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Pearson's r can be viewed as an indicator that describes a linear interdependence between two variables, ranging from −1 to 1.
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These paths represent tradoffs between two variables.
The correlation coefficient, r, measures the extent of the correlation between two variables.
A correlation between two variables (ice-cream consumption and shark attacks) may well be due to a third variable (summer weather).
The shortest pathway between two variables indicates the direct or indirect connection between those two variables along the strongest connection(s), or in other words the 'quickest' way to traverse the network from the one variable to the other.
Remember, a correlation between two variables doesn't mean that one is responsible for the other.
Remember, a correlation between two variables doesn't mean that one is responsible for the other. .
*For interaction between two variables.
x: interaction between two variables.
*Indicates interaction between two variables.
We found slightly stronger associations between residual change in language ability and attention problems at 36 months, both for PLBW and control children, possibly reflecting a trend toward higher interdependence between the two variables over time.
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