Answer:
Connect the centromere to microtubules. (Option A)
Explanation:
The kinetochore is known as the complex of protein which is disc shape in structure. The structure of kinetochore is divided into three parts: inner region, outer region, and fibrous corona. Each part of the kinetochore works in its own way in the separation of the sister chromatids.
During the process of cell division (mitosis, and meiosis) kinetochore collects on the centromere and allows the chromosome to link with microtubules.
Natural Selection proposes that organisms that are better adapted to their environment are able to survive and reproduce.
Even though these frogs are the same species, their shades of green is what helps them to survive in their habitat. In this case, frogs with a lighter shade of green are able to be seen by predators easier, whereas frogs with darker shades are able to blend in (camouflage) more with their surroundings. After a period of time, due to them being easily seen, lighter-shaded green frogs will die off.
To anseer your question, natural selection would have a gradual affect on the frequency of the alleles. Lighter-green allele frequencies would eventually cut off, and darker-green allele frequencies will increase.
Hopefully the following image will help:
As seen in the image, (please forgive the quality, as I had drawn this on some random kids drawing site on the internet...) you can see the affects of natural selection on the allele frequencies. The brighter-green shades gradually decrease over time, as the darker shades increase.
Hope you find this helpful.
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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Volume= length*width*depth
depth=Volume/(length*width)
d=2500/(40*22)
d= 2500/880
depth=2.841ft hope this answer helps you