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. Author manuscript; available in PMC: 2020 Jul 29.
Published in final edited form as: Sci Total Environ. 2017 Aug 7;613-614:1498–1509. doi: 10.1016/j.scitotenv.2017.07.119

Table 2.

Logistic regression models on the probability of observing more than one lead action level exceedance (Pb ALE) per 10 surface drinking water intakes upstream of water quality monitoring stations. The models tested median (1992–2012) chloride concentration (mg L− 1), chloride-sulfate mass ratio (CSMR), and Larson Ratio (LR) as predictor variables.

Predictor variable Slope p-Value Accuracya Akaike information criterion
Chloride 0.004 0.461 0.436 57.34
CSMR 1.02 0.037 0.667 51.88
LR − 0.113 0.426 0.538 57.32
a

Accuracy – the sum of true positives and true negatives divided by total observations. True positives are cases with more than one ALE per 10 surface water intakes that have a predicted probability > 0.5. True negatives are the analogous negative case.