Assumptions of the Linear Model

October 6, 2011
By

(This article was first published on Daniel Hocking, Ecologist » Blog, and kindly contributed to R-bloggers)

Linear Assumptions from the Analysis Factor – Assumptions of linear regression (and ANOVA) are about the residuals, not the normality or independence of the response variable (Y). If you don’t know what this means be sure to read this brief blog article.


Tagged: Analysis Factor, assumptions, diagnostic, linear models, residuals

To leave a comment for the author, please follow the link and comment on his blog: Daniel Hocking, Ecologist » Blog.

R-bloggers.com offers daily e-mail updates about R news and tutorials on topics such as: visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series, trading) and more...



If you got this far, why not subscribe for updates from the site? Choose your flavor: e-mail, twitter, RSS, or facebook...

Tags: , , , ,

Comments are closed.