I am a physician, epidemiologist and biostatitian, and I can say, hands down, this is the best explication of the main factors in a regression table. So those nebulous concepts that appear in books can finally be understood. Congratulations!
I'm just a curious pharmacist but I subscribe below. It takes tremendous understanding to put it down clearly yet not losing the technical aspects. This video would've have more views if you added "how to + Excel" to the title
Thank you Dr. Obi! This is such a great explanation! You are a gifted teacher. I've watched many of these videos and your explanation is the most succinct and simple to understand.
This is very helpful. Thanks. But I would also like a multiple linear regression video on a model where there is interaction and one of the variable is categorical. Especially the part of interpreting such model coefficients...
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? help me.
I am a physician, epidemiologist and biostatitian, and I can say, hands down, this is the best explication of the main factors in a regression table. So those nebulous concepts that appear in books can finally be understood. Congratulations!
Thank you sir.
I'm just a curious pharmacist but I subscribe below. It takes tremendous understanding to put it down clearly yet not losing the technical aspects. This video would've have more views if you added "how to + Excel" to the title
absolutely, this was en excellent video
Dear Dr Pat Obi….hands down the best explanation on the Internet ….thanks
Dear Dr.Obi, your explanations are phenomenal. Many thanks indeed for your continuous support and care...Bravo!
Really appreciate!
the best video on Multiple regression, thanks Pat Obi for doing it so wonderfully.
Appreciate your kind comment!
Thank you Dr. Obi! This is such a great explanation! You are a gifted teacher. I've watched many of these videos and your explanation is the most succinct and simple to understand.
Thank you
Thank you, professor. You've done a really good and helpful breakdown.
thank you sooo much for this explanation. This is really helpful. thank you so much again.
This is very helpful. Thanks. But I would also like a multiple linear regression video on a model where there is interaction and one of the variable is categorical. Especially the part of interpreting such model coefficients...
really nice expalanation with best examples please upload a video for how to calculate covariance matrix and autocorrelation with examples? thank you
thank you so much! really great explanation
YOU! ARE! AWSOOOOME!!!!!!!
Thank u my problem got resolved
You're welcome!
Thank you so much❤❤❤
What's the question in this x1, x2.y?
Sir, I have a question,Is Y hat+error=Y?
Yes
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?
help me.
why did we tick on labels
So Excel knows it's not part of the dataset.
GREAT TEACHER! IT IS POSSIBLE TO LINK UP?
can you send me this xls or ppt