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Statistics 101: Multiple Linear Regression, Data Preparation 

Brandon Foltz
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In this video we learn about how to analyze our variables before performing multiple regression. It is assumed that you are comfortable with Simple Linear Regression. If not, please review my playlist on that topic. Keep on learning!
My playlist table of contents, Video Companion Guide PDF documents, and file downloads can be found on my website: www.bcfoltz.com
#statistics #regression #machinelearning

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6 авг 2024

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Комментарии : 283   
@2002budokan
@2002budokan 5 лет назад
Crystal clear explanation. I think I've finally found a non-boring statistics channel, with a wise instructor.
@lubersonjoseph5700
@lubersonjoseph5700 4 года назад
he is the best.
@juheidiheithaguilar9898
@juheidiheithaguilar9898 3 года назад
I agree
@dahliajohamamcy3679
@dahliajohamamcy3679 2 года назад
Me too.....
@MellyGats
@MellyGats 2 года назад
Yes, not boring, but also without cheesy, annoying theatrics!!
@sulaimanoreshile8988
@sulaimanoreshile8988 3 года назад
I am a Nigerian academic and a PhD student in Southeast Asia, I am marveled and fascinated by your unique pedagogical nuances as well as the serenity and calmness in your delivery. This is a rare quality of a TEACHER . You are gifted! I envy your students! You are the BEST! thumbs up
@megancarlson7290
@megancarlson7290 8 лет назад
Whoa. Been struggling for days with the data for my MSc. in Global Health thesis. Your videos have broken the principles down to their basics, and built them up to re-form the whole picture. I can't thank you enough.
@MadhuKumarKilli
@MadhuKumarKilli 5 лет назад
Your tutorials give me a sense of confidence that despite being from a commerce background i too can gain the expertise in Data Science stream with these ultra clear statistics concepts.
@MaddyLovesBase
@MaddyLovesBase 8 лет назад
I'm currently enrolled in an MA in humanities, examining emergency and disaster management, essentially I'm the only person in my entire cohort doing a quantitative thesis (survey based examining if disaster preparedness is linked to various factors such as demographics and health and well being) and thus my program focuses on qualitative work. I've been teaching myself statistic. Thank you so much for these videos, they are literally a life saver.
@malikabra1449
@malikabra1449 3 года назад
Hello!! I am preparing my thesis too and my work also is survey-based and have qualitative data. Could you plz answer my question? (maybe you have an idea since your work is related). My data about residential satisfaction is collected on a Likert scale. I calculated the overall satisfaction so this is my dependent variable and the calculation is based on the mean value for selected attributes. Now I want to know if it's possible to run a multiple regression using the same attributes and consider them as independent variables to know which one accounts more for the variability of the dependent variable (the satisfaction level).
@MaddyLovesBase
@MaddyLovesBase 3 года назад
@@malikabra1449 haha sorry that was five years ago... once I defended I pretty much forgot everything
@malikabra1449
@malikabra1449 3 года назад
@@MaddyLovesBase hahaha yeah sorry about that!! I was excited to find someone in the same situation. Thanks
@therealjakub
@therealjakub 3 года назад
sooo did you use SPSS? or what tests did you conduct in your thesis?
@ericjohnpajo5536
@ericjohnpajo5536 7 лет назад
My thesis proposal proposes a research that uses Multiple Regression. Thanks a lot!
@juliansneve4835
@juliansneve4835 3 года назад
I'm currently pursuing a professional certification in Data Science and while beginning work on my inaugural capstone project I've been, for a lack of better words, blindly cleaning my data. Watching this video opened my eyes to what my end goal of data wrangling should be. Thank you, Mr. Foltz, for the clarification and very likely saving me a ton of time.
@BrandonFoltz
@BrandonFoltz 9 лет назад
Finally live. Enjoy!
@ejaycatamora7297
@ejaycatamora7297 4 года назад
Thank you!
