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try doing a scattergram of your two variables. It should look much more like a cloud than a line. "Anon." wrote: > Chia C Chong wrote: > > > > I have 2 random variables (X and Y). The covariance,c was found equal to > > 20.2006 and their correlation coefficient,p was 0.0245. > > > > From the statistical book, if their c=0, means that X and Y are uncorrelated > > i.e p=0. However, in my case, c is quite large but p is extremely > > small...So, what justification could I said with this kind of data?? > > > It measn the variances are large. If s_A is the standard deviation of > A, then > > p_XY = c_XY/(s_X*s_Y) > > So for your data, s_X*s_Y = 824.5. This is why we use p, it's re-scaled > so that the variances are 1, so we can compare correlations of variables > with different variances. In this case, p looks very close to 0. > > Bob > > -- > Bob O'Hara > Metapopulation Research Group > Division of Population Biology > Department of Ecology and Systematics > PO Box 17 (Arkadiankatu 7) > FIN-00014 University of Helsinki > Finland > > tel: +358 9 191 28779 mobile: +358 50 599 0540 > (Yes, I have finally joined 21st Century Finland) > fax: +358 9 191 28701 email: [EMAIL PROTECTED] > To induce catatonia, visit <http://www.helsinki.fi/science/metapop/> > > It is being said of a certain poet, that though he tortures the English > language, he has still never yet succeeded in forcing it to reveal his > meaning > - Beachcomber --------------D8246F46A01791942B12542B Content-Type: text/x-vcard; charset=us-ascii; name="Arthur.Kendall.vcf" Content-Transfer-Encoding: 7bit Content-Description: Card for Art Kendall Content-Disposition: attachment; filename="Arthur.Kendall.vcf" begin:vcard n:Kendall;Art tel;work:301-864-5570 x-mozilla-html:FALSE adr:;;;;;; version:2.1 email;internet:[EMAIL PROTECTED] fn:Art Kendall end:vcard --------------D8246F46A01791942B12542B-- ================================================================= Instructions for joining and leaving this list and remarks about the problem of INAPPROPRIATE MESSAGES are available at http://jse.stat.ncsu.edu/ =================================================================
