Free Statistics

of Irreproducible Research!

Author's title

Author*Unverified author*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationWed, 26 Nov 2008 12:51:36 -0700
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2008/Nov/26/t12277291542o41vly9a3zhoyk.htm/, Retrieved Mon, 24 Jun 2024 14:39:05 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=25712, Retrieved Mon, 24 Jun 2024 14:39:05 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywordsVan Dooren Leen
Estimated Impact259
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Univariate Data Series] [Arabica Price in ...] [2008-01-05 23:14:31] [74be16979710d4c4e7c6647856088456]
- RMPD    [Multiple Regression] [Tutorial] [2008-11-26 19:51:36] [d175f84d503eb4f2a43145d5e67795b5] [Current]
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Dataseries X:
87.28
87.28
87.09
86.92
87.59
90.72
90.69
90.3
89.55
88.94
88.41
87.82
87.07
86.82
86.4
86.02
85.66
85.32
85
84.67
83.94
82.83
81.95
81.19
80.48
78.86
69.47
68.77
70.06
73.95
75.8
77.79
81.57
83.07
84.34
85.1
85.25
84.26
83.63
86.44
85.3
84.1
83.36
82.48
81.58
80.47
79.34
82.13
81.69
80.7
79.88
79.16
78.38
77.42
76.47
75.46
74.48
78.27
80.7
79.91
78.75
77.78
81.14
81.08
80.03
78.91
78.01
76.9
75.97
81.93
80.27
78.67
77.42
76.16
74.7
76.39
76.04
74.65
73.29
71.79
74.39
74.91
74.54
73.08
72.75
71.32
70.38
70.35
70.01
69.36
67.77
69.26
69.8
68.38
67.62
68.39
66.95
65.21
66.64
63.45
60.66
62.34
60.32
58.64
60.46
58.59
61.87
61.85
67.44
77.06
91.74
93.15
94.15
93.11
91.51
89.96
88.16
86.98
88.03
86.24
84.65
83.23
81.7
80.25
78.8
77.51
76.2
75.04
74
75.49
77.14
76.15
76.27
78.19
76.49
77.31
76.65
74.99
73.51
72.07
70.59
71.96
76.29
74.86
74.93
71.9
71.01
77.47
75.78
76.6
76.07
74.57
73.02
72.65
73.16
71.53
69.78
67.98
69.96
72.16
70.47
68.86
67.37
65.87
72.16
71.34
69.93
68.44
67.16
66.01
67.25
70.91
69.75
68.59
67.48
66.31
64.81
66.58
65.97
64.7
64.7
60.94
59.08
58.42
57.77
57.11
53.31
49.96
49.4
48.84
48.3
47.74
47.24
46.76
46.29
48.9
49.23
48.53
48.03
54.34
53.79
53.24
52.96
52.17
51.7
58.55
78.2
77.03
76.19
77.15
75.87
95.47
109.67
112.28
112.01
107.93
105.96
105.06
102.98
102.2
105.23
101.85
99.89
96.23
94.76
91.51
91.63
91.54
85.23
87.83
87.38
84.44
85.19
84.03
86.73
102.52
104.45
106.98
107.02
99.26
94.45
113.44
157.33
147.38
171.89
171.95
132.71
126.02
121.18
115.45
110.48
117.85
117.63
124.65
109.59
111.27
99.78
98.21
99.2
97.97
89.55
87.91
93.34
94.42
93.2
90.29
91.46
89.98
88.35
88.41
82.44
79.89
75.69
75.66
84.5
96.73
87.48
82.39
83.48
79.31
78.16
72.77
72.45
68.46
67.62
68.76
70.07
68.55
65.3
58.96
59.17
62.37
66.28
55.62
55.23
55.85
56.75
50.89
53.88
52.95
55.08
53.61
58.78
61.85
55.91
53.32
46.41
44.57
50
50
53.36
46.23
50.45
49.07
45.85
48.45
49.96
46.53
50.51
47.58
48.05
46.84
47.67
49.16
55.54
55.82
58.22
56.19
57.77
63.19
54.76
55.74
62.54
61.39
69.6
79.23
80
93.68
107.63
100.18
97.3
90.45
80.64
80.58
75.82
85.59
89.35
89.42
104.73
95.32
89.27
90.44
86.97
79.98
81.22
87.35
83.64
82.22
94.4
102.18




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time9 seconds
R Server'George Udny Yule' @ 72.249.76.132

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 9 seconds \tabularnewline
R Server & 'George Udny Yule' @ 72.249.76.132 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=25712&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]9 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'George Udny Yule' @ 72.249.76.132[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=25712&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=25712&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 time9 seconds
R Server'George Udny Yule' @ 72.249.76.132







Multiple Linear Regression - Estimated Regression Equation
P[t] = + 79.113943825441 -0.0087300673616308t + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
P[t] =  +  79.113943825441 -0.0087300673616308t  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=25712&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]P[t] =  +  79.113943825441 -0.0087300673616308t  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=25712&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=25712&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
P[t] = + 79.113943825441 -0.0087300673616308t + e[t]







Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)79.1139438254411.99173139.721200
t-0.00873006736163080.009563-0.91290.3618990.18095

\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) & 79.113943825441 & 1.991731 & 39.7212 & 0 & 0 \tabularnewline
t & -0.0087300673616308 & 0.009563 & -0.9129 & 0.361899 & 0.18095 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=25712&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]79.113943825441[/C][C]1.991731[/C][C]39.7212[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]t[/C][C]-0.0087300673616308[/C][C]0.009563[/C][C]-0.9129[/C][C]0.361899[/C][C]0.18095[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=25712&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=25712&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)79.1139438254411.99173139.721200
t-0.00873006736163080.009563-0.91290.3618990.18095







Multiple Linear Regression - Regression Statistics
Multiple R0.0481932311722504
R-squared0.00232258753082197
Adjusted R-squared-0.000464220883896527
F-TEST (value)0.833422031652894
F-TEST (DF numerator)1
F-TEST (DF denominator)358
p-value0.361899249430657
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation18.8558692867702
Sum Squared Residuals127284.682748395

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.0481932311722504 \tabularnewline
R-squared & 0.00232258753082197 \tabularnewline
Adjusted R-squared & -0.000464220883896527 \tabularnewline
F-TEST (value) & 0.833422031652894 \tabularnewline
F-TEST (DF numerator) & 1 \tabularnewline
F-TEST (DF denominator) & 358 \tabularnewline
p-value & 0.361899249430657 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 18.8558692867702 \tabularnewline
Sum Squared Residuals & 127284.682748395 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=25712&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.0481932311722504[/C][/ROW]
[ROW][C]R-squared[/C][C]0.00232258753082197[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]-0.000464220883896527[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]0.833422031652894[/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]0.361899249430657[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]18.8558692867702[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]127284.682748395[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=25712&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=25712&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 R0.0481932311722504
R-squared0.00232258753082197
Adjusted R-squared-0.000464220883896527
F-TEST (value)0.833422031652894
F-TEST (DF numerator)1
F-TEST (DF denominator)358
p-value0.361899249430657
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation18.8558692867702
Sum Squared Residuals127284.682748395







Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
187.2879.1052137580818.17478624191908
287.2879.09648369071788.18351630928224
387.0979.08775362335618.00224637664387
486.9279.07902355599457.8409764440055
587.5979.07029348863298.51970651136714
690.7279.061563421271211.6584365787288
790.6979.052833353909611.6371666460904
890.379.04410328654811.2558967134520
989.5579.035373219186310.5146267808137
1088.9479.02664315182479.91335684817528
1188.4179.01791308446319.39208691553691
1287.8279.00918301710148.81081698289854
1387.0779.00045294973988.06954705026017
1486.8278.99172288237827.8282771176218
1586.478.98299281501667.41700718498345
1686.0278.9742627476557.04573725234507
1785.6678.96553268029336.6944673197067
1885.3278.95680261293176.36319738706833
198578.948072545576.05192745442996
2084.6778.93934247820845.7306575217916
2183.9478.93061241084685.00938758915322
2282.8378.92188234348513.90811765651485
2381.9578.91315227612353.03684772387649
2481.1978.90442220876192.28557779123812
2580.4878.89569214140021.58430785859975
2678.8678.8869620740386-0.0269620740386208
2769.4778.878232006677-9.4082320066770
2868.7778.8695019393154-10.0995019393154
2970.0678.8607718719537-8.80077187195373
3073.9578.8520418045921-4.9020418045921
3175.878.8433117372305-3.04331173723047
3277.7978.8345816698688-1.04458166986883
3381.5778.82585160250722.74414839749279
3483.0778.81712153514564.25287846485442
3584.3478.8083914677845.53160853221606
3685.178.79966140042236.30033859957768
3785.2578.79093133306076.45906866693932
3884.2678.7822012656995.47779873430095
3983.6378.77347119833744.85652880166258
4086.4478.76474113097587.67525886902421
4185.378.75601106361426.54398893638584
4284.178.74728099625255.35271900374747
4383.3678.73855092889094.6214490711091
4482.4878.72982086152933.75017913847074
4581.5878.72109079416762.85890920583236
4680.4778.7123607268061.75763927319399
4779.3478.70363065944440.63636934055563
4882.1378.69490059208273.43509940791725
4981.6978.68617052472113.00382947527889
5080.778.67744045735952.02255954264052
5179.8878.66871038999791.21128961000215
5279.1678.65998032263620.500019677363777
5378.3878.6512502552746-0.271250255274593
5477.4278.642520187913-1.22252018791296
5576.4778.6337901205513-2.16379012055133
5675.4678.6250600531897-3.1650600531897
5774.4878.616329985828-4.13632998582806
5878.2778.6075999184664-0.337599918466439
5980.778.59886985110482.1011301488952
6079.9178.59013978374321.31986021625682
6178.7578.58140971638150.168590283618458
6277.7878.5726796490199-0.79267964901991
6381.1478.56394958165832.57605041834172
6481.0878.55521951429672.52478048570335
6580.0378.5464894469351.48351055306498
6678.9178.53775937957340.372240620426608
6778.0178.5290293122118-0.519029312211752
6876.978.5202992448501-1.62029924485012
6975.9778.5115691774885-2.5415691774885
7081.9378.50283911012693.42716088987314
7180.2778.49410904276521.77589095723476
7278.6778.48537897540360.184621024596398
7377.4278.476648908042-1.05664890804197
7476.1678.4679188406803-2.30791884068035
7574.778.4591887733187-3.75918877331871
7676.3978.450458705957-2.06045870595708
7776.0478.4417286385954-2.40172863859544
7874.6578.4329985712338-3.78299857123381
7973.2978.4242685038722-5.13426850387218
8071.7978.4155384365106-6.62553843651055
8174.3978.406808369149-4.01680836914893
8274.9178.3980783017873-3.4880783017873
8374.5478.3893482344257-3.84934823442566
8473.0878.380618167064-5.30061816706404
8572.7578.3718880997024-5.6218880997024
8671.3278.3631580323408-7.04315803234078
8770.3878.3544279649791-7.97442796497915
8870.3578.3456978976175-7.99569789761752
8970.0178.3369678302559-8.32696783025587
9069.3678.3282377628942-8.96823776289425
9167.7778.3195076955326-10.5495076955326
9269.2678.310777628171-9.05077762817098
9369.878.3020475608094-8.50204756080936
9468.3878.2933174934477-9.91331749344773
9567.6278.284587426086-10.6645874260861
9668.3978.2758573587245-9.88585735872446
9766.9578.2671272913628-11.3171272913628
9865.2178.2583972240012-13.0483972240012
9966.6478.2496671566396-11.6096671566396
10063.4578.240937089278-14.7909370892779
10160.6678.2322070219163-17.5722070219163
10262.3478.2234769545547-15.8834769545547
10360.3278.214746887193-17.8947468871930
10458.6478.2060168198314-19.5660168198314
10560.4678.1972867524698-17.7372867524698
10658.5978.1885566851082-19.5985566851082
10761.8778.1798266177465-16.3098266177465
10861.8578.1710965503849-16.3210965503849
10967.4478.1623664830233-10.7223664830233
11077.0678.1536364156616-1.09363641566163
11191.7478.144906348313.5950936517
11293.1578.136176280938415.0138237190616
11394.1578.127446213576716.0225537864233
11493.1178.118716146215114.9912838537849
11591.5178.109986078853513.4000139211465
11689.9678.101256011491811.8587439885081
11788.1678.092525944130210.0674740558698
11886.9878.08379587676868.89620412323142
11988.0378.0750658094079.95493419059305
12086.2478.06633574204538.17366425795467
12184.6578.05760567468376.59239432531631
12283.2378.0488756073225.18112439267794
12381.778.04014553996043.65985446003957
12480.2578.03141547259882.2185845274012
12578.878.02268540523720.777314594762826
12677.5178.0139553378755-0.503955337875535
12776.278.0052252705139-1.80522527051391
12875.0477.9964952031523-2.95649520315227
1297477.9877651357907-3.98776513579065
13075.4977.979035068429-2.48903506842902
13177.1477.9703050010674-0.830305001067386
13276.1577.9615749337058-1.81157493370575
13376.2777.9528448663441-1.68284486634413
13478.1977.94411479898250.245885201017504
13576.4977.9353847316209-1.44538473162087
13677.3177.9266546642592-0.61665466425923
13776.6577.9179245968976-1.26792459689760
13874.9977.909194529536-2.91919452953598
13973.5177.9004644621743-4.39046446217433
14072.0777.8917343948127-5.82173439481272
14170.5977.8830043274511-7.29300432745107
14271.9677.8742742600895-5.91427426008945
14376.2977.8655441927278-1.57554419272781
14474.8677.8568141253662-2.99681412536619
14574.9377.8480840580046-2.91808405800455
14671.977.8393539906429-5.93935399064292
14771.0177.8306239232813-6.82062392328129
14877.4777.8218938559197-0.351893855919664
14975.7877.813163788558-2.03316378855803
15076.677.8044337211964-1.20443372119641
15176.0777.7957036538348-1.72570365383478
15274.5777.7869735864731-3.21697358647315
15373.0277.7782435191115-4.75824351911151
15472.6577.7695134517499-5.11951345174987
15573.1677.7607833843882-4.60078338438825
15671.5377.7520533170266-6.22205331702661
15769.7877.743323249665-7.96332324966498
15867.9877.7345931823034-9.75459318230335
15969.9677.7258631149417-7.76586311494173
16072.1677.7171330475801-5.5571330475801
16170.4777.7084029802185-7.23840298021846
16268.8677.6996729128568-8.83967291285683
16367.3777.6909428454952-10.3209428454952
16465.8777.6822127781336-11.8122127781336
16572.1677.673482710772-5.51348271077194
16671.3477.6647526434103-6.3247526434103
16769.9377.6560225760487-7.72602257604867
16868.4477.647292508687-9.20729250868705
16967.1677.6385624413254-10.4785624413254
17066.0177.6298323739638-11.6198323739638
17167.2577.6211023066022-10.3711023066022
17270.9177.6123722392405-6.70237223924053
17369.7577.6036421718789-7.8536421718789
17468.5977.5949121045173-9.00491210451726
17567.4877.5861820371556-10.1061820371556
17666.3177.577451969794-11.267451969794
17764.8177.5687219024324-12.7587219024324
17866.5877.5599918350707-10.9799918350707
17965.9777.5512617677091-11.5812617677091
18064.777.5425317003475-12.8425317003475
18164.777.5338016329858-12.8338016329858
18260.9477.5250715656242-16.5850715656242
18359.0877.5163414982626-18.4363414982626
18458.4277.507611430901-19.0876114309010
18557.7777.4988813635393-19.7288813635393
18657.1177.4901512961777-20.3801512961777
18753.3177.481421228816-24.1714212288161
18849.9677.4726911614544-27.5126911614544
18949.477.4639610940928-28.0639610940928
19048.8477.4552310267312-28.6152310267312
19148.377.4465009593695-29.1465009593695
19247.7477.4377708920079-29.6977708920079
19347.2477.4290408246463-30.1890408246463
19446.7677.4203107572847-30.6603107572846
19546.2977.411580689923-31.121580689923
19648.977.4028506225614-28.5028506225614
19749.2377.3941205551997-28.1641205551998
19848.5377.3853904878381-28.8553904878381
19948.0377.3766604204765-29.3466604204765
20054.3477.3679303531149-23.0279303531149
20153.7977.3592002857532-23.5692002857532
20253.2477.3504702183916-24.1104702183916
20352.9677.34174015103-24.3817401510300
20452.1777.3330100836683-25.1630100836683
20551.777.3242800163067-25.6242800163067
20658.5577.315549948945-18.7655499489451
20778.277.30681988158350.893180118416557
20877.0377.2980898142218-0.268089814221814
20976.1977.2893597468602-1.09935974686019
21077.1577.2806296794986-0.130629679498547
21175.8777.2718996121369-1.40189961213692
21295.4777.263169544775318.2068304552247
213109.6777.254439477413732.4155605225863
214112.2877.24570941005235.034290589948
215112.0177.236979342690434.7730206573096
216107.9377.228249275328830.7017507246712
217105.9677.219519207967128.7404807920329
218105.0677.210789140605527.8492108593945
219102.9877.202059073243925.7779409267561
220102.277.193329005882225.0066709941178
221105.2377.184598938520628.0454010614794
222101.8577.17586887115924.674131128841
22399.8977.167138803797422.7228611962026
22496.2377.158408736435719.0715912635643
22594.7677.149678669074117.6103213309259
22691.5177.140948601712514.3690513982875
22791.6377.132218534350814.4977814656492
22891.5477.123488466989214.4165115330108
22985.2377.11475839962768.11524160037244
23087.8377.106028332265910.7239716677341
23187.3877.097298264904310.2827017350957
23284.4477.08856819754277.35143180245732
23385.1977.0798381301818.11016186981895
23484.0377.07110806281946.95889193718059
23586.7377.06237799545789.66762200454222
236102.5277.053647928096225.4663520719038
237104.4577.044917860734527.4050821392655
238106.9877.036187793372929.9438122066271
239107.0277.027457726011329.9925422739887
24099.2677.018727658649622.2412723413504
24194.4577.00999759128817.440002408712
242113.4477.001267523926436.4387324760736
243157.3376.992537456564780.3374625434353
244147.3876.983807389203170.3961926107969
245171.8976.975077321841594.9149226781585
246171.9576.966347254479994.9836527455201
247132.7176.957617187118255.7523828128818
248126.0276.948887119756649.0711128802434
249121.1876.94015705239544.2398429476051
250115.4576.931426985033338.5185730149667
251110.4876.922696917671733.5573030823283
252117.8576.913966850310140.9360331496899
253117.6376.905236782948440.7247632170516
254124.6576.896506715586847.7534932844132
255109.5976.887776648225232.7022233517748
256111.2776.879046580863534.3909534191365
25799.7876.870316513501922.9096834864981
25898.2176.861586446140321.3484135538597
25999.276.852856378778622.3471436212214
26097.9776.84412631141721.125873688583
26189.5576.835396244055412.7146037559446
26287.9176.826666176693711.0833338233062
26393.3476.817936109332116.5220638906679
26494.4276.809206041970517.6107939580295
26593.276.800475974608916.3995240253911
26690.2976.791745907247213.4982540927528
26791.4676.783015839885614.6769841601144
26889.9876.77428577252413.2057142274760
26988.3576.765555705162311.5844442948377
27088.4176.756825637800711.6531743621993
27182.4476.74809557043915.69190442956092
27279.8976.73936550307743.15063449692256
27375.6976.7306354357158-1.04063543571581
27475.6676.7219053683542-1.06190536835419
27584.576.71317530099257.78682469900745
27696.7376.704445233630920.0255547663691
27787.4876.695715166269310.7842848337307
27882.3976.68698509890775.70301490109234
27983.4876.6782550315466.80174496845398
28079.3176.66952496418442.64047503581561
28178.1676.66079489682281.49920510317723
28272.7776.6520648294611-3.88206482946114
28372.4576.6433347620995-4.1933347620995
28468.4676.6346046947379-8.17460469473788
28567.6276.6258746273762-9.00587462737624
28668.7676.6171445600146-7.8571445600146
28770.0776.608414492653-6.53841449265299
28868.5576.5996844252913-8.04968442529135
28965.376.5909543579297-11.2909543579297
29058.9676.5822242905681-17.6222242905681
29159.1776.5734942232065-17.4034942232065
29262.3776.5647641558448-14.1947641558448
29366.2876.5560340884832-10.2760340884832
29455.6276.5473040211216-20.9273040211216
29555.2376.53857395376-21.3085739537599
29655.8576.5298438863983-20.6798438863983
29756.7576.5211138190367-19.7711138190367
29850.8976.512383751675-25.6223837516750
29953.8876.5036536843134-22.6236536843134
30052.9576.4949236169518-23.5449236169518
30155.0876.4861935495902-21.4061935495901
30253.6176.4774634822285-22.8674634822285
30358.7876.4687334148669-17.6887334148669
30461.8576.4600033475052-14.6100033475053
30555.9176.4512732801436-20.5412732801436
30653.3276.442543212782-23.122543212782
30746.4176.4338131454204-30.0238131454204
30844.5776.4250830780587-31.8550830780587
3095076.4163530106971-26.4163530106971
3105076.4076229433355-26.4076229433355
31153.3676.3988928759738-23.0388928759738
31246.2376.3901628086122-30.1601628086122
31350.4576.3814327412506-25.9314327412506
31449.0776.372702673889-27.3027026738890
31545.8576.3639726065273-30.5139726065273
31648.4576.3552425391657-27.9052425391657
31749.9676.346512471804-26.3865124718041
31846.5376.3377824044424-29.8077824044424
31950.5176.3290523370808-25.8190523370808
32047.5876.3203222697192-28.7403222697192
32148.0576.3115922023575-28.2615922023575
32246.8476.3028621349959-29.4628621349959
32347.6776.2941320676343-28.6241320676343
32449.1676.2854020002726-27.1254020002726
32555.5476.276671932911-20.736671932911
32655.8276.2679418655494-20.4479418655494
32758.2276.2592117981877-18.0392117981878
32856.1976.2504817308261-20.0604817308261
32957.7776.2417516634645-18.4717516634645
33063.1976.2330215961029-13.0430215961029
33154.7676.2242915287412-21.4642915287412
33255.7476.2155614613796-20.4755614613796
33362.5476.206831394018-13.6668313940180
33461.3976.1981013266563-14.8081013266563
33569.676.1893712592947-6.58937125929471
33679.2376.18064119193313.04935880806693
3378076.17191112457143.82808887542856
33893.6876.163181057209817.5168189427902
339107.6376.154450989848231.4755490101518
340100.1876.145720922486524.0342790775135
34197.376.136990855124921.1630091448751
34290.4576.128260787763314.3217392122367
34380.6476.11953072040174.52046927959834
34480.5876.110800653044.46919934695997
34575.8276.1020705856784-0.282070585678402
34685.5976.09334051831689.49665948168324
34789.3576.084610450955113.2653895490449
34889.4276.075880383593513.3441196164065
349104.7376.067150316231928.6628496837681
35095.3276.058420248870219.2615797511298
35189.2776.049690181508613.2203098184914
35290.4476.04096011414714.3990398858530
35386.9776.032230046785310.9377699532146
35479.9876.02349997942373.95650002057629
35581.2276.01476991206215.20523008793791
35687.3576.006039844700511.3439601552995
35783.6475.99730977733887.64269022266117
35882.2275.98857970997726.2314202900228
35994.475.979849642615618.4201503573844
360102.1875.97111957525426.2088804247461

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 87.28 & 79.105213758081 & 8.17478624191908 \tabularnewline
2 & 87.28 & 79.0964836907178 & 8.18351630928224 \tabularnewline
3 & 87.09 & 79.0877536233561 & 8.00224637664387 \tabularnewline
4 & 86.92 & 79.0790235559945 & 7.8409764440055 \tabularnewline
5 & 87.59 & 79.0702934886329 & 8.51970651136714 \tabularnewline
6 & 90.72 & 79.0615634212712 & 11.6584365787288 \tabularnewline
7 & 90.69 & 79.0528333539096 & 11.6371666460904 \tabularnewline
8 & 90.3 & 79.044103286548 & 11.2558967134520 \tabularnewline
9 & 89.55 & 79.0353732191863 & 10.5146267808137 \tabularnewline
10 & 88.94 & 79.0266431518247 & 9.91335684817528 \tabularnewline
11 & 88.41 & 79.0179130844631 & 9.39208691553691 \tabularnewline
12 & 87.82 & 79.0091830171014 & 8.81081698289854 \tabularnewline
13 & 87.07 & 79.0004529497398 & 8.06954705026017 \tabularnewline
14 & 86.82 & 78.9917228823782 & 7.8282771176218 \tabularnewline
15 & 86.4 & 78.9829928150166 & 7.41700718498345 \tabularnewline
16 & 86.02 & 78.974262747655 & 7.04573725234507 \tabularnewline
17 & 85.66 & 78.9655326802933 & 6.6944673197067 \tabularnewline
18 & 85.32 & 78.9568026129317 & 6.36319738706833 \tabularnewline
19 & 85 & 78.94807254557 & 6.05192745442996 \tabularnewline
20 & 84.67 & 78.9393424782084 & 5.7306575217916 \tabularnewline
21 & 83.94 & 78.9306124108468 & 5.00938758915322 \tabularnewline
22 & 82.83 & 78.9218823434851 & 3.90811765651485 \tabularnewline
23 & 81.95 & 78.9131522761235 & 3.03684772387649 \tabularnewline
24 & 81.19 & 78.9044222087619 & 2.28557779123812 \tabularnewline
25 & 80.48 & 78.8956921414002 & 1.58430785859975 \tabularnewline
26 & 78.86 & 78.8869620740386 & -0.0269620740386208 \tabularnewline
27 & 69.47 & 78.878232006677 & -9.4082320066770 \tabularnewline
28 & 68.77 & 78.8695019393154 & -10.0995019393154 \tabularnewline
29 & 70.06 & 78.8607718719537 & -8.80077187195373 \tabularnewline
30 & 73.95 & 78.8520418045921 & -4.9020418045921 \tabularnewline
31 & 75.8 & 78.8433117372305 & -3.04331173723047 \tabularnewline
32 & 77.79 & 78.8345816698688 & -1.04458166986883 \tabularnewline
33 & 81.57 & 78.8258516025072 & 2.74414839749279 \tabularnewline
34 & 83.07 & 78.8171215351456 & 4.25287846485442 \tabularnewline
35 & 84.34 & 78.808391467784 & 5.53160853221606 \tabularnewline
36 & 85.1 & 78.7996614004223 & 6.30033859957768 \tabularnewline
37 & 85.25 & 78.7909313330607 & 6.45906866693932 \tabularnewline
38 & 84.26 & 78.782201265699 & 5.47779873430095 \tabularnewline
39 & 83.63 & 78.7734711983374 & 4.85652880166258 \tabularnewline
40 & 86.44 & 78.7647411309758 & 7.67525886902421 \tabularnewline
41 & 85.3 & 78.7560110636142 & 6.54398893638584 \tabularnewline
42 & 84.1 & 78.7472809962525 & 5.35271900374747 \tabularnewline
43 & 83.36 & 78.7385509288909 & 4.6214490711091 \tabularnewline
44 & 82.48 & 78.7298208615293 & 3.75017913847074 \tabularnewline
45 & 81.58 & 78.7210907941676 & 2.85890920583236 \tabularnewline
46 & 80.47 & 78.712360726806 & 1.75763927319399 \tabularnewline
47 & 79.34 & 78.7036306594444 & 0.63636934055563 \tabularnewline
48 & 82.13 & 78.6949005920827 & 3.43509940791725 \tabularnewline
49 & 81.69 & 78.6861705247211 & 3.00382947527889 \tabularnewline
50 & 80.7 & 78.6774404573595 & 2.02255954264052 \tabularnewline
51 & 79.88 & 78.6687103899979 & 1.21128961000215 \tabularnewline
52 & 79.16 & 78.6599803226362 & 0.500019677363777 \tabularnewline
53 & 78.38 & 78.6512502552746 & -0.271250255274593 \tabularnewline
54 & 77.42 & 78.642520187913 & -1.22252018791296 \tabularnewline
55 & 76.47 & 78.6337901205513 & -2.16379012055133 \tabularnewline
56 & 75.46 & 78.6250600531897 & -3.1650600531897 \tabularnewline
57 & 74.48 & 78.616329985828 & -4.13632998582806 \tabularnewline
58 & 78.27 & 78.6075999184664 & -0.337599918466439 \tabularnewline
59 & 80.7 & 78.5988698511048 & 2.1011301488952 \tabularnewline
60 & 79.91 & 78.5901397837432 & 1.31986021625682 \tabularnewline
61 & 78.75 & 78.5814097163815 & 0.168590283618458 \tabularnewline
62 & 77.78 & 78.5726796490199 & -0.79267964901991 \tabularnewline
63 & 81.14 & 78.5639495816583 & 2.57605041834172 \tabularnewline
64 & 81.08 & 78.5552195142967 & 2.52478048570335 \tabularnewline
65 & 80.03 & 78.546489446935 & 1.48351055306498 \tabularnewline
66 & 78.91 & 78.5377593795734 & 0.372240620426608 \tabularnewline
67 & 78.01 & 78.5290293122118 & -0.519029312211752 \tabularnewline
68 & 76.9 & 78.5202992448501 & -1.62029924485012 \tabularnewline
69 & 75.97 & 78.5115691774885 & -2.5415691774885 \tabularnewline
70 & 81.93 & 78.5028391101269 & 3.42716088987314 \tabularnewline
71 & 80.27 & 78.4941090427652 & 1.77589095723476 \tabularnewline
72 & 78.67 & 78.4853789754036 & 0.184621024596398 \tabularnewline
73 & 77.42 & 78.476648908042 & -1.05664890804197 \tabularnewline
74 & 76.16 & 78.4679188406803 & -2.30791884068035 \tabularnewline
75 & 74.7 & 78.4591887733187 & -3.75918877331871 \tabularnewline
76 & 76.39 & 78.450458705957 & -2.06045870595708 \tabularnewline
77 & 76.04 & 78.4417286385954 & -2.40172863859544 \tabularnewline
78 & 74.65 & 78.4329985712338 & -3.78299857123381 \tabularnewline
79 & 73.29 & 78.4242685038722 & -5.13426850387218 \tabularnewline
80 & 71.79 & 78.4155384365106 & -6.62553843651055 \tabularnewline
81 & 74.39 & 78.406808369149 & -4.01680836914893 \tabularnewline
82 & 74.91 & 78.3980783017873 & -3.4880783017873 \tabularnewline
83 & 74.54 & 78.3893482344257 & -3.84934823442566 \tabularnewline
84 & 73.08 & 78.380618167064 & -5.30061816706404 \tabularnewline
85 & 72.75 & 78.3718880997024 & -5.6218880997024 \tabularnewline
86 & 71.32 & 78.3631580323408 & -7.04315803234078 \tabularnewline
87 & 70.38 & 78.3544279649791 & -7.97442796497915 \tabularnewline
88 & 70.35 & 78.3456978976175 & -7.99569789761752 \tabularnewline
89 & 70.01 & 78.3369678302559 & -8.32696783025587 \tabularnewline
90 & 69.36 & 78.3282377628942 & -8.96823776289425 \tabularnewline
91 & 67.77 & 78.3195076955326 & -10.5495076955326 \tabularnewline
92 & 69.26 & 78.310777628171 & -9.05077762817098 \tabularnewline
93 & 69.8 & 78.3020475608094 & -8.50204756080936 \tabularnewline
94 & 68.38 & 78.2933174934477 & -9.91331749344773 \tabularnewline
95 & 67.62 & 78.284587426086 & -10.6645874260861 \tabularnewline
96 & 68.39 & 78.2758573587245 & -9.88585735872446 \tabularnewline
97 & 66.95 & 78.2671272913628 & -11.3171272913628 \tabularnewline
98 & 65.21 & 78.2583972240012 & -13.0483972240012 \tabularnewline
99 & 66.64 & 78.2496671566396 & -11.6096671566396 \tabularnewline
100 & 63.45 & 78.240937089278 & -14.7909370892779 \tabularnewline
101 & 60.66 & 78.2322070219163 & -17.5722070219163 \tabularnewline
102 & 62.34 & 78.2234769545547 & -15.8834769545547 \tabularnewline
103 & 60.32 & 78.214746887193 & -17.8947468871930 \tabularnewline
104 & 58.64 & 78.2060168198314 & -19.5660168198314 \tabularnewline
105 & 60.46 & 78.1972867524698 & -17.7372867524698 \tabularnewline
106 & 58.59 & 78.1885566851082 & -19.5985566851082 \tabularnewline
107 & 61.87 & 78.1798266177465 & -16.3098266177465 \tabularnewline
108 & 61.85 & 78.1710965503849 & -16.3210965503849 \tabularnewline
109 & 67.44 & 78.1623664830233 & -10.7223664830233 \tabularnewline
110 & 77.06 & 78.1536364156616 & -1.09363641566163 \tabularnewline
111 & 91.74 & 78.1449063483 & 13.5950936517 \tabularnewline
112 & 93.15 & 78.1361762809384 & 15.0138237190616 \tabularnewline
113 & 94.15 & 78.1274462135767 & 16.0225537864233 \tabularnewline
114 & 93.11 & 78.1187161462151 & 14.9912838537849 \tabularnewline
115 & 91.51 & 78.1099860788535 & 13.4000139211465 \tabularnewline
116 & 89.96 & 78.1012560114918 & 11.8587439885081 \tabularnewline
117 & 88.16 & 78.0925259441302 & 10.0674740558698 \tabularnewline
118 & 86.98 & 78.0837958767686 & 8.89620412323142 \tabularnewline
119 & 88.03 & 78.075065809407 & 9.95493419059305 \tabularnewline
120 & 86.24 & 78.0663357420453 & 8.17366425795467 \tabularnewline
121 & 84.65 & 78.0576056746837 & 6.59239432531631 \tabularnewline
122 & 83.23 & 78.048875607322 & 5.18112439267794 \tabularnewline
123 & 81.7 & 78.0401455399604 & 3.65985446003957 \tabularnewline
124 & 80.25 & 78.0314154725988 & 2.2185845274012 \tabularnewline
125 & 78.8 & 78.0226854052372 & 0.777314594762826 \tabularnewline
126 & 77.51 & 78.0139553378755 & -0.503955337875535 \tabularnewline
127 & 76.2 & 78.0052252705139 & -1.80522527051391 \tabularnewline
128 & 75.04 & 77.9964952031523 & -2.95649520315227 \tabularnewline
129 & 74 & 77.9877651357907 & -3.98776513579065 \tabularnewline
130 & 75.49 & 77.979035068429 & -2.48903506842902 \tabularnewline
131 & 77.14 & 77.9703050010674 & -0.830305001067386 \tabularnewline
132 & 76.15 & 77.9615749337058 & -1.81157493370575 \tabularnewline
133 & 76.27 & 77.9528448663441 & -1.68284486634413 \tabularnewline
134 & 78.19 & 77.9441147989825 & 0.245885201017504 \tabularnewline
135 & 76.49 & 77.9353847316209 & -1.44538473162087 \tabularnewline
136 & 77.31 & 77.9266546642592 & -0.61665466425923 \tabularnewline
137 & 76.65 & 77.9179245968976 & -1.26792459689760 \tabularnewline
138 & 74.99 & 77.909194529536 & -2.91919452953598 \tabularnewline
139 & 73.51 & 77.9004644621743 & -4.39046446217433 \tabularnewline
140 & 72.07 & 77.8917343948127 & -5.82173439481272 \tabularnewline
141 & 70.59 & 77.8830043274511 & -7.29300432745107 \tabularnewline
142 & 71.96 & 77.8742742600895 & -5.91427426008945 \tabularnewline
143 & 76.29 & 77.8655441927278 & -1.57554419272781 \tabularnewline
144 & 74.86 & 77.8568141253662 & -2.99681412536619 \tabularnewline
145 & 74.93 & 77.8480840580046 & -2.91808405800455 \tabularnewline
146 & 71.9 & 77.8393539906429 & -5.93935399064292 \tabularnewline
147 & 71.01 & 77.8306239232813 & -6.82062392328129 \tabularnewline
148 & 77.47 & 77.8218938559197 & -0.351893855919664 \tabularnewline
149 & 75.78 & 77.813163788558 & -2.03316378855803 \tabularnewline
150 & 76.6 & 77.8044337211964 & -1.20443372119641 \tabularnewline
151 & 76.07 & 77.7957036538348 & -1.72570365383478 \tabularnewline
152 & 74.57 & 77.7869735864731 & -3.21697358647315 \tabularnewline
153 & 73.02 & 77.7782435191115 & -4.75824351911151 \tabularnewline
154 & 72.65 & 77.7695134517499 & -5.11951345174987 \tabularnewline
155 & 73.16 & 77.7607833843882 & -4.60078338438825 \tabularnewline
156 & 71.53 & 77.7520533170266 & -6.22205331702661 \tabularnewline
157 & 69.78 & 77.743323249665 & -7.96332324966498 \tabularnewline
158 & 67.98 & 77.7345931823034 & -9.75459318230335 \tabularnewline
159 & 69.96 & 77.7258631149417 & -7.76586311494173 \tabularnewline
160 & 72.16 & 77.7171330475801 & -5.5571330475801 \tabularnewline
161 & 70.47 & 77.7084029802185 & -7.23840298021846 \tabularnewline
162 & 68.86 & 77.6996729128568 & -8.83967291285683 \tabularnewline
163 & 67.37 & 77.6909428454952 & -10.3209428454952 \tabularnewline
164 & 65.87 & 77.6822127781336 & -11.8122127781336 \tabularnewline
165 & 72.16 & 77.673482710772 & -5.51348271077194 \tabularnewline
166 & 71.34 & 77.6647526434103 & -6.3247526434103 \tabularnewline
167 & 69.93 & 77.6560225760487 & -7.72602257604867 \tabularnewline
168 & 68.44 & 77.647292508687 & -9.20729250868705 \tabularnewline
169 & 67.16 & 77.6385624413254 & -10.4785624413254 \tabularnewline
170 & 66.01 & 77.6298323739638 & -11.6198323739638 \tabularnewline
171 & 67.25 & 77.6211023066022 & -10.3711023066022 \tabularnewline
172 & 70.91 & 77.6123722392405 & -6.70237223924053 \tabularnewline
173 & 69.75 & 77.6036421718789 & -7.8536421718789 \tabularnewline
174 & 68.59 & 77.5949121045173 & -9.00491210451726 \tabularnewline
175 & 67.48 & 77.5861820371556 & -10.1061820371556 \tabularnewline
176 & 66.31 & 77.577451969794 & -11.267451969794 \tabularnewline
177 & 64.81 & 77.5687219024324 & -12.7587219024324 \tabularnewline
178 & 66.58 & 77.5599918350707 & -10.9799918350707 \tabularnewline
179 & 65.97 & 77.5512617677091 & -11.5812617677091 \tabularnewline
180 & 64.7 & 77.5425317003475 & -12.8425317003475 \tabularnewline
181 & 64.7 & 77.5338016329858 & -12.8338016329858 \tabularnewline
182 & 60.94 & 77.5250715656242 & -16.5850715656242 \tabularnewline
183 & 59.08 & 77.5163414982626 & -18.4363414982626 \tabularnewline
184 & 58.42 & 77.507611430901 & -19.0876114309010 \tabularnewline
185 & 57.77 & 77.4988813635393 & -19.7288813635393 \tabularnewline
186 & 57.11 & 77.4901512961777 & -20.3801512961777 \tabularnewline
187 & 53.31 & 77.481421228816 & -24.1714212288161 \tabularnewline
188 & 49.96 & 77.4726911614544 & -27.5126911614544 \tabularnewline
189 & 49.4 & 77.4639610940928 & -28.0639610940928 \tabularnewline
190 & 48.84 & 77.4552310267312 & -28.6152310267312 \tabularnewline
191 & 48.3 & 77.4465009593695 & -29.1465009593695 \tabularnewline
192 & 47.74 & 77.4377708920079 & -29.6977708920079 \tabularnewline
193 & 47.24 & 77.4290408246463 & -30.1890408246463 \tabularnewline
194 & 46.76 & 77.4203107572847 & -30.6603107572846 \tabularnewline
195 & 46.29 & 77.411580689923 & -31.121580689923 \tabularnewline
196 & 48.9 & 77.4028506225614 & -28.5028506225614 \tabularnewline
197 & 49.23 & 77.3941205551997 & -28.1641205551998 \tabularnewline
198 & 48.53 & 77.3853904878381 & -28.8553904878381 \tabularnewline
199 & 48.03 & 77.3766604204765 & -29.3466604204765 \tabularnewline
200 & 54.34 & 77.3679303531149 & -23.0279303531149 \tabularnewline
201 & 53.79 & 77.3592002857532 & -23.5692002857532 \tabularnewline
202 & 53.24 & 77.3504702183916 & -24.1104702183916 \tabularnewline
203 & 52.96 & 77.34174015103 & -24.3817401510300 \tabularnewline
204 & 52.17 & 77.3330100836683 & -25.1630100836683 \tabularnewline
205 & 51.7 & 77.3242800163067 & -25.6242800163067 \tabularnewline
206 & 58.55 & 77.315549948945 & -18.7655499489451 \tabularnewline
207 & 78.2 & 77.3068198815835 & 0.893180118416557 \tabularnewline
208 & 77.03 & 77.2980898142218 & -0.268089814221814 \tabularnewline
209 & 76.19 & 77.2893597468602 & -1.09935974686019 \tabularnewline
210 & 77.15 & 77.2806296794986 & -0.130629679498547 \tabularnewline
211 & 75.87 & 77.2718996121369 & -1.40189961213692 \tabularnewline
212 & 95.47 & 77.2631695447753 & 18.2068304552247 \tabularnewline
213 & 109.67 & 77.2544394774137 & 32.4155605225863 \tabularnewline
214 & 112.28 & 77.245709410052 & 35.034290589948 \tabularnewline
215 & 112.01 & 77.2369793426904 & 34.7730206573096 \tabularnewline
216 & 107.93 & 77.2282492753288 & 30.7017507246712 \tabularnewline
217 & 105.96 & 77.2195192079671 & 28.7404807920329 \tabularnewline
218 & 105.06 & 77.2107891406055 & 27.8492108593945 \tabularnewline
219 & 102.98 & 77.2020590732439 & 25.7779409267561 \tabularnewline
220 & 102.2 & 77.1933290058822 & 25.0066709941178 \tabularnewline
221 & 105.23 & 77.1845989385206 & 28.0454010614794 \tabularnewline
222 & 101.85 & 77.175868871159 & 24.674131128841 \tabularnewline
223 & 99.89 & 77.1671388037974 & 22.7228611962026 \tabularnewline
224 & 96.23 & 77.1584087364357 & 19.0715912635643 \tabularnewline
225 & 94.76 & 77.1496786690741 & 17.6103213309259 \tabularnewline
226 & 91.51 & 77.1409486017125 & 14.3690513982875 \tabularnewline
227 & 91.63 & 77.1322185343508 & 14.4977814656492 \tabularnewline
228 & 91.54 & 77.1234884669892 & 14.4165115330108 \tabularnewline
229 & 85.23 & 77.1147583996276 & 8.11524160037244 \tabularnewline
230 & 87.83 & 77.1060283322659 & 10.7239716677341 \tabularnewline
231 & 87.38 & 77.0972982649043 & 10.2827017350957 \tabularnewline
232 & 84.44 & 77.0885681975427 & 7.35143180245732 \tabularnewline
233 & 85.19 & 77.079838130181 & 8.11016186981895 \tabularnewline
234 & 84.03 & 77.0711080628194 & 6.95889193718059 \tabularnewline
235 & 86.73 & 77.0623779954578 & 9.66762200454222 \tabularnewline
236 & 102.52 & 77.0536479280962 & 25.4663520719038 \tabularnewline
237 & 104.45 & 77.0449178607345 & 27.4050821392655 \tabularnewline
238 & 106.98 & 77.0361877933729 & 29.9438122066271 \tabularnewline
239 & 107.02 & 77.0274577260113 & 29.9925422739887 \tabularnewline
240 & 99.26 & 77.0187276586496 & 22.2412723413504 \tabularnewline
241 & 94.45 & 77.009997591288 & 17.440002408712 \tabularnewline
242 & 113.44 & 77.0012675239264 & 36.4387324760736 \tabularnewline
243 & 157.33 & 76.9925374565647 & 80.3374625434353 \tabularnewline
244 & 147.38 & 76.9838073892031 & 70.3961926107969 \tabularnewline
245 & 171.89 & 76.9750773218415 & 94.9149226781585 \tabularnewline
246 & 171.95 & 76.9663472544799 & 94.9836527455201 \tabularnewline
247 & 132.71 & 76.9576171871182 & 55.7523828128818 \tabularnewline
248 & 126.02 & 76.9488871197566 & 49.0711128802434 \tabularnewline
249 & 121.18 & 76.940157052395 & 44.2398429476051 \tabularnewline
250 & 115.45 & 76.9314269850333 & 38.5185730149667 \tabularnewline
251 & 110.48 & 76.9226969176717 & 33.5573030823283 \tabularnewline
252 & 117.85 & 76.9139668503101 & 40.9360331496899 \tabularnewline
253 & 117.63 & 76.9052367829484 & 40.7247632170516 \tabularnewline
254 & 124.65 & 76.8965067155868 & 47.7534932844132 \tabularnewline
255 & 109.59 & 76.8877766482252 & 32.7022233517748 \tabularnewline
256 & 111.27 & 76.8790465808635 & 34.3909534191365 \tabularnewline
257 & 99.78 & 76.8703165135019 & 22.9096834864981 \tabularnewline
258 & 98.21 & 76.8615864461403 & 21.3484135538597 \tabularnewline
259 & 99.2 & 76.8528563787786 & 22.3471436212214 \tabularnewline
260 & 97.97 & 76.844126311417 & 21.125873688583 \tabularnewline
261 & 89.55 & 76.8353962440554 & 12.7146037559446 \tabularnewline
262 & 87.91 & 76.8266661766937 & 11.0833338233062 \tabularnewline
263 & 93.34 & 76.8179361093321 & 16.5220638906679 \tabularnewline
264 & 94.42 & 76.8092060419705 & 17.6107939580295 \tabularnewline
265 & 93.2 & 76.8004759746089 & 16.3995240253911 \tabularnewline
266 & 90.29 & 76.7917459072472 & 13.4982540927528 \tabularnewline
267 & 91.46 & 76.7830158398856 & 14.6769841601144 \tabularnewline
268 & 89.98 & 76.774285772524 & 13.2057142274760 \tabularnewline
269 & 88.35 & 76.7655557051623 & 11.5844442948377 \tabularnewline
270 & 88.41 & 76.7568256378007 & 11.6531743621993 \tabularnewline
271 & 82.44 & 76.7480955704391 & 5.69190442956092 \tabularnewline
272 & 79.89 & 76.7393655030774 & 3.15063449692256 \tabularnewline
273 & 75.69 & 76.7306354357158 & -1.04063543571581 \tabularnewline
274 & 75.66 & 76.7219053683542 & -1.06190536835419 \tabularnewline
275 & 84.5 & 76.7131753009925 & 7.78682469900745 \tabularnewline
276 & 96.73 & 76.7044452336309 & 20.0255547663691 \tabularnewline
277 & 87.48 & 76.6957151662693 & 10.7842848337307 \tabularnewline
278 & 82.39 & 76.6869850989077 & 5.70301490109234 \tabularnewline
279 & 83.48 & 76.678255031546 & 6.80174496845398 \tabularnewline
280 & 79.31 & 76.6695249641844 & 2.64047503581561 \tabularnewline
281 & 78.16 & 76.6607948968228 & 1.49920510317723 \tabularnewline
282 & 72.77 & 76.6520648294611 & -3.88206482946114 \tabularnewline
283 & 72.45 & 76.6433347620995 & -4.1933347620995 \tabularnewline
284 & 68.46 & 76.6346046947379 & -8.17460469473788 \tabularnewline
285 & 67.62 & 76.6258746273762 & -9.00587462737624 \tabularnewline
286 & 68.76 & 76.6171445600146 & -7.8571445600146 \tabularnewline
287 & 70.07 & 76.608414492653 & -6.53841449265299 \tabularnewline
288 & 68.55 & 76.5996844252913 & -8.04968442529135 \tabularnewline
289 & 65.3 & 76.5909543579297 & -11.2909543579297 \tabularnewline
290 & 58.96 & 76.5822242905681 & -17.6222242905681 \tabularnewline
291 & 59.17 & 76.5734942232065 & -17.4034942232065 \tabularnewline
292 & 62.37 & 76.5647641558448 & -14.1947641558448 \tabularnewline
293 & 66.28 & 76.5560340884832 & -10.2760340884832 \tabularnewline
294 & 55.62 & 76.5473040211216 & -20.9273040211216 \tabularnewline
295 & 55.23 & 76.53857395376 & -21.3085739537599 \tabularnewline
296 & 55.85 & 76.5298438863983 & -20.6798438863983 \tabularnewline
297 & 56.75 & 76.5211138190367 & -19.7711138190367 \tabularnewline
298 & 50.89 & 76.512383751675 & -25.6223837516750 \tabularnewline
299 & 53.88 & 76.5036536843134 & -22.6236536843134 \tabularnewline
300 & 52.95 & 76.4949236169518 & -23.5449236169518 \tabularnewline
301 & 55.08 & 76.4861935495902 & -21.4061935495901 \tabularnewline
302 & 53.61 & 76.4774634822285 & -22.8674634822285 \tabularnewline
303 & 58.78 & 76.4687334148669 & -17.6887334148669 \tabularnewline
304 & 61.85 & 76.4600033475052 & -14.6100033475053 \tabularnewline
305 & 55.91 & 76.4512732801436 & -20.5412732801436 \tabularnewline
306 & 53.32 & 76.442543212782 & -23.122543212782 \tabularnewline
307 & 46.41 & 76.4338131454204 & -30.0238131454204 \tabularnewline
308 & 44.57 & 76.4250830780587 & -31.8550830780587 \tabularnewline
309 & 50 & 76.4163530106971 & -26.4163530106971 \tabularnewline
310 & 50 & 76.4076229433355 & -26.4076229433355 \tabularnewline
311 & 53.36 & 76.3988928759738 & -23.0388928759738 \tabularnewline
312 & 46.23 & 76.3901628086122 & -30.1601628086122 \tabularnewline
313 & 50.45 & 76.3814327412506 & -25.9314327412506 \tabularnewline
314 & 49.07 & 76.372702673889 & -27.3027026738890 \tabularnewline
315 & 45.85 & 76.3639726065273 & -30.5139726065273 \tabularnewline
316 & 48.45 & 76.3552425391657 & -27.9052425391657 \tabularnewline
317 & 49.96 & 76.346512471804 & -26.3865124718041 \tabularnewline
318 & 46.53 & 76.3377824044424 & -29.8077824044424 \tabularnewline
319 & 50.51 & 76.3290523370808 & -25.8190523370808 \tabularnewline
320 & 47.58 & 76.3203222697192 & -28.7403222697192 \tabularnewline
321 & 48.05 & 76.3115922023575 & -28.2615922023575 \tabularnewline
322 & 46.84 & 76.3028621349959 & -29.4628621349959 \tabularnewline
323 & 47.67 & 76.2941320676343 & -28.6241320676343 \tabularnewline
324 & 49.16 & 76.2854020002726 & -27.1254020002726 \tabularnewline
325 & 55.54 & 76.276671932911 & -20.736671932911 \tabularnewline
326 & 55.82 & 76.2679418655494 & -20.4479418655494 \tabularnewline
327 & 58.22 & 76.2592117981877 & -18.0392117981878 \tabularnewline
328 & 56.19 & 76.2504817308261 & -20.0604817308261 \tabularnewline
329 & 57.77 & 76.2417516634645 & -18.4717516634645 \tabularnewline
330 & 63.19 & 76.2330215961029 & -13.0430215961029 \tabularnewline
331 & 54.76 & 76.2242915287412 & -21.4642915287412 \tabularnewline
332 & 55.74 & 76.2155614613796 & -20.4755614613796 \tabularnewline
333 & 62.54 & 76.206831394018 & -13.6668313940180 \tabularnewline
334 & 61.39 & 76.1981013266563 & -14.8081013266563 \tabularnewline
335 & 69.6 & 76.1893712592947 & -6.58937125929471 \tabularnewline
336 & 79.23 & 76.1806411919331 & 3.04935880806693 \tabularnewline
337 & 80 & 76.1719111245714 & 3.82808887542856 \tabularnewline
338 & 93.68 & 76.1631810572098 & 17.5168189427902 \tabularnewline
339 & 107.63 & 76.1544509898482 & 31.4755490101518 \tabularnewline
340 & 100.18 & 76.1457209224865 & 24.0342790775135 \tabularnewline
341 & 97.3 & 76.1369908551249 & 21.1630091448751 \tabularnewline
342 & 90.45 & 76.1282607877633 & 14.3217392122367 \tabularnewline
343 & 80.64 & 76.1195307204017 & 4.52046927959834 \tabularnewline
344 & 80.58 & 76.11080065304 & 4.46919934695997 \tabularnewline
345 & 75.82 & 76.1020705856784 & -0.282070585678402 \tabularnewline
346 & 85.59 & 76.0933405183168 & 9.49665948168324 \tabularnewline
347 & 89.35 & 76.0846104509551 & 13.2653895490449 \tabularnewline
348 & 89.42 & 76.0758803835935 & 13.3441196164065 \tabularnewline
349 & 104.73 & 76.0671503162319 & 28.6628496837681 \tabularnewline
350 & 95.32 & 76.0584202488702 & 19.2615797511298 \tabularnewline
351 & 89.27 & 76.0496901815086 & 13.2203098184914 \tabularnewline
352 & 90.44 & 76.040960114147 & 14.3990398858530 \tabularnewline
353 & 86.97 & 76.0322300467853 & 10.9377699532146 \tabularnewline
354 & 79.98 & 76.0234999794237 & 3.95650002057629 \tabularnewline
355 & 81.22 & 76.0147699120621 & 5.20523008793791 \tabularnewline
356 & 87.35 & 76.0060398447005 & 11.3439601552995 \tabularnewline
357 & 83.64 & 75.9973097773388 & 7.64269022266117 \tabularnewline
358 & 82.22 & 75.9885797099772 & 6.2314202900228 \tabularnewline
359 & 94.4 & 75.9798496426156 & 18.4201503573844 \tabularnewline
360 & 102.18 & 75.971119575254 & 26.2088804247461 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=25712&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]79.105213758081[/C][C]8.17478624191908[/C][/ROW]
[ROW][C]2[/C][C]87.28[/C][C]79.0964836907178[/C][C]8.18351630928224[/C][/ROW]
[ROW][C]3[/C][C]87.09[/C][C]79.0877536233561[/C][C]8.00224637664387[/C][/ROW]
[ROW][C]4[/C][C]86.92[/C][C]79.0790235559945[/C][C]7.8409764440055[/C][/ROW]
[ROW][C]5[/C][C]87.59[/C][C]79.0702934886329[/C][C]8.51970651136714[/C][/ROW]
[ROW][C]6[/C][C]90.72[/C][C]79.0615634212712[/C][C]11.6584365787288[/C][/ROW]
[ROW][C]7[/C][C]90.69[/C][C]79.0528333539096[/C][C]11.6371666460904[/C][/ROW]
[ROW][C]8[/C][C]90.3[/C][C]79.044103286548[/C][C]11.2558967134520[/C][/ROW]
[ROW][C]9[/C][C]89.55[/C][C]79.0353732191863[/C][C]10.5146267808137[/C][/ROW]
[ROW][C]10[/C][C]88.94[/C][C]79.0266431518247[/C][C]9.91335684817528[/C][/ROW]
[ROW][C]11[/C][C]88.41[/C][C]79.0179130844631[/C][C]9.39208691553691[/C][/ROW]
[ROW][C]12[/C][C]87.82[/C][C]79.0091830171014[/C][C]8.81081698289854[/C][/ROW]
[ROW][C]13[/C][C]87.07[/C][C]79.0004529497398[/C][C]8.06954705026017[/C][/ROW]
[ROW][C]14[/C][C]86.82[/C][C]78.9917228823782[/C][C]7.8282771176218[/C][/ROW]
[ROW][C]15[/C][C]86.4[/C][C]78.9829928150166[/C][C]7.41700718498345[/C][/ROW]
[ROW][C]16[/C][C]86.02[/C][C]78.974262747655[/C][C]7.04573725234507[/C][/ROW]
[ROW][C]17[/C][C]85.66[/C][C]78.9655326802933[/C][C]6.6944673197067[/C][/ROW]
[ROW][C]18[/C][C]85.32[/C][C]78.9568026129317[/C][C]6.36319738706833[/C][/ROW]
[ROW][C]19[/C][C]85[/C][C]78.94807254557[/C][C]6.05192745442996[/C][/ROW]
[ROW][C]20[/C][C]84.67[/C][C]78.9393424782084[/C][C]5.7306575217916[/C][/ROW]
[ROW][C]21[/C][C]83.94[/C][C]78.9306124108468[/C][C]5.00938758915322[/C][/ROW]
[ROW][C]22[/C][C]82.83[/C][C]78.9218823434851[/C][C]3.90811765651485[/C][/ROW]
[ROW][C]23[/C][C]81.95[/C][C]78.9131522761235[/C][C]3.03684772387649[/C][/ROW]
[ROW][C]24[/C][C]81.19[/C][C]78.9044222087619[/C][C]2.28557779123812[/C][/ROW]
[ROW][C]25[/C][C]80.48[/C][C]78.8956921414002[/C][C]1.58430785859975[/C][/ROW]
[ROW][C]26[/C][C]78.86[/C][C]78.8869620740386[/C][C]-0.0269620740386208[/C][/ROW]
[ROW][C]27[/C][C]69.47[/C][C]78.878232006677[/C][C]-9.4082320066770[/C][/ROW]
[ROW][C]28[/C][C]68.77[/C][C]78.8695019393154[/C][C]-10.0995019393154[/C][/ROW]
[ROW][C]29[/C][C]70.06[/C][C]78.8607718719537[/C][C]-8.80077187195373[/C][/ROW]
[ROW][C]30[/C][C]73.95[/C][C]78.8520418045921[/C][C]-4.9020418045921[/C][/ROW]
[ROW][C]31[/C][C]75.8[/C][C]78.8433117372305[/C][C]-3.04331173723047[/C][/ROW]
[ROW][C]32[/C][C]77.79[/C][C]78.8345816698688[/C][C]-1.04458166986883[/C][/ROW]
[ROW][C]33[/C][C]81.57[/C][C]78.8258516025072[/C][C]2.74414839749279[/C][/ROW]
[ROW][C]34[/C][C]83.07[/C][C]78.8171215351456[/C][C]4.25287846485442[/C][/ROW]
[ROW][C]35[/C][C]84.34[/C][C]78.808391467784[/C][C]5.53160853221606[/C][/ROW]
[ROW][C]36[/C][C]85.1[/C][C]78.7996614004223[/C][C]6.30033859957768[/C][/ROW]
[ROW][C]37[/C][C]85.25[/C][C]78.7909313330607[/C][C]6.45906866693932[/C][/ROW]
[ROW][C]38[/C][C]84.26[/C][C]78.782201265699[/C][C]5.47779873430095[/C][/ROW]
[ROW][C]39[/C][C]83.63[/C][C]78.7734711983374[/C][C]4.85652880166258[/C][/ROW]
[ROW][C]40[/C][C]86.44[/C][C]78.7647411309758[/C][C]7.67525886902421[/C][/ROW]
[ROW][C]41[/C][C]85.3[/C][C]78.7560110636142[/C][C]6.54398893638584[/C][/ROW]
[ROW][C]42[/C][C]84.1[/C][C]78.7472809962525[/C][C]5.35271900374747[/C][/ROW]
[ROW][C]43[/C][C]83.36[/C][C]78.7385509288909[/C][C]4.6214490711091[/C][/ROW]
[ROW][C]44[/C][C]82.48[/C][C]78.7298208615293[/C][C]3.75017913847074[/C][/ROW]
[ROW][C]45[/C][C]81.58[/C][C]78.7210907941676[/C][C]2.85890920583236[/C][/ROW]
[ROW][C]46[/C][C]80.47[/C][C]78.712360726806[/C][C]1.75763927319399[/C][/ROW]
[ROW][C]47[/C][C]79.34[/C][C]78.7036306594444[/C][C]0.63636934055563[/C][/ROW]
[ROW][C]48[/C][C]82.13[/C][C]78.6949005920827[/C][C]3.43509940791725[/C][/ROW]
[ROW][C]49[/C][C]81.69[/C][C]78.6861705247211[/C][C]3.00382947527889[/C][/ROW]
[ROW][C]50[/C][C]80.7[/C][C]78.6774404573595[/C][C]2.02255954264052[/C][/ROW]
[ROW][C]51[/C][C]79.88[/C][C]78.6687103899979[/C][C]1.21128961000215[/C][/ROW]
[ROW][C]52[/C][C]79.16[/C][C]78.6599803226362[/C][C]0.500019677363777[/C][/ROW]
[ROW][C]53[/C][C]78.38[/C][C]78.6512502552746[/C][C]-0.271250255274593[/C][/ROW]
[ROW][C]54[/C][C]77.42[/C][C]78.642520187913[/C][C]-1.22252018791296[/C][/ROW]
[ROW][C]55[/C][C]76.47[/C][C]78.6337901205513[/C][C]-2.16379012055133[/C][/ROW]
[ROW][C]56[/C][C]75.46[/C][C]78.6250600531897[/C][C]-3.1650600531897[/C][/ROW]
[ROW][C]57[/C][C]74.48[/C][C]78.616329985828[/C][C]-4.13632998582806[/C][/ROW]
[ROW][C]58[/C][C]78.27[/C][C]78.6075999184664[/C][C]-0.337599918466439[/C][/ROW]
[ROW][C]59[/C][C]80.7[/C][C]78.5988698511048[/C][C]2.1011301488952[/C][/ROW]
[ROW][C]60[/C][C]79.91[/C][C]78.5901397837432[/C][C]1.31986021625682[/C][/ROW]
[ROW][C]61[/C][C]78.75[/C][C]78.5814097163815[/C][C]0.168590283618458[/C][/ROW]
[ROW][C]62[/C][C]77.78[/C][C]78.5726796490199[/C][C]-0.79267964901991[/C][/ROW]
[ROW][C]63[/C][C]81.14[/C][C]78.5639495816583[/C][C]2.57605041834172[/C][/ROW]
[ROW][C]64[/C][C]81.08[/C][C]78.5552195142967[/C][C]2.52478048570335[/C][/ROW]
[ROW][C]65[/C][C]80.03[/C][C]78.546489446935[/C][C]1.48351055306498[/C][/ROW]
[ROW][C]66[/C][C]78.91[/C][C]78.5377593795734[/C][C]0.372240620426608[/C][/ROW]
[ROW][C]67[/C][C]78.01[/C][C]78.5290293122118[/C][C]-0.519029312211752[/C][/ROW]
[ROW][C]68[/C][C]76.9[/C][C]78.5202992448501[/C][C]-1.62029924485012[/C][/ROW]
[ROW][C]69[/C][C]75.97[/C][C]78.5115691774885[/C][C]-2.5415691774885[/C][/ROW]
[ROW][C]70[/C][C]81.93[/C][C]78.5028391101269[/C][C]3.42716088987314[/C][/ROW]
[ROW][C]71[/C][C]80.27[/C][C]78.4941090427652[/C][C]1.77589095723476[/C][/ROW]
[ROW][C]72[/C][C]78.67[/C][C]78.4853789754036[/C][C]0.184621024596398[/C][/ROW]
[ROW][C]73[/C][C]77.42[/C][C]78.476648908042[/C][C]-1.05664890804197[/C][/ROW]
[ROW][C]74[/C][C]76.16[/C][C]78.4679188406803[/C][C]-2.30791884068035[/C][/ROW]
[ROW][C]75[/C][C]74.7[/C][C]78.4591887733187[/C][C]-3.75918877331871[/C][/ROW]
[ROW][C]76[/C][C]76.39[/C][C]78.450458705957[/C][C]-2.06045870595708[/C][/ROW]
[ROW][C]77[/C][C]76.04[/C][C]78.4417286385954[/C][C]-2.40172863859544[/C][/ROW]
[ROW][C]78[/C][C]74.65[/C][C]78.4329985712338[/C][C]-3.78299857123381[/C][/ROW]
[ROW][C]79[/C][C]73.29[/C][C]78.4242685038722[/C][C]-5.13426850387218[/C][/ROW]
[ROW][C]80[/C][C]71.79[/C][C]78.4155384365106[/C][C]-6.62553843651055[/C][/ROW]
[ROW][C]81[/C][C]74.39[/C][C]78.406808369149[/C][C]-4.01680836914893[/C][/ROW]
[ROW][C]82[/C][C]74.91[/C][C]78.3980783017873[/C][C]-3.4880783017873[/C][/ROW]
[ROW][C]83[/C][C]74.54[/C][C]78.3893482344257[/C][C]-3.84934823442566[/C][/ROW]
[ROW][C]84[/C][C]73.08[/C][C]78.380618167064[/C][C]-5.30061816706404[/C][/ROW]
[ROW][C]85[/C][C]72.75[/C][C]78.3718880997024[/C][C]-5.6218880997024[/C][/ROW]
[ROW][C]86[/C][C]71.32[/C][C]78.3631580323408[/C][C]-7.04315803234078[/C][/ROW]
[ROW][C]87[/C][C]70.38[/C][C]78.3544279649791[/C][C]-7.97442796497915[/C][/ROW]
[ROW][C]88[/C][C]70.35[/C][C]78.3456978976175[/C][C]-7.99569789761752[/C][/ROW]
[ROW][C]89[/C][C]70.01[/C][C]78.3369678302559[/C][C]-8.32696783025587[/C][/ROW]
[ROW][C]90[/C][C]69.36[/C][C]78.3282377628942[/C][C]-8.96823776289425[/C][/ROW]
[ROW][C]91[/C][C]67.77[/C][C]78.3195076955326[/C][C]-10.5495076955326[/C][/ROW]
[ROW][C]92[/C][C]69.26[/C][C]78.310777628171[/C][C]-9.05077762817098[/C][/ROW]
[ROW][C]93[/C][C]69.8[/C][C]78.3020475608094[/C][C]-8.50204756080936[/C][/ROW]
[ROW][C]94[/C][C]68.38[/C][C]78.2933174934477[/C][C]-9.91331749344773[/C][/ROW]
[ROW][C]95[/C][C]67.62[/C][C]78.284587426086[/C][C]-10.6645874260861[/C][/ROW]
[ROW][C]96[/C][C]68.39[/C][C]78.2758573587245[/C][C]-9.88585735872446[/C][/ROW]
[ROW][C]97[/C][C]66.95[/C][C]78.2671272913628[/C][C]-11.3171272913628[/C][/ROW]
[ROW][C]98[/C][C]65.21[/C][C]78.2583972240012[/C][C]-13.0483972240012[/C][/ROW]
[ROW][C]99[/C][C]66.64[/C][C]78.2496671566396[/C][C]-11.6096671566396[/C][/ROW]
[ROW][C]100[/C][C]63.45[/C][C]78.240937089278[/C][C]-14.7909370892779[/C][/ROW]
[ROW][C]101[/C][C]60.66[/C][C]78.2322070219163[/C][C]-17.5722070219163[/C][/ROW]
[ROW][C]102[/C][C]62.34[/C][C]78.2234769545547[/C][C]-15.8834769545547[/C][/ROW]
[ROW][C]103[/C][C]60.32[/C][C]78.214746887193[/C][C]-17.8947468871930[/C][/ROW]
[ROW][C]104[/C][C]58.64[/C][C]78.2060168198314[/C][C]-19.5660168198314[/C][/ROW]
[ROW][C]105[/C][C]60.46[/C][C]78.1972867524698[/C][C]-17.7372867524698[/C][/ROW]
[ROW][C]106[/C][C]58.59[/C][C]78.1885566851082[/C][C]-19.5985566851082[/C][/ROW]
[ROW][C]107[/C][C]61.87[/C][C]78.1798266177465[/C][C]-16.3098266177465[/C][/ROW]
[ROW][C]108[/C][C]61.85[/C][C]78.1710965503849[/C][C]-16.3210965503849[/C][/ROW]
[ROW][C]109[/C][C]67.44[/C][C]78.1623664830233[/C][C]-10.7223664830233[/C][/ROW]
[ROW][C]110[/C][C]77.06[/C][C]78.1536364156616[/C][C]-1.09363641566163[/C][/ROW]
[ROW][C]111[/C][C]91.74[/C][C]78.1449063483[/C][C]13.5950936517[/C][/ROW]
[ROW][C]112[/C][C]93.15[/C][C]78.1361762809384[/C][C]15.0138237190616[/C][/ROW]
[ROW][C]113[/C][C]94.15[/C][C]78.1274462135767[/C][C]16.0225537864233[/C][/ROW]
[ROW][C]114[/C][C]93.11[/C][C]78.1187161462151[/C][C]14.9912838537849[/C][/ROW]
[ROW][C]115[/C][C]91.51[/C][C]78.1099860788535[/C][C]13.4000139211465[/C][/ROW]
[ROW][C]116[/C][C]89.96[/C][C]78.1012560114918[/C][C]11.8587439885081[/C][/ROW]
[ROW][C]117[/C][C]88.16[/C][C]78.0925259441302[/C][C]10.0674740558698[/C][/ROW]
[ROW][C]118[/C][C]86.98[/C][C]78.0837958767686[/C][C]8.89620412323142[/C][/ROW]
[ROW][C]119[/C][C]88.03[/C][C]78.075065809407[/C][C]9.95493419059305[/C][/ROW]
[ROW][C]120[/C][C]86.24[/C][C]78.0663357420453[/C][C]8.17366425795467[/C][/ROW]
[ROW][C]121[/C][C]84.65[/C][C]78.0576056746837[/C][C]6.59239432531631[/C][/ROW]
[ROW][C]122[/C][C]83.23[/C][C]78.048875607322[/C][C]5.18112439267794[/C][/ROW]
[ROW][C]123[/C][C]81.7[/C][C]78.0401455399604[/C][C]3.65985446003957[/C][/ROW]
[ROW][C]124[/C][C]80.25[/C][C]78.0314154725988[/C][C]2.2185845274012[/C][/ROW]
[ROW][C]125[/C][C]78.8[/C][C]78.0226854052372[/C][C]0.777314594762826[/C][/ROW]
[ROW][C]126[/C][C]77.51[/C][C]78.0139553378755[/C][C]-0.503955337875535[/C][/ROW]
[ROW][C]127[/C][C]76.2[/C][C]78.0052252705139[/C][C]-1.80522527051391[/C][/ROW]
[ROW][C]128[/C][C]75.04[/C][C]77.9964952031523[/C][C]-2.95649520315227[/C][/ROW]
[ROW][C]129[/C][C]74[/C][C]77.9877651357907[/C][C]-3.98776513579065[/C][/ROW]
[ROW][C]130[/C][C]75.49[/C][C]77.979035068429[/C][C]-2.48903506842902[/C][/ROW]
[ROW][C]131[/C][C]77.14[/C][C]77.9703050010674[/C][C]-0.830305001067386[/C][/ROW]
[ROW][C]132[/C][C]76.15[/C][C]77.9615749337058[/C][C]-1.81157493370575[/C][/ROW]
[ROW][C]133[/C][C]76.27[/C][C]77.9528448663441[/C][C]-1.68284486634413[/C][/ROW]
[ROW][C]134[/C][C]78.19[/C][C]77.9441147989825[/C][C]0.245885201017504[/C][/ROW]
[ROW][C]135[/C][C]76.49[/C][C]77.9353847316209[/C][C]-1.44538473162087[/C][/ROW]
[ROW][C]136[/C][C]77.31[/C][C]77.9266546642592[/C][C]-0.61665466425923[/C][/ROW]
[ROW][C]137[/C][C]76.65[/C][C]77.9179245968976[/C][C]-1.26792459689760[/C][/ROW]
[ROW][C]138[/C][C]74.99[/C][C]77.909194529536[/C][C]-2.91919452953598[/C][/ROW]
[ROW][C]139[/C][C]73.51[/C][C]77.9004644621743[/C][C]-4.39046446217433[/C][/ROW]
[ROW][C]140[/C][C]72.07[/C][C]77.8917343948127[/C][C]-5.82173439481272[/C][/ROW]
[ROW][C]141[/C][C]70.59[/C][C]77.8830043274511[/C][C]-7.29300432745107[/C][/ROW]
[ROW][C]142[/C][C]71.96[/C][C]77.8742742600895[/C][C]-5.91427426008945[/C][/ROW]
[ROW][C]143[/C][C]76.29[/C][C]77.8655441927278[/C][C]-1.57554419272781[/C][/ROW]
[ROW][C]144[/C][C]74.86[/C][C]77.8568141253662[/C][C]-2.99681412536619[/C][/ROW]
[ROW][C]145[/C][C]74.93[/C][C]77.8480840580046[/C][C]-2.91808405800455[/C][/ROW]
[ROW][C]146[/C][C]71.9[/C][C]77.8393539906429[/C][C]-5.93935399064292[/C][/ROW]
[ROW][C]147[/C][C]71.01[/C][C]77.8306239232813[/C][C]-6.82062392328129[/C][/ROW]
[ROW][C]148[/C][C]77.47[/C][C]77.8218938559197[/C][C]-0.351893855919664[/C][/ROW]
[ROW][C]149[/C][C]75.78[/C][C]77.813163788558[/C][C]-2.03316378855803[/C][/ROW]
[ROW][C]150[/C][C]76.6[/C][C]77.8044337211964[/C][C]-1.20443372119641[/C][/ROW]
[ROW][C]151[/C][C]76.07[/C][C]77.7957036538348[/C][C]-1.72570365383478[/C][/ROW]
[ROW][C]152[/C][C]74.57[/C][C]77.7869735864731[/C][C]-3.21697358647315[/C][/ROW]
[ROW][C]153[/C][C]73.02[/C][C]77.7782435191115[/C][C]-4.75824351911151[/C][/ROW]
[ROW][C]154[/C][C]72.65[/C][C]77.7695134517499[/C][C]-5.11951345174987[/C][/ROW]
[ROW][C]155[/C][C]73.16[/C][C]77.7607833843882[/C][C]-4.60078338438825[/C][/ROW]
[ROW][C]156[/C][C]71.53[/C][C]77.7520533170266[/C][C]-6.22205331702661[/C][/ROW]
[ROW][C]157[/C][C]69.78[/C][C]77.743323249665[/C][C]-7.96332324966498[/C][/ROW]
[ROW][C]158[/C][C]67.98[/C][C]77.7345931823034[/C][C]-9.75459318230335[/C][/ROW]
[ROW][C]159[/C][C]69.96[/C][C]77.7258631149417[/C][C]-7.76586311494173[/C][/ROW]
[ROW][C]160[/C][C]72.16[/C][C]77.7171330475801[/C][C]-5.5571330475801[/C][/ROW]
[ROW][C]161[/C][C]70.47[/C][C]77.7084029802185[/C][C]-7.23840298021846[/C][/ROW]
[ROW][C]162[/C][C]68.86[/C][C]77.6996729128568[/C][C]-8.83967291285683[/C][/ROW]
[ROW][C]163[/C][C]67.37[/C][C]77.6909428454952[/C][C]-10.3209428454952[/C][/ROW]
[ROW][C]164[/C][C]65.87[/C][C]77.6822127781336[/C][C]-11.8122127781336[/C][/ROW]
[ROW][C]165[/C][C]72.16[/C][C]77.673482710772[/C][C]-5.51348271077194[/C][/ROW]
[ROW][C]166[/C][C]71.34[/C][C]77.6647526434103[/C][C]-6.3247526434103[/C][/ROW]
[ROW][C]167[/C][C]69.93[/C][C]77.6560225760487[/C][C]-7.72602257604867[/C][/ROW]
[ROW][C]168[/C][C]68.44[/C][C]77.647292508687[/C][C]-9.20729250868705[/C][/ROW]
[ROW][C]169[/C][C]67.16[/C][C]77.6385624413254[/C][C]-10.4785624413254[/C][/ROW]
[ROW][C]170[/C][C]66.01[/C][C]77.6298323739638[/C][C]-11.6198323739638[/C][/ROW]
[ROW][C]171[/C][C]67.25[/C][C]77.6211023066022[/C][C]-10.3711023066022[/C][/ROW]
[ROW][C]172[/C][C]70.91[/C][C]77.6123722392405[/C][C]-6.70237223924053[/C][/ROW]
[ROW][C]173[/C][C]69.75[/C][C]77.6036421718789[/C][C]-7.8536421718789[/C][/ROW]
[ROW][C]174[/C][C]68.59[/C][C]77.5949121045173[/C][C]-9.00491210451726[/C][/ROW]
[ROW][C]175[/C][C]67.48[/C][C]77.5861820371556[/C][C]-10.1061820371556[/C][/ROW]
[ROW][C]176[/C][C]66.31[/C][C]77.577451969794[/C][C]-11.267451969794[/C][/ROW]
[ROW][C]177[/C][C]64.81[/C][C]77.5687219024324[/C][C]-12.7587219024324[/C][/ROW]
[ROW][C]178[/C][C]66.58[/C][C]77.5599918350707[/C][C]-10.9799918350707[/C][/ROW]
[ROW][C]179[/C][C]65.97[/C][C]77.5512617677091[/C][C]-11.5812617677091[/C][/ROW]
[ROW][C]180[/C][C]64.7[/C][C]77.5425317003475[/C][C]-12.8425317003475[/C][/ROW]
[ROW][C]181[/C][C]64.7[/C][C]77.5338016329858[/C][C]-12.8338016329858[/C][/ROW]
[ROW][C]182[/C][C]60.94[/C][C]77.5250715656242[/C][C]-16.5850715656242[/C][/ROW]
[ROW][C]183[/C][C]59.08[/C][C]77.5163414982626[/C][C]-18.4363414982626[/C][/ROW]
[ROW][C]184[/C][C]58.42[/C][C]77.507611430901[/C][C]-19.0876114309010[/C][/ROW]
[ROW][C]185[/C][C]57.77[/C][C]77.4988813635393[/C][C]-19.7288813635393[/C][/ROW]
[ROW][C]186[/C][C]57.11[/C][C]77.4901512961777[/C][C]-20.3801512961777[/C][/ROW]
[ROW][C]187[/C][C]53.31[/C][C]77.481421228816[/C][C]-24.1714212288161[/C][/ROW]
[ROW][C]188[/C][C]49.96[/C][C]77.4726911614544[/C][C]-27.5126911614544[/C][/ROW]
[ROW][C]189[/C][C]49.4[/C][C]77.4639610940928[/C][C]-28.0639610940928[/C][/ROW]
[ROW][C]190[/C][C]48.84[/C][C]77.4552310267312[/C][C]-28.6152310267312[/C][/ROW]
[ROW][C]191[/C][C]48.3[/C][C]77.4465009593695[/C][C]-29.1465009593695[/C][/ROW]
[ROW][C]192[/C][C]47.74[/C][C]77.4377708920079[/C][C]-29.6977708920079[/C][/ROW]
[ROW][C]193[/C][C]47.24[/C][C]77.4290408246463[/C][C]-30.1890408246463[/C][/ROW]
[ROW][C]194[/C][C]46.76[/C][C]77.4203107572847[/C][C]-30.6603107572846[/C][/ROW]
