How do I interpret inverse prediction results of my binomial logistic regressionHi - I am trying to interpret the "inverse prediction" results of my binomial logistic regression.
Below are my results....as you can see, I selected three different probabilities to evaluate (50%, 80%, and 90%), all at a 95% confidence level. I am trying to determine how well this model predicts expected outcomes based on my observed data.
Thanks in advance!
AnalyticsRe: How do I interpret inverse prediction results of my binomial logistic regressionUnder the Help menu in JMP you will find the Documentation Library. Try searching there for 'Inverse Prediction'. You should find a section called 'Example of Inverse Prediction Using the Inverse Prediction Option', and the last paragraph gives an example of interpreting results very similar to yours.
Re: How do I interpret inverse prediction results of my binomial logistic regressionI am a bit confused by your question. I don't think inverse prediction is a way to see how well your model fits the data - there is information from the model fit results for that. If you are trying to interpret the inverse prediction, the narrow confidence intervals appear to me to say that your model provides fairly precise confidence intervals for the x variable related to those probabilities of Below 235. Since the x variable is a log, to interpret the actual confidence interval numerically would involve transforming those log values into values (through exponentiation). I would also be careful about the inverse predictions near the extremes of the graph - depending on your data, the probabilities you specified can easily involve unrealistic values for the x variable. For example, when I have highly imbalanced data (a small minority class to predict), high probabilities often are associated with negative values for the x variable (which is often impossible for the data I am working with).
