/ROW]
[ROW][C]246[/C][C]171.95[/C][C]114.171930797295[/C][C]57.7780692027051[/C][/ROW]
[ROW][C]247[/C][C]132.71[/C][C]119.61125368917[/C][C]13.0987463108299[/C][/ROW]
[ROW][C]248[/C][C]126.02[/C][C]120.726314882005[/C][C]5.29368511799547[/C][/ROW]
[ROW][C]249[/C][C]121.18[/C][C]119.312090930117[/C][C]1.86790906988303[/C][/ROW]
[ROW][C]250[/C][C]115.45[/C][C]113.192852676757[/C][C]2.25714732324263[/C][/ROW]
[ROW][C]251[/C][C]110.48[/C][C]110.772353989873[/C][C]-0.292353989872902[/C][/ROW]
[ROW][C]252[/C][C]117.85[/C][C]106.910434736642[/C][C]10.9395652633585[/C][/ROW]
[ROW][C]253[/C][C]117.63[/C][C]103.211695170166[/C][C]14.4183048298336[/C][/ROW]
[ROW][C]254[/C][C]124.65[/C][C]101.797471218279[/C][C]22.8525287817212[/C][/ROW]
[ROW][C]255[/C][C]109.59[/C][C]103.429268085841[/C][C]6.16073191415863[/C][/ROW]
[ROW][C]256[/C][C]111.27[/C][C]101.416718615848[/C][C]9.85328138415245[/C][/ROW]
[ROW][C]257[/C][C]99.78[/C][C]99.2137928446381[/C][C]0.566207155361911[/C][/ROW]
[ROW][C]258[/C][C]98.21[/C][C]96.7117043143755[/C][C]1.4982956856245[/C][/ROW]
[ROW][C]259[/C][C]99.2[/C][C]96.3037550974849[/C][C]2.89624490251515[/C][/ROW]
[ROW][C]260[/C][C]97.97[/C][C]94.4815819287066[/C][C]3.48841807129335[/C][/ROW]
[ROW][C]261[/C][C]89.55[/C][C]92.1970663141191[/C][C]-2.64706631411907[/C][/ROW]
[ROW][C]262[/C][C]87.91[/C][C]89.0150624223721[/C][C]-1.10506242237208[/C][/ROW]
[ROW][C]263[/C][C]93.34[/C][C]88.4439335187252[/C][C]4.89606648127483[/C][/ROW]
[ROW][C]264[/C][C]94.42[/C][C]87.4648553981877[/C][C]6.95514460181235[/C][/ROW]
[ROW][C]265[/C][C]93.2[/C][C]87.1656926391345[/C][C]6.0343073608655[/C][/ROW]
[ROW][C]266[/C][C]90.29[/C][C]86.9753163379189[/C][C]3.31468366208113[/C][/ROW]
[ROW][C]267[/C][C]91.46[/C][C]88.2807538319689[/C][C]3.17924616803106[/C][/ROW]
[ROW][C]268[/C][C]89.98[/C][C]88.0087876873752[/C][C]1.97121231262483[/C][/ROW]
[ROW][C]269[/C][C]88.35[/C][C]88.7974895066971[/C][C]-0.447489506697073[/C][/ROW]
[ROW][C]270[/C][C]88.41[/C][C]86.7849400367032[/C][C]1.62505996329675[/C][/ROW]
[ROW][C]271[/C][C]82.44[/C][C]86.7577434222439[/C][C]-4.31774342224387[/C][/ROW]
[ROW][C]272[/C][C]79.89[/C][C]86.9753163379189[/C][C]-7.08531633791888[/C][/ROW]
[ROW][C]273[/C][C]75.69[/C][C]86.0234348318407[/C][C]-10.3334348318407[/C][/ROW]
[ROW][C]274[/C][C]75.66[/C][C]88.4439335187252[/C][C]-12.7839335187252[/C][/ROW]
[ROW][C]275[/C][C]84.5[/C][C]84.5004244221157[/C][C]-0.000424422115651925[/C][/ROW]
[ROW][C]276[/C][C]96.73[/C][C]84.7723905667094[/C][C]11.9576094332906[/C][/ROW]
[ROW][C]277[/C][C]87.48[/C][C]90.021337157369[/C][C]-2.54133715736899[/C][/ROW]
[ROW][C]278[/C][C]82.39[/C][C]93.7472733383035[/C][C]-11.3572733383035[/C][/ROW]
[ROW][C]279[/C][C]83.48[/C][C]92.550622302091[/C][C]-9.07062230209096[/C][/ROW]
[ROW][C]280[/C][C]79.31[/C][C]91.2179881935815[/C][C]-11.9079881935815[/C][/ROW]
[ROW][C]281[/C][C]78.16[/C][C]89.7765676272346[/C][C]-11.6165676272346[/C][/ROW]
[ROW][C]282[/C][C]72.77[/C][C]87.056906181297[/C][C]-14.286906181297[/C][/ROW]
[ROW][C]283[/C][C]72.45[/C][C]87.4648553981877[/C][C]-15.0148553981876[/C][/ROW]
[ROW][C]284[/C][C]68.46[/C][C]87.4104621692689[/C][C]-18.9504621692689[/C][/ROW]
[ROW][C]285[/C][C]67.62[/C][C]84.5548176510344[/C][C]-16.9348176510344[/C][/ROW]
[ROW][C]286[/C][C]68.76[/C][C]83.9564921329281[/C][C]-15.1964921329281[/C][/ROW]
[ROW][C]287[/C][C]70.07[/C][C]81.9439426629343[/C][C]-11.8739426629343[/C][/ROW]
[ROW][C]288[/C][C]68.55[/C][C]81.1008476146936[/C][C]-12.5508476146936[/C][/ROW]
[ROW][C]289[/C][C]65.3[/C][C]81.4272069882062[/C][C]-16.1272069882062[/C][/ROW]
[ROW][C]290[/C][C]58.96[/C][C]81.2368306869905[/C][C]-22.2768306869905[/C][/ROW]
[ROW][C]291[/C][C]59.17[/C][C]80.910471313478[/C][C]-21.740471313478[/C][/ROW]
[ROW][C]292[/C][C]62.37[/C][C]78.8163320001061[/C][C]-16.4463320001061[/C][/ROW]
[ROW][C]293[/C][C]66.28[/C][C]77.9732369518654[/C][C]-11.6932369518654[/C][/ROW]
[ROW][C]294[/C][C]55.62[/C][C]79.5778372049686[/C][C]-23.9578372049686[/C][/ROW]
[ROW][C]295[/C][C]55.23[/C][C]77.9732369518654[/C][C]-22.7432369518654[/C][/ROW]
[ROW][C]296[/C][C]55.85[/C][C]76.5862096144372[/C][C]-20.7362096144372[/C][/ROW]
[ROW][C]297[/C][C]56.75[/C][C]76.0150807107903[/C][C]-19.2650807107903[/C][/ROW]
[ROW][C]298[/C][C]50.89[/C][C]75.7431145661966[/C][C]-24.8531145661966[/C][/ROW]
[ROW][C]299[/C][C]53.88[/C][C]75.0088059757934[/C][C]-21.1288059757934[/C][/ROW]
[ROW][C]300[/C][C]52.95[/C][C]72.9690598913402[/C][C]-20.0190598913402[/C][/ROW]
[ROW][C]301[/C][C]55.08[/C][C]73.5945820239059[/C][C]-18.5145820239059[/C][/ROW]
[ROW][C]302[/C][C]53.61[/C][C]73.8665481684996[/C][C]-20.2565481684996[/C][/ROW]
[ROW][C]303[/C][C]58.78[/C][C]71.5004427105339[/C][C]-12.7204427105339[/C][/ROW]
[ROW][C]304[/C][C]61.85[/C][C]74.6824466022809[/C][C]-12.8324466022809[/C][/ROW]
[ROW][C]305[/C][C]55.91[/C][C]75.6343281083591[/C][C]-19.7243281083591[/C][/ROW]
[ROW][C]306[/C][C]53.32[/C][C]73.6489752528246[/C][C]-20.3289752528246[/C][/ROW]
[ROW][C]307[/C][C]46.41[/C][C]74.7096432167403[/C][C]-28.2996432167403[/C][/ROW]
[ROW][C]308[/C][C]44.57[/C][C]73.4042057226902[/C][C]-28.8342057226902[/C][/ROW]
[ROW][C]309[/C][C]50[/C][C]73.1866328070152[/C][C]-23.1866328070152[/C][/ROW]
[ROW][C]310[/C][C]50[/C][C]71.8539986985058[/C][C]-21.8539986985058[/C][/ROW]
[ROW][C]311[/C][C]53.36[/C][C]72.1259648430996[/C][C]-18.7659648430996[/C][/ROW]
[ROW][C]312[/C][C]46.23[/C][C]70.929313806887[/C][C]-24.699313806887[/C][/ROW]
[ROW][C]313[/C][C]50.45[/C][C]75.3079687348466[/C][C]-24.8579687348465[/C][/ROW]
[ROW][C]314[/C][C]49.07[/C][C]73.2682226503933[/C][C]-24.1982226503933[/C][/ROW]
[ROW][C]315[/C][C]45.85[/C][C]73.5129921805277[/C][C]-27.6629921805277[/C][/ROW]
[ROW][C]316[/C][C]48.45[/C][C]75.5527382649809[/C][C]-27.1027382649809[/C][/ROW]
[ROW][C]317[/C][C]49.96[/C][C]73.6217786383652[/C][C]-23.6617786383652[/C][/ROW]
[ROW][C]318[/C][C]46.53[/C][C]73.458598951609[/C][C]-26.928598951609[/C][/ROW]
[ROW][C]319[/C][C]50.51[/C][C]73.8121549395809[/C][C]-23.3021549395809[/C][/ROW]
[ROW][C]320[/C][C]47.58[/C][C]73.1866328070152[/C][C]-25.6066328070152[/C][/ROW]
[ROW][C]321[/C][C]48.05[/C][C]73.1322395780965[/C][C]-25.0822395780965[/C][/ROW]
[ROW][C]322[/C][C]46.84[/C][C]70.5757578189151[/C][C]-23.7357578189151[/C][/ROW]
[ROW][C]323[/C][C]47.67[/C][C]69.3247135537838[/C][C]-21.6547135537838[/C][/ROW]
[ROW][C]324[/C][C]49.16[/C][C]71.9355885418839[/C][C]-22.7755885418839[/C][/ROW]
[ROW][C]325[/C][C]55.54[/C][C]72.3979309876933[/C][C]-16.8579309876933[/C][/ROW]
[ROW][C]326[/C][C]55.82[/C][C]71.4188528671558[/C][C]-15.5988528671558[/C][/ROW]
[ROW][C]327[/C][C]58.22[/C][C]73.4857955660684[/C][C]-15.2657955660684[/C][/ROW]
[ROW][C]328[/C][C]56.19[/C][C]72.8330768190433[/C][C]-16.6430768190433[/C][/ROW]
[ROW][C]329[/C][C]57.77[/C][C]70.7389375056714[/C][C]-12.9689375056714[/C][/ROW]
[ROW][C]330[/C][C]63.19[/C][C]68.5360117344619[/C][C]-5.34601173446193[/C][/ROW]
[ROW][C]331[/C][C]54.76[/C][C]72.0171783852621[/C][C]-17.2571783852621[/C][/ROW]
[ROW][C]332[/C][C]55.74[/C][C]72.0171783852621[/C][C]-16.2771783852621[/C][/ROW]
[ROW][C]333[/C][C]62.54[/C][C]71.9083919274245[/C][C]-9.36839192742455[/C][/ROW]
[ROW][C]334[/C][C]61.39[/C][C]70.9837070358058[/C][C]-9.59370703580577[/C][/ROW]
[ROW][C]335[/C][C]69.6[/C][C]69.2975169393245[/C][C]0.302483060675537[/C][/ROW]
[ROW][C]336[/C][C]79.23[/C][C]69.2431237104057[/C][C]9.98687628959429[/C][/ROW]
[ROW][C]337[/C][C]80[/C][C]76.6677994578153[/C][C]3.33220054218465[/C][/ROW]
[ROW][C]338[/C][C]93.68[/C][C]73.7033684817434[/C][C]19.9766315182566[/C][/ROW]
[ROW][C]339[/C][C]107.63[/C][C]75.5799348794403[/C][C]32.0500651205597[/C][/ROW]
[ROW][C]340[/C][C]100.18[/C][C]81.8623528195562[/C][C]18.3176471804438[/C][/ROW]
[ROW][C]341[/C][C]97.3[/C][C]84.2828515064406[/C][C]13.0171484935594[/C][/ROW]
[ROW][C]342[/C][C]90.45[/C][C]86.6489569644064[/C][C]3.80104303559364[/C][/ROW]
[ROW][C]343[/C][C]80.64[/C][C]84.4188345787375[/C][C]-3.77883457873752[/C][/ROW]
[ROW][C]344[/C][C]80.58[/C][C]88.4439335187252[/C][C]-7.86393351872518[/C][/ROW]
[ROW][C]345[/C][C]75.82[/C][C]87.492052012647[/C][C]-11.672052012647[/C][/ROW]
[ROW][C]346[/C][C]85.59[/C][C]87.492052012647[/C][C]-1.90205201264701[/C][/ROW]
[ROW][C]347[/C][C]89.35[/C][C]83.3037733859031[/C][C]6.04622661409688[/C][/ROW]
[ROW][C]348[/C][C]89.42[/C][C]81.7263697472593[/C][C]7.6936302527407[/C][/ROW]
[ROW][C]349[/C][C]104.73[/C][C]81.6447799038812[/C][C]23.0852200961188[/C][/ROW]
[ROW][C]350[/C][C]95.32[/C][C]80.0673762652374[/C][C]15.2526237347626[/C][/ROW]
[ROW][C]351[/C][C]89.27[/C][C]78.4083827832154[/C][C]10.8616172167846[/C][/ROW]
[ROW][C]352[/C][C]90.44[/C][C]78.4083827832154[/C][C]12.0316172167846[/C][/ROW]
[ROW][C]353[/C][C]86.97[/C][C]78.4083827832154[/C][C]8.56161721678457[/C][/ROW]
[ROW][C]354[/C][C]79.98[/C][C]78.4083827832154[/C][C]1.57161721678458[/C][/ROW]
[ROW][C]355[/C][C]81.22[/C][C]78.4083827832154[/C][C]2.81161721678457[/C][/ROW]
[ROW][C]356[/C][C]87.35[/C][C]78.4083827832154[/C][C]8.94161721678457[/C][/ROW]
[ROW][C]357[/C][C]83.64[/C][C]78.4083827832154[/C][C]5.23161721678457[/C][/ROW]
[ROW][C]358[/C][C]82.22[/C][C]78.4083827832154[/C][C]3.81161721678457[/C][/ROW]
[ROW][C]359[/C][C]94.4[/C][C]78.4083827832154[/C][C]15.9916172167846[/C][/ROW]
[ROW][C]360[/C][C]102.18[/C][C]78.4083827832154[/C][C]23.7716172167846[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=182533&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=182533&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
187.2863.096688842586624.1833111574134
287.2869.950235686349517.3297643136505
387.0975.307968734846611.7820312651535
486.9285.99623821738130.923761782618669
587.5995.5150532781629-7.92505327816294
690.72100.763999868823-10.0439998688225
790.6999.5945454470694-8.90454544706935
890.397.5547993626162-7.25479936261615
989.5595.7870194227567-6.23701942275671
1088.9494.1008293262754-5.16082932627539
1188.4190.9460220489878-2.53602204898777
1287.8289.5046014826409-1.68460148264086
1387.0787.9815910729158-0.911591072915793
1486.8287.0025129523782-0.18251295237825
1586.486.29540097643450.104599023565529
1686.0283.03180724130942.98819275869064
1785.6681.5631900605034.09680993949696
1885.3279.22428121699676.09571878300329
198577.75566403619047.24433596380961
2084.6773.703368481743410.9666315182566
2183.9471.418852867155812.5211471328442
2282.8370.222201830943212.6077981690568
2381.9569.977432300808911.9725676991911
2481.1969.569483083918211.6205169160818
2580.4868.40002866216512.079971337835
2678.8667.284967469330611.5750325306694
2769.4765.38120445717434.0887955428257
2868.7764.42932295109614.34067704890386
2970.0663.9125872763686.147412723632
3073.9565.19082815595878.75917184404133
3175.871.17408333702144.6259166629786
3277.7978.4083827832154-0.618382783215421
3381.5781.3456171448280.224382855171951
3483.0782.67825125333750.391748746662532
3584.3483.84770567509060.49229432490937
3685.184.39163796427820.70836203572184
3785.2581.15524084361244.0947591563876
3884.2682.67825125333751.58174874666254
3983.6380.77448824118112.85551175881886
4086.4479.33306767483427.10693232516579
4185.379.87699996402175.42300003597827
4284.179.25147783145614.84852216854392
4383.3681.1280442291532.23195577084697
4482.4880.28494918091242.19505081908764
4581.5877.2933215903814.28667840961899
4680.4775.68872133727784.78127866272217
4779.3471.93558854188397.40441145811608
4882.1369.270320324865112.8596796751349
4981.6968.372832047705713.3171679522943
5080.764.13016019204316.569839807957
5179.8862.634346396777317.2456536032227
5279.1662.008824264211717.1511757357883
5378.3861.301712288267917.0782877117321
5477.4261.60087504732115.819124952679
5576.4760.676190155702315.7938098442977
5675.4660.241044324352215.2189556756478
5774.4859.996274794217914.4837252057822
5878.2760.105061252055318.1649387479446
5980.759.234769589355321.4652304106447
6079.9161.682464890699218.2275351093008
6178.7561.192925830430417.5570741695696
6277.7864.293339878799313.4866601212007
6381.1464.592502637852416.5474973621476
6481.0864.674092481230516.4059075187695
6580.0364.810075553527415.2199244464726
6678.9164.320536493258614.5894635067414
6778.0163.531834673936714.4781653260633
6876.963.885390661908613.0146093380914
6975.9763.504638059477412.4653619405226
7081.9362.879115926911719.0508840730883
7180.2762.634346396777317.6356536032227
7278.6762.770329469074215.8996705309258
7377.4263.232671914883614.1873280851164
7476.1663.667817746233612.4921822537664
7574.763.722210975152410.9777890248476
7676.3962.607149782317913.7828502176821
7776.0462.498363324480513.5416366755196
7874.6562.280790408805412.3692095911946
7973.2961.927234420833511.3627655791665
8071.7962.33518363772429.45481636227582
8174.3961.736858119617912.6531418803821
8274.9162.008824264211712.9011757357883
8374.5462.661543011236711.8784569887633
8473.0862.063217493130411.0167825068696
8572.7563.2598685293439.49013147065703
8671.3264.75568232460876.56431767539133
8770.3864.15735680650246.22264319349762
8870.3564.42932295109615.92067704890386
8970.0164.7828789390685.22712106093198
9069.3665.73476044514623.62523955485381
9167.7766.38747919217121.38252080782877
9269.2666.19710289095563.06289710904442
9369.866.55065887892753.24934112107252
9468.3866.79542840906191.58457159093813
9567.6266.49626565000871.12373434999128
9668.3966.76823179460251.62176820539752
9766.9566.76823179460250.181768205397519
9865.2167.31216408379-2.10216408379001
9966.6467.4209505416275-0.780950541627501
10063.4567.2033776259525-3.7533776259525
10160.6666.9858047102775-6.3258047102775
10262.3467.1217877825744-4.78178778257437
10360.3267.2033776259525-6.88337762595251
10458.6465.7891536740649-7.14915367406494
10560.4665.4627943005524-5.00279430055243
10658.5965.7619570596056-7.17195705960557
10761.8765.4627943005524-3.59279430055243
10861.8563.3414583727211-1.4914583727211
10967.4468.8623711079744-1.42237110797444
11077.0691.6803306393909-14.6203306393909
11191.7497.2284399891036-5.48843998910364
11293.1595.3790702058661-2.22907020586606
11394.1594.3184022419504-0.168402241950398
11493.1193.4481105792504-0.338110579250378
11591.5191.46275772371590.0472422762840832
11689.9687.79121477170022.16878522829983
11788.1682.46067833766245.69932166233755
11886.9881.99833589185314.98166410814694
11988.0382.97741401239065.0525859876094
12086.2482.81423432563433.42576567436565
12184.6581.97113927739372.67886072260633
12283.2379.8226067351033.40739326489703
12381.778.29959632537793.40040367462209
12480.2575.74311456619664.50688543380343
12578.873.07784634917775.72215365082228
12677.5172.72429036120584.78570963879418
12776.271.90839192742454.29160807257546
12875.0469.27032032486515.76967967513493
1297470.33098828878073.66901171121925
13075.4972.07157161418083.41842838581919
13177.1468.80797787905578.33202212094431
13276.1567.9648828308158.18511716918498
13376.2770.7117408912125.55825910878799
13478.1970.79333073459017.39666926540986
13576.4969.02555079473077.4644492052693
13677.3171.11969010810266.19030989189735
13776.6570.63015104783396.01984895216613
13874.9970.22220183094324.76779816905676
13973.5171.90839192742451.60160807257546
14072.0770.73893750567141.3310624943286
14170.5970.9837070358058-0.393707035805765
14271.9671.39165625269640.568343747303585
14376.2972.39793098769333.89206901230669
14474.8673.29541926485271.56458073514727
14574.9374.35608722876840.573912771231617
14671.976.7493893011935-4.84938930119348
14771.0176.3958333132216-5.38583331322159
14877.4778.4627760121342-0.992776012134178
14975.7879.7682135061842-3.98821350618423
15076.679.8769999640217-3.27699996402173
15176.0781.4544036026655-5.38440360266555
15274.5779.9857864218592-5.41578642185925
15373.0278.0004335663248-4.98043356632479
15472.6576.3686366987622-3.71863669876222
15573.1672.69709374674650.462906253253536
15671.5373.6217786383652-2.09177863836524
15769.7873.0778463491777-3.29784634917772
15867.9874.3832838432278-6.40328384322777
15969.9672.370734373234-2.41073437323396
16072.1672.2075546864777-0.0475546864776925
16170.4773.6489752528246-3.17897525282462
16268.8674.7096432167403-5.84964321674028
16367.3776.8037825301122-9.43378253011223
16465.8776.0694739397091-10.1994739397091
16572.1676.0150807107903-3.85508071079034
16671.3476.1510637830872-4.81106378308721
16769.9373.8393515540402-3.90935155404024
16868.4473.7305650962028-5.29056509620276
16967.1673.8393515540402-6.67935155404026
17066.0174.546463529984-8.53646352998403
17167.2572.4523242166121-5.20232421661207
17270.9173.2682226503933-2.35822265039335
17369.7572.0443749997214-2.29437499972143
17468.5971.6908190117496-3.10081901174955
17567.4870.0318255297276-2.5518255297276
17666.3167.8288997585181-1.51889975851814
17764.8166.9586080958181-2.14860809581811
17866.5867.3393606982494-0.759360698249388
17965.9766.44187242109-0.471872421089975
18064.765.1364349270399-0.436434927039919
18164.766.3058893487931-1.60588934879309
18260.9466.8498216379806-5.90982163798062
18359.0865.2996146137962-6.21961461379618
18458.4264.782878939068-6.36287893906803
18557.7766.0883164331181-8.31831643311808
18657.1165.1364349270399-8.02643492703992
18753.3165.8707435174431-12.5607435174431
18849.9664.8100755535274-14.8500755535274
18949.462.7431328546148-13.3431328546148
19048.8461.5192852039429-12.6792852039429
19148.358.7724271435459-10.4724271435459
19247.7458.0381185531428-10.2981185531428
19347.2457.7117591796303-10.4717591796303
19446.7660.4314206255679-13.6714206255679
19546.2960.7033867701616-14.4133867701616
19648.961.1113359870523-12.2113359870523
19749.2362.1176107220492-12.8876107220492
19848.5362.6343463967773-14.1043463967773
19948.0363.042295613668-15.012295613668
20054.3461.7368581196179-7.39685811961791
20153.7961.5464818184023-7.75648181840229
20253.2459.425145890571-6.18514589057095
20352.9659.9146849508397-6.95468495083972
20452.1761.1929258304304-9.0229258304304
20551.762.5527565533992-10.8527565533992
20658.5562.5255599389398-3.97555993893983
20778.262.144807336508616.0551926634914
20877.0362.172003950967914.8579960490321
20976.1962.688739625696113.5012603743039
21077.1564.402126336636812.7478736633632
21175.8784.6092108799532-8.73921087995316
21295.47115.586154749182-20.1161547491825
213109.67114.987829231076-5.31782923107619
214112.28114.770256315401-2.49025631540118
215112.01115.640547978101-3.63054797810121
216107.93112.920886532164-4.9908865321636
217105.96113.356032363514-7.39603236351364
218105.06108.895787592176-3.83578759217594
219102.98105.469014170295-2.48901417029457
220102.2104.81629542327-2.61629542326954
221105.23104.353952977460.876047022539852
222101.85104.136380061785-2.28638006178515
22399.89103.266088399085-3.37608839908511
22496.23103.91880714611-7.68880714611014
22594.76102.422993350844-7.66299335084446
22691.5198.8602368566662-7.35023685666619
22791.6397.473209519238-5.84320951923802
22891.5495.7870194227567-4.2470194227567
22985.2391.0276118923659-5.7976118923659
23087.8391.3811678803378-3.55116788033779
23187.3890.2933033019628-2.91330330196275
23284.4489.6677811693971-5.2277811693971
23385.1987.4104621692689-2.22046216926889
23484.0387.2472824825126-3.21728248251264
23586.7385.66987884386881.06012115613118
236102.5285.941844988462616.5781550115374
237104.4584.391637964278120.0583620357218
238106.9884.690800723331322.2891992766687
239107.0283.031807241309423.9881927586906
24099.2683.684525988334415.5754740116656
24194.4583.494149687118710.9558503128813
242113.4483.929295518468829.5107044815312
243157.3389.259831952506568.0701680474936
244147.3899.648938675988147.7310613240119
245171.89105.49621078475466.393789215246
246171.95114.17193079729557.7780692027051
247132.71119.6112536891713.0987463108299
248126.02120.7263148820055.29368511799547
249121.18119.3120909301171.86790906988303
250115.45113.1928526767572.25714732324263
251110.48110.772353989873-0.292353989872902
252117.85106.91043473664210.9395652633585
253117.63103.21169517016614.4183048298336
254124.65101.79747121827922.8525287817212
255109.59103.4292680858416.16073191415863
256111.27101.4167186158489.85328138415245
25799.7899.21379284463810.566207155361911
25898.2196.71170431437551.4982956856245
25999.296.30375509748492.89624490251515
26097.9794.48158192870663.48841807129335
26189.5592.1970663141191-2.64706631411907
26287.9189.0150624223721-1.10506242237208
26393.3488.44393351872524.89606648127483
26494.4287.46485539818776.95514460181235
26593.287.16569263913456.0343073608655
26690.2986.97531633791893.31468366208113
26791.4688.28075383196893.17924616803106
26889.9888.00878768737521.97121231262483
26988.3588.7974895066971-0.447489506697073
27088.4186.78494003670321.62505996329675
27182.4486.7577434222439-4.31774342224387
27279.8986.9753163379189-7.08531633791888
27375.6986.0234348318407-10.3334348318407
27475.6688.4439335187252-12.7839335187252
27584.584.5004244221157-0.000424422115651925
27696.7384.772390566709411.9576094332906
27787.4890.021337157369-2.54133715736899
27882.3993.7472733383035-11.3572733383035
27983.4892.550622302091-9.07062230209096
28079.3191.2179881935815-11.9079881935815
28178.1689.7765676272346-11.6165676272346
28272.7787.056906181297-14.286906181297
28372.4587.4648553981877-15.0148553981876
28468.4687.4104621692689-18.9504621692689
28567.6284.5548176510344-16.9348176510344
28668.7683.9564921329281-15.1964921329281
28770.0781.9439426629343-11.8739426629343
28868.5581.1008476146936-12.5508476146936
28965.381.4272069882062-16.1272069882062
29058.9681.2368306869905-22.2768306869905
29159.1780.910471313478-21.740471313478
29262.3778.8163320001061-16.4463320001061
29366.2877.9732369518654-11.6932369518654
29455.6279.5778372049686-23.9578372049686
29555.2377.9732369518654-22.7432369518654
29655.8576.5862096144372-20.7362096144372
29756.7576.0150807107903-19.2650807107903
29850.8975.7431145661966-24.8531145661966
29953.8875.0088059757934-21.1288059757934
30052.9572.9690598913402-20.0190598913402
30155.0873.5945820239059-18.5145820239059
30253.6173.8665481684996-20.2565481684996
30358.7871.5004427105339-12.7204427105339
30461.8574.6824466022809-12.8324466022809
30555.9175.6343281083591-19.7243281083591
30653.3273.6489752528246-20.3289752528246
30746.4174.7096432167403-28.2996432167403
30844.5773.4042057226902-28.8342057226902
3095073.1866328070152-23.1866328070152
3105071.8539986985058-21.8539986985058
31153.3672.1259648430996-18.7659648430996
31246.2370.929313806887-24.699313806887
31350.4575.3079687348466-24.8579687348465
31449.0773.2682226503933-24.1982226503933
31545.8573.5129921805277-27.6629921805277
31648.4575.5527382649809-27.1027382649809
31749.9673.6217786383652-23.6617786383652
31846.5373.458598951609-26.928598951609
31950.5173.8121549395809-23.3021549395809
32047.5873.1866328070152-25.6066328070152
32148.0573.1322395780965-25.0822395780965
32246.8470.5757578189151-23.7357578189151
32347.6769.3247135537838-21.6547135537838
32449.1671.9355885418839-22.7755885418839
32555.5472.3979309876933-16.8579309876933
32655.8271.4188528671558-15.5988528671558
32758.2273.4857955660684-15.2657955660684
32856.1972.8330768190433-16.6430768190433
32957.7770.7389375056714-12.9689375056714
33063.1968.5360117344619-5.34601173446193
33154.7672.0171783852621-17.2571783852621
33255.7472.0171783852621-16.2771783852621
33362.5471.9083919274245-9.36839192742455
33461.3970.9837070358058-9.59370703580577
33569.669.29751693932450.302483060675537
33679.2369.24312371040579.98687628959429
3378076.66779945781533.33220054218465
33893.6873.703368481743419.9766315182566
339107.6375.579934879440332.0500651205597
340100.1881.862352819556218.3176471804438
34197.384.282851506440613.0171484935594
34290.4586.64895696440643.80104303559364
34380.6484.4188345787375-3.77883457873752
34480.5888.4439335187252-7.86393351872518
34575.8287.492052012647-11.672052012647
34685.5987.492052012647-1.90205201264701
34789.3583.30377338590316.04622661409688
34889.4281.72636974725937.6936302527407
349104.7381.644779903881223.0852200961188
35095.3280.067376265237415.2526237347626
35189.2778.408382783215410.8616172167846
35290.4478.408382783215412.0316172167846
35386.9778.40838278321548.56161721678457
