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Description of Statistical Computation

Author's title

Author*The author of this computation has been verified*
R Software Modulerwasp_multipleregression.wasp
Title produced by softwareMultiple Regression
Date of computationTue, 15 Jan 2013 14:56:35 -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/2013/Jan/15/t13582798542qesj8rhzw7ihei.htm/, Retrieved Sun, 28 Apr 2024 08:55:54 +0000
Statistical Computations at FreeStatistics.org, Office for Research Development and Education, URL https://freestatistics.org/blog/index.php?pk=205530, Retrieved Sun, 28 Apr 2024 08:55:54 +0000
QR Codes:

Original text written by user:
IsPrivate?No (this computation is public)
User-defined keywords
Estimated Impact131

Tree of Dependent Computations

Family? (F = Feedback message, R = changed R code, M = changed R Module, P = changed Parameters, D = changed Data)
-     [Multiple Regression] [] [2012-12-02 10:36:10] [b98453cac15ba1066b407e146608df68]
- R  D  [Multiple Regression] [] [2013-01-15 19:35:02] [456f9f31a5baae2eb9a0b13ee35c0d42]
-    D    [Multiple Regression] [] [2013-01-15 19:45:52] [456f9f31a5baae2eb9a0b13ee35c0d42]
-    D        [Multiple Regression] [] [2013-01-15 19:56:35] [c8e18a68d7e55abb9d5b5bbd2b98426e] [Current]
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Dataset

Dataseries X:
Download CSV
Histogram
Boxplots 
102	122	88	1
99	114	106	1
97	140	70	1
82	143	70	1
77	122	56	1
65	127	50	1
64	113	48	1
62	118	71	1
62	161	61	1
62	134	66	1
61	96	80	1
59	104	37	1
57	135	53	1
56	110	39	1
54	128	40	1
54	142	59	1
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52	94	33	1
51	135	36	1
51	121	57	1
51	103	38	1
50	118	98	1
50	127	43	1
50	116	73	1
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45	106	53	1
45	137	47	1
45	100	42	1
44	102	29	1
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42	130	40	1
42	144	41	1
42	120	37	1
42	91	25	1
42	100	27	1
42	134	61	1
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41	128	35	1
41	124	55	1
41	115	47	1
41	123	49	1
41	117	38	1
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40	78	52	1
39	120	34	1
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38	142	43	1
38	94	40	1
36	114	38	1
36	108	33	1
35	119	27	1
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35	86	44	1
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34	119	50	1
34	117	31	1
34	117	33	1
33	76	37	1
33	119	48	1
33	119	33	1
32	124	40	1
32	116	21	1
32	118	33	1
31	102	41	1
31	116	35	1
30	103	60	1
30	117	30	1
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30	122	26	1
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19	67	18	1
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17	69	27	1
17	88	28	1
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16	120	21	1
5	3	9	1
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39	57	82	0
38	71	61	0
38	105	72	0
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4	1	11	0

Tables (Output of Computation)





Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time12 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net

\begin{tabular}{lllllllll}
\hline
Summary of computational transaction \tabularnewline
Raw Input & view raw input (R code)  \tabularnewline
Raw Output & view raw output of R engine  \tabularnewline
Computing time & 12 seconds \tabularnewline
R Server & 'Gertrude Mary Cox' @ cox.wessa.net \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=205530&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]12 seconds[/C][/ROW]
[ROW][C]R Server[/C][C]'Gertrude Mary Cox' @ cox.wessa.net[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=205530&T=0

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=205530&T=0

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


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

Summary of computational transaction
Raw Inputview raw input (R code)
Raw Outputview raw output of R engine
Computing time12 seconds
R Server'Gertrude Mary Cox' @ cox.wessa.net






Multiple Linear Regression - Estimated Regression Equation
lfm[t] = + 34.4159415237755 + 0.535850066716772hours[t] + 0.371708700541685blogs[t] + 38.2253750562312uk[t] + e[t]

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Estimated Regression Equation \tabularnewline
lfm[t] =  +  34.4159415237755 +  0.535850066716772hours[t] +  0.371708700541685blogs[t] +  38.2253750562312uk[t]  + e[t] \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=205530&T=1

[TABLE]
[ROW][C]Multiple Linear Regression - Estimated Regression Equation[/C][/ROW]
[ROW][C]lfm[t] =  +  34.4159415237755 +  0.535850066716772hours[t] +  0.371708700541685blogs[t] +  38.2253750562312uk[t]  + e[t][/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=205530&T=1

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=205530&T=1

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


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

Multiple Linear Regression - Estimated Regression Equation
lfm[t] = + 34.4159415237755 + 0.535850066716772hours[t] + 0.371708700541685blogs[t] + 38.2253750562312uk[t] + e[t]






Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)34.41594152377554.0604828.475800
hours0.5358500667167720.1167024.59167e-063e-06
blogs0.3717087005416850.0922044.03147.3e-053.6e-05
uk38.22537505623123.5859410.659800

\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) & 34.4159415237755 & 4.060482 & 8.4758 & 0 & 0 \tabularnewline
hours & 0.535850066716772 & 0.116702 & 4.5916 & 7e-06 & 3e-06 \tabularnewline
blogs & 0.371708700541685 & 0.092204 & 4.0314 & 7.3e-05 & 3.6e-05 \tabularnewline
uk & 38.2253750562312 & 3.58594 & 10.6598 & 0 & 0 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=205530&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]34.4159415237755[/C][C]4.060482[/C][C]8.4758[/C][C]0[/C][C]0[/C][/ROW]
[ROW][C]hours[/C][C]0.535850066716772[/C][C]0.116702[/C][C]4.5916[/C][C]7e-06[/C][C]3e-06[/C][/ROW]
[ROW][C]blogs[/C][C]0.371708700541685[/C][C]0.092204[/C][C]4.0314[/C][C]7.3e-05[/C][C]3.6e-05[/C][/ROW]
[ROW][C]uk[/C][C]38.2253750562312[/C][C]3.58594[/C][C]10.6598[/C][C]0[/C][C]0[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=205530&T=2

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=205530&T=2

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


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

Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STATH0: parameter = 02-tail p-value1-tail p-value
(Intercept)34.41594152377554.0604828.475800
hours0.5358500667167720.1167024.59167e-063e-06
blogs0.3717087005416850.0922044.03147.3e-053.6e-05
uk38.22537505623123.5859410.659800






Multiple Linear Regression - Regression Statistics
Multiple R0.706970396705826
R-squared0.499807141818393
Adjusted R-squared0.494144581159733
F-TEST (value)88.2652163829878
F-TEST (DF numerator)3
F-TEST (DF denominator)265
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation25.4959855203662
Sum Squared Residuals172261.998578501

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Regression Statistics \tabularnewline
Multiple R & 0.706970396705826 \tabularnewline
R-squared & 0.499807141818393 \tabularnewline
Adjusted R-squared & 0.494144581159733 \tabularnewline
F-TEST (value) & 88.2652163829878 \tabularnewline
F-TEST (DF numerator) & 3 \tabularnewline
F-TEST (DF denominator) & 265 \tabularnewline
p-value & 0 \tabularnewline
Multiple Linear Regression - Residual Statistics \tabularnewline
Residual Standard Deviation & 25.4959855203662 \tabularnewline
Sum Squared Residuals & 172261.998578501 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=205530&T=3

[TABLE]
[ROW][C]Multiple Linear Regression - Regression Statistics[/C][/ROW]
[ROW][C]Multiple R[/C][C]0.706970396705826[/C][/ROW]
[ROW][C]R-squared[/C][C]0.499807141818393[/C][/ROW]
[ROW][C]Adjusted R-squared[/C][C]0.494144581159733[/C][/ROW]
[ROW][C]F-TEST (value)[/C][C]88.2652163829878[/C][/ROW]
[ROW][C]F-TEST (DF numerator)[/C][C]3[/C][/ROW]
[ROW][C]F-TEST (DF denominator)[/C][C]265[/C][/ROW]
[ROW][C]p-value[/C][C]0[/C][/ROW]
[ROW][C]Multiple Linear Regression - Residual Statistics[/C][/ROW]
[ROW][C]Residual Standard Deviation[/C][C]25.4959855203662[/C][/ROW]
[ROW][C]Sum Squared Residuals[/C][C]172261.998578501[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=205530&T=3

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=205530&T=3

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


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

Multiple Linear Regression - Regression Statistics
Multiple R0.706970396705826
R-squared0.499807141818393
Adjusted R-squared0.494144581159733
F-TEST (value)88.2652163829878
F-TEST (DF numerator)3
F-TEST (DF denominator)265
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation25.4959855203662
Sum Squared Residuals172261.998578501






Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
1122160.008389032786-38.0083890327856
2114165.091595442386-51.0915954423856
3140150.638382089451-10.6383820894514
4143142.60063108870.399368911300094
5122134.717458947532-12.7174589475324
6127126.0570059436810.942994056318966
7113124.777738475881-11.7777384758809
8118132.255338454906-14.2553384549061
9161128.53825144948932.4617485505107
10134130.3967949521983.60320504780232
1196135.064866693064-39.0648666930645
12104118.009692436338-14.0096924363385
13135122.88533151157212.1146684884281
14110117.145559637272-7.14555963727156
15128116.4455682043811.5544317956203
16142123.50803351467218.4919664853283
17117116.6531355387460.346864461253699
1894112.771907167154-18.7719071671544
19135113.35118320206321.6488167979374
20121121.157065913438-0.157065913438029
21103114.094600603146-11.094600603146
22118135.86127256893-17.8612725689303
23127115.41729403913811.5827059608623
24116126.568555055388-10.5685550553882
25129118.22682227729610.7731777227039
26115118.598530977838-3.59853097783775
27135117.85511357675417.1448864232456
28133110.25679819974622.7432018002544
29113114.345593905704-1.34559390570413
30111117.526830844404-6.52683084440421
3192116.411704742779-24.4117047427792
32118115.8758546760622.12414532393762
33134118.10610687931315.8938931206875
34106116.455130710971-10.4551307109707
35137114.22487850772122.7751214922794
36100112.366335005012-12.3663350050121
37102106.998271831253-4.99827183125346
38134115.75513927807918.2448607219212
39130110.01536740377819.9846325962216
40144110.3870761043233.6129238956799
41120108.90024130215311.0997586978466
4291104.439736895653-13.4397368956532
43100105.183154296737-5.18315429673654
44134117.82125011515416.1787498848462
45161114.68343914464546.3165608553547
46128107.62097383435320.3790261656468
47124115.0551478451878.94485215481305
48115112.0814782408532.91852175914653
49123112.82489564193710.1751043580632
50117108.7360999359788.26390006402169
51111113.940021743562-2.94002174356189
52146107.08512376763638.9148762323635
53101113.404171676845-12.4041716768451
54131114.14758907792916.8524109220715
55122108.94366727034513.0563327296551
5678113.404171676845-35.4041716768451
57120106.17756500037813.822434999622
58115112.4966129095872.50338709041334
59142108.98709323853633.0129067614636
6094107.871967136911-13.8719671369114
61114106.0568496023947.94315039760555
62108104.1983060996863.80169390031398
63119101.43220382971917.5677961702809
64117104.03416473351112.9658352664891
6586107.751251738928-21.7512517389278
66138108.49466914001129.5053308599888
67119109.4456538754619.55434612453888
68117102.38318856516914.6168114348309
69117103.12660596625213.8733940337475
7076104.077590701702-28.0775907017025
71119108.16638640766110.833613592339
72119102.59075589953616.4092441004643
73124104.65686673661119.3431332633893
7411697.594401426318718.4055985736813
75118102.05490583281915.9450941671811
76102104.492725370436-2.49272537043565
77116102.26247316718613.7375268328145
78103111.019340614011-8.01934061401088
7911799.868079597760317.1319204022397
80108105.4437101058862.55628989411439
8112298.381244795593623.6187552044064
8290103.421025237002-13.4210252370021
83133105.48713607407727.5128639259229
8411691.362205453493124.6377945465069
85110100.1190729003189.88092709968155
869095.6585684938182-5.65856849381824
877497.8888206970684-23.8888206970683
887592.8924662238514-17.8924662238514
8910799.04737276688497.95262723311509
9090104.62300327501-14.6230032750102
919698.3039553658015-2.30395536580154
9211594.051018293667920.9489817063321
939193.6793095931262-2.67930959312624
9477104.29472054266-27.29472054266
9510899.09079873507648.90920126492358
968396.8605465318263-13.8605465318263
977795.3737117296596-18.3737117296596
9899100.949342237785-1.94934223778485
9911596.324696465109618.6753035348905
1009997.43982256673461.5601774332654
10110693.722735561317712.2772644386823
1027789.6339398553592-12.6339398553592
10311589.677365823550725.3226341764493
1046789.5132244573756-22.5132244573756
105887.2829722541255-79.2829722541255
1066991.7869026288173-22.7869026288173
1078892.1586113293589-4.15861132935895
10810785.675422053975221.3245779460248
10912089.020800358850430.9791996411496
110378.6659452184657-75.6659452184657
111178.8735125528323-77.8735125528323
112075.363992881782-75.363992881782
113111159.268217691719-48.2682176917188
11469143.747690770114-74.7476907701144
115116131.775722922988-15.7757229229884
116103114.063983201562-11.0639832015621
117139113.0114080813125.9885919186896
118135118.42289722326116.5771027767394
119113108.845322945564.15467705444014
1209994.76381829316734.23618170683266
12176105.258513844718-29.2585138447175
12211094.729954831566815.2700451684332
12312199.977302607341921.0226973926581
12495105.01708304875-10.0170830487504
1256691.1431457307245-25.1431457307245
126111106.7549111534754.24508884652476
1277784.8675237897073-7.86752378970735
128101108.285171923833-7.28517192383349
12910895.733928041799212.2660719582008
13013591.852699670207343.1473003297927
1317094.4546605739991-24.4546605739991
13212484.626092993740239.3739070062598
1339291.89612563839880.103874361601193
13410493.011251740023910.9887482599761
13511389.130023368431923.8699766315681
1369594.16980380984040.830196190159571
1378985.248794996843.75120500316001
1388383.9695275290399-0.969527529039853
1399681.20342525907314.796574740927
14095104.249364692657-9.24936469265743
14111092.354686275323517.6453137246765
14210694.956647179115311.0433528208847
1437872.11827507989755.88172492010255
14411584.756370898314730.2436291016853
1457479.9241577912728-5.92415779127283
1469386.45077303484816.54922696515193
1478879.01659902401448.98340097598562
14810492.977388278423311.0226117215767
1498682.03369459653943.96630540346063
15010474.971229286247429.0287707137526
1519980.382718428197518.6172815718025
15210181.333703163647519.6662968363525
1535379.4751596609391-26.4751596609391
1549680.961994463105815.0380055368942
1555873.5278204522721-15.5278204522721
15611782.077120564730934.9228794352691
1578282.8205379658143-0.820537965814246
1585785.7942075701477-28.7942075701477
1597177.4524747920556-6.45247479205557
16010581.541270498014123.4587295019859
1616083.3998140007225-23.3998140007225
1627778.5676008936806-1.56760089368063
1637362.791694104754810.2083058952452
1647868.73903331342179.26096668657826
1658186.5810509394226-5.58105093942261
16610170.805144150496830.1948558495032
16711878.239318161330539.7606818386695
1685974.8939398564553-15.8939398564553
16910171.548561551580129.4514384484199
1702281.5846964662056-59.5846964662056
1717766.716348444538210.2836515554618
17210072.871254987571827.1287450124282
1733975.4732158913636-36.4732158913636
1744260.0690178029794-18.0690178029794
1758077.16761802789692.83238197210309
1764865.272939610563-17.272939610563
17713182.371539835480548.6284601645195
1784676.0524919262719-30.0524919262719
1798969.197593950346419.8024060496536
1805159.5331677362626-8.53316773626264
18110879.233728864971928.7662711350281
1828673.28638965630512.713610343695
18310576.260059260638528.7399407393615
1848578.11860276334696.88139723665312
18510371.263704787421531.7362952125785
1868373.86566569121339.13433430878674
1877764.201239477129512.7987605228705
1882658.2539002684625-32.2539002684625
1897369.77686998525473.22313001474527
1904261.0634285066209-19.0634285066209
1917167.75418511637123.24581488362879
19210554.372671896870650.6273281031294
1937359.040743637737413.9592563622626
1949873.165674258321424.8343257416786
19510874.860076394854733.1399236051453
1965776.7186198975632-19.7186198975632
1973771.5146980899796-34.5146980899796
1987069.86372192163770.13627807836225
1997361.686130509720711.3138694902793
2004764.2880914135125-17.2880914135125
2017370.60713932272112.39286067727888
2029172.093974124887918.9060258751121
20311081.758400338971728.2415996610283
2047873.04495886033784.95504113966217
2059280.479132871171511.5208671288285
2065280.4791328711715-28.4791328711715
2078868.420313087662519.5796869123375
20810057.26905207141242.730947928588
2093359.8710129752038-26.8710129752038
2104272.1374000930794-30.1374000930794
2118173.83180222961277.16819777038729
2126748.555610592778118.4443894072219
213857.3124780396035-49.3124780396035
2144658.0558954406869-12.0558954406869
2158372.552534761812610.4474652381874
2168762.888108547728824.1118914522712
2178276.26962176722945.73037823277059
2186352.108556232019910.8914437679801
2192766.6051955531456-39.6051955531456
2201456.0332105718033-42.0332105718033
2218360.865423678845222.1345763211548
22216861.6088410799286106.391158920071
2236762.3522584810124.64774151898801
2242161.6088410799286-40.6088410799286
2255574.2469368983459-19.2469368983459
2265473.8752281978042-19.8752281978042
22711867.020330221878850.9796697781212
2286947.319769093169521.6802309068305
2297749.014171229702827.9858287702972
2307270.94498456166231.05501543833775
2315356.0766365399949-3.07663653999485
2324059.0503061443283-19.0503061443283
23310259.257873478694942.7421265213051
2342565.5769213879036-40.5769213879036
2353158.5144560776116-27.5144560776116
2367751.451990767319625.5480092326804
2373865.2052126873619-27.2052126873619
2382365.7844887222702-42.7844887222702
2399155.748353807644735.2516461923553
2405859.4654408130615-1.46544081306154
2414257.8144646447197-15.8144646447197
2424461.1598429495949-17.1598429495949
2435855.95592114201132.04407885798872
2443556.6993385430947-21.6993385430947
2458852.238834136594435.7611658634056
2462565.45620598992-40.45620598992
2473955.4200710752945-16.4200710752945
2484849.6802992009941-1.68029920099415
2496453.39738620641110.602613793589
2506555.09178834294439.90821165705566
2519553.233244840235941.7667551597641
2522951.3747013375275-22.3747013375275
253251.3747013375275-49.3747013375275
2548350.46714257026932.532857429731
2551157.365466514386-46.365466514386
2561651.7898360062607-35.7898360062607
257947.9086076346688-38.9086076346688
2584646.2576314663269-0.257631466326924
2594155.1786402793274-14.1786402793274
2601444.9783639985268-30.9783639985268
2616346.836907501235216.1630924987648
262947.9520336028603-38.9520336028603
263042.7481117952767-42.7481117952767
2645850.76156184101877.23843815898134
2651842.0481203623848-24.0481203623848
2664245.39349866726-3.39349866725998
2672641.512270295668-15.512270295668
2683840.0254354935013-2.02543549350131
269140.6481374966011-39.6481374966011

