There is the mathematical use and statistical use of the word "dependent" as explained on the related link. The mathematical use is a dependent variable is the outcome of a function with one or more independent variables. The statistical definition in the setting of an experiment, is similar, it is a variable which is expected to be affected by changes in independent variables. Example: If I don't eat (quantity of food- independent variable), I will be hungry (dependent variable). I will not have as much energy (second dependent variable). But nothing is perfect in experimentation. The circumstances of the experiment with numerous unknown relationships may cause unexpected results. In observational studes, with typically less control, variables can be hypothesized (or conjectured) to be related, i.e. global warming causes artic ice to melt, and artic ice melting leads to more global warming. This would also be called a feedback effect. I can produce a dependent series of numbers from an independent series. If I take a series of random numbers of size N which come from a given distribution, and rank them from low to high , with n = 1 for the lowest and n = N for the highest, the ranks become dependent variables. A change in one value could affect the rank of another variable. I have included some more information on dependent variables. See related links.
Chat with our AI personalities
It does not have to. It is simply a study where two variables have a joint probability density function. There is no requirement for both variables to be dependent - one may be dependent on the other (which is independent).
Every time the independent variables change, the dependent variables change.Dependent variables cannot change if the independent variables didn't change.
If there are only two variables, then the dependent variable has only one variable it can depend on so there is absolutely no point in calculating multiple regression. There are no other variables!
Dependent variable is the variable that can be measured. However, the independent variable is the variable that changes in the two groups.
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.