![]() Scatter plot points can be visualized using a single color or with the colors specified in the layer's style. ![]() Sizing scatter plot points proportionally based on a third numeric variable adds another dimension to the visualization. Scatter plot points can be fixed in size or sized proportionally by a numeric attribute. You can change the size and color of the symbols on a scatter plot. It is important to note that x being correlated To small y-values (line sloping downward), this indicates a negative When small x-values correspond to large y-values, and large x-values correspond ![]() When small x-values correspond to small y-values, and large x-values correspond to large y-values (line sloping upward), this indicates a positive correlation. To change the color of the trend line, click the color swatch for the Trend line style parameter and choose a new color. The Show linear trend parameter is used to display and remove the trend line from the scatter plot. These statistics are only relevant for linear relationships. The trend line models the linear relationship between x and y, and the R² value quantifies how well the data fits the model. StatisticsĪ regression equation is calculated and the associated trend line and R² value can be plotted on the scatter plot. Scatter plots are composed of two number variables: X-axis number and Y-axis number. The Data tab configurations include the variables that are used to create a scatter plot, the statistics displayed on the chart, and symbol configurations. The scatter plot below visualizes the relationship between voter turnout in the 2016 United States election and the 2019 per capita income.Īn optional third numeric variable sizes the points proportionally to show total votes. This is sometimes referred to as a bubble plot. Optionally, a third numeric variable can be specified to proportionally size each point in the plot. When the resulting points form a nonrandom structure, a relationship exists between the two variables. For each record, a point is plotted where the two variables intersect on the chart. Scatter plots visualize the relationship between two numeric variables in which one variable is displayed on the x-axis, and the other variable is displayed on the y-axis.
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