Multiple Linear Regression - Estimated Regression Equation
(1-B)lnYt[t] = + 0.00668792198944815 + 0.564381448485195`(1-B)lnX_[t-1]`[t] + 0.189102494116169`(1-B)lnX_[t-2]`[t] -0.0904226553207113`(1-B)lnX_[t-3]`[t] + 0.152712556338415`(1-B)lnX_[t-4]`[t] -0.057034187147676`(1-B)lnX_[t-5]`[t] + 0.258408373637674`(1-B)lnY_[t-1]`[t] -0.0554449120219212`(1-B)lnY_[t-2]`[t] -0.0247153522663553`(1-B)lnY_[t-3]`[t] -0.01140685785384`(1-B)lnY_[t-4]`[t] + 0.000229808193820455`(1-B)lnY_[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)0.006687921989448150.0085950.77810.4385060.219253
`(1-B)lnX_[t-1]`0.5643814484851950.1730123.26210.0015520.000776
`(1-B)lnX_[t-2]`0.1891024941161690.1906710.99180.323910.161955
`(1-B)lnX_[t-3]`-0.09042265532071130.188738-0.47910.6330110.316505
`(1-B)lnX_[t-4]`0.1527125563384150.2272040.67210.503180.25159
`(1-B)lnX_[t-5]`-0.0570341871476760.219839-0.25940.7958780.397939
`(1-B)lnY_[t-1]`0.2584083736376740.1056822.44520.0163830.008191
`(1-B)lnY_[t-2]`-0.05544491202192120.105496-0.52560.6004570.300228
`(1-B)lnY_[t-3]`-0.02471535226635530.102569-0.2410.810120.40506
`(1-B)lnY_[t-4]`-0.011406857853840.108939-0.10470.9168350.458418
`(1-B)lnY_[t-5]`0.0002298081938204550.1056710.00220.998270.499135


Multiple Linear Regression - Regression Statistics
Multiple R0.50209976555684
R-squared0.252104174572234
Adjusted R-squared0.170811150069216
F-TEST (value)3.10117843583092
F-TEST (DF numerator)10
F-TEST (DF denominator)92
p-value0.00190991425640519
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.0834335845071244
Sum Squared Residuals0.640426998181088


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1-0.03264333820.00742460276233826-0.0400679409623383
20.0440720340.02560373190287930.0184683020971207
30.08823611690.04379686390918330.0444392529908167
4-0.03550668850.0142357920576378-0.0497424805576378
50.0278273388-0.01096909215820410.038796430958204
6-0.20043089140.0332859874451499-0.23371687884515
7-0.0263424279-0.06896161925759650.0426191913575965
80.06550517180.0005813688294878380.0649238029705122
9-0.07093575140.0354942962446731-0.106430047644673
10-0.012918559-0.04851241566588970.0355938566658898
110.118395754-0.001259269579407720.119655023579408
12-0.03309321730.0351899338116709-0.0682831511116709
13-0.0860908693-0.00999288721735508-0.0760979820826449
140.02106983910.006296467292810620.0147733718071894
150.014945670.01173449373524510.00321117626475487
16-0.190034757-0.0471452574182717-0.142889499581728
17-0.1242436027-0.0512533013620111-0.0729903013379889
180.0062305498-0.00202939188430380.0082599416843038
190.0255507001-0.0003918300717811120.0259425301717811
200.02688066280.0414166688200596-0.0145360060200596
210.17731559660.02546070716722570.151854889432774
220.06605423730.04558785296219850.0204663843378015
23-0.01395912550.0320022137876948-0.0459613392876948
24-0.0373949697-0.00252298120481733-0.0348719884951827
250.0366137196-0.06175921241905250.0983729320190525
260.019350449-0.05279156104674430.0721420100467443
270.0837801497-0.02520318459639220.108983334296392
28-0.0369814175-0.0244574164228798-0.0125240010771202
29-0.111311701-0.0638558400290544-0.0474558609709456
300.11569127010.0007328518679718820.114958418232028
310.09610440850.03660880382575560.0594956046742444
320.0671607829-0.0001652744695639780.067326057369564
33-0.0791409595-0.0291430667184888-0.0499978927815112
34-0.1831923744-0.0872395777001208-0.0959527966998792
350.02423157290.01740480931582610.00682676358417388
360.06826000230.06263238397022640.00562761832977362
370.03458557960.03405332877827490.000532250821725067
380.04635904470.03910970278045580.00724934191954416
39-0.09311515990.038871541539403-0.131986701439403
400.0760673553-0.00316145409781780.0792288093978178
