# Bivariate Data Definition

In **Mathematics** and **Statistics**, multiple related quantities are compared in different forms of **data**. A specific type of data representation in which **two variables** are compared is called **Bivariate Data**. The two variables must be **related** to each other.

**Note:**

Read about Variables here.

**Table of Contents**

The word **Bivariate** has been derived from two words, **“Bi”** which means **two**, and “**Variation**” which means **change** or **difference**. So, we can say that **Bivariate Data** represents how **two quantities** are **changing** with respect to each other.

## What is the significance of Bivariate Data?

This type of data is used widely in different problems of **Statistics** and **Mathematics**. It is mainly used to **generate relationships** between two quantities. When we have shown two quantities on a **single graph**, we can estimate how **those values are changing**.

**For instance**, if two quantities are **directly proportional** to each other, the graph will move **upward** or **downward** at the **same point**.

**Note:**

Read about **Direct Proportion** in detail.

### FAQ's

**What is bivariate data?**

It is a representation of data by combining two variables or quantities that are changing relatively.

**How to identify if the chart is representing bivariate data?**

If a chart is showing only two lines or points at the same location, it means that the chart is of bivariate data.

**What does it mean if both quantities are showing opposite lines on the same graph?**

It means that both quantities are inversely related to each other.