For information about data considerations, examples, and interpretation, go to Overview for Bubble Plot.
You can graph the x and y-variables as individual pairs or you can graph every combination of the x-y variables. The y-variable is the variable that you want to explain or predict. The x-variable is a corresponding variable that might explain or predict changes in the y-variable. All columns must be numeric and must have the same number of rows.
First, choose one of the following options.
Then, enter the variables.
Enter a column that determines the size (area) of the bubbles.
Choose a layout option.
Enter a variable that defines the groups. Group labels are shown in the graph legend.
When you enter multiple By variables, Minitab enables the Show all combinations checkbox. Select this option to create a separate bubble plot for each combination of groups created by the By variables. If you do not select this option, Minitab creates a plot for each group of each By variable.
For example, the first By variable has 2 groups, Male and Female, and the second By variable has 2 groups, Employed and Unemployed. If you select Show all combinations, Minitab creates 4 separate plots for the combinations of Male/Employed, Male/Unemployed, Female/Employed, and Female/Unemployed. If you do not select Show all combinations, Minitab creates 4 separate plots for Male, Female, Employed, and Unemployed.
Use the same scale across multiple graphs. These options are available only when you enter more than one pair of columns in X variables and Y variables and the layout is set to display separate graphs for each XY pair.
A logarithmic scale linearizes logarithmic relationships by changing the axis, so that the same distance represents different changes in value across the scale. For example, in the bubble plot with the untransformed x-scale, the function y = log(x) is not linear. When you transform the x-scale to logarithm base 10, the form of the data is linear. These options are only available for positive data.