1. A regression analysis was performed to determine if there is a relationship between hours of TV watched per day (xx) and number of sit ups a person can do (yy). The results of the regression were:
y=ax+b a=-1.072 b=31.456 r2=0.859329 r=-0.927
Use this to predict the number of sit ups a person who watches 8 hours of TV can do, and please round your answer to a whole number.
2.
The table below shows the number of state-registered automatic
weapons and the murder rate for several Northwestern
states.
xx | 11.5 | 8.4 | 6.6 | 3.4 | 2.6 | 2.2 | 2.7 | 0.9 |
---|---|---|---|---|---|---|---|---|
yy | 13.9 | 11.2 | 9.6 | 6.9 | 5.9 | 6.1 | 6.5 | 5.1 |
xx = thousands of automatic weapons
yy = murders per 100,000 residents
Determine the regression equation in y = ax + b form and write it
below. (Round to 2 decimal places)
A) How many murders per 100,000 residents can be expected in a
state with 5.7 thousand automatic weapons?
Answer = Round to 3 decimal places.
B) How many murders per 100,000 residents can be expected in a
state with 7.9 thousand automatic weapons?
Answer = Round to 3 decimal places.
1)
y = ax + b
y = -1.072x + 31.456
when x = 8
y = -1.072 * 8 + 31.456
y = 23
2)
X | Y | XY | X^2 | Y^2 |
11.5 | 13.9 | 159.85 | 132.25 | 193.21 |
8.4 | 11.2 | 94.08 | 70.56 | 125.44 |
6.6 | 9.6 | 63.36 | 43.56 | 92.16 |
3.4 | 6.9 | 23.46 | 11.56 | 47.61 |
2.6 | 5.9 | 15.34 | 6.76 | 34.81 |
2.2 | 6.1 | 13.42 | 4.84 | 37.21 |
2.7 | 6.5 | 17.55 | 7.29 | 42.25 |
0.9 | 5.1 | 4.59 | 0.81 | 26.01 |
n | 8 |
sum(XY) | 391.65 |
sum(X) | 38.30 |
sum(Y) | 65.20 |
sum(X^2) | 277.63 |
sum(Y^2) | 598.70 |
a | 0.84 |
b | 4.11 |
ycap = ax + b
ycap = 0.84x + 4.11
a)
x = 5.7
ycap = 0.84 * 5.7 + 4.11
ycap = 8.898
b)
x = 7.9
ycap = 0.84 * 7.9 + 4.11
ycap = 10.746
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