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The dependence of the former on the latter is being examined by the statistical models. So, here in this article, we are going to discuss some important points of difference between independent and dependent variable.
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Definition of Independent VariableAs its name suggests, an independent variable is one which remains unaffected by other variables. Alternately known as the predictor variable, explanatory variable, controlled variable. It is a variable; the researcher has control over its selection and manipulation, i.e. the levels can be changed, or it changes on its own due to circumstances. Moreover, its effect on other variables is measured and compared. Definition of Dependent VariableA dependent variable is a consequence of an independent variable i.e. it is variable that measures the effect of the independent variable on the test units. It is also known as the criterion or measured variable. It is something that the experimenter observes during an experiment and is influenced by the experiment. It is expected to change in response to some other factors. The revised value of the dependent value depends on the independent variable. Key Differences Between Independent and Dependent VariableThe significant differences between independent and dependent variable are explained in the following points:
Video: Independent Vs Dependent VariableExampleSuppose you want to check the height of a normal at different ages. So here the dependent variable is height, while the independent variable is the age, which is going to change on its own. Hence, here the height of the boy is shown on the y-axis, whereas x-axis indicates the age.ConclusionThere can be multiple dependent variables for one independent variable. In a scientific experiment, the independent variables are controlled or changed whereas the dependent variables tend to be measured and tested. An independent variable is the one that does not rely on anything else and hence can be manipulated, while the dependent shows the effect, of changes made to the independent variable. Which of the following variables is the result or effect of the changes brought about by another variable?A dependent variable is the variable that changes as a result of the independent variable manipulation. It's the outcome you're interested in measuring, and it “depends” on your independent variable.
What is a variable that is affected by another variable?Dependent Variable (aka Effect Variable) usually denoted as y, is a variable that is influenced to some extent by one or more other (independent) variables.
What do you call a variable that changes in response to another variable?The dependent variable is the item that responds to the change of the independent variable. The dependent variable depends/changes when the independent variable is changed.
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