\begin{tabular}{lllllllll}
\hline
Multiple Linear Regression - Actuals, Interpolation, and Residuals \tabularnewline
Time or Index & Actuals & InterpolationForecast & ResidualsPrediction Error \tabularnewline
1 & 122 & 160.008389032786 & -38.0083890327856 \tabularnewline
2 & 114 & 165.091595442386 & -51.0915954423856 \tabularnewline
3 & 140 & 150.638382089451 & -10.6383820894514 \tabularnewline
4 & 143 & 142.6006310887 & 0.399368911300094 \tabularnewline
5 & 122 & 134.717458947532 & -12.7174589475324 \tabularnewline
6 & 127 & 126.057005943681 & 0.942994056318966 \tabularnewline
7 & 113 & 124.777738475881 & -11.7777384758809 \tabularnewline
8 & 118 & 132.255338454906 & -14.2553384549061 \tabularnewline
9 & 161 & 128.538251449489 & 32.4617485505107 \tabularnewline
10 & 134 & 130.396794952198 & 3.60320504780232 \tabularnewline
11 & 96 & 135.064866693064 & -39.0648666930645 \tabularnewline
12 & 104 & 118.009692436338 & -14.0096924363385 \tabularnewline
13 & 135 & 122.885331511572 & 12.1146684884281 \tabularnewline
14 & 110 & 117.145559637272 & -7.14555963727156 \tabularnewline
15 & 128 & 116.44556820438 & 11.5544317956203 \tabularnewline
16 & 142 & 123.508033514672 & 18.4919664853283 \tabularnewline
17 & 117 & 116.653135538746 & 0.346864461253699 \tabularnewline
18 & 94 & 112.771907167154 & -18.7719071671544 \tabularnewline
19 & 135 & 113.351183202063 & 21.6488167979374 \tabularnewline
20 & 121 & 121.157065913438 & -0.157065913438029 \tabularnewline
21 & 103 & 114.094600603146 & -11.094600603146 \tabularnewline
22 & 118 & 135.86127256893 & -17.8612725689303 \tabularnewline
23 & 127 & 115.417294039138 & 11.5827059608623 \tabularnewline
24 & 116 & 126.568555055388 & -10.5685550553882 \tabularnewline
25 & 129 & 118.226822277296 & 10.7731777227039 \tabularnewline
26 & 115 & 118.598530977838 & -3.59853097783775 \tabularnewline
27 & 135 & 117.855113576754 & 17.1448864232456 \tabularnewline
28 & 133 & 110.256798199746 & 22.7432018002544 \tabularnewline
29 & 113 & 114.345593905704 & -1.34559390570413 \tabularnewline
30 & 111 & 117.526830844404 & -6.52683084440421 \tabularnewline
31 & 92 & 116.411704742779 & -24.4117047427792 \tabularnewline
32 & 118 & 115.875854676062 & 2.12414532393762 \tabularnewline
33 & 134 & 118.106106879313 & 15.8938931206875 \tabularnewline
34 & 106 & 116.455130710971 & -10.4551307109707 \tabularnewline
35 & 137 & 114.224878507721 & 22.7751214922794 \tabularnewline
36 & 100 & 112.366335005012 & -12.3663350050121 \tabularnewline
37 & 102 & 106.998271831253 & -4.99827183125346 \tabularnewline
38 & 134 & 115.755139278079 & 18.2448607219212 \tabularnewline
39 & 130 & 110.015367403778 & 19.9846325962216 \tabularnewline
40 & 144 & 110.38707610432 & 33.6129238956799 \tabularnewline
41 & 120 & 108.900241302153 & 11.0997586978466 \tabularnewline
42 & 91 & 104.439736895653 & -13.4397368956532 \tabularnewline
43 & 100 & 105.183154296737 & -5.18315429673654 \tabularnewline
44 & 134 & 117.821250115154 & 16.1787498848462 \tabularnewline
45 & 161 & 114.683439144645 & 46.3165608553547 \tabularnewline
46 & 128 & 107.620973834353 & 20.3790261656468 \tabularnewline
47 & 124 & 115.055147845187 & 8.94485215481305 \tabularnewline
48 & 115 & 112.081478240853 & 2.91852175914653 \tabularnewline
49 & 123 & 112.824895641937 & 10.1751043580632 \tabularnewline
50 & 117 & 108.736099935978 & 8.26390006402169 \tabularnewline
51 & 111 & 113.940021743562 & -2.94002174356189 \tabularnewline
52 & 146 & 107.085123767636 & 38.9148762323635 \tabularnewline
53 & 101 & 113.404171676845 & -12.4041716768451 \tabularnewline
54 & 131 & 114.147589077929 & 16.8524109220715 \tabularnewline
55 & 122 & 108.943667270345 & 13.0563327296551 \tabularnewline
56 & 78 & 113.404171676845 & -35.4041716768451 \tabularnewline
57 & 120 & 106.177565000378 & 13.822434999622 \tabularnewline
58 & 115 & 112.496612909587 & 2.50338709041334 \tabularnewline
59 & 142 & 108.987093238536 & 33.0129067614636 \tabularnewline
60 & 94 & 107.871967136911 & -13.8719671369114 \tabularnewline
61 & 114 & 106.056849602394 & 7.94315039760555 \tabularnewline
62 & 108 & 104.198306099686 & 3.80169390031398 \tabularnewline
63 & 119 & 101.432203829719 & 17.5677961702809 \tabularnewline
64 & 117 & 104.034164733511 & 12.9658352664891 \tabularnewline
65 & 86 & 107.751251738928 & -21.7512517389278 \tabularnewline
66 & 138 & 108.494669140011 & 29.5053308599888 \tabularnewline
67 & 119 & 109.445653875461 & 9.55434612453888 \tabularnewline
68 & 117 & 102.383188565169 & 14.6168114348309 \tabularnewline
69 & 117 & 103.126605966252 & 13.8733940337475 \tabularnewline
70 & 76 & 104.077590701702 & -28.0775907017025 \tabularnewline
71 & 119 & 108.166386407661 & 10.833613592339 \tabularnewline
72 & 119 & 102.590755899536 & 16.4092441004643 \tabularnewline
73 & 124 & 104.656866736611 & 19.3431332633893 \tabularnewline
74 & 116 & 97.5944014263187 & 18.4055985736813 \tabularnewline
75 & 118 & 102.054905832819 & 15.9450941671811 \tabularnewline
76 & 102 & 104.492725370436 & -2.49272537043565 \tabularnewline
77 & 116 & 102.262473167186 & 13.7375268328145 \tabularnewline
78 & 103 & 111.019340614011 & -8.01934061401088 \tabularnewline
79 & 117 & 99.8680795977603 & 17.1319204022397 \tabularnewline
80 & 108 & 105.443710105886 & 2.55628989411439 \tabularnewline
81 & 122 & 98.3812447955936 & 23.6187552044064 \tabularnewline
82 & 90 & 103.421025237002 & -13.4210252370021 \tabularnewline
83 & 133 & 105.487136074077 & 27.5128639259229 \tabularnewline
84 & 116 & 91.3622054534931 & 24.6377945465069 \tabularnewline
85 & 110 & 100.119072900318 & 9.88092709968155 \tabularnewline
86 & 90 & 95.6585684938182 & -5.65856849381824 \tabularnewline
87 & 74 & 97.8888206970684 & -23.8888206970683 \tabularnewline
88 & 75 & 92.8924662238514 & -17.8924662238514 \tabularnewline
89 & 107 & 99.0473727668849 & 7.95262723311509 \tabularnewline
90 & 90 & 104.62300327501 & -14.6230032750102 \tabularnewline
91 & 96 & 98.3039553658015 & -2.30395536580154 \tabularnewline
92 & 115 & 94.0510182936679 & 20.9489817063321 \tabularnewline
93 & 91 & 93.6793095931262 & -2.67930959312624 \tabularnewline
94 & 77 & 104.29472054266 & -27.29472054266 \tabularnewline
95 & 108 & 99.0907987350764 & 8.90920126492358 \tabularnewline
96 & 83 & 96.8605465318263 & -13.8605465318263 \tabularnewline
97 & 77 & 95.3737117296596 & -18.3737117296596 \tabularnewline
98 & 99 & 100.949342237785 & -1.94934223778485 \tabularnewline
99 & 115 & 96.3246964651096 & 18.6753035348905 \tabularnewline
100 & 99 & 97.4398225667346 & 1.5601774332654 \tabularnewline
101 & 106 & 93.7227355613177 & 12.2772644386823 \tabularnewline
102 & 77 & 89.6339398553592 & -12.6339398553592 \tabularnewline
103 & 115 & 89.6773658235507 & 25.3226341764493 \tabularnewline
104 & 67 & 89.5132244573756 & -22.5132244573756 \tabularnewline
105 & 8 & 87.2829722541255 & -79.2829722541255 \tabularnewline
106 & 69 & 91.7869026288173 & -22.7869026288173 \tabularnewline
107 & 88 & 92.1586113293589 & -4.15861132935895 \tabularnewline
108 & 107 & 85.6754220539752 & 21.3245779460248 \tabularnewline
109 & 120 & 89.0208003588504 & 30.9791996411496 \tabularnewline
110 & 3 & 78.6659452184657 & -75.6659452184657 \tabularnewline
111 & 1 & 78.8735125528323 & -77.8735125528323 \tabularnewline
112 & 0 & 75.363992881782 & -75.363992881782 \tabularnewline
113 & 111 & 159.268217691719 & -48.2682176917188 \tabularnewline
114 & 69 & 143.747690770114 & -74.7476907701144 \tabularnewline
115 & 116 & 131.775722922988 & -15.7757229229884 \tabularnewline
116 & 103 & 114.063983201562 & -11.0639832015621 \tabularnewline
117 & 139 & 113.01140808131 & 25.9885919186896 \tabularnewline
118 & 135 & 118.422897223261 & 16.5771027767394 \tabularnewline
119 & 113 & 108.84532294556 & 4.15467705444014 \tabularnewline
120 & 99 & 94.7638182931673 & 4.23618170683266 \tabularnewline
121 & 76 & 105.258513844718 & -29.2585138447175 \tabularnewline
122 & 110 & 94.7299548315668 & 15.2700451684332 \tabularnewline
123 & 121 & 99.9773026073419 & 21.0226973926581 \tabularnewline
124 & 95 & 105.01708304875 & -10.0170830487504 \tabularnewline
125 & 66 & 91.1431457307245 & -25.1431457307245 \tabularnewline
126 & 111 & 106.754911153475 & 4.24508884652476 \tabularnewline
127 & 77 & 84.8675237897073 & -7.86752378970735 \tabularnewline
128 & 101 & 108.285171923833 & -7.28517192383349 \tabularnewline
129 & 108 & 95.7339280417992 & 12.2660719582008 \tabularnewline
130 & 135 & 91.8526996702073 & 43.1473003297927 \tabularnewline
131 & 70 & 94.4546605739991 & -24.4546605739991 \tabularnewline
132 & 124 & 84.6260929937402 & 39.3739070062598 \tabularnewline
133 & 92 & 91.8961256383988 & 0.103874361601193 \tabularnewline
134 & 104 & 93.0112517400239 & 10.9887482599761 \tabularnewline
135 & 113 & 89.1300233684319 & 23.8699766315681 \tabularnewline
136 & 95 & 94.1698038098404 & 0.830196190159571 \tabularnewline
137 & 89 & 85.24879499684 & 3.75120500316001 \tabularnewline
138 & 83 & 83.9695275290399 & -0.969527529039853 \tabularnewline
139 & 96 & 81.203425259073 & 14.796574740927 \tabularnewline
140 & 95 & 104.249364692657 & -9.24936469265743 \tabularnewline
141 & 110 & 92.3546862753235 & 17.6453137246765 \tabularnewline
142 & 106 & 94.9566471791153 & 11.0433528208847 \tabularnewline
143 & 78 & 72.1182750798975 & 5.88172492010255 \tabularnewline
144 & 115 & 84.7563708983147 & 30.2436291016853 \tabularnewline
145 & 74 & 79.9241577912728 & -5.92415779127283 \tabularnewline
146 & 93 & 86.4507730348481 & 6.54922696515193 \tabularnewline
147 & 88 & 79.0165990240144 & 8.98340097598562 \tabularnewline
148 & 104 & 92.9773882784233 & 11.0226117215767 \tabularnewline
149 & 86 & 82.0336945965394 & 3.96630540346063 \tabularnewline
150 & 104 & 74.9712292862474 & 29.0287707137526 \tabularnewline
151 & 99 & 80.3827184281975 & 18.6172815718025 \tabularnewline
152 & 101 & 81.3337031636475 & 19.6662968363525 \tabularnewline
153 & 53 & 79.4751596609391 & -26.4751596609391 \tabularnewline
154 & 96 & 80.9619944631058 & 15.0380055368942 \tabularnewline
155 & 58 & 73.5278204522721 & -15.5278204522721 \tabularnewline
156 & 117 & 82.0771205647309 & 34.9228794352691 \tabularnewline
157 & 82 & 82.8205379658143 & -0.820537965814246 \tabularnewline
158 & 57 & 85.7942075701477 & -28.7942075701477 \tabularnewline
159 & 71 & 77.4524747920556 & -6.45247479205557 \tabularnewline
160 & 105 & 81.5412704980141 & 23.4587295019859 \tabularnewline
161 & 60 & 83.3998140007225 & -23.3998140007225 \tabularnewline
162 & 77 & 78.5676008936806 & -1.56760089368063 \tabularnewline
163 & 73 & 62.7916941047548 & 10.2083058952452 \tabularnewline
164 & 78 & 68.7390333134217 & 9.26096668657826 \tabularnewline
165 & 81 & 86.5810509394226 & -5.58105093942261 \tabularnewline
166 & 101 & 70.8051441504968 & 30.1948558495032 \tabularnewline
167 & 118 & 78.2393181613305 & 39.7606818386695 \tabularnewline
168 & 59 & 74.8939398564553 & -15.8939398564553 \tabularnewline
169 & 101 & 71.5485615515801 & 29.4514384484199 \tabularnewline
170 & 22 & 81.5846964662056 & -59.5846964662056 \tabularnewline
171 & 77 & 66.7163484445382 & 10.2836515554618 \tabularnewline
172 & 100 & 72.8712549875718 & 27.1287450124282 \tabularnewline
173 & 39 & 75.4732158913636 & -36.4732158913636 \tabularnewline
174 & 42 & 60.0690178029794 & -18.0690178029794 \tabularnewline
175 & 80 & 77.1676180278969 & 2.83238197210309 \tabularnewline
176 & 48 & 65.272939610563 & -17.272939610563 \tabularnewline
177 & 131 & 82.3715398354805 & 48.6284601645195 \tabularnewline
178 & 46 & 76.0524919262719 & -30.0524919262719 \tabularnewline
179 & 89 & 69.1975939503464 & 19.8024060496536 \tabularnewline
180 & 51 & 59.5331677362626 & -8.53316773626264 \tabularnewline
181 & 108 & 79.2337288649719 & 28.7662711350281 \tabularnewline
182 & 86 & 73.286389656305 & 12.713610343695 \tabularnewline
183 & 105 & 76.2600592606385 & 28.7399407393615 \tabularnewline
184 & 85 & 78.1186027633469 & 6.88139723665312 \tabularnewline
185 & 103 & 71.2637047874215 & 31.7362952125785 \tabularnewline
186 & 83 & 73.8656656912133 & 9.13433430878674 \tabularnewline
187 & 77 & 64.2012394771295 & 12.7987605228705 \tabularnewline
188 & 26 & 58.2539002684625 & -32.2539002684625 \tabularnewline
189 & 73 & 69.7768699852547 & 3.22313001474527 \tabularnewline
190 & 42 & 61.0634285066209 & -19.0634285066209 \tabularnewline
191 & 71 & 67.7541851163712 & 3.24581488362879 \tabularnewline
192 & 105 & 54.3726718968706 & 50.6273281031294 \tabularnewline
193 & 73 & 59.0407436377374 & 13.9592563622626 \tabularnewline
194 & 98 & 73.1656742583214 & 24.8343257416786 \tabularnewline
195 & 108 & 74.8600763948547 & 33.1399236051453 \tabularnewline
196 & 57 & 76.7186198975632 & -19.7186198975632 \tabularnewline
197 & 37 & 71.5146980899796 & -34.5146980899796 \tabularnewline
198 & 70 & 69.8637219216377 & 0.13627807836225 \tabularnewline
199 & 73 & 61.6861305097207 & 11.3138694902793 \tabularnewline
200 & 47 & 64.2880914135125 & -17.2880914135125 \tabularnewline
201 & 73 & 70.6071393227211 & 2.39286067727888 \tabularnewline
202 & 91 & 72.0939741248879 & 18.9060258751121 \tabularnewline
203 & 110 & 81.7584003389717 & 28.2415996610283 \tabularnewline
204 & 78 & 73.0449588603378 & 4.95504113966217 \tabularnewline
205 & 92 & 80.4791328711715 & 11.5208671288285 \tabularnewline
206 & 52 & 80.4791328711715 & -28.4791328711715 \tabularnewline
207 & 88 & 68.4203130876625 & 19.5796869123375 \tabularnewline
208 & 100 & 57.269052071412 & 42.730947928588 \tabularnewline
209 & 33 & 59.8710129752038 & -26.8710129752038 \tabularnewline
210 & 42 & 72.1374000930794 & -30.1374000930794 \tabularnewline
211 & 81 & 73.8318022296127 & 7.16819777038729 \tabularnewline
212 & 67 & 48.5556105927781 & 18.4443894072219 \tabularnewline
213 & 8 & 57.3124780396035 & -49.3124780396035 \tabularnewline
214 & 46 & 58.0558954406869 & -12.0558954406869 \tabularnewline
215 & 83 & 72.5525347618126 & 10.4474652381874 \tabularnewline
216 & 87 & 62.8881085477288 & 24.1118914522712 \tabularnewline
217 & 82 & 76.2696217672294 & 5.73037823277059 \tabularnewline
218 & 63 & 52.1085562320199 & 10.8914437679801 \tabularnewline
219 & 27 & 66.6051955531456 & -39.6051955531456 \tabularnewline
220 & 14 & 56.0332105718033 & -42.0332105718033 \tabularnewline
221 & 83 & 60.8654236788452 & 22.1345763211548 \tabularnewline
222 & 168 & 61.6088410799286 & 106.391158920071 \tabularnewline
223 & 67 & 62.352258481012 & 4.64774151898801 \tabularnewline
224 & 21 & 61.6088410799286 & -40.6088410799286 \tabularnewline
225 & 55 & 74.2469368983459 & -19.2469368983459 \tabularnewline
226 & 54 & 73.8752281978042 & -19.8752281978042 \tabularnewline
227 & 118 & 67.0203302218788 & 50.9796697781212 \tabularnewline
228 & 69 & 47.3197690931695 & 21.6802309068305 \tabularnewline
229 & 77 & 49.0141712297028 & 27.9858287702972 \tabularnewline
230 & 72 & 70.9449845616623 & 1.05501543833775 \tabularnewline
231 & 53 & 56.0766365399949 & -3.07663653999485 \tabularnewline
232 & 40 & 59.0503061443283 & -19.0503061443283 \tabularnewline
233 & 102 & 59.2578734786949 & 42.7421265213051 \tabularnewline
234 & 25 & 65.5769213879036 & -40.5769213879036 \tabularnewline
235 & 31 & 58.5144560776116 & -27.5144560776116 \tabularnewline
236 & 77 & 51.4519907673196 & 25.5480092326804 \tabularnewline
237 & 38 & 65.2052126873619 & -27.2052126873619 \tabularnewline
238 & 23 & 65.7844887222702 & -42.7844887222702 \tabularnewline
239 & 91 & 55.7483538076447 & 35.2516461923553 \tabularnewline
240 & 58 & 59.4654408130615 & -1.46544081306154 \tabularnewline
241 & 42 & 57.8144646447197 & -15.8144646447197 \tabularnewline
242 & 44 & 61.1598429495949 & -17.1598429495949 \tabularnewline
243 & 58 & 55.9559211420113 & 2.04407885798872 \tabularnewline
244 & 35 & 56.6993385430947 & -21.6993385430947 \tabularnewline
245 & 88 & 52.2388341365944 & 35.7611658634056 \tabularnewline
246 & 25 & 65.45620598992 & -40.45620598992 \tabularnewline
247 & 39 & 55.4200710752945 & -16.4200710752945 \tabularnewline
248 & 48 & 49.6802992009941 & -1.68029920099415 \tabularnewline
249 & 64 & 53.397386206411 & 10.602613793589 \tabularnewline
250 & 65 & 55.0917883429443 & 9.90821165705566 \tabularnewline
251 & 95 & 53.2332448402359 & 41.7667551597641 \tabularnewline
252 & 29 & 51.3747013375275 & -22.3747013375275 \tabularnewline
253 & 2 & 51.3747013375275 & -49.3747013375275 \tabularnewline
254 & 83 & 50.467142570269 & 32.532857429731 \tabularnewline
255 & 11 & 57.365466514386 & -46.365466514386 \tabularnewline
256 & 16 & 51.7898360062607 & -35.7898360062607 \tabularnewline
257 & 9 & 47.9086076346688 & -38.9086076346688 \tabularnewline
258 & 46 & 46.2576314663269 & -0.257631466326924 \tabularnewline
259 & 41 & 55.1786402793274 & -14.1786402793274 \tabularnewline
260 & 14 & 44.9783639985268 & -30.9783639985268 \tabularnewline
261 & 63 & 46.8369075012352 & 16.1630924987648 \tabularnewline
262 & 9 & 47.9520336028603 & -38.9520336028603 \tabularnewline
263 & 0 & 42.7481117952767 & -42.7481117952767 \tabularnewline
264 & 58 & 50.7615618410187 & 7.23843815898134 \tabularnewline
265 & 18 & 42.0481203623848 & -24.0481203623848 \tabularnewline
266 & 42 & 45.39349866726 & -3.39349866725998 \tabularnewline
267 & 26 & 41.512270295668 & -15.512270295668 \tabularnewline
268 & 38 & 40.0254354935013 & -2.02543549350131 \tabularnewline
269 & 1 & 40.6481374966011 & -39.6481374966011 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=205530&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]122[/C][C]160.008389032786[/C][C]-38.0083890327856[/C][/ROW]
[ROW][C]2[/C][C]114[/C][C]165.091595442386[/C][C]-51.0915954423856[/C][/ROW]
[ROW][C]3[/C][C]140[/C][C]150.638382089451[/C][C]-10.6383820894514[/C][/ROW]
[ROW][C]4[/C][C]143[/C][C]142.6006310887[/C][C]0.399368911300094[/C][/ROW]
[ROW][C]5[/C][C]122[/C][C]134.717458947532[/C][C]-12.7174589475324[/C][/ROW]
[ROW][C]6[/C][C]127[/C][C]126.057005943681[/C][C]0.942994056318966[/C][/ROW]
[ROW][C]7[/C][C]113[/C][C]124.777738475881[/C][C]-11.7777384758809[/C][/ROW]
[ROW][C]8[/C][C]118[/C][C]132.255338454906[/C][C]-14.2553384549061[/C][/ROW]
[ROW][C]9[/C][C]161[/C][C]128.538251449489[/C][C]32.4617485505107[/C][/ROW]
[ROW][C]10[/C][C]134[/C][C]130.396794952198[/C][C]3.60320504780232[/C][/ROW]
[ROW][C]11[/C][C]96[/C][C]135.064866693064[/C][C]-39.0648666930645[/C][/ROW]
[ROW][C]12[/C][C]104[/C][C]118.009692436338[/C][C]-14.0096924363385[/C][/ROW]
[ROW][C]13[/C][C]135[/C][C]122.885331511572[/C][C]12.1146684884281[/C][/ROW]
[ROW][C]14[/C][C]110[/C][C]117.145559637272[/C][C]-7.14555963727156[/C][/ROW]
[ROW][C]15[/C][C]128[/C][C]116.44556820438[/C][C]11.5544317956203[/C][/ROW]
[ROW][C]16[/C][C]142[/C][C]123.508033514672[/C][C]18.4919664853283[/C][/ROW]
[ROW][C]17[/C][C]117[/C][C]116.653135538746[/C][C]0.346864461253699[/C][/ROW]
[ROW][C]18[/C][C]94[/C][C]112.771907167154[/C][C]-18.7719071671544[/C][/ROW]
[ROW][C]19[/C][C]135[/C][C]113.351183202063[/C][C]21.6488167979374[/C][/ROW]
[ROW][C]20[/C][C]121[/C][C]121.157065913438[/C][C]-0.157065913438029[/C][/ROW]
[ROW][C]21[/C][C]103[/C][C]114.094600603146[/C][C]-11.094600603146[/C][/ROW]
[ROW][C]22[/C][C]118[/C][C]135.86127256893[/C][C]-17.8612725689303[/C][/ROW]
[ROW][C]23[/C][C]127[/C][C]115.417294039138[/C][C]11.5827059608623[/C][/ROW]
