Statistics 101: Linear Regression, Outliers and Influential Observations
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- Опубліковано 8 лип 2024
- In this Statistics 101 video, we examine outliers and influential observations. We learn and they can affect regression models and have real-world implications for interpretations and suggestions we might make.
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 #datascience
Please upload more videos and keep it up. We're learning a lot and helpful for us. Thanks for sharing
Hi Brandon, as a learner who has struggled for ever (I am now 50 years old), your videos have opened my eyes and brain to understanding to what I thought was impossible for me. Thanks
You have the highest income in the world, because your income is the heart of thousands students allover the world. You're earning in the best possible way and investing on eternity!
You have helped me a lot and you came to me in a difficult time like a true friend. I hope that I someday repent what you have done to me, however I won't be able to give you back, what you have already given me.
Your videos are the best and my first choice to learn statistics. I have always recommended your channel to my, university staff, professors and anyone else who needs statistics.
You're doing genuinely well. For me, it's the best and highest honor to see the hearts are laughing und you have this honor, so please keep investing on eternity and earning the hearts!
😍😍😍😍🤗🤗🤗🤗🤗
finally, simple regression line done, this playlist REALLY helped
what can I say, the story that you create Brandon was outstanding, I saw the entire linear regression playlist in 3 - 4 hrs. It was so good. I thank you so much for this session.
I almost signed up for an intro to data science course for continuing education at the local community college in my area but changed my mind after watching a good amount of your videos. You explain concepts thoroughly and in an easy to understand format. You just earned a new subscriber!
One can never get enough of your lectures. You are covering a wide range of important statistics concepts.
I watched this whole playlist! I recently went through a positive career change, and now find myself as a database developer. These videos have helped me understand basic linear regression, which is one step on my way to becoming a data scientist.
was just curious about stats when learning python for data science yet spend days on your channel. now I want to sort statistics out haha
i watched your entire series of linear regression. i never thought i could actually understand the concepts but here i am. that you repeat explaining where the numbers come from and the interpretation of those numbers really helped me to link the scattered ideas together. I was bad in high school physics and uni stats because i never saw how the stories flow. THANK YOU.
Thank you so much for this Simple Linear Regression playlist, Brandon! It has been a real lifesaver in my coursework. The explanations you provide are top notch!
Really appreciate the way you teach... the concept of one example for the entire 12 lectures is really good... these videos not only teach... but also make you think.... you are a hero .. for many students.... Thanks for sharing your knowledge
Thank you so much! This has been so immensely helpful for me, and has answered a number of questions I've previously asked in class and simply received the response "we just do it like that". Again, thank you!
Thank you so much for this series of videos, I'm a highschool student trying to write a paper on machine learning, and you have made everything so easy to understand. Now I will head over to multiple linear regression
thank u for your time and exertion, it was fulfilled with good examples and explanations.
i finished these 12 videos in 3 days to understand well. your style of approaching to the subject is really unique. I'm glad that I found your channel, thank uu :)
Brandon Foltz! Sir, you are a legend! Thank you so much! Your explanation is incredibly clear, concise and understandable. I am grateful to you! Loves from Azerbaijan!
Thank you Brandon , for making my life a little more clearer with this subject ❤️
Please keep this up
You're helping alot of minds
Thanks Brandon!.... I enjoy the way you explain it in simple terms
You are the best tutor in youtube.
I saw all videos and I need more!!! please upload more videos, definitely you are an amazing educator!
Thank you, for the video, for the playlist, for the channel. Thank you very much💞
Completed this playlist! Thanks for making the concepts so clear to us:)
Keep rocking !!! Thank u very much for sharing
Waiting for your tutorials on Machine-Learning topics and this video is a welcome start..... Please cover other ML concepts as well.
Thank you so much for sharing
You're the best Brandon
Thank You
Thanks so much for the good work
thank you!
Great videos!!
It was such a fun. Whenever I hear linear regression Bill and tip amount comes to my mind. 😂😂
Thank you Brandon
Thank you for your video,. It's really helpful
Thanks!
You are great
Is the video for Leverage out yet? I couldn't find it. These videos are better than any class or textbook I studied from till this day.
Keep up the great work!
Great vids thanks :)
Thank you for uploading this video. 😊
Thank you for watching! I really appreciate it. :)
Wow made it really through the playlist! Thank you for those videos, I understand it now😊
Wonderful! Keep at it.
thank you for taking the time to create this content. Consider accepting brave tokens on your site.
Honestly this videos are priceless and you have a very well deserved that M.Ed after your name. Great!!!
Every master of something stands on the shoulders of giants. I am no different. Keep digging.
Hey Brandon - When are you uploading the next video? I can't wait for it. Please let us know!
Subscribed.... Awesome channel ... Keepup the good work .... Surely I will try to donate when I can ...Keep up the good work
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Thank you
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Must repeat 1 - 12 at least once more
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Great videos. Did you ever come around to making the video on leverage points?
Thanks for making linear regression so easy to understand. For outliers, what is the maximum percentage of the population that can be removed from an experimental data which once finds as outliers? I read of 4% rule in information theory (the parent of HCI) is that a good cutoff?
I have no words....i bad to get such precious education for free. You deserve proper reward. Do you have any course that i can subscribe or book that i can buy
You watching is the best reward. I appreciate it. My PayPal tip jar is always open. 🤗
Is there sense to continue on find the regression line if its R squared is that low? What's the level of threshold thouh?
could you please make videos regarding regression assumption in detailed manner.
Thank you.
thanks for your science
Hello is there a website when all your videos are stored. So I can go through them
Aside from UA-cam? Everything I have is here. :) ua-cam.com/users/bcfoltzplaylists
Can someone post the link of second part of this video?
Where can I find the ppts
At the end of this video you said that the next video will be on the topic, "Leverage". But the playlist end at this video.
I started on it, but the Multiple Regression playlist kind of took precedence after that. I will get back to to it at some point sorry! :(
@@BrandonFoltz You didn't have to say sorry😅
Where is part 13 sir :), It has been a long time since you had uploaded part 12
Where is the leverage video... please post
U r technically sound