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Description of Statistical Computation

Author's title

Author*Unverified author*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationSun, 13 Nov 2011 16:56:59 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Nov/13/t1321221538gizwebjl5azgmti.htm/, Retrieved Tue, 04 Nov 2025 23:59:14 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=141880, Retrieved Tue, 04 Nov 2025 23:59:14 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact451

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Linear Regression Graphical Model Validation] [Colombia Coffee -...] [2008-02-26 10:22:06] [74be16979710d4c4e7c6647856088456]
- RMPD  [Multiple Regression] [WS6: Toturial ass...] [2010-11-05 12:08:30] [1fd136673b2a4fecb5c545b9b4a05d64]
-   P       [Multiple Regression] [Ws 6 Tutorial Ass...] [2011-11-13 21:56:59] [d41d8cd98f00b204e9800998ecf8427e] [Current]
- R P         [Multiple Regression] [Ws 6 Tutorial Ass...] [2011-11-13 22:00:46] [74be16979710d4c4e7c6647856088456]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
87.28	255
87.28	280.2
87.09	299.9
86.92	339.2
87.59	374.2
90.72	393.5
90.69	389.2
90.3	381.7
89.55	375.2
88.94	369
88.41	357.4
87.82	352.1
87.07	346.5
86.82	342.9
86.4	340.3
86.02	328.3
85.66	322.9
85.32	314.3
85	308.9
84.67	294
83.94	285.6
82.83	281.2
81.95	280.3
81.19	278.8
80.48	274.5
78.86	270.4
69.47	263.4
68.77	259.9
70.06	258
73.95	262.7
75.8	284.7
77.79	311.3
81.57	322.1
83.07	327
84.34	331.3
85.1	333.3
85.25	321.4
84.26	327
83.63	320
86.44	314.7
85.3	316.7
84.1	314.4
83.36	321.3
82.48	318.2
81.58	307.2
80.47	301.3
79.34	287.5
82.13	277.7
81.69	274.4
80.7	258.8
79.88	253.3
79.16	251
78.38	248.4
77.42	249.5
76.47	246.1
75.46	244.5
74.48	243.6
78.27	244
80.7	240.8
79.91	249.8
78.75	248
77.78	259.4
81.14	260.5
81.08	260.8
80.03	261.3
78.91	259.5
78.01	256.6
76.9	257.9
75.97	256.5
81.93	254.2
80.27	253.3
78.67	253.8
77.42	255.5
76.16	257.1
74.7	257.3
76.39	253.2
76.04	252.8
74.65	252
73.29	250.7
71.79	252.2
74.39	250
74.91	251
74.54	253.4
73.08	251.2
72.75	255.6
71.32	261.1
70.38	258.9
70.35	259.9
70.01	261.2
69.36	264.7
67.77	267.1
69.26	266.4
69.8	267.7
68.38	268.6
67.62	267.5
68.39	268.5
66.95	268.5
65.21	270.5
66.64	270.9
63.45	270.1
60.66	269.3
62.34	269.8
60.32	270.1
58.64	264.9
60.46	263.7
58.59	264.8
61.87	263.7
61.85	255.9
67.44	276.2
77.06	360.1
91.74	380.5
93.15	373.7
94.15	369.8
93.11	366.6
91.51	359.3
89.96	345.8
88.16	326.2
86.98	324.5
88.03	328.1
86.24	327.5
84.65	324.4
83.23	316.5
81.7	310.9
80.25	301.5
78.8	291.7
77.51	290.4
76.2	287.4
75.04	277.7
74	281.6
75.49	288
77.14	276
76.15	272.9
76.27	283
78.19	283.3
76.49	276.8
77.31	284.5
76.65	282.7
74.99	281.2
73.51	287.4
72.07	283.1
70.59	284
71.96	285.5
76.29	289.2
74.86	292.5
74.93	296.4
71.9	305.2
71.01	303.9
77.47	311.5
75.78	316.3
76.6	316.7
76.07	322.5
74.57	317.1
73.02	309.8
72.65	303.8
73.16	290.3
71.53	293.7
69.78	291.7
67.98	296.5
69.96	289.1
72.16	288.5
70.47	293.8
68.86	297.7
67.37	305.4
65.87	302.7
72.16	302.5
71.34	303
69.93	294.5
68.44	294.1
67.16	294.5
66.01	297.1
67.25	289.4
70.91	292.4
69.75	287.9
68.59	286.6
67.48	280.5
66.31	272.4
64.81	269.2
66.58	270.6
65.97	267.3
64.7	262.5
64.7	266.8
60.94	268.8
59.08	263.1
58.42	261.2
57.77	266
57.11	262.5
53.31	265.2
49.96	261.3
49.4	253.7
48.84	249.2
48.3	239.1
47.74	236.4
47.24	235.2
46.76	245.2
46.29	246.2
48.9	247.7
49.23	251.4
48.53	253.3
48.03	254.8
54.34	250
53.79	249.3
53.24	241.5
52.96	243.3
52.17	248
51.7	253
58.55	252.9
78.2	251.5
77.03	251.6
76.19	253.5
77.15	259.8
75.87	334.1
95.47	448
109.67	445.8
112.28	445
112.01	448.2
107.93	438.2
105.96	439.8
105.06	423.4
102.98	410.8
102.2	408.4
105.23	406.7
101.85	405.9
99.89	402.7
96.23	405.1
94.76	399.6
91.51	386.5
91.63	381.4
91.54	375.2
85.23	357.7
87.83	359
87.38	355
84.44	352.7
85.19	344.4
84.03	343.8
86.73	338
102.52	339
104.45	333.3
106.98	334.4
107.02	328.3
99.26	330.7
94.45	330
113.44	331.6
157.33	351.2
147.38	389.4
171.89	410.9
171.95	442.8
132.71	462.8
126.02	466.9
121.18	461.7
115.45	439.2
110.48	430.3
117.85	416.1
117.63	402.5
124.65	397.3
109.59	403.3
111.27	395.9
99.78	387.8
98.21	378.6
99.2	377.1
97.97	370.4
89.55	362
87.91	350.3
93.34	348.2
94.42	344.6
93.2	343.5
90.29	342.8
91.46	347.6
89.98	346.6
88.35	349.5
88.41	342.1
82.44	342
79.89	342.8
75.69	339.3
75.66	348.2
84.5	333.7
96.73	334.7
87.48	354
82.39	367.7
83.48	363.3
79.31	358.4
78.16	353.1
72.77	343.1
72.45	344.6
68.46	344.4
67.62	333.9
68.76	331.7
70.07	324.3
68.55	321.2
65.3	322.4
58.96	321.7
59.17	320.5
62.37	312.8
66.28	309.7
55.62	315.6
55.23	309.7
55.85	304.6
56.75	302.5
50.89	301.5
53.88	298.8
52.95	291.3
55.08	293.6
53.61	294.6
58.78	285.9
61.85	297.6
55.91	301.1
53.32	293.8
46.41	297.7
44.57	292.9
50	292.1
50	287.2
53.36	288.2
46.23	283.8
50.45	299.9
49.07	292.4
45.85	293.3
48.45	300.8
49.96	293.7
46.53	293.1
50.51	294.4
47.58	292.1
48.05	291.9
46.84	282.5
47.67	277.9
49.16	287.5
55.54	289.2
55.82	285.6
58.22	293.2
56.19	290.8
57.77	283.1
63.19	275
54.76	287.8
55.74	287.8
62.54	287.4
61.39	284
69.6	277.8
79.23	277.6
80	304.9
93.68	294
107.63	300.9
100.18	324
97.3	332.9
90.45	341.6
80.64	333.4
80.58	348.2
75.82	344.7
85.59	344.7
89.35	329.3
89.42	323.5
104.73	323.2
95.32	317.4
89.27	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

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time9 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 9 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=141880&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]9 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=141880&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=141880&T=0

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


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time9 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net






Multiple Linear Regression - Estimated Regression Equation
USA[t] = + 165.550097611687 + 1.84168315889568Columbia[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
USA[t] =  +  165.550097611687 +  1.84168315889568Columbia[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=141880&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]USA[t] =  +  165.550097611687 +  1.84168315889568Columbia[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=141880&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=141880&T=1

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


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

Multiple Linear Regression - Estimated Regression Equation
USA[t] = + 165.550097611687 + 1.84168315889568Columbia[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)165.5500976116877.74053521.387400
Columbia1.841683158895680.0970118.984400

\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) & 165.550097611687 & 7.740535 & 21.3874 & 0 & 0 \tabularnewline
Columbia & 1.84168315889568 & 0.09701 & 18.9844 & 0 & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=141880&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]165.550097611687[/C][C]7.740535[/C][C]21.3874[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]Columbia[/C][C]1.84168315889568[/C][C]0.09701[/C][C]18.9844[/C][C]0[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=141880&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=141880&T=2

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


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

Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)165.5500976116877.74053521.387400
Columbia1.841683158895680.0970118.984400






Multiple Linear Regression - Regression Statistics
Multiple R0.708290117736513
R-squared0.501674890883204
Adjusted R-squared0.500282921304665
F-TEST (value)360.406505011356
F-TEST (DF numerator)1
F-TEST (DF denominator)358
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation34.6506677711257
Sum Squared Residuals429839.422160604

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.708290117736513 \tabularnewline
R-squared & 0.501674890883204 \tabularnewline
Adjusted R-squared & 0.500282921304665 \tabularnewline
F-TEST (value) & 360.406505011356 \tabularnewline
F-TEST (DF numerator) & 1 \tabularnewline
F-TEST (DF denominator) & 358 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 34.6506677711257 \tabularnewline
Sum Squared Residuals & 429839.422160604 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=141880&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.708290117736513[/C][/ROW]
[ROW][C]R-squared[/C][C]0.501674890883204[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.500282921304665[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]360.406505011356[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]1[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]358[/C][/ROW]
[ROW][C]p-value[/C][C]0[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]34.6506677711257[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]429839.422160604[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=141880&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=141880&T=3

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


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

Multiple Linear Regression - Regression Statistics
Multiple R0.708290117736513
R-squared0.501674890883204
Adjusted R-squared0.500282921304665
F-TEST (value)360.406505011356
F-TEST (DF numerator)1
F-TEST (DF denominator)358
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation34.6506677711257
Sum Squared Residuals429839.422160604






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
1255326.292203720102-71.2922037201019
2280.2326.292203720102-46.0922037201021
3299.9325.942283919912-26.0422839199118
4339.2325.62919778289913.5708022171005
5374.2326.8631254993647.3368745006404
6393.5332.62759378670360.8724062132969
7389.2332.57234329193656.6276567080638
8381.7331.85408685996749.8459131400331
9375.2330.47282449079544.7271755092048
10369329.34939776386939.6506022361312
11357.4328.37330568965429.0266943103459
12352.1327.28671262590624.8132873740944
13346.5325.90545025673420.5945497432662
14342.9325.4450294670117.4549705329901
15340.3324.67152254027415.6284774597263
16328.3323.9716829398934.32831706010664
17322.9323.308677002691-0.408677002690947
18314.3322.682504728666-8.38250472866637
19308.9322.09316611782-13.1931661178198
20294321.485410675384-27.4854106753842
21285.6320.14098196939-34.5409819693903
22281.2318.096713663016-36.8967136630162
23280.3316.476032483188-36.1760324831879
24278.8315.076353282427-36.2763532824272
25274.5313.768758239611-39.2687582396113
26270.4310.7852315222-40.3852315222003
27263.4293.49182666017-30.0918266601698
28259.9292.202648448943-32.3026484489428
29258294.578419723918-36.5784197239183
30262.7301.742567212022-39.0425672120225
31284.7305.149681055979-20.4496810559795
32311.3308.8146305421822.4853694578181
33322.1315.7761928828086.32380711719245
34327318.5387176211518.4612823788489
35331.3320.87765523294910.4223447670514
36333.3322.27733443370911.0226655662907
37321.4322.553586907544-1.15358690754372
38327320.7303205802376.26967941976302
39320319.5700601901330.429939809867317
40314.7324.74518986663-10.0451898666296
41316.7322.645671065489-5.94567106548849
42314.4320.435651274814-6.03565127481367
43321.3319.0728057372312.22719426276916
44318.2317.4521245574030.747875442597327
45307.2315.794609714397-8.59460971439655
46301.3313.750341408022-12.4503414080223
47287.5311.66923943847-24.1692394384702
48277.7316.807535451789-39.1075354517892
49274.4315.997194861875-41.5971948618751
50258.8314.173928534568-55.3739285345683
51253.3312.663748344274-59.3637483442739
52251311.337736469869-60.337736469869
53248.4309.90122360593-61.5012236059303
54249.5308.13320777339-58.6332077733905
55246.1306.38360877244-60.2836087724396
56244.5304.523508781955-60.0235087819549
57243.6302.718659286237-59.1186592862372
58244309.698638458452-65.6986384584518
59240.8314.173928534568-73.3739285345683
60249.8312.718998839041-62.9189988390407
61248310.582646374722-62.5826463747217
62259.4308.796213710593-49.396213710593
63260.5314.984269124482-54.4842691244824
64260.8314.873768134949-54.0737681349487
65261.3312.940000818108-51.6400008181082
66259.5310.877315680145-51.3773156801451
67256.6309.219800837139-52.6198008371389
68257.9307.175532530765-49.2755325307648
69256.5305.462767192992-48.9627671929917
70254.2316.43919882001-62.23919882001
71253.3313.382004776243-60.0820047762432
72253.8310.43531172201-56.6353117220101
73255.5308.13320777339-52.6332077733905
74257.1305.812686993182-48.7126869931819
75257.3303.123829581194-45.8238295811942
76253.2306.236274119728-53.0362741197279
77252.8305.591685014114-52.7916850141144
78252303.031745423249-51.0317454232495
79250.7300.527056327151-49.8270563271513
80252.2297.764531588808-45.5645315888078
81250302.552907801937-52.5529078019366
82251303.510583044562-52.5105830445623
83253.4302.829160275771-49.4291602757709
84251.2300.140302863783-48.9403028637832
85255.6299.532547421348-43.9325474213476
86261.1296.898940504127-35.7989405041268
87258.9295.167758334765-36.2677583347649
88259.9295.112507839998-35.212507839998
89261.2294.486335565973-33.2863355659735
90264.7293.289241512691-28.5892415126913
91267.1290.360965290047-23.2609652900471
92266.4293.105073196802-26.7050731968017
93267.7294.099582102605-26.3995821026054
94268.6291.484392016974-22.8843920169735
95267.5290.084712816213-22.5847128162128
96268.5291.502808848562-23.0028088485625
97268.5288.850785099753-20.3507850997527
98270.5285.646256403274-15.1462564032742
99270.9288.279863320495-17.379863320495
100270.1282.404894043618-12.3048940436178
101269.3277.266598030299-7.96659803029881
102269.8280.360625737244-10.5606257372436
103270.1276.640425756274-6.54042575627427
104264.9273.54639804933-8.64639804932957
105263.7276.89826139852-13.1982613985197
106264.8273.454313891385-8.65431389138475
107263.7279.495034652563-15.7950346525626
108255.9279.458200989385-23.5582009893847
109276.2289.753209847612-13.5532098476116
110360.1307.47020183618852.629798163812
111380.5334.50611060877745.9938893912233
112373.7337.1028838628236.5971161371804
113369.8338.94456702171530.8554329782847
114366.6337.02921653646429.5707834635363
115359.3334.08252348223125.2174765177693
116345.8331.22791458594214.5720854140577
117326.2327.91288489993-1.71288489993015
118324.5325.739698772433-1.23969877243324
119328.1327.6734660892740.426533910726318
120327.5324.376853234853.12314676514958
121324.4321.4485770122062.95142298779368
122316.5318.833386926574-2.33338692657442
123310.9316.015611693464-5.11561169346405
124301.5313.345171113065-11.8451711130653
125291.7310.674730532667-18.9747305326665
126290.4308.298959257691-17.8989592576911
127287.4305.886354319538-18.4863543195378
128277.7303.750001855219-26.0500018552188
129281.6301.834651369967-20.2346513699672
130288304.578759276722-16.5787592767218
131276307.6175364889-31.6175364888997
132272.9305.794270161593-32.894270161593
133283306.01527214066-23.0152721406604
134283.3309.55130380574-26.2513038057402
135276.8306.420442435617-29.6204424356175
136284.5307.930622625912-23.430622625912
137282.7306.715111741041-24.0151117410408
138281.2303.657917697274-22.457917697274
139287.4300.932226622108-13.5322266221084
140283.1298.280202873299-15.1802028732985
141284295.554511798133-11.554511798133
142285.5298.07761772582-12.57761772582
143289.2306.052105803838-16.8521058038384
144292.5303.418498886618-10.9184988866175
145296.4303.54741670774-7.14741670774027
146305.2297.9671167362867.23288326371366
147303.9296.3280187248697.57198127513081
148311.5308.2252919313353.27470806866473
149316.3305.11284739280211.1871526071984
150316.7306.62302758309610.076972416904
151322.5305.64693550888116.8530644911187
152317.1302.88441077053814.2155892294622
153309.8300.0298018742499.77019812575054
154303.8299.3483791054584.45162089454192
155290.3300.287637516495-9.98763751649486
156293.7297.285693967495-3.58569396749493
157291.7294.062748439427-2.36274843942748
158296.5290.7477187534155.75228124658476
159289.1294.394251408029-5.29425140802865
160288.5298.445954357599-9.94595435759919
161293.8295.333509819066-1.53350981906547
162297.7292.3683999332435.33160006675655
163305.4289.62429202648915.7757079735111
164302.7286.86176728814515.8382327118546
165302.5298.4459543575994.05404564240081
166303296.9357741673056.06422583269526
167294.5294.3390009132620.160999086738169
168294.1291.5948930065072.50510699349278
169294.5289.2375385631215.26246143687923
170297.1287.1196029303919.98039706960928
171289.4289.403290047421-0.00329004742140781
172292.4296.14385040898-3.7438504089796
173287.9294.007497944661-6.10749794466062
174286.6291.871145480342-5.27114548034158
175280.5289.826877173967-9.3268771739674
176272.4287.672107878059-15.2721078780595
177269.2284.909583139716-15.7095831397159
178270.6288.169362330961-17.5693623309612
179267.3287.045935604035-19.7459356040349
180262.5284.706997992237-22.2069979922374
181266.8284.706997992237-17.9069979922374
182268.8277.78226931479-8.9822693147896
183263.1274.356738639244-11.2567386392436
184261.2273.141227754372-11.9412277543725
185266271.94413370109-5.94413370109031
186262.5270.728622816219-8.22862281621915
187265.2263.7302268124161.46977318758444
188261.3257.5605882301153.739411769885
189253.7256.529245661133-2.82924566113343
190249.2255.497903092152-6.29790309215186
191239.1254.503394186348-15.4033941863482
192236.4253.472051617367-17.0720516173666
193235.2252.551210037919-17.3512100379188
194245.2251.667202121649-6.46720212164882
195246.2250.801611036968-4.60161103696785
196247.7255.608404081686-7.90840408168559
197251.4256.216159524121-4.81615952412114
198253.3254.926981312894-1.62698131289416
199254.8254.0061397334460.793860266553678
200250265.627160466078-15.6271604660781
201249.3264.614234728685-15.3142347286855
202241.5263.601308991293-22.1013089912929
203243.3263.085637706802-19.785637706802
204248261.630708011274-13.6307080112745
205253260.765116926594-7.7651169265935
206252.9273.380646565029-20.4806465650289
207251.5309.569720637329-58.0697206373291
208251.6307.414951341421-55.8149513414212
209253.5305.867937487949-52.3679374879488
210259.8307.635953320489-47.8359533204887
211334.1305.27859887710228.8214011228978
212448341.375588791458106.624411208542
213445.8367.52748964777678.2725103522237
214445372.33428269249472.665717307506
215448.2371.83702823959276.3629717604078
216438.2364.32296095129873.8770390487022
217439.8360.69484512827379.1051548717267
218423.4359.03733028526764.3626697147328
219410.8355.20662931476455.5933706852358
220408.4353.77011645082654.6298835491744
221406.7359.35041642227947.3495835777205
222405.9353.12552734521252.7744726547879
223402.7349.51582835377653.1841716462235
224405.1342.77526799221862.3247320077817
225399.6340.06799374864259.5320062513583
226386.5334.08252348223152.4174765177693
227381.4334.30352546129847.0964745387018
228375.2334.13777397699841.0622260230024
229357.7322.51675324436635.1832467556342
230359327.30512945749531.6948705425054
231355326.47637203599228.5236279640085
232352.7321.06182354883831.6381764511618
233344.4322.4430859180121.95691408199
234343.8320.30673345369123.493266546309
235338325.27927798270912.7207220172907
236339354.359455061672-15.3594550616722
237333.3357.913903558341-24.6139035583408
238334.4362.573361950347-28.1733619503469
239328.3362.647029276703-34.3470292767027
240330.7348.355567963672-17.6555679636723
241330339.497071969384-9.497071969384
242331.6374.470635156813-42.870635156813
243351.2455.302109000745-104.102109000745
244389.4436.977361569733-47.5773615697326
245410.9482.117015794266-71.2170157942658
246442.8482.2275167838-39.4275167837995
247462.8409.95986962873352.8401303712671
248466.9397.63900929572169.2609907042792
249461.7388.72526280666672.9747371933343
250439.2378.17241830619361.0275816938066
251430.3369.01925300648261.2807469935182
252416.1382.59245788754333.507542112457
253402.5382.18728759258620.3127124074141
254397.3395.1159033680342.18409663196633
255403.3367.38015499506535.9198450049353
256395.9370.47418270200925.4258172979906
257387.8349.31324320629838.486756793702
258378.6346.42180064683232.1781993531683
259377.1348.24506697413928.8549330258615
260370.4345.97979668869724.4202033113032
261362330.47282449079531.5271755092049
262350.3327.45246411020622.8475358897938
263348.2337.4528036630110.7471963369902
264344.6339.4418214746175.1581785253829
265343.5337.1949680207646.30503197923561
266342.8331.83567002837810.964329971622
267347.6333.99043932428613.6095606757141
268346.6331.2647482491215.3352517508797
269349.5328.2628047001221.2371952998797
270342.1328.37330568965413.726694310346
271342317.37845723104724.6215427689532
272342.8312.68216517586330.1178348241372
273339.3304.94709590850134.3529040914991
274348.2304.89184541373443.3081545862659
275333.7321.17232453837212.5276754616281
276334.7343.696109571666-8.99610957166617
277354326.66054035188127.3394596481189
278367.7317.28637307310250.4136269268979
279363.3319.29380771629844.0061922837017
280358.4311.61398894370346.7860110562966
281353.1309.49605331097343.6039466890267
282343.1299.56938108452643.5306189154745
283344.6298.98004247367945.6199575263211
284344.4291.63172666968552.7682733303148
285333.9290.08471281621343.8152871837872
286331.7292.18423161735439.5157683826461
287324.3294.59683655550729.7031634444928
288321.2291.79747815398629.4025218460142
289322.4285.81200788757536.5879921124252
290321.7274.13573666017647.5642633398238
291320.5274.52249012354445.9775098764557
292312.8280.4158762320132.3841237679896
293309.7287.61685738329322.0831426167074
294315.6267.98451490946547.6154850905355
295309.7267.26625847749542.4337415225047
296304.6268.40810203601136.1918979639894
297302.5270.06561687901732.4343831209833
298301.5259.27335356788842.226646432112
299298.8264.77998621298634.0200137870139
300291.3263.06722087521328.2327791247869
301293.6266.99000600366126.6099939963391
302294.6264.28273176008430.3172682399158
303285.9273.80423369157512.095766308425
304297.6279.45820098938518.1417990106153
305301.1268.51860302554432.5813969744557
306293.8263.74864364400530.0513563559955
307297.7251.02261301603546.6773869839647
308292.9247.63391600366745.2660839963327
309292.1257.63425555647134.4657444435292
310287.2257.63425555647129.5657444435292
311288.2263.8223109703624.3776890296397
312283.8250.69111004743433.1088899525659
313299.9258.46301297797441.4369870220261
314292.4255.92149021869836.4785097813021
315293.3249.99127044705443.3087295529463
316300.8254.77964666018346.0203533398175
317293.7257.56058823011536.139411769885
318293.1251.24361499510341.8563850048972
319294.4258.57351396750835.8264860324924
320292.1253.17738231194338.9226176880568
321291.9254.04297339662437.8570266033757
322282.5251.8145367743630.6854632256395
323277.9253.34313379624424.5568662037561
324287.5256.08724170299831.4127582970016
325289.2267.83718025675321.3628197432471
326285.6268.35285154124417.2471484587563
327293.2272.77289112259320.4271088774066
328290.8269.03427431003521.7657256899649
329283.1271.9441337010911.1558662989097
330275281.926056422305-6.9260564223049
331287.8266.40066739281421.3993326071857
332287.8268.20551688853219.5944831114679
333287.4280.7289623690236.67103763097727
334284278.6110267362935.38897326370732
335277.8293.731245470826-15.9312454708262
336277.6311.466654290992-33.8666542909917
337304.9312.884750323341-7.98475032334138
338294338.078975937034-44.0789759370343
339300.9363.770456003629-62.8704560036291
340324350.049916469856-26.0499164698563
341332.9344.745868972237-11.8458689722367
342341.6332.1303393338019.46966066619876
343333.4314.06342754503519.3365724549654
344348.2313.95292655550134.2470734444991
345344.7305.18651471915739.5134852808426
346344.7323.17975918156821.5202408184318
347329.3330.104487859016-0.804487859015983
348323.5330.233405680139-6.7334056801387
349323.2358.429574842832-35.2295748428316
350317.4341.099336317623-23.6993363176232
351330.1329.9571532063040.142846793695679
352329.2332.111922502212-2.91192250221231
353334.9325.7212819408449.1787180591557
354315.8312.8479166601632.95208333983656
355315.4315.1316037771940.268396222805889
356319.6326.421121541225-6.8211215412246
357317.3319.588477021722-2.28847702172164
358313.8316.97328693609-3.17328693608976
359315.8339.404987811439-23.6049878114392
360311.3353.733282787648-42.4332827876476

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 255 & 326.292203720102 & -71.2922037201019 \tabularnewline
2 & 280.2 & 326.292203720102 & -46.0922037201021 \tabularnewline
3 & 299.9 & 325.942283919912 & -26.0422839199118 \tabularnewline
4 & 339.2 & 325.629197782899 & 13.5708022171005 \tabularnewline
5 & 374.2 & 326.86312549936 & 47.3368745006404 \tabularnewline
6 & 393.5 & 332.627593786703 & 60.8724062132969 \tabularnewline
7 & 389.2 & 332.572343291936 & 56.6276567080638 \tabularnewline
8 & 381.7 & 331.854086859967 & 49.8459131400331 \tabularnewline
9 & 375.2 & 330.472824490795 & 44.7271755092048 \tabularnewline
10 & 369 & 329.349397763869 & 39.6506022361312 \tabularnewline
11 & 357.4 & 328.373305689654 & 29.0266943103459 \tabularnewline
12 & 352.1 & 327.286712625906 & 24.8132873740944 \tabularnewline
13 & 346.5 & 325.905450256734 & 20.5945497432662 \tabularnewline
14 & 342.9 & 325.44502946701 & 17.4549705329901 \tabularnewline
15 & 340.3 & 324.671522540274 & 15.6284774597263 \tabularnewline
16 & 328.3 & 323.971682939893 & 4.32831706010664 \tabularnewline
17 & 322.9 & 323.308677002691 & -0.408677002690947 \tabularnewline
18 & 314.3 & 322.682504728666 & -8.38250472866637 \tabularnewline
19 & 308.9 & 322.09316611782 & -13.1931661178198 \tabularnewline
20 & 294 & 321.485410675384 & -27.4854106753842 \tabularnewline
21 & 285.6 & 320.14098196939 & -34.5409819693903 \tabularnewline
22 & 281.2 & 318.096713663016 & -36.8967136630162 \tabularnewline
23 & 280.3 & 316.476032483188 & -36.1760324831879 \tabularnewline
24 & 278.8 & 315.076353282427 & -36.2763532824272 \tabularnewline
25 & 274.5 & 313.768758239611 & -39.2687582396113 \tabularnewline
26 & 270.4 & 310.7852315222 & -40.3852315222003 \tabularnewline
27 & 263.4 & 293.49182666017 & -30.0918266601698 \tabularnewline
28 & 259.9 & 292.202648448943 & -32.3026484489428 \tabularnewline
29 & 258 & 294.578419723918 & -36.5784197239183 \tabularnewline
30 & 262.7 & 301.742567212022 & -39.0425672120225 \tabularnewline
31 & 284.7 & 305.149681055979 & -20.4496810559795 \tabularnewline
32 & 311.3 & 308.814630542182 & 2.4853694578181 \tabularnewline
33 & 322.1 & 315.776192882808 & 6.32380711719245 \tabularnewline
34 & 327 & 318.538717621151 & 8.4612823788489 \tabularnewline
35 & 331.3 & 320.877655232949 & 10.4223447670514 \tabularnewline
36 & 333.3 & 322.277334433709 & 11.0226655662907 \tabularnewline
37 & 321.4 & 322.553586907544 & -1.15358690754372 \tabularnewline
38 & 327 & 320.730320580237 & 6.26967941976302 \tabularnewline
39 & 320 & 319.570060190133 & 0.429939809867317 \tabularnewline
40 & 314.7 & 324.74518986663 & -10.0451898666296 \tabularnewline
41 & 316.7 & 322.645671065489 & -5.94567106548849 \tabularnewline
42 & 314.4 & 320.435651274814 & -6.03565127481367 \tabularnewline
43 & 321.3 & 319.072805737231 & 2.22719426276916 \tabularnewline
44 & 318.2 & 317.452124557403 & 0.747875442597327 \tabularnewline
45 & 307.2 & 315.794609714397 & -8.59460971439655 \tabularnewline
46 & 301.3 & 313.750341408022 & -12.4503414080223 \tabularnewline
47 & 287.5 & 311.66923943847 & -24.1692394384702 \tabularnewline
48 & 277.7 & 316.807535451789 & -39.1075354517892 \tabularnewline
49 & 274.4 & 315.997194861875 & -41.5971948618751 \tabularnewline
50 & 258.8 & 314.173928534568 & -55.3739285345683 \tabularnewline
51 & 253.3 & 312.663748344274 & -59.3637483442739 \tabularnewline
52 & 251 & 311.337736469869 & -60.337736469869 \tabularnewline
53 & 248.4 & 309.90122360593 & -61.5012236059303 \tabularnewline
54 & 249.5 & 308.13320777339 & -58.6332077733905 \tabularnewline
55 & 246.1 & 306.38360877244 & -60.2836087724396 \tabularnewline
56 & 244.5 & 304.523508781955 & -60.0235087819549 \tabularnewline
57 & 243.6 & 302.718659286237 & -59.1186592862372 \tabularnewline
58 & 244 & 309.698638458452 & -65.6986384584518 \tabularnewline
59 & 240.8 & 314.173928534568 & -73.3739285345683 \tabularnewline
60 & 249.8 & 312.718998839041 & -62.9189988390407 \tabularnewline
61 & 248 & 310.582646374722 & -62.5826463747217 \tabularnewline
62 & 259.4 & 308.796213710593 & -49.396213710593 \tabularnewline
63 & 260.5 & 314.984269124482 & -54.4842691244824 \tabularnewline
64 & 260.8 & 314.873768134949 & -54.0737681349487 \tabularnewline
65 & 261.3 & 312.940000818108 & -51.6400008181082 \tabularnewline
66 & 259.5 & 310.877315680145 & -51.3773156801451 \tabularnewline
67 & 256.6 & 309.219800837139 & -52.6198008371389 \tabularnewline
68 & 257.9 & 307.175532530765 & -49.2755325307648 \tabularnewline
69 & 256.5 & 305.462767192992 & -48.9627671929917 \tabularnewline
70 & 254.2 & 316.43919882001 & -62.23919882001 \tabularnewline
71 & 253.3 & 313.382004776243 & -60.0820047762432 \tabularnewline
72 & 253.8 & 310.43531172201 & -56.6353117220101 \tabularnewline
73 & 255.5 & 308.13320777339 & -52.6332077733905 \tabularnewline
74 & 257.1 & 305.812686993182 & -48.7126869931819 \tabularnewline
75 & 257.3 & 303.123829581194 & -45.8238295811942 \tabularnewline
76 & 253.2 & 306.236274119728 & -53.0362741197279 \tabularnewline
77 & 252.8 & 305.591685014114 & -52.7916850141144 \tabularnewline
78 & 252 & 303.031745423249 & -51.0317454232495 \tabularnewline
79 & 250.7 & 300.527056327151 & -49.8270563271513 \tabularnewline
80 & 252.2 & 297.764531588808 & -45.5645315888078 \tabularnewline
81 & 250 & 302.552907801937 & -52.5529078019366 \tabularnewline
82 & 251 & 303.510583044562 & -52.5105830445623 \tabularnewline
83 & 253.4 & 302.829160275771 & -49.4291602757709 \tabularnewline
84 & 251.2 & 300.140302863783 & -48.9403028637832 \tabularnewline
85 & 255.6 & 299.532547421348 & -43.9325474213476 \tabularnewline
86 & 261.1 & 296.898940504127 & -35.7989405041268 \tabularnewline
87 & 258.9 & 295.167758334765 & -36.2677583347649 \tabularnewline
88 & 259.9 & 295.112507839998 & -35.212507839998 \tabularnewline
89 & 261.2 & 294.486335565973 & -33.2863355659735 \tabularnewline
90 & 264.7 & 293.289241512691 & -28.5892415126913 \tabularnewline
91 & 267.1 & 290.360965290047 & -23.2609652900471 \tabularnewline
92 & 266.4 & 293.105073196802 & -26.7050731968017 \tabularnewline
93 & 267.7 & 294.099582102605 & -26.3995821026054 \tabularnewline
94 & 268.6 & 291.484392016974 & -22.8843920169735 \tabularnewline
95 & 267.5 & 290.084712816213 & -22.5847128162128 \tabularnewline
96 & 268.5 & 291.502808848562 & -23.0028088485625 \tabularnewline
97 & 268.5 & 288.850785099753 & -20.3507850997527 \tabularnewline
98 & 270.5 & 285.646256403274 & -15.1462564032742 \tabularnewline
99 & 270.9 & 288.279863320495 & -17.379863320495 \tabularnewline
100 & 270.1 & 282.404894043618 & -12.3048940436178 \tabularnewline
101 & 269.3 & 277.266598030299 & -7.96659803029881 \tabularnewline
102 & 269.8 & 280.360625737244 & -10.5606257372436 \tabularnewline
103 & 270.1 & 276.640425756274 & -6.54042575627427 \tabularnewline
104 & 264.9 & 273.54639804933 & -8.64639804932957 \tabularnewline
105 & 263.7 & 276.89826139852 & -13.1982613985197 \tabularnewline
106 & 264.8 & 273.454313891385 & -8.65431389138475 \tabularnewline
107 & 263.7 & 279.495034652563 & -15.7950346525626 \tabularnewline
108 & 255.9 & 279.458200989385 & -23.5582009893847 \tabularnewline
109 & 276.2 & 289.753209847612 & -13.5532098476116 \tabularnewline
110 & 360.1 & 307.470201836188 & 52.629798163812 \tabularnewline
111 & 380.5 & 334.506110608777 & 45.9938893912233 \tabularnewline
112 & 373.7 & 337.10288386282 & 36.5971161371804 \tabularnewline
113 & 369.8 & 338.944567021715 & 30.8554329782847 \tabularnewline
114 & 366.6 & 337.029216536464 & 29.5707834635363 \tabularnewline
115 & 359.3 & 334.082523482231 & 25.2174765177693 \tabularnewline
116 & 345.8 & 331.227914585942 & 14.5720854140577 \tabularnewline
117 & 326.2 & 327.91288489993 & -1.71288489993015 \tabularnewline
118 & 324.5 & 325.739698772433 & -1.23969877243324 \tabularnewline
119 & 328.1 & 327.673466089274 & 0.426533910726318 \tabularnewline
120 & 327.5 & 324.37685323485 & 3.12314676514958 \tabularnewline
121 & 324.4 & 321.448577012206 & 2.95142298779368 \tabularnewline
122 & 316.5 & 318.833386926574 & -2.33338692657442 \tabularnewline
123 & 310.9 & 316.015611693464 & -5.11561169346405 \tabularnewline
124 & 301.5 & 313.345171113065 & -11.8451711130653 \tabularnewline
125 & 291.7 & 310.674730532667 & -18.9747305326665 \tabularnewline
126 & 290.4 & 308.298959257691 & -17.8989592576911 \tabularnewline
127 & 287.4 & 305.886354319538 & -18.4863543195378 \tabularnewline
128 & 277.7 & 303.750001855219 & -26.0500018552188 \tabularnewline
129 & 281.6 & 301.834651369967 & -20.2346513699672 \tabularnewline
130 & 288 & 304.578759276722 & -16.5787592767218 \tabularnewline
131 & 276 & 307.6175364889 & -31.6175364888997 \tabularnewline
132 & 272.9 & 305.794270161593 & -32.894270161593 \tabularnewline
133 & 283 & 306.01527214066 & -23.0152721406604 \tabularnewline
134 & 283.3 & 309.55130380574 & -26.2513038057402 \tabularnewline
135 & 276.8 & 306.420442435617 & -29.6204424356175 \tabularnewline
136 & 284.5 & 307.930622625912 & -23.430622625912 \tabularnewline
137 & 282.7 & 306.715111741041 & -24.0151117410408 \tabularnewline
138 & 281.2 & 303.657917697274 & -22.457917697274 \tabularnewline
139 & 287.4 & 300.932226622108 & -13.5322266221084 \tabularnewline
140 & 283.1 & 298.280202873299 & -15.1802028732985 \tabularnewline
141 & 284 & 295.554511798133 & -11.554511798133 \tabularnewline
142 & 285.5 & 298.07761772582 & -12.57761772582 \tabularnewline
143 & 289.2 & 306.052105803838 & -16.8521058038384 \tabularnewline
144 & 292.5 & 303.418498886618 & -10.9184988866175 \tabularnewline
145 & 296.4 & 303.54741670774 & -7.14741670774027 \tabularnewline
146 & 305.2 & 297.967116736286 & 7.23288326371366 \tabularnewline
147 & 303.9 & 296.328018724869 & 7.57198127513081 \tabularnewline
148 & 311.5 & 308.225291931335 & 3.27470806866473 \tabularnewline
149 & 316.3 & 305.112847392802 & 11.1871526071984 \tabularnewline
150 & 316.7 & 306.623027583096 & 10.076972416904 \tabularnewline
151 & 322.5 & 305.646935508881 & 16.8530644911187 \tabularnewline
152 & 317.1 & 302.884410770538 & 14.2155892294622 \tabularnewline
153 & 309.8 & 300.029801874249 & 9.77019812575054 \tabularnewline
154 & 303.8 & 299.348379105458 & 4.45162089454192 \tabularnewline
155 & 290.3 & 300.287637516495 & -9.98763751649486 \tabularnewline
156 & 293.7 & 297.285693967495 & -3.58569396749493 \tabularnewline
157 & 291.7 & 294.062748439427 & -2.36274843942748 \tabularnewline
158 & 296.5 & 290.747718753415 & 5.75228124658476 \tabularnewline
159 & 289.1 & 294.394251408029 & -5.29425140802865 \tabularnewline
160 & 288.5 & 298.445954357599 & -9.94595435759919 \tabularnewline
161 & 293.8 & 295.333509819066 & -1.53350981906547 \tabularnewline
162 & 297.7 & 292.368399933243 & 5.33160006675655 \tabularnewline
163 & 305.4 & 289.624292026489 & 15.7757079735111 \tabularnewline
164 & 302.7 & 286.861767288145 & 15.8382327118546 \tabularnewline
165 & 302.5 & 298.445954357599 & 4.05404564240081 \tabularnewline
166 & 303 & 296.935774167305 & 6.06422583269526 \tabularnewline
167 & 294.5 & 294.339000913262 & 0.160999086738169 \tabularnewline
168 & 294.1 & 291.594893006507 & 2.50510699349278 \tabularnewline
169 & 294.5 & 289.237538563121 & 5.26246143687923 \tabularnewline
170 & 297.1 & 287.119602930391 & 9.98039706960928 \tabularnewline
171 & 289.4 & 289.403290047421 & -0.00329004742140781 \tabularnewline
172 & 292.4 & 296.14385040898 & -3.7438504089796 \tabularnewline
173 & 287.9 & 294.007497944661 & -6.10749794466062 \tabularnewline
174 & 286.6 & 291.871145480342 & -5.27114548034158 \tabularnewline
175 & 280.5 & 289.826877173967 & -9.3268771739674 \tabularnewline
176 & 272.4 & 287.672107878059 & -15.2721078780595 \tabularnewline
177 & 269.2 & 284.909583139716 & -15.7095831397159 \tabularnewline
178 & 270.6 & 288.169362330961 & -17.5693623309612 \tabularnewline
179 & 267.3 & 287.045935604035 & -19.7459356040349 \tabularnewline
180 & 262.5 & 284.706997992237 & -22.2069979922374 \tabularnewline
181 & 266.8 & 284.706997992237 & -17.9069979922374 \tabularnewline
182 & 268.8 & 277.78226931479 & -8.9822693147896 \tabularnewline
183 & 263.1 & 274.356738639244 & -11.2567386392436 \tabularnewline
184 & 261.2 & 273.141227754372 & -11.9412277543725 \tabularnewline
185 & 266 & 271.94413370109 & -5.94413370109031 \tabularnewline
186 & 262.5 & 270.728622816219 & -8.22862281621915 \tabularnewline
187 & 265.2 & 263.730226812416 & 1.46977318758444 \tabularnewline
188 & 261.3 & 257.560588230115 & 3.739411769885 \tabularnewline
189 & 253.7 & 256.529245661133 & -2.82924566113343 \tabularnewline
190 & 249.2 & 255.497903092152 & -6.29790309215186 \tabularnewline
191 & 239.1 & 254.503394186348 & -15.4033941863482 \tabularnewline
192 & 236.4 & 253.472051617367 & -17.0720516173666 \tabularnewline
193 & 235.2 & 252.551210037919 & -17.3512100379188 \tabularnewline
194 & 245.2 & 251.667202121649 & -6.46720212164882 \tabularnewline
195 & 246.2 & 250.801611036968 & -4.60161103696785 \tabularnewline
196 & 247.7 & 255.608404081686 & -7.90840408168559 \tabularnewline
197 & 251.4 & 256.216159524121 & -4.81615952412114 \tabularnewline
198 & 253.3 & 254.926981312894 & -1.62698131289416 \tabularnewline
199 & 254.8 & 254.006139733446 & 0.793860266553678 \tabularnewline
200 & 250 & 265.627160466078 & -15.6271604660781 \tabularnewline
201 & 249.3 & 264.614234728685 & -15.3142347286855 \tabularnewline
202 & 241.5 & 263.601308991293 & -22.1013089912929 \tabularnewline
203 & 243.3 & 263.085637706802 & -19.785637706802 \tabularnewline
204 & 248 & 261.630708011274 & -13.6307080112745 \tabularnewline
205 & 253 & 260.765116926594 & -7.7651169265935 \tabularnewline
206 & 252.9 & 273.380646565029 & -20.4806465650289 \tabularnewline
207 & 251.5 & 309.569720637329 & -58.0697206373291 \tabularnewline
208 & 251.6 & 307.414951341421 & -55.8149513414212 \tabularnewline
209 & 253.5 & 305.867937487949 & -52.3679374879488 \tabularnewline
210 & 259.8 & 307.635953320489 & -47.8359533204887 \tabularnewline
211 & 334.1 & 305.278598877102 & 28.8214011228978 \tabularnewline
212 & 448 & 341.375588791458 & 106.624411208542 \tabularnewline
213 & 445.8 & 367.527489647776 & 78.2725103522237 \tabularnewline
214 & 445 & 372.334282692494 & 72.665717307506 \tabularnewline
215 & 448.2 & 371.837028239592 & 76.3629717604078 \tabularnewline
216 & 438.2 & 364.322960951298 & 73.8770390487022 \tabularnewline
217 & 439.8 & 360.694845128273 & 79.1051548717267 \tabularnewline
218 & 423.4 & 359.037330285267 & 64.3626697147328 \tabularnewline
219 & 410.8 & 355.206629314764 & 55.5933706852358 \tabularnewline
220 & 408.4 & 353.770116450826 & 54.6298835491744 \tabularnewline
221 & 406.7 & 359.350416422279 & 47.3495835777205 \tabularnewline
222 & 405.9 & 353.125527345212 & 52.7744726547879 \tabularnewline
223 & 402.7 & 349.515828353776 & 53.1841716462235 \tabularnewline
224 & 405.1 & 342.775267992218 & 62.3247320077817 \tabularnewline
225 & 399.6 & 340.067993748642 & 59.5320062513583 \tabularnewline
226 & 386.5 & 334.082523482231 & 52.4174765177693 \tabularnewline
227 & 381.4 & 334.303525461298 & 47.0964745387018 \tabularnewline
228 & 375.2 & 334.137773976998 & 41.0622260230024 \tabularnewline
229 & 357.7 & 322.516753244366 & 35.1832467556342 \tabularnewline
230 & 359 & 327.305129457495 & 31.6948705425054 \tabularnewline
231 & 355 & 326.476372035992 & 28.5236279640085 \tabularnewline
232 & 352.7 & 321.061823548838 & 31.6381764511618 \tabularnewline
233 & 344.4 & 322.44308591801 & 21.95691408199 \tabularnewline
234 & 343.8 & 320.306733453691 & 23.493266546309 \tabularnewline
235 & 338 & 325.279277982709 & 12.7207220172907 \tabularnewline
236 & 339 & 354.359455061672 & -15.3594550616722 \tabularnewline
237 & 333.3 & 357.913903558341 & -24.6139035583408 \tabularnewline
238 & 334.4 & 362.573361950347 & -28.1733619503469 \tabularnewline
239 & 328.3 & 362.647029276703 & -34.3470292767027 \tabularnewline
240 & 330.7 & 348.355567963672 & -17.6555679636723 \tabularnewline
241 & 330 & 339.497071969384 & -9.497071969384 \tabularnewline
242 & 331.6 & 374.470635156813 & -42.870635156813 \tabularnewline
243 & 351.2 & 455.302109000745 & -104.102109000745 \tabularnewline
244 & 389.4 & 436.977361569733 & -47.5773615697326 \tabularnewline
245 & 410.9 & 482.117015794266 & -71.2170157942658 \tabularnewline
246 & 442.8 & 482.2275167838 & -39.4275167837995 \tabularnewline
247 & 462.8 & 409.959869628733 & 52.8401303712671 \tabularnewline
248 & 466.9 & 397.639009295721 & 69.2609907042792 \tabularnewline
249 & 461.7 & 388.725262806666 & 72.9747371933343 \tabularnewline
250 & 439.2 & 378.172418306193 & 61.0275816938066 \tabularnewline
251 & 430.3 & 369.019253006482 & 61.2807469935182 \tabularnewline
252 & 416.1 & 382.592457887543 & 33.507542112457 \tabularnewline
253 & 402.5 & 382.187287592586 & 20.3127124074141 \tabularnewline
254 & 397.3 & 395.115903368034 & 2.18409663196633 \tabularnewline
255 & 403.3 & 367.380154995065 & 35.9198450049353 \tabularnewline
256 & 395.9 & 370.474182702009 & 25.4258172979906 \tabularnewline
257 & 387.8 & 349.313243206298 & 38.486756793702 \tabularnewline
258 & 378.6 & 346.421800646832 & 32.1781993531683 \tabularnewline
259 & 377.1 & 348.245066974139 & 28.8549330258615 \tabularnewline
260 & 370.4 & 345.979796688697 & 24.4202033113032 \tabularnewline
261 & 362 & 330.472824490795 & 31.5271755092049 \tabularnewline
262 & 350.3 & 327.452464110206 & 22.8475358897938 \tabularnewline
263 & 348.2 & 337.45280366301 & 10.7471963369902 \tabularnewline
264 & 344.6 & 339.441821474617 & 5.1581785253829 \tabularnewline
265 & 343.5 & 337.194968020764 & 6.30503197923561 \tabularnewline
266 & 342.8 & 331.835670028378 & 10.964329971622 \tabularnewline
267 & 347.6 & 333.990439324286 & 13.6095606757141 \tabularnewline
268 & 346.6 & 331.26474824912 & 15.3352517508797 \tabularnewline
269 & 349.5 & 328.26280470012 & 21.2371952998797 \tabularnewline
270 & 342.1 & 328.373305689654 & 13.726694310346 \tabularnewline
271 & 342 & 317.378457231047 & 24.6215427689532 \tabularnewline
272 & 342.8 & 312.682165175863 & 30.1178348241372 \tabularnewline
273 & 339.3 & 304.947095908501 & 34.3529040914991 \tabularnewline
274 & 348.2 & 304.891845413734 & 43.3081545862659 \tabularnewline
275 & 333.7 & 321.172324538372 & 12.5276754616281 \tabularnewline
276 & 334.7 & 343.696109571666 & -8.99610957166617 \tabularnewline
277 & 354 & 326.660540351881 & 27.3394596481189 \tabularnewline
278 & 367.7 & 317.286373073102 & 50.4136269268979 \tabularnewline
279 & 363.3 & 319.293807716298 & 44.0061922837017 \tabularnewline
280 & 358.4 & 311.613988943703 & 46.7860110562966 \tabularnewline
281 & 353.1 & 309.496053310973 & 43.6039466890267 \tabularnewline
282 & 343.1 & 299.569381084526 & 43.5306189154745 \tabularnewline
283 & 344.6 & 298.980042473679 & 45.6199575263211 \tabularnewline
284 & 344.4 & 291.631726669685 & 52.7682733303148 \tabularnewline
285 & 333.9 & 290.084712816213 & 43.8152871837872 \tabularnewline
286 & 331.7 & 292.184231617354 & 39.5157683826461 \tabularnewline
287 & 324.3 & 294.596836555507 & 29.7031634444928 \tabularnewline
288 & 321.2 & 291.797478153986 & 29.4025218460142 \tabularnewline
289 & 322.4 & 285.812007887575 & 36.5879921124252 \tabularnewline
290 & 321.7 & 274.135736660176 & 47.5642633398238 \tabularnewline
291 & 320.5 & 274.522490123544 & 45.9775098764557 \tabularnewline
292 & 312.8 & 280.41587623201 & 32.3841237679896 \tabularnewline
293 & 309.7 & 287.616857383293 & 22.0831426167074 \tabularnewline
294 & 315.6 & 267.984514909465 & 47.6154850905355 \tabularnewline
295 & 309.7 & 267.266258477495 & 42.4337415225047 \tabularnewline
296 & 304.6 & 268.408102036011 & 36.1918979639894 \tabularnewline
297 & 302.5 & 270.065616879017 & 32.4343831209833 \tabularnewline
298 & 301.5 & 259.273353567888 & 42.226646432112 \tabularnewline
299 & 298.8 & 264.779986212986 & 34.0200137870139 \tabularnewline
300 & 291.3 & 263.067220875213 & 28.2327791247869 \tabularnewline
301 & 293.6 & 266.990006003661 & 26.6099939963391 \tabularnewline
302 & 294.6 & 264.282731760084 & 30.3172682399158 \tabularnewline
303 & 285.9 & 273.804233691575 & 12.095766308425 \tabularnewline
304 & 297.6 & 279.458200989385 & 18.1417990106153 \tabularnewline
305 & 301.1 & 268.518603025544 & 32.5813969744557 \tabularnewline
306 & 293.8 & 263.748643644005 & 30.0513563559955 \tabularnewline
307 & 297.7 & 251.022613016035 & 46.6773869839647 \tabularnewline
308 & 292.9 & 247.633916003667 & 45.2660839963327 \tabularnewline
309 & 292.1 & 257.634255556471 & 34.4657444435292 \tabularnewline
310 & 287.2 & 257.634255556471 & 29.5657444435292 \tabularnewline
311 & 288.2 & 263.82231097036 & 24.3776890296397 \tabularnewline
312 & 283.8 & 250.691110047434 & 33.1088899525659 \tabularnewline
313 & 299.9 & 258.463012977974 & 41.4369870220261 \tabularnewline
314 & 292.4 & 255.921490218698 & 36.4785097813021 \tabularnewline
315 & 293.3 & 249.991270447054 & 43.3087295529463 \tabularnewline
316 & 300.8 & 254.779646660183 & 46.0203533398175 \tabularnewline
317 & 293.7 & 257.560588230115 & 36.139411769885 \tabularnewline
318 & 293.1 & 251.243614995103 & 41.8563850048972 \tabularnewline
319 & 294.4 & 258.573513967508 & 35.8264860324924 \tabularnewline
320 & 292.1 & 253.177382311943 & 38.9226176880568 \tabularnewline
321 & 291.9 & 254.042973396624 & 37.8570266033757 \tabularnewline
322 & 282.5 & 251.81453677436 & 30.6854632256395 \tabularnewline
323 & 277.9 & 253.343133796244 & 24.5568662037561 \tabularnewline
324 & 287.5 & 256.087241702998 & 31.4127582970016 \tabularnewline
325 & 289.2 & 267.837180256753 & 21.3628197432471 \tabularnewline
326 & 285.6 & 268.352851541244 & 17.2471484587563 \tabularnewline
327 & 293.2 & 272.772891122593 & 20.4271088774066 \tabularnewline
328 & 290.8 & 269.034274310035 & 21.7657256899649 \tabularnewline
329 & 283.1 & 271.94413370109 & 11.1558662989097 \tabularnewline
330 & 275 & 281.926056422305 & -6.9260564223049 \tabularnewline
331 & 287.8 & 266.400667392814 & 21.3993326071857 \tabularnewline
332 & 287.8 & 268.205516888532 & 19.5944831114679 \tabularnewline
333 & 287.4 & 280.728962369023 & 6.67103763097727 \tabularnewline
334 & 284 & 278.611026736293 & 5.38897326370732 \tabularnewline
335 & 277.8 & 293.731245470826 & -15.9312454708262 \tabularnewline
336 & 277.6 & 311.466654290992 & -33.8666542909917 \tabularnewline
337 & 304.9 & 312.884750323341 & -7.98475032334138 \tabularnewline
338 & 294 & 338.078975937034 & -44.0789759370343 \tabularnewline
339 & 300.9 & 363.770456003629 & -62.8704560036291 \tabularnewline
340 & 324 & 350.049916469856 & -26.0499164698563 \tabularnewline
341 & 332.9 & 344.745868972237 & -11.8458689722367 \tabularnewline
342 & 341.6 & 332.130339333801 & 9.46966066619876 \tabularnewline
343 & 333.4 & 314.063427545035 & 19.3365724549654 \tabularnewline
344 & 348.2 & 313.952926555501 & 34.2470734444991 \tabularnewline
345 & 344.7 & 305.186514719157 & 39.5134852808426 \tabularnewline
346 & 344.7 & 323.179759181568 & 21.5202408184318 \tabularnewline
347 & 329.3 & 330.104487859016 & -0.804487859015983 \tabularnewline
348 & 323.5 & 330.233405680139 & -6.7334056801387 \tabularnewline
349 & 323.2 & 358.429574842832 & -35.2295748428316 \tabularnewline
350 & 317.4 & 341.099336317623 & -23.6993363176232 \tabularnewline
351 & 330.1 & 329.957153206304 & 0.142846793695679 \tabularnewline
352 & 329.2 & 332.111922502212 & -2.91192250221231 \tabularnewline
353 & 334.9 & 325.721281940844 & 9.1787180591557 \tabularnewline
354 & 315.8 & 312.847916660163 & 2.95208333983656 \tabularnewline
355 & 315.4 & 315.131603777194 & 0.268396222805889 \tabularnewline
356 & 319.6 & 326.421121541225 & -6.8211215412246 \tabularnewline
357 & 317.3 & 319.588477021722 & -2.28847702172164 \tabularnewline
358 & 313.8 & 316.97328693609 & -3.17328693608976 \tabularnewline
359 & 315.8 & 339.404987811439 & -23.6049878114392 \tabularnewline
360 & 311.3 & 353.733282787648 & -42.4332827876476 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=141880&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]326.292203720102[/C][C]-71.2922037201019[/C][/ROW]
[ROW][C]2[/C][C]280.2[/C][C]326.292203720102[/C][C]-46.0922037201021[/C][/ROW]
[ROW][C]3[/C][C]299.9[/C][C]325.942283919912[/C][C]-26.0422839199118[/C][/ROW]
[ROW][C]4[/C][C]339.2[/C][C]325.629197782899[/C][C]13.5708022171005[/C][/ROW]
[ROW][C]5[/C][C]374.2[/C][C]326.86312549936[/C][C]47.3368745006404[/C][/ROW]
[ROW][C]6[/C][C]393.5[/C][C]332.627593786703[/C][C]60.8724062132969[/C][/ROW]
[ROW][C]7[/C][C]389.2[/C][C]332.572343291936[/C][C]56.6276567080638[/C][/ROW]
[ROW][C]8[/C][C]381.7[/C][C]331.854086859967[/C][C]49.8459131400331[/C][/ROW]
[ROW][C]9[/C][C]375.2[/C][C]330.472824490795[/C][C]44.7271755092048[/C][/ROW]
[ROW][C]10[/C][C]369[/C][C]329.349397763869[/C][C]39.6506022361312[/C][/ROW]
[ROW][C]11[/C][C]357.4[/C][C]328.373305689654[/C][C]29.0266943103459[/C][/ROW]
[ROW][C]12[/C][C]352.1[/C][C]327.286712625906[/C][C]24.8132873740944[/C][/ROW]
[ROW][C]13[/C][C]346.5[/C][C]325.905450256734[/C][C]20.5945497432662[/C][/ROW]
[ROW][C]14[/C][C]342.9[/C][C]325.44502946701[/C][C]17.4549705329901[/C][/ROW]
[ROW][C]15[/C][C]340.3[/C][C]324.671522540274[/C][C]15.6284774597263[/C][/ROW]
[ROW][C]16[/C][C]328.3[/C][C]323.971682939893[/C][C]4.32831706010664[/C][/ROW]
[ROW][C]17[/C][C]322.9[/C][C]323.308677002691[/C][C]-0.408677002690947[/C][/ROW]
[ROW][C]18[/C][C]314.3[/C][C]322.682504728666[/C][C]-8.38250472866637[/C][/ROW]
[ROW][C]19[/C][C]308.9[/C][C]322.09316611782[/C][C]-13.1931661178198[/C][/ROW]
[ROW][C]20[/C][C]294[/C][C]321.485410675384[/C][C]-27.4854106753842[/C][/ROW]
[ROW][C]21[/C][C]285.6[/C][C]320.14098196939[/C][C]-34.5409819693903[/C][/ROW]
[ROW][C]22[/C][C]281.2[/C][C]318.096713663016[/C][C]-36.8967136630162[/C][/ROW]
[ROW][C]23[/C][C]280.3[/C][C]316.476032483188[/C][C]-36.1760324831879[/C][/ROW]
[ROW][C]24[/C][C]278.8[/C][C]315.076353282427[/C][C]-36.2763532824272[/C][/ROW]
[ROW][C]25[/C][C]274.5[/C][C]313.768758239611[/C][C]-39.2687582396113[/C][/ROW]
[ROW][C]26[/C][C]270.4[/C][C]310.7852315222[/C][C]-40.3852315222003[/C][/ROW]
[ROW][C]27[/C][C]263.4[/C][C]293.49182666017[/C][C]-30.0918266601698[/C][/ROW]
[ROW][C]28[/C][C]259.9[/C][C]292.202648448943[/C][C]-32.3026484489428[/C][/ROW]
[ROW][C]29[/C][C]258[/C][C]294.578419723918[/C][C]-36.5784197239183[/C][/ROW]
[ROW][C]30[/C][C]262.7[/C][C]301.742567212022[/C][C]-39.0425672120225[/C][/ROW]
[ROW][C]31[/C][C]284.7[/C][C]305.149681055979[/C][C]-20.4496810559795[/C][/ROW]
[ROW][C]32[/C][C]311.3[/C][C]308.814630542182[/C][C]2.4853694578181[/C][/ROW]
[ROW][C]33[/C][C]322.1[/C][C]315.776192882808[/C][C]6.32380711719245[/C][/ROW]
[ROW][C]34[/C][C]327[/C][C]318.538717621151[/C][C]8.4612823788489[/C][/ROW]
[ROW][C]35[/C][C]331.3[/C][C]320.877655232949[/C][C]10.4223447670514[/C][/ROW]
[ROW][C]36[/C][C]333.3[/C][C]322.277334433709[/C][C]11.0226655662907[/C][/ROW]
[ROW][C]37[/C][C]321.4[/C][C]322.553586907544[/C][C]-1.15358690754372[/C][/ROW]
[ROW][C]38[/C][C]327[/C][C]320.730320580237[/C][C]6.26967941976302[/C][/ROW]
[ROW][C]39[/C][C]320[/C][C]319.570060190133[/C][C]0.429939809867317[/C][/ROW]
[ROW][C]40[/C][C]314.7[/C][C]324.74518986663[/C][C]-10.0451898666296[/C][/ROW]
[ROW][C]41[/C][C]316.7[/C][C]322.645671065489[/C][C]-5.94567106548849[/C][/ROW]
[ROW][C]42[/C][C]314.4[/C][C]320.435651274814[/C][C]-6.03565127481367[/C][/ROW]
[ROW][C]43[/C][C]321.3[/C][C]319.072805737231[/C][C]2.22719426276916[/C][/ROW]
[ROW][C]44[/C][C]318.2[/C][C]317.452124557403[/C][C]0.747875442597327[/C][/ROW]
[ROW][C]45[/C][C]307.2[/C][C]315.794609714397[/C][C]-8.59460971439655[/C][/ROW]
[ROW][C]46[/C][C]301.3[/C][C]313.750341408022[/C][C]-12.4503414080223[/C][/ROW]
[ROW][C]47[/C][C]287.5[/C][C]311.66923943847[/C][C]-24.1692394384702[/C][/ROW]
[ROW][C]48[/C][C]277.7[/C][C]316.807535451789[/C][C]-39.1075354517892[/C][/ROW]
[ROW][C]49[/C][C]274.4[/C][C]315.997194861875[/C][C]-41.5971948618751[/C][/ROW]
[ROW][C]50[/C][C]258.8[/C][C]314.173928534568[/C][C]-55.3739285345683[/C][/ROW]
[ROW][C]51[/C][C]253.3[/C][C]312.663748344274[/C][C]-59.3637483442739[/C][/ROW]
[ROW][C]52[/C][C]251[/C][C]311.337736469869[/C][C]-60.337736469869[/C][/ROW]
[ROW][C]53[/C][C]248.4[/C][C]309.90122360593[/C][C]-61.5012236059303[/C][/ROW]
[ROW][C]54[/C][C]249.5[/C][C]308.13320777339[/C][C]-58.6332077733905[/C][/ROW]
[ROW][C]55[/C][C]246.1[/C][C]306.38360877244[/C][C]-60.2836087724396[/C][/ROW]
[ROW][C]56[/C][C]244.5[/C][C]304.523508781955[/C][C]-60.0235087819549[/C][/ROW]
[ROW][C]57[/C][C]243.6[/C][C]302.718659286237[/C][C]-59.1186592862372[/C][/ROW]
[ROW][C]58[/C][C]244[/C][C]309.698638458452[/C][C]-65.6986384584518[/C][/ROW]
[ROW][C]59[/C][C]240.8[/C][C]314.173928534568[/C][C]-73.3739285345683[/C][/ROW]
[ROW][C]60[/C][C]249.8[/C][C]312.718998839041[/C][C]-62.9189988390407[/C][/ROW]
[ROW][C]61[/C][C]248[/C][C]310.582646374722[/C][C]-62.5826463747217[/C][/ROW]
[ROW][C]62[/C][C]259.4[/C][C]308.796213710593[/C][C]-49.396213710593[/C][/ROW]
[ROW][C]63[/C][C]260.5[/C][C]314.984269124482[/C][C]-54.4842691244824[/C][/ROW]
[ROW][C]64[/C][C]260.8[/C][C]314.873768134949[/C][C]-54.0737681349487[/C][/ROW]
[ROW][C]65[/C][C]261.3[/C][C]312.940000818108[/C][C]-51.6400008181082[/C][/ROW]
[ROW][C]66[/C][C]259.5[/C][C]310.877315680145[/C][C]-51.3773156801451[/C][/ROW]
[ROW][C]67[/C][C]256.6[/C][C]309.219800837139[/C][C]-52.6198008371389[/C][/ROW]
[ROW][C]68[/C][C]257.9[/C][C]307.175532530765[/C][C]-49.2755325307648[/C][/ROW]
[ROW][C]69[/C][C]256.5[/C][C]305.462767192992[/C][C]-48.9627671929917[/C][/ROW]
[ROW][C]70[/C][C]254.2[/C][C]316.43919882001[/C][C]-62.23919882001[/C][/ROW]
[ROW][C]71[/C][C]253.3[/C][C]313.382004776243[/C][C]-60.0820047762432[/C][/ROW]
[ROW][C]72[/C][C]253.8[/C][C]310.43531172201[/C][C]-56.6353117220101[/C][/ROW]
[ROW][C]73[/C][C]255.5[/C][C]308.13320777339[/C][C]-52.6332077733905[/C][/ROW]
[ROW][C]74[/C][C]257.1[/C][C]305.812686993182[/C][C]-48.7126869931819[/C][/ROW]
[ROW][C]75[/C][C]257.3[/C][C]303.123829581194[/C][C]-45.8238295811942[/C][/ROW]
[ROW][C]76[/C][C]253.2[/C][C]306.236274119728[/C][C]-53.0362741197279[/C][/ROW]
[ROW][C]77[/C][C]252.8[/C][C]305.591685014114[/C][C]-52.7916850141144[/C][/ROW]
[ROW][C]78[/C][C]252[/C][C]303.031745423249[/C][C]-51.0317454232495[/C][/ROW]
[ROW][C]79[/C][C]250.7[/C][C]300.527056327151[/C][C]-49.8270563271513[/C][/ROW]
[ROW][C]80[/C][C]252.2[/C][C]297.764531588808[/C][C]-45.5645315888078[/C][/ROW]
[ROW][C]81[/C][C]250[/C][C]302.552907801937[/C][C]-52.5529078019366[/C][/ROW]
[ROW][C]82[/C][C]251[/C][C]303.510583044562[/C][C]-52.5105830445623[/C][/ROW]
[ROW][C]83[/C][C]253.4[/C][C]302.829160275771[/C][C]-49.4291602757709[/C][/ROW]
[ROW][C]84[/C][C]251.2[/C][C]300.140302863783[/C][C]-48.9403028637832[/C][/ROW]
[ROW][C]85[/C][C]255.6[/C][C]299.532547421348[/C][C]-43.9325474213476[/C][/ROW]
[ROW][C]86[/C][C]261.1[/C][C]296.898940504127[/C][C]-35.7989405041268[/C][/ROW]
[ROW][C]87[/C][C]258.9[/C][C]295.167758334765[/C][C]-36.2677583347649[/C][/ROW]
[ROW][C]88[/C][C]259.9[/C][C]295.112507839998[/C][C]-35.212507839998[/C][/ROW]
[ROW][C]89[/C][C]261.2[/C][C]294.486335565973[/C][C]-33.2863355659735[/C][/ROW]
[ROW][C]90[/C][C]264.7[/C][C]293.289241512691[/C][C]-28.5892415126913[/C][/ROW]
[ROW][C]91[/C][C]267.1[/C][C]290.360965290047[/C][C]-23.2609652900471[/C][/ROW]
[ROW][C]92[/C][C]266.4[/C][C]293.105073196802[/C][C]-26.7050731968017[/C][/ROW]
[ROW][C]93[/C][C]267.7[/C][C]294.099582102605[/C][C]-26.3995821026054[/C][/ROW]
[ROW][C]94[/C][C]268.6[/C][C]291.484392016974[/C][C]-22.8843920169735[/C][/ROW]
[ROW][C]95[/C][C]267.5[/C][C]290.084712816213[/C][C]-22.5847128162128[/C][/ROW]
[ROW][C]96[/C][C]268.5[/C][C]291.502808848562[/C][C]-23.0028088485625[/C][/ROW]
[ROW][C]97[/C][C]268.5[/C][C]288.850785099753[/C][C]-20.3507850997527[/C][/ROW]
[ROW][C]98[/C][C]270.5[/C][C]285.646256403274[/C][C]-15.1462564032742[/C][/ROW]
[ROW][C]99[/C][C]270.9[/C][C]288.279863320495[/C][C]-17.379863320495[/C][/ROW]
[ROW][C]100[/C][C]270.1[/C][C]282.404894043618[/C][C]-12.3048940436178[/C][/ROW]
[ROW][C]101[/C][C]269.3[/C][C]277.266598030299[/C][C]-7.96659803029881[/C][/ROW]
[ROW][C]102[/C][C]269.8[/C][C]280.360625737244[/C][C]-10.5606257372436[/C][/ROW]
[ROW][C]103[/C][C]270.1[/C][C]276.640425756274[/C][C]-6.54042575627427[/C][/ROW]
[ROW][C]104[/C][C]264.9[/C][C]273.54639804933[/C][C]-8.64639804932957[/C][/ROW]
[ROW][C]105[/C][C]263.7[/C][C]276.89826139852[/C][C]-13.1982613985197[/C][/ROW]
[ROW][C]106[/C][C]264.8[/C][C]273.454313891385[/C][C]-8.65431389138475[/C][/ROW]
[ROW][C]107[/C][C]263.7[/C][C]279.495034652563[/C][C]-15.7950346525626[/C][/ROW]
[ROW][C]108[/C][C]255.9[/C][C]279.458200989385[/C][C]-23.5582009893847[/C][/ROW]
[ROW][C]109[/C][C]276.2[/C][C]289.753209847612[/C][C]-13.5532098476116[/C][/ROW]
[ROW][C]110[/C][C]360.1[/C][C]307.470201836188[/C][C]52.629798163812[/C][/ROW]
[ROW][C]111[/C][C]380.5[/C][C]334.506110608777[/C][C]45.9938893912233[/C][/ROW]
[ROW][C]112[/C][C]373.7[/C][C]337.10288386282[/C][C]36.5971161371804[/C][/ROW]
[ROW][C]113[/C][C]369.8[/C][C]338.944567021715[/C][C]30.8554329782847[/C][/ROW]
[ROW][C]114[/C][C]366.6[/C][C]337.029216536464[/C][C]29.5707834635363[/C][/ROW]
[ROW][C]115[/C][C]359.3[/C][C]334.082523482231[/C][C]25.2174765177693[/C][/ROW]
[ROW][C]116[/C][C]345.8[/C][C]331.227914585942[/C][C]14.5720854140577[/C][/ROW]
[ROW][C]117[/C][C]326.2[/C][C]327.91288489993[/C][C]-1.71288489993015[/C][/ROW]
[ROW][C]118[/C][C]324.5[/C][C]325.739698772433[/C][C]-1.23969877243324[/C][/ROW]
[ROW][C]119[/C][C]328.1[/C][C]327.673466089274[/C][C]0.426533910726318[/C][/ROW]
[ROW][C]120[/C][C]327.5[/C][C]324.37685323485[/C][C]3.12314676514958[/C][/ROW]
[ROW][C]121[/C][C]324.4[/C][C]321.448577012206[/C][C]2.95142298779368[/C][/ROW]
[ROW][C]122[/C][C]316.5[/C][C]318.833386926574[/C][C]-2.33338692657442[/C][/ROW]
[ROW][C]123[/C][C]310.9[/C][C]316.015611693464[/C][C]-5.11561169346405[/C][/ROW]
[ROW][C]124[/C][C]301.5[/C][C]313.345171113065[/C][C]-11.8451711130653[/C][/ROW]
[ROW][C]125[/C][C]291.7[/C][C]310.674730532667[/C][C]-18.9747305326665[/C][/ROW]
[ROW][C]126[/C][C]290.4[/C][C]308.298959257691[/C][C]-17.8989592576911[/C][/ROW]
[ROW][C]127[/C][C]287.4[/C][C]305.886354319538[/C][C]-18.4863543195378[/C][/ROW]
[ROW][C]128[/C][C]277.7[/C][C]303.750001855219[/C][C]-26.0500018552188[/C][/ROW]
[ROW][C]129[/C][C]281.6[/C][C]301.834651369967[/C][C]-20.2346513699672[/C][/ROW]
[ROW][C]130[/C][C]288[/C][C]304.578759276722[/C][C]-16.5787592767218[/C][/ROW]
[ROW][C]131[/C][C]276[/C][C]307.6175364889[/C][C]-31.6175364888997[/C][/ROW]
[ROW][C]132[/C][C]272.9[/C][C]305.794270161593[/C][C]-32.894270161593[/C][/ROW]
[ROW][C]133[/C][C]283[/C][C]306.01527214066[/C][C]-23.0152721406604[/C][/ROW]
[ROW][C]134[/C][C]283.3[/C][C]309.55130380574[/C][C]-26.2513038057402[/C][/ROW]
[ROW][C]135[/C][C]276.8[/C][C]306.420442435617[/C][C]-29.6204424356175[/C][/ROW]
[ROW][C]136[/C][C]284.5[/C][C]307.930622625912[/C][C]-23.430622625912[/C][/ROW]
[ROW][C]137[/C][C]282.7[/C][C]306.715111741041[/C][C]-24.0151117410408[/C][/ROW]
[ROW][C]138[/C][C]281.2[/C][C]303.657917697274[/C][C]-22.457917697274[/C][/ROW]
[ROW][C]139[/C][C]287.4[/C][C]300.932226622108[/C][C]-13.5322266221084[/C][/ROW]
[ROW][C]140[/C][C]283.1[/C][C]298.280202873299[/C][C]-15.1802028732985[/C][/ROW]
[ROW][C]141[/C][C]284[/C][C]295.554511798133[/C][C]-11.554511798133[/C][/ROW]
[ROW][C]142[/C][C]285.5[/C][C]298.07761772582[/C][C]-12.57761772582[/C][/ROW]
[ROW][C]143[/C][C]289.2[/C][C]306.052105803838[/C][C]-16.8521058038384[/C][/ROW]
[ROW][C]144[/C][C]292.5[/C][C]303.418498886618[/C][C]-10.9184988866175[/C][/ROW]
[ROW][C]145[/C][C]296.4[/C][C]303.54741670774[/C][C]-7.14741670774027[/C][/ROW]
[ROW][C]146[/C][C]305.2[/C][C]297.967116736286[/C][C]7.23288326371366[/C][/ROW]
[ROW][C]147[/C][C]303.9[/C][C]296.328018724869[/C][C]7.57198127513081[/C][/ROW]
[ROW][C]148[/C][C]311.5[/C][C]308.225291931335[/C][C]3.27470806866473[/C][/ROW]
[ROW][C]149[/C][C]316.3[/C][C]305.112847392802[/C][C]11.1871526071984[/C][/ROW]
[ROW][C]150[/C][C]316.7[/C][C]306.623027583096[/C][C]10.076972416904[/C][/ROW]
[ROW][C]151[/C][C]322.5[/C][C]305.646935508881[/C][C]16.8530644911187[/C][/ROW]
[ROW][C]152[/C][C]317.1[/C][C]302.884410770538[/C][C]14.2155892294622[/C][/ROW]
[ROW][C]153[/C][C]309.8[/C][C]300.029801874249[/C][C]9.77019812575054[/C][/ROW]
[ROW][C]154[/C][C]303.8[/C][C]299.348379105458[/C][C]4.45162089454192[/C][/ROW]
[ROW][C]155[/C][C]290.3[/C][C]300.287637516495[/C][C]-9.98763751649486[/C][/ROW]
[ROW][C]156[/C][C]293.7[/C][C]297.285693967495[/C][C]-3.58569396749493[/C][/ROW]
[ROW][C]157[/C][C]291.7[/C][C]294.062748439427[/C][C]-2.36274843942748[/C][/ROW]
[ROW][C]158[/C][C]296.5[/C][C]290.747718753415[/C][C]5.75228124658476[/C][/ROW]
[ROW][C]159[/C][C]289.1[/C][C]294.394251408029[/C][C]-5.29425140802865[/C][/ROW]
[ROW][C]160[/C][C]288.5[/C][C]298.445954357599[/C][C]-9.94595435759919[/C][/ROW]
[ROW][C]161[/C][C]293.8[/C][C]295.333509819066[/C][C]-1.53350981906547[/C][/ROW]
[ROW][C]162[/C][C]297.7[/C][C]292.368399933243[/C][C]5.33160006675655[/C][/ROW]
[ROW][C]163[/C][C]305.4[/C][C]289.624292026489[/C][C]15.7757079735111[/C][/ROW]
[ROW][C]164[/C][C]302.7[/C][C]286.861767288145[/C][C]15.8382327118546[/C][/ROW]
[ROW][C]165[/C][C]302.5[/C][C]298.445954357599[/C][C]4.05404564240081[/C][/ROW]
[ROW][C]166[/C][C]303[/C][C]296.935774167305[/C][C]6.06422583269526[/C][/ROW]
[ROW][C]167[/C][C]294.5[/C][C]294.339000913262[/C][C]0.160999086738169[/C][/ROW]
[ROW][C]168[/C][C]294.1[/C][C]291.594893006507[/C][C]2.50510699349278[/C][/ROW]
[ROW][C]169[/C][C]294.5[/C][C]289.237538563121[/C][C]5.26246143687923[/C][/ROW]
[ROW][C]170[/C][C]297.1[/C][C]287.119602930391[/C][C]9.98039706960928[/C][/ROW]
[ROW][C]171[/C][C]289.4[/C][C]289.403290047421[/C][C]-0.00329004742140781[/C][/ROW]
[ROW][C]172[/C][C]292.4[/C][C]296.14385040898[/C][C]-3.7438504089796[/C][/ROW]
[ROW][C]173[/C][C]287.9[/C][C]294.007497944661[/C][C]-6.10749794466062[/C][/ROW]
[ROW][C]174[/C][C]286.6[/C][C]291.871145480342[/C][C]-5.27114548034158[/C][/ROW]
[ROW][C]175[/C][C]280.5[/C][C]289.826877173967[/C][C]-9.3268771739674[/C][/ROW]
[ROW][C]176[/C][C]272.4[/C][C]287.672107878059[/C][C]-15.2721078780595[/C][/ROW]
[ROW][C]177[/C][C]269.2[/C][C]284.909583139716[/C][C]-15.7095831397159[/C][/ROW]
[ROW][C]178[/C][C]270.6[/C][C]288.169362330961[/C][C]-17.5693623309612[/C][/ROW]
[ROW][C]179[/C][C]267.3[/C][C]287.045935604035[/C][C]-19.7459356040349[/C][/ROW]
[ROW][C]180[/C][C]262.5[/C][C]284.706997992237[/C][C]-22.2069979922374[/C][/ROW]
[ROW][C]181[/C][C]266.8[/C][C]284.706997992237[/C][C]-17.9069979922374[/C][/ROW]
[ROW][C]182[/C][C]268.8[/C][C]277.78226931479[/C][C]-8.9822693147896[/C][/ROW]
[ROW][C]183[/C][C]263.1[/C][C]274.356738639244[/C][C]-11.2567386392436[/C][/ROW]
[ROW][C]184[/C][C]261.2[/C][C]273.141227754372[/C][C]-11.9412277543725[/C][/ROW]
[ROW][C]185[/C][C]266[/C][C]271.94413370109[/C][C]-5.94413370109031[/C][/ROW]
[ROW][C]186[/C][C]262.5[/C][C]270.728622816219[/C][C]-8.22862281621915[/C][/ROW]
[ROW][C]187[/C][C]265.2[/C][C]263.730226812416[/C][C]1.46977318758444[/C][/ROW]
[ROW][C]188[/C][C]261.3[/C][C]257.560588230115[/C][C]3.739411769885[/C][/ROW]
[ROW][C]189[/C][C]253.7[/C][C]256.529245661133[/C][C]-2.82924566113343[/C][/ROW]
[ROW][C]190[/C][C]249.2[/C][C]255.497903092152[/C][C]-6.29790309215186[/C][/ROW]
[ROW][C]191[/C][C]239.1[/C][C]254.503394186348[/C][C]-15.4033941863482[/C][/ROW]
[ROW][C]192[/C][C]236.4[/C][C]253.472051617367[/C][C]-17.0720516173666[/C][/ROW]
[ROW][C]193[/C][C]235.2[/C][C]252.551210037919[/C][C]-17.3512100379188[/C][/ROW]
[ROW][C]194[/C][C]245.2[/C][C]251.667202121649[/C][C]-6.46720212164882[/C][/ROW]
[ROW][C]195[/C][C]246.2[/C][C]250.801611036968[/C][C]-4.60161103696785[/C][/ROW]
[ROW][C]196[/C][C]247.7[/C][C]255.608404081686[/C][C]-7.90840408168559[/C][/ROW]
[ROW][C]197[/C][C]251.4[/C][C]256.216159524121[/C][C]-4.81615952412114[/C][/ROW]
[ROW][C]198[/C][C]253.3[/C][C]254.926981312894[/C][C]-1.62698131289416[/C][/ROW]
[ROW][C]199[/C][C]254.8[/C][C]254.006139733446[/C][C]0.793860266553678[/C][/ROW]
[ROW][C]200[/C][C]250[/C][C]265.627160466078[/C][C]-15.6271604660781[/C][/ROW]
[ROW][C]201[/C][C]249.3[/C][C]264.614234728685[/C][C]-15.3142347286855[/C][/ROW]
[ROW][C]202[/C][C]241.5[/C][C]263.601308991293[/C][C]-22.1013089912929[/C][/ROW]
[ROW][C]203[/C][C]243.3[/C][C]263.085637706802[/C][C]-19.785637706802[/C][/ROW]
[ROW][C]204[/C][C]248[/C][C]261.630708011274[/C][C]-13.6307080112745[/C][/ROW]
[ROW][C]205[/C][C]253[/C][C]260.765116926594[/C][C]-7.7651169265935[/C][/ROW]
[ROW][C]206[/C][C]252.9[/C][C]273.380646565029[/C][C]-20.4806465650289[/C][/ROW]
[ROW][C]207[/C][C]251.5[/C][C]309.569720637329[/C][C]-58.0697206373291[/C][/ROW]
[ROW][C]208[/C][C]251.6[/C][C]307.414951341421[/C][C]-55.8149513414212[/C][/ROW]
[ROW][C]209[/C][C]253.5[/C][C]305.867937487949[/C][C]-52.3679374879488[/C][/ROW]
[ROW][C]210[/C][C]259.8[/C][C]307.635953320489[/C][C]-47.8359533204887[/C][/ROW]
[ROW][C]211[/C][C]334.1[/C][C]305.278598877102[/C][C]28.8214011228978[/C][/ROW]
[ROW][C]212[/C][C]448[/C][C]341.375588791458[/C][C]106.624411208542[/C][/ROW]
[ROW][C]213[/C][C]445.8[/C][C]367.527489647776[/C][C]78.2725103522237[/C][/ROW]
[ROW][C]214[/C][C]445[/C][C]372.334282692494[/C][C]72.665717307506[/C][/ROW]
[ROW][C]215[/C][C]448.2[/C][C]371.837028239592[/C][C]76.3629717604078[/C][/ROW]
[ROW][C]216[/C][C]438.2[/C][C]364.322960951298[/C][C]73.8770390487022[/C][/ROW]
[ROW][C]217[/C][C]439.8[/C][C]360.694845128273[/C][C]79.1051548717267[/C][/ROW]
[ROW][C]218[/C][C]423.4[/C][C]359.037330285267[/C][C]64.3626697147328[/C][/ROW]
[ROW][C]219[/C][C]410.8[/C][C]355.206629314764[/C][C]55.5933706852358[/C][/ROW]
[ROW][C]220[/C][C]408.4[/C][C]353.770116450826[/C][C]54.6298835491744[/C][/ROW]
[ROW][C]221[/C][C]406.7[/C][C]359.350416422279[/C][C]47.3495835777205[/C][/ROW]
[ROW][C]222[/C][C]405.9[/C][C]353.125527345212[/C][C]52.7744726547879[/C][/ROW]
[ROW][C]223[/C][C]402.7[/C][C]349.515828353776[/C][C]53.1841716462235[/C][/ROW]
[ROW][C]224[/C][C]405.1[/C][C]342.775267992218[/C][C]62.3247320077817[/C][/ROW]
[ROW][C]225[/C][C]399.6[/C][C]340.067993748642[/C][C]59.5320062513583[/C][/ROW]
[ROW][C]226[/C][C]386.5[/C][C]334.082523482231[/C][C]52.4174765177693[/C][/ROW]
[ROW][C]227[/C][C]381.4[/C][C]334.303525461298[/C][C]47.0964745387018[/C][/ROW]
[ROW][C]228[/C][C]375.2[/C][C]334.137773976998[/C][C]41.0622260230024[/C][/ROW]
[ROW][C]229[/C][C]357.7[/C][C]322.516753244366[/C][C]35.1832467556342[/C][/ROW]
[ROW][C]230[/C][C]359[/C][C]327.305129457495[/C][C]31.6948705425054[/C][/ROW]
[ROW][C]231[/C][C]355[/C][C]326.476372035992[/C][C]28.5236279640085[/C][/ROW]
[ROW][C]232[/C][C]352.7[/C][C]321.061823548838[/C][C]31.6381764511618[/C][/ROW]
[ROW][C]233[/C][C]344.4[/C][C]322.44308591801[/C][C]21.95691408199[/C][/ROW]
[ROW][C]234[/C][C]343.8[/C][C]320.306733453691[/C][C]23.493266546309[/C][/ROW]
[ROW][C]235[/C][C]338[/C][C]325.279277982709[/C][C]12.7207220172907[/C][/ROW]
[ROW][C]236[/C][C]339[/C][C]354.359455061672[/C][C]-15.3594550616722[/C][/ROW]
[ROW][C]237[/C][C]333.3[/C][C]357.913903558341[/C][C]-24.6139035583408[/C][/ROW]
[ROW][C]238[/C][C]334.4[/C][C]362.573361950347[/C][C]-28.1733619503469[/C][/ROW]
[ROW][C]239[/C][C]328.3[/C][C]362.647029276703[/C][C]-34.3470292767027[/C][/ROW]
[ROW][C]240[/C][C]330.7[/C][C]348.355567963672[/C][C]-17.6555679636723[/C][/ROW]
[ROW][C]241[/C][C]330[/C][C]339.497071969384[/C][C]-9.497071969384[/C][/ROW]
[ROW][C]242[/C][C]331.6[/C][C]374.470635156813[/C][C]-42.870635156813[/C][/ROW]
[ROW][C]243[/C][C]351.2[/C][C]455.302109000745[/C][C]-104.102109000745[/C][/ROW]
[ROW][C]244[/C][C]389.4[/C][C]436.977361569733[/C][C]-47.5773615697326[/C][/ROW]
[ROW][C]245[/C][C]410.9[/C][C]482.117015794266[/C][C]-71.2170157942658[/C][/ROW]
[ROW][C]246[/C][C]442.8[/C][C]482.2275167838[/C][C]-39.4275167837995[/C][/ROW]
[ROW][C]247[/C][C]462.8[/C][C]409.959869628733[/C][C]52.8401303712671[/C][/ROW]
[ROW][C]248[/C][C]466.9[/C][C]397.639009295721[/C][C]69.2609907042792[/C][/ROW]
[ROW][C]249[/C][C]461.7[/C][C]388.725262806666[/C][C]72.9747371933343[/C][/ROW]
[ROW][C]250[/C][C]439.2[/C][C]378.172418306193[/C][C]61.0275816938066[/C][/ROW]
[ROW][C]251[/C][C]430.3[/C][C]369.019253006482[/C][C]61.2807469935182[/C][/ROW]
[ROW][C]252[/C][C]416.1[/C][C]382.592457887543[/C][C]33.507542112457[/C][/ROW]
[ROW][C]253[/C][C]402.5[/C][C]382.187287592586[/C][C]20.3127124074141[/C][/ROW]
[ROW][C]254[/C][C]397.3[/C][C]395.115903368034[/C][C]2.18409663196633[/C][/ROW]
[ROW][C]255[/C][C]403.3[/C][C]367.380154995065[/C][C]35.9198450049353[/C][/ROW]
[ROW][C]256[/C][C]395.9[/C][C]370.474182702009[/C][C]25.4258172979906[/C][/ROW]
[ROW][C]257[/C][C]387.8[/C][C]349.313243206298[/C][C]38.486756793702[/C][/ROW]
[ROW][C]258[/C][C]378.6[/C][C]346.421800646832[/C][C]32.1781993531683[/C][/ROW]
[ROW][C]259[/C][C]377.1[/C][C]348.245066974139[/C][C]28.8549330258615[/C][/ROW]
[ROW][C]260[/C][C]370.4[/C][C]345.979796688697[/C][C]24.4202033113032[/C][/ROW]
[ROW][C]261[/C][C]362[/C][C]330.472824490795[/C][C]31.5271755092049[/C][/ROW]
[ROW][C]262[/C][C]350.3[/C][C]327.452464110206[/C][C]22.8475358897938[/C][/ROW]
[ROW][C]263[/C][C]348.2[/C][C]337.45280366301[/C][C]10.7471963369902[/C][/ROW]
[ROW][C]264[/C][C]344.6[/C][C]339.441821474617[/C][C]5.1581785253829[/C][/ROW]
[ROW][C]265[/C][C]343.5[/C][C]337.194968020764[/C][C]6.30503197923561[/C][/ROW]
[ROW][C]266[/C][C]342.8[/C][C]331.835670028378[/C][C]10.964329971622[/C][/ROW]
[ROW][C]267[/C][C]347.6[/C][C]333.990439324286[/C][C]13.6095606757141[/C][/ROW]
[ROW][C]268[/C][C]346.6[/C][C]331.26474824912[/C][C]15.3352517508797[/C][/ROW]
[ROW][C]269[/C][C]349.5[/C][C]328.26280470012[/C][C]21.2371952998797[/C][/ROW]
[ROW][C]270[/C][C]342.1[/C][C]328.373305689654[/C][C]13.726694310346[/C][/ROW]
[ROW][C]271[/C][C]342[/C][C]317.378457231047[/C][C]24.6215427689532[/C][/ROW]
[ROW][C]272[/C][C]342.8[/C][C]312.682165175863[/C][C]30.1178348241372[/C][/ROW]
[ROW][C]273[/C][C]339.3[/C][C]304.947095908501[/C][C]34.3529040914991[/C][/ROW]
[ROW][C]274[/C][C]348.2[/C][C]304.891845413734[/C][C]43.3081545862659[/C][/ROW]
[ROW][C]275[/C][C]333.7[/C][C]321.172324538372[/C][C]12.5276754616281[/C][/ROW]
[ROW][C]276[/C][C]334.7[/C][C]343.696109571666[/C][C]-8.99610957166617[/C][/ROW]
[ROW][C]277[/C][C]354[/C][C]326.660540351881[/C][C]27.3394596481189[/C][/ROW]
[ROW][C]278[/C][C]367.7[/C][C]317.286373073102[/C][C]50.4136269268979[/C][/ROW]
[ROW][C]279[/C][C]363.3[/C][C]319.293807716298[/C][C]44.0061922837017[/C][/ROW]
[ROW][C]280[/C][C]358.4[/C][C]311.613988943703[/C][C]46.7860110562966[/C][/ROW]
[ROW][C]281[/C][C]353.1[/C][C]309.496053310973[/C][C]43.6039466890267[/C][/ROW]
[ROW][C]282[/C][C]343.1[/C][C]299.569381084526[/C][C]43.5306189154745[/C][/ROW]
[ROW][C]283[/C][C]344.6[/C][C]298.980042473679[/C][C]45.6199575263211[/C][/ROW]
[ROW][C]284[/C][C]344.4[/C][C]291.631726669685[/C][C]52.7682733303148[/C][/ROW]
[ROW][C]285[/C][C]333.9[/C][C]290.084712816213[/C][C]43.8152871837872[/C][/ROW]
[ROW][C]286[/C][C]331.7[/C][C]292.184231617354[/C][C]39.5157683826461[/C][/ROW]
[ROW][C]287[/C][C]324.3[/C][C]294.596836555507[/C][C]29.7031634444928[/C][/ROW]
[ROW][C]288[/C][C]321.2[/C][C]291.797478153986[/C][C]29.4025218460142[/C][/ROW]
[ROW][C]289[/C][C]322.4[/C][C]285.812007887575[/C][C]36.5879921124252[/C][/ROW]
[ROW][C]290[/C][C]321.7[/C][C]274.135736660176[/C][C]47.5642633398238[/C][/ROW]
[ROW][C]291[/C][C]320.5[/C][C]274.522490123544[/C][C]45.9775098764557[/C][/ROW]
[ROW][C]292[/C][C]312.8[/C][C]280.41587623201[/C][C]32.3841237679896[/C][/ROW]
[ROW][C]293[/C][C]309.7[/C][C]287.616857383293[/C][C]22.0831426167074[/C][/ROW]
[ROW][C]294[/C][C]315.6[/C][C]267.984514909465[/C][C]47.6154850905355[/C][/ROW]
[ROW][C]295[/C][C]309.7[/C][C]267.266258477495[/C][C]42.4337415225047[/C][/ROW]
[ROW][C]296[/C][C]304.6[/C][C]268.408102036011[/C][C]36.1918979639894[/C][/ROW]
[ROW][C]297[/C][C]302.5[/C][C]270.065616879017[/C][C]32.4343831209833[/C][/ROW]
[ROW][C]298[/C][C]301.5[/C][C]259.273353567888[/C][C]42.226646432112[/C][/ROW]
[ROW][C]299[/C][C]298.8[/C][C]264.779986212986[/C][C]34.0200137870139[/C][/ROW]
[ROW][C]300[/C][C]291.3[/C][C]263.067220875213[/C][C]28.2327791247869[/C][/ROW]
[ROW][C]301[/C][C]293.6[/C][C]266.990006003661[/C][C]26.6099939963391[/C][/ROW]
[ROW][C]302[/C][C]294.6[/C][C]264.282731760084[/C][C]30.3172682399158[/C][/ROW]
[ROW][C]303[/C][C]285.9[/C][C]273.804233691575[/C][C]12.095766308425[/C][/ROW]
[ROW][C]304[/C][C]297.6[/C][C]279.458200989385[/C][C]18.1417990106153[/C][/ROW]
[ROW][C]305[/C][C]301.1[/C][C]268.518603025544[/C][C]32.5813969744557[/C][/ROW]
[ROW][C]306[/C][C]293.8[/C][C]263.748643644005[/C][C]30.0513563559955[/C][/ROW]
[ROW][C]307[/C][C]297.7[/C][C]251.022613016035[/C][C]46.6773869839647[/C][/ROW]
[ROW][C]308[/C][C]292.9[/C][C]247.633916003667[/C][C]45.2660839963327[/C][/ROW]
[ROW][C]309[/C][C]292.1[/C][C]257.634255556471[/C][C]34.4657444435292[/C][/ROW]
[ROW][C]310[/C][C]287.2[/C][C]257.634255556471[/C][C]29.5657444435292[/C][/ROW]
[ROW][C]311[/C][C]288.2[/C][C]263.82231097036[/C][C]24.3776890296397[/C][/ROW]
[ROW][C]312[/C][C]283.8[/C][C]250.691110047434[/C][C]33.1088899525659[/C][/ROW]
[ROW][C]313[/C][C]299.9[/C][C]258.463012977974[/C][C]41.4369870220261[/C][/ROW]
[ROW][C]314[/C][C]292.4[/C][C]255.921490218698[/C][C]36.4785097813021[/C][/ROW]
[ROW][C]315[/C][C]293.3[/C][C]249.991270447054[/C][C]43.3087295529463[/C][/ROW]
[ROW][C]316[/C][C]300.8[/C][C]254.779646660183[/C][C]46.0203533398175[/C][/ROW]
[ROW][C]317[/C][C]293.7[/C][C]257.560588230115[/C][C]36.139411769885[/C][/ROW]
[ROW][C]318[/C][C]293.1[/C][C]251.243614995103[/C][C]41.8563850048972[/C][/ROW]
[ROW][C]319[/C][C]294.4[/C][C]258.573513967508[/C][C]35.8264860324924[/C][/ROW]
[ROW][C]320[/C][C]292.1[/C][C]253.177382311943[/C][C]38.9226176880568[/C][/ROW]
[ROW][C]321[/C][C]291.9[/C][C]254.042973396624[/C][C]37.8570266033757[/C][/ROW]
[ROW][C]322[/C][C]282.5[/C][C]251.81453677436[/C][C]30.6854632256395[/C][/ROW]
[ROW][C]323[/C][C]277.9[/C][C]253.343133796244[/C][C]24.5568662037561[/C][/ROW]
[ROW][C]324[/C][C]287.5[/C][C]256.087241702998[/C][C]31.4127582970016[/C][/ROW]
[ROW][C]325[/C][C]289.2[/C][C]267.837180256753[/C][C]21.3628197432471[/C][/ROW]
[ROW][C]326[/C][C]285.6[/C][C]268.352851541244[/C][C]17.2471484587563[/C][/ROW]
[ROW][C]327[/C][C]293.2[/C][C]272.772891122593[/C][C]20.4271088774066[/C][/ROW]
[ROW][C]328[/C][C]290.8[/C][C]269.034274310035[/C][C]21.7657256899649[/C][/ROW]
[ROW][C]329[/C][C]283.1[/C][C]271.94413370109[/C][C]11.1558662989097[/C][/ROW]
[ROW][C]330[/C][C]275[/C][C]281.926056422305[/C][C]-6.9260564223049[/C][/ROW]
[ROW][C]331[/C][C]287.8[/C][C]266.400667392814[/C][C]21.3993326071857[/C][/ROW]
[ROW][C]332[/C][C]287.8[/C][C]268.205516888532[/C][C]19.5944831114679[/C][/ROW]
[ROW][C]333[/C][C]287.4[/C][C]280.728962369023[/C][C]6.67103763097727[/C][/ROW]
[ROW][C]334[/C][C]284[/C][C]278.611026736293[/C][C]5.38897326370732[/C][/ROW]
[ROW][C]335[/C][C]277.8[/C][C]293.731245470826[/C][C]-15.9312454708262[/C][/ROW]
[ROW][C]336[/C][C]277.6[/C][C]311.466654290992[/C][C]-33.8666542909917[/C][/ROW]
[ROW][C]337[/C][C]304.9[/C][C]312.884750323341[/C][C]-7.98475032334138[/C][/ROW]
[ROW][C]338[/C][C]294[/C][C]338.078975937034[/C][C]-44.0789759370343[/C][/ROW]
[ROW][C]339[/C][C]300.9[/C][C]363.770456003629[/C][C]-62.8704560036291[/C][/ROW]
[ROW][C]340[/C][C]324[/C][C]350.049916469856[/C][C]-26.0499164698563[/C][/ROW]
[ROW][C]341[/C][C]332.9[/C][C]344.745868972237[/C][C]-11.8458689722367[/C][/ROW]
[ROW][C]342[/C][C]341.6[/C][C]332.130339333801[/C][C]9.46966066619876[/C][/ROW]
[ROW][C]343[/C][C]333.4[/C][C]314.063427545035[/C][C]19.3365724549654[/C][/ROW]
[ROW][C]344[/C][C]348.2[/C][C]313.952926555501[/C][C]34.2470734444991[/C][/ROW]
[ROW][C]345[/C][C]344.7[/C][C]305.186514719157[/C][C]39.5134852808426[/C][/ROW]
[ROW][C]346[/C][C]344.7[/C][C]323.179759181568[/C][C]21.5202408184318[/C][/ROW]
[ROW][C]347[/C][C]329.3[/C][C]330.104487859016[/C][C]-0.804487859015983[/C][/ROW]
[ROW][C]348[/C][C]323.5[/C][C]330.233405680139[/C][C]-6.7334056801387[/C][/ROW]
[ROW][C]349[/C][C]323.2[/C][C]358.429574842832[/C][C]-35.2295748428316[/C][/ROW]
[ROW][C]350[/C][C]317.4[/C][C]341.099336317623[/C][C]-23.6993363176232[/C][/ROW]
[ROW][C]351[/C][C]330.1[/C][C]329.957153206304[/C][C]0.142846793695679[/C][/ROW]
[ROW][C]352[/C][C]329.2[/C][C]332.111922502212[/C][C]-2.91192250221231[/C][/ROW]
[ROW][C]353[/C][C]334.9[/C][C]325.721281940844[/C][C]9.1787180591557[/C][/ROW]
[ROW][C]354[/C][C]315.8[/C][C]312.847916660163[/C][C]2.95208333983656[/C][/ROW]
[ROW][C]355[/C][C]315.4[/C][C]315.131603777194[/C][C]0.268396222805889[/C][/ROW]
[ROW][C]356[/C][C]319.6[/C][C]326.421121541225[/C][C]-6.8211215412246[/C][/ROW]
[ROW][C]357[/C][C]317.3[/C][C]319.588477021722[/C][C]-2.28847702172164[/C][/ROW]
[ROW][C]358[/C][C]313.8[/C][C]316.97328693609[/C][C]-3.17328693608976[/C][/ROW]
[ROW][C]359[/C][C]315.8[/C][C]339.404987811439[/C][C]-23.6049878114392[/C][/ROW]
[ROW][C]360[/C][C]311.3[/C][C]353.733282787648[/C][C]-42.4332827876476[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=141880&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=141880&T=4

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


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

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
1255326.292203720102-71.2922037201019
2280.2326.292203720102-46.0922037201021
3299.9325.942283919912-26.0422839199118
4339.2325.62919778289913.5708022171005
5374.2326.8631254993647.3368745006404
6393.5332.62759378670360.8724062132969
7389.2332.57234329193656.6276567080638
8381.7331.85408685996749.8459131400331
9375.2330.47282449079544.7271755092048
10369329.34939776386939.6506022361312
11357.4328.37330568965429.0266943103459
12352.1327.28671262590624.8132873740944
13346.5325.90545025673420.5945497432662
14342.9325.4450294670117.4549705329901
15340.3324.67152254027415.6284774597263
16328.3323.9716829398934.32831706010664
17322.9323.308677002691-0.408677002690947
18314.3322.682504728666-8.38250472866637
19308.9322.09316611782-13.1931661178198
20294321.485410675384-27.4854106753842
21285.6320.14098196939-34.5409819693903
22281.2318.096713663016-36.8967136630162
23280.3316.476032483188-36.1760324831879
24278.8315.076353282427-36.2763532824272
25274.5313.768758239611-39.2687582396113
26270.4310.7852315222-40.3852315222003
27263.4293.49182666017-30.0918266601698
28259.9292.202648448943-32.3026484489428
29258294.578419723918-36.5784197239183
30262.7301.742567212022-39.0425672120225
31284.7305.149681055979-20.4496810559795
32311.3308.8146305421822.4853694578181
33322.1315.7761928828086.32380711719245
34327318.5387176211518.4612823788489
35331.3320.87765523294910.4223447670514
36333.3322.27733443370911.0226655662907
37321.4322.553586907544-1.15358690754372
38327320.7303205802376.26967941976302
39320319.5700601901330.429939809867317
40314.7324.74518986663-10.0451898666296
41316.7322.645671065489-5.94567106548849
42314.4320.435651274814-6.03565127481367
43321.3319.0728057372312.22719426276916
44318.2317.4521245574030.747875442597327
45307.2315.794609714397-8.59460971439655
46301.3313.750341408022-12.4503414080223
47287.5311.66923943847-24.1692394384702
48277.7316.807535451789-39.1075354517892
49274.4315.997194861875-41.5971948618751
50258.8314.173928534568-55.3739285345683
51253.3312.663748344274-59.3637483442739
52251311.337736469869-60.337736469869
53248.4309.90122360593-61.5012236059303
54249.5308.13320777339-58.6332077733905
55246.1306.38360877244-60.2836087724396
56244.5304.523508781955-60.0235087819549
57243.6302.718659286237-59.1186592862372
58244309.698638458452-65.6986384584518
59240.8314.173928534568-73.3739285345683
60249.8312.718998839041-62.9189988390407
61248310.582646374722-62.5826463747217
62259.4308.796213710593-49.396213710593
63260.5314.984269124482-54.4842691244824
64260.8314.873768134949-54.0737681349487
65261.3312.940000818108-51.6400008181082
66259.5310.877315680145-51.3773156801451
67256.6309.219800837139-52.6198008371389
68257.9307.175532530765-49.2755325307648
69256.5305.462767192992-48.9627671929917
70254.2316.43919882001-62.23919882001
71253.3313.382004776243-60.0820047762432
72253.8310.43531172201-56.6353117220101
73255.5308.13320777339-52.6332077733905
74257.1305.812686993182-48.7126869931819
75257.3303.123829581194-45.8238295811942
76253.2306.236274119728-53.0362741197279
77252.8305.591685014114-52.7916850141144
78252303.031745423249-51.0317454232495
79250.7300.527056327151-49.8270563271513
80252.2297.764531588808-45.5645315888078
81250302.552907801937-52.5529078019366
82251303.510583044562-52.5105830445623
83253.4302.829160275771-49.4291602757709
84251.2300.140302863783-48.9403028637832
85255.6299.532547421348-43.9325474213476
86261.1296.898940504127-35.7989405041268
87258.9295.167758334765-36.2677583347649
88259.9295.112507839998-35.212507839998
89261.2294.486335565973-33.2863355659735
90264.7293.289241512691-28.5892415126913
91267.1290.360965290047-23.2609652900471
92266.4293.105073196802-26.7050731968017
93267.7294.099582102605-26.3995821026054
94268.6291.484392016974-22.8843920169735
95267.5290.084712816213-22.5847128162128
96268.5291.502808848562-23.0028088485625
97268.5288.850785099753-20.3507850997527
98270.5285.646256403274-15.1462564032742
99270.9288.279863320495-17.379863320495
100270.1282.404894043618-12.3048940436178
101269.3277.266598030299-7.96659803029881
102269.8280.360625737244-10.5606257372436
103270.1276.640425756274-6.54042575627427
104264.9273.54639804933-8.64639804932957
105263.7276.89826139852-13.1982613985197
106264.8273.454313891385-8.65431389138475
107263.7279.495034652563-15.7950346525626
108255.9279.458200989385-23.5582009893847
109276.2289.753209847612-13.5532098476116
110360.1307.47020183618852.629798163812
111380.5334.50611060877745.9938893912233
112373.7337.1028838628236.5971161371804
113369.8338.94456702171530.8554329782847
114366.6337.02921653646429.5707834635363
115359.3334.08252348223125.2174765177693
116345.8331.22791458594214.5720854140577
117326.2327.91288489993-1.71288489993015
118324.5325.739698772433-1.23969877243324
119328.1327.6734660892740.426533910726318
120327.5324.376853234853.12314676514958
121324.4321.4485770122062.95142298779368
122316.5318.833386926574-2.33338692657442
123310.9316.015611693464-5.11561169346405
124301.5313.345171113065-11.8451711130653
125291.7310.674730532667-18.9747305326665
126290.4308.298959257691-17.8989592576911
127287.4305.886354319538-18.4863543195378
128277.7303.750001855219-26.0500018552188
129281.6301.834651369967-20.2346513699672
130288304.578759276722-16.5787592767218
131276307.6175364889-31.6175364888997
132272.9305.794270161593-32.894270161593
133283306.01527214066-23.0152721406604
134283.3309.55130380574-26.2513038057402
135276.8306.420442435617-29.6204424356175
136284.5307.930622625912-23.430622625912
137282.7306.715111741041-24.0151117410408
138281.2303.657917697274-22.457917697274
139287.4300.932226622108-13.5322266221084
140283.1298.280202873299-15.1802028732985
141284295.554511798133-11.554511798133
142285.5298.07761772582-12.57761772582
143289.2306.052105803838-16.8521058038384
144292.5303.418498886618-10.9184988866175
145296.4303.54741670774-7.14741670774027
146305.2297.9671167362867.23288326371366
147303.9296.3280187248697.57198127513081
148311.5308.2252919313353.27470806866473
149316.3305.11284739280211.1871526071984
150316.7306.62302758309610.076972416904
151322.5305.64693550888116.8530644911187
152317.1302.88441077053814.2155892294622
153309.8300.0298018742499.77019812575054
154303.8299.3483791054584.45162089454192
155290.3300.287637516495-9.98763751649486
156293.7297.285693967495-3.58569396749493
157291.7294.062748439427-2.36274843942748
158296.5290.7477187534155.75228124658476
159289.1294.394251408029-5.29425140802865
160288.5298.445954357599-9.94595435759919
161293.8295.333509819066-1.53350981906547
162297.7292.3683999332435.33160006675655
163305.4289.62429202648915.7757079735111
164302.7286.86176728814515.8382327118546
165302.5298.4459543575994.05404564240081
166303296.9357741673056.06422583269526
167294.5294.3390009132620.160999086738169
168294.1291.5948930065072.50510699349278
169294.5289.2375385631215.26246143687923
170297.1287.1196029303919.98039706960928
171289.4289.403290047421-0.00329004742140781
172292.4296.14385040898-3.7438504089796
173287.9294.007497944661-6.10749794466062
174286.6291.871145480342-5.27114548034158
175280.5289.826877173967-9.3268771739674
176272.4287.672107878059-15.2721078780595
177269.2284.909583139716-15.7095831397159
178270.6288.169362330961-17.5693623309612
179267.3287.045935604035-19.7459356040349
180262.5284.706997992237-22.2069979922374
181266.8284.706997992237-17.9069979922374
182268.8277.78226931479-8.9822693147896
183263.1274.356738639244-11.2567386392436
184261.2273.141227754372-11.9412277543725
185266271.94413370109-5.94413370109031
186262.5270.728622816219-8.22862281621915
187265.2263.7302268124161.46977318758444
188261.3257.5605882301153.739411769885
189253.7256.529245661133-2.82924566113343
190249.2255.497903092152-6.29790309215186
191239.1254.503394186348-15.4033941863482
192236.4253.472051617367-17.0720516173666
193235.2252.551210037919-17.3512100379188
194245.2251.667202121649-6.46720212164882
195246.2250.801611036968-4.60161103696785
196247.7255.608404081686-7.90840408168559
197251.4256.216159524121-4.81615952412114
198253.3254.926981312894-1.62698131289416
199254.8254.0061397334460.793860266553678
200250265.627160466078-15.6271604660781
201249.3264.614234728685-15.3142347286855
202241.5263.601308991293-22.1013089912929
203243.3263.085637706802-19.785637706802
204248261.630708011274-13.6307080112745
205253260.765116926594-7.7651169265935
206252.9273.380646565029-20.4806465650289
207251.5309.569720637329-58.0697206373291
208251.6307.414951341421-55.8149513414212
209253.5305.867937487949-52.3679374879488
210259.8307.635953320489-47.8359533204887
211334.1305.27859887710228.8214011228978
212448341.375588791458106.624411208542
213445.8367.52748964777678.2725103522237
214445372.33428269249472.665717307506
215448.2371.83702823959276.3629717604078
216438.2364.32296095129873.8770390487022
217439.8360.69484512827379.1051548717267
218423.4359.03733028526764.3626697147328
219410.8355.20662931476455.5933706852358
220408.4353.77011645082654.6298835491744
221406.7359.35041642227947.3495835777205
222405.9353.12552734521252.7744726547879
223402.7349.51582835377653.1841716462235
224405.1342.77526799221862.3247320077817
225399.6340.06799374864259.5320062513583
226386.5334.08252348223152.4174765177693
227381.4334.30352546129847.0964745387018
228375.2334.13777397699841.0622260230024
229357.7322.51675324436635.1832467556342
230359327.30512945749531.6948705425054
231355326.47637203599228.5236279640085
232352.7321.06182354883831.6381764511618
233344.4322.4430859180121.95691408199
234343.8320.30673345369123.493266546309
235338325.27927798270912.7207220172907
236339354.359455061672-15.3594550616722
237333.3357.913903558341-24.6139035583408
238334.4362.573361950347-28.1733619503469
239328.3362.647029276703-34.3470292767027
240330.7348.355567963672-17.6555679636723
241330339.497071969384-9.497071969384
242331.6374.470635156813-42.870635156813
243351.2455.302109000745-104.102109000745
244389.4436.977361569733-47.5773615697326
245410.9482.117015794266-71.2170157942658
246442.8482.2275167838-39.4275167837995
247462.8409.95986962873352.8401303712671
248466.9397.63900929572169.2609907042792
249461.7388.72526280666672.9747371933343
250439.2378.17241830619361.0275816938066
251430.3369.01925300648261.2807469935182
252416.1382.59245788754333.507542112457
253402.5382.18728759258620.3127124074141
254397.3395.1159033680342.18409663196633
255403.3367.38015499506535.9198450049353
256395.9370.47418270200925.4258172979906
257387.8349.31324320629838.486756793702
258378.6346.42180064683232.1781993531683
259377.1348.24506697413928.8549330258615
260370.4345.97979668869724.4202033113032
261362330.47282449079531.5271755092049
262350.3327.45246411020622.8475358897938
263348.2337.4528036630110.7471963369902
264344.6339.4418214746175.1581785253829
265343.5337.1949680207646.30503197923561
266342.8331.83567002837810.964329971622
267347.6333.99043932428613.6095606757141
268346.6331.2647482491215.3352517508797
269349.5328.2628047001221.2371952998797
270342.1328.37330568965413.726694310346
271342317.37845723104724.6215427689532
272342.8312.68216517586330.1178348241372
273339.3304.94709590850134.3529040914991
274348.2304.89184541373443.3081545862659
275333.7321.17232453837212.5276754616281
276334.7343.696109571666-8.99610957166617
277354326.66054035188127.3394596481189
278367.7317.28637307310250.4136269268979
279363.3319.29380771629844.0061922837017
280358.4311.61398894370346.7860110562966
281353.1309.49605331097343.6039466890267
282343.1299.56938108452643.5306189154745
283344.6298.98004247367945.6199575263211
284344.4291.63172666968552.7682733303148
285333.9290.08471281621343.8152871837872
286331.7292.18423161735439.5157683826461
287324.3294.59683655550729.7031634444928
288321.2291.79747815398629.4025218460142
289322.4285.81200788757536.5879921124252
290321.7274.13573666017647.5642633398238
291320.5274.52249012354445.9775098764557
292312.8280.4158762320132.3841237679896
293309.7287.61685738329322.0831426167074
294315.6267.98451490946547.6154850905355
295309.7267.26625847749542.4337415225047
296304.6268.40810203601136.1918979639894
297302.5270.06561687901732.4343831209833
298301.5259.27335356788842.226646432112
299298.8264.77998621298634.0200137870139
300291.3263.06722087521328.2327791247869
301293.6266.99000600366126.6099939963391
302294.6264.28273176008430.3172682399158
303285.9273.80423369157512.095766308425
304297.6279.45820098938518.1417990106153
305301.1268.51860302554432.5813969744557
306293.8263.74864364400530.0513563559955
307297.7251.02261301603546.6773869839647
308292.9247.63391600366745.2660839963327
309292.1257.63425555647134.4657444435292
310287.2257.63425555647129.5657444435292
311288.2263.8223109703624.3776890296397
312283.8250.69111004743433.1088899525659
313299.9258.46301297797441.4369870220261
314292.4255.92149021869836.4785097813021
315293.3249.99127044705443.3087295529463
316300.8254.77964666018346.0203533398175
317293.7257.56058823011536.139411769885
318293.1251.24361499510341.8563850048972
319294.4258.57351396750835.8264860324924
320292.1253.17738231194338.9226176880568
321291.9254.04297339662437.8570266033757
322282.5251.8145367743630.6854632256395
323277.9253.34313379624424.5568662037561
324287.5256.08724170299831.4127582970016
325289.2267.83718025675321.3628197432471
326285.6268.35285154124417.2471484587563
327293.2272.77289112259320.4271088774066
328290.8269.03427431003521.7657256899649
329283.1271.9441337010911.1558662989097
330275281.926056422305-6.9260564223049
331287.8266.40066739281421.3993326071857
332287.8268.20551688853219.5944831114679
333287.4280.7289623690236.67103763097727
334284278.6110267362935.38897326370732
335277.8293.731245470826-15.9312454708262
336277.6311.466654290992-33.8666542909917
337304.9312.884750323341-7.98475032334138
338294338.078975937034-44.0789759370343
339300.9363.770456003629-62.8704560036291
340324350.049916469856-26.0499164698563
341332.9344.745868972237-11.8458689722367
342341.6332.1303393338019.46966066619876
343333.4314.06342754503519.3365724549654
344348.2313.95292655550134.2470734444991
345344.7305.18651471915739.5134852808426
346344.7323.17975918156821.5202408184318
347329.3330.104487859016-0.804487859015983
348323.5330.233405680139-6.7334056801387
349323.2358.429574842832-35.2295748428316
350317.4341.099336317623-23.6993363176232
351330.1329.9571532063040.142846793695679
352329.2332.111922502212-2.91192250221231
353334.9325.7212819408449.1787180591557
354315.8312.8479166601632.95208333983656
355315.4315.1316037771940.268396222805889
356319.6326.421121541225-6.8211215412246
357317.3319.588477021722-2.28847702172164
358313.8316.97328693609-3.17328693608976
359315.8339.404987811439-23.6049878114392
360311.3353.733282787648-42.4332827876476






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
50.930549305670530.1389013886589390.0694506943294697
60.8752179379821860.2495641240356280.124782062017814
70.7989922186583070.4020155626833860.201007781341693
80.7067531501245560.5864936997508880.293246849875444
90.6132315487878950.773536902424210.386768451212105
100.5339607742405710.9320784515188580.466039225759429
110.4563460317192490.9126920634384990.543653968280751
120.4068537381728760.8137074763457530.593146261827124
130.3959076359657410.7918152719314830.604092364034259
140.371623541612010.7432470832240190.62837645838799
150.3518203792560790.7036407585121580.648179620743921
160.3020963356981560.6041926713963130.697903664301844
170.2513825483164980.5027650966329950.748617451683502
180.1987764089608440.3975528179216880.801223591039156
190.1526899180373860.3053798360747720.847310081962614
200.1135674719347930.2271349438695870.886432528065207
210.08299463328096630.1659892665619330.917005366719034
220.06239710152603540.1247942030520710.937602898473965
230.05065873968150040.1013174793630010.9493412603185
240.04320149600582080.08640299201164150.956798503994179
250.03638112599729630.07276225199459250.963618874002704
260.0361074461122920.0722148922245840.963892553887708
270.1838355312752020.3676710625504040.816164468724798
280.2207105234463690.4414210468927390.779289476553631
290.2004106003290850.4008212006581710.799589399670915
300.1650592491488880.3301184982977760.834940750851112
310.1375736380338690.2751472760677380.862426361966131
320.1289533315357620.2579066630715250.871046668464238
330.1089493428661140.2178986857322270.891050657133886
340.08921257327485980.178425146549720.91078742672514
350.07126571696819820.1425314339363960.928734283031802
360.05571099125259430.1114219825051890.944289008747406
370.04218466289979080.08436932579958160.957815337100209
380.03189887922716510.06379775845433020.968101120772835
390.02353713246645060.04707426493290120.976462867533549
400.01877698670844640.03755397341689290.981223013291554
410.01386724969925160.02773449939850330.986132750300748
420.009952091635589540.01990418327117910.99004790836441
430.00711995804823440.01423991609646880.992880041951766
440.005076469513757730.01015293902751550.994923530486242
450.00350524274653040.007010485493060810.99649475725347
460.00239797404271990.00479594808543980.99760202595728
470.001674466920678430.003348933841356850.998325533079322
480.001769842018503560.003539684037007120.998230157981496
490.001891716932251090.003783433864502180.998108283067749
500.002754050039341820.005508100078683640.997245949960658
510.003959285897700430.007918571795400860.9960407141023
520.005174108071022880.01034821614204580.994825891928977
530.006250635215606530.01250127043121310.993749364784393
540.006380833759811950.01276166751962390.993619166240188
550.006240329939399590.01248065987879920.9937596700606
560.005693274246017670.01138654849203530.994306725753982
570.004905546001061990.009811092002123980.995094453998938
580.006084370098365270.01216874019673050.993915629901635
590.0120669248275460.02413384965509210.987933075172454
600.0151445269427150.03028905388543010.984855473057285
610.01692488322933120.03384976645866250.983075116770669
620.01475720398428410.02951440796856830.985242796015716
630.01660126762957280.03320253525914560.983398732370427
640.01829076471060350.03658152942120690.981709235289397
650.01800187307006290.03600374614012580.981998126929937
660.0167340258629410.03346805172588210.983265974137059
670.01527668323951780.03055336647903550.984723316760482
680.01321712398324450.0264342479664890.986782876016756
690.01136317745443150.0227263549088630.988636822545569
700.016407111639270.03281422327854010.98359288836073
710.01912187973096950.0382437594619390.980878120269031
720.01908554288386070.03817108576772140.980914457116139
730.0174927887301930.0349855774603860.982507211269807
740.01550029121262060.03100058242524120.984499708787379
750.01401779192832980.02803558385665960.98598220807167
760.01280689564763810.02561379129527610.987193104352362
770.01168921037093080.02337842074186160.988310789629069
780.01070096589106080.02140193178212160.989299034108939
790.01016191971796110.02032383943592230.989838080282039
800.01053607195277430.02107214390554870.989463928047226
810.009815260076513490.0196305201530270.990184739923487
820.009153607339381320.01830721467876260.990846392660619
830.008506014783433980.0170120295668680.991493985216566
840.008222425373811890.01644485074762380.991777574626188
850.008180845831026940.01636169166205390.991819154168973
860.009479705543478220.01895941108695640.990520294456522
870.0113566624295580.0227133248591160.988643337570442
880.01332805553136040.02665611106272080.98667194446864
890.01585114156394850.03170228312789710.984148858436051
900.02017368566203070.04034737132406150.979826314337969
910.02939529794370570.05879059588741150.970604702056294
920.03447371316599140.06894742633198280.965526286834009
930.03832360026144210.07664720052288430.961676399738558
940.04601981067851330.09203962135702670.953980189321487
950.05510745370115590.1102149074023120.944892546298844
960.06145688844107230.1229137768821450.938543111558928
970.07210563805374640.1442112761074930.927894361946254
980.09152771707344030.1830554341468810.90847228292656
990.1029246116168750.205849223233750.897075388383125
1000.128680694850210.2573613897004210.87131930514979
1010.1697222406412050.339444481282410.830277759358795
1020.1948547598570670.3897095197141340.805145240142933
1030.229398019556440.458796039112880.77060198044356
1040.2591463634455170.5182927268910340.740853636554483
1050.2701519895578930.5403039791157860.729848010442107
1060.2878100996594520.5756201993189040.712189900340548
1070.2856917267110780.5713834534221550.714308273288922
1080.2778591718501210.5557183437002420.722140828149879
1090.2676057478397590.5352114956795180.732394252160241
1100.395756243217760.791512486435520.60424375678224
1110.4461581866248180.8923163732496350.553841813375182
1120.4607207907826430.9214415815652860.539279209217357
1130.4573324606327750.914664921265550.542667539367225
1140.4516859100115320.9033718200230630.548314089988468
1150.4401499828393570.8802999656787140.559850017160643
1160.4166242758617840.8332485517235680.583375724138216
1170.3871638419982330.7743276839964660.612836158001767
1180.3588622600646320.7177245201292650.641137739935368
1190.3310127129846150.662025425969230.668987287015385
1200.3058027776284990.6116055552569990.6941972223715
1210.2826763824735150.565352764947030.717323617526485
1220.259836290911920.5196725818238410.74016370908808
1230.2385280773677260.4770561547354510.761471922632274
1240.2190589438711490.4381178877422980.780941056128851
1250.2029731882024680.4059463764049360.797026811797532
1260.1875605700769070.3751211401538130.812439429923093
1270.1735003184855180.3470006369710350.826499681514482
1280.1633234856050190.3266469712100380.836676514394981
1290.1517990613346920.3035981226693830.848200938665308
1300.1397737544909850.2795475089819710.860226245509015
1310.1351950850040270.2703901700080550.864804914995973
1320.1316199366824250.2632398733648510.868380063317575
1330.1226316448957140.2452632897914270.877368355104286
1340.1158398884931110.2316797769862220.884160111506889
1350.111139710761850.22227942152370.88886028923815
1360.1037269313191370.2074538626382750.896273068680863
1370.0970356742522480.1940713485044960.902964325747752
1380.09040050971156550.1808010194231310.909599490288435
1390.08353536110478760.1670707222095750.916464638895212
1400.07767625053196310.1553525010639260.922323749468037
1410.07309880781856160.1461976156371230.926901192181438
1420.06793780905932820.1358756181186560.932062190940672
1430.0620102418560210.1240204837120420.937989758143979
1440.05656499802671130.1131299960534230.943435001973289
1450.05169634704294170.1033926940858830.948303652957058
1460.05217679829996890.1043535965999380.947823201700031
1470.05314407860896730.1062881572179350.946855921391033
1480.04892050915648520.09784101831297050.951079490843515
1490.04798543738123980.09597087476247970.95201456261876
1500.04610571203901650.09221142407803310.953894287960984
1510.0470434624351910.0940869248703820.952956537564809
1520.04754043706062790.09508087412125570.952459562939372
1530.04697699389414720.09395398778829440.953023006105853
1540.04480923473597680.08961846947195360.955190765264023
1550.0406705788254080.0813411576508160.959329421174592
1560.0376352034047480.07527040680949610.962364796595252
1570.03539885132185440.07079770264370880.964601148678146
1580.03538784099652950.0707756819930590.964612159003471
1590.03270920778636670.06541841557273340.967290792213633
1600.02959203081173830.05918406162347660.970407969188262
1610.02745394187675470.05490788375350950.972546058123245
1620.02671769036648130.05343538073296260.973282309633519
1630.02883089505473760.05766179010947510.971169104945262
1640.03128845046074080.06257690092148160.968711549539259
1650.02894519810435510.05789039620871010.971054801895645
1660.0271415602335280.05428312046705590.972858439766472
1670.02493687648800090.04987375297600190.975063123511999
1680.02330313688460260.04660627376920520.976696863115397
1690.02222731884873430.04445463769746870.977772681151266
1700.02199400550687250.0439880110137450.978005994493128
1710.02024331979365370.04048663958730750.979756680206346
1720.01806220721202790.03612441442405590.981937792787972
1730.0161249970978530.03224999419570590.983875002902147
1740.01444670460851050.0288934092170210.98555329539149
1750.01296474764513160.02592949529026320.987035252354868
1760.01179202753803970.02358405507607950.98820797246196
1770.01078908376371570.02157816752743150.989210916236284
1780.009898309361121920.01979661872224380.990101690638878
1790.009202365723786880.01840473144757380.990797634276213
1800.008721579304382340.01744315860876470.991278420695618
1810.008093576435946080.01618715287189220.991906423564054
1820.007471160452570960.01494232090514190.992528839547429
1830.006953590389536590.01390718077907320.993046409610463
1840.006488628606434030.01297725721286810.993511371393566
1850.006059250601591840.01211850120318370.993940749398408
1860.005648443615916450.01129688723183290.994351556384084
1870.005474214083004320.01094842816600860.994525785916996
1880.005401940806928540.01080388161385710.994598059193071
1890.005134911106934050.01026982221386810.994865088893066
1900.004838390806280840.009676781612561680.995161609193719
1910.004660132407276810.009320264814553630.995339867592723
1920.004556693392878450.00911338678575690.995443306607122
1930.00449763656731720.008995273134634410.995502363432683
1940.004277545578309330.008555091156618650.995722454421691
1950.004058655405826790.008117310811653590.995941344594173
1960.00383859177063630.007677183541272590.996161408229364
1970.003602086297342840.007204172594685690.996397913702657
1980.003372221352189320.006744442704378640.996627778647811
1990.003153526557383660.006307053114767320.996846473442616
2000.003103246609126380.006206493218252760.996896753390874
2010.003075259800427660.006150519600855310.996924740199572
2020.003316250243802960.006632500487605920.996683749756197
2030.003525476818230530.007050953636461070.996474523181769
2040.003571461560926310.007142923121852630.996428538439074
2050.003500602772952550.00700120554590510.996499397227048
2060.003791238932812540.007582477865625080.996208761067187
2070.008641729038619630.01728345807723930.99135827096138
2080.01785267917959160.03570535835918310.982147320820408
2090.03278223292866340.06556446585732690.967217767071337
2100.05283992621771360.1056798524354270.947160073782286
2110.0541191450430620.1082382900861240.945880854956938
2120.2386364167915970.4772728335831940.761363583208403
2130.3839315795993460.7678631591986920.616068420400654
2140.512702627638790.974594744722420.48729737236121
2150.653427239238090.6931455215238210.34657276076191
2160.7640632499257670.4718735001484650.235936750074233
2170.8663541084441360.2672917831117290.133645891555864
2180.90729697540980.18540604918040.0927030245901998
2190.9269654901942750.1460690196114510.0730345098057254
2200.9423670239281350.1152659521437310.0576329760718654
2210.949645691370910.100708617258180.0503543086290901
2220.9599687315591980.08006253688160420.0400312684408021
2230.9687899501866530.06242009962669340.0312100498133467
2240.9804995886708210.0390008226583590.0195004113291795
2250.9873978320232340.02520433595353260.0126021679767663
2260.9904873096017020.01902538079659650.00951269039829826
2270.9920102913848490.01597941723030290.00798970861515145
2280.9924855665275290.01502886694494250.00751443347247125
2290.992226654572070.01554669085585940.0077733454279297
2300.9915666578367490.0168666843265020.00843334216325101
2310.9905269698249370.01894606035012630.00947303017506315
2320.9897489453778050.02050210924439080.0102510546221954
2330.9879025322247420.02419493555051620.0120974677752581
2340.9859315585832140.02813688283357280.0140684414167864
2350.9828916469958080.03421670600838380.0171083530041919
2360.9821072043605210.0357855912789580.017892795639479
2370.9835719099233780.03285618015324380.0164280900766219
2380.9858055430080450.02838891398391020.0141944569919551
2390.9891910387758470.02161792244830640.0108089612241532
2400.988920230518180.02215953896363910.0110797694818196
2410.9875703830640060.02485923387198750.0124296169359938
2420.9923562076645370.01528758467092510.00764379233546253
2430.9997786579849040.0004426840301926040.000221342015096302
2440.999887031657770.0002259366844594360.000112968342229718
2450.9999801389333173.97221333665235e-051.98610666832617e-05
2460.9999857812554092.84374891819449e-051.42187445909725e-05
2470.9999934038869261.31922261486048e-056.59611307430241e-06
2480.9999990628489681.87430206381724e-069.37151031908618e-07
2490.999999939292711.21414580119891e-076.07072900599455e-08
2500.9999999925105541.49788910368439e-087.48944551842195e-09
2510.9999999993241831.35163421435287e-096.75817107176435e-10
2520.9999999996702856.59429676809066e-103.29714838404533e-10
2530.9999999996967136.06573538665059e-103.0328676933253e-10
2540.9999999995720438.55913601200022e-104.27956800600011e-10
2550.9999999998314213.37158236856889e-101.68579118428445e-10
2560.9999999998923712.15258822641631e-101.07629411320815e-10
2570.9999999999597118.05784657300609e-114.02892328650304e-11
2580.9999999999769014.61979550100647e-112.30989775050324e-11
2590.9999999999855362.89283918715098e-111.44641959357549e-11
2600.9999999999881572.36850063964888e-111.18425031982444e-11
2610.9999999999912981.740358660174e-118.70179330087001e-12
2620.9999999999893042.13929467183644e-111.06964733591822e-11
2630.9999999999826873.46266189577131e-111.73133094788565e-11
2640.9999999999692086.15848822191232e-113.07924411095616e-11
2650.9999999999458581.0828339673501e-105.41416983675051e-11
2660.999999999910081.79840867532444e-108.9920433766222e-11
2670.9999999998658282.68343202714605e-101.34171601357303e-10
2680.9999999998057823.88436426524354e-101.94218213262177e-10
2690.9999999997675734.64854272404266e-102.32427136202133e-10
2700.9999999996419897.16021977330416e-103.58010988665208e-10
2710.9999999995586718.82658916093068e-104.41329458046534e-10
2720.999999999540269.19480954526312e-104.59740477263156e-10
2730.9999999995488919.02218400544717e-104.51109200272358e-10
2740.9999999997496535.00694885286229e-102.50347442643114e-10
2750.9999999995818668.36266990577819e-104.18133495288909e-10
2760.9999999992259681.54806330795681e-097.74031653978406e-10
2770.9999999993935491.2129014635802e-096.064507317901e-10
2780.9999999999149271.70146290028096e-108.5073145014048e-11
2790.9999999999839513.20988976409487e-111.60494488204743e-11
2800.9999999999973075.38644820171648e-122.69322410085824e-12
2810.9999999999994051.18998179449537e-125.94990897247683e-13
2820.999999999999794.19486904283149e-132.09743452141574e-13
2830.9999999999999471.05794075092946e-135.28970375464731e-14
2840.9999999999999931.46165679083386e-147.30828395416932e-15
2850.9999999999999976.18188905724818e-153.09094452862409e-15
2860.9999999999999983.44990126844543e-151.72495063422272e-15
2870.9999999999999984.08545258191883e-152.04272629095941e-15
2880.9999999999999975.4744996206295e-152.73724981031475e-15
2890.9999999999999975.35254693716277e-152.67627346858138e-15
2900.9999999999999983.29156450305893e-151.64578225152947e-15
2910.9999999999999992.23909606085816e-151.11954803042908e-15
2920.9999999999999983.55955301574237e-151.77977650787119e-15
2930.9999999999999967.69633408680136e-153.84816704340068e-15
2940.9999999999999976.13844068460894e-153.06922034230447e-15
2950.9999999999999967.77116043884242e-153.88558021942121e-15
2960.9999999999999931.3926691640645e-146.9633458203225e-15
2970.9999999999999862.83093407927653e-141.41546703963826e-14
2980.9999999999999774.68769083248409e-142.34384541624205e-14
2990.9999999999999519.79634413328786e-144.89817206664393e-14
3000.9999999999998872.26138941454396e-131.13069470727198e-13
3010.9999999999997365.27086668404142e-132.63543334202071e-13
3020.9999999999994051.19091663038838e-125.95458315194189e-13
3030.9999999999988452.31044769627954e-121.15522384813977e-12
3040.9999999999972445.51221025238188e-122.75610512619094e-12
3050.9999999999943321.13360250223688e-115.6680125111844e-12
3060.9999999999873152.53699917599007e-111.26849958799503e-11
3070.9999999999788674.2265491324068e-112.1132745662034e-11
3080.9999999999605597.8881232019302e-113.9440616009651e-11
3090.9999999999146531.70694088848477e-108.53470444242384e-11
3100.9999999998116823.76635987113931e-101.88317993556965e-10
3110.9999999995857328.28535484765241e-104.1426774238262e-10
3120.9999999991188831.76223444291195e-098.81117221455973e-10
3130.9999999984399973.12000630105175e-091.56000315052587e-09
3140.9999999967604026.47919639578432e-093.23959819789216e-09
3150.999999993911511.217698070641e-086.088490353205e-09
3160.9999999907706421.84587152006805e-089.22935760034024e-09
3170.999999981508963.6982079513826e-081.8491039756913e-08
3180.9999999659648276.80703458198876e-083.40351729099438e-08
3190.9999999339956571.32008686245801e-076.60043431229006e-08
3200.9999998759047712.4819045823041e-071.24095229115205e-07
3210.9999997674437314.6511253738148e-072.3255626869074e-07
3220.9999995136835589.72632883587936e-074.86316441793968e-07
3230.9999990158642291.96827154237094e-069.8413577118547e-07
3240.999998012345223.97530955970235e-061.98765477985117e-06
3250.9999959132999958.17340000931601e-064.086700004658e-06
3260.999991880102611.62397947801697e-058.11989739008487e-06
3270.9999837498676643.2500264672915e-051.62501323364575e-05
3280.9999680076677016.39846645988738e-053.19923322994369e-05
3290.9999431205247460.0001137589505081915.68794752540954e-05
3300.9999395903340780.0001208193318432696.04096659216347e-05
3310.999889511909710.0002209761805793510.000110488090289675
3320.999809736769050.0003805264618992450.000190263230949623
3330.9997365274997350.0005269450005304670.000263472500265234
3340.9997602900882330.0004794198235341920.000239709911767096
3350.9999538015686739.23968626538159e-054.61984313269079e-05
3360.9999986891137592.62177248211331e-061.31088624105665e-06
3370.9999992874506951.4250986097515e-067.12549304875752e-07
3380.9999998361463263.27707348154549e-071.63853674077275e-07
3390.999999794935164.10129679126306e-072.05064839563153e-07
3400.9999993476653031.30466939425921e-066.52334697129607e-07
3410.99999858674662.82650680075372e-061.41325340037686e-06
3420.999998344569243.31086152040174e-061.65543076020087e-06
3430.9999947725109361.04549781284397e-055.22748906421986e-06
3440.9999961090069617.78198607730584e-063.89099303865292e-06
3450.999996743315656.51336870045377e-063.25668435022689e-06
3460.9999994749075071.05018498657304e-065.25092493286522e-07
3470.9999985934082362.8131835278355e-061.40659176391775e-06
3480.9999936867650471.26264699066899e-056.31323495334495e-06
3490.9999733772582235.32454835539453e-052.66227417769726e-05
3500.999885646515610.0002287069687796220.000114353484389811
3510.9997539431377710.0004921137244580570.000246056862229029
3520.9995254078867740.0009491842264513550.000474592113225678
3530.9999941013937321.17972125357719e-055.89860626788593e-06
3540.999919551658310.0001608966833808078.04483416904033e-05
3550.9990659572781470.001868085443705280.00093404272185264

