Derivation of the Ordinary Least Squares Estimator

The sum of the squared errors or residuals is a scalar, a single number. In matrix form, the estimated sum of squared errors is: (10) where the dimensions of each matrix are shown below each matrix and the symbol represents the matrix transpose operation. The following example illustrates why this definition is the sum of squares. ................
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