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SCENARIO 17-4 The Regression Tree Below Was Obtained for Predicting the Weekend

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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.
Business Analytics 17-15 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: 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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