"largest correlation coefficient" is a grammatically correct and commonly used phrase in written English.
It is typically used when discussing the strength of a relationship between two variables. The correlation coefficient is a statistical measure that indicates how closely two variables are related. The larger the correlation coefficient, the stronger the relationship is between the two variables. Example: "The study found that there was a significant positive correlation between income and education level, with the largest correlation coefficient being 0.80."
Among these molecules, COX-2, being involved in the chronic inflammation-related development of HCC, correlated with HIF-1α with the largest correlation coefficient (r = 0.708).
Simulated yield considering discontinuous tower dynamics and intra-irrigation meteorological variability has the largest correlation coefficient with the measured corn yield.
For the below example, we assume that the largest correlation coefficient is located at the k-th column of the first row of the matrix.
On the other hand, (C psi ) le rho _{max } cdot U psi )) considering that (rho _{max }) is the largest correlation coefficient.
The variable satisfying this condition and with the largest correlation coefficient in each factor group is the proxy for each influential factor group of international Brent crude oil prices.
When all the correlation coefficients are greater than 1, a conventional shortest path (psi) has a total cost at most (frac{rho _{max }}{rho _{mathrm{{opt}}}} cdot opt), where (rho _{max }) and (rho _{mathrm{{opt}}}) are the largest correlation coefficient and the optimal solution's correlation coefficient, respectively, and opt is the cost of the optimal solution.
However, the largest correlation coefficients for fractal area suggest more relevance of habitat architecture.
These two models exhibited largest correlation coefficients R2 (0.98 for model 3AT and 0.99 for model 6AM), smallest standard errors S (0.02 for model 3AT and 0.01 for model 6AM), and smallest Mallow Cp values (3 for both model 3AT and 6AM) among three models in each group. .
These two models exhibited largest correlation coefficients R2 (0.98 for model 3AT and 0.99 for model 6AM), smallest standard errors S (0.02 for model 3AT and 0.01 for model 6AM), and smallest Mallow Cp values (3 for both model 3AT and 6AM) among three models in each group.
Finally, the 300 probes (SNPs) with the largest correlation coefficients were selected.
Of all the six parameters, COX-2, MMP7 and PDGFRA were the top three factors with the largest correlation coefficients to HIF-1α (Table 3).
