Paper Title
Discriminant Analysis Of Prepayment Of Gender Differences Borrowers

Abstract
As discriminant analysis cannot process dummy variables and continuous variables at the same time, this paper separates male and female borrowers in the data in the analysis of prepayment. According to the overall discriminant analysis of male borrowers, among the 8,747 data entries, 61.6% of the borrowers who make prepayment can be correctly classified by the discriminant functions, and the result is significant. In the cross reliability analysis, 61.6% of the male borrowers who make prepayment and 53.1% of the normal ones can be correctly classified by the discriminant functions. As far as the cross reliability analysis is concerned, 52.9% of the normal borrowers can be correctly classified by the discriminant functions. Therefore, the overall accuracy of the discriminant analysis on the male borrowers who make prepayment is 58.6%, and that of the cross reliability analysis is 58.4%. This indicates that as far as the overall data of male borrowers who make prepayment is concerned, the discriminant analysis exhibits significant judgment ability. Key word: Discriminant Analysis, Prepayment, Gender Differences