1. Number of Projects and Average Monthly Hours

Technical Interpretation

There is a statistically significant positive correlation between number of projects and average monthly hours, with a correlation coefficient of 0.417 and a p-value of 0.001. This suggests a moderate positive relationship between the two variables.

Non-Technical Interpretation

Employees who work on more projects tend to spend more hours working each month.

2. Satisfaction Level and Last Evaluation

Technical Interpretation

There is a statistically significant positive correlation between satisfaction level and last evaluation, with a correlation coefficient of 0.105 and a p-value of 0.001. This indicates a weak positive relationship between the two variables.

Non-Technical Interpretation

Employees who are more satisfied with their jobs tend to have slightly higher performance evaluation scores.

3. Time Spent at Company and Average Monthly Hours

Technical Interpretation

There is a statistically significant positive correlation between time spent at the company and average monthly hours, with a correlation coefficient of 0.128 and a p-value of 0.001. This suggests a positive relationship between the two variables.

Non-Technical Interpretation

Employees who have been at the company longer tend to work more hours each month.

4. Number of Projects and Last Evaluation

Technical Interpretation

There is a statistically significant positive correlation between number of projects and last evaluation, with a correlation coefficient of 0.349 and a p-value of 0.001. This suggests a positive relationship between the two variables.

Non-Technical Interpretation

Employees who work on more projects tend to have higher evaluation scores.