Assume that, instead of fitting regression model Yi = α + βXi + ui by least squares, you instead fit model Yi = γ + δZi + ui where Zi = 3 + 10Xi. Determine the least squares estimators γ and δ for this second model associated to corresponding LS estimators α and β of first model? Figure out how Z, s^2Z, and sYZ are associated to X, s^2X and sYX.