Dive into the sixth session of the "Essentials of Math Modeling" series, focusing on regression and statistical concepts. Explore linear regression, least squares estimation, and data transformations through MATLAB examples and practical applications. Learn how to evaluate model performance, conduct sensitivity analysis, and apply these techniques to real-world scenarios like SIR models. Engage in problem-solving sessions that reinforce concepts from previous sessions and provide hands-on experience with sample problems. Access supplementary materials, including handbooks, code, and slides, to enhance your learning experience throughout this comprehensive introduction to regression and statistical ideas in mathematical modeling.