Multiple Linear Regression - Estimated Regression Equation
Yt[t] = + 3000.29080206064 + 0.241703589564587`Yt-1`[t] -0.0637255373607908`Yt-3`[t] -0.105740638589231`Yt-6`[t] + 0.576198585815679`Yt-12 `[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)3000.290802060641347.5393972.22650.0288290.014415
`Yt-1`0.2417035895645870.0798423.02730.0033310.001666
`Yt-3`-0.06372553736079080.07025-0.90710.3670980.183549
`Yt-6`-0.1057406385892310.0802-1.31850.1911580.095579
`Yt-12 `0.5761985858156790.071398.071100


Multiple Linear Regression - Regression Statistics
Multiple R0.806187929180415
R-squared0.649938977156206
Adjusted R-squared0.632214368404622
F-TEST (value)36.6687347667465
F-TEST (DF numerator)4
F-TEST (DF denominator)79
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation459.357740870306
Sum Squared Residuals16669753.1937002


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
11010210657.4945898650-555.494589864962
284639302.77132163496-839.77132163496
391148726.96965685472387.030343145281
485638524.6592533066538.3407466933546
588728370.48040556903501.519594430971
683018349.81102928618-48.8110292861799
783018138.37014436535162.629855634649
882788301.78323592748-23.7832359274822
977367964.15091485477-228.150914854766
1079738256.14436599475-283.144365994751
1182688432.03157906886-164.03157906886
1294768734.81034871273741.189651287271
13111009725.595380377871374.40461962213
1489629157.36552884498-195.36552884498
1591738996.03951070543176.960489294573
1687388601.00274329954136.997256700456
1784598778.95875534954-319.958755349541
1880788241.33328156135-163.333281561351
1984118005.24202562028405.757974379723
2082918316.32966369896-25.3296636989592
2178107976.99375443124-166.993754431245
2286168022.06996653417593.930033465834
2383128424.01034518854-112.010345188539
2496929117.51951239928574.480487600718
25991110300.2425536001-389.242553600063
2689159153.32450322917-238.324503229175
2794528997.08563523348454.914364766518
2891128777.05123061491334.948769385087
2984728629.72839406285-157.728394062852
3082308075.36374072986154.63625927014
3183848207.25508398348176.744916016522
3286258321.43562642432303.564373575677
3382218061.17352885094159.826471149059
3486498454.07942320106194.920576798938
3586258434.6803436399190.319656360104
36104439275.367857548341167.63214245166
37103579797.41388533723559.58611466277
3885869178.77950415891-592.779504158913
3988928987.00727869118-95.00727869118
4083298825.28446081745-496.28446081745
4181018435.83394696266-334.833946962655
4279228029.54897538691-107.548975386912
4381208119.989787523260.010212476735866
4478388508.50705089842-670.507050898419
4577358186.61264575095-451.612645750948
4684068455.2444938832-49.2444938832061
4782098645.67830355556-436.678303555555
4894519671.08303007987-220.083030079870
49100419858.02932792918182.970672070819
5094119022.55954123496388.440458765041
51104058978.347215441461426.65278455855
5284678785.65074411819-318.650744118187
5384648246.83390431542217.166095684581
5481027948.29618942127153.703810578732
5576278035.99992462796-408.999924627958
5675137825.51049730806-312.510497308056
5775107656.57028352559-146.570283525589
5882918277.6694116715213.3305883284799
5980648360.51072689067-296.510726890672
6093839059.75194342397323.248056576032
6197069718.97330234202-12.9733023420156
6285799460.55858248757-881.558582487571
6394749677.16326948595-203.163269485951
6483188673.64833552975-355.648335529746
6582138488.332195801-275.332195801003
6680598057.863172594341.13682740565717
6791117786.45898646371324.54101353630
6877088100.9054050156-392.905405015606
6976807675.242534315244.75746568475654
7080148173.68284223508-159.682842235079
7180078224.12445813855-217.124458138550
7287189000.50684109132-282.506841091322
7394869225.94675521583260.053244784167
7491138910.99950048938202.000499510617
7590259294.1936767038-269.193676703800
7684768522.5796096373-46.5796096373016
7779528353.8932973614-401.893297361396
7877598068.93228746475-309.932287464745
7978358582.22091653142-747.220916531419
8076007865.01721320977-265.017213209767
8176517813.68751416573-162.687514165735
8283198071.67319464203247.326805357967
8388128299.48139827101512.518601728989
8486308845.47640328362-215.476403283621


