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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 computationThu, 11 Nov 2010 15:46:50 +0000
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2010/Nov/11/t12894903885ros3ggieouwddu.htm/, Retrieved Thu, 28 Mar 2024 13:55:13 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=93490, Retrieved Thu, 28 Mar 2024 13:55:13 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact224
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Multiple Regression] [ws 6 - Multiple R...] [2010-11-11 15:39:58] [603e2f5305d3a2a4e062624458fa1155]
-   PD    [Multiple Regression] [ws 6 - Multiple R...] [2010-11-11 15:46:50] [0829c729852d8a4b1b0c41cf0848af95] [Current]
-   PD      [Multiple Regression] [ws 6 - Multiple R...] [2010-11-11 15:52:27] [603e2f5305d3a2a4e062624458fa1155]
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Dataseries X:
87,28	255,00
87,28	280,20
87,09	299,90
86,92	339,20
87,59	374,20
90,72	393,50
90,69	389,20
90,30	381,70
89,55	375,20
88,94	369,00
88,41	357,40
87,82	352,10
87,07	346,50
86,82	342,90
86,40	340,30
86,02	328,30
85,66	322,90
85,32	314,30
85,00	308,90
84,67	294,00
83,94	285,60
82,83	281,20
81,95	280,30
81,19	278,80
80,48	274,50
78,86	270,40
69,47	263,40
68,77	259,90
70,06	258,00
73,95	262,70
75,80	284,70
77,79	311,30
81,57	322,10
83,07	327,00
84,34	331,30
85,10	333,30
85,25	321,40
84,26	327,00
83,63	320,00
86,44	314,70
85,30	316,70
84,10	314,40
83,36	321,30
82,48	318,20
81,58	307,20
80,47	301,30
79,34	287,50
82,13	277,70
81,69	274,40
80,70	258,80
79,88	253,30
79,16	251,00
78,38	248,40
77,42	249,50
76,47	246,10
75,46	244,50
74,48	243,60
78,27	244,00
80,70	240,80
79,91	249,80
78,75	248,00
77,78	259,40
81,14	260,50
81,08	260,80
80,03	261,30
78,91	259,50
78,01	256,60
76,90	257,90
75,97	256,50
81,93	254,20
80,27	253,30
78,67	253,80
77,42	255,50
76,16	257,10
74,70	257,30
76,39	253,20
76,04	252,80
74,65	252,00
73,29	250,70
71,79	252,20
74,39	250,00
74,91	251,00
74,54	253,40
73,08	251,20
72,75	255,60
71,32	261,10
70,38	258,90
70,35	259,90
70,01	261,20
69,36	264,70
67,77	267,10
69,26	266,40
69,80	267,70
68,38	268,60
67,62	267,50
68,39	268,50
66,95	268,50
65,21	270,50
66,64	270,90
63,45	270,10
60,66	269,30
62,34	269,80
60,32	270,10
58,64	264,90
60,46	263,70
58,59	264,80
61,87	263,70
61,85	255,90
67,44	276,20
77,06	360,10
91,74	380,50
93,15	373,70
94,15	369,80
93,11	366,60
91,51	359,30
89,96	345,80
88,16	326,20
86,98	324,50
88,03	328,10
86,24	327,50
84,65	324,40
83,23	316,50
81,70	310,90
80,25	301,50
78,80	291,70
77,51	290,40
76,20	287,40
75,04	277,70
74,00	281,60
75,49	288,00
77,14	276,00
76,15	272,90
76,27	283,00
78,19	283,30
76,49	276,80
77,31	284,50
76,65	282,70
74,99	281,20
73,51	287,40
72,07	283,10
70,59	284,00
71,96	285,50
76,29	289,20
74,86	292,50
74,93	296,40
71,90	305,20
71,01	303,90
77,47	311,50
75,78	316,30
76,60	316,70
76,07	322,50
74,57	317,10
73,02	309,80
72,65	303,80
73,16	290,30
71,53	293,70
69,78	291,70
67,98	296,50
69,96	289,10
72,16	288,50
70,47	293,80
68,86	297,70
67,37	305,40
65,87	302,70
72,16	302,50
71,34	303,00
69,93	294,50
68,44	294,10
67,16	294,50
66,01	297,10
67,25	289,40
70,91	292,40
69,75	287,90
68,59	286,60
67,48	280,50
66,31	272,40
64,81	269,20
66,58	270,60
65,97	267,30
64,70	262,50
64,70	266,80
60,94	268,80
59,08	263,10
58,42	261,20
57,77	266,00
57,11	262,50
53,31	265,20
49,96	261,30
49,40	253,70
48,84	249,20
48,30	239,10
47,74	236,40
47,24	235,20
46,76	245,20
46,29	246,20
48,90	247,70
49,23	251,40
48,53	253,30
48,03	254,80
54,34	250,00
53,79	249,30
53,24	241,50
52,96	243,30
52,17	248,00
51,70	253,00
58,55	252,90
78,20	251,50
77,03	251,60
76,19	253,50
77,15	259,80
75,87	334,10
95,47	448,00
109,67	445,80
112,28	445,00
112,01	448,20
107,93	438,20
105,96	439,80
105,06	423,40
102,98	410,80
102,20	408,40
105,23	406,70
101,85	405,90
99,89	402,70
96,23	405,10
94,76	399,60
91,51	386,50
91,63	381,40
91,54	375,20
85,23	357,70
87,83	359,00
87,38	355,00
84,44	352,70
85,19	344,40
84,03	343,80
86,73	338,00
102,52	339,00
104,45	333,30
106,98	334,40
107,02	328,30
99,26	330,70
94,45	330,00
113,44	331,60
157,33	351,20
147,38	389,40
171,89	410,90
171,95	442,80
132,71	462,80
126,02	466,90
121,18	461,70
115,45	439,20
110,48	430,30
117,85	416,10
117,63	402,50
124,65	397,30
109,59	403,30
111,27	395,90
99,78	387,80
98,21	378,60
99,20	377,10
97,97	370,40
89,55	362,00
87,91	350,30
93,34	348,20
94,42	344,60
93,20	343,50
90,29	342,80
91,46	347,60
89,98	346,60
88,35	349,50
88,41	342,10
82,44	342,00
79,89	342,80
75,69	339,30
75,66	348,20
84,50	333,70
96,73	334,70
87,48	354,00
82,39	367,70
83,48	363,30
79,31	358,40
78,16	353,10
72,77	343,10
72,45	344,60
68,46	344,40
67,62	333,90
68,76	331,70
70,07	324,30
68,55	321,20
65,30	322,40
58,96	321,70
59,17	320,50
62,37	312,80
66,28	309,70
55,62	315,60
55,23	309,70
55,85	304,60
56,75	302,50
50,89	301,50
53,88	298,80
52,95	291,30
55,08	293,60
53,61	294,60
58,78	285,90
61,85	297,60
55,91	301,10
53,32	293,80
46,41	297,70
44,57	292,90
50,00	292,10
50,00	287,20
53,36	288,20
46,23	283,80
50,45	299,90
49,07	292,40
45,85	293,30
48,45	300,80
49,96	293,70
46,53	293,10
50,51	294,40
47,58	292,10
48,05	291,90
46,84	282,50
47,67	277,90
49,16	287,50
55,54	289,20
55,82	285,60
58,22	293,20
56,19	290,80
57,77	283,10
63,19	275,00
54,76	287,80
55,74	287,80
62,54	287,40
61,39	284,00
69,60	277,80
79,23	277,60
80,00	304,90
93,68	294,00
107,63	300,90
100,18	324,00
97,30	332,90
90,45	341,60
80,64	333,40
80,58	348,20
75,82	344,70
85,59	344,70
89,35	329,30
89,42	323,50
104,73	323,20
95,32	317,40
89,27	330,10
90,44	329,20
86,97	334,90
79,98	315,80
81,22	315,40
87,35	319,60
83,64	317,30
82,22	313,80
94,40	315,80
102,18	311,30




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time11 seconds
R Server'George Udny Yule' @ 72.249.76.132

\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 & 11 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=93490&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]11 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=93490&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=93490&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 time11 seconds
R Server'George Udny Yule' @ 72.249.76.132







Multiple Linear Regression - Estimated Regression Equation
USA[t] = + 135.698187089792 + 1.88117003420920Colombia[t] + 0.148421997798835t + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
USA[t] =  +  135.698187089792 +  1.88117003420920Colombia[t] +  0.148421997798835t  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=93490&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]USA[t] =  +  135.698187089792 +  1.88117003420920Colombia[t] +  0.148421997798835t  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=93490&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=93490&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
USA[t] = + 135.698187089792 + 1.88117003420920Colombia[t] + 0.148421997798835t + e[t]







Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)135.6981870897927.62888417.787400
Colombia1.881170034209200.08705721.608500
t0.1484219977988350.015779.411600

\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) & 135.698187089792 & 7.628884 & 17.7874 & 0 & 0 \tabularnewline
Colombia & 1.88117003420920 & 0.087057 & 21.6085 & 0 & 0 \tabularnewline
t & 0.148421997798835 & 0.01577 & 9.4116 & 0 & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=93490&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]135.698187089792[/C][C]7.628884[/C][C]17.7874[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]Colombia[/C][C]1.88117003420920[/C][C]0.087057[/C][C]21.6085[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]t[/C][C]0.148421997798835[/C][C]0.01577[/C][C]9.4116[/C][C]0[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=93490&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=93490&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)135.6981870897927.62888417.787400
Colombia1.881170034209200.08705721.608500
t0.1484219977988350.015779.411600







Multiple Linear Regression - Regression Statistics
Multiple R0.775073512463965
R-squared0.600738949723228
Adjusted R-squared0.598502193139044
F-TEST (value)268.575916562014
F-TEST (DF numerator)2
F-TEST (DF denominator)357
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation31.059259765033
Sum Squared Residuals344389.909323192

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.775073512463965 \tabularnewline
R-squared & 0.600738949723228 \tabularnewline
Adjusted R-squared & 0.598502193139044 \tabularnewline
F-TEST (value) & 268.575916562014 \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 & 31.059259765033 \tabularnewline
Sum Squared Residuals & 344389.909323192 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=93490&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.775073512463965[/C][/ROW]
[ROW][C]R-squared[/C][C]0.600738949723228[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.598502193139044[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]268.575916562014[/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]31.059259765033[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]344389.909323192[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=93490&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=93490&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 R0.775073512463965
R-squared0.600738949723228
Adjusted R-squared0.598502193139044
F-TEST (value)268.575916562014
F-TEST (DF numerator)2
F-TEST (DF denominator)357
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation31.059259765033
Sum Squared Residuals344389.909323192







Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
1255300.035129673362-45.0351296733621
2280.2300.183551671168-19.9835516711679
3299.9299.974551362467-0.0745513624672363
4339.2299.80317445445139.3968255455493
5374.2301.2119803751772.9880196248303
6393.5307.24846458004386.2515354199567
7389.2307.34045147681681.8595485231842
8381.7306.75521716127374.944782838727
9375.2305.49276163341569.707238366585
10369304.49366991034664.5063300896538
11357.4303.64507179001453.7549282099858
12352.1302.68360346763049.4163965323704
13346.5301.42114793977245.0788520602285
14342.9301.09927742901841.8007225709819
15340.3300.45760801244939.8423919875509
16328.3299.89118539724828.4088146027516
17322.9299.36238618273223.5376138172681
18314.3298.87121036890015.4287896311004
19308.9298.41765795575210.4823420442484
20294297.945293842261-3.94529384226133
21285.6296.720461715087-11.1204617150874
22281.2294.780784974914-13.5807849749141
23280.3293.273777342609-12.9737773426088
24278.8291.992510114409-13.1925101144087
25274.5290.805301387919-16.3053013879190
26270.4287.906227930299-17.5062279302989
27263.4270.390463306873-6.99046330687342
28259.9269.222066280726-9.32206628072581
29258271.797197622654-13.7971976226545
30262.7279.263371053527-16.5633710535271
31284.7282.8919576146131.80804238538704
32311.3286.78390798048824.5160920195119
33322.1294.04315270759828.0568472924024
34327297.0133297567129.9866702432897
35331.3299.55083769795531.7491623020452
36333.3301.12894892175332.1710510782474
37321.4301.55954642468319.8404535753171
38327299.84561008861527.1543899113854
39320298.80889496486221.1911050351384
40314.7304.24340475878810.4565952412117
41316.7302.24729291758914.4527070824113
42314.4300.13831087433614.2616891256635
43321.3298.89466704682022.4053329531795
44318.2297.38765941451520.8123405854848
45307.2295.84302838152611.3569716184742
46301.3293.9033516413527.3966483586476
47287.5291.926051500495-4.42605150049486
48277.7297.322937893737-19.6229378937373
49274.4296.643645076484-22.2436450764842
50258.8294.929708740416-36.1297087404159
51253.3293.535571310163-40.2355713101631
52251292.329550883331-41.3295508833314
53248.4291.010660254447-42.610660254447
54249.5289.353159019405-39.8531590194050
55246.1287.714469484705-41.6144694847051
56244.5285.962909747953-41.4629097479527
57243.6284.267785112227-40.6677851122265
58244291.545841539678-47.5458415396782
59240.8296.265506720605-55.4655067206054
60249.8294.927804391379-45.1278043913789
61248292.894069149495-44.8940691494951
62259.4291.217756214111-31.8177562141111
63260.5297.686909526853-37.1869095268528
64260.8297.722461322599-36.922461322599
65261.3295.895654784478-34.5956547844782
66259.5293.937166343963-34.4371663439628
67256.6292.392535310973-35.7925353109733
68257.9290.4528585708-32.5528585708
69256.5288.851792436784-32.3517924367842
70254.2300.21198783847-46.0119878384699
71253.3297.237667579481-43.9376675794814
72253.8294.376217522546-40.5762175225455
73255.5292.173176977583-36.6731769775829
74257.1289.951324732278-32.8513247322781
75257.3287.353238480132-30.0532384801316
76253.2290.680837835744-37.4808378357439
77252.8290.170850321570-37.3708503215696
78252287.704445971818-35.7044459718176
79250.7285.294476723092-34.5944767230920
80252.2282.621143669577-30.421143669577
81250287.66060775632-37.6606077563197
82251288.787238171907-37.7872381719073
83253.4288.239627257049-34.8396272570488
84251.2285.641541004902-34.4415410049022
85255.6285.169176891412-29.569176891412
86261.1282.627525740292-21.5275257402916
87258.9281.007647905934-22.1076479059339
88259.9281.099634802706-21.1996348027064
89261.2280.608458988874-19.4084589888741
90264.7279.534120464437-14.8341204644370
91267.1276.691482107843-9.59148210784316
92266.4279.642847456614-13.2428474566138
93267.7280.807101272886-13.1071012728855
94268.6278.284261822107-9.68426182210727
95267.5277.002994593907-9.50299459390716
96268.5278.599917518047-10.0999175180471
97268.5276.039454666585-7.53945466658466
98270.5272.914640804859-2.41464080485948
99270.9275.753135951577-4.8531359515775
100270.1269.9006255402490.199374459751041
101269.3264.8005831426044.49941685739586
102269.8268.1093707978741.69062920212556
103270.1264.4578293265715.64217067342932
104264.9261.4458856668983.45411433310189
105263.7265.018037126958-1.31803712695767
106264.8261.6486711607853.15132883921470
107263.7267.967330870790-4.2673308707903
108255.9268.078129467905-12.1781294679049
109276.2278.742291956933-2.54229195693319
110360.1296.98756968382463.1124303161756
111380.5324.75156778381455.7484322161857
112373.7327.55243952984846.1475604701519
113369.8329.58203156185640.2179684381439
114366.6327.77403672407738.8259632759226
115359.3324.91258666714234.3874133328585
116345.8322.14519511191623.6548048880839
117326.2318.9075110481387.29248895186161
118324.5316.8361524055707.66384759442962
119328.1318.9598029392899.14019706071116
120327.5315.74093057585311.7590694241468
121324.4312.89829221925911.5017077807405
122316.5310.3754527684816.12454723151876
123310.9307.645684613943.25431538605998
124301.5305.066410062136-3.56641006213549
125291.7302.487135510331-10.787135510331
126290.4300.208848164-9.808848164
127287.4297.892937416985-10.4929374169848
128277.7295.859202175101-18.1592021751009
129281.6294.051207337322-12.4512073373222
130288297.002572686093-9.00257268609272
131276300.254925240337-24.2549252403367
132272.9298.540988904268-25.6409889042685
133283298.915151306172-15.9151513061724
134283.3302.675419769653-19.3754197696529
135276.8299.625852709296-22.8258527092961
136284.5301.316834135147-16.8168341351465
137282.7300.223683910367-17.5236839103673
138281.2297.249363651379-16.0493636513788
139287.4294.613653998548-7.21365399854807
140283.1292.053191147086-8.9531911470856
141284289.417481494255-5.41748149425486
142285.5292.14310643892-6.64310643892028
143289.2300.436994684845-11.2369946848450
144292.5297.895343533725-5.39534353372463
145296.4298.175447433918-1.77544743391814
146305.2292.62392422806312.5760757719369
147303.9291.09810489541612.8018951045842
148311.5303.3988853142068.10111468579404
149316.3300.36812995419115.9318700458087
150316.7302.05911138004214.6408886199584
151322.5301.21051325971021.2894867402904
152317.1298.53718020619518.5628197938054
153309.8295.76978865096914.0302113490308
154303.8295.2221777361118.57782226388935
155290.3296.329996451356-6.02999645135616
156293.7293.4121112933940.287888706605963
157291.7290.2684857313271.43151426867322
158296.5287.0308016675499.46919833245094
159289.1290.903940333082-1.80394033308205
160288.5295.190936406141-6.69093640614115
161293.8292.1601810461261.63981895387357
162297.7289.2799192888488.42008071115151
163305.4286.62539793567618.7746020643244
164302.7283.95206488216118.7479351178393
165302.5295.9330463951356.56695360486468
166303294.5389089648838.46109103511737
167294.5292.0348812144472.46511878555350
168294.1289.3803598612744.7196401387264
169294.5287.1208842152857.37911578471531
170297.1285.10596067374311.9940393262571
171289.4287.5870335139611.81296648603879
172292.4294.620537836966-2.22053783696569
173287.9292.586802595082-4.68680259508187
174286.6290.553067353198-3.953067353198
175280.5288.613390613025-8.11339061302465
176272.4286.560843670799-14.1608436707987
177269.2283.887510617284-14.6875106172838
178270.6287.365603575633-16.7656035756328
179267.3286.366511852564-19.0665118525641
180262.5284.125847906917-21.6258479069173
181266.8284.274269904716-17.4742699047161
182268.8277.349492573888-8.54949257388833
183263.1273.998938308058-10.8989383080581
184261.2272.905788083279-11.7057880832789
185266271.831449558842-5.83144955884171
186262.5270.738299334062-8.23829933406247
187265.2263.7382752018661.46172479813363
188261.3257.5847775850643.71522241493562
189253.7256.679744363706-2.97974436370608
190249.2255.774711142348-6.57471114234778
191239.1254.907301321674-15.8073013216736
192236.4254.002268100315-17.6022681003153
193235.2253.210105081010-18.0101050810096
194245.2252.455565462388-7.25556546238798
195246.2251.719837544108-5.5198375441085
196247.7256.778113331193-9.07811333119333
197251.4257.547321440281-6.14732144028118
198253.3256.378924414134-3.07892441413358
199254.8255.586761394828-0.786761394827808
200250267.605366308487-17.6053663084867
201249.3266.719144787470-17.4191447874705
202241.5265.832923266454-24.3329232664542
203243.3265.454617654675-22.1546176546745
204248264.116915325448-16.1169153254481
205253263.381187407169-10.3811874071686
206252.9276.415624139300-23.5156241393004
207251.5313.52903730931-62.02903730931
208251.6311.476490367084-59.876490367084
209253.5310.044729536147-56.5447295361471
210259.8311.999074766787-52.1990747667868
211334.1309.73959912079824.3604008792022
212448346.758953789097101.241046210903
213445.8373.61999027266672.1800097273337
214445378.67826605975166.3217339402489
215448.2378.31877214831369.8812278516865
216438.2370.79202040653967.4079795934612
217439.8367.23453743694672.5654625630545
218423.4365.68990640395657.7100935960439
219410.8361.925494730648.8745052694002
220408.4360.60660410171547.7933958982845
221406.7366.45497130316840.2450286968318
222405.9360.2450385853445.6549614146601
223402.7356.70636731608945.9936326839113
224405.1349.96970698868255.1302930113181
225399.6347.35280903619352.2471909638068
226386.5341.38742842281245.1125715771878
227381.4341.76159082471639.6384091752839
228375.2341.74070751943633.4592924805639
229357.7330.01894660137527.6810533986251
230359335.05841068811823.9415893118823
231355334.36030617052220.6396938294776
232352.7328.97808826774623.7219117322538
233344.4330.53738779120213.8626122087981
234343.8328.50365254931815.2963474506819
235338333.7312336394824.26876636051826
236339363.583330477444-24.5833304774438
237333.3367.362410641266-34.0624106412663
238334.4372.270192825614-37.8701928256145
239328.3372.493861624782-44.1938616247816
240330.7358.044404157117-27.3444041571171
241330349.14439829037-19.1443982903697
242331.6385.016239237801-53.4162392378012
243351.2467.729214037042-116.529214037042
244389.4449.159994194459-59.7599941944589
245410.9495.415893730725-84.5158937307251
246442.8495.677185930577-52.8771859305765
247462.8422.00849578600740.7915042139935
248466.9409.57189025494657.3281097450541
249461.7400.61544928717261.0845507128278
250439.2389.98476698895249.2152330110477
251430.3380.78377391673149.5162260832685
252416.1394.79641906665221.3035809333480
253402.5394.5309836569257.96901634307512
254397.3407.885219294872-10.5852192948723
255403.3379.70322057748123.5967794225194
256395.9383.01200823275112.8879917672491
257387.8361.54578653748626.2542134625139
258378.6358.74077158157619.8592284184235
259377.1360.75155191324216.3484480867576
260370.4358.58613476896411.8138652310360
261362342.89510507872119.1048949212786
262350.3339.95840822041710.3415917795829
263348.2350.321583503972-2.12158350397190
264344.6352.501669138717-7.90166913871663
265343.5350.35506369478-6.85506369478027
266342.8345.02928089303-2.22928089303035
267347.6347.3786718308540.2213281691461
268346.6344.7429621780231.85703782197685
269349.5341.8250770200617.674922979939
270342.1342.0863692199120.0136307800876341
271342331.00420611348210.9957938865177
