In my regression, I have a predictor (measured in proportions) with very low variance (.002). It had no significant effect on the outcome due to a very high standard error of the regression coefficient.
When reporting on the effect in a paper, is it right to say there was no effect of my predictor in my study? Even though I know the lack of effect is most likely due to the low variance, and I add that thought in the paper? It feels like I might mislead the non-attentive readers, or I am reporting useless stuff.
Maybe it is best practice to discard this predictor from the model, and note in the paper that it was impossible to test this effect due to the data limitations?
And as extra I wanted to ask if it is possible to get a lower variance when taking the log of the values? I observed this with my variable.