Y	X1	X2	X3
48	50	51	2.3
57	36	46	2.3
66	40	48	2.2
70	41	44	1.8
89	28	43	1.8
36	49	54	2.9
46	42	50	2.2
54	45	48	2.4
26	52	62	2.9
77	29	50	2.1
89	29	48	2.4
67	43	53	2.4
47	38	55	2.2
51	34	51	2.3
57	53	54	2.2
66	36	49	2
79	33	56	2.5
88	29	46	1.9
60	33	49	2.1
49	55	51	2.4
77	29	52	2.3
52	44	58	2.9
60	43	50	2.3
86	23	41	1.8
43	47	53	2.5
34	55	54	2.5
63	25	49	2
72	32	46	2.6
57	32	52	2.4
55	42	51	2.7
59	33	42	2
83	36	49	1.8
76	31	47	2
47	40	48	2.2
36	53	57	2.8
80	34	49	2.2
82	29	48	2.5
64	30	51	2.4
37	47	60	2.4
42	47	50	2.6
66	43	53	2.3
83	22	51	2
37	44	51	2.6
68	45	51	2.2
59	37	53	2.1
92	28	46	1.8

Consider the data above. The data are for a random sample of 46 patients who were treated at a certain hospital. The data are as follows. Y = Patient satisfaction x₁ = Patient's age x₂ = Severity of illness (an index) x₃ = Anxiety level (in index) Consider relating Y to X₁, X₂ and X₃ by using the model Y = ₀ + ₁ X₁ + ₂ X₂ + ₃ X₃ + Use SAS to help you answer this question. Use = 0.05 for all tests. A. List and test the assumptions. B. Fit the least square model. C. Construct the ANOVA table and use it to test the usefulness of the model. D. Use the t-test to test whether each of the independent variables is significant in predicting patient satisfaction. E. Are severity of illness and anxiety level useful in predicting patient satisfaction