As evidenced in Table 5, many of our variables are significantly correlated with one another. Thus, we use a logistic regression analysis to assess the association of each of our variables, after controlling for the other variables we examine To avoid the influence of outliers, we rank each of our continuous variables into deciles, and use their decile rank (0 to 9) in the regression. We also include indicator variables to control for the industry in which each firm operates. Because we have two measures for size and profitability" we first present limited regressions with one measure of each. In the final column, we present a complete regression with all available measures.