2. (4 points) Below are four potential functions for fitting data. . Circle or write out the letters corresponding to the functions with which we can perform linear least squares fitting. . Write the number of fitting coefficients for each function. (a) f(x) = aebr ( b) f (2) = na (c) f(x) = ax4 + btan(cx) (d) f(x) = ax3 + be" + clog(x) + dProblem 1 (20 points) - Linear Least-Squares Fitting/Regression (hand calculation/derivation) Consider the following data: 2 4 6 7 10 11 14 17 20 4 5 6 5 8 8 6 9 12 Use linear least-squares regression to determine the coefficients m and b in the function y = mx + b that best fits the data. Plot your fit along with the data