Given the regression model y = $\beta$₀ + $\beta$₁X₁ + $\beta$₂X₂ + $\beta$₃X₁² + $\beta$₄X₂² + $\varepsilon$,if we wish to test the significance of higher order terms, (X₁² and X₂²)we would use the following test. A)Overall F test B)Durbin-Watson test C)Partial F test D)t test E)Cook's distance measure

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For testing the significance of higher order terms, we use the partial F test. The partial F test is a statistical test that is used to determine if a multiple regression model that contains two or more predictors is statistically significant. The test shows whether the overall coefficient of determination is significantly different from zero when adding a particular independent variable to the model.

Given the Regression Model Y = β\betaβ 0 β\betaβ 1X1 β\betaβ

Given the Regression Model Y = $\beta$ ₀ $\beta$ ₁X₁ $\beta$