In a study to determine the effect of vehicle weight in tons (x₁) and engine displacement in in³ (x₂) on fuel economy in miles per gallon (y), these quantities were measured for ten automobiles. The full quadratic model y = β₀ + β₁x₁ +β₂x₂ + β₃x²₁+ β₄x²₂+ β₅x₁x₂ + ε was fit to the data, and the sum of squares for error was SSE = 62.068. Then the reduced model y = β₀ +β₁x₁ +β₂x₂ + ε was fit, and the sum of squares for error was SSE = 66.984. Is it reasonable to use the reduced model, rather than the full quadratic model, to predict fuel economy? Explain.