Note: - round all your calculations to at least 4 significant digits - the angles for trigonometric functions are in radian Question: You collected the following data from an experiment. X y 2.5 4.9 2 + 0.1 K 15.4 4+0.1 K 20.7 7 +0.1 K 45.3 Approximate y at x = 7.65 using : a) Linear regression y=Ax+B b) Data linearization to fit the points to the exponential function y=C ex c) Calculate SSE for the functions in parts (a) and (b), which function is better?