Parallel lines on residual vs fitted plot
I'm regressing the time it took for an event to happen on another, normally-distributed predictor.
When I plot the fitted values against the residuals, the data line up in a series of parallel lines (with negative slopes).
The Q-Q plot is sigmoidal, but not too too bad.
Any suggestions for what I should do to my data?
Transform the response variable? Use a generalized linear model (glm) instead? If the latter, what family of error distribution should I use?
Many, many thanks!