Just the function pls

Task 1: Briefly describe the method of constructing the linear least-squares approximation (regression) to the data points (xy) 1.,.,. , in the form ) ax), where f(Cx) are the basis functions and aj are the regression parameters obtained by minimising the total squared error E-x)) a write a Matlab functi a natural number n, will find the least-squares approximation with the basis functions f(x) return the vector a of the regression parameters , and the value of the minimum on which, given the input vectors x and y, containing the values x and y, respectively, and x1-1, j = 1, total squared error E. Use your function , n, and t variables x 1:length (myvec),y y myvec, and n 3. Include in your Report a plot of the input data points and the resulting estimation function (x)