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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationWed, 16 Nov 2011 15:05:15 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Nov/16/t1321473993wkyde33btlydnm3.htm/, Retrieved Fri, 29 Mar 2024 13:08:08 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=144181, Retrieved Fri, 29 Mar 2024 13:08:08 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact84
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [Arabica Price in ...] [2008-01-05 23:43:18] [74be16979710d4c4e7c6647856088456]
- RMPD    [Multiple Regression] [] [2011-11-16 20:05:15] [d160b678fd2d7bb562db2147d7efddc2] [Current]
- RM D      [Pearson Correlation] [] [2011-11-16 20:11:30] [489eb911c8db04aca1fc54d886fc3144]
- RM D      [Linear Regression Graphical Model Validation] [] [2011-11-16 20:38:43] [489eb911c8db04aca1fc54d886fc3144]
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Dataseries X:
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	330,1
90,44	329,2
86,97	334,9
79,98	315,8
81,22	315,4
87,35	319,6
83,64	317,3
82,22	313,8
94,4	315,8
102,18	311,3




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time10 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 10 seconds \tabularnewline
R Server & 'Herman Ole Andreas Wold' @ wold.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=144181&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]10 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Herman Ole Andreas Wold' @ wold.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=144181&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=144181&T=0

As an alternative you can also use a 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 time10 seconds
R Server'Herman Ole Andreas Wold' @ wold.wessa.net







Multiple Linear Regression - Estimated Regression Equation
Xt[t] = -6.60030865300791 + 0.301253887245413Yt[t] -0.04849535655044t + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
Xt[t] =  -6.60030865300791 +  0.301253887245413Yt[t] -0.04849535655044t  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=144181&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]Xt[t] =  -6.60030865300791 +  0.301253887245413Yt[t] -0.04849535655044t  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=144181&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=144181&T=1

As an alternative you can also use a QR Code:  

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

Multiple Linear Regression - Estimated Regression Equation
Xt[t] = -6.60030865300791 + 0.301253887245413Yt[t] -0.04849535655044t + e[t]







Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)-6.600308653007914.178311-1.57970.115070.057535
Yt0.3012538872454130.01394121.608500
t-0.048495356550440.006567-7.385100

\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) & -6.60030865300791 & 4.178311 & -1.5797 & 0.11507 & 0.057535 \tabularnewline
Yt & 0.301253887245413 & 0.013941 & 21.6085 & 0 & 0 \tabularnewline
t & -0.04849535655044 & 0.006567 & -7.3851 & 0 & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=144181&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]-6.60030865300791[/C][C]4.178311[/C][C]-1.5797[/C][C]0.11507[/C][C]0.057535[/C][/ROW]
[ROW][C]Yt[/C][C]0.301253887245413[/C][C]0.013941[/C][C]21.6085[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]t[/C][C]-0.04849535655044[/C][C]0.006567[/C][C]-7.3851[/C][C]0[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=144181&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=144181&T=2

As an alternative you can also use a 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)-6.600308653007914.178311-1.57970.115070.057535
Yt0.3012538872454130.01394121.608500
t-0.048495356550440.006567-7.385100







Multiple Linear Regression - Regression Statistics
Multiple R0.753469402049493
R-squared0.56771613982482
Adjusted R-squared0.565294381504511
F-TEST (value)234.42311937731
F-TEST (DF numerator)2
F-TEST (DF denominator)357
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation12.4292065349432
Sum Squared Residuals55151.2075065138

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.753469402049493 \tabularnewline
R-squared & 0.56771613982482 \tabularnewline
Adjusted R-squared & 0.565294381504511 \tabularnewline
F-TEST (value) & 234.42311937731 \tabularnewline
F-TEST (DF numerator) & 2 \tabularnewline
F-TEST (DF denominator) & 357 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 12.4292065349432 \tabularnewline
Sum Squared Residuals & 55151.2075065138 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=144181&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.753469402049493[/C][/ROW]
[ROW][C]R-squared[/C][C]0.56771613982482[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.565294381504511[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]234.42311937731[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]2[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]357[/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]12.4292065349432[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]55151.2075065138[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=144181&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=144181&T=3

As an alternative you can also use a QR Code:  

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

Multiple Linear Regression - Regression Statistics
Multiple R0.753469402049493
R-squared0.56771613982482
Adjusted R-squared0.565294381504511
F-TEST (value)234.42311937731
F-TEST (DF numerator)2
F-TEST (DF denominator)357
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation12.4292065349432
Sum Squared Residuals55151.2075065138







Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
187.2870.170937238021817.1090627619782
287.2877.71403984005589.56596015994421
387.0983.600246062243.48975393776001
486.9295.3910284744343-8.47102847443425
587.59105.886419171473-18.2964191714733
690.72111.652123838759-20.9321238387593
790.69110.308236767054-19.6182367670536
890.3108.000337256163-17.7003372561625
989.55105.993691632517-16.4436916325169
1088.94104.077422175045-15.1374221750449
1188.41100.534381726448-12.1243817264477
1287.8298.8892407674966-11.0692407674966
1387.0797.1537236423718-10.0837236423718
1486.8296.0207142917379-9.20071429173788
1586.495.1889588283494-8.78895882834937
1686.0291.525416824854-5.50541682485399
1785.6689.8501504771783-4.19015047717831
1885.3287.2108716903173-1.89087169031734
198585.5356053426417-0.535605342641653
2084.6780.99842706613463.67157293386543
2183.9478.41939905672275.52060094327732
2282.8377.04538659629245.78461340370759
2381.9576.72576274122115.2242372587789
2481.1976.22538655380264.96461344619745
2580.4874.88149948209685.59850051790318
2678.8673.59786318784025.26213681215981
2769.4771.4405906205719-1.97059062057186
2868.7770.3377066586625-1.56770665866248
2970.0669.71682891634580.343171083654241
3073.9571.08422682984882.86577317015125
3175.877.6633169926974-1.8633169926974
3277.7985.6281750368749-7.83817503687493
3381.5788.833221662575-7.26322166257496
3483.0790.260870353527-7.19087035352703
3584.3491.5077667121319-7.16776671213186
3685.192.0617791300723-6.96177913007225
3785.2588.4283625153014-3.17836251530139
3884.2690.0668889273253-5.80688892732526
3983.6387.9096163600569-4.27961636005694
4086.4486.26447540110580.175524598894189
4185.386.8184878190462-1.5184878190462
4284.186.0771085218313-1.97710852183131
4383.3688.1072649872742-4.74726498727422
4482.4887.124882580263-4.64488258026299
4581.5883.762594464013-2.18259446401302
4680.4781.9367011727146-1.46670117271465
4779.3477.73090217217751.60909782782249
4882.1374.7301187206227.39988127937797
4981.6973.68748553616178.00251446383828
5080.768.939429538582911.7605704614171
5179.8867.234037802182712.6459621978173
5279.1666.492658504967712.6673414950322
5378.3865.660903041579212.7190969584208
5477.4265.943786960998811.4762130390012
5576.4764.871028387813911.5989716121861
5675.4664.340526811670811.1194731883292
5774.4864.020902956599510.4590970434005
5878.2764.092909154947214.1770908450528
5980.763.080401359211517.6195986407885
6079.9165.743190987869714.1668090121303
6178.7565.152438634277613.5975613657224
6277.7868.53823759232489.24176240767519
6381.1468.821121511744312.3188784882557
6481.0868.863002321367512.2169976786325
6580.0368.965133908439811.0648660915602
6678.9168.374381554847610.5356184451524
6778.0167.452249925285510.5577500747145
6876.967.79538462215419.10461537784595
6975.9767.325133823468.64486617653995
7081.9366.583754526245115.3462454737549
7180.2766.264130671173814.0058693288261
7278.6766.366262258246112.3037377417539
7377.4266.829898510012910.5901014899871
7476.1667.26340937305518.8965906269449
7574.767.27516479395377.42483520604627
7676.3965.991528499697110.3984715003029
7776.0465.822531588248510.2174684117515
7874.6565.53303312190179.11696687809828
7973.2965.09290771193228.19709228806776
8071.7965.49629318624996.29370681375008
8174.3964.78503927775969.60496072224042
8274.9165.03779780845469.87220219154544
8374.5465.71231178129318.8276882187069
8473.0865.00105787280288.07894212719724
8572.7566.27807962013216.47192037986787
8671.3267.88648064343153.43351935656852
8770.3867.17522673494113.20477326505889
8870.3567.42798526563612.92201473436391
8970.0167.77111996250472.23888003749533
9069.3668.77701321131320.582986788686815
9167.7769.4515271841517-1.68152718415175
9269.2669.19215410652950.0678458934705032
9369.869.53528880339810.264711196601896
9468.3869.7579219453685-1.37792194536855
9567.6269.3780473128481-1.75804731284814
9668.3969.6308058435431-1.24080584354311
9766.9569.5823104869927-2.63231048699267
9865.2170.1363229049331-4.92632290493307
9966.6470.2083291032808-3.56832910328078
10063.4569.918830636934-6.46883063693402
10160.6669.6293321705872-8.96933217058725
10262.3469.7314637576595-7.39146375765951
10360.3269.7733445672827-9.4533445672827
10458.6468.1583289970561-9.5183289970561
10560.4667.7483289758112-7.28832897581117
10658.5968.0312128952307-9.44121289523069
10761.8767.6513382627103-5.7813382627103
10861.8565.2530625856456-3.40306258564564
10967.4471.3200211401771-3.88002114017707
11077.0696.5467269235168-19.4867269235167
11191.74102.643810866773-10.9038108667727
11293.15100.546789076953-7.39678907695346
11394.1599.3234035601459-5.17340356014592
11493.1198.3108957644102-5.20089576441018
11591.5196.0632470309682-4.55324703096821
11689.9691.9478241966047-1.98782419660472
11788.1685.99475265004422.16524734995582
11886.9885.43412568517651.54587431482347
11988.0386.47014432270961.55985567729041
12086.2486.2408966338119-0.000896633811902368
12184.6585.2585142268007-0.608514226800665
12283.2382.83011316101150.399886838988525
12381.781.09459603588670.605403964113281
12480.2578.21431413922942.03568586077059
12578.875.21353068767393.58646931232607
12677.5174.77340527770442.73659472229556
12776.273.82114825941782.37885174058224
12875.0470.85049019658684.18950980341318
1297471.97688500029352.02311499970649
13075.4973.85641452211371.63358547788629
13177.1470.19287251861836.94712748138169
13276.1569.21049011160716.93950988839292
13376.2772.20465901623534.06534098376468
13478.1972.24653982585855.94346017414149
13576.4970.23989420221296.25010579778711
13677.3172.51105377745214.79894622254788
13776.6571.92030142385994.72969857614007
13874.9971.41992523644143.57007476355862
13973.5173.23920398081250.270796019187518
14072.0771.89531690910680.174683090893205
14170.5972.1179500510772-1.52795005107721
14271.9672.5213355253949-0.561335525394897
14376.2973.58747955165252.70252044834753
14474.8674.53312202301190.3268779769881
14574.9375.6595168267186-0.729516826718554
14671.978.2620556779277-6.36205567792775
14771.0177.8219302679583-6.81193026795827
14877.4780.062964454473-2.59296445447298
14975.7881.4604877567005-5.68048775670052
15076.681.5324939550482-4.93249395504825
15176.0783.2312711445212-7.1612711445212
15274.5781.5560047968455-6.98600479684554
15373.0279.3083560634036-6.28835606340358
15472.6577.4523373833807-4.80233738338066
15573.1673.3369145490172-0.176914549017158
15671.5374.3126824091011-2.78268240910111
15769.7873.6616792780599-3.88167927805984
15867.9875.0592025802874-7.07920258028739
15969.9672.7814284581209-2.82142845812091
16072.1672.5521807692232-0.392180769223213
16170.4774.1003310150735-3.63033101507346
16268.8675.2267258187801-6.36672581878012
16367.3777.4978853940194-10.1278853940194
16465.8776.6360045419063-10.7660045419063
16572.1676.5272584079068-4.36725840790679
16671.3476.6293899949791-5.28938999497905
16769.9374.0202365968426-4.0902365968426
16868.4473.851239685394-5.41123968539401
16967.1673.9232458837417-6.76324588374173
17066.0174.6580106340294-8.64801063402936
17167.2572.2898603456892-5.03986034568923
17270.9173.145126650875-2.23512665087503
17369.7571.7409888017202-1.99098880172024
17468.5971.3008633917508-2.71086339175077
17567.4869.4147193230033-1.93471932300331
17666.3166.926067479765-0.616067479765019
17764.8165.9135596840293-1.10355968402926
17866.5866.28681976962240.293180230377586
17965.9765.24418658516210.725813414837892
18064.763.74967256983370.95032743016632
18164.764.9965689284385-0.296568928438519
18260.9465.5505813463789-4.61058134637891
18359.0863.7849388325296-4.70493883252962
18458.4263.1640610902129-4.74406109021288
18557.7764.5615843924404-6.79158439244043
18657.1163.458700430531-6.34870043053104
18753.3164.2235905695432-10.9135905695432
18849.9663.0002050527357-13.0402050527357
18949.460.6621801531201-11.2621801531201
19048.8459.2580423039653-10.4180423039653
19148.356.1668826862362-7.86688268623619
19247.7455.3050018341231-7.56500183412314
19347.2454.8950018128782-7.65500181287819
19446.7657.8590453287819-11.0990453287819
19546.2958.1118038594769-11.8218038594769
19648.958.5151893337945-9.61518933379454
19749.2359.5813333600521-10.3513333600521
19848.5360.105220389268-11.575220389268
19948.0360.5086058635857-12.4786058635856
20054.3459.0140918482572-4.67409184825723
20153.7958.754718770635-4.964718770635
20253.2456.3564430935703-3.11644309357034
20352.9656.8502047340616-3.89020473406165
20452.1758.2176026475646-6.04760264756464
20551.759.6753767272413-7.97537672724127
20658.5559.5967559819663-1.04675598196629
20778.259.126505183272319.0734948167277
20877.0359.108135215446417.9218647845536
20976.1959.632022244662216.5579777553378
21077.1561.481426377757915.6685736222421
21175.8783.8160948435416-7.94609484354159
21295.47118.080417244244-22.6104172442436
213109.67117.369163335753-7.69916333575329
214112.28117.079664869407-4.79966486940652
215112.01117.995181952041-5.98518195204139
216107.93114.934147723037-7.00414772303682
217105.96115.367658586079-9.40765858607906
218105.06110.378599478704-5.31859947870383
219102.98106.534305142861-3.5543051428612
220102.2105.762800456922-3.56280045692177
221105.23105.2021734920540.027826507945873
222101.85104.912675025707-3.06267502570736
22399.89103.900167229972-4.0101672299716
22496.23104.57468120281-8.34468120281016
22594.76102.86928946641-8.10928946640994
22691.5198.8743681869446-7.36436818694459
22791.6397.2894780054425-5.65947800544255
22891.5495.3732085479705-3.83320854797055
22985.2390.0527701646254-4.82277016462539
23087.8390.395904861494-2.565904861494
23187.3889.1423939559619-1.76239395596191
23284.4488.401014658747-3.96101465874702
23385.1985.8521120380596-0.662112038059649
23484.0385.622864349162-1.59286434916197
23586.7383.82709644658812.90290355341187
236102.5284.079854977283118.4401450227169
237104.4582.314212463433822.1357875365662
238106.9882.597096382853324.3829036171467
239107.0280.710952314105926.3090476858941
24099.2681.385466286944417.8745337130556
24194.4581.126093209322213.3239067906778
242113.4481.559604072364431.8803959276356
243157.3387.41568490582469.914315094176
244147.3898.875088042048448.5049119579516
245171.89105.30355126127466.5864487387257
246171.95114.86505490785357.0849450921475
247132.71120.8416372962111.8683627037897
248126.02122.0282828773663.99171712263391
249121.18120.413267307140.766732692860499
250115.45113.5865594875671.86344051243271
251110.48110.856904534533-0.376904534532676
252117.85106.53060397909711.3193960209026
253117.63102.38505575600915.2449442439907
254124.65100.77004018578323.8799598142173
255109.59102.5290681527057.06093184729523
256111.27100.25129403053811.0187059694617
25799.7897.76264218732.0173578127
25898.2194.94261106809183.26738893190822
25999.294.44223488067324.75776511932679
26097.9792.37533847957855.59466152042151
26189.5589.7963104701666-0.246310470166598
26287.9186.22314463284481.68685536715516
26393.3485.5420161130797.79798388692098
26494.4284.409006762445110.0109932375549
26593.284.02913212992479.1708678700753
26690.2983.76975905230256.52024094769753
26791.4685.167282354536.29271764546997
26889.9884.81753311073425.16246688926583
26988.3585.64267402719542.70732597280457
27088.4183.36489990502895.04510009497106
27182.4483.2862791597539-0.846279159753948
27279.8983.4787869129998-3.58878691299984
27375.6982.3759029510905-6.68590295109046
27475.6685.0085671910242-9.34856719102419
27584.580.59189046941533.90810953058474
27696.7380.844649000110215.8853509998898
27787.4886.61035366739630.869646332603747
27882.3990.689036566108-8.29903656610796
27983.4889.3150241056777-5.83502410567771
28079.3187.7903847016247-8.48038470162474
28178.1686.1452437426736-7.98524374267364
28272.7783.0842095136691-10.3142095136691
28372.4583.4875949879867-11.0375949879867
28468.4683.3788488539872-14.9188488539872
28567.6280.1671876813599-12.5471876813599
28668.7679.4559337728696-10.6959337728696
28770.0777.1781596507031-7.10815965070312
28868.5576.1957772436919-7.64577724369189
28965.376.5087865518359-11.2087865518359
29058.9676.2494134742137-17.2894134742137
29159.1775.8394134529688-16.6694134529688
29262.3773.4712631646287-11.1012631646287
29366.2872.4888807576174-6.20888075761744
29455.6274.2177833358149-18.5977833358149
29555.2372.3918900445166-17.1618900445166
29655.8570.8069998630145-14.9569998630145
29756.7570.1258713432487-13.3758713432487
29850.8969.7761220994529-18.8861220994529
29953.8868.9142412473398-15.0342412473398
30052.9566.6063417364488-13.6563417364488
30155.0867.2507303205628-12.1707303205628
30253.6167.5034888512578-13.8934888512578
30358.7864.8340846756722-6.05408467567222
30461.8568.3102597998931-6.46025979989311
30555.9169.3161530487016-13.4061530487016
30653.3267.0685043152597-13.7485043152597
30746.4168.1948991189663-21.7848991189663
30844.5766.7003851036379-22.1303851036379
3095066.4108866372911-16.4108866372911
3105064.8862472332382-14.8862472332382
31153.3665.1390057639331-11.7790057639331
31246.2363.7649933035029-17.5349933035029
31350.4568.5666855316036-18.1166855316036
31449.0766.2587860207126-17.1887860207126
31545.8566.481419162683-20.631419162683
31648.4568.6923279604732-20.2423279604731
31749.9666.5049300044803-16.5449300044803
31846.5366.2756823155826-19.7456823155826
31950.5166.6188170124512-16.1088170124512
32047.5865.8774377152363-18.2974377152363
32148.0565.7686915812368-17.7186915812368
32246.8462.8884096845795-16.0484096845795
32347.6761.4541464467001-13.7841464467001
32449.1664.2976884077056-15.1376884077056
32555.5464.7613246594724-9.2213246594724
32655.8263.6283153088385-7.80831530883849
32758.2265.8693494953532-7.64934949535317
32856.1965.0978448094137-8.90784480941375
32957.7762.7296945210736-4.95969452107363
33063.1960.24104267783532.94895732216465
33154.7664.0485970780262-9.28859707802619
33255.7464.0001017214758-8.26010172147575
33362.5463.8311048100271-1.29110481002714
33461.3962.7583462368423-1.3683462368423
33569.660.84207677937038.75792322062969
33679.2360.733330645370818.4966693546292
3378068.909066410620111.0909335893799
33893.6865.576903683094728.1030963169053
339107.6367.607060148537640.0229398514624
340100.1874.517529587356225.6624704126438
34197.377.150193827289920.1498061727101
34290.4579.722607289774510.7273927102255
34380.6477.20383005781173.43616994218829
34480.5881.6138922324934-1.03389223249339
34575.8280.511008270584-4.69100827058401
34685.5980.46251291403365.12748708596644
34789.3575.774707693903813.5752923060962
34889.4273.978939791329915.4410602086701
349104.7373.840068268605930.8899317313941
35095.3272.04430036603223.275699633968
35189.2775.821729377498313.4482706225016
35290.4475.50210552242714.937894477573
35386.9777.17075732317549.79924267682457
35479.9871.36831272023768.61168727976238
35581.2271.19931580878910.020684191211
35687.3572.416086778669314.9339132213307
35783.6471.674707481454411.9652925185456
35882.2270.57182351954511.648176480455
35994.471.125835937485423.2741640625146
360102.1869.721698088330632.4583019116694

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 87.28 & 70.1709372380218 & 17.1090627619782 \tabularnewline
2 & 87.28 & 77.7140398400558 & 9.56596015994421 \tabularnewline
3 & 87.09 & 83.60024606224 & 3.48975393776001 \tabularnewline
4 & 86.92 & 95.3910284744343 & -8.47102847443425 \tabularnewline
5 & 87.59 & 105.886419171473 & -18.2964191714733 \tabularnewline
6 & 90.72 & 111.652123838759 & -20.9321238387593 \tabularnewline
7 & 90.69 & 110.308236767054 & -19.6182367670536 \tabularnewline
8 & 90.3 & 108.000337256163 & -17.7003372561625 \tabularnewline
9 & 89.55 & 105.993691632517 & -16.4436916325169 \tabularnewline
10 & 88.94 & 104.077422175045 & -15.1374221750449 \tabularnewline
11 & 88.41 & 100.534381726448 & -12.1243817264477 \tabularnewline
12 & 87.82 & 98.8892407674966 & -11.0692407674966 \tabularnewline
13 & 87.07 & 97.1537236423718 & -10.0837236423718 \tabularnewline
14 & 86.82 & 96.0207142917379 & -9.20071429173788 \tabularnewline
15 & 86.4 & 95.1889588283494 & -8.78895882834937 \tabularnewline
16 & 86.02 & 91.525416824854 & -5.50541682485399 \tabularnewline
17 & 85.66 & 89.8501504771783 & -4.19015047717831 \tabularnewline
18 & 85.32 & 87.2108716903173 & -1.89087169031734 \tabularnewline
19 & 85 & 85.5356053426417 & -0.535605342641653 \tabularnewline
20 & 84.67 & 80.9984270661346 & 3.67157293386543 \tabularnewline
21 & 83.94 & 78.4193990567227 & 5.52060094327732 \tabularnewline
22 & 82.83 & 77.0453865962924 & 5.78461340370759 \tabularnewline
23 & 81.95 & 76.7257627412211 & 5.2242372587789 \tabularnewline
24 & 81.19 & 76.2253865538026 & 4.96461344619745 \tabularnewline
25 & 80.48 & 74.8814994820968 & 5.59850051790318 \tabularnewline
26 & 78.86 & 73.5978631878402 & 5.26213681215981 \tabularnewline
27 & 69.47 & 71.4405906205719 & -1.97059062057186 \tabularnewline
28 & 68.77 & 70.3377066586625 & -1.56770665866248 \tabularnewline
29 & 70.06 & 69.7168289163458 & 0.343171083654241 \tabularnewline
30 & 73.95 & 71.0842268298488 & 2.86577317015125 \tabularnewline
31 & 75.8 & 77.6633169926974 & -1.8633169926974 \tabularnewline
32 & 77.79 & 85.6281750368749 & -7.83817503687493 \tabularnewline
33 & 81.57 & 88.833221662575 & -7.26322166257496 \tabularnewline
34 & 83.07 & 90.260870353527 & -7.19087035352703 \tabularnewline
35 & 84.34 & 91.5077667121319 & -7.16776671213186 \tabularnewline
36 & 85.1 & 92.0617791300723 & -6.96177913007225 \tabularnewline
37 & 85.25 & 88.4283625153014 & -3.17836251530139 \tabularnewline
38 & 84.26 & 90.0668889273253 & -5.80688892732526 \tabularnewline
39 & 83.63 & 87.9096163600569 & -4.27961636005694 \tabularnewline
40 & 86.44 & 86.2644754011058 & 0.175524598894189 \tabularnewline
41 & 85.3 & 86.8184878190462 & -1.5184878190462 \tabularnewline
42 & 84.1 & 86.0771085218313 & -1.97710852183131 \tabularnewline
43 & 83.36 & 88.1072649872742 & -4.74726498727422 \tabularnewline
44 & 82.48 & 87.124882580263 & -4.64488258026299 \tabularnewline
45 & 81.58 & 83.762594464013 & -2.18259446401302 \tabularnewline
46 & 80.47 & 81.9367011727146 & -1.46670117271465 \tabularnewline
47 & 79.34 & 77.7309021721775 & 1.60909782782249 \tabularnewline
48 & 82.13 & 74.730118720622 & 7.39988127937797 \tabularnewline
49 & 81.69 & 73.6874855361617 & 8.00251446383828 \tabularnewline
50 & 80.7 & 68.9394295385829 & 11.7605704614171 \tabularnewline
51 & 79.88 & 67.2340378021827 & 12.6459621978173 \tabularnewline
52 & 79.16 & 66.4926585049677 & 12.6673414950322 \tabularnewline
53 & 78.38 & 65.6609030415792 & 12.7190969584208 \tabularnewline
54 & 77.42 & 65.9437869609988 & 11.4762130390012 \tabularnewline
55 & 76.47 & 64.8710283878139 & 11.5989716121861 \tabularnewline
56 & 75.46 & 64.3405268116708 & 11.1194731883292 \tabularnewline
57 & 74.48 & 64.0209029565995 & 10.4590970434005 \tabularnewline
58 & 78.27 & 64.0929091549472 & 14.1770908450528 \tabularnewline
59 & 80.7 & 63.0804013592115 & 17.6195986407885 \tabularnewline
60 & 79.91 & 65.7431909878697 & 14.1668090121303 \tabularnewline
61 & 78.75 & 65.1524386342776 & 13.5975613657224 \tabularnewline
62 & 77.78 & 68.5382375923248 & 9.24176240767519 \tabularnewline
63 & 81.14 & 68.8211215117443 & 12.3188784882557 \tabularnewline
64 & 81.08 & 68.8630023213675 & 12.2169976786325 \tabularnewline
65 & 80.03 & 68.9651339084398 & 11.0648660915602 \tabularnewline
66 & 78.91 & 68.3743815548476 & 10.5356184451524 \tabularnewline
67 & 78.01 & 67.4522499252855 & 10.5577500747145 \tabularnewline
68 & 76.9 & 67.7953846221541 & 9.10461537784595 \tabularnewline
69 & 75.97 & 67.32513382346 & 8.64486617653995 \tabularnewline
70 & 81.93 & 66.5837545262451 & 15.3462454737549 \tabularnewline
71 & 80.27 & 66.2641306711738 & 14.0058693288261 \tabularnewline
72 & 78.67 & 66.3662622582461 & 12.3037377417539 \tabularnewline
73 & 77.42 & 66.8298985100129 & 10.5901014899871 \tabularnewline
74 & 76.16 & 67.2634093730551 & 8.8965906269449 \tabularnewline
75 & 74.7 & 67.2751647939537 & 7.42483520604627 \tabularnewline
76 & 76.39 & 65.9915284996971 & 10.3984715003029 \tabularnewline
77 & 76.04 & 65.8225315882485 & 10.2174684117515 \tabularnewline
78 & 74.65 & 65.5330331219017 & 9.11696687809828 \tabularnewline
79 & 73.29 & 65.0929077119322 & 8.19709228806776 \tabularnewline
80 & 71.79 & 65.4962931862499 & 6.29370681375008 \tabularnewline
81 & 74.39 & 64.7850392777596 & 9.60496072224042 \tabularnewline
82 & 74.91 & 65.0377978084546 & 9.87220219154544 \tabularnewline
83 & 74.54 & 65.7123117812931 & 8.8276882187069 \tabularnewline
84 & 73.08 & 65.0010578728028 & 8.07894212719724 \tabularnewline
85 & 72.75 & 66.2780796201321 & 6.47192037986787 \tabularnewline
86 & 71.32 & 67.8864806434315 & 3.43351935656852 \tabularnewline
87 & 70.38 & 67.1752267349411 & 3.20477326505889 \tabularnewline
88 & 70.35 & 67.4279852656361 & 2.92201473436391 \tabularnewline
89 & 70.01 & 67.7711199625047 & 2.23888003749533 \tabularnewline
90 & 69.36 & 68.7770132113132 & 0.582986788686815 \tabularnewline
91 & 67.77 & 69.4515271841517 & -1.68152718415175 \tabularnewline
92 & 69.26 & 69.1921541065295 & 0.0678458934705032 \tabularnewline
93 & 69.8 & 69.5352888033981 & 0.264711196601896 \tabularnewline
94 & 68.38 & 69.7579219453685 & -1.37792194536855 \tabularnewline
95 & 67.62 & 69.3780473128481 & -1.75804731284814 \tabularnewline
96 & 68.39 & 69.6308058435431 & -1.24080584354311 \tabularnewline
97 & 66.95 & 69.5823104869927 & -2.63231048699267 \tabularnewline
98 & 65.21 & 70.1363229049331 & -4.92632290493307 \tabularnewline
99 & 66.64 & 70.2083291032808 & -3.56832910328078 \tabularnewline
100 & 63.45 & 69.918830636934 & -6.46883063693402 \tabularnewline
101 & 60.66 & 69.6293321705872 & -8.96933217058725 \tabularnewline
102 & 62.34 & 69.7314637576595 & -7.39146375765951 \tabularnewline
103 & 60.32 & 69.7733445672827 & -9.4533445672827 \tabularnewline
104 & 58.64 & 68.1583289970561 & -9.5183289970561 \tabularnewline
105 & 60.46 & 67.7483289758112 & -7.28832897581117 \tabularnewline
106 & 58.59 & 68.0312128952307 & -9.44121289523069 \tabularnewline
107 & 61.87 & 67.6513382627103 & -5.7813382627103 \tabularnewline
108 & 61.85 & 65.2530625856456 & -3.40306258564564 \tabularnewline
109 & 67.44 & 71.3200211401771 & -3.88002114017707 \tabularnewline
110 & 77.06 & 96.5467269235168 & -19.4867269235167 \tabularnewline
111 & 91.74 & 102.643810866773 & -10.9038108667727 \tabularnewline
112 & 93.15 & 100.546789076953 & -7.39678907695346 \tabularnewline
113 & 94.15 & 99.3234035601459 & -5.17340356014592 \tabularnewline
114 & 93.11 & 98.3108957644102 & -5.20089576441018 \tabularnewline
115 & 91.51 & 96.0632470309682 & -4.55324703096821 \tabularnewline
116 & 89.96 & 91.9478241966047 & -1.98782419660472 \tabularnewline
117 & 88.16 & 85.9947526500442 & 2.16524734995582 \tabularnewline
118 & 86.98 & 85.4341256851765 & 1.54587431482347 \tabularnewline
119 & 88.03 & 86.4701443227096 & 1.55985567729041 \tabularnewline
120 & 86.24 & 86.2408966338119 & -0.000896633811902368 \tabularnewline
121 & 84.65 & 85.2585142268007 & -0.608514226800665 \tabularnewline
122 & 83.23 & 82.8301131610115 & 0.399886838988525 \tabularnewline
123 & 81.7 & 81.0945960358867 & 0.605403964113281 \tabularnewline
124 & 80.25 & 78.2143141392294 & 2.03568586077059 \tabularnewline
125 & 78.8 & 75.2135306876739 & 3.58646931232607 \tabularnewline
126 & 77.51 & 74.7734052777044 & 2.73659472229556 \tabularnewline
127 & 76.2 & 73.8211482594178 & 2.37885174058224 \tabularnewline
128 & 75.04 & 70.8504901965868 & 4.18950980341318 \tabularnewline
129 & 74 & 71.9768850002935 & 2.02311499970649 \tabularnewline
130 & 75.49 & 73.8564145221137 & 1.63358547788629 \tabularnewline
131 & 77.14 & 70.1928725186183 & 6.94712748138169 \tabularnewline
132 & 76.15 & 69.2104901116071 & 6.93950988839292 \tabularnewline
133 & 76.27 & 72.2046590162353 & 4.06534098376468 \tabularnewline
134 & 78.19 & 72.2465398258585 & 5.94346017414149 \tabularnewline
135 & 76.49 & 70.2398942022129 & 6.25010579778711 \tabularnewline
136 & 77.31 & 72.5110537774521 & 4.79894622254788 \tabularnewline
137 & 76.65 & 71.9203014238599 & 4.72969857614007 \tabularnewline
138 & 74.99 & 71.4199252364414 & 3.57007476355862 \tabularnewline
139 & 73.51 & 73.2392039808125 & 0.270796019187518 \tabularnewline
140 & 72.07 & 71.8953169091068 & 0.174683090893205 \tabularnewline
141 & 70.59 & 72.1179500510772 & -1.52795005107721 \tabularnewline
142 & 71.96 & 72.5213355253949 & -0.561335525394897 \tabularnewline
143 & 76.29 & 73.5874795516525 & 2.70252044834753 \tabularnewline
144 & 74.86 & 74.5331220230119 & 0.3268779769881 \tabularnewline
145 & 74.93 & 75.6595168267186 & -0.729516826718554 \tabularnewline
146 & 71.9 & 78.2620556779277 & -6.36205567792775 \tabularnewline
147 & 71.01 & 77.8219302679583 & -6.81193026795827 \tabularnewline
148 & 77.47 & 80.062964454473 & -2.59296445447298 \tabularnewline
149 & 75.78 & 81.4604877567005 & -5.68048775670052 \tabularnewline
150 & 76.6 & 81.5324939550482 & -4.93249395504825 \tabularnewline
151 & 76.07 & 83.2312711445212 & -7.1612711445212 \tabularnewline
152 & 74.57 & 81.5560047968455 & -6.98600479684554 \tabularnewline
153 & 73.02 & 79.3083560634036 & -6.28835606340358 \tabularnewline
154 & 72.65 & 77.4523373833807 & -4.80233738338066 \tabularnewline
155 & 73.16 & 73.3369145490172 & -0.176914549017158 \tabularnewline
156 & 71.53 & 74.3126824091011 & -2.78268240910111 \tabularnewline
157 & 69.78 & 73.6616792780599 & -3.88167927805984 \tabularnewline
158 & 67.98 & 75.0592025802874 & -7.07920258028739 \tabularnewline
159 & 69.96 & 72.7814284581209 & -2.82142845812091 \tabularnewline
160 & 72.16 & 72.5521807692232 & -0.392180769223213 \tabularnewline
161 & 70.47 & 74.1003310150735 & -3.63033101507346 \tabularnewline
162 & 68.86 & 75.2267258187801 & -6.36672581878012 \tabularnewline
163 & 67.37 & 77.4978853940194 & -10.1278853940194 \tabularnewline
164 & 65.87 & 76.6360045419063 & -10.7660045419063 \tabularnewline
165 & 72.16 & 76.5272584079068 & -4.36725840790679 \tabularnewline
166 & 71.34 & 76.6293899949791 & -5.28938999497905 \tabularnewline
167 & 69.93 & 74.0202365968426 & -4.0902365968426 \tabularnewline
168 & 68.44 & 73.851239685394 & -5.41123968539401 \tabularnewline
169 & 67.16 & 73.9232458837417 & -6.76324588374173 \tabularnewline
170 & 66.01 & 74.6580106340294 & -8.64801063402936 \tabularnewline
171 & 67.25 & 72.2898603456892 & -5.03986034568923 \tabularnewline
172 & 70.91 & 73.145126650875 & -2.23512665087503 \tabularnewline
173 & 69.75 & 71.7409888017202 & -1.99098880172024 \tabularnewline
174 & 68.59 & 71.3008633917508 & -2.71086339175077 \tabularnewline
175 & 67.48 & 69.4147193230033 & -1.93471932300331 \tabularnewline
176 & 66.31 & 66.926067479765 & -0.616067479765019 \tabularnewline
177 & 64.81 & 65.9135596840293 & -1.10355968402926 \tabularnewline
178 & 66.58 & 66.2868197696224 & 0.293180230377586 \tabularnewline
179 & 65.97 & 65.2441865851621 & 0.725813414837892 \tabularnewline
180 & 64.7 & 63.7496725698337 & 0.95032743016632 \tabularnewline
181 & 64.7 & 64.9965689284385 & -0.296568928438519 \tabularnewline
182 & 60.94 & 65.5505813463789 & -4.61058134637891 \tabularnewline
183 & 59.08 & 63.7849388325296 & -4.70493883252962 \tabularnewline
184 & 58.42 & 63.1640610902129 & -4.74406109021288 \tabularnewline
185 & 57.77 & 64.5615843924404 & -6.79158439244043 \tabularnewline
186 & 57.11 & 63.458700430531 & -6.34870043053104 \tabularnewline
187 & 53.31 & 64.2235905695432 & -10.9135905695432 \tabularnewline
188 & 49.96 & 63.0002050527357 & -13.0402050527357 \tabularnewline
189 & 49.4 & 60.6621801531201 & -11.2621801531201 \tabularnewline
190 & 48.84 & 59.2580423039653 & -10.4180423039653 \tabularnewline
191 & 48.3 & 56.1668826862362 & -7.86688268623619 \tabularnewline
192 & 47.74 & 55.3050018341231 & -7.56500183412314 \tabularnewline
193 & 47.24 & 54.8950018128782 & -7.65500181287819 \tabularnewline
194 & 46.76 & 57.8590453287819 & -11.0990453287819 \tabularnewline
195 & 46.29 & 58.1118038594769 & -11.8218038594769 \tabularnewline
196 & 48.9 & 58.5151893337945 & -9.61518933379454 \tabularnewline
197 & 49.23 & 59.5813333600521 & -10.3513333600521 \tabularnewline
198 & 48.53 & 60.105220389268 & -11.575220389268 \tabularnewline
199 & 48.03 & 60.5086058635857 & -12.4786058635856 \tabularnewline
200 & 54.34 & 59.0140918482572 & -4.67409184825723 \tabularnewline
201 & 53.79 & 58.754718770635 & -4.964718770635 \tabularnewline
202 & 53.24 & 56.3564430935703 & -3.11644309357034 \tabularnewline
203 & 52.96 & 56.8502047340616 & -3.89020473406165 \tabularnewline
204 & 52.17 & 58.2176026475646 & -6.04760264756464 \tabularnewline
205 & 51.7 & 59.6753767272413 & -7.97537672724127 \tabularnewline
206 & 58.55 & 59.5967559819663 & -1.04675598196629 \tabularnewline
207 & 78.2 & 59.1265051832723 & 19.0734948167277 \tabularnewline
208 & 77.03 & 59.1081352154464 & 17.9218647845536 \tabularnewline
209 & 76.19 & 59.6320222446622 & 16.5579777553378 \tabularnewline
210 & 77.15 & 61.4814263777579 & 15.6685736222421 \tabularnewline
211 & 75.87 & 83.8160948435416 & -7.94609484354159 \tabularnewline
212 & 95.47 & 118.080417244244 & -22.6104172442436 \tabularnewline
213 & 109.67 & 117.369163335753 & -7.69916333575329 \tabularnewline
214 & 112.28 & 117.079664869407 & -4.79966486940652 \tabularnewline
215 & 112.01 & 117.995181952041 & -5.98518195204139 \tabularnewline
216 & 107.93 & 114.934147723037 & -7.00414772303682 \tabularnewline
217 & 105.96 & 115.367658586079 & -9.40765858607906 \tabularnewline
218 & 105.06 & 110.378599478704 & -5.31859947870383 \tabularnewline
219 & 102.98 & 106.534305142861 & -3.5543051428612 \tabularnewline
220 & 102.2 & 105.762800456922 & -3.56280045692177 \tabularnewline
221 & 105.23 & 105.202173492054 & 0.027826507945873 \tabularnewline
222 & 101.85 & 104.912675025707 & -3.06267502570736 \tabularnewline
223 & 99.89 & 103.900167229972 & -4.0101672299716 \tabularnewline
224 & 96.23 & 104.57468120281 & -8.34468120281016 \tabularnewline
225 & 94.76 & 102.86928946641 & -8.10928946640994 \tabularnewline
226 & 91.51 & 98.8743681869446 & -7.36436818694459 \tabularnewline
227 & 91.63 & 97.2894780054425 & -5.65947800544255 \tabularnewline
228 & 91.54 & 95.3732085479705 & -3.83320854797055 \tabularnewline
229 & 85.23 & 90.0527701646254 & -4.82277016462539 \tabularnewline
230 & 87.83 & 90.395904861494 & -2.565904861494 \tabularnewline
231 & 87.38 & 89.1423939559619 & -1.76239395596191 \tabularnewline
232 & 84.44 & 88.401014658747 & -3.96101465874702 \tabularnewline
233 & 85.19 & 85.8521120380596 & -0.662112038059649 \tabularnewline
234 & 84.03 & 85.622864349162 & -1.59286434916197 \tabularnewline
235 & 86.73 & 83.8270964465881 & 2.90290355341187 \tabularnewline
236 & 102.52 & 84.0798549772831 & 18.4401450227169 \tabularnewline
237 & 104.45 & 82.3142124634338 & 22.1357875365662 \tabularnewline
238 & 106.98 & 82.5970963828533 & 24.3829036171467 \tabularnewline
239 & 107.02 & 80.7109523141059 & 26.3090476858941 \tabularnewline
240 & 99.26 & 81.3854662869444 & 17.8745337130556 \tabularnewline
241 & 94.45 & 81.1260932093222 & 13.3239067906778 \tabularnewline
242 & 113.44 & 81.5596040723644 & 31.8803959276356 \tabularnewline
243 & 157.33 & 87.415684905824 & 69.914315094176 \tabularnewline
244 & 147.38 & 98.8750880420484 & 48.5049119579516 \tabularnewline
245 & 171.89 & 105.303551261274 & 66.5864487387257 \tabularnewline
246 & 171.95 & 114.865054907853 & 57.0849450921475 \tabularnewline
247 & 132.71 & 120.84163729621 & 11.8683627037897 \tabularnewline
248 & 126.02 & 122.028282877366 & 3.99171712263391 \tabularnewline
249 & 121.18 & 120.41326730714 & 0.766732692860499 \tabularnewline
250 & 115.45 & 113.586559487567 & 1.86344051243271 \tabularnewline
251 & 110.48 & 110.856904534533 & -0.376904534532676 \tabularnewline
252 & 117.85 & 106.530603979097 & 11.3193960209026 \tabularnewline
253 & 117.63 & 102.385055756009 & 15.2449442439907 \tabularnewline
254 & 124.65 & 100.770040185783 & 23.8799598142173 \tabularnewline
255 & 109.59 & 102.529068152705 & 7.06093184729523 \tabularnewline
256 & 111.27 & 100.251294030538 & 11.0187059694617 \tabularnewline
257 & 99.78 & 97.7626421873 & 2.0173578127 \tabularnewline
258 & 98.21 & 94.9426110680918 & 3.26738893190822 \tabularnewline
259 & 99.2 & 94.4422348806732 & 4.75776511932679 \tabularnewline
260 & 97.97 & 92.3753384795785 & 5.59466152042151 \tabularnewline
261 & 89.55 & 89.7963104701666 & -0.246310470166598 \tabularnewline
262 & 87.91 & 86.2231446328448 & 1.68685536715516 \tabularnewline
263 & 93.34 & 85.542016113079 & 7.79798388692098 \tabularnewline
264 & 94.42 & 84.4090067624451 & 10.0109932375549 \tabularnewline
265 & 93.2 & 84.0291321299247 & 9.1708678700753 \tabularnewline
266 & 90.29 & 83.7697590523025 & 6.52024094769753 \tabularnewline
267 & 91.46 & 85.16728235453 & 6.29271764546997 \tabularnewline
268 & 89.98 & 84.8175331107342 & 5.16246688926583 \tabularnewline
269 & 88.35 & 85.6426740271954 & 2.70732597280457 \tabularnewline
270 & 88.41 & 83.3648999050289 & 5.04510009497106 \tabularnewline
271 & 82.44 & 83.2862791597539 & -0.846279159753948 \tabularnewline
272 & 79.89 & 83.4787869129998 & -3.58878691299984 \tabularnewline
273 & 75.69 & 82.3759029510905 & -6.68590295109046 \tabularnewline
274 & 75.66 & 85.0085671910242 & -9.34856719102419 \tabularnewline
275 & 84.5 & 80.5918904694153 & 3.90810953058474 \tabularnewline
276 & 96.73 & 80.8446490001102 & 15.8853509998898 \tabularnewline
277 & 87.48 & 86.6103536673963 & 0.869646332603747 \tabularnewline
278 & 82.39 & 90.689036566108 & -8.29903656610796 \tabularnewline
279 & 83.48 & 89.3150241056777 & -5.83502410567771 \tabularnewline
280 & 79.31 & 87.7903847016247 & -8.48038470162474 \tabularnewline
281 & 78.16 & 86.1452437426736 & -7.98524374267364 \tabularnewline
282 & 72.77 & 83.0842095136691 & -10.3142095136691 \tabularnewline
283 & 72.45 & 83.4875949879867 & -11.0375949879867 \tabularnewline
284 & 68.46 & 83.3788488539872 & -14.9188488539872 \tabularnewline
285 & 67.62 & 80.1671876813599 & -12.5471876813599 \tabularnewline
286 & 68.76 & 79.4559337728696 & -10.6959337728696 \tabularnewline
287 & 70.07 & 77.1781596507031 & -7.10815965070312 \tabularnewline
288 & 68.55 & 76.1957772436919 & -7.64577724369189 \tabularnewline
289 & 65.3 & 76.5087865518359 & -11.2087865518359 \tabularnewline
290 & 58.96 & 76.2494134742137 & -17.2894134742137 \tabularnewline
291 & 59.17 & 75.8394134529688 & -16.6694134529688 \tabularnewline
292 & 62.37 & 73.4712631646287 & -11.1012631646287 \tabularnewline
293 & 66.28 & 72.4888807576174 & -6.20888075761744 \tabularnewline
294 & 55.62 & 74.2177833358149 & -18.5977833358149 \tabularnewline
295 & 55.23 & 72.3918900445166 & -17.1618900445166 \tabularnewline
296 & 55.85 & 70.8069998630145 & -14.9569998630145 \tabularnewline
297 & 56.75 & 70.1258713432487 & -13.3758713432487 \tabularnewline
298 & 50.89 & 69.7761220994529 & -18.8861220994529 \tabularnewline
299 & 53.88 & 68.9142412473398 & -15.0342412473398 \tabularnewline
300 & 52.95 & 66.6063417364488 & -13.6563417364488 \tabularnewline
301 & 55.08 & 67.2507303205628 & -12.1707303205628 \tabularnewline
302 & 53.61 & 67.5034888512578 & -13.8934888512578 \tabularnewline
303 & 58.78 & 64.8340846756722 & -6.05408467567222 \tabularnewline
304 & 61.85 & 68.3102597998931 & -6.46025979989311 \tabularnewline
305 & 55.91 & 69.3161530487016 & -13.4061530487016 \tabularnewline
306 & 53.32 & 67.0685043152597 & -13.7485043152597 \tabularnewline
307 & 46.41 & 68.1948991189663 & -21.7848991189663 \tabularnewline
308 & 44.57 & 66.7003851036379 & -22.1303851036379 \tabularnewline
309 & 50 & 66.4108866372911 & -16.4108866372911 \tabularnewline
310 & 50 & 64.8862472332382 & -14.8862472332382 \tabularnewline
311 & 53.36 & 65.1390057639331 & -11.7790057639331 \tabularnewline
312 & 46.23 & 63.7649933035029 & -17.5349933035029 \tabularnewline
313 & 50.45 & 68.5666855316036 & -18.1166855316036 \tabularnewline
314 & 49.07 & 66.2587860207126 & -17.1887860207126 \tabularnewline
315 & 45.85 & 66.481419162683 & -20.631419162683 \tabularnewline
316 & 48.45 & 68.6923279604732 & -20.2423279604731 \tabularnewline
317 & 49.96 & 66.5049300044803 & -16.5449300044803 \tabularnewline
318 & 46.53 & 66.2756823155826 & -19.7456823155826 \tabularnewline
319 & 50.51 & 66.6188170124512 & -16.1088170124512 \tabularnewline
320 & 47.58 & 65.8774377152363 & -18.2974377152363 \tabularnewline
321 & 48.05 & 65.7686915812368 & -17.7186915812368 \tabularnewline
322 & 46.84 & 62.8884096845795 & -16.0484096845795 \tabularnewline
323 & 47.67 & 61.4541464467001 & -13.7841464467001 \tabularnewline
324 & 49.16 & 64.2976884077056 & -15.1376884077056 \tabularnewline
325 & 55.54 & 64.7613246594724 & -9.2213246594724 \tabularnewline
326 & 55.82 & 63.6283153088385 & -7.80831530883849 \tabularnewline
327 & 58.22 & 65.8693494953532 & -7.64934949535317 \tabularnewline
328 & 56.19 & 65.0978448094137 & -8.90784480941375 \tabularnewline
329 & 57.77 & 62.7296945210736 & -4.95969452107363 \tabularnewline
330 & 63.19 & 60.2410426778353 & 2.94895732216465 \tabularnewline
331 & 54.76 & 64.0485970780262 & -9.28859707802619 \tabularnewline
332 & 55.74 & 64.0001017214758 & -8.26010172147575 \tabularnewline
333 & 62.54 & 63.8311048100271 & -1.29110481002714 \tabularnewline
334 & 61.39 & 62.7583462368423 & -1.3683462368423 \tabularnewline
335 & 69.6 & 60.8420767793703 & 8.75792322062969 \tabularnewline
336 & 79.23 & 60.7333306453708 & 18.4966693546292 \tabularnewline
337 & 80 & 68.9090664106201 & 11.0909335893799 \tabularnewline
338 & 93.68 & 65.5769036830947 & 28.1030963169053 \tabularnewline
339 & 107.63 & 67.6070601485376 & 40.0229398514624 \tabularnewline
340 & 100.18 & 74.5175295873562 & 25.6624704126438 \tabularnewline
341 & 97.3 & 77.1501938272899 & 20.1498061727101 \tabularnewline
342 & 90.45 & 79.7226072897745 & 10.7273927102255 \tabularnewline
343 & 80.64 & 77.2038300578117 & 3.43616994218829 \tabularnewline
344 & 80.58 & 81.6138922324934 & -1.03389223249339 \tabularnewline
345 & 75.82 & 80.511008270584 & -4.69100827058401 \tabularnewline
346 & 85.59 & 80.4625129140336 & 5.12748708596644 \tabularnewline
347 & 89.35 & 75.7747076939038 & 13.5752923060962 \tabularnewline
348 & 89.42 & 73.9789397913299 & 15.4410602086701 \tabularnewline
349 & 104.73 & 73.8400682686059 & 30.8899317313941 \tabularnewline
350 & 95.32 & 72.044300366032 & 23.275699633968 \tabularnewline
351 & 89.27 & 75.8217293774983 & 13.4482706225016 \tabularnewline
352 & 90.44 & 75.502105522427 & 14.937894477573 \tabularnewline
353 & 86.97 & 77.1707573231754 & 9.79924267682457 \tabularnewline
354 & 79.98 & 71.3683127202376 & 8.61168727976238 \tabularnewline
355 & 81.22 & 71.199315808789 & 10.020684191211 \tabularnewline
356 & 87.35 & 72.4160867786693 & 14.9339132213307 \tabularnewline
357 & 83.64 & 71.6747074814544 & 11.9652925185456 \tabularnewline
358 & 82.22 & 70.571823519545 & 11.648176480455 \tabularnewline
359 & 94.4 & 71.1258359374854 & 23.2741640625146 \tabularnewline
360 & 102.18 & 69.7216980883306 & 32.4583019116694 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=144181&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]70.1709372380218[/C][C]17.1090627619782[/C][/ROW]
[ROW][C]2[/C][C]87.28[/C][C]77.7140398400558[/C][C]9.56596015994421[/C][/ROW]
[ROW][C]3[/C][C]87.09[/C][C]83.60024606224[/C][C]3.48975393776001[/C][/ROW]
[ROW][C]4[/C][C]86.92[/C][C]95.3910284744343[/C][C]-8.47102847443425[/C][/ROW]
[ROW][C]5[/C][C]87.59[/C][C]105.886419171473[/C][C]-18.2964191714733[/C][/ROW]
[ROW][C]6[/C][C]90.72[/C][C]111.652123838759[/C][C]-20.9321238387593[/C][/ROW]
[ROW][C]7[/C][C]90.69[/C][C]110.308236767054[/C][C]-19.6182367670536[/C][/ROW]
[ROW][C]8[/C][C]90.3[/C][C]108.000337256163[/C][C]-17.7003372561625[/C][/ROW]
[ROW][C]9[/C][C]89.55[/C][C]105.993691632517[/C][C]-16.4436916325169[/C][/ROW]
[ROW][C]10[/C][C]88.94[/C][C]104.077422175045[/C][C]-15.1374221750449[/C][/ROW]
[ROW][C]11[/C][C]88.41[/C][C]100.534381726448[/C][C]-12.1243817264477[/C][/ROW]
[ROW][C]12[/C][C]87.82[/C][C]98.8892407674966[/C][C]-11.0692407674966[/C][/ROW]
[ROW][C]13[/C][C]87.07[/C][C]97.1537236423718[/C][C]-10.0837236423718[/C][/ROW]
[ROW][C]14[/C][C]86.82[/C][C]96.0207142917379[/C][C]-9.20071429173788[/C][/ROW]
[ROW][C]15[/C][C]86.4[/C][C]95.1889588283494[/C][C]-8.78895882834937[/C][/ROW]
[ROW][C]16[/C][C]86.02[/C][C]91.525416824854[/C][C]-5.50541682485399[/C][/ROW]
[ROW][C]17[/C][C]85.66[/C][C]89.8501504771783[/C][C]-4.19015047717831[/C][/ROW]
[ROW][C]18[/C][C]85.32[/C][C]87.2108716903173[/C][C]-1.89087169031734[/C][/ROW]
[ROW][C]19[/C][C]85[/C][C]85.5356053426417[/C][C]-0.535605342641653[/C][/ROW]
[ROW][C]20[/C][C]84.67[/C][C]80.9984270661346[/C][C]3.67157293386543[/C][/ROW]
[ROW][C]21[/C][C]83.94[/C][C]78.4193990567227[/C][C]5.52060094327732[/C][/ROW]
[ROW][C]22[/C][C]82.83[/C][C]77.0453865962924[/C][C]5.78461340370759[/C][/ROW]
[ROW][C]23[/C][C]81.95[/C][C]76.7257627412211[/C][C]5.2242372587789[/C][/ROW]
[ROW][C]24[/C][C]81.19[/C][C]76.2253865538026[/C][C]4.96461344619745[/C][/ROW]
[ROW][C]25[/C][C]80.48[/C][C]74.8814994820968[/C][C]5.59850051790318[/C][/ROW]
[ROW][C]26[/C][C]78.86[/C][C]73.5978631878402[/C][C]5.26213681215981[/C][/ROW]
[ROW][C]27[/C][C]69.47[/C][C]71.4405906205719[/C][C]-1.97059062057186[/C][/ROW]
[ROW][C]28[/C][C]68.77[/C][C]70.3377066586625[/C][C]-1.56770665866248[/C][/ROW]
[ROW][C]29[/C][C]70.06[/C][C]69.7168289163458[/C][C]0.343171083654241[/C][/ROW]
[ROW][C]30[/C][C]73.95[/C][C]71.0842268298488[/C][C]2.86577317015125[/C][/ROW]
[ROW][C]31[/C][C]75.8[/C][C]77.6633169926974[/C][C]-1.8633169926974[/C][/ROW]
[ROW][C]32[/C][C]77.79[/C][C]85.6281750368749[/C][C]-7.83817503687493[/C][/ROW]
[ROW][C]33[/C][C]81.57[/C][C]88.833221662575[/C][C]-7.26322166257496[/C][/ROW]
[ROW][C]34[/C][C]83.07[/C][C]90.260870353527[/C][C]-7.19087035352703[/C][/ROW]
[ROW][C]35[/C][C]84.34[/C][C]91.5077667121319[/C][C]-7.16776671213186[/C][/ROW]
[ROW][C]36[/C][C]85.1[/C][C]92.0617791300723[/C][C]-6.96177913007225[/C][/ROW]
[ROW][C]37[/C][C]85.25[/C][C]88.4283625153014[/C][C]-3.17836251530139[/C][/ROW]
[ROW][C]38[/C][C]84.26[/C][C]90.0668889273253[/C][C]-5.80688892732526[/C][/ROW]
[ROW][C]39[/C][C]83.63[/C][C]87.9096163600569[/C][C]-4.27961636005694[/C][/ROW]
[ROW][C]40[/C][C]86.44[/C][C]86.2644754011058[/C][C]0.175524598894189[/C][/ROW]
[ROW][C]41[/C][C]85.3[/C][C]86.8184878190462[/C][C]-1.5184878190462[/C][/ROW]
[ROW][C]42[/C][C]84.1[/C][C]86.0771085218313[/C][C]-1.97710852183131[/C][/ROW]
[ROW][C]43[/C][C]83.36[/C][C]88.1072649872742[/C][C]-4.74726498727422[/C][/ROW]
[ROW][C]44[/C][C]82.48[/C][C]87.124882580263[/C][C]-4.64488258026299[/C][/ROW]
[ROW][C]45[/C][C]81.58[/C][C]83.762594464013[/C][C]-2.18259446401302[/C][/ROW]
[ROW][C]46[/C][C]80.47[/C][C]81.9367011727146[/C][C]-1.46670117271465[/C][/ROW]
[ROW][C]47[/C][C]79.34[/C][C]77.7309021721775[/C][C]1.60909782782249[/C][/ROW]
[ROW][C]48[/C][C]82.13[/C][C]74.730118720622[/C][C]7.39988127937797[/C][/ROW]
[ROW][C]49[/C][C]81.69[/C][C]73.6874855361617[/C][C]8.00251446383828[/C][/ROW]
[ROW][C]50[/C][C]80.7[/C][C]68.9394295385829[/C][C]11.7605704614171[/C][/ROW]
[ROW][C]51[/C][C]79.88[/C][C]67.2340378021827[/C][C]12.6459621978173[/C][/ROW]
[ROW][C]52[/C][C]79.16[/C][C]66.4926585049677[/C][C]12.6673414950322[/C][/ROW]
[ROW][C]53[/C][C]78.38[/C][C]65.6609030415792[/C][C]12.7190969584208[/C][/ROW]
[ROW][C]54[/C][C]77.42[/C][C]65.9437869609988[/C][C]11.4762130390012[/C][/ROW]
[ROW][C]55[/C][C]76.47[/C][C]64.8710283878139[/C][C]11.5989716121861[/C][/ROW]
[ROW][C]56[/C][C]75.46[/C][C]64.3405268116708[/C][C]11.1194731883292[/C][/ROW]
[ROW][C]57[/C][C]74.48[/C][C]64.0209029565995[/C][C]10.4590970434005[/C][/ROW]
[ROW][C]58[/C][C]78.27[/C][C]64.0929091549472[/C][C]14.1770908450528[/C][/ROW]
[ROW][C]59[/C][C]80.7[/C][C]63.0804013592115[/C][C]17.6195986407885[/C][/ROW]
[ROW][C]60[/C][C]79.91[/C][C]65.7431909878697[/C][C]14.1668090121303[/C][/ROW]
[ROW][C]61[/C][C]78.75[/C][C]65.1524386342776[/C][C]13.5975613657224[/C][/ROW]
[ROW][C]62[/C][C]77.78[/C][C]68.5382375923248[/C][C]9.24176240767519[/C][/ROW]
[ROW][C]63[/C][C]81.14[/C][C]68.8211215117443[/C][C]12.3188784882557[/C][/ROW]
[ROW][C]64[/C][C]81.08[/C][C]68.8630023213675[/C][C]12.2169976786325[/C][/ROW]
[ROW][C]65[/C][C]80.03[/C][C]68.9651339084398[/C][C]11.0648660915602[/C][/ROW]
[ROW][C]66[/C][C]78.91[/C][C]68.3743815548476[/C][C]10.5356184451524[/C][/ROW]
[ROW][C]67[/C][C]78.01[/C][C]67.4522499252855[/C][C]10.5577500747145[/C][/ROW]
[ROW][C]68[/C][C]76.9[/C][C]67.7953846221541[/C][C]9.10461537784595[/C][/ROW]
[ROW][C]69[/C][C]75.97[/C][C]67.32513382346[/C][C]8.64486617653995[/C][/ROW]
[ROW][C]70[/C][C]81.93[/C][C]66.5837545262451[/C][C]15.3462454737549[/C][/ROW]
[ROW][C]71[/C][C]80.27[/C][C]66.2641306711738[/C][C]14.0058693288261[/C][/ROW]
[ROW][C]72[/C][C]78.67[/C][C]66.3662622582461[/C][C]12.3037377417539[/C][/ROW]
[ROW][C]73[/C][C]77.42[/C][C]66.8298985100129[/C][C]10.5901014899871[/C][/ROW]
[ROW][C]74[/C][C]76.16[/C][C]67.2634093730551[/C][C]8.8965906269449[/C][/ROW]
[ROW][C]75[/C][C]74.7[/C][C]67.2751647939537[/C][C]7.42483520604627[/C][/ROW]
[ROW][C]76[/C][C]76.39[/C][C]65.9915284996971[/C][C]10.3984715003029[/C][/ROW]
[ROW][C]77[/C][C]76.04[/C][C]65.8225315882485[/C][C]10.2174684117515[/C][/ROW]
[ROW][C]78[/C][C]74.65[/C][C]65.5330331219017[/C][C]9.11696687809828[/C][/ROW]
[ROW][C]79[/C][C]73.29[/C][C]65.0929077119322[/C][C]8.19709228806776[/C][/ROW]
[ROW][C]80[/C][C]71.79[/C][C]65.4962931862499[/C][C]6.29370681375008[/C][/ROW]
[ROW][C]81[/C][C]74.39[/C][C]64.7850392777596[/C][C]9.60496072224042[/C][/ROW]
[ROW][C]82[/C][C]74.91[/C][C]65.0377978084546[/C][C]9.87220219154544[/C][/ROW]
[ROW][C]83[/C][C]74.54[/C][C]65.7123117812931[/C][C]8.8276882187069[/C][/ROW]
[ROW][C]84[/C][C]73.08[/C][C]65.0010578728028[/C][C]8.07894212719724[/C][/ROW]
[ROW][C]85[/C][C]72.75[/C][C]66.2780796201321[/C][C]6.47192037986787[/C][/ROW]
[ROW][C]86[/C][C]71.32[/C][C]67.8864806434315[/C][C]3.43351935656852[/C][/ROW]
[ROW][C]87[/C][C]70.38[/C][C]67.1752267349411[/C][C]3.20477326505889[/C][/ROW]
[ROW][C]88[/C][C]70.35[/C][C]67.4279852656361[/C][C]2.92201473436391[/C][/ROW]
[ROW][C]89[/C][C]70.01[/C][C]67.7711199625047[/C][C]2.23888003749533[/C][/ROW]
[ROW][C]90[/C][C]69.36[/C][C]68.7770132113132[/C][C]0.582986788686815[/C][/ROW]
[ROW][C]91[/C][C]67.77[/C][C]69.4515271841517[/C][C]-1.68152718415175[/C][/ROW]
[ROW][C]92[/C][C]69.26[/C][C]69.1921541065295[/C][C]0.0678458934705032[/C][/ROW]
[ROW][C]93[/C][C]69.8[/C][C]69.5352888033981[/C][C]0.264711196601896[/C][/ROW]
[ROW][C]94[/C][C]68.38[/C][C]69.7579219453685[/C][C]-1.37792194536855[/C][/ROW]
[ROW][C]95[/C][C]67.62[/C][C]69.3780473128481[/C][C]-1.75804731284814[/C][/ROW]
[ROW][C]96[/C][C]68.39[/C][C]69.6308058435431[/C][C]-1.24080584354311[/C][/ROW]
[ROW][C]97[/C][C]66.95[/C][C]69.5823104869927[/C][C]-2.63231048699267[/C][/ROW]
[ROW][C]98[/C][C]65.21[/C][C]70.1363229049331[/C][C]-4.92632290493307[/C][/ROW]
[ROW][C]99[/C][C]66.64[/C][C]70.2083291032808[/C][C]-3.56832910328078[/C][/ROW]
[ROW][C]100[/C][C]63.45[/C][C]69.918830636934[/C][C]-6.46883063693402[/C][/ROW]
[ROW][C]101[/C][C]60.66[/C][C]69.6293321705872[/C][C]-8.96933217058725[/C][/ROW]
[ROW][C]102[/C][C]62.34[/C][C]69.7314637576595[/C][C]-7.39146375765951[/C][/ROW]
[ROW][C]103[/C][C]60.32[/C][C]69.7733445672827[/C][C]-9.4533445672827[/C][/ROW]
[ROW][C]104[/C][C]58.64[/C][C]68.1583289970561[/C][C]-9.5183289970561[/C][/ROW]
[ROW][C]105[/C][C]60.46[/C][C]67.7483289758112[/C][C]-7.28832897581117[/C][/ROW]
[ROW][C]106[/C][C]58.59[/C][C]68.0312128952307[/C][C]-9.44121289523069[/C][/ROW]
[ROW][C]107[/C][C]61.87[/C][C]67.6513382627103[/C][C]-5.7813382627103[/C][/ROW]
[ROW][C]108[/C][C]61.85[/C][C]65.2530625856456[/C][C]-3.40306258564564[/C][/ROW]
[ROW][C]109[/C][C]67.44[/C][C]71.3200211401771[/C][C]-3.88002114017707[/C][/ROW]
[ROW][C]110[/C][C]77.06[/C][C]96.5467269235168[/C][C]-19.4867269235167[/C][/ROW]
[ROW][C]111[/C][C]91.74[/C][C]102.643810866773[/C][C]-10.9038108667727[/C][/ROW]
[ROW][C]112[/C][C]93.15[/C][C]100.546789076953[/C][C]-7.39678907695346[/C][/ROW]
[ROW][C]113[/C][C]94.15[/C][C]99.3234035601459[/C][C]-5.17340356014592[/C][/ROW]
[ROW][C]114[/C][C]93.11[/C][C]98.3108957644102[/C][C]-5.20089576441018[/C][/ROW]
[ROW][C]115[/C][C]91.51[/C][C]96.0632470309682[/C][C]-4.55324703096821[/C][/ROW]
[ROW][C]116[/C][C]89.96[/C][C]91.9478241966047[/C][C]-1.98782419660472[/C][/ROW]
[ROW][C]117[/C][C]88.16[/C][C]85.9947526500442[/C][C]2.16524734995582[/C][/ROW]
[ROW][C]118[/C][C]86.98[/C][C]85.4341256851765[/C][C]1.54587431482347[/C][/ROW]
[ROW][C]119[/C][C]88.03[/C][C]86.4701443227096[/C][C]1.55985567729041[/C][/ROW]
[ROW][C]120[/C][C]86.24[/C][C]86.2408966338119[/C][C]-0.000896633811902368[/C][/ROW]
[ROW][C]121[/C][C]84.65[/C][C]85.2585142268007[/C][C]-0.608514226800665[/C][/ROW]
[ROW][C]122[/C][C]83.23[/C][C]82.8301131610115[/C][C]0.399886838988525[/C][/ROW]
[ROW][C]123[/C][C]81.7[/C][C]81.0945960358867[/C][C]0.605403964113281[/C][/ROW]
[ROW][C]124[/C][C]80.25[/C][C]78.2143141392294[/C][C]2.03568586077059[/C][/ROW]
[ROW][C]125[/C][C]78.8[/C][C]75.2135306876739[/C][C]3.58646931232607[/C][/ROW]
[ROW][C]126[/C][C]77.51[/C][C]74.7734052777044[/C][C]2.73659472229556[/C][/ROW]
[ROW][C]127[/C][C]76.2[/C][C]73.8211482594178[/C][C]2.37885174058224[/C][/ROW]
[ROW][C]128[/C][C]75.04[/C][C]70.8504901965868[/C][C]4.18950980341318[/C][/ROW]
[ROW][C]129[/C][C]74[/C][C]71.9768850002935[/C][C]2.02311499970649[/C][/ROW]
[ROW][C]130[/C][C]75.49[/C][C]73.8564145221137[/C][C]1.63358547788629[/C][/ROW]
[ROW][C]131[/C][C]77.14[/C][C]70.1928725186183[/C][C]6.94712748138169[/C][/ROW]
[ROW][C]132[/C][C]76.15[/C][C]69.2104901116071[/C][C]6.93950988839292[/C][/ROW]
[ROW][C]133[/C][C]76.27[/C][C]72.2046590162353[/C][C]4.06534098376468[/C][/ROW]
[ROW][C]134[/C][C]78.19[/C][C]72.2465398258585[/C][C]5.94346017414149[/C][/ROW]
[ROW][C]135[/C][C]76.49[/C][C]70.2398942022129[/C][C]6.25010579778711[/C][/ROW]
[ROW][C]136[/C][C]77.31[/C][C]72.5110537774521[/C][C]4.79894622254788[/C][/ROW]
[ROW][C]137[/C][C]76.65[/C][C]71.9203014238599[/C][C]4.72969857614007[/C][/ROW]
[ROW][C]138[/C][C]74.99[/C][C]71.4199252364414[/C][C]3.57007476355862[/C][/ROW]
[ROW][C]139[/C][C]73.51[/C][C]73.2392039808125[/C][C]0.270796019187518[/C][/ROW]
[ROW][C]140[/C][C]72.07[/C][C]71.8953169091068[/C][C]0.174683090893205[/C][/ROW]
[ROW][C]141[/C][C]70.59[/C][C]72.1179500510772[/C][C]-1.52795005107721[/C][/ROW]
[ROW][C]142[/C][C]71.96[/C][C]72.5213355253949[/C][C]-0.561335525394897[/C][/ROW]
[ROW][C]143[/C][C]76.29[/C][C]73.5874795516525[/C][C]2.70252044834753[/C][/ROW]
