1. Number of Projects and 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

There is a statistically significant positive correlation between number of projects and average monthly hours, with a correlation coefficient of 0.417 and a p-value below 0.001. This suggests a moderate positive relationship between the two variables.

Non-Technical Interpretation

Employees who work on more projects tend to spend more hours working each month.

2. Satisfaction Level and 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

There is a statistically significant positive correlation between satisfaction level and last evaluation, with a correlation coefficient of 0.105 and a p-value below 0.001. This indicates a weak positive relationship between the two variables.

Non-Technical Interpretation

Employees who are more satisfied with their jobs tend to have slightly higher performance evaluation scores.

3. Time Spent at Company and 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

Technical Interpretation

There is a statistically significant positive correlation between time spent at the company and average monthly hours, with a correlation coefficient of 0.128 and a p-value below 0.001. This suggests a weak positive relationship between the two variables.

Non-Technical Interpretation

Employees who have been at the company longer tend to work more hours each month.

4. Number of Projects and Last Evaluation

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

Technical Interpretation

There is a statistically significant positive correlation between number of projects and last evaluation, with a correlation coefficient of 0.349 and a p-value below 0.001. This suggests a moderate positive relationship between the two variables.

Non-Technical Interpretation

Employees who work on more projects tend to have higher evaluation scores.