are unknown and
must be estimated using sample data. The simple linear regression equation is also called the least
squares regression equation. It tells the criterion used to select the best fitting line, namely the sum of the
squares of the residuals should be least. That is, the least squares regression equation is the line for which
the sum of squared residuals