Resulting factors are called Second-order factors
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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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Answer:
b if a bananas is grow in direct sunlight it will contain more potassium
The answer is 2) 12 '''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''''
Answer:
b.
Explanation:
Based on the information provided within the question it can be said that from this info the researcher can conclude that Dandelion seed number is a constitutive defensive response to rabbit herbivory. This is mainly due to the fact that Dandelions that have been eaten by the rabbits have produced more seeds, meaning that the Dandelions defense mechanism produces more seeds when attacked in order to prevent the flower's extinction.
