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Multivariate Regression Techniques for Analyzing Auto-Crash Variables in Nigeria

dc.contributor.authorAwe, Olushina Olawale
dc.contributor.authorAdarabioyo, Mumini
dc.date.accessioned2014-09-01T10:57:57Z
dc.date.accessioned2018-10-29T11:14:28Z
dc.date.available2014-09-01T10:57:57Z
dc.date.available2018-10-29T11:14:28Z
dc.date.issued2011
dc.identifier.citationAwe, 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.urihttp://localhost:8080/xmlui/handle/123456789/3491
dc.description.abstractIt 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.isoenen_US
dc.subjectMultivariate Modelen_US
dc.subjectAnalyzingen_US
dc.subjectRegressionen_US
dc.subjectDataen_US
dc.subjectAccidenten_US
dc.subjectRateen_US
dc.titleMultivariate Regression Techniques for Analyzing Auto-Crash Variables in Nigeriaen_US
dc.typeArticleen_US
dc.departmentMathematicsen_US
dc.facultiesScienceen_US
dc.format.filetypePDFen_US
dc.pages.totalpages15en_US


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