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
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Answer:
<em>The answer is </em><em>A</em>
Explanation:
<em>Because each part of Earth does have its natural resources.</em>
<em>Not all the places have the exact same resources to make medicine for example they have to adapt to their surroundings and make the most out of it, or if they have the option they could import some ingredients for the medicine.</em>
<em>So basically The answer is option A each place has different kinds of resources and advantages.</em>
<u><em>Hope I Helped</em></u>
Answer:
Cells from the cheek are a type of epithelial cell, similar to skin. ... They can be seen faintly even at 40x (scanning power), but the most dramatic images are at 400x where the nucleus is clearly visible as a dark spot in the center of the cell.
Explanation:
Tamilnadu, Punjab, are the most famous places in India where cattle farming are done.
Either number 1 or number 3.
Bahahaha I don't even know.
sorry
