Chapter 3: Q 34. (page 175)
If we leave out the low outlier, the correlation for the remaining 13 points in the preceding figure is closest to
a. −0.95.
b. −0.65.
c. 0.
d. 0.65.
e. 0.95.
Short Answer
The correct option is (d)
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Chapter 3: Q 34. (page 175)
If we leave out the low outlier, the correlation for the remaining 13 points in the preceding figure is closest to
a. −0.95.
b. −0.65.
c. 0.
d. 0.65.
e. 0.95.
The correct option is (d)
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More candy Refer to Exercise 51. Use technology to create a residual plot. Sketch the residual plot and explain what information it provides.
Rank the correlations Consider each of the following relationships: the heights of fathers and the heights of their adult sons, the heights of husbands and the heights of their wives, and the heights of women at age 4 and their heights at age 18. Rank the correlations Page Number: between these pairs of variables from largest to smallest. Explain your reasoning.
It’s still early We expect that a baseball player who has a high batting average in the first month of the season will also have a high batting average for the rest of the season. Using 66 Major League Baseball players from a recent season,33 a least-squares regression line was calculated to predict rest-of-season batting average y from first-month batting average x. Note: A player’s batting average is the proportion of times at-bat that he gets a hit. A batting average over 0.300 is considered very good in Major League Baseball.
a. State the equation of the least-squares regression line if each player had the same batting average the rest of the season as he did in the first month of the season.
b. The actual equation of the least-squares regression line is y^=0.245+0.109x
Predict the rest-of-season batting average for a player who had a 0.200 batting average the first month of the season and for a player who had a 0.400 batting average the first month of the season.
c. Explain how your answers to part (b) illustrate regression to the mean.
Husbands and wives The mean height of American women in their early twenties is inches and the standard deviation is inches. The mean height of men the same age is inches, with standard deviationinches. The correlation between the heights of husbands and wives is about
(a) Find and interpret this value in context.
(b) For these data, . Explain what this value mean
Do muscles burn 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 of women who are subjects in a study on dieting. Lean body mass, given in kilograms, is a person’s weight leaving out all fat. Metabolic rate is measured in calories burned per hours. The researchers believe that lean body mass is an
important influence on metabolic rate.

a. Make a scatterplot to display the relationship between lean body mass and metabolic rate.
b. Describe the relationship between lean body mass and metabolic rate.
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