Multiple Linear Regression - Estimated Regression Equation
Huwelijken[t] = -1673.55606693331 + 0.263089189753331Bevolkingsgroei[t] -0.0106172913357292Geborenen[t] + 392.801077158716Temperatuur[t] -0.645368338285581Neerslag[t] + 5.72015160621913Werkloosheid[t] + 482.845499276914Inflatie[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-1673.556066933311991.140262-0.84050.403230.201615
Bevolkingsgroei0.2630891897533310.0621454.23356.3e-053.2e-05
Geborenen-0.01061729133572920.099615-0.10660.9153960.457698
Temperatuur392.80107715871630.04157413.075200
Neerslag-0.6453683382855810.452723-1.42550.1580470.079023
Werkloosheid5.720151606219133.0932411.84920.0682610.03413
Inflatie482.845499276914320.384521.50710.1358820.067941


Multiple Linear Regression - Regression Statistics
Multiple R0.871745448513117
R-squared0.759940127003336
Adjusted R-squared0.741234162873725
F-TEST (value)40.6255524568447
F-TEST (DF numerator)6
F-TEST (DF denominator)77
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation1443.89767217794
Sum Squared Residuals160532717.554508


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
131113042.1740474164368.8259525835727
239953197.31650187511797.683498124887
352455176.0341403041668.9658596958441
455886021.11770733631-433.117707336312
5106817397.515948884333283.48405111567
6105169444.91391154161071.08608845839
774969780.08863221237-2284.08863221237
8993510873.5678428499-938.567842849858
9102499090.348903127821158.65109687218
1062715489.16278967138781.837210328616
1136165331.68336506455-1715.68336506455
1237244288.79939345202-564.799393452021
1328862443.79672952217442.203270477826
1433183426.17465867062-108.174658670621
1541664004.21466678829161.785333211705
1664015861.99875886359539.001241136412
1792097230.719387434941978.28061256506
1898208546.944595702681273.05540429732
1974708142.92827493672-672.928274936722
2082079246.04028079745-1039.04028079745
2195649009.29880926337554.70119073663
2253096665.98977580613-1356.98977580613
2333854532.07617803183-1147.07617803183
2437064313.98059968196-607.980599681963
2527333823.2504609153-1090.2504609153
2630452594.02095807934450.979041920658
2734494351.55263307077-902.552633070767
2855425732.44878782836-190.448787828362
29100726721.033886179793350.96611382021
3094188506.94777470917911.052225290828
3175168415.36791111782-899.367911117818
3278408531.54191762652-691.541917626521
33100819563.50989219416517.490107805844
3449567241.21501557227-2285.21501557227
3536414066.3478234923-425.347823492304
3639703384.17312084045585.826879159546
3729312046.52818919096884.471810809035
3831702366.91196601555803.088033984453
3938892522.015913856121366.98408614388
4048504583.40869767775266.591302322254
4180376500.685865876041536.31413412396
42123708145.275614227894224.72438577211
43671210001.2019450426-3289.20194504257
4472977675.1198481444-378.119848144401
45106139544.98522738811068.01477261189
4651846389.44243972984-1205.44243972984
4735063940.66761137263-434.667611372631
4838104069.43530288549-259.435302885494
4926923487.28558649729-795.28558649729
5030734150.7937087924-1077.7937087924
5137134436.81276751036-723.812767510362
5245556639.97090021167-2084.97090021167
5378076642.616976854951164.38302314505
54108698161.857928789682707.14207121032
5596827340.367808820192341.63219117981
5677048435.8122414998-731.812241499797
5798268116.394871389271709.60512861073
5854565872.1347444735-416.134744473498
5936773700.31229844708-23.3122984470848
6034312329.373205294221101.62679470578
6127653892.43977249297-1127.43977249297
6234834278.15519251866-795.155192518663
6334453812.85673193696-367.856731936956
6460815529.22915607541551.770843924589
6587678344.92155946276422.07844053724
6694079066.16287249454340.83712750546
6765519236.76871475977-2685.76871475977
68124809582.122382855222897.87761714478
69953010084.2714364012-554.271436401155
7059606807.19944205875-847.199442058754
7132524518.95974315539-1266.95974315539
7237173177.03135910754539.968640892457
7326421757.80214787432884.197852125678
7429893740.47383536903-751.473835369028
7536075014.49745736459-1407.49745736459
7653667099.75716598692-1733.75716598692
7788987851.589589137111046.41041086289
7894358677.32631470726757.673685292735
7973289057.293111179-1729.29311117901
80859410047.7428396999-1453.74283969986
811134910471.6842089115877.315791088515
8257976608.48745884375-811.487458843747
8336215619.42851020535-1998.42851020535
8438513036.09125655246814.908743447538


