Catherine Bueker writes:

I [Bueker] am analyzing the effect of various contextual factors on the voter turnout of naturalized Latino citizens. I have included the natural log of the number of Spanish Language ads run in each state during the election cycle to predict voter turnout. I now want to calculate the predicted probabilities of turnout for those in states with 0 ads, 500 ads, 1000 ads, etc. The problem is that I do not know how to handle the beta coefficient of the LN(Spanish language ads). Is there someway to “unlog” the coefficient?

My reply: Calculate these probabilities for specific values of predictors, then graph the predictions of interest. Also, you can average over the other inputs in your model to get summaries. See this article with Pardoe for further discussion.