Multiple Linear Regression - Ordinary Least Squares | |||||
Variable | Parameter | S.E. | T-STAT H0: parameter = 0 | 2-tail p-value | 1-tail p-value |
TC[t] | -0.005369 | 0.000591 | -9.086912 | 0 | 0 |
income[t] | 1.8E-05 | 3E-06 | 5.200785 | 0 | 0 |
age[t] | -0.023137 | 0.007193 | -3.21637 | 0.001336 | 0.000668 |
female[t] | 0.050305 | 0.020108 | 2.501701 | 0.012503 | 0.006252 |
white[t] | 0.06747 | 0.003125 | 21.59011 | 0 | 0 |
black[t] | 0.001679 | 0.004204 | 0.399374 | 0.689695 | 0.344847 |
hispanic[t] | 0.033154 | 0.005277 | 6.282271 | 0 | 0 |
Constant | -16.221635 | 1.264722 | -12.826242 | 0 | 0 |
Variable | Elasticity | S.E.* | T-STAT H0: |elast| = 1 | 2-tail p-value | 1-tail p-value |
%TC[t] | -0.046528 | 0.00512 | -186.212644 | 0 | 0 |
%income[t] | 0.045749 | 0.008797 | -108.479583 | 0 | 0 |
%age[t] | -0.1728 | 0.053725 | -15.396881 | 0 | 0 |
%female[t] | 0.255551 | 0.102151 | -7.287752 | 0 | 0 |
%white[t] | 0.475655 | 0.022031 | -23.800206 | 0 | 0 |
%black[t] | 0.001072 | 0.002685 | -371.988366 | 0 | 0 |
%hispanic[t] | 0.052243 | 0.008316 | -113.9678 | 0 | 0 |
%Constant | -1.610942 | 0.125597 | 4.864291 | 1E-06 | 1E-06 |
Variable | Stand. Coeff. | S.E.* | T-STAT H0: coeff = 0 | 2-tail p-value | 1-tail p-value |
S-TC[t] | -0.22181 | 0.02441 | -9.086912 | 0 | 0 |
S-income[t] | 0.140325 | 0.026981 | 5.200785 | 0 | 0 |
S-age[t] | -0.079604 | 0.02475 | -3.21637 | 0.001336 | 0.000668 |
S-female[t] | 0.05784 | 0.02312 | 2.501701 | 0.012503 | 0.006252 |
S-white[t] | 0.68425 | 0.031693 | 21.59011 | 0 | 0 |
S-black[t] | 0.010507 | 0.026309 | 0.399374 | 0.689695 | 0.344847 |
S-hispanic[t] | 0.206152 | 0.032815 | 6.282271 | 0 | 0 |
S-Constant | 0 | 0 | 0 | 1 | 0.5 |
*Note | computed against deterministic endogenous series | ||||
Variable | Partial 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 R | 0.668135 |
R-squared | 0.446404 |
Adjusted R-squared | 0.442906 |
F-TEST | 127.636967 |
Observations | 1116 |
Degrees of Freedom | 1108 |
Multiple Linear Regression - Residual Statistics | |
Standard Error | 1.285612 |
Sum Squared Errors | 1831.299179 |
Log Likelihood | -1859.898733 |
Durbin-Watson | 0.747029 |
Von Neumann Ratio | 0.747699 |
# e[t] > 0 | 485 |
# e[t] < 0 | 631 |
# Runs | 187 |
Stand. Normal Runs Statistic | -22.087406 |
Multiple Linear Regression - Ad Hoc Selection Test Statistics | |
Akaike (1969) Final Prediction Error | 1.664645 |
Akaike (1973) Log Information Criterion | 0.509612 |
Akaike (1974) Information Criterion | 1.664645 |
Schwarz (1978) Log Criterion | 0.545579 |
Schwarz (1978) Criterion | 1.725608 |
Craven-Wahba (1979) Generalized Cross Validation | 1.664731 |
Hannan-Quinn (1979) Criterion | 1.687434 |
Rice (1984) Criterion | 1.664817 |
Shibata (1981) Criterion | 1.664475 |
Multiple Linear Regression - Analysis of Variance | |||
ANOVA | DF | Sum of Squares | Mean Square |
Regression | 7 | 1476.70606 | 210.958009 |
Residual | 1108 | 1831.299179 | 1.652797 |
Total | 1115 | 3308.005239 | 2.9668208423936 |
F-TEST | 127.636967 | ||
p-value | 0 |