Hello I found your videos awesome! Really appreciate that you created this. I am working on my M.S. and I was wondering if you happen to know anyone that can tutor to further explain some extra concepts and answer some questions. I think I may be needing someone in case I hit some more roadblocks. I think these videos are super helpful thanks so much for helping Students like me!
0:00 Introduction 3:33 Model Formulation, Design Matrix 8:43 Beta Hat Formula 9:25 Residuals and Error Sum of Squares 12:03 Example Model 13:00 X'X in MLR 16:35 X'Y in MLR
Hi there, great video. Can I ask in a multiple regression model, is it the means squared error that's provided as the error term of the predicted model? Appreciate any prompt response for my learning :-)
Very well explained. Thank you very much Boer!!
You know what....yours was the best video I saw on Multiple Linear Regression.
U explained it so easily...so much relieved now.
❤️ from India
It is a pleasure to be of help to you Rajat!
I really appreciate you, that what I was searching about. That helped me a lot. Thanks..
Hey. Thanks for the awesome videos. Please could you post a video on the delta method (univariate & multivariate) 🙏
Hello I found your videos awesome! Really appreciate that you created this. I am working on my M.S. and I was wondering if you happen to know anyone that can tutor to further explain some extra concepts and answer some questions. I think I may be needing someone in case I hit some more roadblocks. I think these videos are super helpful thanks so much for helping Students like me!
Always a pleasure to be of assistance! I am always open to suggestions if you need any specific topics explained.
0:00 Introduction
3:33 Model Formulation, Design Matrix
8:43 Beta Hat Formula
9:25 Residuals and Error Sum of Squares
12:03 Example Model
13:00 X'X in MLR
16:35 X'Y in MLR
Baie dankie! Hierdie gaan my deur 2de jaar stats op Stellenbosch sit.
Bly om te help Gerhard!
Hi there, great video. Can I ask in a multiple regression model, is it the means squared error that's provided as the error term of the predicted model? Appreciate any prompt response for my learning :-)
great video but you should have completed the matrice for X'X
That is the soution for this 1/(X transpose X)
Hi Fagunloye do you mean the inverse of (X transpose multiplied by X) ?
@@BoerCommander yes
Please where is the continuation
You can find the formula for the inverse of X'X here for the simple linear regression case: ruclips.net/video/RDQNc5xYQYM/видео.html
Yes thank you