Limitations and Future Directions of a Sailboat Price Prediction Model

This study presents a sailboat price prediction model, however, the chosen regression method exhibits a slower convergence rate compared to alternative regression methods. Additionally, the economic data employed to describe sailboat purchasers is insufficient, and the disparity in tax rates across regions has not been considered. Consequently, the established model can be further enhanced and expanded.

To attain improved fitting results, it is recommended to employ a broader range of regression models for a comprehensive comparative analysis. Moreover, incorporating additional evaluation parameters will enable a more precise assessment of the model's quality.

Regarding personal parameters, incorporating more information about sailboat purchasers, such as the volume of luxury goods purchases in different regions, can enhance the accuracy of sailboat price predictions.

Furthermore, import tax rates and shipping costs between regions should be considered. When significant price discrepancies exist for used sailboats across regions, purchasers may opt to import sailboats from other areas. When calculating prices, it is essential to compare import taxes, freight costs, and local sailboat purchase prices, as this represents a crucial decision factor.