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

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The Answer of Your textbook only analyzed the case of an error-in-variables bias of the type $\bar X$ _i= X_i + w_i. What if the error were generated in the simple regression model by entering data that always contained the same typographical error, say $\bar X$ _i= X_i + a or $\bar X$ _i= bX_i, where a and b are constants. What effect would this have on your regression model?

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

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