Which statement best describes the target of linear regression?

• A. It Predicts a Category Label.
• B. It Clusters Data Into Groups.
• C. It Transforms Data Into Binary Features.
• D. It Predicts a Continuous Numeric Value.

Answer: (D)

Linear regression targets a continuous numeric value. It learns a real-valued output y from input features by fitting a linear function that minimizes prediction error across the data. This makes it suitable for tasks like predicting house prices or temperatures, where the result can take any real value. It isn’t about assigning categories (classification), clustering into groups, or converting features into binary indicators—that would be different techniques or preprocessing steps.