Can you help me with the response to this question:
In Ordinary Least Squares (OLS) Regression we assume that the response variable is normally distributed with mean XB and variance sigma^2, i.e. Y ~ N(XB, sigma^2).
a. How do we estimate sigma^2?
b. What are two diagnostic checks of model goodness-of-fit that we perform in order to assess this distributional assumption?