\fThe accompanying data give the percentage of new vehicles bought with four-wheel drive, region by region for each of 48 regions in a country. The data include the average temperature in that region in January. Complete parts (a) through (d) below. @ Click the icon to view the data on temperatures and percent four-wheel drive. A::y (a) Do you expect the correlation between these variables to be positive or negative? Explain your choice. '3. .I' A. The correlation should be negative, because lower temperatures in winter mean more snow and thus more need for four-wheel drive. '3. .I' B. The correlation should be negative, because lower temperatures in winter mean more snow and thus less need for four-wheel drive. ':_ J C. The correlation should be positive, because higher temperatures in winter mean more snow and thus more need for four-wheel drive. '3. .I' D. The correlation should be positive, because higher temperatures in winter mean more snow and thus less need for fourwheel drive. (b) Draw the associated scatterplot. Does the direction of the association match what you expected to nd? Which scatterplot below shows the data? ilA. {ha {)0 {ha a Q 0: O 0/9 4-Wheel Drive 0/9 4-Whee| Drive o/o 4-Whee| Drive 0/0 4-Whee| Drive Temp. (degrees F) Temp. (degrees F) Temp. (degrees F) Temp. (degrees F) Does the direction of the association match what you expected to find? Ebecause: (c) In which region(s) is the percentage choosing fourwheel drive the highest? Lowest? The percentage choosing four-wheel drive is the highest in region(s) |:|. (Use a comma to separate answers as needed.) The percentage choosing four-wheel drive is the lowest in region(s) |:|. (Use a comma to separate answers as needed.) (d) Find the correlation between the variables. r=D (Round to three decimal places as needed.)