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Home  >  Volume 35

A Multivariate Linear Regression Theoretic Approach to Modelling Road Traffic Accidents by B.U Oreko, S. Okiy,C.C Nwobi-Okoye and A.C Igboanugo (pages 193-200)
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Abstract

This work investigated the relationship that exist among road traffic accident outcomes in Nigeria namely; total road traffic cases, fatal accident cases, serious accident cases, minor accident cases, number of persons killed, number of persons injured and total casualty. A historical data of fifty-four years period (1960-2013) were obtained from the Department of Policy, Research and Statistics, Federal Road safety corps FRSC, Nigeria. Multivariate linear regression technique was adopted to explore the interrelatedness that exists among these road traffic accident outcomes in Nigeria. SPSS, MATLAB  AND EXCEL 2010 were used for the analysis. Each of these variables was used as response variable while others variables become the predictors. It was found that at 95 percent confident interval, Multicollinearity exist between total accident cases, fatal accident cases, serious accident cases, minor accident cases. Also strong correlation exists between total casualty and the number of persons killed and number of person injured. However, weak correlation was found to exist as the response variable is replaced interchangeably. From the result it was seen that every accident case is likely to be either serious or minor accident case. Hence concerted efforts are needed by all road users to comply with road traffic regulations.

Keywords:Road traffic cases, fatal accident cases, serious accident cases, minor accident cases

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