The landscape of statistical modeling has witnessed remarkable transformations over the past century. It has evolved from rudimentary comparative analyses to sophisticated methodologies capable of unraveling the complexities inherent in modern datasets. Linear Mixed Models (LMMs) represent a significant evolution in statistical modeling, offering a sophisticated approach that encapsulates both fixed and random effects.