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Table 3 Statistical summary of multivariable regression analysis. Statistical estimates of top variables identified after subset selection and minimization of the AIC are reported. Col 1, variable name; col 2, regression estimate for variable; col 3, standard error of estimate; col 4, t-statistic for regression; col 5, significance of variable association (p-value); col 6, variable association significance codes

From: Global-scale modeling of early factors and country-specific trajectories of COVID-19 incidence: a cross-sectional study of the first 6 months of the pandemic

Variable

Estimate

Std.Error

t

value

Pr(>|t|)

(Intercept)

1.25828

0.665479

1.891

0.06097

.

G_Temp_C_Mar2016

−0.02075

0.004482

−4.63

9.04E-06

***

E_Urban_pct2018

0.009165

0.002912

3.148

0.00206

**

E_Employ2018_agri_pct_tot_emp

−0.021051

0.003676

−5.726

7.22E-08

***

log_D_Popden2018

0.175727

0.087111

2.017

0.04581

*

D_Age_15_64y_2018

0.014129

0.009234

1.53

0.12854

 
  1. Significance codes: 0 ‘***’, 0.001 ‘**’, 0.01 ‘*’, 0.05 ‘.’
  2. Residual standard error: 0.4992 on 125 degrees of freedom
  3. Multiple R-squared: 0.6928; Adjusted R-squared: 0.6805
  4. F-statistic: 56.39 on 5 and 125 degrees of freedom, p-value < 2.20E-16