[ROW][C]24[/C][C]116[/C][C]126.568555055388[/C][C]-10.5685550553882[/C][/ROW]
[ROW][C]25[/C][C]129[/C][C]118.226822277296[/C][C]10.7731777227039[/C][/ROW]
[ROW][C]26[/C][C]115[/C][C]118.598530977838[/C][C]-3.59853097783775[/C][/ROW]
[ROW][C]27[/C][C]135[/C][C]117.855113576754[/C][C]17.1448864232456[/C][/ROW]
[ROW][C]28[/C][C]133[/C][C]110.256798199746[/C][C]22.7432018002544[/C][/ROW]
[ROW][C]29[/C][C]113[/C][C]114.345593905704[/C][C]-1.34559390570413[/C][/ROW]
[ROW][C]30[/C][C]111[/C][C]117.526830844404[/C][C]-6.52683084440421[/C][/ROW]
[ROW][C]31[/C][C]92[/C][C]116.411704742779[/C][C]-24.4117047427792[/C][/ROW]
[ROW][C]32[/C][C]118[/C][C]115.875854676062[/C][C]2.12414532393762[/C][/ROW]
[ROW][C]33[/C][C]134[/C][C]118.106106879313[/C][C]15.8938931206875[/C][/ROW]
[ROW][C]34[/C][C]106[/C][C]116.455130710971[/C][C]-10.4551307109707[/C][/ROW]
[ROW][C]35[/C][C]137[/C][C]114.224878507721[/C][C]22.7751214922794[/C][/ROW]
[ROW][C]36[/C][C]100[/C][C]112.366335005012[/C][C]-12.3663350050121[/C][/ROW]
[ROW][C]37[/C][C]102[/C][C]106.998271831253[/C][C]-4.99827183125346[/C][/ROW]
[ROW][C]38[/C][C]134[/C][C]115.755139278079[/C][C]18.2448607219212[/C][/ROW]
[ROW][C]39[/C][C]130[/C][C]110.015367403778[/C][C]19.9846325962216[/C][/ROW]
[ROW][C]40[/C][C]144[/C][C]110.38707610432[/C][C]33.6129238956799[/C][/ROW]
[ROW][C]41[/C][C]120[/C][C]108.900241302153[/C][C]11.0997586978466[/C][/ROW]
[ROW][C]42[/C][C]91[/C][C]104.439736895653[/C][C]-13.4397368956532[/C][/ROW]
[ROW][C]43[/C][C]100[/C][C]105.183154296737[/C][C]-5.18315429673654[/C][/ROW]
[ROW][C]44[/C][C]134[/C][C]117.821250115154[/C][C]16.1787498848462[/C][/ROW]
[ROW][C]45[/C][C]161[/C][C]114.683439144645[/C][C]46.3165608553547[/C][/ROW]
[ROW][C]46[/C][C]128[/C][C]107.620973834353[/C][C]20.3790261656468[/C][/ROW]
[ROW][C]47[/C][C]124[/C][C]115.055147845187[/C][C]8.94485215481305[/C][/ROW]
[ROW][C]48[/C][C]115[/C][C]112.081478240853[/C][C]2.91852175914653[/C][/ROW]
[ROW][C]49[/C][C]123[/C][C]112.824895641937[/C][C]10.1751043580632[/C][/ROW]
[ROW][C]50[/C][C]117[/C][C]108.736099935978[/C][C]8.26390006402169[/C][/ROW]
[ROW][C]51[/C][C]111[/C][C]113.940021743562[/C][C]-2.94002174356189[/C][/ROW]
[ROW][C]52[/C][C]146[/C][C]107.085123767636[/C][C]38.9148762323635[/C][/ROW]
[ROW][C]53[/C][C]101[/C][C]113.404171676845[/C][C]-12.4041716768451[/C][/ROW]
[ROW][C]54[/C][C]131[/C][C]114.147589077929[/C][C]16.8524109220715[/C][/ROW]
[ROW][C]55[/C][C]122[/C][C]108.943667270345[/C][C]13.0563327296551[/C][/ROW]
[ROW][C]56[/C][C]78[/C][C]113.404171676845[/C][C]-35.4041716768451[/C][/ROW]
[ROW][C]57[/C][C]120[/C][C]106.177565000378[/C][C]13.822434999622[/C][/ROW]
[ROW][C]58[/C][C]115[/C][C]112.496612909587[/C][C]2.50338709041334[/C][/ROW]
[ROW][C]59[/C][C]142[/C][C]108.987093238536[/C][C]33.0129067614636[/C][/ROW]
[ROW][C]60[/C][C]94[/C][C]107.871967136911[/C][C]-13.8719671369114[/C][/ROW]
[ROW][C]61[/C][C]114[/C][C]106.056849602394[/C][C]7.94315039760555[/C][/ROW]
[ROW][C]62[/C][C]108[/C][C]104.198306099686[/C][C]3.80169390031398[/C][/ROW]
[ROW][C]63[/C][C]119[/C][C]101.432203829719[/C][C]17.5677961702809[/C][/ROW]
[ROW][C]64[/C][C]117[/C][C]104.034164733511[/C][C]12.9658352664891[/C][/ROW]
[ROW][C]65[/C][C]86[/C][C]107.751251738928[/C][C]-21.7512517389278[/C][/ROW]
[ROW][C]66[/C][C]138[/C][C]108.494669140011[/C][C]29.5053308599888[/C][/ROW]
[ROW][C]67[/C][C]119[/C][C]109.445653875461[/C][C]9.55434612453888[/C][/ROW]
[ROW][C]68[/C][C]117[/C][C]102.383188565169[/C][C]14.6168114348309[/C][/ROW]
[ROW][C]69[/C][C]117[/C][C]103.126605966252[/C][C]13.8733940337475[/C][/ROW]
[ROW][C]70[/C][C]76[/C][C]104.077590701702[/C][C]-28.0775907017025[/C][/ROW]
[ROW][C]71[/C][C]119[/C][C]108.166386407661[/C][C]10.833613592339[/C][/ROW]
[ROW][C]72[/C][C]119[/C][C]102.590755899536[/C][C]16.4092441004643[/C][/ROW]
[ROW][C]73[/C][C]124[/C][C]104.656866736611[/C][C]19.3431332633893[/C][/ROW]
[ROW][C]74[/C][C]116[/C][C]97.5944014263187[/C][C]18.4055985736813[/C][/ROW]
[ROW][C]75[/C][C]118[/C][C]102.054905832819[/C][C]15.9450941671811[/C][/ROW]
[ROW][C]76[/C][C]102[/C][C]104.492725370436[/C][C]-2.49272537043565[/C][/ROW]
[ROW][C]77[/C][C]116[/C][C]102.262473167186[/C][C]13.7375268328145[/C][/ROW]
[ROW][C]78[/C][C]103[/C][C]111.019340614011[/C][C]-8.01934061401088[/C][/ROW]
[ROW][C]79[/C][C]117[/C][C]99.8680795977603[/C][C]17.1319204022397[/C][/ROW]
[ROW][C]80[/C][C]108[/C][C]105.443710105886[/C][C]2.55628989411439[/C][/ROW]
[ROW][C]81[/C][C]122[/C][C]98.3812447955936[/C][C]23.6187552044064[/C][/ROW]
[ROW][C]82[/C][C]90[/C][C]103.421025237002[/C][C]-13.4210252370021[/C][/ROW]
[ROW][C]83[/C][C]133[/C][C]105.487136074077[/C][C]27.5128639259229[/C][/ROW]
[ROW][C]84[/C][C]116[/C][C]91.3622054534931[/C][C]24.6377945465069[/C][/ROW]
[ROW][C]85[/C][C]110[/C][C]100.119072900318[/C][C]9.88092709968155[/C][/ROW]
[ROW][C]86[/C][C]90[/C][C]95.6585684938182[/C][C]-5.65856849381824[/C][/ROW]
[ROW][C]87[/C][C]74[/C][C]97.8888206970684[/C][C]-23.8888206970683[/C][/ROW]
[ROW][C]88[/C][C]75[/C][C]92.8924662238514[/C][C]-17.8924662238514[/C][/ROW]
[ROW][C]89[/C][C]107[/C][C]99.0473727668849[/C][C]7.95262723311509[/C][/ROW]
[ROW][C]90[/C][C]90[/C][C]104.62300327501[/C][C]-14.6230032750102[/C][/ROW]
[ROW][C]91[/C][C]96[/C][C]98.3039553658015[/C][C]-2.30395536580154[/C][/ROW]
[ROW][C]92[/C][C]115[/C][C]94.0510182936679[/C][C]20.9489817063321[/C][/ROW]
[ROW][C]93[/C][C]91[/C][C]93.6793095931262[/C][C]-2.67930959312624[/C][/ROW]
[ROW][C]94[/C][C]77[/C][C]104.29472054266[/C][C]-27.29472054266[/C][/ROW]
[ROW][C]95[/C][C]108[/C][C]99.0907987350764[/C][C]8.90920126492358[/C][/ROW]
[ROW][C]96[/C][C]83[/C][C]96.8605465318263[/C][C]-13.8605465318263[/C][/ROW]
[ROW][C]97[/C][C]77[/C][C]95.3737117296596[/C][C]-18.3737117296596[/C][/ROW]
[ROW][C]98[/C][C]99[/C][C]100.949342237785[/C][C]-1.94934223778485[/C][/ROW]
[ROW][C]99[/C][C]115[/C][C]96.3246964651096[/C][C]18.6753035348905[/C][/ROW]
[ROW][C]100[/C][C]99[/C][C]97.4398225667346[/C][C]1.5601774332654[/C][/ROW]
[ROW][C]101[/C][C]106[/C][C]93.7227355613177[/C][C]12.2772644386823[/C][/ROW]
[ROW][C]102[/C][C]77[/C][C]89.6339398553592[/C][C]-12.6339398553592[/C][/ROW]
[ROW][C]103[/C][C]115[/C][C]89.6773658235507[/C][C]25.3226341764493[/C][/ROW]
[ROW][C]104[/C][C]67[/C][C]89.5132244573756[/C][C]-22.5132244573756[/C][/ROW]
[ROW][C]105[/C][C]8[/C][C]87.2829722541255[/C][C]-79.2829722541255[/C][/ROW]
[ROW][C]106[/C][C]69[/C][C]91.7869026288173[/C][C]-22.7869026288173[/C][/ROW]
[ROW][C]107[/C][C]88[/C][C]92.1586113293589[/C][C]-4.15861132935895[/C][/ROW]
[ROW][C]108[/C][C]107[/C][C]85.6754220539752[/C][C]21.3245779460248[/C][/ROW]
[ROW][C]109[/C][C]120[/C][C]89.0208003588504[/C][C]30.9791996411496[/C][/ROW]
[ROW][C]110[/C][C]3[/C][C]78.6659452184657[/C][C]-75.6659452184657[/C][/ROW]
[ROW][C]111[/C][C]1[/C][C]78.8735125528323[/C][C]-77.8735125528323[/C][/ROW]
[ROW][C]112[/C][C]0[/C][C]75.363992881782[/C][C]-75.363992881782[/C][/ROW]
[ROW][C]113[/C][C]111[/C][C]159.268217691719[/C][C]-48.2682176917188[/C][/ROW]
[ROW][C]114[/C][C]69[/C][C]143.747690770114[/C][C]-74.7476907701144[/C][/ROW]
[ROW][C]115[/C][C]116[/C][C]131.775722922988[/C][C]-15.7757229229884[/C][/ROW]
[ROW][C]116[/C][C]103[/C][C]114.063983201562[/C][C]-11.0639832015621[/C][/ROW]
[ROW][C]117[/C][C]139[/C][C]113.01140808131[/C][C]25.9885919186896[/C][/ROW]
[ROW][C]118[/C][C]135[/C][C]118.422897223261[/C][C]16.5771027767394[/C][/ROW]
[ROW][C]119[/C][C]113[/C][C]108.84532294556[/C][C]4.15467705444014[/C][/ROW]
[ROW][C]120[/C][C]99[/C][C]94.7638182931673[/C][C]4.23618170683266[/C][/ROW]
[ROW][C]121[/C][C]76[/C][C]105.258513844718[/C][C]-29.2585138447175[/C][/ROW]
[ROW][C]122[/C][C]110[/C][C]94.7299548315668[/C][C]15.2700451684332[/C][/ROW]
[ROW][C]123[/C][C]121[/C][C]99.9773026073419[/C][C]21.0226973926581[/C][/ROW]
[ROW][C]124[/C][C]95[/C][C]105.01708304875[/C][C]-10.0170830487504[/C][/ROW]
[ROW][C]125[/C][C]66[/C][C]91.1431457307245[/C][C]-25.1431457307245[/C][/ROW]
[ROW][C]126[/C][C]111[/C][C]106.754911153475[/C][C]4.24508884652476[/C][/ROW]
[ROW][C]127[/C][C]77[/C][C]84.8675237897073[/C][C]-7.86752378970735[/C][/ROW]
[ROW][C]128[/C][C]101[/C][C]108.285171923833[/C][C]-7.28517192383349[/C][/ROW]
[ROW][C]129[/C][C]108[/C][C]95.7339280417992[/C][C]12.2660719582008[/C][/ROW]
[ROW][C]130[/C][C]135[/C][C]91.8526996702073[/C][C]43.1473003297927[/C][/ROW]
[ROW][C]131[/C][C]70[/C][C]94.4546605739991[/C][C]-24.4546605739991[/C][/ROW]
[ROW][C]132[/C][C]124[/C][C]84.6260929937402[/C][C]39.3739070062598[/C][/ROW]
[ROW][C]133[/C][C]92[/C][C]91.8961256383988[/C][C]0.103874361601193[/C][/ROW]
[ROW][C]134[/C][C]104[/C][C]93.0112517400239[/C][C]10.9887482599761[/C][/ROW]
[ROW][C]135[/C][C]113[/C][C]89.1300233684319[/C][C]23.8699766315681[/C][/ROW]
[ROW][C]136[/C][C]95[/C][C]94.1698038098404[/C][C]0.830196190159571[/C][/ROW]
[ROW][C]137[/C][C]89[/C][C]85.24879499684[/C][C]3.75120500316001[/C][/ROW]
[ROW][C]138[/C][C]83[/C][C]83.9695275290399[/C][C]-0.969527529039853[/C][/ROW]
[ROW][C]139[/C][C]96[/C][C]81.203425259073[/C][C]14.796574740927[/C][/ROW]
[ROW][C]140[/C][C]95[/C][C]104.249364692657[/C][C]-9.24936469265743[/C][/ROW]
[ROW][C]141[/C][C]110[/C][C]92.3546862753235[/C][C]17.6453137246765[/C][/ROW]
[ROW][C]142[/C][C]106[/C][C]94.9566471791153[/C][C]11.0433528208847[/C][/ROW]
[ROW][C]143[/C][C]78[/C][C]72.1182750798975[/C][C]5.88172492010255[/C][/ROW]
[ROW][C]144[/C][C]115[/C][C]84.7563708983147[/C][C]30.2436291016853[/C][/ROW]
[ROW][C]145[/C][C]74[/C][C]79.9241577912728[/C][C]-5.92415779127283[/C][/ROW]
[ROW][C]146[/C][C]93[/C][C]86.4507730348481[/C][C]6.54922696515193[/C][/ROW]
[ROW][C]147[/C][C]88[/C][C]79.0165990240144[/C][C]8.98340097598562[/C][/ROW]
[ROW][C]148[/C][C]104[/C][C]92.9773882784233[/C][C]11.0226117215767[/C][/ROW]
[ROW][C]149[/C][C]86[/C][C]82.0336945965394[/C][C]3.96630540346063[/C][/ROW]
[ROW][C]150[/C][C]104[/C][C]74.9712292862474[/C][C]29.0287707137526[/C][/ROW]
[ROW][C]151[/C][C]99[/C][C]80.3827184281975[/C][C]18.6172815718025[/C][/ROW]
[ROW][C]152[/C][C]101[/C][C]81.3337031636475[/C][C]19.6662968363525[/C][/ROW]
[ROW][C]153[/C][C]53[/C][C]79.4751596609391[/C][C]-26.4751596609391[/C][/ROW]
[ROW][C]154[/C][C]96[/C][C]80.9619944631058[/C][C]15.0380055368942[/C][/ROW]
[ROW][C]155[/C][C]58[/C][C]73.5278204522721[/C][C]-15.5278204522721[/C][/ROW]
[ROW][C]156[/C][C]117[/C][C]82.0771205647309[/C][C]34.9228794352691[/C][/ROW]
[ROW][C]157[/C][C]82[/C][C]82.8205379658143[/C][C]-0.820537965814246[/C][/ROW]
[ROW][C]158[/C][C]57[/C][C]85.7942075701477[/C][C]-28.7942075701477[/C][/ROW]
[ROW][C]159[/C][C]71[/C][C]77.4524747920556[/C][C]-6.45247479205557[/C][/ROW]
[ROW][C]160[/C][C]105[/C][C]81.5412704980141[/C][C]23.4587295019859[/C][/ROW]
[ROW][C]161[/C][C]60[/C][C]83.3998140007225[/C][C]-23.3998140007225[/C][/ROW]
[ROW][C]162[/C][C]77[/C][C]78.5676008936806[/C][C]-1.56760089368063[/C][/ROW]
[ROW][C]163[/C][C]73[/C][C]62.7916941047548[/C][C]10.2083058952452[/C][/ROW]
[ROW][C]164[/C][C]78[/C][C]68.7390333134217[/C][C]9.26096668657826[/C][/ROW]
[ROW][C]165[/C][C]81[/C][C]86.5810509394226[/C][C]-5.58105093942261[/C][/ROW]
[ROW][C]166[/C][C]101[/C][C]70.8051441504968[/C][C]30.1948558495032[/C][/ROW]
[ROW][C]167[/C][C]118[/C][C]78.2393181613305[/C][C]39.7606818386695[/C][/ROW]
[ROW][C]168[/C][C]59[/C][C]74.8939398564553[/C][C]-15.8939398564553[/C][/ROW]
[ROW][C]169[/C][C]101[/C][C]71.5485615515801[/C][C]29.4514384484199[/C][/ROW]
[ROW][C]170[/C][C]22[/C][C]81.5846964662056[/C][C]-59.5846964662056[/C][/ROW]
[ROW][C]171[/C][C]77[/C][C]66.7163484445382[/C][C]10.2836515554618[/C][/ROW]
[ROW][C]172[/C][C]100[/C][C]72.8712549875718[/C][C]27.1287450124282[/C][/ROW]
[ROW][C]173[/C][C]39[/C][C]75.4732158913636[/C][C]-36.4732158913636[/C][/ROW]
[ROW][C]174[/C][C]42[/C][C]60.0690178029794[/C][C]-18.0690178029794[/C][/ROW]
[ROW][C]175[/C][C]80[/C][C]77.1676180278969[/C][C]2.83238197210309[/C][/ROW]
[ROW][C]176[/C][C]48[/C][C]65.272939610563[/C][C]-17.272939610563[/C][/ROW]
[ROW][C]177[/C][C]131[/C][C]82.3715398354805[/C][C]48.6284601645195[/C][/ROW]
[ROW][C]178[/C][C]46[/C][C]76.0524919262719[/C][C]-30.0524919262719[/C][/ROW]
[ROW][C]179[/C][C]89[/C][C]69.1975939503464[/C][C]19.8024060496536[/C][/ROW]
[ROW][C]180[/C][C]51[/C][C]59.5331677362626[/C][C]-8.53316773626264[/C][/ROW]
[ROW][C]181[/C][C]108[/C][C]79.2337288649719[/C][C]28.7662711350281[/C][/ROW]
[ROW][C]182[/C][C]86[/C][C]73.286389656305[/C][C]12.713610343695[/C][/ROW]
[ROW][C]183[/C][C]105[/C][C]76.2600592606385[/C][C]28.7399407393615[/C][/ROW]
[ROW][C]184[/C][C]85[/C][C]78.1186027633469[/C][C]6.88139723665312[/C][/ROW]
[ROW][C]185[/C][C]103[/C][C]71.2637047874215[/C][C]31.7362952125785[/C][/ROW]
[ROW][C]186[/C][C]83[/C][C]73.8656656912133[/C][C]9.13433430878674[/C][/ROW]
[ROW][C]187[/C][C]77[/C][C]64.2012394771295[/C][C]12.7987605228705[/C][/ROW]
[ROW][C]188[/C][C]26[/C][C]58.2539002684625[/C][C]-32.2539002684625[/C][/ROW]
[ROW][C]189[/C][C]73[/C][C]69.7768699852547[/C][C]3.22313001474527[/C][/ROW]
[ROW][C]190[/C][C]42[/C][C]61.0634285066209[/C][C]-19.0634285066209[/C][/ROW]
[ROW][C]191[/C][C]71[/C][C]67.7541851163712[/C][C]3.24581488362879[/C][/ROW]
[ROW][C]192[/C][C]105[/C][C]54.3726718968706[/C][C]50.6273281031294[/C][/ROW]
[ROW][C]193[/C][C]73[/C][C]59.0407436377374[/C][C]13.9592563622626[/C][/ROW]
[ROW][C]194[/C][C]98[/C][C]73.1656742583214[/C][C]24.8343257416786[/C][/ROW]
[ROW][C]195[/C][C]108[/C][C]74.8600763948547[/C][C]33.1399236051453[/C][/ROW]
[ROW][C]196[/C][C]57[/C][C]76.7186198975632[/C][C]-19.7186198975632[/C][/ROW]
[ROW][C]197[/C][C]37[/C][C]71.5146980899796[/C][C]-34.5146980899796[/C][/ROW]
[ROW][C]198[/C][C]70[/C][C]69.8637219216377[/C][C]0.13627807836225[/C][/ROW]
[ROW][C]199[/C][C]73[/C][C]61.6861305097207[/C][C]11.3138694902793[/C][/ROW]
[ROW][C]200[/C][C]47[/C][C]64.2880914135125[/C][C]-17.2880914135125[/C][/ROW]
[ROW][C]201[/C][C]73[/C][C]70.6071393227211[/C][C]2.39286067727888[/C][/ROW]
[ROW][C]202[/C][C]91[/C][C]72.0939741248879[/C][C]18.9060258751121[/C][/ROW]
[ROW][C]203[/C][C]110[/C][C]81.7584003389717[/C][C]28.2415996610283[/C][/ROW]
[ROW][C]204[/C][C]78[/C][C]73.0449588603378[/C][C]4.95504113966217[/C][/ROW]
[ROW][C]205[/C][C]92[/C][C]80.4791328711715[/C][C]11.5208671288285[/C][/ROW]
[ROW][C]206[/C][C]52[/C][C]80.4791328711715[/C][C]-28.4791328711715[/C][/ROW]
[ROW][C]207[/C][C]88[/C][C]68.4203130876625[/C][C]19.5796869123375[/C][/ROW]
[ROW][C]208[/C][C]100[/C][C]57.269052071412[/C][C]42.730947928588[/C][/ROW]
[ROW][C]209[/C][C]33[/C][C]59.8710129752038[/C][C]-26.8710129752038[/C][/ROW]
[ROW][C]210[/C][C]42[/C][C]72.1374000930794[/C][C]-30.1374000930794[/C][/ROW]
[ROW][C]211[/C][C]81[/C][C]73.8318022296127[/C][C]7.16819777038729[/C][/ROW]
[ROW][C]212[/C][C]67[/C][C]48.5556105927781[/C][C]18.4443894072219[/C][/ROW]
[ROW][C]213[/C][C]8[/C][C]57.3124780396035[/C][C]-49.3124780396035[/C][/ROW]
[ROW][C]214[/C][C]46[/C][C]58.0558954406869[/C][C]-12.0558954406869[/C][/ROW]
[ROW][C]215[/C][C]83[/C][C]72.5525347618126[/C][C]10.4474652381874[/C][/ROW]
[ROW][C]216[/C][C]87[/C][C]62.8881085477288[/C][C]24.1118914522712[/C][/ROW]
[ROW][C]217[/C][C]82[/C][C]76.2696217672294[/C][C]5.73037823277059[/C][/ROW]
[ROW][C]218[/C][C]63[/C][C]52.1085562320199[/C][C]10.8914437679801[/C][/ROW]
[ROW][C]219[/C][C]27[/C][C]66.6051955531456[/C][C]-39.6051955531456[/C][/ROW]
[ROW][C]220[/C][C]14[/C][C]56.0332105718033[/C][C]-42.0332105718033[/C][/ROW]
[ROW][C]221[/C][C]83[/C][C]60.8654236788452[/C][C]22.1345763211548[/C][/ROW]
[ROW][C]222[/C][C]168[/C][C]61.6088410799286[/C][C]106.391158920071[/C][/ROW]
[ROW][C]223[/C][C]67[/C][C]62.352258481012[/C][C]4.64774151898801[/C][/ROW]
[ROW][C]224[/C][C]21[/C][C]61.6088410799286[/C][C]-40.6088410799286[/C][/ROW]
[ROW][C]225[/C][C]55[/C][C]74.2469368983459[/C][C]-19.2469368983459[/C][/ROW]
[ROW][C]226[/C][C]54[/C][C]73.8752281978042[/C][C]-19.8752281978042[/C][/ROW]
[ROW][C]227[/C][C]118[/C][C]67.0203302218788[/C][C]50.9796697781212[/C][/ROW]
[ROW][C]228[/C][C]69[/C][C]47.3197690931695[/C][C]21.6802309068305[/C][/ROW]
[ROW][C]229[/C][C]77[/C][C]49.0141712297028[/C][C]27.9858287702972[/C][/ROW]
[ROW][C]230[/C][C]72[/C][C]70.9449845616623[/C][C]1.05501543833775[/C][/ROW]
[ROW][C]231[/C][C]53[/C][C]56.0766365399949[/C][C]-3.07663653999485[/C][/ROW]
[ROW][C]232[/C][C]40[/C][C]59.0503061443283[/C][C]-19.0503061443283[/C][/ROW]
[ROW][C]233[/C][C]102[/C][C]59.2578734786949[/C][C]42.7421265213051[/C][/ROW]
[ROW][C]234[/C][C]25[/C][C]65.5769213879036[/C][C]-40.5769213879036[/C][/ROW]
[ROW][C]235[/C][C]31[/C][C]58.5144560776116[/C][C]-27.5144560776116[/C][/ROW]
[ROW][C]236[/C][C]77[/C][C]51.4519907673196[/C][C]25.5480092326804[/C][/ROW]
[ROW][C]237[/C][C]38[/C][C]65.2052126873619[/C][C]-27.2052126873619[/C][/ROW]
[ROW][C]238[/C][C]23[/C][C]65.7844887222702[/C][C]-42.7844887222702[/C][/ROW]
[ROW][C]239[/C][C]91[/C][C]55.7483538076447[/C][C]35.2516461923553[/C][/ROW]
[ROW][C]240[/C][C]58[/C][C]59.4654408130615[/C][C]-1.46544081306154[/C][/ROW]
[ROW][C]241[/C][C]42[/C][C]57.8144646447197[/C][C]-15.8144646447197[/C][/ROW]
[ROW][C]242[/C][C]44[/C][C]61.1598429495949[/C][C]-17.1598429495949[/C][/ROW]
[ROW][C]243[/C][C]58[/C][C]55.9559211420113[/C][C]2.04407885798872[/C][/ROW]
[ROW][C]244[/C][C]35[/C][C]56.6993385430947[/C][C]-21.6993385430947[/C][/ROW]
[ROW][C]245[/C][C]88[/C][C]52.2388341365944[/C][C]35.7611658634056[/C][/ROW]
[ROW][C]246[/C][C]25[/C][C]65.45620598992[/C][C]-40.45620598992[/C][/ROW]
[ROW][C]247[/C][C]39[/C][C]55.4200710752945[/C][C]-16.4200710752945[/C][/ROW]
[ROW][C]248[/C][C]48[/C][C]49.6802992009941[/C][C]-1.68029920099415[/C][/ROW]
[ROW][C]249[/C][C]64[/C][C]53.397386206411[/C][C]10.602613793589[/C][/ROW]
[ROW][C]250[/C][C]65[/C][C]55.0917883429443[/C][C]9.90821165705566[/C][/ROW]
[ROW][C]251[/C][C]95[/C][C]53.2332448402359[/C][C]41.7667551597641[/C][/ROW]
[ROW][C]252[/C][C]29[/C][C]51.3747013375275[/C][C]-22.3747013375275[/C][/ROW]
[ROW][C]253[/C][C]2[/C][C]51.3747013375275[/C][C]-49.3747013375275[/C][/ROW]
[ROW][C]254[/C][C]83[/C][C]50.467142570269[/C][C]32.532857429731[/C][/ROW]
[ROW][C]255[/C][C]11[/C][C]57.365466514386[/C][C]-46.365466514386[/C][/ROW]
[ROW][C]256[/C][C]16[/C][C]51.7898360062607[/C][C]-35.7898360062607[/C][/ROW]
[ROW][C]257[/C][C]9[/C][C]47.9086076346688[/C][C]-38.9086076346688[/C][/ROW]
[ROW][C]258[/C][C]46[/C][C]46.2576314663269[/C][C]-0.257631466326924[/C][/ROW]
[ROW][C]259[/C][C]41[/C][C]55.1786402793274[/C][C]-14.1786402793274[/C][/ROW]
[ROW][C]260[/C][C]14[/C][C]44.9783639985268[/C][C]-30.9783639985268[/C][/ROW]
[ROW][C]261[/C][C]63[/C][C]46.8369075012352[/C][C]16.1630924987648[/C][/ROW]
[ROW][C]262[/C][C]9[/C][C]47.9520336028603[/C][C]-38.9520336028603[/C][/ROW]
[ROW][C]263[/C][C]0[/C][C]42.7481117952767[/C][C]-42.7481117952767[/C][/ROW]
[ROW][C]264[/C][C]58[/C][C]50.7615618410187[/C][C]7.23843815898134[/C][/ROW]
[ROW][C]265[/C][C]18[/C][C]42.0481203623848[/C][C]-24.0481203623848[/C][/ROW]
[ROW][C]266[/C][C]42[/C][C]45.39349866726[/C][C]-3.39349866725998[/C][/ROW]
[ROW][C]267[/C][C]26[/C][C]41.512270295668[/C][C]-15.512270295668[/C][/ROW]
[ROW][C]268[/C][C]38[/C][C]40.0254354935013[/C][C]-2.02543549350131[/C][/ROW]
[ROW][C]269[/C][C]1[/C][C]40.6481374966011[/C][C]-39.6481374966011[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=205530&T=4

