Matlab Programming

Least Squares Fit to a Data Set by a Linear Function The following nine data points are nearly linear and can be approximated by a linear function z = c_1 x + c_2. Enter the x and y coordinates of the data points as column vectors x and y respectively. Set A=[x, ones(size(x))] Compute the least squares solution to the linear system Ac = y using the method developed in class. A^T Ac = A^T y Suggestion: Set K = A'*A and k = A'*y. c then will equal the last column of rref([K k]). r = rref([K k]) and then chat = r(:, 3) Now try out the MATLAB "\" operation which will do all the work for you and return the least squares solution automatically. chat = A\y To see your least squares line graphically