All of the above should be the answer since mutation is is a change of the DNA sequence that are resulted from DNA copying mistakes made during cell Division, or even exposure to ionizing radiation
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
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Explanation:
1] ADAPTATION : WE HAVE BEEN ADAPTING A DOG AS A PET.
2] BIODIVERSITY : BIODIVERSITY IS THE VARIABILITY AMONG LIVING ORGANISMS FROM ALL SOURCES INCLUDING TERRESTRIAL, MARINE, AND OTHER AQUATIC ANIMALS
3] ISOLATION : THE PROCESS OR FACT OF ISOLATING OR BEING ISOLATED
4] VARIATION : DIFFERENCE BETWEEN ORGANISMS OR PLANTS
SO, THIS IS YOUR ANSWER
0K
explanation:
0 kelvin (273 degrees celsius)
Hypothesis and conclusion
