Multiple Linear Regression - Estimated Regression Equation
Inschrijvingen[t] = + 26301.6797583303 + 110.787113940842Consumentenvertrouwen[t] -288.509324225093Totaal_Werkloosheid[t] + 102.551249237694`Algemene_index `[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)26301.67975833038283.0238853.17540.002050.001025
Consumentenvertrouwen110.78711394084294.6925561.170.2451030.122552
Totaal_Werkloosheid-288.509324225093969.329818-0.29760.7666650.383333
`Algemene_index `102.551249237694445.9957230.22990.8186620.409331


Multiple Linear Regression - Regression Statistics
Multiple R0.131676069312389
R-squared0.0173385872295612
Adjusted R-squared-0.0154167931961202
F-TEST (value)0.529335547450005
F-TEST (DF numerator)3
F-TEST (DF denominator)90
p-value0.663284278349626
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation5742.51434514383
Sum Squared Residuals2967882390.37644


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
13151423033.02984087968480.97015912037
22707122670.00794215774400.99205784235
32946222184.02936222227277.97063777776
42610522957.62471745933147.37528254067
52239723214.4761179897-817.476117989695
62384323165.2197535915677.78024640853
72170522620.6467598876-915.646759887609
81808922844.1354301181-4755.13543011809
92076423508.8581137631-2744.85811376314
102531622380.47672450722935.52327549281
111770423408.3261247461-5704.32612474607
121554823330.1140100535-7782.11401005351
132802923565.66742968474463.33257031526
142938323785.32721521765597.67278478237
153643823687.497399601012750.5026003990
163203423889.55874443038144.44125556966
172267923826.3231882826-1147.32318828257
182431924402.5786323113-83.5786323112936
191800423565.7722475566-5561.77224755657
201753723622.5815634782-6085.58156347817
212036623602.0713136306-3236.07131363062
222278223424.3245767162-642.324576716239
231916923427.0267501166-4258.02675011663
241380723478.1975568637-9671.19755686366
252974323420.49569201866322.50430798136
262559123754.77147619001836.22852381003
272909623945.68514717225150.31485282784
282648223669.11122784592812.88877215414
292240523002.474101852-597.474101852007
302704423101.19646639213942.8035336079
311797022919.7501892821-4949.75018928208
321873023001.6863708004-4271.68637080041
331968422568.7930399608-2884.79303996081
341978523219.4317139845-3434.43171398450
351847923147.7506573899-4668.75065738993
361069823592.8135555021-12894.8135555021
373195623947.49477164918008.50522835086
382950623816.19740786085689.80259213924
393450623440.901123994411065.0988760056
402716523611.3045451293553.69545487098
412673623467.94243193993268.05756806011
422369123966.8783101995-275.878310199477
431815723878.4110705832-5721.41107058315
441732823907.2620030057-6579.26200300566
451820523866.2415033106-5661.24150331058
462099524338.2408914965-3343.24089149646
471738224287.0700847494-6905.07008474943
48936723300.2411842056-13933.2411842056
493112424057.15517429287066.84482570722
502655124288.98452709822262.01547290177
513065124096.26123163916554.73876836094
522585924399.77164103911459.22835896093
532510024435.0488136878664.951186312244
542577824468.51636185951309.48363814054
552041824170.644461634-3752.64446163402
561868824086.7938377669-5398.79383776689
572042424214.3671347295-3790.36713472949
582477624396.9401231367379.059876863281
591981423693.2162000172-3879.21620001721
601273824099.1730407831-11361.1730407831
613156623889.7683801747676.23161982601
623011124290.08671176535820.9132882347
633001924458.6805084235560.31949157702
643193424110.42553250217823.57446749789
652582624077.95535112571748.04464887435
662683523802.50814309653032.49185690345
672020523244.9778510685-3039.97785106852
681778923357.5745894863-5568.57458948634
692052023704.8076719818-3184.80767198183
702251822909.5753556-391.575355599994
711557222278.110584383-6706.110584383
721150921807.9208206741-10298.9208206741
732544722100.28355622693346.71644377307
742409021529.56180350102560.43819649905
752778621396.24517949206389.75482050805
762619521704.37220464124490.62779535884
772051622049.5860269160-1533.58602691603
782275922059.7363339680699.263666032022
791902821907.0361714086-2879.03617140864
801697122606.3531145226-5635.3531145226
812003622623.0344796725-2587.03447967254
822248522590.4594804243-105.459480424252
831873022904.3298326199-4174.32983261986
841453822276.0110329207-7738.0110329207
852756122220.22361042455340.77638957553
862598522201.62780292573783.37219707427
873467022583.455144890112086.5448551099
883206623205.34770436318860.65229563687
892718622789.24055654534396.75944345471
902958623224.04832973376361.95167026631
912135923225.0702231591-1866.07022315907
922155323526.6661902103-1973.66619021029
931957323645.8988045979-4072.89880459792
942425623993.1318870934262.868112906587


