Development of a Navy recruiting vehicle budget model

Abstract

This thesis attempts to develop a predicting model for Commander, Navy Recruiting Command (CNRC) and Recruiting District Commanding Officers to use in distributing vehicles to each Navy Recruiting District. The thesis attempts to identify the relevant data on vehicle activity and vehicle costs across four Navy Recruiting Areas and 31 Navy Recruiting Districts that will be usefulness in developing a model to predict the demand for vehicles. The data file consists of pooled, cross-sectional time-series data covering three fiscal years, 1995, 1996, and 1997, and 31 Recruiting Districts. This data file is used to estimate regression models of vehicle demand using ordinary least squares techniques. The candidate independent variables whose values are statistically significant are used as the explanatory (predictor) variables to explain the variation in the number of vehicles across Districts. The thesis concludes that there is a strong relationship between the number of enlisted production recruiters and total vehicle mileage in explaining the number of recruiting vehicles. Using these relationships a simple model is developed that can be used to predict future vehicle demand by District and assist decision makers in making vehicle distribution decisions