Multiple Linear Regression - Ordinary Least Squares
Variable	Parameter	S.E.	T-STAT H0: parameter = 0	2-tail p-value	1-tail p-value
Activebidder[t]	0.165515	0.031497	5.254929	1E-06	0
PAV[t]	0.452872	0.019563	23.149365	0	0
Constant	-852.644015	65.683426	-12.981114	0	0
Variable	Elasticity	S.E.*	T-STAT H0: |elast| = 1	2-tail p-value	1-tail p-value
%Activebidder[t]	0.222998	0.042436	-18.309954	0	0
%PAV[t]	1.770364	0.076476	10.073318	0	0
%Constant	-0.993362	0.076524	-0.086739	0.930998	0.465499
Variable	Stand. Coeff.	S.E.*	T-STAT H0: coeff = 0	2-tail p-value	1-tail p-value
S-Activebidder[t]	0.18976	0.036111	5.254929	1E-06	0
S-PAV[t]	0.835946	0.036111	23.149365	0	0
S-Constant	0	0	0	1	0.5
*Note	computed against deterministic endogenous series
Variable	Partial Correlation
Activebidder[t]	0.398817
PAV[t]	0.886504
Constant	-0.731973
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	0.908295
R-squared	0.825
Adjusted R-squared	0.822603
F-TEST	344.143814
Observations	149
Degrees of Freedom	146
Multiple Linear Regression - Residual Statistics
Standard Error	75.262313
Sum Squared Errors	827004.692165
Log Likelihood	-853.732482
Durbin-Watson	1.238188
Von Neumann Ratio	1.246554
# e[t] > 0	69
# e[t] < 0	80
# Runs	53
Stand. Normal Runs Statistic	-3.652349

Multiple Linear Regression - Ad Hoc Selection Test Statistics
Akaike (1969) Final Prediction Error	5778.464338
Akaike (1973) Log Information Criterion	8.661888
Akaike (1974) Information Criterion	5778.432887
Schwarz (1978) Log Criterion	8.72237
Schwarz (1978) Criterion	6138.710228
Craven-Wahba (1979) Generalized Cross Validation	5780.807803
Hannan-Quinn (1979) Criterion	5922.18467
Rice (1984) Criterion	5783.249596
Shibata (1981) Criterion	5773.871775

Multiple Linear Regression - Analysis of Variance
ANOVA	DF	Sum of Squares	Mean Square
Regression	2	3898747.251558	1949373.625779
Residual	146	827004.692165	5664.4157
Total	148	4725751.943723	31930.756376505
F-TEST	344.143814
p-value	0

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