The answer would be Sputnik 1. This was a Russian space probe launched during the Space Race between the Soviet Union and the United States.
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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Both the pelvis and femur of a whale are called vestigial structures! Another example of this is a human’s tail bone. Hope this helped!
Answer:
B. Gravitropism
Explanation:
I think because gravity makes the roots go down???
The cell goes in a "dormant phase". A good example is the neuron. Neurons are very metabolically active but they don't divide so they go into a phase that doesn't include growth or replication of genetic material.