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Your Textbook Only Analyzed the Case of an Error-In-Variables Bias Xˉ\bar X

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Your textbook only analyzed the case of an error-in-variables bias of the type Xˉ\bar X 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 Xˉ\bar X i= Xi + a or Xˉ\bar X i= bXi, where a and b are constants. What effect would this have on your regression model?


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