Multiple Linear Regression - Estimated Regression Equation
OPENVAC[t] = + 924.941098360748 + 0.284687759825570Ontvangenjobs[t] + 0.848788463181187Y1[t] + 0.180972280243111Y2[t] -0.106085282488889Y3[t] -0.0918130996214495Y4[t] -1232.18515504665M1[t] -1627.48254425213M2[t] -1485.68750061927M3[t] -2331.03065407168M4[t] -2916.50378100544M5[t] -1302.06244103622M6[t] + 1748.03706639959M7[t] + 768.503687373678M8[t] + 665.210359731611M9[t] + 1276.71116665207M10[t] -592.262168360054M11[t] + 11.7395406043119t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)924.9410983607481282.5754870.72120.4723840.236192
Ontvangenjobs0.2846877598255700.0931783.05530.0028380.001419
Y10.8487884631811870.0953768.899400
Y20.1809722802431110.1257711.43890.1530970.076549
Y3-0.1060852824888890.125558-0.84490.4000470.200023
Y4-0.09181309962144950.092227-0.99550.3217320.160866
M1-1232.18515504665729.154683-1.68990.0939620.046981
M2-1627.48254425213731.229755-2.22570.0281330.014066
M3-1485.68750061927731.226167-2.03180.0446540.022327
M4-2331.03065407168796.803722-2.92550.00420.0021
M5-2916.50378100544790.105737-3.69130.0003530.000176
M6-1302.06244103622942.428542-1.38160.1699720.084986
M71748.03706639959917.9714551.90420.0595650.029782
M8768.503687373678893.3296190.86030.3915640.195782
M9665.210359731611786.4729960.84580.3995440.199772
M101276.71116665207727.9448171.75390.0823180.041159
M11-592.262168360054763.043963-0.77620.4393530.219676
t11.73954060431197.0029591.67640.0965860.048293


Multiple Linear Regression - Regression Statistics
Multiple R0.98347805294863
R-squared0.967229080631628
Adjusted R-squared0.962022485965625
F-TEST (value)185.769997988750
F-TEST (DF numerator)17
F-TEST (DF denominator)107
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation1523.55004830490
Sum Squared Residuals248368908.216816


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
14039942817.99142676-2418.99142676001
23676338640.8452437425-1877.84524374252
33790336527.90440243241375.09559756761
43553234560.8366923995971.16330760054
53553332972.69027163202560.30972836805
63211033283.7810561923-1173.78105619233
73337433512.1018696622-138.101869662240
83546234100.38555264721361.61444735285
93350836366.0566415830-2858.05664158304
103608035359.8690383818720.13096161825
113456034787.2888187696-227.288818769564
123873735714.95025480353022.04974519653
133814437433.3686679841710.63133201587
143759437418.8169870515175.183012948475
153642437145.8691401469-721.869140146916
163684334391.73993863112451.26006136893
173724634270.85309045432975.14690954567
183866135631.77587206113029.2241279389
194045440024.5755746785429.42442532151
204492842511.46008662322416.53991337676
214844146856.94703679711584.0529632029
224814049856.0462900093-1716.04629000934
234599847682.8987952364-1684.89879523638
244736946502.5874752095866.412524790473
254955445390.08450103814163.91549896185
264751048182.3054805171-672.305480517125
274487346044.3219498147-1171.32194981472
284534443184.06863658622159.93136341377
294241342828.965276057-415.965276057
303691240022.1475758809-3110.14757588088
314345239164.59312827164287.40687172845
324214244266.9717065268-2124.97170652678
334438244495.6356531236-113.635653123609
344363646701.1124945306-3065.11249453061
354416744361.2577765037-194.257776503731
364442345606.8638081333-1183.86380813334
374286843766.1927995537-898.192799553655
384390842212.6438526681695.35614733201
394201343700.109192524-1687.10919252403
403884640440.1447143107-1594.14471431067
413508737065.3695754676-1978.36957546757
423302633042.539893663-16.5398936630174
433464634781.699263432-135.699263432033
443713536158.5792501996976.42074980038
453798538982.7962640933-997.796264093277
464312140409.56353697132711.43646302868
474372242432.11722430231289.88277569768
484363044924.2526486238-1294.25264862377
494223443432.7154835369-1198.71548353694
503935139793.7656452113-442.765645211299
513932738685.9785642051641.021435794922
523570436701.2774176484-997.277417648444
533046632668.7019211531-2202.70192115309
542815528676.7640704514-521.76407045135
