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Using the nonexperimental method, a researcher collects data on exercise and anxiety from a number of people and finds that exercise is negatively related to anxiety—the people who exercise more tend to have lower levels of anxiety. What does this scenario demonstrate?

User Mdadm
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Answer:

Covariation between variable

Step-by-step explanation:

The idea that covariation within a set of variables may be organized in a task-specific way to reduce variance of important performance variables led to the development of a few approaches that share some features with the UCM hypothesis but also differ in important ways. One of them is the notion of goal-equivalent manifold.

This approach is based on a body-goal variability mapping derived from goal functions that link body variables, goal variables, and the environment needed for perfect task execution.

Another related approach is based on mapping a redundant set of elemental variables on task-related variables and on considering variability of task performance as a function of three potentially independent contributing factors: tolerance, noise, and covariation.

User Arku
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Answer:

Covariation between the variables due to the fact that non experimental method enables us to observe covariation.

Explanation: covariance helps us to know the degree at which two variables varies from each other. Covariation helps us to know the degree to which two substance vary together like if a change in one leads to a greater changer in the other, no change at all or even a uniform change and if a change in one variable causes an inverse change or behind-me change( tandem or one behind the other change).it seeks to determine the the relationship between two various as per cause and effect.

User Li
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