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Thank you so much🤩! I first created dummies, and I am wondering if you know why the output that I got has, e.g., [engineering=0] and [engineering=1]? If someone knows, it will help a lot, cause I am trying to understand what I've done wrong😢(Also, all the coefficients equal to 0, such as the first that I mentioned, do not have a coefficient, is that correct?)

Greetings from Indonesia. Great video. Thanks for your help. Peace be with you.

Thanks for the video

Great video and very helpful, thank you sir

thank you, iam doing my medical exam project and this was helpful

Unlike other videos, this one made feel closer to acquiring the much needed skill. Thank you.

Is the interpretation of ALL in the last output the same as the interaction effect?

Thank you for sharing

thank you very much

great work

I love you for this, you've just helped me immensely with my project work

very helpful, thanks a lot for your time and knowledge

is it possible to use the ordinal regression to investigate the relationship between a binary variable (representing the antibiogram of a given antibiotic, either as resistant or susceptible) across isolates from let's say five five distinct infection type (arranged by severity from the least to the most severe) ?

The best explanation of multinominal regression analysis

This is really helpful... You mentioned a handbook in the video. What is it, and is it possible to have access to it?

Congratulation!!!

Broo thank you so much, just done an entire question of my assignment using this one video😃😃

very helpful thank you

Great explanation! Thank you!

What happens when one of your interactions (Variable by LN_Variable) doesn't show up in the table? I put in 5 variables and their interactions with the log-odds, but only 4 show up. It also doesn't show up when I just add that one.

very helpful video, thank you.

Thank you so so much brother! Very helpful

Halo, I’m curious about the main effect of X no need to be consider?

Wow! Thank you! Found what I was looking for and very clear and easy to follow especially for an inexperienced user..

Thank you very much

First video I've seen on this that was actually really helpful! Thank you so much you are saving my dissertation!!!

👍

There is a lot of mouth noises and mouth clicks in this video.

This is so good. Thanks a lot for explaining it clearly. I hope you make such videos for other topics also

Flowing teaching

Hey thank you for your video. I have one question. If I have ordinal data (Likert scale) as my independent variables, should I put it into categorical covariates?

Thank you

what if theres 3 dependent variable outcomes? (3 stages of a disease)

This was helpfull, thank you!

Nice presentation

Great explanation, thanks!

Ma'am when I checking my assumption of outlier and applying CDF formula in that case it is showing "the expression ends unexpectedly" In this case, what can i do? I have 7 independent variables and 3 binary dependent variables.

very useful, thank you so much!

Thank you for a great video! I have a question: why is it important to centre the variables? Also, in my case, I want to look at the interaction effect of 'Incumbency' on the 'total amount of money' a candidate receives in an election when trying to predict 'vote share (%)' (DV). However, while money is a numerical value, I have coded 'incumbency' as a binary value of either 1 (they are an incumbent) or 0 (they are a challenger, or the seat is uncontested). Can I just multiply these together as you did in the video, even though my variables are different types of data? Thank you for your help!

If you included one variable at time, the OR would be a crude odds ratio... Therefore in this video the OR is actually adjusted. And variables are actually adjusting for the effect in each other

Excellent video!

Sir may i contact you for help

The best video about logistic regression that i have ever seen .. thank you for your effort

Thank you so much! Nice video 🤗

Is there a correlation between age and fare? Its only 0.09 whereas cut off is 0.7?

so the data is adjusted for survived group now?

A very big thanks to this very informative

Thank u for this video!!

how i can create the second graph at 2:29 ?

wonderful video! Thank you!!