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.
If changes in one variable do not affect the outcome of another variable, then the second variable is independent. A variable that is not independent is dependent.
Its the independent one; because you change it, the dependent variable will be affected.
An independent variable is the one that you change in the experiment. A dependent variable is the one that you measure, it changes depending on the independent variable.
A dependent variable is one that changes based on changes of the independent variable. Or we can say it depends on whatever happens to the independent variable.
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.
If changes in one variable do not affect the outcome of another variable, then the second variable is independent. A variable that is not independent is dependent.
Dependent Variable - Note the root word DEPEND. So a dependent variable is when on variable depends on/affects the other.
The independent variable is the one that you change to observe how it affects another variable, known as the dependent variable. By manipulating the independent variable, you can study its impact on the dependent variable and establish a cause-and-effect relationship between the two.
The dependent variable is the one that changes.
The Independent variable is the one you control. The dependent variable is controlled by the Independent Variable.
A dependent variable is one in whose experimental or analytical value is determined by the value of the independent variable. An independent variable is not determined by any other variable, but rather is an input value. For example in the equation y = 3x y is dependent and determined by the value of the independent variable x
The dependent variable is the one being tested in an experiment. It is the variable that is measured or observed to determine the effect of changes in the independent variable. The independent variable is manipulated to see its effect on the dependent variable.
A dependent variable increases when an independent variable increases in a direct relationship. This means that as one variable increases, the other variable also increases.
mean
Independent variable is one that does not vary with respect to other variables while other variables called the dependent variables varies with the variation of the independent variable. for ex: if 'x' is is an independent variable that represents say 'time' lets take another variable the dependent like volume(v) . now we say the volume (v) varies with respect to time and not the other way. so, here 'x' is independent variable & 'v' is dependent variable
Its the independent one; because you change it, the dependent variable will be affected.