jamovi

Hi,

When performin g a Linear Regression, for the Durbin-Watson test, the output returns same DW statistic and autorocorrelation, but unequal p, depending on whether the DV is centered or not.
With verresC=verres-VMEAN(verres)

Except for the p of the DW Statistic, all results are similar, whatever DV is centered or not. I don't know this test very well, but is there an explanation for that?

Sincerely,

Marie

Hi
the reason for a different pvalue of the DW test is that jamovi (rightly) uses a bootstrap method to estimate it, so two different runs would produce two different results (try to run the same model with the same variables again and again and you'll see a change in the pvalue).

okay, very cool, thanks!

If it is bootstrapped, then how many samples?
Because it varies quite significantly