35479.9878.40838278321541.57161721678458
35581.2278.40838278321542.81161721678457
35687.3578.40838278321548.94161721678457
35783.6478.40838278321545.23161721678457
35882.2278.40838278321543.81161721678457
35994.478.408382783215415.9916172167846
360102.1878.408382783215423.7716172167846






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
51.28836505591764e-052.57673011183529e-050.999987116349441
60.0001415678171214860.0002831356342429710.999858432182879
72.33593169360751e-054.67186338721502e-050.999976640683064
82.54611020760631e-065.09222041521262e-060.999997453889792
92.09115212348624e-074.18230424697248e-070.999999790884788
101.6547591519346e-083.30951830386919e-080.999999983452408
111.34568586619946e-092.69137173239892e-090.999999998654314
121.40550681534414e-102.81101363068827e-100.999999999859449
132.6046938524677e-115.2093877049354e-110.999999999973953
145.00322467408604e-121.00064493481721e-110.999999999994997
151.26055779239436e-122.52111558478872e-120.999999999998739
162.85790879012075e-135.7158175802415e-130.999999999999714
176.90149441458902e-141.3802988829178e-130.999999999999931
181.53827790456316e-143.07655580912631e-140.999999999999985
193.36894647324419e-156.73789294648838e-150.999999999999997
205.54153480488616e-161.10830696097723e-150.999999999999999
211.12670961739097e-162.25341923478195e-161
224.62348175245912e-179.24696350491824e-171
233.22516233238376e-176.45032466476753e-171
242.86397798002785e-175.7279559600557e-171
252.43915542975917e-174.87831085951833e-171
265.1531018057076e-171.03062036114152e-161
271.60950018157615e-123.21900036315229e-120.999999999998391
287.32529560384172e-111.46505912076834e-100.999999999926747
292.15646682243847e-104.31293364487694e-100.999999999784353
301.18309988990227e-102.36619977980454e-100.99999999988169
316.6086021108656e-111.32172042217312e-100.999999999933914
324.37098492692885e-118.74196985385769e-110.99999999995629
331.5778204025144e-113.15564080502881e-110.999999999984222
344.98240389976132e-129.96480779952264e-120.999999999995018
351.46204829086189e-122.92409658172379e-120.999999999998538
364.14890582765384e-138.29781165530769e-130.999999999999585
371.20739589154281e-132.41479178308562e-130.999999999999879
383.3441332703901e-146.68826654078019e-140.999999999999967
399.1159815716797e-151.82319631433594e-140.999999999999991
403.31885303164417e-156.63770606328835e-150.999999999999997
419.67553502661839e-161.93510700532368e-150.999999999999999
422.59278063072423e-165.18556126144845e-161
436.91032783685609e-171.38206556737122e-161
441.89892244480072e-173.79784488960144e-171
455.0568312324494e-181.01136624648988e-171
461.39596248309249e-182.79192496618497e-181
473.72197650204564e-197.44395300409128e-191
481.27751066695141e-192.55502133390283e-191
494.233600426828e-208.46720085365601e-201
501.61848001628161e-203.23696003256322e-201
515.71619434638498e-211.143238869277e-201
521.81377667747878e-213.62755335495756e-211
535.33251974121052e-221.0665039482421e-211
541.44849663585862e-222.89699327171724e-221
553.96927000749796e-237.93854001499592e-231
561.14683437701718e-232.29366875403437e-231
573.68881841957161e-247.37763683914322e-241
581.17970010125076e-242.35940020250151e-241
598.02557753873623e-251.60511550774725e-241
603.0058022838579e-256.01160456771581e-251
619.37273950751503e-261.87454790150301e-251
622.54808356214649e-265.09616712429297e-261
639.56176617091807e-271.91235323418361e-261
643.47720849758504e-276.95441699517009e-271
651.02706057523913e-272.05412115047825e-271
662.81278472045736e-285.62556944091471e-281
677.74475050982784e-291.54895010196557e-281
682.32892595627811e-294.65785191255623e-291
698.04072365353511e-301.60814473070702e-291
705.09832470226007e-301.01966494045201e-291
711.94575654517216e-303.89151309034431e-301
725.76801699486652e-311.1536033989733e-301
731.69956910788021e-313.39913821576043e-311
746.04679214758189e-321.20935842951638e-311
753.2193942278364e-326.43878845567279e-321
761.04516067171008e-322.09032134342017e-321
773.56395273870218e-337.12790547740436e-331
781.63811963882261e-333.27623927764521e-331
791.13946592058243e-332.27893184116487e-331
801.61103701612639e-333.22207403225278e-331
817.14905997016221e-341.42981199403244e-331
822.85203653347021e-345.70407306694043e-341
831.28426471241718e-342.56852942483435e-341
848.53552106742808e-351.70710421348562e-341
857.27816449563757e-351.45563289912751e-341
861.56193113620178e-343.12386227240356e-341
874.48519146959755e-348.9703829391951e-341
881.17793385906702e-332.35586771813404e-331
893.47058556530757e-336.94117113061513e-331
901.55681157494411e-323.11362314988822e-321
911.77920043585298e-313.55840087170596e-311
925.85850232303372e-311.17170046460674e-301
931.35634381532589e-302.71268763065178e-301
945.87747931426958e-301.17549586285392e-291
952.92480979991843e-295.84961959983686e-291
968.70712851915043e-291.74142570383009e-281
974.40398741473381e-288.80797482946762e-281
984.86003928566795e-279.72007857133591e-271
992.05288993356987e-264.10577986713975e-261
1003.08598801727736e-256.17197603455471e-251
1011.25443323833278e-232.50886647666556e-231
1021.36312024121245e-222.72624048242491e-221
1032.61886325251793e-215.23772650503587e-211
1045.06794348393714e-201.01358869678743e-191
1053.14906945093065e-196.29813890186129e-191
1063.07539365110599e-186.15078730221197e-181
1078.28385605688675e-181.65677121137735e-171
1081.59605497672697e-173.19210995345394e-171
1091.62031908293024e-173.24063816586048e-171
1102.57769501830879e-175.15539003661757e-171
1111.25085236809781e-172.50170473619562e-171
1126.48223068450179e-181.29644613690036e-171
1133.68900894527918e-187.37801789055835e-181
1141.94992361241975e-183.8998472248395e-181
1159.71612519857205e-191.94322503971441e-181
1164.93392396044553e-199.86784792089107e-191
1172.81699774170111e-195.63399548340222e-191
1181.47125611533963e-192.94251223067926e-191
1197.92312742706521e-201.58462548541304e-191
1203.74155606649635e-207.4831121329927e-201
1211.68204222822496e-203.36408445644991e-201
1227.59572539233224e-211.51914507846645e-201
1233.41126796093854e-216.82253592187709e-211
1241.57005548537995e-213.1401109707599e-211
1257.49273406709445e-221.49854681341889e-211
1263.55630558967106e-227.11261117934212e-221
1271.72601416817044e-223.45202833634089e-221
1288.72338924401213e-231.74467784880243e-221
1294.55325605923346e-239.10651211846692e-231
1302.24665552868888e-234.49331105737775e-231
1311.19378062074606e-232.38756124149211e-231
1326.3656362413608e-241.27312724827216e-231
1333.11807951686892e-246.23615903373785e-241
1341.58910398295911e-243.17820796591822e-241
1358.25157933598749e-251.6503158671975e-241
1364.0475898974211e-258.0951797948422e-251
1371.99810576572737e-253.99621153145474e-251
1381.00664022807905e-252.01328045615809e-251
1395.61518887617727e-261.12303777523545e-251
1403.44334781112203e-266.88669562224407e-261
1412.56573858943254e-265.13147717886507e-261
1421.6196073675539e-263.2392147351078e-261
1437.72685749593365e-271.54537149918673e-261
1443.94442670350386e-277.88885340700771e-271
1452.0523238040895e-274.10464760817901e-271
1461.92743016070169e-273.85486032140338e-271
1472.04687573585745e-274.09375147171491e-271
1489.71881615898221e-281.94376323179644e-271
1495.90849570029983e-281.18169914005997e-271
1503.21816397712471e-286.43632795424942e-281
1512.09308706201997e-284.18617412403994e-281
1521.50836963625077e-283.01673927250154e-281
1531.17108776348456e-282.34217552696913e-281
1548.31849279436107e-291.66369855887221e-281
1554.51851541391192e-299.03703082782383e-291
1563.08340955376226e-296.16681910752452e-291
1572.65182405215944e-295.30364810431888e-291
1583.71391132723028e-297.42782265446056e-291
1592.83980812775244e-295.67961625550488e-291
1601.61774231892094e-293.23548463784189e-291
1611.22771233163747e-292.45542466327495e-291
1621.3596103746919e-292.7192207493838e-291
1632.71545227891778e-295.43090455783556e-291
1646.93858058649589e-291.38771611729918e-281
1654.51596814973118e-299.03193629946235e-291
1663.30847974460374e-296.61695948920749e-291
1672.51767087543178e-295.03534175086355e-291
1682.40812238556854e-294.81624477113708e-291
1692.93155563338487e-295.86311126676974e-291
1704.85309180020706e-299.70618360041413e-291
1714.82400937938149e-299.64801875876297e-291
1722.94210300692661e-295.88420601385321e-291
1731.9240134778989e-293.8480269557978e-291
1741.41958639362401e-292.83917278724802e-291
1751.09994537959075e-292.19989075918149e-291
1768.81785088401124e-301.76357017680225e-291
1778.22627833636004e-301.64525566727201e-291
1786.12348451565904e-301.22469690313181e-291
1794.69626423997492e-309.39252847994983e-301
1803.95199117078002e-307.90398234156005e-301
1813.45481509470423e-306.90963018940846e-301
1825.90304424100307e-301.18060884820061e-291
1831.2238893565837e-292.44777871316741e-291
1842.61139811316831e-295.22279622633662e-291
1857.03789867130789e-291.40757973426158e-281
1861.82212891796314e-283.64425783592629e-281
1871.29590492053475e-272.5918098410695e-271
1881.75298469675753e-263.50596939351506e-261
1891.51029359142828e-253.02058718285657e-251
1901.00684259947661e-242.01368519895322e-241
1914.30566617781699e-248.61133235563397e-241
1921.62408064867503e-233.24816129735006e-231
1935.65103954059181e-231.13020790811836e-221
1942.72594599486431e-225.45189198972863e-221
1951.29781988214361e-212.59563976428721e-211
1963.39901601310006e-216.79803202620013e-211
1978.70714672261532e-211.74142934452306e-201
1982.48629897627526e-204.97259795255051e-201
1997.51458915047279e-201.50291783009456e-191
2007.66916627968836e-201.53383325593767e-191
2017.99477228931773e-201.59895445786355e-191
2027.60949905053125e-201.52189981010625e-191
2037.47212116673161e-201.49442423334632e-191
2048.41264354338998e-201.682528708678e-191
2051.08564304970713e-192.17128609941426e-191
2067.77112891842928e-201.55422578368586e-191
2072.03492319887064e-194.06984639774129e-191
2084.66529934266079e-199.33059868532157e-191
2099.23216103867941e-191.84643220773588e-181
2101.69553960075109e-183.39107920150219e-181
2111.11395320334041e-182.22790640668081e-181
2123.68140642806411e-187.36281285612821e-181
2133.27189199195381e-186.54378398390763e-181
2142.88695750296314e-185.77391500592628e-181
2152.69271456621124e-185.38542913242247e-181
2162.40727969766995e-184.81455939533991e-181
2172.60664853072209e-185.21329706144419e-181
2182.10388870862922e-184.20777741725844e-181
2191.48374367445905e-182.96748734891809e-181
2201.03844861188289e-182.07689722376578e-181
2217.16529159773322e-191.43305831954664e-181
2224.96018271268233e-199.92036542536465e-191
2233.48079836404571e-196.96159672809143e-191
2243.32004006157786e-196.64008012315573e-191
2253.08211255273211e-196.16422510546423e-191
2262.489685926555e-194.97937185311e-191
2271.74819143050191e-193.49638286100382e-191
2281.07811051737782e-192.15622103475564e-191
2296.44276342307231e-201.28855268461446e-191
2303.49095673649153e-206.98191347298306e-201
2311.8183783636164e-203.6367567272328e-201
2321.02215178243262e-202.04430356486525e-201
2335.053050697058e-211.0106101394116e-201
2342.5327242715913e-215.06544854318259e-211
2351.25559496569978e-212.51118993139955e-211
2363.79685425325671e-217.59370850651343e-211
2372.47974313202834e-204.95948626405669e-201
2382.57658701275147e-195.15317402550293e-191
2394.00127402976423e-188.00254805952846e-181
2409.01430103507887e-181.80286020701577e-171
2411.0230679451207e-172.04613589024139e-171
2425.79884740613188e-161.15976948122638e-150.999999999999999
2432.49328543496573e-084.98657086993145e-080.999999975067146
2444.89969836739209e-069.79939673478418e-060.999995100301633
2450.006588631672365930.01317726334473190.993411368327634
2460.1110442241933610.2220884483867210.888955775806639
2470.1016947748645090.2033895497290180.898305225135491
2480.09503568249345370.1900713649869070.904964317506546
2490.09441496586329540.1888299317265910.905585034136705
2500.08972438156829510.179448763136590.910275618431705
2510.08886335055731360.1777267011146270.911136649442686
