Thank you so much! We need more professors like you - you spoke without the jargon making the entire concept seem so easy (which it is!). I am sick of professors who make everything sound so complex (just to sound smarter!). Loved this!
@selomotsakanigermina35784 жыл бұрын
i came across the concept multicollinearity few minutes in an article before searching for it on youtube and within 1h30mins, i had an insight of this concept, thank you prof...
@PatObi4 жыл бұрын
You're welcome, Selomo
@bharatsivamcgill9 жыл бұрын
Thank you, Prof.Obi, this was a very well-explained and insightful lecture. It helped me to understand the concept of multicollinearity very well.
@jnscollier9 жыл бұрын
This is one of the greatest, most well-presented videos I've ever seen. Thanks so much for posting and sharing your knowledge!
@kashifjaved20166 жыл бұрын
So impressive way of explaining with clarity. Thanks Obi.
@venetiazegou39796 жыл бұрын
Dear Sir, this is by far the most well-explained video about multicollinearity. Thank you so much for your help
@ozpaez36 жыл бұрын
Dear Pat: This is an outstanding explanation that helped me better understand the implications of multicollinearity in machine learning applicaitons. Thank you!
@jonathanekambi60927 жыл бұрын
Dear Sir, You have always been at my heart since that meeting in SA, Durban when you challenged me on my paper. I have just learnt so much about the concept of multicollinearity. Thank you.
@sbanik76816 жыл бұрын
Wow.. you explained such complex topic with so much ease and in a simpler form ... I must say as a beginner I was able to understand the concept related to Regression and multicollinearity... Thanks a ton Prof. OBI... Regards
@majidpattison9 жыл бұрын
Hi Pat, just wanted to say thanks, your lecture was very easy to understand , great stuff, hope to see more from you.
@bonegbujie71243 жыл бұрын
This took the mystery out of multicollinearity for me. Thank you so much for the well presented video
@ThinhNguyen-bp2zx8 жыл бұрын
Hi Pat Obi. This video is a very well-presented videos I've ever seen. Thanks so much for posting and sharing your knowledge! Your sharing is such a life saver. Hope to see more from you.
@Luke-nh5tu4 жыл бұрын
you are just making it look easy, and that is a true teaching. it doesn't matter how much you know as a teacher it matters how you will pass that knowledge to others
@bennykabwela19627 жыл бұрын
wowww! this is the greatest explaination I have heard about Multicollinearity! Kindly share your presentations on Heteroskedasticity and Homoskadasticity....
@henryhernandez22626 жыл бұрын
This was presented with so much calm and ease. Thank you very kindly. You are greatly appreciated Prof. Obi
@satbirsingh20554 жыл бұрын
Very elaborate explanation. Thanks Prof Pat Obi.
@studiesgonedownunder8 жыл бұрын
Really well explained. Loved it. Understood the topic so well for the first time. Also loved the way you showed it practically on data and on excel instead of just explaining the theory. cleared a lot of doubts. Thank you.
@micahonowighose61977 жыл бұрын
Great work sir. Was a kind of confused what multicollinearity was all about. But this video gave me an insight into it. I appreciate.
@aishatumala20363 жыл бұрын
Best video of Multicollinearity... thumbs up
@trinimusa40698 жыл бұрын
thanks alot. I have been searching for some kind of guidance and this video is a life saver.
@lubnagharaibeh25018 жыл бұрын
thank you so much for this simple yet comprehensive video
@ListenOrBeatIt9 жыл бұрын
Once again a great video! Super helpful, it makes so much sense now, thank you!
@vivil79174 жыл бұрын
Thank you so much to make this definition so clear, which helps a lot!!!! So many thx to you!!!!
@angelaerdiaw-kwasie79827 жыл бұрын
Perfect lecture on multicollinearity!!!Thanks Prof Pat Obi
@yaswanthkumarparasa11147 жыл бұрын
Very perfectly explained Mr. Pat Obi.
@TheAlilili7 жыл бұрын
Really amazing presentation! Very clear and open from beginning to end.👍🏼
@ufukerdoganx9 жыл бұрын
than you Dr. Obi, this lecture is very clear and very instructive.
@nwakuwaesther64316 жыл бұрын
my name is Esther Nwakuwa am in Lisbon studying statistic and information management in nova university (master prissily good to see you teach as a Nigeria whooo
@SharifsOptimization6 жыл бұрын
Thanks. looking forward to seeing more from you. keep doing videos.
@adarsha19816 жыл бұрын
Very nicely explained Professor !!!
@jordannghoko11946 жыл бұрын
thank you Prof Obi, this is a very well explained lesson on multiple collinearity
@itshgirish7 жыл бұрын
First time around this topic and things are nearly clear for me. Amazing explanation, thanks a ton. QQ, at the end you mention "we have to be careful on multicollinearity" do you have any continuation of this lecture that will show how to circumvent this problem.
@tmuffly15 жыл бұрын
Dr. Obi, I really enjoy your videos. I have two continuous variables: rcs(Age, 5) and rcs(GRE_score, 6) that I relaxed the cubic splines on and now I a getting huge VIF values for each of those variables. Does VIF work with variables that have relaxed cubic splines please? Thank you for your important work.
@PatObi5 жыл бұрын
Thanks for your kind comments. Sorry, I'm unfamiliar with the econometric implications or applications of cubic splines and spline interpolation. In any event, collinearity does not nullify the F test. I'd be careful though in interpreting results of the t tests.
@guuusha36998 жыл бұрын
Thank you so much sir,you explain it in a very clear manner.
@SURESHKUMAR-id4vw8 жыл бұрын
Thank you very much for sharing valuable lecture
@samad19048 жыл бұрын
Thanks for the excellent presentation.
@kimtan21438 жыл бұрын
hi thank you very much, your voice is so attractive, i enjoyed and i learnt so much from your video!
@PatObi8 жыл бұрын
You're welcome
@christinemwatha23814 жыл бұрын
Very well explained . Thank you
@skhimsara8 жыл бұрын
HI Pat. Very nicely explained. Helped me a lot. I have One question towards the very end. You mention that dropping the variable is not necessary. Only make sure that you don't try assess the individual impacts of each Xi independently on Y. However the overall regression shows a negative impact of nicotine on Y. so if we don't want to understand individual impact of each X, but just the overall impact of them combined on Y, is having the negative signs in there considered okay (even though it is counter intuitive)?
@PatObi8 жыл бұрын
That's a good question. However the answer is yes because the overall impact is embedded in the entire prediction equation, not on the individual signs or values of the coefficients. But please also bounce this of off other econometricians.
@ghebbitube30983 жыл бұрын
Thank you Professor Realy it is Very Intresting
@PatObi3 жыл бұрын
You're welcome!
@shot0406 жыл бұрын
You explained multicollinearity in 50 seconds whereas my teacher has spent over a week failing to do so.
@fikiledube67457 жыл бұрын
this was awesome!!! you explained it very well
@smangasanga86937 жыл бұрын
Thank you very much Sir! Highly appreciated!
@charlescharles28307 жыл бұрын
Very clear explanation sir. Thank you so much:)
@Han-ve8uh4 жыл бұрын
At 18:25 you mentioned how the high VIF of X1 and X2 agrees with the high correlation between X1 and X2. Is it always True that if we see high correlation between two predictors, their VIF will be high too? Also, is the inverse True? (My intuition says high VIF may not show up as high correlation because correlation only considers 2 variables at a time while VIF considers all other predictors)
@PatObi4 жыл бұрын
You're intuition is right. 👍🏽
@arunbm1238 жыл бұрын
very clearly explained.Thank U
@PatObi8 жыл бұрын
thanks for the feedback.
