Correlation 1: Satisfaction Level vs 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

Explain what the test’s p-value means (significance).

The p value is < 2.2e-16 (much smaller than 0.05) so the result is statistically significant. There is a very slight positive correlation.

What do the results mean in non-techical terms.

As job satisfaction level increases, evaluations tend to be slightly higher.

Visualization

Correlation 2: 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

Explain what the test’s p-value means (significance).

The p-value is 0.01408, which is less than 0.05, so the result is statistically significant.A relationship exists between the two variables, correlation is very weak and negative.

What do the results mean in non-techical terms.

As employees work more hours per month, their satisfaction level tends to decrease a little.

Visualization

Correlation 3: Number of Projects vs Average 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

Explain what the test’s p-value means (significance).

The p-value is very small (p-value < 2.2e-16) so the result is statistically significant. There is a strong, positive correlation.

What do the results mean in non-techical terms.

Employees that are assigned more projects tend to work more hours per month.

Visualization

Correlation 4: Time Spent at the 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

Explain what the test’s p-value means (significance).

The p-value is very small (p-value < 2.2e-16) so the result is statistically significant. There is a strong, positive correlation

What do the results mean in non-techical terms.

Employees who have been with the company longer tend to have higher evaluation scores

Visualization