Use the table of values to calculate the linear correlation coefficient r.
X Y
4 -5
53 -1
86 13
162 16

Given the data

X, ...rankXYrankYd=rx-ryd²

44-5400

533-1300

86213200

162116100

Then, using the rank correlation formula

p = 1 — 6•Σd² / n(n²—1)

p = 1 - 6• 0 / 4(4²-1)

p = 1 - 0

p = 1

So, the rank correlation is 1, this means that the two variables being compared are monotonically related, even if their relationship is not linear.

l.jnl.j/n.m,lm,

step-by-step explanation:

%40

step-by-step explanation: