9.13

Using the SHHS data in Table 2.10,fit all possible multipleregression models (without interactions) that predict the yvariable serum total cholesterol from diastolic bloodpressure,systolic blood pressure,alcohol,carbon monoxide andcotinine. Scrutinize your results to understand how the x variablesact in conjuction.For these data,which is the \"best \" multipleregression model for cholesterol? What percentage of variation doesit explain?

Serum total cholesrerol(mmol/l)	Diastolic blood pressure (mmHg)	Systolic blood pressure (mmHg)	Alcohol (g/day)	Cigarettes (no./day)	Carbon monoxide(ppm)	Cotinine (ng/ml)	CHD (1=yes,2=no)
5.75	80	121	5.4	0	6	13	2
6.76	83	139	64.6	0	4	3	2
6.47	76	113	21.5	20	21	284	2
7.11	79	124	8.2	40	57	395	2
5.42	100	127	24.4	20	29	283	2
7.04	79	148	13.6	0	3	0	2
5.75	79	124	54.6	0	3	1	2
7.14	100	127	6.2	0	1	0	2
6.1	79	138	0	0	1	3	2
6.55	85	133	2.4	0	2	0	2
6.29	92	141	0	0	7	0	2
5.98	100	183	21.5	20	55	245	1
5.71	78	119	50.2	0	14	424	2
6.89	90	143	16.7	0	4	0	1
4.9	85	132	40.6	4	7	82	2
6.23	88	139	16.7	25	24	324	2
7.71	109	154	7.2	1	3	11	1
5.73	93	136	10.8	0	2	0	1
6.54	100	149	26	0	3	0	2
7.16	73	107	2.9	25	29	315	1
6.13	92	132	23.9	0	2	2	2
6.25	87	123	31.1	0	7	10	2
5.19	97	141	12	0	3	4	1
6.05	74	118	23.9	0	3	0	2
7.12	85	133	24.4	0	2	0	2
5.71	88	121	45.4	0	8	2	2
6.19	69	129	24.8	15	40	367	1
6.73	98	129	52.6	15	21	233	2
5.34	70	123	38.3	1	2	7	2
4.79	82	127	23.9	0	2	1	2
6.78	74	104	4.8	0	4	7	2
6.1	88	123	86.1	0	3	1	1
4.35	88	128	15.5	20	11	554	2
7.1	79	136	7.4	10	9	189	1
5.85	102	150	4.1	0	6	0	2
6.74	68	109	1.2	15	15	230	2
7.55	80	135	92.1	25	29	472	2
7.86	78	131	23.9	6	55	407	1
6.92	101	137	2.5	0	3	0	2
6.64	97	139	119.6	40	16	298	2
6.46	76	142	62.2	40	31	404	1
5.99	73	108	0	0	2	4	2
5.39	77	112	11	30	11	251	2
6.35	81	133	16.2	0	3	0	2
5.86	88	147	88.5	0	3	0	2
5.64	65	111	0	20	16	271	2
6.6	102	149	65.8	0	3	1	2
6.76	75	140	12.4	0	2	0	2
5.51	75	125	0	25	16	441	2
7.15	92	131	31.1	20	36	434	1