Correlation 1: Last Evaluation and 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

P-Value Interpretation: The p-value is extremely small, so the correlation between last evaluation and number project is statistically significant.

Correlation Estimate Interpretation: The correlation is positive and moderate.

Non-Technical Interpretation: Employees who take on more projects receive higher performance evaluations.

Correlation 2: Time Spent at Company and 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

P-Value Interpretation: The p-value is extremely small, so the correlation between time spend company and satisfaction level is statistically significant.

Correlation Estimate Interpretation: The correlation is negative and small.

Non-Technical Interpretation: Satisfaction decreases as time spent at the company increases, particularly during the first four years

Correlation 3: Average Monthly Hours and Number of Projects

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

P-Value Interpretation: The p-value is extremely small, so the correlation between average monthly hours and number of projects is statistically significant.

Correlation Estimate Interpretation: The correlation is positive and medium.

Non-Technical Interpretation: Employees who handle more projects work longer hours on average.

Correlation 4: Satisfaction Level and Number of Projects

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

P-Value Interpretation: The p-value is extremely small, so the correlation between satisfaction level and number of projects is statistically significant.

Correlation Estimate Interpretation: The correlation is negative and small.

Non-Technical Interpretation: Employees are most satisfied when working on 3-5 projects.