WHAT IS THE ANSWER FOR QUESTION (F)?

The Consumer Reports Restaurant Customer Satisfaction Survey is based upon 148,599 visits to full-service restaurant chains (Consumer Reports website, February 11, 2009). Assume the following data (Dataset "RestaurantRatings") 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.

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.

1- Score = 68.21 + 0.625 Price + 3.04 Italian

2- Score = 66.25 + 0.573 Price + 3.08 Italian

3- Score = 67.40 + 0.573 Price + 3.04 Italian

4- Score = 67.40 + 0.482 Price + 2.88 Italian

f. For the estimated regression equation developed in part (c), is type of restaurant a significant factor in overall customer satisfaction? Use = 0.05.

1- p-value is 0.025; Type of restaurant is a significant factor.

2- p-value is 0.012; Type of restaurant is a significant factor.

3- p-value is 0.015; Type of restaurant is a significant factor.

4- p-value is 0.017; Type of restaurant is a significant factor.