# R: Plotting GLM residuals vs. linear predictor or response variable?

When assessing a GLM fit, why is it customary to plot residuals against the linear predictor rather than the response variable? I noticed that plot(glm) defaults to using the linear predictor values, but it isn't clear to me why this is the case.