Multiple Linear Regression - Estimated Regression Equation
Y[t] = + 2811.22887588795 + 536.65294179354X[t] -0.270735639007487Y1[t] + 0.146972260964833Y2[t] + 0.38234645812074Y3[t] + 0.0456948838664329Y4[t] + 1482.41945217729M1[t] + 2216.79549815919M2[t] + 1849.07312409255M3[t] + 1917.71663306403M4[t] + 1195.64039723629M5[t] -1357.72571856797M6[t] -3420.23672889271M7[t] -2823.19225751594M8[t] -2512.03180419436M9[t] -1523.91827487921M10[t] -1046.44162180443M11[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)2811.22887588795391.2924897.184500
X536.65294179354124.3860494.31443.8e-051.9e-05
Y1-0.2707356390074870.091772-2.95010.0039650.001983
Y20.1469722609648330.0888921.65340.1014230.050711
Y30.382346458120740.0893384.27984.3e-052.2e-05
Y40.04569488386643290.0928820.4920.6238330.311916
M11482.41945217729211.3757437.013200
M22216.79549815919311.1999387.123400
M31849.07312409255449.3106734.11548e-054e-05
M41917.71663306403547.1207383.50510.0006870.000344
M51195.64039723629631.9577181.8920.0614180.030709
M6-1357.72571856797668.486055-2.0310.0449310.022465
M7-3420.23672889271653.961571-5.231e-060
M8-2823.19225751594604.44105-4.67079e-065e-06
M9-2512.03180419436397.395117-6.321200
M10-1523.91827487921221.860113-6.868800
M11-1046.44162180443190.099113-5.504700


Multiple Linear Regression - Regression Statistics
Multiple R0.979897654723466
R-squared0.96019941373255
Adjusted R-squared0.953766995749931
F-TEST (value)149.275034104935
F-TEST (DF numerator)16
F-TEST (DF denominator)99
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation350.48446385522
Sum Squared Residuals12161096.5809843


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
148314547.79356918019283.206430819806
251345302.56120693764-168.561206937636
362505505.63918887246744.360811127543
457605807.3616880164-47.3616880164031
562495549.72732342193699.272676578067
629173232.49926934452-315.49926934452
717412007.5945697203-266.594569720301
823592597.88950396155-238.889503961549
915111853.91529502778-342.915295027784
1020592023.8937739110635.106226088936
1126352410.92774720325224.072252796752
1228673085.97608169117-218.976081691165
1344034761.01748546589-358.017485465894
1457205358.91351071248361.08648928752
1545024975.40632430604-473.406324306041
1657496165.2536820098-416.253682009801
1756275500.29551744841126.704482551588
1828462757.7157350872488.2842649127623
1917621851.31958573186-89.3195857318558
2024292343.4468843402685.5531156597398
2111691245.82845969249-76.828459692487
2221542668.21130137873-514.211301378728
2322492362.66719287721-113.667192877213
2426873076.87855633307-389.878556333072
2543594773.71387099397-414.713870993968
2653825201.12615298785180.873847012154
2744594973.98760317394-514.987603173944
2863986102.17036702774295.82963297226
2945965187.02460277613-591.024602776131
3030243100.34340782409-76.343407824087
3118871897.77821224789-10.7782122478856
3220701971.222773222998.7772267771035
3313511382.34033099598-31.3403309959778
3422182085.44842819276132.551571807237
3524612777.19148728784-316.191487287836
3630283082.07141763516-54.0714176351594
3747844745.3377796003838.6622203996229
3849755220.16296908772-245.16296908772
3946075286.7076767589-679.707676758901
4062496180.3629823417168.6370176582872
4148095112.92142479913-303.921424799135
4231573058.7673078999698.2326921000364
4319101842.8686843976467.1313156023588
4422282059.17442211767168.825577882334
4515941403.52955122859190.470448771405
4624672057.7526732374409.2473267626
4722222270.30135350789-48.3013535078871
4836073820.15625110597-213.156251105973
4946854659.7635990960525.2364009039458
5049625252.05995903998-290.059959039985
5157705486.13450823831283.865491761689
5254805852.19183318817-372.191833188173
5350005482.55157323965-482.551573239646
5432283338.11002947173-110.110029471735
5519931610.8368795142382.163120485796
5622882085.02720241632202.972797583678
5715801435.35843189329144.641568106712
5821112105.340400619935.65959938006733
5921922391.3590921892-199.359092189204
6036013236.69209619747364.307903802532
6146655056.87671942958-391.876719429584
6248765228.85506585427-352.855065854273
6358135502.81340270894310.186597291058
6455895819.98948780226-230.989487802262
6553315425.56550273361-94.5655027336064
6630753277.0276470921-202.027647092102
6720021744.54789460313257.452105396873
6823062191.64124571704114.358754282959
6915071388.43393920715118.566060792847
7019922124.19940385637-132.199403856369
7124872420.1411483816366.8588516183671
7234903112.24660010223377.753399897774
7346474544.79729551188102.20270448812
7455945861.42184214837-267.421842148368
7556115276.81924709339334.180752906606
7657885968.24980189918-180.249801899177
7762045615.70296287732588.297037122684
7830133025.49785624628-12.4978562462758
7919311956.4968666689-25.4968666688975
8025492544.632935735584.36706426442032
8115041328.39630161174175.60369838826
8220902130.74618886155-40.7461888615537
8327022482.83399154483219.166008455172
8429393078.39853669535-139.398536695351
8545004762.90453695668-262.904536956678
8662085370.26791061217837.732089387828
8764155424.78708578126990.212914218735
8856575759.43650601541-102.436506015411
8959645997.37860676079-33.3786067607902
9031633406.68425444474-243.684254444744
9119971867.26447880101129.735521198991
9224222451.06104297033-29.0610429703297
9313761418.86509357954-42.8650935795374
9422022178.8239723279123.1760276720877
9526832388.15701272634294.842987273659
9633033045.25981017406257.740189825938
9752024698.53814957424503.461850425761
9852315231.56263930886-0.562639308860696
9948805394.12329845784-514.123298457836
10079986853.116906050951144.88309394905
10149774796.50937415352180.490625846483
10235313386.41667831097144.583321689033
10320252447.50355379964-422.503553799642
10422052227.16200607933-22.1620060793274
10514421577.33259676344-135.33259676344
10622382156.5838576142881.4161423857224
10721792306.42097428181-127.42097428181
10832183202.3206500655215.679349934477
10951394664.25699419113474.743005808868
11049905045.06874331066-55.0687433106602
11149145394.58166460891-480.581664608911
11260846243.86674564837-159.866745648371
11356725761.32311178951-89.3231117895135
11435482918.93781427837629.062185721631
11517931814.78927451544-21.7892745154363
11620862470.74198343903-384.741983439028


