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If SSEkS S E _ {k } Is the Error Sum of Squares Computed from a Model

Question 18

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If SSEkS S E _ {k } is the error sum of squares computed from a model with k predictors and n observations, then the mean squared error for the model is MSEkM S E_{k} = __________/__________.

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