1. The correlation between average monthly hours spent working and time spent at the company

Correlation

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

Analyses

p-value interpretation: The p-value is smaller than the alpha (0.01), therefore the correlation between average monthly hours working and time spent at the company is significant.

correlation estimate interpretation: The correlation is positive and weak.

non-technical interpretation: The more time spent at the company, the average monthly hours working slightly increases.

Plot

2. The correlation between satisfaction levels and evaluation scores

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

Analyses

p-value interpretation: The p-value is smaller than the alpha (0.01), therefore the correlation between satisfaction levels and evaluation scores is significant.

correlation estimate interpretation: The correlation is positive and weak.

non-technical interpretation: The more satisfied employees are, evaluation scores slightly increase.

Plot

3. The correlation between evaluation scores and average monthly hours working

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

Analyses

p-value interpretation: The p-value is smaller than the alpha (0.01), therefore the correlation between evaluation scores and average monthly hours working is significant.

correlation estimate interpretation: The correlation is positive and moderate.

non-technical interpretation: The more average monthly hours spent working, employees’ evaluation scores moderately increase.

Plot

4. The correlation between employee satisfaction levels and the time they have spent at the company

Correlation

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

Analyses

p-value interpretation: The p-value is smaller than the alpha (0.01), therefore the correlation between satisfaction level and time spent at the company is significant.

correlation estimate interpretation: The correlation is negative and weak.

non-technical interpretation: The more time spent at the company, employees’ satisfaction levels slightly decrease.

Plot