The educational research has been continuously and effectively benefitting from the Machine
Learning techniques since its emergence. Among others it included the multiple regression
which is a multivariate technique used to determine the correlation that may exist between a
dependent variable and a combination of multiple predictor variables. This paper presents a
multiple linear regression model to analyze students’ final grades in four mathematics
courses and their correlation with the response variable, the CGPA. The outcome shows that
students’ performance in mathematics courses may affect their overall performance in a
university degree program. Finally, the study recommends that higher education institutions
and faculties are required to work collaboratively and hard towards adopting learnercentered
teaching methodologies for improving students’ performance in mathematics.
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