(Requires Appendix material)In deriving the OLS estimator,you minimize the sum of squared residuals with respect to the two parameters 0 and 1.The resulting two equations imply two restrictions that OLS places on the data,namely that and .Show that you get the same formula for the regression slope and the intercept if you impose these two conditions on the sample regression function.

Question

(Requires Appendix material)In deriving the OLS estimator,you minimize the sum of squared residuals with respect to the two parameters  0 and  1.The resulting two equations imply two restrictions that OLS places on the data,namely that  and  .Show that you get the same formula for the regression slope and the intercept if you impose these two conditions on the sample regression function.

Quizplus · Accepted Answer

The Answer of (Requires Appendix material)In deriving the OLS estimator,you minimize the sum of squared residuals with respect to the two parameters  0 and  1.The resulting two equations imply two restrictions that OLS places on the data,namely that  and  .Show that you get the same formula for the regression slope and the intercept if you impose these two conditions on the sample regression function.

(Requires Appendix Material)In Deriving the OLS Estimator,you Minimize the Sum