The phrase "and a poor coefficient" is correct and usable in written English.
It can be used in contexts discussing statistical analysis, mathematics, or any situation where coefficients are relevant, particularly to indicate that the coefficient in question is not favorable.
Example: "The model's predictive power was diminished by the inclusion of irrelevant variables, resulting in a poor coefficient."
Alternatives: "and an unfavorable coefficient" or "and a low coefficient".
A statistical study of the inter-relationship between fluoride and calcium concentrations for low fluoride range (Table 2, Fig. 1) showed a poor coefficient of correlation (dolerites/basalt dykes, rhyolites n = 12 and r = − 0.08) but data presented in Fig. 2 suggest that many of the waters may be at or approaching equilibrium with respect to fluorite.
Ayral et al. [ 1] reported a poor coefficient of reliability (0.27 0.73) based on a review of the grading of cartilage lesions made by nine surgeons.
The SF6 resulted in large coefficients of variation (ranging from 16.0 to 111%) for CH4 emissions and a poor relationship (coefficient of determination = 0.17) between CH4 emissions and DMI, likely because of limited barn ventilation and high background gas concentration.
The analysis of age, MVD, TS and VEGF, considered as continuous variables, showed no correlation between any of the markers, with the exception of a significant direct correlation between TS and age, albeit with a very poor coefficient (rs=0.16) (data not shown).
Problems associated with methods 2 and 5 include multiple amplicons (PCR products) in some assays and inefficient PCR, a poor correlation coefficient, and larger Ct values with TC1507 maize.
Four items had a moderate to good kappa coefficient, and four items had a poor kappa coefficient.
Of the 96 items, five (5%) had an excellent kappa coefficient, thirty (31%) had a moderate to good kappa coefficient, and 61 items (64%) had a poor kappa coefficient (including the 15 items of which we set negative variance components to 0).
A straight-forward application of the linear regression method in Equation (2) to association mapping with large J can cause several problems such as an unstable estimate of regression coefficients and a poor interpretability due to many irrelevant markers with non-zero regression coefficients.
However, pseudo-first-order and intraparticle diffusion plots have poor coefficient of correlation (Table 7).
