Given XL X, , y, best fitting data to y = f x by least squares requires minimization of -f(Xi)] (B) Sly, - f(Xl (c) ELv, 2. The following data 20 30 40 400 800 1300 is regressed with least squares regression to y ao + arr . The value of at most nearly is A) 27.480 B) 28.956 C) 32.625 D) 40.000 3. The following data x 1 20 30 40 Y 1 400 800 1300 is regressed with least squares regression to y,' = The value Of a, most nearly is 4. A) 27.480 B) 28.956 C) 32.625 D) 40.000 An instructor gives the same y vs. x data as given below to four students and asks them to regress the data with least squares regression to y = ao + . x 1 10 20 30 40 Y 1 100 400 600 1200 They each come up with four different answers for the straight-line regression model. Only one is correct. The correct model is y = 60x -1200 y - 200 y --139.43+29.684x y = I + 22.782x