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In the Leave-One-Out analysis, grey matter density change only explained 14% of the variance in PIQ; and 33% of the variance in Time 2 PIQ (after Time 1 PIQ had been accounted for).
For PIQ, the measured grey matter change accounted for (i) 20% of the variance in PIQ change and (ii) 13% of the variance in Time 2 PIQ (after factoring out Time 1 PIQ).
In step 2, across all 50 groups, measured grey matter change in the VIQ area accounted on average for (i) 33% of the variance in VIQ change and (ii) 34% of the variance in Time 2 VIQ (after factoring out Time 1 VIQ).
Nevertheless, we can compare the analyses directly by considering the total amount of variance in Time 2 IQ that is accounted for by the combination of grey matter density change and Time 1 VIQ.
The MLP model explains most of the percolation variance in time and space without using any soil information.
For greater accuracy, load effects showing variance in time have been modeled by separating them into two random variables; time dependent r.v.
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Second, we tested which factors (task performance, working memory, cortical thickness) explained additional variance in time-related changes in activity besides age.
RESULTS: The multiple regression models explained 11-29% of the variance in timed task performance.
The difference in age estimates between mitochondrial and Y-chromosome lineages is expected given the wide variance in times of most recent common ancestry between independent genetic lineages and given the different inheritance patterns of the two loci.
Further, we found that age-related variations in SAI explained a substantial proportion of the variance in timed motor tasks assessing processing speed.
The ground displacements are shown in terms of variances in time domain.
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