Sentence examples for variables in figures from inspiring English sources

Linear regression analyses treating the patient visits as independent variables (in Figures  6 and 7) yielded essentially the same conclusion when compared to using the GEE model for repeated measures (data not shown).

The remaining variables in Figure 1 will be explained as required in the following sections.

Key to Individual Variables in Figure 5E Listed left to right.

Means of IH were graphed against selected structural and behavioural variables in figure 2 to illustrate the relationship between variables.

All auxiliary variables in Figure  1 have moderate correlations of r=.5 to X1, X2, Y and all Z. Figure  1a displays the results of the CC analysis.

We chose the order of explanatory variables in Figure 4 to illustrate what would happen if all pollution is taken away, leaving only temperature as a risk factor.

As the scatterplot of these reciprocal variables in Figure 2 shows, we can see that the correlation is not very high.

The reduction in CPD (n=205 DLPFC neurons) for each of the decision variables in Figure 1C as a consequence of including PC1/2 is shown, by subtracting it from a control model that included two noise components (PC101/102).

Consequently, the old model predicted increasing oscillations, first at short timescales (ATP, TCA variables in Figure 4) and later at long timescales (growth), until an instability occurred at day 95.

In model 1, variables used in Figures  2 and 3 were used as dependent variables (age, high blood pressure, hypertensive drug use, smoking status, eGFR quartiles, UAER quartiles).

The resulting "cluster tree" (dendrogram) shown in Figure 8 is constructed from the dynamic variables described in Figures 3 – 6, S8, and S10– S10.