Table 3. Model fit statistics and coefficients from linear regressions.
Mean PM2.5 | Median PM2.5 | % Time >12 μg/m3 | % Time >35 μg/m3 | |
---|---|---|---|---|
Model Adjusted R2 | 0.3355 | 0.1249 | 0.1456 | 0.396 |
Residual Standard Error | 6.7 | 4.8 | 22.4 | 5.8 |
Smoke Exposed | 9.3 | 3.6 | 14.7 | 7.3 |
(4.5, 14.2) | (0.1, 7.0) | (-1.4, 30.8) | (3.1, 11.4) | |
p< 0.001* | p<0.05* | p = 0.07 | p<0.005* | |
Hood Fan Use | -4.6 | -3.4 | -18.7 | -8.3 |
(-10.8 1.6) | (-7.9, 1.0) | (-39.3, 1.98) | (-13.6, -2.9) | |
p = 0.14 | p = 0.13 | p = 0.07 | p<0.005* | |
Distance to Highway (reported per km) | 4.9 | 1.5 | 18.1 | 0.1 |
(-4.4, 14.4) | (-5.2, 8.3) | (-13.4, 49.6) | (-8.1, 8.3) | |
p>0.20 | p>0.20 | p>0.20 | p>0.20 |
Model Fit Statistics and Coefficients from Linear Regressions with each of the four monthly summary PM2.5 statistics as the outcome variable, with confidence intervals in parentheses and p values below. Significant results (p <0.05) are indicated with an asterisk (*).