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.
To Learn more about factor analysis from the given link
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Answer:
Many activities of human alter the availability of water in ecosystem.
Explanation:
We know that water is an essential item for daily use and development works. Water is required for different development processes.
Although, the drinking of water is foremost work, but human beings utilize water into agricultural practices, industries, cleaning activities etc. These activities of human beings alter the availability of water in an ecosystem. Thank you
Explanation:
When it gets to the it grows warmer and some of the ices heat up and become gas (sublimating), relaying the dust grains that were trapped in the ice. The dusty gas coming from the nucleus is heated by the sun and for,a a glowing hit cloud around the comment called coma.
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Answer:
Explanation:
bone is awalys thivk and heavy