Multiple Linear Regression - Estimated Regression Equation
geboortes[t] = + 9.19818672888627 + 0.0132098392350795huwelijken[t] + 0.293354221184415M1[t] -0.56153253458797M2[t] + 0.341103580197079M3[t] -0.121286781733764M4[t] + 0.198089975881454M5[t] + 0.00356981211022246M6[t] + 0.575092941052574M7[t] + 0.52683723983993M8[t] + 0.18183353163088M9[t] + 0.379895626257337M10[t] -0.364188821255045M11[t] + 0.00927576263272296t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)9.198186728886270.22971240.042200
huwelijken0.01320983923507950.0882260.14970.8813470.440674
M10.2933542211844150.1662871.76410.0814320.040716
M2-0.561532534587970.149699-3.75110.0003270.000164
M30.3411035801970790.1493362.28410.0249490.012475
M4-0.1212867817337640.169829-0.71420.477150.238575
M50.1980899758814540.2511740.78870.4325870.216293
M60.003569812110222460.306570.01160.9907380.495369
M70.5750929410525740.3119491.84350.0688620.034431
M80.526837239839930.343621.53320.1290760.064538
M90.181833531630880.3150080.57720.5653630.282681
M100.3798956262573370.1618842.34670.0213530.010676
M11-0.3641888212550450.153352-2.37490.0198910.009945
t0.009275762632722960.001128.281100


Multiple Linear Regression - Regression Statistics
Multiple R0.842552367519587
R-squared0.709894492012861
Adjusted R-squared0.663902155380753
F-TEST (value)15.4350603599748
F-TEST (DF numerator)13
F-TEST (DF denominator)82
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.297327119757428
Sum Squared Residuals7.24908012374631


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
19.7699.521675048855620.247324951144384
29.3218.683554034562230.637445965437768
39.9399.59964022117830.33935977882171
49.3369.162813353657020.173186646342977
510.1959.506472251276010.688527748723986
69.4649.325230431425730.138769568574266
710.019.920771503587160.0892284964128417
810.2139.875318743782050.337681256217951
99.5639.546050409591680.0169495904083260
109.899.709373082519570.180626917480431
119.3058.959029626699460.345970373300543
129.3919.34065789123450.0503421087654952
139.9289.63208593138030.295914068619706
148.6868.79371393014146-0.107713930141456
159.8439.713234674958630.129765325041366
169.6279.263184758363050.363815241636948
1710.0749.612127591676080.461872408323924
189.5039.444280548810170.0587194511898332
1910.11910.00898985619690.110010143803086
20109.986482587143140.0135174128568620
219.3139.64914304118013-0.336143041180130
229.8669.819744335526550.0462556644734458
239.1729.070616184916070.101383815083931
249.2419.45289173157363-0.211891731573636
259.6599.73887731795457-0.079877317954572
268.9048.90627801646147-0.00227801646146475
279.7559.81944482860657-0.0644448286065678
289.089.37211613889341-0.292116138893414
299.4359.7228555103424-0.287855510342408
308.9719.55112477474139-0.580124774741386
3110.06310.1197309847025-0.0567309847024809
329.79310.1063649243994-0.313364924399381
339.4549.74683284852144-0.292832848521439
349.7599.93340483850307-0.174404838503073
358.829.18357656641313-0.36357656641313
369.4039.55945855088092-0.156458550880917
379.6769.85259066028803-0.176590660288033
388.6429.01843259776519-0.376432597765186
399.4029.93355446611708-0.531554466117082
409.619.487929845665250.122070154334747
419.2949.83977884361-0.545778843609992
429.4489.65705752176538-0.209057521765383
4310.31910.23299519250190.086004807498052
449.54810.2157058099460-0.667705809946029
459.8019.86095569587119-0.059955695871187
469.59610.0464708987140-0.450470898714015
478.9239.29518954430821-0.372189544308212
489.7469.672854857072740.0731451429272648
499.8299.96710980281483-0.138109802814832
509.1259.1330309993274-0.0080309993273959
519.78210.0417064661326-0.259706466132573
529.4419.60688749417504-0.165887494175038
539.1629.9497802211184-0.787780221118394
549.9159.7681949454480.146805054551996
5510.44410.35966738712500.0843326128749786
5610.20910.3168565951669-0.107856595166929
579.9859.974787926757760.0102120732422363
589.84210.1587179488924-0.316717948892381
599.4299.40759511255740.0214048874426007
6010.1329.784956599019520.347043400980484
619.84910.0782340166582-0.229234016658217
629.1729.23963744815238-0.0676374481523826
6310.31310.15261932254820.160380677451805
649.8199.71811738673230.100882613267697
659.95510.0608251759264-0.105825175926369
6610.0489.878368050866460.169631949133538
6710.08210.4715445618048-0.389544561804806
6810.54110.42960561923620.111394380763773
6910.20810.09046953513730.117530464862750
7010.23310.2680059950821-0.0350059950820889
719.4399.5190231527032-0.0800231527031908
729.9639.896503527718420.066496472281576
7310.15810.1885788499867-0.0305788499867327
749.2259.34937462887608-0.124374628876085
7510.47410.26782537671520.206174623284780
769.7579.82796024616989-0.0709602461698861
7710.4910.17189655041280.318103449587187
7810.2819.999161867029920.281838132970076
7910.44410.580185325872-0.136185325871995
8010.6410.54354352883670.0964564711633165
8110.69510.21331087638220.48168912361785
8210.78610.37849613664220.407503863357809
839.8329.629394405710180.202605594289825
849.74710.0110226702452-0.264022670245223
8510.41110.29984837206170.111151627938297
869.5119.46197834471380.0490216552862017
8710.40210.38197464374340.0200253562565613
889.7019.93199077634403-0.230990776344032
8910.5410.28126385563790.258736144362067
9010.11210.1185818599129-0.00658185991293939
9110.91510.70211518820970.212884811790324
9211.18310.65312219148960.529877808510436
9310.38410.32144966655840.0625503334415937
9410.83410.49178676412010.342213235879872
959.8869.741575406692370.144424593307632
9610.21610.12065417225500.0953458277449558


