Multiple Linear Regression - Estimated Regression Equation
Invoer[t] = + 9489.82500000001 + 3199.11590909090Dummie[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)9489.82500000001286.79758433.088900
Dummie3199.11590909090351.2538719.107700


Multiple Linear Regression - Regression Statistics
Multiple R0.624122410216832
R-squared0.389528782934867
Adjusted R-squared0.384832850495905
F-TEST (value)82.9502527981266
F-TEST (DF numerator)1
F-TEST (DF denominator)130
p-value1.33226762955019e-15
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation1902.39995636125
Sum Squared Residuals470486327.215227


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
177879489.82499999992-1702.82499999992
28474.29489.82499999998-1015.62499999998
39154.79489.825-335.125000000001
48557.29489.825-932.625000000001
57951.19489.825-1538.72500000000
69156.79489.825-333.125000000001
77865.79489.825-1624.12500000000
87337.49489.825-2152.42500000000
99131.79489.825-358.125000000001
108814.69489.825-675.225000000002
118598.89489.825-891.025000000003
128439.69489.825-1050.22500000000
137451.89489.825-2038.025
148016.29489.825-1473.62500000000
159544.19489.82554.2749999999982
168270.79489.825-1219.12500000000
178102.29489.825-1387.62500000000
1893699489.825-120.825000000002
197657.79489.825-1832.12500000000
207816.69489.825-1673.22500000000
219391.39489.825-98.525000000003
229445.49489.825-44.4250000000026
239533.19489.82543.2749999999982
2410068.79489.825578.874999999999
258955.59489.825-534.325000000002
2610423.99489.825934.074999999997
2711617.29489.8252127.375
289391.19489.825-98.7250000000019
29108729489.8251382.17500000000
3010230.49489.825740.574999999997
3192219489.825-268.825000000002
329428.69489.825-61.2250000000019
3310934.59489.8251444.67500000000
34109869489.8251496.17500000000
3511724.69489.8252234.775
3611180.99489.8251691.07500000000
3711163.29489.8251673.375
3811240.99489.8251751.07500000000
3912107.19489.8252617.275
4010762.39489.8251272.47500000000
4111340.49489.8251850.57500000000
4211266.89489.8251776.97500000000
439542.79489.82552.8749999999985
449227.79489.825-262.125000000001
4510571.912688.9409090909-2117.04090909091
4610774.412688.9409090909-1914.54090909091
4710392.812688.9409090909-2296.14090909091
489920.212688.9409090909-2768.74090909091
499884.912688.9409090909-2804.04090909091
5010174.512688.9409090909-2514.44090909091
5111395.412688.9409090909-1293.54090909091
5210760.212688.9409090909-1928.74090909091
5310570.112688.9409090909-2118.84090909091
541053612688.9409090909-2152.94090909091
559902.612688.9409090909-2786.34090909091
56888912688.9409090909-3799.94090909091
5710837.312688.9409090909-1851.64090909091
5811624.112688.9409090909-1064.84090909091
591050912688.9409090909-2179.94090909091
6010984.912688.9409090909-1704.04090909091
6110649.112688.9409090909-2039.84090909091
6210855.712688.9409090909-1833.24090909091
6311677.412688.9409090909-1011.54090909091
6410760.212688.9409090909-1928.74090909091
6510046.212688.9409090909-2642.74090909091
6610772.812688.9409090909-1916.14090909091
679987.712688.9409090909-2701.24090909091
688638.712688.9409090909-4050.24090909091
6911063.712688.9409090909-1625.24090909091
7011855.712688.9409090909-833.240909090909
7110684.512688.9409090909-2004.44090909091
7211337.412688.9409090909-1351.54090909091
731047812688.9409090909-2210.94090909091
7411123.912688.9409090909-1565.04090909091
7512909.312688.9409090909220.359090909090
7611339.912688.9409090909-1349.04090909091
7710462.212688.9409090909-2226.74090909091
7812733.512688.940909090944.5590909090904
7910519.212688.9409090909-2169.74090909091
8010414.912688.9409090909-2274.04090909091
8112476.812688.9409090909-212.140909090910
8212384.612688.9409090909-304.340909090909
8312266.712688.9409090909-422.240909090909
8412919.912688.9409090909230.95909090909
8511497.312688.9409090909-1191.64090909091
861214212688.9409090909-546.94090909091
8713919.412688.94090909091230.45909090909
8812656.812688.9409090909-32.1409090909104
8912034.112688.9409090909-654.840909090909
9013199.712688.9409090909510.759090909091
9110881.312688.9409090909-1807.64090909091
9211301.212688.9409090909-1387.74090909091
9313643.912688.9409090909954.95909090909
941251712688.9409090909-171.940909090910
9513981.112688.94090909091292.15909090909
9614275.712688.94090909091586.75909090909
971343512688.9409090909746.05909090909
9813565.712688.9409090909876.759090909091
