Multiple Linear Regression for Academic Achievements for Public Universities in Malaysia

Authors

  • Nasuhar Ab.Aziz Faculty of Computer and Mathematical Sciences, UiTM Kelantan, Kota Bharu Campus, 15150 Kelantan, Malaysia

Abstract

The relationship between socioeconomic status (SES) and academic achievement has been thoroughly studied in earlier educational research. Explanatory research design was employed to assess the effects of SES on the academic achievement of students for public universities students. A survey self-administered questionnaire distributed to 300 students of UiTM Kota Bharu. Multiple linear regression (MLR) is one of the most popular techniques used in analyzing and predicting academic performance. Hence, the aims of this study to evaluate MLR in finding the relationship between family SES and academic performance. It was found that parent’s educational level, parent’s employment, parent’s income, home environment were significant factors that affected students’ performance.

Keywords:

Academic achievement, Multiple linear regression (MLR), public universities, socio-economic status (SES)

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Published

2022-12-31

How to Cite

Nasuhar Ab.Aziz. (2022). Multiple Linear Regression for Academic Achievements for Public Universities in Malaysia. Applied Mathematics and Computational Intelligence (AMCI), 11(2), 350–359. Retrieved from https://ejournal.unimap.edu.my/index.php/amci/article/view/126

Issue

Vol. 11 No. 2 (2022): December (2022)

Section

Articles