$($e$)$ Analyze the absenteeism based on education levels. Do certain education levels correlate with higher or lower absenteeism$?$

$($f$)$ Which variables show the strongest correlation with absenteeism time in hours? How might these influence your logistic regression model?

$($g$)$ Are there any unexpected correlations or findings that challenge common assumptions about workplace absenteeism$?$

$($h$)$ Does service time $($duration of service in the company$)$ have any impact on the absenteeism rate?

$($i$)$ Examine if day of the week has any influence on absenteeism $-$ are certain days more prone to absences$?$

$($j$)$ Identify any outliers in the data set. What could be the reasons for these anomalies, and how might they affect the analysis?

Note: Generally, an approach in choosing the features to use in a model is to use your EDA