2. (20pts) Consider the following data set: x=0, 1, 2, 3, 4, 5 y= 2, 5, 13, 34, 89, 231 Fit: a) a second-degree polynomial (a* x2 +b*x + c) .b) the function y=a*exp(b*x) Report the optimum values for the coefficients, compare the sum of squares of error between the two regressions and plot your data points and the functions