1. A manufacturing company is interested in predicting the number of defects that will be produced each hour on the assembly line. The managers believe that there is a relationship between the defect rate and the production rate per hour. The managers believe that they can use production rate to predict the number of defects. The following data were collected for 8 randomly selected hours. Production rate/h 40 45 20 35 40 50 30 50 Defects 2 e. At a significance level of .01 can you conclude that production rate is a good predictor of the number defects? f. Find a 98% confidence interval estimate number of defects when production rate is 55. 312 3546
1. A manufacturing company is interested in predicting the number of defects that will be produced each hour on the assembly line. The managers believe that there is a relationship between the defect rate and the production rate per hour. The managers believe that they can use production rate to predict the number of defects. The following data were collected for 8 randomly selected hours. Production rate/h 40 45 20 35 40 50 30 50 Defects 2 e. At a significance level of .01 can you conclude that production rate is a good predictor of the number defects? f. Find a 98% confidence interval estimate number of defects when production rate is 55. 312 3546
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.3: Measures Of Spread
Problem 1GP
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I'm very confused on e, can you please do it step by step. I would like to know what formulas to use.
For F, I got an interval between 1 and 9 (rounded) but I'm not sure if that is correct.
![1. A manufacturing company is interested in predicting the number of defects that will be produced each
hour on the assembly line. The managers believe that there is a relationship between the defect rate and
the production rate per hour. The managers believe that they can use production rate to predict the
number of defects. The following data were collected for 8 randomly selected hours.
Defects
2
3
1
Production rate/h
40
45
20
35
40
50
30
50
3
5
4
e. At a significance level of .01 can you conclude that production rate is a good predictor of
the number defects?
f. Find a 98% confidence interval estimate number of defects when production rate is 55.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F623c28ac-5ee4-42b7-802c-4187fcaa4ff0%2Ff1817491-88b4-4a96-a817-00ad00505588%2Fb3l5s3u_processed.png&w=3840&q=75)
Transcribed Image Text:1. A manufacturing company is interested in predicting the number of defects that will be produced each
hour on the assembly line. The managers believe that there is a relationship between the defect rate and
the production rate per hour. The managers believe that they can use production rate to predict the
number of defects. The following data were collected for 8 randomly selected hours.
Defects
2
3
1
Production rate/h
40
45
20
35
40
50
30
50
3
5
4
e. At a significance level of .01 can you conclude that production rate is a good predictor of
the number defects?
f. Find a 98% confidence interval estimate number of defects when production rate is 55.
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