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

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True/False

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 first split occurs at $45 thousand spent on TV advertising.
-True or False: Referring to Scenario 17-4, the first split occurs at $45 thousand spent on TV
advertising.


Definitions:

Negative Externalities

A situation where a third party suffers from a decision or action made by others, typically not reflected in the market price.

Positive Externalities

Benefits enjoyed by third-party individuals or the society at large, which result from an economic activity but are not reflected in the market prices.

Negative Externality

An external effect of a product or activity that imposes a negative impact on a third party or the environment.

Internalize

The process of taking into account the external effects of economic actions, such as externalities, within the decision-making process.

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