This presentation explores how statistical modeling can be applied to Formula 1 performance analysis. Using a simulated lap-time dataset, we examine the relationship between average speed, tire wear, and lap time through regression techniques and visualizations. Interactive and static plots are used to illustrate key patterns, model assumptions, and performance trade-offs commonly faced in motorsport engineering and data-driven decision making.

Exploriing tsibble, facet_grid, ACF, etc

Homework 1 (Due February 11, 2026)

Dikerjakan oleh siti aisyah febriyanti dengan NIM 24031554158

Correlation assignment

Analyzing three point attempt samples analyzing the significance of outliers.