I am using a Mac computer with JMP Pro 16.0.0
I have an experiment where I have tested three tool depths and three tool speeds in a full factorial design. My response variables are score categories for level of disturbance of artificial weeds. The categories are uprooted, disturbed, buried, partially disturbed, and undisturbed. I am using a multinomial logistic regression in JMP to analyze this data. My fit model is: Score Category as my response variable and I have Tool Depth, Speed, and Tool Depth*Speed as my fixed effects. I see that my likelihood ratio test is significant for both main effects and the interaction. My question is about understanding my Parameter Estimates output. I can calculate my Lin[uprooted], Lin[disturbed], etc. from the contingency table, but not from the parameter estimates.
I need to understand how to put my p-values into sentences from my parameter estimates table and how to calculate my log odds from the same table so I understand what the test is telling me. I have attached my dataset down below for more understanding.
