# Linear Regression: Pros and cons of Normal vs. simplified methods?

I'm currently looking at a linear regression handout from Uni and there are two methods to calculate the equation. The Normal one is to find a and b for y=a+bx, the equations for a and b are given in the handout but I'll assume you're familiar with them. The simplified one is using

$y = Bx + (\overline{y} − B\overline{x}$)​

The two produce slightly different values and I assume the normal one is more precise than the simplified.

What I'd like to know is which one would be best to use when? Is the difference negligible?

Thanks, and sorry if I've posted this in the wrong forum.

$y = Bx + (y - Bx)$
$y = Bx + A$
$y = A + Bx$