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The two main variables in an experiment are the independent and dependent variable.
An independent variable is the variable that is changed or controlled in a scientific experiment to test the effects on the dependent variable.
A dependent variable is the variable being tested and measured in a scientific experiment.
The dependent variable is 'dependent' on the independent variable. As the experimenter changes the independent variable, the effect on the dependent variable is observed and recorded.
For example, a scientist wants to see if the brightness of light has any effect on a moth being attracted to the light. The brightness of the light is controlled by the scientist. This would be the independent variable. How the moth reacts to the different light levels (distance to light source) would be the dependent variable.
When results are plotted in graphs, the convention is to use the independent variable as the x-axis and the dependent variable as the y-axis.
The answer is covalent bond
Explanation:
if a trait A exists in 10% of a population of an asexually reproducing species and a trait B exists in 60% of the same population, trait B is likely to have arisen earlier because this trait has been replicating and existing in a higher percentage of the population as compared to trait A.
Hope this answer helps :)
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