DOI: 10.36347/sjpms.2021.v08i01.003

Pages: 14-18

Road traffic crashes in Edo State Nigeria was considered in this paper, secondary data were mainly used, and was sourced from the office of the Federal Road Safety Corps; Policy, Research and Statistics Department RSHQ Abuja. In order to determine how well a set of independent variables (Mechanical Fault, Reckless Driving and Over-Loading) can predict road accidents in the state of Edo, Regression Analysis was used, indicating the best road accident predictor in the state. The results show that the assumptions of Normality, Homoscedasticity, Freedom, Linearity, Multicollinearity and Outliers are not violated. The three predictors significantly predicted road accident {F(3,9) = 14.132, p-value =0.001 < 0.005}, R2adjusted= 0.767; 76.7% , of the total variance in road accident cases was explained by the model, Mechanical Fault made the strongest unique significant contribution to explaining road accident cases when the variance explained by all other variables in the model is controlled for (βeta value = 0.841, p-value = 0.001), Reckless driving made less of a contribution (βeta value =0.591, p-value = 0.004), while overloading did not make a significant contribution to the prediction of road accident when the variance explained by other variables in the model is controlled for (βeta value = 0.173, p-value = 0.228). The developed prediction model is; Number of Road Accident = 6.407 + 1.300Reckless Driving + 1.959Mechanical Fault + 0.733Overloading.