Table 2.

Multivariate coefficients and CIs for linear regression and random forest regression of the COVID-19 risk score.

Variable	Linear coefficient	P value	Low (95% CI)	High (95% CI)	MSEa	Node purityb	VIFc,d
Median income	–1.34	<.001	–1.53	–1.16	42	59,736	3.68
Median home value	–0.13	.07	–0.27	0.01	39	33,163	2.21
At or below poverty (%)	–3.24	<.001	–3.42	–3.07	61	78,890	3.04
Unemployment (%)	0.73	<.001	0.60	0.86	87	68,364	1.69
Nonemployed (%)	5.38	<.001	5.26	5.50	285	316,903	1.42
Less than high school (%)	2.12	<.001	1.90	2.33	71	63,048	4.71
No health insurance (%)	0.69	<.001	0.55	0.83	50	34,818	2.18
More than 1 occupant (%)	–0.89	<.001	–1.04	–0.73	59	41,387	2.46
African American (%)	0.73	<.001	0.59	0.87	68	84,497	2.09
Hispanic (%)	–2.30	<.001	–2.49	–2.10	78	63,847	4.12
Asian (%)	–1.14	<.001	–1.25	–1.02	91	93,675	1.42
Other race (%)	–0.51	<.001	–0.67	–0.36	69	45,301	2.45

^aMSE: mean standard error.

^bNode impurity: residual sum of squares for the random forest model.

^cVIF: variance inflation factor.

^dFor the linear regression model.