## 
##  Pearson's Chi-squared test with Yates' continuity correction
## 
## data:  hr$promotion_last_5years and hr$left
## X-squared = 56.262, df = 1, p-value = 6.344e-14

P-value Interpretation: The small p-value indicates that the relationship between promotions and attrition is unlikely due to chance.

Chi-square Test Interpretation: There is a significant dependency between receiving a promotion and the likelihood of leaving.

Non-Technical Interpretation: Employees without promotions in the last five years are more likely to leave the company.

P-value Interpretation: The small p-value indicates that the relationship between experiencing a work accident and employee attrition is statistically significant.

Chi-square Test Interpretation: There is a dependency between whether an employee experienced a work accident and their likelihood of leaving the company.

Non-Technical Interpretation: Employees who experienced a work accident are less likely to leave the company compared to those who did not.

P-value Interpretation: The small p-value indicates that the relationship between an employee’s department and their likelihood of leaving the company is statistically significant.

Chi-square Test Interpretation: There is a dependency between an employee’s department and whether they stayed or left.

Non-Technical Interpretation: Employee attrition rates vary across departments, suggesting some departments experience higher turnover than others.

P-value Interpretation: The small p-value indicates that the relationship between salary level and employee attrition is statistically significant.

Chi-square Test Interpretation: There is a dependency between an employee’s salary level and their likelihood of leaving the company.

Non-Technical Interpretation: Employees with lower salaries are more likely to leave the company compared to those with higher salaries.