Write a SAS program to read in the data using formatted input Call the created dataset formatted Id Race birthdate FEV Height Gender weight coffee1 Duration temperature wbccount marital education 1 white 1 2 45 1 708 57 female 57 0 5 99 8 Married Masters Degree 2 black 2 1 56 1 724 67 5 female 76 2 10 98 5 Married Masters Degree 3 black 3 5 67 1 72 54 5 female 114 0 6 99 12 Married High school diploma 4 other 12 30 72 1 558 53 male 62 0 11 98 2 4 Married Four year College 5 asian 3 10 55 1 895 57 male 58 14 5 98 5 11 Married Masters Degree 6 hispanic 1 20 68 2 336 61 female 49 0 14 96 8 6 Married Four year College 7 white 4 12 65 1 919 58 female 78 0 30 99 5 8 Divorced High school diploma 8 white 11 25 78 1 415 56 female 76 14 11 98 6 7 Single High school diploma 9 white 10 15 73 1 987 58 5 female 64 28 17 98 7 Divorced Four year College 10 hispanic 10 25 77 1 942 60 female 58 21 3 98 12 Divorced Masters Degree 11 asian 9 10 81 1 602 53 female 60 28 9 97 6 7 Married Four year College 12 mutliracial 6 6 61 1 735 54 male 70 21 3 97 8 3 Married High school diploma 13 white 7 8 82 2 193 58 5 female 81 7 8 99 5 11 Married High school diploma 14 white 10 9 44 2 118 60 5 male 61 21 8 98 4 14 Divorced Four year College 15 multiracial 2 3 81 2 258 58 male 55 14 5 98 4 11 Divorced High school diploma 16 black 4 12 65 1 932 53 male 61 42 5 99 9 Married High school diploma 17 other 11 25 78 1 472 50 male 62 0 7 99 2 6 Married Masters Degree 18 white 10 15 73 1 878 53 female 70 28 4 98 6 Married High school diploma 19 white 10 25 77 2 352 59 male 53 28 3 97 5 Married Four year College 20 black 1 2 45 2 604 61 5 male 60 28 7 98 2 6 Divorced Masters Degree 21 white 2 1 56 1 4 49 female 68 0 9 98 2 10 Divorced High school diploma 22 white 3 5 67 1 256 52 5 female 70 7 11 98 6 14 Single High school diploma 23 white 2 3 81 0 839 48 female 60 49 11 97 6 4 Single Two year College 24 hispanic 4 12 65 2 578 62 5 male 60 42 9 98 6 5 Single High school diploma 25 asian 11 25 78 2 988 65 female 57 0 4 98 5 Married Two year College 26 mutliracial 10 15 73 1 404 51 5 male 58 0 4 98 6 Divorced Masters Degree 27 white 10 25 77 2 348 60 male 72 14 3 97 5 Single High school diploma 28 white 1 2 45 1 755 52 male 112 0 7 98 2 6 married doctoral degree 29 multiracial 2 1 56 2 98 60 female 97 7 9 98 2 10 Married Two year College 30 black 3 5 67 2 1 60 female 59 7 11 98 6 14 Divorced Masters Degree 31 white 1 2 46 1 582 51 male 112 0 7 98 2 5 married Masters Degree 32 black 2 3 82 2 258 57 female 55 23 6 98 4 13 Divorced Two year College 33 asian 10 25 79 1 942 58 female 58 21 3 98 9 Divorced Masters Degree 34 white 9 10 80 1 602 54 female 60 28 9 97 6 10 Married Four year College 35 multiracial 6 6 63 1 735 56 male 70 21 3 97 8 4 Married High school diploma

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Question: Write a SAS program to read in the data using formatted input. Call the created dataset formatted Id Race birthdate FEV Height Gender weight coffee1

Write a SAS program to read in the data using formatted input. Call the created dataset formatted

Id	Race	birthdate	FEV	Height	Gender	weight	coffee1	Duration	temperature	wbccount	marital	education
1	white	1/2/45	1.708	57	female	57	0	5	99	8	Married	Masters Degree
2	black	2/1/56	1.724	67.5	female	76	2	10	98	5	Married	Masters Degree
3	black	3/5/67	1.72	54.5	female	114	0	6	99	12	Married	High school diploma
4	other	12/30/72	1.558	53	male	62	0	11	98.2	4	Married	Four-year College
5	asian	3/10/55	1.895	57	male	58	14	5	98.5	11	Married	Masters Degree
6	hispanic	1/20/68	2.336	61	female	49	0	14	96.8	6	Married	Four-year College
7	white	4/12/65	1.919	58	female	78	0	30	99.5	8	Divorced	High school diploma
8	white	11/25/78	1.415	56	female	76	14	11	98.6	7	Single	High school diploma
9	white	10/15/73	1.987	58.5	female	64	28	17	98	7	Divorced	Four-year College
10	hispanic	10/25/77	1.942	60	female	58	21	3	98	12	Divorced	Masters Degree
11	asian	9/10/81	1.602	53	female	60	28	9	97.6	7	Married	Four-year College
12	mutliracial	6/6/61	1.735	54	male	70	21	3	97.8	3	Married	High school diploma
13	white	7/8/82	2.193	58.5	female	81	7	8	99.5	11	Married	High school diploma
14	white	10/9/44	2.118	60.5	male	61	21	8	98.4	14	Divorced	Four-year College
15	multiracial	2/3/81	2.258	58	male	55	14	5	98.4	11	Divorced	High school diploma
16	black	4/12/65	1.932	53	male	61	42	5	99	9	Married	High school diploma
17	other	11/25/78	1.472	50	male	62	0	7	99.2	6	Married	Masters Degree
18	white	10/15/73	1.878	53	female	70	28	4	98	6	Married	High school diploma
19	white	10/25/77	2.352	59	male	53	28	3	97	5	Married	Four-year College
20	black	1/2/45	2.604	61.5	male	60	28	7	98.2	6	Divorced	Masters Degree
21	white	2/1/56	1.4	49	female	68	0	9	98.2	10	Divorced	High school diploma
22	white	3/5/67	1.256	52.5	female	70	7	11	98.6	14	Single	High school diploma
23	white	2/3/81	0.839	48	female	60	49	11	97.6	4	Single	Two-year College
24	hispanic	4/12/65	2.578	62.5	male	60	42	9	98.6	5	Single	High school diploma
25	asian	11/25/78	2.988	65	female	57	0	4	98	5	Married	Two-year College
26	mutliracial	10/15/73	1.404	51.5	male	58	0	4	98	6	Divorced	Masters Degree
27	white	10/25/77	2.348	60	male	72	14	3	97	5	Single	High school diploma
28	white	1/2/45	1.755	52	male	112	0	7	98.2	6	married	doctoral degree
29	multiracial	2/1/56	2.98	60	female	97	7	9	98.2	10	Married	Two-year College
30	black	3/5/67	2.1	60	female	59	7	11	98.6	14	Divorced	Masters Degree
31	white	1/2/46	1.582	51	male	112	0	7	98.2	5	married	Masters Degree
32	black	2/3/82	2.258	57	female	55	23	6	98.4	13	Divorced	Two-year College
33	asian	10/25/79	1.942	58	female	58	21	3	98	9	Divorced	Masters Degree
34	white	9/10/80	1.602	54	female	60	28	9	97.6	10	Married	Four-year College
35	multiracial	6/6/63	1.735	56	male	70	21	3	97.8	4	Married	High school diploma

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