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).

In this post, you’ll learn how to interprete linear regression with an example, about the linear formula, how it finds the coefficient estimates, and its assumptions.

Jun 5, 2025 · But beyond the buzzwords, what exactly is linear regression, and why is it such a fundamental tool in data analysis? This article aims to provide a comprehensive understanding of …

Feb 19, 2020 · Your independent variable (income) and dependent variable (happiness) are both quantitative, so you can do a regression analysis to see if there is a linear relationship between them. …

Sep 28, 2024 · Learn simple linear regression. Master the model equation, understand key assumptions and diagnostics, and learn how to interpret the results effectively.

Dec 13, 2025 · 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 …

Linear regression analysis is the most widely used of all statistical techniques: it is the study of linear, additive relationships between variables.