Sentence examples for multiple regression described from inspiring English sources

There are three direct paths to the factor which are the same as those found in the multiple regression described in Supplementary table 5 of Additional File 1. Participants who said it was important to help others were more agreeable, less extravert, and were less likely to come from an ethnic minority.

The set of independent parameters used in the multiple regression describe the deterministic and the stochastic character of the incoming flow.

The Additional file 3 presents the results of the multiple regressions described in the previous section.

We performed follow-up analyses to the multiple regression analyses described above with simple linear regressions between the flowering dates of all specimens in each region as well as flowering dates for each species within each region by the range in minimum temperatures, calculated for each specimen.

The LSS for prolonged-release tacrolimus which used multiple regression was described by Niioka et al. [ 13].

Each of the component scores for the first three PCs was analyzed with multiple regression as described for the original data.

The results were very similar to those of the multiple regression analyses described above, except that LDL-C was associated with IHD in the NF group (Table 3).

Then, multiple regression (as described later) allows estimation of the correlation between η and the three life-history variables, while controlling for compositional variation in C and T. Similarly, we also controlled for GC bias, GC skew, and AT skew, where GC bias is defined as (πG + πC /(1 − [πG + πC]); GC skew as exp([πG − πC]/[πG + πC]) and AT skew as exp([πA − πT]/[πA + πT]).

The synthetic vibration model consisted of a mechanical vibration model simulating the physical behaviour of the human body and multiple regression equations describing the above three relations.

Below, each multiple regression analysis is described separately.

These relationships were examined further using multiple regression analysis as described below.