11. In Chapter 9 we noted that the least squares coefficients in a regression model are found by minimizing the sums of squares of the errors as given in equation

(9.4). This is a nonlinear optimization problem. Using the Home Market Value data, set up a spreadsheet model to find the values for the slope and intercept using nonlinear optimization. Compare your answer with Example 9.3.