Use the following info to answer questions on this page: A manager of a famous company is interested in studying the relation between advertising cost (x) and monthly sales (y). The manager randomly selected 15 months and obtained sales (in millions of US dollars) as well as advertising costs (in ten thousands of US dollars). The chart below provides the summary statistics for the variables. Age standard mean Min Max deviation 5.4833 1.0721 2.6 8.5 Weight 17.84 4.0705 9.6 25 The correlation coefficient for the relationship between age and weight is 0.9246. a) Consider a linear regression of weight on age of this species of The correlation coefficient for the relationship between age and weight is 0.9246. Time left 1:44:58 a) Consider a linear regression of weight on age of this species of animals. What proportion of the variation of the weight can be explained by the age? Select one: O 0.962 O 0.145 O 0.855 O 0.925 O 0.731 b) What is the equation of the least-squares regression line of weight on age of this species of animals? Select one: Weight 0.244 + 1.139* (Age) = Time left 1:44:53 b) What is the equation of the least-squares regression line of weight on age of this species of animals? Select one: Weight 0.244 + 1.139* (Age) = Weight 1.139 +0.244* (Age) Weight = 0.401 + 3.510*(Age) O Weight = 3.510+ (-1.409)*(Age) O Weight = -1.409 + 3.510* (Age) c) Using the least-squares regression line, what is the predicted weight for a 8.3 year old animal? Select one: O 17.84 O 27.724 Weight = 0.401+ 3.510*(Age) Weight = 3.510+ (-1.409)*(Age) O Weight = -1.409 + 3.510*(Age) Time left 1:44:51 c) Using the least-squares regression line, what is the predicted weight for a 8.3 year old animal? Select one: O 17.84 27.724 O 3.164 6.838 O 13.087