On 15 Jan 2003 07:09:49 -0800, [EMAIL PROTECTED] (Dennis Roberts) wrote:

>just as an example ... say you had a null hypothesis that the population 
>correlation was 0 ... (this is typical for the null) and ... you had a 
>sample size of about 1000 ... it would only take an r of about .06 ... for 
>you to reject the null ... however, do you think that accounting for .06^2 
>... = ..0036 or less than 1% of the criterion variance ... is enough such 
>that you would be willing to use X (which might be data that is costly to 
>collect) as a predictor of Y?

Agreed. But there might be circumstances where even small
correlations provide important information and justify certain
actions. If the 0.06 correlation comes from a death rate of 
250 out of 500 in one treatment and 220 out of 500 in the other
treatment...

Regards

Michael
.
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