Hint(s) Check My Work 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 2) and actual waiting time (dependent variable y). The estimated regression equation is: y = 11.97 +7.68x and MSE=144.2066. Click on the datafile logo to reference the data. DATA file Use Table 2 of Appendix B. O a. Develop a point estimate for a customer who arrive with three people on the wait-list (to 1 decimal). 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 - Select your answer than the confidence interval. O O
Hint(s) Check My Work 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 2) and actual waiting time (dependent variable y). The estimated regression equation is: y = 11.97 +7.68x and MSE=144.2066. Click on the datafile logo to reference the data. DATA file Use Table 2 of Appendix B. O a. Develop a point estimate for a customer who arrive with three people on the wait-list (to 1 decimal). 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 - Select your answer than the confidence interval. O O
Algebra & Trigonometry with Analytic Geometry
13th Edition
ISBN:9781133382119
Author:Swokowski
Publisher:Swokowski
Chapter10: Sequences, Series, And Probability
Section10.2: Arithmetic Sequences
Problem 51E
Related questions
Question
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Question 4 of
Hint(s) Check My Work
O 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
O
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
Ovariable x) and actual waiting time (dependent variable y). The estimated regression equation is: y = 11.97 +7.68x and MSE= 144.2066. Click on the datafile logo to reference the
data.
DATA file
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).
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).
d
minutes,
minutes)
d. Discuss the differences in your answers to parts (b) and (c).
The prediction interval is Select your answer than the confidence interval.
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Transcribed Image Text:quation for Estimation and Prediction)
Question 4 of
Hint(s) Check My Work
O 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
O
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
Ovariable x) and actual waiting time (dependent variable y). The estimated regression equation is: y = 11.97 +7.68x and MSE= 144.2066. Click on the datafile logo to reference the
data.
DATA file
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).
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).
d
minutes,
minutes)
d. Discuss the differences in your answers to parts (b) and (c).
The prediction interval is Select your answer than the confidence interval.
O Icon Key
Everrice 14 35 Alan (Teing the Fetimated Degraceinn Fration for Fetimation and Prediction)
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Transcribed Image Text:A1
X ✔fx Number of Customers
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