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.

none of the above.

for one of the equations to be used in the process, there has to be a term in the equation since squared is .

since there is only a term in the first equation, we cannot derive a from completing the square.

solving with completing the square

step-by-step explanation: