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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 computationSat, 03 Nov 2012 08:37:48 -0400
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2012/Nov/03/t1351946485ruw3yzsjsvf0oaf.htm/, Retrieved Sun, 03 Jul 2022 13:57:57 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=185713, Retrieved Sun, 03 Jul 2022 13:57:57 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact93
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Multiple Regression] [WS 7 tutorial] [2012-11-03 12:37:48] [074a00bbc2315ea54a3f557bcf69eecf] [Current]
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Dataseries X:
87.28	255
87.28	280.2
87.09	299.9
86.92	339.2
87.59	374.2
90.72	393.5
90.69	389.2
90.3	381.7
89.55	375.2
88.94	369
88.41	357.4
87.82	352.1
87.07	346.5
86.82	342.9
86.4	340.3
86.02	328.3
85.66	322.9
85.32	314.3
85	308.9
84.67	294
83.94	285.6
82.83	281.2
81.95	280.3
81.19	278.8
80.48	274.5
78.86	270.4
69.47	263.4
68.77	259.9
70.06	258
73.95	262.7
75.8	284.7
77.79	311.3
81.57	322.1
83.07	327
84.34	331.3
85.1	333.3
85.25	321.4
84.26	327
83.63	320
86.44	314.7
85.3	316.7
84.1	314.4
83.36	321.3
82.48	318.2
81.58	307.2
80.47	301.3
79.34	287.5
82.13	277.7
81.69	274.4
80.7	258.8
79.88	253.3
79.16	251
78.38	248.4
77.42	249.5
76.47	246.1
75.46	244.5
74.48	243.6
78.27	244
80.7	240.8
79.91	249.8
78.75	248
77.78	259.4
81.14	260.5
81.08	260.8
80.03	261.3
78.91	259.5
78.01	256.6
76.9	257.9
75.97	256.5
81.93	254.2
80.27	253.3
78.67	253.8
77.42	255.5
76.16	257.1
74.7	257.3
76.39	253.2
76.04	252.8
74.65	252
73.29	250.7
71.79	252.2
74.39	250
74.91	251
74.54	253.4
73.08	251.2
72.75	255.6
71.32	261.1
70.38	258.9
70.35	259.9
70.01	261.2
69.36	264.7
67.77	267.1
69.26	266.4
69.8	267.7
68.38	268.6
67.62	267.5
68.39	268.5
66.95	268.5
65.21	270.5
66.64	270.9
63.45	270.1
60.66	269.3
62.34	269.8
60.32	270.1
58.64	264.9
60.46	263.7
58.59	264.8
61.87	263.7
61.85	255.9
67.44	276.2
77.06	360.1
91.74	380.5
93.15	373.7
94.15	369.8
93.11	366.6
91.51	359.3
89.96	345.8
88.16	326.2
86.98	324.5
88.03	328.1
86.24	327.5
84.65	324.4
83.23	316.5
81.7	310.9
80.25	301.5
78.8	291.7
77.51	290.4
76.2	287.4
75.04	277.7
74	281.6
75.49	288
77.14	276
76.15	272.9
76.27	283
78.19	283.3
76.49	276.8
77.31	284.5
76.65	282.7
74.99	281.2
73.51	287.4
72.07	283.1
70.59	284
71.96	285.5
76.29	289.2
74.86	292.5
74.93	296.4
71.9	305.2
71.01	303.9
77.47	311.5
75.78	316.3
76.6	316.7
76.07	322.5
74.57	317.1
73.02	309.8
72.65	303.8
73.16	290.3
71.53	293.7
69.78	291.7
67.98	296.5
69.96	289.1
72.16	288.5
70.47	293.8
68.86	297.7
67.37	305.4
65.87	302.7
72.16	302.5
71.34	303
69.93	294.5
68.44	294.1
67.16	294.5
66.01	297.1
67.25	289.4
70.91	292.4
69.75	287.9
68.59	286.6
67.48	280.5
66.31	272.4
64.81	269.2
66.58	270.6
65.97	267.3
64.7	262.5
64.7	266.8
60.94	268.8
59.08	263.1
58.42	261.2
57.77	266
57.11	262.5
53.31	265.2
49.96	261.3
49.4	253.7
48.84	249.2
48.3	239.1
47.74	236.4
47.24	235.2
46.76	245.2
46.29	246.2
48.9	247.7
49.23	251.4
48.53	253.3
48.03	254.8
54.34	250
53.79	249.3
53.24	241.5
52.96	243.3
52.17	248
51.7	253
58.55	252.9
78.2	251.5
77.03	251.6
76.19	253.5
77.15	259.8
75.87	334.1
95.47	448
109.67	445.8
112.28	445
112.01	448.2
107.93	438.2
105.96	439.8
105.06	423.4
102.98	410.8
102.2	408.4
105.23	406.7
101.85	405.9
99.89	402.7
96.23	405.1
94.76	399.6
91.51	386.5
91.63	381.4
91.54	375.2
85.23	357.7
87.83	359
87.38	355
84.44	352.7
85.19	344.4
84.03	343.8
86.73	338
102.52	339
104.45	333.3
106.98	334.4
107.02	328.3
99.26	330.7
94.45	330
113.44	331.6
157.33	351.2
147.38	389.4
171.89	410.9
171.95	442.8
132.71	462.8
126.02	466.9
121.18	461.7
115.45	439.2
110.48	430.3
117.85	416.1
117.63	402.5
124.65	397.3
109.59	403.3
111.27	395.9
99.78	387.8
98.21	378.6
99.2	377.1
97.97	370.4
89.55	362
87.91	350.3
93.34	348.2
94.42	344.6
93.2	343.5
90.29	342.8
91.46	347.6
89.98	346.6
88.35	349.5
88.41	342.1
82.44	342
79.89	342.8
75.69	339.3
75.66	348.2
84.5	333.7
96.73	334.7
87.48	354
82.39	367.7
83.48	363.3
79.31	358.4
78.16	353.1
72.77	343.1
72.45	344.6
68.46	344.4
67.62	333.9
68.76	331.7
70.07	324.3
68.55	321.2
65.3	322.4
58.96	321.7
59.17	320.5
62.37	312.8
66.28	309.7
55.62	315.6
55.23	309.7
55.85	304.6
56.75	302.5
50.89	301.5
53.88	298.8
52.95	291.3
55.08	293.6
53.61	294.6
58.78	285.9
61.85	297.6
55.91	301.1
53.32	293.8
46.41	297.7
44.57	292.9
50	292.1
50	287.2
53.36	288.2
46.23	283.8
50.45	299.9
49.07	292.4
45.85	293.3
48.45	300.8
49.96	293.7
46.53	293.1
50.51	294.4
47.58	292.1
48.05	291.9
46.84	282.5
47.67	277.9
49.16	287.5
55.54	289.2
55.82	285.6
58.22	293.2
56.19	290.8
57.77	283.1
63.19	275
54.76	287.8
55.74	287.8
62.54	287.4
61.39	284
69.6	277.8
79.23	277.6
80	304.9
93.68	294
107.63	300.9
100.18	324
97.3	332.9
90.45	341.6
80.64	333.4
80.58	348.2
75.82	344.7
85.59	344.7
89.35	329.3
89.42	323.5
104.73	323.2
95.32	317.4
89.27	330.1
90.44	329.2
86.97	334.9
79.98	315.8
81.22	315.4
87.35	319.6
83.64	317.3
82.22	313.8
94.4	315.8
102.18	311.3




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time14 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 14 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=185713&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]14 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=185713&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=185713&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 time14 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net







Multiple Linear Regression - Estimated Regression Equation
USA[t] = + 135.698187089792 + 1.88117003420919Colombia[t] + 0.148421997798835t + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
USA[t] =  +  135.698187089792 +  1.88117003420919Colombia[t] +  0.148421997798835t  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=185713&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]USA[t] =  +  135.698187089792 +  1.88117003420919Colombia[t] +  0.148421997798835t  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=185713&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=185713&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 + 1.88117003420919Colombia[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
Colombia1.881170034209190.08705721.608500
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 & 1.88117003420919 & 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=185713&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]1.88117003420919[/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=185713&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=185713&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
Colombia1.881170034209190.08705721.608500
t0.1484219977988350.015779.411600







Multiple Linear Regression - Regression Statistics
Multiple R0.775073512463964
R-squared0.600738949723227
Adjusted R-squared0.598502193139044
F-TEST (value)268.575916562013
F-TEST (DF numerator)2
F-TEST (DF denominator)357
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation31.0592597650331
Sum Squared Residuals344389.909323193

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.775073512463964 \tabularnewline
R-squared & 0.600738949723227 \tabularnewline
Adjusted R-squared & 0.598502193139044 \tabularnewline
F-TEST (value) & 268.575916562013 \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 & 31.0592597650331 \tabularnewline
Sum Squared Residuals & 344389.909323193 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=185713&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.775073512463964[/C][/ROW]
[ROW][C]R-squared[/C][C]0.600738949723227[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.598502193139044[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]268.575916562013[/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]31.0592597650331[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]344389.909323193[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=185713&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=185713&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 R0.775073512463964
R-squared0.600738949723227
Adjusted R-squared0.598502193139044
F-TEST (value)268.575916562013
F-TEST (DF numerator)2
F-TEST (DF denominator)357
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation31.0592597650331
Sum Squared Residuals344389.909323193







Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
1255300.035129673369-45.0351296733693
2280.2300.183551671168-19.9835516711683
3299.9299.974551362467-0.0745513624673993
4339.2299.80317445445139.3968255455494
5374.2301.2119803751772.9880196248304
6393.5307.24846458004386.2515354199568
7389.2307.34045147681681.8595485231843
8381.7306.75521716127374.944782838727
9375.2305.49276163341569.7072383665851
10369304.49366991034664.5063300896539
11357.4303.64507179001453.7549282099859
12352.1302.68360346762949.4163965323705
13346.5301.42114793977145.0788520602285
14342.9301.09927742901841.800722570982
15340.3300.45760801244939.842391987551
16328.3299.89118539724828.4088146027517
17322.9299.36238618273223.5376138172681
18314.3298.871210368915.4287896311005
19308.9298.41765795575110.4823420442485
20294297.945293842261-3.94529384226124
21285.6296.720461715087-11.1204617150873
22281.2294.780784974914-13.580784974914
23280.3293.273777342609-12.9737773426087
24278.8291.992510114409-13.1925101144086
25274.5290.805301387919-16.3053013879189
26270.4287.906227930299-17.5062279302989
27263.4270.390463306873-6.99046330687336
28259.9269.222066280726-9.32206628072575
29258271.797197622654-13.7971976226544
30262.7279.263371053527-16.563371053527
31284.7282.8919576146131.80804238538712
32311.3286.78390798048824.516092019512
33322.1294.04315270759828.0568472924024
34327297.0133297567129.9866702432898
35331.3299.55083769795531.7491623020453
36333.3301.12894892175332.1710510782475
37321.4301.55954642468319.8404535753172
38327299.84561008861527.1543899113855
39320298.80889496486221.1911050351385
40314.7304.24340475878810.4565952412118
41316.7302.24729291758914.4527070824114
42314.4300.13831087433614.2616891256636
43321.3298.8946670468222.4053329531796
44318.2297.38765941451520.8123405854848
45307.2295.84302838152611.3569716184743
46301.3293.9033516413527.39664835864767
47287.5291.926051500495-4.42605150049479
48277.7297.322937893737-19.6229378937373
49274.4296.643645076484-22.2436450764841
50258.8294.929708740416-36.1297087404158
51253.3293.535571310163-40.2355713101631
52251292.329550883331-41.3295508833313
53248.4291.010660254447-42.610660254447
54249.5289.353159019405-39.853159019405
55246.1287.714469484705-41.6144694847051
56244.5285.962909747953-41.4629097479526
57243.6284.267785112226-40.6677851122265
58244291.545841539678-47.5458415396781
59240.8296.265506720605-55.4655067206053
60249.8294.927804391379-45.1278043913789
61248292.894069149495-44.894069149495
62259.4291.217756214111-31.817756214111
63260.5297.686909526853-37.1869095268527
64260.8297.722461322599-36.922461322599
65261.3295.895654784478-34.5956547844782
66259.5293.937166343963-34.4371663439627
67256.6292.392535310973-35.7925353109732
68257.9290.4528585708-32.5528585707999
69256.5288.851792436784-32.3517924367842
70254.2300.21198783847-46.0119878384698
71253.3297.237667579481-43.9376675794814
72253.8294.376217522546-40.5762175225455
73255.5292.173176977583-36.6731769775828
74257.1289.951324732278-32.8513247322781
75257.3287.353238480131-30.0532384801315
76253.2290.680837835744-37.4808378357439
77252.8290.17085032157-37.3708503215695
78252287.704445971818-35.7044459718176
79250.7285.294476723092-34.5944767230919
80252.2282.621143669577-30.4211436695769
81250287.66060775632-37.6606077563197
82251288.787238171907-37.7872381719073
83253.4288.239627257049-34.8396272570487
84251.2285.641541004902-34.4415410049021
85255.6285.169176891412-29.5691768914119
86261.1282.627525740292-21.5275257402916
87258.9281.007647905934-22.1076479059338
88259.9281.099634802706-21.1996348027064
89261.2280.608458988874-19.4084589888741
90264.7279.534120464437-14.8341204644369
91267.1276.691482107843-9.59148210784312
92266.4279.642847456614-13.2428474566137
93267.7280.807101272885-13.1071012728855
94268.6278.284261822107-9.68426182210724
95267.5277.002994593907-9.50299459390712
96268.5278.599917518047-10.099917518047
97268.5276.039454666585-7.53945466658463
98270.5272.914640804859-2.41464080485945
99270.9275.753135951577-4.85313595157747
100270.1269.9006255402490.19937445975107
101269.3264.8005831426044.49941685739588
102269.8268.1093707978741.69062920212559
103270.1264.4578293265715.64217067342935
104264.9261.4458856668983.45411433310191
105263.7265.018037126958-1.31803712695765
106264.8261.6486711607853.15132883921473
107263.7267.96733087079-4.26733087079028
108255.9268.078129467905-12.1781294679049
109276.2278.742291956933-2.54229195693315
110360.1296.98756968382463.1124303161756
111380.5324.75156778381455.7484322161858
112373.7327.55243952984846.1475604701519
113369.8329.58203156185640.2179684381439
114366.6327.77403672407738.8259632759227
115359.3324.91258666714134.3874133328585
116345.8322.14519511191623.654804888084
117326.2318.9075110481387.29248895186166
118324.5316.836152405577.66384759442967
119328.1318.9598029392899.14019706071121
120327.5315.74093057585311.7590694241468
121324.4312.89829221925911.5017077807406
122316.5310.3754527684816.12454723151881
123310.9307.645684613943.25431538606003
124301.5305.066410062135-3.56641006213545
125291.7302.487135510331-10.787135510331
126290.4300.208848164-9.80884816399996
127287.4297.892937416985-10.4929374169847
128277.7295.859202175101-18.1592021751009
129281.6294.051207337322-12.4512073373221
130288297.002572686093-9.00257268609269
131276300.254925240337-24.2549252403367
132272.9298.540988904268-25.6409889042685
133283298.915151306172-15.9151513061724
134283.3302.675419769653-19.3754197696529
135276.8299.625852709296-22.825852709296
136284.5301.316834135146-16.8168341351464
137282.7300.223683910367-17.5236839103672
138281.2297.249363651379-16.0493636513788
139287.4294.613653998548-7.21365399854804
140283.1292.053191147086-8.95319114708557
141284289.417481494255-5.41748149425484
142285.5292.14310643892-6.64310643892025
143289.2300.436994684845-11.2369946848449
144292.5297.895343533725-5.39534353372459
145296.4298.175447433918-1.77544743391811
146305.2292.62392422806312.5760757719369
147303.9291.09810489541612.8018951045843
148311.5303.3988853142068.10111468579407
149316.3300.36812995419115.9318700458088
150316.7302.05911138004214.6408886199584
151322.5301.2105132597121.2894867402904
152317.1298.53718020619518.5628197938054
153309.8295.76978865096914.0302113490308
154303.8295.2221777361118.57782226388937
155290.3296.329996451356-6.02999645135613
156293.7293.4121112933940.287888706605987
157291.7290.2684857313271.43151426867324
158296.5287.0308016675499.46919833245096
159289.1290.903940333082-1.80394033308204
160288.5295.190936406141-6.69093640614113
161293.8292.1601810461261.63981895387358
162297.7289.2799192888488.42008071115153
163305.4286.62539793567618.7746020643244
164302.7283.95206488216118.7479351178393
165302.5295.9330463951356.5669536048647
166303294.5389089648838.46109103511739
167294.5292.0348812144472.46511878555351
168294.1289.3803598612744.71964013872641
169294.5287.1208842152857.37911578471533
170297.1285.10596067374311.9940393262571
171289.4287.5870335139611.8129664860388
172292.4294.620537836966-2.22053783696568
173287.9292.586802595082-4.68680259508185
174286.6290.553067353198-3.95306735319799
175280.5288.613390613025-8.11339061302464
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
185266271.831449558842-5.83144955884172
186262.5270.738299334062-8.23829933406247
187265.2263.7382752018661.46172479813362
188261.3257.5847775850643.7152224149356
189253.7256.679744363706-2.9797443637061
190249.2255.774711142348-6.5747111423478
191239.1254.907301321674-15.8073013216737
192236.4254.002268100315-17.6022681003153
193235.2253.21010508101-18.0101050810096
194245.2252.455565462388-7.255565462388
195246.2251.719837544109-5.51983754410852
196247.7256.778113331193-9.07811333119335
197251.4257.547321440281-6.14732144028119
198253.3256.378924414134-3.0789244141336
199254.8255.586761394828-0.786761394827835
200250267.605366308487-17.6053663084867
201249.3266.71914478747-17.4191447874705
202241.5265.832923266454-24.3329232664543
203243.3265.454617654675-22.1546176546745
204248264.116915325448-16.1169153254481
205253263.381187407169-10.3811874071686
206252.9276.4156241393-23.5156241393004
207251.5313.52903730931-62.0290373093099
208251.6311.476490367084-59.876490367084
209253.5310.044729536147-56.5447295361471
210259.8311.999074766787-52.1990747667868
211334.1309.73959912079824.3604008792022
212448346.758953789097101.241046210903
213445.8373.61999027266672.1800097273338
214445378.67826605975166.3217339402489
215448.2378.31877214831369.8812278516865
216438.2370.79202040653967.4079795934612
217439.8367.23453743694572.5654625630545
218423.4365.68990640395657.7100935960439
219410.8361.925494730648.8745052694002
220408.4360.60660410171547.7933958982845
221406.7366.45497130316840.2450286968319
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
231355334.36030617052220.6396938294777
232352.7328.97808826774623.7219117322538
233344.4330.53738779120213.8626122087981
234343.8328.50365254931815.2963474506819
235338333.7312336394824.26876636051827
236339363.583330477444-24.5833304774437
237333.3367.362410641266-34.0624106412663
238334.4372.270192825614-37.8701928256144
239328.3372.493861624782-44.1938616247816
240330.7358.044404157117-27.3444041571171
241330349.14439829037-19.1443982903697
242331.6385.016239237801-53.4162392378011
243351.2467.729214037042-116.529214037042
244389.4449.159994194459-59.7599941944589
245410.9495.415893730725-84.515893730725
246442.8495.677185930576-52.8771859305764
