Table 2.

Hierarchical multiple regression analysis summary for populationi density, airports and wind variables predicting COVID-19 cases.

	B	SE	β	T	p	95%Cl Lower-Upper		VIF
Constant	−377.138	45.518		−8.285	0.0001	−467.80	−286.48	6.41
Population	0.000	0.000	0.20	2.83	0.006	0.000	0.000	7.19
Density	2.50	0.22	0.78	11.56	0.0001	2.06	2.93	6.56
Airports	−33.71	57.30	−0.02	−0.59	0.56	−147.84	80.42	1.57
Wind speed	25.33	12.18	−0.06	2.08	0.04	1.06	49.59	1.08
Model 1: Adj. R2 = 0.95. F (4, 76) = 340.19. p < .0001
Constant	−445.76	137.42		−3.24	0.002	−719.35	−172.17
Density	3.06	0.09	0.96	33.64	0.0001	2.88	3.24	1.07
Wind speed	22.13	12.56	0.05	1.94	0.05	−2.93	47.18	1.07
Model 2 (airports and population excluded): Adj. R2 = 0.94. F (2,78) = 626.90, p < .0001.