+Brandon Foltz , hi there nice videos ! do you have any video on how to account for confounding and effect modification in multiple regression analysis?
Brandon Foltz can you please explain how do I interpret different standard errors for different regression coefficients in the multiple regression model. I understand that in simple linear model it's the average distance data falls from the regression line but there we have only one regressor variable whereas in this case exists more than on regressors so can you please explain that?
Thank you Martin ☺️ Many lecturers nowadays are stretched very thin have have good intentions. I am glad your time learning with me was helpful and I have no doubt you will continue to do great things. Onward and upward!
@tomaskovarik1215 teacher myself and I can attest that Brandon's lectures and explanations are clear, professional, easy to understand and yet rigorous.
For some reason I don't like posting comments, but I have to let you know much you have helped me, you are one of the best teachers, or the best teacher I know. Thanks a lot
Thank you Brandon!! Your words of encouragement were just what I needed to hear and your straightforward way of presenting the material is such a relief! Thanks for doing what you do!!
Hey Brandon, taking my second stats course this semester along with pre-calculus 2. Your videos are invaluable. I start this Tuesday and am using your videos to get an overview of what I am going to be learning. Thank you!
I love the level of care and detail which you approach your videos with. Many other channels seem to cut corners in that regard and as a result, the videos are not as effective for me. I greatly appreciate your effort!
Thank you for the pep talk in the beginning. Mathy stuff isn't my forte but I need stats for my social science research, so I push through. Thanks for not being one of those teachers that make students feel bad
I heard your opening motivation in another of your videos and have written it down to read to myself when I inevitably find myself panicking over a problem (math or otherwise) that I am struggling to overcome. Thank you for that.
The videos are very informative. I bet these videos contain something that no one can ever easily find inside a book. I must say "read books and do watch Brandon's videos," you'll be a master in regression analysis.
I just found this wonderful resource after freaking out about probably not passing my honours course. THANKYOU! the opening made me feel so much better :) xx
Thank you sir for taking the time for leaving this lecture on youtube, I know it takes time amidst this busy life, I appreciate it very much, it helps me a lot, very clear, right pace, and meaningfully keeping all important points.
this is my first stats course and because my teacher is only using SPSS I found it difficult to follow. I realize you could not do every software just wished you used SPSS but everything else you have done in stats has been helping me more than you will ever know thank you soo much
I am studying machine learning so i wanted to become strong in statistics . Your videos are very helpful. i can see your effort and hard work . Thanks a lot :)
Thank you so much for your video Brandon, I listen since the Simple Linear Regression, and all of your video have helped me a lot. I used to repeating what my teacher teach for hours and still did not get it, but once I saw you video, I immediately understand. Thanks again and God Bless.
Amazing video! I enjoy learning stats even more! No one had ever run through all the values of the results with me before. I really appreciate your effort and patience.
Thanks so much for these videos! I am finding them very helpful with my studies on linear regression. You break it down in such an easy way that I seem to comprehend. Also, I love the words of encouragement at the beginning of these videos!
Hey @Brandon Foltz ! Two doubts: 1.) Remember in your previous videos when you laid out the formula for prediction interval and confidence interval. In case of prediction interval the formula for the interval was (y*)^ +t subscript(alpha/2) * (s(subscript (pred) )^2, where (s(subscript (pred) )^2 = s^2 + (s (subscript y*))^2 s - standard error/RMSE s (subscript y*) - term which appears in confidence interval formula. difficult for me to expand it here, you mentioned it in CI video. But in this video when you were calculating PI for x=84, you multiplied directly by standard error(RMSE) of 0.3423. Isn't it wrong? 2.) If R square = SSR/SST *100 , and SSR = SST - SSE, and Standard Error(s) = SSE/SST * 100, why in the table which is shown in the end, they don't add up to 100% for all the three variables. R sq %+ S% = 100%, right?
Really nice and helpful video lectures. Brandon it would be great if you can make videos on 1. Logistic regression (for binary output) 2. Multivariate Logistic Regression (for continuous output). Thank you.
Thank you soo much for these lessons! I'm using them for econometrics, I don't uderstand anything at lectures and now it all finally makes sense! Also, the revision parts from previous videos are very helpful :)
Awesome video, wonderfully explained. Can you couple these videos along with a 3 min session (at the last point of video) in SPSS so that it becomes easy for the user to see how to implement the concept.
At 16:44 if you want a 95% confidence interval shouldn't you use the 0.025 value since the interval is two-tailed? If you use the 0.05 value won't that result in a 90% confidence interval? Just curious if I am correct in my thinking or not! Thanks! Great videos, fyi :)
Very stressed grad student currently crying after the intro... very well done!
I never posted a comment online before, but I had to in this case. Brandon, you are absolutely awesome individual and a very effective teacher.
Vitali Mindel
The beginning pep talk was greatly appreciated
I am a math teacher myself and I can attest that Brandon's lectures and explanations are clear, professional, easy to understand and yet rigorous.
The beginning of this video was so needed. Thanks, Brandon!
My next Multiple Regression video is now live! Just FYI that it is a two part video. Enjoy!
+Brandon Foltz , hi there nice videos ! do you have any video on how to account for confounding and effect modification in multiple regression
analysis?
Brandon Foltz can you please explain how do I interpret different standard errors for different regression coefficients in the multiple regression model. I understand that in simple linear model it's the average distance data falls from the regression line but there we have only one regressor variable whereas in this case exists more than on regressors so can you please explain that?
Brandon you put my statistics lecturer to shame when it comes to explaining these concepts in a way that makes sense!!
Thank you Martin ☺️ Many lecturers nowadays are stretched very thin have have good intentions. I am glad your time learning with me was helpful and I have no doubt you will continue to do great things. Onward and upward!
This world needs more teachers like you. A big thankyou for making it so easy to understand!
@tomaskovarik1215
teacher myself and I can attest that Brandon's lectures and explanations are clear, professional, easy to understand and yet rigorous.
For some reason I don't like posting comments, but I have to let you know much you have helped me, you are one of the best teachers, or the best teacher I know. Thanks a lot
Thank you Brandon!! Your words of encouragement were just what I needed to hear and your straightforward way of presenting the material is such a relief! Thanks for doing what you do!!
These playlist are amazing and very useful. I am watching alongside as I analyse my data.
Thank you brandon. I am glad I came across this video.
Why am I only learning about your videos today 😭. They are really good and helpful. ❤️. Thank you. From South Africa 🇿🇦
Hey Brandon, taking my second stats course this semester along with pre-calculus 2. Your videos are invaluable. I start this Tuesday and am using your videos to get an overview of what I am going to be learning. Thank you!
Brandon, aren't you just absolutely awesome?.No doubts...your heart is pure gold!!.
I love the level of care and detail which you approach your videos with. Many other channels seem to cut corners in that regard and as a result, the videos are not as effective for me. I greatly appreciate your effort!
Thank you for the pep talk in the beginning. Mathy stuff isn't my forte but I need stats for my social science research, so I push through. Thanks for not being one of those teachers that make students feel bad
You can do this. Keep digging!
My professor is pretty good, but your slides and tempo are just better for someone who's slower in learning statistics! Thanks so much!
Trying to consistently thumbs up every single video in all the 18 playlists
I heard your opening motivation in another of your videos and have written it down to read to myself when I inevitably find myself panicking over a problem (math or otherwise) that I am struggling to overcome. Thank you for that.
Thanks, Brandon for the encouragement. You are a super awesome teacher. God bless you.
The videos are very informative. I bet these videos contain something that no one can ever easily find inside a book. I must say "read books and do watch Brandon's videos," you'll be a master in regression analysis.
so happy I found these!!!!!!! -very stressed biology grad student
I just found this wonderful resource after freaking out about probably not passing my honours course.
THANKYOU! the opening made me feel so much better :) xx
Brandon you are amazing. THANK YOU SO MUCH. You don't know how much you have saved my life.
Thank you so much for the intro 😭 I need to have faith in myself and to my groupmates. We can do this!!!!
learning in 1 hr what I couldn't in 1 semester. hats off Brandon!
you have saved my research project you can't even imagine how grateful I am too.
Nice and clean elaborated explanation for researchers. Well done
Thank you for the sweet pep talk and your hard work!!
you are one of the best teacher I have ever seen
the little affirmation at the start gets me every time :') i needed that :')
u r a champion statistics teacher..
You are the best stat teacher .
you have a teaching gift that was so simply expained
I really needed to hear that today Brandon! Thank you so much for your kind words! :)
Best statistics teacher.
Thank you sir for taking the time for leaving this lecture on youtube, I know it takes time amidst this busy life, I appreciate it very much, it helps me a lot, very clear, right pace, and meaningfully keeping all important points.
this is my first stats course and because my teacher is only using SPSS I found it difficult to follow. I realize you could not do every software just wished you used SPSS but everything else you have done in stats has been helping me more than you will ever know thank you soo much
I am studying machine learning so i wanted to become strong in statistics . Your videos are very helpful. i can see your effort and hard work . Thanks a lot :)
watched your videos on basic stats almost from the the beginning. it really helped a lot. thanks.
Thank you so much for your video Brandon, I listen since the Simple Linear Regression, and all of your video have helped me a lot. I used to repeating what my teacher teach for hours and still did not get it, but once I saw you video, I immediately understand. Thanks again and God Bless.
What a lovely preamble. Funny - such a small thing, but I appreciate it so much. These are great!
Amazing video! I enjoy learning stats even more! No one had ever run through all the values of the results with me before. I really appreciate your effort and patience.
Great lecture truly breaks down the concept of multiple regressions. Thanks
Iam grateful that you sharin your knowledge in easy to understand way to all of us
You are awesome sir!!!
***** Awe thanks! But you are awesome-er. :)
Thanks so much for these videos! I am finding them very helpful with my studies on linear regression. You break it down in such an easy way that I seem to comprehend. Also, I love the words of encouragement at the beginning of these videos!
Hey @Brandon Foltz ! Two doubts:
1.) Remember in your previous videos when you laid out the formula for prediction interval and confidence interval. In case of prediction interval the formula for the interval was
(y*)^ +t subscript(alpha/2) * (s(subscript (pred) )^2,
where
(s(subscript (pred) )^2 = s^2 + (s (subscript y*))^2
s - standard error/RMSE
s (subscript y*) - term which appears in confidence interval formula. difficult for me to expand it here, you mentioned it in CI video.
But in this video when you were calculating PI for x=84, you multiplied directly by standard error(RMSE) of 0.3423. Isn't it wrong?
2.) If R square = SSR/SST *100 , and SSR = SST - SSE, and Standard Error(s) = SSE/SST * 100, why in the table which is shown in the end, they don't add up to 100% for all the three variables. R sq %+ S% = 100%, right?
I have the same question as your first one!
Really nice and helpful video lectures. Brandon it would be great if you can make videos on 1. Logistic regression (for binary output) 2. Multivariate Logistic Regression (for continuous output).
Thank you.
Thank you very much. The introductory sentences, specially the Benjamin Franklin's quote, were very encouraging :)
Brandon you are a savior.....u HAVE ADDED MORE VALUE TO MY LIFE AS COMPARED TO SOO MANY THINGS
Absolutely Brilliant Explanations ! Very natural and easy !
Brandon, you are great, i am watching your video's and Statistics, i am sure you are changing life's for many people. Keep it up, respect from INDIA
Thank you so much for your stats videos. They make total sense when compared to some of the rubbish my uni lecturer attempts to present.
Just helped him for his open learning platform. You are amazing man !
Thank you soo much for these lessons! I'm using them for econometrics, I don't uderstand anything at lectures and now it all finally makes sense! Also, the revision parts from previous videos are very helpful :)
Brandon, you're absolutely amazing and a genius! And also, its good to know you have faith in me. :) Thank you!
Thank you so much for taking time to create these informative tutorials! Helped me a great deal!
You are an excellent teacher. Thanks!
I´m so happy I found your channel/videos!!! YOU ROCK!
thank you. thank you. thank you. Excellent class even for experienced people.
It is just amazing, You are just getting better and better. Thank you so much. Keep up the the good work. I am so blessed.
Many thanks for your easily understandable lessons. They're really meaningful to me
I love your quote, at the beginning of the video! Thanks for the awesome videos!
Awsome!! Watched all your video while learning Statistics.
In ghana, had difficulty n now am good..kudos .thanks
Bundle of thanks to you SUPER man. You have really made my day.
thank you so much for making this material available here. they are really really helpful!
Thank you for those awesome lectures. Very clear and understandable presentations and expression. Thank you again..
Brilliance personified !
Fantastic teacher! I Thank you so much!
Excellent videos....highly recommended ! Thank you
Thank you Thank you a zillion times ..... u turn statistic from being scary to enjoyable
excellent delivery!
Sir, your video is so much productive for learning. Thanks a lot sir.
the videos are awesome really. working on my research in organizational psychology so need to understand how to use spss. its a good foundation
This is SO clear. Thanks!!!
Amazing videos you have here! love them save me alot of time and hassle
You are great Teacher!! love your videos ...and your motivational speech as well.
the best statistic video is of jbstatistics.Beside that genius if anyone that explains beautifully then its you.
Thanks Brandon...These videos are very useful.
Awesome video, wonderfully explained. Can you couple these videos along with a 3 min session (at the last point of video) in SPSS so that it becomes easy for the user to see how to implement the concept.
yes, i also need help with this T.T how to operationalize it in SPSS
Amazing teacher!
Thank you so much for sharing your knowledge, you are helping me so much in my stats class right now.
You are awsome and loved all the explanations... it's crystal clear...keep posting more videos👍
Excellent explanation and comprehensible although I'm not a native speaker. Thank you!
that intro really got me fired up haha. nice video
My friend, You are a superhero!
Thank you very much for your nice videos. Great learning materials ! Thank you so much!
Thank you so much for making these videos
Great videos. Thanks for posting it.
I´m late to the party ;) But thank you so much for your videos. They are saving my life right now :) All the best from Germany.
Thank you thank you thank you...!!! :) Finally makes sense to me ;)
+Heida osk Gardarsdottir Excellent! And you are very welcome. Hang in there you can do it.
Thank you for these videos!
The video is really great!! It helps me a lot ! Thank you !
Great lessons 👍
this is great!! thank you!! the motivational speech was much needed lol
Thank you very much for these Good and Excellent Video.
excellent ... thanks a lot... It helps me a LOT...
At 16:44 if you want a 95% confidence interval shouldn't you use the 0.025 value since the interval is two-tailed? If you use the 0.05 value won't that result in a 90% confidence interval? Just curious if I am correct in my thinking or not! Thanks! Great videos, fyi :)