Correlation 1: Satisfaction 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

Interpretation in technical terms

- p < 0.001 (2.2e-16), so the correlation is statistically significant. We reject the Ho.

- The relationship is positive and small

Interpretation in non-technical terms

- As satisfaction increases, last evaluation increases, slightly

Graph

Correlation 2: Satisfaction vs Average Montly 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

Interpretation in technical terms

- p > 0.001, so the correlation is not statistically significant. We do not reject the Ho.

Interpretation in non-technical terms

- Employee Satisfaction isn’t tied to monthly hours.

Graph

Correlation 3: Satisfaction vs Number Project

## 
##  Pearson's product-moment correlation
## 
## data:  hr$satisfaction_level and hr$number_project
## t = -17.69, df = 14997, p-value < 2.2e-16
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
##  -0.1586105 -0.1272570
## sample estimates:
##        cor 
## -0.1429696

Interpretation in technical terms

- p < 0.001 (2.2e-16), so the correlation is statistically significant. We reject the Ho.

- The relationship is positive and small

Interpretation in non-technical terms

- As satisfaction increases, number project increases, slightly

Graph

Correlation 4: Satisfaction vs Time Spend Company

## 
##  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

Interpretation in technical terms

- p < 0.001 (2.2e-16), so the correlation is statistically significant. We reject the Ho.

- The relationship is positive and small

Interpretation in non-technical terms

- As satisfaction increases, time spend company increases, slightly

Graph