To analyze the slope and the y-intercept from the given data, we can derive the following:
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Y-Intercept: The y-intercept corresponds to the population when \(x = 0\), which is when the year is 1900. According to the data, the population at this point is approximately 20 thousand. Therefore, the y-intercept indicates that the initial population of the city in the year 1900 was 20,000.
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Slope: The slope represents the rate of change of the population with respect to the years since 1900. The slope can be calculated using two points from the graph. Let's take the points corresponding to year 0 and year 60:
- At year 0 (1900), population = 20 thousand.
- At year 60 (1960), population = 57 thousand.
Using the slope formula \( m = \frac{y_2 - y_1}{x_2 - x_1} \):
- \( y_1 = 20 \), \( y_2 = 57 \)
- \( x_1 = 0 \), \( x_2 = 60 \)
Calculating the slope: \[ m = \frac{57 - 20}{60 - 0} = \frac{37}{60} \approx 0.617 \text{ (thousand per year)} \]
This implies that approximately 617 additional people (since the population is in thousands) are added to the city's population each year.
Taking all of this into account, the statements presented can be analyzed:
- For every year since 1900, the population grew by approximately 650. In 1900, the population was 20,000. (Correct slope and intercept)
Based on this, the statement that best matches our analysis is:
For every year since 1900, the population grew by approximately 650. In 1900, the population was 20,000.