Sentence examples for correlation figures from inspiring English sources

Exact(2)

As the highest correlation figures found between the three items regarding lack of time and the other investigated questions and background variables were all below 0.300, other factors than those studied here must have influence on the physician's experiences of time pressure.

In addition, the distribution of mutations along the hypermutated X chromosome is very similar to the distribution observed on X in males of the same tumor type (e.g., for B cell lymphoma r = 0.64, p < 2 × 10−16, Pearson's product-moment correlation; Figures S4B and S4C).

Similar(58)

The inter-subject k 3 correlation (r2; Figure 3A) was significantly lower than the intra-subject correlation (Figure 2A).

Correlating whole blood MxA levels to IFNscores showed a significant positive correlation (figure 2E).

SQ layer thickness also demonstrated a correlative relationship with impedance (Figure 4A), while dermal echogenicity showed a less robust correlation (Figure 4B) and perimuscular echogenicity showed no correlation at all (Figure 4D).

The three-dimensional spectral correlation figure, which represents cyclic frequency, frequency and spectral correlation strength simultaneously, is developed to express the demodulation results clearly.

Analogously, Figures 7C and 7D also illustrate a significant negative correlation between the average outgoing connectivity of the proposed TFs and the overall impact of the viral infection measured as Pearson's correlation (Figure 7C: r = −0.789, 6 d.f., P = 0.019) and as MI (Figure 7D: r = −0.927, 6 d.f., P = 0.001).

Figures 7A and 7B show the expected negative and significant correlations between the number of proposed alterations, using the scoring function based only in TFs, and the overall impact of the viral infection measured as the Pearson's correlation (Figure 7A: r = −0.890, 6 d.f., P = 0.003) and as the MI (Figure 7B: r = −0.800, 6 d.f., P = 0.017).

Interestingly, we computed high and significant correlations by using the Pearson's correlation (Figure 7E: r = −0.936, 6 d.f., P = 0.001) or the MI (Figure 7F: r = −0.900, 6 d.f., P = 0.002) as measurements of impact of the viral infection in transcriptome.

Second, the crack surface area and UCS have yielded an excellent correlation (Figure 11B).

A scattergram of the N222 and I226 data at the same points highlights the absence of a clear correlation (Figure 5: correlation coefficient R = 0.17).

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