By: Kevin Hanson & Pat O’Connell

Task 1: Correlation between Satisfaction Level & 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

Technical Analysis

  • The p-value (0.1050212) indicates the likelihood of observing the correlation if there were no actual relationship.
  • A small p-value suggests a statistically significant correlation.

Non-Technical Analysis

  • This shows how employee satisfaction relates to their performance evaluations. A positive correlation would mean that higher satisfaction tends to come with higher evaluations, and vice versa.

The Graph

Task 2: Correlation between Average Monthly Hours & Last Evaluation

## 
##  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

Technical Analysis

  • Again, the p-value (0.3397418) determines the significance of the correlation between monthly hours and evaluation scores suggesting that they are moderately positively correlated

Non-Technical Analysis

  • This illustrates if working more hours relates to higher performance evaluations.

The Graph

Task 3: Correlation between Satisfaction Level & 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 Analysis

  • The p-value(-0.02004811) assesses the statistical significance of the correlation between satisfaction and monthly hours since the p-value is closer to 0 their is no correlation between the two variable

Non-Technical Analysis

  • This illustrates their is no correlation if working longer hours affects employee satisfaction.

The Graph

Task 4: Time Spent at Company vs. Last Evaluation

## 
##  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

Technical Analysis

  • The p-value (0.1315907) indicates the significance of the correlation between time spent at the company and evaluation scores. This suggests that the variables are slighly positively correlated.

Non-Technical Analysis

  • This illustrates a relationship between how long someone has been with the company and their performance evaluations is slighly correlated.

The Graph