Scatter plots are a powerful way to visualize the relationship between two numerical variables. In policy evaluation, you often want to see if higher education attainment in a region is associated with higher employment rates. By plotting each region as a point with its education rate on the x-axis and its employment rate on the y-axis, you can visually assess whether there is a correlation—such as whether regions with more education tend to have higher employment.

When creating a scatter plot, it is important to clearly label each axis so that viewers understand what each point represents. The x-axis should indicate education attainment rate, while the y-axis should show employment rate. A descriptive title helps communicate the purpose of the visualization. Once the plot is created, you can interpret patterns: if the points trend upward from left to right, this suggests a positive correlation between education and employment—meaning higher education rates are associated with higher employment rates.