A savvy egg quality forecaster develops a linear model using the transformation X 2 = (Haugh Units) 2. Which of these statements about the equation Ŷ = 15.2-7X 1 -3.5X 2 is best? Y = The curvature of the relationship is more important than the linear component. Y = The intercept term in the model is twice as important at the value of the Haugh Units. Haugh Units have twice the impact as Haugh Units squared. We should not try to interpret the coefficients of the variables due to the correlation between X1 and X2