##
## Pearson's product-moment correlation
##
## data: hr$average_montly_hours and hr$time_spend_company
## t = 15.774, df = 14997, p-value < 2.2e-16
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## 0.1119801 0.1434654
## sample estimates:
## cor
## 0.1277549
-The p-value is very small indicating that there is a correlation, There is a large positive correlation
-The more time spent at the company, the more hours worked on a monthly average
##
## Pearson's product-moment correlation
##
## data: hr$time_spend_company and hr$satisfaction_level
## t = -12.416, df = 14997, p-value < 2.2e-16
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## -0.11668153 -0.08499948
## sample estimates:
## cor
## -0.1008661
-The P value is very small indicating that there is a correlation, there is a small negative correlation
-The more time an employee spends with a company the less satisfied they are
##
## Pearson's product-moment correlation
##
## data: hr$average_montly_hours and hr$satisfaction_level
## t = -2.4556, df = 14997, p-value = 0.01408
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## -0.036040356 -0.004045605
## sample estimates:
## cor
## -0.02004811
-The p-value is very small indicating that there is a correlation, the correlation is small and negative
-The more hours someone works the less satisified they are
##
## Pearson's product-moment correlation
##
## data: hr$average_montly_hours and hr$last_evaluation
## t = 44.237, df = 14997, p-value < 2.2e-16
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## 0.3255078 0.3538218
## sample estimates:
## cor
## 0.3397418
-The p-value is very small indicating that there is a correlation, The correlation is strong and positive
-The more hours a person works, the longer it has been since their last evaluation