247462.8422.00849578600740.7915042139935
248466.9409.57189025494657.3281097450542
249461.7400.61544928717261.0845507128278
250439.2389.98476698895249.2152330110477
251430.3380.78377391673149.5162260832686
252416.1394.79641906665221.303580933348
253402.5394.5309836569257.96901634307517
254397.3407.885219294872-10.5852192948722
255403.3379.70322057748123.5967794225194
256395.9383.01200823275112.8879917672491
257387.8361.54578653748626.2542134625139
258378.6358.74077158157619.8592284184236
259377.1360.75155191324216.3484480867576
260370.4358.58613476896411.813865231036
261362342.89510507872119.1048949212786
262350.3339.95840822041710.3415917795829
263348.2350.321583503972-2.12158350397189
264344.6352.501669138717-7.90166913871662
265343.5350.35506369478-6.85506369478026
266342.8345.02928089303-2.22928089303034
267347.6347.3786718308540.221328169146103
268346.6344.7429621780231.85703782197686
269349.5341.8250770200617.67492297993901
270342.1342.0863692199120.0136307800876353
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
283344.6313.99238144531930.6076185546815
284344.4306.63493500662337.7650649933773
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
293309.7303.8697823122365.83021768776385
294315.6283.96493174536531.6350682546351
295309.7283.37969742982226.3203025701778
296304.6284.69444484883119.9055551511693
297302.5286.53591987741815.9640801225821
298301.5275.66068547475125.8393145252492
299298.8281.43380587483517.3661941251649
300291.3279.83273974081911.4672602591806
301293.6283.9880539114849.61194608851618
302294.6281.37115595899513.2288440410049
303285.9291.245227033656-5.34522703365556
304297.6297.1688410364770.431158963523426
305301.1286.14311303107314.9568869689272
306293.8281.4193046402712.3806953597302
307297.7268.56884170168329.1311582983169
308292.9265.25591083653727.6440891634629
309292.1275.61908612009216.4809138799082
310287.2275.76750811789111.4324918821093
311288.2282.2366614306325.96333856936761
312283.8268.9723410845214.8276589154804
313299.9277.05930062668122.8406993733187
314292.4274.61170797727117.7882920227285
315293.3268.70276246491724.5972375350833
316300.8273.74222655165927.0577734483406
317293.7276.73121530111416.9687846988859
318293.1270.42722408157522.6727759184246
319294.4278.06270281552716.3372971844731
320292.1272.69929661309319.4007033869073
321291.9273.7318685269718.1681314730301
322282.5271.60407478337610.8959252166244
323277.9273.3138679095684.58613209043188
324287.5276.26523325833911.2347667416614
325289.2288.4155200743920.784479925607875
326285.6289.090669681769-3.4906696817695
327293.2293.75389976167-0.553899761670429
328290.8290.0835465900250.716453409975422
329283.1293.204217241874-10.1042172418739
330275303.548580825087-28.5485808250866
331287.8287.838739434502-0.0387394345019337
332287.8289.830708065826-2.03070806582579
333287.4302.771086296247-15.3710862962472
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
342341.6356.610339931215-15.0103399312153
343333.4338.304483893422-4.90448389342193
344348.2338.3400356891689.8599643108318
345344.7329.53408832413115.1659116758687
346344.7348.061541556154-3.36154155615394
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
356319.6352.85662079435-33.2566207943504
357317.3346.025901965233-28.7259019652332
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 & 300.035129673369 & -45.0351296733693 \tabularnewline
2 & 280.2 & 300.183551671168 & -19.9835516711683 \tabularnewline
3 & 299.9 & 299.974551362467 & -0.0745513624673993 \tabularnewline
4 & 339.2 & 299.803174454451 & 39.3968255455494 \tabularnewline
5 & 374.2 & 301.21198037517 & 72.9880196248304 \tabularnewline
6 & 393.5 & 307.248464580043 & 86.2515354199568 \tabularnewline
7 & 389.2 & 307.340451476816 & 81.8595485231843 \tabularnewline
8 & 381.7 & 306.755217161273 & 74.944782838727 \tabularnewline
9 & 375.2 & 305.492761633415 & 69.7072383665851 \tabularnewline
10 & 369 & 304.493669910346 & 64.5063300896539 \tabularnewline
11 & 357.4 & 303.645071790014 & 53.7549282099859 \tabularnewline
12 & 352.1 & 302.683603467629 & 49.4163965323705 \tabularnewline
13 & 346.5 & 301.421147939771 & 45.0788520602285 \tabularnewline
14 & 342.9 & 301.099277429018 & 41.800722570982 \tabularnewline
15 & 340.3 & 300.457608012449 & 39.842391987551 \tabularnewline
16 & 328.3 & 299.891185397248 & 28.4088146027517 \tabularnewline
17 & 322.9 & 299.362386182732 & 23.5376138172681 \tabularnewline
18 & 314.3 & 298.8712103689 & 15.4287896311005 \tabularnewline
19 & 308.9 & 298.417657955751 & 10.4823420442485 \tabularnewline
20 & 294 & 297.945293842261 & -3.94529384226124 \tabularnewline
21 & 285.6 & 296.720461715087 & -11.1204617150873 \tabularnewline
22 & 281.2 & 294.780784974914 & -13.580784974914 \tabularnewline
23 & 280.3 & 293.273777342609 & -12.9737773426087 \tabularnewline
24 & 278.8 & 291.992510114409 & -13.1925101144086 \tabularnewline
25 & 274.5 & 290.805301387919 & -16.3053013879189 \tabularnewline
26 & 270.4 & 287.906227930299 & -17.5062279302989 \tabularnewline
27 & 263.4 & 270.390463306873 & -6.99046330687336 \tabularnewline
28 & 259.9 & 269.222066280726 & -9.32206628072575 \tabularnewline
29 & 258 & 271.797197622654 & -13.7971976226544 \tabularnewline
30 & 262.7 & 279.263371053527 & -16.563371053527 \tabularnewline
31 & 284.7 & 282.891957614613 & 1.80804238538712 \tabularnewline
32 & 311.3 & 286.783907980488 & 24.516092019512 \tabularnewline
33 & 322.1 & 294.043152707598 & 28.0568472924024 \tabularnewline
34 & 327 & 297.01332975671 & 29.9866702432898 \tabularnewline
35 & 331.3 & 299.550837697955 & 31.7491623020453 \tabularnewline
36 & 333.3 & 301.128948921753 & 32.1710510782475 \tabularnewline
37 & 321.4 & 301.559546424683 & 19.8404535753172 \tabularnewline
38 & 327 & 299.845610088615 & 27.1543899113855 \tabularnewline
39 & 320 & 298.808894964862 & 21.1911050351385 \tabularnewline
40 & 314.7 & 304.243404758788 & 10.4565952412118 \tabularnewline
41 & 316.7 & 302.247292917589 & 14.4527070824114 \tabularnewline
42 & 314.4 & 300.138310874336 & 14.2616891256636 \tabularnewline
43 & 321.3 & 298.89466704682 & 22.4053329531796 \tabularnewline
44 & 318.2 & 297.387659414515 & 20.8123405854848 \tabularnewline
45 & 307.2 & 295.843028381526 & 11.3569716184743 \tabularnewline
46 & 301.3 & 293.903351641352 & 7.39664835864767 \tabularnewline
47 & 287.5 & 291.926051500495 & -4.42605150049479 \tabularnewline
48 & 277.7 & 297.322937893737 & -19.6229378937373 \tabularnewline
49 & 274.4 & 296.643645076484 & -22.2436450764841 \tabularnewline
50 & 258.8 & 294.929708740416 & -36.1297087404158 \tabularnewline
51 & 253.3 & 293.535571310163 & -40.2355713101631 \tabularnewline
52 & 251 & 292.329550883331 & -41.3295508833313 \tabularnewline
53 & 248.4 & 291.010660254447 & -42.610660254447 \tabularnewline
54 & 249.5 & 289.353159019405 & -39.853159019405 \tabularnewline
55 & 246.1 & 287.714469484705 & -41.6144694847051 \tabularnewline
56 & 244.5 & 285.962909747953 & -41.4629097479526 \tabularnewline
57 & 243.6 & 284.267785112226 & -40.6677851122265 \tabularnewline
58 & 244 & 291.545841539678 & -47.5458415396781 \tabularnewline
59 & 240.8 & 296.265506720605 & -55.4655067206053 \tabularnewline
60 & 249.8 & 294.927804391379 & -45.1278043913789 \tabularnewline
61 & 248 & 292.894069149495 & -44.894069149495 \tabularnewline
62 & 259.4 & 291.217756214111 & -31.817756214111 \tabularnewline
63 & 260.5 & 297.686909526853 & -37.1869095268527 \tabularnewline
64 & 260.8 & 297.722461322599 & -36.922461322599 \tabularnewline
65 & 261.3 & 295.895654784478 & -34.5956547844782 \tabularnewline
66 & 259.5 & 293.937166343963 & -34.4371663439627 \tabularnewline
67 & 256.6 & 292.392535310973 & -35.7925353109732 \tabularnewline
68 & 257.9 & 290.4528585708 & -32.5528585707999 \tabularnewline
69 & 256.5 & 288.851792436784 & -32.3517924367842 \tabularnewline
70 & 254.2 & 300.21198783847 & -46.0119878384698 \tabularnewline
71 & 253.3 & 297.237667579481 & -43.9376675794814 \tabularnewline
72 & 253.8 & 294.376217522546 & -40.5762175225455 \tabularnewline
73 & 255.5 & 292.173176977583 & -36.6731769775828 \tabularnewline
74 & 257.1 & 289.951324732278 & -32.8513247322781 \tabularnewline
75 & 257.3 & 287.353238480131 & -30.0532384801315 \tabularnewline
76 & 253.2 & 290.680837835744 & -37.4808378357439 \tabularnewline
77 & 252.8 & 290.17085032157 & -37.3708503215695 \tabularnewline
78 & 252 & 287.704445971818 & -35.7044459718176 \tabularnewline
79 & 250.7 & 285.294476723092 & -34.5944767230919 \tabularnewline
80 & 252.2 & 282.621143669577 & -30.4211436695769 \tabularnewline
81 & 250 & 287.66060775632 & -37.6606077563197 \tabularnewline
82 & 251 & 288.787238171907 & -37.7872381719073 \tabularnewline
83 & 253.4 & 288.239627257049 & -34.8396272570487 \tabularnewline
84 & 251.2 & 285.641541004902 & -34.4415410049021 \tabularnewline
85 & 255.6 & 285.169176891412 & -29.5691768914119 \tabularnewline
86 & 261.1 & 282.627525740292 & -21.5275257402916 \tabularnewline
87 & 258.9 & 281.007647905934 & -22.1076479059338 \tabularnewline
88 & 259.9 & 281.099634802706 & -21.1996348027064 \tabularnewline
89 & 261.2 & 280.608458988874 & -19.4084589888741 \tabularnewline
90 & 264.7 & 279.534120464437 & -14.8341204644369 \tabularnewline
91 & 267.1 & 276.691482107843 & -9.59148210784312 \tabularnewline
92 & 266.4 & 279.642847456614 & -13.2428474566137 \tabularnewline
93 & 267.7 & 280.807101272885 & -13.1071012728855 \tabularnewline
94 & 268.6 & 278.284261822107 & -9.68426182210724 \tabularnewline
95 & 267.5 & 277.002994593907 & -9.50299459390712 \tabularnewline
96 & 268.5 & 278.599917518047 & -10.099917518047 \tabularnewline
97 & 268.5 & 276.039454666585 & -7.53945466658463 \tabularnewline
98 & 270.5 & 272.914640804859 & -2.41464080485945 \tabularnewline
99 & 270.9 & 275.753135951577 & -4.85313595157747 \tabularnewline
100 & 270.1 & 269.900625540249 & 0.19937445975107 \tabularnewline
101 & 269.3 & 264.800583142604 & 4.49941685739588 \tabularnewline
102 & 269.8 & 268.109370797874 & 1.69062920212559 \tabularnewline
103 & 270.1 & 264.457829326571 & 5.64217067342935 \tabularnewline
104 & 264.9 & 261.445885666898 & 3.45411433310191 \tabularnewline
105 & 263.7 & 265.018037126958 & -1.31803712695765 \tabularnewline
106 & 264.8 & 261.648671160785 & 3.15132883921473 \tabularnewline
107 & 263.7 & 267.96733087079 & -4.26733087079028 \tabularnewline
108 & 255.9 & 268.078129467905 & -12.1781294679049 \tabularnewline
109 & 276.2 & 278.742291956933 & -2.54229195693315 \tabularnewline
110 & 360.1 & 296.987569683824 & 63.1124303161756 \tabularnewline
111 & 380.5 & 324.751567783814 & 55.7484322161858 \tabularnewline
112 & 373.7 & 327.552439529848 & 46.1475604701519 \tabularnewline
113 & 369.8 & 329.582031561856 & 40.2179684381439 \tabularnewline
114 & 366.6 & 327.774036724077 & 38.8259632759227 \tabularnewline
115 & 359.3 & 324.912586667141 & 34.3874133328585 \tabularnewline
116 & 345.8 & 322.145195111916 & 23.654804888084 \tabularnewline
117 & 326.2 & 318.907511048138 & 7.29248895186166 \tabularnewline
118 & 324.5 & 316.83615240557 & 7.66384759442967 \tabularnewline
119 & 328.1 & 318.959802939289 & 9.14019706071121 \tabularnewline
120 & 327.5 & 315.740930575853 & 11.7590694241468 \tabularnewline
121 & 324.4 & 312.898292219259 & 11.5017077807406 \tabularnewline
122 & 316.5 & 310.375452768481 & 6.12454723151881 \tabularnewline
123 & 310.9 & 307.64568461394 & 3.25431538606003 \tabularnewline
124 & 301.5 & 305.066410062135 & -3.56641006213545 \tabularnewline
125 & 291.7 & 302.487135510331 & -10.787135510331 \tabularnewline
126 & 290.4 & 300.208848164 & -9.80884816399996 \tabularnewline
127 & 287.4 & 297.892937416985 & -10.4929374169847 \tabularnewline
128 & 277.7 & 295.859202175101 & -18.1592021751009 \tabularnewline
129 & 281.6 & 294.051207337322 & -12.4512073373221 \tabularnewline
130 & 288 & 297.002572686093 & -9.00257268609269 \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 & -22.825852709296 \tabularnewline
136 & 284.5 & 301.316834135146 & -16.8168341351464 \tabularnewline
137 & 282.7 & 300.223683910367 & -17.5236839103672 \tabularnewline
138 & 281.2 & 297.249363651379 & -16.0493636513788 \tabularnewline
139 & 287.4 & 294.613653998548 & -7.21365399854804 \tabularnewline
140 & 283.1 & 292.053191147086 & -8.95319114708557 \tabularnewline
141 & 284 & 289.417481494255 & -5.41748149425484 \tabularnewline
142 & 285.5 & 292.14310643892 & -6.64310643892025 \tabularnewline
143 & 289.2 & 300.436994684845 & -11.2369946848449 \tabularnewline
144 & 292.5 & 297.895343533725 & -5.39534353372459 \tabularnewline
145 & 296.4 & 298.175447433918 & -1.77544743391811 \tabularnewline
146 & 305.2 & 292.623924228063 & 12.5760757719369 \tabularnewline
147 & 303.9 & 291.098104895416 & 12.8018951045843 \tabularnewline
148 & 311.5 & 303.398885314206 & 8.10111468579407 \tabularnewline
149 & 316.3 & 300.368129954191 & 15.9318700458088 \tabularnewline
150 & 316.7 & 302.059111380042 & 14.6408886199584 \tabularnewline
151 & 322.5 & 301.21051325971 & 21.2894867402904 \tabularnewline
152 & 317.1 & 298.537180206195 & 18.5628197938054 \tabularnewline
153 & 309.8 & 295.769788650969 & 14.0302113490308 \tabularnewline
154 & 303.8 & 295.222177736111 & 8.57782226388937 \tabularnewline
155 & 290.3 & 296.329996451356 & -6.02999645135613 \tabularnewline
156 & 293.7 & 293.412111293394 & 0.287888706605987 \tabularnewline
157 & 291.7 & 290.268485731327 & 1.43151426867324 \tabularnewline
158 & 296.5 & 287.030801667549 & 9.46919833245096 \tabularnewline
159 & 289.1 & 290.903940333082 & -1.80394033308204 \tabularnewline
160 & 288.5 & 295.190936406141 & -6.69093640614113 \tabularnewline
161 & 293.8 & 292.160181046126 & 1.63981895387358 \tabularnewline
162 & 297.7 & 289.279919288848 & 8.42008071115153 \tabularnewline
163 & 305.4 & 286.625397935676 & 18.7746020643244 \tabularnewline
164 & 302.7 & 283.952064882161 & 18.7479351178393 \tabularnewline
165 & 302.5 & 295.933046395135 & 6.5669536048647 \tabularnewline
166 & 303 & 294.538908964883 & 8.46109103511739 \tabularnewline
167 & 294.5 & 292.034881214447 & 2.46511878555351 \tabularnewline
168 & 294.1 & 289.380359861274 & 4.71964013872641 \tabularnewline
169 & 294.5 & 287.120884215285 & 7.37911578471533 \tabularnewline
170 & 297.1 & 285.105960673743 & 11.9940393262571 \tabularnewline
171 & 289.4 & 287.587033513961 & 1.8129664860388 \tabularnewline
172 & 292.4 & 294.620537836966 & -2.22053783696568 \tabularnewline
173 & 287.9 & 292.586802595082 & -4.68680259508185 \tabularnewline
174 & 286.6 & 290.553067353198 & -3.95306735319799 \tabularnewline
175 & 280.5 & 288.613390613025 & -8.11339061302464 \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 & -5.83144955884172 \tabularnewline
186 & 262.5 & 270.738299334062 & -8.23829933406247 \tabularnewline
187 & 265.2 & 263.738275201866 & 1.46172479813362 \tabularnewline
188 & 261.3 & 257.584777585064 & 3.7152224149356 \tabularnewline
189 & 253.7 & 256.679744363706 & -2.9797443637061 \tabularnewline
190 & 249.2 & 255.774711142348 & -6.5747111423478 \tabularnewline
191 & 239.1 & 254.907301321674 & -15.8073013216737 \tabularnewline
192 & 236.4 & 254.002268100315 & -17.6022681003153 \tabularnewline
193 & 235.2 & 253.21010508101 & -18.0101050810096 \tabularnewline
194 & 245.2 & 252.455565462388 & -7.255565462388 \tabularnewline
195 & 246.2 & 251.719837544109 & -5.51983754410852 \tabularnewline
196 & 247.7 & 256.778113331193 & -9.07811333119335 \tabularnewline
197 & 251.4 & 257.547321440281 & -6.14732144028119 \tabularnewline
198 & 253.3 & 256.378924414134 & -3.0789244141336 \tabularnewline
199 & 254.8 & 255.586761394828 & -0.786761394827835 \tabularnewline
200 & 250 & 267.605366308487 & -17.6053663084867 \tabularnewline
201 & 249.3 & 266.71914478747 & -17.4191447874705 \tabularnewline
202 & 241.5 & 265.832923266454 & -24.3329232664543 \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 & 276.4156241393 & -23.5156241393004 \tabularnewline
207 & 251.5 & 313.52903730931 & -62.0290373093099 \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 & 72.1800097273338 \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 & 367.234537436945 & 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 & 40.2450286968319 \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 & 20.6396938294777 \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 & 4.26876636051827 \tabularnewline
236 & 339 & 363.583330477444 & -24.5833304774437 \tabularnewline
237 & 333.3 & 367.362410641266 & -34.0624106412663 \tabularnewline
238 & 334.4 & 372.270192825614 & -37.8701928256144 \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 & -53.4162392378011 \tabularnewline
243 & 351.2 & 467.729214037042 & -116.529214037042 \tabularnewline
244 & 389.4 & 449.159994194459 & -59.7599941944589 \tabularnewline
245 & 410.9 & 495.415893730725 & -84.515893730725 \tabularnewline
246 & 442.8 & 495.677185930576 & -52.8771859305764 \tabularnewline
247 & 462.8 & 422.008495786007 & 40.7915042139935 \tabularnewline
248 & 466.9 & 409.571890254946 & 57.3281097450542 \tabularnewline
249 & 461.7 & 400.615449287172 & 61.0845507128278 \tabularnewline
250 & 439.2 & 389.984766988952 & 49.2152330110477 \tabularnewline
251 & 430.3 & 380.783773916731 & 49.5162260832686 \tabularnewline
252 & 416.1 & 394.796419066652 & 21.303580933348 \tabularnewline
253 & 402.5 & 394.530983656925 & 7.96901634307517 \tabularnewline
254 & 397.3 & 407.885219294872 & -10.5852192948722 \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 & 19.8592284184236 \tabularnewline
259 & 377.1 & 360.751551913242 & 16.3484480867576 \tabularnewline
260 & 370.4 & 358.586134768964 & 11.813865231036 \tabularnewline
261 & 362 & 342.895105078721 & 19.1048949212786 \tabularnewline
262 & 350.3 & 339.958408220417 & 10.3415917795829 \tabularnewline
263 & 348.2 & 350.321583503972 & -2.12158350397189 \tabularnewline
264 & 344.6 & 352.501669138717 & -7.90166913871662 \tabularnewline
265 & 343.5 & 350.35506369478 & -6.85506369478026 \tabularnewline
266 & 342.8 & 345.02928089303 & -2.22928089303034 \tabularnewline
267 & 347.6 & 347.378671830854 & 0.221328169146103 \tabularnewline
268 & 346.6 & 344.742962178023 & 1.85703782197686 \tabularnewline
269 & 349.5 & 341.825077020061 & 7.67492297993901 \tabularnewline
270 & 342.1 & 342.086369219912 & 0.0136307800876353 \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 & 313.992381445319 & 30.6076185546815 \tabularnewline
284 & 344.4 & 306.634935006623 & 37.7650649933773 \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 & 5.83021768776385 \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 & 15.9640801225821 \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 & 9.61194608851618 \tabularnewline
302 & 294.6 & 281.371155958995 & 13.2288440410049 \tabularnewline
303 & 285.9 & 291.245227033656 & -5.34522703365556 \tabularnewline
304 & 297.6 & 297.168841036477 & 0.431158963523426 \tabularnewline
305 & 301.1 & 286.143113031073 & 14.9568869689272 \tabularnewline
306 & 293.8 & 281.41930464027 & 12.3806953597302 \tabularnewline
307 & 297.7 & 268.568841701683 & 29.1311582983169 \tabularnewline
308 & 292.9 & 265.255910836537 & 27.6440891634629 \tabularnewline
309 & 292.1 & 275.619086120092 & 16.4809138799082 \tabularnewline
310 & 287.2 & 275.767508117891 & 11.4324918821093 \tabularnewline
311 & 288.2 & 282.236661430632 & 5.96333856936761 \tabularnewline
312 & 283.8 & 268.97234108452 & 14.8276589154804 \tabularnewline
313 & 299.9 & 277.059300626681 & 22.8406993733187 \tabularnewline
314 & 292.4 & 274.611707977271 & 17.7882920227285 \tabularnewline
315 & 293.3 & 268.702762464917 & 24.5972375350833 \tabularnewline
316 & 300.8 & 273.742226551659 & 27.0577734483406 \tabularnewline
317 & 293.7 & 276.731215301114 & 16.9687846988859 \tabularnewline
318 & 293.1 & 270.427224081575 & 22.6727759184246 \tabularnewline
319 & 294.4 & 278.062702815527 & 16.3372971844731 \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 & 4.58613209043188 \tabularnewline
324 & 287.5 & 276.265233258339 & 11.2347667416614 \tabularnewline
325 & 289.2 & 288.415520074392 & 0.784479925607875 \tabularnewline
326 & 285.6 & 289.090669681769 & -3.4906696817695 \tabularnewline
327 & 293.2 & 293.75389976167 & -0.553899761670429 \tabularnewline
328 & 290.8 & 290.083546590025 & 0.716453409975422 \tabularnewline
329 & 283.1 & 293.204217241874 & -10.1042172418739 \tabularnewline
330 & 275 & 303.548580825087 & -28.5485808250866 \tabularnewline
331 & 287.8 & 287.838739434502 & -0.0387394345019337 \tabularnewline
332 & 287.8 & 289.830708065826 & -2.03070806582579 \tabularnewline
333 & 287.4 & 302.771086296247 & -15.3710862962472 \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 & -15.0103399312153 \tabularnewline
343 & 333.4 & 338.304483893422 & -4.90448389342193 \tabularnewline
344 & 348.2 & 338.340035689168 & 9.8599643108318 \tabularnewline
345 & 344.7 & 329.534088324131 & 15.1659116758687 \tabularnewline
346 & 344.7 & 348.061541556154 & -3.36154155615394 \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 & 352.85662079435 & -33.2566207943504 \tabularnewline
357 & 317.3 & 346.025901965233 & -28.7259019652332 \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=185713&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]300.035129673369[/C][C]-45.0351296733693[/C][/ROW]
[ROW][C]2[/C][C]280.2[/C][C]300.183551671168[/C][C]-19.9835516711683[/C][/ROW]
[ROW][C]3[/C][C]299.9[/C][C]299.974551362467[/C][C]-0.0745513624673993[/C][/ROW]
[ROW][C]4[/C][C]339.2[/C][C]299.803174454451[/C][C]39.3968255455494[/C][/ROW]
[ROW][C]5[/C][C]374.2[/C][C]301.21198037517[/C][C]72.9880196248304[/C][/ROW]
[ROW][C]6[/C][C]393.5[/C][C]307.248464580043[/C][C]86.2515354199568[/C][/ROW]
[ROW][C]7[/C][C]389.2[/C][C]307.340451476816[/C][C]81.8595485231843[/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]69.7072383665851[/C][/ROW]
[ROW][C]10[/C][C]369[/C][C]304.493669910346[/C][C]64.5063300896539[/C][/ROW]
[ROW][C]11[/C][C]357.4[/C][C]303.645071790014[/C][C]53.7549282099859[/C][/ROW]
[ROW][C]12[/C][C]352.1[/C][C]302.683603467629[/C][C]49.4163965323705[/C][/ROW]
[ROW][C]13[/C][C]346.5[/C][C]301.421147939771[/C][C]45.0788520602285[/C][/ROW]
[ROW][C]14[/C][C]342.9[/C][C]301.099277429018[/C][C]41.800722570982[/C][/ROW]
[ROW][C]15[/C][C]340.3[/C][C]300.457608012449[/C][C]39.842391987551[/C][/ROW]
[ROW][C]16[/C][C]328.3[/C][C]299.891185397248[/C][C]28.4088146027517[/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]298.8712103689[/C][C]15.4287896311005[/C][/ROW]
[ROW][C]19[/C][C]308.9[/C][C]298.417657955751[/C][C]10.4823420442485[/C][/ROW]
[ROW][C]20[/C][C]294[/C][C]297.945293842261[/C][C]-3.94529384226124[/C][/ROW]
[ROW][C]21[/C][C]285.6[/C][C]296.720461715087[/C][C]-11.1204617150873[/C][/ROW]
[ROW][C]22[/C][C]281.2[/C][C]294.780784974914[/C][C]-13.580784974914[/C][/ROW]
[ROW][C]23[/C][C]280.3[/C][C]293.273777342609[/C][C]-12.9737773426087[/C][/ROW]
[ROW][C]24[/C][C]278.8[/C][C]291.992510114409[/C][C]-13.1925101144086[/C][/ROW]
[ROW][C]25[/C][C]274.5[/C][C]290.805301387919[/C][C]-16.3053013879189[/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]-6.99046330687336[/C][/ROW]
[ROW][C]28[/C][C]259.9[/C][C]269.222066280726[/C][C]-9.32206628072575[/C][/ROW]
[ROW][C]29[/C][C]258[/C][C]271.797197622654[/C][C]-13.7971976226544[/C][/ROW]
[ROW][C]30[/C][C]262.7[/C][C]279.263371053527[/C][C]-16.563371053527[/C][/ROW]
[ROW][C]31[/C][C]284.7[/C][C]282.891957614613[/C][C]1.80804238538712[/C][/ROW]
[ROW][C]32[/C][C]311.3[/C][C]286.783907980488[/C][C]24.516092019512[/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]29.9866702432898[/C][/ROW]
[ROW][C]35[/C][C]331.3[/C][C]299.550837697955[/C][C]31.7491623020453[/C][/ROW]
[ROW][C]36[/C][C]333.3[/C][C]301.128948921753[/C][C]32.1710510782475[/C][/ROW]
[ROW][C]37[/C][C]321.4[/C][C]301.559546424683[/C][C]19.8404535753172[/C][/ROW]
[ROW][C]38[/C][C]327[/C][C]299.845610088615[/C][C]27.1543899113855[/C][/ROW]
[ROW][C]39[/C][C]320[/C][C]298.808894964862[/C][C]21.1911050351385[/C][/ROW]
[ROW][C]40[/C][C]314.7[/C][C]304.243404758788[/C][C]10.4565952412118[/C][/ROW]
[ROW][C]41[/C][C]316.7[/C][C]302.247292917589[/C][C]14.4527070824114[/C][/ROW]
[ROW][C]42[/C][C]314.4[/C][C]300.138310874336[/C][C]14.2616891256636[/C][/ROW]
[ROW][C]43[/C][C]321.3[/C][C]298.89466704682[/C][C]22.4053329531796[/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]11.3569716184743[/C][/ROW]
[ROW][C]46[/C][C]301.3[/C][C]293.903351641352[/C][C]7.39664835864767[/C][/ROW]
[ROW][C]47[/C][C]287.5[/C][C]291.926051500495[/C][C]-4.42605150049479[/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]-22.2436450764841[/C][/ROW]
[ROW][C]50[/C][C]258.8[/C][C]294.929708740416[/C][C]-36.1297087404158[/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]-41.3295508833313[/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]-39.853159019405[/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]-41.4629097479526[/C][/ROW]
[ROW][C]57[/C][C]243.6[/C][C]284.267785112226[/C][C]-40.6677851122265[/C][/ROW]
[ROW][C]58[/C][C]244[/C][C]291.545841539678[/C][C]-47.5458415396781[/C][/ROW]
[ROW][C]59[/C][C]240.8[/C][C]296.265506720605[/C][C]-55.4655067206053[/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]-44.894069149495[/C][/ROW]
[ROW][C]62[/C][C]259.4[/C][C]291.217756214111[/C][C]-31.817756214111[/C][/ROW]
[ROW][C]63[/C][C]260.5[/C][C]297.686909526853[/C][C]-37.1869095268527[/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]-34.4371663439627[/C][/ROW]
[ROW][C]67[/C][C]256.6[/C][C]292.392535310973[/C][C]-35.7925353109732[/C][/ROW]
[ROW][C]68[/C][C]257.9[/C][C]290.4528585708[/C][C]-32.5528585707999[/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]-46.0119878384698[/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]-36.6731769775828[/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]287.353238480131[/C][C]-30.0532384801315[/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]290.17085032157[/C][C]-37.3708503215695[/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]-34.5944767230919[/C][/ROW]
[ROW][C]80[/C][C]252.2[/C][C]282.621143669577[/C][C]-30.4211436695769[/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]-34.8396272570487[/C][/ROW]
[ROW][C]84[/C][C]251.2[/C][C]285.641541004902[/C][C]-34.4415410049021[/C][/ROW]
[ROW][C]85[/C][C]255.6[/C][C]285.169176891412[/C][C]-29.5691768914119[/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]-22.1076479059338[/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]-14.8341204644369[/C][/ROW]
[ROW][C]91[/C][C]267.1[/C][C]276.691482107843[/C][C]-9.59148210784312[/C][/ROW]
[ROW][C]92[/C][C]266.4[/C][C]279.642847456614[/C][C]-13.2428474566137[/C][/ROW]
[ROW][C]93[/C][C]267.7[/C][C]280.807101272885[/C][C]-13.1071012728855[/C][/ROW]
[ROW][C]94[/C][C]268.6[/C][C]278.284261822107[/C][C]-9.68426182210724[/C][/ROW]
[ROW][C]95[/C][C]267.5[/C][C]277.002994593907[/C][C]-9.50299459390712[/C][/ROW]
[ROW][C]96[/C][C]268.5[/C][C]278.599917518047[/C][C]-10.099917518047[/C][/ROW]
[ROW][C]97[/C][C]268.5[/C][C]276.039454666585[/C][C]-7.53945466658463[/C][/ROW]
[ROW][C]98[/C][C]270.5[/C][C]272.914640804859[/C][C]-2.41464080485945[/C][/ROW]
[ROW][C]99[/C][C]270.9[/C][C]275.753135951577[/C][C]-4.85313595157747[/C][/ROW]
[ROW][C]100[/C][C]270.1[/C][C]269.900625540249[/C][C]0.19937445975107[/C][/ROW]
[ROW][C]101[/C][C]269.3[/C][C]264.800583142604[/C][C]4.49941685739588[/C][/ROW]
[ROW][C]102[/C][C]269.8[/C][C]268.109370797874[/C][C]1.69062920212559[/C][/ROW]
[ROW][C]103[/C][C]270.1[/C][C]264.457829326571[/C][C]5.64217067342935[/C][/ROW]
[ROW][C]104[/C][C]264.9[/C][C]261.445885666898[/C][C]3.45411433310191[/C][/ROW]
[ROW][C]105[/C][C]263.7[/C][C]265.018037126958[/C][C]-1.31803712695765[/C][/ROW]
[ROW][C]106[/C][C]264.8[/C][C]261.648671160785[/C][C]3.15132883921473[/C][/ROW]
[ROW][C]107[/C][C]263.7[/C][C]267.96733087079[/C][C]-4.26733087079028[/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]-2.54229195693315[/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]55.7484322161858[/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]38.8259632759227[/C][/ROW]
[ROW][C]115[/C][C]359.3[/C][C]324.912586667141[/C][C]34.3874133328585[/C][/ROW]
[ROW][C]116[/C][C]345.8[/C][C]322.145195111916[/C][C]23.654804888084[/C][/ROW]
[ROW][C]117[/C][C]326.2[/C][C]318.907511048138[/C][C]7.29248895186166[/C][/ROW]
[ROW][C]118[/C][C]324.5[/C][C]316.83615240557[/C][C]7.66384759442967[/C][/ROW]
[ROW][C]119[/C][C]328.1[/C][C]318.959802939289[/C][C]9.14019706071121[/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]11.5017077807406[/C][/ROW]
[ROW][C]122[/C][C]316.5[/C][C]310.375452768481[/C][C]6.12454723151881[/C][/ROW]
[ROW][C]123[/C][C]310.9[/C][C]307.64568461394[/C][C]3.25431538606003[/C][/ROW]
[ROW][C]124[/C][C]301.5[/C][C]305.066410062135[/C][C]-3.56641006213545[/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]-9.80884816399996[/C][/ROW]
[ROW][C]127[/C][C]287.4[/C][C]297.892937416985[/C][C]-10.4929374169847[/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]-12.4512073373221[/C][/ROW]
[ROW][C]130[/C][C]288[/C][C]297.002572686093[/C][C]-9.00257268609269[/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]-22.825852709296[/C][/ROW]
[ROW][C]136[/C][C]284.5[/C][C]301.316834135146[/C][C]-16.8168341351464[/C][/ROW]
[ROW][C]137[/C][C]282.7[/C][C]300.223683910367[/C][C]-17.5236839103672[/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]-7.21365399854804[/C][/ROW]
[ROW][C]140[/C][C]283.1[/C][C]292.053191147086[/C][C]-8.95319114708557[/C][/ROW]
[ROW][C]141[/C][C]284[/C][C]289.417481494255[/C][C]-5.41748149425484[/C][/ROW]
[ROW][C]142[/C][C]285.5[/C][C]292.14310643892[/C][C]-6.64310643892025[/C][/ROW]
[ROW][C]143[/C][C]289.2[/C][C]300.436994684845[/C][C]-11.2369946848449[/C][/ROW]
[ROW][C]144[/C][C]292.5[/C][C]297.895343533725[/C][C]-5.39534353372459[/C][/ROW]
[ROW][C]145[/C][C]296.4[/C][C]298.175447433918[/C][C]-1.77544743391811[/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]12.8018951045843[/C][/ROW]
[ROW][C]148[/C][C]311.5[/C][C]303.398885314206[/C][C]8.10111468579407[/C][/ROW]
[ROW][C]149[/C][C]316.3[/C][C]300.368129954191[/C][C]15.9318700458088[/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]301.21051325971[/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]8.57782226388937[/C][/ROW]
[ROW][C]155[/C][C]290.3[/C][C]296.329996451356[/C][C]-6.02999645135613[/C][/ROW]
[ROW][C]156[/C][C]293.7[/C][C]293.412111293394[/C][C]0.287888706605987[/C][/ROW]
[ROW][C]157[/C][C]291.7[/C][C]290.268485731327[/C][C]1.43151426867324[/C][/ROW]
[ROW][C]158[/C][C]296.5[/C][C]287.030801667549[/C][C]9.46919833245096[/C][/ROW]
[ROW][C]159[/C][C]289.1[/C][C]290.903940333082[/C][C]-1.80394033308204[/C][/ROW]
[ROW][C]160[/C][C]288.5[/C][C]295.190936406141[/C][C]-6.69093640614113[/C][/ROW]
[ROW][C]161[/C][C]293.8[/C][C]292.160181046126[/C][C]1.63981895387358[/C][/ROW]
[ROW][C]162[/C][C]297.7[/C][C]289.279919288848[/C][C]8.42008071115153[/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]6.5669536048647[/C][/ROW]
[ROW][C]166[/C][C]303[/C][C]294.538908964883[/C][C]8.46109103511739[/C][/ROW]
[ROW][C]167[/C][C]294.5[/C][C]292.034881214447[/C][C]2.46511878555351[/C][/ROW]
[ROW][C]168[/C][C]294.1[/C][C]289.380359861274[/C][C]4.71964013872641[/C][/ROW]
[ROW][C]169[/C][C]294.5[/C][C]287.120884215285[/C][C]7.37911578471533[/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]1.8129664860388[/C][/ROW]
[ROW][C]172[/C][C]292.4[/C][C]294.620537836966[/C][C]-2.22053783696568[/C][/ROW]
[ROW][C]173[/C][C]287.9[/C][C]292.586802595082[/C][C]-4.68680259508185[/C][/ROW]
[ROW][C]174[/C][C]286.6[/C][C]290.553067353198[/C][C]-3.95306735319799[/C][/ROW]
[ROW][C]175[/C][C]280.5[/C][C]288.613390613025[/C][C]-8.11339061302464[/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]-5.83144955884172[/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]1.46172479813362[/C][/ROW]
[ROW][C]188[/C][C]261.3[/C][C]257.584777585064[/C][C]3.7152224149356[/C][/ROW]
[ROW][C]189[/C][C]253.7[/C][C]256.679744363706[/C][C]-2.9797443637061[/C][/ROW]
[ROW][C]190[/C][C]249.2[/C][C]255.774711142348[/C][C]-6.5747111423478[/C][/ROW]
[ROW][C]191[/C][C]239.1[/C][C]254.907301321674[/C][C]-15.8073013216737[/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]253.21010508101[/C][C]-18.0101050810096[/C][/ROW]
[ROW][C]194[/C][C]245.2[/C][C]252.455565462388[/C][C]-7.255565462388[/C][/ROW]
[ROW][C]195[/C][C]246.2[/C][C]251.719837544109[/C][C]-5.51983754410852[/C][/ROW]
[ROW][C]196[/C][C]247.7[/C][C]256.778113331193[/C][C]-9.07811333119335[/C][/ROW]
[ROW][C]197[/C][C]251.4[/C][C]257.547321440281[/C][C]-6.14732144028119[/C][/ROW]
[ROW][C]198[/C][C]253.3[/C][C]256.378924414134[/C][C]-3.0789244141336[/C][/ROW]
[ROW][C]199[/C][C]254.8[/C][C]255.586761394828[/C][C]-0.786761394827835[/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]266.71914478747[/C][C]-17.4191447874705[/C][/ROW]
[ROW][C]202[/C][C]241.5[/C][C]265.832923266454[/C][C]-24.3329232664543[/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]276.4156241393[/C][C]-23.5156241393004[/C][/ROW]
[ROW][C]207[/C][C]251.5[/C][C]313.52903730931[/C][C]-62.0290373093099[/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]72.1800097273338[/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]367.234537436945[/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]40.2450286968319[/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]20.6396938294777[/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]4.26876636051827[/C][/ROW]
[ROW][C]236[/C][C]339[/C][C]363.583330477444[/C][C]-24.5833304774437[/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]-37.8701928256144[/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]-53.4162392378011[/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]-84.515893730725[/C][/ROW]
[ROW][C]246[/C][C]442.8[/C][C]495.677185930576[/C][C]-52.8771859305764[/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]57.3281097450542[/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]49.5162260832686[/C][/ROW]
[ROW][C]252[/C][C]416.1[/C][C]394.796419066652[/C][C]21.303580933348[/C][/ROW]
[ROW][C]253[/C][C]402.5[/C][C]394.530983656925[/C][C]7.96901634307517[/C][/ROW]
[ROW][C]254[/C][C]397.3[/C][C]407.885219294872[/C][C]-10.5852192948722[/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]19.8592284184236[/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]11.813865231036[/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]-2.12158350397189[/C][/ROW]
[ROW][C]264[/C][C]344.6[/C][C]352.501669138717[/C][C]-7.90166913871662[/C][/ROW]
[ROW][C]265[/C][C]343.5[/C][C]350.35506369478[/C][C]-6.85506369478026[/C][/ROW]
[ROW][C]266[/C][C]342.8[/C][C]345.02928089303[/C][C]-2.22928089303034[/C][/ROW]
[ROW][C]267[/C][C]347.6[/C][C]347.378671830854[/C][C]0.221328169146103[/C][/ROW]
[ROW][C]268[/C][C]346.6[/C][C]344.742962178023[/C][C]1.85703782197686[/C][/ROW]
[ROW][C]269[/C][C]349.5[/C][C]341.825077020061[/C][C]7.67492297993901[/C][/ROW]
[ROW][C]270[/C][C]342.1[/C][C]342.086369219912[/C][C]0.0136307800876353[/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]313.992381445319[/C][C]30.6076185546815[/C][/ROW]
[ROW][C]284[/C][C]344.4[/C][C]306.634935006623[/C][C]37.7650649933773[/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]5.83021768776385[/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]15.9640801225821[/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]9.61194608851618[/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]-5.34522703365556[/C][/ROW]
[ROW][C]304[/C][C]297.6[/C][C]297.168841036477[/C][C]0.431158963523426[/C][/ROW]
