Multiple Linear Regression - Estimated Regression Equation
O-Totaal[t] = + 0.137220054817536 + 0.999903412773738`O-InbrengInContanten`[t] + 1.0000549069098`O-InbrengInNatura`[t] + 0.999875971355442`O-TeStortenBedrag`[t] -0.0106768387025519`KH-Totaal`[t] + 0.0106713694464462`KH-InbrengInContanten`[t] + 0.0106901657398105`KH-InbrengInNatura`[t] + 0.0105392359156959`KH-TeStortenBedrag`[t] + 0.0106840760155234`KH-ConversieVanEigenMiddelen`[t] + 0.0106505363785584`KH-Schuldconversie`[t] + 0.0106983051187204`KH-Uitgiftepremies`[t] + 0.0924724690751978`KV-Totaal`[t] -0.0924805201942237`KV-TerugbetalingAanDeAandeelhouders`[t] -0.0924749298987029`KV-AanzuiveringVanVerliezen`[t] -0.092505989284591`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)0.1372200548175360.1060131.29440.1994560.099728
`O-InbrengInContanten`0.9999034127737380.0002933415.413500
`O-InbrengInNatura`1.00005490690989.6e-0510386.386900
`O-TeStortenBedrag`0.9998759713554420.000452222.814300
`KH-Totaal`-0.01067683870255190.091457-0.11670.9073730.453686
`KH-InbrengInContanten`0.01067136944644620.0914540.11670.9074170.453709
`KH-InbrengInNatura`0.01069016573981050.0914550.11690.9072560.453628
`KH-TeStortenBedrag`0.01053923591569590.091460.11520.9085640.454282
`KH-ConversieVanEigenMiddelen`0.01068407601552340.0914630.11680.9073160.453658
`KH-Schuldconversie`0.01065053637855840.0914570.11650.90760.4538
`KH-Uitgiftepremies`0.01069830511872040.0914650.1170.9071950.453598
`KV-Totaal`0.09247246907519780.123290.750.4555440.227772
`KV-TerugbetalingAanDeAandeelhouders`-0.09248052019422370.12329-0.75010.4555060.227753
`KV-AanzuiveringVanVerliezen`-0.09247492989870290.123291-0.75010.4555370.227769
`KV-Andere`-0.0925059892845910.123292-0.75030.455390.227695


Multiple Linear Regression - Regression Statistics
Multiple R0.999999925855166
R-squared0.999999851710337
Adjusted R-squared0.99999982439382
F-TEST (value)36607882.9336255
F-TEST (DF numerator)14
F-TEST (DF denominator)76
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.639164625128585
Sum Squared Residuals31.0483877691981


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1175175.173238280556-0.173238280556442
2357356.1055906757470.894409324253349
3107107.201126237743-0.201126237742722
4310311.132524255604-1.13252425560452
5116115.1844282154770.815571784522731
6376374.8929859289761.10701407102364
7230230.01549340805-0.0154934080501939
85454.1271632048273-0.127163204827325
9194194.098846382175-0.0988463821751275
10171171.967612394438-0.967612394438396
11311311.194074264306-0.194074264305549
12290288.89125663331.10874336670041
1344354434.820941851960.179058148043768
14440440.129884678232-0.129884678232336
1514301430.04843816666-0.0484381666585048
16820820.222723799499-0.222723799499125
17223223.105353250618-0.105353250618012
18426425.9938253769680.00617462303210115
1916931693.19990322661-0.199903226607016
2020682067.22528257070.774717429299946
21832831.0980465646360.901953435364089
22416415.0931112563560.906888743644411
23372372.088652670991-0.0886526709910966
2452665266.25563284847-0.255632848467777
25633633.0384520226-0.0384520225995733
26191190.2134120091450.786587990854672
27337336.1350765826140.864923417386264
28280280.088524254792-0.0885242547915626
29619619.093378687552-0.0933786875518276
3024232423.01120196234-0.0112019623428069
31538537.5727848286060.427215171394412
32294292.9989252971941.00107470280623
33430430.04182030469-0.0418203046904574
34737738.077121982734-1.07712198273434
35541541.207170205654-0.207170205654353
3612141213.363311860060.636688139942926
37929928.927332853530.0726671464696878
3812881288.14666516286-0.146665162862255
39321321.034744662243-0.0347446622434284
4019121911.203187168930.796812831065523
41146146.060377007996-0.0603770079964529
42357357.089561782149-0.0895617821488086
43473473.090023439329-0.0900234393294607
44153152.8903847668380.109615233162023
45681681.919606800379-0.919606800378562
46337337.043422546885-0.0434225468847625
47433433.08671313589-0.0867131358901815
48751751.891647453485-0.891647453484593
49655656.12984077612-1.1298407761197
50233232.1393494300120.860650569988191
51118118.017362544454-0.0173625444538151
52146146.126287120003-0.126287120002863
53365366.106714730826-1.1067147308262
54653652.9482587925890.051741207410638
55434432.8954206026171.10457939738253
56231230.1968063570770.80319364292274
57123123.031113784844-0.0311137848437668
58259258.9795476442410.0204523557592323
599897.08262040401430.917379595985669
6021072106.969095197030.0309048029716968
61715714.100791610230.899208389770099
62136136.077067714654-0.0770677146536877
63180181.144940504846-1.14494050484568
64172173.101318964143-1.10131896414256
65170169.9458436372580.0541563627415037
66380381.10465231655-1.1046523165495
67813812.9404167985790.0595832014213218
68708708.266376814102-0.266376814101867
69193194.173048315387-1.17304831538661
70248248.076517862253-0.0765178622532203
71725725.052564048561-0.0525640485613419
721300713007.1804343528-0.180434352750649
73976975.253004285110.746995714889879
74185184.9478239848380.05217601516232
75234235.110456926475-1.11045692647529
76185185.108835051751-0.108835051750847
77217217.140452124728-0.140452124727829
78802802.086749869207-0.0867498692068789
79705704.5494403094910.450559690509203
80304303.071416418370.928583581630279
81395395.882366528268-0.882366528268366
82439439.091837752413-0.0918377524130363
83321320.9309956234140.0690043765861102
8410151015.06028291222-0.0602829122183546
85340340.141137112941-0.141137112941032
86372371.9910061400580.00899385994243839
8717721771.947922966520.0520770334777027
88163163.166158604895-0.166158604895101
89197197.100397306381-0.100397306380828
90610610.100694550959-0.100694550958798
91313313.041648287432-0.0416482874323504


