A national restaurant chain is composed of $6500$ restaurants, each of which is located in close proximity to an

interstate highway. The restaurant's business strategy is to serve its core customer base: people travelling on the

interstate highway system who are looking for a quality dining experience. Customers generally enjoy the

restaurant chain's menu, atmosphere, and consistency from restaurant to restaurant. The company's leadership,

located at corporate headquarters, is very interested in the relationship between the cost of a gallon of gasoline

and the company's revenue. Specifically, the company is concerned that if gasoline prices rise in the near future,

the company's revenue will decline dramatically. The company's research department recently collected data for

analysis in order to support leadership's upcoming discussion of whether the company should expand and diversify

to locations away from an interstate highway. Annual revenue figures from a random sample of $150$ restaurants

were collected. The research division also collected and calculated the average annual cost of gasoline at these

$150$ restaurants by randomly selecting three gasoline stations near each restaurant. Historical data was then used

to calculate the average annual cost of gasoline. The Restaurant Number, Geographic Region, Annual Revenue,

Average Cost of Gasoline, Miles from the Interstate, Square Footage and Annual Increase in Revenue were

collected for these $150$ restaurants.

geograpnic regions. beyond annual revenue, there is a more dynamic inalcator now well the restaurants are doing:

if they are growing or not, which is recorded by the variable Annual Increase in Revenue. Is there an association

between geographic region and growth? Generate a contingency table with Geographic Region as row variable

and Annual Increase in Revenue as column variable.

If we wish to investigate if restaurants in one region do better than restaurants in other regions with respect to

Annual Increase, what display do we need?

A$.$ Column percent

B$.$ Percent of total

C$.$ Expected count

D$.$ Row percent