The term "dependent variable" will have different meaning depending on whether it is used in the context of a mathematical expression or statistical experiment. As given in the related link:
"In a statistics experiment, the dependent variable is the event studied and expected to change whenever the independent variable is altered."
If we are conducting an experiment, where we believe "A" affects "B", for instance eating a lot of chocolate causes pimples, then "A" , eating chocolate is the independent variable and " B" is the event of getting pimples.
Other definitions exists which convey the same concept. Other definitions may state that the dependent variable is the attribute or property being measured or identified and is the variable that is expected to change with alterations (manipulation) of the independent variable.
See related link.
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the thing being measured
the independent variable is usually assigned to x the dependent variable is usually assigned to y their values will vary because they are variables. that is the definition of variable
A dependent variable is you expect will be affected by some other variable.
The independent variable is the variable which you change. It is not changed by any outside factors and so is independent of them.The dependent variable is the variable which is changed by the independent variable changing and which you measure. It is dependent on another variable.
The dependent variable is located on the Y axis. The independent variable is located on the X. The dependent variable changes in response to the independent variable changing, while the independent variable is the variable that is purposefully changed in an experiment. It's easy to remember -I-ndependent, -I- change.