An explanatory variable that explains the results is the intended cause. The response variable, or anticipated outcome, responds to the explanatory variables.
According to your predictions, changes in one explanatory variable will occur before any modifications to the response variable. The variables are connected causally, either directly or indirectly. Through a mediator in a connection, an explanatory variable may indirectly affect a response variable. In the case of purely correlative relationships, there are no explanatory and response variables. A response variable may be the cause of both changes, even though changes in one variable are connected to changes in another. Explanatory and independent factors are very similar, but they also differ just somewhat. Research theory holds that independent variables are only subject to manipulation or modification at the hands of researchers and are not anticipated to be impacted by or dependent upon any other variables. If you do a controlled experiment in which you can exactly regulate how much caffeine each participant takes, the caffeine dose is an independent variable. However, the term "explanatory variable" is occasionally preferred over "independent variable" since independent variables can occasionally be influenced by other variables in real-world contexts. It appears from this that they are not truly independent.
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