Multiple Linear Regression - Estimated Regression Equation
Huwelijken[t] = + 6214.96128800579 -0.175516351406775Y1[t] -0.106575914618364Y2[t] + 0.0271398679986119Y3[t] + 0.073760150845012Y4[t] + 4031.97577374594M1[t] + 5971.83245211946M2[t] + 3751.46212297632M3[t] + 4520.05202572045M4[t] + 5476.46010737663M5[t] + 1224.78647547959M6[t] -1311.17591604365M7[t] -2074.6126564527M8[t] -3196.31196964168M9[t] -2550.02236330078M10[t] -1903.49497481489M11[t] -2.59492029511821t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)6214.961288005791103.2332085.633400
Y1-0.1755163514067750.125627-1.39710.1672790.083639
Y2-0.1065759146183640.125055-0.85220.3973120.198656
Y30.02713986799861190.1247620.21750.8284950.414248
Y40.0737601508450120.1262510.58420.5611480.280574
M14031.97577374594548.5196027.350700
M25971.83245211946932.5175646.40400
M33751.462122976321381.1539692.71620.0085140.004257
M44520.052025720451571.1232172.8770.0054740.002737
M55476.460107376631728.2337473.16880.0023620.001181
M61224.786475479591779.2789320.68840.4937520.246876
M7-1311.175916043651553.168165-0.84420.4017550.200878
M8-2074.61265645271387.083795-1.49570.1397340.069867
M9-3196.311969641681036.867145-3.08270.0030430.001521
M10-2550.02236330078566.083573-4.50472.9e-051.5e-05
M11-1903.49497481489503.278873-3.78220.0003480.000174
t-2.594920295118214.295635-0.60410.5479580.273979


Multiple Linear Regression - Regression Statistics
Multiple R0.965373182951927
R-squared0.931945382362735
Adjusted R-squared0.914661669946921
F-TEST (value)53.9204402354016
F-TEST (DF numerator)16
F-TEST (DF denominator)63
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation839.615049495978
Sum Squared Residuals44412066.1744284


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1106819042.457699555531638.54230044447
21051610148.3879495504367.612050449628
374967513.1009282227-17.1009282226929
499358990.26339728897944.73660271103
51024910209.033809750239.9661902497656
662715545.58164121692725.418358783078
736163515.20202060124100.797979398761
837243827.54818769646-103.548187696455
928862882.455534039033.54446596096899
1033183296.2484941871421.7515058128584
1141663760.76642027071405.233579729285
1264015452.01070059083948.989299409166
1392098948.64954961842260.350450381579
14982010209.7432170024-389.743217002425
1574707703.47852149972-233.478521499725
1682079057.88173240155-850.881732401546
17956410356.4937050489-792.49370504891
1853095766.79177729359-457.791777293586
1933853677.09875280315-292.098752803146
2037063793.43110095364-87.4311009536374
2127332802.46056475628-69.4605647562788
2230453216.65524425351-171.655244253511
2334493776.32234313078-327.322343130782
2455425570.33202317989-28.3320231798896
25100729125.99949567388946.00050432612
26941810079.0864663184-661.08646631844
2775167574.7228621415-58.7228621415015
2878409021.57419087894-1181.57419087894
291008110437.6114536451-356.611453645136
3049565655.62099402805-699.620994028046
3136413646.249868834-5.24986883400449
3239703741.94250570753228.05749429247
3329312726.25539488453204.744605115468
3431703103.5383946336666.461605366341
3538893728.18924833704160.810751662962
3648505473.490169379-623.490169379002
3780379187.42135824101-1150.42135824101
381237010500.03529158071869.96470841927
3967127256.01521321242-544.015213212417
4072978710.66653815323-1413.66653815323
411061310517.479807633195.5201923669351
4251845784.89748459958-600.897484599585
4335063444.3546009922461.6453990077638
4438103684.58550893946125.414491060541
4526922783.01500619491-91.0150061949061
4630733144.55333763025-71.5533376302484
4737133725.24693523201-12.2469352320115
4845555465.29181481629-910.291814816287
4978079206.5557560896-1399.5557560896
501086910528.7735522756340.226447724432
5196827491.850625886482190.14937411352
5277048290.2129646369-586.212964636895
53982610040.6733660923-214.673366092279
5454565818.40483390314-362.40483390314
5536773679.46392895795-2.4639289579463
5634313603.1058258103-172.1058258103
5727652749.5049838175115.4950161824862
5834833165.6975505341317.3024494659
5934453616.6931216697-171.693121669697
6060815411.521141652669.478858348005
6187678952.65294231028-185.65294231028
62940710189.4721428988-782.47214289885
6365517636.65132820756-1085.65132820756
64124809103.04186799033376.95813200971
6595309536.08867469944-6.08867469943836
6659605137.39979492176822.60020507824
6732523490.08809230019-238.088092300188
6837173937.09205015729-220.092050157292
6926422705.30851630774-63.3085163077388
7029893151.30697876134-162.306978761339
7136073661.78193135976-54.7819313597573
7253665422.35415038199-56.3541503819943
7388989007.26319851128-109.26319851128
74943510179.5013803736-744.501380373613
7573287579.18052082963-251.180520829627
7685948883.35930865013-289.35930865013
771134910114.61918313091234.38081686906
7857975224.30347403696572.69652596304
7936213245.54273551124375.457264488761
8038513621.29482073533229.705179264674


