ISSN: 2226-6348
Open access
This study aims to find the factor that affects students’ success in Introductory Statistics Subjects based on a Multiple Linear Regression (MLR). Gender and assessment achievements such as test 1, test 2, quiz, assignment, group project, and final test marks were investigated as predictors. The dependent variable is the overall marks of the subject. The results shows that test 1, test 2, assignment, project, and final test have a significant difference to the overall marks of the statistics subject. This study was carried out using SPSS software. In order to determine the significant variables, further research can be done using more sample size and more variables.
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In-Text Citation: (Pazil & Mahmud, 2023)
To Cite this Article: Pazil, N. S. M., & Mahmud, N. (2023). Multiple Regression in Determining Affecting Factors Student Success in a Statistics Subject. International Journal of Academic Research in Progressive Education and Development, 12(3), 492–499.
Copyright: © 2023 The Author(s)
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