Table 1.

Mutiple linear regression model for COVID-19 mortality rate. The columns give standardized regression coefficients (b*) and their standard errors; unstandardized regression coefficients (b) and their standard errors; and t-test values and significance levels (p-values) for each coefficient.

N = 3009	Regression Summary for Dependent Variable: DeathRate100K R = 0.39594357 R2 = 0.16 Adjusted R2 = 0.16
	b*	Std.Err.	b	Std.Err.	t(3000)	p-value
Intercept			−15.81	9.28	−1.7	0.0885
2000-2016AveragePM25	0.00	0.028	−0.04	0.23	−0.2	0.8718
PCT_HISP	0.09	0.021	13.17	3.19	4.1	0.0000
PCT_BLACK	0.28	0.021	40.75	2.99	13.6	0.0000
PopDensity	0.04	0.018	0.00	0.00	2.2	0.0261
WINTERAVGTMP	0.09	0.034	0.17	0.06	2.7	0.0063
FirstCaseDays	0.17	0.018	0.21	0.02	9.6	0.0000
Latitude	0.18	0.037	0.77	0.16	4.8	0.0000
Longitude	0.15	0.025	0.27	0.05	5.9	0.0000