wilslm

Assumptions of the linear regression model:

1. Relationship between X and Y is linear in the parameters b0 and b1

2. Independent variable x is not random

3. expected value of the error term is 0: E(e) = 0

4. Variance of the error term is the same for all observations

5. Error term is uncorrelated across observations

6. Error term is normally distributed


There are also 6 assumptions for multiple regressions but I think they are basically the same. I think as long as you get these you're good.

I guess I need to look at 2,3, and 4 from above. Don't know them too well