Q-Q plot criteria relaxed for Regression with huge sample size?

In the realm of regression analysis, the Q-Q plot serves as a vital tool for assessing normality, particularly when dealing with large sample sizes. Recent discussions have highlighted the potential to relax traditional Q-Q plot criteria, allowing for a more flexible interpretation of data distribution. By embracing this approach, analysts can mitigate the challenges posed by vast datasets while still ensuring robust results. This shift invites researchers to explore innovative methodologies that enhance the reliability of their findings without sacrificing analytical rigor.