A regression model that involves two or more independent variables is called multiple regression. Group of answer choicesTrueFalse

Answer

The statement is True.

Explanation

Multiple regression involves the use of two or more independent variables to predict the outcome of a dependent variable. This technique allows researchers to model the relationship between the variables in a more comprehensive way than simple linear regression, which only considers one independent variable. By including multiple predictors, the model can account for the interaction between these variables, leading to improved accuracy in predictions. Moreover, multiple regression can help identify which independent variables significantly influence the dependent variable and how they interact with each other. Therefore, the definition given in the question accurately describes multiple regression.