Sentence examples for reflected correlations from inspiring English sources

Exact(4)

Regression dilution ratios broadly reflected correlations between the two studies.

The significance level that was reached mainly reflected correlations found by Kronenberger and Thompson [ 20].

They represented only common subjective opinions obtained at a single point in time in a cross-sectional survey method i.e. they reflected correlations between people not items.

For within area correlations (e.g., V1 to V1), 0 distance coefficients were excluded from the regression since the coefficients reflected correlations between identical timeseries (i.e., mean coefficients were always a value of 1).

Similar(56)

Because some of the displacement or temporal parameters could be correlated to each other, results may in part reflect correlations across measured parameters.

It is assumed here that these correlation coefficients also reflect correlations associated with multiple components in a structure.

Ordinarily, regressions help reflect correlations, but Granger argued that causality in economics could well be reflected by measuring the ability of predicting a certain time series' future values using another series' past value.

For example, the gender is not significant and having mother tongue Quechua is positively associated with cognition, perhaps reflecting correlations between the district and the concentration of indigenous individuals in some districts.

Beck et al. [63] and Teng et al. [15] provided curve-fitted results based on their in-house experimental data, reflecting correlations between knf and several parameters, i.e., volume fraction, bulk temperature and particle size.

A family-wise error (FWE) threshold Pcorr<0.05, corrected for multiple comparisons at the voxel-level, was used to display statistical maps reflecting correlations of brain activation and BMI.

Whole-brain maps reflecting correlations between BOLD signals in the seed and those in all other voxels in the brain were calculated separately for each "word" time series.

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