41-0.01106511980.0354414863335174-0.0465066061335174
420.02845093360.02323075288541180.00522018071458824
430.03682618820.0228783297380470.013947858461953
44-0.00588044820.0529467109696441-0.0588271591696441
450.06807501920.03867923364274380.0293957855572562
460.01579140010.0171071252501236-0.00131572515012358
470.11217664250.02545971580276790.086716926697232
48-0.04376644550.0261296140135815-0.0698960595135815
490.060326653-0.01265441762649420.0729810706264942
500.10286734410.03108678800879190.0717805560912081
510.02595097270.0332576836204554-0.00730671092045543
520.13486957460.04769658702139420.0871729875786058
53-0.0967153180.0676181102466701-0.16433342824667
54-0.1035936648-0.00314465458577151-0.100449010214228
550.09503890750.005944398924861150.0890945085751389
560.03597190680.0541497175885549-0.0181778107885549
570.15206094530.03709523211295080.114965713187049
58-0.00225056360.0537223114719809-0.0559728750719809
59-0.0277954311-0.00162728509546373-0.0261681460045363
600.0653827593-0.01126576159713250.0766485208971325
610.04438886260.02553664714080660.0188522154591934
620.10109611690.03097364496648160.0701224719335184
63-0.00297502760.0455643614523336-0.0485393890523336
64-0.07520626990.00851828136081939-0.0837245512608194
65-0.0525843352-0.0114933901245308-0.0410909450754692
660.02290041950.01171407112884260.0111863483711574
670.10096214220.04149298201870990.05946916018129
68-0.02890882460.066735641994235-0.095644466594235
690.02084745160.0242051126621739-0.00335766106217393
700.07885782280.03386628468973680.0449915381102632
710.05493143220.02904393377384920.0258874984261508
72-0.03216527820.0021643582108228-0.0343296364108228
730.0646729207-0.04444337052358650.109116291223587
74-0.00107570270.0312847667960109-0.0323604694960109
75-0.14588856910.0360764937015289-0.181965062801529
76-0.0677816324-0.0200375151453304-0.0477441172546696
77-0.00987703690.0304548760408192-0.0403319129408192
780.05019915630.02960773806037010.0205914182396299
79-0.12710636310.0364657824036765-0.163572145503676
800.0582277708-0.0006746768289663040.0589024476289663
810.05955526480.03960637689928410.0199488879007159
820.08850412530.004611419377341480.0838927059226585
830.00044336070.0525601631729873-0.0521168024729873
840.03798108350.02545945061616460.0125216328838354
850.0681769863-0.001731518626947340.0699085049269473
86-0.05209084860.0187450143702702-0.0708358629702702
870.0666010623-0.05835962772580160.124960690025802
880.06771739450.01897165192337260.0487457425766274
890.12511274830.04954668618052230.0755660621194777
90-0.0218349286-0.0172409202966318-0.00459400830336819
910.0178312442-0.01618602107783540.0340172652778354
920.0199663138-0.01883667015047550.0388029839504755
930.088436301-0.03525299261019670.123689293610197
940.06460540280.02600922501187620.0385961777881238
950.12339123530.03520485400091790.088186381299082
960.06733087040.03350139268170260.0338294777182974
970.0232412696-0.03847691724606750.0617181868460675
98-0.1570633927-0.0822930036807366-0.0747703890192634
99-0.134923147-0.0605896045706095-0.0743335424293905
100-0.2920959272-0.0342882639927804-0.25780766320722
101-0.3111517877-0.249359850585182-0.0617919371148185
102-0.2363887781-0.146487540930086-0.0899012371699145
1030.0334524402-0.06664297423294260.100095414432943


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
140.5443728794262830.9112542411474340.455627120573717
150.4361077286326960.8722154572653910.563892271367304
160.6750387000449680.6499225999100640.324961299955032
170.5585265513617080.8829468972765840.441473448638292
180.5018395783718710.9963208432562570.498160421628129
190.4875605629124070.9751211258248140.512439437087593
200.4056201159182830.8112402318365670.594379884081717
210.3972432118863810.7944864237727630.602756788113619
