C. 20 D. 0 ____ 16. Determine the equation of the linear regression function for the data. 1 2 3 4 5 6 x 84 155 241 310 405 478 y A. = 79.7x 0.07 y – = 78.1x 1.07 B. y – C. = 79.7x + 0.07 y D. = 78.1x + 1.07 y ____ 17. The path of a shot put thrown at a track and field meet is modelled by the quadratic function = 20.7d 26.28) h(d) –0.048(d2 – – where is the height in metres and is the horizontal distance in metres. h d Determine the height of the discus when it has travelled 10 m horizontally. 6.2 m A. B. 6.4 m C. 6.6 m D. 6.8 m ____ 18. Determine the equation of the quadratic regression function for the data. 1 2 3 4 5 x 100.8 101.3 101.5 100.9 99.8 y A. + 1.5x + 99.6 y = –0.3x2 B. + 0.5x + 99.6 y = –1.3x2 C. + 1.3x + 99.6 y = –0.5x2 D. + 0.3x + 99.6 y = –1.5x2 ____ 19. Determine the equation of the cubic regression function for the data. 2 4 7 10 12 13 17 19 x 135 120 105 102 99 88 78 47 y 0.05x3 1.5x2 16x + 162.5 A. y = – – B. + 1.5x2 16x + 162.5 y = –0.05x3 – C. 0.05x3 + 1.5x2 + 16x 162.5 y = –
C. 20 D. 0 ____ 16. Determine the equation of the linear regression function for the data. x 1 2 3 4 5 6 y 84 155 241 310 405 478 A. y = 79.7x – 0.07 B. y = 78.1x – 1.07 C. y = 79.7x + 0.07 D. y = 78.1x + 1.07 ____ 17. The path of a shot put thrown at a track and field meet is modelled by the quadratic function h(d) = –0.048(d2 – 20.7d – 26.28) where h is the height in metres and d is the horizontal distance in metres. Determine the height of the discus when it has travelled 10 m horizontally. A. 6.2 m B. 6.4 m C. 6.6 m D. 6.8 m ____ 18. Determine the equation of the quadratic regression function for the data. x 1 2 3 4 5 y 100.8 101.3 101.5 100.9 99.8 A. y = –0.3x2 + 1.5x + 99.6 B. y = –1.3x2 + 0.5x + 99.6 C. y = –0.5x2 + 1.3x + 99.6 D. y = –1.5x2 + 0.3x + 99.6 ____ 19. Determine the equation of the cubic regression function for the data. x 2 4 7 10 12 13 17 19 y 135 120 105 102 99 88 78 47 A. y = 0.05x3 – 1.5x2 – 16x + 162.5 B. y = –0.05x3 + 1.5x2 – 16x + 162.5 C. y = 0.05x3 + 1.5x2 + 16x – 162.5
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