I'm trying to use a residual plot in order to get a better understanding of my dataset and what I should be doing.
My data is a series of scored labels with a bunch of distance features used to predict them. I'm hoping to use linear regression.
When I generated my residual plot I ended up with the following unusual graph which I haven't seen before.
In my limited knowledge I'm aware that ideally a Residual plot should contain a cluster of points with a mean of 0. In a bad case scenario the plot is non random, most examples indicate a spiked residual error value at a given predicted value.
My graph however looks nothing like examples I have seen and I'm not certain how to interpret it. Could is perhaps be that my dataset is not suited for a regression model? What does the residual plot indicate about my data?
Additonal Information that may be useful:
r2 value: 0.32812704493994505