# Statistics 101: Multiple Linear Regression, The Very Basics

Skip to content
# Statistics 101: Multiple Linear Regression, The Very Basics

##
100 thoughts on “Statistics 101: Multiple Linear Regression, The Very Basics”

### Leave a Reply

Career In Forensic Science

I have been trying to understand the Machine Learning algorithms. Your videos have given me a very clear understanding of what these Machine Learning models are trying to achieve. Please continue with the excellent work you are doing to make this simple and easy to understand. Thanks.

very clear and easy explained!

These videos are amazing. I'm a CS undergrad student and these explanations are helping me a lot in preparation for my machine learning models.

Wonderful tutorial! Thank you so much for posting high quality content for free 🙂

This is awesome! Thank you

Thank you for explaining everything so clearly and logically!!! Thank you so much!

Brandon, simply great

Your videos are probably the best in content as well as presentation. You are doing a great service to the machine learning community. Thank you.

Thanks for this video. You're a life saver.

you are simply gifted with the simple, most comprehensive method of teaching and interpretation. Thank you so much for what you do. You have helped so much in such little time. I have only watched two videos so far and I was able to learn so much that I couldn't learn during the lectures in the last 10 weeks. The world needs more people like you.

God bless you always.

SALT HAHAHA

Thanks Brandon for share this!

Very well done!

i am regretting that why i was not here before.. 🙁

Thanks a lot!!!!感激不盡!!

Hi brandon…… statistics earlier made no sense to me……and being a doctor we need to learn biostatistics ….but now its really easy…ur videos are a great help….keep it up…

Can u upload a video about discriminant analysis and principal component analysis….?

If it's possible can you share the slides?

I'm a graduate student and your video tutorials are very helpful. I like your presentation approach when breaking down a complex subject like statistics. You're a very talented instructor and obviously know your subject well. Deserves more subscribers. Cheers.

You're a life savior for statistics students! Thank you!!

I went through 2 ebooks, a couple of PDFs of reputed universities available publicly and none of them explained it the way you did. Thanks a tonne!!

How do you get the multiple regression equation?

can you do a video on Multiple comparison using ANOVA?

I just received IRB approval for my dissertation proposal. I’m doing a multiple linear regression study. While I’m sacred to death (smile) this video did a masterful job reviewing the basics of how MLR works. Looking forward to other videos.

Thank you universe, finally! Someone who can actually teach.

Thanks so much, Brandon you made this so easy for me to understand. Great work!

Well done !

Thank you. Just THANK YOU.

wow! … I am glued to your videos … more than what I learned from my whole semester course … Thanks …

you are a life saver! Thank you so much!

I have a question regarding 18:16. What happens if increased capital investment lead marketing expenditures to be more effective? Intuitively, if you spend the same amount of money marketing a mediocre product versus marketing an excellent product, each dollar of marketing on the excellent product would go further. So my question is, wouldn't the coefficients for x1 and x2 change dynamically as any of the two variables change? If so, how is this accounted for? This is something I have been thinking about for a while. Thank you for the great video.

Would it be correct to interpret the model as: If you increase both, marketing expenditure and capital investment by 1,000, then predicted sales will increase by 1,000 x 9 + 1,000 x 12 or 21,000?

You are a STUD

Thanks so much for your explanation. This has made it so easy for me to understand Multiple Regression. I went to other videos and they just added to my confusion. Thanks again!

Thank you fo rthis!!!

you're a god

great course, a big thank you Brandon!

you're a live saver man

You sir .. are a legend in teaching, you would make an excellent professor 👍

Why would you use hypothetical example which would clearly have multicollinearity of independent variables?

This is soooooo helpful for me now. I am glad that this kind of real knowledge can be found on youtube. Thank you Brandon!

<3

Your videos are fantastic. I am stats illiterate but have to understand these concepts for my psychology class. Thank you ! I may actually pass by exam this week <3

Thanks super loads. Understanding everything clearly.

i love u bro

Excellent video! Thanks a lot.

Totally helpfull, Thanks a lot

Great explanation

Do you have anything on causality?