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
200.9879850239666430.02402995206671490.0120149760333574
210.9722950017700150.05540999645996990.027704998229985
220.9560270573896280.08794588522074340.0439729426103717
230.9298222116664150.140355576667170.0701777883335852
240.8963048147212680.2073903705574630.103695185278732
250.8690243071477140.2619513857045720.130975692852286
260.8215275439842950.356944912031410.178472456015705
270.8427627769833080.3144744460333840.157237223016692
280.8605520245952020.2788959508095970.139447975404798
290.9025155172193130.1949689655613740.097484482780687
300.8681997092983830.2636005814032350.131800290701617
310.854216935753720.291566128492560.14578306424628
320.8292577089420570.3414845821158860.170742291057943
330.7765830920067540.4468338159864910.223416907993246
340.7186406520167180.5627186959665650.281359347983282
350.6893452115925090.6213095768149820.310654788407491
360.6424264690608720.7151470618782560.357573530939128
370.5818263608027140.8363472783945720.418173639197286
380.5496583152361310.9006833695277390.450341684763869
390.701943632638840.5961127347223210.298056367361161
400.641571202376870.7168575952462610.358428797623131
410.6192965097722040.7614069804555910.380703490227796
420.561228852898510.877542294202980.43877114710149
430.5232227509665830.9535544980668340.476777249033417
440.4728965303375850.945793060675170.527103469662415
450.4147980972453850.829596194490770.585201902754615
460.4095875179941870.8191750359883740.590412482005813
470.3532637502686820.7065275005373650.646736249731318
480.3552945668680760.7105891337361520.644705433131924
490.3044051169329710.6088102338659430.695594883067029
500.2898034755574180.5796069511148370.710196524442582
510.2719398106725590.5438796213451190.72806018932744
520.2597044521286250.519408904257250.740295547871375
530.3378150026212440.6756300052424880.662184997378756
540.304444780662650.60888956132530.69555521933735
550.3207284134041490.6414568268082980.679271586595851
560.2811424571837760.5622849143675520.718857542816224
570.2326540420356190.4653080840712380.767345957964381
580.189478426507870.3789568530157410.81052157349213
590.1691728268303270.3383456536606530.830827173169673
600.1645343899647710.3290687799295430.835465610035229
610.2307558738574420.4615117477148850.769244126142558
620.2233446529333620.4466893058667230.776655347066638
630.2113225102485850.4226450204971690.788677489751415
640.1936843560219530.3873687120439060.806315643978047
650.1626354573712590.3252709147425180.837364542628741
660.1588080952701160.3176161905402320.841191904729884
670.1307746591830780.2615493183661560.869225340816922
680.1005787941667310.2011575883334620.899421205833269
690.07551357182154020.151027143643080.92448642817846
700.0603078347588140.1206156695176280.939692165241186
710.04356767757318990.08713535514637980.95643232242681
720.04170456834973690.08340913669947370.958295431650263
730.03184032051893630.06368064103787250.968159679481064
740.07415232862454560.1483046572490910.925847671375454
750.09689509384830930.1937901876966190.90310490615169
760.0768155117813090.1536310235626180.92318448821869
770.1858252714676030.3716505429352060.814174728532397
780.1526151085472830.3052302170945660.847384891452717
790.1176510771057720.2353021542115440.882348922894228
800.0938807739641230.1877615479282460.906119226035877
810.07257240788224130.1451448157644830.927427592117759
820.05210564783665210.1042112956733040.947894352163348
830.0376404941972020.0752809883944040.962359505802798
840.02853768319662810.05707536639325610.971462316803372
850.04906132131251470.09812264262502950.950938678687485
860.2473771467837110.4947542935674220.752622853216289
870.4909042910874230.9818085821748460.509095708912577
880.6923944694894130.6152110610211750.307605530510587
890.9521602330916960.09567953381660770.0478397669083038
900.9729317556175460.0541364887649090.0270682443824545
910.9869250102880770.02614997942384510.0130749897119226
920.97623568221220.04752863557559750.0237643177877988
930.9526309887154740.09473802256905130.0473690112845257
940.900252867984380.199494264031240.09974713201562
950.9768558123045090.0462883753909830.0231441876954915
960.9575852329086440.08482953418271150.0424147670913558


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level40.051948051948052NOK
10% type I error level160.207792207792208NOK