[ROW][C]144[/C][C]74.86[/C][C]74.5331220230119[/C][C]0.3268779769881[/C][/ROW]
[ROW][C]145[/C][C]74.93[/C][C]75.6595168267186[/C][C]-0.729516826718554[/C][/ROW]
[ROW][C]146[/C][C]71.9[/C][C]78.2620556779277[/C][C]-6.36205567792775[/C][/ROW]
[ROW][C]147[/C][C]71.01[/C][C]77.8219302679583[/C][C]-6.81193026795827[/C][/ROW]
[ROW][C]148[/C][C]77.47[/C][C]80.062964454473[/C][C]-2.59296445447298[/C][/ROW]
[ROW][C]149[/C][C]75.78[/C][C]81.4604877567005[/C][C]-5.68048775670052[/C][/ROW]
[ROW][C]150[/C][C]76.6[/C][C]81.5324939550482[/C][C]-4.93249395504825[/C][/ROW]
[ROW][C]151[/C][C]76.07[/C][C]83.2312711445212[/C][C]-7.1612711445212[/C][/ROW]
[ROW][C]152[/C][C]74.57[/C][C]81.5560047968455[/C][C]-6.98600479684554[/C][/ROW]
[ROW][C]153[/C][C]73.02[/C][C]79.3083560634036[/C][C]-6.28835606340358[/C][/ROW]
[ROW][C]154[/C][C]72.65[/C][C]77.4523373833807[/C][C]-4.80233738338066[/C][/ROW]
[ROW][C]155[/C][C]73.16[/C][C]73.3369145490172[/C][C]-0.176914549017158[/C][/ROW]
[ROW][C]156[/C][C]71.53[/C][C]74.3126824091011[/C][C]-2.78268240910111[/C][/ROW]
[ROW][C]157[/C][C]69.78[/C][C]73.6616792780599[/C][C]-3.88167927805984[/C][/ROW]
[ROW][C]158[/C][C]67.98[/C][C]75.0592025802874[/C][C]-7.07920258028739[/C][/ROW]
[ROW][C]159[/C][C]69.96[/C][C]72.7814284581209[/C][C]-2.82142845812091[/C][/ROW]
[ROW][C]160[/C][C]72.16[/C][C]72.5521807692232[/C][C]-0.392180769223213[/C][/ROW]
[ROW][C]161[/C][C]70.47[/C][C]74.1003310150735[/C][C]-3.63033101507346[/C][/ROW]
[ROW][C]162[/C][C]68.86[/C][C]75.2267258187801[/C][C]-6.36672581878012[/C][/ROW]
[ROW][C]163[/C][C]67.37[/C][C]77.4978853940194[/C][C]-10.1278853940194[/C][/ROW]
[ROW][C]164[/C][C]65.87[/C][C]76.6360045419063[/C][C]-10.7660045419063[/C][/ROW]
[ROW][C]165[/C][C]72.16[/C][C]76.5272584079068[/C][C]-4.36725840790679[/C][/ROW]
[ROW][C]166[/C][C]71.34[/C][C]76.6293899949791[/C][C]-5.28938999497905[/C][/ROW]
[ROW][C]167[/C][C]69.93[/C][C]74.0202365968426[/C][C]-4.0902365968426[/C][/ROW]
[ROW][C]168[/C][C]68.44[/C][C]73.851239685394[/C][C]-5.41123968539401[/C][/ROW]
[ROW][C]169[/C][C]67.16[/C][C]73.9232458837417[/C][C]-6.76324588374173[/C][/ROW]
[ROW][C]170[/C][C]66.01[/C][C]74.6580106340294[/C][C]-8.64801063402936[/C][/ROW]
[ROW][C]171[/C][C]67.25[/C][C]72.2898603456892[/C][C]-5.03986034568923[/C][/ROW]
[ROW][C]172[/C][C]70.91[/C][C]73.145126650875[/C][C]-2.23512665087503[/C][/ROW]
[ROW][C]173[/C][C]69.75[/C][C]71.7409888017202[/C][C]-1.99098880172024[/C][/ROW]
[ROW][C]174[/C][C]68.59[/C][C]71.3008633917508[/C][C]-2.71086339175077[/C][/ROW]
[ROW][C]175[/C][C]67.48[/C][C]69.4147193230033[/C][C]-1.93471932300331[/C][/ROW]
[ROW][C]176[/C][C]66.31[/C][C]66.926067479765[/C][C]-0.616067479765019[/C][/ROW]
[ROW][C]177[/C][C]64.81[/C][C]65.9135596840293[/C][C]-1.10355968402926[/C][/ROW]
[ROW][C]178[/C][C]66.58[/C][C]66.2868197696224[/C][C]0.293180230377586[/C][/ROW]
[ROW][C]179[/C][C]65.97[/C][C]65.2441865851621[/C][C]0.725813414837892[/C][/ROW]
[ROW][C]180[/C][C]64.7[/C][C]63.7496725698337[/C][C]0.95032743016632[/C][/ROW]
[ROW][C]181[/C][C]64.7[/C][C]64.9965689284385[/C][C]-0.296568928438519[/C][/ROW]
[ROW][C]182[/C][C]60.94[/C][C]65.5505813463789[/C][C]-4.61058134637891[/C][/ROW]
[ROW][C]183[/C][C]59.08[/C][C]63.7849388325296[/C][C]-4.70493883252962[/C][/ROW]
[ROW][C]184[/C][C]58.42[/C][C]63.1640610902129[/C][C]-4.74406109021288[/C][/ROW]
[ROW][C]185[/C][C]57.77[/C][C]64.5615843924404[/C][C]-6.79158439244043[/C][/ROW]
[ROW][C]186[/C][C]57.11[/C][C]63.458700430531[/C][C]-6.34870043053104[/C][/ROW]
[ROW][C]187[/C][C]53.31[/C][C]64.2235905695432[/C][C]-10.9135905695432[/C][/ROW]
[ROW][C]188[/C][C]49.96[/C][C]63.0002050527357[/C][C]-13.0402050527357[/C][/ROW]
[ROW][C]189[/C][C]49.4[/C][C]60.6621801531201[/C][C]-11.2621801531201[/C][/ROW]
[ROW][C]190[/C][C]48.84[/C][C]59.2580423039653[/C][C]-10.4180423039653[/C][/ROW]
[ROW][C]191[/C][C]48.3[/C][C]56.1668826862362[/C][C]-7.86688268623619[/C][/ROW]
[ROW][C]192[/C][C]47.74[/C][C]55.3050018341231[/C][C]-7.56500183412314[/C][/ROW]
[ROW][C]193[/C][C]47.24[/C][C]54.8950018128782[/C][C]-7.65500181287819[/C][/ROW]
[ROW][C]194[/C][C]46.76[/C][C]57.8590453287819[/C][C]-11.0990453287819[/C][/ROW]
[ROW][C]195[/C][C]46.29[/C][C]58.1118038594769[/C][C]-11.8218038594769[/C][/ROW]
[ROW][C]196[/C][C]48.9[/C][C]58.5151893337945[/C][C]-9.61518933379454[/C][/ROW]
[ROW][C]197[/C][C]49.23[/C][C]59.5813333600521[/C][C]-10.3513333600521[/C][/ROW]
[ROW][C]198[/C][C]48.53[/C][C]60.105220389268[/C][C]-11.575220389268[/C][/ROW]
[ROW][C]199[/C][C]48.03[/C][C]60.5086058635857[/C][C]-12.4786058635856[/C][/ROW]
[ROW][C]200[/C][C]54.34[/C][C]59.0140918482572[/C][C]-4.67409184825723[/C][/ROW]
[ROW][C]201[/C][C]53.79[/C][C]58.754718770635[/C][C]-4.964718770635[/C][/ROW]
[ROW][C]202[/C][C]53.24[/C][C]56.3564430935703[/C][C]-3.11644309357034[/C][/ROW]
[ROW][C]203[/C][C]52.96[/C][C]56.8502047340616[/C][C]-3.89020473406165[/C][/ROW]
[ROW][C]204[/C][C]52.17[/C][C]58.2176026475646[/C][C]-6.04760264756464[/C][/ROW]
[ROW][C]205[/C][C]51.7[/C][C]59.6753767272413[/C][C]-7.97537672724127[/C][/ROW]
[ROW][C]206[/C][C]58.55[/C][C]59.5967559819663[/C][C]-1.04675598196629[/C][/ROW]
[ROW][C]207[/C][C]78.2[/C][C]59.1265051832723[/C][C]19.0734948167277[/C][/ROW]
[ROW][C]208[/C][C]77.03[/C][C]59.1081352154464[/C][C]17.9218647845536[/C][/ROW]
[ROW][C]209[/C][C]76.19[/C][C]59.6320222446622[/C][C]16.5579777553378[/C][/ROW]
[ROW][C]210[/C][C]77.15[/C][C]61.4814263777579[/C][C]15.6685736222421[/C][/ROW]
[ROW][C]211[/C][C]75.87[/C][C]83.8160948435416[/C][C]-7.94609484354159[/C][/ROW]
[ROW][C]212[/C][C]95.47[/C][C]118.080417244244[/C][C]-22.6104172442436[/C][/ROW]
[ROW][C]213[/C][C]109.67[/C][C]117.369163335753[/C][C]-7.69916333575329[/C][/ROW]
[ROW][C]214[/C][C]112.28[/C][C]117.079664869407[/C][C]-4.79966486940652[/C][/ROW]
[ROW][C]215[/C][C]112.01[/C][C]117.995181952041[/C][C]-5.98518195204139[/C][/ROW]
[ROW][C]216[/C][C]107.93[/C][C]114.934147723037[/C][C]-7.00414772303682[/C][/ROW]
[ROW][C]217[/C][C]105.96[/C][C]115.367658586079[/C][C]-9.40765858607906[/C][/ROW]
[ROW][C]218[/C][C]105.06[/C][C]110.378599478704[/C][C]-5.31859947870383[/C][/ROW]
[ROW][C]219[/C][C]102.98[/C][C]106.534305142861[/C][C]-3.5543051428612[/C][/ROW]
[ROW][C]220[/C][C]102.2[/C][C]105.762800456922[/C][C]-3.56280045692177[/C][/ROW]
[ROW][C]221[/C][C]105.23[/C][C]105.202173492054[/C][C]0.027826507945873[/C][/ROW]
[ROW][C]222[/C][C]101.85[/C][C]104.912675025707[/C][C]-3.06267502570736[/C][/ROW]
[ROW][C]223[/C][C]99.89[/C][C]103.900167229972[/C][C]-4.0101672299716[/C][/ROW]
[ROW][C]224[/C][C]96.23[/C][C]104.57468120281[/C][C]-8.34468120281016[/C][/ROW]
[ROW][C]225[/C][C]94.76[/C][C]102.86928946641[/C][C]-8.10928946640994[/C][/ROW]
[ROW][C]226[/C][C]91.51[/C][C]98.8743681869446[/C][C]-7.36436818694459[/C][/ROW]
[ROW][C]227[/C][C]91.63[/C][C]97.2894780054425[/C][C]-5.65947800544255[/C][/ROW]
[ROW][C]228[/C][C]91.54[/C][C]95.3732085479705[/C][C]-3.83320854797055[/C][/ROW]
[ROW][C]229[/C][C]85.23[/C][C]90.0527701646254[/C][C]-4.82277016462539[/C][/ROW]
[ROW][C]230[/C][C]87.83[/C][C]90.395904861494[/C][C]-2.565904861494[/C][/ROW]
[ROW][C]231[/C][C]87.38[/C][C]89.1423939559619[/C][C]-1.76239395596191[/C][/ROW]
[ROW][C]232[/C][C]84.44[/C][C]88.401014658747[/C][C]-3.96101465874702[/C][/ROW]
[ROW][C]233[/C][C]85.19[/C][C]85.8521120380596[/C][C]-0.662112038059649[/C][/ROW]
[ROW][C]234[/C][C]84.03[/C][C]85.622864349162[/C][C]-1.59286434916197[/C][/ROW]
[ROW][C]235[/C][C]86.73[/C][C]83.8270964465881[/C][C]2.90290355341187[/C][/ROW]
[ROW][C]236[/C][C]102.52[/C][C]84.0798549772831[/C][C]18.4401450227169[/C][/ROW]
[ROW][C]237[/C][C]104.45[/C][C]82.3142124634338[/C][C]22.1357875365662[/C][/ROW]
[ROW][C]238[/C][C]106.98[/C][C]82.5970963828533[/C][C]24.3829036171467[/C][/ROW]
[ROW][C]239[/C][C]107.02[/C][C]80.7109523141059[/C][C]26.3090476858941[/C][/ROW]
[ROW][C]240[/C][C]99.26[/C][C]81.3854662869444[/C][C]17.8745337130556[/C][/ROW]
[ROW][C]241[/C][C]94.45[/C][C]81.1260932093222[/C][C]13.3239067906778[/C][/ROW]
[ROW][C]242[/C][C]113.44[/C][C]81.5596040723644[/C][C]31.8803959276356[/C][/ROW]
[ROW][C]243[/C][C]157.33[/C][C]87.415684905824[/C][C]69.914315094176[/C][/ROW]
[ROW][C]244[/C][C]147.38[/C][C]98.8750880420484[/C][C]48.5049119579516[/C][/ROW]
[ROW][C]245[/C][C]171.89[/C][C]105.303551261274[/C][C]66.5864487387257[/C][/ROW]
[ROW][C]246[/C][C]171.95[/C][C]114.865054907853[/C][C]57.0849450921475[/C][/ROW]
[ROW][C]247[/C][C]132.71[/C][C]120.84163729621[/C][C]11.8683627037897[/C][/ROW]
[ROW][C]248[/C][C]126.02[/C][C]122.028282877366[/C][C]3.99171712263391[/C][/ROW]
[ROW][C]249[/C][C]121.18[/C][C]120.41326730714[/C][C]0.766732692860499[/C][/ROW]
[ROW][C]250[/C][C]115.45[/C][C]113.586559487567[/C][C]1.86344051243271[/C][/ROW]
[ROW][C]251[/C][C]110.48[/C][C]110.856904534533[/C][C]-0.376904534532676[/C][/ROW]
[ROW][C]252[/C][C]117.85[/C][C]106.530603979097[/C][C]11.3193960209026[/C][/ROW]
[ROW][C]253[/C][C]117.63[/C][C]102.385055756009[/C][C]15.2449442439907[/C][/ROW]
[ROW][C]254[/C][C]124.65[/C][C]100.770040185783[/C][C]23.8799598142173[/C][/ROW]
[ROW][C]255[/C][C]109.59[/C][C]102.529068152705[/C][C]7.06093184729523[/C][/ROW]
[ROW][C]256[/C][C]111.27[/C][C]100.251294030538[/C][C]11.0187059694617[/C][/ROW]
[ROW][C]257[/C][C]99.78[/C][C]97.7626421873[/C][C]2.0173578127[/C][/ROW]
[ROW][C]258[/C][C]98.21[/C][C]94.9426110680918[/C][C]3.26738893190822[/C][/ROW]
[ROW][C]259[/C][C]99.2[/C][C]94.4422348806732[/C][C]4.75776511932679[/C][/ROW]
[ROW][C]260[/C][C]97.97[/C][C]92.3753384795785[/C][C]5.59466152042151[/C][/ROW]
[ROW][C]261[/C][C]89.55[/C][C]89.7963104701666[/C][C]-0.246310470166598[/C][/ROW]
[ROW][C]262[/C][C]87.91[/C][C]86.2231446328448[/C][C]1.68685536715516[/C][/ROW]
[ROW][C]263[/C][C]93.34[/C][C]85.542016113079[/C][C]7.79798388692098[/C][/ROW]
[ROW][C]264[/C][C]94.42[/C][C]84.4090067624451[/C][C]10.0109932375549[/C][/ROW]
[ROW][C]265[/C][C]93.2[/C][C]84.0291321299247[/C][C]9.1708678700753[/C][/ROW]
[ROW][C]266[/C][C]90.29[/C][C]83.7697590523025[/C][C]6.52024094769753[/C][/ROW]
[ROW][C]267[/C][C]91.46[/C][C]85.16728235453[/C][C]6.29271764546997[/C][/ROW]
[ROW][C]268[/C][C]89.98[/C][C]84.8175331107342[/C][C]5.16246688926583[/C][/ROW]
[ROW][C]269[/C][C]88.35[/C][C]85.6426740271954[/C][C]2.70732597280457[/C][/ROW]
[ROW][C]270[/C][C]88.41[/C][C]83.3648999050289[/C][C]5.04510009497106[/C][/ROW]
[ROW][C]271[/C][C]82.44[/C][C]83.2862791597539[/C][C]-0.846279159753948[/C][/ROW]
[ROW][C]272[/C][C]79.89[/C][C]83.4787869129998[/C][C]-3.58878691299984[/C][/ROW]
[ROW][C]273[/C][C]75.69[/C][C]82.3759029510905[/C][C]-6.68590295109046[/C][/ROW]
[ROW][C]274[/C][C]75.66[/C][C]85.0085671910242[/C][C]-9.34856719102419[/C][/ROW]
[ROW][C]275[/C][C]84.5[/C][C]80.5918904694153[/C][C]3.90810953058474[/C][/ROW]
[ROW][C]276[/C][C]96.73[/C][C]80.8446490001102[/C][C]15.8853509998898[/C][/ROW]
[ROW][C]277[/C][C]87.48[/C][C]86.6103536673963[/C][C]0.869646332603747[/C][/ROW]
[ROW][C]278[/C][C]82.39[/C][C]90.689036566108[/C][C]-8.29903656610796[/C][/ROW]
[ROW][C]279[/C][C]83.48[/C][C]89.3150241056777[/C][C]-5.83502410567771[/C][/ROW]
[ROW][C]280[/C][C]79.31[/C][C]87.7903847016247[/C][C]-8.48038470162474[/C][/ROW]
[ROW][C]281[/C][C]78.16[/C][C]86.1452437426736[/C][C]-7.98524374267364[/C][/ROW]
[ROW][C]282[/C][C]72.77[/C][C]83.0842095136691[/C][C]-10.3142095136691[/C][/ROW]
[ROW][C]283[/C][C]72.45[/C][C]83.4875949879867[/C][C]-11.0375949879867[/C][/ROW]
[ROW][C]284[/C][C]68.46[/C][C]83.3788488539872[/C][C]-14.9188488539872[/C][/ROW]
[ROW][C]285[/C][C]67.62[/C][C]80.1671876813599[/C][C]-12.5471876813599[/C][/ROW]
[ROW][C]286[/C][C]68.76[/C][C]79.4559337728696[/C][C]-10.6959337728696[/C][/ROW]
[ROW][C]287[/C][C]70.07[/C][C]77.1781596507031[/C][C]-7.10815965070312[/C][/ROW]
[ROW][C]288[/C][C]68.55[/C][C]76.1957772436919[/C][C]-7.64577724369189[/C][/ROW]
[ROW][C]289[/C][C]65.3[/C][C]76.5087865518359[/C][C]-11.2087865518359[/C][/ROW]
[ROW][C]290[/C][C]58.96[/C][C]76.2494134742137[/C][C]-17.2894134742137[/C][/ROW]
[ROW][C]291[/C][C]59.17[/C][C]75.8394134529688[/C][C]-16.6694134529688[/C][/ROW]
[ROW][C]292[/C][C]62.37[/C][C]73.4712631646287[/C][C]-11.1012631646287[/C][/ROW]
[ROW][C]293[/C][C]66.28[/C][C]72.4888807576174[/C][C]-6.20888075761744[/C][/ROW]
[ROW][C]294[/C][C]55.62[/C][C]74.2177833358149[/C][C]-18.5977833358149[/C][/ROW]
[ROW][C]295[/C][C]55.23[/C][C]72.3918900445166[/C][C]-17.1618900445166[/C][/ROW]
[ROW][C]296[/C][C]55.85[/C][C]70.8069998630145[/C][C]-14.9569998630145[/C][/ROW]
[ROW][C]297[/C][C]56.75[/C][C]70.1258713432487[/C][C]-13.3758713432487[/C][/ROW]
[ROW][C]298[/C][C]50.89[/C][C]69.7761220994529[/C][C]-18.8861220994529[/C][/ROW]
[ROW][C]299[/C][C]53.88[/C][C]68.9142412473398[/C][C]-15.0342412473398[/C][/ROW]
[ROW][C]300[/C][C]52.95[/C][C]66.6063417364488[/C][C]-13.6563417364488[/C][/ROW]
[ROW][C]301[/C][C]55.08[/C][C]67.2507303205628[/C][C]-12.1707303205628[/C][/ROW]
[ROW][C]302[/C][C]53.61[/C][C]67.5034888512578[/C][C]-13.8934888512578[/C][/ROW]
[ROW][C]303[/C][C]58.78[/C][C]64.8340846756722[/C][C]-6.05408467567222[/C][/ROW]
[ROW][C]304[/C][C]61.85[/C][C]68.3102597998931[/C][C]-6.46025979989311[/C][/ROW]
[ROW][C]305[/C][C]55.91[/C][C]69.3161530487016[/C][C]-13.4061530487016[/C][/ROW]
[ROW][C]306[/C][C]53.32[/C][C]67.0685043152597[/C][C]-13.7485043152597[/C][/ROW]
[ROW][C]307[/C][C]46.41[/C][C]68.1948991189663[/C][C]-21.7848991189663[/C][/ROW]
[ROW][C]308[/C][C]44.57[/C][C]66.7003851036379[/C][C]-22.1303851036379[/C][/ROW]
[ROW][C]309[/C][C]50[/C][C]66.4108866372911[/C][C]-16.4108866372911[/C][/ROW]
[ROW][C]310[/C][C]50[/C][C]64.8862472332382[/C][C]-14.8862472332382[/C][/ROW]
[ROW][C]311[/C][C]53.36[/C][C]65.1390057639331[/C][C]-11.7790057639331[/C][/ROW]
[ROW][C]312[/C][C]46.23[/C][C]63.7649933035029[/C][C]-17.5349933035029[/C][/ROW]
[ROW][C]313[/C][C]50.45[/C][C]68.5666855316036[/C][C]-18.1166855316036[/C][/ROW]
[ROW][C]314[/C][C]49.07[/C][C]66.2587860207126[/C][C]-17.1887860207126[/C][/ROW]
[ROW][C]315[/C][C]45.85[/C][C]66.481419162683[/C][C]-20.631419162683[/C][/ROW]
[ROW][C]316[/C][C]48.45[/C][C]68.6923279604732[/C][C]-20.2423279604731[/C][/ROW]
[ROW][C]317[/C][C]49.96[/C][C]66.5049300044803[/C][C]-16.5449300044803[/C][/ROW]
[ROW][C]318[/C][C]46.53[/C][C]66.2756823155826[/C][C]-19.7456823155826[/C][/ROW]
[ROW][C]319[/C][C]50.51[/C][C]66.6188170124512[/C][C]-16.1088170124512[/C][/ROW]
[ROW][C]320[/C][C]47.58[/C][C]65.8774377152363[/C][C]-18.2974377152363[/C][/ROW]
[ROW][C]321[/C][C]48.05[/C][C]65.7686915812368[/C][C]-17.7186915812368[/C][/ROW]
[ROW][C]322[/C][C]46.84[/C][C]62.8884096845795[/C][C]-16.0484096845795[/C][/ROW]
[ROW][C]323[/C][C]47.67[/C][C]61.4541464467001[/C][C]-13.7841464467001[/C][/ROW]
[ROW][C]324[/C][C]49.16[/C][C]64.2976884077056[/C][C]-15.1376884077056[/C][/ROW]
[ROW][C]325[/C][C]55.54[/C][C]64.7613246594724[/C][C]-9.2213246594724[/C][/ROW]
[ROW][C]326[/C][C]55.82[/C][C]63.6283153088385[/C][C]-7.80831530883849[/C][/ROW]
[ROW][C]327[/C][C]58.22[/C][C]65.8693494953532[/C][C]-7.64934949535317[/C][/ROW]
[ROW][C]328[/C][C]56.19[/C][C]65.0978448094137[/C][C]-8.90784480941375[/C][/ROW]
[ROW][C]329[/C][C]57.77[/C][C]62.7296945210736[/C][C]-4.95969452107363[/C][/ROW]
[ROW][C]330[/C][C]63.19[/C][C]60.2410426778353[/C][C]2.94895732216465[/C][/ROW]
[ROW][C]331[/C][C]54.76[/C][C]64.0485970780262[/C][C]-9.28859707802619[/C][/ROW]
[ROW][C]332[/C][C]55.74[/C][C]64.0001017214758[/C][C]-8.26010172147575[/C][/ROW]
[ROW][C]333[/C][C]62.54[/C][C]63.8311048100271[/C][C]-1.29110481002714[/C][/ROW]
[ROW][C]334[/C][C]61.39[/C][C]62.7583462368423[/C][C]-1.3683462368423[/C][/ROW]
[ROW][C]335[/C][C]69.6[/C][C]60.8420767793703[/C][C]8.75792322062969[/C][/ROW]
[ROW][C]336[/C][C]79.23[/C][C]60.7333306453708[/C][C]18.4966693546292[/C][/ROW]
[ROW][C]337[/C][C]80[/C][C]68.9090664106201[/C][C]11.0909335893799[/C][/ROW]
[ROW][C]338[/C][C]93.68[/C][C]65.5769036830947[/C][C]28.1030963169053[/C][/ROW]
[ROW][C]339[/C][C]107.63[/C][C]67.6070601485376[/C][C]40.0229398514624[/C][/ROW]
[ROW][C]340[/C][C]100.18[/C][C]74.5175295873562[/C][C]25.6624704126438[/C][/ROW]
[ROW][C]341[/C][C]97.3[/C][C]77.1501938272899[/C][C]20.1498061727101[/C][/ROW]
[ROW][C]342[/C][C]90.45[/C][C]79.7226072897745[/C][C]10.7273927102255[/C][/ROW]
[ROW][C]343[/C][C]80.64[/C][C]77.2038300578117[/C][C]3.43616994218829[/C][/ROW]
[ROW][C]344[/C][C]80.58[/C][C]81.6138922324934[/C][C]-1.03389223249339[/C][/ROW]
[ROW][C]345[/C][C]75.82[/C][C]80.511008270584[/C][C]-4.69100827058401[/C][/ROW]
[ROW][C]346[/C][C]85.59[/C][C]80.4625129140336[/C][C]5.12748708596644[/C][/ROW]
[ROW][C]347[/C][C]89.35[/C][C]75.7747076939038[/C][C]13.5752923060962[/C][/ROW]
[ROW][C]348[/C][C]89.42[/C][C]73.9789397913299[/C][C]15.4410602086701[/C][/ROW]
[ROW][C]349[/C][C]104.73[/C][C]73.8400682686059[/C][C]30.8899317313941[/C][/ROW]
[ROW][C]350[/C][C]95.32[/C][C]72.044300366032[/C][C]23.275699633968[/C][/ROW]
[ROW][C]351[/C][C]89.27[/C][C]75.8217293774983[/C][C]13.4482706225016[/C][/ROW]
[ROW][C]352[/C][C]90.44[/C][C]75.502105522427[/C][C]14.937894477573[/C][/ROW]
[ROW][C]353[/C][C]86.97[/C][C]77.1707573231754[/C][C]9.79924267682457[/C][/ROW]
[ROW][C]354[/C][C]79.98[/C][C]71.3683127202376[/C][C]8.61168727976238[/C][/ROW]
[ROW][C]355[/C][C]81.22[/C][C]71.199315808789[/C][C]10.020684191211[/C][/ROW]
[ROW][C]356[/C][C]87.35[/C][C]72.4160867786693[/C][C]14.9339132213307[/C][/ROW]
[ROW][C]357[/C][C]83.64[/C][C]71.6747074814544[/C][C]11.9652925185456[/C][/ROW]
[ROW][C]358[/C][C]82.22[/C][C]70.571823519545[/C][C]11.648176480455[/C][/ROW]
[ROW][C]359[/C][C]94.4[/C][C]71.1258359374854[/C][C]23.2741640625146[/C][/ROW]
[ROW][C]360[/C][C]102.18[/C][C]69.7216980883306[/C][C]32.4583019116694[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=144181&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=144181&T=4

