Regressions were performed on measurements, x and y, taken on 8 subjects. Regression 1 produced ŷ = 57.1024 + 17.331x and had the residual plot:

Regression 2 produced square root of y hat. = 0.158283 + 0.98559 x and had the residual plot:

Which statement is best supported by the evidence?

Select one:

a. Regression 1 is a better fit as there is a linear relationship between x and y.

b. Regression 2 is a better fit as there is a linear relationship between x and y.

c. There is a positive relationship between x and y.

d. Regression 1 is a better fit as there is a nonlinear relationship between x and y.

e. Regression 2 is a better fit as there is a nonlinear relationship between x and y.

6.5

step-by-step explanation:

you said it was in the question

~courtney

so firstly, we need to isolate the y variables to be able to solve these inequalities. firstly, add 0.5x on both sides of the first inequality and subtract 1.5x on both sides of the second inequality:

now since the slope is positive for the first inequality, this means that the line going upwards belongs to the first inequality, and the line going downwards belongs to the second inequality.

next, since y ≥ in the first inequality, this means that the shaded region will be above the first inequality's line, thus shading regions a and b.

next, since y ≤ in the second inequality, this means that the shaded region is going to be below this line, thus shading regions a and c.

since both lines shade region a, this means that region a is the solution.

step-by-step explanation:

mark brainliest!

4 candies

step-by-step explanation:

7 x 28 = 196

200 - 196 = 4 candies remaining.