Question 1
##
## Pearson's Chi-squared test
##
## data: table(hr$salary, hr$left)
## X-squared = 381.23, df = 2, p-value < 2.2e-16
There is a significant relationship between salary levels and
employees leaving.
Salary levels are linked to whether employees leave the
company.
Question 2
##
## Pearson's Chi-squared test
##
## data: table(hr$Department, hr$left)
## X-squared = 86.825, df = 9, p-value = 7.042e-15
There is a significant realationship between depatment and employees
that left.
An Employees department is connected wo whether they leave the
company and some departments hacve higher levels of employees that
left.
Question 3
##
## Pearson's Chi-squared test with Yates' continuity correction
##
## data: table(hr$promotion_last_5years, hr$left)
## X-squared = 56.262, df = 1, p-value = 6.344e-14
There is a significant relationship between whether an employee was
promoted in the last 5 yeeatns and the likelihood of leaving the
company.
Employees who where not promoted in the last 5 years shows they are
more likely to leave.
Question 4
##
## Pearson's Chi-squared test with Yates' continuity correction
##
## data: table(hr$Work_accident, hr$left)
## X-squared = 357.56, df = 1, p-value < 2.2e-16
There is a significant relationship between work accidents ans
employees that left.
Employees that had a work accident is linked to an employee leaving
the company.