In a manufacturing process the assembly line speed (feet per minute) was thought to af- fect the number of defective parts found during the inspection 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. Number of Defective Line Speed

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
icon
Related questions
Topic Video
Question

Please explain it more detail! Thanks !!!  It can only calculate by Excel.

62 In a manufacturing process the assembly line speed (feet per minute) was thought to af-
fect the number of defective parts found during the inspection 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.
Number of Defective
Parts Found
Line Speed
20
20
21
19
40
30
60
15
16
14
40
17
a. Develop the estimated regression equation that relates line speed to the number of
defective parts found.
b. At a .05 level of significance, determine whether line speed and number of defective
parts found are related.
Did the estimated regression equation provide a good fit to the data?
d. Develop a 95% confidence interval to predict the mean number of defective parts for
a line speed of 50 feet per minute.
c.
63, A sociologist wac hiuod
Transcribed Image Text:62 In a manufacturing process the assembly line speed (feet per minute) was thought to af- fect the number of defective parts found during the inspection 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. Number of Defective Parts Found Line Speed 20 20 21 19 40 30 60 15 16 14 40 17 a. Develop the estimated regression equation that relates line speed to the number of defective parts found. b. At a .05 level of significance, determine whether line speed and number of defective parts found are related. Did the estimated regression equation provide a good fit to the data? d. Develop a 95% confidence interval to predict the mean number of defective parts for a line speed of 50 feet per minute. c. 63, A sociologist wac hiuod
Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 4 steps with 2 images

Blurred answer
Knowledge Booster
Optimization
Learn more about
Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, statistics and related others by exploring similar questions and additional content below.
Recommended textbooks for you
MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
Probability and Statistics for Engineering and th…
Statistics
ISBN:
9781305251809
Author:
Jay L. Devore
Publisher:
Cengage Learning
Statistics for The Behavioral Sciences (MindTap C…
Statistics for The Behavioral Sciences (MindTap C…
Statistics
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
Elementary Statistics: Picturing the World (7th E…
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
The Basic Practice of Statistics
The Basic Practice of Statistics
Statistics
ISBN:
9781319042578
Author:
David S. Moore, William I. Notz, Michael A. Fligner
Publisher:
W. H. Freeman
Introduction to the Practice of Statistics
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman