/*! 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.26 Strong association but no correl... [FREE SOLUTION] | 91影视

91影视

Strong association but no correlation The gas mileage of an automobile first increases and then decreases as the speed increases. Suppose that this relationship is very regular, as shown by the following data on speed (miles per hour) and mileage (miles per gallon). Make a scatterplot of mileage versus speed.

The correlation between speed and mileage isr=0. Explain why the correlation is 0 even though there is a strong relationship between speed and mileage.

Short Answer

Expert verified

The linear correlation coefficient is 0, because there is no LINEAR pattern in the scatterplot and the linear correlation coefficient only measures a linear pattern.

Step by step solution

01

Given Information

The speed and mileage have ar=0correlation.

02

Explanation 

The horizontal axis represents speed, while the vertical axis represents mileage.

03

Conclusion

The correlation is set to 0, indicating that there is no linear correlation.

The speed and mileage have a perfect quadratic relationship.

Because there is no LINEAR pattern in the scatterplot and the linear correlation coefficient only assesses a linear pattern, the linear correlation coefficient is 0.

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

An AP Statistics student designs an experiment to see whether today鈥檚 high school students are becoming too calculator-dependent. She prepares two quizzes, both of which contain 40questions that are best done using paper-

and-pencil methods. A random sample of 30students participates in the experiment. Each student takes both quizzes鈥攐ne with a calculator and one without鈥攊n random order. To analyze the data, the student constructs

a scatterplot that displays the number of correct answers with and without a calculator for each of the 30 students. A least-squares regression yields the equationCalculator=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 larger than the standard deviation on the calculator quizzes.

(a) I only (c) III only (e) I, II, and III

(b) II only (d) I and III only

Acid rain In the acid rain study of Exercise 39, the actual pH measurement for Week 50was5.08. Find and interpret the residual for this week.

Hot dogs Are hot dogs that are high in calories also high in salt? The figure below is a scatterplot of the calories and salt content (measured as milligrams of sodium) in 17brands of meat hot dogs.

(a) The correlation for these data is r=0.87. Explain what this value means.

(b) What effect would removing the hot dog brand with the lowest calorie content have on the correlation? Justify your answer.

Correlation blunders Each of the following statements contains an error. Explain what鈥檚 wrong in each case.

(a) 鈥淭here is a high correlation between the gender of American workers and their income.鈥

(b) 鈥淲e found a high correlation (r=1.09) between students鈥 ratings of faculty teaching and ratings made by other faculty members.鈥

(c) 鈥淭he correlation between planting rate and yield of corn was found to be r=0.23 产耻蝉丑别濒.鈥

Scientists examined the activity level of fish at 7 different temperatures. The fish activity was rated on a scale of 0 (no activity) to 100 (maximal activity). The temperature was measured in degrees Celsius. A computer regression printout and a residual plot are given below. Notice that the horizontal axis

on the residual plot is labeled 鈥減redicted (F/T).

Which of the following gives a correct interpretation of s in this setting?

(a) For every 1掳C increase in temperature, fish activity is predicted to increase by 4.785 units.

(b) The average distance of the temperature readings from their mean is about 4.785C

(c) The average distance of the activity level ratings from the least-squares line is about 4.785units.

(d) The average distance of the activity level readings from their mean is about 4.785

(e) At a temperature of 0C, this model predicts an activity level of 4.785

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.