Table 2.
Regression of PM2.5, race, and COVID-19 cases for the 50 most populous counties in Texas.
| Multivariate linear regression of PM2.5, race/ethnicity, and COVID cases for the 50 most Populous counties in Texas Dependent variable: COVID cases Independent variables: PM2.5 (2000–2016 average in μg/m3), percent minority race/ethnicity (%Non-Hispanic Black + %Hispanic) | ||||
|---|---|---|---|---|
| Residuals | ||||
| Min | 1Q | Median | 3Q | Max |
| − 765.2 | − 330.0 | − 186.0 | 180.7 | 2448.2 |
| Coefficients | Estimate | Std. error | t-value | Pr( >|t|) |
|---|---|---|---|---|
| (Intercept) | 918.308 | 627.219 | 1.464 | 0.14982 |
| PM2.5 | − 36.997 | 69.828 | − 0.530 | 0.59872 |
| Race/ethnicity | 16.022 | 4.485 | 3.572 | 0.00083*** |
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1.
Multiple R-squared: 0.2135, Adjusted R-squared: 0.1801.
Residual standard error: 590.3 on 47 degrees of freedom.
F-statistic: 6.38 on 2 and 47 degrees of freedom, p-value: 0.003536.