Exam 17: Business Analytics

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Single linkage can be used to measure the distance between objects in cluster analysis.

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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.

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SCENARIO 17-1 The table below contains the sparklines for the rates of return (in percentage)for three different stocks from 2007 to 2013. SCENARIO 17-1 The table below contains the sparklines for the rates of return (in percentage)for three different stocks from 2007 to 2013.   -Referring to Scenario 17-1, the rates of return of stock ____ have the smallest variation among the three. -Referring to Scenario 17-1, the rates of return of stock ____ have the smallest variation among the three.

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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 e-commerce 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 e-commerce sales last year.   -Referring to Scenario 17-7, the complete method is used to measure the maximum distance between clusters. -Referring to Scenario 17-7, the "complete" method is used to measure the maximum distance between clusters.

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Dashboards may contain all but which of the following?

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SCENARIO 17-1 The table below contains the sparklines for the rates of return (in percentage)for three different stocks from 2007 to 2013. SCENARIO 17-1 The table below contains the sparklines for the rates of return (in percentage)for three different stocks from 2007 to 2013.   -Referring to Scenario 17-1, the pattern of the rates of return of stock ____ and stock ____ are similar. -Referring to Scenario 17-1, the pattern of the rates of return of stock ____ and stock ____ are similar.

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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, how many cities were used in generating the regression tree? -Referring to Scenario 17-4, how many cities were used in generating the regression tree?

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SCENARIO 17-1 The table below contains the sparklines for the rates of return (in percentage)for three different stocks from 2007 to 2013. SCENARIO 17-1 The table below contains the sparklines for the rates of return (in percentage)for three different stocks from 2007 to 2013.   -Referring to Scenario 17-1, the sparklines enable you to predict that the rates of return of the stock market in 2014 will be higher than in 2013. -Referring to Scenario 17-1, the sparklines enable you to predict that the rates of return of the stock market in 2014 will be higher than in 2013.

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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. -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.

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Each observation is treated as its own cluster at the beginning in hierarchical clustering.

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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 highest mean weekend box office revenue is predicted to occur with less than $45 thousand spent on TV advertisement and fewer than 25 advertisement appearances a day. -Referring to Scenario 17-4, the highest mean weekend box office revenue is predicted to occur with less than $45 thousand spent on TV advertisement and fewer than 25 advertisement appearances a day.

(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 highest mean weekend box office revenue is predicted to occur with $55 thousand spent on TV advertisement and at least 25 advertisement appearances a day. -Referring to Scenario 17-4, the highest mean weekend box office revenue is predicted to occur with $55 thousand spent on TV advertisement and at least 25 advertisement appearances a day.

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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, what is the lowest rate of switching into the bundled offering? -Referring to Scenario 17-3, what is the lowest rate of switching into the bundled offering?

(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 e-commerce 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 e-commerce 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 Middle East & Africa region has the slowest growth in business-to-consumer ecommerce sales last year. -Referring to Scenario 17-2, the Middle East & Africa region has the slowest growth in business-to-consumer ecommerce sales last year.

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Which of the following is NOT among the three broad categories of analytic methods?

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Dashboards may contain all but which of the following?

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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 17-4 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 highest mean weekend box office revenue is predicted to occur with $30 thousand spent on TV advertisement and 30 advertisement appearances a day. -Referring to Scenario 17-4, the highest mean weekend box office revenue is predicted to occur with $30 thousand spent on TV advertisement and 30 advertisement appearances a day.

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Ward's minimum variance can be used to measure the distance between clusters in cluster analysis.

(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 e-commerce 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 e-commerce 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 smallest amount of business-to-consumer ecommerce sales last year? -Referring to Scenario 17-2, which region has the smallest amount of business-to-consumer ecommerce sales last year?

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