regression residuals vs SSE

Is there a difference between the two? Are they the same? Thanks in advance

I think they’re the same, assuming the residual isn’t the mean. SSE is basically the sum of the residuals squared.

Here’s how I try to remember it:

Yi-Yhat = SSE=“unexplained variation”

Yhat-Ybar =“explained variation”

Yi-Ybar=“total variation”

Thanks, appreciate the note

What semantics defined is the E part of the SSE. To get to SSE, you have to square the errors and then add them up :wink:

good explanation semantics, just got to that section myself

but of course CMLSML… :stuck_out_tongue: