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.
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The independent variable is the variable that you are curious about, and that you are going to change is some systematic way in an experiment to see what affect your changes make. What you check, to see if there are differences, is the dependent variable. According to your hypothesis, the values of the dependent variable will 'depend' on how you manipulate the independent variable.
The independent variable is the variable that is manipulated. This affects the dependent variable and 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.
Independent variables are those that you change in an experiment. Dependent variables are the ones that you measure in an experiment. Dependent variables are influenced by the independent variables that you change, so they are dependent upon the independent variable. Generally, experiments should have only one independent variable.
They are respectively the ones you control (independent) and the ones you mesure (dependent).
line that measures the slope between dependent and independent variables
independent variable is the one you control. the dependent variable depends on the indepdendent variable (the results). on the graph independent in on the bottom and dependent is on the side