In a second SEM, SDP accounted for the majority of the variance in alcohol problems associated with IMP.
Information obtained from subjects and from informants together accounted for a majority of the variance of the consensus ratings.
While blood seemed to exhibit a homeostatic control of Mn, plasma and urine, with the majority of the variance within subjects, did not.
The obtained CoMFA model showed high predictive ability with q2 = 0.556, r2 = 0.936 and standard error of estimation (SEE) = 0.231, explaining a majority of the variance in the data with four principal components.
Obtained best 3D-QSAR model having high predictive ability with q2 = 0.743, r2 = 0.721, pred_r2 = 0.708 and standard error = 0.346, explaining the majority of the variance in the data with partial least square (PLS) components.
Our results suggest that the majority of the variance in fMRI data is in fact deterministic, and support the notion that the data consist of differing components with differing temporal relationships to visual stimulation.
Based on analyses of large test batteries administered to individuals ranging from young to old, four latent variables, or reference abilities (RAs) that capture the majority of the variance in age-related cognitive change have been identified: episodic memory, fluid reasoning, perceptual speed, and vocabulary.
3D-QSAR performed via Step Wise K Nearest Neighbor Molecular Field Analysis [(SW) kNN MFA] with partial least-square (PLS) technique showed high predictive ability (r2 = 0.7622, q2 = 0.7031 and standard error = 0.3660) explaining the majority of the variance in the data with two principle components.
Behavioral genetic models of the data showed that environmental factors explained the majority of the variance in ToM performance in this sample.
This means that the vast majority of the variance in the 2018 measure can be predicted using 2017 data.
No one factor accounted for the majority of the variance in the model with one factor explaining only 33%[78]].
