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 CO; 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. I's absurd to think that these two could be interconnected. We don't know. There is a correlation, but we don't know if one causes the other. a. b. C. d. No. There is obviously no correlation between the two.
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 CO; 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. I's absurd to think that these two could be interconnected. We don't know. There is a correlation, but we don't know if one causes the other. a. b. C. d. No. There is obviously no correlation between the two.
Chapter6: Exponential And Logarithmic Functions
Section6.8: Fitting Exponential Models To Data
Problem 3TI: Table 6 shows the population, in thousands, of harbor seals in the Wadden Sea over the years 1997 to...
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Question
please answer number 29
![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%2Fdc88776d-baa3-411d-b278-dd97a91d275f%2Ft3xe4ar_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.
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