1. Satisfaction Level vs Last Evaulation

The correlation

## 
##  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 < .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 Number of Projects

The correlation

## 
##  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 hypothesis because the p value is < .01

The correlation is positive and weak

Non-Technical Interpretation

An increase at time spent at the company will increase the number of projects completed slightly

Plot

3. Time Spent at Company vs Satisfaction Level

The correlation

## 
##  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 hypothesis because the p value is < .01

The correlation is positive and weak

Non-Technical Interpretation

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

Plot

4. Time Spent at Company vs. Last Evaluation

The correlation

## 
##  Pearson's product-moment correlation
## 
## data:  hr$time_spend_company and hr$last_evaluation
## t = 16.256, df = 14997, p-value < 2.2e-16
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
##  0.1158309 0.1472844
## sample estimates:
##       cor 
## 0.1315907

Technical Interpretation

We reject the null hypothesis because the p value is < .01

The correlation is positive and weak

Non-Technical Interpretation

An increase in time spent at the company will decrease the last evaluation slightly

Plot