[ROW][C]305[/C][C]301.1[/C][C]286.143113031073[/C][C]14.9568869689272[/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]27.6440891634629[/C][/ROW]
[ROW][C]309[/C][C]292.1[/C][C]275.619086120092[/C][C]16.4809138799082[/C][/ROW]
[ROW][C]310[/C][C]287.2[/C][C]275.767508117891[/C][C]11.4324918821093[/C][/ROW]
[ROW][C]311[/C][C]288.2[/C][C]282.236661430632[/C][C]5.96333856936761[/C][/ROW]
[ROW][C]312[/C][C]283.8[/C][C]268.97234108452[/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]17.7882920227285[/C][/ROW]
[ROW][C]315[/C][C]293.3[/C][C]268.702762464917[/C][C]24.5972375350833[/C][/ROW]
[ROW][C]316[/C][C]300.8[/C][C]273.742226551659[/C][C]27.0577734483406[/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]22.6727759184246[/C][/ROW]
[ROW][C]319[/C][C]294.4[/C][C]278.062702815527[/C][C]16.3372971844731[/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]4.58613209043188[/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]0.784479925607875[/C][/ROW]
[ROW][C]326[/C][C]285.6[/C][C]289.090669681769[/C][C]-3.4906696817695[/C][/ROW]
[ROW][C]327[/C][C]293.2[/C][C]293.75389976167[/C][C]-0.553899761670429[/C][/ROW]
[ROW][C]328[/C][C]290.8[/C][C]290.083546590025[/C][C]0.716453409975422[/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]-0.0387394345019337[/C][/ROW]
[ROW][C]332[/C][C]287.8[/C][C]289.830708065826[/C][C]-2.03070806582579[/C][/ROW]
[ROW][C]333[/C][C]287.4[/C][C]302.771086296247[/C][C]-15.3710862962472[/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]-15.0103399312153[/C][/ROW]
[ROW][C]343[/C][C]333.4[/C][C]338.304483893422[/C][C]-4.90448389342193[/C][/ROW]
[ROW][C]344[/C][C]348.2[/C][C]338.340035689168[/C][C]9.8599643108318[/C][/ROW]
[ROW][C]345[/C][C]344.7[/C][C]329.534088324131[/C][C]15.1659116758687[/C][/ROW]
[ROW][C]346[/C][C]344.7[/C][C]348.061541556154[/C][C]-3.36154155615394[/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]352.85662079435[/C][C]-33.2566207943504[/C][/ROW]
[ROW][C]357[/C][C]317.3[/C][C]346.025901965233[/C][C]-28.7259019652332[/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=185713&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=185713&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
1255300.035129673369-45.0351296733693
2280.2300.183551671168-19.9835516711683
3299.9299.974551362467-0.0745513624673993
4339.2299.80317445445139.3968255455494
5374.2301.2119803751772.9880196248304
6393.5307.24846458004386.2515354199568
7389.2307.34045147681681.8595485231843
8381.7306.75521716127374.944782838727
9375.2305.49276163341569.7072383665851
10369304.49366991034664.5063300896539
11357.4303.64507179001453.7549282099859
12352.1302.68360346762949.4163965323705
13346.5301.42114793977145.0788520602285
14342.9301.09927742901841.800722570982
15340.3300.45760801244939.842391987551
16328.3299.89118539724828.4088146027517
17322.9299.36238618273223.5376138172681
18314.3298.871210368915.4287896311005
19308.9298.41765795575110.4823420442485
20294297.945293842261-3.94529384226124
21285.6296.720461715087-11.1204617150873
22281.2294.780784974914-13.580784974914
23280.3293.273777342609-12.9737773426087
24278.8291.992510114409-13.1925101144086
25274.5290.805301387919-16.3053013879189
26270.4287.906227930299-17.5062279302989
27263.4270.390463306873-6.99046330687336
28259.9269.222066280726-9.32206628072575
29258271.797197622654-13.7971976226544
30262.7279.263371053527-16.563371053527
31284.7282.8919576146131.80804238538712
32311.3286.78390798048824.516092019512
33322.1294.04315270759828.0568472924024
34327297.0133297567129.9866702432898
35331.3299.55083769795531.7491623020453
36333.3301.12894892175332.1710510782475
37321.4301.55954642468319.8404535753172
38327299.84561008861527.1543899113855
39320298.80889496486221.1911050351385
40314.7304.24340475878810.4565952412118
41316.7302.24729291758914.4527070824114
42314.4300.13831087433614.2616891256636
43321.3298.8946670468222.4053329531796
44318.2297.38765941451520.8123405854848
45307.2295.84302838152611.3569716184743
46301.3293.9033516413527.39664835864767
47287.5291.926051500495-4.42605150049479
48277.7297.322937893737-19.6229378937373
49274.4296.643645076484-22.2436450764841
50258.8294.929708740416-36.1297087404158
51253.3293.535571310163-40.2355713101631
52251292.329550883331-41.3295508833313
53248.4291.010660254447-42.610660254447
54249.5289.353159019405-39.853159019405
55246.1287.714469484705-41.6144694847051
56244.5285.962909747953-41.4629097479526
57243.6284.267785112226-40.6677851122265
58244291.545841539678-47.5458415396781
59240.8296.265506720605-55.4655067206053
60249.8294.927804391379-45.1278043913789
61248292.894069149495-44.894069149495
62259.4291.217756214111-31.817756214111
63260.5297.686909526853-37.1869095268527
64260.8297.722461322599-36.922461322599
65261.3295.895654784478-34.5956547844782
66259.5293.937166343963-34.4371663439627
67256.6292.392535310973-35.7925353109732
68257.9290.4528585708-32.5528585707999
69256.5288.851792436784-32.3517924367842
70254.2300.21198783847-46.0119878384698
71253.3297.237667579481-43.9376675794814
72253.8294.376217522546-40.5762175225455
73255.5292.173176977583-36.6731769775828
74257.1289.951324732278-32.8513247322781
75257.3287.353238480131-30.0532384801315
76253.2290.680837835744-37.4808378357439
77252.8290.17085032157-37.3708503215695
78252287.704445971818-35.7044459718176
79250.7285.294476723092-34.5944767230919
80252.2282.621143669577-30.4211436695769
81250287.66060775632-37.6606077563197
82251288.787238171907-37.7872381719073
83253.4288.239627257049-34.8396272570487
84251.2285.641541004902-34.4415410049021
85255.6285.169176891412-29.5691768914119
86261.1282.627525740292-21.5275257402916
87258.9281.007647905934-22.1076479059338
88259.9281.099634802706-21.1996348027064
89261.2280.608458988874-19.4084589888741
90264.7279.534120464437-14.8341204644369
91267.1276.691482107843-9.59148210784312
92266.4279.642847456614-13.2428474566137
93267.7280.807101272885-13.1071012728855
94268.6278.284261822107-9.68426182210724
95267.5277.002994593907-9.50299459390712
96268.5278.599917518047-10.099917518047
97268.5276.039454666585-7.53945466658463
98270.5272.914640804859-2.41464080485945
99270.9275.753135951577-4.85313595157747
100270.1269.9006255402490.19937445975107
101269.3264.8005831426044.49941685739588
102269.8268.1093707978741.69062920212559
103270.1264.4578293265715.64217067342935
104264.9261.4458856668983.45411433310191
105263.7265.018037126958-1.31803712695765
106264.8261.6486711607853.15132883921473
107263.7267.96733087079-4.26733087079028
108255.9268.078129467905-12.1781294679049
109276.2278.742291956933-2.54229195693315
110360.1296.98756968382463.1124303161756
111380.5324.75156778381455.7484322161858
112373.7327.55243952984846.1475604701519
113369.8329.58203156185640.2179684381439
114366.6327.77403672407738.8259632759227
115359.3324.91258666714134.3874133328585
116345.8322.14519511191623.654804888084
117326.2318.9075110481387.29248895186166
118324.5316.836152405577.66384759442967
119328.1318.9598029392899.14019706071121
120327.5315.74093057585311.7590694241468
121324.4312.89829221925911.5017077807406
122316.5310.3754527684816.12454723151881
123310.9307.645684613943.25431538606003
124301.5305.066410062135-3.56641006213545
125291.7302.487135510331-10.787135510331
126290.4300.208848164-9.80884816399996
127287.4297.892937416985-10.4929374169847
128277.7295.859202175101-18.1592021751009
129281.6294.051207337322-12.4512073373221
130288297.002572686093-9.00257268609269
131276300.254925240337-24.2549252403367
132272.9298.540988904268-25.6409889042685
133283298.915151306172-15.9151513061724
134283.3302.675419769653-19.3754197696529
135276.8299.625852709296-22.825852709296
136284.5301.316834135146-16.8168341351464
137282.7300.223683910367-17.5236839103672
138281.2297.249363651379-16.0493636513788
139287.4294.613653998548-7.21365399854804
140283.1292.053191147086-8.95319114708557
141284289.417481494255-5.41748149425484
142285.5292.14310643892-6.64310643892025
143289.2300.436994684845-11.2369946848449
144292.5297.895343533725-5.39534353372459
145296.4298.175447433918-1.77544743391811
146305.2292.62392422806312.5760757719369
147303.9291.09810489541612.8018951045843
148311.5303.3988853142068.10111468579407
149316.3300.36812995419115.9318700458088
150316.7302.05911138004214.6408886199584
151322.5301.2105132597121.2894867402904
152317.1298.53718020619518.5628197938054
153309.8295.76978865096914.0302113490308
154303.8295.2221777361118.57782226388937
155290.3296.329996451356-6.02999645135613
156293.7293.4121112933940.287888706605987
157291.7290.2684857313271.43151426867324
158296.5287.0308016675499.46919833245096
159289.1290.903940333082-1.80394033308204
160288.5295.190936406141-6.69093640614113
161293.8292.1601810461261.63981895387358
162297.7289.2799192888488.42008071115153
163305.4286.62539793567618.7746020643244
164302.7283.95206488216118.7479351178393
165302.5295.9330463951356.5669536048647
166303294.5389089648838.46109103511739
167294.5292.0348812144472.46511878555351
168294.1289.3803598612744.71964013872641
169294.5287.1208842152857.37911578471533
170297.1285.10596067374311.9940393262571
171289.4287.5870335139611.8129664860388
172292.4294.620537836966-2.22053783696568
173287.9292.586802595082-4.68680259508185
174286.6290.553067353198-3.95306735319799
175280.5288.613390613025-8.11339061302464
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
185266271.831449558842-5.83144955884172
186262.5270.738299334062-8.23829933406247
187265.2263.7382752018661.46172479813362
188261.3257.5847775850643.7152224149356
189253.7256.679744363706-2.9797443637061
190249.2255.774711142348-6.5747111423478
191239.1254.907301321674-15.8073013216737
192236.4254.002268100315-17.6022681003153
193235.2253.21010508101-18.0101050810096
194245.2252.455565462388-7.255565462388
195246.2251.719837544109-5.51983754410852
196247.7256.778113331193-9.07811333119335
197251.4257.547321440281-6.14732144028119
198253.3256.378924414134-3.0789244141336
199254.8255.586761394828-0.786761394827835
200250267.605366308487-17.6053663084867
201249.3266.71914478747-17.4191447874705
202241.5265.832923266454-24.3329232664543
203243.3265.454617654675-22.1546176546745
204248264.116915325448-16.1169153254481
205253263.381187407169-10.3811874071686
206252.9276.4156241393-23.5156241393004
207251.5313.52903730931-62.0290373093099
208251.6311.476490367084-59.876490367084
209253.5310.044729536147-56.5447295361471
210259.8311.999074766787-52.1990747667868
211334.1309.73959912079824.3604008792022
212448346.758953789097101.241046210903
213445.8373.61999027266672.1800097273338
214445378.67826605975166.3217339402489
215448.2378.31877214831369.8812278516865
216438.2370.79202040653967.4079795934612
217439.8367.23453743694572.5654625630545
218423.4365.68990640395657.7100935960439
219410.8361.925494730648.8745052694002
220408.4360.60660410171547.7933958982845
221406.7366.45497130316840.2450286968319
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
231355334.36030617052220.6396938294777
232352.7328.97808826774623.7219117322538
233344.4330.53738779120213.8626122087981
234343.8328.50365254931815.2963474506819
235338333.7312336394824.26876636051827
236339363.583330477444-24.5833304774437
237333.3367.362410641266-34.0624106412663
238334.4372.270192825614-37.8701928256144
239328.3372.493861624782-44.1938616247816
240330.7358.044404157117-27.3444041571171
241330349.14439829037-19.1443982903697
242331.6385.016239237801-53.4162392378011
243351.2467.729214037042-116.529214037042
244389.4449.159994194459-59.7599941944589
245410.9495.415893730725-84.515893730725
246442.8495.677185930576-52.8771859305764
247462.8422.00849578600740.7915042139935
248466.9409.57189025494657.3281097450542
249461.7400.61544928717261.0845507128278
250439.2389.98476698895249.2152330110477
251430.3380.78377391673149.5162260832686
252416.1394.79641906665221.303580933348
253402.5394.5309836569257.96901634307517
254397.3407.885219294872-10.5852192948722
255403.3379.70322057748123.5967794225194
256395.9383.01200823275112.8879917672491
257387.8361.54578653748626.2542134625139
258378.6358.74077158157619.8592284184236
259377.1360.75155191324216.3484480867576
260370.4358.58613476896411.813865231036
261362342.89510507872119.1048949212786
262350.3339.95840822041710.3415917795829
263348.2350.321583503972-2.12158350397189
264344.6352.501669138717-7.90166913871662
265343.5350.35506369478-6.85506369478026
266342.8345.02928089303-2.22928089303034
267347.6347.3786718308540.221328169146103
268346.6344.7429621780231.85703782197686
269349.5341.8250770200617.67492297993901
270342.1342.0863692199120.0136307800876353
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
283344.6313.99238144531930.6076185546815
284344.4306.63493500662337.7650649933773
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
293309.7303.8697823122365.83021768776385
294315.6283.96493174536531.6350682546351
295309.7283.37969742982226.3203025701778
296304.6284.69444484883119.9055551511693
297302.5286.53591987741815.9640801225821
298301.5275.66068547475125.8393145252492
299298.8281.43380587483517.3661941251649
300291.3279.83273974081911.4672602591806
301293.6283.9880539114849.61194608851618
302294.6281.37115595899513.2288440410049
303285.9291.245227033656-5.34522703365556
304297.6297.1688410364770.431158963523426
305301.1286.14311303107314.9568869689272
306293.8281.4193046402712.3806953597302
307297.7268.56884170168329.1311582983169
308292.9265.25591083653727.6440891634629
309292.1275.61908612009216.4809138799082
310287.2275.76750811789111.4324918821093
311288.2282.2366614306325.96333856936761
312283.8268.9723410845214.8276589154804
313299.9277.05930062668122.8406993733187
314292.4274.61170797727117.7882920227285
315293.3268.70276246491724.5972375350833
316300.8273.74222655165927.0577734483406
317293.7276.73121530111416.9687846988859
318293.1270.42722408157522.6727759184246
319294.4278.06270281552716.3372971844731
320292.1272.69929661309319.4007033869073
321291.9273.7318685269718.1681314730301
322282.5271.60407478337610.8959252166244
323277.9273.3138679095684.58613209043188
324287.5276.26523325833911.2347667416614
325289.2288.4155200743920.784479925607875
326285.6289.090669681769-3.4906696817695
327293.2293.75389976167-0.553899761670429
328290.8290.0835465900250.716453409975422
329283.1293.204217241874-10.1042172418739
330275303.548580825087-28.5485808250866
331287.8287.838739434502-0.0387394345019337
332287.8289.830708065826-2.03070806582579
333287.4302.771086296247-15.3710862962472
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
342341.6356.610339931215-15.0103399312153
343333.4338.304483893422-4.90448389342193
344348.2338.3400356891689.8599643108318
345344.7329.53408832413115.1659116758687
346344.7348.061541556154-3.36154155615394
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
356319.6352.85662079435-33.2566207943504
357317.3346.025901965233-28.7259019652332
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
60.01690540382644740.03381080765289480.983094596173553
70.06297081618662020.125941632373240.93702918381338
80.2468436518233990.4936873036467980.753156348176601
90.4251576974312170.8503153948624340.574842302568783
100.4677697141539980.9355394283079950.532230285846002
110.4610604074917320.9221208149834650.538939592508268
120.4003731797868990.8007463595737970.599626820213101
130.3211749075347320.6423498150694640.678825092465268
140.2523575018355230.5047150036710470.747642498164477
150.1908318487250840.3816636974501690.809168151274916
160.1470318482370290.2940636964740590.85296815176297
170.1102823192582640.2205646385165280.889717680741736
180.0838173456341060.1676346912682120.916182654365894
190.06230529238501490.124610584770030.937694707614985
200.05352937837540510.107058756750810.946470621624595
210.03909306240521170.07818612481042340.960906937594788
220.0260383838072330.0520767676144660.973961616192767
230.02077027735125250.04154055470250490.979229722648748
240.01945762723973510.03891525447947020.980542372760265
250.01847463327530530.03694926655061050.981525366724695
260.03091498465702250.06182996931404490.969085015342978
270.5894766904059470.8210466191881070.410523309594053
280.661703455467990.6765930890640190.33829654453201
290.6360117912398320.7279764175203360.363988208760168
300.5817763353056860.8364473293886280.418223664694314
310.5362036206834420.9275927586331170.463796379316558
320.5235085437677290.9529829124645420.476491456232271
330.4822019159035770.9644038318071530.517798084096423
340.4372929785073270.8745859570146530.562707021492673
350.3938151971873380.7876303943746750.606184802812662
360.3531914220119230.7063828440238460.646808577988077
370.3210498627125570.6420997254251140.678950137287443
380.2828687274311080.5657374548622160.717131272568892
390.2467918649998910.4935837299997810.753208135000109
400.2364208240892260.4728416481784520.763579175910774
410.2092724786555330.4185449573110660.790727521344467
420.1799861188554330.3599722377108670.820013881144567
430.1538561212275580.3077122424551160.846143878772442
440.1306163081866990.2612326163733970.869383691813301
450.1082074747502860.2164149495005710.891792525249714
460.08844054408943270.1768810881788650.911559455910567
470.07258518808909940.1451703761781990.927414811910901
480.07767041738037090.1553408347607420.922329582619629
490.08022848965331060.1604569793066210.919771510346689
500.09512700876469210.1902540175293840.904872991235308
510.1081913449750570.2163826899501140.891808655024943
520.1145327487252150.229065497450430.885467251274785
530.1151221761952490.2302443523904970.884877823804751
540.1058383314951450.211676662990290.894161668504855
550.09503814210566940.1900762842113390.904961857894331
560.0824799311766130.1649598623532260.917520068823387
