Answered: The following raw data were collected by a health an analyst from 50 smokers. It represents Risk Index (R.I.) (measured as concentration ratio of certain…

Name: Age(YRS)Mass(KG)Cigarettes(Per Day)Risk Index (R.I.) (--)4611340974.53
Uploaded: 2024-03-20T06:38:44.000Z
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Description: Age(YRS)Mass(KG)Cigarettes(Per Day)Risk Index (R.I.) (--)4611340974.5359632670.68438126409.263993501484.5226625500585533631.87607215350.75549319347.09325512308.786311524580.743010520320.5249019381.59556515274.25301156322.664011521411.11348022396.4831

MATLAB: An Introduction with Applications

6th Edition

ISBN: 9781119256830

Author: Amos Gilat

Publisher: John Wiley & Sons Inc

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Age (YRS)	Mass (KG)	Cigarettes (Per Day)	Risk Index (R.I.) (--)
46	113	40	974.5
35	96	32	670.68
43	81	26	409.26
39	93	50	1484.5
22	66	25	500
58	55	33	631.87
60	72	15	350.75
54	93	19	347.09
32	55	12	308.78
63	115	24	580.74
30	105	20	320.5
24	90	19	381.59
55	65	15	274.25
30	115	6	322.66
40	115	21	411.11
34	80	22	396.48
31	88	22	906
70	57	33	616.87
35	116	43	1072.07
57	101	31	589.41
44	68	36	718.56
66	118	33	790.37
46	120	44	1129.84
20	72	19	487
64	63	35	665.25
30	113	3	204.26
32	70	20	312
37	68	23	299.67
52	88	26	418.76
64	70	46	1299.36
23	87	23	422.17
42	53	50	1500.5
54	64	15	299.75
35	95	49	1536.99
51	95	39	912.69
61	105	20	386.5
37	115	16	375.46
64	95	35	825.25
57	118	22	401.48
52	114	19	449.59
29	88	10	348
68	83	44	1195.34
35	114	27	554.83
24	114	17	408.13
70	103	22	410.98
48	86	16	366.96
22	52	27	768.9
28	92	19	311.59
55	90	33	736.37
46	111	48	1497.42

P3.The following raw data were collected by a health an analyst from 50 smokers. It represents Risk Index (R.I.) (measured as concentration ratio of certain compounds in the blood) which is used as a strong indicator for getting a cardiovascular (CV) disease.

We would like to study the effect of each of the three factors (age, mass, and No. of cigarettes) on the R.I. :

Answer the following:

Classify the data into 3 groups according to age: Young: age < 35, Middle aged: between 36 and 59, and Old: age >60.

Then study if the Risk Index is affected by age class.

Classify the data into 3 groups according to body mass: regular mass <70, fat mass between shall be better? Show the evidence and comment on it.
Do a nonlinear fitting for the data using the following equation

R.I. = c_o + c₁*Age + c₂*Mass+c₃*Cig^^C4

Compare the predicted and measured R.I. values for both linear and nonlinear fitting. Which fitting is better? Suggest a measure that can tell you quantitatively which fitting is better.

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