The accompanying table shows the maximum weights (in kilograms) for which one repetition of a half squat can be performed and the jump heights (in centimeters) for 12 international soccer players. Complete parts (a)through (d) below.Click here to view the data table Click here to view the table of critical values for the Pearson correlation coefficient.(a) Display the data in a scatter plot. Choose the correct graph below.A.Jump Height (cm)220140-●●4565Max Weight (kg)(b) Calculate the sample correlation coefficient r.(Round to three decimal places as needed.)B.Jump Height (cm)220-140+45●●65Max Weight (kg)QJump Height (cm)65+45+140●•:220Max Weight (kg)QJump Height (cm)65-45+220140Max Weight (kg) efficient r.=ded.)Weight and Jump HeightMaximum weight, x190180160185175175155165165180185210PrintJump Height, y5928 9486658546155635150566064DoneIX220ht (kg)N

XYX.YX2Y21905911210361003481180581044032400336416054864025600291618561112853422537211755596253062530…

Answered: The accompanying table shows the…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Similar questions

The table lists weights (pounds) and highway mileage amounts (mpg) for seven automobiles. Use the sample data to construct a scatterplot. Use the first variable for the x-axis. Based on the scatterplot, what do you conclude about a linear correlation? Weight (lb) Highway (mpg) Which scatterplot below shows the data? A. 40- 20- 2000 5000 2795 3225 3470 32 34 28 Weight (lb) B. 40- 20+ 2000 D 5000 Weight (lb) 4085 4155 2225 25 23 38 C. ● 20+ 2000 ● ● ● ● 5000 Weight (lb) Is there a linear relationship between weight and highway mileage? A. No, there appears to be no relationship. B. Yes, as the weight increases the highway mileage decreases. C. No, there appears to be a relationship, but it is not linear. D. Yes, as the weight increases the highway mileage increases. 40- 20- 2000 3440 29 5000 Weight (lb)
Given the scatter plot shown, determine if the correlation is positive, negative, or if there is no relative correlation. Correlation for this scatter plot: Select an answer
Match the linear correlation coefficient to the scatter diagram. r-0.764 Choose the correct graph below. OA. O B. c. OD. Explanatory Explanatory Explanatory Explanatory Response Response esponse Response
An aerobic exercise instructor remembers the data given in the following table, which shows the recommended maximum exercise heart rates for individuals of the given ages. Age (x years) 20 30 40 50 60 Maximum heart rate 170 168 153 147 136 (y beats per minute) Find the linear correlation coefficient for the data.
Answer B question
Please follow and copy the solution given in the example for the answer Thanks.
Many people believe that crime rate declines with age. a) Use the data below to verify whether this is true using a scatterplot. b) Is the relationship between crime rate and age strong, medium, or weak? c) Can the correlation coefficient be used to measure the extent to which crime rate is related to age? E Click the icon to view the data. a) Choose the correct scatterplot below. O A. O B. OC. OD. 20,000- 20,000- 20,000- 20,000- 0- Age Age Age Age Does it appear that the crime rate declines with age? O A. The crime rate tends to gradually increase with age. B. The crime rate tends to increase until adulthood, after which it gradually declines. OC. The crime rate tends to increase until middle age, after which it gradually declines. O D. The crime rate tends to gradually decrease with age. b) Is the relationship between crime rate and age strong, medium, or weak? O A. The scatterplot appears to show a medium relationship. B. The scatterplot appears to show a weak relationship. O C. The…
Do all Please calculate: Parameters a and b Correlation coefficient Determination coefficient Write correlation equation Visualise data in Scatter chart Provide explanation of results Year Sales, MEUR (Yi) Employees with higher education (Xi) 2010 70 10 2011 90 12 2012 100 15 2013 80 13 2014 110 17 2015 120 20 2016 150 25 2017 200 25 2018 200 25
A study is conducted to determine the relationship between a driver’s age and the number of accidents he or she has over a 1-year period. The data are presented in table below. a. Draw a scatter plot. What does it show? b. Compute the value of the correlation coefficient.
answer please
The accompanying table lists the ages of acting award winners matched by the years in which the awards were won. Construct a scatterplot, find the value of the linear correlation coefficient r, and find the P-value of r. Determine whether there is sufficient evidence to support a claim of linear correlation between the two variables. Should we expect that there would be a correlation? Use a significance level of a = 0.01. Click the icon to view the ages of the award winners. Construct a scatterplot. Choose the correct graph below. OA 70- 20- 20 70 Best Actress (years) B. 70- 20- 20 70 Best Actress (years) The linear correlation coefficient is r = (Round to three decimal places as needed.) 70- 20- 20 70 Best Actress (years) Q G D. 70- 20- 20 70 Best Actress (years)
The following shows a linear correlation between weight and height. Image result for scatter plot scatter plot positive histogram negative O pie chart random frequency polygon biased

SEE MORE QUESTIONS

Recommended textbooks for you

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

MATLAB: An Introduction with Applications

Statistics

ISBN:

9781119256830

Author:

Amos Gilat

Publisher:

John Wiley & Sons Inc

Probability and Statistics for Engineering and th…

Statistics

ISBN:

9781305251809

Author:

Jay L. Devore

Publisher:

Cengage Learning

Statistics for The Behavioral Sciences (MindTap C…

Statistics

ISBN:

9781305504912

Author:

Frederick J Gravetter, Larry B. Wallnau

Publisher:

Cengage Learning

Elementary Statistics: Picturing the World (7th E…

Statistics

ISBN:

9780134683416

Author:

Ron Larson, Betsy Farber

Publisher:

PEARSON

The Basic Practice of Statistics

Statistics

ISBN:

9781319042578

Author:

David S. Moore, William I. Notz, Michael A. Fligner

Publisher:

W. H. Freeman

Introduction to the Practice of Statistics

Statistics

ISBN:

9781319013387

Author:

David S. Moore, George P. McCabe, Bruce A. Craig

Publisher:

W. H. Freeman

SEE MORE TEXTBOOKS