As its name suggests, this is the analysis of more than one (that is, exactly two) type of variable. Bivariate analysis is used to find out whether there is a relationship between two different variables. When we create a scatter plot by plotting one variable against another on a Cartesian plane (think of the x and y axes), it gives us a picture of what the data is trying to tell us. If the data points seem to fit the line or curve, then there is a relationship or correlation between the two variables. Generally, bivariate analysis helps us to predict a value for one variable (that is, a dependent variable) if we are aware of the value of the independent variable.
Here's a diagram showing a scatter plot of ...
