Sentence examples for multiple regression in from inspiring English sources
Correlations were tested using the group-level multiple regression in SPM, with each performance measure being regressed voxel-by-voxel onto corresponding contrast images (e.g. ambiguous-unambiguous). Results were subject to the same statistical thresholds as one-sample t-tests.
The response surface regression yielded the best result, followed by the multiple regression, in modeling the geochemical data from the test area.
REM and NREM sleep times were tested against each structure volume and corresponding volume of the remaining brain with multiple regression in PGLS.
We first removed the effect of PC1 from the original raw landmark data used to create the above common cichlid morphospace using a multiple regression in the program Standard 6 [9].
Cigarette smoking among Tsimane and U.S. shows results contrary to standard prediction: higher tobacco consumption is associated with lower SBP and DBP (Table 5), but smoking loses significance among Tsimane in the multiple regression in Table 4.
† Factors were entered in this final multiple regression in the following blocks: 1. Socio-demographic 2. Clinical3.
In each of these cases, the results we present are therefore derived from multiple regressions in which body mass was included as an explanatory variable.
The multivariate approaches employed have included variations of multiple regressions, in some cases focusing on a few variables and in others assessing a broader range of predictors.
In the assessment of the measurement model, SEM has been proven to have more advantages than multiple regressions in evaluation the model fitting.
Analysis was based on hierarchical multiple regressions, in which PMI and LFT were entered as dependent variables; the three goal orientations were entered as independent variables.
The relationship between shame-proneness and attempted suicide within the patient sample was examined with simultaneous multiple regressions in men and women separately, controlling for age, level of depression, borderline personality disorder, and substance use disorder.