@CreekCat1
@CreekCat1 9 лет назад
Oh my gosh, thank you. Been trying to figure out what to do with my data from my thesis work on wetlands. No help from my adjunct adviser and I've had one stats class...in 1998. This particular video with the steps for the prep work is finally helping me visualize what I think might work. You are an excellent teacher. Would be so cool if you use some ecology, wildlife, or environmental data in your samples.
@djaurit
@djaurit 6 лет назад
Thanks Brandon! Can tell you have the heart of a teacher and a great mind! Appreciate the way you present the material and the journey through it. Also appreciate the use of a consistent example. Best wishes.
@jcdentonunatco
@jcdentonunatco 6 лет назад
Thanks for making these! Its amazing that I can learn more in a day of watching these than I can in half a semester from my prof!
@DeepLakkad
@DeepLakkad 6 лет назад
Thank you Brandon for providing such an amazing community service. I am sure that this is helping thousands of people around the world who want to pursue their career in analytics or data science domain. I would really appreciate if you can add videos of SVM, Random Forest, Decision Trees, Naive Bayes, etc. And, one of the problems we tackle is undersampling and oversampling while dealing with the non-uniform distribution of target variable. I am sure it will help a lot of people especially me who want to clearly understand the concepts behind it in a very in-depth manner.
@jaredsmith3996
@jaredsmith3996 9 лет назад
Thank you so much! These videos have greatly enhanced my grasp and understanding of regression. Having no prior stats experience before my current MA program, these tutorials have become inexorably linked to my econometrics textbook readings and class preparation.
@xuhongzhang4821
@xuhongzhang4821 5 лет назад
Thank you very much for these well-made tutorials! A small suggestion though: I think the sea salt vs table salt example is not appropriate to explain multi-collinearity. Multi-collinearity refers to the case where one independent variable can be predicted from another. The existence of table salt doesn't seem to be predictable from the existence of sea salt. In fact, their existences can be made independent to each other, but of course their influences on the output (taste of the dish) are not independent.
@superhari1972
@superhari1972 5 лет назад
Great video, very simple and explained with suitable example. You are a good teacher too..
@MAbdullah47
@MAbdullah47 9 лет назад
Thank you so much about the materials you provide , it's really helpful you make a regression analysis as a peace of cake
@MIBCN2008
@MIBCN2008 8 лет назад
Very clear explanation. Wish my teachers at uni were like this. Thanks so much for your videos.
@sharong9869
@sharong9869 8 лет назад
Brandon, a very clear, simple, effective, really easy to understand teacher for difficult subjects.
@robertwaller7699
@robertwaller7699 2 года назад
THANK YOU. I type this in capS...THANK YOU. In a r statistics class, and in one weekend you helped me understand and also write the code to mirror your analysis. I understand SST, SSR, SSE, R, r squared, etc. Keep making the videos. For the first time, in all the gofundme's in the world, I contributed to yours. Can't thank you enough for making these videos. Note for those coming across this, the exact process Brandon is going through, my professor in my Phd program wrote the exact same correlation process. Each step is the same. However, Brandon is explaining it to the degree in which I understand it now after just a weekend. THANK YOU, THANK YOU, THANK YOU!!!!
@Thecollector33
@Thecollector33 6 лет назад
Thank you for the videos. Learned a lot between simple linear regression videos to this one. Even the nitty gritty math of the coefficients makes sense!
@josephinew3634
@josephinew3634 4 года назад
I found your vidoe coz I'm doing an assignment involved with multiple variable regression. My lecturer and tutor couldn't explain it clearly, and didn't give sufficient instruction about how to do it. But your video is awesome. It saves me from struggling with my assignment, and what surprises me is that your example is highly similar with the scenario in my assignment. Thanks a lot.
@girljorge
@girljorge 9 лет назад
Thank you Mr Foltz for posting these videos. They really helped me in my statistics class this fall. I went from being discouraged to earning a B in the class. Thank you! You truly have the gift of teaching.
@vickylin715
@vickylin715 3 года назад
I just discovered your channel. I wished I had done so earlier! I like that you explain at a reasonable pace and give a brief summary at the end of each step. You are a very skilled teacher!
