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  5. Multiple Linear Regression for Academic Achievements for Public Universities in Malaysia
 
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Multiple Linear Regression for Academic Achievements for Public Universities in Malaysia

Journal
Applied Mathematics and Computational Intelligence (AMCI)
ISSN
2289-1315
Date Issued
2022-12
Author(s)
Nasuhar Ab.Aziz
Universiti Teknologi MARA
Farahan Mirhani Ishak
Universiti Teknologi MARA
Hariz Aiman Mat Yusoff
Universiti Teknologi MARA
Ummi Sharmimi ‘Aradaton
Universiti Teknologi MARA
Siti Nurhafizah Mohd Shafie
Universiti Teknologi MARA
MohdNoor Azam Nafi
Universiti Teknologi MARA
Azzah Amran
Universiti Teknologi MARA
Wan Zakiyatussariroh Wan Husin
Universiti Teknologi MARA
Syazwani A. Malek @ Abdul Malek
Universiti Teknologi MARA
Handle (URI)
https://hdl.handle.net/20.500.14170/14577
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.
Subjects
  • Academic achievement

  • Multiple linear regre...

  • Public Universities

  • Socio-Economic Status...

File(s)
Multiple Linear Regression for Academic Achievements for Public Universities in Malaysia.pdf (443.14 KB)
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Acquisition Date
Mar 5, 2026
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Acquisition Date
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