Instructions: Create a scatter plot using the form below. All you have to do is type your X and Y data. Optionally, you can add a title a name to the axes.
More about scatterplots: Scatterplots are bivariate graphical devices. The term “bivariate” means that it is constructed to analyze the type of association between to two interval variables \(X\) and \(Y\). The data need to come in the form of ordered pairs \((X_i, Y_i)\), and those pairs are plotted in a set of cartesian axes.
Typically, a scatterplot is used to assess whether or not the variables \(X\) and \(Y\) have a linear association, but there could be other types of non-linear associations (quadratic, exponential, etc.). The existence of a linear association is assess by establishing how tightly the data are around a straight line. Data pairs \((X_i, Y_i)\) that are loosely clustered around a straight line have a weak or non-existing linear association, whereas data pairs \((X_i, Y_i)\) that are tightly clustered around a straight line have a strong linear association.
A numerical (quantitative) way of assessing the degree of linear association for a set of data pairs is by calculating the correlation coefficient.