Sentence examples for the correlation relationship between from inspiring English sources
Moreover, Mao et al. (2013) investigated the correlation relationship between Twitter volume spike and stock trading, and developed a method to monitor Twitter volume spikes in stock trading.
It is interesting to note that the correlation relationship between Vz-hmF2 is opposite that of Vz-M 3000 F2 Vz-M 3000 F2time and nighttime conditions in each season, conforming the strong anticorrelations botheen hmF2 andaytime00)F2.
The correlation relationship between IRI vertical plasma drift and the F2-layer characteristics are typically low, but there is a significant correlation, R exceeding 0.70, 0.80 and 0.90, typically between Vz and Bo, Vz and Te, together with Vz and TEC during the daytime-nighttime (upward and downward drift).
Wu and Moore [27] investigated the correlation relationship between organisms' environmental conditions and gene distribution in certain functional groups, and attempted to predict the environmental conditions from gene content.
However, the omostic stress resistance have been compared in only a few species, and the resistance capability cannot be quantified, so we cannot analysis the correlation relationship between evolutionary rate and stress resistance quantitatively.
When investigating the correlation relationship between different samples, hierarchical clustering method was used with both Pearson's correlation and Spearman's rank correlation as the distance metrics and using a complete linkage algorithm [ 36, 37].
Bispectral signal processing allows the assessment of the magnitude and phase of the correlation relationships between different harmonics.
Though the metrics for note taking activity for courses with and without instruction are comparable in Table 1, the correlation relationships between the scores of final exams and features of note taking activities have changed due to the note taking instruction that was given.
Causality, and more specifically the nature of the correlation relationships between different stocks, is a critical issue to unveil.
The co-expression network is based upon the correlation relationships between individual genes across a dataset.
Because we know relationships between genes are complex, we cannot assume the correlation relationships between gene pairs will be linear.