9916216.312688.94090909093527.35909090909
1001297012688.9409090909281.059090909090
10114079.912688.94090909091390.95909090909
1021423512688.94090909091546.05909090909
10312213.412688.9409090909-475.54090909091
1041258112688.9409090909-107.940909090910
10514130.412688.94090909091441.45909090909
10614210.812688.94090909091521.85909090909
10714378.512688.94090909091689.55909090909
10813142.812688.9409090909453.85909090909
10913714.712688.94090909091025.75909090909
11013621.912688.9409090909932.95909090909
11115379.812688.94090909092690.85909090909
11213306.312688.9409090909617.35909090909
11314391.212688.94090909091702.25909090909
11414909.912688.94090909092220.95909090909
11514025.412688.94090909091336.45909090909
11612951.212688.9409090909262.259090909091
11714344.312688.94090909091655.35909090909
11816093.412688.94090909093404.45909090909
11915413.612688.94090909092724.65909090909
12014705.712688.94090909092016.75909090909
12115972.812688.94090909093283.85909090909
12216241.412688.94090909093552.45909090909
12316626.412688.94090909093937.45909090909
12417136.212688.94090909094447.25909090909
12515622.912688.94090909092933.95909090909
12618003.912688.94090909095314.95909090909
12716136.112688.94090909093447.15909090909
12814423.712688.94090909091734.75909090909
12916789.412688.94090909094100.45909090909
13016782.212688.94090909094093.25909090909
13114133.812688.94090909091444.85909090909
1321260712688.9409090909-81.9409090909096


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
50.04353203355791050.08706406711582110.95646796644209
60.02194969758776980.04389939517553950.97805030241223
70.00982207125083060.01964414250166120.99017792874917
80.008871987787254680.01774397557450940.991128012212745
90.005231633856225460.01046326771245090.994768366143775
100.002071173734457960.004142347468915910.997928826265542
110.0006983964574210120.001396792914842020.999301603542579
120.0002196671483653320.0004393342967306640.999780332851635
130.0001950667092579960.0003901334185159920.999804933290742
147.27556890183157e-050.0001455113780366310.999927244310982
159.23081156274626e-050.0001846162312549250.999907691884373
163.27301669681818e-056.54603339363636e-050.999967269833032
171.23268213477734e-052.46536426955468e-050.999987673178652
181.00588344048050e-052.01176688096100e-050.999989941165595
196.59889150344053e-061.31977830068811e-050.999993401108497
203.39779444781356e-066.79558889562712e-060.999996602205552
212.93577469841226e-065.87154939682452e-060.999997064225302
222.48780235488490e-064.97560470976981e-060.999997512197645
232.19539545603819e-064.39079091207638e-060.999997804604544
244.4584936419605e-068.916987283921e-060.999995541506358
251.98386666530909e-063.96773333061819e-060.999998016133335
265.9765148415475e-061.1953029683095e-050.999994023485159
270.0001216130692303370.0002432261384606740.99987838693077
286.96036367277916e-050.0001392072734555830.999930396363272
290.0001432234856843980.0002864469713687960.999856776514316
300.0001279080555757430.0002558161111514850.999872091944424
317.03388897784823e-050.0001406777795569650.999929661110222
323.99583828826783e-057.99167657653566e-050.999960041617117
336.75814715197448e-050.0001351629430394900.99993241852848
340.0001035496342131370.0002070992684262750.999896450365787
350.0003098383612199560.0006196767224399110.99969016163878
360.0004175739571622830.0008351479143245660.999582426042838
370.0005089908208941480.001017981641788300.999491009179106
380.0006137402963193030.001227480592638610.99938625970368
390.001404347725641350.00280869545128270.998595652274359
400.001152267197626060.002304534395252120.998847732802374
410.001264893367463290.002529786734926580.998735106632537
420.001322274497596660.002644548995193330.998677725502403
430.0008151827214597780.001630365442919560.99918481727854
440.0004988301021462020.0009976602042924050.999501169897854
450.0003409355280857590.0006818710561715190.999659064471914
460.0002273627850560080.0004547255701120160.999772637214944
470.0001605347757789380.0003210695515578760.999839465224221
480.0001300219620102230.0002600439240204460.99986997803799
490.0001059760850368410.0002119521700736830.999894023914963
507.9696944194331e-050.0001593938883886620.999920303055806
515.9952665513999e-050.0001199053310279980.999940047334486
524.14641410125045e-058.2928282025009e-050.999958535858988
532.93869154583706e-055.87738309167413e-050.999970613084542
