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PROC GLM Example: Linear Regression with Dummies

Absenteeism . Data on 77 employees of the ABX Company have been collected. The dependent variable is absenteeism (ABSENT). The possible explanatory variables are COMPLX = measure of job complexity SENIOR = seniority SATIS = response to "How satisfied are you with your foreman?" In this example, use SENINV = 1/SENIOR, which is the reciprocal of the seniority variable, and COMPLX as two of the explanatory variables. The variable SATIS should be transformed into indicator variables (1 is very dissatisfied, 2 is somewhat dissatisfied, 3 is neither satisfied nor dissatisfied, 4 is somewhat satisfied, 5 is very satisfied). Q1 . Is there a difference in average absenteeism for employees in different supervisor satisfaction groups? Q2 . Using the model chosen, what would be your estimate of the average absenteeism rate for all employees with COMPLX = 60 and SENIOR = 30 who were very dissatisfied with their supervisor? What if they were very satisfied with their supervisor...