Multiple Linear Regression - Estimated Regression Equation
Saving_capacity_of_households [t] = + 0.102921236933438 + 3.45038939648647Consumer_confidence_indicator[t] -0.863504206283945General_economic_situation[t] + 0.876633189743982Unemployment_in_Belgium[t] -0.747764331365903Financial_situation_of_households[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)0.1029212369334380.3598740.2860.7759580.387979
Consumer_confidence_indicator3.450389396486470.24350514.169700
General_economic_situation-0.8635042062839450.066662-12.953500
Unemployment_in_Belgium0.8766331897439820.06187514.167700
Financial_situation_of_households-0.7477643313659030.153398-4.87471e-055e-06


Multiple Linear Regression - Regression Statistics
Multiple R0.937814941942371
R-squared0.879496865330372
Adjusted R-squared0.870733000990763
F-TEST (value)100.354915508605
F-TEST (DF numerator)4
F-TEST (DF denominator)55
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation1.17689941914075
Sum Squared Residuals76.1800733525611


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
132.747330520762620.252669479237381
200.822355182577337-0.822355182577337
3-11.09304760408336-2.09304760408336
4-1-0.14393419387479-0.85606580612521
5-4-2.61490523044911-1.38509476955089
610.04850716300153010.95149283699847
7-1-1.296959652576040.296959652576042
80-0.08968897147710190.0896889714771019
9-10.187051854900514-1.18705185490051
1063.865293572573762.13470642742624
1100.12417647124297-0.12417647124297
12-3-3.849403806651590.849403806651591
13-3-3.849229527941420.849229527941418
1445.27002184170378-1.27002184170378
1511.78041977354738-0.780419773547376
1600.659177850507271-0.659177850507271
17-4-4.181882619740890.181882619740894
18-21.2066110983909-3.2066110983909
1932.053358892565510.946641107434494
2023.37700431788981-1.37700431788981
2155.32443591563569-0.32443591563569
2266.18794012191963-0.187940121919635
2363.832534681553192.16746531844681
2432.935517651050550.0644823489494467
2544.58047329162927-0.580473291629271
2676.307481704197160.692518295802839
2755.31510863953514-0.315108639535135
2864.623313391948511.37668660805149
2911.79147091102951-0.791470911029514
3032.378408569646020.621591430353983
3166.82099675208434-0.82099675208434
320-0.3281924815442130.328192481544213
3333.17816599872154-0.178165998721541
3444.00228325462538-0.00228325462537765
3578.53090019512254-1.53090019512254
3666.60212314957776-0.602123149577762
3764.637760861012371.36223913898763
3865.491763512485590.508236487514413
3964.869066332138281.13093366786172
4023.39835808683194-1.39835808683194
4122.77583518519481-0.775835185194805
4222.87119121935419-0.871191219354192
4331.019115655767711.98088434423229
44-1-0.00901693062512143-0.990983069374879
45-4-4.074500092739940.0745000927399349
4642.035674268547871.96432573145213
4753.149661334289361.85033866571064
4832.121877305316880.878122694683121
49-1-1.752258919171830.752258919171831
50-4-2.56186646047843-1.43813353952157
510-1.628915629534821.62891562953482
52-1-0.746756871049769-0.253243128950231
53-1-1.46826323549560.468263235495599
5432.789487004785370.210512995214635
5521.346474275893710.653525724106294
56-4-3.02338841065599-0.976611589344008
57-3-3.036343115405850.0363431154058536
58-1-1.39536346089680.395363460896799
5931.337321278503331.66267872149667
60-2-0.438227081835049-1.56177291816495


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
80.3694066581573680.7388133163147370.630593341842632
90.3900342098374260.7800684196748520.609965790162574
100.4764015713664930.9528031427329860.523598428633507
110.3882404750082870.7764809500165730.611759524991713
120.4408645488963380.8817290977926760.559135451103662
130.3363705114556790.6727410229113580.663629488544321
140.5614090345562450.877181930887510.438590965443755
150.5332272181274560.9335455637450890.466772781872544
160.4482984904271390.8965969808542770.551701509572861
170.4078325170006970.8156650340013930.592167482999304
180.7106922138250230.5786155723499540.289307786174977
190.8422934782350260.3154130435299470.157706521764974
200.8073918388077810.3852163223844390.192608161192219
210.7946240315251750.410751936949650.205375968474825
220.7513478838000640.4973042323998730.248652116199936
230.8977435587219020.2045128825561960.102256441278098
240.8585742772179550.2828514455640890.141425722782045
250.820354774378080.3592904512438410.17964522562192
260.7820506724048680.4358986551902640.217949327595132
270.7230086501688870.5539826996622250.276991349831113
280.7368141613445580.5263716773108850.263185838655442
290.6887482013967320.6225035972065360.311251798603268
300.6371333181084630.7257333637830750.362866681891537
310.6039424506606010.7921150986787980.396057549339399
320.5359199681624170.9281600636751660.464080031837583
330.4561458092627720.9122916185255440.543854190737228
340.3782350795736530.7564701591473070.621764920426347
350.5057179695376630.9885640609246730.494282030462337
360.5178227496078950.9643545007842110.482177250392105
370.5140140330259310.9719719339481380.485985966974069
380.4408556640054370.8817113280108740.559144335994563
390.3894689989465910.7789379978931820.610531001053409
400.4212575606942140.8425151213884290.578742439305786
410.4248275128784020.8496550257568040.575172487121598
420.554434842843040.891130314313920.44556515715696
430.6026555697332470.7946888605335050.397344430266753
440.6836343623721180.6327312752557650.316365637627882
450.5873285360940020.8253429278119960.412671463905998
460.5834619285271010.8330761429457970.416538071472899
470.5683359101949620.8633281796100750.431664089805038
480.5604960683002710.8790078633994580.439503931699729
490.4447413909043990.8894827818087970.555258609095601
500.3770292578638030.7540585157276060.622970742136197
510.8644609215749290.2710781568501420.135539078425071
520.7377332763129530.5245334473740930.262266723687047


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