Answer:
The change in the people attending per game is 14.7 times as great as the change in the number of lost games.
This mean every game is lost, 14.7 less people (as the slope is negative) attend the next game.
Step-by-step explanation:
To calculate the slope, we need to relate two points of the function.
The slope 
of the function 
can be calculated as
We have the point (x=8, y=256) when it says 265 people attended the next game after the team lost 8 games.
The second point is (x=15, y=153) when it says 153 people attended the next game after the team lost 15 games.
We can write
Answer:41
Step-by-step explanation:
The proportion of left-handed people in the general population is about 0.1. Suppose a random sample of 225 people is observed.
1. What is the sampling distribution of the sample proportion (p-hat)? In other words, what can we say about the behavior of the different possible values of the sample proportion that we can get when we take such a sample?
(Note: normal approximation is valid because .1(225) = 22.5 and .9(225) = 202.5 are both more than 10.)
2. Since the sample proportion has a normal distribution, its values follow the Standard Deviation Rule. What interval is almost certain (probability .997) to contain the sample proportion of left-handed people?
3. In a sample of 225 people, would it be unusual to find that 40 people in the sample are left-handed?
4. Find the approximate probability of at least 27 in 225 (proportion .12) being left-handed. In other words, what is P(p-hat ? 0.12)?
Guidance: Note that 0.12 is exactly 1 standard deviation (0.02) above the mean (0.1). Now use the Standard Deviation Rule.
Y - y1 = m(x - x1)
slope(m) = 3
(4,7)....x1 = 4 and y1 = 7
now we sub
y - 7 = 3(x - 4) <==
