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linear regression
This term is a technical expression used primarily in statistics, data science, and econometrics. It describes a specific mathematical approach to predictive modeling where the goal is to find the best-fitting straight line through a set of data points. While "regression" can refer to various types of statistical analysis, the modifier "linear" specifies that the relationship between variables is assumed to be a straight line.
In professional and academic writing, it is treated as a singular conceptual entity. It is rarely used in casual conversation unless the speaker is discussing quantitative research or machine learning. Users should distinguish it from "logistic regression," which is used for binary outcomes rather than continuous numerical values.