The table below shows the number of state-registered automatic
weapons and the murder rate for several Northwestern
states.
xx | 11.5 | 8.4 | 6.9 | 3.9 | 2.9 | 2.8 | 2.6 | 0.9 |
---|---|---|---|---|---|---|---|---|
yy | 14.1 | 10.9 | 10.1 | 7.5 | 6.4 | 6.6 | 6.1 | 5 |
xx = thousands of automatic weapons
yy = murders per 100,000 residents
This data can be modeled by the linear equation
ˆy=0.86x+4.07y^=0.86x+4.07
Solution:
Given in the question
Predicted regression equation is
Y^ = 0.86*X + 4.07
Here X is thousand automatic weapons
Y is murders per 100,000 residents
Solution(a)
Given X = 9.2 thousand, we need to calculate Y
Y^ = 0.86*X + 4.07 = 0.86*9.2 + 4.07 = 11.982 murders per 100,000
residents
11.982 murders per 100,000 residents can be expected in a state
with 9.2 thousand automatic weapons.
Solution(b)
Given X = 3.8 thousand, we need to calculate Y
Y^ = 0.86*X + 4.07 = 0.86*3.8 + 4.07 = 7.338 murders per 100,000
residents
7.338 murders per 100,000 residents can be expected in a state with
3.8 thousand automatic weapons.
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