In linear regression and other forms of modelling a dependent variable is a value that you cannot control or you wish to have as the output of the model. This is 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 in Chap. 7: page 89