Question 1

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
Interpret results in technical terms

The p-value of 2.2e-16 is extremely small. Reject the null hypothesis (Ho) and conclude there is a correlation between number of projects and average monthly hours. The correlation coefficient of approximately 0.417 suggests a moderate positive correlation.

Interpret results in non-technical terms

More projects, greater workload.

Create plot that helps visualize correlation

Question 2

Correlation between number of projects and last evaluation
## 
##  Pearson's product-moment correlation
## 
## data:  hr$number_project and hr$last_evaluation
## 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
Interpret results in technical terms

The p-value of 2.2e-16 is extremely small. Reject the null hypothesis (Ho) and conclude there is a correlation between number of projects and last evaluation. The correlation coefficient of approximately 0.349 suggests a weak positive correlation.

Interpret results in non-technical terms

More Projects, better evaluation.

Create plot that helps visualize correlation

Question 3

Correlation between average monthly hours and satisfaction level
## 
##  Pearson's product-moment correlation
## 
## data:  hr$average_montly_hours and hr$satisfaction_level
## 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
Interpret results in technical terms

The p-value of 0.01408 is relatively small. Reject the null hypothesis (Ho) and conclude there is a correlation between number of projects and last evaluation. The correlation coefficient of approximately -0.020 suggests a negligible negative correlation.

Interpret results in non-technical terms

More workload, negligibly less satisfaction.

Create plot that helps visualize correlation

Question 4

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
Interpret results in technical terms

The p-value of 2.2e-16 is extremely small. Reject the null hypothesis (Ho) and conclude there is a correlation between number of projects and last evaluation. The correlation coefficient of approximately 0.105 suggests a weak positive correlation.

Interpret results in non-technical terms

More satisfaction, better evaluation.

Create plot that helps visualize correlation