# Multivariate Regression Techniques for Analyzing Auto-Crash Variables in Nigeria

 dc.contributor.author Awe, Olushina Olawale dc.contributor.author Adarabioyo, Mumini dc.date.accessioned 2014-09-01T10:57:57Z dc.date.accessioned 2018-10-29T11:14:28Z dc.date.available 2014-09-01T10:57:57Z dc.date.available 2018-10-29T11:14:28Z dc.date.issued 2011 dc.identifier.citation Awe, Olushina Olawale and Adarabioyo, Mumini Idowu (2011). Multivariate Regression Techniques for Analyzing Auto-Crash Variables in Nigeria. Journal of Natural Sciences Research, 1(1) en_US dc.identifier.uri http://localhost:8080/xmlui/handle/123456789/3491 dc.description.abstract It is unequivocally indisputable that motor vehicle accidents have increasingly become a major cause of concern for highway safety engineers and transportation agencies in Nigeria over the last few decades. This great concern has led to so many research activities, in which multivariate statistical analysis is inevitable. In this paper, we explore some regression models to capture the interconnectedness among accident related variables in Nigeria. We find that all the five variables considered are highly interrelated over the past decade, resulting in a high risk of mortality due to auto-crash rate. The result of our analysis, using an appropriate statistical software, also reveals that the simple regression models capture the relationships among the variables more than the multiple regression model considered. en_US dc.language.iso en en_US dc.subject Multivariate Model en_US dc.subject Analyzing en_US dc.subject Regression en_US dc.subject Data en_US dc.subject Accident en_US dc.subject Rate en_US dc.title Multivariate Regression Techniques for Analyzing Auto-Crash Variables in Nigeria en_US dc.type Article en_US dc.department Mathematics en_US dc.faculties Science en_US dc.format.filetype PDF en_US dc.pages.totalpages 15 en_US
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