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
180.1010588195196830.2021176390393650.898941180480317
190.4732877427409220.9465754854818430.526712257259078
200.6116410433655290.7767179132689420.388358956634471
210.5102307776268580.9795384447462840.489769222373142
220.5731970945918240.8536058108163510.426802905408176
230.5911342738518820.8177314522962370.408865726148118
240.4885063282862230.9770126565724460.511493671713777
250.4573722234094110.9147444468188210.542627776590589
260.7268334685178420.5463330629643150.273166531482158
270.7236027795965660.5527944408068680.276397220403434
280.6455089926255210.7089820147489580.354491007374479
290.5646205910405720.8707588179188570.435379408959428
300.6431624749909410.7136750500181170.356837525009059
310.6667726642018330.6664546715963350.333227335798167
320.7170669053638240.5658661892723530.282933094636176
330.6527169112489420.6945661775021150.347283088751058
340.7665967390740180.4668065218519650.233403260925982
350.7070110428712290.5859779142575410.292988957128771
360.6610638967701560.6778722064596880.338936103229844
370.6347759209126050.730448158174790.365224079087395
380.5658731813223650.868253637355270.434126818677635
390.4935692610217010.9871385220434020.506430738978299
400.5496217060484460.9007565879031070.450378293951554
410.4782062581955370.9564125163910750.521793741804462
420.4567760875448340.9135521750896680.543223912455166
430.3994448631571690.7988897263143370.600555136842831
440.3468138388031470.6936276776062940.653186161196853
450.4050862609344960.8101725218689920.594913739065504
460.3393616119729880.6787232239459770.660638388027012
470.2793610771351610.5587221542703220.720638922864839
480.337741329871380.6754826597427590.66225867012862
490.4486982142805310.8973964285610610.55130178571947
500.5146781044379010.9706437911241990.485321895562099
510.4412824740161760.8825649480323520.558717525983824
520.3881720112022920.7763440224045830.611827988797708
530.4758416810468740.9516833620937470.524158318953126
540.421322131186780.8426442623735610.578677868813219
550.4984817285869290.9969634571738580.501518271413071
560.6187587929457190.7624824141085620.381241207054281
570.5566733107426340.8866533785147320.443326689257366
580.4769896751487920.9539793502975840.523010324851208
590.5929669009337980.8140661981324030.407033099066202
600.5430198979597130.9139602040805740.456980102040287
610.7666392647625780.4667214704748440.233360735237422
620.7878702570931440.4242594858137120.212129742906856
630.8941015422443640.2117969155112730.105898457755636
640.9002586282038020.1994827435923970.0997413717961984
650.8739611575993720.2520776848012550.126038842400628
660.8340985054470620.3318029891058750.165901494552938
670.8152911966053280.3694176067893440.184708803394672
680.7334315703447590.5331368593104820.266568429655241
690.7361165188969380.5277669622061250.263883481103062
700.6221275737838230.7557448524323540.377872426216177
710.4961315997339210.9922631994678410.503868400266079
720.5610496499027570.8779007001944850.438950350097243
730.4090641410741020.8181282821482040.590935858925898


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