Does anyone know why we have to use Standard Error of Forecast (Sf) rather than SEE -> Standard Error of Estimate… in a confidence interval calculation?
Pretty sure those two things are not the same.. can’t remember right now.
Yeap :D. I think it must be different.
Normally we use standard error of that parameter to calculate its confidence interval like Xbar +/- sigma/(n)^1/2
As I understand SEE is the standard error of the estimate Y, while we dont use SEE
I am so confused :))
Anyone help me pls