The data in the table represent the fuel economy (mpg) for a car at different speeds (mph).
according to the least squares regression equation, what is the approximate fuel economy for this vehicle at 65 mph?
a) about 46 mpg
b) about 49 mpg
c) about 22 mpg
d) about 36 mpg

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!

y=mx+b

step-by-step explanation:

m slope

b y-intercept