Sentence examples for linear regression identified from inspiring English sources

Multiple linear regression identified exercise capacity and BMI as significant predictors of BMD.

Stepwise linear regression identified pH (p<0.05) as a covariate for the DNA binding activities in the PFC and MC when 30 subjects were analyzed.

Univariate and multivariate linear regression identified the relation of behavioral intention with each of six psychosocial variables.

Multiple linear regression identified modifiable and unmodifiable factors independently predictive of global quality of life (EORTC-QLQ-C30).

For the average difference on the Likert scale, the adjusted linear regression identified the sequence of optimal formats as ARR followed by NNT, RRR, and POL.

Univariate linear regression identified 11 possible predictors (p < 0.1), only three of which were retained in the final backward multiple regression model (Additional file 4).

In the case of STAT1 (Table 6), we can see that the ridge regression and the L1-norm log linear regression identify very similar motifs.

Three independent stepwise multiple linear regressions identified the most important contributors to overall QOL.

Multiple linear regressions identified gestational age, male sex, number of daily cigarettes, parity and placental infarction, as significant determinants of birth size.

Backward linear regressions identified 15 metabolites independently associated with SBP or DBP 14 metabolites for SBP (R=32%), 7 for DBP (R=21%) with 6 in common (Table 2).

Additionally, Multiple linear regression analysis identified low IgG, high platelets and low IFNα as key predictive factors for fatigue.