Multiple Linear Regression - Estimated Regression Equation
huwelijken[t] = -8.06040832663057 + 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)-8.060408326630572.919378-2.7610.006930.003465
geboortes1.188499909122920.2969864.00190.0001256.3e-05


Multiple Linear Regression - Regression Statistics
Multiple R0.381537512253697
R-squared0.14557087325674
Adjusted R-squared0.136481201695641
F-TEST (value)16.0149761493855
F-TEST (DF numerator)1
F-TEST (DF denominator)94
p-value0.00012532493577333
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
11.5793.55004728559125-1.97104728559125
22.1463.01759932630420-0.871599326304203
32.4623.75209227014217-1.29009227014217
43.6953.035426824941050.659573175058952
54.8314.056348246877640.774651753122361
65.1343.187554813308781.94644518669122
76.253.83647576368992.4135242363101
85.764.077741245241851.68225875475815
96.2493.305216304311952.94378369568805
102.9173.69385577459515-0.776855774595149
111.7412.99858332775824-1.25758332775824
122.3593.10079431994281-0.741794319942809
131.5113.73901877114182-2.22801877114182
142.0592.26290188401115-0.203901884011147
152.6353.63799627886637-1.00299627886637
162.8673.38128029849582-0.514280298495819
174.4033.912539757873770.490460242126234
185.723.233906309764582.48609369023542
194.5023.96602225378430.535977746215703
205.7493.824590764598671.92440923540133
215.6273.008091327031222.61890867296878
222.8463.6653317767762-0.819331776776197
231.7622.84051283984489-1.07851283984489
242.4292.92251933357437-0.49351933357437
251.1693.41931229558775-2.25031229558775
262.1542.52199486419994-0.367994864199944
272.2493.53340828686355-1.28440828686355
282.6872.73117084820558-0.0441708482055793
294.3593.153088315944221.20591168405578
305.3822.601624358111182.78037564188882
314.4593.899466258873410.559533741126585
326.3983.578571283410222.81942871658978
334.5963.175669814217551.42033018578245
343.0243.53816228650004-0.514162286500045
351.8872.42216087183362-0.535160871833619
362.073.11505631885228-1.04505631885228
371.3513.43951679404284-2.08851679404284
382.2182.210607888009740.00739211199026221
392.4613.11386781894316-0.65286781894316
403.0283.36107580004073-0.333075800040728
414.7842.985509828757881.79849017124211
424.9753.168538814762821.80646118523718
434.6074.203722235608880.403277764391117
446.2493.287388805675112.96161119432489
454.8093.588079282683211.22092071731679
463.1573.34443680131301-0.187436801313008
471.912.54457636247328-0.63457636247328
482.2283.52271178768145-1.29471178768145
491.5943.62135728013865-2.02735728013865
502.4672.78465334411611-0.317653344116111
512.2223.56549778440987-1.34349778440987
523.6073.160219315398960.446780684601045
534.6852.828627840753661.85637215924634
544.9623.723568272323221.23843172767678
555.774.352284724249251.41771527575075
565.484.072987245605361.40701275439464
5753.806763265961821.19323673403818
583.2283.63680777895725-0.408807778957248
591.9933.14595731648948-1.15295731648948
602.2883.98147275260289-1.69347275260289
611.583.64512727832111-2.06512727832111
622.1112.84051283984489-0.729512839844889
632.1924.19659123615414-2.00459123615415
643.6013.60947228104742-0.00847228104742098
654.6653.771108268688140.893891731311862
664.8763.881638760236570.99436123976343
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
741.9922.9035033350284-0.911503335028403
752.4874.38793972152293-1.90093972152294
763.493.5357852866818-0.0457852866817981
774.6474.40695572006890.240044279931098
785.5944.158559239062211.43544076093779
795.6114.352284724249251.25871527575075
805.7884.585230706437341.20276929356266
816.2044.65059820143911.55340179856090
823.0134.75875169316929-1.74575169316929
831.9313.62492277986602-1.69392277986602
842.5493.52390028759057-0.97490028759057
851.5044.31306422724819-2.80906422724819
862.093.24341430903756-1.15341430903756
872.7024.30236772806608-1.60036772806608
882.9393.46922929177092-0.530229291770915
894.54.466380715525050.0336192844749527
906.2083.957702754420442.25029724557956
916.4154.912068181446141.50293181855386
925.6575.230586157091090.426413842908912
935.9644.280974729701871.68302527029813
943.1634.81579968880719-1.65279968880719
951.9973.68910177495865-1.69210177495865
962.4224.08130674496922-1.65930674496922


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
50.5420045493542470.9159909012915060.457995450645753
60.6845746760839130.6308506478321740.315425323916087
70.8034982572409180.3930034855181640.196501742759082
80.7519272035206090.4961455929587820.248072796479391
90.8611519792627620.2776960414744750.138848020737238
100.8420256003506720.3159487992986550.157974399649328
110.8281320914679740.3437358170640510.171867908532026
120.7769357320854220.4461285358291570.223064267914578
130.8630957577082220.2738084845835550.136904242291778
140.8108314594335240.3783370811329520.189168540566476
150.7793056108896010.4413887782207980.220694389110399
160.7201779169565640.5596441660868720.279822083043436
170.6524483444253020.6951033111493960.347551655574698
180.7554839570616390.4890320858767220.244516042938361
190.6948875481848150.610224903630370.305112451815185
200.7070149376910820.5859701246178350.292985062308918
210.7988036365876150.402392726824770.201196363412385
220.77177345673740.4564530865251990.228226543262600
230.7491010843588920.5017978312822170.250898915641108
240.6982391833062470.6035216333875060.301760816693753
250.7726068692944740.4547862614110510.227393130705526
260.7202240358722850.559551928255430.279775964127715
270.7082185976791710.5835628046416570.291781402320829
280.6494329804502030.7011340390995930.350567019549797
290.6261729616780660.7476540766438680.373827038321934
300.7553972074863840.4892055850272320.244602792513616
310.708366051639290.583267896721420.29163394836071
320.8142507988774280.3714984022451430.185749201122572
330.8056589405556750.3886821188886490.194341059444325
340.769266044545860.4614679109082790.230733955454139
350.7277209906474140.5445580187051720.272279009352586
360.7034083410502050.593183317899590.296591658949795
370.7546537985404670.4906924029190670.245346201459533
380.7050801404651740.5898397190696530.294919859534826
390.661716456406860.6765670871862790.338283543593140
400.6085735072398280.7828529855203450.391426492760172
410.6357324796277680.7285350407444630.364267520372232
420.6644645741544610.6710708516910780.335535425845539
430.6114428254147840.7771143491704320.388557174585216
440.7736001071392450.4527997857215110.226399892860755
450.7628060563224860.4743878873550270.237193943677514
460.717831338226260.5643373235474790.282168661773740
470.6737900742243710.6524198515512570.326209925775629
480.6591340678691850.681731864261630.340865932130815
490.7005949068756540.5988101862486930.299405093124346
500.6503437845938920.6993124308122160.349656215406108
510.6351600996639970.7296798006720050.364839900336002
520.590488425121720.8190231497565590.409511574878279
530.6665110877447980.6669778245104050.333488912255203
540.6644038361949630.6711923276100750.335596163805037
550.6566148340306130.6867703319387750.343385165969387
560.6579429660235260.6841140679529470.342057033976474
570.6555350287338430.6889299425323150.344464971266157
580.6037955103633070.7924089792733850.396204489636693
590.5641299268005450.8717401463989110.435870073199455
600.575519788265540.848960423468920.42448021173446
610.6077246979620390.7845506040759210.392275302037961
620.5543218221262660.8913563557474670.445678177873734
630.599150666050510.801698667898980.40084933394949
640.5415623786797330.9168752426405340.458437621320267
650.5188928622814020.9622142754371960.481107137718598
660.5021033085496990.9957933829006020.497896691450301
670.5810245555616860.8379508888766280.418975444438314
680.5564212423979350.8871575152041290.443578757602065
690.5667674169920040.8664651660159920.433232583007996
700.5204744580427640.9590510839144730.479525541957236
710.4653757886774420.9307515773548840.534624211322558
720.4333777077528610.8667554155057220.566622292247139
730.5188186187933660.9623627624132670.481181381206634
740.4551062513323230.9102125026646460.544893748667677
750.4907664453379740.9815328906759480.509233554662026
760.4287775697544220.8575551395088450.571222430245578
770.3587474239057550.717494847811510.641252576094245
780.3762650973398090.7525301946796170.623734902660191
790.3704926844936630.7409853689873260.629507315506337
800.3523523975284430.7047047950568860.647647602471557
810.3806257110590250.7612514221180510.619374288940975
820.3898895286185190.7797790572370380.610110471381481
830.3417067646034570.6834135292069140.658293235396543
840.2657257134631150.5314514269262290.734274286536885
850.420360810018370.840721620036740.57963918998163
860.3321482209720120.6642964419440250.667851779027988
870.3279221750152470.6558443500304930.672077824984753
880.2322344269314470.4644688538628930.767765573068553
890.1495993735478750.2991987470957490.850400626452125
900.311661485705070.623322971410140.68833851429493
910.2769724144972890.5539448289945770.723027585502711


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