Table 3.

Contributions of selected variables to the variation in % adult obesity in 2016 across counties in the United States.

Variable	Parameter estimate	Standard error	F value	Pr > F	Partial R2 (%)	Model R2 (%)	F value	Pr > F
% adult physically inactive	0.32	0.02	306.71	<0.0001	31.32	31.32	1405.94	<0.0001
% adult smokers	0.25	0.04	46.66	<0.0001	5.55	36.87	271.07	<0.0001
Altitude-weighted	−0.0018	0.0003	40.41	<0.0001	2.17	39.04	109.71	<0.0001
Average daily sunlight (kJ/m2)	−0.0007	0.0001	30.67	<0.0001	1.60	42.46	85.32	<0.0001
Average daily precipitation (mm)	−1.13	0.13	76.09	<0.0001	1.02	40.07	52.62	<0.0001
% black	0.04	0.01	10.32	0.0013	0.79	40.86	41.31	<0.0001
% some college	−0.04	0.01	17.16	<0.0001	0.57	43.03	30.78	<0.0001
Median household income	−0.00005	0.00001	23.15	<0.0001	0.23	43.25	12.45	0.0004
Food Environment Index	−0.36	1.13	0.10	0.748	0.17	43.42	9.11	0.0026
% non-Hispanic white	−0.03	0.01	6.87	0.0088	0.10	43.67	5.58	0.0182
% female	0.06	0.04	3.01	0.0831	0.08	43.50	4.20	0.0405
Average daily max air temperature (F)	0.04	0.02	2.91	0.088	0.03	43.53	1.69	0.1931
% Hispanic	−0.05	0.02	9.03	0.0027	0.03	43.56	1.85	0.1743
% food insecure	−0.17	0.21	0.68	0.4107	0.03	43.72	1.50	0.2209
Average daily PM2.5	0.07	0.06	1.58	0.2089	0.02	43.69	1.31	0.2516
% limited access to healthy foods	−0.06	0.10	0.33	0.5665	0.01	43.72	0.33	0.5658
% rural	−0.001	0.003	0.06	0.8093	0.00	43.73	0.06	0.8093

Note. R ² is a measure of the proportion of the variance for a dependent variable that is explained by an independent variable or variables within a regression model. Partial R² measures the marginal contribution of a given independent variable when another variable is already included in the model. Model R² is a measure of the cumulative partial R² values, increasing with each additional variable added to the model.