Definition
Regression Models are statistical or Machine Learning models used primarily to estimate continuous numerical target values from relationships represented in data.
Human Explanation
A Regression Model estimates a number, such as expected sales, cost, demand or completion time, rather than selecting a predefined category.
Why it Matters
Regression Models support numerical prediction, planning and analysis across many operational and business applications.
Conceptual Boundary
Regression is the broader statistical method for modelling relationships. A Regression Model is a particular model produced using such an approach, often for numerical prediction. Naming can be misleading: logistic regression is commonly used for Classification even though its name contains the word regression.
Practical Perspective
The appropriate model depends on the target, data structure, assumptions and intended use. Predictive performance, uncertainty and behaviour on new data matter more than training fit alone.