What is question A and D answer?

An engineer wanted to determine how the weight of a car affects gas mileage. The accompanying data represent the weights of various domestic cars and their gas mileages in the city for a certain model year. Complete parts (a) through (d) below. Click here to view the car data. Click here to view the table of critical values of the correlation coefficient. X Car Data Critical Values for the Correlatic (a) Determine which variable is the likely explanatory variable and which is the Car Weight Miles per O Critical Values for Correlation (Ibs) Gallon Car 1 3,755 O The explanatory variable is the miles per gallon and the response variable Car 2 3,984 3 0.997 O The explanatory variable is the weight and the response variable is the m Car 3 3,590 4 0.950 Car 4 3,175 5 0.878 (b) Draw a scatter diagram of the data. Choose the correct graph below. Car 5 2,580 6 0 .811 Car 6 3,730 7 0.754 JON 985858 O B. Car 7 2,605 8 0.707 OA . Car 8 3,772 9 0.666 Car 9 3.310 10 0.632 4100- Car 10 2,991 11 0.602 Car 11 2,752 12 0.576 Miles per Gallon 23 13 0.553 Weight (Ibs) 3300 14 0.532 15 0.514 2500 2500 3300 4100 15 23 31 Weight (Ibs) 16 0.497 Miles per Gallon Print Done 17 0.482 18 0.468 (c) Compute the linear correlation coefficient between the weight of a car and i 19 0.456 20 0.444 21 0.433 = 0.937 22 0.423 (Round to three decimal places as needed.) 23 0.413 (d) Comment on the type of relation that appears to exist between the weight of a car and its miles per gallon based on the scatter diagram and the linear correlation coefficient. 24 0.404 25 0.396 The variables weight of a car and its miles per gallon are positively associated because r is | positive and the absolute value of the correlation coefficient is |greater than the critical value 26 0.388 27 0.381 (Round to three decimal places as needed.) 28 0.374 29 0.367 30 0.361 C