If data set a of (x, y) data has correlation coefficient r = 0.65, and a second data set b has correlation r = –0.65, then
(a) the points in a exhibit a stronger linear association than b.
(b) the points in b exhibit a stronger linear association than a.
(c) neither a nor b has a stronger linear association.
(d) you can’t tell which data set has a stronger linear association without seeing the data or seeing the scatterplots.
(e) a mistake has been made—r cannot be negative.

b

Step-by-step explanation:

true statements:

a) x + y = y + x   ⇒ commutative property of addition

b) (x * y) * z = x * (y * z) ⇒ associative property of multiplication

d) (x + y) + z = x + (y + z) ⇒ associative property of addition

false statements:

c) x - y = y - x   should be: x - y = - y + x

e) (x - y) - z = x - (y - z) should be: (x - y) - z = x - (y + z)

step-by-step explanation:

you divide the cost ($15) by the quantity (6) to get your questions answer. the yo-yo costs $2.50. hope this : )!

step-by-step explanation: