Multiple Linear Regression - Estimated Regression Equation
CVI[t] = + 0.0799791163793411 + 26.4477403759069Maand[t] + 0.253996016630743Econ.Sit.[t] -0.253388443883417Werkloos[t] + 0.27108634384964Fin.Sit.[t] + 0.219859137240139`Spaarverm. `[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)0.07997911637934110.1127820.70910.481230.240615
Maand26.447740375906910.1812342.59770.0120190.00601
Econ.Sit.0.2539960166307430.00591642.93300
Werkloos-0.2533884438834170.0019-133.385500
Fin.Sit.0.271086343849640.0301928.978900
`Spaarverm. `0.2198591372401390.01401115.691800


Multiple Linear Regression - Regression Statistics
Multiple R0.999264848251209
R-squared0.99853023695051
Adjusted R-squared0.99839662212783
F-TEST (value)7473.19958157405
F-TEST (DF numerator)5
F-TEST (DF denominator)55
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.296240131543268
Sum Squared Residuals4.8267018545225


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
10-0.2984431133008590.298443113300859
2-2-2.592904003471210.59290400347121
3-4-4.044972328156890.0449723281568858
4-4-4.001885437305250.00188543730525317
5-7-6.70080708127515-0.299192918724847
6-9-9.41551113924480.415511139244800
7-13-12.8831826833631-0.116817316636904
8-8-7.92303841420467-0.0769615857953326
9-13-12.6180411477377-0.381958852262333
10-15-15.10736850554330.107368505543285
11-15-14.6802609913144-0.319739008685614
12-15-15.20573821739660.205738217396625
13-10-9.80768515302496-0.192314846975036
14-12-11.4279499290903-0.57205007090969
15-11-11.20506282004770.205062820047663
16-11-11.16379509975600.16379509975597
17-17-17.45040771435170.450407714351686
18-18-17.6773166923808-0.322683307619162
19-19-19.52219530049940.522195300499415
20-22-21.502348738292-0.497651261707988
21-24-24.19282762064360.192827620643640
22-24-24.14329839246370.143298392463668
23-20-20.19791761864260.197917618642585
24-25-24.7211537203774-0.278846279622633
25-22-21.6590759231176-0.340924076882425
26-17-17.21146049308220.211460493082190
27-9-8.70404374622848-0.295956253771521
28-11-11.28608803575350.286088035753545
29-13-13.12751678504300.127516785043033
30-11-11.09292661733940.0929266173393619
31-9-8.78985434953824-0.210145650461761
32-7-7.081109175457370.0811091754573694
33-3-3.087125770751760.0871257707517571
34-3-3.233755720872120.233755720872118
35-6-5.89275734125917-0.107242658740825
36-4-4.050502553795640.0505025537956398
37-8-7.51679938761318-0.483200612386816
38-1-0.877642004194529-0.122357995805471
39-2-1.87103064462637-0.128969355373631
40-2-2.388367485488330.388367485488334
41-1-0.836968369924042-0.163031630075958
4211.3699904650592-0.3699904650592
4321.842612364442020.157387635557976
4421.875804591690110.124195408309894
45-1-0.624010506096923-0.375989493903077
4610.9306298783574390.0693701216425612
47-1-0.974636845616245-0.0253631543837553
48-8-8.043286940255410.0432869402554104
4910.7487990756447560.251200924355244
5022.36039337696585-0.360393376965846
51-2-1.71395521421972-0.286044785780283
52-2-1.63910374796901-0.360896252030986
53-2-1.98274378671843-0.0172562132815725
54-2-2.263950359923530.263950359923532
55-6-5.69927625795652-0.300723742043484
56-4-3.72022121447945-0.27977878552055
57-5-5.42305544951740.423055449517398
58-2-2.348060314818570.348060314818572
59-1-0.990494356211112-0.00950564378888785
60-5-5.118420380239060.118420380239059
61-9-9.395878112169050.395878112169048


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
90.1292799041681420.2585598083362840.870720095831858
100.2429129865576580.4858259731153170.757087013442342
110.4297804938667550.859560987733510.570219506133245
120.3542593858054920.7085187716109830.645740614194508
130.267098683751360.534197367502720.73290131624864
140.6909490245520890.6181019508958220.309050975447911
150.6056655386394050.788668922721190.394334461360595
160.5165057655891590.9669884688216820.483494234410841
170.6035310094018290.7929379811963420.396468990598171
180.5391863756354230.9216272487291540.460813624364577
190.8911739755423060.2176520489153870.108826024457694
200.938706133661780.1225877326764420.0612938663382212
210.9132126733234810.1735746533530380.0867873266765188
220.8751335214884870.2497329570230250.124866478511512
230.8587007524401590.2825984951196820.141299247559841
240.8927518353683440.2144963292633110.107248164631656
250.9414094738208120.1171810523583770.0585905261791884
260.9134488769957670.1731022460084650.0865511230042327
270.9359414367869370.1281171264261260.064058563213063
280.924395137211290.1512097255774200.0756048627887099
290.893979960297460.2120400794050790.106020039702540
300.8788837213418140.2422325573163710.121116278658186
310.8532084649170810.2935830701658380.146791535082919
320.8066901644122420.3866196711755160.193309835587758
330.7846888843309660.4306222313380680.215311115669034
340.7612216152736340.4775567694527320.238778384726366
350.712192829628570.575614340742860.28780717037143
360.6891620743979240.6216758512041520.310837925602076
370.753474248435460.493051503129080.24652575156454
380.6872677326699920.6254645346600160.312732267330008
390.6286099613282870.7427800773434250.371390038671713
400.873512116820930.2529757663581410.126487883179070
410.8342965344883330.3314069310233340.165703465511667
420.8183552014077050.363289597184590.181644798592295
430.8282121053410820.3435757893178360.171787894658918
440.7905870501930420.4188258996139170.209412949806958
450.7300814873651160.5398370252697680.269918512634884
460.7383014228776620.5233971542446760.261698577122338
470.6944621316761030.6110757366477940.305537868323897
480.6911541412631930.6176917174736130.308845858736807
490.6512629416292790.6974741167414430.348737058370721
500.601032507339960.7979349853200790.398967492660039
510.6147255327308040.7705489345383920.385274467269196
520.4771226585393950.954245317078790.522877341460605


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