If There Is No Relationship Between the X and Y

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If there is no relationship between the X and Y variables and we desire to predict Y given X using a least-squares criterion, it is best to predict If there is no relationship between the X and Y variables and we desire to predict Y given X using a least-squares criterion, it is best to predict   for every Y score. Is this correct? If so, explain why. (Hint: one of the properties of the mean might be helpful here) for every Y score. Is this correct? If so, explain why. (Hint: one of the properties of the mean might be helpful here)

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