[@sum1sw]

Great video, thank you for it. After a regression is performed and I have the estimate of the parameters (say a, b, and c), I would like to calculate some some call "the standard deviation" of the parameter for each parameter. It is allegedly a measure of how meaningful the parameter is. Any idea how I can calculate that? And, is that the same thing as the "bivariant"? - I hope you can help me - thanks

[@bhavikupadhyaya972]

Sir my textbook said the formula denomiator is N-2

[@ZainKhan-xx6np]

how to get Y prime ? The predicted Value, how do you get it.

[@silverophelian877]

Good video but could have gone into more detail or went a bit slower for those who are new to all this

[@theotiendesfamily]

wrong formula. where is the degree of freedom in the denominator?

[@mohammedmalikhamid6571]

ok

[@yazansalileh9012]

how we calculate y bar ?????????????

[@Jasmineokoro]

Sum/add all the numbers in the Y column
Then count (not add) how many numbers are in the Y column (the mean)
Assuming you’ve added all the numbers in Y column and it’s 1110
And you’ve counted the numbers in the Y column and it’s 5.
Divide 1110 by 5 and you will get your Y bar.
You use same method to find X bar.

[@Jasmineokoro]

I dropped this answer for students that might want it.

[@robinranjitkar5538]

sorry. if u discribe like these n 1 else understand ....non other me

[@natewade5010]

I hate Stat

[@ANUPKUMAR-jd9ke]

uselesd

[@courtenyclark]

sorry but none of that made anyyyy sense