correlation


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The number of seeds per spike showed significant and positive correlation at phenotypic level with number of branches per plant (0.309), while it had showed non-significant and positive association with plant height (0.106) and days taken to 1st emergence of spike and other characters showed non-significant and negative correlation with days taken to 50% flowering and number of spike per plant at phenotypic level.
Keywords: Spring wheat; Photosynthetic characteristics; Drought resistance; Yield; Genetic correlation; Heritability
The strongest correlation is the negative 0.48 correlation between the GLD and the UUP.
Age had a significant (p<0.05) positive correlation with FRS and negative correlation with BBS.
Significant correlation, p-value <0.001 was found between predicted and actual mesiodistal width of canine and premolars in the entire sample along with terms of gender stratification.
Correlation of one assessment tool with the outcome of the other measuring the same skill is also an important aspect in quality assurance of the assessment (Pande et al., 2013; Collins, 2006; Tarant and Ware, 2008).
[28] developed MCDM strategies based on correlation coefficient and Jaccard similarity measures, respectively in BNS environment.
Just because the uranium components only have geometric difference, the geometry identification is very difficult by the correlation functions simply.
"Spearman correlation analysis revealed that serum levels of insulin were positively correlated with TNF-[alpha] (r = 0.8070, P < 0.05) and IL-1[beta] (r = 0.8270, P < 0.05) and showed significantly negative correlation between serum insulin levels and serum glucose levels (r = -0.7191, P < 0.05) (Figure 5)."
The positive correlation of [Kep.sub.kur] and [iAUC.sub.kur] on DCE-MRI with the Gleason score implies that PCa with a more heterogeneous distribution of contrast back to the blood and overall blood volume is more likely to have higher Gleason scores.
In the process of obtaining the [sup.18]F-FDG SUVR value of the ROIs for interregional correlation analysis, we assumed that brain regions whose [sup.18]F-FDG SVUR values were significantly associated to be functionally correlated; therefore, when [sup.18]F-FDG SVUR value alters in a single brain region, the alteration will affect the [sup.18]F-FDG SVUR values of other brain areas with which it intercorrelates.