Sentence examples for correlation between variances from inspiring English sources
(3) The correlation between variances of soil moisture and the corresponding mean values were not always significantly positive due to the influence of vegetational type, observational depth, and date.
We found a strong correlation between variances of log(2 -transformed and normalized data: Kendall's rank-correlation coefficient varied from 0.94 to 0.98.
On the other hand, we found a correlation between variance and slope of the M-value curve.
Moreover, a strong and positive linear correlation between variance explained by chromosomes and their length was found, suggesting the presence of a large number of genomic loci mediating weak effects [ 35].
However, no significant correlation between variance in the number of repeats and heterozygosity was detected for di-nucleotide loci with a single STR region embedded in their sequence (Table 5).
Thus the correlation (defined as r) between CL and V, calculated as follows: Extensive correlation between variance terms (e.g., an r value ≥ ±0.8) is similar to a high-condition number, in that it indicates that both variance terms cannot be independently estimated.
The cross-correlation between variance stabilized series is analyzed for sites located in Mexico City.
The correlated factors model is mathematically equivalent to the triangular decomposition, where the variance in each rating is decomposed into A, C and E influences, and the correlations between variance components for each rater are estimated.
A full Bayesian approach [ 29- 31] may be able to assess the confounding between family, cage and polygenic effects by estimating the posterior correlations between variance components, e.g. BUGS [ 32].
This was supported by the high correlations between variance accounted for in consecutive response lags of these two spatial measures and the scores on both hyperactive/impulsive and inattentive clinical dimensions.
Statistical differences between the two groups were evaluated by analysis with t-test; analysis of linear correlation was used to evaluate the correlation between two variances; q-test of analysis of variance (ANOVA) was used to analyze multiple comparison.
