Consider the One-Variable Regression Model $Y _ { i } = \beta _ { 0 } + \beta _ { 1 } X _ { i } + u _ { i }$

Essay

Consider the one-variable regression model, $Y _ { i } = \beta _ { 0 } + \beta _ { 1 } X _ { i } + u _ { i }$
assumptions from Chapter 4 are satisfied. However, suppose that both Y and X are
measured with error, $\widetilde { Y } _ { i } = Y _ { i } + z _ { i } \text { and } \widetilde { X } _ { i } = X _ { i } + w _ { i }$
and independent of both Y and X respectively. If you estimated the regression model
$\widetilde { Y } _ { i } = \beta _ { 0 } + \beta _ { 1 } \widetilde { X } _ { i } + v _ { i }$ \quad using OLS, then show that the slope estimator is not consistent.