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Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationThu, 01 Dec 2011 13:08:18 -0500
Cite this page as followsStatistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?v=date/2011/Dec/01/t1322762908rjsp55bski9jwj0.htm/, Retrieved Fri, 29 Mar 2024 08:43:44 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=149922, Retrieved Fri, 29 Mar 2024 08:43:44 +0000
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Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact73
Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-       [Multiple Regression] [traffic - mr] [2011-12-01 18:08:18] [3ce5305e82abe5b27e1176cc99946857] [Current]
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Dataseries X:
1483509
8036554
4623093
5528662
4221032
8061847
7640066
2935533
8161548
2543967
13163450
3348436
3997440
2322911
2019457
3047748
5728767
2605173
5646743
13121544
3453409
1878333
4247362
23022552
7646203
9016602
3606568
3173510
17568772
10805045
31056269
15623385
6663443
35435745
2823250
5197089
4120632
8832767
3695374
8385805
3777904
5199532
5297275
14847382
5900158
4416718
3926429
4876884
2795297
3385527
3877941
3556729
4982836
2976325
2295026
2218752
4146062
3302091
3864505
5454794
1749836
6684048
2809918
4092664
5070470
9814477
6665318
3912554
6188129
3627991
3308767
3820332
4932979
5567917
5020814
3803273
3999984
4883104
13731747
47531824
8415570
22178158
61211654
18223748
17678085
49299580
25899948
34121754
9859231
29740892
21085212
43003866
59549247
18026465
4680597
5564728
11792347
10371624
3728446
5732978
4067638
2395508
5018801
22068888
7678580
15510095
6471239
14349204
35151574
8210488
5022664
13996871
12822431
14011552
20260980
23718976
45833049
30688420
16576062
14844405
16728286
43477680
57497427
24233726
24921208
9516725
27977239
21632046
22956809
9704324
19871149
5553842
5667858
4348188
10025042
10639796
8639184
10764378
12097733
3988414
4607102
7126895
6009625
21533237
5986771
5455310
1822874
3374062
2920748
2295942
6809829
3318281
13784645
7366577
1628637
4258976
7159779
8098401
6894240
3771246
3249726
3147380
4063037
9621916
5890158
2142901
3145007
1562168
3303103
5886910
3454270
6995348
6487869
12091976
3934625
3999749
3613526
4271706
4253390
5551591
4663041
2104104
5385399
6205877
7529500
17222705
6230913
6508275
4518884
4234991
5625388
5810139
6942187
3711188
4261281
1989945
5033342
7239565
11058795
7384772
3884771
3239201
2316403
4034947
3245271
2387251
2174886
3436080
3738956
1884730
1509144
42728366
3446317
4600683
2953615
3570060
2130208
2442943
4892020
3222192
3121617
3665542
5519432
4113468
1714614
3651985
2419548
2378854
2303949
2555534
1713005
1705960
6115046
3951044
3785568
4670530
2265100
1105643
2814152
3728673
2038949
2402919
2348814
2797822
902505
1331319
4204238
2212485
6797382
4532324
1778808
1890720
5463736
11368931
2040164
4276399
3714445
2068168
1003842
2858535
2355484
2719262
1897741
3945185
3799916
1017654
3052241
3932970
3598151
2296005
2202018
2461777
2452042
2185142
11968502
20395972
21756900
30024300
10811344
1819202
1276885
2946701
3587459
2832691
6674805
3868362
4302909
23265229
22348002
11883953
6634979
2935493
3425669
1171611
6875879
19451908
13885933
7643317
10797966
7297445
8739736
12455537
24291181
4215150
28652176
6851172
3746871
7327861
16829710
13778594
6463717
8956867
21204915
16115855
2536113
16645717
17003730
15969006
31020427
23798897
20770321
44410402
27037491
29627771
18189792
4654610
12307201
15300578
10623864
6880178
29947357
18611399
42432604
20208278
14004392
25737765
16735738
22450825
6880840
8510379
8182481
10948683
4805277
2589229
5658407
12862611
5666188
6875556
7098766
36083309
10200330
7784976




Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time11 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 11 seconds \tabularnewline
R Server & 'Gwilym Jenkins' @ jenkins.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=149922&T=0

[TABLE]
[ROW][C]Summary of computational transaction[/C][/ROW]
[ROW][C]Raw Input[/C][C]view raw input (R code) [/C][/ROW]
[ROW][C]Raw Output[/C][C]view raw output of R engine [/C][/ROW]
[ROW][C]Computing time[/C][C]11 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gwilym Jenkins' @ jenkins.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=149922&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=149922&T=0

As an alternative you can also use a QR Code:  

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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time11 seconds
R Server'Gwilym Jenkins' @ jenkins.wessa.net







Multiple Linear Regression - Estimated Regression Equation
mr[t] = + 9816454.10344828 -587960.603448276M1[t] + 1538659.89655172M2[t] -1832191.63678161M3[t] -2508690.37011494M4[t] -2187620.75862069M5[t] -2480720.13793104M6[t] + 151722.448275861M7[t] + 3255728.75862069M8[t] + 1925884.13793103M9[t] + 433931.448275861M10[t] -1015490.55172414M11[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
mr[t] =  +  9816454.10344828 -587960.603448276M1[t] +  1538659.89655172M2[t] -1832191.63678161M3[t] -2508690.37011494M4[t] -2187620.75862069M5[t] -2480720.13793104M6[t] +  151722.448275861M7[t] +  3255728.75862069M8[t] +  1925884.13793103M9[t] +  433931.448275861M10[t] -1015490.55172414M11[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=149922&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]mr[t] =  +  9816454.10344828 -587960.603448276M1[t] +  1538659.89655172M2[t] -1832191.63678161M3[t] -2508690.37011494M4[t] -2187620.75862069M5[t] -2480720.13793104M6[t] +  151722.448275861M7[t] +  3255728.75862069M8[t] +  1925884.13793103M9[t] +  433931.448275861M10[t] -1015490.55172414M11[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=149922&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=149922&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
mr[t] = + 9816454.10344828 -587960.603448276M1[t] + 1538659.89655172M2[t] -1832191.63678161M3[t] -2508690.37011494M4[t] -2187620.75862069M5[t] -2480720.13793104M6[t] + 151722.448275861M7[t] + 3255728.75862069M8[t] + 1925884.13793103M9[t] + 433931.448275861M10[t] -1015490.55172414M11[t] + e[t]







Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)9816454.103448281915198.9343545.125600
M1-587960.6034482762685834.63459-0.21890.826850.413425
M21538659.896551722685834.634590.57290.5671050.283552
M3-1832191.636781612685834.63459-0.68220.4955970.247798
M4-2508690.370114942685834.63459-0.9340.3509440.175472
M5-2187620.758620692708500.307606-0.80770.4198350.209918
M6-2480720.137931042708500.307606-0.91590.3603680.180184
M7151722.4482758612708500.3076060.0560.9553610.477681
M83255728.758620692708500.3076061.2020.2301840.115092
M91925884.137931032708500.3076060.71110.477540.23877
M10433931.4482758612708500.3076060.16020.872810.436405
M11-1015490.551724142708500.307606-0.37490.7079480.353974

\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) & 9816454.10344828 & 1915198.934354 & 5.1256 & 0 & 0 \tabularnewline
M1 & -587960.603448276 & 2685834.63459 & -0.2189 & 0.82685 & 0.413425 \tabularnewline
M2 & 1538659.89655172 & 2685834.63459 & 0.5729 & 0.567105 & 0.283552 \tabularnewline
M3 & -1832191.63678161 & 2685834.63459 & -0.6822 & 0.495597 & 0.247798 \tabularnewline
M4 & -2508690.37011494 & 2685834.63459 & -0.934 & 0.350944 & 0.175472 \tabularnewline
M5 & -2187620.75862069 & 2708500.307606 & -0.8077 & 0.419835 & 0.209918 \tabularnewline
M6 & -2480720.13793104 & 2708500.307606 & -0.9159 & 0.360368 & 0.180184 \tabularnewline
M7 & 151722.448275861 & 2708500.307606 & 0.056 & 0.955361 & 0.477681 \tabularnewline
M8 & 3255728.75862069 & 2708500.307606 & 1.202 & 0.230184 & 0.115092 \tabularnewline
M9 & 1925884.13793103 & 2708500.307606 & 0.7111 & 0.47754 & 0.23877 \tabularnewline
M10 & 433931.448275861 & 2708500.307606 & 0.1602 & 0.87281 & 0.436405 \tabularnewline
M11 & -1015490.55172414 & 2708500.307606 & -0.3749 & 0.707948 & 0.353974 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=149922&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]9816454.10344828[/C][C]1915198.934354[/C][C]5.1256[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]M1[/C][C]-587960.603448276[/C][C]2685834.63459[/C][C]-0.2189[/C][C]0.82685[/C][C]0.413425[/C][/ROW]
[ROW][C]M2[/C][C]1538659.89655172[/C][C]2685834.63459[/C][C]0.5729[/C][C]0.567105[/C][C]0.283552[/C][/ROW]
[ROW][C]M3[/C][C]-1832191.63678161[/C][C]2685834.63459[/C][C]-0.6822[/C][C]0.495597[/C][C]0.247798[/C][/ROW]
[ROW][C]M4[/C][C]-2508690.37011494[/C][C]2685834.63459[/C][C]-0.934[/C][C]0.350944[/C][C]0.175472[/C][/ROW]
[ROW][C]M5[/C][C]-2187620.75862069[/C][C]2708500.307606[/C][C]-0.8077[/C][C]0.419835[/C][C]0.209918[/C][/ROW]
[ROW][C]M6[/C][C]-2480720.13793104[/C][C]2708500.307606[/C][C]-0.9159[/C][C]0.360368[/C][C]0.180184[/C][/ROW]
[ROW][C]M7[/C][C]151722.448275861[/C][C]2708500.307606[/C][C]0.056[/C][C]0.955361[/C][C]0.477681[/C][/ROW]
[ROW][C]M8[/C][C]3255728.75862069[/C][C]2708500.307606[/C][C]1.202[/C][C]0.230184[/C][C]0.115092[/C][/ROW]
[ROW][C]M9[/C][C]1925884.13793103[/C][C]2708500.307606[/C][C]0.7111[/C][C]0.47754[/C][C]0.23877[/C][/ROW]
[ROW][C]M10[/C][C]433931.448275861[/C][C]2708500.307606[/C][C]0.1602[/C][C]0.87281[/C][C]0.436405[/C][/ROW]
[ROW][C]M11[/C][C]-1015490.55172414[/C][C]2708500.307606[/C][C]-0.3749[/C][C]0.707948[/C][C]0.353974[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=149922&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=149922&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)9816454.103448281915198.9343545.125600
M1-587960.6034482762685834.63459-0.21890.826850.413425
M21538659.896551722685834.634590.57290.5671050.283552
M3-1832191.636781612685834.63459-0.68220.4955970.247798
M4-2508690.370114942685834.63459-0.9340.3509440.175472
M5-2187620.758620692708500.307606-0.80770.4198350.209918
M6-2480720.137931042708500.307606-0.91590.3603680.180184
M7151722.4482758612708500.3076060.0560.9553610.477681
M83255728.758620692708500.3076061.2020.2301840.115092
M91925884.137931032708500.3076060.71110.477540.23877
M10433931.4482758612708500.3076060.16020.872810.436405
M11-1015490.551724142708500.307606-0.37490.7079480.353974







Multiple Linear Regression - Regression Statistics
Multiple R0.172648012753614
R-squared0.0298073363077719
Adjusted R-squared-0.00158124987050612
F-TEST (value)0.949623412105119
F-TEST (DF numerator)11
F-TEST (DF denominator)340
p-value0.492698291357412
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation10313661.8999458
Sum Squared Residuals36166351407373544

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.172648012753614 \tabularnewline
R-squared & 0.0298073363077719 \tabularnewline
Adjusted R-squared & -0.00158124987050612 \tabularnewline
F-TEST (value) & 0.949623412105119 \tabularnewline
F-TEST (DF numerator) & 11 \tabularnewline
F-TEST (DF denominator) & 340 \tabularnewline
p-value & 0.492698291357412 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 10313661.8999458 \tabularnewline
Sum Squared Residuals & 36166351407373544 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=149922&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.172648012753614[/C][/ROW]
[ROW][C]R-squared[/C][C]0.0298073363077719[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]-0.00158124987050612[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]0.949623412105119[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]11[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]340[/C][/ROW]
[ROW][C]p-value[/C][C]0.492698291357412[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]10313661.8999458[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]36166351407373544[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=149922&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=149922&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 R0.172648012753614
R-squared0.0298073363077719
Adjusted R-squared-0.00158124987050612
F-TEST (value)0.949623412105119
F-TEST (DF numerator)11
F-TEST (DF denominator)340
p-value0.492698291357412
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation10313661.8999458
Sum Squared Residuals36166351407373544







Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
114835099228493.49999998-7744984.49999998
2803655411355114-3318560
346230937984262.46666666-3361169.46666666
455286627307763.73333334-1779101.73333334
542210327628833.34482758-3407801.34482758
680618477335733.96551724726113.034482759
776400669968176.55172414-2328110.55172414
8293553313072182.862069-10136649.862069
9816154811742338.2413793-3580790.24137931
10254396710250385.5517241-7706418.55172414
11131634508800963.551724144362486.44827586
1233484369816454.10344828-6468018.10344828
1339974409228493.5-5231053.5
14232291111355114-9032203
1520194577984262.46666667-5964805.46666667
1630477487307763.73333333-4260015.73333333
1757287677628833.34482759-1900066.34482759
1826051737335733.96551724-4730560.96551724
1956467439968176.55172414-4321433.55172414
201312154413072182.86206949361.1379310355
21345340911742338.2413793-8288929.24137931
22187833310250385.5517241-8372052.55172414
2342473628800963.55172414-4553601.55172414
24230225529816454.1034482813206097.8965517
2576462039228493.5-1582290.5
26901660211355114-2338512
2736065687984262.46666667-4377694.46666667
2831735107307763.73333333-4134253.73333333
29175687727628833.344827589939938.65517242
30108050457335733.965517243469311.03448276
31310562699968176.5517241421088092.4482759
321562338513072182.8620692551202.13793104
33666344311742338.2413793-5078895.24137931
343543574510250385.551724125185359.4482759
3528232508800963.55172414-5977713.55172414
3651970899816454.10344828-4619365.10344828
3741206329228493.5-5107861.5
38883276711355114-2522347
3936953747984262.46666667-4288888.46666667
4083858057307763.733333331078041.26666667
4137779047628833.34482758-3850929.34482759
4251995327335733.96551724-2136201.96551724
4352972759968176.55172414-4670901.55172414
441484738213072182.8620691775199.13793104
45590015811742338.2413793-5842180.24137931
46441671810250385.5517241-5833667.55172414
4739264298800963.55172414-4874534.55172414
4848768849816454.10344828-4939570.10344827
4927952979228493.5-6433196.5
50338552711355114-7969587
5138779417984262.46666667-4106321.46666667
5235567297307763.73333333-3751034.73333333
5349828367628833.34482759-2645997.34482759
5429763257335733.96551724-4359408.96551724
5522950269968176.55172414-7673150.55172414
56221875213072182.862069-10853430.862069
57414606211742338.2413793-7596276.24137931
58330209110250385.5517241-6948294.55172414
5938645058800963.55172414-4936458.55172414
6054547949816454.10344828-4361660.10344827
6117498369228493.5-7478657.5
62668404811355114-4671066
6328099187984262.46666667-5174344.46666667
6440926647307763.73333333-3215099.73333333
6550704707628833.34482759-2558363.34482759
6698144777335733.965517242478743.03448276
6766653189968176.55172414-3302858.55172414
68391255413072182.862069-9159628.86206896
69618812911742338.2413793-5554209.24137931
70362799110250385.5517241-6622394.55172414
7133087678800963.55172414-5492196.55172414
7238203329816454.10344828-5996122.10344828
7349329799228493.5-4295514.5
74556791711355114-5787197
7550208147984262.46666667-2963448.46666667
7638032737307763.73333333-3504490.73333333
7739999847628833.34482758-3628849.34482759
7848831047335733.96551724-2452629.96551724
79137317479968176.551724143763570.44827586
804753182413072182.86206934459641.137931
81841557011742338.2413793-3326768.24137931
822217815810250385.551724111927772.4482759
83612116548800963.5517241752410690.4482758
84182237489816454.103448288407293.89655172
85176780859228493.58449591.5
86492995801135511437944466
87258999487984262.4666666717915685.5333333
88341217547307763.7333333326813990.2666667
8998592317628833.344827582230397.65517242
90297408927335733.9655172422405158.0344828
91210852129968176.5517241411117035.4482759
924300386613072182.86206929931683.137931
935954924711742338.241379347806908.7586207
941802646510250385.55172417776079.44827586
9546805978800963.55172414-4120366.55172414
9655647289816454.10344828-4251726.10344827
97117923479228493.52563853.5
981037162411355114-983490
9937284467984262.46666667-4255816.46666667
10057329787307763.73333333-1574785.73333333
10140676387628833.34482758-3561195.34482759
10223955087335733.96551724-4940225.96551724
10350188019968176.55172414-4949375.55172414
1042206888813072182.8620698996705.13793104
105767858011742338.2413793-4063758.24137931
1061551009510250385.55172415259709.44827586
10764712398800963.55172414-2329724.55172414
108143492049816454.103448284532749.89655172
109351515749228493.4999999925923080.5
110821048811355114-3144626
11150226647984262.46666667-2961598.46666667
112139968717307763.733333336689107.26666667
113128224317628833.344827595193597.65517241
114140115527335733.965517246675818.03448276
115202609809968176.5517241410292803.4482759
1162371897613072182.86206910646793.137931
1174583304911742338.241379334090710.7586207
1183068842010250385.551724120438034.4482759
119165760628800963.551724147775098.44827586
120148444059816454.103448285027950.89655172
121167282869228493.57499792.5
122434776801135511432122566
123574974277984262.4666666749513164.5333333
124242337267307763.7333333316925962.2666667
125249212087628833.344827617292374.6551724
12695167257335733.965517242180991.03448276
127279772399968176.5517241418009062.4482759
1282163204613072182.8620698559863.13793104
1292295680911742338.241379311214470.7586207
130970432410250385.5517241-546061.551724138
131198711498800963.5517241411070185.4482759
13255538429816454.10344828-4262612.10344827
13356678589228493.5-3560635.5
134434818811355114-7006926
135100250427984262.466666672040779.53333333
136106397967307763.733333333332032.26666667
13786391847628833.344827591010350.65517241
138107643787335733.965517243428644.03448276
139120977339968176.551724142129556.44827586
140398841413072182.862069-9083768.86206896
141460710211742338.2413793-7135236.24137931
142712689510250385.5517241-3123490.55172414
14360096258800963.55172414-2791338.55172414
144215332379816454.1034482811716782.8965517
14559867719228493.5-3241722.5
146545531011355114-5899804
14718228747984262.46666667-6161388.46666667
14833740627307763.73333333-3933701.73333333
14929207487628833.34482758-4708085.34482758
15022959427335733.96551724-5039791.96551724
15168098299968176.55172414-3158347.55172414
152331828113072182.862069-9753901.86206896
1531378464511742338.24137932042306.75862069
154736657710250385.5517241-2883808.55172414
15516286378800963.55172414-7172326.55172414
15642589769816454.10344828-5557478.10344828
15771597799228493.5-2068714.5
158809840111355114-3256713
15968942407984262.46666667-1090022.46666667
16037712467307763.73333333-3536517.73333333
16132497267628833.34482759-4379107.34482759
16231473807335733.96551724-4188353.96551724
16340630379968176.55172414-5905139.55172414
164962191613072182.862069-3450266.86206896
165589015811742338.2413793-5852180.24137931
166214290110250385.5517241-8107484.55172414
16731450078800963.55172414-5655956.55172414
16815621689816454.10344828-8254286.10344828
16933031039228493.5-5925390.5
170588691011355114-5468204
17134542707984262.46666667-4529992.46666667
17269953487307763.73333333-312415.733333333
17364878697628833.34482759-1140964.34482759
174120919767335733.965517244756242.03448276
17539346259968176.55172414-6033551.55172414
176399974913072182.862069-9072433.86206896
177361352611742338.2413793-8128812.24137931
178427170610250385.5517241-5978679.55172414
17942533908800963.55172414-4547573.55172414
18055515919816454.10344828-4264863.10344827
18146630419228493.5-4565452.5
182210410411355114-9251010
18353853997984262.46666667-2598863.46666667
18462058777307763.73333333-1101886.73333333
18575295007628833.34482759-99333.3448275863
186172227057335733.965517249886971.03448276
18762309139968176.55172414-3737263.55172414
188650827513072182.862069-6563907.86206896
189451888411742338.2413793-7223454.24137931
190423499110250385.5517241-6015394.55172414
19156253888800963.55172414-3175575.55172414
19258101399816454.10344828-4006315.10344828
19369421879228493.5-2286306.5
194371118811355114-7643926
19542612817984262.46666667-3722981.46666667
19619899457307763.73333333-5317818.73333333
19750333427628833.34482759-2595491.34482759
19872395657335733.96551724-96168.9655172414
199110587959968176.551724141090618.44827586
200738477213072182.862069-5687410.86206896
201388477111742338.2413793-7857567.24137931
202323920110250385.5517241-7011184.55172414
20323164038800963.55172414-6484560.55172414
20440349479816454.10344828-5781507.10344828
20532452719228493.5-5983222.5
206238725111355114-8967863
20721748867984262.46666667-5809376.46666667
20834360807307763.73333333-3871683.73333333
20937389567628833.34482758-3889877.34482759
21018847307335733.96551724-5451003.96551724
21115091449968176.55172414-8459032.55172414
2124272836613072182.86206929656183.137931
213344631711742338.2413793-8296021.24137931
214460068310250385.5517241-5649702.55172414
21529536158800963.55172414-5847348.55172414
21635700609816454.10344828-6246394.10344828
21721302089228493.5-7098285.5
218244294311355114-8912171
21948920207984262.46666667-3092242.46666667
22032221927307763.73333333-4085571.73333333
22131216177628833.34482759-4507216.34482759
22236655427335733.96551724-3670191.96551724
22355194329968176.55172414-4448744.55172414
224411346813072182.862069-8958714.86206896
225171461411742338.2413793-10027724.2413793
226365198510250385.5517241-6598400.55172414
22724195488800963.55172414-6381415.55172414
22823788549816454.10344828-7437600.10344828
22923039499228493.5-6924544.5
230255553411355114-8799580
23117130057984262.46666667-6271257.46666667
23217059607307763.73333333-5601803.73333333
23361150467628833.34482759-1513787.34482759
23439510447335733.96551724-3384689.96551724
23537855689968176.55172414-6182608.55172414
236467053013072182.862069-8401652.86206896
237226510011742338.2413793-9477238.24137931
238110564310250385.5517241-9144742.55172414
23928141528800963.55172414-5986811.55172414
24037286739816454.10344828-6087781.10344828
24120389499228493.5-7189544.5
242240291911355114-8952195
24323488147984262.46666667-5635448.46666667
24427978227307763.73333334-4509941.73333334
2459025057628833.34482759-6726328.34482759
24613313197335733.96551724-6004414.96551724
24742042389968176.55172414-5763938.55172414
248221248513072182.862069-10859697.862069
249679738211742338.2413793-4944956.24137931
250453232410250385.5517241-5718061.55172414
25117788088800963.55172414-7022155.55172414
25218907209816454.10344828-7925734.10344828
25354637369228493.5-3764757.5
254113689311135511413816.9999999998
25520401647984262.46666667-5944098.46666667
25642763997307763.73333333-3031364.73333333
25737144457628833.34482758-3914388.34482759
25820681687335733.96551724-5267565.96551724
25910038429968176.55172414-8964334.55172414
260285853513072182.862069-10213647.862069
261235548411742338.2413793-9386854.24137931
262271926210250385.5517241-7531123.55172414
26318977418800963.55172414-6903222.55172414
26439451859816454.10344828-5871269.10344828
26537999169228493.5-5428577.5
266101765411355114-10337460
26730522417984262.46666667-4932021.46666667
26839329707307763.73333333-3374793.73333333
26935981517628833.34482758-4030682.34482759
27022960057335733.96551724-5039728.96551724
27122020189968176.55172414-7766158.55172414
272246177713072182.862069-10610405.862069
273245204211742338.2413793-9290296.24137931
274218514210250385.5517241-8065243.55172414
275119685028800963.551724143167538.44827586
276203959729816454.1034482810579517.8965517
277217569009228493.512528406.5
278300243001135511418669186
279108113447984262.466666672827081.53333333
28018192027307763.73333333-5488561.73333333
28112768857628833.34482759-6351948.34482759
28229467017335733.96551724-4389032.96551724
28335874599968176.55172414-6380717.55172414
284283269113072182.862069-10239491.862069
285667480511742338.2413793-5067533.24137931
286386836210250385.5517241-6382023.55172414
28743029098800963.55172414-4498054.55172414
288232652299816454.1034482813448774.8965517
289223480029228493.513119508.5
2901188395311355114528839
29166349797984262.46666667-1349283.46666667
29229354937307763.73333334-4372270.73333334
29334256697628833.34482759-4203164.34482759
29411716117335733.96551724-6164122.96551724
29568758799968176.55172414-3092297.55172414
2961945190813072182.8620696379725.13793104
2971388593311742338.24137932143594.75862069
298764331710250385.5517241-2607068.55172414
299107979668800963.551724141997002.44827586
30072974459816454.10344828-2519009.10344828
30187397369228493.5-488757.500000001
30212455537113551141100423
303242911817984262.4666666716306918.5333333
30442151507307763.73333333-3092613.73333333
305286521767628833.3448275921023342.6551724
30668511727335733.96551724-484561.965517241
30737468719968176.55172414-6221305.55172414
308732786113072182.862069-5744321.86206896
3091682971011742338.24137935087371.75862069
3101377859410250385.55172413528208.44827586
31164637178800963.55172414-2337246.55172414
31289568679816454.10344828-859587.103448277
313212049159228493.511976421.5
31416115855113551144760741
31525361137984262.46666667-5448149.46666667
316166457177307763.733333339337953.26666667
317170037307628833.344827589374896.65517242
318159690067335733.965517248633272.03448276
319310204279968176.5517241421052250.4482759
3202379889713072182.86206910726714.137931
3212077032111742338.24137939027982.75862069
3224441040210250385.551724234160016.4482758
323270374918800963.5517241318236527.4482759
324296277719816454.1034482719811316.8965517
325181897929228493.58961298.5
326465461011355114-6700504
327123072017984262.466666674322938.53333333
328153005787307763.733333337992814.26666667
329106238647628833.344827582995030.65517242
33068801787335733.96551724-455555.965517241
331299473579968176.5517241419979180.4482759
3321861139913072182.8620695539216.13793104
3334243260411742338.241379330690265.7586207
3342020827810250385.55172419957892.44827586
335140043928800963.551724145203428.44827586
336257377659816454.1034482715921310.8965517
337167357389228493.57507244.5
338224508251135511411095711
33968808407984262.46666667-1103422.46666667
34085103797307763.733333331202615.26666667
34181824817628833.34482759553647.655172413
342109486837335733.965517243612949.03448276
34348052779968176.55172414-5162899.55172414
344258922913072182.862069-10482953.862069
345565840711742338.2413793-6083931.24137931
3461286261110250385.55172412612225.44827586
34756661888800963.55172414-3134775.55172414
34868755569816454.10344828-2940898.10344828
34970987669228493.5-2129727.5
350360833091135511424728195
351102003307984262.466666672216067.53333333
35277849767307763.73333333477212.266666667

