Sentence examples for necessary correlation from inspiring English sources

If additional testing is not feasible, use the following approach to develop the necessary correlation.

As I told the writer of the post, there is no necessary correlation between historical accuracy and dramatic quality.

I also believe that there is no necessary correlation – especially in an extraordinary life – between the conspicuous public events and the deeper personal instincts and motivations that uniquely define each of us.

I disagree with the Court's rigid interpretation of the necessary correlation between a burden created by development and a condition imposed pursuant to the State's police power to mitigate that burden.

Sexual experience has no necessary correlation with sexual imagination, and neglect of this basic distinction is the second most exasperating thing about Carole Seymour-Jones's "Painted Shadow: The Life of Vivienne Eliot, First Wife of T. S. Eliot, and the Long-Suppressed Truth About Her Influence on His Genius" (Doubleday; $35).

The best-known, biggest-selling and most-established of these branded skin-whiteners goes by the disingenuous name of Fair and Lovely, as if there were a necessary correlation between the two conditions, with a range of slogans, including "the power of beauty".

Such an information is stored in a large number of tables with relational behavior, in order to maintain the necessary correlations between the different data entries.

We present a method and necessary correlations for simulating the part-load operation of a typical CCGT plant in a commercial simulator (e.g. GateCycle).

It's this level of big data-driven personalisation that Owen-Jones says has previously only really been the domain of a major e-commerce technology player like Amazon or similar large-scale grocery stores who are able to find the necessary correlations to make inferences.

For the simple estimation of calibration curve Y2, only a few parameters are necessary: the correlation coefficients R1 and R2; the correlated responsivity offsets CRO1 and CRO2 from the blank measurements; and the fitting parameters s1 and o1 of the responsivity function in matrix B1.

The transformation is necessary, because correlation coefficients are not normally distributed, so that standard least-squares statistics cannot be applied directly.