This project analyzes the relationships between study habits, exam performance, screen time, and sleeping hours using correlation analysis in R. Two datasets were imported from Excel files, and descriptive statistics were calculated to summarize each variable. Histograms and Shapiro–Wilk tests were used to assess normality, which guided the selection of Spearman correlations for both analyses. The results showed a strong positive relationship between study hours and exam scores, indicating that increased study time is associated with higher exam performance. A strong negative relationship was also found between screen time and sleeping hours, suggesting that higher screen use is linked to reduced sleep. Scatterplots with regression lines were created to visually confirm the direction, strength, and linearity of each relationship.