What distinguishes multiple regression from simple regression?
Correct Answer
A) Multiple regression uses more than one predictor
Why this is correct: The original explanation states that multiple regression uses several independent variables (predictors) to estimate their simultaneous effect on the dependent variable (e.g., price). Simple regression uses only one predictor. Why the other choices are wrong: Multiple regression requires a larger sale price is false; price level doesn't define the model. Multiple regression is run more than once in turn describes a sequential process, not the defining characteristic. Multiple regression needs no dependent variable is incorrect; all regression models require a dependent variable. Exam tip: Simple regression: one predictor. Multiple regression: two or more predictors.
Why This Is the Correct Answer
Why this is correct: The original explanation states that multiple regression uses several independent variables (predictors) to estimate their simultaneous effect on the dependent variable (e.g., price). Simple regression uses only one predictor. Why the other choices are wrong: Multiple regression requires a larger sale price is false; price level doesn't define the model. Multiple regression is run more than once in turn describes a sequential process, not the defining characteristic. Multiple regression needs no dependent variable is incorrect; all regression models require a dependent variable. Exam tip: Simple regression: one predictor. Multiple regression: two or more predictors.
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