Multiple Linear Regression - Estimated Regression Equation
CVI[t] = + 0.112887779893211 + 26.0887388895069Maand[t] + 0.250165293372729Econ.Sit.[t] -0.253625189537363Werkloos[t] + 0.283963060245982Fin.Sit.[t] + 0.221586511866371`Spaarverm. `[t] -0.00248839513129872t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)0.1128877798932110.1302510.86670.3899430.194971
Maand26.088738889506910.2734892.53940.0140160.007008
Econ.Sit.0.2501652933727290.00952226.272600
Werkloos-0.2536251895373630.001967-128.952100
Fin.Sit.0.2839630602459820.0393387.218500
`Spaarverm. `0.2215865118663710.01449815.284100
t-0.002488395131298720.004826-0.51560.6082160.304108


Multiple Linear Regression - Regression Statistics
Multiple R0.999268451452004
R-squared0.998537438067286
Adjusted R-squared0.998374931185873
F-TEST (value)6144.58556700532
F-TEST (DF numerator)6
F-TEST (DF denominator)54
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.298237209437717
Sum Squared Residuals4.80305338703263


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
10-0.2670627384712580.267062738471258
2-2-2.531741362346590.531741362346592
3-4-4.017512059619980.0175120596199833
4-4-3.99477081435981-0.00522918564018951
5-7-6.70379337870002-0.29620662129998
6-9-9.369331854014170.369331854014165
7-13-12.8646374522423-0.135362547757653
8-8-7.92472151129115-0.0752784887088516
9-13-12.5951221585565-0.404877841443459
10-15-15.10452842667130.104528426671263
11-15-14.6630201953003-0.336979804699709
12-15-15.19875418096880.198754180968771
13-10-9.81512895108416-0.184871048915843
14-12-11.4064250320034-0.593574967996582
15-11-11.22331361653410.223313616534104
16-11-11.19018918325420.190189183254206
17-17-17.48295739677920.482957396779183
18-18-17.6692156178298-0.330784382170161
19-19-19.51800922927890.518009229278944
20-22-21.5188361257189-0.481163874281108
21-24-24.20189240510510.201892405105070
22-24-24.12466875358510.124668753585052
23-20-20.18855598824240.188555988242437
24-25-24.7376144947333-0.262385505266719
25-22-21.6747723150419-0.325227684958059
26-17-17.23361858046170.233618580461749
27-9-8.66074137233554-0.339258627664461
28-11-11.27555450785260.275554507852613
29-13-13.10434246584440.104342465844365
30-11-11.10942186843380.109421868433836
31-9-8.7737180312451-0.226281968754900
32-7-7.098131157986080.0981311579860777
33-3-3.119220234793830.119220234793828
34-3-3.223265415651640.223265415651644
35-6-5.91046900338362-0.089530996616384
36-4-4.041874748891460.0418747488914551
37-8-7.50670720829633-0.493292791703674
38-1-0.866744910674749-0.133255089325251
39-2-1.84690322662507-0.153096773374927
40-2-2.379938815121270.379938815121274
41-1-0.85774135905496-0.142258640945040
4211.35366702850198-0.353667028501977
4321.843748072042150.156251927957854
4421.853922651816420.146077348183579
45-1-0.62475164913857-0.37524835086143
4610.9300931332536540.069906866746346
47-1-0.972088642562461-0.0279113574375386
48-8-8.042193597551180.0421935975511818
4910.7381378208915220.261862179108478
5022.35221991790006-0.352219917900064
51-2-1.7434524848397-0.256547515160301
52-2-1.63926210213684-0.360737897863158
53-2-2.001591808589460.00159180858946454
54-2-2.271932751929730.27193275192973
55-6-5.72824882259733-0.271751177402674
56-4-3.72026903362548-0.279730966374522
57-5-5.429246576590960.429246576590963
58-2-2.352626896986650.352626896986646
59-1-0.997512943741537-0.00248705625846306
60-5-5.129812044128660.129812044128662
61-9-9.42383112160230.423831121602302


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
100.1723910222800150.344782044560030.827608977719985
110.4780337533666050.956067506733210.521966246633395
120.3487327650772110.6974655301544220.651267234922789
130.3673472134681270.7346944269362540.632652786531873
140.6013205597484230.7973588805031530.398679440251577
150.6216599729831070.7566800540337860.378340027016893
160.5560448626980560.8879102746038880.443955137301944
170.6633983788838330.6732032422323340.336601621116167
180.5899097855249310.8201804289501370.410090214475069
190.8999769936144950.2000460127710110.100023006385506
200.947047474826440.1059050503471200.0529525251735599
210.9248762408313860.1502475183372290.0751237591686143
220.8907124952425810.2185750095148380.109287504757419
230.8684296931306180.2631406137387650.131570306869382
240.9063305406139050.1873389187721900.0936694593860952
250.9445509718139360.1108980563721290.0554490281860645
260.9174430641404080.1651138717191840.0825569358595918
270.9262598205150120.1474803589699760.0737401794849882
280.9201611832425290.1596776335149430.0798388167574714
290.8881139195366460.2237721609267080.111886080463354
300.8692851310979110.2614297378041780.130714868902089
310.8348073699438650.3303852601122710.165192630056136
320.790317837065580.4193643258688380.209682162934419
330.7722712101465670.4554575797068660.227728789853433
340.7477385145638610.5045229708722780.252261485436139
350.6979636699468690.6040726601062610.302036330053131
360.6741675039464570.6516649921070860.325832496053543
370.7241073704979690.5517852590040620.275892629502031
380.6459265658470620.7081468683058760.354073434152938
390.5926226637635860.8147546724728290.407377336236414
400.8482854241247170.3034291517505650.151714575875283
410.7985029264161810.4029941471676380.201497073583819
420.7620171693104010.4759656613791980.237982830689599
430.8023370568067060.3953258863865880.197662943193294
440.757498255169230.4850034896615420.242501744830771
450.6831798841817210.6336402316365590.316820115818279
460.7661982840069760.4676034319860480.233801715993024
470.6722209753852350.655558049229530.327779024614765
480.5977943029161770.8044113941676470.402205697083823
490.5394246486778480.9211507026443050.460575351322152
500.4662664286646130.9325328573292270.533733571335387
510.4892698163323150.978539632664630.510730183667685


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