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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Pour each into a separate container and heat them both up to 100 degrees Celcius. The one that boils is water.
You should do the original number (84) multiplied by the percentage (60) and then divide it by 100 to get it as a percentage of the original number:
(84 × 60) ÷ 100 = 50.4kg
Therefore, your answer is 50.4kg :)
Answer:
Pons. A deep part of the brain, located in the brainstem, the pons contains many of the control areas for eye and face movements.
Explanation:
please give me brainlist and follow
The answer is d which is set of facts because science is facts
