Question: Now consider the following model for the same problem, the same real estate data in question 1.

i.,e. y = ?₀+??₁x₁ +?? ₂x₂ +? _{3 \[x_{2}^{2}\]} +? ₄ x₁ x₂ +?.

a) Solve the model. By setting ?=0.05, is the model appropriate? Are the predictors significant?

b) Would your decision be different on buying the house that has 2000 square feet, a rating of 8, and the price of $178,000, if you used this model? Explain.

c) Is this model better than the model in question 1? Answer by conducting nested (partial) F tests.