[ROW][C]195[/C][C]46.29[/C][C]77.411580689923[/C][C]-31.121580689923[/C][/ROW]
[ROW][C]196[/C][C]48.9[/C][C]77.4028506225614[/C][C]-28.5028506225614[/C][/ROW]
[ROW][C]197[/C][C]49.23[/C][C]77.3941205551997[/C][C]-28.1641205551998[/C][/ROW]
[ROW][C]198[/C][C]48.53[/C][C]77.3853904878381[/C][C]-28.8553904878381[/C][/ROW]
[ROW][C]199[/C][C]48.03[/C][C]77.3766604204765[/C][C]-29.3466604204765[/C][/ROW]
[ROW][C]200[/C][C]54.34[/C][C]77.3679303531149[/C][C]-23.0279303531149[/C][/ROW]
[ROW][C]201[/C][C]53.79[/C][C]77.3592002857532[/C][C]-23.5692002857532[/C][/ROW]
[ROW][C]202[/C][C]53.24[/C][C]77.3504702183916[/C][C]-24.1104702183916[/C][/ROW]
[ROW][C]203[/C][C]52.96[/C][C]77.34174015103[/C][C]-24.3817401510300[/C][/ROW]
[ROW][C]204[/C][C]52.17[/C][C]77.3330100836683[/C][C]-25.1630100836683[/C][/ROW]
[ROW][C]205[/C][C]51.7[/C][C]77.3242800163067[/C][C]-25.6242800163067[/C][/ROW]
[ROW][C]206[/C][C]58.55[/C][C]77.315549948945[/C][C]-18.7655499489451[/C][/ROW]
[ROW][C]207[/C][C]78.2[/C][C]77.3068198815835[/C][C]0.893180118416557[/C][/ROW]
[ROW][C]208[/C][C]77.03[/C][C]77.2980898142218[/C][C]-0.268089814221814[/C][/ROW]
[ROW][C]209[/C][C]76.19[/C][C]77.2893597468602[/C][C]-1.09935974686019[/C][/ROW]
[ROW][C]210[/C][C]77.15[/C][C]77.2806296794986[/C][C]-0.130629679498547[/C][/ROW]
[ROW][C]211[/C][C]75.87[/C][C]77.2718996121369[/C][C]-1.40189961213692[/C][/ROW]
[ROW][C]212[/C][C]95.47[/C][C]77.2631695447753[/C][C]18.2068304552247[/C][/ROW]
[ROW][C]213[/C][C]109.67[/C][C]77.2544394774137[/C][C]32.4155605225863[/C][/ROW]
[ROW][C]214[/C][C]112.28[/C][C]77.245709410052[/C][C]35.034290589948[/C][/ROW]
[ROW][C]215[/C][C]112.01[/C][C]77.2369793426904[/C][C]34.7730206573096[/C][/ROW]
[ROW][C]216[/C][C]107.93[/C][C]77.2282492753288[/C][C]30.7017507246712[/C][/ROW]
[ROW][C]217[/C][C]105.96[/C][C]77.2195192079671[/C][C]28.7404807920329[/C][/ROW]
[ROW][C]218[/C][C]105.06[/C][C]77.2107891406055[/C][C]27.8492108593945[/C][/ROW]
[ROW][C]219[/C][C]102.98[/C][C]77.2020590732439[/C][C]25.7779409267561[/C][/ROW]
[ROW][C]220[/C][C]102.2[/C][C]77.1933290058822[/C][C]25.0066709941178[/C][/ROW]
[ROW][C]221[/C][C]105.23[/C][C]77.1845989385206[/C][C]28.0454010614794[/C][/ROW]
[ROW][C]222[/C][C]101.85[/C][C]77.175868871159[/C][C]24.674131128841[/C][/ROW]
[ROW][C]223[/C][C]99.89[/C][C]77.1671388037974[/C][C]22.7228611962026[/C][/ROW]
[ROW][C]224[/C][C]96.23[/C][C]77.1584087364357[/C][C]19.0715912635643[/C][/ROW]
[ROW][C]225[/C][C]94.76[/C][C]77.1496786690741[/C][C]17.6103213309259[/C][/ROW]
[ROW][C]226[/C][C]91.51[/C][C]77.1409486017125[/C][C]14.3690513982875[/C][/ROW]
[ROW][C]227[/C][C]91.63[/C][C]77.1322185343508[/C][C]14.4977814656492[/C][/ROW]
[ROW][C]228[/C][C]91.54[/C][C]77.1234884669892[/C][C]14.4165115330108[/C][/ROW]
[ROW][C]229[/C][C]85.23[/C][C]77.1147583996276[/C][C]8.11524160037244[/C][/ROW]
[ROW][C]230[/C][C]87.83[/C][C]77.1060283322659[/C][C]10.7239716677341[/C][/ROW]
[ROW][C]231[/C][C]87.38[/C][C]77.0972982649043[/C][C]10.2827017350957[/C][/ROW]
[ROW][C]232[/C][C]84.44[/C][C]77.0885681975427[/C][C]7.35143180245732[/C][/ROW]
[ROW][C]233[/C][C]85.19[/C][C]77.079838130181[/C][C]8.11016186981895[/C][/ROW]
[ROW][C]234[/C][C]84.03[/C][C]77.0711080628194[/C][C]6.95889193718059[/C][/ROW]
[ROW][C]235[/C][C]86.73[/C][C]77.0623779954578[/C][C]9.66762200454222[/C][/ROW]
[ROW][C]236[/C][C]102.52[/C][C]77.0536479280962[/C][C]25.4663520719038[/C][/ROW]
[ROW][C]237[/C][C]104.45[/C][C]77.0449178607345[/C][C]27.4050821392655[/C][/ROW]
[ROW][C]238[/C][C]106.98[/C][C]77.0361877933729[/C][C]29.9438122066271[/C][/ROW]
[ROW][C]239[/C][C]107.02[/C][C]77.0274577260113[/C][C]29.9925422739887[/C][/ROW]
[ROW][C]240[/C][C]99.26[/C][C]77.0187276586496[/C][C]22.2412723413504[/C][/ROW]
[ROW][C]241[/C][C]94.45[/C][C]77.009997591288[/C][C]17.440002408712[/C][/ROW]
[ROW][C]242[/C][C]113.44[/C][C]77.0012675239264[/C][C]36.4387324760736[/C][/ROW]
[ROW][C]243[/C][C]157.33[/C][C]76.9925374565647[/C][C]80.3374625434353[/C][/ROW]
[ROW][C]244[/C][C]147.38[/C][C]76.9838073892031[/C][C]70.3961926107969[/C][/ROW]
[ROW][C]245[/C][C]171.89[/C][C]76.9750773218415[/C][C]94.9149226781585[/C][/ROW]
[ROW][C]246[/C][C]171.95[/C][C]76.9663472544799[/C][C]94.9836527455201[/C][/ROW]
[ROW][C]247[/C][C]132.71[/C][C]76.9576171871182[/C][C]55.7523828128818[/C][/ROW]
[ROW][C]248[/C][C]126.02[/C][C]76.9488871197566[/C][C]49.0711128802434[/C][/ROW]
[ROW][C]249[/C][C]121.18[/C][C]76.940157052395[/C][C]44.2398429476051[/C][/ROW]
[ROW][C]250[/C][C]115.45[/C][C]76.9314269850333[/C][C]38.5185730149667[/C][/ROW]
[ROW][C]251[/C][C]110.48[/C][C]76.9226969176717[/C][C]33.5573030823283[/C][/ROW]
[ROW][C]252[/C][C]117.85[/C][C]76.9139668503101[/C][C]40.9360331496899[/C][/ROW]
[ROW][C]253[/C][C]117.63[/C][C]76.9052367829484[/C][C]40.7247632170516[/C][/ROW]
[ROW][C]254[/C][C]124.65[/C][C]76.8965067155868[/C][C]47.7534932844132[/C][/ROW]
[ROW][C]255[/C][C]109.59[/C][C]76.8877766482252[/C][C]32.7022233517748[/C][/ROW]
[ROW][C]256[/C][C]111.27[/C][C]76.8790465808635[/C][C]34.3909534191365[/C][/ROW]
[ROW][C]257[/C][C]99.78[/C][C]76.8703165135019[/C][C]22.9096834864981[/C][/ROW]
[ROW][C]258[/C][C]98.21[/C][C]76.8615864461403[/C][C]21.3484135538597[/C][/ROW]
[ROW][C]259[/C][C]99.2[/C][C]76.8528563787786[/C][C]22.3471436212214[/C][/ROW]
[ROW][C]260[/C][C]97.97[/C][C]76.844126311417[/C][C]21.125873688583[/C][/ROW]
[ROW][C]261[/C][C]89.55[/C][C]76.8353962440554[/C][C]12.7146037559446[/C][/ROW]
[ROW][C]262[/C][C]87.91[/C][C]76.8266661766937[/C][C]11.0833338233062[/C][/ROW]
[ROW][C]263[/C][C]93.34[/C][C]76.8179361093321[/C][C]16.5220638906679[/C][/ROW]
[ROW][C]264[/C][C]94.42[/C][C]76.8092060419705[/C][C]17.6107939580295[/C][/ROW]
[ROW][C]265[/C][C]93.2[/C][C]76.8004759746089[/C][C]16.3995240253911[/C][/ROW]
[ROW][C]266[/C][C]90.29[/C][C]76.7917459072472[/C][C]13.4982540927528[/C][/ROW]
[ROW][C]267[/C][C]91.46[/C][C]76.7830158398856[/C][C]14.6769841601144[/C][/ROW]
[ROW][C]268[/C][C]89.98[/C][C]76.774285772524[/C][C]13.2057142274760[/C][/ROW]
[ROW][C]269[/C][C]88.35[/C][C]76.7655557051623[/C][C]11.5844442948377[/C][/ROW]
[ROW][C]270[/C][C]88.41[/C][C]76.7568256378007[/C][C]11.6531743621993[/C][/ROW]
[ROW][C]271[/C][C]82.44[/C][C]76.7480955704391[/C][C]5.69190442956092[/C][/ROW]
[ROW][C]272[/C][C]79.89[/C][C]76.7393655030774[/C][C]3.15063449692256[/C][/ROW]
[ROW][C]273[/C][C]75.69[/C][C]76.7306354357158[/C][C]-1.04063543571581[/C][/ROW]
[ROW][C]274[/C][C]75.66[/C][C]76.7219053683542[/C][C]-1.06190536835419[/C][/ROW]
[ROW][C]275[/C][C]84.5[/C][C]76.7131753009925[/C][C]7.78682469900745[/C][/ROW]
[ROW][C]276[/C][C]96.73[/C][C]76.7044452336309[/C][C]20.0255547663691[/C][/ROW]
[ROW][C]277[/C][C]87.48[/C][C]76.6957151662693[/C][C]10.7842848337307[/C][/ROW]
[ROW][C]278[/C][C]82.39[/C][C]76.6869850989077[/C][C]5.70301490109234[/C][/ROW]
[ROW][C]279[/C][C]83.48[/C][C]76.678255031546[/C][C]6.80174496845398[/C][/ROW]
[ROW][C]280[/C][C]79.31[/C][C]76.6695249641844[/C][C]2.64047503581561[/C][/ROW]
[ROW][C]281[/C][C]78.16[/C][C]76.6607948968228[/C][C]1.49920510317723[/C][/ROW]
[ROW][C]282[/C][C]72.77[/C][C]76.6520648294611[/C][C]-3.88206482946114[/C][/ROW]
[ROW][C]283[/C][C]72.45[/C][C]76.6433347620995[/C][C]-4.1933347620995[/C][/ROW]
[ROW][C]284[/C][C]68.46[/C][C]76.6346046947379[/C][C]-8.17460469473788[/C][/ROW]
[ROW][C]285[/C][C]67.62[/C][C]76.6258746273762[/C][C]-9.00587462737624[/C][/ROW]
[ROW][C]286[/C][C]68.76[/C][C]76.6171445600146[/C][C]-7.8571445600146[/C][/ROW]
[ROW][C]287[/C][C]70.07[/C][C]76.608414492653[/C][C]-6.53841449265299[/C][/ROW]
[ROW][C]288[/C][C]68.55[/C][C]76.5996844252913[/C][C]-8.04968442529135[/C][/ROW]
[ROW][C]289[/C][C]65.3[/C][C]76.5909543579297[/C][C]-11.2909543579297[/C][/ROW]
[ROW][C]290[/C][C]58.96[/C][C]76.5822242905681[/C][C]-17.6222242905681[/C][/ROW]
[ROW][C]291[/C][C]59.17[/C][C]76.5734942232065[/C][C]-17.4034942232065[/C][/ROW]
[ROW][C]292[/C][C]62.37[/C][C]76.5647641558448[/C][C]-14.1947641558448[/C][/ROW]
[ROW][C]293[/C][C]66.28[/C][C]76.5560340884832[/C][C]-10.2760340884832[/C][/ROW]
[ROW][C]294[/C][C]55.62[/C][C]76.5473040211216[/C][C]-20.9273040211216[/C][/ROW]
[ROW][C]295[/C][C]55.23[/C][C]76.53857395376[/C][C]-21.3085739537599[/C][/ROW]
[ROW][C]296[/C][C]55.85[/C][C]76.5298438863983[/C][C]-20.6798438863983[/C][/ROW]
[ROW][C]297[/C][C]56.75[/C][C]76.5211138190367[/C][C]-19.7711138190367[/C][/ROW]
[ROW][C]298[/C][C]50.89[/C][C]76.512383751675[/C][C]-25.6223837516750[/C][/ROW]
[ROW][C]299[/C][C]53.88[/C][C]76.5036536843134[/C][C]-22.6236536843134[/C][/ROW]
[ROW][C]300[/C][C]52.95[/C][C]76.4949236169518[/C][C]-23.5449236169518[/C][/ROW]
[ROW][C]301[/C][C]55.08[/C][C]76.4861935495902[/C][C]-21.4061935495901[/C][/ROW]
[ROW][C]302[/C][C]53.61[/C][C]76.4774634822285[/C][C]-22.8674634822285[/C][/ROW]
[ROW][C]303[/C][C]58.78[/C][C]76.4687334148669[/C][C]-17.6887334148669[/C][/ROW]
[ROW][C]304[/C][C]61.85[/C][C]76.4600033475052[/C][C]-14.6100033475053[/C][/ROW]
[ROW][C]305[/C][C]55.91[/C][C]76.4512732801436[/C][C]-20.5412732801436[/C][/ROW]
[ROW][C]306[/C][C]53.32[/C][C]76.442543212782[/C][C]-23.122543212782[/C][/ROW]
[ROW][C]307[/C][C]46.41[/C][C]76.4338131454204[/C][C]-30.0238131454204[/C][/ROW]
[ROW][C]308[/C][C]44.57[/C][C]76.4250830780587[/C][C]-31.8550830780587[/C][/ROW]
[ROW][C]309[/C][C]50[/C][C]76.4163530106971[/C][C]-26.4163530106971[/C][/ROW]
[ROW][C]310[/C][C]50[/C][C]76.4076229433355[/C][C]-26.4076229433355[/C][/ROW]
[ROW][C]311[/C][C]53.36[/C][C]76.3988928759738[/C][C]-23.0388928759738[/C][/ROW]
[ROW][C]312[/C][C]46.23[/C][C]76.3901628086122[/C][C]-30.1601628086122[/C][/ROW]
[ROW][C]313[/C][C]50.45[/C][C]76.3814327412506[/C][C]-25.9314327412506[/C][/ROW]
[ROW][C]314[/C][C]49.07[/C][C]76.372702673889[/C][C]-27.3027026738890[/C][/ROW]
[ROW][C]315[/C][C]45.85[/C][C]76.3639726065273[/C][C]-30.5139726065273[/C][/ROW]
[ROW][C]316[/C][C]48.45[/C][C]76.3552425391657[/C][C]-27.9052425391657[/C][/ROW]
[ROW][C]317[/C][C]49.96[/C][C]76.346512471804[/C][C]-26.3865124718041[/C][/ROW]
[ROW][C]318[/C][C]46.53[/C][C]76.3377824044424[/C][C]-29.8077824044424[/C][/ROW]
[ROW][C]319[/C][C]50.51[/C][C]76.3290523370808[/C][C]-25.8190523370808[/C][/ROW]
[ROW][C]320[/C][C]47.58[/C][C]76.3203222697192[/C][C]-28.7403222697192[/C][/ROW]
[ROW][C]321[/C][C]48.05[/C][C]76.3115922023575[/C][C]-28.2615922023575[/C][/ROW]
[ROW][C]322[/C][C]46.84[/C][C]76.3028621349959[/C][C]-29.4628621349959[/C][/ROW]
[ROW][C]323[/C][C]47.67[/C][C]76.2941320676343[/C][C]-28.6241320676343[/C][/ROW]
[ROW][C]324[/C][C]49.16[/C][C]76.2854020002726[/C][C]-27.1254020002726[/C][/ROW]
[ROW][C]325[/C][C]55.54[/C][C]76.276671932911[/C][C]-20.736671932911[/C][/ROW]
[ROW][C]326[/C][C]55.82[/C][C]76.2679418655494[/C][C]-20.4479418655494[/C][/ROW]
[ROW][C]327[/C][C]58.22[/C][C]76.2592117981877[/C][C]-18.0392117981878[/C][/ROW]
[ROW][C]328[/C][C]56.19[/C][C]76.2504817308261[/C][C]-20.0604817308261[/C][/ROW]
[ROW][C]329[/C][C]57.77[/C][C]76.2417516634645[/C][C]-18.4717516634645[/C][/ROW]
[ROW][C]330[/C][C]63.19[/C][C]76.2330215961029[/C][C]-13.0430215961029[/C][/ROW]
[ROW][C]331[/C][C]54.76[/C][C]76.2242915287412[/C][C]-21.4642915287412[/C][/ROW]
[ROW][C]332[/C][C]55.74[/C][C]76.2155614613796[/C][C]-20.4755614613796[/C][/ROW]
[ROW][C]333[/C][C]62.54[/C][C]76.206831394018[/C][C]-13.6668313940180[/C][/ROW]
[ROW][C]334[/C][C]61.39[/C][C]76.1981013266563[/C][C]-14.8081013266563[/C][/ROW]
[ROW][C]335[/C][C]69.6[/C][C]76.1893712592947[/C][C]-6.58937125929471[/C][/ROW]
[ROW][C]336[/C][C]79.23[/C][C]76.1806411919331[/C][C]3.04935880806693[/C][/ROW]
[ROW][C]337[/C][C]80[/C][C]76.1719111245714[/C][C]3.82808887542856[/C][/ROW]
[ROW][C]338[/C][C]93.68[/C][C]76.1631810572098[/C][C]17.5168189427902[/C][/ROW]
[ROW][C]339[/C][C]107.63[/C][C]76.1544509898482[/C][C]31.4755490101518[/C][/ROW]
[ROW][C]340[/C][C]100.18[/C][C]76.1457209224865[/C][C]24.0342790775135[/C][/ROW]
[ROW][C]341[/C][C]97.3[/C][C]76.1369908551249[/C][C]21.1630091448751[/C][/ROW]
[ROW][C]342[/C][C]90.45[/C][C]76.1282607877633[/C][C]14.3217392122367[/C][/ROW]
[ROW][C]343[/C][C]80.64[/C][C]76.1195307204017[/C][C]4.52046927959834[/C][/ROW]
[ROW][C]344[/C][C]80.58[/C][C]76.11080065304[/C][C]4.46919934695997[/C][/ROW]
[ROW][C]345[/C][C]75.82[/C][C]76.1020705856784[/C][C]-0.282070585678402[/C][/ROW]
[ROW][C]346[/C][C]85.59[/C][C]76.0933405183168[/C][C]9.49665948168324[/C][/ROW]
[ROW][C]347[/C][C]89.35[/C][C]76.0846104509551[/C][C]13.2653895490449[/C][/ROW]
[ROW][C]348[/C][C]89.42[/C][C]76.0758803835935[/C][C]13.3441196164065[/C][/ROW]
[ROW][C]349[/C][C]104.73[/C][C]76.0671503162319[/C][C]28.6628496837681[/C][/ROW]
[ROW][C]350[/C][C]95.32[/C][C]76.0584202488702[/C][C]19.2615797511298[/C][/ROW]
[ROW][C]351[/C][C]89.27[/C][C]76.0496901815086[/C][C]13.2203098184914[/C][/ROW]
[ROW][C]352[/C][C]90.44[/C][C]76.040960114147[/C][C]14.3990398858530[/C][/ROW]
[ROW][C]353[/C][C]86.97[/C][C]76.0322300467853[/C][C]10.9377699532146[/C][/ROW]
[ROW][C]354[/C][C]79.98[/C][C]76.0234999794237[/C][C]3.95650002057629[/C][/ROW]
[ROW][C]355[/C][C]81.22[/C][C]76.0147699120621[/C][C]5.20523008793791[/C][/ROW]
[ROW][C]356[/C][C]87.35[/C][C]76.0060398447005[/C][C]11.3439601552995[/C][/ROW]
[ROW][C]357[/C][C]83.64[/C][C]75.9973097773388[/C][C]7.64269022266117[/C][/ROW]
[ROW][C]358[/C][C]82.22[/C][C]75.9885797099772[/C][C]6.2314202900228[/C][/ROW]
[ROW][C]359[/C][C]94.4[/C][C]75.9798496426156[/C][C]18.4201503573844[/C][/ROW]
[ROW][C]360[/C][C]102.18[/C][C]75.971119575254[/C][C]26.2088804247461[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=25712&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=25712&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
187.2879.1052137580818.17478624191908
287.2879.09648369071788.18351630928224
387.0979.08775362335618.00224637664387
486.9279.07902355599457.8409764440055
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18849.9677.4726911614544-27.5126911614544
18949.477.4639610940928-28.0639610940928
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19948.0377.3766604204765-29.3466604204765
20054.3477.3679303531149-23.0279303531149
20153.7977.3592002857532-23.5692002857532
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219102.9877.202059073243925.7779409267561
220102.277.193329005882225.0066709941178
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222101.8577.17586887115924.674131128841
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22985.2377.11475839962768.11524160037244
23087.8377.106028332265910.7239716677341
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23284.4477.08856819754277.35143180245732
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23484.0377.07110806281946.95889193718059
23586.7377.06237799545789.66762200454222
236102.5277.053647928096225.4663520719038
237104.4577.044917860734527.4050821392655
238106.9877.036187793372929.9438122066271
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242113.4477.001267523926436.4387324760736
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244147.3876.983807389203170.3961926107969
245171.8976.975077321841594.9149226781585
246171.9576.966347254479994.9836527455201
247132.7176.957617187118255.7523828128818
248126.0276.948887119756649.0711128802434
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251110.4876.922696917671733.5573030823283
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253117.6376.905236782948440.7247632170516
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255109.5976.887776648225232.7022233517748
256111.2776.879046580863534.3909534191365
25799.7876.870316513501922.9096834864981
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26097.9776.84412631141721.125873688583
26189.5576.835396244055412.7146037559446
26287.9176.826666176693711.0833338233062
26393.3476.817936109332116.5220638906679
26494.4276.809206041970517.6107939580295
26593.276.800475974608916.3995240253911
26690.2976.791745907247213.4982540927528
26791.4676.783015839885614.6769841601144
26889.9876.77428577252413.2057142274760
26988.3576.765555705162311.5844442948377
27088.4176.756825637800711.6531743621993
27182.4476.74809557043915.69190442956092
27279.8976.73936550307743.15063449692256
27375.6976.7306354357158-1.04063543571581
27475.6676.7219053683542-1.06190536835419
27584.576.71317530099257.78682469900745
27696.7376.704445233630920.0255547663691
27787.4876.695715166269310.7842848337307
27882.3976.68698509890775.70301490109234
27983.4876.6782550315466.80174496845398
28079.3176.66952496418442.64047503581561
28178.1676.66079489682281.49920510317723
28272.7776.6520648294611-3.88206482946114
28372.4576.6433347620995-4.1933347620995
28468.4676.6346046947379-8.17460469473788
28567.6276.6258746273762-9.00587462737624
28668.7676.6171445600146-7.8571445600146
28770.0776.608414492653-6.53841449265299
28868.5576.5996844252913-8.04968442529135
28965.376.5909543579297-11.2909543579297
29058.9676.5822242905681-17.6222242905681
29159.1776.5734942232065-17.4034942232065
29262.3776.5647641558448-14.1947641558448
29366.2876.5560340884832-10.2760340884832
29455.6276.5473040211216-20.9273040211216
29555.2376.53857395376-21.3085739537599
29655.8576.5298438863983-20.6798438863983
29756.7576.5211138190367-19.7711138190367
29850.8976.512383751675-25.6223837516750
29953.8876.5036536843134-22.6236536843134
30052.9576.4949236169518-23.5449236169518
30155.0876.4861935495902-21.4061935495901
30253.6176.4774634822285-22.8674634822285
30358.7876.4687334148669-17.6887334148669
30461.8576.4600033475052-14.6100033475053
30555.9176.4512732801436-20.5412732801436
30653.3276.442543212782-23.122543212782
30746.4176.4338131454204-30.0238131454204
30844.5776.4250830780587-31.8550830780587
3095076.4163530106971-26.4163530106971
3105076.4076229433355-26.4076229433355
31153.3676.3988928759738-23.0388928759738
31246.2376.3901628086122-30.1601628086122
31350.4576.3814327412506-25.9314327412506
31449.0776.372702673889-27.3027026738890
31545.8576.3639726065273-30.5139726065273
31648.4576.3552425391657-27.9052425391657
31749.9676.346512471804-26.3865124718041
31846.5376.3377824044424-29.8077824044424
31950.5176.3290523370808-25.8190523370808
32047.5876.3203222697192-28.7403222697192
32148.0576.3115922023575-28.2615922023575
32246.8476.3028621349959-29.4628621349959
32347.6776.2941320676343-28.6241320676343
32449.1676.2854020002726-27.1254020002726
32555.5476.276671932911-20.736671932911
32655.8276.2679418655494-20.4479418655494
32758.2276.2592117981877-18.0392117981878
32856.1976.2504817308261-20.0604817308261
32957.7776.2417516634645-18.4717516634645
33063.1976.2330215961029-13.0430215961029
33154.7676.2242915287412-21.4642915287412
33255.7476.2155614613796-20.4755614613796
33362.5476.206831394018-13.6668313940180
33461.3976.1981013266563-14.8081013266563
33569.676.1893712592947-6.58937125929471
33679.2376.18064119193313.04935880806693
3378076.17191112457143.82808887542856
33893.6876.163181057209817.5168189427902
339107.6376.154450989848231.4755490101518
340100.1876.145720922486524.0342790775135
34197.376.136990855124921.1630091448751
34290.4576.128260787763314.3217392122367
34380.6476.11953072040174.52046927959834
34480.5876.110800653044.46919934695997
34575.8276.1020705856784-0.282070585678402
34685.5976.09334051831689.49665948168324
34789.3576.084610450955113.2653895490449
34889.4276.075880383593513.3441196164065
349104.7376.067150316231928.6628496837681
35095.3276.058420248870219.2615797511298
35189.2776.049690181508613.2203098184914
35290.4476.04096011414714.3990398858530
35386.9776.032230046785310.9377699532146
35479.9876.02349997942373.95650002057629
35581.2276.01476991206215.20523008793791
35687.3576.006039844700511.3439601552995
35783.6475.99730977733887.64269022266117
35882.2275.98857970997726.2314202900228
35994.475.979849642615618.4201503573844
360102.1875.97111957525426.2088804247461







Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
54.69623037680352e-069.39246075360704e-060.999995303769623
63.22057119168889e-056.44114238337778e-050.999967794288083
72.24438739492931e-064.48877478985862e-060.999997755612605
81.23546751602073e-072.47093503204146e-070.999999876453248
91.29892905119990e-082.59785810239980e-080.99999998701071
102.22676767036905e-094.4535353407381e-090.999999997773232
114.37200924857126e-108.74401849714251e-100.9999999995628
129.2863458154443e-111.85726916308886e-100.999999999907137
132.27724676115078e-114.55449352230156e-110.999999999977228
143.94154566370037e-127.88309132740074e-120.999999999996058
156.23810097717734e-131.24762019543547e-120.999999999999376
168.98189997330847e-141.79637999466169e-130.99999999999991
171.18802860793401e-142.37605721586802e-140.999999999999988
181.45273212405202e-152.90546424810404e-150.999999999999999
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3400.9999666639798876.66720402251348e-053.33360201125674e-05
3410.999967523395056.49532099002882e-053.24766049501441e-05
3420.9999364480054730.0001271039890530846.35519945265419e-05
3430.999853373102850.000293253794302010.000146626897151005
3440.9996967363367680.0006065273264640020.000303263663232001
3450.9997507694133640.0004984611732711830.000249230586635592
3460.999464071362710.001071857274578910.000535928637289454
3470.9986786424190640.002642715161871400.00132135758093570
3480.9968797761763170.006240447647366570.00312022382368329
3490.9984802662929860.003039467414027310.00151973370701366
3500.9982732201833840.003453559633231550.00172677981661577
3510.9965596891115780.006880621776844650.00344031088842233
3520.9964565650094620.007086869981076520.00354343499053826
3530.9965315710421050.006936857915790490.00346842895789524
3540.987795606379650.02440878724070130.0122043936203506
3550.9571722773131520.08565544537369680.0428277226868484

