A visual walkthrough of simple linear regression using R's mtcars data: The least-squares criterion and its closed-form solution, fitting with lm(), residual diagnostics, an interactive 3D view of the error surface being minimized, inference on the slope, and prediction intervals. Built in R Markdown with ggplot2 and plotly.