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R-square values indicative of correlation were obtained for three grain size-related traits (GL, 0.640; GW, 0.542; and LWR, 0.735), but correlation was low for KGW (R2 = 0.260) (Fig. 1).
The presence of a spot indicative of correlation of scalar coupling in the 2D-COSY spectrum confirms the link from the polymer sample with its glycosidic portion.
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This is indicative of correlations in the discovery process of PPIs – discoveries involving particular proteins tend to arrive in bursts with their corresponding short time intervals.
A correlation coefficient ≥ 0.30 and ≤ 0.70 was considered to be indicative of moderate correlation, and a correlation coefficient ≥ 0.70 was defined as substantial or a good correlation.
Coefficients less than 0.3 in absolute magnitude were considered indicative of weak correlation, between 0.3 and 0.5 moderate correlation, and greater than 0.5 as strong correlation.
The calculated intra-class correlation coefficient was 0.6, indicative of substantial correlation.
Item-total correlations ≥ 0.40 and small (< 10% increase) alpha-removed statistics were considered indicative of sufficient correlation with the underlying trait [ 34].
Values of closer to + 1 or − 1 are indicative of higher correlation between the two variables, whereas values of closer to 0 are indicative of a lower correlation (Pallant, 2013).
The third combination can be an indicative of mutation correlation, whereas the other two combinations may be uncorrelated or not strictly correlated.
This pathway emerging as the top canonical pathway is therefore indicative of a correlation between cellular lipid homeostasis and the inflammatory molecule that may possibly underlie the pathogenesis of several diseases.
Such findings are indicative of gene environment correlation (rGE)—a relationship between genotype and environment.
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