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SCENARIO 14-4 The Regression Tree Below Was Obtained for Predicting the Weekend

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SCENARIO 14-4
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 14-4 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 14-4, what percentage of the variation in weekend box office revenue can be explained by the amount spent on TV advertising and the number of times a day the advertisement appears on TV?
-Referring to SCENARIO 14-4, what percentage of the variation in weekend box office revenue can be explained by the amount spent on TV advertising and the number of times a day the advertisement appears on TV?


Definitions:

Mass

Mass is a measure of the amount of matter in an object, typically in units such as kilograms or grams.

Material

The substance or mixture of substances that constitute an object or can be used to manufacture objects.

Density

A physical property defined as an object's mass per unit volume, indicating how compactly the mass is distributed in the object.

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