26. What is the correlation coefficient? 97 b. 92 89
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
Related questions
Question
please answer number 26
![The time x in years that an employee spent at a company and the employee's hourly pay, y, for 5 employees are
listed in the table below. Remember to calculate the required values using the "correlation" tab in the new
Excel page. Use this data to answer questions 26 and 27.
y
25
n(E)-(Ex)(E»)
V(E*')-(E+)'] -(E»")-(E»)]
5
3
20
4
21
10
35
15
38
26. What is the correlation coefficient?
a.
97
b.
.92
89
C.
d.
.85
27. It doesn't matter if you answered #26 correctly. Based on all possible choices, the correlation between
these two events is:
Strong-Negative
Strong-Positive
Weak-Negative
d. Weak-Positive
b.
C.
28. Joseph performs an experiment where he measures the height of several individuals and then takes their
pulse rate in beats per minute (BPM). He calculates the Pearson's Correlation Coefficient "y" to be -15.
Choose the best description of the relationship between height and BPM that this data suggests:
That there really isn't much of a relationship between the two
That when height goes up, BPM goes down, but this relationship is very weak
a.
b.
That you really can't tell anything about a person's BPM based on their height
All three statements are generally accurate based on the r-value.
C.
d.
29. Since the 1950's, Carbon Dioxide levels in the atmosphere have been steadily rising. Concurrently, obesity
rates in the United States have been increasing as well. Janice takes some data and observes that the correlation
coefficient between CO, levels and obesity rates is .87. Janice knows that obesity is a real problem in the US,
so she petitions the government to reduce CO2 levels to combat obesity. Will lowering the levels help combat
obesity?
Yes. The strong correlation suggests that CO, levels are related to obesity levels.
No. It's absurd to think that these two could be interconnected.
a.
b.
c.
We don't know. There is a correlation, but we don't know if one causes the other.
d.
No. There is obviously no correlation between the two.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Fdc251732-f142-48dd-b2d1-185c331d4b8e%2F77fef447-b6af-4f4f-8318-17943edcdc2c%2Fs620xr_processed.png&w=3840&q=75)
Transcribed Image Text:The time x in years that an employee spent at a company and the employee's hourly pay, y, for 5 employees are
listed in the table below. Remember to calculate the required values using the "correlation" tab in the new
Excel page. Use this data to answer questions 26 and 27.
y
25
n(E)-(Ex)(E»)
V(E*')-(E+)'] -(E»")-(E»)]
5
3
20
4
21
10
35
15
38
26. What is the correlation coefficient?
a.
97
b.
.92
89
C.
d.
.85
27. It doesn't matter if you answered #26 correctly. Based on all possible choices, the correlation between
these two events is:
Strong-Negative
Strong-Positive
Weak-Negative
d. Weak-Positive
b.
C.
28. Joseph performs an experiment where he measures the height of several individuals and then takes their
pulse rate in beats per minute (BPM). He calculates the Pearson's Correlation Coefficient "y" to be -15.
Choose the best description of the relationship between height and BPM that this data suggests:
That there really isn't much of a relationship between the two
That when height goes up, BPM goes down, but this relationship is very weak
a.
b.
That you really can't tell anything about a person's BPM based on their height
All three statements are generally accurate based on the r-value.
C.
d.
29. Since the 1950's, Carbon Dioxide levels in the atmosphere have been steadily rising. Concurrently, obesity
rates in the United States have been increasing as well. Janice takes some data and observes that the correlation
coefficient between CO, levels and obesity rates is .87. Janice knows that obesity is a real problem in the US,
so she petitions the government to reduce CO2 levels to combat obesity. Will lowering the levels help combat
obesity?
Yes. The strong correlation suggests that CO, levels are related to obesity levels.
No. It's absurd to think that these two could be interconnected.
a.
b.
c.
We don't know. There is a correlation, but we don't know if one causes the other.
d.
No. There is obviously no correlation between the two.
Expert Solution
This question has been solved!
Explore an expertly crafted, step-by-step solution for a thorough understanding of key concepts.
Step by step
Solved in 2 steps
Knowledge Booster
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
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
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
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
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
ISBN:
9781305504912
Author:
Frederick J Gravetter, Larry B. Wallnau
Publisher:
Cengage Learning
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
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
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman