Assignment: BUSI 2305 - 14.6 Practice Problems Assignment Score: 29.82% Save Submit Assignment for Grading Questions Exercise 14.35 Algo (Using the Estimated Regression Equation for Estimation and Prediction) Question 4 of 9 2. Hint(s) Check My Work 3. 4. 5. Many small restaurants in Portland, Oregon, and other cities across the United States do not take reservations. Owners say that with smaller capacity, noshows are costly, and they would rather have their staff focused on customer service rather than maintaining a reservation system (pressherald.com). However, it is important to be able to give reasonable estimates of waiting time when customers arrive and put their name on the waiting list. The file RestaurantLine contains 10 observations of number of people in line ahead of a customer (independent variable x) and actual waiting time (dependent variable y). The estimated regression equation is: y = 11.97 + 7.68c and MSE = 144.2066. Click on the datafile logo to reference the data. 6. 7. DATA file 8. 9. Use Table 2 of Appendix B. a. Develop a point estimate for a customer who arrive with three people on the wait-list (to 1 decimal). 4 minutes b. Develop a 95% confidence interval for the mean waiting time for a customer who arrives with three customers already in line (to 2 decimals). ( minutes, minutes) c. Develop a 95% prediction interval for Roger and Sherry Davy's waiting time if there are three customers in line when they arrive (to 2 decimals). minutes, minutes) d. Discuss the differences in your answers to parts (b) and (c). The prediction interval is wider than the confidence interval. Hide Feedback Partially Correct Hint(s) Check My Work 0Icon Key Exercise 14.35 Algo (Using the Estimated Regression Equation for Estimation and Prediction) Question 4 of 9 Save Submit Assignment for Grading Assignment: BUSI 2305 - 14.6 Practice Problems Assignment Score: 29.82% Save Submit Assignment for Grading Questions Exercise 14.35 Algo (Using the Estimated Regression Equation for Estimation and Prediction) Question 4 of 9 2. Hint(s) Check My Work 3. 4. 5. Many small restaurants in Portland, Oregon, and other cities across the United States do not take reservations. Owners say that with smaller capacity, noshows are costly, and they would rather have their staff focused on customer service rather than maintaining a reservation system (pressherald.com). However, it is important to be able to give reasonable estimates of waiting time when customers arrive and put their name on the waiting list. The file RestaurantLine contains 10 observations of number of people in line ahead of a customer (independent variable x) and actual waiting time (dependent variable y). The estimated regression equation is: y = 11.97 + 7.68c and MSE = 144.2066. Click on the datafile logo to reference the data. 6. 7. DATA file 8. 9. Use Table 2 of Appendix B. a. Develop a point estimate for a customer who arrive with three people on the wait-list (to 1 decimal). 4 minutes b. Develop a 95% confidence interval for the mean waiting time for a customer who arrives with three customers already in line (to 2 decimals). ( minutes, minutes) c. Develop a 95% prediction interval for Roger and Sherry Davy's waiting time if there are three customers in line when they arrive (to 2 decimals). minutes, minutes) d. Discuss the differences in your answers to parts (b) and (c). The prediction interval is wider than the confidence interval. Hide Feedback Partially Correct Hint(s) Check My Work 0Icon Key Exercise 14.35 Algo (Using the Estimated Regression Equation for Estimation and Prediction) Question 4 of 9 Save Submit Assignment for Grading