Multiple Linear Regression - Estimated Regression Equation
AantalOprichtingenVanVennootschappen[t] = + 1815.80641596785 -0.346846005071016AantalKapitaalverhogingen[t] + 0.790342856077187AantalKapitaalverminderingen[t] -60.9201147066003`O-Totaal`[t] + 60.9632875380797`O-InbrengInContanten`[t] + 60.9471520479854`O-InbrengInNatura`[t] + 61.0750196788343`O-TeStortenBedrag`[t] -6.11817074450653`KH-Totaal`[t] + 6.11852925688042`KH-InbrengInContanten`[t] + 6.12025110658391`KH-InbrengInNatura`[t] + 6.15920041550485`KH-TeStortenBedrag`[t] + 6.10973982855705`KH-ConversieVanEigenMiddelen`[t] + 6.07283591771757`KH-Schuldconversie`[t] + 6.1544759582151`KH-Uitgiftepremies`[t] + 9.90753976664803`KV-Totaal`[t] -9.91017642198655`KV-TerugbetalingAanDeAandeelhouders`[t] -9.91562118938747`KV-AanzuiveringVanVerliezen`[t] -9.89687797047405`KV-Andere`[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)1815.8064159678572.85851524.922400
AantalKapitaalverhogingen-0.3468460050710160.211706-1.63830.1056550.052828
AantalKapitaalverminderingen0.7903428560771870.2472443.19660.0020560.001028
`O-Totaal`-60.920114706600355.518329-1.09730.2761180.138059
`O-InbrengInContanten`60.963287538079755.5146971.09810.2757490.137875
`O-InbrengInNatura`60.947152047985455.5222351.09770.275940.13797
`O-TeStortenBedrag`61.075019678834355.508041.10030.274820.13741
`KH-Totaal`-6.1181707445065344.171131-0.13850.8902180.445109
`KH-InbrengInContanten`6.1185292568804244.1695790.13850.8902080.445104
`KH-InbrengInNatura`6.1202511065839144.1701350.13860.8901790.445089
`KH-TeStortenBedrag`6.1592004155048544.1733750.13940.8894920.444746
`KH-ConversieVanEigenMiddelen`6.1097398285570544.173870.13830.8903750.445188
`KH-Schuldconversie`6.0728359177175744.1714450.13750.8910270.445514
`KH-Uitgiftepremies`6.154475958215144.1749770.13930.8895810.44479
`KV-Totaal`9.9075397666480360.0750030.16490.8694630.434732
`KV-TerugbetalingAanDeAandeelhouders`-9.9101764219865560.075196-0.1650.8694290.434715
`KV-AanzuiveringVanVerliezen`-9.9156211893874760.075766-0.16510.8693590.43468
`KV-Andere`-9.8968779704740560.076424-0.16470.8696050.434803


Multiple Linear Regression - Regression Statistics
Multiple R0.687488843858199
R-squared0.472640910429483
Adjusted R-squared0.349831259433609
F-TEST (value)3.84856488555092
F-TEST (DF numerator)17
F-TEST (DF denominator)73
p-value2.78485522420269e-05
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation307.383241442328
Sum Squared Residuals6897365.36973026


