. The number of murders and robberies per 100,000 population for a random selection of states are shown. Given the equation of the regression line is y' 25.333x-13.151, predict the number of robberies when x = 4.5 murders. %3D %3D Murders, x Robberies, y 2.4 2.7 5.6 2.6 2.1 3.3 6.6 5.7 25.3 14.3 151.6 91.1 80 49 17.3 95.8
. The number of murders and robberies per 100,000 population for a random selection of states are shown. Given the equation of the regression line is y' 25.333x-13.151, predict the number of robberies when x = 4.5 murders. %3D %3D Murders, x Robberies, y 2.4 2.7 5.6 2.6 2.1 3.3 6.6 5.7 25.3 14.3 151.6 91.1 80 49 17.3 95.8
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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17.

Transcribed Image Text:A) Read aloud
V Draw
have a higher income than those who live in rural areas? Show all steps of the hypothesis test you
conduct.
17. The number of murders and robberies per 100,000 population for a random selection of states are
shown. Given the equation of the regression line is y' = 25.333x- 13.151, predict the number of
robberies when x = 4.5 murders.
Murders, x
2.4
2.7
5.6
2.6
2.1
3.3
6.6
5.7
Robberies, y
25.3
14.3
151.6
91.1
80
49
17.3
95.8
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