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.
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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.
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