I The following measurements were taken on a sample n = 12 Spruce trees selected at random from a stand. (X = diameter(cm) (at breast height) and Y = height (m)). The data are tabulated below: [WM-mm] mm-M Ex= 205.4, 2y = 211.5, 2:? = 3796.38, 2;? = 3895.19, 239/ = 3817.58 E = \"1M? 75 : 114,125 1. Thevalueofox is: A it: , :2)(j ED 2. The value of 53;, is: c. _ - 3. The value of Say is: e, Choices for l. to 3. a) 122.0 b) 164.7 s 0) 167.5 (1) 177.7 $150 e) 197.4 1) 205.1 g) 241.6 s11h) 280. 6 i) 381.4 j) 398.1 4. The value of Pearsons correlation coefficient r between X (diameter) and Y ( height) is: Choices 3) 0.084 b) 0.210 c) 0.244 d) 0.346 c) 0.413 f) 0.469 g) 0.643 h) 0.708 a i) 0.911 j) 0.953 5. The slope of the Least Squares line for predicting height (Y) from diameter (X) is: Choices a) -0.60 b) -0.43 c) -0.03 o d) 0.70 e) 0.78 f)1.11 g) 1.61 h) 1.76 i) 1.83 j) 1.93 6. The Yintercept of the Least Squares line for height (1') from diameter (X) is:: Choices ,. a)-14.2 b)-12.3 c)-10.4 d)-4.4 e)-2_g . 3: 2631971 '0 -0.6 g) 0.8 h) 2.5 475158" j) 7,7 7. Determine the predicted height (I; ) for the 7th tree using the least Squares regression line and its diameter (X): Choices 3) 15.5 b) 16.5 c) 17.3 d) 18.9 e) 19.2 f) 19.3 .. g) 19.4 h) 19. 9 i) 21.1 j) 21. 7 8. Determine the residual in predicting height (Y) for the 7th tree using the least Squares regression line and its diameter (X): Choices a) -2.06 b) l.89 c) -1.66 d) -1.51 e) -0T59 i) -0.45 g) 0.31 h) 0.97 '71) 1.12 j) 1.24