# Question: In Problem 12 5 on page 424 you used the summated

In Problem 12.5 on page 424, you used the summated rating of a restaurant to predict the cost of a meal. The data are stored in Restaurants. Using the results of that problem, b1 = 1.4963 and Sb1 = 0.1379.

a. At the 0.05 level of significance, is there evidence of a linear relationship between the summated rating of a restaurant and the cost of a meal?

b. Construct a 95% confidence interval estimate of the population slope, b1.

In problem 12.5

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 cost per person, based on a variable that represents the sum of the ratings for food, décor, and service. Sources: Extracted from Zagat Survey 2013, New York City Restaurants; and Zagat Survey 2012– 2013, Long Island Restaurants.

a. At the 0.05 level of significance, is there evidence of a linear relationship between the summated rating of a restaurant and the cost of a meal?

b. Construct a 95% confidence interval estimate of the population slope, b1.

In problem 12.5

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 cost per person, based on a variable that represents the sum of the ratings for food, décor, and service. Sources: Extracted from Zagat Survey 2013, New York City Restaurants; and Zagat Survey 2012– 2013, Long Island Restaurants.

## Answer to relevant Questions

In Problem 12.6 on page 424, the owner of a moving company wanted to predict labor hours, based on the number of cubic feet moved. The data are stored in Moving . Use the results of that problem. a. At the 0.05 level of ...The volatility of a stock is often measured by its beta value. You can estimate the beta value of a stock by developing a simple linear regression model, using the percentage weekly change in the stock as the dependent ...Based on a sample of n = 20, the least squares method was used to develop the following prediction line: ŷi = 5 + 3Xi. In addition, a. Construct a 95% confidence interval estimate of the population mean response for X = 2. ...In Problem 12.8 on page 424, you predicted the value of a baseball franchise, based on current revenue. The data are stored in BBValues. a. Construct a 95% confidence interval estimate of the mean value of all baseball ...You want to develop a model to predict the taxes of houses, based on assessed value. A sample of 30 single family houses listed for sale in Silver Spring, Maryland, a suburb of Washington, DC, is selected. The taxes (in $) ...Post your question