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 1483509 & 9228493.49999998 & -7744984.49999998 \tabularnewline
2 & 8036554 & 11355114 & -3318560 \tabularnewline
3 & 4623093 & 7984262.46666666 & -3361169.46666666 \tabularnewline
4 & 5528662 & 7307763.73333334 & -1779101.73333334 \tabularnewline
5 & 4221032 & 7628833.34482758 & -3407801.34482758 \tabularnewline
6 & 8061847 & 7335733.96551724 & 726113.034482759 \tabularnewline
7 & 7640066 & 9968176.55172414 & -2328110.55172414 \tabularnewline
8 & 2935533 & 13072182.862069 & -10136649.862069 \tabularnewline
9 & 8161548 & 11742338.2413793 & -3580790.24137931 \tabularnewline
10 & 2543967 & 10250385.5517241 & -7706418.55172414 \tabularnewline
11 & 13163450 & 8800963.55172414 & 4362486.44827586 \tabularnewline
12 & 3348436 & 9816454.10344828 & -6468018.10344828 \tabularnewline
13 & 3997440 & 9228493.5 & -5231053.5 \tabularnewline
14 & 2322911 & 11355114 & -9032203 \tabularnewline
15 & 2019457 & 7984262.46666667 & -5964805.46666667 \tabularnewline
16 & 3047748 & 7307763.73333333 & -4260015.73333333 \tabularnewline
17 & 5728767 & 7628833.34482759 & -1900066.34482759 \tabularnewline
18 & 2605173 & 7335733.96551724 & -4730560.96551724 \tabularnewline
19 & 5646743 & 9968176.55172414 & -4321433.55172414 \tabularnewline
20 & 13121544 & 13072182.862069 & 49361.1379310355 \tabularnewline
21 & 3453409 & 11742338.2413793 & -8288929.24137931 \tabularnewline
22 & 1878333 & 10250385.5517241 & -8372052.55172414 \tabularnewline
23 & 4247362 & 8800963.55172414 & -4553601.55172414 \tabularnewline
24 & 23022552 & 9816454.10344828 & 13206097.8965517 \tabularnewline
25 & 7646203 & 9228493.5 & -1582290.5 \tabularnewline
26 & 9016602 & 11355114 & -2338512 \tabularnewline
27 & 3606568 & 7984262.46666667 & -4377694.46666667 \tabularnewline
28 & 3173510 & 7307763.73333333 & -4134253.73333333 \tabularnewline
29 & 17568772 & 7628833.34482758 & 9939938.65517242 \tabularnewline
30 & 10805045 & 7335733.96551724 & 3469311.03448276 \tabularnewline
31 & 31056269 & 9968176.55172414 & 21088092.4482759 \tabularnewline
32 & 15623385 & 13072182.862069 & 2551202.13793104 \tabularnewline
33 & 6663443 & 11742338.2413793 & -5078895.24137931 \tabularnewline
34 & 35435745 & 10250385.5517241 & 25185359.4482759 \tabularnewline
35 & 2823250 & 8800963.55172414 & -5977713.55172414 \tabularnewline
36 & 5197089 & 9816454.10344828 & -4619365.10344828 \tabularnewline
37 & 4120632 & 9228493.5 & -5107861.5 \tabularnewline
38 & 8832767 & 11355114 & -2522347 \tabularnewline
39 & 3695374 & 7984262.46666667 & -4288888.46666667 \tabularnewline
40 & 8385805 & 7307763.73333333 & 1078041.26666667 \tabularnewline
41 & 3777904 & 7628833.34482758 & -3850929.34482759 \tabularnewline
42 & 5199532 & 7335733.96551724 & -2136201.96551724 \tabularnewline
43 & 5297275 & 9968176.55172414 & -4670901.55172414 \tabularnewline
44 & 14847382 & 13072182.862069 & 1775199.13793104 \tabularnewline
45 & 5900158 & 11742338.2413793 & -5842180.24137931 \tabularnewline
46 & 4416718 & 10250385.5517241 & -5833667.55172414 \tabularnewline
47 & 3926429 & 8800963.55172414 & -4874534.55172414 \tabularnewline
48 & 4876884 & 9816454.10344828 & -4939570.10344827 \tabularnewline
49 & 2795297 & 9228493.5 & -6433196.5 \tabularnewline
50 & 3385527 & 11355114 & -7969587 \tabularnewline
51 & 3877941 & 7984262.46666667 & -4106321.46666667 \tabularnewline
52 & 3556729 & 7307763.73333333 & -3751034.73333333 \tabularnewline
53 & 4982836 & 7628833.34482759 & -2645997.34482759 \tabularnewline
54 & 2976325 & 7335733.96551724 & -4359408.96551724 \tabularnewline
55 & 2295026 & 9968176.55172414 & -7673150.55172414 \tabularnewline
56 & 2218752 & 13072182.862069 & -10853430.862069 \tabularnewline
57 & 4146062 & 11742338.2413793 & -7596276.24137931 \tabularnewline
58 & 3302091 & 10250385.5517241 & -6948294.55172414 \tabularnewline
59 & 3864505 & 8800963.55172414 & -4936458.55172414 \tabularnewline
60 & 5454794 & 9816454.10344828 & -4361660.10344827 \tabularnewline
61 & 1749836 & 9228493.5 & -7478657.5 \tabularnewline
62 & 6684048 & 11355114 & -4671066 \tabularnewline
63 & 2809918 & 7984262.46666667 & -5174344.46666667 \tabularnewline
64 & 4092664 & 7307763.73333333 & -3215099.73333333 \tabularnewline
65 & 5070470 & 7628833.34482759 & -2558363.34482759 \tabularnewline
66 & 9814477 & 7335733.96551724 & 2478743.03448276 \tabularnewline
67 & 6665318 & 9968176.55172414 & -3302858.55172414 \tabularnewline
68 & 3912554 & 13072182.862069 & -9159628.86206896 \tabularnewline
69 & 6188129 & 11742338.2413793 & -5554209.24137931 \tabularnewline
70 & 3627991 & 10250385.5517241 & -6622394.55172414 \tabularnewline
71 & 3308767 & 8800963.55172414 & -5492196.55172414 \tabularnewline
72 & 3820332 & 9816454.10344828 & -5996122.10344828 \tabularnewline
73 & 4932979 & 9228493.5 & -4295514.5 \tabularnewline
74 & 5567917 & 11355114 & -5787197 \tabularnewline
75 & 5020814 & 7984262.46666667 & -2963448.46666667 \tabularnewline
76 & 3803273 & 7307763.73333333 & -3504490.73333333 \tabularnewline
77 & 3999984 & 7628833.34482758 & -3628849.34482759 \tabularnewline
78 & 4883104 & 7335733.96551724 & -2452629.96551724 \tabularnewline
79 & 13731747 & 9968176.55172414 & 3763570.44827586 \tabularnewline
80 & 47531824 & 13072182.862069 & 34459641.137931 \tabularnewline
81 & 8415570 & 11742338.2413793 & -3326768.24137931 \tabularnewline
82 & 22178158 & 10250385.5517241 & 11927772.4482759 \tabularnewline
83 & 61211654 & 8800963.55172417 & 52410690.4482758 \tabularnewline
84 & 18223748 & 9816454.10344828 & 8407293.89655172 \tabularnewline
85 & 17678085 & 9228493.5 & 8449591.5 \tabularnewline
86 & 49299580 & 11355114 & 37944466 \tabularnewline
87 & 25899948 & 7984262.46666667 & 17915685.5333333 \tabularnewline
88 & 34121754 & 7307763.73333333 & 26813990.2666667 \tabularnewline
89 & 9859231 & 7628833.34482758 & 2230397.65517242 \tabularnewline
90 & 29740892 & 7335733.96551724 & 22405158.0344828 \tabularnewline
91 & 21085212 & 9968176.55172414 & 11117035.4482759 \tabularnewline
92 & 43003866 & 13072182.862069 & 29931683.137931 \tabularnewline
93 & 59549247 & 11742338.2413793 & 47806908.7586207 \tabularnewline
94 & 18026465 & 10250385.5517241 & 7776079.44827586 \tabularnewline
95 & 4680597 & 8800963.55172414 & -4120366.55172414 \tabularnewline
96 & 5564728 & 9816454.10344828 & -4251726.10344827 \tabularnewline
97 & 11792347 & 9228493.5 & 2563853.5 \tabularnewline
98 & 10371624 & 11355114 & -983490 \tabularnewline
99 & 3728446 & 7984262.46666667 & -4255816.46666667 \tabularnewline
100 & 5732978 & 7307763.73333333 & -1574785.73333333 \tabularnewline
101 & 4067638 & 7628833.34482758 & -3561195.34482759 \tabularnewline
102 & 2395508 & 7335733.96551724 & -4940225.96551724 \tabularnewline
103 & 5018801 & 9968176.55172414 & -4949375.55172414 \tabularnewline
104 & 22068888 & 13072182.862069 & 8996705.13793104 \tabularnewline
105 & 7678580 & 11742338.2413793 & -4063758.24137931 \tabularnewline
106 & 15510095 & 10250385.5517241 & 5259709.44827586 \tabularnewline
107 & 6471239 & 8800963.55172414 & -2329724.55172414 \tabularnewline
108 & 14349204 & 9816454.10344828 & 4532749.89655172 \tabularnewline
109 & 35151574 & 9228493.49999999 & 25923080.5 \tabularnewline
110 & 8210488 & 11355114 & -3144626 \tabularnewline
111 & 5022664 & 7984262.46666667 & -2961598.46666667 \tabularnewline
112 & 13996871 & 7307763.73333333 & 6689107.26666667 \tabularnewline
113 & 12822431 & 7628833.34482759 & 5193597.65517241 \tabularnewline
114 & 14011552 & 7335733.96551724 & 6675818.03448276 \tabularnewline
115 & 20260980 & 9968176.55172414 & 10292803.4482759 \tabularnewline
116 & 23718976 & 13072182.862069 & 10646793.137931 \tabularnewline
117 & 45833049 & 11742338.2413793 & 34090710.7586207 \tabularnewline
118 & 30688420 & 10250385.5517241 & 20438034.4482759 \tabularnewline
119 & 16576062 & 8800963.55172414 & 7775098.44827586 \tabularnewline
120 & 14844405 & 9816454.10344828 & 5027950.89655172 \tabularnewline
121 & 16728286 & 9228493.5 & 7499792.5 \tabularnewline
122 & 43477680 & 11355114 & 32122566 \tabularnewline
123 & 57497427 & 7984262.46666667 & 49513164.5333333 \tabularnewline
124 & 24233726 & 7307763.73333333 & 16925962.2666667 \tabularnewline
125 & 24921208 & 7628833.3448276 & 17292374.6551724 \tabularnewline
126 & 9516725 & 7335733.96551724 & 2180991.03448276 \tabularnewline
127 & 27977239 & 9968176.55172414 & 18009062.4482759 \tabularnewline
128 & 21632046 & 13072182.862069 & 8559863.13793104 \tabularnewline
129 & 22956809 & 11742338.2413793 & 11214470.7586207 \tabularnewline
130 & 9704324 & 10250385.5517241 & -546061.551724138 \tabularnewline
131 & 19871149 & 8800963.55172414 & 11070185.4482759 \tabularnewline
132 & 5553842 & 9816454.10344828 & -4262612.10344827 \tabularnewline
133 & 5667858 & 9228493.5 & -3560635.5 \tabularnewline
134 & 4348188 & 11355114 & -7006926 \tabularnewline
135 & 10025042 & 7984262.46666667 & 2040779.53333333 \tabularnewline
136 & 10639796 & 7307763.73333333 & 3332032.26666667 \tabularnewline
137 & 8639184 & 7628833.34482759 & 1010350.65517241 \tabularnewline
138 & 10764378 & 7335733.96551724 & 3428644.03448276 \tabularnewline
139 & 12097733 & 9968176.55172414 & 2129556.44827586 \tabularnewline
140 & 3988414 & 13072182.862069 & -9083768.86206896 \tabularnewline
141 & 4607102 & 11742338.2413793 & -7135236.24137931 \tabularnewline
142 & 7126895 & 10250385.5517241 & -3123490.55172414 \tabularnewline
143 & 6009625 & 8800963.55172414 & -2791338.55172414 \tabularnewline
144 & 21533237 & 9816454.10344828 & 11716782.8965517 \tabularnewline
145 & 5986771 & 9228493.5 & -3241722.5 \tabularnewline
146 & 5455310 & 11355114 & -5899804 \tabularnewline
147 & 1822874 & 7984262.46666667 & -6161388.46666667 \tabularnewline
148 & 3374062 & 7307763.73333333 & -3933701.73333333 \tabularnewline
149 & 2920748 & 7628833.34482758 & -4708085.34482758 \tabularnewline
150 & 2295942 & 7335733.96551724 & -5039791.96551724 \tabularnewline
151 & 6809829 & 9968176.55172414 & -3158347.55172414 \tabularnewline
152 & 3318281 & 13072182.862069 & -9753901.86206896 \tabularnewline
153 & 13784645 & 11742338.2413793 & 2042306.75862069 \tabularnewline
154 & 7366577 & 10250385.5517241 & -2883808.55172414 \tabularnewline
155 & 1628637 & 8800963.55172414 & -7172326.55172414 \tabularnewline
156 & 4258976 & 9816454.10344828 & -5557478.10344828 \tabularnewline
157 & 7159779 & 9228493.5 & -2068714.5 \tabularnewline
158 & 8098401 & 11355114 & -3256713 \tabularnewline
159 & 6894240 & 7984262.46666667 & -1090022.46666667 \tabularnewline
160 & 3771246 & 7307763.73333333 & -3536517.73333333 \tabularnewline
161 & 3249726 & 7628833.34482759 & -4379107.34482759 \tabularnewline
162 & 3147380 & 7335733.96551724 & -4188353.96551724 \tabularnewline
163 & 4063037 & 9968176.55172414 & -5905139.55172414 \tabularnewline
164 & 9621916 & 13072182.862069 & -3450266.86206896 \tabularnewline
165 & 5890158 & 11742338.2413793 & -5852180.24137931 \tabularnewline
166 & 2142901 & 10250385.5517241 & -8107484.55172414 \tabularnewline
167 & 3145007 & 8800963.55172414 & -5655956.55172414 \tabularnewline
168 & 1562168 & 9816454.10344828 & -8254286.10344828 \tabularnewline
169 & 3303103 & 9228493.5 & -5925390.5 \tabularnewline
170 & 5886910 & 11355114 & -5468204 \tabularnewline
171 & 3454270 & 7984262.46666667 & -4529992.46666667 \tabularnewline
172 & 6995348 & 7307763.73333333 & -312415.733333333 \tabularnewline
173 & 6487869 & 7628833.34482759 & -1140964.34482759 \tabularnewline
174 & 12091976 & 7335733.96551724 & 4756242.03448276 \tabularnewline
175 & 3934625 & 9968176.55172414 & -6033551.55172414 \tabularnewline
176 & 3999749 & 13072182.862069 & -9072433.86206896 \tabularnewline
177 & 3613526 & 11742338.2413793 & -8128812.24137931 \tabularnewline
178 & 4271706 & 10250385.5517241 & -5978679.55172414 \tabularnewline
179 & 4253390 & 8800963.55172414 & -4547573.55172414 \tabularnewline
180 & 5551591 & 9816454.10344828 & -4264863.10344827 \tabularnewline
181 & 4663041 & 9228493.5 & -4565452.5 \tabularnewline
182 & 2104104 & 11355114 & -9251010 \tabularnewline
183 & 5385399 & 7984262.46666667 & -2598863.46666667 \tabularnewline
184 & 6205877 & 7307763.73333333 & -1101886.73333333 \tabularnewline
185 & 7529500 & 7628833.34482759 & -99333.3448275863 \tabularnewline
186 & 17222705 & 7335733.96551724 & 9886971.03448276 \tabularnewline
187 & 6230913 & 9968176.55172414 & -3737263.55172414 \tabularnewline
188 & 6508275 & 13072182.862069 & -6563907.86206896 \tabularnewline
189 & 4518884 & 11742338.2413793 & -7223454.24137931 \tabularnewline
190 & 4234991 & 10250385.5517241 & -6015394.55172414 \tabularnewline
191 & 5625388 & 8800963.55172414 & -3175575.55172414 \tabularnewline
192 & 5810139 & 9816454.10344828 & -4006315.10344828 \tabularnewline
193 & 6942187 & 9228493.5 & -2286306.5 \tabularnewline
194 & 3711188 & 11355114 & -7643926 \tabularnewline
195 & 4261281 & 7984262.46666667 & -3722981.46666667 \tabularnewline
196 & 1989945 & 7307763.73333333 & -5317818.73333333 \tabularnewline
197 & 5033342 & 7628833.34482759 & -2595491.34482759 \tabularnewline
198 & 7239565 & 7335733.96551724 & -96168.9655172414 \tabularnewline
199 & 11058795 & 9968176.55172414 & 1090618.44827586 \tabularnewline
200 & 7384772 & 13072182.862069 & -5687410.86206896 \tabularnewline
201 & 3884771 & 11742338.2413793 & -7857567.24137931 \tabularnewline
202 & 3239201 & 10250385.5517241 & -7011184.55172414 \tabularnewline
203 & 2316403 & 8800963.55172414 & -6484560.55172414 \tabularnewline
204 & 4034947 & 9816454.10344828 & -5781507.10344828 \tabularnewline
205 & 3245271 & 9228493.5 & -5983222.5 \tabularnewline
206 & 2387251 & 11355114 & -8967863 \tabularnewline
207 & 2174886 & 7984262.46666667 & -5809376.46666667 \tabularnewline
208 & 3436080 & 7307763.73333333 & -3871683.73333333 \tabularnewline
209 & 3738956 & 7628833.34482758 & -3889877.34482759 \tabularnewline
210 & 1884730 & 7335733.96551724 & -5451003.96551724 \tabularnewline
211 & 1509144 & 9968176.55172414 & -8459032.55172414 \tabularnewline
212 & 42728366 & 13072182.862069 & 29656183.137931 \tabularnewline
213 & 3446317 & 11742338.2413793 & -8296021.24137931 \tabularnewline
214 & 4600683 & 10250385.5517241 & -5649702.55172414 \tabularnewline
215 & 2953615 & 8800963.55172414 & -5847348.55172414 \tabularnewline
216 & 3570060 & 9816454.10344828 & -6246394.10344828 \tabularnewline
217 & 2130208 & 9228493.5 & -7098285.5 \tabularnewline
218 & 2442943 & 11355114 & -8912171 \tabularnewline
219 & 4892020 & 7984262.46666667 & -3092242.46666667 \tabularnewline
220 & 3222192 & 7307763.73333333 & -4085571.73333333 \tabularnewline
221 & 3121617 & 7628833.34482759 & -4507216.34482759 \tabularnewline
222 & 3665542 & 7335733.96551724 & -3670191.96551724 \tabularnewline
223 & 5519432 & 9968176.55172414 & -4448744.55172414 \tabularnewline
224 & 4113468 & 13072182.862069 & -8958714.86206896 \tabularnewline
225 & 1714614 & 11742338.2413793 & -10027724.2413793 \tabularnewline
226 & 3651985 & 10250385.5517241 & -6598400.55172414 \tabularnewline
227 & 2419548 & 8800963.55172414 & -6381415.55172414 \tabularnewline
228 & 2378854 & 9816454.10344828 & -7437600.10344828 \tabularnewline
229 & 2303949 & 9228493.5 & -6924544.5 \tabularnewline
230 & 2555534 & 11355114 & -8799580 \tabularnewline
231 & 1713005 & 7984262.46666667 & -6271257.46666667 \tabularnewline
232 & 1705960 & 7307763.73333333 & -5601803.73333333 \tabularnewline
233 & 6115046 & 7628833.34482759 & -1513787.34482759 \tabularnewline
234 & 3951044 & 7335733.96551724 & -3384689.96551724 \tabularnewline
235 & 3785568 & 9968176.55172414 & -6182608.55172414 \tabularnewline
236 & 4670530 & 13072182.862069 & -8401652.86206896 \tabularnewline
237 & 2265100 & 11742338.2413793 & -9477238.24137931 \tabularnewline
238 & 1105643 & 10250385.5517241 & -9144742.55172414 \tabularnewline
239 & 2814152 & 8800963.55172414 & -5986811.55172414 \tabularnewline
240 & 3728673 & 9816454.10344828 & -6087781.10344828 \tabularnewline
241 & 2038949 & 9228493.5 & -7189544.5 \tabularnewline
242 & 2402919 & 11355114 & -8952195 \tabularnewline
243 & 2348814 & 7984262.46666667 & -5635448.46666667 \tabularnewline
244 & 2797822 & 7307763.73333334 & -4509941.73333334 \tabularnewline
245 & 902505 & 7628833.34482759 & -6726328.34482759 \tabularnewline
246 & 1331319 & 7335733.96551724 & -6004414.96551724 \tabularnewline
247 & 4204238 & 9968176.55172414 & -5763938.55172414 \tabularnewline
248 & 2212485 & 13072182.862069 & -10859697.862069 \tabularnewline
249 & 6797382 & 11742338.2413793 & -4944956.24137931 \tabularnewline
