I have a model with one dependent variable and 7 independent variables. When the model is run without transformations, the Q-Q plot of the residuals appears normal as does the Shapiro Wilk Test.

Our main independent variable of interest however has a p-value of 0.056. The histogram of the independent variable is highly right skewed. When this predictor is log transformed it has a p-value of 0.000.

Is it acceptable to log transform an independent variable when the Q-Q plot of the residuals of the non-transformed model does not indicate problems with normality?

Our main independent variable of interest however has a p-value of 0.056. The histogram of the independent variable is highly right skewed. When this predictor is log transformed it has a p-value of 0.000.

Is it acceptable to log transform an independent variable when the Q-Q plot of the residuals of the non-transformed model does not indicate problems with normality?

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