To fine the upper and lower bound in the Durbin-Watson test (autocorrelation test) we must have alpha, n, k, and Durbin-Watson Significance Table.
alpha= significance level
n = number of sample
k = regressors / dependent variables
Example:
If you have = 0.05; n = 65; k = 6
We can see Durbin Watson table in the next page, that the upper bound (dU) is 1.805 and lower bound (dL) is 1.404.
DW Conclusion
Less than 1.404 => There is any Autocorrelation (+)
1.404 – 1.805 => There is no conclusion
1.805 – 2.195 => There is no Autocorrelation
2.195 – 2.596 => There is no conclusion
More than 2.596 => There is any Autocorrelation (-)
Rabu, 10 Juni 2009
Langganan:
Posting Komentar (Atom)
4 komentar:
tes 1, 2, 3.
Kayaknya nyimpan kodenya ada yang salah nih, emoticonnya jadi ada di bawah deh;;)
I inclination not agree on it. I regard as warm-hearted post. Expressly the title attracted me to study the intact story.
Good dispatch and this post helped me alot in my college assignement. Say thank you you seeking your information.
:)) :)] ;)) ;;) :D ;) :p :(( :) :( :X =(( :-o :-/ :-* :| 8-} ~x( :-t b-( :-L x( =)) Posting Komentar