542.11183189251730e-054.22366378503459e-050.999978881681075
551.91617679720098e-053.83235359440195e-050.999980838232028
563.65750565742886e-057.31501131485772e-050.999963424943426
572.77825737532000e-055.55651475063999e-050.999972217426247
582.32837322138361e-054.65674644276722e-050.999976716267786
591.86788305158412e-053.73576610316825e-050.999981321169484
601.42116608815218e-052.84233217630436e-050.999985788339119
611.13990737477921e-052.27981474955842e-050.999988600926252
628.966592081345e-061.793318416269e-050.999991033407919
637.44865960501264e-061.48973192100253e-050.999992551340395
646.0941334496871e-061.21882668993742e-050.99999390586655
657.01548162669735e-061.40309632533947e-050.999992984518373
666.10407480152007e-061.22081496030401e-050.999993895925198
678.06961422743178e-061.61392284548636e-050.999991930385772
684.70230431969710e-059.40460863939421e-050.999952976956803
694.60896071040176e-059.21792142080351e-050.999953910392896
704.68496959765273e-059.36993919530545e-050.999953150304024
715.36393101842386e-050.0001072786203684770.999946360689816
725.42661046248711e-050.0001085322092497420.999945733895375
737.60938600399332e-050.0001521877200798660.99992390613996
748.67289788654204e-050.0001734579577308410.999913271021135
750.000133836378414670.000267672756829340.999866163621585
760.0001489784792375330.0002979569584750670.999851021520762
770.0002607689322658080.0005215378645316150.999739231067734
780.0003412366356611750.000682473271322350.999658763364339
790.0006419279239435620.001283855847887120.999358072076056
800.001441496645707630.002882993291415260.998558503354292
810.001778183560668240.003556367121336480.998221816439332
820.002139146674833060.004278293349666120.997860853325167
830.002557410682351450.00511482136470290.997442589317649
840.003192022493249490.006384044986498980.99680797750675
850.004613387546686450.00922677509337290.995386612453314
860.005745170335747830.01149034067149570.994254829664252
870.009072165972850970.01814433194570190.990927834027149
880.01036556937324220.02073113874648450.989634430626758
890.01326712182984980.02653424365969960.98673287817015
900.01532654305390380.03065308610780770.984673456946096
910.03725863220712880.07451726441425760.962741367792871
920.07381590267835110.1476318053567020.926184097321649
930.0863559755650230.1727119511300460.913644024434977
940.1083896488056480.2167792976112960.891610351194352
950.1249191150964810.2498382301929620.875080884903519
960.1441197346848980.2882394693697960.855880265315102
970.1537897849356100.3075795698712200.84621021506439
980.1620355567705910.3240711135411820.83796444322941
990.2893348163932360.5786696327864730.710665183606764
1000.3079722171827790.6159444343655570.692027782817221
1010.3055177905006430.6110355810012860.694482209499357
1020.3009540303233690.6019080606467390.69904596967663
1030.3845344300944870.7690688601889730.615465569905513
1040.4560182991688510.9120365983377020.543981700831149
1050.4488751721765230.8977503443530470.551124827823477
1060.4383660019399190.8767320038798380.561633998060081
1070.4239722524851580.8479445049703150.576027747514842
1080.4625751237223450.925150247444690.537424876277655
1090.4690582133617550.938116426723510.530941786638245
1100.4858622459050590.9717244918101190.514137754094941
1110.4749780613098630.9499561226197260.525021938690137
1120.5227112363361220.9545775273277550.477288763663878
1130.5034013200712440.9931973598575110.496598679928756
1140.4709989039274650.941997807854930.529001096072535
1150.4704255621443540.9408511242887070.529574437855646
1160.6128975204357350.774204959128530.387102479564265
1170.6134713983768470.7730572032463060.386528601623153
1180.5822645653969570.8354708692060860.417735434603043
1190.5285833163894660.9428333672210670.471416683610534
1200.4951447514640180.9902895029280350.504855248535982
1210.4348185045634080.8696370091268160.565181495436592
1220.3774326724410730.7548653448821460.622567327558927
1230.336056515813980.672113031627960.66394348418602
1240.3357308209797520.6714616419595040.664269179020248
1250.2446414857060650.4892829714121290.755358514293936
1260.3762261051219890.7524522102439780.623773894878011
1270.2856938573367260.5713877146734510.714306142663274


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level760.617886178861789NOK
5% type I error level850.691056910569106NOK
10% type I error level870.707317073170732NOK