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CORRELATION 1: Satisfaction Level vs. Last Evaluation

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## 
##  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 < alpha (.001)

Therefore we reject the null hypothesis and say there is a positive correlation between last evulation and satisfaction level

Non-Technical Interpretation:

Happier employees are evaluated better.

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CORRELATION 2: Average Monthly Hours vs. Last Evaluation

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

The p‑value tests whether the correlation between monthly hours and evaluation scores is statistically significant

Non-Technical Interpretation:

Employees who work more hours tend to receive higher evaluation scores.

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CORRELATION 3: Time Spent at Company vs. Number of Projects

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## 
##  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

Technical Interpretation:

The p‑value shows whether the relationship between years at the company and number of projects is statistically meaningful.

Non-Technical Interpretation:

Employees who have been with the company longer tend to have worked on more projects.

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CORRELATION 4: Satisfaction Level vs. Average Monthly Hours

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## 
##  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

Technical Interpretation:

The p‑value determines whether the correlation is significant.

Non-Technical Interpretation:

Employees who work more hours tend to be less satisfied. More time at work appears connected to lower happiness.