I didn't understand the part when we interpret the factor Medium. You said we go from High to Medium. Is that really the case when the output shows Medium? That must mean than High is the reference category. It shows when we go from medium to high.
GREAT TUTORIAL! THANK YOU! In "value order" ("user specified order") -> do we need to adjust the order for the preditors too ? (you did it for the response variable, but someone may have categorical predictors that have higher/lower levels)
Hi, great question, you don't need to as each of the levels of the categorical variable will be shown against the reference level. You can change that if you want.
@@rmksixsigma756 I'm guessing what the honorable gentleman is meaning. In stata you have parallel lines assumtion test which is basically a test for the proportional odds assumtpion.
This was extremely beneficial. Im glad I watched this video
Thanks for the feedback
Extremely helpful, cheers
You are welcome.
thank you. very usefull
This was so helpful, thank you
Thanks, I appreciate your comment.
I didn't understand the part when we interpret the factor Medium. You said we go from High to Medium. Is that really the case when the output shows Medium? That must mean than High is the reference category. It shows when we go from medium to high.
Thanks a lot, it helped
This was fantastic thank you so much!
Can you do the scatter plots without a continuous variable. If you just have a Categorical Data in minitab?
If you had counts of categorical data then you could. But would that give you what you want?
GREAT TUTORIAL! THANK YOU! In "value order" ("user specified order") -> do we need to adjust the order for the preditors too ? (you did it for the response variable, but someone may have categorical predictors that have higher/lower levels)
Hi, great question, you don't need to as each of the levels of the categorical variable will be shown against the reference level. You can change that if you want.
Thank you
In Odds Ratio of GDP medium divided by high the result was 0.19. Conversely, why is High divided Medium x5? (this was your comment on minute 10:27)
Hi Marcelo, approx 5, it's the reciprocal of 0.19.
thank you very much. I´ll do some home work on that. happy new year
for the P value , do you look at the Const (1) and Const (2) or only the P values for the variable names (below)?
I don't think the P-value of the constant has any real value for this regression equation.
Hi! really great tutorial! I was wondering though how can I test the assumption that my independent variables have proportional odds? Thanks a lot!
Hi Laura, Thanks for the feedback. Could you kindly give me a bit more detail on your question? Thanks.
If I only have categorical variables, how can I see the assumption of parallel lines? or is it not necessary to do so?
I am not sure what you mean, could you kindly elaborate on parallel lines?
@@rmksixsigma756 I'm guessing what the honorable gentleman is meaning. In stata you have parallel lines assumtion test which is basically a test for the proportional odds assumtpion.
@@vidbot4037 Thank you for clarifying.
Exquisite, sir. Do you have any online courses? prerecorded or live
Thank you for the feedback, Online video courses will probably (IA) be my next project.