220.3131577828895080.6263155657790160.686842217110492
230.2795481092207490.5590962184414980.720451890779251
240.207966189281380.415932378562760.79203381071862
250.2234061057448270.4468122114896550.776593894255173
260.4649389277001340.9298778554002690.535061072299866
270.6400453345805620.7199093308388760.359954665419438
280.6494164195532510.7011671608934980.350583580446749
290.6824601243788850.6350797512422310.317539875621115
300.7535270891165030.4929458217669940.246472910883497
310.7307613382942890.5384773234114220.269238661705711
320.69342346709520.61315306580960.3065765329048
330.6445984565616290.7108030868767430.355401543438371
340.681341967766730.637316064466540.31865803223327
350.6196507154869310.7606985690261390.380349284513069
360.5614936978381920.8770126043236160.438506302161808
370.5183537572830940.9632924854338120.481646242716906
380.4578257860042140.9156515720084280.542174213995786
390.5064116834473370.9871766331053270.493588316552663
400.5388226029521920.9223547940956150.461177397047808
410.4886472382412060.9772944764824130.511352761758794
420.4392639242534810.8785278485069630.560736075746519
430.3837525132814470.7675050265628940.616247486718553
440.3394560145181310.6789120290362620.660543985481869
450.2979059616354090.5958119232708170.702094038364591
460.2445095277891030.4890190555782060.755490472210897
470.2652952471541330.5305904943082670.734704752845867
480.2470142115685590.4940284231371190.75298578843144
490.2394710124711690.4789420249423370.760528987528831
500.2301458155003850.460291631000770.769854184499615
510.186251973529030.372503947058060.81374802647097
520.2017550409323950.403510081864790.798244959067605
530.3252759125244340.6505518250488690.674724087475566
540.3413318957784250.682663791556850.658668104221575
550.3737930128480520.7475860256961040.626206987151948
560.3309627571350460.6619255142700910.669037242864954
570.4077798467665070.8155596935330140.592220153233493
580.3921753635190880.7843507270381760.607824636480912
590.3706633985040490.7413267970080980.629336601495951
600.4021101176560410.8042202353120830.597889882343959
610.3472253627429230.6944507254858460.652774637257077
620.3905634167451470.7811268334902950.609436583254853
630.3508341702049410.7016683404098810.649165829795059
640.3623762678147360.7247525356294720.637623732185264
650.3168904167820990.6337808335641980.683109583217901
660.2674969838244720.5349939676489440.732503016175528
670.3020786603938490.6041573207876970.697921339606152
680.3245975608432060.6491951216864120.675402439156794
690.2690496323475270.5380992646950540.730950367652473
700.227090814995120.454181629990240.77290918500488
710.1831576060981570.3663152121963140.816842393901843
720.1417666896735780.2835333793471560.858233310326422
730.1425031475821810.2850062951643620.857496852417819
740.1178096568741830.2356193137483660.882190343125817
750.2358405919328430.4716811838656870.764159408067157
760.2255500710182390.4511001420364780.774449928981761
770.1883441558530750.376688311706150.811655844146925
780.160562037578980.3211240751579590.83943796242102
790.4392704381469570.8785408762939150.560729561853043
800.3748642552096930.7497285104193850.625135744790307
810.2933785429878130.5867570859756260.706621457012187
820.2664324348062470.5328648696124930.733567565193753
830.3696728413035010.7393456826070020.630327158696499
840.3734102740775010.7468205481550020.626589725922499
850.3285821208157890.6571642416315770.671417879184211
860.7123278961228890.5753442077542220.287672103877111
870.6051407455792280.7897185088415450.394859254420772
880.4887395189220420.9774790378440850.511260481077958
890.5985879519679910.8028240960640180.401412048032009


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level00OK
10% type I error level00OK