The Absenteeism and Its Statistical Significance and Interpretation in the Workplace
The below information contains the factors that influences absenteeism in the workplace that we are dealing with in this practical. The regression standard format that we will also provide with these factors helps us to understand technically these factors and to make a clear meaning of these factors economically. The randomly selected sample of 100 (one hundred) companies are going to help us to save time and money to actually use it as an estimate for the entire companies (population). This is the estimate of a regression model to examine the factors that influence employee absenteeism. The data was collected from 100 randomly selected companies. The key definitions are as follows.
Y = Average number of days absent per …show more content…
The separate XY scatterplots, in the Appendix, show that the relationship between Y and all the X 's is consistent with economic theory although all the relationships appear to have very weak linear relationships. The average employee wage (X2) as well as the percentage of part time employees in a company (X3) shows weak negative non linear relationship, and the percentage of unionized employees in a company (X4) shows a weak positive linear relationship. As the average employee wages (X2) increase the incentive to work harder decreases. Employees earning lower wages tend to take fewer absent days and work harder than those earning higher wages. As the percentage of part time employees (X3) increase in can be seen, in the scatterplot, that the average number of days absent per employee (Y) decreases. Part time workers have more of an incentive to work harder than full time employees, therefore it is expected that average number of days absent per employee (Y) should decrease as the percentage of part time employees increases. As the percentage of unionized employees in a company (X4) increases it can be seen, from the scatterplot, which the

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