Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.E.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
prijs[t]3434.39554511089.5619540.3096960.7579210.378961
Constant29858.0779668385.4750593.560690.0007550.000377
t^190.78151291.6807320.9901920.3262650.163133
VariableElasticityS.E.*T-STAT
H0: |elast| = 1
2-tail p-value1-tail p-value
%prijs[t]0.0929550.300148-3.0219890.0037570.001879
%Constant0.830070.233121-0.7289360.4690260.234513
%t^10.0769750.077738-11.87360500
VariableStand. Coeff.S.E.*T-STAT
H0: coeff = 0
2-tail p-value1-tail p-value
S-prijs[t]0.0889160.2871060.3096960.7579210.378961
S-Constant00010.5
S-t^10.284290.2871060.9901920.3262650.163133
*Notecomputed against deterministic endogenous series
VariablePartial Correlation
prijs[t]0.040986
Constant0.426565
t^10.13004
Critical Values (alpha = 5%)
1-tail CV at 5%1.68
2-tail CV at 5%2

Multiple Linear Regression - Regression Statistics
Multiple R0.36659
R-squared0.134388
Adjusted R-squared0.104016
F-TEST4.424689
Observations60
Degrees of Freedom57
Multiple Linear Regression - Residual Statistics
Standard Error5296.388498
Sum Squared Errors1598948673.6383
Log Likelihood-598.08434
Durbin-Watson1.60404
Von Neumann Ratio1.631227
# e[t] > 029
# e[t] < 031
# Runs26
Stand. Normal Runs Statistic-1.294859

Multiple Linear Regression - Ad Hoc Selection Test Statistics
Akaike (1969) Final Prediction Error29454317.672285
Akaike (1973) Log Information Criterion17.198268
Akaike (1974) Information Criterion29451859.560012
Schwarz (1978) Log Criterion17.302985
Schwarz (1978) Criterion32703244.042323
Craven-Wahba (1979) Generalized Cross Validation29528138.017329
Hannan-Quinn (1979) Criterion30683274.933514
Rice (1984) Criterion29610160.622932
Shibata (1981) Criterion29314059.016703

Multiple Linear Regression - Analysis of Variance
ANOVADFSum of SquaresMean Square
Regression2248240377.21165124120188.60583
Residual571598948673.638328051731.116462
Total591847189050.8531308288.997458
F-TEST4.424689
p-value0.016357