In Problem, you used the summated rating to predict the cost of a restaurant meal. Perform a residual analysis for these data (stored in Restaurants). Evaluate whether the assumptions of regression have been seriously violated.
Problem
Zagat’s publishes restaurant ratings for various locations in the United States. The file Restaurants contains the Zagat rating for food, décor, service, and the cost per person for a sample of 100 restaurants located in New York City and in a suburb of New York City. Develop a regression model to predict the price per person, based on a variable that represents the sum of the ratings for food, décor, and service.
Sources: Extracted from Zagat Survey 2010, New York City Restaurants; and Zagat Survey 2009–2010, Long Island Restaurants.
a. Construct a scatter plot. For these data, b0 = - 28.1975 and b1 = 1.2409.
b. Assuming a linear cost relationship, use the least-squares method to compute the regression coefficientsb0 and b1.
c. Interpret the meaning of the Y intercept, b0 and the slope, b1, in this problem.
d. Predict the cost per person for a restaurant with a summated rating of 50.
We need at least 10 more requests to produce the solution.
0 / 10 have requested this problem solution
The more requests, the faster the answer.