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
200.145476985584130.290953971168260.85452301441587
210.1047726516920180.2095453033840370.895227348307982
220.05024181304611350.1004836260922270.949758186953887
230.02088409207624210.04176818415248420.979115907923758
240.007920583529494270.01584116705898850.992079416470506
250.04322029015366410.08644058030732810.956779709846336
260.02156078656805160.04312157313610310.978439213431948
270.0136418893424960.02728377868499210.986358110657504
280.009486981902435360.01897396380487070.990513018097565
290.01215447552882660.02430895105765330.987845524471173
300.006894086137479850.01378817227495970.99310591386252
310.005649177338027180.01129835467605440.994350822661973
320.004886789175372250.009773578350744490.995113210824628
330.003488657450294020.006977314900588050.996511342549706
340.001698271957285820.003396543914571640.998301728042714
350.000886974219593030.001773948439186060.999113025780407
360.0008798941537492920.001759788307498580.99912010584625
370.001870507632078490.003741015264156990.998129492367921
380.1459593992040910.2919187984081820.854040600795909
390.1279634378292670.2559268756585340.872036562170733
400.136821949985030.2736438999700610.86317805001497
410.09605518978569380.1921103795713880.903944810214306
420.08705047377559660.1741009475511930.912949526224403
430.07572436736824330.1514487347364870.924275632631757
440.05086163966535110.1017232793307020.949138360334649
450.03296095950202190.06592191900404380.967039040497978
460.02034568056394220.04069136112788430.979654319436058
470.01220353187088480.02440706374176960.987796468129115
480.01076034542266390.02152069084532780.989239654577336
490.02431845168834570.04863690337669140.975681548311654
500.01542551213670620.03085102427341230.984574487863294
510.3031940220572790.6063880441145590.69680597794272
520.2892296292903470.5784592585806930.710770370709653
530.3019755462126690.6039510924253390.69802445378733
540.2771110016374140.5542220032748270.722888998362586
550.2358163259967750.4716326519935510.764183674003225
560.3074843002525130.6149686005050270.692515699747487
570.267347518032550.5346950360651010.73265248196745
580.211743844939840.423487689879680.78825615506016
590.1485569172514950.297113834502990.851443082748505
600.09514392225351810.1902878445070360.904856077746482


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level60.146341463414634NOK
5% type I error level190.463414634146341NOK
10% type I error level210.51219512195122NOK