What does extrapolation of a regression line aim to prevent?

Extrapolation of a regression line primarily aims to prevent workload obsolescence. This is because extrapolation is used to predict future values based on existing data trends, allowing organizations to anticipate changes in workload demands and resource requirements. By employing extrapolation, businesses can effectively plan for future needs and avoid situations where the skills or labor force become outdated or irrelevant, thereby maintaining productivity and efficiency. Understanding these trends is essential for workforce planning and ensures that the organization can adapt to changing circumstances in a timely manner.