D would be the correct answer
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.
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The answer to this question is b carpel that's the answer
Answer:
All options are correct, that is, they would all be correct for osteoarthritis.
This disease is characterized by being very painful at the joint level, it is degenerative, and mobility decreases over time.
Explanation:
Osteoarthritis is a pathology that is based on the fegenerative destruction of the joints, generating edema and loss of function, that is why it is pain.
The pain is very intense and very marked, that is why it is treated with immunosuppressive drugs and analgesics. (In addition to kinesiology and physiotherapy).
This disease decreases the functional unit and the joint space, generating possible ankylosis, pseudoarthrosis, elimination of lubricating fluid from joints and nodular structures. These nodular structures tend to be more common in the hands and are called by professionals as "drum fingers".
<span>Diffusion. Diffusion is when particles in a highly concentrated area spread out to an area of lower concentration. The membranes of cells are very thin, which allows diffusion of different materials to happen easily.
During respiration, oxygen and glucose concentration in the cell is lower than in the surrounding blood. This causes oxygen and glucose to move into the cell via diffusion. Carbon dioxide is produced inside the cell and this makes the concentration of CO2 higher in the cell than in the blood, so the excess diffuses out of the cell.</span>