Table 3.
A multiple linear regression model for the dependent variable PopDensityLog2.
| N = 3009 | Regression Summary for Dependent Variable: Risk = PopDensityLog^2 R = 0.80040234 R2 = 0.641 Adjusted R2 = 0.640 |
|||||
|---|---|---|---|---|---|---|
| b* | Std.Err. | b | Std.Err. | t(3000) | p-value | |
| Intercept | −47.30 | 4.19 | −11.3 | 0.000000 | ||
| 2000-2016AveragePM25 | 0.35 | 0.02 | 1.99 | 0.11 | 18.9 | 0.000000 |
| PCT_BLACK | −0.01 | 0.01 | −1.32 | 1.35 | −1.0 | 0.326789 |
| PCT_HISP | 0.16 | 0.01 | 17.09 | 1.44 | 11.9 | 0.000000 |
| Latitude | 0.37 | 0.02 | 1.09 | 0.07 | 15.0 | 0.000000 |
| Longitude | 0.17 | 0.02 | 0.21 | 0.02 | 10.1 | 0.000000 |
| WINTERAVGTMP | 0.22 | 0.02 | 0.28 | 0.03 | 9.9 | 0.000000 |
| FirstCaseDays | 0.39 | 0.01 | 0.33 | 0.01 | 33.5 | 0.000000 |
| PopDensity | 0.38 | 0.01 | 0.00 | 0.00 | 33.1 | 0.000000 |