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

the answer is 96 degrees

step-by-step explanation:

you have to realize that a line equals 180 degrees

1/4 because there is 4 grades.

answer: the price of one pound cabbage = $ 0.8

the point (10,8) represents that the cost of 10 pounds cabbage is $ 8

step-by-step explanation:

since, here is a proportional relation between the number of pounds of cabbage (x) and the price in dollars (y).

therefore, we can write,

⇒ y = k x

where k is the constant of proportionality.

now, point (5,4) is in the line.

thus, it will satisfies the above equation of line.

⇒ 4 = 5 k

⇒ k = 0.8

thus, the equation of the line is,

y = 0.8 x

a) for x = 1,

y = 0.8

therefore, the cost of one pound of cabbage is 0.8 dollars.

b) in the below graph (10,8) represents that the cost of 10 pounds of cabbage is 8 dollars.