Question
The following table gives projections of the population of a country from 2000 to 2100.
Answer parts (a) through (c).
Year
Population (millions)
Year
Population (millions)
2000
284.1
2060
434.8
2010
303.1
2070
470.1
2020
331.9
2080
499.4
2030
353.3
2090
540.2
2040
382.6
2100
577.8
2050
409.1
Question content area bottom
Part 1
(a) Find a linear function that models the data, with x equal to the number of years after 2000 and f(x) equal to the population in millions.
Answer parts (a) through (c).
Year
Population (millions)
Year
Population (millions)
2000
284.1
2060
434.8
2010
303.1
2070
470.1
2020
331.9
2080
499.4
2030
353.3
2090
540.2
2040
382.6
2100
577.8
2050
409.1
Question content area bottom
Part 1
(a) Find a linear function that models the data, with x equal to the number of years after 2000 and f(x) equal to the population in millions.
Answers
GPT-4o mini
To find a linear function that models the population data, we first need to determine two points that we can use to formulate a linear equation of the form \( f(x) = mx + b \), where \( m \) is the slope and \( b \) is the y-intercept.
From the provided data, we can choose two points. For this example, let’s use the years 2000 and 2100:
1. For the year 2000 (\( x = 0 \)):
- Population = 284.1 million → point (0, 284.1)
2. For the year 2100 (\( x = 100 \)):
- Population = 577.8 million → point (100, 577.8)
### Step 1: Calculate the slope \( m \)
The slope \( m \) can be calculated using the formula:
\[
m = \frac{y_2 - y_1}{x_2 - x_1}
\]
Substituting the points we have:
\[
m = \frac{577.8 - 284.1}{100 - 0} = \frac{293.7}{100} = 2.937
\]
### Step 2: Find the y-intercept \( b \)
Now we can use one of the points to calculate \( b \). We'll use the point (0, 284.1):
\[
f(0) = m(0) + b \implies 284.1 = 2.937(0) + b \implies b = 284.1
\]
### Step 3: Write the linear function
Now we can write the linear function that models the population:
\[
f(x) = 2.937x + 284.1
\]
### Conclusion
The linear function that models the population of the country based on the data provided is:
\[
f(x) = 2.937x + 284.1
\]
where \( x \) is the number of years after 2000, and \( f(x) \) is the population in millions.
From the provided data, we can choose two points. For this example, let’s use the years 2000 and 2100:
1. For the year 2000 (\( x = 0 \)):
- Population = 284.1 million → point (0, 284.1)
2. For the year 2100 (\( x = 100 \)):
- Population = 577.8 million → point (100, 577.8)
### Step 1: Calculate the slope \( m \)
The slope \( m \) can be calculated using the formula:
\[
m = \frac{y_2 - y_1}{x_2 - x_1}
\]
Substituting the points we have:
\[
m = \frac{577.8 - 284.1}{100 - 0} = \frac{293.7}{100} = 2.937
\]
### Step 2: Find the y-intercept \( b \)
Now we can use one of the points to calculate \( b \). We'll use the point (0, 284.1):
\[
f(0) = m(0) + b \implies 284.1 = 2.937(0) + b \implies b = 284.1
\]
### Step 3: Write the linear function
Now we can write the linear function that models the population:
\[
f(x) = 2.937x + 284.1
\]
### Conclusion
The linear function that models the population of the country based on the data provided is:
\[
f(x) = 2.937x + 284.1
\]
where \( x \) is the number of years after 2000, and \( f(x) \) is the population in millions.