Explanatory variable

Definition

An explanatory variable is a type of independent variable used to explain variations in a dependent variable. It is often denoted as the 'X' variable in statistical analyses and studies.

5 Must Know Facts For Your Next Test

1. The explanatory variable is also known as the predictor or independent variable.
2. In scatter plots, the explanatory variable is typically plotted on the horizontal (X) axis.
3. It helps determine if there is a correlation or relationship with the response (dependent) variable.
4. A significant change in the explanatory variable can lead to changes in the dependent variable.
5. In regression analysis, it is used to predict values of the dependent variable.

Review Questions

• What axis does the explanatory variable usually occupy in a scatter plot?
• How does an explanatory variable differ from a dependent variable?
• Why is an explanatory variable important in regression analysis?

Related terms

Dependent Variable: The outcome or response that researchers are trying to explain or predict using one or more explanatory variables.

Correlation: A measure that describes the strength and direction of a relationship between two variables, often represented by 'r'.

Regression Line: A line through a scatter plot that best expresses the relationship between an explanatory and dependent variable.