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Analytical methods for testing data were the same asin the Procurement Study (ICPSR 9477). Because the DUFinterviews lasted an average of 2.5 hours and were followed by urinetransfers (see Fig. 1), the DUF interviews were designedspecifically to determine the extent of drug market participation.Because counters were not in place at the time this research wasconducted, none of the DUF interviews collected urine test data. Thisstudy was not designed to test the strength of the relationshipsbetween powder market share and NA's, as was the case withdrug use data obtained during the previous study. Nevertheless,significant relationships were found in the data from the DUFinterviews. We can describe these relationships between drugs andmarket share using three variables: the annual market share ofpowder cocaine, the annual market share of crack cocaine, and theannual number of DUF interviews conducted in two sites, New Yorkand Washington, DC.
NAV's were regressed against the annual market share ofpowder cocaine within the given city to estimate the extent ofthe correlation between NAV's and the market share of powdercocaine (see Table 1). These regression lines have then been graphedto form a regression matrix combining data from the two sites(Fig. 2). In addition, these regression lines have been regressedagainst each other to test the consistency of state and city lawsagainst the state of the powder cocaine market. The regressionresults are summarized in Table 2.
A linear relationship has been shown over the yearsbetween the number of DUF interviews conducted in New York andthe market share of powder cocaine (r2 = 0.68,p-value d2c66b5586