Explanatory variable
An explanatory variable is the input thought to explain or predict changes in the response variable; it goes on the x-axis of a scatterplot.
The explanatory variable, also called the independent or predictor variable, is the one you treat as the cause or predictor in a relationship. It sits on the horizontal axis and supplies the values in a regression. For example, when studying how fertilizer amount affects plant height, fertilizer is the explanatory variable and height is the response. Labeling a variable explanatory reflects the question you are asking, and in an observational study it does not by itself prove that variable causes the response.
More variables and data types terms, or browse the full statistics glossary.