Independent variables are things we cannot control. Like time, even though Einstein has shown that it is relative, I cannot make time go faster or slower in my world. So time is an independent variable for most (almost all) situations. It can also be thought of as the quantity that is being measured.
Dependent variables can be changed/manipulated by the experimenter. Lets say you want to investigate volume of a gas as compared to the pressure. you might be able to change the pressure (that is what Robert Boyle did) and then measure the volume as it changes.
Control variables -- sometimes a topic has more than just two variables affecting the outcome, so you 'control' or keep one or more of these variables constant (the same) during the experiment so that it does not effect the outcome. Look at the pressure/volume thing. Boyle realized that the amount of gas could not be allowed to change nor could the temperature. Both of these would effect the outcome. So he kept those constant. He made them control variables so the could be ignored.
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Independent variables are variables that can be changed in an experiment, while dependent variables are variables that change as a result of an experiment. In other words, independent variables are what you change, and dependent variables are the results of the experiment.
Every time the independent variables change, the dependent variables change.Dependent variables cannot change if the independent variables didn't change.
Independent variables are those that you change in an experiment. Dependent variables are the ones that you measure in an experiment. Dependent variables are influenced by the independent variables that you change, so they are dependent upon the independent variable. Generally, experiments should have only one independent variable.
They are respectively the ones you control (independent) and the ones you mesure (dependent).
line that measures the slope between dependent and independent variables