In statistics, linear regression is a model that estimates the relationship between a scalar response (dependent variable) and one or more explanatory variables (regressor or independent variable).

Linear regression models the relationships between at least one explanatory variable and an outcome variable. This flexible analysis allows you to separate the effects of complicated research questions, …

Jun 5, 2025 · What is Linear Regression? Linear regression is a statistical method used to model the relationship between a dependent variable (also known as the response variable or outcome …

Nov 22, 2025 · Linear regression is a type of supervised machine-learning algorithm that learns from the labelled datasets and maps the data points with most optimized linear functions which can be used …

What Is a Linear Regression Model? A linear regression model describes the relationship between a dependent variable, y, and one or more independent variables, X. The dependent variable is also …

4 days ago · 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 …

This form of analysis estimates the coefficients of the linear equation, involving one or more independent variables that best predict the value of the dependent variable. Linear regression fits a straight line or …

Oct 13, 2025 · Linear regression is a specific type of regression analysis that you use when you expect a clear, straight-line relationship between your independent and dependent variables.

In its simplest form, regression is a type of model that uses one or more variables to estimate the actual values of another. There are plenty of different kinds of regression models, including the most …

Jun 13, 2025 · Linear Regression is a fundamental statistical method used to define linear relationship between a dependent and one or more independent variables. It helps predict outcomes by fitting a …