Thank you for this great series on Multiple Regression...very detailed and thoroughly explained of all important elements in building and understanding regression...NICE!!!
This is an excellent video that provides a fabulus interpretation of multiple regression. I have learned more from this video than from my statistics lecture. I want to thank you for sharing this lecture with us. I also encourage you to do more of this, and if you have a web-page I would appreciate if you could share more of your statistics knowledge. Best Regards.
Assuming that they are random and independently selected is a pretty big leap. :-/ What can be done if they are not randomly and independently selected? :-/
Thanks for the four series on MLR. I have taken five college/university stats courses of which two are based on MLR (one partially one fully). I am repeating a econometrics course this year mostly for review. If this series wasn't on a Canadian related subject I might not have watched it and a woman's nice voice can keep a guy's attention too.
Thank you professor, you have explained in a very effective way. I hope in the future there will be more such videos. One more thing your voice is very charming. I listened repeatedly only to listen your voice.
I saw all 4 videos, there are good but i didn't saw a content specific to SPSS, this can be done on EXCEL (i presume), i wish you make a tutorial on SPSS itself.
This video was very informative. The solutions posted here really helped me to understand multiple linear regression questions. The best part about the method in which the solutions were posted is that if i had a question i could just go back and replay the answer and how it was solved. This is a very effective way of teaching. Thank you for all your assistance. Keep up the good work!!
This is really good and well put together. Great job!
The evaluation of homoscedastic and determining if a funnel exists seems subjective.
In the more advanced linear regression class you also teach, I guess you use the Breusch-Pagan test to verify and test homoscedasticity? (no I dont know the test. Wikid it :)
The assessment of these scatterplots is quite subjective and you could say that there is a slight funnel pattern for the games played vs residuals - so yes, you would receive full marks!
When looking at the games played graph, it seemed to me to have a funnel pattern (as clear as the y pattern except for the fact the bottom of the y pattern is almost a straight line) - if we were to say this violated the homoscadastic assumption - could we add that to our answer and still receive full marks?
Don't you mean both are homoscedastic @ 8:40?
remyrulez 1 month ago
Thank you for this great series on Multiple Regression...very detailed and thoroughly explained of all important elements in building and understanding regression...NICE!!!
nguyenth28 2 months ago in playlist More videos from statsprof
An excellent series of videos. You really helped illuminate the topic. Thank you very much.
josh100ish 9 months ago
This is an excellent video that provides a fabulus interpretation of multiple regression. I have learned more from this video than from my statistics lecture. I want to thank you for sharing this lecture with us. I also encourage you to do more of this, and if you have a web-page I would appreciate if you could share more of your statistics knowledge. Best Regards.
epsidelta 1 year ago
Assuming that they are random and independently selected is a pretty big leap. :-/ What can be done if they are not randomly and independently selected? :-/
Foaman 1 year ago
Thanks so much!! this was very helpful
rExEED1 1 year ago
Thanks for the four series on MLR. I have taken five college/university stats courses of which two are based on MLR (one partially one fully). I am repeating a econometrics course this year mostly for review. If this series wasn't on a Canadian related subject I might not have watched it and a woman's nice voice can keep a guy's attention too.
camlpg 1 year ago
Thank you professor, you have explained in a very effective way. I hope in the future there will be more such videos. One more thing your voice is very charming. I listened repeatedly only to listen your voice.
Thanks
A3berkke 1 year ago
This is Excellent explanation, I hope you do other vedios on panel data regression analaysis.
Thank you
almozar3 1 year ago
Great work !!!
t7dsouza 1 year ago
very helpful, thanks so much. i'm much more confident for my exam today :)
waldmeisterP 2 years ago
thanks, very useful and informative!
sireIeris 2 years ago
thank you so much this is brilliant!
surya17 2 years ago
I saw all 4 videos, there are good but i didn't saw a content specific to SPSS, this can be done on EXCEL (i presume), i wish you make a tutorial on SPSS itself.
Mishkafofer 2 years ago
Very interesting video, could this work with dummy variables? If yes are are any short comings that go with it?
anasserazizi 2 years ago
This video was very informative. The solutions posted here really helped me to understand multiple linear regression questions. The best part about the method in which the solutions were posted is that if i had a question i could just go back and replay the answer and how it was solved. This is a very effective way of teaching. Thank you for all your assistance. Keep up the good work!!
MANAL83 2 years ago
Comment removed
MANAL83 2 years ago
This is really good and well put together. Great job!
The evaluation of homoscedastic and determining if a funnel exists seems subjective.
In the more advanced linear regression class you also teach, I guess you use the Breusch-Pagan test to verify and test homoscedasticity? (no I dont know the test. Wikid it :)
sheguin 2 years ago
The assessment of these scatterplots is quite subjective and you could say that there is a slight funnel pattern for the games played vs residuals - so yes, you would receive full marks!
statsprof 2 years ago
When looking at the games played graph, it seemed to me to have a funnel pattern (as clear as the y pattern except for the fact the bottom of the y pattern is almost a straight line) - if we were to say this violated the homoscadastic assumption - could we add that to our answer and still receive full marks?
nathanlitchfield 2 years ago