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"meta_title": "[Solved] II. Problems - Use SAS for your computati | SolutionInn",
"meta_description": "Answer of - II. Problems - Use SAS for your computations. You have to show your work. No credit without an explanation (30 marks e | SolutionInn",
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"question_title_h1": "II. Problems - Use SAS for your computations. You have to show your work. No credit without an explanation (30 marks each). 1. A European",
"question_title": "II. Problems - Use SAS for your computations. You have to show",
"question_title_for_js_snippet": "II Problems Use SAS for your computations You have to show your work No credit without an explanation (30 marks each) 1 A European bank wants to offer a long term investment opportunity to its clients at a reduced price As the clients will be individually contacted by phone by bank representatives, the bank wants to identify and target all the clients that are most likely to accept the offer, in order to use its resources efficiently A sample of 3000 clients have already been contacted The data is in the file ps2 sas7bdat The variables description is in the Appendix 1 You have to develop a logistic regression model with the 3000 clients to predict the Y variable (did the client subscribe to the term deposit yeso) with the help of the provided explanatory variables The file ps2 score sas7bdat contains the clients for which a prediction of Y is needed (10 394 clients) This file contains the explanatory variables but not the variable Y It also contains a client identification variable ID The performance criterion to evaluate your model will be the rate of correct classification Explain clearly your methodology and describe the chosen model (which variables were used) 2 The Utah tourist office in the United States did a survey with 200 people living in the country A questionnaire with the following questions was used On a scale of 1 to 7, where 1 is not important at all and 7 is very important , what importance would you attribute to each of the following elements (a) National parks (b) Museums (c) Hiking (d) Night clubs (e) National forests (f) Ski (g) Historical sites (h) Entertainment (i) Fishing (j) Orchestras (k) Night life (l) Camping (m) State parks (n) Water sports (o) Theater To reduce the number of variables, a factor analysis was performed with those 15 elements The solution with 4 factors was retained Those 4 factors are ressext importance of the quality of outdoor resources items (a), (e), (g) and (m) above culture importance of the quality of cultural activities items (b), (h), (j) and (o) above actext importance of the quality of outside activities items (c), (f), (i), (l) and (n) above nightlife importance of the quality of nightlife items (d) and (k) above The 4 factors were constructed by taking the mean of the variables which are part of the factor The data are in the file ps2q2 sas7bdat The file also contains the age and sex (0 male, 1 female) of the person (a) create a cluster analysis with the 4 factors above ressext, culture, actext and nightlife to segment the individuals You have to give a clear interpretation of each cluster Present the mean of the 4 factors for each cluster Each cluster has to contain at least 30 individuals (6 points) The tourism office wants to assign future visitors to the clusters created in (a) However, the variables resext , culture , actext and nightlife used to do the segmentation are not available for the future visitors who have not taken the questionnaire The variables age and sex are available Develop a model to classify future visitors in one of your clusters using the variables age and sex only, without any transformations or model selection 2 (b) Present the equations which allow to compute the probabilities to belong to each cluster (6 points) (c) Explain how you can use those predicted probabilities to classify each future visitor to one cluster (6 points) (d) Is your model successful in classifying well the original 200 respondents What is the error, i e the percentage of the original 200 respondents that are NOT classified correctly by the model (6 points) (e) The data file ps2q2d sas7bdat contains the age and sex of 3 new visitors Use your model to estimate to which cluster each of them belongs (6 points) (m) State parks II Problems Use SAS for your computations You have to show your work No credit without an explanation (30 marks each) (n) Water sports (o) Theater 1 A European bank wants to offer a long term investment opportunity to its clients at a reduced price As the clients will be individually contacted by phone by bank representatives, the bank wants to To reduce the number of variables, a factor analysis was performed with those 15 elements The identify and target all the clients that are most likely to accept the offer, in order to use its resources solution with 4 factors was retained Those 4 factors are efficiently A