Exam 17: Business Analytics

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. Business Analytics 17-15 -True or False: Referring to Scenario 17-4, the highest mean weekend box office revenue is predicted to occur with $55 thousands spent on TV advertisement and 35 advertisement appearances a day.

True or False: In multidimensional scaling, the stress statistic is used to measure the goodness of fit of the results to the data.

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. Business Analytics 17-15 -True or False: 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.

True or False: 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 gauges.

True or False: Some business analytics involve starting with many variables, followed by filtering the data by exploring specific combinations of categorical values or numerical range.

SCENARIO 17-1 -True or False: Referring to Scenario 17-1, the sparklines enable you to conclude that the rates of return of the stock market in general is volatile from 2007 to 2013.

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. -True or False: 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 between $30 and $40.

Which of the following investigates what should occur and suggest the best course of action For the future?

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?

True or False: In real-world business analytics, filtering is typically performed on large data based on complex conditional relationships.

True or False: In k-means clustering, observations that are assigned to a cluster may never be reassigned to a different cluster later in the process.

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. -True or False: 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 lower than $50.

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. Business Analytics 17-15 -True or False: 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.

True or False: Neural networks require only training data but not validating data.

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

SCENARIO 17-1 -True or False: Referring to Scenario 17-1, the sparklines enable you to predict that the rates of return of the stock market in 2014 will be about the same as in 2013.

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 fastest growth in business-to-consumer ecommerce sales last year?

True or False: In nonmetric multidimensional scaling, the distance between objects is ordinal scaled.

True or False: 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.

True or False: 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.