As an alternative you can also use a QR Code:  

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

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
187.2870.170937238021817.1090627619782
287.2877.71403984005589.56596015994421
387.0983.600246062243.48975393776001
486.9295.3910284744343-8.47102847443425
587.59105.886419171473-18.2964191714733
690.72111.652123838759-20.9321238387593
790.69110.308236767054-19.6182367670536
890.3108.000337256163-17.7003372561625
989.55105.993691632517-16.4436916325169
1088.94104.077422175045-15.1374221750449
1188.41100.534381726448-12.1243817264477
1287.8298.8892407674966-11.0692407674966
1387.0797.1537236423718-10.0837236423718
1486.8296.0207142917379-9.20071429173788
1586.495.1889588283494-8.78895882834937
1686.0291.525416824854-5.50541682485399
1785.6689.8501504771783-4.19015047717831
1885.3287.2108716903173-1.89087169031734
198585.5356053426417-0.535605342641653
2084.6780.99842706613463.67157293386543
2183.9478.41939905672275.52060094327732
2282.8377.04538659629245.78461340370759
2381.9576.72576274122115.2242372587789
2481.1976.22538655380264.96461344619745
2580.4874.88149948209685.59850051790318
2678.8673.59786318784025.26213681215981
2769.4771.4405906205719-1.97059062057186
2868.7770.3377066586625-1.56770665866248
2970.0669.71682891634580.343171083654241
3073.9571.08422682984882.86577317015125
3175.877.6633169926974-1.8633169926974
3277.7985.6281750368749-7.83817503687493
3381.5788.833221662575-7.26322166257496
3483.0790.260870353527-7.19087035352703
3584.3491.5077667121319-7.16776671213186
3685.192.0617791300723-6.96177913007225
3785.2588.4283625153014-3.17836251530139
3884.2690.0668889273253-5.80688892732526
3983.6387.9096163600569-4.27961636005694
4086.4486.26447540110580.175524598894189
4185.386.8184878190462-1.5184878190462
4284.186.0771085218313-1.97710852183131
4383.3688.1072649872742-4.74726498727422
4482.4887.124882580263-4.64488258026299
4581.5883.762594464013-2.18259446401302
4680.4781.9367011727146-1.46670117271465
4779.3477.73090217217751.60909782782249
4882.1374.7301187206227.39988127937797
4981.6973.68748553616178.00251446383828
5080.768.939429538582911.7605704614171
5179.8867.234037802182712.6459621978173
5279.1666.492658504967712.6673414950322
5378.3865.660903041579212.7190969584208
5477.4265.943786960998811.4762130390012
5576.4764.871028387813911.5989716121861
5675.4664.340526811670811.1194731883292
5774.4864.020902956599510.4590970434005
5878.2764.092909154947214.1770908450528
5980.763.080401359211517.6195986407885
6079.9165.743190987869714.1668090121303
6178.7565.152438634277613.5975613657224
6277.7868.53823759232489.24176240767519
6381.1468.821121511744312.3188784882557
6481.0868.863002321367512.2169976786325
6580.0368.965133908439811.0648660915602
6678.9168.374381554847610.5356184451524
6778.0167.452249925285510.5577500747145
6876.967.79538462215419.10461537784595
6975.9767.325133823468.64486617653995
7081.9366.583754526245115.3462454737549
7180.2766.264130671173814.0058693288261
7278.6766.366262258246112.3037377417539
7377.4266.829898510012910.5901014899871
7476.1667.26340937305518.8965906269449
7574.767.27516479395377.42483520604627
7676.3965.991528499697110.3984715003029
7776.0465.822531588248510.2174684117515
7874.6565.53303312190179.11696687809828
7973.2965.09290771193228.19709228806776
8071.7965.49629318624996.29370681375008
8174.3964.78503927775969.60496072224042
8274.9165.03779780845469.87220219154544
8374.5465.71231178129318.8276882187069
8473.0865.00105787280288.07894212719724
8572.7566.27807962013216.47192037986787
8671.3267.88648064343153.43351935656852
8770.3867.17522673494113.20477326505889
8870.3567.42798526563612.92201473436391
8970.0167.77111996250472.23888003749533
9069.3668.77701321131320.582986788686815
9167.7769.4515271841517-1.68152718415175
9269.2669.19215410652950.0678458934705032
9369.869.53528880339810.264711196601896
9468.3869.7579219453685-1.37792194536855
9567.6269.3780473128481-1.75804731284814
9668.3969.6308058435431-1.24080584354311
9766.9569.5823104869927-2.63231048699267
9865.2170.1363229049331-4.92632290493307
9966.6470.2083291032808-3.56832910328078
10063.4569.918830636934-6.46883063693402
10160.6669.6293321705872-8.96933217058725
10262.3469.7314637576595-7.39146375765951
10360.3269.7733445672827-9.4533445672827
10458.6468.1583289970561-9.5183289970561
10560.4667.7483289758112-7.28832897581117
10658.5968.0312128952307-9.44121289523069
10761.8767.6513382627103-5.7813382627103
10861.8565.2530625856456-3.40306258564564
10967.4471.3200211401771-3.88002114017707
11077.0696.5467269235168-19.4867269235167
11191.74102.643810866773-10.9038108667727
11293.15100.546789076953-7.39678907695346
11394.1599.3234035601459-5.17340356014592
11493.1198.3108957644102-5.20089576441018
11591.5196.0632470309682-4.55324703096821
11689.9691.9478241966047-1.98782419660472
11788.1685.99475265004422.16524734995582
11886.9885.43412568517651.54587431482347
11988.0386.47014432270961.55985567729041
12086.2486.2408966338119-0.000896633811902368
12184.6585.2585142268007-0.608514226800665
12283.2382.83011316101150.399886838988525
12381.781.09459603588670.605403964113281
12480.2578.21431413922942.03568586077059
12578.875.21353068767393.58646931232607
12677.5174.77340527770442.73659472229556
12776.273.82114825941782.37885174058224
12875.0470.85049019658684.18950980341318
1297471.97688500029352.02311499970649
13075.4973.85641452211371.63358547788629
13177.1470.19287251861836.94712748138169
13276.1569.21049011160716.93950988839292
13376.2772.20465901623534.06534098376468
13478.1972.24653982585855.94346017414149
13576.4970.23989420221296.25010579778711
13677.3172.51105377745214.79894622254788
13776.6571.92030142385994.72969857614007
13874.9971.41992523644143.57007476355862
13973.5173.23920398081250.270796019187518
14072.0771.89531690910680.174683090893205
14170.5972.1179500510772-1.52795005107721
14271.9672.5213355253949-0.561335525394897
14376.2973.58747955165252.70252044834753
14474.8674.53312202301190.3268779769881
14574.9375.6595168267186-0.729516826718554
14671.978.2620556779277-6.36205567792775
14771.0177.8219302679583-6.81193026795827
14877.4780.062964454473-2.59296445447298
14975.7881.4604877567005-5.68048775670052
15076.681.5324939550482-4.93249395504825
15176.0783.2312711445212-7.1612711445212
15274.5781.5560047968455-6.98600479684554
15373.0279.3083560634036-6.28835606340358
15472.6577.4523373833807-4.80233738338066
15573.1673.3369145490172-0.176914549017158
15671.5374.3126824091011-2.78268240910111
15769.7873.6616792780599-3.88167927805984
15867.9875.0592025802874-7.07920258028739
15969.9672.7814284581209-2.82142845812091
16072.1672.5521807692232-0.392180769223213
16170.4774.1003310150735-3.63033101507346
16268.8675.2267258187801-6.36672581878012
16367.3777.4978853940194-10.1278853940194
16465.8776.6360045419063-10.7660045419063
16572.1676.5272584079068-4.36725840790679
16671.3476.6293899949791-5.28938999497905
16769.9374.0202365968426-4.0902365968426
16868.4473.851239685394-5.41123968539401
16967.1673.9232458837417-6.76324588374173
17066.0174.6580106340294-8.64801063402936
17167.2572.2898603456892-5.03986034568923
17270.9173.145126650875-2.23512665087503
17369.7571.7409888017202-1.99098880172024
17468.5971.3008633917508-2.71086339175077
17567.4869.4147193230033-1.93471932300331
17666.3166.926067479765-0.616067479765019
17764.8165.9135596840293-1.10355968402926
17866.5866.28681976962240.293180230377586
17965.9765.24418658516210.725813414837892
18064.763.74967256983370.95032743016632
18164.764.9965689284385-0.296568928438519
18260.9465.5505813463789-4.61058134637891
18359.0863.7849388325296-4.70493883252962
18458.4263.1640610902129-4.74406109021288
18557.7764.5615843924404-6.79158439244043
18657.1163.458700430531-6.34870043053104
18753.3164.2235905695432-10.9135905695432
18849.9663.0002050527357-13.0402050527357
18949.460.6621801531201-11.2621801531201
19048.8459.2580423039653-10.4180423039653
19148.356.1668826862362-7.86688268623619
19247.7455.3050018341231-7.56500183412314
19347.2454.8950018128782-7.65500181287819
19446.7657.8590453287819-11.0990453287819
19546.2958.1118038594769-11.8218038594769
19648.958.5151893337945-9.61518933379454
19749.2359.5813333600521-10.3513333600521
19848.5360.105220389268-11.575220389268
19948.0360.5086058635857-12.4786058635856
20054.3459.0140918482572-4.67409184825723
20153.7958.754718770635-4.964718770635
20253.2456.3564430935703-3.11644309357034
20352.9656.8502047340616-3.89020473406165
20452.1758.2176026475646-6.04760264756464
20551.759.6753767272413-7.97537672724127
20658.5559.5967559819663-1.04675598196629
20778.259.126505183272319.0734948167277
20877.0359.108135215446417.9218647845536
20976.1959.632022244662216.5579777553378
21077.1561.481426377757915.6685736222421
21175.8783.8160948435416-7.94609484354159
21295.47118.080417244244-22.6104172442436
213109.67117.369163335753-7.69916333575329
214112.28117.079664869407-4.79966486940652
215112.01117.995181952041-5.98518195204139
216107.93114.934147723037-7.00414772303682
217105.96115.367658586079-9.40765858607906
218105.06110.378599478704-5.31859947870383
219102.98106.534305142861-3.5543051428612
220102.2105.762800456922-3.56280045692177
221105.23105.2021734920540.027826507945873
222101.85104.912675025707-3.06267502570736
22399.89103.900167229972-4.0101672299716
22496.23104.57468120281-8.34468120281016
22594.76102.86928946641-8.10928946640994
22691.5198.8743681869446-7.36436818694459
22791.6397.2894780054425-5.65947800544255
22891.5495.3732085479705-3.83320854797055
22985.2390.0527701646254-4.82277016462539
23087.8390.395904861494-2.565904861494
23187.3889.1423939559619-1.76239395596191
23284.4488.401014658747-3.96101465874702
23385.1985.8521120380596-0.662112038059649
23484.0385.622864349162-1.59286434916197
23586.7383.82709644658812.90290355341187
236102.5284.079854977283118.4401450227169
237104.4582.314212463433822.1357875365662
238106.9882.597096382853324.3829036171467
239107.0280.710952314105926.3090476858941
24099.2681.385466286944417.8745337130556
24194.4581.126093209322213.3239067906778
242113.4481.559604072364431.8803959276356
243157.3387.41568490582469.914315094176
244147.3898.875088042048448.5049119579516
245171.89105.30355126127466.5864487387257
246171.95114.86505490785357.0849450921475
247132.71120.8416372962111.8683627037897
248126.02122.0282828773663.99171712263391
249121.18120.413267307140.766732692860499
250115.45113.5865594875671.86344051243271
251110.48110.856904534533-0.376904534532676
252117.85106.53060397909711.3193960209026
253117.63102.38505575600915.2449442439907
254124.65100.77004018578323.8799598142173
255109.59102.5290681527057.06093184729523
256111.27100.25129403053811.0187059694617
25799.7897.76264218732.0173578127
25898.2194.94261106809183.26738893190822
25999.294.44223488067324.75776511932679
26097.9792.37533847957855.59466152042151
26189.5589.7963104701666-0.246310470166598
26287.9186.22314463284481.68685536715516
26393.3485.5420161130797.79798388692098
26494.4284.409006762445110.0109932375549
26593.284.02913212992479.1708678700753
26690.2983.76975905230256.52024094769753
26791.4685.167282354536.29271764546997
26889.9884.81753311073425.16246688926583
26988.3585.64267402719542.70732597280457
27088.4183.36489990502895.04510009497106
27182.4483.2862791597539-0.846279159753948
27279.8983.4787869129998-3.58878691299984
27375.6982.3759029510905-6.68590295109046
27475.6685.0085671910242-9.34856719102419
27584.580.59189046941533.90810953058474
27696.7380.844649000110215.8853509998898
27787.4886.61035366739630.869646332603747
27882.3990.689036566108-8.29903656610796
27983.4889.3150241056777-5.83502410567771
28079.3187.7903847016247-8.48038470162474
28178.1686.1452437426736-7.98524374267364
28272.7783.0842095136691-10.3142095136691
28372.4583.4875949879867-11.0375949879867
28468.4683.3788488539872-14.9188488539872
28567.6280.1671876813599-12.5471876813599
28668.7679.4559337728696-10.6959337728696
28770.0777.1781596507031-7.10815965070312
28868.5576.1957772436919-7.64577724369189
28965.376.5087865518359-11.2087865518359
29058.9676.2494134742137-17.2894134742137
29159.1775.8394134529688-16.6694134529688
29262.3773.4712631646287-11.1012631646287
29366.2872.4888807576174-6.20888075761744
29455.6274.2177833358149-18.5977833358149
29555.2372.3918900445166-17.1618900445166
29655.8570.8069998630145-14.9569998630145
29756.7570.1258713432487-13.3758713432487
29850.8969.7761220994529-18.8861220994529
29953.8868.9142412473398-15.0342412473398
30052.9566.6063417364488-13.6563417364488
30155.0867.2507303205628-12.1707303205628
30253.6167.5034888512578-13.8934888512578
30358.7864.8340846756722-6.05408467567222
30461.8568.3102597998931-6.46025979989311
30555.9169.3161530487016-13.4061530487016
30653.3267.0685043152597-13.7485043152597
30746.4168.1948991189663-21.7848991189663
30844.5766.7003851036379-22.1303851036379
3095066.4108866372911-16.4108866372911
3105064.8862472332382-14.8862472332382
31153.3665.1390057639331-11.7790057639331
31246.2363.7649933035029-17.5349933035029
31350.4568.5666855316036-18.1166855316036
31449.0766.2587860207126-17.1887860207126
31545.8566.481419162683-20.631419162683
31648.4568.6923279604732-20.2423279604731
31749.9666.5049300044803-16.5449300044803
31846.5366.2756823155826-19.7456823155826
31950.5166.6188170124512-16.1088170124512
32047.5865.8774377152363-18.2974377152363
32148.0565.7686915812368-17.7186915812368
32246.8462.8884096845795-16.0484096845795
32347.6761.4541464467001-13.7841464467001
32449.1664.2976884077056-15.1376884077056
32555.5464.7613246594724-9.2213246594724
32655.8263.6283153088385-7.80831530883849
32758.2265.8693494953532-7.64934949535317
32856.1965.0978448094137-8.90784480941375
32957.7762.7296945210736-4.95969452107363
33063.1960.24104267783532.94895732216465
33154.7664.0485970780262-9.28859707802619
33255.7464.0001017214758-8.26010172147575
33362.5463.8311048100271-1.29110481002714
33461.3962.7583462368423-1.3683462368423
33569.660.84207677937038.75792322062969
33679.2360.733330645370818.4966693546292
3378068.909066410620111.0909335893799
33893.6865.576903683094728.1030963169053
339107.6367.607060148537640.0229398514624
340100.1874.517529587356225.6624704126438
34197.377.150193827289920.1498061727101
34290.4579.722607289774510.7273927102255
34380.6477.20383005781173.43616994218829
34480.5881.6138922324934-1.03389223249339
34575.8280.511008270584-4.69100827058401
34685.5980.46251291403365.12748708596644
34789.3575.774707693903813.5752923060962
34889.4273.978939791329915.4410602086701
349104.7373.840068268605930.8899317313941
35095.3272.04430036603223.275699633968
35189.2775.821729377498313.4482706225016
35290.4475.50210552242714.937894477573
35386.9777.17075732317549.79924267682457
35479.9871.36831272023768.61168727976238
35581.2271.19931580878910.020684191211
35687.3572.416086778669314.9339132213307
35783.6471.674707481454411.9652925185456
35882.2270.57182351954511.648176480455
35994.471.125835937485423.2741640625146
360102.1869.721698088330632.4583019116694







Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
60.001838652993336420.003677305986672840.998161347006664
70.0001672869408948220.0003345738817896440.999832713059105
81.96306162886165e-053.92612325772331e-050.999980369383711
92.69294940133285e-065.38589880266571e-060.999997307050599
103.41722899813938e-076.83445799627876e-070.9999996582771
113.65414010547009e-087.30828021094018e-080.999999963458599
123.86260933810568e-097.72521867621136e-090.999999996137391
134.41822685045396e-108.83645370090793e-100.999999999558177
144.10692166165807e-118.21384332331614e-110.999999999958931
153.70677888650063e-127.41355777300126e-120.999999999996293
162.84176755957145e-135.68353511914291e-130.999999999999716
172.07511302609706e-144.15022605219412e-140.999999999999979
181.43538413084236e-152.87076826168472e-150.999999999999999
199.59909881932816e-171.91981976386563e-161
206.71252990582156e-181.34250598116431e-171
214.24788367808177e-198.49576735616354e-191
223.93341396444855e-207.8668279288971e-201
237.12971898811025e-211.42594379762205e-201
241.99494663245671e-213.98989326491341e-211
255.93758058297187e-221.18751611659437e-211
261.07107307386128e-212.14214614772256e-211
274.38481406745259e-148.76962813490518e-140.999999999999956
282.53035858013932e-125.06071716027864e-120.99999999999747
294.04460794946152e-128.08921589892304e-120.999999999995955
301.06257989360539e-122.12515978721078e-120.999999999998937
312.48725608036259e-134.97451216072518e-130.999999999999751
325.95407221467121e-141.19081444293424e-130.99999999999994
333.04451685257978e-146.08903370515956e-140.99999999999997
342.19420300175656e-144.38840600351311e-140.999999999999978
351.9085058522566e-143.81701170451319e-140.999999999999981
361.62599334080939e-143.25198668161879e-140.999999999999984
371.68521735184528e-143.37043470369056e-140.999999999999983
388.06794325924481e-151.61358865184896e-140.999999999999992
393.4920428335025e-156.984085667005e-150.999999999999997
404.81072724368583e-159.62145448737165e-150.999999999999995
412.93696991910836e-155.87393983821673e-150.999999999999997
421.20835721298687e-152.41671442597374e-150.999999999999999
433.71915308899389e-167.43830617798777e-161
441.05534102342502e-162.11068204685003e-161
452.96175911345293e-175.92351822690585e-171
467.83368190483427e-181.56673638096685e-171
472.0609585463192e-184.1219170926384e-181
481.27733010584223e-182.55466021168445e-181
496.74563766258003e-191.34912753251601e-181
503.8296887155583e-197.6593774311166e-191
511.78310284441571e-193.56620568883143e-191
526.79381535506233e-201.35876307101247e-191
532.23234909112231e-204.46469818224463e-201
546.21555382953874e-211.24311076590775e-201
551.65996588929687e-213.31993177859373e-211
564.40680623304187e-228.81361246608375e-221
571.22772534811878e-222.45545069623756e-221
584.46438841697551e-238.92877683395103e-231
594.06206970568894e-238.12413941137788e-231
601.79841482206778e-233.59682964413555e-231
616.04533538842114e-241.20906707768423e-231
621.56675872798453e-243.13351745596906e-241
637.07302966216791e-251.41460593243358e-241
642.96937623472527e-255.93875246945055e-251
659.29355266754055e-261.85871053350811e-251
662.53199697359254e-265.06399394718508e-261
676.66559382135193e-271.33311876427039e-261
681.78868842617205e-273.57737685234411e-271
695.21752647598435e-281.04350529519687e-271
703.9377288216874e-287.8754576433748e-281
711.5828567863187e-283.1657135726374e-281
724.56334538249784e-299.12669076499568e-291
731.22979984185683e-292.45959968371366e-291
743.71330109447383e-307.42660218894767e-301
751.51249625283963e-303.02499250567925e-301
764.21959187151507e-318.43918374303015e-311
771.20395228745432e-312.40790457490863e-311
784.18528394843127e-328.37056789686254e-321
791.97764579300562e-323.95529158601124e-321
801.60513324285376e-323.21026648570753e-321
815.13180523369182e-331.02636104673836e-321
821.52049929582211e-333.04099859164422e-331
834.7018540716858e-349.40370814337159e-341
841.86791483581757e-343.73582967163513e-341
858.31727314775567e-351.66345462955113e-341
866.76359706675071e-351.35271941335014e-341
876.73747544688478e-351.34749508937696e-341
885.78605334152153e-351.15721066830431e-341
895.04218607276187e-351.00843721455237e-341
905.46794621970316e-351.09358924394063e-341
911.17481035645019e-342.34962071290038e-341
928.68067134698196e-351.73613426939639e-341
934.61761249814369e-359.23522499628739e-351
943.74715825325429e-357.49431650650858e-351
953.39537339527014e-356.79074679054029e-351
961.93519309075569e-353.87038618151138e-351
971.65568379697249e-353.31136759394498e-351
982.6981312168634e-355.3962624337268e-351
991.81005469503891e-353.62010939007782e-351
1004.25879844784226e-358.51759689568453e-351
1013.4897656951268e-346.97953139025359e-341
1026.45290905474183e-341.29058181094837e-331
1032.44787556301439e-334.89575112602877e-331
1041.35648083405882e-322.71296166811765e-321
1051.95251607749465e-323.9050321549893e-321
1065.04207156462179e-321.00841431292436e-311
1072.93309099360862e-325.86618198721724e-321
1081.47927495383602e-322.95854990767204e-321
1094.53602289148313e-339.07204578296627e-331
1101.18720290216928e-322.37440580433856e-321
1113.66716077606467e-297.33432155212935e-291
1128.6910751737008e-271.73821503474016e-261
1134.6922796389241e-259.38455927784821e-251
1144.70800257849355e-249.4160051569871e-241
1151.6933374367111e-233.3866748734222e-231
1163.9551219550662e-237.91024391013241e-231
1178.2627711720601e-231.65255423441202e-221
1181.11863255285053e-222.23726510570106e-221
1191.55394152957233e-223.10788305914467e-221
1201.33264881952345e-222.66529763904691e-221
1218.80122783207468e-231.76024556641494e-221
1225.31412825381053e-231.06282565076211e-221
1232.83871971239771e-235.67743942479542e-231
1241.4773744402209e-232.95474888044179e-231
1257.66214394775199e-241.5324287895504e-231
1263.53844984069128e-247.07689968138257e-241
1271.53336406379056e-243.06672812758112e-241
1286.91956177220491e-251.38391235444098e-241
1292.84347556782752e-255.68695113565503e-251
1301.17145793941161e-252.34291587882323e-251
1316.90513127439586e-261.38102625487917e-251
1323.83117719423422e-267.66235438846843e-261
1331.7638144339495e-263.527628867899e-261
1341.00753226496309e-262.01506452992617e-261
1355.35082631736362e-271.07016526347272e-261
1362.65552165762706e-275.31104331525412e-271
1371.27325767730148e-272.54651535460297e-271
1385.48696334103756e-281.09739266820751e-271
1392.18197444422983e-284.36394888845965e-281
1408.92091006046482e-291.78418201209296e-281
1413.94090879154986e-297.88181758309973e-291
1421.59582189336571e-293.19164378673142e-291
1436.8280063390152e-301.36560126780304e-291
1442.62772760927972e-305.25545521855945e-301
1459.90338330327752e-311.9806766606555e-301
1464.77685015420477e-319.55370030840955e-311
1472.47061452147121e-314.94122904294242e-311
1489.08515930221435e-321.81703186044287e-311
1493.41695981800406e-326.83391963600811e-321
1501.24020574166672e-322.48041148333344e-321
1514.78016552496836e-339.56033104993672e-331
1521.90553915741853e-333.81107831483706e-331
1537.7766727643268e-341.55533455286536e-331
1542.99471497099105e-345.98942994198209e-341
1551.08335549489662e-342.16671098979323e-341
1564.04544567533294e-358.09089135066588e-351
1571.68145765337204e-353.36291530674409e-351
1589.66296170449696e-361.93259234089939e-351
1593.70567639130712e-367.41135278261425e-361
1601.31290969836741e-362.62581939673482e-361
1614.9269678369661e-379.85393567393221e-371
1622.29141861272295e-374.58283722544589e-371
1631.67995512878298e-373.35991025756595e-371
1641.5233349379131e-373.04666987582619e-371
1655.26262742044107e-381.05252548408821e-371
1661.88109520871267e-383.76219041742535e-381
1676.75019316717519e-391.35003863343504e-381
1682.70907163154193e-395.41814326308387e-391
1691.26922502446628e-392.53845004893256e-391
1707.55022258692198e-401.5100445173844e-391
1713.01918532336948e-406.03837064673896e-401
1721.00003465273872e-402.00006930547743e-401
1733.3204126994683e-416.6408253989366e-411
1741.12392227938502e-412.24784455877005e-411
1753.8665910563028e-427.7331821126056e-421
1761.36090943528294e-422.72181887056589e-421
1775.10813721005016e-431.02162744201003e-421
1781.76634752614893e-433.53269505229785e-431
1796.21469885329402e-441.2429397706588e-431
1802.27670290605293e-444.55340581210585e-441
1818.25265081296136e-451.65053016259227e-441
1824.73380031676591e-459.46760063353182e-451
1833.31034905059167e-456.62069810118334e-451
1842.40361976868107e-454.80723953736214e-451
1852.21653813938906e-454.43307627877812e-451
1861.99731013147986e-453.99462026295972e-451
1876.33382158081683e-451.26676431616337e-441
1885.35194732519584e-441.07038946503917e-431
1892.70843690865421e-435.41687381730843e-431
1901.04510607126429e-422.09021214252858e-421
1912.41517569306782e-424.83035138613564e-421
1924.98526250395691e-429.97052500791382e-421
1939.67538079348761e-421.93507615869752e-411
1942.96741235875746e-415.93482471751492e-411
1959.34216922422658e-411.86843384484532e-401
1961.22198381006341e-402.44396762012681e-401
1971.54484158989791e-403.08968317979582e-401
1982.32826749235997e-404.65653498471994e-401
1993.91901735957144e-407.83803471914287e-401
2001.63102194589776e-403.26204389179552e-401
2016.92147254556363e-411.38429450911273e-401
2022.77213307458509e-415.54426614917018e-411
2031.13190184690407e-412.26380369380813e-411
2045.20657579480488e-421.04131515896098e-411
2052.74870871615675e-425.49741743231349e-421
2069.87348221288753e-431.97469644257751e-421
2071.99230271046505e-403.98460542093009e-401
2081.88945687963836e-383.77891375927672e-381
2091.11110691711905e-362.2222138342381e-361
2107.43535082600387e-351.48707016520077e-341
2113.71597515032169e-357.43195030064337e-351
2121.82346438726035e-343.64692877452069e-341
2135.21853209705913e-331.04370641941183e-321
2141.19715416069525e-312.39430832139049e-311
2151.16444880728791e-302.32889761457582e-301
2164.34832057249893e-308.69664114499786e-301
2171.17218874074232e-292.34437748148465e-291
2182.53941262801573e-295.07882525603145e-291
2194.26661299870718e-298.53322599741437e-291
2206.17627980404332e-291.23525596080866e-281
2211.26792510640402e-282.53585021280804e-281
2221.56411156827089e-283.12822313654177e-281
2231.61311307518896e-283.22622615037792e-281
2241.57924357562557e-283.15848715125115e-281
2251.44502821321092e-282.89005642642184e-281
2261.06132662378063e-282.12265324756125e-281
2277.3336106912689e-291.46672213825378e-281
2284.86754061469205e-299.73508122938409e-291
2292.5001612563316e-295.00032251266319e-291
2301.41625911145201e-292.83251822290401e-291
2318.00579666262272e-301.60115933252454e-291
2323.97062823754624e-307.94125647509248e-301
2332.1735394150282e-304.3470788300564e-301
2341.0947478733769e-302.18949574675379e-301
2358.29166875137797e-311.65833375027559e-301
2364.19533551866183e-298.39067103732366e-291
2376.63123796308746e-271.32624759261749e-261
2381.7344525806927e-243.4689051613854e-241
2396.8844220481067e-221.37688440962134e-211
2401.01138649274957e-202.02277298549913e-201
2414.50314749232553e-209.00629498465105e-201
2429.11726254046754e-171.82345250809351e-161
2431.16367703195357e-062.32735406390714e-060.999998836322968
2440.0005163051810616390.001032610362123280.999483694818938
2450.2077717312844690.4155434625689380.792228268715531
2460.7422018540852290.5155962918295420.257798145914771
2470.73283641542460.53432716915080.2671635845754
2480.7505032129124570.4989935741750860.249496787087543
2490.7924081757888380.4151836484223250.207591824211162
2500.8060294078815180.3879411842369640.193970592118482
2510.8264528715957040.3470942568085930.173547128404296
2520.8113087364222430.3773825271555150.188691263577757
2530.802470092993970.395059814012060.19752990700603
2540.839042673983380.3219146520332390.16095732601662
2550.8195036560134020.3609926879731970.180496343986598
2560.8026409336897090.3947181326205830.197359066310291
2570.7793233246427120.4413533507145760.220676675357288
2580.7537226384791910.4925547230416180.246277361520809
2590.7281600108858770.5436799782282470.271839989114123
2600.7064308333025610.5871383333948770.293569166697439
2610.6789007978544460.6421984042911090.321099202145554
2620.6621243417469940.6757513165060120.337875658253006
2630.6782118545895120.6435762908209760.321788145410488
2640.7203885582437390.5592228835125210.27961144175626
2650.7610884755798760.4778230488402480.238911524420124
2660.7873577591938420.4252844816123170.212642240806158
2670.8066681679296750.3866636641406510.193331832070325
2680.8236461828894410.3527076342211190.176353817110559
2690.8279139087691340.3441721824617330.172086091230866
2700.8543425434570060.2913149130859890.145657456542994
2710.8574576898596810.2850846202806380.142542310140319
2720.8532165409759290.2935669180481410.146783459024071
2730.8454739707947140.3090520584105730.154526029205286
2740.8313100123577760.3373799752844480.168689987642224
2750.8684136518387410.2631726963225180.131586348161259
2760.9617525393894240.07649492122115230.0382474606105762
2770.9660250392707830.06794992145843380.0339749607292169
2780.9604922395908930.07901552081821490.0395077604091075
2790.9553741203790830.08925175924183360.0446258796209168
2800.9494133902836170.1011732194327660.0505866097163831
2810.9440038613121780.1119922773756440.0559961386878221
2820.9388878309479790.1222243381040410.0611121690520205
2830.9326921566131260.1346156867737490.0673078433868743
2840.9260484957458290.1479030085083430.0739515042541713
2850.9194727932576920.1610544134846160.0805272067423081
2860.9142532014269430.1714935971461140.0857467985730571
2870.9185342607274350.1629314785451290.0814657392725647
2880.9244654683779840.1510690632440310.0755345316220157
2890.9242516016851110.1514967966297780.075748398314889
2900.9190091782928320.1619816434143360.0809908217071682
2910.9131918521187740.1736162957624530.0868081478812263
2920.9151748602151480.1696502795697040.0848251397848522
2930.9328756057506160.1342487884987680.067124394249384
2940.928262476696440.143475046607120.0717375233035599
2950.9239493061761460.1521013876477090.0760506938238544
2960.9217868634330460.1564262731339080.0782131365669538
2970.9223795649670870.1552408700658260.0776204350329131
2980.9162770560970920.1674458878058160.0837229439029082
2990.9130355546403390.1739288907193220.0869644453596608
3000.911718328774120.1765633424517610.0882816712258805
3010.9136948213019310.1726103573961370.0863051786980686
3020.9118915378019030.1762169243961940.0881084621980968
3030.9329842801079890.1340314397840220.0670157198920112
3040.9529775627982630.09404487440347470.0470224372017373
3050.955910190787060.08817961842587930.0440898092129396
3060.9573035572848960.08539288543020710.0426964427151036
3070.9515014165043970.09699716699120680.0484985834956034
3080.9442361572384370.1115276855231270.0557638427615635
3090.9375448542316230.1249102915367540.062455145768377
3100.9303522837847650.1392954324304710.0696477162152354
3110.9276603182397480.1446793635205050.0723396817602524
3120.9148574167071580.1702851665856840.0851425832928419
3130.9009744552335920.1980510895328150.0990255447664077
3140.8837728851064710.2324542297870580.116227114893529
3150.8654085991947140.2691828016105710.134591400805286
3160.8442735206490180.3114529587019640.155726479350982
3170.8172407851524740.3655184296950530.182759214847526
3180.7946245361875640.4107509276248720.205375463812436
3190.7626313267432280.4747373465135440.237368673256772
3200.7387614659302650.522477068139470.261238534069735
3210.7174588904414090.5650822191171820.282541109558591
3220.6987594273936950.602481145212610.301240572606305
3230.6776704495114320.6446591009771360.322329550488568
3240.6712516732197560.6574966535604880.328748326780244
3250.6364787763806010.7270424472387970.363521223619399
3260.6022618639122660.7954762721754680.397738136087734
3270.570496426590210.8590071468195790.42950357340979
3280.5618139283156050.8763721433687910.438186071684395
3290.5433511782480790.9132976435038420.456648821751921
3300.4968028525203270.9936057050406540.503197147479673
3310.5627409098759660.8745181802480670.437259090124034
3320.6704826849263490.6590346301473020.329517315073651
3330.7297453905571660.5405092188856680.270254609442834
3340.8557748869705090.2884502260589820.144225113029491
3350.9264776134571750.147044773085650.0735223865428252
3360.9641871891937870.07162562161242620.0358128108062131
3370.9876326149050560.02473477018988820.0123673850949441
3380.993963827844130.01207234431173990.00603617215586994
3390.9919299516346010.01614009673079730.00807004836539864
3400.9886290897796880.0227418204406240.011370910220312
3410.9870538007997150.02589239840057070.0129461992002854
3420.982145976053580.03570804789284020.0178540239464201
3430.9769093155166770.04618136896664570.0230906844833229
3440.9622646575077850.07547068498442970.0377353424922149
3450.9637302979102660.07253940417946820.0362697020897341
3460.941853544889890.116292910220220.0581464551101098
3470.9091084868616750.1817830262766510.0908915131383254
3480.8658929597860880.2682140804278230.134107040213911
3490.9292433675850890.1415132648298210.0707566324149106
3500.9713552007911280.05728959841774490.0286447992088724
3510.9604944659193390.07901106816132120.0395055340806606
3520.9673039228532790.06539215429344140.0326960771467207
3530.9333311195685710.1333377608628580.0666688804314288
3540.8554415334909030.2891169330181950.144558466509097

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
6 & 0.00183865299333642 & 0.00367730598667284 & 0.998161347006664 \tabularnewline
7 & 0.000167286940894822 & 0.000334573881789644 & 0.999832713059105 \tabularnewline
8 & 1.96306162886165e-05 & 3.92612325772331e-05 & 0.999980369383711 \tabularnewline
9 & 2.69294940133285e-06 & 5.38589880266571e-06 & 0.999997307050599 \tabularnewline
10 & 3.41722899813938e-07 & 6.83445799627876e-07 & 0.9999996582771 \tabularnewline
11 & 3.65414010547009e-08 & 7.30828021094018e-08 & 0.999999963458599 \tabularnewline
12 & 3.86260933810568e-09 & 7.72521867621136e-09 & 0.999999996137391 \tabularnewline
13 & 4.41822685045396e-10 & 8.83645370090793e-10 & 0.999999999558177 \tabularnewline
14 & 4.10692166165807e-11 & 8.21384332331614e-11 & 0.999999999958931 \tabularnewline
15 & 3.70677888650063e-12 & 7.41355777300126e-12 & 0.999999999996293 \tabularnewline
16 & 2.84176755957145e-13 & 5.68353511914291e-13 & 0.999999999999716 \tabularnewline
17 & 2.07511302609706e-14 & 4.15022605219412e-14 & 0.999999999999979 \tabularnewline
18 & 1.43538413084236e-15 & 2.87076826168472e-15 & 0.999999999999999 \tabularnewline
19 & 9.59909881932816e-17 & 1.91981976386563e-16 & 1 \tabularnewline
20 & 6.71252990582156e-18 & 1.34250598116431e-17 & 1 \tabularnewline
21 & 4.24788367808177e-19 & 8.49576735616354e-19 & 1 \tabularnewline
22 & 3.93341396444855e-20 & 7.8668279288971e-20 & 1 \tabularnewline
23 & 7.12971898811025e-21 & 1.42594379762205e-20 & 1 \tabularnewline
24 & 1.99494663245671e-21 & 3.98989326491341e-21 & 1 \tabularnewline
25 & 5.93758058297187e-22 & 1.18751611659437e-21 & 1 \tabularnewline
26 & 1.07107307386128e-21 & 2.14214614772256e-21 & 1 \tabularnewline
27 & 4.38481406745259e-14 & 8.76962813490518e-14 & 0.999999999999956 \tabularnewline
28 & 2.53035858013932e-12 & 5.06071716027864e-12 & 0.99999999999747 \tabularnewline
29 & 4.04460794946152e-12 & 8.08921589892304e-12 & 0.999999999995955 \tabularnewline
30 & 1.06257989360539e-12 & 2.12515978721078e-12 & 0.999999999998937 \tabularnewline
31 & 2.48725608036259e-13 & 4.97451216072518e-13 & 0.999999999999751 \tabularnewline
32 & 5.95407221467121e-14 & 1.19081444293424e-13 & 0.99999999999994 \tabularnewline
33 & 3.04451685257978e-14 & 6.08903370515956e-14 & 0.99999999999997 \tabularnewline
34 & 2.19420300175656e-14 & 4.38840600351311e-14 & 0.999999999999978 \tabularnewline
35 & 1.9085058522566e-14 & 3.81701170451319e-14 & 0.999999999999981 \tabularnewline
36 & 1.62599334080939e-14 & 3.25198668161879e-14 & 0.999999999999984 \tabularnewline
37 & 1.68521735184528e-14 & 3.37043470369056e-14 & 0.999999999999983 \tabularnewline
38 & 8.06794325924481e-15 & 1.61358865184896e-14 & 0.999999999999992 \tabularnewline
39 & 3.4920428335025e-15 & 6.984085667005e-15 & 0.999999999999997 \tabularnewline
40 & 4.81072724368583e-15 & 9.62145448737165e-15 & 0.999999999999995 \tabularnewline
41 & 2.93696991910836e-15 & 5.87393983821673e-15 & 0.999999999999997 \tabularnewline
42 & 1.20835721298687e-15 & 2.41671442597374e-15 & 0.999999999999999 \tabularnewline
43 & 3.71915308899389e-16 & 7.43830617798777e-16 & 1 \tabularnewline
44 & 1.05534102342502e-16 & 2.11068204685003e-16 & 1 \tabularnewline
45 & 2.96175911345293e-17 & 5.92351822690585e-17 & 1 \tabularnewline
46 & 7.83368190483427e-18 & 1.56673638096685e-17 & 1 \tabularnewline
47 & 2.0609585463192e-18 & 4.1219170926384e-18 & 1 \tabularnewline
48 & 1.27733010584223e-18 & 2.55466021168445e-18 & 1 \tabularnewline
49 & 6.74563766258003e-19 & 1.34912753251601e-18 & 1 \tabularnewline
50 & 3.8296887155583e-19 & 7.6593774311166e-19 & 1 \tabularnewline
51 & 1.78310284441571e-19 & 3.56620568883143e-19 & 1 \tabularnewline
52 & 6.79381535506233e-20 & 1.35876307101247e-19 & 1 \tabularnewline
53 & 2.23234909112231e-20 & 4.46469818224463e-20 & 1 \tabularnewline
54 & 6.21555382953874e-21 & 1.24311076590775e-20 & 1 \tabularnewline
55 & 1.65996588929687e-21 & 3.31993177859373e-21 & 1 \tabularnewline
56 & 4.40680623304187e-22 & 8.81361246608375e-22 & 1 \tabularnewline
57 & 1.22772534811878e-22 & 2.45545069623756e-22 & 1 \tabularnewline
58 & 4.46438841697551e-23 & 8.92877683395103e-23 & 1 \tabularnewline
59 & 4.06206970568894e-23 & 8.12413941137788e-23 & 1 \tabularnewline
60 & 1.79841482206778e-23 & 3.59682964413555e-23 & 1 \tabularnewline
61 & 6.04533538842114e-24 & 1.20906707768423e-23 & 1 \tabularnewline
62 & 1.56675872798453e-24 & 3.13351745596906e-24 & 1 \tabularnewline
63 & 7.07302966216791e-25 & 1.41460593243358e-24 & 1 \tabularnewline
64 & 2.96937623472527e-25 & 5.93875246945055e-25 & 1 \tabularnewline
65 & 9.29355266754055e-26 & 1.85871053350811e-25 & 1 \tabularnewline
66 & 2.53199697359254e-26 & 5.06399394718508e-26 & 1 \tabularnewline
67 & 6.66559382135193e-27 & 1.33311876427039e-26 & 1 \tabularnewline
68 & 1.78868842617205e-27 & 3.57737685234411e-27 & 1 \tabularnewline
69 & 5.21752647598435e-28 & 1.04350529519687e-27 & 1 \tabularnewline
70 & 3.9377288216874e-28 & 7.8754576433748e-28 & 1 \tabularnewline
71 & 1.5828567863187e-28 & 3.1657135726374e-28 & 1 \tabularnewline
72 & 4.56334538249784e-29 & 9.12669076499568e-29 & 1 \tabularnewline
73 & 1.22979984185683e-29 & 2.45959968371366e-29 & 1 \tabularnewline
74 & 3.71330109447383e-30 & 7.42660218894767e-30 & 1 \tabularnewline
75 & 1.51249625283963e-30 & 3.02499250567925e-30 & 1 \tabularnewline
76 & 4.21959187151507e-31 & 8.43918374303015e-31 & 1 \tabularnewline
77 & 1.20395228745432e-31 & 2.40790457490863e-31 & 1 \tabularnewline
78 & 4.18528394843127e-32 & 8.37056789686254e-32 & 1 \tabularnewline
79 & 1.97764579300562e-32 & 3.95529158601124e-32 & 1 \tabularnewline
80 & 1.60513324285376e-32 & 3.21026648570753e-32 & 1 \tabularnewline
81 & 5.13180523369182e-33 & 1.02636104673836e-32 & 1 \tabularnewline
82 & 1.52049929582211e-33 & 3.04099859164422e-33 & 1 \tabularnewline
83 & 4.7018540716858e-34 & 9.40370814337159e-34 & 1 \tabularnewline
84 & 1.86791483581757e-34 & 3.73582967163513e-34 & 1 \tabularnewline
85 & 8.31727314775567e-35 & 1.66345462955113e-34 & 1 \tabularnewline
86 & 6.76359706675071e-35 & 1.35271941335014e-34 & 1 \tabularnewline
87 & 6.73747544688478e-35 & 1.34749508937696e-34 & 1 \tabularnewline
88 & 5.78605334152153e-35 & 1.15721066830431e-34 & 1 \tabularnewline
89 & 5.04218607276187e-35 & 1.00843721455237e-34 & 1 \tabularnewline
90 & 5.46794621970316e-35 & 1.09358924394063e-34 & 1 \tabularnewline
91 & 1.17481035645019e-34 & 2.34962071290038e-34 & 1 \tabularnewline
92 & 8.68067134698196e-35 & 1.73613426939639e-34 & 1 \tabularnewline
93 & 4.61761249814369e-35 & 9.23522499628739e-35 & 1 \tabularnewline
94 & 3.74715825325429e-35 & 7.49431650650858e-35 & 1 \tabularnewline
95 & 3.39537339527014e-35 & 6.79074679054029e-35 & 1 \tabularnewline
96 & 1.93519309075569e-35 & 3.87038618151138e-35 & 1 \tabularnewline
97 & 1.65568379697249e-35 & 3.31136759394498e-35 & 1 \tabularnewline
98 & 2.6981312168634e-35 & 5.3962624337268e-35 & 1 \tabularnewline
99 & 1.81005469503891e-35 & 3.62010939007782e-35 & 1 \tabularnewline
100 & 4.25879844784226e-35 & 8.51759689568453e-35 & 1 \tabularnewline
101 & 3.4897656951268e-34 & 6.97953139025359e-34 & 1 \tabularnewline
102 & 6.45290905474183e-34 & 1.29058181094837e-33 & 1 \tabularnewline
103 & 2.44787556301439e-33 & 4.89575112602877e-33 & 1 \tabularnewline
104 & 1.35648083405882e-32 & 2.71296166811765e-32 & 1 \tabularnewline
105 & 1.95251607749465e-32 & 3.9050321549893e-32 & 1 \tabularnewline
106 & 5.04207156462179e-32 & 1.00841431292436e-31 & 1 \tabularnewline
107 & 2.93309099360862e-32 & 5.86618198721724e-32 & 1 \tabularnewline
108 & 1.47927495383602e-32 & 2.95854990767204e-32 & 1 \tabularnewline
109 & 4.53602289148313e-33 & 9.07204578296627e-33 & 1 \tabularnewline
110 & 1.18720290216928e-32 & 2.37440580433856e-32 & 1 \tabularnewline
111 & 3.66716077606467e-29 & 7.33432155212935e-29 & 1 \tabularnewline
112 & 8.6910751737008e-27 & 1.73821503474016e-26 & 1 \tabularnewline
113 & 4.6922796389241e-25 & 9.38455927784821e-25 & 1 \tabularnewline
114 & 4.70800257849355e-24 & 9.4160051569871e-24 & 1 \tabularnewline
115 & 1.6933374367111e-23 & 3.3866748734222e-23 & 1 \tabularnewline
116 & 3.9551219550662e-23 & 7.91024391013241e-23 & 1 \tabularnewline
117 & 8.2627711720601e-23 & 1.65255423441202e-22 & 1 \tabularnewline
118 & 1.11863255285053e-22 & 2.23726510570106e-22 & 1 \tabularnewline
119 & 1.55394152957233e-22 & 3.10788305914467e-22 & 1 \tabularnewline
120 & 1.33264881952345e-22 & 2.66529763904691e-22 & 1 \tabularnewline
121 & 8.80122783207468e-23 & 1.76024556641494e-22 & 1 \tabularnewline
122 & 5.31412825381053e-23 & 1.06282565076211e-22 & 1 \tabularnewline
123 & 2.83871971239771e-23 & 5.67743942479542e-23 & 1 \tabularnewline
124 & 1.4773744402209e-23 & 2.95474888044179e-23 & 1 \tabularnewline
125 & 7.66214394775199e-24 & 1.5324287895504e-23 & 1 \tabularnewline
126 & 3.53844984069128e-24 & 7.07689968138257e-24 & 1 \tabularnewline
127 & 1.53336406379056e-24 & 3.06672812758112e-24 & 1 \tabularnewline
128 & 6.91956177220491e-25 & 1.38391235444098e-24 & 1 \tabularnewline
129 & 2.84347556782752e-25 & 5.68695113565503e-25 & 1 \tabularnewline
130 & 1.17145793941161e-25 & 2.34291587882323e-25 & 1 \tabularnewline
131 & 6.90513127439586e-26 & 1.38102625487917e-25 & 1 \tabularnewline
132 & 3.83117719423422e-26 & 7.66235438846843e-26 & 1 \tabularnewline
133 & 1.7638144339495e-26 & 3.527628867899e-26 & 1 \tabularnewline
134 & 1.00753226496309e-26 & 2.01506452992617e-26 & 1 \tabularnewline
135 & 5.35082631736362e-27 & 1.07016526347272e-26 & 1 \tabularnewline
136 & 2.65552165762706e-27 & 5.31104331525412e-27 & 1 \tabularnewline
137 & 1.27325767730148e-27 & 2.54651535460297e-27 & 1 \tabularnewline
138 & 5.48696334103756e-28 & 1.09739266820751e-27 & 1 \tabularnewline
139 & 2.18197444422983e-28 & 4.36394888845965e-28 & 1 \tabularnewline
140 & 8.92091006046482e-29 & 1.78418201209296e-28 & 1 \tabularnewline
141 & 3.94090879154986e-29 & 7.88181758309973e-29 & 1 \tabularnewline
142 & 1.59582189336571e-29 & 3.19164378673142e-29 & 1 \tabularnewline
143 & 6.8280063390152e-30 & 1.36560126780304e-29 & 1 \tabularnewline
144 & 2.62772760927972e-30 & 5.25545521855945e-30 & 1 \tabularnewline
145 & 9.90338330327752e-31 & 1.9806766606555e-30 & 1 \tabularnewline
146 & 4.77685015420477e-31 & 9.55370030840955e-31 & 1 \tabularnewline
147 & 2.47061452147121e-31 & 4.94122904294242e-31 & 1 \tabularnewline
148 & 9.08515930221435e-32 & 1.81703186044287e-31 & 1 \tabularnewline
149 & 3.41695981800406e-32 & 6.83391963600811e-32 & 1 \tabularnewline
150 & 1.24020574166672e-32 & 2.48041148333344e-32 & 1 \tabularnewline
151 & 4.78016552496836e-33 & 9.56033104993672e-33 & 1 \tabularnewline
152 & 1.90553915741853e-33 & 3.81107831483706e-33 & 1 \tabularnewline
153 & 7.7766727643268e-34 & 1.55533455286536e-33 & 1 \tabularnewline
154 & 2.99471497099105e-34 & 5.98942994198209e-34 & 1 \tabularnewline
155 & 1.08335549489662e-34 & 2.16671098979323e-34 & 1 \tabularnewline
156 & 4.04544567533294e-35 & 8.09089135066588e-35 & 1 \tabularnewline
157 & 1.68145765337204e-35 & 3.36291530674409e-35 & 1 \tabularnewline
158 & 9.66296170449696e-36 & 1.93259234089939e-35 & 1 \tabularnewline
159 & 3.70567639130712e-36 & 7.41135278261425e-36 & 1 \tabularnewline
160 & 1.31290969836741e-36 & 2.62581939673482e-36 & 1 \tabularnewline
161 & 4.9269678369661e-37 & 9.85393567393221e-37 & 1 \tabularnewline
162 & 2.29141861272295e-37 & 4.58283722544589e-37 & 1 \tabularnewline
163 & 1.67995512878298e-37 & 3.35991025756595e-37 & 1 \tabularnewline
164 & 1.5233349379131e-37 & 3.04666987582619e-37 & 1 \tabularnewline
165 & 5.26262742044107e-38 & 1.05252548408821e-37 & 1 \tabularnewline
166 & 1.88109520871267e-38 & 3.76219041742535e-38 & 1 \tabularnewline
167 & 6.75019316717519e-39 & 1.35003863343504e-38 & 1 \tabularnewline
168 & 2.70907163154193e-39 & 5.41814326308387e-39 & 1 \tabularnewline
169 & 1.26922502446628e-39 & 2.53845004893256e-39 & 1 \tabularnewline
170 & 7.55022258692198e-40 & 1.5100445173844e-39 & 1 \tabularnewline
171 & 3.01918532336948e-40 & 6.03837064673896e-40 & 1 \tabularnewline
172 & 1.00003465273872e-40 & 2.00006930547743e-40 & 1 \tabularnewline
173 & 3.3204126994683e-41 & 6.6408253989366e-41 & 1 \tabularnewline
174 & 1.12392227938502e-41 & 2.24784455877005e-41 & 1 \tabularnewline
175 & 3.8665910563028e-42 & 7.7331821126056e-42 & 1 \tabularnewline
176 & 1.36090943528294e-42 & 2.72181887056589e-42 & 1 \tabularnewline
177 & 5.10813721005016e-43 & 1.02162744201003e-42 & 1 \tabularnewline
178 & 1.76634752614893e-43 & 3.53269505229785e-43 & 1 \tabularnewline
179 & 6.21469885329402e-44 & 1.2429397706588e-43 & 1 \tabularnewline
180 & 2.27670290605293e-44 & 4.55340581210585e-44 & 1 \tabularnewline
181 & 8.25265081296136e-45 & 1.65053016259227e-44 & 1 \tabularnewline
182 & 4.73380031676591e-45 & 9.46760063353182e-45 & 1 \tabularnewline
183 & 3.31034905059167e-45 & 6.62069810118334e-45 & 1 \tabularnewline
184 & 2.40361976868107e-45 & 4.80723953736214e-45 & 1 \tabularnewline
185 & 2.21653813938906e-45 & 4.43307627877812e-45 & 1 \tabularnewline
186 & 1.99731013147986e-45 & 3.99462026295972e-45 & 1 \tabularnewline
187 & 6.33382158081683e-45 & 1.26676431616337e-44 & 1 \tabularnewline
188 & 5.35194732519584e-44 & 1.07038946503917e-43 & 1 \tabularnewline
189 & 2.70843690865421e-43 & 5.41687381730843e-43 & 1 \tabularnewline
190 & 1.04510607126429e-42 & 2.09021214252858e-42 & 1 \tabularnewline
191 & 2.41517569306782e-42 & 4.83035138613564e-42 & 1 \tabularnewline
192 & 4.98526250395691e-42 & 9.97052500791382e-42 & 1 \tabularnewline
193 & 9.67538079348761e-42 & 1.93507615869752e-41 & 1 \tabularnewline
194 & 2.96741235875746e-41 & 5.93482471751492e-41 & 1 \tabularnewline
195 & 9.34216922422658e-41 & 1.86843384484532e-40 & 1 \tabularnewline
196 & 1.22198381006341e-40 & 2.44396762012681e-40 & 1 \tabularnewline
197 & 1.54484158989791e-40 & 3.08968317979582e-40 & 1 \tabularnewline
198 & 2.32826749235997e-40 & 4.65653498471994e-40 & 1 \tabularnewline
199 & 3.91901735957144e-40 & 7.83803471914287e-40 & 1 \tabularnewline
200 & 1.63102194589776e-40 & 3.26204389179552e-40 & 1 \tabularnewline
201 & 6.92147254556363e-41 & 1.38429450911273e-40 & 1 \tabularnewline
202 & 2.77213307458509e-41 & 5.54426614917018e-41 & 1 \tabularnewline
203 & 1.13190184690407e-41 & 2.26380369380813e-41 & 1 \tabularnewline
204 & 5.20657579480488e-42 & 1.04131515896098e-41 & 1 \tabularnewline
205 & 2.74870871615675e-42 & 5.49741743231349e-42 & 1 \tabularnewline
206 & 9.87348221288753e-43 & 1.97469644257751e-42 & 1 \tabularnewline
207 & 1.99230271046505e-40 & 3.98460542093009e-40 & 1 \tabularnewline
208 & 1.88945687963836e-38 & 3.77891375927672e-38 & 1 \tabularnewline
209 & 1.11110691711905e-36 & 2.2222138342381e-36 & 1 \tabularnewline
210 & 7.43535082600387e-35 & 1.48707016520077e-34 & 1 \tabularnewline
211 & 3.71597515032169e-35 & 7.43195030064337e-35 & 1 \tabularnewline
212 & 1.82346438726035e-34 & 3.64692877452069e-34 & 1 \tabularnewline
213 & 5.21853209705913e-33 & 1.04370641941183e-32 & 1 \tabularnewline
214 & 1.19715416069525e-31 & 2.39430832139049e-31 & 1 \tabularnewline
215 & 1.16444880728791e-30 & 2.32889761457582e-30 & 1 \tabularnewline
216 & 4.34832057249893e-30 & 8.69664114499786e-30 & 1 \tabularnewline
217 & 1.17218874074232e-29 & 2.34437748148465e-29 & 1 \tabularnewline
218 & 2.53941262801573e-29 & 5.07882525603145e-29 & 1 \tabularnewline
219 & 4.26661299870718e-29 & 8.53322599741437e-29 & 1 \tabularnewline
220 & 6.17627980404332e-29 & 1.23525596080866e-28 & 1 \tabularnewline
221 & 1.26792510640402e-28 & 2.53585021280804e-28 & 1 \tabularnewline
222 & 1.56411156827089e-28 & 3.12822313654177e-28 & 1 \tabularnewline
223 & 1.61311307518896e-28 & 3.22622615037792e-28 & 1 \tabularnewline
224 & 1.57924357562557e-28 & 3.15848715125115e-28 & 1 \tabularnewline
225 & 1.44502821321092e-28 & 2.89005642642184e-28 & 1 \tabularnewline
226 & 1.06132662378063e-28 & 2.12265324756125e-28 & 1 \tabularnewline
227 & 7.3336106912689e-29 & 1.46672213825378e-28 & 1 \tabularnewline
228 & 4.86754061469205e-29 & 9.73508122938409e-29 & 1 \tabularnewline
229 & 2.5001612563316e-29 & 5.00032251266319e-29 & 1 \tabularnewline
230 & 1.41625911145201e-29 & 2.83251822290401e-29 & 1 \tabularnewline
231 & 8.00579666262272e-30 & 1.60115933252454e-29 & 1 \tabularnewline
232 & 3.97062823754624e-30 & 7.94125647509248e-30 & 1 \tabularnewline
233 & 2.1735394150282e-30 & 4.3470788300564e-30 & 1 \tabularnewline
234 & 1.0947478733769e-30 & 2.18949574675379e-30 & 1 \tabularnewline
235 & 8.29166875137797e-31 & 1.65833375027559e-30 & 1 \tabularnewline
236 & 4.19533551866183e-29 & 8.39067103732366e-29 & 1 \tabularnewline
237 & 6.63123796308746e-27 & 1.32624759261749e-26 & 1 \tabularnewline
238 & 1.7344525806927e-24 & 3.4689051613854e-24 & 1 \tabularnewline
239 & 6.8844220481067e-22 & 1.37688440962134e-21 & 1 \tabularnewline
240 & 1.01138649274957e-20 & 2.02277298549913e-20 & 1 \tabularnewline
241 & 4.50314749232553e-20 & 9.00629498465105e-20 & 1 \tabularnewline
242 & 9.11726254046754e-17 & 1.82345250809351e-16 & 1 \tabularnewline
243 & 1.16367703195357e-06 & 2.32735406390714e-06 & 0.999998836322968 \tabularnewline
244 & 0.000516305181061639 & 0.00103261036212328 & 0.999483694818938 \tabularnewline
245 & 0.207771731284469 & 0.415543462568938 & 0.792228268715531 \tabularnewline
246 & 0.742201854085229 & 0.515596291829542 & 0.257798145914771 \tabularnewline
247 & 0.7328364154246 & 0.5343271691508 & 0.2671635845754 \tabularnewline
248 & 0.750503212912457 & 0.498993574175086 & 0.249496787087543 \tabularnewline
249 & 0.792408175788838 & 0.415183648422325 & 0.207591824211162 \tabularnewline
250 & 0.806029407881518 & 0.387941184236964 & 0.193970592118482 \tabularnewline
251 & 0.826452871595704 & 0.347094256808593 & 0.173547128404296 \tabularnewline
252 & 0.811308736422243 & 0.377382527155515 & 0.188691263577757 \tabularnewline
253 & 0.80247009299397 & 0.39505981401206 & 0.19752990700603 \tabularnewline
254 & 0.83904267398338 & 0.321914652033239 & 0.16095732601662 \tabularnewline
255 & 0.819503656013402 & 0.360992687973197 & 0.180496343986598 \tabularnewline
256 & 0.802640933689709 & 0.394718132620583 & 0.197359066310291 \tabularnewline
257 & 0.779323324642712 & 0.441353350714576 & 0.220676675357288 \tabularnewline
258 & 0.753722638479191 & 0.492554723041618 & 0.246277361520809 \tabularnewline
259 & 0.728160010885877 & 0.543679978228247 & 0.271839989114123 \tabularnewline
260 & 0.706430833302561 & 0.587138333394877 & 0.293569166697439 \tabularnewline
261 & 0.678900797854446 & 0.642198404291109 & 0.321099202145554 \tabularnewline
262 & 0.662124341746994 & 0.675751316506012 & 0.337875658253006 \tabularnewline
263 & 0.678211854589512 & 0.643576290820976 & 0.321788145410488 \tabularnewline
264 & 0.720388558243739 & 0.559222883512521 & 0.27961144175626 \tabularnewline
265 & 0.761088475579876 & 0.477823048840248 & 0.238911524420124 \tabularnewline
266 & 0.787357759193842 & 0.425284481612317 & 0.212642240806158 \tabularnewline
267 & 0.806668167929675 & 0.386663664140651 & 0.193331832070325 \tabularnewline
268 & 0.823646182889441 & 0.352707634221119 & 0.176353817110559 \tabularnewline
269 & 0.827913908769134 & 0.344172182461733 & 0.172086091230866 \tabularnewline
270 & 0.854342543457006 & 0.291314913085989 & 0.145657456542994 \tabularnewline
271 & 0.857457689859681 & 0.285084620280638 & 0.142542310140319 \tabularnewline
272 & 0.853216540975929 & 0.293566918048141 & 0.146783459024071 \tabularnewline
273 & 0.845473970794714 & 0.309052058410573 & 0.154526029205286 \tabularnewline
274 & 0.831310012357776 & 0.337379975284448 & 0.168689987642224 \tabularnewline
275 & 0.868413651838741 & 0.263172696322518 & 0.131586348161259 \tabularnewline
276 & 0.961752539389424 & 0.0764949212211523 & 0.0382474606105762 \tabularnewline
277 & 0.966025039270783 & 0.0679499214584338 & 0.0339749607292169 \tabularnewline
278 & 0.960492239590893 & 0.0790155208182149 & 0.0395077604091075 \tabularnewline
279 & 0.955374120379083 & 0.0892517592418336 & 0.0446258796209168 \tabularnewline
280 & 0.949413390283617 & 0.101173219432766 & 0.0505866097163831 \tabularnewline
281 & 0.944003861312178 & 0.111992277375644 & 0.0559961386878221 \tabularnewline
282 & 0.938887830947979 & 0.122224338104041 & 0.0611121690520205 \tabularnewline
283 & 0.932692156613126 & 0.134615686773749 & 0.0673078433868743 \tabularnewline
284 & 0.926048495745829 & 0.147903008508343 & 0.0739515042541713 \tabularnewline
285 & 0.919472793257692 & 0.161054413484616 & 0.0805272067423081 \tabularnewline
286 & 0.914253201426943 & 0.171493597146114 & 0.0857467985730571 \tabularnewline
287 & 0.918534260727435 & 0.162931478545129 & 0.0814657392725647 \tabularnewline
288 & 0.924465468377984 & 0.151069063244031 & 0.0755345316220157 \tabularnewline
289 & 0.924251601685111 & 0.151496796629778 & 0.075748398314889 \tabularnewline
290 & 0.919009178292832 & 0.161981643414336 & 0.0809908217071682 \tabularnewline
291 & 0.913191852118774 & 0.173616295762453 & 0.0868081478812263 \tabularnewline
292 & 0.915174860215148 & 0.169650279569704 & 0.0848251397848522 \tabularnewline
293 & 0.932875605750616 & 0.134248788498768 & 0.067124394249384 \tabularnewline
294 & 0.92826247669644 & 0.14347504660712 & 0.0717375233035599 \tabularnewline
295 & 0.923949306176146 & 0.152101387647709 & 0.0760506938238544 \tabularnewline
296 & 0.921786863433046 & 0.156426273133908 & 0.0782131365669538 \tabularnewline
297 & 0.922379564967087 & 0.155240870065826 & 0.0776204350329131 \tabularnewline
298 & 0.916277056097092 & 0.167445887805816 & 0.0837229439029082 \tabularnewline
299 & 0.913035554640339 & 0.173928890719322 & 0.0869644453596608 \tabularnewline
300 & 0.91171832877412 & 0.176563342451761 & 0.0882816712258805 \tabularnewline
301 & 0.913694821301931 & 0.172610357396137 & 0.0863051786980686 \tabularnewline
302 & 0.911891537801903 & 0.176216924396194 & 0.0881084621980968 \tabularnewline
303 & 0.932984280107989 & 0.134031439784022 & 0.0670157198920112 \tabularnewline
304 & 0.952977562798263 & 0.0940448744034747 & 0.0470224372017373 \tabularnewline
305 & 0.95591019078706 & 0.0881796184258793 & 0.0440898092129396 \tabularnewline
306 & 0.957303557284896 & 0.0853928854302071 & 0.0426964427151036 \tabularnewline
307 & 0.951501416504397 & 0.0969971669912068 & 0.0484985834956034 \tabularnewline
308 & 0.944236157238437 & 0.111527685523127 & 0.0557638427615635 \tabularnewline
309 & 0.937544854231623 & 0.124910291536754 & 0.062455145768377 \tabularnewline
310 & 0.930352283784765 & 0.139295432430471 & 0.0696477162152354 \tabularnewline
311 & 0.927660318239748 & 0.144679363520505 & 0.0723396817602524 \tabularnewline
312 & 0.914857416707158 & 0.170285166585684 & 0.0851425832928419 \tabularnewline
313 & 0.900974455233592 & 0.198051089532815 & 0.0990255447664077 \tabularnewline
314 & 0.883772885106471 & 0.232454229787058 & 0.116227114893529 \tabularnewline
315 & 0.865408599194714 & 0.269182801610571 & 0.134591400805286 \tabularnewline
316 & 0.844273520649018 & 0.311452958701964 & 0.155726479350982 \tabularnewline
317 & 0.817240785152474 & 0.365518429695053 & 0.182759214847526 \tabularnewline
318 & 0.794624536187564 & 0.410750927624872 & 0.205375463812436 \tabularnewline
319 & 0.762631326743228 & 0.474737346513544 & 0.237368673256772 \tabularnewline
320 & 0.738761465930265 & 0.52247706813947 & 0.261238534069735 \tabularnewline
321 & 0.717458890441409 & 0.565082219117182 & 0.282541109558591 \tabularnewline
322 & 0.698759427393695 & 0.60248114521261 & 0.301240572606305 \tabularnewline
323 & 0.677670449511432 & 0.644659100977136 & 0.322329550488568 \tabularnewline
324 & 0.671251673219756 & 0.657496653560488 & 0.328748326780244 \tabularnewline
325 & 0.636478776380601 & 0.727042447238797 & 0.363521223619399 \tabularnewline
326 & 0.602261863912266 & 0.795476272175468 & 0.397738136087734 \tabularnewline
327 & 0.57049642659021 & 0.859007146819579 & 0.42950357340979 \tabularnewline
328 & 0.561813928315605 & 0.876372143368791 & 0.438186071684395 \tabularnewline
329 & 0.543351178248079 & 0.913297643503842 & 0.456648821751921 \tabularnewline
330 & 0.496802852520327 & 0.993605705040654 & 0.503197147479673 \tabularnewline
331 & 0.562740909875966 & 0.874518180248067 & 0.437259090124034 \tabularnewline
332 & 0.670482684926349 & 0.659034630147302 & 0.329517315073651 \tabularnewline
333 & 0.729745390557166 & 0.540509218885668 & 0.270254609442834 \tabularnewline
334 & 0.855774886970509 & 0.288450226058982 & 0.144225113029491 \tabularnewline
335 & 0.926477613457175 & 0.14704477308565 & 0.0735223865428252 \tabularnewline
336 & 0.964187189193787 & 0.0716256216124262 & 0.0358128108062131 \tabularnewline
337 & 0.987632614905056 & 0.0247347701898882 & 0.0123673850949441 \tabularnewline
338 & 0.99396382784413 & 0.0120723443117399 & 0.00603617215586994 \tabularnewline
339 & 0.991929951634601 & 0.0161400967307973 & 0.00807004836539864 \tabularnewline
340 & 0.988629089779688 & 0.022741820440624 & 0.011370910220312 \tabularnewline
341 & 0.987053800799715 & 0.0258923984005707 & 0.0129461992002854 \tabularnewline
342 & 0.98214597605358 & 0.0357080478928402 & 0.0178540239464201 \tabularnewline
343 & 0.976909315516677 & 0.0461813689666457 & 0.0230906844833229 \tabularnewline
344 & 0.962264657507785 & 0.0754706849844297 & 0.0377353424922149 \tabularnewline
345 & 0.963730297910266 & 0.0725394041794682 & 0.0362697020897341 \tabularnewline
346 & 0.94185354488989 & 0.11629291022022 & 0.0581464551101098 \tabularnewline
347 & 0.909108486861675 & 0.181783026276651 & 0.0908915131383254 \tabularnewline
348 & 0.865892959786088 & 0.268214080427823 & 0.134107040213911 \tabularnewline
349 & 0.929243367585089 & 0.141513264829821 & 0.0707566324149106 \tabularnewline
350 & 0.971355200791128 & 0.0572895984177449 & 0.0286447992088724 \tabularnewline
351 & 0.960494465919339 & 0.0790110681613212 & 0.0395055340806606 \tabularnewline
352 & 0.967303922853279 & 0.0653921542934414 & 0.0326960771467207 \tabularnewline
353 & 0.933331119568571 & 0.133337760862858 & 0.0666688804314288 \tabularnewline
354 & 0.855441533490903 & 0.289116933018195 & 0.144558466509097 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=144181&T=5

[TABLE]
[ROW][C]Goldfeld-Quandt test for Heteroskedasticity[/C][/ROW]
[ROW][C]p-values[/C][C]Alternative Hypothesis[/C][/ROW]
[ROW][C]breakpoint index[/C][C]greater[/C][C]2-sided[/C][C]less[/C][/ROW]
[ROW][C]6[/C][C]0.00183865299333642[/C][C]0.00367730598667284[/C][C]0.998161347006664[/C][/ROW]
[ROW][C]7[/C][C]0.000167286940894822[/C][C]0.000334573881789644[/C][C]0.999832713059105[/C][/ROW]
[ROW][C]8[/C][C]1.96306162886165e-05[/C][C]3.92612325772331e-05[/C][C]0.999980369383711[/C][/ROW]
[ROW][C]9[/C][C]2.69294940133285e-06[/C][C]5.38589880266571e-06[/C][C]0.999997307050599[/C][/ROW]
[ROW][C]10[/C][C]3.41722899813938e-07[/C][C]6.83445799627876e-07[/C][C]0.9999996582771[/C][/ROW]
[ROW][C]11[/C][C]3.65414010547009e-08[/C][C]7.30828021094018e-08[/C][C]0.999999963458599[/C][/ROW]
[ROW][C]12[/C][C]3.86260933810568e-09[/C][C]7.72521867621136e-09[/C][C]0.999999996137391[/C][/ROW]
[ROW][C]13[/C][C]4.41822685045396e-10[/C][C]8.83645370090793e-10[/C][C]0.999999999558177[/C][/ROW]
[ROW][C]14[/C][C]4.10692166165807e-11[/C][C]8.21384332331614e-11[/C][C]0.999999999958931[/C][/ROW]
[ROW][C]15[/C][C]3.70677888650063e-12[/C][C]7.41355777300126e-12[/C][C]0.999999999996293[/C][/ROW]
[ROW][C]16[/C][C]2.84176755957145e-13[/C][C]5.68353511914291e-13[/C][C]0.999999999999716[/C][/ROW]
[ROW][C]17[/C][C]2.07511302609706e-14[/C][C]4.15022605219412e-14[/C][C]0.999999999999979[/C][/ROW]
[ROW][C]18[/C][C]1.43538413084236e-15[/C][C]2.87076826168472e-15[/C][C]0.999999999999999[/C][/ROW]
[ROW][C]19[/C][C]9.59909881932816e-17[/C][C]1.91981976386563e-16[/C][C]1[/C][/ROW]
[ROW][C]20[/C][C]6.71252990582156e-18[/C][C]1.34250598116431e-17[/C][C]1[/C][/ROW]
[ROW][C]21[/C][C]4.24788367808177e-19[/C][C]8.49576735616354e-19[/C][C]1[/C][/ROW]
[ROW][C]22[/C][C]3.93341396444855e-20[/C][C]7.8668279288971e-20[/C][C]1[/C][/ROW]
[ROW][C]23[/C][C]7.12971898811025e-21[/C][C]1.42594379762205e-20[/C][C]1[/C][/ROW]
[ROW][C]24[/C][C]1.99494663245671e-21[/C][C]3.98989326491341e-21[/C][C]1[/C][/ROW]
[ROW][C]25[/C][C]5.93758058297187e-22[/C][C]1.18751611659437e-21[/C][C]1[/C][/ROW]
[ROW][C]26[/C][C]1.07107307386128e-21[/C][C]2.14214614772256e-21[/C][C]1[/C][/ROW]
[ROW][C]27[/C][C]4.38481406745259e-14[/C][C]8.76962813490518e-14[/C][C]0.999999999999956[/C][/ROW]
[ROW][C]28[/C][C]2.53035858013932e-12[/C][C]5.06071716027864e-12[/C][C]0.99999999999747[/C][/ROW]
[ROW][C]29[/C][C]4.04460794946152e-12[/C][C]8.08921589892304e-12[/C][C]0.999999999995955[/C][/ROW]
[ROW][C]30[/C][C]1.06257989360539e-12[/C][C]2.12515978721078e-12[/C][C]0.999999999998937[/C][/ROW]
[ROW][C]31[/C][C]2.48725608036259e-13[/C][C]4.97451216072518e-13[/C][C]0.999999999999751[/C][/ROW]
[ROW][C]32[/C][C]5.95407221467121e-14[/C][C]1.19081444293424e-13[/C][C]0.99999999999994[/C][/ROW]
[ROW][C]33[/C][C]3.04451685257978e-14[/C][C]6.08903370515956e-14[/C][C]0.99999999999997[/C][/ROW]
[ROW][C]34[/C][C]2.19420300175656e-14[/C][C]4.38840600351311e-14[/C][C]0.999999999999978[/C][/ROW]
[ROW][C]35[/C][C]1.9085058522566e-14[/C][C]3.81701170451319e-14[/C][C]0.999999999999981[/C][/ROW]
[ROW][C]36[/C][C]1.62599334080939e-14[/C][C]3.25198668161879e-14[/C][C]0.999999999999984[/C][/ROW]
[ROW][C]37[/C][C]1.68521735184528e-14[/C][C]3.37043470369056e-14[/C][C]0.999999999999983[/C][/ROW]
[ROW][C]38[/C][C]8.06794325924481e-15[/C][C]1.61358865184896e-14[/C][C]0.999999999999992[/C][/ROW]
[ROW][C]39[/C][C]3.4920428335025e-15[/C][C]6.984085667005e-15[/C][C]0.999999999999997[/C][/ROW]
[ROW][C]40[/C][C]4.81072724368583e-15[/C][C]9.62145448737165e-15[/C][C]0.999999999999995[/C][/ROW]
[ROW][C]41[/C][C]2.93696991910836e-15[/C][C]5.87393983821673e-15[/C][C]0.999999999999997[/C][/ROW]
[ROW][C]42[/C][C]1.20835721298687e-15[/C][C]2.41671442597374e-15[/C][C]0.999999999999999[/C][/ROW]
[ROW][C]43[/C][C]3.71915308899389e-16[/C][C]7.43830617798777e-16[/C][C]1[/C][/ROW]
[ROW][C]44[/C][C]1.05534102342502e-16[/C][C]2.11068204685003e-16[/C][C]1[/C][/ROW]
[ROW][C]45[/C][C]2.96175911345293e-17[/C][C]5.92351822690585e-17[/C][C]1[/C][/ROW]
[ROW][C]46[/C][C]7.83368190483427e-18[/C][C]1.56673638096685e-17[/C][C]1[/C][/ROW]
[ROW][C]47[/C][C]2.0609585463192e-18[/C][C]4.1219170926384e-18[/C][C]1[/C][/ROW]
[ROW][C]48[/C][C]1.27733010584223e-18[/C][C]2.55466021168445e-18[/C][C]1[/C][/ROW]
[ROW][C]49[/C][C]6.74563766258003e-19[/C][C]1.34912753251601e-18[/C][C]1[/C][/ROW]
[ROW][C]50[/C][C]3.8296887155583e-19[/C][C]7.6593774311166e-19[/C][C]1[/C][/ROW]
[ROW][C]51[/C][C]1.78310284441571e-19[/C][C]3.56620568883143e-19[/C][C]1[/C][/ROW]
[ROW][C]52[/C][C]6.79381535506233e-20[/C][C]1.35876307101247e-19[/C][C]1[/C][/ROW]
[ROW][C]53[/C][C]2.23234909112231e-20[/C][C]4.46469818224463e-20[/C][C]1[/C][/ROW]
[ROW][C]54[/C][C]6.21555382953874e-21[/C][C]1.24311076590775e-20[/C][C]1[/C][/ROW]
[ROW][C]55[/C][C]1.65996588929687e-21[/C][C]3.31993177859373e-21[/C][C]1[/C][/ROW]
[ROW][C]56[/C][C]4.40680623304187e-22[/C][C]8.81361246608375e-22[/C][C]1[/C][/ROW]
[ROW][C]57[/C][C]1.22772534811878e-22[/C][C]2.45545069623756e-22[/C][C]1[/C][/ROW]
[ROW][C]58[/C][C]4.46438841697551e-23[/C][C]8.92877683395103e-23[/C][C]1[/C][/ROW]
[ROW][C]59[/C][C]4.06206970568894e-23[/C][C]8.12413941137788e-23[/C][C]1[/C][/ROW]
[ROW][C]60[/C][C]1.79841482206778e-23[/C][C]3.59682964413555e-23[/C][C]1[/C][/ROW]
[ROW][C]61[/C][C]6.04533538842114e-24[/C][C]1.20906707768423e-23[/C][C]1[/C][/ROW]
[ROW][C]62[/C][C]1.56675872798453e-24[/C][C]3.13351745596906e-24[/C][C]1[/C][/ROW]
[ROW][C]63[/C][C]7.07302966216791e-25[/C][C]1.41460593243358e-24[/C][C]1[/C][/ROW]
[ROW][C]64[/C][C]2.96937623472527e-25[/C][C]5.93875246945055e-25[/C][C]1[/C][/ROW]
[ROW][C]65[/C][C]9.29355266754055e-26[/C][C]1.85871053350811e-25[/C][C]1[/C][/ROW]
[ROW][C]66[/C][C]2.53199697359254e-26[/C][C]5.06399394718508e-26[/C][C]1[/C][/ROW]
[ROW][C]67[/C][C]6.66559382135193e-27[/C][C]1.33311876427039e-26[/C][C]1[/C][/ROW]
[ROW][C]68[/C][C]1.78868842617205e-27[/C][C]3.57737685234411e-27[/C][C]1[/C][/ROW]
[ROW][C]69[/C][C]5.21752647598435e-28[/C][C]1.04350529519687e-27[/C][C]1[/C][/ROW]
[ROW][C]70[/C][C]3.9377288216874e-28[/C][C]7.8754576433748e-28[/C][C]1[/C][/ROW]
[ROW][C]71[/C][C]1.5828567863187e-28[/C][C]3.1657135726374e-28[/C][C]1[/C][/ROW]
[ROW][C]72[/C][C]4.56334538249784e-29[/C][C]9.12669076499568e-29[/C][C]1[/C][/ROW]
[ROW][C]73[/C][C]1.22979984185683e-29[/C][C]2.45959968371366e-29[/C][C]1[/C][/ROW]
[ROW][C]74[/C][C]3.71330109447383e-30[/C][C]7.42660218894767e-30[/C][C]1[/C][/ROW]
[ROW][C]75[/C][C]1.51249625283963e-30[/C][C]3.02499250567925e-30[/C][C]1[/C][/ROW]
[ROW][C]76[/C][C]4.21959187151507e-31[/C][C]8.43918374303015e-31[/C][C]1[/C][/ROW]
[ROW][C]77[/C][C]1.20395228745432e-31[/C][C]2.40790457490863e-31[/C][C]1[/C][/ROW]
[ROW][C]78[/C][C]4.18528394843127e-32[/C][C]8.37056789686254e-32[/C][C]1[/C][/ROW]
[ROW][C]79[/C][C]1.97764579300562e-32[/C][C]3.95529158601124e-32[/C][C]1[/C][/ROW]
[ROW][C]80[/C][C]1.60513324285376e-32[/C][C]3.21026648570753e-32[/C][C]1[/C][/ROW]
[ROW][C]81[/C][C]5.13180523369182e-33[/C][C]1.02636104673836e-32[/C][C]1[/C][/ROW]
[ROW][C]82[/C][C]1.52049929582211e-33[/C][C]3.04099859164422e-33[/C][C]1[/C][/ROW]
[ROW][C]83[/C][C]4.7018540716858e-34[/C][C]9.40370814337159e-34[/C][C]1[/C][/ROW]
[ROW][C]84[/C][C]1.86791483581757e-34[/C][C]3.73582967163513e-34[/C][C]1[/C][/ROW]
[ROW][C]85[/C][C]8.31727314775567e-35[/C][C]1.66345462955113e-34[/C][C]1[/C][/ROW]
[ROW][C]86[/C][C]6.76359706675071e-35[/C][C]1.35271941335014e-34[/C][C]1[/C][/ROW]
[ROW][C]87[/C][C]6.73747544688478e-35[/C][C]1.34749508937696e-34[/C][C]1[/C][/ROW]
[ROW][C]88[/C][C]5.78605334152153e-35[/C][C]1.15721066830431e-34[/C][C]1[/C][/ROW]
[ROW][C]89[/C][C]5.04218607276187e-35[/C][C]1.00843721455237e-34[/C][C]1[/C][/ROW]
[ROW][C]90[/C][C]5.46794621970316e-35[/C][C]1.09358924394063e-34[/C][C]1[/C][/ROW]
[ROW][C]91[/C][C]1.17481035645019e-34[/C][C]2.34962071290038e-34[/C][C]1[/C][/ROW]
[ROW][C]92[/C][C]8.68067134698196e-35[/C][C]1.73613426939639e-34[/C][C]1[/C][/ROW]
[ROW][C]93[/C][C]4.61761249814369e-35[/C][C]9.23522499628739e-35[/C][C]1[/C][/ROW]
[ROW][C]94[/C][C]3.74715825325429e-35[/C][C]7.49431650650858e-35[/C][C]1[/C][/ROW]
[ROW][C]95[/C][C]3.39537339527014e-35[/C][C]6.79074679054029e-35[/C][C]1[/C][/ROW]
[ROW][C]96[/C][C]1.93519309075569e-35[/C][C]3.87038618151138e-35[/C][C]1[/C][/ROW]
[ROW][C]97[/C][C]1.65568379697249e-35[/C][C]3.31136759394498e-35[/C][C]1[/C][/ROW]
[ROW][C]98[/C][C]2.6981312168634e-35[/C][C]5.3962624337268e-35[/C][C]1[/C][/ROW]
[ROW][C]99[/C][C]1.81005469503891e-35[/C][C]3.62010939007782e-35[/C][C]1[/C][/ROW]
[ROW][C]100[/C][C]4.25879844784226e-35[/C][C]8.51759689568453e-35[/C][C]1[/C][/ROW]
[ROW][C]101[/C][C]3.4897656951268e-34[/C][C]6.97953139025359e-34[/C][C]1[/C][/ROW]
[ROW][C]102[/C][C]6.45290905474183e-34[/C][C]1.29058181094837e-33[/C][C]1[/C][/ROW]
[ROW][C]103[/C][C]2.44787556301439e-33[/C][C]4.89575112602877e-33[/C][C]1[/C][/ROW]
[ROW][C]104[/C][C]1.35648083405882e-32[/C][C]2.71296166811765e-32[/C][C]1[/C][/ROW]
[ROW][C]105[/C][C]1.95251607749465e-32[/C][C]3.9050321549893e-32[/C][C]1[/C][/ROW]
[ROW][C]106[/C][C]5.04207156462179e-32[/C][C]1.00841431292436e-31[/C][C]1[/C][/ROW]
[ROW][C]107[/C][C]2.93309099360862e-32[/C][C]5.86618198721724e-32[/C][C]1[/C][/ROW]
[ROW][C]108[/C][C]1.47927495383602e-32[/C][C]2.95854990767204e-32[/C][C]1[/C][/ROW]
[ROW][C]109[/C][C]4.53602289148313e-33[/C][C]9.07204578296627e-33[/C][C]1[/C][/ROW]
[ROW][C]110[/C][C]1.18720290216928e-32[/C][C]2.37440580433856e-32[/C][C]1[/C][/ROW]
[ROW][C]111[/C][C]3.66716077606467e-29[/C][C]7.33432155212935e-29[/C][C]1[/C][/ROW]
[ROW][C]112[/C][C]8.6910751737008e-27[/C][C]1.73821503474016e-26[/C][C]1[/C][/ROW]
[ROW][C]113[/C][C]4.6922796389241e-25[/C][C]9.38455927784821e-25[/C][C]1[/C][/ROW]
[ROW][C]114[/C][C]4.70800257849355e-24[/C][C]9.4160051569871e-24[/C][C]1[/C][/ROW]
[ROW][C]115[/C][C]1.6933374367111e-23[/C][C]3.3866748734222e-23[/C][C]1[/C][/ROW]
[ROW][C]116[/C][C]3.9551219550662e-23[/C][C]7.91024391013241e-23[/C][C]1[/C][/ROW]
[ROW][C]117[/C][C]8.2627711720601e-23[/C][C]1.65255423441202e-22[/C][C]1[/C][/ROW]
[ROW][C]118[/C][C]1.11863255285053e-22[/C][C]2.23726510570106e-22[/C][C]1[/C][/ROW]
[ROW][C]119[/C][C]1.55394152957233e-22[/C][C]3.10788305914467e-22[/C][C]1[/C][/ROW]
[ROW][C]120[/C][C]1.33264881952345e-22[/C][C]2.66529763904691e-22[/C][C]1[/C][/ROW]
[ROW][C]121[/C][C]8.80122783207468e-23[/C][C]1.76024556641494e-22[/C][C]1[/C][/ROW]
[ROW][C]122[/C][C]5.31412825381053e-23[/C][C]1.06282565076211e-22[/C][C]1[/C][/ROW]
[ROW][C]123[/C][C]2.83871971239771e-23[/C][C]5.67743942479542e-23[/C][C]1[/C][/ROW]
[ROW][C]124[/C][C]1.4773744402209e-23[/C][C]2.95474888044179e-23[/C][C]1[/C][/ROW]
[ROW][C]125[/C][C]7.66214394775199e-24[/C][C]1.5324287895504e-23[/C][C]1[/C][/ROW]
[ROW][C]126[/C][C]3.53844984069128e-24[/C][C]7.07689968138257e-24[/C][C]1[/C][/ROW]
[ROW][C]127[/C][C]1.53336406379056e-24[/C][C]3.06672812758112e-24[/C][C]1[/C][/ROW]
[ROW][C]128[/C][C]6.91956177220491e-25[/C][C]1.38391235444098e-24[/C][C]1[/C][/ROW]
[ROW][C]129[/C][C]2.84347556782752e-25[/C][C]5.68695113565503e-25[/C][C]1[/C][/ROW]
[ROW][C]130[/C][C]1.17145793941161e-25[/C][C]2.34291587882323e-25[/C][C]1[/C][/ROW]
[ROW][C]131[/C][C]6.90513127439586e-26[/C][C]1.38102625487917e-25[/C][C]1[/C][/ROW]
[ROW][C]132[/C][C]3.83117719423422e-26[/C][C]7.66235438846843e-26[/C][C]1[/C][/ROW]
[ROW][C]133[/C][C]1.7638144339495e-26[/C][C]3.527628867899e-26[/C][C]1[/C][/ROW]
[ROW][C]134[/C][C]1.00753226496309e-26[/C][C]2.01506452992617e-26[/C][C]1[/C][/ROW]
[ROW][C]135[/C][C]5.35082631736362e-27[/C][C]1.07016526347272e-26[/C][C]1[/C][/ROW]
[ROW][C]136[/C][C]2.65552165762706e-27[/C][C]5.31104331525412e-27[/C][C]1[/C][/ROW]
[ROW][C]137[/C][C]1.27325767730148e-27[/C][C]2.54651535460297e-27[/C][C]1[/C][/ROW]
[ROW][C]138[/C][C]5.48696334103756e-28[/C][C]1.09739266820751e-27[/C][C]1[/C][/ROW]
[ROW][C]139[/C][C]2.18197444422983e-28[/C][C]4.36394888845965e-28[/C][C]1[/C][/ROW]
[ROW][C]140[/C][C]8.92091006046482e-29[/C][C]1.78418201209296e-28[/C][C]1[/C][/ROW]
[ROW][C]141[/C][C]3.94090879154986e-29[/C][C]7.88181758309973e-29[/C][C]1[/C][/ROW]
[ROW][C]142[/C][C]1.59582189336571e-29[/C][C]3.19164378673142e-29[/C][C]1[/C][/ROW]
[ROW][C]143[/C][C]6.8280063390152e-30[/C][C]1.36560126780304e-29[/C][C]1[/C][/ROW]
[ROW][C]144[/C][C]2.62772760927972e-30[/C][C]5.25545521855945e-30[/C][C]1[/C][/ROW]
[ROW][C]145[/C][C]9.90338330327752e-31[/C][C]1.9806766606555e-30[/C][C]1[/C][/ROW]
[ROW][C]146[/C][C]4.77685015420477e-31[/C][C]9.55370030840955e-31[/C][C]1[/C][/ROW]
[ROW][C]147[/C][C]2.47061452147121e-31[/C][C]4.94122904294242e-31[/C][C]1[/C][/ROW]
[ROW][C]148[/C][C]9.08515930221435e-32[/C][C]1.81703186044287e-31[/C][C]1[/C][/ROW]
[ROW][C]149[/C][C]3.41695981800406e-32[/C][C]6.83391963600811e-32[/C][C]1[/C][/ROW]
[ROW][C]150[/C][C]1.24020574166672e-32[/C][C]2.48041148333344e-32[/C][C]1[/C][/ROW]
[ROW][C]151[/C][C]4.78016552496836e-33[/C][C]9.56033104993672e-33[/C][C]1[/C][/ROW]
[ROW][C]152[/C][C]1.90553915741853e-33[/C][C]3.81107831483706e-33[/C][C]1[/C][/ROW]
[ROW][C]153[/C][C]7.7766727643268e-34[/C][C]1.55533455286536e-33[/C][C]1[/C][/ROW]
[ROW][C]154[/C][C]2.99471497099105e-34[/C][C]5.98942994198209e-34[/C][C]1[/C][/ROW]
[ROW][C]155[/C][C]1.08335549489662e-34[/C][C]2.16671098979323e-34[/C][C]1[/C][/ROW]
[ROW][C]156[/C][C]4.04544567533294e-35[/C][C]8.09089135066588e-35[/C][C]1[/C][/ROW]
[ROW][C]157[/C][C]1.68145765337204e-35[/C][C]3.36291530674409e-35[/C][C]1[/C][/ROW]
[ROW][C]158[/C][C]9.66296170449696e-36[/C][C]1.93259234089939e-35[/C][C]1[/C][/ROW]
[ROW][C]159[/C][C]3.70567639130712e-36[/C][C]7.41135278261425e-36[/C][C]1[/C][/ROW]
[ROW][C]160[/C][C]1.31290969836741e-36[/C][C]2.62581939673482e-36[/C][C]1[/C][/ROW]
[ROW][C]161[/C][C]4.9269678369661e-37[/C][C]9.85393567393221e-37[/C][C]1[/C][/ROW]
[ROW][C]162[/C][C]2.29141861272295e-37[/C][C]4.58283722544589e-37[/C][C]1[/C][/ROW]
[ROW][C]163[/C][C]1.67995512878298e-37[/C][C]3.35991025756595e-37[/C][C]1[/C][/ROW]
[ROW][C]164[/C][C]1.5233349379131e-37[/C][C]3.04666987582619e-37[/C][C]1[/C][/ROW]
[ROW][C]165[/C][C]5.26262742044107e-38[/C][C]1.05252548408821e-37[/C][C]1[/C][/ROW]
[ROW][C]166[/C][C]1.88109520871267e-38[/C][C]3.76219041742535e-38[/C][C]1[/C][/ROW]
[ROW][C]167[/C][C]6.75019316717519e-39[/C][C]1.35003863343504e-38[/C][C]1[/C][/ROW]
[ROW][C]168[/C][C]2.70907163154193e-39[/C][C]5.41814326308387e-39[/C][C]1[/C][/ROW]
[ROW][C]169[/C][C]1.26922502446628e-39[/C][C]2.53845004893256e-39[/C][C]1[/C][/ROW]
[ROW][C]170[/C][C]7.55022258692198e-40[/C][C]1.5100445173844e-39[/C][C]1[/C][/ROW]
[ROW][C]171[/C][C]3.01918532336948e-40[/C][C]6.03837064673896e-40[/C][C]1[/C][/ROW]
[ROW][C]172[/C][C]1.00003465273872e-40[/C][C]2.00006930547743e-40[/C][C]1[/C][/ROW]
[ROW][C]173[/C][C]3.3204126994683e-41[/C][C]6.6408253989366e-41[/C][C]1[/C][/ROW]
[ROW][C]174[/C][C]1.12392227938502e-41[/C][C]2.24784455877005e-41[/C][C]1[/C][/ROW]
[ROW][C]175[/C][C]3.8665910563028e-42[/C][C]7.7331821126056e-42[/C][C]1[/C][/ROW]
[ROW][C]176[/C][C]1.36090943528294e-42[/C][C]2.72181887056589e-42[/C][C]1[/C][/ROW]
[ROW][C]177[/C][C]5.10813721005016e-43[/C][C]1.02162744201003e-42[/C][C]1[/C][/ROW]
[ROW][C]178[/C][C]1.76634752614893e-43[/C][C]3.53269505229785e-43[/C][C]1[/C][/ROW]
[ROW][C]179[/C][C]6.21469885329402e-44[/C][C]1.2429397706588e-43[/C][C]1[/C][/ROW]
[ROW][C]180[/C][C]2.27670290605293e-44[/C][C]4.55340581210585e-44[/C][C]1[/C][/ROW]
[ROW][C]181[/C][C]8.25265081296136e-45[/C][C]1.65053016259227e-44[/C][C]1[/C][/ROW]
[ROW][C]182[/C][C]4.73380031676591e-45[/C][C]9.46760063353182e-45[/C][C]1[/C][/ROW]
[ROW][C]183[/C][C]3.31034905059167e-45[/C][C]6.62069810118334e-45[/C][C]1[/C][/ROW]
[ROW][C]184[/C][C]2.40361976868107e-45[/C][C]4.80723953736214e-45[/C][C]1[/C][/ROW]
[ROW][C]185[/C][C]2.21653813938906e-45[/C][C]4.43307627877812e-45[/C][C]1[/C][/ROW]
[ROW][C]186[/C][C]1.99731013147986e-45[/C][C]3.99462026295972e-45[/C][C]1[/C][/ROW]
[ROW][C]187[/C][C]6.33382158081683e-45[/C][C]1.26676431616337e-44[/C][C]1[/C][/ROW]
[ROW][C]188[/C][C]5.35194732519584e-44[/C][C]1.07038946503917e-43[/C][C]1[/C][/ROW]
[ROW][C]189[/C][C]2.70843690865421e-43[/C][C]5.41687381730843e-43[/C][C]1[/C][/ROW]
[ROW][C]190[/C][C]1.04510607126429e-42[/C][C]2.09021214252858e-42[/C][C]1[/C][/ROW]
[ROW][C]191[/C][C]2.41517569306782e-42[/C][C]4.83035138613564e-42[/C][C]1[/C][/ROW]
[ROW][C]192[/C][C]4.98526250395691e-42[/C][C]9.97052500791382e-42[/C][C]1[/C][/ROW]
[ROW][C]193[/C][C]9.67538079348761e-42[/C][C]1.93507615869752e-41[/C][C]1[/C][/ROW]
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[ROW][C]237[/C][C]6.63123796308746e-27[/C][C]1.32624759261749e-26[/C][C]1[/C][/ROW]
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[ROW][C]243[/C][C]1.16367703195357e-06[/C][C]2.32735406390714e-06[/C][C]0.999998836322968[/C][/ROW]
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[ROW][C]341[/C][C]0.987053800799715[/C][C]0.0258923984005707[/C][C]0.0129461992002854[/C][/ROW]
[ROW][C]342[/C][C]0.98214597605358[/C][C]0.0357080478928402[/C][C]0.0178540239464201[/C][/ROW]
[ROW][C]343[/C][C]0.976909315516677[/C][C]0.0461813689666457[/C][C]0.0230906844833229[/C][/ROW]
[ROW][C]344[/C][C]0.962264657507785[/C][C]0.0754706849844297[/C][C]0.0377353424922149[/C][/ROW]
[ROW][C]345[/C][C]0.963730297910266[/C][C]0.0725394041794682[/C][C]0.0362697020897341[/C][/ROW]
[ROW][C]346[/C][C]0.94185354488989[/C][C]0.11629291022022[/C][C]0.0581464551101098[/C][/ROW]
[ROW][C]347[/C][C]0.909108486861675[/C][C]0.181783026276651[/C][C]0.0908915131383254[/C][/ROW]
[ROW][C]348[/C][C]0.865892959786088[/C][C]0.268214080427823[/C][C]0.134107040213911[/C][/ROW]
[ROW][C]349[/C][C]0.929243367585089[/C][C]0.141513264829821[/C][C]0.0707566324149106[/C][/ROW]
[ROW][C]350[/C][C]0.971355200791128[/C][C]0.0572895984177449[/C][C]0.0286447992088724[/C][/ROW]
[ROW][C]351[/C][C]0.960494465919339[/C][C]0.0790110681613212[/C][C]0.0395055340806606[/C][/ROW]
[ROW][C]352[/C][C]0.967303922853279[/C][C]0.0653921542934414[/C][C]0.0326960771467207[/C][/ROW]
[ROW][C]353[/C][C]0.933331119568571[/C][C]0.133337760862858[/C][C]0.0666688804314288[/C][/ROW]
[ROW][C]354[/C][C]0.855441533490903[/C][C]0.289116933018195[/C][C]0.144558466509097[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=144181&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=144181&T=5

As an alternative you can also use a QR Code:  

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

Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
60.001838652993336420.003677305986672840.998161347006664
70.0001672869408948220.0003345738817896440.999832713059105
81.96306162886165e-053.92612325772331e-050.999980369383711
92.69294940133285e-065.38589880266571e-060.999997307050599
103.41722899813938e-076.83445799627876e-070.9999996582771
113.65414010547009e-087.30828021094018e-080.999999963458599
123.86260933810568e-097.72521867621136e-090.999999996137391
134.41822685045396e-108.83645370090793e-100.999999999558177
144.10692166165807e-118.21384332331614e-110.999999999958931
153.70677888650063e-127.41355777300126e-120.999999999996293
162.84176755957145e-135.68353511914291e-130.999999999999716
172.07511302609706e-144.15022605219412e-140.999999999999979
181.43538413084236e-152.87076826168472e-150.999999999999999
199.59909881932816e-171.91981976386563e-161
206.71252990582156e-181.34250598116431e-171
214.24788367808177e-198.49576735616354e-191
223.93341396444855e-207.8668279288971e-201
237.12971898811025e-211.42594379762205e-201
241.99494663245671e-213.98989326491341e-211
255.93758058297187e-221.18751611659437e-211
261.07107307386128e-212.14214614772256e-211
274.38481406745259e-148.76962813490518e-140.999999999999956
282.53035858013932e-125.06071716027864e-120.99999999999747
294.04460794946152e-128.08921589892304e-120.999999999995955
301.06257989360539e-122.12515978721078e-120.999999999998937
312.48725608036259e-134.97451216072518e-130.999999999999751
325.95407221467121e-141.19081444293424e-130.99999999999994
333.04451685257978e-146.08903370515956e-140.99999999999997
342.19420300175656e-144.38840600351311e-140.999999999999978
351.9085058522566e-143.81701170451319e-140.999999999999981
361.62599334080939e-143.25198668161879e-140.999999999999984
371.68521735184528e-143.37043470369056e-140.999999999999983
388.06794325924481e-151.61358865184896e-140.999999999999992
393.4920428335025e-156.984085667005e-150.999999999999997
404.81072724368583e-159.62145448737165e-150.999999999999995
412.93696991910836e-155.87393983821673e-150.999999999999997
421.20835721298687e-152.41671442597374e-150.999999999999999
433.71915308899389e-167.43830617798777e-161
441.05534102342502e-162.11068204685003e-161
452.96175911345293e-175.92351822690585e-171
467.83368190483427e-181.56673638096685e-171
472.0609585463192e-184.1219170926384e-181
481.27733010584223e-182.55466021168445e-181
496.74563766258003e-191.34912753251601e-181
503.8296887155583e-197.6593774311166e-191
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526.79381535506233e-201.35876307101247e-191
532.23234909112231e-204.46469818224463e-201
546.21555382953874e-211.24311076590775e-201
551.65996588929687e-213.31993177859373e-211
564.40680623304187e-228.81361246608375e-221
571.22772534811878e-222.45545069623756e-221
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601.79841482206778e-233.59682964413555e-231
616.04533538842114e-241.20906707768423e-231
621.56675872798453e-243.13351745596906e-241
637.07302966216791e-251.41460593243358e-241
642.96937623472527e-255.93875246945055e-251
659.29355266754055e-261.85871053350811e-251
662.53199697359254e-265.06399394718508e-261
676.66559382135193e-271.33311876427039e-261
681.78868842617205e-273.57737685234411e-271
695.21752647598435e-281.04350529519687e-271
703.9377288216874e-287.8754576433748e-281
711.5828567863187e-283.1657135726374e-281
724.56334538249784e-299.12669076499568e-291
731.22979984185683e-292.45959968371366e-291
743.71330109447383e-307.42660218894767e-301
751.51249625283963e-303.02499250567925e-301
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771.20395228745432e-312.40790457490863e-311
784.18528394843127e-328.37056789686254e-321
791.97764579300562e-323.95529158601124e-321
801.60513324285376e-323.21026648570753e-321
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821.52049929582211e-333.04099859164422e-331
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841.86791483581757e-343.73582967163513e-341
858.31727314775567e-351.66345462955113e-341
866.76359706675071e-351.35271941335014e-341
876.73747544688478e-351.34749508937696e-341
885.78605334152153e-351.15721066830431e-341
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953.39537339527014e-356.79074679054029e-351
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1004.25879844784226e-358.51759689568453e-351
1013.4897656951268e-346.97953139025359e-341
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1051.95251607749465e-323.9050321549893e-321
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1101.18720290216928e-322.37440580433856e-321
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1128.6910751737008e-271.73821503474016e-261
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1301.17145793941161e-252.34291587882323e-251
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1707.55022258692198e-401.5100445173844e-391
1713.01918532336948e-406.03837064673896e-401
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1741.12392227938502e-412.24784455877005e-411
1753.8665910563028e-427.7331821126056e-421
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1775.10813721005016e-431.02162744201003e-421
1781.76634752614893e-433.53269505229785e-431
1796.21469885329402e-441.2429397706588e-431
1802.27670290605293e-444.55340581210585e-441
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1824.73380031676591e-459.46760063353182e-451
1833.31034905059167e-456.62069810118334e-451
1842.40361976868107e-454.80723953736214e-451
1852.21653813938906e-454.43307627877812e-451
1861.99731013147986e-453.99462026295972e-451
1876.33382158081683e-451.26676431616337e-441
1885.35194732519584e-441.07038946503917e-431
1892.70843690865421e-435.41687381730843e-431
1901.04510607126429e-422.09021214252858e-421
1912.41517569306782e-424.83035138613564e-421
1924.98526250395691e-429.97052500791382e-421
1939.67538079348761e-421.93507615869752e-411
1942.96741235875746e-415.93482471751492e-411
1959.34216922422658e-411.86843384484532e-401
1961.22198381006341e-402.44396762012681e-401
1971.54484158989791e-403.08968317979582e-401
1982.32826749235997e-404.65653498471994e-401
1993.91901735957144e-407.83803471914287e-401
2001.63102194589776e-403.26204389179552e-401
2016.92147254556363e-411.38429450911273e-401
2022.77213307458509e-415.54426614917018e-411
2031.13190184690407e-412.26380369380813e-411
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2052.74870871615675e-425.49741743231349e-421
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2071.99230271046505e-403.98460542093009e-401
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2107.43535082600387e-351.48707016520077e-341
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2182.53941262801573e-295.07882525603145e-291
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2206.17627980404332e-291.23525596080866e-281
2211.26792510640402e-282.53585021280804e-281
2221.56411156827089e-283.12822313654177e-281
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2241.57924357562557e-283.15848715125115e-281
2251.44502821321092e-282.89005642642184e-281
2261.06132662378063e-282.12265324756125e-281
2277.3336106912689e-291.46672213825378e-281
2284.86754061469205e-299.73508122938409e-291
2292.5001612563316e-295.00032251266319e-291
2301.41625911145201e-292.83251822290401e-291
2318.00579666262272e-301.60115933252454e-291
2323.97062823754624e-307.94125647509248e-301
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2364.19533551866183e-298.39067103732366e-291
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2401.01138649274957e-202.02277298549913e-201
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2429.11726254046754e-171.82345250809351e-161
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2550.8195036560134020.3609926879731970.180496343986598
2560.8026409336897090.3947181326205830.197359066310291
2570.7793233246427120.4413533507145760.220676675357288
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2600.7064308333025610.5871383333948770.293569166697439
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2620.6621243417469940.6757513165060120.337875658253006
2630.6782118545895120.6435762908209760.321788145410488
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2650.7610884755798760.4778230488402480.238911524420124
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2680.8236461828894410.3527076342211190.176353817110559
2690.8279139087691340.3441721824617330.172086091230866
2700.8543425434570060.2913149130859890.145657456542994
2710.8574576898596810.2850846202806380.142542310140319
2720.8532165409759290.2935669180481410.146783459024071
2730.8454739707947140.3090520584105730.154526029205286
2740.8313100123577760.3373799752844480.168689987642224
2750.8684136518387410.2631726963225180.131586348161259
2760.9617525393894240.07649492122115230.0382474606105762
2770.9660250392707830.06794992145843380.0339749607292169
2780.9604922395908930.07901552081821490.0395077604091075
2790.9553741203790830.08925175924183360.0446258796209168
2800.9494133902836170.1011732194327660.0505866097163831
2810.9440038613121780.1119922773756440.0559961386878221
2820.9388878309479790.1222243381040410.0611121690520205
2830.9326921566131260.1346156867737490.0673078433868743
2840.9260484957458290.1479030085083430.0739515042541713
2850.9194727932576920.1610544134846160.0805272067423081
2860.9142532014269430.1714935971461140.0857467985730571
2870.9185342607274350.1629314785451290.0814657392725647
2880.9244654683779840.1510690632440310.0755345316220157
2890.9242516016851110.1514967966297780.075748398314889
2900.9190091782928320.1619816434143360.0809908217071682
2910.9131918521187740.1736162957624530.0868081478812263
2920.9151748602151480.1696502795697040.0848251397848522
2930.9328756057506160.1342487884987680.067124394249384
2940.928262476696440.143475046607120.0717375233035599
2950.9239493061761460.1521013876477090.0760506938238544
2960.9217868634330460.1564262731339080.0782131365669538
2970.9223795649670870.1552408700658260.0776204350329131
2980.9162770560970920.1674458878058160.0837229439029082
2990.9130355546403390.1739288907193220.0869644453596608
3000.911718328774120.1765633424517610.0882816712258805
3010.9136948213019310.1726103573961370.0863051786980686
3020.9118915378019030.1762169243961940.0881084621980968
3030.9329842801079890.1340314397840220.0670157198920112
3040.9529775627982630.09404487440347470.0470224372017373
3050.955910190787060.08817961842587930.0440898092129396
3060.9573035572848960.08539288543020710.0426964427151036
3070.9515014165043970.09699716699120680.0484985834956034
3080.9442361572384370.1115276855231270.0557638427615635
3090.9375448542316230.1249102915367540.062455145768377
3100.9303522837847650.1392954324304710.0696477162152354
3110.9276603182397480.1446793635205050.0723396817602524
3120.9148574167071580.1702851665856840.0851425832928419
3130.9009744552335920.1980510895328150.0990255447664077
3140.8837728851064710.2324542297870580.116227114893529
3150.8654085991947140.2691828016105710.134591400805286
3160.8442735206490180.3114529587019640.155726479350982
3170.8172407851524740.3655184296950530.182759214847526
3180.7946245361875640.4107509276248720.205375463812436
3190.7626313267432280.4747373465135440.237368673256772
3200.7387614659302650.522477068139470.261238534069735
3210.7174588904414090.5650822191171820.282541109558591
3220.6987594273936950.602481145212610.301240572606305
3230.6776704495114320.6446591009771360.322329550488568
3240.6712516732197560.6574966535604880.328748326780244
3250.6364787763806010.7270424472387970.363521223619399
3260.6022618639122660.7954762721754680.397738136087734
3270.570496426590210.8590071468195790.42950357340979
3280.5618139283156050.8763721433687910.438186071684395
3290.5433511782480790.9132976435038420.456648821751921
3300.4968028525203270.9936057050406540.503197147479673
3310.5627409098759660.8745181802480670.437259090124034
3320.6704826849263490.6590346301473020.329517315073651
3330.7297453905571660.5405092188856680.270254609442834
3340.8557748869705090.2884502260589820.144225113029491
3350.9264776134571750.147044773085650.0735223865428252
3360.9641871891937870.07162562161242620.0358128108062131
3370.9876326149050560.02473477018988820.0123673850949441
3380.993963827844130.01207234431173990.00603617215586994
3390.9919299516346010.01614009673079730.00807004836539864
3400.9886290897796880.0227418204406240.011370910220312
3410.9870538007997150.02589239840057070.0129461992002854
3420.982145976053580.03570804789284020.0178540239464201
3430.9769093155166770.04618136896664570.0230906844833229
3440.9622646575077850.07547068498442970.0377353424922149
3450.9637302979102660.07253940417946820.0362697020897341
3460.941853544889890.116292910220220.0581464551101098
3470.9091084868616750.1817830262766510.0908915131383254
3480.8658929597860880.2682140804278230.134107040213911
3490.9292433675850890.1415132648298210.0707566324149106
3500.9713552007911280.05728959841774490.0286447992088724
3510.9604944659193390.07901106816132120.0395055340806606
3520.9673039228532790.06539215429344140.0326960771467207
3530.9333311195685710.1333377608628580.0666688804314288
3540.8554415334909030.2891169330181950.144558466509097







Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level2390.684813753581662NOK
5% type I error level2460.70487106017192NOK
10% type I error level2600.744985673352435NOK

\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 & 239 & 0.684813753581662 & NOK \tabularnewline
5% type I error level & 246 & 0.70487106017192 & NOK \tabularnewline
10% type I error level & 260 & 0.744985673352435 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=144181&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]239[/C][C]0.684813753581662[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]246[/C][C]0.70487106017192[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]260[/C][C]0.744985673352435[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=144181&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=144181&T=6

As an alternative you can also use a QR Code:  

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

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level2390.684813753581662NOK
5% type I error level2460.70487106017192NOK
10% type I error level2600.744985673352435NOK



Parameters (Session):
par1 = 12 ;
Parameters (R input):
par1 = 1 ; par2 = Do not include Seasonal Dummies ; par3 = 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')
}