Sentence examples for best correlation between two from inspiring English sources

The best correlation between two data sets is found when the solar wind dynamic pressure as well as variations of the total solar irradiance (i.e., level of the solar UV radiation) is taken as the space parameters.

In this study, the kappa FLC showed the best correlation between two assays for all specimens, followed by the κ/ λ ratio and the lambda.

There is a reasonable correlation between peak cTnT and peak cMyC (see Fig.  6, R = 0.3, P < 0.0001) which compares favorably with the best correlation between four high sensitivity cTn assays applied to a healthy population (R = 0.08) [ 2].

Since S1P slightly increased and apoM slightly decreased upon increasing the centrifugation speed and time, the best correlation between the two parameters was seen after centrifugation of plasma at 1000 g for 10 min or 2000 g for 10 min, which are suitable standard protocols for analysis of apoM and S1P plasma samples.

In this study, in order to identify the best correlation between the independent variables and the EWL, two feed-forward MLPs were used, one for non linear mapping of variables (x) into a single score u, the other one for linear mapping of EWL (y) into a score v.

Of the three metals, arsenic leached to the greatest extent and was found to have the best correlation between the batch and the lysimeter experiments.

There was a good correlation between the RPKM values for the two RNA-seq experiments and the microarray data (Additional file 1: Figure S1), with the best correlation observed between the two RNA-seq based approaches.

The correlation coefficient, r, measures the extent of the correlation between two variables.

When statisticians measure correlations, a "1" is a perfect correlation between two trends, while a "minus 1" is a perfect inverse correlation.

Correlation between two groups was determined by analysis of Pearson's correlation coefficient.

The null hypothesis of the linear correlation testing is: there is no linear correlation between two variables.