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=205530&T=4

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


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

Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolationForecastResidualsPrediction Error
1122160.008389032786-38.0083890327856
2114165.091595442386-51.0915954423856
3140150.638382089451-10.6383820894514
4143142.60063108870.399368911300094
5122134.717458947532-12.7174589475324
6127126.0570059436810.942994056318966
7113124.777738475881-11.7777384758809
8118132.255338454906-14.2553384549061
9161128.53825144948932.4617485505107
10134130.3967949521983.60320504780232
1196135.064866693064-39.0648666930645
12104118.009692436338-14.0096924363385
13135122.88533151157212.1146684884281
14110117.145559637272-7.14555963727156
15128116.4455682043811.5544317956203
16142123.50803351467218.4919664853283
17117116.6531355387460.346864461253699
1894112.771907167154-18.7719071671544
19135113.35118320206321.6488167979374
20121121.157065913438-0.157065913438029
21103114.094600603146-11.094600603146
22118135.86127256893-17.8612725689303
23127115.41729403913811.5827059608623
24116126.568555055388-10.5685550553882
25129118.22682227729610.7731777227039
26115118.598530977838-3.59853097783775
27135117.85511357675417.1448864232456
28133110.25679819974622.7432018002544
29113114.345593905704-1.34559390570413
30111117.526830844404-6.52683084440421
3192116.411704742779-24.4117047427792
32118115.8758546760622.12414532393762
33134118.10610687931315.8938931206875
34106116.455130710971-10.4551307109707
35137114.22487850772122.7751214922794
36100112.366335005012-12.3663350050121
37102106.998271831253-4.99827183125346
38134115.75513927807918.2448607219212
39130110.01536740377819.9846325962216
40144110.3870761043233.6129238956799
41120108.90024130215311.0997586978466
4291104.439736895653-13.4397368956532
43100105.183154296737-5.18315429673654
44134117.82125011515416.1787498848462
45161114.68343914464546.3165608553547
46128107.62097383435320.3790261656468
47124115.0551478451878.94485215481305
48115112.0814782408532.91852175914653
49123112.82489564193710.1751043580632
50117108.7360999359788.26390006402169
51111113.940021743562-2.94002174356189
52146107.08512376763638.9148762323635
53101113.404171676845-12.4041716768451
54131114.14758907792916.8524109220715
55122108.94366727034513.0563327296551
5678113.404171676845-35.4041716768451
57120106.17756500037813.822434999622
58115112.4966129095872.50338709041334
59142108.98709323853633.0129067614636
6094107.871967136911-13.8719671369114
61114106.0568496023947.94315039760555
62108104.1983060996863.80169390031398
63119101.43220382971917.5677961702809
64117104.03416473351112.9658352664891
6586107.751251738928-21.7512517389278
66138108.49466914001129.5053308599888
67119109.4456538754619.55434612453888
68117102.38318856516914.6168114348309
69117103.12660596625213.8733940337475
7076104.077590701702-28.0775907017025
71119108.16638640766110.833613592339
72119102.59075589953616.4092441004643
73124104.65686673661119.3431332633893
7411697.594401426318718.4055985736813
75118102.05490583281915.9450941671811
76102104.492725370436-2.49272537043565
77116102.26247316718613.7375268328145
78103111.019340614011-8.01934061401088
7911799.868079597760317.1319204022397
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1437872.11827507989755.88172492010255
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1457479.9241577912728-5.92415779127283
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15611782.077120564730934.9228794352691
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1597177.4524747920556-6.45247479205557
16010581.541270498014123.4587295019859
1616083.3998140007225-23.3998140007225
1627778.5676008936806-1.56760089368063
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1798969.197593950346419.8024060496536
1805159.5331677362626-8.53316773626264
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1828673.28638965630512.713610343695
18310576.260059260638528.7399407393615
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18510371.263704787421531.7362952125785
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1904261.0634285066209-19.0634285066209
1917167.75418511637123.24581488362879
19210554.372671896870650.6273281031294
1937359.040743637737413.9592563622626
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19510874.860076394854733.1399236051453
1965776.7186198975632-19.7186198975632
1973771.5146980899796-34.5146980899796
1987069.86372192163770.13627807836225
1997361.686130509720711.3138694902793
2004764.2880914135125-17.2880914135125
2017370.60713932272112.39286067727888
2029172.093974124887918.9060258751121
20311081.758400338971728.2415996610283
2047873.04495886033784.95504113966217
2059280.479132871171511.5208671288285
2065280.4791328711715-28.4791328711715
2078868.420313087662519.5796869123375
20810057.26905207141242.730947928588
2093359.8710129752038-26.8710129752038
2104272.1374000930794-30.1374000930794
2118173.83180222961277.16819777038729
2126748.555610592778118.4443894072219
213857.3124780396035-49.3124780396035
2144658.0558954406869-12.0558954406869
2158372.552534761812610.4474652381874
2168762.888108547728824.1118914522712
2178276.26962176722945.73037823277059
2186352.108556232019910.8914437679801
2192766.6051955531456-39.6051955531456
2201456.0332105718033-42.0332105718033
2218360.865423678845222.1345763211548
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2236762.3522584810124.64774151898801
2242161.6088410799286-40.6088410799286
2255574.2469368983459-19.2469368983459
2265473.8752281978042-19.8752281978042
22711867.020330221878850.9796697781212
2286947.319769093169521.6802309068305
2297749.014171229702827.9858287702972
2307270.94498456166231.05501543833775
2315356.0766365399949-3.07663653999485
2324059.0503061443283-19.0503061443283
23310259.257873478694942.7421265213051
2342565.5769213879036-40.5769213879036
2353158.5144560776116-27.5144560776116
2367751.451990767319625.5480092326804
2373865.2052126873619-27.2052126873619
2382365.7844887222702-42.7844887222702
2399155.748353807644735.2516461923553
2405859.4654408130615-1.46544081306154
2414257.8144646447197-15.8144646447197
2424461.1598429495949-17.1598429495949
2435855.95592114201132.04407885798872
2443556.6993385430947-21.6993385430947
2458852.238834136594435.7611658634056
2462565.45620598992-40.45620598992
2473955.4200710752945-16.4200710752945
2484849.6802992009941-1.68029920099415
2496453.39738620641110.602613793589
2506555.09178834294439.90821165705566
2519553.233244840235941.7667551597641
2522951.3747013375275-22.3747013375275
253251.3747013375275-49.3747013375275
2548350.46714257026932.532857429731
2551157.365466514386-46.365466514386
2561651.7898360062607-35.7898360062607
257947.9086076346688-38.9086076346688
2584646.2576314663269-0.257631466326924
2594155.1786402793274-14.1786402793274
2601444.9783639985268-30.9783639985268
2616346.836907501235216.1630924987648
262947.9520336028603-38.9520336028603
263042.7481117952767-42.7481117952767
2645850.76156184101877.23843815898134
2651842.0481203623848-24.0481203623848
2664245.39349866726-3.39349866725998
2672641.512270295668-15.512270295668
2683840.0254354935013-2.02543549350131
269140.6481374966011-39.6481374966011






Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
70.1774652098159860.3549304196319730.822534790184014
80.08651478825309780.1730295765061960.913485211746902
90.3043645244045910.6087290488091830.695635475595409
100.1977037376908090.3954074753816180.802296262309191
110.2242277398322050.4484554796644110.775772260167795
120.2617840280664710.5235680561329420.738215971933529
130.2007956218669630.4015912437339260.799204378133037
140.1634883760478940.3269767520957880.836511623952106
150.1113623612457050.222724722491410.888637638754295
160.102521446828240.2050428936564790.897478553171761
170.07084649901573240.1416929980314650.929153500984268
180.0922805552203130.1845611104406260.907719444779687
190.07365498805068870.1473099761013770.926345011949311
200.04884911372929460.09769822745858930.951150886270705
210.04242735394472850.08485470788945710.957572646055271
220.02817075344187210.05634150688374430.971829246558128
230.01873451972077310.03746903944154630.981265480279227
240.01191733042698970.02383466085397950.98808266957301
250.007924985288876610.01584997057775320.992075014711123
260.004905869193612260.009811738387224520.995094130806388
270.003776303885569750.007552607771139490.99622369611443
280.002659769817663560.005319539635327120.997340230182336
290.001698483341510330.003396966683020660.99830151665849
300.001105749352819910.002211498705639810.99889425064718
310.001807309230330090.003614618460660180.99819269076967
320.00105745230398530.002114904607970590.998942547696015
330.0008380728530306830.001676145706061370.999161927146969
340.0006049518330902640.001209903666180530.99939504816691
350.0005465187886254570.001093037577250910.999453481211375
360.0005167917774157360.001033583554831470.999483208222584
370.0004187019514902040.0008374039029804090.99958129804851
380.0003425576057361160.0006851152114722320.999657442394264
390.0002426915156386760.0004853830312773520.999757308484361
400.0003295396563724260.0006590793127448520.999670460343628
410.0001941591190269740.0003883182380539490.999805840880973
420.0002852843605208260.0005705687210416520.999714715639479
430.0002346289831382440.0004692579662764890.999765371016862
440.0001744762161809470.0003489524323618930.999825523783819
450.0006757466717527810.001351493343505560.999324253328247
460.0004738674063109150.000947734812621830.999526132593689
470.0002951498529938740.0005902997059877490.999704850147006
480.0001878865603902720.0003757731207805450.99981211343961
490.000114729076768170.000229458153536340.999885270923232
506.92836523764945e-050.0001385673047529890.999930716347624
514.68988730964641e-059.37977461929282e-050.999953101126903
527.36164878732416e-050.0001472329757464830.999926383512127
537.19297879782676e-050.0001438595759565350.999928070212022
544.87391187354215e-059.74782374708429e-050.999951260881265
552.97392274772443e-055.94784549544887e-050.999970260772523
560.0001376544136781450.0002753088273562890.999862345586322
578.77093346266182e-050.0001754186692532360.999912290665373
585.53548774335526e-050.0001107097548671050.999944645122566
596.40537524097479e-050.0001281075048194960.99993594624759
607.31603817761559e-050.0001463207635523120.999926839618224
614.65246041564818e-059.30492083129636e-050.999953475395844
623.11977232155258e-056.23954464310516e-050.999968802276785
632.00045997384179e-054.00091994768357e-050.999979995400262
641.24181842341091e-052.48363684682181e-050.999987581815766
652.17978814057584e-054.35957628115167e-050.999978202118594
662.23363842817006e-054.46727685634012e-050.999977663615718
671.39404451180691e-052.78808902361383e-050.999986059554882
688.81526310690508e-061.76305262138102e-050.999991184736893
695.52269980116035e-061.10453996023207e-050.999994477300199
701.76826599446387e-053.53653198892774e-050.999982317340055
711.12397077662714e-052.24794155325427e-050.999988760292234
727.36117586729384e-061.47223517345877e-050.999992638824133
735.12580606225133e-061.02516121245027e-050.999994874193938
743.36275654119665e-066.72551308239329e-060.999996637243459
752.17099134585773e-064.34198269171546e-060.999997829008654
761.59425573695587e-063.18851147391174e-060.999998405744263
771.00538517237337e-062.01077034474675e-060.999998994614828
787.33382154852682e-071.46676430970536e-060.999999266617845
794.74968224548292e-079.49936449096584e-070.999999525031775
802.98452551689269e-075.96905103378538e-070.999999701547448
812.1874841414736e-074.37496828294721e-070.999999781251586
822.47227151318958e-074.94454302637915e-070.999999752772849
832.57125580465063e-075.14251160930126e-070.99999974287442
841.88687443784715e-073.7737488756943e-070.999999811312556
851.20899507264111e-072.41799014528221e-070.999999879100493
861.25333899978453e-072.50667799956906e-070.9999998746661
873.46011461698554e-076.92022923397109e-070.999999653988538
886.56955107596172e-071.31391021519234e-060.999999343044892
894.30057264390457e-078.60114528780914e-070.999999569942736
904.11900842345169e-078.23801684690339e-070.999999588099158
913.00106998633055e-076.0021399726611e-070.999999699893001
922.34180783003464e-074.68361566006928e-070.999999765819217
931.89517539707237e-073.79035079414474e-070.99999981048246
943.13940536483371e-076.27881072966742e-070.999999686059464
952.10482054924258e-074.20964109848516e-070.999999789517945
962.14902305751085e-074.29804611502171e-070.999999785097694
972.76019789779223e-075.52039579558446e-070.99999972398021
981.82120546810956e-073.64241093621912e-070.999999817879453
991.56151380603102e-073.12302761206203e-070.999999843848619
1001.07986149982258e-072.15972299964516e-070.99999989201385
1018.42342627042395e-081.68468525408479e-070.999999915765737
1021.01077088773595e-072.02154177547189e-070.999999898922911
1031.30673837872864e-072.61347675745728e-070.999999869326162
1042.38401989989433e-074.76803979978865e-070.99999976159801
1056.28015385482495e-050.0001256030770964990.999937198461452
1066.89589395530284e-050.0001379178791060570.999931041060447
1075.70101235910087e-050.0001140202471820170.999942989876409
1088.45456972873257e-050.0001690913945746510.999915454302713
1090.0003435521267794980.0006871042535589950.99965644787322
1100.004478132124809110.008956264249618210.995521867875191
1110.02369665025938660.04739330051877310.976303349740613
1120.06514616698415630.1302923339683130.934853833015844
1130.07121322720616710.1424264544123340.928786772793833
1140.1272435019538450.2544870039076910.872756498046155
1150.1554366830822680.3108733661645360.844563316917732
1160.1721296385636250.3442592771272490.827870361436375
1170.2310246753941520.4620493507883030.768975324605848
1180.2404151854219580.4808303708439170.759584814578042
1190.2249282728390450.449856545678090.775071727160955
1200.2093578804082430.4187157608164860.790642119591757
1210.2276387375338320.4552774750676630.772361262466168
1220.2174591722323060.4349183444646130.782540827767694
1230.2114291998789020.4228583997578040.788570800121098
1240.1966160357448210.3932320714896410.803383964255179
1250.2124166732447650.4248333464895310.787583326755235
1260.1923215304723950.3846430609447910.807678469527605
1270.1833363497091750.366672699418350.816663650290825
1280.1669595621043840.3339191242087680.833040437895616
1290.1518076614475020.3036153228950040.848192338552498
1300.1844938817652970.3689877635305930.815506118234703
1310.1960321776807690.3920643553615390.803967822319231
1320.2158719835149770.4317439670299550.784128016485023
1330.193871794217570.387743588435140.80612820578243
1340.1730178599694460.3460357199388910.826982140030554
1350.1624859303024510.3249718606049020.837514069697549
1360.143040696711560.286081393423120.85695930328844
1370.1254805317830920.2509610635661830.874519468216908
1380.1109923991793590.2219847983587180.889007600820641
1390.09705052932862210.1941010586572440.902949470671378
1400.08609673594342390.1721934718868480.913903264056576
1410.07620512703372270.1524102540674450.923794872966277
1420.06513468358461770.1302693671692350.934865316415382
1430.05550916244221850.1110183248844370.944490837557782
1440.0538652560190780.1077305120381560.946134743980922
1450.04814572373950770.09629144747901550.951854276260492
1460.04007568969799950.0801513793959990.959924310302001
1470.03322262341949580.06644524683899170.966777376580504
1480.02752075542450960.05504151084901920.97247924457549
1490.0225258924216040.04505178484320810.977474107578396
1500.02084009131468870.04168018262937740.979159908685311
1510.01752040513185870.03504081026371730.982479594868141
1520.01486241286438610.02972482572877220.985137587135614
1530.01776777637308810.03553555274617620.982232223626912
1540.01457237691173550.0291447538234710.985427623088264
1550.01440310513804850.02880621027609710.985596894861951
1560.01519103425290190.03038206850580380.984808965747098
1570.01236051636731020.02472103273462030.98763948363269
1580.01513950716179710.03027901432359420.984860492838203
1590.01298332668955540.02596665337911070.987016673310445
1600.01141006012268760.02282012024537530.988589939877312
1610.01247376786778460.02494753573556920.987526232132215
1620.0102216032736450.02044320654728990.989778396726355
1630.008096069267052930.01619213853410590.991903930732947
1640.006352942580252440.01270588516050490.993647057419748
1650.005176805651627090.01035361130325420.994823194348373
1660.004799084325421370.009598168650842740.995200915674579
1670.005687562518044040.01137512503608810.994312437481956
1680.005506430051793220.01101286010358640.994493569948207
1690.005041015659187150.01008203131837430.994958984340813
1700.01973602239125580.03947204478251150.980263977608744
1710.01584428895977470.03168857791954940.984155711040225
1720.01424414102100380.02848828204200770.985755858978996
1730.02251109699385190.04502219398770370.977488903006148
1740.02447183432786450.0489436686557290.975528165672136
1750.019911607273970.03982321454793990.98008839272603
1760.02116868685396580.04233737370793150.978831313146034
1770.03073109757535210.06146219515070410.969268902424648
1780.03973864116820010.07947728233640020.9602613588318
1790.0336698250000980.0673396500001960.966330174999902
1800.03229262136661740.06458524273323470.967707378633383
1810.03061673092301060.06123346184602120.969383269076989
1820.02495132575968780.04990265151937550.975048674240312
1830.02331143094842540.04662286189685080.976688569051575
1840.01865218146470270.03730436292940550.981347818535297
1850.01802221582272380.03604443164544760.981977784177276
1860.01429830553770620.02859661107541230.985701694462294
1870.01129133214264370.02258266428528740.988708667857356
1880.01952446908317420.03904893816634830.980475530916826
1890.01581299580694070.03162599161388150.984187004193059
1900.01881794244936910.03763588489873810.981182057550631
1910.01538015920395250.0307603184079050.984619840796047
1920.01818145400474680.03636290800949360.981818545995253
1930.01450389451318090.02900778902636190.985496105486819
1940.01277757497972130.02555514995944260.987222425020279
1950.01365975020929390.02731950041858780.986340249790706
1960.01291051167070470.02582102334140940.987089488329295
1970.01857078711060640.03714157422121270.981429212889394
1980.01478707972487320.02957415944974640.985212920275127
1990.01154550890367120.02309101780734240.988454491096329
2000.01194523951254480.02389047902508960.988054760487455
2010.009284685229673110.01856937045934620.990715314770327
2020.00757052209368580.01514104418737160.992429477906314
2030.008182043199581280.01636408639916260.991817956800419
2040.006245759362645440.01249151872529090.993754240637355
2050.005288049383390780.01057609876678160.994711950616609
2060.005217330170356450.01043466034071290.994782669829644
2070.004349997371328150.008699994742656290.995650002628672
2080.005017458339973520.0100349166799470.994982541660027
2090.006425155799779220.01285031159955840.993574844200221
2100.007267164921753380.01453432984350680.992732835078247
2110.005653016647829020.0113060332956580.994346983352171
2120.004254541902144970.008509083804289950.995745458097855
2130.01377308479716590.02754616959433180.986226915202834
2140.01317192700915450.02634385401830890.986828072990846
2150.01079916413025980.02159832826051960.98920083586974
2160.009169863143392030.01833972628678410.990830136856608
2170.007697134829350160.01539426965870030.99230286517065
2180.006028878178832370.01205775635766470.993971121821168
2190.009571940005104980.019143880010210.990428059994895
2200.02791576591596170.05583153183192340.972084234084038
2210.02264168989841610.04528337979683220.977358310101584
2220.3318586671111480.6637173342222960.668141332888852
2230.2903372988362010.5806745976724010.709662701163799
2240.3980105170645130.7960210341290250.601989482935487
2250.3600231576210980.7200463152421950.639976842378902
2260.3241720793088170.6483441586176340.675827920691183
2270.5266372524259710.9467254951480570.473362747574029
2280.4871858264667930.9743716529335850.512814173533207
2290.4418201249214340.8836402498428690.558179875078566
2300.448186438807980.896372877615960.55181356119202
2310.4115536419472250.823107283894450.588446358052775
2320.4052996750157530.8105993500315060.594700324984247
2330.5180264271898120.9639471456203760.481973572810188
2340.5168981981921020.9662036036157960.483101801807898
2350.5361727942267860.9276544115464280.463827205773214
2360.4857659344425820.9715318688851640.514234065557418
2370.4504180857132890.9008361714265780.549581914286711
2380.4626078918832030.9252157837664050.537392108116797
2390.497018556868520.994037113737040.50298144313148
2400.4397411187652960.8794822375305920.560258881234704
2410.3926355026401740.7852710052803490.607364497359826
2420.3418763874284830.6837527748569660.658123612571517
2430.2881063823508490.5762127647016990.711893617649151
2440.2670698559509340.5341397119018690.732930144049066
2450.2966278069950160.5932556139900320.703372193004984
2460.3097300882474780.6194601764949570.690269911752522
2470.2685302466243730.5370604932487470.731469753375627
2480.2154039022791060.4308078045582110.784596097720894
2490.183008350275850.36601670055170.81699164972415
2500.1603907871240230.3207815742480460.839609212875977
2510.3825956373612490.7651912747224980.617404362638751
2520.314262163756770.6285243275135390.68573783624323
2530.3647567338109050.729513467621810.635243266189095
2540.6497309668940940.7005380662118110.350269033105906
2550.6855049655958410.6289900688083190.314495034404159
2560.6510939971479410.6978120057041180.348906002852059
2570.6461032674085780.7077934651828440.353896732591422
2580.5854496041095670.8291007917808650.414550395890433
2590.5094012301866370.9811975396267260.490598769813363
2600.4206201244411430.8412402488822870.579379875558857
2610.4751859096472460.9503718192944920.524814090352754
2620.5104079718543270.9791840562913460.489592028145673

\begin{tabular}{lllllllll}
\hline
Goldfeld-Quandt test for Heteroskedasticity \tabularnewline
p-values & Alternative Hypothesis \tabularnewline
breakpoint index & greater & 2-sided & less \tabularnewline
7 & 0.177465209815986 & 0.354930419631973 & 0.822534790184014 \tabularnewline
8 & 0.0865147882530978 & 0.173029576506196 & 0.913485211746902 \tabularnewline
9 & 0.304364524404591 & 0.608729048809183 & 0.695635475595409 \tabularnewline
10 & 0.197703737690809 & 0.395407475381618 & 0.802296262309191 \tabularnewline
11 & 0.224227739832205 & 0.448455479664411 & 0.775772260167795 \tabularnewline
12 & 0.261784028066471 & 0.523568056132942 & 0.738215971933529 \tabularnewline
13 & 0.200795621866963 & 0.401591243733926 & 0.799204378133037 \tabularnewline
14 & 0.163488376047894 & 0.326976752095788 & 0.836511623952106 \tabularnewline
15 & 0.111362361245705 & 0.22272472249141 & 0.888637638754295 \tabularnewline
16 & 0.10252144682824 & 0.205042893656479 & 0.897478553171761 \tabularnewline
17 & 0.0708464990157324 & 0.141692998031465 & 0.929153500984268 \tabularnewline
18 & 0.092280555220313 & 0.184561110440626 & 0.907719444779687 \tabularnewline
19 & 0.0736549880506887 & 0.147309976101377 & 0.926345011949311 \tabularnewline
20 & 0.0488491137292946 & 0.0976982274585893 & 0.951150886270705 \tabularnewline
21 & 0.0424273539447285 & 0.0848547078894571 & 0.957572646055271 \tabularnewline
22 & 0.0281707534418721 & 0.0563415068837443 & 0.971829246558128 \tabularnewline
23 & 0.0187345197207731 & 0.0374690394415463 & 0.981265480279227 \tabularnewline
24 & 0.0119173304269897 & 0.0238346608539795 & 0.98808266957301 \tabularnewline
25 & 0.00792498528887661 & 0.0158499705777532 & 0.992075014711123 \tabularnewline
26 & 0.00490586919361226 & 0.00981173838722452 & 0.995094130806388 \tabularnewline
27 & 0.00377630388556975 & 0.00755260777113949 & 0.99622369611443 \tabularnewline
28 & 0.00265976981766356 & 0.00531953963532712 & 0.997340230182336 \tabularnewline
29 & 0.00169848334151033 & 0.00339696668302066 & 0.99830151665849 \tabularnewline
30 & 0.00110574935281991 & 0.00221149870563981 & 0.99889425064718 \tabularnewline
31 & 0.00180730923033009 & 0.00361461846066018 & 0.99819269076967 \tabularnewline
32 & 0.0010574523039853 & 0.00211490460797059 & 0.998942547696015 \tabularnewline
33 & 0.000838072853030683 & 0.00167614570606137 & 0.999161927146969 \tabularnewline
34 & 0.000604951833090264 & 0.00120990366618053 & 0.99939504816691 \tabularnewline
35 & 0.000546518788625457 & 0.00109303757725091 & 0.999453481211375 \tabularnewline
36 & 0.000516791777415736 & 0.00103358355483147 & 0.999483208222584 \tabularnewline
37 & 0.000418701951490204 & 0.000837403902980409 & 0.99958129804851 \tabularnewline
38 & 0.000342557605736116 & 0.000685115211472232 & 0.999657442394264 \tabularnewline
39 & 0.000242691515638676 & 0.000485383031277352 & 0.999757308484361 \tabularnewline
40 & 0.000329539656372426 & 0.000659079312744852 & 0.999670460343628 \tabularnewline
41 & 0.000194159119026974 & 0.000388318238053949 & 0.999805840880973 \tabularnewline
42 & 0.000285284360520826 & 0.000570568721041652 & 0.999714715639479 \tabularnewline
43 & 0.000234628983138244 & 0.000469257966276489 & 0.999765371016862 \tabularnewline
44 & 0.000174476216180947 & 0.000348952432361893 & 0.999825523783819 \tabularnewline
45 & 0.000675746671752781 & 0.00135149334350556 & 0.999324253328247 \tabularnewline
46 & 0.000473867406310915 & 0.00094773481262183 & 0.999526132593689 \tabularnewline
47 & 0.000295149852993874 & 0.000590299705987749 & 0.999704850147006 \tabularnewline
48 & 0.000187886560390272 & 0.000375773120780545 & 0.99981211343961 \tabularnewline
49 & 0.00011472907676817 & 0.00022945815353634 & 0.999885270923232 \tabularnewline
50 & 6.92836523764945e-05 & 0.000138567304752989 & 0.999930716347624 \tabularnewline
51 & 4.68988730964641e-05 & 9.37977461929282e-05 & 0.999953101126903 \tabularnewline
52 & 7.36164878732416e-05 & 0.000147232975746483 & 0.999926383512127 \tabularnewline
53 & 7.19297879782676e-05 & 0.000143859575956535 & 0.999928070212022 \tabularnewline
54 & 4.87391187354215e-05 & 9.74782374708429e-05 & 0.999951260881265 \tabularnewline
55 & 2.97392274772443e-05 & 5.94784549544887e-05 & 0.999970260772523 \tabularnewline
56 & 0.000137654413678145 & 0.000275308827356289 & 0.999862345586322 \tabularnewline
57 & 8.77093346266182e-05 & 0.000175418669253236 & 0.999912290665373 \tabularnewline
58 & 5.53548774335526e-05 & 0.000110709754867105 & 0.999944645122566 \tabularnewline
59 & 6.40537524097479e-05 & 0.000128107504819496 & 0.99993594624759 \tabularnewline
60 & 7.31603817761559e-05 & 0.000146320763552312 & 0.999926839618224 \tabularnewline
61 & 4.65246041564818e-05 & 9.30492083129636e-05 & 0.999953475395844 \tabularnewline
62 & 3.11977232155258e-05 & 6.23954464310516e-05 & 0.999968802276785 \tabularnewline
63 & 2.00045997384179e-05 & 4.00091994768357e-05 & 0.999979995400262 \tabularnewline
64 & 1.24181842341091e-05 & 2.48363684682181e-05 & 0.999987581815766 \tabularnewline
65 & 2.17978814057584e-05 & 4.35957628115167e-05 & 0.999978202118594 \tabularnewline
66 & 2.23363842817006e-05 & 4.46727685634012e-05 & 0.999977663615718 \tabularnewline
67 & 1.39404451180691e-05 & 2.78808902361383e-05 & 0.999986059554882 \tabularnewline
68 & 8.81526310690508e-06 & 1.76305262138102e-05 & 0.999991184736893 \tabularnewline
69 & 5.52269980116035e-06 & 1.10453996023207e-05 & 0.999994477300199 \tabularnewline
70 & 1.76826599446387e-05 & 3.53653198892774e-05 & 0.999982317340055 \tabularnewline
71 & 1.12397077662714e-05 & 2.24794155325427e-05 & 0.999988760292234 \tabularnewline
72 & 7.36117586729384e-06 & 1.47223517345877e-05 & 0.999992638824133 \tabularnewline
73 & 5.12580606225133e-06 & 1.02516121245027e-05 & 0.999994874193938 \tabularnewline
74 & 3.36275654119665e-06 & 6.72551308239329e-06 & 0.999996637243459 \tabularnewline
75 & 2.17099134585773e-06 & 4.34198269171546e-06 & 0.999997829008654 \tabularnewline
76 & 1.59425573695587e-06 & 3.18851147391174e-06 & 0.999998405744263 \tabularnewline
77 & 1.00538517237337e-06 & 2.01077034474675e-06 & 0.999998994614828 \tabularnewline
78 & 7.33382154852682e-07 & 1.46676430970536e-06 & 0.999999266617845 \tabularnewline
79 & 4.74968224548292e-07 & 9.49936449096584e-07 & 0.999999525031775 \tabularnewline
80 & 2.98452551689269e-07 & 5.96905103378538e-07 & 0.999999701547448 \tabularnewline
81 & 2.1874841414736e-07 & 4.37496828294721e-07 & 0.999999781251586 \tabularnewline
82 & 2.47227151318958e-07 & 4.94454302637915e-07 & 0.999999752772849 \tabularnewline
83 & 2.57125580465063e-07 & 5.14251160930126e-07 & 0.99999974287442 \tabularnewline
84 & 1.88687443784715e-07 & 3.7737488756943e-07 & 0.999999811312556 \tabularnewline
85 & 1.20899507264111e-07 & 2.41799014528221e-07 & 0.999999879100493 \tabularnewline
86 & 1.25333899978453e-07 & 2.50667799956906e-07 & 0.9999998746661 \tabularnewline
87 & 3.46011461698554e-07 & 6.92022923397109e-07 & 0.999999653988538 \tabularnewline
88 & 6.56955107596172e-07 & 1.31391021519234e-06 & 0.999999343044892 \tabularnewline
89 & 4.30057264390457e-07 & 8.60114528780914e-07 & 0.999999569942736 \tabularnewline
90 & 4.11900842345169e-07 & 8.23801684690339e-07 & 0.999999588099158 \tabularnewline
91 & 3.00106998633055e-07 & 6.0021399726611e-07 & 0.999999699893001 \tabularnewline
92 & 2.34180783003464e-07 & 4.68361566006928e-07 & 0.999999765819217 \tabularnewline
93 & 1.89517539707237e-07 & 3.79035079414474e-07 & 0.99999981048246 \tabularnewline
94 & 3.13940536483371e-07 & 6.27881072966742e-07 & 0.999999686059464 \tabularnewline
95 & 2.10482054924258e-07 & 4.20964109848516e-07 & 0.999999789517945 \tabularnewline
96 & 2.14902305751085e-07 & 4.29804611502171e-07 & 0.999999785097694 \tabularnewline
97 & 2.76019789779223e-07 & 5.52039579558446e-07 & 0.99999972398021 \tabularnewline
98 & 1.82120546810956e-07 & 3.64241093621912e-07 & 0.999999817879453 \tabularnewline
99 & 1.56151380603102e-07 & 3.12302761206203e-07 & 0.999999843848619 \tabularnewline
100 & 1.07986149982258e-07 & 2.15972299964516e-07 & 0.99999989201385 \tabularnewline
101 & 8.42342627042395e-08 & 1.68468525408479e-07 & 0.999999915765737 \tabularnewline
102 & 1.01077088773595e-07 & 2.02154177547189e-07 & 0.999999898922911 \tabularnewline
103 & 1.30673837872864e-07 & 2.61347675745728e-07 & 0.999999869326162 \tabularnewline
104 & 2.38401989989433e-07 & 4.76803979978865e-07 & 0.99999976159801 \tabularnewline
105 & 6.28015385482495e-05 & 0.000125603077096499 & 0.999937198461452 \tabularnewline
106 & 6.89589395530284e-05 & 0.000137917879106057 & 0.999931041060447 \tabularnewline
107 & 5.70101235910087e-05 & 0.000114020247182017 & 0.999942989876409 \tabularnewline
108 & 8.45456972873257e-05 & 0.000169091394574651 & 0.999915454302713 \tabularnewline
109 & 0.000343552126779498 & 0.000687104253558995 & 0.99965644787322 \tabularnewline
110 & 0.00447813212480911 & 0.00895626424961821 & 0.995521867875191 \tabularnewline
111 & 0.0236966502593866 & 0.0473933005187731 & 0.976303349740613 \tabularnewline
112 & 0.0651461669841563 & 0.130292333968313 & 0.934853833015844 \tabularnewline
113 & 0.0712132272061671 & 0.142426454412334 & 0.928786772793833 \tabularnewline
114 & 0.127243501953845 & 0.254487003907691 & 0.872756498046155 \tabularnewline
115 & 0.155436683082268 & 0.310873366164536 & 0.844563316917732 \tabularnewline
116 & 0.172129638563625 & 0.344259277127249 & 0.827870361436375 \tabularnewline
117 & 0.231024675394152 & 0.462049350788303 & 0.768975324605848 \tabularnewline
118 & 0.240415185421958 & 0.480830370843917 & 0.759584814578042 \tabularnewline
119 & 0.224928272839045 & 0.44985654567809 & 0.775071727160955 \tabularnewline
120 & 0.209357880408243 & 0.418715760816486 & 0.790642119591757 \tabularnewline
121 & 0.227638737533832 & 0.455277475067663 & 0.772361262466168 \tabularnewline
122 & 0.217459172232306 & 0.434918344464613 & 0.782540827767694 \tabularnewline
123 & 0.211429199878902 & 0.422858399757804 & 0.788570800121098 \tabularnewline
124 & 0.196616035744821 & 0.393232071489641 & 0.803383964255179 \tabularnewline
125 & 0.212416673244765 & 0.424833346489531 & 0.787583326755235 \tabularnewline
126 & 0.192321530472395 & 0.384643060944791 & 0.807678469527605 \tabularnewline
127 & 0.183336349709175 & 0.36667269941835 & 0.816663650290825 \tabularnewline
128 & 0.166959562104384 & 0.333919124208768 & 0.833040437895616 \tabularnewline
129 & 0.151807661447502 & 0.303615322895004 & 0.848192338552498 \tabularnewline
130 & 0.184493881765297 & 0.368987763530593 & 0.815506118234703 \tabularnewline
131 & 0.196032177680769 & 0.392064355361539 & 0.803967822319231 \tabularnewline
132 & 0.215871983514977 & 0.431743967029955 & 0.784128016485023 \tabularnewline
133 & 0.19387179421757 & 0.38774358843514 & 0.80612820578243 \tabularnewline
134 & 0.173017859969446 & 0.346035719938891 & 0.826982140030554 \tabularnewline
135 & 0.162485930302451 & 0.324971860604902 & 0.837514069697549 \tabularnewline
136 & 0.14304069671156 & 0.28608139342312 & 0.85695930328844 \tabularnewline
137 & 0.125480531783092 & 0.250961063566183 & 0.874519468216908 \tabularnewline
138 & 0.110992399179359 & 0.221984798358718 & 0.889007600820641 \tabularnewline
139 & 0.0970505293286221 & 0.194101058657244 & 0.902949470671378 \tabularnewline
140 & 0.0860967359434239 & 0.172193471886848 & 0.913903264056576 \tabularnewline
141 & 0.0762051270337227 & 0.152410254067445 & 0.923794872966277 \tabularnewline
142 & 0.0651346835846177 & 0.130269367169235 & 0.934865316415382 \tabularnewline
143 & 0.0555091624422185 & 0.111018324884437 & 0.944490837557782 \tabularnewline
144 & 0.053865256019078 & 0.107730512038156 & 0.946134743980922 \tabularnewline
145 & 0.0481457237395077 & 0.0962914474790155 & 0.951854276260492 \tabularnewline
146 & 0.0400756896979995 & 0.080151379395999 & 0.959924310302001 \tabularnewline
147 & 0.0332226234194958 & 0.0664452468389917 & 0.966777376580504 \tabularnewline
148 & 0.0275207554245096 & 0.0550415108490192 & 0.97247924457549 \tabularnewline
149 & 0.022525892421604 & 0.0450517848432081 & 0.977474107578396 \tabularnewline
150 & 0.0208400913146887 & 0.0416801826293774 & 0.979159908685311 \tabularnewline
151 & 0.0175204051318587 & 0.0350408102637173 & 0.982479594868141 \tabularnewline
152 & 0.0148624128643861 & 0.0297248257287722 & 0.985137587135614 \tabularnewline
153 & 0.0177677763730881 & 0.0355355527461762 & 0.982232223626912 \tabularnewline
154 & 0.0145723769117355 & 0.029144753823471 & 0.985427623088264 \tabularnewline
155 & 0.0144031051380485 & 0.0288062102760971 & 0.985596894861951 \tabularnewline
156 & 0.0151910342529019 & 0.0303820685058038 & 0.984808965747098 \tabularnewline
157 & 0.0123605163673102 & 0.0247210327346203 & 0.98763948363269 \tabularnewline
158 & 0.0151395071617971 & 0.0302790143235942 & 0.984860492838203 \tabularnewline
159 & 0.0129833266895554 & 0.0259666533791107 & 0.987016673310445 \tabularnewline
160 & 0.0114100601226876 & 0.0228201202453753 & 0.988589939877312 \tabularnewline
161 & 0.0124737678677846 & 0.0249475357355692 & 0.987526232132215 \tabularnewline
162 & 0.010221603273645 & 0.0204432065472899 & 0.989778396726355 \tabularnewline
163 & 0.00809606926705293 & 0.0161921385341059 & 0.991903930732947 \tabularnewline
164 & 0.00635294258025244 & 0.0127058851605049 & 0.993647057419748 \tabularnewline
165 & 0.00517680565162709 & 0.0103536113032542 & 0.994823194348373 \tabularnewline
166 & 0.00479908432542137 & 0.00959816865084274 & 0.995200915674579 \tabularnewline
167 & 0.00568756251804404 & 0.0113751250360881 & 0.994312437481956 \tabularnewline
168 & 0.00550643005179322 & 0.0110128601035864 & 0.994493569948207 \tabularnewline
169 & 0.00504101565918715 & 0.0100820313183743 & 0.994958984340813 \tabularnewline
170 & 0.0197360223912558 & 0.0394720447825115 & 0.980263977608744 \tabularnewline
171 & 0.0158442889597747 & 0.0316885779195494 & 0.984155711040225 \tabularnewline
172 & 0.0142441410210038 & 0.0284882820420077 & 0.985755858978996 \tabularnewline
173 & 0.0225110969938519 & 0.0450221939877037 & 0.977488903006148 \tabularnewline
174 & 0.0244718343278645 & 0.048943668655729 & 0.975528165672136 \tabularnewline
175 & 0.01991160727397 & 0.0398232145479399 & 0.98008839272603 \tabularnewline
176 & 0.0211686868539658 & 0.0423373737079315 & 0.978831313146034 \tabularnewline
177 & 0.0307310975753521 & 0.0614621951507041 & 0.969268902424648 \tabularnewline
178 & 0.0397386411682001 & 0.0794772823364002 & 0.9602613588318 \tabularnewline
179 & 0.033669825000098 & 0.067339650000196 & 0.966330174999902 \tabularnewline
180 & 0.0322926213666174 & 0.0645852427332347 & 0.967707378633383 \tabularnewline
181 & 0.0306167309230106 & 0.0612334618460212 & 0.969383269076989 \tabularnewline
182 & 0.0249513257596878 & 0.0499026515193755 & 0.975048674240312 \tabularnewline
183 & 0.0233114309484254 & 0.0466228618968508 & 0.976688569051575 \tabularnewline
184 & 0.0186521814647027 & 0.0373043629294055 & 0.981347818535297 \tabularnewline
185 & 0.0180222158227238 & 0.0360444316454476 & 0.981977784177276 \tabularnewline
186 & 0.0142983055377062 & 0.0285966110754123 & 0.985701694462294 \tabularnewline
187 & 0.0112913321426437 & 0.0225826642852874 & 0.988708667857356 \tabularnewline
188 & 0.0195244690831742 & 0.0390489381663483 & 0.980475530916826 \tabularnewline
189 & 0.0158129958069407 & 0.0316259916138815 & 0.984187004193059 \tabularnewline
190 & 0.0188179424493691 & 0.0376358848987381 & 0.981182057550631 \tabularnewline
191 & 0.0153801592039525 & 0.030760318407905 & 0.984619840796047 \tabularnewline
192 & 0.0181814540047468 & 0.0363629080094936 & 0.981818545995253 \tabularnewline
193 & 0.0145038945131809 & 0.0290077890263619 & 0.985496105486819 \tabularnewline
194 & 0.0127775749797213 & 0.0255551499594426 & 0.987222425020279 \tabularnewline
195 & 0.0136597502092939 & 0.0273195004185878 & 0.986340249790706 \tabularnewline
196 & 0.0129105116707047 & 0.0258210233414094 & 0.987089488329295 \tabularnewline
197 & 0.0185707871106064 & 0.0371415742212127 & 0.981429212889394 \tabularnewline
198 & 0.0147870797248732 & 0.0295741594497464 & 0.985212920275127 \tabularnewline
199 & 0.0115455089036712 & 0.0230910178073424 & 0.988454491096329 \tabularnewline
200 & 0.0119452395125448 & 0.0238904790250896 & 0.988054760487455 \tabularnewline
201 & 0.00928468522967311 & 0.0185693704593462 & 0.990715314770327 \tabularnewline
202 & 0.0075705220936858 & 0.0151410441873716 & 0.992429477906314 \tabularnewline
203 & 0.00818204319958128 & 0.0163640863991626 & 0.991817956800419 \tabularnewline
204 & 0.00624575936264544 & 0.0124915187252909 & 0.993754240637355 \tabularnewline
205 & 0.00528804938339078 & 0.0105760987667816 & 0.994711950616609 \tabularnewline
206 & 0.00521733017035645 & 0.0104346603407129 & 0.994782669829644 \tabularnewline
207 & 0.00434999737132815 & 0.00869999474265629 & 0.995650002628672 \tabularnewline
208 & 0.00501745833997352 & 0.010034916679947 & 0.994982541660027 \tabularnewline
209 & 0.00642515579977922 & 0.0128503115995584 & 0.993574844200221 \tabularnewline
210 & 0.00726716492175338 & 0.0145343298435068 & 0.992732835078247 \tabularnewline
211 & 0.00565301664782902 & 0.011306033295658 & 0.994346983352171 \tabularnewline
212 & 0.00425454190214497 & 0.00850908380428995 & 0.995745458097855 \tabularnewline
213 & 0.0137730847971659 & 0.0275461695943318 & 0.986226915202834 \tabularnewline
214 & 0.0131719270091545 & 0.0263438540183089 & 0.986828072990846 \tabularnewline
215 & 0.0107991641302598 & 0.0215983282605196 & 0.98920083586974 \tabularnewline
216 & 0.00916986314339203 & 0.0183397262867841 & 0.990830136856608 \tabularnewline
217 & 0.00769713482935016 & 0.0153942696587003 & 0.99230286517065 \tabularnewline
218 & 0.00602887817883237 & 0.0120577563576647 & 0.993971121821168 \tabularnewline
219 & 0.00957194000510498 & 0.01914388001021 & 0.990428059994895 \tabularnewline
220 & 0.0279157659159617 & 0.0558315318319234 & 0.972084234084038 \tabularnewline
221 & 0.0226416898984161 & 0.0452833797968322 & 0.977358310101584 \tabularnewline
222 & 0.331858667111148 & 0.663717334222296 & 0.668141332888852 \tabularnewline
223 & 0.290337298836201 & 0.580674597672401 & 0.709662701163799 \tabularnewline
224 & 0.398010517064513 & 0.796021034129025 & 0.601989482935487 \tabularnewline
225 & 0.360023157621098 & 0.720046315242195 & 0.639976842378902 \tabularnewline
226 & 0.324172079308817 & 0.648344158617634 & 0.675827920691183 \tabularnewline
227 & 0.526637252425971 & 0.946725495148057 & 0.473362747574029 \tabularnewline
228 & 0.487185826466793 & 0.974371652933585 & 0.512814173533207 \tabularnewline
229 & 0.441820124921434 & 0.883640249842869 & 0.558179875078566 \tabularnewline
230 & 0.44818643880798 & 0.89637287761596 & 0.55181356119202 \tabularnewline
231 & 0.411553641947225 & 0.82310728389445 & 0.588446358052775 \tabularnewline
232 & 0.405299675015753 & 0.810599350031506 & 0.594700324984247 \tabularnewline
