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Which of the following statements is not true of the correlation r between the lengths (in inches) and weights (in pounds) of a sample of brook trout?

a. r must take a value between −1 and 1.

b. r is measured in inches.

c. If longer trout tend to also be heavier, then r > 0.

d. r would not change if we measured the lengths of the trout in centimeters instead of inches.

e. r would not change if we measured the weights of the trout in kilograms instead of pounds.

Short Answer

Expert verified

The correct option is (b) r measured in inches.

Step by step solution

01

Given information

The lengths (in inches) and weights (in pounds) of a sample of brook trout were correlated (r).

02

Explanation

One of the statistical measurements of the strength of the relationship between two variables is the correlation coefficient. It does not have a specific unit. It establishes the boundaries between two numerical values of -1 and 1 It cannot be measured in any unit, including inches, and it has no effect when shifting from one unit to another, such as inches to centimeters and pounds to kilograms.

Hence, the correct option is (b)

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Most popular questions from this chapter

Late bloomers? Japanese cherry trees tend to blossom early when spring weather is warm and later when spring weather is cool. Here are some data on the average March temperature (in degrees Celsius) and the day in April when the first cherry blossom appeared over a 24-year period:

a. Make a well-labeled scatterplot that’s suitable for predicting when the cherry trees will blossom from the temperature. Which variable did you choose as the explanatory variable? Explain your reasoning.

b. Use technology to calculate the correlation and the equation of the least-squares regression line. Interpret the slope and y-intercept of the line in this setting.

c. Suppose that the average March temperature this year was 8.2°C. Would you be willing to use the equation in part (b) to predict the date of the first blossom? Explain your reasoning.

d. Calculate and interpret the residual for the year when the average March temperature was 4.5°C.

e. Use technology to help construct a residual plot. Describe what you see.

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The scatterplot shows the relationship between x = mean temperature in a particular month

and y = mean amount of natural gas used per day (in cubic feet) in that month, along with the regression line y^=1425−19.87x

a. Predict the mean amount of natural gas Joan will use per day in a month with a mean temperature of 30°F.

b. Predict the mean amount of natural gas Joan will use per day in a month with a mean temperature of 65°F.

c. How confident are you in each of these predictions? Explain your reasoning.

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a. −0.95.

b. −0.65.

c. 0.

d. 0.65.

e. 0.95.

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