Problem

Classified ads in the local paper offered several used model A cars for sale. Listed to the right are the ages of the cars and the advertised pricos. Completo parts a through $f$.
\begin{tabular}{c|l|c|l|}
\multicolumn{2}{c}{} & \multicolumn{2}{r}{ Full data set 은 } \\
\hline Age (yr) & Price Advertised (\$) & Age (yr) & Price Advertised (\$) \\
\hline 1 & $12,975,10,960$ & 6 & 5985,4945 \\
2 & 10,490 & 9 & $3205,2250,3985$ \\
3 & $10,975,10,970$ & 11 & 2940,2975 \\
4 & 6970,7975 & 13 & 1740 \\
5 & 8710,6965 & &
\end{tabular}
b) Describe the association between year and price.
A. There is a strong negalive linear association between age and price of the model $A$ cars.
B. There is a weak positive linear association between age and price of the model A cars.
C. There is a weak negative linear association between age and price of the model A cars.
D. There is a strong positive linear association between age and price of the model A cars.
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Final Answer: \(\boxed{\text{A. There is a strong negative linear association between age and price of the model A cars.}}\)

Steps

Step 1 :Organize the data into two lists: one for the ages of the cars and one for the prices.

Step 2 :Calculate the correlation coefficient using these lists. The correlation coefficient indicates the strength and direction of the association. A positive correlation coefficient indicates a positive linear association (as age increases, price increases), while a negative correlation coefficient indicates a negative linear association (as age increases, price decreases). A correlation coefficient close to 1 or -1 indicates a strong association, while a correlation coefficient close to 0 indicates a weak association.

Step 3 :The correlation coefficient is approximately -0.945, which is close to -1. This indicates a strong negative linear association between the age of the cars and their advertised prices. As the age of the car increases, the price decreases.

Step 4 :Final Answer: \(\boxed{\text{A. There is a strong negative linear association between age and price of the model A cars.}}\)

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