What is the difference between dependent and independent variable?

What is the difference between dependent and independent variable?

The independent variable is the cause. Its value is independent of other variables in your study. The dependent variable is the effect. Its value depends on changes in the independent variable.

What are examples of independent and dependent variables?

Independent variable causes an effect on the dependent variable. Example: How long you sleep (independent variable) affects your test score (dependent variable). This makes sense, but: Example: Your test score affects how long you sleep.

What is the difference between an independent variable and a dependent variable?

In science and math, an independent variable is a variable or value that is changed, altered, or entered, while a dependent variable is a variable or value that is being observed. You may manipulate or control independent variable, but the dependent variable cannot be touched and can simply be examined.

What are examples of dependent variables?

The dependent variable (sometimes known as the responding variable) is what is being studied and measured in the experiment. It’s what changes as a result of the changes to the independent variable. An example of a dependent variable is how tall you are at different ages.

What makes a variable independent?

The independent variable is “independent” because its variation does not depend on the variation of another variable in the experiment/research project. The independent variable is controlled or changed only by the researcher.

Which variable is dependent and independent?

In an experiment, the independent variable is the variable that is varied or manipulated by the researcher, and the dependent variable is the response that is measured. An independent variable is the presumed cause, whereas the dependent variable is the presumed effect.