For discriminatory power, the two EQ-5D-5L indices were simultaneously regressed on a health indicator in a bivariate regression model.
A bivariate regression analysis was implemented to examine the relationship between brand attitude and purchase intention.
Bivariate regression analysis of UV spectrophotometric absorbance data allowed in vitro resolution of RIF and INH release at simulated gastric pH.
A forward bivariate regression model including Part A of the Trail making test, and the UPDRS-ADL subscale predicted 66% of the variability of the constant k.
A new index has been elaborated based on the bivariate regression of balances and their standardised residuals, which was particularly useful to identify and separate the sources of anthropogenic contamination and geogenic enrichment of respective elemental associations.
We introduce a parsimonious approach to nonstationary flood frequency analysis (NFFA) based on a bivariate regression equation which describes the relationship between annual maximum floods, x, and an exogenous variable which may explain the nonstationary behavior of x.
Bivariate regression analysis of Africa's surface topography shows that this is a complexly folded surface with regionally elevated areas in southern and eastern Africa, and a topographically low northern and western Africa.
Open image in new window Fig. 3 8 year window rolling bivariate regression coefficient of real-time potential growth (assessed in t+1) with the following imbalance indicators (95%% confidence interval).
Despite this limitation of only using bivariate regression analysis, however, and as will now be seen, the findings that result are meaningful regarding the validity of the different hypotheses.
Using the dataset compiled for Bertocchi and Dimico (2015), based on the household sample, in Table 3, I run a simple bivariate regression where polygyny enters as the dependent variable while the trans-Atlantic slave trade enters as the regressor.
Correlations were determined with a bivariate regression analysis.
