1. Correlation between Number of Projects and Time Spent at the Company

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

The p-value is smaller than my alpha (0.01) therefore we reject the Ho and conclude that there is a weak and positive correlation between time and projects.

Non-Technical Interpretation

As time spent at the company goes up, the number of projects goes up slightly.

Plot

2. Correlation between Satisfaction Level and Time Spent at the Company

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

The p-value is smaller than my alpha (0.01) therefore we reject the Ho and conclude that there is a weak and negative correlation between time and satisfaction level.

Non-Technical Interpretation

As time spent at the company goes up, satisfaction level goes down slightly.

Plot

3. Correlation between Last Evaluation and 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 smaller than my alpha therefore we reject the Ho and conclude that there is a moderate and positive correlation between average monthly hours and last evaluation level.

Non-Technical Interpretation

Employees who work more hours per month tend to receive higher performance evaluations.

Plot

4. Correlation between Satisfaction Level and Number of Projects

Correlation

## 
##  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

The p-value is smaller than my alpha therefre we reject the Ho and conclude that there is a weak and negative correlation between number of projects and satisfaction level.

Non-Technical Interpretation

As the number of projects increases, satisfaction level tends to decrease slightly.

Plot