Sentence examples for four sets of variables from inspiring English sources

The four sets of variables related to the strategy, results, customer, and economics, as identified above, can provide a framework for establishing the proper metrics and detailed data gathering.

We allocated the different constructs to the two forms of the questionnaire in such a way that responses from only half the students to each of the four sets of variables were retained, resulting in missing information on this set of variables from the other half of the student sample (see Table 1 above).

Four sets of variables were processed: 1st = sex and age; 2nd = education and employment status; 3rd = the social support variables; and 4th = the physical health status variables.

The PC3 loading obtained for every four sets of variables (CWM, CDTA, Na2CO3 and KOH) had significant positive value corresponding to 1,100 cm-1 (cellulose) and to 951 cm−1 (pectins), but in the case of the second wavelength its value decreased to zero in the last residue (KOH) (Fig.  11).

First, we define a canonical problem form called graph form, in which we have two sets of variables and related by a linear operator, such that the objective function is separable across these two sets of variables.

For data processing and analysis, a custom software (Matlab; MathWorks, Natick, MA) was used to compute two sets of variables.

The remaining two networks map from the canonical variates back to the original two sets of variables.

Canonical correlation analysis (CCA) is widely used to extract the correlated patterns between two sets of variables.

When tested for prediction skills, the NLCCA outperformed the CCA when the two sets of variables contained correlated nonlinear structures.

Put simply, if there is a strong relationship between two sets of variables (say a group of companies' sales growth in two different periods), plotting the points on a graph like the ones shown here produces a straight line.

Second, we proposed a conceptual diagram for a better understanding and a visual representation of the relationships between the two sets of variables.