Question: Show that an alternate computing formula for the regression sum of squares in a linear regression model is [S S_{mathrm{R}}=sum_{i=1}^{n} hat{y}_{i}^{2}-n bar{y}^{2}]

Show that an alternate computing formula for the regression sum of squares in a linear regression model is \[S S_{\mathrm{R}}=\sum_{i=1}^{n} \hat{y}_{i}^{2}-n \bar{y}^{2}\]

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