Table 6.
Statistical significance of features across models.
| Features | Model 1 | Model 2 | Model 3 |
|---|---|---|---|
| Growth Case | 0.83 (6) | 0.5(2) | 1.0 (2) |
| Economic Index | 0.67 (3) | 0.67 (3) | 1.0 (2) |
| Political Affiliation | 0.67 (3) | 0.67 (3) | 0.0 (1)⁎ |
| Retail Recreation | 1.0 (9) | 1.0 (8) | – |
| Grocery and Pharmacy | 1.0 (9) | 1.0 (8) | – |
| Parks | 0.83 (6) | 0.83 (7) | – |
| Transit | 1.0 (9) | 1.0 (8) | – |
| Workplaces | 0.0 (1)⁎ | 0.0 (1)⁎ | – |
| Residential | 1.0 (9) | 0.67 (3) | - |
| State Emergency | 1.0 (9) | – | – |
| Mask Mandate | 1.0 (9) | – | – |
| Vaccine Mandate | 0.83 (6) | – | – |
| Mask School | 1.0 (9) | – | – |
| Vaccine School | 0.5 (2) | – | – |
| Retail Sales | 0.67 (3) | 0.67 (3) | 1.0 (2) |
Note: “–” indicates that these variables were not included in the respective models, and the parenthesis associated to the p-values show the relative ranking of the features in terms of the-value.
*
Denotes significance at the 1%.