The accompanying data file contains 10 observations with two variables, x1 and x2. 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. Using the original values, compute the Manhattan distance between the first two observations. Note: Round your final answer to 2 decimal places. 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. 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. x1 x2 3.61 2.86 8.79 4.2 7.23 3.69 9.07 3.24 2.31 1.99 6.26 3.01 4.43 1.22 6.66 3.22 3.98 2.34 5.45 3.53.

1. The accompanying data file contains 10 observations with two variables, x1 and x2.
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.
Using the original values, compute the Manhattan distance between the first two observations.
Note: Round your final answer to 2 decimal places.
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.
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.
x1 x2
3.61 2.86
8.79 4.2
7.23 3.69
9.07 3.24
2.31 1.99
6.26 3.01
4.43 1.22
6.66 3.22
3.98 2.34
5.45 3.53