Multiple Linear Regression - Estimated Regression Equation
(1-B)lnYt[t] = + 0.00298687237561425 + 0.279841978072988`(1-B)lnY_[t-1]`[t] + 0.0924602034106877`(1-B)lnY_[t-2]`[t] -0.0999401043206112`(1-B)lnY_[t-3]`[t] -0.133172004343059`(1-B)lnY_[t-4]`[t] -0.131646989364628`(1-B)lnY_[t-5]`[t] + 0.630660827401185`(1-B)lnX_[t-1]`[t] -0.338975843529546`(1-B)lnX_[t-2]`[t] + 0.510544531512295`(1-B)lnX_[t-3]`[t] -0.405092174192946`(1-B)lnX_[t-4]`[t] + 0.148230264174965`(1-B)lnX_[t-5]`[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)0.002986872375614250.0053390.55940.5773820.288691
`(1-B)lnY_[t-1]`0.2798419780729880.1113262.51370.0138550.006928
`(1-B)lnY_[t-2]`0.09246020341068770.1277830.72360.471340.23567
`(1-B)lnY_[t-3]`-0.09994010432061120.125216-0.79810.4270390.21352
`(1-B)lnY_[t-4]`-0.1331720043430590.121284-1.0980.2753350.137667
`(1-B)lnY_[t-5]`-0.1316469893646280.125205-1.05150.2960660.148033
`(1-B)lnX_[t-1]`0.6306608274011850.2746832.2960.0241690.012085
`(1-B)lnX_[t-2]`-0.3389758435295460.270783-1.25180.2141040.107052
`(1-B)lnX_[t-3]`0.5105445315122950.2642831.93180.0567550.028377
`(1-B)lnX_[t-4]`-0.4050921741929460.268436-1.50910.135030.067515
`(1-B)lnX_[t-5]`0.1482302641749650.2436340.60840.5445540.272277


Multiple Linear Regression - Regression Statistics
Multiple R0.540465013479973
R-squared0.292102430795908
Adjusted R-squared0.207828910652563
F-TEST (value)3.46612352609762
F-TEST (DF numerator)10
F-TEST (DF denominator)84
p-value0.000752185537719718
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.0487324103769968
Sum Squared Residuals0.19948721697677


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1-0.03086-0.00295004353653766-0.0279099564634623
20.040330.002754827612722550.0375751723872775
3-0.02352-0.00300798064250723-0.0205120193574928
40.00573-0.002227450611842290.0079574506118423
50.01805-0.001963159715095680.0200131597150957
6-0.018870.0190922575860881-0.0379622575860881
70.04363-0.00821582949570980.0518458294957098
80.028750.0307230893782364-0.00197308937823643
9-0.003930.00933831196456645-0.0132683119645664
100.05280.002157286470272570.0506427135297274
11-0.003510.0281395364335619-0.0316495364335619
120.05407-0.001465612081896270.0555356120818963
13-0.012990.0330896671455471-0.0460796671455471
140.007470.006776082745153310.000693917254846692
15-0.032880.0082671282298679-0.0411471282298679
16-0.05013-0.00992726424360557-0.0402027357563944
170.03715-0.01662923457593820.0537792345759382
180.00205-0.006059568273305050.00810956827330505
190.029120.0341193585230271-0.00499935852302714
20-0.008320.0107708211865912-0.0190908211865912
210.029080.01316395868264950.0159160413173505
22-0.009420.00580963934823189-0.0152296393482319
230.043810.004230156184742890.0395798438152571
240.006030.0115073360573358-0.00547733605733578
250.022530.01532910068202320.00720089931797678
260.057890.01320866977930450.0446813302206955
27-0.037830.0181211803959200-0.05595118039592
28-0.031760.00891838517239862-0.0406783851723986
29-0.00572-0.03503934108374870.0293193410837487
300.0104-0.004884875064696470.0152848750646965
310.036620.004200912564604380.0324190874353956
320.037710.02142510669992670.0162848933000733
330.059810.03871916862009050.0210908313799095
34-0.032040.00774959784482731-0.0397895978448273
350.028370.0078192943805730.020550705619427
360.05003-0.007977815827876130.0580078158278761
370.04980.03344806747460070.0163519325253993
38-0.022990.0280668608970190-0.051056860897019
390.04030.005772164622424570.0345278353775754
400.031760.001315323846911630.0304446761530884
41-0.001350.0378674526300908-0.0392174526300908
42-0.024730.0165019872321261-0.0412319872321261
43-0.00171-0.02580774102413900.0240977410241390
44-0.015750.0272979939802998-0.0430479939802998
45-0.02624-0.04322763214623900.0169876321462390
460.067240.03510599732412810.0321340026758719
47-0.013620.0223413850163344-0.0359613850163344
48-0.004220.00729291941407819-0.0115129194140782
490.007540.0128583715559720-0.00531837155597196
500.00087-0.01827400982452310.0191440098245231
510.027150.01357892253014200.0135710774698580
520.029760.01383136314272990.0159286368572701
530.079460.04263121250283640.0368287874971636
540.019090.0213437958321560-0.00225379583215603
55-0.024830.00812445947874088-0.0329544594787409
56-0.0187-0.02232757621687670.00362757621687672
570.09682-0.0502011474808970.147021147480897
580.038230.03009393876624980.00813606123375024
590.095710.01590733728930010.0798026627106999
60-0.046630.0230716219180722-0.0697016219180722
61-0.01359-0.02056751440929110.00697751440929106
620.05114-0.01384729052636230.0649872905263623
63-0.042750.00307669910642426-0.0458266991064243
640.057390.02386195667706280.0335280433229371
650.011860.001991223130784380.00986877686921562
660.010660.006203720699194610.00445627930080539
67-0.07387-0.00658866365134271-0.0672813363486573
68-0.04131-0.0185943162843078-0.0227156837156922
69-0.17889-0.0444555147755726-0.134434485224427
70-0.12781-0.0504551548188985-0.0773548451811015
71-0.26933-0.106873303847466-0.162456696152534
72-0.05095-0.05353452053660590.00258452053660586
73-0.01074-0.05006239807371650.0393223980737165
740.081720.06922022911967750.0124997708803225
750.11870.06498333797343680.0537166620265632
760.084750.0979769068198936-0.0132269068198936
770.046630.0536657870585285-0.0070357870585285
78-0.044150.0104575537102259-0.0546075537102259
790.0097-0.01488792297911540.0245879229791154
80-0.03341-0.03560822779338710.00219822779338712
810.040310.02300961129607000.0173003887039300
820.01938-0.01555241890003310.0349324189000331
830.059280.0550944875852930.00418551241470694
840.023430.001072189384414410.0223578106155856
85-0.045360.0388445707983923-0.0842045707983923
860.03355-0.01943300709997720.0529830070999772
870.05659-0.01707025136544300.073660251365443
88-0.065790.0430963815628115-0.108886381562811
89-0.04267-0.00336374700380879-0.0393062529961912
90-0.02422-0.03740383449662730.0131838344966273
910.07584-0.001097360867600830.0769373608676008
92-0.009030.0155580915439419-0.0245880915439419
930.066170.04681394261172530.0193560573882747
940.044850.04009814525944030.0047518547405597
95-0.006650.0167148457951973-0.0233648457951973


