Multiple Linear Regression - Estimated Regression Equation
Consumer_confidence_indicator[t] = + 0.12816295679344 + 0.251518670261465General_economic_situation[t] -0.253748943867737Unemployment_in_Belgium[t] + 0.268260092753402Financial_situation_of_households[t] + 0.227502266007022`Saving_capacity_of_households\r`[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)0.128162956793440.0908481.41070.163950.081975
General_economic_situation0.2515186702614650.00605741.52800
Unemployment_in_Belgium-0.2537489438677370.001736-146.164300
Financial_situation_of_households0.2682600927534020.0302238.87600
`Saving_capacity_of_households\r`0.2275022660070220.01605614.169700


Multiple Linear Regression - Regression Statistics
Multiple R0.999093894950613
R-squared0.998188610927587
Adjusted R-squared0.998056873540502
F-TEST (value)7577.10952841914
F-TEST (DF numerator)4
F-TEST (DF denominator)55
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation0.302202572276616
Sum Squared Residuals5.02295170798318


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
1-4-3.97487580097215-0.0251241990278537
2-6-6.204438012758420.204438012758422
3-3-3.352340600120690.352340600120689
4-3-3.146585650122490.146585650122493
5-7-7.116677350392780.116677350392779
6-9-8.75702276126514-0.242977238734857
7-11-11.03516312786460.0351631278646495
8-13-13.05568823807710.0556882380771122
9-11-11.24647939143360.246479391433623
10-9-8.61440600335473-0.385593996645266
11-17-17.1502549513030.150254951303007
12-22-21.6244847584545-0.375515241545544
13-25-24.6772924129341-0.322707587065853
14-20-20.50931497912140.509314979121408
15-24-24.23793861080340.23793861080335
16-24-24.24294450432020.24294450432024
17-22-21.581467917212-0.418532082787998
18-19-19.5816382450390.581638245039021
19-18-17.6873406306132-0.312659369386756
20-17-17.45310872914810.45310872914806
21-11-11.16912472904880.169124729048775
22-11-11.19314113330320.193141133303219
23-12-11.4111769585808-0.58882304141919
24-10-9.82555517703615-0.174444822963854
25-15-15.18724923782790.187249237827948
26-15-15.00777978032980.00777978032981206
27-15-15.22577679096810.225776790968057
28-13-12.6922025531989-0.307797446801113
29-8-8.006869815913680.00686981591368306
30-13-12.8929027212913-0.107097278708693
31-9-9.394595790166350.394595790166349
32-7-6.73197962206053-0.268020377939469
33-4-4.011660945030720.0116609450307205
34-4-4.028986528466350.0289865284663499
35-2-2.556210601070740.556210601070742
360-0.271885945317420.27188594531742
37-2-1.81225053826381-0.187749461736185
38-3-3.067613615964870.0676136159648697
3911.27403996119975-0.274039961199751
40-2-2.479690767345330.479690767345327
41-1-1.19084484466040.190844844660397
4210.8402762135295340.159723786470466
43-3-2.50257766435173-0.497422335648268
44-4-4.174963067231070.174963067231068
45-9-8.63358095913862-0.366419040861382
46-9-8.58534489094406-0.414655109055944
47-7-6.56818963533545-0.431810364664554
48-14-13.8911858151601-0.10881418483988
49-12-11.8220437354951-0.177956264504921
50-16-16.28402140825690.284021408256939
51-20-19.6955647180472-0.304435281952775
52-12-12.06128153047710.0612815304771498
53-12-11.7974819849363-0.20251801506371
54-10-10.12399581569870.123995815698721
55-10-9.82389899062402-0.176101009375976
56-13-12.9752057954134-0.0247942045865637
57-16-15.7982809102798-0.201719089720166
58-14-13.8207827150594-0.17921728494063
59-17-16.705856441016-0.294143558984026
60-24-24.44309932610830.443099326108313


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
80.1496283855146820.2992567710293640.850371614485318
90.1735901792435740.3471803584871490.826409820756426
100.1141097525902120.2282195051804250.885890247409788
110.06867673774046190.1373534754809240.931323262259538
120.164393279175790.3287865583515810.83560672082421
130.1092356533553720.2184713067107440.890764346644628
140.5114417944996440.9771164110007120.488558205500356
150.4740193405224650.948038681044930.525980659477535
160.4110265475912740.8220530951825480.588973452408726
170.5666005916265780.8667988167468450.433399408373422
180.7207823183776780.5584353632446440.279217681622322
190.7730937862400190.4538124275199630.226906213759981
200.7879055632689760.4241888734620490.212094436731025
210.734408222250710.5311835554985790.26559177774929
220.6733137066193320.6533725867613360.326686293380668
230.8543387779089220.2913224441821560.145661222091078
240.8249144939122680.3501710121754650.175085506087732
250.7861144449926580.4277711100146850.213885555007342
260.7217359940843330.5565280118313350.278264005915667
270.687241572155340.625516855689320.31275842784466
280.676071559601550.64785688079690.32392844039845
290.6012533306487250.7974933387025510.398746669351275
300.5348521577524540.9302956844950920.465147842247546
310.5910499477035320.8179001045929370.408950052296468
320.5801244933637240.8397510132725520.419875506636276
330.4991325402486310.9982650804972620.500867459751369
340.4184319270506330.8368638541012650.581568072949367
350.6680604999308740.6638790001382530.331939500069126
360.7277969747675250.5444060504649510.272203025232475
370.6775000789940730.6449998420118540.322499921005927
380.6324269711479760.7351460577040490.367573028852024
390.5804452960545020.8391094078909950.419554703945498
400.6940979123485240.6118041753029530.305902087651476
410.7133520589086040.5732958821827930.286647941091397
420.8173813323397320.3652373353205370.182618667660268
430.825804545636520.3483909087269610.17419545436348
440.8680417031700710.2639165936598580.131958296829929
450.8626111732383410.2747776535233170.137388826761659
460.8453656650078440.3092686699843120.154634334992156
470.8211064397971460.3577871204057070.178893560202854
480.7865497448339480.4269005103321040.213450255166052
490.6885257857940730.6229484284118540.311474214205927
500.5815393834508710.8369212330982570.418460616549129
510.9693549229083540.06129015418329230.0306450770916462
520.9118043509103610.1763912981792770.0881956490896387


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 level10.0222222222222222OK