/*! This file is auto-generated */ .wp-block-button__link{color:#fff;background-color:#32373c;border-radius:9999px;box-shadow:none;text-decoration:none;padding:calc(.667em + 2px) calc(1.333em + 2px);font-size:1.125em}.wp-block-file__button{background:#32373c;color:#fff;text-decoration:none} Q.21 Hot dogs Are hot dogs that are h... [FREE SOLUTION] | 91Ó°ÊÓ

91Ó°ÊÓ

Hot dogs Are hot dogs that are high in calories also high in salt? The figure below is a scatterplot of the calories and salt content (measured as milligrams of sodium) in 17brands of meat hot dogs.

(a) The correlation for these data is r=0.87. Explain what this value means.

(b) What effect would removing the hot dog brand with the lowest calorie content have on the correlation? Justify your answer.

Short Answer

Expert verified

a). In a hot dog, there is a very significant positive relationship between calories and salt.

b). The linear association would become more significant.

Step by step solution

01

Part(a) Step 1: Given Information

The calories and salt content (measured as milligrams of sodium) in 17brands of meat hot dogs.

02

Part(a) Step 2: Explanation 

The stronger the positive connection, the closer the correlation, r, is to 1.

In a hot dog, there is a very significant positive relationship between calories and salt.

03

Part(b) Step 1: Given Information

The calories and salt content (measured as milligrams of sodium) in 17brands of meat hot dogs.

04

Part(b) Step 2: Explanation 

The point in the bottom left corner (corresponding to the lowest calorie content) does not follow the same general linear trend as the other data points in the scatterplot.

Thus, deleting this point from the data set would make the data look more linear, resulting in a rise in the linear correlation coefficient r. (close to 1).

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 91Ó°ÊÓ!

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

Bird colonies Return to the data of Exercise 53 on sparrow hawk colonies. We’ll use these data to illustrate influence.

(a) Make a scatterplot of the data suitable for predicting new adults from the percent of returning adults. Then add two new points. Point A: 10% return, 15

new adults. Point B: 60% return, 28 new adults. In which direction is each new point an outlier?

(b) Add three least-squares regression lines to your plot: for the original 13 colonies, for the original colonies plus Point A, and for the original colonies

plus Point B Which new point is more influential for the regression line? Explain in simple language why each new point moves the line in the way your graph shows.

Measurements on young children in Mumbai, India, found this least-squares line for predicting height yfrom the arm span x yÁåœ=6.4+0.93xMeasurements are in centimeters (cm).

One child in the Mumbai study had a height of 59cmand an arm span60cmThis child’s residual is

(a)−3.2cm.(c)−1.3cm.(e)62.2cm.(b)−2.2cm.(d)3.2cm.

The National Student Loan Survey provides data on the amount of debt for recent college graduates, their current income, and how stressed they feel about college debt. A sociologist looks at the data with the goal of using the amount of debt and income to explain the stress caused by college debt.

Do heavier people burn more energy? Refer to Exercises 54and 56For the regression you performed earlier, r2=0.768 and s=95.08 Explain what each of these values means in this setting.

Smokers don’t live as long (on average) as nonsmokers, and heavy smokers don’t live as long as light smokers. You perform least-squares regression on the age at death of a group of male smokers y and the number of packs per day they smoked x. The slope of your regression line

(a) will be greater than 0

(b) will be less than 0

(c) will be equal to0

(d) You can’t perform regression on these data.

(e) You can’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.