Xy 2, 65 4, 74 6, 81 8, 96 10, 109 @directrix identify the equation of the least squares regression line that most closely matches the data set. yˆ = 0.17x − 13.2 yˆ = 5.5x + 52 yˆ = 3.5x − 6921.2 yˆ = −2.2x + 13.8

The answer is yˆ = 5.5x + 52 
The closest to this is that equation, you can check it to prove that it is closer than the other options.

Let, yˆ = 5.5x + 52  be the equation

X=2,4,6,8,10
y=?

x1=2
y1=5.5(2) + 52
=63

x2=4
y2=5.5(4) + 52
=74

x3=6
y3=5.5(6) + 52
=85

x4=8
y4=5.5(8) + 52
=96

x5=10
y5=5.5(10) + 52
=107

Slope: (y2-y1)/(x2-x1)
Plug in points
(-5-3)/(-2+4) = -8/2 = -4
The slope is -4