To solve the problem, we start with finding a linear function that models the population based on the given data from the years 2000 to 2100.
Part 1: Finding a Linear Function
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Determine Points: For a linear function \( f(x) = mx + b \):
- Let \( x \) be the number of years after 2000.
- Using data points for \( (0, 284.7) \) and \( (100, 572.2) \).
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Calculate Slope \( m \): \[ m = \frac{(572.2 - 284.7)}{(100 - 0)} = \frac{287.5}{100} = 2.875 \]
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Calculate Intercept \( b \): We can use one of the points to find \( b \). Using the point \( (0, 284.7) \): \[ f(0) = 2.875(0) + b \implies b = 284.7 \]
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Linear Function: Thus, the linear function is: \[ f(x) = 2.875x + 284.7 \]
Part 2: Find \( f(60) \) and Interpret
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Calculate \( f(60) \): \[ f(60) = 2.875(60) + 284.7 = 172.5 + 284.7 = 457.2 \] (Rounded to one decimal place, \( f(60) = 457.2 \))
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Interpretation:
- The value of \( f(60) \) means:
- A. The projected population is 457.2 million in the year 2060.
- The value of \( f(60) \) means:
Part 3: Predict Population in 2080
- Calculate Population for 2080 \( (x = 80) \): \[ f(80) = 2.875(80) + 284.7 = 230 + 284.7 = 514.7 \] (Rounded to one decimal place, \( f(80) = 514.7 \))
Part 4: Compare with Table Value
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Table Value for 2080: 505.7 million.
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Comparison:
- The value predicted by the model \( f(80) = 514.7 \) is compared to the table value \( 505.7 \).
- Answer: A. This value is fairly close to the table value.
Summary of Answers
- Part 1: \( f(x) = 2.875x + 284.7 \)
- Part 2: \( f(60) = 457.2 \) million, meaning the projected population is 457.2 million in the year 2060.
- Part 3: The population in the year 2080 will be 514.7 million.
- Part 4: This value is fairly close to the table value.