<span>The use of corn to make alcohol is an example of bio-conversion.</span>
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.
<span>Although a star might look brighter than the Sun, a comparison of its absolute<span> magnitude might help prove that they have the same real brightness.
Absolute magnitude is a concept that compares the absolute brightness of celestial objects. The absolute magnitude of an object is defined as the apparent magnitude it would have if it were viewed at a standard distance of 10 parsecs (32.6 light-years) with no dimming of its light. The more luminous an object, the smaller the numerical value of its absolute magnitude.</span></span>
Answer:
it would be C, since an abiotic factor is a non-living thing that helps shape the ecosystem.
Explanation:
If you look at A it lists flowers, which are alive. If you look at B it lists bacteria, which is alive. C doesn't list anything thats alive. D lists insects, which are alive.
