Amanager was attempting to predict store coat sales using the number of customers entering the store. the following data was collected: mean coat sales $350, standard deviation of sales $50, mean number of customers 120 and standard deviation of the number of customers 40. the correlation between the number of customers and coat sales is 0.6. the best fit least squares regression line is:

a. sales = a x + b %3d
b. sales = 260 + 0.75 x number of customers
c. sales = 442 + 0.9 x number of customers
d. no answer is correct.
e. sales = 514 + 0.3 x number of customers

High school seniors with strong academic records apply to the nation’s most selective colleges in greater numbers each year. because the number of slots remains relatively stable, some colleges reject more early applicants. suppose that for a recent admissions class, an ivy league college received 2851 applications for early admission. of this group, it admitted 1033 students early, rejected 854 outright, and deferred 964 to the regular admission pool for further consideration. in the past, this school has admitted 18% of the deferred early admission applicants during the regular admission process. counting the students admitted early and the students admitted during the regular admission process, the total class size was 2375. let e, r, and d represent the events that a student who applies for early admission is admitted early, rejected outright, or deferred to the regular admissions pool. suppose a student applies for early admission. what is the probability that the student will be admitted for early admission or be deferred and later admitted during the regular admission process?