Free Statistics

of Irreproducible Research!

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationThu, 24 Nov 2011 12:02:06 -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/24/t1322154396x6r6wknw3dauavm.htm/, Retrieved Thu, 28 Mar 2024 10:33:28 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=147097, Retrieved Thu, 28 Mar 2024 10:33:28 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact81
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Multiple Regression] [Colombia Coffee -...] [2008-02-26 11:21:57] [74be16979710d4c4e7c6647856088456]
-  MPD  [Multiple Regression] [Koffie USA en Col...] [2011-11-24 16:11:03] [9a01a2fa0c801b8d05d8c9909bdf1c0f]
-   PD      [Multiple Regression] [koffie] [2011-11-24 17:02:06] [5c55e7d277583a4a66c326a86fdb470e] [Current]
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Dataseries X:
87.28	255
87.28	280.2
87.09	299.9
86.92	339.2
87.59	374.2
90.72	393.5
90.69	389.2
90.3	381.7
89.55	375.2
88.94	369
88.41	357.4
87.82	352.1
87.07	346.5
86.82	342.9
86.4	340.3
86.02	328.3
85.66	322.9
85.32	314.3
85	308.9
84.67	294
83.94	285.6
82.83	281.2
81.95	280.3
81.19	278.8
80.48	274.5
78.86	270.4
69.47	263.4
68.77	259.9
70.06	258
73.95	262.7
75.8	284.7
77.79	311.3
81.57	322.1
83.07	327
84.34	331.3
85.1	333.3
85.25	321.4
84.26	327
83.63	320
86.44	314.7
85.3	316.7
84.1	314.4
83.36	321.3
82.48	318.2
81.58	307.2
80.47	301.3
79.34	287.5
82.13	277.7
81.69	274.4
80.7	258.8
79.88	253.3
79.16	251
78.38	248.4
77.42	249.5
76.47	246.1
75.46	244.5
74.48	243.6
78.27	244
80.7	240.8
79.91	249.8
78.75	248
77.78	259.4
81.14	260.5
81.08	260.8
80.03	261.3
78.91	259.5
78.01	256.6
76.9	257.9
75.97	256.5
81.93	254.2
80.27	253.3
78.67	253.8
77.42	255.5
76.16	257.1
74.7	257.3
76.39	253.2
76.04	252.8
74.65	252
73.29	250.7
71.79	252.2
74.39	250
74.91	251
74.54	253.4
73.08	251.2
72.75	255.6
71.32	261.1
70.38	258.9
70.35	259.9
70.01	261.2
69.36	264.7
67.77	267.1
69.26	266.4
69.8	267.7
68.38	268.6
67.62	267.5
68.39	268.5
66.95	268.5
65.21	270.5
66.64	270.9
63.45	270.1
60.66	269.3
62.34	269.8
60.32	270.1
58.64	264.9
60.46	263.7
58.59	264.8
61.87	263.7
61.85	255.9
67.44	276.2
77.06	360.1
91.74	380.5
93.15	373.7
94.15	369.8
93.11	366.6
91.51	359.3
89.96	345.8
88.16	326.2
86.98	324.5
88.03	328.1
86.24	327.5
84.65	324.4
83.23	316.5
81.7	310.9
80.25	301.5
78.8	291.7
77.51	290.4
76.2	287.4
75.04	277.7
74	281.6
75.49	288
77.14	276
76.15	272.9
76.27	283
78.19	283.3
76.49	276.8
77.31	284.5
76.65	282.7
74.99	281.2
73.51	287.4
72.07	283.1
70.59	284
71.96	285.5
76.29	289.2
74.86	292.5
74.93	296.4
71.9	305.2
71.01	303.9
77.47	311.5
75.78	316.3
76.6	316.7
76.07	322.5
74.57	317.1
73.02	309.8
72.65	303.8
73.16	290.3
71.53	293.7
69.78	291.7
67.98	296.5
69.96	289.1
72.16	288.5
70.47	293.8
68.86	297.7
67.37	305.4
65.87	302.7
72.16	302.5
71.34	303
69.93	294.5
68.44	294.1
67.16	294.5
66.01	297.1
67.25	289.4
70.91	292.4
69.75	287.9
68.59	286.6
67.48	280.5
66.31	272.4
64.81	269.2
66.58	270.6
65.97	267.3
64.7	262.5
64.7	266.8
60.94	268.8
59.08	263.1
58.42	261.2
57.77	266
57.11	262.5
53.31	265.2
49.96	261.3
49.4	253.7
48.84	249.2
48.3	239.1
47.74	236.4
47.24	235.2
46.76	245.2
46.29	246.2
48.9	247.7
49.23	251.4
48.53	253.3
48.03	254.8
54.34	250
53.79	249.3
53.24	241.5
52.96	243.3
52.17	248
51.7	253
58.55	252.9
78.2	251.5
77.03	251.6
76.19	253.5
77.15	259.8
75.87	334.1
95.47	448
109.67	445.8
112.28	445
112.01	448.2
107.93	438.2
105.96	439.8
105.06	423.4
102.98	410.8
102.2	408.4
105.23	406.7
101.85	405.9
99.89	402.7
96.23	405.1
94.76	399.6
91.51	386.5
91.63	381.4
91.54	375.2
85.23	357.7
87.83	359
87.38	355
84.44	352.7
85.19	344.4
84.03	343.8
86.73	338
102.52	339
104.45	333.3
106.98	334.4
107.02	328.3
99.26	330.7
94.45	330
113.44	331.6
157.33	351.2
147.38	389.4
171.89	410.9
171.95	442.8
132.71	462.8
126.02	466.9
121.18	461.7
115.45	439.2
110.48	430.3
117.85	416.1
117.63	402.5
124.65	397.3
109.59	403.3
111.27	395.9
99.78	387.8
98.21	378.6
99.2	377.1
97.97	370.4
89.55	362
87.91	350.3
93.34	348.2
94.42	344.6
93.2	343.5
90.29	342.8
91.46	347.6
89.98	346.6
88.35	349.5
88.41	342.1
82.44	342
79.89	342.8
75.69	339.3
75.66	348.2
84.5	333.7
96.73	334.7
87.48	354
82.39	367.7
83.48	363.3
79.31	358.4
78.16	353.1
72.77	343.1
72.45	344.6
68.46	344.4
67.62	333.9
68.76	331.7
70.07	324.3
68.55	321.2
65.3	322.4
58.96	321.7
59.17	320.5
62.37	312.8
66.28	309.7
55.62	315.6
55.23	309.7
55.85	304.6
56.75	302.5
50.89	301.5
53.88	298.8
52.95	291.3
55.08	293.6
53.61	294.6
58.78	285.9
61.85	297.6
55.91	301.1
53.32	293.8
46.41	297.7
44.57	292.9
50	292.1
50	287.2
53.36	288.2
46.23	283.8
50.45	299.9
49.07	292.4
45.85	293.3
48.45	300.8
49.96	293.7
46.53	293.1
50.51	294.4
47.58	292.1
48.05	291.9
46.84	282.5
47.67	277.9
49.16	287.5
55.54	289.2
55.82	285.6
58.22	293.2
56.19	290.8
57.77	283.1
63.19	275
54.76	287.8
55.74	287.8
62.54	287.4
61.39	284
69.6	277.8
79.23	277.6
80	304.9
93.68	294
107.63	300.9
100.18	324
97.3	332.9
90.45	341.6
80.64	333.4
80.58	348.2
75.82	344.7
85.59	344.7
89.35	329.3
89.42	323.5
104.73	323.2
95.32	317.4
89.27	330.1
90.44	329.2
86.97	334.9
79.98	315.8
81.22	315.4
87.35	319.6
83.64	317.3
82.22	313.8
94.4	315.8
102.18	311.3




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time10 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 10 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=147097&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]10 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=147097&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=147097&T=0

As an alternative you can also use a QR Code:  

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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time10 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net







Multiple Linear Regression - Estimated Regression Equation
Colombia[t] = -6.45666703697745 + 0.272400216323865USA[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
Colombia[t] =  -6.45666703697745 +  0.272400216323865USA[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=147097&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]Colombia[t] =  -6.45666703697745 +  0.272400216323865USA[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=147097&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=147097&T=1

As an alternative you can also use a QR Code:  

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

Multiple Linear Regression - Estimated Regression Equation
Colombia[t] = -6.45666703697745 + 0.272400216323865USA[t] + e[t]







Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)-6.456667036977454.47982-1.44130.150380.07519
USA0.2724002163238650.01434918.984400

\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) & -6.45666703697745 & 4.47982 & -1.4413 & 0.15038 & 0.07519 \tabularnewline
USA & 0.272400216323865 & 0.014349 & 18.9844 & 0 & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=147097&T=2

[TABLE]
[ROW][C]Multiple Linear Regression - Ordinary Least Squares[/C][/ROW]
[ROW][C]Variable[/C][C]Parameter[/C][C]S.D.[/C][C]T-STATH0: parameter = 0[/C][C]2-tail p-value[/C][C]1-tail p-value[/C][/ROW]
[ROW][C](Intercept)[/C][C]-6.45666703697745[/C][C]4.47982[/C][C]-1.4413[/C][C]0.15038[/C][C]0.07519[/C][/ROW]
[ROW][C]USA[/C][C]0.272400216323865[/C][C]0.014349[/C][C]18.9844[/C][C]0[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=147097&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=147097&T=2

As an alternative you can also use a QR Code:  

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

Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)-6.456667036977454.47982-1.44130.150380.07519
USA0.2724002163238650.01434918.984400







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 Deviation13.3262474800366
Sum Squared Residuals63576.8161399068

\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 & 13.3262474800366 \tabularnewline
Sum Squared Residuals & 63576.8161399068 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=147097&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]13.3262474800366[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]63576.8161399068[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=147097&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=147097&T=3

As an alternative you can also use a QR Code:  

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

Multiple Linear Regression - Regression Statistics
Multiple R0.708290117736513
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 Deviation13.3262474800366
Sum Squared Residuals63576.8161399068







Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
187.2863.005388125608124.2746118743919
287.2869.869873576969617.4101264230304
387.0975.236157838549711.8538421614503
486.9285.94148634007760.978513659922365
587.5995.4754939114129-7.88549391141292
690.72100.732818086464-10.0128180864635
790.6999.5614971562709-8.8714971562709
890.397.5184955338419-7.21849553384191
989.5595.7478941277368-6.19789412773679
1088.9494.0590127865288-5.11901278652883
1188.4190.899170277172-2.48917027717199
1287.8289.4554491306555-1.63544913065552
1387.0787.9300079192419-0.860007919241864
1486.8286.9493671404759-0.129367140475942
1586.486.24112657803390.15887342196611
1686.0282.97232398214753.04767601785248
1785.6681.50136281399864.15863718600137
1885.3279.15872095361346.16127904638659
198577.68775978546457.31224021453548
2084.6773.628996562238911.0410034377611
2183.9471.340834745118512.5991652548815
2282.8370.142273793293512.6877262067065
2381.9569.89711359860212.052886401398
2481.1969.488513274116211.7014867258838
2580.4868.317192343923612.1628076560764
2678.8667.200351456995711.6596485430043
2769.4765.29354994272864.17645005727135
2868.7764.34014918559514.42985081440488
2970.0663.82258877457986.23741122542022
3073.9565.10286979130198.84713020869806
3175.871.0956745504274.70432544957302
3277.7978.3415203046418-0.551520304641797
3381.5781.28344264093960.286557359060442
3483.0782.61820370092650.451796299073509
3584.3483.78952463111910.550475368880895
3685.184.33432506376680.765674936233156
3785.2581.09276248951284.15723751048717
3884.2682.61820370092651.64179629907352
3983.6380.71140218665942.91859781334057
4086.4479.26768104014297.17231895985706
4185.379.81248147279075.48751852720933
4284.179.18596097524584.91403902475422
4383.3681.06552246788052.29447753211954
4482.4880.22108179727652.25891820272354
4581.5877.22467941771394.35532058228605
4680.4775.61751814140324.85248185859685
4779.3471.85839515613387.4816048438662
4882.1369.188873036159912.9411269638401
4981.6968.289952322291213.4000476777088
5080.764.040508947638916.6594910523611
5179.8862.542307757857617.3376922421424
5279.1661.915787260312717.2442127396873
5378.3861.207546697870717.1724533021293
5477.4261.507186935826915.9128130641731
5576.4760.581026200325815.8889737996742
5675.4660.145185854207615.3148141457924
5774.4859.900025659516114.5799743404839
5878.2760.008985746045718.2610142539543
5980.759.137305053809321.5626949461907
6079.9161.588907000724118.3210929992759
6178.7561.098586611341117.6514133886589
6277.7864.203949077433213.5760509225668
6381.1464.503589315389416.6364106846106
6481.0864.585309380286616.4946906197134
6580.0364.721509488448515.3084905115515
6678.9164.231189099065614.6788109009344
6778.0163.441228471726414.5687715282736
6876.963.795348752947413.1046512470526
6975.9763.41398845009412.556011549906
7081.9362.787467952549119.1425320474509
7180.2762.542307757857617.7276922421424
7278.6762.678507866019615.9914921339805
7377.4263.141588233770114.2784117662299
7476.1663.577428579888312.5825714201117
7574.763.631908623153111.0680913768469
7676.3962.515067736225213.8749322637748
7776.0462.406107649695713.6338923503043
7874.6562.188187476636612.4618125233634
7973.2961.834067195415611.4559328045844
8071.7962.24266751990149.54733248009865
8174.3961.643387043988912.7466129560111
8274.9161.915787260312712.9942127396873
8374.5462.5695477794911.97045222051
8473.0861.970267303577511.1097326964225
8572.7563.16882825540259.5811717445975
8671.3264.66702944518386.65297055481622
8770.3864.06774896927126.31225103072874
8870.3564.34014918559516.00985081440487
8970.0164.69426946681625.31573053318386
9069.3665.64767022394973.71232977605032
9167.7766.3014307431271.46856925687304
9269.2666.11075059170023.14924940829976
9369.866.46487087292133.33512912707873
9468.3866.71003106761281.66996893238724
9567.6266.41039082965651.2096091703435
9668.3966.68279104598041.70720895401963
9766.9566.68279104598040.267208954019636
9865.2167.2275914786281-2.0175914786281
9966.6467.3365515651576-0.696551565157637
10063.4567.1186313920986-3.66863139209855
10160.6666.9007112190395-6.24071121903947
10262.3467.0369113272014-4.69691132720139
10360.3267.1186313920986-6.79863139209856
10458.6465.7021502672144-7.06215026721444
10560.4665.3752700076258-4.91527000762581
10658.5965.6749102455821-7.08491024558206
10761.8765.3752700076258-3.50527000762581
10861.8563.2505483202997-1.40054832029966
10967.4468.7802727116741-1.34027271167413
11077.0691.6346508612464-14.5746508612464
11191.7497.1916152742533-5.45161527425328
11293.1595.339293803251-2.18929380325098
11394.1594.2769329595879-0.126932959587912
11493.1193.4052522673516-0.295252267351557
11591.5191.41673068818730.0932693118126701
11689.9687.73932776781522.22067223218484
11788.1682.40028352786745.75971647213261
11886.9881.93720316011685.04279683988318
11988.0382.91784393888275.11215606111726
12086.2482.75440380908843.48559619091158
12184.6581.90996313848442.74003686151558
12283.2379.75800142952593.4719985704741
12381.778.23256021811223.46743978188776
12480.2575.67199818466794.57800181533208
12578.873.0024760646945.79752393530596
12677.5172.6483557834734.861644216527
12776.271.83115513450144.36884486549859
12875.0469.18887303615995.85112696384008
1297470.2512338798233.74876612017699
13075.4971.99459526429573.49540473570426
13177.1468.72579266840948.41420733159064
13276.1567.88135199780548.26864800219464
13376.2770.63259418267645.63740581732358
13478.1970.71431424757367.47568575242642
13576.4968.94371284146857.54628715853154
13677.3171.04119450716226.26880549283779
13776.6570.55087411777926.09912588222076
13874.9970.14227379329354.84772620670654
13973.5171.83115513450141.67884486549859
14072.0770.65983420430881.41016579569119
14170.5970.9049943990003-0.314994399000274
14271.9671.31359472348610.646405276513918
14376.2972.32147552388443.96852447611563
14474.8673.22039623775311.63960376224687
14574.9374.28275708141620.647242918583805
14671.976.6798789850662-4.77987898506621
14771.0176.3257587038452-5.31575870384519
14877.4778.3960003479066-0.926000347906574
14975.7879.7035213862611-3.92352138626113
15076.679.8124814727907-3.21248147279067
15176.0781.3924027274691-5.3224027274691
15274.5779.9214415593202-5.35144155932023
15373.0277.932919980156-4.91291998015601
15472.6576.2985186822128-3.64851868221281
15573.1672.62111576184060.538884238159364
15671.5373.5472764973418-2.01727649734177
15769.7873.002476064694-3.22247606469404
15867.9874.3099971030486-6.32999710304859
15969.9672.294235502252-2.334235502252
16072.1672.13079537245770.0292046275423244
16170.4773.5745165189742-3.10451651897416
16268.8674.6368773626372-5.77687736263723
16367.3776.734359028331-9.36435902833098
16465.8775.9988784442565-10.1288784442566
16572.1675.9443984009918-3.78439840099179
16671.3476.0805985091537-4.74059850915372
16769.9373.7651966704009-3.83519667040086
16868.4473.6562365838713-5.21623658387133
16967.1673.7651966704009-6.60519667040087
17066.0174.4734372328429-8.46343723284291
17167.2572.3759555671491-5.12595556714914
17270.9173.1931562161207-2.28315621612074
17369.7571.9673552426633-2.21735524266335
17468.5971.6132349614423-3.02323496144233
17567.4869.9515936418668-2.47159364186675
17666.3167.7451518896434-1.43515188964343
17764.8166.8734711974071-2.06347119740707
17866.5867.2548315002605-0.674831500260491
17965.9766.3559107863917-0.385910786391732
18064.765.0483897480372-0.348389748037172
18164.766.2197106782298-1.5197106782298
18260.9466.7645111108775-5.82451111087753
18359.0865.2118298778315-6.1318298778315
18458.4264.6942694668162-6.27426946681615
18557.7766.0017905051707-8.2317905051707
18657.1165.0483897480372-7.93838974803718
18753.3165.7838703321116-12.4738703321116
18849.9664.7215094884485-14.7615094884485
18949.462.6512678443872-13.2512678443872
19048.8461.4254668709298-12.5854668709298
19148.358.6742246860587-10.3742246860587
19247.7457.9387441019843-10.1987441019843
19347.2457.6118638423956-10.3718638423956
19446.7660.3358660056343-13.5758660056343
19546.2960.6082662219582-14.3182662219582
19648.961.016866546444-12.116866546444
19749.2362.0247473468423-12.7947473468423
19848.5362.5423077578576-14.0123077578576
19948.0362.9509080823434-14.9209080823434
20054.3461.6433870439889-7.30338704398886
20153.7961.4527068925622-7.66270689256216
20253.2459.327985205236-6.087985205236
20352.9659.818305594619-6.85830559461897
20452.1761.0985866113411-8.92858661134112
20551.762.4605876929605-10.7605876929605
20658.5562.4333476713281-3.88334767132807
20778.262.051987368474716.1480126315253
20877.0362.07922739010714.950772609893
20976.1962.596787801122413.5932121988776
21077.1564.312909163962712.8370908360373
21175.8784.5522452368259-8.68224523682593
21295.47115.578629876114-20.1086298761142
213109.67114.979349400202-5.30934940020168
214112.28114.761429227143-2.48142922714259
215112.01115.633109919379-3.62310991937895
216107.93112.90910775614-4.97910775614029
217105.96113.344948102258-7.38494810225849
218105.06108.877584554547-3.81758455454708
219102.98105.445341828866-2.46534182886639
220102.2104.791581309689-2.59158130968911
221105.23104.3285009419390.901499058061462
222101.85104.110580768879-2.26058076887945
22399.89103.238900076643-3.34890007664308
22496.23103.89266059582-7.66266059582036
22594.76102.394459406039-7.6344594060391
22691.5198.8260165721965-7.31601657219646
22791.6397.4367754689447-5.80677546894475
22891.5495.7478941277368-4.20789412773678
22985.2390.9808903420691-5.75089034206914
23087.8391.3350106232902-3.50501062329017
23187.3890.2454097579947-2.86540975799472
23284.4489.6188892604498-5.17888926044982
23385.1987.3579674649617-2.16796746496173
23484.0387.1945273351674-3.16452733516742
23586.7385.6146060804891.115393919511
236102.5285.887006296812916.6329937031871
237104.4584.334325063766820.1156749362332
238106.9884.633965301723122.3460346982769
239107.0282.972323982147524.0476760178525
24099.2683.626084501324815.6339154986752
24194.4583.435404349898111.0145956501019
242113.4483.871244696016329.5687553039837
243157.3389.21028893596468.119711064036
244147.3899.615977199535747.7640228004643
245171.89105.47258185049966.4174181495012
246171.95114.1621487512357.7878512487699
247132.71119.61015307770713.0998469222926
248126.02120.7269939646355.29300603536476
249121.18119.3105128397511.86948716024887
250115.45113.1815079724642.26849202753583
251110.48110.757146047182-0.277146047181768
252117.85106.88906297538310.9609370246171
253117.63103.18442003337814.4455799666217
254124.65101.76793890849422.8820610915058
255109.59103.4023402064376.1876597935626
256111.27101.3865786056419.8834213943592
25799.7899.18013685341750.599863146582507
25898.2196.67405486323791.53594513676206
25999.296.26545453875212.93454546124786
26097.9794.44037308938223.52962691061777
26189.5592.1522112722618-2.60221127226177
26287.9188.9651287412726-1.05512874127255
26393.3488.39308828699244.94691171300758
26494.4287.41244750822657.00755249177348
26593.287.11280727027036.08719272972974
26690.2986.92212711884363.36787288115645
26791.4688.22964815719813.23035184280188
26889.9887.95724794087432.02275205912575
26988.3588.7472085682135-0.397208568213458
27088.4186.73144696741691.67855303258314
27182.4486.7042069457845-4.26420694578447
27279.8986.9221271188436-7.03212711884356
27375.6985.96872636171-10.27872636171
27475.6688.3930882869924-12.7330882869924
27584.584.44328515029640.0567148497036215
27696.7384.715685366620212.0143146333798
27787.4889.9730095416708-2.49300954167084
27882.3993.7048925053078-11.3148925053078
27983.4892.5063315534828-9.02633155348279
28079.3191.1715704934958-11.8615704934958
28178.1689.7278493469794-11.5678493469794
28272.7787.0038471837407-14.2338471837407
28372.4587.4124475082265-14.9624475082265
28468.4687.3579674649617-18.8979674649617
28567.6284.4977651935612-16.8777651935611
28668.7683.8984847176486-15.1384847176486
28770.0781.882723116852-11.8127231168521
28868.5581.0382824462481-12.4882824462481
28965.381.3651627058367-16.0651627058367
29058.9681.17448255441-22.21448255441
29159.1780.8476022948214-21.6776022948214
29262.3778.7501206291276-16.3801206291276
29366.2877.9056799585236-11.6256799585236
29455.6279.5128412348344-23.8928412348344
29555.2377.9056799585236-22.6756799585236
29655.8576.5164388552719-20.6664388552719
29756.7575.9443984009918-19.1943984009918
29850.8975.6719981846679-24.7819981846679
29953.8874.9365176005935-21.0565176005935
30052.9572.8935159781645-19.9435159781645
30155.0873.5200364757094-18.4400364757094
30253.6173.7924366920333-20.1824366920333
30358.7871.4225548100156-12.6425548100156
30461.8574.6096373410049-12.7596373410048
30555.9175.5630380981384-19.6530380981384
30653.3273.5745165189742-20.2545165189742
30746.4174.6368773626372-28.2268773626372
30844.5773.3293563242827-28.7593563242827
3095073.1114361512236-23.1114361512236
3105071.7766750912367-21.7766750912366
31153.3672.0490753075605-18.6890753075605
31246.2370.8505143557355-24.6205143557355
31350.4575.2361578385497-24.7861578385497
31449.0773.1931562161207-24.1231562161207
31545.8573.4383164108122-27.5883164108122
31648.4575.4813180332412-27.0313180332412
31749.9673.5472764973418-23.5872764973418
31846.5373.3838363675475-26.8538363675475
31950.5173.7379566487685-23.2279566487685
32047.5873.1114361512236-25.5314361512236
32148.0573.0569561079588-25.0069561079588
32246.8470.4963940745145-23.6563940745145
32347.6769.2433530794247-21.5733530794247
32449.1671.8583951561338-22.6983951561338
32555.5472.3214755238844-16.7814755238844
32655.8271.3408347451185-15.5208347451185
32758.2273.4110763891798-15.1910763891798
32856.1972.7573158700026-16.5673158700026
32957.7770.6598342043088-12.8898342043088
33063.1968.4533924520855-5.26339245208549
33154.7671.940115221031-17.180115221031
33255.7471.940115221031-16.200115221031
33362.5471.8311551345014-9.29115513450141
33461.3970.9049943990003-9.51499439900028
33569.669.21611305779230.383886942207677
33679.2369.161633014527610.0683669854725
3378076.59815892016913.40184107983094
33893.6873.628996562238920.0510034377611
339107.6375.508558054873632.1214419451264
340100.1881.801003051954918.3789969480451
34197.384.225364977237313.0746350227627
34290.4586.59524685925493.85475314074508
34380.6484.3615650853992-3.72156508539922
34480.5888.3930882869924-7.81308828699243
34575.8287.4396875298589-11.6196875298589
34685.5987.4396875298589-1.84968752985889
34789.3583.24472419847146.10527580152862
34889.4281.66480294379297.75519705620705
349104.7381.583082878895823.1469171211042
35095.3280.003161624217415.3168383757826
35189.2783.46264437153055.80735562846952
35290.4483.2174841768397.22251582316101
35386.9784.7701654098852.19983459011498
35479.9879.56732127809920.412678721900807
35581.2279.45836119156961.76163880843036
35687.3580.60244210012996.74755789987011
35783.6479.9759216025853.66407839741501
35882.2279.02252084545153.19747915454853
35994.479.567321278099214.8326787219008
360102.1878.341520304641823.8384796953582