@ericl.gurley6830
@ericl.gurley6830 Год назад
Thanks for your work here! Clear, visual, and real examples. Again, thanks!
@mulugetarussom2526
@mulugetarussom2526 7 лет назад
I found the Stat 101 presentations as "life saver" as Madeline stated. Thanks so much Foltz!
@mildredaviles4829
@mildredaviles4829 8 лет назад
Thank you for making it simple to understand.
@desertstormmarine
@desertstormmarine 7 лет назад
Brandon, great stuff! You have saved me from total mental rejection of this subject! You should be my professor!! I am at a University in San Antonio, Texas and have struggled up to this point (Simple Linear Regression) and you have turned it all around!! Thank you sooo much!!
@greggapowell67
@greggapowell67 4 года назад
Brandon. Excellent!... You've made quick and easy work of going back and renewing my understanding of Multivariate regression. THANKS!
@mkwarlock
@mkwarlock 9 лет назад
You are the best. I have never seen an explanation as good as the one given in this video series. Amazing, I love your work, and I'm very thankful!
@aisamarnie
@aisamarnie 5 лет назад
Brandon, I'm so grateful that people like you exist, you help so many students around the world, thank you!
@denara5004
@denara5004 5 лет назад
Just want to say thanks for this! MSc research brain fog has lifted thanks to your clear explanation. I was able to find my way again
@esthermetieh6320
@esthermetieh6320 3 года назад
I'm watching this video 7 whole years after it was posted. Statistical analysis for my MSc data brought me here and I'm super glad I found your channel. I no longer have palpitations when thinking about multiple regression. Thank you very much!
@BrandonFoltz
@BrandonFoltz 3 года назад
Glad it helped Esther :) Deep breath. You can do this.
@esthermetieh6320
@esthermetieh6320 3 года назад
@@BrandonFoltz Thank you for the encouraging words!🤗🤗 Really needed it!
@prasadiamaratunge1368
@prasadiamaratunge1368 6 лет назад
This is truly helpful. Thank you and May God bless you
@abdallamohamed2374
@abdallamohamed2374 7 лет назад
Looking forward to enjoying part3. Thanks so much for this thoughtful & well-organized work
@Maris2012
@Maris2012 8 лет назад
Forecasting is the most difficult subject for me! I'm so glad I found your channel! I have a great professor but I like your teaching style! thanks so much!
@ineschaby6122
@ineschaby6122 3 года назад
This guy is saving my life - I was so lost before I found your videos! Thanks !
@jeffw2672
@jeffw2672 5 лет назад
Nice video! You lectured very systematically and clearly and you were very careful for each term/jargon that could confuse us. You are really thoughtful and well organized. Thank you god that you made this video. Really appreciated!!!
@eswan7638
@eswan7638 9 лет назад
This is a truly excellent series. I was trying to understand the ARMA models for prediction and I could not understand the terms. Now I have began seeing what the terms used there imply.
@MegaSpicyT
@MegaSpicyT 8 лет назад
You are a life saver! Well presented and clearly explained. Thank you!
@gudusangtani
@gudusangtani 4 года назад
Best explanation i have heard so far on regression. Very few people have such a teaching talent
@tamammohamad922
@tamammohamad922 4 года назад
I invite teachers of the world to adopt your way of teaching! I cannot thank you enough!
@ClaudioA-tq2ex
@ClaudioA-tq2ex Год назад
Finally a tutorial with a real world example that is clearly explained, great work Brandon
@sergemiguelkl6207
@sergemiguelkl6207 9 лет назад
Very helpful, clear explanations, really appreciated the way through you introduce topics, always come back and recall why this.
@rtoro90
@rtoro90 9 лет назад
Great video! You just did in 20 minutes what my teacher couldn´t do in a week. I will be waiting for part 3. Thanks.
@BrandonFoltz
@BrandonFoltz 9 лет назад
Rafael Toro Thanks so much! And Parts 3A and 3B are now live just FYI.
@MRradicalmj
@MRradicalmj 8 лет назад
These lectures are excellent. They explain the subject FAR better than my text book does. Thank you so much for posting.
