A linear model to predict the Price of a 2012 Honda Civic EX (in dollars) from its
Question:
A linear model to predict the Price of a 2012 Honda Civic EX (in dollars) from its Mileage (in miles) was fit to 18 cars that were available during the week of March 1, 2013 (Kelly’s Blue Book,www.kbb.com) within 200 miles of San Francisco, CA. The model was
a) What is the explanatory variable?
b) What is the response variable?
c) What does the slope mean in this context?
d) What does the y-intercept mean in this context? Is it meaningful?
e) What do you predict the price to be for a car with 50,000 miles on it?
f) If the price for a car with 50,000 miles on it was $14,000, what would the residual be?
g) Would that car for $14,000 and 50,000 miles seem like a good deal or a bad deal? Explain.
Transcribed Image Text:
21,253.58 – 0.11097 Mileage Price
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a The problem states that the Price of a used Honda are being predicted from its Mileage in miles The variable being predicted is the response variabl...View the full answer
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