help needed from part e to part f

\begin{tabular}{|cc|} \hline Miles (1,000s) & Price ($1,000s) \\ \hline 22 & 16.2 \\ 29 & 16.0 \\ 36 & 13.8 \\ 47 & 11.5 \\ 63 & 12.5 \\ 77 & 12.9 \\ 73 & 11.2 \\ 87 & 13.0 \\ 92 & 11.8 \\ 101 & 10.8 \\ 110 & 8.3 \\ 28 & 12.5 \\ 59 & 11.1 \\ 68 & 15.0 \\ 68 & 12.2 \\ 91 & 13.0 \\ 42 & 15.6 \\ 65 & 12.7 \\ 110 & 8.3 \\ \hline \end{tabular} (e) For the model estimated in part (b), calculate the predicted price and residual for each automobile in the data. Identify the two automobiles that were the biggest bargains. If required, round your answer to the nearest whole number. The best bargain is the Camry \# in the data set, which has miles, and sells for $ less than its predicted price. The second best bargain is the Camry \# in the data set, which has miles, and sells for $ less than its predicted price. (f) Suppose that you are considering purchasing a previously owned Camry that has been driven 40,000 miles. Use the estimated regression equation developed in part (b) to predict the price for this car. If required, round your answer to one decimal place. Do not round intermediate calculations. Enter your answer in dollars. For example, 12 thousand should be entered as 12,000 . Predicted price: $