2023, Vol. 4, Issue 2, Part A
A logistic regression analysis on factors affecting students’ performance in Introductory mathematics: A case study from the University of Nigeria, Nsukka
Author(s): Nwakobi Micheal Nnamdi and Udeze Chisom
Abstract: A logistic model was fitted to data on some variables provided by questionnaire administered on 112 undergraduate students in introductory mathematics (MTH111) using the google form. The variables considered are gender, income, infrastructure, course presentation, rate of attendance, GPA, extra factors, study schedule, parental education qualification. The model also correctly classifies 82.2% of the overall cases; this is also an indication that the model is a good fit.
Pages: 69-75 | Views: 91 | Downloads: 40
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How to cite this article:
Nwakobi Micheal Nnamdi and Udeze Chisom. A logistic regression analysis on factors affecting students’ performance in Introductory mathematics: A case study from the University of Nigeria, Nsukka. Journal of Mathematical Problems, Equations and Statistics. 2023; 4(2): 69-75.
