Derivation of the Ordinary Least Squares Estimator
We will return to this point later in the lectures. The second need is the explained sum of squares (SSR) or sum of squares of the regression (where the R comes from). SSR is simply the variation of the estimated y’s around their mean. SSR is defined as: (20) . Recall, the actual values for y and the estimated values for y have the same mean. ................
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