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

P-value interpretation: The p-value is very small (< 2.2e-16), therefore the correlation between satisfaction level and last evaluation is significant.
Correlation estimate interpretation: The correlation coefficent of 0.105 indicates a positive but small correlation, indicating a weak positive relationship between satisfaction level and last evaluation score.
Non-technical interpretation: Employees who report higher satisfaction levels generally have slightly higher evaluation scores.

Correlation 2: Time Spent at Comapny 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

P-value interpretation: The very small p-value (less than 2.2e-16) shows a significant correlation between time spent at the company and last evaluation.
Correlation estimate interpretation: The correlation coefficient of 0.132 indicates a weak positive relationship.
Non-technical interpretation: Employees who have spent more time at the company tend to receive somewhat higher evaluations.

Correlation 3: Satisfaction Level vs Number of Projects

## 
##  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

P-value interpretation: The very small p-value (less than 2.2e-16) shows a significant correlation between the two variables.
Correlation estimate interpretation: The correalation coefficent of 0.143 indicates a positive correlation between the two variables. This suggests that as the time spent at the company increases, the satisfaction level tends to increase slightly.
Non-technical interpretation: The graph shows that employees who stay longer at the company tend to be more satisfied with their job, but the increase in satisfaction over time is small

Correlation 4: Time Spent at Company vs Number of Projects

## 
##  Pearson's product-moment correlation
## 
## data:  hr$time_spend_company and hr$number_project
## t = 24.579, df = 14997, p-value < 2.2e-16
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
##  0.1813532 0.2121217
## sample estimates:
##       cor 
## 0.1967859

P-value:the p-value of less than 2.2e-16 indicates a statistically significant correlation between time spent at the company and the number of projects.
Correlation estimate interpretation: The correlation coefficient of 0.197 indicates a weak to moderate positive relationship which shows that employees with longer tenure tend to work on slightly more projects.
Non-technical interpretation: Employees who have been with the company longer tend to work on more projects.