I set up different models: always same dependent variable and dataset, only the independent variable changes. All model assumptions are fullfilled.

Now i do a model selection with the AIC. I look at the model with an independent variable without and with a log transformation. The model with the log transformed dependend variable *a* has a lower AIC.
Then i look at variable *b* and here the untransformed variable has a lower AIC.
In total i look at 14 independend variables and the log transformation shows lower AIC for 6 of them.

My question is if i should use only log transformed or only not transformed data or just decide it for each variable after looking at the AIC?

- Serverfault Help
- Superuser Help
- Ubuntu Help
- Webapps Help
- Webmasters Help
- Programmers Help
- Dba Help
- Drupal Help
- Wordpress Help
- Magento Help
- Joomla Help
- Android Help
- Apple Help
- Game Help
- Gaming Help
- Blender Help
- Ux Help
- Cooking Help
- Photo Help
- Stats Help
- Math Help
- Diy Help
- Gis Help
- Tex Help
- Meta Help
- Electronics Help
- Stackoverflow Help
- Bitcoin Help
- Ethereum Help