##
## 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 for this correlation is greater than my alpha (0.01), meaning we accept the null hypothesis and assume a no significant relationship between satisfaction level and average monthly hours. The correlation is negative and weak with a value of -.02.
The more satisfaction in employees slightly correlates with having less average monthly hours.
##
## 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 for this correlation is smaller than my alpha (0.01), meaning we reject the null hypothesis and assume a significant relationship between number of projects and average monthly hours. The correlation is moderate and positive with a value of .417.
Generally, the more monthly hours results in more completed projects.
##
## Pearson's product-moment correlation
##
## data: hr$satisfaction_level and hr$time_spend_company
## 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 for this correlation is smaller than my alpha (0.01), meaning we reject the null hypothesis and assume a significant relationship between satisfaction level and time spent at the company. The correlation is negative and weak with a value of -.1.
The more satisfaction of employees correlates with having spent more time at the company.
##
## Pearson's product-moment correlation
##
## data: hr$last_evaluation and hr$average_montly_hours
## 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 for this correlation is smaller than my alpha (0.01), meaning we reject the null hypothesis and assume a significant relationship between last evaluation and average monthly hours. The correlation is moderate and positive with a value of .34.
The more average montlhy hours an employee works, the higher their last evaluation score.