Box's M Test is a statistical test used to assess the equality of covariance matrices across multiple groups, which is crucial for validating assumptions in multivariate analysis of variance (MANOVA) and discriminant analysis. It is sensitive to deviations from multivariate normality, and significant results suggest heterogeneity of covariance matrices, potentially impacting the robustness of these analyses.