250 & 4532324 & 10250385.5517241 & -5718061.55172414 \tabularnewline
251 & 1778808 & 8800963.55172414 & -7022155.55172414 \tabularnewline
252 & 1890720 & 9816454.10344828 & -7925734.10344828 \tabularnewline
253 & 5463736 & 9228493.5 & -3764757.5 \tabularnewline
254 & 11368931 & 11355114 & 13816.9999999998 \tabularnewline
255 & 2040164 & 7984262.46666667 & -5944098.46666667 \tabularnewline
256 & 4276399 & 7307763.73333333 & -3031364.73333333 \tabularnewline
257 & 3714445 & 7628833.34482758 & -3914388.34482759 \tabularnewline
258 & 2068168 & 7335733.96551724 & -5267565.96551724 \tabularnewline
259 & 1003842 & 9968176.55172414 & -8964334.55172414 \tabularnewline
260 & 2858535 & 13072182.862069 & -10213647.862069 \tabularnewline
261 & 2355484 & 11742338.2413793 & -9386854.24137931 \tabularnewline
262 & 2719262 & 10250385.5517241 & -7531123.55172414 \tabularnewline
263 & 1897741 & 8800963.55172414 & -6903222.55172414 \tabularnewline
264 & 3945185 & 9816454.10344828 & -5871269.10344828 \tabularnewline
265 & 3799916 & 9228493.5 & -5428577.5 \tabularnewline
266 & 1017654 & 11355114 & -10337460 \tabularnewline
267 & 3052241 & 7984262.46666667 & -4932021.46666667 \tabularnewline
268 & 3932970 & 7307763.73333333 & -3374793.73333333 \tabularnewline
269 & 3598151 & 7628833.34482758 & -4030682.34482759 \tabularnewline
270 & 2296005 & 7335733.96551724 & -5039728.96551724 \tabularnewline
271 & 2202018 & 9968176.55172414 & -7766158.55172414 \tabularnewline
272 & 2461777 & 13072182.862069 & -10610405.862069 \tabularnewline
273 & 2452042 & 11742338.2413793 & -9290296.24137931 \tabularnewline
274 & 2185142 & 10250385.5517241 & -8065243.55172414 \tabularnewline
275 & 11968502 & 8800963.55172414 & 3167538.44827586 \tabularnewline
276 & 20395972 & 9816454.10344828 & 10579517.8965517 \tabularnewline
277 & 21756900 & 9228493.5 & 12528406.5 \tabularnewline
278 & 30024300 & 11355114 & 18669186 \tabularnewline
279 & 10811344 & 7984262.46666667 & 2827081.53333333 \tabularnewline
280 & 1819202 & 7307763.73333333 & -5488561.73333333 \tabularnewline
281 & 1276885 & 7628833.34482759 & -6351948.34482759 \tabularnewline
282 & 2946701 & 7335733.96551724 & -4389032.96551724 \tabularnewline
283 & 3587459 & 9968176.55172414 & -6380717.55172414 \tabularnewline
284 & 2832691 & 13072182.862069 & -10239491.862069 \tabularnewline
285 & 6674805 & 11742338.2413793 & -5067533.24137931 \tabularnewline
286 & 3868362 & 10250385.5517241 & -6382023.55172414 \tabularnewline
287 & 4302909 & 8800963.55172414 & -4498054.55172414 \tabularnewline
288 & 23265229 & 9816454.10344828 & 13448774.8965517 \tabularnewline
289 & 22348002 & 9228493.5 & 13119508.5 \tabularnewline
290 & 11883953 & 11355114 & 528839 \tabularnewline
291 & 6634979 & 7984262.46666667 & -1349283.46666667 \tabularnewline
292 & 2935493 & 7307763.73333334 & -4372270.73333334 \tabularnewline
293 & 3425669 & 7628833.34482759 & -4203164.34482759 \tabularnewline
294 & 1171611 & 7335733.96551724 & -6164122.96551724 \tabularnewline
295 & 6875879 & 9968176.55172414 & -3092297.55172414 \tabularnewline
296 & 19451908 & 13072182.862069 & 6379725.13793104 \tabularnewline
297 & 13885933 & 11742338.2413793 & 2143594.75862069 \tabularnewline
298 & 7643317 & 10250385.5517241 & -2607068.55172414 \tabularnewline
299 & 10797966 & 8800963.55172414 & 1997002.44827586 \tabularnewline
300 & 7297445 & 9816454.10344828 & -2519009.10344828 \tabularnewline
301 & 8739736 & 9228493.5 & -488757.500000001 \tabularnewline
302 & 12455537 & 11355114 & 1100423 \tabularnewline
303 & 24291181 & 7984262.46666667 & 16306918.5333333 \tabularnewline
304 & 4215150 & 7307763.73333333 & -3092613.73333333 \tabularnewline
305 & 28652176 & 7628833.34482759 & 21023342.6551724 \tabularnewline
306 & 6851172 & 7335733.96551724 & -484561.965517241 \tabularnewline
307 & 3746871 & 9968176.55172414 & -6221305.55172414 \tabularnewline
308 & 7327861 & 13072182.862069 & -5744321.86206896 \tabularnewline
309 & 16829710 & 11742338.2413793 & 5087371.75862069 \tabularnewline
310 & 13778594 & 10250385.5517241 & 3528208.44827586 \tabularnewline
311 & 6463717 & 8800963.55172414 & -2337246.55172414 \tabularnewline
312 & 8956867 & 9816454.10344828 & -859587.103448277 \tabularnewline
313 & 21204915 & 9228493.5 & 11976421.5 \tabularnewline
314 & 16115855 & 11355114 & 4760741 \tabularnewline
315 & 2536113 & 7984262.46666667 & -5448149.46666667 \tabularnewline
316 & 16645717 & 7307763.73333333 & 9337953.26666667 \tabularnewline
317 & 17003730 & 7628833.34482758 & 9374896.65517242 \tabularnewline
318 & 15969006 & 7335733.96551724 & 8633272.03448276 \tabularnewline
319 & 31020427 & 9968176.55172414 & 21052250.4482759 \tabularnewline
320 & 23798897 & 13072182.862069 & 10726714.137931 \tabularnewline
321 & 20770321 & 11742338.2413793 & 9027982.75862069 \tabularnewline
322 & 44410402 & 10250385.5517242 & 34160016.4482758 \tabularnewline
323 & 27037491 & 8800963.55172413 & 18236527.4482759 \tabularnewline
324 & 29627771 & 9816454.10344827 & 19811316.8965517 \tabularnewline
325 & 18189792 & 9228493.5 & 8961298.5 \tabularnewline
326 & 4654610 & 11355114 & -6700504 \tabularnewline
327 & 12307201 & 7984262.46666667 & 4322938.53333333 \tabularnewline
328 & 15300578 & 7307763.73333333 & 7992814.26666667 \tabularnewline
329 & 10623864 & 7628833.34482758 & 2995030.65517242 \tabularnewline
330 & 6880178 & 7335733.96551724 & -455555.965517241 \tabularnewline
331 & 29947357 & 9968176.55172414 & 19979180.4482759 \tabularnewline
332 & 18611399 & 13072182.862069 & 5539216.13793104 \tabularnewline
333 & 42432604 & 11742338.2413793 & 30690265.7586207 \tabularnewline
334 & 20208278 & 10250385.5517241 & 9957892.44827586 \tabularnewline
335 & 14004392 & 8800963.55172414 & 5203428.44827586 \tabularnewline
336 & 25737765 & 9816454.10344827 & 15921310.8965517 \tabularnewline
337 & 16735738 & 9228493.5 & 7507244.5 \tabularnewline
338 & 22450825 & 11355114 & 11095711 \tabularnewline
339 & 6880840 & 7984262.46666667 & -1103422.46666667 \tabularnewline
340 & 8510379 & 7307763.73333333 & 1202615.26666667 \tabularnewline
341 & 8182481 & 7628833.34482759 & 553647.655172413 \tabularnewline
342 & 10948683 & 7335733.96551724 & 3612949.03448276 \tabularnewline
343 & 4805277 & 9968176.55172414 & -5162899.55172414 \tabularnewline
344 & 2589229 & 13072182.862069 & -10482953.862069 \tabularnewline
345 & 5658407 & 11742338.2413793 & -6083931.24137931 \tabularnewline
346 & 12862611 & 10250385.5517241 & 2612225.44827586 \tabularnewline
347 & 5666188 & 8800963.55172414 & -3134775.55172414 \tabularnewline
348 & 6875556 & 9816454.10344828 & -2940898.10344828 \tabularnewline
349 & 7098766 & 9228493.5 & -2129727.5 \tabularnewline
350 & 36083309 & 11355114 & 24728195 \tabularnewline
351 & 10200330 & 7984262.46666667 & 2216067.53333333 \tabularnewline
352 & 7784976 & 7307763.73333333 & 477212.266666667 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=149922&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]1483509[/C][C]9228493.49999998[/C][C]-7744984.49999998[/C][/ROW]
[ROW][C]2[/C][C]8036554[/C][C]11355114[/C][C]-3318560[/C][/ROW]
[ROW][C]3[/C][C]4623093[/C][C]7984262.46666666[/C][C]-3361169.46666666[/C][/ROW]
[ROW][C]4[/C][C]5528662[/C][C]7307763.73333334[/C][C]-1779101.73333334[/C][/ROW]
[ROW][C]5[/C][C]4221032[/C][C]7628833.34482758[/C][C]-3407801.34482758[/C][/ROW]
[ROW][C]6[/C][C]8061847[/C][C]7335733.96551724[/C][C]726113.034482759[/C][/ROW]
[ROW][C]7[/C][C]7640066[/C][C]9968176.55172414[/C][C]-2328110.55172414[/C][/ROW]
[ROW][C]8[/C][C]2935533[/C][C]13072182.862069[/C][C]-10136649.862069[/C][/ROW]
[ROW][C]9[/C][C]8161548[/C][C]11742338.2413793[/C][C]-3580790.24137931[/C][/ROW]
[ROW][C]10[/C][C]2543967[/C][C]10250385.5517241[/C][C]-7706418.55172414[/C][/ROW]
[ROW][C]11[/C][C]13163450[/C][C]8800963.55172414[/C][C]4362486.44827586[/C][/ROW]
[ROW][C]12[/C][C]3348436[/C][C]9816454.10344828[/C][C]-6468018.10344828[/C][/ROW]
[ROW][C]13[/C][C]3997440[/C][C]9228493.5[/C][C]-5231053.5[/C][/ROW]
[ROW][C]14[/C][C]2322911[/C][C]11355114[/C][C]-9032203[/C][/ROW]
[ROW][C]15[/C][C]2019457[/C][C]7984262.46666667[/C][C]-5964805.46666667[/C][/ROW]
[ROW][C]16[/C][C]3047748[/C][C]7307763.73333333[/C][C]-4260015.73333333[/C][/ROW]
[ROW][C]17[/C][C]5728767[/C][C]7628833.34482759[/C][C]-1900066.34482759[/C][/ROW]
[ROW][C]18[/C][C]2605173[/C][C]7335733.96551724[/C][C]-4730560.96551724[/C][/ROW]
[ROW][C]19[/C][C]5646743[/C][C]9968176.55172414[/C][C]-4321433.55172414[/C][/ROW]
[ROW][C]20[/C][C]13121544[/C][C]13072182.862069[/C][C]49361.1379310355[/C][/ROW]
[ROW][C]21[/C][C]3453409[/C][C]11742338.2413793[/C][C]-8288929.24137931[/C][/ROW]
[ROW][C]22[/C][C]1878333[/C][C]10250385.5517241[/C][C]-8372052.55172414[/C][/ROW]
[ROW][C]23[/C][C]4247362[/C][C]8800963.55172414[/C][C]-4553601.55172414[/C][/ROW]
[ROW][C]24[/C][C]23022552[/C][C]9816454.10344828[/C][C]13206097.8965517[/C][/ROW]
[ROW][C]25[/C][C]7646203[/C][C]9228493.5[/C][C]-1582290.5[/C][/ROW]
[ROW][C]26[/C][C]9016602[/C][C]11355114[/C][C]-2338512[/C][/ROW]
[ROW][C]27[/C][C]3606568[/C][C]7984262.46666667[/C][C]-4377694.46666667[/C][/ROW]
[ROW][C]28[/C][C]3173510[/C][C]7307763.73333333[/C][C]-4134253.73333333[/C][/ROW]
[ROW][C]29[/C][C]17568772[/C][C]7628833.34482758[/C][C]9939938.65517242[/C][/ROW]
[ROW][C]30[/C][C]10805045[/C][C]7335733.96551724[/C][C]3469311.03448276[/C][/ROW]
[ROW][C]31[/C][C]31056269[/C][C]9968176.55172414[/C][C]21088092.4482759[/C][/ROW]
[ROW][C]32[/C][C]15623385[/C][C]13072182.862069[/C][C]2551202.13793104[/C][/ROW]
[ROW][C]33[/C][C]6663443[/C][C]11742338.2413793[/C][C]-5078895.24137931[/C][/ROW]
[ROW][C]34[/C][C]35435745[/C][C]10250385.5517241[/C][C]25185359.4482759[/C][/ROW]
[ROW][C]35[/C][C]2823250[/C][C]8800963.55172414[/C][C]-5977713.55172414[/C][/ROW]
[ROW][C]36[/C][C]5197089[/C][C]9816454.10344828[/C][C]-4619365.10344828[/C][/ROW]
[ROW][C]37[/C][C]4120632[/C][C]9228493.5[/C][C]-5107861.5[/C][/ROW]
[ROW][C]38[/C][C]8832767[/C][C]11355114[/C][C]-2522347[/C][/ROW]
[ROW][C]39[/C][C]3695374[/C][C]7984262.46666667[/C][C]-4288888.46666667[/C][/ROW]
[ROW][C]40[/C][C]8385805[/C][C]7307763.73333333[/C][C]1078041.26666667[/C][/ROW]
[ROW][C]41[/C][C]3777904[/C][C]7628833.34482758[/C][C]-3850929.34482759[/C][/ROW]
[ROW][C]42[/C][C]5199532[/C][C]7335733.96551724[/C][C]-2136201.96551724[/C][/ROW]
[ROW][C]43[/C][C]5297275[/C][C]9968176.55172414[/C][C]-4670901.55172414[/C][/ROW]
[ROW][C]44[/C][C]14847382[/C][C]13072182.862069[/C][C]1775199.13793104[/C][/ROW]
[ROW][C]45[/C][C]5900158[/C][C]11742338.2413793[/C][C]-5842180.24137931[/C][/ROW]
[ROW][C]46[/C][C]4416718[/C][C]10250385.5517241[/C][C]-5833667.55172414[/C][/ROW]
[ROW][C]47[/C][C]3926429[/C][C]8800963.55172414[/C][C]-4874534.55172414[/C][/ROW]
[ROW][C]48[/C][C]4876884[/C][C]9816454.10344828[/C][C]-4939570.10344827[/C][/ROW]
[ROW][C]49[/C][C]2795297[/C][C]9228493.5[/C][C]-6433196.5[/C][/ROW]
[ROW][C]50[/C][C]3385527[/C][C]11355114[/C][C]-7969587[/C][/ROW]
[ROW][C]51[/C][C]3877941[/C][C]7984262.46666667[/C][C]-4106321.46666667[/C][/ROW]
[ROW][C]52[/C][C]3556729[/C][C]7307763.73333333[/C][C]-3751034.73333333[/C][/ROW]
[ROW][C]53[/C][C]4982836[/C][C]7628833.34482759[/C][C]-2645997.34482759[/C][/ROW]
[ROW][C]54[/C][C]2976325[/C][C]7335733.96551724[/C][C]-4359408.96551724[/C][/ROW]
[ROW][C]55[/C][C]2295026[/C][C]9968176.55172414[/C][C]-7673150.55172414[/C][/ROW]
[ROW][C]56[/C][C]2218752[/C][C]13072182.862069[/C][C]-10853430.862069[/C][/ROW]
[ROW][C]57[/C][C]4146062[/C][C]11742338.2413793[/C][C]-7596276.24137931[/C][/ROW]
[ROW][C]58[/C][C]3302091[/C][C]10250385.5517241[/C][C]-6948294.55172414[/C][/ROW]
[ROW][C]59[/C][C]3864505[/C][C]8800963.55172414[/C][C]-4936458.55172414[/C][/ROW]
[ROW][C]60[/C][C]5454794[/C][C]9816454.10344828[/C][C]-4361660.10344827[/C][/ROW]
[ROW][C]61[/C][C]1749836[/C][C]9228493.5[/C][C]-7478657.5[/C][/ROW]
[ROW][C]62[/C][C]6684048[/C][C]11355114[/C][C]-4671066[/C][/ROW]
[ROW][C]63[/C][C]2809918[/C][C]7984262.46666667[/C][C]-5174344.46666667[/C][/ROW]
[ROW][C]64[/C][C]4092664[/C][C]7307763.73333333[/C][C]-3215099.73333333[/C][/ROW]
[ROW][C]65[/C][C]5070470[/C][C]7628833.34482759[/C][C]-2558363.34482759[/C][/ROW]
[ROW][C]66[/C][C]9814477[/C][C]7335733.96551724[/C][C]2478743.03448276[/C][/ROW]
[ROW][C]67[/C][C]6665318[/C][C]9968176.55172414[/C][C]-3302858.55172414[/C][/ROW]
[ROW][C]68[/C][C]3912554[/C][C]13072182.862069[/C][C]-9159628.86206896[/C][/ROW]
[ROW][C]69[/C][C]6188129[/C][C]11742338.2413793[/C][C]-5554209.24137931[/C][/ROW]
[ROW][C]70[/C][C]3627991[/C][C]10250385.5517241[/C][C]-6622394.55172414[/C][/ROW]
[ROW][C]71[/C][C]3308767[/C][C]8800963.55172414[/C][C]-5492196.55172414[/C][/ROW]
[ROW][C]72[/C][C]3820332[/C][C]9816454.10344828[/C][C]-5996122.10344828[/C][/ROW]
[ROW][C]73[/C][C]4932979[/C][C]9228493.5[/C][C]-4295514.5[/C][/ROW]
[ROW][C]74[/C][C]5567917[/C][C]11355114[/C][C]-5787197[/C][/ROW]
[ROW][C]75[/C][C]5020814[/C][C]7984262.46666667[/C][C]-2963448.46666667[/C][/ROW]
[ROW][C]76[/C][C]3803273[/C][C]7307763.73333333[/C][C]-3504490.73333333[/C][/ROW]
[ROW][C]77[/C][C]3999984[/C][C]7628833.34482758[/C][C]-3628849.34482759[/C][/ROW]
[ROW][C]78[/C][C]4883104[/C][C]7335733.96551724[/C][C]-2452629.96551724[/C][/ROW]
[ROW][C]79[/C][C]13731747[/C][C]9968176.55172414[/C][C]3763570.44827586[/C][/ROW]
[ROW][C]80[/C][C]47531824[/C][C]13072182.862069[/C][C]34459641.137931[/C][/ROW]
[ROW][C]81[/C][C]8415570[/C][C]11742338.2413793[/C][C]-3326768.24137931[/C][/ROW]
[ROW][C]82[/C][C]22178158[/C][C]10250385.5517241[/C][C]11927772.4482759[/C][/ROW]
[ROW][C]83[/C][C]61211654[/C][C]8800963.55172417[/C][C]52410690.4482758[/C][/ROW]
[ROW][C]84[/C][C]18223748[/C][C]9816454.10344828[/C][C]8407293.89655172[/C][/ROW]
[ROW][C]85[/C][C]17678085[/C][C]9228493.5[/C][C]8449591.5[/C][/ROW]
[ROW][C]86[/C][C]49299580[/C][C]11355114[/C][C]37944466[/C][/ROW]
[ROW][C]87[/C][C]25899948[/C][C]7984262.46666667[/C][C]17915685.5333333[/C][/ROW]
[ROW][C]88[/C][C]34121754[/C][C]7307763.73333333[/C][C]26813990.2666667[/C][/ROW]
[ROW][C]89[/C][C]9859231[/C][C]7628833.34482758[/C][C]2230397.65517242[/C][/ROW]
[ROW][C]90[/C][C]29740892[/C][C]7335733.96551724[/C][C]22405158.0344828[/C][/ROW]
[ROW][C]91[/C][C]21085212[/C][C]9968176.55172414[/C][C]11117035.4482759[/C][/ROW]
[ROW][C]92[/C][C]43003866[/C][C]13072182.862069[/C][C]29931683.137931[/C][/ROW]
[ROW][C]93[/C][C]59549247[/C][C]11742338.2413793[/C][C]47806908.7586207[/C][/ROW]
[ROW][C]94[/C][C]18026465[/C][C]10250385.5517241[/C][C]7776079.44827586[/C][/ROW]
[ROW][C]95[/C][C]4680597[/C][C]8800963.55172414[/C][C]-4120366.55172414[/C][/ROW]
[ROW][C]96[/C][C]5564728[/C][C]9816454.10344828[/C][C]-4251726.10344827[/C][/ROW]
[ROW][C]97[/C][C]11792347[/C][C]9228493.5[/C][C]2563853.5[/C][/ROW]
[ROW][C]98[/C][C]10371624[/C][C]11355114[/C][C]-983490[/C][/ROW]
[ROW][C]99[/C][C]3728446[/C][C]7984262.46666667[/C][C]-4255816.46666667[/C][/ROW]
[ROW][C]100[/C][C]5732978[/C][C]7307763.73333333[/C][C]-1574785.73333333[/C][/ROW]
[ROW][C]101[/C][C]4067638[/C][C]7628833.34482758[/C][C]-3561195.34482759[/C][/ROW]
[ROW][C]102[/C][C]2395508[/C][C]7335733.96551724[/C][C]-4940225.96551724[/C][/ROW]
[ROW][C]103[/C][C]5018801[/C][C]9968176.55172414[/C][C]-4949375.55172414[/C][/ROW]
[ROW][C]104[/C][C]22068888[/C][C]13072182.862069[/C][C]8996705.13793104[/C][/ROW]
[ROW][C]105[/C][C]7678580[/C][C]11742338.2413793[/C][C]-4063758.24137931[/C][/ROW]
[ROW][C]106[/C][C]15510095[/C][C]10250385.5517241[/C][C]5259709.44827586[/C][/ROW]
[ROW][C]107[/C][C]6471239[/C][C]8800963.55172414[/C][C]-2329724.55172414[/C][/ROW]
[ROW][C]108[/C][C]14349204[/C][C]9816454.10344828[/C][C]4532749.89655172[/C][/ROW]
[ROW][C]109[/C][C]35151574[/C][C]9228493.49999999[/C][C]25923080.5[/C][/ROW]
[ROW][C]110[/C][C]8210488[/C][C]11355114[/C][C]-3144626[/C][/ROW]
[ROW][C]111[/C][C]5022664[/C][C]7984262.46666667[/C][C]-2961598.46666667[/C][/ROW]
[ROW][C]112[/C][C]13996871[/C][C]7307763.73333333[/C][C]6689107.26666667[/C][/ROW]
[ROW][C]113[/C][C]12822431[/C][C]7628833.34482759[/C][C]5193597.65517241[/C][/ROW]
[ROW][C]114[/C][C]14011552[/C][C]7335733.96551724[/C][C]6675818.03448276[/C][/ROW]
[ROW][C]115[/C][C]20260980[/C][C]9968176.55172414[/C][C]10292803.4482759[/C][/ROW]
[ROW][C]116[/C][C]23718976[/C][C]13072182.862069[/C][C]10646793.137931[/C][/ROW]
[ROW][C]117[/C][C]45833049[/C][C]11742338.2413793[/C][C]34090710.7586207[/C][/ROW]
[ROW][C]118[/C][C]30688420[/C][C]10250385.5517241[/C][C]20438034.4482759[/C][/ROW]
[ROW][C]119[/C][C]16576062[/C][C]8800963.55172414[/C][C]7775098.44827586[/C][/ROW]
[ROW][C]120[/C][C]14844405[/C][C]9816454.10344828[/C][C]5027950.89655172[/C][/ROW]
