Sentence examples for no straightforward correlation from inspiring English sources
One interpretation of the emergentist account of mind is that there are emergent mental kinds that have no straightforward correlation with the kinds identified by neuroscience.
However, no straightforward correlation exist between the corrosion intensity for a given test duration such as the salt-spray camera and the expected life of the coating, since corrosion is a complex process that can be influenced by many external factors.
However, no straightforward correlation between Vd and PM blood/plasma relationship could be found in our study.
However, there was no straightforward correlation between the stress pattern and microtubule alignment; supracellular patterns appeared curved and not following the direction of overall load application.
Thus, there is no straightforward correlation between the levels of TRAIL-R1 and TRAIL-R2 and TRAIL-receptor preference in TRAIL-induced apoptosis.
Common sense would suggest a straightforward correlation between higher speed limits and the risk of accidents, but common sense also suggests -- out West, at least -- that when there's nothing to have an accident with, it's not momentum that matters but simple alertness.
An SFF-type set-up displayed a straightforward correlation between the expected amount of released glucose and the ethanol yields.
It was found that the enhancement of the overall photocatalytic activity towards carbon dioxide reduction can be increased by a factor of 3, revealing a straightforward correlation with the surface states induced by the presence of the doping element.
Since the surface irradiance differed by magnitudes over the days of the measurements, the accuracy of the data varied significantly too, which made a straightforward correlation of the different spectral ranges with the depth maxima difficult.
Here, the paradigm would seem to be that of straightforward correlation: the reason why smoke counts as evidence of fire, but not of impending rain, is that smoke is a reliable indicator or symptom of the former but not of the latter.
Quantitatively, the identification of random contributions can be achieved via a straightforward correlation analysis of subsequent sets of matches (e.g., by comparing the first and the second half of the season).
