The following data is given: Write a C-code: (a) Use liner regression to determine the coefficients m and b in the function y = mx + b that best fits the data. (b) Use S = sigma_i=1^n e_i^2 = sigma_i=1^n (y_i - a_0 - a_1 x_i)^2 to determine the overall error