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
5 & 0.93054930567053 & 0.138901388658939 & 0.0694506943294697 \tabularnewline
6 & 0.875217937982186 & 0.249564124035628 & 0.124782062017814 \tabularnewline
7 & 0.798992218658307 & 0.402015562683386 & 0.201007781341693 \tabularnewline
8 & 0.706753150124556 & 0.586493699750888 & 0.293246849875444 \tabularnewline
9 & 0.613231548787895 & 0.77353690242421 & 0.386768451212105 \tabularnewline
10 & 0.533960774240571 & 0.932078451518858 & 0.466039225759429 \tabularnewline
11 & 0.456346031719249 & 0.912692063438499 & 0.543653968280751 \tabularnewline
12 & 0.406853738172876 & 0.813707476345753 & 0.593146261827124 \tabularnewline
13 & 0.395907635965741 & 0.791815271931483 & 0.604092364034259 \tabularnewline
14 & 0.37162354161201 & 0.743247083224019 & 0.62837645838799 \tabularnewline
15 & 0.351820379256079 & 0.703640758512158 & 0.648179620743921 \tabularnewline
16 & 0.302096335698156 & 0.604192671396313 & 0.697903664301844 \tabularnewline
17 & 0.251382548316498 & 0.502765096632995 & 0.748617451683502 \tabularnewline
18 & 0.198776408960844 & 0.397552817921688 & 0.801223591039156 \tabularnewline
19 & 0.152689918037386 & 0.305379836074772 & 0.847310081962614 \tabularnewline
20 & 0.113567471934793 & 0.227134943869587 & 0.886432528065207 \tabularnewline
21 & 0.0829946332809663 & 0.165989266561933 & 0.917005366719034 \tabularnewline
22 & 0.0623971015260354 & 0.124794203052071 & 0.937602898473965 \tabularnewline
23 & 0.0506587396815004 & 0.101317479363001 & 0.9493412603185 \tabularnewline
24 & 0.0432014960058208 & 0.0864029920116415 & 0.956798503994179 \tabularnewline
25 & 0.0363811259972963 & 0.0727622519945925 & 0.963618874002704 \tabularnewline
26 & 0.036107446112292 & 0.072214892224584 & 0.963892553887708 \tabularnewline
27 & 0.183835531275202 & 0.367671062550404 & 0.816164468724798 \tabularnewline
28 & 0.220710523446369 & 0.441421046892739 & 0.779289476553631 \tabularnewline
29 & 0.200410600329085 & 0.400821200658171 & 0.799589399670915 \tabularnewline
30 & 0.165059249148888 & 0.330118498297776 & 0.834940750851112 \tabularnewline
31 & 0.137573638033869 & 0.275147276067738 & 0.862426361966131 \tabularnewline
32 & 0.128953331535762 & 0.257906663071525 & 0.871046668464238 \tabularnewline
33 & 0.108949342866114 & 0.217898685732227 & 0.891050657133886 \tabularnewline
34 & 0.0892125732748598 & 0.17842514654972 & 0.91078742672514 \tabularnewline
35 & 0.0712657169681982 & 0.142531433936396 & 0.928734283031802 \tabularnewline
36 & 0.0557109912525943 & 0.111421982505189 & 0.944289008747406 \tabularnewline
37 & 0.0421846628997908 & 0.0843693257995816 & 0.957815337100209 \tabularnewline
38 & 0.0318988792271651 & 0.0637977584543302 & 0.968101120772835 \tabularnewline
39 & 0.0235371324664506 & 0.0470742649329012 & 0.976462867533549 \tabularnewline
40 & 0.0187769867084464 & 0.0375539734168929 & 0.981223013291554 \tabularnewline
41 & 0.0138672496992516 & 0.0277344993985033 & 0.986132750300748 \tabularnewline
42 & 0.00995209163558954 & 0.0199041832711791 & 0.99004790836441 \tabularnewline
43 & 0.0071199580482344 & 0.0142399160964688 & 0.992880041951766 \tabularnewline
44 & 0.00507646951375773 & 0.0101529390275155 & 0.994923530486242 \tabularnewline
45 & 0.0035052427465304 & 0.00701048549306081 & 0.99649475725347 \tabularnewline
46 & 0.0023979740427199 & 0.0047959480854398 & 0.99760202595728 \tabularnewline
47 & 0.00167446692067843 & 0.00334893384135685 & 0.998325533079322 \tabularnewline
48 & 0.00176984201850356 & 0.00353968403700712 & 0.998230157981496 \tabularnewline
49 & 0.00189171693225109 & 0.00378343386450218 & 0.998108283067749 \tabularnewline
50 & 0.00275405003934182 & 0.00550810007868364 & 0.997245949960658 \tabularnewline
51 & 0.00395928589770043 & 0.00791857179540086 & 0.9960407141023 \tabularnewline
52 & 0.00517410807102288 & 0.0103482161420458 & 0.994825891928977 \tabularnewline
53 & 0.00625063521560653 & 0.0125012704312131 & 0.993749364784393 \tabularnewline
54 & 0.00638083375981195 & 0.0127616675196239 & 0.993619166240188 \tabularnewline
55 & 0.00624032993939959 & 0.0124806598787992 & 0.9937596700606 \tabularnewline
56 & 0.00569327424601767 & 0.0113865484920353 & 0.994306725753982 \tabularnewline
57 & 0.00490554600106199 & 0.00981109200212398 & 0.995094453998938 \tabularnewline
58 & 0.00608437009836527 & 0.0121687401967305 & 0.993915629901635 \tabularnewline
59 & 0.012066924827546 & 0.0241338496550921 & 0.987933075172454 \tabularnewline
60 & 0.015144526942715 & 0.0302890538854301 & 0.984855473057285 \tabularnewline
61 & 0.0169248832293312 & 0.0338497664586625 & 0.983075116770669 \tabularnewline
62 & 0.0147572039842841 & 0.0295144079685683 & 0.985242796015716 \tabularnewline
63 & 0.0166012676295728 & 0.0332025352591456 & 0.983398732370427 \tabularnewline
64 & 0.0182907647106035 & 0.0365815294212069 & 0.981709235289397 \tabularnewline
65 & 0.0180018730700629 & 0.0360037461401258 & 0.981998126929937 \tabularnewline
66 & 0.016734025862941 & 0.0334680517258821 & 0.983265974137059 \tabularnewline
67 & 0.0152766832395178 & 0.0305533664790355 & 0.984723316760482 \tabularnewline
68 & 0.0132171239832445 & 0.026434247966489 & 0.986782876016756 \tabularnewline
69 & 0.0113631774544315 & 0.022726354908863 & 0.988636822545569 \tabularnewline
70 & 0.01640711163927 & 0.0328142232785401 & 0.98359288836073 \tabularnewline
71 & 0.0191218797309695 & 0.038243759461939 & 0.980878120269031 \tabularnewline
72 & 0.0190855428838607 & 0.0381710857677214 & 0.980914457116139 \tabularnewline
73 & 0.017492788730193 & 0.034985577460386 & 0.982507211269807 \tabularnewline
74 & 0.0155002912126206 & 0.0310005824252412 & 0.984499708787379 \tabularnewline
75 & 0.0140177919283298 & 0.0280355838566596 & 0.98598220807167 \tabularnewline
76 & 0.0128068956476381 & 0.0256137912952761 & 0.987193104352362 \tabularnewline
77 & 0.0116892103709308 & 0.0233784207418616 & 0.988310789629069 \tabularnewline
78 & 0.0107009658910608 & 0.0214019317821216 & 0.989299034108939 \tabularnewline
79 & 0.0101619197179611 & 0.0203238394359223 & 0.989838080282039 \tabularnewline
80 & 0.0105360719527743 & 0.0210721439055487 & 0.989463928047226 \tabularnewline
81 & 0.00981526007651349 & 0.019630520153027 & 0.990184739923487 \tabularnewline
82 & 0.00915360733938132 & 0.0183072146787626 & 0.990846392660619 \tabularnewline
83 & 0.00850601478343398 & 0.017012029566868 & 0.991493985216566 \tabularnewline
84 & 0.00822242537381189 & 0.0164448507476238 & 0.991777574626188 \tabularnewline
85 & 0.00818084583102694 & 0.0163616916620539 & 0.991819154168973 \tabularnewline
86 & 0.00947970554347822 & 0.0189594110869564 & 0.990520294456522 \tabularnewline
87 & 0.011356662429558 & 0.022713324859116 & 0.988643337570442 \tabularnewline
88 & 0.0133280555313604 & 0.0266561110627208 & 0.98667194446864 \tabularnewline
89 & 0.0158511415639485 & 0.0317022831278971 & 0.984148858436051 \tabularnewline
90 & 0.0201736856620307 & 0.0403473713240615 & 0.979826314337969 \tabularnewline
91 & 0.0293952979437057 & 0.0587905958874115 & 0.970604702056294 \tabularnewline
92 & 0.0344737131659914 & 0.0689474263319828 & 0.965526286834009 \tabularnewline
93 & 0.0383236002614421 & 0.0766472005228843 & 0.961676399738558 \tabularnewline
94 & 0.0460198106785133 & 0.0920396213570267 & 0.953980189321487 \tabularnewline
95 & 0.0551074537011559 & 0.110214907402312 & 0.944892546298844 \tabularnewline
96 & 0.0614568884410723 & 0.122913776882145 & 0.938543111558928 \tabularnewline
97 & 0.0721056380537464 & 0.144211276107493 & 0.927894361946254 \tabularnewline
98 & 0.0915277170734403 & 0.183055434146881 & 0.90847228292656 \tabularnewline
99 & 0.102924611616875 & 0.20584922323375 & 0.897075388383125 \tabularnewline
100 & 0.12868069485021 & 0.257361389700421 & 0.87131930514979 \tabularnewline
101 & 0.169722240641205 & 0.33944448128241 & 0.830277759358795 \tabularnewline
102 & 0.194854759857067 & 0.389709519714134 & 0.805145240142933 \tabularnewline
103 & 0.22939801955644 & 0.45879603911288 & 0.77060198044356 \tabularnewline
104 & 0.259146363445517 & 0.518292726891034 & 0.740853636554483 \tabularnewline
105 & 0.270151989557893 & 0.540303979115786 & 0.729848010442107 \tabularnewline
106 & 0.287810099659452 & 0.575620199318904 & 0.712189900340548 \tabularnewline
107 & 0.285691726711078 & 0.571383453422155 & 0.714308273288922 \tabularnewline
108 & 0.277859171850121 & 0.555718343700242 & 0.722140828149879 \tabularnewline
109 & 0.267605747839759 & 0.535211495679518 & 0.732394252160241 \tabularnewline
110 & 0.39575624321776 & 0.79151248643552 & 0.60424375678224 \tabularnewline
111 & 0.446158186624818 & 0.892316373249635 & 0.553841813375182 \tabularnewline
112 & 0.460720790782643 & 0.921441581565286 & 0.539279209217357 \tabularnewline
113 & 0.457332460632775 & 0.91466492126555 & 0.542667539367225 \tabularnewline
114 & 0.451685910011532 & 0.903371820023063 & 0.548314089988468 \tabularnewline
115 & 0.440149982839357 & 0.880299965678714 & 0.559850017160643 \tabularnewline
116 & 0.416624275861784 & 0.833248551723568 & 0.583375724138216 \tabularnewline
117 & 0.387163841998233 & 0.774327683996466 & 0.612836158001767 \tabularnewline
118 & 0.358862260064632 & 0.717724520129265 & 0.641137739935368 \tabularnewline
119 & 0.331012712984615 & 0.66202542596923 & 0.668987287015385 \tabularnewline
120 & 0.305802777628499 & 0.611605555256999 & 0.6941972223715 \tabularnewline
121 & 0.282676382473515 & 0.56535276494703 & 0.717323617526485 \tabularnewline
122 & 0.25983629091192 & 0.519672581823841 & 0.74016370908808 \tabularnewline
123 & 0.238528077367726 & 0.477056154735451 & 0.761471922632274 \tabularnewline
124 & 0.219058943871149 & 0.438117887742298 & 0.780941056128851 \tabularnewline
125 & 0.202973188202468 & 0.405946376404936 & 0.797026811797532 \tabularnewline
126 & 0.187560570076907 & 0.375121140153813 & 0.812439429923093 \tabularnewline
127 & 0.173500318485518 & 0.347000636971035 & 0.826499681514482 \tabularnewline
128 & 0.163323485605019 & 0.326646971210038 & 0.836676514394981 \tabularnewline
129 & 0.151799061334692 & 0.303598122669383 & 0.848200938665308 \tabularnewline
130 & 0.139773754490985 & 0.279547508981971 & 0.860226245509015 \tabularnewline
131 & 0.135195085004027 & 0.270390170008055 & 0.864804914995973 \tabularnewline
132 & 0.131619936682425 & 0.263239873364851 & 0.868380063317575 \tabularnewline
133 & 0.122631644895714 & 0.245263289791427 & 0.877368355104286 \tabularnewline
134 & 0.115839888493111 & 0.231679776986222 & 0.884160111506889 \tabularnewline
135 & 0.11113971076185 & 0.2222794215237 & 0.88886028923815 \tabularnewline
136 & 0.103726931319137 & 0.207453862638275 & 0.896273068680863 \tabularnewline
137 & 0.097035674252248 & 0.194071348504496 & 0.902964325747752 \tabularnewline
138 & 0.0904005097115655 & 0.180801019423131 & 0.909599490288435 \tabularnewline
139 & 0.0835353611047876 & 0.167070722209575 & 0.916464638895212 \tabularnewline
140 & 0.0776762505319631 & 0.155352501063926 & 0.922323749468037 \tabularnewline
141 & 0.0730988078185616 & 0.146197615637123 & 0.926901192181438 \tabularnewline
142 & 0.0679378090593282 & 0.135875618118656 & 0.932062190940672 \tabularnewline
143 & 0.062010241856021 & 0.124020483712042 & 0.937989758143979 \tabularnewline
144 & 0.0565649980267113 & 0.113129996053423 & 0.943435001973289 \tabularnewline
145 & 0.0516963470429417 & 0.103392694085883 & 0.948303652957058 \tabularnewline
146 & 0.0521767982999689 & 0.104353596599938 & 0.947823201700031 \tabularnewline
147 & 0.0531440786089673 & 0.106288157217935 & 0.946855921391033 \tabularnewline
148 & 0.0489205091564852 & 0.0978410183129705 & 0.951079490843515 \tabularnewline
149 & 0.0479854373812398 & 0.0959708747624797 & 0.95201456261876 \tabularnewline
150 & 0.0461057120390165 & 0.0922114240780331 & 0.953894287960984 \tabularnewline
151 & 0.047043462435191 & 0.094086924870382 & 0.952956537564809 \tabularnewline
152 & 0.0475404370606279 & 0.0950808741212557 & 0.952459562939372 \tabularnewline
153 & 0.0469769938941472 & 0.0939539877882944 & 0.953023006105853 \tabularnewline
154 & 0.0448092347359768 & 0.0896184694719536 & 0.955190765264023 \tabularnewline
155 & 0.040670578825408 & 0.081341157650816 & 0.959329421174592 \tabularnewline
156 & 0.037635203404748 & 0.0752704068094961 & 0.962364796595252 \tabularnewline
157 & 0.0353988513218544 & 0.0707977026437088 & 0.964601148678146 \tabularnewline
158 & 0.0353878409965295 & 0.070775681993059 & 0.964612159003471 \tabularnewline
159 & 0.0327092077863667 & 0.0654184155727334 & 0.967290792213633 \tabularnewline
160 & 0.0295920308117383 & 0.0591840616234766 & 0.970407969188262 \tabularnewline
161 & 0.0274539418767547 & 0.0549078837535095 & 0.972546058123245 \tabularnewline
162 & 0.0267176903664813 & 0.0534353807329626 & 0.973282309633519 \tabularnewline
163 & 0.0288308950547376 & 0.0576617901094751 & 0.971169104945262 \tabularnewline
164 & 0.0312884504607408 & 0.0625769009214816 & 0.968711549539259 \tabularnewline
165 & 0.0289451981043551 & 0.0578903962087101 & 0.971054801895645 \tabularnewline
166 & 0.027141560233528 & 0.0542831204670559 & 0.972858439766472 \tabularnewline
167 & 0.0249368764880009 & 0.0498737529760019 & 0.975063123511999 \tabularnewline
168 & 0.0233031368846026 & 0.0466062737692052 & 0.976696863115397 \tabularnewline
169 & 0.0222273188487343 & 0.0444546376974687 & 0.977772681151266 \tabularnewline
170 & 0.0219940055068725 & 0.043988011013745 & 0.978005994493128 \tabularnewline
171 & 0.0202433197936537 & 0.0404866395873075 & 0.979756680206346 \tabularnewline
172 & 0.0180622072120279 & 0.0361244144240559 & 0.981937792787972 \tabularnewline
173 & 0.016124997097853 & 0.0322499941957059 & 0.983875002902147 \tabularnewline
174 & 0.0144467046085105 & 0.028893409217021 & 0.98555329539149 \tabularnewline
175 & 0.0129647476451316 & 0.0259294952902632 & 0.987035252354868 \tabularnewline
176 & 0.0117920275380397 & 0.0235840550760795 & 0.98820797246196 \tabularnewline
177 & 0.0107890837637157 & 0.0215781675274315 & 0.989210916236284 \tabularnewline
178 & 0.00989830936112192 & 0.0197966187222438 & 0.990101690638878 \tabularnewline
179 & 0.00920236572378688 & 0.0184047314475738 & 0.990797634276213 \tabularnewline
180 & 0.00872157930438234 & 0.0174431586087647 & 0.991278420695618 \tabularnewline
181 & 0.00809357643594608 & 0.0161871528718922 & 0.991906423564054 \tabularnewline
182 & 0.00747116045257096 & 0.0149423209051419 & 0.992528839547429 \tabularnewline
183 & 0.00695359038953659 & 0.0139071807790732 & 0.993046409610463 \tabularnewline
184 & 0.00648862860643403 & 0.0129772572128681 & 0.993511371393566 \tabularnewline
185 & 0.00605925060159184 & 0.0121185012031837 & 0.993940749398408 \tabularnewline
186 & 0.00564844361591645 & 0.0112968872318329 & 0.994351556384084 \tabularnewline
187 & 0.00547421408300432 & 0.0109484281660086 & 0.994525785916996 \tabularnewline
188 & 0.00540194080692854 & 0.0108038816138571 & 0.994598059193071 \tabularnewline
189 & 0.00513491110693405 & 0.0102698222138681 & 0.994865088893066 \tabularnewline
190 & 0.00483839080628084 & 0.00967678161256168 & 0.995161609193719 \tabularnewline
191 & 0.00466013240727681 & 0.00932026481455363 & 0.995339867592723 \tabularnewline
192 & 0.00455669339287845 & 0.0091133867857569 & 0.995443306607122 \tabularnewline
193 & 0.0044976365673172 & 0.00899527313463441 & 0.995502363432683 \tabularnewline
194 & 0.00427754557830933 & 0.00855509115661865 & 0.995722454421691 \tabularnewline
195 & 0.00405865540582679 & 0.00811731081165359 & 0.995941344594173 \tabularnewline
196 & 0.0038385917706363 & 0.00767718354127259 & 0.996161408229364 \tabularnewline
197 & 0.00360208629734284 & 0.00720417259468569 & 0.996397913702657 \tabularnewline
198 & 0.00337222135218932 & 0.00674444270437864 & 0.996627778647811 \tabularnewline
199 & 0.00315352655738366 & 0.00630705311476732 & 0.996846473442616 \tabularnewline
200 & 0.00310324660912638 & 0.00620649321825276 & 0.996896753390874 \tabularnewline
201 & 0.00307525980042766 & 0.00615051960085531 & 0.996924740199572 \tabularnewline
202 & 0.00331625024380296 & 0.00663250048760592 & 0.996683749756197 \tabularnewline
203 & 0.00352547681823053 & 0.00705095363646107 & 0.996474523181769 \tabularnewline
204 & 0.00357146156092631 & 0.00714292312185263 & 0.996428538439074 \tabularnewline
205 & 0.00350060277295255 & 0.0070012055459051 & 0.996499397227048 \tabularnewline
206 & 0.00379123893281254 & 0.00758247786562508 & 0.996208761067187 \tabularnewline
207 & 0.00864172903861963 & 0.0172834580772393 & 0.99135827096138 \tabularnewline
208 & 0.0178526791795916 & 0.0357053583591831 & 0.982147320820408 \tabularnewline
209 & 0.0327822329286634 & 0.0655644658573269 & 0.967217767071337 \tabularnewline
210 & 0.0528399262177136 & 0.105679852435427 & 0.947160073782286 \tabularnewline
211 & 0.054119145043062 & 0.108238290086124 & 0.945880854956938 \tabularnewline
212 & 0.238636416791597 & 0.477272833583194 & 0.761363583208403 \tabularnewline
213 & 0.383931579599346 & 0.767863159198692 & 0.616068420400654 \tabularnewline
214 & 0.51270262763879 & 0.97459474472242 & 0.48729737236121 \tabularnewline
215 & 0.65342723923809 & 0.693145521523821 & 0.34657276076191 \tabularnewline
216 & 0.764063249925767 & 0.471873500148465 & 0.235936750074233 \tabularnewline
217 & 0.866354108444136 & 0.267291783111729 & 0.133645891555864 \tabularnewline
218 & 0.9072969754098 & 0.1854060491804 & 0.0927030245901998 \tabularnewline
219 & 0.926965490194275 & 0.146069019611451 & 0.0730345098057254 \tabularnewline
220 & 0.942367023928135 & 0.115265952143731 & 0.0576329760718654 \tabularnewline
221 & 0.94964569137091 & 0.10070861725818 & 0.0503543086290901 \tabularnewline
222 & 0.959968731559198 & 0.0800625368816042 & 0.0400312684408021 \tabularnewline
223 & 0.968789950186653 & 0.0624200996266934 & 0.0312100498133467 \tabularnewline
224 & 0.980499588670821 & 0.039000822658359 & 0.0195004113291795 \tabularnewline
225 & 0.987397832023234 & 0.0252043359535326 & 0.0126021679767663 \tabularnewline
226 & 0.990487309601702 & 0.0190253807965965 & 0.00951269039829826 \tabularnewline
227 & 0.992010291384849 & 0.0159794172303029 & 0.00798970861515145 \tabularnewline
228 & 0.992485566527529 & 0.0150288669449425 & 0.00751443347247125 \tabularnewline
229 & 0.99222665457207 & 0.0155466908558594 & 0.0077733454279297 \tabularnewline
230 & 0.991566657836749 & 0.016866684326502 & 0.00843334216325101 \tabularnewline
231 & 0.990526969824937 & 0.0189460603501263 & 0.00947303017506315 \tabularnewline
232 & 0.989748945377805 & 0.0205021092443908 & 0.0102510546221954 \tabularnewline
233 & 0.987902532224742 & 0.0241949355505162 & 0.0120974677752581 \tabularnewline
234 & 0.985931558583214 & 0.0281368828335728 & 0.0140684414167864 \tabularnewline
235 & 0.982891646995808 & 0.0342167060083838 & 0.0171083530041919 \tabularnewline
236 & 0.982107204360521 & 0.035785591278958 & 0.017892795639479 \tabularnewline
237 & 0.983571909923378 & 0.0328561801532438 & 0.0164280900766219 \tabularnewline
238 & 0.985805543008045 & 0.0283889139839102 & 0.0141944569919551 \tabularnewline
239 & 0.989191038775847 & 0.0216179224483064 & 0.0108089612241532 \tabularnewline
240 & 0.98892023051818 & 0.0221595389636391 & 0.0110797694818196 \tabularnewline
241 & 0.987570383064006 & 0.0248592338719875 & 0.0124296169359938 \tabularnewline
242 & 0.992356207664537 & 0.0152875846709251 & 0.00764379233546253 \tabularnewline
243 & 0.999778657984904 & 0.000442684030192604 & 0.000221342015096302 \tabularnewline
244 & 0.99988703165777 & 0.000225936684459436 & 0.000112968342229718 \tabularnewline
245 & 0.999980138933317 & 3.97221333665235e-05 & 1.98610666832617e-05 \tabularnewline
246 & 0.999985781255409 & 2.84374891819449e-05 & 1.42187445909725e-05 \tabularnewline
247 & 0.999993403886926 & 1.31922261486048e-05 & 6.59611307430241e-06 \tabularnewline
248 & 0.999999062848968 & 1.87430206381724e-06 & 9.37151031908618e-07 \tabularnewline
249 & 0.99999993929271 & 1.21414580119891e-07 & 6.07072900599455e-08 \tabularnewline
250 & 0.999999992510554 & 1.49788910368439e-08 & 7.48944551842195e-09 \tabularnewline
251 & 0.999999999324183 & 1.35163421435287e-09 & 6.75817107176435e-10 \tabularnewline
252 & 0.999999999670285 & 6.59429676809066e-10 & 3.29714838404533e-10 \tabularnewline
253 & 0.999999999696713 & 6.06573538665059e-10 & 3.0328676933253e-10 \tabularnewline
254 & 0.999999999572043 & 8.55913601200022e-10 & 4.27956800600011e-10 \tabularnewline
255 & 0.999999999831421 & 3.37158236856889e-10 & 1.68579118428445e-10 \tabularnewline
256 & 0.999999999892371 & 2.15258822641631e-10 & 1.07629411320815e-10 \tabularnewline
257 & 0.999999999959711 & 8.05784657300609e-11 & 4.02892328650304e-11 \tabularnewline
258 & 0.999999999976901 & 4.61979550100647e-11 & 2.30989775050324e-11 \tabularnewline
259 & 0.999999999985536 & 2.89283918715098e-11 & 1.44641959357549e-11 \tabularnewline
260 & 0.999999999988157 & 2.36850063964888e-11 & 1.18425031982444e-11 \tabularnewline
261 & 0.999999999991298 & 1.740358660174e-11 & 8.70179330087001e-12 \tabularnewline
262 & 0.999999999989304 & 2.13929467183644e-11 & 1.06964733591822e-11 \tabularnewline
263 & 0.999999999982687 & 3.46266189577131e-11 & 1.73133094788565e-11 \tabularnewline
264 & 0.999999999969208 & 6.15848822191232e-11 & 3.07924411095616e-11 \tabularnewline
265 & 0.999999999945858 & 1.0828339673501e-10 & 5.41416983675051e-11 \tabularnewline
266 & 0.99999999991008 & 1.79840867532444e-10 & 8.9920433766222e-11 \tabularnewline
267 & 0.999999999865828 & 2.68343202714605e-10 & 1.34171601357303e-10 \tabularnewline
268 & 0.999999999805782 & 3.88436426524354e-10 & 1.94218213262177e-10 \tabularnewline
269 & 0.999999999767573 & 4.64854272404266e-10 & 2.32427136202133e-10 \tabularnewline
270 & 0.999999999641989 & 7.16021977330416e-10 & 3.58010988665208e-10 \tabularnewline
271 & 0.999999999558671 & 8.82658916093068e-10 & 4.41329458046534e-10 \tabularnewline
272 & 0.99999999954026 & 9.19480954526312e-10 & 4.59740477263156e-10 \tabularnewline
273 & 0.999999999548891 & 9.02218400544717e-10 & 4.51109200272358e-10 \tabularnewline
274 & 0.999999999749653 & 5.00694885286229e-10 & 2.50347442643114e-10 \tabularnewline
275 & 0.999999999581866 & 8.36266990577819e-10 & 4.18133495288909e-10 \tabularnewline
276 & 0.999999999225968 & 1.54806330795681e-09 & 7.74031653978406e-10 \tabularnewline
277 & 0.999999999393549 & 1.2129014635802e-09 & 6.064507317901e-10 \tabularnewline
278 & 0.999999999914927 & 1.70146290028096e-10 & 8.5073145014048e-11 \tabularnewline
279 & 0.999999999983951 & 3.20988976409487e-11 & 1.60494488204743e-11 \tabularnewline
280 & 0.999999999997307 & 5.38644820171648e-12 & 2.69322410085824e-12 \tabularnewline
281 & 0.999999999999405 & 1.18998179449537e-12 & 5.94990897247683e-13 \tabularnewline
282 & 0.99999999999979 & 4.19486904283149e-13 & 2.09743452141574e-13 \tabularnewline
283 & 0.999999999999947 & 1.05794075092946e-13 & 5.28970375464731e-14 \tabularnewline
284 & 0.999999999999993 & 1.46165679083386e-14 & 7.30828395416932e-15 \tabularnewline
285 & 0.999999999999997 & 6.18188905724818e-15 & 3.09094452862409e-15 \tabularnewline
286 & 0.999999999999998 & 3.44990126844543e-15 & 1.72495063422272e-15 \tabularnewline
287 & 0.999999999999998 & 4.08545258191883e-15 & 2.04272629095941e-15 \tabularnewline
288 & 0.999999999999997 & 5.4744996206295e-15 & 2.73724981031475e-15 \tabularnewline
289 & 0.999999999999997 & 5.35254693716277e-15 & 2.67627346858138e-15 \tabularnewline
290 & 0.999999999999998 & 3.29156450305893e-15 & 1.64578225152947e-15 \tabularnewline
291 & 0.999999999999999 & 2.23909606085816e-15 & 1.11954803042908e-15 \tabularnewline
292 & 0.999999999999998 & 3.55955301574237e-15 & 1.77977650787119e-15 \tabularnewline
293 & 0.999999999999996 & 7.69633408680136e-15 & 3.84816704340068e-15 \tabularnewline
294 & 0.999999999999997 & 6.13844068460894e-15 & 3.06922034230447e-15 \tabularnewline
295 & 0.999999999999996 & 7.77116043884242e-15 & 3.88558021942121e-15 \tabularnewline
296 & 0.999999999999993 & 1.3926691640645e-14 & 6.9633458203225e-15 \tabularnewline
297 & 0.999999999999986 & 2.83093407927653e-14 & 1.41546703963826e-14 \tabularnewline
298 & 0.999999999999977 & 4.68769083248409e-14 & 2.34384541624205e-14 \tabularnewline
299 & 0.999999999999951 & 9.79634413328786e-14 & 4.89817206664393e-14 \tabularnewline
300 & 0.999999999999887 & 2.26138941454396e-13 & 1.13069470727198e-13 \tabularnewline
301 & 0.999999999999736 & 5.27086668404142e-13 & 2.63543334202071e-13 \tabularnewline
302 & 0.999999999999405 & 1.19091663038838e-12 & 5.95458315194189e-13 \tabularnewline
303 & 0.999999999998845 & 2.31044769627954e-12 & 1.15522384813977e-12 \tabularnewline
304 & 0.999999999997244 & 5.51221025238188e-12 & 2.75610512619094e-12 \tabularnewline
305 & 0.999999999994332 & 1.13360250223688e-11 & 5.6680125111844e-12 \tabularnewline
306 & 0.999999999987315 & 2.53699917599007e-11 & 1.26849958799503e-11 \tabularnewline
307 & 0.999999999978867 & 4.2265491324068e-11 & 2.1132745662034e-11 \tabularnewline
308 & 0.999999999960559 & 7.8881232019302e-11 & 3.9440616009651e-11 \tabularnewline
309 & 0.999999999914653 & 1.70694088848477e-10 & 8.53470444242384e-11 \tabularnewline
310 & 0.999999999811682 & 3.76635987113931e-10 & 1.88317993556965e-10 \tabularnewline
311 & 0.999999999585732 & 8.28535484765241e-10 & 4.1426774238262e-10 \tabularnewline
312 & 0.999999999118883 & 1.76223444291195e-09 & 8.81117221455973e-10 \tabularnewline
313 & 0.999999998439997 & 3.12000630105175e-09 & 1.56000315052587e-09 \tabularnewline
314 & 0.999999996760402 & 6.47919639578432e-09 & 3.23959819789216e-09 \tabularnewline
315 & 0.99999999391151 & 1.217698070641e-08 & 6.088490353205e-09 \tabularnewline
316 & 0.999999990770642 & 1.84587152006805e-08 & 9.22935760034024e-09 \tabularnewline
317 & 0.99999998150896 & 3.6982079513826e-08 & 1.8491039756913e-08 \tabularnewline
318 & 0.999999965964827 & 6.80703458198876e-08 & 3.40351729099438e-08 \tabularnewline
319 & 0.999999933995657 & 1.32008686245801e-07 & 6.60043431229006e-08 \tabularnewline
320 & 0.999999875904771 & 2.4819045823041e-07 & 1.24095229115205e-07 \tabularnewline
321 & 0.999999767443731 & 4.6511253738148e-07 & 2.3255626869074e-07 \tabularnewline
322 & 0.999999513683558 & 9.72632883587936e-07 & 4.86316441793968e-07 \tabularnewline
323 & 0.999999015864229 & 1.96827154237094e-06 & 9.8413577118547e-07 \tabularnewline
324 & 0.99999801234522 & 3.97530955970235e-06 & 1.98765477985117e-06 \tabularnewline
325 & 0.999995913299995 & 8.17340000931601e-06 & 4.086700004658e-06 \tabularnewline
326 & 0.99999188010261 & 1.62397947801697e-05 & 8.11989739008487e-06 \tabularnewline
327 & 0.999983749867664 & 3.2500264672915e-05 & 1.62501323364575e-05 \tabularnewline
328 & 0.999968007667701 & 6.39846645988738e-05 & 3.19923322994369e-05 \tabularnewline
329 & 0.999943120524746 & 0.000113758950508191 & 5.68794752540954e-05 \tabularnewline
330 & 0.999939590334078 & 0.000120819331843269 & 6.04096659216347e-05 \tabularnewline
331 & 0.99988951190971 & 0.000220976180579351 & 0.000110488090289675 \tabularnewline
332 & 0.99980973676905 & 0.000380526461899245 & 0.000190263230949623 \tabularnewline
333 & 0.999736527499735 & 0.000526945000530467 & 0.000263472500265234 \tabularnewline
334 & 0.999760290088233 & 0.000479419823534192 & 0.000239709911767096 \tabularnewline
335 & 0.999953801568673 & 9.23968626538159e-05 & 4.61984313269079e-05 \tabularnewline
336 & 0.999998689113759 & 2.62177248211331e-06 & 1.31088624105665e-06 \tabularnewline
337 & 0.999999287450695 & 1.4250986097515e-06 & 7.12549304875752e-07 \tabularnewline
338 & 0.999999836146326 & 3.27707348154549e-07 & 1.63853674077275e-07 \tabularnewline
339 & 0.99999979493516 & 4.10129679126306e-07 & 2.05064839563153e-07 \tabularnewline
340 & 0.999999347665303 & 1.30466939425921e-06 & 6.52334697129607e-07 \tabularnewline
341 & 0.9999985867466 & 2.82650680075372e-06 & 1.41325340037686e-06 \tabularnewline
342 & 0.99999834456924 & 3.31086152040174e-06 & 1.65543076020087e-06 \tabularnewline
343 & 0.999994772510936 & 1.04549781284397e-05 & 5.22748906421986e-06 \tabularnewline
344 & 0.999996109006961 & 7.78198607730584e-06 & 3.89099303865292e-06 \tabularnewline
345 & 0.99999674331565 & 6.51336870045377e-06 & 3.25668435022689e-06 \tabularnewline
346 & 0.999999474907507 & 1.05018498657304e-06 & 5.25092493286522e-07 \tabularnewline
347 & 0.999998593408236 & 2.8131835278355e-06 & 1.40659176391775e-06 \tabularnewline
348 & 0.999993686765047 & 1.26264699066899e-05 & 6.31323495334495e-06 \tabularnewline
349 & 0.999973377258223 & 5.32454835539453e-05 & 2.66227417769726e-05 \tabularnewline
350 & 0.99988564651561 & 0.000228706968779622 & 0.000114353484389811 \tabularnewline
351 & 0.999753943137771 & 0.000492113724458057 & 0.000246056862229029 \tabularnewline
352 & 0.999525407886774 & 0.000949184226451355 & 0.000474592113225678 \tabularnewline
353 & 0.999994101393732 & 1.17972125357719e-05 & 5.89860626788593e-06 \tabularnewline
354 & 0.99991955165831 & 0.000160896683380807 & 8.04483416904033e-05 \tabularnewline
355 & 0.999065957278147 & 0.00186808544370528 & 0.00093404272185264 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=141880&T=5

