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codeandculture.wordpress.com
| | juliasilge.com
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| | A data science blog
| | svmiller.com
2.8 parsecs away

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| | I believe that the ability to read a regression table is an important task for undergraduate students in political science. I offer an explanation of the regression table in this post.
| | www.seascapemodels.org
2.4 parsecs away

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| | [AI summary] A technical blog post explains how to interpret the Akaike Information Criterion (AIC) by deriving the statistics in R, comparing model likelihoods, and selecting the most parsimonious hypothesis.
| | freerangestats.info
25.6 parsecs away

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| Stepwise variable selection is bad and dangerous, and you shouldn't do it. It increases false positives. It drops variables that should be in the model. It gives biased estimates for regression coefficients. The problems are worse for smaller samples; higher correlation between the X variables; and models with weaker explanatory power for the y (i.e. lower R-squared).