1. Using the Manhattan distance between pairwise observations, which pairwise observation is most similar? Observation x1 x2 1 2 3 2 6 4 3 8 2 A. Observations 2 & 3 B. Observations 1 & 3 C. Observations 1 & 2 D. Both Observations 2 & 3 and l & 3 2. Consider the partial data set in the table represents online hours spent shopping by age and income. The average and standard deviation for the full data set is $47,667 and $14,292, respectively. Using zsccres to standardize the observations, What is the average standard deviation of Income for the three provided? On-Line ID Income Age Hours 2201 62000 48 2 2202 58000 52 4 2203 53000 44 5 A. 1.003 B. 0.7320 C. 0.2410 D. 0.6997 3. The following table is a segment of Loan Data from a bank for car loans. Compute the matching coefficient between pairs 1 and 4. Line Term int rate loan_amnt Sex 1 60 3.58% 35000 F 2 60 4.00% 15350 FW 36 6.71% 12500 M 4 60 6.07% 15350 A. Matching coefficient is 0.50 B. Matching coefficient is 0.25 C. Matching coefficient is 0.75 D. Matching coefficient is 0.404. Sandra began collecting transaction details to see if the same items were in each sales transaction. Compute the matching coefficient and Jaccard's coefficient for pairwise transaction 1 & 2. Transaction Coffee Tea Scone Muffin Cookie 1 Yes No Yes No Yes 2 Yes Yes Yes No No A. Matching Coefficient = 0.60 and Jaccard's = 0.40 B. Matching Coefficient = 0.40 and Jaccard's = 0.50 C. Matching Coefficient = 0.60 and Jaccard's = 0.50 D. Matching Coefficient = 0.40 and Jaccard's = 0.40