570.06972928771882360.1394585754376470.930270712281176
580.06812850765537980.136257015310760.93187149234462
590.08235956115583810.1647191223116760.917640438844162
600.07805787675910880.1561157535182180.921942123240891
610.07045847595820890.1409169519164180.929541524041791
620.0586400263954640.1172800527909280.941359973604536
630.05087365721656020.101747314433120.94912634278344
640.04347813208863370.08695626417726730.956521867911366
650.03597082210959120.07194164421918250.964029177890409
660.02956292122553180.05912584245106370.970437078774468
670.0243595868653380.0487191737306760.975640413134662
680.02045144859257720.04090289718515430.979548551407423
690.01754680888176150.03509361776352290.982453191118238
700.01621571643937750.0324314328787550.983784283560623
710.01391084193243770.02782168386487550.986089158067562
720.01154749907813350.02309499815626710.988452500921866
730.009717578036593650.01943515607318730.990282421963406
740.008650691008994390.01730138201798880.991349308991006
750.008408994682119230.01681798936423850.991591005317881
760.007236807577222330.01447361515444470.992763192422778
770.006306092870514210.01261218574102840.993693907129486
780.005824960579065690.01164992115813140.994175039420934
790.005756685737223460.01151337147444690.994243314262777
800.006463291807137360.01292658361427470.993536708192863
810.005907362662143430.01181472532428690.994092637337857
820.005338944785341190.01067788957068240.994661055214659
830.004991994023220970.009983988046441940.995008005976779
840.004957355007152750.009914710014305490.995042644992847
850.005284794241173290.01056958848234660.994715205758827
860.006912274930053210.01382454986010640.993087725069947
870.008990870507211910.01798174101442380.991009129492788
880.01135695668567540.02271391337135070.988643043314325
890.01442553592003670.02885107184007340.985574464079963
900.01959075838762520.03918151677525040.980409241612375
910.02953027269474670.05906054538949340.970469727305253
920.03636720393957620.07273440787915230.963632796060424
930.04256462665645610.08512925331291220.957435373343544
940.05263773082402580.1052754616480520.947362269175974
950.06369479382526740.1273895876505350.936305206174733
960.07263100220478030.1452620044095610.92736899779522
970.08522791564789780.1704558312957960.914772084352102
980.1055337189599270.2110674379198550.894466281040073
990.1192450008119630.2384900016239250.880754999188037
1000.1425373567079930.2850747134159870.857462643292007
1010.1727187075066140.3454374150132270.827281292493386
1020.1916550700522280.3833101401044570.808344929947772
1030.2137961974662230.4275923949324460.786203802533777
1040.225973361693990.451946723387980.77402663830601
1050.2277158961499890.4554317922999780.772284103850011
1060.2314740498542350.4629480997084690.768525950145765
1070.2265662418055180.4531324836110350.773433758194482
1080.2150990176931090.4301980353862180.784900982306891
1090.2165613551010230.4331227102020450.783438644898977
1100.4657678955508850.931535791101770.534232104449115
1110.6049058448873530.7901883102252950.395094155112647
1120.642437788704460.7151244225910790.35756221129554
1130.6458299813900680.7083400372198640.354170018609932
1140.6421693418938490.7156613162123020.357830658106151
1150.6305062992399930.7389874015200140.369493700760007
1160.6063261736811760.7873476526376480.393673826318824
1170.5756530454464420.8486939091071160.424346954553558
1180.5442038096649390.9115923806701210.455796190335061
1190.5127473526378150.974505294724370.487252647362185
1200.4819897095996050.963979419199210.518010290400395
1210.4518671748564270.9037343497128540.548132825143573
1220.4206838901686470.8413677803372930.579316109831353
1230.3899022931475670.7798045862951340.610097706852433
1240.3603118741699730.7206237483399470.639688125830027
1250.3341529334616470.6683058669232930.665847066538353
1260.3079935830087480.6159871660174970.692006416991252
1270.2830094509155220.5660189018310440.716990549084478
1280.2629601426106310.5259202852212630.737039857389369
1290.2408890338792430.4817780677584860.759110966120757
1300.2189584994101440.4379169988202870.781041500589857
1310.2084560456162690.4169120912325380.791543954383731
1320.198943355141920.3978867102838390.80105664485808
1330.1823228046514780.3646456093029560.817677195348522
1340.1696547519914160.3393095039828320.830345248008584
1350.1594159195588830.3188318391177660.840584080441117
1360.1461087726921460.2922175453842930.853891227307854
1370.1339050880739530.2678101761479050.866094911926047
1380.1217660290414030.2435320580828060.878233970958597
1390.1094621193522320.2189242387044650.890537880647768
1400.09863071953122160.1972614390624430.901369280468778
1410.08956103758572650.1791220751714530.910438962414273
1420.08033933501659690.1606786700331940.919660664983403
1430.07136740441421280.1427348088284260.928632595585787
1440.06291778518720320.1258355703744060.937082214812797
1450.05536715995476280.1107343199095260.944632840045237
1460.05309530910901750.1061906182180350.946904690890983
1470.05122634844805940.1024526968961190.948773651551941
1480.04491122355308310.08982244710616620.955088776446917
1490.04143813821683820.08287627643367650.958561861783162
1500.03737190579979080.07474381159958160.962628094200209
1510.03546592573077490.07093185146154970.964534074269225
1520.03327632370870760.06655264741741510.966723676291292
1530.03051050184743480.06102100369486950.969489498152565
1540.02700127494663620.05400254989327240.972998725053364
1550.02307118407476270.04614236814952530.976928815925237
1560.01982341413363280.03964682826726550.980176585866367
1570.01723385287271590.03446770574543180.982766147127284
1580.01588196330405970.03176392660811930.98411803669594
1590.01355254278800790.02710508557601570.986447457211992
1600.01143133305520440.02286266611040870.988568666944796
1610.009710831532906650.01942166306581330.990289168467093
1620.008607083817234460.01721416763446890.991392916182766
1630.008538615384177390.01707723076835480.991461384615823
1640.008596816096384340.01719363219276870.991403183903616
1650.007181816389315370.01436363277863070.992818183610685
1660.006051384323853230.01210276864770650.993948615676147
1670.00502049526193660.01004099052387320.994979504738063
1680.004223793292463370.008447586584926730.995776206707537
1690.00362877709441720.007257554188834390.996371222905583
1700.003253381658807530.006506763317615060.996746618341192
1710.002690792523029640.005381585046059280.99730920747697
1720.00216850043622730.00433700087245460.997831499563773
1730.001754449545410320.003508899090820640.99824555045459
1740.001417464683897170.002834929367794330.998582535316103
1750.001158046067895430.002316092135790860.998841953932105
1760.0009765710405940840.001953142081188170.999023428959406
1770.0008285342871381710.001657068574276340.999171465712862
1780.000716623379743810.001433246759487620.999283376620256
1790.000635681039612060.001271362079224120.999364318960388
1800.0005817468826399670.001163493765279930.99941825311736
1810.0005137546707189360.001027509341437870.999486245329281
1820.0004421250443457810.0008842500886915630.999557874955654
1830.0003894575866167420.0007789151732334840.999610542413383
1840.0003468824052612390.0006937648105224780.999653117594739
1850.0003098284466743690.0006196568933487370.999690171553326
1860.0002788433540119140.0005576867080238270.999721156645988
1870.0002742142745082480.0005484285490164950.999725785725492
1880.0002889612309653230.0005779224619306450.999711038769035
1890.0002873883203318610.0005747766406637220.999712611679668
1900.0002829495398554550.000565899079710910.999717050460145
1910.0002873828008518590.0005747656017037180.999712617199148
1920.0003022593744705220.0006045187489410440.99969774062553
1930.0003279846570834910.0006559693141669810.999672015342916
1940.0003446989610852090.0006893979221704190.999655301038915
1950.0003663046202003270.0007326092404006530.9996336953798
1960.000386531521832710.000773063043665420.999613468478167
1970.0004074943277706440.0008149886555412870.999592505672229
1980.0004351586025122020.0008703172050244050.999564841397488
1990.000471656355841570.0009433127116831410.999528343644158
2000.0005833515900676420.001166703180135280.999416648409932
2010.000758094570491290.001516189140982580.999241905429509
2020.001206118931102080.002412237862204150.998793881068898
2030.001969697661141460.003939395322282910.998030302338859
2040.003090104119687980.006180208239375950.996909895880312
2050.004737943642410460.009475887284820930.99526205635759
2060.00937937103208470.01875874206416940.990620628967915
2070.05913467979894390.1182693595978880.940865320201056
2080.2309789186438210.4619578372876420.769021081356179
2090.5553727712495630.8892544575008750.444627228750438
2100.8545053701534570.2909892596930860.145494629846543
2110.8682073909318550.263585218136290.131792609068145
2120.9470871185127660.1058257629744670.0529128814872337
2130.958896522346490.08220695530702030.0411034776535101
2140.9654941977410670.06901160451786490.0345058022589325
2150.9738748569850290.05225028602994230.0261251430149712
2160.9790901141846450.04181977163071090.0209098858153555
2170.9855596941176520.02888061176469670.0144403058823484
2180.9865591582586230.02688168348275410.013440841741377
2190.9857086382185080.02858272356298390.014291361781492
2200.9847284171184780.03054316576304450.0152715828815223
2210.9831642004454780.03367159910904330.0168357995545216
2220.9820197102054550.03596057958908960.0179802897945448
2230.9808209839719990.03835803205600150.0191790160280008
2240.9818909426259230.03621811474815480.0181090573740774
2250.9821696357690730.0356607284618530.0178303642309265
2260.9804799461350540.03904010772989230.0195200538649461
2270.9776601867083420.04467962658331650.0223398132916583
2280.9736233295088680.0527533409822650.0263766704911325
2290.9684056887709230.06318862245815330.0315943112290766
2300.9624076451622870.07518470967542620.0375923548377131
2310.955840448092260.08831910381548030.0441595519077402
2320.9480763183279530.1038473633440930.0519236816720466
2330.9416792892155910.1166414215688180.0583207107844091
2340.9342270734731570.1315458530536860.065772926526843
2350.9324073427432830.1351853145134340.067592657256717
2360.9593511385581360.08129772288372810.0406488614418641
2370.9824412812101630.03511743757967330.0175587187898367
2380.9939297227339080.01214055453218440.00607027726609219
2390.9986558719508570.002688256098286020.00134412804914301
2400.999455658422720.001088683154559060.00054434157727953
2410.9997283843750270.000543231249946220.00027161562497311
2420.9999795626836714.08746326575911e-052.04373163287956e-05
2430.9999999988622642.27547137482008e-091.13773568741004e-09
2440.999999999942771.14459058666848e-105.72295293334241e-11
2450.9999999999997345.31491485492499e-132.6574574274625e-13
2460.9999999999999481.03286188487573e-135.16430942437864e-14
2470.9999999999999784.40190606597391e-142.20095303298695e-14
2480.9999999999999992.36051198037992e-151.18025599018996e-15
24913.75838125386547e-171.87919062693274e-17
25013.19459164802967e-181.59729582401483e-18
25112.20149388536651e-191.10074694268326e-19
25212.03653149227818e-191.01826574613909e-19
25313.99344484812625e-191.99672242406312e-19
25418.58406383952805e-194.29203191976403e-19
25518.11729968940604e-194.05864984470302e-19
25611.32678453559517e-186.63392267797583e-19
25711.43283441754058e-187.16417208770291e-19
25812.37910042201572e-181.18955021100786e-18
25914.27003021095118e-182.13501510547559e-18
26019.1015492482975e-184.55077462414875e-18
26111.83165382334786e-179.15826911673931e-18
26214.21577156212669e-172.10788578106334e-17
26318.21194502720935e-174.10597251360467e-17
26411.24402878925108e-166.22014394625539e-17
26511.84419998042297e-169.22099990211483e-17
26613.04536804962816e-161.52268402481408e-16
26715.80447364964528e-162.90223682482264e-16
2680.9999999999999991.11688858205393e-155.58444291026965e-16
2690.9999999999999992.41933361784652e-151.20966680892326e-15
2700.9999999999999984.0566872895425e-152.02834364477125e-15
2710.9999999999999968.359669744767e-154.1798348723835e-15
2720.9999999999999911.79134030036395e-148.95670150181976e-15
2730.9999999999999813.76669545592898e-141.88334772796449e-14
2740.9999999999999676.60523110442057e-143.30261555221028e-14
2750.9999999999999539.38526587652713e-144.69263293826357e-14
2760.9999999999999833.42551426640365e-141.71275713320183e-14
2770.9999999999999627.56237602861695e-143.78118801430847e-14
2780.9999999999999637.37601204588322e-143.68800602294161e-14
2790.9999999999999539.39154176217905e-144.69577088108953e-14
2800.9999999999999491.01917403179689e-135.09587015898443e-14
2810.9999999999999371.26857811156206e-136.34289055781028e-14
2820.999999999999911.80876006907726e-139.04380034538632e-14
2830.9999999999998992.01926725246474e-131.00963362623237e-13
2840.9999999999999361.28165070247344e-136.40825351236718e-14
2850.999999999999921.59108444357256e-137.95542221786281e-14
2860.9999999999998892.22554366847884e-131.11277183423942e-13
2870.9999999999997764.48276508233953e-132.24138254116977e-13
2880.9999999999995419.18498332585928e-134.59249166292964e-13
2890.999999999999251.49949019843221e-127.49745099216107e-13
2900.9999999999992081.58383309597335e-127.91916547986674e-13
2910.999999999999181.64048550053432e-128.20242750267159e-13
2920.9999999999984953.01021017107878e-121.50510508553939e-12
2930.9999999999967386.52380740784707e-123.26190370392353e-12
2940.999999999996916.17941927737492e-123.08970963868746e-12
2950.9999999999959588.08399576522563e-124.04199788261282e-12
2960.9999999999930851.38294761600738e-116.91473808003691e-12
2970.9999999999871262.5747534513533e-111.28737672567665e-11
2980.9999999999802073.95855734611033e-111.97927867305516e-11
2990.9999999999630297.39422737926419e-113.69711368963209e-11
3000.9999999999184791.6304296893518e-108.15214844675901e-11
3010.9999999998243413.51317119761509e-101.75658559880754e-10
3020.9999999996406977.18606172838802e-103.59303086419401e-10
3030.9999999992688771.46224552785132e-097.3112276392566e-10
3040.9999999984649713.07005798586133e-091.53502899293066e-09
3050.9999999974136585.1726850377602e-092.5863425188801e-09
3060.9999999948607691.02784626455567e-085.13923132277837e-09
3070.9999999926346491.47307019263892e-087.36535096319458e-09
3080.99999998773142.45371994155413e-081.22685997077706e-08
3090.9999999769561154.60877695195833e-082.30438847597917e-08
3100.9999999527729029.44541952444921e-084.72270976222461e-08
3110.9999999035207171.92958566016418e-079.64792830082089e-08
3120.9999998045617333.90876533135901e-071.9543826656795e-07
3130.9999997304590795.39081843024158e-072.69540921512079e-07
3140.9999995239260389.52147923560821e-074.7607396178041e-07
3150.999999236459491.52708102094801e-067.63540510474005e-07
3160.9999991263526351.74729472977426e-068.73647364887128e-07
3170.9999985915008622.81699827561681e-061.40849913780841e-06
3180.9999978503047544.29939049292592e-062.14969524646296e-06
3190.9999967234352156.55312956935622e-063.27656478467811e-06
3200.9999949044393491.01911213020625e-055.09556065103126e-06
3210.9999921067801361.57864397275005e-057.89321986375024e-06
3220.9999849841510633.00316978741217e-051.50158489370609e-05
3230.9999714911363885.70177272231182e-052.85088636115591e-05
3240.9999490162438890.0001019675122213515.09837561106753e-05
3250.9999085119980620.0001829760038751259.14880019375624e-05
3260.999833685110370.0003326297792605230.000166314889630262
3270.9997171464415440.0005657071169117370.000282853558455869
3280.9995139474852390.0009721050295212060.000486052514760603
3290.9991743384918970.001651323016205780.000825661508102888
3300.9989982726761590.002003454647682050.00100172732384102
3310.9982946643469370.003410671306126790.00170533565306339
3320.9972071418399540.005585716320092860.00279285816004643
3330.9959683515449440.008063296910111830.00403164845505592
3340.9955923166386190.008815366722762750.00440768336138137
3350.9985316243558420.002936751288316110.00146837564415806
3360.9999428020121150.0001143959757698015.71979878849006e-05
3370.9999867607717282.64784565434976e-051.32392282717488e-05
3380.9999998385841833.22831633310617e-071.61415816655309e-07
3390.9999999962092017.58159858142672e-093.79079929071336e-09
3400.9999999970247525.95049593250743e-092.97524796625371e-09
3410.9999999917385271.65229461143207e-088.26147305716034e-09
3420.9999999617970297.64059416697668e-083.82029708348834e-08
3430.9999999293853321.41229336905446e-077.06146684527232e-08
3440.9999997942096154.11580769051403e-072.05790384525702e-07
3450.9999993238777551.3522444896388e-066.76122244819398e-07
3460.9999994680663661.0638672687497e-065.31933634374851e-07
3470.9999972431864455.51362710998822e-062.75681355499411e-06
3480.9999892622881412.14754237182065e-051.07377118591032e-05
3490.9999586462649328.27074701365488e-054.13537350682744e-05
3500.9999900863965031.98272069930426e-059.91360349652132e-06
3510.9999398178283160.0001203643433672696.01821716836345e-05
3520.9996696823526020.0006606352947966850.000330317647398343
3530.9998877272106340.0002245455787316440.000112272789365822
3540.9990294852740740.001941029451851820.000970514725925911

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
6 & 0.0169054038264474 & 0.0338108076528948 & 0.983094596173553 \tabularnewline
7 & 0.0629708161866202 & 0.12594163237324 & 0.93702918381338 \tabularnewline
8 & 0.246843651823399 & 0.493687303646798 & 0.753156348176601 \tabularnewline
9 & 0.425157697431217 & 0.850315394862434 & 0.574842302568783 \tabularnewline
10 & 0.467769714153998 & 0.935539428307995 & 0.532230285846002 \tabularnewline
11 & 0.461060407491732 & 0.922120814983465 & 0.538939592508268 \tabularnewline
12 & 0.400373179786899 & 0.800746359573797 & 0.599626820213101 \tabularnewline
13 & 0.321174907534732 & 0.642349815069464 & 0.678825092465268 \tabularnewline
