I am a PhD student in Environmental Sciences and I have a poor stat background (really just basic stat) and I'm taking an RStudio class... my current professor does very poorly at teaching us how to code properly and understand what we're doing, but your video... it helped me learn what I should've known 2 months ago. Thank you SO MUCH. This was GREAT. Will be suggesting this to others.
Thank you Dr. Brown, I'm a doctoral student who had poor instruction on Educational Research instruction and while Qualitative makes sense for me, my former professor provided no effective instruction or resourcing in quantitative research. Our new Quant professor has us studying in R, the book has been pretty good, but Simple Linear Regression was not well explained. You saved us. Thanks again!
Thanks for these videos. Econometrics test in two days after missing almost all lectures due to work... Now I've got an idea of what the lecture material is all about at least. I wish our lecturers would explain it as simple as you. Keep it up!
Thank you very much :D you really helped me and i cant get why channels like yours have so low number of subscribers, while you explain everyhing in so easy and understandable way. Thanks a lot again ;)
Jonathan, Thank you so much for the thorough information you provided. Subscribed and saved these two videos. Could you please share the power point document? I could not catch the website you mentioned at the beginning of this video. Thanks!
sir kindly tell the interpretation of Residual standard error you said in video couldn't get idea through audio. plz write the interpretation in reply thanks!
In the linear regression equation, does the epsilon = 0? For example: If I'm trying to calculate Games Won, would I just plug in a value for the (points per game) and solve accordingly while ignoring the epsilon because it equals zero?
I'm very new to stats, so would I be correct if I said for this example, "We should reject the null hypothesis (that the slope is zero) because the slope is 5.971 std. deviations from zero. And anything that lies outside of 3 std. deviations is unlikely. " ?
residual standard error IS NOT THE SAME AS mean squared error. Sorry for caps but I don't see a single comment where this is mentioned and this could throw a student off, like it did for me. I had to verify this and I'm glad I did.
Thank you so much for replying... All the best for coming semester.. Please do videos on logistic regression, annova , market basket analysis, clustering as well.
I am a PhD student in Environmental Sciences and I have a poor stat background (really just basic stat) and I'm taking an RStudio class... my current professor does very poorly at teaching us how to code properly and understand what we're doing, but your video... it helped me learn what I should've known 2 months ago. Thank you SO MUCH. This was GREAT. Will be suggesting this to others.
I am an MSc student in environmental sustainability, and tow days have my stats exam, and this is such a helpful video.
In two videos I just learned much more than my entire econometrics class, thanks you so much
This video literally saved my life. This is what I needed for my Research Techniques class. Thanks a lot!
Thank you Dr. Brown, I'm a doctoral student who had poor instruction on Educational Research instruction and while Qualitative makes sense for me, my former professor provided no effective instruction or resourcing in quantitative research. Our new Quant professor has us studying in R, the book has been pretty good, but Simple Linear Regression was not well explained. You saved us.
Thanks again!
The Part 1 and 2 videos are excellent. They've been really helpful.
very well explained， would you do a series on interpretation of R output
Thanks for these videos. Econometrics test in two days after missing almost all lectures due to work... Now I've got an idea of what the lecture material is all about at least. I wish our lecturers would explain it as simple as you. Keep it up!
Thanks
Thank you very much :D you really helped me and i cant get why channels like yours have so low number of subscribers, while you explain everyhing in so easy and understandable way. Thanks a lot again ;)
Honestly, I have learnt a lot from this presentation, thanks.
This is everything my linear regression class is missing! Thank you for your explanation
Thank you Jonathan!
Man !!! You are my hero ! Thank you 🙏🏼
Jonathan, Thank you so much for the thorough information you provided. Subscribed and saved these two videos. Could you please share the power point document? I could not catch the website you mentioned at the beginning of this video. Thanks!
One of the best explanations Ever!!!!! Awesome
Have been looking for this from a long time. Very useful!
This video really helped me a lot, thank you Jonathan
Excellent Explanation. Please organize the videos accordingly. Please create playlists.
Thank you very much you've been so clear
Skip to 2:00 directly if you are not new to regression
sir kindly tell the interpretation of Residual standard error you said in video couldn't get idea through audio.
plz write the interpretation in reply thanks!
do you have the slides available? great video
can you share the review sheet you were talking about
Do you teach this class through any online platforms?
Would you be willing to make your powerpoint public?
Can you tell me the formula to calculate the standard error under coefficients. I mean the standard error of the intercept and the slope.
Thank you. Solves a lot of my questions. But still need some more understanding of the Standard Error. Any pointers?
Thanks !!!
Oh. my. god. I wish you were teaching my class
Is there any way I can get the PDF document used in this Video?
In the linear regression equation, does the epsilon = 0?
For example: If I'm trying to calculate Games Won, would I just plug in a value for the (points per game) and solve accordingly while ignoring the epsilon because it equals zero?
Where can we find the guide ?
Awesome explaination. Thank you.
Great explanation, thanks!!!
very nice video, really helpful
I'm very new to stats, so would I be correct if I said for this example, "We should reject the null hypothesis (that the slope is zero) because the slope is 5.971 std. deviations from zero. And anything that lies outside of 3 std. deviations is unlikely. " ?
Thanks for responding so quickly and providing more explanation! I definitely understand it better now.
Thank you, excellent explanation..
thank you for the explanation.
Excellent video and explanationl! Thank you!!
residual standard error IS NOT THE SAME AS mean squared error. Sorry for caps but I don't see a single comment where this is mentioned and this could throw a student off, like it did for me. I had to verify this and I'm glad I did.
@@jonathanbrown9365 OK no worries, I didn't know YT didn't allow links! My bad!
Anything on Logistic Regression?
Awesome explanation
Jonathan Brown I have Data mining exam on 29th November and this is what professor expect us to interpret. You made my day
Nice explanation sir ...
Where can I get this ppt
Thank you so much for replying...
All the best for coming semester..
Please do videos on logistic regression, annova , market basket analysis, clustering as well.
#input data
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Thank you!!
bravo!