Independent variables are values that can be changed in a given model or equation. They provide the "input" which is modified by the model to change the "output."
A scientist studies how many days people can eat soup until they get sick. The independent variable is the number of days of consuming soup. The dependent variable is the onset of illness.
The independent variable is what causes the results.
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Whether or not a particular variable is independent or not depends on the context. For exampl, if studying the population of some species over time, the independent variable is time but when studying how long you have to wait in a bank before seeing a teller, time is a dependent variable.
The independent variable represents the input or causes, or are tested to see if they are the cause.
time
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.
The dependent variable depends on the independent variable for its values as for example in the straight line equation y = 2x+6 whereas y is the dependent variable and x is the independent variable
No. If you are studying waiting time, for example at a bank, the waiting time could be the dependent variable with the number of open windows as the independent variable.