[ROW][C]121[/C][C]16728286[/C][C]9228493.5[/C][C]7499792.5[/C][/ROW]
[ROW][C]122[/C][C]43477680[/C][C]11355114[/C][C]32122566[/C][/ROW]
[ROW][C]123[/C][C]57497427[/C][C]7984262.46666667[/C][C]49513164.5333333[/C][/ROW]
[ROW][C]124[/C][C]24233726[/C][C]7307763.73333333[/C][C]16925962.2666667[/C][/ROW]
[ROW][C]125[/C][C]24921208[/C][C]7628833.3448276[/C][C]17292374.6551724[/C][/ROW]
[ROW][C]126[/C][C]9516725[/C][C]7335733.96551724[/C][C]2180991.03448276[/C][/ROW]
[ROW][C]127[/C][C]27977239[/C][C]9968176.55172414[/C][C]18009062.4482759[/C][/ROW]
[ROW][C]128[/C][C]21632046[/C][C]13072182.862069[/C][C]8559863.13793104[/C][/ROW]
[ROW][C]129[/C][C]22956809[/C][C]11742338.2413793[/C][C]11214470.7586207[/C][/ROW]
[ROW][C]130[/C][C]9704324[/C][C]10250385.5517241[/C][C]-546061.551724138[/C][/ROW]
[ROW][C]131[/C][C]19871149[/C][C]8800963.55172414[/C][C]11070185.4482759[/C][/ROW]
[ROW][C]132[/C][C]5553842[/C][C]9816454.10344828[/C][C]-4262612.10344827[/C][/ROW]
[ROW][C]133[/C][C]5667858[/C][C]9228493.5[/C][C]-3560635.5[/C][/ROW]
[ROW][C]134[/C][C]4348188[/C][C]11355114[/C][C]-7006926[/C][/ROW]
[ROW][C]135[/C][C]10025042[/C][C]7984262.46666667[/C][C]2040779.53333333[/C][/ROW]
[ROW][C]136[/C][C]10639796[/C][C]7307763.73333333[/C][C]3332032.26666667[/C][/ROW]
[ROW][C]137[/C][C]8639184[/C][C]7628833.34482759[/C][C]1010350.65517241[/C][/ROW]
[ROW][C]138[/C][C]10764378[/C][C]7335733.96551724[/C][C]3428644.03448276[/C][/ROW]
[ROW][C]139[/C][C]12097733[/C][C]9968176.55172414[/C][C]2129556.44827586[/C][/ROW]
[ROW][C]140[/C][C]3988414[/C][C]13072182.862069[/C][C]-9083768.86206896[/C][/ROW]
[ROW][C]141[/C][C]4607102[/C][C]11742338.2413793[/C][C]-7135236.24137931[/C][/ROW]
[ROW][C]142[/C][C]7126895[/C][C]10250385.5517241[/C][C]-3123490.55172414[/C][/ROW]
[ROW][C]143[/C][C]6009625[/C][C]8800963.55172414[/C][C]-2791338.55172414[/C][/ROW]
[ROW][C]144[/C][C]21533237[/C][C]9816454.10344828[/C][C]11716782.8965517[/C][/ROW]
[ROW][C]145[/C][C]5986771[/C][C]9228493.5[/C][C]-3241722.5[/C][/ROW]
[ROW][C]146[/C][C]5455310[/C][C]11355114[/C][C]-5899804[/C][/ROW]
[ROW][C]147[/C][C]1822874[/C][C]7984262.46666667[/C][C]-6161388.46666667[/C][/ROW]
[ROW][C]148[/C][C]3374062[/C][C]7307763.73333333[/C][C]-3933701.73333333[/C][/ROW]
[ROW][C]149[/C][C]2920748[/C][C]7628833.34482758[/C][C]-4708085.34482758[/C][/ROW]
[ROW][C]150[/C][C]2295942[/C][C]7335733.96551724[/C][C]-5039791.96551724[/C][/ROW]
[ROW][C]151[/C][C]6809829[/C][C]9968176.55172414[/C][C]-3158347.55172414[/C][/ROW]
[ROW][C]152[/C][C]3318281[/C][C]13072182.862069[/C][C]-9753901.86206896[/C][/ROW]
[ROW][C]153[/C][C]13784645[/C][C]11742338.2413793[/C][C]2042306.75862069[/C][/ROW]
[ROW][C]154[/C][C]7366577[/C][C]10250385.5517241[/C][C]-2883808.55172414[/C][/ROW]
[ROW][C]155[/C][C]1628637[/C][C]8800963.55172414[/C][C]-7172326.55172414[/C][/ROW]
[ROW][C]156[/C][C]4258976[/C][C]9816454.10344828[/C][C]-5557478.10344828[/C][/ROW]
[ROW][C]157[/C][C]7159779[/C][C]9228493.5[/C][C]-2068714.5[/C][/ROW]
[ROW][C]158[/C][C]8098401[/C][C]11355114[/C][C]-3256713[/C][/ROW]
[ROW][C]159[/C][C]6894240[/C][C]7984262.46666667[/C][C]-1090022.46666667[/C][/ROW]
[ROW][C]160[/C][C]3771246[/C][C]7307763.73333333[/C][C]-3536517.73333333[/C][/ROW]
[ROW][C]161[/C][C]3249726[/C][C]7628833.34482759[/C][C]-4379107.34482759[/C][/ROW]
[ROW][C]162[/C][C]3147380[/C][C]7335733.96551724[/C][C]-4188353.96551724[/C][/ROW]
[ROW][C]163[/C][C]4063037[/C][C]9968176.55172414[/C][C]-5905139.55172414[/C][/ROW]
[ROW][C]164[/C][C]9621916[/C][C]13072182.862069[/C][C]-3450266.86206896[/C][/ROW]
[ROW][C]165[/C][C]5890158[/C][C]11742338.2413793[/C][C]-5852180.24137931[/C][/ROW]
[ROW][C]166[/C][C]2142901[/C][C]10250385.5517241[/C][C]-8107484.55172414[/C][/ROW]
[ROW][C]167[/C][C]3145007[/C][C]8800963.55172414[/C][C]-5655956.55172414[/C][/ROW]
[ROW][C]168[/C][C]1562168[/C][C]9816454.10344828[/C][C]-8254286.10344828[/C][/ROW]
[ROW][C]169[/C][C]3303103[/C][C]9228493.5[/C][C]-5925390.5[/C][/ROW]
[ROW][C]170[/C][C]5886910[/C][C]11355114[/C][C]-5468204[/C][/ROW]
[ROW][C]171[/C][C]3454270[/C][C]7984262.46666667[/C][C]-4529992.46666667[/C][/ROW]
[ROW][C]172[/C][C]6995348[/C][C]7307763.73333333[/C][C]-312415.733333333[/C][/ROW]
[ROW][C]173[/C][C]6487869[/C][C]7628833.34482759[/C][C]-1140964.34482759[/C][/ROW]
[ROW][C]174[/C][C]12091976[/C][C]7335733.96551724[/C][C]4756242.03448276[/C][/ROW]
[ROW][C]175[/C][C]3934625[/C][C]9968176.55172414[/C][C]-6033551.55172414[/C][/ROW]
[ROW][C]176[/C][C]3999749[/C][C]13072182.862069[/C][C]-9072433.86206896[/C][/ROW]
[ROW][C]177[/C][C]3613526[/C][C]11742338.2413793[/C][C]-8128812.24137931[/C][/ROW]
[ROW][C]178[/C][C]4271706[/C][C]10250385.5517241[/C][C]-5978679.55172414[/C][/ROW]
[ROW][C]179[/C][C]4253390[/C][C]8800963.55172414[/C][C]-4547573.55172414[/C][/ROW]
[ROW][C]180[/C][C]5551591[/C][C]9816454.10344828[/C][C]-4264863.10344827[/C][/ROW]
[ROW][C]181[/C][C]4663041[/C][C]9228493.5[/C][C]-4565452.5[/C][/ROW]
[ROW][C]182[/C][C]2104104[/C][C]11355114[/C][C]-9251010[/C][/ROW]
[ROW][C]183[/C][C]5385399[/C][C]7984262.46666667[/C][C]-2598863.46666667[/C][/ROW]
[ROW][C]184[/C][C]6205877[/C][C]7307763.73333333[/C][C]-1101886.73333333[/C][/ROW]
[ROW][C]185[/C][C]7529500[/C][C]7628833.34482759[/C][C]-99333.3448275863[/C][/ROW]
[ROW][C]186[/C][C]17222705[/C][C]7335733.96551724[/C][C]9886971.03448276[/C][/ROW]
[ROW][C]187[/C][C]6230913[/C][C]9968176.55172414[/C][C]-3737263.55172414[/C][/ROW]
[ROW][C]188[/C][C]6508275[/C][C]13072182.862069[/C][C]-6563907.86206896[/C][/ROW]
[ROW][C]189[/C][C]4518884[/C][C]11742338.2413793[/C][C]-7223454.24137931[/C][/ROW]
[ROW][C]190[/C][C]4234991[/C][C]10250385.5517241[/C][C]-6015394.55172414[/C][/ROW]
[ROW][C]191[/C][C]5625388[/C][C]8800963.55172414[/C][C]-3175575.55172414[/C][/ROW]
[ROW][C]192[/C][C]5810139[/C][C]9816454.10344828[/C][C]-4006315.10344828[/C][/ROW]
[ROW][C]193[/C][C]6942187[/C][C]9228493.5[/C][C]-2286306.5[/C][/ROW]
[ROW][C]194[/C][C]3711188[/C][C]11355114[/C][C]-7643926[/C][/ROW]
[ROW][C]195[/C][C]4261281[/C][C]7984262.46666667[/C][C]-3722981.46666667[/C][/ROW]
[ROW][C]196[/C][C]1989945[/C][C]7307763.73333333[/C][C]-5317818.73333333[/C][/ROW]
[ROW][C]197[/C][C]5033342[/C][C]7628833.34482759[/C][C]-2595491.34482759[/C][/ROW]
[ROW][C]198[/C][C]7239565[/C][C]7335733.96551724[/C][C]-96168.9655172414[/C][/ROW]
[ROW][C]199[/C][C]11058795[/C][C]9968176.55172414[/C][C]1090618.44827586[/C][/ROW]
[ROW][C]200[/C][C]7384772[/C][C]13072182.862069[/C][C]-5687410.86206896[/C][/ROW]
[ROW][C]201[/C][C]3884771[/C][C]11742338.2413793[/C][C]-7857567.24137931[/C][/ROW]
[ROW][C]202[/C][C]3239201[/C][C]10250385.5517241[/C][C]-7011184.55172414[/C][/ROW]
[ROW][C]203[/C][C]2316403[/C][C]8800963.55172414[/C][C]-6484560.55172414[/C][/ROW]
[ROW][C]204[/C][C]4034947[/C][C]9816454.10344828[/C][C]-5781507.10344828[/C][/ROW]
[ROW][C]205[/C][C]3245271[/C][C]9228493.5[/C][C]-5983222.5[/C][/ROW]
[ROW][C]206[/C][C]2387251[/C][C]11355114[/C][C]-8967863[/C][/ROW]
[ROW][C]207[/C][C]2174886[/C][C]7984262.46666667[/C][C]-5809376.46666667[/C][/ROW]
[ROW][C]208[/C][C]3436080[/C][C]7307763.73333333[/C][C]-3871683.73333333[/C][/ROW]
[ROW][C]209[/C][C]3738956[/C][C]7628833.34482758[/C][C]-3889877.34482759[/C][/ROW]
[ROW][C]210[/C][C]1884730[/C][C]7335733.96551724[/C][C]-5451003.96551724[/C][/ROW]
[ROW][C]211[/C][C]1509144[/C][C]9968176.55172414[/C][C]-8459032.55172414[/C][/ROW]
[ROW][C]212[/C][C]42728366[/C][C]13072182.862069[/C][C]29656183.137931[/C][/ROW]
[ROW][C]213[/C][C]3446317[/C][C]11742338.2413793[/C][C]-8296021.24137931[/C][/ROW]
[ROW][C]214[/C][C]4600683[/C][C]10250385.5517241[/C][C]-5649702.55172414[/C][/ROW]
[ROW][C]215[/C][C]2953615[/C][C]8800963.55172414[/C][C]-5847348.55172414[/C][/ROW]
[ROW][C]216[/C][C]3570060[/C][C]9816454.10344828[/C][C]-6246394.10344828[/C][/ROW]
[ROW][C]217[/C][C]2130208[/C][C]9228493.5[/C][C]-7098285.5[/C][/ROW]
[ROW][C]218[/C][C]2442943[/C][C]11355114[/C][C]-8912171[/C][/ROW]
[ROW][C]219[/C][C]4892020[/C][C]7984262.46666667[/C][C]-3092242.46666667[/C][/ROW]
[ROW][C]220[/C][C]3222192[/C][C]7307763.73333333[/C][C]-4085571.73333333[/C][/ROW]
[ROW][C]221[/C][C]3121617[/C][C]7628833.34482759[/C][C]-4507216.34482759[/C][/ROW]
[ROW][C]222[/C][C]3665542[/C][C]7335733.96551724[/C][C]-3670191.96551724[/C][/ROW]
[ROW][C]223[/C][C]5519432[/C][C]9968176.55172414[/C][C]-4448744.55172414[/C][/ROW]
[ROW][C]224[/C][C]4113468[/C][C]13072182.862069[/C][C]-8958714.86206896[/C][/ROW]
[ROW][C]225[/C][C]1714614[/C][C]11742338.2413793[/C][C]-10027724.2413793[/C][/ROW]
[ROW][C]226[/C][C]3651985[/C][C]10250385.5517241[/C][C]-6598400.55172414[/C][/ROW]
[ROW][C]227[/C][C]2419548[/C][C]8800963.55172414[/C][C]-6381415.55172414[/C][/ROW]
[ROW][C]228[/C][C]2378854[/C][C]9816454.10344828[/C][C]-7437600.10344828[/C][/ROW]
[ROW][C]229[/C][C]2303949[/C][C]9228493.5[/C][C]-6924544.5[/C][/ROW]
[ROW][C]230[/C][C]2555534[/C][C]11355114[/C][C]-8799580[/C][/ROW]
[ROW][C]231[/C][C]1713005[/C][C]7984262.46666667[/C][C]-6271257.46666667[/C][/ROW]
[ROW][C]232[/C][C]1705960[/C][C]7307763.73333333[/C][C]-5601803.73333333[/C][/ROW]
[ROW][C]233[/C][C]6115046[/C][C]7628833.34482759[/C][C]-1513787.34482759[/C][/ROW]
[ROW][C]234[/C][C]3951044[/C][C]7335733.96551724[/C][C]-3384689.96551724[/C][/ROW]
[ROW][C]235[/C][C]3785568[/C][C]9968176.55172414[/C][C]-6182608.55172414[/C][/ROW]
[ROW][C]236[/C][C]4670530[/C][C]13072182.862069[/C][C]-8401652.86206896[/C][/ROW]
[ROW][C]237[/C][C]2265100[/C][C]11742338.2413793[/C][C]-9477238.24137931[/C][/ROW]
[ROW][C]238[/C][C]1105643[/C][C]10250385.5517241[/C][C]-9144742.55172414[/C][/ROW]
[ROW][C]239[/C][C]2814152[/C][C]8800963.55172414[/C][C]-5986811.55172414[/C][/ROW]
[ROW][C]240[/C][C]3728673[/C][C]9816454.10344828[/C][C]-6087781.10344828[/C][/ROW]
[ROW][C]241[/C][C]2038949[/C][C]9228493.5[/C][C]-7189544.5[/C][/ROW]
[ROW][C]242[/C][C]2402919[/C][C]11355114[/C][C]-8952195[/C][/ROW]
[ROW][C]243[/C][C]2348814[/C][C]7984262.46666667[/C][C]-5635448.46666667[/C][/ROW]
[ROW][C]244[/C][C]2797822[/C][C]7307763.73333334[/C][C]-4509941.73333334[/C][/ROW]
[ROW][C]245[/C][C]902505[/C][C]7628833.34482759[/C][C]-6726328.34482759[/C][/ROW]
[ROW][C]246[/C][C]1331319[/C][C]7335733.96551724[/C][C]-6004414.96551724[/C][/ROW]
[ROW][C]247[/C][C]4204238[/C][C]9968176.55172414[/C][C]-5763938.55172414[/C][/ROW]
[ROW][C]248[/C][C]2212485[/C][C]13072182.862069[/C][C]-10859697.862069[/C][/ROW]
[ROW][C]249[/C][C]6797382[/C][C]11742338.2413793[/C][C]-4944956.24137931[/C][/ROW]
[ROW][C]250[/C][C]4532324[/C][C]10250385.5517241[/C][C]-5718061.55172414[/C][/ROW]
[ROW][C]251[/C][C]1778808[/C][C]8800963.55172414[/C][C]-7022155.55172414[/C][/ROW]
[ROW][C]252[/C][C]1890720[/C][C]9816454.10344828[/C][C]-7925734.10344828[/C][/ROW]
[ROW][C]253[/C][C]5463736[/C][C]9228493.5[/C][C]-3764757.5[/C][/ROW]
[ROW][C]254[/C][C]11368931[/C][C]11355114[/C][C]13816.9999999998[/C][/ROW]
[ROW][C]255[/C][C]2040164[/C][C]7984262.46666667[/C][C]-5944098.46666667[/C][/ROW]
[ROW][C]256[/C][C]4276399[/C][C]7307763.73333333[/C][C]-3031364.73333333[/C][/ROW]
[ROW][C]257[/C][C]3714445[/C][C]7628833.34482758[/C][C]-3914388.34482759[/C][/ROW]
[ROW][C]258[/C][C]2068168[/C][C]7335733.96551724[/C][C]-5267565.96551724[/C][/ROW]
[ROW][C]259[/C][C]1003842[/C][C]9968176.55172414[/C][C]-8964334.55172414[/C][/ROW]
[ROW][C]260[/C][C]2858535[/C][C]13072182.862069[/C][C]-10213647.862069[/C][/ROW]
[ROW][C]261[/C][C]2355484[/C][C]11742338.2413793[/C][C]-9386854.24137931[/C][/ROW]
[ROW][C]262[/C][C]2719262[/C][C]10250385.5517241[/C][C]-7531123.55172414[/C][/ROW]
[ROW][C]263[/C][C]1897741[/C][C]8800963.55172414[/C][C]-6903222.55172414[/C][/ROW]
[ROW][C]264[/C][C]3945185[/C][C]9816454.10344828[/C][C]-5871269.10344828[/C][/ROW]
[ROW][C]265[/C][C]3799916[/C][C]9228493.5[/C][C]-5428577.5[/C][/ROW]
[ROW][C]266[/C][C]1017654[/C][C]11355114[/C][C]-10337460[/C][/ROW]
[ROW][C]267[/C][C]3052241[/C][C]7984262.46666667[/C][C]-4932021.46666667[/C][/ROW]
[ROW][C]268[/C][C]3932970[/C][C]7307763.73333333[/C][C]-3374793.73333333[/C][/ROW]
[ROW][C]269[/C][C]3598151[/C][C]7628833.34482758[/C][C]-4030682.34482759[/C][/ROW]
[ROW][C]270[/C][C]2296005[/C][C]7335733.96551724[/C][C]-5039728.96551724[/C][/ROW]
[ROW][C]271[/C][C]2202018[/C][C]9968176.55172414[/C][C]-7766158.55172414[/C][/ROW]
[ROW][C]272[/C][C]2461777[/C][C]13072182.862069[/C][C]-10610405.862069[/C][/ROW]
[ROW][C]273[/C][C]2452042[/C][C]11742338.2413793[/C][C]-9290296.24137931[/C][/ROW]
[ROW][C]274[/C][C]2185142[/C][C]10250385.5517241[/C][C]-8065243.55172414[/C][/ROW]
[ROW][C]275[/C][C]11968502[/C][C]8800963.55172414[/C][C]3167538.44827586[/C][/ROW]
[ROW][C]276[/C][C]20395972[/C][C]9816454.10344828[/C][C]10579517.8965517[/C][/ROW]
[ROW][C]277[/C][C]21756900[/C][C]9228493.5[/C][C]12528406.5[/C][/ROW]
[ROW][C]278[/C][C]30024300[/C][C]11355114[/C][C]18669186[/C][/ROW]
[ROW][C]279[/C][C]10811344[/C][C]7984262.46666667[/C][C]2827081.53333333[/C][/ROW]
[ROW][C]280[/C][C]1819202[/C][C]7307763.73333333[/C][C]-5488561.73333333[/C][/ROW]
[ROW][C]281[/C][C]1276885[/C][C]7628833.34482759[/C][C]-6351948.34482759[/C][/ROW]
[ROW][C]282[/C][C]2946701[/C][C]7335733.96551724[/C][C]-4389032.96551724[/C][/ROW]
[ROW][C]283[/C][C]3587459[/C][C]9968176.55172414[/C][C]-6380717.55172414[/C][/ROW]
[ROW][C]284[/C][C]2832691[/C][C]13072182.862069[/C][C]-10239491.862069[/C][/ROW]
[ROW][C]285[/C][C]6674805[/C][C]11742338.2413793[/C][C]-5067533.24137931[/C][/ROW]
[ROW][C]286[/C][C]3868362[/C][C]10250385.5517241[/C][C]-6382023.55172414[/C][/ROW]
[ROW][C]287[/C][C]4302909[/C][C]8800963.55172414[/C][C]-4498054.55172414[/C][/ROW]
[ROW][C]288[/C][C]23265229[/C][C]9816454.10344828[/C][C]13448774.8965517[/C][/ROW]
[ROW][C]289[/C][C]22348002[/C][C]9228493.5[/C][C]13119508.5[/C][/ROW]
[ROW][C]290[/C][C]11883953[/C][C]11355114[/C][C]528839[/C][/ROW]
[ROW][C]291[/C][C]6634979[/C][C]7984262.46666667[/C][C]-1349283.46666667[/C][/ROW]
[ROW][C]292[/C][C]2935493[/C][C]7307763.73333334[/C][C]-4372270.73333334[/C][/ROW]
[ROW][C]293[/C][C]3425669[/C][C]7628833.34482759[/C][C]-4203164.34482759[/C][/ROW]
[ROW][C]294[/C][C]1171611[/C][C]7335733.96551724[/C][C]-6164122.96551724[/C][/ROW]
[ROW][C]295[/C][C]6875879[/C][C]9968176.55172414[/C][C]-3092297.55172414[/C][/ROW]
[ROW][C]296[/C][C]19451908[/C][C]13072182.862069[/C][C]6379725.13793104[/C][/ROW]
[ROW][C]297[/C][C]13885933[/C][C]11742338.2413793[/C][C]2143594.75862069[/C][/ROW]
[ROW][C]298[/C][C]7643317[/C][C]10250385.5517241[/C][C]-2607068.55172414[/C][/ROW]
[ROW][C]299[/C][C]10797966[/C][C]8800963.55172414[/C][C]1997002.44827586[/C][/ROW]
[ROW][C]300[/C][C]7297445[/C][C]9816454.10344828[/C][C]-2519009.10344828[/C][/ROW]
[ROW][C]301[/C][C]8739736[/C][C]9228493.5[/C][C]-488757.500000001[/C][/ROW]
[ROW][C]302[/C][C]12455537[/C][C]11355114[/C][C]1100423[/C][/ROW]
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[ROW][C]304[/C][C]4215150[/C][C]7307763.73333333[/C][C]-3092613.73333333[/C][/ROW]
[ROW][C]305[/C][C]28652176[/C][C]7628833.34482759[/C][C]21023342.6551724[/C][/ROW]
[ROW][C]306[/C][C]6851172[/C][C]7335733.96551724[/C][C]-484561.965517241[/C][/ROW]
[ROW][C]307[/C][C]3746871[/C][C]9968176.55172414[/C][C]-6221305.55172414[/C][/ROW]
[ROW][C]308[/C][C]7327861[/C][C]13072182.862069[/C][C]-5744321.86206896[/C][/ROW]
[ROW][C]309[/C][C]16829710[/C][C]11742338.2413793[/C][C]5087371.75862069[/C][/ROW]
[ROW][C]310[/C][C]13778594[/C][C]10250385.5517241[/C][C]3528208.44827586[/C][/ROW]
[ROW][C]311[/C][C]6463717[/C][C]8800963.55172414[/C][C]-2337246.55172414[/C][/ROW]
[ROW][C]312[/C][C]8956867[/C][C]9816454.10344828[/C][C]-859587.103448277[/C][/ROW]
[ROW][C]313[/C][C]21204915[/C][C]9228493.5[/C][C]11976421.5[/C][/ROW]
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[ROW][C]317[/C][C]17003730[/C][C]7628833.34482758[/C][C]9374896.65517242[/C][/ROW]
[ROW][C]318[/C][C]15969006[/C][C]7335733.96551724[/C][C]8633272.03448276[/C][/ROW]
[ROW][C]319[/C][C]31020427[/C][C]9968176.55172414[/C][C]21052250.4482759[/C][/ROW]
[ROW][C]320[/C][C]23798897[/C][C]13072182.862069[/C][C]10726714.137931[/C][/ROW]
[ROW][C]321[/C][C]20770321[/C][C]11742338.2413793[/C][C]9027982.75862069[/C][/ROW]
[ROW][C]322[/C][C]44410402[/C][C]10250385.5517242[/C][C]34160016.4482758[/C][/ROW]
[ROW][C]323[/C][C]27037491[/C][C]8800963.55172413[/C][C]18236527.4482759[/C][/ROW]
[ROW][C]324[/C][C]29627771[/C][C]9816454.10344827[/C][C]19811316.8965517[/C][/ROW]
[ROW][C]325[/C][C]18189792[/C][C]9228493.5[/C][C]8961298.5[/C][/ROW]
[ROW][C]326[/C][C]4654610[/C][C]11355114[/C][C]-6700504[/C][/ROW]
[ROW][C]327[/C][C]12307201[/C][C]7984262.46666667[/C][C]4322938.53333333[/C][/ROW]
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[ROW][C]329[/C][C]10623864[/C][C]7628833.34482758[/C][C]2995030.65517242[/C][/ROW]
[ROW][C]330[/C][C]6880178[/C][C]7335733.96551724[/C][C]-455555.965517241[/C][/ROW]
[ROW][C]331[/C][C]29947357[/C][C]9968176.55172414[/C][C]19979180.4482759[/C][/ROW]
[ROW][C]332[/C][C]18611399[/C][C]13072182.862069[/C][C]5539216.13793104[/C][/ROW]
[ROW][C]333[/C][C]42432604[/C][C]11742338.2413793[/C][C]30690265.7586207[/C][/ROW]
[ROW][C]334[/C][C]20208278[/C][C]10250385.5517241[/C][C]9957892.44827586[/C][/ROW]
[ROW][C]335[/C][C]14004392[/C][C]8800963.55172414[/C][C]5203428.44827586[/C][/ROW]
[ROW][C]336[/C][C]25737765[/C][C]9816454.10344827[/C][C]15921310.8965517[/C][/ROW]
[ROW][C]337[/C][C]16735738[/C][C]9228493.5[/C][C]7507244.5[/C][/ROW]
[ROW][C]338[/C][C]22450825[/C][C]11355114[/C][C]11095711[/C][/ROW]
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[ROW][C]340[/C][C]8510379[/C][C]7307763.73333333[/C][C]1202615.26666667[/C][/ROW]
[ROW][C]341[/C][C]8182481[/C][C]7628833.34482759[/C][C]553647.655172413[/C][/ROW]
[ROW][C]342[/C][C]10948683[/C][C]7335733.96551724[/C][C]3612949.03448276[/C][/ROW]
[ROW][C]343[/C][C]4805277[/C][C]9968176.55172414[/C][C]-5162899.55172414[/C][/ROW]
[ROW][C]344[/C][C]2589229[/C][C]13072182.862069[/C][C]-10482953.862069[/C][/ROW]
[ROW][C]345[/C][C]5658407[/C][C]11742338.2413793[/C][C]-6083931.24137931[/C][/ROW]
[ROW][C]346[/C][C]12862611[/C][C]10250385.5517241[/C][C]2612225.44827586[/C][/ROW]
[ROW][C]347[/C][C]5666188[/C][C]8800963.55172414[/C][C]-3134775.55172414[/C][/ROW]
[ROW][C]348[/C][C]6875556[/C][C]9816454.10344828[/C][C]-2940898.10344828[/C][/ROW]
[ROW][C]349[/C][C]7098766[/C][C]9228493.5[/C][C]-2129727.5[/C][/ROW]
[ROW][C]350[/C][C]36083309[/C][C]11355114[/C][C]24728195[/C][/ROW]
[ROW][C]351[/C][C]10200330[/C][C]7984262.46666667[/C][C]2216067.53333333[/C][/ROW]
[ROW][C]352[/C][C]7784976[/C][C]7307763.73333333[/C][C]477212.266666667[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=149922&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=149922&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
114835099228493.49999998-7744984.49999998
2803655411355114-3318560
346230937984262.46666666-3361169.46666666
455286627307763.73333334-1779101.73333334
542210327628833.34482758-3407801.34482758
680618477335733.96551724726113.034482759
776400669968176.55172414-2328110.55172414
8293553313072182.862069-10136649.862069
9816154811742338.2413793-3580790.24137931
10254396710250385.5517241-7706418.55172414
11131634508800963.551724144362486.44827586
1233484369816454.10344828-6468018.10344828
1339974409228493.5-5231053.5
14232291111355114-9032203
1520194577984262.46666667-5964805.46666667
1630477487307763.73333333-4260015.73333333
1757287677628833.34482759-1900066.34482759
1826051737335733.96551724-4730560.96551724
1956467439968176.55172414-4321433.55172414
201312154413072182.86206949361.1379310355
21345340911742338.2413793-8288929.24137931
22187833310250385.5517241-8372052.55172414
2342473628800963.55172414-4553601.55172414
24230225529816454.1034482813206097.8965517
2576462039228493.5-1582290.5
26901660211355114-2338512
2736065687984262.46666667-4377694.46666667
2831735107307763.73333333-4134253.73333333
29175687727628833.344827589939938.65517242
30108050457335733.965517243469311.03448276
31310562699968176.5517241421088092.4482759
321562338513072182.8620692551202.13793104
33666344311742338.2413793-5078895.24137931
343543574510250385.551724125185359.4482759
3528232508800963.55172414-5977713.55172414
3651970899816454.10344828-4619365.10344828
3741206329228493.5-5107861.5
38883276711355114-2522347
3936953747984262.46666667-4288888.46666667
4083858057307763.733333331078041.26666667
4137779047628833.34482758-3850929.34482759
4251995327335733.96551724-2136201.96551724
4352972759968176.55172414-4670901.55172414
441484738213072182.8620691775199.13793104
45590015811742338.2413793-5842180.24137931
46441671810250385.5517241-5833667.55172414
4739264298800963.55172414-4874534.55172414
4848768849816454.10344828-4939570.10344827
4927952979228493.5-6433196.5
50338552711355114-7969587
5138779417984262.46666667-4106321.46666667
5235567297307763.73333333-3751034.73333333
5349828367628833.34482759-2645997.34482759
5429763257335733.96551724-4359408.96551724
5522950269968176.55172414-7673150.55172414
56221875213072182.862069-10853430.862069
57414606211742338.2413793-7596276.24137931
58330209110250385.5517241-6948294.55172414
5938645058800963.55172414-4936458.55172414
6054547949816454.10344828-4361660.10344827
6117498369228493.5-7478657.5
62668404811355114-4671066
6328099187984262.46666667-5174344.46666667
6440926647307763.73333333-3215099.73333333
6550704707628833.34482759-2558363.34482759
6698144777335733.965517242478743.03448276
6766653189968176.55172414-3302858.55172414
68391255413072182.862069-9159628.86206896
69618812911742338.2413793-5554209.24137931
70362799110250385.5517241-6622394.55172414
7133087678800963.55172414-5492196.55172414
7238203329816454.10344828-5996122.10344828
7349329799228493.5-4295514.5
74556791711355114-5787197
7550208147984262.46666667-2963448.46666667
7638032737307763.73333333-3504490.73333333
7739999847628833.34482758-3628849.34482759
7848831047335733.96551724-2452629.96551724
79137317479968176.551724143763570.44827586
804753182413072182.86206934459641.137931
81841557011742338.2413793-3326768.24137931
822217815810250385.551724111927772.4482759
83612116548800963.5517241752410690.4482758
84182237489816454.103448288407293.89655172
85176780859228493.58449591.5
86492995801135511437944466
87258999487984262.4666666717915685.5333333
88341217547307763.7333333326813990.2666667
8998592317628833.344827582230397.65517242
90297408927335733.9655172422405158.0344828
91210852129968176.5517241411117035.4482759
924300386613072182.86206929931683.137931
935954924711742338.241379347806908.7586207
941802646510250385.55172417776079.44827586
9546805978800963.55172414-4120366.55172414
9655647289816454.10344828-4251726.10344827
97117923479228493.52563853.5
981037162411355114-983490
9937284467984262.46666667-4255816.46666667
10057329787307763.73333333-1574785.73333333
10140676387628833.34482758-3561195.34482759
10223955087335733.96551724-4940225.96551724
10350188019968176.55172414-4949375.55172414
1042206888813072182.8620698996705.13793104
105767858011742338.2413793-4063758.24137931
1061551009510250385.55172415259709.44827586
10764712398800963.55172414-2329724.55172414
108143492049816454.103448284532749.89655172
109351515749228493.4999999925923080.5
110821048811355114-3144626
11150226647984262.46666667-2961598.46666667
112139968717307763.733333336689107.26666667
113128224317628833.344827595193597.65517241
114140115527335733.965517246675818.03448276
115202609809968176.5517241410292803.4482759
1162371897613072182.86206910646793.137931
1174583304911742338.241379334090710.7586207
1183068842010250385.551724120438034.4482759
119165760628800963.551724147775098.44827586
120148444059816454.103448285027950.89655172
121167282869228493.57499792.5
122434776801135511432122566
123574974277984262.4666666749513164.5333333
124242337267307763.7333333316925962.2666667
125249212087628833.344827617292374.6551724
12695167257335733.965517242180991.03448276
127279772399968176.5517241418009062.4482759
1282163204613072182.8620698559863.13793104
1292295680911742338.241379311214470.7586207
130970432410250385.5517241-546061.551724138
131198711498800963.5517241411070185.4482759
13255538429816454.10344828-4262612.10344827
13356678589228493.5-3560635.5
134434818811355114-7006926
135100250427984262.466666672040779.53333333
136106397967307763.733333333332032.26666667
13786391847628833.344827591010350.65517241
138107643787335733.965517243428644.03448276
139120977339968176.551724142129556.44827586
140398841413072182.862069-9083768.86206896
141460710211742338.2413793-7135236.24137931
142712689510250385.5517241-3123490.55172414
14360096258800963.55172414-2791338.55172414
144215332379816454.1034482811716782.8965517
14559867719228493.5-3241722.5
146545531011355114-5899804
14718228747984262.46666667-6161388.46666667
14833740627307763.73333333-3933701.73333333
14929207487628833.34482758-4708085.34482758
15022959427335733.96551724-5039791.96551724
15168098299968176.55172414-3158347.55172414
152331828113072182.862069-9753901.86206896
1531378464511742338.24137932042306.75862069
154736657710250385.5517241-2883808.55172414
15516286378800963.55172414-7172326.55172414
15642589769816454.10344828-5557478.10344828
15771597799228493.5-2068714.5
158809840111355114-3256713
15968942407984262.46666667-1090022.46666667
16037712467307763.73333333-3536517.73333333
16132497267628833.34482759-4379107.34482759
16231473807335733.96551724-4188353.96551724
16340630379968176.55172414-5905139.55172414
164962191613072182.862069-3450266.86206896
165589015811742338.2413793-5852180.24137931
166214290110250385.5517241-8107484.55172414
16731450078800963.55172414-5655956.55172414
16815621689816454.10344828-8254286.10344828
16933031039228493.5-5925390.5
170588691011355114-5468204
17134542707984262.46666667-4529992.46666667
17269953487307763.73333333-312415.733333333
17364878697628833.34482759-1140964.34482759
174120919767335733.965517244756242.03448276
17539346259968176.55172414-6033551.55172414
176399974913072182.862069-9072433.86206896
177361352611742338.2413793-8128812.24137931
178427170610250385.5517241-5978679.55172414
17942533908800963.55172414-4547573.55172414
18055515919816454.10344828-4264863.10344827
18146630419228493.5-4565452.5
182210410411355114-9251010
18353853997984262.46666667-2598863.46666667
18462058777307763.73333333-1101886.73333333
18575295007628833.34482759-99333.3448275863
186172227057335733.965517249886971.03448276
18762309139968176.55172414-3737263.55172414
188650827513072182.862069-6563907.86206896
189451888411742338.2413793-7223454.24137931
190423499110250385.5517241-6015394.55172414
19156253888800963.55172414-3175575.55172414
19258101399816454.10344828-4006315.10344828
19369421879228493.5-2286306.5
194371118811355114-7643926
19542612817984262.46666667-3722981.46666667
19619899457307763.73333333-5317818.73333333
19750333427628833.34482759-2595491.34482759
19872395657335733.96551724-96168.9655172414
199110587959968176.551724141090618.44827586
200738477213072182.862069-5687410.86206896
201388477111742338.2413793-7857567.24137931
202323920110250385.5517241-7011184.55172414
20323164038800963.55172414-6484560.55172414
20440349479816454.10344828-5781507.10344828
20532452719228493.5-5983222.5
206238725111355114-8967863
20721748867984262.46666667-5809376.46666667
20834360807307763.73333333-3871683.73333333
20937389567628833.34482758-3889877.34482759
21018847307335733.96551724-5451003.96551724
21115091449968176.55172414-8459032.55172414
2124272836613072182.86206929656183.137931
213344631711742338.2413793-8296021.24137931
214460068310250385.5517241-5649702.55172414
21529536158800963.55172414-5847348.55172414
21635700609816454.10344828-6246394.10344828
21721302089228493.5-7098285.5
218244294311355114-8912171
21948920207984262.46666667-3092242.46666667
22032221927307763.73333333-4085571.73333333
22131216177628833.34482759-4507216.34482759
22236655427335733.96551724-3670191.96551724
22355194329968176.55172414-4448744.55172414
224411346813072182.862069-8958714.86206896
225171461411742338.2413793-10027724.2413793
226365198510250385.5517241-6598400.55172414
22724195488800963.55172414-6381415.55172414
22823788549816454.10344828-7437600.10344828
22923039499228493.5-6924544.5
230255553411355114-8799580
23117130057984262.46666667-6271257.46666667
23217059607307763.73333333-5601803.73333333
23361150467628833.34482759-1513787.34482759
23439510447335733.96551724-3384689.96551724
23537855689968176.55172414-6182608.55172414
236467053013072182.862069-8401652.86206896
237226510011742338.2413793-9477238.24137931
238110564310250385.5517241-9144742.55172414
23928141528800963.55172414-5986811.55172414
24037286739816454.10344828-6087781.10344828
24120389499228493.5-7189544.5
242240291911355114-8952195
24323488147984262.46666667-5635448.46666667
24427978227307763.73333334-4509941.73333334
2459025057628833.34482759-6726328.34482759
24613313197335733.96551724-6004414.96551724
24742042389968176.55172414-5763938.55172414
248221248513072182.862069-10859697.862069
249679738211742338.2413793-4944956.24137931
250453232410250385.5517241-5718061.55172414
25117788088800963.55172414-7022155.55172414
25218907209816454.10344828-7925734.10344828
25354637369228493.5-3764757.5
254113689311135511413816.9999999998
25520401647984262.46666667-5944098.46666667
25642763997307763.73333333-3031364.73333333
25737144457628833.34482758-3914388.34482759
25820681687335733.96551724-5267565.96551724
25910038429968176.55172414-8964334.55172414
260285853513072182.862069-10213647.862069
261235548411742338.2413793-9386854.24137931
262271926210250385.5517241-7531123.55172414
26318977418800963.55172414-6903222.55172414
26439451859816454.10344828-5871269.10344828
26537999169228493.5-5428577.5
266101765411355114-10337460
26730522417984262.46666667-4932021.46666667
26839329707307763.73333333-3374793.73333333
26935981517628833.34482758-4030682.34482759
27022960057335733.96551724-5039728.96551724
27122020189968176.55172414-7766158.55172414
272246177713072182.862069-10610405.862069
273245204211742338.2413793-9290296.24137931
274218514210250385.5517241-8065243.55172414
275119685028800963.551724143167538.44827586
276203959729816454.1034482810579517.8965517
277217569009228493.512528406.5
278300243001135511418669186
279108113447984262.466666672827081.53333333
28018192027307763.73333333-5488561.73333333
28112768857628833.34482759-6351948.34482759
28229467017335733.96551724-4389032.96551724
28335874599968176.55172414-6380717.55172414
284283269113072182.862069-10239491.862069
285667480511742338.2413793-5067533.24137931
286386836210250385.5517241-6382023.55172414
28743029098800963.55172414-4498054.55172414
288232652299816454.1034482813448774.8965517
289223480029228493.513119508.5
2901188395311355114528839
29166349797984262.46666667-1349283.46666667
29229354937307763.73333334-4372270.73333334
29334256697628833.34482759-4203164.34482759
29411716117335733.96551724-6164122.96551724
29568758799968176.55172414-3092297.55172414
2961945190813072182.8620696379725.13793104
2971388593311742338.24137932143594.75862069
298764331710250385.5517241-2607068.55172414
299107979668800963.551724141997002.44827586
30072974459816454.10344828-2519009.10344828
30187397369228493.5-488757.500000001
30212455537113551141100423
303242911817984262.4666666716306918.5333333
30442151507307763.73333333-3092613.73333333
305286521767628833.3448275921023342.6551724
30668511727335733.96551724-484561.965517241
30737468719968176.55172414-6221305.55172414
308732786113072182.862069-5744321.86206896
3091682971011742338.24137935087371.75862069
3101377859410250385.55172413528208.44827586
31164637178800963.55172414-2337246.55172414
31289568679816454.10344828-859587.103448277
313212049159228493.511976421.5
31416115855113551144760741
31525361137984262.46666667-5448149.46666667
316166457177307763.733333339337953.26666667
317170037307628833.344827589374896.65517242
318159690067335733.965517248633272.03448276
319310204279968176.5517241421052250.4482759
3202379889713072182.86206910726714.137931
3212077032111742338.24137939027982.75862069
3224441040210250385.551724234160016.4482758
323270374918800963.5517241318236527.4482759
324296277719816454.1034482719811316.8965517
325181897929228493.58961298.5
326465461011355114-6700504
327123072017984262.466666674322938.53333333
328153005787307763.733333337992814.26666667
329106238647628833.344827582995030.65517242
33068801787335733.96551724-455555.965517241
331299473579968176.5517241419979180.4482759
3321861139913072182.8620695539216.13793104
3334243260411742338.241379330690265.7586207
3342020827810250385.55172419957892.44827586
335140043928800963.551724145203428.44827586
336257377659816454.1034482715921310.8965517
337167357389228493.57507244.5
338224508251135511411095711
33968808407984262.46666667-1103422.46666667
34085103797307763.733333331202615.26666667
34181824817628833.34482759553647.655172413
342109486837335733.965517243612949.03448276
34348052779968176.55172414-5162899.55172414
344258922913072182.862069-10482953.862069
345565840711742338.2413793-6083931.24137931
3461286261110250385.55172412612225.44827586
34756661888800963.55172414-3134775.55172414
34868755569816454.10344828-2940898.10344828
34970987669228493.5-2129727.5
350360833091135511424728195
351102003307984262.466666672216067.53333333
35277849767307763.73333333477212.266666667







Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
150.02382921854588160.04765843709176320.976170781454118
160.006466569898946720.01293313979789340.993533430101053
170.00147074078890430.002941481577808590.998529259211096
180.001004336619281480.002008673238562960.998995663380719
190.0002619061085473320.0005238122170946650.999738093891453
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3110.2620486655875350.5240973311750710.737951334412465
3120.2558577481819070.5117154963638140.744142251818093
3130.2324819190051050.464963838010210.767518080994895
3140.1987122480596310.3974244961192630.801287751940369
3150.1735329286966480.3470658573932960.826467071303352
3160.1488785211072460.2977570422144920.851121478892754
3170.1286171764862690.2572343529725380.871382823513731
3180.1084473197704790.2168946395409570.891552680229521
3190.1173894466636530.2347788933273070.882610553336347
3200.1162593182691590.2325186365383190.883740681730841
3210.09128461987768140.1825692397553630.908715380122319
3220.2360244566613330.4720489133226650.763975543338667
3230.2784770870032560.5569541740065130.721522912996744
3240.2885511446973190.5771022893946390.711448855302681
3250.2437375510290650.487475102058130.756262448970935
3260.3998121638829730.7996243277659450.600187836117027
3270.3319669734599790.6639339469199580.668033026540021
3280.2822462189317520.5644924378635040.717753781068248
3290.2175503823671530.4351007647343070.782449617632847
3300.1626604375852030.3253208751704060.837339562414797
3310.2636030015595690.5272060031191380.736396998440431
3320.2650945095303340.5301890190606680.734905490469666
3330.8281102034638870.3437795930722250.171889796536113
3340.7686477538128070.4627044923743860.231352246187193
3350.7007561782517230.5984876434965540.299243821748277
3360.854353381073930.291293237852140.14564661892607
3370.8223926791062350.3552146417875310.177607320893765

