A Multi-Variable Analysis of Academic Performance Determinants Using Sleep Hours, Study Practices, and Extracurricular Engagement

Abstract

This study aimed to investigate the more influential determinants of Academic performance. For this purpose, the study taken the sleep hours and extracurricular activities to develop the association of with students’ academic performance index along with some other variables like previous score, sample question papers practiced and hours studied. The data is collected from Kaggle for over 10000 students and statistical analysis are performed by using the statistical package STATA. Descriptive statistics are calculated to analyze the central tendency, dispersion, and shape of variables. Multicollinearity are checked by calculated correlation matrix and regression analysis has revealed that both extracurricular activities, sample papers practice, hour studied and sleep hours are affecting positive academic performance of students. The further by adding previous score in the model the results are significantly improved and it is indicated by the increased value of R2. One the basis of results of the study it is suggested to focus on the promotion of healthy sleep habit, enhancement of extracurricular opportunities, and implementation of comprehensive support programs to improve the academic performance index.