**r**=

**y**-

**XB**hat under

normal regression model assumptions.*

* I think this means to assume errors are indepedent, have mean 0 and variance sigma squared, are are normally distributed.

Please help! Are residuals not just realizations of the errors and have no variance as they are constants?