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
80.2763355130871380.5526710261742770.723664486912862
90.3278247319294040.6556494638588080.672175268070596
100.4101144396900310.8202288793800620.589885560309969
110.3002408554309040.6004817108618070.699759144569096
120.5443385350201220.9113229299597560.455661464979878
130.9673272261505020.06534554769899570.0326727738494978
140.9555495831049010.0889008337901980.044450416895099
150.9333386848079760.1333226303840490.0666613151920245
160.913485380865790.1730292382684200.0865146191342102
170.8976752079718430.2046495840563140.102324792028157
180.8556732009215660.2886535981568670.144326799078434
190.8531341726149550.2937316547700910.146865827385045
200.804418375359460.3911632492810810.195581624640540
210.7621904172319920.4756191655360170.237809582768008
220.7627813674275150.474437265144970.237218632572485
230.7103395056404870.5793209887190250.289660494359513
240.7040720205456870.5918559589086270.295927979454314
250.6721116036636260.6557767926727480.327888396336374
260.6176540609690230.7646918780619530.382345939030977
270.6099952964926810.7800094070146370.390004703507319
280.5864281784938480.8271436430123040.413571821506152
290.5274208723611720.9451582552776560.472579127638828
300.4629922845611330.9259845691222670.537007715438867
310.4008737424125320.8017474848250640.599126257587468
320.3532377417982660.7064754835965310.646762258201734
330.2954931807341470.5909863614682950.704506819265853
340.2450277897417650.490055579483530.754972210258235
350.1998307208254010.3996614416508020.800169279174599
360.4893609601410120.9787219202820230.510639039858988
370.5512070621586980.8975858756826050.448792937841302
380.5755323961606350.848935207678730.424467603839365
390.5179891075872810.9640217848254370.482010892412719
400.5122312903206840.9755374193586320.487768709679316
410.4986890567158540.9973781134317080.501310943284146
420.4357655665434690.8715311330869380.564234433456531
430.3745382618245180.7490765236490370.625461738175481
440.4759290112092740.9518580224185480.524070988790726
450.4859090800661620.9718181601323240.514090919933838
460.4272283035219970.8544566070439930.572771696478003
470.4242590953542830.8485181907085660.575740904645717
480.3763669717123160.7527339434246310.623633028287684
490.3302074597926450.660414919585290.669792540207355
500.3099000061461920.6198000122923840.690099993853808
510.8605860856409120.2788278287181750.139413914359088
520.8280845205742960.3438309588514080.171915479425704
530.8025685141948230.3948629716103540.197431485805177
540.7780245198275520.4439509603448960.221975480172448
550.7626204646116360.4747590707767280.237379535388364
560.7319353069619980.5361293860760040.268064693038002
570.6966103925299370.6067792149401270.303389607470063
580.6294906772323570.7410186455352860.370509322767643
590.5959399430808570.8081201138382860.404060056919143
600.5755016947640310.8489966104719380.424498305235969
610.5283997744554520.9432004510890960.471600225544548
620.663929445468010.6721411090639790.336070554531990
630.6441101010744910.7117797978510180.355889898925509
640.5907984241993880.8184031516012230.409201575800612
650.5154630584554470.9690738830891060.484536941544553
660.4300112710544940.8600225421089890.569988728945506
670.954364553003430.09127089399314060.0456354469965703
680.966552456986080.06689508602784170.0334475430139209
690.9423073537681120.1153852924637760.0576926462318878
700.9299747828678290.1400504342643420.0700252171321708
710.8980663718238880.2038672563522240.101933628176112
720.8368288212401690.3263423575196620.163171178759831
730.9460670385587270.1078659228825460.053932961441273
740.9058215492925290.1883569014149430.0941784507074714
750.819815391715380.3603692165692390.180184608284619
760.8857691093741860.2284617812516270.114230890625814


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 level40.0579710144927536OK