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.
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.
Explanation:The All-Africa Peoples Conference was conceived to represent the position that Africa should be returned to the peoples and groups, such as ethnic communities, from who it was grabbed by colonialism. The idea was mooted in Accra, Ghana, in April 1958 by John Kale from Uganda.
