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.


Read about Variables here.

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.


Read about Direct Proportion in detail.


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.

Related Definitions

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