O.  Okafor Ray, O.  Abass, E.  Ahani, 
    Application of Logistic Regression Model to Graduating CGPA of University Graduates,
    Journal of Modern Mathematics and Statistics,
    Volume 4,Issue 2,
    2010,
    Pages 58-62,
    ISSN 1994-5388,
    jmmstat.2010.58.62,
    (https://makhillpublications.co/view-article.php?doi=jmmstat.2010.58.62)
    Abstract: Logistic regression model deals with the relationship that exists between a dependent variable and one or more independent variables. It provides a method for modeling a binary response variable which takes values 1 and 0. In this stuty, 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 Faculty of Science, University of Lagos. The study reveals that the final year Grade Point Average (GPA) of the graduands has significant effect among all other variables.
    Keywords: diagnostic test;categorical variables;binary data;Logistic regression;grade point average;University of Lagos