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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

More Starbucks In Exercises 6 and 12, you described the relationship between fat (on Page Number: 204 grams) and the number of calories in products sold at Starbucks. The scatterplot shows this relationship, along with two regression lines. The regression line for the food products (blue squares) is y^=170+11.8x. The regression line for the drink products

(black dots) is y^=88+24.5x

a. How do the regression lines compare?

b. How many more calories do you expect to find in a food item with 5 grams of fat compared to a drink item with 5 grams of fat?

More brains Refer to Exercise 20

a. Explain why it isn’t correct to say that the correlation is 0.86g/kg

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 brain weight was measured in kilograms instead of grams? Explain your reasoning.

Less gas? Refer to Exercise 38.

a. Interpret the slope of the regression line.

b. Does the value of the y intercept have meaning in this context? If so, interpret the y intercept. If not, explain why.

Residual gas Refer to Exercise 38. During March, the average temperature was 46.4°F and Joan used an average of 490 cubic feet of gas per day. Calculate and interpret the residual for this month.

Driving speed and fuel consumption Exercise 9 (page 171) gives data on the fuel consumption y of a car at various speeds x. Fuel consumption is measured in liters of gasoline per 100 kilometers driven, and speed is measured in kilometers per hour. A statistical software package gives the least-squares regression line y^=11.058–0.01466x. Use the residual plot to determine if this linear model is appropriate.

See all solutions

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