Great video, thanks for sharing your knowledge and gift for teaching. One problem I had was to interpret a negative t value... you can guess where this is going. I guess you can address that here quickly. All the best to you!
Shouldnt yi - yhat be the unexplained variation? You are measuring the gap between the linear line and the y sample, it is the gap between reality and measurement, which is the unexplained part..?
i was watching StatQuest video, and around min 19 there is an explaination regaring this. I think the diff between the y and estimated y is unexplained variance instead of explained variance ruclips.net/video/7ArmBVF2dCs/видео.html&ab_channel=StatQuestwithJoshStarmer
At the 7:30 minute in slide the formulas for SSE and SSR need to be switched around.
Why was df n - 2 and not n - 1????
d.f that is: n-k-1 ( k is number of coefficient we are estimating)
Thanks a million Professor. after a week of searching materials on web, finally i found your lesson made me understood .
Do you know the professor Van-Sang NGO ?
So comprehensive . 😢
Great video, thanks for sharing your knowledge and gift for teaching. One problem I had was to interpret a negative t value... you can guess where this is going. I guess you can address that here quickly. All the best to you!
Thank you sooo much for these videos about Linear Regression
Voice ed content, , ask me what more am looking for
Very impressive teaching...
Thanks...
hello
Plz how do you get the MS column?
thanks
👌👏👏👏👏👏👏👏
Shouldnt yi - yhat be the unexplained variation? You are measuring the gap between the linear line and the y sample, it is the gap between reality and measurement, which is the unexplained part..?
i was watching StatQuest video, and around min 19 there is an explaination regaring this. I think the diff between the y and estimated y is unexplained variance instead of explained variance
ruclips.net/video/7ArmBVF2dCs/видео.html&ab_channel=StatQuestwithJoshStarmer