What is Bivariate Scatterplot?
Bivariate Data is simply data that has two variables, a dependent and an independent variable. Sometimes when we are given data, we find that there is a correlation between two variables, such as the score they achieve on a test and the amount of hours they spent studying.
Scatterplots are used to determine whether such a correlation exists by mapping out the points on the graph. In order to construct a bivariate scatterplot you need to:
- Draw a number plane
- Label your x-axis (horizontal) with the independent variable and draw an appropriate scale.
- Label your y-axis (vertical) with the dependent variable and draw an appropriate scale.
- Plot the data from your table onto the graph and see if there is a correlation between them!
How do you draw a Scatterplot?
The following video explains how to construct a bivariate scatterplot in more detail!
The following video provides an example of how to construct using a HSC example!
The following video explains the concept of dependent and independent variables further, however, takes a scientific approach. Nevertheless, they are the same by definition.