4) (20 pt] Gilat problem 6.5. Express linear regression as a matrix problem and solve it manually by Gaussian elimination. You can use Matlab for calculations but not to solve the matrix problem. w 6.5 The following data is given: 2 -2 1.5 -1 3.2 0 4.5 1 3.4 2 a a Determine the coefficients a and b in the function y that best fit the data. (Write the function in x2 + b a linear form (Section 6.3), and use linear least-squares regression to determine the value of the coeffi- cients.) Once the coefficients are determined make a plot that shows the function and the data points