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. Author manuscript; available in PMC: 2018 Aug 1.
Published in final edited form as: Prev Med. 2017 May 17;101:18–22. doi: 10.1016/j.ypmed.2017.05.009

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.