Multiple Linear Regression - Estimated Regression Equation
Aantal_werknemers[t] = + 6.45466517236696 -0.00148584042151191Activa[t] + 0.0104249780876803Omzet[t] + 0.000673311632243301Marktwaarde[t] + 0.0445309265089534Winst[t] -0.0377493453559151Cashflow[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)6.454665172366963.4430351.87470.0648340.032417
Activa-0.001485840421511910.000439-3.3840.0011520.000576
Omzet0.01042497808768030.00097310.714700
Marktwaarde0.0006733116322433010.0012080.55750.5788610.28943
Winst0.04453092650895340.0276871.60840.1120670.056034
Cashflow-0.03774934535591510.017717-2.13070.0364820.018241


Multiple Linear Regression - Regression Statistics
Multiple R0.939495070764463
R-squared0.882650987990724
Adjusted R-squared0.874613384428444
F-TEST (value)109.815193191792
F-TEST (DF numerator)5
F-TEST (DF denominator)73
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation22.8409201345601
Sum Squared Residuals38084.6571793147


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
118.216.42231652666761.77768347333239
2143.871.716850315221672.0831496847784
323.427.4993201590538-4.09932015905381
41.14.67065506212421-3.57065506212421
549.552.1068141768362-2.60681417683619
64.822.8391647021591-18.0391647021591
720.821.3380264210753-0.538026421075281
819.413.9504435610065.44955643899396
92.15.29751856732953-3.19751856732953
1079.430.310034849029549.0899651509705
112.811.9371349192071-9.13713491920712
123.815.1348329802097-11.3348329802097
134.14.14093544551115-0.0409354455111481
1413.217.7715668927657-4.57156689276567
152.89.97188780754144-7.17188780754144
1648.5103.960291756308-55.4602917563081
176.210.9168742557593-4.71687425575932
1810.830.3773572960367-19.5773572960367
193.88.84170043259203-5.04170043259204
2021.915.69860830219056.20139169780954
2112.620.1420689411752-7.54206894117522
2212889.955745686236638.0442543137634
2387.364.165934353475623.1340656465243
241621.547679160879-5.54767916087896
250.78.74771594473479-8.04771594473479
2622.518.36793309343174.1320669065683
2715.416.8095653015247-1.4095653015247
2834.15842273086476-1.15842273086477
292.15.54236111911203-3.44236111911203
304.13.944173889850630.155826110149371
316.414.5404536500256-8.14045365002563
3226.627.743625656836-1.14362565683597
33304253.9476059929250.0523940070797
3418.628.487915940306-9.88791594030599
356571.0246118671701-6.02461186717006
3666.238.635508312705227.5644916872948
378364.322682514528618.6773174854714
386235.353724149216726.6462758507833
391.68.0769679277955-6.4769679277955
40400.2433.678734076102-33.4787340761024
4123.321.16761939508272.13238060491728
424.616.878876641234-12.278876641234
43164.6173.485890373617-8.88589037361714
441.912.9242204980115-11.0242204980115
4557.568.3968772993121-10.896877299312
462.44.65154518471247-2.25154518471247
4777.352.935244873969324.3647551260307
4815.8-8.9715268362427224.7715268362427
490.64.39282959114051-3.79282959114051
503.59.47829520046423-5.97829520046423
5191.787105391158317.21289460884169
526240.916625907731721.0833740922683
537.42.594339693571934.80566030642807
5415.60.059084382837312415.5409156171627
5525.234.3055588822512-9.10555888225125
5625.432.303254851619-6.90325485161902
573.520.4691501089661-16.9691501089661
5827.3113.869678436793-86.5696784367933
5937.541.5145467063215-4.01454670632147
603.49.16241461920355-5.76241461920355
6114.320.4453123896428-6.14531238964278
626.112.7466710420867-6.64667104208675
634.917.3859173959099-12.4859173959099
643.39.49669002762793-6.19669002762793
6571.083105668835785.91689433116422
668.23.11408540921785.0859145907822
6743.541.31646520200722.18353479799283
6848.556.638805958222-8.13880595822201
695.412.4857982799179-7.08579827991789
7049.549.7928311960457-0.29283119604573
7129.131.8714850671075-2.77148506710752
722.627.7290987955109-25.1290987955109
730.84.35091040680033-3.55091040680033
74184.8137.81976632666546.980233673335
752.329.2151685399705-26.9151685399705
76828.3402999329623-20.3402999329623
7710.316.9469002954369-6.64690029543692
785029.899618801407720.1003811985923
79118.163.103673325353854.9963266746462


