Table 1.
Variables predictive of county-level foodservice business review volume.
Variable | (a) Variables selected in shrinkage procedure Coefficient (SE) | Variables significant in (a) Coefficient (SE) |
---|---|---|
Log of population | 1.257 (0.079)*** | 1.295 (0.065)*** |
Restaurants per 1000 population | 0.812 (0.111)*** | 0.881 (0.095)*** |
Schools per 1000 population | 1.373 (1.702) | – |
Percent with bachelor degree | 0.012 (0.013) | – |
Percent with high school degree | 0.042 (0.019)* | 0.053 (0.015)*** |
Intercept | −13.75 (1.628)*** | −14.889 |
R2 = 0.85 | R2 = 0.849 | |
F5,125 = 142.8*** | F3,127 = 238.7*** |
Initial model shown in column two included all variables selected via the regularization procedure. A second regression model comprising only the significant variables is given in column three.
p < 0.05;
p < 0.01;
p < 0.001.