Develop a function in matlab or python for general linear least square regression with the prototype given below (in matlab): function [a, r2]=genreg(func, x,y) % generates a general regression curve and % plots the curve along with data points % [a, r2]=genreg(func, x,y) % input: % func: name of the function calculating the basis function (z) % x, y: data points % output: % a: regression curve coefficients % r2: coefficient of determination % calculate the regression curve coefficients (a) z=func(x); % calculate r2 % plot the regression curve along with the data end where the input argument func is a separate m-file function calculating the basis functions z1, . . , zm. test your function by fitting a second order polynomial y = a0 + a1x + a2x 2 to the following data. report your results for a0, a1 and a2 as well as the coefficient of determination (r 2 ). show a plot of the regression curve along with the data. x 0 1 2 3 4 5 y 2.1 7.7 13.6 27.2 40.9 61.1