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.
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Answer:
either B or D because at the end Whilst the ultimate outcome of the lytic cycle is production of new phage progeny and death of the host bacterial cell, this is a multistep process involving precise coordination of gene transcription and physical processes.
Answer:
What factors differentiate Earth's atmospheric layers?
A. Pressure and Rate of condensation
B. Radiation deflection and Rate of condensation
C. Temperature and Pressure
<h2>D. Temperature and Radiation deflection</h2>
Convection is the heat transfer used in this transfer.
The answer is studying for a test because you want to feel proud of your performance. Intrinsic motivation means you do something for the sake of your internal feelings/motivation, not based on something or someone external like a paycheck or significant other.
