Case: Performance Management

Most aspects of workers$$performance fall into the domain of the human resources or personnel department. An important performance measurement is the attendance record of each worker. Personnel managers need to know what factors are likely to influence a worker to be absent more frequently than the norm. This can enable the manager to determine whether someone should be hired in the first place. once hired, the manager needs to be able to influence workers$$attitudes and performance.

Absenteeism is a serious employment problem in most countries. It is estimated that absenteeism reduces potential output by more than $10\%.$Two economists launched a research project to learn more about the problem. They randomly selected $100$organizations to participate in a $1-$year study. For each organization, they recorded the average number of days absent per employee and several variables thought to affect absenteeism$.$The following data were recorded:

Absent: Average number of days absent per employee

Wage: Average employee wage

Pct PT: Percentage of part$-$time employees

Pct U: Percentage of unionized employees

Shift: Availability of shiftwork $(1=$yes; $0=$no$)$

UM Rel: Union$$management relationship $(1=$good; $0=$not good$)$

Data is attached in images

Question is below

A$.$ Using the test of individual significance, decide the statistical significance of the explanatory variables. Clearly state which variables are significant and which ones are not.