Bivariate is a term that is commonly used in statistics and mathematics. It is a term that is used to describe a relationship between two variables. In this article, we will explore the meaning of bivariate, its origin, associations, synonyms, antonyms, and examples of its usage.
Definitions
Bivariate is defined as a statistical analysis that involves two variables. It is used to determine the relationship between two variables, such as the correlation between height and weight. Bivariate analysis is a common technique used in research studies to explore the relationship between two variables.
Origin
The term bivariate comes from the Latin word “bi,” which means two, and “variate,” which means variable. The term was first used in the field of statistics in the early 20th century.
Meaning in different dictionaries
According to the Merriam-Webster dictionary, bivariate is defined as “involving or depending on two variables.” The Oxford English Dictionary defines bivariate as “relating to or involving two variables.”
Associations
Bivariate analysis is commonly used in research studies to explore the relationship between two variables. It is used in fields such as economics, sociology, psychology, and medicine. Bivariate analysis is also used in data visualization techniques such as scatter plots and line graphs.
Synonyms
Synonyms of bivariate include two-variable, double-variable, and dual-variable.
Antonyms
Antonyms of bivariate include univariate, which refers to the analysis of a single variable.
The same root words
The same root words as bivariate include univariate, which refers to the analysis of a single variable, and multivariate, which refers to the analysis of multiple variables.
Example Sentences
- The bivariate analysis showed a strong correlation between income and education level.
- The researcher used a bivariate scatter plot to visualize the relationship between age and blood pressure.
- The study used a bivariate regression analysis to determine the impact of advertising on sales.