1. Satisfaction Level vs Average Monthly Hours

Correlation

## 
##  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 is great than alpha (.01) therefore we retain the null hypothesis and conclude that there is no correlation between satisfaction and avg monthly hours

Non-Technical Interpretation

The amount of hours has no affect on employee satisfaction

The Graph

2. Satisfaction Level vs Last Evaluation

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

The p-value is less than alpha (.01) therefore we reject the null hypothesis and conclude that there is a small and positive correlation between satisfication and last evaluation

Non-Technical Interpreation

As last evaluation increases, satisfaction level increases slightly

Graph

3. Last Evaluation vs Average Monthly Hours

Correlation

## 
##  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

The p-value is less than alpha (.01) therefore we reject the null hypothesis and conclude that there is a small and positive correlation between hours worked and last evaluation

Non-Technical Interpretation

The more hours worked, the higher the evaluation

4. Last Evaluation vs Number of Projects

Correlation

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

Technical Interpretation

The p-value is less than alpha (.01) therefore we reject the null hypothesis and conclude that there is a small and positive correlation between last evaluation and number of projects completed

Non-Technical Interpretation

The higher number of projects completed , the higher the evaluation