An independent variable is a variable that isn't affected by something else. A dependent variable is a variable that's affected by changes in the independent variable.
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The independent variable is what you measure and the dependent variable is what you change
It means that they are not supposed to be together.
The independent variable is the thing that stays the same throughout the problem.
The independent variable is the variable that the scientist controls and can change in an experiment. There should be only one independent variable in an experiment; otherwise the cause-and-effect of the independent variable cannot be determined.The dependent variable is the variable that is affected by the independent variable.EXAMPLE:Students of the same age have been given different sleeping hours (the independent variable)The next day they are tested for their performance (the dependent variable).(Having students the same age is a third type of variable, called the constant variable or the control variable. It is deliberately kept the same to reduce any effects on the outcome.)
An independent variable is exactly what it sounds like. It is a variable that stands alone and isn't changed by the other variables you are trying to measure. For example, someone's age might be an independent variable.