Collocation của từ
correlation
These are words often used in combination with correlation.

average correlation.

As is evident, phase 1 exhibits maximum zone average correlation of all the four phases.

bivariate correlation.

First, the association of individual variables with each of the quality of life measures was assessed by the bivariate correlation coefficients.

canonical correlation.

In addition, the analysis provides a canonical correlation, the square of which represents the proportion of between-group variance explained by the predictors.

close correlation.

Therefore, the close correlation between these two key factors would appear to be a function of the musical participation itself.

correlation dimension.

A proper estimate for the correlation dimension is obtained if the estimates converge to some almost constant value.

correlation matrix.

Firstly, in order to determine the most important traits influencing seed yield, path analysis, based on a correlation matrix, was applied to the data.

correlation pattern.

This correlation pattern is quite complex and would be difficult to model with a simple parametric function.

direct correlation.

It is not their goal, however, to establish a direct correlation between sound and iconography.

empirical correlation.

A test of this hypothesis will measure the empirical correlation between dream reports and unconscious, unacceptable wishes disguised in these reports.

high correlation.

The high correlation suggests that education level is indeed a valid measure of political sophistication.

intraclass correlation.

This phenomenon is presumably due to a predominant effect of measurement errors, which artificially increase the denominator of the intraclass correlation in shorter traits.

inverse correlation.

Our experimental analysis on when to argue shows a clear inverse correlation between the benefit of arguing and the resources available within the context.

lack of correlation.

There is no restriction on movement of animals across the state boundaries which may explain the lack of correlation between geographical origin and genetic groups.

moderate correlation.

It could take a moderate correlation in the real world and turn it into a perceived strong correlation.

multiple correlation.

We state the theorem expressing stretched exponential decay of multiple correlation functions.

negative correlation.

In particular, the negative correlation between investment and output, as well as that reported between employment and output, reflect the transition path.

partial correlation.

Partial correlation coefficients controlling for total brain volume were used to examine the relationship between amygdala and hippocampal volumes and demographic, cognitive and clinical variables.

phenotypic correlation.

It is possible to partition the phenotypic correlation between time points in parts determined by common genes, common shared and unique environmental effects.

positive correlation.

These ratios rise at higher educational levels, because of the positive correlation between education and female labor force participation.

rank correlation.

The rank correlation compares the order of the markers with the true order for that group.

serial correlation.

In order to control for serial correlation all equations were estimated with decade dummies.

significant correlation.

However, the data did not show a significant correlation between parasitic intensity and host length.

simple correlation.

A valid objection to the use of simple correlation coefficients is that they do not allow controls for alternate causes.

spurious correlation.

However, in the following the question of spurious correlation will be discussed in a person-oriented framework.

statistical correlation.

The resulting trees were compared via their correlation coefficients, which measure the statistical correlation between the actual and predicted expression level values.

strong correlation.

The basic survey results discussed in section 2 show that there is a strong correlation between water delivery station and overall opinion of quality.

temporal correlation.

The relationship between the partials can then be encoded by the temporal correlation among these neurons.

zero-order correlation.

However, looking at victimization and rejection, the significant zero-order correlation was effectively reduced to zero after controlling for stability in both victimization and rejection.