Warning: foreach() argument must be of type array|object, bool given in /var/www/html/web/app/themes/studypress-core-theme/template-parts/header/mobile-offcanvas.php on line 20

In exercise 10-1 12. Clusters Refer to the following Minitab-generated scatterplot. The four points in the lower left corner are measurements from women, and the four points in the upper right corner are from men.

a. Examine the pattern of the four points in the lower left corner (from women) only, and subjectively determine whether there appears to be a correlation between x and y for women.

b. Examine the pattern of the four points in the upper right corner (from men) only, and subjectively determine whether there appears to be a correlation between x and y for men.

c. Find the linear correlation coefficient using only the four points in the lower left corner (for women). Will the four points in the upper left corner (for men) have the same linear correlation coefficient?

d. Find the value of the linear correlation coefficient using all eight points. What does that value suggest about the relationship between x and y?

e. Based on the preceding results, what do you conclude? Should the data from women and the data from men be considered together, or do they appear to represent two different and distinct populations that should be analyzed separately?

Short Answer

Expert verified

a.There seems to be no linear correlation among x and y for women.

b. There seems to be no linear correlation among x and y for men.

c. The correlation coefficient between x and y for women is 0. The value of the correlation coefficient between x and y is the same for men.

d.The correlation between x and y when all the 8 points are taken into account is equal to 0.985.

e. The points corresponding to women and men appear to represent two different and distinct populations and should be analyzed separately.

Step by step solution

01

Given Information

A scatterplot is constructed for the pairs of measurements for women and men.

02

Examination of  linear correlation

a.

Since the points on the lower-left corner do not seem to follow an increasing straight-line trend or a decreasing straight-line trend, there seems to be no linear correlation among x and y for women.

b.

Similarly, the points on the upper right corner neither follow an increasing straight-line trend or a decreasing straight-line trend, there seems to be no linear correlation among x and y for men.

03

Computation of correlation coefficient

c.

To calculate the correlation coefficient between x and y for women, the following computations are made:

x

y

x2

y2

xy

1

1

1

1

1

1

2

1

4

2

2

1

4

1

2

2

2

4

4

4

โˆ‘x=6

โˆ‘y=6

โˆ‘x2=10

โˆ‘y2=10

โˆ‘xy=9

The formula to calculate correlation coefficient r is given by

r=nโˆ‘xyโˆ’(โˆ‘x)(โˆ‘y)n(โˆ‘x2)โˆ’(โˆ‘x)2n(โˆ‘y2)โˆ’(โˆ‘y)2=4(9)โˆ’(6)(6)4(10)โˆ’(6)24(10)โˆ’(6)2=0

Thus, the correlation coefficient between x and y for women is 0.

To calculate the correlation coefficient between x and y for men, consider the following calculations:

x

y

x2

y2

xy

9

9

81

81

81

9

10

81

100

90

10

9

100

81

90

10

10

100

100

100

โˆ‘x=38

โˆ‘y=38

โˆ‘x2=362

โˆ‘y2=362

โˆ‘xy=361

The formula to calculate correlation coefficient r is given by

r=nโˆ‘xyโˆ’(โˆ‘x)(โˆ‘y)n(โˆ‘x2)โˆ’(โˆ‘x)2n(โˆ‘y2)โˆ’(โˆ‘y)2=4(361)โˆ’(38)(38)4(362)โˆ’(38)24(362)โˆ’(38)2=0

Thus, the correlation coefficient between x and y for men is 0.

04

Computation of the correlation coefficient with all 8 points

d.

To compute the correlation between all the 8 points, consider the following calculations:

x

Y

x2

y2

xy

1

1

1

1

1

1

2

1

4

2

2

1

4

1

2

2

2

4

4

4

9

9

81

81

81

9

10

81

100

90

107

9

100

81

90

10

10

100

100

100

โˆ‘x=44

โˆ‘y=44

โˆ‘x2=372

โˆ‘y2=372

โˆ‘xy=370

The correlation coefficient is equal to:

r=nโˆ‘xyโˆ’(โˆ‘x)(โˆ‘y)n(โˆ‘x2)โˆ’(โˆ‘x)2n(โˆ‘y2)โˆ’(โˆ‘y)2=8(370)โˆ’(44)(44)8(372)โˆ’(44)28(372)โˆ’(44)2=0.985

Thus, the correlation between x and y when all the 8 points are taken into account is equal to 0.985.

05

Analysis of the correlation

e.

All of the points corresponding to women lie on the lower-left corner while all of the points corresponding to men lie on the upper-right corner.

