What defines multi-point regression testing in air flow measurement?

Multi-point regression testing in air flow measurement involves taking measurements at various pressure points and then fitting a regression line to this collected data. This method provides a more comprehensive understanding of how air flow behaves across different conditions, rather than relying on a single measurement or pressure point.

The advantage of this approach lies in its ability to account for the non-linear behavior commonly found in airflow through building envelopes. By analyzing data from multiple pressure points, the regression model can capture the relationship between pressure changes and airflow, allowing for more accurate predictions and assessments of airtightness.

Relying on measurements at only a single pressure point does not account for variations that may occur at different pressures, which can lead to incomplete information about a building's airtightness. Similarly, using just one measurement disregards the complexities of air flow behavior and fails to create a reliable model for assessing overall performance. Measuring only at high pressures neglects the range of conditions that buildings may experience and does not provide a full picture of air infiltration or exfiltration dynamics.