Car Resale Analysis

This project focused on identifying the key factors that influence the resale price of rebuilt vehicles. Using a simulated dataset of Subaru Impreza salvage cars, I built a multiple regression model to evaluate how age, mileage, interior type, and wheel type impact pricing. The goal was to create a predictive model that could be used to accurately price vehicles based on their characteristics.

Tools & Skills Used:
-SAS Studio
-Multiple Linear Regression
-Categorical Variable Analysis
-Data Visualization (Scatterplots & Boxplots)
-Predictive Modeling
-Statistical Interpretation