sample of 3000 clients have already been contacted The data is in the file ps2 sas7bdat The variables description is in the Appendix ressext importance of the quality of outdoor resources items (a), (e), (g) and (m) above culture importance of the quality of cultural activities items (b), (h), (j) and (o) above actext importance of the quality of outside activities items (c), (f), (i), (1) and (n) above nightlife importance of the quality of nightlife items (d) and (k) above The 4 factors were constructed by taking the mean of the variables which are part of the factor The data are in the file ps2q2 sas7bdat The file also contains the age and sex (0 male, 1 female) of the person (a) Do a cluster analysis with the 4 factors above ressext, culture, actext and nightlife to segment the individuals You have to give a clear interpretation of each cluster Present the mean of the 4 factors for each cluster Each cluster has to contain at least 30 individuals (6 points) The tourism office wants to assign future visitors to the clusters created in (a) However, the vari ables resext , culture , actext and nightlife used to do the segmentation are not available for the future visitors who have not taken the questionnaire The variables age and sex are available Develop a model to classify future visitors in one of your clusters using the variables You have to develop a logistic regression model with the 3000 clients to predict the Y variable (did age and sex only, without any transformations or model selection the client subscribe to the term deposit yeso) with the help of the provided explanatory variables The file ps2 score sas7bdat contains the clients for which a prediction of Y is needed (10 394 clients) 2 This file contains the explanatory variables but not the variable Y It also contains a client identification variable ID The performance criterion to evaluate your model will be the rate of correct classification Explain clearly your methodology and describe the chosen model (which variables were used) 2 The Utah tourist office in the United States did a survey with 200 people living in the country A questionnaire with the following questions was used On a scale of 1 to 7, where 1 is not important at all and 7 is very important , what importance would you attribute to each of the following elements (a) National parks (b) Museums (c) Hiking (d) Night clubs (b) Present the equations which allow to compute the probabilities to belong to each cluster (6 (e) National forests points) (f) Ski (c) Explain how you can use those predicted probabilities to classify each future visitor to one cluster (g) Historical sites (6 points) (h) Entertainment (d) Is your model successful in classifying well the original 200 respondents What is the error, i e the percentage of the original 200 respondents that are NOT classified correctly by the model (i) Fishing (6 points) (j) Orchestras (e) The data file ps2q2d sas7bdat contains the age and sex of 3 new visitors Use your model to (k) Night life estimate to which cluster each of them belongs (6 points) (1) Camping (m) State parks",
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II. Problems - Use SAS for your computations. You have to show your work. No credit without an explanation (30 marks each). 1. A European bank wants to offer a long term investment opportunity to its clients at a reduced price. As the clients will be individually contacted by phone by bank representatives, the bank wants to identify and target all the clients that are most likely to accept the offer, in order to use its resources efficiently. A sample of 3000 clients have already been contacted. The data is in the file ps2.sas7bdat. The variables description is in the Appendix. 1 You have to develop a logistic regression model with the 3000 clients to predict the Y variable (did the client subscribe to the term deposit - yeso) with the help of the provided explanatory variables. The file ps2 score.sas7bdat contains the clients for which a prediction of Y is needed (10 394 clients). This file contains the explanatory variables but not the variable Y. It also contains a client identification variable \"ID\". The performance criterion to evaluate your model will be the rate of correct classification. Explain clearly your methodology and describe the chosen model (which variables were used). 