Part 1: Finding the Linear Function
To find the linear function that models severe obesity, we have the data points for years after 2000 (x) and the corresponding percent of severe obesity (y). We can derive the linear function in the form \( y = mx + b \), where \( m \) is the slope and \( b \) is the y-intercept.
Using the data points:
- (0, 2.3)
- (10, 4.8)
- (15, 6.5)
- (20, 7.8)
- (25, 9.3)
- (30, 11.1)
We can calculate the slope between two points. For instance, between the years 0 (2000) and 10 (2010):
\[ m = \frac{y_2 - y_1}{x_2 - x_1} = \frac{4.8 - 2.3}{10 - 0} = \frac{2.5}{10} = 0.25 \]
However, to find the overall slope that fits all the data points, we can simply use the first and last points:
- (0, 2.3)
- (30, 11.1)
Calculating the slope (m):
\[ m = \frac{11.1 - 2.3}{30 - 0} = \frac{8.8}{30} \approx 0.293 \]
The y-intercept (b) is simply the value of y when x = 0, which is 2.3. Therefore, the linear function is:
\[ y = 0.293x + 2.3 \]
Part 2: Graphing the Model and Comment on the Fit
Given the options for the graph:
Your Choice:
D. "A coordinate system has a horizontal axis with tick marks dividing it into 7 regular intervals to the right of the vertical axis and has a vertical axis with tick marks dividing it into 14 intervals above the horizontal axis. The following points are plotted: (0, 2.3); (5, 4.8); (10, 6.5); (15, 7.8); (20, 9.3); (25, 11.1). A line rises from left to right and passes through the points (0, 4.1) and (30, 12.9). All plotted points are on or below the line. All values are approximate."
Correct Answer:
The answer that correctly indicates the plotted points being on/close to the fitted line is:
C:
- A line rises from left to right and passes through the points (0, 2.1) and (30, 10.9). All plotted points are on or close to the line.
This indicates that there is a good fit between the model and the data points.
Part 3: Comment on the Fit
Since the graph of the model is close to the data points, the model is a(n) good fit to the data.
Part 4: Rate of Growth
The function shows that severe obesity increases by the slope (m), which we calculated as approximately 0.293 percentage points per year.
To find the rate per 5 years, you multiply by 5:
\[ \text{Rate per 5 years} = 0.293 \times 5 \approx 1.465 \]
Final Answer Summary:
- Linear function: \( y = 0.293x + 2.3 \)
- The model is a good fit to the data points.
- The rate of growth of severe obesity is approximately \( 1.5 \) percentage points per 5 years (rounded to one decimal place).