Journal of Mathematical Problems, Equations and Statistics
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P-ISSN: 2709-9393, E-ISSN: 2709-9407

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: 356 | Downloads: 143

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Journal of Mathematical Problems, Equations and Statistics
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.
Journal of Mathematical Problems, Equations and Statistics
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