2. The Utah tourist office in the United States did a survey with 200 people living in the country. A questionnaire with the following questions was used. On a scale of 1 to 7, where 1 is \"not important at all\" and 7 is \"very important\", what importance would you attribute to each of the following elements: (a) National parks; (b) Museums; (c) Hiking; (d) Night clubs; (e) National forests; (f) Ski; (g) Historical sites; (h) Entertainment; (i) Fishing; (j) Orchestras; (k) Night life; (l) Camping; (m) State parks; (n) Water sports; (o) Theater; To reduce the number of variables, a factor analysis was performed with those 15 elements. The solution with 4 factors was retained. Those 4 factors are: ? ressext: importance of the quality of outdoor resources: items (a), (e), (g) and (m) above. ? culture: importance of the quality of cultural activities: items (b), (h), (j) and (o) above. ? actext: importance of the quality of outside activities: items (c), (f), (i), (l) and (n) above. ? nightlife: importance of the quality of nightlife: items (d) and (k) above. The 4 factors were constructed by taking the mean of the variables which are part of the factor. The data are in the file ps2q2.sas7bdat. The file also contains the age and sex (0=male, 1=female) of the person. (a) create a cluster analysis with the 4 factors above: ressext, culture, actext and nightlife to segment the individuals. You have to give a clear interpretation of each cluster. Present the mean of the 4 factors for each cluster. Each cluster has to contain at least 30 individuals. (6 points) The tourism office wants to assign future visitors to the clusters created in (a). However, the variables \"resext\", \"culture\", \"actext\" and \"nightlife\" used to do the segmentation are not available for the future visitors who have not taken the questionnaire. The variables \"age\" and \"sex\" are available. Develop a model to classify future visitors in one of your clusters using the variables \"age\" and \"sex\" only, without any transformations or model selection. 2 (b) Present the equations which allow to compute the probabilities to belong to each cluster. (6 points) (c) Explain how you can use those predicted probabilities to classify each future visitor to one cluster. (6 points) (d) Is your model successful in classifying well the original 200 respondents? What is the error, i.e. the percentage of the original 200 respondents that are NOT classified correctly by the model? (6 points) (e) The data file ps2q2d.sas7bdat contains the age and sex of 3 new visitors. Use your model to estimate to which cluster each of them belongs. (6 points)<\/p>
<\/p>
<\/div><\/div><\/div><\/figure> (m) State parks; II. Problems - Use SAS for your computations. You have to show your work. No credit without an explanation (30 marks each). (n) Water sports; (o) Theater; 1. A European bank wants to offer a long term investment opportunity to its clients at a reduced price. As the clients will be individually contacted by phone by bank representatives, the bank wants to To reduce the number of variables, a factor analysis was performed with those 15 elements. The identify and target all the clients that are most likely to accept the offer, in order to use its resources solution with 4 factors was retained. Those 4 factors are: efficiently. A sample of 3000 clients have already been contacted. The data is in the file ps2.sas7bdat. The variables description is in the Appendix. . ressext: importance of the quality of outdoor resources: items (a), (e), (g) and (m) above. . culture: importance of the quality of cultural activities: items (b), (h), (j) and (o) above. . actext: importance of the quality of outside activities: items (c), (f), (i), (1) and (n) above. . nightlife: importance of the quality of nightlife: items (d) and (k) above. The 4 factors were constructed by taking the mean of the variables which are part of the factor. The data are in the file ps2q2.sas7bdat. The file also contains the age and sex (0=male, 1=female) of the person. (a) Do a cluster analysis with the 4 factors above: ressext, culture, actext and nightlife to segment the individuals. You have to give a clear interpretation of each cluster. Present the mean of the 4 factors for each cluster. Each cluster has to contain at least 30 individuals. (6 points) The tourism office wants to assign future visitors to the clusters created in (a). However, the vari- ables \"resext\", \"culture\", \"actext\" and \"nightlife\" used to do the segmentation are not available for the future visitors who have not taken the questionnaire. The variables \"age\" and \"sex\" are available. Develop a model to classify future visitors in one of your clusters using the variables You have to develop a logistic regression model with the 3000 clients to predict the Y variable (did \"age\" and \"sex\" only, without any transformations or model selection. the client subscribe to the term deposit - yeso) with the help of the provided explanatory variables. The file ps2_score.sas7bdat contains the clients for which a prediction of Y is needed (10 394 clients). 2 This file contains the explanatory variables but not the variable Y. It also contains a client identification variable \"ID\". The performance criterion to evaluate your model will be the rate of correct classification. Explain clearly your methodology and describe the chosen model (which variables were used). 