Fitting of multiple-linear regression model

Reference no: EM1314733

Run a multiple regression and interpret all the findings, R², F, IV coefficients, and the intercept. Then in paragraph format, identify and report the following:

1. Results: what tests were run and what results were found, discuss significance of variables, impact of IV's on DV's, and R².

2. Discussion: significance and summary.

The following table reports data collected on 20 patients with hypertension i.e. high blood pressure. Run a multiple regression and interpret all the findings, R², F, IV coefficients, and the intercept. What should we focus on to reduce hypertension?

Y = mean arterial blood pressure (mm Hg)

X₁ = age (years)

X₂ = weight (kg)

X₃ = body surface area (sq m)

X₄ = duration of hypertension (years)

X₅ = basal pulse (beats/min)

X₆ = measure of stress

	Y = Blood	X₁	X₂	X₃	X₄-Duration	X₅	X₆
Patient	Pressure	Age	Weight	Body Area	of Hypertension	Pulse	Stress
1	105	47	85.4	1.75	5.1	63	33
2	115	49	94.2	2.10	3.8	70	14
3	116	49	95.3	1.98	8.2	72	10
4	117	50	94.7	2.01	5.8	73	99
5	112	51	89.4	1.89	7.0	72	95
6	121	48	99.5	2.25	9.3	71	10
7	121	49	99.8	2.25	2.5	69	42
8	110	47	90.9	1.90	6.2	66	8
9	110	49	89.2	1.83	7.1	69	62
10	114	48	92.7	2.07	5.6	64	35
11	114	47	94.4	2.07	5.3	74	90
12	115	49	94.1	1.98	5.6	71	21
13	114	50	91.6	2.05	10.2	68	47
14	106	45	87.1	1.92	5.6	67	80
15	125	52	101.3	2.19	10.0	76	98
16	114	46	94.5	1.98	7.4	69	95
17	106	46	87.0	1.87	3.6	62	18
18	113	46	94.5	1.90	4.3	70	12
19	110	48	90.5	1.88	9.0	71	99
20	122	56	95.7	2.09	7.0	75	99

Reference no: EM1314733

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