272342.8326.35564452404816.4443554759523
273339.3318.60315237816820.6968476218321
274348.2318.69513927494129.5048607250595
275333.7335.473104375149-1.77310437514863
276334.7358.628235891326-23.9282358913259
277354341.3758350726912.6241649273103
278367.7331.94910159636435.7508984036363
279363.3334.14799893145129.1520010685494
280358.4326.45194188659731.9480581134029
281353.1324.43701834505528.6629816549447
282343.1314.44593385846728.6540661415334
283344.6313.99238144531830.6076185546815
284344.4306.63493500662337.7650649933774
285333.9305.20317417568628.6968258243142
286331.7307.49613001248324.2038699875169
287324.3310.10888475509614.1911152449041
288321.2307.39792830089713.8020716991032
289322.4301.43254768751620.9674523124842
290321.7289.65435166842832.0456483315717
291320.5290.19781937341130.3021806265889
292312.8296.36598548067916.4340145193207
293309.7303.8697823122365.83021768776388
294315.6283.96493174536531.6350682546351
295309.7283.37969742982226.3203025701778
296304.6284.69444484883119.9055551511693
297302.5286.53591987741815.9640801225822
298301.5275.66068547475125.8393145252492
299298.8281.43380587483517.3661941251649
300291.3279.83273974081911.4672602591806
301293.6283.9880539114849.61194608851624
302294.6281.37115595899513.2288440410049
303285.9291.245227033656-5.34522703365551
304297.6297.1688410364770.431158963523477
305301.1286.14311303107314.9568869689273
306293.8281.4193046402712.3806953597302
307297.7268.56884170168329.1311582983169
308292.9265.25591083653727.644089163463
309292.1275.61908612009216.4809138799083
310287.2275.76750811789111.4324918821094
311288.2282.2366614306325.96333856936767
312283.8268.97234108452014.8276589154804
313299.9277.05930062668122.8406993733187
314292.4274.61170797727117.7882920227286
315293.3268.70276246491724.5972375350834
316300.8273.74222655165927.0577734483407
317293.7276.73121530111416.9687846988859
318293.1270.42722408157522.6727759184247
319294.4278.06270281552716.3372971844732
320292.1272.69929661309319.4007033869073
321291.9273.7318685269718.1681314730301
322282.5271.60407478337610.8959252166244
323277.9273.3138679095684.58613209043196
324287.5276.26523325833911.2347667416614
325289.2288.4155200743920.78447992560794
326285.6289.090669681769-3.49066968176945
327293.2293.753899761670-0.553899761670378
328290.8290.0835465900250.71645340997548
329283.1293.204217241874-10.1042172418739
330275303.548580825087-28.5485808250866
331287.8287.838739434502-0.0387394345018786
332287.8289.830708065826-2.03070806582573
333287.4302.771086296247-15.3710862962471
334284300.756162754705-16.7561627547054
335277.8316.348990733362-38.5489907333617
336277.6334.613080160595-57.0130801605951
337304.9336.210003084735-31.310003084735
338294362.092831150516-68.0928311505156
339300.9388.483575125533-87.5835751255327
340324374.617280368473-50.6172803684731
341332.9369.347932667749-36.4479326677494
342341.6356.610339931215-15.0103399312152
343333.4338.304483893422-4.9044838934219
344348.2338.3400356891689.85996431083183
345344.7329.53408832413115.1659116758688
346344.7348.061541556154-3.36154155615392
347329.3355.283162882579-25.9831628825793
348323.5355.563266782773-32.0632667827728
349323.2384.512402004314-61.3124020043144
350317.4366.959013980205-49.5590139802047
351330.1355.726357271038-25.6263572710379
352329.2358.075748208862-28.8757482088615
353334.9351.696510187954-16.7965101879545
354315.8338.695553646631-22.895553646631
355315.4341.176626486849-25.7766264868493
356319.6352.856620794350-33.2566207943504
357317.3346.025901965233-28.7259019652331
358313.8343.503062514455-29.7030625144549
359315.8366.564135528922-50.7641355289218
360311.3381.348060392868-70.0480603928681

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 255 & 300.035129673362 & -45.0351296733621 \tabularnewline
2 & 280.2 & 300.183551671168 & -19.9835516711679 \tabularnewline
3 & 299.9 & 299.974551362467 & -0.0745513624672363 \tabularnewline
4 & 339.2 & 299.803174454451 & 39.3968255455493 \tabularnewline
5 & 374.2 & 301.21198037517 & 72.9880196248303 \tabularnewline
6 & 393.5 & 307.248464580043 & 86.2515354199567 \tabularnewline
7 & 389.2 & 307.340451476816 & 81.8595485231842 \tabularnewline
8 & 381.7 & 306.755217161273 & 74.944782838727 \tabularnewline
9 & 375.2 & 305.492761633415 & 69.707238366585 \tabularnewline
10 & 369 & 304.493669910346 & 64.5063300896538 \tabularnewline
11 & 357.4 & 303.645071790014 & 53.7549282099858 \tabularnewline
12 & 352.1 & 302.683603467630 & 49.4163965323704 \tabularnewline
13 & 346.5 & 301.421147939772 & 45.0788520602285 \tabularnewline
14 & 342.9 & 301.099277429018 & 41.8007225709819 \tabularnewline
15 & 340.3 & 300.457608012449 & 39.8423919875509 \tabularnewline
16 & 328.3 & 299.891185397248 & 28.4088146027516 \tabularnewline
17 & 322.9 & 299.362386182732 & 23.5376138172681 \tabularnewline
18 & 314.3 & 298.871210368900 & 15.4287896311004 \tabularnewline
19 & 308.9 & 298.417657955752 & 10.4823420442484 \tabularnewline
20 & 294 & 297.945293842261 & -3.94529384226133 \tabularnewline
21 & 285.6 & 296.720461715087 & -11.1204617150874 \tabularnewline
22 & 281.2 & 294.780784974914 & -13.5807849749141 \tabularnewline
23 & 280.3 & 293.273777342609 & -12.9737773426088 \tabularnewline
24 & 278.8 & 291.992510114409 & -13.1925101144087 \tabularnewline
25 & 274.5 & 290.805301387919 & -16.3053013879190 \tabularnewline
26 & 270.4 & 287.906227930299 & -17.5062279302989 \tabularnewline
27 & 263.4 & 270.390463306873 & -6.99046330687342 \tabularnewline
28 & 259.9 & 269.222066280726 & -9.32206628072581 \tabularnewline
29 & 258 & 271.797197622654 & -13.7971976226545 \tabularnewline
30 & 262.7 & 279.263371053527 & -16.5633710535271 \tabularnewline
31 & 284.7 & 282.891957614613 & 1.80804238538704 \tabularnewline
32 & 311.3 & 286.783907980488 & 24.5160920195119 \tabularnewline
33 & 322.1 & 294.043152707598 & 28.0568472924024 \tabularnewline
34 & 327 & 297.01332975671 & 29.9866702432897 \tabularnewline
35 & 331.3 & 299.550837697955 & 31.7491623020452 \tabularnewline
36 & 333.3 & 301.128948921753 & 32.1710510782474 \tabularnewline
37 & 321.4 & 301.559546424683 & 19.8404535753171 \tabularnewline
38 & 327 & 299.845610088615 & 27.1543899113854 \tabularnewline
39 & 320 & 298.808894964862 & 21.1911050351384 \tabularnewline
40 & 314.7 & 304.243404758788 & 10.4565952412117 \tabularnewline
41 & 316.7 & 302.247292917589 & 14.4527070824113 \tabularnewline
42 & 314.4 & 300.138310874336 & 14.2616891256635 \tabularnewline
43 & 321.3 & 298.894667046820 & 22.4053329531795 \tabularnewline
44 & 318.2 & 297.387659414515 & 20.8123405854848 \tabularnewline
45 & 307.2 & 295.843028381526 & 11.3569716184742 \tabularnewline
46 & 301.3 & 293.903351641352 & 7.3966483586476 \tabularnewline
47 & 287.5 & 291.926051500495 & -4.42605150049486 \tabularnewline
48 & 277.7 & 297.322937893737 & -19.6229378937373 \tabularnewline
49 & 274.4 & 296.643645076484 & -22.2436450764842 \tabularnewline
50 & 258.8 & 294.929708740416 & -36.1297087404159 \tabularnewline
51 & 253.3 & 293.535571310163 & -40.2355713101631 \tabularnewline
52 & 251 & 292.329550883331 & -41.3295508833314 \tabularnewline
53 & 248.4 & 291.010660254447 & -42.610660254447 \tabularnewline
54 & 249.5 & 289.353159019405 & -39.8531590194050 \tabularnewline
55 & 246.1 & 287.714469484705 & -41.6144694847051 \tabularnewline
56 & 244.5 & 285.962909747953 & -41.4629097479527 \tabularnewline
57 & 243.6 & 284.267785112227 & -40.6677851122265 \tabularnewline
58 & 244 & 291.545841539678 & -47.5458415396782 \tabularnewline
59 & 240.8 & 296.265506720605 & -55.4655067206054 \tabularnewline
60 & 249.8 & 294.927804391379 & -45.1278043913789 \tabularnewline
61 & 248 & 292.894069149495 & -44.8940691494951 \tabularnewline
62 & 259.4 & 291.217756214111 & -31.8177562141111 \tabularnewline
63 & 260.5 & 297.686909526853 & -37.1869095268528 \tabularnewline
64 & 260.8 & 297.722461322599 & -36.922461322599 \tabularnewline
65 & 261.3 & 295.895654784478 & -34.5956547844782 \tabularnewline
66 & 259.5 & 293.937166343963 & -34.4371663439628 \tabularnewline
67 & 256.6 & 292.392535310973 & -35.7925353109733 \tabularnewline
68 & 257.9 & 290.4528585708 & -32.5528585708 \tabularnewline
69 & 256.5 & 288.851792436784 & -32.3517924367842 \tabularnewline
70 & 254.2 & 300.21198783847 & -46.0119878384699 \tabularnewline
71 & 253.3 & 297.237667579481 & -43.9376675794814 \tabularnewline
72 & 253.8 & 294.376217522546 & -40.5762175225455 \tabularnewline
73 & 255.5 & 292.173176977583 & -36.6731769775829 \tabularnewline
74 & 257.1 & 289.951324732278 & -32.8513247322781 \tabularnewline
75 & 257.3 & 287.353238480132 & -30.0532384801316 \tabularnewline
76 & 253.2 & 290.680837835744 & -37.4808378357439 \tabularnewline
77 & 252.8 & 290.170850321570 & -37.3708503215696 \tabularnewline
78 & 252 & 287.704445971818 & -35.7044459718176 \tabularnewline
79 & 250.7 & 285.294476723092 & -34.5944767230920 \tabularnewline
80 & 252.2 & 282.621143669577 & -30.421143669577 \tabularnewline
81 & 250 & 287.66060775632 & -37.6606077563197 \tabularnewline
82 & 251 & 288.787238171907 & -37.7872381719073 \tabularnewline
83 & 253.4 & 288.239627257049 & -34.8396272570488 \tabularnewline
84 & 251.2 & 285.641541004902 & -34.4415410049022 \tabularnewline
85 & 255.6 & 285.169176891412 & -29.569176891412 \tabularnewline
86 & 261.1 & 282.627525740292 & -21.5275257402916 \tabularnewline
87 & 258.9 & 281.007647905934 & -22.1076479059339 \tabularnewline
88 & 259.9 & 281.099634802706 & -21.1996348027064 \tabularnewline
89 & 261.2 & 280.608458988874 & -19.4084589888741 \tabularnewline
90 & 264.7 & 279.534120464437 & -14.8341204644370 \tabularnewline
91 & 267.1 & 276.691482107843 & -9.59148210784316 \tabularnewline
92 & 266.4 & 279.642847456614 & -13.2428474566138 \tabularnewline
93 & 267.7 & 280.807101272886 & -13.1071012728855 \tabularnewline
94 & 268.6 & 278.284261822107 & -9.68426182210727 \tabularnewline
95 & 267.5 & 277.002994593907 & -9.50299459390716 \tabularnewline
96 & 268.5 & 278.599917518047 & -10.0999175180471 \tabularnewline
97 & 268.5 & 276.039454666585 & -7.53945466658466 \tabularnewline
98 & 270.5 & 272.914640804859 & -2.41464080485948 \tabularnewline
99 & 270.9 & 275.753135951577 & -4.8531359515775 \tabularnewline
100 & 270.1 & 269.900625540249 & 0.199374459751041 \tabularnewline
101 & 269.3 & 264.800583142604 & 4.49941685739586 \tabularnewline
102 & 269.8 & 268.109370797874 & 1.69062920212556 \tabularnewline
103 & 270.1 & 264.457829326571 & 5.64217067342932 \tabularnewline
104 & 264.9 & 261.445885666898 & 3.45411433310189 \tabularnewline
105 & 263.7 & 265.018037126958 & -1.31803712695767 \tabularnewline
106 & 264.8 & 261.648671160785 & 3.15132883921470 \tabularnewline
107 & 263.7 & 267.967330870790 & -4.2673308707903 \tabularnewline
108 & 255.9 & 268.078129467905 & -12.1781294679049 \tabularnewline
109 & 276.2 & 278.742291956933 & -2.54229195693319 \tabularnewline
110 & 360.1 & 296.987569683824 & 63.1124303161756 \tabularnewline
111 & 380.5 & 324.751567783814 & 55.7484322161857 \tabularnewline
112 & 373.7 & 327.552439529848 & 46.1475604701519 \tabularnewline
113 & 369.8 & 329.582031561856 & 40.2179684381439 \tabularnewline
114 & 366.6 & 327.774036724077 & 38.8259632759226 \tabularnewline
115 & 359.3 & 324.912586667142 & 34.3874133328585 \tabularnewline
116 & 345.8 & 322.145195111916 & 23.6548048880839 \tabularnewline
117 & 326.2 & 318.907511048138 & 7.29248895186161 \tabularnewline
118 & 324.5 & 316.836152405570 & 7.66384759442962 \tabularnewline
119 & 328.1 & 318.959802939289 & 9.14019706071116 \tabularnewline
120 & 327.5 & 315.740930575853 & 11.7590694241468 \tabularnewline
121 & 324.4 & 312.898292219259 & 11.5017077807405 \tabularnewline
122 & 316.5 & 310.375452768481 & 6.12454723151876 \tabularnewline
123 & 310.9 & 307.64568461394 & 3.25431538605998 \tabularnewline
124 & 301.5 & 305.066410062136 & -3.56641006213549 \tabularnewline
125 & 291.7 & 302.487135510331 & -10.787135510331 \tabularnewline
126 & 290.4 & 300.208848164 & -9.808848164 \tabularnewline
127 & 287.4 & 297.892937416985 & -10.4929374169848 \tabularnewline
128 & 277.7 & 295.859202175101 & -18.1592021751009 \tabularnewline
129 & 281.6 & 294.051207337322 & -12.4512073373222 \tabularnewline
130 & 288 & 297.002572686093 & -9.00257268609272 \tabularnewline
131 & 276 & 300.254925240337 & -24.2549252403367 \tabularnewline
132 & 272.9 & 298.540988904268 & -25.6409889042685 \tabularnewline
133 & 283 & 298.915151306172 & -15.9151513061724 \tabularnewline
134 & 283.3 & 302.675419769653 & -19.3754197696529 \tabularnewline
135 & 276.8 & 299.625852709296 & -22.8258527092961 \tabularnewline
136 & 284.5 & 301.316834135147 & -16.8168341351465 \tabularnewline
137 & 282.7 & 300.223683910367 & -17.5236839103673 \tabularnewline
138 & 281.2 & 297.249363651379 & -16.0493636513788 \tabularnewline
139 & 287.4 & 294.613653998548 & -7.21365399854807 \tabularnewline
140 & 283.1 & 292.053191147086 & -8.9531911470856 \tabularnewline
141 & 284 & 289.417481494255 & -5.41748149425486 \tabularnewline
142 & 285.5 & 292.14310643892 & -6.64310643892028 \tabularnewline
143 & 289.2 & 300.436994684845 & -11.2369946848450 \tabularnewline
144 & 292.5 & 297.895343533725 & -5.39534353372463 \tabularnewline
145 & 296.4 & 298.175447433918 & -1.77544743391814 \tabularnewline
146 & 305.2 & 292.623924228063 & 12.5760757719369 \tabularnewline
147 & 303.9 & 291.098104895416 & 12.8018951045842 \tabularnewline
148 & 311.5 & 303.398885314206 & 8.10111468579404 \tabularnewline
149 & 316.3 & 300.368129954191 & 15.9318700458087 \tabularnewline
150 & 316.7 & 302.059111380042 & 14.6408886199584 \tabularnewline
151 & 322.5 & 301.210513259710 & 21.2894867402904 \tabularnewline
152 & 317.1 & 298.537180206195 & 18.5628197938054 \tabularnewline
153 & 309.8 & 295.769788650969 & 14.0302113490308 \tabularnewline
154 & 303.8 & 295.222177736111 & 8.57782226388935 \tabularnewline
155 & 290.3 & 296.329996451356 & -6.02999645135616 \tabularnewline
156 & 293.7 & 293.412111293394 & 0.287888706605963 \tabularnewline
157 & 291.7 & 290.268485731327 & 1.43151426867322 \tabularnewline
158 & 296.5 & 287.030801667549 & 9.46919833245094 \tabularnewline
159 & 289.1 & 290.903940333082 & -1.80394033308205 \tabularnewline
160 & 288.5 & 295.190936406141 & -6.69093640614115 \tabularnewline
161 & 293.8 & 292.160181046126 & 1.63981895387357 \tabularnewline
162 & 297.7 & 289.279919288848 & 8.42008071115151 \tabularnewline
163 & 305.4 & 286.625397935676 & 18.7746020643244 \tabularnewline
164 & 302.7 & 283.952064882161 & 18.7479351178393 \tabularnewline
165 & 302.5 & 295.933046395135 & 6.56695360486468 \tabularnewline
166 & 303 & 294.538908964883 & 8.46109103511737 \tabularnewline
167 & 294.5 & 292.034881214447 & 2.46511878555350 \tabularnewline
168 & 294.1 & 289.380359861274 & 4.7196401387264 \tabularnewline
169 & 294.5 & 287.120884215285 & 7.37911578471531 \tabularnewline
170 & 297.1 & 285.105960673743 & 11.9940393262571 \tabularnewline
171 & 289.4 & 287.587033513961 & 1.81296648603879 \tabularnewline
172 & 292.4 & 294.620537836966 & -2.22053783696569 \tabularnewline
173 & 287.9 & 292.586802595082 & -4.68680259508187 \tabularnewline
174 & 286.6 & 290.553067353198 & -3.953067353198 \tabularnewline
175 & 280.5 & 288.613390613025 & -8.11339061302465 \tabularnewline
176 & 272.4 & 286.560843670799 & -14.1608436707987 \tabularnewline
177 & 269.2 & 283.887510617284 & -14.6875106172838 \tabularnewline
178 & 270.6 & 287.365603575633 & -16.7656035756328 \tabularnewline
179 & 267.3 & 286.366511852564 & -19.0665118525641 \tabularnewline
180 & 262.5 & 284.125847906917 & -21.6258479069173 \tabularnewline
181 & 266.8 & 284.274269904716 & -17.4742699047161 \tabularnewline
182 & 268.8 & 277.349492573888 & -8.54949257388833 \tabularnewline
183 & 263.1 & 273.998938308058 & -10.8989383080581 \tabularnewline
184 & 261.2 & 272.905788083279 & -11.7057880832789 \tabularnewline
185 & 266 & 271.831449558842 & -5.83144955884171 \tabularnewline
186 & 262.5 & 270.738299334062 & -8.23829933406247 \tabularnewline
187 & 265.2 & 263.738275201866 & 1.46172479813363 \tabularnewline
188 & 261.3 & 257.584777585064 & 3.71522241493562 \tabularnewline
189 & 253.7 & 256.679744363706 & -2.97974436370608 \tabularnewline
190 & 249.2 & 255.774711142348 & -6.57471114234778 \tabularnewline
191 & 239.1 & 254.907301321674 & -15.8073013216736 \tabularnewline
192 & 236.4 & 254.002268100315 & -17.6022681003153 \tabularnewline
193 & 235.2 & 253.210105081010 & -18.0101050810096 \tabularnewline
194 & 245.2 & 252.455565462388 & -7.25556546238798 \tabularnewline
195 & 246.2 & 251.719837544108 & -5.5198375441085 \tabularnewline
196 & 247.7 & 256.778113331193 & -9.07811333119333 \tabularnewline
197 & 251.4 & 257.547321440281 & -6.14732144028118 \tabularnewline
198 & 253.3 & 256.378924414134 & -3.07892441413358 \tabularnewline
199 & 254.8 & 255.586761394828 & -0.786761394827808 \tabularnewline
200 & 250 & 267.605366308487 & -17.6053663084867 \tabularnewline
201 & 249.3 & 266.719144787470 & -17.4191447874705 \tabularnewline
202 & 241.5 & 265.832923266454 & -24.3329232664542 \tabularnewline
203 & 243.3 & 265.454617654675 & -22.1546176546745 \tabularnewline
204 & 248 & 264.116915325448 & -16.1169153254481 \tabularnewline
205 & 253 & 263.381187407169 & -10.3811874071686 \tabularnewline
206 & 252.9 & 276.415624139300 & -23.5156241393004 \tabularnewline
207 & 251.5 & 313.52903730931 & -62.02903730931 \tabularnewline
208 & 251.6 & 311.476490367084 & -59.876490367084 \tabularnewline
209 & 253.5 & 310.044729536147 & -56.5447295361471 \tabularnewline
210 & 259.8 & 311.999074766787 & -52.1990747667868 \tabularnewline
211 & 334.1 & 309.739599120798 & 24.3604008792022 \tabularnewline
212 & 448 & 346.758953789097 & 101.241046210903 \tabularnewline
213 & 445.8 & 373.619990272666 & 72.1800097273337 \tabularnewline
214 & 445 & 378.678266059751 & 66.3217339402489 \tabularnewline
215 & 448.2 & 378.318772148313 & 69.8812278516865 \tabularnewline
216 & 438.2 & 370.792020406539 & 67.4079795934612 \tabularnewline
217 & 439.8 & 367.234537436946 & 72.5654625630545 \tabularnewline
218 & 423.4 & 365.689906403956 & 57.7100935960439 \tabularnewline
219 & 410.8 & 361.9254947306 & 48.8745052694002 \tabularnewline
220 & 408.4 & 360.606604101715 & 47.7933958982845 \tabularnewline
221 & 406.7 & 366.454971303168 & 40.2450286968318 \tabularnewline
222 & 405.9 & 360.24503858534 & 45.6549614146601 \tabularnewline
223 & 402.7 & 356.706367316089 & 45.9936326839113 \tabularnewline
224 & 405.1 & 349.969706988682 & 55.1302930113181 \tabularnewline
225 & 399.6 & 347.352809036193 & 52.2471909638068 \tabularnewline
226 & 386.5 & 341.387428422812 & 45.1125715771878 \tabularnewline
227 & 381.4 & 341.761590824716 & 39.6384091752839 \tabularnewline
228 & 375.2 & 341.740707519436 & 33.4592924805639 \tabularnewline
229 & 357.7 & 330.018946601375 & 27.6810533986251 \tabularnewline
230 & 359 & 335.058410688118 & 23.9415893118823 \tabularnewline
231 & 355 & 334.360306170522 & 20.6396938294776 \tabularnewline
232 & 352.7 & 328.978088267746 & 23.7219117322538 \tabularnewline
233 & 344.4 & 330.537387791202 & 13.8626122087981 \tabularnewline
234 & 343.8 & 328.503652549318 & 15.2963474506819 \tabularnewline
235 & 338 & 333.731233639482 & 4.26876636051826 \tabularnewline
236 & 339 & 363.583330477444 & -24.5833304774438 \tabularnewline
237 & 333.3 & 367.362410641266 & -34.0624106412663 \tabularnewline
238 & 334.4 & 372.270192825614 & -37.8701928256145 \tabularnewline
239 & 328.3 & 372.493861624782 & -44.1938616247816 \tabularnewline
240 & 330.7 & 358.044404157117 & -27.3444041571171 \tabularnewline
241 & 330 & 349.14439829037 & -19.1443982903697 \tabularnewline
242 & 331.6 & 385.016239237801 & -53.4162392378012 \tabularnewline
243 & 351.2 & 467.729214037042 & -116.529214037042 \tabularnewline
244 & 389.4 & 449.159994194459 & -59.7599941944589 \tabularnewline
245 & 410.9 & 495.415893730725 & -84.5158937307251 \tabularnewline
246 & 442.8 & 495.677185930577 & -52.8771859305765 \tabularnewline
247 & 462.8 & 422.008495786007 & 40.7915042139935 \tabularnewline
248 & 466.9 & 409.571890254946 & 57.3281097450541 \tabularnewline
249 & 461.7 & 400.615449287172 & 61.0845507128278 \tabularnewline
250 & 439.2 & 389.984766988952 & 49.2152330110477 \tabularnewline
251 & 430.3 & 380.783773916731 & 49.5162260832685 \tabularnewline
252 & 416.1 & 394.796419066652 & 21.3035809333480 \tabularnewline
253 & 402.5 & 394.530983656925 & 7.96901634307512 \tabularnewline
254 & 397.3 & 407.885219294872 & -10.5852192948723 \tabularnewline
255 & 403.3 & 379.703220577481 & 23.5967794225194 \tabularnewline
256 & 395.9 & 383.012008232751 & 12.8879917672491 \tabularnewline
257 & 387.8 & 361.545786537486 & 26.2542134625139 \tabularnewline
258 & 378.6 & 358.740771581576 & 19.8592284184235 \tabularnewline
