1. Satisfaction Level vs. Average Monthly Hours

## 
##  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 of .014 being less than .05 shows it is unlikely due to random chance, and there is a very weak correlation between satisfaction level and average monthly hours shown by the r-value of -.02

Non-Technical Interpretation

Although the statistics show this correlation is insignifigant, we can see that there are some employees who work longer hours and report lower satisfaction

2. Number of Projects vs Last Evaluation

## 
##  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 r-value of .349 shows us that there is a moderate positive correlation between the number of projects compared to their last evaluation. The p-value is extremely small meaning that there is a low probability this correlation occured randomly. We reject the null hypothesis which means there is a statistically signifigant relationship between the two.

Non-Techincal Interpretation

Employees who take on more projects tend to recieve higher scores on performance evaluations

3. Time Spent at Company vs Satisfaction Level

## 
##  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

Techincal Interpretation

The r-value of -.101 shows a very weak negative correlation between time spent and satisfaction level. The p-value of 2.2e-16 is an extremely small number showing the relationship is signifigant and not likely to be a random occurence.

Non-Techincal Interpretation

We can see that the longer an employee spends at a company there are less positive satisfaction level scores compared to employees that are at the company for less time.

4. Number of Projects vs Average Monthly Hours

## 
##  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

Techincal Interpretation

The R-value of .417 shows there is a moderate positive correlation between these two variables and the p-value of 2.2e-16 shows there is a statistically insignifigant chance that there is a random chance of these outcomes.

Non-Techincal Interpretation

Employees who work more projects will tend to work more hours compared to employees who have less projects.