MODELLING FACTORS AFFECTING AVERAGE NUMBER OF STUDENTS CARRYOVER: A POISSON REGRESSION APPROACH

Abstract

This research work investigated a Poisson regression model that fit the average number of carryover a student will have and factors affecting average number of students carryover such as cumulative grade point average (CGPA), Sex, Age, Marital status (Single and Married), Residence (Inside the campus and outside the campus), Choice of course of study, Jamb Mathematics score and Relationships (dating or not dating). Data on average number of carryover for students used in this work were collected from Department of Statistics, Michael Okpara University of Agriculture, Umudike while data on other factors were collected primarily by use of questionnaires. Poisson log-linear regression model was used to fit the data collected. It was discovered that students living inside campus have lesser number of carryover than students living off campus and also it was observed that students who are married have greater number of carryover than those who are not. The number of student’s CGPA inside campus is greater than those students who live off campus. From the analysis obtained, we found out that the factors; CGPA, Marital status and Residence were the major contributors to the number of carryover for the students of statistics Department Michael Okpara University of Agriculture, Umudike.

Keywords: Poisson Regression, cumulative grade point average (CGPA), Age, Sex, Marital status, residence and relationships.