Multiple Linear Regression - Estimated Regression Equation
Aantal_Werknemers[t] = -2.12000159865992 -0.00152910182552142Activa[t] + 0.0100733378718534Omzet[t] + 0.000666066379215174Marktwaarde[t] + 0.0374019936078903Winst[t] -0.0315420048628704Cashflow[t] + 12.328801455594Dienst[t] + 14.2438423105841Product[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-2.120001598659925.112857-0.41460.6796550.339827
Activa-0.001529101825521420.000448-3.4160.0010550.000527
Omzet0.01007333787185340.00097110.372500
Marktwaarde0.0006660663792151740.00120.55510.5805660.290283
Winst0.03740199360789030.0274721.36140.1776770.088838
Cashflow-0.03154200486287040.017594-1.79270.0772750.038637
Dienst12.3288014555946.139752.0080.0484460.024223
Product14.24384231058417.5683771.8820.0639320.031966


Multiple Linear Regression - Regression Statistics
Multiple R0.94363632152737
R-squared0.890449507305705
Adjusted R-squared0.879648754504859
F-TEST (value)82.4432818456839
F-TEST (DF numerator)7
F-TEST (DF denominator)71
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation22.3775893437347
Sum Squared Residuals35553.7118434149


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
118.28.207685429213329.99231457078668
2143.861.80770380234281.992296197658
323.418.71975865302274.68024134697729
41.18.19092162284392-7.09092162284392
549.555.1806766873105-5.68067668731051
64.828.065918171652-23.265918171652
720.826.6635590843253-5.86355908432534
819.45.518944096688313.8810559033117
92.18.84540561918255-6.74540561918255
1079.438.140616854184341.2593831458157
112.815.5439428458293-12.7439428458293
123.86.2869932749472-2.4869932749472
134.17.51556353940158-3.41556353940158
1413.223.3565373801188-10.1565373801188
152.81.389053704122121.41094629587788
1648.5101.225233615632-52.7252336156319
176.21.959290198218224.24070980178178
1810.821.8609924715811-11.0609924715811
193.812.4996365026982-8.69963650269816
2021.920.19985657637771.70014342362232
2112.611.20539187837421.39460812162581
2212891.206358051205536.7936419487945
2387.368.835500340254518.4644996597455
241624.8796458216675-8.87964582166745
250.712.3722100128305-11.6722100128305
2622.523.6471886348888-1.14718863488877
2715.47.937582551711787.46241744828822
2837.57590072471927-4.57590072471927
292.19.09649134900074-6.99649134900074
304.17.36278708553233-3.26278708553233
316.46.064088457902410.335911542097589
3226.632.9506533307456-6.35065333074557
33304253.74417264292950.2558273570707
3418.631.5950881014359-12.9950881014359
356572.8089263619535-7.80892636195345
3666.244.501585117759621.6984148822404
378368.843168584183714.1568314158163
386238.587959522688823.4120404773112
391.6-0.5285833046270262.12858330462703
40400.2433.336962116418-33.1369621164181
4123.324.7811645783178-1.48116457831782
424.68.04143656592033-3.44143656592033
43164.6172.157076692305-7.55707669230454
441.94.09990202612825-2.19990202612825
4557.573.1512354855731-15.6512354855731
462.48.14442061513064-5.74442061513064
4777.355.300577731516721.9994222684833
4815.8-7.7123597984501523.5123597984502
490.6-3.66942518318544.2694251831854
503.50.8163670072106332.68363299278937
5194.580202704265164.41979729573484
526246.136951677632315.8630483223677
537.45.717586043383951.68241395661606
5415.62.250413985638513.3495860143615
5525.239.3589809188284-14.1589809188284
5625.435.966880340283-10.566880340283
573.511.4611289907925-7.96112899079255
5827.3105.264443253132-77.9644432531322
5937.546.5373534400861-9.03735344008605
603.40.4416505647816942.95834943521831
6114.323.9425405911499-9.64254059114986
626.116.2651840872963-10.1651840872963
634.98.69099083469657-3.79099083469657
643.313.202701864527-9.90270186452704
6574.112144063034962.88785593696504
668.26.152707035271722.04729296472828
6743.544.1068501488631-0.606850148863126
6848.558.9104595087513-10.4104595087513
695.418.0440326506326-12.6440326506326
7049.553.3965673049476-3.89656730494763
7129.135.753806155955-6.65380615595503
722.632.6245555851777-30.0245555851777
730.87.72691780640063-6.92691780640063
74184.8139.90507753384744.8949224661535
752.319.9933635981138-17.6933635981138
76818.8312411289131-10.8312411289131
7710.320.5216945511726-10.2216945511726
785032.826767648391317.1732323516087
79118.165.165042752302352.9349572476977


