Multivariate analysis is a statistical technique that involves analyzing data sets with multiple variables. In multivariate analysis, the relationships between several dependent variables are examined simultaneously to identify patterns, correlations, and causal relationships among them.
Multivariate analysis can be used to explore relationships between different variables and identify the underlying factors that influence them. It is widely used in fields such as economics, psychology, sociology, marketing, and engineering, among others.
There are different types of multivariate analysis techniques, such as multivariate regression, principal component analysis, factor analysis, cluster analysis, and discriminant analysis. Each technique has its own strengths and weaknesses and can be applied to different types of data sets and research questions.