MULTIPLE LINEAR REGRESSION

where K β β β , , , 1 0 L are the unknown regression coefficients (parameters) of the model and its is assumed that the stochastic errors i ε are independent and identically distributed with zero mean and constant variance. In this setting it is optimal (ala the Gauss-Markov theorem) to estimate these parameters by the method of least squares which minimizes the following sum of squares errors function