The linear regression is a(n) ______ model.

• A. Classification
• B. Descriptive
• C. Prediction
• D. Clustering

Answer: (C)

Linear regression is used to predict a numeric outcome from input features. It fits a linear relationship so you can forecast the target value for new data, which makes it a predictive model in supervised learning. It’s not about assigning categories (classification), grouping data without labels (clustering), or simply summarizing data (descriptive). So the term that best describes linear regression is a prediction model.