Sentence examples for between these variables using from inspiring English sources

Results are reported as mean ± S.E.M. Two-way analysis of variance was used to test for effects of maternal and post-weaning diets and interaction between these variables using the Prism Software GraphPad Software Inc.., San Diego, CA, USA).

We analyze the relationships between these variables using both traditional and phylogenetic comparative methods and test the hypothesis that larger species have larger clutch sizes, that clutch size and body size may be influenced by climate, and that size-independent effects of climate on clutch size can be detected.

We further inspected the relationship within the structural and functional categories as well as the relationship between these variables using Cronbach α test for internal consistency.

Since the effect of protein sequence identity and intergenic DNA on synteny is not necessarily linear, we also investigated the relationships between these variables using nonparametric approaches, including a generalized additive model (gam) and Spearman's rank correlation.

Although this study confirmed the relationship between these variables using statistical methods, the mechanism for how acute cholecystitis affects the ultrasound diagnosis of choledocholithiasis remains unclear, and further investigation is needed.

To determine the influence of EID on VAS/TTO utilities without adjustment for sociocultural variables for each health state, we assessed the relationships between these variables using Spearman's rank correlation.

A landscape-scale study was conducted in a center pivot irrigated field on the southern High Plains of Texas in 1999 to assess soil water, soil NO3-N, cotton (Gossypium hirsutum L). lint yield, and N uptake variability in the landscape, and to determine the spatial correlation between these landscape variables using a state-space approach.

The following table (Table 5) shows the correlations between the variables used in the basic model.

Subsequently, we tested for correlation between included variables using single linear regression.

The significant difference between samples was computed using the Student's t test and correlation between variables using the Pearson correlation coefficient.

GAM is a flexible regression technique that models nonlinear relationships between variables using non-parametric smoothers.