Simple linear regression is commonly used in forecasting and financial analysis—for a company to tell how a change in the GDP could affect sales, for example. Microsoft Excel and other software ...

Learn the difference between linear regression and multiple regression and how investors can use these types of statistical analysis.

Discover how linear regression works, from simple to multiple linear regression, with step-by-step examples, graphs and real-world applications.

The most basic regression relationship is a simple linear regression. In this case, E (Y | X) = μ (X) = β0 + β1X, a line with intercept β0 and slope β1. We can interpret this as Y having a ...

Multiple Linear Regression In linear regression, when there's just a single independent variable, the analysis is sometimes called simple linear regression to distinguish the analysis from situations ...

When teaching cost behavior in a managerial or cost accounting course, we explain that there are various methods a company can use to estimate its fixed and variable costs, including regression ...

Naive Bayes regression is essentially a variation of basic linear regression. In simple linear regression, there is a single predictor variable x, and a single target variable y to predict. For ...

When multiple variables are associated with a response, the interpretation of a prediction equation is seldom simple.