1. Song and Such Restaurant Analysis of New Employees

2. Outline of Talk Motive of Analysis Analysis Simulations Conclusions

3. Motive of Analysis Four new delivery employees Customer complaints

4. Analysis Differences in Drive Time Between Drivers Is Distance Linearly Related to Drive Time?

5. Simulations Will enforcing 10 mile policy help reduce latencies? If you have to fire someone, who would be best?

6. Differences in Drive Times Using ANOVA, we can determine if there’s a difference between drivers.

7. Distance v Time Using linear regression, is there a linear relationship? Based on previous experience, r 2 doesn’t show as strong of a linear relationship.

8. Distance v Time (cont.) How does the F-test look? Assuming an alpha = 0.05, we find F obs > F a =

9. Distance v Time - Residual Plot

10. Distance v Time - Line Fit Plot

11. Distance v Time - Normal Probability Plot Not much of a 45 degree angle

12. Enforcing Ten Mile Policy We can simulate the “Ten Mile” policy by culling away anything greater than 10. I computed an ANOVA on data including 10 miles or greater vs. no more than 10 miles.

13. Enforcing Ten Mile Policy Does not show a strong difference between the two… Although not much difference, the variances are interesting, noting possible inconsistencies.

14. Reduction in Force Looking at the data and our analysis, we can make recommendations on staff reduction Driver 1 and 2 seem to perform, on average, better than Driver 3 and 4.

15. Conclusions The drivers seem to be similar in times to deliver. Distance is weakly linear with time. Enforcing the delivery policy for these four workers will not improve service. Drivers 3 and 4 bring up the average, therefore retraining or eliminating may improve customer response.