Task 1: Consider that the given points are as follows: (x, y) : {(1,5) (3, 7)} M,C: [2 5][4 3] You would like to fit a polynomial (of up to degree 1) through these data points. That is, you want a...

Extracted text: Task 1: Consider that the given points are as follows: (x, y) : {(1,5) (3, 7)} M,C: [2 5][4 3] 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- ý) 2 for all the data points. The lowest sum represents the best fit. Note: Use Genetic Algorithm.