This project analyzes the average interest rate for 30-year fixed-rate mortgages over a 20-year period. Using a linear trend model, it examines historical trends and predicts future interest rates for 2024.

This analysis explores the relationship between Wet and Noise ratings and the likelihood of customers purchasing tires again. Using a logistic regression model, we assess the significance of predictors, evaluate model performance through metrics like McFadden R-squared and AUC, and predict purchase probabilities for different scenarios. The results demonstrate how tire performance impacts customer decisions.