Resulting factors are called Second-order factors
<h3>
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:
Option D.
Explanation:
The above answer given is incorrect. Nucleotides consist of a phosphate group attached to a pentose sugar, with 5 carbons, (deoxyribose sugar in the case of DNA) and the pentose sugar is also attached to a nitrogenous base. DNA is incorrect as nucleotides are the building block of DNA hence DNA is NOT a component of nucleotides.
Make/produce and secrete hormones
Answer:
Tropical dry Climate: The weather is sunny pretty much all year. The ocean + the sun allows a tropical place to be great for growing food. Things such as coconuts and mangoes can be found. Its a great place to vacate because of the sunny climate, also clients will fall in LOVE with the warm beaches. Some activities would be to surf, sunbathe, and study the natrual habitat. The animals are also very interesting. Monkeys and chameleons would be great temporary pets to take care of.
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