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: "mutualism" (a type of "symbiosis"/ or "symbiotic relationship" between two organisms; in which each of the two interacting organisms benefits from each other.
Sometimes called. "mutualistic symbiosis" , or "symbiotic mutualism" . ___________________________________________________________
Aerobic cell respiration is roughly 18 times more efficient than anaerobic cell respiration. Your cells require a lot of energy and are dependent on the high efficiency of aerobic respiration. Overall, aerobic respiration converts about 40% of the available energy of glucose into ATP.
