Two sets of data that show a relationship is an example of correlation.
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Explanation:</u></h3>
Correlation is the relationship between two sets of data. Correlation in statistics help in determining whether two or more sets of data fluctuate in accordance with one another or not. And if they do, the degree of fluctuation can also be determined and studied.
By determining how one or two variables or data are related to one another, we can understand how to manipulate the values. In correlation, there are following possibilities:
- When one value increases, the other decreased
- When value increases or decreases, the other changes in the same way.
Example of correlation:
The utility of an air-conditioner increases as the temperature in the said area increases.
Answer:
His phenotype would be having dry earwax
Explanation:
Answer:
False
Explanation:
Introns need to be removed precisely because the reading frame will be shifted if removed even single nucleotide too many or leaving an intronic nucleotide in the spliced mRNA .
Extra amino acids will be inserted if large pieces of introns are left in the mature messenger RNA.
In both cases, aberrant protien will be produced if the RNA splicing is not precise, hence they are needed to be removed by precision.
The membrane surrounding the cytoplasm of the cell
