Correlation 1: Number of Projects vs 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

Technical Interpretation:
The p-value is less than 0.05, meaning the correlation is statistically significant. The relationship is positive and moderate.

Non-Technical Interpretation:
Employees who are assigned more projects tend to work more hours each month.

Correlation 2: Last Evaluation vs Average Monthly Hours

## 
##  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

Technical Interpretation:
The p-value is less than 0.05, meaning the correlation is statistically significant. The relationship is positive and moderate.

Non-Technical Interpretation:
Employees with higher evaluation scores tend to work more hours each month.

Correlation 3: Time Spent at Company vs Satisfaction Level

## 
##  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 
## -0.1008661

Technical Interpretation: The p-value is less than 0.05, meaning the correlation is statistically significant. The relationship is negative and weak.

Non-Technical Interpretation: Employees who stay longer at the company tend to be slightly less satisfied.

Correlation 4: Number of Projects vs Satisfaction Level

## 
##  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

Technical Interpretation: The p-value is less than 0.05, meaning the correlation is statistically significant. The relationship is negative and weak.

Non-Technical Interpretation: Employees with more projects tend to be less satisfied.