1. Satisfaction Level & 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

We reject the null hypothesis because the p value is less than 0.01
The correlation is positive and weak


Non Technical Interpretation

An increase in the last evaluation will increase satisfaction slightly



2. Time Spent at the Company & 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

We reject the null hypothesis because the p value is less than 0.01
The correlation is positive and weak


Non Technical Interpretation

As time spent at the company increases, an employee’s monthly hours slightly increase



3. Average Monthly Hours & Satisfaction Level

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

We fail to reject the null hypothesis because the p value is greater than 0.01
The correlation is negative and very weak


Non Technical Interpretation

There is not enough evidence to suggest there is a relationship between average monthly hours and satisfaction level



4. Number of Projects & 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

We reject the null hypothesis because the p value is less than 0.01
The correlation is negative and weak


Non Technical Interpretation

As an employee’s number of projects increases, their satisfaction level slightly decreases