The meaning of CORRELATION is the state or relation of being correlated; specifically : a relation existing between phenomena or things or between mathematical or statistical variables which tend to vary, be associated, or occur together in a way not exp
The meaning of PERFECT CORRELATION is correlation for which the Pearsonian coefficient or its equivalent for multiple correlation is 1.
The correlation coefficient is a statistical calculation that is used to examine the relationship between two sets of data. The value of the correlation coefficient tells us about the strength and the nature of the relationship. Correlation coefficient values can range between +1.00 to -1.00. If t...
Although the photoacoustic signals at the two positions are similar, the correlation coefficient between these two signals is very low (−0.6719, Fig. 5(b,c)). This is mainly due to the different time the transducer receives the signal. Eventually, at the position where photoacoustic signal ...
Using path coefficient analysis, the present study was executed to estimate the phenotypic, genotypic, and environmental correlation coefficients between yield and yield-related traits and to determine the direct and indirect effects of yield-related traits on yield per plant. A total of 30 genotypes...
The correlation coefficient r is a measure of similarity used to compare regions of interest in image pairs. In fluorescence microscopy there is a basic tradeoff between the degree of image noise and the frequency with which images can be acquired and therefore the ability to follow dynamic events...
The coefficient is different, which indicates that the hierarchy is not quite exact and that there may be further differences lurking on the scale of superclusters. It is not likely, however, that this will be easily studied, considering the size of the samples and the extreme difficulty in ...
The meaning of CORRELATION RATIO is a number other than the correlation coefficient that measures the degree of correlation between two mathematical variables.
The Pearson correlation coefficient (PCC) method was used to calculate the correlations between two PEIs (e.g., x and y) in R. This method measured the linear dependence between two variables. The PCC correlation (r) (1) and the P values (2) were calculated using the following formulae...
Generally, the closer a correlation coefficient is to 1.0 (or -1.0) the stronger the relationship between the two variables is said to be. While there is no clear definition of what makes a strong correlation, a coefficient above 0.75 (or below -0.75) is considered a high degree of...