Multiple Linear Regression - Estimated Regression Equation
geboortes[t] = + 3.63649072146089 -0.112892682481441huwelijk[t] + 0.263683500627482`geboortes-1`[t] + 0.288035361724047`geboortes-2`[t] + 1.16087808712201M1[t] + 0.804780496030499M2[t] + 1.15406440433495M3[t] + 1.09394205740714M4[t] + 1.62510788116370M5[t] + 1.52928339577008M6[t] + 0.984223018622452M7[t] + 0.980829801148078M8[t] + 0.147756081412070M9[t] + 0.717424338136779M10[t] + 1.00090518467358M11[t] + 0.00507968162684446t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)3.636490721460891.1599363.13510.0024220.001211
huwelijk-0.1128926824814410.086241-1.3090.1943660.097183
`geboortes-1`0.2636835006274820.1135012.32320.0227770.011388
`geboortes-2`0.2880353617240470.1033062.78820.0066560.003328
M11.160878087122010.1790156.484800
M20.8047804960304990.1734084.6411.4e-057e-06
M31.154064404334950.2733834.22146.5e-053.3e-05
M41.093942057407140.3088093.54250.0006730.000336
M51.625107881163700.324645.00593e-062e-06
M61.529283395770080.3316434.61121.5e-058e-06
M70.9842230186224520.3106833.16790.0021920.001096
M80.9808298011480780.1690875.800700
M90.1477560814120700.1411531.04680.2984350.149218
M100.7174243381367790.1672584.28935.1e-052.5e-05
M111.000905184673580.1539086.503300
t0.005079681626844460.0015193.34410.0012710.000635


Multiple Linear Regression - Regression Statistics
Multiple R0.884336823751576
R-squared0.782051617843026
Adjusted R-squared0.740138467428223
F-TEST (value)18.6588602885558
F-TEST (DF numerator)15
F-TEST (DF denominator)78
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.26290500426931
Sum Squared Residuals5.39128521904797


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
19.9399.79611806397140.142881936028592
29.3369.33982003834253-0.00382003834253139
310.1959.5849422436420.610057756358005
49.4649.54851189946857-0.0845118994685673
510.0110.0134389079649-0.00343890796494194
610.2139.91142886053640.301571139463593
79.5639.52703870141090.0359612985890964
89.899.791960486613660.0980395133863446
99.3058.995729762687220.309270237312777
109.3919.44064273868193-0.0496427386819326
119.9289.679112356035230.248887643964767
128.6868.7877907439339-0.101790743933897
139.8439.715902409039920.127097590960079
149.6279.286035288204290.340964711795710
1510.0749.743296995223280.330703004776725
169.5039.59522555374235-0.0922255537423493
1710.11910.2471628742205-0.128162874220497
181010.0136017402415-0.0136017402414687
199.3139.63344539823076-0.320445398230761
209.8669.733659639387880.132340360612120
219.1728.975977951431170.196022048568826
229.2419.45171367616553-0.210713676165533
239.6599.7008166047626-0.0418166047625992
248.9048.72388595269290.180114047307106
259.7559.80043665483291-0.0454366548329126
269.089.4068997113737-0.326899711373707
279.4359.63963846609964-0.204638466099642
288.9719.3682903601792-0.397290360179195
2910.0639.988639220613850.0743607793861539
309.7939.83328948036081-0.0402894803608154
319.4549.74008146850483-0.286081468504825
329.7599.752076975139910.00692302486008691
338.829.03522139707908-0.215221397079078
349.4039.42956195277316-0.0265619527731571
359.6769.6825545958479-0.0065545958478985
368.6428.82876134864618-0.186761348646178
379.4029.77327110965389-0.371271109653890
389.619.260813945676470.349186054323532
399.2949.69069102821114-0.396691028211140
409.4489.59067322959655-0.142673229596545
4110.31910.11805132692490.200948673075056
429.54810.1159625132757-0.567962513275689
439.8019.786126101606040.0148738983939647
449.5969.81894793898736-0.22294793898736
458.9239.1505489048201-0.227548904820103
469.7469.452890725066830.293109274933167
479.8299.83618893649984-0.00718893649984425
489.1259.000746954897790.124253045102215
499.78210.0326371814359-0.250637181435941
509.4419.495726071993-0.0547260719930037
519.1629.82771450914803-0.665714509148029
529.9159.569612815776750.345387184223253
5310.44410.13283284376660.311167156233379
5410.20910.4312061171296-0.222206117129616
559.98510.0358189929045-0.0508189929044853
569.84210.1107978762684-0.268797876268362
579.4299.319999639407860.109000360592138
5810.1329.71135389394170.420646106058297
599.84910.1462533378513-0.297253337851294
609.1729.21834824902134-0.0463482490213426
6110.31310.11513397319650.197866026803511
629.8199.710913208444250.108086791555751
639.95510.1435476826324-0.188547682632450
6410.0489.958256148721570.0897438512784332
6510.08210.4524165853727-0.370416585372677
6610.54110.42271227014340.118287729856578
6710.20810.04268181578950.165318184210520
6810.23310.3434557969425-0.110455796942469
699.4399.54727191919747-0.108271919197471
709.9639.885536666619550.0774633333804518
7110.15810.1737685252058-0.0157685252057693
729.2259.3255388833213-0.100538883321296
7310.47410.24576496369260.228235036307415
749.7579.84211939349422-0.0851193934942226
7510.4910.23656124663790.253438753362083
7610.28110.06136786263080.219632137369164
7710.44410.7517142609246-0.30771426092463
7810.6410.62376847236060.0162315276393998
7910.69510.13545615101150.559543848988459
8010.78610.56834068839470.217659311605283
819.8329.9023336761824-0.0703336761823944
829.74710.1819710950787-0.434971095078689
8310.41110.29130564379740.119694356202638
849.5119.37992786748660.131072132513392
8510.40210.4307356441769-0.0287356441768531
869.70110.0286723424715-0.327672342471528
8710.5410.27860782840560.261392171594448
8810.11210.05006212988420.0619378701158074
8910.91510.69174398021180.223256019788156
9011.18310.77503054595200.407969454048018
9110.38410.5023513705420-0.118351370541969
9210.83410.68676059826560.147239401734355
939.8869.87891674919470.0070832508053054
9410.21610.2853292516726-0.0693292516726039


