A manufacturing company that produces laminate for countertops is interested in studying the relationship between the number of hours of training that an employee receives and the number of defects per countertop produced. Ten employees are randomly selected. The number of hours of training each employee has received is recorded and the number of defects on the most recent countertop produced is determined. The results are as follows. Hours of TrainingDefects per Countertop1155441177003333225522445511552211886622Copy Data The estimated regression line and the standard error are given. Defects per Countertop=6.717822−1.004950(Hours of Training)Defects per Countertop=6.717822−1.004950(Hours of Training)se=1.229787se=1.229787 Suppose a new employee has had 44 hours of training. What would be the 99%99% prediction interval for the number of defects per countertop? Round your answer to two decimal places.

Answered: A manufacturing company that produces…

Calculus For The Life Sciences

2nd Edition

ISBN:9780321964038

Author:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.

Publisher:GREENWELL, Raymond N., RITCHEY, Nathan P., Lial, Margaret L.

Chapter12: Probability

Section12.2: Introduction To Probability

Problem 99E

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A manufacturing company that produces laminate for countertops is interested in studying the relationship between the number of hours of training that an employee receives and the number of defects per countertop produced. Ten employees are randomly selected. The number of hours of training each employee has received is recorded and the number of defects on the most recent countertop produced is determined. The results are as follows.

Hours of Training	Defects per Countertop
11	55
44	11
77	00
33	33
22	55
22	44
55	11
55	22
11	88
66	22

Copy Data
The estimated regression line and the standard error are given.

Defects per Countertop=6.717822−1.004950(Hours of Training)Defects per Countertop=6.717822−1.004950(Hours of Training)

se=1.229787se=1.229787

Suppose a new employee has had 44 hours of training. What would be the 99%99% prediction interval for the number of defects per countertop? Round your answer to two decimal places.

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