Question

Suppose you work in Management and are collaborating with Human Resources to create a regression equation to predict turnover (people quitting their jobs). You believe that job satisfaction (as measured on a 50-point scale), age of the employee (in years), and the current unemployment rate will all be useful predictors and you want to test your model. When building the Complete 2nd Order Model, you will need to do all EXCEPT which of the following:

Answer 1

We can actually deduce here that when building the Complete 2nd Order Model, one can do all except: C. Create an interaction between age and each of the levels of job satisfaction.

What is Complete Second Order Model?

The complete second degree (order) model is actually known to be a polynomial model that includes the linear terms, second degree terms and the interaction term.

The options that complete the question are:

A. Create a curvilinear term for job satisfaction

B. Create an interaction between unemployment rate and age

C. Create an interaction between age and each of the levels of job satisfaction

D. Create a curvilinear term for age.

Thus, options C is the one that wouldn't be carried out in the Complete Second Order Model.

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