The article explores the relationship between wear rate and hardness in laser-cladded Ti and TiB2 nanocomposites on steel rail. The researchers used linear and quadratic regression models to analyze the factors' relationships. The models showed a significant correlation between hardness and wear rate, with the quadratic model providing more accurate predictions. The study highlights the importance of optimizing the regression analysis for better analytical results.