A possible graph to represent the revenue earned for selling x slices of pizza could be a scatterplot.
On the x-axis, you would have the number of slices of pizza sold (x), ranging from 0 to a specific maximum number of slices that can be sold. On the y-axis, you would have the revenue earned, ranging from 0 to a specific maximum revenue.
Each data point on the graph would represent a specific number of slices sold (x) and the corresponding revenue earned. For example, if selling 10 slices of pizza earned $40, there would be a data point at (10, $40) on the graph.
By connecting all the data points together, you would create a scatterplot that demonstrates the relationship between the number of slices of pizza sold and the revenue earned. This graph would likely show a positive correlation, indicating that as the number of slices of pizza sold increases, the revenue earned also increases.
The marketing club tracks revenue earned from concession sales at their high school basketball games. Concession sales for 647 slices of pizza was $2,588 this past season. What would a graph look like to represent the revenue earned for selling x slices of pizza.
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