TY  - JOUR
T1  - Application of Logistic Regression Model to Graduating CGPA of University Graduates
AU - Okafor Ray, O. AU - Abass, O. AU - Ahani, E. 
JO  - Journal of Modern Mathematics and Statistics
VL  - 4
IS  - 2
SP  - 58
EP  - 62
PY  - 2010
DA  - 2001/08/19
SN  - 1994-5388
DO  - jmmstat.2010.58.62
UR  - https://makhillpublications.co/view-article.php?doi=jmmstat.2010.58.62
KW  - diagnostic test
KW  -categorical variables
KW  -binary data
KW  -Logistic regression
KW  -grade point average
KW  -University of Lagos
AB  - 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.
ER  -