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
15 & 0.0238292185458816 & 0.0476584370917632 & 0.976170781454118 \tabularnewline
16 & 0.00646656989894672 & 0.0129331397978934 & 0.993533430101053 \tabularnewline
17 & 0.0014707407889043 & 0.00294148157780859 & 0.998529259211096 \tabularnewline
18 & 0.00100433661928148 & 0.00200867323856296 & 0.998995663380719 \tabularnewline
19 & 0.000261906108547332 & 0.000523812217094665 & 0.999738093891453 \tabularnewline
20 & 0.00104967629799471 & 0.00209935259598942 & 0.998950323702005 \tabularnewline
21 & 0.000494981387847192 & 0.000989962775694383 & 0.999505018612153 \tabularnewline
22 & 0.00015101007297008 & 0.00030202014594016 & 0.99984898992703 \tabularnewline
23 & 0.000211024978131668 & 0.000422049956263335 & 0.999788975021868 \tabularnewline
24 & 0.00508831062894988 & 0.0101766212578998 & 0.99491168937105 \tabularnewline
25 & 0.00300754948353831 & 0.00601509896707663 & 0.996992450516462 \tabularnewline
26 & 0.00161237139999758 & 0.00322474279999517 & 0.998387628600002 \tabularnewline
27 & 0.000730958145638369 & 0.00146191629127674 & 0.999269041854362 \tabularnewline
28 & 0.000325710712832742 & 0.000651421425665484 & 0.999674289287167 \tabularnewline
29 & 0.00079169531776515 & 0.0015833906355303 & 0.999208304682235 \tabularnewline
30 & 0.000497131580384925 & 0.000994263160769849 & 0.999502868419615 \tabularnewline
31 & 0.0139078921466344 & 0.0278157842932688 & 0.986092107853366 \tabularnewline
32 & 0.0110251423398851 & 0.0220502846797702 & 0.988974857660115 \tabularnewline
33 & 0.00672331557851325 & 0.0134466311570265 & 0.993276684421487 \tabularnewline
34 & 0.142869953848587 & 0.285739907697175 & 0.857130046151413 \tabularnewline
35 & 0.116972532752594 & 0.233945065505188 & 0.883027467247406 \tabularnewline
36 & 0.100520945656033 & 0.201041891312067 & 0.899479054343967 \tabularnewline
37 & 0.075535245916731 & 0.151070491833462 & 0.924464754083269 \tabularnewline
38 & 0.0564119220792627 & 0.112823844158525 & 0.943588077920737 \tabularnewline
39 & 0.0409868222992295 & 0.0819736445984591 & 0.95901317770077 \tabularnewline
40 & 0.0309328553922602 & 0.0618657107845204 & 0.96906714460774 \tabularnewline
41 & 0.0238475230920513 & 0.0476950461841027 & 0.976152476907949 \tabularnewline
42 & 0.0168066889616406 & 0.0336133779232813 & 0.983193311038359 \tabularnewline
43 & 0.015582636278862 & 0.031165272557724 & 0.984417363721138 \tabularnewline
44 & 0.0113852879185575 & 0.0227705758371151 & 0.988614712081442 \tabularnewline
45 & 0.00781325830353116 & 0.0156265166070623 & 0.992186741696469 \tabularnewline
46 & 0.00700607095714841 & 0.0140121419142968 & 0.992993929042852 \tabularnewline
47 & 0.00486498781636846 & 0.00972997563273692 & 0.995135012183632 \tabularnewline
48 & 0.00365829762252508 & 0.00731659524505017 & 0.996341702377475 \tabularnewline
49 & 0.00246281278263962 & 0.00492562556527923 & 0.99753718721736 \tabularnewline
50 & 0.00173431645872266 & 0.00346863291744532 & 0.998265683541277 \tabularnewline
51 & 0.00112214252335548 & 0.00224428504671096 & 0.998877857476644 \tabularnewline
52 & 0.000722354308981509 & 0.00144470861796302 & 0.999277645691019 \tabularnewline
53 & 0.000471331429046833 & 0.000942662858093665 & 0.999528668570953 \tabularnewline
54 & 0.000314863767201153 & 0.000629727534402306 & 0.999685136232799 \tabularnewline
55 & 0.000331067187911462 & 0.000662134375822925 & 0.999668932812089 \tabularnewline
56 & 0.000333063004875472 & 0.000666126009750943 & 0.999666936995125 \tabularnewline
57 & 0.000217070260320203 & 0.000434140520640405 & 0.99978292973968 \tabularnewline
58 & 0.000184680815225399 & 0.000369361630450798 & 0.999815319184775 \tabularnewline
59 & 0.000117807474623537 & 0.000235614949247074 & 0.999882192525376 \tabularnewline
60 & 7.76189475245051e-05 & 0.00015523789504901 & 0.999922381052475 \tabularnewline
61 & 4.98519227446788e-05 & 9.97038454893576e-05 & 0.999950148077255 \tabularnewline
62 & 3.02858740652743e-05 & 6.05717481305485e-05 & 0.999969714125935 \tabularnewline
63 & 1.83038705758617e-05 & 3.66077411517234e-05 & 0.999981696129424 \tabularnewline
64 & 1.08187967755438e-05 & 2.16375935510877e-05 & 0.999989181203224 \tabularnewline
65 & 6.48320464655748e-06 & 1.2966409293115e-05 & 0.999993516795353 \tabularnewline
66 & 4.11253202635383e-06 & 8.22506405270767e-06 & 0.999995887467974 \tabularnewline
67 & 2.58080612649449e-06 & 5.16161225298898e-06 & 0.999997419193874 \tabularnewline
68 & 1.93663996280005e-06 & 3.87327992560009e-06 & 0.999998063360037 \tabularnewline
69 & 1.12355937715539e-06 & 2.24711875431078e-06 & 0.999998876440623 \tabularnewline
70 & 8.19526934662403e-07 & 1.63905386932481e-06 & 0.999999180473065 \tabularnewline
71 & 4.84453865362091e-07 & 9.68907730724182e-07 & 0.999999515546135 \tabularnewline
72 & 3.18006897618885e-07 & 6.3601379523777e-07 & 0.999999681993102 \tabularnewline
73 & 1.80513909804707e-07 & 3.61027819609414e-07 & 0.99999981948609 \tabularnewline
74 & 1.01986579518627e-07 & 2.03973159037254e-07 & 0.99999989801342 \tabularnewline
75 & 5.67414324135682e-08 & 1.13482864827136e-07 & 0.999999943258568 \tabularnewline
76 & 3.08777036133295e-08 & 6.17554072266589e-08 & 0.999999969122296 \tabularnewline
77 & 1.7701372774425e-08 & 3.54027455488501e-08 & 0.999999982298627 \tabularnewline
78 & 9.5845634254516e-09 & 1.91691268509032e-08 & 0.999999990415437 \tabularnewline
79 & 5.76752349601488e-09 & 1.15350469920298e-08 & 0.999999994232477 \tabularnewline
80 & 5.84207223179137e-05 & 0.000116841444635827 & 0.999941579277682 \tabularnewline
81 & 3.95991760008232e-05 & 7.91983520016465e-05 & 0.999960400823999 \tabularnewline
82 & 6.09123081878878e-05 & 0.000121824616375776 & 0.999939087691812 \tabularnewline
83 & 0.169421833294358 & 0.338843666588716 & 0.830578166705642 \tabularnewline
84 & 0.166882060141063 & 0.333764120282127 & 0.833117939858937 \tabularnewline
85 & 0.177538135950997 & 0.355076271901995 & 0.822461864049003 \tabularnewline
86 & 0.648392558783582 & 0.703214882432837 & 0.351607441216418 \tabularnewline
87 & 0.732739341163157 & 0.534521317673685 & 0.267260658836843 \tabularnewline
88 & 0.872852427618622 & 0.254295144762755 & 0.127147572381378 \tabularnewline
89 & 0.854393540291226 & 0.291212919417548 & 0.145606459708774 \tabularnewline
90 & 0.911798170980451 & 0.176403658039098 & 0.0882018290195488 \tabularnewline
91 & 0.911211591673229 & 0.177576816653543 & 0.0887884083267715 \tabularnewline
92 & 0.969570230365246 & 0.060859539269507 & 0.0304297696347535 \tabularnewline
93 & 0.999821961224213 & 0.000356077551574007 & 0.000178038775787003 \tabularnewline
94 & 0.999787456870327 & 0.000425086259345422 & 0.000212543129672711 \tabularnewline
95 & 0.999738118242021 & 0.000523763515958287 & 0.000261881757979143 \tabularnewline
96 & 0.999654155437643 & 0.000691689124713483 & 0.000345844562356742 \tabularnewline
97 & 0.999554405936909 & 0.000891188126181744 & 0.000445594063090872 \tabularnewline
98 & 0.99939794161653 & 0.00120411676693968 & 0.000602058383469841 \tabularnewline
99 & 0.999216424336057 & 0.00156715132788561 & 0.000783575663942806 \tabularnewline
100 & 0.998963141810293 & 0.00207371637941387 & 0.00103685818970694 \tabularnewline
101 & 0.998657768389389 & 0.00268446322122285 & 0.00134223161061143 \tabularnewline
102 & 0.998362113967301 & 0.00327577206539733 & 0.00163788603269867 \tabularnewline
103 & 0.998003733862113 & 0.00399253227577422 & 0.00199626613788711 \tabularnewline
104 & 0.997711225715646 & 0.00457754856870868 & 0.00228877428435434 \tabularnewline
105 & 0.997156311335271 & 0.00568737732945802 & 0.00284368866472901 \tabularnewline
106 & 0.996503914371193 & 0.00699217125761406 & 0.00349608562880703 \tabularnewline
107 & 0.995683292786767 & 0.00863341442646602 & 0.00431670721323301 \tabularnewline
108 & 0.994765817906719 & 0.0104683641865626 & 0.0052341820932813 \tabularnewline
109 & 0.998588261973377 & 0.00282347605324521 & 0.0014117380266226 \tabularnewline
110 & 0.998193672768921 & 0.00361265446215795 & 0.00180632723107898 \tabularnewline
111 & 0.997685963294605 & 0.0046280734107898 & 0.0023140367053949 \tabularnewline
112 & 0.997264108894646 & 0.00547178221070795 & 0.00273589110535398 \tabularnewline
113 & 0.99670453634376 & 0.00659092731248067 & 0.00329546365624034 \tabularnewline
114 & 0.996114806370933 & 0.00777038725813402 & 0.00388519362906701 \tabularnewline
115 & 0.995957038129258 & 0.0080859237414842 & 0.0040429618707421 \tabularnewline
116 & 0.995737323467707 & 0.00852535306458557 & 0.00426267653229278 \tabularnewline
117 & 0.999598249969752 & 0.000803500060496199 & 0.0004017500302481 \tabularnewline
118 & 0.999807645643402 & 0.000384708713195839 & 0.00019235435659792 \tabularnewline
119 & 0.999772880177581 & 0.000454239644836961 & 0.00022711982241848 \tabularnewline
120 & 0.999713424622522 & 0.000573150754955576 & 0.000286575377477788 \tabularnewline
121 & 0.999666690167975 & 0.000666619664050566 & 0.000333309832025283 \tabularnewline
122 & 0.999975165419941 & 4.96691601182246e-05 & 2.48345800591123e-05 \tabularnewline
123 & 0.99999999611565 & 7.76870037778287e-09 & 3.88435018889144e-09 \tabularnewline
124 & 0.999999998215192 & 3.56961637071746e-09 & 1.78480818535873e-09 \tabularnewline
125 & 0.999999999263397 & 1.47320553568e-09 & 7.36602767839999e-10 \tabularnewline
126 & 0.999999998827777 & 2.3444453469053e-09 & 1.17222267345265e-09 \tabularnewline
127 & 0.999999999575711 & 8.48578676397086e-10 & 4.24289338198543e-10 \tabularnewline
128 & 0.999999999539126 & 9.21747798488753e-10 & 4.60873899244377e-10 \tabularnewline
129 & 0.999999999594381 & 8.11237627058438e-10 & 4.05618813529219e-10 \tabularnewline
130 & 0.999999999355457 & 1.28908678561526e-09 & 6.44543392807628e-10 \tabularnewline
131 & 0.99999999942221 & 1.15558059339804e-09 & 5.77790296699021e-10 \tabularnewline
132 & 0.999999999133435 & 1.73313025144276e-09 & 8.66565125721382e-10 \tabularnewline
133 & 0.999999998673592 & 2.65281545182063e-09 & 1.32640772591031e-09 \tabularnewline
134 & 0.999999998331123 & 3.33775353585968e-09 & 1.66887676792984e-09 \tabularnewline
135 & 0.999999997412841 & 5.17431896927879e-09 & 2.58715948463939e-09 \tabularnewline
136 & 0.999999996133699 & 7.73260270755191e-09 & 3.86630135377596e-09 \tabularnewline
137 & 0.999999993889226 & 1.22215486381938e-08 & 6.11077431909692e-09 \tabularnewline
138 & 0.999999990906259 & 1.81874822625352e-08 & 9.09374113126758e-09 \tabularnewline
139 & 0.999999986399179 & 2.7201642573732e-08 & 1.3600821286866e-08 \tabularnewline
140 & 0.999999986422243 & 2.71555144362203e-08 & 1.35777572181101e-08 \tabularnewline
141 & 0.999999983761369 & 3.24772613767819e-08 & 1.6238630688391e-08 \tabularnewline
142 & 0.999999976235647 & 4.7528705649289e-08 & 2.37643528246445e-08 \tabularnewline
143 & 0.999999965576124 & 6.88477528730477e-08 & 3.44238764365238e-08 \tabularnewline
144 & 0.999999970532749 & 5.89345019299553e-08 & 2.94672509649776e-08 \tabularnewline
145 & 0.999999956354182 & 8.72916359839697e-08 & 4.36458179919848e-08 \tabularnewline
146 & 0.999999942214962 & 1.15570076901672e-07 & 5.77850384508359e-08 \tabularnewline
147 & 0.999999925136829 & 1.49726342010505e-07 & 7.48631710052524e-08 \tabularnewline
148 & 0.99999989409538 & 2.11809238977226e-07 & 1.05904619488613e-07 \tabularnewline
149 & 0.999999852908947 & 2.94182106325925e-07 & 1.47091053162962e-07 \tabularnewline
150 & 0.999999799668824 & 4.00662352008149e-07 & 2.00331176004075e-07 \tabularnewline
151 & 0.999999715818217 & 5.68363566480133e-07 & 2.84181783240067e-07 \tabularnewline
152 & 0.999999715450642 & 5.69098716865538e-07 & 2.84549358432769e-07 \tabularnewline
153 & 0.999999597132267 & 8.05735466600892e-07 & 4.02867733300446e-07 \tabularnewline
154 & 0.9999994251503 & 1.14969940009055e-06 & 5.74849700045273e-07 \tabularnewline
155 & 0.999999307939862 & 1.38412027589923e-06 & 6.92060137949617e-07 \tabularnewline
156 & 0.999999089515236 & 1.82096952841475e-06 & 9.10484764207374e-07 \tabularnewline
157 & 0.999998680678687 & 2.6386426257294e-06 & 1.3193213128647e-06 \tabularnewline
158 & 0.99999814314699 & 3.71370601969152e-06 & 1.85685300984576e-06 \tabularnewline
159 & 0.999997328845657 & 5.34230868536357e-06 & 2.67115434268178e-06 \tabularnewline
160 & 0.999996319136314 & 7.36172737137654e-06 & 3.68086368568827e-06 \tabularnewline
161 & 0.99999503718105 & 9.92563789923217e-06 & 4.96281894961609e-06 \tabularnewline
162 & 0.999993297550343 & 1.34048993145113e-05 & 6.70244965725565e-06 \tabularnewline
163 & 0.999991531975419 & 1.69360491627022e-05 & 8.46802458135112e-06 \tabularnewline
164 & 0.99998867551835 & 2.26489632992999e-05 & 1.13244816496499e-05 \tabularnewline
165 & 0.999985821072796 & 2.83578544084688e-05 & 1.41789272042344e-05 \tabularnewline
166 & 0.999983838455426 & 3.23230891474659e-05 & 1.6161544573733e-05 \tabularnewline
167 & 0.999979545519296 & 4.09089614082916e-05 & 2.04544807041458e-05 \tabularnewline
168 & 0.99997713209939 & 4.57358012192259e-05 & 2.28679006096129e-05 \tabularnewline
169 & 0.999971593636897 & 5.68127262060758e-05 & 2.84063631030379e-05 \tabularnewline
170 & 0.999963913485987 & 7.21730280265112e-05 & 3.60865140132556e-05 \tabularnewline
171 & 0.999952962645604 & 9.40747087914373e-05 & 4.70373543957187e-05 \tabularnewline
172 & 0.99993558560119 & 0.000128828797620081 & 6.44143988100405e-05 \tabularnewline
173 & 0.999911901844622 & 0.000176196310755425 & 8.80981553777124e-05 \tabularnewline
174 & 0.99988906247781 & 0.000221875044380971 & 0.000110937522190485 \tabularnewline
175 & 0.999863669119901 & 0.000272661760198646 & 0.000136330880099323 \tabularnewline
176 & 0.999852598313067 & 0.000294803373866271 & 0.000147401686933136 \tabularnewline
177 & 0.99983331197844 & 0.000333376043120082 & 0.000166688021560041 \tabularnewline
178 & 0.999795723525173 & 0.000408552949654026 & 0.000204276474827013 \tabularnewline
179 & 0.999740143808473 & 0.000519712383053367 & 0.000259856191526683 \tabularnewline
180 & 0.999671219206633 & 0.000657561586733531 & 0.000328780793366766 \tabularnewline
181 & 0.999589637926676 & 0.000820724146647676 & 0.000410362073323838 \tabularnewline
182 & 0.999567933243578 & 0.000864133512843462 & 0.000432066756421731 \tabularnewline
183 & 0.999437320552222 & 0.00112535889555573 & 0.000562679447777863 \tabularnewline
184 & 0.999264057663617 & 0.00147188467276652 & 0.000735942336383262 \tabularnewline
185 & 0.999035973016899 & 0.00192805396620127 & 0.000964026983100633 \tabularnewline
186 & 0.999059168924365 & 0.00188166215126991 & 0.000940831075634956 \tabularnewline
187 & 0.99881122145213 & 0.00237755709574062 & 0.00118877854787031 \tabularnewline
188 & 0.998596676494751 & 0.00280664701049785 & 0.00140332350524893 \tabularnewline
189 & 0.998380734579707 & 0.00323853084058596 & 0.00161926542029298 \tabularnewline
190 & 0.998076245595409 & 0.00384750880918179 & 0.0019237544045909 \tabularnewline
191 & 0.997582198037003 & 0.00483560392599494 & 0.00241780196299747 \tabularnewline
192 & 0.997048851199828 & 0.00590229760034456 & 0.00295114880017228 \tabularnewline
193 & 0.996315686386762 & 0.00736862722647678 & 0.00368431361323839 \tabularnewline
194 & 0.995935509512037 & 0.00812898097592517 & 0.00406449048796259 \tabularnewline
195 & 0.995003922793097 & 0.0099921544138062 & 0.0049960772069031 \tabularnewline
196 & 0.994048939056267 & 0.0119021218874663 & 0.00595106094373317 \tabularnewline
197 & 0.992658982797634 & 0.0146820344047311 & 0.00734101720236557 \tabularnewline
198 & 0.99094747095227 & 0.0181050580954596 & 0.0090525290477298 \tabularnewline
199 & 0.988913600003154 & 0.0221727999936922 & 0.0110863999968461 \tabularnewline
200 & 0.987056604471328 & 0.0258867910573434 & 0.0129433955286717 \tabularnewline
201 & 0.98571631139144 & 0.0285673772171195 & 0.0142836886085598 \tabularnewline
202 & 0.984042716611218 & 0.0319145667775639 & 0.015957283388782 \tabularnewline
203 & 0.981842702683051 & 0.0363145946338989 & 0.0181572973169495 \tabularnewline
204 & 0.979569820889743 & 0.0408603582205148 & 0.0204301791102574 \tabularnewline
205 & 0.977203603568735 & 0.0455927928625307 & 0.0227963964312654 \tabularnewline
206 & 0.976566845205418 & 0.0468663095891639 & 0.023433154794582 \tabularnewline
207 & 0.973204281453881 & 0.0535914370922381 & 0.026795718546119 \tabularnewline
208 & 0.968468297775824 & 0.063063404448353 & 0.0315317022241765 \tabularnewline
209 & 0.963260015151217 & 0.0734799696975662 & 0.0367399848487831 \tabularnewline
210 & 0.957881220044956 & 0.0842375599100882 & 0.0421187799550441 \tabularnewline
211 & 0.954821116533719 & 0.0903577669325617 & 0.0451788834662809 \tabularnewline
212 & 0.991517589471855 & 0.0169648210562894 & 0.00848241052814472 \tabularnewline
213 & 0.990745463284783 & 0.0185090734304351 & 0.00925453671521753 \tabularnewline
214 & 0.989269857148784 & 0.021460285702432 & 0.010730142851216 \tabularnewline
215 & 0.987507711200054 & 0.024984577599893 & 0.0124922887999465 \tabularnewline
216 & 0.986239997594642 & 0.0275200048107167 & 0.0137600024053583 \tabularnewline
217 & 0.985319484934529 & 0.0293610301309415 & 0.0146805150654707 \tabularnewline
218 & 0.985283919477526 & 0.0294321610449473 & 0.0147160805224736 \tabularnewline
219 & 0.982207884501506 & 0.0355842309969872 & 0.0177921154984936 \tabularnewline
220 & 0.97880182042899 & 0.0423963591420192 & 0.0211981795710096 \tabularnewline
221 & 0.97531988670859 & 0.0493602265828191 & 0.0246801132914095 \tabularnewline
222 & 0.970600237580544 & 0.0587995248389123 & 0.0293997624194561 \tabularnewline
223 & 0.965579510228886 & 0.0688409795422277 & 0.0344204897711138 \tabularnewline
224 & 0.962364269295475 & 0.0752714614090507 & 0.0376357307045254 \tabularnewline
225 & 0.962087421245318 & 0.0758251575093643 & 0.0379125787546822 \tabularnewline
226 & 0.958371257957632 & 0.0832574840847366 & 0.0416287420423683 \tabularnewline
227 & 0.953460120595377 & 0.0930797588092466 & 0.0465398794046233 \tabularnewline
228 & 0.952097904656419 & 0.0958041906871624 & 0.0479020953435812 \tabularnewline
229 & 0.950173996199023 & 0.0996520076019534 & 0.0498260038009767 \tabularnewline
230 & 0.951170089942835 & 0.0976598201143306 & 0.0488299100571653 \tabularnewline
231 & 0.945586855711367 & 0.108826288577266 & 0.0544131442886332 \tabularnewline
232 & 0.938389116828792 & 0.123221766342417 & 0.0616108831712083 \tabularnewline
233 & 0.927888947434423 & 0.144222105131155 & 0.0721110525655773 \tabularnewline
234 & 0.916352998698498 & 0.167294002603004 & 0.083647001301502 \tabularnewline
235 & 0.907302660851221 & 0.185394678297557 & 0.0926973391487787 \tabularnewline
236 & 0.89873116221359 & 0.20253767557282 & 0.10126883778641 \tabularnewline
237 & 0.89817719985451 & 0.203645600290979 & 0.10182280014549 \tabularnewline
238 & 0.898297248046658 & 0.203405503906685 & 0.101702751953342 \tabularnewline
239 & 0.888207595347285 & 0.22358480930543 & 0.111792404652715 \tabularnewline
240 & 0.884129326284636 & 0.231741347430728 & 0.115870673715364 \tabularnewline
241 & 0.883914303482871 & 0.232171393034259 & 0.116085696517129 \tabularnewline
242 & 0.890144933710613 & 0.219710132578774 & 0.109855066289387 \tabularnewline
243 & 0.879036318259833 & 0.241927363480333 & 0.120963681740167 \tabularnewline
244 & 0.864136564316404 & 0.271726871367193 & 0.135863435683596 \tabularnewline
245 & 0.855956511295088 & 0.288086977409824 & 0.144043488704912 \tabularnewline
246 & 0.840679493985981 & 0.318641012028039 & 0.159320506014019 \tabularnewline
247 & 0.825949317074617 & 0.348101365850766 & 0.174050682925383 \tabularnewline
248 & 0.820457786595705 & 0.35908442680859 & 0.179542213404295 \tabularnewline
249 & 0.805444943531775 & 0.389110112936451 & 0.194555056468225 \tabularnewline
250 & 0.794708379027845 & 0.410583241944311 & 0.205291620972156 \tabularnewline
251 & 0.783712843663823 & 0.432574312672354 & 0.216287156336177 \tabularnewline
252 & 0.792440201831995 & 0.41511959633601 & 0.207559798168005 \tabularnewline
253 & 0.7821312930821 & 0.4357374138358 & 0.2178687069179 \tabularnewline
254 & 0.760555840007326 & 0.478888319985349 & 0.239444159992674 \tabularnewline
255 & 0.744735029668376 & 0.510529940663248 & 0.255264970331624 \tabularnewline
256 & 0.717736284064212 & 0.564527431871577 & 0.282263715935788 \tabularnewline
257 & 0.696220504262733 & 0.607558991474534 & 0.303779495737267 \tabularnewline
258 & 0.670647839632317 & 0.658704320735366 & 0.329352160367683 \tabularnewline
259 & 0.66767240520778 & 0.664655189584439 & 0.33232759479222 \tabularnewline
260 & 0.657763041112159 & 0.684473917775681 & 0.342236958887841 \tabularnewline
261 & 0.667233711601312 & 0.665532576797375 & 0.332766288398688 \tabularnewline
262 & 0.669568372602333 & 0.660863254795334 & 0.330431627397667 \tabularnewline
263 & 0.658887336014415 & 0.68222532797117 & 0.341112663985585 \tabularnewline
264 & 0.666926618182742 & 0.666146763634515 & 0.333073381817258 \tabularnewline
265 & 0.670883988734898 & 0.658232022530204 & 0.329116011265102 \tabularnewline
266 & 0.715965432214435 & 0.56806913557113 & 0.284034567785565 \tabularnewline
267 & 0.697038488967548 & 0.605923022064904 & 0.302961511032452 \tabularnewline
268 & 0.667958485860806 & 0.664083028278387 & 0.332041514139194 \tabularnewline
269 & 0.648328946117902 & 0.703342107764197 & 0.351671053882098 \tabularnewline
270 & 0.620545880892096 & 0.758908238215809 & 0.379454119107904 \tabularnewline
271 & 0.617941629956934 & 0.764116740086133 & 0.382058370043066 \tabularnewline
272 & 0.614467779948246 & 0.771064440103507 & 0.385532220051754 \tabularnewline
273 & 0.640374605578903 & 0.719250788842195 & 0.359625394421097 \tabularnewline
274 & 0.662812748485169 & 0.674374503029663 & 0.337187251514831 \tabularnewline
275 & 0.627150689974792 & 0.745698620050417 & 0.372849310025208 \tabularnewline
276 & 0.603577998152728 & 0.792844003694544 & 0.396422001847272 \tabularnewline
277 & 0.58917926983531 & 0.82164146032938 & 0.41082073016469 \tabularnewline
278 & 0.622405741785789 & 0.755188516428421 & 0.377594258214211 \tabularnewline
279 & 0.584298767974204 & 0.831402464051592 & 0.415701232025796 \tabularnewline
280 & 0.561122827435848 & 0.877754345128304 & 0.438877172564152 \tabularnewline
281 & 0.563126119255521 & 0.873747761488958 & 0.436873880744479 \tabularnewline
282 & 0.531570069948461 & 0.936859860103077 & 0.468429930051539 \tabularnewline
283 & 0.529786596032341 & 0.940426807935319 & 0.470213403967659 \tabularnewline
284 & 0.532108780660196 & 0.935782438679607 & 0.467891219339804 \tabularnewline
285 & 0.540402521019663 & 0.919194957960674 & 0.459597478980337 \tabularnewline
286 & 0.572173744651594 & 0.855652510696811 & 0.427826255348406 \tabularnewline
287 & 0.551897117231282 & 0.896205765537435 & 0.448102882768718 \tabularnewline
288 & 0.540561116330049 & 0.918877767339903 & 0.459438883669951 \tabularnewline
289 & 0.529473211508554 & 0.941053576982891 & 0.470526788491446 \tabularnewline
290 & 0.498646640425905 & 0.99729328085181 & 0.501353359574095 \tabularnewline
291 & 0.461273450752668 & 0.922546901505336 & 0.538726549247332 \tabularnewline
292 & 0.435333256740867 & 0.870666513481734 & 0.564666743259133 \tabularnewline
293 & 0.437858704305874 & 0.875717408611749 & 0.562141295694126 \tabularnewline
294 & 0.419079938765639 & 0.838159877531278 & 0.580920061234361 \tabularnewline
295 & 0.406942513955829 & 0.813885027911659 & 0.593057486044171 \tabularnewline
296 & 0.377194919626846 & 0.754389839253692 & 0.622805080373154 \tabularnewline
297 & 0.350736157283008 & 0.701472314566016 & 0.649263842716992 \tabularnewline
298 & 0.372472500247106 & 0.744945000494212 & 0.627527499752894 \tabularnewline
299 & 0.331218871807651 & 0.662437743615302 & 0.668781128192349 \tabularnewline
300 & 0.319294360951282 & 0.638588721902563 & 0.680705639048718 \tabularnewline
301 & 0.291102918575817 & 0.582205837151635 & 0.708897081424183 \tabularnewline
302 & 0.265223935433243 & 0.530447870866485 & 0.734776064566757 \tabularnewline
303 & 0.308926880344624 & 0.617853760689248 & 0.691073119655376 \tabularnewline
304 & 0.283736977117249 & 0.567473954234498 & 0.716263022882751 \tabularnewline
305 & 0.338920351487048 & 0.677840702974096 & 0.661079648512952 \tabularnewline
306 & 0.299161502966082 & 0.598323005932163 & 0.700838497033919 \tabularnewline
307 & 0.348766293884458 & 0.697532587768916 & 0.651233706115542 \tabularnewline
308 & 0.320381349767654 & 0.640762699535308 & 0.679618650232346 \tabularnewline
309 & 0.287039599865418 & 0.574079199730836 & 0.712960400134582 \tabularnewline
310 & 0.283783740794672 & 0.567567481589344 & 0.716216259205328 \tabularnewline
311 & 0.262048665587535 & 0.524097331175071 & 0.737951334412465 \tabularnewline
