Multiple Linear Regression - Estimated Regression Equation
geboortes[t] = + 9408.25091717042 + 0.137954676030060huwelijken[t] + 298.227157357762M1[t] -632.241511011687M2[t] + 245.786550111648M3[t] -308.745601500791M4[t] -150.993507661974M5[t] -429.437894990933M6[t] + 142.379368334903M7[t] + 52.8309915392171M8[t] -237.832881744924M9[t] + 271.340701244311M10[t] -320.011421321119M11[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)9408.25091717042307.5101430.594900
huwelijken0.1379546760300600.1170871.17820.2420760.121038
M1298.227157357762223.9724361.33150.1866580.093329
M2-632.241511011687201.303379-3.14070.0023350.001168
M3245.786550111648200.5446631.22560.2238170.111909
M4-308.745601500791226.703764-1.36190.1769180.088459
M5-150.993507661974333.510398-0.45270.6519170.325959
M6-429.437894990933406.871973-1.05550.2942770.147138
M7142.379368334903414.2314680.34370.7319270.365963
M852.8309915392171456.3589910.11580.9081170.454059
M9-237.832881744924418.761669-0.56790.5716070.285803
M10271.340701244311217.3278221.24850.2153470.107673
M11-320.011421321119206.426701-1.55020.1248880.062444


Multiple Linear Regression - Regression Statistics
Multiple R0.683579024069009
R-squared0.467280282147138
Adjusted R-squared0.390260563903351
F-TEST (value)6.06702144336695
F-TEST (DF numerator)12
F-TEST (DF denominator)83
p-value1.65786151251623e-07
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation400.473517651365
Sum Squared Residuals13311460.1822249


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
197699924.30850797964-155.308507979641
293219072.06014091924248.939859080759
399399993.68187966807-54.6818796680751
493369609.2478436007-273.247843600699
5101959923.71644940967271.283550590334
694649687.07232891781-223.072328917815
71001010412.8470106932-402.847010693198
81021310255.7008426428-42.7008426427828
9956310032.4968059373-469.496805937342
10989010082.0054083944-192.005408394415
1193059328.41858681763-23.4185868176341
1293919733.68599792533-342.685997925331
1399289914.927590009613.0724099903980
1486869060.05808410462-374.058084104626
15984310017.5480386213-174.548038621275
1696279495.02137184781131.97862815219
17100749864.6718480688209.3281519312
1895039767.91376907143-264.913769071431
191011910171.7022369927-52.7022369926526
201000010254.1833412065-254.183341206452
2193139946.68899744664-633.688997446645
22986610072.2106263963-206.210626396281
2391729331.31563501427-159.315635014265
2492419743.34282524744-502.342825247435
2596599867.74709080732-208.747090807321
2689049073.16377832748-169.163778327481
2797559964.29753367367-209.297533673672
2890809470.1895301624-390.189530162399
2994359858.60184232348-423.601842323478
3089719721.28508857327-750.28508857327
311006310165.7701859234-102.77018592336
32979310343.7159259500-550.715925949962
3394549804.45772645965-350.457726459652
34975910096.7665587296-337.766558729632
3588209348.55996951802-528.559969518023
3694039693.81709655264-290.817096552643
3796769892.85484184479-216.854841844792
3886429081.9928775934-439.992877593405
3994029993.54392499205-591.543924992045
4096109517.2320746886592.7679253113503
4192949917.23257963625-623.232579636253
4294489665.13753542904-217.137535429036
431031910186.1874779758132.812522024191
44954810323.1606792215-775.160679221482
4598019833.84207245406-32.8420724540548
46959610115.1145306416-519.11453064163
4789239351.73292706671-428.732927066714
4897469715.613935365430.3860646346077
4998299926.3778281201-97.3778281200964
5091259116.343591924898.65640807510977
5197829960.57275742086-178.57275742086
5294419597.10783211005-156.107832110055
5391629903.57506670928-741.575066709277
5499159663.34412464065251.655875359355
551044410346.628766198897.3712338012305
561020910217.0735333544-8.07353335436606
5799859860.1914155758124.808584424204
58984210124.9093126398-282.909312639764
5994299363.1831651772165.8168348227908
60101329723.8912159272408.108784072804
6198499924.44646265568-75.4464626556756
6291729067.23172725819104.768272741811
63103139956.43411713996356.565882860042
6498199596.28010405387222.719895946126
6599559900.8159731886854.184026811324
66100489651.48002250206396.51997749794
671008210352.5608172681-270.560817268062
681054110232.1105930416308.889406958357
69102089905.85441334175302.145586658254
701023310103.8022472072129.197752792835
7194399364.4247572614874.5752427385202
7299639726.37440009574236.625599904263
73101589914.37577130548243.624228694519
7492259050.81512081061174.184879189389
75104749997.13074656883476.869253431174
7697579580.96713501454176.032864985462
77104909898.33278902013591.667210979865
78102819750.53147989164530.468520108357
791044410324.69397271119.306027290010
801064010259.5635735716380.436426428375
811069510026.288845516668.711154484011
821078610095.2490572933690.750942706699
8398329354.62997526335477.370024736655
8497479759.89738637104-12.8973863710419
85104119913.9619072774497.038092722609
8695119064.33467906156446.665320938443
871040210026.7910019153375.208998084711
8897019504.95410852197196.045891478026
89105409878.05345164372661.946548356284
90101129835.2356509741276.764349025900
911091510435.6095322382479.390467761841
921118310241.4915110117941.508488988313
93103849993.17972326877390.820276731225
941083410115.9422586978718.05774130219
9598869363.73498388133522.26501611867
96102169742.37714251522473.622857484776