2. The Utah tourist office in the United States did a survey with 200 people living in the country. A questionnaire with the following questions was used. On a scale of 1 to 7, where 1 is \"not important at all\" and 7 is \"very important\", what importance would you attribute to each of the following elements: (a) National parks; (b) Museums; (c) Hiking; (d) Night clubs; (b) Present the equations which allow to compute the probabilities to belong to each cluster. (6 (e) National forests; points) (f) Ski; (c) Explain how you can use those predicted probabilities to classify each future visitor to one cluster. (g) Historical sites; (6 points) (h) Entertainment; (d) Is your model successful in classifying well the original 200 respondents? What is the error, i.e. the percentage of the original 200 respondents that are NOT classified correctly by the model? (i) Fishing; (6 points) (j) Orchestras; (e) The data file ps2q2d.sas7bdat contains the age and sex of 3 new visitors. Use your model to (k) Night life; estimate to which cluster each of them belongs. (6 points) (1) Camping; (m) State parks",
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<\/div><\/div><\/div><\/figure> (m) State parks; II. Problems - Use SAS for your computations. You have to show your work. No credit without an explanation (30 marks each). (n) Water sports; (o) Theater; 1. A European bank wants to offer a long term investment opportunity to its clients at a reduced price. As the clients will be individually contacted by phone by bank representatives, the bank wants to To reduce the number of variables, a factor analysis was performed with those 15 elements. The identify and target all the clients that are most likely to accept the offer, in order to use its resources solution with 4 factors was retained. Those 4 factors are: efficiently. A sample of 3000 clients have already been contacted. The data is in the file ps2.sas7bdat. The variables description is in the Appendix. . ressext: importance of the quality of outdoor resources: items (a), (e), (g) and (m) above. . culture: importance of the quality of cultural activities: items (b), (h), (j) and (o) above. . actext: importance of the quality of outside activities: items (c), (f), (i), (1) and (n) above. . nightlife: importance of the quality of nightlife: items (d) and (k) above. The 4 factors were constructed by taking the mean of the variables which are part of the factor. The data are in the file ps2q2.sas7bdat. The file also contains the age and sex (0=male, 1=female) of the person. (a) Do a cluster analysis with the 4 factors above: ressext, culture, actext and nightlife to segment the individuals. You have to give a clear interpretation of each cluster. Present the mean of the 4 factors for each cluster. Each cluster has to contain at least 30 individuals. (6 points) The tourism office wants to assign future visitors to the clusters created in (a). However, the vari- ables \"resext\", \"culture\", \"actext\" and \"nightlife\" used to do the segmentation are not available for the future visitors who have not taken the questionnaire. The variables \"age\" and \"sex\" are available. Develop a model to classify future visitors in one of your clusters using the variables You have to develop a logistic regression model with the 3000 clients to predict the Y variable (did \"age\" and \"sex\" only, without any transformations or model selection. the client subscribe to the term deposit - yeso) with the help of the provided explanatory variables. The file ps2_score.sas7bdat contains the clients for which a prediction of Y is needed (10 394 clients). 2 This file contains the explanatory variables but not the variable Y. It also contains a client identification variable \"ID\". The performance criterion to evaluate your model will be the rate of correct classification. Explain clearly your methodology and describe the chosen model (which variables were used). 2. The Utah tourist office in the United States did a survey with 200 people living in the country. A questionnaire with the following questions was used. On a scale of 1 to 7, where 1 is \"not important at all\" and 7 is \"very important\", what importance would you attribute to each of the following elements: (a) National parks; (b) Museums; (c) Hiking; (d) Night clubs; (b) Present the equations which allow to compute the probabilities to belong to each cluster. (6 (e) National forests; points) (f) Ski; (c) Explain how you can use those predicted probabilities to classify each future visitor to one cluster. (g) Historical sites; (6 points) (h) Entertainment; (d) Is your model successful in classifying well the original 200 respondents? What is the error, i.e. the percentage of the original 200 respondents that are NOT classified correctly by the model? (i) Fishing; (6 points) (j) Orchestras; (e) The data file ps2q2d.sas7bdat contains the age and sex of 3 new visitors. Use your model to (k) Night life; estimate to which cluster each of them belongs. (6 points) (1) Camping; (m) State parks",
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"authors": "Charles H. Gibson",
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