The dependent variable is what changes because of the independent variable, while the independent variable is what is purposefully changed by the experimenter, since it is the variable that is being tested.
So, in this problem, you are purposefully changing the distance of the race to see whether or not the amount of time taken to complete the race will change because of the varying distances.
This means that purposefully changing the distance of the race is the independent variable that is being tested and that the amount of time that the runner takes to complete the race is the dependent variable because it changes due to the independent variable.
Sorry for being so wordy.
In short,
Independent variable- the one that's being tested and that is purposefully changed.
Dependent variable- the one that changes because of the independent variable.
Hope this helps.
The inner core is made of solid iron, the outer core is very dense liquid of iron and sulfur, The lower mantle is the layer just outside the outer core, the upper mantle is made of large plates that move, the crust is the thin, rigide layer of the earth, the lithosphere is the layer that includes the asthenosphere, and the asthenosphere is the plastic portion of the upper mantle of earth. Hope this helps.
The answer to this question is the "Retrograde Amnesia". When Justine was involved in an automobile accident and sustained a serious and critical injury to his sensitive part of the body which is the forehead. When he is being asked about the accident, Justin could not remember what happened on how the accident occurred. So Justin seems to be suffering from RETROGRADE AMNESIA.
The answer is mRNA. Translation is the process of reading the code in mRNA in the ribosomes to make protein. The ribosome is the organelle responsible for making proteins. The mRNA is translated from the language of nucleic acids (nucleotides) to the language of proteins.
Answer:
Climate models can show the composition of the atmosphere in the future.
Explanation:
Climate models help predict how the average conditions will change in a region and they also serve as an extension of weather forecasting. They are quite broad and can make analysis and predictions over long time spans.
These models are generated from some set of mathematical principles with different data points numbering over a thousand. These large data points help increase the accuracy of the models.
