Multiple Linear Regression - Estimated Regression Equation
T40[t] = + 0.350713250738591 -0.0361628374039664T20[t] + 0.0274233314606938Outcome[t] -0.00268687855860729t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)0.3507132507385910.0608575.762900
T20-0.03616283740396640.092549-0.39070.6965430.348272
Outcome0.02742333146069380.0561360.48850.6258960.312948
t-0.002686878558607290.00065-4.13076e-053e-05


Multiple Linear Regression - Regression Statistics
Multiple R0.35253241119858
R-squared0.124279100945485
Adjusted R-squared0.106764682964394
F-TEST (value)7.0958167767644
F-TEST (DF numerator)3
F-TEST (DF denominator)150
p-value0.000172057274432036
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.337968662501995
Sum Squared Residuals17.1334225250081


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
110.3754497036406790.624550296359321
200.345339493621377-0.345339493621377
300.34265261506277-0.34265261506277
400.339965736504162-0.339965736504162
500.337278857945555-0.337278857945555
600.362015310847641-0.362015310847641
700.33190510082834-0.33190510082834
810.3292182222697330.670781777730267
900.35395467517182-0.35395467517182
1000.323844465152519-0.323844465152519
1110.3211575865939110.678842413406089
1200.318470708035304-0.318470708035304
1300.315783829476697-0.315783829476697
1410.313096950918090.68690304908191
1500.337833403820176-0.337833403820176
1610.3351465252615690.664853474738431
1710.3050363152422680.694963684757732
1810.302349436683660.69765056331634
1900.327085889585747-0.327085889585747
2010.324399011027140.67560098897286
2100.294288801007838-0.294288801007838
2200.319025253909925-0.319025253909925
2300.316338375351318-0.316338375351318
2400.31365149679271-0.31365149679271
2510.3109646182341030.689035381765897
2600.280854408214802-0.280854408214802
2700.305590861116888-0.305590861116888
2800.275480651097587-0.275480651097587
2900.300217103999674-0.300217103999674
3000.270106893980373-0.270106893980373
3100.267420015421766-0.267420015421766
3200.264733136863158-0.264733136863158
3300.262046258304551-0.262046258304551
3410.2867827112066370.713217288793363
3500.256672501187336-0.256672501187336
3600.253985622628729-0.253985622628729
3710.2512987440701220.748701255929878
3800.276035196972208-0.276035196972208
3900.273348318413601-0.273348318413601
4010.24323810839430.7567618916057
4100.267974561296386-0.267974561296386
4200.265287682737779-0.265287682737779
4300.262600804179172-0.262600804179172
4410.2324905941598710.767509405840129
4500.229803715601264-0.229803715601264
4600.25454016850335-0.25454016850335
4700.224429958484049-0.224429958484049
4800.249166411386135-0.249166411386135
4900.246479532827528-0.246479532827528
5000.216369322808227-0.216369322808227
5110.213682444249620.78631755575038
5210.2109955656910130.789004434308987
5300.235732018593099-0.235732018593099
5400.205621808573798-0.205621808573798
5500.202934930015191-0.202934930015191
5610.2276713829172770.772328617082723
5700.22498450435867-0.22498450435867
5800.222297625800063-0.222297625800063
5900.219610747241455-0.219610747241455
6010.2169238686828480.783076131317152
6110.2142369901242410.785763009875759
6200.18412678010494-0.18412678010494
6300.181439901546332-0.181439901546332
6410.2061763544484190.793823645551581
6500.176066144429118-0.176066144429118
6600.17337926587051-0.17337926587051
6710.1706923873119030.829307612688097
6800.168005508753296-0.168005508753296
6900.192741961655382-0.192741961655382
7000.162631751636081-0.162631751636081
7100.159944873077474-0.159944873077474
7200.184681325979561-0.184681325979561
7300.181994447420953-0.181994447420953
7400.151884237401652-0.151884237401652
7500.176620690303739-0.176620690303739
7610.1739338117451310.826066188254869
7700.171246933186524-0.171246933186524
7800.168560054627917-0.168560054627917
7910.165873176069310.83412682393069