259 & 377.1 & 360.751551913242 & 16.3484480867576 \tabularnewline
260 & 370.4 & 358.586134768964 & 11.8138652310360 \tabularnewline
261 & 362 & 342.895105078721 & 19.1048949212786 \tabularnewline
262 & 350.3 & 339.958408220417 & 10.3415917795829 \tabularnewline
263 & 348.2 & 350.321583503972 & -2.12158350397190 \tabularnewline
264 & 344.6 & 352.501669138717 & -7.90166913871663 \tabularnewline
265 & 343.5 & 350.35506369478 & -6.85506369478027 \tabularnewline
266 & 342.8 & 345.02928089303 & -2.22928089303035 \tabularnewline
267 & 347.6 & 347.378671830854 & 0.2213281691461 \tabularnewline
268 & 346.6 & 344.742962178023 & 1.85703782197685 \tabularnewline
269 & 349.5 & 341.825077020061 & 7.674922979939 \tabularnewline
270 & 342.1 & 342.086369219912 & 0.0136307800876341 \tabularnewline
271 & 342 & 331.004206113482 & 10.9957938865177 \tabularnewline
272 & 342.8 & 326.355644524048 & 16.4443554759523 \tabularnewline
273 & 339.3 & 318.603152378168 & 20.6968476218321 \tabularnewline
274 & 348.2 & 318.695139274941 & 29.5048607250595 \tabularnewline
275 & 333.7 & 335.473104375149 & -1.77310437514863 \tabularnewline
276 & 334.7 & 358.628235891326 & -23.9282358913259 \tabularnewline
277 & 354 & 341.37583507269 & 12.6241649273103 \tabularnewline
278 & 367.7 & 331.949101596364 & 35.7508984036363 \tabularnewline
279 & 363.3 & 334.147998931451 & 29.1520010685494 \tabularnewline
280 & 358.4 & 326.451941886597 & 31.9480581134029 \tabularnewline
281 & 353.1 & 324.437018345055 & 28.6629816549447 \tabularnewline
282 & 343.1 & 314.445933858467 & 28.6540661415334 \tabularnewline
283 & 344.6 & 313.992381445318 & 30.6076185546815 \tabularnewline
284 & 344.4 & 306.634935006623 & 37.7650649933774 \tabularnewline
285 & 333.9 & 305.203174175686 & 28.6968258243142 \tabularnewline
286 & 331.7 & 307.496130012483 & 24.2038699875169 \tabularnewline
287 & 324.3 & 310.108884755096 & 14.1911152449041 \tabularnewline
288 & 321.2 & 307.397928300897 & 13.8020716991032 \tabularnewline
289 & 322.4 & 301.432547687516 & 20.9674523124842 \tabularnewline
290 & 321.7 & 289.654351668428 & 32.0456483315717 \tabularnewline
291 & 320.5 & 290.197819373411 & 30.3021806265889 \tabularnewline
292 & 312.8 & 296.365985480679 & 16.4340145193207 \tabularnewline
293 & 309.7 & 303.869782312236 & 5.83021768776388 \tabularnewline
294 & 315.6 & 283.964931745365 & 31.6350682546351 \tabularnewline
295 & 309.7 & 283.379697429822 & 26.3203025701778 \tabularnewline
296 & 304.6 & 284.694444848831 & 19.9055551511693 \tabularnewline
297 & 302.5 & 286.535919877418 & 15.9640801225822 \tabularnewline
298 & 301.5 & 275.660685474751 & 25.8393145252492 \tabularnewline
299 & 298.8 & 281.433805874835 & 17.3661941251649 \tabularnewline
300 & 291.3 & 279.832739740819 & 11.4672602591806 \tabularnewline
301 & 293.6 & 283.988053911484 & 9.61194608851624 \tabularnewline
302 & 294.6 & 281.371155958995 & 13.2288440410049 \tabularnewline
303 & 285.9 & 291.245227033656 & -5.34522703365551 \tabularnewline
304 & 297.6 & 297.168841036477 & 0.431158963523477 \tabularnewline
305 & 301.1 & 286.143113031073 & 14.9568869689273 \tabularnewline
306 & 293.8 & 281.41930464027 & 12.3806953597302 \tabularnewline
307 & 297.7 & 268.568841701683 & 29.1311582983169 \tabularnewline
308 & 292.9 & 265.255910836537 & 27.644089163463 \tabularnewline
309 & 292.1 & 275.619086120092 & 16.4809138799083 \tabularnewline
310 & 287.2 & 275.767508117891 & 11.4324918821094 \tabularnewline
311 & 288.2 & 282.236661430632 & 5.96333856936767 \tabularnewline
312 & 283.8 & 268.972341084520 & 14.8276589154804 \tabularnewline
313 & 299.9 & 277.059300626681 & 22.8406993733187 \tabularnewline
314 & 292.4 & 274.611707977271 & 17.7882920227286 \tabularnewline
315 & 293.3 & 268.702762464917 & 24.5972375350834 \tabularnewline
316 & 300.8 & 273.742226551659 & 27.0577734483407 \tabularnewline
317 & 293.7 & 276.731215301114 & 16.9687846988859 \tabularnewline
318 & 293.1 & 270.427224081575 & 22.6727759184247 \tabularnewline
319 & 294.4 & 278.062702815527 & 16.3372971844732 \tabularnewline
320 & 292.1 & 272.699296613093 & 19.4007033869073 \tabularnewline
321 & 291.9 & 273.73186852697 & 18.1681314730301 \tabularnewline
322 & 282.5 & 271.604074783376 & 10.8959252166244 \tabularnewline
323 & 277.9 & 273.313867909568 & 4.58613209043196 \tabularnewline
324 & 287.5 & 276.265233258339 & 11.2347667416614 \tabularnewline
325 & 289.2 & 288.415520074392 & 0.78447992560794 \tabularnewline
326 & 285.6 & 289.090669681769 & -3.49066968176945 \tabularnewline
327 & 293.2 & 293.753899761670 & -0.553899761670378 \tabularnewline
328 & 290.8 & 290.083546590025 & 0.71645340997548 \tabularnewline
329 & 283.1 & 293.204217241874 & -10.1042172418739 \tabularnewline
330 & 275 & 303.548580825087 & -28.5485808250866 \tabularnewline
331 & 287.8 & 287.838739434502 & -0.0387394345018786 \tabularnewline
332 & 287.8 & 289.830708065826 & -2.03070806582573 \tabularnewline
333 & 287.4 & 302.771086296247 & -15.3710862962471 \tabularnewline
334 & 284 & 300.756162754705 & -16.7561627547054 \tabularnewline
335 & 277.8 & 316.348990733362 & -38.5489907333617 \tabularnewline
336 & 277.6 & 334.613080160595 & -57.0130801605951 \tabularnewline
337 & 304.9 & 336.210003084735 & -31.310003084735 \tabularnewline
338 & 294 & 362.092831150516 & -68.0928311505156 \tabularnewline
339 & 300.9 & 388.483575125533 & -87.5835751255327 \tabularnewline
340 & 324 & 374.617280368473 & -50.6172803684731 \tabularnewline
341 & 332.9 & 369.347932667749 & -36.4479326677494 \tabularnewline
342 & 341.6 & 356.610339931215 & -15.0103399312152 \tabularnewline
343 & 333.4 & 338.304483893422 & -4.9044838934219 \tabularnewline
344 & 348.2 & 338.340035689168 & 9.85996431083183 \tabularnewline
345 & 344.7 & 329.534088324131 & 15.1659116758688 \tabularnewline
346 & 344.7 & 348.061541556154 & -3.36154155615392 \tabularnewline
347 & 329.3 & 355.283162882579 & -25.9831628825793 \tabularnewline
348 & 323.5 & 355.563266782773 & -32.0632667827728 \tabularnewline
349 & 323.2 & 384.512402004314 & -61.3124020043144 \tabularnewline
350 & 317.4 & 366.959013980205 & -49.5590139802047 \tabularnewline
351 & 330.1 & 355.726357271038 & -25.6263572710379 \tabularnewline
352 & 329.2 & 358.075748208862 & -28.8757482088615 \tabularnewline
353 & 334.9 & 351.696510187954 & -16.7965101879545 \tabularnewline
354 & 315.8 & 338.695553646631 & -22.895553646631 \tabularnewline
355 & 315.4 & 341.176626486849 & -25.7766264868493 \tabularnewline
356 & 319.6 & 352.856620794350 & -33.2566207943504 \tabularnewline
357 & 317.3 & 346.025901965233 & -28.7259019652331 \tabularnewline
358 & 313.8 & 343.503062514455 & -29.7030625144549 \tabularnewline
359 & 315.8 & 366.564135528922 & -50.7641355289218 \tabularnewline
360 & 311.3 & 381.348060392868 & -70.0480603928681 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=93490&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]255[/C][C]300.035129673362[/C][C]-45.0351296733621[/C][/ROW]
[ROW][C]2[/C][C]280.2[/C][C]300.183551671168[/C][C]-19.9835516711679[/C][/ROW]
[ROW][C]3[/C][C]299.9[/C][C]299.974551362467[/C][C]-0.0745513624672363[/C][/ROW]
[ROW][C]4[/C][C]339.2[/C][C]299.803174454451[/C][C]39.3968255455493[/C][/ROW]
[ROW][C]5[/C][C]374.2[/C][C]301.21198037517[/C][C]72.9880196248303[/C][/ROW]
[ROW][C]6[/C][C]393.5[/C][C]307.248464580043[/C][C]86.2515354199567[/C][/ROW]
[ROW][C]7[/C][C]389.2[/C][C]307.340451476816[/C][C]81.8595485231842[/C][/ROW]
[ROW][C]8[/C][C]381.7[/C][C]306.755217161273[/C][C]74.944782838727[/C][/ROW]
[ROW][C]9[/C][C]375.2[/C][C]305.492761633415[/C][C]69.707238366585[/C][/ROW]
[ROW][C]10[/C][C]369[/C][C]304.493669910346[/C][C]64.5063300896538[/C][/ROW]
[ROW][C]11[/C][C]357.4[/C][C]303.645071790014[/C][C]53.7549282099858[/C][/ROW]
[ROW][C]12[/C][C]352.1[/C][C]302.683603467630[/C][C]49.4163965323704[/C][/ROW]
[ROW][C]13[/C][C]346.5[/C][C]301.421147939772[/C][C]45.0788520602285[/C][/ROW]
[ROW][C]14[/C][C]342.9[/C][C]301.099277429018[/C][C]41.8007225709819[/C][/ROW]
[ROW][C]15[/C][C]340.3[/C][C]300.457608012449[/C][C]39.8423919875509[/C][/ROW]
[ROW][C]16[/C][C]328.3[/C][C]299.891185397248[/C][C]28.4088146027516[/C][/ROW]
[ROW][C]17[/C][C]322.9[/C][C]299.362386182732[/C][C]23.5376138172681[/C][/ROW]
[ROW][C]18[/C][C]314.3[/C][C]298.871210368900[/C][C]15.4287896311004[/C][/ROW]
[ROW][C]19[/C][C]308.9[/C][C]298.417657955752[/C][C]10.4823420442484[/C][/ROW]
[ROW][C]20[/C][C]294[/C][C]297.945293842261[/C][C]-3.94529384226133[/C][/ROW]
[ROW][C]21[/C][C]285.6[/C][C]296.720461715087[/C][C]-11.1204617150874[/C][/ROW]
[ROW][C]22[/C][C]281.2[/C][C]294.780784974914[/C][C]-13.5807849749141[/C][/ROW]
[ROW][C]23[/C][C]280.3[/C][C]293.273777342609[/C][C]-12.9737773426088[/C][/ROW]
[ROW][C]24[/C][C]278.8[/C][C]291.992510114409[/C][C]-13.1925101144087[/C][/ROW]
[ROW][C]25[/C][C]274.5[/C][C]290.805301387919[/C][C]-16.3053013879190[/C][/ROW]
[ROW][C]26[/C][C]270.4[/C][C]287.906227930299[/C][C]-17.5062279302989[/C][/ROW]
[ROW][C]27[/C][C]263.4[/C][C]270.390463306873[/C][C]-6.99046330687342[/C][/ROW]
[ROW][C]28[/C][C]259.9[/C][C]269.222066280726[/C][C]-9.32206628072581[/C][/ROW]
[ROW][C]29[/C][C]258[/C][C]271.797197622654[/C][C]-13.7971976226545[/C][/ROW]
[ROW][C]30[/C][C]262.7[/C][C]279.263371053527[/C][C]-16.5633710535271[/C][/ROW]
[ROW][C]31[/C][C]284.7[/C][C]282.891957614613[/C][C]1.80804238538704[/C][/ROW]
[ROW][C]32[/C][C]311.3[/C][C]286.783907980488[/C][C]24.5160920195119[/C][/ROW]
[ROW][C]33[/C][C]322.1[/C][C]294.043152707598[/C][C]28.0568472924024[/C][/ROW]
[ROW][C]34[/C][C]327[/C][C]297.01332975671[/C][C]29.9866702432897[/C][/ROW]
[ROW][C]35[/C][C]331.3[/C][C]299.550837697955[/C][C]31.7491623020452[/C][/ROW]
[ROW][C]36[/C][C]333.3[/C][C]301.128948921753[/C][C]32.1710510782474[/C][/ROW]
[ROW][C]37[/C][C]321.4[/C][C]301.559546424683[/C][C]19.8404535753171[/C][/ROW]
[ROW][C]38[/C][C]327[/C][C]299.845610088615[/C][C]27.1543899113854[/C][/ROW]
[ROW][C]39[/C][C]320[/C][C]298.808894964862[/C][C]21.1911050351384[/C][/ROW]
[ROW][C]40[/C][C]314.7[/C][C]304.243404758788[/C][C]10.4565952412117[/C][/ROW]
[ROW][C]41[/C][C]316.7[/C][C]302.247292917589[/C][C]14.4527070824113[/C][/ROW]
[ROW][C]42[/C][C]314.4[/C][C]300.138310874336[/C][C]14.2616891256635[/C][/ROW]
[ROW][C]43[/C][C]321.3[/C][C]298.894667046820[/C][C]22.4053329531795[/C][/ROW]
[ROW][C]44[/C][C]318.2[/C][C]297.387659414515[/C][C]20.8123405854848[/C][/ROW]
[ROW][C]45[/C][C]307.2[/C][C]295.843028381526[/C][C]11.3569716184742[/C][/ROW]
[ROW][C]46[/C][C]301.3[/C][C]293.903351641352[/C][C]7.3966483586476[/C][/ROW]
[ROW][C]47[/C][C]287.5[/C][C]291.926051500495[/C][C]-4.42605150049486[/C][/ROW]
[ROW][C]48[/C][C]277.7[/C][C]297.322937893737[/C][C]-19.6229378937373[/C][/ROW]
[ROW][C]49[/C][C]274.4[/C][C]296.643645076484[/C][C]-22.2436450764842[/C][/ROW]
[ROW][C]50[/C][C]258.8[/C][C]294.929708740416[/C][C]-36.1297087404159[/C][/ROW]
[ROW][C]51[/C][C]253.3[/C][C]293.535571310163[/C][C]-40.2355713101631[/C][/ROW]
[ROW][C]52[/C][C]251[/C][C]292.329550883331[/C][C]-41.3295508833314[/C][/ROW]
[ROW][C]53[/C][C]248.4[/C][C]291.010660254447[/C][C]-42.610660254447[/C][/ROW]
[ROW][C]54[/C][C]249.5[/C][C]289.353159019405[/C][C]-39.8531590194050[/C][/ROW]
[ROW][C]55[/C][C]246.1[/C][C]287.714469484705[/C][C]-41.6144694847051[/C][/ROW]
[ROW][C]56[/C][C]244.5[/C][C]285.962909747953[/C][C]-41.4629097479527[/C][/ROW]
[ROW][C]57[/C][C]243.6[/C][C]284.267785112227[/C][C]-40.6677851122265[/C][/ROW]
[ROW][C]58[/C][C]244[/C][C]291.545841539678[/C][C]-47.5458415396782[/C][/ROW]
[ROW][C]59[/C][C]240.8[/C][C]296.265506720605[/C][C]-55.4655067206054[/C][/ROW]
[ROW][C]60[/C][C]249.8[/C][C]294.927804391379[/C][C]-45.1278043913789[/C][/ROW]
[ROW][C]61[/C][C]248[/C][C]292.894069149495[/C][C]-44.8940691494951[/C][/ROW]
[ROW][C]62[/C][C]259.4[/C][C]291.217756214111[/C][C]-31.8177562141111[/C][/ROW]
[ROW][C]63[/C][C]260.5[/C][C]297.686909526853[/C][C]-37.1869095268528[/C][/ROW]
[ROW][C]64[/C][C]260.8[/C][C]297.722461322599[/C][C]-36.922461322599[/C][/ROW]
[ROW][C]65[/C][C]261.3[/C][C]295.895654784478[/C][C]-34.5956547844782[/C][/ROW]
[ROW][C]66[/C][C]259.5[/C][C]293.937166343963[/C][C]-34.4371663439628[/C][/ROW]
[ROW][C]67[/C][C]256.6[/C][C]292.392535310973[/C][C]-35.7925353109733[/C][/ROW]
[ROW][C]68[/C][C]257.9[/C][C]290.4528585708[/C][C]-32.5528585708[/C][/ROW]
[ROW][C]69[/C][C]256.5[/C][C]288.851792436784[/C][C]-32.3517924367842[/C][/ROW]
[ROW][C]70[/C][C]254.2[/C][C]300.21198783847[/C][C]-46.0119878384699[/C][/ROW]
[ROW][C]71[/C][C]253.3[/C][C]297.237667579481[/C][C]-43.9376675794814[/C][/ROW]
[ROW][C]72[/C][C]253.8[/C][C]294.376217522546[/C][C]-40.5762175225455[/C][/ROW]
[ROW][C]73[/C][C]255.5[/C][C]292.173176977583[/C][C]-36.6731769775829[/C][/ROW]
[ROW][C]74[/C][C]257.1[/C][C]289.951324732278[/C][C]-32.8513247322781[/C][/ROW]
[ROW][C]75[/C][C]257.3[/C][C]287.353238480132[/C][C]-30.0532384801316[/C][/ROW]
[ROW][C]76[/C][C]253.2[/C][C]290.680837835744[/C][C]-37.4808378357439[/C][/ROW]
[ROW][C]77[/C][C]252.8[/C][C]290.170850321570[/C][C]-37.3708503215696[/C][/ROW]
[ROW][C]78[/C][C]252[/C][C]287.704445971818[/C][C]-35.7044459718176[/C][/ROW]
[ROW][C]79[/C][C]250.7[/C][C]285.294476723092[/C][C]-34.5944767230920[/C][/ROW]
[ROW][C]80[/C][C]252.2[/C][C]282.621143669577[/C][C]-30.421143669577[/C][/ROW]
[ROW][C]81[/C][C]250[/C][C]287.66060775632[/C][C]-37.6606077563197[/C][/ROW]
[ROW][C]82[/C][C]251[/C][C]288.787238171907[/C][C]-37.7872381719073[/C][/ROW]
[ROW][C]83[/C][C]253.4[/C][C]288.239627257049[/C][C]-34.8396272570488[/C][/ROW]
[ROW][C]84[/C][C]251.2[/C][C]285.641541004902[/C][C]-34.4415410049022[/C][/ROW]
[ROW][C]85[/C][C]255.6[/C][C]285.169176891412[/C][C]-29.569176891412[/C][/ROW]
[ROW][C]86[/C][C]261.1[/C][C]282.627525740292[/C][C]-21.5275257402916[/C][/ROW]
[ROW][C]87[/C][C]258.9[/C][C]281.007647905934[/C][C]-22.1076479059339[/C][/ROW]
[ROW][C]88[/C][C]259.9[/C][C]281.099634802706[/C][C]-21.1996348027064[/C][/ROW]
[ROW][C]89[/C][C]261.2[/C][C]280.608458988874[/C][C]-19.4084589888741[/C][/ROW]
[ROW][C]90[/C][C]264.7[/C][C]279.534120464437[/C][C]-14.8341204644370[/C][/ROW]
[ROW][C]91[/C][C]267.1[/C][C]276.691482107843[/C][C]-9.59148210784316[/C][/ROW]
[ROW][C]92[/C][C]266.4[/C][C]279.642847456614[/C][C]-13.2428474566138[/C][/ROW]
[ROW][C]93[/C][C]267.7[/C][C]280.807101272886[/C][C]-13.1071012728855[/C][/ROW]
[ROW][C]94[/C][C]268.6[/C][C]278.284261822107[/C][C]-9.68426182210727[/C][/ROW]
[ROW][C]95[/C][C]267.5[/C][C]277.002994593907[/C][C]-9.50299459390716[/C][/ROW]
[ROW][C]96[/C][C]268.5[/C][C]278.599917518047[/C][C]-10.0999175180471[/C][/ROW]
[ROW][C]97[/C][C]268.5[/C][C]276.039454666585[/C][C]-7.53945466658466[/C][/ROW]
[ROW][C]98[/C][C]270.5[/C][C]272.914640804859[/C][C]-2.41464080485948[/C][/ROW]
[ROW][C]99[/C][C]270.9[/C][C]275.753135951577[/C][C]-4.8531359515775[/C][/ROW]
[ROW][C]100[/C][C]270.1[/C][C]269.900625540249[/C][C]0.199374459751041[/C][/ROW]
[ROW][C]101[/C][C]269.3[/C][C]264.800583142604[/C][C]4.49941685739586[/C][/ROW]
[ROW][C]102[/C][C]269.8[/C][C]268.109370797874[/C][C]1.69062920212556[/C][/ROW]
[ROW][C]103[/C][C]270.1[/C][C]264.457829326571[/C][C]5.64217067342932[/C][/ROW]
[ROW][C]104[/C][C]264.9[/C][C]261.445885666898[/C][C]3.45411433310189[/C][/ROW]
[ROW][C]105[/C][C]263.7[/C][C]265.018037126958[/C][C]-1.31803712695767[/C][/ROW]
[ROW][C]106[/C][C]264.8[/C][C]261.648671160785[/C][C]3.15132883921470[/C][/ROW]
[ROW][C]107[/C][C]263.7[/C][C]267.967330870790[/C][C]-4.2673308707903[/C][/ROW]
[ROW][C]108[/C][C]255.9[/C][C]268.078129467905[/C][C]-12.1781294679049[/C][/ROW]
[ROW][C]109[/C][C]276.2[/C][C]278.742291956933[/C][C]-2.54229195693319[/C][/ROW]
[ROW][C]110[/C][C]360.1[/C][C]296.987569683824[/C][C]63.1124303161756[/C][/ROW]
[ROW][C]111[/C][C]380.5[/C][C]324.751567783814[/C][C]55.7484322161857[/C][/ROW]
[ROW][C]112[/C][C]373.7[/C][C]327.552439529848[/C][C]46.1475604701519[/C][/ROW]
[ROW][C]113[/C][C]369.8[/C][C]329.582031561856[/C][C]40.2179684381439[/C][/ROW]
[ROW][C]114[/C][C]366.6[/C][C]327.774036724077[/C][C]38.8259632759226[/C][/ROW]
[ROW][C]115[/C][C]359.3[/C][C]324.912586667142[/C][C]34.3874133328585[/C][/ROW]
[ROW][C]116[/C][C]345.8[/C][C]322.145195111916[/C][C]23.6548048880839[/C][/ROW]
[ROW][C]117[/C][C]326.2[/C][C]318.907511048138[/C][C]7.29248895186161[/C][/ROW]
[ROW][C]118[/C][C]324.5[/C][C]316.836152405570[/C][C]7.66384759442962[/C][/ROW]
[ROW][C]119[/C][C]328.1[/C][C]318.959802939289[/C][C]9.14019706071116[/C][/ROW]
[ROW][C]120[/C][C]327.5[/C][C]315.740930575853[/C][C]11.7590694241468[/C][/ROW]
[ROW][C]121[/C][C]324.4[/C][C]312.898292219259[/C][C]11.5017077807405[/C][/ROW]
[ROW][C]122[/C][C]316.5[/C][C]310.375452768481[/C][C]6.12454723151876[/C][/ROW]
[ROW][C]123[/C][C]310.9[/C][C]307.64568461394[/C][C]3.25431538605998[/C][/ROW]
[ROW][C]124[/C][C]301.5[/C][C]305.066410062136[/C][C]-3.56641006213549[/C][/ROW]
[ROW][C]125[/C][C]291.7[/C][C]302.487135510331[/C][C]-10.787135510331[/C][/ROW]
[ROW][C]126[/C][C]290.4[/C][C]300.208848164[/C][C]-9.808848164[/C][/ROW]
[ROW][C]127[/C][C]287.4[/C][C]297.892937416985[/C][C]-10.4929374169848[/C][/ROW]
[ROW][C]128[/C][C]277.7[/C][C]295.859202175101[/C][C]-18.1592021751009[/C][/ROW]
[ROW][C]129[/C][C]281.6[/C][C]294.051207337322[/C][C]-12.4512073373222[/C][/ROW]
[ROW][C]130[/C][C]288[/C][C]297.002572686093[/C][C]-9.00257268609272[/C][/ROW]
[ROW][C]131[/C][C]276[/C][C]300.254925240337[/C][C]-24.2549252403367[/C][/ROW]
[ROW][C]132[/C][C]272.9[/C][C]298.540988904268[/C][C]-25.6409889042685[/C][/ROW]
[ROW][C]133[/C][C]283[/C][C]298.915151306172[/C][C]-15.9151513061724[/C][/ROW]
[ROW][C]134[/C][C]283.3[/C][C]302.675419769653[/C][C]-19.3754197696529[/C][/ROW]
[ROW][C]135[/C][C]276.8[/C][C]299.625852709296[/C][C]-22.8258527092961[/C][/ROW]
[ROW][C]136[/C][C]284.5[/C][C]301.316834135147[/C][C]-16.8168341351465[/C][/ROW]
[ROW][C]137[/C][C]282.7[/C][C]300.223683910367[/C][C]-17.5236839103673[/C][/ROW]
[ROW][C]138[/C][C]281.2[/C][C]297.249363651379[/C][C]-16.0493636513788[/C][/ROW]
[ROW][C]139[/C][C]287.4[/C][C]294.613653998548[/C][C]-7.21365399854807[/C][/ROW]
[ROW][C]140[/C][C]283.1[/C][C]292.053191147086[/C][C]-8.9531911470856[/C][/ROW]
[ROW][C]141[/C][C]284[/C][C]289.417481494255[/C][C]-5.41748149425486[/C][/ROW]
[ROW][C]142[/C][C]285.5[/C][C]292.14310643892[/C][C]-6.64310643892028[/C][/ROW]
[ROW][C]143[/C][C]289.2[/C][C]300.436994684845[/C][C]-11.2369946848450[/C][/ROW]
[ROW][C]144[/C][C]292.5[/C][C]297.895343533725[/C][C]-5.39534353372463[/C][/ROW]
[ROW][C]145[/C][C]296.4[/C][C]298.175447433918[/C][C]-1.77544743391814[/C][/ROW]
[ROW][C]146[/C][C]305.2[/C][C]292.623924228063[/C][C]12.5760757719369[/C][/ROW]
[ROW][C]147[/C][C]303.9[/C][C]291.098104895416[/C][C]12.8018951045842[/C][/ROW]
[ROW][C]148[/C][C]311.5[/C][C]303.398885314206[/C][C]8.10111468579404[/C][/ROW]
[ROW][C]149[/C][C]316.3[/C][C]300.368129954191[/C][C]15.9318700458087[/C][/ROW]
[ROW][C]150[/C][C]316.7[/C][C]302.059111380042[/C][C]14.6408886199584[/C][/ROW]
[ROW][C]151[/C][C]322.5[/C][C]301.210513259710[/C][C]21.2894867402904[/C][/ROW]
[ROW][C]152[/C][C]317.1[/C][C]298.537180206195[/C][C]18.5628197938054[/C][/ROW]
[ROW][C]153[/C][C]309.8[/C][C]295.769788650969[/C][C]14.0302113490308[/C][/ROW]
[ROW][C]154[/C][C]303.8[/C][C]295.222177736111[/C][C]8.57782226388935[/C][/ROW]
[ROW][C]155[/C][C]290.3[/C][C]296.329996451356[/C][C]-6.02999645135616[/C][/ROW]
[ROW][C]156[/C][C]293.7[/C][C]293.412111293394[/C][C]0.287888706605963[/C][/ROW]
[ROW][C]157[/C][C]291.7[/C][C]290.268485731327[/C][C]1.43151426867322[/C][/ROW]
[ROW][C]158[/C][C]296.5[/C][C]287.030801667549[/C][C]9.46919833245094[/C][/ROW]
[ROW][C]159[/C][C]289.1[/C][C]290.903940333082[/C][C]-1.80394033308205[/C][/ROW]
[ROW][C]160[/C][C]288.5[/C][C]295.190936406141[/C][C]-6.69093640614115[/C][/ROW]
[ROW][C]161[/C][C]293.8[/C][C]292.160181046126[/C][C]1.63981895387357[/C][/ROW]
[ROW][C]162[/C][C]297.7[/C][C]289.279919288848[/C][C]8.42008071115151[/C][/ROW]
[ROW][C]163[/C][C]305.4[/C][C]286.625397935676[/C][C]18.7746020643244[/C][/ROW]
[ROW][C]164[/C][C]302.7[/C][C]283.952064882161[/C][C]18.7479351178393[/C][/ROW]
[ROW][C]165[/C][C]302.5[/C][C]295.933046395135[/C][C]6.56695360486468[/C][/ROW]
[ROW][C]166[/C][C]303[/C][C]294.538908964883[/C][C]8.46109103511737[/C][/ROW]
[ROW][C]167[/C][C]294.5[/C][C]292.034881214447[/C][C]2.46511878555350[/C][/ROW]
[ROW][C]168[/C][C]294.1[/C][C]289.380359861274[/C][C]4.7196401387264[/C][/ROW]
[ROW][C]169[/C][C]294.5[/C][C]287.120884215285[/C][C]7.37911578471531[/C][/ROW]
[ROW][C]170[/C][C]297.1[/C][C]285.105960673743[/C][C]11.9940393262571[/C][/ROW]
[ROW][C]171[/C][C]289.4[/C][C]287.587033513961[/C][C]1.81296648603879[/C][/ROW]
[ROW][C]172[/C][C]292.4[/C][C]294.620537836966[/C][C]-2.22053783696569[/C][/ROW]
[ROW][C]173[/C][C]287.9[/C][C]292.586802595082[/C][C]-4.68680259508187[/C][/ROW]
[ROW][C]174[/C][C]286.6[/C][C]290.553067353198[/C][C]-3.953067353198[/C][/ROW]
