To solve the problem, we will first create a linear function based on the given population data from the years 2000 to 2100.
Part (a)
We will use the data points to find a linear function of the form \( f(x) = mx + b \), where \( x \) is the number of years after 2000 and \( f(x) \) is the population in millions.
The data points we will use from the table are:
- \( (0, 282.6) \) corresponding to the year 2000
- \( (100, 575.9) \) corresponding to the year 2100
Calculating the slope \( m \):
\[ m = \frac{f(100) - f(0)}{100 - 0} = \frac{575.9 - 282.6}{100 - 0} = \frac{293.3}{100} = 2.933 \]
Calculating the intercept \( b \):
Using the point \( (0, 282.6) \): \[ f(0) = m \cdot 0 + b \implies b = 282.6 \]
Thus, the linear function that models the data is: \[ f(x) = 2.933x + 282.6 \]
Part (b)
Next, we will find \( f(70) \):
\[ f(70) = 2.933 \times 70 + 282.6 = 205.31 + 282.6 = 487.91 \]
Rounding to one decimal place: \[ f(70) \approx 487.9 \]
State what the value means:
- The value \( f(70) \) means the projected population is 487.9 million in the year 2070 (since \( 70 \) years after 2000 is the year 2070).
Part (c)
To find the population in the year 2080 using the model:
\[ f(80) = 2.933 \times 80 + 282.6 = 234.64 + 282.6 = 517.24 \]
Rounding to one decimal place: \[ f(80) \approx 517.2 \]
How does this compare with the value in the table:
The table shows the population in 2080 as 505.9 million.
Comparing the values:
- The model predicts 517.2 million, which is slightly higher than the table value of 505.9 million.
Conclusion: Thus, the answer for how this compares with the table value is: B. This value is fairly close to the table value.
Summary of Answers:
- Part (a): \( f(x) = 2.933x + 282.6 \)
- Part (b): \( f(70) \approx 487.9 \) (The projected population is 487.9 million in the year 2070)
- Part (c): The population in the year 2080 will be \( 517.2 \) million (This value is fairly close to the table value).