Multivariate Regression Techniques for Analyzing Auto-Crash Variables in Nigeria

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...

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Huvudupphovsmän: Awe, Olushina Olawale, Adarabioyo, Mumini
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Språk:engelska
Publicerad: 2014
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author Awe, Olushina Olawale
Adarabioyo, Mumini
author_facet Awe, Olushina Olawale
Adarabioyo, Mumini
author_sort Awe, Olushina Olawale
collection DSpace
description 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.
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spelling oai:ir.oauife.edu.ng:123456789-34912023-05-13T11:10:39Z Multivariate Regression Techniques for Analyzing Auto-Crash Variables in Nigeria Awe, Olushina Olawale Adarabioyo, Mumini Multivariate Model Analyzing Regression Data Accident Rate 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. 2014-09-01T10:57:57Z 2018-10-29T11:14:28Z 2014-09-01T10:57:57Z 2018-10-29T11:14:28Z 2011 Article 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) http://localhost:8080/xmlui/handle/123456789/3491 en PDF application/pdf
spellingShingle Multivariate Model
Analyzing
Regression
Data
Accident
Rate
Awe, Olushina Olawale
Adarabioyo, Mumini
Multivariate Regression Techniques for Analyzing Auto-Crash Variables in Nigeria
title Multivariate Regression Techniques for Analyzing Auto-Crash Variables in Nigeria
title_full Multivariate Regression Techniques for Analyzing Auto-Crash Variables in Nigeria
title_fullStr Multivariate Regression Techniques for Analyzing Auto-Crash Variables in Nigeria
title_full_unstemmed Multivariate Regression Techniques for Analyzing Auto-Crash Variables in Nigeria
title_short Multivariate Regression Techniques for Analyzing Auto-Crash Variables in Nigeria
title_sort multivariate regression techniques for analyzing auto crash variables in nigeria
topic Multivariate Model
Analyzing
Regression
Data
Accident
Rate
url http://localhost:8080/xmlui/handle/123456789/3491
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AT adarabioyomumini multivariateregressiontechniquesforanalyzingautocrashvariablesinnigeria