Multiple Linear Regression - Estimated Regression Equation
geboortes[t] = + 9430.3111111111 + 286.706944444442x[t] + 99.1618551587258M1[t] -638.203273809524M2[t] -284.711259920635M3[t] -37.555158730158M4[t] -920.277430555555M5[t] + 41.0002976190481M6[t] -338.555307539682M7[t] -164.444246031746M8[t] -214.333184523809M9[t] + 355.611210317461M10[t] + 228.722271825397M11[t] + 5.2222718253969t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)9430.3111111111140.71317167.01800
x286.706944444442134.5833562.13030.0371850.018593
M199.1618551587258158.5738740.62530.5340830.267042
M2-638.203273809524158.462983-4.02750.0001597.9e-05
M3-284.711259920635158.413321-1.79730.0772430.038622
M4-37.555158730158166.197782-0.2260.8219830.410991
M5-920.277430555555165.759024-5.55191e-060
M641.0002976190481165.3778250.24790.805030.402515
M7-338.555307539682165.054585-2.05120.0445520.022276
M8-164.444246031746164.789644-0.99790.3222680.161134
M9-214.333184523809164.583284-1.30230.1977170.098859
M10355.611210317461164.4357252.16260.0345010.01725
M11228.722271825397164.3471261.39170.1690670.084533
t5.22227182539693.1160741.67590.0988740.049437


Multiple Linear Regression - Regression Statistics
Multiple R0.857999753809147
R-squared0.736163577536557
Adjusted R-squared0.679936143241069
F-TEST (value)13.0926048246813
F-TEST (DF numerator)13
F-TEST (DF denominator)61
p-value3.89466237038505e-13
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation284.606401731326
Sum Squared Residuals4941049.03829364


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
197009534.69523809526165.304761904736
290818802.55238095238278.44761904762
390849161.26666666666-77.2666666666647
497439413.64503968254329.354960317462
585878536.1450396825450.8549603174615
697319502.64503968254228.354960317461
795639128.3117063492434.688293650795
899989307.64503968254690.354960317462
994379262.97837301587174.021626984128
10100389838.14503968254199.854960317462
1199189716.47837301587201.521626984128
1292529492.97837301587-240.978373015872
1397379597.3625139.637500000006
1490358865.21964285714169.780357142858
1591339223.93392857143-90.9339285714277
1694879476.312301587310.6876984126986
1787008598.8123015873101.187698412699
1896279565.312301587361.6876984126987
1989479190.97896825397-243.978968253968
2092839370.3123015873-87.3123015873014
2188299325.64563492063-496.645634920634
2299479900.812301587346.1876984126987
2396289779.14563492063-151.145634920635
2493189555.64563492063-237.645634920635
2596059660.02976190476-55.0297619047573
2686408927.8869047619-287.886904761905
2792149286.60119047619-72.6011904761906
2895679538.9795634920628.0204365079358
2985478661.47956349206-114.479563492064
3091859627.97956349206-442.979563492064
3194709253.64623015873216.353769841269
3291239432.97956349206-309.979563492064
3392789388.3128968254-110.312896825398
34101709963.47956349206206.520436507936
3594349841.8128968254-407.812896825397
3696559618.312896825436.6871031746026
3794299722.69702380952-293.69702380952
3887398990.55416666667-251.554166666667
3995529349.26845238095202.731547619047
4096879888.35376984127-201.353769841269
4190199010.853769841278.14623015873069
4296729977.35376984127-305.353769841269
4392069603.02043650794-397.020436507936
4490699782.35376984127-713.35376984127
4597889737.687103174650.3128968253973
461031210312.8537698413-0.853769841269287
471010510191.1871031746-86.1871031746026
4898639967.6871031746-104.687103174603
49965610072.0712301587-416.071230158725
5092959339.92837301587-44.9283730158728
5199469698.64265873016247.357341269842
5297019951.02103174603-250.021031746032
5390499073.52103174603-24.5210317460321
541019010040.021031746149.978968253968
5597069665.687698412740.3123015873013
5697659845.02103174603-80.021031746032
5798939800.3543650793792.6456349206346
58999410375.521031746-381.521031746032
591043310253.8543650794179.145634920635
601007310030.354365079442.6456349206347
611011210134.7384920635-22.7384920634879
6292669402.59563492064-136.595634920636
6398209761.3099206349258.6900793650788
641009710013.688293650883.3117063492052
6591159136.1882936508-21.1882936507949
661041110102.6882936508308.311706349205
6796789728.35496031746-50.3549603174615
68104089907.6882936508500.311706349205
69101539863.02162698413289.978373015872
701036810438.1882936508-70.1882936507949
711058110316.5216269841264.478373015872
721059710093.0216269841503.978373015872
731068010197.4057539683482.594246031749
7497389465.2628968254272.737103174602
7595569823.97718253968-267.977182539684


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
170.1287040941606920.2574081883213830.871295905839308
180.05852610495062910.1170522099012580.941473895049371
190.3323676144693830.6647352289387670.667632385530617
200.5508841074487180.8982317851025640.449115892551282
210.5867566713536370.8264866572927260.413243328646363
220.5134490185043250.973101962991350.486550981495675
230.4078719815517960.8157439631035920.592128018448204
240.3705938047691470.7411876095382950.629406195230853
250.3190365610081340.6380731220162680.680963438991866
260.2495087175416650.499017435083330.750491282458335
270.2804863227684880.5609726455369760.719513677231512
280.2423723346773510.4847446693547020.757627665322649
290.1824973350995240.3649946701990480.817502664900476
300.1977471431570170.3954942863140350.802252856842983
310.2999590302742410.5999180605484830.700040969725759
320.287707852601750.5754157052035010.71229214739825
330.2887685777805080.5775371555610160.711231422219492
340.3824245330037390.7648490660074790.617575466996261
350.3742070999535840.7484141999071680.625792900046416
360.4429156614962320.8858313229924630.557084338503768
370.3848646290269040.7697292580538090.615135370973096
380.3590140372140780.7180280744281560.640985962785922
390.446307393782850.8926147875656990.55369260621715
400.3751816315465150.750363263093030.624818368453485
410.3643615403844430.7287230807688850.635638459615557
420.3164595305081550.632919061016310.683540469491845
430.2823692156678230.5647384313356470.717630784332177
440.5455371596092010.9089256807815990.454462840390799
450.5628523188879750.874295362224050.437147681112025
460.6271859254952340.7456281490095320.372814074504766
470.5644365603499060.8711268793001890.435563439650094
480.5031674507355750.993665098528850.496832549264425
490.5594251094923570.8811497810152870.440574890507643
500.4837901864031160.9675803728062330.516209813596883
510.7830174292104430.4339651415791130.216982570789557
520.7053026668914550.589394666217090.294697333108545
530.6481885209959240.7036229580081510.351811479004076
540.5846574128348720.8306851743302560.415342587165128
550.580366115387950.83926776922410.41963388461205
560.5584800634487710.8830398731024580.441519936551229
570.4293484806326750.8586969612653490.570651519367325
580.2934596734201120.5869193468402240.706540326579888


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 level00OK