Predictive Modeling of Sailboat Prices: A Linear Regression Approach with Variable Weight Determination

Based on the linear relationship between multiple independent variables and a dependent variable, a predictive model for sailboat prices and the aforementioned influencing factors is established through machine learning on a data set to determine the weights of these independent variables. The calculated results show that the MSE for Monohulled Sailboats is 0.0822, and the R2 is 0.4390, while the MSE for Catamarans is 0.0480, and the R2 is 0.6214. Additionally, residual plots are used to test whether the regression model meets the basic assumptions. The residual plot shows that the residuals are uniformly distributed around 0, indicating that the residuals of the model are randomly distributed, which is an important assumption of the regression model.