There seems to be no association/mix-up of the two sets of values.

Therefore, the points corresponding to women and menappear to represent two different and distinct populations and should be analyzed separately.

Unlock Step-by-Step Solutions & Ace Your Exams!

  • Full Textbook Solutions

    Get detailed explanations and key concepts

  • Unlimited Al creation

    Al flashcards, explanations, exams and more...

  • Ads-free access

    To over 500 millions flashcards

  • Money-back guarantee

    We refund you if you fail your exam.

Over 30 million students worldwide already upgrade their learning with Vaia!

One App. One Place for Learning.

All the tools & learning materials you need for study success - in one app.

Get started for free

Most popular questions from this chapter

The following exercises are based on the following sample data consisting of numbers of enrolled students (in thousands) and numbers of burglaries for randomly selected large colleges in a recent year (based on data from the New York Times).

If you had computed the value of the linear correlation coefficient to be 1.500, what should you conclude?

Interpreting a Computer Display. In Exercises 9โ€“12, refer to the display obtained by using the paired data consisting of Florida registered boats (tens of thousands) and numbers of manatee deaths from encounters with boats in Florida for different recent years (from Data Set 10 in Appendix B). Along with the paired boat, manatee sample data, Stat Crunch was also given the value of 85 (tens of thousands) boats to be used for predicting manatee fatalities.


Testing for Correlation Use the information provided in the display to determine the value of the linear correlation coefficient. Is there sufficient evidence to support a claim of a linear correlation between numbers of registered boats and numbers of manatee deaths from encounters with boats?

Critical Thinking: Is the pain medicine Duragesic effective in reducing pain? Listed below are measures of pain intensity before and after using the drug Duragesic (fentanyl) (based on data from Janssen Pharmaceutical Products, L.P.). The data are listed in order by row, and corresponding measures are from the same subject before and after treatment. For example, the first subject had a measure of 1.2 before treatment and a measure of 0.4 after treatment. Each pair of measurements is from one subject, and the intensity of pain was measured using the standard visual analog score. A higher score corresponds to higher pain intensity.

Pain Intensity Before Duragesic Treatment

1.2

1.3

1.5

1.6

8

3.4

3.5

2.8

2.6

2.2

3

7.1

2.3

2.1

3.4

6.4

5

4.2

2.8

3.9

5.2

6.9

6.9

5

5.5

6

5.5

8.6

9.4

10

7.6










Pain Intensity After Duragesic Treatment

0.4

1.4

1.8

2.9

6

1.4

0.7

3.9

0.9

1.8

0.9

9.3

8

6.8

2.3

0.4

0.7

1.2

4.5

2

1.6

2

2

6.8

6.6

4.1

4.6

2.9

5.4

4.8

4.1










Two Independent Samples The methods of Section 9-2 can be used to test the claim that two populations have the same mean. Identify the specific claim that the treatment is effective, then use the methods of Section 9-2 to test that claim. The methods of Section 9-2 are based on the requirement that the samples are independent. Are they independent in this case?

Confidence Intervals for a Regression Coefficients A confidence interval for the regression coefficient b1 is expressed

b1โˆ’E<ฮฒ1<b1+E

Where

E=tฮฑ2sb1

The critical t score is found using n โ€“(k+1) degrees of freedom, where k, n, and sb1 are described in Exercise 17. Using the sample data from Example 1, n = 153 and k = 2, so df = 150 and the critical t scores are ยฑ1.976 for a 95% confidence level. Use the sample data for Example 1, the Stat diskdisplay in Example 1 on page 513, and the Stat Crunchdisplay in Exercise 17 to construct 95% confidence interval estimates of ฮฒ1 (the coefficient for the variable representing height) andฮฒ2 (the coefficient for the variable representing waist circumference). Does either confidence interval include 0, suggesting that the variable be eliminated from the regression equation?

In Exercises 5โ€“8, we want to consider the correlation between heights of fathers and mothers and the heights of their sons. Refer to the

StatCrunch display and answer the given questions or identify the indicated items.

The display is based on Data Set 5 โ€œFamily Heightsโ€ in Appendix B.

Identify the following:

a. The P-value corresponding to the overall significance of the multiple regression equation

b. The value of the multiple coefficient of determinationR2.

c. The adjusted value of R2

See all solutions

Recommended explanations on Math Textbooks

View all explanations

What do you think about this solution?

We value your feedback to improve our textbook solutions.

Study anywhere. Anytime. Across all devices.

Sign-up for free