the equation of the least squares line for the data: (44.20, 1.30), (42.25, 3.25), (45.50, .65), (40.30, 6.50), (39.00, 5.85), (35.75, 8.45), (37.70, 6.50). a) Oŷ = 41.407 – 0.89210x b) Oỹ = 37.643 - 0.81100x c) Oỹ = 0.81100x - 37.643 d) Oģ= -37.643 – 0.81100x e) Oỹ= 37.643 - 0.89210x f) O None of the above Later Question 11 Which of the following would be the LSRL for the given data? х 3 4 7 13 15 16 y || 41 37 26 21 24 11 a) Oġ = 1.743 x + 43.51 b) Oŷ = -1.743 x + 43.51 c) Oŷ = -43.51 x – 1.743 th d) O 3 = 43.51 7 – 1.743 e) O None of the above Suppose you have the following data: х 1 2 3 4 5 6 y 43 37 29 21 20 13 and the LSRL is û = -5.971 x + 48.07. Find the residual value for x = 5. a) O -1.785 b) O 20 c) O 1.785 d) O 18.215 e) O None of the above Review Lat In the least-squares regression line, the desired sum of the errors (residuals) should be a) 01 b) O zero c) O positive d) O maximized e) Onegative Review Later
