Incase no one told you (which I’m sure they did) regression basically means “how far away are the values or estimates to the real data”. Linear regression is just a straight line approximation (a line of best fit) to those scattered points. Meaning it is the best line to draw to guess what other data might be if you don’t have it. The derivation part is just all this maths to get the equation used to calculate that line of best fit.
Thanks sir.
5:42 you forgot to multiply by 2, that's why at 7:30 you needed to divide by 2.
not necessary and he did a perfect job.
Does linear regression deriviation means the average of the Y values?? Can anyone explain?
Incase no one told you (which I’m sure they did) regression basically means “how far away are the values or estimates to the real data”. Linear regression is just a straight line approximation (a line of best fit) to those scattered points. Meaning it is the best line to draw to guess what other data might be if you don’t have it. The derivation part is just all this maths to get the equation used to calculate that line of best fit.