Data are plotted on line graphs according to:

Line graphs are a fundamental tool in Applied Behavior Analysis for visually representing quantitative data over time. The correct approach to plotting data on line graphs is based on the number of instances of the behavior measured at various points in time. This method allows practitioners to observe trends, patterns, and relationships in behavior as they occur throughout a specified timeframe.

When measuring the number of instances of a behavior, you can effectively demonstrate how that behavior fluctuates, increases, or decreases. This is crucial for evaluating the effectiveness of interventions and making data-driven decisions. By plotting these data points chronologically, practitioners can visualize changes in the frequency of behaviors over time, making it easier to assess progress and identify potential adjustments needed in the treatment strategy.

The other options, while related to behavior tracking, do not capture the primary focus of line graphs as effectively. Cumulative data may be useful in certain contexts but tends to mask individual behavior occurrences. Averages may provide some insight but fail to illustrate the actual occurrence of behaviors over time. Intensity tracking is relevant in specific cases but does not encompass the broader behavior frequency tracking that line graphs aim to convey.