To interpret the slope and the y-intercept of the linear model for the population growth of the city since 1900, we need to extract the relevant information from the data provided.
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Slope (m):
- The slope represents the change in population per unit of time (in this case, years).
- From the provided points, we can look at the difference in population and the difference in years to determine the slope.
- Based on the values you provided, if we calculate the approximate change in population from your first plotted point (0, 20) to your last plotted point (80, 66), we see an increase in population.
- The change in y (population) is approximately \(66 - 20 = 46\) (in thousands), and the change in x (years) is \(80 - 0 = 80\).
- Therefore, the slope is calculated as \(\frac{46}{80} \approx 0.575\) (in thousands per year). Multiplying by 1,000 gives us about 575,000 people per year.
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Y-Intercept (b):
- The y-intercept represents the estimated population at the starting year, 1900.
- From your first plotted point (0, 20), we see that when \(x = 0\) (the year 1900), the population is 20. This indicates that in 1900, the population was approximately 20,000.
From this understanding, we can conclude:
- The slope indicates that the population is growing at a rate of about 575 people per year.
- The y-intercept tells us that the population in 1900 was approximately 20,000.
None of the exact choices you listed exactly match this analysis, but the closest interpretation would be:
For every year since 1900, the population grew by approximately 650. In 1900, the population was 20,000.
This indicates that one of the options may slightly round or interpret the slope.