2520.07884685859686420.1576937171937280.921153141403136
2530.07248983718163020.144979674363260.92751016281837
2540.08374870047272010.167497400945440.91625129952728
2550.07239264756618270.1447852951323650.927607352433817
2560.06331754033154090.1266350806630820.936682459668459
2570.05474689448834310.1094937889766860.945253105511657
2580.04645328026105780.09290656052211570.953546719738942
2590.03901282899106930.07802565798213850.960987171008931
2600.03259030698145310.06518061396290620.967409693018547
2610.02763197921049160.05526395842098320.972368020789508
2620.02294884663973710.04589769327947420.977051153360263
2630.01962858109787620.03925716219575250.980371418902124
2640.01757159387420090.03514318774840190.982428406125799
2650.01553194777715330.03106389555430650.984468052222847
2660.01315787269653520.02631574539307050.986842127303465
2670.0109905986672840.02198119733456810.989009401332716
2680.009054756482595210.01810951296519040.990945243517405
2690.007293434808178970.01458686961635790.992706565191821
2700.005994629761805060.01198925952361010.994005370238195
2710.004838120426585860.009676240853171710.995161879573414
2720.004006571384728850.00801314276945770.995993428615271
2730.003518776422917350.007037552845834710.996481223577083
2740.003416616044866490.006833232089732980.996583383955133
2750.002738578987400180.005477157974800360.9972614210126
2760.003113367570334710.006226735140669410.996886632429665
2770.002425727070696860.004851454141393720.997574272929303
2780.002373327149048740.004746654298097470.997626672850951
2790.002142859769983230.004285719539966450.997857140230017
2800.002159766488221410.004319532976442830.997840233511779
2810.00214507528543750.004290150570874990.997854924714562
2820.002307636512635030.004615273025270060.997692363487365
2830.002682022430938190.005364044861876380.997317977569062
2840.004132818635261870.008265637270523730.995867181364738
2850.005133055959418940.01026611191883790.994866944040581
2860.005812580431441820.01162516086288360.994187419568558
2870.005426623156982120.01085324631396420.994573376843018
2880.005084645700537560.01016929140107510.994915354299462
2890.005605422742177250.01121084548435450.994394577257823
2900.008726653795796740.01745330759159350.991273346204203
2910.01293374626670570.02586749253341140.987066253733294
2920.01335777282178220.02671554564356430.986642227178218
2930.01165968351549150.0233193670309830.988340316484508
2940.01843359298789550.03686718597579110.981566407012105
2950.02445882521499960.04891765042999920.975541174785
2960.027538418757940.055076837515880.97246158124206
2970.02865600322877190.05731200645754380.971343996771228
2980.03705074006257680.07410148012515360.962949259937423
2990.03961588459596650.0792317691919330.960384115404033
3000.03846602096721150.07693204193442310.961533979032788
3010.0363861644888810.0727723289777620.963613835511119
3020.03631566840001270.07263133680002530.963684331599987
3030.03076627810145720.06153255620291440.969233721898543
3040.02617235530668010.05234471061336010.97382764469332
3050.02716183530177150.0543236706035430.972838164698228
3060.02684098846579880.05368197693159770.973159011534201
3070.0392592370015160.07851847400303210.960740762998484
3080.05414529660182050.1082905932036410.945854703398179
3090.05831986670250520.116639733405010.941680133297495
3100.05787403170406420.1157480634081280.942125968295936
3110.05348265712906930.1069653142581390.946517342870931
3120.05673974639600630.1134794927920130.943260253603994
3130.07278201935464050.1455640387092810.927217980645359
3140.08347886325201230.1669577265040250.916521136747988
3150.1121891396234390.2243782792468780.887810860376561
3160.1609219427634440.3218438855268890.839078057236555
3170.1863452287665510.3726904575331020.813654771233449
3180.2420595046121540.4841190092243070.757940495387846
3190.2820933050682080.5641866101364160.717906694931792
3200.3483621097032750.6967242194065510.651637890296725
3210.4230595660642160.8461191321284310.576940433935784
3220.4723173672925030.9446347345850050.527682632707497
3230.5027807175042780.9944385649914450.497219282495722
3240.5782583921490720.8434832157018560.421741607850928
3250.6038736510517230.7922526978965550.396126348948277
3260.6212016489208180.7575967021583640.378798351079182
3270.6533818802662240.6932362394675530.346618119733776
3280.7068342375783040.5863315248433920.293165762421696
3290.7289150311530320.5421699376939360.271084968846968
3300.7032160274895680.5935679450208640.296783972510432
3310.8037615551316840.3924768897366330.196238444868316
3320.8991487237353310.2017025525293380.100851276264669
3330.9379021914590640.1241956170818720.0620978085409359
3340.978918689360140.04216262127972080.0210813106398604
3350.9908893291175920.01822134176481510.00911067088240756
3360.9937260931808810.01254781363823830.00627390681911914
3370.9948418800284510.0103162399430980.005158119971549
3380.9917857598266060.01642848034678840.00821424017339421
3390.9958038474493370.008392305101326690.00419615255066335
3400.9966798137352580.006640372529484840.00332018626474242
3410.9970241231100370.00595175377992670.00297587688996335
3420.9955943350887270.008811329822546730.00440566491127337
3430.9929279205994640.01414415880107280.0070720794005364
3440.9878964946304240.02420701073915110.0121035053695756
3450.9907957836608550.01840843267829010.00920421633914503
3460.9906649276418740.01867014471625130.00933507235812567
3470.9900564178582420.01988716428351660.0099435821417583
3480.9930384781271420.0139230437457160.00696152187285801
3490.9854608651556620.02907826968867530.0145391348443376
3500.9700430948514080.05991381029718440.0299569051485922
3510.9418079748211390.1163840503577220.0581920251788612
3520.8962383227439780.2075233545120450.103761677256022
3530.81487178859740.3702564228052010.1851282114026
3540.7546416559245980.4907166881508040.245358344075402
3550.6720873079961690.6558253840076620.327912692003831

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
5 & 1.28836505591764e-05 & 2.57673011183529e-05 & 0.999987116349441 \tabularnewline
6 & 0.000141567817121486 & 0.000283135634242971 & 0.999858432182879 \tabularnewline
7 & 2.33593169360751e-05 & 4.67186338721502e-05 & 0.999976640683064 \tabularnewline
8 & 2.54611020760631e-06 & 5.09222041521262e-06 & 0.999997453889792 \tabularnewline
9 & 2.09115212348624e-07 & 4.18230424697248e-07 & 0.999999790884788 \tabularnewline
10 & 1.6547591519346e-08 & 3.30951830386919e-08 & 0.999999983452408 \tabularnewline
11 & 1.34568586619946e-09 & 2.69137173239892e-09 & 0.999999998654314 \tabularnewline
12 & 1.40550681534414e-10 & 2.81101363068827e-10 & 0.999999999859449 \tabularnewline
13 & 2.6046938524677e-11 & 5.2093877049354e-11 & 0.999999999973953 \tabularnewline
14 & 5.00322467408604e-12 & 1.00064493481721e-11 & 0.999999999994997 \tabularnewline
15 & 1.26055779239436e-12 & 2.52111558478872e-12 & 0.999999999998739 \tabularnewline
16 & 2.85790879012075e-13 & 5.7158175802415e-13 & 0.999999999999714 \tabularnewline
17 & 6.90149441458902e-14 & 1.3802988829178e-13 & 0.999999999999931 \tabularnewline
18 & 1.53827790456316e-14 & 3.07655580912631e-14 & 0.999999999999985 \tabularnewline
19 & 3.36894647324419e-15 & 6.73789294648838e-15 & 0.999999999999997 \tabularnewline
20 & 5.54153480488616e-16 & 1.10830696097723e-15 & 0.999999999999999 \tabularnewline
21 & 1.12670961739097e-16 & 2.25341923478195e-16 & 1 \tabularnewline
22 & 4.62348175245912e-17 & 9.24696350491824e-17 & 1 \tabularnewline
23 & 3.22516233238376e-17 & 6.45032466476753e-17 & 1 \tabularnewline
24 & 2.86397798002785e-17 & 5.7279559600557e-17 & 1 \tabularnewline
25 & 2.43915542975917e-17 & 4.87831085951833e-17 & 1 \tabularnewline
26 & 5.1531018057076e-17 & 1.03062036114152e-16 & 1 \tabularnewline
27 & 1.60950018157615e-12 & 3.21900036315229e-12 & 0.999999999998391 \tabularnewline
28 & 7.32529560384172e-11 & 1.46505912076834e-10 & 0.999999999926747 \tabularnewline
29 & 2.15646682243847e-10 & 4.31293364487694e-10 & 0.999999999784353 \tabularnewline
30 & 1.18309988990227e-10 & 2.36619977980454e-10 & 0.99999999988169 \tabularnewline
31 & 6.6086021108656e-11 & 1.32172042217312e-10 & 0.999999999933914 \tabularnewline
32 & 4.37098492692885e-11 & 8.74196985385769e-11 & 0.99999999995629 \tabularnewline
33 & 1.5778204025144e-11 & 3.15564080502881e-11 & 0.999999999984222 \tabularnewline
34 & 4.98240389976132e-12 & 9.96480779952264e-12 & 0.999999999995018 \tabularnewline
35 & 1.46204829086189e-12 & 2.92409658172379e-12 & 0.999999999998538 \tabularnewline
36 & 4.14890582765384e-13 & 8.29781165530769e-13 & 0.999999999999585 \tabularnewline
37 & 1.20739589154281e-13 & 2.41479178308562e-13 & 0.999999999999879 \tabularnewline
38 & 3.3441332703901e-14 & 6.68826654078019e-14 & 0.999999999999967 \tabularnewline
39 & 9.1159815716797e-15 & 1.82319631433594e-14 & 0.999999999999991 \tabularnewline
40 & 3.31885303164417e-15 & 6.63770606328835e-15 & 0.999999999999997 \tabularnewline
41 & 9.67553502661839e-16 & 1.93510700532368e-15 & 0.999999999999999 \tabularnewline
42 & 2.59278063072423e-16 & 5.18556126144845e-16 & 1 \tabularnewline
43 & 6.91032783685609e-17 & 1.38206556737122e-16 & 1 \tabularnewline
44 & 1.89892244480072e-17 & 3.79784488960144e-17 & 1 \tabularnewline
45 & 5.0568312324494e-18 & 1.01136624648988e-17 & 1 \tabularnewline
46 & 1.39596248309249e-18 & 2.79192496618497e-18 & 1 \tabularnewline
47 & 3.72197650204564e-19 & 7.44395300409128e-19 & 1 \tabularnewline
48 & 1.27751066695141e-19 & 2.55502133390283e-19 & 1 \tabularnewline
49 & 4.233600426828e-20 & 8.46720085365601e-20 & 1 \tabularnewline
50 & 1.61848001628161e-20 & 3.23696003256322e-20 & 1 \tabularnewline
51 & 5.71619434638498e-21 & 1.143238869277e-20 & 1 \tabularnewline
52 & 1.81377667747878e-21 & 3.62755335495756e-21 & 1 \tabularnewline
53 & 5.33251974121052e-22 & 1.0665039482421e-21 & 1 \tabularnewline
54 & 1.44849663585862e-22 & 2.89699327171724e-22 & 1 \tabularnewline
55 & 3.96927000749796e-23 & 7.93854001499592e-23 & 1 \tabularnewline
56 & 1.14683437701718e-23 & 2.29366875403437e-23 & 1 \tabularnewline
57 & 3.68881841957161e-24 & 7.37763683914322e-24 & 1 \tabularnewline
58 & 1.17970010125076e-24 & 2.35940020250151e-24 & 1 \tabularnewline
59 & 8.02557753873623e-25 & 1.60511550774725e-24 & 1 \tabularnewline
60 & 3.0058022838579e-25 & 6.01160456771581e-25 & 1 \tabularnewline
61 & 9.37273950751503e-26 & 1.87454790150301e-25 & 1 \tabularnewline
62 & 2.54808356214649e-26 & 5.09616712429297e-26 & 1 \tabularnewline
63 & 9.56176617091807e-27 & 1.91235323418361e-26 & 1 \tabularnewline
64 & 3.47720849758504e-27 & 6.95441699517009e-27 & 1 \tabularnewline
65 & 1.02706057523913e-27 & 2.05412115047825e-27 & 1 \tabularnewline
66 & 2.81278472045736e-28 & 5.62556944091471e-28 & 1 \tabularnewline
67 & 7.74475050982784e-29 & 1.54895010196557e-28 & 1 \tabularnewline
68 & 2.32892595627811e-29 & 4.65785191255623e-29 & 1 \tabularnewline
69 & 8.04072365353511e-30 & 1.60814473070702e-29 & 1 \tabularnewline
70 & 5.09832470226007e-30 & 1.01966494045201e-29 & 1 \tabularnewline
71 & 1.94575654517216e-30 & 3.89151309034431e-30 & 1 \tabularnewline
72 & 5.76801699486652e-31 & 1.1536033989733e-30 & 1 \tabularnewline
73 & 1.69956910788021e-31 & 3.39913821576043e-31 & 1 \tabularnewline
74 & 6.04679214758189e-32 & 1.20935842951638e-31 & 1 \tabularnewline
75 & 3.2193942278364e-32 & 6.43878845567279e-32 & 1 \tabularnewline
76 & 1.04516067171008e-32 & 2.09032134342017e-32 & 1 \tabularnewline
77 & 3.56395273870218e-33 & 7.12790547740436e-33 & 1 \tabularnewline
78 & 1.63811963882261e-33 & 3.27623927764521e-33 & 1 \tabularnewline
79 & 1.13946592058243e-33 & 2.27893184116487e-33 & 1 \tabularnewline
80 & 1.61103701612639e-33 & 3.22207403225278e-33 & 1 \tabularnewline
81 & 7.14905997016221e-34 & 1.42981199403244e-33 & 1 \tabularnewline
82 & 2.85203653347021e-34 & 5.70407306694043e-34 & 1 \tabularnewline
83 & 1.28426471241718e-34 & 2.56852942483435e-34 & 1 \tabularnewline
84 & 8.53552106742808e-35 & 1.70710421348562e-34 & 1 \tabularnewline
85 & 7.27816449563757e-35 & 1.45563289912751e-34 & 1 \tabularnewline
