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Chapter 3: Q 30. (page 175)

In a scatterplot of the average price of a barrel of oil and the average retail price of a gallon of gas, you expect to see

a. very little association.

b. a weak negative association.

c. a strong negative association.

d. a weak positive association.

e. a strong positive association.

Short Answer

Expert verified

The correct option is (a) very little association.

Step by step solution

01

Given information

A scatterplot illustrating the average retail price of a gallon of gas and the average price of a barrel of oil

02

Explanation

When both variables are independent variables, there is no relationship or association between them. Because the average retail price of a gallon of gasoline and the average price of a barrel of oil are both independent variables. As a result, there would be virtually little correlation between the average retail price of a gallon of gas and the average retail price of a gallon of gasoline. Thus, the correct option is (a).

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Most popular questions from this chapter

Who鈥檚 got hops? Haley, Jeff, and Nathan measured the height (in inches)

and vertical jump (in inches) of 74 students at their school.34 Here is a scatterplot of the data, along with the least-squares regression line. Jacob (highlighted in red) had a vertical jump of nearly 3 feet!

a. Describe the influence that Jacob鈥檚 point has on the equation of the least-squares regression line.

b. Describe the influence that Jacob鈥檚 point has on the standard deviation of the residuals and r2

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鈥檚 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掳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掳C.

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

Each year, students in an elementary school take a standardized math test at the end of the school year. For a class of fourth-graders, the average score was 55.1 with a standard deviation of 12.3. In the third grade, these same students had an average score of 61.7 with a standard deviation of 14.0. The correlation between the two sets of scores is r = 0.95. Calculate the equation of the least-squares regression line for predicting a fourth-grade score from a third-grade score.

a. y^=3.58+0.835x

b. y^=15.69+0.835x

c. y^=2.19+1.08x

d. y^=鈭�11.54+1.08x

Olympic figure skating For many people, the women鈥檚 figure skating competition is the highlight of the Olympic Winter Games. Scores in the short program x and scores in the free skate y were recorded for each of the 24 skaters who competed in both rounds during the 2010 Winter Olympics in Vancouver, Canada.28 Here is a scatterplot with least-squares regression line y^=鈭�16.2+2.07x. For this model, s = 10.2 and r2 = 0.736.

Suppose that a tall child with an arm span of 120 cm and a height of 118 cm was added to the sample used in this study. What effect will this addition have on the correlation and the slope of the least-squares regression line?

a. Correlation will increase, and the slope will increase.

b. Correlation will increase, and the slope will stay the same.

c. Correlation will increase, and the slope will decrease.

d. Correlation will stay the same, and the slope will stay the same.

e. Correlation will stay the same, and the slope will increase.
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