Regressions were performed on measurements, x and y, taken on 9 subjects. Regression 1 produced ŷ = −11.5106 + 10.425x and had the residual plot: Regression 2 produced cube root of y hat = 0.015128 + 1.01003x and had the following residual plot:

Which statement is best supported by the evidence?

Regression 1 is a better fit as there is a nonlinear relationship between x and y.
Regression 2 is a better fit as there is a nonlinear relationship between x and y.
Regression 1 is a better fit as there is a linear relationship between x and y.
Regression 2 is a better fit as there is a linear relationship between x and y.
There is a positive relationship between x and y.