86 & 1.56193113620178e-34 & 3.12386227240356e-34 & 1 \tabularnewline
87 & 4.48519146959755e-34 & 8.9703829391951e-34 & 1 \tabularnewline
88 & 1.17793385906702e-33 & 2.35586771813404e-33 & 1 \tabularnewline
89 & 3.47058556530757e-33 & 6.94117113061513e-33 & 1 \tabularnewline
90 & 1.55681157494411e-32 & 3.11362314988822e-32 & 1 \tabularnewline
91 & 1.77920043585298e-31 & 3.55840087170596e-31 & 1 \tabularnewline
92 & 5.85850232303372e-31 & 1.17170046460674e-30 & 1 \tabularnewline
93 & 1.35634381532589e-30 & 2.71268763065178e-30 & 1 \tabularnewline
94 & 5.87747931426958e-30 & 1.17549586285392e-29 & 1 \tabularnewline
95 & 2.92480979991843e-29 & 5.84961959983686e-29 & 1 \tabularnewline
96 & 8.70712851915043e-29 & 1.74142570383009e-28 & 1 \tabularnewline
97 & 4.40398741473381e-28 & 8.80797482946762e-28 & 1 \tabularnewline
98 & 4.86003928566795e-27 & 9.72007857133591e-27 & 1 \tabularnewline
99 & 2.05288993356987e-26 & 4.10577986713975e-26 & 1 \tabularnewline
100 & 3.08598801727736e-25 & 6.17197603455471e-25 & 1 \tabularnewline
101 & 1.25443323833278e-23 & 2.50886647666556e-23 & 1 \tabularnewline
102 & 1.36312024121245e-22 & 2.72624048242491e-22 & 1 \tabularnewline
103 & 2.61886325251793e-21 & 5.23772650503587e-21 & 1 \tabularnewline
104 & 5.06794348393714e-20 & 1.01358869678743e-19 & 1 \tabularnewline
105 & 3.14906945093065e-19 & 6.29813890186129e-19 & 1 \tabularnewline
106 & 3.07539365110599e-18 & 6.15078730221197e-18 & 1 \tabularnewline
107 & 8.28385605688675e-18 & 1.65677121137735e-17 & 1 \tabularnewline
108 & 1.59605497672697e-17 & 3.19210995345394e-17 & 1 \tabularnewline
109 & 1.62031908293024e-17 & 3.24063816586048e-17 & 1 \tabularnewline
110 & 2.57769501830879e-17 & 5.15539003661757e-17 & 1 \tabularnewline
111 & 1.25085236809781e-17 & 2.50170473619562e-17 & 1 \tabularnewline
112 & 6.48223068450179e-18 & 1.29644613690036e-17 & 1 \tabularnewline
113 & 3.68900894527918e-18 & 7.37801789055835e-18 & 1 \tabularnewline
114 & 1.94992361241975e-18 & 3.8998472248395e-18 & 1 \tabularnewline
115 & 9.71612519857205e-19 & 1.94322503971441e-18 & 1 \tabularnewline
116 & 4.93392396044553e-19 & 9.86784792089107e-19 & 1 \tabularnewline
117 & 2.81699774170111e-19 & 5.63399548340222e-19 & 1 \tabularnewline
118 & 1.47125611533963e-19 & 2.94251223067926e-19 & 1 \tabularnewline
119 & 7.92312742706521e-20 & 1.58462548541304e-19 & 1 \tabularnewline
120 & 3.74155606649635e-20 & 7.4831121329927e-20 & 1 \tabularnewline
121 & 1.68204222822496e-20 & 3.36408445644991e-20 & 1 \tabularnewline
122 & 7.59572539233224e-21 & 1.51914507846645e-20 & 1 \tabularnewline
123 & 3.41126796093854e-21 & 6.82253592187709e-21 & 1 \tabularnewline
124 & 1.57005548537995e-21 & 3.1401109707599e-21 & 1 \tabularnewline
125 & 7.49273406709445e-22 & 1.49854681341889e-21 & 1 \tabularnewline
126 & 3.55630558967106e-22 & 7.11261117934212e-22 & 1 \tabularnewline
127 & 1.72601416817044e-22 & 3.45202833634089e-22 & 1 \tabularnewline
128 & 8.72338924401213e-23 & 1.74467784880243e-22 & 1 \tabularnewline
129 & 4.55325605923346e-23 & 9.10651211846692e-23 & 1 \tabularnewline
130 & 2.24665552868888e-23 & 4.49331105737775e-23 & 1 \tabularnewline
131 & 1.19378062074606e-23 & 2.38756124149211e-23 & 1 \tabularnewline
132 & 6.3656362413608e-24 & 1.27312724827216e-23 & 1 \tabularnewline
133 & 3.11807951686892e-24 & 6.23615903373785e-24 & 1 \tabularnewline
134 & 1.58910398295911e-24 & 3.17820796591822e-24 & 1 \tabularnewline
135 & 8.25157933598749e-25 & 1.6503158671975e-24 & 1 \tabularnewline
136 & 4.0475898974211e-25 & 8.0951797948422e-25 & 1 \tabularnewline
137 & 1.99810576572737e-25 & 3.99621153145474e-25 & 1 \tabularnewline
138 & 1.00664022807905e-25 & 2.01328045615809e-25 & 1 \tabularnewline
139 & 5.61518887617727e-26 & 1.12303777523545e-25 & 1 \tabularnewline
140 & 3.44334781112203e-26 & 6.88669562224407e-26 & 1 \tabularnewline
141 & 2.56573858943254e-26 & 5.13147717886507e-26 & 1 \tabularnewline
142 & 1.6196073675539e-26 & 3.2392147351078e-26 & 1 \tabularnewline
143 & 7.72685749593365e-27 & 1.54537149918673e-26 & 1 \tabularnewline
144 & 3.94442670350386e-27 & 7.88885340700771e-27 & 1 \tabularnewline
145 & 2.0523238040895e-27 & 4.10464760817901e-27 & 1 \tabularnewline
146 & 1.92743016070169e-27 & 3.85486032140338e-27 & 1 \tabularnewline
147 & 2.04687573585745e-27 & 4.09375147171491e-27 & 1 \tabularnewline
148 & 9.71881615898221e-28 & 1.94376323179644e-27 & 1 \tabularnewline
149 & 5.90849570029983e-28 & 1.18169914005997e-27 & 1 \tabularnewline
150 & 3.21816397712471e-28 & 6.43632795424942e-28 & 1 \tabularnewline
151 & 2.09308706201997e-28 & 4.18617412403994e-28 & 1 \tabularnewline
152 & 1.50836963625077e-28 & 3.01673927250154e-28 & 1 \tabularnewline
153 & 1.17108776348456e-28 & 2.34217552696913e-28 & 1 \tabularnewline
154 & 8.31849279436107e-29 & 1.66369855887221e-28 & 1 \tabularnewline
155 & 4.51851541391192e-29 & 9.03703082782383e-29 & 1 \tabularnewline
156 & 3.08340955376226e-29 & 6.16681910752452e-29 & 1 \tabularnewline
157 & 2.65182405215944e-29 & 5.30364810431888e-29 & 1 \tabularnewline
158 & 3.71391132723028e-29 & 7.42782265446056e-29 & 1 \tabularnewline
159 & 2.83980812775244e-29 & 5.67961625550488e-29 & 1 \tabularnewline
160 & 1.61774231892094e-29 & 3.23548463784189e-29 & 1 \tabularnewline
161 & 1.22771233163747e-29 & 2.45542466327495e-29 & 1 \tabularnewline
162 & 1.3596103746919e-29 & 2.7192207493838e-29 & 1 \tabularnewline
163 & 2.71545227891778e-29 & 5.43090455783556e-29 & 1 \tabularnewline
164 & 6.93858058649589e-29 & 1.38771611729918e-28 & 1 \tabularnewline
165 & 4.51596814973118e-29 & 9.03193629946235e-29 & 1 \tabularnewline
166 & 3.30847974460374e-29 & 6.61695948920749e-29 & 1 \tabularnewline
167 & 2.51767087543178e-29 & 5.03534175086355e-29 & 1 \tabularnewline
168 & 2.40812238556854e-29 & 4.81624477113708e-29 & 1 \tabularnewline
169 & 2.93155563338487e-29 & 5.86311126676974e-29 & 1 \tabularnewline
170 & 4.85309180020706e-29 & 9.70618360041413e-29 & 1 \tabularnewline
171 & 4.82400937938149e-29 & 9.64801875876297e-29 & 1 \tabularnewline
172 & 2.94210300692661e-29 & 5.88420601385321e-29 & 1 \tabularnewline
173 & 1.9240134778989e-29 & 3.8480269557978e-29 & 1 \tabularnewline
174 & 1.41958639362401e-29 & 2.83917278724802e-29 & 1 \tabularnewline
175 & 1.09994537959075e-29 & 2.19989075918149e-29 & 1 \tabularnewline
176 & 8.81785088401124e-30 & 1.76357017680225e-29 & 1 \tabularnewline
177 & 8.22627833636004e-30 & 1.64525566727201e-29 & 1 \tabularnewline
178 & 6.12348451565904e-30 & 1.22469690313181e-29 & 1 \tabularnewline
179 & 4.69626423997492e-30 & 9.39252847994983e-30 & 1 \tabularnewline
180 & 3.95199117078002e-30 & 7.90398234156005e-30 & 1 \tabularnewline
181 & 3.45481509470423e-30 & 6.90963018940846e-30 & 1 \tabularnewline
182 & 5.90304424100307e-30 & 1.18060884820061e-29 & 1 \tabularnewline
183 & 1.2238893565837e-29 & 2.44777871316741e-29 & 1 \tabularnewline
184 & 2.61139811316831e-29 & 5.22279622633662e-29 & 1 \tabularnewline
185 & 7.03789867130789e-29 & 1.40757973426158e-28 & 1 \tabularnewline
186 & 1.82212891796314e-28 & 3.64425783592629e-28 & 1 \tabularnewline
187 & 1.29590492053475e-27 & 2.5918098410695e-27 & 1 \tabularnewline
188 & 1.75298469675753e-26 & 3.50596939351506e-26 & 1 \tabularnewline
189 & 1.51029359142828e-25 & 3.02058718285657e-25 & 1 \tabularnewline
190 & 1.00684259947661e-24 & 2.01368519895322e-24 & 1 \tabularnewline
191 & 4.30566617781699e-24 & 8.61133235563397e-24 & 1 \tabularnewline
192 & 1.62408064867503e-23 & 3.24816129735006e-23 & 1 \tabularnewline
193 & 5.65103954059181e-23 & 1.13020790811836e-22 & 1 \tabularnewline
194 & 2.72594599486431e-22 & 5.45189198972863e-22 & 1 \tabularnewline
195 & 1.29781988214361e-21 & 2.59563976428721e-21 & 1 \tabularnewline
196 & 3.39901601310006e-21 & 6.79803202620013e-21 & 1 \tabularnewline
197 & 8.70714672261532e-21 & 1.74142934452306e-20 & 1 \tabularnewline
198 & 2.48629897627526e-20 & 4.97259795255051e-20 & 1 \tabularnewline
199 & 7.51458915047279e-20 & 1.50291783009456e-19 & 1 \tabularnewline
200 & 7.66916627968836e-20 & 1.53383325593767e-19 & 1 \tabularnewline
201 & 7.99477228931773e-20 & 1.59895445786355e-19 & 1 \tabularnewline
202 & 7.60949905053125e-20 & 1.52189981010625e-19 & 1 \tabularnewline
203 & 7.47212116673161e-20 & 1.49442423334632e-19 & 1 \tabularnewline
204 & 8.41264354338998e-20 & 1.682528708678e-19 & 1 \tabularnewline
205 & 1.08564304970713e-19 & 2.17128609941426e-19 & 1 \tabularnewline
206 & 7.77112891842928e-20 & 1.55422578368586e-19 & 1 \tabularnewline
207 & 2.03492319887064e-19 & 4.06984639774129e-19 & 1 \tabularnewline
208 & 4.66529934266079e-19 & 9.33059868532157e-19 & 1 \tabularnewline
209 & 9.23216103867941e-19 & 1.84643220773588e-18 & 1 \tabularnewline
210 & 1.69553960075109e-18 & 3.39107920150219e-18 & 1 \tabularnewline
211 & 1.11395320334041e-18 & 2.22790640668081e-18 & 1 \tabularnewline
212 & 3.68140642806411e-18 & 7.36281285612821e-18 & 1 \tabularnewline
213 & 3.27189199195381e-18 & 6.54378398390763e-18 & 1 \tabularnewline
214 & 2.88695750296314e-18 & 5.77391500592628e-18 & 1 \tabularnewline
215 & 2.69271456621124e-18 & 5.38542913242247e-18 & 1 \tabularnewline
216 & 2.40727969766995e-18 & 4.81455939533991e-18 & 1 \tabularnewline
217 & 2.60664853072209e-18 & 5.21329706144419e-18 & 1 \tabularnewline
218 & 2.10388870862922e-18 & 4.20777741725844e-18 & 1 \tabularnewline
219 & 1.48374367445905e-18 & 2.96748734891809e-18 & 1 \tabularnewline
220 & 1.03844861188289e-18 & 2.07689722376578e-18 & 1 \tabularnewline
221 & 7.16529159773322e-19 & 1.43305831954664e-18 & 1 \tabularnewline
222 & 4.96018271268233e-19 & 9.92036542536465e-19 & 1 \tabularnewline
223 & 3.48079836404571e-19 & 6.96159672809143e-19 & 1 \tabularnewline
224 & 3.32004006157786e-19 & 6.64008012315573e-19 & 1 \tabularnewline
225 & 3.08211255273211e-19 & 6.16422510546423e-19 & 1 \tabularnewline
226 & 2.489685926555e-19 & 4.97937185311e-19 & 1 \tabularnewline
227 & 1.74819143050191e-19 & 3.49638286100382e-19 & 1 \tabularnewline
228 & 1.07811051737782e-19 & 2.15622103475564e-19 & 1 \tabularnewline
229 & 6.44276342307231e-20 & 1.28855268461446e-19 & 1 \tabularnewline
230 & 3.49095673649153e-20 & 6.98191347298306e-20 & 1 \tabularnewline
231 & 1.8183783636164e-20 & 3.6367567272328e-20 & 1 \tabularnewline
232 & 1.02215178243262e-20 & 2.04430356486525e-20 & 1 \tabularnewline
233 & 5.053050697058e-21 & 1.0106101394116e-20 & 1 \tabularnewline
234 & 2.5327242715913e-21 & 5.06544854318259e-21 & 1 \tabularnewline
235 & 1.25559496569978e-21 & 2.51118993139955e-21 & 1 \tabularnewline
236 & 3.79685425325671e-21 & 7.59370850651343e-21 & 1 \tabularnewline
237 & 2.47974313202834e-20 & 4.95948626405669e-20 & 1 \tabularnewline
238 & 2.57658701275147e-19 & 5.15317402550293e-19 & 1 \tabularnewline
239 & 4.00127402976423e-18 & 8.00254805952846e-18 & 1 \tabularnewline
240 & 9.01430103507887e-18 & 1.80286020701577e-17 & 1 \tabularnewline
241 & 1.0230679451207e-17 & 2.04613589024139e-17 & 1 \tabularnewline
242 & 5.79884740613188e-16 & 1.15976948122638e-15 & 0.999999999999999 \tabularnewline
243 & 2.49328543496573e-08 & 4.98657086993145e-08 & 0.999999975067146 \tabularnewline
244 & 4.89969836739209e-06 & 9.79939673478418e-06 & 0.999995100301633 \tabularnewline
245 & 0.00658863167236593 & 0.0131772633447319 & 0.993411368327634 \tabularnewline
246 & 0.111044224193361 & 0.222088448386721 & 0.888955775806639 \tabularnewline
247 & 0.101694774864509 & 0.203389549729018 & 0.898305225135491 \tabularnewline
248 & 0.0950356824934537 & 0.190071364986907 & 0.904964317506546 \tabularnewline
249 & 0.0944149658632954 & 0.188829931726591 & 0.905585034136705 \tabularnewline
250 & 0.0897243815682951 & 0.17944876313659 & 0.910275618431705 \tabularnewline
251 & 0.0888633505573136 & 0.177726701114627 & 0.911136649442686 \tabularnewline
252 & 0.0788468585968642 & 0.157693717193728 & 0.921153141403136 \tabularnewline
253 & 0.0724898371816302 & 0.14497967436326 & 0.92751016281837 \tabularnewline
254 & 0.0837487004727201 & 0.16749740094544 & 0.91625129952728 \tabularnewline
255 & 0.0723926475661827 & 0.144785295132365 & 0.927607352433817 \tabularnewline
256 & 0.0633175403315409 & 0.126635080663082 & 0.936682459668459 \tabularnewline
257 & 0.0547468944883431 & 0.109493788976686 & 0.945253105511657 \tabularnewline
258 & 0.0464532802610578 & 0.0929065605221157 & 0.953546719738942 \tabularnewline
259 & 0.0390128289910693 & 0.0780256579821385 & 0.960987171008931 \tabularnewline
260 & 0.0325903069814531 & 0.0651806139629062 & 0.967409693018547 \tabularnewline
261 & 0.0276319792104916 & 0.0552639584209832 & 0.972368020789508 \tabularnewline
262 & 0.0229488466397371 & 0.0458976932794742 & 0.977051153360263 \tabularnewline
263 & 0.0196285810978762 & 0.0392571621957525 & 0.980371418902124 \tabularnewline
264 & 0.0175715938742009 & 0.0351431877484019 & 0.982428406125799 \tabularnewline
265 & 0.0155319477771533 & 0.0310638955543065 & 0.984468052222847 \tabularnewline
266 & 0.0131578726965352 & 0.0263157453930705 & 0.986842127303465 \tabularnewline
267 & 0.010990598667284 & 0.0219811973345681 & 0.989009401332716 \tabularnewline
268 & 0.00905475648259521 & 0.0181095129651904 & 0.990945243517405 \tabularnewline
269 & 0.00729343480817897 & 0.0145868696163579 & 0.992706565191821 \tabularnewline
270 & 0.00599462976180506 & 0.0119892595236101 & 0.994005370238195 \tabularnewline
271 & 0.00483812042658586 & 0.00967624085317171 & 0.995161879573414 \tabularnewline
272 & 0.00400657138472885 & 0.0080131427694577 & 0.995993428615271 \tabularnewline
273 & 0.00351877642291735 & 0.00703755284583471 & 0.996481223577083 \tabularnewline
274 & 0.00341661604486649 & 0.00683323208973298 & 0.996583383955133 \tabularnewline
275 & 0.00273857898740018 & 0.00547715797480036 & 0.9972614210126 \tabularnewline
276 & 0.00311336757033471 & 0.00622673514066941 & 0.996886632429665 \tabularnewline
277 & 0.00242572707069686 & 0.00485145414139372 & 0.997574272929303 \tabularnewline
278 & 0.00237332714904874 & 0.00474665429809747 & 0.997626672850951 \tabularnewline
279 & 0.00214285976998323 & 0.00428571953996645 & 0.997857140230017 \tabularnewline
280 & 0.00215976648822141 & 0.00431953297644283 & 0.997840233511779 \tabularnewline
281 & 0.0021450752854375 & 0.00429015057087499 & 0.997854924714562 \tabularnewline
282 & 0.00230763651263503 & 0.00461527302527006 & 0.997692363487365 \tabularnewline
283 & 0.00268202243093819 & 0.00536404486187638 & 0.997317977569062 \tabularnewline
284 & 0.00413281863526187 & 0.00826563727052373 & 0.995867181364738 \tabularnewline
285 & 0.00513305595941894 & 0.0102661119188379 & 0.994866944040581 \tabularnewline
286 & 0.00581258043144182 & 0.0116251608628836 & 0.994187419568558 \tabularnewline
287 & 0.00542662315698212 & 0.0108532463139642 & 0.994573376843018 \tabularnewline
288 & 0.00508464570053756 & 0.0101692914010751 & 0.994915354299462 \tabularnewline
289 & 0.00560542274217725 & 0.0112108454843545 & 0.994394577257823 \tabularnewline
290 & 0.00872665379579674 & 0.0174533075915935 & 0.991273346204203 \tabularnewline
291 & 0.0129337462667057 & 0.0258674925334114 & 0.987066253733294 \tabularnewline
292 & 0.0133577728217822 & 0.0267155456435643 & 0.986642227178218 \tabularnewline
293 & 0.0116596835154915 & 0.023319367030983 & 0.988340316484508 \tabularnewline
294 & 0.0184335929878955 & 0.0368671859757911 & 0.981566407012105 \tabularnewline
295 & 0.0244588252149996 & 0.0489176504299992 & 0.975541174785 \tabularnewline
296 & 0.02753841875794 & 0.05507683751588 & 0.97246158124206 \tabularnewline
297 & 0.0286560032287719 & 0.0573120064575438 & 0.971343996771228 \tabularnewline
298 & 0.0370507400625768 & 0.0741014801251536 & 0.962949259937423 \tabularnewline
299 & 0.0396158845959665 & 0.079231769191933 & 0.960384115404033 \tabularnewline
300 & 0.0384660209672115 & 0.0769320419344231 & 0.961533979032788 \tabularnewline
301 & 0.036386164488881 & 0.072772328977762 & 0.963613835511119 \tabularnewline
302 & 0.0363156684000127 & 0.0726313368000253 & 0.963684331599987 \tabularnewline
303 & 0.0307662781014572 & 0.0615325562029144 & 0.969233721898543 \tabularnewline
304 & 0.0261723553066801 & 0.0523447106133601 & 0.97382764469332 \tabularnewline
305 & 0.0271618353017715 & 0.054323670603543 & 0.972838164698228 \tabularnewline
306 & 0.0268409884657988 & 0.0536819769315977 & 0.973159011534201 \tabularnewline
307 & 0.039259237001516 & 0.0785184740030321 & 0.960740762998484 \tabularnewline
308 & 0.0541452966018205 & 0.108290593203641 & 0.945854703398179 \tabularnewline
309 & 0.0583198667025052 & 0.11663973340501 & 0.941680133297495 \tabularnewline
310 & 0.0578740317040642 & 0.115748063408128 & 0.942125968295936 \tabularnewline
311 & 0.0534826571290693 & 0.106965314258139 & 0.946517342870931 \tabularnewline
312 & 0.0567397463960063 & 0.113479492792013 & 0.943260253603994 \tabularnewline
313 & 0.0727820193546405 & 0.145564038709281 & 0.927217980645359 \tabularnewline
314 & 0.0834788632520123 & 0.166957726504025 & 0.916521136747988 \tabularnewline
315 & 0.112189139623439 & 0.224378279246878 & 0.887810860376561 \tabularnewline
316 & 0.160921942763444 & 0.321843885526889 & 0.839078057236555 \tabularnewline
317 & 0.186345228766551 & 0.372690457533102 & 0.813654771233449 \tabularnewline
318 & 0.242059504612154 & 0.484119009224307 & 0.757940495387846 \tabularnewline
319 & 0.282093305068208 & 0.564186610136416 & 0.717906694931792 \tabularnewline
320 & 0.348362109703275 & 0.696724219406551 & 0.651637890296725 \tabularnewline
321 & 0.423059566064216 & 0.846119132128431 & 0.576940433935784 \tabularnewline
322 & 0.472317367292503 & 0.944634734585005 & 0.527682632707497 \tabularnewline
323 & 0.502780717504278 & 0.994438564991445 & 0.497219282495722 \tabularnewline
324 & 0.578258392149072 & 0.843483215701856 & 0.421741607850928 \tabularnewline
325 & 0.603873651051723 & 0.792252697896555 & 0.396126348948277 \tabularnewline
326 & 0.621201648920818 & 0.757596702158364 & 0.378798351079182 \tabularnewline
327 & 0.653381880266224 & 0.693236239467553 & 0.346618119733776 \tabularnewline
328 & 0.706834237578304 & 0.586331524843392 & 0.293165762421696 \tabularnewline
329 & 0.728915031153032 & 0.542169937693936 & 0.271084968846968 \tabularnewline
330 & 0.703216027489568 & 0.593567945020864 & 0.296783972510432 \tabularnewline
331 & 0.803761555131684 & 0.392476889736633 & 0.196238444868316 \tabularnewline
332 & 0.899148723735331 & 0.201702552529338 & 0.100851276264669 \tabularnewline
333 & 0.937902191459064 & 0.124195617081872 & 0.0620978085409359 \tabularnewline
334 & 0.97891868936014 & 0.0421626212797208 & 0.0210813106398604 \tabularnewline
335 & 0.990889329117592 & 0.0182213417648151 & 0.00911067088240756 \tabularnewline
336 & 0.993726093180881 & 0.0125478136382383 & 0.00627390681911914 \tabularnewline
337 & 0.994841880028451 & 0.010316239943098 & 0.005158119971549 \tabularnewline
338 & 0.991785759826606 & 0.0164284803467884 & 0.00821424017339421 \tabularnewline
339 & 0.995803847449337 & 0.00839230510132669 & 0.00419615255066335 \tabularnewline
340 & 0.996679813735258 & 0.00664037252948484 & 0.00332018626474242 \tabularnewline
341 & 0.997024123110037 & 0.0059517537799267 & 0.00297587688996335 \tabularnewline
342 & 0.995594335088727 & 0.00881132982254673 & 0.00440566491127337 \tabularnewline
343 & 0.992927920599464 & 0.0141441588010728 & 0.0070720794005364 \tabularnewline
344 & 0.987896494630424 & 0.0242070107391511 & 0.0121035053695756 \tabularnewline
345 & 0.990795783660855 & 0.0184084326782901 & 0.00920421633914503 \tabularnewline
346 & 0.990664927641874 & 0.0186701447162513 & 0.00933507235812567 \tabularnewline
347 & 0.990056417858242 & 0.0198871642835166 & 0.0099435821417583 \tabularnewline
348 & 0.993038478127142 & 0.013923043745716 & 0.00696152187285801 \tabularnewline
349 & 0.985460865155662 & 0.0290782696886753 & 0.0145391348443376 \tabularnewline
350 & 0.970043094851408 & 0.0599138102971844 & 0.0299569051485922 \tabularnewline
351 & 0.941807974821139 & 0.116384050357722 & 0.0581920251788612 \tabularnewline
352 & 0.896238322743978 & 0.207523354512045 & 0.103761677256022 \tabularnewline
353 & 0.8148717885974 & 0.370256422805201 & 0.1851282114026 \tabularnewline
354 & 0.754641655924598 & 0.490716688150804 & 0.245358344075402 \tabularnewline
355 & 0.672087307996169 & 0.655825384007662 & 0.327912692003831 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=182533&T=5

[TABLE]
[ROW][C]Goldfeld-Quandt test for Heteroskedasticity[/C][/ROW]
[ROW][C]p-values[/C][C]Alternative Hypothesis[/C][/ROW]
[ROW][C]breakpoint index[/C][C]greater[/C][C]2-sided[/C][C]less[/C][/ROW]
[ROW][C]5[/C][C]1.28836505591764e-05[/C][C]2.57673011183529e-05[/C][C]0.999987116349441[/C][/ROW]
[ROW][C]6[/C][C]0.000141567817121486[/C][C]0.000283135634242971[/C][C]0.999858432182879[/C][/ROW]
[ROW][C]7[/C][C]2.33593169360751e-05[/C][C]4.67186338721502e-05[/C][C]0.999976640683064[/C][/ROW]
[ROW][C]8[/C][C]2.54611020760631e-06[/C][C]5.09222041521262e-06[/C][C]0.999997453889792[/C][/ROW]
[ROW][C]9[/C][C]2.09115212348624e-07[/C][C]4.18230424697248e-07[/C][C]0.999999790884788[/C][/ROW]
[ROW][C]10[/C][C]1.6547591519346e-08[/C][C]3.30951830386919e-08[/C][C]0.999999983452408[/C][/ROW]
[ROW][C]11[/C][C]1.34568586619946e-09[/C][C]2.69137173239892e-09[/C][C]0.999999998654314[/C][/ROW]
[ROW][C]12[/C][C]1.40550681534414e-10[/C][C]2.81101363068827e-10[/C][C]0.999999999859449[/C][/ROW]
[ROW][C]13[/C][C]2.6046938524677e-11[/C][C]5.2093877049354e-11[/C][C]0.999999999973953[/C][/ROW]
[ROW][C]14[/C][C]5.00322467408604e-12[/C][C]1.00064493481721e-11[/C][C]0.999999999994997[/C][/ROW]
[ROW][C]15[/C][C]1.26055779239436e-12[/C][C]2.52111558478872e-12[/C][C]0.999999999998739[/C][/ROW]
[ROW][C]16[/C][C]2.85790879012075e-13[/C][C]5.7158175802415e-13[/C][C]0.999999999999714[/C][/ROW]
[ROW][C]17[/C][C]6.90149441458902e-14[/C][C]1.3802988829178e-13[/C][C]0.999999999999931[/C][/ROW]
[ROW][C]18[/C][C]1.53827790456316e-14[/C][C]3.07655580912631e-14[/C][C]0.999999999999985[/C][/ROW]
[ROW][C]19[/C][C]3.36894647324419e-15[/C][C]6.73789294648838e-15[/C][C]0.999999999999997[/C][/ROW]
[ROW][C]20[/C][C]5.54153480488616e-16[/C][C]1.10830696097723e-15[/C][C]0.999999999999999[/C][/ROW]
[ROW][C]21[/C][C]1.12670961739097e-16[/C][C]2.25341923478195e-16[/C][C]1[/C][/ROW]
[ROW][C]22[/C][C]4.62348175245912e-17[/C][C]9.24696350491824e-17[/C][C]1[/C][/ROW]
[ROW][C]23[/C][C]3.22516233238376e-17[/C][C]6.45032466476753e-17[/C][C]1[/C][/ROW]
[ROW][C]24[/C][C]2.86397798002785e-17[/C][C]5.7279559600557e-17[/C][C]1[/C][/ROW]
[ROW][C]25[/C][C]2.43915542975917e-17[/C][C]4.87831085951833e-17[/C][C]1[/C][/ROW]
[ROW][C]26[/C][C]5.1531018057076e-17[/C][C]1.03062036114152e-16[/C][C]1[/C][/ROW]
[ROW][C]27[/C][C]1.60950018157615e-12[/C][C]3.21900036315229e-12[/C][C]0.999999999998391[/C][/ROW]
[ROW][C]28[/C][C]7.32529560384172e-11[/C][C]1.46505912076834e-10[/C][C]0.999999999926747[/C][/ROW]
[ROW][C]29[/C][C]2.15646682243847e-10[/C][C]4.31293364487694e-10[/C][C]0.999999999784353[/C][/ROW]
[ROW][C]30[/C][C]1.18309988990227e-10[/C][C]2.36619977980454e-10[/C][C]0.99999999988169[/C][/ROW]
[ROW][C]31[/C][C]6.6086021108656e-11[/C][C]1.32172042217312e-10[/C][C]0.999999999933914[/C][/ROW]
[ROW][C]32[/C][C]4.37098492692885e-11[/C][C]8.74196985385769e-11[/C][C]0.99999999995629[/C][/ROW]
[ROW][C]33[/C][C]1.5778204025144e-11[/C][C]3.15564080502881e-11[/C][C]0.999999999984222[/C][/ROW]
[ROW][C]34[/C][C]4.98240389976132e-12[/C][C]9.96480779952264e-12[/C][C]0.999999999995018[/C][/ROW]
[ROW][C]35[/C][C]1.46204829086189e-12[/C][C]2.92409658172379e-12[/C][C]0.999999999998538[/C][/ROW]
[ROW][C]36[/C][C]4.14890582765384e-13[/C][C]8.29781165530769e-13[/C][C]0.999999999999585[/C][/ROW]
[ROW][C]37[/C][C]1.20739589154281e-13[/C][C]2.41479178308562e-13[/C][C]0.999999999999879[/C][/ROW]
[ROW][C]38[/C][C]3.3441332703901e-14[/C][C]6.68826654078019e-14[/C][C]0.999999999999967[/C][/ROW]
[ROW][C]39[/C][C]9.1159815716797e-15[/C][C]1.82319631433594e-14[/C][C]0.999999999999991[/C][/ROW]
[ROW][C]40[/C][C]3.31885303164417e-15[/C][C]6.63770606328835e-15[/C][C]0.999999999999997[/C][/ROW]
