14.2 Simple Linear Regression Testing for Significance

[@asifahmed1801]

Thanks a million Professor. after a week of searching materials on web, finally i found your lesson made me understood .

[@AlexB-gk1no]

At the 7:30 minute in slide the formulas for SSE and SSR need to be switched around.

[@juliozimbron6488]

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!

[@Iknowthings1019]

Thank you sooo much for these videos about Linear Regression

[@easymatheducationalandictc1376]

Very impressive teaching... Thanks...

[@barbie-wg1zi]

hello Plz how do you get the MS column?

[@How_About_This428]

Do you know the professor Van-Sang NGO ?

[@growlife4779]

Why was df n - 2 and not n - 1????

[@trungtranang4018]

d.f that is: n-k-1 ( k is number of coefficient we are estimating)

[@emodoabram8604]

Voice ed content, , ask me what more am looking for

[@simkort5799]

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..?

[@simkort5799]

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 kzbin.info/www/bejne/bXLVnnWMe5eXedU&ab_channel=StatQuestwithJoshStarmer

[@syedmurtazaali6459]

thanks

[@EdDy_Psalms]

So comprehensive . 😢

[@عموگرجی]

👌👏👏👏👏👏👏👏