Yes. In fact, in multiple regression, that is often part of the analysis. You can add or remove independent variables to the model so as to get the best fit between what values are observed for the dependent variable and what the model predicts for the given set of independent variables.
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control variables: the things that are not changing.Independent variables: the things that you change.Dependent variables: the things that are changed due to the independent variable
Yes, independant variables are the variables that are changed in an experiment to observe the results, called the dependant variable.
These "variables" are called independent variables or constant variables meaning that they are capable of being changed by the experimenter but are intentionally held the same through each individual experiment.
Independent variables are variables that can be changed in an experiment, while dependent variables are variables that change as a result of an experiment. In other words, independent variables are what you change, and dependent variables are the results of the experiment.
Every time the independent variables change, the dependent variables change.Dependent variables cannot change if the independent variables didn't change.