[TABLE]
[ROW][C]Goldfeld-Quandt test for Heteroskedasticity[/C][/ROW]
[ROW][C]p-values[/C][C]Alternative Hypothesis[/C][/ROW]
[ROW][C]breakpoint index[/C][C]greater[/C][C]2-sided[/C][C]less[/C][/ROW]
[ROW][C]5[/C][C]0.93054930567053[/C][C]0.138901388658939[/C][C]0.0694506943294697[/C][/ROW]
[ROW][C]6[/C][C]0.875217937982186[/C][C]0.249564124035628[/C][C]0.124782062017814[/C][/ROW]
[ROW][C]7[/C][C]0.798992218658307[/C][C]0.402015562683386[/C][C]0.201007781341693[/C][/ROW]
[ROW][C]8[/C][C]0.706753150124556[/C][C]0.586493699750888[/C][C]0.293246849875444[/C][/ROW]
[ROW][C]9[/C][C]0.613231548787895[/C][C]0.77353690242421[/C][C]0.386768451212105[/C][/ROW]
[ROW][C]10[/C][C]0.533960774240571[/C][C]0.932078451518858[/C][C]0.466039225759429[/C][/ROW]
[ROW][C]11[/C][C]0.456346031719249[/C][C]0.912692063438499[/C][C]0.543653968280751[/C][/ROW]
[ROW][C]12[/C][C]0.406853738172876[/C][C]0.813707476345753[/C][C]0.593146261827124[/C][/ROW]
[ROW][C]13[/C][C]0.395907635965741[/C][C]0.791815271931483[/C][C]0.604092364034259[/C][/ROW]
[ROW][C]14[/C][C]0.37162354161201[/C][C]0.743247083224019[/C][C]0.62837645838799[/C][/ROW]
[ROW][C]15[/C][C]0.351820379256079[/C][C]0.703640758512158[/C][C]0.648179620743921[/C][/ROW]
[ROW][C]16[/C][C]0.302096335698156[/C][C]0.604192671396313[/C][C]0.697903664301844[/C][/ROW]
[ROW][C]17[/C][C]0.251382548316498[/C][C]0.502765096632995[/C][C]0.748617451683502[/C][/ROW]
[ROW][C]18[/C][C]0.198776408960844[/C][C]0.397552817921688[/C][C]0.801223591039156[/C][/ROW]
[ROW][C]19[/C][C]0.152689918037386[/C][C]0.305379836074772[/C][C]0.847310081962614[/C][/ROW]
[ROW][C]20[/C][C]0.113567471934793[/C][C]0.227134943869587[/C][C]0.886432528065207[/C][/ROW]
[ROW][C]21[/C][C]0.0829946332809663[/C][C]0.165989266561933[/C][C]0.917005366719034[/C][/ROW]
[ROW][C]22[/C][C]0.0623971015260354[/C][C]0.124794203052071[/C][C]0.937602898473965[/C][/ROW]
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[ROW][C]249[/C][C]0.99999993929271[/C][C]1.21414580119891e-07[/C][C]6.07072900599455e-08[/C][/ROW]
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[ROW][C]305[/C][C]0.999999999994332[/C][C]1.13360250223688e-11[/C][C]5.6680125111844e-12[/C][/ROW]
[ROW][C]306[/C][C]0.999999999987315[/C][C]2.53699917599007e-11[/C][C]1.26849958799503e-11[/C][/ROW]
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[ROW][C]308[/C][C]0.999999999960559[/C][C]7.8881232019302e-11[/C][C]3.9440616009651e-11[/C][/ROW]
[ROW][C]309[/C][C]0.999999999914653[/C][C]1.70694088848477e-10[/C][C]8.53470444242384e-11[/C][/ROW]
[ROW][C]310[/C][C]0.999999999811682[/C][C]3.76635987113931e-10[/C][C]1.88317993556965e-10[/C][/ROW]
[ROW][C]311[/C][C]0.999999999585732[/C][C]8.28535484765241e-10[/C][C]4.1426774238262e-10[/C][/ROW]
[ROW][C]312[/C][C]0.999999999118883[/C][C]1.76223444291195e-09[/C][C]8.81117221455973e-10[/C][/ROW]
[ROW][C]313[/C][C]0.999999998439997[/C][C]3.12000630105175e-09[/C][C]1.56000315052587e-09[/C][/ROW]
[ROW][C]314[/C][C]0.999999996760402[/C][C]6.47919639578432e-09[/C][C]3.23959819789216e-09[/C][/ROW]
[ROW][C]315[/C][C]0.99999999391151[/C][C]1.217698070641e-08[/C][C]6.088490353205e-09[/C][/ROW]
[ROW][C]316[/C][C]0.999999990770642[/C][C]1.84587152006805e-08[/C][C]9.22935760034024e-09[/C][/ROW]
[ROW][C]317[/C][C]0.99999998150896[/C][C]3.6982079513826e-08[/C][C]1.8491039756913e-08[/C][/ROW]
[ROW][C]318[/C][C]0.999999965964827[/C][C]6.80703458198876e-08[/C][C]3.40351729099438e-08[/C][/ROW]
[ROW][C]319[/C][C]0.999999933995657[/C][C]1.32008686245801e-07[/C][C]6.60043431229006e-08[/C][/ROW]
[ROW][C]320[/C][C]0.999999875904771[/C][C]2.4819045823041e-07[/C][C]1.24095229115205e-07[/C][/ROW]
[ROW][C]321[/C][C]0.999999767443731[/C][C]4.6511253738148e-07[/C][C]2.3255626869074e-07[/C][/ROW]
[ROW][C]322[/C][C]0.999999513683558[/C][C]9.72632883587936e-07[/C][C]4.86316441793968e-07[/C][/ROW]
[ROW][C]323[/C][C]0.999999015864229[/C][C]1.96827154237094e-06[/C][C]9.8413577118547e-07[/C][/ROW]
[ROW][C]324[/C][C]0.99999801234522[/C][C]3.97530955970235e-06[/C][C]1.98765477985117e-06[/C][/ROW]
[ROW][C]325[/C][C]0.999995913299995[/C][C]8.17340000931601e-06[/C][C]4.086700004658e-06[/C][/ROW]
[ROW][C]326[/C][C]0.99999188010261[/C][C]1.62397947801697e-05[/C][C]8.11989739008487e-06[/C][/ROW]
[ROW][C]327[/C][C]0.999983749867664[/C][C]3.2500264672915e-05[/C][C]1.62501323364575e-05[/C][/ROW]
[ROW][C]328[/C][C]0.999968007667701[/C][C]6.39846645988738e-05[/C][C]3.19923322994369e-05[/C][/ROW]
[ROW][C]329[/C][C]0.999943120524746[/C][C]0.000113758950508191[/C][C]5.68794752540954e-05[/C][/ROW]
[ROW][C]330[/C][C]0.999939590334078[/C][C]0.000120819331843269[/C][C]6.04096659216347e-05[/C][/ROW]
[ROW][C]331[/C][C]0.99988951190971[/C][C]0.000220976180579351[/C][C]0.000110488090289675[/C][/ROW]
[ROW][C]332[/C][C]0.99980973676905[/C][C]0.000380526461899245[/C][C]0.000190263230949623[/C][/ROW]
[ROW][C]333[/C][C]0.999736527499735[/C][C]0.000526945000530467[/C][C]0.000263472500265234[/C][/ROW]
[ROW][C]334[/C][C]0.999760290088233[/C][C]0.000479419823534192[/C][C]0.000239709911767096[/C][/ROW]
[ROW][C]335[/C][C]0.999953801568673[/C][C]9.23968626538159e-05[/C][C]4.61984313269079e-05[/C][/ROW]
[ROW][C]336[/C][C]0.999998689113759[/C][C]2.62177248211331e-06[/C][C]1.31088624105665e-06[/C][/ROW]
[ROW][C]337[/C][C]0.999999287450695[/C][C]1.4250986097515e-06[/C][C]7.12549304875752e-07[/C][/ROW]
[ROW][C]338[/C][C]0.999999836146326[/C][C]3.27707348154549e-07[/C][C]1.63853674077275e-07[/C][/ROW]
[ROW][C]339[/C][C]0.99999979493516[/C][C]4.10129679126306e-07[/C][C]2.05064839563153e-07[/C][/ROW]
[ROW][C]340[/C][C]0.999999347665303[/C][C]1.30466939425921e-06[/C][C]6.52334697129607e-07[/C][/ROW]
[ROW][C]341[/C][C]0.9999985867466[/C][C]2.82650680075372e-06[/C][C]1.41325340037686e-06[/C][/ROW]
[ROW][C]342[/C][C]0.99999834456924[/C][C]3.31086152040174e-06[/C][C]1.65543076020087e-06[/C][/ROW]
[ROW][C]343[/C][C]0.999994772510936[/C][C]1.04549781284397e-05[/C][C]5.22748906421986e-06[/C][/ROW]
[ROW][C]344[/C][C]0.999996109006961[/C][C]7.78198607730584e-06[/C][C]3.89099303865292e-06[/C][/ROW]
[ROW][C]345[/C][C]0.99999674331565[/C][C]6.51336870045377e-06[/C][C]3.25668435022689e-06[/C][/ROW]
[ROW][C]346[/C][C]0.999999474907507[/C][C]1.05018498657304e-06[/C][C]5.25092493286522e-07[/C][/ROW]
[ROW][C]347[/C][C]0.999998593408236[/C][C]2.8131835278355e-06[/C][C]1.40659176391775e-06[/C][/ROW]
[ROW][C]348[/C][C]0.999993686765047[/C][C]1.26264699066899e-05[/C][C]6.31323495334495e-06[/C][/ROW]
[ROW][C]349[/C][C]0.999973377258223[/C][C]5.32454835539453e-05[/C][C]2.66227417769726e-05[/C][/ROW]
[ROW][C]350[/C][C]0.99988564651561[/C][C]0.000228706968779622[/C][C]0.000114353484389811[/C][/ROW]
[ROW][C]351[/C][C]0.999753943137771[/C][C]0.000492113724458057[/C][C]0.000246056862229029[/C][/ROW]
[ROW][C]352[/C][C]0.999525407886774[/C][C]0.000949184226451355[/C][C]0.000474592113225678[/C][/ROW]
[ROW][C]353[/C][C]0.999994101393732[/C][C]1.17972125357719e-05[/C][C]5.89860626788593e-06[/C][/ROW]
[ROW][C]354[/C][C]0.99991955165831[/C][C]0.000160896683380807[/C][C]8.04483416904033e-05[/C][/ROW]
[ROW][C]355[/C][C]0.999065957278147[/C][C]0.00186808544370528[/C][C]0.00093404272185264[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=141880&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=141880&T=5

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


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

Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
50.930549305670530.1389013886589390.0694506943294697
60.8752179379821860.2495641240356280.124782062017814
70.7989922186583070.4020155626833860.201007781341693
80.7067531501245560.5864936997508880.293246849875444
90.6132315487878950.773536902424210.386768451212105
100.5339607742405710.9320784515188580.466039225759429
110.4563460317192490.9126920634384990.543653968280751
120.4068537381728760.8137074763457530.593146261827124
130.3959076359657410.7918152719314830.604092364034259
140.371623541612010.7432470832240190.62837645838799
150.3518203792560790.7036407585121580.648179620743921
160.3020963356981560.6041926713963130.697903664301844
170.2513825483164980.5027650966329950.748617451683502
180.1987764089608440.3975528179216880.801223591039156
190.1526899180373860.3053798360747720.847310081962614
200.1135674719347930.2271349438695870.886432528065207
210.08299463328096630.1659892665619330.917005366719034
220.06239710152603540.1247942030520710.937602898473965
230.05065873968150040.1013174793630010.9493412603185
240.04320149600582080.08640299201164150.956798503994179
250.03638112599729630.07276225199459250.963618874002704
260.0361074461122920.0722148922245840.963892553887708
270.1838355312752020.3676710625504040.816164468724798
280.2207105234463690.4414210468927390.779289476553631
290.2004106003290850.4008212006581710.799589399670915
300.1650592491488880.3301184982977760.834940750851112
310.1375736380338690.2751472760677380.862426361966131
320.1289533315357620.2579066630715250.871046668464238
330.1089493428661140.2178986857322270.891050657133886
340.08921257327485980.178425146549720.91078742672514
350.07126571696819820.1425314339363960.928734283031802
360.05571099125259430.1114219825051890.944289008747406
370.04218466289979080.08436932579958160.957815337100209
380.03189887922716510.06379775845433020.968101120772835
390.02353713246645060.04707426493290120.976462867533549
400.01877698670844640.03755397341689290.981223013291554
410.01386724969925160.02773449939850330.986132750300748
420.009952091635589540.01990418327117910.99004790836441
430.00711995804823440.01423991609646880.992880041951766
440.005076469513757730.01015293902751550.994923530486242
450.00350524274653040.007010485493060810.99649475725347
460.00239797404271990.00479594808543980.99760202595728
470.001674466920678430.003348933841356850.998325533079322
480.001769842018503560.003539684037007120.998230157981496
490.001891716932251090.003783433864502180.998108283067749
500.002754050039341820.005508100078683640.997245949960658
510.003959285897700430.007918571795400860.9960407141023
520.005174108071022880.01034821614204580.994825891928977
530.006250635215606530.01250127043121310.993749364784393
540.006380833759811950.01276166751962390.993619166240188
550.006240329939399590.01248065987879920.9937596700606
560.005693274246017670.01138654849203530.994306725753982
570.004905546001061990.009811092002123980.995094453998938
580.006084370098365270.01216874019673050.993915629901635
590.0120669248275460.02413384965509210.987933075172454
600.0151445269427150.03028905388543010.984855473057285
610.01692488322933120.03384976645866250.983075116770669
620.01475720398428410.02951440796856830.985242796015716
630.01660126762957280.03320253525914560.983398732370427
640.01829076471060350.03658152942120690.981709235289397
650.01800187307006290.03600374614012580.981998126929937
660.0167340258629410.03346805172588210.983265974137059
670.01527668323951780.03055336647903550.984723316760482
680.01321712398324450.0264342479664890.986782876016756
690.01136317745443150.0227263549088630.988636822545569
700.016407111639270.03281422327854010.98359288836073
710.01912187973096950.0382437594619390.980878120269031
720.01908554288386070.03817108576772140.980914457116139
730.0174927887301930.0349855774603860.982507211269807
740.01550029121262060.03100058242524120.984499708787379
750.01401779192832980.02803558385665960.98598220807167
760.01280689564763810.02561379129527610.987193104352362
770.01168921037093080.02337842074186160.988310789629069
780.01070096589106080.02140193178212160.989299034108939
790.01016191971796110.02032383943592230.989838080282039
800.01053607195277430.02107214390554870.989463928047226
810.009815260076513490.0196305201530270.990184739923487
820.009153607339381320.01830721467876260.990846392660619
830.008506014783433980.0170120295668680.991493985216566
840.008222425373811890.01644485074762380.991777574626188
850.008180845831026940.01636169166205390.991819154168973
860.009479705543478220.01895941108695640.990520294456522
870.0113566624295580.0227133248591160.988643337570442
880.01332805553136040.02665611106272080.98667194446864
890.01585114156394850.03170228312789710.984148858436051
900.02017368566203070.04034737132406150.979826314337969
910.02939529794370570.05879059588741150.970604702056294
920.03447371316599140.06894742633198280.965526286834009
930.03832360026144210.07664720052288430.961676399738558
940.04601981067851330.09203962135702670.953980189321487
950.05510745370115590.1102149074023120.944892546298844
960.06145688844107230.1229137768821450.938543111558928
970.07210563805374640.1442112761074930.927894361946254
980.09152771707344030.1830554341468810.90847228292656
990.1029246116168750.205849223233750.897075388383125
1000.128680694850210.2573613897004210.87131930514979
1010.1697222406412050.339444481282410.830277759358795
1020.1948547598570670.3897095197141340.805145240142933
1030.229398019556440.458796039112880.77060198044356
1040.2591463634455170.5182927268910340.740853636554483
1050.2701519895578930.5403039791157860.729848010442107
1060.2878100996594520.5756201993189040.712189900340548
1070.2856917267110780.5713834534221550.714308273288922
1080.2778591718501210.5557183437002420.722140828149879
1090.2676057478397590.5352114956795180.732394252160241
1100.395756243217760.791512486435520.60424375678224
1110.4461581866248180.8923163732496350.553841813375182
1120.4607207907826430.9214415815652860.539279209217357
1130.4573324606327750.914664921265550.542667539367225
1140.4516859100115320.9033718200230630.548314089988468
1150.4401499828393570.8802999656787140.559850017160643
1160.4166242758617840.8332485517235680.583375724138216
1170.3871638419982330.7743276839964660.612836158001767
1180.3588622600646320.7177245201292650.641137739935368
1190.3310127129846150.662025425969230.668987287015385
1200.3058027776284990.6116055552569990.6941972223715
1210.2826763824735150.565352764947030.717323617526485
1220.259836290911920.5196725818238410.74016370908808
1230.2385280773677260.4770561547354510.761471922632274
1240.2190589438711490.4381178877422980.780941056128851
1250.2029731882024680.4059463764049360.797026811797532
1260.1875605700769070.3751211401538130.812439429923093
1270.1735003184855180.3470006369710350.826499681514482
1280.1633234856050190.3266469712100380.836676514394981
1290.1517990613346920.3035981226693830.848200938665308
1300.1397737544909850.2795475089819710.860226245509015
1310.1351950850040270.2703901700080550.864804914995973
1320.1316199366824250.2632398733648510.868380063317575
1330.1226316448957140.2452632897914270.877368355104286
1340.1158398884931110.2316797769862220.884160111506889
1350.111139710761850.22227942152370.88886028923815
1360.1037269313191370.2074538626382750.896273068680863
1370.0970356742522480.1940713485044960.902964325747752
1380.09040050971156550.1808010194231310.909599490288435
1390.08353536110478760.1670707222095750.916464638895212
1400.07767625053196310.1553525010639260.922323749468037
1410.07309880781856160.1461976156371230.926901192181438
1420.06793780905932820.1358756181186560.932062190940672
1430.0620102418560210.1240204837120420.937989758143979
1440.05656499802671130.1131299960534230.943435001973289
1450.05169634704294170.1033926940858830.948303652957058
1460.05217679829996890.1043535965999380.947823201700031
1470.05314407860896730.1062881572179350.946855921391033
1480.04892050915648520.09784101831297050.951079490843515
1490.04798543738123980.09597087476247970.95201456261876
1500.04610571203901650.09221142407803310.953894287960984
1510.0470434624351910.0940869248703820.952956537564809
1520.04754043706062790.09508087412125570.952459562939372
1530.04697699389414720.09395398778829440.953023006105853
1540.04480923473597680.08961846947195360.955190765264023
1550.0406705788254080.0813411576508160.959329421174592
1560.0376352034047480.07527040680949610.962364796595252
1570.03539885132185440.07079770264370880.964601148678146
1580.03538784099652950.0707756819930590.964612159003471
1590.03270920778636670.06541841557273340.967290792213633
1600.02959203081173830.05918406162347660.970407969188262
1610.02745394187675470.05490788375350950.972546058123245
1620.02671769036648130.05343538073296260.973282309633519
1630.02883089505473760.05766179010947510.971169104945262
1640.03128845046074080.06257690092148160.968711549539259
1650.02894519810435510.05789039620871010.971054801895645
1660.0271415602335280.05428312046705590.972858439766472
1670.02493687648800090.04987375297600190.975063123511999
1680.02330313688460260.04660627376920520.976696863115397
1690.02222731884873430.04445463769746870.977772681151266
1700.02199400550687250.0439880110137450.978005994493128
1710.02024331979365370.04048663958730750.979756680206346
1720.01806220721202790.03612441442405590.981937792787972
1730.0161249970978530.03224999419570590.983875002902147
1740.01444670460851050.0288934092170210.98555329539149
1750.01296474764513160.02592949529026320.987035252354868
1760.01179202753803970.02358405507607950.98820797246196
1770.01078908376371570.02157816752743150.989210916236284
1780.009898309361121920.01979661872224380.990101690638878
1790.009202365723786880.01840473144757380.990797634276213
1800.008721579304382340.01744315860876470.991278420695618
1810.008093576435946080.01618715287189220.991906423564054
1820.007471160452570960.01494232090514190.992528839547429
1830.006953590389536590.01390718077907320.993046409610463
1840.006488628606434030.01297725721286810.993511371393566
1850.006059250601591840.01211850120318370.993940749398408
1860.005648443615916450.01129688723183290.994351556384084
1870.005474214083004320.01094842816600860.994525785916996
1880.005401940806928540.01080388161385710.994598059193071
1890.005134911106934050.01026982221386810.994865088893066
1900.004838390806280840.009676781612561680.995161609193719
1910.004660132407276810.009320264814553630.995339867592723
1920.004556693392878450.00911338678575690.995443306607122
1930.00449763656731720.008995273134634410.995502363432683
1940.004277545578309330.008555091156618650.995722454421691
1950.004058655405826790.008117310811653590.995941344594173
1960.00383859177063630.007677183541272590.996161408229364
1970.003602086297342840.007204172594685690.996397913702657
1980.003372221352189320.006744442704378640.996627778647811
1990.003153526557383660.006307053114767320.996846473442616
2000.003103246609126380.006206493218252760.996896753390874
2010.003075259800427660.006150519600855310.996924740199572
2020.003316250243802960.006632500487605920.996683749756197
2030.003525476818230530.007050953636461070.996474523181769
2040.003571461560926310.007142923121852630.996428538439074
2050.003500602772952550.00700120554590510.996499397227048
2060.003791238932812540.007582477865625080.996208761067187
2070.008641729038619630.01728345807723930.99135827096138
2080.01785267917959160.03570535835918310.982147320820408
2090.03278223292866340.06556446585732690.967217767071337
2100.05283992621771360.1056798524354270.947160073782286
2110.0541191450430620.1082382900861240.945880854956938
2120.2386364167915970.4772728335831940.761363583208403
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2140.512702627638790.974594744722420.48729737236121
2150.653427239238090.6931455215238210.34657276076191
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2200.9423670239281350.1152659521437310.0576329760718654
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2290.992226654572070.01554669085585940.0077733454279297
2300.9915666578367490.0168666843265020.00843334216325101
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2320.9897489453778050.02050210924439080.0102510546221954
2330.9879025322247420.02419493555051620.0120974677752581
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2420.9923562076645370.01528758467092510.00764379233546253
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2450.9999801389333173.97221333665235e-051.98610666832617e-05
2460.9999857812554092.84374891819449e-051.42187445909725e-05
2470.9999934038869261.31922261486048e-056.59611307430241e-06
2480.9999990628489681.87430206381724e-069.37151031908618e-07
2490.999999939292711.21414580119891e-076.07072900599455e-08
2500.9999999925105541.49788910368439e-087.48944551842195e-09
2510.9999999993241831.35163421435287e-096.75817107176435e-10
2520.9999999996702856.59429676809066e-103.29714838404533e-10
2530.9999999996967136.06573538665059e-103.0328676933253e-10
2540.9999999995720438.55913601200022e-104.27956800600011e-10
2550.9999999998314213.37158236856889e-101.68579118428445e-10
2560.9999999998923712.15258822641631e-101.07629411320815e-10
2570.9999999999597118.05784657300609e-114.02892328650304e-11
2580.9999999999769014.61979550100647e-112.30989775050324e-11
2590.9999999999855362.89283918715098e-111.44641959357549e-11
2600.9999999999881572.36850063964888e-111.18425031982444e-11
2610.9999999999912981.740358660174e-118.70179330087001e-12
2620.9999999999893042.13929467183644e-111.06964733591822e-11
2630.9999999999826873.46266189577131e-111.73133094788565e-11
2640.9999999999692086.15848822191232e-113.07924411095616e-11
2650.9999999999458581.0828339673501e-105.41416983675051e-11
2660.999999999910081.79840867532444e-108.9920433766222e-11
2670.9999999998658282.68343202714605e-101.34171601357303e-10
2680.9999999998057823.88436426524354e-101.94218213262177e-10
2690.9999999997675734.64854272404266e-102.32427136202133e-10
2700.9999999996419897.16021977330416e-103.58010988665208e-10
2710.9999999995586718.82658916093068e-104.41329458046534e-10
2720.999999999540269.19480954526312e-104.59740477263156e-10
2730.9999999995488919.02218400544717e-104.51109200272358e-10
2740.9999999997496535.00694885286229e-102.50347442643114e-10
2750.9999999995818668.36266990577819e-104.18133495288909e-10
2760.9999999992259681.54806330795681e-097.74031653978406e-10
2770.9999999993935491.2129014635802e-096.064507317901e-10
2780.9999999999149271.70146290028096e-108.5073145014048e-11
2790.9999999999839513.20988976409487e-111.60494488204743e-11
2800.9999999999973075.38644820171648e-122.69322410085824e-12
2810.9999999999994051.18998179449537e-125.94990897247683e-13
2820.999999999999794.19486904283149e-132.09743452141574e-13
2830.9999999999999471.05794075092946e-135.28970375464731e-14
2840.9999999999999931.46165679083386e-147.30828395416932e-15
2850.9999999999999976.18188905724818e-153.09094452862409e-15
2860.9999999999999983.44990126844543e-151.72495063422272e-15
2870.9999999999999984.08545258191883e-152.04272629095941e-15
2880.9999999999999975.4744996206295e-152.73724981031475e-15
2890.9999999999999975.35254693716277e-152.67627346858138e-15
2900.9999999999999983.29156450305893e-151.64578225152947e-15
2910.9999999999999992.23909606085816e-151.11954803042908e-15
2920.9999999999999983.55955301574237e-151.77977650787119e-15
2930.9999999999999967.69633408680136e-153.84816704340068e-15
2940.9999999999999976.13844068460894e-153.06922034230447e-15
2950.9999999999999967.77116043884242e-153.88558021942121e-15
2960.9999999999999931.3926691640645e-146.9633458203225e-15
2970.9999999999999862.83093407927653e-141.41546703963826e-14
2980.9999999999999774.68769083248409e-142.34384541624205e-14
2990.9999999999999519.79634413328786e-144.89817206664393e-14
3000.9999999999998872.26138941454396e-131.13069470727198e-13
3010.9999999999997365.27086668404142e-132.63543334202071e-13
3020.9999999999994051.19091663038838e-125.95458315194189e-13
3030.9999999999988452.31044769627954e-121.15522384813977e-12
3040.9999999999972445.51221025238188e-122.75610512619094e-12
3050.9999999999943321.13360250223688e-115.6680125111844e-12
3060.9999999999873152.53699917599007e-111.26849958799503e-11
3070.9999999999788674.2265491324068e-112.1132745662034e-11
3080.9999999999605597.8881232019302e-113.9440616009651e-11
3090.9999999999146531.70694088848477e-108.53470444242384e-11
3100.9999999998116823.76635987113931e-101.88317993556965e-10
3110.9999999995857328.28535484765241e-104.1426774238262e-10
3120.9999999991188831.76223444291195e-098.81117221455973e-10
3130.9999999984399973.12000630105175e-091.56000315052587e-09
3140.9999999967604026.47919639578432e-093.23959819789216e-09
3150.999999993911511.217698070641e-086.088490353205e-09
3160.9999999907706421.84587152006805e-089.22935760034024e-09
3170.999999981508963.6982079513826e-081.8491039756913e-08
3180.9999999659648276.80703458198876e-083.40351729099438e-08
3190.9999999339956571.32008686245801e-076.60043431229006e-08
3200.9999998759047712.4819045823041e-071.24095229115205e-07
3210.9999997674437314.6511253738148e-072.3255626869074e-07
3220.9999995136835589.72632883587936e-074.86316441793968e-07
3230.9999990158642291.96827154237094e-069.8413577118547e-07
3240.999998012345223.97530955970235e-061.98765477985117e-06
3250.9999959132999958.17340000931601e-064.086700004658e-06
3260.999991880102611.62397947801697e-058.11989739008487e-06
3270.9999837498676643.2500264672915e-051.62501323364575e-05
3280.9999680076677016.39846645988738e-053.19923322994369e-05
3290.9999431205247460.0001137589505081915.68794752540954e-05
3300.9999395903340780.0001208193318432696.04096659216347e-05
3310.999889511909710.0002209761805793510.000110488090289675
3320.999809736769050.0003805264618992450.000190263230949623
3330.9997365274997350.0005269450005304670.000263472500265234
3340.9997602900882330.0004794198235341920.000239709911767096
3350.9999538015686739.23968626538159e-054.61984313269079e-05
3360.9999986891137592.62177248211331e-061.31088624105665e-06
3370.9999992874506951.4250986097515e-067.12549304875752e-07
3380.9999998361463263.27707348154549e-071.63853674077275e-07
3390.999999794935164.10129679126306e-072.05064839563153e-07
3400.9999993476653031.30466939425921e-066.52334697129607e-07
3410.99999858674662.82650680075372e-061.41325340037686e-06
3420.999998344569243.31086152040174e-061.65543076020087e-06
3430.9999947725109361.04549781284397e-055.22748906421986e-06
3440.9999961090069617.78198607730584e-063.89099303865292e-06
3450.999996743315656.51336870045377e-063.25668435022689e-06
3460.9999994749075071.05018498657304e-065.25092493286522e-07
3470.9999985934082362.8131835278355e-061.40659176391775e-06
3480.9999936867650471.26264699066899e-056.31323495334495e-06
3490.9999733772582235.32454835539453e-052.66227417769726e-05
3500.999885646515610.0002287069687796220.000114353484389811
3510.9997539431377710.0004921137244580570.000246056862229029
3520.9995254078867740.0009491842264513550.000474592113225678
3530.9999941013937321.17972125357719e-055.89860626788593e-06
3540.999919551658310.0001608966833808078.04483416904033e-05
3550.9990659572781470.001868085443705280.00093404272185264






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level1380.393162393162393NOK
5% type I error level2260.643874643874644NOK
10% type I error level2570.732193732193732NOK

\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 & 138 & 0.393162393162393 & NOK \tabularnewline
5% type I error level & 226 & 0.643874643874644 & NOK \tabularnewline
10% type I error level & 257 & 0.732193732193732 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=141880&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]138[/C][C]0.393162393162393[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]226[/C][C]0.643874643874644[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]257[/C][C]0.732193732193732[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=141880&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=141880&T=6

As an alternative you can also use a QR Code:  
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The GUIDs for individual cells are displayed in the table below:

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level1380.393162393162393NOK
5% type I error level2260.643874643874644NOK
10% type I error level2570.732193732193732NOK


Figures (Output of Computation)

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Figure 10
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Input Parameters & R Code

Parameters (Session):
par1 = 2 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;
Parameters (R input):
par1 = 2 ; par2 = Do not include Seasonal Dummies ; par3 = No Linear Trend ;
R code (references can be found in the software module):
library(lattice)
library(lmtest)
n25 <- 25 #minimum number of obs. for Goldfeld-Quandt test
par1 <- as.numeric(par1)
x <- t(y)
k <- length(x[1,])
n <- length(x[,1])
x1 <- cbind(x[,par1], x[,1:k!=par1])
mycolnames <- c(colnames(x)[par1], colnames(x)[1:k!=par1])
colnames(x1) <- mycolnames #colnames(x)[par1]
x <- x1
if (par3 == 'First Differences'){
x2 <- array(0, dim=c(n-1,k), dimnames=list(1:(n-1), paste('(1-B)',colnames(x),sep='')))
for (i in 1:n-1) {
for (j in 1:k) {
x2[i,j] <- x[i+1,j] - x[i,j]
}
}
x <- x2
}
if (par2 == 'Include Monthly Dummies'){
x2 <- array(0, dim=c(n,11), dimnames=list(1:n, paste('M', seq(1:11), sep ='')))
for (i in 1:11){
x2[seq(i,n,12),i] <- 1
}
x <- cbind(x, x2)
}
if (par2 == 'Include Quarterly Dummies'){
x2 <- array(0, dim=c(n,3), dimnames=list(1:n, paste('Q', seq(1:3), sep ='')))
for (i in 1:3){
x2[seq(i,n,4),i] <- 1
}
x <- cbind(x, x2)
}
k <- length(x[1,])
if (par3 == 'Linear Trend'){
x <- cbind(x, c(1:n))
colnames(x)[k+1] <- 't'
}
x
k <- length(x[1,])
df <- as.data.frame(x)
(mylm <- lm(df))
(mysum <- summary(mylm))
if (n > n25) {
kp3 <- k + 3
nmkm3 <- n - k - 3
gqarr <- array(NA, dim=c(nmkm3-kp3+1,3))
numgqtests <- 0
numsignificant1 <- 0
numsignificant5 <- 0
numsignificant10 <- 0
for (mypoint in kp3:nmkm3) {
j <- 0
numgqtests <- numgqtests + 1
for (myalt in c('greater', 'two.sided', 'less')) {
j <- j + 1
gqarr[mypoint-kp3+1,j] <- gqtest(mylm, point=mypoint, alternative=myalt)$p.value
}
if (gqarr[mypoint-kp3+1,2] < 0.01) numsignificant1 <- numsignificant1 + 1
if (gqarr[mypoint-kp3+1,2] < 0.05) numsignificant5 <- numsignificant5 + 1
if (gqarr[mypoint-kp3+1,2] < 0.10) numsignificant10 <- numsignificant10 + 1
}
gqarr
}
bitmap(file='test0.png')
plot(x[,1], type='l', main='Actuals and Interpolation', ylab='value of Actuals and Interpolation (dots)', xlab='time or index')
points(x[,1]-mysum$resid)
grid()
dev.off()
bitmap(file='test1.png')
plot(mysum$resid, type='b', pch=19, main='Residuals', ylab='value of Residuals', xlab='time or index')
grid()
dev.off()
bitmap(file='test2.png')
hist(mysum$resid, main='Residual Histogram', xlab='values of Residuals')
grid()
dev.off()
bitmap(file='test3.png')
densityplot(~mysum$resid,col='black',main='Residual Density Plot', xlab='values of Residuals')
dev.off()
bitmap(file='test4.png')
qqnorm(mysum$resid, main='Residual Normal Q-Q Plot')
qqline(mysum$resid)
grid()
dev.off()
(myerror <- as.ts(mysum$resid))
bitmap(file='test5.png')
dum <- cbind(lag(myerror,k=1),myerror)
dum
dum1 <- dum[2:length(myerror),]
dum1
z <- as.data.frame(dum1)
z
plot(z,main=paste('Residual Lag plot, lowess, and regression line'), ylab='values of Residuals', xlab='lagged values of Residuals')
lines(lowess(z))
abline(lm(z))
grid()
dev.off()
bitmap(file='test6.png')
acf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Autocorrelation Function')
grid()
dev.off()
bitmap(file='test7.png')
pacf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Partial Autocorrelation Function')
grid()
dev.off()
bitmap(file='test8.png')
opar <- par(mfrow = c(2,2), oma = c(0, 0, 1.1, 0))
plot(mylm, las = 1, sub='Residual Diagnostics')
par(opar)
dev.off()
if (n > n25) {
bitmap(file='test9.png')
plot(kp3:nmkm3,gqarr[,2], main='Goldfeld-Quandt test',ylab='2-sided p-value',xlab='breakpoint')
grid()
dev.off()
}
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Estimated Regression Equation', 1, TRUE)
a<-table.row.end(a)
myeq <- colnames(x)[1]
myeq <- paste(myeq, '[t] = ', sep='')
for (i in 1:k){
if (mysum$coefficients[i,1] > 0) myeq <- paste(myeq, '+', '')
myeq <- paste(myeq, mysum$coefficients[i,1], sep=' ')
if (rownames(mysum$coefficients)[i] != '(Intercept)') {
myeq <- paste(myeq, rownames(mysum$coefficients)[i], sep='')
if (rownames(mysum$coefficients)[i] != 't') myeq <- paste(myeq, '[t]', sep='')
}
}
myeq <- paste(myeq, ' + e[t]')
a<-table.row.start(a)
a<-table.element(a, myeq)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable1.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,hyperlink('ols1.htm','Multiple Linear Regression - Ordinary Least Squares',''), 6, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Variable',header=TRUE)
a<-table.element(a,'Parameter',header=TRUE)
a<-table.element(a,'S.D.',header=TRUE)
a<-table.element(a,'T-STAT
H0: parameter = 0',header=TRUE)
a<-table.element(a,'2-tail p-value',header=TRUE)
a<-table.element(a,'1-tail p-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:k){
a<-table.row.start(a)
a<-table.element(a,rownames(mysum$coefficients)[i],header=TRUE)
a<-table.element(a,mysum$coefficients[i,1])
a<-table.element(a, round(mysum$coefficients[i,2],6))
a<-table.element(a, round(mysum$coefficients[i,3],4))
a<-table.element(a, round(mysum$coefficients[i,4],6))
a<-table.element(a, round(mysum$coefficients[i,4]/2,6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable2.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Regression Statistics', 2, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Multiple R',1,TRUE)
a<-table.element(a, sqrt(mysum$r.squared))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'R-squared',1,TRUE)
a<-table.element(a, mysum$r.squared)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Adjusted R-squared',1,TRUE)
a<-table.element(a, mysum$adj.r.squared)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (value)',1,TRUE)
a<-table.element(a, mysum$fstatistic[1])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (DF numerator)',1,TRUE)
a<-table.element(a, mysum$fstatistic[2])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (DF denominator)',1,TRUE)
a<-table.element(a, mysum$fstatistic[3])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'p-value',1,TRUE)
a<-table.element(a, 1-pf(mysum$fstatistic[1],mysum$fstatistic[2],mysum$fstatistic[3]))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Residual Statistics', 2, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Residual Standard Deviation',1,TRUE)
a<-table.element(a, mysum$sigma)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Sum Squared Residuals',1,TRUE)
a<-table.element(a, sum(myerror*myerror))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable3.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Actuals, Interpolation, and Residuals', 4, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Time or Index', 1, TRUE)
a<-table.element(a, 'Actuals', 1, TRUE)
a<-table.element(a, 'Interpolation
Forecast', 1, TRUE)
a<-table.element(a, 'Residuals
Prediction Error', 1, TRUE)
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,i, 1, TRUE)
a<-table.element(a,x[i])
a<-table.element(a,x[i]-mysum$resid[i])
a<-table.element(a,mysum$resid[i])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable4.tab')
if (n > n25) {
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Goldfeld-Quandt test for Heteroskedasticity',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'p-values',header=TRUE)
a<-table.element(a,'Alternative Hypothesis',3,header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'breakpoint index',header=TRUE)
a<-table.element(a,'greater',header=TRUE)
a<-table.element(a,'2-sided',header=TRUE)
a<-table.element(a,'less',header=TRUE)
a<-table.row.end(a)
for (mypoint in kp3:nmkm3) {
a<-table.row.start(a)
a<-table.element(a,mypoint,header=TRUE)
a<-table.element(a,gqarr[mypoint-kp3+1,1])
a<-table.element(a,gqarr[mypoint-kp3+1,2])
a<-table.element(a,gqarr[mypoint-kp3+1,3])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable5.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Description',header=TRUE)
a<-table.element(a,'# significant tests',header=TRUE)
a<-table.element(a,'% significant tests',header=TRUE)
a<-table.element(a,'OK/NOK',header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'1% type I error level',header=TRUE)
a<-table.element(a,numsignificant1)
a<-table.element(a,numsignificant1/numgqtests)
if (numsignificant1/numgqtests < 0.01) dum <- 'OK' else dum <- 'NOK'
a<-table.element(a,dum)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'5% type I error level',header=TRUE)
a<-table.element(a,numsignificant5)
a<-table.element(a,numsignificant5/numgqtests)
if (numsignificant5/numgqtests < 0.05) dum <- 'OK' else dum <- 'NOK'
a<-table.element(a,dum)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'10% type I error level',header=TRUE)
a<-table.element(a,numsignificant10)
a<-table.element(a,numsignificant10/numgqtests)
if (numsignificant10/numgqtests < 0.1) dum <- 'OK' else dum <- 'NOK'
a<-table.element(a,dum)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable6.tab')
}