Suppose That Instead Of Fitting The Regression Model Yi Xi Ui By Least Squares Y

Suppose that, instead of fitting the regression model Yi = α + βXi + ui by least squares, you insteadfit the model Yi = γ + δZi + ui where Zi = 3 + 10Xi. How are the least squares estimators γ and δ forthis second model related to the corresponding LS estimators α and β of the first model? [Hint: figureout how Z, s^2Z, and sYZ are related to X, s^2X and sYX.]

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