1. Correlation between AVG Monthly Hours and Last Evaluation Scores

## 
##  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

p-value interpretation: The p-value is very small (less than .05), therefore the correlation between average monthly hours and last evaluation scores is significant.

correlation estimate interpretation: The correlation is moderate and positive.

non-technical interpretation: The more monthly hours worked, your chances are higher of having a higher evaluation score

2. Correlation between Time Spent at Company and 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

p-value interpretation: The p-value is very small (less than .05), therefore the correlation between promotion in last 5 years and satisfaction level is significant.

correlation estimate interpretation: The correlation is extremely low and negative.

non-technical interpretation: Since the correlation is essentially nothing, more years spent at the company typically does not relate to satisfaction level. But there is a slight trend that the more years you work, the less satisfied you are.

3. Correlation between Number of Projects and Monthly Hours

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

p-value interpretation: The p-value is very small (less than .05), therefore the correlation between number of work projects and average monthly hours is significant.

correlation estimate interpretation: The correlation is moderate and positive.

non-technical interpretation: more projects, means more average monthly hours.

4. Correlation between Satisfaction Level and Last Evaluation

## 
##  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

p-value interpretation: The p-value is very small (less than .05), therefore the correlation between employee satisfaction level and last evaluation scores is significant.

correlation estimate interpretation: The correlation is low and positive.

non-technical interpretation: low correlation, but the higher the satisfaction level, the last evaluation might be slightly higher.