. 2023 Jun 28;9(7):e17759. doi: 10.1016/j.heliyon.2023.e17759

Table 4.

Summary of the binary logistic regression model.

Variables	Estimate Coefficients (β_i)	Standard Error	Odds Ratio (exp (β_i))	Average Marginal Effects	Z-Value	P-value
(Intercept)	−1.032	0.156	0.356	–	−6.620	3.58 $\times 1 0^{- 11 * * *}$
Incident Clearance Time	0.288	0.080	1.334	0.044	3.598	3.21 $\times 1 0^{- 4 * * *}$
Injuries	0.667	0.270	1.978	0.101	2.469	0.02*
Cars	1.168	0.152	3.214	0.177	−9.188	<2.00 $\times 1 0^{- 16 * * *}$
Only Shoulder Blocking (Y)	−1.397	0.099	0.247	−0.231	11.678	<2.00 $\times 1 0^{- 16 * * *}$
Safety Service Patrol (Y)	−0.785	0.192	0.456	−0.115	−4.089	$4.34 \times 1 0^{- 5 * * *}$

Null deviance: 1,542.9 on 1,211° of freedom.

Residual deviance: 1,130.5 on 1,206° of freedom.

AIC: 1,142.5/Accuracy: 0.78/Sensitivity: 0.86/Specificity: 0.65.

Significant Level Codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05.