Research Topics:

Data Analysis | Statistical Analysis

Content Type:

Glossary

Bivariate Techniques Definition

Statistical methods of analyzing the relationship between two variables.

Bivariate techniques analyze the relationship between two variables. These statistical methods often are the first step in exploring datasets and assisting in understanding how changes in one variable correlate with changes in another. What’s more, they serve as stepping stones for more complex analyses while helping to draw conclusions from data. Techniques relied upon include correlation analysis, scatter plots and t-tests.

Who relies on bivariate techniques?

Researchers, analysts and scientists in fields like marketing research, social sciences, economics, biology and psychology use bivariate techniques to uncover connections between two variables.

Why should I care about bivariate techniques?

The insights into cause-and-effect relationships and patterns between two variables uncovered by bivariate techniques provide background for making informed decisions, identifying trends and predicting outcomes.