What Are the Assumptions of the Least Squares Method?
The least squares method relies on several assumptions: the relationship between variables is linear, the residuals are normally distributed, the variance of residuals is constant (homoscedasticity), and observations are independent. While these assumptions may not always hold perfectly in toxicological data, the method can still provide robust results, especially when data transformations or weighted least squares are applied to address violations.
