/*! 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

IQ and reading scoresData on the IQ test scores and reading test scores for a group of 铿乫th-grade children give the following regression line: predicted reading score -33.4+0.882(IQ score).

(a) What鈥檚 the slope of this line? Interpret this value in context.

(b) What鈥檚 the intercept? Explain why the value of the intercept is not statistically meaningful.

(c) Find the predicted reading scores for two children with IQ scores of 90and 130, respectively.

Do heavier people burn more energy? Metabolic rate, the rate at which the body consumes energy, is important in studies of weight gain, dieting, and exercise. We have data on the lean body mass and resting metabolic rate for 12women who are subjects in a study of dieting. Lean body mass, given in kilograms, is a person鈥檚 weight leaving out all fat. Metabolic rate is measured in calories burned per 24hours. The researchers believe that lean body mass is an important influence on metabolic rate.

(a) Make a scatterplot on your calculator to examine the researchers鈥 belief.

(b) Describe the direction, form, and strength of the relationship.

56. Do heavier people burn more energy? Refer to Exercise54.
(a) Use your calculator to make a residual plot. Describe what this graph tells you about how well the line fits the data.
(b) Which point has the largest residual? Explain what the value of that residual means in context.

You use the same bar of soap to shower each morning. The bar weighs 80grams when it is new. Its weight goes down by 6 grams per day on average. What is the equation of the regression line for predicting weight from days of use?

When we standardize the values of a variable, the distribution of standardized values has a mean 0and a standard deviation 1Suppose we measure two variables Xand Yon each of several subjects. We standardize both variables and then compute the least-squares regression line. Suppose the slope of the least-squares regression line is 0.44We may conclude that

(a) the correlation will be 1/0.44

(b) the intercept will also be 0.44

(c) the intercept will be 1.0

(d) the correlation will be 1.0

(e) the correlation will also be 0.44

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.