Please note that the content of this book primarily consists of articles available from Wikipedia or other free sources online. Bivariate analysis is one of the simplest forms of the quantitative (statistical) analysis. It involves the analysis of two variables (often denoted as X, Y), for the purpose of determining the empirical relationship between them. In order to see if the variables are related to one another, it is common to measure how those two variables simultaneously change together. Bivariate analysis can be helpful in testing simple hypotheses of association and causality – checking to what extent it becomes easier to know and predict a value for the dependent variable if we know a case's value on the independent variable. Bivariate analysis can be contrasted with univariate analysis in which only one variable is analysed. Common forms of bivariate analysis involve creating a percentage table, a scatterplot graph, or computation of a simple correlation coefficient.

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