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$\begingroup$ +1, these are good points I didn't think of. For clarity, let me list some concrete examples where a researcher might want to combine explanatory variables prior to running a regression, & thus need to standardize. More @Wikipedia
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- How to choose a confidence level? - Cross ValidatedI often use a 90% confidence level, accepting that this has a greater degree of uncertainty than 95% or 99%. But are there any guidelines on how to choose the right confidence lev
- quantiles - How to obtain a confidence interval for a percentile ...Stack Exchange Network. Stack Exchange network consists of 183 Q&A communities including Stack Overflow, the largest, most trusted online community for developers to learn, share their knowledge, and build their careers.
- Assumptions of linear models and what to do if the residuals are not ...$\begingroup$ @Stefan Maybe, maybe not. If you transform your outcome, then your inferences based on the transformed relationships do not necessarily apply to the inverse transformations after you have performed your analysis; this is because $\text{Var}(f(x) \ne f(\text{Var}(x))$.
- Cross ValidatedStack Exchange Network. Stack Exchange network consists of 183 Q&A communities including Stack Overflow, the largest, most trusted online community for developers to learn, share their knowledge, and build their careers.
- When conducting multiple regression, when should you center your ...$\begingroup$ +1, these are good points I didn't think of. For clarity, let me list some concrete examples where a researcher might want to combine explanatory variables prior to running a regression, & thus need to standardize.
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