d. Compute the sample correlation coefficient between the number of defective parts found and the line speed. e. Is the relationship between speed and parts defective significant? Use a = 0.05.

Functions and Change: A Modeling Approach to College Algebra (MindTap Course List)
6th Edition
ISBN:9781337111348
Author:Bruce Crauder, Benny Evans, Alan Noell
Publisher:Bruce Crauder, Benny Evans, Alan Noell
Chapter3: Straight Lines And Linear Functions
Section3.3: Modeling Data With Linear Functions
Problem 15SBE
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Chapter 14
1. In a manufacturing process the assembly line speed (feet per minute) was
thought to affect the number of defective parts found during the impaction
process. To test this theory, managers devised a situation in which the
same batch of parts was inspected visually at a variety of line speeds. They
collected the following data.
Line Speed (x)
Number of
Defective Parts
Found (y)
20
21
20
19
40
15
30
16
60
14
40
17
84 F
Transcribed Image Text:Chapter 14 1. In a manufacturing process the assembly line speed (feet per minute) was thought to affect the number of defective parts found during the impaction process. To test this theory, managers devised a situation in which the same batch of parts was inspected visually at a variety of line speeds. They collected the following data. Line Speed (x) Number of Defective Parts Found (y) 20 21 20 19 40 15 30 16 60 14 40 17 84 F
d. Compute the sample correlation coefficient between the number of
defective parts found and the line speed.
e. Is the relationship between speed and parts defective significant? Use a =
0.05.
2. A sociologist was hired by a large city hospital to investigate the
relationship between the number of unauthorized days that employees are
absent per year and the distance (miles) between home and work for the
Transcribed Image Text:d. Compute the sample correlation coefficient between the number of defective parts found and the line speed. e. Is the relationship between speed and parts defective significant? Use a = 0.05. 2. A sociologist was hired by a large city hospital to investigate the relationship between the number of unauthorized days that employees are absent per year and the distance (miles) between home and work for the
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