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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Hey there,
<span> (1 m)/(25 m/s) = 0.04 s
</span>
Your correct answer would be 40ms.
~Jurgen
Alright, so the highest temperature at which water is most dense id 4 degrees Celcius, if it gets lower than that, water would start to expand. So at 5 degrees, it would just be rain.
Answer:
It releases carbon dioxide and decreases Earth's supply of oxygen. It absorbs oxygen, thus decreasing Earth's oxygen supply
Explanation:
