Question: table [ [ , table [ [ Del Compl ] , [ Region / Station ] , [ Rate ] ] ,

\table[[,\table[[Del Compl],[Region/Station],[Rate]],\table[[Traffic],[Conds]],\table[[Avg Route],[Dist]],\table[[Avg Time per],[Del]],\table[[Dels per],[Driver]]],[A/1,98%,Poor,7,19,58.22],[A/2,97%,Good,8,5,55.64],[B/1,97%,Poor,5,17,65.99],[B/2,91%,Medium,13,11,51.23],[C/1,93%,Medium,16,12,36.75],[C/2,90%,Poor,13,21,47.23],[D/1,88%,Good,11,7,52.17],[D/2,92%,Good,10,9,52.34],[E/1,94%,Medium,18,11,33.87],[E/2,96%,Good,7,8,57.42]]
1. route distance looks to be the biggest factor impacting which metric
A) Delivery Completion rate B) Traffic conditions C)Average time per Delivery D) Deliveries per Driver E) Not enough information
2. What looks to be the biggest factor impacting average time per Delivery ?
A) Delivery Completion rate B) Traffic Conditions C) Average route distance D) Deliveries per driver E) Not enough information.
3. Which region should add more drivers to balance the number of deliveries per driver?
A) A B) B C) C D) D E) E
4. Which region should change delivery routes to improve route distances?
A) A B) B C) C D) D E) E
 \table[[,\table[[Del Compl],[Region/Station],[Rate]],\table[[Traffic],[Conds]],\table[[Avg Route],[Dist]],\table[[Avg Time per],[Del]],\table[[Dels per],[Driver]]],[A/1,98%,Poor,7,19,58.22],[A/2,97%,Good,8,5,55.64],[B/1,97%,Poor,5,17,65.99],[B/2,91%,Medium,13,11,51.23],[C/1,93%,Medium,16,12,36.75],[C/2,90%,Poor,13,21,47.23],[D/1,88%,Good,11,7,52.17],[D/2,92%,Good,10,9,52.34],[E/1,94%,Medium,18,11,33.87],[E/2,96%,Good,7,8,57.42]] 1. route distance looks to

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