The Impact of Lifestyle Factors on Sleep Duration

Authors

• Jamal C, University of Central FloridaFollow

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Course Code

STA

Course Number

4164

Faculty/Instructor

Nathaniel Simone

Faculty/Instructor Email

nathaniel.simone@ucf.edu

About the Author

My name is Jamal Castor, this project was completed as part of my STA 4164 class. It focuses on applying regression modeling to analyze real world relationships between lifestyle factors and sleep duration.

Abstract, Summary, or Creative Statement

This project examines the impact of lifestyle factors on sleep duration using a multiple linear regression model. The dataset was sourced from Kaggle and includes 374 individuals and various predictors such as stress level, physical activity, heart rate, and age. Exploratory data analysis revealed a strong negative relationship between stress and sleep duration, while physical activity showed a weaker positive relationship.

A regression model was used to test these relationships. The results indicate that stress level is the most significant predictor of sleep duration, with higher stress linked to reduced sleep. Physical activity also showed a statistically significant positive effect, although much smaller. Heart rate and age were not found to be significant predictors.

Model diagnostics, including residual plots and Q-Q plots, suggest that the assumptions of the regression model are reasonably satisfied. One thing I learned from this project is the importance of stress management in improving sleep outcomes. One limitation of the study is that the dataset is synthetically generated, meaning real world data would improve accuracy.

Keywords

sleep duration; stress level; physical activity; regression analysis; data analysis; lifestyle factors; model diagnostics

Recommended Citation

C, Jamal, "The Impact of Lifestyle Factors on Sleep Duration" (2026). High Impact Practices Student Showcase Spring 2026. 66.
https://stars.library.ucf.edu/hip-2026spring/66