1a. Perform the 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

2a. Interpret the results in technical terms.

The p-value is less than 0.05, therefore indicates a statistically significant correlation between satisfaction level and last evaluation score.

3a. Interpret the results in non-technical terms.

Higher satisfaction level is associated with a higher last evaluation score

4a. Create a plot that helps visualize the correlation.

1b. Perform the correlation.

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

2b. Interpret the results in technical terms.

The p-value is less than 0.05, therefore indicates a statistically significant correlation between last evaluation and average monthly hours.

3b. Interpret the results in non-technical terms.

Employees who work more hours tend to have higher evaluation scores.

4b. Create a plot that helps visualize the correlation.

1c. Perform the correlation.

## 
##  Pearson's product-moment correlation
## 
## data:  hr$time_spend_company and hr$average_montly_hours
## t = 15.774, df = 14997, p-value < 2.2e-16
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
##  0.1119801 0.1434654
## sample estimates:
##       cor 
## 0.1277549

2c. Interpret the results in technical terms.

The p-value is less than 0.05, therefore indicates a statistically significant correlation between time spent at the company and average monthly hours

3c. Interpret the results in non-technical terms.

Employees who have been with the company longer tend to work more hours per month.

4c. Create a plot that helps visualize the correlation.

1d. Perform the correlation.

## 
##  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

2d. Interpret the results in technical terms.

The p-value is less than 0.05, therefore indicates a statistically significant correlation between time spent at the company and satisfaction level.

3d. Interpret the results in non-technical terms.

Employees who have been with the company longer tend to have slightly lower satisfaction levels.

4d. Create a plot that helps visualize the correlation.