1st Correlation: 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

Technical Interpretation:

p-value < 0.05 indicates significance.

Correlation coefficient shows the strength and direction.

Non-Technical Interpretation:

“Higher satisfaction may be linked to higher performance.”

Visualization:

2nd Correlation: 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

Non-Technical Interpretation:

“Employees working on more projects spend more time at work.”

Visualization:

3rd Correlation: Time Spent in Company vs. Work Accidents

## 
##  Pearson's product-moment correlation
## 
## data:  hr$time_spend_company and hr$Work_accident
## t = 0.25967, df = 14997, p-value = 0.7951
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
##  -0.01388386  0.01812361
## sample estimates:
##         cor 
## 0.002120418

Non-Technical Interpretation:

“Longer tenure might slightly increase accident risk.”

Visualization:

4th Correlation: Promotion vs. Average Monthly Hours

## 
##  Pearson's product-moment correlation
## 
## data:  hr$promotion_last_5years and hr$average_montly_hours
## t = -0.43406, df = 14997, p-value = 0.6643
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
##  -0.01954711  0.01246010
## sample estimates:
##          cor 
## -0.003544414

Non-Technical Interpretation:

Visualization: