When fitting polynomial regression models, we often subtract x from each x value to produce a “centered’’ regressor x` = x – x. This reduces the effects of dependencies among the model terms and often leads to more accurate estimates of the regression coefficients. Using the data from Exercise 12-46, fit the model Y = Bo + B1x + B11 (x`)2 + έ Use the results to estimate the coefficients in the uncentered model Y = Bo + B1x + B11x2 +.