In multiple regression analysis, the general linear model
A) cannot be used to accommodate curvilinear relationships between dependent variables and independent variables.
B) can be used to accommodate curvilinear relationships between the independent variables and dependent variable.
C) must contain more than two independent variables.
D) cannot use the standard multiple regression procedures for estimation and prediction.

Question

Quizplus · Accepted Answer

The general linear model can be used to accommodate curvilinear relationships between the independent variables and dependent variable through techniques such as polynomial regression or adding transformed variables. However, choice A is incorrect because the model can also accommodate curvilinear relationships between the dependent variable and independent variables. Choice C is incorrect because the model can be used with only one or two independent variables. Choice D is incorrect because standard multiple regression procedures can be used for estimation and prediction.

In Multiple Regression Analysis, the General Linear Model