Question 1: Satisfaction Level vs. Last Evalulation
##
## 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
Analysis:
p-value interpretation: The p-value is very small, indicating that
the correlation between satisfaction level and last evaluation is
statistically significant, Rejecting H0 because p-value less then alpha
(0.1).
correlation estimate interpretation: The correlation is positive but
small, meaning that employees with higher satisfaction tend to have
slightly higher last evaluation scores.
non-technical interpretation: Employees who are more satisfied tend
to get slightly better performance evaluations.
Question 2: Average Monthly Hours vs. Last Evaluation
##
## 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
Analysis:
p-value interpretation: The p-value is very small, and less then
alpha (0.01) showing that the correlation between average monthly hours
and last evaluation is statistically significant.
correlation estimate interpretation: The correlation is positive and
moderate, meaning that employees who work more hours tend to have higher
performance evaluations.
non-technical interpretation: Employees who work more hours per
month tend to receive better evaluations from their supervisors.
Question 3: Statisfaction Level vs. Average Monthly Hours
##
## 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
Analysis:
p-value interpretation: The p-value is greater then alpha (0.01),
meaning that there is no correlation between satisfaction level and
average monthly hours.
correlation estimate interpretation: The estimate is not used due to
that the Ho is not rejected.
non-technical interpretation: The more hours an employee works has
no effect on satisfaction level.
Question 4: Number of Projects vs. 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
Analysis:
p-value interpretation: The p-value is very small, and is less then
alpha (0.01) meaning the correlation between number of projects and
average monthly hours is statistically significant.
correlation estimate interpretation: The correlation is positive and
strong, meaning that employees with more projects tend to work many more
hours per month.
non-technical interpretation: The more projects an employee handles,
the longer they work each month.