[ROW][C]175[/C][C]280.5[/C][C]288.613390613025[/C][C]-8.11339061302465[/C][/ROW]
[ROW][C]176[/C][C]272.4[/C][C]286.560843670799[/C][C]-14.1608436707987[/C][/ROW]
[ROW][C]177[/C][C]269.2[/C][C]283.887510617284[/C][C]-14.6875106172838[/C][/ROW]
[ROW][C]178[/C][C]270.6[/C][C]287.365603575633[/C][C]-16.7656035756328[/C][/ROW]
[ROW][C]179[/C][C]267.3[/C][C]286.366511852564[/C][C]-19.0665118525641[/C][/ROW]
[ROW][C]180[/C][C]262.5[/C][C]284.125847906917[/C][C]-21.6258479069173[/C][/ROW]
[ROW][C]181[/C][C]266.8[/C][C]284.274269904716[/C][C]-17.4742699047161[/C][/ROW]
[ROW][C]182[/C][C]268.8[/C][C]277.349492573888[/C][C]-8.54949257388833[/C][/ROW]
[ROW][C]183[/C][C]263.1[/C][C]273.998938308058[/C][C]-10.8989383080581[/C][/ROW]
[ROW][C]184[/C][C]261.2[/C][C]272.905788083279[/C][C]-11.7057880832789[/C][/ROW]
[ROW][C]185[/C][C]266[/C][C]271.831449558842[/C][C]-5.83144955884171[/C][/ROW]
[ROW][C]186[/C][C]262.5[/C][C]270.738299334062[/C][C]-8.23829933406247[/C][/ROW]
[ROW][C]187[/C][C]265.2[/C][C]263.738275201866[/C][C]1.46172479813363[/C][/ROW]
[ROW][C]188[/C][C]261.3[/C][C]257.584777585064[/C][C]3.71522241493562[/C][/ROW]
[ROW][C]189[/C][C]253.7[/C][C]256.679744363706[/C][C]-2.97974436370608[/C][/ROW]
[ROW][C]190[/C][C]249.2[/C][C]255.774711142348[/C][C]-6.57471114234778[/C][/ROW]
[ROW][C]191[/C][C]239.1[/C][C]254.907301321674[/C][C]-15.8073013216736[/C][/ROW]
[ROW][C]192[/C][C]236.4[/C][C]254.002268100315[/C][C]-17.6022681003153[/C][/ROW]
[ROW][C]193[/C][C]235.2[/C][C]253.210105081010[/C][C]-18.0101050810096[/C][/ROW]
[ROW][C]194[/C][C]245.2[/C][C]252.455565462388[/C][C]-7.25556546238798[/C][/ROW]
[ROW][C]195[/C][C]246.2[/C][C]251.719837544108[/C][C]-5.5198375441085[/C][/ROW]
[ROW][C]196[/C][C]247.7[/C][C]256.778113331193[/C][C]-9.07811333119333[/C][/ROW]
[ROW][C]197[/C][C]251.4[/C][C]257.547321440281[/C][C]-6.14732144028118[/C][/ROW]
[ROW][C]198[/C][C]253.3[/C][C]256.378924414134[/C][C]-3.07892441413358[/C][/ROW]
[ROW][C]199[/C][C]254.8[/C][C]255.586761394828[/C][C]-0.786761394827808[/C][/ROW]
[ROW][C]200[/C][C]250[/C][C]267.605366308487[/C][C]-17.6053663084867[/C][/ROW]
[ROW][C]201[/C][C]249.3[/C][C]266.719144787470[/C][C]-17.4191447874705[/C][/ROW]
[ROW][C]202[/C][C]241.5[/C][C]265.832923266454[/C][C]-24.3329232664542[/C][/ROW]
[ROW][C]203[/C][C]243.3[/C][C]265.454617654675[/C][C]-22.1546176546745[/C][/ROW]
[ROW][C]204[/C][C]248[/C][C]264.116915325448[/C][C]-16.1169153254481[/C][/ROW]
[ROW][C]205[/C][C]253[/C][C]263.381187407169[/C][C]-10.3811874071686[/C][/ROW]
[ROW][C]206[/C][C]252.9[/C][C]276.415624139300[/C][C]-23.5156241393004[/C][/ROW]
[ROW][C]207[/C][C]251.5[/C][C]313.52903730931[/C][C]-62.02903730931[/C][/ROW]
[ROW][C]208[/C][C]251.6[/C][C]311.476490367084[/C][C]-59.876490367084[/C][/ROW]
[ROW][C]209[/C][C]253.5[/C][C]310.044729536147[/C][C]-56.5447295361471[/C][/ROW]
[ROW][C]210[/C][C]259.8[/C][C]311.999074766787[/C][C]-52.1990747667868[/C][/ROW]
[ROW][C]211[/C][C]334.1[/C][C]309.739599120798[/C][C]24.3604008792022[/C][/ROW]
[ROW][C]212[/C][C]448[/C][C]346.758953789097[/C][C]101.241046210903[/C][/ROW]
[ROW][C]213[/C][C]445.8[/C][C]373.619990272666[/C][C]72.1800097273337[/C][/ROW]
[ROW][C]214[/C][C]445[/C][C]378.678266059751[/C][C]66.3217339402489[/C][/ROW]
[ROW][C]215[/C][C]448.2[/C][C]378.318772148313[/C][C]69.8812278516865[/C][/ROW]
[ROW][C]216[/C][C]438.2[/C][C]370.792020406539[/C][C]67.4079795934612[/C][/ROW]
[ROW][C]217[/C][C]439.8[/C][C]367.234537436946[/C][C]72.5654625630545[/C][/ROW]
[ROW][C]218[/C][C]423.4[/C][C]365.689906403956[/C][C]57.7100935960439[/C][/ROW]
[ROW][C]219[/C][C]410.8[/C][C]361.9254947306[/C][C]48.8745052694002[/C][/ROW]
[ROW][C]220[/C][C]408.4[/C][C]360.606604101715[/C][C]47.7933958982845[/C][/ROW]
[ROW][C]221[/C][C]406.7[/C][C]366.454971303168[/C][C]40.2450286968318[/C][/ROW]
[ROW][C]222[/C][C]405.9[/C][C]360.24503858534[/C][C]45.6549614146601[/C][/ROW]
[ROW][C]223[/C][C]402.7[/C][C]356.706367316089[/C][C]45.9936326839113[/C][/ROW]
[ROW][C]224[/C][C]405.1[/C][C]349.969706988682[/C][C]55.1302930113181[/C][/ROW]
[ROW][C]225[/C][C]399.6[/C][C]347.352809036193[/C][C]52.2471909638068[/C][/ROW]
[ROW][C]226[/C][C]386.5[/C][C]341.387428422812[/C][C]45.1125715771878[/C][/ROW]
[ROW][C]227[/C][C]381.4[/C][C]341.761590824716[/C][C]39.6384091752839[/C][/ROW]
[ROW][C]228[/C][C]375.2[/C][C]341.740707519436[/C][C]33.4592924805639[/C][/ROW]
[ROW][C]229[/C][C]357.7[/C][C]330.018946601375[/C][C]27.6810533986251[/C][/ROW]
[ROW][C]230[/C][C]359[/C][C]335.058410688118[/C][C]23.9415893118823[/C][/ROW]
[ROW][C]231[/C][C]355[/C][C]334.360306170522[/C][C]20.6396938294776[/C][/ROW]
[ROW][C]232[/C][C]352.7[/C][C]328.978088267746[/C][C]23.7219117322538[/C][/ROW]
[ROW][C]233[/C][C]344.4[/C][C]330.537387791202[/C][C]13.8626122087981[/C][/ROW]
[ROW][C]234[/C][C]343.8[/C][C]328.503652549318[/C][C]15.2963474506819[/C][/ROW]
[ROW][C]235[/C][C]338[/C][C]333.731233639482[/C][C]4.26876636051826[/C][/ROW]
[ROW][C]236[/C][C]339[/C][C]363.583330477444[/C][C]-24.5833304774438[/C][/ROW]
[ROW][C]237[/C][C]333.3[/C][C]367.362410641266[/C][C]-34.0624106412663[/C][/ROW]
[ROW][C]238[/C][C]334.4[/C][C]372.270192825614[/C][C]-37.8701928256145[/C][/ROW]
[ROW][C]239[/C][C]328.3[/C][C]372.493861624782[/C][C]-44.1938616247816[/C][/ROW]
[ROW][C]240[/C][C]330.7[/C][C]358.044404157117[/C][C]-27.3444041571171[/C][/ROW]
[ROW][C]241[/C][C]330[/C][C]349.14439829037[/C][C]-19.1443982903697[/C][/ROW]
[ROW][C]242[/C][C]331.6[/C][C]385.016239237801[/C][C]-53.4162392378012[/C][/ROW]
[ROW][C]243[/C][C]351.2[/C][C]467.729214037042[/C][C]-116.529214037042[/C][/ROW]
[ROW][C]244[/C][C]389.4[/C][C]449.159994194459[/C][C]-59.7599941944589[/C][/ROW]
[ROW][C]245[/C][C]410.9[/C][C]495.415893730725[/C][C]-84.5158937307251[/C][/ROW]
[ROW][C]246[/C][C]442.8[/C][C]495.677185930577[/C][C]-52.8771859305765[/C][/ROW]
[ROW][C]247[/C][C]462.8[/C][C]422.008495786007[/C][C]40.7915042139935[/C][/ROW]
[ROW][C]248[/C][C]466.9[/C][C]409.571890254946[/C][C]57.3281097450541[/C][/ROW]
[ROW][C]249[/C][C]461.7[/C][C]400.615449287172[/C][C]61.0845507128278[/C][/ROW]
[ROW][C]250[/C][C]439.2[/C][C]389.984766988952[/C][C]49.2152330110477[/C][/ROW]
[ROW][C]251[/C][C]430.3[/C][C]380.783773916731[/C][C]49.5162260832685[/C][/ROW]
[ROW][C]252[/C][C]416.1[/C][C]394.796419066652[/C][C]21.3035809333480[/C][/ROW]
[ROW][C]253[/C][C]402.5[/C][C]394.530983656925[/C][C]7.96901634307512[/C][/ROW]
[ROW][C]254[/C][C]397.3[/C][C]407.885219294872[/C][C]-10.5852192948723[/C][/ROW]
[ROW][C]255[/C][C]403.3[/C][C]379.703220577481[/C][C]23.5967794225194[/C][/ROW]
[ROW][C]256[/C][C]395.9[/C][C]383.012008232751[/C][C]12.8879917672491[/C][/ROW]
[ROW][C]257[/C][C]387.8[/C][C]361.545786537486[/C][C]26.2542134625139[/C][/ROW]
[ROW][C]258[/C][C]378.6[/C][C]358.740771581576[/C][C]19.8592284184235[/C][/ROW]
[ROW][C]259[/C][C]377.1[/C][C]360.751551913242[/C][C]16.3484480867576[/C][/ROW]
[ROW][C]260[/C][C]370.4[/C][C]358.586134768964[/C][C]11.8138652310360[/C][/ROW]
[ROW][C]261[/C][C]362[/C][C]342.895105078721[/C][C]19.1048949212786[/C][/ROW]
[ROW][C]262[/C][C]350.3[/C][C]339.958408220417[/C][C]10.3415917795829[/C][/ROW]
[ROW][C]263[/C][C]348.2[/C][C]350.321583503972[/C][C]-2.12158350397190[/C][/ROW]
[ROW][C]264[/C][C]344.6[/C][C]352.501669138717[/C][C]-7.90166913871663[/C][/ROW]
[ROW][C]265[/C][C]343.5[/C][C]350.35506369478[/C][C]-6.85506369478027[/C][/ROW]
[ROW][C]266[/C][C]342.8[/C][C]345.02928089303[/C][C]-2.22928089303035[/C][/ROW]
[ROW][C]267[/C][C]347.6[/C][C]347.378671830854[/C][C]0.2213281691461[/C][/ROW]
[ROW][C]268[/C][C]346.6[/C][C]344.742962178023[/C][C]1.85703782197685[/C][/ROW]
[ROW][C]269[/C][C]349.5[/C][C]341.825077020061[/C][C]7.674922979939[/C][/ROW]
[ROW][C]270[/C][C]342.1[/C][C]342.086369219912[/C][C]0.0136307800876341[/C][/ROW]
[ROW][C]271[/C][C]342[/C][C]331.004206113482[/C][C]10.9957938865177[/C][/ROW]
[ROW][C]272[/C][C]342.8[/C][C]326.355644524048[/C][C]16.4443554759523[/C][/ROW]
[ROW][C]273[/C][C]339.3[/C][C]318.603152378168[/C][C]20.6968476218321[/C][/ROW]
[ROW][C]274[/C][C]348.2[/C][C]318.695139274941[/C][C]29.5048607250595[/C][/ROW]
[ROW][C]275[/C][C]333.7[/C][C]335.473104375149[/C][C]-1.77310437514863[/C][/ROW]
[ROW][C]276[/C][C]334.7[/C][C]358.628235891326[/C][C]-23.9282358913259[/C][/ROW]
[ROW][C]277[/C][C]354[/C][C]341.37583507269[/C][C]12.6241649273103[/C][/ROW]
[ROW][C]278[/C][C]367.7[/C][C]331.949101596364[/C][C]35.7508984036363[/C][/ROW]
[ROW][C]279[/C][C]363.3[/C][C]334.147998931451[/C][C]29.1520010685494[/C][/ROW]
[ROW][C]280[/C][C]358.4[/C][C]326.451941886597[/C][C]31.9480581134029[/C][/ROW]
[ROW][C]281[/C][C]353.1[/C][C]324.437018345055[/C][C]28.6629816549447[/C][/ROW]
[ROW][C]282[/C][C]343.1[/C][C]314.445933858467[/C][C]28.6540661415334[/C][/ROW]
[ROW][C]283[/C][C]344.6[/C][C]313.992381445318[/C][C]30.6076185546815[/C][/ROW]
[ROW][C]284[/C][C]344.4[/C][C]306.634935006623[/C][C]37.7650649933774[/C][/ROW]
[ROW][C]285[/C][C]333.9[/C][C]305.203174175686[/C][C]28.6968258243142[/C][/ROW]
[ROW][C]286[/C][C]331.7[/C][C]307.496130012483[/C][C]24.2038699875169[/C][/ROW]
[ROW][C]287[/C][C]324.3[/C][C]310.108884755096[/C][C]14.1911152449041[/C][/ROW]
[ROW][C]288[/C][C]321.2[/C][C]307.397928300897[/C][C]13.8020716991032[/C][/ROW]
[ROW][C]289[/C][C]322.4[/C][C]301.432547687516[/C][C]20.9674523124842[/C][/ROW]
[ROW][C]290[/C][C]321.7[/C][C]289.654351668428[/C][C]32.0456483315717[/C][/ROW]
[ROW][C]291[/C][C]320.5[/C][C]290.197819373411[/C][C]30.3021806265889[/C][/ROW]
[ROW][C]292[/C][C]312.8[/C][C]296.365985480679[/C][C]16.4340145193207[/C][/ROW]
[ROW][C]293[/C][C]309.7[/C][C]303.869782312236[/C][C]5.83021768776388[/C][/ROW]
[ROW][C]294[/C][C]315.6[/C][C]283.964931745365[/C][C]31.6350682546351[/C][/ROW]
[ROW][C]295[/C][C]309.7[/C][C]283.379697429822[/C][C]26.3203025701778[/C][/ROW]
[ROW][C]296[/C][C]304.6[/C][C]284.694444848831[/C][C]19.9055551511693[/C][/ROW]
[ROW][C]297[/C][C]302.5[/C][C]286.535919877418[/C][C]15.9640801225822[/C][/ROW]
[ROW][C]298[/C][C]301.5[/C][C]275.660685474751[/C][C]25.8393145252492[/C][/ROW]
[ROW][C]299[/C][C]298.8[/C][C]281.433805874835[/C][C]17.3661941251649[/C][/ROW]
[ROW][C]300[/C][C]291.3[/C][C]279.832739740819[/C][C]11.4672602591806[/C][/ROW]
[ROW][C]301[/C][C]293.6[/C][C]283.988053911484[/C][C]9.61194608851624[/C][/ROW]
[ROW][C]302[/C][C]294.6[/C][C]281.371155958995[/C][C]13.2288440410049[/C][/ROW]
[ROW][C]303[/C][C]285.9[/C][C]291.245227033656[/C][C]-5.34522703365551[/C][/ROW]
[ROW][C]304[/C][C]297.6[/C][C]297.168841036477[/C][C]0.431158963523477[/C][/ROW]
[ROW][C]305[/C][C]301.1[/C][C]286.143113031073[/C][C]14.9568869689273[/C][/ROW]
[ROW][C]306[/C][C]293.8[/C][C]281.41930464027[/C][C]12.3806953597302[/C][/ROW]
[ROW][C]307[/C][C]297.7[/C][C]268.568841701683[/C][C]29.1311582983169[/C][/ROW]
[ROW][C]308[/C][C]292.9[/C][C]265.255910836537[/C][C]27.644089163463[/C][/ROW]
[ROW][C]309[/C][C]292.1[/C][C]275.619086120092[/C][C]16.4809138799083[/C][/ROW]
[ROW][C]310[/C][C]287.2[/C][C]275.767508117891[/C][C]11.4324918821094[/C][/ROW]
[ROW][C]311[/C][C]288.2[/C][C]282.236661430632[/C][C]5.96333856936767[/C][/ROW]
[ROW][C]312[/C][C]283.8[/C][C]268.972341084520[/C][C]14.8276589154804[/C][/ROW]
[ROW][C]313[/C][C]299.9[/C][C]277.059300626681[/C][C]22.8406993733187[/C][/ROW]
[ROW][C]314[/C][C]292.4[/C][C]274.611707977271[/C][C]17.7882920227286[/C][/ROW]
[ROW][C]315[/C][C]293.3[/C][C]268.702762464917[/C][C]24.5972375350834[/C][/ROW]
[ROW][C]316[/C][C]300.8[/C][C]273.742226551659[/C][C]27.0577734483407[/C][/ROW]
[ROW][C]317[/C][C]293.7[/C][C]276.731215301114[/C][C]16.9687846988859[/C][/ROW]
[ROW][C]318[/C][C]293.1[/C][C]270.427224081575[/C][C]22.6727759184247[/C][/ROW]
[ROW][C]319[/C][C]294.4[/C][C]278.062702815527[/C][C]16.3372971844732[/C][/ROW]
[ROW][C]320[/C][C]292.1[/C][C]272.699296613093[/C][C]19.4007033869073[/C][/ROW]
[ROW][C]321[/C][C]291.9[/C][C]273.73186852697[/C][C]18.1681314730301[/C][/ROW]
[ROW][C]322[/C][C]282.5[/C][C]271.604074783376[/C][C]10.8959252166244[/C][/ROW]
[ROW][C]323[/C][C]277.9[/C][C]273.313867909568[/C][C]4.58613209043196[/C][/ROW]
[ROW][C]324[/C][C]287.5[/C][C]276.265233258339[/C][C]11.2347667416614[/C][/ROW]
[ROW][C]325[/C][C]289.2[/C][C]288.415520074392[/C][C]0.78447992560794[/C][/ROW]
[ROW][C]326[/C][C]285.6[/C][C]289.090669681769[/C][C]-3.49066968176945[/C][/ROW]
[ROW][C]327[/C][C]293.2[/C][C]293.753899761670[/C][C]-0.553899761670378[/C][/ROW]
[ROW][C]328[/C][C]290.8[/C][C]290.083546590025[/C][C]0.71645340997548[/C][/ROW]
[ROW][C]329[/C][C]283.1[/C][C]293.204217241874[/C][C]-10.1042172418739[/C][/ROW]
[ROW][C]330[/C][C]275[/C][C]303.548580825087[/C][C]-28.5485808250866[/C][/ROW]
[ROW][C]331[/C][C]287.8[/C][C]287.838739434502[/C][C]-0.0387394345018786[/C][/ROW]
[ROW][C]332[/C][C]287.8[/C][C]289.830708065826[/C][C]-2.03070806582573[/C][/ROW]
[ROW][C]333[/C][C]287.4[/C][C]302.771086296247[/C][C]-15.3710862962471[/C][/ROW]
[ROW][C]334[/C][C]284[/C][C]300.756162754705[/C][C]-16.7561627547054[/C][/ROW]
[ROW][C]335[/C][C]277.8[/C][C]316.348990733362[/C][C]-38.5489907333617[/C][/ROW]
[ROW][C]336[/C][C]277.6[/C][C]334.613080160595[/C][C]-57.0130801605951[/C][/ROW]
[ROW][C]337[/C][C]304.9[/C][C]336.210003084735[/C][C]-31.310003084735[/C][/ROW]
[ROW][C]338[/C][C]294[/C][C]362.092831150516[/C][C]-68.0928311505156[/C][/ROW]
[ROW][C]339[/C][C]300.9[/C][C]388.483575125533[/C][C]-87.5835751255327[/C][/ROW]
[ROW][C]340[/C][C]324[/C][C]374.617280368473[/C][C]-50.6172803684731[/C][/ROW]
[ROW][C]341[/C][C]332.9[/C][C]369.347932667749[/C][C]-36.4479326677494[/C][/ROW]
[ROW][C]342[/C][C]341.6[/C][C]356.610339931215[/C][C]-15.0103399312152[/C][/ROW]
[ROW][C]343[/C][C]333.4[/C][C]338.304483893422[/C][C]-4.9044838934219[/C][/ROW]
[ROW][C]344[/C][C]348.2[/C][C]338.340035689168[/C][C]9.85996431083183[/C][/ROW]
[ROW][C]345[/C][C]344.7[/C][C]329.534088324131[/C][C]15.1659116758688[/C][/ROW]
[ROW][C]346[/C][C]344.7[/C][C]348.061541556154[/C][C]-3.36154155615392[/C][/ROW]
[ROW][C]347[/C][C]329.3[/C][C]355.283162882579[/C][C]-25.9831628825793[/C][/ROW]
[ROW][C]348[/C][C]323.5[/C][C]355.563266782773[/C][C]-32.0632667827728[/C][/ROW]
[ROW][C]349[/C][C]323.2[/C][C]384.512402004314[/C][C]-61.3124020043144[/C][/ROW]
[ROW][C]350[/C][C]317.4[/C][C]366.959013980205[/C][C]-49.5590139802047[/C][/ROW]
[ROW][C]351[/C][C]330.1[/C][C]355.726357271038[/C][C]-25.6263572710379[/C][/ROW]
[ROW][C]352[/C][C]329.2[/C][C]358.075748208862[/C][C]-28.8757482088615[/C][/ROW]
[ROW][C]353[/C][C]334.9[/C][C]351.696510187954[/C][C]-16.7965101879545[/C][/ROW]
[ROW][C]354[/C][C]315.8[/C][C]338.695553646631[/C][C]-22.895553646631[/C][/ROW]
[ROW][C]355[/C][C]315.4[/C][C]341.176626486849[/C][C]-25.7766264868493[/C][/ROW]
[ROW][C]356[/C][C]319.6[/C][C]352.856620794350[/C][C]-33.2566207943504[/C][/ROW]
[ROW][C]357[/C][C]317.3[/C][C]346.025901965233[/C][C]-28.7259019652331[/C][/ROW]
[ROW][C]358[/C][C]313.8[/C][C]343.503062514455[/C][C]-29.7030625144549[/C][/ROW]
[ROW][C]359[/C][C]315.8[/C][C]366.564135528922[/C][C]-50.7641355289218[/C][/ROW]
[ROW][C]360[/C][C]311.3[/C][C]381.348060392868[/C][C]-70.0480603928681[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=93490&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=93490&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
1255300.035129673362-45.0351296733621
2280.2300.183551671168-19.9835516711679
3299.9299.974551362467-0.0745513624672363
4339.2299.80317445445139.3968255455493
5374.2301.2119803751772.9880196248303
6393.5307.24846458004386.2515354199567
7389.2307.34045147681681.8595485231842
8381.7306.75521716127374.944782838727
9375.2305.49276163341569.707238366585
10369304.49366991034664.5063300896538
11357.4303.64507179001453.7549282099858
12352.1302.68360346763049.4163965323704
13346.5301.42114793977245.0788520602285
14342.9301.09927742901841.8007225709819
15340.3300.45760801244939.8423919875509
16328.3299.89118539724828.4088146027516
17322.9299.36238618273223.5376138172681
18314.3298.87121036890015.4287896311004
19308.9298.41765795575210.4823420442484
20294297.945293842261-3.94529384226133
21285.6296.720461715087-11.1204617150874
22281.2294.780784974914-13.5807849749141
23280.3293.273777342609-12.9737773426088
24278.8291.992510114409-13.1925101144087
25274.5290.805301387919-16.3053013879190
26270.4287.906227930299-17.5062279302989
27263.4270.390463306873-6.99046330687342
28259.9269.222066280726-9.32206628072581
29258271.797197622654-13.7971976226545
30262.7279.263371053527-16.5633710535271
31284.7282.8919576146131.80804238538704
32311.3286.78390798048824.5160920195119
33322.1294.04315270759828.0568472924024
34327297.0133297567129.9866702432897
35331.3299.55083769795531.7491623020452
36333.3301.12894892175332.1710510782474
37321.4301.55954642468319.8404535753171
38327299.84561008861527.1543899113854
39320298.80889496486221.1911050351384
40314.7304.24340475878810.4565952412117
41316.7302.24729291758914.4527070824113
42314.4300.13831087433614.2616891256635
43321.3298.89466704682022.4053329531795
44318.2297.38765941451520.8123405854848
45307.2295.84302838152611.3569716184742
46301.3293.9033516413527.3966483586476
47287.5291.926051500495-4.42605150049486
48277.7297.322937893737-19.6229378937373
49274.4296.643645076484-22.2436450764842
50258.8294.929708740416-36.1297087404159
51253.3293.535571310163-40.2355713101631
52251292.329550883331-41.3295508833314
53248.4291.010660254447-42.610660254447
54249.5289.353159019405-39.8531590194050
55246.1287.714469484705-41.6144694847051
56244.5285.962909747953-41.4629097479527
57243.6284.267785112227-40.6677851122265
58244291.545841539678-47.5458415396782
59240.8296.265506720605-55.4655067206054
60249.8294.927804391379-45.1278043913789
61248292.894069149495-44.8940691494951
62259.4291.217756214111-31.8177562141111
63260.5297.686909526853-37.1869095268528
64260.8297.722461322599-36.922461322599
65261.3295.895654784478-34.5956547844782
66259.5293.937166343963-34.4371663439628
67256.6292.392535310973-35.7925353109733
68257.9290.4528585708-32.5528585708
69256.5288.851792436784-32.3517924367842
70254.2300.21198783847-46.0119878384699
71253.3297.237667579481-43.9376675794814
72253.8294.376217522546-40.5762175225455
73255.5292.173176977583-36.6731769775829
74257.1289.951324732278-32.8513247322781
75257.3287.353238480132-30.0532384801316
76253.2290.680837835744-37.4808378357439
77252.8290.170850321570-37.3708503215696
78252287.704445971818-35.7044459718176
79250.7285.294476723092-34.5944767230920
80252.2282.621143669577-30.421143669577
81250287.66060775632-37.6606077563197
82251288.787238171907-37.7872381719073
83253.4288.239627257049-34.8396272570488
84251.2285.641541004902-34.4415410049022
85255.6285.169176891412-29.569176891412
86261.1282.627525740292-21.5275257402916
87258.9281.007647905934-22.1076479059339
88259.9281.099634802706-21.1996348027064
89261.2280.608458988874-19.4084589888741
90264.7279.534120464437-14.8341204644370
91267.1276.691482107843-9.59148210784316
92266.4279.642847456614-13.2428474566138
93267.7280.807101272886-13.1071012728855
94268.6278.284261822107-9.68426182210727
95267.5277.002994593907-9.50299459390716
96268.5278.599917518047-10.0999175180471
97268.5276.039454666585-7.53945466658466
98270.5272.914640804859-2.41464080485948
99270.9275.753135951577-4.8531359515775
100270.1269.9006255402490.199374459751041
101269.3264.8005831426044.49941685739586
102269.8268.1093707978741.69062920212556
103270.1264.4578293265715.64217067342932
104264.9261.4458856668983.45411433310189
105263.7265.018037126958-1.31803712695767
106264.8261.6486711607853.15132883921470
107263.7267.967330870790-4.2673308707903
108255.9268.078129467905-12.1781294679049
109276.2278.742291956933-2.54229195693319
110360.1296.98756968382463.1124303161756
111380.5324.75156778381455.7484322161857
112373.7327.55243952984846.1475604701519
113369.8329.58203156185640.2179684381439
114366.6327.77403672407738.8259632759226
115359.3324.91258666714234.3874133328585
116345.8322.14519511191623.6548048880839
117326.2318.9075110481387.29248895186161
118324.5316.8361524055707.66384759442962
119328.1318.9598029392899.14019706071116
120327.5315.74093057585311.7590694241468
121324.4312.89829221925911.5017077807405
122316.5310.3754527684816.12454723151876
123310.9307.645684613943.25431538605998
124301.5305.066410062136-3.56641006213549
125291.7302.487135510331-10.787135510331
126290.4300.208848164-9.808848164
127287.4297.892937416985-10.4929374169848
128277.7295.859202175101-18.1592021751009
129281.6294.051207337322-12.4512073373222
130288297.002572686093-9.00257268609272
131276300.254925240337-24.2549252403367
132272.9298.540988904268-25.6409889042685
133283298.915151306172-15.9151513061724
134283.3302.675419769653-19.3754197696529
135276.8299.625852709296-22.8258527092961
136284.5301.316834135147-16.8168341351465
137282.7300.223683910367-17.5236839103673
138281.2297.249363651379-16.0493636513788
139287.4294.613653998548-7.21365399854807
