Thanks Dr. Pat Obi , unbelievably clear explanation , don't know why others over complicate these concepts!
@amantekle127
3 жыл бұрын
Watching this lecture is much better than attending my actual lectures online. Thank you!
@PatObi
3 жыл бұрын
Thanks for your kind comment :-)
@aishakendrick4044
5 жыл бұрын
Thank you for breaking this down. I feel like partial cost of my PhD program should be paid to KZitem (that's bad I know).
@PatObi
3 жыл бұрын
You're very welcome!
@aidylmorningdew195
3 жыл бұрын
@@PatObi me too. KZitem has helped me a lot during my PhD journey
@herodmoonga4799
2 жыл бұрын
Yeah am grateful for your presentation, will fail no exam on this topic, thanks once more Sir, you are indeed a genius
@mukailarafiu2718
3 жыл бұрын
This presentation is phenominal. May God bless you, sir.
@PatObi
3 жыл бұрын
Thank you. And you too.
@hendrika526
5 жыл бұрын
Seriously, these explanations are so clear and simply brilliant! Thank you so much!
@andreatragni7528
Жыл бұрын
You are a wonderful and intelligent human being. Thank you
@toseefdin5521
3 жыл бұрын
Oh My - so nice to see this video- you were in the strathmore uni orientation day...i am happy to see you here professor
@itismitabiswal7675
4 жыл бұрын
Thank you so much really.....so simple explanation..that no body can give..
@iamnotCorinne
3 жыл бұрын
You, Sir, are a lifesaver. Thank you so much!
@Guilopes99
4 жыл бұрын
Probably the best clear yet more in depth explanation on the interpretation. So good! Do you normalize data before the regression? Does it matter? Thanks
@PatObi
4 жыл бұрын
Thanks for your kind comments. No, I don't think it's necessary or even appropriate to normalize regression data. Just my opinion :)
@PatObi
2 жыл бұрын
No need to normalize unless you wish to. Sorry for late response :-)
@kerrisonmarange3946
5 жыл бұрын
Honestly i have been helped...thank you for providing such great clarity on the topic.#preps for my next month exams
@SandeepKumar-sg7ou
10 ай бұрын
To estimate the Marginal Value Product (MVP) and Marginal factor cost (MFC) equated to allocative efficiency ratio or from regression coefficient of the variables
@42laar
Жыл бұрын
thank you so much for the thorough explanation!
@evelynfurtado1240
5 ай бұрын
If i have a model where the p value as a whole is not significant, but one independent variable is significant, can it still be reported?
@markosmanaye5578
10 ай бұрын
Very helpful presentation. Thankyou sir!
@collinsagayi2233
3 жыл бұрын
Wow. Thanks a lot. Now I can interpret my data very well
@PatObi
3 жыл бұрын
You're welcome!
@RonanJoyce123
3 жыл бұрын
i am doing a question comparing 2 models which each have 3 independent variables. Can i use the fact that Model 2 has a lower standard error of the estimate than Model 1 as a predictor of the dependent variable?.. since this would mean narrow the width of the confidence interval and therefore give smaller margin of error in my prediction of the dependent variable? Thanks
@Guilopes99
4 жыл бұрын
Do you have any tips on excel to: - select the right variables - check if the required assumptions are match - checking outliers and missing values - how to test several combinations of variables
@patricialuize
3 жыл бұрын
Thank you so much, Sir! Your videos are very helpful!
@PatObi
3 жыл бұрын
You're welcome!
@shanuibra
Жыл бұрын
Sir if R square in regression model will around . 2 or. 3 is it problematic?
@brendanyarko2536
2 жыл бұрын
what do i do if my r square is less 10% but the model is significant?
@somcana
5 жыл бұрын
Thanks Pat!
@malloryalvacastaneda2547
2 жыл бұрын
Hello Sir, where did you get the number x1=52 and x2=17? maybe i have missed it on your presentation. thank you
@AKAxdkid_
4 ай бұрын
Thanx a lot , i can now her heart❤️
@wengelawitbisrat8934
2 жыл бұрын
Thank you. I was doing analysis and i got beta value positive 0.026 but the sig.value is 0.6. So should i reject the hypothesis ? Does it mean x and y are negatively related ?
@tsehayenegash8394
2 жыл бұрын
How can we calculate the error term
@beckienantongo2424
Жыл бұрын
Thnx. Very helpful video
@ronelnature1792
3 жыл бұрын
Good work 🤝
@thebiglad
2 жыл бұрын
Top guy Pat
@ladoucefleur1748
4 жыл бұрын
Thank you so much
@gardeningtourfamilycelebra8268
3 жыл бұрын
sir please help me my problem is - Another persons explain his model - RSEI = 0.098*NDVI + 1.019*WET - 0.025*NDSI - 0.001*LST + 0.007 (R2 =0.998) 1. The WET must increase by 0.098 if the RSEI increase by 0.1. Nevertheless, the increased WET and the decreased LST occurred at the same time . 2. Therefore, RSEI increase will be more than 0.1. If the LST decrease by 0.098 and the WET increased by 0.098 the RSEI will increase by 0.10001. How its explain? My model is - RSEI = 0.9396*NDVI - 0.0074*WET - 0.22496*NDSI + 0.04665*LST + 0.0664 (R2 =1) So,1. If the RSEI increase by 0.1 then NDVI must increase ................? 2. RSEI will increase by 0.10001, Then LST decrease by .................? and NDVI increased by ..................................? How this model explain above mention two point? Please answer me. and help me.
@PatObi
3 жыл бұрын
Please watch my short video, Regression - In Brief 2of3, for interpretation of regression result. In your study, RSEI rises(falls) by 0.098 unit for every 1 unit increase(decrease) in NDVI, with the other variables held constant.
@gardeningtourfamilycelebra8268
3 жыл бұрын
Sir please send your 2 of 3 video link. because I want to interpreted my model. thank you sir.
@gardeningtourfamilycelebra8268
3 жыл бұрын
Sir RSEI is the dependent veritable and other WET, LST, NDSI, and NDVI is the independent veritable. I am calculated multi regression. but i can not explain the model. sir I want to explain my model.
@francisbenath2309
3 жыл бұрын
thanks lo for every words...
@Gorrdo4
Жыл бұрын
Thank you Sir.
@davinsanch
Жыл бұрын
I owe you!
@Mandla89
3 жыл бұрын
Thank you so much for this
@ttanchor3254
2 жыл бұрын
Verry helpful
@dinaraniyazova7323
3 жыл бұрын
Hello! How to calculate p test manually? is there is formula in multiple regression?
@PatObi
3 жыл бұрын
You can watch the 2nd half of this video: kzitem.info/news/bejne/zGZtuImCqpN3gqA
@lorenzomiguelgarcia842
3 жыл бұрын
Is there a way to determine if one of the independent variables moderates the relationship of the other independent variable and the outcome using multiple linear regression?
@PatObi
3 жыл бұрын
I'm not sure, Lorenzo, except perhaps in the context of colinearity and in a different case, inclusion of interaction terms. Please ask others.
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