Student Performance and Study Habits: A Multiple Regression Analysis

Authors

• Alyssa A. Zichichi, University of Central FloridaFollow
• Zaineb Hedhili Razki, University of Central FloridaFollow

Streaming Media

Files

Course Code

STA

Course Number

4164

Faculty/Instructor

Instructor Nathaniel Simone

Faculty/Instructor Email

nathaniel.simone@ucf.edu

About the Author

My name is Alyssa Zichichi, a junior studying Computer Science with an interest in Statistics.

Abstract, Summary, or Creative Statement

The purpose of this project is to study which academic and lifestyle variables are related to a student's performance index. In this dataset, the response variable is Performance Index, and the predictors are Hours Studied, Previous Scores, Extracurricular Activities, Sleep Hours, and Sample Question Papers Practiced. The question is whether these variables help explain differences in student performance and which predictors appear to be the strongest.

This study gave us the opportunity to learn how to approach analysis after real-world data collection, and what the expected relationships between our variables should be. We also learned how to find limitations in datasets, extrapolate necessary data, and perform critical analysis on results to create a more accurate model.

Additional Resources

Link to dataset:

 https://www.kaggle.com/datasets/nikhil7280/student-performance-multiple-linear-regression?select=Student_Performance.csv

Keywords

Student Performance; Academic Performance; Study Time; Academic Outcomes; Regression Analysis; Sleep; Extracurricular; Scores

Recommended Citation

Zichichi, Alyssa A. and Razki, Zaineb Hedhili, "Student Performance and Study Habits: A Multiple Regression Analysis" (2026). High Impact Practices Student Showcase Spring 2026. 4.
https://stars.library.ucf.edu/hip-2026spring/4