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Little's Law is a mathematical formula used in queueing theory and Kanban to relate the average number of items in a system (Work in Progress), the average completion rate (Throughput), and the average time an item spends in the system (Cycle Time). In the context of Scrum Teams using Kanban, Little's Law can be used to forecast a team's output by understanding the relationship between these variables( Thus, it is True that Little's Law can be used to forecast a Scrum Team's output, assuming that the underlying assumptions of Little's Law (such as a stable system and consistent flow) are met.