This document analyzes an automobile dataset to understand relationships between features and predict car prices. It performs exploratory data analysis including univariate analysis to understand attribute distributions and correlation analysis. It finds price is correlated with engine size and horsepower. A linear regression model is created relating price to engine size, which shows price increases with larger engines. The dataset is from the UCI Machine Learning Repository and contains technical specifications and insurance loss data for various car models.