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
brainly.com/question/26561565
#SPJ4
The lysosomes are the “garbage disposal” of animal cells , the same process takes place in plant cells in its vacuoles
Answer:
B: Polyermase Chain Reaction
Explanation:
PCR is when we take a segment of DNA and multiply it! We can see that the number of DNA segments are increasing therefore it is PCR. Hope this helps!
Answer:
How much phosphorus does the human body have?
How much phosphorus do I need?
Life Stage Recommended Amount
Children 9 to 13 years old 1,250 mg
Adolescents 14 to 18 years old 1,250 mg
Pregnant and lactating adolescents 1,250 mg
Adults over 19 years of age 700 mg
Explanation:
