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. a) determine which variable is less likely explanatory variable and which is the likely response variable. Choose the correct answer below.a. The explanatory variable is the weight and the response variable is the miles per gallonb. The explanatory variable is the miles per gallon and the response variable is the weightB) draw a scatter diagram of the data. C) compute the linear correlation coefficient between the weight of a car and its miles per gallon Fill in the blank for part DD) the variables weight of a car and it's miles per gallon are negatively/positively/ or not associated because r is negative/ zero/ positive and the absolute value of the correlation coefficient is greater/ less than the critical value ____ . (Round to three decimal places)

A B C Car Weight (Ibs) | Miles per Gallon Car 1 3775 19 Car 2 3964 17 Car 3 3530 21 Car 4 3175 22 Car 5 2580 27 Car 6 3730 18 Car 7 2605 26 Car 8 3772 17 Car 9 3310 20 Car 10 2991 25 Car 11 2752 26