This paper focuses on the factors influencing the price of used sailboats internationally. First of all, this paper collected the sales prices of various types of used sailboats and obtained the indicators of each factor that may affect their prices. Due to the existence of multiple influencing factors, this paper decided to establish a multiple regression model to analyze the influence of each factor on the price. After conducting the test, it was determined that there was no linear correlation. Then a polynomial regression model was constructed by introducing a cross term. And it was continued using partial F test. We analyzed the data step by step and concluded that there is no linear relationship between the prices of the two sailboats and their effects, they correspond to a polynomial regression relationship and passed the model test. Afterwards, in order to use the mathematical model that has been developed to focus on the influence of region on the price of sailboats, this paper uses hierarchical clustering to initially classify the data, we use the average market price of each type of sailing in a given region as a measure of influence, and we compute the specific equation relationship based on the algebra of the model by comparing the coefficients of the equations to analyze the influence of regional factors on the price of the boat, and we obtain the The conclusion that the influence is statistically significant. Finally, we analyzed all the data and drew conclusions of specific practical significance.