14 & 0.252357501835523 & 0.504715003671047 & 0.747642498164477 \tabularnewline
15 & 0.190831848725084 & 0.381663697450169 & 0.809168151274916 \tabularnewline
16 & 0.147031848237029 & 0.294063696474059 & 0.85296815176297 \tabularnewline
17 & 0.110282319258264 & 0.220564638516528 & 0.889717680741736 \tabularnewline
18 & 0.083817345634106 & 0.167634691268212 & 0.916182654365894 \tabularnewline
19 & 0.0623052923850149 & 0.12461058477003 & 0.937694707614985 \tabularnewline
20 & 0.0535293783754051 & 0.10705875675081 & 0.946470621624595 \tabularnewline
21 & 0.0390930624052117 & 0.0781861248104234 & 0.960906937594788 \tabularnewline
22 & 0.026038383807233 & 0.052076767614466 & 0.973961616192767 \tabularnewline
23 & 0.0207702773512525 & 0.0415405547025049 & 0.979229722648748 \tabularnewline
24 & 0.0194576272397351 & 0.0389152544794702 & 0.980542372760265 \tabularnewline
25 & 0.0184746332753053 & 0.0369492665506105 & 0.981525366724695 \tabularnewline
26 & 0.0309149846570225 & 0.0618299693140449 & 0.969085015342978 \tabularnewline
27 & 0.589476690405947 & 0.821046619188107 & 0.410523309594053 \tabularnewline
28 & 0.66170345546799 & 0.676593089064019 & 0.33829654453201 \tabularnewline
29 & 0.636011791239832 & 0.727976417520336 & 0.363988208760168 \tabularnewline
30 & 0.581776335305686 & 0.836447329388628 & 0.418223664694314 \tabularnewline
31 & 0.536203620683442 & 0.927592758633117 & 0.463796379316558 \tabularnewline
32 & 0.523508543767729 & 0.952982912464542 & 0.476491456232271 \tabularnewline
33 & 0.482201915903577 & 0.964403831807153 & 0.517798084096423 \tabularnewline
34 & 0.437292978507327 & 0.874585957014653 & 0.562707021492673 \tabularnewline
35 & 0.393815197187338 & 0.787630394374675 & 0.606184802812662 \tabularnewline
36 & 0.353191422011923 & 0.706382844023846 & 0.646808577988077 \tabularnewline
37 & 0.321049862712557 & 0.642099725425114 & 0.678950137287443 \tabularnewline
38 & 0.282868727431108 & 0.565737454862216 & 0.717131272568892 \tabularnewline
39 & 0.246791864999891 & 0.493583729999781 & 0.753208135000109 \tabularnewline
40 & 0.236420824089226 & 0.472841648178452 & 0.763579175910774 \tabularnewline
41 & 0.209272478655533 & 0.418544957311066 & 0.790727521344467 \tabularnewline
42 & 0.179986118855433 & 0.359972237710867 & 0.820013881144567 \tabularnewline
43 & 0.153856121227558 & 0.307712242455116 & 0.846143878772442 \tabularnewline
44 & 0.130616308186699 & 0.261232616373397 & 0.869383691813301 \tabularnewline
45 & 0.108207474750286 & 0.216414949500571 & 0.891792525249714 \tabularnewline
46 & 0.0884405440894327 & 0.176881088178865 & 0.911559455910567 \tabularnewline
47 & 0.0725851880890994 & 0.145170376178199 & 0.927414811910901 \tabularnewline
48 & 0.0776704173803709 & 0.155340834760742 & 0.922329582619629 \tabularnewline
49 & 0.0802284896533106 & 0.160456979306621 & 0.919771510346689 \tabularnewline
50 & 0.0951270087646921 & 0.190254017529384 & 0.904872991235308 \tabularnewline
51 & 0.108191344975057 & 0.216382689950114 & 0.891808655024943 \tabularnewline
52 & 0.114532748725215 & 0.22906549745043 & 0.885467251274785 \tabularnewline
53 & 0.115122176195249 & 0.230244352390497 & 0.884877823804751 \tabularnewline
54 & 0.105838331495145 & 0.21167666299029 & 0.894161668504855 \tabularnewline
55 & 0.0950381421056694 & 0.190076284211339 & 0.904961857894331 \tabularnewline
56 & 0.082479931176613 & 0.164959862353226 & 0.917520068823387 \tabularnewline
57 & 0.0697292877188236 & 0.139458575437647 & 0.930270712281176 \tabularnewline
58 & 0.0681285076553798 & 0.13625701531076 & 0.93187149234462 \tabularnewline
59 & 0.0823595611558381 & 0.164719122311676 & 0.917640438844162 \tabularnewline
60 & 0.0780578767591088 & 0.156115753518218 & 0.921942123240891 \tabularnewline
61 & 0.0704584759582089 & 0.140916951916418 & 0.929541524041791 \tabularnewline
62 & 0.058640026395464 & 0.117280052790928 & 0.941359973604536 \tabularnewline
63 & 0.0508736572165602 & 0.10174731443312 & 0.94912634278344 \tabularnewline
64 & 0.0434781320886337 & 0.0869562641772673 & 0.956521867911366 \tabularnewline
65 & 0.0359708221095912 & 0.0719416442191825 & 0.964029177890409 \tabularnewline
66 & 0.0295629212255318 & 0.0591258424510637 & 0.970437078774468 \tabularnewline
67 & 0.024359586865338 & 0.048719173730676 & 0.975640413134662 \tabularnewline
68 & 0.0204514485925772 & 0.0409028971851543 & 0.979548551407423 \tabularnewline
69 & 0.0175468088817615 & 0.0350936177635229 & 0.982453191118238 \tabularnewline
70 & 0.0162157164393775 & 0.032431432878755 & 0.983784283560623 \tabularnewline
71 & 0.0139108419324377 & 0.0278216838648755 & 0.986089158067562 \tabularnewline
72 & 0.0115474990781335 & 0.0230949981562671 & 0.988452500921866 \tabularnewline
73 & 0.00971757803659365 & 0.0194351560731873 & 0.990282421963406 \tabularnewline
74 & 0.00865069100899439 & 0.0173013820179888 & 0.991349308991006 \tabularnewline
75 & 0.00840899468211923 & 0.0168179893642385 & 0.991591005317881 \tabularnewline
76 & 0.00723680757722233 & 0.0144736151544447 & 0.992763192422778 \tabularnewline
77 & 0.00630609287051421 & 0.0126121857410284 & 0.993693907129486 \tabularnewline
78 & 0.00582496057906569 & 0.0116499211581314 & 0.994175039420934 \tabularnewline
79 & 0.00575668573722346 & 0.0115133714744469 & 0.994243314262777 \tabularnewline
80 & 0.00646329180713736 & 0.0129265836142747 & 0.993536708192863 \tabularnewline
81 & 0.00590736266214343 & 0.0118147253242869 & 0.994092637337857 \tabularnewline
82 & 0.00533894478534119 & 0.0106778895706824 & 0.994661055214659 \tabularnewline
83 & 0.00499199402322097 & 0.00998398804644194 & 0.995008005976779 \tabularnewline
84 & 0.00495735500715275 & 0.00991471001430549 & 0.995042644992847 \tabularnewline
85 & 0.00528479424117329 & 0.0105695884823466 & 0.994715205758827 \tabularnewline
86 & 0.00691227493005321 & 0.0138245498601064 & 0.993087725069947 \tabularnewline
87 & 0.00899087050721191 & 0.0179817410144238 & 0.991009129492788 \tabularnewline
88 & 0.0113569566856754 & 0.0227139133713507 & 0.988643043314325 \tabularnewline
89 & 0.0144255359200367 & 0.0288510718400734 & 0.985574464079963 \tabularnewline
90 & 0.0195907583876252 & 0.0391815167752504 & 0.980409241612375 \tabularnewline
91 & 0.0295302726947467 & 0.0590605453894934 & 0.970469727305253 \tabularnewline
92 & 0.0363672039395762 & 0.0727344078791523 & 0.963632796060424 \tabularnewline
93 & 0.0425646266564561 & 0.0851292533129122 & 0.957435373343544 \tabularnewline
94 & 0.0526377308240258 & 0.105275461648052 & 0.947362269175974 \tabularnewline
95 & 0.0636947938252674 & 0.127389587650535 & 0.936305206174733 \tabularnewline
96 & 0.0726310022047803 & 0.145262004409561 & 0.92736899779522 \tabularnewline
97 & 0.0852279156478978 & 0.170455831295796 & 0.914772084352102 \tabularnewline
98 & 0.105533718959927 & 0.211067437919855 & 0.894466281040073 \tabularnewline
99 & 0.119245000811963 & 0.238490001623925 & 0.880754999188037 \tabularnewline
100 & 0.142537356707993 & 0.285074713415987 & 0.857462643292007 \tabularnewline
101 & 0.172718707506614 & 0.345437415013227 & 0.827281292493386 \tabularnewline
102 & 0.191655070052228 & 0.383310140104457 & 0.808344929947772 \tabularnewline
103 & 0.213796197466223 & 0.427592394932446 & 0.786203802533777 \tabularnewline
104 & 0.22597336169399 & 0.45194672338798 & 0.77402663830601 \tabularnewline
105 & 0.227715896149989 & 0.455431792299978 & 0.772284103850011 \tabularnewline
106 & 0.231474049854235 & 0.462948099708469 & 0.768525950145765 \tabularnewline
107 & 0.226566241805518 & 0.453132483611035 & 0.773433758194482 \tabularnewline
108 & 0.215099017693109 & 0.430198035386218 & 0.784900982306891 \tabularnewline
109 & 0.216561355101023 & 0.433122710202045 & 0.783438644898977 \tabularnewline
110 & 0.465767895550885 & 0.93153579110177 & 0.534232104449115 \tabularnewline
111 & 0.604905844887353 & 0.790188310225295 & 0.395094155112647 \tabularnewline
112 & 0.64243778870446 & 0.715124422591079 & 0.35756221129554 \tabularnewline
113 & 0.645829981390068 & 0.708340037219864 & 0.354170018609932 \tabularnewline
114 & 0.642169341893849 & 0.715661316212302 & 0.357830658106151 \tabularnewline
115 & 0.630506299239993 & 0.738987401520014 & 0.369493700760007 \tabularnewline
116 & 0.606326173681176 & 0.787347652637648 & 0.393673826318824 \tabularnewline
117 & 0.575653045446442 & 0.848693909107116 & 0.424346954553558 \tabularnewline
118 & 0.544203809664939 & 0.911592380670121 & 0.455796190335061 \tabularnewline
119 & 0.512747352637815 & 0.97450529472437 & 0.487252647362185 \tabularnewline
120 & 0.481989709599605 & 0.96397941919921 & 0.518010290400395 \tabularnewline
121 & 0.451867174856427 & 0.903734349712854 & 0.548132825143573 \tabularnewline
122 & 0.420683890168647 & 0.841367780337293 & 0.579316109831353 \tabularnewline
123 & 0.389902293147567 & 0.779804586295134 & 0.610097706852433 \tabularnewline
124 & 0.360311874169973 & 0.720623748339947 & 0.639688125830027 \tabularnewline
125 & 0.334152933461647 & 0.668305866923293 & 0.665847066538353 \tabularnewline
126 & 0.307993583008748 & 0.615987166017497 & 0.692006416991252 \tabularnewline
127 & 0.283009450915522 & 0.566018901831044 & 0.716990549084478 \tabularnewline
128 & 0.262960142610631 & 0.525920285221263 & 0.737039857389369 \tabularnewline
129 & 0.240889033879243 & 0.481778067758486 & 0.759110966120757 \tabularnewline
130 & 0.218958499410144 & 0.437916998820287 & 0.781041500589857 \tabularnewline
131 & 0.208456045616269 & 0.416912091232538 & 0.791543954383731 \tabularnewline
132 & 0.19894335514192 & 0.397886710283839 & 0.80105664485808 \tabularnewline
133 & 0.182322804651478 & 0.364645609302956 & 0.817677195348522 \tabularnewline
134 & 0.169654751991416 & 0.339309503982832 & 0.830345248008584 \tabularnewline
135 & 0.159415919558883 & 0.318831839117766 & 0.840584080441117 \tabularnewline
136 & 0.146108772692146 & 0.292217545384293 & 0.853891227307854 \tabularnewline
137 & 0.133905088073953 & 0.267810176147905 & 0.866094911926047 \tabularnewline
138 & 0.121766029041403 & 0.243532058082806 & 0.878233970958597 \tabularnewline
139 & 0.109462119352232 & 0.218924238704465 & 0.890537880647768 \tabularnewline
140 & 0.0986307195312216 & 0.197261439062443 & 0.901369280468778 \tabularnewline
141 & 0.0895610375857265 & 0.179122075171453 & 0.910438962414273 \tabularnewline
142 & 0.0803393350165969 & 0.160678670033194 & 0.919660664983403 \tabularnewline
143 & 0.0713674044142128 & 0.142734808828426 & 0.928632595585787 \tabularnewline
144 & 0.0629177851872032 & 0.125835570374406 & 0.937082214812797 \tabularnewline
145 & 0.0553671599547628 & 0.110734319909526 & 0.944632840045237 \tabularnewline
146 & 0.0530953091090175 & 0.106190618218035 & 0.946904690890983 \tabularnewline
147 & 0.0512263484480594 & 0.102452696896119 & 0.948773651551941 \tabularnewline
148 & 0.0449112235530831 & 0.0898224471061662 & 0.955088776446917 \tabularnewline
149 & 0.0414381382168382 & 0.0828762764336765 & 0.958561861783162 \tabularnewline
150 & 0.0373719057997908 & 0.0747438115995816 & 0.962628094200209 \tabularnewline
151 & 0.0354659257307749 & 0.0709318514615497 & 0.964534074269225 \tabularnewline
152 & 0.0332763237087076 & 0.0665526474174151 & 0.966723676291292 \tabularnewline
153 & 0.0305105018474348 & 0.0610210036948695 & 0.969489498152565 \tabularnewline
154 & 0.0270012749466362 & 0.0540025498932724 & 0.972998725053364 \tabularnewline
155 & 0.0230711840747627 & 0.0461423681495253 & 0.976928815925237 \tabularnewline
156 & 0.0198234141336328 & 0.0396468282672655 & 0.980176585866367 \tabularnewline
157 & 0.0172338528727159 & 0.0344677057454318 & 0.982766147127284 \tabularnewline
158 & 0.0158819633040597 & 0.0317639266081193 & 0.98411803669594 \tabularnewline
159 & 0.0135525427880079 & 0.0271050855760157 & 0.986447457211992 \tabularnewline
160 & 0.0114313330552044 & 0.0228626661104087 & 0.988568666944796 \tabularnewline
161 & 0.00971083153290665 & 0.0194216630658133 & 0.990289168467093 \tabularnewline
162 & 0.00860708381723446 & 0.0172141676344689 & 0.991392916182766 \tabularnewline
163 & 0.00853861538417739 & 0.0170772307683548 & 0.991461384615823 \tabularnewline
164 & 0.00859681609638434 & 0.0171936321927687 & 0.991403183903616 \tabularnewline
165 & 0.00718181638931537 & 0.0143636327786307 & 0.992818183610685 \tabularnewline
166 & 0.00605138432385323 & 0.0121027686477065 & 0.993948615676147 \tabularnewline
167 & 0.0050204952619366 & 0.0100409905238732 & 0.994979504738063 \tabularnewline
168 & 0.00422379329246337 & 0.00844758658492673 & 0.995776206707537 \tabularnewline
169 & 0.0036287770944172 & 0.00725755418883439 & 0.996371222905583 \tabularnewline
170 & 0.00325338165880753 & 0.00650676331761506 & 0.996746618341192 \tabularnewline
171 & 0.00269079252302964 & 0.00538158504605928 & 0.99730920747697 \tabularnewline
172 & 0.0021685004362273 & 0.0043370008724546 & 0.997831499563773 \tabularnewline
173 & 0.00175444954541032 & 0.00350889909082064 & 0.99824555045459 \tabularnewline
174 & 0.00141746468389717 & 0.00283492936779433 & 0.998582535316103 \tabularnewline
175 & 0.00115804606789543 & 0.00231609213579086 & 0.998841953932105 \tabularnewline
176 & 0.000976571040594084 & 0.00195314208118817 & 0.999023428959406 \tabularnewline
177 & 0.000828534287138171 & 0.00165706857427634 & 0.999171465712862 \tabularnewline
178 & 0.00071662337974381 & 0.00143324675948762 & 0.999283376620256 \tabularnewline
179 & 0.00063568103961206 & 0.00127136207922412 & 0.999364318960388 \tabularnewline
180 & 0.000581746882639967 & 0.00116349376527993 & 0.99941825311736 \tabularnewline
181 & 0.000513754670718936 & 0.00102750934143787 & 0.999486245329281 \tabularnewline
182 & 0.000442125044345781 & 0.000884250088691563 & 0.999557874955654 \tabularnewline
183 & 0.000389457586616742 & 0.000778915173233484 & 0.999610542413383 \tabularnewline
184 & 0.000346882405261239 & 0.000693764810522478 & 0.999653117594739 \tabularnewline
185 & 0.000309828446674369 & 0.000619656893348737 & 0.999690171553326 \tabularnewline
186 & 0.000278843354011914 & 0.000557686708023827 & 0.999721156645988 \tabularnewline
187 & 0.000274214274508248 & 0.000548428549016495 & 0.999725785725492 \tabularnewline
188 & 0.000288961230965323 & 0.000577922461930645 & 0.999711038769035 \tabularnewline
189 & 0.000287388320331861 & 0.000574776640663722 & 0.999712611679668 \tabularnewline
190 & 0.000282949539855455 & 0.00056589907971091 & 0.999717050460145 \tabularnewline
191 & 0.000287382800851859 & 0.000574765601703718 & 0.999712617199148 \tabularnewline
192 & 0.000302259374470522 & 0.000604518748941044 & 0.99969774062553 \tabularnewline
193 & 0.000327984657083491 & 0.000655969314166981 & 0.999672015342916 \tabularnewline
194 & 0.000344698961085209 & 0.000689397922170419 & 0.999655301038915 \tabularnewline
195 & 0.000366304620200327 & 0.000732609240400653 & 0.9996336953798 \tabularnewline
196 & 0.00038653152183271 & 0.00077306304366542 & 0.999613468478167 \tabularnewline
197 & 0.000407494327770644 & 0.000814988655541287 & 0.999592505672229 \tabularnewline
198 & 0.000435158602512202 & 0.000870317205024405 & 0.999564841397488 \tabularnewline
199 & 0.00047165635584157 & 0.000943312711683141 & 0.999528343644158 \tabularnewline
200 & 0.000583351590067642 & 0.00116670318013528 & 0.999416648409932 \tabularnewline
201 & 0.00075809457049129 & 0.00151618914098258 & 0.999241905429509 \tabularnewline
202 & 0.00120611893110208 & 0.00241223786220415 & 0.998793881068898 \tabularnewline
203 & 0.00196969766114146 & 0.00393939532228291 & 0.998030302338859 \tabularnewline
204 & 0.00309010411968798 & 0.00618020823937595 & 0.996909895880312 \tabularnewline
205 & 0.00473794364241046 & 0.00947588728482093 & 0.99526205635759 \tabularnewline
206 & 0.0093793710320847 & 0.0187587420641694 & 0.990620628967915 \tabularnewline
207 & 0.0591346797989439 & 0.118269359597888 & 0.940865320201056 \tabularnewline
208 & 0.230978918643821 & 0.461957837287642 & 0.769021081356179 \tabularnewline
209 & 0.555372771249563 & 0.889254457500875 & 0.444627228750438 \tabularnewline
210 & 0.854505370153457 & 0.290989259693086 & 0.145494629846543 \tabularnewline
211 & 0.868207390931855 & 0.26358521813629 & 0.131792609068145 \tabularnewline
212 & 0.947087118512766 & 0.105825762974467 & 0.0529128814872337 \tabularnewline
213 & 0.95889652234649 & 0.0822069553070203 & 0.0411034776535101 \tabularnewline
214 & 0.965494197741067 & 0.0690116045178649 & 0.0345058022589325 \tabularnewline
215 & 0.973874856985029 & 0.0522502860299423 & 0.0261251430149712 \tabularnewline
216 & 0.979090114184645 & 0.0418197716307109 & 0.0209098858153555 \tabularnewline
217 & 0.985559694117652 & 0.0288806117646967 & 0.0144403058823484 \tabularnewline
218 & 0.986559158258623 & 0.0268816834827541 & 0.013440841741377 \tabularnewline
219 & 0.985708638218508 & 0.0285827235629839 & 0.014291361781492 \tabularnewline
220 & 0.984728417118478 & 0.0305431657630445 & 0.0152715828815223 \tabularnewline
221 & 0.983164200445478 & 0.0336715991090433 & 0.0168357995545216 \tabularnewline
222 & 0.982019710205455 & 0.0359605795890896 & 0.0179802897945448 \tabularnewline
223 & 0.980820983971999 & 0.0383580320560015 & 0.0191790160280008 \tabularnewline
224 & 0.981890942625923 & 0.0362181147481548 & 0.0181090573740774 \tabularnewline
225 & 0.982169635769073 & 0.035660728461853 & 0.0178303642309265 \tabularnewline
226 & 0.980479946135054 & 0.0390401077298923 & 0.0195200538649461 \tabularnewline
227 & 0.977660186708342 & 0.0446796265833165 & 0.0223398132916583 \tabularnewline
228 & 0.973623329508868 & 0.052753340982265 & 0.0263766704911325 \tabularnewline
229 & 0.968405688770923 & 0.0631886224581533 & 0.0315943112290766 \tabularnewline
230 & 0.962407645162287 & 0.0751847096754262 & 0.0375923548377131 \tabularnewline
