/*! This file is auto-generated */ .wp-block-button__link{color:#fff;background-color:#32373c;border-radius:9999px;box-shadow:none;text-decoration:none;padding:calc(.667em + 2px) calc(1.333em + 2px);font-size:1.125em}.wp-block-file__button{background:#32373c;color:#fff;text-decoration:none} Q 29. You have data for many years on ... [FREE SOLUTION] | 91影视

91影视

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.

Unlock Step-by-Step Solutions & Ace Your Exams!

  • Full Textbook Solutions

    Get detailed explanations and key concepts

  • Unlimited Al creation

    Al flashcards, explanations, exams and more...

  • Ads-free access

    To over 500 millions flashcards

  • Money-back guarantee

    We refund you if you fail your exam.

Over 30 million students worldwide already upgrade their learning with 91影视!

One App. One Place for Learning.

All the tools & learning materials you need for study success - in one app.

Get started for free

Most popular questions from this chapter

Will I bomb the final? We expect that students who do well on the midterm exam in a course will usually also do well on the final exam. Gary Smith of Pomona College looked at the exam scores of all 346 students who took his statistics class over a 10-year period. Assume that both the midterm and final exams were scored out of 100 points.

a. State the equation of the least-squares regression line if each student scored the same on the midterm and the final.

b. The actual least-squares line for predicting final exam score y from midterm-exam score x was y^=46.6+0.41x. Predict the score of a student who scored

50 on the midterm and a student who scored 100 on the midterm.

c. Explain how your answers to part (b) illustrate regression to the mean.

Stand mixers The scatterplot shows the weight (in pounds) and cost (in dollars) of 11 stand mixers.35 The mixer from Walmart (highlighted in red) was much lighter鈥攁nd cheaper than the other mixers.

a. Describe what influence the highlighted point has on the equation of the least-squares regression line.

b. Describe what influence the highlighted point has on the standard deviation of the residuals and r2

Crickets chirping The scatterplot shows the relationship between x = temperature in degrees Fahrenheit and y = chirps per minute for the striped ground cricket, along with the regression line y^=鈭0.31+0.212x

a. Calculate and interpret the residual for the cricket who chirped 20 times per minute when the temperature was 88.6掳F.

b. About how many additional chirps per minute do you expect cricket to make if the temperature increases by 10掳F?

More hot dogs Refer to Exercise 19

a. Explain why it isn鈥檛 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.

A school guidance counselor examines how many extracurricular activities students participate in and their grade point average. The guidance counselor says, 鈥淭he evidence indicates the correlation between the number of extracurricular activities. a student participates in and his or her grade point average is close to 0.鈥 Which of the following is the most appropriate conclusion?

a. Students involved in many extracurricular activities tend to be students with poor grades.

b. Students with good grades tend to be students who are not involved in many extracurricular activities.

c. Students involved in many extracurricular activities are just as likely to get good grades as bad grades.

d. Students with good grades tend to be students who are involved in many

extracurricular activities.

e. No conclusion should be made based on the correlation without looking at a scatterplot of the data.

See all solutions

Recommended explanations on Math Textbooks

View all explanations

What do you think about this solution?

We value your feedback to improve our textbook solutions.

Study anywhere. Anytime. Across all devices.