Table 3. Multiple linear regression table with R2, coefficient and p value for input features (population density, normalized busy airport, pre-infected count, pre-death count) and observed factors (post-infected count and post-death count).
Input Feature | Output Feature | R2 | Coeff. | p value |
---|---|---|---|---|
Constant | Post-Inf | 0.92 | -0.92 | 0.068 |
PD | 0.17 | 0 | ||
Air | 0.19 | 0 | ||
Pre-Inf | 0.81 | 0 | ||
Constant | Post-Dth | 0.94 | -0.68 | 0.106 |
PD | 0.17 | 0 | ||
Air | 0.06 | 0.005 | ||
Pre-Inf | 0.91 | 0 | ||
Constant | Post-Inf | 0.83 | -1.37 | 0.074 |
PD | 0.20 | 0 | ||
Air | 0.18 | 0 | ||
Pre-Dth | 0.67 | 0 | ||
Constant | Post-Dth | 0.82 | -1.17 | 0.116 |
PD | 0.20 | 0 | ||
Air | 0.05 | 0.213 | ||
Pre-Dth | 0.76 | 0 |