How to go about interpreting regression cofficients
[This article was first published on R on Locke Data Blog, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.
Following my post about logistic regressions, Ryan got in touch about one bit of building logistic regressions models that I didn’t cover in much detail – interpreting regression coefficients. This post will hopefully help Ryan (and others) out.
This was so helpful. Thank you! I’d love to see more about interpreting the glm coefficients. — Ryan (@RyanEs) April 21, 2017 What is a coefficient? Coefficients are what a line of best fit model produces.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.
To leave a comment for the author, please follow the link and comment on their blog: R on Locke Data Blog.
R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.