Multivariate analysis
Multivariate Analysis
Multivariate analysis (pronunciation: /ˌmʌltɪvəˈreɪtɪv əˈnælɪsɪs/) is a statistical technique used to analyze data that arises from more than one variable. This process allows the simultaneous analysis of two or more statistical variables with the aim of determining the relationship between them.
Etymology
The term "multivariate" comes from the Latin words "multi", meaning "many", and "variare", meaning "to change". The term "analysis" comes from the Greek word "analusis", meaning "a breaking up".
Related Terms
- Univariate Analysis: A type of analysis where only one variable is involved. It is the simplest form of statistical analysis.
- Bivariate Analysis: A type of analysis that involves two different variables. It is used to find out if there is a relationship between the two variables.
- Factor Analysis: A statistical method used to describe variability among observed, correlated variables in terms of a potentially lower number of unobserved variables called factors.
- Cluster Analysis: A statistical technique that involves classifying objects into groups (called clusters) so that objects from the same cluster are more similar to each other than those from different clusters.
- Regression Analysis: A set of statistical processes for estimating the relationships among variables.
See Also
External links
- Medical encyclopedia article on Multivariate analysis
- Wikipedia's article - Multivariate analysis
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