8010.1357629660500080.864237033949992
8100.133076087491401-0.133076087491401
8200.157812540393488-0.157812540393488
8300.127702330374187-0.127702330374187
8400.125015451815579-0.125015451815579
8500.149751904717666-0.149751904717666
8600.119641694698365-0.119641694698365
8700.144378147600451-0.144378147600451
8800.105528431637878-0.105528431637878
8900.111581059022543-0.111581059022543
9000.136317511924629-0.136317511924629
9100.106207301905328-0.106207301905328
9200.0673575859427546-0.0673575859427546
9300.100833544788114-0.100833544788114
9400.0981466662295064-0.0981466662295064
9500.0592969502669327-0.0592969502669327
9600.120196240572986-0.120196240572986
9700.0539231931497182-0.0539231931497182
9800.0873991519950773-0.0873991519950773
9900.08471227343647-0.08471227343647
10000.109448726338556-0.109448726338556
10100.106761847779949-0.106761847779949
10200.0766516377606481-0.0766516377606481
10300.0739647592020408-0.0739647592020408
10400.0712778806434336-0.0712778806434336
10500.0324281646808599-0.0324281646808599
10600.065904123526219-0.065904123526219
10700.0632172449676117-0.0632172449676117
10800.024367529005038-0.024367529005038
10900.0578434878503971-0.0578434878503971
11000.0551566092917899-0.0551566092917899
11100.0163068933292161-0.0163068933292161
11200.0136200147706088-0.0136200147706088
11300.047095973615968-0.047095973615968
11400.00824625765339426-0.00824625765339426
11500.0417222164987534-0.0417222164987534
11600.0390353379401461-0.0390353379401461
11700.0637717908422326-0.0637717908422326
11800.0336615808229315-0.0336615808229315
11900.0309747022643243-0.0309747022643243
12000.0557111551664108-0.0557111551664108
12100.0256009451471097-0.0256009451471097
12200.0229140665885024-0.0229140665885024
1230-0.01593564937407130.0159356493740713
12400.0449636409319816-0.0449636409319816
12500.0422767623733743-0.0422767623733743
1260-0.02399628504989320.0239962850498932
12700.00947967379546594-0.00947967379546594
12800.0342161266975525-0.0342161266975525
12900.00410591667825136-0.00410591667825136
13000.0288423695803379-0.0288423695803379
1310-0.001267840438963220.00126784043896322
13200.0234686124631233-0.0234686124631233
1330-0.00664159755617780.0066415975561778
1340-0.009328476114785090.00932847611478509
1350-0.01201535467339240.0120153546733924
1360-0.01470223323199970.0147022332319997
13700.0100342196700869-0.0100342196700869
1380-0.02881549629248680.0288154962924868
1390-0.05892570631178790.0589257063117879
1400-0.02544974746642880.0254497474664288
1410-0.0007132945643422870.000713294564342287
1420-0.0395630105269160.039563010526916
1430-0.03351038314225070.0335103831422507
1440-0.008773930240164140.00877393024016414
1450-0.03888414025946520.0388841402594652
1460-0.05031052476134510.0503105247613451
1470-0.08042073478064620.0804207347806462
1480-0.08310761333925350.0831076133392535
1490-0.04963165449389440.0496316544938944
1500-0.02489520159180790.0248952015918079
1510-0.02758208015041520.0275820801504152
1520-0.05769229016971630.0576922901697163
1530-0.06037916872832360.0603791687283236
1540-0.06306604728693080.0630660472869308


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
70.5097213934884420.9805572130231170.490278606511558
80.9799585641097030.0400828717805940.020041435890297
90.9769595717921380.04608085641572330.0230404282078617
100.9588751977377090.08224960452458240.0411248022622912
110.9914202018024650.0171595963950690.00857979819753451
120.9886112522201850.02277749555962910.0113887477798146
130.9835168311341310.03296633773173890.0164831688658694
140.9943048209457840.0113903581084320.00569517905421599
150.9940909786995710.01181804260085820.00590902130042909
160.9967467943934490.00650641121310220.0032532056065511
170.9977896186323880.004420762735224460.00221038136761223
180.9980789159059180.003842168188163890.00192108409408194
