To evaluate the assumption of linearity, a multiple regression analysis should include ___________.
A) A calculation of variance inflation factors
B) Hypothesis tests of individual regression coefficients
C) Scatter diagrams of the dependent variable plotted as a function of each independent variable
D) An ANOVA table

Question

Quizplus · Accepted Answer

Scatter diagrams of the dependent variable plotted as a function of each independent variable can help visualize the relationship between each independent variable and the dependent variable. This can help assess whether the relationship appears linear or not. Variance inflation factors and ANOVA tables are useful for assessing multicollinearity and overall model fit, respectively. Hypothesis tests of individual regression coefficients can help determine if each independent variable is significantly related to the dependent variable, but does not necessarily assess linearity.

To Evaluate the Assumption of Linearity, a Multiple Regression Analysis