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Furthermore, only Social Phobia accounted for unique variance in the three Medical Outcome Study Health Survey MOSsubscalesles relevant to quality of life.
The first three elements stand for variance in the three parameters of the distribution (life expectancy, disparity, skewness), and the next three elements indicate covariance between each pair of the parameters.
The first component represented the gene expression signature with a score of 64.59% of the variance in the three groups.
These measures were strongly inter-correlated (r>0.55), thus we achieved dimension reduction by a principal component analysis that produced a single axis to describe the male's interest towards the control and the experimental breeding situation, separately (explained variance in the three measured behaviours: control situation, 77% experimental situation, 79%).
A single component (PC1) was extracted, and it explained 87% of the variance in the three color components.
As illustrated in Table 3 all the models, although significant, explained very little variance in the three psychosocial outcomes as indicated by the R values.
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These four robust QTLs explained altogether 29.2% and 62.2% of the total phenotypic variance in the two QTL crosses, respectively.
It is clear that the first two factors taken together account for the majority of the total variance in the six variables.
Three markers on SSIIa, SSIIaSNP2, SSIIa-IF and SSIIa-F, could explain 6.57 ~ 18.96 % of the phenotypic variance in the six environments.
The test statistics and associated p-values for the overall analysis of variance in the two experiments are given in Table 5.
Factor 1 accounts for 32.466 % of TVE and is responsible for 71.6 and 61.8 % of the variance in the two respective variables.
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