552925729423.777421447-166.777421446980
562999829986.413025978011.5869740220488
573252931804.3286831368724.671316863175
583478734441.6809132585345.319086741516
593385534221.2770706439-366.277070643889
603455635660.1337770414-1104.13377704142
613134833441.5379427244-2093.53794272436
623080530571.2719132893233.728086710662
632835329891.8479303808-1538.84793038082
642451426212.6758637673-1698.67586376735
652110621817.9665133548-711.966513354802
662134619569.70912095651776.29087904347
672333523302.690463681432.3095363185674
682437925009.4683168542-630.468316854195
692629026836.3399777779-546.339977777885
703008428672.25697238001411.74302762005
712942929875.133588171-446.13358817099
723063231948.16045315-1316.16045315001
732734929539.2126777431-2190.21267774306
742726426642.447035512621.55296448799
752747426808.1015205016665.898479498451
762448225551.8706632517-1069.87066325171
772145322676.2622904318-1223.26229043183
781878820150.3594345554-1362.35943455544
791928220851.8771816346-1569.87718163460
801971320704.3807815668-991.380781566829
812191722064.7312454795-147.73124547947
822381224284.0838272759-472.083827275865
832378524249.7110630637-464.711063063731
842469625411.3690749274-715.369074927442
852456224283.7343186012278.265681398765
862358023744.3123843418-164.312384341796
872493923298.93449570861640.06550429143
882389923589.1947677301309.805232269928
892145422167.4655997367-713.465599736717
901976120704.0648766583-943.064876658334
911981522020.8742211300-2205.87422112996
922078021989.4994221242-1209.49942212423
932346222814.3116280915647.68837190845
942500525397.2350215804-392.235021580395
952472525058.3300593956-333.330059395634
962619825877.1066694198320.893330580244
972754325699.97869271471843.02130728527
982647126740.1898786732-269.189878673216
992655826289.6932952567268.306704743256
1002531725024.4134379354292.586562064577
1012289623115.2087480730-219.208748073042
1022224821295.6073618901952.392638109877
1032340624164.2554288906-758.255428890599
1042507325062.875131265110.1248687349208
1052769126628.05921642681062.94078357323
1063059929610.4078406598988.592159340184
1073194830357.98191722191590.01808277811
1083294632594.7826803794351.217319620586
1093401232456.46485458251555.53514541751
1103293632069.2439964544866.756003545574
1113297432418.8225827923555.17741720771
1123095130769.0777762032181.922223796800
1132981228467.23454409001344.76545591003
1142901027640.25073769091369.74926230911
1153106830842.5554471721225.444552827892
1163244732266.9667262149180.033273785083
1173484434199.7936534905644.206346509527
1183567636207.7440649525-531.744064952478
1193538734550.0036866919836.996313308125
1203648835434.79315831181053.20684168816
1213565235403.7186347612248.281365238763
1223348833654.1575825388-166.157582538762
1233291432940.4169262369-26.4169262369055
1242978130787.7000915364-1006.70009153637
1252795127366.2821695497584.717830450292


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
210.6349830187162220.7300339625675560.365016981283778
220.5424914707132250.9150170585735510.457508529286775
230.408685278688570.817370557377140.59131472131143
240.2991233496774490.5982466993548990.70087665032255
250.5585368458844060.8829263082311880.441463154115594
260.7834465203203130.4331069593593740.216553479679687
270.7288333160042620.5423333679914750.271166683995738
280.8262265580997520.3475468838004970.173773441900248
290.9889808725186430.02203825496271380.0110191274813569
300.9981694842671250.003661031465749790.00183051573287489
310.9998699414879160.0002601170241680640.000130058512084032
320.9999864233344882.71533310246630e-051.35766655123315e-05
330.9999735355023665.2928995267639e-052.64644976338195e-05
340.9999982131098293.57378034210147e-061.78689017105073e-06
350.9999967876982476.42460350680787e-063.21230175340394e-06
360.9999986855644942.62887101102943e-061.31443550551471e-06
370.9999988830496162.23390076852805e-061.11695038426403e-06
380.9999992848837751.43023245096285e-067.15116225481425e-07
390.9999994855473871.02890522495247e-065.14452612476234e-07
