Two-Variable Statistics Methods

Definition

Two-variable statistics methods are techniques used to analyze the relationship between two variables in a data set. These methods help us understand how changes in one variable affect another.

Analogy

Think of two-variable statistics methods as a dance between two partners. Just like dancers move together and influence each other's movements, these methods show how two variables interact and impact each other.

Related terms

Scatterplot: A scatterplot is a graph that displays the relationship between two variables by plotting points on a coordinate plane.

Correlation Coefficient: The correlation coefficient measures the strength and direction of the linear relationship between two variables.

Regression Analysis: Regression analysis is a statistical method that helps us predict or estimate one variable based on another variable.