Based on the Teaching case Store24 (A): Managing Employee Retention by Frei and Campbell (2005). Please read the case (available on Blackboard) and analyse the given dataset. Notice that the dataset is different from the original dataset provided by the authors.

1. Consider just the people factors (i.e., the tenures of manager and crew), what will be the dashboard summary (numerical and/or visual) of the data to highlight the possible relationship between tenures of manager and crew and store financial performance. What do you find?

1. Conduct a multiple regression analysis with both people and locational factors (Eight independent variables in total). Show and interpret the regression results.

1. Do you want to keep Visibility in your model? Why or why not? Refine your model if needed and show your results.

1. Are the regression results consistent with your findings in Question 1 about people factors? Explain why the regression approach provides more reliable results comparing to the dashboard summary.

1. Can we conclude that people factors lead to a store's financial success? What are some potential problems of your regression analysis?As the top management of Store24, what can you do to help your analytics team to solve these problems?

1. Based on your latest regression model, estimate the annual profit of a store with the following attributes:

MTenure	6 months
CTenure	25 months
Pop	12,500
Comp	3
PedCount	3
Res	Residential area
Hr24	No
Visibility	3

For this particular store, it is estimated that the cost will increase by roughly $50,000 per year if it opens 24/7. Will you advise the store to switch to 24/7? Why?