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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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