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2 changes: 1 addition & 1 deletion supplemental/slr-derivations.qmd
Original file line number Diff line number Diff line change
Expand Up @@ -15,7 +15,7 @@ $$
SSR = \sum\limits_{i=1}^{n}[y_i - \hat{y}_i]^2 = [y_i - (\hat{\beta}_0 + \hat{\beta}_1 x_i)]^2 = [y_i - \hat{\beta}_0 - \hat{\beta}_1 x_i]^2
$$ {#eq-ssr}

Recall that we can find the values of $\hat{\beta}_1$ and $\hat{\beta}_0$ that minimize /eq-ssr by taking the partial derivatives of @eq-ssr and setting them to 0.
Recall that we can find the values of $\hat{\beta}_1$ and $\hat{\beta}_0$ that minimize @eq-ssr by taking the partial derivatives of @eq-ssr and setting them to 0.
Thus, the values of $\hat{\beta}_1$ and $\hat{\beta}_0$ that minimize the respective partial derivative also minimize the sum of squared residuals.
The partial derivatives are shown in @eq-par-deriv.

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