Use scatter plots to visualize the relationship between two numeric variables, where one variable is displayed on the x-axis, and the other variable is displayed on the y-axis. For each record, a point is plotted where the two variables intersect in the chart. When the resulting points form a nonrandom structure, a relationship exists between the two variables.
Scatter plots are made up of two Numbers, one for the x-axis and one for the y-axis.
A regression equation is calculated and the associated trend line and R2 are plotted on scatter plots. The trend line models the linear relationship between x and y, and the R2 quantifies how well the data fits the model. This is only relevant for linear relationships. To turn off the trend line, click the item in the legend.Learn more about regression analysis
When small x values correspond to small y values, and large x values correspond to large y values (line sloping up), this indicates a positive correlation. When small x values correspond to large y values, and large x values correspond to small y values (line sloping down), this indicates a negative correlation.
Titles and description
Charts and axes are given default titles based on the variable names and chart type. These can be edited on the General tab in the Chart pane. You can also provide a chart Description, which is a block of text that appears at the bottom of the chart window.
Scatter plots inherit their outline and fill colors from the source layer symbology. By symbolizing a layer with a different attribute than either of the scatter plot variables, a third variable can be shown on the scatter plot visualization.
Create a scatter plot to visualize the relationship between diabetes and hypertension among Medicare beneficiaries. Select features in the chart to see where they fall on the map.
- X-Axis— Diabetes rate
- Y-Axis— Hypertension rate