Bivariate Analysis

Definition - What does Bivariate Analysis mean?

Bivariate Analysis is a statistical analysis of the relationship of two variables. The analysis of the two variables predicts the value of a dependent variable for a known value of the independent variable. Using bivariate analysis, we can test the hypothesis of association of two variables which tells us as to how well an independent variable relates to the dependent variable.

Petropedia explains Bivariate Analysis

In the testing of simple hypotheses of association, biraviate analysis can be very helpful. Usually it involves a quantitative analysis that is carried out so as to analyze the relationship between two variables, say X & Y, out of which one is an independent variable and the other one is dependent on the first variable. Using bivariate analysis one can analyze the relationship between the two variables and test the hypothesis of association of the two variables as to how well the two variables are related to each other. If the value of the independent variable, say X, is known then the value of the dependent variable Y can be predicted using bivariate analysis. Bivariate analysis can also be useful when predicting when a natural event might occur.

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