The phrase "a medium correlation between" is correct and usable in written English.
It can be used in contexts involving statistics, research, or data analysis to describe the strength of a relationship between two variables.
Example: "The study found a medium correlation between exercise frequency and overall health outcomes."
Alternatives: "a moderate correlation between" or "an average correlation between".
However, only a medium correlation between cracking patterns numerically obtained with detailed finite element models and those experimentally identified were observed, particularly for beams with shear reinforcement.
However, statistical analyses showed a medium correlation between the results of the developed F4-ELISA and virus neutralization test (kappa coefficient = 0.63, P < 0.001), with the relative sensitivity and specificity of 78.05% and 84.91%, respectively, suggesting the potential use of this fragment as an ELISA antigen along with other antigens or monoclonal antibody(s) in a competitive ELISA.
For example, there was a medium correlation between the somatisation scale of the SCL-90-R, BSI, SCL-27, and BSI-18 and the BDI total score (r = 0.49 to r = 0.51).
Values between 0.3 and 0.5 indicate a medium correlation, and between 0.5 and 1.0 a high correlation.
Also, a medium correlation was detected between the ATLAS score and the evolution of cases (r = 0.57, p <0.001).
Only small correlations were detectable between PB and SF or SM (r = 0.145 to 0.154, respectively), and a medium correlation was found between SF to SM (r = 0.263 to 0.424), but these correlations were not significant (P = 0.059 to 0.361, respectively).
There is a positive medium correlation between the perception of icu workers of corporate policies and departmental and between process and Methodology (r = 0.568, p < 0.01), while in the ICU General (r = 0.626, p < 0.01), compared to intensive care Cardiology (r = 0.508, P < 0.01).
Correlations between the craniofacial, cervical, and posture parameters were assessed by Pearson's correlation coefficient r with r > 0.1 denoting a small correlation, r > 0.3 a medium correlation, and r > 0.5 a strong correlation.
Correlation between expression of the different target mRNAs was determined using Spearman's test, in which a value below 0.3 indicated a weak correlation, 0.3-0.7 indicated a medium correlation, and values above 0.7 indicated a strong correlation.
The correlation between hTERT, MYC, and TP53 mRNA expression was analyzed by the Pearson test, in which a value below 0.30 was determined as a weak correlation; 0.30-0.70 as a medium correlation; and above 0.70 as a strong correlation.
There was a statistically significant medium correlation between initial BMP-2 levels and the IKDC Score differences with a Pearson coefficient of 0.554 (p = 0.0003, figure 3), and a significant low correlation of BMP-2 concentrations with the Lysholm Score differences with a Pearson coefficient of 0.378 (p = 0.019).
