gas Hilleagus An engineer wanted to determine how the weight of a car affects gas mileage. The accompanying data represent the weights of various domestic čars and theiP below. Click here to view the car data. Click here to view the table of critical values of the correlation .coefficient. (a) Determine which variable is the likely explanatory variable and which is the likely response variable. Choose the correct answer below. O The explanatory variable is the weight and the response variable is the miles per gallon. O The explanatory variable is the miles per gallon and the response variable is the weight. Question V (b) Draw a scatter diagram of the data. Choose the correct graph below. OA. OB. Oc. OD. 4100- 4100- 31- 3300 3300 2500 15 23 Mies per Gallon 15- 2500 31 3300 4100 23 2500 3300 4100 Weight (bs) 2500 15 Miles per Gallon 31 Weight (ibs) (c) Compute the linear correlation coefficient between the weight of a car and its miles per gallon. (Round to three decimal places as needed.) (d) Comment on the type of relation that appears to exist between the weight of a car and its miles per gallion based on the scatter diagram and the linear correlation coefficient. The variables weight of a car and its miles per gallon are V associated because r is and the absolute value of the correlation coefficient is v than the critical valueO (Round to three decimal places as needed.)