Multiple Linear Regression - Ordinary Least Squares
Variable	Parameter	S.E.	T-STAT H0: parameter = 0	2-tail p-value	1-tail p-value
Sq.ft.[t]	403.474806	20.815067	19.383786	0	0
Constant	-53888.068175	26457.447154	-2.036783	0.048164	0.024082
Variable	Elasticity	S.E.*	T-STAT H0: |elast| = 1	2-tail p-value	1-tail p-value
%Sq.ft.[t]	1.1266	0.058121	2.178226	0.035194	0.017597
%Constant	-0.1266	0.062157	-14.051535	0	0
Variable	Stand. Coeff.	S.E.*	T-STAT H0: coeff = 0	2-tail p-value	1-tail p-value
S-Sq.ft.[t]	0.949534	0.048986	19.383786	0	0
S-Constant	0	0	0	1	0.5
*Note	computed against deterministic endogenous series
Variable	Partial Correlation
Sq.ft.[t]	0.949534
Constant	-0.303126
Critical Values (alpha = 5%)
1-tail CV at 5%	1.69
2-tail CV at 5%	2.02

Multiple Linear Regression - Regression Statistics
Multiple R	0.949534
R-squared	0.901615
Adjusted R-squared	0.899216
F-TEST	375.731178
Observations	43
Degrees of Freedom	41
Multiple Linear Regression - Residual Statistics
Standard Error	61499.186737
Sum Squared Errors	155068148740.06
Log Likelihood	-534.141861
Durbin-Watson	1.55192
Von Neumann Ratio	1.588871
# e[t] > 0	18
# e[t] < 0	25
# Runs	12
Stand. Normal Runs Statistic	-3.150945

Multiple Linear Regression - Ad Hoc Selection Test Statistics
Akaike (1969) Final Prediction Error	3958063921.3289
Akaike (1973) Log Information Criterion	22.098954
Akaike (1974) Information Criterion	3957798077.9799
Schwarz (1978) Log Criterion	22.18087
Schwarz (1978) Criterion	4295655289.6811
Craven-Wahba (1979) Generalized Cross Validation	3966645089.7221
Hannan-Quinn (1979) Criterion	4079180146.6172
Rice (1984) Criterion	3976106377.9504
Shibata (1981) Criterion	3941699832.7653

Multiple Linear Regression - Analysis of Variance
ANOVA	DF	Sum of Squares	Mean Square
Regression	1	1421071662306.4	1421071662306.4
Residual	41	155068148740.06	3782149969.2699
Total	42	1576139811046.5	37527138358.25
F-TEST	375.731178
p-value	0

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