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
5 & 4.69623037680352e-06 & 9.39246075360704e-06 & 0.999995303769623 \tabularnewline
6 & 3.22057119168889e-05 & 6.44114238337778e-05 & 0.999967794288083 \tabularnewline
7 & 2.24438739492931e-06 & 4.48877478985862e-06 & 0.999997755612605 \tabularnewline
8 & 1.23546751602073e-07 & 2.47093503204146e-07 & 0.999999876453248 \tabularnewline
9 & 1.29892905119990e-08 & 2.59785810239980e-08 & 0.99999998701071 \tabularnewline
10 & 2.22676767036905e-09 & 4.4535353407381e-09 & 0.999999997773232 \tabularnewline
11 & 4.37200924857126e-10 & 8.74401849714251e-10 & 0.9999999995628 \tabularnewline
12 & 9.2863458154443e-11 & 1.85726916308886e-10 & 0.999999999907137 \tabularnewline
13 & 2.27724676115078e-11 & 4.55449352230156e-11 & 0.999999999977228 \tabularnewline
14 & 3.94154566370037e-12 & 7.88309132740074e-12 & 0.999999999996058 \tabularnewline
15 & 6.23810097717734e-13 & 1.24762019543547e-12 & 0.999999999999376 \tabularnewline
16 & 8.98189997330847e-14 & 1.79637999466169e-13 & 0.99999999999991 \tabularnewline
17 & 1.18802860793401e-14 & 2.37605721586802e-14 & 0.999999999999988 \tabularnewline
18 & 1.45273212405202e-15 & 2.90546424810404e-15 & 0.999999999999999 \tabularnewline
19 & 1.64961038444720e-16 & 3.29922076889441e-16 & 1 \tabularnewline
20 & 1.77045054540815e-17 & 3.5409010908163e-17 & 1 \tabularnewline
21 & 2.23296681969833e-18 & 4.46593363939667e-18 & 1 \tabularnewline
22 & 4.32005143571568e-19 & 8.64010287143136e-19 & 1 \tabularnewline
23 & 1.02175798787992e-19 & 2.04351597575985e-19 & 1 \tabularnewline
24 & 2.53723420316534e-20 & 5.07446840633068e-20 & 1 \tabularnewline
25 & 6.2205702445584e-21 & 1.24411404891168e-20 & 1 \tabularnewline
26 & 3.26466918487583e-21 & 6.52933836975166e-21 & 1 \tabularnewline
27 & 4.77734052698965e-17 & 9.5546810539793e-17 & 1 \tabularnewline
28 & 1.03736541710867e-15 & 2.07473083421733e-15 & 0.999999999999999 \tabularnewline
29 & 1.21913049614340e-15 & 2.43826099228681e-15 & 0.999999999999999 \tabularnewline
30 & 2.49813736193042e-16 & 4.99627472386084e-16 & 1 \tabularnewline
31 & 4.47746106732221e-17 & 8.95492213464442e-17 & 1 \tabularnewline
32 & 1.10785263499776e-17 & 2.21570526999552e-17 & 1 \tabularnewline
33 & 1.09805012020899e-17 & 2.19610024041799e-17 & 1 \tabularnewline
34 & 1.72082609647208e-17 & 3.44165219294416e-17 & 1 \tabularnewline
35 & 3.35144959390588e-17 & 6.70289918781176e-17 & 1 \tabularnewline
36 & 5.91774465618522e-17 & 1.18354893123704e-16 & 1 \tabularnewline
37 & 7.52917904191667e-17 & 1.50583580838333e-16 & 1 \tabularnewline
38 & 5.22271832239817e-17 & 1.04454366447963e-16 & 1 \tabularnewline
39 & 2.65630375455165e-17 & 5.3126075091033e-17 & 1 \tabularnewline
40 & 2.81563008577917e-17 & 5.63126017155834e-17 & 1 \tabularnewline
41 & 1.70749058304831e-17 & 3.41498116609662e-17 & 1 \tabularnewline
42 & 7.04367274032721e-18 & 1.40873454806544e-17 & 1 \tabularnewline
43 & 2.40924518171769e-18 & 4.81849036343538e-18 & 1 \tabularnewline
44 & 7.02936076681171e-19 & 1.40587215336234e-18 & 1 \tabularnewline
45 & 1.82789075471884e-19 & 3.65578150943768e-19 & 1 \tabularnewline
46 & 4.34986356489959e-20 & 8.69972712979919e-20 & 1 \tabularnewline
47 & 9.926087379537e-21 & 1.9852174759074e-20 & 1 \tabularnewline
48 & 2.75987816121595e-21 & 5.51975632243191e-21 & 1 \tabularnewline
49 & 7.17287513209586e-22 & 1.43457502641917e-21 & 1 \tabularnewline
50 & 1.6849105666746e-22 & 3.3698211333492e-22 & 1 \tabularnewline
51 & 3.75757163537696e-23 & 7.51514327075393e-23 & 1 \tabularnewline
52 & 8.16435726357662e-24 & 1.63287145271532e-23 & 1 \tabularnewline
53 & 1.75810103514218e-24 & 3.51620207028437e-24 & 1 \tabularnewline
54 & 3.85150218515854e-25 & 7.70300437031707e-25 & 1 \tabularnewline
55 & 8.79213405114313e-26 & 1.75842681022863e-25 & 1 \tabularnewline
56 & 2.15041549364395e-26 & 4.30083098728789e-26 & 1 \tabularnewline
57 & 5.72063166005899e-27 & 1.14412633201180e-26 & 1 \tabularnewline
58 & 1.20354378807067e-27 & 2.40708757614135e-27 & 1 \tabularnewline
59 & 3.38370544787085e-28 & 6.7674108957417e-28 & 1 \tabularnewline
60 & 8.27991456110653e-29 & 1.65598291222131e-28 & 1 \tabularnewline
61 & 1.77126737801810e-29 & 3.54253475603621e-29 & 1 \tabularnewline
62 & 3.56585038853745e-30 & 7.1317007770749e-30 & 1 \tabularnewline
63 & 1.11902843872915e-30 & 2.23805687745829e-30 & 1 \tabularnewline
64 & 3.39525015934702e-31 & 6.79050031869403e-31 & 1 \tabularnewline
65 & 8.33603991061721e-32 & 1.66720798212344e-31 & 1 \tabularnewline
66 & 1.76689975898227e-32 & 3.53379951796454e-32 & 1 \tabularnewline
67 & 3.49670964869854e-33 & 6.99341929739708e-33 & 1 \tabularnewline
68 & 6.71776164843399e-34 & 1.34355232968680e-33 & 1 \tabularnewline
69 & 1.30930356601557e-34 & 2.61860713203115e-34 & 1 \tabularnewline
70 & 5.52171897861798e-35 & 1.10434379572360e-34 & 1 \tabularnewline
71 & 1.47697035616441e-35 & 2.95394071232883e-35 & 1 \tabularnewline
72 & 3.06362458531706e-36 & 6.12724917063413e-36 & 1 \tabularnewline
73 & 5.79589579445972e-37 & 1.15917915889194e-36 & 1 \tabularnewline
74 & 1.08615245807065e-37 & 2.1723049161413e-37 & 1 \tabularnewline
75 & 2.22091332508301e-38 & 4.44182665016603e-38 & 1 \tabularnewline
76 & 4.0581788259278e-39 & 8.1163576518556e-39 & 1 \tabularnewline
77 & 7.35557981867923e-40 & 1.47111596373585e-39 & 1 \tabularnewline
78 & 1.40434201393276e-40 & 2.80868402786553e-40 & 1 \tabularnewline
79 & 3.07903797914636e-41 & 6.15807595829271e-41 & 1 \tabularnewline
80 & 8.6430914956176e-42 & 1.72861829912352e-41 & 1 \tabularnewline
81 & 1.56368491529877e-42 & 3.12736983059754e-42 & 1 \tabularnewline
82 & 2.74548237300728e-43 & 5.49096474601456e-43 & 1 \tabularnewline
83 & 4.79814021996592e-44 & 9.59628043993184e-44 & 1 \tabularnewline
84 & 9.07702241301868e-45 & 1.81540448260374e-44 & 1 \tabularnewline
85 & 1.72828421415457e-45 & 3.45656842830915e-45 & 1 \tabularnewline
86 & 3.9752944223816e-46 & 7.9505888447632e-46 & 1 \tabularnewline
87 & 1.05796407496319e-46 & 2.11592814992638e-46 & 1 \tabularnewline
88 & 2.62625461257432e-47 & 5.25250922514864e-47 & 1 \tabularnewline
89 & 6.56522207406799e-48 & 1.31304441481360e-47 & 1 \tabularnewline
90 & 1.78362605769308e-48 & 3.56725211538615e-48 & 1 \tabularnewline
91 & 7.08673945771433e-49 & 1.41734789154287e-48 & 1 \tabularnewline
92 & 1.67113732014287e-49 & 3.34227464028573e-49 & 1 \tabularnewline
93 & 3.36628508362303e-50 & 6.73257016724606e-50 & 1 \tabularnewline
94 & 8.5144242303958e-51 & 1.70288484607916e-50 & 1 \tabularnewline
95 & 2.41428084521101e-51 & 4.82856169042202e-51 & 1 \tabularnewline
96 & 5.2995095908555e-52 & 1.0599019181711e-51 & 1 \tabularnewline
97 & 1.52593703273836e-52 & 3.05187406547673e-52 & 1 \tabularnewline
98 & 6.93689060384628e-53 & 1.38737812076926e-52 & 1 \tabularnewline
99 & 1.79810020714199e-53 & 3.59620041428399e-53 & 1 \tabularnewline
100 & 1.24843142404796e-53 & 2.49686284809591e-53 & 1 \tabularnewline
101 & 2.80318515205473e-53 & 5.60637030410947e-53 & 1 \tabularnewline
102 & 1.98606087976610e-53 & 3.97212175953221e-53 & 1 \tabularnewline
103 & 2.88805114890519e-53 & 5.77610229781038e-53 & 1 \tabularnewline
104 & 7.48091591861777e-53 & 1.49618318372355e-52 & 1 \tabularnewline
105 & 5.85711618996162e-53 & 1.17142323799232e-52 & 1 \tabularnewline
106 & 8.4602148615769e-53 & 1.69204297231538e-52 & 1 \tabularnewline
107 & 2.97462897311930e-53 & 5.94925794623859e-53 & 1 \tabularnewline
108 & 9.63924401094829e-54 & 1.92784880218966e-53 & 1 \tabularnewline
109 & 2.05217044310353e-54 & 4.10434088620706e-54 & 1 \tabularnewline
110 & 1.59865919449443e-53 & 3.19731838898886e-53 & 1 \tabularnewline
111 & 1.82967888983628e-47 & 3.65935777967256e-47 & 1 \tabularnewline
112 & 1.02875307990555e-42 & 2.05750615981109e-42 & 1 \tabularnewline
113 & 6.2589700197944e-39 & 1.25179400395888e-38 & 1 \tabularnewline
114 & 2.70225658429885e-36 & 5.4045131685977e-36 & 1 \tabularnewline
115 & 1.64289989013058e-34 & 3.28579978026117e-34 & 1 \tabularnewline
116 & 2.67833885658420e-33 & 5.35667771316839e-33 & 1 \tabularnewline
117 & 1.55890953299204e-32 & 3.11781906598408e-32 & 1 \tabularnewline
118 & 4.98269853097087e-32 & 9.96539706194173e-32 & 1 \tabularnewline
119 & 1.75058152204085e-31 & 3.50116304408169e-31 & 1 \tabularnewline
120 & 3.28800382912343e-31 & 6.57600765824685e-31 & 1 \tabularnewline
121 & 3.94846776868941e-31 & 7.89693553737883e-31 & 1 \tabularnewline
122 & 3.41756830679043e-31 & 6.83513661358085e-31 & 1 \tabularnewline
123 & 2.23458784545527e-31 & 4.46917569091054e-31 & 1 \tabularnewline
124 & 1.17994540286182e-31 & 2.35989080572363e-31 & 1 \tabularnewline
125 & 5.26462825251455e-32 & 1.05292565050291e-31 & 1 \tabularnewline
126 & 2.08951081075406e-32 & 4.17902162150812e-32 & 1 \tabularnewline
127 & 7.59047261963685e-33 & 1.51809452392737e-32 & 1 \tabularnewline
128 & 2.60878206338262e-33 & 5.21756412676524e-33 & 1 \tabularnewline
129 & 8.68088071412657e-34 & 1.73617614282531e-33 & 1 \tabularnewline
130 & 3.01160758809699e-34 & 6.02321517619398e-34 & 1 \tabularnewline
131 & 1.14052404565815e-34 & 2.2810480913163e-34 & 1 \tabularnewline
132 & 4.03839045295325e-35 & 8.0767809059065e-35 & 1 \tabularnewline
133 & 1.43148116823306e-35 & 2.86296233646612e-35 & 1 \tabularnewline
134 & 5.77789025606754e-36 & 1.15557805121351e-35 & 1 \tabularnewline
135 & 2.04614098929193e-36 & 4.09228197858385e-36 & 1 \tabularnewline
136 & 7.59528812961654e-37 & 1.51905762592331e-36 & 1 \tabularnewline
137 & 2.681267728007e-37 & 5.362535456014e-37 & 1 \tabularnewline
138 & 8.71353215924614e-38 & 1.74270643184923e-37 & 1 \tabularnewline
139 & 2.73307223982526e-38 & 5.46614447965052e-38 & 1 \tabularnewline
140 & 8.56239128249494e-39 & 1.71247825649899e-38 & 1 \tabularnewline
141 & 2.769481131557e-39 & 5.538962263114e-39 & 1 \tabularnewline
142 & 8.58225330247629e-40 & 1.71645066049526e-39 & 1 \tabularnewline
143 & 2.95165929558563e-40 & 5.90331859117126e-40 & 1 \tabularnewline
144 & 9.39361795902283e-41 & 1.87872359180457e-40 & 1 \tabularnewline
145 & 2.98436182724842e-41 & 5.96872365449685e-41 & 1 \tabularnewline
146 & 9.06360855081646e-42 & 1.81272171016329e-41 & 1 \tabularnewline
147 & 2.78529151811488e-42 & 5.57058303622976e-42 & 1 \tabularnewline
148 & 1.04217205053345e-42 & 2.0843441010669e-42 & 1 \tabularnewline
149 & 3.41610631160738e-43 & 6.83221262321477e-43 & 1 \tabularnewline
150 & 1.17552142291776e-43 & 2.35104284583551e-43 & 1 \tabularnewline
151 & 3.87690315917339e-44 & 7.75380631834679e-44 & 1 \tabularnewline
152 & 1.18054622828248e-44 & 2.36109245656496e-44 & 1 \tabularnewline
153 & 3.45894542675954e-45 & 6.91789085351909e-45 & 1 \tabularnewline
154 & 1.00692765524039e-45 & 2.01385531048078e-45 & 1 \tabularnewline
155 & 2.92929993886749e-46 & 5.85859987773497e-46 & 1 \tabularnewline
156 & 8.51227822634117e-47 & 1.70245564526823e-46 & 1 \tabularnewline
157 & 2.60368774826647e-47 & 5.20737549653294e-47 & 1 \tabularnewline
158 & 8.865388408742e-48 & 1.7730776817484e-47 & 1 \tabularnewline
159 & 2.64528883624354e-48 & 5.29057767248708e-48 & 1 \tabularnewline
160 & 7.53059078464672e-49 & 1.50611815692934e-48 & 1 \tabularnewline
161 & 2.17996818997105e-49 & 4.3599363799421e-49 & 1 \tabularnewline
162 & 6.72362001428796e-50 & 1.34472400285759e-49 & 1 \tabularnewline
163 & 2.28629951680591e-50 & 4.57259903361182e-50 & 1 \tabularnewline
164 & 8.8953733662603e-51 & 1.77907467325206e-50 & 1 \tabularnewline
165 & 2.52130065797514e-51 & 5.04260131595027e-51 & 1 \tabularnewline
166 & 7.08135154593012e-52 & 1.41627030918602e-51 & 1 \tabularnewline
167 & 2.02135835929579e-52 & 4.04271671859157e-52 & 1 \tabularnewline
168 & 6.11145991339051e-53 & 1.22229198267810e-52 & 1 \tabularnewline
169 & 2.00162738128603e-53 & 4.00325476257207e-53 & 1 \tabularnewline
170 & 7.20338179889443e-54 & 1.44067635977889e-53 & 1 \tabularnewline
171 & 2.29944478574657e-54 & 4.59888957149314e-54 & 1 \tabularnewline
172 & 6.4376972212818e-55 & 1.28753944425636e-54 & 1 \tabularnewline
173 & 1.81384247160037e-55 & 3.62768494320075e-55 & 1 \tabularnewline
174 & 5.27897920841454e-56 & 1.05579584168291e-55 & 1 \tabularnewline
175 & 1.62247614345553e-56 & 3.24495228691106e-56 & 1 \tabularnewline
176 & 5.41300349746915e-57 & 1.08260069949383e-56 & 1 \tabularnewline
177 & 2.08437560539789e-57 & 4.16875121079578e-57 & 1 \tabularnewline
178 & 6.7148757107492e-58 & 1.34297514214984e-57 & 1 \tabularnewline
179 & 2.26155925811954e-58 & 4.52311851623909e-58 & 1 \tabularnewline
180 & 8.58412398956452e-59 & 1.71682479791290e-58 & 1 \tabularnewline
181 & 3.23286205795964e-59 & 6.46572411591929e-59 & 1 \tabularnewline
182 & 2.10287498317727e-59 & 4.20574996635454e-59 & 1 \tabularnewline
183 & 1.94646970422314e-59 & 3.89293940844629e-59 & 1 \tabularnewline
184 & 2.01393216120182e-59 & 4.02786432240364e-59 & 1 \tabularnewline
185 & 2.3319136803622e-59 & 4.6638273607244e-59 & 1 \tabularnewline
186 & 3.03959792112116e-59 & 6.07919584224231e-59 & 1 \tabularnewline
187 & 1.08717492111831e-58 & 2.17434984223663e-58 & 1 \tabularnewline
188 & 1.09247087151208e-57 & 2.18494174302416e-57 & 1 \tabularnewline
189 & 1.15045640929905e-56 & 2.30091281859811e-56 & 1 \tabularnewline
190 & 1.28020459580308e-55 & 2.56040919160616e-55 & 1 \tabularnewline
191 & 1.50830639892647e-54 & 3.01661279785294e-54 & 1 \tabularnewline
192 & 1.91395239936329e-53 & 3.82790479872658e-53 & 1 \tabularnewline
193 & 2.59009994207286e-52 & 5.18019988414573e-52 & 1 \tabularnewline
194 & 3.7608557465636e-51 & 7.5217114931272e-51 & 1 \tabularnewline
195 & 5.92308853713105e-50 & 1.18461770742621e-49 & 1 \tabularnewline
196 & 4.02278528383941e-49 & 8.04557056767882e-49 & 1 \tabularnewline
197 & 2.51575144740866e-48 & 5.03150289481731e-48 & 1 \tabularnewline
198 & 1.95266604327021e-47 & 3.90533208654041e-47 & 1 \tabularnewline
199 & 1.80631428731267e-46 & 3.61262857462533e-46 & 1 \tabularnewline
200 & 4.28334941466111e-46 & 8.56669882932221e-46 & 1 \tabularnewline
201 & 1.22422887918545e-45 & 2.4484577583709e-45 & 1 \tabularnewline
202 & 4.28729881290532e-45 & 8.57459762581065e-45 & 1 \tabularnewline
203 & 1.77623518660078e-44 & 3.55247037320157e-44 & 1 \tabularnewline
204 & 9.82678828500583e-44 & 1.96535765700117e-43 & 1 \tabularnewline
205 & 6.96903679121495e-43 & 1.39380735824299e-42 & 1 \tabularnewline
206 & 1.90030472990762e-42 & 3.80060945981524e-42 & 1 \tabularnewline
207 & 1.21716390639852e-41 & 2.43432781279705e-41 & 1 \tabularnewline
208 & 5.92951725994001e-41 & 1.18590345198800e-40 & 1 \tabularnewline
209 & 2.45035579714617e-40 & 4.90071159429235e-40 & 1 \tabularnewline
210 & 1.12215952852121e-39 & 2.24431905704241e-39 & 1 \tabularnewline
211 & 4.24618586541679e-39 & 8.49237173083358e-39 & 1 \tabularnewline
212 & 1.37450807247300e-36 & 2.74901614494601e-36 & 1 \tabularnewline
213 & 3.50409439118726e-32 & 7.00818878237452e-32 & 1 \tabularnewline
214 & 2.81210706753657e-28 & 5.62421413507315e-28 & 1 \tabularnewline
215 & 3.39315813383104e-25 & 6.78631626766208e-25 & 1 \tabularnewline
216 & 3.96848355835026e-23 & 7.93696711670052e-23 & 1 \tabularnewline
217 & 1.48228024431036e-21 & 2.96456048862073e-21 & 1 \tabularnewline
218 & 2.85447561530612e-20 & 5.70895123061223e-20 & 1 \tabularnewline
219 & 2.70450806312925e-19 & 5.40901612625849e-19 & 1 \tabularnewline
220 & 1.76101682180862e-18 & 3.52203364361724e-18 & 1 \tabularnewline
221 & 1.39096746766588e-17 & 2.78193493533176e-17 & 1 \tabularnewline
222 & 5.67534400809504e-17 & 1.13506880161901e-16 & 1 \tabularnewline
223 & 1.61866372841193e-16 & 3.23732745682386e-16 & 1 \tabularnewline
224 & 3.00602996907842e-16 & 6.01205993815683e-16 & 1 \tabularnewline
225 & 4.69212443875332e-16 & 9.38424887750665e-16 & 1 \tabularnewline
226 & 5.74153806350145e-16 & 1.14830761270029e-15 & 1 \tabularnewline
227 & 6.84226480559885e-16 & 1.36845296111977e-15 & 1 \tabularnewline
228 & 7.87057435022515e-16 & 1.57411487004503e-15 & 1 \tabularnewline
229 & 7.18384136019587e-16 & 1.43676827203917e-15 & 1 \tabularnewline
230 & 6.91296506868554e-16 & 1.38259301373711e-15 & 1 \tabularnewline
231 & 6.48588393768493e-16 & 1.29717678753699e-15 & 1 \tabularnewline
232 & 5.71639067836454e-16 & 1.14327813567291e-15 & 1 \tabularnewline
233 & 5.07100404151269e-16 & 1.01420080830254e-15 & 1 \tabularnewline
234 & 4.43405320977703e-16 & 8.86810641955406e-16 & 1 \tabularnewline
235 & 4.00114986958914e-16 & 8.00229973917828e-16 & 1 \tabularnewline
236 & 8.01284626364484e-16 & 1.60256925272897e-15 & 1 \tabularnewline
237 & 1.75236751140270e-15 & 3.50473502280541e-15 & 0.999999999999998 \tabularnewline
238 & 4.43387148293206e-15 & 8.86774296586413e-15 & 0.999999999999996 \tabularnewline
239 & 1.02475054495240e-14 & 2.04950108990480e-14 & 0.99999999999999 \tabularnewline
240 & 1.23004744091167e-14 & 2.46009488182334e-14 & 0.999999999999988 \tabularnewline
241 & 1.12853949611149e-14 & 2.25707899222297e-14 & 0.999999999999989 \tabularnewline
242 & 4.11769471759971e-14 & 8.23538943519941e-14 & 0.99999999999996 \tabularnewline
243 & 1.94841522497007e-10 & 3.89683044994015e-10 & 0.999999999805159 \tabularnewline
244 & 2.70180194485021e-08 & 5.40360388970041e-08 & 0.99999997298198 \tabularnewline
245 & 5.90041156924856e-05 & 0.000118008231384971 & 0.999940995884308 \tabularnewline
246 & 0.0112948627367436 & 0.0225897254734872 & 0.988705137263256 \tabularnewline
247 & 0.0318046700592171 & 0.0636093401184342 & 0.968195329940783 \tabularnewline
248 & 0.0607263006120721 & 0.121452601224144 & 0.939273699387928 \tabularnewline
249 & 0.0942959714774687 & 0.188591942954937 & 0.905704028522531 \tabularnewline
250 & 0.123250266723778 & 0.246500533447555 & 0.876749733276222 \tabularnewline
251 & 0.144329503139849 & 0.288659006279697 & 0.855670496860151 \tabularnewline
252 & 0.200008295569021 & 0.400016591138043 & 0.799991704430979 \tabularnewline
253 & 0.272236310480323 & 0.544472620960645 & 0.727763689519678 \tabularnewline
254 & 0.418534348999155 & 0.83706869799831 & 0.581465651000845 \tabularnewline
255 & 0.479400234995016 & 0.958800469990032 & 0.520599765004984 \tabularnewline
256 & 0.559641904664266 & 0.880716190671468 & 0.440358095335734 \tabularnewline
257 & 0.582234409792486 & 0.835531180415028 & 0.417765590207514 \tabularnewline
258 & 0.602114913364056 & 0.795770173271888 & 0.397885086635944 \tabularnewline
259 & 0.630909107753128 & 0.738181784493744 & 0.369090892246872 \tabularnewline
260 & 0.658628755698263 & 0.682742488603474 & 0.341371244301737 \tabularnewline
261 & 0.658010956639604 & 0.683978086720792 & 0.341989043360396 \tabularnewline
262 & 0.65498391573455 & 0.690032168530901 & 0.345016084265450 \tabularnewline
263 & 0.674049856457612 & 0.651900287084777 & 0.325950143542388 \tabularnewline
264 & 0.701970623040054 & 0.596058753919892 & 0.298029376959946 \tabularnewline
265 & 0.728934395246217 & 0.542131209507566 & 0.271065604753783 \tabularnewline
266 & 0.74829469515932 & 0.503410609681361 & 0.251705304840680 \tabularnewline
267 & 0.775784922335095 & 0.44843015532981 & 0.224215077664905 \tabularnewline
268 & 0.80097284657523 & 0.398054306849541 & 0.199027153424771 \tabularnewline
269 & 0.82337597257137 & 0.353248054857262 & 0.176624027428631 \tabularnewline
270 & 0.848449172525062 & 0.303101654949876 & 0.151550827474938 \tabularnewline
271 & 0.858844233175318 & 0.282311533649364 & 0.141155766824682 \tabularnewline
272 & 0.865485198795193 & 0.269029602409614 & 0.134514801204807 \tabularnewline
273 & 0.865931364705916 & 0.268137270588167 & 0.134068635294084 \tabularnewline
274 & 0.867547359074144 & 0.264905281851712 & 0.132452640925856 \tabularnewline
275 & 0.890695065455694 & 0.218609869088612 & 0.109304934544306 \tabularnewline
276 & 0.946715724416624 & 0.106568551166752 & 0.0532842755833759 \tabularnewline
277 & 0.968082845910173 & 0.0638343081796548 & 0.0319171540898274 \tabularnewline
278 & 0.979071717035011 & 0.0418565659299773 & 0.0209282829649886 \tabularnewline
279 & 0.988426261551429 & 0.0231474768971430 & 0.0115737384485715 \tabularnewline
280 & 0.993121318712272 & 0.0137573625754558 & 0.00687868128772791 \tabularnewline
281 & 0.996167274936534 & 0.00766545012693167 & 0.00383272506346583 \tabularnewline
282 & 0.997459707112556 & 0.00508058577488771 & 0.00254029288744386 \tabularnewline
283 & 0.998425552169808 & 0.00314889566038372 & 0.00157444783019186 \tabularnewline
284 & 0.998889765704188 & 0.00222046859162304 & 0.00111023429581152 \tabularnewline
285 & 0.999229242559283 & 0.00154151488143395 & 0.000770757440716974 \tabularnewline
286 & 0.999531450732397 & 0.0009370985352056 & 0.0004685492676028 \tabularnewline
287 & 0.99976519688934 & 0.000469606221321267 & 0.000234803110660634 \tabularnewline
288 & 0.999884765974597 & 0.000230468050805727 & 0.000115234025402864 \tabularnewline
289 & 0.999935695090322 & 0.000128609819356869 & 6.43049096784345e-05 \tabularnewline
290 & 0.99994948369171 & 0.000101032616579505 & 5.05163082897525e-05 \tabularnewline
291 & 0.999961567515964 & 7.68649680713749e-05 & 3.84324840356874e-05 \tabularnewline
292 & 0.999977314793215 & 4.53704135697694e-05 & 2.26852067848847e-05 \tabularnewline
293 & 0.999991666877455 & 1.66662450903146e-05 & 8.33312254515732e-06 \tabularnewline
294 & 0.999993248214023 & 1.35035719540024e-05 & 6.75178597700119e-06 \tabularnewline
295 & 0.999994429682571 & 1.11406348581547e-05 & 5.57031742907733e-06 \tabularnewline
296 & 0.999995608863846 & 8.78227230815898e-06 & 4.39113615407949e-06 \tabularnewline
297 & 0.999996802723757 & 6.39455248514322e-06 & 3.19727624257161e-06 \tabularnewline
298 & 0.99999670765699 & 6.58468602002476e-06 & 3.29234301001238e-06 \tabularnewline
299 & 0.999997045443211 & 5.90911357812633e-06 & 2.95455678906316e-06 \tabularnewline
300 & 0.999997173531668 & 5.65293666349454e-06 & 2.82646833174727e-06 \tabularnewline
301 & 0.999997622650754 & 4.75469849288649e-06 & 2.37734924644324e-06 \tabularnewline
302 & 0.999997787869449 & 4.4242611027015e-06 & 2.21213055135075e-06 \tabularnewline
303 & 0.99999867360474 & 2.65279051929475e-06 & 1.32639525964738e-06 \tabularnewline
304 & 0.999999503375057 & 9.93249886319117e-07 & 4.96624943159558e-07 \tabularnewline
305 & 0.99999966331887 & 6.73362259896048e-07 & 3.36681129948024e-07 \tabularnewline
306 & 0.999999712254594 & 5.75490811186324e-07 & 2.87745405593162e-07 \tabularnewline
307 & 0.999999614670236 & 7.70659528271264e-07 & 3.85329764135632e-07 \tabularnewline
308 & 0.999999440398575 & 1.11920285084309e-06 & 5.59601425421547e-07 \tabularnewline
309 & 0.99999929118529 & 1.41762942135618e-06 & 7.08814710678088e-07 \tabularnewline
310 & 0.999999068693664 & 1.86261267169701e-06 & 9.31306335848506e-07 \tabularnewline
311 & 0.99999895635623 & 2.08728753980111e-06 & 1.04364376990055e-06 \tabularnewline
312 & 0.99999837971972 & 3.24056055844464e-06 & 1.62028027922232e-06 \tabularnewline
313 & 0.999997666311558 & 4.66737688351338e-06 & 2.33368844175669e-06 \tabularnewline
314 & 0.999996385102735 & 7.22979452904036e-06 & 3.61489726452018e-06 \tabularnewline
315 & 0.999994144876967 & 1.17102460668793e-05 & 5.85512303343964e-06 \tabularnewline
316 & 0.999990423077473 & 1.91538450545188e-05 & 9.57692252725938e-06 \tabularnewline
317 & 0.99998429661157 & 3.14067768606982e-05 & 1.57033884303491e-05 \tabularnewline
318 & 0.99997488602387 & 5.02279522588902e-05 & 2.51139761294451e-05 \tabularnewline
319 & 0.999958282287652 & 8.34354246958029e-05 & 4.17177123479014e-05 \tabularnewline
320 & 0.999935095687695 & 0.000129808624610267 & 6.49043123051337e-05 \tabularnewline
321 & 0.99990183718879 & 0.000196325622421254 & 9.81628112106272e-05 \tabularnewline
322 & 0.99986780194893 & 0.000264396102137995 & 0.000132198051068997 \tabularnewline
323 & 0.999830700419803 & 0.000338599160393071 & 0.000169299580196535 \tabularnewline
324 & 0.999788368870357 & 0.000423262259285437 & 0.000211631129642718 \tabularnewline
325 & 0.999673769807519 & 0.0006524603849629 & 0.00032623019248145 \tabularnewline
326 & 0.999523384461239 & 0.000953231077522272 & 0.000476615538761136 \tabularnewline
327 & 0.999287942612893 & 0.00142411477421388 & 0.00071205738710694 \tabularnewline
328 & 0.999110886739526 & 0.00177822652094881 & 0.000889113260474403 \tabularnewline
329 & 0.998927536098243 & 0.00214492780351327 & 0.00107246390175664 \tabularnewline
330 & 0.998473993839864 & 0.00305201232027116 & 0.00152600616013558 \tabularnewline
331 & 0.998986204204834 & 0.00202759159033271 & 0.00101379579516635 \tabularnewline
332 & 0.999537729933978 & 0.000924540132044782 & 0.000462270066022391 \tabularnewline
333 & 0.999715147086557 & 0.000569705826885758 & 0.000284852913442879 \tabularnewline
334 & 0.99992793950258 & 0.000144120994839232 & 7.20604974196159e-05 \tabularnewline
335 & 0.999967946133885 & 6.41077322296736e-05 & 3.20538661148368e-05 \tabularnewline
336 & 0.999961912640159 & 7.61747196828111e-05 & 3.80873598414055e-05 \tabularnewline
337 & 0.999960632695153 & 7.87346096932333e-05 & 3.93673048466166e-05 \tabularnewline
338 & 0.99991342272557 & 0.000173154548858324 & 8.65772744291618e-05 \tabularnewline
339 & 0.999963013300538 & 7.3973398923257e-05 & 3.69866994616285e-05 \tabularnewline
340 & 0.999966663979887 & 6.66720402251348e-05 & 3.33360201125674e-05 \tabularnewline
341 & 0.99996752339505 & 6.49532099002882e-05 & 3.24766049501441e-05 \tabularnewline
342 & 0.999936448005473 & 0.000127103989053084 & 6.35519945265419e-05 \tabularnewline
343 & 0.99985337310285 & 0.00029325379430201 & 0.000146626897151005 \tabularnewline
344 & 0.999696736336768 & 0.000606527326464002 & 0.000303263663232001 \tabularnewline
345 & 0.999750769413364 & 0.000498461173271183 & 0.000249230586635592 \tabularnewline
346 & 0.99946407136271 & 0.00107185727457891 & 0.000535928637289454 \tabularnewline
347 & 0.998678642419064 & 0.00264271516187140 & 0.00132135758093570 \tabularnewline
348 & 0.996879776176317 & 0.00624044764736657 & 0.00312022382368329 \tabularnewline
349 & 0.998480266292986 & 0.00303946741402731 & 0.00151973370701366 \tabularnewline
350 & 0.998273220183384 & 0.00345355963323155 & 0.00172677981661577 \tabularnewline
351 & 0.996559689111578 & 0.00688062177684465 & 0.00344031088842233 \tabularnewline
352 & 0.996456565009462 & 0.00708686998107652 & 0.00354343499053826 \tabularnewline
353 & 0.996531571042105 & 0.00693685791579049 & 0.00346842895789524 \tabularnewline
354 & 0.98779560637965 & 0.0244087872407013 & 0.0122043936203506 \tabularnewline
355 & 0.957172277313152 & 0.0856554453736968 & 0.0428277226868484 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=25712&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]4.69623037680352e-06[/C][C]9.39246075360704e-06[/C][C]0.999995303769623[/C][/ROW]
[ROW][C]6[/C][C]3.22057119168889e-05[/C][C]6.44114238337778e-05[/C][C]0.999967794288083[/C][/ROW]
[ROW][C]7[/C][C]2.24438739492931e-06[/C][C]4.48877478985862e-06[/C][C]0.999997755612605[/C][/ROW]
[ROW][C]8[/C][C]1.23546751602073e-07[/C][C]2.47093503204146e-07[/C][C]0.999999876453248[/C][/ROW]
[ROW][C]9[/C][C]1.29892905119990e-08[/C][C]2.59785810239980e-08[/C][C]0.99999998701071[/C][/ROW]
[ROW][C]10[/C][C]2.22676767036905e-09[/C][C]4.4535353407381e-09[/C][C]0.999999997773232[/C][/ROW]
[ROW][C]11[/C][C]4.37200924857126e-10[/C][C]8.74401849714251e-10[/C][C]0.9999999995628[/C][/ROW]
[ROW][C]12[/C][C]9.2863458154443e-11[/C][C]1.85726916308886e-10[/C][C]0.999999999907137[/C][/ROW]
[ROW][C]13[/C][C]2.27724676115078e-11[/C][C]4.55449352230156e-11[/C][C]0.999999999977228[/C][/ROW]
[ROW][C]14[/C][C]3.94154566370037e-12[/C][C]7.88309132740074e-12[/C][C]0.999999999996058[/C][/ROW]
[ROW][C]15[/C][C]6.23810097717734e-13[/C][C]1.24762019543547e-12[/C][C]0.999999999999376[/C][/ROW]
[ROW][C]16[/C][C]8.98189997330847e-14[/C][C]1.79637999466169e-13[/C][C]0.99999999999991[/C][/ROW]
[ROW][C]17[/C][C]1.18802860793401e-14[/C][C]2.37605721586802e-14[/C][C]0.999999999999988[/C][/ROW]
[ROW][C]18[/C][C]1.45273212405202e-15[/C][C]2.90546424810404e-15[/C][C]0.999999999999999[/C][/ROW]
[ROW][C]19[/C][C]1.64961038444720e-16[/C][C]3.29922076889441e-16[/C][C]1[/C][/ROW]
[ROW][C]20[/C][C]1.77045054540815e-17[/C][C]3.5409010908163e-17[/C][C]1[/C][/ROW]
[ROW][C]21[/C][C]2.23296681969833e-18[/C][C]4.46593363939667e-18[/C][C]1[/C][/ROW]
[ROW][C]22[/C][C]4.32005143571568e-19[/C][C]8.64010287143136e-19[/C][C]1[/C][/ROW]
[ROW][C]23[/C][C]1.02175798787992e-19[/C][C]2.04351597575985e-19[/C][C]1[/C][/ROW]
[ROW][C]24[/C][C]2.53723420316534e-20[/C][C]5.07446840633068e-20[/C][C]1[/C][/ROW]
[ROW][C]25[/C][C]6.2205702445584e-21[/C][C]1.24411404891168e-20[/C][C]1[/C][/ROW]
[ROW][C]26[/C][C]3.26466918487583e-21[/C][C]6.52933836975166e-21[/C][C]1[/C][/ROW]
[ROW][C]27[/C][C]4.77734052698965e-17[/C][C]9.5546810539793e-17[/C][C]1[/C][/ROW]
[ROW][C]28[/C][C]1.03736541710867e-15[/C][C]2.07473083421733e-15[/C][C]0.999999999999999[/C][/ROW]
[ROW][C]29[/C][C]1.21913049614340e-15[/C][C]2.43826099228681e-15[/C][C]0.999999999999999[/C][/ROW]
[ROW][C]30[/C][C]2.49813736193042e-16[/C][C]4.99627472386084e-16[/C][C]1[/C][/ROW]
[ROW][C]31[/C][C]4.47746106732221e-17[/C][C]8.95492213464442e-17[/C][C]1[/C][/ROW]
[ROW][C]32[/C][C]1.10785263499776e-17[/C][C]2.21570526999552e-17[/C][C]1[/C][/ROW]
[ROW][C]33[/C][C]1.09805012020899e-17[/C][C]2.19610024041799e-17[/C][C]1[/C][/ROW]
[ROW][C]34[/C][C]1.72082609647208e-17[/C][C]3.44165219294416e-17[/C][C]1[/C][/ROW]
[ROW][C]35[/C][C]3.35144959390588e-17[/C][C]6.70289918781176e-17[/C][C]1[/C][/ROW]
[ROW][C]36[/C][C]5.91774465618522e-17[/C][C]1.18354893123704e-16[/C][C]1[/C][/ROW]
[ROW][C]37[/C][C]7.52917904191667e-17[/C][C]1.50583580838333e-16[/C][C]1[/C][/ROW]
[ROW][C]38[/C][C]5.22271832239817e-17[/C][C]1.04454366447963e-16[/C][C]1[/C][/ROW]
[ROW][C]39[/C][C]2.65630375455165e-17[/C][C]5.3126075091033e-17[/C][C]1[/C][/ROW]
[ROW][C]40[/C][C]2.81563008577917e-17[/C][C]5.63126017155834e-17[/C][C]1[/C][/ROW]
[ROW][C]41[/C][C]1.70749058304831e-17[/C][C]3.41498116609662e-17[/C][C]1[/C][/ROW]
[ROW][C]42[/C][C]7.04367274032721e-18[/C][C]1.40873454806544e-17[/C][C]1[/C][/ROW]
[ROW][C]43[/C][C]2.40924518171769e-18[/C][C]4.81849036343538e-18[/C][C]1[/C][/ROW]
[ROW][C]44[/C][C]7.02936076681171e-19[/C][C]1.40587215336234e-18[/C][C]1[/C][/ROW]
[ROW][C]45[/C][C]1.82789075471884e-19[/C][C]3.65578150943768e-19[/C][C]1[/C][/ROW]
[ROW][C]46[/C][C]4.34986356489959e-20[/C][C]8.69972712979919e-20[/C][C]1[/C][/ROW]
[ROW][C]47[/C][C]9.926087379537e-21[/C][C]1.9852174759074e-20[/C][C]1[/C][/ROW]
[ROW][C]48[/C][C]2.75987816121595e-21[/C][C]5.51975632243191e-21[/C][C]1[/C][/ROW]
[ROW][C]49[/C][C]7.17287513209586e-22[/C][C]1.43457502641917e-21[/C][C]1[/C][/ROW]
[ROW][C]50[/C][C]1.6849105666746e-22[/C][C]3.3698211333492e-22[/C][C]1[/C][/ROW]
[ROW][C]51[/C][C]3.75757163537696e-23[/C][C]7.51514327075393e-23[/C][C]1[/C][/ROW]
[ROW][C]52[/C][C]8.16435726357662e-24[/C][C]1.63287145271532e-23[/C][C]1[/C][/ROW]
[ROW][C]53[/C][C]1.75810103514218e-24[/C][C]3.51620207028437e-24[/C][C]1[/C][/ROW]
[ROW][C]54[/C][C]3.85150218515854e-25[/C][C]7.70300437031707e-25[/C][C]1[/C][/ROW]
[ROW][C]55[/C][C]8.79213405114313e-26[/C][C]1.75842681022863e-25[/C][C]1[/C][/ROW]
[ROW][C]56[/C][C]2.15041549364395e-26[/C][C]4.30083098728789e-26[/C][C]1[/C][/ROW]
[ROW][C]57[/C][C]5.72063166005899e-27[/C][C]1.14412633201180e-26[/C][C]1[/C][/ROW]
[ROW][C]58[/C][C]1.20354378807067e-27[/C][C]2.40708757614135e-27[/C][C]1[/C][/ROW]
[ROW][C]59[/C][C]3.38370544787085e-28[/C][C]6.7674108957417e-28[/C][C]1[/C][/ROW]
[ROW][C]60[/C][C]8.27991456110653e-29[/C][C]1.65598291222131e-28[/C][C]1[/C][/ROW]
[ROW][C]61[/C][C]1.77126737801810e-29[/C][C]3.54253475603621e-29[/C][C]1[/C][/ROW]
[ROW][C]62[/C][C]3.56585038853745e-30[/C][C]7.1317007770749e-30[/C][C]1[/C][/ROW]
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[ROW][C]64[/C][C]3.39525015934702e-31[/C][C]6.79050031869403e-31[/C][C]1[/C][/ROW]
[ROW][C]65[/C][C]8.33603991061721e-32[/C][C]1.66720798212344e-31[/C][C]1[/C][/ROW]
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[ROW][C]67[/C][C]3.49670964869854e-33[/C][C]6.99341929739708e-33[/C][C]1[/C][/ROW]
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[ROW][C]73[/C][C]5.79589579445972e-37[/C][C]1.15917915889194e-36[/C][C]1[/C][/ROW]
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[ROW][C]76[/C][C]4.0581788259278e-39[/C][C]8.1163576518556e-39[/C][C]1[/C][/ROW]
[ROW][C]77[/C][C]7.35557981867923e-40[/C][C]1.47111596373585e-39[/C][C]1[/C][/ROW]
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[ROW][C]88[/C][C]2.62625461257432e-47[/C][C]5.25250922514864e-47[/C][C]1[/C][/ROW]
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[ROW][C]99[/C][C]1.79810020714199e-53[/C][C]3.59620041428399e-53[/C][C]1[/C][/ROW]
[ROW][C]100[/C][C]1.24843142404796e-53[/C][C]2.49686284809591e-53[/C][C]1[/C][/ROW]
[ROW][C]101[/C][C]2.80318515205473e-53[/C][C]5.60637030410947e-53[/C][C]1[/C][/ROW]
[ROW][C]102[/C][C]1.98606087976610e-53[/C][C]3.97212175953221e-53[/C][C]1[/C][/ROW]
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[ROW][C]104[/C][C]7.48091591861777e-53[/C][C]1.49618318372355e-52[/C][C]1[/C][/ROW]
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[ROW][C]106[/C][C]8.4602148615769e-53[/C][C]1.69204297231538e-52[/C][C]1[/C][/ROW]
[ROW][C]107[/C][C]2.97462897311930e-53[/C][C]5.94925794623859e-53[/C][C]1[/C][/ROW]
[ROW][C]108[/C][C]9.63924401094829e-54[/C][C]1.92784880218966e-53[/C][C]1[/C][/ROW]
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[ROW][C]110[/C][C]1.59865919449443e-53[/C][C]3.19731838898886e-53[/C][C]1[/C][/ROW]
[ROW][C]111[/C][C]1.82967888983628e-47[/C][C]3.65935777967256e-47[/C][C]1[/C][/ROW]
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[ROW][C]116[/C][C]2.67833885658420e-33[/C][C]5.35667771316839e-33[/C][C]1[/C][/ROW]
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[ROW][C]119[/C][C]1.75058152204085e-31[/C][C]3.50116304408169e-31[/C][C]1[/C][/ROW]
[ROW][C]120[/C][C]3.28800382912343e-31[/C][C]6.57600765824685e-31[/C][C]1[/C][/ROW]
[ROW][C]121[/C][C]3.94846776868941e-31[/C][C]7.89693553737883e-31[/C][C]1[/C][/ROW]
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[ROW][C]142[/C][C]8.58225330247629e-40[/C][C]1.71645066049526e-39[/C][C]1[/C][/ROW]
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[ROW][C]168[/C][C]6.11145991339051e-53[/C][C]1.22229198267810e-52[/C][C]1[/C][/ROW]
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[ROW][C]215[/C][C]3.39315813383104e-25[/C][C]6.78631626766208e-25[/C][C]1[/C][/ROW]
[ROW][C]216[/C][C]3.96848355835026e-23[/C][C]7.93696711670052e-23[/C][C]1[/C][/ROW]
[ROW][C]217[/C][C]1.48228024431036e-21[/C][C]2.96456048862073e-21[/C][C]1[/C][/ROW]
[ROW][C]218[/C][C]2.85447561530612e-20[/C][C]5.70895123061223e-20[/C][C]1[/C][/ROW]
[ROW][C]219[/C][C]2.70450806312925e-19[/C][C]5.40901612625849e-19[/C][C]1[/C][/ROW]
[ROW][C]220[/C][C]1.76101682180862e-18[/C][C]3.52203364361724e-18[/C][C]1[/C][/ROW]
[ROW][C]221[/C][C]1.39096746766588e-17[/C][C]2.78193493533176e-17[/C][C]1[/C][/ROW]
[ROW][C]222[/C][C]5.67534400809504e-17[/C][C]1.13506880161901e-16[/C][C]1[/C][/ROW]
[ROW][C]223[/C][C]1.61866372841193e-16[/C][C]3.23732745682386e-16[/C][C]1[/C][/ROW]
[ROW][C]224[/C][C]3.00602996907842e-16[/C][C]6.01205993815683e-16[/C][C]1[/C][/ROW]
[ROW][C]225[/C][C]4.69212443875332e-16[/C][C]9.38424887750665e-16[/C][C]1[/C][/ROW]
[ROW][C]226[/C][C]5.74153806350145e-16[/C][C]1.14830761270029e-15[/C][C]1[/C][/ROW]
[ROW][C]227[/C][C]6.84226480559885e-16[/C][C]1.36845296111977e-15[/C][C]1[/C][/ROW]
[ROW][C]228[/C][C]7.87057435022515e-16[/C][C]1.57411487004503e-15[/C][C]1[/C][/ROW]
[ROW][C]229[/C][C]7.18384136019587e-16[/C][C]1.43676827203917e-15[/C][C]1[/C][/ROW]
[ROW][C]230[/C][C]6.91296506868554e-16[/C][C]1.38259301373711e-15[/C][C]1[/C][/ROW]
[ROW][C]231[/C][C]6.48588393768493e-16[/C][C]1.29717678753699e-15[/C][C]1[/C][/ROW]
[ROW][C]232[/C][C]5.71639067836454e-16[/C][C]1.14327813567291e-15[/C][C]1[/C][/ROW]
[ROW][C]233[/C][C]5.07100404151269e-16[/C][C]1.01420080830254e-15[/C][C]1[/C][/ROW]
[ROW][C]234[/C][C]4.43405320977703e-16[/C][C]8.86810641955406e-16[/C][C]1[/C][/ROW]
[ROW][C]235[/C][C]4.00114986958914e-16[/C][C]8.00229973917828e-16[/C][C]1[/C][/ROW]
[ROW][C]236[/C][C]8.01284626364484e-16[/C][C]1.60256925272897e-15[/C][C]1[/C][/ROW]
[ROW][C]237[/C][C]1.75236751140270e-15[/C][C]3.50473502280541e-15[/C][C]0.999999999999998[/C][/ROW]
[ROW][C]238[/C][C]4.43387148293206e-15[/C][C]8.86774296586413e-15[/C][C]0.999999999999996[/C][/ROW]
[ROW][C]239[/C][C]1.02475054495240e-14[/C][C]2.04950108990480e-14[/C][C]0.99999999999999[/C][/ROW]
[ROW][C]240[/C][C]1.23004744091167e-14[/C][C]2.46009488182334e-14[/C][C]0.999999999999988[/C][/ROW]
[ROW][C]241[/C][C]1.12853949611149e-14[/C][C]2.25707899222297e-14[/C][C]0.999999999999989[/C][/ROW]
[ROW][C]242[/C][C]4.11769471759971e-14[/C][C]8.23538943519941e-14[/C][C]0.99999999999996[/C][/ROW]
[ROW][C]243[/C][C]1.94841522497007e-10[/C][C]3.89683044994015e-10[/C][C]0.999999999805159[/C][/ROW]
[ROW][C]244[/C][C]2.70180194485021e-08[/C][C]5.40360388970041e-08[/C][C]0.99999997298198[/C][/ROW]
[ROW][C]245[/C][C]5.90041156924856e-05[/C][C]0.000118008231384971[/C][C]0.999940995884308[/C][/ROW]
[ROW][C]246[/C][C]0.0112948627367436[/C][C]0.0225897254734872[/C][C]0.988705137263256[/C][/ROW]
[ROW][C]247[/C][C]0.0318046700592171[/C][C]0.0636093401184342[/C][C]0.968195329940783[/C][/ROW]
[ROW][C]248[/C][C]0.0607263006120721[/C][C]0.121452601224144[/C][C]0.939273699387928[/C][/ROW]
[ROW][C]249[/C][C]0.0942959714774687[/C][C]0.188591942954937[/C][C]0.905704028522531[/C][/ROW]
[ROW][C]250[/C][C]0.123250266723778[/C][C]0.246500533447555[/C][C]0.876749733276222[/C][/ROW]
[ROW][C]251[/C][C]0.144329503139849[/C][C]0.288659006279697[/C][C]0.855670496860151[/C][/ROW]
[ROW][C]252[/C][C]0.200008295569021[/C][C]0.400016591138043[/C][C]0.799991704430979[/C][/ROW]
[ROW][C]253[/C][C]0.272236310480323[/C][C]0.544472620960645[/C][C]0.727763689519678[/C][/ROW]
[ROW][C]254[/C][C]0.418534348999155[/C][C]0.83706869799831[/C][C]0.581465651000845[/C][/ROW]
[ROW][C]255[/C][C]0.479400234995016[/C][C]0.958800469990032[/C][C]0.520599765004984[/C][/ROW]
[ROW][C]256[/C][C]0.559641904664266[/C][C]0.880716190671468[/C][C]0.440358095335734[/C][/ROW]
[ROW][C]257[/C][C]0.582234409792486[/C][C]0.835531180415028[/C][C]0.417765590207514[/C][/ROW]
[ROW][C]258[/C][C]0.602114913364056[/C][C]0.795770173271888[/C][C]0.397885086635944[/C][/ROW]
[ROW][C]259[/C][C]0.630909107753128[/C][C]0.738181784493744[/C][C]0.369090892246872[/C][/ROW]
[ROW][C]260[/C][C]0.658628755698263[/C][C]0.682742488603474[/C][C]0.341371244301737[/C][/ROW]
[ROW][C]261[/C][C]0.658010956639604[/C][C]0.683978086720792[/C][C]0.341989043360396[/C][/ROW]
[ROW][C]262[/C][C]0.65498391573455[/C][C]0.690032168530901[/C][C]0.345016084265450[/C][/ROW]
[ROW][C]263[/C][C]0.674049856457612[/C][C]0.651900287084777[/C][C]0.325950143542388[/C][/ROW]
[ROW][C]264[/C][C]0.701970623040054[/C][C]0.596058753919892[/C][C]0.298029376959946[/C][/ROW]
[ROW][C]265[/C][C]0.728934395246217[/C][C]0.542131209507566[/C][C]0.271065604753783[/C][/ROW]
[ROW][C]266[/C][C]0.74829469515932[/C][C]0.503410609681361[/C][C]0.251705304840680[/C][/ROW]
[ROW][C]267[/C][C]0.775784922335095[/C][C]0.44843015532981[/C][C]0.224215077664905[/C][/ROW]
[ROW][C]268[/C][C]0.80097284657523[/C][C]0.398054306849541[/C][C]0.199027153424771[/C][/ROW]
[ROW][C]269[/C][C]0.82337597257137[/C][C]0.353248054857262[/C][C]0.176624027428631[/C][/ROW]
[ROW][C]270[/C][C]0.848449172525062[/C][C]0.303101654949876[/C][C]0.151550827474938[/C][/ROW]
[ROW][C]271[/C][C]0.858844233175318[/C][C]0.282311533649364[/C][C]0.141155766824682[/C][/ROW]
[ROW][C]272[/C][C]0.865485198795193[/C][C]0.269029602409614[/C][C]0.134514801204807[/C][/ROW]
[ROW][C]273[/C][C]0.865931364705916[/C][C]0.268137270588167[/C][C]0.134068635294084[/C][/ROW]
[ROW][C]274[/C][C]0.867547359074144[/C][C]0.264905281851712[/C][C]0.132452640925856[/C][/ROW]
[ROW][C]275[/C][C]0.890695065455694[/C][C]0.218609869088612[/C][C]0.109304934544306[/C][/ROW]
[ROW][C]276[/C][C]0.946715724416624[/C][C]0.106568551166752[/C][C]0.0532842755833759[/C][/ROW]
[ROW][C]277[/C][C]0.968082845910173[/C][C]0.0638343081796548[/C][C]0.0319171540898274[/C][/ROW]
[ROW][C]278[/C][C]0.979071717035011[/C][C]0.0418565659299773[/C][C]0.0209282829649886[/C][/ROW]
[ROW][C]279[/C][C]0.988426261551429[/C][C]0.0231474768971430[/C][C]0.0115737384485715[/C][/ROW]
[ROW][C]280[/C][C]0.993121318712272[/C][C]0.0137573625754558[/C][C]0.00687868128772791[/C][/ROW]
[ROW][C]281[/C][C]0.996167274936534[/C][C]0.00766545012693167[/C][C]0.00383272506346583[/C][/ROW]
[ROW][C]282[/C][C]0.997459707112556[/C][C]0.00508058577488771[/C][C]0.00254029288744386[/C][/ROW]
[ROW][C]283[/C][C]0.998425552169808[/C][C]0.00314889566038372[/C][C]0.00157444783019186[/C][/ROW]
[ROW][C]284[/C][C]0.998889765704188[/C][C]0.00222046859162304[/C][C]0.00111023429581152[/C][/ROW]
[ROW][C]285[/C][C]0.999229242559283[/C][C]0.00154151488143395[/C][C]0.000770757440716974[/C][/ROW]
[ROW][C]286[/C][C]0.999531450732397[/C][C]0.0009370985352056[/C][C]0.0004685492676028[/C][/ROW]
[ROW][C]287[/C][C]0.99976519688934[/C][C]0.000469606221321267[/C][C]0.000234803110660634[/C][/ROW]
[ROW][C]288[/C][C]0.999884765974597[/C][C]0.000230468050805727[/C][C]0.000115234025402864[/C][/ROW]
[ROW][C]289[/C][C]0.999935695090322[/C][C]0.000128609819356869[/C][C]6.43049096784345e-05[/C][/ROW]
[ROW][C]290[/C][C]0.99994948369171[/C][C]0.000101032616579505[/C][C]5.05163082897525e-05[/C][/ROW]
[ROW][C]291[/C][C]0.999961567515964[/C][C]7.68649680713749e-05[/C][C]3.84324840356874e-05[/C][/ROW]
[ROW][C]292[/C][C]0.999977314793215[/C][C]4.53704135697694e-05[/C][C]2.26852067848847e-05[/C][/ROW]
[ROW][C]293[/C][C]0.999991666877455[/C][C]1.66662450903146e-05[/C][C]8.33312254515732e-06[/C][/ROW]
[ROW][C]294[/C][C]0.999993248214023[/C][C]1.35035719540024e-05[/C][C]6.75178597700119e-06[/C][/ROW]
[ROW][C]295[/C][C]0.999994429682571[/C][C]1.11406348581547e-05[/C][C]5.57031742907733e-06[/C][/ROW]
[ROW][C]296[/C][C]0.999995608863846[/C][C]8.78227230815898e-06[/C][C]4.39113615407949e-06[/C][/ROW]
[ROW][C]297[/C][C]0.999996802723757[/C][C]6.39455248514322e-06[/C][C]3.19727624257161e-06[/C][/ROW]
[ROW][C]298[/C][C]0.99999670765699[/C][C]6.58468602002476e-06[/C][C]3.29234301001238e-06[/C][/ROW]
[ROW][C]299[/C][C]0.999997045443211[/C][C]5.90911357812633e-06[/C][C]2.95455678906316e-06[/C][/ROW]
[ROW][C]300[/C][C]0.999997173531668[/C][C]5.65293666349454e-06[/C][C]2.82646833174727e-06[/C][/ROW]
[ROW][C]301[/C][C]0.999997622650754[/C][C]4.75469849288649e-06[/C][C]2.37734924644324e-06[/C][/ROW]
[ROW][C]302[/C][C]0.999997787869449[/C][C]4.4242611027015e-06[/C][C]2.21213055135075e-06[/C][/ROW]
[ROW][C]303[/C][C]0.99999867360474[/C][C]2.65279051929475e-06[/C][C]1.32639525964738e-06[/C][/ROW]
[ROW][C]304[/C][C]0.999999503375057[/C][C]9.93249886319117e-07[/C][C]4.96624943159558e-07[/C][/ROW]
[ROW][C]305[/C][C]0.99999966331887[/C][C]6.73362259896048e-07[/C][C]3.36681129948024e-07[/C][/ROW]
[ROW][C]306[/C][C]0.999999712254594[/C][C]5.75490811186324e-07[/C][C]2.87745405593162e-07[/C][/ROW]
[ROW][C]307[/C][C]0.999999614670236[/C][C]7.70659528271264e-07[/C][C]3.85329764135632e-07[/C][/ROW]
[ROW][C]308[/C][C]0.999999440398575[/C][C]1.11920285084309e-06[/C][C]5.59601425421547e-07[/C][/ROW]
[ROW][C]309[/C][C]0.99999929118529[/C][C]1.41762942135618e-06[/C][C]7.08814710678088e-07[/C][/ROW]
[ROW][C]310[/C][C]0.999999068693664[/C][C]1.86261267169701e-06[/C][C]9.31306335848506e-07[/C][/ROW]
[ROW][C]311[/C][C]0.99999895635623[/C][C]2.08728753980111e-06[/C][C]1.04364376990055e-06[/C][/ROW]
[ROW][C]312[/C][C]0.99999837971972[/C][C]3.24056055844464e-06[/C][C]1.62028027922232e-06[/C][/ROW]
[ROW][C]313[/C][C]0.999997666311558[/C][C]4.66737688351338e-06[/C][C]2.33368844175669e-06[/C][/ROW]
[ROW][C]314[/C][C]0.999996385102735[/C][C]7.22979452904036e-06[/C][C]3.61489726452018e-06[/C][/ROW]
[ROW][C]315[/C][C]0.999994144876967[/C][C]1.17102460668793e-05[/C][C]5.85512303343964e-06[/C][/ROW]
[ROW][C]316[/C][C]0.999990423077473[/C][C]1.91538450545188e-05[/C][C]9.57692252725938e-06[/C][/ROW]
[ROW][C]317[/C][C]0.99998429661157[/C][C]3.14067768606982e-05[/C][C]1.57033884303491e-05[/C][/ROW]
[ROW][C]318[/C][C]0.99997488602387[/C][C]5.02279522588902e-05[/C][C]2.51139761294451e-05[/C][/ROW]
[ROW][C]319[/C][C]0.999958282287652[/C][C]8.34354246958029e-05[/C][C]4.17177123479014e-05[/C][/ROW]
[ROW][C]320[/C][C]0.999935095687695[/C][C]0.000129808624610267[/C][C]6.49043123051337e-05[/C][/ROW]
[ROW][C]321[/C][C]0.99990183718879[/C][C]0.000196325622421254[/C][C]9.81628112106272e-05[/C][/ROW]
[ROW][C]322[/C][C]0.99986780194893[/C][C]0.000264396102137995[/C][C]0.000132198051068997[/C][/ROW]
[ROW][C]323[/C][C]0.999830700419803[/C][C]0.000338599160393071[/C][C]0.000169299580196535[/C][/ROW]
[ROW][C]324[/C][C]0.999788368870357[/C][C]0.000423262259285437[/C][C]0.000211631129642718[/C][/ROW]
[ROW][C]325[/C][C]0.999673769807519[/C][C]0.0006524603849629[/C][C]0.00032623019248145[/C][/ROW]
[ROW][C]326[/C][C]0.999523384461239[/C][C]0.000953231077522272[/C][C]0.000476615538761136[/C][/ROW]
[ROW][C]327[/C][C]0.999287942612893[/C][C]0.00142411477421388[/C][C]0.00071205738710694[/C][/ROW]
[ROW][C]328[/C][C]0.999110886739526[/C][C]0.00177822652094881[/C][C]0.000889113260474403[/C][/ROW]
[ROW][C]329[/C][C]0.998927536098243[/C][C]0.00214492780351327[/C][C]0.00107246390175664[/C][/ROW]
[ROW][C]330[/C][C]0.998473993839864[/C][C]0.00305201232027116[/C][C]0.00152600616013558[/C][/ROW]
[ROW][C]331[/C][C]0.998986204204834[/C][C]0.00202759159033271[/C][C]0.00101379579516635[/C][/ROW]
[ROW][C]332[/C][C]0.999537729933978[/C][C]0.000924540132044782[/C][C]0.000462270066022391[/C][/ROW]
[ROW][C]333[/C][C]0.999715147086557[/C][C]0.000569705826885758[/C][C]0.000284852913442879[/C][/ROW]
[ROW][C]334[/C][C]0.99992793950258[/C][C]0.000144120994839232[/C][C]7.20604974196159e-05[/C][/ROW]
[ROW][C]335[/C][C]0.999967946133885[/C][C]6.41077322296736e-05[/C][C]3.20538661148368e-05[/C][/ROW]
[ROW][C]336[/C][C]0.999961912640159[/C][C]7.61747196828111e-05[/C][C]3.80873598414055e-05[/C][/ROW]
[ROW][C]337[/C][C]0.999960632695153[/C][C]7.87346096932333e-05[/C][C]3.93673048466166e-05[/C][/ROW]
[ROW][C]338[/C][C]0.99991342272557[/C][C]0.000173154548858324[/C][C]8.65772744291618e-05[/C][/ROW]
[ROW][C]339[/C][C]0.999963013300538[/C][C]7.3973398923257e-05[/C][C]3.69866994616285e-05[/C][/ROW]
[ROW][C]340[/C][C]0.999966663979887[/C][C]6.66720402251348e-05[/C][C]3.33360201125674e-05[/C][/ROW]
[ROW][C]341[/C][C]0.99996752339505[/C][C]6.49532099002882e-05[/C][C]3.24766049501441e-05[/C][/ROW]
[ROW][C]342[/C][C]0.999936448005473[/C][C]0.000127103989053084[/C][C]6.35519945265419e-05[/C][/ROW]
[ROW][C]343[/C][C]0.99985337310285[/C][C]0.00029325379430201[/C][C]0.000146626897151005[/C][/ROW]
[ROW][C]344[/C][C]0.999696736336768[/C][C]0.000606527326464002[/C][C]0.000303263663232001[/C][/ROW]
[ROW][C]345[/C][C]0.999750769413364[/C][C]0.000498461173271183[/C][C]0.000249230586635592[/C][/ROW]
[ROW][C]346[/C][C]0.99946407136271[/C][C]0.00107185727457891[/C][C]0.000535928637289454[/C][/ROW]
[ROW][C]347[/C][C]0.998678642419064[/C][C]0.00264271516187140[/C][C]0.00132135758093570[/C][/ROW]
[ROW][C]348[/C][C]0.996879776176317[/C][C]0.00624044764736657[/C][C]0.00312022382368329[/C][/ROW]
[ROW][C]349[/C][C]0.998480266292986[/C][C]0.00303946741402731[/C][C]0.00151973370701366[/C][/ROW]
[ROW][C]350[/C][C]0.998273220183384[/C][C]0.00345355963323155[/C][C]0.00172677981661577[/C][/ROW]
[ROW][C]351[/C][C]0.996559689111578[/C][C]0.00688062177684465[/C][C]0.00344031088842233[/C][/ROW]
[ROW][C]352[/C][C]0.996456565009462[/C][C]0.00708686998107652[/C][C]0.00354343499053826[/C][/ROW]
[ROW][C]353[/C][C]0.996531571042105[/C][C]0.00693685791579049[/C][C]0.00346842895789524[/C][/ROW]
[ROW][C]354[/C][C]0.98779560637965[/C][C]0.0244087872407013[/C][C]0.0122043936203506[/C][/ROW]
[ROW][C]355[/C][C]0.957172277313152[/C][C]0.0856554453736968[/C][C]0.0428277226868484[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=25712&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=25712&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
54.69623037680352e-069.39246075360704e-060.999995303769623
63.22057119168889e-056.44114238337778e-050.999967794288083
72.24438739492931e-064.48877478985862e-060.999997755612605
81.23546751602073e-072.47093503204146e-070.999999876453248
91.29892905119990e-082.59785810239980e-080.99999998701071
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3320.9995377299339780.0009245401320447820.000462270066022391
3330.9997151470865570.0005697058268857580.000284852913442879
3340.999927939502580.0001441209948392327.20604974196159e-05
3350.9999679461338856.41077322296736e-053.20538661148368e-05
3360.9999619126401597.61747196828111e-053.80873598414055e-05
3370.9999606326951537.87346096932333e-053.93673048466166e-05
3380.999913422725570.0001731545488583248.65772744291618e-05
3390.9999630133005387.3973398923257e-053.69866994616285e-05
3400.9999666639798876.66720402251348e-053.33360201125674e-05
3410.999967523395056.49532099002882e-053.24766049501441e-05
3420.9999364480054730.0001271039890530846.35519945265419e-05
3430.999853373102850.000293253794302010.000146626897151005
3440.9996967363367680.0006065273264640020.000303263663232001
3450.9997507694133640.0004984611732711830.000249230586635592
3460.999464071362710.001071857274578910.000535928637289454
3470.9986786424190640.002642715161871400.00132135758093570
3480.9968797761763170.006240447647366570.00312022382368329
3490.9984802662929860.003039467414027310.00151973370701366
3500.9982732201833840.003453559633231550.00172677981661577
3510.9965596891115780.006880621776844650.00344031088842233
3520.9964565650094620.007086869981076520.00354343499053826
3530.9965315710421050.006936857915790490.00346842895789524
3540.987795606379650.02440878724070130.0122043936203506
3550.9571722773131520.08565544537369680.0428277226868484







Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level3140.894586894586895NOK
5% type I error level3190.908831908831909NOK
10% type I error level3220.917378917378917NOK

\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 & 314 & 0.894586894586895 & NOK \tabularnewline
5% type I error level & 319 & 0.908831908831909 & NOK \tabularnewline
10% type I error level & 322 & 0.917378917378917 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=25712&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]314[/C][C]0.894586894586895[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]319[/C][C]0.908831908831909[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]322[/C][C]0.917378917378917[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=25712&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=25712&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 level3140.894586894586895NOK
5% type I error level3190.908831908831909NOK
10% type I error level3220.917378917378917NOK



Parameters (Session):
par1 = 1 ; par2 = Do not include Seasonal Dummies ; par3 = Linear Trend ;
Parameters (R input):
par1 = 1 ; par2 = Do not include Seasonal Dummies ; par3 = Linear Trend ;
R code (references can be found in the software module):
library(lattice)
library(lmtest)
n25 <- 25 #minimum number of obs. for Goldfeld-Quandt test
par1 <- as.numeric(par1)
x <- t(y)
k <- length(x[1,])
n <- length(x[,1])
x1 <- cbind(x[,par1], x[,1:k!=par1])
mycolnames <- c(colnames(x)[par1], colnames(x)[1:k!=par1])
colnames(x1) <- mycolnames #colnames(x)[par1]
x <- x1
if (par3 == 'First Differences'){
x2 <- array(0, dim=c(n-1,k), dimnames=list(1:(n-1), paste('(1-B)',colnames(x),sep='')))
for (i in 1:n-1) {
for (j in 1:k) {
x2[i,j] <- x[i+1,j] - x[i,j]
}
}
x <- x2
}
if (par2 == 'Include Monthly Dummies'){
x2 <- array(0, dim=c(n,11), dimnames=list(1:n, paste('M', seq(1:11), sep ='')))
for (i in 1:11){
x2[seq(i,n,12),i] <- 1
}
x <- cbind(x, x2)
}
if (par2 == 'Include Quarterly Dummies'){
x2 <- array(0, dim=c(n,3), dimnames=list(1:n, paste('Q', seq(1:3), sep ='')))
for (i in 1:3){
x2[seq(i,n,4),i] <- 1
}
x <- cbind(x, x2)
}
k <- length(x[1,])
if (par3 == 'Linear Trend'){
x <- cbind(x, c(1:n))
colnames(x)[k+1] <- 't'
}
x
k <- length(x[1,])
df <- as.data.frame(x)
(mylm <- lm(df))
(mysum <- summary(mylm))
if (n > n25) {
kp3 <- k + 3
nmkm3 <- n - k - 3
gqarr <- array(NA, dim=c(nmkm3-kp3+1,3))
numgqtests <- 0
numsignificant1 <- 0
numsignificant5 <- 0
numsignificant10 <- 0
for (mypoint in kp3:nmkm3) {
j <- 0
numgqtests <- numgqtests + 1
for (myalt in c('greater', 'two.sided', 'less')) {
j <- j + 1
gqarr[mypoint-kp3+1,j] <- gqtest(mylm, point=mypoint, alternative=myalt)$p.value
}
if (gqarr[mypoint-kp3+1,2] < 0.01) numsignificant1 <- numsignificant1 + 1
if (gqarr[mypoint-kp3+1,2] < 0.05) numsignificant5 <- numsignificant5 + 1
if (gqarr[mypoint-kp3+1,2] < 0.10) numsignificant10 <- numsignificant10 + 1
}
gqarr
}
bitmap(file='test0.png')
plot(x[,1], type='l', main='Actuals and Interpolation', ylab='value of Actuals and Interpolation (dots)', xlab='time or index')
points(x[,1]-mysum$resid)
grid()
dev.off()
bitmap(file='test1.png')
plot(mysum$resid, type='b', pch=19, main='Residuals', ylab='value of Residuals', xlab='time or index')
grid()
dev.off()
bitmap(file='test2.png')
hist(mysum$resid, main='Residual Histogram', xlab='values of Residuals')
grid()
dev.off()
bitmap(file='test3.png')
densityplot(~mysum$resid,col='black',main='Residual Density Plot', xlab='values of Residuals')
dev.off()
bitmap(file='test4.png')
qqnorm(mysum$resid, main='Residual Normal Q-Q Plot')
qqline(mysum$resid)
grid()
dev.off()
(myerror <- as.ts(mysum$resid))
bitmap(file='test5.png')
dum <- cbind(lag(myerror,k=1),myerror)
dum
dum1 <- dum[2:length(myerror),]
dum1
z <- as.data.frame(dum1)
z
plot(z,main=paste('Residual Lag plot, lowess, and regression line'), ylab='values of Residuals', xlab='lagged values of Residuals')
lines(lowess(z))
abline(lm(z))
grid()
dev.off()
bitmap(file='test6.png')
acf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Autocorrelation Function')
grid()
dev.off()
bitmap(file='test7.png')
pacf(mysum$resid, lag.max=length(mysum$resid)/2, main='Residual Partial Autocorrelation Function')
grid()
dev.off()
bitmap(file='test8.png')
opar <- par(mfrow = c(2,2), oma = c(0, 0, 1.1, 0))
plot(mylm, las = 1, sub='Residual Diagnostics')
par(opar)
dev.off()
if (n > n25) {
bitmap(file='test9.png')
plot(kp3:nmkm3,gqarr[,2], main='Goldfeld-Quandt test',ylab='2-sided p-value',xlab='breakpoint')
grid()
dev.off()
}
load(file='createtable')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Estimated Regression Equation', 1, TRUE)
a<-table.row.end(a)
myeq <- colnames(x)[1]
myeq <- paste(myeq, '[t] = ', sep='')
for (i in 1:k){
if (mysum$coefficients[i,1] > 0) myeq <- paste(myeq, '+', '')
myeq <- paste(myeq, mysum$coefficients[i,1], sep=' ')
if (rownames(mysum$coefficients)[i] != '(Intercept)') {
myeq <- paste(myeq, rownames(mysum$coefficients)[i], sep='')
if (rownames(mysum$coefficients)[i] != 't') myeq <- paste(myeq, '[t]', sep='')
}
}
myeq <- paste(myeq, ' + e[t]')
a<-table.row.start(a)
a<-table.element(a, myeq)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable1.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,hyperlink('ols1.htm','Multiple Linear Regression - Ordinary Least Squares',''), 6, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Variable',header=TRUE)
a<-table.element(a,'Parameter',header=TRUE)
a<-table.element(a,'S.D.',header=TRUE)
a<-table.element(a,'T-STAT
H0: parameter = 0',header=TRUE)
a<-table.element(a,'2-tail p-value',header=TRUE)
a<-table.element(a,'1-tail p-value',header=TRUE)
a<-table.row.end(a)
for (i in 1:k){
a<-table.row.start(a)
a<-table.element(a,rownames(mysum$coefficients)[i],header=TRUE)
a<-table.element(a,mysum$coefficients[i,1])
a<-table.element(a, round(mysum$coefficients[i,2],6))
a<-table.element(a, round(mysum$coefficients[i,3],4))
a<-table.element(a, round(mysum$coefficients[i,4],6))
a<-table.element(a, round(mysum$coefficients[i,4]/2,6))
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable2.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Regression Statistics', 2, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Multiple R',1,TRUE)
a<-table.element(a, sqrt(mysum$r.squared))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'R-squared',1,TRUE)
a<-table.element(a, mysum$r.squared)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Adjusted R-squared',1,TRUE)
a<-table.element(a, mysum$adj.r.squared)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (value)',1,TRUE)
a<-table.element(a, mysum$fstatistic[1])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (DF numerator)',1,TRUE)
a<-table.element(a, mysum$fstatistic[2])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'F-TEST (DF denominator)',1,TRUE)
a<-table.element(a, mysum$fstatistic[3])
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'p-value',1,TRUE)
a<-table.element(a, 1-pf(mysum$fstatistic[1],mysum$fstatistic[2],mysum$fstatistic[3]))
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Residual Statistics', 2, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Residual Standard Deviation',1,TRUE)
a<-table.element(a, mysum$sigma)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Sum Squared Residuals',1,TRUE)
a<-table.element(a, sum(myerror*myerror))
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable3.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a, 'Multiple Linear Regression - Actuals, Interpolation, and Residuals', 4, TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a, 'Time or Index', 1, TRUE)
a<-table.element(a, 'Actuals', 1, TRUE)
a<-table.element(a, 'Interpolation
Forecast', 1, TRUE)
a<-table.element(a, 'Residuals
Prediction Error', 1, TRUE)
a<-table.row.end(a)
for (i in 1:n) {
a<-table.row.start(a)
a<-table.element(a,i, 1, TRUE)
a<-table.element(a,x[i])
a<-table.element(a,x[i]-mysum$resid[i])
a<-table.element(a,mysum$resid[i])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable4.tab')
if (n > n25) {
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Goldfeld-Quandt test for Heteroskedasticity',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'p-values',header=TRUE)
a<-table.element(a,'Alternative Hypothesis',3,header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'breakpoint index',header=TRUE)
a<-table.element(a,'greater',header=TRUE)
a<-table.element(a,'2-sided',header=TRUE)
a<-table.element(a,'less',header=TRUE)
a<-table.row.end(a)
for (mypoint in kp3:nmkm3) {
a<-table.row.start(a)
a<-table.element(a,mypoint,header=TRUE)
a<-table.element(a,gqarr[mypoint-kp3+1,1])
a<-table.element(a,gqarr[mypoint-kp3+1,2])
a<-table.element(a,gqarr[mypoint-kp3+1,3])
a<-table.row.end(a)
}
a<-table.end(a)
table.save(a,file='mytable5.tab')
a<-table.start()
a<-table.row.start(a)
a<-table.element(a,'Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity',4,TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'Description',header=TRUE)
a<-table.element(a,'# significant tests',header=TRUE)
a<-table.element(a,'% significant tests',header=TRUE)
a<-table.element(a,'OK/NOK',header=TRUE)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'1% type I error level',header=TRUE)
a<-table.element(a,numsignificant1)
a<-table.element(a,numsignificant1/numgqtests)
if (numsignificant1/numgqtests < 0.01) dum <- 'OK' else dum <- 'NOK'
a<-table.element(a,dum)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'5% type I error level',header=TRUE)
a<-table.element(a,numsignificant5)
a<-table.element(a,numsignificant5/numgqtests)
if (numsignificant5/numgqtests < 0.05) dum <- 'OK' else dum <- 'NOK'
a<-table.element(a,dum)
a<-table.row.end(a)
a<-table.row.start(a)
a<-table.element(a,'10% type I error level',header=TRUE)
a<-table.element(a,numsignificant10)
a<-table.element(a,numsignificant10/numgqtests)
if (numsignificant10/numgqtests < 0.1) dum <- 'OK' else dum <- 'NOK'
a<-table.element(a,dum)
a<-table.row.end(a)
a<-table.end(a)
table.save(a,file='mytable6.tab')
}