Multiple Linear Regression - Estimated Regression Equation
huwelijk[t] = -8.06040832663055 + 1.18849990912292geboortes[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-8.060408326630552.919378-2.7610.006930.003465
geboortes1.188499909122920.2969864.00190.0001256.3e-05


Multiple Linear Regression - Regression Statistics
Multiple R0.381537512253696
R-squared0.145570873256739
Adjusted R-squared0.136481201695641
F-TEST (value)16.0149761493854
F-TEST (DF numerator)1
F-TEST (DF denominator)94
p-value0.000125324935773441
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation1.48456585486723
Sum Squared Residuals207.169963079142


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
11.5793.5500472855913-1.9710472855913
22.1463.0175993263042-0.871599326304203
32.4623.75209227014217-1.29009227014217
43.6953.035426824941050.659573175058951
54.8314.056348246877640.774651753122362
65.1343.187554813308781.94644518669122
76.253.83647576368992.4135242363101
85.764.077741245241851.68225875475815
96.2493.305216304311952.94378369568805
102.9173.69385577459515-0.776855774595148
111.7412.99858332775824-1.25758332775824
122.3593.10079431994281-0.741794319942809
131.5113.73901877114182-2.22801877114182
142.0592.26290188401115-0.203901884011149
152.6353.63799627886637-1.00299627886637
162.8673.38128029849582-0.514280298495819
174.4033.912539757873760.490460242126235
185.723.233906309764582.48609369023542
194.5023.96602225378430.535977746215704
205.7493.824590764598671.92440923540133
215.6273.008091327031222.61890867296878
222.8463.6653317767762-0.819331776776196
231.7622.84051283984489-1.07851283984489
242.4292.92251933357437-0.493519333574371
251.1693.41931229558775-2.25031229558775
262.1542.52199486419995-0.367994864199946
272.2493.53340828686355-1.28440828686355
282.6872.73117084820558-0.0441708482055808
294.3593.153088315944221.20591168405578
305.3822.601624358111182.78037564188882
314.4593.899466258873410.559533741126587
326.3983.578571283410222.81942871658978
334.5963.175669814217551.42033018578245
343.0243.53816228650004-0.514162286500045
351.8872.42216087183362-0.535160871833621
362.073.11505631885229-1.04505631885229
371.3513.43951679404284-2.08851679404284
382.2182.210607888009740.0073921119902597
392.4613.11386781894316-0.65286781894316
403.0283.36107580004073-0.333075800040728
414.7842.985509828757891.79849017124211
424.9753.168538814762821.80646118523718
434.6074.203722235608880.403277764391119
446.2493.287388805675112.96161119432489
454.8093.588079282683211.22092071731679
463.1573.34443680131301-0.187436801313008
471.912.54457636247328-0.634576362473282
482.2283.52271178768145-1.29471178768145
491.5943.62135728013865-2.02735728013865
502.4672.78465334411611-0.317653344116112
512.2223.56549778440987-1.34349778440987
523.6073.160219315398960.446780684601044
534.6852.828627840753661.85637215924634
544.9623.723568272323221.23843172767678
555.774.352284724249251.41771527575075
565.484.072987245605361.40701275439464
5753.806763265961821.19323673403818
583.2283.63680777895725-0.408807778957247
591.9933.14595731648948-1.15295731648948
602.2883.98147275260289-1.69347275260289
611.583.64512727832111-2.06512727832111
622.1112.84051283984489-0.72951283984489
632.1924.19659123615414-2.00459123615414
643.6013.60947228104742-0.0084722810474205
654.6653.771108268688140.893891731311863
664.8763.881638760236570.994361239763432
675.8133.922047757146751.89095224285325
685.5894.467569215434171.12143078456583
695.3314.071798745696241.25920125430376
703.0754.10151124342431-1.02651124342431
712.0023.15784231558071-1.15584231558071
722.3063.78061626796112-1.47461626796112
731.5074.01237375024009-2.50537375024009
741.9922.9035033350284-0.911503335028404
752.4874.38793972152293-1.90093972152293
763.493.5357852866818-0.0457852866817977
774.6474.40695572006890.2400442799311
785.5944.158559239062211.43544076093779
795.6114.352284724249251.25871527575075
805.7884.585230706437341.20276929356266
816.2044.65059820143911.5534017985609
823.0134.75875169316928-1.74575169316928
831.9313.62492277986602-1.69392277986602
842.5493.52390028759057-0.974900287590569
851.5044.31306422724819-2.80906422724819
862.093.24341430903756-1.15341430903756
872.7024.30236772806608-1.60036772806608
882.9393.46922929177092-0.530229291770915
894.54.466380715525040.0336192844749552
906.2083.957702754420442.25029724557956
916.4154.912068181446141.50293181855386
925.6575.230586157091080.426413842908916
935.9644.280974729701871.68302527029813
943.1634.81579968880718-1.65279968880718
951.9973.68910177495865-1.69210177495865
962.4224.08130674496922-1.65930674496922


