Hi all,
I have simple conceptual question:
In the simple linear regression problem, where the true relationship is,
y = ax + b + e
the error terms, e , are assumed to be normally distributed N(0,\sigma^2) .
However, linear regression only yields estimates \alpha \approx a and \beta...