In linear regression and other foms of modelling a dependent variable is a value that you cannot control or you wish to have as the output of the model. In contrast to an independent variable, which is something you can modify or one of the model's inputs. That is the model is effectively of the form:
dependent variables = model( parameters, independent variables )
where one then tries to fit the parameters.
Used on Chap. 7: page 131