##
## 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
## -0.02004811
The p-value is greater than alpha (0.01) therefore we retain the Ho and conclude that there is no corelation between satisfaction and avg monthly hours.
The amount of hours has no effect on employee satisfaction.
##
## 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
## 0.1050212
The p-value is less than alpha (0.01) therefore we reject the Ho. We conclude that there is a small and positive correlation between satisfaction level and last evalutation.
As last evalution increases, satisfaction level increases slightly.
##
## Pearson's product-moment correlation
##
## data: hr$number_project and hr$satisfaction_level
## t = -17.69, df = 14997, p-value < 2.2e-16
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## -0.1586105 -0.1272570
## sample estimates:
## cor
## -0.1429696
The p-value is less than alpha (0.01) therefore we reject the Ho. We conclude that there is a small and positive correlation between number of projects and satisfaction level.
employees who have more projects expierenced a slight decrease in satisfaction level
##
## Pearson's product-moment correlation
##
## data: hr$number_project and hr$average_montly_hours
## t = 56.219, df = 14997, p-value < 2.2e-16
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## 0.4039037 0.4303411
## sample estimates:
## cor
## 0.4172106
The p-value is less than alpha (0.01) therefore we reject the Ho. We conclude that there is a direct positive correlation between average monthly hours and number of projects.
The More Hours an Employee Works, the More Projects They Get Assigned