190.999053653658030.001892692683939850.000946346341969926
200.9992683731474110.001463253705178620.000731626852589309
210.9996486200132460.0007027599735073050.000351379986753653
220.9997616671887590.0004766656224824580.000238332811241229
230.9997848831729240.0004302336541520060.000215116827076003
240.9997711482458390.0004577035083228910.000228851754161445
250.9999077486080130.0001845027839739019.22513919869507e-05
260.9999157762586770.0001684474826469948.42237413234968e-05
270.9999093434989780.0001813130020446459.06565010223226e-05
280.999891154617450.0002176907651003580.000108845382550179
290.9998661879893230.0002676240213536250.000133812010676812
300.9998203236494970.0003593527010057430.000179676350502871
310.9997517371855050.0004965256289902320.000248262814495116
320.9996540447216360.0006919105567287850.000345955278364393
330.9995193922508230.0009612154983539570.000480607749176978
340.9998891638438630.0002216723122748690.000110836156137435
350.9998471683222230.0003056633555538870.000152831677776944
360.999790392373150.000419215253699670.000209607626849835
370.9999656828647146.86342705723194e-053.43171352861597e-05
380.9999584479450878.31041098255924e-054.15520549127962e-05
390.9999479672963480.0001040654073034925.20327036517459e-05
400.9999915351669521.69296660960139e-058.46483304800697e-06
410.999989426199312.1147601379528e-051.0573800689764e-05
420.9999865541825442.6891634911928e-051.3445817455964e-05
430.9999827972620583.44054758835142e-051.72027379417571e-05
440.9999974824357545.03512849193623e-062.51756424596811e-06
450.9999967200910446.55981791290844e-063.27990895645422e-06
460.999995796985128.40602976000252e-064.20301488000126e-06
470.9999943886104541.1222779091266e-055.611389545633e-06
480.9999928445163451.43109673106893e-057.15548365534467e-06
490.9999910096125721.7980774855589e-058.99038742779452e-06
500.9999880126011952.39747976094039e-051.19873988047019e-05
510.9999987060096332.58798073385789e-061.29399036692894e-06
520.999999892521642.14956720156394e-071.07478360078197e-07
530.9999998637609192.72478161802076e-071.36239080901038e-07
540.9999998153632733.69273454931954e-071.84636727465977e-07
550.9999997456521765.08695648116012e-072.54347824058006e-07
560.9999999825008033.49983938566259e-081.74991969283129e-08
570.9999999774061724.51876561223649e-082.25938280611824e-08
580.9999999713438085.73123840065366e-082.86561920032683e-08
590.999999964572597.08548209825798e-083.54274104912899e-08
600.9999999982979693.404062155238e-091.702031077619e-09
610.9999999999594958.10108796766148e-114.05054398383074e-11
620.9999999999384051.23189155905446e-106.1594577952723e-11
630.9999999999043491.91302766348407e-109.56513831742037e-11
640.9999999999993071.38686246761266e-126.93431233806331e-13
650.9999999999988342.33148899838872e-121.16574449919436e-12
660.9999999999980153.96972822904183e-121.98486411452092e-12
670.9999999999999992.44165909617749e-151.22082954808875e-15
680.9999999999999984.74821226299196e-152.37410613149598e-15
690.9999999999999968.39288881031583e-154.19644440515792e-15
700.9999999999999921.66168719179671e-148.30843595898353e-15
710.9999999999999833.30638518560132e-141.65319259280066e-14
720.9999999999999715.85214752828837e-142.92607376414419e-14
730.9999999999999491.02082332554329e-135.10411662771646e-14
740.9999999999998992.01410739080789e-131.00705369540395e-13
750.9999999999998293.41917690671135e-131.70958845335568e-13
7611.93275695583768e-179.66378477918841e-18
7714.17060471513881e-172.0853023575694e-17
7818.82382903944297e-174.41191451972148e-17
7914.34257540085541e-252.17128770042771e-25
80100
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83100
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Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level1320.936170212765957NOK
5% type I error level1390.985815602836879NOK
10% type I error level1400.99290780141844NOK