Anational 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, Cost of Gasoline, Miles from the Interstate, Square Footage and Annual Increase in Revenue were collected for these 150 restaurants. StatCrunch Data Set As important as the geographic spread itself are the business perspectives of the restaurants in these different by the variable Annual Increase in Revenue. Is there an association behween oeogranhic reo and erontha C pne ngiors. beyond annual fevenue, there is a more dynamic indicator how well the restaurants are doing: f they are growing or not, which is recorded 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? O A Column percent O B. Percent of total OC. Expected count O D. Row percent

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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.
StatCrunch Data Set
As important as the geographic spread itself are the business perspectives of the restaurants in these different geographic regions. Beyond annual revenue, there is a more dynamic indicator how 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?
O A. Column percent
B. Percent of total
C. Expected count
D. Row percent
Transcribed Image Text: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. StatCrunch Data Set As important as the geographic spread itself are the business perspectives of the restaurants in these different geographic regions. Beyond annual revenue, there is a more dynamic indicator how 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? O A. Column percent B. Percent of total C. Expected count D. Row percent
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