The accompanying data file contains 10 observations with two variables, x1 and x2. a. Using the original values, compute the Euclidean distance between the first two observations. Note: Round intermediate calculations to at least 4 decimal places and your final answer to 2 decimal places. b. Using the original values, compute the Manhattan distance between the first two observations. Note: Round your final answer to 2 decimal places. c. Use z-scores to standardize the values, and then compute the Euclidean distance between the first two observations. Note: Round intermediate calculations to at least 4 decimal places and your final answer to 2 decimal places. d. Use the min-max transformation to normalize the values, and then compute the Euclidean distance between the first two observations. Note: Round intermediate calculations to at least 4 decimal places and your final answer to 2 decimal places. \begin{tabular}{|c|r|r|} \hline \multicolumn{2}{|c|}{ D20 } & \multicolumn{1}{c|}{fx} \\ \hline & & \\ \hline & A & B \\ \hline 1 & x1 & \\ \hline 2 & 4.16 & 2.84 \\ \hline 3 & 9.42 & 3.62 \\ \hline 4 & 7.5 & 3.06 \\ \hline 5 & 9.12 & 3.75 \\ \hline 6 & 2.04 & 2.15 \\ \hline 7 & 5.57 & 3.04 \\ \hline 8 & 4.16 & 1.26 \\ \hline 9 & 6.99 & 3.66 \\ \hline 10 & 3.75 & 2.99 \\ \hline 11 & 5.47 & 2.87 \\ \hline \end{tabular}