1. The following data is given: X 3 4 5 9 12 14 Y 2 4 5 6 7 9 11 (a) Solve by hand: Use linear least-squares regression to determine the coefficients m and b in the function y = mx + b that best fit the data. Please use the following equation: a, = (Hint: This should give you m) (x 43)(10x 43)-(14143)(1x 1/3) do = (Hint: This should give you b) (b) Then, resolve using Python as we did in class, by constructing the Z matrix. Show that you get the same solution. Also, determine the overall error in the same code