Multiple Linear Regression - Estimated Regression Equation
geboortes [t] = + 9330.58695652173 + 107.620600414070M1[t] -635.532091097307M2[t] -287.827639751553M3[t] + 8.74534161490713M4[t] -879.764492753622M5[t] + 75.7256728778468M6[t] -309.617494824016M7[t] -141.293995859213M8[t] -196.97049689441M9[t] + 367.186335403727M10[t] + 234.50983436853M11[t] + 11.0098343685301t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)9330.58695652173136.43239768.389800
M1107.620600414070162.9848390.66030.51150.25575
M2-635.532091097307162.916845-3.9010.0002380.000119
M3-287.827639751553162.863941-1.76730.0821010.04105
M48.74534161490713169.4070110.05160.9589950.479497
M5-879.764492753622169.297972-5.19652e-061e-06
M675.7256728778468169.2034140.44750.6560430.328022
M7-309.617494824016169.123363-1.83070.0719490.035975
M8-141.293995859213169.057838-0.83580.4064920.203246
M9-196.97049689441169.006856-1.16550.2482980.124149
M10367.186335403727168.9704322.17310.0336040.016802
M11234.50983436853168.9485731.38810.1700880.085044
t11.00983436853011.5691227.016600


Multiple Linear Regression - Regression Statistics
Multiple R0.846483642463992
R-squared0.716534556959108
Adjusted R-squared0.66167027766087
F-TEST (value)13.0601288511254
F-TEST (DF numerator)12
F-TEST (DF denominator)62
p-value8.07798272717264e-13
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation292.614891203775
Sum Squared Residuals5308655.42236022


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
197009449.2173913044250.782608695602
290818717.07453416149363.925465838513
390849075.788819875788.21118012422518
497439383.37163561076359.628364389236
585878505.8716356107681.1283643892363
697319472.37163561077258.628364389234
795639098.03830227743464.961697722569
899989277.37163561076720.628364389236
994379232.7049689441204.295031055902
10100389807.87163561076230.128364389236
1199189686.2049689441231.795031055902
1292529462.7049689441-210.704968944098
1397379581.3354037267155.664596273302
1490358849.19254658385185.80745341615
1591339207.90683229813-74.906832298135
1694879515.48964803312-28.4896480331252
1787008637.9896480331262.0103519668749
1896279604.4896480331222.5103519668751
1989479230.1563146998-283.156314699792
2092839409.48964803312-126.489648033125
2188299364.82298136646-535.822981366459
2299479939.989648033127.01035196687472
2396289818.32298136646-190.322981366459
2493189594.82298136646-276.822981366458
2596059713.45341614906-108.453416149059
2686408981.31055900621-341.310559006211
2792149340.0248447205-126.024844720496
2895679647.60766045549-80.6076604554861
2985478770.10766045549-223.107660455486
3091859736.60766045549-551.607660455486
3194709362.27432712215107.725672877847
3291239541.60766045549-418.607660455486
3392789496.94099378882-218.940993788820
341017010072.107660455597.8923395445138
3594349950.44099378882-516.44099378882
3696559726.94099378882-71.9409937888195
3794299845.57142857142-416.57142857142
3887399113.42857142857-374.428571428572
3995529472.1428571428679.857142857143
4096879779.72567287785-92.725672877847
4190198902.22567287785116.774327122153
4296729868.72567287785-196.725672877847
4392069494.39233954451-288.392339544514
4490699673.72567287785-604.725672877847
4597889629.05900621118158.940993788820
461031210204.2256728778107.774327122153
471010510082.559006211222.4409937888195
4898639859.059006211183.94099378881948
4996569977.68944099378-321.689440993781
5092959245.5465838509349.4534161490671
5199469604.26086956522341.739130434782
5297019911.8436853002-210.843685300208
5390499034.343685300214.6563146997918
541019010000.8436853002189.156314699792
5597069626.5103519668879.489648033125
5697659805.8436853002-40.843685300208
5798939761.17701863354131.822981366458
58999410336.3436853002-342.343685300208
591043310214.6770186335218.322981366459
60100739991.1770186335481.8229813664584
611011210109.80745341612.192546583858
6292669377.6645962733-111.664596273294
6398209736.3788819875883.621118012421
641009710043.961697722653.0383022774308
6591159166.46169772257-51.4616977225691
661041110132.9616977226278.038302277431
6796789758.62836438924-80.628364389236
68104089937.96169772257470.038302277431
69101539893.2950310559259.704968944098
701036810468.4616977226-100.461697722569
711058110346.7950310559234.204968944098
721059710123.2950310559473.704968944098
731068010241.9254658385438.074534161497
7497389509.78260869566228.217391304345
7595569868.49689440994-312.49689440994


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
160.08579503247803010.1715900649560600.91420496752197
170.05249914236284800.1049982847256960.947500857637152
180.02310439656674760.04620879313349520.976895603433252
190.2314952102197720.4629904204395440.768504789780228
200.4557925362952230.9115850725904470.544207463704777
210.5046248547684870.9907502904630260.495375145231513
220.4376776662035570.8753553324071130.562322333796443
230.3403518716684380.6807037433368760.659648128331562
240.3108558602280030.6217117204560050.689144139771997
250.2672363368810960.5344726737621920.732763663118904
260.2068498832567920.4136997665135840.793150116743208
270.239916252646910.479832505293820.76008374735309
280.2056314547101590.4112629094203170.794368545289841
290.1532689585733150.306537917146630.846731041426685
300.1730084614320780.3460169228641550.826991538567923
310.2680029981810820.5360059963621650.731997001818918
320.2614164209755390.5228328419510770.738583579024461
330.2684589160334270.5369178320668550.731541083966573
340.3429951291659330.6859902583318660.657004870834067
350.3587736747274710.7175473494549420.641226325272529
360.4319057185873520.8638114371747040.568094281412648
370.3803629450068040.7607258900136090.619637054993196
380.3291008768387070.6582017536774130.670899123161293
390.4505050033159060.9010100066318130.549494996684094
400.4031901999959830.8063803999919660.596809800004017
410.4850941277350230.9701882554700470.514905872264977
420.4543171020715910.9086342041431820.545682897928409
430.3807562718644540.7615125437289080.619243728135546
440.6061268541454760.7877462917090480.393873145854524
450.6749967690605780.6500064618788450.325003230939422
460.7522907682633550.495418463473290.247709231736645
470.7288119200816730.5423761598366540.271188079918327
480.7041387281107250.591722543778550.295861271889275
490.747126825580550.50574634883890.25287317441945
500.6994219913515210.6011560172969580.300578008648479
510.9162245616856150.1675508766287700.0837754383143848
520.8726870594305420.2546258811389160.127312940569458
530.83758669320.3248266136000010.162413306800001
540.7913207126358070.4173585747283860.208679287364193
550.7894838579562980.4210322840874040.210516142043702
560.7759253356027740.4481493287944520.224074664397226
570.6730586411975140.6538827176049730.326941358802486
580.5394523088143480.9210953823713040.460547691185652
590.4161104422446240.8322208844892490.583889557755376


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level00OK
5% type I error level10.0227272727272727OK
10% type I error level10.0227272727272727OK