Multiple Linear Regression - Estimated Regression Equation
ALGEMENEECONOMISCHSITUATIE[t] = -0.23850311485394 + 3.67658759515122CONSUMENTENVERTROUWEN[t] + 0.93126921464805`WERKLOOSHEIDINBELGIË`[t] -0.753614192485316`FINANCIËLESITUATIEVANDEGEZINNEN`[t] -0.821393675927843SPAARVERMOGENVANDEGEZINNEN[t] -0.0264087506488414t + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-0.238503114853940.380648-0.62660.5330690.266535
CONSUMENTENVERTROUWEN3.676587595151220.10501835.009200
`WERKLOOSHEIDINBELGIË`0.931269214648050.02635435.336800
`FINANCIËLESITUATIEVANDEGEZINNEN`-0.7536141924853160.145882-5.16592e-061e-06
SPAARVERMOGENVANDEGEZINNEN-0.8213936759278430.055351-14.839700
t-0.02640875064884140.011089-2.38160.0200860.010043


Multiple Linear Regression - Regression Statistics
Multiple R0.993270672110762
R-squared0.986586628075364
Adjusted R-squared0.985585630170541
F-TEST (value)985.603089997735
F-TEST (DF numerator)5
F-TEST (DF denominator)67
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation1.17731800509428
Sum Squared Residuals92.8672049029844


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1-20-19.168399113103-0.831600886896995
2-8-8.537555202781560.537555202781556
3-15-15.45105551213040.451055512130416
4-13-13.56266092859680.562660928596787
5-6-5.29812147062017-0.701878529379832
60-1.962054663722271.96205466372227
755.51316775465465-0.513167754654651
8-1-0.181532779163275-0.818467220836725
9-5-3.30856995464076-1.69143004535924
1043.434946057970270.565053942029726
11-3-2.51808599329117-0.481914006708831
1232.063362065859260.936637934140736
1388.81416933519029-0.814169335190291
1435.44719281371414-2.44719281371414
1532.970287500165060.0297124998349408
1676.559080069388210.440919930611791
1742.445780612146741.55421938785326
18-4-2.23435664502447-1.76564335497553
19-6-6.47682186098770.476821860987702
2087.536575279927110.463424720072886
2120.851836822899791.14816317710021
22-1-0.474048198560825-0.525951801439175
23-2-1.96558927890262-0.0344107210973821
2400.472182998232069-0.472182998232069
25108.830185367816061.16981463218394
2630.8489588283773372.15104117162266
2766.00636605785035-0.00636605785035383
2876.801350983129350.198649016870647
29-4-3.10940601600296-0.890593983997044
30-5-6.169561756594611.16956175659461
31-7-4.83432050810741-2.16567949189259
32-10-11.80920709273561.80920709273556
33-21-20.2135231599423-0.786476840057722
34-22-20.7060155421935-1.29398445780651
35-16-13.9002152057465-2.09978479425347
36-25-26.33915707465951.33915707465947
37-22-23.53957094952441.53957094952437
38-22-21.7939159940841-0.206084005915903
39-19-19.72944129447780.729441294477777
40-21-19.8520411189635-1.14795888103646
41-31-30.2708672094642-0.729132790535761
42-28-28.06563242609660.0656324260965574
43-23-23.53357167894380.533571678943797
44-17-16.7561829328912-0.243817067108774
45-12-11.9905760479031-0.00942395209690235
46-14-12.4152889467118-1.58471105328821
47-18-17.3756655080459-0.624334491954053
48-16-15.8828469104426-0.117153089557399
49-22-23.67273396283531.6727339628353
50-9-9.58882917624840.588829176248403
51-10-10.32036285594160.320362855941588
52-10-8.66188819945706-1.33811180054294
530-1.108977474199741.10897747419974
5431.137455315888921.86254468411108
5522.3912326160503-0.391232616050301
5644.27962719958395-0.279627199583949
57-3-4.322532158343751.32253215834375
5800.497957198248652-0.497957198248652
59-10.306679841763666-1.30667984176367
60-7-6.9660167488678-0.033983251132199
6122.73094038008777-0.730940380087767
6231.342881630302881.65711836969712
63-3-4.720025959678761.72002595967876
64-5-6.363538634018441.36353863401844
650-0.4727054806183620.472705480618362
66-3-2.2517771218431-0.748222878156903
67-7-8.466656305822641.46665630582263
68-7-7.905106922867340.905106922867338
69-7-5.19909430485126-1.80090569514874
70-4-2.28963264099594-1.71036735900406
71-3-1.92502850020492-1.07497149979508
72-6-5.87996315528521-0.120036844714789
73-10-8.74148815211085-1.25851184788915


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
90.8285979016421470.3428041967157050.171402098357853
100.7326424976550820.5347150046898360.267357502344918
110.6107225845671370.7785548308657260.389277415432863
120.5710735419143140.8578529161713720.428926458085686
130.5528078264115040.8943843471769920.447192173588496
140.6945693700023520.6108612599952970.305430629997648
150.6938616061287220.6122767877425550.306138393871278
160.6593129043756560.6813741912486890.340687095624344
170.673711027759850.6525779444802990.32628897224015
180.727085219819460.545829560361080.27291478018054
190.667956938802960.664086122394080.33204306119704
200.5853462312703980.8293075374592030.414653768729602
210.538353679043650.92329264191270.46164632095635
220.5104875786922730.9790248426154530.489512421307727
230.4318968818183760.8637937636367530.568103118181624
240.3833544222820750.7667088445641490.616645577717925
250.3421605473467690.6843210946935380.657839452653231
260.4709348378866540.9418696757733090.529065162113346
270.3942483226801320.7884966453602640.605751677319868
280.3236436621852070.6472873243704140.676356337814793
290.2939306272825890.5878612545651790.706069372717411
300.2727157044620230.5454314089240450.727284295537977
310.4950285830472640.9900571660945280.504971416952736
320.6395807172276730.7208385655446540.360419282772327
330.5764520231218150.847095953756370.423547976878185
340.5373167349277740.9253665301444520.462683265072226
350.6522754904687870.6954490190624260.347724509531213
360.721397241111280.5572055177774410.27860275888872
370.8124649240207870.3750701519584260.187535075979213
380.7625536076889650.474892784622070.237446392311035
390.7285583018631950.542883396273610.271441698136805
400.7075081463707080.5849837072585850.292491853629292
410.6654428617401250.6691142765197510.334557138259875
420.6209322538192910.7581354923614180.379067746180709
430.5556638506805450.8886722986389110.444336149319455
440.4860388314617160.9720776629234330.513961168538284
450.4191092999027790.8382185998055590.580890700097221
460.4641804322557270.9283608645114540.535819567744273
470.4994930793029980.9989861586059950.500506920697002
480.5058325253721610.9883349492556770.494167474627839
490.4902885513640080.9805771027280170.509711448635992
500.4319237795079390.8638475590158790.568076220492061
510.3563083233846190.7126166467692390.643691676615381
520.9174290230130080.1651419539739850.0825709769869924
530.8938881858796880.2122236282406240.106111814120312
540.8952576331243450.209484733751310.104742366875655
550.8752700748142460.2494598503715080.124729925185754
560.8217117152037120.3565765695925750.178288284796288
570.7806248930305440.4387502139389130.219375106969456
580.8495621152432530.3008757695134930.150437884756747
590.8455170442550440.3089659114899120.154482955744956
600.7709744698990950.458051060201810.229025530100905
610.7066766744479860.5866466511040280.293323325552014
620.7721896200513230.4556207598973550.227810379948677
630.6837327963224610.6325344073550790.316267203677539
640.5382841899046850.923431620190630.461715810095315


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