Derivation of the Ordinary Least Squares Estimator
Figure 2. General simple linear regression problem of minimizing the sum of squared errors w.r.t. the intercept (b1) and slope (b2) parameters. Note in the notation in the text, a denotes the intercept and b denotes the slope. Figure 3. Graph showing the minimization of the sum of squared errors for the simple linear regression example ................
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