Asked by Alyssa Davis on Jul 17, 2024

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The relationship between the selling price (in dollars) of used Ford Escorts and their age (in years) is analyzed.A regression analysis to predict the price from the age gives the model  price ^=14,210−1348\hat{\text { price }} = 14,210 - 1348 price ^=14,2101348 age.You want to sell a 17-year-old Escort.Use the model to determine an appropriate price.Explain any problems.

A) -$22,916 You won't sell a car for a negative amount.The model doesn't give meaningful prices for Escorts this old.
B) $11 The car should be worth more than this.
C) -$37,126 There are no problems with this prediction.
D) $22,916 There is no way the car is worth this much.
E) -$8706 You won't sell a car for a negative amount.The model doesn't give meaningful prices for Escorts this old.

Selling Price

The final amount of money charged for a product or service, representing the cost to the buyer under conditions of sale.

Regression Analysis

Regression analysis is a statistical method used for estimating the relationships among variables, particularly the relationship between a dependent variable and one or more independent variables.

Negative Amount

A value less than zero, indicating a deficit or loss in a numeric context.

  • Achieve insight into the basic understanding of linear regression, concentrating on the application of a regression equation to predict values.
  • Judge the adequacy of a linear model for particular data sets.
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NA
NOOR ATIKA ABDUL MANANJul 21, 2024
Final Answer :
E
Explanation :
The model equation given is: price = 11(age) - 9518. When age = 17, we can plug it into the equation: price = 11(17) - 9518 = $8695. Therefore, the appropriate price for a 17-year-old Escort is $8695 according to the model. However, the model may not be reliable for predicting prices for Escorts that are too old, as the relationship between age and price may not be linear anymore. Additionally, the model may not account for other factors that affect the price of a used car, such as its condition, location, and demand.