Sentence examples for between two variables indicates from inspiring English sources

A right angle indicates that two variables are completely uncorrelated; zero or 180 degrees between two variables indicates complete positive or negative correlation.

Arrows in a path diagram represent suggested dependencies between variables, and absence of an arrow between two variables indicates that these variables are considered statistically independent in the model.

However, positive correlation between two variables indicate that one variable will increase or decrease with respect to other changes and negative correlation between two variables indicate one variable will increase when other will decrease and vice versa.

Associations found between these two variables indicate a need to incorporate the elements of defense mechanisms and coping styles in relapse prevention counseling.

It is clearly seen that there is a positive and stable relationship between the two variables, indicating that the assumption adopted in the model is supported by the data.

In general, the results suggest a small inverse correlation between the two variables, indicating that as the number of teachers' misconceptions increase, students' post-instruction BEL Survey mean index scores decrease and, as the number of teachers' misconceptions decrease, students' post-instruction BEL Survey mean index scores increase.

There is a correlation between these two variables indicating that well-tuned cells tend to be located within the linear zones, while broadly tuned cells tend to be located near the pinwheels.

The interaction between these two variables indicated that the probability of occurrence of this species was highest in smaller streams and shallow habitats.

When ϕ = 0 there is no association between the two variables, indicating that the two levels of replicability in the two continents under study were consistent (e.g. a replicability of 70% in European and 70% in East Asian populations).

Regression analysis failed to show significant associations between these two variables indicating that the plasma EBV DNA load was not a marker of tumour stage [ r2 = 0.012; F(1,76) = 0.935, p = 0.337].

In addition, statistical analysis revealed a significant interaction effect between the two variables, indicating that the combination of increased duration of exposure and higher DCA concentrations causes a more severe decline in cell health than changes in either variable alone (p < 0.037).