Analysis Report on the Used Car Market Pricing

Abstract

The Indian used car market has seen rapid growth, yet pricing complexity persists. This study develops a data - driven pricing engine using exploratory data analysis, preprocessing, and linear regression modeling. Analyzing a dataset of 7,252 used car listings with 14 variables, it identifies key price determinants. The model, with an R² of 0.83, shows that manufacturing year and engine power positively correlate with prices, while mileage and engine displacement cause depreciation. Geographic factors also influence pricing, with certain cities having premium prices. The findings offer actionable insights for improving pricing precision and strategic decision - making in the Indian used car market.