Customer Number	Wait Time (min)	Purchase Amount ($)	Customer Age	Credit Score
1	1.3	455	28	746
2	4.5	490	32	760
3	0.8	495	45	744
4	4.2	742	58	749
5	8.2	603	38	696
6	1.4	420	41	673
7	1.8	350	48	625
8	2.3	189	34	747
9	9.5	281	28	743
10	8.4	360	31	638
11	3.2	393	28	622
12	1.4	888	62	837
13	6.4	950	54	884
14	7.8	646	38	690
15	6.5	527	43	718
16	9.8	354	48	645
17	3.4	431	28	529
18	4.8	528	35	590
19	5	981	50	837
20	1.8	847	41	831
21	6.1	716	39	600
22	3.4	330	42	683
23	7.8	549	36	723
24	2.8	551	34	692
25	1.2	468	37	775

Table Lens on Customer Data. Bravman Clothing sells high-end clothing products and is launching a service in which they use a same-day courier service to deliver purchases that customers have made by working with one of their personal stylists on the phone. In a pilot study, Bravman collected 25 observations consisting of the wait time the customer experienced during the order process, the customers purchase amount, the customers age, and the customers credit score. The file Bravman contains the data for these 25 observations. (5 Points) a. Construct a table lens on this data sorted in decreasing order with respect to the values of the Purchase Amount variable. b. Summarize the relationships between Purchase Amount and the other three variables (At least 100 words)