**Preview:** In this project, I conducted a comprehensive analysis to explore the **relationship between a soccer team's budget and its on-field performance using `R Programming`** . Using a dataset from FIFA, I screened and cleaned the data to ensure `accuracy` , identified `missing values` , and addressed outliers. I performed `hypothesis testing` , primarily focusing on the significance of transfer budgets in relation to various performance metrics like overall rating, attack, midfield, and defense. **The findings were visualized using scatter plots and regression lines, providing clear insights into how financial resources influence team success.** ### Summary of Findings: The t-tests revealed **significant relationships between the transfer budget and multiple team performance metrics**, supporting the alternative hypothesis. **Higher budgets are strongly associated with better overall performance**, including higher ratings in attack, midfield, defense, and prestige. **However, the negative relationship observed with club worth requires further investigation to understand potential underlying factors.**