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The Model Y^\hat { Y } = B0 + B1x1 + B2x2 Is Used Whenever the

Question 9

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The model Y^\hat { Y } = b0 + b1x1 + b2x2 is used whenever the statistician believes that:


A) E(y) is linearly related to x1 and the predictor variables do not interact.
B) E(y) is linearly related to x2 and the predictor variables do not interact.
C) Either A or B is correct.
D) Both A and B are correct.

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