I wonder if it is allowed to log a variable which is already logged (transformed). When I do this, the skewness of my model goes to 0.05 which is quite good. Let me know! Thanks in advance :)
Transforming the predictor variables (independent variables) to achieve a particular distribution does not make sense. We don't need particular distributions of the predictors to do regression. When we make a normality assumption, it is about the error term, not the predictors.
There might be cases where theory says that a transformed predictor variable makes more sense. There might be cases where you determine that a transformed variable results in a model with stronger performance.
But transforming the variable just because you want something that isn't skewed? I'll pass.