Why are curvilinear relationships hard to detect with correlation coefficients (r)? group of answer choices
a. because r always assumes a negative relationship
b. because r always looks for the best straight line to fit the data
c. because r always assumes a zero association
d. because curvilinear relationships require a large amount of scores

-18 degrees is the answer : )

answer: it's d

step-by-step explanation:

$4034.40

the perimeter of the field is the sum of the lengths of the four sides:

47 yd + 158 yd + 47 yd + 158 yd = 410 yd

the cost of 3 ft (1 yd) of fence is 3×$3.28 = $9.84.

so the cost of jake's wood perimeter fance is

(410 yd) × ($9.84 /yd) = $4034.40

answer: 8d

step-by-step explanation:

45+5= 50+5=55+5=60