Thank you very much sir for making this type of videos.... you don't know how much your videos helped others.... Your way of explanation is totally different from others and very easy to understand. Previously I had a lot of fear in statistics.. after watching your video I'm just loving stat...
Thank you for this detail which is easy to digest. So many videos do not discuss the steps after the regression and how to apply back to your hypothesis and data plots.
Thank you for sharing. Coming from a non statistical background, you really helped my understanding by the way you simplified the statistical analysis.
SIMPLY WOW !!! . Can you suggest good tutorials for other ML models also pls like Supervised models (Classification models like Naive Bayes classifier, Decision Trees, Support Vector Machines, Random Forest, K Nearest Neighbours, Logistic Regression) (Regression models like Neural Network Regression, Support Vector Regression, Decision Tree Regression, Lasso and Ridge Regression) Unsupervised models (Clustering models like k-means clustering, mean shift clustering, DBSCAN clustering, Agglomerative Hierarchical clustering, Gaussian Mixture) Please brov. Thanks in anticipation.
Hello Steve, at 6:53 area, I thought you would say you'd 'reject the null hypothesis', and not 'fail to reject the null hypothesis'. Possibly just a mix-up of words, but given that your p-value is less than alpha you would reject and not fail to reject.
thank you, a thousand times, thank you, Dr. B, from a non-traditional (i.e., OLD) doctoral candidate dissertating in acoustic and socio-linguistics. Is that a Mancunian accent I hear, Oldham, perhaps? Peace, kw
Thank you Steven for this great tutorial video! It is so helpful. Meanwhile, would you pls. explain why only the C.i. of the slope is considered to calculate the C.I. of the estimated y value in most textbooks? There are two parameters (slope and intercept) in the regression equation, and both parameters have C.I. calculated, shouldn't we put both C.I. into the calculation to estimate the CI of the y? thanks!
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Thanks so much.
I loved the fact that, the content is so simplified and easy to digest
Thanks mate appreciate the feedback
Finally a video that show in deeper detail all the coefficients and charts generated by Excel in a Regression analysis. Thank you very much for that.
Solved my 10 day confusion in just 9 minutes
thank you so much! you did a better job at explaining than a lot of my teachers!!
Very rare to find a video that is detailed and easy to understand like this one... superb indeed.
Thanks for the feedback Benedict 👍
better job explaining this than a lot of other videos out there. good job
Your teaching method, language, and presentation are just fantastic!
Thanks very much for the kind feedback
Thank you so much for going through this in such detail. This was extremely helpful for me. I appreciate you!
Extremely helpful, great example and well explained. It helped immensely with my Statics class. Thank you!
Thank you for this detailed tutorial! The explanatory part was really helpful to determine which value was important in my research!
This guy has help me a lot after struggling on how to do this analysis on data.
Thank you for sharing such a detailed and high quality video.
you rock Steven. you made me like it even more
Simple and easy to follow, thank you for this tutorial
Thank you very much sir for making this type of videos.... you don't know how much your videos helped others.... Your way of explanation is totally different from others and very easy to understand. Previously I had a lot of fear in statistics.. after watching your video I'm just loving stat...
Great explanation, this is the first really useful one for a novice to learn about how to interpret a simple linear regression model.
The best video for Regression ,1000000 likes
Best tutorial ever developed
Thank you for this detail which is easy to digest. So many videos do not discuss the steps after the regression and how to apply back to your hypothesis and data plots.
Thank you! one of the best tutorials videos i have seen. Very clear and practical.
Superb! This is excellent. Very much appreciate your in-depth coverage of each of the elements in the output
Excellent! Best linear regression video I have seen. Thank you!
Thanks mate. Appreciate it 👍
Clean video on using that technique. Perfect for my students to refer to.
What a great presentation!
Thanks a lot. This video was very helpful if one wants to get a quick understanding on regression model .
This is so helpful. Thank you so much! I am working on a research project and was having trouble getting started with regressions on excel
You're so welcome! Good luck!
You are doing a great job. Keep it up 👍👍👍
Thank you for sharing. Coming from a non statistical background, you really helped my understanding by the way you simplified the statistical analysis.
Leared a lot.
Thanks a ton!
This was a lifesaver
WOW that video is super helpful, thank you so much for posting it.
Fantastic in teaching and explaining. GOOOOOOOOD JOB
This was a really great tutorial and very helpful.
Thank you for the most comprehensible piece, I am forever thankful!!!!
Brilliant, just brilliant.
Thank you so much for the video. Simple and easy to understand.
I'm a rock star thanks to you!
This is superb 🎉. Keep up the momentum.
Thanks very simple to understand ❤
Thansk - very helpful ... I am going to watch many more of your videos ...
Man your explanation is very clear. Thank you 👌👌
Cheers mate
Thanks for this video! Helped me with a lab :)
Thanks a lot 😊
Thanks for this. This is a super big help.
Very welcome
I just subscribed. Excellent video. Absolutely perfect analysis
Cheers Jon Jon
SIMPLY WOW !!! . Can you suggest good tutorials for other ML models also pls like
Supervised models
(Classification models like Naive Bayes classifier, Decision Trees, Support Vector Machines, Random Forest, K Nearest Neighbours, Logistic Regression)
(Regression models like Neural Network Regression, Support Vector Regression, Decision Tree Regression, Lasso and Ridge Regression)
Unsupervised models
(Clustering models like k-means clustering, mean shift clustering, DBSCAN clustering, Agglomerative Hierarchical clustering, Gaussian Mixture)
Please brov. Thanks in anticipation.
this one is quite clear i found so far, thanks a lot sir.
Thanks a lot for such clear explaination
Excellent video, thanks!!!
Excellent job! Congratulations!
Thanks for the explanation i was struggling and i had to do a linear graph project with two varables of the topic NBA teams
@@frosty20 very welcome!
Clear and Concise
Very helpful video thank you so much!
This is helpful. Thank you, sir
thanks! great explanation!
High quality explanation
detailed explanatory tutorial. thank you very much, Sir
Excellent video.
Very helpful! Thank you.
Very insightful ... thanks
Hello Steve, at 6:53 area, I thought you would say you'd 'reject the null hypothesis', and not 'fail to reject the null hypothesis'. Possibly just a mix-up of words, but given that your p-value is less than alpha you would reject and not fail to reject.
Probably a mix up of words
this is very helpful thank you
Very clear, detailed and useful, super class. Thank you so much :-). Ps: (not randomly) subscribed.
Thanks Vasco!
thank you very much! Very clear!
Very helpful tutorial...step by step
thank you, a thousand times, thank you, Dr. B, from a non-traditional (i.e., OLD) doctoral candidate dissertating in acoustic and socio-linguistics. Is that a Mancunian accent I hear, Oldham, perhaps? Peace, kw
Excellent presentation Sir!!
Thank you kindly!
Perfect explanation
EXCELLENT. Thanks!
superb little tutorial thanks.
Most useful. Thanks a lot
Thank you so much!
You are a god. Thank you!
Hat's off to u sir for this great video
very helpful, thank you!
I really enjoy your video can you show us how to do a logistic regression please
amazing explanation prof
Thank you so much for such a wonderful video.
May I have the excel file, so one can practice along with the tutorial.
Please in l will need more tutorials on basic econometrics calculations and these type of vids....if not am failing this course please
This is easy to understand 😀
Thank you!
Top class video. Super like.
Great video
Thanks a lot man!
Welcome mate!
Thank you Steven for this great tutorial video! It is so helpful. Meanwhile, would you pls. explain why only the C.i. of the slope is considered to calculate the C.I. of the estimated y value in most textbooks? There are two parameters (slope and intercept) in the regression equation, and both parameters have C.I. calculated, shouldn't we put both C.I. into the calculation to estimate the CI of the y? thanks!
Can you please do a tutorial on multiple regression
thank you so much
thanks a lot? may God bless you.
Hello I did linear regression, but my teacher did not accept it because the number of steps in the formula was low. How can I increase it?
How to interpret the accuracy of the linear Regression Model?
Very helpfull thank you
how goated this is my man
How come when I highlight the numbers with the labels it gives me, "contains non-numerical data?
Can you please do a tutorial on multiple regression?
Much appreciated
Very Clear
Thank you so much
how can i get probability percentage from this linear regression?
Show paird test in excel?
And how why use mcnemars test?