1. To find the data, we can use the formula:
y = 92000(0.9)^x
where y is the number of fans remaining in the stadium after x minutes.
Using this formula, we can plug in x values from 0 to 30 (or more) to generate a table of values:
| x | y |
|------|---------|
| 0 | 92000 |
| 1 | 82800 |
| 2 | 74520 |
| 3 | 67068 |
| 4 | 60361 |
| 5 | 54325 |
| 6 | 48892 |
| 7 | 43903 |
| 8 | 39313 |
| 9 | 35082 |
| 10 | 31174 |
2. Here is a scatter plot based on the above data:
The x-axis represents the time in minutes, and the y-axis represents the number of fans remaining in the stadium.
3. The exponential equation that best fits the data is:
y = 92000(0.9)^x
where y is the number of fans remaining in the stadium after x minutes.
4. In the equation y = ab^x, a represents the initial value or starting point, and b represents the rate of change or growth factor. In this case, a = 92000 represents the initial number of fans in the stadium, and b = 0.9 represents the rate at which the number of fans decreases per minute. The units of a are fans, and the units of b are fans per minute.
5. To find out how long it will take before the stadium is half empty, we need to solve the equation y = 0.5a for x:
0.5a = 92000(0.9)^x
0.5(92000) = 92000(0.9)^x
0.5 = 0.9^x
Taking the logarithm of both sides, we get:
log(0.5) = x log(0.9)
x = log(0.5) / log(0.9)
x ≈ 7.72 minutes
Therefore, it will take approximately 7.72 minutes for the stadium to be half empty.
To find out how long it will take for the stadium to be completely empty, we need to solve the equation y = 0 for x:
0 = 92000(0.9)^x
Taking the logarithm of both sides, we get:
log(0) = x log(0.9)
This equation has no real solution, which means that the stadium will never be completely empty (in theory). However, in practice, the number of fans will eventually become small enough that it can be considered empty for all practical purposes.