hw-301

This project demonstrates how advertising budgets across TV, Radio, and Newspaper channels influence product sales using the classic Advertising dataset. The analysis begins with a Simple Linear Regression (Sales ~ TV) to explore the direct impact of television advertising on sales. It then advances to a Multiple Linear Regression model that incorporates Radio and Newspaper expenditures to measure their combined predictive strength. • Visualizations created with ggplot2 and plotly illustrate both two-dimensional and interactive 3D relationships among variables. Adjusted R^2 and ANOVA comparisons reveal how expanding the model improves explanatory power - from 61% with TV alone to nearly 90% when all media are included. • This project highlights how statistical modeling supports data-driven marketing decisions and demonstrates a reproducible workflow in R Markdown (ioslides) for clear communication and insight sharing.

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