The best linear predictor of Y with respect to X 1 and X 2 is equal to
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The best linear predictor of Y with respect to X1 and X2 is equal to a + bX1 + cX2, where a, b, and are chosen to minimize
E[(Y - (a + bX1 + cX2))2]
Determine a, b, and c.
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