Which quantitative cost estimation technique uses all historical data points to estimate fixed and variable cost components via mathematical regression?

Explanation

* Least-Squares Regression mathematically minimizes the sum of squared vertical deviations to fit a cost estimation line (Y = a + bX).
* Superior accuracy compared to the High-Low method which relies on only two extreme data points.
* Provides statistical evaluation metrics like R-squared.