I'm working on building a regression model for a large set of data (n>54000). Clearly a ton of assumptions are being violated that I have to try and adjust for. I'm all for transformations of data and have looked into robust regressions, but I'm completely clueless as to how I would adjust for a residual plot that looks like this:
Any suggestions on how this could be handled?