In some practical problems where a principal component analysis is utilized, the use of the variance covariance matrix of an appropriately defined set of variables, rather than the correlation matrix, may be more meaningful. This is illustrated through the analysis of 1984 Olympic records data on various track events. The analysis results in conclusions that are more appealing to intuition and that are also consistent with a retrospective visual examination of the data on certain leading countries in their athletic excellence.