Sentence examples for between variables were demonstrated from inspiring English sources

Differences between variables were demonstrated using box-and-whisker plots, and regression analysis results were presented using scatter plots.

Significant differences between variables were demonstrated by one-way analysis of variance and post hoc comparisons between the five stages of renal function were performed using Tamhane's T2 test for multiple comparisons.

A central composite design (CCD) coupled with response surface methodology (RS M was employed to obtain the optimum process conditions and the interactions between process variables were demonstrated and elucidated.

Again, no significant interactions between categorical variables or between categorical and continuous variables were demonstrated, implying the relationship between 24hUNa and mortality was independent of BMI, age, sex, and the type of antihypertensive therapy or achieved level of blood pressure control.

No significant interactions between categorical variables or between categorical and continuous variables were demonstrated in the model implying the relative hazard associated with sodium intake was uniform regardless of the presence and severity of hypertension, CVD, CKD, and other risk factors.

No statistically significant differences between treatment groups in any primary or secondary efficacy variables were demonstrated in any trial.

These variables were demonstrated to be correlated (Table 3).

A significant interaction between both variables was demonstrated, showing that High TL was a protective factor when there was not anaemia (HR: 0.5; CI95%: 0.3 0.8).

A weak positive correlation between the two variables is demonstrated.

While in Blair's original study, mortality was related to the CRF assessed at the beginning of the follow-up period, the cause-effect relationship between these two variables was demonstrated more strongly by a prospective study with two fitness assessments of 9,777 men (16).

The relationship between the response and independent variables was demonstrated using a response surface plot.