Multiple Linear Regression - Estimated Regression Equation
Inschrijvingen[t] = + 26741.6979848119 + 107.4534255309Consumentenvertrouwen[t] -324.908031393456Totaal_Werkloosheid[t] + 96.7043019426652`Algemene_index `[t] -3.42800599544188t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)26741.69798481198862.9008843.01730.0033260.001663
Consumentenvertrouwen107.453425530997.9421981.09710.2755530.137776
Totaal_Werkloosheid-324.9080313934561006.381801-0.32280.7475680.373784
`Algemene_index `96.7043019426652450.2464620.21480.830430.415215
t-3.4280059954418823.614732-0.14520.884910.442455


Multiple Linear Regression - Regression Statistics
Multiple R0.132556392237079
R-squared0.0175711971229105
Adjusted R-squared-0.0265829063771836
F-TEST (value)0.397951622387104
F-TEST (DF numerator)4
F-TEST (DF denominator)89
p-value0.809629151055746
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation5774.00203014016
Sum Squared Residuals2967179850.52158


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
13151423190.49765080398323.5023491961
22707122838.09889679554232.90110320447
32946222372.05579961857089.94420038145
42610523124.2812848962980.71871510405
52239723384.880388409-987.880388409016
62384323332.0215380483510.978461951727
72170522769.1272032904-1064.12720329044
81808922977.1265358003-4888.12653580026
92076423618.4190829902-2854.41908299022
102531622521.11596129722794.88403870276
111770423513.7800756627-5809.7800756627
121554823426.029603-7878.02960300003
132802923637.8190339854391.18096601501
142938323852.77739160795530.22260839211
153643823777.555689858812660.4443101412
163203424003.96412500148030.0358749986
172267923950.7946887221-1271.79468872206
182431924498.0943390505-179.094339050527
191800423619.6518171749-5615.65181717491
201753723649.335786156-6112.33578615601
212036623626.566919772-3260.56691977203
222278223475.3039022375-693.303902237466
231916923497.8651958251-4328.86519582505
241380723540.3885216384-9733.38852163837
252974323471.97890936426271.02109063577
262559123787.43166740491803.56833259506
272909623972.30004105115123.69995894892
282648223714.97287729822767.02712270182
292240523070.3038306739-665.30383067388
302704423170.53915173423873.4608482658
311797022959.0163841519-4989.01638415187
321873023030.551000548-4300.55100054798
331968422606.9797226232-2922.9797226232
341978523245.560864732-3460.56086473199
351847923176.8406665393-4697.84066653926
361069823599.7468501109-12901.7468501109
373195623932.13964937758023.86035062246
382950623801.91735746275704.08264253734
393450623440.92686665411065.073133346
402716523606.45437991163558.5456200884
412673623472.44198952163263.55801047841
422369123967.288804485-276.288804484982
431815723869.8679016281-5712.86790162805
441732823898.930698772-6570.93069877195
451820523856.8209719994-5651.82097199945
462099524315.6974712669-3320.69747126695
471738224266.3181334628-6884.31813346275
48936723305.4797278835-13938.4797278835
493112424031.40532765937092.59467234075
502655124252.55460291992298.44539708012
513065124066.7105490026584.28945099802
522585924353.15201645991505.8479835401
532510024398.8442689112701.155731088841
542577824450.41685308151327.58314691845
552041824144.2800168005-3726.28001680053
561868824069.3689009701-5381.36890097008
572042424202.0950251697-3778.09502516974
582477624373.8134560651402.186543934932
591981423685.9044827132-3871.90448271319
601273824066.6494329512-11328.6494329512
613156623854.50549353177711.49450646833
623011124248.08980060195862.91019939811
633001924419.49764557865599.50235442139
643193424096.87828962847837.12171037158
652582624072.72014393191753.27985606812
662683523782.44465548293052.55534451714
672020523183.8905909477-2978.89059094773
681778923282.0356787641-5493.03567876407
692052023633.1481665821-3113.14816658207
702251822887.6741336214-369.674133621375
711557222289.7245262812-6717.7245262812
721150921818.1116833037-10309.1116833037
732544722063.01308926523383.98691073481
742409021493.6172509512596.38274904896
752778621364.47365243016421.52634756986
762619521673.42490691454521.57509308547
772051622025.6160881265-1509.61608812651
782275922029.4576931628729.542306837247
791902821848.0249095572-2820.02490955719
801697122511.3697222169-5540.36972221686
812003622534.241601723-2498.24160172304
822248522507.6826368639-22.6826368639232
831873022806.1953536787-4076.19535367868
841453822174.2187282484-7636.21872824842
852756122102.32960341775458.67039658226
862598522076.08122447723908.91877552278
873467022449.245977764912220.7540222351
883206623057.7371358979008.26286410305
892718622662.86656263644523.13343736362
902958623076.10231601376509.89768398627
912135923037.3251661596-1678.32516615958
922155323327.246146174-1774.24614617404
931957323446.8223276229-3873.82232762289
942425623797.9348154409458.065184559101


