Detects any PROGRESSIVE DRIFT of values to one side of the average value for at least 3 days.

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Multiple Choice

Detects any PROGRESSIVE DRIFT of values to one side of the average value for at least 3 days.

In time-series data, a trend is a gradual, sustained movement of values in one direction over time. Detecting a progressive drift of values to one side of the average for at least a few days fits this idea: the measurements are consistently shifting in a single direction rather than fluctuating around the mean. This matters because dispersion would mean values spread more around the average without a directional drift, and a shift implies a relatively abrupt change in the mean that then stays at a new level rather than continuing to move in one direction over several days. The description of a multi-day, unidirectional drift points to a trend, indicating a persistent change in the process or measurement over time.

In time-series data, a trend is a gradual, sustained movement of values in one direction over time. Detecting a progressive drift of values to one side of the average for at least a few days fits this idea: the measurements are consistently shifting in a single direction rather than fluctuating around the mean.

This matters because dispersion would mean values spread more around the average without a directional drift, and a shift implies a relatively abrupt change in the mean that then stays at a new level rather than continuing to move in one direction over several days. The description of a multi-day, unidirectional drift points to a trend, indicating a persistent change in the process or measurement over time.

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