Please give me some advice.
The problem is that both of these models outputs are in lognormal scale. As much as I understand, these plots shows a relationship between the predictor b-coefficient (x-axis) on the outcome variable (y-axis). Intercept is not included in this plot.
The problem is that readers won't understand much if the y-axis is on log-scale. What tricks and techniques or bypasses can be used to turn it into an understandable scale (e.g. original scale, OR, probability etc)?