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

Hot dogs Are hot dogs that are high in calories and also high in salt? The

following scatterplot shows the calories and salt content (measured in milligrams of sodium) in 17 brands of meat hot dogs.

a. The correlation for these data is r=0.87 Interpret this value.

b. What effect does the hot dog brand with the smallest calorie content have on the correlation? Justify your answer.

Short Answer

Expert verified

Part (a) There is a fairly strong and positive association between the calories and sodium in 17brands of meat hot dogs.

Part (b) The linear correlation coefficient would increase.

Step by step solution

01

Part (a) Step 1: Given information

Correlation, r = 0.87

02

Part (a) Step 2: Explanation

A positive linear correlation exists when r is positive.

A negative linear correlation exists when r is negative.

For weak correlation,

0<|r|<0.5

For moderate correlation,

0.5<|r|<0.8

For strong correlation,

0.8<|r|<1

Note that

The association between the calories and sodium in 17 brands of meat hot dogs is a strong and positive association.

03

Part (b) Step 1: Explanation

Note that

The point with the lowest calorie content in the scatterplot does not follow the general linear pattern of the other data points.

Thus,

When this point is removed from the data collection, the data seems to be more linear.

Hence,

There will be an increase in the linear correlation coefficient.

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

When we standardize the values of a variable, the distribution of standardized values has a mean of 0 and a standard deviation of 1. Suppose we measure two variables X and Y on each of several subjects. We standardize both variables and then compute the least squares regression line. Suppose the slope of the least-squares regression line is 20.44. We may conclude that

a. the intercept will also be โˆ’0.44.

b. the intercept will be 1.0.

c. the correlation will be 1/โˆ’0.44.

d. the correlation will be 1.0.

e. the correlation will also be โˆ’0.44.

Long-term records from the Serengeti National Park in Tanzania show interesting ecological relationships. When wildebeest are more abundant, they graze the grass more heavily, so there are fewer fires and more trees grow. Lions feed more successfully when there are more trees, so the lion population increases. Researchers collected data on one part of this cycle, wildebeest abundance (in thousands of animals) and the percent of the grass area burned in the same year. The results of a least-squares regression on the data are shown here.


a. Is a linear model appropriate for describing the relationship between wildebeest abundance and percent of grass area burned? Explain.

b. Give the equation of the least-squares regression line. Be sure to define any variables you use.

c. Interpret the slope. Does the value of the y-intercept have meaning in this context? If so, interpret the y-intercept. If not, explain why.

d. Interpret the standard deviation of the residuals and r2.

Each year, students in an elementary school take a standardized math test at the end of the school year. For a class of fourth-graders, the average score was 55.1 with a standard deviation of 12.3. In the third grade, these same students had an average score of 61.7 with a standard deviation of 14.0. The correlation between the two sets of scores is r = 0.95. Calculate the equation of the least-squares regression line for predicting a fourth-grade score from a third-grade score.

a. y^=3.58+0.835x

b. y^=15.69+0.835x

c. y^=2.19+1.08x

d. y^=โˆ’11.54+1.08x

Marijuana and traffic accidents (1.1) Researchers in New Zealand interviewed 907 drivers at age 21. They had data on traffic accidents and they asked the drivers about marijuana use. Here are data on the numbers of accidents caused by these drivers at age 19, broken down by marijuana use at the same age:

a. Make a graph that displays the accident rate for each category of marijuana use. Is there evidence of an association between marijuana use and traffic accidents? Justify your answer.

b. Explain why we canโ€™t conclude that marijuana use causes accidents based on this study.

If women always married men who were 2 years older than themselves, what would be the correlation between the ages of husband and wife?

a. 2

b. 1

c. 0.5

d. 0

e. Canโ€™t tell without seeing the data

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