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Regression analysis - Wikipedia
The most common form of regression analysis is linear regression, in which one finds the line (or a more complex linear combination) that most closely fits the data according to a specific mathematical criterion.

Regression in Machine Learning - GeeksforGeeks
Regression is a supervised learning technique used to predict continuous numerical values by learning relationships between input variables (features) and an output variable (target).

Regression: Definition, Analysis, Calculation, and Example
Regression is a statistical measurement that attempts to determine the strength of the relationship between one dependent variable and a series of independent variables.

Linear regression - Wikipedia
Like all forms of regression analysis, linear regression focuses on the conditional probability distribution of the response given the values of the predictors, rather than on the joint probability distribution of all of these variables, which is the domain of multivariate analysis.

What Is a Regression Model and How Does It Work?
At its core, a regression model takes a variable you want to predict (called the dependent variable) and estimates how it changes based on one or more input variables (called independent variables).

7 Common Types of Regression (And When to Use Each) - Statology
Regression analysis is one of the most commonly used techniques in statistics. The basic goal of regression analysis is to fit a model that best describes the relationship between one or more predictor variables and a response variable.

What is Regression Analysis? - GeeksforGeeks
Regression Analysis is a statistical method used to understand the relationship between input features and a target value that varies across a continuous numeric range.

Regression Analysis - Types, Assumptions, and Examples
Regression analysis is a family of statistical methods used to estimate how an outcome variable is associated with one or more predictor variables. It can quantify relationships, test hypotheses, adjust for other variables, and predict future or unobserved outcomes.

How to Perform a Regression Analysis, Step by Step
A practical walkthrough of regression analysis, from choosing the right model and checking assumptions to interpreting results and reporting findings.

Linear regression | Definition, Formula, & Facts | Britannica
Linear regression, in statistics, a process for determining a line that best represents the general trend of a data set. The simplest form of linear regression involves two variables: y being the dependent variable and x being the independent variable.