Now that we have discussed
the broad aims behind linear regression, let us take a look at how
this is achieved through a pictorial explanation, using the following
simple linear example.
Let us begin with an
example. Say you are an HR researcher. Continuing with the sales example,
you might wish to investigate the predictors of sales
figures among a sales force. Therefore sales is the dependent variable (DV), which you operationalize as average dollars sold per annum. You choose a range of possible predictors or independent variables (IVs), which could be anything relevant, such as salesperson age, education, attitudes, behaviors, economic variables, and the like. Let us just look at ...