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 Average Monthly Hours and Number of Projects

Correlation

## 
##  Pearson's product-moment correlation
## 
## data:  hr$average_montly_hours and hr$number_project
## t = 56.219, df = 14997, p-value < 2.2e-16
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
##  0.4039037 0.4303411
## sample estimates:
##       cor 
## 0.4172106

Technical Interpretation

Since the p-value is smaller than my alpha, we conclude that there is a positive correlation between average monthly hours and the number of projects

Non-Technical Interpretation

The more average monthly hours worked, the amount of projects increase

Plot

3. Correlation Between Satisfaction Level and Time Spent at Company

Correlation

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

There is a weak negative correlation between time spent at the company and the satisfaction level as the coefficient is negative and the p-value is < 0.005

Non-Technical Interpretation

The longer employees stay at the company, the less satisfied they are

Plot

4. Correlation Between Last Evaluation and Satisfaction Level

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 coefficient is slightly positive, meaning that as the evaluation scores increase, so does the satisfaction level

Non-Technical Interpetation

The Employees who receive higher performance evaluations tend to be a little more satisfied with their job

Plot