Explanation :
Manipulated variables are frequently used in scientific experiments or theoretical research. This method evaluates the change in the results obtained by modifying a given independent variable’s value. By analyzing these changes the person in charge of the experiment can conclude what’s the degree of influence of this variable over the element or phenomena being studied. The manipulated variable experiment is designed to understand the cause-effect relationships between the elements being studied, but in order to identify and try out a manipulated variable there has to be a research or an hypothesis that backs the idea that this variable has a correlation with the dependent variable (the one that the experiment is trying to predict or study). Of course, in order for this to work, the person performing the experiment has to be able to control the input of the manipulated variable.In a nutshell :
- Manipulated variables are variables in a statistical model that are changed or determined by their relationship with other variables.
- Manipulated variables are dependent variables, meaning they correlate with other factors—although it can be a positive or negative correlation.
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