翻译结果1复制译文编辑译文朗读译文返回顶部 The meaning of the "r" correlation coefficient can only be in the range of -1 to +1. If the data obtained closer to +1, indicating that they have a strong positive correlation. On the contrary, if it is closer to -1, to prove that they have...
For example, if the correlation of two fictional assets is 0.2, then they have a weak but positive correlation. On the other hand, if two assets have a correlation of 0.85, they have a strong and positive correlation. Correlation simply measures the movement in prices of different assets —...
Interpretation of correlation is often based on rules of thumb in which some boundary values are given to help decide whether correlation is non-important, weak, strong or very strong. This article shows that such rules of thumb may do more harm than good, and instead of supporting interpretati...
Correlation is usually defined as a measure of the linear relationship between two quantitative variables (e.g., height and weight). Often a slightly looser definition is used, whereby correlation simply means that there is some type of relationship betw
Closer to -1:There is strong diversification between the two assets, as the investments move in opposite directions. There is a strong negative correlation between the two variables being analyzed. Closer to 0: There is moderate diversification between the two assets, as the investments have no ...
Cox PA, Elmqvist T, Pierson ED, Rainey WE (1991) Flying Foxes as Strong Interactors in South Pacific Island Ecosystems: A Conservation Hypothesis. Conserv Biol 5:448–454. https://doi.org/10.1111/j.1523-1739.1991.tb00351.x Cox PA, Richer R, Metcalf JS et al (2009) Cyanobacteria and ...
The correlation coefficient is always between -1 and +1. The closer the correlation is to +/-1, the closer to a perfect linear relationship. Here is how I tend to interpret correlations. -1.0 to -0.7 strong negative association.
Consumer spending and GDP have a strong positive correlation, and it is possible to predict a country's GDP based on consumer spending (CS). Using the formula for abest fit line, this relationship can be approximated as: GDP = 1.3232 x CS + 10447 ...
Additionally, the per image microglia density demonstrated significant correlations among the automatic count and all observers with stronger correlations in Resting microglia images (Fig. 5). The following represents the total cell counts: Validation: Observer A/B 1263/1380 cells over 10 images. ...
In addition, the TG: HDL-C ratio was also increased in our overweight subjects and this parameter is a known independent determinant of increased arterial stiffness23. An elevated TG: HDL-C ratio has also been shown to have a strong correlation with fasting plasma insulin concentrations and ...