Let be the (k + 1) 1 vector of OLS estimates. (i) Show that for

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Let β̂ be the (k + 1) × 1 vector of OLS estimates.

(i) Show that for any (k + 1) × 1 vector b, we can write the sum of squared residuals as

SSR(b) = û'û + (B - b)'X'X(B - b).

(ii) Explain how the expression for SSR(b) in part (i) proves that β̂ uniquely minimizes SSR(b) over all possible values of b, assuming X has rank k + 1.

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