Exam 17: Business Analytics

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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 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 do not 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 do not watch more than 5 hours of TV a day and are offered the bundled price of higher than $50.

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Multilayer perceptrons usually contain an input layer,a hidden layer and an output layer.

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In a regression tree,the dependent variable is a categorical variable.

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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 at least $45 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 at least $45 thousand spent on TV advertisement and at least 25 advertisement appearances a day.

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Successful implementation of a regression tree requires a method to provide prediction for the target variable at each of the nodes.

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There is no significant difference between filtering performed in a complex real- world business analytic and filtering performed using the slicers in a PivotTable in Excel.

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The result of the regression tree is affected by the distribution of the independent variables.

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

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

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Bullet graphs that use color to represent the value of a second variable,thereby increasing the data density of the displays,is an example of chartjunk.

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

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

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The LogWorth statistic is used to decide when to split a node of a regression tree.

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