Sentence examples for multiple dependent variables from inspiring English sources

This approach is analogous to the principal component analysis with multiple dependent variables that represents various similar historical snapshots.

Significant differences of regression slopes across environmental gradients in replicated data for gene copy numbers were analyzed as a multiple linear regression (multiple dependent variables, one independent variable).

Relationships between sets of multiple dependent variables are analyzed with CCA (Darlington et al. 1973; Hair et al. 1986; Levine, 1977; Tucker et al. 1980).

The present study examined the CPFE on PD17 and PD23 by analyzing multiple dependent variables, including fecal boli and an ethogram covering the complete behavioral repertoire of the rat.

These results indicate that preweanling rats are capable of acquiring contextual conditioning, even in a context lacking explicit odor cues, and highlight the importance of multiple dependent variables for analyzing the ontogeny of memory.

MANOVA was chosen based on the recommendations of both Pallant [29] and Tabachnick and Fidell [30] that it is the most appropriate procedure to use when conducting analyses of variance with multiple dependent variables (DVs) as it can be used to detect which DVs are influenced by the manipulation.

PLS regression was used to determine the relationship between multiple dependent predictor variables (GC and APCI data) and the maturity/age of cheese.

The specification of Eq. 5 in multiple outcome dependent variables for same sets of exogenous variables lends itself to the use of the multinomial logit model and the maximum likelihood estimation technique (Damodar 2004).

In addition, SPSS MANOVA (for repeated measures) will be used to explore the simultaneous impact of the treatment on multiple correlated dependent variables, including the use of Roy-Bargmann stepdown F-tests and discriminant function analysis as post hoc tests to identify subsets of outcome measures affected [ 35].

Table 7 Result of multiple comparisons Dependent Variable (I) where (J) where Mean Difference (I-J) Std.

The system is nonlinear and has multiple dependent and independent variables thus, it is difficult to obtain a mathematical model that describes the relation of geothermal fluid characteristic and inhibitors and with this reason, a fuzzy controller may be good option to resolve it in geothermal systems.