[ROW][C]41[/C][C]9.67553502661839e-16[/C][C]1.93510700532368e-15[/C][C]0.999999999999999[/C][/ROW]
[ROW][C]42[/C][C]2.59278063072423e-16[/C][C]5.18556126144845e-16[/C][C]1[/C][/ROW]
[ROW][C]43[/C][C]6.91032783685609e-17[/C][C]1.38206556737122e-16[/C][C]1[/C][/ROW]
[ROW][C]44[/C][C]1.89892244480072e-17[/C][C]3.79784488960144e-17[/C][C]1[/C][/ROW]
[ROW][C]45[/C][C]5.0568312324494e-18[/C][C]1.01136624648988e-17[/C][C]1[/C][/ROW]
[ROW][C]46[/C][C]1.39596248309249e-18[/C][C]2.79192496618497e-18[/C][C]1[/C][/ROW]
[ROW][C]47[/C][C]3.72197650204564e-19[/C][C]7.44395300409128e-19[/C][C]1[/C][/ROW]
[ROW][C]48[/C][C]1.27751066695141e-19[/C][C]2.55502133390283e-19[/C][C]1[/C][/ROW]
[ROW][C]49[/C][C]4.233600426828e-20[/C][C]8.46720085365601e-20[/C][C]1[/C][/ROW]
[ROW][C]50[/C][C]1.61848001628161e-20[/C][C]3.23696003256322e-20[/C][C]1[/C][/ROW]
[ROW][C]51[/C][C]5.71619434638498e-21[/C][C]1.143238869277e-20[/C][C]1[/C][/ROW]
[ROW][C]52[/C][C]1.81377667747878e-21[/C][C]3.62755335495756e-21[/C][C]1[/C][/ROW]
[ROW][C]53[/C][C]5.33251974121052e-22[/C][C]1.0665039482421e-21[/C][C]1[/C][/ROW]
[ROW][C]54[/C][C]1.44849663585862e-22[/C][C]2.89699327171724e-22[/C][C]1[/C][/ROW]
[ROW][C]55[/C][C]3.96927000749796e-23[/C][C]7.93854001499592e-23[/C][C]1[/C][/ROW]
[ROW][C]56[/C][C]1.14683437701718e-23[/C][C]2.29366875403437e-23[/C][C]1[/C][/ROW]
[ROW][C]57[/C][C]3.68881841957161e-24[/C][C]7.37763683914322e-24[/C][C]1[/C][/ROW]
[ROW][C]58[/C][C]1.17970010125076e-24[/C][C]2.35940020250151e-24[/C][C]1[/C][/ROW]
[ROW][C]59[/C][C]8.02557753873623e-25[/C][C]1.60511550774725e-24[/C][C]1[/C][/ROW]
[ROW][C]60[/C][C]3.0058022838579e-25[/C][C]6.01160456771581e-25[/C][C]1[/C][/ROW]
[ROW][C]61[/C][C]9.37273950751503e-26[/C][C]1.87454790150301e-25[/C][C]1[/C][/ROW]
[ROW][C]62[/C][C]2.54808356214649e-26[/C][C]5.09616712429297e-26[/C][C]1[/C][/ROW]
[ROW][C]63[/C][C]9.56176617091807e-27[/C][C]1.91235323418361e-26[/C][C]1[/C][/ROW]
[ROW][C]64[/C][C]3.47720849758504e-27[/C][C]6.95441699517009e-27[/C][C]1[/C][/ROW]
[ROW][C]65[/C][C]1.02706057523913e-27[/C][C]2.05412115047825e-27[/C][C]1[/C][/ROW]
[ROW][C]66[/C][C]2.81278472045736e-28[/C][C]5.62556944091471e-28[/C][C]1[/C][/ROW]
[ROW][C]67[/C][C]7.74475050982784e-29[/C][C]1.54895010196557e-28[/C][C]1[/C][/ROW]
[ROW][C]68[/C][C]2.32892595627811e-29[/C][C]4.65785191255623e-29[/C][C]1[/C][/ROW]
[ROW][C]69[/C][C]8.04072365353511e-30[/C][C]1.60814473070702e-29[/C][C]1[/C][/ROW]
[ROW][C]70[/C][C]5.09832470226007e-30[/C][C]1.01966494045201e-29[/C][C]1[/C][/ROW]
[ROW][C]71[/C][C]1.94575654517216e-30[/C][C]3.89151309034431e-30[/C][C]1[/C][/ROW]
[ROW][C]72[/C][C]5.76801699486652e-31[/C][C]1.1536033989733e-30[/C][C]1[/C][/ROW]
[ROW][C]73[/C][C]1.69956910788021e-31[/C][C]3.39913821576043e-31[/C][C]1[/C][/ROW]
[ROW][C]74[/C][C]6.04679214758189e-32[/C][C]1.20935842951638e-31[/C][C]1[/C][/ROW]
[ROW][C]75[/C][C]3.2193942278364e-32[/C][C]6.43878845567279e-32[/C][C]1[/C][/ROW]
[ROW][C]76[/C][C]1.04516067171008e-32[/C][C]2.09032134342017e-32[/C][C]1[/C][/ROW]
[ROW][C]77[/C][C]3.56395273870218e-33[/C][C]7.12790547740436e-33[/C][C]1[/C][/ROW]
[ROW][C]78[/C][C]1.63811963882261e-33[/C][C]3.27623927764521e-33[/C][C]1[/C][/ROW]
[ROW][C]79[/C][C]1.13946592058243e-33[/C][C]2.27893184116487e-33[/C][C]1[/C][/ROW]
[ROW][C]80[/C][C]1.61103701612639e-33[/C][C]3.22207403225278e-33[/C][C]1[/C][/ROW]
[ROW][C]81[/C][C]7.14905997016221e-34[/C][C]1.42981199403244e-33[/C][C]1[/C][/ROW]
[ROW][C]82[/C][C]2.85203653347021e-34[/C][C]5.70407306694043e-34[/C][C]1[/C][/ROW]
[ROW][C]83[/C][C]1.28426471241718e-34[/C][C]2.56852942483435e-34[/C][C]1[/C][/ROW]
[ROW][C]84[/C][C]8.53552106742808e-35[/C][C]1.70710421348562e-34[/C][C]1[/C][/ROW]
[ROW][C]85[/C][C]7.27816449563757e-35[/C][C]1.45563289912751e-34[/C][C]1[/C][/ROW]
[ROW][C]86[/C][C]1.56193113620178e-34[/C][C]3.12386227240356e-34[/C][C]1[/C][/ROW]
[ROW][C]87[/C][C]4.48519146959755e-34[/C][C]8.9703829391951e-34[/C][C]1[/C][/ROW]
[ROW][C]88[/C][C]1.17793385906702e-33[/C][C]2.35586771813404e-33[/C][C]1[/C][/ROW]
[ROW][C]89[/C][C]3.47058556530757e-33[/C][C]6.94117113061513e-33[/C][C]1[/C][/ROW]
[ROW][C]90[/C][C]1.55681157494411e-32[/C][C]3.11362314988822e-32[/C][C]1[/C][/ROW]
[ROW][C]91[/C][C]1.77920043585298e-31[/C][C]3.55840087170596e-31[/C][C]1[/C][/ROW]
[ROW][C]92[/C][C]5.85850232303372e-31[/C][C]1.17170046460674e-30[/C][C]1[/C][/ROW]
[ROW][C]93[/C][C]1.35634381532589e-30[/C][C]2.71268763065178e-30[/C][C]1[/C][/ROW]
[ROW][C]94[/C][C]5.87747931426958e-30[/C][C]1.17549586285392e-29[/C][C]1[/C][/ROW]
[ROW][C]95[/C][C]2.92480979991843e-29[/C][C]5.84961959983686e-29[/C][C]1[/C][/ROW]
[ROW][C]96[/C][C]8.70712851915043e-29[/C][C]1.74142570383009e-28[/C][C]1[/C][/ROW]
[ROW][C]97[/C][C]4.40398741473381e-28[/C][C]8.80797482946762e-28[/C][C]1[/C][/ROW]
[ROW][C]98[/C][C]4.86003928566795e-27[/C][C]9.72007857133591e-27[/C][C]1[/C][/ROW]
[ROW][C]99[/C][C]2.05288993356987e-26[/C][C]4.10577986713975e-26[/C][C]1[/C][/ROW]
[ROW][C]100[/C][C]3.08598801727736e-25[/C][C]6.17197603455471e-25[/C][C]1[/C][/ROW]
[ROW][C]101[/C][C]1.25443323833278e-23[/C][C]2.50886647666556e-23[/C][C]1[/C][/ROW]
[ROW][C]102[/C][C]1.36312024121245e-22[/C][C]2.72624048242491e-22[/C][C]1[/C][/ROW]
[ROW][C]103[/C][C]2.61886325251793e-21[/C][C]5.23772650503587e-21[/C][C]1[/C][/ROW]
[ROW][C]104[/C][C]5.06794348393714e-20[/C][C]1.01358869678743e-19[/C][C]1[/C][/ROW]
[ROW][C]105[/C][C]3.14906945093065e-19[/C][C]6.29813890186129e-19[/C][C]1[/C][/ROW]
[ROW][C]106[/C][C]3.07539365110599e-18[/C][C]6.15078730221197e-18[/C][C]1[/C][/ROW]
[ROW][C]107[/C][C]8.28385605688675e-18[/C][C]1.65677121137735e-17[/C][C]1[/C][/ROW]
[ROW][C]108[/C][C]1.59605497672697e-17[/C][C]3.19210995345394e-17[/C][C]1[/C][/ROW]
[ROW][C]109[/C][C]1.62031908293024e-17[/C][C]3.24063816586048e-17[/C][C]1[/C][/ROW]
[ROW][C]110[/C][C]2.57769501830879e-17[/C][C]5.15539003661757e-17[/C][C]1[/C][/ROW]
[ROW][C]111[/C][C]1.25085236809781e-17[/C][C]2.50170473619562e-17[/C][C]1[/C][/ROW]
[ROW][C]112[/C][C]6.48223068450179e-18[/C][C]1.29644613690036e-17[/C][C]1[/C][/ROW]
[ROW][C]113[/C][C]3.68900894527918e-18[/C][C]7.37801789055835e-18[/C][C]1[/C][/ROW]
[ROW][C]114[/C][C]1.94992361241975e-18[/C][C]3.8998472248395e-18[/C][C]1[/C][/ROW]
[ROW][C]115[/C][C]9.71612519857205e-19[/C][C]1.94322503971441e-18[/C][C]1[/C][/ROW]
[ROW][C]116[/C][C]4.93392396044553e-19[/C][C]9.86784792089107e-19[/C][C]1[/C][/ROW]
[ROW][C]117[/C][C]2.81699774170111e-19[/C][C]5.63399548340222e-19[/C][C]1[/C][/ROW]
[ROW][C]118[/C][C]1.47125611533963e-19[/C][C]2.94251223067926e-19[/C][C]1[/C][/ROW]
[ROW][C]119[/C][C]7.92312742706521e-20[/C][C]1.58462548541304e-19[/C][C]1[/C][/ROW]
[ROW][C]120[/C][C]3.74155606649635e-20[/C][C]7.4831121329927e-20[/C][C]1[/C][/ROW]
[ROW][C]121[/C][C]1.68204222822496e-20[/C][C]3.36408445644991e-20[/C][C]1[/C][/ROW]
[ROW][C]122[/C][C]7.59572539233224e-21[/C][C]1.51914507846645e-20[/C][C]1[/C][/ROW]
[ROW][C]123[/C][C]3.41126796093854e-21[/C][C]6.82253592187709e-21[/C][C]1[/C][/ROW]
[ROW][C]124[/C][C]1.57005548537995e-21[/C][C]3.1401109707599e-21[/C][C]1[/C][/ROW]
[ROW][C]125[/C][C]7.49273406709445e-22[/C][C]1.49854681341889e-21[/C][C]1[/C][/ROW]
[ROW][C]126[/C][C]3.55630558967106e-22[/C][C]7.11261117934212e-22[/C][C]1[/C][/ROW]
[ROW][C]127[/C][C]1.72601416817044e-22[/C][C]3.45202833634089e-22[/C][C]1[/C][/ROW]
[ROW][C]128[/C][C]8.72338924401213e-23[/C][C]1.74467784880243e-22[/C][C]1[/C][/ROW]
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[ROW][C]171[/C][C]4.82400937938149e-29[/C][C]9.64801875876297e-29[/C][C]1[/C][/ROW]
[ROW][C]172[/C][C]2.94210300692661e-29[/C][C]5.88420601385321e-29[/C][C]1[/C][/ROW]
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[ROW][C]180[/C][C]3.95199117078002e-30[/C][C]7.90398234156005e-30[/C][C]1[/C][/ROW]
[ROW][C]181[/C][C]3.45481509470423e-30[/C][C]6.90963018940846e-30[/C][C]1[/C][/ROW]
[ROW][C]182[/C][C]5.90304424100307e-30[/C][C]1.18060884820061e-29[/C][C]1[/C][/ROW]
[ROW][C]183[/C][C]1.2238893565837e-29[/C][C]2.44777871316741e-29[/C][C]1[/C][/ROW]
[ROW][C]184[/C][C]2.61139811316831e-29[/C][C]5.22279622633662e-29[/C][C]1[/C][/ROW]
[ROW][C]185[/C][C]7.03789867130789e-29[/C][C]1.40757973426158e-28[/C][C]1[/C][/ROW]
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[ROW][C]335[/C][C]0.990889329117592[/C][C]0.0182213417648151[/C][C]0.00911067088240756[/C][/ROW]
[ROW][C]336[/C][C]0.993726093180881[/C][C]0.0125478136382383[/C][C]0.00627390681911914[/C][/ROW]
[ROW][C]337[/C][C]0.994841880028451[/C][C]0.010316239943098[/C][C]0.005158119971549[/C][/ROW]
[ROW][C]338[/C][C]0.991785759826606[/C][C]0.0164284803467884[/C][C]0.00821424017339421[/C][/ROW]
[ROW][C]339[/C][C]0.995803847449337[/C][C]0.00839230510132669[/C][C]0.00419615255066335[/C][/ROW]
[ROW][C]340[/C][C]0.996679813735258[/C][C]0.00664037252948484[/C][C]0.00332018626474242[/C][/ROW]
[ROW][C]341[/C][C]0.997024123110037[/C][C]0.0059517537799267[/C][C]0.00297587688996335[/C][/ROW]
[ROW][C]342[/C][C]0.995594335088727[/C][C]0.00881132982254673[/C][C]0.00440566491127337[/C][/ROW]
[ROW][C]343[/C][C]0.992927920599464[/C][C]0.0141441588010728[/C][C]0.0070720794005364[/C][/ROW]
[ROW][C]344[/C][C]0.987896494630424[/C][C]0.0242070107391511[/C][C]0.0121035053695756[/C][/ROW]
[ROW][C]345[/C][C]0.990795783660855[/C][C]0.0184084326782901[/C][C]0.00920421633914503[/C][/ROW]
[ROW][C]346[/C][C]0.990664927641874[/C][C]0.0186701447162513[/C][C]0.00933507235812567[/C][/ROW]
[ROW][C]347[/C][C]0.990056417858242[/C][C]0.0198871642835166[/C][C]0.0099435821417583[/C][/ROW]
[ROW][C]348[/C][C]0.993038478127142[/C][C]0.013923043745716[/C][C]0.00696152187285801[/C][/ROW]
[ROW][C]349[/C][C]0.985460865155662[/C][C]0.0290782696886753[/C][C]0.0145391348443376[/C][/ROW]
[ROW][C]350[/C][C]0.970043094851408[/C][C]0.0599138102971844[/C][C]0.0299569051485922[/C][/ROW]
[ROW][C]351[/C][C]0.941807974821139[/C][C]0.116384050357722[/C][C]0.0581920251788612[/C][/ROW]
[ROW][C]352[/C][C]0.896238322743978[/C][C]0.207523354512045[/C][C]0.103761677256022[/C][/ROW]
[ROW][C]353[/C][C]0.8148717885974[/C][C]0.370256422805201[/C][C]0.1851282114026[/C][/ROW]
[ROW][C]354[/C][C]0.754641655924598[/C][C]0.490716688150804[/C][C]0.245358344075402[/C][/ROW]
[ROW][C]355[/C][C]0.672087307996169[/C][C]0.655825384007662[/C][C]0.327912692003831[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=182533&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=182533&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
51.28836505591764e-052.57673011183529e-050.999987116349441
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92.09115212348624e-074.18230424697248e-070.999999790884788
101.6547591519346e-083.30951830386919e-080.999999983452408
111.34568586619946e-092.69137173239892e-090.999999998654314
121.40550681534414e-102.81101363068827e-100.999999999859449
132.6046938524677e-115.2093877049354e-110.999999999973953
145.00322467408604e-121.00064493481721e-110.999999999994997
151.26055779239436e-122.52111558478872e-120.999999999998739
162.85790879012075e-135.7158175802415e-130.999999999999714
176.90149441458902e-141.3802988829178e-130.999999999999931
181.53827790456316e-143.07655580912631e-140.999999999999985
193.36894647324419e-156.73789294648838e-150.999999999999997
205.54153480488616e-161.10830696097723e-150.999999999999999
211.12670961739097e-162.25341923478195e-161
224.62348175245912e-179.24696350491824e-171
233.22516233238376e-176.45032466476753e-171
242.86397798002785e-175.7279559600557e-171
252.43915542975917e-174.87831085951833e-171
265.1531018057076e-171.03062036114152e-161
271.60950018157615e-123.21900036315229e-120.999999999998391
287.32529560384172e-111.46505912076834e-100.999999999926747
292.15646682243847e-104.31293364487694e-100.999999999784353
301.18309988990227e-102.36619977980454e-100.99999999988169
316.6086021108656e-111.32172042217312e-100.999999999933914
324.37098492692885e-118.74196985385769e-110.99999999995629
331.5778204025144e-113.15564080502881e-110.999999999984222
344.98240389976132e-129.96480779952264e-120.999999999995018
351.46204829086189e-122.92409658172379e-120.999999999998538
