Assignment 7

1. Correlation between satisfaction level and 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 interpretation: p-value tells us if the correlation is significant.

Non-technical interpretation: Higher satisfaction may be related to higher evaluation scores.

2. Correlation between number of projects and 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

Technical interpretation: Examines statistical significance.

Non-technical interpretation: More projects generally lead to longer working hours.

3. Correlation between time spent at the company and satisfaction level

## 
##  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

Technical interpretation: Measures the correlation’s strength and significance.

Non-technical interpretation: Employees who stay longer may experience lower satisfaction.

4. Correlation between last evaluation and average monthly hours

## 
##  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

Technical interpretation: Tests for a relationship between evaluation scores and work hours.

Non-technical interpretation: Higher evaluation scores might be linked to working longer hours.