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.
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