01. In a cluster analysis, we identify four clusters and their sizes while deriving the averages of three descriptor variables for each cluster CLUSTER Note Salary-current annual salary in AUD Cender-1 if male, 0 otherwise, City-1 if live in city 0 otherwise SIZE 21 (12.8%) 68 (41.5%) 41(25.0%) 34 (26,7%) Based on the clustering results, which of the following is NOT a valid observation that can be made? SALARY 150,900 60,873 102,310 $2,000 O Cluster 2 has the most observations of participants that live in city Ob Cluster 3 has the most observations of female participants Oe To target Cluster 1, the firm should focus on female consumers who live in city and have the highest average salary Od To target Cluster 4, the firm may need more descriptor variables GENDER 0.301 0.476 0.415 0.539 CITY 0857 0515 0.756 0.471

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01. In a cluster analysis, we identify four clusters and their sizes while deriving the averages of three descriptor variables for each cluster
CLUSTER
SALARY
SIZE
21 (128)
3
68(41.5%)
41(25.0%)
34 (20.7%)
Nole
Salary current annual salary in AUD
Cender 1 if male, 0 otherwise,
City-1 if live in city 0 otherwise
Based on the clustering results, which of the following is NOT a valid observation that can be made?
158,900
60,873
102,390
82.000
O Cluster 2 has the most observations of participants that live in city
Ob Cluster 3 has the most observations of female participants
O To target Cluster 1, the firm should focus on female consumers who live in city and have the highest average salary
Od To target Cluster 4, the firm may need more descriptor variables
GENDER
0.301.
0.476
0.415
0.529
CITY
0.357
0515
0.756
0.471
Transcribed Image Text:01. In a cluster analysis, we identify four clusters and their sizes while deriving the averages of three descriptor variables for each cluster CLUSTER SALARY SIZE 21 (128) 3 68(41.5%) 41(25.0%) 34 (20.7%) Nole Salary current annual salary in AUD Cender 1 if male, 0 otherwise, City-1 if live in city 0 otherwise Based on the clustering results, which of the following is NOT a valid observation that can be made? 158,900 60,873 102,390 82.000 O Cluster 2 has the most observations of participants that live in city Ob Cluster 3 has the most observations of female participants O To target Cluster 1, the firm should focus on female consumers who live in city and have the highest average salary Od To target Cluster 4, the firm may need more descriptor variables GENDER 0.301. 0.476 0.415 0.529 CITY 0.357 0515 0.756 0.471
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