Question

Suppose the correlation between height and weight for adults is +0.40. What proportion (or percent) of...

Suppose the correlation between height and weight for adults is +0.40. What proportion (or percent) of the variability in weight that is related to height? (Hint-coefficient of determination). (1 pt) please show all work and steps

a. 40%

b. 16%

c. 0.40%

d. 0.16%

0 0
Add a comment Improve this question Transcribed image text
Answer #1

We know that the coefficient of determination R2 is given by:

R^2=r^2=(0.40)^2=0.16

So, 16% of the variability in weight that is related to height.

Hence option B.

Add a comment
Know the answer?
Add Answer to:
Suppose the correlation between height and weight for adults is +0.40. What proportion (or percent) of...
Your Answer:

Post as a guest

Your Name:

What's your source?

Earn Coins

Coins can be redeemed for fabulous gifts.

Not the answer you're looking for? Ask your own homework help question. Our experts will answer your question WITHIN MINUTES for Free.
Similar Homework Help Questions
  • Height vs Weight - Erroneous Data: You will need to use software to answer these questions....

    Height vs Weight - Erroneous Data: You will need to use software to answer these questions. Below is the scatterplot, regression line, and corresponding data for the height and weight of 11 randomly selected adults. You should notice something odd about the last entry.           index height (x) weight (y) inches pounds 1 60 120 2 72 200 3 65 130 4 72 205 5 67 180 6 69 180 7 68 193 8 69 195 9 61 115 10...

  • A study claims that the proportion of adults in the U.S. with rudimentary literary skills is...

    A study claims that the proportion of adults in the U.S. with rudimentary literary skills is 21%. A researcher believes the true percentage differs from this one that is published (Source: U.S. Department of Education). Which of the following demonstrates a Type I error? A. Not rejecting H0: p = 0.21, when actually p = 0.21. B. Rejecting H0: p = 0.21, when actually p = 0.21. C. Rejecting H0: p = 0.21, when actually p is not equal to...

  • . The height (sidewalk to roof) of notable tall buildings in America is compared to the...

    . The height (sidewalk to roof) of notable tall buildings in America is compared to the number of stories of the building (beginning at street level). Height (in feet) Stories 1,050 57 428 28 362 26 529 40 790 60 401 22 380 38 1,454 110 1,127 100 700 46 a. Using “stories” as the independent variable and “height” as the dependent variable, make a scatter plot of the data. b. Does it appear from inspection that there is a...

  • 2. What is the coefficient of correlation between miles per gallon and weight? What is the...

    2. What is the coefficient of correlation between miles per gallon and weight? What is the sign of the correlation coefficient? Does the coefficient of correlation indicate a strong correlation, weak correlation, or no correlation between the two variables? How do you know? See Step 3 in the Python script. 3. Write the simple linear regression equation for miles per gallon as the response variable and weight as the predictor variable. How might the car rental company use this model?...

  • Researchers want to know if there is a correlation between mother’s age and birth weight for...

    Researchers want to know if there is a correlation between mother’s age and birth weight for these seven infants. a) Calculate the Pearson Correlation Coefficient for these two variables and b) test whether the correlation is significantly different from 0. Run the test at a 5% level of significance. Give each of the following for part b to receive full credit: 1) the appropriate null and alternative hypotheses; 2) the appropriate test; 3) the decision rule; 4) the calculation of...

  • 10 8 each]Problem 3 For a certain group of 3,000 slender men, the correlation between height...

    10 8 each]Problem 3 For a certain group of 3,000 slender men, the correlation between height and weight is8 The scatter diagram is football-shaped. The average height is 70 inches with an SD of 5 inches. The average weight is 160 pounds with an SD of 25 pounds. 13 in A) What percent of the men are taller than 6 foot, 1 inch, ie., 73 inches? 27.43% many men is this?23 men How 27 43-р О 2743(5.0): B) Given that...

  • Q6). We are interested in exploring the relationship between the weight of a vehicle and its...

    Q6). We are interested in exploring the relationship between the weight of a vehicle and its fuel efficiency (gasoline mileage). The data in the table show the weights, in pounds, and fuel efficiency, measured in miles per gallon, for a sample of 12 vehicles. Weight Fuel Efficiency 2710 24 2550 24 2680 29 2720 38 3000 25 3410 22 3640 21 3700 27 3880 21 3900 19 4060 21 4710 16 Part (c) Find the equation of the best fit...

  • 12. Suppose a random sample of 30 participants found a correlation of r = .27 between...

    12. Suppose a random sample of 30 participants found a correlation of r = .27 between number of minutes spent meditating and their score on a test of concentration ability. Is this enough evidence to conclude that there is a relationship between meditation and the ability to concentrate in general? Use α = .05, two -tailed. Clearly illustrate BOTH techniques as taught for Correlation (One if the standard formula and one is called the “easy” method). Be sure to be...

  • Suppose that the regression for predicting weight (in pounds) from Height (in Select one answer inches)...

    Suppose that the regression for predicting weight (in pounds) from Height (in Select one answer inches) is given by Weight =-115 + 3.6(Height) Which of the following statements is correct? I. A person who is 61 inches tall will weigh 104.6 pounds II. For every additional inch of height, the predicted weight will increase, on average, by 3.6 pounds. III. The correlation between weight and height is negative. ı points A. I only B. II only C. III only D....

  • 11. Suppose a random sample of 25 students found a correlation of r = –.53 between...

    11. Suppose a random sample of 25 students found a correlation of r = –.53 between number of absences and final grade. Is this enough evidence to conclude that there is a relationship between absences and final grades in general? Use α = .05, two -tailed. Use “Tr” technique as illustrtaed on the PowerPoint lecture. Use of any other formula will be considered incorrect. Include your write up as well. (2 pts) please show all work steps.

ADVERTISEMENT
Free Homework Help App
Download From Google Play
Scan Your Homework
to Get Instant Free Answers
Need Online Homework Help?
Ask a Question
Get Answers For Free
Most questions answered within 3 hours.
ADVERTISEMENT
ADVERTISEMENT
Active Questions
ADVERTISEMENT