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Step $5$: Now, click the red triangle menu and choose Display Options $>$ Show Tree. Don$$t be alarmed, but it won$$t fit on your screen very well. Take a screenshot of the top node labeled $$All Rows$$ and paste it into the space below $($again$,$ just the one box that says All Rows at the top$).$ IMPORTANT: If you click Split, Prune, or Go$,$ you$$ll have to Redo the Analysis.

Step $6$: There$$s a lot to dive into here, but we$$ll keep it simple and accept the Decision Tree that JMP has given us$.$ This might look very intimidating, but this Decision Tree is just like the one we went over in the Classification Trees lecture video $$ it just looks a little different! Let me provide a quick recap$/$description of how the tree is formatted in JMP Pro:

Each node is giving us the criteria for entry into the node $($the bold label text$),$ along with some key metrics: the number of people in our Training Sample that meet the criteria to sort into this node $($which means they meet all the criteria from the nodes higher in the Tree as well$),$ the Mean credit score of those qualifying individuals $($which doubles as the predicted value at that node$),$ and the Standard Deviation of credit scores within those qualifying individuals.

So$,$ with that in mind, use the Decision Tree to predict the credit score of an individual who has had $5$ credit bureau inquiries, has used $10\%$ of her available credit, has $$14,500$ of total available credit, has no collection reports or missed payments, is a homeowner, has an average credit age of $6\mathrm{.}5$ years $($i$.$e$.$ CreditAge$=6\mathrm{.}5),$ and has worked continuously for the past $5$ years $($i$.$e$.$ TimeOnJob$=5).$ Enter your estimate for the credit score, i$.$e$.$ the Mean of the final node reached by the individual described above, into the space below, rounding your answer to two decimal places.

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