Multiple Linear Regression By Hand (formula): Solved Problem

This video detail how to calculate the coefficients (parameters) for a multiple Regression by Formula. In this video, we detail how to calculate the slope and intercept coefficients for the case of two independent variables and a single dependent variable. #statistics #regressionanalysis #régression

[@DS_Gurukul]

Bro,you did a tremendous job..I had never seen this type of understanding in multiple linear regression. Best video..

[@stabelm]

Thanks for the compliment

[@MERCYOTIKE]

@@stabelm I need your help

[@MERCYOTIKE]

On a multiple regression question

[@stabelm]

@@MERCYOTIKE okay

[@hanahdorothy9496]

Thank you for delivering multiple linear regression in a way that we viewers understand it in simplest way🎉

[@imil6798]

I am student from Indonesia, Thank you very much, Sir. This video what i was looking for. As i student of computer science, instead of using the application, you present basic concepts related to the formulas used by the application itself.

[@stabelm]

I'm honored ❤

[@azariasgarabitos5082]

My friend, you did a realy good job. I've been looking for the manually calculations for this statistical model in particular in order to create automation of a predictive model in excel and this really helped me out. Thank you very much. Keep the good work.

[@stabelm]

Glad I could help

[@PeterKNjenga]

Trust the process...thanks bro😅

[@rafizoshunen]

awsome work man, do you have the calculation for multiple logistic regression?

[@stabelm]

I will work on this soon

[@amnakhan9205]

thank you

[@mrbem8550]

Oh my God. Thank you for this video. You really took your time to explained in details. You are a life saver. Love you💚💚💚💚💚💚

[@stabelm]

You are welcome

[@ayeshaaehsaan6613]

Thanks much

[@stabelm]

You are welcome. I’m uploading regression with 3 independent variables soon. Please subscribe to my channel and help share. One love ❤️

[@Custom-Tkinter]

Thank you very much but how do will find that e....

[@GibsonDickson]

Thanks a lot. this video is in line with my assignment, and it help me to the understand the Multiple linear equation.

[@FranciscaUdeh]

Thanks so much , I understand it more clear now

[@stabelm]

Glad it helped!

[@irenekavhura]

Thank you for saving my exam. You are the GOAT

[@stabelm]

You are welcome

[@gurriyarani6321]

Thanks sir good method of teaching.

[@juliocesarscombati5677]

Thanks for the class ! Very good ! It helped me a lot to understand multiple linear regression ! 👏🏼👏🏼👏🏼👏🏼👏🏼✌🏼

[@stabelm]

You're very welcome!

[@Rundtj45]

Thanks for ur clearing explanation

[@stabelm]

You are welcome

[@rafiaasim2977]

That's what i was looking for., I'm student from Pakistan, Thankyou so much Sir

[@stabelm]

You are welcome

[@natamadu3099]

How did you get the formula for B1 and B2. I'm trying to understand the method well

[@m.s.___.]

Yes plz someone explain to me too

[@faiqueraza2276]

plz tell how to solve when we have 3 X

[@stabelm]

Okay. I will work on it

[@mohamedhadi2281]

what is the name of this method u used to solve

[@ibrahimnahushal9353]

thank you and a great job

[@stabelm]

Thanks 🙏

[@rahmanmahmud2566]

This is the best video

[@stabelm]

Thank you

[@Aleem-ch]

thanks sir

[@stabelm]

So nice of you

[@deepad8678]

Excellent sir. Thank you so much

[@stabelm]

You are most welcome

[@Constantine808]

Sir I think beta1 = 0.274 ?

[@stabelm]

It’s not

[@Constantine808]

Thank you so much sir this video is very helpful for my final year exam !

[@stabelm]

@@Constantine808 you are welcome

[@AttaullahAnsar]

thanks sir love from Pakistan

[@stabelm]

love you too

[@xceeboard]

Thanks my exams will go well with this

[@stabelm]

You are welcome

[@ujjwalpal5517]

Bro (44.625)*(44.625) = 1991.391

[@RTknowledge-g1l]

Thank you nice explanation

[@stabelm]

So nice of you

[@sihamomar.h6599]

Is this by ols estimates method???

[@patthazard6044]

How to use the matrix formula pls?

[@stabelm]

Step by Step Matrix Approach to Multiple Linear Regression Solved Problem kzbin.info/www/bejne/qZDTZKOaot6LbtU