##
## 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 (Ho) because the p-value is <
.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 fail to reject the null hypothesis (Ho) because the p-value is
> .01
The correlation is negative and weak
An increase in the average monthly hours will decrease satisfaction slightly
##
## 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
## 0.3397418We reject the null hypothesis (Ho) because the p-value is <
.01
The correlation is positive and weak
An increase in the average monthly hours will increase the last evaluation slightly
##
## 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
## -0.1008661We reject the null hypothesis (Ho) because the p-value is <
.01
The correlation is negative and weak
An increase in the time spent at the company will decrease the satisfaction level slightly