the variable age has discriptive value but not necessarily explanatory value.
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It depends on the experiment. In an experiment, the independent variable is the one whose value is changed by the scientist. The change in the dependent variable is studied to see if it correlates to the change in the independent variable.But because age is only dependent on the passage time, which can't be affected very easily, it's probably the independent variable.
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.
Any variable can be the independent variable. It depends partly on what the dependent variable is, partly on the relationship you are examining. For example, if looking at age and length of children's feet, foot length would be considered the dependent variable. But if looking at foot length and shoe size, then foot length would be the independent variable.
The independent variable.