Hey Brandon, Thanks so much. Your video felt like sitting in a data science class learning the fundamentals of statistics for analytics. You're the best. Cheers.

why does he remind me of Perd Hapley from Parks and Rec?

Very basic, but it is clearly lectured.

Would love to know the preset template and platform you use for your slide presentations. Thank you so much for explaining stats in a way that helps people understand.

Ron Swanson is teaching me regression… Sweet

wonderful video! I am learning more than three statistics classes I have taken in my college life.

12:00

Respected sir how b1 b2 is calculated..is it like simple regression. Please give some explanation…thanku

Brilliant videos. I donot comment on videos usually. Best videos for learning regression in detail

Clear explanation. If I consider West 0, East 1 and so on………….. I am a little confused about defining categorical variables. May I know the criteria? Otherwise, It is awesome for fast learning.

Your videos are very helpful and easy to understand. Thank you so much for putting up these videos. I have one question though, why do we assume the error term to be 0 in multiple regression model?

Why are estimated effects larger in a simple regression than in multiple regressions?

Unbelivable well explaned

Thank you so much.. in case of multicollinearity of two independent variables, then what another statics method is better to analyze the impact of the two independent on one dependent variable?

Every thing is OK, and I have got a lot of things about stata, but how we can regress if a researcher uses primary and secondary data in one?

Thanks man, all of your videos are very informative and the way you teach is simply amazing. I study at the IIT, but man my prof is nothing in comparison to you in terms of teaching.

Dude you are amazing. Your explanation, your simplicity and validity and clarity they all make you unique. I want to thank you so much because I have an upcoming exam, and you just made everything easier to me!

Man you don't know how many lives you're saving. I am extremely grateful for you thank you 🙏

Hi Brandon. Great job mate! How would you use multiple regression to predict the outcome of a baseball game?

Hello brandon, thanks once more for the amazing video. Quick question, i'd really appreciate it if you could answer it ! In Simple linear regression we learned that y-hat is the estimated of the expected value of y. Is this still the case in Multiple regression or something changes? Thanks in advance!

Beautifully explained! Thanks a lot for the video.

what if we have one ID and multiple DVs. what do we use for that?

Thank you so much sir from the core of my heart……. You are a saviour

Best teaching

Thank you very much for a great presentation.

Amazing explanation; unlike other presentations, this made me even more interested in statistics.

Thankyou so much for this video!

your videos are recommended by my professor, and we, all of my class mates, appreciate your passion for helping, thanks again for providing such helpful videos.

Thanks, man now I understood multicollinearity.

Sir can u help me with a question?its urgent

Is constant means zero value?

Thank you it was explained in such a way that made it simple to grasp. You accomplished something many teacher's lack now simplicity in explaining complex ideas.

I have found this video so brief and concise…it would have taken me probably several sessions of reading 10 pages in a text book to clearly understand this topic.

Thank you so much. This is wonderful presentation.

the best teaching on this topic, thank you.

Awesome explication. Thank you so much!

thank you

Good presentation and easy to understand

How do we find the values of the coefficients and bias in multivariable regression?

Hey!!! I wanna say thank you so much!!! I ❤️ your teaching style!!! your pace, explanation everything is awesome! I am a Data Science student and this is extremely helpful!!! thank you again! 🙏 🙏 🙏

Thank you very much, deeply appreciated.

Dear Sir, I'm very glad to get your tutorial. My concept full clear on Multiple linear regression. Can I get your all of Presentation files which make on Multiple Regression.

I have learnt alot from you! thanks a zillion 🙂

Now if I could only find the other two hours and forty minutes of this professors video…

Loved your teaching style………Beautifully explained.

appreciated!!

Very well explained, Thanks

I would like to ask Brandon, can both latent dependent and independent variables uses multi regression method?

I was going to donate .. where is your PayPal link? ..

Thank you for sharing your knowledge and time…

Thank you. Very helpful

Brandon, I watched all your video playlist on simple linear regression, multiple linear regression, and ANOVA. I took my final for my college class STA3032 Statistics for engineers and scientist and I got a freaking 95%! This was by far my highest score and I really feel that your quality content was a huge part in my success. Thank you very much for being amazing.

Perfectly explained😊😊