This project explores the relationship between advertising spend and sales using simple linear regression. Using a marketing dataset that includes TV, radio, and newspaper advertising, the analysis evaluates how different channels impact sales performance. Visualizations and statistical results are used to support data-driven insights, highlighting that TV advertising has the strongest influence on sales, while radio shows a weaker but still positive relationship.