Validating Regression Models to Assess Factors for Motorcycle Accidents in Tanzania
Science Journal of Applied Mathematics and Statistics
Volume 2, Issue 5, October 2014, Pages: 97-101
Received: Sep. 1, 2014;
Accepted: Sep. 18, 2014;
Published: Sep. 30, 2014
Views 2988 Downloads 349
Vicent Paul Nyakyi, School of Computational and Communication Science and Engineering, Nelson Mandela African Institution of Science and Technology, Arusha, Tanzania
Dmitry Kuznetsov, School of Computational and Communication Science and Engineering, Nelson Mandela African Institution of Science and Technology, Arusha, Tanzania
Yaw Nkansah-Gyekye, School of Computational and Communication Science and Engineering, Nelson Mandela African Institution of Science and Technology, Arusha, Tanzania
Follow on us
There are several ways in which regression model can be validated. One of the ways is a collection of new data to check model predictions (Snee, 1977). In Nyakyi et al. (2014) a multiple regression model was formulated, analyzed, and discussed to assess motorcycle accidents in Tanzania. The model included several factors which are wrong overtaking, legal status of not owning license, rough road, high speed, mechanical defect, personal status, experience of a driver, and tarmac road. All these factors were considered to be the causes of motorcycle accidents in Tanzania, specifically in Arusha and Kilimanjaro regions. This paper presents the analysis and discussion of the accidents problem using new data collected through questionnaire; the study's results are then compared with the results, predicted by the multiple regression models, for validation. Questionnaires were designed to access the extent to which identified factors cause motorcycle accidents, and the data is obtained from motorcycle stake holders who in this study are considered to have reliable information about motorcycle accidents in Tanzania. The results of the validation indicate that there is a good correlation between the data obtained from the questionnaire and the data produced by the regression model.
Questionnaires, Motorcycle Accidents, Fitting, Factors and Validation
To cite this article
Vicent Paul Nyakyi,
Validating Regression Models to Assess Factors for Motorcycle Accidents in Tanzania, Science Journal of Applied Mathematics and Statistics.
Vol. 2, No. 5,
2014, pp. 97-101.
Kamal, S. (2010). Serious Injury and Injurious Burden in Urban Bangladesh. Journal of Applied Science and Technology. 7:71-79
Koornstra, M., Broughton, J., Esberger, R., Glansdorp, C., Köppel, W., Taylor, F., Cauzard, J., Evans, A., Hantula, L., Piers,M. and Vanlaar, W. (2003). Transport safety Performance in the EU: a statistical overview. European Transport Safety Council, Brussels, Belgium, p. 32.
Mpinga, M. (2012). Tanzania Traffic Police Report. The Guardian News Paper December 25, 2012
Mwakapasa, E. G. (2011). Attitudes towards and practice of Helmet use Among Commercial
Nkwame, M. (2010, June 19). Motorcycle accidents claim 181 lives in four months. Taznania: Daily News.
Nyakyi, V., Kuznetsov, D. and Nkansah-Gyekye, Y. (2014). Mathematical Model to Assess Motorcycle Accidents in Tanzania. Journal of Mathematical Theory and Modeling .Vol.4, No.9, 112119
Peden, M., McGee, K. and Sharma, G. (2005). The injury Chart Book. A graphical overview of the global burden of injuries. Geneva: World Health Organization, 2000:5.
Rothenberg, J. (1989). The nature of modeling Rand.
Snee, R. D. (1977). Validation of regression models: methods and examples. Technometrics 19:415-428.