Regression dilution is a strategy that can be used to reduce the impact of regression, which is when something has more of an effect as time passes. With regression dilution, you take steps to reduce the effect of the regression over time. This could include things like adding more data or changing the equation being used to calculate the impact. By using regression dilution, the effect of the regression can be reduced so that it has less of an impact on the results over time.