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
70.4007797953427720.8015595906855440.599220204657228
80.4620941045137320.9241882090274640.537905895486268
90.3326797039512870.6653594079025750.667320296048713
100.2249721415107910.4499442830215820.775027858489209
110.1499512975678700.2999025951357390.85004870243213
120.1320601729719330.2641203459438660.867939827028067
130.2380885916782490.4761771833564980.761911408321751
140.2216579808869240.4433159617738480.778342019113076
150.3596772435349010.7193544870698010.6403227564651
160.5809735939938550.8380528120122890.419026406006145
170.4977420674880880.9954841349761760.502257932511912
180.4122351725319450.824470345063890.587764827468055
190.3430592410251560.6861184820503120.656940758974844
200.2849570378576590.5699140757153170.715042962142341
210.2246318179088530.4492636358177050.775368182091147
220.2422523262632020.4845046525264030.757747673736798
230.192476511472950.38495302294590.80752348852705
240.2560819548750810.5121639097501620.743918045124919
250.3454891982779960.6909783965559920.654510801722004
260.3314404610336040.6628809220672090.668559538966396
270.417521049792330.835042099584660.58247895020767
280.3830633677505170.7661267355010340.616936632249483
290.3191297469635320.6382594939270630.680870253036468
300.2984047298163460.5968094596326910.701595270183654
310.2606889708981210.5213779417962430.739311029101879
320.2203068562359340.4406137124718680.779693143764066
330.1806268395473510.3612536790947010.81937316045265
340.1509618207377770.3019236414755550.849038179262223
350.1341637811353560.2683275622707130.865836218864644
360.2944716698075630.5889433396151250.705528330192437
370.3827679024104110.7655358048208230.617232097589589
380.3853816542921760.7707633085843530.614618345707824
390.5137667935880840.9724664128238310.486233206411916
400.4668113200236280.9336226400472550.533188679976372
410.4213779582571250.8427559165142510.578622041742875
420.3726556981351090.7453113962702170.627344301864891
430.4164017176790690.8328034353581380.583598282320931
440.4721920817286040.9443841634572080.527807918271396
450.5052700874631810.9894598250736390.494729912536819
460.4790480783986880.9580961567973750.520951921601312
470.5150191890295860.9699616219408280.484980810970414
480.80044363517360.3991127296528000.199556364826400
490.8142857732435310.3714284535129370.185714226756469
500.775355212739170.4492895745216590.224644787260829
510.7833626707302490.4332746585395020.216637329269751
520.7373826686396760.5252346627206480.262617331360324
530.685866401704290.6282671965914210.314133598295710
540.6352689019317980.7294621961364040.364731098068202
550.6006663769476150.798667246104770.399333623052385
560.5930141164741330.8139717670517330.406985883525867
570.5550533544455550.889893291108890.444946645554445
580.4936553364980990.9873106729961980.506344663501901
590.4536726133980510.9073452267961020.546327386601949
600.642055881588350.71588823682330.35794411841165
610.6950740556480480.6098518887039050.304925944351952
620.6903656982934060.6192686034131880.309634301706594
630.6809579582933440.6380840834133120.319042041706656
640.7543219829187350.4913560341625310.245678017081265
650.747154896488790.505690207022420.25284510351121
660.7932616645913770.4134766708172460.206738335408623
670.7529745109160730.4940509781678540.247025489083927
680.758050750394550.4838984992109020.241949249605451
690.7059948039041990.5880103921916030.294005196095802
700.6481538916483450.703692216703310.351846108351655
710.6194301964825370.7611396070349250.380569803517463
720.8834677506887240.2330644986225530.116532249311276
730.859721395334320.2805572093313590.140278604665680
740.8723836931922070.2552326136155870.127616306807793
750.8359398769585420.3281202460829170.164060123041458
760.7898063578940320.4203872842119350.210193642105968
770.7840690952206650.431861809558670.215930904779335
780.719496834966410.561006330067180.28050316503359
790.6444401160852120.7111197678295770.355559883914788
800.5708975402371640.8582049195256720.429102459762836
810.4800464111131840.9600928222263680.519953588886816
820.4175343779980160.8350687559960320.582465622001984
830.3178955782369290.6357911564738590.682104421763071
840.8308790792495570.3382418415008870.169120920750444
850.7688993213580950.4622013572838110.231100678641905
860.9185192694670260.1629614610659480.081480730532974
870.9471477509810480.1057044980379040.0528522490189518


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