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 87.28 & 63.0053881256081 & 24.2746118743919 \tabularnewline
2 & 87.28 & 69.8698735769696 & 17.4101264230304 \tabularnewline
3 & 87.09 & 75.2361578385497 & 11.8538421614503 \tabularnewline
4 & 86.92 & 85.9414863400776 & 0.978513659922365 \tabularnewline
5 & 87.59 & 95.4754939114129 & -7.88549391141292 \tabularnewline
6 & 90.72 & 100.732818086464 & -10.0128180864635 \tabularnewline
7 & 90.69 & 99.5614971562709 & -8.8714971562709 \tabularnewline
8 & 90.3 & 97.5184955338419 & -7.21849553384191 \tabularnewline
9 & 89.55 & 95.7478941277368 & -6.19789412773679 \tabularnewline
10 & 88.94 & 94.0590127865288 & -5.11901278652883 \tabularnewline
11 & 88.41 & 90.899170277172 & -2.48917027717199 \tabularnewline
12 & 87.82 & 89.4554491306555 & -1.63544913065552 \tabularnewline
13 & 87.07 & 87.9300079192419 & -0.860007919241864 \tabularnewline
14 & 86.82 & 86.9493671404759 & -0.129367140475942 \tabularnewline
15 & 86.4 & 86.2411265780339 & 0.15887342196611 \tabularnewline
16 & 86.02 & 82.9723239821475 & 3.04767601785248 \tabularnewline
17 & 85.66 & 81.5013628139986 & 4.15863718600137 \tabularnewline
18 & 85.32 & 79.1587209536134 & 6.16127904638659 \tabularnewline
19 & 85 & 77.6877597854645 & 7.31224021453548 \tabularnewline
20 & 84.67 & 73.6289965622389 & 11.0410034377611 \tabularnewline
21 & 83.94 & 71.3408347451185 & 12.5991652548815 \tabularnewline
22 & 82.83 & 70.1422737932935 & 12.6877262067065 \tabularnewline
23 & 81.95 & 69.897113598602 & 12.052886401398 \tabularnewline
24 & 81.19 & 69.4885132741162 & 11.7014867258838 \tabularnewline
25 & 80.48 & 68.3171923439236 & 12.1628076560764 \tabularnewline
26 & 78.86 & 67.2003514569957 & 11.6596485430043 \tabularnewline
27 & 69.47 & 65.2935499427286 & 4.17645005727135 \tabularnewline
28 & 68.77 & 64.3401491855951 & 4.42985081440488 \tabularnewline
29 & 70.06 & 63.8225887745798 & 6.23741122542022 \tabularnewline
30 & 73.95 & 65.1028697913019 & 8.84713020869806 \tabularnewline
31 & 75.8 & 71.095674550427 & 4.70432544957302 \tabularnewline
32 & 77.79 & 78.3415203046418 & -0.551520304641797 \tabularnewline
33 & 81.57 & 81.2834426409396 & 0.286557359060442 \tabularnewline
34 & 83.07 & 82.6182037009265 & 0.451796299073509 \tabularnewline
35 & 84.34 & 83.7895246311191 & 0.550475368880895 \tabularnewline
36 & 85.1 & 84.3343250637668 & 0.765674936233156 \tabularnewline
37 & 85.25 & 81.0927624895128 & 4.15723751048717 \tabularnewline
38 & 84.26 & 82.6182037009265 & 1.64179629907352 \tabularnewline
39 & 83.63 & 80.7114021866594 & 2.91859781334057 \tabularnewline
40 & 86.44 & 79.2676810401429 & 7.17231895985706 \tabularnewline
41 & 85.3 & 79.8124814727907 & 5.48751852720933 \tabularnewline
42 & 84.1 & 79.1859609752458 & 4.91403902475422 \tabularnewline
43 & 83.36 & 81.0655224678805 & 2.29447753211954 \tabularnewline
44 & 82.48 & 80.2210817972765 & 2.25891820272354 \tabularnewline
45 & 81.58 & 77.2246794177139 & 4.35532058228605 \tabularnewline
46 & 80.47 & 75.6175181414032 & 4.85248185859685 \tabularnewline
47 & 79.34 & 71.8583951561338 & 7.4816048438662 \tabularnewline
48 & 82.13 & 69.1888730361599 & 12.9411269638401 \tabularnewline
49 & 81.69 & 68.2899523222912 & 13.4000476777088 \tabularnewline
50 & 80.7 & 64.0405089476389 & 16.6594910523611 \tabularnewline
51 & 79.88 & 62.5423077578576 & 17.3376922421424 \tabularnewline
52 & 79.16 & 61.9157872603127 & 17.2442127396873 \tabularnewline
53 & 78.38 & 61.2075466978707 & 17.1724533021293 \tabularnewline
54 & 77.42 & 61.5071869358269 & 15.9128130641731 \tabularnewline
55 & 76.47 & 60.5810262003258 & 15.8889737996742 \tabularnewline
56 & 75.46 & 60.1451858542076 & 15.3148141457924 \tabularnewline
57 & 74.48 & 59.9000256595161 & 14.5799743404839 \tabularnewline
58 & 78.27 & 60.0089857460457 & 18.2610142539543 \tabularnewline
59 & 80.7 & 59.1373050538093 & 21.5626949461907 \tabularnewline
60 & 79.91 & 61.5889070007241 & 18.3210929992759 \tabularnewline
61 & 78.75 & 61.0985866113411 & 17.6514133886589 \tabularnewline
62 & 77.78 & 64.2039490774332 & 13.5760509225668 \tabularnewline
63 & 81.14 & 64.5035893153894 & 16.6364106846106 \tabularnewline
64 & 81.08 & 64.5853093802866 & 16.4946906197134 \tabularnewline
65 & 80.03 & 64.7215094884485 & 15.3084905115515 \tabularnewline
66 & 78.91 & 64.2311890990656 & 14.6788109009344 \tabularnewline
67 & 78.01 & 63.4412284717264 & 14.5687715282736 \tabularnewline
68 & 76.9 & 63.7953487529474 & 13.1046512470526 \tabularnewline
69 & 75.97 & 63.413988450094 & 12.556011549906 \tabularnewline
70 & 81.93 & 62.7874679525491 & 19.1425320474509 \tabularnewline
71 & 80.27 & 62.5423077578576 & 17.7276922421424 \tabularnewline
72 & 78.67 & 62.6785078660196 & 15.9914921339805 \tabularnewline
73 & 77.42 & 63.1415882337701 & 14.2784117662299 \tabularnewline
74 & 76.16 & 63.5774285798883 & 12.5825714201117 \tabularnewline
75 & 74.7 & 63.6319086231531 & 11.0680913768469 \tabularnewline
76 & 76.39 & 62.5150677362252 & 13.8749322637748 \tabularnewline
77 & 76.04 & 62.4061076496957 & 13.6338923503043 \tabularnewline
78 & 74.65 & 62.1881874766366 & 12.4618125233634 \tabularnewline
79 & 73.29 & 61.8340671954156 & 11.4559328045844 \tabularnewline
80 & 71.79 & 62.2426675199014 & 9.54733248009865 \tabularnewline
81 & 74.39 & 61.6433870439889 & 12.7466129560111 \tabularnewline
82 & 74.91 & 61.9157872603127 & 12.9942127396873 \tabularnewline
83 & 74.54 & 62.56954777949 & 11.97045222051 \tabularnewline
84 & 73.08 & 61.9702673035775 & 11.1097326964225 \tabularnewline
85 & 72.75 & 63.1688282554025 & 9.5811717445975 \tabularnewline
86 & 71.32 & 64.6670294451838 & 6.65297055481622 \tabularnewline
87 & 70.38 & 64.0677489692712 & 6.31225103072874 \tabularnewline
88 & 70.35 & 64.3401491855951 & 6.00985081440487 \tabularnewline
89 & 70.01 & 64.6942694668162 & 5.31573053318386 \tabularnewline
90 & 69.36 & 65.6476702239497 & 3.71232977605032 \tabularnewline
91 & 67.77 & 66.301430743127 & 1.46856925687304 \tabularnewline
92 & 69.26 & 66.1107505917002 & 3.14924940829976 \tabularnewline
93 & 69.8 & 66.4648708729213 & 3.33512912707873 \tabularnewline
94 & 68.38 & 66.7100310676128 & 1.66996893238724 \tabularnewline
95 & 67.62 & 66.4103908296565 & 1.2096091703435 \tabularnewline
96 & 68.39 & 66.6827910459804 & 1.70720895401963 \tabularnewline
97 & 66.95 & 66.6827910459804 & 0.267208954019636 \tabularnewline
98 & 65.21 & 67.2275914786281 & -2.0175914786281 \tabularnewline
99 & 66.64 & 67.3365515651576 & -0.696551565157637 \tabularnewline
100 & 63.45 & 67.1186313920986 & -3.66863139209855 \tabularnewline
101 & 60.66 & 66.9007112190395 & -6.24071121903947 \tabularnewline
102 & 62.34 & 67.0369113272014 & -4.69691132720139 \tabularnewline
103 & 60.32 & 67.1186313920986 & -6.79863139209856 \tabularnewline
104 & 58.64 & 65.7021502672144 & -7.06215026721444 \tabularnewline
105 & 60.46 & 65.3752700076258 & -4.91527000762581 \tabularnewline
106 & 58.59 & 65.6749102455821 & -7.08491024558206 \tabularnewline
107 & 61.87 & 65.3752700076258 & -3.50527000762581 \tabularnewline
108 & 61.85 & 63.2505483202997 & -1.40054832029966 \tabularnewline
109 & 67.44 & 68.7802727116741 & -1.34027271167413 \tabularnewline
110 & 77.06 & 91.6346508612464 & -14.5746508612464 \tabularnewline
111 & 91.74 & 97.1916152742533 & -5.45161527425328 \tabularnewline
112 & 93.15 & 95.339293803251 & -2.18929380325098 \tabularnewline
113 & 94.15 & 94.2769329595879 & -0.126932959587912 \tabularnewline
114 & 93.11 & 93.4052522673516 & -0.295252267351557 \tabularnewline
115 & 91.51 & 91.4167306881873 & 0.0932693118126701 \tabularnewline
116 & 89.96 & 87.7393277678152 & 2.22067223218484 \tabularnewline
117 & 88.16 & 82.4002835278674 & 5.75971647213261 \tabularnewline
118 & 86.98 & 81.9372031601168 & 5.04279683988318 \tabularnewline
119 & 88.03 & 82.9178439388827 & 5.11215606111726 \tabularnewline
120 & 86.24 & 82.7544038090884 & 3.48559619091158 \tabularnewline
121 & 84.65 & 81.9099631384844 & 2.74003686151558 \tabularnewline
122 & 83.23 & 79.7580014295259 & 3.4719985704741 \tabularnewline
123 & 81.7 & 78.2325602181122 & 3.46743978188776 \tabularnewline
124 & 80.25 & 75.6719981846679 & 4.57800181533208 \tabularnewline
125 & 78.8 & 73.002476064694 & 5.79752393530596 \tabularnewline
126 & 77.51 & 72.648355783473 & 4.861644216527 \tabularnewline
127 & 76.2 & 71.8311551345014 & 4.36884486549859 \tabularnewline
128 & 75.04 & 69.1888730361599 & 5.85112696384008 \tabularnewline
129 & 74 & 70.251233879823 & 3.74876612017699 \tabularnewline
130 & 75.49 & 71.9945952642957 & 3.49540473570426 \tabularnewline
131 & 77.14 & 68.7257926684094 & 8.41420733159064 \tabularnewline
132 & 76.15 & 67.8813519978054 & 8.26864800219464 \tabularnewline
133 & 76.27 & 70.6325941826764 & 5.63740581732358 \tabularnewline
134 & 78.19 & 70.7143142475736 & 7.47568575242642 \tabularnewline
135 & 76.49 & 68.9437128414685 & 7.54628715853154 \tabularnewline
136 & 77.31 & 71.0411945071622 & 6.26880549283779 \tabularnewline
137 & 76.65 & 70.5508741177792 & 6.09912588222076 \tabularnewline
138 & 74.99 & 70.1422737932935 & 4.84772620670654 \tabularnewline
139 & 73.51 & 71.8311551345014 & 1.67884486549859 \tabularnewline
140 & 72.07 & 70.6598342043088 & 1.41016579569119 \tabularnewline
141 & 70.59 & 70.9049943990003 & -0.314994399000274 \tabularnewline
142 & 71.96 & 71.3135947234861 & 0.646405276513918 \tabularnewline
143 & 76.29 & 72.3214755238844 & 3.96852447611563 \tabularnewline
144 & 74.86 & 73.2203962377531 & 1.63960376224687 \tabularnewline
145 & 74.93 & 74.2827570814162 & 0.647242918583805 \tabularnewline
146 & 71.9 & 76.6798789850662 & -4.77987898506621 \tabularnewline
147 & 71.01 & 76.3257587038452 & -5.31575870384519 \tabularnewline
148 & 77.47 & 78.3960003479066 & -0.926000347906574 \tabularnewline
149 & 75.78 & 79.7035213862611 & -3.92352138626113 \tabularnewline
150 & 76.6 & 79.8124814727907 & -3.21248147279067 \tabularnewline
151 & 76.07 & 81.3924027274691 & -5.3224027274691 \tabularnewline
152 & 74.57 & 79.9214415593202 & -5.35144155932023 \tabularnewline
153 & 73.02 & 77.932919980156 & -4.91291998015601 \tabularnewline
154 & 72.65 & 76.2985186822128 & -3.64851868221281 \tabularnewline
155 & 73.16 & 72.6211157618406 & 0.538884238159364 \tabularnewline
156 & 71.53 & 73.5472764973418 & -2.01727649734177 \tabularnewline
157 & 69.78 & 73.002476064694 & -3.22247606469404 \tabularnewline
158 & 67.98 & 74.3099971030486 & -6.32999710304859 \tabularnewline
159 & 69.96 & 72.294235502252 & -2.334235502252 \tabularnewline
160 & 72.16 & 72.1307953724577 & 0.0292046275423244 \tabularnewline
161 & 70.47 & 73.5745165189742 & -3.10451651897416 \tabularnewline
162 & 68.86 & 74.6368773626372 & -5.77687736263723 \tabularnewline
163 & 67.37 & 76.734359028331 & -9.36435902833098 \tabularnewline
164 & 65.87 & 75.9988784442565 & -10.1288784442566 \tabularnewline
165 & 72.16 & 75.9443984009918 & -3.78439840099179 \tabularnewline
166 & 71.34 & 76.0805985091537 & -4.74059850915372 \tabularnewline
167 & 69.93 & 73.7651966704009 & -3.83519667040086 \tabularnewline
168 & 68.44 & 73.6562365838713 & -5.21623658387133 \tabularnewline
169 & 67.16 & 73.7651966704009 & -6.60519667040087 \tabularnewline
170 & 66.01 & 74.4734372328429 & -8.46343723284291 \tabularnewline
171 & 67.25 & 72.3759555671491 & -5.12595556714914 \tabularnewline
172 & 70.91 & 73.1931562161207 & -2.28315621612074 \tabularnewline
173 & 69.75 & 71.9673552426633 & -2.21735524266335 \tabularnewline
174 & 68.59 & 71.6132349614423 & -3.02323496144233 \tabularnewline
175 & 67.48 & 69.9515936418668 & -2.47159364186675 \tabularnewline
176 & 66.31 & 67.7451518896434 & -1.43515188964343 \tabularnewline
177 & 64.81 & 66.8734711974071 & -2.06347119740707 \tabularnewline
178 & 66.58 & 67.2548315002605 & -0.674831500260491 \tabularnewline
179 & 65.97 & 66.3559107863917 & -0.385910786391732 \tabularnewline
180 & 64.7 & 65.0483897480372 & -0.348389748037172 \tabularnewline
181 & 64.7 & 66.2197106782298 & -1.5197106782298 \tabularnewline
182 & 60.94 & 66.7645111108775 & -5.82451111087753 \tabularnewline
183 & 59.08 & 65.2118298778315 & -6.1318298778315 \tabularnewline
184 & 58.42 & 64.6942694668162 & -6.27426946681615 \tabularnewline
185 & 57.77 & 66.0017905051707 & -8.2317905051707 \tabularnewline
186 & 57.11 & 65.0483897480372 & -7.93838974803718 \tabularnewline
187 & 53.31 & 65.7838703321116 & -12.4738703321116 \tabularnewline
188 & 49.96 & 64.7215094884485 & -14.7615094884485 \tabularnewline
189 & 49.4 & 62.6512678443872 & -13.2512678443872 \tabularnewline
190 & 48.84 & 61.4254668709298 & -12.5854668709298 \tabularnewline
191 & 48.3 & 58.6742246860587 & -10.3742246860587 \tabularnewline
192 & 47.74 & 57.9387441019843 & -10.1987441019843 \tabularnewline
193 & 47.24 & 57.6118638423956 & -10.3718638423956 \tabularnewline
194 & 46.76 & 60.3358660056343 & -13.5758660056343 \tabularnewline
195 & 46.29 & 60.6082662219582 & -14.3182662219582 \tabularnewline
196 & 48.9 & 61.016866546444 & -12.116866546444 \tabularnewline
197 & 49.23 & 62.0247473468423 & -12.7947473468423 \tabularnewline
198 & 48.53 & 62.5423077578576 & -14.0123077578576 \tabularnewline
199 & 48.03 & 62.9509080823434 & -14.9209080823434 \tabularnewline
200 & 54.34 & 61.6433870439889 & -7.30338704398886 \tabularnewline
201 & 53.79 & 61.4527068925622 & -7.66270689256216 \tabularnewline
202 & 53.24 & 59.327985205236 & -6.087985205236 \tabularnewline
203 & 52.96 & 59.818305594619 & -6.85830559461897 \tabularnewline
204 & 52.17 & 61.0985866113411 & -8.92858661134112 \tabularnewline
205 & 51.7 & 62.4605876929605 & -10.7605876929605 \tabularnewline
206 & 58.55 & 62.4333476713281 & -3.88334767132807 \tabularnewline
207 & 78.2 & 62.0519873684747 & 16.1480126315253 \tabularnewline
208 & 77.03 & 62.079227390107 & 14.950772609893 \tabularnewline
209 & 76.19 & 62.5967878011224 & 13.5932121988776 \tabularnewline
210 & 77.15 & 64.3129091639627 & 12.8370908360373 \tabularnewline
211 & 75.87 & 84.5522452368259 & -8.68224523682593 \tabularnewline
212 & 95.47 & 115.578629876114 & -20.1086298761142 \tabularnewline
213 & 109.67 & 114.979349400202 & -5.30934940020168 \tabularnewline
214 & 112.28 & 114.761429227143 & -2.48142922714259 \tabularnewline
215 & 112.01 & 115.633109919379 & -3.62310991937895 \tabularnewline
216 & 107.93 & 112.90910775614 & -4.97910775614029 \tabularnewline
217 & 105.96 & 113.344948102258 & -7.38494810225849 \tabularnewline
218 & 105.06 & 108.877584554547 & -3.81758455454708 \tabularnewline
219 & 102.98 & 105.445341828866 & -2.46534182886639 \tabularnewline
220 & 102.2 & 104.791581309689 & -2.59158130968911 \tabularnewline
221 & 105.23 & 104.328500941939 & 0.901499058061462 \tabularnewline
222 & 101.85 & 104.110580768879 & -2.26058076887945 \tabularnewline
223 & 99.89 & 103.238900076643 & -3.34890007664308 \tabularnewline
224 & 96.23 & 103.89266059582 & -7.66266059582036 \tabularnewline
225 & 94.76 & 102.394459406039 & -7.6344594060391 \tabularnewline
226 & 91.51 & 98.8260165721965 & -7.31601657219646 \tabularnewline
227 & 91.63 & 97.4367754689447 & -5.80677546894475 \tabularnewline
228 & 91.54 & 95.7478941277368 & -4.20789412773678 \tabularnewline
229 & 85.23 & 90.9808903420691 & -5.75089034206914 \tabularnewline
230 & 87.83 & 91.3350106232902 & -3.50501062329017 \tabularnewline
231 & 87.38 & 90.2454097579947 & -2.86540975799472 \tabularnewline
232 & 84.44 & 89.6188892604498 & -5.17888926044982 \tabularnewline
233 & 85.19 & 87.3579674649617 & -2.16796746496173 \tabularnewline
234 & 84.03 & 87.1945273351674 & -3.16452733516742 \tabularnewline
235 & 86.73 & 85.614606080489 & 1.115393919511 \tabularnewline
236 & 102.52 & 85.8870062968129 & 16.6329937031871 \tabularnewline
237 & 104.45 & 84.3343250637668 & 20.1156749362332 \tabularnewline
238 & 106.98 & 84.6339653017231 & 22.3460346982769 \tabularnewline
239 & 107.02 & 82.9723239821475 & 24.0476760178525 \tabularnewline
240 & 99.26 & 83.6260845013248 & 15.6339154986752 \tabularnewline
241 & 94.45 & 83.4354043498981 & 11.0145956501019 \tabularnewline
242 & 113.44 & 83.8712446960163 & 29.5687553039837 \tabularnewline
243 & 157.33 & 89.210288935964 & 68.119711064036 \tabularnewline
244 & 147.38 & 99.6159771995357 & 47.7640228004643 \tabularnewline
245 & 171.89 & 105.472581850499 & 66.4174181495012 \tabularnewline
246 & 171.95 & 114.16214875123 & 57.7878512487699 \tabularnewline
247 & 132.71 & 119.610153077707 & 13.0998469222926 \tabularnewline
248 & 126.02 & 120.726993964635 & 5.29300603536476 \tabularnewline
249 & 121.18 & 119.310512839751 & 1.86948716024887 \tabularnewline
250 & 115.45 & 113.181507972464 & 2.26849202753583 \tabularnewline
251 & 110.48 & 110.757146047182 & -0.277146047181768 \tabularnewline
252 & 117.85 & 106.889062975383 & 10.9609370246171 \tabularnewline
253 & 117.63 & 103.184420033378 & 14.4455799666217 \tabularnewline
254 & 124.65 & 101.767938908494 & 22.8820610915058 \tabularnewline
255 & 109.59 & 103.402340206437 & 6.1876597935626 \tabularnewline
256 & 111.27 & 101.386578605641 & 9.8834213943592 \tabularnewline
257 & 99.78 & 99.1801368534175 & 0.599863146582507 \tabularnewline
258 & 98.21 & 96.6740548632379 & 1.53594513676206 \tabularnewline
259 & 99.2 & 96.2654545387521 & 2.93454546124786 \tabularnewline
260 & 97.97 & 94.4403730893822 & 3.52962691061777 \tabularnewline
261 & 89.55 & 92.1522112722618 & -2.60221127226177 \tabularnewline
262 & 87.91 & 88.9651287412726 & -1.05512874127255 \tabularnewline
263 & 93.34 & 88.3930882869924 & 4.94691171300758 \tabularnewline
264 & 94.42 & 87.4124475082265 & 7.00755249177348 \tabularnewline
265 & 93.2 & 87.1128072702703 & 6.08719272972974 \tabularnewline
266 & 90.29 & 86.9221271188436 & 3.36787288115645 \tabularnewline
267 & 91.46 & 88.2296481571981 & 3.23035184280188 \tabularnewline
268 & 89.98 & 87.9572479408743 & 2.02275205912575 \tabularnewline
269 & 88.35 & 88.7472085682135 & -0.397208568213458 \tabularnewline
270 & 88.41 & 86.7314469674169 & 1.67855303258314 \tabularnewline
271 & 82.44 & 86.7042069457845 & -4.26420694578447 \tabularnewline
272 & 79.89 & 86.9221271188436 & -7.03212711884356 \tabularnewline
273 & 75.69 & 85.96872636171 & -10.27872636171 \tabularnewline
274 & 75.66 & 88.3930882869924 & -12.7330882869924 \tabularnewline
275 & 84.5 & 84.4432851502964 & 0.0567148497036215 \tabularnewline
276 & 96.73 & 84.7156853666202 & 12.0143146333798 \tabularnewline
277 & 87.48 & 89.9730095416708 & -2.49300954167084 \tabularnewline
278 & 82.39 & 93.7048925053078 & -11.3148925053078 \tabularnewline
279 & 83.48 & 92.5063315534828 & -9.02633155348279 \tabularnewline
280 & 79.31 & 91.1715704934958 & -11.8615704934958 \tabularnewline
281 & 78.16 & 89.7278493469794 & -11.5678493469794 \tabularnewline
282 & 72.77 & 87.0038471837407 & -14.2338471837407 \tabularnewline
283 & 72.45 & 87.4124475082265 & -14.9624475082265 \tabularnewline
284 & 68.46 & 87.3579674649617 & -18.8979674649617 \tabularnewline
285 & 67.62 & 84.4977651935612 & -16.8777651935611 \tabularnewline
286 & 68.76 & 83.8984847176486 & -15.1384847176486 \tabularnewline
287 & 70.07 & 81.882723116852 & -11.8127231168521 \tabularnewline
288 & 68.55 & 81.0382824462481 & -12.4882824462481 \tabularnewline
289 & 65.3 & 81.3651627058367 & -16.0651627058367 \tabularnewline
290 & 58.96 & 81.17448255441 & -22.21448255441 \tabularnewline
291 & 59.17 & 80.8476022948214 & -21.6776022948214 \tabularnewline
292 & 62.37 & 78.7501206291276 & -16.3801206291276 \tabularnewline
293 & 66.28 & 77.9056799585236 & -11.6256799585236 \tabularnewline
294 & 55.62 & 79.5128412348344 & -23.8928412348344 \tabularnewline
295 & 55.23 & 77.9056799585236 & -22.6756799585236 \tabularnewline
296 & 55.85 & 76.5164388552719 & -20.6664388552719 \tabularnewline
297 & 56.75 & 75.9443984009918 & -19.1943984009918 \tabularnewline
298 & 50.89 & 75.6719981846679 & -24.7819981846679 \tabularnewline
299 & 53.88 & 74.9365176005935 & -21.0565176005935 \tabularnewline
300 & 52.95 & 72.8935159781645 & -19.9435159781645 \tabularnewline
301 & 55.08 & 73.5200364757094 & -18.4400364757094 \tabularnewline
302 & 53.61 & 73.7924366920333 & -20.1824366920333 \tabularnewline
303 & 58.78 & 71.4225548100156 & -12.6425548100156 \tabularnewline
304 & 61.85 & 74.6096373410049 & -12.7596373410048 \tabularnewline
305 & 55.91 & 75.5630380981384 & -19.6530380981384 \tabularnewline
306 & 53.32 & 73.5745165189742 & -20.2545165189742 \tabularnewline
307 & 46.41 & 74.6368773626372 & -28.2268773626372 \tabularnewline
308 & 44.57 & 73.3293563242827 & -28.7593563242827 \tabularnewline
309 & 50 & 73.1114361512236 & -23.1114361512236 \tabularnewline
310 & 50 & 71.7766750912367 & -21.7766750912366 \tabularnewline
311 & 53.36 & 72.0490753075605 & -18.6890753075605 \tabularnewline
312 & 46.23 & 70.8505143557355 & -24.6205143557355 \tabularnewline
313 & 50.45 & 75.2361578385497 & -24.7861578385497 \tabularnewline
314 & 49.07 & 73.1931562161207 & -24.1231562161207 \tabularnewline
315 & 45.85 & 73.4383164108122 & -27.5883164108122 \tabularnewline
316 & 48.45 & 75.4813180332412 & -27.0313180332412 \tabularnewline
317 & 49.96 & 73.5472764973418 & -23.5872764973418 \tabularnewline
318 & 46.53 & 73.3838363675475 & -26.8538363675475 \tabularnewline
319 & 50.51 & 73.7379566487685 & -23.2279566487685 \tabularnewline
320 & 47.58 & 73.1114361512236 & -25.5314361512236 \tabularnewline
321 & 48.05 & 73.0569561079588 & -25.0069561079588 \tabularnewline
322 & 46.84 & 70.4963940745145 & -23.6563940745145 \tabularnewline
323 & 47.67 & 69.2433530794247 & -21.5733530794247 \tabularnewline
324 & 49.16 & 71.8583951561338 & -22.6983951561338 \tabularnewline
325 & 55.54 & 72.3214755238844 & -16.7814755238844 \tabularnewline
326 & 55.82 & 71.3408347451185 & -15.5208347451185 \tabularnewline
327 & 58.22 & 73.4110763891798 & -15.1910763891798 \tabularnewline
328 & 56.19 & 72.7573158700026 & -16.5673158700026 \tabularnewline
329 & 57.77 & 70.6598342043088 & -12.8898342043088 \tabularnewline
330 & 63.19 & 68.4533924520855 & -5.26339245208549 \tabularnewline
331 & 54.76 & 71.940115221031 & -17.180115221031 \tabularnewline
332 & 55.74 & 71.940115221031 & -16.200115221031 \tabularnewline
333 & 62.54 & 71.8311551345014 & -9.29115513450141 \tabularnewline
334 & 61.39 & 70.9049943990003 & -9.51499439900028 \tabularnewline
335 & 69.6 & 69.2161130577923 & 0.383886942207677 \tabularnewline
336 & 79.23 & 69.1616330145276 & 10.0683669854725 \tabularnewline
337 & 80 & 76.5981589201691 & 3.40184107983094 \tabularnewline
338 & 93.68 & 73.6289965622389 & 20.0510034377611 \tabularnewline
339 & 107.63 & 75.5085580548736 & 32.1214419451264 \tabularnewline
340 & 100.18 & 81.8010030519549 & 18.3789969480451 \tabularnewline
341 & 97.3 & 84.2253649772373 & 13.0746350227627 \tabularnewline
342 & 90.45 & 86.5952468592549 & 3.85475314074508 \tabularnewline
343 & 80.64 & 84.3615650853992 & -3.72156508539922 \tabularnewline
344 & 80.58 & 88.3930882869924 & -7.81308828699243 \tabularnewline
345 & 75.82 & 87.4396875298589 & -11.6196875298589 \tabularnewline
346 & 85.59 & 87.4396875298589 & -1.84968752985889 \tabularnewline
347 & 89.35 & 83.2447241984714 & 6.10527580152862 \tabularnewline
348 & 89.42 & 81.6648029437929 & 7.75519705620705 \tabularnewline
349 & 104.73 & 81.5830828788958 & 23.1469171211042 \tabularnewline
350 & 95.32 & 80.0031616242174 & 15.3168383757826 \tabularnewline
351 & 89.27 & 83.4626443715305 & 5.80735562846952 \tabularnewline
352 & 90.44 & 83.217484176839 & 7.22251582316101 \tabularnewline
353 & 86.97 & 84.770165409885 & 2.19983459011498 \tabularnewline
354 & 79.98 & 79.5673212780992 & 0.412678721900807 \tabularnewline
355 & 81.22 & 79.4583611915696 & 1.76163880843036 \tabularnewline
356 & 87.35 & 80.6024421001299 & 6.74755789987011 \tabularnewline
357 & 83.64 & 79.975921602585 & 3.66407839741501 \tabularnewline
358 & 82.22 & 79.0225208454515 & 3.19747915454853 \tabularnewline
359 & 94.4 & 79.5673212780992 & 14.8326787219008 \tabularnewline
360 & 102.18 & 78.3415203046418 & 23.8384796953582 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=147097&T=4

[TABLE]
[ROW][C]Multiple Linear Regression - Actuals, Interpolation, and Residuals[/C][/ROW]
[ROW][C]Time or Index[/C][C]Actuals[/C][C]InterpolationForecast[/C][C]ResidualsPrediction Error[/C][/ROW]
[ROW][C]1[/C][C]87.28[/C][C]63.0053881256081[/C][C]24.2746118743919[/C][/ROW]
[ROW][C]2[/C][C]87.28[/C][C]69.8698735769696[/C][C]17.4101264230304[/C][/ROW]
[ROW][C]3[/C][C]87.09[/C][C]75.2361578385497[/C][C]11.8538421614503[/C][/ROW]
[ROW][C]4[/C][C]86.92[/C][C]85.9414863400776[/C][C]0.978513659922365[/C][/ROW]
[ROW][C]5[/C][C]87.59[/C][C]95.4754939114129[/C][C]-7.88549391141292[/C][/ROW]
[ROW][C]6[/C][C]90.72[/C][C]100.732818086464[/C][C]-10.0128180864635[/C][/ROW]
[ROW][C]7[/C][C]90.69[/C][C]99.5614971562709[/C][C]-8.8714971562709[/C][/ROW]
[ROW][C]8[/C][C]90.3[/C][C]97.5184955338419[/C][C]-7.21849553384191[/C][/ROW]
[ROW][C]9[/C][C]89.55[/C][C]95.7478941277368[/C][C]-6.19789412773679[/C][/ROW]
[ROW][C]10[/C][C]88.94[/C][C]94.0590127865288[/C][C]-5.11901278652883[/C][/ROW]
[ROW][C]11[/C][C]88.41[/C][C]90.899170277172[/C][C]-2.48917027717199[/C][/ROW]
[ROW][C]12[/C][C]87.82[/C][C]89.4554491306555[/C][C]-1.63544913065552[/C][/ROW]
[ROW][C]13[/C][C]87.07[/C][C]87.9300079192419[/C][C]-0.860007919241864[/C][/ROW]
[ROW][C]14[/C][C]86.82[/C][C]86.9493671404759[/C][C]-0.129367140475942[/C][/ROW]
[ROW][C]15[/C][C]86.4[/C][C]86.2411265780339[/C][C]0.15887342196611[/C][/ROW]
[ROW][C]16[/C][C]86.02[/C][C]82.9723239821475[/C][C]3.04767601785248[/C][/ROW]
[ROW][C]17[/C][C]85.66[/C][C]81.5013628139986[/C][C]4.15863718600137[/C][/ROW]
[ROW][C]18[/C][C]85.32[/C][C]79.1587209536134[/C][C]6.16127904638659[/C][/ROW]
[ROW][C]19[/C][C]85[/C][C]77.6877597854645[/C][C]7.31224021453548[/C][/ROW]
[ROW][C]20[/C][C]84.67[/C][C]73.6289965622389[/C][C]11.0410034377611[/C][/ROW]
[ROW][C]21[/C][C]83.94[/C][C]71.3408347451185[/C][C]12.5991652548815[/C][/ROW]
[ROW][C]22[/C][C]82.83[/C][C]70.1422737932935[/C][C]12.6877262067065[/C][/ROW]
[ROW][C]23[/C][C]81.95[/C][C]69.897113598602[/C][C]12.052886401398[/C][/ROW]
[ROW][C]24[/C][C]81.19[/C][C]69.4885132741162[/C][C]11.7014867258838[/C][/ROW]
[ROW][C]25[/C][C]80.48[/C][C]68.3171923439236[/C][C]12.1628076560764[/C][/ROW]
[ROW][C]26[/C][C]78.86[/C][C]67.2003514569957[/C][C]11.6596485430043[/C][/ROW]
[ROW][C]27[/C][C]69.47[/C][C]65.2935499427286[/C][C]4.17645005727135[/C][/ROW]
[ROW][C]28[/C][C]68.77[/C][C]64.3401491855951[/C][C]4.42985081440488[/C][/ROW]
[ROW][C]29[/C][C]70.06[/C][C]63.8225887745798[/C][C]6.23741122542022[/C][/ROW]
[ROW][C]30[/C][C]73.95[/C][C]65.1028697913019[/C][C]8.84713020869806[/C][/ROW]
[ROW][C]31[/C][C]75.8[/C][C]71.095674550427[/C][C]4.70432544957302[/C][/ROW]
[ROW][C]32[/C][C]77.79[/C][C]78.3415203046418[/C][C]-0.551520304641797[/C][/ROW]
[ROW][C]33[/C][C]81.57[/C][C]81.2834426409396[/C][C]0.286557359060442[/C][/ROW]
[ROW][C]34[/C][C]83.07[/C][C]82.6182037009265[/C][C]0.451796299073509[/C][/ROW]
[ROW][C]35[/C][C]84.34[/C][C]83.7895246311191[/C][C]0.550475368880895[/C][/ROW]
[ROW][C]36[/C][C]85.1[/C][C]84.3343250637668[/C][C]0.765674936233156[/C][/ROW]
[ROW][C]37[/C][C]85.25[/C][C]81.0927624895128[/C][C]4.15723751048717[/C][/ROW]
[ROW][C]38[/C][C]84.26[/C][C]82.6182037009265[/C][C]1.64179629907352[/C][/ROW]
[ROW][C]39[/C][C]83.63[/C][C]80.7114021866594[/C][C]2.91859781334057[/C][/ROW]
[ROW][C]40[/C][C]86.44[/C][C]79.2676810401429[/C][C]7.17231895985706[/C][/ROW]
[ROW][C]41[/C][C]85.3[/C][C]79.8124814727907[/C][C]5.48751852720933[/C][/ROW]
[ROW][C]42[/C][C]84.1[/C][C]79.1859609752458[/C][C]4.91403902475422[/C][/ROW]
[ROW][C]43[/C][C]83.36[/C][C]81.0655224678805[/C][C]2.29447753211954[/C][/ROW]
[ROW][C]44[/C][C]82.48[/C][C]80.2210817972765[/C][C]2.25891820272354[/C][/ROW]
[ROW][C]45[/C][C]81.58[/C][C]77.2246794177139[/C][C]4.35532058228605[/C][/ROW]
[ROW][C]46[/C][C]80.47[/C][C]75.6175181414032[/C][C]4.85248185859685[/C][/ROW]
[ROW][C]47[/C][C]79.34[/C][C]71.8583951561338[/C][C]7.4816048438662[/C][/ROW]
[ROW][C]48[/C][C]82.13[/C][C]69.1888730361599[/C][C]12.9411269638401[/C][/ROW]
[ROW][C]49[/C][C]81.69[/C][C]68.2899523222912[/C][C]13.4000476777088[/C][/ROW]
[ROW][C]50[/C][C]80.7[/C][C]64.0405089476389[/C][C]16.6594910523611[/C][/ROW]
[ROW][C]51[/C][C]79.88[/C][C]62.5423077578576[/C][C]17.3376922421424[/C][/ROW]
[ROW][C]52[/C][C]79.16[/C][C]61.9157872603127[/C][C]17.2442127396873[/C][/ROW]
[ROW][C]53[/C][C]78.38[/C][C]61.2075466978707[/C][C]17.1724533021293[/C][/ROW]
[ROW][C]54[/C][C]77.42[/C][C]61.5071869358269[/C][C]15.9128130641731[/C][/ROW]
[ROW][C]55[/C][C]76.47[/C][C]60.5810262003258[/C][C]15.8889737996742[/C][/ROW]
[ROW][C]56[/C][C]75.46[/C][C]60.1451858542076[/C][C]15.3148141457924[/C][/ROW]
[ROW][C]57[/C][C]74.48[/C][C]59.9000256595161[/C][C]14.5799743404839[/C][/ROW]
[ROW][C]58[/C][C]78.27[/C][C]60.0089857460457[/C][C]18.2610142539543[/C][/ROW]
[ROW][C]59[/C][C]80.7[/C][C]59.1373050538093[/C][C]21.5626949461907[/C][/ROW]
[ROW][C]60[/C][C]79.91[/C][C]61.5889070007241[/C][C]18.3210929992759[/C][/ROW]
[ROW][C]61[/C][C]78.75[/C][C]61.0985866113411[/C][C]17.6514133886589[/C][/ROW]
[ROW][C]62[/C][C]77.78[/C][C]64.2039490774332[/C][C]13.5760509225668[/C][/ROW]
[ROW][C]63[/C][C]81.14[/C][C]64.5035893153894[/C][C]16.6364106846106[/C][/ROW]
[ROW][C]64[/C][C]81.08[/C][C]64.5853093802866[/C][C]16.4946906197134[/C][/ROW]
[ROW][C]65[/C][C]80.03[/C][C]64.7215094884485[/C][C]15.3084905115515[/C][/ROW]
[ROW][C]66[/C][C]78.91[/C][C]64.2311890990656[/C][C]14.6788109009344[/C][/ROW]
[ROW][C]67[/C][C]78.01[/C][C]63.4412284717264[/C][C]14.5687715282736[/C][/ROW]
[ROW][C]68[/C][C]76.9[/C][C]63.7953487529474[/C][C]13.1046512470526[/C][/ROW]
[ROW][C]69[/C][C]75.97[/C][C]63.413988450094[/C][C]12.556011549906[/C][/ROW]
[ROW][C]70[/C][C]81.93[/C][C]62.7874679525491[/C][C]19.1425320474509[/C][/ROW]
[ROW][C]71[/C][C]80.27[/C][C]62.5423077578576[/C][C]17.7276922421424[/C][/ROW]
[ROW][C]72[/C][C]78.67[/C][C]62.6785078660196[/C][C]15.9914921339805[/C][/ROW]
[ROW][C]73[/C][C]77.42[/C][C]63.1415882337701[/C][C]14.2784117662299[/C][/ROW]
[ROW][C]74[/C][C]76.16[/C][C]63.5774285798883[/C][C]12.5825714201117[/C][/ROW]
[ROW][C]75[/C][C]74.7[/C][C]63.6319086231531[/C][C]11.0680913768469[/C][/ROW]
[ROW][C]76[/C][C]76.39[/C][C]62.5150677362252[/C][C]13.8749322637748[/C][/ROW]
[ROW][C]77[/C][C]76.04[/C][C]62.4061076496957[/C][C]13.6338923503043[/C][/ROW]
[ROW][C]78[/C][C]74.65[/C][C]62.1881874766366[/C][C]12.4618125233634[/C][/ROW]
[ROW][C]79[/C][C]73.29[/C][C]61.8340671954156[/C][C]11.4559328045844[/C][/ROW]
[ROW][C]80[/C][C]71.79[/C][C]62.2426675199014[/C][C]9.54733248009865[/C][/ROW]
[ROW][C]81[/C][C]74.39[/C][C]61.6433870439889[/C][C]12.7466129560111[/C][/ROW]
[ROW][C]82[/C][C]74.91[/C][C]61.9157872603127[/C][C]12.9942127396873[/C][/ROW]
[ROW][C]83[/C][C]74.54[/C][C]62.56954777949[/C][C]11.97045222051[/C][/ROW]
[ROW][C]84[/C][C]73.08[/C][C]61.9702673035775[/C][C]11.1097326964225[/C][/ROW]
[ROW][C]85[/C][C]72.75[/C][C]63.1688282554025[/C][C]9.5811717445975[/C][/ROW]
[ROW][C]86[/C][C]71.32[/C][C]64.6670294451838[/C][C]6.65297055481622[/C][/ROW]
[ROW][C]87[/C][C]70.38[/C][C]64.0677489692712[/C][C]6.31225103072874[/C][/ROW]
[ROW][C]88[/C][C]70.35[/C][C]64.3401491855951[/C][C]6.00985081440487[/C][/ROW]
[ROW][C]89[/C][C]70.01[/C][C]64.6942694668162[/C][C]5.31573053318386[/C][/ROW]
[ROW][C]90[/C][C]69.36[/C][C]65.6476702239497[/C][C]3.71232977605032[/C][/ROW]
[ROW][C]91[/C][C]67.77[/C][C]66.301430743127[/C][C]1.46856925687304[/C][/ROW]
[ROW][C]92[/C][C]69.26[/C][C]66.1107505917002[/C][C]3.14924940829976[/C][/ROW]
[ROW][C]93[/C][C]69.8[/C][C]66.4648708729213[/C][C]3.33512912707873[/C][/ROW]
[ROW][C]94[/C][C]68.38[/C][C]66.7100310676128[/C][C]1.66996893238724[/C][/ROW]
[ROW][C]95[/C][C]67.62[/C][C]66.4103908296565[/C][C]1.2096091703435[/C][/ROW]
[ROW][C]96[/C][C]68.39[/C][C]66.6827910459804[/C][C]1.70720895401963[/C][/ROW]
[ROW][C]97[/C][C]66.95[/C][C]66.6827910459804[/C][C]0.267208954019636[/C][/ROW]
[ROW][C]98[/C][C]65.21[/C][C]67.2275914786281[/C][C]-2.0175914786281[/C][/ROW]
[ROW][C]99[/C][C]66.64[/C][C]67.3365515651576[/C][C]-0.696551565157637[/C][/ROW]
[ROW][C]100[/C][C]63.45[/C][C]67.1186313920986[/C][C]-3.66863139209855[/C][/ROW]
[ROW][C]101[/C][C]60.66[/C][C]66.9007112190395[/C][C]-6.24071121903947[/C][/ROW]
[ROW][C]102[/C][C]62.34[/C][C]67.0369113272014[/C][C]-4.69691132720139[/C][/ROW]
[ROW][C]103[/C][C]60.32[/C][C]67.1186313920986[/C][C]-6.79863139209856[/C][/ROW]
[ROW][C]104[/C][C]58.64[/C][C]65.7021502672144[/C][C]-7.06215026721444[/C][/ROW]
[ROW][C]105[/C][C]60.46[/C][C]65.3752700076258[/C][C]-4.91527000762581[/C][/ROW]
[ROW][C]106[/C][C]58.59[/C][C]65.6749102455821[/C][C]-7.08491024558206[/C][/ROW]
[ROW][C]107[/C][C]61.87[/C][C]65.3752700076258[/C][C]-3.50527000762581[/C][/ROW]
[ROW][C]108[/C][C]61.85[/C][C]63.2505483202997[/C][C]-1.40054832029966[/C][/ROW]
[ROW][C]109[/C][C]67.44[/C][C]68.7802727116741[/C][C]-1.34027271167413[/C][/ROW]
[ROW][C]110[/C][C]77.06[/C][C]91.6346508612464[/C][C]-14.5746508612464[/C][/ROW]
[ROW][C]111[/C][C]91.74[/C][C]97.1916152742533[/C][C]-5.45161527425328[/C][/ROW]
[ROW][C]112[/C][C]93.15[/C][C]95.339293803251[/C][C]-2.18929380325098[/C][/ROW]
[ROW][C]113[/C][C]94.15[/C][C]94.2769329595879[/C][C]-0.126932959587912[/C][/ROW]
[ROW][C]114[/C][C]93.11[/C][C]93.4052522673516[/C][C]-0.295252267351557[/C][/ROW]
[ROW][C]115[/C][C]91.51[/C][C]91.4167306881873[/C][C]0.0932693118126701[/C][/ROW]
[ROW][C]116[/C][C]89.96[/C][C]87.7393277678152[/C][C]2.22067223218484[/C][/ROW]
[ROW][C]117[/C][C]88.16[/C][C]82.4002835278674[/C][C]5.75971647213261[/C][/ROW]
[ROW][C]118[/C][C]86.98[/C][C]81.9372031601168[/C][C]5.04279683988318[/C][/ROW]
[ROW][C]119[/C][C]88.03[/C][C]82.9178439388827[/C][C]5.11215606111726[/C][/ROW]
[ROW][C]120[/C][C]86.24[/C][C]82.7544038090884[/C][C]3.48559619091158[/C][/ROW]
[ROW][C]121[/C][C]84.65[/C][C]81.9099631384844[/C][C]2.74003686151558[/C][/ROW]
[ROW][C]122[/C][C]83.23[/C][C]79.7580014295259[/C][C]3.4719985704741[/C][/ROW]
[ROW][C]123[/C][C]81.7[/C][C]78.2325602181122[/C][C]3.46743978188776[/C][/ROW]
[ROW][C]124[/C][C]80.25[/C][C]75.6719981846679[/C][C]4.57800181533208[/C][/ROW]
[ROW][C]125[/C][C]78.8[/C][C]73.002476064694[/C][C]5.79752393530596[/C][/ROW]
[ROW][C]126[/C][C]77.51[/C][C]72.648355783473[/C][C]4.861644216527[/C][/ROW]
[ROW][C]127[/C][C]76.2[/C][C]71.8311551345014[/C][C]4.36884486549859[/C][/ROW]
[ROW][C]128[/C][C]75.04[/C][C]69.1888730361599[/C][C]5.85112696384008[/C][/ROW]
[ROW][C]129[/C][C]74[/C][C]70.251233879823[/C][C]3.74876612017699[/C][/ROW]
[ROW][C]130[/C][C]75.49[/C][C]71.9945952642957[/C][C]3.49540473570426[/C][/ROW]
[ROW][C]131[/C][C]77.14[/C][C]68.7257926684094[/C][C]8.41420733159064[/C][/ROW]
[ROW][C]132[/C][C]76.15[/C][C]67.8813519978054[/C][C]8.26864800219464[/C][/ROW]
[ROW][C]133[/C][C]76.27[/C][C]70.6325941826764[/C][C]5.63740581732358[/C][/ROW]
[ROW][C]134[/C][C]78.19[/C][C]70.7143142475736[/C][C]7.47568575242642[/C][/ROW]
[ROW][C]135[/C][C]76.49[/C][C]68.9437128414685[/C][C]7.54628715853154[/C][/ROW]
[ROW][C]136[/C][C]77.31[/C][C]71.0411945071622[/C][C]6.26880549283779[/C][/ROW]
[ROW][C]137[/C][C]76.65[/C][C]70.5508741177792[/C][C]6.09912588222076[/C][/ROW]
[ROW][C]138[/C][C]74.99[/C][C]70.1422737932935[/C][C]4.84772620670654[/C][/ROW]
[ROW][C]139[/C][C]73.51[/C][C]71.8311551345014[/C][C]1.67884486549859[/C][/ROW]
[ROW][C]140[/C][C]72.07[/C][C]70.6598342043088[/C][C]1.41016579569119[/C][/ROW]
[ROW][C]141[/C][C]70.59[/C][C]70.9049943990003[/C][C]-0.314994399000274[/C][/ROW]
[ROW][C]142[/C][C]71.96[/C][C]71.3135947234861[/C][C]0.646405276513918[/C][/ROW]
[ROW][C]143[/C][C]76.29[/C][C]72.3214755238844[/C][C]3.96852447611563[/C][/ROW]
[ROW][C]144[/C][C]74.86[/C][C]73.2203962377531[/C][C]1.63960376224687[/C][/ROW]
[ROW][C]145[/C][C]74.93[/C][C]74.2827570814162[/C][C]0.647242918583805[/C][/ROW]
[ROW][C]146[/C][C]71.9[/C][C]76.6798789850662[/C][C]-4.77987898506621[/C][/ROW]
[ROW][C]147[/C][C]71.01[/C][C]76.3257587038452[/C][C]-5.31575870384519[/C][/ROW]
[ROW][C]148[/C][C]77.47[/C][C]78.3960003479066[/C][C]-0.926000347906574[/C][/ROW]
[ROW][C]149[/C][C]75.78[/C][C]79.7035213862611[/C][C]-3.92352138626113[/C][/ROW]
[ROW][C]150[/C][C]76.6[/C][C]79.8124814727907[/C][C]-3.21248147279067[/C][/ROW]
[ROW][C]151[/C][C]76.07[/C][C]81.3924027274691[/C][C]-5.3224027274691[/C][/ROW]
[ROW][C]152[/C][C]74.57[/C][C]79.9214415593202[/C][C]-5.35144155932023[/C][/ROW]
[ROW][C]153[/C][C]73.02[/C][C]77.932919980156[/C][C]-4.91291998015601[/C][/ROW]
[ROW][C]154[/C][C]72.65[/C][C]76.2985186822128[/C][C]-3.64851868221281[/C][/ROW]
[ROW][C]155[/C][C]73.16[/C][C]72.6211157618406[/C][C]0.538884238159364[/C][/ROW]
[ROW][C]156[/C][C]71.53[/C][C]73.5472764973418[/C][C]-2.01727649734177[/C][/ROW]
[ROW][C]157[/C][C]69.78[/C][C]73.002476064694[/C][C]-3.22247606469404[/C][/ROW]
[ROW][C]158[/C][C]67.98[/C][C]74.3099971030486[/C][C]-6.32999710304859[/C][/ROW]
[ROW][C]159[/C][C]69.96[/C][C]72.294235502252[/C][C]-2.334235502252[/C][/ROW]
[ROW][C]160[/C][C]72.16[/C][C]72.1307953724577[/C][C]0.0292046275423244[/C][/ROW]
[ROW][C]161[/C][C]70.47[/C][C]73.5745165189742[/C][C]-3.10451651897416[/C][/ROW]
[ROW][C]162[/C][C]68.86[/C][C]74.6368773626372[/C][C]-5.77687736263723[/C][/ROW]
[ROW][C]163[/C][C]67.37[/C][C]76.734359028331[/C][C]-9.36435902833098[/C][/ROW]
[ROW][C]164[/C][C]65.87[/C][C]75.9988784442565[/C][C]-10.1288784442566[/C][/ROW]
[ROW][C]165[/C][C]72.16[/C][C]75.9443984009918[/C][C]-3.78439840099179[/C][/ROW]
[ROW][C]166[/C][C]71.34[/C][C]76.0805985091537[/C][C]-4.74059850915372[/C][/ROW]
[ROW][C]167[/C][C]69.93[/C][C]73.7651966704009[/C][C]-3.83519667040086[/C][/ROW]
[ROW][C]168[/C][C]68.44[/C][C]73.6562365838713[/C][C]-5.21623658387133[/C][/ROW]
[ROW][C]169[/C][C]67.16[/C][C]73.7651966704009[/C][C]-6.60519667040087[/C][/ROW]
[ROW][C]170[/C][C]66.01[/C][C]74.4734372328429[/C][C]-8.46343723284291[/C][/ROW]
[ROW][C]171[/C][C]67.25[/C][C]72.3759555671491[/C][C]-5.12595556714914[/C][/ROW]
[ROW][C]172[/C][C]70.91[/C][C]73.1931562161207[/C][C]-2.28315621612074[/C][/ROW]
[ROW][C]173[/C][C]69.75[/C][C]71.9673552426633[/C][C]-2.21735524266335[/C][/ROW]
[ROW][C]174[/C][C]68.59[/C][C]71.6132349614423[/C][C]-3.02323496144233[/C][/ROW]
[ROW][C]175[/C][C]67.48[/C][C]69.9515936418668[/C][C]-2.47159364186675[/C][/ROW]
[ROW][C]176[/C][C]66.31[/C][C]67.7451518896434[/C][C]-1.43515188964343[/C][/ROW]
[ROW][C]177[/C][C]64.81[/C][C]66.8734711974071[/C][C]-2.06347119740707[/C][/ROW]
[ROW][C]178[/C][C]66.58[/C][C]67.2548315002605[/C][C]-0.674831500260491[/C][/ROW]
[ROW][C]179[/C][C]65.97[/C][C]66.3559107863917[/C][C]-0.385910786391732[/C][/ROW]
[ROW][C]180[/C][C]64.7[/C][C]65.0483897480372[/C][C]-0.348389748037172[/C][/ROW]
[ROW][C]181[/C][C]64.7[/C][C]66.2197106782298[/C][C]-1.5197106782298[/C][/ROW]
[ROW][C]182[/C][C]60.94[/C][C]66.7645111108775[/C][C]-5.82451111087753[/C][/ROW]
[ROW][C]183[/C][C]59.08[/C][C]65.2118298778315[/C][C]-6.1318298778315[/C][/ROW]
[ROW][C]184[/C][C]58.42[/C][C]64.6942694668162[/C][C]-6.27426946681615[/C][/ROW]
[ROW][C]185[/C][C]57.77[/C][C]66.0017905051707[/C][C]-8.2317905051707[/C][/ROW]
[ROW][C]186[/C][C]57.11[/C][C]65.0483897480372[/C][C]-7.93838974803718[/C][/ROW]
[ROW][C]187[/C][C]53.31[/C][C]65.7838703321116[/C][C]-12.4738703321116[/C][/ROW]
[ROW][C]188[/C][C]49.96[/C][C]64.7215094884485[/C][C]-14.7615094884485[/C][/ROW]
[ROW][C]189[/C][C]49.4[/C][C]62.6512678443872[/C][C]-13.2512678443872[/C][/ROW]
[ROW][C]190[/C][C]48.84[/C][C]61.4254668709298[/C][C]-12.5854668709298[/C][/ROW]
[ROW][C]191[/C][C]48.3[/C][C]58.6742246860587[/C][C]-10.3742246860587[/C][/ROW]
[ROW][C]192[/C][C]47.74[/C][C]57.9387441019843[/C][C]-10.1987441019843[/C][/ROW]
[ROW][C]193[/C][C]47.24[/C][C]57.6118638423956[/C][C]-10.3718638423956[/C][/ROW]
[ROW][C]194[/C][C]46.76[/C][C]60.3358660056343[/C][C]-13.5758660056343[/C][/ROW]
[ROW][C]195[/C][C]46.29[/C][C]60.6082662219582[/C][C]-14.3182662219582[/C][/ROW]
[ROW][C]196[/C][C]48.9[/C][C]61.016866546444[/C][C]-12.116866546444[/C][/ROW]
[ROW][C]197[/C][C]49.23[/C][C]62.0247473468423[/C][C]-12.7947473468423[/C][/ROW]
[ROW][C]198[/C][C]48.53[/C][C]62.5423077578576[/C][C]-14.0123077578576[/C][/ROW]
[ROW][C]199[/C][C]48.03[/C][C]62.9509080823434[/C][C]-14.9209080823434[/C][/ROW]
[ROW][C]200[/C][C]54.34[/C][C]61.6433870439889[/C][C]-7.30338704398886[/C][/ROW]
[ROW][C]201[/C][C]53.79[/C][C]61.4527068925622[/C][C]-7.66270689256216[/C][/ROW]
[ROW][C]202[/C][C]53.24[/C][C]59.327985205236[/C][C]-6.087985205236[/C][/ROW]
[ROW][C]203[/C][C]52.96[/C][C]59.818305594619[/C][C]-6.85830559461897[/C][/ROW]
[ROW][C]204[/C][C]52.17[/C][C]61.0985866113411[/C][C]-8.92858661134112[/C][/ROW]
[ROW][C]205[/C][C]51.7[/C][C]62.4605876929605[/C][C]-10.7605876929605[/C][/ROW]
[ROW][C]206[/C][C]58.55[/C][C]62.4333476713281[/C][C]-3.88334767132807[/C][/ROW]
[ROW][C]207[/C][C]78.2[/C][C]62.0519873684747[/C][C]16.1480126315253[/C][/ROW]
[ROW][C]208[/C][C]77.03[/C][C]62.079227390107[/C][C]14.950772609893[/C][/ROW]
[ROW][C]209[/C][C]76.19[/C][C]62.5967878011224[/C][C]13.5932121988776[/C][/ROW]
[ROW][C]210[/C][C]77.15[/C][C]64.3129091639627[/C][C]12.8370908360373[/C][/ROW]
[ROW][C]211[/C][C]75.87[/C][C]84.5522452368259[/C][C]-8.68224523682593[/C][/ROW]
[ROW][C]212[/C][C]95.47[/C][C]115.578629876114[/C][C]-20.1086298761142[/C][/ROW]
[ROW][C]213[/C][C]109.67[/C][C]114.979349400202[/C][C]-5.30934940020168[/C][/ROW]
[ROW][C]214[/C][C]112.28[/C][C]114.761429227143[/C][C]-2.48142922714259[/C][/ROW]
[ROW][C]215[/C][C]112.01[/C][C]115.633109919379[/C][C]-3.62310991937895[/C][/ROW]
[ROW][C]216[/C][C]107.93[/C][C]112.90910775614[/C][C]-4.97910775614029[/C][/ROW]
[ROW][C]217[/C][C]105.96[/C][C]113.344948102258[/C][C]-7.38494810225849[/C][/ROW]
[ROW][C]218[/C][C]105.06[/C][C]108.877584554547[/C][C]-3.81758455454708[/C][/ROW]
[ROW][C]219[/C][C]102.98[/C][C]105.445341828866[/C][C]-2.46534182886639[/C][/ROW]
[ROW][C]220[/C][C]102.2[/C][C]104.791581309689[/C][C]-2.59158130968911[/C][/ROW]
[ROW][C]221[/C][C]105.23[/C][C]104.328500941939[/C][C]0.901499058061462[/C][/ROW]
[ROW][C]222[/C][C]101.85[/C][C]104.110580768879[/C][C]-2.26058076887945[/C][/ROW]
[ROW][C]223[/C][C]99.89[/C][C]103.238900076643[/C][C]-3.34890007664308[/C][/ROW]
[ROW][C]224[/C][C]96.23[/C][C]103.89266059582[/C][C]-7.66266059582036[/C][/ROW]
[ROW][C]225[/C][C]94.76[/C][C]102.394459406039[/C][C]-7.6344594060391[/C][/ROW]
[ROW][C]226[/C][C]91.51[/C][C]98.8260165721965[/C][C]-7.31601657219646[/C][/ROW]
[ROW][C]227[/C][C]91.63[/C][C]97.4367754689447[/C][C]-5.80677546894475[/C][/ROW]
[ROW][C]228[/C][C]91.54[/C][C]95.7478941277368[/C][C]-4.20789412773678[/C][/ROW]
[ROW][C]229[/C][C]85.23[/C][C]90.9808903420691[/C][C]-5.75089034206914[/C][/ROW]
[ROW][C]230[/C][C]87.83[/C][C]91.3350106232902[/C][C]-3.50501062329017[/C][/ROW]
[ROW][C]231[/C][C]87.38[/C][C]90.2454097579947[/C][C]-2.86540975799472[/C][/ROW]
[ROW][C]232[/C][C]84.44[/C][C]89.6188892604498[/C][C]-5.17888926044982[/C][/ROW]
[ROW][C]233[/C][C]85.19[/C][C]87.3579674649617[/C][C]-2.16796746496173[/C][/ROW]
[ROW][C]234[/C][C]84.03[/C][C]87.1945273351674[/C][C]-3.16452733516742[/C][/ROW]
[ROW][C]235[/C][C]86.73[/C][C]85.614606080489[/C][C]1.115393919511[/C][/ROW]
[ROW][C]236[/C][C]102.52[/C][C]85.8870062968129[/C][C]16.6329937031871[/C][/ROW]
[ROW][C]237[/C][C]104.45[/C][C]84.3343250637668[/C][C]20.1156749362332[/C][/ROW]
[ROW][C]238[/C][C]106.98[/C][C]84.6339653017231[/C][C]22.3460346982769[/C][/ROW]
[ROW][C]239[/C][C]107.02[/C][C]82.9723239821475[/C][C]24.0476760178525[/C][/ROW]
[ROW][C]240[/C][C]99.26[/C][C]83.6260845013248[/C][C]15.6339154986752[/C][/ROW]
[ROW][C]241[/C][C]94.45[/C][C]83.4354043498981[/C][C]11.0145956501019[/C][/ROW]
[ROW][C]242[/C][C]113.44[/C][C]83.8712446960163[/C][C]29.5687553039837[/C][/ROW]
[ROW][C]243[/C][C]157.33[/C][C]89.210288935964[/C][C]68.119711064036[/C][/ROW]
[ROW][C]244[/C][C]147.38[/C][C]99.6159771995357[/C][C]47.7640228004643[/C][/ROW]
[ROW][C]245[/C][C]171.89[/C][C]105.472581850499[/C][C]66.4174181495012[/C][/ROW]
[ROW][C]246[/C][C]171.95[/C][C]114.16214875123[/C][C]57.7878512487699[/C][/ROW]
[ROW][C]247[/C][C]132.71[/C][C]119.610153077707[/C][C]13.0998469222926[/C][/ROW]
[ROW][C]248[/C][C]126.02[/C][C]120.726993964635[/C][C]5.29300603536476[/C][/ROW]
[ROW][C]249[/C][C]121.18[/C][C]119.310512839751[/C][C]1.86948716024887[/C][/ROW]
[ROW][C]250[/C][C]115.45[/C][C]113.181507972464[/C][C]2.26849202753583[/C][/ROW]
[ROW][C]251[/C][C]110.48[/C][C]110.757146047182[/C][C]-0.277146047181768[/C][/ROW]
[ROW][C]252[/C][C]117.85[/C][C]106.889062975383[/C][C]10.9609370246171[/C][/ROW]
[ROW][C]253[/C][C]117.63[/C][C]103.184420033378[/C][C]14.4455799666217[/C][/ROW]
[ROW][C]254[/C][C]124.65[/C][C]101.767938908494[/C][C]22.8820610915058[/C][/ROW]
[ROW][C]255[/C][C]109.59[/C][C]103.402340206437[/C][C]6.1876597935626[/C][/ROW]
[ROW][C]256[/C][C]111.27[/C][C]101.386578605641[/C][C]9.8834213943592[/C][/ROW]
[ROW][C]257[/C][C]99.78[/C][C]99.1801368534175[/C][C]0.599863146582507[/C][/ROW]
[ROW][C]258[/C][C]98.21[/C][C]96.6740548632379[/C][C]1.53594513676206[/C][/ROW]
[ROW][C]259[/C][C]99.2[/C][C]96.2654545387521[/C][C]2.93454546124786[/C][/ROW]
[ROW][C]260[/C][C]97.97[/C][C]94.4403730893822[/C][C]3.52962691061777[/C][/ROW]
[ROW][C]261[/C][C]89.55[/C][C]92.1522112722618[/C][C]-2.60221127226177[/C][/ROW]
[ROW][C]262[/C][C]87.91[/C][C]88.9651287412726[/C][C]-1.05512874127255[/C][/ROW]
[ROW][C]263[/C][C]93.34[/C][C]88.3930882869924[/C][C]4.94691171300758[/C][/ROW]
[ROW][C]264[/C][C]94.42[/C][C]87.4124475082265[/C][C]7.00755249177348[/C][/ROW]
[ROW][C]265[/C][C]93.2[/C][C]87.1128072702703[/C][C]6.08719272972974[/C][/ROW]
[ROW][C]266[/C][C]90.29[/C][C]86.9221271188436[/C][C]3.36787288115645[/C][/ROW]
[ROW][C]267[/C][C]91.46[/C][C]88.2296481571981[/C][C]3.23035184280188[/C][/ROW]
[ROW][C]268[/C][C]89.98[/C][C]87.9572479408743[/C][C]2.02275205912575[/C][/ROW]
[ROW][C]269[/C][C]88.35[/C][C]88.7472085682135[/C][C]-0.397208568213458[/C][/ROW]
[ROW][C]270[/C][C]88.41[/C][C]86.7314469674169[/C][C]1.67855303258314[/C][/ROW]
[ROW][C]271[/C][C]82.44[/C][C]86.7042069457845[/C][C]-4.26420694578447[/C][/ROW]
[ROW][C]272[/C][C]79.89[/C][C]86.9221271188436[/C][C]-7.03212711884356[/C][/ROW]
[ROW][C]273[/C][C]75.69[/C][C]85.96872636171[/C][C]-10.27872636171[/C][/ROW]
[ROW][C]274[/C][C]75.66[/C][C]88.3930882869924[/C][C]-12.7330882869924[/C][/ROW]
[ROW][C]275[/C][C]84.5[/C][C]84.4432851502964[/C][C]0.0567148497036215[/C][/ROW]
[ROW][C]276[/C][C]96.73[/C][C]84.7156853666202[/C][C]12.0143146333798[/C][/ROW]
[ROW][C]277[/C][C]87.48[/C][C]89.9730095416708[/C][C]-2.49300954167084[/C][/ROW]
[ROW][C]278[/C][C]82.39[/C][C]93.7048925053078[/C][C]-11.3148925053078[/C][/ROW]
[ROW][C]279[/C][C]83.48[/C][C]92.5063315534828[/C][C]-9.02633155348279[/C][/ROW]
[ROW][C]280[/C][C]79.31[/C][C]91.1715704934958[/C][C]-11.8615704934958[/C][/ROW]
[ROW][C]281[/C][C]78.16[/C][C]89.7278493469794[/C][C]-11.5678493469794[/C][/ROW]
[ROW][C]282[/C][C]72.77[/C][C]87.0038471837407[/C][C]-14.2338471837407[/C][/ROW]
[ROW][C]283[/C][C]72.45[/C][C]87.4124475082265[/C][C]-14.9624475082265[/C][/ROW]
[ROW][C]284[/C][C]68.46[/C][C]87.3579674649617[/C][C]-18.8979674649617[/C][/ROW]
[ROW][C]285[/C][C]67.62[/C][C]84.4977651935612[/C][C]-16.8777651935611[/C][/ROW]
[ROW][C]286[/C][C]68.76[/C][C]83.8984847176486[/C][C]-15.1384847176486[/C][/ROW]
[ROW][C]287[/C][C]70.07[/C][C]81.882723116852[/C][C]-11.8127231168521[/C][/ROW]
[ROW][C]288[/C][C]68.55[/C][C]81.0382824462481[/C][C]-12.4882824462481[/C][/ROW]
[ROW][C]289[/C][C]65.3[/C][C]81.3651627058367[/C][C]-16.0651627058367[/C][/ROW]
[ROW][C]290[/C][C]58.96[/C][C]81.17448255441[/C][C]-22.21448255441[/C][/ROW]
[ROW][C]291[/C][C]59.17[/C][C]80.8476022948214[/C][C]-21.6776022948214[/C][/ROW]
[ROW][C]292[/C][C]62.37[/C][C]78.7501206291276[/C][C]-16.3801206291276[/C][/ROW]
[ROW][C]293[/C][C]66.28[/C][C]77.9056799585236[/C][C]-11.6256799585236[/C][/ROW]
[ROW][C]294[/C][C]55.62[/C][C]79.5128412348344[/C][C]-23.8928412348344[/C][/ROW]
[ROW][C]295[/C][C]55.23[/C][C]77.9056799585236[/C][C]-22.6756799585236[/C][/ROW]
[ROW][C]296[/C][C]55.85[/C][C]76.5164388552719[/C][C]-20.6664388552719[/C][/ROW]
[ROW][C]297[/C][C]56.75[/C][C]75.9443984009918[/C][C]-19.1943984009918[/C][/ROW]
[ROW][C]298[/C][C]50.89[/C][C]75.6719981846679[/C][C]-24.7819981846679[/C][/ROW]
[ROW][C]299[/C][C]53.88[/C][C]74.9365176005935[/C][C]-21.0565176005935[/C][/ROW]
[ROW][C]300[/C][C]52.95[/C][C]72.8935159781645[/C][C]-19.9435159781645[/C][/ROW]
[ROW][C]301[/C][C]55.08[/C][C]73.5200364757094[/C][C]-18.4400364757094[/C][/ROW]
[ROW][C]302[/C][C]53.61[/C][C]73.7924366920333[/C][C]-20.1824366920333[/C][/ROW]
[ROW][C]303[/C][C]58.78[/C][C]71.4225548100156[/C][C]-12.6425548100156[/C][/ROW]
[ROW][C]304[/C][C]61.85[/C][C]74.6096373410049[/C][C]-12.7596373410048[/C][/ROW]
[ROW][C]305[/C][C]55.91[/C][C]75.5630380981384[/C][C]-19.6530380981384[/C][/ROW]
[ROW][C]306[/C][C]53.32[/C][C]73.5745165189742[/C][C]-20.2545165189742[/C][/ROW]
[ROW][C]307[/C][C]46.41[/C][C]74.6368773626372[/C][C]-28.2268773626372[/C][/ROW]
[ROW][C]308[/C][C]44.57[/C][C]73.3293563242827[/C][C]-28.7593563242827[/C][/ROW]
[ROW][C]309[/C][C]50[/C][C]73.1114361512236[/C][C]-23.1114361512236[/C][/ROW]
[ROW][C]310[/C][C]50[/C][C]71.7766750912367[/C][C]-21.7766750912366[/C][/ROW]
[ROW][C]311[/C][C]53.36[/C][C]72.0490753075605[/C][C]-18.6890753075605[/C][/ROW]
[ROW][C]312[/C][C]46.23[/C][C]70.8505143557355[/C][C]-24.6205143557355[/C][/ROW]
[ROW][C]313[/C][C]50.45[/C][C]75.2361578385497[/C][C]-24.7861578385497[/C][/ROW]
[ROW][C]314[/C][C]49.07[/C][C]73.1931562161207[/C][C]-24.1231562161207[/C][/ROW]
[ROW][C]315[/C][C]45.85[/C][C]73.4383164108122[/C][C]-27.5883164108122[/C][/ROW]
[ROW][C]316[/C][C]48.45[/C][C]75.4813180332412[/C][C]-27.0313180332412[/C][/ROW]
[ROW][C]317[/C][C]49.96[/C][C]73.5472764973418[/C][C]-23.5872764973418[/C][/ROW]
[ROW][C]318[/C][C]46.53[/C][C]73.3838363675475[/C][C]-26.8538363675475[/C][/ROW]
[ROW][C]319[/C][C]50.51[/C][C]73.7379566487685[/C][C]-23.2279566487685[/C][/ROW]
[ROW][C]320[/C][C]47.58[/C][C]73.1114361512236[/C][C]-25.5314361512236[/C][/ROW]
[ROW][C]321[/C][C]48.05[/C][C]73.0569561079588[/C][C]-25.0069561079588[/C][/ROW]
[ROW][C]322[/C][C]46.84[/C][C]70.4963940745145[/C][C]-23.6563940745145[/C][/ROW]
[ROW][C]323[/C][C]47.67[/C][C]69.2433530794247[/C][C]-21.5733530794247[/C][/ROW]
[ROW][C]324[/C][C]49.16[/C][C]71.8583951561338[/C][C]-22.6983951561338[/C][/ROW]
[ROW][C]325[/C][C]55.54[/C][C]72.3214755238844[/C][C]-16.7814755238844[/C][/ROW]
[ROW][C]326[/C][C]55.82[/C][C]71.3408347451185[/C][C]-15.5208347451185[/C][/ROW]
[ROW][C]327[/C][C]58.22[/C][C]73.4110763891798[/C][C]-15.1910763891798[/C][/ROW]
[ROW][C]328[/C][C]56.19[/C][C]72.7573158700026[/C][C]-16.5673158700026[/C][/ROW]
[ROW][C]329[/C][C]57.77[/C][C]70.6598342043088[/C][C]-12.8898342043088[/C][/ROW]
[ROW][C]330[/C][C]63.19[/C][C]68.4533924520855[/C][C]-5.26339245208549[/C][/ROW]
[ROW][C]331[/C][C]54.76[/C][C]71.940115221031[/C][C]-17.180115221031[/C][/ROW]
[ROW][C]332[/C][C]55.74[/C][C]71.940115221031[/C][C]-16.200115221031[/C][/ROW]
[ROW][C]333[/C][C]62.54[/C][C]71.8311551345014[/C][C]-9.29115513450141[/C][/ROW]
[ROW][C]334[/C][C]61.39[/C][C]70.9049943990003[/C][C]-9.51499439900028[/C][/ROW]
[ROW][C]335[/C][C]69.6[/C][C]69.2161130577923[/C][C]0.383886942207677[/C][/ROW]
[ROW][C]336[/C][C]79.23[/C][C]69.1616330145276[/C][C]10.0683669854725[/C][/ROW]
[ROW][C]337[/C][C]80[/C][C]76.5981589201691[/C][C]3.40184107983094[/C][/ROW]
[ROW][C]338[/C][C]93.68[/C][C]73.6289965622389[/C][C]20.0510034377611[/C][/ROW]
[ROW][C]339[/C][C]107.63[/C][C]75.5085580548736[/C][C]32.1214419451264[/C][/ROW]
[ROW][C]340[/C][C]100.18[/C][C]81.8010030519549[/C][C]18.3789969480451[/C][/ROW]
[ROW][C]341[/C][C]97.3[/C][C]84.2253649772373[/C][C]13.0746350227627[/C][/ROW]
[ROW][C]342[/C][C]90.45[/C][C]86.5952468592549[/C][C]3.85475314074508[/C][/ROW]
[ROW][C]343[/C][C]80.64[/C][C]84.3615650853992[/C][C]-3.72156508539922[/C][/ROW]
[ROW][C]344[/C][C]80.58[/C][C]88.3930882869924[/C][C]-7.81308828699243[/C][/ROW]
[ROW][C]345[/C][C]75.82[/C][C]87.4396875298589[/C][C]-11.6196875298589[/C][/ROW]
[ROW][C]346[/C][C]85.59[/C][C]87.4396875298589[/C][C]-1.84968752985889[/C][/ROW]
[ROW][C]347[/C][C]89.35[/C][C]83.2447241984714[/C][C]6.10527580152862[/C][/ROW]
[ROW][C]348[/C][C]89.42[/C][C]81.6648029437929[/C][C]7.75519705620705[/C][/ROW]
[ROW][C]349[/C][C]104.73[/C][C]81.5830828788958[/C][C]23.1469171211042[/C][/ROW]
[ROW][C]350[/C][C]95.32[/C][C]80.0031616242174[/C][C]15.3168383757826[/C][/ROW]
[ROW][C]351[/C][C]89.27[/C][C]83.4626443715305[/C][C]5.80735562846952[/C][/ROW]
[ROW][C]352[/C][C]90.44[/C][C]83.217484176839[/C][C]7.22251582316101[/C][/ROW]
[ROW][C]353[/C][C]86.97[/C][C]84.770165409885[/C][C]2.19983459011498[/C][/ROW]
[ROW][C]354[/C][C]79.98[/C][C]79.5673212780992[/C][C]0.412678721900807[/C][/ROW]
[ROW][C]355[/C][C]81.22[/C][C]79.4583611915696[/C][C]1.76163880843036[/C][/ROW]
[ROW][C]356[/C][C]87.35[/C][C]80.6024421001299[/C][C]6.74755789987011[/C][/ROW]
[ROW][C]357[/C][C]83.64[/C][C]79.975921602585[/C][C]3.66407839741501[/C][/ROW]
[ROW][C]358[/C][C]82.22[/C][C]79.0225208454515[/C][C]3.19747915454853[/C][/ROW]
[ROW][C]359[/C][C]94.4[/C][C]79.5673212780992[/C][C]14.8326787219008[/C][/ROW]
[ROW][C]360[/C][C]102.18[/C][C]78.3415203046418[/C][C]23.8384796953582[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=147097&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=147097&T=4

As an alternative you can also use a QR Code:  

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

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
187.2863.005388125608124.2746118743919
287.2869.869873576969617.4101264230304
387.0975.236157838549711.8538421614503
486.9285.94148634007760.978513659922365
587.5995.4754939114129-7.88549391141292
690.72100.732818086464-10.0128180864635
790.6999.5614971562709-8.8714971562709
890.397.5184955338419-7.21849553384191
989.5595.7478941277368-6.19789412773679
1088.9494.0590127865288-5.11901278652883
1188.4190.899170277172-2.48917027717199
1287.8289.4554491306555-1.63544913065552
1387.0787.9300079192419-0.860007919241864
1486.8286.9493671404759-0.129367140475942
1586.486.24112657803390.15887342196611
1686.0282.97232398214753.04767601785248
1785.6681.50136281399864.15863718600137
1885.3279.15872095361346.16127904638659
198577.68775978546457.31224021453548
2084.6773.628996562238911.0410034377611
2183.9471.340834745118512.5991652548815
2282.8370.142273793293512.6877262067065
2381.9569.89711359860212.052886401398
2481.1969.488513274116211.7014867258838
2580.4868.317192343923612.1628076560764
2678.8667.200351456995711.6596485430043
2769.4765.29354994272864.17645005727135
2868.7764.34014918559514.42985081440488
2970.0663.82258877457986.23741122542022
3073.9565.10286979130198.84713020869806
3175.871.0956745504274.70432544957302
3277.7978.3415203046418-0.551520304641797
3381.5781.28344264093960.286557359060442
3483.0782.61820370092650.451796299073509
3584.3483.78952463111910.550475368880895
3685.184.33432506376680.765674936233156
3785.2581.09276248951284.15723751048717
3884.2682.61820370092651.64179629907352
3983.6380.71140218665942.91859781334057
4086.4479.26768104014297.17231895985706
4185.379.81248147279075.48751852720933
4284.179.18596097524584.91403902475422
4383.3681.06552246788052.29447753211954
4482.4880.22108179727652.25891820272354
4581.5877.22467941771394.35532058228605
4680.4775.61751814140324.85248185859685
4779.3471.85839515613387.4816048438662
4882.1369.188873036159912.9411269638401
4981.6968.289952322291213.4000476777088
5080.764.040508947638916.6594910523611
5179.8862.542307757857617.3376922421424
5279.1661.915787260312717.2442127396873
5378.3861.207546697870717.1724533021293
5477.4261.507186935826915.9128130641731
5576.4760.581026200325815.8889737996742
5675.4660.145185854207615.3148141457924
5774.4859.900025659516114.5799743404839
5878.2760.008985746045718.2610142539543
5980.759.137305053809321.5626949461907
6079.9161.588907000724118.3210929992759
6178.7561.098586611341117.6514133886589
6277.7864.203949077433213.5760509225668
6381.1464.503589315389416.6364106846106
6481.0864.585309380286616.4946906197134
6580.0364.721509488448515.3084905115515
6678.9164.231189099065614.6788109009344
6778.0163.441228471726414.5687715282736
6876.963.795348752947413.1046512470526
6975.9763.41398845009412.556011549906
7081.9362.787467952549119.1425320474509
7180.2762.542307757857617.7276922421424
7278.6762.678507866019615.9914921339805
7377.4263.141588233770114.2784117662299
7476.1663.577428579888312.5825714201117
7574.763.631908623153111.0680913768469
7676.3962.515067736225213.8749322637748
7776.0462.406107649695713.6338923503043
7874.6562.188187476636612.4618125233634
7973.2961.834067195415611.4559328045844
8071.7962.24266751990149.54733248009865
8174.3961.643387043988912.7466129560111
8274.9161.915787260312712.9942127396873
8374.5462.5695477794911.97045222051
8473.0861.970267303577511.1097326964225
8572.7563.16882825540259.5811717445975
8671.3264.66702944518386.65297055481622
8770.3864.06774896927126.31225103072874
8870.3564.34014918559516.00985081440487
8970.0164.69426946681625.31573053318386
9069.3665.64767022394973.71232977605032
9167.7766.3014307431271.46856925687304
9269.2666.11075059170023.14924940829976
9369.866.46487087292133.33512912707873
9468.3866.71003106761281.66996893238724
9567.6266.41039082965651.2096091703435
9668.3966.68279104598041.70720895401963
9766.9566.68279104598040.267208954019636
9865.2167.2275914786281-2.0175914786281
9966.6467.3365515651576-0.696551565157637
10063.4567.1186313920986-3.66863139209855
10160.6666.9007112190395-6.24071121903947
10262.3467.0369113272014-4.69691132720139
10360.3267.1186313920986-6.79863139209856
10458.6465.7021502672144-7.06215026721444
10560.4665.3752700076258-4.91527000762581
10658.5965.6749102455821-7.08491024558206
10761.8765.3752700076258-3.50527000762581
10861.8563.2505483202997-1.40054832029966
10967.4468.7802727116741-1.34027271167413
11077.0691.6346508612464-14.5746508612464
11191.7497.1916152742533-5.45161527425328
11293.1595.339293803251-2.18929380325098
11394.1594.2769329595879-0.126932959587912
11493.1193.4052522673516-0.295252267351557
11591.5191.41673068818730.0932693118126701
11689.9687.73932776781522.22067223218484
11788.1682.40028352786745.75971647213261
11886.9881.93720316011685.04279683988318
11988.0382.91784393888275.11215606111726
12086.2482.75440380908843.48559619091158
12184.6581.90996313848442.74003686151558
12283.2379.75800142952593.4719985704741
12381.778.23256021811223.46743978188776
12480.2575.67199818466794.57800181533208
12578.873.0024760646945.79752393530596
12677.5172.6483557834734.861644216527
12776.271.83115513450144.36884486549859
12875.0469.18887303615995.85112696384008
1297470.2512338798233.74876612017699
13075.4971.99459526429573.49540473570426
13177.1468.72579266840948.41420733159064
13276.1567.88135199780548.26864800219464
13376.2770.63259418267645.63740581732358
13478.1970.71431424757367.47568575242642
13576.4968.94371284146857.54628715853154
13677.3171.04119450716226.26880549283779
13776.6570.55087411777926.09912588222076
13874.9970.14227379329354.84772620670654
13973.5171.83115513450141.67884486549859
14072.0770.65983420430881.41016579569119
14170.5970.9049943990003-0.314994399000274
14271.9671.31359472348610.646405276513918
14376.2972.32147552388443.96852447611563
14474.8673.22039623775311.63960376224687
14574.9374.28275708141620.647242918583805
14671.976.6798789850662-4.77987898506621
14771.0176.3257587038452-5.31575870384519
14877.4778.3960003479066-0.926000347906574
14975.7879.7035213862611-3.92352138626113
15076.679.8124814727907-3.21248147279067
15176.0781.3924027274691-5.3224027274691
15274.5779.9214415593202-5.35144155932023
15373.0277.932919980156-4.91291998015601
15472.6576.2985186822128-3.64851868221281
15573.1672.62111576184060.538884238159364
15671.5373.5472764973418-2.01727649734177
15769.7873.002476064694-3.22247606469404
15867.9874.3099971030486-6.32999710304859
15969.9672.294235502252-2.334235502252
16072.1672.13079537245770.0292046275423244
16170.4773.5745165189742-3.10451651897416
16268.8674.6368773626372-5.77687736263723
16367.3776.734359028331-9.36435902833098
16465.8775.9988784442565-10.1288784442566
16572.1675.9443984009918-3.78439840099179
16671.3476.0805985091537-4.74059850915372
16769.9373.7651966704009-3.83519667040086
16868.4473.6562365838713-5.21623658387133
16967.1673.7651966704009-6.60519667040087
17066.0174.4734372328429-8.46343723284291
17167.2572.3759555671491-5.12595556714914
17270.9173.1931562161207-2.28315621612074
17369.7571.9673552426633-2.21735524266335
17468.5971.6132349614423-3.02323496144233
17567.4869.9515936418668-2.47159364186675
17666.3167.7451518896434-1.43515188964343
17764.8166.8734711974071-2.06347119740707
17866.5867.2548315002605-0.674831500260491
17965.9766.3559107863917-0.385910786391732
18064.765.0483897480372-0.348389748037172
18164.766.2197106782298-1.5197106782298
18260.9466.7645111108775-5.82451111087753
18359.0865.2118298778315-6.1318298778315
18458.4264.6942694668162-6.27426946681615
18557.7766.0017905051707-8.2317905051707
18657.1165.0483897480372-7.93838974803718
18753.3165.7838703321116-12.4738703321116
18849.9664.7215094884485-14.7615094884485
18949.462.6512678443872-13.2512678443872
19048.8461.4254668709298-12.5854668709298
19148.358.6742246860587-10.3742246860587
19247.7457.9387441019843-10.1987441019843
19347.2457.6118638423956-10.3718638423956
19446.7660.3358660056343-13.5758660056343
19546.2960.6082662219582-14.3182662219582
19648.961.016866546444-12.116866546444
19749.2362.0247473468423-12.7947473468423
19848.5362.5423077578576-14.0123077578576
19948.0362.9509080823434-14.9209080823434
20054.3461.6433870439889-7.30338704398886
20153.7961.4527068925622-7.66270689256216
20253.2459.327985205236-6.087985205236
20352.9659.818305594619-6.85830559461897
20452.1761.0985866113411-8.92858661134112
20551.762.4605876929605-10.7605876929605
20658.5562.4333476713281-3.88334767132807
20778.262.051987368474716.1480126315253
20877.0362.07922739010714.950772609893
20976.1962.596787801122413.5932121988776
21077.1564.312909163962712.8370908360373
21175.8784.5522452368259-8.68224523682593
21295.47115.578629876114-20.1086298761142
213109.67114.979349400202-5.30934940020168
214112.28114.761429227143-2.48142922714259
215112.01115.633109919379-3.62310991937895
216107.93112.90910775614-4.97910775614029
217105.96113.344948102258-7.38494810225849
218105.06108.877584554547-3.81758455454708
219102.98105.445341828866-2.46534182886639
220102.2104.791581309689-2.59158130968911
221105.23104.3285009419390.901499058061462
222101.85104.110580768879-2.26058076887945
22399.89103.238900076643-3.34890007664308
22496.23103.89266059582-7.66266059582036
22594.76102.394459406039-7.6344594060391
22691.5198.8260165721965-7.31601657219646
22791.6397.4367754689447-5.80677546894475
22891.5495.7478941277368-4.20789412773678
22985.2390.9808903420691-5.75089034206914
23087.8391.3350106232902-3.50501062329017
23187.3890.2454097579947-2.86540975799472
23284.4489.6188892604498-5.17888926044982
23385.1987.3579674649617-2.16796746496173
23484.0387.1945273351674-3.16452733516742
23586.7385.6146060804891.115393919511
236102.5285.887006296812916.6329937031871
237104.4584.334325063766820.1156749362332
238106.9884.633965301723122.3460346982769
239107.0282.972323982147524.0476760178525
24099.2683.626084501324815.6339154986752
24194.4583.435404349898111.0145956501019
242113.4483.871244696016329.5687553039837
243157.3389.21028893596468.119711064036
244147.3899.615977199535747.7640228004643
245171.89105.47258185049966.4174181495012
246171.95114.1621487512357.7878512487699
247132.71119.61015307770713.0998469222926
248126.02120.7269939646355.29300603536476
249121.18119.3105128397511.86948716024887
250115.45113.1815079724642.26849202753583
251110.48110.757146047182-0.277146047181768
252117.85106.88906297538310.9609370246171
253117.63103.18442003337814.4455799666217
254124.65101.76793890849422.8820610915058
255109.59103.4023402064376.1876597935626
256111.27101.3865786056419.8834213943592
25799.7899.18013685341750.599863146582507
25898.2196.67405486323791.53594513676206
25999.296.26545453875212.93454546124786
26097.9794.44037308938223.52962691061777
26189.5592.1522112722618-2.60221127226177
26287.9188.9651287412726-1.05512874127255
26393.3488.39308828699244.94691171300758
26494.4287.41244750822657.00755249177348
26593.287.11280727027036.08719272972974
26690.2986.92212711884363.36787288115645
26791.4688.22964815719813.23035184280188
26889.9887.95724794087432.02275205912575
26988.3588.7472085682135-0.397208568213458
27088.4186.73144696741691.67855303258314
27182.4486.7042069457845-4.26420694578447
27279.8986.9221271188436-7.03212711884356
27375.6985.96872636171-10.27872636171
27475.6688.3930882869924-12.7330882869924
27584.584.44328515029640.0567148497036215
27696.7384.715685366620212.0143146333798
27787.4889.9730095416708-2.49300954167084
27882.3993.7048925053078-11.3148925053078
27983.4892.5063315534828-9.02633155348279
28079.3191.1715704934958-11.8615704934958
28178.1689.7278493469794-11.5678493469794
28272.7787.0038471837407-14.2338471837407
28372.4587.4124475082265-14.9624475082265
28468.4687.3579674649617-18.8979674649617
28567.6284.4977651935612-16.8777651935611
28668.7683.8984847176486-15.1384847176486
28770.0781.882723116852-11.8127231168521
28868.5581.0382824462481-12.4882824462481
28965.381.3651627058367-16.0651627058367
29058.9681.17448255441-22.21448255441
29159.1780.8476022948214-21.6776022948214
29262.3778.7501206291276-16.3801206291276
29366.2877.9056799585236-11.6256799585236
29455.6279.5128412348344-23.8928412348344
29555.2377.9056799585236-22.6756799585236
29655.8576.5164388552719-20.6664388552719
29756.7575.9443984009918-19.1943984009918
29850.8975.6719981846679-24.7819981846679
29953.8874.9365176005935-21.0565176005935
30052.9572.8935159781645-19.9435159781645
30155.0873.5200364757094-18.4400364757094
30253.6173.7924366920333-20.1824366920333
30358.7871.4225548100156-12.6425548100156
30461.8574.6096373410049-12.7596373410048
30555.9175.5630380981384-19.6530380981384
30653.3273.5745165189742-20.2545165189742
30746.4174.6368773626372-28.2268773626372
30844.5773.3293563242827-28.7593563242827
3095073.1114361512236-23.1114361512236
3105071.7766750912367-21.7766750912366
31153.3672.0490753075605-18.6890753075605
31246.2370.8505143557355-24.6205143557355
31350.4575.2361578385497-24.7861578385497
31449.0773.1931562161207-24.1231562161207
31545.8573.4383164108122-27.5883164108122
31648.4575.4813180332412-27.0313180332412
31749.9673.5472764973418-23.5872764973418
31846.5373.3838363675475-26.8538363675475
31950.5173.7379566487685-23.2279566487685
32047.5873.1114361512236-25.5314361512236
32148.0573.0569561079588-25.0069561079588
32246.8470.4963940745145-23.6563940745145
32347.6769.2433530794247-21.5733530794247
32449.1671.8583951561338-22.6983951561338
32555.5472.3214755238844-16.7814755238844
32655.8271.3408347451185-15.5208347451185
32758.2273.4110763891798-15.1910763891798
32856.1972.7573158700026-16.5673158700026
32957.7770.6598342043088-12.8898342043088
33063.1968.4533924520855-5.26339245208549
33154.7671.940115221031-17.180115221031
33255.7471.940115221031-16.200115221031
33362.5471.8311551345014-9.29115513450141
33461.3970.9049943990003-9.51499439900028
33569.669.21611305779230.383886942207677
33679.2369.161633014527610.0683669854725
3378076.59815892016913.40184107983094
33893.6873.628996562238920.0510034377611
339107.6375.508558054873632.1214419451264
340100.1881.801003051954918.3789969480451
34197.384.225364977237313.0746350227627
34290.4586.59524685925493.85475314074508
34380.6484.3615650853992-3.72156508539922
34480.5888.3930882869924-7.81308828699243
34575.8287.4396875298589-11.6196875298589
34685.5987.4396875298589-1.84968752985889
34789.3583.24472419847146.10527580152862
34889.4281.66480294379297.75519705620705
349104.7381.583082878895823.1469171211042
35095.3280.003161624217415.3168383757826
35189.2783.46264437153055.80735562846952
35290.4483.2174841768397.22251582316101
35386.9784.7701654098852.19983459011498
35479.9879.56732127809920.412678721900807
35581.2279.45836119156961.76163880843036
35687.3580.60244210012996.74755789987011
35783.6479.9759216025853.66407839741501
35882.2279.02252084545153.19747915454853
35994.479.567321278099214.8326787219008
360102.1878.341520304641823.8384796953582







Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
51.29941878344513e-052.59883756689027e-050.999987005812166
60.0001431804306000730.0002863608612001460.9998568195694
72.36919341337914e-054.73838682675829e-050.999976308065866
82.58965605849749e-065.17931211699498e-060.999997410343942
92.1329277460913e-074.2658554921826e-070.999999786707225
101.69257644071491e-083.38515288142983e-080.999999983074236
111.38032082903065e-092.76064165806129e-090.999999998619679
121.44573724243864e-102.89147448487729e-100.999999999855426
132.68675055854209e-115.37350111708417e-110.999999999973132
145.17530806162707e-121.03506161232541e-110.999999999994825
151.30755793163231e-122.61511586326461e-120.999999999998692
162.97289735934975e-135.9457947186995e-130.999999999999703
177.19979397546308e-141.43995879509262e-130.999999999999928
181.6094838240232e-143.21896764804641e-140.999999999999984
193.5354564170284e-157.0709128340568e-150.999999999999996
205.83398720889213e-161.16679744177843e-150.999999999999999
211.1900989476274e-162.38019789525481e-161
224.89991142365545e-179.79982284731091e-171
233.42934913675758e-176.85869827351517e-171
243.05543467103162e-176.11086934206324e-171
252.61107438813856e-175.22214877627713e-171
265.53463311059088e-171.10692662211818e-161
271.73005248558066e-123.46010497116133e-120.99999999999827
287.88324266244395e-111.57664853248879e-100.999999999921168
292.32564461570791e-104.65128923141582e-100.999999999767436
301.27998725936091e-102.55997451872182e-100.999999999872001
317.17068188464251e-111.4341363769285e-100.999999999928293
324.75494811545497e-119.50989623090995e-110.99999999995245
331.72152190480163e-113.44304380960325e-110.999999999982785
345.45278301266061e-121.09055660253212e-110.999999999994547
351.60502801827609e-123.21005603655217e-120.999999999998395
364.56882831220842e-139.13765662441685e-130.999999999999543
371.33393823256289e-132.66787646512577e-130.999999999999867
383.70631295618003e-147.41262591236007e-140.999999999999963
391.01360348799786e-142.02720697599572e-140.99999999999999
403.70267648303788e-157.40535296607577e-150.999999999999996
411.08311183921413e-152.16622367842825e-150.999999999999999
422.91236157400289e-165.82472314800578e-161
437.78734103643558e-171.55746820728712e-161
442.14686433764063e-174.29372867528126e-171
455.73668036135198e-181.1473360722704e-171
461.58913998822696e-183.17827997645392e-181
474.25309416541259e-198.50618833082518e-191
481.46622941754598e-192.93245883509195e-191
494.88127785950622e-209.76255571901243e-201
501.87587718126349e-203.75175436252699e-201
516.66246932913834e-211.33249386582767e-201
522.12640158452379e-214.25280316904758e-211
536.28972478266125e-221.25794495653225e-211
541.71885564433284e-223.43771128866567e-221
554.73969393608834e-239.47938787217668e-231
561.3781224141252e-232.75624482825041e-231
574.46086511856492e-248.92173023712983e-241
581.43724084713308e-242.87448169426616e-241
599.85965664817314e-251.97193132963463e-241
603.72194725217668e-257.44389450435336e-251
611.17005830991203e-252.34011661982406e-251
623.20361553677902e-266.40723107355803e-261
631.21179469805406e-262.42358939610812e-261
644.44311043775064e-278.88622087550127e-271
651.32318036904546e-272.64636073809091e-271
663.65416882983132e-287.30833765966263e-281
671.01488817244044e-282.02977634488088e-281
683.07743892099036e-296.15487784198072e-291
691.07141543261453e-292.14283086522907e-291
706.86802479867522e-301.37360495973504e-291
712.65044500099644e-305.30089000199289e-301
727.94336421958267e-311.58867284391653e-301
732.36529021395441e-314.73058042790883e-311
748.49945493798663e-321.69989098759733e-311
754.5676356168241e-329.13527123364819e-321
761.49986889515396e-322.99973779030792e-321
775.17458462561054e-331.03491692512211e-321
782.40552776981567e-334.81105553963134e-331
791.69171862254055e-333.3834372450811e-331
802.41519582888393e-334.83039165776785e-331
811.08553351132594e-332.17106702265188e-331
824.38915522021091e-348.77831044042181e-341
832.00238451672385e-344.00476903344771e-341
841.34797521680756e-342.69595043361511e-341
851.16301890387664e-342.32603780775327e-341
862.51900688145768e-345.03801376291537e-341
877.29898187546968e-341.45979637509394e-331
881.93422121376651e-333.86844242753303e-331
895.74751339041304e-331.14950267808261e-321
902.59626309246566e-325.19252618493133e-321
912.98040619180214e-315.96081238360429e-311
929.88096242669181e-311.97619248533836e-301
932.30447689954912e-304.60895379909825e-301
941.00408521574613e-292.00817043149227e-291
955.02139449242946e-291.00427889848589e-281
961.50371628185907e-283.00743256371814e-281
977.63700062421589e-281.52740012484318e-271
988.43759549790577e-271.68751909958115e-261
993.57612994200164e-267.15225988400329e-261
1005.36993799716378e-251.07398759943276e-241
1012.17117604092752e-234.34235208185504e-231
1022.35406468114602e-224.70812936229204e-221
1034.4980910384152e-218.99618207683039e-211
1048.64807609887725e-201.72961521977545e-191
1055.36019387342952e-191.0720387746859e-181
1065.20491067158367e-181.04098213431673e-171
1071.40255548354372e-172.80511096708744e-171
1082.71047559243556e-175.42095118487112e-171
1092.76512802819593e-175.53025605639186e-171
1104.40736877039027e-178.81473754078055e-171
1112.1529422267099e-174.3058844534198e-171
1121.12241115967209e-172.24482231934419e-171
1136.42338532584272e-181.28467706516854e-171
1143.41534702808507e-186.83069405617013e-181
1151.71243579078091e-183.42487158156183e-181
1168.75467992672767e-191.75093598534553e-181
1175.03949968197434e-191.00789993639487e-181
1182.65430717899969e-195.30861435799938e-191
1191.44118579726116e-192.88237159452231e-191
1206.86190421610542e-201.37238084322108e-191
1213.11059682526997e-206.22119365053993e-201
1221.41740354557897e-202.83480709115795e-201
1236.42578061061929e-211.28515612212386e-201
1242.98891106908938e-215.97782213817876e-211
1251.44369831893295e-212.88739663786591e-211
1266.93334193973145e-221.38666838794629e-211
1273.40484433691285e-226.80968867382569e-221
1281.74476127058891e-223.48952254117783e-221
1299.21647330383214e-231.84329466076643e-221
1304.60078650430022e-239.20157300860044e-231
1312.48637207170773e-234.97274414341546e-231
1321.34944427242606e-232.69888854485213e-231
1336.70811707304676e-241.34162341460935e-231
1343.47571098442918e-246.95142196885835e-241
1351.83730025961789e-243.67460051923579e-241
1369.15958616788438e-251.83191723357688e-241
1374.59742416342146e-259.19484832684293e-251
1382.35320949345747e-254.70641898691495e-251
1391.32858061381005e-252.65716122762011e-251
1408.24586052171259e-261.64917210434252e-251
1416.20453465502463e-261.24090693100493e-251
1423.96112237834035e-267.9222447566807e-261
1431.91905913816997e-263.83811827633993e-261
1449.9220515954603e-271.98441031909206e-261
1455.22247634319329e-271.04449526863866e-261
1464.92735882807208e-279.85471765614417e-271
1475.25263016293115e-271.05052603258623e-261
1482.51821617423596e-275.03643234847191e-271
1491.5410846139172e-273.08216922783441e-271
1508.45653850658455e-281.69130770131691e-271
1515.53052640658716e-281.10610528131743e-271
1524.00603346222148e-288.01206692444296e-281
1533.12650426430406e-286.25300852860812e-281
1542.23563418026331e-284.47126836052661e-281
1551.2296290947301e-282.4592581894602e-281
1568.46599801298709e-291.69319960259742e-281
1577.33266883814418e-291.46653376762884e-281
1581.02921550878884e-282.05843101757768e-281
1597.9383317997304e-291.58766635994608e-281
1604.57913436705192e-299.15826873410383e-291
1613.50228109145939e-297.00456218291877e-291
1623.89275348665037e-297.78550697330075e-291
1637.76245200140157e-291.55249040028031e-281
1641.97691052062241e-283.95382104124482e-281
1651.29610601553726e-282.59221203107453e-281
1669.55272820214227e-291.91054564042845e-281
1677.32130070954033e-291.46426014190807e-281
1687.03694175050689e-291.40738835010138e-281
1698.58818398251095e-291.71763679650219e-281
1701.42101852214951e-282.84203704429903e-281
1711.41961220921862e-282.83922441843724e-281
1728.74497165996752e-291.7489943319935e-281
1735.77800053042854e-291.15560010608571e-281
1744.30197690471111e-298.60395380942222e-291
1753.36767573181201e-296.73535146362402e-291
1762.73426113243514e-295.46852226487028e-291
1772.58110920722914e-295.16221841445829e-291
1781.9504250434838e-293.9008500869676e-291
1791.52041189241331e-293.04082378482661e-291
1801.30176294020489e-292.60352588040978e-291
1811.15492702229603e-292.30985404459206e-291
1821.9823447975963e-293.96468959519259e-291
1834.12573892767857e-298.25147785535715e-291
1848.83600923406947e-291.76720184681389e-281
1852.37865344064264e-284.75730688128527e-281
1866.15732961597949e-281.2314659231959e-271
1874.32216713642725e-278.64433427285449e-271
1885.72774156648059e-261.14554831329612e-251
1894.85637823776525e-259.7127564755305e-251
1903.19399652341108e-246.38799304682217e-241
1911.35765504187077e-232.71531008374154e-231
1925.09777567678985e-231.01955513535797e-221
1931.76646499110811e-223.53292998221622e-221
1948.4048690697276e-221.68097381394552e-211
1953.9407522011188e-217.8815044022376e-211
1961.02456800212923e-202.04913600425846e-201
1972.60163820328393e-205.20327640656787e-201
1987.34030438453311e-201.46806087690662e-191
1992.18714466552543e-194.37428933105086e-191
2002.25101665370615e-194.50203330741231e-191
2012.36560507988994e-194.73121015977987e-191
2022.28418044410534e-194.56836088821068e-191
2032.27171699314332e-194.54343398628665e-191
2042.5745765459136e-195.1491530918272e-191
2053.32550198871559e-196.65100397743118e-191
2062.43148032985216e-194.86296065970432e-191
2076.79720334574604e-191.35944066914921e-181
2081.67069898403335e-183.34139796806671e-181
2093.55370883407797e-187.10741766815593e-181
2107.01140217965975e-181.40228043593195e-171
2114.63280608978017e-189.26561217956034e-181
2121.62186461511402e-173.24372923022805e-171
2131.49672472580245e-172.9934494516049e-171
2141.36530664443726e-172.73061328887453e-171
2151.32725711950792e-172.65451423901585e-171
2161.23737799998731e-172.47475599997462e-171
2171.41170878250955e-172.82341756501911e-171
2181.18121231059929e-172.36242462119858e-171
2198.56642283309771e-181.71328456661954e-171
2206.16602717448985e-181.23320543489797e-171
2214.3476714590312e-188.69534291806241e-181
2223.09557093735769e-186.19114187471539e-181
2232.23646150572715e-184.4729230114543e-181
2242.21501643298984e-184.43003286597967e-181
2252.1289741059359e-184.25794821187181e-181
2261.76492685340881e-183.52985370681763e-181
2271.26776010730962e-182.53552021461923e-181
2287.97163649072542e-191.59432729814508e-181
2294.82826509892158e-199.65653019784315e-191
2302.65512821867804e-195.31025643735609e-191
2311.40318041098197e-192.80636082196394e-191
2327.98749970399396e-201.59749994079879e-191
2334.00792470155972e-208.01584940311944e-201
2342.03699819283656e-204.07399638567312e-201
2351.02941108703715e-202.0588221740743e-201
2363.16650555813874e-206.33301111627748e-201
2372.11148704585541e-194.22297409171082e-191
2382.22984544858352e-184.45969089716703e-181
2393.54182226296097e-177.08364452592195e-171
2408.22327739544789e-171.64465547908958e-161
2419.65281342746952e-171.9305626854939e-161
2425.48552833899274e-151.09710566779855e-140.999999999999995
2431.61308403859098e-073.22616807718195e-070.999999838691596
2442.45170154169379e-054.90340308338758e-050.999975482984583
2450.01875730041224010.03751460082448010.98124269958776
2460.209835874891440.419671749782880.79016412510856
2470.1956637794654830.3913275589309670.804336220534517
2480.1880189335431940.3760378670863890.811981066456806
2490.191688624771770.3833772495435390.80831137522823
2500.1873474575949670.3746949151899330.812652542405033
2510.1901461791702580.3802923583405160.809853820829742
2520.1731676926906940.3463353853813880.826832307309306
2530.161329074477560.322658148955120.83867092552244
2540.1799102920594590.3598205841189180.820089707940541
2550.1605554910328710.3211109820657410.839444508967129
2560.1437734282381570.2875468564763140.856226571761843
2570.1285693480893220.2571386961786450.871430651910678
2580.112784531552040.225569063104080.88721546844796
2590.09788821547368610.1957764309473720.902111784526314
2600.08437215274201850.1687443054840370.915627847257982
2610.07382506906956530.1476501381391310.926174930930435
2620.06326480957852430.1265296191570490.936735190421476
2630.05550959871674430.1110191974334890.944490401283256
2640.050674330715420.101348661430840.94932566928458
2650.04575366917742250.0915073383548450.954246330822577
2660.03980183037491050.0796036607498210.96019816962509
2670.03414391254282150.0682878250856430.965856087457179
2680.02892900425494620.05785800850989240.971070995745054
2690.02402309762905790.04804619525811580.975976902370942
2700.02029827086427430.04059654172854870.979701729135726
2710.01687757534474260.03375515068948510.983122424655257
2720.01436227286314310.02872454572628610.985637727136857
2730.01287113595066140.02574227190132290.987128864049339
2740.01268919010015830.02537838020031650.987310809899842
2750.01049100562176830.02098201124353670.989508994378232
2760.0118891292192810.0237782584385620.988110870780719
2770.009578823069692490.0191576461393850.990421176930308
2780.009689242708427360.01937848541685470.990310757291573
2790.009071359693932370.01814271938786470.990928640306068
2800.009389046127804380.01877809225560880.990610953872196
2810.009543261649093460.01908652329818690.990456738350907
2820.01032729196493870.02065458392987750.989672708035061
2830.0119706371485110.02394127429702210.988029362851489
2840.01771957227137150.03543914454274290.982280427728629
2850.0213738479582550.04274769591651010.978626152041745
2860.0237003783112330.0474007566224660.976299621688767
2870.02222571423820030.04445142847640050.9777742857618
2880.02086822665693720.04173645331387440.979131773343063
2890.02242024257464140.04484048514928270.977579757425359
2900.03212345172776870.06424690345553730.967876548272231
2910.04391365341789420.08782730683578840.956086346582106
2920.04444710697928390.08889421395856780.955552893020716
2930.03932312960743990.07864625921487970.96067687039256
2940.05640786911212980.112815738224260.94359213088787
2950.06988252687199490.139765053743990.930117473128005
2960.07576546190460540.1515309238092110.924234538095395
2970.07710897817115850.1542179563423170.922891021828842
2980.09361148537593030.1872229707518610.90638851462407
2990.09745645860287690.1949129172057540.902543541397123
3000.09411258670284830.1882251734056970.905887413297152
3010.08891807683380270.1778361536676050.911081923166197
3020.08760421404349590.1752084280869920.912395785956504
3030.07636471244294190.1527294248858840.923635287557058
3040.06620864046931770.1324172809386350.933791359530682
3050.06705153605077440.1341030721015490.932948463949226
3060.06537239501101430.1307447900220290.934627604988986
3070.08818731898564430.1763746379712890.911812681014356
3080.1133890362543120.2267780725086240.886610963745688
3090.1187480408997890.2374960817995790.88125195910021
3100.1164187203960880.2328374407921770.883581279603912
3110.1076325461188780.2152650922377560.892367453881122
3120.1114327374109290.2228654748218580.888567262589071
3130.1345895439374830.2691790878749660.865410456062517
3140.1483753476087390.2967506952174790.851624652391261
3150.1868505913261940.3737011826523880.813149408673806
3160.24787260762320.49574521524640.7521273923768
3170.2756357517795540.5512715035591090.724364248220446
3180.3375132122966050.675026424593210.662486787703395
3190.3776036224673140.7552072449346270.622396377532686
3200.443848479125040.8876969582500790.55615152087496
3210.5148805312656450.970238937468710.485119468734355
3220.558564245715290.8828715085694190.44143575428471
3230.583063787173360.833872425653280.41693621282664
3240.6485810116144630.7028379767710730.351418988385537
3250.666438178470030.6671236430599410.33356182152997
3260.6766311045847710.6467377908304570.323368895415229
3270.6999623111744720.6000753776510560.300037688825528
3280.7427530737314450.514493852537110.257246926268555
3290.7573459954898680.4853080090202640.242654004510132
3300.7288786806128570.5422426387742860.271121319387143
3310.8164487623577070.3671024752845860.183551237642293
3320.9023167539688760.1953664920622480.0976832460311242
3330.9377658323864580.1244683352270840.0622341676135421
3340.9784963479459070.04300730410818650.0215036520540933
3350.9915241319830480.01695173603390440.00847586801695222
3360.9956503114296130.008699377140774040.00434968857038702
3370.9973964856875220.005207028624955560.00260351431247778
3380.9962317539495530.007536492100894740.00376824605044737
3390.9971349434114150.005730113177170120.00286505658858506
3400.9975530707743690.004893858451261220.00244692922563061
3410.9978010425507630.004397914898473960.00219895744923698
3420.9967960296164240.006407940767151760.00320397038357588
3430.9949116637403490.01017667251930120.00508833625965059
3440.9907456315324490.01850873693510270.00925436846755137
3450.9908399997089050.01832000058219060.00916000029109531
3460.9837564836847650.03248703263046990.0162435163152349
3470.9703902405690080.05921951886198320.0296097594309916
3480.9480540273599630.1038919452800730.0519459726400366
3490.978328642271220.04334271545755960.0216713577287798
3500.9701518828696410.05969623426071780.0298481171303589
3510.9424524751614960.1150950496770080.0575475248385042
3520.9020695236487130.1958609527025750.0979304763512873
3530.8810963426957190.2378073146085630.118903657304281
3540.8362122817832120.3275754364335760.163787718216788
3550.7840126211174980.4319747577650030.215987378882502

