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The relationship between dependent variable and independent variable?

A dependent variable depends on the other factors while an independent variable does not depend on the other factors.


What are some facts about independent and dependent variable?

An independent variable is a variable which, in the context of the experiment or the observations, can affect the dependent variable but is not affected by it. By contrast, the dependent variable is affected by changes in the independent variable. It is quite possible that there is no independent variable, as such, and each variable affects the other.


What are the differences between independent and dependent variables?

Independent variables are controlled or manipulated by the researcher to determine their effect on the dependent variable. Dependent variables, on the other hand, are the outcome or response that is measured in an experiment. The independent variable causes a change in the dependent variable.


Why do you need to keep all other conditions the same between an independent variable and a dependent variable in an experiment?

So no other variables influence your results.


What the differences between the independent variable and dependent variable?

An independent variable is a variable which stands independent and is unaffected by other variables. A dependent variable is a variable which is a response to the independent variable, and is usually the factor that is being tested in an experiment.


Is the independent variable the one that does not change?

No, as the name Variable implies, it can and does change. Since it is 'Independent' its change is not a direct effect of the change of any other Variable. Additionally, the independent variable depends on the dependent variable.


On a graph of two variables which is the variable that causes changes in the other?

The independent variable causes changes in the dependent variable; the dependent variable is contingent on the manipulations of the independent variable.


What variable depends on or responds to the independent variable?

The Dependent Variable (Y).The dependent variable. When two variables have a relationship with each other (independent and dependent), it is called a function. Usually, the independent variable is x and the dependent variable is y, although this can be switched around depending on the data.


What does dependent and independent mean in math terms?

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


What are dependent and independent variable in algebra?

the dependent variable is the y-value. the dependent variable means it relys on another variable for its answer. without the other variable this variable would not exist. the independent variable is the x-value. the independent variable can exist on its own without the dependent variable. i mention x-values and y-values... this is only if you are using an x and y value for your application. there are other applications... like speed... where the dependent variable for speed would be time and the independent variable for speed would be distance. and for acceleration the dependent variable would be speed and the independent variable would be distance.


What is the independent variable and dependent variable in Algebra - X is and Y is?

Any variable can be declared as the independent variable, then the other would be the dependent variable. However, it is quite common to arbitrarily define y as the dependent variable - a variable that depends on x.


What is the difference between the independent and dependant variable s in an experiment?

The independent variable is the variable that is purposely changed or manipulated by the researcher. The dependent variable is the variable that is measured or observed as a result of changes in the independent variable. In other words, the independent variable causes a change in the dependent variable.