predicts a probability range from 0.3 to 0.6 - the lowest to highest average Income doubles the probability of joining - which seems like quite large effect size. (a) Relate the information that is shown on the plot to the fact that the significance (p-value) of AvelncEA in the regression output is merely marginal, even though the effect size is quite large; (b) Rerun the plot(allEffects. . . )without the type = "response" argument. This plots the linear predictor portion of the logit function only, that is, without the inverse link applied to the linear predictor. (Or, alternatively, with the link applied to the response). Which version would you prefer to show and explain to management, and why