Resulting factors are called Second-order factors
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What is factor analysis?</h3>
- Factor analysis is a statistical approach for describing variability in seen, correlated variables in terms of a possibly smaller number of unobserved variables known as factors.
- It is possible, for example, that fluctuations in six known variables mostly reflect variations in two unseen (underlying) variables.
- Factor analysis looks for such joint fluctuations in response to latent variables that are not noticed.
- Factor analysis may be regarded of as a specific form of errors-in-variables models since the observed variables are described as linear combinations of the possible factors plus "error" terms.
- It may help to deal with data sets where there are large numbers of observed variables that are thought to reflect a smaller number of underlying/latent variables.
- It is one of the most commonly used inter-dependency techniques and is used when the relevant set of variables shows a systematic inter-dependence and the objective is to find out the latent factors that create a commonality.
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Answer:
A
Explanation:
The coral reef is experiencing succession, so over time the coral will continue to die off gradually as the zooxanthellae algae leaves the coral polyps.
Answer:
Hawks and frogs. They both compete for the grasshoppers
Explanation:
Answer:
Gravitational force
Explanation:
Gravitational force is the force that attracts an object down to the earth. It’s also the reason why we don’t float on this planet. This force is also why anything that isn’t thrown up must come down.
In space and other planets with little or no gravitational force ,organisms float over there which makes its inhabitation by organisms very difficult.
I believe it would be mesentery