Assignment 7
Gavin Cooper & Harry Griff
2024-11-05
Test 1.
##
## 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
The P-Value is very small, which means there is a significant correlation between Satisfaction Level and Last Evaluation.
The correlation is positive and weak.
Higher satisfaction, higher evaluation.
Test 2.
##
## 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
The P-Value is small, which means there is a significant correlation between Satisfaction Level and Average Monthly Hours.
The correlation is negative and very weak
Satisfaction trends to decrease when average hours increase
n/
Test 3.
##
## 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
The P-Value is very small, which means there is a significant correlation between Satisfaction Level and Time Spend Company
The correlation is negative and weak
As time spent at company increases, satisfaction level tends to slightly decrease
TEST 4
##
## Pearson's product-moment correlation
##
## data: hr$satisfaction_level and hr$number_project
## t = -17.69, df = 14997, p-value < 2.2e-16
## alternative hypothesis: true correlation is not equal to 0
## 95 percent confidence interval:
## -0.1586105 -0.1272570
## sample estimates:
## cor
## -0.1429696