[theWold]

I came here to say that, but in a slightly different way:

True:

> no discussion of how one might interpret this model, what its assumptions are, and how to assess validity or fit?

Quoting OP from the comments in his blog:

> Hey Victor, thanks for reading! You’re absolutely right, I should have taken some time to talk about the assumptions of linear regression. I tried to mention them in passing, but I’ll try to be more explicit next time. I should have brought up the pearson correlation coefficient. I tried to write this from a more machine learning point of view, not as much statistics.

Either way it was a decently written post and would read more in the future (though I would like to see more statistics side of things rather than just me thinking Alex here is waving his hands saying 'you see nothing!' when we look at the mathematical assumptions / 'pure' statistics).

In other thoughts:

I'm currently in the process of writing a blog series on the analytics of Firearm projectiles (What ammo is most accurate from a Ruger American 308 Win.). Seeing other statistical posts like this help me figure out how to make mine better. So thanks Alex!

[folli]

would you mind sharing the blog post when you're finished? sounds very interesting!

[theWold]

Of course.

My biggest inspiration (other than taking a perfect shot at a whitetail deer and him just dropping dead) was a good PDF about shotGroups over on the CRAN[1]. It is a little dry and statistically heavy (meaning you need to have some statistical background to make sense of it), but well enough detailed for the info that triggered me to pursue this pet project.

I would love to write it at a level where if a person with no statistical background would be able to read through it and be able to understand it "enough". (Which requires a lot of rewriting on my part to make sure I'm also not boring a person with statistics background to death too explaining what Standard Deviation is :P)

[1] https://cran.r-project.org/web/packages/shotGroups/vignettes...