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Chapter 3: Q 29. (page 174)

You have data for many years on the average price of a barrel of oil and the average retail price of a gallon of unleaded regular gasoline. If you want to see how well the price of oil predicts the price of gas, then you should make a scatterplot with ___________ as the explanatory variable.

a. the price of oil

b. the price of gas

c. the year

d. either oil price or gas price

e. time

Short Answer

Expert verified

The correct option is (a) the price of oil.

Step by step solution

01

Given information

The price of gas is predicted by the price of oil.

02

Explanation

The independent variable, or explanatory variable, aids in the prediction of the response or dependent variable.

Here, the price of oil predicts the price of gas. So, the price of oil is the explanatory variable. Option (a) is correct.

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Most popular questions from this chapter

Suppose that the measurements of arm span and height were converted from centimeters to meters by dividing each measurement by 100. How will this conversion affect the values of r2 and s?

a. r2 will increase, s will increase.

b. r2 will increase, s will stay the same.

c. r2 will increase, s will decrease.

d. r2 will stay the same, s will stay the same.

e. r2 will stay the same, s will decrease.

More hot dogs Refer to Exercise 19

a. Explain why it isn’t correct to say that the correlation is 0.87mg/cal

b. What would happen to the correlation if the variables were reversed on the scatterplot? Explain your reasoning.

c. What would happen to the correlation if sodium was measured in grams instead of milligrams? Explain your reasoning.

Oh, that smarts! Infants who cry easily may be more easily stimulated than others. This may be a sign of a higher IQ. Child development researchers explored the relationship between the crying of infants 4 to 10 days old and their IQ test scores at age 3 years. A snap of a rubber band on the sole of the foot caused the infants to cry. The researchers recorded the crying and measured its intensity by the number of peaks in the most active 20 seconds. The correlation for these data is r=0.45.16 Interpret the correlation.

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: 174between these pairs of variables from largest to smallest. Explain your reasoning.

An AP® Statistics student designs an experiment to see whether today’s high school students are becoming too calculator-dependent. She prepares two quizzes, both of which contain 40 questions that are best done using paper-and-pencil methods. A random sample of 30 students participates in the experiment. Each student takes both quizzes—one with a calculator and one without—in random order. To analyze the data, the student constructs a scatterplot that displays a linear association between the number of correct answers with and without a calculator for the 30 students. A least-squares

regression yields the equation. calculator^ = −1.2 + 0.865 (pencil) r = 0.79

Which of the following statements is/are true?

I. If the student had used Calculator as the explanatory variable, the correlation would remain the same.

II. If the student had used Calculator as the explanatory variable, the slope of the least-squares line would remain the same.

III. The standard deviation of the number of correct answers on the paper-and-pencil quizzes was smaller than the standard deviation on the calculator quizzes.

a. I only

b. II only

c. III only

d. I and III only

e. I, II, and III
See all solutions

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