10-24-2016 02:00 AM
A company suspects that the number of sick days taken by a particular employee is dependent on the employee’s work load and the number of public holidays within each month. Human Resources have compiled data on the number of sick days taken by this employee per month for the last three years.
Variable Name Description
Month The month in which the sick leave was taken
Year The year in which the sick leave was taken
WorkDays The number of working days in the given month/year
PubHols A dummy variable indicating whether there were any public holidays in the given month/year 0 No 1 Yes WorkLoad A normalised variable, centred at zero, measuring the work load of the employee, relative to the average, in the given month/year
SickDays The number of sick days taken by the employee in the given month/year
The company has asked you to assess whether there is any evidence to support their suspicions that the employee is choosing to take sick leave based on his work load and/or public holidays.
What is the most appropriate model to use in this setting?
I am very confused this, how to get there
10-24-2016 02:06 AM
This is a statistical methodology question and not a SAS question.
It's also clearly a homework question.
Heres a table that can help to narrow down your selection. A common restriction is what you've learned in class.
Determining the type of analysis is the hardest part of Analytics.
10-24-2016 02:18 AM - edited 10-24-2016 02:19 AM
proc logistic data=mydata.sick descending;
model sickdays=workdays workload pubhols / link = glogit aggregate=(workdays workload) scale
I used this code to try to get answer, data fits well but the coefficient of the model are not significant, i just stuck.