Answer:
There are five major causes of extinction: habitat loss, an introduced species, pollution, population growth, and overconsumption.
 
        
             
        
        
        
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:
The second portion of the nucleotide is the sugar. Regardless of the nucleotide, the sugar is always the same. The difference is between DNA and RNA. 
Explanation:
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Answer:
What does GGTCAATGCCATAAG into mRNA mean?
Explanation: