Correlation 1: Satisfaction Level and Average Monthly Hours

Correlation:

## 
##  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

Interpretations:

p-value Interpretation: The p-value (0.01408) is greater than 0.01, indicating that the amount of hours that you work has no effect on satisfaction.

Correlation Estimate Interpretation: There is no correlation.

Non-Technical Interpretation: There is no relationship between hours worked and employee satifaction level.

Correlation 2: Time at Company and Number of Projects

Correlation:

## 
##  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

Interpretations:

p-value Interpretation: The p-value (< 2.2e-16) is extremely small and less than 0.01, indicating that the correlation between time spent at the company and the number of projects is statistically significant.

Correlation Estimate Interpretation: The correlation coefficient is 0.1968, which is a moderate positive correlation.

Non-Technical Interpretation: Employees who have been at the company for a longer time tend to work on a slightly higher number of projects, though the effect is moderate

Correlation 3: Last Evaluation Score and Number of Projects

Correlation:

## 
##  Pearson's product-moment correlation
## 
## data:  hr$last_evaluation and hr$number_project
## t = 45.656, df = 14997, p-value < 2.2e-16
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
##  0.3352028 0.3633053
## sample estimates:
##       cor 
## 0.3493326

Interpretations:

p-value Interpretation: The p-value (< 2.2e-16) is extremely small and smaller than 0.01, meaning the correlation between last evaluation scores and the number of projects is statistically significant.

Correlation Estimate Interpretation: The correlation coefficient is 0.3493, indicating a moderate positive correlation.

Non-Technical Interpretation: Employees who receive higher performance evaluations tend to be assigned more projects, though the relationship is not perfect.

Correlation 4: Satisfaction Level vs. Time Spent at 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

Interpretations:

p-value Interpretation: The p-value is extremely small (< 2.2e-16), indicating that the relationship between time spent at the company and satisfaction level is statistically significant.

Correlation Estimate Interpretation: The correlation coefficient of -0.1009 suggests a very weak negative relationship.

Non-Technical Interpretation: Employees who stay at the company longer tend to have slightly lower satisfaction, but the effect is weak.