In linear regression, what is the name of the attribute that will be predicted?

• A. Independent Variable
• B. Dependent Variable
• C. Input Variable
• D. Target Feature

Answer: (B)

In linear regression, the quantity you are trying to predict is the dependent variable. This variable is the outcome that depends on the input features (the predictors or independent variables). The model learns to map the input values to this outcome, typically written as Y = β0 + β1X1 + … + βpXp, where Y is the value being predicted. While terms like independent variable or input variable refer to the predictors, and target feature is a more general label used in some contexts, the standard terminology for the quantity the model forecasts is the dependent variable.