The correlation coefficent r t =0.95 represents a strong correlation effect among the transmit antennas since the corresponding correlation matrix has the eigenvalues [ 3.7568, 0.1627, 0.0506, 0.0300] with the very large condition number 125.2267.
The R2 value of a linear fit to this data was 0.9934 and represents a strong correlation between the replicates.
* lci = lower confidence interval **uci = upper confidence interval Based on the loadings in Table 4, a graphic approximation of correlations between CAM categories is presented in Figure 2. CAM categories are shown as vectors where a small angle between vectors represents a strong correlation between categories and an orthogonal angle represents independence between categories.
A correlation coefficient value ≤ 0.35 is generally considered to represent a weak correlation, 0.36 to 0.67 to represent a moderate correlation and 0.68 to 1.0 to represent a strong correlation with coefficients ≥ 0.90 representing very strong correlations [ 15].
A ρ-value ≥ 0.5 is considered to represent a strong correlation; 0.35 to 0.5 a moderate correlation; and 0.2 to 0.34 a weak correlation [ 16].
Consistent with the criteria reported by Portney and Watkins [ 33], Pearson correlation (r) coefficients above 0.75 represent a strong correlation, and the values ranging between 0.50 to 0.75 suggest a moderate correlation.
Although these data represent a strong correlation between Bmpr-1a expression and BMP sensitivity, the mechanism underlying the varying osteogenic potential of different cell lineages may be more complex.
Each edge represents a strong (Spearman's rank correlation coefficient r2 > 0.6) and significant (p-value < 0.01) correlation between node-pairs.
In this study, we chose the cutoff value of correlation coefficient as −0.9 for miRNA-mRNA correlations and −0.8 for miRNA-protein correlations, both of which represent a strong negative correlation.
As a result, a strong negative correlation between the scales on the different instruments represents a strong positive relationship.
In this sense, must it have a strong correlation with times of hardship and difficulty?
