Students' Academic Performance Prediction using Regression: A Case Study

Performance of students in an academic program depends upon several aspects of their previous academic performance and family background. In the present study, multiple linear regression is adopted to predict students' performance and to determine the most influencing features of students' performance. Students' data are collected through a questionnaire-based survey from an engineering institution located in South India. Factor analysis is conducted on the collected dataset for dimensionality reduction and to evaluate the features that most correlate with students' performance. The proposed regression model yields prediction of academic performance in the second semester of the academic program in the case institution with a deviation of 15%.

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