Table 2.

Geographically Weighted Regression Model Summary and Coefficient Estimates.^a

Variable	Mean	SD	Median	Min	Max
GWR coefficient estimates
Atmospheric pressure, hPa	0.1498	0.0986	0.1411	−0.1717	0.4684
Sun, kJ/m2	0.0005	0.0031	0.0005	−0.0063	0.0092
Precipitation, mm	0.1336	3.6609	0.1445	−8.8304	10.9696
Male, %	−0.1565	0.3598	−0.1779	−1.0846	1.1535
Hispanic, %	−0.1538	0.2070	−0.1189	−1.3641	0.2968
Caucasian, %	0.0345	0.1535	0.0344	−0.2930	0.5820
Poverty, %	0.1549	0.3978	0.0539	−0.7987	1.0359
Population density, people per km2	0.0050	0.0070	0.0029	−0.0195	0.0298
Current smoker, %	1.6636	0.4162	1.6702	0.5672	2.5982
Obese, %	−0.0972	0.3925	−0.0876	−0.9459	0.9181
Diabetic, %	0.7182	1.2840	0.9072	−2.7783	3.4733
PM2.5, µg/m3	−0.1721	1.2883	−0.0745	−4.7130	4.0428
Adjusted R 2 = 0.73
AIC = 20342.64
Best bandwidth (counties) = 375

Abbreviations: AIC, Akaike information criteria; GWR, geographically weighted regression; SD, standard deviation.

^aCoefficient estimates were simultaneously computed for data from 2974 counties.