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
160.2637129231669740.5274258463339490.736287076833026
170.156013954135730.312027908271460.84398604586427
180.08075980013270590.1615196002654120.919240199867294
190.036644589855220.073289179710440.96335541014478
200.01990349363836170.03980698727672350.980096506361638
210.01507996505546250.03015993011092510.984920034944538
220.006488899308646360.01297779861729270.993511100691354
230.002926067827328690.005852135654657370.997073932172671
240.001528795732053870.003057591464107740.998471204267946
250.000862793754344290.001725587508688580.999137206245656
260.0003650517892124310.0007301035784248610.999634948210788
270.0001687943489283040.0003375886978566080.999831205651072
280.0002771271687803390.0005542543375606780.99972287283122
290.002415770847672700.004831541695345390.997584229152327
300.006098100407384270.01219620081476850.993901899592616
310.003305568200757340.006611136401514690.996694431799243
320.004017117443530770.008034234887061540.99598288255647
330.002599546674861350.005199093349722700.997400453325139
340.001671150122078550.003342300244157110.998328849877921
350.002492369364176310.004984738728352610.997507630635824
360.001659644017589130.003319288035178250.99834035598241
370.001008846295119240.002017692590238490.998991153704881
380.001206775788475530.002413551576951060.998793224211524
390.002820614954697500.005641229909395000.997179385045303
400.002067694697898120.004135389395796230.997932305302102
410.007372199137782770.01474439827556550.992627800862217
420.006298033741825740.01259606748365150.993701966258174
430.004506033445429290.009012066890858580.99549396655457
440.02358388175553530.04716776351107060.976416118244465
450.02141417383262220.04282834766524430.978585826167378
460.03526926474770200.07053852949540410.964730735252298
470.04644684747301420.09289369494602830.953553152526986
480.04788406875559430.09576813751118850.952115931244406
490.03836858055896930.07673716111793860.96163141944103
500.03415522533852920.06831045067705850.96584477466147
510.03503739908874730.07007479817749460.964962600911253
520.02974549879791470.05949099759582940.970254501202085
530.2595448476794930.5190896953589860.740455152320507
540.2869124916816590.5738249833633190.713087508318341
550.2710389095023910.5420778190047810.728961090497609
560.3236268093874920.6472536187749830.676373190612508
570.3336877429897140.6673754859794280.666312257010286
580.5568655634918430.8862688730163130.443134436508157
590.5727712324905690.8544575350188620.427228767509431
600.6376788674984120.7246422650031760.362321132501588
610.664429746975720.671140506048560.33557025302428
620.6280140048304680.7439719903390640.371985995169532
630.6215635913346240.7568728173307520.378436408665376
640.5877626459653040.8244747080693930.412237354034696
650.7048801864515650.5902396270968690.295119813548435
660.6975194450197190.6049611099605620.302480554980281
670.7742056840476180.4515886319047650.225794315952382
680.803187748515250.3936245029695010.196812251484751
690.7927110538327090.4145778923345820.207288946167291
700.9014266626209470.1971466747581050.0985733373790526
710.933235393715910.1335292125681810.0667646062840903
720.9011845948875020.1976308102249960.0988154051124982
730.8818746759045750.2362506481908500.118125324095425
740.8560475012750430.2879049974499140.143952498724957
750.815619565450790.3687608690984190.184380434549210
760.7318192386217470.5363615227565060.268180761378253
770.6709510727646730.6580978544706530.329048927235327
780.6665125491804550.666974901639090.333487450819545
790.5947426776205380.8105146447589240.405257322379462
800.6982910154173870.6034179691652250.301708984582613


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level180.276923076923077NOK
5% type I error level260.4NOK
10% type I error level340.523076923076923NOK