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91Ó°ÊÓ

The British government conducts regular surveys of household spending. The average weekly household spending (in pounds) on tobacco products and alcoholic beverages for each of 11 regions in Great Britain was re- corded. A scatterplot of spending on alcohol versus spending on tobacco is shown below. Which of the following statements is true?

(a) The observation (4.5,6.0) is an outlier.

(b) There is clear evidence of a negative association between spending on alcohol and tobacco.

(c) The equation of the least-squares line for this plot would be approximately yÁåœ=10−2x

(d) The correlation for these data is r=0.99

(e) The observation in the lower-right corner of the plot is influential for the least-squares line.

Short Answer

Expert verified

The correct option is (c) The equation of the least-squares line for this plot

would be approximately yÁåœ=10−2x

Step by step solution

01

Given information

02

Concept

A regression line is a straight line that depicts the relationship between an explanatory variable xand a response variable y By entering any value of x into the equation of the line, you may use a regression line to anticipate the value of y for any value of x

03

Explanation

The following graph depicts a scatterplot of alcohol spending versus tobacco spending. A point with no other points near it that is extreme in the X direction (rounded in the illustration) pulls the line towards itself. Such points are referred to as influential.

Hence, the observation in the lower-right corner of the plot is influential for the least-squares line.

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Most popular questions from this chapter

The graph at the top right plots the gas mileage (miles per gallon) of various cars from the same model year versus the weight of these cars in thousands of pounds. The points marked with red dots correspond to cars made in Japan. From this plot, we may conclude that

(a) there is a positive association between weight and gas mileage for Japanese cars.

(b) the correlation between weight and gas mileage for all the cars is close to 1.

(c) there is little difference between Japanese cars and cars made in other countries.

(d) Japanese cars tend to be lighter in weight than other cars.

(e) Japanese cars tend to get worse gas mileage than other cars.

Least-squares ideaTrace the graph from Exercise 40on your paper. Show why the line drawn on the plot is called the least-squares line.

The scatterplots below show four sets of real data:

(a) repeats the manatee plot in Figures

(b) shows the number of named tropical storms and the number predicted before the start of hurricane season each year between 1984and 2007by William Gray of Colorado State University;

(c) plots the healing rate in micrometers (millionths of a meter) per hour for the two front limbs of several newts in an experiment; and

(d) shows stock market performance in consecutive years over a 56-year period.

For each graph, estimate the correlation r. Then interpret the value of r in context.

(a)

(b)

(c)

(d)

Do heavier people burn more energy? Metabolic rate, the rate at which the body consumes energy, is important in studies of weight gain, dieting, and exercise. We have data on the lean body mass and resting metabolic rate for 12women who are subjects in a study of dieting. Lean body mass, given in kilograms, is a person’s weight leaving out all fat. Metabolic rate is measured in calories burned per 24hours. The researchers believe that lean body mass is an important influence on metabolic rate.

(a) Make a scatterplot on your calculator to examine the researchers’ belief.

(b) Describe the direction, form, and strength of the relationship.

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.

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