140283.1292.053191147086-8.9531911470856
141284289.417481494255-5.41748149425486
142285.5292.14310643892-6.64310643892028
143289.2300.436994684845-11.2369946848450
144292.5297.895343533725-5.39534353372463
145296.4298.175447433918-1.77544743391814
146305.2292.62392422806312.5760757719369
147303.9291.09810489541612.8018951045842
148311.5303.3988853142068.10111468579404
149316.3300.36812995419115.9318700458087
150316.7302.05911138004214.6408886199584
151322.5301.21051325971021.2894867402904
152317.1298.53718020619518.5628197938054
153309.8295.76978865096914.0302113490308
154303.8295.2221777361118.57782226388935
155290.3296.329996451356-6.02999645135616
156293.7293.4121112933940.287888706605963
157291.7290.2684857313271.43151426867322
158296.5287.0308016675499.46919833245094
159289.1290.903940333082-1.80394033308205
160288.5295.190936406141-6.69093640614115
161293.8292.1601810461261.63981895387357
162297.7289.2799192888488.42008071115151
163305.4286.62539793567618.7746020643244
164302.7283.95206488216118.7479351178393
165302.5295.9330463951356.56695360486468
166303294.5389089648838.46109103511737
167294.5292.0348812144472.46511878555350
168294.1289.3803598612744.7196401387264
169294.5287.1208842152857.37911578471531
170297.1285.10596067374311.9940393262571
171289.4287.5870335139611.81296648603879
172292.4294.620537836966-2.22053783696569
173287.9292.586802595082-4.68680259508187
174286.6290.553067353198-3.953067353198
175280.5288.613390613025-8.11339061302465
176272.4286.560843670799-14.1608436707987
177269.2283.887510617284-14.6875106172838
178270.6287.365603575633-16.7656035756328
179267.3286.366511852564-19.0665118525641
180262.5284.125847906917-21.6258479069173
181266.8284.274269904716-17.4742699047161
182268.8277.349492573888-8.54949257388833
183263.1273.998938308058-10.8989383080581
184261.2272.905788083279-11.7057880832789
185266271.831449558842-5.83144955884171
186262.5270.738299334062-8.23829933406247
187265.2263.7382752018661.46172479813363
188261.3257.5847775850643.71522241493562
189253.7256.679744363706-2.97974436370608
190249.2255.774711142348-6.57471114234778
191239.1254.907301321674-15.8073013216736
192236.4254.002268100315-17.6022681003153
193235.2253.210105081010-18.0101050810096
194245.2252.455565462388-7.25556546238798
195246.2251.719837544108-5.5198375441085
196247.7256.778113331193-9.07811333119333
197251.4257.547321440281-6.14732144028118
198253.3256.378924414134-3.07892441413358
199254.8255.586761394828-0.786761394827808
200250267.605366308487-17.6053663084867
201249.3266.719144787470-17.4191447874705
202241.5265.832923266454-24.3329232664542
203243.3265.454617654675-22.1546176546745
204248264.116915325448-16.1169153254481
205253263.381187407169-10.3811874071686
206252.9276.415624139300-23.5156241393004
207251.5313.52903730931-62.02903730931
208251.6311.476490367084-59.876490367084
209253.5310.044729536147-56.5447295361471
210259.8311.999074766787-52.1990747667868
211334.1309.73959912079824.3604008792022
212448346.758953789097101.241046210903
213445.8373.61999027266672.1800097273337
214445378.67826605975166.3217339402489
215448.2378.31877214831369.8812278516865
216438.2370.79202040653967.4079795934612
217439.8367.23453743694672.5654625630545
218423.4365.68990640395657.7100935960439
219410.8361.925494730648.8745052694002
220408.4360.60660410171547.7933958982845
221406.7366.45497130316840.2450286968318
222405.9360.2450385853445.6549614146601
223402.7356.70636731608945.9936326839113
224405.1349.96970698868255.1302930113181
225399.6347.35280903619352.2471909638068
226386.5341.38742842281245.1125715771878
227381.4341.76159082471639.6384091752839
228375.2341.74070751943633.4592924805639
229357.7330.01894660137527.6810533986251
230359335.05841068811823.9415893118823
231355334.36030617052220.6396938294776
232352.7328.97808826774623.7219117322538
233344.4330.53738779120213.8626122087981
234343.8328.50365254931815.2963474506819
235338333.7312336394824.26876636051826
236339363.583330477444-24.5833304774438
237333.3367.362410641266-34.0624106412663
238334.4372.270192825614-37.8701928256145
239328.3372.493861624782-44.1938616247816
240330.7358.044404157117-27.3444041571171
241330349.14439829037-19.1443982903697
242331.6385.016239237801-53.4162392378012
243351.2467.729214037042-116.529214037042
244389.4449.159994194459-59.7599941944589
245410.9495.415893730725-84.5158937307251
246442.8495.677185930577-52.8771859305765
247462.8422.00849578600740.7915042139935
248466.9409.57189025494657.3281097450541
249461.7400.61544928717261.0845507128278
250439.2389.98476698895249.2152330110477
251430.3380.78377391673149.5162260832685
252416.1394.79641906665221.3035809333480
253402.5394.5309836569257.96901634307512
254397.3407.885219294872-10.5852192948723
255403.3379.70322057748123.5967794225194
256395.9383.01200823275112.8879917672491
257387.8361.54578653748626.2542134625139
258378.6358.74077158157619.8592284184235
259377.1360.75155191324216.3484480867576
260370.4358.58613476896411.8138652310360
261362342.89510507872119.1048949212786
262350.3339.95840822041710.3415917795829
263348.2350.321583503972-2.12158350397190
264344.6352.501669138717-7.90166913871663
265343.5350.35506369478-6.85506369478027
266342.8345.02928089303-2.22928089303035
267347.6347.3786718308540.2213281691461
268346.6344.7429621780231.85703782197685
269349.5341.8250770200617.674922979939
270342.1342.0863692199120.0136307800876341
271342331.00420611348210.9957938865177
272342.8326.35564452404816.4443554759523
273339.3318.60315237816820.6968476218321
274348.2318.69513927494129.5048607250595
275333.7335.473104375149-1.77310437514863
276334.7358.628235891326-23.9282358913259
277354341.3758350726912.6241649273103
278367.7331.94910159636435.7508984036363
279363.3334.14799893145129.1520010685494
280358.4326.45194188659731.9480581134029
281353.1324.43701834505528.6629816549447
282343.1314.44593385846728.6540661415334
283344.6313.99238144531830.6076185546815
284344.4306.63493500662337.7650649933774
285333.9305.20317417568628.6968258243142
286331.7307.49613001248324.2038699875169
287324.3310.10888475509614.1911152449041
288321.2307.39792830089713.8020716991032
289322.4301.43254768751620.9674523124842
290321.7289.65435166842832.0456483315717
291320.5290.19781937341130.3021806265889
292312.8296.36598548067916.4340145193207
293309.7303.8697823122365.83021768776388
294315.6283.96493174536531.6350682546351
295309.7283.37969742982226.3203025701778
296304.6284.69444484883119.9055551511693
297302.5286.53591987741815.9640801225822
298301.5275.66068547475125.8393145252492
299298.8281.43380587483517.3661941251649
300291.3279.83273974081911.4672602591806
301293.6283.9880539114849.61194608851624
302294.6281.37115595899513.2288440410049
303285.9291.245227033656-5.34522703365551
304297.6297.1688410364770.431158963523477
305301.1286.14311303107314.9568869689273
306293.8281.4193046402712.3806953597302
307297.7268.56884170168329.1311582983169
308292.9265.25591083653727.644089163463
309292.1275.61908612009216.4809138799083
310287.2275.76750811789111.4324918821094
311288.2282.2366614306325.96333856936767
312283.8268.97234108452014.8276589154804
313299.9277.05930062668122.8406993733187
314292.4274.61170797727117.7882920227286
315293.3268.70276246491724.5972375350834
316300.8273.74222655165927.0577734483407
317293.7276.73121530111416.9687846988859
318293.1270.42722408157522.6727759184247
319294.4278.06270281552716.3372971844732
320292.1272.69929661309319.4007033869073
321291.9273.7318685269718.1681314730301
322282.5271.60407478337610.8959252166244
323277.9273.3138679095684.58613209043196
324287.5276.26523325833911.2347667416614
325289.2288.4155200743920.78447992560794
326285.6289.090669681769-3.49066968176945
327293.2293.753899761670-0.553899761670378
328290.8290.0835465900250.71645340997548
329283.1293.204217241874-10.1042172418739
330275303.548580825087-28.5485808250866
331287.8287.838739434502-0.0387394345018786
332287.8289.830708065826-2.03070806582573
333287.4302.771086296247-15.3710862962471
334284300.756162754705-16.7561627547054
335277.8316.348990733362-38.5489907333617
336277.6334.613080160595-57.0130801605951
337304.9336.210003084735-31.310003084735
338294362.092831150516-68.0928311505156
339300.9388.483575125533-87.5835751255327
340324374.617280368473-50.6172803684731
341332.9369.347932667749-36.4479326677494
342341.6356.610339931215-15.0103399312152
343333.4338.304483893422-4.9044838934219
344348.2338.3400356891689.85996431083183
345344.7329.53408832413115.1659116758688
346344.7348.061541556154-3.36154155615392
347329.3355.283162882579-25.9831628825793
348323.5355.563266782773-32.0632667827728
349323.2384.512402004314-61.3124020043144
350317.4366.959013980205-49.5590139802047
351330.1355.726357271038-25.6263572710379
352329.2358.075748208862-28.8757482088615
353334.9351.696510187954-16.7965101879545
354315.8338.695553646631-22.895553646631
355315.4341.176626486849-25.7766264868493
356319.6352.856620794350-33.2566207943504
357317.3346.025901965233-28.7259019652331
358313.8343.503062514455-29.7030625144549
359315.8366.564135528922-50.7641355289218
360311.3381.348060392868-70.0480603928681







Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
60.01690540382644760.03381080765289520.983094596173552
70.06297081618662010.1259416323732400.93702918381338
80.2468436518234000.4936873036467990.7531563481766
90.4251576974312160.8503153948624310.574842302568785
100.4677697141539960.9355394283079910.532230285846004
110.4610604074917270.9221208149834540.538939592508273
120.4003731797869160.8007463595738310.599626820213084
130.3211749075347320.6423498150694640.678825092465268
140.2523575018355130.5047150036710250.747642498164487
150.1908318487250790.3816636974501570.809168151274921
160.1470318482370310.2940636964740620.852968151762969
170.1102823192582600.2205646385165200.88971768074174
180.08381734563411140.1676346912682230.916182654365889
190.06230529238500750.1246105847700150.937694707614993
200.05352937837540.10705875675080.9464706216246
210.03909306240521060.07818612481042130.96090693759479
220.02603838380723050.05207676761446090.97396161619277
230.02077027735125170.04154055470250350.979229722648748
240.01945762723974150.0389152544794830.980542372760258
250.01847463327530440.03694926655060890.981525366724695
260.03091498465702480.06182996931404950.969085015342975
270.5894766904059480.8210466191881040.410523309594052
280.6617034554679920.6765930890640150.338296544532008
290.6360117912398350.727976417520330.363988208760165
300.5817763353056770.8364473293886460.418223664694323
310.5362036206834520.9275927586330960.463796379316548
320.5235085437677210.9529829124645580.476491456232279
330.4822019159035770.9644038318071540.517798084096423
340.4372929785073130.8745859570146260.562707021492687
350.3938151971873350.787630394374670.606184802812665
360.3531914220119190.7063828440238390.646808577988081
370.3210498627125610.6420997254251210.67895013728744
380.2828687274310990.5657374548621990.7171312725689
390.2467918649998870.4935837299997730.753208135000113
400.2364208240892290.4728416481784580.763579175910771
410.2092724786555380.4185449573110760.790727521344462
420.1799861188554350.3599722377108690.820013881144565
430.1538561212275590.3077122424551180.846143878772441
440.1306163081866970.2612326163733940.869383691813303
450.1082074747502830.2164149495005660.891792525249717
460.08844054408943180.1768810881788640.911559455910568
470.07258518808909760.1451703761781950.927414811910902
480.0776704173803730.1553408347607460.922329582619627
490.08022848965330990.1604569793066200.91977151034669
500.09512700876469850.1902540175293970.904872991235302
510.1081913449750570.2163826899501140.891808655024943
520.1145327487252120.2290654974504240.885467251274788
530.1151221761952500.2302443523905010.88487782380475
540.1058383314951410.2116766629902810.89416166850486
550.09503814210565830.1900762842113170.904961857894342
560.08247993117661350.1649598623532270.917520068823387
570.06972928771881720.1394585754376340.930270712281183
580.06812850765537810.1362570153107560.931871492344622
590.08235956115584740.1647191223116950.917640438844153
600.07805787675910910.1561157535182180.92194212324089
610.0704584759582120.1409169519164240.929541524041788
620.05864002639546480.1172800527909300.941359973604535
630.05087365721655750.1017473144331150.949126342783442
640.04347813208863400.08695626417726810.956521867911366
650.03597082210959150.0719416442191830.964029177890409
660.02956292122552790.05912584245105570.970437078774472
670.02435958686533700.04871917373067400.975640413134663
680.02045144859257710.04090289718515420.979548551407423
690.01754680888176180.03509361776352350.982453191118238
700.01621571643937730.03243143287875450.983784283560623
710.01391084193244000.02782168386488010.98608915806756
720.01154749907813340.02309499815626690.988452500921867
730.009717578036593650.01943515607318730.990282421963406
740.008650691008994140.01730138201798830.991349308991006
750.008408994682119390.01681798936423880.99159100531788
760.007236807577222190.01447361515444440.992763192422778
770.006306092870513640.01261218574102730.993693907129486
780.00582496057906610.01164992115813220.994175039420934
790.005756685737223630.01151337147444730.994243314262776
800.00646329180713660.01292658361427320.993536708192863
810.00590736266214380.01181472532428760.994092637337856
820.005338944785341540.01067788957068310.994661055214658
830.00499199402322120.00998398804644240.995008005976779
840.004957355007152320.009914710014304640.995042644992848
850.00528479424117410.01056958848234820.994715205758826
860.006912274930053260.01382454986010650.993087725069947
870.008990870507212410.01798174101442480.991009129492788
880.01135695668567500.02271391337135000.988643043314325
890.01442553592003750.0288510718400750.985574464079962
900.01959075838762470.03918151677524930.980409241612375
910.02953027269474790.05906054538949570.970469727305252
920.03636720393957630.07273440787915270.963632796060424
930.04256462665645650.0851292533129130.957435373343543
940.05263773082402510.1052754616480500.947362269175975
950.06369479382526620.1273895876505320.936305206174734
960.07263100220478170.1452620044095630.927368997795218
970.08522791564789790.1704558312957960.914772084352102
980.1055337189599260.2110674379198520.894466281040074
990.1192450008119640.2384900016239290.880754999188035
1000.1425373567079940.2850747134159880.857462643292006
1010.1727187075066180.3454374150132350.827281292493382
1020.1916550700522220.3833101401044450.808344929947778
1030.2137961974662200.4275923949324410.78620380253378
1040.2259733616939860.4519467233879730.774026638306013
1050.2277158961499850.455431792299970.772284103850015
1060.2314740498542370.4629480997084740.768525950145763
1070.2265662418055110.4531324836110230.773433758194489
1080.2150990176931100.4301980353862190.78490098230689
1090.2165613551010220.4331227102020440.783438644898978
1100.4657678955508980.9315357911017960.534232104449102
1110.6049058448873530.7901883102252930.395094155112647
1120.6424377887044580.7151244225910840.357562211295542
1130.6458299813900750.7083400372198510.354170018609925
1140.6421693418938450.715661316212310.357830658106155
1150.6305062992399970.7389874015200060.369493700760003
1160.6063261736811860.7873476526376270.393673826318814
1170.5756530454464410.8486939091071180.424346954553559
1180.5442038096649360.9115923806701280.455796190335064
1190.5127473526378180.9745052947243640.487252647362182
1200.4819897095996050.963979419199210.518010290400395
1210.4518671748564240.9037343497128470.548132825143576
1220.4206838901686370.8413677803372740.579316109831363
1230.389902293147570.779804586295140.61009770685243
1240.3603118741699730.7206237483399460.639688125830027
1250.3341529334616470.6683058669232940.665847066538353
1260.3079935830087500.6159871660175010.69200641699125
1270.2830094509155220.5660189018310450.716990549084478
1280.2629601426106290.5259202852212570.737039857389371
1290.2408890338792430.4817780677584850.759110966120757
1300.2189584994101420.4379169988202840.781041500589858
1310.2084560456162690.4169120912325380.791543954383731
1320.1989433551419220.3978867102838440.801056644858078
1330.1823228046514750.3646456093029490.817677195348525
1340.1696547519914150.339309503982830.830345248008585
1350.1594159195588780.3188318391177560.840584080441122
1360.1461087726921430.2922175453842850.853891227307857
1370.1339050880739520.2678101761479040.866094911926048
1380.1217660290414050.2435320580828100.878233970958595
1390.1094621193522270.2189242387044540.890537880647773
1400.09863071953122220.1972614390624440.901369280468778
1410.08956103758572820.1791220751714560.910438962414272
1420.08033933501659810.1606786700331960.919660664983402
1430.07136740441421150.1427348088284230.928632595585788
1440.06291778518720470.1258355703744090.937082214812795
1450.05536715995476330.1107343199095270.944632840045237
1460.05309530910901670.1061906182180330.946904690890983
1470.05122634844806160.1024526968961230.948773651551938
1480.04491122355308390.08982244710616790.955088776446916
1490.04143813821683810.08287627643367620.958561861783162
1500.03737190579979050.0747438115995810.96262809420021
1510.03546592573077400.07093185146154790.964534074269226
1520.03327632370870730.06655264741741460.966723676291293
1530.03051050184743460.06102100369486920.969489498152565
1540.02700127494663680.05400254989327360.972998725053363
1550.02307118407476240.04614236814952480.976928815925238
1560.01982341413363260.03964682826726520.980176585866367
1570.01723385287271660.03446770574543330.982766147127283
1580.01588196330406000.03176392660812010.98411803669594
1590.01355254278800780.02710508557601550.986447457211992
1600.01143133305520430.02286266611040870.988568666944796
1610.009710831532906570.01942166306581310.990289168467093
1620.008607083817234910.01721416763446980.991392916182765
1630.008538615384177830.01707723076835570.991461384615822
1640.00859681609638460.01719363219276920.991403183903615
1650.007181816389315440.01436363277863090.992818183610685
1660.006051384323853620.01210276864770720.993948615676146
1670.005020495261936750.01004099052387350.994979504738063
1680.004223793292463190.008447586584926380.995776206707537
1690.003628777094417060.007257554188834130.996371222905583
1700.003253381658807500.006506763317614990.996746618341192
1710.002690792523029660.005381585046059310.99730920747697
1720.002168500436227420.004337000872454840.997831499563773
1730.001754449545410390.003508899090820780.99824555045459
1740.001417464683897200.002834929367794400.998582535316103
1750.001158046067895420.002316092135790830.998841953932105
1760.000976571040594080.001953142081188160.999023428959406
1770.0008285342871380830.001657068574276170.999171465712862
1780.0007166233797438230.001433246759487650.999283376620256
1790.000635681039612080.001271362079224160.999364318960388
1800.0005817468826399950.001163493765279990.99941825311736
1810.0005137546707189570.001027509341437910.999486245329281
1820.000442125044345810.000884250088691620.999557874955654
1830.0003894575866167580.0007789151732335170.999610542413383
1840.0003468824052612150.000693764810522430.999653117594739
1850.0003098284466743730.0006196568933487460.999690171553326
1860.0002788433540119160.0005576867080238320.999721156645988
1870.0002742142745082340.0005484285490164680.999725785725492
1880.0002889612309653330.0005779224619306670.999711038769035
1890.0002873883203318550.000574776640663710.999712611679668
1900.0002829495398554440.0005658990797108870.999717050460144
1910.0002873828008518510.0005747656017037030.999712617199148
1920.0003022593744705360.0006045187489410720.99969774062553
1930.0003279846570834940.0006559693141669890.999672015342916
1940.0003446989610851810.0006893979221703620.999655301038915
1950.0003663046202003460.0007326092404006920.9996336953798
1960.0003865315218327050.000773063043665410.999613468478167
1970.0004074943277706380.0008149886555412760.99959250567223
1980.0004351586025122130.0008703172050244260.999564841397488
1990.0004716563558415590.0009433127116831180.999528343644158
2000.0005833515900676410.001166703180135280.999416648409932
2010.0007580945704912460.001516189140982490.999241905429509
2020.001206118931102090.002412237862204180.998793881068898
2030.001969697661141530.003939395322283060.998030302338858
2040.003090104119687920.006180208239375840.996909895880312
2050.004737943642410140.009475887284820280.99526205635759
2060.009379371032085020.01875874206417000.990620628967915
2070.05913467979894520.1182693595978900.940865320201055
2080.2309789186438180.4619578372876350.769021081356182
2090.5553727712495650.889254457500870.444627228750435
2100.854505370153460.2909892596930810.145494629846540
2110.8682073909318520.2635852181362950.131792609068148
2120.9470871185127630.1058257629744750.0529128814872373
2130.9588965223464920.08220695530701690.0411034776535085
2140.9654941977410680.06901160451786460.0345058022589323
2150.973874856985030.05225028602994070.0261251430149703
2160.9790901141846450.04181977163071080.0209098858153554
2170.9855596941176520.02888061176469530.0144403058823477
2180.9865591582586230.02688168348275490.0134408417413774
2190.9857086382185090.02858272356298280.0142913617814914
2200.9847284171184780.03054316576304470.0152715828815223
2210.9831642004454770.03367159910904650.0168357995545232
2220.9820197102054560.03596057958908820.0179802897945441
2230.9808209839720.03835803205600160.0191790160280008
2240.9818909426259240.03621811474815290.0181090573740764
2250.9821696357690740.03566072846185260.0178303642309263
2260.9804799461350540.03904010772989110.0195200538649455
2270.9776601867083410.04467962658331740.0223398132916587
2280.9736233295088680.0527533409822640.026376670491132
2290.9684056887709230.06318862245815430.0315943112290772
2300.9624076451622870.07518470967542540.0375923548377127
2310.955840448092260.08831910381547860.0441595519077393
2320.9480763183279520.1038473633440960.0519236816720478
2330.941679289215590.1166414215688180.0583207107844088
2340.9342270734731560.1315458530536890.0657729265268443
2350.9324073427432850.1351853145134290.0675926572567147
2360.9593511385581350.08129772288372930.0406488614418646
2370.9824412812101620.03511743757967560.0175587187898378
2380.9939297227339080.01214055453218430.00607027726609215
2390.9986558719508570.002688256098286280.00134412804914314
2400.999455658422720.001088683154559010.000544341577279505
2410.9997283843750270.0005432312499461690.000271615624973084
2420.9999795626836714.08746326575791e-052.04373163287896e-05
2430.9999999988622642.27547137482014e-091.13773568741007e-09
2440.999999999942771.14459058666864e-105.72295293334322e-11
2450.9999999999997345.31491485492474e-132.65745742746237e-13
2460.9999999999999481.03286188487570e-135.16430942437851e-14
2470.9999999999999784.40190606597516e-142.20095303298758e-14
2480.9999999999999992.36051198037905e-151.18025599018953e-15
24913.75838125386625e-171.87919062693313e-17
25013.19459164803063e-181.59729582401531e-18
25112.20149388536656e-191.10074694268328e-19
25212.03653149227808e-191.01826574613904e-19
25313.9934448481263e-191.99672242406315e-19
25418.58406383952737e-194.29203191976369e-19
25518.11729968940732e-194.05864984470366e-19
25611.32678453559512e-186.6339226779756e-19
25711.43283441754062e-187.16417208770311e-19
25812.37910042201574e-181.18955021100787e-18
25914.27003021095100e-182.13501510547550e-18
26019.10154924829776e-184.55077462414888e-18
26111.83165382334799e-179.15826911673996e-18
26214.21577156212699e-172.10788578106349e-17
26318.21194502720923e-174.10597251360462e-17
26411.24402878925097e-166.22014394625486e-17
26511.84419998042275e-169.22099990211377e-17
26613.04536804962825e-161.52268402481412e-16
26715.80447364964537e-162.90223682482268e-16
26811.11688858205392e-155.58444291026961e-16
2690.9999999999999992.41933361784672e-151.20966680892336e-15
2700.9999999999999984.05668728954275e-152.02834364477137e-15
2710.9999999999999968.35966974476739e-154.17983487238369e-15
2720.999999999999991.79134030036393e-148.95670150181966e-15
2730.9999999999999813.76669545592874e-141.88334772796437e-14
2740.9999999999999676.60523110442104e-143.30261555221052e-14
2750.9999999999999539.38526587652713e-144.69263293826356e-14
2760.9999999999999833.42551426640372e-141.71275713320186e-14
2770.9999999999999627.5623760286173e-143.78118801430865e-14
2780.9999999999999637.37601204588224e-143.68800602294112e-14
2790.9999999999999539.39154176217922e-144.69577088108961e-14
2800.9999999999999491.01917403179682e-135.09587015898412e-14
2810.9999999999999361.26857811156208e-136.3428905578104e-14
2820.999999999999911.80876006907698e-139.04380034538492e-14
2830.9999999999998992.01926725246480e-131.00963362623240e-13
2840.9999999999999361.28165070247341e-136.40825351236704e-14
2850.999999999999921.59108444357251e-137.95542221786253e-14
2860.9999999999998892.22554366847875e-131.11277183423937e-13
2870.9999999999997764.48276508233962e-132.24138254116981e-13
2880.999999999999549.18498332586036e-134.59249166293018e-13
2890.999999999999251.49949019843214e-127.49745099216069e-13
2900.9999999999992081.58383309597348e-127.91916547986742e-13
2910.999999999999181.64048550053439e-128.20242750267197e-13
2920.9999999999984953.01021017107885e-121.50510508553942e-12
2930.9999999999967386.52380740784693e-123.26190370392346e-12
2940.999999999996916.17941927737439e-123.08970963868719e-12
2950.9999999999959588.08399576522499e-124.04199788261250e-12
2960.9999999999930851.38294761600740e-116.91473808003699e-12
2970.9999999999871262.57475345135321e-111.28737672567660e-11
2980.9999999999802073.95855734611034e-111.97927867305517e-11
2990.9999999999630297.39422737926402e-113.69711368963201e-11
3000.9999999999184791.63042968935178e-108.15214844675892e-11
3010.999999999824343.51317119761503e-101.75658559880751e-10
3020.9999999996406977.18606172838778e-103.59303086419389e-10
3030.9999999992688771.46224552785128e-097.31122763925638e-10
3040.9999999984649713.07005798586140e-091.53502899293070e-09
3050.9999999974136585.17268503776028e-092.58634251888014e-09
3060.9999999948607691.02784626455565e-085.13923132277823e-09
3070.999999992634651.47307019263893e-087.36535096319466e-09
3080.99999998773142.45371994155409e-081.22685997077705e-08
3090.9999999769561154.60877695195829e-082.30438847597915e-08
3100.9999999527729029.4454195244491e-084.72270976222455e-08
3110.9999999035207171.92958566016419e-079.64792830082094e-08
3120.9999998045617333.90876533135905e-071.95438266567952e-07
3130.9999997304590785.39081843024165e-072.69540921512083e-07
3140.9999995239260389.5214792356085e-074.76073961780425e-07
3150.999999236459491.52708102094789e-067.63540510473947e-07
3160.9999991263526351.74729472977425e-068.73647364887126e-07
3170.9999985915008622.81699827561689e-061.40849913780844e-06
3180.9999978503047544.29939049292609e-062.14969524646304e-06
3190.9999967234352156.55312956935611e-063.27656478467806e-06
3200.999994904439351.01911213020625e-055.09556065103125e-06
3210.9999921067801361.57864397275002e-057.8932198637501e-06
3220.9999849841510633.00316978741223e-051.50158489370612e-05
3230.9999714911363885.70177272231175e-052.85088636115588e-05
3240.999949016243890.0001019675122213535.09837561106764e-05
3250.9999085119980620.0001829760038751269.14880019375629e-05
3260.999833685110370.0003326297792605240.000166314889630262
3270.9997171464415440.0005657071169117330.000282853558455866
3280.999513947485240.0009721050295211980.000486052514760599
3290.9991743384918970.001651323016205720.000825661508102859
3300.998998272676160.002003454647682090.00100172732384104
3310.9982946643469370.003410671306126760.00170533565306338
3320.9972071418399540.005585716320092810.00279285816004640
3330.9959683515449440.00806329691011170.00403164845505585
3340.9955923166386190.008815366722762720.00440768336138136
3350.9985316243558420.002936751288315960.00146837564415798
3360.9999428020121150.0001143959757697995.71979878848994e-05
3370.9999867607717282.64784565434973e-051.32392282717486e-05
3380.9999998385841833.22831633310647e-071.61415816655324e-07
3390.99999999620927.58159858142769e-093.79079929071385e-09
3400.9999999970247525.9504959325074e-092.9752479662537e-09
3410.9999999917385271.65229461143204e-088.26147305716022e-09
3420.999999961797037.64059416697605e-083.82029708348803e-08
3430.9999999293853321.41229336905448e-077.06146684527242e-08
3440.9999997942096154.11580769051400e-072.05790384525700e-07
3450.9999993238777551.35224448963857e-066.76122244819287e-07
3460.9999994680663661.06386726874969e-065.31933634374847e-07
3470.9999972431864455.51362710998818e-062.75681355499409e-06
3480.999989262288142.1475423718205e-051.07377118591025e-05
3490.9999586462649328.27074701365507e-054.13537350682753e-05
3500.9999900863965031.98272069930429e-059.91360349652147e-06
3510.9999398178283160.0001203643433672696.01821716836343e-05
3520.9996696823526020.0006606352947964980.000330317647398249
3530.9998877272106340.0002245455787316540.000112272789365827
3540.9990294852740740.001941029451851580.000970514725925788

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
6 & 0.0169054038264476 & 0.0338108076528952 & 0.983094596173552 \tabularnewline
7 & 0.0629708161866201 & 0.125941632373240 & 0.93702918381338 \tabularnewline
8 & 0.246843651823400 & 0.493687303646799 & 0.7531563481766 \tabularnewline
9 & 0.425157697431216 & 0.850315394862431 & 0.574842302568785 \tabularnewline
10 & 0.467769714153996 & 0.935539428307991 & 0.532230285846004 \tabularnewline
11 & 0.461060407491727 & 0.922120814983454 & 0.538939592508273 \tabularnewline
12 & 0.400373179786916 & 0.800746359573831 & 0.599626820213084 \tabularnewline
13 & 0.321174907534732 & 0.642349815069464 & 0.678825092465268 \tabularnewline
14 & 0.252357501835513 & 0.504715003671025 & 0.747642498164487 \tabularnewline
15 & 0.190831848725079 & 0.381663697450157 & 0.809168151274921 \tabularnewline
16 & 0.147031848237031 & 0.294063696474062 & 0.852968151762969 \tabularnewline
17 & 0.110282319258260 & 0.220564638516520 & 0.88971768074174 \tabularnewline
18 & 0.0838173456341114 & 0.167634691268223 & 0.916182654365889 \tabularnewline
19 & 0.0623052923850075 & 0.124610584770015 & 0.937694707614993 \tabularnewline
20 & 0.0535293783754 & 0.1070587567508 & 0.9464706216246 \tabularnewline
21 & 0.0390930624052106 & 0.0781861248104213 & 0.96090693759479 \tabularnewline
22 & 0.0260383838072305 & 0.0520767676144609 & 0.97396161619277 \tabularnewline
23 & 0.0207702773512517 & 0.0415405547025035 & 0.979229722648748 \tabularnewline
24 & 0.0194576272397415 & 0.038915254479483 & 0.980542372760258 \tabularnewline
25 & 0.0184746332753044 & 0.0369492665506089 & 0.981525366724695 \tabularnewline
26 & 0.0309149846570248 & 0.0618299693140495 & 0.969085015342975 \tabularnewline
27 & 0.589476690405948 & 0.821046619188104 & 0.410523309594052 \tabularnewline
28 & 0.661703455467992 & 0.676593089064015 & 0.338296544532008 \tabularnewline
29 & 0.636011791239835 & 0.72797641752033 & 0.363988208760165 \tabularnewline
30 & 0.581776335305677 & 0.836447329388646 & 0.418223664694323 \tabularnewline
31 & 0.536203620683452 & 0.927592758633096 & 0.463796379316548 \tabularnewline
32 & 0.523508543767721 & 0.952982912464558 & 0.476491456232279 \tabularnewline
33 & 0.482201915903577 & 0.964403831807154 & 0.517798084096423 \tabularnewline
34 & 0.437292978507313 & 0.874585957014626 & 0.562707021492687 \tabularnewline
35 & 0.393815197187335 & 0.78763039437467 & 0.606184802812665 \tabularnewline
36 & 0.353191422011919 & 0.706382844023839 & 0.646808577988081 \tabularnewline
37 & 0.321049862712561 & 0.642099725425121 & 0.67895013728744 \tabularnewline
38 & 0.282868727431099 & 0.565737454862199 & 0.7171312725689 \tabularnewline
39 & 0.246791864999887 & 0.493583729999773 & 0.753208135000113 \tabularnewline
40 & 0.236420824089229 & 0.472841648178458 & 0.763579175910771 \tabularnewline
41 & 0.209272478655538 & 0.418544957311076 & 0.790727521344462 \tabularnewline
42 & 0.179986118855435 & 0.359972237710869 & 0.820013881144565 \tabularnewline
43 & 0.153856121227559 & 0.307712242455118 & 0.846143878772441 \tabularnewline
44 & 0.130616308186697 & 0.261232616373394 & 0.869383691813303 \tabularnewline
45 & 0.108207474750283 & 0.216414949500566 & 0.891792525249717 \tabularnewline
46 & 0.0884405440894318 & 0.176881088178864 & 0.911559455910568 \tabularnewline
47 & 0.0725851880890976 & 0.145170376178195 & 0.927414811910902 \tabularnewline
48 & 0.077670417380373 & 0.155340834760746 & 0.922329582619627 \tabularnewline
49 & 0.0802284896533099 & 0.160456979306620 & 0.91977151034669 \tabularnewline
50 & 0.0951270087646985 & 0.190254017529397 & 0.904872991235302 \tabularnewline
51 & 0.108191344975057 & 0.216382689950114 & 0.891808655024943 \tabularnewline
52 & 0.114532748725212 & 0.229065497450424 & 0.885467251274788 \tabularnewline
53 & 0.115122176195250 & 0.230244352390501 & 0.88487782380475 \tabularnewline
54 & 0.105838331495141 & 0.211676662990281 & 0.89416166850486 \tabularnewline
55 & 0.0950381421056583 & 0.190076284211317 & 0.904961857894342 \tabularnewline
56 & 0.0824799311766135 & 0.164959862353227 & 0.917520068823387 \tabularnewline
57 & 0.0697292877188172 & 0.139458575437634 & 0.930270712281183 \tabularnewline
58 & 0.0681285076553781 & 0.136257015310756 & 0.931871492344622 \tabularnewline
59 & 0.0823595611558474 & 0.164719122311695 & 0.917640438844153 \tabularnewline
60 & 0.0780578767591091 & 0.156115753518218 & 0.92194212324089 \tabularnewline
61 & 0.070458475958212 & 0.140916951916424 & 0.929541524041788 \tabularnewline
62 & 0.0586400263954648 & 0.117280052790930 & 0.941359973604535 \tabularnewline
63 & 0.0508736572165575 & 0.101747314433115 & 0.949126342783442 \tabularnewline
64 & 0.0434781320886340 & 0.0869562641772681 & 0.956521867911366 \tabularnewline
65 & 0.0359708221095915 & 0.071941644219183 & 0.964029177890409 \tabularnewline
66 & 0.0295629212255279 & 0.0591258424510557 & 0.970437078774472 \tabularnewline
67 & 0.0243595868653370 & 0.0487191737306740 & 0.975640413134663 \tabularnewline
68 & 0.0204514485925771 & 0.0409028971851542 & 0.979548551407423 \tabularnewline
69 & 0.0175468088817618 & 0.0350936177635235 & 0.982453191118238 \tabularnewline
70 & 0.0162157164393773 & 0.0324314328787545 & 0.983784283560623 \tabularnewline
71 & 0.0139108419324400 & 0.0278216838648801 & 0.98608915806756 \tabularnewline
72 & 0.0115474990781334 & 0.0230949981562669 & 0.988452500921867 \tabularnewline
73 & 0.00971757803659365 & 0.0194351560731873 & 0.990282421963406 \tabularnewline
74 & 0.00865069100899414 & 0.0173013820179883 & 0.991349308991006 \tabularnewline
75 & 0.00840899468211939 & 0.0168179893642388 & 0.99159100531788 \tabularnewline
76 & 0.00723680757722219 & 0.0144736151544444 & 0.992763192422778 \tabularnewline
77 & 0.00630609287051364 & 0.0126121857410273 & 0.993693907129486 \tabularnewline
78 & 0.0058249605790661 & 0.0116499211581322 & 0.994175039420934 \tabularnewline
79 & 0.00575668573722363 & 0.0115133714744473 & 0.994243314262776 \tabularnewline
80 & 0.0064632918071366 & 0.0129265836142732 & 0.993536708192863 \tabularnewline
81 & 0.0059073626621438 & 0.0118147253242876 & 0.994092637337856 \tabularnewline
82 & 0.00533894478534154 & 0.0106778895706831 & 0.994661055214658 \tabularnewline
83 & 0.0049919940232212 & 0.0099839880464424 & 0.995008005976779 \tabularnewline
84 & 0.00495735500715232 & 0.00991471001430464 & 0.995042644992848 \tabularnewline
85 & 0.0052847942411741 & 0.0105695884823482 & 0.994715205758826 \tabularnewline
86 & 0.00691227493005326 & 0.0138245498601065 & 0.993087725069947 \tabularnewline
87 & 0.00899087050721241 & 0.0179817410144248 & 0.991009129492788 \tabularnewline
88 & 0.0113569566856750 & 0.0227139133713500 & 0.988643043314325 \tabularnewline
89 & 0.0144255359200375 & 0.028851071840075 & 0.985574464079962 \tabularnewline
90 & 0.0195907583876247 & 0.0391815167752493 & 0.980409241612375 \tabularnewline
91 & 0.0295302726947479 & 0.0590605453894957 & 0.970469727305252 \tabularnewline
92 & 0.0363672039395763 & 0.0727344078791527 & 0.963632796060424 \tabularnewline
93 & 0.0425646266564565 & 0.085129253312913 & 0.957435373343543 \tabularnewline
94 & 0.0526377308240251 & 0.105275461648050 & 0.947362269175975 \tabularnewline
95 & 0.0636947938252662 & 0.127389587650532 & 0.936305206174734 \tabularnewline
96 & 0.0726310022047817 & 0.145262004409563 & 0.927368997795218 \tabularnewline
97 & 0.0852279156478979 & 0.170455831295796 & 0.914772084352102 \tabularnewline
98 & 0.105533718959926 & 0.211067437919852 & 0.894466281040074 \tabularnewline
99 & 0.119245000811964 & 0.238490001623929 & 0.880754999188035 \tabularnewline
100 & 0.142537356707994 & 0.285074713415988 & 0.857462643292006 \tabularnewline
101 & 0.172718707506618 & 0.345437415013235 & 0.827281292493382 \tabularnewline
102 & 0.191655070052222 & 0.383310140104445 & 0.808344929947778 \tabularnewline
103 & 0.213796197466220 & 0.427592394932441 & 0.78620380253378 \tabularnewline
104 & 0.225973361693986 & 0.451946723387973 & 0.774026638306013 \tabularnewline
105 & 0.227715896149985 & 0.45543179229997 & 0.772284103850015 \tabularnewline
106 & 0.231474049854237 & 0.462948099708474 & 0.768525950145763 \tabularnewline
107 & 0.226566241805511 & 0.453132483611023 & 0.773433758194489 \tabularnewline
108 & 0.215099017693110 & 0.430198035386219 & 0.78490098230689 \tabularnewline
109 & 0.216561355101022 & 0.433122710202044 & 0.783438644898978 \tabularnewline
110 & 0.465767895550898 & 0.931535791101796 & 0.534232104449102 \tabularnewline
111 & 0.604905844887353 & 0.790188310225293 & 0.395094155112647 \tabularnewline
112 & 0.642437788704458 & 0.715124422591084 & 0.357562211295542 \tabularnewline
113 & 0.645829981390075 & 0.708340037219851 & 0.354170018609925 \tabularnewline
114 & 0.642169341893845 & 0.71566131621231 & 0.357830658106155 \tabularnewline
115 & 0.630506299239997 & 0.738987401520006 & 0.369493700760003 \tabularnewline
116 & 0.606326173681186 & 0.787347652637627 & 0.393673826318814 \tabularnewline
117 & 0.575653045446441 & 0.848693909107118 & 0.424346954553559 \tabularnewline
118 & 0.544203809664936 & 0.911592380670128 & 0.455796190335064 \tabularnewline
119 & 0.512747352637818 & 0.974505294724364 & 0.487252647362182 \tabularnewline
120 & 0.481989709599605 & 0.96397941919921 & 0.518010290400395 \tabularnewline
121 & 0.451867174856424 & 0.903734349712847 & 0.548132825143576 \tabularnewline
122 & 0.420683890168637 & 0.841367780337274 & 0.579316109831363 \tabularnewline
123 & 0.38990229314757 & 0.77980458629514 & 0.61009770685243 \tabularnewline
124 & 0.360311874169973 & 0.720623748339946 & 0.639688125830027 \tabularnewline
125 & 0.334152933461647 & 0.668305866923294 & 0.665847066538353 \tabularnewline
126 & 0.307993583008750 & 0.615987166017501 & 0.69200641699125 \tabularnewline
127 & 0.283009450915522 & 0.566018901831045 & 0.716990549084478 \tabularnewline
128 & 0.262960142610629 & 0.525920285221257 & 0.737039857389371 \tabularnewline
129 & 0.240889033879243 & 0.481778067758485 & 0.759110966120757 \tabularnewline
130 & 0.218958499410142 & 0.437916998820284 & 0.781041500589858 \tabularnewline
131 & 0.208456045616269 & 0.416912091232538 & 0.791543954383731 \tabularnewline
132 & 0.198943355141922 & 0.397886710283844 & 0.801056644858078 \tabularnewline
133 & 0.182322804651475 & 0.364645609302949 & 0.817677195348525 \tabularnewline
134 & 0.169654751991415 & 0.33930950398283 & 0.830345248008585 \tabularnewline
135 & 0.159415919558878 & 0.318831839117756 & 0.840584080441122 \tabularnewline
136 & 0.146108772692143 & 0.292217545384285 & 0.853891227307857 \tabularnewline
137 & 0.133905088073952 & 0.267810176147904 & 0.866094911926048 \tabularnewline
138 & 0.121766029041405 & 0.243532058082810 & 0.878233970958595 \tabularnewline
139 & 0.109462119352227 & 0.218924238704454 & 0.890537880647773 \tabularnewline
140 & 0.0986307195312222 & 0.197261439062444 & 0.901369280468778 \tabularnewline
141 & 0.0895610375857282 & 0.179122075171456 & 0.910438962414272 \tabularnewline
142 & 0.0803393350165981 & 0.160678670033196 & 0.919660664983402 \tabularnewline
143 & 0.0713674044142115 & 0.142734808828423 & 0.928632595585788 \tabularnewline
144 & 0.0629177851872047 & 0.125835570374409 & 0.937082214812795 \tabularnewline
145 & 0.0553671599547633 & 0.110734319909527 & 0.944632840045237 \tabularnewline
146 & 0.0530953091090167 & 0.106190618218033 & 0.946904690890983 \tabularnewline
147 & 0.0512263484480616 & 0.102452696896123 & 0.948773651551938 \tabularnewline
148 & 0.0449112235530839 & 0.0898224471061679 & 0.955088776446916 \tabularnewline
149 & 0.0414381382168381 & 0.0828762764336762 & 0.958561861783162 \tabularnewline
150 & 0.0373719057997905 & 0.074743811599581 & 0.96262809420021 \tabularnewline
151 & 0.0354659257307740 & 0.0709318514615479 & 0.964534074269226 \tabularnewline
152 & 0.0332763237087073 & 0.0665526474174146 & 0.966723676291293 \tabularnewline
153 & 0.0305105018474346 & 0.0610210036948692 & 0.969489498152565 \tabularnewline
154 & 0.0270012749466368 & 0.0540025498932736 & 0.972998725053363 \tabularnewline
155 & 0.0230711840747624 & 0.0461423681495248 & 0.976928815925238 \tabularnewline
156 & 0.0198234141336326 & 0.0396468282672652 & 0.980176585866367 \tabularnewline
157 & 0.0172338528727166 & 0.0344677057454333 & 0.982766147127283 \tabularnewline
158 & 0.0158819633040600 & 0.0317639266081201 & 0.98411803669594 \tabularnewline
159 & 0.0135525427880078 & 0.0271050855760155 & 0.986447457211992 \tabularnewline
160 & 0.0114313330552043 & 0.0228626661104087 & 0.988568666944796 \tabularnewline
