Sentence examples for measurable correlation between from inspiring English sources

Exact(2)

If this were true, he reasoned, there ought to be a measurable correlation between over-all batting success and the distribution of foul balls within counts.

Our results indicate that there is a direct and measurable correlation between degree of environmental enrichment and enrichment-induced exercise, and therefore enrichment-induced exercise could be used as a helpful tool to evaluate the degree of housing conditions and to standardize the EE protocols.

Similar(58)

No matter how normal, cool or good-looking they may be, there is no direct or measurable correlation with their talent.

Hence, features that have no measurable correlation to the target endpoint are removed.

Numerical simulations providing indication of trends, correlation between measurable quantities and determination of detrimental effects, even when qualitative, are welcome, allowing time and costs to be saved as well as the efficiency to be improved when compared with the usual trial-and-error methods.

First, there is no correlation between measurable I2S activity, as determined by routine diagnostic assays, and eventual phenotype [ 33].

However, unlike in CF, a recent study comparing LCI and HRCT scores in a cohort with PCD showed no correlation between these measurable parameters, 39 leading to speculation that the dissimilarities between large and small airways disease in CF and PCD may be one explanation to the different outcomes seen in these two important causes of chronic suppurative lung disease.

To date, investigators have tried to find parametric correlation between different direct measurable parameters such as porosity, depth and permeability.

Also, the relational interpretation allows one to give a precise definition of the time (or, better, the probability distribution of the time) at which a measurement happens, in terms of the probability distribution of the correlation between system and apparatus, as measurable by a third observer (Rovelli 1998).

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

Simulation results also showed that the imputed values and the observed measurable values together yielded consistent estimates for the assumed underlying distribution that were not substantially influenced by the extent of correlation between the two measurements.

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