Logistic Regression in Determining Affecting Factors Student Success in an Introductory Statistics Subject
Abstract
This study aims to find the best model for predicting students’ success based on a binary logistic regression. This analysis was also used to determine the factor that affects student success in Statistics Subjects. Five different data partitioning sets were used. The results indicate that the data with a partitioning set of 70% for the estimation set and 30% for the evaluation set is the best fit model using six independent variables. The predictors under investigation were assessment achievements such as test 1, test 2, quiz, assignment, group project, and final test marks. The outcome showed a significant difference in test 2 and the final test marks in determining the factor affecting the subject's result. Besides, the overall model explained further that 95.8% of the sample was classified correctly. This study was carried out using SPSS software and excel. In order to determine the significant variables, further research can be done using the linear regression analysis method.
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