# Category:Regression

(Redirected from Regression)

Regression quantifies the relationship between an outcome variable and one or more predictor variables. It is primarily used to understand causal relationships. For example, how will sales increase if price is dropped by $1? How is life expectancy changed by consumption of a new drug?

The above definition is very broad and encapsulates much of machine learning. However, most of the time when people refer to *regression* they are referring to Linear Regression.

## Creating regression models in Displayr

Various models are available via **Anything > Advanced Analysis > Regression**.

## Alternative meanings of "regression" in data science

There are two other meanings of *regression* within data science:

*Regression tests*and*regression testing*refers to the process of ensuring that software gives consistent results over time. This is the main usage of*regression*within software engineering.*Regression*can refer to the tendency of data or behaviors to revert over time to some typical or base level (e.g.,*regression to the mean*).

## Pages in category ‘Regression’

The following 20 pages are in this category, out of 20 total.