@cristinapraderamos6548
@cristinapraderamos6548 3 года назад
OMG, I wish I new this channel before! Im doing my MSc with lots of stats and you're saving my life hehehe amazing lectures, thank you for sharing your knowledge!
@sonyarutherfurd1065
@sonyarutherfurd1065 3 года назад
Your teaching is amazing. Thank you so much. There is nothing else out there that compares
@boburjonmamatov5079
@boburjonmamatov5079 5 лет назад
Thank you so much!! You explain very clearly!
@veegenius6750
@veegenius6750 8 лет назад
Brandon! Your da' man! Thank for sharing the knowledge and taking baby steps with us! My journey with you started with - like, then as I watched more on stats it went to subscribe then...the level went off the scale!!!! I'm beaming all the way to understanding this quantitative method which can be used as a research method! - Now, I feel empowered by your teaching! Appreciated and will pass on the links. :-) you have provided. Kate
@netmadefamous
@netmadefamous 9 лет назад
You took so much time and hard work just to teach us .. I have no words to thank you ,on the occasion of Teachers Day in India i would like to thank you for all the hard work you have done for us..
@evilmorty-tv1xs
@evilmorty-tv1xs 6 лет назад
Just stated with machine learning and found your videos. Really helpful content. Thanks Dude !!!
@abhinavbhatnagar5651
@abhinavbhatnagar5651 6 лет назад
I m a big fan of yours. Here is one compliment that's suits you " You don't understand enough, if you can't explain it simply " . Your explanation helps to understand the depths of complexities. Or rather I should say you explain complex problems so simply which helps me getting better and dive more into data analysis. Keep doing good work. Thanks for everything you do.
@JackIsNotInTheBox
@JackIsNotInTheBox 4 года назад
The repetition in the concept is very helpful when you were explaining it.
@shijirn3108
@shijirn3108 4 года назад
I am so happy to find you, crystal as clear explanation thanks
@Oneminutewin
@Oneminutewin 6 лет назад
Thank you for your help. Make more regression videos please! You're videos are the easiest to understand on youtube!
@EatMyLaptop
@EatMyLaptop 6 лет назад
Thank you for your very structured video's! They really help me succesfully complete my master's thesis.
@rakotondrazakatojoherilant6403
@rakotondrazakatojoherilant6403 4 года назад
5 years ago ‘ s video and still outstanding 👍🏾 well done
@user-gp6pp3sf7w
@user-gp6pp3sf7w Год назад
These videos are perfect! The explanations are great and content is very well-organized. Thank you so much!!!!
@gvott1
@gvott1 3 года назад
You are the best professor in the whole world!!!!!!
@abhijitchhaganpatil
@abhijitchhaganpatil 9 лет назад
This is really Helpful. Your videos have always cleared my concepts in a very less time. As a professional in analytics industry I find your work very useful whenever I need to refresh my concepts. Thanks *****. Can you also do a couple of videos on logistic regression?
@MsSakony
@MsSakony 5 лет назад
Abhijit Patil j
@gabrielraoust4068
@gabrielraoust4068 3 года назад
Amazing videos. Very pedagogical. Your Voice is also perfect for this. Thank you!
@ramamoorthyselvamuthukumar5822
Wow, a clear shot explanation, Thank you so much....!!!
@zalida100
@zalida100 9 лет назад
Excellent video. Having the link to the playlists is very very useful, making it easier to review videos in sequence etc. You score extra for doing that :) - Thanks v much.
@sachchhca
@sachchhca 5 лет назад
Very easy to understand. Thank you so much!
@sbarter
@sbarter 6 лет назад
rly helping me understand the concepts of machine learning. Thanks
@pradeepsharma30
@pradeepsharma30 7 лет назад
Fantastic!!...complex topics explained in simple manner....very helpful!
@dexterpante
@dexterpante 9 лет назад
Always excited to watch brandon's tutorial!
@BrandonFoltz
@BrandonFoltz 9 лет назад
Dexter Pante Thank you Dexter! Always glad to hear that kind of enthusiasm!
@beatrixfriedeberg6339
@beatrixfriedeberg6339 5 лет назад
could not agree more with Megan. This is excellent. thank you
@abhijeetparihar3349
@abhijeetparihar3349 7 лет назад
Great Explanation!! Thank you Brandon.
@EzioOmer
@EzioOmer 2 года назад
This teacher is awesome. Thank you mr brandon.
@bevansmith3210
@bevansmith3210 6 лет назад
This is great Brandon. Thanks!
@maximshen3078
@maximshen3078 8 лет назад
Crystal clear ! Good work !
@mbizglobaljoe
@mbizglobaljoe 9 лет назад
Thank you so much for your informative lecture. It was really big help for me.
@saraouanes
@saraouanes 4 года назад
Thank you for your effort. You are very good at Teaching. You make Statistics look easy. I have learned a lot from your videos.
@anilnampally2660
@anilnampally2660 4 года назад
fantastic ...complicated topics explained in a simple way
@inkyukang2358
@inkyukang2358 9 лет назад
fantastic free video, thumbs up x 100!
@michaelpappas3857
@michaelpappas3857 Год назад
Another outstanding video! Thank you Brandon!
@ErikFKL
@ErikFKL 6 лет назад
Thanks Brandon, i am new to statistics and your videos help me a lot!
@Axle_Max
@Axle_Max 5 лет назад
These videos are awesome! Thank you.
@ivanlozano305
@ivanlozano305 3 года назад
well explained! we need more content like this for statistics
@Jellonights
@Jellonights 6 лет назад
extremely helpful brandon! thank you so much!
@juheidiheithaguilar9898
@juheidiheithaguilar9898 3 года назад
So clear. Tnx for doing these presentations.
@ChumePeterNhanombe
@ChumePeterNhanombe 4 года назад
Thank you for the videos. you made my master studies much simpler
@VinodRS01
@VinodRS01 4 года назад
♥️ simply awesome ,👌 best explaination ever i got
@yiqingwang1437
@yiqingwang1437 9 лет назад
Great job! Thanks!
@BrandonFoltz
@BrandonFoltz 9 лет назад
Yiqing Wang Thank you so much!
@onbrowserapp7186
@onbrowserapp7186 4 года назад
This is fantastic!!!! Thank you very much!
@kayodeadechinan5928
@kayodeadechinan5928 4 года назад
Such a wise instructor! OMG
@Nico-jc7zr
@Nico-jc7zr 3 года назад
Your series is so well made. Really good work.
@Asma-oh8gd
@Asma-oh8gd 3 года назад
Thank you a lot, all the best ❤️
@sathyanarayanankulasekaran1674
You have made my life really easy...awesome explanation :)
@aaronhoward8489
@aaronhoward8489 9 лет назад
Another helpful video. Thank you!
@abdiwarsame6743
@abdiwarsame6743 9 лет назад
This is excellent explanation!! thank you very much posting it!
@monazaizan947
@monazaizan947 2 года назад
I really enjoy your slides. I appreciated your efforts.
@anubhutisingh5778
@anubhutisingh5778 4 года назад
only if I had a teacher as cool as you! thankyou for all the help
@user-ii9nl7cc6i
@user-ii9nl7cc6i 6 лет назад
You are my life saver! Thanks
@angtoddjohnson
@angtoddjohnson 9 лет назад
You are gifted at this!
@rnd322
@rnd322 8 лет назад
amazing! I've learned a lot in 40 minutes more than weeks of my stat class
@perreshelton2205
@perreshelton2205 8 лет назад
+rnd322 I have too...so happy to have found these videos. I've literally watched all of them from Simple Regression up through Multiple Regression.
@katerinaboididou8601
@katerinaboididou8601 4 года назад
Thanks so much for your helpful videos!
@AZ-sz1tj
@AZ-sz1tj 7 лет назад
superb work in explaining this!
@govamurali2309
@govamurali2309 5 лет назад
This is amazing, please do advanced topics such as supervised learning,svm etc
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