Binary logistic regression analysis on addmiting students using jamb score

This research work was carried out using the record of applicants whose apply for admission into Kano University of Science and Technology, Wudil. The researcher apply the Binary logistic regression analysis technique to form a model that will be fit for the data and to know if there is any significance of the two independent variables that is Gender and Jamb scores of the students on the dichotomous dependent variable (admitted/not admitted) for the student. And the analysis indicated that the gender is not significance in predicting the dependent variable as its p-value is greater than 0.05 while jamb score is significance in the predicting the dependent variable because it’s p-value is less than 0.05 and by looking at the goodness of fit I found out that the model is fit since the value is not 0.05 and at least one of the independent variable (jamb score) is significant.