The Application of Logistic Regression Analysis to the Cummulative Grade Point Average of Graduating Students: A Case Study of Students’ of Applied Science, Federal Polytechnic, Ilaro

Abstract

Logistic regression deals with the relationship existing between a dependent variable and one or more independent variables.  It provides a method for modelling a binary response variable which takes values 1 and 0.  In this study, a brief review of the underlying theory for the approach is presented and the logistic regression model to estimate the graduating cumulative grade point average (CGPA) of graduates were fitted and tested.  Data were collected from School of Applied Science, Federal Polytechnic, Ilaro, Ogun State.  The study reveals that the final year grade point average (GPA) of the graduates has significant effect among other variables.

Keywords: Logistic Regression, Odd Ratio, Cgpa, Statistical Significance, Log Likelihood, Standard Error