Multiple Linear Regression - Estimated Regression Equation
Omzet_product[t] = -480.616464653968 + 0.533659564985191tijd[t] -0.000135648760935616Uitgaven_voor_promotie[t] -0.647651480072136Prijs_product[t] + 0.450211575231433Gem_budget[t] + 0.019622941502175Index_cons_vertrouwen[t] -0.00826729887996955uitgave_lok_prom[t] + e[t]


Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.D.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
(Intercept)-480.6164646539681248.06171-0.38510.7037090.351854
tijd0.5336595649851910.6319240.84450.4070890.203544
Uitgaven_voor_promotie-0.0001356487609356160.000192-0.70650.4869920.243496
Prijs_product-0.6476514800721360.191151-3.38820.002530.001265
Gem_budget0.4502115752314330.0003951139.747200
Index_cons_vertrouwen0.0196229415021750.0844960.23220.8184090.409205
uitgave_lok_prom-0.008267298879969550.008993-0.91930.3674740.183737


Multiple Linear Regression - Regression Statistics
Multiple R0.999992562355233
R-squared0.999985124765785
Adjusted R-squared0.999981244269903
F-TEST (value)257695.19029221
F-TEST (DF numerator)6
F-TEST (DF denominator)23
p-value0
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation28.6248261545835
Sum Squared Residuals18845.755464743


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
13390733897.35967774059.64032225952197
23598135998.911699792-17.9116997919551
33658836585.41198801032.58801198973783
41696716924.979374836842.0206251632284
52533325308.872439595224.1275604047584
62102721003.746381770423.2536182296448
72111421165.3582248238-51.3582248237759
82877728751.288607467825.7113925322468
93561235593.536932321118.4630676788975
102418324168.649300003714.3506999962521
112226222261.50083511820.499164881835331
122063720657.0192591705-20.0192591705462
132994830001.9668628494-53.9668628493767
142209322111.8940516498-18.8940516497631
153699736981.408961471615.5910385284067
163108931108.0939613519-19.0939613519112
171947719455.469473639321.5305263606555
183130131341.7415776267-40.7415776266614
191849718495.59660697991.40339302008012
203014230157.0786648927-15.0786648926767
212132621348.7069476537-22.7069476537023
221677916793.0404714474-14.0404714473812
233806838071.2495266592-3.24952665924091
242970729726.1715794707-19.1715794707365
253501635014.77322715731.22677284270569
262613126104.526007852426.4739921475894
272925129218.019775876332.9802241236639
282285522862.5044290525-7.50442905250083
293180631759.973923373146.0260766269473
303412434126.1492303459-2.14923034594396


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
100.5917992218672640.8164015562654720.408200778132736
110.566683106762130.866633786475740.43331689323787
120.4249090059508180.8498180119016350.575090994049182
130.8903655892688080.2192688214623840.109634410731192
140.8149309667784290.3701380664431430.185069033221571
150.8395965853274250.3208068293451510.160403414672575
160.8194142233143940.3611715533712120.180585776685606
170.8995580683551430.2008838632897150.100441931644857
180.8432448283741680.3135103432516630.156755171625832
190.7646989626292260.4706020747415480.235301037370774
200.5929372335953810.8141255328092390.407062766404619


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