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Question 2 6 The Consumer Reports Restaurant Customer Satisfaction Survey is based upon 1 4 8 , 5 9 9 visits to full - service

Question 26
The Consumer Reports Restaurant Customer Satisfaction Survey is based upon 148,599 visits to full-
service restaurant chains (Consumer Reports website, February 11,2022). Assume the following data
(Dataset "RestaurantRatings.xlsx darr ") are representative of the results reported. The variable type
indicates whether the restaurant is an Italian restaurant or a seafood/steakhouse. Price indicates the
average amount paid per person for dinner and drinks, minus the tip. Score reflects diners' overall
satisfaction, with higher values indicating greater overall satisfaction. A score of 80 can be
interpreted as very satisfied.
a. Develop the estimated regression equation to show how overall customer satisfaction is related to
the independent variable average meal price.
Score =70.95+0.512 Price
Score =69.28+0.559 Price
Score =71.12+0.545 Price
Score =68.24+0.623 Price
Question 27
b. At the 0.05 level of significance, test whether the estimated regression equation developed in part
(a) indicates a significant relationship between overall customer satisfaction and average meal price.
t=2.85;p-value is 0.003 ; There is a significant relationship.
t=3.16;p-value is 0.005 ; There is a significant relationship.
t=3.16; p-value is 0.004 ; There is a significant relationship.
t=3.92;p-value is less than 0.01 ; There is a significant relationship.
Question 28
c. Create a dummy variable called "Italian" that equals 1 if the restaurant is an Italian restaurant; 0
otherwise. Develop the estimated regression equation to show how overall customer satisfaction is
related to the average meal price and the type of restaurant.
Score =68.21+0.625 Price +3.04 Italian
Score =67.40+0.573 Price +3.04 Italian
Score =67.40+0.482 Price +2.88 Italian
Score =66.25+0.573 Price +3.08 Italian
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