The worksheet Purchasing Survey in the Performance Lawn Care Database provides data related to predicting the level of business $($Usage Level$)$ obtained from a third$-$party survey of purchasing managers of firms that are customers of Performance Lawn Equipment. The seven PLE attributes rated by each respondent are the following:

Delivery speed$$the amount of time it takes to deliver the product once an order is confirmed

Price level$$the perceived level of price charged by PLE

Price flexibility$$the perceived willingness of PLE representatives to negotiate price on all types of purchases

Manufacturing image$$the overall image of the manufacturer

Overall service$$the overall level of service necessary for maintaining a satisfactory relationship between PLE and the purchaser

Sales force image$$the overall image of PLE$$s sales force

Product quality$$perceived level of quality

Responses to these seven variables were obtained using a graphic rating scale, where a $10-$centimeter line was drawn between endpoints labeled $$poor$$ and $$excellent$.$ Respondents indicated their perceptions using a mark on the line, which was measured from the left endpoint. The result was a scale from $0$ to $10,$ rounded to one decimal place.

Two measures were obtained that reflected the outcomes of the respondent$$s purchase relationships with PLE:

Usage level$$how much of the firm$$s total product is purchased from PLE, measured on a $100-$point scale, ranging from $0\%$ to $100\%$

Satisfaction level$$how satisfied the purchaser is with past purchases from PLE, measured on the same graphic rating scale as perceptions $1$ through $7$

The data also include four characteristics of the responding firms:

Size of firm$$size relative to others in this market

Purchasing structure$$the purchasing method used in a particular company

Industry$$the industry classification of the purchaser $[$ retail $($resale such as Home Depot$),$ private $($nonresale$,$ such as a landscaper$)]$

Buying type$$a variable that has three categories $($ new purchase, modified rebuy, straight rebuy$)$

Elizabeth Burke would like to understand what she learned from these data.

Develop a cause$-$and$-$effect model that can provide insights about the drivers of satisfaction and usage level.