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 alfa (0.01), therefore we reject the Ho and conclude that the is a weak and positive correlation between timespent at company and the number of 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 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 smaller than my alpha (0.01), so we reject Ho and conclude that there is a weak positive correlation between satisfaction level and last evaluation score.

Non-Technical Interpretation

Employees with higher satisfaction levels tend to have slightly higher evaluation scores.

Plot

3. Correlation between Average Monthly Hours and Number of Project

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

The p-value is smaller than my alpha (0.01), meaning we reject Ho and conclude that there is a moderate positive correlation between average monthly hours and the number of projects.

Non-Technical Interpretation

Employees who work more hours per month tend to be assigned to more projects.

Plot

4. Correlation between Satisfaction Level and 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 smaller than my alpha (0.01), therefore we reject Ho and conclude that there is a weak negative correlation between satisfaction level and average monthly hours.

Non-Technical Interpretation

Employees who work more hours per month tend to have slightly lower satisfaction levels.

Plot