Multiple Linear Regression - Estimated Regression Equation
geboortes[t] = + 3636.49072146087 -0.112892682481442huwelijken[t] + 0.263683500627484`geboortes-1`[t] + 0.288035361724047`geboortes-2`[t] + 1160.87808712201M1[t] + 804.780496030499M2[t] + 1154.06440433495M3[t] + 1093.94205740715M4[t] + 1625.10788116370M5[t] + 1529.28339577008M6[t] + 984.223018622453M7[t] + 980.829801148078M8[t] + 147.756081412069M9[t] + 717.424338136781M10[t] + 1000.90518467358M11[t] + 5.07968162684443t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)3636.490721460871159.9356493.13510.0024220.001211
huwelijken-0.1128926824814420.086241-1.3090.1943660.097183
`geboortes-1`0.2636835006274840.1135012.32320.0227770.011388
`geboortes-2`0.2880353617240470.1033062.78820.0066560.003328
M11160.87808712201179.0148036.484800
M2804.780496030499173.4080914.6411.4e-057e-06
M31154.06440433495273.3831484.22146.5e-053.3e-05
M41093.94205740715308.8092873.54250.0006730.000336
M51625.10788116370324.6399345.00593e-062e-06
M61529.28339577008331.6429734.61121.5e-058e-06
M7984.223018622453310.6834423.16790.0021920.001096
M8980.829801148078169.0870855.800700
M9147.756081412069141.1533511.04680.2984350.149218
M10717.424338136781167.2579714.28935.1e-052.5e-05
M111000.90518467358153.9081616.503300
t5.079681626844431.5190143.34410.0012710.000635


Multiple Linear Regression - Regression Statistics
Multiple R0.884336823751576
R-squared0.782051617843026
Adjusted R-squared0.740138467428223
F-TEST (value)18.6588602885557
F-TEST (DF numerator)15
F-TEST (DF denominator)78
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation262.90500426931
Sum Squared Residuals5391285.21904798


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
199399796.11806397139142.881936028613
293369339.82003834253-3.82003834253265
3101959584.942243642610.057756358005
494649548.51189946857-84.5118994685719
51001010013.4389079649-3.43890796494174
6102139911.4288605364301.571139463592
795639527.038701410935.9612985890944
898909791.9604866136698.039513386343
993058995.72976268722309.270237312777
1093919440.64273868194-49.6427386819357
1199289679.11235603523248.887643964766
1286868787.7907439339-101.790743933897
1398439715.90240903993127.097590960076
1496279286.03528820429340.96471179571
15100749743.29699522328330.703004776724
1695039595.22555374235-92.2255537423501
171011910247.1628742205-128.162874220498
181000010013.6017402415-13.6017402414695
1993139633.44539823076-320.445398230761
2098669733.65963938788132.340360612121
2191728975.97795143118196.022048568825
2292419451.71367616553-210.713676165533
2396599700.8166047626-41.8166047625995
2489048723.8859526929180.114047307106
2597559800.43665483292-45.4366548329166
2690809406.8997113737-326.899711373707
2794359639.63846609964-204.638466099642
2889719368.2903601792-397.290360179194
29100639988.6392206138574.3607793861546
3097939833.28948036081-40.289480360814
3194549740.08146850483-286.081468504825
3297599752.076975139916.92302486008712
3388209035.22139707908-215.221397079078
3494039429.56195277316-26.5619527731566
3596769682.5545958479-6.5545958478981
3686428828.76134864618-186.761348646177
3794029773.2711096539-371.271109653892
3896109260.81394567647349.186054323534
3992949690.69102821114-396.691028211141
4094489590.67322959654-142.673229596544
411031910118.0513269249200.948673075056
42954810115.9625132757-567.962513275689
4398019786.1261016060314.8738983939659
4495969818.94793898736-222.947938987360
4589239150.5489048201-227.548904820103
4697469452.89072506683293.109274933167
4798299836.18893649984-7.18893649984472
4891259000.74695489778124.253045102215
49978210032.6371814359-250.637181435944
5094419495.726071993-54.7260719930035
5191629827.71450914803-665.71450914803
5299159569.61281577675345.387184223256
531044410132.8328437666311.167156233379
541020910431.2061171296-222.206117129616
55998510035.8189929045-50.8189929044843
56984210110.7978762684-268.797876268362
5794299319.99963940786109.000360592138
58101329711.3538939417420.646106058298
59984910146.2533378513-297.253337851295
6091729218.34824902134-46.3482490213431
611031310115.1339731965197.866026803507
6298199710.91320844425108.086791555751
63995510143.5476826325-188.547682632449
64100489958.2561487215789.7438512784339
651008210452.4165853727-370.416585372677
661054110422.7122701434118.287729856579
671020810042.6818157895165.318184210520
681023310343.4557969425-110.455796942469
6994399547.27191919747-108.271919197470
7099639885.5366666195577.4633333804533
711015810173.7685252058-15.7685252057688
7292259325.5388833213-100.538883321297
731047410245.7649636926228.235036307412
7497579842.11939349422-85.1193934942222
751049010236.5612466379253.438753362084
761028110061.3678626308219.632137369163
771044410751.7142609246-307.71426092463
781064010623.768472360616.2315276394003
791069510135.4561510115559.54384898846
801078610568.3406883947217.659311605283
8198329902.3336761824-70.3336761823956
82974710181.9710950787-434.971095078689
831041110291.3056437974119.694356202640
8495119379.9278674866131.072132513392
851040210430.7356441769-28.7356441768552
86970110028.6723424715-327.672342471529
871054010278.6078284056261.392171594449
881011210050.062129884261.9378701158079
891091510691.7439802118223.256019788158
901118310775.0305459520407.969454048017
911038410502.3513705420-118.351370541969
921083410686.7605982656147.239401734356
9398869878.91674919477.08325080530593
941021610285.3292516726-69.3292516726035


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
190.2011826338594190.4023652677188370.798817366140581
200.1047739928353360.2095479856706720.895226007164664
210.07067286281174780.1413457256234960.929327137188252
220.03407869819969740.06815739639939480.965921301800303
230.0369507619329120.0739015238658240.963049238067088
240.04639207865869590.09278415731739180.953607921341304
250.02967776033687900.05935552067375800.970322239663121
260.04523780300110350.0904756060022070.954762196998896
270.2511339678924080.5022679357848150.748866032107592
280.2532022653636200.5064045307272390.74679773463638
290.2058274693673730.4116549387347460.794172530632627
300.1615545308744490.3231090617488980.83844546912555
310.1382949374914880.2765898749829760.861705062508512
320.1032647114077280.2065294228154550.896735288592272
330.07557841358631590.1511568271726320.924421586413684
340.09413042773454070.1882608554690810.905869572265459
350.06699254251524180.1339850850304840.933007457484758
360.04819686029581690.09639372059163370.951803139704183
370.03791807845557970.07583615691115940.96208192154442
380.1433210672057050.2866421344114090.856678932794296
390.1540414809197440.3080829618394870.845958519080256
400.1688885975675510.3377771951351010.83111140243245
410.244096986301660.488193972603320.75590301369834
420.2648102883117030.5296205766234060.735189711688297
430.3299392819863940.6598785639727880.670060718013606
440.3335935057472790.6671870114945580.666406494252721
450.3061111486547390.6122222973094790.693888851345261
460.4343530356912730.8687060713825460.565646964308727
470.418365676716480.836731353432960.58163432328352
480.5142013464888360.9715973070223270.485798653511164
490.4604659292884170.9209318585768340.539534070711583
500.4078313113082520.8156626226165040.592168688691748
510.7917325306124010.4165349387751970.208267469387599
520.8432703011892280.3134593976215430.156729698810772
530.8768632734799890.2462734530400220.123136726520011
540.852611893084460.2947762138310810.147388106915541
550.8295434583703460.3409130832593070.170456541629653
560.8865763264561980.2268473470876040.113423673543802
570.8603323459541290.2793353080917420.139667654045871
580.9339982302290.1320035395419990.0660017697709995
590.9092521980903090.1814956038193820.090747801909691
600.8763314460887980.2473371078224040.123668553911202
610.8642368068302970.2715263863394050.135763193169703
620.8983913474830020.2032173050339960.101608652516998
630.8703202157295540.2593595685408930.129679784270446
640.8522413021042370.2955173957915250.147758697895763
650.8794656961025350.241068607794930.120534303897465
660.8361076023744540.3277847952510920.163892397625546
670.7998481304190270.4003037391619470.200151869580973
680.8387270874740070.3225458250519850.161272912525993
690.8481508472290670.3036983055418650.151849152770933
700.7738066747067250.4523866505865490.226193325293275
710.71243413476090.5751317304782010.287565865239101
720.5977337762263740.8045324475472510.402266223773626
730.48749744940680.97499489881360.512502550593199
740.3562878027387620.7125756054775250.643712197261238
750.2772591919422670.5545183838845340.722740808057733


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 level70.122807017543860NOK