233 & 0.518026427189812 & 0.963947145620376 & 0.481973572810188 \tabularnewline
234 & 0.516898198192102 & 0.966203603615796 & 0.483101801807898 \tabularnewline
235 & 0.536172794226786 & 0.927654411546428 & 0.463827205773214 \tabularnewline
236 & 0.485765934442582 & 0.971531868885164 & 0.514234065557418 \tabularnewline
237 & 0.450418085713289 & 0.900836171426578 & 0.549581914286711 \tabularnewline
238 & 0.462607891883203 & 0.925215783766405 & 0.537392108116797 \tabularnewline
239 & 0.49701855686852 & 0.99403711373704 & 0.50298144313148 \tabularnewline
240 & 0.439741118765296 & 0.879482237530592 & 0.560258881234704 \tabularnewline
241 & 0.392635502640174 & 0.785271005280349 & 0.607364497359826 \tabularnewline
242 & 0.341876387428483 & 0.683752774856966 & 0.658123612571517 \tabularnewline
243 & 0.288106382350849 & 0.576212764701699 & 0.711893617649151 \tabularnewline
244 & 0.267069855950934 & 0.534139711901869 & 0.732930144049066 \tabularnewline
245 & 0.296627806995016 & 0.593255613990032 & 0.703372193004984 \tabularnewline
246 & 0.309730088247478 & 0.619460176494957 & 0.690269911752522 \tabularnewline
247 & 0.268530246624373 & 0.537060493248747 & 0.731469753375627 \tabularnewline
248 & 0.215403902279106 & 0.430807804558211 & 0.784596097720894 \tabularnewline
249 & 0.18300835027585 & 0.3660167005517 & 0.81699164972415 \tabularnewline
250 & 0.160390787124023 & 0.320781574248046 & 0.839609212875977 \tabularnewline
251 & 0.382595637361249 & 0.765191274722498 & 0.617404362638751 \tabularnewline
252 & 0.31426216375677 & 0.628524327513539 & 0.68573783624323 \tabularnewline
253 & 0.364756733810905 & 0.72951346762181 & 0.635243266189095 \tabularnewline
254 & 0.649730966894094 & 0.700538066211811 & 0.350269033105906 \tabularnewline
255 & 0.685504965595841 & 0.628990068808319 & 0.314495034404159 \tabularnewline
256 & 0.651093997147941 & 0.697812005704118 & 0.348906002852059 \tabularnewline
257 & 0.646103267408578 & 0.707793465182844 & 0.353896732591422 \tabularnewline
258 & 0.585449604109567 & 0.829100791780865 & 0.414550395890433 \tabularnewline
259 & 0.509401230186637 & 0.981197539626726 & 0.490598769813363 \tabularnewline
260 & 0.420620124441143 & 0.841240248882287 & 0.579379875558857 \tabularnewline
261 & 0.475185909647246 & 0.950371819294492 & 0.524814090352754 \tabularnewline
262 & 0.510407971854327 & 0.979184056291346 & 0.489592028145673 \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=205530&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]7[/C][C]0.177465209815986[/C][C]0.354930419631973[/C][C]0.822534790184014[/C][/ROW]
[ROW][C]8[/C][C]0.0865147882530978[/C][C]0.173029576506196[/C][C]0.913485211746902[/C][/ROW]
[ROW][C]9[/C][C]0.304364524404591[/C][C]0.608729048809183[/C][C]0.695635475595409[/C][/ROW]
[ROW][C]10[/C][C]0.197703737690809[/C][C]0.395407475381618[/C][C]0.802296262309191[/C][/ROW]
[ROW][C]11[/C][C]0.224227739832205[/C][C]0.448455479664411[/C][C]0.775772260167795[/C][/ROW]
[ROW][C]12[/C][C]0.261784028066471[/C][C]0.523568056132942[/C][C]0.738215971933529[/C][/ROW]
[ROW][C]13[/C][C]0.200795621866963[/C][C]0.401591243733926[/C][C]0.799204378133037[/C][/ROW]
[ROW][C]14[/C][C]0.163488376047894[/C][C]0.326976752095788[/C][C]0.836511623952106[/C][/ROW]
[ROW][C]15[/C][C]0.111362361245705[/C][C]0.22272472249141[/C][C]0.888637638754295[/C][/ROW]
[ROW][C]16[/C][C]0.10252144682824[/C][C]0.205042893656479[/C][C]0.897478553171761[/C][/ROW]
[ROW][C]17[/C][C]0.0708464990157324[/C][C]0.141692998031465[/C][C]0.929153500984268[/C][/ROW]
[ROW][C]18[/C][C]0.092280555220313[/C][C]0.184561110440626[/C][C]0.907719444779687[/C][/ROW]
[ROW][C]19[/C][C]0.0736549880506887[/C][C]0.147309976101377[/C][C]0.926345011949311[/C][/ROW]
[ROW][C]20[/C][C]0.0488491137292946[/C][C]0.0976982274585893[/C][C]0.951150886270705[/C][/ROW]
[ROW][C]21[/C][C]0.0424273539447285[/C][C]0.0848547078894571[/C][C]0.957572646055271[/C][/ROW]
[ROW][C]22[/C][C]0.0281707534418721[/C][C]0.0563415068837443[/C][C]0.971829246558128[/C][/ROW]
[ROW][C]23[/C][C]0.0187345197207731[/C][C]0.0374690394415463[/C][C]0.981265480279227[/C][/ROW]
[ROW][C]24[/C][C]0.0119173304269897[/C][C]0.0238346608539795[/C][C]0.98808266957301[/C][/ROW]
[ROW][C]25[/C][C]0.00792498528887661[/C][C]0.0158499705777532[/C][C]0.992075014711123[/C][/ROW]
[ROW][C]26[/C][C]0.00490586919361226[/C][C]0.00981173838722452[/C][C]0.995094130806388[/C][/ROW]
[ROW][C]27[/C][C]0.00377630388556975[/C][C]0.00755260777113949[/C][C]0.99622369611443[/C][/ROW]
[ROW][C]28[/C][C]0.00265976981766356[/C][C]0.00531953963532712[/C][C]0.997340230182336[/C][/ROW]
[ROW][C]29[/C][C]0.00169848334151033[/C][C]0.00339696668302066[/C][C]0.99830151665849[/C][/ROW]
[ROW][C]30[/C][C]0.00110574935281991[/C][C]0.00221149870563981[/C][C]0.99889425064718[/C][/ROW]
[ROW][C]31[/C][C]0.00180730923033009[/C][C]0.00361461846066018[/C][C]0.99819269076967[/C][/ROW]
[ROW][C]32[/C][C]0.0010574523039853[/C][C]0.00211490460797059[/C][C]0.998942547696015[/C][/ROW]
[ROW][C]33[/C][C]0.000838072853030683[/C][C]0.00167614570606137[/C][C]0.999161927146969[/C][/ROW]
[ROW][C]34[/C][C]0.000604951833090264[/C][C]0.00120990366618053[/C][C]0.99939504816691[/C][/ROW]
[ROW][C]35[/C][C]0.000546518788625457[/C][C]0.00109303757725091[/C][C]0.999453481211375[/C][/ROW]
[ROW][C]36[/C][C]0.000516791777415736[/C][C]0.00103358355483147[/C][C]0.999483208222584[/C][/ROW]
[ROW][C]37[/C][C]0.000418701951490204[/C][C]0.000837403902980409[/C][C]0.99958129804851[/C][/ROW]
[ROW][C]38[/C][C]0.000342557605736116[/C][C]0.000685115211472232[/C][C]0.999657442394264[/C][/ROW]
[ROW][C]39[/C][C]0.000242691515638676[/C][C]0.000485383031277352[/C][C]0.999757308484361[/C][/ROW]
[ROW][C]40[/C][C]0.000329539656372426[/C][C]0.000659079312744852[/C][C]0.999670460343628[/C][/ROW]
[ROW][C]41[/C][C]0.000194159119026974[/C][C]0.000388318238053949[/C][C]0.999805840880973[/C][/ROW]
[ROW][C]42[/C][C]0.000285284360520826[/C][C]0.000570568721041652[/C][C]0.999714715639479[/C][/ROW]
[ROW][C]43[/C][C]0.000234628983138244[/C][C]0.000469257966276489[/C][C]0.999765371016862[/C][/ROW]
[ROW][C]44[/C][C]0.000174476216180947[/C][C]0.000348952432361893[/C][C]0.999825523783819[/C][/ROW]
[ROW][C]45[/C][C]0.000675746671752781[/C][C]0.00135149334350556[/C][C]0.999324253328247[/C][/ROW]
[ROW][C]46[/C][C]0.000473867406310915[/C][C]0.00094773481262183[/C][C]0.999526132593689[/C][/ROW]
[ROW][C]47[/C][C]0.000295149852993874[/C][C]0.000590299705987749[/C][C]0.999704850147006[/C][/ROW]
[ROW][C]48[/C][C]0.000187886560390272[/C][C]0.000375773120780545[/C][C]0.99981211343961[/C][/ROW]
[ROW][C]49[/C][C]0.00011472907676817[/C][C]0.00022945815353634[/C][C]0.999885270923232[/C][/ROW]
[ROW][C]50[/C][C]6.92836523764945e-05[/C][C]0.000138567304752989[/C][C]0.999930716347624[/C][/ROW]
[ROW][C]51[/C][C]4.68988730964641e-05[/C][C]9.37977461929282e-05[/C][C]0.999953101126903[/C][/ROW]
[ROW][C]52[/C][C]7.36164878732416e-05[/C][C]0.000147232975746483[/C][C]0.999926383512127[/C][/ROW]
[ROW][C]53[/C][C]7.19297879782676e-05[/C][C]0.000143859575956535[/C][C]0.999928070212022[/C][/ROW]
[ROW][C]54[/C][C]4.87391187354215e-05[/C][C]9.74782374708429e-05[/C][C]0.999951260881265[/C][/ROW]
[ROW][C]55[/C][C]2.97392274772443e-05[/C][C]5.94784549544887e-05[/C][C]0.999970260772523[/C][/ROW]
[ROW][C]56[/C][C]0.000137654413678145[/C][C]0.000275308827356289[/C][C]0.999862345586322[/C][/ROW]
[ROW][C]57[/C][C]8.77093346266182e-05[/C][C]0.000175418669253236[/C][C]0.999912290665373[/C][/ROW]
[ROW][C]58[/C][C]5.53548774335526e-05[/C][C]0.000110709754867105[/C][C]0.999944645122566[/C][/ROW]
[ROW][C]59[/C][C]6.40537524097479e-05[/C][C]0.000128107504819496[/C][C]0.99993594624759[/C][/ROW]
[ROW][C]60[/C][C]7.31603817761559e-05[/C][C]0.000146320763552312[/C][C]0.999926839618224[/C][/ROW]
[ROW][C]61[/C][C]4.65246041564818e-05[/C][C]9.30492083129636e-05[/C][C]0.999953475395844[/C][/ROW]
[ROW][C]62[/C][C]3.11977232155258e-05[/C][C]6.23954464310516e-05[/C][C]0.999968802276785[/C][/ROW]
[ROW][C]63[/C][C]2.00045997384179e-05[/C][C]4.00091994768357e-05[/C][C]0.999979995400262[/C][/ROW]
[ROW][C]64[/C][C]1.24181842341091e-05[/C][C]2.48363684682181e-05[/C][C]0.999987581815766[/C][/ROW]
[ROW][C]65[/C][C]2.17978814057584e-05[/C][C]4.35957628115167e-05[/C][C]0.999978202118594[/C][/ROW]
[ROW][C]66[/C][C]2.23363842817006e-05[/C][C]4.46727685634012e-05[/C][C]0.999977663615718[/C][/ROW]
[ROW][C]67[/C][C]1.39404451180691e-05[/C][C]2.78808902361383e-05[/C][C]0.999986059554882[/C][/ROW]
[ROW][C]68[/C][C]8.81526310690508e-06[/C][C]1.76305262138102e-05[/C][C]0.999991184736893[/C][/ROW]
[ROW][C]69[/C][C]5.52269980116035e-06[/C][C]1.10453996023207e-05[/C][C]0.999994477300199[/C][/ROW]
[ROW][C]70[/C][C]1.76826599446387e-05[/C][C]3.53653198892774e-05[/C][C]0.999982317340055[/C][/ROW]
[ROW][C]71[/C][C]1.12397077662714e-05[/C][C]2.24794155325427e-05[/C][C]0.999988760292234[/C][/ROW]
[ROW][C]72[/C][C]7.36117586729384e-06[/C][C]1.47223517345877e-05[/C][C]0.999992638824133[/C][/ROW]
[ROW][C]73[/C][C]5.12580606225133e-06[/C][C]1.02516121245027e-05[/C][C]0.999994874193938[/C][/ROW]
[ROW][C]74[/C][C]3.36275654119665e-06[/C][C]6.72551308239329e-06[/C][C]0.999996637243459[/C][/ROW]
[ROW][C]75[/C][C]2.17099134585773e-06[/C][C]4.34198269171546e-06[/C][C]0.999997829008654[/C][/ROW]
[ROW][C]76[/C][C]1.59425573695587e-06[/C][C]3.18851147391174e-06[/C][C]0.999998405744263[/C][/ROW]
[ROW][C]77[/C][C]1.00538517237337e-06[/C][C]2.01077034474675e-06[/C][C]0.999998994614828[/C][/ROW]
[ROW][C]78[/C][C]7.33382154852682e-07[/C][C]1.46676430970536e-06[/C][C]0.999999266617845[/C][/ROW]
[ROW][C]79[/C][C]4.74968224548292e-07[/C][C]9.49936449096584e-07[/C][C]0.999999525031775[/C][/ROW]
[ROW][C]80[/C][C]2.98452551689269e-07[/C][C]5.96905103378538e-07[/C][C]0.999999701547448[/C][/ROW]
[ROW][C]81[/C][C]2.1874841414736e-07[/C][C]4.37496828294721e-07[/C][C]0.999999781251586[/C][/ROW]
[ROW][C]82[/C][C]2.47227151318958e-07[/C][C]4.94454302637915e-07[/C][C]0.999999752772849[/C][/ROW]
[ROW][C]83[/C][C]2.57125580465063e-07[/C][C]5.14251160930126e-07[/C][C]0.99999974287442[/C][/ROW]
[ROW][C]84[/C][C]1.88687443784715e-07[/C][C]3.7737488756943e-07[/C][C]0.999999811312556[/C][/ROW]
[ROW][C]85[/C][C]1.20899507264111e-07[/C][C]2.41799014528221e-07[/C][C]0.999999879100493[/C][/ROW]
[ROW][C]86[/C][C]1.25333899978453e-07[/C][C]2.50667799956906e-07[/C][C]0.9999998746661[/C][/ROW]
[ROW][C]87[/C][C]3.46011461698554e-07[/C][C]6.92022923397109e-07[/C][C]0.999999653988538[/C][/ROW]
[ROW][C]88[/C][C]6.56955107596172e-07[/C][C]1.31391021519234e-06[/C][C]0.999999343044892[/C][/ROW]
[ROW][C]89[/C][C]4.30057264390457e-07[/C][C]8.60114528780914e-07[/C][C]0.999999569942736[/C][/ROW]
[ROW][C]90[/C][C]4.11900842345169e-07[/C][C]8.23801684690339e-07[/C][C]0.999999588099158[/C][/ROW]
[ROW][C]91[/C][C]3.00106998633055e-07[/C][C]6.0021399726611e-07[/C][C]0.999999699893001[/C][/ROW]
[ROW][C]92[/C][C]2.34180783003464e-07[/C][C]4.68361566006928e-07[/C][C]0.999999765819217[/C][/ROW]
[ROW][C]93[/C][C]1.89517539707237e-07[/C][C]3.79035079414474e-07[/C][C]0.99999981048246[/C][/ROW]
[ROW][C]94[/C][C]3.13940536483371e-07[/C][C]6.27881072966742e-07[/C][C]0.999999686059464[/C][/ROW]
[ROW][C]95[/C][C]2.10482054924258e-07[/C][C]4.20964109848516e-07[/C][C]0.999999789517945[/C][/ROW]
[ROW][C]96[/C][C]2.14902305751085e-07[/C][C]4.29804611502171e-07[/C][C]0.999999785097694[/C][/ROW]
[ROW][C]97[/C][C]2.76019789779223e-07[/C][C]5.52039579558446e-07[/C][C]0.99999972398021[/C][/ROW]
[ROW][C]98[/C][C]1.82120546810956e-07[/C][C]3.64241093621912e-07[/C][C]0.999999817879453[/C][/ROW]
[ROW][C]99[/C][C]1.56151380603102e-07[/C][C]3.12302761206203e-07[/C][C]0.999999843848619[/C][/ROW]
[ROW][C]100[/C][C]1.07986149982258e-07[/C][C]2.15972299964516e-07[/C][C]0.99999989201385[/C][/ROW]
[ROW][C]101[/C][C]8.42342627042395e-08[/C][C]1.68468525408479e-07[/C][C]0.999999915765737[/C][/ROW]
[ROW][C]102[/C][C]1.01077088773595e-07[/C][C]2.02154177547189e-07[/C][C]0.999999898922911[/C][/ROW]
[ROW][C]103[/C][C]1.30673837872864e-07[/C][C]2.61347675745728e-07[/C][C]0.999999869326162[/C][/ROW]
[ROW][C]104[/C][C]2.38401989989433e-07[/C][C]4.76803979978865e-07[/C][C]0.99999976159801[/C][/ROW]
[ROW][C]105[/C][C]6.28015385482495e-05[/C][C]0.000125603077096499[/C][C]0.999937198461452[/C][/ROW]
[ROW][C]106[/C][C]6.89589395530284e-05[/C][C]0.000137917879106057[/C][C]0.999931041060447[/C][/ROW]
[ROW][C]107[/C][C]5.70101235910087e-05[/C][C]0.000114020247182017[/C][C]0.999942989876409[/C][/ROW]
[ROW][C]108[/C][C]8.45456972873257e-05[/C][C]0.000169091394574651[/C][C]0.999915454302713[/C][/ROW]
[ROW][C]109[/C][C]0.000343552126779498[/C][C]0.000687104253558995[/C][C]0.99965644787322[/C][/ROW]
[ROW][C]110[/C][C]0.00447813212480911[/C][C]0.00895626424961821[/C][C]0.995521867875191[/C][/ROW]
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[ROW][C]114[/C][C]0.127243501953845[/C][C]0.254487003907691[/C][C]0.872756498046155[/C][/ROW]
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[ROW][C]116[/C][C]0.172129638563625[/C][C]0.344259277127249[/C][C]0.827870361436375[/C][/ROW]
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[ROW][C]119[/C][C]0.224928272839045[/C][C]0.44985654567809[/C][C]0.775071727160955[/C][/ROW]
[ROW][C]120[/C][C]0.209357880408243[/C][C]0.418715760816486[/C][C]0.790642119591757[/C][/ROW]
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[ROW][C]204[/C][C]0.00624575936264544[/C][C]0.0124915187252909[/C][C]0.993754240637355[/C][/ROW]
[ROW][C]205[/C][C]0.00528804938339078[/C][C]0.0105760987667816[/C][C]0.994711950616609[/C][/ROW]
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[ROW][C]207[/C][C]0.00434999737132815[/C][C]0.00869999474265629[/C][C]0.995650002628672[/C][/ROW]
[ROW][C]208[/C][C]0.00501745833997352[/C][C]0.010034916679947[/C][C]0.994982541660027[/C][/ROW]
[ROW][C]209[/C][C]0.00642515579977922[/C][C]0.0128503115995584[/C][C]0.993574844200221[/C][/ROW]
[ROW][C]210[/C][C]0.00726716492175338[/C][C]0.0145343298435068[/C][C]0.992732835078247[/C][/ROW]
[ROW][C]211[/C][C]0.00565301664782902[/C][C]0.011306033295658[/C][C]0.994346983352171[/C][/ROW]
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[ROW][C]213[/C][C]0.0137730847971659[/C][C]0.0275461695943318[/C][C]0.986226915202834[/C][/ROW]
[ROW][C]214[/C][C]0.0131719270091545[/C][C]0.0263438540183089[/C][C]0.986828072990846[/C][/ROW]
[ROW][C]215[/C][C]0.0107991641302598[/C][C]0.0215983282605196[/C][C]0.98920083586974[/C][/ROW]
[ROW][C]216[/C][C]0.00916986314339203[/C][C]0.0183397262867841[/C][C]0.990830136856608[/C][/ROW]
[ROW][C]217[/C][C]0.00769713482935016[/C][C]0.0153942696587003[/C][C]0.99230286517065[/C][/ROW]
[ROW][C]218[/C][C]0.00602887817883237[/C][C]0.0120577563576647[/C][C]0.993971121821168[/C][/ROW]
[ROW][C]219[/C][C]0.00957194000510498[/C][C]0.01914388001021[/C][C]0.990428059994895[/C][/ROW]
[ROW][C]220[/C][C]0.0279157659159617[/C][C]0.0558315318319234[/C][C]0.972084234084038[/C][/ROW]
[ROW][C]221[/C][C]0.0226416898984161[/C][C]0.0452833797968322[/C][C]0.977358310101584[/C][/ROW]
[ROW][C]222[/C][C]0.331858667111148[/C][C]0.663717334222296[/C][C]0.668141332888852[/C][/ROW]
[ROW][C]223[/C][C]0.290337298836201[/C][C]0.580674597672401[/C][C]0.709662701163799[/C][/ROW]
[ROW][C]224[/C][C]0.398010517064513[/C][C]0.796021034129025[/C][C]0.601989482935487[/C][/ROW]
[ROW][C]225[/C][C]0.360023157621098[/C][C]0.720046315242195[/C][C]0.639976842378902[/C][/ROW]
[ROW][C]226[/C][C]0.324172079308817[/C][C]0.648344158617634[/C][C]0.675827920691183[/C][/ROW]
[ROW][C]227[/C][C]0.526637252425971[/C][C]0.946725495148057[/C][C]0.473362747574029[/C][/ROW]
[ROW][C]228[/C][C]0.487185826466793[/C][C]0.974371652933585[/C][C]0.512814173533207[/C][/ROW]
[ROW][C]229[/C][C]0.441820124921434[/C][C]0.883640249842869[/C][C]0.558179875078566[/C][/ROW]
[ROW][C]230[/C][C]0.44818643880798[/C][C]0.89637287761596[/C][C]0.55181356119202[/C][/ROW]
[ROW][C]231[/C][C]0.411553641947225[/C][C]0.82310728389445[/C][C]0.588446358052775[/C][/ROW]
[ROW][C]232[/C][C]0.405299675015753[/C][C]0.810599350031506[/C][C]0.594700324984247[/C][/ROW]
[ROW][C]233[/C][C]0.518026427189812[/C][C]0.963947145620376[/C][C]0.481973572810188[/C][/ROW]
[ROW][C]234[/C][C]0.516898198192102[/C][C]0.966203603615796[/C][C]0.483101801807898[/C][/ROW]
[ROW][C]235[/C][C]0.536172794226786[/C][C]0.927654411546428[/C][C]0.463827205773214[/C][/ROW]
[ROW][C]236[/C][C]0.485765934442582[/C][C]0.971531868885164[/C][C]0.514234065557418[/C][/ROW]
[ROW][C]237[/C][C]0.450418085713289[/C][C]0.900836171426578[/C][C]0.549581914286711[/C][/ROW]
[ROW][C]238[/C][C]0.462607891883203[/C][C]0.925215783766405[/C][C]0.537392108116797[/C][/ROW]
[ROW][C]239[/C][C]0.49701855686852[/C][C]0.99403711373704[/C][C]0.50298144313148[/C][/ROW]
[ROW][C]240[/C][C]0.439741118765296[/C][C]0.879482237530592[/C][C]0.560258881234704[/C][/ROW]
[ROW][C]241[/C][C]0.392635502640174[/C][C]0.785271005280349[/C][C]0.607364497359826[/C][/ROW]
[ROW][C]242[/C][C]0.341876387428483[/C][C]0.683752774856966[/C][C]0.658123612571517[/C][/ROW]
[ROW][C]243[/C][C]0.288106382350849[/C][C]0.576212764701699[/C][C]0.711893617649151[/C][/ROW]
[ROW][C]244[/C][C]0.267069855950934[/C][C]0.534139711901869[/C][C]0.732930144049066[/C][/ROW]
[ROW][C]245[/C][C]0.296627806995016[/C][C]0.593255613990032[/C][C]0.703372193004984[/C][/ROW]
[ROW][C]246[/C][C]0.309730088247478[/C][C]0.619460176494957[/C][C]0.690269911752522[/C][/ROW]
[ROW][C]247[/C][C]0.268530246624373[/C][C]0.537060493248747[/C][C]0.731469753375627[/C][/ROW]
[ROW][C]248[/C][C]0.215403902279106[/C][C]0.430807804558211[/C][C]0.784596097720894[/C][/ROW]
[ROW][C]249[/C][C]0.18300835027585[/C][C]0.3660167005517[/C][C]0.81699164972415[/C][/ROW]
[ROW][C]250[/C][C]0.160390787124023[/C][C]0.320781574248046[/C][C]0.839609212875977[/C][/ROW]
[ROW][C]251[/C][C]0.382595637361249[/C][C]0.765191274722498[/C][C]0.617404362638751[/C][/ROW]
[ROW][C]252[/C][C]0.31426216375677[/C][C]0.628524327513539[/C][C]0.68573783624323[/C][/ROW]
[ROW][C]253[/C][C]0.364756733810905[/C][C]0.72951346762181[/C][C]0.635243266189095[/C][/ROW]
[ROW][C]254[/C][C]0.649730966894094[/C][C]0.700538066211811[/C][C]0.350269033105906[/C][/ROW]
[ROW][C]255[/C][C]0.685504965595841[/C][C]0.628990068808319[/C][C]0.314495034404159[/C][/ROW]
[ROW][C]256[/C][C]0.651093997147941[/C][C]0.697812005704118[/C][C]0.348906002852059[/C][/ROW]
[ROW][C]257[/C][C]0.646103267408578[/C][C]0.707793465182844[/C][C]0.353896732591422[/C][/ROW]
[ROW][C]258[/C][C]0.585449604109567[/C][C]0.829100791780865[/C][C]0.414550395890433[/C][/ROW]
[ROW][C]259[/C][C]0.509401230186637[/C][C]0.981197539626726[/C][C]0.490598769813363[/C][/ROW]
[ROW][C]260[/C][C]0.420620124441143[/C][C]0.841240248882287[/C][C]0.579379875558857[/C][/ROW]
[ROW][C]261[/C][C]0.475185909647246[/C][C]0.950371819294492[/C][C]0.524814090352754[/C][/ROW]
[ROW][C]262[/C][C]0.510407971854327[/C][C]0.979184056291346[/C][C]0.489592028145673[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=205530&T=5

