Multiple Linear Regression - Ordinary Least Squares
VariableParameterS.E.T-STAT
H0: parameter = 0
2-tail p-value1-tail p-value
TC[t]-0.0053690.000591-9.08691200
income[t]1.8E-053E-065.20078500
age[t]-0.0231370.007193-3.216370.0013360.000668
female[t]0.0503050.0201082.5017010.0125030.006252
white[t]0.067470.00312521.5901100
black[t]0.0016790.0042040.3993740.6896950.344847
hispanic[t]0.0331540.0052776.28227100
Constant-16.2216351.264722-12.82624200
VariableElasticityS.E.*T-STAT
H0: |elast| = 1
2-tail p-value1-tail p-value
%TC[t]-0.0465280.00512-186.21264400
%income[t]0.0457490.008797-108.47958300
%age[t]-0.17280.053725-15.39688100
%female[t]0.2555510.102151-7.28775200
%white[t]0.4756550.022031-23.80020600
%black[t]0.0010720.002685-371.98836600
%hispanic[t]0.0522430.008316-113.967800
%Constant-1.6109420.1255974.8642911E-061E-06
VariableStand. Coeff.S.E.*T-STAT
H0: coeff = 0
2-tail p-value1-tail p-value
S-TC[t]-0.221810.02441-9.08691200
S-income[t]0.1403250.0269815.20078500
S-age[t]-0.0796040.02475-3.216370.0013360.000668
S-female[t]0.057840.023122.5017010.0125030.006252
S-white[t]0.684250.03169321.5901100
S-black[t]0.0105070.0263090.3993740.6896950.344847
S-hispanic[t]0.2061520.0328156.28227100
S-Constant00010.5
*Notecomputed against deterministic endogenous series
VariablePartial Correlation
TC[t]-0.263353
income[t]0.15437
age[t]-0.096179
female[t]0.074945
white[t]0.544169
black[t]0.011997
hispanic[t]0.185458
Constant-0.359558
Critical Values (alpha = 5%)
1-tail CV at 5%1.65
2-tail CV at 5%1.96

Multiple Linear Regression - Regression Statistics
Multiple R0.668135
R-squared0.446404
Adjusted R-squared0.442906
F-TEST127.636967
Observations1116
Degrees of Freedom1108
Multiple Linear Regression - Residual Statistics
Standard Error1.285612
Sum Squared Errors1831.299179
Log Likelihood-1859.898733
Durbin-Watson0.747029
Von Neumann Ratio0.747699
# e[t] > 0485
# e[t] < 0631
# Runs187
Stand. Normal Runs Statistic-22.087406

Multiple Linear Regression - Ad Hoc Selection Test Statistics
Akaike (1969) Final Prediction Error1.664645
Akaike (1973) Log Information Criterion0.509612
Akaike (1974) Information Criterion1.664645
Schwarz (1978) Log Criterion0.545579
Schwarz (1978) Criterion1.725608
Craven-Wahba (1979) Generalized Cross Validation1.664731
Hannan-Quinn (1979) Criterion1.687434
Rice (1984) Criterion1.664817
Shibata (1981) Criterion1.664475

Multiple Linear Regression - Analysis of Variance
ANOVADFSum of SquaresMean Square
Regression71476.70606210.958009
Residual11081831.2991791.652797
Total11153308.0052392.9668208423936
F-TEST127.636967
p-value0