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
100.1019136149512680.2038272299025360.898086385048732
110.08859075770512570.1771815154102510.911409242294874
120.07227961727345510.144559234546910.927720382726545
130.4760975650215490.9521951300430990.523902434978451
140.4386945845867280.8773891691734550.561305415413272
150.5645241430238770.8709517139522470.435475856976123
160.4983999928007260.9967999856014530.501600007199274
170.5358141675066130.9283716649867730.464185832493387
180.4685141468295190.9370282936590380.531485853170481
190.4359315744638680.8718631489277360.564068425536132
200.4359553436641940.8719106873283880.564044656335806
210.3577082015082790.7154164030165570.642291798491721
220.343687722580650.68737544516130.65631227741935
230.3435040485413650.687008097082730.656495951458635
240.276208841561940.5524176831238790.72379115843806
250.2468265778246410.4936531556492830.753173422175359
260.1916777184975540.3833554369951070.808322281502446
270.1570406937585960.3140813875171920.842959306241404
280.1166418164127970.2332836328255930.883358183587203
290.3278490129512220.6556980259024450.672150987048778
300.2756936938475090.5513873876950180.724306306152491
310.2612033164153610.5224066328307210.738796683584639
320.2164147449657060.4328294899314120.783585255034294
330.172144593457340.3442891869146790.82785540654266
340.2719669787306230.5439339574612450.728033021269377
350.2344607456927970.4689214913855940.765539254307203
360.1864484584991770.3728969169983540.813551541500823
370.1589039168138580.3178078336277150.841096083186142
380.1279052044303510.2558104088607020.872094795569649
390.128993636749650.25798727349930.87100636325035
400.1067259536898890.2134519073797780.89327404631011
410.1018041453912680.2036082907825370.898195854608732
420.4653694808293180.9307389616586350.534630519170682
430.7460041849912240.5079916300175530.253995815008776
440.7930052530549670.4139894938900670.206994746945033
450.8005172024893430.3989655950213150.199482797510657
460.7885859688489490.4228280623021030.211414031151051
470.7391816338194020.5216367323611960.260818366180598
480.689469467102370.6210610657952610.31053053289763
490.6317044562051180.7365910875897650.368295543794882
500.5881214694241690.8237570611516630.411878530575831
510.5253157413440990.9493685173118020.474684258655901
520.592072960815030.815854078369940.40792703918497
530.5573968057298080.8852063885403830.442603194270192
540.6768088996717850.646382200656430.323191100328215
550.8352340571020720.3295318857958570.164765942897928
560.8123054596575250.375389080684950.187694540342475
570.803575661591130.3928486768177390.19642433840887
580.7574897103683070.4850205792633860.242510289631693
590.6915192383358760.6169615233282490.308480761664124
600.6487749513378260.7024500973243480.351225048662174
610.5922348823605420.8155302352789160.407765117639458
620.5286236796986410.9427526406027170.471376320301359
630.4462644502491710.8925289004983410.553735549750829
640.3674032533896590.7348065067793190.63259674661034
650.2925444827258710.5850889654517420.707455517274129
660.2289019132789580.4578038265579160.771098086721042
670.3308495708702950.661699141740590.669150429129705
680.7188222025849170.5623555948301670.281177797415083
690.62963858918610.74072282162780.3703614108139
700.535673171988010.928653656023980.46432682801199
710.4534071571906840.9068143143813690.546592842809316
720.3288585203918830.6577170407837670.671141479608117
730.3212450900850250.642490180170050.678754909914975
740.2061077867123490.4122155734246970.793892213287651


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