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...
Gorde:
| Egile Nagusiak: | , |
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| Formatua: | Artikulua |
| Hizkuntza: | ingelesa |
| Argitaratua: |
2014
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| Gaiak: | |
| Sarrera elektronikoa: | http://localhost:8080/xmlui/handle/123456789/3491 |
| Etiketak: |
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| Gaia: | 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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