For this case assignment, you are to use correlation and regression methodologies to investigate several issues facing management at Performance Lawn Equipment $($PLE$).$ You are to use the data provided to investigate the associations amongst the variables, evaluate the appropriateness of using a regression modeling approach to determine the ability of the factors to predict the key outcome measures associated with each of the three issues, perform appropriate graphical and predictive analysis, and summarize your results and recommendations in a formal report to PLE leadership. You will submit your work in an Excel spreadsheet$($s$)$ as supporting documentation; however, your primary submission is the communication of the issue, an overview of your methodology, your results, and resulting conclusions and recommendations in a BI report. The three issues to investigate include:

Predicting the defects in supplied materials

Investigating relationships among the factors affecting employee retention in field service engineers and

Understanding test results on new engine technology to predict future production costs

Additional information is found in your textbook at the end of Chapter $8$ under "Case: Performance Lawn Equipment".