Correlation #1: Satisfaction level with 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:

The p-value < than alpha (.001) Therefore we reject the H0 and say there is a positive and small correlation between last evaluation and satisfaction level

Non-Technical Interpretation

As evalutation increase, satisfaction increases slightly

Correlation #2: Number of projects with 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 < than alpha (.001) Therefore we reject the H0 and say there is a positive and strong correlation between number of projects and average monthly hours

Non-Technical Interpretation

As number of projects increase, employees work more hours

Correlation #3: Time spent at company with number of projects

## 
##  Pearson's product-moment correlation
## 
## data:  hr$time_spend_company and hr$number_project
## t = 24.579, df = 14997, p-value < 2.2e-16
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
##  0.1813532 0.2121217
## sample estimates:
##       cor 
## 0.1967859

Technical Interpretation:

The p-value < than alpha (.001) Therefore we reject the H0 and say there is a positive and moderate correlation between time spent at company and number of projects

Non-Technical Interpretation

As time at the company increases, employees tend to have more projects

Correlation #4: Satisfaction level with 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

Technical Interpretation:

The p-value > alpha (0.001) Therefore we fail to reject the H0 and say there is no statistically significant correlation between satisfaction level and average monthly hours

Non-Technical Interpretation

There is no clear relationship between how many hours employees work and their satisfaction