Question: (Partitioned Fit) In the previous chapter, we note in (3.16) that $$hat{beta_1} = [X_1'(I - P_x)X_1]^{-1}X_1'(I - P_x)y$$ is the solution to $$underset{beta_1}{min} (y
(Partitioned Fit) In the previous chapter, we note in (3.16) that
$$\hat{\beta_1} = [X_1'(I - P_x)X_1]^{-1}X_1'(I - P_x)y$$
is the solution to
$$\underset{\beta_1}{min} \ (y - X_1\beta_1)'(I - P_x)(y - X_1\beta_1)$$
if X is full-(column) rank.
(a) Exercise 4.6 does not imply this. Why not?
(b) Show that it is true nevertheless. (HINT: Recall that $I - P_x$ is symmetric and idempotent.)
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