231 & 0.95584044809226 & 0.0883191038154803 & 0.0441595519077402 \tabularnewline
232 & 0.948076318327953 & 0.103847363344093 & 0.0519236816720466 \tabularnewline
233 & 0.941679289215591 & 0.116641421568818 & 0.0583207107844091 \tabularnewline
234 & 0.934227073473157 & 0.131545853053686 & 0.065772926526843 \tabularnewline
235 & 0.932407342743283 & 0.135185314513434 & 0.067592657256717 \tabularnewline
236 & 0.959351138558136 & 0.0812977228837281 & 0.0406488614418641 \tabularnewline
237 & 0.982441281210163 & 0.0351174375796733 & 0.0175587187898367 \tabularnewline
238 & 0.993929722733908 & 0.0121405545321844 & 0.00607027726609219 \tabularnewline
239 & 0.998655871950857 & 0.00268825609828602 & 0.00134412804914301 \tabularnewline
240 & 0.99945565842272 & 0.00108868315455906 & 0.00054434157727953 \tabularnewline
241 & 0.999728384375027 & 0.00054323124994622 & 0.00027161562497311 \tabularnewline
242 & 0.999979562683671 & 4.08746326575911e-05 & 2.04373163287956e-05 \tabularnewline
243 & 0.999999998862264 & 2.27547137482008e-09 & 1.13773568741004e-09 \tabularnewline
244 & 0.99999999994277 & 1.14459058666848e-10 & 5.72295293334241e-11 \tabularnewline
245 & 0.999999999999734 & 5.31491485492499e-13 & 2.6574574274625e-13 \tabularnewline
246 & 0.999999999999948 & 1.03286188487573e-13 & 5.16430942437864e-14 \tabularnewline
247 & 0.999999999999978 & 4.40190606597391e-14 & 2.20095303298695e-14 \tabularnewline
248 & 0.999999999999999 & 2.36051198037992e-15 & 1.18025599018996e-15 \tabularnewline
249 & 1 & 3.75838125386547e-17 & 1.87919062693274e-17 \tabularnewline
250 & 1 & 3.19459164802967e-18 & 1.59729582401483e-18 \tabularnewline
251 & 1 & 2.20149388536651e-19 & 1.10074694268326e-19 \tabularnewline
252 & 1 & 2.03653149227818e-19 & 1.01826574613909e-19 \tabularnewline
253 & 1 & 3.99344484812625e-19 & 1.99672242406312e-19 \tabularnewline
254 & 1 & 8.58406383952805e-19 & 4.29203191976403e-19 \tabularnewline
255 & 1 & 8.11729968940604e-19 & 4.05864984470302e-19 \tabularnewline
256 & 1 & 1.32678453559517e-18 & 6.63392267797583e-19 \tabularnewline
257 & 1 & 1.43283441754058e-18 & 7.16417208770291e-19 \tabularnewline
258 & 1 & 2.37910042201572e-18 & 1.18955021100786e-18 \tabularnewline
259 & 1 & 4.27003021095118e-18 & 2.13501510547559e-18 \tabularnewline
260 & 1 & 9.1015492482975e-18 & 4.55077462414875e-18 \tabularnewline
261 & 1 & 1.83165382334786e-17 & 9.15826911673931e-18 \tabularnewline
262 & 1 & 4.21577156212669e-17 & 2.10788578106334e-17 \tabularnewline
263 & 1 & 8.21194502720935e-17 & 4.10597251360467e-17 \tabularnewline
264 & 1 & 1.24402878925108e-16 & 6.22014394625539e-17 \tabularnewline
265 & 1 & 1.84419998042297e-16 & 9.22099990211483e-17 \tabularnewline
266 & 1 & 3.04536804962816e-16 & 1.52268402481408e-16 \tabularnewline
267 & 1 & 5.80447364964528e-16 & 2.90223682482264e-16 \tabularnewline
268 & 0.999999999999999 & 1.11688858205393e-15 & 5.58444291026965e-16 \tabularnewline
269 & 0.999999999999999 & 2.41933361784652e-15 & 1.20966680892326e-15 \tabularnewline
270 & 0.999999999999998 & 4.0566872895425e-15 & 2.02834364477125e-15 \tabularnewline
271 & 0.999999999999996 & 8.359669744767e-15 & 4.1798348723835e-15 \tabularnewline
272 & 0.999999999999991 & 1.79134030036395e-14 & 8.95670150181976e-15 \tabularnewline
273 & 0.999999999999981 & 3.76669545592898e-14 & 1.88334772796449e-14 \tabularnewline
274 & 0.999999999999967 & 6.60523110442057e-14 & 3.30261555221028e-14 \tabularnewline
275 & 0.999999999999953 & 9.38526587652713e-14 & 4.69263293826357e-14 \tabularnewline
276 & 0.999999999999983 & 3.42551426640365e-14 & 1.71275713320183e-14 \tabularnewline
277 & 0.999999999999962 & 7.56237602861695e-14 & 3.78118801430847e-14 \tabularnewline
278 & 0.999999999999963 & 7.37601204588322e-14 & 3.68800602294161e-14 \tabularnewline
279 & 0.999999999999953 & 9.39154176217905e-14 & 4.69577088108953e-14 \tabularnewline
280 & 0.999999999999949 & 1.01917403179689e-13 & 5.09587015898443e-14 \tabularnewline
281 & 0.999999999999937 & 1.26857811156206e-13 & 6.34289055781028e-14 \tabularnewline
282 & 0.99999999999991 & 1.80876006907726e-13 & 9.04380034538632e-14 \tabularnewline
283 & 0.999999999999899 & 2.01926725246474e-13 & 1.00963362623237e-13 \tabularnewline
284 & 0.999999999999936 & 1.28165070247344e-13 & 6.40825351236718e-14 \tabularnewline
285 & 0.99999999999992 & 1.59108444357256e-13 & 7.95542221786281e-14 \tabularnewline
286 & 0.999999999999889 & 2.22554366847884e-13 & 1.11277183423942e-13 \tabularnewline
287 & 0.999999999999776 & 4.48276508233953e-13 & 2.24138254116977e-13 \tabularnewline
288 & 0.999999999999541 & 9.18498332585928e-13 & 4.59249166292964e-13 \tabularnewline
289 & 0.99999999999925 & 1.49949019843221e-12 & 7.49745099216107e-13 \tabularnewline
290 & 0.999999999999208 & 1.58383309597335e-12 & 7.91916547986674e-13 \tabularnewline
291 & 0.99999999999918 & 1.64048550053432e-12 & 8.20242750267159e-13 \tabularnewline
292 & 0.999999999998495 & 3.01021017107878e-12 & 1.50510508553939e-12 \tabularnewline
293 & 0.999999999996738 & 6.52380740784707e-12 & 3.26190370392353e-12 \tabularnewline
294 & 0.99999999999691 & 6.17941927737492e-12 & 3.08970963868746e-12 \tabularnewline
295 & 0.999999999995958 & 8.08399576522563e-12 & 4.04199788261282e-12 \tabularnewline
296 & 0.999999999993085 & 1.38294761600738e-11 & 6.91473808003691e-12 \tabularnewline
297 & 0.999999999987126 & 2.5747534513533e-11 & 1.28737672567665e-11 \tabularnewline
298 & 0.999999999980207 & 3.95855734611033e-11 & 1.97927867305516e-11 \tabularnewline
299 & 0.999999999963029 & 7.39422737926419e-11 & 3.69711368963209e-11 \tabularnewline
300 & 0.999999999918479 & 1.6304296893518e-10 & 8.15214844675901e-11 \tabularnewline
301 & 0.999999999824341 & 3.51317119761509e-10 & 1.75658559880754e-10 \tabularnewline
302 & 0.999999999640697 & 7.18606172838802e-10 & 3.59303086419401e-10 \tabularnewline
303 & 0.999999999268877 & 1.46224552785132e-09 & 7.3112276392566e-10 \tabularnewline
304 & 0.999999998464971 & 3.07005798586133e-09 & 1.53502899293066e-09 \tabularnewline
305 & 0.999999997413658 & 5.1726850377602e-09 & 2.5863425188801e-09 \tabularnewline
306 & 0.999999994860769 & 1.02784626455567e-08 & 5.13923132277837e-09 \tabularnewline
307 & 0.999999992634649 & 1.47307019263892e-08 & 7.36535096319458e-09 \tabularnewline
308 & 0.9999999877314 & 2.45371994155413e-08 & 1.22685997077706e-08 \tabularnewline
309 & 0.999999976956115 & 4.60877695195833e-08 & 2.30438847597917e-08 \tabularnewline
310 & 0.999999952772902 & 9.44541952444921e-08 & 4.72270976222461e-08 \tabularnewline
311 & 0.999999903520717 & 1.92958566016418e-07 & 9.64792830082089e-08 \tabularnewline
312 & 0.999999804561733 & 3.90876533135901e-07 & 1.9543826656795e-07 \tabularnewline
313 & 0.999999730459079 & 5.39081843024158e-07 & 2.69540921512079e-07 \tabularnewline
314 & 0.999999523926038 & 9.52147923560821e-07 & 4.7607396178041e-07 \tabularnewline
315 & 0.99999923645949 & 1.52708102094801e-06 & 7.63540510474005e-07 \tabularnewline
316 & 0.999999126352635 & 1.74729472977426e-06 & 8.73647364887128e-07 \tabularnewline
317 & 0.999998591500862 & 2.81699827561681e-06 & 1.40849913780841e-06 \tabularnewline
318 & 0.999997850304754 & 4.29939049292592e-06 & 2.14969524646296e-06 \tabularnewline
319 & 0.999996723435215 & 6.55312956935622e-06 & 3.27656478467811e-06 \tabularnewline
320 & 0.999994904439349 & 1.01911213020625e-05 & 5.09556065103126e-06 \tabularnewline
321 & 0.999992106780136 & 1.57864397275005e-05 & 7.89321986375024e-06 \tabularnewline
322 & 0.999984984151063 & 3.00316978741217e-05 & 1.50158489370609e-05 \tabularnewline
323 & 0.999971491136388 & 5.70177272231182e-05 & 2.85088636115591e-05 \tabularnewline
324 & 0.999949016243889 & 0.000101967512221351 & 5.09837561106753e-05 \tabularnewline
325 & 0.999908511998062 & 0.000182976003875125 & 9.14880019375624e-05 \tabularnewline
326 & 0.99983368511037 & 0.000332629779260523 & 0.000166314889630262 \tabularnewline
327 & 0.999717146441544 & 0.000565707116911737 & 0.000282853558455869 \tabularnewline
328 & 0.999513947485239 & 0.000972105029521206 & 0.000486052514760603 \tabularnewline
329 & 0.999174338491897 & 0.00165132301620578 & 0.000825661508102888 \tabularnewline
330 & 0.998998272676159 & 0.00200345464768205 & 0.00100172732384102 \tabularnewline
331 & 0.998294664346937 & 0.00341067130612679 & 0.00170533565306339 \tabularnewline
332 & 0.997207141839954 & 0.00558571632009286 & 0.00279285816004643 \tabularnewline
333 & 0.995968351544944 & 0.00806329691011183 & 0.00403164845505592 \tabularnewline
334 & 0.995592316638619 & 0.00881536672276275 & 0.00440768336138137 \tabularnewline
335 & 0.998531624355842 & 0.00293675128831611 & 0.00146837564415806 \tabularnewline
336 & 0.999942802012115 & 0.000114395975769801 & 5.71979878849006e-05 \tabularnewline
337 & 0.999986760771728 & 2.64784565434976e-05 & 1.32392282717488e-05 \tabularnewline
338 & 0.999999838584183 & 3.22831633310617e-07 & 1.61415816655309e-07 \tabularnewline
339 & 0.999999996209201 & 7.58159858142672e-09 & 3.79079929071336e-09 \tabularnewline
340 & 0.999999997024752 & 5.95049593250743e-09 & 2.97524796625371e-09 \tabularnewline
341 & 0.999999991738527 & 1.65229461143207e-08 & 8.26147305716034e-09 \tabularnewline
342 & 0.999999961797029 & 7.64059416697668e-08 & 3.82029708348834e-08 \tabularnewline
343 & 0.999999929385332 & 1.41229336905446e-07 & 7.06146684527232e-08 \tabularnewline
344 & 0.999999794209615 & 4.11580769051403e-07 & 2.05790384525702e-07 \tabularnewline
345 & 0.999999323877755 & 1.3522444896388e-06 & 6.76122244819398e-07 \tabularnewline
346 & 0.999999468066366 & 1.0638672687497e-06 & 5.31933634374851e-07 \tabularnewline
347 & 0.999997243186445 & 5.51362710998822e-06 & 2.75681355499411e-06 \tabularnewline
348 & 0.999989262288141 & 2.14754237182065e-05 & 1.07377118591032e-05 \tabularnewline
349 & 0.999958646264932 & 8.27074701365488e-05 & 4.13537350682744e-05 \tabularnewline
350 & 0.999990086396503 & 1.98272069930426e-05 & 9.91360349652132e-06 \tabularnewline
351 & 0.999939817828316 & 0.000120364343367269 & 6.01821716836345e-05 \tabularnewline
352 & 0.999669682352602 & 0.000660635294796685 & 0.000330317647398343 \tabularnewline
353 & 0.999887727210634 & 0.000224545578731644 & 0.000112272789365822 \tabularnewline
354 & 0.999029485274074 & 0.00194102945185182 & 0.000970514725925911 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=185713&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]0.0169054038264474[/C][C]0.0338108076528948[/C][C]0.983094596173553[/C][/ROW]
[ROW][C]7[/C][C]0.0629708161866202[/C][C]0.12594163237324[/C][C]0.93702918381338[/C][/ROW]
[ROW][C]8[/C][C]0.246843651823399[/C][C]0.493687303646798[/C][C]0.753156348176601[/C][/ROW]
[ROW][C]9[/C][C]0.425157697431217[/C][C]0.850315394862434[/C][C]0.574842302568783[/C][/ROW]
[ROW][C]10[/C][C]0.467769714153998[/C][C]0.935539428307995[/C][C]0.532230285846002[/C][/ROW]
[ROW][C]11[/C][C]0.461060407491732[/C][C]0.922120814983465[/C][C]0.538939592508268[/C][/ROW]
[ROW][C]12[/C][C]0.400373179786899[/C][C]0.800746359573797[/C][C]0.599626820213101[/C][/ROW]
[ROW][C]13[/C][C]0.321174907534732[/C][C]0.642349815069464[/C][C]0.678825092465268[/C][/ROW]
[ROW][C]14[/C][C]0.252357501835523[/C][C]0.504715003671047[/C][C]0.747642498164477[/C][/ROW]
[ROW][C]15[/C][C]0.190831848725084[/C][C]0.381663697450169[/C][C]0.809168151274916[/C][/ROW]
[ROW][C]16[/C][C]0.147031848237029[/C][C]0.294063696474059[/C][C]0.85296815176297[/C][/ROW]
[ROW][C]17[/C][C]0.110282319258264[/C][C]0.220564638516528[/C][C]0.889717680741736[/C][/ROW]
[ROW][C]18[/C][C]0.083817345634106[/C][C]0.167634691268212[/C][C]0.916182654365894[/C][/ROW]
[ROW][C]19[/C][C]0.0623052923850149[/C][C]0.12461058477003[/C][C]0.937694707614985[/C][/ROW]
[ROW][C]20[/C][C]0.0535293783754051[/C][C]0.10705875675081[/C][C]0.946470621624595[/C][/ROW]
[ROW][C]21[/C][C]0.0390930624052117[/C][C]0.0781861248104234[/C][C]0.960906937594788[/C][/ROW]
[ROW][C]22[/C][C]0.026038383807233[/C][C]0.052076767614466[/C][C]0.973961616192767[/C][/ROW]
[ROW][C]23[/C][C]0.0207702773512525[/C][C]0.0415405547025049[/C][C]0.979229722648748[/C][/ROW]
[ROW][C]24[/C][C]0.0194576272397351[/C][C]0.0389152544794702[/C][C]0.980542372760265[/C][/ROW]
[ROW][C]25[/C][C]0.0184746332753053[/C][C]0.0369492665506105[/C][C]0.981525366724695[/C][/ROW]
[ROW][C]26[/C][C]0.0309149846570225[/C][C]0.0618299693140449[/C][C]0.969085015342978[/C][/ROW]
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[ROW][C]120[/C][C]0.481989709599605[/C][C]0.96397941919921[/C][C]0.518010290400395[/C][/ROW]
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[ROW][C]125[/C][C]0.334152933461647[/C][C]0.668305866923293[/C][C]0.665847066538353[/C][/ROW]
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[ROW][C]127[/C][C]0.283009450915522[/C][C]0.566018901831044[/C][C]0.716990549084478[/C][/ROW]
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[ROW][C]131[/C][C]0.208456045616269[/C][C]0.416912091232538[/C][C]0.791543954383731[/C][/ROW]
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[ROW][C]166[/C][C]0.00605138432385323[/C][C]0.0121027686477065[/C][C]0.993948615676147[/C][/ROW]
[ROW][C]167[/C][C]0.0050204952619366[/C][C]0.0100409905238732[/C][C]0.994979504738063[/C][/ROW]
[ROW][C]168[/C][C]0.00422379329246337[/C][C]0.00844758658492673[/C][C]0.995776206707537[/C][/ROW]
[ROW][C]169[/C][C]0.0036287770944172[/C][C]0.00725755418883439[/C][C]0.996371222905583[/C][/ROW]
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[ROW][C]171[/C][C]0.00269079252302964[/C][C]0.00538158504605928[/C][C]0.99730920747697[/C][/ROW]
[ROW][C]172[/C][C]0.0021685004362273[/C][C]0.0043370008724546[/C][C]0.997831499563773[/C][/ROW]
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[ROW][C]261[/C][C]1[/C][C]1.83165382334786e-17[/C][C]9.15826911673931e-18[/C][/ROW]
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[ROW][C]317[/C][C]0.999998591500862[/C][C]2.81699827561681e-06[/C][C]1.40849913780841e-06[/C][/ROW]
[ROW][C]318[/C][C]0.999997850304754[/C][C]4.29939049292592e-06[/C][C]2.14969524646296e-06[/C][/ROW]
[ROW][C]319[/C][C]0.999996723435215[/C][C]6.55312956935622e-06[/C][C]3.27656478467811e-06[/C][/ROW]
[ROW][C]320[/C][C]0.999994904439349[/C][C]1.01911213020625e-05[/C][C]5.09556065103126e-06[/C][/ROW]
[ROW][C]321[/C][C]0.999992106780136[/C][C]1.57864397275005e-05[/C][C]7.89321986375024e-06[/C][/ROW]
[ROW][C]322[/C][C]0.999984984151063[/C][C]3.00316978741217e-05[/C][C]1.50158489370609e-05[/C][/ROW]
[ROW][C]323[/C][C]0.999971491136388[/C][C]5.70177272231182e-05[/C][C]2.85088636115591e-05[/C][/ROW]
[ROW][C]324[/C][C]0.999949016243889[/C][C]0.000101967512221351[/C][C]5.09837561106753e-05[/C][/ROW]
[ROW][C]325[/C][C]0.999908511998062[/C][C]0.000182976003875125[/C][C]9.14880019375624e-05[/C][/ROW]
[ROW][C]326[/C][C]0.99983368511037[/C][C]0.000332629779260523[/C][C]0.000166314889630262[/C][/ROW]
[ROW][C]327[/C][C]0.999717146441544[/C][C]0.000565707116911737[/C][C]0.000282853558455869[/C][/ROW]
[ROW][C]328[/C][C]0.999513947485239[/C][C]0.000972105029521206[/C][C]0.000486052514760603[/C][/ROW]
[ROW][C]329[/C][C]0.999174338491897[/C][C]0.00165132301620578[/C][C]0.000825661508102888[/C][/ROW]
[ROW][C]330[/C][C]0.998998272676159[/C][C]0.00200345464768205[/C][C]0.00100172732384102[/C][/ROW]
[ROW][C]331[/C][C]0.998294664346937[/C][C]0.00341067130612679[/C][C]0.00170533565306339[/C][/ROW]
[ROW][C]332[/C][C]0.997207141839954[/C][C]0.00558571632009286[/C][C]0.00279285816004643[/C][/ROW]
[ROW][C]333[/C][C]0.995968351544944[/C][C]0.00806329691011183[/C][C]0.00403164845505592[/C][/ROW]
[ROW][C]334[/C][C]0.995592316638619[/C][C]0.00881536672276275[/C][C]0.00440768336138137[/C][/ROW]
[ROW][C]335[/C][C]0.998531624355842[/C][C]0.00293675128831611[/C][C]0.00146837564415806[/C][/ROW]
[ROW][C]336[/C][C]0.999942802012115[/C][C]0.000114395975769801[/C][C]5.71979878849006e-05[/C][/ROW]
[ROW][C]337[/C][C]0.999986760771728[/C][C]2.64784565434976e-05[/C][C]1.32392282717488e-05[/C][/ROW]
[ROW][C]338[/C][C]0.999999838584183[/C][C]3.22831633310617e-07[/C][C]1.61415816655309e-07[/C][/ROW]
[ROW][C]339[/C][C]0.999999996209201[/C][C]7.58159858142672e-09[/C][C]3.79079929071336e-09[/C][/ROW]
[ROW][C]340[/C][C]0.999999997024752[/C][C]5.95049593250743e-09[/C][C]2.97524796625371e-09[/C][/ROW]
[ROW][C]341[/C][C]0.999999991738527[/C][C]1.65229461143207e-08[/C][C]8.26147305716034e-09[/C][/ROW]
[ROW][C]342[/C][C]0.999999961797029[/C][C]7.64059416697668e-08[/C][C]3.82029708348834e-08[/C][/ROW]
[ROW][C]343[/C][C]0.999999929385332[/C][C]1.41229336905446e-07[/C][C]7.06146684527232e-08[/C][/ROW]
[ROW][C]344[/C][C]0.999999794209615[/C][C]4.11580769051403e-07[/C][C]2.05790384525702e-07[/C][/ROW]
[ROW][C]345[/C][C]0.999999323877755[/C][C]1.3522444896388e-06[/C][C]6.76122244819398e-07[/C][/ROW]
[ROW][C]346[/C][C]0.999999468066366[/C][C]1.0638672687497e-06[/C][C]5.31933634374851e-07[/C][/ROW]
[ROW][C]347[/C][C]0.999997243186445[/C][C]5.51362710998822e-06[/C][C]2.75681355499411e-06[/C][/ROW]
[ROW][C]348[/C][C]0.999989262288141[/C][C]2.14754237182065e-05[/C][C]1.07377118591032e-05[/C][/ROW]
[ROW][C]349[/C][C]0.999958646264932[/C][C]8.27074701365488e-05[/C][C]4.13537350682744e-05[/C][/ROW]
[ROW][C]350[/C][C]0.999990086396503[/C][C]1.98272069930426e-05[/C][C]9.91360349652132e-06[/C][/ROW]
[ROW][C]351[/C][C]0.999939817828316[/C][C]0.000120364343367269[/C][C]6.01821716836345e-05[/C][/ROW]
[ROW][C]352[/C][C]0.999669682352602[/C][C]0.000660635294796685[/C][C]0.000330317647398343[/C][/ROW]
[ROW][C]353[/C][C]0.999887727210634[/C][C]0.000224545578731644[/C][C]0.000112272789365822[/C][/ROW]
[ROW][C]354[/C][C]0.999029485274074[/C][C]0.00194102945185182[/C][C]0.000970514725925911[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=185713&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=185713&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
