Sometimes, with two variables, X and Y, you may have a causal relationship which means that a change in one variable, X, will cause a change in the other, Y, but there is no causal relationship in the other direction.
In such a case X is the independent variable and Y is the dependent. For example, if you are studying the age and height of young children, both variables increase together: the older the child is the taller it is. The causal relationship is clear: the age of the child affects its height. Even though there is a clear correlation, the height of a child does not cause it to become older.
Sometimes you can have two variables that are interdependent so that neither is independent. One possible example, from economics, is profit and capital investment. Higher profits should result in higher investment while higher investment should result in higher profits. Which one is the cause and which one the effect?
You can also have a situation where two variables, which are correlated, but neither is dependent on the other: both are dependent on some other variable. For example, in the UK, sales from ice cream vans are correlated with seaside swimming accidents. Eating ice cream does not cause swimming accidents, nor do people who have had swimming accidents console themselves with ice cream. These two dependent variables are associated with the [hidden] independent variable: warm weather (or temperature).
an independent variable is a variable that changes the dependent variable.___________________________________________________Independentvariableis:a factor or phenomenon thatcausesorinfluencesanotherassociatedfactor or phenomenon called adependent variable. For example,incomeis an independentvariablebecause it causes and influences another variableconsumption. In a mathematicalequationormodel, the independent variable is the variable whosevalueis given. In anexperiment, it is the controlledcondition(that is allowed tochangein asystematicmanner) whose effect on thebehaviorof a dependent variable is studied. Also calledcontrolled variable,explanatory variable, orpredictor variable.
dependent variable
A variable whose values are independent of changes in the values of other variables. The factor you are testing.
independent variable
ensity a size dependent shape
The independent variable is the variable that is altered by the scientist, and the dependent variable's value is dependent on the value of the independent variable.
The dependent variable is dependent on the independent variable, so when the independent variable changes, so does the dependent variable.
The independent variable of an experiment is the variable that you change, and the dependent variable is the result of the independent variable.
The Independent variable is the one you control. The dependent variable is controlled by the Independent Variable.
Math: Independent variable is what you change. Dependent variable is what you measure.
independent variable- constants- dependent variable an independent variable is the one to changeand the constants is what u do nuthin to and the dependent variable is what u are trying to find out
If you are doing an experiment to find colour's effect on emotions, the coulour would be the independent variable because it is what you are controlling, and the emotions would be the dependent variable because they are the results.
An Independent variable is what you control; you decide the focus of your experiment and what you control on the independent variable. Dependent variable is what you want to look at or find results for; you decide what you want to see from manipulating your independent variable.
the dependent variable changes based on the independent variable
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.
is dependent on the independent variable
In an experiment, the independent variable is manipulated or controlled by the researcher, while the dependent variable is measured to see the effect of the independent variable. The independent variable is the cause, while the dependent variable is the effect. Changes in the independent variable are expected to cause changes in the dependent variable.