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MATLAB: An Introduction with Applications
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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i would like only (d) to be solved 

The following data represent the calories and fat, in grams, of various 16-ounce a. Compute the sample covariance. iced coffee drinks. (Round to three decimal places as needed.) Product Calories Fat A 240 9.0 b. Compute the coefficient of correlation. B 290 3.9 350 22.0 (Round to three decimal places as needed.) 21.7 17.7 20.4 D 380 490 520 600 c. Which do you think is more valuable in expressing the relationship between calories and fat-the covariance or the coefficient of correlation? Explain. F G 19.5 O A. The correlation is more valuable. It can be used to determine the relative strength of a linear relationship. Use the data above to complete parts (a) to (d). O B. The correlation is more valuable. It is the better measure for positive relationships. OC. The covariance is more valuable. It is an exact measure of the strength of a linear relationship. d. What conclusions can you reach about the relationship between calories and fat? O A. The correlation shows a nearly perfect positive relationship. O B. The covariance indicates a large variance in both calories and fat. O C. The covariance shows a very strong positive relationship. If calories increase, so will fat. O D. The correlation indicates a moderate positive relationship. As calories increase, fat tends to increase.
Transcribed Image Text:The following data represent the calories and fat, in grams, of various 16-ounce a. Compute the sample covariance. iced coffee drinks. (Round to three decimal places as needed.) Product Calories Fat A 240 9.0 b. Compute the coefficient of correlation. B 290 3.9 350 22.0 (Round to three decimal places as needed.) 21.7 17.7 20.4 D 380 490 520 600 c. Which do you think is more valuable in expressing the relationship between calories and fat-the covariance or the coefficient of correlation? Explain. F G 19.5 O A. The correlation is more valuable. It can be used to determine the relative strength of a linear relationship. Use the data above to complete parts (a) to (d). O B. The correlation is more valuable. It is the better measure for positive relationships. OC. The covariance is more valuable. It is an exact measure of the strength of a linear relationship. d. What conclusions can you reach about the relationship between calories and fat? O A. The correlation shows a nearly perfect positive relationship. O B. The covariance indicates a large variance in both calories and fat. O C. The covariance shows a very strong positive relationship. If calories increase, so will fat. O D. The correlation indicates a moderate positive relationship. As calories increase, fat tends to increase.
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