Exam 17: Business Analytics

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SCENARIO 17-7 The output below shows the results of cluster analysis on the different regions of the world (North America,Asia Pacific,Western Europe,Central & Eastern Europe,Latin America,and Middle East & Africa)based on the amounts (in billions of US dollars)and the percentage changes from prior year of business-to-consumer ecommerce sales last year. SCENARIO 17-7 The output below shows the results of cluster analysis on the different regions of the world (North America,Asia Pacific,Western Europe,Central & Eastern Europe,Latin America,and Middle East & Africa)based on the amounts (in billions of US dollars)and the percentage changes from prior year of business-to-consumer ecommerce sales last year.    -Referring to Scenario 17-7,North America and Western Europe are the second groups of countries that cluster together. -Referring to Scenario 17-7,North America and Western Europe are the second groups of countries that cluster together.

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The G 2 statistic is a measure of the probability that can be attributed to the response that has occurred.

(True/False)
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In multidimensional scaling,the stress statistic is used to measure the distance between objects.

(True/False)
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Some business analytics involve starting with many variables,followed by filtering the data by exploring specific combinations of categorical values or numerical range.In Excel,this approach is mimicked by using a slicer.

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SCENARIO 17-3 The tree diagram below shows the results of the classification tree model that has been constructed to predict the probability of a cable company's customers who will switch ("Yes" or "No")into its bundled program offering based on the price ($30,$40,$50,$60)and whether the customer spends more than 5 hours a day watching TV ("Yes" or "No")using the data set of 100 customers collected from a survey. SCENARIO 17-3 The tree diagram below shows the results of the classification tree model that has been constructed to predict the probability of a cable company's customers who will switch (Yes or No)into its bundled program offering based on the price ($30,$40,$50,$60)and whether the customer spends more than 5 hours a day watching TV (Yes or No)using the data set of 100 customers collected from a survey.      -Referring to Scenario 17-3,the highest probability of switching is predicted to occur among customers who do not watch more than 5 hours of TV a day and are offered the bundled price of lower than $50. SCENARIO 17-3 The tree diagram below shows the results of the classification tree model that has been constructed to predict the probability of a cable company's customers who will switch (Yes or No)into its bundled program offering based on the price ($30,$40,$50,$60)and whether the customer spends more than 5 hours a day watching TV (Yes or No)using the data set of 100 customers collected from a survey.      -Referring to Scenario 17-3,the highest probability of switching is predicted to occur among customers who do not watch more than 5 hours of TV a day and are offered the bundled price of lower than $50. -Referring to Scenario 17-3,the highest probability of switching is predicted to occur among customers who do not watch more than 5 hours of TV a day and are offered the bundled price of lower than $50.

(True/False)
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SCENARIO 17-3 The tree diagram below shows the results of the classification tree model that has been constructed to predict the probability of a cable company's customers who will switch ("Yes" or "No")into its bundled program offering based on the price ($30,$40,$50,$60)and whether the customer spends more than 5 hours a day watching TV ("Yes" or "No")using the data set of 100 customers collected from a survey. SCENARIO 17-3 The tree diagram below shows the results of the classification tree model that has been constructed to predict the probability of a cable company's customers who will switch (Yes or No)into its bundled program offering based on the price ($30,$40,$50,$60)and whether the customer spends more than 5 hours a day watching TV (Yes or No)using the data set of 100 customers collected from a survey.      -Referring to Scenario 17-3,the highest probability of switching is predicted to occur among customers who watch more than 5 hours of TV a day and are offered the bundled price of higher than $50. SCENARIO 17-3 The tree diagram below shows the results of the classification tree model that has been constructed to predict the probability of a cable company's customers who will switch (Yes or No)into its bundled program offering based on the price ($30,$40,$50,$60)and whether the customer spends more than 5 hours a day watching TV (Yes or No)using the data set of 100 customers collected from a survey.      -Referring to Scenario 17-3,the highest probability of switching is predicted to occur among customers who watch more than 5 hours of TV a day and are offered the bundled price of higher than $50. -Referring to Scenario 17-3,the highest probability of switching is predicted to occur among customers who watch more than 5 hours of TV a day and are offered the bundled price of higher than $50.

(True/False)
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SCENARIO 17-6 The neural network output below was obtained for predicting the weekend box office revenue of a newly released movie (in thousands of dollars)based on data collected in different cities on the expenditure (at $25,$30,$35,$40,$45,$50,$55,$60 $65 or $70 thousands)spent on TV advertising and the number of times (10,15,20,25,30 or 35)a day the advertisement appear on TV. SCENARIO 17-6 The neural network output below was obtained for predicting the weekend box office revenue of a newly released movie (in thousands of dollars)based on data collected in different cities on the expenditure (at $25,$30,$35,$40,$45,$50,$55,$60 $65 or $70 thousands)spent on TV advertising and the number of times (10,15,20,25,30 or 35)a day the advertisement appear on TV.    -Referring to Scenario 17-6,how many hidden nodes are used in the neural network model? -Referring to Scenario 17-6,how many hidden nodes are used in the neural network model?

(Short Answer)
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Which of the following is NOT one of the categories of predictive analytics methods?

(Multiple Choice)
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Dashboards may contain all but which of the following?