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
119251882.2900376971942.7099623028051
215801739.20502036742-159.205020367423
319611987.11327666505-26.1132766650511
418071946.40016278434-139.400162784341
515261759.72663304057-233.726633040571
618021908.75369140187-106.753691401873
718221907.0507434457-85.0507434457
811251843.60579876103-718.605798761033
915691706.782005889-137.782005889
1018291923.9337758551-94.933775855096
1115751824.91555276249-249.915552762487
1223392491.28367283384-152.283672833845
1323552357.64506451273-2.64506451272658
1419601830.49308482874129.506915171264
1521032042.957146177860.0428538222041
1618361893.71913525458-57.7191352545782
1718641869.08232329707-5.08232329707474
1819442064.75389130603-120.753891306032
1919352171.92680734637-236.926807346366
2012781827.20133891123-549.201338911235
2117441872.15783484028-128.157834840276
2221911805.31287929786385.687120702141
2318931807.2172750790385.7827249209722
2426742435.16982679199238.830173208014
2526171934.60716392253682.392836077467
2620281988.2260484005339.7739515994711
2724121966.98581110623445.014188893767
2821631894.69854508621268.301454913791
2919201975.57883950196-55.5788395019603
3022122332.319356524-120.319356523999
3123192090.80317177603228.196828223974
3216191794.16609422888-175.166094228875
3317461937.32685419662-191.326854196624
3424852090.17244964162394.827550358376
3520792082.83384512401-3.83384512400824
3628542841.484177370812.5158226291996
3726512562.0692747063488.9307252936568
3821271905.38061911271221.619380887292
3921541988.9028346965165.0971653035
4025491982.53092164845566.469078351546
4119121895.8774542883216.1225457116801
4222742069.45053218209204.549467817906
4321972067.46275128767129.537248712332
4413401527.98613207981-187.986132079811
4519522055.31376324978-103.313763249779
4622871880.65423149086406.345768509137
4716672086.59450112464-419.594501124643
4827612972.48505472039-211.48505472039
4920922021.0673040653670.9326959346376
5018141922.95315685818-108.953156858182
5119192027.35692108822-108.356921088223
5218881970.80661485915-82.8066148591468
5315142075.17749725311-561.177497253111
5419051717.91171298994187.088287010058
5518702025.83233602266-155.832336022656
5612181897.42315028949-679.423150289491
5718301977.55969634244-147.559696342444
5822081956.03107421646251.968925783537
5917591889.50875915602-130.508759156017
6027512537.98222329478213.017776705223
6124551911.42870906562543.571290934377
6219771947.6704291472229.3295708527847
6325122169.26503352716342.734966472843
6421712026.47555589947144.524444100525
6517721782.66193443173-10.6619344317331
6621672272.52863726018-105.528637260181
6722372103.15451545654133.845484543458
6815191914.21471428017-395.214714280167
6920232002.7888581203220.2111418796771
7024912005.62104595282485.37895404718
7118812066.49634023838-185.496340238384
7230553197.51368361696-142.513683616957
7326531923.10298800747729.897011992528
7422251996.30590921333228.694090786671
7524622205.23870164398256.761298356016
7623071933.37073149408373.629268505918
7721862011.53519673234174.464803267664
7820722251.55837922043-179.558379220433
7921512140.8364306257810.163569374221
8015851846.97352917178-261.973529171779
8120922214.24638862414-122.246388624141
8223992090.19409845881308.805901541191
8318822009.45195048134-127.451950481339
8428192619.88465920975199.115340790246
8522671976.8158673471290.184132652899
8619102035.1669876821-125.1669876821
8719752302.85421530872-327.854215308715
8817952016.79028664013-221.790286640129
8915491759.59923953667-210.599239536673
9018152188.79449905848-373.794499058477
9117422111.24263149687-369.242631496872


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
210.4744013771519920.9488027543039840.525598622848008
220.356542380060250.7130847601204990.64345761993975
230.3907987624090870.7815975248181740.609201237590913
240.4790186359327520.9580372718655040.520981364067248
250.4193240382180930.8386480764361860.580675961781907
260.5329691792775380.9340616414449240.467030820722462
270.8566792911603120.2866414176793760.143320708839688
280.8393490506684770.3213018986630460.160650949331523
290.7869606556515040.4260786886969930.213039344348496
300.7412182936902790.5175634126194410.258781706309721
310.7587088939388820.4825822121222350.241291106061118
320.7358123795095580.5283752409808840.264187620490442
330.6883051576844320.6233896846311360.311694842315568
340.6692812871925040.6614374256149920.330718712807496
350.5923280337153010.8153439325693980.407671966284699
360.5683283760878450.8633432478243090.431671623912155
370.5539557873490970.8920884253018070.446044212650903
380.4947858299143830.9895716598287660.505214170085617
390.4357866653137140.8715733306274270.564213334686286
400.5047464606868380.9905070786263230.495253539313162
410.4317577956763620.8635155913527250.568242204323638
420.395298135295040.7905962705900810.60470186470496
430.3284124479801630.6568248959603260.671587552019837
440.2833883023648510.5667766047297020.716611697635149
450.2508594301504960.5017188603009920.749140569849504
460.3622326062774190.7244652125548390.637767393722581
470.4184813412472350.8369626824944690.581518658752765
480.5623087334194250.875382533161150.437691266580575
490.4897485891459370.9794971782918730.510251410854063
500.4488598858132910.8977197716265830.551140114186709
510.4084093017038120.8168186034076230.591590698296188
520.3647851822017540.7295703644035080.635214817798246
530.420050683447660.8401013668953210.579949316552339
540.3552435851301470.7104871702602950.644756414869853
550.2869214187748960.5738428375497910.713078581225104
560.4564493189299560.9128986378599120.543550681070044
570.6200007574890950.7599984850218090.379999242510905
580.566353200896470.8672935982070590.43364679910353
590.5916972983298670.8166054033402670.408302701670134
600.5172880095689940.9654239808620110.482711990431005
610.5256548214991650.948690357001670.474345178500835
620.4776844387853780.9553688775707560.522315561214622
630.4226375203181530.8452750406363060.577362479681847
640.331633550342030.663267100684060.66836644965797
650.2481255944918840.4962511889837670.751874405508116
660.249825466462270.4996509329245410.75017453353773
670.1692837997473810.3385675994947620.830716200252619
680.3546249226166640.7092498452333280.645375077383336
690.4078552786975370.8157105573950730.592144721302463
700.3435960788560170.6871921577120340.656403921143983


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