Correlation 1: Satisfaction Level vs Average Monthly Hours

## 
##  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 0.014075. A p-value less than 0.05 means the correlation is significant, so there is likely a real relationship between the variables. A p-value greater than 0.05 means the correlation is not significant, so any relationship might be due to chance. Though there is no clear relationship between how satisfied employees are and how many hours they work per month.

Correlation 2: Last Evaluation vs Number of Projects

## 
##  Pearson's product-moment correlation
## 
## data:  hr$last_evaluation and hr$number_project
## 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 
## 0.3493326

The p-value is 0. The p-value is less than 2.2e-16 (a very small number, effectively 0). A p-value less than 0.05 means the correlation is significant, so there is likely a real relationship between last evaluation and number of projects. This indicates a strong likelihood that the observed correlation (positive, as the estimate is 0.3493326) is not due to chance. Meaning the higher evaluations are slightly linked to more projects.

Correlation 3: Time Spent at Company vs Average Monthly Hours

## 
##  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 
## 0.1277549

The p-value is 1.306156^{-55}. The p-value is less than 2.2e-16 (effectively 0). A p-value less than 0.05 means the correlation is significant, so there is likely a real relationship between time spent at the company and average monthly hours. This suggests that the observed correlation (positive, as the estimate is 0.1277549) is not due to random chance. That means the longer people have been at the company is slightly linked to more hours worked

Correlation 4: Satisfaction Level vs Last Evaluation

## 
##  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 4.7043116^{-38}. The p-value is less than 2.2e-16 (effectively 0). A p-value less than 0.05 means the correlation is significant, so there is likely a real relationship between satisfaction level and last evaluation. This indicates that the observed correlation (positive, as the estimate is 0.1050212) is not due to chance. But their is no clear link between employee satisfaction and their last evaluation score.