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
50.5420045493542450.9159909012915090.457995450645755
60.6845746760839120.6308506478321750.315425323916088
70.8034982572409180.3930034855181640.196501742759082
80.7519272035206110.4961455929587780.248072796479389
90.8611519792627620.2776960414744770.138848020737238
100.8420256003506740.3159487992986510.157974399649326
110.8281320914679730.3437358170640540.171867908532027
120.7769357320854220.4461285358291560.223064267914578
130.8630957577082230.2738084845835540.136904242291777
140.8108314594335240.3783370811329520.189168540566476
150.7793056108896010.4413887782207970.220694389110399
160.7201779169565630.5596441660868740.279822083043437
170.6524483444253020.6951033111493960.347551655574698
180.7554839570616390.4890320858767220.244516042938361
190.6948875481848130.6102249036303730.305112451815187
200.7070149376910850.585970124617830.292985062308915
210.7988036365876150.402392726824770.201196363412385
220.77177345673740.45645308652520.2282265432626
230.7491010843588920.5017978312822170.250898915641108
240.6982391833062520.6035216333874970.301760816693748
250.7726068692944720.4547862614110560.227393130705528
260.7202240358722860.5595519282554290.279775964127714
270.7082185976791710.5835628046416580.291781402320829
280.6494329804502050.701134039099590.350567019549795
290.6261729616780650.747654076643870.373827038321935
300.7553972074863840.4892055850272320.244602792513616
310.7083660516392890.5832678967214230.291633948360711
320.814250798877430.3714984022451410.185749201122571
330.8056589405556760.3886821188886470.194341059444324
340.769266044545860.4614679109082790.23073395545414
350.7277209906474110.5445580187051770.272279009352589
360.7034083410502070.5931833178995870.296591658949793
370.7546537985404670.4906924029190660.245346201459533
380.7050801404651730.5898397190696540.294919859534827
390.661716456406860.6765670871862810.33828354359314
400.6085735072398290.7828529855203410.391426492760171
410.635732479627770.7285350407444610.364267520372231
420.6644645741544640.6710708516910710.335535425845536
430.6114428254147860.7771143491704290.388557174585214
440.7736001071392460.4527997857215090.226399892860754
450.7628060563224870.4743878873550250.237193943677513
460.717831338226260.564337323547480.28216866177374
470.673790074224370.652419851551260.32620992577563
480.6591340678691880.6817318642616240.340865932130812
490.7005949068756550.5988101862486910.299405093124345
500.6503437845938920.6993124308122150.349656215406108
510.6351600996639930.7296798006720130.364839900336007
520.5904884251217210.8190231497565580.409511574878279
530.6665110877447940.6669778245104120.333488912255206
540.6644038361949650.671192327610070.335596163805035
550.6566148340306140.6867703319387720.343385165969386
560.6579429660235280.6841140679529450.342057033976472
570.655535028733840.688929942532320.34446497126616
580.6037955103633070.7924089792733850.396204489636693
590.5641299268005430.8717401463989130.435870073199457
600.5755197882655390.8489604234689230.424480211734461
610.607724697962040.784550604075920.39227530203796
620.5543218221262680.8913563557474650.445678177873732
630.5991506660505080.8016986678989830.400849333949492
640.5415623786797350.916875242640530.458437621320265
650.5188928622814050.962214275437190.481107137718595
660.5021033085496990.9957933829006010.497896691450301
670.5810245555616870.8379508888766260.418975444438313
680.5564212423979370.8871575152041260.443578757602063
690.5667674169920030.8664651660159950.433232583007997
700.5204744580427640.9590510839144730.479525541957236
710.4653757886774380.9307515773548770.534624211322562
720.4333777077528630.8667554155057250.566622292247137
730.5188186187933650.962362762413270.481181381206635
740.455106251332320.910212502664640.54489374866768
750.4907664453379760.9815328906759530.509233554662024
760.4287775697544220.8575551395088430.571222430245578
770.3587474239057550.717494847811510.641252576094245
780.3762650973398060.7525301946796110.623734902660194
790.3704926844936620.7409853689873230.629507315506338
800.3523523975284430.7047047950568870.647647602471557
810.3806257110590270.7612514221180530.619374288940973
820.389889528618520.7797790572370390.61011047138148
830.3417067646034570.6834135292069130.658293235396543
840.2657257134631120.5314514269262250.734274286536888
850.4203608100183690.8407216200367380.579639189981631
860.3321482209720140.6642964419440280.667851779027986
870.3279221750152470.6558443500304930.672077824984753
880.2322344269314470.4644688538628930.767765573068553
890.1495993735478740.2991987470957480.850400626452126
900.3116614857050670.6233229714101350.688338514294933
910.2769724144972880.5539448289945760.723027585502712


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