The following data represent the calories and sugar, in grams, of various breakfast cereals. a. Compute the covariance. Product Calories Sugar CI 575.429 A 210 5-0 (Round to three decimal places as needed.) B 280 3.8 C 330 18.7 b. Compute the coefficient of correlation. D 370 19.1 E 450 15.1 r= 0.689 F 450 16-8 (Round to three decimal places as needed.) G 590 18.2 c. Which do you think is more valuable in expressing the relationship between calories Use the data above to complete parts (a) through (d)' and sugarthe covariance or the coefcient of correlation? Explain. The covariance is more valuable. It is an exact measure of the strength of a linear relationship. 8 The covariance is more valuable. It is not susceptible to the negative effects of lurking variables. The correlation is more valuable. It can be used to determine the relative strength of a linear relationship. The correlation is more valuable. It is the better measure for positive relationships. d. What conclusions can you reach about the relationship between calories and sugar? . The correlation indicates a moderate positive relationship. As calories increase, sugar tends to increase. . The covariance indicates a large variance in both calories and sugar. C. The correlation shows a nearly perfect positive relationship. . The covariance shows a very strong negative relationship. If calories increase, sugar will decrease