An Application of Logistic Regression Model in the Student’s Academic Performance at HUST, Vietnam

Abstract

In this paper, we use logistic regression model to study the factors affecting students’ results in the subject named ‘Analysis III (MI1130)’. The data is collected from the results of the questionnaires and the actual students’ academic performance given by the School of Applied Mathematics and Informatics (SAMI) of HUST. Data analysis provides a precise estimate of 5 factors that make an impact on students’ learning results in the subject, including the living environment, the CPA result, self-study time, difficulty in solving some Analysis III problems, and awareness of the application of the subject in reality. Then, some suggestions can be made to improve the quality of training and learning outcomes of students.