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
110.09071667111720670.1814333422344130.909283328882793
120.03270385145119330.06540770290238650.967296148548807
130.01013398605482590.02026797210965180.989866013945174
140.008420946049515690.01684189209903140.991579053950484
150.002695350075173020.005390700150346040.997304649924827
160.07386427160441260.1477285432088250.926135728395587
170.04624575124414130.09249150248828260.953754248755859
180.07696575765090890.1539315153018180.923034242349091
190.06703652788380740.1340730557676150.932963472116193
200.05080382843641340.1016076568728270.949196171563587
210.03086196852381170.06172393704762330.969138031476188
220.03010775426570390.06021550853140770.969892245734296
230.06775148985004580.1355029797000920.932248510149954
240.05638209220037540.1127641844007510.943617907799625
250.05069617949541390.1013923589908280.949303820504586
260.04592587198877890.09185174397755770.954074128011221
270.03039126535070660.06078253070141330.969608734649293
280.02486002601408940.04972005202817880.975139973985911
290.01589011607852860.03178023215705720.984109883921471
300.01301381564879840.02602763129759680.986986184351202
310.008457891724013770.01691578344802750.991542108275986
320.007392790685204870.01478558137040970.992607209314795
330.05228380099939040.1045676019987810.94771619900061
340.04853063990552440.09706127981104880.951469360094476
350.03660104726722550.0732020945344510.963398952732775
360.05422838626051650.1084567725210330.945771613739483
370.04444221796167730.08888443592335460.955557782038323
380.09561047534033020.191220950680660.90438952465967
390.07068277190047320.1413655438009460.929317228099527
400.9387126473296960.1225747053406080.061287352670304
410.9199621722091030.1600756555817940.0800378277908969
420.8964880155199150.2070239689601710.103511984480085
430.9682255516413340.06354889671733130.0317744483586657
440.9538943436456220.0922113127087560.046105656354378
450.9752049130791750.04959017384164920.0247950869208246
460.9624384380170910.07512312396581890.0375615619829095
470.9547968859427970.09040622811440540.0452031140572027
480.9669162544277550.06616749114448930.0330837455722447
490.9903839954970270.01923200900594660.00961600450297328
500.9907984125482990.01840317490340150.00920158745170075
510.9847848784395070.03043024312098620.0152151215604931
520.9789521108420340.04209577831593180.0210478891579659
530.9673982020902680.06520359581946360.0326017979097318
540.9518690462225890.09626190755482160.0481309537774108
550.9365001238373890.1269997523252220.0634998761626108
560.9072642909550180.1854714180899640.0927357090449822
570.8736719086249830.2526561827500340.126328091375017
580.9786945234352660.04261095312946810.0213054765647341
590.9757855841214150.04842883175717090.0242144158785854
600.9699209138285380.06015817234292350.0300790861714618
610.95931011139340.08137977721320050.0406898886066003
620.938807874976310.1223842500473810.0611921250236903
630.9064241032281820.1871517935436350.0935758967718175
640.8676508880373570.2646982239252860.132349111962643
650.7849228976755240.4301542046489510.215077102324475
660.6674700347993590.6650599304012820.332529965200641
670.5294110499424160.9411779001151690.470588950057584
680.6801396955465390.6397206089069220.319860304453461


Meta Analysis of Goldfeld-Quandt test for Heteroskedasticity
Description# significant tests% significant testsOK/NOK
1% type I error level10.0172413793103448NOK
5% type I error level150.258620689655172NOK
10% type I error level330.568965517241379NOK