# decreasing trend in residual plot for linear regression

I am fitting a linear model with one dependent variable and 5 independent variables. All variables are continuous. The residual plot (plot of residuals vs. predicted values) appears to have a decreasing trend. See the plot attached. Someone told me this means a non-linear relationship between the DV and the IVs. But I thought only a when a curvilinear relationship between the predicted values and the residuals implies a non-linear relationship between the DV and the IVs.

Anyway, can someone tell me if the residual plot indicates any violation of the assumptions of the linear regression (independence, linearity, normality, and homogeneous variance)? And, it does, how to fix the problems? Thanks. • These residuals do hint at the fact that the dependent variable is not continuous but discrete. Each "line" in the plot corresponding to one value of the dependent variable. See here, for example. May 21, 2017 at 8:17
• As well as the link given by @COOLSerdash you might also look at stats.stackexchange.com/questions/132686/… May 21, 2017 at 11:27