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em 2016 Tw221:50 Final Cluster Centers Cluster 1 2 244 200 3.00 233 2673 Var2 vara vart vars 3.67 230 3.50 2.56 287 4.00 33 23 201 421 356200 19 3.57 410 2.78 207 2 267 00215 ware 10 Athing Os then how to As per the reach HOL 2 DN 4 G 9 3 42 5 We 6 8 1 0 9 W R T Y Y U 0 hondag 54,700 10 10 17 11 13 19 17 18 1 Time 222.00 4 24.167 25303 31 34 507 T 18 1 15 17 7 5 + 19 10 18 16 0 Dendrogram using Average Linkage (Between Groups) Rescaled Distance Cluster Combine 10 20 12 16 18 17 16 3 15 14 21 12 12 11 to 4 19 18 . O de Com D * GO $ 4 3 5 1 0 6 7 8 9 W E R Y U I 0 met met210cmid=346673gSection 5642009 35 Time lot 2 22:14 A consumer durable goods company wants to know the various features and services the consumers look at when purchasing through catalogues. The company aims to determine how the various features of Catalogue marketing go together it is reducing features, convenience features etc Following are the starts made by the research am to measure the variaties of perceptions. The respondents have to agree or disagroo (t-Stronglyre 2 Agree Neither agrono disagree 4-Disagre, 5-Strongly Disagree with each timent Vart Company should provide to free numbers Vw2 The company should have good reputation V3 They should have discount schemon based on quantity Val The company should provide guarantowarranty for the product Varb The Company should give the period Vat the sales catalogue should be eye catchy and active Vart The delivery should be on time Var Number of year in mi portant factor Vars Advertisement plays important role in den making Vat should owned customers to return the goods The data was collected from 20 responder and they was adopted to analyze the dateThe wisted by doing dengan SPSS Fig 1. Agglomeration Schedule Stage Cluster Custor Com Ang Cluse Cluster 2 Colu - 0 O D an De wa S 4 A 3 5 6 7 8 9 9 1 0 W E R T Y thamptomid 46673&page Studio554200 39 Stage 5 The data was collected from 20 respondents and duste analysis was adopted to analyze the data The Time 222.09 below is derived by doing clustering using SPSS Fig 1. Agglomeration Schedule Cluster Combined Stage Cluster First Appears Cluster 1 Custer 2 Cofficients Cluster 1 Custer 2 Next Stage 1 12 18 3.000 0 12 2 4 5 8.000 D . 3 2 13 9.000 0 0 4 3 10.000 10 2 18 11 000 18 2 6 11 500 3 0 10 7 10 17 13.000 0 11 B 1 3 15 000 0 12 4 16 16.000 2 10 2 3 6 4 15 11 10 11 18500 7 16 12 19.500 + 15 19 20 21 000 0 10 14 21000 9 0 22 200 12 10 10 10 24 TOT 11 + 1 20 30 6 12 1 14 O 1 TO 14 TE OL U - 0 o D de * - 2. home . 3 A 2 $ 42 . 5 6 7 8 9 W E m R Y U 0 P em 2016 Tw221:50 Final Cluster Centers Cluster 1 2 244 200 3.00 233 2673 Var2 vara vart vars 3.67 230 3.50 2.56 287 4.00 33 23 201 421 356200 19 3.57 410 2.78 207 2 267 00215 ware 10 Athing Os then how to As per the reach HOL 2 DN 4 G 9 3 42 5 We 6 8 1 0 9 W R T Y Y U 0 hondag 54,700 10 10 17 11 13 19 17 18 1 Time 222.00 4 24.167 25303 31 34 507 T 18 1 15 17 7 5 + 19 10 18 16 0 Dendrogram using Average Linkage (Between Groups) Rescaled Distance Cluster Combine 10 20 12 16 18 17 16 3 15 14 21 12 12 11 to 4 19 18 . O de Com D * GO $ 4 3 5 1 0 6 7 8 9 W E R Y U I 0 met met210cmid=346673gSection 5642009 35 Time lot 2 22:14 A consumer durable goods company wants to know the various features and services the consumers look at when purchasing through catalogues. The company aims to determine how the various features of Catalogue marketing go together it is reducing features, convenience features etc Following are the starts made by the research am to measure the variaties of perceptions. The respondents have to agree or disagroo (t-Stronglyre 2 Agree Neither agrono disagree 4-Disagre, 5-Strongly Disagree with each timent Vart Company should provide to free numbers Vw2 The company should have good reputation V3 They should have discount schemon based on quantity Val The company should provide guarantowarranty for the product Varb The Company should give the period Vat the sales catalogue should be eye catchy and active Vart The delivery should be on time Var Number of year in mi portant factor Vars Advertisement plays important role in den making Vat should owned customers to return the goods The data was collected from 20 responder and they was adopted to analyze the dateThe wisted by doing dengan SPSS Fig 1. Agglomeration Schedule Stage Cluster Custor Com Ang Cluse Cluster 2 Colu - 0 O D an De wa S 4 A 3 5 6 7 8 9 9 1 0 W E R T Y thamptomid 46673&page Studio554200 39 Stage 5 The data was collected from 20 respondents and duste analysis was adopted to analyze the data The Time 222.09 below is derived by doing clustering using SPSS Fig 1. Agglomeration Schedule Cluster Combined Stage Cluster First Appears Cluster 1 Custer 2 Cofficients Cluster 1 Custer 2 Next Stage 1 12 18 3.000 0 12 2 4 5 8.000 D . 3 2 13 9.000 0 0 4 3 10.000 10 2 18 11 000 18 2 6 11 500 3 0 10 7 10 17 13.000 0 11 B 1 3 15 000 0 12 4 16 16.000 2 10 2 3 6 4 15 11 10 11 18500 7 16 12 19.500 + 15 19 20 21 000 0 10 14 21000 9 0 22 200 12 10 10 10 24 TOT 11 + 1 20 30 6 12 1 14 O 1 TO 14 TE OL U - 0 o D de * - 2. home . 3 A 2 $ 42 . 5 6 7 8 9 W E m R Y U 0 P