Which of the following statements is true regarding the correlation of radar data?

The statement regarding the correlation of radar data that is true is that it compares predicted and actual radar returns. In air traffic control, radar data correlation is a critical process that involves assessing how well the actual radar returns reflect the expected trajectory of aircraft based on their flight plans, altitude assignments, and any pertinent flight updates. By comparing these predictions to actual radar data, controllers can evaluate the accuracy of the displayed information, monitor aircraft movements effectively, and ensure safety in airspace management.

The focus on comparing predicted and actual returns allows controllers to detect discrepancies, such as deviations in altitude or unexpected turns, which may indicate a need for further communication with the pilot or adjustments in the control strategy. This correlation process enhances situational awareness and overall air traffic safety by facilitating timely decision-making based on real-time data.

Other options do not accurately describe the process of radar data correlation. For example, associating the process with a specific time interval, like every ten minutes, is not a standard requirement, nor does the process only account for previously assigned altitudes or involve multiple flight plans in a manner that is central to its function. The essence of radar data correlation lies in the comparison between what is predicted and what is actually observed on the radar.