An IT services company is conducting a Root Cause Analysis to understand the factors affecting employee productivity and client satisfaction.
The data science team is considering various tasks involving both correlation and regression analysis. Given the following tasks, determine which are more suited for correlation analysis and which for regression analysis:
- Task I: Determining if there is a relationship between the number of hours spent on training and the productivity of employees.
- Task II: Predicting client satisfaction scores based on various service quality metrics such as response time, resolution rate, and customer feedback.
- Task III: Examining the relationship between team size and project delivery times.
- Task IV: Estimating the impact of increasing support staff on overall customer satisfaction.
Choose the combination that accurately identifies the tasks suited for correlation analysis and those for regression analysis.