1. 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

We reject the null Ho because the p-value is <.01
The correlation is positive and weak

Non-Technical Interpretation

An increase in the last evaluation will increase satisfaction slightly

Plot

2. Time Spent at Company vs 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

Technical Interpretation

We reject the null Ho because the p-value is <.01
The correlation is negative and weak

Non-Technical Interpretation

An increase in time spent at the company will decrease satisfaction levels slightly

Plot

3. Time Spent at Company vs 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

We reject the null Ho because the p-value is <.01
The correlation is positive and weak

Non-Technical Interpretation

An increase in time spent at the company will slighly increase an employees number of projects

Plot

4. Average Monthly Hours vs Last Evaluation

## 
##  Pearson's product-moment correlation
## 
## data:  hr$average_montly_hours and hr$last_evaluation
## t = 44.237, df = 14997, p-value < 2.2e-16
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
##  0.3255078 0.3538218
## sample estimates:
##       cor 
## 0.3397418

Technical Interpretation

We reject the null Ho because the p-value is <.01
The correlation is positive and average

Non-Technical Interpretation

The more hours an employee works led to an increase in their last evaluation

Plot