Sentence examples for multiple correlation of from inspiring English sources

In our re-analysis, we found that the reliability-corrected multiple correlation of their measures with personality and intelligence was up to.69.

Secondly, by analyzing the multiple correlations of two-dimensional fluorescence spectra with the excitation wavelength of 220 nm, it is found that the multiple correlation of original spectra is stronger than that under wavelet decomposition.

In Table 5, the SMC (squared multiple correlation) of travel behavior, which is a function of sociodemographics and land use (or only sociodemographics), shows that for both weekdays and weekends, the SEM models better account for variations in total travel time than for those in trip frequency.

The squared multiple correlation of functional limitation was 0.65, suggesting that impairments explain 65% of functional limitation's variance.

The multiple correlation of these four predictors with parent satisfaction was R = 0.72, which explained 52.3% of the variance (corrected R) of parent satisfaction.

The multiple correlation of these four predictors with patient satisfaction was R = 0.61, which explained 36.4% of the variance (corrected R) of patient satisfaction.

Based on affinity propagation (AP) clustering, RReliefF, and sequential forward search, the ARSFS is proposed to select the significant subset of original feature set and to reduce the dimension and multiple correlations of the feature space.

The squared multiple correlations of the final structural model indicate that intrinsic motivation explained 35.2 % of the variance in L2 listening strategy use, while intrinsic motivation and L2 listening strategy use together contributed to explaining 23.5 % of the variance in L2 linguistic knowledge.

Multiple correlations of individual lipid species were analyzed by the method of PCA.

Standard statistical analyses including paired t-test to determine significance of prophage induction events and multiple correlations of all measured parameters were performed using MiniTab release 13.1.

The squared multiple correlations of the dependent variable indicate that the model explains approximately 50% of the variation (r =.504) in 1-year EWL.