##
## Pearson's product-moment correlation
##
## data: hr$satisfaction_level and hr$last_evaluation
## t = 12.933, df = 14997, p-value < 2.2e-16
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## 0.08916727 0.12082195
## sample estimates:
## cor
## 0.1050212We reject the null hypothesis because the p-value is < 0.01 The correlation is positive and weak
An increase in the last evaluation will increase satisfaction slightly
##
## Pearson's product-moment correlation
##
## data: hr$satisfaction_level and hr$average_montly_hours
## 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
## -0.02004811We reject the Ho because the p-value is < .01 The correlation is negative and weak
Employees who work more hours tend to have lower satisfaction.
##
## Pearson's product-moment correlation
##
## data: hr$number_project and hr$last_evaluation
## t = 45.656, df = 14997, p-value < 2.2e-16
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## 0.3352028 0.3633053
## sample estimates:
## cor
## 0.3493326We reject the Ho because the p-value is < .01 The correlation is positive and moderate
Employees with more projects tend to receive higher evaluations.
##
## Pearson's product-moment correlation
##
## data: hr$time_spend_company and hr$average_montly_hours
## 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
## 0.1277549We reject the Ho because the p-value is < .01 The correlation is positive and moderate
Employees who have been at the company longer tend to work more hours per month.