Multiple Linear Regression - Estimated Regression Equation
geboortes[t] = + 9198.18672888628 + 0.0132098392350800huwelijken[t] + 293.354221184417M1[t] -561.53253458797M2[t] + 341.103580197078M3[t] -121.286781733765M4[t] + 198.089975881453M5[t] + 3.56981211022072M6[t] + 575.092941052572M7[t] + 526.837239839928M8[t] + 181.833531630878M9[t] + 379.895626257336M10[t] -364.188821255045M11[t] + 9.27576263272296t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)9198.18672888628229.71239240.042200
huwelijken0.01320983923508000.0882260.14970.8813470.440674
M1293.354221184417166.2868911.76410.0814320.040716
M2-561.53253458797149.699174-3.75110.0003270.000164
M3341.103580197078149.33642.28410.0249490.012475
M4-121.286781733765169.829129-0.71420.477150.238575
M5198.089975881453251.1737290.78870.4325870.216293
M63.56981211022072306.5697030.01160.9907380.495369
M7575.092941052572311.9490561.84350.0688620.034431
M8526.837239839928343.6196571.53320.1290760.064538
M9181.833531630878315.0081320.57720.5653630.282681
M10379.895626257336161.8842532.34670.0213530.010676
M11-364.188821255045153.352033-2.37490.0198910.009945
t9.275762632722961.1201158.281100


Multiple Linear Regression - Regression Statistics
Multiple R0.842552367519586
R-squared0.70989449201286
Adjusted R-squared0.663902155380753
F-TEST (value)15.4350603599748
F-TEST (DF numerator)13
F-TEST (DF denominator)82
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation297.327119757428
Sum Squared Residuals7249080.12374632


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
197699521.6750488556247.324951144397
293218683.55403456223637.445965437768
399399599.6402211783339.35977882171
493369162.81335365702173.186646342977
5101959506.47225127601688.527748723985
694649325.23043142573138.769568574266
7100109920.7715035871689.2284964128419
8102139875.31874378205337.681256217952
995639546.0504095916716.9495904083248
1098909709.37308251957180.626917480431
1193058959.02962669946345.970373300543
1293919340.657891234550.342108765495
1399289632.0859313803295.914068619703
1486868793.71393014146-107.713930141458
1598439713.23467495863129.765325041366
1696279263.18475836305363.815241636947
17100749612.12759167608461.872408323924
1895039444.2805488101758.7194511898327
191011910008.9898561969110.010143803086
20100009986.4825871431413.5174128568618
2193139649.14304118013-336.143041180131
2298669819.7443355265546.2556644734463
2391729070.61618491607101.383815083931
2492419452.89173157364-211.891731573636
2596599738.87731795458-79.8773179545746
2689048906.27801646147-2.27801646146474
2797559819.44482860657-64.4448286065686
2890809372.11613889341-292.116138893414
2994359722.8555103424-287.855510342408
3089719551.12477474139-580.124774741386
311006310119.7309847025-56.7309847024809
32979310106.3649243994-313.364924399381
3394549746.83284852144-292.832848521439
3497599933.40483850307-174.404838503074
3588209183.57656641313-363.57656641313
3694039559.45855088092-156.458550880917
3796769852.59066028803-176.590660288035
3886429018.43259776519-376.432597765186
3994029933.55446611708-531.554466117081
4096109487.92984566525122.070154334748
4192949839.77884361-545.778843609993
4294489657.05752176538-209.057521765384
431031910232.995192501986.0048074980517
44954810215.7058099460-667.705809946029
4598019860.95569587119-59.9556958711863
46959610046.4708987140-450.470898714015
4789239295.18954430821-372.189544308212
4897469672.8548570727473.1451429272644
4998299967.10980281484-138.109802814835
5091259133.0309993274-8.03099932739602
51978210041.7064661326-259.706466132573
5294419606.88749417504-165.887494175039
5391629949.7802211184-787.780221118395
5499159768.194945448146.805054551997
551044410359.667387125084.3326128749778
561020910316.8565951669-107.856595166928
5799859974.7879267577610.2120732422376
58984210158.7179488924-316.717948892381
5994299407.595112557421.4048874426006
60101329784.95659901952347.043400980484
61984910078.2340166582-229.234016658219
6291729239.63744815238-67.637448152383
631031310152.6193225482160.380677451805
6498199718.1173867323100.882613267696
65995510060.8251759264-105.825175926369
66100489878.36805086646169.631949133538
671008210471.5445618048-389.544561804806
681054110429.6056192362111.394380763773
691020810090.4695351373117.530464862751
701023310268.0059950821-35.0059950820895
7194399519.02315270319-80.0231527031907
7299639896.5035277184266.4964722815768
731015810188.5788499867-30.5788499867338
7492259349.37462887608-124.374628876084
751047410267.8253767152206.17462328478
7697579827.96024616989-70.9602461698854
771049010171.8965504128318.103449587187
78102819999.16186702992281.838132970075
791044410580.185325872-136.185325871996
801064010543.543528836796.4564711633162
811069510213.3108763821481.68912361785
821078610378.4961366422407.50386335781
8398329629.39440571018202.605594289824
84974710011.0226702452-264.022670245223
851041110299.8483720617111.151627938296
8695119461.978344713849.0216552862027
871040210381.974643743420.0253562565623
8897019931.99077634403-230.990776344032
891054010281.2638556379258.736144362068
901011210118.5818599129-6.58185991293973
911091510702.1151882097212.884811790324
921118310653.1221914896529.877808510436
931038410321.449666558462.5503334415937
941083410491.7867641201342.213235879872
9598869741.57540669237144.424593307634
961021610120.654172255095.3458277449567