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
90.05346229033744090.1069245806748820.946537709662559
100.02223998312069580.04447996624139160.977760016879304
110.006441527081604790.01288305416320960.993558472918395
120.001988726162556850.00397745232511370.998011273837443
130.0005012808024021020.00100256160480420.999498719197598
140.0008407662757464630.001681532551492930.999159233724254
150.0002378132789025550.000475626557805110.999762186721097
160.04267281680010010.08534563360020010.9573271831999
170.02529639180674850.05059278361349690.974703608193252
180.04344486338715750.0868897267743150.956555136612843
190.0283401264551510.05668025291030210.971659873544849
200.02602296316375690.05204592632751370.973977036836243
210.01567917670732640.03135835341465290.984320823292674
220.02325792526803320.04651585053606640.976742074731967
230.0949308453866060.1898616907732120.905069154613394
240.06684865931218850.1336973186243770.933151340687812
250.04856562694713540.09713125389427070.951434373052865
260.03254272522593610.06508545045187230.967457274774064
270.02063308229403870.04126616458807730.979366917705961
280.01900632857462720.03801265714925450.980993671425373
290.01300126379827160.02600252759654320.986998736201728
300.0119134773155420.02382695463108390.988086522684458
310.007668301052487020.0153366021049740.992331698947513
320.004735133576012660.009470267152025320.995264866423987
330.02836510440578670.05673020881157340.971634895594213
340.02150125770848980.04300251541697960.97849874229151
350.01474146858675330.02948293717350660.985258531413247
360.02545048430091170.05090096860182350.974549515699088
370.0212637351240640.04252747024812810.978736264875936
380.06790452278527020.135809045570540.93209547721473
390.04823358566416020.09646717132832050.95176641433584
400.7421006560133110.5157986879733780.257899343986689
410.7052505623015590.5894988753968830.294749437698441
420.6572903591016440.6854192817967110.342709640898356
430.8455016317380850.308996736523830.154498368261915
440.8217612201279030.3564775597441950.178238779872097
450.9061766640873280.1876466718253430.0938233359126716
460.8735460390610070.2529079218779850.126453960938993
470.8652314539754470.2695370920491070.134768546024553
480.904520102708530.190959794582940.0954798972914698
490.9346422391268580.1307155217462840.065357760873142
500.9111179670837340.1777640658325320.0888820329162662
510.8815050528349640.2369898943300720.118494947165036
520.8754049473292090.2491901053415820.124595052670791
530.8334233589304380.3331532821391240.166576641069562
540.7916476083984120.4167047832031760.208352391601588
550.7364783955639840.5270432088720330.263521604436016
560.6874394304716560.6251211390566880.312560569528344
570.6379348361542870.7241303276914260.362065163845713
580.909002170809350.1819956583812990.0909978291906496
590.8727660877256150.254467824548770.127233912274385
600.8195601676494390.3608796647011220.180439832350561
610.7515068487804310.4969863024391370.248493151219569
620.6730167382502440.6539665234995120.326983261749756
630.6299782095441590.7400435809116810.370021790455841
640.5398092354993060.9203815290013880.460190764500694
650.4450492571919650.8900985143839290.554950742808035
660.37557969191850.7511593838370010.6244203080815
670.2700496622465740.5400993244931480.729950337753426
680.2087258819156670.4174517638313340.791274118084333
690.1275977336176240.2551954672352470.872402266382376
700.07683157597927860.1536631519585570.923168424020721


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level50.0806451612903226NOK
5% type I error level170.274193548387097NOK
10% type I error level270.435483870967742NOK