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statsandr.com
| | freerangestats.info

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).
3.4 parsecs

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| | aosmith.rbind.io

Where I discuss simulations, why I love them, and get started on a simulation series with a simple two-group linear model simulation.
2.9 parsecs

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| | entropicthoughts.com

[AI summary] The text explores various statistical concepts, including correlation, variance, and partial correlations, using examples like income and room count, word count predictions by AI models, and programming language commit sizes. It discusses methods for calculating and interpreting these correlations, as well as the importance of considering degrees of freedom in statistical analysis. The article also references historical statistical methods and emphasizes the value of multiple perspectives in understanding statistical relationships.
3.2 parsecs

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| | www.kuniga.me

NP-Incompleteness:
23.1 parsecs

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