Explain univariate, bivariate and multivariate analysis

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Accepted Answer

Univariate analysis deals with one variable, bivariate analysis deals with two variables, and multivariate analysis deals with more than two variables.

Univariate analysis involves examining the distribution of a single variable, such as calculating mean, median, mode, and standard deviation.
Bivariate analysis involves examining the relationship between two variables, such as correlation and regression analysis.
Multivariate analysis involves examining the relationship between more than two variables, such as factor analysis and cluster analysis.
Univariate analysis is useful for understanding the distribution of a single variable, while bivariate and multivariate analysis are useful for understanding the relationship between variables.
For example, in a study of the relationship between age and income, univariate analysis would involve examining the distribution of age or income separately, while bivariate analysis would involve examining the relationship between age and income.
Multivariate analysis would involve examining the relationship between age, income, and other variables that may be relevant to the study.

Explain univariate, bivariate and multivariate analysis

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