312 & 0.255857748181907 & 0.511715496363814 & 0.744142251818093 \tabularnewline
313 & 0.232481919005105 & 0.46496383801021 & 0.767518080994895 \tabularnewline
314 & 0.198712248059631 & 0.397424496119263 & 0.801287751940369 \tabularnewline
315 & 0.173532928696648 & 0.347065857393296 & 0.826467071303352 \tabularnewline
316 & 0.148878521107246 & 0.297757042214492 & 0.851121478892754 \tabularnewline
317 & 0.128617176486269 & 0.257234352972538 & 0.871382823513731 \tabularnewline
318 & 0.108447319770479 & 0.216894639540957 & 0.891552680229521 \tabularnewline
319 & 0.117389446663653 & 0.234778893327307 & 0.882610553336347 \tabularnewline
320 & 0.116259318269159 & 0.232518636538319 & 0.883740681730841 \tabularnewline
321 & 0.0912846198776814 & 0.182569239755363 & 0.908715380122319 \tabularnewline
322 & 0.236024456661333 & 0.472048913322665 & 0.763975543338667 \tabularnewline
323 & 0.278477087003256 & 0.556954174006513 & 0.721522912996744 \tabularnewline
324 & 0.288551144697319 & 0.577102289394639 & 0.711448855302681 \tabularnewline
325 & 0.243737551029065 & 0.48747510205813 & 0.756262448970935 \tabularnewline
326 & 0.399812163882973 & 0.799624327765945 & 0.600187836117027 \tabularnewline
327 & 0.331966973459979 & 0.663933946919958 & 0.668033026540021 \tabularnewline
328 & 0.282246218931752 & 0.564492437863504 & 0.717753781068248 \tabularnewline
329 & 0.217550382367153 & 0.435100764734307 & 0.782449617632847 \tabularnewline
330 & 0.162660437585203 & 0.325320875170406 & 0.837339562414797 \tabularnewline
331 & 0.263603001559569 & 0.527206003119138 & 0.736396998440431 \tabularnewline
332 & 0.265094509530334 & 0.530189019060668 & 0.734905490469666 \tabularnewline
333 & 0.828110203463887 & 0.343779593072225 & 0.171889796536113 \tabularnewline
334 & 0.768647753812807 & 0.462704492374386 & 0.231352246187193 \tabularnewline
335 & 0.700756178251723 & 0.598487643496554 & 0.299243821748277 \tabularnewline
336 & 0.85435338107393 & 0.29129323785214 & 0.14564661892607 \tabularnewline
337 & 0.822392679106235 & 0.355214641787531 & 0.177607320893765 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=149922&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]15[/C][C]0.0238292185458816[/C][C]0.0476584370917632[/C][C]0.976170781454118[/C][/ROW]
[ROW][C]16[/C][C]0.00646656989894672[/C][C]0.0129331397978934[/C][C]0.993533430101053[/C][/ROW]
[ROW][C]17[/C][C]0.0014707407889043[/C][C]0.00294148157780859[/C][C]0.998529259211096[/C][/ROW]
[ROW][C]18[/C][C]0.00100433661928148[/C][C]0.00200867323856296[/C][C]0.998995663380719[/C][/ROW]
[ROW][C]19[/C][C]0.000261906108547332[/C][C]0.000523812217094665[/C][C]0.999738093891453[/C][/ROW]
[ROW][C]20[/C][C]0.00104967629799471[/C][C]0.00209935259598942[/C][C]0.998950323702005[/C][/ROW]
[ROW][C]21[/C][C]0.000494981387847192[/C][C]0.000989962775694383[/C][C]0.999505018612153[/C][/ROW]
[ROW][C]22[/C][C]0.00015101007297008[/C][C]0.00030202014594016[/C][C]0.99984898992703[/C][/ROW]
[ROW][C]23[/C][C]0.000211024978131668[/C][C]0.000422049956263335[/C][C]0.999788975021868[/C][/ROW]
[ROW][C]24[/C][C]0.00508831062894988[/C][C]0.0101766212578998[/C][C]0.99491168937105[/C][/ROW]
[ROW][C]25[/C][C]0.00300754948353831[/C][C]0.00601509896707663[/C][C]0.996992450516462[/C][/ROW]
[ROW][C]26[/C][C]0.00161237139999758[/C][C]0.00322474279999517[/C][C]0.998387628600002[/C][/ROW]
[ROW][C]27[/C][C]0.000730958145638369[/C][C]0.00146191629127674[/C][C]0.999269041854362[/C][/ROW]
[ROW][C]28[/C][C]0.000325710712832742[/C][C]0.000651421425665484[/C][C]0.999674289287167[/C][/ROW]
[ROW][C]29[/C][C]0.00079169531776515[/C][C]0.0015833906355303[/C][C]0.999208304682235[/C][/ROW]
[ROW][C]30[/C][C]0.000497131580384925[/C][C]0.000994263160769849[/C][C]0.999502868419615[/C][/ROW]
[ROW][C]31[/C][C]0.0139078921466344[/C][C]0.0278157842932688[/C][C]0.986092107853366[/C][/ROW]
[ROW][C]32[/C][C]0.0110251423398851[/C][C]0.0220502846797702[/C][C]0.988974857660115[/C][/ROW]
[ROW][C]33[/C][C]0.00672331557851325[/C][C]0.0134466311570265[/C][C]0.993276684421487[/C][/ROW]
[ROW][C]34[/C][C]0.142869953848587[/C][C]0.285739907697175[/C][C]0.857130046151413[/C][/ROW]
[ROW][C]35[/C][C]0.116972532752594[/C][C]0.233945065505188[/C][C]0.883027467247406[/C][/ROW]
[ROW][C]36[/C][C]0.100520945656033[/C][C]0.201041891312067[/C][C]0.899479054343967[/C][/ROW]
[ROW][C]37[/C][C]0.075535245916731[/C][C]0.151070491833462[/C][C]0.924464754083269[/C][/ROW]
[ROW][C]38[/C][C]0.0564119220792627[/C][C]0.112823844158525[/C][C]0.943588077920737[/C][/ROW]
[ROW][C]39[/C][C]0.0409868222992295[/C][C]0.0819736445984591[/C][C]0.95901317770077[/C][/ROW]
[ROW][C]40[/C][C]0.0309328553922602[/C][C]0.0618657107845204[/C][C]0.96906714460774[/C][/ROW]
[ROW][C]41[/C][C]0.0238475230920513[/C][C]0.0476950461841027[/C][C]0.976152476907949[/C][/ROW]
[ROW][C]42[/C][C]0.0168066889616406[/C][C]0.0336133779232813[/C][C]0.983193311038359[/C][/ROW]
[ROW][C]43[/C][C]0.015582636278862[/C][C]0.031165272557724[/C][C]0.984417363721138[/C][/ROW]
[ROW][C]44[/C][C]0.0113852879185575[/C][C]0.0227705758371151[/C][C]0.988614712081442[/C][/ROW]
[ROW][C]45[/C][C]0.00781325830353116[/C][C]0.0156265166070623[/C][C]0.992186741696469[/C][/ROW]
[ROW][C]46[/C][C]0.00700607095714841[/C][C]0.0140121419142968[/C][C]0.992993929042852[/C][/ROW]
[ROW][C]47[/C][C]0.00486498781636846[/C][C]0.00972997563273692[/C][C]0.995135012183632[/C][/ROW]
[ROW][C]48[/C][C]0.00365829762252508[/C][C]0.00731659524505017[/C][C]0.996341702377475[/C][/ROW]
[ROW][C]49[/C][C]0.00246281278263962[/C][C]0.00492562556527923[/C][C]0.99753718721736[/C][/ROW]
[ROW][C]50[/C][C]0.00173431645872266[/C][C]0.00346863291744532[/C][C]0.998265683541277[/C][/ROW]
[ROW][C]51[/C][C]0.00112214252335548[/C][C]0.00224428504671096[/C][C]0.998877857476644[/C][/ROW]
[ROW][C]52[/C][C]0.000722354308981509[/C][C]0.00144470861796302[/C][C]0.999277645691019[/C][/ROW]
[ROW][C]53[/C][C]0.000471331429046833[/C][C]0.000942662858093665[/C][C]0.999528668570953[/C][/ROW]
[ROW][C]54[/C][C]0.000314863767201153[/C][C]0.000629727534402306[/C][C]0.999685136232799[/C][/ROW]
[ROW][C]55[/C][C]0.000331067187911462[/C][C]0.000662134375822925[/C][C]0.999668932812089[/C][/ROW]
[ROW][C]56[/C][C]0.000333063004875472[/C][C]0.000666126009750943[/C][C]0.999666936995125[/C][/ROW]
[ROW][C]57[/C][C]0.000217070260320203[/C][C]0.000434140520640405[/C][C]0.99978292973968[/C][/ROW]
[ROW][C]58[/C][C]0.000184680815225399[/C][C]0.000369361630450798[/C][C]0.999815319184775[/C][/ROW]
[ROW][C]59[/C][C]0.000117807474623537[/C][C]0.000235614949247074[/C][C]0.999882192525376[/C][/ROW]
[ROW][C]60[/C][C]7.76189475245051e-05[/C][C]0.00015523789504901[/C][C]0.999922381052475[/C][/ROW]
[ROW][C]61[/C][C]4.98519227446788e-05[/C][C]9.97038454893576e-05[/C][C]0.999950148077255[/C][/ROW]
[ROW][C]62[/C][C]3.02858740652743e-05[/C][C]6.05717481305485e-05[/C][C]0.999969714125935[/C][/ROW]
[ROW][C]63[/C][C]1.83038705758617e-05[/C][C]3.66077411517234e-05[/C][C]0.999981696129424[/C][/ROW]
[ROW][C]64[/C][C]1.08187967755438e-05[/C][C]2.16375935510877e-05[/C][C]0.999989181203224[/C][/ROW]
[ROW][C]65[/C][C]6.48320464655748e-06[/C][C]1.2966409293115e-05[/C][C]0.999993516795353[/C][/ROW]
[ROW][C]66[/C][C]4.11253202635383e-06[/C][C]8.22506405270767e-06[/C][C]0.999995887467974[/C][/ROW]
[ROW][C]67[/C][C]2.58080612649449e-06[/C][C]5.16161225298898e-06[/C][C]0.999997419193874[/C][/ROW]
[ROW][C]68[/C][C]1.93663996280005e-06[/C][C]3.87327992560009e-06[/C][C]0.999998063360037[/C][/ROW]
[ROW][C]69[/C][C]1.12355937715539e-06[/C][C]2.24711875431078e-06[/C][C]0.999998876440623[/C][/ROW]
[ROW][C]70[/C][C]8.19526934662403e-07[/C][C]1.63905386932481e-06[/C][C]0.999999180473065[/C][/ROW]
[ROW][C]71[/C][C]4.84453865362091e-07[/C][C]9.68907730724182e-07[/C][C]0.999999515546135[/C][/ROW]
[ROW][C]72[/C][C]3.18006897618885e-07[/C][C]6.3601379523777e-07[/C][C]0.999999681993102[/C][/ROW]
[ROW][C]73[/C][C]1.80513909804707e-07[/C][C]3.61027819609414e-07[/C][C]0.99999981948609[/C][/ROW]
[ROW][C]74[/C][C]1.01986579518627e-07[/C][C]2.03973159037254e-07[/C][C]0.99999989801342[/C][/ROW]
[ROW][C]75[/C][C]5.67414324135682e-08[/C][C]1.13482864827136e-07[/C][C]0.999999943258568[/C][/ROW]
[ROW][C]76[/C][C]3.08777036133295e-08[/C][C]6.17554072266589e-08[/C][C]0.999999969122296[/C][/ROW]
[ROW][C]77[/C][C]1.7701372774425e-08[/C][C]3.54027455488501e-08[/C][C]0.999999982298627[/C][/ROW]
[ROW][C]78[/C][C]9.5845634254516e-09[/C][C]1.91691268509032e-08[/C][C]0.999999990415437[/C][/ROW]
[ROW][C]79[/C][C]5.76752349601488e-09[/C][C]1.15350469920298e-08[/C][C]0.999999994232477[/C][/ROW]
[ROW][C]80[/C][C]5.84207223179137e-05[/C][C]0.000116841444635827[/C][C]0.999941579277682[/C][/ROW]
[ROW][C]81[/C][C]3.95991760008232e-05[/C][C]7.91983520016465e-05[/C][C]0.999960400823999[/C][/ROW]
[ROW][C]82[/C][C]6.09123081878878e-05[/C][C]0.000121824616375776[/C][C]0.999939087691812[/C][/ROW]
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[ROW][C]213[/C][C]0.990745463284783[/C][C]0.0185090734304351[/C][C]0.00925453671521753[/C][/ROW]
[ROW][C]214[/C][C]0.989269857148784[/C][C]0.021460285702432[/C][C]0.010730142851216[/C][/ROW]
[ROW][C]215[/C][C]0.987507711200054[/C][C]0.024984577599893[/C][C]0.0124922887999465[/C][/ROW]
[ROW][C]216[/C][C]0.986239997594642[/C][C]0.0275200048107167[/C][C]0.0137600024053583[/C][/ROW]
[ROW][C]217[/C][C]0.985319484934529[/C][C]0.0293610301309415[/C][C]0.0146805150654707[/C][/ROW]
[ROW][C]218[/C][C]0.985283919477526[/C][C]0.0294321610449473[/C][C]0.0147160805224736[/C][/ROW]
[ROW][C]219[/C][C]0.982207884501506[/C][C]0.0355842309969872[/C][C]0.0177921154984936[/C][/ROW]
[ROW][C]220[/C][C]0.97880182042899[/C][C]0.0423963591420192[/C][C]0.0211981795710096[/C][/ROW]
[ROW][C]221[/C][C]0.97531988670859[/C][C]0.0493602265828191[/C][C]0.0246801132914095[/C][/ROW]
[ROW][C]222[/C][C]0.970600237580544[/C][C]0.0587995248389123[/C][C]0.0293997624194561[/C][/ROW]
[ROW][C]223[/C][C]0.965579510228886[/C][C]0.0688409795422277[/C][C]0.0344204897711138[/C][/ROW]
[ROW][C]224[/C][C]0.962364269295475[/C][C]0.0752714614090507[/C][C]0.0376357307045254[/C][/ROW]
[ROW][C]225[/C][C]0.962087421245318[/C][C]0.0758251575093643[/C][C]0.0379125787546822[/C][/ROW]
[ROW][C]226[/C][C]0.958371257957632[/C][C]0.0832574840847366[/C][C]0.0416287420423683[/C][/ROW]
[ROW][C]227[/C][C]0.953460120595377[/C][C]0.0930797588092466[/C][C]0.0465398794046233[/C][/ROW]
[ROW][C]228[/C][C]0.952097904656419[/C][C]0.0958041906871624[/C][C]0.0479020953435812[/C][/ROW]
[ROW][C]229[/C][C]0.950173996199023[/C][C]0.0996520076019534[/C][C]0.0498260038009767[/C][/ROW]
[ROW][C]230[/C][C]0.951170089942835[/C][C]0.0976598201143306[/C][C]0.0488299100571653[/C][/ROW]
[ROW][C]231[/C][C]0.945586855711367[/C][C]0.108826288577266[/C][C]0.0544131442886332[/C][/ROW]
[ROW][C]232[/C][C]0.938389116828792[/C][C]0.123221766342417[/C][C]0.0616108831712083[/C][/ROW]
[ROW][C]233[/C][C]0.927888947434423[/C][C]0.144222105131155[/C][C]0.0721110525655773[/C][/ROW]
[ROW][C]234[/C][C]0.916352998698498[/C][C]0.167294002603004[/C][C]0.083647001301502[/C][/ROW]
[ROW][C]235[/C][C]0.907302660851221[/C][C]0.185394678297557[/C][C]0.0926973391487787[/C][/ROW]
[ROW][C]236[/C][C]0.89873116221359[/C][C]0.20253767557282[/C][C]0.10126883778641[/C][/ROW]
[ROW][C]237[/C][C]0.89817719985451[/C][C]0.203645600290979[/C][C]0.10182280014549[/C][/ROW]
[ROW][C]238[/C][C]0.898297248046658[/C][C]0.203405503906685[/C][C]0.101702751953342[/C][/ROW]
[ROW][C]239[/C][C]0.888207595347285[/C][C]0.22358480930543[/C][C]0.111792404652715[/C][/ROW]
[ROW][C]240[/C][C]0.884129326284636[/C][C]0.231741347430728[/C][C]0.115870673715364[/C][/ROW]
[ROW][C]241[/C][C]0.883914303482871[/C][C]0.232171393034259[/C][C]0.116085696517129[/C][/ROW]
[ROW][C]242[/C][C]0.890144933710613[/C][C]0.219710132578774[/C][C]0.109855066289387[/C][/ROW]
[ROW][C]243[/C][C]0.879036318259833[/C][C]0.241927363480333[/C][C]0.120963681740167[/C][/ROW]
[ROW][C]244[/C][C]0.864136564316404[/C][C]0.271726871367193[/C][C]0.135863435683596[/C][/ROW]
[ROW][C]245[/C][C]0.855956511295088[/C][C]0.288086977409824[/C][C]0.144043488704912[/C][/ROW]
[ROW][C]246[/C][C]0.840679493985981[/C][C]0.318641012028039[/C][C]0.159320506014019[/C][/ROW]
[ROW][C]247[/C][C]0.825949317074617[/C][C]0.348101365850766[/C][C]0.174050682925383[/C][/ROW]
[ROW][C]248[/C][C]0.820457786595705[/C][C]0.35908442680859[/C][C]0.179542213404295[/C][/ROW]
[ROW][C]249[/C][C]0.805444943531775[/C][C]0.389110112936451[/C][C]0.194555056468225[/C][/ROW]
[ROW][C]250[/C][C]0.794708379027845[/C][C]0.410583241944311[/C][C]0.205291620972156[/C][/ROW]
[ROW][C]251[/C][C]0.783712843663823[/C][C]0.432574312672354[/C][C]0.216287156336177[/C][/ROW]
[ROW][C]252[/C][C]0.792440201831995[/C][C]0.41511959633601[/C][C]0.207559798168005[/C][/ROW]
[ROW][C]253[/C][C]0.7821312930821[/C][C]0.4357374138358[/C][C]0.2178687069179[/C][/ROW]
[ROW][C]254[/C][C]0.760555840007326[/C][C]0.478888319985349[/C][C]0.239444159992674[/C][/ROW]
[ROW][C]255[/C][C]0.744735029668376[/C][C]0.510529940663248[/C][C]0.255264970331624[/C][/ROW]
[ROW][C]256[/C][C]0.717736284064212[/C][C]0.564527431871577[/C][C]0.282263715935788[/C][/ROW]
[ROW][C]257[/C][C]0.696220504262733[/C][C]0.607558991474534[/C][C]0.303779495737267[/C][/ROW]
[ROW][C]258[/C][C]0.670647839632317[/C][C]0.658704320735366[/C][C]0.329352160367683[/C][/ROW]
[ROW][C]259[/C][C]0.66767240520778[/C][C]0.664655189584439[/C][C]0.33232759479222[/C][/ROW]
[ROW][C]260[/C][C]0.657763041112159[/C][C]0.684473917775681[/C][C]0.342236958887841[/C][/ROW]
[ROW][C]261[/C][C]0.667233711601312[/C][C]0.665532576797375[/C][C]0.332766288398688[/C][/ROW]
[ROW][C]262[/C][C]0.669568372602333[/C][C]0.660863254795334[/C][C]0.330431627397667[/C][/ROW]
[ROW][C]263[/C][C]0.658887336014415[/C][C]0.68222532797117[/C][C]0.341112663985585[/C][/ROW]
[ROW][C]264[/C][C]0.666926618182742[/C][C]0.666146763634515[/C][C]0.333073381817258[/C][/ROW]
[ROW][C]265[/C][C]0.670883988734898[/C][C]0.658232022530204[/C][C]0.329116011265102[/C][/ROW]
[ROW][C]266[/C][C]0.715965432214435[/C][C]0.56806913557113[/C][C]0.284034567785565[/C][/ROW]
[ROW][C]267[/C][C]0.697038488967548[/C][C]0.605923022064904[/C][C]0.302961511032452[/C][/ROW]
[ROW][C]268[/C][C]0.667958485860806[/C][C]0.664083028278387[/C][C]0.332041514139194[/C][/ROW]
[ROW][C]269[/C][C]0.648328946117902[/C][C]0.703342107764197[/C][C]0.351671053882098[/C][/ROW]
[ROW][C]270[/C][C]0.620545880892096[/C][C]0.758908238215809[/C][C]0.379454119107904[/C][/ROW]
[ROW][C]271[/C][C]0.617941629956934[/C][C]0.764116740086133[/C][C]0.382058370043066[/C][/ROW]
[ROW][C]272[/C][C]0.614467779948246[/C][C]0.771064440103507[/C][C]0.385532220051754[/C][/ROW]
[ROW][C]273[/C][C]0.640374605578903[/C][C]0.719250788842195[/C][C]0.359625394421097[/C][/ROW]
[ROW][C]274[/C][C]0.662812748485169[/C][C]0.674374503029663[/C][C]0.337187251514831[/C][/ROW]
[ROW][C]275[/C][C]0.627150689974792[/C][C]0.745698620050417[/C][C]0.372849310025208[/C][/ROW]
[ROW][C]276[/C][C]0.603577998152728[/C][C]0.792844003694544[/C][C]0.396422001847272[/C][/ROW]
[ROW][C]277[/C][C]0.58917926983531[/C][C]0.82164146032938[/C][C]0.41082073016469[/C][/ROW]
[ROW][C]278[/C][C]0.622405741785789[/C][C]0.755188516428421[/C][C]0.377594258214211[/C][/ROW]
[ROW][C]279[/C][C]0.584298767974204[/C][C]0.831402464051592[/C][C]0.415701232025796[/C][/ROW]
[ROW][C]280[/C][C]0.561122827435848[/C][C]0.877754345128304[/C][C]0.438877172564152[/C][/ROW]
[ROW][C]281[/C][C]0.563126119255521[/C][C]0.873747761488958[/C][C]0.436873880744479[/C][/ROW]
[ROW][C]282[/C][C]0.531570069948461[/C][C]0.936859860103077[/C][C]0.468429930051539[/C][/ROW]
[ROW][C]283[/C][C]0.529786596032341[/C][C]0.940426807935319[/C][C]0.470213403967659[/C][/ROW]
[ROW][C]284[/C][C]0.532108780660196[/C][C]0.935782438679607[/C][C]0.467891219339804[/C][/ROW]
[ROW][C]285[/C][C]0.540402521019663[/C][C]0.919194957960674[/C][C]0.459597478980337[/C][/ROW]
[ROW][C]286[/C][C]0.572173744651594[/C][C]0.855652510696811[/C][C]0.427826255348406[/C][/ROW]
[ROW][C]287[/C][C]0.551897117231282[/C][C]0.896205765537435[/C][C]0.448102882768718[/C][/ROW]
[ROW][C]288[/C][C]0.540561116330049[/C][C]0.918877767339903[/C][C]0.459438883669951[/C][/ROW]
[ROW][C]289[/C][C]0.529473211508554[/C][C]0.941053576982891[/C][C]0.470526788491446[/C][/ROW]
[ROW][C]290[/C][C]0.498646640425905[/C][C]0.99729328085181[/C][C]0.501353359574095[/C][/ROW]
[ROW][C]291[/C][C]0.461273450752668[/C][C]0.922546901505336[/C][C]0.538726549247332[/C][/ROW]
[ROW][C]292[/C][C]0.435333256740867[/C][C]0.870666513481734[/C][C]0.564666743259133[/C][/ROW]
[ROW][C]293[/C][C]0.437858704305874[/C][C]0.875717408611749[/C][C]0.562141295694126[/C][/ROW]
[ROW][C]294[/C][C]0.419079938765639[/C][C]0.838159877531278[/C][C]0.580920061234361[/C][/ROW]
[ROW][C]295[/C][C]0.406942513955829[/C][C]0.813885027911659[/C][C]0.593057486044171[/C][/ROW]
[ROW][C]296[/C][C]0.377194919626846[/C][C]0.754389839253692[/C][C]0.622805080373154[/C][/ROW]
[ROW][C]297[/C][C]0.350736157283008[/C][C]0.701472314566016[/C][C]0.649263842716992[/C][/ROW]
[ROW][C]298[/C][C]0.372472500247106[/C][C]0.744945000494212[/C][C]0.627527499752894[/C][/ROW]
[ROW][C]299[/C][C]0.331218871807651[/C][C]0.662437743615302[/C][C]0.668781128192349[/C][/ROW]
[ROW][C]300[/C][C]0.319294360951282[/C][C]0.638588721902563[/C][C]0.680705639048718[/C][/ROW]
[ROW][C]301[/C][C]0.291102918575817[/C][C]0.582205837151635[/C][C]0.708897081424183[/C][/ROW]
[ROW][C]302[/C][C]0.265223935433243[/C][C]0.530447870866485[/C][C]0.734776064566757[/C][/ROW]
[ROW][C]303[/C][C]0.308926880344624[/C][C]0.617853760689248[/C][C]0.691073119655376[/C][/ROW]
[ROW][C]304[/C][C]0.283736977117249[/C][C]0.567473954234498[/C][C]0.716263022882751[/C][/ROW]
[ROW][C]305[/C][C]0.338920351487048[/C][C]0.677840702974096[/C][C]0.661079648512952[/C][/ROW]
[ROW][C]306[/C][C]0.299161502966082[/C][C]0.598323005932163[/C][C]0.700838497033919[/C][/ROW]
[ROW][C]307[/C][C]0.348766293884458[/C][C]0.697532587768916[/C][C]0.651233706115542[/C][/ROW]
[ROW][C]308[/C][C]0.320381349767654[/C][C]0.640762699535308[/C][C]0.679618650232346[/C][/ROW]
[ROW][C]309[/C][C]0.287039599865418[/C][C]0.574079199730836[/C][C]0.712960400134582[/C][/ROW]
[ROW][C]310[/C][C]0.283783740794672[/C][C]0.567567481589344[/C][C]0.716216259205328[/C][/ROW]
[ROW][C]311[/C][C]0.262048665587535[/C][C]0.524097331175071[/C][C]0.737951334412465[/C][/ROW]
[ROW][C]312[/C][C]0.255857748181907[/C][C]0.511715496363814[/C][C]0.744142251818093[/C][/ROW]
[ROW][C]313[/C][C]0.232481919005105[/C][C]0.46496383801021[/C][C]0.767518080994895[/C][/ROW]
[ROW][C]314[/C][C]0.198712248059631[/C][C]0.397424496119263[/C][C]0.801287751940369[/C][/ROW]
[ROW][C]315[/C][C]0.173532928696648[/C][C]0.347065857393296[/C][C]0.826467071303352[/C][/ROW]
[ROW][C]316[/C][C]0.148878521107246[/C][C]0.297757042214492[/C][C]0.851121478892754[/C][/ROW]
[ROW][C]317[/C][C]0.128617176486269[/C][C]0.257234352972538[/C][C]0.871382823513731[/C][/ROW]
[ROW][C]318[/C][C]0.108447319770479[/C][C]0.216894639540957[/C][C]0.891552680229521[/C][/ROW]
[ROW][C]319[/C][C]0.117389446663653[/C][C]0.234778893327307[/C][C]0.882610553336347[/C][/ROW]
[ROW][C]320[/C][C]0.116259318269159[/C][C]0.232518636538319[/C][C]0.883740681730841[/C][/ROW]
[ROW][C]321[/C][C]0.0912846198776814[/C][C]0.182569239755363[/C][C]0.908715380122319[/C][/ROW]
[ROW][C]322[/C][C]0.236024456661333[/C][C]0.472048913322665[/C][C]0.763975543338667[/C][/ROW]
[ROW][C]323[/C][C]0.278477087003256[/C][C]0.556954174006513[/C][C]0.721522912996744[/C][/ROW]
[ROW][C]324[/C][C]0.288551144697319[/C][C]0.577102289394639[/C][C]0.711448855302681[/C][/ROW]
[ROW][C]325[/C][C]0.243737551029065[/C][C]0.48747510205813[/C][C]0.756262448970935[/C][/ROW]
[ROW][C]326[/C][C]0.399812163882973[/C][C]0.799624327765945[/C][C]0.600187836117027[/C][/ROW]
[ROW][C]327[/C][C]0.331966973459979[/C][C]0.663933946919958[/C][C]0.668033026540021[/C][/ROW]
[ROW][C]328[/C][C]0.282246218931752[/C][C]0.564492437863504[/C][C]0.717753781068248[/C][/ROW]
[ROW][C]329[/C][C]0.217550382367153[/C][C]0.435100764734307[/C][C]0.782449617632847[/C][/ROW]
[ROW][C]330[/C][C]0.162660437585203[/C][C]0.325320875170406[/C][C]0.837339562414797[/C][/ROW]
[ROW][C]331[/C][C]0.263603001559569[/C][C]0.527206003119138[/C][C]0.736396998440431[/C][/ROW]
[ROW][C]332[/C][C]0.265094509530334[/C][C]0.530189019060668[/C][C]0.734905490469666[/C][/ROW]
[ROW][C]333[/C][C]0.828110203463887[/C][C]0.343779593072225[/C][C]0.171889796536113[/C][/ROW]
[ROW][C]334[/C][C]0.768647753812807[/C][C]0.462704492374386[/C][C]0.231352246187193[/C][/ROW]
[ROW][C]335[/C][C]0.700756178251723[/C][C]0.598487643496554[/C][C]0.299243821748277[/C][/ROW]
[ROW][C]336[/C][C]0.85435338107393[/C][C]0.29129323785214[/C][C]0.14564661892607[/C][/ROW]
[ROW][C]337[/C][C]0.822392679106235[/C][C]0.355214641787531[/C][C]0.177607320893765[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=149922&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=149922&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
150.02382921854588160.04765843709176320.976170781454118
160.006466569898946720.01293313979789340.993533430101053
170.00147074078890430.002941481577808590.998529259211096
180.001004336619281480.002008673238562960.998995663380719
190.0002619061085473320.0005238122170946650.999738093891453
200.001049676297994710.002099352595989420.998950323702005
210.0004949813878471920.0009899627756943830.999505018612153
220.000151010072970080.000302020145940160.99984898992703
230.0002110249781316680.0004220499562633350.999788975021868
240.005088310628949880.01017662125789980.99491168937105
250.003007549483538310.006015098967076630.996992450516462
260.001612371399997580.003224742799995170.998387628600002
270.0007309581456383690.001461916291276740.999269041854362
280.0003257107128327420.0006514214256654840.999674289287167
290.000791695317765150.00158339063553030.999208304682235
300.0004971315803849250.0009942631607698490.999502868419615
310.01390789214663440.02781578429326880.986092107853366
320.01102514233988510.02205028467977020.988974857660115
330.006723315578513250.01344663115702650.993276684421487
340.1428699538485870.2857399076971750.857130046151413
350.1169725327525940.2339450655051880.883027467247406
360.1005209456560330.2010418913120670.899479054343967
370.0755352459167310.1510704918334620.924464754083269
380.05641192207926270.1128238441585250.943588077920737
390.04098682229922950.08197364459845910.95901317770077
400.03093285539226020.06186571078452040.96906714460774
410.02384752309205130.04769504618410270.976152476907949
420.01680668896164060.03361337792328130.983193311038359
430.0155826362788620.0311652725577240.984417363721138
440.01138528791855750.02277057583711510.988614712081442
450.007813258303531160.01562651660706230.992186741696469
460.007006070957148410.01401214191429680.992993929042852
470.004864987816368460.009729975632736920.995135012183632
480.003658297622525080.007316595245050170.996341702377475
490.002462812782639620.004925625565279230.99753718721736
500.001734316458722660.003468632917445320.998265683541277
510.001122142523355480.002244285046710960.998877857476644
520.0007223543089815090.001444708617963020.999277645691019
530.0004713314290468330.0009426628580936650.999528668570953
540.0003148637672011530.0006297275344023060.999685136232799
550.0003310671879114620.0006621343758229250.999668932812089
560.0003330630048754720.0006661260097509430.999666936995125
570.0002170702603202030.0004341405206404050.99978292973968
580.0001846808152253990.0003693616304507980.999815319184775
590.0001178074746235370.0002356149492470740.999882192525376
607.76189475245051e-050.000155237895049010.999922381052475
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3370.8223926791062350.3552146417875310.177607320893765







Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level1510.46749226006192NOK
5% type I error level1850.572755417956656NOK
10% type I error level2020.625386996904025NOK

\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 & 151 & 0.46749226006192 & NOK \tabularnewline
5% type I error level & 185 & 0.572755417956656 & NOK \tabularnewline
10% type I error level & 202 & 0.625386996904025 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=149922&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]151[/C][C]0.46749226006192[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]185[/C][C]0.572755417956656[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]202[/C][C]0.625386996904025[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=149922&T=6

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Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level1510.46749226006192NOK
5% type I error level1850.572755417956656NOK
10% type I error level2020.625386996904025NOK



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