A Independent variable is a variable used in supervised analysis in order to predict an outcome variable.
It's also known as:
- Input variable,
- Manipulated variable,
- Control variable
- Controlled variable
- Observed variable
- Explanatory variable
- Exposure variable
In statistics, a predictor is well known as an independent variable (IV). It does not depend of the experimentational procedure and is more generally:
- a description of the characteristics of a group.
- better known as the manipulation, the treatment or conditions.
A Quasi-independent variable is a variable that can not be random assigned (example: concussions, gender, Sexual orientation) .
Since the independent variable does not involve random and representative sampling, arguments about causality are not as strong
Some predictors are not quantitative but are qualitative, taking a discrete set of values.
These are also called:
- categorical predictors
- or factor variables.
- student (student status),
- status (marital status)