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QUESTION
Suppose you t the linear model Y = 0 + 1X1 + . + pXp.
Suppose you fit the linear model Y = β0 + β1X1 + ... + βpXp. What would be the effect on bias and variance of your model if you include an additional predictor Xp+1, assuming that Y and Xp+1 are independent?
