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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its to hard but you can answer this
Answer:
Origin and Insertion
Explanation:
The origin is the point of attachment of a muscle that remains relatively fixed during contraction.
The insertion is the point or mode of attachment of a skeletal muscle to the bone or other body part that it moves.
Answer:
I believe the answer is D
<span>Chlorophyll is any of many closely related green pigments found in cyanobacteria and the chloroplasts of algae and plants, and the function of it is that is absorbs energy from light.</span>
