Your textbook only analyzed the case of an error-in-variables bias of the type i= Xi + wi.What if the error were generated in the simple regression model by entering data that always contained the same typographical error,say
i= Xi + a or
i= bXi,where a and b are constants.What effect would this have on your regression model?
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