364.14890582765384e-138.29781165530769e-130.999999999999585
371.20739589154281e-132.41479178308562e-130.999999999999879
383.3441332703901e-146.68826654078019e-140.999999999999967
399.1159815716797e-151.82319631433594e-140.999999999999991
403.31885303164417e-156.63770606328835e-150.999999999999997
419.67553502661839e-161.93510700532368e-150.999999999999999
422.59278063072423e-165.18556126144845e-161
436.91032783685609e-171.38206556737122e-161
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461.39596248309249e-182.79192496618497e-181
473.72197650204564e-197.44395300409128e-191
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535.33251974121052e-221.0665039482421e-211
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553.96927000749796e-237.93854001499592e-231
561.14683437701718e-232.29366875403437e-231
573.68881841957161e-247.37763683914322e-241
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598.02557753873623e-251.60511550774725e-241
603.0058022838579e-256.01160456771581e-251
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622.54808356214649e-265.09616712429297e-261
639.56176617091807e-271.91235323418361e-261
643.47720849758504e-276.95441699517009e-271
651.02706057523913e-272.05412115047825e-271
662.81278472045736e-285.62556944091471e-281
677.74475050982784e-291.54895010196557e-281
682.32892595627811e-294.65785191255623e-291
698.04072365353511e-301.60814473070702e-291
705.09832470226007e-301.01966494045201e-291
711.94575654517216e-303.89151309034431e-301
725.76801699486652e-311.1536033989733e-301
731.69956910788021e-313.39913821576043e-311
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753.2193942278364e-326.43878845567279e-321
761.04516067171008e-322.09032134342017e-321
773.56395273870218e-337.12790547740436e-331
781.63811963882261e-333.27623927764521e-331
791.13946592058243e-332.27893184116487e-331
801.61103701612639e-333.22207403225278e-331
817.14905997016221e-341.42981199403244e-331
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831.28426471241718e-342.56852942483435e-341
848.53552106742808e-351.70710421348562e-341
857.27816449563757e-351.45563289912751e-341
861.56193113620178e-343.12386227240356e-341
874.48519146959755e-348.9703829391951e-341
881.17793385906702e-332.35586771813404e-331
893.47058556530757e-336.94117113061513e-331
901.55681157494411e-323.11362314988822e-321
911.77920043585298e-313.55840087170596e-311
925.85850232303372e-311.17170046460674e-301
931.35634381532589e-302.71268763065178e-301
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952.92480979991843e-295.84961959983686e-291
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1111.25085236809781e-172.50170473619562e-171
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1914.30566617781699e-248.61133235563397e-241
1921.62408064867503e-233.24816129735006e-231
1935.65103954059181e-231.13020790811836e-221
1942.72594599486431e-225.45189198972863e-221
1951.29781988214361e-212.59563976428721e-211
1963.39901601310006e-216.79803202620013e-211
1978.70714672261532e-211.74142934452306e-201
1982.48629897627526e-204.97259795255051e-201
1997.51458915047279e-201.50291783009456e-191
2007.66916627968836e-201.53383325593767e-191
2017.99477228931773e-201.59895445786355e-191
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2700.005994629761805060.01198925952361010.994005370238195
2710.004838120426585860.009676240853171710.995161879573414
2720.004006571384728850.00801314276945770.995993428615271
2730.003518776422917350.007037552845834710.996481223577083
2740.003416616044866490.006833232089732980.996583383955133
2750.002738578987400180.005477157974800360.9972614210126
2760.003113367570334710.006226735140669410.996886632429665
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2800.002159766488221410.004319532976442830.997840233511779
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2820.002307636512635030.004615273025270060.997692363487365
2830.002682022430938190.005364044861876380.997317977569062
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2850.005133055959418940.01026611191883790.994866944040581
2860.005812580431441820.01162516086288360.994187419568558
2870.005426623156982120.01085324631396420.994573376843018
2880.005084645700537560.01016929140107510.994915354299462
2890.005605422742177250.01121084548435450.994394577257823
2900.008726653795796740.01745330759159350.991273346204203
2910.01293374626670570.02586749253341140.987066253733294
2920.01335777282178220.02671554564356430.986642227178218
2930.01165968351549150.0233193670309830.988340316484508
2940.01843359298789550.03686718597579110.981566407012105
2950.02445882521499960.04891765042999920.975541174785
2960.027538418757940.055076837515880.97246158124206
2970.02865600322877190.05731200645754380.971343996771228
2980.03705074006257680.07410148012515360.962949259937423
2990.03961588459596650.0792317691919330.960384115404033
3000.03846602096721150.07693204193442310.961533979032788
3010.0363861644888810.0727723289777620.963613835511119
3020.03631566840001270.07263133680002530.963684331599987
3030.03076627810145720.06153255620291440.969233721898543
3040.02617235530668010.05234471061336010.97382764469332
3050.02716183530177150.0543236706035430.972838164698228
3060.02684098846579880.05368197693159770.973159011534201
3070.0392592370015160.07851847400303210.960740762998484
3080.05414529660182050.1082905932036410.945854703398179
3090.05831986670250520.116639733405010.941680133297495
3100.05787403170406420.1157480634081280.942125968295936
3110.05348265712906930.1069653142581390.946517342870931
3120.05673974639600630.1134794927920130.943260253603994
3130.07278201935464050.1455640387092810.927217980645359
3140.08347886325201230.1669577265040250.916521136747988
3150.1121891396234390.2243782792468780.887810860376561
3160.1609219427634440.3218438855268890.839078057236555
3170.1863452287665510.3726904575331020.813654771233449
3180.2420595046121540.4841190092243070.757940495387846
3190.2820933050682080.5641866101364160.717906694931792
3200.3483621097032750.6967242194065510.651637890296725
3210.4230595660642160.8461191321284310.576940433935784
3220.4723173672925030.9446347345850050.527682632707497
3230.5027807175042780.9944385649914450.497219282495722
3240.5782583921490720.8434832157018560.421741607850928
3250.6038736510517230.7922526978965550.396126348948277
3260.6212016489208180.7575967021583640.378798351079182
3270.6533818802662240.6932362394675530.346618119733776
3280.7068342375783040.5863315248433920.293165762421696
3290.7289150311530320.5421699376939360.271084968846968
3300.7032160274895680.5935679450208640.296783972510432
3310.8037615551316840.3924768897366330.196238444868316
3320.8991487237353310.2017025525293380.100851276264669
3330.9379021914590640.1241956170818720.0620978085409359
3340.978918689360140.04216262127972080.0210813106398604
3350.9908893291175920.01822134176481510.00911067088240756
3360.9937260931808810.01254781363823830.00627390681911914
3370.9948418800284510.0103162399430980.005158119971549
3380.9917857598266060.01642848034678840.00821424017339421
3390.9958038474493370.008392305101326690.00419615255066335
3400.9966798137352580.006640372529484840.00332018626474242
3410.9970241231100370.00595175377992670.00297587688996335
3420.9955943350887270.008811329822546730.00440566491127337
3430.9929279205994640.01414415880107280.0070720794005364
3440.9878964946304240.02420701073915110.0121035053695756
3450.9907957836608550.01840843267829010.00920421633914503
3460.9906649276418740.01867014471625130.00933507235812567
3470.9900564178582420.01988716428351660.0099435821417583
3480.9930384781271420.0139230437457160.00696152187285801
3490.9854608651556620.02907826968867530.0145391348443376
3500.9700430948514080.05991381029718440.0299569051485922
3510.9418079748211390.1163840503577220.0581920251788612
3520.8962383227439780.2075233545120450.103761677256022
3530.81487178859740.3702564228052010.1851282114026
3540.7546416559245980.4907166881508040.245358344075402
3550.6720873079961690.6558253840076620.327912692003831






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level2580.735042735042735NOK
5% type I error level2910.829059829059829NOK
10% type I error level3080.877492877492878NOK

\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 & 258 & 0.735042735042735 & NOK \tabularnewline
5% type I error level & 291 & 0.829059829059829 & NOK \tabularnewline
10% type I error level & 308 & 0.877492877492878 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=182533&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]258[/C][C]0.735042735042735[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]291[/C][C]0.829059829059829[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]308[/C][C]0.877492877492878[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=182533&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=182533&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 level2580.735042735042735NOK
5% type I error level2910.829059829059829NOK
10% type I error level3080.877492877492878NOK


Figures (Output of Computation)

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Input Parameters & R Code

Parameters (Session):
par1 = 1 ; par2 = 2 ; par3 = Exact Pearson Chi-Squared by Simulation ;
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$coefficients[i,1] > 0) myeq <- paste(myeq, '+', '')
myeq <- paste(myeq, mysum$coefficients[i,1], 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,mysum$coefficients[i,1])
a<-table.element(a, round(mysum$coefficients[i,2],6))
a<-table.element(a, round(mysum$coefficients[i,3],4))
a<-table.element(a, round(mysum$coefficients[i,4],6))
a<-table.element(a, round(mysum$coefficients[i,4]/2,6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable2.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Regression Statistics', 2, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Multiple R',1,TRUE)
a<-table.element(a, sqrt(mysum$r.squared))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'R-squared',1,TRUE)
a<-table.element(a, mysum$r.squared)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Adjusted R-squared',1,TRUE)
a<-table.element(a, mysum$adj.r.squared)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (value)',1,TRUE)
a<-table.element(a, mysum$fstatistic[1])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (DF numerator)',1,TRUE)
a<-table.element(a, mysum$fstatistic[2])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (DF denominator)',1,TRUE)
a<-table.element(a, mysum$fstatistic[3])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'p-value',1,TRUE)
a<-table.element(a, 1-pf(mysum$fstatistic[1],mysum$fstatistic[2],mysum$fstatistic[3]))
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, mysum$sigma)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Sum Squared Residuals',1,TRUE)
a<-table.element(a, sum(myerror*myerror))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable3.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Actuals, Interpolation, and Residuals', 4, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Time or Index', 1, TRUE)
a<-table.element(a, 'Actuals', 1, TRUE)
a<-table.element(a, 'Interpolation
Forecast', 1, TRUE)
a<-table.element(a, 'Residuals
Prediction Error', 1, TRUE)
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,i, 1, TRUE)
a<-table.element(a,x[i])
a<-table.element(a,x[i]-mysum$resid[i])
a<-table.element(a,mysum$resid[i])
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,gqarr[mypoint-kp3+1,1])
a<-table.element(a,gqarr[mypoint-kp3+1,2])
a<-table.element(a,gqarr[mypoint-kp3+1,3])
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,numsignificant1)
a<-table.element(a,numsignificant1/numgqtests)
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,numsignificant5)
a<-table.element(a,numsignificant5/numgqtests)
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,numsignificant10)
a<-table.element(a,numsignificant10/numgqtests)
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')
}