# What is bivariate analysis in statistics?

Asked By: Ayad Caballol | Last Updated: 7th June, 2020

Category:
science
physics

**Bivariate analysis**is one of the simplest forms of quantitative (

**statistical**)

**analysis**. It involves the

**analysis**of two variables (often denoted as X, Y), for the purpose of determining the empirical relationship between them. Like univariate

**analysis**,

**bivariate analysis**can be descriptive or inferential.

Beside this, what is bivariate analysis examples?

**Bivariate** data could also be two sets of items that are dependent on each other. For **example**: Ice cream sales compared to the temperature that day. Traffic accidents along with the weather on a particular day.

Similarly, how many types of bivariate correlations are there? three types

Also asked, how would you describe bivariate data?

**How to describe bivariate data**

- Describes how the outcome variable changes when the independent or explanatory variable changes.
- Logic dependence: there is a cause and effect relationship between two or more variables;
- Logic independence: there isn't any cause and effect relationship between the variables that are considered.

What is bivariate and multivariate analysis?

**Bivariate analysis** looks at two paired data sets, studying whether a relationship exists between them. **Multivariate analysis** uses two or more variables and analyzes which, if any, are correlated with a specific outcome. The goal in the latter case is to determine which variables influence or cause the outcome.