Multiple Linear Regression - Estimated Regression Equation
geboortes[t] = + 9551.32375478927 + 483.352490421457x[t] + 87.0966064586669M1[t] -645.046250684181M2[t] -286.331964969896M3[t] -79.3333333333335M4[t] -956.833333333333M5[t] + 9.66666666666693M6[t] -364.666666666667M7[t] -185.333333333333M8[t] -230.000000000000M9[t] + 345.166666666667M10[t] + 223.5M11[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)9551.32375478927122.52293777.955400
x483.35249042145766.870187.228200
M187.0966064586669160.7043630.5420.5897830.294892
M2-645.046250684181160.704363-4.01390.0001648.2e-05
M3-286.331964969896160.704363-1.78170.0796910.039845
M4-79.3333333333335166.69712-0.47590.6358090.317905
M5-956.833333333333166.69712-5.7400
M69.66666666666693166.697120.0580.9539440.476972
M7-364.666666666667166.69712-2.18760.0324780.016239
M8-185.333333333333166.69712-1.11180.2705180.135259
M9-230.000000000000166.69712-1.37970.172620.08631
M10345.166666666667166.697122.07060.0425640.021282
M11223.5166.697121.34080.1848920.092446


Multiple Linear Regression - Regression Statistics
Multiple R0.850890991214296
R-squared0.724015478929647
Adjusted R-squared0.670599120012804
F-TEST (value)13.5541900198922
F-TEST (DF numerator)12
F-TEST (DF denominator)62
p-value3.70481423317415e-13
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation288.727881972289
Sum Squared Residuals5168554.96934865


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
197009638.42036124861.5796387520008
290818906.27750410509174.722495894910
390849264.99178981938-180.991789819375
497439471.99042145594271.009578544061
585878594.49042145594-7.49042145593657
697319560.99042145594170.009578544062
795639186.6570881226376.342911877396
899989365.99042145594632.009578544063
994379321.32375478927115.676245210729
10100389896.49042145594141.509578544061
1199189774.82375478927143.176245210729
1292529551.32375478927-299.323754789271
1397379638.4203612479498.5796387520617
1490358906.27750410509128.722495894910
1591339264.99178981938-131.991789819375
1694879471.9904214559415.009578544062
1787008594.49042145594105.509578544062
1896279560.9904214559466.0095785440616
1989479186.6570881226-239.657088122605
2092839365.99042145594-82.990421455938
2188299321.32375478927-492.323754789272
2299479896.4904214559450.5095785440622
2396289774.82375478927-146.823754789271
2493189551.32375478927-233.323754789271
2596059638.42036124794-33.4203612479382
2686408906.27750410509-266.277504105090
2792149264.99178981938-50.9917898193754
2895679471.9904214559495.009578544062
2985478594.49042145594-47.4904214559385
3091859560.99042145594-375.990421455938
3194709186.6570881226283.342911877395
3291239365.99042145594-242.990421455938
3392789321.32375478927-43.3237547892714
34101709896.49042145594273.509578544062
3594349774.82375478927-340.823754789271
3696559551.32375478927103.676245210729
3794299638.42036124794-209.420361247938
3887398906.27750410509-167.277504105090
3995529264.99178981938287.008210180625
4096879955.3429118774-268.342911877395
4190199077.8429118774-58.8429118773955
42967210044.3429118774-372.342911877396
4392069670.00957854406-464.009578544062
4490699849.3429118774-780.342911877395
4597889804.67624521073-16.6762452107288
461031210379.8429118774-67.842911877395
471010510258.1762452107-153.176245210729
48986310034.6762452107-171.676245210729
49965610121.7728516694-465.772851669395
5092959389.62999452655-94.629994526547
5199469748.34428024083197.655719759167
5297019955.3429118774-254.342911877395
5390499077.8429118774-28.8429118773955
541019010044.3429118774145.657088122604
5597069670.0095785440635.9904214559381
5697659849.3429118774-84.3429118773951
5798939804.6762452107388.3237547892712
58999410379.8429118774-385.842911877395
591043310258.1762452107174.823754789271
601007310034.676245210738.3237547892715
611011210121.7728516694-9.77285166939552
6292669389.62999452655-123.629994526547
6398209748.3442802408371.6557197591672
64100979955.3429118774141.657088122605
6591159077.842911877437.1570881226045
661041110044.3429118774366.657088122604
6796789670.009578544067.99042145593806
68104089849.3429118774558.657088122605
69101539804.67624521073348.323754789271
701036810379.8429118774-11.8429118773951
711058110258.1762452107322.823754789271
721059710034.6762452107562.323754789271
731068010121.7728516694558.227148330604
7497389389.62999452655348.370005473453
7595569748.34428024083-192.344280240833


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
160.06288640862177630.1257728172435530.937113591378224
170.02525383805256070.05050767610512140.97474616194744
180.009709586528434260.01941917305686850.990290413471566
190.1485793198703770.2971586397407550.851420680129622
200.3755551605108310.7511103210216610.62444483948917
210.5089104147038150.982179170592370.491089585296185
220.4060945543763840.8121891087527690.593905445623615
230.3469738124610610.6939476249221220.653026187538939
240.2723848619083560.5447697238167130.727615138091644
250.201453921323330.402907842646660.79854607867667
260.2206290849021420.4412581698042840.779370915097858
270.1620104284141250.3240208568282500.837989571585875
280.1176280502607680.2352561005215360.882371949739232
290.08026463706497560.1605292741299510.919735362935024
300.1162859254729220.2325718509458450.883714074527078
310.1073010413915310.2146020827830620.892698958608469
320.1341888956003020.2683777912006040.865811104399698
330.09905893413577250.1981178682715450.900941065864227
340.09479006990057170.1895801398011430.905209930099428
350.09513373287518910.1902674657503780.904866267124811
360.08624930582581250.1724986116516250.913750694174188
370.07127026395842210.1425405279168440.928729736041578
380.05896492493722160.1179298498744430.941035075062778
390.05718578360216430.1143715672043290.942814216397836
400.03931459807165340.07862919614330680.960685401928347
410.02828281665721030.05656563331442070.97171718334279
420.03141779110549730.06283558221099470.968582208894503
430.03479141111058770.06958282222117540.965208588889412
440.1762108076853410.3524216153706810.82378919231466
450.2018131266106900.4036262532213790.79818687338931
460.1542503535968750.3085007071937490.845749646403125
470.1585107080377670.3170214160755350.841489291962233
480.1794247766376560.3588495532753110.820575223362344
490.350709779801320.701419559602640.64929022019868
500.3035535552079090.6071071104158170.696446444792092
510.3106273209864690.6212546419729380.689372679013531
520.2952660140050510.5905320280101020.704733985994949
530.2191458075596740.4382916151193490.780854192440326
540.1942139204405460.3884278408810920.805786079559454
550.1320944280205680.2641888560411370.867905571979432
560.2074674739514520.4149349479029040.792532526048548
570.1651515689387810.3303031378775630.834848431061219
580.1511905292441010.3023810584882020.848809470755899
590.0957868379932260.1915736759864520.904213162006774


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 level60.136363636363636NOK