Hi, i need help with this as soon as possible. I will be giving 100 points!! The cost and customer rating of 15 cars is shown on the scatterplot. The cars are rated on a scale of 0 to 100.

Part A: Describe the association shown in the scatterplot. (4 points).

Part B: Give an example of a data point that affects the appropriateness of using a linear regression model to fit all the data. Explain. (4 points)

Part C: Give an example of a car that is cost effective and rated highly by customers. (2 points)

step-by-step explanation:

always plug in x. in this case, x equals 4.

i'm going to first solve 4(2+3x)

1) 4(2+3(4)) use pemdas to solve.

i'm going to multiply whats in the parenthesis first, so 3 times 4=12.

2)4 (2+12) i'm then going to multiply 4 by both numbers in the parenthesis (because multiplying comes before adding)

4 times 2= 8.   4 times 12= 48

4) (8+48)= 56 (answer)

i'm then going to solve 8+12x and plug in 4 for x.

1) 8 +12(4)

multiplying comes before adding, so i'm gonna multiply 12 and 4.

12 times 4= 48.

2) 8+48=56

both equal the same!

she will travel a distance in the range of 3 - 11 miles

ok so what's the question?

step-by-step explanation:

a ≈ 172.05

step-by-step explanation:

the pictures.