Multiple Linear Regression - Estimated Regression Equation
Jaar[t] = + 1941.73074167 + 0.0563566777893992Omzet_product[t] -1.11837153621192e-05Uitgaven_voor_promotie[t] + 0.0678938598601972Prijs_product[t] -0.0252914328395057Gem_budget[t] + 0.0297361210531898Index_cons_vertrouwen[t] + 0.000770357985107064uitgave_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)1941.7307416740.35971248.110600
Omzet_product0.05635667778939920.0667340.84450.4070890.203544
Uitgaven_voor_promotie-1.11837153621192e-056.3e-05-0.17740.8607140.430357
Prijs_product0.06789385986019720.0747270.90860.3730050.186503
Gem_budget-0.02529143283950570.030048-0.84170.4086150.204308
Index_cons_vertrouwen0.02973612105318980.0267821.11030.2783470.139173
uitgave_lok_prom0.0007703579851070640.0029710.25930.7977350.398867


Multiple Linear Regression - Regression Statistics
Multiple R0.338359289691637
R-squared0.114487008920629
Adjusted R-squared-0.116516380056598
F-TEST (value)0.495607486225734
F-TEST (DF numerator)6
F-TEST (DF denominator)23
p-value0.804978518568233
Multiple Linear Regression - Residual Statistics
Residual Standard Deviation9.3021513347391
Sum Squared Residuals1990.19044745093


Multiple Linear Regression - Actuals, Interpolation, and Residuals
Time or IndexActualsInterpolation
Forecast
Residuals
Prediction Error
119721987.22549582155-15.2254958215536
219731985.82474562787-12.824745627871
319741984.54333808641-10.5433380864098
419751985.29780764268-10.2978076426802
519761988.46485235599-12.4648523559901
619771983.89618590688-6.89618590688065
719781980.24600458013-2.24600458013256
819791992.52069889765-13.5206988976493
919801987.2116064991-7.21160649909742
1019811983.90785813929-2.90785813929229
1119821984.19589845504-2.19589845504395
1219831988.26402869606-5.26402869605737
1319841981.540907856942.4590921430552
1419851981.503940353413.49605964658612
1519861987.25964236959-1.25964236959146
1619871983.800728674273.19927132572914
1719881987.177293462040.822706537960378
1819891988.383455413340.616544586659173
1919901988.728056710961.27194328903943
2019911982.189175192518.81082480748874
2119921986.569729503575.43027049642737
2219931988.556791448154.44320855185485
2319941989.648186626474.3518133735275
2419951985.833770549079.16622945093324
2519961990.057910620685.94208937932068
2619971989.82951329687.17048670319807
2719981986.7786010405411.2213989594572
2819991988.7996869006210.2003130993793
2920001990.991743875619.00825612439363
3020011985.7523453967615.2476546032397


Goldfeld-Quandt test for Heteroskedasticity
p-valuesAlternative Hypothesis
breakpoint indexgreater2-sidedless
100.1546502624035540.3093005248071080.845349737596446
110.09113552538612910.1822710507722580.908864474613871
120.05863647767559320.1172729553511860.941363522324407
130.1482192883356780.2964385766713570.851780711664322
140.26619819331910.5323963866381990.7338018066809
150.6184113062487960.7631773875024080.381588693751204
160.7630992970381760.4738014059236470.236900702961824
170.8529110733109990.2941778533780020.147088926689001
180.8051768930370410.3896462139259190.194823106962959
190.8707755960460670.2584488079078660.129224403953933
200.9022016197568730.1955967604862540.0977983802431272


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