This helped me a lot! Appreciate this content very much as my professor assumes that I remember the introduction stats class materials that I took 2 years ago and dive into a depth model while I have totally forgotten what these numbers mean!
Thank you for providing explanations with illustration. Sir, I had one doubt. In one case residual error tells how well model predicts and other case F Statistic tells significance of overall model. Which one is a better parameter for analysis of reliability of model.
How do I find the expected score? I have all of that information, but I want to know what section of all of that I need to look at/ interpret to find an expected score. Thanks for the video!
Jonathan Brown I posted the question along with the r studio formula I was given on my reddit as I was struggling with the question, if you don't mind would you please look there. I just want to make sure I have to do extra steps because my professor never told us that. From what I understood, all I had to do was interpret what he gave me. thank you so much I really appreciate the help! For a respondent who is 30 years old, what is the expected score they would give Trump? www.reddit.com/r/RStudio/comments/5faf6q/for_a_respondent_who_is_30_years_old_what_is_the/
Jonathan Brown I think I understand what you're saying. so I just have to keep the formula the same but add 30 to it (*30)?? do you know what code I have to use to do that? is it the one you wrote *30?
Jonathan Brown well I have a class project due on the 10th that requires me to show my work in r studio so I think this is just practice for that, so unfortunately I guess I have to do it in r studio. I'll look at it tomorrow and do what you're saying, thanks for your help! I was confused about the problem!
so I spoke to my professor and he said I didn't have to do it all on the r studio. I could just multiply the age estimate by 30 and add the intercept estimate. I also have to find the p-value which is 1.66e-09***, and find if its statistically significant at the 0.05 two tailed level. so from what I understand, the p-value is 0.00000000166 and i have to multiply that to get the two tailed test which will leave me with a much lower p-value, which means I reject the null hypothesis? is this correct? Or am i totally missing something? thanks for your help btw
Hello , I want to compute the estimated intercept and slope coefficients of a logistic regression model fitted to the following data (outcome is cancer): Cancer No cancer Smoker 700 200 Non smoker 300 800 Which method , I should adopt as I want to calculate it by hand not by software? I have calculated OR but what should I do next ? I would be thankful, if you can help. Thanks
Awesome, though I needed to look in the book for formulas and Actually those terms SSE, SSM, SST are really confusing as notation differs from book to book.
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YOU ARE ROCKING THIS!! THANK YOU SO MUCH! WE GOT A SCRIPT WITH OVER 150 SLIDES AND YOU MANAGED TO EXPLAIN THAT IN JUST LESS THAN 30 MIN
This helped me a lot! Appreciate this content very much as my professor assumes that I remember the introduction stats class materials that I took 2 years ago and dive into a depth model while I have totally forgotten what these numbers mean!
Where can i get these wonderful slides?
Wow, well explained. Thank you!
Thank you so much!!! U really got me out of a Jam!!! I was totally lost in interpretation of these values, thanks a lot
Thank you for the helpful info!
Thanks for this clear explanation. Easy to understand.
Thank you so so much for making those videos.
Thank you so much, great tutorial.
Thanks so much for this superb explanation!
I have really learnt a lot, thanks so much.
wonderful video helped me in clarifying so many doubts... thanks
I found this very useful. Thank you very much for your detailed explanation !!!
Thank you for providing explanations with illustration. Sir, I had one doubt. In one case residual error tells how well model predicts and other case F Statistic tells significance of overall model. Which one is a better parameter for analysis of reliability of model.
Thank you for explaining the statistical concepts clearly. It is indeed a really helpful for a person who is a novice.
i think u just helped me graduate
thank you so much! Such a great explanation!
Hey, thanks for making this video! It helped clarify some things for me.
Excellent Explanation. Please organize the videos accordingly. Please create playlists.
Thank you so much for the explanation.
Thanks a lot for sharing this video!
Thank you for the detailed explanation. Can you please share the link to download this PPT ?
hey, how can i get the value of the residual standard error by only using the values in the R output?
Hi! Thanks for the awesome video? Was wondering where I could find these slides?
this is the bit that is missing from the stats course we are doing! Ta
Could you please provide your slides? I understand if no. Doesn't hurt to ask. lol
How do I find the expected score? I have all of that information, but I want to know what section of all of that I need to look at/ interpret to find an expected score. Thanks for the video!
Jonathan Brown
I posted the question along with the r studio formula I was given on my reddit as I was struggling with the question, if you don't mind would you please look there. I just want to make sure I have to do extra steps because my professor never told us that. From what I understood, all I had to do was interpret what he gave me. thank you so much I really appreciate the help!
For a respondent who is 30 years old, what is the expected score they would give Trump?
www.reddit.com/r/RStudio/comments/5faf6q/for_a_respondent_who_is_30_years_old_what_is_the/
Jonathan Brown I think I understand what you're saying. so I just have to keep the formula the same but add 30 to it (*30)?? do you know what code I have to use to do that? is it the one you wrote *30?
Jonathan Brown well I have a class project due on the 10th that requires me to show my work in r studio so I think this is just practice for that, so unfortunately I guess I have to do it in r studio. I'll look at it tomorrow and do what you're saying, thanks for your help! I was confused about the problem!
so I spoke to my professor and he said I didn't have to do it all on the r studio. I could just multiply the age estimate by 30 and add the intercept estimate. I also have to find the p-value which is 1.66e-09***, and find if its statistically significant at the 0.05 two tailed level. so from what I understand, the p-value is 0.00000000166 and i have to multiply that to get the two tailed test which will leave me with a much lower p-value, which means I reject the null hypothesis? is this correct? Or am i totally missing something? thanks for your help btw
Jonathan Brown would it be possible if I could send you my homework before I turn it in just to be sure it's correct?
Hello, Thanks for this excellent video. I just want to ask which book you refer here ? Waiting to hear from you.
Thanks
Warm Regards,
Thank you. Its very useful. Nice to connect with you.
Warm Regards,
Hello ,
I want to compute the estimated intercept and slope coefficients of a logistic regression model fitted to the following data (outcome is cancer):
Cancer No cancer
Smoker 700 200
Non smoker 300 800
Which method , I should adopt as I want to calculate it by hand not by software?
I have calculated OR but what should I do next ?
I would be thankful, if you can help.
Thanks
very helpful
Awesome, though I needed to look in the book for formulas and Actually those terms SSE, SSM, SST are really confusing as notation differs from book to book.
Thank you
great
Thank you