Least-Squares Regression Method Definition: A method of separating a mixed cost into its fixed and variable elements by fitting a regression line that minimizes the sum of the squared errors.
Define least Squares Regression Method
A statistical method to decide the line of best fit for a model. The least squares method is indicated by an equation with certain parameters to observed data. This method is extensively used in regression analysis and estimation.