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<br />Table 2. Parameter estimates and their p-values (in parentheses) <br />for logistic regression modelsa of olfactory inhibition as a <br />function of toxicant concentration, and approximate p-values for <br />goodness of fit of each model. <br />Exposure Intercept <br />Goodness Of <br />Slope Fit <br />24-h exposure <br />copper -4.4479 (0.0001) <br />zinc -13.6353 (0.04) <br />2.8553 (0.0001) 0.1 <br />4.2482 (0.05) 0.2 <br />96-h exposure <br />copper -14.2063 (0.02) <br />zinc -2.6829 (0.2) <br />8.0222 (0.02) 0.7 <br />0.0703 (0.9) 0.1 <br />aIntercept and slope estimates for the logistic regression <br />equation: logit = intercept + slope (logloconcentration). To <br />calculate probability of olfactory inhibition (p inhibition) for <br />24- or 96-h exposure to any copper or zinc concentration use the <br />equation: p inhibition = el°gi` / (1 + el°gi`) <br />33 <br />