In epidemiology, understanding the relationships between various factors and health outcomes is crucial. R² provides a quantifiable measure to assess these relationships. For example, in studying the determinants of a disease, a high r² value indicates that the model explains a large portion of the variance in disease occurrence, which can be a powerful tool for identifying key risk factors.
