standard error of estimate=
square root of sum of squares of difference of y and y hat divided by n-2
how does this become--------->
square root of sum of y square minus a times sum of y minus b times sum of xy and divided by 2
The text book doesn't show progress and just stated they are equivalent.
Would you please show me how to get there?
Thank you everybody in advance,
Judi
yes, it is the least squares line yhat=a+bx.
I don't know what you mean by 'a formula for a in terms of the data ....?'
I have just given those(from the first thread)that two formulas are equal to each other. I want to see how one can become the other.
thanks,
The algebra is quite boring. Consider:
uh? uh? ughhh .....
uh? uh? ughhhh .....
using the normal equations for linear regression
uh? uh? ughhh .....
using the normal equations for linear regression again
uh? uh? .....
.
zzzzzzzzzzzzzzzzzzzzzzzzzzzzz ......... (Dreaming now. Star Wars: .... "Help me Mr Fantastic, you're my only hope. Help me Mr Fantastic, you're my only hope, everyone else hates statistics ......)