60.01690540382644740.03381080765289480.983094596173553
70.06297081618662020.125941632373240.93702918381338
80.2468436518233990.4936873036467980.753156348176601
90.4251576974312170.8503153948624340.574842302568783
100.4677697141539980.9355394283079950.532230285846002
110.4610604074917320.9221208149834650.538939592508268
120.4003731797868990.8007463595737970.599626820213101
130.3211749075347320.6423498150694640.678825092465268
140.2523575018355230.5047150036710470.747642498164477
150.1908318487250840.3816636974501690.809168151274916
160.1470318482370290.2940636964740590.85296815176297
170.1102823192582640.2205646385165280.889717680741736
180.0838173456341060.1676346912682120.916182654365894
190.06230529238501490.124610584770030.937694707614985
200.05352937837540510.107058756750810.946470621624595
210.03909306240521170.07818612481042340.960906937594788
220.0260383838072330.0520767676144660.973961616192767
230.02077027735125250.04154055470250490.979229722648748
240.01945762723973510.03891525447947020.980542372760265
250.01847463327530530.03694926655061050.981525366724695
260.03091498465702250.06182996931404490.969085015342978
270.5894766904059470.8210466191881070.410523309594053
280.661703455467990.6765930890640190.33829654453201
290.6360117912398320.7279764175203360.363988208760168
300.5817763353056860.8364473293886280.418223664694314
310.5362036206834420.9275927586331170.463796379316558
320.5235085437677290.9529829124645420.476491456232271
330.4822019159035770.9644038318071530.517798084096423
340.4372929785073270.8745859570146530.562707021492673
350.3938151971873380.7876303943746750.606184802812662
360.3531914220119230.7063828440238460.646808577988077
370.3210498627125570.6420997254251140.678950137287443
380.2828687274311080.5657374548622160.717131272568892
390.2467918649998910.4935837299997810.753208135000109
400.2364208240892260.4728416481784520.763579175910774
410.2092724786555330.4185449573110660.790727521344467
420.1799861188554330.3599722377108670.820013881144567
430.1538561212275580.3077122424551160.846143878772442
440.1306163081866990.2612326163733970.869383691813301
450.1082074747502860.2164149495005710.891792525249714
460.08844054408943270.1768810881788650.911559455910567
470.07258518808909940.1451703761781990.927414811910901
480.07767041738037090.1553408347607420.922329582619629
490.08022848965331060.1604569793066210.919771510346689
500.09512700876469210.1902540175293840.904872991235308
510.1081913449750570.2163826899501140.891808655024943
520.1145327487252150.229065497450430.885467251274785
530.1151221761952490.2302443523904970.884877823804751
540.1058383314951450.211676662990290.894161668504855
550.09503814210566940.1900762842113390.904961857894331
560.0824799311766130.1649598623532260.917520068823387
570.06972928771882360.1394585754376470.930270712281176
580.06812850765537980.136257015310760.93187149234462
590.08235956115583810.1647191223116760.917640438844162
600.07805787675910880.1561157535182180.921942123240891
610.07045847595820890.1409169519164180.929541524041791
620.0586400263954640.1172800527909280.941359973604536
630.05087365721656020.101747314433120.94912634278344
640.04347813208863370.08695626417726730.956521867911366
650.03597082210959120.07194164421918250.964029177890409
660.02956292122553180.05912584245106370.970437078774468
670.0243595868653380.0487191737306760.975640413134662
680.02045144859257720.04090289718515430.979548551407423
690.01754680888176150.03509361776352290.982453191118238
700.01621571643937750.0324314328787550.983784283560623
710.01391084193243770.02782168386487550.986089158067562
720.01154749907813350.02309499815626710.988452500921866
730.009717578036593650.01943515607318730.990282421963406
740.008650691008994390.01730138201798880.991349308991006
750.008408994682119230.01681798936423850.991591005317881
760.007236807577222330.01447361515444470.992763192422778
770.006306092870514210.01261218574102840.993693907129486
780.005824960579065690.01164992115813140.994175039420934
790.005756685737223460.01151337147444690.994243314262777
800.006463291807137360.01292658361427470.993536708192863
810.005907362662143430.01181472532428690.994092637337857
820.005338944785341190.01067788957068240.994661055214659
830.004991994023220970.009983988046441940.995008005976779
840.004957355007152750.009914710014305490.995042644992847
850.005284794241173290.01056958848234660.994715205758827
860.006912274930053210.01382454986010640.993087725069947
870.008990870507211910.01798174101442380.991009129492788
880.01135695668567540.02271391337135070.988643043314325
890.01442553592003670.02885107184007340.985574464079963
900.01959075838762520.03918151677525040.980409241612375
910.02953027269474670.05906054538949340.970469727305253
920.03636720393957620.07273440787915230.963632796060424
930.04256462665645610.08512925331291220.957435373343544
940.05263773082402580.1052754616480520.947362269175974
950.06369479382526740.1273895876505350.936305206174733
960.07263100220478030.1452620044095610.92736899779522
970.08522791564789780.1704558312957960.914772084352102
980.1055337189599270.2110674379198550.894466281040073
990.1192450008119630.2384900016239250.880754999188037
1000.1425373567079930.2850747134159870.857462643292007
1010.1727187075066140.3454374150132270.827281292493386
1020.1916550700522280.3833101401044570.808344929947772
1030.2137961974662230.4275923949324460.786203802533777
1040.225973361693990.451946723387980.77402663830601
1050.2277158961499890.4554317922999780.772284103850011
1060.2314740498542350.4629480997084690.768525950145765
1070.2265662418055180.4531324836110350.773433758194482
1080.2150990176931090.4301980353862180.784900982306891
1090.2165613551010230.4331227102020450.783438644898977
1100.4657678955508850.931535791101770.534232104449115
1110.6049058448873530.7901883102252950.395094155112647
1120.642437788704460.7151244225910790.35756221129554
1130.6458299813900680.7083400372198640.354170018609932
1140.6421693418938490.7156613162123020.357830658106151
1150.6305062992399930.7389874015200140.369493700760007
1160.6063261736811760.7873476526376480.393673826318824
1170.5756530454464420.8486939091071160.424346954553558
1180.5442038096649390.9115923806701210.455796190335061
1190.5127473526378150.974505294724370.487252647362185
1200.4819897095996050.963979419199210.518010290400395
1210.4518671748564270.9037343497128540.548132825143573
1220.4206838901686470.8413677803372930.579316109831353
1230.3899022931475670.7798045862951340.610097706852433
1240.3603118741699730.7206237483399470.639688125830027
1250.3341529334616470.6683058669232930.665847066538353
1260.3079935830087480.6159871660174970.692006416991252
1270.2830094509155220.5660189018310440.716990549084478
1280.2629601426106310.5259202852212630.737039857389369
1290.2408890338792430.4817780677584860.759110966120757
1300.2189584994101440.4379169988202870.781041500589857
1310.2084560456162690.4169120912325380.791543954383731
1320.198943355141920.3978867102838390.80105664485808
1330.1823228046514780.3646456093029560.817677195348522
1340.1696547519914160.3393095039828320.830345248008584
1350.1594159195588830.3188318391177660.840584080441117
1360.1461087726921460.2922175453842930.853891227307854
1370.1339050880739530.2678101761479050.866094911926047
1380.1217660290414030.2435320580828060.878233970958597
1390.1094621193522320.2189242387044650.890537880647768
1400.09863071953122160.1972614390624430.901369280468778
1410.08956103758572650.1791220751714530.910438962414273
1420.08033933501659690.1606786700331940.919660664983403
1430.07136740441421280.1427348088284260.928632595585787
1440.06291778518720320.1258355703744060.937082214812797
1450.05536715995476280.1107343199095260.944632840045237
1460.05309530910901750.1061906182180350.946904690890983
1470.05122634844805940.1024526968961190.948773651551941
1480.04491122355308310.08982244710616620.955088776446917
1490.04143813821683820.08287627643367650.958561861783162
1500.03737190579979080.07474381159958160.962628094200209
1510.03546592573077490.07093185146154970.964534074269225
1520.03327632370870760.06655264741741510.966723676291292
1530.03051050184743480.06102100369486950.969489498152565
1540.02700127494663620.05400254989327240.972998725053364
1550.02307118407476270.04614236814952530.976928815925237
1560.01982341413363280.03964682826726550.980176585866367
1570.01723385287271590.03446770574543180.982766147127284
1580.01588196330405970.03176392660811930.98411803669594
1590.01355254278800790.02710508557601570.986447457211992
1600.01143133305520440.02286266611040870.988568666944796
1610.009710831532906650.01942166306581330.990289168467093
1620.008607083817234460.01721416763446890.991392916182766
1630.008538615384177390.01707723076835480.991461384615823
1640.008596816096384340.01719363219276870.991403183903616
1650.007181816389315370.01436363277863070.992818183610685
1660.006051384323853230.01210276864770650.993948615676147
1670.00502049526193660.01004099052387320.994979504738063
1680.004223793292463370.008447586584926730.995776206707537
1690.00362877709441720.007257554188834390.996371222905583
1700.003253381658807530.006506763317615060.996746618341192
1710.002690792523029640.005381585046059280.99730920747697
1720.00216850043622730.00433700087245460.997831499563773
1730.001754449545410320.003508899090820640.99824555045459
1740.001417464683897170.002834929367794330.998582535316103
1750.001158046067895430.002316092135790860.998841953932105
1760.0009765710405940840.001953142081188170.999023428959406
1770.0008285342871381710.001657068574276340.999171465712862
1780.000716623379743810.001433246759487620.999283376620256
1790.000635681039612060.001271362079224120.999364318960388
1800.0005817468826399670.001163493765279930.99941825311736
1810.0005137546707189360.001027509341437870.999486245329281
1820.0004421250443457810.0008842500886915630.999557874955654
1830.0003894575866167420.0007789151732334840.999610542413383
1840.0003468824052612390.0006937648105224780.999653117594739
1850.0003098284466743690.0006196568933487370.999690171553326
1860.0002788433540119140.0005576867080238270.999721156645988
1870.0002742142745082480.0005484285490164950.999725785725492
1880.0002889612309653230.0005779224619306450.999711038769035
1890.0002873883203318610.0005747766406637220.999712611679668
1900.0002829495398554550.000565899079710910.999717050460145
1910.0002873828008518590.0005747656017037180.999712617199148
1920.0003022593744705220.0006045187489410440.99969774062553
1930.0003279846570834910.0006559693141669810.999672015342916
1940.0003446989610852090.0006893979221704190.999655301038915
1950.0003663046202003270.0007326092404006530.9996336953798
1960.000386531521832710.000773063043665420.999613468478167
1970.0004074943277706440.0008149886555412870.999592505672229
1980.0004351586025122020.0008703172050244050.999564841397488
1990.000471656355841570.0009433127116831410.999528343644158
2000.0005833515900676420.001166703180135280.999416648409932
2010.000758094570491290.001516189140982580.999241905429509
2020.001206118931102080.002412237862204150.998793881068898
2030.001969697661141460.003939395322282910.998030302338859
2040.003090104119687980.006180208239375950.996909895880312
2050.004737943642410460.009475887284820930.99526205635759
2060.00937937103208470.01875874206416940.990620628967915
2070.05913467979894390.1182693595978880.940865320201056
2080.2309789186438210.4619578372876420.769021081356179
2090.5553727712495630.8892544575008750.444627228750438
2100.8545053701534570.2909892596930860.145494629846543
2110.8682073909318550.263585218136290.131792609068145
2120.9470871185127660.1058257629744670.0529128814872337
2130.958896522346490.08220695530702030.0411034776535101
2140.9654941977410670.06901160451786490.0345058022589325
2150.9738748569850290.05225028602994230.0261251430149712
2160.9790901141846450.04181977163071090.0209098858153555
2170.9855596941176520.02888061176469670.0144403058823484
2180.9865591582586230.02688168348275410.013440841741377
2190.9857086382185080.02858272356298390.014291361781492
2200.9847284171184780.03054316576304450.0152715828815223
2210.9831642004454780.03367159910904330.0168357995545216
2220.9820197102054550.03596057958908960.0179802897945448
2230.9808209839719990.03835803205600150.0191790160280008
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24913.75838125386547e-171.87919062693274e-17
25013.19459164802967e-181.59729582401483e-18
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25313.99344484812625e-191.99672242406312e-19
25418.58406383952805e-194.29203191976403e-19
25518.11729968940604e-194.05864984470302e-19
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25711.43283441754058e-187.16417208770291e-19
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26715.80447364964528e-162.90223682482264e-16
2680.9999999999999991.11688858205393e-155.58444291026965e-16
2690.9999999999999992.41933361784652e-151.20966680892326e-15
2700.9999999999999984.0566872895425e-152.02834364477125e-15
2710.9999999999999968.359669744767e-154.1798348723835e-15
2720.9999999999999911.79134030036395e-148.95670150181976e-15
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2790.9999999999999539.39154176217905e-144.69577088108953e-14
2800.9999999999999491.01917403179689e-135.09587015898443e-14
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2870.9999999999997764.48276508233953e-132.24138254116977e-13
2880.9999999999995419.18498332585928e-134.59249166292964e-13
2890.999999999999251.49949019843221e-127.49745099216107e-13
2900.9999999999992081.58383309597335e-127.91916547986674e-13
2910.999999999999181.64048550053432e-128.20242750267159e-13
2920.9999999999984953.01021017107878e-121.50510508553939e-12
2930.9999999999967386.52380740784707e-123.26190370392353e-12
2940.999999999996916.17941927737492e-123.08970963868746e-12
2950.9999999999959588.08399576522563e-124.04199788261282e-12
2960.9999999999930851.38294761600738e-116.91473808003691e-12
2970.9999999999871262.5747534513533e-111.28737672567665e-11
2980.9999999999802073.95855734611033e-111.97927867305516e-11
2990.9999999999630297.39422737926419e-113.69711368963209e-11
3000.9999999999184791.6304296893518e-108.15214844675901e-11
3010.9999999998243413.51317119761509e-101.75658559880754e-10
3020.9999999996406977.18606172838802e-103.59303086419401e-10
3030.9999999992688771.46224552785132e-097.3112276392566e-10
3040.9999999984649713.07005798586133e-091.53502899293066e-09
3050.9999999974136585.1726850377602e-092.5863425188801e-09
3060.9999999948607691.02784626455567e-085.13923132277837e-09
3070.9999999926346491.47307019263892e-087.36535096319458e-09
3080.99999998773142.45371994155413e-081.22685997077706e-08
3090.9999999769561154.60877695195833e-082.30438847597917e-08
3100.9999999527729029.44541952444921e-084.72270976222461e-08
3110.9999999035207171.92958566016418e-079.64792830082089e-08
3120.9999998045617333.90876533135901e-071.9543826656795e-07
3130.9999997304590795.39081843024158e-072.69540921512079e-07
3140.9999995239260389.52147923560821e-074.7607396178041e-07
3150.999999236459491.52708102094801e-067.63540510474005e-07
3160.9999991263526351.74729472977426e-068.73647364887128e-07
3170.9999985915008622.81699827561681e-061.40849913780841e-06
3180.9999978503047544.29939049292592e-062.14969524646296e-06
3190.9999967234352156.55312956935622e-063.27656478467811e-06
3200.9999949044393491.01911213020625e-055.09556065103126e-06
3210.9999921067801361.57864397275005e-057.89321986375024e-06
3220.9999849841510633.00316978741217e-051.50158489370609e-05
3230.9999714911363885.70177272231182e-052.85088636115591e-05
3240.9999490162438890.0001019675122213515.09837561106753e-05
3250.9999085119980620.0001829760038751259.14880019375624e-05
3260.999833685110370.0003326297792605230.000166314889630262
3270.9997171464415440.0005657071169117370.000282853558455869
3280.9995139474852390.0009721050295212060.000486052514760603
3290.9991743384918970.001651323016205780.000825661508102888
3300.9989982726761590.002003454647682050.00100172732384102
3310.9982946643469370.003410671306126790.00170533565306339
3320.9972071418399540.005585716320092860.00279285816004643
3330.9959683515449440.008063296910111830.00403164845505592
3340.9955923166386190.008815366722762750.00440768336138137
3350.9985316243558420.002936751288316110.00146837564415806
3360.9999428020121150.0001143959757698015.71979878849006e-05
3370.9999867607717282.64784565434976e-051.32392282717488e-05
3380.9999998385841833.22831633310617e-071.61415816655309e-07
3390.9999999962092017.58159858142672e-093.79079929071336e-09
3400.9999999970247525.95049593250743e-092.97524796625371e-09
3410.9999999917385271.65229461143207e-088.26147305716034e-09
3420.9999999617970297.64059416697668e-083.82029708348834e-08
3430.9999999293853321.41229336905446e-077.06146684527232e-08
3440.9999997942096154.11580769051403e-072.05790384525702e-07
3450.9999993238777551.3522444896388e-066.76122244819398e-07
3460.9999994680663661.0638672687497e-065.31933634374851e-07
3470.9999972431864455.51362710998822e-062.75681355499411e-06
3480.9999892622881412.14754237182065e-051.07377118591032e-05
3490.9999586462649328.27074701365488e-054.13537350682744e-05
3500.9999900863965031.98272069930426e-059.91360349652132e-06
3510.9999398178283160.0001203643433672696.01821716836345e-05
3520.9996696823526020.0006606352947966850.000330317647398343
3530.9998877272106340.0002245455787316440.000112272789365822
3540.9990294852740740.001941029451851820.000970514725925911







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=185713&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=185713&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=185713&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')
}