Task 1: Consider that the given points are as follows: (x, y): {(1,5) (3, 7)} M,C: [25][43] You would like to fit a polynomial (of up to degree 1) through these data points. That is, you want a formula y = mx + c that gives you a reasonably good fit to the actual data. Compute the sum of (actual y-predicted y)2 i.e., (y-) 2 for all the data points. The lowest sum represents the best fit. Note: Use Genetic Algorithm