Final answer:
1. The rate of change in the problem is the increase of $220 per year in the poverty threshold, which represents the slope of a linear function modeling the poverty threshold. 2. If we set x=0 as 1980, the y-intercept for our function is $4,190. 3. The linear function describing the poverty threshold in terms of years after 1980 is y = 220x + 4190. Using this function, the estimated poverty threshold in 2010 is $11,090 and it will take more than 48 years after 1980 for the threshold to pass $15,000 per year. 4. The accuracy of the model in predicting the most recent poverty threshold would require comparing the value predicted by the linear function to the actual value.
Step-by-step explanation:
1. The piece of information in the problem that represents a rate of change is the increase of $220 per year in the poverty threshold. In a linear function modeling the poverty threshold, this rate of change would be represented by the slope of the function.
2. If we decide that x=0 corresponds to 1980, the y-intercept for our function would be $4,190, which is the poverty threshold in 1980.
3. To write a linear function that describes the poverty threshold in dollars in terms of years after 1980, we can use the slope-intercept form of a linear function: y = mx + b. The slope (m) is the rate of change of $220 per year and the y-intercept (b) is $4,190. So, the function would be y = 220x + 4190. Using this function, we can estimate the poverty threshold in 2010 by substituting x = 2010 - 1980 = 30 into the function: y = 220(30) + 4190 = $11,090. To find the year that the poverty threshold will pass $15,000 per year, we can set y = 15,000 and solve for x: 15,000 = 220x + 4190. Solving this equation, we find x > 48. So, it will take more than 48 years after 1980 for the poverty threshold to pass $15,000 per year.
4. The most recent poverty threshold set by the Census Bureau can be found by using the Internet. Discussing the accuracy of the model in predicting that value would require knowing the most recent poverty threshold and comparing it to the value predicted by the linear function.