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
170.6741740372777550.651651925444490.325825962722245
180.6515909284878650.696818143024270.348409071512135
190.5209605179940430.9580789640119140.479039482005957
200.4240974598080120.8481949196160240.575902540191988
210.3568100782233910.7136201564467820.643189921776609
220.2766179679549030.5532359359098050.723382032045097
230.2207174395653140.4414348791306280.779282560434686
240.1512361618113810.3024723236227610.84876383818862
250.1059562983189770.2119125966379550.894043701681023
260.08333736872969120.1666747374593820.916662631270309
270.0580849650312230.1161699300624460.941915034968777
280.06763804049003220.1352760809800640.932361959509968
290.192322137976190.384644275952380.80767786202381
300.1985386310241580.3970772620483150.801461368975842
310.1654818809911780.3309637619823560.834518119008822
320.1234849523937540.2469699047875080.876515047606246
330.09927126223362130.1985425244672430.900728737766379
340.0817239316394570.1634478632789140.918276068360543
350.06178610457732050.1235722091546410.93821389542268
360.06679305570010450.1335861114002090.933206944299896
370.05878193203469870.1175638640693970.941218067965301
380.0397042929891840.0794085859783680.960295707010816
390.03300848906762880.06601697813525750.966991510932371
400.1301798088092470.2603596176184950.869820191190753
410.1342751967761000.2685503935522010.8657248032239
420.1547939185789060.3095878371578110.845206081421094
430.2116335853870760.4232671707741510.788366414612924
440.2529861579884530.5059723159769060.747013842011547
450.3133025977810220.6266051955620440.686697402218978
460.2961323717921490.5922647435842990.70386762820785
470.2651449659663040.5302899319326080.734855034033696
480.4055259338027980.8110518676055960.594474066197202
490.4002244843195470.8004489686390940.599775515680453
500.4722505664486160.9445011328972320.527749433551384
510.4416364759633430.8832729519266850.558363524036657
520.4064762791271130.8129525582542260.593523720872887
530.7452647119856550.5094705760286890.254735288014345
540.8239575824234090.3520848351531830.176042417576591
550.8776764129205070.2446471741589850.122323587079492
560.875687411584720.2486251768305610.124312588415281
570.8756393702217220.2487212595565560.124360629778278
580.911482676891420.1770346462171590.0885173231085796
590.9005375428401750.1989249143196490.0994624571598246
600.9708809364427030.0582381271145940.029119063557297
610.9606112894376560.07877742112468850.0393887105623443
620.9443101232440370.1113797535119260.0556898767559632
630.9430841089719440.1138317820561130.0569158910280565
640.9607502196796350.07849956064073010.0392497803203651
650.9564806926328670.08703861473426530.0435193073671327
660.9515367978869150.09692640422616950.0484632021130847
670.9514864407503470.09702711849930650.0485135592496532
680.9371721388084790.1256557223830430.0628278611915213
690.915898094021690.168203811956620.08410190597831
700.929872279168650.1402554416626980.070127720831349
710.919076917512760.1618461649744790.0809230824872393
720.8902777677294450.2194444645411100.109722232270555
730.8417896325869920.3164207348260150.158210367413008
740.7813897269341720.4372205461316560.218610273065828
750.7316887430553460.5366225138893080.268311256944654
760.6288382224386270.7423235551227450.371161777561373
770.5322880965815630.9354238068368750.467711903418437
780.572506247794690.8549875044106210.427493752205310
790.4121554755153290.8243109510306590.587844524484671


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 level80.126984126984127NOK