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
5 & 1.29941878344513e-05 & 2.59883756689027e-05 & 0.999987005812166 \tabularnewline
6 & 0.000143180430600073 & 0.000286360861200146 & 0.9998568195694 \tabularnewline
7 & 2.36919341337914e-05 & 4.73838682675829e-05 & 0.999976308065866 \tabularnewline
8 & 2.58965605849749e-06 & 5.17931211699498e-06 & 0.999997410343942 \tabularnewline
9 & 2.1329277460913e-07 & 4.2658554921826e-07 & 0.999999786707225 \tabularnewline
10 & 1.69257644071491e-08 & 3.38515288142983e-08 & 0.999999983074236 \tabularnewline
11 & 1.38032082903065e-09 & 2.76064165806129e-09 & 0.999999998619679 \tabularnewline
12 & 1.44573724243864e-10 & 2.89147448487729e-10 & 0.999999999855426 \tabularnewline
13 & 2.68675055854209e-11 & 5.37350111708417e-11 & 0.999999999973132 \tabularnewline
14 & 5.17530806162707e-12 & 1.03506161232541e-11 & 0.999999999994825 \tabularnewline
15 & 1.30755793163231e-12 & 2.61511586326461e-12 & 0.999999999998692 \tabularnewline
16 & 2.97289735934975e-13 & 5.9457947186995e-13 & 0.999999999999703 \tabularnewline
17 & 7.19979397546308e-14 & 1.43995879509262e-13 & 0.999999999999928 \tabularnewline
18 & 1.6094838240232e-14 & 3.21896764804641e-14 & 0.999999999999984 \tabularnewline
19 & 3.5354564170284e-15 & 7.0709128340568e-15 & 0.999999999999996 \tabularnewline
20 & 5.83398720889213e-16 & 1.16679744177843e-15 & 0.999999999999999 \tabularnewline
21 & 1.1900989476274e-16 & 2.38019789525481e-16 & 1 \tabularnewline
22 & 4.89991142365545e-17 & 9.79982284731091e-17 & 1 \tabularnewline
23 & 3.42934913675758e-17 & 6.85869827351517e-17 & 1 \tabularnewline
24 & 3.05543467103162e-17 & 6.11086934206324e-17 & 1 \tabularnewline
25 & 2.61107438813856e-17 & 5.22214877627713e-17 & 1 \tabularnewline
26 & 5.53463311059088e-17 & 1.10692662211818e-16 & 1 \tabularnewline
27 & 1.73005248558066e-12 & 3.46010497116133e-12 & 0.99999999999827 \tabularnewline
28 & 7.88324266244395e-11 & 1.57664853248879e-10 & 0.999999999921168 \tabularnewline
29 & 2.32564461570791e-10 & 4.65128923141582e-10 & 0.999999999767436 \tabularnewline
30 & 1.27998725936091e-10 & 2.55997451872182e-10 & 0.999999999872001 \tabularnewline
31 & 7.17068188464251e-11 & 1.4341363769285e-10 & 0.999999999928293 \tabularnewline
32 & 4.75494811545497e-11 & 9.50989623090995e-11 & 0.99999999995245 \tabularnewline
33 & 1.72152190480163e-11 & 3.44304380960325e-11 & 0.999999999982785 \tabularnewline
34 & 5.45278301266061e-12 & 1.09055660253212e-11 & 0.999999999994547 \tabularnewline
35 & 1.60502801827609e-12 & 3.21005603655217e-12 & 0.999999999998395 \tabularnewline
36 & 4.56882831220842e-13 & 9.13765662441685e-13 & 0.999999999999543 \tabularnewline
37 & 1.33393823256289e-13 & 2.66787646512577e-13 & 0.999999999999867 \tabularnewline
38 & 3.70631295618003e-14 & 7.41262591236007e-14 & 0.999999999999963 \tabularnewline
39 & 1.01360348799786e-14 & 2.02720697599572e-14 & 0.99999999999999 \tabularnewline
40 & 3.70267648303788e-15 & 7.40535296607577e-15 & 0.999999999999996 \tabularnewline
41 & 1.08311183921413e-15 & 2.16622367842825e-15 & 0.999999999999999 \tabularnewline
42 & 2.91236157400289e-16 & 5.82472314800578e-16 & 1 \tabularnewline
43 & 7.78734103643558e-17 & 1.55746820728712e-16 & 1 \tabularnewline
44 & 2.14686433764063e-17 & 4.29372867528126e-17 & 1 \tabularnewline
45 & 5.73668036135198e-18 & 1.1473360722704e-17 & 1 \tabularnewline
46 & 1.58913998822696e-18 & 3.17827997645392e-18 & 1 \tabularnewline
47 & 4.25309416541259e-19 & 8.50618833082518e-19 & 1 \tabularnewline
48 & 1.46622941754598e-19 & 2.93245883509195e-19 & 1 \tabularnewline
49 & 4.88127785950622e-20 & 9.76255571901243e-20 & 1 \tabularnewline
50 & 1.87587718126349e-20 & 3.75175436252699e-20 & 1 \tabularnewline
51 & 6.66246932913834e-21 & 1.33249386582767e-20 & 1 \tabularnewline
52 & 2.12640158452379e-21 & 4.25280316904758e-21 & 1 \tabularnewline
53 & 6.28972478266125e-22 & 1.25794495653225e-21 & 1 \tabularnewline
54 & 1.71885564433284e-22 & 3.43771128866567e-22 & 1 \tabularnewline
55 & 4.73969393608834e-23 & 9.47938787217668e-23 & 1 \tabularnewline
56 & 1.3781224141252e-23 & 2.75624482825041e-23 & 1 \tabularnewline
57 & 4.46086511856492e-24 & 8.92173023712983e-24 & 1 \tabularnewline
58 & 1.43724084713308e-24 & 2.87448169426616e-24 & 1 \tabularnewline
59 & 9.85965664817314e-25 & 1.97193132963463e-24 & 1 \tabularnewline
60 & 3.72194725217668e-25 & 7.44389450435336e-25 & 1 \tabularnewline
61 & 1.17005830991203e-25 & 2.34011661982406e-25 & 1 \tabularnewline
62 & 3.20361553677902e-26 & 6.40723107355803e-26 & 1 \tabularnewline
63 & 1.21179469805406e-26 & 2.42358939610812e-26 & 1 \tabularnewline
64 & 4.44311043775064e-27 & 8.88622087550127e-27 & 1 \tabularnewline
65 & 1.32318036904546e-27 & 2.64636073809091e-27 & 1 \tabularnewline
66 & 3.65416882983132e-28 & 7.30833765966263e-28 & 1 \tabularnewline
67 & 1.01488817244044e-28 & 2.02977634488088e-28 & 1 \tabularnewline
68 & 3.07743892099036e-29 & 6.15487784198072e-29 & 1 \tabularnewline
69 & 1.07141543261453e-29 & 2.14283086522907e-29 & 1 \tabularnewline
70 & 6.86802479867522e-30 & 1.37360495973504e-29 & 1 \tabularnewline
71 & 2.65044500099644e-30 & 5.30089000199289e-30 & 1 \tabularnewline
72 & 7.94336421958267e-31 & 1.58867284391653e-30 & 1 \tabularnewline
73 & 2.36529021395441e-31 & 4.73058042790883e-31 & 1 \tabularnewline
74 & 8.49945493798663e-32 & 1.69989098759733e-31 & 1 \tabularnewline
75 & 4.5676356168241e-32 & 9.13527123364819e-32 & 1 \tabularnewline
76 & 1.49986889515396e-32 & 2.99973779030792e-32 & 1 \tabularnewline
77 & 5.17458462561054e-33 & 1.03491692512211e-32 & 1 \tabularnewline
78 & 2.40552776981567e-33 & 4.81105553963134e-33 & 1 \tabularnewline
79 & 1.69171862254055e-33 & 3.3834372450811e-33 & 1 \tabularnewline
80 & 2.41519582888393e-33 & 4.83039165776785e-33 & 1 \tabularnewline
81 & 1.08553351132594e-33 & 2.17106702265188e-33 & 1 \tabularnewline
82 & 4.38915522021091e-34 & 8.77831044042181e-34 & 1 \tabularnewline
83 & 2.00238451672385e-34 & 4.00476903344771e-34 & 1 \tabularnewline
84 & 1.34797521680756e-34 & 2.69595043361511e-34 & 1 \tabularnewline
85 & 1.16301890387664e-34 & 2.32603780775327e-34 & 1 \tabularnewline
86 & 2.51900688145768e-34 & 5.03801376291537e-34 & 1 \tabularnewline
87 & 7.29898187546968e-34 & 1.45979637509394e-33 & 1 \tabularnewline
88 & 1.93422121376651e-33 & 3.86844242753303e-33 & 1 \tabularnewline
89 & 5.74751339041304e-33 & 1.14950267808261e-32 & 1 \tabularnewline
90 & 2.59626309246566e-32 & 5.19252618493133e-32 & 1 \tabularnewline
91 & 2.98040619180214e-31 & 5.96081238360429e-31 & 1 \tabularnewline
92 & 9.88096242669181e-31 & 1.97619248533836e-30 & 1 \tabularnewline
93 & 2.30447689954912e-30 & 4.60895379909825e-30 & 1 \tabularnewline
94 & 1.00408521574613e-29 & 2.00817043149227e-29 & 1 \tabularnewline
95 & 5.02139449242946e-29 & 1.00427889848589e-28 & 1 \tabularnewline
96 & 1.50371628185907e-28 & 3.00743256371814e-28 & 1 \tabularnewline
97 & 7.63700062421589e-28 & 1.52740012484318e-27 & 1 \tabularnewline
98 & 8.43759549790577e-27 & 1.68751909958115e-26 & 1 \tabularnewline
99 & 3.57612994200164e-26 & 7.15225988400329e-26 & 1 \tabularnewline
100 & 5.36993799716378e-25 & 1.07398759943276e-24 & 1 \tabularnewline
101 & 2.17117604092752e-23 & 4.34235208185504e-23 & 1 \tabularnewline
102 & 2.35406468114602e-22 & 4.70812936229204e-22 & 1 \tabularnewline
103 & 4.4980910384152e-21 & 8.99618207683039e-21 & 1 \tabularnewline
104 & 8.64807609887725e-20 & 1.72961521977545e-19 & 1 \tabularnewline
105 & 5.36019387342952e-19 & 1.0720387746859e-18 & 1 \tabularnewline
106 & 5.20491067158367e-18 & 1.04098213431673e-17 & 1 \tabularnewline
107 & 1.40255548354372e-17 & 2.80511096708744e-17 & 1 \tabularnewline
108 & 2.71047559243556e-17 & 5.42095118487112e-17 & 1 \tabularnewline
109 & 2.76512802819593e-17 & 5.53025605639186e-17 & 1 \tabularnewline
110 & 4.40736877039027e-17 & 8.81473754078055e-17 & 1 \tabularnewline
111 & 2.1529422267099e-17 & 4.3058844534198e-17 & 1 \tabularnewline
112 & 1.12241115967209e-17 & 2.24482231934419e-17 & 1 \tabularnewline
113 & 6.42338532584272e-18 & 1.28467706516854e-17 & 1 \tabularnewline
114 & 3.41534702808507e-18 & 6.83069405617013e-18 & 1 \tabularnewline
115 & 1.71243579078091e-18 & 3.42487158156183e-18 & 1 \tabularnewline
116 & 8.75467992672767e-19 & 1.75093598534553e-18 & 1 \tabularnewline
117 & 5.03949968197434e-19 & 1.00789993639487e-18 & 1 \tabularnewline
118 & 2.65430717899969e-19 & 5.30861435799938e-19 & 1 \tabularnewline
119 & 1.44118579726116e-19 & 2.88237159452231e-19 & 1 \tabularnewline
120 & 6.86190421610542e-20 & 1.37238084322108e-19 & 1 \tabularnewline
121 & 3.11059682526997e-20 & 6.22119365053993e-20 & 1 \tabularnewline
122 & 1.41740354557897e-20 & 2.83480709115795e-20 & 1 \tabularnewline
123 & 6.42578061061929e-21 & 1.28515612212386e-20 & 1 \tabularnewline
124 & 2.98891106908938e-21 & 5.97782213817876e-21 & 1 \tabularnewline
125 & 1.44369831893295e-21 & 2.88739663786591e-21 & 1 \tabularnewline
126 & 6.93334193973145e-22 & 1.38666838794629e-21 & 1 \tabularnewline
127 & 3.40484433691285e-22 & 6.80968867382569e-22 & 1 \tabularnewline
128 & 1.74476127058891e-22 & 3.48952254117783e-22 & 1 \tabularnewline
129 & 9.21647330383214e-23 & 1.84329466076643e-22 & 1 \tabularnewline
130 & 4.60078650430022e-23 & 9.20157300860044e-23 & 1 \tabularnewline
131 & 2.48637207170773e-23 & 4.97274414341546e-23 & 1 \tabularnewline
132 & 1.34944427242606e-23 & 2.69888854485213e-23 & 1 \tabularnewline
133 & 6.70811707304676e-24 & 1.34162341460935e-23 & 1 \tabularnewline
134 & 3.47571098442918e-24 & 6.95142196885835e-24 & 1 \tabularnewline
135 & 1.83730025961789e-24 & 3.67460051923579e-24 & 1 \tabularnewline
136 & 9.15958616788438e-25 & 1.83191723357688e-24 & 1 \tabularnewline
137 & 4.59742416342146e-25 & 9.19484832684293e-25 & 1 \tabularnewline
138 & 2.35320949345747e-25 & 4.70641898691495e-25 & 1 \tabularnewline
139 & 1.32858061381005e-25 & 2.65716122762011e-25 & 1 \tabularnewline
140 & 8.24586052171259e-26 & 1.64917210434252e-25 & 1 \tabularnewline
141 & 6.20453465502463e-26 & 1.24090693100493e-25 & 1 \tabularnewline
142 & 3.96112237834035e-26 & 7.9222447566807e-26 & 1 \tabularnewline
143 & 1.91905913816997e-26 & 3.83811827633993e-26 & 1 \tabularnewline
144 & 9.9220515954603e-27 & 1.98441031909206e-26 & 1 \tabularnewline
145 & 5.22247634319329e-27 & 1.04449526863866e-26 & 1 \tabularnewline
146 & 4.92735882807208e-27 & 9.85471765614417e-27 & 1 \tabularnewline
147 & 5.25263016293115e-27 & 1.05052603258623e-26 & 1 \tabularnewline
148 & 2.51821617423596e-27 & 5.03643234847191e-27 & 1 \tabularnewline
149 & 1.5410846139172e-27 & 3.08216922783441e-27 & 1 \tabularnewline
150 & 8.45653850658455e-28 & 1.69130770131691e-27 & 1 \tabularnewline
151 & 5.53052640658716e-28 & 1.10610528131743e-27 & 1 \tabularnewline
152 & 4.00603346222148e-28 & 8.01206692444296e-28 & 1 \tabularnewline
153 & 3.12650426430406e-28 & 6.25300852860812e-28 & 1 \tabularnewline
154 & 2.23563418026331e-28 & 4.47126836052661e-28 & 1 \tabularnewline
155 & 1.2296290947301e-28 & 2.4592581894602e-28 & 1 \tabularnewline
156 & 8.46599801298709e-29 & 1.69319960259742e-28 & 1 \tabularnewline
157 & 7.33266883814418e-29 & 1.46653376762884e-28 & 1 \tabularnewline
158 & 1.02921550878884e-28 & 2.05843101757768e-28 & 1 \tabularnewline
159 & 7.9383317997304e-29 & 1.58766635994608e-28 & 1 \tabularnewline
160 & 4.57913436705192e-29 & 9.15826873410383e-29 & 1 \tabularnewline
161 & 3.50228109145939e-29 & 7.00456218291877e-29 & 1 \tabularnewline
162 & 3.89275348665037e-29 & 7.78550697330075e-29 & 1 \tabularnewline
163 & 7.76245200140157e-29 & 1.55249040028031e-28 & 1 \tabularnewline
164 & 1.97691052062241e-28 & 3.95382104124482e-28 & 1 \tabularnewline
165 & 1.29610601553726e-28 & 2.59221203107453e-28 & 1 \tabularnewline
166 & 9.55272820214227e-29 & 1.91054564042845e-28 & 1 \tabularnewline
167 & 7.32130070954033e-29 & 1.46426014190807e-28 & 1 \tabularnewline
168 & 7.03694175050689e-29 & 1.40738835010138e-28 & 1 \tabularnewline
169 & 8.58818398251095e-29 & 1.71763679650219e-28 & 1 \tabularnewline
170 & 1.42101852214951e-28 & 2.84203704429903e-28 & 1 \tabularnewline
171 & 1.41961220921862e-28 & 2.83922441843724e-28 & 1 \tabularnewline
172 & 8.74497165996752e-29 & 1.7489943319935e-28 & 1 \tabularnewline
173 & 5.77800053042854e-29 & 1.15560010608571e-28 & 1 \tabularnewline
174 & 4.30197690471111e-29 & 8.60395380942222e-29 & 1 \tabularnewline
175 & 3.36767573181201e-29 & 6.73535146362402e-29 & 1 \tabularnewline
176 & 2.73426113243514e-29 & 5.46852226487028e-29 & 1 \tabularnewline
177 & 2.58110920722914e-29 & 5.16221841445829e-29 & 1 \tabularnewline
178 & 1.9504250434838e-29 & 3.9008500869676e-29 & 1 \tabularnewline
179 & 1.52041189241331e-29 & 3.04082378482661e-29 & 1 \tabularnewline
180 & 1.30176294020489e-29 & 2.60352588040978e-29 & 1 \tabularnewline
181 & 1.15492702229603e-29 & 2.30985404459206e-29 & 1 \tabularnewline
182 & 1.9823447975963e-29 & 3.96468959519259e-29 & 1 \tabularnewline
183 & 4.12573892767857e-29 & 8.25147785535715e-29 & 1 \tabularnewline
184 & 8.83600923406947e-29 & 1.76720184681389e-28 & 1 \tabularnewline
185 & 2.37865344064264e-28 & 4.75730688128527e-28 & 1 \tabularnewline
186 & 6.15732961597949e-28 & 1.2314659231959e-27 & 1 \tabularnewline
187 & 4.32216713642725e-27 & 8.64433427285449e-27 & 1 \tabularnewline
188 & 5.72774156648059e-26 & 1.14554831329612e-25 & 1 \tabularnewline
189 & 4.85637823776525e-25 & 9.7127564755305e-25 & 1 \tabularnewline
190 & 3.19399652341108e-24 & 6.38799304682217e-24 & 1 \tabularnewline
191 & 1.35765504187077e-23 & 2.71531008374154e-23 & 1 \tabularnewline
192 & 5.09777567678985e-23 & 1.01955513535797e-22 & 1 \tabularnewline
193 & 1.76646499110811e-22 & 3.53292998221622e-22 & 1 \tabularnewline
194 & 8.4048690697276e-22 & 1.68097381394552e-21 & 1 \tabularnewline
195 & 3.9407522011188e-21 & 7.8815044022376e-21 & 1 \tabularnewline
196 & 1.02456800212923e-20 & 2.04913600425846e-20 & 1 \tabularnewline
197 & 2.60163820328393e-20 & 5.20327640656787e-20 & 1 \tabularnewline
198 & 7.34030438453311e-20 & 1.46806087690662e-19 & 1 \tabularnewline
199 & 2.18714466552543e-19 & 4.37428933105086e-19 & 1 \tabularnewline
200 & 2.25101665370615e-19 & 4.50203330741231e-19 & 1 \tabularnewline
201 & 2.36560507988994e-19 & 4.73121015977987e-19 & 1 \tabularnewline
202 & 2.28418044410534e-19 & 4.56836088821068e-19 & 1 \tabularnewline
203 & 2.27171699314332e-19 & 4.54343398628665e-19 & 1 \tabularnewline
204 & 2.5745765459136e-19 & 5.1491530918272e-19 & 1 \tabularnewline
205 & 3.32550198871559e-19 & 6.65100397743118e-19 & 1 \tabularnewline
206 & 2.43148032985216e-19 & 4.86296065970432e-19 & 1 \tabularnewline
207 & 6.79720334574604e-19 & 1.35944066914921e-18 & 1 \tabularnewline
208 & 1.67069898403335e-18 & 3.34139796806671e-18 & 1 \tabularnewline
209 & 3.55370883407797e-18 & 7.10741766815593e-18 & 1 \tabularnewline
210 & 7.01140217965975e-18 & 1.40228043593195e-17 & 1 \tabularnewline
211 & 4.63280608978017e-18 & 9.26561217956034e-18 & 1 \tabularnewline
212 & 1.62186461511402e-17 & 3.24372923022805e-17 & 1 \tabularnewline
213 & 1.49672472580245e-17 & 2.9934494516049e-17 & 1 \tabularnewline
214 & 1.36530664443726e-17 & 2.73061328887453e-17 & 1 \tabularnewline
215 & 1.32725711950792e-17 & 2.65451423901585e-17 & 1 \tabularnewline
216 & 1.23737799998731e-17 & 2.47475599997462e-17 & 1 \tabularnewline
217 & 1.41170878250955e-17 & 2.82341756501911e-17 & 1 \tabularnewline
218 & 1.18121231059929e-17 & 2.36242462119858e-17 & 1 \tabularnewline
219 & 8.56642283309771e-18 & 1.71328456661954e-17 & 1 \tabularnewline
220 & 6.16602717448985e-18 & 1.23320543489797e-17 & 1 \tabularnewline
221 & 4.3476714590312e-18 & 8.69534291806241e-18 & 1 \tabularnewline
222 & 3.09557093735769e-18 & 6.19114187471539e-18 & 1 \tabularnewline
223 & 2.23646150572715e-18 & 4.4729230114543e-18 & 1 \tabularnewline
224 & 2.21501643298984e-18 & 4.43003286597967e-18 & 1 \tabularnewline
225 & 2.1289741059359e-18 & 4.25794821187181e-18 & 1 \tabularnewline
226 & 1.76492685340881e-18 & 3.52985370681763e-18 & 1 \tabularnewline
227 & 1.26776010730962e-18 & 2.53552021461923e-18 & 1 \tabularnewline
228 & 7.97163649072542e-19 & 1.59432729814508e-18 & 1 \tabularnewline
229 & 4.82826509892158e-19 & 9.65653019784315e-19 & 1 \tabularnewline
230 & 2.65512821867804e-19 & 5.31025643735609e-19 & 1 \tabularnewline
231 & 1.40318041098197e-19 & 2.80636082196394e-19 & 1 \tabularnewline
232 & 7.98749970399396e-20 & 1.59749994079879e-19 & 1 \tabularnewline
233 & 4.00792470155972e-20 & 8.01584940311944e-20 & 1 \tabularnewline
234 & 2.03699819283656e-20 & 4.07399638567312e-20 & 1 \tabularnewline
235 & 1.02941108703715e-20 & 2.0588221740743e-20 & 1 \tabularnewline
236 & 3.16650555813874e-20 & 6.33301111627748e-20 & 1 \tabularnewline
237 & 2.11148704585541e-19 & 4.22297409171082e-19 & 1 \tabularnewline
238 & 2.22984544858352e-18 & 4.45969089716703e-18 & 1 \tabularnewline
239 & 3.54182226296097e-17 & 7.08364452592195e-17 & 1 \tabularnewline
240 & 8.22327739544789e-17 & 1.64465547908958e-16 & 1 \tabularnewline
241 & 9.65281342746952e-17 & 1.9305626854939e-16 & 1 \tabularnewline
242 & 5.48552833899274e-15 & 1.09710566779855e-14 & 0.999999999999995 \tabularnewline
243 & 1.61308403859098e-07 & 3.22616807718195e-07 & 0.999999838691596 \tabularnewline
244 & 2.45170154169379e-05 & 4.90340308338758e-05 & 0.999975482984583 \tabularnewline
245 & 0.0187573004122401 & 0.0375146008244801 & 0.98124269958776 \tabularnewline
246 & 0.20983587489144 & 0.41967174978288 & 0.79016412510856 \tabularnewline
247 & 0.195663779465483 & 0.391327558930967 & 0.804336220534517 \tabularnewline
248 & 0.188018933543194 & 0.376037867086389 & 0.811981066456806 \tabularnewline
249 & 0.19168862477177 & 0.383377249543539 & 0.80831137522823 \tabularnewline
250 & 0.187347457594967 & 0.374694915189933 & 0.812652542405033 \tabularnewline
251 & 0.190146179170258 & 0.380292358340516 & 0.809853820829742 \tabularnewline
252 & 0.173167692690694 & 0.346335385381388 & 0.826832307309306 \tabularnewline
253 & 0.16132907447756 & 0.32265814895512 & 0.83867092552244 \tabularnewline
254 & 0.179910292059459 & 0.359820584118918 & 0.820089707940541 \tabularnewline
255 & 0.160555491032871 & 0.321110982065741 & 0.839444508967129 \tabularnewline
256 & 0.143773428238157 & 0.287546856476314 & 0.856226571761843 \tabularnewline
257 & 0.128569348089322 & 0.257138696178645 & 0.871430651910678 \tabularnewline
258 & 0.11278453155204 & 0.22556906310408 & 0.88721546844796 \tabularnewline
259 & 0.0978882154736861 & 0.195776430947372 & 0.902111784526314 \tabularnewline
260 & 0.0843721527420185 & 0.168744305484037 & 0.915627847257982 \tabularnewline
261 & 0.0738250690695653 & 0.147650138139131 & 0.926174930930435 \tabularnewline
262 & 0.0632648095785243 & 0.126529619157049 & 0.936735190421476 \tabularnewline
263 & 0.0555095987167443 & 0.111019197433489 & 0.944490401283256 \tabularnewline
264 & 0.05067433071542 & 0.10134866143084 & 0.94932566928458 \tabularnewline
265 & 0.0457536691774225 & 0.091507338354845 & 0.954246330822577 \tabularnewline
266 & 0.0398018303749105 & 0.079603660749821 & 0.96019816962509 \tabularnewline
267 & 0.0341439125428215 & 0.068287825085643 & 0.965856087457179 \tabularnewline
268 & 0.0289290042549462 & 0.0578580085098924 & 0.971070995745054 \tabularnewline
269 & 0.0240230976290579 & 0.0480461952581158 & 0.975976902370942 \tabularnewline
270 & 0.0202982708642743 & 0.0405965417285487 & 0.979701729135726 \tabularnewline
271 & 0.0168775753447426 & 0.0337551506894851 & 0.983122424655257 \tabularnewline
272 & 0.0143622728631431 & 0.0287245457262861 & 0.985637727136857 \tabularnewline
273 & 0.0128711359506614 & 0.0257422719013229 & 0.987128864049339 \tabularnewline
274 & 0.0126891901001583 & 0.0253783802003165 & 0.987310809899842 \tabularnewline
275 & 0.0104910056217683 & 0.0209820112435367 & 0.989508994378232 \tabularnewline
276 & 0.011889129219281 & 0.023778258438562 & 0.988110870780719 \tabularnewline
277 & 0.00957882306969249 & 0.019157646139385 & 0.990421176930308 \tabularnewline
278 & 0.00968924270842736 & 0.0193784854168547 & 0.990310757291573 \tabularnewline
279 & 0.00907135969393237 & 0.0181427193878647 & 0.990928640306068 \tabularnewline
280 & 0.00938904612780438 & 0.0187780922556088 & 0.990610953872196 \tabularnewline
281 & 0.00954326164909346 & 0.0190865232981869 & 0.990456738350907 \tabularnewline
282 & 0.0103272919649387 & 0.0206545839298775 & 0.989672708035061 \tabularnewline
283 & 0.011970637148511 & 0.0239412742970221 & 0.988029362851489 \tabularnewline
284 & 0.0177195722713715 & 0.0354391445427429 & 0.982280427728629 \tabularnewline
285 & 0.021373847958255 & 0.0427476959165101 & 0.978626152041745 \tabularnewline
286 & 0.023700378311233 & 0.047400756622466 & 0.976299621688767 \tabularnewline
287 & 0.0222257142382003 & 0.0444514284764005 & 0.9777742857618 \tabularnewline
288 & 0.0208682266569372 & 0.0417364533138744 & 0.979131773343063 \tabularnewline
289 & 0.0224202425746414 & 0.0448404851492827 & 0.977579757425359 \tabularnewline
290 & 0.0321234517277687 & 0.0642469034555373 & 0.967876548272231 \tabularnewline
291 & 0.0439136534178942 & 0.0878273068357884 & 0.956086346582106 \tabularnewline
292 & 0.0444471069792839 & 0.0888942139585678 & 0.955552893020716 \tabularnewline
293 & 0.0393231296074399 & 0.0786462592148797 & 0.96067687039256 \tabularnewline
294 & 0.0564078691121298 & 0.11281573822426 & 0.94359213088787 \tabularnewline
295 & 0.0698825268719949 & 0.13976505374399 & 0.930117473128005 \tabularnewline
296 & 0.0757654619046054 & 0.151530923809211 & 0.924234538095395 \tabularnewline
297 & 0.0771089781711585 & 0.154217956342317 & 0.922891021828842 \tabularnewline
298 & 0.0936114853759303 & 0.187222970751861 & 0.90638851462407 \tabularnewline
299 & 0.0974564586028769 & 0.194912917205754 & 0.902543541397123 \tabularnewline
300 & 0.0941125867028483 & 0.188225173405697 & 0.905887413297152 \tabularnewline
301 & 0.0889180768338027 & 0.177836153667605 & 0.911081923166197 \tabularnewline
302 & 0.0876042140434959 & 0.175208428086992 & 0.912395785956504 \tabularnewline
303 & 0.0763647124429419 & 0.152729424885884 & 0.923635287557058 \tabularnewline
304 & 0.0662086404693177 & 0.132417280938635 & 0.933791359530682 \tabularnewline
305 & 0.0670515360507744 & 0.134103072101549 & 0.932948463949226 \tabularnewline
306 & 0.0653723950110143 & 0.130744790022029 & 0.934627604988986 \tabularnewline
307 & 0.0881873189856443 & 0.176374637971289 & 0.911812681014356 \tabularnewline
308 & 0.113389036254312 & 0.226778072508624 & 0.886610963745688 \tabularnewline
309 & 0.118748040899789 & 0.237496081799579 & 0.88125195910021 \tabularnewline
310 & 0.116418720396088 & 0.232837440792177 & 0.883581279603912 \tabularnewline
311 & 0.107632546118878 & 0.215265092237756 & 0.892367453881122 \tabularnewline
312 & 0.111432737410929 & 0.222865474821858 & 0.888567262589071 \tabularnewline
313 & 0.134589543937483 & 0.269179087874966 & 0.865410456062517 \tabularnewline
314 & 0.148375347608739 & 0.296750695217479 & 0.851624652391261 \tabularnewline
315 & 0.186850591326194 & 0.373701182652388 & 0.813149408673806 \tabularnewline
316 & 0.2478726076232 & 0.4957452152464 & 0.7521273923768 \tabularnewline
317 & 0.275635751779554 & 0.551271503559109 & 0.724364248220446 \tabularnewline
318 & 0.337513212296605 & 0.67502642459321 & 0.662486787703395 \tabularnewline
319 & 0.377603622467314 & 0.755207244934627 & 0.622396377532686 \tabularnewline
320 & 0.44384847912504 & 0.887696958250079 & 0.55615152087496 \tabularnewline
321 & 0.514880531265645 & 0.97023893746871 & 0.485119468734355 \tabularnewline
322 & 0.55856424571529 & 0.882871508569419 & 0.44143575428471 \tabularnewline
323 & 0.58306378717336 & 0.83387242565328 & 0.41693621282664 \tabularnewline
324 & 0.648581011614463 & 0.702837976771073 & 0.351418988385537 \tabularnewline
325 & 0.66643817847003 & 0.667123643059941 & 0.33356182152997 \tabularnewline
326 & 0.676631104584771 & 0.646737790830457 & 0.323368895415229 \tabularnewline
327 & 0.699962311174472 & 0.600075377651056 & 0.300037688825528 \tabularnewline
328 & 0.742753073731445 & 0.51449385253711 & 0.257246926268555 \tabularnewline
329 & 0.757345995489868 & 0.485308009020264 & 0.242654004510132 \tabularnewline
330 & 0.728878680612857 & 0.542242638774286 & 0.271121319387143 \tabularnewline
331 & 0.816448762357707 & 0.367102475284586 & 0.183551237642293 \tabularnewline
332 & 0.902316753968876 & 0.195366492062248 & 0.0976832460311242 \tabularnewline
333 & 0.937765832386458 & 0.124468335227084 & 0.0622341676135421 \tabularnewline
334 & 0.978496347945907 & 0.0430073041081865 & 0.0215036520540933 \tabularnewline
335 & 0.991524131983048 & 0.0169517360339044 & 0.00847586801695222 \tabularnewline
336 & 0.995650311429613 & 0.00869937714077404 & 0.00434968857038702 \tabularnewline
337 & 0.997396485687522 & 0.00520702862495556 & 0.00260351431247778 \tabularnewline
338 & 0.996231753949553 & 0.00753649210089474 & 0.00376824605044737 \tabularnewline
339 & 0.997134943411415 & 0.00573011317717012 & 0.00286505658858506 \tabularnewline
340 & 0.997553070774369 & 0.00489385845126122 & 0.00244692922563061 \tabularnewline
341 & 0.997801042550763 & 0.00439791489847396 & 0.00219895744923698 \tabularnewline
342 & 0.996796029616424 & 0.00640794076715176 & 0.00320397038357588 \tabularnewline
343 & 0.994911663740349 & 0.0101766725193012 & 0.00508833625965059 \tabularnewline
344 & 0.990745631532449 & 0.0185087369351027 & 0.00925436846755137 \tabularnewline
345 & 0.990839999708905 & 0.0183200005821906 & 0.00916000029109531 \tabularnewline
346 & 0.983756483684765 & 0.0324870326304699 & 0.0162435163152349 \tabularnewline
347 & 0.970390240569008 & 0.0592195188619832 & 0.0296097594309916 \tabularnewline
348 & 0.948054027359963 & 0.103891945280073 & 0.0519459726400366 \tabularnewline
349 & 0.97832864227122 & 0.0433427154575596 & 0.0216713577287798 \tabularnewline
350 & 0.970151882869641 & 0.0596962342607178 & 0.0298481171303589 \tabularnewline
351 & 0.942452475161496 & 0.115095049677008 & 0.0575475248385042 \tabularnewline
352 & 0.902069523648713 & 0.195860952702575 & 0.0979304763512873 \tabularnewline
353 & 0.881096342695719 & 0.237807314608563 & 0.118903657304281 \tabularnewline
354 & 0.836212281783212 & 0.327575436433576 & 0.163787718216788 \tabularnewline
355 & 0.784012621117498 & 0.431974757765003 & 0.215987378882502 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=147097&T=5

[TABLE]
[ROW][C]Goldfeld-Quandt test for Heteroskedasticity[/C][/ROW]
[ROW][C]p-values[/C][C]Alternative Hypothesis[/C][/ROW]
[ROW][C]breakpoint index[/C][C]greater[/C][C]2-sided[/C][C]less[/C][/ROW]
[ROW][C]5[/C][C]1.29941878344513e-05[/C][C]2.59883756689027e-05[/C][C]0.999987005812166[/C][/ROW]
[ROW][C]6[/C][C]0.000143180430600073[/C][C]0.000286360861200146[/C][C]0.9998568195694[/C][/ROW]
[ROW][C]7[/C][C]2.36919341337914e-05[/C][C]4.73838682675829e-05[/C][C]0.999976308065866[/C][/ROW]
[ROW][C]8[/C][C]2.58965605849749e-06[/C][C]5.17931211699498e-06[/C][C]0.999997410343942[/C][/ROW]
[ROW][C]9[/C][C]2.1329277460913e-07[/C][C]4.2658554921826e-07[/C][C]0.999999786707225[/C][/ROW]
[ROW][C]10[/C][C]1.69257644071491e-08[/C][C]3.38515288142983e-08[/C][C]0.999999983074236[/C][/ROW]
[ROW][C]11[/C][C]1.38032082903065e-09[/C][C]2.76064165806129e-09[/C][C]0.999999998619679[/C][/ROW]
[ROW][C]12[/C][C]1.44573724243864e-10[/C][C]2.89147448487729e-10[/C][C]0.999999999855426[/C][/ROW]
[ROW][C]13[/C][C]2.68675055854209e-11[/C][C]5.37350111708417e-11[/C][C]0.999999999973132[/C][/ROW]
[ROW][C]14[/C][C]5.17530806162707e-12[/C][C]1.03506161232541e-11[/C][C]0.999999999994825[/C][/ROW]
[ROW][C]15[/C][C]1.30755793163231e-12[/C][C]2.61511586326461e-12[/C][C]0.999999999998692[/C][/ROW]
[ROW][C]16[/C][C]2.97289735934975e-13[/C][C]5.9457947186995e-13[/C][C]0.999999999999703[/C][/ROW]
[ROW][C]17[/C][C]7.19979397546308e-14[/C][C]1.43995879509262e-13[/C][C]0.999999999999928[/C][/ROW]
[ROW][C]18[/C][C]1.6094838240232e-14[/C][C]3.21896764804641e-14[/C][C]0.999999999999984[/C][/ROW]
[ROW][C]19[/C][C]3.5354564170284e-15[/C][C]7.0709128340568e-15[/C][C]0.999999999999996[/C][/ROW]
[ROW][C]20[/C][C]5.83398720889213e-16[/C][C]1.16679744177843e-15[/C][C]0.999999999999999[/C][/ROW]
[ROW][C]21[/C][C]1.1900989476274e-16[/C][C]2.38019789525481e-16[/C][C]1[/C][/ROW]
[ROW][C]22[/C][C]4.89991142365545e-17[/C][C]9.79982284731091e-17[/C][C]1[/C][/ROW]
[ROW][C]23[/C][C]3.42934913675758e-17[/C][C]6.85869827351517e-17[/C][C]1[/C][/ROW]
[ROW][C]24[/C][C]3.05543467103162e-17[/C][C]6.11086934206324e-17[/C][C]1[/C][/ROW]
[ROW][C]25[/C][C]2.61107438813856e-17[/C][C]5.22214877627713e-17[/C][C]1[/C][/ROW]
[ROW][C]26[/C][C]5.53463311059088e-17[/C][C]1.10692662211818e-16[/C][C]1[/C][/ROW]
[ROW][C]27[/C][C]1.73005248558066e-12[/C][C]3.46010497116133e-12[/C][C]0.99999999999827[/C][/ROW]
[ROW][C]28[/C][C]7.88324266244395e-11[/C][C]1.57664853248879e-10[/C][C]0.999999999921168[/C][/ROW]
[ROW][C]29[/C][C]2.32564461570791e-10[/C][C]4.65128923141582e-10[/C][C]0.999999999767436[/C][/ROW]
[ROW][C]30[/C][C]1.27998725936091e-10[/C][C]2.55997451872182e-10[/C][C]0.999999999872001[/C][/ROW]
[ROW][C]31[/C][C]7.17068188464251e-11[/C][C]1.4341363769285e-10[/C][C]0.999999999928293[/C][/ROW]
[ROW][C]32[/C][C]4.75494811545497e-11[/C][C]9.50989623090995e-11[/C][C]0.99999999995245[/C][/ROW]
[ROW][C]33[/C][C]1.72152190480163e-11[/C][C]3.44304380960325e-11[/C][C]0.999999999982785[/C][/ROW]
[ROW][C]34[/C][C]5.45278301266061e-12[/C][C]1.09055660253212e-11[/C][C]0.999999999994547[/C][/ROW]
[ROW][C]35[/C][C]1.60502801827609e-12[/C][C]3.21005603655217e-12[/C][C]0.999999999998395[/C][/ROW]
[ROW][C]36[/C][C]4.56882831220842e-13[/C][C]9.13765662441685e-13[/C][C]0.999999999999543[/C][/ROW]
[ROW][C]37[/C][C]1.33393823256289e-13[/C][C]2.66787646512577e-13[/C][C]0.999999999999867[/C][/ROW]
[ROW][C]38[/C][C]3.70631295618003e-14[/C][C]7.41262591236007e-14[/C][C]0.999999999999963[/C][/ROW]
[ROW][C]39[/C][C]1.01360348799786e-14[/C][C]2.02720697599572e-14[/C][C]0.99999999999999[/C][/ROW]
[ROW][C]40[/C][C]3.70267648303788e-15[/C][C]7.40535296607577e-15[/C][C]0.999999999999996[/C][/ROW]
[ROW][C]41[/C][C]1.08311183921413e-15[/C][C]2.16622367842825e-15[/C][C]0.999999999999999[/C][/ROW]
[ROW][C]42[/C][C]2.91236157400289e-16[/C][C]5.82472314800578e-16[/C][C]1[/C][/ROW]
[ROW][C]43[/C][C]7.78734103643558e-17[/C][C]1.55746820728712e-16[/C][C]1[/C][/ROW]
[ROW][C]44[/C][C]2.14686433764063e-17[/C][C]4.29372867528126e-17[/C][C]1[/C][/ROW]
[ROW][C]45[/C][C]5.73668036135198e-18[/C][C]1.1473360722704e-17[/C][C]1[/C][/ROW]
[ROW][C]46[/C][C]1.58913998822696e-18[/C][C]3.17827997645392e-18[/C][C]1[/C][/ROW]
[ROW][C]47[/C][C]4.25309416541259e-19[/C][C]8.50618833082518e-19[/C][C]1[/C][/ROW]
[ROW][C]48[/C][C]1.46622941754598e-19[/C][C]2.93245883509195e-19[/C][C]1[/C][/ROW]
[ROW][C]49[/C][C]4.88127785950622e-20[/C][C]9.76255571901243e-20[/C][C]1[/C][/ROW]
[ROW][C]50[/C][C]1.87587718126349e-20[/C][C]3.75175436252699e-20[/C][C]1[/C][/ROW]
[ROW][C]51[/C][C]6.66246932913834e-21[/C][C]1.33249386582767e-20[/C][C]1[/C][/ROW]
[ROW][C]52[/C][C]2.12640158452379e-21[/C][C]4.25280316904758e-21[/C][C]1[/C][/ROW]
[ROW][C]53[/C][C]6.28972478266125e-22[/C][C]1.25794495653225e-21[/C][C]1[/C][/ROW]
[ROW][C]54[/C][C]1.71885564433284e-22[/C][C]3.43771128866567e-22[/C][C]1[/C][/ROW]
[ROW][C]55[/C][C]4.73969393608834e-23[/C][C]9.47938787217668e-23[/C][C]1[/C][/ROW]
[ROW][C]56[/C][C]1.3781224141252e-23[/C][C]2.75624482825041e-23[/C][C]1[/C][/ROW]
[ROW][C]57[/C][C]4.46086511856492e-24[/C][C]8.92173023712983e-24[/C][C]1[/C][/ROW]
[ROW][C]58[/C][C]1.43724084713308e-24[/C][C]2.87448169426616e-24[/C][C]1[/C][/ROW]
[ROW][C]59[/C][C]9.85965664817314e-25[/C][C]1.97193132963463e-24[/C][C]1[/C][/ROW]
[ROW][C]60[/C][C]3.72194725217668e-25[/C][C]7.44389450435336e-25[/C][C]1[/C][/ROW]
[ROW][C]61[/C][C]1.17005830991203e-25[/C][C]2.34011661982406e-25[/C][C]1[/C][/ROW]
[ROW][C]62[/C][C]3.20361553677902e-26[/C][C]6.40723107355803e-26[/C][C]1[/C][/ROW]
[ROW][C]63[/C][C]1.21179469805406e-26[/C][C]2.42358939610812e-26[/C][C]1[/C][/ROW]
[ROW][C]64[/C][C]4.44311043775064e-27[/C][C]8.88622087550127e-27[/C][C]1[/C][/ROW]
[ROW][C]65[/C][C]1.32318036904546e-27[/C][C]2.64636073809091e-27[/C][C]1[/C][/ROW]
[ROW][C]66[/C][C]3.65416882983132e-28[/C][C]7.30833765966263e-28[/C][C]1[/C][/ROW]
[ROW][C]67[/C][C]1.01488817244044e-28[/C][C]2.02977634488088e-28[/C][C]1[/C][/ROW]
[ROW][C]68[/C][C]3.07743892099036e-29[/C][C]6.15487784198072e-29[/C][C]1[/C][/ROW]
[ROW][C]69[/C][C]1.07141543261453e-29[/C][C]2.14283086522907e-29[/C][C]1[/C][/ROW]
[ROW][C]70[/C][C]6.86802479867522e-30[/C][C]1.37360495973504e-29[/C][C]1[/C][/ROW]
[ROW][C]71[/C][C]2.65044500099644e-30[/C][C]5.30089000199289e-30[/C][C]1[/C][/ROW]
[ROW][C]72[/C][C]7.94336421958267e-31[/C][C]1.58867284391653e-30[/C][C]1[/C][/ROW]
[ROW][C]73[/C][C]2.36529021395441e-31[/C][C]4.73058042790883e-31[/C][C]1[/C][/ROW]
[ROW][C]74[/C][C]8.49945493798663e-32[/C][C]1.69989098759733e-31[/C][C]1[/C][/ROW]
[ROW][C]75[/C][C]4.5676356168241e-32[/C][C]9.13527123364819e-32[/C][C]1[/C][/ROW]
[ROW][C]76[/C][C]1.49986889515396e-32[/C][C]2.99973779030792e-32[/C][C]1[/C][/ROW]
[ROW][C]77[/C][C]5.17458462561054e-33[/C][C]1.03491692512211e-32[/C][C]1[/C][/ROW]
[ROW][C]78[/C][C]2.40552776981567e-33[/C][C]4.81105553963134e-33[/C][C]1[/C][/ROW]
[ROW][C]79[/C][C]1.69171862254055e-33[/C][C]3.3834372450811e-33[/C][C]1[/C][/ROW]
[ROW][C]80[/C][C]2.41519582888393e-33[/C][C]4.83039165776785e-33[/C][C]1[/C][/ROW]
[ROW][C]81[/C][C]1.08553351132594e-33[/C][C]2.17106702265188e-33[/C][C]1[/C][/ROW]
[ROW][C]82[/C][C]4.38915522021091e-34[/C][C]8.77831044042181e-34[/C][C]1[/C][/ROW]
[ROW][C]83[/C][C]2.00238451672385e-34[/C][C]4.00476903344771e-34[/C][C]1[/C][/ROW]
[ROW][C]84[/C][C]1.34797521680756e-34[/C][C]2.69595043361511e-34[/C][C]1[/C][/ROW]
[ROW][C]85[/C][C]1.16301890387664e-34[/C][C]2.32603780775327e-34[/C][C]1[/C][/ROW]
[ROW][C]86[/C][C]2.51900688145768e-34[/C][C]5.03801376291537e-34[/C][C]1[/C][/ROW]
[ROW][C]87[/C][C]7.29898187546968e-34[/C][C]1.45979637509394e-33[/C][C]1[/C][/ROW]
[ROW][C]88[/C][C]1.93422121376651e-33[/C][C]3.86844242753303e-33[/C][C]1[/C][/ROW]
[ROW][C]89[/C][C]5.74751339041304e-33[/C][C]1.14950267808261e-32[/C][C]1[/C][/ROW]
[ROW][C]90[/C][C]2.59626309246566e-32[/C][C]5.19252618493133e-32[/C][C]1[/C][/ROW]
[ROW][C]91[/C][C]2.98040619180214e-31[/C][C]5.96081238360429e-31[/C][C]1[/C][/ROW]
[ROW][C]92[/C][C]9.88096242669181e-31[/C][C]1.97619248533836e-30[/C][C]1[/C][/ROW]
[ROW][C]93[/C][C]2.30447689954912e-30[/C][C]4.60895379909825e-30[/C][C]1[/C][/ROW]
[ROW][C]94[/C][C]1.00408521574613e-29[/C][C]2.00817043149227e-29[/C][C]1[/C][/ROW]
[ROW][C]95[/C][C]5.02139449242946e-29[/C][C]1.00427889848589e-28[/C][C]1[/C][/ROW]
[ROW][C]96[/C][C]1.50371628185907e-28[/C][C]3.00743256371814e-28[/C][C]1[/C][/ROW]
[ROW][C]97[/C][C]7.63700062421589e-28[/C][C]1.52740012484318e-27[/C][C]1[/C][/ROW]
[ROW][C]98[/C][C]8.43759549790577e-27[/C][C]1.68751909958115e-26[/C][C]1[/C][/ROW]
[ROW][C]99[/C][C]3.57612994200164e-26[/C][C]7.15225988400329e-26[/C][C]1[/C][/ROW]
[ROW][C]100[/C][C]5.36993799716378e-25[/C][C]1.07398759943276e-24[/C][C]1[/C][/ROW]
[ROW][C]101[/C][C]2.17117604092752e-23[/C][C]4.34235208185504e-23[/C][C]1[/C][/ROW]
[ROW][C]102[/C][C]2.35406468114602e-22[/C][C]4.70812936229204e-22[/C][C]1[/C][/ROW]
[ROW][C]103[/C][C]4.4980910384152e-21[/C][C]8.99618207683039e-21[/C][C]1[/C][/ROW]
[ROW][C]104[/C][C]8.64807609887725e-20[/C][C]1.72961521977545e-19[/C][C]1[/C][/ROW]
[ROW][C]105[/C][C]5.36019387342952e-19[/C][C]1.0720387746859e-18[/C][C]1[/C][/ROW]
[ROW][C]106[/C][C]5.20491067158367e-18[/C][C]1.04098213431673e-17[/C][C]1[/C][/ROW]
[ROW][C]107[/C][C]1.40255548354372e-17[/C][C]2.80511096708744e-17[/C][C]1[/C][/ROW]
[ROW][C]108[/C][C]2.71047559243556e-17[/C][C]5.42095118487112e-17[/C][C]1[/C][/ROW]
[ROW][C]109[/C][C]2.76512802819593e-17[/C][C]5.53025605639186e-17[/C][C]1[/C][/ROW]
[ROW][C]110[/C][C]4.40736877039027e-17[/C][C]8.81473754078055e-17[/C][C]1[/C][/ROW]
[ROW][C]111[/C][C]2.1529422267099e-17[/C][C]4.3058844534198e-17[/C][C]1[/C][/ROW]
[ROW][C]112[/C][C]1.12241115967209e-17[/C][C]2.24482231934419e-17[/C][C]1[/C][/ROW]
[ROW][C]113[/C][C]6.42338532584272e-18[/C][C]1.28467706516854e-17[/C][C]1[/C][/ROW]
[ROW][C]114[/C][C]3.41534702808507e-18[/C][C]6.83069405617013e-18[/C][C]1[/C][/ROW]
[ROW][C]115[/C][C]1.71243579078091e-18[/C][C]3.42487158156183e-18[/C][C]1[/C][/ROW]
[ROW][C]116[/C][C]8.75467992672767e-19[/C][C]1.75093598534553e-18[/C][C]1[/C][/ROW]
[ROW][C]117[/C][C]5.03949968197434e-19[/C][C]1.00789993639487e-18[/C][C]1[/C][/ROW]
[ROW][C]118[/C][C]2.65430717899969e-19[/C][C]5.30861435799938e-19[/C][C]1[/C][/ROW]
[ROW][C]119[/C][C]1.44118579726116e-19[/C][C]2.88237159452231e-19[/C][C]1[/C][/ROW]
[ROW][C]120[/C][C]6.86190421610542e-20[/C][C]1.37238084322108e-19[/C][C]1[/C][/ROW]
[ROW][C]121[/C][C]3.11059682526997e-20[/C][C]6.22119365053993e-20[/C][C]1[/C][/ROW]
[ROW][C]122[/C][C]1.41740354557897e-20[/C][C]2.83480709115795e-20[/C][C]1[/C][/ROW]
[ROW][C]123[/C][C]6.42578061061929e-21[/C][C]1.28515612212386e-20[/C][C]1[/C][/ROW]
[ROW][C]124[/C][C]2.98891106908938e-21[/C][C]5.97782213817876e-21[/C][C]1[/C][/ROW]
[ROW][C]125[/C][C]1.44369831893295e-21[/C][C]2.88739663786591e-21[/C][C]1[/C][/ROW]
[ROW][C]126[/C][C]6.93334193973145e-22[/C][C]1.38666838794629e-21[/C][C]1[/C][/ROW]
[ROW][C]127[/C][C]3.40484433691285e-22[/C][C]6.80968867382569e-22[/C][C]1[/C][/ROW]
[ROW][C]128[/C][C]1.74476127058891e-22[/C][C]3.48952254117783e-22[/C][C]1[/C][/ROW]
[ROW][C]129[/C][C]9.21647330383214e-23[/C][C]1.84329466076643e-22[/C][C]1[/C][/ROW]
[ROW][C]130[/C][C]4.60078650430022e-23[/C][C]9.20157300860044e-23[/C][C]1[/C][/ROW]
[ROW][C]131[/C][C]2.48637207170773e-23[/C][C]4.97274414341546e-23[/C][C]1[/C][/ROW]
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[ROW][C]133[/C][C]6.70811707304676e-24[/C][C]1.34162341460935e-23[/C][C]1[/C][/ROW]
[ROW][C]134[/C][C]3.47571098442918e-24[/C][C]6.95142196885835e-24[/C][C]1[/C][/ROW]
[ROW][C]135[/C][C]1.83730025961789e-24[/C][C]3.67460051923579e-24[/C][C]1[/C][/ROW]
[ROW][C]136[/C][C]9.15958616788438e-25[/C][C]1.83191723357688e-24[/C][C]1[/C][/ROW]
[ROW][C]137[/C][C]4.59742416342146e-25[/C][C]9.19484832684293e-25[/C][C]1[/C][/ROW]
[ROW][C]138[/C][C]2.35320949345747e-25[/C][C]4.70641898691495e-25[/C][C]1[/C][/ROW]
[ROW][C]139[/C][C]1.32858061381005e-25[/C][C]2.65716122762011e-25[/C][C]1[/C][/ROW]
[ROW][C]140[/C][C]8.24586052171259e-26[/C][C]1.64917210434252e-25[/C][C]1[/C][/ROW]
[ROW][C]141[/C][C]6.20453465502463e-26[/C][C]1.24090693100493e-25[/C][C]1[/C][/ROW]
[ROW][C]142[/C][C]3.96112237834035e-26[/C][C]7.9222447566807e-26[/C][C]1[/C][/ROW]
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[ROW][C]144[/C][C]9.9220515954603e-27[/C][C]1.98441031909206e-26[/C][C]1[/C][/ROW]
[ROW][C]145[/C][C]5.22247634319329e-27[/C][C]1.04449526863866e-26[/C][C]1[/C][/ROW]
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[ROW][C]155[/C][C]1.2296290947301e-28[/C][C]2.4592581894602e-28[/C][C]1[/C][/ROW]
[ROW][C]156[/C][C]8.46599801298709e-29[/C][C]1.69319960259742e-28[/C][C]1[/C][/ROW]
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[ROW][C]166[/C][C]9.55272820214227e-29[/C][C]1.91054564042845e-28[/C][C]1[/C][/ROW]
[ROW][C]167[/C][C]7.32130070954033e-29[/C][C]1.46426014190807e-28[/C][C]1[/C][/ROW]
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[ROW][C]169[/C][C]8.58818398251095e-29[/C][C]1.71763679650219e-28[/C][C]1[/C][/ROW]
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[ROW][C]171[/C][C]1.41961220921862e-28[/C][C]2.83922441843724e-28[/C][C]1[/C][/ROW]
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[ROW][C]175[/C][C]3.36767573181201e-29[/C][C]6.73535146362402e-29[/C][C]1[/C][/ROW]
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[ROW][C]179[/C][C]1.52041189241331e-29[/C][C]3.04082378482661e-29[/C][C]1[/C][/ROW]
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[ROW][C]181[/C][C]1.15492702229603e-29[/C][C]2.30985404459206e-29[/C][C]1[/C][/ROW]
[ROW][C]182[/C][C]1.9823447975963e-29[/C][C]3.96468959519259e-29[/C][C]1[/C][/ROW]
[ROW][C]183[/C][C]4.12573892767857e-29[/C][C]8.25147785535715e-29[/C][C]1[/C][/ROW]
[ROW][C]184[/C][C]8.83600923406947e-29[/C][C]1.76720184681389e-28[/C][C]1[/C][/ROW]
[ROW][C]185[/C][C]2.37865344064264e-28[/C][C]4.75730688128527e-28[/C][C]1[/C][/ROW]
[ROW][C]186[/C][C]6.15732961597949e-28[/C][C]1.2314659231959e-27[/C][C]1[/C][/ROW]
[ROW][C]187[/C][C]4.32216713642725e-27[/C][C]8.64433427285449e-27[/C][C]1[/C][/ROW]
[ROW][C]188[/C][C]5.72774156648059e-26[/C][C]1.14554831329612e-25[/C][C]1[/C][/ROW]
[ROW][C]189[/C][C]4.85637823776525e-25[/C][C]9.7127564755305e-25[/C][C]1[/C][/ROW]
[ROW][C]190[/C][C]3.19399652341108e-24[/C][C]6.38799304682217e-24[/C][C]1[/C][/ROW]
[ROW][C]191[/C][C]1.35765504187077e-23[/C][C]2.71531008374154e-23[/C][C]1[/C][/ROW]
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[ROW][C]340[/C][C]0.997553070774369[/C][C]0.00489385845126122[/C][C]0.00244692922563061[/C][/ROW]
[ROW][C]341[/C][C]0.997801042550763[/C][C]0.00439791489847396[/C][C]0.00219895744923698[/C][/ROW]
[ROW][C]342[/C][C]0.996796029616424[/C][C]0.00640794076715176[/C][C]0.00320397038357588[/C][/ROW]
[ROW][C]343[/C][C]0.994911663740349[/C][C]0.0101766725193012[/C][C]0.00508833625965059[/C][/ROW]
[ROW][C]344[/C][C]0.990745631532449[/C][C]0.0185087369351027[/C][C]0.00925436846755137[/C][/ROW]
[ROW][C]345[/C][C]0.990839999708905[/C][C]0.0183200005821906[/C][C]0.00916000029109531[/C][/ROW]
[ROW][C]346[/C][C]0.983756483684765[/C][C]0.0324870326304699[/C][C]0.0162435163152349[/C][/ROW]
[ROW][C]347[/C][C]0.970390240569008[/C][C]0.0592195188619832[/C][C]0.0296097594309916[/C][/ROW]
[ROW][C]348[/C][C]0.948054027359963[/C][C]0.103891945280073[/C][C]0.0519459726400366[/C][/ROW]
[ROW][C]349[/C][C]0.97832864227122[/C][C]0.0433427154575596[/C][C]0.0216713577287798[/C][/ROW]
[ROW][C]350[/C][C]0.970151882869641[/C][C]0.0596962342607178[/C][C]0.0298481171303589[/C][/ROW]
[ROW][C]351[/C][C]0.942452475161496[/C][C]0.115095049677008[/C][C]0.0575475248385042[/C][/ROW]
[ROW][C]352[/C][C]0.902069523648713[/C][C]0.195860952702575[/C][C]0.0979304763512873[/C][/ROW]
[ROW][C]353[/C][C]0.881096342695719[/C][C]0.237807314608563[/C][C]0.118903657304281[/C][/ROW]
[ROW][C]354[/C][C]0.836212281783212[/C][C]0.327575436433576[/C][C]0.163787718216788[/C][/ROW]
[ROW][C]355[/C][C]0.784012621117498[/C][C]0.431974757765003[/C][C]0.215987378882502[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=147097&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=147097&T=5

