Which best describes the strength of the model with an r-value of -0.93? a weak positive correlation
a strong positive correlation
a weak negative correlation
a strong negative correlation

strong negative correlation

Step-by-step explanation:

The correct answer is:

a strong negative correlation

Explanation:

A strong correlation is one that is close to either 1 or -1. -0.93 is very close to -1, so this is a strong correlation.

A negative correlation is one that has a negative r-value. This is a negative r-value, so it is a negative correlation.

answer: 16

step-by-step explanation: first you would add 6+6 which equals 12 then add 2+2 which equals 4. then add 12 + 4 which is 16.

hope this ^_^

b

step-by-step explanation:

the equation of a line in point- slope form is

y - b = m(x - a)

where m is the slope and (a, b) a point on the line

calculate m using the slope formula

m = (y₂ - y₁ ) / (x₂ - x₁ )

with (x₁, y₁ ) = (0, 4) and (x₂, y₂ ) = (3, - 5) ← 2 points on the line

m = = = - 3

with m = - 3 and (a, b) = (3, - 5), then

y - (- 5) = - 3(x - 3), that is

y + 5 = - 3(x - 3) → b