161 & 0.00971083153290657 & 0.0194216630658131 & 0.990289168467093 \tabularnewline
162 & 0.00860708381723491 & 0.0172141676344698 & 0.991392916182765 \tabularnewline
163 & 0.00853861538417783 & 0.0170772307683557 & 0.991461384615822 \tabularnewline
164 & 0.0085968160963846 & 0.0171936321927692 & 0.991403183903615 \tabularnewline
165 & 0.00718181638931544 & 0.0143636327786309 & 0.992818183610685 \tabularnewline
166 & 0.00605138432385362 & 0.0121027686477072 & 0.993948615676146 \tabularnewline
167 & 0.00502049526193675 & 0.0100409905238735 & 0.994979504738063 \tabularnewline
168 & 0.00422379329246319 & 0.00844758658492638 & 0.995776206707537 \tabularnewline
169 & 0.00362877709441706 & 0.00725755418883413 & 0.996371222905583 \tabularnewline
170 & 0.00325338165880750 & 0.00650676331761499 & 0.996746618341192 \tabularnewline
171 & 0.00269079252302966 & 0.00538158504605931 & 0.99730920747697 \tabularnewline
172 & 0.00216850043622742 & 0.00433700087245484 & 0.997831499563773 \tabularnewline
173 & 0.00175444954541039 & 0.00350889909082078 & 0.99824555045459 \tabularnewline
174 & 0.00141746468389720 & 0.00283492936779440 & 0.998582535316103 \tabularnewline
175 & 0.00115804606789542 & 0.00231609213579083 & 0.998841953932105 \tabularnewline
176 & 0.00097657104059408 & 0.00195314208118816 & 0.999023428959406 \tabularnewline
177 & 0.000828534287138083 & 0.00165706857427617 & 0.999171465712862 \tabularnewline
178 & 0.000716623379743823 & 0.00143324675948765 & 0.999283376620256 \tabularnewline
179 & 0.00063568103961208 & 0.00127136207922416 & 0.999364318960388 \tabularnewline
180 & 0.000581746882639995 & 0.00116349376527999 & 0.99941825311736 \tabularnewline
181 & 0.000513754670718957 & 0.00102750934143791 & 0.999486245329281 \tabularnewline
182 & 0.00044212504434581 & 0.00088425008869162 & 0.999557874955654 \tabularnewline
183 & 0.000389457586616758 & 0.000778915173233517 & 0.999610542413383 \tabularnewline
184 & 0.000346882405261215 & 0.00069376481052243 & 0.999653117594739 \tabularnewline
185 & 0.000309828446674373 & 0.000619656893348746 & 0.999690171553326 \tabularnewline
186 & 0.000278843354011916 & 0.000557686708023832 & 0.999721156645988 \tabularnewline
187 & 0.000274214274508234 & 0.000548428549016468 & 0.999725785725492 \tabularnewline
188 & 0.000288961230965333 & 0.000577922461930667 & 0.999711038769035 \tabularnewline
189 & 0.000287388320331855 & 0.00057477664066371 & 0.999712611679668 \tabularnewline
190 & 0.000282949539855444 & 0.000565899079710887 & 0.999717050460144 \tabularnewline
191 & 0.000287382800851851 & 0.000574765601703703 & 0.999712617199148 \tabularnewline
192 & 0.000302259374470536 & 0.000604518748941072 & 0.99969774062553 \tabularnewline
193 & 0.000327984657083494 & 0.000655969314166989 & 0.999672015342916 \tabularnewline
194 & 0.000344698961085181 & 0.000689397922170362 & 0.999655301038915 \tabularnewline
195 & 0.000366304620200346 & 0.000732609240400692 & 0.9996336953798 \tabularnewline
196 & 0.000386531521832705 & 0.00077306304366541 & 0.999613468478167 \tabularnewline
197 & 0.000407494327770638 & 0.000814988655541276 & 0.99959250567223 \tabularnewline
198 & 0.000435158602512213 & 0.000870317205024426 & 0.999564841397488 \tabularnewline
199 & 0.000471656355841559 & 0.000943312711683118 & 0.999528343644158 \tabularnewline
200 & 0.000583351590067641 & 0.00116670318013528 & 0.999416648409932 \tabularnewline
201 & 0.000758094570491246 & 0.00151618914098249 & 0.999241905429509 \tabularnewline
202 & 0.00120611893110209 & 0.00241223786220418 & 0.998793881068898 \tabularnewline
203 & 0.00196969766114153 & 0.00393939532228306 & 0.998030302338858 \tabularnewline
204 & 0.00309010411968792 & 0.00618020823937584 & 0.996909895880312 \tabularnewline
205 & 0.00473794364241014 & 0.00947588728482028 & 0.99526205635759 \tabularnewline
206 & 0.00937937103208502 & 0.0187587420641700 & 0.990620628967915 \tabularnewline
207 & 0.0591346797989452 & 0.118269359597890 & 0.940865320201055 \tabularnewline
208 & 0.230978918643818 & 0.461957837287635 & 0.769021081356182 \tabularnewline
209 & 0.555372771249565 & 0.88925445750087 & 0.444627228750435 \tabularnewline
210 & 0.85450537015346 & 0.290989259693081 & 0.145494629846540 \tabularnewline
211 & 0.868207390931852 & 0.263585218136295 & 0.131792609068148 \tabularnewline
212 & 0.947087118512763 & 0.105825762974475 & 0.0529128814872373 \tabularnewline
213 & 0.958896522346492 & 0.0822069553070169 & 0.0411034776535085 \tabularnewline
214 & 0.965494197741068 & 0.0690116045178646 & 0.0345058022589323 \tabularnewline
215 & 0.97387485698503 & 0.0522502860299407 & 0.0261251430149703 \tabularnewline
216 & 0.979090114184645 & 0.0418197716307108 & 0.0209098858153554 \tabularnewline
217 & 0.985559694117652 & 0.0288806117646953 & 0.0144403058823477 \tabularnewline
218 & 0.986559158258623 & 0.0268816834827549 & 0.0134408417413774 \tabularnewline
219 & 0.985708638218509 & 0.0285827235629828 & 0.0142913617814914 \tabularnewline
220 & 0.984728417118478 & 0.0305431657630447 & 0.0152715828815223 \tabularnewline
221 & 0.983164200445477 & 0.0336715991090465 & 0.0168357995545232 \tabularnewline
222 & 0.982019710205456 & 0.0359605795890882 & 0.0179802897945441 \tabularnewline
223 & 0.980820983972 & 0.0383580320560016 & 0.0191790160280008 \tabularnewline
224 & 0.981890942625924 & 0.0362181147481529 & 0.0181090573740764 \tabularnewline
225 & 0.982169635769074 & 0.0356607284618526 & 0.0178303642309263 \tabularnewline
226 & 0.980479946135054 & 0.0390401077298911 & 0.0195200538649455 \tabularnewline
227 & 0.977660186708341 & 0.0446796265833174 & 0.0223398132916587 \tabularnewline
228 & 0.973623329508868 & 0.052753340982264 & 0.026376670491132 \tabularnewline
229 & 0.968405688770923 & 0.0631886224581543 & 0.0315943112290772 \tabularnewline
230 & 0.962407645162287 & 0.0751847096754254 & 0.0375923548377127 \tabularnewline
231 & 0.95584044809226 & 0.0883191038154786 & 0.0441595519077393 \tabularnewline
232 & 0.948076318327952 & 0.103847363344096 & 0.0519236816720478 \tabularnewline
233 & 0.94167928921559 & 0.116641421568818 & 0.0583207107844088 \tabularnewline
234 & 0.934227073473156 & 0.131545853053689 & 0.0657729265268443 \tabularnewline
235 & 0.932407342743285 & 0.135185314513429 & 0.0675926572567147 \tabularnewline
236 & 0.959351138558135 & 0.0812977228837293 & 0.0406488614418646 \tabularnewline
237 & 0.982441281210162 & 0.0351174375796756 & 0.0175587187898378 \tabularnewline
238 & 0.993929722733908 & 0.0121405545321843 & 0.00607027726609215 \tabularnewline
239 & 0.998655871950857 & 0.00268825609828628 & 0.00134412804914314 \tabularnewline
240 & 0.99945565842272 & 0.00108868315455901 & 0.000544341577279505 \tabularnewline
241 & 0.999728384375027 & 0.000543231249946169 & 0.000271615624973084 \tabularnewline
242 & 0.999979562683671 & 4.08746326575791e-05 & 2.04373163287896e-05 \tabularnewline
243 & 0.999999998862264 & 2.27547137482014e-09 & 1.13773568741007e-09 \tabularnewline
244 & 0.99999999994277 & 1.14459058666864e-10 & 5.72295293334322e-11 \tabularnewline
245 & 0.999999999999734 & 5.31491485492474e-13 & 2.65745742746237e-13 \tabularnewline
246 & 0.999999999999948 & 1.03286188487570e-13 & 5.16430942437851e-14 \tabularnewline
247 & 0.999999999999978 & 4.40190606597516e-14 & 2.20095303298758e-14 \tabularnewline
248 & 0.999999999999999 & 2.36051198037905e-15 & 1.18025599018953e-15 \tabularnewline
249 & 1 & 3.75838125386625e-17 & 1.87919062693313e-17 \tabularnewline
250 & 1 & 3.19459164803063e-18 & 1.59729582401531e-18 \tabularnewline
251 & 1 & 2.20149388536656e-19 & 1.10074694268328e-19 \tabularnewline
252 & 1 & 2.03653149227808e-19 & 1.01826574613904e-19 \tabularnewline
253 & 1 & 3.9934448481263e-19 & 1.99672242406315e-19 \tabularnewline
254 & 1 & 8.58406383952737e-19 & 4.29203191976369e-19 \tabularnewline
255 & 1 & 8.11729968940732e-19 & 4.05864984470366e-19 \tabularnewline
256 & 1 & 1.32678453559512e-18 & 6.6339226779756e-19 \tabularnewline
257 & 1 & 1.43283441754062e-18 & 7.16417208770311e-19 \tabularnewline
258 & 1 & 2.37910042201574e-18 & 1.18955021100787e-18 \tabularnewline
259 & 1 & 4.27003021095100e-18 & 2.13501510547550e-18 \tabularnewline
260 & 1 & 9.10154924829776e-18 & 4.55077462414888e-18 \tabularnewline
261 & 1 & 1.83165382334799e-17 & 9.15826911673996e-18 \tabularnewline
262 & 1 & 4.21577156212699e-17 & 2.10788578106349e-17 \tabularnewline
263 & 1 & 8.21194502720923e-17 & 4.10597251360462e-17 \tabularnewline
264 & 1 & 1.24402878925097e-16 & 6.22014394625486e-17 \tabularnewline
265 & 1 & 1.84419998042275e-16 & 9.22099990211377e-17 \tabularnewline
266 & 1 & 3.04536804962825e-16 & 1.52268402481412e-16 \tabularnewline
267 & 1 & 5.80447364964537e-16 & 2.90223682482268e-16 \tabularnewline
268 & 1 & 1.11688858205392e-15 & 5.58444291026961e-16 \tabularnewline
269 & 0.999999999999999 & 2.41933361784672e-15 & 1.20966680892336e-15 \tabularnewline
270 & 0.999999999999998 & 4.05668728954275e-15 & 2.02834364477137e-15 \tabularnewline
271 & 0.999999999999996 & 8.35966974476739e-15 & 4.17983487238369e-15 \tabularnewline
272 & 0.99999999999999 & 1.79134030036393e-14 & 8.95670150181966e-15 \tabularnewline
273 & 0.999999999999981 & 3.76669545592874e-14 & 1.88334772796437e-14 \tabularnewline
274 & 0.999999999999967 & 6.60523110442104e-14 & 3.30261555221052e-14 \tabularnewline
275 & 0.999999999999953 & 9.38526587652713e-14 & 4.69263293826356e-14 \tabularnewline
276 & 0.999999999999983 & 3.42551426640372e-14 & 1.71275713320186e-14 \tabularnewline
277 & 0.999999999999962 & 7.5623760286173e-14 & 3.78118801430865e-14 \tabularnewline
278 & 0.999999999999963 & 7.37601204588224e-14 & 3.68800602294112e-14 \tabularnewline
279 & 0.999999999999953 & 9.39154176217922e-14 & 4.69577088108961e-14 \tabularnewline
280 & 0.999999999999949 & 1.01917403179682e-13 & 5.09587015898412e-14 \tabularnewline
281 & 0.999999999999936 & 1.26857811156208e-13 & 6.3428905578104e-14 \tabularnewline
282 & 0.99999999999991 & 1.80876006907698e-13 & 9.04380034538492e-14 \tabularnewline
283 & 0.999999999999899 & 2.01926725246480e-13 & 1.00963362623240e-13 \tabularnewline
284 & 0.999999999999936 & 1.28165070247341e-13 & 6.40825351236704e-14 \tabularnewline
285 & 0.99999999999992 & 1.59108444357251e-13 & 7.95542221786253e-14 \tabularnewline
286 & 0.999999999999889 & 2.22554366847875e-13 & 1.11277183423937e-13 \tabularnewline
287 & 0.999999999999776 & 4.48276508233962e-13 & 2.24138254116981e-13 \tabularnewline
288 & 0.99999999999954 & 9.18498332586036e-13 & 4.59249166293018e-13 \tabularnewline
289 & 0.99999999999925 & 1.49949019843214e-12 & 7.49745099216069e-13 \tabularnewline
290 & 0.999999999999208 & 1.58383309597348e-12 & 7.91916547986742e-13 \tabularnewline
291 & 0.99999999999918 & 1.64048550053439e-12 & 8.20242750267197e-13 \tabularnewline
292 & 0.999999999998495 & 3.01021017107885e-12 & 1.50510508553942e-12 \tabularnewline
293 & 0.999999999996738 & 6.52380740784693e-12 & 3.26190370392346e-12 \tabularnewline
294 & 0.99999999999691 & 6.17941927737439e-12 & 3.08970963868719e-12 \tabularnewline
295 & 0.999999999995958 & 8.08399576522499e-12 & 4.04199788261250e-12 \tabularnewline
296 & 0.999999999993085 & 1.38294761600740e-11 & 6.91473808003699e-12 \tabularnewline
297 & 0.999999999987126 & 2.57475345135321e-11 & 1.28737672567660e-11 \tabularnewline
298 & 0.999999999980207 & 3.95855734611034e-11 & 1.97927867305517e-11 \tabularnewline
299 & 0.999999999963029 & 7.39422737926402e-11 & 3.69711368963201e-11 \tabularnewline
300 & 0.999999999918479 & 1.63042968935178e-10 & 8.15214844675892e-11 \tabularnewline
301 & 0.99999999982434 & 3.51317119761503e-10 & 1.75658559880751e-10 \tabularnewline
302 & 0.999999999640697 & 7.18606172838778e-10 & 3.59303086419389e-10 \tabularnewline
303 & 0.999999999268877 & 1.46224552785128e-09 & 7.31122763925638e-10 \tabularnewline
304 & 0.999999998464971 & 3.07005798586140e-09 & 1.53502899293070e-09 \tabularnewline
305 & 0.999999997413658 & 5.17268503776028e-09 & 2.58634251888014e-09 \tabularnewline
306 & 0.999999994860769 & 1.02784626455565e-08 & 5.13923132277823e-09 \tabularnewline
307 & 0.99999999263465 & 1.47307019263893e-08 & 7.36535096319466e-09 \tabularnewline
308 & 0.9999999877314 & 2.45371994155409e-08 & 1.22685997077705e-08 \tabularnewline
309 & 0.999999976956115 & 4.60877695195829e-08 & 2.30438847597915e-08 \tabularnewline
310 & 0.999999952772902 & 9.4454195244491e-08 & 4.72270976222455e-08 \tabularnewline
311 & 0.999999903520717 & 1.92958566016419e-07 & 9.64792830082094e-08 \tabularnewline
312 & 0.999999804561733 & 3.90876533135905e-07 & 1.95438266567952e-07 \tabularnewline
313 & 0.999999730459078 & 5.39081843024165e-07 & 2.69540921512083e-07 \tabularnewline
314 & 0.999999523926038 & 9.5214792356085e-07 & 4.76073961780425e-07 \tabularnewline
315 & 0.99999923645949 & 1.52708102094789e-06 & 7.63540510473947e-07 \tabularnewline
316 & 0.999999126352635 & 1.74729472977425e-06 & 8.73647364887126e-07 \tabularnewline
317 & 0.999998591500862 & 2.81699827561689e-06 & 1.40849913780844e-06 \tabularnewline
318 & 0.999997850304754 & 4.29939049292609e-06 & 2.14969524646304e-06 \tabularnewline
319 & 0.999996723435215 & 6.55312956935611e-06 & 3.27656478467806e-06 \tabularnewline
320 & 0.99999490443935 & 1.01911213020625e-05 & 5.09556065103125e-06 \tabularnewline
321 & 0.999992106780136 & 1.57864397275002e-05 & 7.8932198637501e-06 \tabularnewline
322 & 0.999984984151063 & 3.00316978741223e-05 & 1.50158489370612e-05 \tabularnewline
323 & 0.999971491136388 & 5.70177272231175e-05 & 2.85088636115588e-05 \tabularnewline
324 & 0.99994901624389 & 0.000101967512221353 & 5.09837561106764e-05 \tabularnewline
325 & 0.999908511998062 & 0.000182976003875126 & 9.14880019375629e-05 \tabularnewline
326 & 0.99983368511037 & 0.000332629779260524 & 0.000166314889630262 \tabularnewline
327 & 0.999717146441544 & 0.000565707116911733 & 0.000282853558455866 \tabularnewline
328 & 0.99951394748524 & 0.000972105029521198 & 0.000486052514760599 \tabularnewline
329 & 0.999174338491897 & 0.00165132301620572 & 0.000825661508102859 \tabularnewline
330 & 0.99899827267616 & 0.00200345464768209 & 0.00100172732384104 \tabularnewline
331 & 0.998294664346937 & 0.00341067130612676 & 0.00170533565306338 \tabularnewline
332 & 0.997207141839954 & 0.00558571632009281 & 0.00279285816004640 \tabularnewline
333 & 0.995968351544944 & 0.0080632969101117 & 0.00403164845505585 \tabularnewline
334 & 0.995592316638619 & 0.00881536672276272 & 0.00440768336138136 \tabularnewline
335 & 0.998531624355842 & 0.00293675128831596 & 0.00146837564415798 \tabularnewline
336 & 0.999942802012115 & 0.000114395975769799 & 5.71979878848994e-05 \tabularnewline
337 & 0.999986760771728 & 2.64784565434973e-05 & 1.32392282717486e-05 \tabularnewline
338 & 0.999999838584183 & 3.22831633310647e-07 & 1.61415816655324e-07 \tabularnewline
339 & 0.9999999962092 & 7.58159858142769e-09 & 3.79079929071385e-09 \tabularnewline
340 & 0.999999997024752 & 5.9504959325074e-09 & 2.9752479662537e-09 \tabularnewline
341 & 0.999999991738527 & 1.65229461143204e-08 & 8.26147305716022e-09 \tabularnewline
342 & 0.99999996179703 & 7.64059416697605e-08 & 3.82029708348803e-08 \tabularnewline
343 & 0.999999929385332 & 1.41229336905448e-07 & 7.06146684527242e-08 \tabularnewline
344 & 0.999999794209615 & 4.11580769051400e-07 & 2.05790384525700e-07 \tabularnewline
345 & 0.999999323877755 & 1.35224448963857e-06 & 6.76122244819287e-07 \tabularnewline
346 & 0.999999468066366 & 1.06386726874969e-06 & 5.31933634374847e-07 \tabularnewline
347 & 0.999997243186445 & 5.51362710998818e-06 & 2.75681355499409e-06 \tabularnewline
348 & 0.99998926228814 & 2.1475423718205e-05 & 1.07377118591025e-05 \tabularnewline
349 & 0.999958646264932 & 8.27074701365507e-05 & 4.13537350682753e-05 \tabularnewline
350 & 0.999990086396503 & 1.98272069930429e-05 & 9.91360349652147e-06 \tabularnewline
351 & 0.999939817828316 & 0.000120364343367269 & 6.01821716836343e-05 \tabularnewline
352 & 0.999669682352602 & 0.000660635294796498 & 0.000330317647398249 \tabularnewline
353 & 0.999887727210634 & 0.000224545578731654 & 0.000112272789365827 \tabularnewline
354 & 0.999029485274074 & 0.00194102945185158 & 0.000970514725925788 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=93490&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]0.0169054038264476[/C][C]0.0338108076528952[/C][C]0.983094596173552[/C][/ROW]
[ROW][C]7[/C][C]0.0629708161866201[/C][C]0.125941632373240[/C][C]0.93702918381338[/C][/ROW]
[ROW][C]8[/C][C]0.246843651823400[/C][C]0.493687303646799[/C][C]0.7531563481766[/C][/ROW]
[ROW][C]9[/C][C]0.425157697431216[/C][C]0.850315394862431[/C][C]0.574842302568785[/C][/ROW]
[ROW][C]10[/C][C]0.467769714153996[/C][C]0.935539428307991[/C][C]0.532230285846004[/C][/ROW]
[ROW][C]11[/C][C]0.461060407491727[/C][C]0.922120814983454[/C][C]0.538939592508273[/C][/ROW]
[ROW][C]12[/C][C]0.400373179786916[/C][C]0.800746359573831[/C][C]0.599626820213084[/C][/ROW]
[ROW][C]13[/C][C]0.321174907534732[/C][C]0.642349815069464[/C][C]0.678825092465268[/C][/ROW]
[ROW][C]14[/C][C]0.252357501835513[/C][C]0.504715003671025[/C][C]0.747642498164487[/C][/ROW]
[ROW][C]15[/C][C]0.190831848725079[/C][C]0.381663697450157[/C][C]0.809168151274921[/C][/ROW]
[ROW][C]16[/C][C]0.147031848237031[/C][C]0.294063696474062[/C][C]0.852968151762969[/C][/ROW]
[ROW][C]17[/C][C]0.110282319258260[/C][C]0.220564638516520[/C][C]0.88971768074174[/C][/ROW]
[ROW][C]18[/C][C]0.0838173456341114[/C][C]0.167634691268223[/C][C]0.916182654365889[/C][/ROW]
[ROW][C]19[/C][C]0.0623052923850075[/C][C]0.124610584770015[/C][C]0.937694707614993[/C][/ROW]
[ROW][C]20[/C][C]0.0535293783754[/C][C]0.1070587567508[/C][C]0.9464706216246[/C][/ROW]
[ROW][C]21[/C][C]0.0390930624052106[/C][C]0.0781861248104213[/C][C]0.96090693759479[/C][/ROW]
[ROW][C]22[/C][C]0.0260383838072305[/C][C]0.0520767676144609[/C][C]0.97396161619277[/C][/ROW]
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[ROW][C]166[/C][C]0.00605138432385362[/C][C]0.0121027686477072[/C][C]0.993948615676146[/C][/ROW]
[ROW][C]167[/C][C]0.00502049526193675[/C][C]0.0100409905238735[/C][C]0.994979504738063[/C][/ROW]
[ROW][C]168[/C][C]0.00422379329246319[/C][C]0.00844758658492638[/C][C]0.995776206707537[/C][/ROW]
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[ROW][C]248[/C][C]0.999999999999999[/C][C]2.36051198037905e-15[/C][C]1.18025599018953e-15[/C][/ROW]
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[ROW][C]254[/C][C]1[/C][C]8.58406383952737e-19[/C][C]4.29203191976369e-19[/C][/ROW]
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[ROW][C]260[/C][C]1[/C][C]9.10154924829776e-18[/C][C]4.55077462414888e-18[/C][/ROW]
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[ROW][C]265[/C][C]1[/C][C]1.84419998042275e-16[/C][C]9.22099990211377e-17[/C][/ROW]
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[ROW][C]306[/C][C]0.999999994860769[/C][C]1.02784626455565e-08[/C][C]5.13923132277823e-09[/C][/ROW]
[ROW][C]307[/C][C]0.99999999263465[/C][C]1.47307019263893e-08[/C][C]7.36535096319466e-09[/C][/ROW]
[ROW][C]308[/C][C]0.9999999877314[/C][C]2.45371994155409e-08[/C][C]1.22685997077705e-08[/C][/ROW]
[ROW][C]309[/C][C]0.999999976956115[/C][C]4.60877695195829e-08[/C][C]2.30438847597915e-08[/C][/ROW]
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[ROW][C]315[/C][C]0.99999923645949[/C][C]1.52708102094789e-06[/C][C]7.63540510473947e-07[/C][/ROW]
[ROW][C]316[/C][C]0.999999126352635[/C][C]1.74729472977425e-06[/C][C]8.73647364887126e-07[/C][/ROW]
[ROW][C]317[/C][C]0.999998591500862[/C][C]2.81699827561689e-06[/C][C]1.40849913780844e-06[/C][/ROW]
[ROW][C]318[/C][C]0.999997850304754[/C][C]4.29939049292609e-06[/C][C]2.14969524646304e-06[/C][/ROW]
[ROW][C]319[/C][C]0.999996723435215[/C][C]6.55312956935611e-06[/C][C]3.27656478467806e-06[/C][/ROW]
[ROW][C]320[/C][C]0.99999490443935[/C][C]1.01911213020625e-05[/C][C]5.09556065103125e-06[/C][/ROW]
[ROW][C]321[/C][C]0.999992106780136[/C][C]1.57864397275002e-05[/C][C]7.8932198637501e-06[/C][/ROW]
[ROW][C]322[/C][C]0.999984984151063[/C][C]3.00316978741223e-05[/C][C]1.50158489370612e-05[/C][/ROW]
[ROW][C]323[/C][C]0.999971491136388[/C][C]5.70177272231175e-05[/C][C]2.85088636115588e-05[/C][/ROW]
[ROW][C]324[/C][C]0.99994901624389[/C][C]0.000101967512221353[/C][C]5.09837561106764e-05[/C][/ROW]
[ROW][C]325[/C][C]0.999908511998062[/C][C]0.000182976003875126[/C][C]9.14880019375629e-05[/C][/ROW]
[ROW][C]326[/C][C]0.99983368511037[/C][C]0.000332629779260524[/C][C]0.000166314889630262[/C][/ROW]
[ROW][C]327[/C][C]0.999717146441544[/C][C]0.000565707116911733[/C][C]0.000282853558455866[/C][/ROW]
[ROW][C]328[/C][C]0.99951394748524[/C][C]0.000972105029521198[/C][C]0.000486052514760599[/C][/ROW]
[ROW][C]329[/C][C]0.999174338491897[/C][C]0.00165132301620572[/C][C]0.000825661508102859[/C][/ROW]
[ROW][C]330[/C][C]0.99899827267616[/C][C]0.00200345464768209[/C][C]0.00100172732384104[/C][/ROW]
