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Correlations between covariates in this dataset were weak.
We find that the statistical correlation between the two datasets is weak at both spatial scales, with short-lived synchronous responses only in the terminal Pleistocene Holocene transition, at the onset of the mid-Holocene climatic optimum (~ 10 7 ka) and during significant transitions of El Niño Southern Oscillation (~ 5 4 ka and 1.2 0.8 ka).
Interestingly, the correlation between seed number in our experiment and a previous dataset are weaker (Table 2), indicating that lines that performed well in our experiment did not necessarily perform well in a previous experiment.
The overlap between the significant results of the distances 0 and the 20 kb datasets was weak; only 198 tests out of 536 (0 kb) and 594 (20 kb) were observed as significant in both analyses, suggesting that the annotation has a substantial contribution to the pathway association results.
A weak instrument is a variable that satisfies the IV assumptions, but does not explain a large proportion of variation in the risk factor, so that the statistical association between the risk factor and the IV in the dataset is 'weak' [Burgess et al., 2011b].
The correlation between genetics and linguistics (r = 0.239) for the full-loci dataset is slightly weaker than that between genetics and geography (r = 0.287).
Abbas is weak and acts weaker.
"Everything is weak.
What is weak?
"Money is weak glue".
The President is "weak".
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com