(Multiple Choice)
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SCENARIO 17-5 The output below shows the results of the neural network model that has been constructed to predict the probability of a cable company's customers who will switch ("Yes" or "No")into its bundled program offering based on the price ($30,$40,$50,$60)and whether the customer spends more than 5 hours a day watching TV ("Yes" or "No")using the date set of 100 customers collected from a survey. SCENARIO 17-5 The output below shows the results of the neural network model that has been constructed to predict the probability of a cable company's customers who will switch (Yes or No)into its bundled program offering based on the price ($30,$40,$50,$60)and whether the customer spends more than 5 hours a day watching TV (Yes or No)using the date set of 100 customers collected from a survey.     Business Analytics 17-19 -Referring to Scenario 17-5,the misclassification rate of 0.2058824 in the validation data set means that how many customers in the validation data are incorrectly classified? Business Analytics 17-19 -Referring to Scenario 17-5,the misclassification rate of 0.2058824 in the validation data set means that how many customers in the validation data are incorrectly classified?

(Short Answer)
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SCENARIO 17-2 The treemap below shows the amounts (size)measured in billions of US dollars and percentage changes from prior year (color)of business-to-consumer ecommerce sales last year for North America,Asia Pacific,Western Europe,Central & Eastern Europe,Latin America,and Middle East & Africa. SCENARIO 17-2 The treemap below shows the amounts (size)measured in billions of US dollars and percentage changes from prior year (color)of business-to-consumer ecommerce sales last year for North America,Asia Pacific,Western Europe,Central & Eastern Europe,Latin America,and Middle East & Africa.    -Referring to Scenario 17-2,the Asia Pacific region has the largest amount of business-to-consumer ecommerce sales last year. -Referring to Scenario 17-2,the Asia Pacific region has the largest amount of business-to-consumer ecommerce sales last year.

(True/False)
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Successful use of a regression tree requires a precise description of the parameters of the tree.

(True/False)
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Successful implementation of a classification tree requires rules for splitting the data at each node based on an independent variable.

(True/False)
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The Akaike information criteria (AIC)or the corrected Akaike information criteria (AICc)can be used to compare alternative models chosen by the classification tree.

(True/False)
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SCENARIO 17-4 The regression tree below was obtained for predicting the weekend box office revenue of a newly released movie (in thousands of dollars)based on data collected in different cities on the expenditure (at $25,$30,$35,$40,$45,$50,$55,$60,$65 or $70 thousand)spent on TV advertising and the number of times (10,15,20,25,30 or 35)a day the advertisement appear on TV. SCENARIO 17-4 The regression tree below was obtained for predicting the weekend box office revenue of a newly released movie (in thousands of dollars)based on data collected in different cities on the expenditure (at $25,$30,$35,$40,$45,$50,$55,$60,$65 or $70 thousand)spent on TV advertising and the number of times (10,15,20,25,30 or 35)a day the advertisement appear on TV.    -Referring to Scenario 17-4,the first split occurs at 25 TV appearances a day of the advertisement. -Referring to Scenario 17-4,the first split occurs at 25 TV appearances a day of the advertisement.

(True/False)
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SCENARIO 17-2 The treemap below shows the amounts (size)measured in billions of US dollars and percentage changes from prior year (color)of business-to-consumer ecommerce sales last year for North America,Asia Pacific,Western Europe,Central & Eastern Europe,Latin America,and Middle East & Africa. SCENARIO 17-2 The treemap below shows the amounts (size)measured in billions of US dollars and percentage changes from prior year (color)of business-to-consumer ecommerce sales last year for North America,Asia Pacific,Western Europe,Central & Eastern Europe,Latin America,and Middle East & Africa.    -Referring to Scenario 17-2,which region has the slowest growth in business-to-consumer ecommerce sales last year? -Referring to Scenario 17-2,which region has the slowest growth in business-to-consumer ecommerce sales last year?

(Short Answer)
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Some consider bullet graphs little more than examples of chartjunk,even as many decision makers request them due to their visual appeal,due to the amount of the space they consume.

(True/False)
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Some business analytics involve starting with many variables,followed by filtering the data by exploring specific combinations of categorical values or numerical range.In Excel,this approach is mimicked by using a drill-down.

(True/False)
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SCENARIO 17-4 The regression tree below was obtained for predicting the weekend box office revenue of a newly released movie (in thousands of dollars)based on data collected in different cities on the expenditure (at $25,$30,$35,$40,$45,$50,$55,$60,$65 or $70 thousand)spent on TV advertising and the number of times (10,15,20,25,30 or 35)a day the advertisement appear on TV. SCENARIO 17-4 The regression tree below was obtained for predicting the weekend box office revenue of a newly released movie (in thousands of dollars)based on data collected in different cities on the expenditure (at $25,$30,$35,$40,$45,$50,$55,$60,$65 or $70 thousand)spent on TV advertising and the number of times (10,15,20,25,30 or 35)a day the advertisement appear on TV.    -Referring to Scenario 17-4,the first split occurs at $45 thousand spent on TV advertising. -Referring to Scenario 17-4,the first split occurs at $45 thousand spent on TV advertising.

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Neural networks can suffer from poor quality of data,insufficient data,or overfitted models.

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