To provide a complete answer, I would need the specific values for the lines of best fit for Scatter Plot A and Scatter Plot B, as well as details about the associations observed in the scatter plots. However, I can guide you through the typical process and types of answers you might provide with hypothetical data.
Part A: Write the equation for each line of best fit
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Line of Best Fit for Scatter Plot A (Mileage vs. Sale Price): Suppose the equation is given by \( y = -0.10x + 15,000 \). (This means that for each additional mile, the price decreases by $0.10, starting from an intercept of $15,000.)
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Line of Best Fit for Scatter Plot B (Age vs. Sale Price): Suppose the equation is given by \( y = -2,000x + 20,000 \). (This indicates that the price decreases by $2,000 for each additional year of age, starting from an intercept of $20,000.)
Part B: The sale price of the model of car that Kara owns
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If we assume that the sale price decreases by a certain amount each year, based on the equation from Part A or Part B, it might look something like this:
"The sale price of the model of car that Kara owns decreases by $2,000 each year as it ages."
Part C: Describe the strength and direction of the linear association between mileage and sale price of a used vehicle of this type.
- You might conclude:
"There is a strong negative association between mileage and sale price of a used vehicle of this type."
In this case, a negative association means that as mileage increases, the sale price tends to decrease, and strength indicates how closely the data points fit the trend of the line of best fit (a strong negative association suggests the points are closely clustered around the line).
These answers would depend on the actual data you have from the scatter plots. If you can provide the equations or any data points, I could adjust the responses accordingly!
2 answers