@JOSEPHINENTAGAZWA15 күн бұрын
Thank you so much proof you helped to understand alot of concepts
@audadr Жыл бұрын
THANK YOU, SEVERAL QUESTIONS WERE ANSWERED IN ONE VIDEO. THERE WILL PROBABLY BE MORE IN THE WAY, BUT YOUR EXPLANATIONS ARE ALLOWING TO MOVE FORWARD.
@johnpauleneku947 жыл бұрын
Well explained Sir. Thank you
@deepakshah40374 жыл бұрын
Awsm❣️
@mohammedalbanna94139 жыл бұрын
Life saver .. thanks aloooot !!!!
@tyronedealwis82993 жыл бұрын
Sir, This explanation is marvelous. Pls. Try to develop more tutorials using time series data with Eviews, practical applications.
@PatObi3 жыл бұрын
Thanks. By the way, I do have a number of videos on time series (VEC, ARDL, NARDL, etc.). Just visit my channel to see the playlists.
@rohtashbhall26713 жыл бұрын
Thanku sir . How choose a particular model or variable and how we decide our model is best fit .
@PatObi3 жыл бұрын
Your specified model is on your own hypothesis. If it's significant and all the diagnostics are ok, you should be good to go.
@kadhirn47924 жыл бұрын
It's a god sent material. Long live Man.
@999murugan7 жыл бұрын
Great Explanation!
@Dr.KishoreK5 жыл бұрын
Well explained!
@mohammadahmadalsheyab62458 жыл бұрын
thank you for the perfect explanation
@edutechtv68204 жыл бұрын
Sir, do I need to include the cell having X in analyzing the data or just the values under it?
@PatObi4 жыл бұрын
Not sure I understand your question. But you should include labels when running a regression on Excel.
@edutechtv68204 жыл бұрын
@@PatObi labels i should say. Anyway, thank you for your response sir
@tyronedealwis82993 жыл бұрын
Prof. I would like to suggest that if you could give the data set, we also practice your exercises and can get more clear picture. I am Tyrone De Alwis from University of Colombo, Sri Lanka
@PatObi3 жыл бұрын
Ok, I will do so. Thanks.
@SethuramKishore7 жыл бұрын
very much useful. Thanks a ton
@linduchyable8 жыл бұрын
hello, is this the same as if we want to look for endogeneity or simultaneity are those two subject are same as multicollinearity. i watched too many videos trying to figure things out confused about the terminologies used, and i needed to ask you the question and i did please help. another question how can i apply 2sls in SPSS or i don't know if its available in excel ?please help. Thanks
@PatObi8 жыл бұрын
No it's not. Collinearity is a case where the independent variables (X variables) are related to each other and as a result, we're unable to identify their individual impact on the dependent variable, Y. Endogeneity is a case where Y depends on X and X also depends on Y. In such a case, we cannot definitely regard X as an "independent" variable (please ask others too). Sorry, I'm unsure if Excel can handle 2sls or know how it's implemented on SPSS. Try searching on KZbin. Hope this helps.
@linduchyable8 жыл бұрын
thanks for your help i appreciate it
@Lucykanya7 жыл бұрын
Thank you Prof.
@Yasmeen-r9f3 жыл бұрын
Great explanation
@emantoraih77004 жыл бұрын
Thank you
@ফকিরতালিব2 жыл бұрын
Great! Thanks 🙏
@economicsbymanali Жыл бұрын
Amazing sir
@tahirjunaid64776 жыл бұрын
thanks well explained
@ishikaghosh36335 жыл бұрын
Thank u very much sir
@jiamingqu16447 жыл бұрын
great video! thanks!!!!!!
@nasirurabiu45465 жыл бұрын
Wonderful! I get the concept today. May God increase your wealth of wisdom in simplifying complex and tricky issues.
@rupertgreen67597 жыл бұрын
Excellent
@lakshmi89065 жыл бұрын
I wish I'd found it sooner
@but_i_can_t5 жыл бұрын
great video, thanks... if possible please share the excel...