[ROW][C]331[/C][C]0.998294664346937[/C][C]0.00341067130612676[/C][C]0.00170533565306338[/C][/ROW]
[ROW][C]332[/C][C]0.997207141839954[/C][C]0.00558571632009281[/C][C]0.00279285816004640[/C][/ROW]
[ROW][C]333[/C][C]0.995968351544944[/C][C]0.0080632969101117[/C][C]0.00403164845505585[/C][/ROW]
[ROW][C]334[/C][C]0.995592316638619[/C][C]0.00881536672276272[/C][C]0.00440768336138136[/C][/ROW]
[ROW][C]335[/C][C]0.998531624355842[/C][C]0.00293675128831596[/C][C]0.00146837564415798[/C][/ROW]
[ROW][C]336[/C][C]0.999942802012115[/C][C]0.000114395975769799[/C][C]5.71979878848994e-05[/C][/ROW]
[ROW][C]337[/C][C]0.999986760771728[/C][C]2.64784565434973e-05[/C][C]1.32392282717486e-05[/C][/ROW]
[ROW][C]338[/C][C]0.999999838584183[/C][C]3.22831633310647e-07[/C][C]1.61415816655324e-07[/C][/ROW]
[ROW][C]339[/C][C]0.9999999962092[/C][C]7.58159858142769e-09[/C][C]3.79079929071385e-09[/C][/ROW]
[ROW][C]340[/C][C]0.999999997024752[/C][C]5.9504959325074e-09[/C][C]2.9752479662537e-09[/C][/ROW]
[ROW][C]341[/C][C]0.999999991738527[/C][C]1.65229461143204e-08[/C][C]8.26147305716022e-09[/C][/ROW]
[ROW][C]342[/C][C]0.99999996179703[/C][C]7.64059416697605e-08[/C][C]3.82029708348803e-08[/C][/ROW]
[ROW][C]343[/C][C]0.999999929385332[/C][C]1.41229336905448e-07[/C][C]7.06146684527242e-08[/C][/ROW]
[ROW][C]344[/C][C]0.999999794209615[/C][C]4.11580769051400e-07[/C][C]2.05790384525700e-07[/C][/ROW]
[ROW][C]345[/C][C]0.999999323877755[/C][C]1.35224448963857e-06[/C][C]6.76122244819287e-07[/C][/ROW]
[ROW][C]346[/C][C]0.999999468066366[/C][C]1.06386726874969e-06[/C][C]5.31933634374847e-07[/C][/ROW]
[ROW][C]347[/C][C]0.999997243186445[/C][C]5.51362710998818e-06[/C][C]2.75681355499409e-06[/C][/ROW]
[ROW][C]348[/C][C]0.99998926228814[/C][C]2.1475423718205e-05[/C][C]1.07377118591025e-05[/C][/ROW]
[ROW][C]349[/C][C]0.999958646264932[/C][C]8.27074701365507e-05[/C][C]4.13537350682753e-05[/C][/ROW]
[ROW][C]350[/C][C]0.999990086396503[/C][C]1.98272069930429e-05[/C][C]9.91360349652147e-06[/C][/ROW]
[ROW][C]351[/C][C]0.999939817828316[/C][C]0.000120364343367269[/C][C]6.01821716836343e-05[/C][/ROW]
[ROW][C]352[/C][C]0.999669682352602[/C][C]0.000660635294796498[/C][C]0.000330317647398249[/C][/ROW]
[ROW][C]353[/C][C]0.999887727210634[/C][C]0.000224545578731654[/C][C]0.000112272789365827[/C][/ROW]
[ROW][C]354[/C][C]0.999029485274074[/C][C]0.00194102945185158[/C][C]0.000970514725925788[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=93490&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=93490&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
60.01690540382644760.03381080765289520.983094596173552
70.06297081618662010.1259416323732400.93702918381338
80.2468436518234000.4936873036467990.7531563481766
90.4251576974312160.8503153948624310.574842302568785
100.4677697141539960.9355394283079910.532230285846004
110.4610604074917270.9221208149834540.538939592508273
120.4003731797869160.8007463595738310.599626820213084
130.3211749075347320.6423498150694640.678825092465268
140.2523575018355130.5047150036710250.747642498164487
150.1908318487250790.3816636974501570.809168151274921
160.1470318482370310.2940636964740620.852968151762969
170.1102823192582600.2205646385165200.88971768074174
180.08381734563411140.1676346912682230.916182654365889
190.06230529238500750.1246105847700150.937694707614993
200.05352937837540.10705875675080.9464706216246
210.03909306240521060.07818612481042130.96090693759479
220.02603838380723050.05207676761446090.97396161619277
230.02077027735125170.04154055470250350.979229722648748
240.01945762723974150.0389152544794830.980542372760258
250.01847463327530440.03694926655060890.981525366724695
260.03091498465702480.06182996931404950.969085015342975
270.5894766904059480.8210466191881040.410523309594052
280.6617034554679920.6765930890640150.338296544532008
290.6360117912398350.727976417520330.363988208760165
300.5817763353056770.8364473293886460.418223664694323
310.5362036206834520.9275927586330960.463796379316548
320.5235085437677210.9529829124645580.476491456232279
330.4822019159035770.9644038318071540.517798084096423
340.4372929785073130.8745859570146260.562707021492687
350.3938151971873350.787630394374670.606184802812665
360.3531914220119190.7063828440238390.646808577988081
370.3210498627125610.6420997254251210.67895013728744
380.2828687274310990.5657374548621990.7171312725689
390.2467918649998870.4935837299997730.753208135000113
400.2364208240892290.4728416481784580.763579175910771
410.2092724786555380.4185449573110760.790727521344462
420.1799861188554350.3599722377108690.820013881144565
430.1538561212275590.3077122424551180.846143878772441
440.1306163081866970.2612326163733940.869383691813303
450.1082074747502830.2164149495005660.891792525249717
460.08844054408943180.1768810881788640.911559455910568
470.07258518808909760.1451703761781950.927414811910902
480.0776704173803730.1553408347607460.922329582619627
490.08022848965330990.1604569793066200.91977151034669
500.09512700876469850.1902540175293970.904872991235302
510.1081913449750570.2163826899501140.891808655024943
520.1145327487252120.2290654974504240.885467251274788
530.1151221761952500.2302443523905010.88487782380475
540.1058383314951410.2116766629902810.89416166850486
550.09503814210565830.1900762842113170.904961857894342
560.08247993117661350.1649598623532270.917520068823387
570.06972928771881720.1394585754376340.930270712281183
580.06812850765537810.1362570153107560.931871492344622
590.08235956115584740.1647191223116950.917640438844153
600.07805787675910910.1561157535182180.92194212324089
610.0704584759582120.1409169519164240.929541524041788
620.05864002639546480.1172800527909300.941359973604535
630.05087365721655750.1017473144331150.949126342783442
640.04347813208863400.08695626417726810.956521867911366
650.03597082210959150.0719416442191830.964029177890409
660.02956292122552790.05912584245105570.970437078774472
670.02435958686533700.04871917373067400.975640413134663
680.02045144859257710.04090289718515420.979548551407423
690.01754680888176180.03509361776352350.982453191118238
700.01621571643937730.03243143287875450.983784283560623
710.01391084193244000.02782168386488010.98608915806756
720.01154749907813340.02309499815626690.988452500921867
730.009717578036593650.01943515607318730.990282421963406
740.008650691008994140.01730138201798830.991349308991006
750.008408994682119390.01681798936423880.99159100531788
760.007236807577222190.01447361515444440.992763192422778
770.006306092870513640.01261218574102730.993693907129486
780.00582496057906610.01164992115813220.994175039420934
790.005756685737223630.01151337147444730.994243314262776
800.00646329180713660.01292658361427320.993536708192863
810.00590736266214380.01181472532428760.994092637337856
820.005338944785341540.01067788957068310.994661055214658
830.00499199402322120.00998398804644240.995008005976779
840.004957355007152320.009914710014304640.995042644992848
850.00528479424117410.01056958848234820.994715205758826
860.006912274930053260.01382454986010650.993087725069947
870.008990870507212410.01798174101442480.991009129492788
880.01135695668567500.02271391337135000.988643043314325
890.01442553592003750.0288510718400750.985574464079962
900.01959075838762470.03918151677524930.980409241612375
910.02953027269474790.05906054538949570.970469727305252
920.03636720393957630.07273440787915270.963632796060424
930.04256462665645650.0851292533129130.957435373343543
940.05263773082402510.1052754616480500.947362269175975
950.06369479382526620.1273895876505320.936305206174734
960.07263100220478170.1452620044095630.927368997795218
970.08522791564789790.1704558312957960.914772084352102
980.1055337189599260.2110674379198520.894466281040074
990.1192450008119640.2384900016239290.880754999188035
1000.1425373567079940.2850747134159880.857462643292006
1010.1727187075066180.3454374150132350.827281292493382
1020.1916550700522220.3833101401044450.808344929947778
1030.2137961974662200.4275923949324410.78620380253378
1040.2259733616939860.4519467233879730.774026638306013
1050.2277158961499850.455431792299970.772284103850015
1060.2314740498542370.4629480997084740.768525950145763
1070.2265662418055110.4531324836110230.773433758194489
1080.2150990176931100.4301980353862190.78490098230689
1090.2165613551010220.4331227102020440.783438644898978
1100.4657678955508980.9315357911017960.534232104449102
1110.6049058448873530.7901883102252930.395094155112647
1120.6424377887044580.7151244225910840.357562211295542
1130.6458299813900750.7083400372198510.354170018609925
1140.6421693418938450.715661316212310.357830658106155
1150.6305062992399970.7389874015200060.369493700760003
1160.6063261736811860.7873476526376270.393673826318814
1170.5756530454464410.8486939091071180.424346954553559
1180.5442038096649360.9115923806701280.455796190335064
1190.5127473526378180.9745052947243640.487252647362182
1200.4819897095996050.963979419199210.518010290400395
1210.4518671748564240.9037343497128470.548132825143576
1220.4206838901686370.8413677803372740.579316109831363
1230.389902293147570.779804586295140.61009770685243
1240.3603118741699730.7206237483399460.639688125830027
1250.3341529334616470.6683058669232940.665847066538353
1260.3079935830087500.6159871660175010.69200641699125
1270.2830094509155220.5660189018310450.716990549084478
1280.2629601426106290.5259202852212570.737039857389371
1290.2408890338792430.4817780677584850.759110966120757
1300.2189584994101420.4379169988202840.781041500589858
1310.2084560456162690.4169120912325380.791543954383731
1320.1989433551419220.3978867102838440.801056644858078
1330.1823228046514750.3646456093029490.817677195348525
1340.1696547519914150.339309503982830.830345248008585
1350.1594159195588780.3188318391177560.840584080441122
1360.1461087726921430.2922175453842850.853891227307857
1370.1339050880739520.2678101761479040.866094911926048
1380.1217660290414050.2435320580828100.878233970958595
1390.1094621193522270.2189242387044540.890537880647773
1400.09863071953122220.1972614390624440.901369280468778
1410.08956103758572820.1791220751714560.910438962414272
1420.08033933501659810.1606786700331960.919660664983402
1430.07136740441421150.1427348088284230.928632595585788
1440.06291778518720470.1258355703744090.937082214812795
1450.05536715995476330.1107343199095270.944632840045237
1460.05309530910901670.1061906182180330.946904690890983
1470.05122634844806160.1024526968961230.948773651551938
1480.04491122355308390.08982244710616790.955088776446916
1490.04143813821683810.08287627643367620.958561861783162
1500.03737190579979050.0747438115995810.96262809420021
1510.03546592573077400.07093185146154790.964534074269226
1520.03327632370870730.06655264741741460.966723676291293
1530.03051050184743460.06102100369486920.969489498152565
1540.02700127494663680.05400254989327360.972998725053363
1550.02307118407476240.04614236814952480.976928815925238
1560.01982341413363260.03964682826726520.980176585866367
1570.01723385287271660.03446770574543330.982766147127283
1580.01588196330406000.03176392660812010.98411803669594
1590.01355254278800780.02710508557601550.986447457211992
1600.01143133305520430.02286266611040870.988568666944796
1610.009710831532906570.01942166306581310.990289168467093
1620.008607083817234910.01721416763446980.991392916182765
1630.008538615384177830.01707723076835570.991461384615822
1640.00859681609638460.01719363219276920.991403183903615
1650.007181816389315440.01436363277863090.992818183610685
1660.006051384323853620.01210276864770720.993948615676146
1670.005020495261936750.01004099052387350.994979504738063
1680.004223793292463190.008447586584926380.995776206707537
1690.003628777094417060.007257554188834130.996371222905583
1700.003253381658807500.006506763317614990.996746618341192
1710.002690792523029660.005381585046059310.99730920747697
1720.002168500436227420.004337000872454840.997831499563773
1730.001754449545410390.003508899090820780.99824555045459
1740.001417464683897200.002834929367794400.998582535316103
1750.001158046067895420.002316092135790830.998841953932105
1760.000976571040594080.001953142081188160.999023428959406
1770.0008285342871380830.001657068574276170.999171465712862
1780.0007166233797438230.001433246759487650.999283376620256
1790.000635681039612080.001271362079224160.999364318960388
1800.0005817468826399950.001163493765279990.99941825311736
1810.0005137546707189570.001027509341437910.999486245329281
1820.000442125044345810.000884250088691620.999557874955654
1830.0003894575866167580.0007789151732335170.999610542413383
1840.0003468824052612150.000693764810522430.999653117594739
1850.0003098284466743730.0006196568933487460.999690171553326
1860.0002788433540119160.0005576867080238320.999721156645988
1870.0002742142745082340.0005484285490164680.999725785725492
1880.0002889612309653330.0005779224619306670.999711038769035
1890.0002873883203318550.000574776640663710.999712611679668
1900.0002829495398554440.0005658990797108870.999717050460144
1910.0002873828008518510.0005747656017037030.999712617199148
1920.0003022593744705360.0006045187489410720.99969774062553
1930.0003279846570834940.0006559693141669890.999672015342916
1940.0003446989610851810.0006893979221703620.999655301038915
1950.0003663046202003460.0007326092404006920.9996336953798
1960.0003865315218327050.000773063043665410.999613468478167
1970.0004074943277706380.0008149886555412760.99959250567223
1980.0004351586025122130.0008703172050244260.999564841397488
1990.0004716563558415590.0009433127116831180.999528343644158
2000.0005833515900676410.001166703180135280.999416648409932
2010.0007580945704912460.001516189140982490.999241905429509
2020.001206118931102090.002412237862204180.998793881068898
2030.001969697661141530.003939395322283060.998030302338858
2040.003090104119687920.006180208239375840.996909895880312
2050.004737943642410140.009475887284820280.99526205635759
2060.009379371032085020.01875874206417000.990620628967915
2070.05913467979894520.1182693595978900.940865320201055
2080.2309789186438180.4619578372876350.769021081356182
2090.5553727712495650.889254457500870.444627228750435
2100.854505370153460.2909892596930810.145494629846540
2110.8682073909318520.2635852181362950.131792609068148
2120.9470871185127630.1058257629744750.0529128814872373
2130.9588965223464920.08220695530701690.0411034776535085
2140.9654941977410680.06901160451786460.0345058022589323
2150.973874856985030.05225028602994070.0261251430149703
2160.9790901141846450.04181977163071080.0209098858153554
2170.9855596941176520.02888061176469530.0144403058823477
2180.9865591582586230.02688168348275490.0134408417413774
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24913.75838125386625e-171.87919062693313e-17
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25313.9934448481263e-191.99672242406315e-19
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26715.80447364964537e-162.90223682482268e-16
26811.11688858205392e-155.58444291026961e-16
2690.9999999999999992.41933361784672e-151.20966680892336e-15
2700.9999999999999984.05668728954275e-152.02834364477137e-15
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2790.9999999999999539.39154176217922e-144.69577088108961e-14
2800.9999999999999491.01917403179682e-135.09587015898412e-14
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2840.9999999999999361.28165070247341e-136.40825351236704e-14
2850.999999999999921.59108444357251e-137.95542221786253e-14
2860.9999999999998892.22554366847875e-131.11277183423937e-13
2870.9999999999997764.48276508233962e-132.24138254116981e-13
2880.999999999999549.18498332586036e-134.59249166293018e-13
2890.999999999999251.49949019843214e-127.49745099216069e-13
2900.9999999999992081.58383309597348e-127.91916547986742e-13
2910.999999999999181.64048550053439e-128.20242750267197e-13
2920.9999999999984953.01021017107885e-121.50510508553942e-12
2930.9999999999967386.52380740784693e-123.26190370392346e-12
2940.999999999996916.17941927737439e-123.08970963868719e-12
2950.9999999999959588.08399576522499e-124.04199788261250e-12
2960.9999999999930851.38294761600740e-116.91473808003699e-12
2970.9999999999871262.57475345135321e-111.28737672567660e-11
2980.9999999999802073.95855734611034e-111.97927867305517e-11
2990.9999999999630297.39422737926402e-113.69711368963201e-11
3000.9999999999184791.63042968935178e-108.15214844675892e-11
3010.999999999824343.51317119761503e-101.75658559880751e-10
3020.9999999996406977.18606172838778e-103.59303086419389e-10
3030.9999999992688771.46224552785128e-097.31122763925638e-10
3040.9999999984649713.07005798586140e-091.53502899293070e-09
3050.9999999974136585.17268503776028e-092.58634251888014e-09
3060.9999999948607691.02784626455565e-085.13923132277823e-09
3070.999999992634651.47307019263893e-087.36535096319466e-09
3080.99999998773142.45371994155409e-081.22685997077705e-08
3090.9999999769561154.60877695195829e-082.30438847597915e-08
3100.9999999527729029.4454195244491e-084.72270976222455e-08
3110.9999999035207171.92958566016419e-079.64792830082094e-08
3120.9999998045617333.90876533135905e-071.95438266567952e-07
3130.9999997304590785.39081843024165e-072.69540921512083e-07
3140.9999995239260389.5214792356085e-074.76073961780425e-07
3150.999999236459491.52708102094789e-067.63540510473947e-07
3160.9999991263526351.74729472977425e-068.73647364887126e-07
3170.9999985915008622.81699827561689e-061.40849913780844e-06
3180.9999978503047544.29939049292609e-062.14969524646304e-06
3190.9999967234352156.55312956935611e-063.27656478467806e-06
3200.999994904439351.01911213020625e-055.09556065103125e-06
3210.9999921067801361.57864397275002e-057.8932198637501e-06
3220.9999849841510633.00316978741223e-051.50158489370612e-05
3230.9999714911363885.70177272231175e-052.85088636115588e-05
3240.999949016243890.0001019675122213535.09837561106764e-05
3250.9999085119980620.0001829760038751269.14880019375629e-05
3260.999833685110370.0003326297792605240.000166314889630262
3270.9997171464415440.0005657071169117330.000282853558455866
3280.999513947485240.0009721050295211980.000486052514760599
3290.9991743384918970.001651323016205720.000825661508102859
3300.998998272676160.002003454647682090.00100172732384104
3310.9982946643469370.003410671306126760.00170533565306338
3320.9972071418399540.005585716320092810.00279285816004640
3330.9959683515449440.00806329691011170.00403164845505585
3340.9955923166386190.008815366722762720.00440768336138136
3350.9985316243558420.002936751288315960.00146837564415798
3360.9999428020121150.0001143959757697995.71979878848994e-05
3370.9999867607717282.64784565434973e-051.32392282717486e-05
3380.9999998385841833.22831633310647e-071.61415816655324e-07
3390.99999999620927.58159858142769e-093.79079929071385e-09
3400.9999999970247525.9504959325074e-092.9752479662537e-09
3410.9999999917385271.65229461143204e-088.26147305716022e-09
3420.999999961797037.64059416697605e-083.82029708348803e-08
3430.9999999293853321.41229336905448e-077.06146684527242e-08
3440.9999997942096154.11580769051400e-072.05790384525700e-07
3450.9999993238777551.35224448963857e-066.76122244819287e-07
3460.9999994680663661.06386726874969e-065.31933634374847e-07
3470.9999972431864455.51362710998818e-062.75681355499409e-06
3480.999989262288142.1475423718205e-051.07377118591025e-05
3490.9999586462649328.27074701365507e-054.13537350682753e-05
3500.9999900863965031.98272069930429e-059.91360349652147e-06
3510.9999398178283160.0001203643433672696.01821716836343e-05
3520.9996696823526020.0006606352947964980.000330317647398249
3530.9998877272106340.0002245455787316540.000112272789365827
3540.9990294852740740.001941029451851580.000970514725925788







Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level1560.446991404011461NOK
5% type I error level2100.601719197707736NOK
10% type I error level2340.670487106017192NOK

\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 & 156 & 0.446991404011461 & NOK \tabularnewline
5% type I error level & 210 & 0.601719197707736 & NOK \tabularnewline
10% type I error level & 234 & 0.670487106017192 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=93490&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]156[/C][C]0.446991404011461[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]210[/C][C]0.601719197707736[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]234[/C][C]0.670487106017192[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=93490&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=93490&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 level1560.446991404011461NOK
5% type I error level2100.601719197707736NOK
10% type I error level2340.670487106017192NOK



Parameters (Session):
par1 = 2 ; par2 = Do not include Seasonal Dummies ; par3 = Linear Trend ;
Parameters (R input):
par1 = 2 ; 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')
}