The ordinary linear regression method is limited to bivariate data because it is based on the Cartesian representation y = f(x). Using the chain rule. we transform the method to the parametric representation (x(t). y(t)) and obtain a linear regression framework in which the weighted average is used as a parameter for a multivariate linear relation for a set of linearly related variabl... https://www.jalyttlers.shop/product-category/accessories/