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## Pearson's Chi-squared test
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## data: hr$Department and hr$left
## X-squared = 86.825, df = 9, p-value = 7.042e-15The p-value is very small (p < 0.05), meaning the results are statistically significant. There is a relationship between department and employee attrition.
Some departments have higher employee turnover than others.
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## Pearson's Chi-squared test
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## data: hr$salary and hr$left
## X-squared = 381.23, df = 2, p-value < 2.2e-16The p-value is very small (p < 0.05), meaning the results are statistically significant. There is a relationship between salary and employee attrition.
Employees with lower salaries are more likely to leave the company.
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## Pearson's Chi-squared test with Yates' continuity correction
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## data: hr$Work_accident and hr$left
## X-squared = 357.56, df = 1, p-value < 2.2e-16The p-value is very small (p < 0.05), meaning the results are statistically significant. There is a relationship between work accidents and employee attrition.
Employees who had a work accident are less likely to leave the company.
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## 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-14The p-value is very small (p < 0.05), meaning the results are statistically significant. There is a relationship between promotions and employee attrition.
Employees who were not promoted in the last 5 years are more likely to leave the company.