7. For each unit increase in the air pollution index, on average the number of admissions for respiratory distress (a) increases by about 0.88 (b) increases by about 13.6 (c) increases by about 10.4 (d) decreases by about 16.2 (e) changes by an indeterminate amount 8. For days on which the air pollution index is 5.5, the average number of admissions for respiratory distress is predicted to be about: (a) 58.6 (b) 91 (c) 74.8 (d) 10.4 (e) 31.2 9. The coefficient of determination, which gives proportion of the variability in the number of admissions for respiratory distress that is accounted for by the level of air pollution, is about: (a) 0.10 (b) 0.88 (c) 0.78 (d) 0.14 (e) 0.93
7. For each unit increase in the air pollution index, on average the number of admissions for respiratory distress (a) increases by about 0.88 (b) increases by about 13.6 (c) increases by about 10.4 (d) decreases by about 16.2 (e) changes by an indeterminate amount 8. For days on which the air pollution index is 5.5, the average number of admissions for respiratory distress is predicted to be about: (a) 58.6 (b) 91 (c) 74.8 (d) 10.4 (e) 31.2 9. The coefficient of determination, which gives proportion of the variability in the number of admissions for respiratory distress that is accounted for by the level of air pollution, is about: (a) 0.10 (b) 0.88 (c) 0.78 (d) 0.14 (e) 0.93
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Transcribed Image Text:Problems 7, 8, 9 pertain to the following information. The health department of a combined city and county
government seeks to determine the relationship between an air pollution index (on a scale of 0 to 10 from
best to worst) and the number of admissions to area hospitals for acute respiratory distress. It collects data
from 75 randomly selected days (the air pollution index z and the number of admissions y for each day) and
computes:
3.0 <x< 8.2
27 < y< 102
ŷ = 13.6x – 16.2
r = 0.884
r? = 0.782
Se = 10.409

Transcribed Image Text:7. For each unit increase in the air pollution index, on average the number of admissions for respiratory
distress
(a) increases by about 0.88
(b) increases by about 13.6
(c) increases by about 10.4
(d) decreases by about 16.2
(e) changes by an indeterminate amount
8. For days on which the air pollution index is 5.5, the average number of admissions for respiratory
distress is predicted to be about:
(a) 58.6
(b) 91
(c) 74.8
(d) 10.4
(e) 31.2
9. The coefficient of determination, which gives proportion of the variability in the number of admissions
for respiratory distress that is accounted for by the level of air pollution, is about:
(a) 0.10
(b) 0.88
(c) 0.78
(d) 0.14
(e) 0.93
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