Given the following information { x = 18; _ 22 = 64; { y = 24; < y2 = 124; _ xy = 57; n = 6 (a) (2 points) The least squ
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Given the following information { x = 18; _ 22 = 64; { y = 24; < y2 = 124; _ xy = 57; n = 6 (a) (2 points) The least squ
Given the following information { x = 18; _ 22 = 64; { y = 24; < y2 = 124; _ xy = 57; n = 6 (a) (2 points) The least squares estimate of y-intercept coeffiecient is i. 8.5 ii. -1.5 iii. -1.3 iv. 4.0 (b) (2 points) The least squares estimate of slope coefficient is i. 8.5 ii. -1.5 iii. -1.3 iv. 4.0 (c) (2 points) The estimated regression line is i. Y = -1.3 + 4x ii. y = 4.0 – 1.3.6 iii. y = -1.5 + 8.5.0 iv. y = 8.5 – 1.50 (d) (2 points) The value of s is i. 2.317 ii. 1.172 iii. 1.374 iv. 1.552 (e) (2 points) The linear correlation coefficient is i. 0.804 ii. 0.897 iii. -0.804 iv. -0.897 (f) (2 points) The linear dependence between x and y is strong positive i. True ii. False
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