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
190.2011826338594190.4023652677188380.798817366140581
200.1047739928353370.2095479856706740.895226007164663
210.07067286281174650.1413457256234930.929327137188253
220.03407869819969780.06815739639939560.965921301800302
230.03695076193291220.07390152386582450.963049238067088
240.04639207865869590.09278415731739180.953607921341304
250.02967776033687910.05935552067375820.97032223966312
260.04523780300110190.09047560600220370.954762196998898
270.2511339678924050.5022679357848110.748866032107595
280.2532022653636210.5064045307272430.746797734636379
290.2058274693673740.4116549387347490.794172530632626
300.1615545308744480.3231090617488960.838445469125552
310.1382949374914870.2765898749829740.861705062508513
320.1032647114077280.2065294228154560.896735288592272
330.07557841358631550.1511568271726310.924421586413684
340.0941304277345390.1882608554690780.905869572265461
350.06699254251524140.1339850850304830.933007457484759
360.04819686029581750.0963937205916350.951803139704183
370.03791807845558030.07583615691116060.96208192154442
380.1433210672057040.2866421344114070.856678932794297
390.1540414809197440.3080829618394880.845958519080256
400.1688885975675490.3377771951350970.831111402432451
410.2440969863016470.4881939726032950.755903013698353
420.2648102883117030.5296205766234070.735189711688297
430.3299392819863960.6598785639727910.670060718013604
440.3335935057472890.6671870114945780.666406494252711
450.3061111486547450.612222297309490.693888851345255
460.4343530356912750.868706071382550.565646964308725
470.4183656767164870.8367313534329740.581634323283513
480.5142013464888350.971597307022330.485798653511165
490.4604659292884160.9209318585768310.539534070711584
500.4078313113082580.8156626226165160.592168688691742
510.79173253061240.4165349387751990.208267469387600
520.8432703011892330.3134593976215340.156729698810767
530.8768632734799870.2462734530400270.123136726520013
540.852611893084460.2947762138310820.147388106915541
550.8295434583703460.3409130832593090.170456541629654
560.8865763264561970.2268473470876060.113423673543803
570.8603323459541340.2793353080917330.139667654045867
580.9339982302290010.1320035395419970.0660017697709987
590.909252198090310.1814956038193780.0907478019096891
600.8763314460887960.2473371078224080.123668553911204
610.8642368068302920.2715263863394160.135763193169708
620.8983913474830030.2032173050339930.101608652516997
630.8703202157295520.2593595685408960.129679784270448
640.8522413021042360.2955173957915290.147758697895764
650.8794656961025350.2410686077949300.120534303897465
660.8361076023744520.3277847952510960.163892397625548
670.799848130419030.4003037391619420.200151869580971
680.8387270874740070.3225458250519870.161272912525993
690.8481508472290680.3036983055418650.151849152770932
700.7738066747067280.4523866505865440.226193325293272
710.7124341347608990.5751317304782030.287565865239101
720.5977337762263770.8045324475472460.402266223773623
730.4874974494068020.9749948988136040.512502550593198
740.3562878027387690.7125756054775380.643712197261231
750.2772591919422710.5545183838845420.722740808057729


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