A Study on the Pricing of Used Sailboats Based on Clustering and Linear Regression

Abstract

The trading situation of the used sailboat market changes due to factors such as region, market demand and season, and the price fluctuates accordingly. In order to give a reasonable used sailboat pricing model, this paper first clusters the hull characteristics and sailboat models by k-means, and then establishes a linear regression model with the clustered results and the regional economic level. In order to explore whether the regional location has an impact on the pricing, this paper substitutes the data from different regions into the model, compares the coefficients of sailboat models of the same cluster to reflect the differences of regional effects between different regions, and finds that the regional effects of different clusters of ships are different in different regions. Finally, the model is applied to Hong Kong to test the practical application effect of the model. This study has reference value for the pricing of used sailboats.