Design Of Intercommunication Of Results Of Biotesting And Measuring Of Component Composition Of Water
Abstract
On the basis of the use of large array of experimental data the methods of regressive analysis (incremental multiple regression) are carry out the design of cross-correlation intercommunication of results of biotesting and measuring of component composition of superficial and sewer waters.
It is shown that in each of cases set of meaningful physical and chemical indexes which correlate with data of biotesting, different and depends on component composition of superficial and sewer waters. Checking of equalizations of regression for meaningfulness on the criterion of Fisher showed that they can be considered adequate and considerable.
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