Multiple Linear Regression - Ordinary Least Squares
Variable	Parameter	S.E.	T-STAT H0: parameter = 0	2-tail p-value	1-tail p-value
Verwachting[t]	0.263868	0.190249	1.386958	0.169405	0.084703
Constant	3.132915	2.569067	1.219476	0.226338	0.113169
Variable	Elasticity	S.E.*	T-STAT H0: |elast| = 1	2-tail p-value	1-tail p-value
%Verwachting[t]	0.521692	0.376141	-1.271617	0.207288	0.103644
%Constant	0.478308	0.392224	-1.330088	0.187366	0.093683
Variable	Stand. Coeff.	S.E.*	T-STAT H0: coeff = 0	2-tail p-value	1-tail p-value
S-Verwachting[t]	0.155141	0.111857	1.386958	0.169405	0.084703
S-Constant	0	0	0	1	0.5
*Note	computed against deterministic endogenous series
Variable	Partial Correlation
Verwachting[t]	0.155141
Constant	0.136781
Critical Values (alpha = 5%)
1-tail CV at 5%	1.65
2-tail CV at 5%	1.96

Multiple Linear Regression - Regression Statistics
Multiple R	0.155141
R-squared	0.024069
Adjusted R-squared	0.011557
F-TEST	1.923653
Observations	80
Degrees of Freedom	78
Multiple Linear Regression - Residual Statistics
Standard Error	6.512525
Sum Squared Errors	3308.212152
Log Likelihood	-262.400545
Durbin-Watson	1.867444
Von Neumann Ratio	1.891082
# e[t] > 0	31
# e[t] < 0	49
# Runs	37
Stand. Normal Runs Statistic	-0.468466

Multiple Linear Regression - Ad Hoc Selection Test Statistics
Akaike (1969) Final Prediction Error	43.473301
Akaike (1973) Log Information Criterion	3.772137
Akaike (1974) Information Criterion	43.472848
Schwarz (1978) Log Criterion	3.831687
Schwarz (1978) Criterion	46.140321
Craven-Wahba (1979) Generalized Cross Validation	43.500489
Hannan-Quinn (1979) Criterion	44.523276
Rice (1984) Criterion	43.529107
Shibata (1981) Criterion	43.420284

Multiple Linear Regression - Analysis of Variance
ANOVA	DF	Sum of Squares	Mean Square
Regression	1	81.587848	81.587848
Residual	78	3308.212152	42.412976
Total	79	3389.8	42.908860759494
F-TEST	1.923653
p-value	0.169405

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