400.9999998035069493.92986102511747e-071.96493051255873e-07
410.9999999428015231.14396954145496e-075.71984770727478e-08
420.999999883432562.33134879599301e-071.16567439799650e-07
430.9999997895310944.20937812037991e-072.10468906018995e-07
440.9999997322237065.35552588795804e-072.67776294397902e-07
450.9999996140527787.71894443370768e-073.85947221685384e-07
460.999999990803321.83933609883443e-089.19668049417216e-09
470.9999999933213171.33573660888640e-086.67868304443201e-09
480.9999999900336721.99326566585559e-089.96632832927796e-09
490.999999982949473.41010598340737e-081.70505299170369e-08
500.9999999650243446.9951312004066e-083.4975656002033e-08
510.9999999558308558.83382896582043e-084.41691448291021e-08
520.9999999167893731.66421254718805e-078.32106273594024e-08
530.9999999378255921.24348815240932e-076.21744076204661e-08
540.9999998585957582.82808483573682e-071.41404241786841e-07
550.9999998050984353.89803129279064e-071.94901564639532e-07
560.9999996271010737.45797853163476e-073.72898926581738e-07
570.9999994718816381.05623672377425e-065.28118361887124e-07
580.9999991909798261.61804034811567e-068.09020174057835e-07
590.9999983248533553.35029329062818e-061.67514664531409e-06
600.9999974041377675.19172446573958e-062.59586223286979e-06
610.9999977179813964.56403720701658e-062.28201860350829e-06
620.9999971050409595.78991808211107e-062.89495904105553e-06
630.9999974626825.07463600188501e-062.53731800094251e-06
640.9999966715881436.65682371434338e-063.32841185717169e-06
650.9999931184304771.37631390464013e-056.88156952320063e-06
660.999997335853275.32829345981108e-062.66414672990554e-06
670.9999973028421865.394315628981e-062.6971578144905e-06
680.9999947949452021.04101095954773e-055.20505479773864e-06
690.99998934455182.13108963995391e-051.06554481997696e-05
700.9999985773768992.84524620246311e-061.42262310123156e-06
710.9999968264179786.34716404400791e-063.17358202200395e-06
720.9999941785575081.16428849843978e-055.82144249219891e-06
730.9999993107271361.37854572893987e-066.89272864469937e-07
740.9999999837452853.25094306266355e-081.62547153133177e-08
750.9999999683032856.33934301461292e-083.16967150730646e-08
760.9999999206112431.58777513416906e-077.9388756708453e-08
770.999999797226354.05547299614891e-072.02773649807445e-07
780.9999996043397167.913205681906e-073.956602840953e-07
790.9999992686321481.46273570310227e-067.31367851551133e-07
800.9999983206368173.35872636580614e-061.67936318290307e-06
810.999995983647448.03270511911307e-064.01635255955653e-06
820.9999914876750681.70246498634428e-058.51232493172138e-06
830.9999797694896884.04610206235164e-052.02305103117582e-05
840.9999530593237379.38813525262932e-054.69406762631466e-05
850.9999186058494630.0001627883010743638.13941505371814e-05
860.99985942338420.0002811532315982020.000140576615799101
870.9999188760635420.0001622478729162938.11239364581466e-05
880.9998947286140150.0002105427719705880.000105271385985294
890.9998249561653770.0003500876692453560.000175043834622678
900.9997697209126560.000460558174688290.000230279087344145
910.9998350714087380.0003298571825240850.000164928591262042
920.999648808965230.0007023820695411870.000351191034770593
930.9992876261083990.001424747783202830.000712373891601414
940.9983326925016410.003334614996717440.00166730749835872
950.998228783872690.003542432254621840.00177121612731092
960.9964934588524980.00701308229500450.00350654114750225
970.9960889786150150.007822042769970010.00391102138498501
980.9920879200553980.01582415988920320.00791207994460158
990.9825546469012720.0348907061974560.017445353098728
1000.9628440138777850.07431197224443030.0371559861222152
1010.9748584146471310.05028317070573790.0251415853528690
1020.9539727879938340.09205442401233290.0460272120061664
1030.9697707315891420.06045853682171660.0302292684108583
1040.9761874884563970.0476250230872050.0238125115436025


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level680.80952380952381NOK
5% type I error level720.857142857142857NOK
10% type I error level760.904761904761905NOK