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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2014
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| author | Awe, Olushina Olawale Adarabioyo, Mumini |
| author_facet | Awe, Olushina Olawale Adarabioyo, Mumini |
| author_sort | Awe, Olushina Olawale |
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| 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. |
| format | Article |
| id | oai:ir.oauife.edu.ng:123456789-3491 |
| institution | My University |
| language | English |
| publishDate | 2014 |
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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 |
| work_keys_str_mv | AT aweolushinaolawale multivariateregressiontechniquesforanalyzingautocrashvariablesinnigeria AT adarabioyomumini multivariateregressiontechniquesforanalyzingautocrashvariablesinnigeria |