Okay, so it's a common problem: given a set of measurments (in my case velocity and absolute magnitude) that each has a different error (different sources) i would like to find a linear regression to fit the data.
The final equation must have a separate error term and the reqgression fits must reflect this as well.
y=mx + c±error.
The question, then, is how do I do this in any of the available programs (hopefully MINITAB) ? I have scoured the internet for a solution but to no avail. I really need someone that has done this to help.
BTW, this is part of a project in an astronomy class relating logarithms of rotational velocities to the absolute magnitude (Tully-Fisher).