The best resulted model was consisted of seven variables which were Ss, Me, IVDM, HDcpx, ATS4m, MATS1e and MOR14m.
The design space consisted of three variables, which are CMC, MgSO4 and pH as they showed significant positive effect on cellulase production during analysis of Plackett−Burman statistical design.
The measurement model consisted of seven variables, i.e., the socioeconomic impact of student families, student truancy, years of experience, administrative support, teacher autonomy, and the intentions of math and science teachers to remain in the profession, and the 24 items comprising those variables.
The risk score consisted of eight variables.
The CHAID output yielded an instrument that consisted of six variables and eleven different risk groups.
The final risk score consisted of eight variables and a potential total score of 10.
The third group consisted of nine variables and described some miscellaneous derivative measurements.
Patterns consisted of two variables representing the direction of dissociations: no dissociation (0), numerical advantage (N), or linguistic advantage (L).
First and second groups consisted of ten variables describing horizontal and vertical aspects of grain size and shapes, respectively.
The final logistic regression model consisted of eight variables and included demographics, prior healthcare exposure, disease acuity, and select co morbid conditions.
