patientgender race patientage diliscore ro2_group dailydose Female White 76 0.43 Negative 10 Female Black 76 0.43 Negative 10 Female White 34 0.66 Negative 1.5 Female White 67 1.38 Negative 10 Male White 83 1.38 Negative 10 Male White 64 1.39 Negative 10 Female Black 49 1.71 Negative 10 Female Black 33 1.98 Negative 10 Male Black 55 2.05 Negative 40 Female White 74 2.44 Negative 20 Female White 30 2.54 Negative 20 Male Asian 44 2.6 Negative 75 Male Asian 32 2.73 Negative 100 Male Hispanic 59 2.74 Negative 50 Female Hispanic 67 3.08 Negative 500 Male White 32 3.08 Negative 300 Male White 43 3.08 Negative 300 Male White 32 3.23 Negative 200 Male White 45 3.29 Negative 400 Male White 36 3.29 Negative 400 Female White 10 3.29 Negative 400 Female Asian 32 3.33 Negative 1 Female Asian 12 3.45 Negative 80 Male Asian 58 3.5 Negative 35 Male Asian 66 3.5 Negative 35 Male Asian 53 3.7 Negative 1000 Male Black 26 3.73 Negative 400 Male White 48 3.81 Negative 600 Male White 39 3.81 Negative 600 Male White 61 3.82 Negative 6 Male White 55 4.02 Negative 10 Female Black 73 4.08 Positive 300 Female Asian 62 4.08 Positive 300 Female White 74 4.12 Positive 400 Female Black 74 4.14 Negative 500 Female White 80 4.16 Negative 1000 Female Black 84 4.16 Negative 1000 Male White 63 4.16 Negative 500 Female White 43 4.17 Negative 10 Male White 48 4.17 Positive 300 Male Asian 45 4.19 Negative 400 Male White 69 4.26 Positive 300 Female White 69 4.26 Positive 300 Male Black 61 4.3 Positive 200 Female White 74 4.3 Positive 200 Female White 34 4.56 Positive 300 Female White 26 4.56 Positive 300 Male White 41 4.59 Negative 2000 Female Hispanic 47 4.67 Negative 10 Researchers want to study Drug-induced liver injury (DILI). DILIscore in the data set indicates how serious the injury is. From the data, please answer the following questions: Multivariate analysis: build a multiple regression model for DILIscore and summarize your results.

patientgender race patientage diliscore ro2_group dailydose Female White 76 0.43 Negative 10 Female Black 76 0.43 Negative 10 Female White 34 0.66 Negative 1.5 Female White 67 1.38 Negative 10 Male White 83 1.38 Negative 10 Male White 64 1.39 Negative 10 Female Black 49 1.71 Negative 10 Female Black 33 1.98 Negative 10 Male Black 55 2.05 Negative 40 Female White 74 2.44 Negative 20 Female White 30 2.54 Negative 20 Male Asian 44 2.6 Negative 75 Male Asian 32 2.73 Negative 100 Male Hispanic 59 2.74 Negative 50 Female Hispanic 67 3.08 Negative 500 Male White 32 3.08 Negative 300 Male White 43 3.08 Negative 300 Male White 32 3.23 Negative 200 Male White 45 3.29 Negative 400 Male White 36 3.29 Negative 400 Female White 10 3.29 Negative 400 Female Asian 32 3.33 Negative 1 Female Asian 12 3.45 Negative 80 Male Asian 58 3.5 Negative 35 Male Asian 66 3.5 Negative 35 Male Asian 53 3.7 Negative 1000 Male Black 26 3.73 Negative 400 Male White 48 3.81 Negative 600 Male White 39 3.81 Negative 600 Male White 61 3.82 Negative 6 Male White 55 4.02 Negative 10 Female Black 73 4.08 Positive 300 Female Asian 62 4.08 Positive 300 Female White 74 4.12 Positive 400 Female Black 74 4.14 Negative 500 Female White 80 4.16 Negative 1000 Female Black 84 4.16 Negative 1000 Male White 63 4.16 Negative 500 Female White 43 4.17 Negative 10 Male White 48 4.17 Positive 300 Male Asian 45 4.19 Negative 400 Male White 69 4.26 Positive 300 Female White 69 4.26 Positive 300 Male Black 61 4.3 Positive 200 Female White 74 4.3 Positive 200 Female White 34 4.56 Positive 300 Female White 26 4.56 Positive 300 Male White 41 4.59 Negative 2000 Female Hispanic 47 4.67 Negative 10 Researchers want to study Drug-induced liver injury (DILI). DILIscore in the data set indicates how serious the injury is. From the data, please answer the following questions: Multivariate analysis: build a multiple regression model for DILIscore and summarize your results.

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

See similar textbooks

Related questions

Question

patientgender	race	patientage	diliscore	ro2_group	dailydose
Female	White	76	0.43	Negative	10
Female	Black	76	0.43	Negative	10
Female	White	34	0.66	Negative	1.5
Female	White	67	1.38	Negative	10
Male	White	83	1.38	Negative	10
Male	White	64	1.39	Negative	10
Female	Black	49	1.71	Negative	10
Female	Black	33	1.98	Negative	10
Male	Black	55	2.05	Negative	40
Female	White	74	2.44	Negative	20
Female	White	30	2.54	Negative	20
Male	Asian	44	2.6	Negative	75
Male	Asian	32	2.73	Negative	100
Male	Hispanic	59	2.74	Negative	50
Female	Hispanic	67	3.08	Negative	500
Male	White	32	3.08	Negative	300
Male	White	43	3.08	Negative	300
Male	White	32	3.23	Negative	200
Male	White	45	3.29	Negative	400
Male	White	36	3.29	Negative	400
Female	White	10	3.29	Negative	400
Female	Asian	32	3.33	Negative	1
Female	Asian	12	3.45	Negative	80
Male	Asian	58	3.5	Negative	35
Male	Asian	66	3.5	Negative	35
Male	Asian	53	3.7	Negative	1000
Male	Black	26	3.73	Negative	400
Male	White	48	3.81	Negative	600
Male	White	39	3.81	Negative	600
Male	White	61	3.82	Negative	6
Male	White	55	4.02	Negative	10
Female	Black	73	4.08	Positive	300
Female	Asian	62	4.08	Positive	300
Female	White	74	4.12	Positive	400
Female	Black	74	4.14	Negative	500
Female	White	80	4.16	Negative	1000
Female	Black	84	4.16	Negative	1000
Male	White	63	4.16	Negative	500
Female	White	43	4.17	Negative	10
Male	White	48	4.17	Positive	300
Male	Asian	45	4.19	Negative	400
Male	White	69	4.26	Positive	300
Female	White	69	4.26	Positive	300
Male	Black	61	4.3	Positive	200
Female	White	74	4.3	Positive	200
Female	White	34	4.56	Positive	300
Female	White	26	4.56	Positive	300
Male	White	41	4.59	Negative	2000
Female	Hispanic	47	4.67	Negative	10

Researchers want to study Drug-induced liver injury (DILI). DILIscore in the data set indicates how serious the injury is. From the data, please answer the following questions:

Multivariate analysis: build a multiple regression model for DILIscore and summarize your results.

Expert Solution

Trending now

This is a popular solution!

Step by step

Solved in 2 steps with 2 images

SEE SOLUTION Check out a sample Q&A here

Knowledge Booster

$Groups$

Learn more about

Need a deep-dive on the concept behind this application? Look no further. Learn more about this topic, statistics and related others by exploring similar questions and additional content below.