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.

Nov 22, 2025 · The goal of linear regression is to find a straight line that minimizes the error (the difference) between the observed data points and the predicted values. This line helps us predict the …

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 …

Oct 31, 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 …

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

Feb 19, 2020 · Simple linear regression is a model that describes the relationship between one dependent and one independent variable using a straight line.