1.

## 
##  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

The p-value of 2.2 x 10^-16 shows that there is a very unlikely chance that the results from this test were coincidental.

As the amount of time someone has spent at the company, the satisfaction level tends to decrease over time. However, the descrease is minimal and stays above or just at fifty percent given all intervals.

2.

## 
##  Pearson's product-moment correlation
## 
## data:  hr$time_spend_company and hr$last_evaluation
## t = 16.256, df = 14997, p-value < 2.2e-16
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
##  0.1158309 0.1472844
## sample estimates:
##       cor 
## 0.1315907

The p-value of 2.2 x 10 ^-16 shows that there is a very unlikely chance that the results from this test were coincidental.

As the amount of time people spend at the company, the performances increase, with evaluation scores rising as time spent at the company increases.

3.

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

The p-value of .014 shows that there is a 14% chance that these results were random.

The average monthly hours has almost no significant effect on the satisfaction level. As the amount of hoursper month increases, therer is a very slight decrease in satisfaction levels.

4.

## 
##  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

The p-value of 2.2 x 10^-16 shows that there is a very small chance that the results from this test were by chance.

As the number of years spent at the company increases, the number of projects on average increases slightly from 3-5.