Listed below are paired data consisting of waist size in centimeters and Body Mass Index BMI from a random sample of 20 adult men selected from the population.  At the a = 0.05 significance level, test the claim that there is positive linear correlation between waist size and Body Mass Indices in adult men, by answering questions a. thru e. below.   That is, test the claim: ρ>0 This uses a Null Hypothesis of  ρ =0 and an Alternative Hypothesis of ρ>0       WAIST BMI   120.4 33.3   107.8 28.0   120.3 45.4   97.2 28.4   95.1 25.9   112.0 31.1   78.0 20.1   103.5 32.7   89.7 25.8   112.0 36.5   95.0 25.8   115.3 34.5   118.8 37.4   92.6 26.1   75.5 19.3   101.8 29.9   92.5 27.4   100.8 31.4   82.8 21.0   92.9 28.5       a. What is the linear correlation coefficient r = ­­­­­­­___________________________         b. What is the P-Value =­­­­­­­_______________________________       c. What is your conclusion concerning the claim?             d. If you concluded that there is linear correlation between waist size and Body Mass Index, then what is the correct regression equation for the regression line that best fits the data?  That is write out the equation of the linear regression line With the correct values for a and b in the equation       e. If you concluded that there is positive linear correlation between waist size and Body Mass Index, use the regression equation to estimate the Body Mass Index for a male with a waist size of 100 cm?

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
icon
Related questions
Question

 Listed below are paired data consisting of waist size in centimeters and Body Mass Index BMI from a random sample of 20 adult men selected from the population.  At the a = 0.05 significance level, test the claim that there is positive linear correlation between waist size and Body Mass Indices in adult men, by answering questions a. thru e. below.

 

That is, test the claim: ρ>0

This uses a Null Hypothesis of  ρ =0 and an

Alternative Hypothesis of ρ>0

 

 

 

WAIST

BMI

 

120.4

33.3

 

107.8

28.0

 

120.3

45.4

 

97.2

28.4

 

95.1

25.9

 

112.0

31.1

 

78.0

20.1

 

103.5

32.7

 

89.7

25.8

 

112.0

36.5

 

95.0

25.8

 

115.3

34.5

 

118.8

37.4

 

92.6

26.1

 

75.5

19.3

 

101.8

29.9

 

92.5

27.4

 

100.8

31.4

 

82.8

21.0

 

92.9

28.5

 

 

 

a.

What is the linear correlation coefficient r = ­­­­­­­___________________________

 

 

 

 

b.

What is the P-Value =­­­­­­­_______________________________

 

 

 

c.

What is your conclusion concerning the claim?

 

 

 

 

 

 

d.

If you concluded that there is linear correlation between waist size and Body Mass Index, then what is the correct regression equation for the regression line that best fits the data?  That is write out the equation of the linear regression line

With the correct values for a and b in the equation

 

 

 

e.

If you concluded that there is positive linear correlation between waist size and Body Mass Index, use the regression equation to estimate the Body Mass Index for a male with a waist size of 100 cm?  

 

Expert Solution
trending now

Trending now

This is a popular solution!

steps

Step by step

Solved in 7 steps with 22 images

Blurred answer
Similar questions
Recommended textbooks for you
MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
Statistics
ISBN:
9781119256830
Author:
Amos Gilat
Publisher:
John Wiley & Sons Inc
Probability and Statistics for Engineering and th…
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 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…
Elementary Statistics: Picturing the World (7th E…
Statistics
ISBN:
9780134683416
Author:
Ron Larson, Betsy Farber
Publisher:
PEARSON
The Basic Practice of Statistics
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
Introduction to the Practice of Statistics
Statistics
ISBN:
9781319013387
Author:
David S. Moore, George P. McCabe, Bruce A. Craig
Publisher:
W. H. Freeman