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=205530&T=5

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


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

Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
70.1774652098159860.3549304196319730.822534790184014
80.08651478825309780.1730295765061960.913485211746902
90.3043645244045910.6087290488091830.695635475595409
100.1977037376908090.3954074753816180.802296262309191
110.2242277398322050.4484554796644110.775772260167795
120.2617840280664710.5235680561329420.738215971933529
130.2007956218669630.4015912437339260.799204378133037
140.1634883760478940.3269767520957880.836511623952106
150.1113623612457050.222724722491410.888637638754295
160.102521446828240.2050428936564790.897478553171761
170.07084649901573240.1416929980314650.929153500984268
180.0922805552203130.1845611104406260.907719444779687
190.07365498805068870.1473099761013770.926345011949311
200.04884911372929460.09769822745858930.951150886270705
210.04242735394472850.08485470788945710.957572646055271
220.02817075344187210.05634150688374430.971829246558128
230.01873451972077310.03746903944154630.981265480279227
240.01191733042698970.02383466085397950.98808266957301
250.007924985288876610.01584997057775320.992075014711123
260.004905869193612260.009811738387224520.995094130806388
270.003776303885569750.007552607771139490.99622369611443
280.002659769817663560.005319539635327120.997340230182336
290.001698483341510330.003396966683020660.99830151665849
300.001105749352819910.002211498705639810.99889425064718
310.001807309230330090.003614618460660180.99819269076967
320.00105745230398530.002114904607970590.998942547696015
330.0008380728530306830.001676145706061370.999161927146969
340.0006049518330902640.001209903666180530.99939504816691
350.0005465187886254570.001093037577250910.999453481211375
360.0005167917774157360.001033583554831470.999483208222584
370.0004187019514902040.0008374039029804090.99958129804851
380.0003425576057361160.0006851152114722320.999657442394264
390.0002426915156386760.0004853830312773520.999757308484361
400.0003295396563724260.0006590793127448520.999670460343628
410.0001941591190269740.0003883182380539490.999805840880973
420.0002852843605208260.0005705687210416520.999714715639479
430.0002346289831382440.0004692579662764890.999765371016862
440.0001744762161809470.0003489524323618930.999825523783819
450.0006757466717527810.001351493343505560.999324253328247
460.0004738674063109150.000947734812621830.999526132593689
470.0002951498529938740.0005902997059877490.999704850147006
480.0001878865603902720.0003757731207805450.99981211343961
490.000114729076768170.000229458153536340.999885270923232
506.92836523764945e-050.0001385673047529890.999930716347624
514.68988730964641e-059.37977461929282e-050.999953101126903
527.36164878732416e-050.0001472329757464830.999926383512127
537.19297879782676e-050.0001438595759565350.999928070212022
544.87391187354215e-059.74782374708429e-050.999951260881265
552.97392274772443e-055.94784549544887e-050.999970260772523
560.0001376544136781450.0002753088273562890.999862345586322
578.77093346266182e-050.0001754186692532360.999912290665373
585.53548774335526e-050.0001107097548671050.999944645122566
596.40537524097479e-050.0001281075048194960.99993594624759
607.31603817761559e-050.0001463207635523120.999926839618224
614.65246041564818e-059.30492083129636e-050.999953475395844
623.11977232155258e-056.23954464310516e-050.999968802276785
632.00045997384179e-054.00091994768357e-050.999979995400262
641.24181842341091e-052.48363684682181e-050.999987581815766
652.17978814057584e-054.35957628115167e-050.999978202118594
662.23363842817006e-054.46727685634012e-050.999977663615718
671.39404451180691e-052.78808902361383e-050.999986059554882
688.81526310690508e-061.76305262138102e-050.999991184736893
695.52269980116035e-061.10453996023207e-050.999994477300199
701.76826599446387e-053.53653198892774e-050.999982317340055
711.12397077662714e-052.24794155325427e-050.999988760292234
727.36117586729384e-061.47223517345877e-050.999992638824133
735.12580606225133e-061.02516121245027e-050.999994874193938
743.36275654119665e-066.72551308239329e-060.999996637243459
752.17099134585773e-064.34198269171546e-060.999997829008654
761.59425573695587e-063.18851147391174e-060.999998405744263
771.00538517237337e-062.01077034474675e-060.999998994614828
787.33382154852682e-071.46676430970536e-060.999999266617845
794.74968224548292e-079.49936449096584e-070.999999525031775
802.98452551689269e-075.96905103378538e-070.999999701547448
812.1874841414736e-074.37496828294721e-070.999999781251586
822.47227151318958e-074.94454302637915e-070.999999752772849
832.57125580465063e-075.14251160930126e-070.99999974287442
841.88687443784715e-073.7737488756943e-070.999999811312556
851.20899507264111e-072.41799014528221e-070.999999879100493
861.25333899978453e-072.50667799956906e-070.9999998746661
873.46011461698554e-076.92022923397109e-070.999999653988538
886.56955107596172e-071.31391021519234e-060.999999343044892
894.30057264390457e-078.60114528780914e-070.999999569942736
904.11900842345169e-078.23801684690339e-070.999999588099158
913.00106998633055e-076.0021399726611e-070.999999699893001
922.34180783003464e-074.68361566006928e-070.999999765819217
931.89517539707237e-073.79035079414474e-070.99999981048246
943.13940536483371e-076.27881072966742e-070.999999686059464
952.10482054924258e-074.20964109848516e-070.999999789517945
962.14902305751085e-074.29804611502171e-070.999999785097694
972.76019789779223e-075.52039579558446e-070.99999972398021
981.82120546810956e-073.64241093621912e-070.999999817879453
991.56151380603102e-073.12302761206203e-070.999999843848619
1001.07986149982258e-072.15972299964516e-070.99999989201385
1018.42342627042395e-081.68468525408479e-070.999999915765737
1021.01077088773595e-072.02154177547189e-070.999999898922911
1031.30673837872864e-072.61347675745728e-070.999999869326162
1042.38401989989433e-074.76803979978865e-070.99999976159801
1056.28015385482495e-050.0001256030770964990.999937198461452
1066.89589395530284e-050.0001379178791060570.999931041060447
1075.70101235910087e-050.0001140202471820170.999942989876409
1088.45456972873257e-050.0001690913945746510.999915454302713
1090.0003435521267794980.0006871042535589950.99965644787322
1100.004478132124809110.008956264249618210.995521867875191
1110.02369665025938660.04739330051877310.976303349740613
1120.06514616698415630.1302923339683130.934853833015844
1130.07121322720616710.1424264544123340.928786772793833
1140.1272435019538450.2544870039076910.872756498046155
1150.1554366830822680.3108733661645360.844563316917732
1160.1721296385636250.3442592771272490.827870361436375
1170.2310246753941520.4620493507883030.768975324605848
1180.2404151854219580.4808303708439170.759584814578042
1190.2249282728390450.449856545678090.775071727160955
1200.2093578804082430.4187157608164860.790642119591757
1210.2276387375338320.4552774750676630.772361262466168
1220.2174591722323060.4349183444646130.782540827767694
1230.2114291998789020.4228583997578040.788570800121098
1240.1966160357448210.3932320714896410.803383964255179
1250.2124166732447650.4248333464895310.787583326755235
1260.1923215304723950.3846430609447910.807678469527605
1270.1833363497091750.366672699418350.816663650290825
1280.1669595621043840.3339191242087680.833040437895616
1290.1518076614475020.3036153228950040.848192338552498
1300.1844938817652970.3689877635305930.815506118234703
1310.1960321776807690.3920643553615390.803967822319231
1320.2158719835149770.4317439670299550.784128016485023
1330.193871794217570.387743588435140.80612820578243
1340.1730178599694460.3460357199388910.826982140030554
1350.1624859303024510.3249718606049020.837514069697549
1360.143040696711560.286081393423120.85695930328844
1370.1254805317830920.2509610635661830.874519468216908
1380.1109923991793590.2219847983587180.889007600820641
1390.09705052932862210.1941010586572440.902949470671378
1400.08609673594342390.1721934718868480.913903264056576
1410.07620512703372270.1524102540674450.923794872966277
1420.06513468358461770.1302693671692350.934865316415382
1430.05550916244221850.1110183248844370.944490837557782
1440.0538652560190780.1077305120381560.946134743980922
1450.04814572373950770.09629144747901550.951854276260492
1460.04007568969799950.0801513793959990.959924310302001
1470.03322262341949580.06644524683899170.966777376580504
1480.02752075542450960.05504151084901920.97247924457549
1490.0225258924216040.04505178484320810.977474107578396
1500.02084009131468870.04168018262937740.979159908685311
1510.01752040513185870.03504081026371730.982479594868141
1520.01486241286438610.02972482572877220.985137587135614
1530.01776777637308810.03553555274617620.982232223626912
1540.01457237691173550.0291447538234710.985427623088264
1550.01440310513804850.02880621027609710.985596894861951
1560.01519103425290190.03038206850580380.984808965747098
1570.01236051636731020.02472103273462030.98763948363269
1580.01513950716179710.03027901432359420.984860492838203
1590.01298332668955540.02596665337911070.987016673310445
1600.01141006012268760.02282012024537530.988589939877312
1610.01247376786778460.02494753573556920.987526232132215
1620.0102216032736450.02044320654728990.989778396726355
1630.008096069267052930.01619213853410590.991903930732947
1640.006352942580252440.01270588516050490.993647057419748
1650.005176805651627090.01035361130325420.994823194348373
1660.004799084325421370.009598168650842740.995200915674579
1670.005687562518044040.01137512503608810.994312437481956
1680.005506430051793220.01101286010358640.994493569948207
1690.005041015659187150.01008203131837430.994958984340813
1700.01973602239125580.03947204478251150.980263977608744
1710.01584428895977470.03168857791954940.984155711040225
1720.01424414102100380.02848828204200770.985755858978996
1730.02251109699385190.04502219398770370.977488903006148
1740.02447183432786450.0489436686557290.975528165672136
1750.019911607273970.03982321454793990.98008839272603
1760.02116868685396580.04233737370793150.978831313146034
1770.03073109757535210.06146219515070410.969268902424648
1780.03973864116820010.07947728233640020.9602613588318
1790.0336698250000980.0673396500001960.966330174999902
1800.03229262136661740.06458524273323470.967707378633383
1810.03061673092301060.06123346184602120.969383269076989
1820.02495132575968780.04990265151937550.975048674240312
1830.02331143094842540.04662286189685080.976688569051575
1840.01865218146470270.03730436292940550.981347818535297
1850.01802221582272380.03604443164544760.981977784177276
1860.01429830553770620.02859661107541230.985701694462294
1870.01129133214264370.02258266428528740.988708667857356
1880.01952446908317420.03904893816634830.980475530916826
1890.01581299580694070.03162599161388150.984187004193059
1900.01881794244936910.03763588489873810.981182057550631
1910.01538015920395250.0307603184079050.984619840796047
1920.01818145400474680.03636290800949360.981818545995253
1930.01450389451318090.02900778902636190.985496105486819
1940.01277757497972130.02555514995944260.987222425020279
1950.01365975020929390.02731950041858780.986340249790706
1960.01291051167070470.02582102334140940.987089488329295
1970.01857078711060640.03714157422121270.981429212889394
1980.01478707972487320.02957415944974640.985212920275127
1990.01154550890367120.02309101780734240.988454491096329
2000.01194523951254480.02389047902508960.988054760487455
2010.009284685229673110.01856937045934620.990715314770327
2020.00757052209368580.01514104418737160.992429477906314
2030.008182043199581280.01636408639916260.991817956800419
2040.006245759362645440.01249151872529090.993754240637355
2050.005288049383390780.01057609876678160.994711950616609
2060.005217330170356450.01043466034071290.994782669829644
2070.004349997371328150.008699994742656290.995650002628672
2080.005017458339973520.0100349166799470.994982541660027
2090.006425155799779220.01285031159955840.993574844200221
2100.007267164921753380.01453432984350680.992732835078247
2110.005653016647829020.0113060332956580.994346983352171
2120.004254541902144970.008509083804289950.995745458097855
2130.01377308479716590.02754616959433180.986226915202834
2140.01317192700915450.02634385401830890.986828072990846
2150.01079916413025980.02159832826051960.98920083586974
2160.009169863143392030.01833972628678410.990830136856608
2170.007697134829350160.01539426965870030.99230286517065
2180.006028878178832370.01205775635766470.993971121821168
2190.009571940005104980.019143880010210.990428059994895
2200.02791576591596170.05583153183192340.972084234084038
2210.02264168989841610.04528337979683220.977358310101584
2220.3318586671111480.6637173342222960.668141332888852
2230.2903372988362010.5806745976724010.709662701163799
2240.3980105170645130.7960210341290250.601989482935487
2250.3600231576210980.7200463152421950.639976842378902
2260.3241720793088170.6483441586176340.675827920691183
2270.5266372524259710.9467254951480570.473362747574029
2280.4871858264667930.9743716529335850.512814173533207
2290.4418201249214340.8836402498428690.558179875078566
2300.448186438807980.896372877615960.55181356119202
2310.4115536419472250.823107283894450.588446358052775
2320.4052996750157530.8105993500315060.594700324984247
2330.5180264271898120.9639471456203760.481973572810188
2340.5168981981921020.9662036036157960.483101801807898
2350.5361727942267860.9276544115464280.463827205773214
2360.4857659344425820.9715318688851640.514234065557418
2370.4504180857132890.9008361714265780.549581914286711
2380.4626078918832030.9252157837664050.537392108116797
2390.497018556868520.994037113737040.50298144313148
2400.4397411187652960.8794822375305920.560258881234704
2410.3926355026401740.7852710052803490.607364497359826
2420.3418763874284830.6837527748569660.658123612571517
2430.2881063823508490.5762127647016990.711893617649151
2440.2670698559509340.5341397119018690.732930144049066
2450.2966278069950160.5932556139900320.703372193004984
2460.3097300882474780.6194601764949570.690269911752522
2470.2685302466243730.5370604932487470.731469753375627
2480.2154039022791060.4308078045582110.784596097720894
2490.183008350275850.36601670055170.81699164972415
2500.1603907871240230.3207815742480460.839609212875977
2510.3825956373612490.7651912747224980.617404362638751
2520.314262163756770.6285243275135390.68573783624323
2530.3647567338109050.729513467621810.635243266189095
2540.6497309668940940.7005380662118110.350269033105906
2550.6855049655958410.6289900688083190.314495034404159
2560.6510939971479410.6978120057041180.348906002852059
2570.6461032674085780.7077934651828440.353896732591422
2580.5854496041095670.8291007917808650.414550395890433
2590.5094012301866370.9811975396267260.490598769813363
2600.4206201244411430.8412402488822870.579379875558857
2610.4751859096472460.9503718192944920.524814090352754
2620.5104079718543270.9791840562913460.489592028145673






Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level880.34375NOK
5% type I error level1560.609375NOK
10% type I error level1690.66015625NOK

\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 & 88 & 0.34375 & NOK \tabularnewline
5% type I error level & 156 & 0.609375 & NOK \tabularnewline
10% type I error level & 169 & 0.66015625 & NOK \tabularnewline
\hline
\end{tabular}
%Source: https://freestatistics.org/blog/index.php?pk=205530&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]88[/C][C]0.34375[/C][C]NOK[/C][/ROW]
[ROW][C]5% type I error level[/C][C]156[/C][C]0.609375[/C][C]NOK[/C][/ROW]
[ROW][C]10% type I error level[/C][C]169[/C][C]0.66015625[/C][C]NOK[/C][/ROW]
[/TABLE]
Source: https://freestatistics.org/blog/index.php?pk=205530&T=6

Globally Unique Identifier (entire table): ba.freestatistics.org/blog/index.php?pk=205530&T=6

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

Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level880.34375NOK
5% type I error level1560.609375NOK
10% type I error level1690.66015625NOK


Figures (Output of Computation)

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Input Parameters & R Code

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