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
170.674174037277760.6516519254444810.325825962722241
180.6515909284878660.6968181430242680.348409071512134
190.5209605179940390.9580789640119210.479039482005961
200.4240974598080150.848194919616030.575902540191985
210.3568100782233990.7136201564467990.6431899217766
220.2766179679548980.5532359359097950.723382032045102
230.2207174395653160.4414348791306320.779282560434684
240.1512361618113820.3024723236227640.848763838188618
250.1059562983189730.2119125966379470.894043701681027
260.08333736872968850.1666747374593770.916662631270311
270.05808496503122140.1161699300624430.941915034968779
280.06763804049003220.1352760809800640.932361959509968
290.1923221379761910.3846442759523830.807677862023809
300.1985386310241610.3970772620483220.801461368975839
310.1654818809911790.3309637619823570.834518119008821
320.1234849523937550.2469699047875090.876515047606245
330.09927126223362550.1985425244672510.900728737766375
340.08172393163945610.1634478632789120.918276068360544
350.06178610457731840.1235722091546370.938213895422682
360.06679305570010410.1335861114002080.933206944299896
370.05878193203470.11756386406940.9412180679653
380.03970429298918680.07940858597837350.960295707010813
390.03300848906763000.06601697813526010.96699151093237
400.1301798088092430.2603596176184870.869820191190757
410.1342751967760960.2685503935521930.865724803223904
420.1547939185789090.3095878371578190.845206081421091
430.2116335853870600.4232671707741190.78836641461294
440.2529861579884460.5059723159768930.747013842011554
450.3133025977810310.6266051955620620.686697402218969
460.2961323717921560.5922647435843110.703867628207844
470.2651449659663060.5302899319326130.734855034033694
480.4055259338027970.8110518676055950.594474066197203
490.4002244843195620.8004489686391250.599775515680438
500.4722505664486150.944501132897230.527749433551385
510.4416364759633390.8832729519266770.558363524036661
520.4064762791271090.8129525582542190.59352372087289
530.7452647119856530.5094705760286940.254735288014347
540.8239575824234160.3520848351531690.176042417576584
550.8776764129205040.2446471741589920.122323587079496
560.8756874115847210.2486251768305580.124312588415279
570.8756393702217270.2487212595565450.124360629778273
580.911482676891420.1770346462171580.0885173231085792
590.9005375428401770.1989249143196460.099462457159823
600.9708809364427030.05823812711459350.0291190635572968
610.9606112894376560.07877742112468780.0393887105623439
620.9443101232440360.1113797535119290.0556898767559643
630.943084108971940.1138317820561190.0569158910280597
640.9607502196796360.07849956064072810.0392497803203640
650.9564806926328680.08703861473426450.0435193073671323
660.9515367978869150.096926404226170.048463202113085
670.9514864407503470.09702711849930540.0485135592496527
680.9371721388084790.1256557223830420.062827861191521
690.915898094021690.1682038119566180.0841019059783092
700.9298722791686510.1402554416626970.0701277208313486
710.9190769175127610.1618461649744770.0809230824872386
720.8902777677294470.2194444645411070.109722232270553
730.8417896325869940.3164207348260130.158210367413006
740.7813897269341780.4372205461316440.218610273065822
750.7316887430553450.5366225138893090.268311256944655
760.6288382224386270.7423235551227450.371161777561373
770.5322880965815640.9354238068368720.467711903418436
780.5725062477946920.8549875044106170.427493752205308
790.4121554755153250.824310951030650.587844524484675


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 level80.126984126984127NOK