1. Satisfaction Level vs Last Evaulation
The correlation
##
## 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
We reject the null hypothesis because the p value is < .01
The correlation is positive and weak
Non-Technical Interpretation
An increase in the Last evaluation will increase satisfaction
slightly
Plot

2. Time Spent at Company vs Number of Projects
The 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
Technical Interpretation
We reject the null hypothesis because the p value is < .01
The correlation is positive and weak
Non-Technical Interpretation
An increase at time spent at the company will increase the number of
projects completed slightly
Plot

3. Time Spent at Company vs Satisfaction Level
The correlation
##
## 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
We reject the null hypothesis because the p value is < .01
The correlation is positive and weak
Non-Technical Interpretation
An increase in time spent at the company will decrease the
satisfaction of employees slightly
Plot

4. Time Spent at Company vs. Last Evaluation
The correlation
##
## 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
Technical Interpretation
We reject the null hypothesis because the p value is < .01
The correlation is positive and weak
Non-Technical Interpretation
An increase in time spent at the company will decrease the last
evaluation slightly
Plot