As an alternative you can also use a QR Code:  

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

Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
51.29941878344513e-052.59883756689027e-050.999987005812166
60.0001431804306000730.0002863608612001460.9998568195694
72.36919341337914e-054.73838682675829e-050.999976308065866
82.58965605849749e-065.17931211699498e-060.999997410343942
92.1329277460913e-074.2658554921826e-070.999999786707225
101.69257644071491e-083.38515288142983e-080.999999983074236
111.38032082903065e-092.76064165806129e-090.999999998619679
121.44573724243864e-102.89147448487729e-100.999999999855426
132.68675055854209e-115.37350111708417e-110.999999999973132
145.17530806162707e-121.03506161232541e-110.999999999994825
151.30755793163231e-122.61511586326461e-120.999999999998692
162.97289735934975e-135.9457947186995e-130.999999999999703
177.19979397546308e-141.43995879509262e-130.999999999999928
181.6094838240232e-143.21896764804641e-140.999999999999984
193.5354564170284e-157.0709128340568e-150.999999999999996
205.83398720889213e-161.16679744177843e-150.999999999999999
211.1900989476274e-162.38019789525481e-161
224.89991142365545e-179.79982284731091e-171
233.42934913675758e-176.85869827351517e-171
243.05543467103162e-176.11086934206324e-171
252.61107438813856e-175.22214877627713e-171
265.53463311059088e-171.10692662211818e-161
271.73005248558066e-123.46010497116133e-120.99999999999827
287.88324266244395e-111.57664853248879e-100.999999999921168
292.32564461570791e-104.65128923141582e-100.999999999767436
301.27998725936091e-102.55997451872182e-100.999999999872001
317.17068188464251e-111.4341363769285e-100.999999999928293
324.75494811545497e-119.50989623090995e-110.99999999995245
331.72152190480163e-113.44304380960325e-110.999999999982785
345.45278301266061e-121.09055660253212e-110.999999999994547
351.60502801827609e-123.21005603655217e-120.999999999998395
364.56882831220842e-139.13765662441685e-130.999999999999543
371.33393823256289e-132.66787646512577e-130.999999999999867
383.70631295618003e-147.41262591236007e-140.999999999999963
391.01360348799786e-142.02720697599572e-140.99999999999999
403.70267648303788e-157.40535296607577e-150.999999999999996
411.08311183921413e-152.16622367842825e-150.999999999999999
422.91236157400289e-165.82472314800578e-161
437.78734103643558e-171.55746820728712e-161
442.14686433764063e-174.29372867528126e-171
455.73668036135198e-181.1473360722704e-171
461.58913998822696e-183.17827997645392e-181
474.25309416541259e-198.50618833082518e-191
481.46622941754598e-192.93245883509195e-191
494.88127785950622e-209.76255571901243e-201
501.87587718126349e-203.75175436252699e-201
516.66246932913834e-211.33249386582767e-201
522.12640158452379e-214.25280316904758e-211
536.28972478266125e-221.25794495653225e-211
541.71885564433284e-223.43771128866567e-221
554.73969393608834e-239.47938787217668e-231
561.3781224141252e-232.75624482825041e-231
574.46086511856492e-248.92173023712983e-241
581.43724084713308e-242.87448169426616e-241
599.85965664817314e-251.97193132963463e-241
603.72194725217668e-257.44389450435336e-251
611.17005830991203e-252.34011661982406e-251
623.20361553677902e-266.40723107355803e-261
631.21179469805406e-262.42358939610812e-261
644.44311043775064e-278.88622087550127e-271
651.32318036904546e-272.64636073809091e-271
663.65416882983132e-287.30833765966263e-281
671.01488817244044e-282.02977634488088e-281
683.07743892099036e-296.15487784198072e-291
691.07141543261453e-292.14283086522907e-291
706.86802479867522e-301.37360495973504e-291
712.65044500099644e-305.30089000199289e-301
727.94336421958267e-311.58867284391653e-301
732.36529021395441e-314.73058042790883e-311
748.49945493798663e-321.69989098759733e-311
754.5676356168241e-329.13527123364819e-321
761.49986889515396e-322.99973779030792e-321
775.17458462561054e-331.03491692512211e-321
782.40552776981567e-334.81105553963134e-331
791.69171862254055e-333.3834372450811e-331
802.41519582888393e-334.83039165776785e-331
811.08553351132594e-332.17106702265188e-331
824.38915522021091e-348.77831044042181e-341
832.00238451672385e-344.00476903344771e-341
841.34797521680756e-342.69595043361511e-341
851.16301890387664e-342.32603780775327e-341
862.51900688145768e-345.03801376291537e-341
877.29898187546968e-341.45979637509394e-331
881.93422121376651e-333.86844242753303e-331
895.74751339041304e-331.14950267808261e-321
902.59626309246566e-325.19252618493133e-321
912.98040619180214e-315.96081238360429e-311
929.88096242669181e-311.97619248533836e-301
932.30447689954912e-304.60895379909825e-301
941.00408521574613e-292.00817043149227e-291
955.02139449242946e-291.00427889848589e-281
961.50371628185907e-283.00743256371814e-281
977.63700062421589e-281.52740012484318e-271
988.43759549790577e-271.68751909958115e-261
993.57612994200164e-267.15225988400329e-261
1005.36993799716378e-251.07398759943276e-241
1012.17117604092752e-234.34235208185504e-231
1022.35406468114602e-224.70812936229204e-221
1034.4980910384152e-218.99618207683039e-211
1048.64807609887725e-201.72961521977545e-191
1055.36019387342952e-191.0720387746859e-181
1065.20491067158367e-181.04098213431673e-171
1071.40255548354372e-172.80511096708744e-171
1082.71047559243556e-175.42095118487112e-171
1092.76512802819593e-175.53025605639186e-171
1104.40736877039027e-178.81473754078055e-171
1112.1529422267099e-174.3058844534198e-171
1121.12241115967209e-172.24482231934419e-171
1136.42338532584272e-181.28467706516854e-171
1143.41534702808507e-186.83069405617013e-181
1151.71243579078091e-183.42487158156183e-181
1168.75467992672767e-191.75093598534553e-181
1175.03949968197434e-191.00789993639487e-181
1182.65430717899969e-195.30861435799938e-191
1191.44118579726116e-192.88237159452231e-191
1206.86190421610542e-201.37238084322108e-191
1213.11059682526997e-206.22119365053993e-201
1221.41740354557897e-202.83480709115795e-201
1236.42578061061929e-211.28515612212386e-201
1242.98891106908938e-215.97782213817876e-211
1251.44369831893295e-212.88739663786591e-211
1266.93334193973145e-221.38666838794629e-211
1273.40484433691285e-226.80968867382569e-221
1281.74476127058891e-223.48952254117783e-221
1299.21647330383214e-231.84329466076643e-221
1304.60078650430022e-239.20157300860044e-231
1312.48637207170773e-234.97274414341546e-231
1321.34944427242606e-232.69888854485213e-231
1336.70811707304676e-241.34162341460935e-231
1343.47571098442918e-246.95142196885835e-241
1351.83730025961789e-243.67460051923579e-241
1369.15958616788438e-251.83191723357688e-241
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1382.35320949345747e-254.70641898691495e-251
1391.32858061381005e-252.65716122762011e-251
1408.24586052171259e-261.64917210434252e-251
1416.20453465502463e-261.24090693100493e-251
1423.96112237834035e-267.9222447566807e-261
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1568.46599801298709e-291.69319960259742e-281
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1604.57913436705192e-299.15826873410383e-291
1613.50228109145939e-297.00456218291877e-291
1623.89275348665037e-297.78550697330075e-291
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1641.97691052062241e-283.95382104124482e-281
1651.29610601553726e-282.59221203107453e-281
1669.55272820214227e-291.91054564042845e-281
1677.32130070954033e-291.46426014190807e-281
1687.03694175050689e-291.40738835010138e-281
1698.58818398251095e-291.71763679650219e-281
1701.42101852214951e-282.84203704429903e-281
1711.41961220921862e-282.83922441843724e-281
1728.74497165996752e-291.7489943319935e-281
1735.77800053042854e-291.15560010608571e-281
1744.30197690471111e-298.60395380942222e-291
1753.36767573181201e-296.73535146362402e-291
1762.73426113243514e-295.46852226487028e-291
1772.58110920722914e-295.16221841445829e-291
1781.9504250434838e-293.9008500869676e-291
1791.52041189241331e-293.04082378482661e-291
1801.30176294020489e-292.60352588040978e-291
1811.15492702229603e-292.30985404459206e-291
1821.9823447975963e-293.96468959519259e-291
1834.12573892767857e-298.25147785535715e-291
1848.83600923406947e-291.76720184681389e-281
1852.37865344064264e-284.75730688128527e-281
1866.15732961597949e-281.2314659231959e-271
1874.32216713642725e-278.64433427285449e-271
1885.72774156648059e-261.14554831329612e-251
1894.85637823776525e-259.7127564755305e-251
1903.19399652341108e-246.38799304682217e-241
1911.35765504187077e-232.71531008374154e-231
1925.09777567678985e-231.01955513535797e-221
1931.76646499110811e-223.53292998221622e-221
1948.4048690697276e-221.68097381394552e-211
1953.9407522011188e-217.8815044022376e-211
1961.02456800212923e-202.04913600425846e-201
1972.60163820328393e-205.20327640656787e-201
1987.34030438453311e-201.46806087690662e-191
1992.18714466552543e-194.37428933105086e-191
2002.25101665370615e-194.50203330741231e-191
2012.36560507988994e-194.73121015977987e-191
2022.28418044410534e-194.56836088821068e-191
2032.27171699314332e-194.54343398628665e-191
2042.5745765459136e-195.1491530918272e-191
2053.32550198871559e-196.65100397743118e-191
2062.43148032985216e-194.86296065970432e-191
2076.79720334574604e-191.35944066914921e-181
2081.67069898403335e-183.34139796806671e-181
2093.55370883407797e-187.10741766815593e-181
2107.01140217965975e-181.40228043593195e-171
2114.63280608978017e-189.26561217956034e-181
2121.62186461511402e-173.24372923022805e-171
2131.49672472580245e-172.9934494516049e-171
2141.36530664443726e-172.73061328887453e-171
2151.32725711950792e-172.65451423901585e-171
2161.23737799998731e-172.47475599997462e-171
2171.41170878250955e-172.82341756501911e-171
2181.18121231059929e-172.36242462119858e-171
2198.56642283309771e-181.71328456661954e-171
2206.16602717448985e-181.23320543489797e-171
2214.3476714590312e-188.69534291806241e-181
2223.09557093735769e-186.19114187471539e-181
2232.23646150572715e-184.4729230114543e-181
2242.21501643298984e-184.43003286597967e-181
2252.1289741059359e-184.25794821187181e-181
2261.76492685340881e-183.52985370681763e-181
2271.26776010730962e-182.53552021461923e-181
2287.97163649072542e-191.59432729814508e-181
2294.82826509892158e-199.65653019784315e-191
2302.65512821867804e-195.31025643735609e-191
2311.40318041098197e-192.80636082196394e-191
2327.98749970399396e-201.59749994079879e-191
2334.00792470155972e-208.01584940311944e-201
2342.03699819283656e-204.07399638567312e-201
2351.02941108703715e-202.0588221740743e-201
2363.16650555813874e-206.33301111627748e-201
2372.11148704585541e-194.22297409171082e-191
2382.22984544858352e-184.45969089716703e-181
2393.54182226296097e-177.08364452592195e-171
2408.22327739544789e-171.64465547908958e-161
2419.65281342746952e-171.9305626854939e-161
2425.48552833899274e-151.09710566779855e-140.999999999999995
2431.61308403859098e-073.22616807718195e-070.999999838691596
2442.45170154169379e-054.90340308338758e-050.999975482984583
2450.01875730041224010.03751460082448010.98124269958776
2460.209835874891440.419671749782880.79016412510856
2470.1956637794654830.3913275589309670.804336220534517
2480.1880189335431940.3760378670863890.811981066456806
2490.191688624771770.3833772495435390.80831137522823
2500.1873474575949670.3746949151899330.812652542405033
2510.1901461791702580.3802923583405160.809853820829742
2520.1731676926906940.3463353853813880.826832307309306
2530.161329074477560.322658148955120.83867092552244
2540.1799102920594590.3598205841189180.820089707940541
2550.1605554910328710.3211109820657410.839444508967129
2560.1437734282381570.2875468564763140.856226571761843
2570.1285693480893220.2571386961786450.871430651910678
2580.112784531552040.225569063104080.88721546844796
2590.09788821547368610.1957764309473720.902111784526314
2600.08437215274201850.1687443054840370.915627847257982
2610.07382506906956530.1476501381391310.926174930930435
2620.06326480957852430.1265296191570490.936735190421476
2630.05550959871674430.1110191974334890.944490401283256
2640.050674330715420.101348661430840.94932566928458
2650.04575366917742250.0915073383548450.954246330822577
2660.03980183037491050.0796036607498210.96019816962509
2670.03414391254282150.0682878250856430.965856087457179
2680.02892900425494620.05785800850989240.971070995745054
2690.02402309762905790.04804619525811580.975976902370942
2700.02029827086427430.04059654172854870.979701729135726
2710.01687757534474260.03375515068948510.983122424655257
2720.01436227286314310.02872454572628610.985637727136857
2730.01287113595066140.02574227190132290.987128864049339
2740.01268919010015830.02537838020031650.987310809899842
2750.01049100562176830.02098201124353670.989508994378232
2760.0118891292192810.0237782584385620.988110870780719
2770.009578823069692490.0191576461393850.990421176930308
2780.009689242708427360.01937848541685470.990310757291573
2790.009071359693932370.01814271938786470.990928640306068
2800.009389046127804380.01877809225560880.990610953872196
2810.009543261649093460.01908652329818690.990456738350907
2820.01032729196493870.02065458392987750.989672708035061
2830.0119706371485110.02394127429702210.988029362851489
2840.01771957227137150.03543914454274290.982280427728629
2850.0213738479582550.04274769591651010.978626152041745
2860.0237003783112330.0474007566224660.976299621688767
2870.02222571423820030.04445142847640050.9777742857618
2880.02086822665693720.04173645331387440.979131773343063
2890.02242024257464140.04484048514928270.977579757425359
2900.03212345172776870.06424690345553730.967876548272231
2910.04391365341789420.08782730683578840.956086346582106
2920.04444710697928390.08889421395856780.955552893020716
2930.03932312960743990.07864625921487970.96067687039256
2940.05640786911212980.112815738224260.94359213088787
2950.06988252687199490.139765053743990.930117473128005
2960.07576546190460540.1515309238092110.924234538095395
2970.07710897817115850.1542179563423170.922891021828842
2980.09361148537593030.1872229707518610.90638851462407
2990.09745645860287690.1949129172057540.902543541397123
3000.09411258670284830.1882251734056970.905887413297152
3010.08891807683380270.1778361536676050.911081923166197
3020.08760421404349590.1752084280869920.912395785956504
3030.07636471244294190.1527294248858840.923635287557058
3040.06620864046931770.1324172809386350.933791359530682
3050.06705153605077440.1341030721015490.932948463949226
3060.06537239501101430.1307447900220290.934627604988986
3070.08818731898564430.1763746379712890.911812681014356
3080.1133890362543120.2267780725086240.886610963745688
3090.1187480408997890.2374960817995790.88125195910021
3100.1164187203960880.2328374407921770.883581279603912
3110.1076325461188780.2152650922377560.892367453881122
3120.1114327374109290.2228654748218580.888567262589071
3130.1345895439374830.2691790878749660.865410456062517
3140.1483753476087390.2967506952174790.851624652391261
3150.1868505913261940.3737011826523880.813149408673806
3160.24787260762320.49574521524640.7521273923768
3170.2756357517795540.5512715035591090.724364248220446
3180.3375132122966050.675026424593210.662486787703395
3190.3776036224673140.7552072449346270.622396377532686
3200.443848479125040.8876969582500790.55615152087496
3210.5148805312656450.970238937468710.485119468734355
3220.558564245715290.8828715085694190.44143575428471
3230.583063787173360.833872425653280.41693621282664
3240.6485810116144630.7028379767710730.351418988385537
3250.666438178470030.6671236430599410.33356182152997
3260.6766311045847710.6467377908304570.323368895415229
3270.6999623111744720.6000753776510560.300037688825528
3280.7427530737314450.514493852537110.257246926268555
3290.7573459954898680.4853080090202640.242654004510132
3300.7288786806128570.5422426387742860.271121319387143
3310.8164487623577070.3671024752845860.183551237642293
3320.9023167539688760.1953664920622480.0976832460311242
3330.9377658323864580.1244683352270840.0622341676135421
3340.9784963479459070.04300730410818650.0215036520540933
3350.9915241319830480.01695173603390440.00847586801695222
3360.9956503114296130.008699377140774040.00434968857038702
3370.9973964856875220.005207028624955560.00260351431247778
3380.9962317539495530.007536492100894740.00376824605044737
3390.9971349434114150.005730113177170120.00286505658858506
3400.9975530707743690.004893858451261220.00244692922563061
3410.9978010425507630.004397914898473960.00219895744923698
3420.9967960296164240.006407940767151760.00320397038357588
3430.9949116637403490.01017667251930120.00508833625965059
3440.9907456315324490.01850873693510270.00925436846755137
3450.9908399997089050.01832000058219060.00916000029109531
3460.9837564836847650.03248703263046990.0162435163152349
3470.9703902405690080.05921951886198320.0296097594309916
3480.9480540273599630.1038919452800730.0519459726400366
3490.978328642271220.04334271545755960.0216713577287798
3500.9701518828696410.05969623426071780.0298481171303589
3510.9424524751614960.1150950496770080.0575475248385042
3520.9020695236487130.1958609527025750.0979304763512873
3530.8810963426957190.2378073146085630.118903657304281
3540.8362122817832120.3275754364335760.163787718216788
3550.7840126211174980.4319747577650030.215987378882502







Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level2470.703703703703704NOK
5% type I error level2760.786324786324786NOK
10% type I error level2860.814814814814815NOK

\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 & 247 & 0.703703703703704 & NOK \tabularnewline
5% type I error level & 276 & 0.786324786324786 & NOK \tabularnewline
10% type I error level & 286 & 0.814814814814815 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=147097&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]247[/C][C]0.703703703703704[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]276[/C][C]0.786324786324786[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]286[/C][C]0.814814814814815[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=147097&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=147097&T=6

As an alternative you can also use a QR Code:  

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

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level2470.703703703703704NOK
5% type I error level2760.786324786324786NOK
10% type I error level2860.814814814814815NOK



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