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
80.05551679725756830.1110335945151370.944483202742432
90.03437042603177170.06874085206354340.965629573968228
100.08212569281395730.1642513856279150.917874307186043
110.03803477123095340.07606954246190680.961965228769047
120.01925463601273870.03850927202547750.980745363987261
130.1460993970812570.2921987941625140.853900602918743
140.1833192618762570.3666385237525140.816680738123743
150.442194965743010.884389931486020.55780503425699
160.6484004092653180.7031991814693650.351599590734682
170.5632621814192920.8734756371614160.436737818580708
180.4768414929919330.9536829859838660.523158507008067
190.4004538020765050.800907604153010.599546197923495
200.3347294720254950.669458944050990.665270527974505
210.2651119674903190.5302239349806370.734888032509681
220.2716113548824690.5432227097649370.728388645117531
230.2227937509582370.4455875019164750.777206249041763
240.3025280832683570.6050561665367150.697471916731643
250.3800027385394440.7600054770788870.619997261460556
260.3559007749381060.7118015498762120.644099225061894
270.4610851359613130.9221702719226270.538914864038687
280.417703935534480.835407871068960.58229606446552
290.3612922482305550.7225844964611090.638707751769445
300.3335459717762590.6670919435525170.666454028223741
310.2908458544490150.581691708898030.709154145550985
320.2427281771652180.4854563543304360.757271822834782
330.1941717117580940.3883434235161890.805828288241906
340.1691304901699770.3382609803399540.830869509830023
350.1517850762219390.3035701524438790.84821492377806
360.3109433536256020.6218867072512040.689056646374398
370.395728060296770.791456120593540.60427193970323
380.384855844402510.7697116888050210.61514415559749
390.4668362254730120.9336724509460240.533163774526988
400.4363282335338680.8726564670677360.563671766466132
410.4118113389647440.8236226779294880.588188661035256
420.4110937604626970.8221875209253950.588906239537303
430.4878793135961590.9757586271923180.512120686403841
440.5317553083237970.9364893833524060.468244691676203
450.5347693735931590.9304612528136810.465230626406841
460.4910594243073890.9821188486147770.508940575692611
470.4951986785853790.9903973571707570.504801321414621
480.7141319961812270.5717360076375460.285868003818773
490.7581670991200490.4836658017599020.241832900879951
500.720925444765510.558149110468980.27907455523449
510.7575422744070590.4849154511858810.242457725592941
520.7181034045993580.5637931908012840.281896595400642
530.672017425046670.6559651499066590.32798257495333
540.6297669856789720.7404660286420560.370233014321028
550.5768897062805170.8462205874389650.423110293719483
560.5396988590957580.9206022818084840.460301140904242
570.4874288849278530.9748577698557060.512571115072147
580.4285734984875850.857146996975170.571426501512415
590.3788479489994150.7576958979988290.621152051000585
600.5590653441878820.8818693116242360.440934655812118
610.6247467668195490.7505064663609020.375253233180451
620.6248700922087220.7502598155825560.375129907791278
630.6256838190298360.7486323619403270.374316180970164
640.7387242866366560.5225514267266880.261275713363344
650.7412959335480220.5174081329039560.258704066451978
660.8089784027466930.3820431945066140.191021597253307
670.7580516906832820.4838966186334360.241948309316718
680.7104084970154040.5791830059691930.289591502984596
690.6578443013405080.6843113973189850.342155698659492
700.6604897991562410.6790204016875190.339510200843759
710.5963705997271260.8072588005457480.403629400272874
720.8618842311944010.2762315376111970.138115768805599
730.845743781568240.308512436863520.15425621843176
740.8314174170763370.3371651658473260.168582582923663
750.8001110128186970.3997779743626060.199888987181303
760.7411228173242840.5177543653514330.258877182675716
770.7275842795962470.5448314408075060.272415720403753
780.6584230827619630.6831538344760740.341576917238037
790.5689559817697310.8620880364605370.431044018230269
800.5268151026342920.9463697947314160.473184897365708
810.4246875275041170.8493750550082340.575312472495883
820.4213559651862670.8427119303725330.578644034813733
830.3282962059167240.6565924118334470.671703794083276
840.9455636079088180.1088727841823640.0544363920911822
850.9141754898535060.1716490202929880.085824510146494
860.854709718592950.2905805628140980.145290281407049


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level10.0126582278481013OK
10% type I error level30.0379746835443038OK