Linear regression is a powerful and long-established statistical tool that is commonly used across applied sciences, economics and many other fields. Linear regression considers the relationship ...

The simplest form of regression in Python is, well, simple linear regression. With simple linear regression, you're trying to ...

It is one way to use independent variables to predict dependent variables, and, in its simplest form, it is based on nothing more than a straight line. You might remember from school that a ...

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 ...

Linear forecasting models can be used in both types of forecasting methods. In the case of causal methods, the causal model may consist of a linear regression with several explanatory variables.

Orthogonal regression is one of the standard linear regression methods to correct for the effects of measurement error in predictors. We argue that orthogonal regression is often misused in ...

The developments in linear regression methodology that have taken place during the 25-year history of Technometrics are summarized. Major topics covered are variable selection, biased estimation, ...

One can see that nonparametric regressions outperform parametric regressions in fitting the relationship between the two variables and the simple linear regression is the worst.