Research Article
Statistical Analysis for Study of the Effect of Dark Clothing Color of Female Pedestrians on the Severity of Accident Using Machine Learning Methods
Table 11
MLR results in the twentieth step.
| Variables | β | S.E. | Wald | Sig. | Exp (β) |
| Age 51 and above | 3.405 | 0.889 | 14.670 | 0.012 | 30.114 | Chador clothing | 4.624 | 1.578 | 8.587 | 0.023 | 101.901 | Other dark clothing | 4.125 | 1.287 | 10.273 | 0.003 | 61.868 | 1 : 00 to 7 : 00 | −1.658 | 0.861 | 3.708 | 0.001 | 0.191 | 17 : 00 to 21 : 00 | 3.074 | 1.026 | 8.977 | 0.025 | 21.628 | Wednesday to Friday and holidays | 1.493 | 1.070 | 1.947 | 0.003 | 4.450 | Master’s degree | −2.786 | 0.757 | 13.545 | 0.000 | 0.062 | Sudden jump in front of the vehicle | 3.603 | 1.116 | 10.423 | 0.000 | 36.708 | Walking in the nondirection of the vehicle’s movement | −2.261 | 0.880 | 6.601 | 0.001 | 0.104 | Allowed to cross | −1.098 | 0.855 | 1.649 | 0.016 | 0.334 | Rainy weather | 4.007 | 1.131 | 12.552 | 0.000 | 54.982 | Arterial road | 2.867 | 0.779 | 13.545 | 0.000 | 17.584 | Constant | 5.260 | 2.361 | 4.963 | 0.000 | 192.481 |
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