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
140.3191502135741450.638300427148290.680849786425855
150.1988411239037320.3976822478074630.801158876096268
160.2655635312350320.5311270624700650.734436468764968
170.2479598538625470.4959197077250930.752040146137454
180.2165562497063110.4331124994126230.783443750293689
190.1374571996804650.2749143993609300.862542800319535
200.0836719771688370.1673439543376740.916328022831163
210.04864328784457470.09728657568914940.951356712155425
220.02867067245023570.05734134490047130.971329327549764
230.01986286066661190.03972572133322380.980137139333388
240.01040059966505420.02080119933010850.989599400334946
250.00573289057490260.01146578114980520.994267109425097
260.008527399578538130.01705479915707630.991472600421462
270.006396507502118650.01279301500423730.993603492497881
280.01174148038804800.02348296077609600.988258519611952
290.00722031347372240.01444062694744480.992779686526278
300.004186188890214870.008372377780429750.995813811109785
310.002403455339123830.004806910678247670.997596544660876
320.001478109439466680.002956218878933350.998521890560533
330.001448566319112480.002897132638224950.998551433680888
340.000911017340697380.001822034681394760.999088982659303
350.0004806981173368480.0009613962346736960.999519301882663
360.0005064331315931350.001012866263186270.999493566868407
370.0004805524112876150.0009611048225752310.999519447588712
380.0002782701379104240.0005565402758208480.99972172986209
390.0004669169029582640.0009338338059165280.999533083097042
400.0004277751559292490.0008555503118584980.99957222484407
410.0002812696334807030.0005625392669614060.99971873036652
420.0001779230741151390.0003558461482302770.999822076925885
430.0001170410832259650.0002340821664519310.999882958916774
447.45114703772047e-050.0001490229407544090.999925488529623
454.38980632655861e-058.77961265311721e-050.999956101936734
462.32752551316538e-054.65505102633077e-050.999976724744868
471.61798897740603e-053.23597795481207e-050.999983820110226
487.77160411642169e-061.55432082328434e-050.999992228395884
493.90432474718083e-067.80864949436167e-060.999996095675253
501.80064328833247e-063.60128657666495e-060.999998199356712
518.2506646789337e-071.65013293578674e-060.999999174933532
523.94551722036872e-077.89103444073743e-070.999999605448278
535.95779233752204e-071.19155846750441e-060.999999404220766
544.77011948463465e-079.5402389692693e-070.999999522988052
552.19137546179377e-074.38275092358755e-070.999999780862454
561.02739635473992e-072.05479270947983e-070.999999897260365
571.08192218136744e-052.16384436273489e-050.999989180778186
586.41924253313564e-061.28384850662713e-050.999993580757467
596.2161016779161e-050.0001243220335583220.99993783898322
600.0001436707141235490.0002873414282470980.999856329285876
610.0003177439380390250.0006354878760780490.99968225606196
620.0004391837406235390.0008783674812470780.999560816259377
630.0007642347175229740.001528469435045950.999235765282477
640.0004638445961527530.0009276891923055070.999536155403847
650.0004993563113659250.000998712622731850.999500643688634
660.0004578573664166310.0009157147328332610.999542142633583
670.0008086458208290550.001617291641658110.999191354179171
680.001188906504348760.002377813008697520.998811093495651
690.02864620110676090.05729240221352180.971353798893239
700.04200764002701830.08401528005403660.957992359972982
710.4936763417983560.9873526835967120.506323658201644
720.4943617030673340.9887234061346680.505638296932666
730.4957594752646450.991518950529290.504240524735355
740.4238387418051590.8476774836103190.576161258194841
750.3701807198102110.7403614396204230.629819280189789
760.2942704076747590.5885408153495180.705729592325241
770.2503789350693950.500757870138790.749621064930605
780.1782533835034210.3565067670068430.821746616496579
790.1341277515463270.2682555030926530.865872248453673
800.07581090848557530.1516218169711510.924189091514425
810.1310763561989070.2621527123978140.868923643801093


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level390.573529411764706NOK
5% type I error level460.676470588235294NOK
10% type I error level500.735294117647059NOK