Table 2

Predictor variables and initial and final results from the regression

Variable (frequency)Initial modelFinal model
CoefficientSECoefficientSE
Intercept11.056.197.674.29
Dark 0=No (101); 1=yes (56)−0.812.56
Weather 0=No (121); 1=yes (37)−2.692.85
Soft surface 0=No (148); 1=yes (10)4.176.04
Slope 0=No (122); 1=yes (36)−0.043.14
Physical obstruction 0=No (128); 1=yes (30)8.303.4510.312.44
Number of vehicles 1=1 (33); 2=2 (102); 3=3+ (22)−0.242.17
Vehicle type 0=hatchback (122); 1=other (35)1.381.40
Number of doors 0=1–4 (52); 1=5+ (104)0.251.21
Vehicle age (years) mean 6.9 SD 4.2−0.190.27
Multiple 0=No (117); 1=Yes (38)1.793.03
Intrusion passenger compartment 0=no (110); 1=yes (45)1.303.04
Vehicle on side 0=no (146); 1=yes (9)−1.682.85
Vehicle on roof 0=no (151); 1=yes (4)−10.973.63−11.613.17
Halts 0=no (126); 1=yes (32)2.361.63
Number patients medically trapped 0=0 (10); 1=1 (120); 2=2 (25)8.962.7210.292.17
Number patients physically trapped 0=0 (140); 1=1+ (16)5.062.536.711.77
Access 0=controlled (142); 1=rapid (7)−7.412.56−7.302.30